Datasets:

bigcomputer
/

kaggle-notebooks-outputs-filtered-11

Dataset card Data Studio Files Files and versions Community

Split (1)

train · ~8.27k rows (showing the first 4.72k)

Search is not available for this dataset

text stringlengths 1.57k 94.7M	id stringlengths 22 24	file_path stringclasses 42 values
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "0629d6b8", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T18:14:28.794695Z", "iopub.status.busy": "2021-08-07T18:14:28.793953Z", "iopub.status.idle": "2021-08-07T18:14:28.800798Z", "shell.execute_reply": "2021-08-07T18:14:28.799625Z", "shell.execute_reply.started": "2021-08-07T18:12:42.168017Z" }, "papermill": { "duration": 0.055854, "end_time": "2021-08-07T18:14:28.801091", "exception": false, "start_time": "2021-08-07T18:14:28.745237", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/kaggle/input/titanic/train.csv\n", "/kaggle/input/titanic/test.csv\n", "/kaggle/input/titanic/gender_submission.csv\n" ] } ], "source": [ "# This Python 3 environment comes with many helpful analytics libraries installed\n", "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "# For example, here's several helpful packages to load\n", "\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "\n", "# Input data files are available in the read-only \"../input/\" directory\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n", "\n", "import os\n", "for dirname, _, filenames in os.walk('/kaggle/input'):\n", " for filename in filenames:\n", " print(os.path.join(dirname, filename))\n", "\n", "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n", "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session" ] }, { "cell_type": "code", "execution_count": 2, "id": "5352cdf0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:28.880164Z", "iopub.status.busy": "2021-08-07T18:14:28.879224Z", "iopub.status.idle": "2021-08-07T18:14:28.882517Z", "shell.execute_reply": "2021-08-07T18:14:28.882016Z", "shell.execute_reply.started": "2021-08-07T18:12:42.184937Z" }, "papermill": { "duration": 0.043332, "end_time": "2021-08-07T18:14:28.882674", "exception": false, "start_time": "2021-08-07T18:14:28.839342", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings(action='ignore')" ] }, { "cell_type": "markdown", "id": "80d2f95e", "metadata": { "papermill": { "duration": 0.036466, "end_time": "2021-08-07T18:14:28.954654", "exception": false, "start_time": "2021-08-07T18:14:28.918188", "status": "completed" }, "tags": [] }, "source": [ "# Summary\n", "1. Data Preprocessing : \n", " - Drop : Name, PassengerId, Cabin, Ticket\n", " - Transform (Binning) : Age\n", " - Transform (Scaling) : Fare (MinMax)\n", " - Transform (Encoding) : Sex, Embarked, Age\n", " - Missing Value : SimpleImputer (most frequent)\n", "2. Model \n", " - RandomForestClassifier\n", " - LogisticRegression\n", " - XGBClassifier\n", " - SVC\n", " - AdaBoostClassifier\n", "3. Summary\n", " - The probabilities extracted from the five models were weighted equally, summed, and then the label was extracted." ] }, { "cell_type": "markdown", "id": "d9f20a0f", "metadata": { "papermill": { "duration": 0.035622, "end_time": "2021-08-07T18:14:29.026602", "exception": false, "start_time": "2021-08-07T18:14:28.990980", "status": "completed" }, "tags": [] }, "source": [ "# 1. Train and Test" ] }, { "cell_type": "markdown", "id": "51f9b7e5", "metadata": { "papermill": { "duration": 0.035203, "end_time": "2021-08-07T18:14:29.099167", "exception": false, "start_time": "2021-08-07T18:14:29.063964", "status": "completed" }, "tags": [] }, "source": [ "### 1.1. Load and Check Data" ] }, { "cell_type": "code", "execution_count": 3, "id": "7a34f994", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:29.182963Z", "iopub.status.busy": "2021-08-07T18:14:29.181723Z", "iopub.status.idle": "2021-08-07T18:14:29.324519Z", "shell.execute_reply": "2021-08-07T18:14:29.325033Z", "shell.execute_reply.started": "2021-08-07T18:12:55.646914Z" }, "papermill": { "duration": 0.18911, "end_time": "2021-08-07T18:14:29.325231", "exception": false, "start_time": "2021-08-07T18:14:29.136121", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "train = pd.read_csv(\"/kaggle/input/titanic/train.csv\")\n", "test = pd.read_csv(\"/kaggle/input/titanic/test.csv\")\n", "submission = pd.read_csv(\"/kaggle/input/titanic/gender_submission.csv\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "90b9e546", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:29.400012Z", "iopub.status.busy": "2021-08-07T18:14:29.399328Z", "iopub.status.idle": "2021-08-07T18:14:29.406920Z", "shell.execute_reply": "2021-08-07T18:14:29.407422Z", "shell.execute_reply.started": "2021-08-07T18:12:55.768457Z" }, "papermill": { "duration": 0.04666, "end_time": "2021-08-07T18:14:29.407619", "exception": false, "start_time": "2021-08-07T18:14:29.360959", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(891, 12)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.shape" ] }, { "cell_type": "code", "execution_count": 5, "id": "68ee221f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:29.483026Z", "iopub.status.busy": "2021-08-07T18:14:29.482386Z", "iopub.status.idle": "2021-08-07T18:14:29.514121Z", "shell.execute_reply": "2021-08-07T18:14:29.512916Z", "shell.execute_reply.started": "2021-08-07T18:12:55.915789Z" }, "papermill": { "duration": 0.070554, "end_time": "2021-08-07T18:14:29.514346", "exception": false, "start_time": "2021-08-07T18:14:29.443792", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Name 891 non-null object \n", " 4 Sex 891 non-null object \n", " 5 Age 714 non-null float64\n", " 6 SibSp 891 non-null int64 \n", " 7 Parch 891 non-null int64 \n", " 8 Ticket 891 non-null object \n", " 9 Fare 891 non-null float64\n", " 10 Cabin 204 non-null object \n", " 11 Embarked 889 non-null object \n", "dtypes: float64(2), int64(5), object(5)\n", "memory usage: 83.7+ KB\n" ] } ], "source": [ "# Check the missing values and types by data column.\n", "train.info()" ] }, { "cell_type": "markdown", "id": "dcf6a956", "metadata": { "papermill": { "duration": 0.036138, "end_time": "2021-08-07T18:14:29.587897", "exception": false, "start_time": "2021-08-07T18:14:29.551759", "status": "completed" }, "tags": [] }, "source": [ "### 1.2. Data Preprocessing" ] }, { "cell_type": "code", "execution_count": 6, "id": "fc71310c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:29.666870Z", "iopub.status.busy": "2021-08-07T18:14:29.666183Z", "iopub.status.idle": "2021-08-07T18:14:30.820884Z", "shell.execute_reply": "2021-08-07T18:14:30.820260Z", "shell.execute_reply.started": "2021-08-07T18:12:59.203914Z" }, "papermill": { "duration": 1.196707, "end_time": "2021-08-07T18:14:30.821047", "exception": false, "start_time": "2021-08-07T18:14:29.624340", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.impute import SimpleImputer\n", "\n", "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", "execution_count": 7, "id": "61d6d5b8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:30.899201Z", "iopub.status.busy": "2021-08-07T18:14:30.898528Z", "iopub.status.idle": "2021-08-07T18:14:30.901817Z", "shell.execute_reply": "2021-08-07T18:14:30.902283Z", "shell.execute_reply.started": "2021-08-07T18:13:00.367994Z" }, "papermill": { "duration": 0.045007, "end_time": "2021-08-07T18:14:30.902464", "exception": false, "start_time": "2021-08-07T18:14:30.857457", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Seperate the X and y of the data.\n", "y = train.pop('Survived')\n", "X = train" ] }, { "cell_type": "code", "execution_count": 8, "id": "ca287965", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:30.983023Z", "iopub.status.busy": "2021-08-07T18:14:30.982327Z", "iopub.status.idle": "2021-08-07T18:14:30.985466Z", "shell.execute_reply": "2021-08-07T18:14:30.984963Z", "shell.execute_reply.started": "2021-08-07T18:13:00.375448Z" }, "papermill": { "duration": 0.045943, "end_time": "2021-08-07T18:14:30.985637", "exception": false, "start_time": "2021-08-07T18:14:30.939694", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Drop columns\n", "X.drop([\"PassengerId\", \"Name\", \"Cabin\", \"Ticket\"], axis=1, inplace=True)" ] }, { "cell_type": "code", "execution_count": 9, "id": "7413694b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.065855Z", "iopub.status.busy": "2021-08-07T18:14:31.065085Z", "iopub.status.idle": "2021-08-07T18:14:31.067922Z", "shell.execute_reply": "2021-08-07T18:14:31.067131Z", "shell.execute_reply.started": "2021-08-07T18:13:06.741113Z" }, "papermill": { "duration": 0.046374, "end_time": "2021-08-07T18:14:31.068185", "exception": false, "start_time": "2021-08-07T18:14:31.021811", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Binning column 'Age' in 10 units.\n", "bins = list(np.arange(0, 100, 10))\n", "X['Age'] = np.digitize(X['Age'], bins)" ] }, { "cell_type": "code", "execution_count": 10, "id": "c77e574a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.148055Z", "iopub.status.busy": "2021-08-07T18:14:31.147340Z", "iopub.status.idle": "2021-08-07T18:14:31.149486Z", "shell.execute_reply": "2021-08-07T18:14:31.150000Z", "shell.execute_reply.started": "2021-08-07T18:13:06.921919Z" }, "papermill": { "duration": 0.045202, "end_time": "2021-08-07T18:14:31.150187", "exception": false, "start_time": "2021-08-07T18:14:31.104985", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# 'Fare' column applies MinMaxScaler.\n", "fare_scaler = MinMaxScaler()\n", "X['Fare'] = fare_scaler.fit_transform(X['Fare'].to_numpy().reshape(len(X), 1))" ] }, { "cell_type": "code", "execution_count": 11, "id": "d1cf5e36", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.227372Z", "iopub.status.busy": "2021-08-07T18:14:31.226701Z", "iopub.status.idle": "2021-08-07T18:14:31.231920Z", "shell.execute_reply": "2021-08-07T18:14:31.232684Z", "shell.execute_reply.started": "2021-08-07T18:13:07.113091Z" }, "papermill": { "duration": 0.046237, "end_time": "2021-08-07T18:14:31.232889", "exception": false, "start_time": "2021-08-07T18:14:31.186652", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Grants a unique number to change the Categorical column to a numeric value. This is the same as Label Encoding.\n", "def fit_lb(column, lb_enc_dict, df):\n", " if column not in lb_enc_dict.keys():\n", " sub_enc_dict = dict()\n", " for idx, e in enumerate(set(df[column])):\n", " if e is not np.nan:\n", " sub_enc_dict[e] = float(idx)\n", " lb_enc_dict[column] = sub_enc_dict\n", " return lb_enc_dict" ] }, { "cell_type": "code", "execution_count": 12, "id": "962f1fa5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.308882Z", "iopub.status.busy": "2021-08-07T18:14:31.308134Z", "iopub.status.idle": "2021-08-07T18:14:31.314352Z", "shell.execute_reply": "2021-08-07T18:14:31.314869Z", "shell.execute_reply.started": "2021-08-07T18:13:07.681190Z" }, "papermill": { "duration": 0.045607, "end_time": "2021-08-07T18:14:31.315069", "exception": false, "start_time": "2021-08-07T18:14:31.269462", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Function to convert to Label Encoding.\n", "def transform_lb(data, column, lb_enc_dict):\n", " transform_res = []\n", " for e in data:\n", " if e in lb_enc_dict[column].keys():\n", " transform_res.append(lb_enc_dict[column][e])\n", " else:\n", " if e is not np.nan:\n", " max_idx = max(lb_enc_dict[column].values()) + 1.0\n", " lb_enc_dict[column][e] = max_idx\n", " transform_res.append(max_idx)\n", " else:\n", " transform_res.append(np.nan)\n", " return transform_res" ] }, { "cell_type": "code", "execution_count": 13, "id": "b1b7c01b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.392250Z", "iopub.status.busy": "2021-08-07T18:14:31.391568Z", "iopub.status.idle": "2021-08-07T18:14:31.397463Z", "shell.execute_reply": "2021-08-07T18:14:31.396844Z", "shell.execute_reply.started": "2021-08-07T18:13:07.784706Z" }, "papermill": { "duration": 0.045495, "end_time": "2021-08-07T18:14:31.397628", "exception": false, "start_time": "2021-08-07T18:14:31.352133", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Make(Fit) Encoding Dictionary\n", "lb_enc_dict = dict()\n", "lb_enc_dict = fit_lb('Sex', lb_enc_dict, X)\n", "lb_enc_dict = fit_lb('Embarked', lb_enc_dict, X)\n", "lb_enc_dict = fit_lb('Age', lb_enc_dict, X)" ] }, { "cell_type": "code", "execution_count": 14, "id": "f7247bce", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.480399Z", "iopub.status.busy": "2021-08-07T18:14:31.479710Z", "iopub.status.idle": "2021-08-07T18:14:31.482956Z", "shell.execute_reply": "2021-08-07T18:14:31.482375Z", "shell.execute_reply.started": "2021-08-07T18:13:08.242420Z" }, "papermill": { "duration": 0.049178, "end_time": "2021-08-07T18:14:31.483116", "exception": false, "start_time": "2021-08-07T18:14:31.433938", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Convert to numeric value using Dictionary. \n", "X['Sex'] = transform_lb(list(X['Sex']), 'Sex', lb_enc_dict)\n", "X['Embarked'] = transform_lb(list(X['Embarked']), 'Embarked', lb_enc_dict)\n", "X['Age'] = transform_lb(list(X['Age']), 'Age', lb_enc_dict)" ] }, { "cell_type": "code", "execution_count": 15, "id": "66bf6b62", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.565108Z", "iopub.status.busy": "2021-08-07T18:14:31.564024Z", "iopub.status.idle": "2021-08-07T18:14:31.572641Z", "shell.execute_reply": "2021-08-07T18:14:31.572016Z", "shell.execute_reply.started": "2021-08-07T18:13:08.472810Z" }, "papermill": { "duration": 0.052814, "end_time": "2021-08-07T18:14:31.572786", "exception": false, "start_time": "2021-08-07T18:14:31.519972", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Use the most frequent value to fill in the missing value.\n", "imputor = SimpleImputer(missing_values=np.nan, strategy='most_frequent')\n", "X = imputor.fit_transform(X)" ] }, { "cell_type": "code", "execution_count": 16, "id": "fb95ed8a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.652597Z", "iopub.status.busy": "2021-08-07T18:14:31.651868Z", "iopub.status.idle": "2021-08-07T18:14:31.655538Z", "shell.execute_reply": "2021-08-07T18:14:31.656074Z", "shell.execute_reply.started": "2021-08-07T18:13:08.889216Z" }, "papermill": { "duration": 0.047146, "end_time": "2021-08-07T18:14:31.656250", "exception": false, "start_time": "2021-08-07T18:14:31.609104", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "train_X Shape : (623, 7)\n", "train_y Shape : (623,)\n", "test_X Shape : (268, 7)\n", "test_y Shape : (268,)\n" ] } ], "source": [ "# Separate the Train and Test data.\n", "train_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.3)\n", "print(f\"train_X Shape : {train_X.shape}\")\n", "print(f\"train_y Shape : {train_y.shape}\")\n", "print(f\"test_X Shape : {test_X.shape}\")\n", "print(f\"test_y Shape : {test_y.shape}\")" ] }, { "cell_type": "markdown", "id": "2579cac5", "metadata": { "papermill": { "duration": 0.035937, "end_time": "2021-08-07T18:14:31.728799", "exception": false, "start_time": "2021-08-07T18:14:31.692862", "status": "completed" }, "tags": [] }, "source": [ "### 1.3. Modeling" ] }, { "cell_type": "code", "execution_count": 17, "id": "300a5df5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:31.806787Z", "iopub.status.busy": "2021-08-07T18:14:31.806009Z", "iopub.status.idle": "2021-08-07T18:14:31.957601Z", "shell.execute_reply": "2021-08-07T18:14:31.956978Z", "shell.execute_reply.started": "2021-08-07T18:13:09.865063Z" }, "papermill": { "duration": 0.192781, "end_time": "2021-08-07T18:14:31.957751", "exception": false, "start_time": "2021-08-07T18:14:31.764970", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.metrics import accuracy_score\n", "\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.linear_model import LogisticRegression\n", "from xgboost import XGBClassifier\n", "from sklearn.svm import SVC\n", "from sklearn.ensemble import AdaBoostClassifier" ] }, { "cell_type": "code", "execution_count": 18, "id": "67dad118", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:32.044538Z", "iopub.status.busy": "2021-08-07T18:14:32.039124Z", "iopub.status.idle": "2021-08-07T18:14:32.180405Z", "shell.execute_reply": "2021-08-07T18:14:32.179683Z", "shell.execute_reply.started": "2021-08-07T18:13:10.409474Z" }, "papermill": { "duration": 0.184806, "end_time": "2021-08-07T18:14:32.180585", "exception": false, "start_time": "2021-08-07T18:14:31.995779", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[RandomForestClassifier] Accuracy : 0.7799\n" ] } ], "source": [ "rf_clf = RandomForestClassifier(criterion='entropy', n_estimators=50)\n", "rf_clf.fit(train_X, train_y)\n", "rf_pred_y = rf_clf.predict(test_X)\n", "rf_pred_proba = rf_clf.predict_proba(test_X)\n", "rf_accuracy = round(accuracy_score(test_y, rf_pred_y), 4)\n", "print(f\"[RandomForestClassifier] Accuracy : {rf_accuracy}\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "83393594", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:32.263215Z", "iopub.status.busy": "2021-08-07T18:14:32.262201Z", "iopub.status.idle": "2021-08-07T18:14:32.424238Z", "shell.execute_reply": "2021-08-07T18:14:32.423652Z", "shell.execute_reply.started": "2021-08-07T18:13:10.585279Z" }, "papermill": { "duration": 0.206194, "end_time": "2021-08-07T18:14:32.424378", "exception": false, "start_time": "2021-08-07T18:14:32.218184", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[LogisticRegression] Accuracy : 0.7686567164179104\n" ] } ], "source": [ "lg_clf = LogisticRegression(C=1.0, penalty='l2', tol=1e-07)\n", "lg_clf.fit(train_X, train_y)\n", "lg_pred_y = lg_clf.predict(test_X)\n", "lg_pred_proba = lg_clf.predict_proba(test_X)\n", "lg_accuracy = accuracy_score(test_y, lg_pred_y)\n", "print(f\"[LogisticRegression] Accuracy : {lg_accuracy}\")" ] }, { "cell_type": "code", "execution_count": 20, "id": "8bfb07ff", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:32.506858Z", "iopub.status.busy": "2021-08-07T18:14:32.505351Z", "iopub.status.idle": "2021-08-07T18:14:35.558482Z", "shell.execute_reply": "2021-08-07T18:14:35.559467Z", "shell.execute_reply.started": "2021-08-07T18:13:11.044165Z" }, "papermill": { "duration": 3.097978, "end_time": "2021-08-07T18:14:35.559706", "exception": false, "start_time": "2021-08-07T18:14:32.461728", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[18:14:32] WARNING: ../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.\n", "[XGBClassifier] Accuracy : 0.8059701492537313\n" ] } ], "source": [ "xgb_clf = XGBClassifier(colsample_bynode=0.8, learning_rate=1, max_depth=3, num_parallel_tree=100, objective='binary:logistic', subsample=0.8)\n", "xgb_clf.fit(train_X, train_y)\n", "xgb_pred_y = xgb_clf.predict(test_X)\n", "xgb_pred_proba = xgb_clf.predict_proba(test_X)\n", "xgb_accuracy = accuracy_score(test_y, xgb_pred_y)\n", "print(f\"[XGBClassifier] Accuracy : {xgb_accuracy}\")" ] }, { "cell_type": "code", "execution_count": 21, "id": "4ffbd73f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:35.644640Z", "iopub.status.busy": "2021-08-07T18:14:35.643936Z", "iopub.status.idle": "2021-08-07T18:14:35.706910Z", "shell.execute_reply": "2021-08-07T18:14:35.705920Z", "shell.execute_reply.started": "2021-08-07T18:13:14.128508Z" }, "papermill": { "duration": 0.107593, "end_time": "2021-08-07T18:14:35.707128", "exception": false, "start_time": "2021-08-07T18:14:35.599535", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[SVC] Accuracy : 0.8097014925373134\n" ] } ], "source": [ "svc_clf = SVC(C=4.0, kernel='rbf', tol=0.01, probability=True)\n", "svc_clf.fit(train_X, train_y)\n", "svc_pred_y = svc_clf.predict(test_X)\n", "svc_pred_proba = svc_clf.predict_proba(test_X)\n", "svc_accuracy = accuracy_score(test_y, svc_pred_y)\n", "print(f\"[SVC] Accuracy : {svc_accuracy}\")" ] }, { "cell_type": "code", "execution_count": 22, "id": "9b886933", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:35.795011Z", "iopub.status.busy": "2021-08-07T18:14:35.794175Z", "iopub.status.idle": "2021-08-07T18:14:35.913706Z", "shell.execute_reply": "2021-08-07T18:14:35.913003Z", "shell.execute_reply.started": "2021-08-07T18:13:14.202414Z" }, "papermill": { "duration": 0.166996, "end_time": "2021-08-07T18:14:35.913852", "exception": false, "start_time": "2021-08-07T18:14:35.746856", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[AdaBoostClassifier] Accuracy : 0.7723880597014925\n" ] } ], "source": [ "ada_clf = AdaBoostClassifier(n_estimators=50)\n", "ada_clf.fit(train_X, train_y)\n", "ada_pred_y = ada_clf.predict(test_X)\n", "ada_pred_proba = ada_clf.predict_proba(test_X)\n", "ada_accuracy = accuracy_score(test_y, ada_pred_y)\n", "print(f\"[AdaBoostClassifier] Accuracy : {ada_accuracy}\")" ] }, { "cell_type": "markdown", "id": "95d934c5", "metadata": { "papermill": { "duration": 0.037929, "end_time": "2021-08-07T18:14:35.990274", "exception": false, "start_time": "2021-08-07T18:14:35.952345", "status": "completed" }, "tags": [] }, "source": [ "### 1.4. Summary (Ensemble)" ] }, { "cell_type": "code", "execution_count": 23, "id": "52ec0095", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.073725Z", "iopub.status.busy": "2021-08-07T18:14:36.072630Z", "iopub.status.idle": "2021-08-07T18:14:36.077514Z", "shell.execute_reply": "2021-08-07T18:14:36.076963Z", "shell.execute_reply.started": "2021-08-07T18:13:21.998628Z" }, "papermill": { "duration": 0.049087, "end_time": "2021-08-07T18:14:36.077660", "exception": false, "start_time": "2021-08-07T18:14:36.028573", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[Total] Accuracy : 0.7947761194029851\n" ] } ], "source": [ "total_proba = rf_pred_proba * 0.2 + lg_pred_proba * 0.2 + xgb_pred_proba * 0.2 + ada_pred_proba * 0.2 + svc_pred_proba * 0.2\n", "total_pred_y = np.argmax(total_proba, axis=1)\n", "total_accuracy = accuracy_score(test_y, total_pred_y)\n", "print(f\"[Total] Accuracy : {total_accuracy}\")" ] }, { "cell_type": "markdown", "id": "bc4e7f67", "metadata": { "papermill": { "duration": 0.038707, "end_time": "2021-08-07T18:14:36.159055", "exception": false, "start_time": "2021-08-07T18:14:36.120348", "status": "completed" }, "tags": [] }, "source": [ "# 2. Submission Task" ] }, { "cell_type": "markdown", "id": "27c5a35e", "metadata": { "papermill": { "duration": 0.040048, "end_time": "2021-08-07T18:14:36.238108", "exception": false, "start_time": "2021-08-07T18:14:36.198060", "status": "completed" }, "tags": [] }, "source": [ "### 2.1. Data Preprocessing" ] }, { "cell_type": "code", "execution_count": 24, "id": "96528c31", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.322212Z", "iopub.status.busy": "2021-08-07T18:14:36.321522Z", "iopub.status.idle": "2021-08-07T18:14:36.324999Z", "shell.execute_reply": "2021-08-07T18:14:36.324383Z", "shell.execute_reply.started": "2021-08-07T18:13:26.221018Z" }, "papermill": { "duration": 0.048184, "end_time": "2021-08-07T18:14:36.325146", "exception": false, "start_time": "2021-08-07T18:14:36.276962", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "test.drop([\"PassengerId\", \"Name\", \"Cabin\", \"Ticket\"], axis=1, inplace=True)" ] }, { "cell_type": "code", "execution_count": 25, "id": "a87ce36f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.409187Z", "iopub.status.busy": "2021-08-07T18:14:36.408541Z", "iopub.status.idle": "2021-08-07T18:14:36.411103Z", "shell.execute_reply": "2021-08-07T18:14:36.411568Z", "shell.execute_reply.started": "2021-08-07T18:13:26.404291Z" }, "papermill": { "duration": 0.047603, "end_time": "2021-08-07T18:14:36.411744", "exception": false, "start_time": "2021-08-07T18:14:36.364141", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "test['Age'] = np.digitize(test['Age'], bins)" ] }, { "cell_type": "code", "execution_count": 26, "id": "0b857417", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.494676Z", "iopub.status.busy": "2021-08-07T18:14:36.493954Z", "iopub.status.idle": "2021-08-07T18:14:36.497174Z", "shell.execute_reply": "2021-08-07T18:14:36.496488Z", "shell.execute_reply.started": "2021-08-07T18:13:26.868337Z" }, "papermill": { "duration": 0.047127, "end_time": "2021-08-07T18:14:36.497313", "exception": false, "start_time": "2021-08-07T18:14:36.450186", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Transform the test dataset using the MinMaxScaler, which is fitted with the train dataset.\n", "test['Fare'] = fare_scaler.transform(test['Fare'].to_numpy().reshape(len(test), 1))" ] }, { "cell_type": "code", "execution_count": 27, "id": "02893f4e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.578947Z", "iopub.status.busy": "2021-08-07T18:14:36.578248Z", "iopub.status.idle": "2021-08-07T18:14:36.585911Z", "shell.execute_reply": "2021-08-07T18:14:36.585236Z", "shell.execute_reply.started": "2021-08-07T18:13:27.060335Z" }, "papermill": { "duration": 0.049894, "end_time": "2021-08-07T18:14:36.586062", "exception": false, "start_time": "2021-08-07T18:14:36.536168", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Convert to numeric value using Dictionary. \n", "test['Sex'] = transform_lb(list(test['Sex']), 'Sex', lb_enc_dict)\n", "test['Embarked'] = transform_lb(list(test['Embarked']), 'Embarked', lb_enc_dict)\n", "test['Age'] = transform_lb(list(test['Age']), 'Age', lb_enc_dict)" ] }, { "cell_type": "code", "execution_count": 28, "id": "65f06964", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.669896Z", "iopub.status.busy": "2021-08-07T18:14:36.669246Z", "iopub.status.idle": "2021-08-07T18:14:36.676911Z", "shell.execute_reply": "2021-08-07T18:14:36.676202Z", "shell.execute_reply.started": "2021-08-07T18:13:27.260178Z" }, "papermill": { "duration": 0.050099, "end_time": "2021-08-07T18:14:36.677075", "exception": false, "start_time": "2021-08-07T18:14:36.626976", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Transform the test dataset using the SimpleImputer, which is fitted with the train dataset.\n", "test = imputor.transform(test)" ] }, { "cell_type": "markdown", "id": "cdd13272", "metadata": { "papermill": { "duration": 0.040013, "end_time": "2021-08-07T18:14:36.756327", "exception": false, "start_time": "2021-08-07T18:14:36.716314", "status": "completed" }, "tags": [] }, "source": [ "### 2.2. Inference" ] }, { "cell_type": "code", "execution_count": 29, "id": "f576c79c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.838262Z", "iopub.status.busy": "2021-08-07T18:14:36.837625Z", "iopub.status.idle": "2021-08-07T18:14:36.851197Z", "shell.execute_reply": "2021-08-07T18:14:36.851721Z", "shell.execute_reply.started": "2021-08-07T18:13:28.116457Z" }, "papermill": { "duration": 0.056694, "end_time": "2021-08-07T18:14:36.851897", "exception": false, "start_time": "2021-08-07T18:14:36.795203", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[RandomForestClassifier] Inference Result Shape : (418, 2)\n" ] } ], "source": [ "rf_pred_proba = rf_clf.predict_proba(test)\n", "print(f\"[RandomForestClassifier] Inference Result Shape : {rf_pred_proba.shape}\")" ] }, { "cell_type": "code", "execution_count": 30, "id": "9ffa2d03", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:36.933677Z", "iopub.status.busy": "2021-08-07T18:14:36.932691Z", "iopub.status.idle": "2021-08-07T18:14:36.939152Z", "shell.execute_reply": "2021-08-07T18:14:36.938585Z", "shell.execute_reply.started": "2021-08-07T18:13:28.300384Z" }, "papermill": { "duration": 0.048538, "end_time": "2021-08-07T18:14:36.939288", "exception": false, "start_time": "2021-08-07T18:14:36.890750", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[LogisticRegression] Inference Result Shape : (418, 2)\n" ] } ], "source": [ "lg_pred_proba = lg_clf.predict_proba(test)\n", "print(f\"[LogisticRegression] Inference Result Shape : {lg_pred_proba.shape}\")" ] }, { "cell_type": "code", "execution_count": 31, "id": "6e843394", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.027062Z", "iopub.status.busy": "2021-08-07T18:14:37.026056Z", "iopub.status.idle": "2021-08-07T18:14:37.057581Z", "shell.execute_reply": "2021-08-07T18:14:37.058430Z", "shell.execute_reply.started": "2021-08-07T18:13:28.476438Z" }, "papermill": { "duration": 0.080125, "end_time": "2021-08-07T18:14:37.058687", "exception": false, "start_time": "2021-08-07T18:14:36.978562", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[XGBClassifier] Inference Shape : (418, 2)\n" ] } ], "source": [ "xgb_pred_proba = xgb_clf.predict_proba(test)\n", "print(f\"[XGBClassifier] Inference Shape : {xgb_pred_proba.shape}\")" ] }, { "cell_type": "code", "execution_count": 32, "id": "586da53d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.148952Z", "iopub.status.busy": "2021-08-07T18:14:37.148000Z", "iopub.status.idle": "2021-08-07T18:14:37.155792Z", "shell.execute_reply": "2021-08-07T18:14:37.156307Z", "shell.execute_reply.started": "2021-08-07T18:13:28.866286Z" }, "papermill": { "duration": 0.054535, "end_time": "2021-08-07T18:14:37.156474", "exception": false, "start_time": "2021-08-07T18:14:37.101939", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[SVC] Inference Shape : (418, 2)\n" ] } ], "source": [ "svc_pred_proba = svc_clf.predict_proba(test)\n", "print(f\"[SVC] Inference Shape : {svc_pred_proba.shape}\")" ] }, { "cell_type": "code", "execution_count": 33, "id": "60671f95", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.245680Z", "iopub.status.busy": "2021-08-07T18:14:37.244634Z", "iopub.status.idle": "2021-08-07T18:14:37.262647Z", "shell.execute_reply": "2021-08-07T18:14:37.261944Z", "shell.execute_reply.started": "2021-08-07T18:13:29.028655Z" }, "papermill": { "duration": 0.063081, "end_time": "2021-08-07T18:14:37.262797", "exception": false, "start_time": "2021-08-07T18:14:37.199716", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[SVC] AdaBoostClassifier Shape : (418, 2)\n" ] } ], "source": [ "ada_pred_proba = ada_clf.predict_proba(test)\n", "print(f\"[SVC] AdaBoostClassifier Shape : {ada_pred_proba.shape}\")" ] }, { "cell_type": "markdown", "id": "726f1d40", "metadata": { "papermill": { "duration": 0.039712, "end_time": "2021-08-07T18:14:37.343440", "exception": false, "start_time": "2021-08-07T18:14:37.303728", "status": "completed" }, "tags": [] }, "source": [ "### 2.3. Summary (Ensemble)" ] }, { "cell_type": "code", "execution_count": 34, "id": "df1439d3", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.429900Z", "iopub.status.busy": "2021-08-07T18:14:37.429219Z", "iopub.status.idle": "2021-08-07T18:14:37.433156Z", "shell.execute_reply": "2021-08-07T18:14:37.433654Z", "shell.execute_reply.started": "2021-08-07T18:13:29.964514Z" }, "papermill": { "duration": 0.050017, "end_time": "2021-08-07T18:14:37.433835", "exception": false, "start_time": "2021-08-07T18:14:37.383818", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[Total] Inference Shape : (418,)\n" ] } ], "source": [ "total_proba = rf_pred_proba * 0.2 + lg_pred_proba * 0.2 + xgb_pred_proba * 0.2 + ada_pred_proba * 0.2 + svc_pred_proba * 0.2\n", "total_pred_y = np.argmax(total_proba, axis=1)\n", "print(f\"[Total] Inference Shape : {total_pred_y.shape}\")" ] }, { "cell_type": "code", "execution_count": 35, "id": "25293ee6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.520264Z", "iopub.status.busy": "2021-08-07T18:14:37.519589Z", "iopub.status.idle": "2021-08-07T18:14:37.523417Z", "shell.execute_reply": "2021-08-07T18:14:37.524390Z", "shell.execute_reply.started": "2021-08-07T18:13:30.618302Z" }, "papermill": { "duration": 0.050238, "end_time": "2021-08-07T18:14:37.524720", "exception": false, "start_time": "2021-08-07T18:14:37.474482", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Inference Result (Sample): [0 1 0 0 1 0 0 0 1 0]\n" ] } ], "source": [ "print(f\"Inference Result (Sample): {total_pred_y[:10]}\")" ] }, { "cell_type": "code", "execution_count": 36, "id": "a1076927", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.613650Z", "iopub.status.busy": "2021-08-07T18:14:37.612689Z", "iopub.status.idle": "2021-08-07T18:14:37.616217Z", "shell.execute_reply": "2021-08-07T18:14:37.615699Z", "shell.execute_reply.started": "2021-08-07T18:13:33.276401Z" }, "papermill": { "duration": 0.04916, "end_time": "2021-08-07T18:14:37.616366", "exception": false, "start_time": "2021-08-07T18:14:37.567206", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "submission['Survived'] = total_pred_y" ] }, { "cell_type": "code", "execution_count": 37, "id": "f25e5c43", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:14:37.702862Z", "iopub.status.busy": "2021-08-07T18:14:37.702177Z", "iopub.status.idle": "2021-08-07T18:14:37.708163Z", "shell.execute_reply": "2021-08-07T18:14:37.708769Z", "shell.execute_reply.started": "2021-08-07T18:13:33.858493Z" }, "papermill": { "duration": 0.051592, "end_time": "2021-08-07T18:14:37.708955", "exception": false, "start_time": "2021-08-07T18:14:37.657363", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "submission.to_csv('sampleSubmission.csv', index=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "541d80f7", "metadata": { "papermill": { "duration": 0.042335, "end_time": "2021-08-07T18:14:37.791924", "exception": false, "start_time": "2021-08-07T18:14:37.749589", "status": "completed" }, "tags": [] }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 18.862746, "end_time": "2021-08-07T18:14:39.240744", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:14:20.377998", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/594/70594512.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "analyzed-import", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:40.111372Z", "iopub.status.busy": "2021-08-07T17:49:40.110767Z", "iopub.status.idle": "2021-08-07T17:49:40.115793Z", "shell.execute_reply": "2021-08-07T17:49:40.114972Z", "shell.execute_reply.started": "2021-08-07T17:49:40.111321Z" }, "papermill": { "duration": 0.022806, "end_time": "2021-08-07T18:23:43.542341", "exception": false, "start_time": "2021-08-07T18:23:43.519535", "status": "completed" }, "tags": [] }, "source": [ "# Data Science and Business Analytics " ] }, { "cell_type": "markdown", "id": "civic-coffee", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.307384Z", "iopub.status.busy": "2021-08-07T17:49:13.307011Z", "iopub.status.idle": "2021-08-07T17:49:13.320782Z", "shell.execute_reply": "2021-08-07T17:49:13.319606Z", "shell.execute_reply.started": "2021-08-07T17:49:13.307339Z" }, "papermill": { "duration": 0.021928, "end_time": "2021-08-07T18:23:43.586675", "exception": false, "start_time": "2021-08-07T18:23:43.564747", "status": "completed" }, "tags": [] }, "source": [ "# Name - Nitish Kumar Yadav" ] }, { "cell_type": "markdown", "id": "average-bhutan", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.323169Z", "iopub.status.busy": "2021-08-07T17:49:13.322502Z", "iopub.status.idle": "2021-08-07T17:49:13.337133Z", "shell.execute_reply": "2021-08-07T17:49:13.336109Z", "shell.execute_reply.started": "2021-08-07T17:49:13.323064Z" }, "papermill": { "duration": 0.021138, "end_time": "2021-08-07T18:23:43.629705", "exception": false, "start_time": "2021-08-07T18:23:43.608567", "status": "completed" }, "tags": [] }, "source": [ "# Task-To predict student marks taking their study hours as input." ] }, { "cell_type": "markdown", "id": "stock-colleague", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.339146Z", "iopub.status.busy": "2021-08-07T17:49:13.338695Z", "iopub.status.idle": "2021-08-07T17:49:13.351725Z", "shell.execute_reply": "2021-08-07T17:49:13.350933Z", "shell.execute_reply.started": "2021-08-07T17:49:13.339109Z" }, "papermill": { "duration": 0.027906, "end_time": "2021-08-07T18:23:43.682191", "exception": false, "start_time": "2021-08-07T18:23:43.654285", "status": "completed" }, "tags": [] }, "source": [ "# Step 1- Importing Python Library" ] }, { "cell_type": "code", "execution_count": 1, "id": "automotive-albania", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:43.748111Z", "iopub.status.busy": "2021-08-07T18:23:43.747133Z", "iopub.status.idle": "2021-08-07T18:23:43.751922Z", "shell.execute_reply": "2021-08-07T18:23:43.751111Z", "shell.execute_reply.started": "2021-08-07T17:49:13.353528Z" }, "papermill": { "duration": 0.043555, "end_time": "2021-08-07T18:23:43.752126", "exception": false, "start_time": "2021-08-07T18:23:43.708571", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import pandas as pd #used to analyze data \n", "import numpy as np #used to work with array \n", "import matplotlib.pyplot as plt #used to visualize data with 2D-plot of array\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "id": "hundred-webcam", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.380182Z", "iopub.status.busy": "2021-08-07T17:49:13.379579Z", "iopub.status.idle": "2021-08-07T17:49:13.384256Z", "shell.execute_reply": "2021-08-07T17:49:13.383142Z", "shell.execute_reply.started": "2021-08-07T17:49:13.380129Z" }, "papermill": { "duration": 0.02146, "end_time": "2021-08-07T18:23:43.795784", "exception": false, "start_time": "2021-08-07T18:23:43.774324", "status": "completed" }, "tags": [] }, "source": [ "# Step 2- Importing dataset " ] }, { "cell_type": "code", "execution_count": 2, "id": "blessed-rotation", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:43.844566Z", "iopub.status.busy": "2021-08-07T18:23:43.843906Z", "iopub.status.idle": "2021-08-07T18:23:43.863866Z", "shell.execute_reply": "2021-08-07T18:23:43.864344Z", "shell.execute_reply.started": "2021-08-07T17:49:13.389838Z" }, "papermill": { "duration": 0.046856, "end_time": "2021-08-07T18:23:43.864541", "exception": false, "start_time": "2021-08-07T18:23:43.817685", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Imported Data Successfully\n" ] }, { "data": { "text/plain": [ "(25, 2)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data=pd.read_csv(\"../input/tsf-datasets/student_scores.csv\")\n", "print(\"Imported Data Successfully\")\n", "data.shape #to know the data size" ] }, { "cell_type": "markdown", "id": "agreed-animation", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.448377Z", "iopub.status.busy": "2021-08-07T17:49:13.448007Z", "iopub.status.idle": "2021-08-07T17:49:13.452443Z", "shell.execute_reply": "2021-08-07T17:49:13.451362Z", "shell.execute_reply.started": "2021-08-07T17:49:13.448346Z" }, "papermill": { "duration": 0.022159, "end_time": "2021-08-07T18:23:43.910005", "exception": false, "start_time": "2021-08-07T18:23:43.887846", "status": "completed" }, "tags": [] }, "source": [ "# Step 3- Checking data imported(rows and column)" ] }, { "cell_type": "code", "execution_count": 3, "id": "detailed-decision", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:43.964251Z", "iopub.status.busy": "2021-08-07T18:23:43.963608Z", "iopub.status.idle": "2021-08-07T18:23:43.979681Z", "shell.execute_reply": "2021-08-07T18:23:43.979184Z", "shell.execute_reply.started": "2021-08-07T17:49:13.460458Z" }, "papermill": { "duration": 0.04722, "end_time": "2021-08-07T18:23:43.979819", "exception": false, "start_time": "2021-08-07T18:23:43.932599", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Lets print first 5 rows of the data\n" ] }, { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Hours</th>\n", " <th>Scores</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>2.5</td>\n", " <td>21</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>5.1</td>\n", " <td>47</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3.2</td>\n", " <td>27</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>8.5</td>\n", " <td>75</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>3.5</td>\n", " <td>30</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Hours Scores\n", "0 2.5 21\n", "1 5.1 47\n", "2 3.2 27\n", "3 8.5 75\n", "4 3.5 30" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(\"Lets print first 5 rows of the data\")\n", "data.head(5)" ] }, { "cell_type": "code", "execution_count": 4, "id": "retired-israeli", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:44.033004Z", "iopub.status.busy": "2021-08-07T18:23:44.032325Z", "iopub.status.idle": "2021-08-07T18:23:44.036155Z", "shell.execute_reply": "2021-08-07T18:23:44.036736Z", "shell.execute_reply.started": "2021-08-07T17:49:13.500215Z" }, "papermill": { "duration": 0.033795, "end_time": "2021-08-07T18:23:44.036905", "exception": false, "start_time": "2021-08-07T18:23:44.003110", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Data types we have for analysing\n" ] }, { "data": { "text/plain": [ "Hours float64\n", "Scores int64\n", "dtype: object" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(\"Data types we have for analysing\")\n", "data.dtypes" ] }, { "cell_type": "markdown", "id": "historic-reggae", "metadata": { "papermill": { "duration": 0.023406, "end_time": "2021-08-07T18:23:44.083935", "exception": false, "start_time": "2021-08-07T18:23:44.060529", "status": "completed" }, "tags": [] }, "source": [ "#Step 4-Data Cleaning" ] }, { "cell_type": "code", "execution_count": 5, "id": "caroline-symposium", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:44.148858Z", "iopub.status.busy": "2021-08-07T18:23:44.147802Z", "iopub.status.idle": "2021-08-07T18:23:44.167860Z", "shell.execute_reply": "2021-08-07T18:23:44.168317Z", "shell.execute_reply.started": "2021-08-07T17:49:13.541527Z" }, "papermill": { "duration": 0.060949, "end_time": "2021-08-07T18:23:44.168540", "exception": false, "start_time": "2021-08-07T18:23:44.107591", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Hours</th>\n", " <th>Scores</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>25.000000</td>\n", " <td>25.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>5.012000</td>\n", " <td>51.480000</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>2.525094</td>\n", " <td>25.286887</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>1.100000</td>\n", " <td>17.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>2.700000</td>\n", " <td>30.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>4.800000</td>\n", " <td>47.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>7.400000</td>\n", " <td>75.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>9.200000</td>\n", " <td>95.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Hours Scores\n", "count 25.000000 25.000000\n", "mean 5.012000 51.480000\n", "std 2.525094 25.286887\n", "min 1.100000 17.000000\n", "25% 2.700000 30.000000\n", "50% 4.800000 47.000000\n", "75% 7.400000 75.000000\n", "max 9.200000 95.000000" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.describe() #to find deviations in data " ] }, { "cell_type": "code", "execution_count": 6, "id": "meaning-lightning", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:44.221346Z", "iopub.status.busy": "2021-08-07T18:23:44.220438Z", "iopub.status.idle": "2021-08-07T18:23:44.234586Z", "shell.execute_reply": "2021-08-07T18:23:44.235062Z", "shell.execute_reply.started": "2021-08-07T17:49:13.564551Z" }, "papermill": { "duration": 0.041589, "end_time": "2021-08-07T18:23:44.235225", "exception": false, "start_time": "2021-08-07T18:23:44.193636", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Hours</th>\n", " <th>Scores</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>12</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>13</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>14</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>15</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>16</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>17</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>18</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>19</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>20</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>21</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>22</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>23</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " <tr>\n", " <th>24</th>\n", " <td>False</td>\n", " <td>False</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Hours Scores\n", "0 False False\n", "1 False False\n", "2 False False\n", "3 False False\n", "4 False False\n", "5 False False\n", "6 False False\n", "7 False False\n", "8 False False\n", "9 False False\n", "10 False False\n", "11 False False\n", "12 False False\n", "13 False False\n", "14 False False\n", "15 False False\n", "16 False False\n", "17 False False\n", "18 False False\n", "19 False False\n", "20 False False\n", "21 False False\n", "22 False False\n", "23 False False\n", "24 False False" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.isnull() #to check whether we have any null value in data or not." ] }, { "cell_type": "markdown", "id": "indie-yellow", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T17:49:13.581495Z", "iopub.status.busy": "2021-08-07T17:49:13.581201Z", "iopub.status.idle": "2021-08-07T17:49:13.586328Z", "shell.execute_reply": "2021-08-07T17:49:13.585119Z", "shell.execute_reply.started": "2021-08-07T17:49:13.581466Z" }, "papermill": { "duration": 0.024369, "end_time": "2021-08-07T18:23:44.284310", "exception": false, "start_time": "2021-08-07T18:23:44.259941", "status": "completed" }, "tags": [] }, "source": [ "# Step 5-Plot the Graph for detail analysis of Dataset" ] }, { "cell_type": "code", "execution_count": 7, "id": "knowing-former", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:44.337074Z", "iopub.status.busy": "2021-08-07T18:23:44.336381Z", "iopub.status.idle": "2021-08-07T18:23:44.571695Z", "shell.execute_reply": "2021-08-07T18:23:44.572174Z", "shell.execute_reply.started": "2021-08-07T17:49:13.588538Z" }, "papermill": { "duration": 0.263147, "end_time": "2021-08-07T18:23:44.572336", "exception": false, "start_time": "2021-08-07T18:23:44.309189", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "data.plot(x='Hours',y='Scores',style='1') #visualizing using matplotlib\n", "plt.title('Hours vs Percentage')\n", "plt.xlabel('Hours Studied')\n", "plt.ylabel('Percentage Score')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "id": "shared-intake", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:44.633604Z", "iopub.status.busy": "2021-08-07T18:23:44.632606Z", "iopub.status.idle": "2021-08-07T18:23:45.424309Z", "shell.execute_reply": "2021-08-07T18:23:45.424834Z", "shell.execute_reply.started": "2021-08-07T17:49:13.787559Z" }, "papermill": { "duration": 0.827043, "end_time": "2021-08-07T18:23:45.425014", "exception": false, "start_time": "2021-08-07T18:23:44.597971", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:ylabel='Scores'>" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.plot.pie(x='Hours',y='Scores',radius = 3.2,autopct = '%1.1f%%')" ] }, { "cell_type": "code", "execution_count": 9, "id": "incorrect-principle", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:45.490168Z", "iopub.status.busy": "2021-08-07T18:23:45.489156Z", "iopub.status.idle": "2021-08-07T18:23:45.494763Z", "shell.execute_reply": "2021-08-07T18:23:45.495300Z", "shell.execute_reply.started": "2021-08-07T17:49:14.672875Z" }, "papermill": { "duration": 0.03938, "end_time": "2021-08-07T18:23:45.495492", "exception": false, "start_time": "2021-08-07T18:23:45.456112", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "data.sort_values([\"Hours\"], axis=0,ascending=[True],inplace=True) #sorting the values in data" ] }, { "cell_type": "markdown", "id": "adequate-airplane", "metadata": { "papermill": { "duration": 0.029432, "end_time": "2021-08-07T18:23:45.554332", "exception": false, "start_time": "2021-08-07T18:23:45.524900", "status": "completed" }, "tags": [] }, "source": [ "data.plot.bar(x='Hours',y='Scores')" ] }, { "cell_type": "code", "execution_count": 10, "id": "meaningful-hayes", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:45.617940Z", "iopub.status.busy": "2021-08-07T18:23:45.616931Z", "iopub.status.idle": "2021-08-07T18:23:45.620900Z", "shell.execute_reply": "2021-08-07T18:23:45.621498Z", "shell.execute_reply.started": "2021-08-07T17:49:14.679755Z" }, "papermill": { "duration": 0.037478, "end_time": "2021-08-07T18:23:45.621680", "exception": false, "start_time": "2021-08-07T18:23:45.584202", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#After analysing the behaviour from different graph, we observed that as study Hours increases,\n", "#Score will also increase which is a sign of good data.In our daily Life we observe the same Phenomenon." ] }, { "cell_type": "markdown", "id": "final-currency", "metadata": { "papermill": { "duration": 0.034877, "end_time": "2021-08-07T18:23:45.692571", "exception": false, "start_time": "2021-08-07T18:23:45.657694", "status": "completed" }, "tags": [] }, "source": [ "#Step 6-Preparing Data for model" ] }, { "cell_type": "code", "execution_count": 11, "id": "detected-housing", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:45.769079Z", "iopub.status.busy": "2021-08-07T18:23:45.768084Z", "iopub.status.idle": "2021-08-07T18:23:45.773063Z", "shell.execute_reply": "2021-08-07T18:23:45.773544Z", "shell.execute_reply.started": "2021-08-07T17:49:14.694242Z" }, "papermill": { "duration": 0.043263, "end_time": "2021-08-07T18:23:45.773719", "exception": false, "start_time": "2021-08-07T18:23:45.730456", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x = data.iloc[:,:-1].values\n", "y = data.iloc[:,1].values\n", "#print(x)" ] }, { "cell_type": "code", "execution_count": 12, "id": "dramatic-rebecca", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:45.836694Z", "iopub.status.busy": "2021-08-07T18:23:45.835655Z", "iopub.status.idle": "2021-08-07T18:23:46.844122Z", "shell.execute_reply": "2021-08-07T18:23:46.844658Z", "shell.execute_reply.started": "2021-08-07T17:49:14.706868Z" }, "papermill": { "duration": 1.042051, "end_time": "2021-08-07T18:23:46.844849", "exception": false, "start_time": "2021-08-07T18:23:45.802798", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#Step 7-Now divide the data for training and testing the model\n", "from sklearn.model_selection import train_test_split \n", "X_train,X_test,y_train,y_test = train_test_split(x,y,test_size = 0.2 , random_state = 0)" ] }, { "cell_type": "markdown", "id": "configured-image", "metadata": { "papermill": { "duration": 0.029125, "end_time": "2021-08-07T18:23:46.904009", "exception": false, "start_time": "2021-08-07T18:23:46.874884", "status": "completed" }, "tags": [] }, "source": [ "# Training and the algorithm " ] }, { "cell_type": "code", "execution_count": 13, "id": "nervous-metro", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:46.966431Z", "iopub.status.busy": "2021-08-07T18:23:46.965522Z", "iopub.status.idle": "2021-08-07T18:23:47.070405Z", "shell.execute_reply": "2021-08-07T18:23:47.070941Z", "shell.execute_reply.started": "2021-08-07T17:49:14.721496Z" }, "papermill": { "duration": 0.13789, "end_time": "2021-08-07T18:23:47.071137", "exception": false, "start_time": "2021-08-07T18:23:46.933247", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression \n", "regressor = LinearRegression()" ] }, { "cell_type": "code", "execution_count": 14, "id": "processed-composite", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:47.133355Z", "iopub.status.busy": "2021-08-07T18:23:47.132459Z", "iopub.status.idle": "2021-08-07T18:23:47.150025Z", "shell.execute_reply": "2021-08-07T18:23:47.150835Z", "shell.execute_reply.started": "2021-08-07T17:49:14.839455Z" }, "papermill": { "duration": 0.050752, "end_time": "2021-08-07T18:23:47.151101", "exception": false, "start_time": "2021-08-07T18:23:47.100349", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training Complete\n" ] } ], "source": [ "regressor.fit(X_train,y_train)\n", "print(\"Training Complete\")" ] }, { "cell_type": "markdown", "id": "suited-arrival", "metadata": { "papermill": { "duration": 0.029603, "end_time": "2021-08-07T18:23:47.211737", "exception": false, "start_time": "2021-08-07T18:23:47.182134", "status": "completed" }, "tags": [] }, "source": [ "# Step 8-Model is ready , lets test it." ] }, { "cell_type": "code", "execution_count": 15, "id": "atomic-bubble", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:47.279209Z", "iopub.status.busy": "2021-08-07T18:23:47.278578Z", "iopub.status.idle": "2021-08-07T18:23:47.282491Z", "shell.execute_reply": "2021-08-07T18:23:47.281595Z", "shell.execute_reply.started": "2021-08-07T17:49:14.862899Z" }, "papermill": { "duration": 0.041094, "end_time": "2021-08-07T18:23:47.282678", "exception": false, "start_time": "2021-08-07T18:23:47.241584", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[2.7]\n", " [1.9]\n", " [7.7]\n", " [6.1]\n", " [4.5]]\n", "Prediction of Scores\n", "[28.6177145 20.88803334 76.92822173 61.46885942 46.0094971 ]\n" ] } ], "source": [ "print(X_test)\n", "print(\"Prediction of Scores\")\n", "y_pred = regressor.predict(X_test)\n", "print(y_pred)" ] }, { "cell_type": "code", "execution_count": 16, "id": "neutral-confidence", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:47.355961Z", "iopub.status.busy": "2021-08-07T18:23:47.355014Z", "iopub.status.idle": "2021-08-07T18:23:47.359364Z", "shell.execute_reply": "2021-08-07T18:23:47.358851Z", "shell.execute_reply.started": "2021-08-07T17:49:14.879039Z" }, "papermill": { "duration": 0.044282, "end_time": "2021-08-07T18:23:47.359525", "exception": false, "start_time": "2021-08-07T18:23:47.315243", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Actual</th>\n", " <th>Predicted</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>30</td>\n", " <td>28.617714</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>24</td>\n", " <td>20.888033</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>85</td>\n", " <td>76.928222</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>67</td>\n", " <td>61.468859</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>41</td>\n", " <td>46.009497</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Actual Predicted\n", "0 30 28.617714\n", "1 24 20.888033\n", "2 85 76.928222\n", "3 67 61.468859\n", "4 41 46.009497" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Step 9- Checking Accuracy of out model\n", "df = pd.DataFrame({'Actual':y_test,'Predicted':y_pred })\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 17, "id": "latter-robertson", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:47.425292Z", "iopub.status.busy": "2021-08-07T18:23:47.424606Z", "iopub.status.idle": "2021-08-07T18:23:47.427965Z", "shell.execute_reply": "2021-08-07T18:23:47.427318Z", "shell.execute_reply.started": "2021-08-07T17:49:14.898329Z" }, "papermill": { "duration": 0.038305, "end_time": "2021-08-07T18:23:47.428106", "exception": false, "start_time": "2021-08-07T18:23:47.389801", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Now Predict with custom input " ] }, { "cell_type": "code", "execution_count": 18, "id": "composed-favor", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:23:47.495198Z", "iopub.status.busy": "2021-08-07T18:23:47.494524Z", "iopub.status.idle": "2021-08-07T18:23:47.599827Z", "shell.execute_reply": "2021-08-07T18:23:47.598638Z", "shell.execute_reply.started": "2021-08-07T17:49:14.910553Z" }, "papermill": { "duration": 0.140666, "end_time": "2021-08-07T18:23:47.600135", "exception": true, "start_time": "2021-08-07T18:23:47.459469", "status": "failed" }, "tags": [] }, "outputs": [ { "ename": "StdinNotImplementedError", "evalue": "raw_input was called, but this frontend does not support input requests.", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mStdinNotImplementedError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m<ipython-input-18-6ddd0b58d53f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Enter number of hour you study: \"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mhours\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mregressor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhours\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[0;34m(self, prompt)\u001b[0m\n\u001b[1;32m 844\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_allow_stdin\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 845\u001b[0m raise StdinNotImplementedError(\n\u001b[0;32m--> 846\u001b[0;31m \u001b[0;34m\"raw_input was called, but this frontend does not support input requests.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 847\u001b[0m )\n\u001b[1;32m 848\u001b[0m return self._input_request(str(prompt),\n", "\u001b[0;31mStdinNotImplementedError\u001b[0m: raw_input was called, but this frontend does not support input requests." ] } ], "source": [ "a = input(\"Enter number of hour you study: \")\n", "b = np.array(a, dtype=float)\n", "hours = [[b]]\n", "pred = regressor.predict(hours)\n", "print(pred)" ] }, { "cell_type": "markdown", "id": "personal-fighter", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "source": [ "#Evaluating the model\n", "from sklearn import metrics\n", "print('Mean Absolute Error:',metrics.mean_absolute_error(y_test,y_pred))" ] }, { "cell_type": "markdown", "id": "personal-fraud", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "source": [ "# Learning\n", "* To get passing marks we have study atleast 3 hours daily.\n", "* To get marks above 50 we have to study atleast 5 hours daily.\n", "* To get marks above 90 we have to study atleast 8-9 hous daily.\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 12.705233, "end_time": "2021-08-07T18:23:48.340525", "environment_variables": {}, "exception": true, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:23:35.635292", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/595/70595649.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "8b3a4959", "metadata": { "papermill": { "duration": 0.015038, "end_time": "2021-08-07T18:28:58.830011", "exception": false, "start_time": "2021-08-07T18:28:58.814973", "status": "completed" }, "tags": [] }, "source": [ "# Introduction\n", "\n", "We analyze the data about access to education for European people. \n", "We load also the ISO country codes data, as auxiliary data. \n", "Use of Sankey diagrams allows us to show in a single graph the distribution of access to education level per type of disability, age, sex and countries." ] }, { "cell_type": "markdown", "id": "70e0dce3", "metadata": { "papermill": { "duration": 0.014888, "end_time": "2021-08-07T18:28:58.859606", "exception": false, "start_time": "2021-08-07T18:28:58.844718", "status": "completed" }, "tags": [] }, "source": [ "# Analysis preparation\n", "\n", "## Load packages" ] }, { "cell_type": "code", "execution_count": 1, "id": "abc8cb43", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:28:58.891020Z", "iopub.status.busy": "2021-08-07T18:28:58.889932Z", "iopub.status.idle": "2021-08-07T18:28:58.899455Z", "shell.execute_reply": "2021-08-07T18:28:58.899991Z", "shell.execute_reply.started": "2021-08-07T18:13:28.916543Z" }, "papermill": { "duration": 0.026973, "end_time": "2021-08-07T18:28:58.900305", "exception": false, "start_time": "2021-08-07T18:28:58.873332", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import pandas as pd\n", "import os" ] }, { "cell_type": "markdown", "id": "ea0c6cee", "metadata": { "papermill": { "duration": 0.018724, "end_time": "2021-08-07T18:28:58.937019", "exception": false, "start_time": "2021-08-07T18:28:58.918295", "status": "completed" }, "tags": [] }, "source": [ "## Load data" ] }, { "cell_type": "code", "execution_count": 2, "id": "cabfc068", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:28:58.970548Z", "iopub.status.busy": "2021-08-07T18:28:58.969844Z", "iopub.status.idle": "2021-08-07T18:28:59.723365Z", "shell.execute_reply": "2021-08-07T18:28:59.722773Z", "shell.execute_reply.started": "2021-08-07T18:14:04.229001Z" }, "papermill": { "duration": 0.771067, "end_time": "2021-08-07T18:28:59.723519", "exception": false, "start_time": "2021-08-07T18:28:58.952452", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "data_df = pd.read_csv(\"/kaggle/input/population-by-education-level-in-europe/population_by_education_level.csv\")" ] }, { "cell_type": "markdown", "id": "9444d85a", "metadata": { "papermill": { "duration": 0.013288, "end_time": "2021-08-07T18:28:59.750698", "exception": false, "start_time": "2021-08-07T18:28:59.737410", "status": "completed" }, "tags": [] }, "source": [ "# Data exploration\n", "\n", "## Glimpse the data" ] }, { "cell_type": "code", "execution_count": 3, "id": "9410aa38", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:28:59.791560Z", "iopub.status.busy": "2021-08-07T18:28:59.790898Z", "iopub.status.idle": "2021-08-07T18:29:00.107754Z", "shell.execute_reply": "2021-08-07T18:29:00.108212Z", "shell.execute_reply.started": "2021-08-07T18:14:09.635042Z" }, "papermill": { "duration": 0.343967, "end_time": "2021-08-07T18:29:00.108433", "exception": false, "start_time": "2021-08-07T18:28:59.764466", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 609976 entries, 0 to 609975\n", "Data columns (total 7 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 unit 609976 non-null object \n", " 1 sex 609976 non-null object \n", " 2 age 609976 non-null object \n", " 3 isced11 609976 non-null object \n", " 4 geography 609976 non-null object \n", " 5 date 609976 non-null int64 \n", " 6 value 361370 non-null float64\n", "dtypes: float64(1), int64(1), object(5)\n", "memory usage: 32.6+ MB\n" ] } ], "source": [ "data_df.info()" ] }, { "cell_type": "code", "execution_count": 4, "id": "0750d325", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:00.144621Z", "iopub.status.busy": "2021-08-07T18:29:00.143641Z", "iopub.status.idle": "2021-08-07T18:29:00.161673Z", "shell.execute_reply": "2021-08-07T18:29:00.162178Z", "shell.execute_reply.started": "2021-08-07T18:14:21.184474Z" }, "papermill": { "duration": 0.038929, "end_time": "2021-08-07T18:29:00.162364", "exception": false, "start_time": "2021-08-07T18:29:00.123435", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>unit</th>\n", " <th>sex</th>\n", " <th>age</th>\n", " <th>isced11</th>\n", " <th>geography</th>\n", " <th>date</th>\n", " <th>value</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>AT</td>\n", " <td>2020</td>\n", " <td>149.8</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>BE</td>\n", " <td>2020</td>\n", " <td>247.9</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>BG</td>\n", " <td>2020</td>\n", " <td>128.4</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>CH</td>\n", " <td>2020</td>\n", " <td>168.2</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>CY</td>\n", " <td>2020</td>\n", " <td>16.8</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " unit sex age isced11 geography date value\n", "0 THS F Y15-19 ED0-2 AT 2020 149.8\n", "1 THS F Y15-19 ED0-2 BE 2020 247.9\n", "2 THS F Y15-19 ED0-2 BG 2020 128.4\n", "3 THS F Y15-19 ED0-2 CH 2020 168.2\n", "4 THS F Y15-19 ED0-2 CY 2020 16.8" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_df.head()" ] }, { "cell_type": "markdown", "id": "2f654c32", "metadata": { "papermill": { "duration": 0.017867, "end_time": "2021-08-07T18:29:00.194838", "exception": false, "start_time": "2021-08-07T18:29:00.176971", "status": "completed" }, "tags": [] }, "source": [ "## Sankey diagram\n" ] }, { "cell_type": "markdown", "id": "5c985c74", "metadata": { "papermill": { "duration": 0.015283, "end_time": "2021-08-07T18:29:00.228604", "exception": false, "start_time": "2021-08-07T18:29:00.213321", "status": "completed" }, "tags": [] }, "source": [ "### Visualization function using Sankey diagram" ] }, { "cell_type": "code", "execution_count": 5, "id": "0f609aa4", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:00.279414Z", "iopub.status.busy": "2021-08-07T18:29:00.274617Z", "iopub.status.idle": "2021-08-07T18:29:03.873099Z", "shell.execute_reply": "2021-08-07T18:29:03.872554Z", "shell.execute_reply.started": "2021-08-07T18:14:35.302820Z" }, "papermill": { "duration": 3.625082, "end_time": "2021-08-07T18:29:03.873247", "exception": false, "start_time": "2021-08-07T18:29:00.248165", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import plotly.graph_objs as go\n", "import plotly.figure_factory as ff\n", "from plotly import tools\n", "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n", "\n", "def genSankey(df,cat_cols=[],value_cols='',title='Sankey Diagram',param={\"height\":1000}):\n", " # maximum of 6 value cols -> 6 colors\n", " colorPalette = ['#4B8BBE', '#AF2346','#32CD32','#8B008B','#FFD43B','#646464']\n", " labelList = []\n", " colorNumList = []\n", " for catCol in cat_cols:\n", " labelListTemp = list(set(df[catCol].values))\n", " colorNumList.append(len(labelListTemp))\n", " labelList = labelList + labelListTemp\n", " \n", " # remove duplicates from labelList\n", " labelList = list(dict.fromkeys(labelList))\n", " \n", " # define colors based on number of levels\n", " colorList = []\n", " for idx, colorNum in enumerate(colorNumList):\n", " colorList = colorList + [colorPalette[idx]]*colorNum\n", " \n", " # transform df into a source-target pair\n", " for i in range(len(cat_cols)-1):\n", " if i==0:\n", " sourceTargetDf = df[[cat_cols[i],cat_cols[i+1],value_cols]]\n", " sourceTargetDf.columns = ['source','target','count']\n", " else:\n", " tempDf = df[[cat_cols[i],cat_cols[i+1],value_cols]]\n", " tempDf.columns = ['source','target','count']\n", " sourceTargetDf = pd.concat([sourceTargetDf,tempDf])\n", " sourceTargetDf = sourceTargetDf.groupby(['source','target']).agg({'count':'sum'}).reset_index()\n", " \n", " # add index for source-target pair\n", " sourceTargetDf['sourceID'] = sourceTargetDf['source'].apply(lambda x: labelList.index(x))\n", " sourceTargetDf['targetID'] = sourceTargetDf['target'].apply(lambda x: labelList.index(x))\n", " \n", " # creating the sankey diagram\n", " data = dict(\n", " type='sankey',\n", " node = dict(\n", " pad = 15,\n", " thickness = 20,\n", " line = dict(\n", " color = \"black\",\n", " width = 0.25\n", " ),\n", " label = labelList,\n", " color = colorList\n", " ),\n", " link = dict(\n", " source = sourceTargetDf['sourceID'],\n", " target = sourceTargetDf['targetID'],\n", " value = sourceTargetDf['count'],\n", " )\n", " )\n", " \n", " layout = dict(\n", " title = title,\n", " font = dict(\n", " size = 10\n", " ),\n", " height=param[\"height\"]\n", " )\n", " \n", " fig = dict(data=[data], layout=layout)\n", " return fig" ] }, { "cell_type": "code", "execution_count": 6, "id": "9e56892c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:03.918062Z", "iopub.status.busy": "2021-08-07T18:29:03.917396Z", "iopub.status.idle": "2021-08-07T18:29:03.921955Z", "shell.execute_reply": "2021-08-07T18:29:03.921340Z", "shell.execute_reply.started": "2021-08-07T18:14:57.356204Z" }, "papermill": { "duration": 0.033648, "end_time": "2021-08-07T18:29:03.922105", "exception": false, "start_time": "2021-08-07T18:29:03.888457", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>unit</th>\n", " <th>sex</th>\n", " <th>age</th>\n", " <th>isced11</th>\n", " <th>geography</th>\n", " <th>date</th>\n", " <th>value</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>AT</td>\n", " <td>2020</td>\n", " <td>149.8</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>BE</td>\n", " <td>2020</td>\n", " <td>247.9</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>BG</td>\n", " <td>2020</td>\n", " <td>128.4</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>CH</td>\n", " <td>2020</td>\n", " <td>168.2</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>THS</td>\n", " <td>F</td>\n", " <td>Y15-19</td>\n", " <td>ED0-2</td>\n", " <td>CY</td>\n", " <td>2020</td>\n", " <td>16.8</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " unit sex age isced11 geography date value\n", "0 THS F Y15-19 ED0-2 AT 2020 149.8\n", "1 THS F Y15-19 ED0-2 BE 2020 247.9\n", "2 THS F Y15-19 ED0-2 BG 2020 128.4\n", "3 THS F Y15-19 ED0-2 CH 2020 168.2\n", "4 THS F Y15-19 ED0-2 CY 2020 16.8" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_df.head()" ] }, { "cell_type": "code", "execution_count": 7, "id": "2bc264aa", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:03.995845Z", "iopub.status.busy": "2021-08-07T18:29:03.967051Z", "iopub.status.idle": "2021-08-07T18:29:04.173640Z", "shell.execute_reply": "2021-08-07T18:29:04.173080Z", "shell.execute_reply.started": "2021-08-07T18:20:57.436275Z" }, "papermill": { "duration": 0.236599, "end_time": "2021-08-07T18:29:04.173786", "exception": false, "start_time": "2021-08-07T18:29:03.937187", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "All combinations: 5360\n" ] }, { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>isced11</th>\n", " <th>age</th>\n", " <th>geography</th>\n", " <th>value</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>4436</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>EU15</td>\n", " <td>14587029.8</td>\n", " </tr>\n", " <tr>\n", " <th>4438</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>EU28</td>\n", " <td>13574374.1</td>\n", " </tr>\n", " <tr>\n", " <th>4397</th>\n", " <td>TOTAL</td>\n", " <td>Y15-64</td>\n", " <td>EU15</td>\n", " <td>12731293.8</td>\n", " </tr>\n", " <tr>\n", " <th>4437</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>EU27_2020</td>\n", " <td>12581134.6</td>\n", " </tr>\n", " <tr>\n", " <th>4787</th>\n", " <td>TOTAL</td>\n", " <td>Y25-74</td>\n", " <td>EU15</td>\n", " <td>12334884.1</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " isced11 age geography value\n", "4436 TOTAL Y15-74 EU15 14587029.8\n", "4438 TOTAL Y15-74 EU28 13574374.1\n", "4397 TOTAL Y15-64 EU15 12731293.8\n", "4437 TOTAL Y15-74 EU27_2020 12581134.6\n", "4787 TOTAL Y25-74 EU15 12334884.1" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "agg_df = data_df.groupby(['isced11', 'age', 'geography'])['value'].sum().reset_index()\n", "agg_df.sort_values([\"value\"], inplace=True, ascending=False)\n", "print(f\"All combinations: {agg_df.shape[0]}\")\n", "agg_df.head(5)" ] }, { "cell_type": "markdown", "id": "15ebe6f9", "metadata": { "papermill": { "duration": 0.015736, "end_time": "2021-08-07T18:29:04.205497", "exception": false, "start_time": "2021-08-07T18:29:04.189761", "status": "completed" }, "tags": [] }, "source": [ "Let's remove TOTAL as well as aggregated EU countries groups." ] }, { "cell_type": "code", "execution_count": 8, "id": "0e4dbae1", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:04.245144Z", "iopub.status.busy": "2021-08-07T18:29:04.244047Z", "iopub.status.idle": "2021-08-07T18:29:04.250965Z", "shell.execute_reply": "2021-08-07T18:29:04.251469Z", "shell.execute_reply.started": "2021-08-07T18:21:00.530401Z" }, "papermill": { "duration": 0.030094, "end_time": "2021-08-07T18:29:04.251638", "exception": false, "start_time": "2021-08-07T18:29:04.221544", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "data_agg = agg_df.loc[agg_df.isced11 != \"TOTAL\"]\n", "data_agg = data_agg.loc[data_agg.age != \"TOTAL\"]\n", "data_agg = data_agg.loc[~data_agg.geography.isin([\"EU15\", \"EU28\", \"EA19\", \"EU27_2020\"])]" ] }, { "cell_type": "code", "execution_count": 9, "id": "4fa439c2", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:04.296039Z", "iopub.status.busy": "2021-08-07T18:29:04.295398Z", "iopub.status.idle": "2021-08-07T18:29:04.332631Z", "shell.execute_reply": "2021-08-07T18:29:04.333150Z", "shell.execute_reply.started": "2021-08-07T18:21:04.337743Z" }, "papermill": { "duration": 0.065432, "end_time": "2021-08-07T18:29:04.333366", "exception": false, "start_time": "2021-08-07T18:29:04.267934", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ " <script type=\"text/javascript\">\n", " window.PlotlyConfig = {MathJaxConfig: 'local'};\n", " if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n", " if (typeof require !== 'undefined') {\n", " require.undef(\"plotly\");\n", " requirejs.config({\n", " paths: {\n", " 'plotly': ['https://cdn.plot.ly/plotly-2.2.0.min']\n", " }\n", " });\n", " require(['plotly'], function(Plotly) {\n", " window._Plotly = Plotly;\n", " });\n", " }\n", " </script>\n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<div> <div id=\"66173a67-134f-47c0-b8a2-b37519166801\" class=\"plotly-graph-div\" style=\"height:1000px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"66173a67-134f-47c0-b8a2-b37519166801\")) { Plotly.newPlot( \"66173a67-134f-47c0-b8a2-b37519166801\", [{\"link\":{\"source\":[32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,26,26,26,26,4,4,4,4,12,12,12,12,2,2,2,2,10,10,10,10,18,18,18,18,23,23,23,23,9,9,9,9,14,14,14,14,17,17,17,17,0,0,0,0,21,21,21,21,16,16,16,16,15,15,15,15,11,11,11,11,1,1,1,1,20,20,20,20,13,13,13,13,27,27,27,27,24,24,24,24,5,5,5,5,6,6,6,6,25,25,25,25,19,19,19,19,3,3,3,3,7,7,7,7,22,22,22,22,8,8,8,8,28,28,28,28],\"target\":[39,42,62,40,55,36,63,44,64,54,45,67,41,33,38,49,66,43,46,56,51,61,37,60,34,47,57,53,35,50,58,59,65,52,48,39,42,62,40,55,36,63,44,64,54,45,67,41,33,38,49,66,43,46,56,51,61,37,60,34,47,57,53,35,50,58,59,65,52,48,39,42,62,40,55,36,63,44,64,54,45,67,41,33,38,49,66,43,46,56,51,61,37,60,34,47,57,53,35,50,58,59,65,52,48,39,42,40,36,63,44,64,54,45,67,41,33,38,49,66,43,46,56,51,60,34,47,53,35,58,59,52,48,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29,32,30,31,29],\"value\":[778213.3999999998,1721920.5,647634.0,563803.2000000003,78935.50000000003,499994.99999999994,6861865.899999999,612600.6,82300.50000000001,2074664.0999999994,10610947.6,508692.0999999999,8553379.599999998,303285.4999999999,962616.0,595733.3999999999,35522.500000000015,13721994.100000003,175161.4999999999,75443.90000000001,139987.0,17423.9,181079.79999999996,88709.99999999999,1978978.9000000001,372702.80000000005,2555439.9999999995,3223746.6,2437894.5000000005,296159.0,806099.1000000001,176392.29999999996,307234.80000000005,11265009.100000001,7161304.9,1982405.1999999997,1648228.4000000001,1299071.9999999998,1570341.0999999999,100494.60000000002,2763281.1000000006,19944135.599999998,1110498.0999999999,257007.80000000002,1786449.4999999998,3998483.699999999,926345.7999999999,10463338.099999998,728968.3,2133586.0000000005,604324.9,33667.700000000004,9682291.999999996,610277.4,75689.4,446577.6000000001,59159.30000000001,237942.09999999992,30751.699999999997,2588564.9,836913.1,8949000.5,771974.6000000002,4551569.6,691027.5,1692168.7,470720.6000000001,1389208.0,3092201.3,8938881.2,633562.7,1364501.8999999997,536992.7000000002,909354.1000000001,88275.29999999997,594622.8,8093672.9,677330.1999999996,159845.4,949125.8000000002,5101755.000000001,677832.4999999998,6371079.799999999,219779.80000000002,653990.6000000001,539367.2,29585.59999999999,3095902.7,336457.5,58235.5,173251.89999999994,20587.9,80741.60000000003,22801.499999999996,1755057.4,605214.5000000002,2630371.4000000004,640927.9999999999,943205.1,233857.4,1094774.7,169130.70000000004,309186.4000000001,2352883.8,7057791.400000002,0.0,1350718.9000000004,7460.499999999998,164475.70000000004,11435038.799999999,728350.4000000001,369.6000000000001,1321582.3000000005,3484383.4,3156.3,8048159.0,875.4,156482.0,512291.0999999999,16367.100000000002,7955184.7,0.0,64891.3,79.6,0.0,2579505.8999999994,78121.9,906576.0000000003,0.0,47658.2,1209.5000000000002,0.0,10108229.700000001,1321979.8999999994,354514.6,5847.799999999998,539571.8999999999,1774559.2000000002,1496869.3999999994,259201.29999999996,1003430.2999999997,3426757.5000000005,4323459.9,2047714.5000000005,2349759.8999999994,6272435.999999999,7720004.1000000015,3771862.5999999996,3895327.2,7022670.2,8305231.199999998,4032629.0999999996,4273068.599999999,8422424.8,9062105.200000001,4352114.600000001,4995724.900000002,452572.3,1142347.2999999998,252605.5,463435.6999999999,5700691.200000003,7950707.099999999,4026036.200000001,3733066.1999999993,486421.6999999999,948002.6000000001,586584.8,461542.6,1652192.9000000001,2826586.4,1788400.7999999998,1345871.6,3016299.799999999,4676117.2,2780882.2,2144942.5,3747116.000000001,5505348.3,3181183.8000000007,2524463.3999999994,4497876.599999999,6223134.699999999,3512549.2,2891496.0999999996,5248107.199999999,6808359.699999998,3773316.299999999,3269237.400000001,6647861.199999998,7565236.599999999,4092800.3000000007,3991931.8999999994,556644.8,936830.5000000002,617917.8,445771.4,608911.3000000003,941750.8,583854.4999999999,437746.99999999994,660021.3999999998,943267.4000000001,529178.7999999999,410184.2,2845680.8000000003,3396548.3000000003,1724149.0999999999,1545254.0999999996,3595914.9999999995,3981770.8000000007,1984916.9000000006,1922996.5999999999,703878.7000000003,906252.9999999998,463279.29999999993,388067.70000000007,730791.7999999998,829226.2999999998,400282.1000000002,379140.99999999994,1481571.1,1547010.0,731663.6999999998,746219.5000000003,2231805.3000000007,2132236.8999999994,992432.2000000001,1123970.3000000003,3631559.1999999997,2889114.6,1311917.4000000001,1846696.2999999998,750757.5000000001,717755.8000000003,331319.3,366613.0999999999,1500990.9000000001,1302999.3999999994,592120.9,744479.9000000003,750231.3,585182.2999999998,260722.0,377287.39999999997,734145.9999999999,447577.0,193570.7,353868.6]},\"node\":{\"color\":[\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\"],\"label\":[\"Y25-49\",\"Y30-34\",\"Y15-59\",\"Y50-74\",\"Y15-24\",\"Y45-49\",\"Y50-54\",\"Y55-59\",\"Y60-64\",\"Y20-64\",\"Y15-64\",\"Y25-74\",\"Y15-39\",\"Y40-44\",\"Y25-29\",\"Y25-64\",\"Y25-59\",\"Y25-39\",\"Y15-74\",\"Y50-64\",\"Y35-39\",\"Y25-54\",\"Y55-64\",\"Y20-24\",\"Y40-64\",\"Y50-59\",\"Y15-19\",\"Y40-59\",\"Y65-69\",\"NRP\",\"ED3_4\",\"ED5-8\",\"ED0-2\",\"HR\",\"NL\",\"RO\",\"CZ\",\"MK\",\"HU\",\"AT\",\"CH\",\"FR\",\"BE\",\"IT\",\"DK\",\"ES\",\"LT\",\"NO\",\"UK\",\"IE\",\"RS\",\"LV\",\"TR\",\"PT\",\"EL\",\"CY\",\"LU\",\"PL\",\"SE\",\"SI\",\"MT\",\"ME\",\"BG\",\"DE\",\"EE\",\"SK\",\"IS\",\"FI\"],\"line\":{\"color\":\"black\",\"width\":0.25},\"pad\":15,\"thickness\":20},\"type\":\"sankey\"}], {\"font\":{\"size\":10},\"height\":1000,\"title\":\"Access to education of European people: {Age Group -> Education Level -> Country}\"}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('66173a67-134f-47c0-b8a2-b37519166801');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = genSankey(data_agg,cat_cols=['age', 'isced11', 'geography'],\\\n", " value_cols='value',\n", " title='Access to education of European people: {Age Group -> Education Level -> Country}')\n", "iplot(fig, validate=False)" ] }, { "cell_type": "markdown", "id": "f75262b9", "metadata": { "papermill": { "duration": 0.017521, "end_time": "2021-08-07T18:29:04.368634", "exception": false, "start_time": "2021-08-07T18:29:04.351113", "status": "completed" }, "tags": [] }, "source": [ "Let's include also time in the diagram." ] }, { "cell_type": "code", "execution_count": 10, "id": "014718df", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:04.419632Z", "iopub.status.busy": "2021-08-07T18:29:04.418920Z", "iopub.status.idle": "2021-08-07T18:29:04.842825Z", "shell.execute_reply": "2021-08-07T18:29:04.842134Z", "shell.execute_reply.started": "2021-08-07T18:25:11.178806Z" }, "papermill": { "duration": 0.456875, "end_time": "2021-08-07T18:29:04.842980", "exception": false, "start_time": "2021-08-07T18:29:04.386105", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "All combinations: 203680\n" ] }, { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>isced11</th>\n", " <th>age</th>\n", " <th>date</th>\n", " <th>geography</th>\n", " <th>value</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>169530</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>2019</td>\n", " <td>EU28</td>\n", " <td>761186.7</td>\n", " </tr>\n", " <tr>\n", " <th>169491</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>2018</td>\n", " <td>EU28</td>\n", " <td>760615.7</td>\n", " </tr>\n", " <tr>\n", " <th>169452</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>2017</td>\n", " <td>EU28</td>\n", " <td>760263.8</td>\n", " </tr>\n", " <tr>\n", " <th>169413</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>2016</td>\n", " <td>EU28</td>\n", " <td>759780.4</td>\n", " </tr>\n", " <tr>\n", " <th>169140</th>\n", " <td>TOTAL</td>\n", " <td>Y15-74</td>\n", " <td>2009</td>\n", " <td>EU28</td>\n", " <td>759687.7</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " isced11 age date geography value\n", "169530 TOTAL Y15-74 2019 EU28 761186.7\n", "169491 TOTAL Y15-74 2018 EU28 760615.7\n", "169452 TOTAL Y15-74 2017 EU28 760263.8\n", "169413 TOTAL Y15-74 2016 EU28 759780.4\n", "169140 TOTAL Y15-74 2009 EU28 759687.7" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "agg_df = data_df.groupby(['isced11', 'age', 'date', 'geography'])['value'].sum().reset_index()\n", "agg_df.sort_values([\"value\"], inplace=True, ascending=False)\n", "data_agg = agg_df.loc[agg_df.isced11 != \"TOTAL\"]\n", "data_agg = data_agg.loc[data_agg.age != \"TOTAL\"]\n", "data_agg = data_agg.loc[~data_agg.geography.isin([\"EU15\", \"EU28\", \"EA19\", \"EU27_2020\"])]\n", "print(f\"All combinations: {agg_df.shape[0]}\")\n", "agg_df.head(5)" ] }, { "cell_type": "code", "execution_count": 11, "id": "0b674f8d", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T18:29:04.943356Z", "iopub.status.busy": "2021-08-07T18:29:04.899283Z", "iopub.status.idle": "2021-08-07T18:29:05.080829Z", "shell.execute_reply": "2021-08-07T18:29:05.081390Z", "shell.execute_reply.started": "2021-08-07T18:28:01.320006Z" }, "papermill": { "duration": 0.220077, "end_time": "2021-08-07T18:29:05.081567", "exception": false, "start_time": "2021-08-07T18:29:04.861490", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"d697a060-a8d7-494a-ae28-42605dd5e59b\" class=\"plotly-graph-div\" style=\"height:1000px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"d697a060-a8d7-494a-ae28-42605dd5e59b\")) { Plotly.newPlot( \"d697a060-a8d7-494a-ae28-42605dd5e59b\", [{\"link\":{\"source\":[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,67,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,66,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,33,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,27,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,17,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,61,61,61,61,39,39,39,39,47,47,47,47,37,37,37,37,46,46,46,46,53,53,53,53,58,58,58,58,44,44,44,44,49,49,49,49,52,52,52,52,35,35,35,35,56,56,56,56,51,51,51,51,50,50,50,50,45,45,45,45,36,36,36,36,55,55,55,55,48,48,48,48,62,62,62,62,59,59,59,59,40,40,40,40,41,41,41,41,60,60,60,60,54,54,54,54,38,38,38,38,42,42,42,42,57,57,57,57,43,43,43,43,63,63,63,63],\"target\":[61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,61,39,47,37,46,53,58,44,49,52,35,56,51,50,45,36,55,48,62,59,40,41,60,54,38,42,57,43,63,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64,67,65,66,64],\"value\":[23715.3,49650.29999999999,143434.79999999996,264888.2,288392.29999999993,327498.0999999999,25913.99999999999,264655.0,29537.40000000001,93772.09999999996,158006.29999999993,187998.09999999992,215225.29999999996,238729.29999999996,277836.1999999999,31710.90000000001,32524.600000000002,32354.79999999999,121452.20000000003,144957.10000000003,31881.199999999997,29990.600000000002,57217.60000000001,80722.40000000001,119827.79999999999,27226.300000000007,50731.50000000002,23500.799999999996,20830.8,48927.49999999999,100980.90000000004,269969.0999999999,478951.29999999993,522969.6999999999,594229.1000000002,52008.399999999994,473997.4,55369.59999999998,168987.99999999994,278265.4,329691.6,377970.4000000002,421988.9000000001,493247.6,56738.5,56878.9,55513.00000000004,208982.9,253000.09999999998,53763.40000000001,51427.70000000001,99704.79999999996,143723.29999999996,214984.50000000003,48277.500000000015,92296.7,44018.499999999985,38504.999999999985,18189.100000000006,36957.29999999999,101000.0,189715.89999999997,209929.19999999987,244712.30000000005,18765.000000000007,191737.40000000002,20075.60000000001,64040.89999999998,110286.7,131569.79999999996,152757.40000000005,172970.49999999997,207753.59999999998,21466.6,22498.899999999994,22948.0,88715.79999999999,108930.09999999999,23297.5,21282.199999999993,42470.69999999999,62683.9,97465.90000000004,21188.70000000001,41401.30000000001,20212.800000000007,18675.6,21366.8,44102.29999999998,127464.59999999995,238161.3,259327.60000000006,293291.5,22680.900000000005,237900.90000000014,25096.799999999996,83301.90000000002,142007.90000000002,169424.29999999987,194007.89999999997,215175.00000000003,249139.39999999997,28336.69999999999,29794.099999999988,29553.9,110657.40000000004,131829.9,29068.39999999998,27396.499999999993,51960.50000000001,73117.50000000001,107088.60000000005,24554.700000000004,45710.59999999999,21129.299999999992,18311.700000000004,2009.3999999999994,4190.600000000001,12251.000000000004,21252.199999999993,23030.0,25691.699999999993,2179.8000000000006,21018.1,2798.2,8059.300000000004,12839.3,15062.199999999999,17060.3,18839.100000000002,21499.500000000007,2695.1000000000004,2566.5000000000005,2438.900000000001,9001.799999999997,10778.9,2340.8,2222.899999999999,4221.6,5999.0999999999985,8660.400000000003,1999.4000000000005,3776.600000000001,1777.2999999999995,1445.4000000000005,28415.69999999999,61558.99999999999,172990.89999999985,312762.1,342750.89999999985,390655.2999999999,33134.00000000001,314324.99999999994,36745.5,111424.10000000003,183274.00000000012,218168.5,251195.60000000015,281184.9999999999,329089.8999999999,37522.0,37149.8,36540.99999999998,139762.60000000003,169750.70000000007,35297.79999999998,34887.8,67912.8,97899.30000000002,145799.99999999997,33019.9,63006.399999999994,29982.5,26166.499999999985,331153.0999999999,684255.7000000001,1891135.7000000011,3563432.9999999986,3922278.7000000007,4517575.400000004,352893.9999999999,3590883.7,389312.1999999999,1206765.3,2060201.1999999995,2482639.3000000007,2879095.6999999997,3237943.7000000007,3833242.4000000022,406106.79999999993,411154.6000000002,424913.89999999985,1672284.5000000007,2031127.3000000003,428367.5,422370.4,818865.2999999996,1177691.1999999995,1773028.9999999998,396364.70000000007,755266.9999999999,358729.5999999999,315632.30000000005,25655.8,52402.50000000003,137325.59999999995,246387.3999999999,268757.00000000006,306698.5,26694.199999999983,243039.8,27835.599999999995,84895.60000000002,142747.69999999995,169568.49999999994,193943.4000000001,216307.60000000012,254256.99999999997,27997.800000000003,29044.60000000001,29216.299999999985,109020.30000000006,131384.30000000005,28595.699999999983,26805.10000000001,51184.19999999996,73541.20000000001,111484.70000000001,24349.099999999995,46722.199999999975,22336.199999999986,20581.399999999994,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2062789.8999999985,2432445.300000001,2359448.4000000046,2458102.099999999,2622572.8000000017,2922717.7000000016,2232644.799999999,2753981.099999998,2744678.2000000007,2779082.400000004,2757047.8000000045,2703089.3999999976,2640392.8000000017,2596932.900000009,3293092.0000000037,3249360.1999999993,3225639.8999999953,3187497.6000000034,3155031.1000000006,3086093.000000006,3021220.5000000037,2948326.8000000035,2922186.4000000027,2867362.4999999977,2828532.599999992,2786803.7000000007,2734939.9000000064,2672855.600000002,2428004.199999995,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1394626.5000000012,1715550.900000002,1775640.6999999993,2001212.4999999995,2201923.499999997,2855337.2000000007,2140615.5000000005,3152362.2999999993,3259423.799999998,3321637.9000000046,3418047.9999999986,3430782.5999999978,3513160.4999999995,3607480.1999999955,3830567.2000000062,3868730.9999999944,3906306.0000000047,3903604.7000000025,3941055.199999998,3939922.2,3950837.1999999993,3961928.600000003,3985333.9999999995,3980608.700000002,3978835.4999999977,3972391.000000009,3959630.6000000006,3947048.4000000004,3550944.999999994,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,558480.4999999995,724125.8000000012,753815.8000000012,856356.2000000008,963314.8999999991,1135084.5000000014,736532.8000000003,1244145.9999999998,1310247.3000000014,1341410.2000000004,1381466.3999999997,1447429.700000003,1529248.700000001,1603794.599999999,1738986.3999999985,1796659.100000001,1876667.4,1956814.999999999,2032902.7000000004,2109216.900000003,2199580.400000006,2275710.9,2351618.099999998,2428897.800000002,2501355.6000000043,2563975.900000001,2634346.299999998,2720316.9999999977,2408550.8000000054,3943.9,8124.399999999998,21719.899999999998,38974.10000000001,42762.499999999985,49039.2,4177.700000000001,38818.299999999996,4550.6,13579.499999999995,22542.2,26803.8,30833.699999999993,34622.20000000002,40898.40000000002,4493.0999999999985,4455.499999999999,4468.900000000001,17254.1,21042.999999999985,4440.299999999999,4257.000000000001,8290.099999999999,12080.000000000002,18355.900000000005,4029.0000000000005,7817.8,3788.7999999999997,3359.3999999999987,49850.30000000001,97550.70000000004,263043.7000000001,475967.3000000001,523403.0000000001,602495.4999999999,47690.9,473545.4,52846.200000000004,165494.30000000002,276431.10000000003,329427.80000000005,378417.80000000005,425854.39999999985,504946.4999999998,56361.00000000001,56287.4,57375.29999999997,212923.49999999997,260359.0000000001,53560.299999999996,52998.79999999999,101987.40000000001,149423.70000000007,228515.89999999997,48989.19999999998,96425.49999999997,47436.50000000002,42213.30000000001,185346.90000000002,385980.2000000001,1053037.8,1838440.2,1996889.199999999,2262521.3000000003,200633.30000000005,1811541.9000000008,215188.30000000002,667056.0000000002,1090135.0999999999,1278644.7999999998,1452459.5999999999,1610908.5999999999,1876539.7999999996,224655.6000000001,227213.30000000005,219933.69999999998,785400.9,943850.8000000003,203144.29999999993,188510.40000000005,362323.8999999999,520772.4999999998,786403.3999999996,173813.3,332262.1999999999,158448.6,143513.8000000001,16074.899999999996,32493.89999999998,86188.29999999997,162912.19999999995,179690.3000000001,206665.80000000005,16412.400000000005,163604.69999999998,17381.100000000006,53673.200000000026,92214.0,111921.4,130398.09999999998,147175.59999999998,174153.19999999992,17930.699999999997,18347.199999999997,18850.999999999993,76720.59999999999,93499.29999999999,19674.199999999993,19704.600000000006,38183.49999999999,54962.600000000006,81934.89999999998,18471.400000000005,35255.100000000006,16779.40000000001,14753.1,284327.3999999999,565499.4,1495128.3000000007,2641965.5999999973,2882727.7,3264859.8000000003,280907.99999999994,2598070.000000001,298933.5999999999,929585.4000000001,1534323.1000000006,1814381.3000000005,2076377.6,2317132.6999999993,2699277.1999999993,311994.30000000005,318632.8,308561.2,1146791.2000000002,1387534.2000000002,296151.1000000001,280040.39999999985,542053.4999999999,782795.8999999996,1164911.1999999995,261985.5000000001,502735.5000000002,240722.49999999988,207550.1000000001,9288.400000000001,19110.4,50184.29999999998,95528.50000000004,105888.79999999997,123347.70000000003,9821.099999999999,96598.79999999999,9941.2,31070.5,53544.9,65317.50000000003,76416.50000000003,86776.59999999999,104237.0,10346.199999999999,10776.500000000004,11106.699999999999,45341.8,55701.09999999999,11363.5,11771.5,22870.4,33230.4,50690.100000000006,11099.399999999998,21459.20000000001,10359.500000000002,9720.500000000002,29658.40000000001,62902.80000000001,167110.80000000002,304413.2999999999,334249.6000000001,382092.5,33241.50000000001,304586.9999999998,34501.4,104200.60000000002,176631.5,209361.20000000004,241507.8,271342.9,319186.60000000015,34049.4,35644.600000000006,36640.3,137302.99999999997,167139.50000000006,35781.1,32725.900000000005,64874.5,94709.00000000001,142553.7,32142.900000000005,61981.3,29832.499999999993,26309.0,23724.40000000001,46581.300000000025,114700.6,186570.00000000012,199814.89999999997,220691.3000000001,22712.500000000015,175945.69999999995,22439.100000000002,68105.3,108031.49999999993,124983.89999999997,139954.9000000001,153200.09999999998,174084.90000000002,23008.30000000001,22656.50000000001,21015.100000000002,71835.30000000003,85078.80000000003,18869.300000000014,16922.099999999995,31915.399999999994,45156.200000000004,66029.19999999998,14919.499999999996,28204.50000000001,13193.900000000007,11372.100000000004,870.1000000000001,1973.3999999999999,5313.2,9280.300000000005,10002.900000000001,11100.2,1087.9000000000003,9116.199999999999,1108.9,3321.4,5460.100000000002,6434.700000000001,7287.299999999999,8011.500000000001,9107.299999999997,1102.4,1109.1999999999996,1088.7999999999995,3958.6,4681.399999999997,1044.0000000000002,969.1000000000003,1822.8,2544.4,3637.4999999999995,843.3000000000002,1571.5000000000005,707.5999999999998,586.9,257754.59999999995,531136.4,1458617.2000000007,2671500.1999999993,2933264.7999999984,3367464.8,273369.20000000007,2675498.0999999987,294354.1,927480.1000000006,1561309.400000001,1860121.6999999997,2140363.699999999,2402129.0,2836328.3000000026,311474.89999999997,321651.60000000003,321115.1999999999,1212883.000000001,1474648.3999999997,312714.19999999995,298811.9999999998,579054.2999999997,840817.8000000002,1275019.2000000004,280241.99999999994,542006.2999999998,261764.30000000005,232478.69999999998,9860.199999999997,19772.199999999997,49453.599999999984,88766.50000000001,96800.19999999998,110390.00000000001,9901.799999999997,86930.19999999992,9354.899999999998,29681.799999999996,50379.99999999999,60032.50000000001,68995.09999999999,77029.10000000002,90619.2,10179.300000000001,10089.9,10380.600000000004,39314.60000000002,47346.7,10219.300000000003,9633.999999999998,18615.0,26647.700000000004,40238.100000000006,8963.1,16996.30000000001,8033.4000000000015,7271.099999999999,2003.7999999999995,4190.299999999999,12302.600000000002,21799.899999999987,23512.399999999994,26322.899999999998,2173.2,21497.699999999997,2566.3999999999983,8108.199999999999,13295.99999999999,15584.00000000001,17604.99999999998,19318.1,22127.099999999995,2761.599999999999,2764.0,2663.1,9496.499999999998,11209.300000000003,2514.7000000000007,2281.700000000001,4306.8,6021.299999999998,8831.8,2015.0999999999992,3730.8,1702.1999999999998,1553.5999999999995,6291.500000000001,12732.699999999999,32904.299999999996,59327.79999999999,65165.299999999996,74999.60000000002,6440.000000000001,58872.2,6687.9,20121.0,33822.70000000001,40322.700000000004,46544.29999999999,52382.19999999998,62214.80000000002,6650.8,6677.000000000001,6846.199999999997,26418.9,32255.8,6791.6,6487.499999999998,12718.8,18552.7,28382.700000000004,6192.099999999999,12055.9,5811.800000000003,5225.300000000001,880.0,1736.1000000000004,4362.0999999999985,7754.799999999997,8453.099999999999,9379.9,846.4999999999999,7572.999999999998,921.9000000000001,2624.400000000001,4311.899999999999,5211.7,6017.5999999999985,6715.6,7642.800000000002,886.8000000000001,810.7,847.8,3393.1999999999994,4090.5000000000014,839.7,900.2999999999998,1706.0999999999997,2404.0999999999995,3330.4999999999995,805.7999999999998,1503.5999999999997,697.5000000000001,523.1000000000001,4203.1,8809.900000000001,23013.600000000002,40058.900000000016,43407.50000000001,48307.59999999999,4606.400000000001,39203.899999999994,4814.799999999999,14204.199999999999,23058.39999999999,27310.30000000001,31249.39999999999,34598.500000000015,39497.4,4776.4,4611.700000000001,4482.4000000000015,17045.8,20393.799999999996,4372.300000000001,4251.699999999999,8190.9,11539.499999999996,16439.0,3939.400000000001,7287.1,3348.3999999999996,2741.2000000000007,1108.9,2357.7999999999997,6255.100000000001,11151.200000000004,12219.499999999996,13892.999999999996,1245.9000000000003,11107.199999999999,1349.9,3892.6999999999985,6335.699999999999,7587.900000000003,8788.7,9857.099999999999,11530.8,1304.0,1219.999999999999,1208.1999999999998,4895.000000000001,5964.900000000001,1202.9000000000005,1236.9000000000003,2443.500000000001,3516.6,5193.5999999999985,1178.3999999999996,2246.4999999999986,1050.4,920.8999999999996,72028.60000000005,148985.69999999998,398467.2,707084.2000000004,767992.2999999998,862994.3999999997,76925.60000000006,695933.7000000004,81417.7,249482.29999999996,414261.9,490032.39999999997,558099.1000000002,619008.0000000006,714007.8999999997,83340.6,84713.60000000005,83481.9,308617.50000000006,369526.1999999999,81278.30000000002,75763.7,143832.59999999995,204742.80000000002,299746.6000000001,68052.60000000002,128968.8,60886.1,52434.80000000001,14889.0,30562.6,83384.39999999997,149854.70000000004,162710.70000000007,182915.70000000004,15644.700000000003,147798.40000000002,17163.799999999992,52812.09999999998,88118.80000000002,104607.89999999997,119289.09999999999,132145.49999999997,152350.69999999995,17747.600000000006,17860.400000000005,17825.599999999995,66461.29999999999,79319.29999999999,17443.19999999999,16473.6,31155.70000000001,44014.2,64218.200000000026,14668.4,27525.000000000015,12843.5,11148.199999999995,4040082.200000003,3828716.600000002,4074929.5999999996,4569694.199999997,4820460.300000001,4862872.000000002,4883384.300000004,4937868.900000009,5222577.8,1239564.8000000005,428195.19999999995,445759.59999999986,442454.5999999999,297033.5000000002,286116.99999999977,2301574.099999998,286071.7000000001,297348.8000000002,216698.3000000002,206717.30000000008,213049.2000000001,140777.89999999997,80644.69999999998,80061.99999999999,84123.70000000003,45454.20000000005,46066.89999999998,47332.399999999994,75221.80000000002,67673.29999999999,72776.80000000013,53220.09999999999,56483.299999999945,49075.49999999997,51119.40000000002,49832.900000000045,49916.79999999999,20215.600000000002,114050.90000000002,240118.0,628215.9,1119525.1000000006,1219469.0999999999,1372388.0999999994,126067.49999999994,1105417.7,132275.30000000002,388097.79999999993,643183.3000000002,766742.4000000001,879408.4999999999,979350.9000000001,1132270.5999999999,129371.90000000004,126451.40000000004,127392.3,491309.89999999997,591253.5000000002,127693.79999999999,123559.30000000003,236224.8000000001,336168.30000000005,489087.4000000002,112664.99999999997,212609.0,99944.00000000004,84500.2,48116.700000000004,95494.09999999998,242647.0000000001,435499.49999999994,476988.8,546166.5,47366.399999999994,428860.60000000003,46981.10000000002,147149.9,248396.7,295564.9999999999,340002.10000000003,381489.9,450668.5,48878.400000000016,51288.50000000002,51663.499999999985,192848.2,234338.09999999998,49583.49999999996,47162.600000000006,91597.80000000002,133086.6,202265.49999999997,44417.700000000004,85923.09999999998,41456.69999999998,37322.200000000004,67857.10000000003,137484.29999999996,359836.7000000001,627893.2000000001,685593.0999999997,778146.2000000002,69626.8,617735.7000000001,73290.89999999995,222352.49999999994,366429.80000000005,430135.5999999999,490408.6,548108.5,640662.6000000001,76362.5,72697.7,73691.80000000005,268057.1000000001,325756.50000000006,70385.29999999997,63705.79999999999,123979.99999999996,181679.89999999997,274232.40000000014,60273.50000000001,117973.10000000002,57700.0,50611.99999999999,7976.400000000001,16879.199999999997,46263.9,90059.39999999998,102419.39999999998,120058.60000000002,8902.6,94443.2,9240.7,29384.499999999993,50063.2,61040.700000000004,73180.59999999998,85540.40000000001,103178.70000000001,9774.200000000003,10369.5,10302.399999999998,43796.50000000001,56155.500000000015,10375.800000000001,10977.7,23117.5,35477.8,53116.6,12139.799999999996,24499.700000000004,12359.7,9949.699999999999,28972.699999999997,59133.49999999994,156089.20000000004,283542.3999999999,311081.7,357557.4000000003,30055.000000000015,282080.5999999999,31919.79999999999,96890.09999999999,162041.09999999983,194343.19999999995,224395.80000000005,251935.9,298411.9999999998,32375.000000000004,32357.299999999996,32421.49999999999,127399.49999999994,154932.2,32541.60000000001,32191.799999999985,62214.3,89784.60000000003,136294.7000000001,29953.099999999995,57485.09999999996,27463.299999999992,24836.300000000003,5812.899999999998,12458.8,34431.000000000015,63732.30000000002,69646.60000000002,79214.10000000002,6640.999999999997,63828.50000000001,6893.399999999997,21969.000000000004,37380.899999999994,44515.799999999996,51270.299999999996,57182.0,66751.89999999995,7400.199999999999,7674.100000000001,7158.1,29301.9,35214.59999999999,8253.1,7133.699999999998,13888.499999999998,19802.700000000004,29370.299999999996,6753.600000000002,12667.999999999998,5911.400000000001,5194.399999999999,16820.500000000007,35604.9,93460.19999999995,161529.3,174578.20000000007,193667.39999999994,18782.2,157754.2,19659.7,57854.299999999996,94082.6,110795.49999999999,125923.40000000002,138972.89999999997,158061.50000000006,19294.699999999997,18900.1,18440.299999999996,68070.1,81117.89999999997,17788.000000000007,16713.1,31840.400000000005,44889.49999999999,63978.299999999996,15128.50000000001,28177.600000000006,13048.100000000002,10695.799999999996,185745.90000000005,349774.70000000007,892884.7000000004,1415411.5999999996,1497680.1000000003,1604883.1999999993,164029.30000000002,1311934.5000000002,185157.09999999998,543109.5999999999,838591.9000000001,962648.6,1065636.9000000006,1147904.8000000003,1255107.7,184002.50000000003,173950.99999999997,156728.90000000002,522527.3000000002,604795.3,138753.6,124057.4,227044.60000000003,309313.5999999999,416515.6,102987.79999999999,185256.29999999993,82268.3,61391.399999999994,275024.0000000002,572513.8999999999,1513104.4999999995,2635536.0,2869751.9999999995,3260454.9000000004,297381.1,2594646.000000001,314840.99999999994,940503.7999999993,1536235.4000000006,1810114.9000000001,2062969.1000000006,2297188.4999999995,2687901.000000001,314067.6999999999,311440.10000000003,303481.2,1122389.5,1356635.3000000003,292087.4,273815.39999999997,526673.7000000003,760932.3999999996,1151654.3000000003,252796.00000000015,487053.99999999977,234177.59999999995,210836.49999999994,1321979.8999999987,354514.60000000027,5847.800000000004,539571.9000000004,1774559.2000000025,1496869.400000002,259201.29999999996,1003430.2999999999,3426757.500000004,4323459.899999991,2047714.499999998,2349759.8999999994,6272435.999999996,7720004.100000008,3771862.599999997,3895327.1999999983,7022670.200000006,8305231.200000008,4032629.100000004,4273068.599999996,8422424.800000012,9062105.199999986,4352114.599999992,4995724.900000004,452572.3000000001,1142347.2999999993,252605.49999999994,463435.7000000005,5700691.199999995,7950707.100000006,4026036.2000000067,3733066.2000000025,486421.6999999997,948002.5999999999,586584.8,461542.5999999998,1652192.9000000025,2826586.3999999966,1788400.8000000017,1345871.6000000006,3016299.7999999975,4676117.199999994,2780882.200000004,2144942.4999999986,3747115.9999999935,5505348.299999995,3181183.8000000045,2524463.4000000004,4497876.599999992,6223134.700000002,3512549.200000004,2891496.1000000024,5248107.2,6808359.700000008,3773316.3000000054,3269237.3999999976,6647861.199999999,7565236.600000003,4092800.3000000026,3991931.899999999,556644.799999999,936830.5000000003,617917.7999999998,445771.39999999985,608911.2999999984,941750.8000000017,583854.5000000005,437747.0000000004,660021.4000000005,943267.4000000004,529178.8000000002,410184.20000000007,2845680.7999999966,3396548.299999995,1724149.1000000006,1545254.1000000003,3595915.0000000014,3981770.799999998,1984916.9000000036,1922996.5999999999,703878.699999999,906252.9999999999,463279.3000000004,388067.69999999955,730791.8000000005,829226.2999999984,400282.1000000001,379140.9999999994,1481571.1000000017,1547009.9999999993,731663.7000000022,746219.5000000008,2231805.3000000017,2132236.9000000013,992432.2000000014,1123970.2999999993,3631559.199999997,2889114.6000000075,1311917.4000000022,1846696.2999999993,750757.4999999991,717755.7999999992,331319.29999999946,366613.10000000015,1500990.8999999976,1302999.4000000025,592120.9000000005,744479.8999999994,750231.2999999986,585182.2999999988,260722.00000000003,377287.4000000001,734146.0,447576.9999999998,193570.69999999992,353868.59999999986]},\"node\":{\"color\":[\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#4B8BBE\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#AF2346\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#32CD32\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\",\"#8B008B\"],\"label\":[\"HR\",\"NL\",\"RO\",\"CZ\",\"MK\",\"HU\",\"AT\",\"CH\",\"FR\",\"BE\",\"IT\",\"DK\",\"ES\",\"LT\",\"NO\",\"UK\",\"IE\",\"RS\",\"LV\",\"TR\",\"PT\",\"EL\",\"CY\",\"LU\",\"PL\",\"SE\",\"SI\",\"ME\",\"MT\",\"BG\",\"DE\",\"EE\",\"SK\",\"IS\",\"FI\",\"Y25-49\",\"Y30-34\",\"Y15-59\",\"Y50-74\",\"Y15-24\",\"Y45-49\",\"Y50-54\",\"Y55-59\",\"Y60-64\",\"Y20-64\",\"Y25-74\",\"Y15-64\",\"Y15-39\",\"Y40-44\",\"Y25-29\",\"Y25-64\",\"Y25-59\",\"Y25-39\",\"Y15-74\",\"Y50-64\",\"Y35-39\",\"Y25-54\",\"Y55-64\",\"Y20-24\",\"Y40-64\",\"Y50-59\",\"Y15-19\",\"Y40-59\",\"Y65-69\",\"NRP\",\"ED3_4\",\"ED5-8\",\"ED0-2\",1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020],\"line\":{\"color\":\"black\",\"width\":0.25},\"pad\":15,\"thickness\":20},\"type\":\"sankey\"}], {\"font\":{\"size\":10},\"height\":1000,\"title\":\"Access to education of European people: { Country -> Age Group -> Education Level -> Years }\"}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('d697a060-a8d7-494a-ae28-42605dd5e59b');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = genSankey(data_agg,cat_cols=['geography', 'age', 'isced11', 'date'],\\\n", " value_cols='value',\n", " title='Access to education of European people: { Country -> Age Group -> Education Level -> Years }')\n", "iplot(fig, validate=False)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 15.7971, "end_time": "2021-08-07T18:29:06.484948", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:28:50.687848", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/596/70596346.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "96b3d9b4", "metadata": { "papermill": { "duration": 0.027833, "end_time": "2021-08-07T18:29:12.085408", "exception": false, "start_time": "2021-08-07T18:29:12.057575", "status": "completed" }, "tags": [] }, "source": [ "# 1. Exploratory Data Analysis\n", "\n", "## Aim :\n", "- Understand the data (\"A small step forward is better than a big one backwards\")\n", "- Begin to develop a modelling strategy\n", "\n", "## Features\n", "\n", "Patient_ID: unique identifier id of a patient\n", "\n", "Age: age at diagnosis (Years)\n", "\n", "Gender: Male/Female\n", "\n", "Protein1, Protein2, Protein3, Protein4: expression levels (undefined units)\n", "\n", "Tumour_Stage: I, II, III\n", "\n", "Histology: Infiltrating Ductal Carcinoma, Infiltrating Lobular Carcinoma, Mucinous Carcinoma\n", "\n", "ER status: Positive/Negative\n", "\n", "PR status: Positive/Negative\n", "\n", "HER2 status: Positive/Negative\n", "\n", "Surgery_type: Lumpectomy, Simple Mastectomy, Modified Radical Mastectomy, Other\n", "\n", "DateofSurgery: Date on which surgery was performed (in DD-MON-YY) DateofLast_Visit: Date of last visit (in DD-MON-YY) [can be null, in case the patient didn’t visited again after the surgery]\n", "\n", "Patient_Status: Alive/Dead [can be null, in case the patient didn’t visited again after the surgery and there is no information available whether the patient is alive or dead].\n", "\n", "## Base Checklist\n", "#### Shape Analysis :\n", "- target feature : Patient_Status\n", "- rows and columns : 341 , 16\n", "- features types : qualitatives : 11 , quantitatives : 5\n", "- NaN analysis :\n", " - NaN (1 feature > 5 % of NaN)\n", "\n", "#### Features Analysis :\n", "- Target Analysis :\n", " - Balanced (Oui/Non) : Non\n", " - Percentages : 79% Alive" ] }, { "cell_type": "code", "execution_count": 1, "id": "c0213b32", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:12.142149Z", "iopub.status.busy": "2021-08-07T18:29:12.141130Z", "iopub.status.idle": "2021-08-07T18:29:13.118607Z", "shell.execute_reply": "2021-08-07T18:29:13.117826Z", "shell.execute_reply.started": "2021-08-07T18:23:30.605946Z" }, "papermill": { "duration": 1.006808, "end_time": "2021-08-07T18:29:13.118767", "exception": false, "start_time": "2021-08-07T18:29:12.111959", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "markdown", "id": "5ca7b010", "metadata": { "papermill": { "duration": 0.027175, "end_time": "2021-08-07T18:29:13.172318", "exception": false, "start_time": "2021-08-07T18:29:13.145143", "status": "completed" }, "tags": [] }, "source": [ "## Dataset Analysis" ] }, { "cell_type": "code", "execution_count": 2, "id": "1b43b7c4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:13.230582Z", "iopub.status.busy": "2021-08-07T18:29:13.229933Z", "iopub.status.idle": "2021-08-07T18:29:13.291357Z", "shell.execute_reply": "2021-08-07T18:29:13.290844Z", "shell.execute_reply.started": "2021-08-07T18:23:31.114289Z" }, "papermill": { "duration": 0.09287, "end_time": "2021-08-07T18:29:13.291511", "exception": false, "start_time": "2021-08-07T18:29:13.198641", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Patient_ID</th>\n", " <th>Age</th>\n", " <th>Gender</th>\n", " <th>Protein1</th>\n", " <th>Protein2</th>\n", " <th>Protein3</th>\n", " <th>Protein4</th>\n", " <th>Tumour_Stage</th>\n", " <th>Histology</th>\n", " <th>ER status</th>\n", " <th>PR status</th>\n", " <th>HER2 status</th>\n", " <th>Surgery_type</th>\n", " <th>Date_of_Surgery</th>\n", " <th>Date_of_Last_Visit</th>\n", " <th>Patient_Status</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>TCGA-D8-A1XD</td>\n", " <td>36.0</td>\n", " <td>FEMALE</td>\n", " <td>0.080353</td>\n", " <td>0.42638</td>\n", " <td>0.54715</td>\n", " <td>0.273680</td>\n", " <td>III</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Modified Radical Mastectomy</td>\n", " <td>15-Jan-17</td>\n", " <td>19-Jun-17</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>TCGA-EW-A1OX</td>\n", " <td>43.0</td>\n", " <td>FEMALE</td>\n", " <td>-0.420320</td>\n", " <td>0.57807</td>\n", " <td>0.61447</td>\n", " <td>-0.031505</td>\n", " <td>II</td>\n", " <td>Mucinous Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Lumpectomy</td>\n", " <td>26-Apr-17</td>\n", " <td>09-Nov-18</td>\n", " <td>Dead</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>TCGA-A8-A079</td>\n", " <td>69.0</td>\n", " <td>FEMALE</td>\n", " <td>0.213980</td>\n", " <td>1.31140</td>\n", " <td>-0.32747</td>\n", " <td>-0.234260</td>\n", " <td>III</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Other</td>\n", " <td>08-Sep-17</td>\n", " <td>09-Jun-18</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>TCGA-D8-A1XR</td>\n", " <td>56.0</td>\n", " <td>FEMALE</td>\n", " <td>0.345090</td>\n", " <td>-0.21147</td>\n", " <td>-0.19304</td>\n", " <td>0.124270</td>\n", " <td>II</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Modified Radical Mastectomy</td>\n", " <td>25-Jan-17</td>\n", " <td>12-Jul-17</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>TCGA-BH-A0BF</td>\n", " <td>56.0</td>\n", " <td>FEMALE</td>\n", " <td>0.221550</td>\n", " <td>1.90680</td>\n", " <td>0.52045</td>\n", " <td>-0.311990</td>\n", " <td>II</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Other</td>\n", " <td>06-May-17</td>\n", " <td>27-Jun-19</td>\n", " <td>Dead</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Patient_ID Age Gender Protein1 Protein2 Protein3 Protein4 \\\n", "0 TCGA-D8-A1XD 36.0 FEMALE 0.080353 0.42638 0.54715 0.273680 \n", "1 TCGA-EW-A1OX 43.0 FEMALE -0.420320 0.57807 0.61447 -0.031505 \n", "2 TCGA-A8-A079 69.0 FEMALE 0.213980 1.31140 -0.32747 -0.234260 \n", "3 TCGA-D8-A1XR 56.0 FEMALE 0.345090 -0.21147 -0.19304 0.124270 \n", "4 TCGA-BH-A0BF 56.0 FEMALE 0.221550 1.90680 0.52045 -0.311990 \n", "\n", " Tumour_Stage Histology ER status PR status HER2 status \\\n", "0 III Infiltrating Ductal Carcinoma Positive Positive Negative \n", "1 II Mucinous Carcinoma Positive Positive Negative \n", "2 III Infiltrating Ductal Carcinoma Positive Positive Negative \n", "3 II Infiltrating Ductal Carcinoma Positive Positive Negative \n", "4 II Infiltrating Ductal Carcinoma Positive Positive Negative \n", "\n", " Surgery_type Date_of_Surgery Date_of_Last_Visit \\\n", "0 Modified Radical Mastectomy 15-Jan-17 19-Jun-17 \n", "1 Lumpectomy 26-Apr-17 09-Nov-18 \n", "2 Other 08-Sep-17 09-Jun-18 \n", "3 Modified Radical Mastectomy 25-Jan-17 12-Jul-17 \n", "4 Other 06-May-17 27-Jun-19 \n", "\n", " Patient_Status \n", "0 Alive \n", "1 Dead \n", "2 Alive \n", "3 Alive \n", "4 Dead " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = pd.read_csv('../input/breastcancerdataset/BRCA.csv')\n", "df = data.copy()\n", "pd.set_option('display.max_row',df.shape[0])\n", "pd.set_option('display.max_column',df.shape[1]) \n", "df.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "f1feecf2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:13.354380Z", "iopub.status.busy": "2021-08-07T18:29:13.353364Z", "iopub.status.idle": "2021-08-07T18:29:13.377287Z", "shell.execute_reply": "2021-08-07T18:29:13.376309Z", "shell.execute_reply.started": "2021-08-07T18:23:31.160367Z" }, "papermill": { "duration": 0.05858, "end_time": "2021-08-07T18:29:13.377519", "exception": false, "start_time": "2021-08-07T18:29:13.318939", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Date_of_Last_Visit 7.038123\n", "Patient_Status 5.865103\n", "Patient_ID 2.052786\n", "Age 2.052786\n", "Gender 2.052786\n", "Protein1 2.052786\n", "Protein2 2.052786\n", "Protein3 2.052786\n", "Protein4 2.052786\n", "Tumour_Stage 2.052786\n", "Histology 2.052786\n", "ER status 2.052786\n", "PR status 2.052786\n", "HER2 status 2.052786\n", "Surgery_type 2.052786\n", "Date_of_Surgery 2.052786\n", "dtype: float64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(df.isna().sum()/df.shape[0]100).sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": 4, "id": "0327a936", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:13.435980Z", "iopub.status.busy": "2021-08-07T18:29:13.435043Z", "iopub.status.idle": "2021-08-07T18:29:14.061959Z", "shell.execute_reply": "2021-08-07T18:29:14.062682Z", "shell.execute_reply.started": "2021-08-07T18:23:31.182795Z" }, "papermill": { "duration": 0.657857, "end_time": "2021-08-07T18:29:14.062968", "exception": false, "start_time": "2021-08-07T18:29:13.405111", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,8))\n", "sns.heatmap(df.isna(),cbar=False)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "id": "b73b55a8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:14.135717Z", "iopub.status.busy": "2021-08-07T18:29:14.134374Z", "iopub.status.idle": "2021-08-07T18:29:14.142081Z", "shell.execute_reply": "2021-08-07T18:29:14.143205Z", "shell.execute_reply.started": "2021-08-07T18:23:31.865353Z" }, "papermill": { "duration": 0.040407, "end_time": "2021-08-07T18:29:14.143519", "exception": false, "start_time": "2021-08-07T18:29:14.103112", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There is 341 rows\n", "There is 16 columns\n" ] } ], "source": [ "print('There is' , df.shape[0] , 'rows')\n", "print('There is' , df.shape[1] , 'columns')" ] }, { "cell_type": "markdown", "id": "719bfaa5", "metadata": { "papermill": { "duration": 0.028443, "end_time": "2021-08-07T18:29:14.201265", "exception": false, "start_time": "2021-08-07T18:29:14.172822", "status": "completed" }, "tags": [] }, "source": [ "## Visualising Target and Features\n", "### Quantitative features" ] }, { "cell_type": "code", "execution_count": 6, "id": "27cab91b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:14.268949Z", "iopub.status.busy": "2021-08-07T18:29:14.268279Z", "iopub.status.idle": "2021-08-07T18:29:14.271809Z", "shell.execute_reply": "2021-08-07T18:29:14.272243Z", "shell.execute_reply.started": "2021-08-07T18:23:31.874659Z" }, "papermill": { "duration": 0.042734, "end_time": "2021-08-07T18:29:14.272424", "exception": false, "start_time": "2021-08-07T18:29:14.229690", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Alive 0.794393\n", "Dead 0.205607\n", "Name: Patient_Status, dtype: float64" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Patient_Status'].value_counts(normalize=True) #Classes déséquilibrées" ] }, { "cell_type": "code", "execution_count": 7, "id": "6e839be3", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:14.335185Z", "iopub.status.busy": "2021-08-07T18:29:14.334219Z", "iopub.status.idle": "2021-08-07T18:29:15.582362Z", "shell.execute_reply": "2021-08-07T18:29:15.582861Z", "shell.execute_reply.started": "2021-08-07T18:23:31.896646Z" }, "papermill": { "duration": 1.280585, "end_time": "2021-08-07T18:29:15.583064", "exception": false, "start_time": "2021-08-07T18:29:14.302479", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<Figure size 432x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 216x216 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 432x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 216x216 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 432x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 216x216 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 432x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 216x216 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 432x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 216x216 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for col in df.select_dtypes(include=['float64','int64']):\n", " plt.figure()\n", " sns.displot(df[col],kind='kde',height=3)\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "e473620c", "metadata": { "papermill": { "duration": 0.033524, "end_time": "2021-08-07T18:29:15.650038", "exception": false, "start_time": "2021-08-07T18:29:15.616514", "status": "completed" }, "tags": [] }, "source": [ "### Categorical features" ] }, { "cell_type": "code", "execution_count": 8, "id": "2059ca9c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:15.727519Z", "iopub.status.busy": "2021-08-07T18:29:15.724117Z", "iopub.status.idle": "2021-08-07T18:29:15.734409Z", "shell.execute_reply": "2021-08-07T18:29:15.733705Z", "shell.execute_reply.started": "2021-08-07T18:23:33.142971Z" }, "papermill": { "duration": 0.051221, "end_time": "2021-08-07T18:29:15.734578", "exception": false, "start_time": "2021-08-07T18:29:15.683357", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Patient_ID---------------------------------------- ['TCGA-D8-A1XD' 'TCGA-EW-A1OX' 'TCGA-A8-A079' 'TCGA-D8-A1XR'\n", " 'TCGA-BH-A0BF' 'TCGA-AO-A1KQ' 'TCGA-D8-A73X' 'TCGA-A7-A426'\n", " 'TCGA-EW-A1P5' 'TCGA-A8-A09A' 'TCGA-S3-A6ZG' 'TCGA-BH-A0EA'\n", " 'TCGA-AC-A8OR' 'TCGA-A2-A0ES' 'TCGA-C8-A8HQ' 'TCGA-AO-A03V'\n", " 'TCGA-A2-A0D4' 'TCGA-EW-A1PA' 'TCGA-BH-A0DE' 'TCGA-E2-A1B4'\n", " 'TCGA-AC-A3HN' 'TCGA-A8-A095' 'TCGA-AN-A0FY' 'TCGA-A2-A4S0'\n", " 'TCGA-A7-A3J0' 'TCGA-AC-A62Y' 'TCGA-A7-A5ZW' 'TCGA-A2-A25C'\n", " 'TCGA-D8-A1JC' 'TCGA-A7-A4SB' 'TCGA-AR-A24S' 'TCGA-D8-A4Z1'\n", " 'TCGA-A7-A26J' 'TCGA-AC-A5XS' 'TCGA-OL-A6VR' 'TCGA-EW-A1PF'\n", " 'TCGA-LL-A7SZ' 'TCGA-BH-A18K' 'TCGA-AC-A3OD' 'TCGA-BH-A8FY'\n", " 'TCGA-C8-A26Z' 'TCGA-A2-A1G4' 'TCGA-BH-A18F' 'TCGA-E2-A1IG'\n", " 'TCGA-AC-A2B8' 'TCGA-BH-A0BT' 'TCGA-AO-A125' 'TCGA-A8-A07E'\n", " 'TCGA-A8-A08A' 'TCGA-A2-A0EX' 'TCGA-A8-A093' 'TCGA-E2-A1L6'\n", " 'TCGA-3C-AAAU' 'TCGA-E2-A1IL' 'TCGA-A2-A0CO' 'TCGA-BH-A0E7'\n", " 'TCGA-EW-A6SC' 'TCGA-D8-A1X7' 'TCGA-D8-A1XM' 'TCGA-A1-A0SF'\n", " 'TCGA-EW-A1J5' 'TCGA-BH-A0AY' 'TCGA-E2-A15G' 'TCGA-A8-A09B'\n", " 'TCGA-BH-A0HF' 'TCGA-BH-A0GY' 'TCGA-BH-A0BD' 'TCGA-E2-A1IF'\n", " 'TCGA-A8-A08Z' 'TCGA-D8-A146' 'TCGA-AR-A252' 'TCGA-D8-A1JJ'\n", " 'TCGA-C8-A274' 'TCGA-GM-A2DO' 'TCGA-BH-A0H6' 'TCGA-BH-A0H7'\n", " 'TCGA-A8-A09T' 'TCGA-D8-A1JS' 'TCGA-BH-A0B0' 'TCGA-A8-A096'\n", " 'TCGA-D8-A1XC' 'TCGA-E2-A154' 'TCGA-D8-A1JU' 'TCGA-AR-A24W'\n", " 'TCGA-B6-A40C' 'TCGA-A8-A09Q' 'TCGA-AN-A049' 'TCGA-E9-A54X'\n", " 'TCGA-A8-A082' 'TCGA-D8-A1X6' 'TCGA-A2-A0YL' 'TCGA-A8-A09K'\n", " 'TCGA-AO-A0JD' 'TCGA-E2-A14Q' 'TCGA-GM-A2DN' 'TCGA-A2-A0T5'\n", " 'TCGA-A7-A0CJ' 'TCGA-AN-A03Y' 'TCGA-BH-A42V' 'TCGA-A8-A06O'\n", " 'TCGA-A2-A0CZ' 'TCGA-A2-A0D3' 'TCGA-E9-A6HE' 'TCGA-D8-A27T'\n", " 'TCGA-E2-A1IK' 'TCGA-BH-A0B1' 'TCGA-BH-A0DX' 'TCGA-EW-A1OY'\n", " 'TCGA-OK-A5Q2' 'TCGA-C8-A1HG' 'TCGA-EW-A1J1' 'TCGA-MS-A51U'\n", " 'TCGA-A2-A0CY' 'TCGA-BH-A28O' 'TCGA-AR-A0U3' 'TCGA-BH-A0AZ'\n", " 'TCGA-E2-A15A' 'TCGA-C8-A12N' 'TCGA-BH-A0E2' 'TCGA-D8-A27P'\n", " 'TCGA-AO-A0J8' 'TCGA-E2-A1IN' 'TCGA-GM-A5PX' 'TCGA-AO-A03R'\n", " 'TCGA-A2-A0EV' 'TCGA-A8-A09M' 'TCGA-A8-A09V' 'TCGA-D8-A27K'\n", " 'TCGA-C8-A26V' 'TCGA-AO-A03M' 'TCGA-AN-A0FF' 'TCGA-EW-A1PE'\n", " 'TCGA-D8-A27I' 'TCGA-D8-A1XO' 'TCGA-EW-A1J6' 'TCGA-D8-A1JP'\n", " 'TCGA-LD-A7W6' 'TCGA-A8-A07G' 'TCGA-D8-A1JH' 'TCGA-BH-A0E9'\n", " 'TCGA-BH-A0B5' 'TCGA-AR-A24M' 'TCGA-E9-A227' 'TCGA-AO-A12H'\n", " 'TCGA-BH-A2L8' 'TCGA-BH-A0C1' 'TCGA-A7-A26E' 'TCGA-BH-A0DQ'\n", " 'TCGA-5L-AAT0' 'TCGA-A8-A06P' 'TCGA-A8-A0A4' 'TCGA-BH-AB28'\n", " 'TCGA-AQ-A54O' 'TCGA-C8-A273' 'TCGA-A2-A1FZ' 'TCGA-LL-A6FQ'\n", " 'TCGA-Z7-A8R6' 'TCGA-A8-A07W' 'TCGA-C8-A27A' 'TCGA-AO-A126'\n", " 'TCGA-A2-A4RX' 'TCGA-A2-A0CV' 'TCGA-BH-A18L' 'TCGA-D8-A1JE'\n", " 'TCGA-A8-A086' 'TCGA-AO-A0JA' 'TCGA-GM-A2DL' 'TCGA-AC-A3W6'\n", " 'TCGA-AR-A1AK' 'TCGA-E2-A1IU' 'TCGA-AR-A0U2' 'TCGA-BH-A0HO'\n", " 'TCGA-A7-A56D' 'TCGA-D8-A1JI' 'TCGA-EW-A1J2' 'TCGA-AQ-A7U7'\n", " 'TCGA-C8-A12W' 'TCGA-AC-A3BB' 'TCGA-A8-A092' 'TCGA-BH-A0DK'\n", " 'TCGA-E2-A14T' 'TCGA-A2-A1FV' 'TCGA-C8-A1HI' 'TCGA-D8-A1JD'\n", " 'TCGA-BH-A0W7' 'TCGA-A8-A0AD' 'TCGA-A7-A3RF' 'TCGA-AR-A24V'\n", " 'TCGA-AR-A1AN' 'TCGA-AO-A03O' 'TCGA-A2-A0EW' 'TCGA-BH-A0DH'\n", " 'TCGA-A8-A08O' 'TCGA-W8-A86G' 'TCGA-LD-A7W5' 'TCGA-E2-A15M'\n", " 'TCGA-C8-A12U' 'TCGA-BH-A0BP' 'TCGA-D8-A27L' 'TCGA-E2-A153'\n", " 'TCGA-AO-A03T' 'TCGA-AO-A03N' 'TCGA-D8-A141' 'TCGA-A8-A08F'\n", " 'TCGA-AC-A5XU' 'TCGA-B6-A401' 'TCGA-E9-A1NH' 'TCGA-GM-A3XN'\n", " 'TCGA-A2-A4RW' 'TCGA-BH-A0DV' 'TCGA-WT-AB44' 'TCGA-A8-A0A2'\n", " 'TCGA-A8-A07J' 'TCGA-HN-A2OB' 'TCGA-EW-A1IY' 'TCGA-AO-A12B'\n", " 'TCGA-A2-A4S3' 'TCGA-AC-A6NO' 'TCGA-A8-A07Z' 'TCGA-C8-A12X'\n", " 'TCGA-D8-A1XB' 'TCGA-C8-A12O' 'TCGA-BH-A0HQ' 'TCGA-BH-A0HI'\n", " 'TCGA-BH-A0DO' 'TCGA-A2-A3KD' 'TCGA-BH-A0BA' 'TCGA-AN-A046'\n", " 'TCGA-A2-A0T7' 'TCGA-E2-A15F' 'TCGA-BH-A0DT' 'TCGA-D8-A3Z5'\n", " 'TCGA-AR-A1AS' 'TCGA-BH-A0EI' 'TCGA-E2-A108' 'TCGA-D8-A3Z6'\n", " 'TCGA-A8-A0A6' 'TCGA-GM-A3XG' 'TCGA-E2-A1L9' 'TCGA-EW-A1P3'\n", " 'TCGA-BH-A0BO' 'TCGA-AQ-A1H3' 'TCGA-A8-A09D' 'TCGA-A1-A0SD'\n", " 'TCGA-E9-A5FK' 'TCGA-GM-A3NY' 'TCGA-A1-A0SE' 'TCGA-A8-A07L'\n", " 'TCGA-A2-A0CL' 'TCGA-EW-A1PC' 'TCGA-BH-A0DS' 'TCGA-D8-A73U'\n", " 'TCGA-AO-A0JF' 'TCGA-AR-A24Z' 'TCGA-A1-A0SQ' 'TCGA-AO-A12E'\n", " 'TCGA-E9-A54Y' 'TCGA-Z7-A8R5' 'TCGA-BH-A0BJ' 'TCGA-AO-A0JB'\n", " 'TCGA-BH-A0DP' 'TCGA-A8-A07F' 'TCGA-BH-A8G0' 'TCGA-A1-A0SI'\n", " 'TCGA-D8-A1XU' 'TCGA-BH-A18S' 'TCGA-A8-A0A1' 'TCGA-D8-A1J8'\n", " 'TCGA-GM-A2DM' 'TCGA-EW-A1IX' 'TCGA-A8-A0A9' 'TCGA-AR-A1AV'\n", " 'TCGA-BH-A0H0' 'TCGA-A8-A09R' 'TCGA-AR-A24H' 'TCGA-BH-A0DI'\n", " 'TCGA-E2-A1BC' 'TCGA-GI-A2C8' 'TCGA-AR-A24O' 'TCGA-BH-A0BC'\n", " 'TCGA-D8-A27V' 'TCGA-EW-A2FV' 'TCGA-EW-A1IZ' 'TCGA-BH-A18N'\n", " 'TCGA-BH-A0HX' 'TCGA-AC-A5EI' 'TCGA-A8-A081' 'TCGA-XX-A89A'\n", " 'TCGA-C8-A1HM' 'TCGA-A2-A4S2' 'TCGA-XX-A899' 'TCGA-A2-A4RY'\n", " 'TCGA-A2-A0YI' 'TCGA-E2-A10C' 'TCGA-D8-A13Y' 'TCGA-A2-A0CK'\n", " 'TCGA-E2-A15P' 'TCGA-AR-A24R' 'TCGA-BH-A5J0' 'TCGA-A8-A06Q'\n", " 'TCGA-A7-A3J1' 'TCGA-A2-A0YH' 'TCGA-A7-A6VX' 'TCGA-A8-A08I'\n", " 'TCGA-EW-A2FW' 'TCGA-BH-A18J' 'TCGA-AO-A0JC' 'TCGA-AO-A0J7'\n", " 'TCGA-BH-A0BZ' 'TCGA-EW-A423' 'TCGA-A2-A04Y' 'TCGA-A2-A0T6'\n", " 'TCGA-A8-A06Y' 'TCGA-AR-A2LN' 'TCGA-LD-A66U' 'TCGA-E2-A156'\n", " 'TCGA-AO-A0JJ' 'TCGA-E2-A14Z' 'TCGA-A2-A0SU' 'TCGA-A7-A13G'\n", " 'TCGA-BH-A0BR' 'TCGA-A8-A083' 'TCGA-BH-A0HU' 'TCGA-AO-A1KP'\n", " 'TCGA-AR-A2LQ' 'TCGA-BH-A0BV' 'TCGA-AO-A1KO' 'TCGA-E2-A1B5'\n", " 'TCGA-AR-A1AL' 'TCGA-AN-A04A' 'TCGA-A8-A085' 'TCGA-A1-A0SG'\n", " 'TCGA-A2-A0EU' 'TCGA-B6-A40B' nan]\n", "Gender-------------------------------------------- ['FEMALE' 'MALE' nan]\n", "Tumour_Stage-------------------------------------- ['III' 'II' 'I' nan]\n", "Histology----------------------------------------- ['Infiltrating Ductal Carcinoma' 'Mucinous Carcinoma'\n", " 'Infiltrating Lobular Carcinoma' nan]\n", "ER status----------------------------------------- ['Positive' nan]\n", "PR status----------------------------------------- ['Positive' nan]\n", "HER2 status--------------------------------------- ['Negative' 'Positive' nan]\n", "Surgery_type-------------------------------------- ['Modified Radical Mastectomy' 'Lumpectomy' 'Other' 'Simple Mastectomy'\n", " nan]\n", "Date_of_Surgery----------------------------------- ['15-Jan-17' '26-Apr-17' '08-Sep-17' '25-Jan-17' '06-May-17' '18-Sep-17'\n", " '04-Feb-17' '16-May-17' '28-Sep-17' '14-Feb-17' '26-May-17' '08-Oct-17'\n", " '24-Feb-17' '05-Jun-17' '18-Oct-17' '06-Mar-17' '15-Jun-17' '28-Oct-17'\n", " '16-Mar-17' '25-Jun-17' '07-Nov-17' '26-Mar-17' '17-Nov-17' '05-Apr-17'\n", " '27-Nov-17' '15-Apr-17' '07-Dec-17' '25-Apr-17' '17-Dec-17' '05-May-17'\n", " '27-Dec-17' '15-May-17' '06-Jan-18' '25-May-17' '16-Jan-18' '04-Jun-17'\n", " '26-Jan-18' '14-Jun-17' '05-Feb-18' '24-Jun-17' '15-Feb-18' '04-Jul-17'\n", " '25-Feb-18' '14-Jul-17' '07-Mar-18' '24-Jul-17' '17-Mar-18' '03-Aug-17'\n", " '27-Mar-18' '13-Aug-17' '06-Apr-18' '23-Aug-17' '16-Apr-18' '02-Sep-17'\n", " '26-Apr-18' '12-Sep-17' '06-May-18' '22-Sep-17' '16-May-18' '02-Oct-17'\n", " '26-May-18' '12-Oct-17' '05-Jun-18' '22-Oct-17' '15-Jun-18' '01-Nov-17'\n", " '25-Jun-18' '11-Nov-17' '05-Jul-18' '21-Nov-17' '15-Jul-18' '01-Dec-17'\n", " '25-Jul-18' '11-Dec-17' '04-Aug-18' '21-Dec-17' '14-Aug-18' '31-Dec-17'\n", " '24-Aug-18' '10-Jan-18' '03-Sep-18' '20-Jan-18' '13-Sep-18' '30-Jan-18'\n", " '23-Sep-18' '09-Feb-18' '03-Oct-18' '19-Feb-18' '01-Mar-18' '13-Oct-18'\n", " '11-Mar-18' '23-Oct-18' '21-Mar-18' '02-Nov-18' '31-Mar-18' '12-Nov-18'\n", " '10-Apr-18' '22-Nov-18' '20-Apr-18' '02-Dec-18' '30-Apr-18' '12-Dec-18'\n", " '10-May-18' '22-Dec-18' '20-May-18' '01-Jan-19' '30-May-18' '11-Jan-19'\n", " '09-Jun-18' '21-Jan-19' '19-Jun-18' '31-Jan-19' '29-Jun-18' '10-Feb-19'\n", " '09-Jul-18' '20-Feb-19' '19-Jul-18' '02-Mar-19' '29-Jul-18' '12-Mar-19'\n", " '08-Aug-18' '22-Mar-19' '18-Aug-18' '01-Apr-19' '28-Aug-18' '11-Apr-19'\n", " '07-Sep-18' '21-Apr-19' '17-Sep-18' '01-May-19' '27-Sep-18' '11-May-19'\n", " '07-Oct-18' '21-May-19' '17-Oct-18' '31-May-19' '27-Oct-18' '10-Jun-19'\n", " '06-Nov-18' '20-Jun-19' '16-Nov-18' '30-Jun-19' '26-Nov-18' '10-Jul-19'\n", " '06-Dec-18' '20-Jul-19' '16-Dec-18' '26-Dec-18' '05-Jan-19' '15-Jan-19'\n", " '25-Jan-19' '04-Feb-19' '14-Feb-19' '24-Feb-19' '06-Mar-19' '16-Mar-19'\n", " '26-Mar-19' '05-Apr-19' '15-Apr-19' '25-Apr-19' '05-May-19' '15-May-19'\n", " '25-May-19' '04-Jun-19' '14-Jun-19' '24-Jun-19' '04-Jul-19' '14-Jul-19'\n", " '24-Jul-19' '03-Aug-19' '13-Aug-19' '23-Aug-19' '02-Sep-19' '12-Sep-19'\n", " '22-Sep-19' '02-Oct-19' '12-Oct-19' '22-Oct-19' '01-Nov-19' '11-Nov-19'\n", " '21-Nov-19' nan]\n", "Date_of_Last_Visit-------------------------------- ['19-Jun-17' '09-Nov-18' '09-Jun-18' '12-Jul-17' '27-Jun-19' '15-Nov-21'\n", " '07-Feb-18' nan '28-Sep-18' '15-Dec-17' '19-Dec-17' '13-Sep-18'\n", " '05-Apr-17' '02-Mar-20' '28-Apr-20' '09-Aug-19' '24-Oct-18' '22-Jul-18'\n", " '20-Oct-19' '23-Dec-19' '28-Nov-17' '23-Sep-20' '15-Aug-18' '20-Jun-17'\n", " '11-Jan-18' '10-Apr-18' '25-Jan-18' '24-May-18' '25-Jun-18' '26-Jun-22'\n", " '18-Jul-18' '23-Feb-18' '21-Jun-17' '13-Apr-20' '16-May-18' '01-Nov-17'\n", " '02-Dec-18' '10-Feb-18' '15-Jan-18' '10-Jan-18' '23-Jan-19' '27-Feb-18'\n", " '10-Feb-20' '12-Mar-18' '12-Sep-20' '03-May-26' '06-Oct-19' '24-Jul-17'\n", " '15-Aug-19' '05-Feb-21' '23-Mar-20' '11-Mar-18' '27-Aug-18' '15-Oct-20'\n", " '14-Oct-20' '17-Oct-17' '11-Oct-18' '23-Jun-19' '18-Mar-18' '02-May-20'\n", " '06-Feb-19' '13-Aug-18' '09-Oct-20' '28-Feb-19' '17-Nov-20' '19-Oct-20'\n", " '12-Aug-18' '21-Apr-20' '25-Jan-19' '04-May-18' '09-Jan-20' '22-May-20'\n", " '25-Aug-19' '06-Dec-19' '29-Aug-18' '26-Jul-20' '21-Apr-19' '02-Sep-18'\n", " '09-Sep-18' '07-Dec-19' '26-Aug-19' '05-Jul-20' '04-Jul-18' '06-Dec-18'\n", " '16-Dec-19' '16-Feb-19' '06-Aug-18' '23-Dec-20' '25-Sep-20' '22-Jul-20'\n", " '22-Jun-19' '01-Jun-19' '08-Jun-18' '25-Jul-18' '23-Apr-19' '11-Dec-18'\n", " '09-Aug-20' '23-Mar-18' '18-Dec-18' '15-Jan-20' '21-Feb-21' '06-Dec-20'\n", " '08-Apr-20' '15-Mar-18' '13-Oct-18' '12-Jun-19' '14-Mar-22' '03-Aug-19'\n", " '04-Jun-24' '27-Jan-21' '07-Feb-20' '09-Feb-18' '04-Oct-19' '26-Oct-18'\n", " '23-Nov-18' '30-Oct-19' '24-Aug-19' '06-Feb-20' '10-Apr-20' '11-Jun-19'\n", " '19-Feb-19' '20-Mar-18' '15-Mar-22' '06-Jul-18' '03-Oct-18' '12-Jul-19'\n", " '16-Nov-19' '24-Sep-18' '11-Apr-19' '08-Nov-19' '29-Jan-19' '11-Jan-20'\n", " '04-Aug-19' '07-Nov-18' '05-Jan-19' '09-Sep-20' '25-Oct-18' '26-Nov-19'\n", " '05-Jul-19' '26-Aug-18' '22-Apr-20' '20-Jun-19' '30-Jun-19' '15-Jul-19'\n", " '25-Mar-20' '15-Jun-18' '06-Mar-20' '28-Aug-18' '27-Aug-20' '01-Dec-19'\n", " '25-Jun-19' '26-Oct-20' '11-Nov-19' '15-Nov-20' '19-Apr-20' '18-Apr-19'\n", " '24-Sep-26' '08-Sep-18' '04-Nov-22' '17-Jul-19' '23-Oct-18' '15-Sep-19'\n", " '30-Jan-20' '25-Aug-18' '27-Sep-18' '10-Aug-20' '25-Oct-19' '13-Feb-21'\n", " '25-Jul-20' '17-Jun-19' '09-Nov-20' '21-Feb-19' '20-Nov-18' '14-Nov-23'\n", " '19-May-22' '25-May-20' '01-Nov-20' '29-Oct-20' '18-Feb-19' '19-Jun-19'\n", " '20-Feb-20' '12-Mar-19' '26-Jan-21' '03-Mar-19' '22-Aug-20' '21-Oct-19'\n", " '18-May-20' '05-Dec-18' '07-Sep-20' '27-Feb-20' '15-Dec-19' '14-Feb-21'\n", " '08-May-20' '17-Oct-19' '02-Jul-19' '13-Jul-19' '22-Sep-19' '17-Dec-18'\n", " '17-Jan-21' '26-May-19' '27-Oct-20' '28-Jul-20' '04-May-20' '28-Jan-21'\n", " '01-Oct-20' '16-Dec-18' '28-Dec-19' '19-Mar-20' '24-Jan-21' '26-Sep-20'\n", " '07-Jan-21' '19-Apr-19' '29-Jun-19' '06-Oct-20' '15-Feb-21' '28-Jan-20'\n", " '02-Dec-20' '08-Feb-21' '26-Jun-19' '25-Feb-20' '27-Mar-20' '16-Feb-21'\n", " '06-Jul-20' '09-May-20' '10-Aug-19' '03-May-19' '30-Jun-20' '03-Feb-20'\n", " '19-May-20' '10-Sep-20' '05-Dec-20' '15-May-19' '25-Dec-20' '04-May-21'\n", " '14-Jul-20' '13-Oct-20' '11-Oct-19' '30-Dec-20' '23-Aug-19' '14-Apr-20'\n", " '17-Dec-19' '11-Mar-20' '03-Feb-21' '15-May-20' '18-Apr-20' '08-Aug-20'\n", " '23-Jan-20' '02-Apr-20' '26-Feb-20' '26-Dec-19' '19-Mar-21' '06-Aug-19'\n", " '29-Jan-20' '09-Feb-20' '04-Mar-21' '18-Mar-20' '26-Jun-20' '22-Feb-21'\n", " '24-Mar-20' '12-Oct-20' '03-Jun-20' '05-Mar-20' '03-Sep-19' '07-Oct-19'\n", " '16-Aug-20' '02-Aug-20' '10-May-20' '28-Sep-20' '27-Jun-20' '10-Dec-20'\n", " '21-Aug-20' '10-Jan-21' '31-May-20' '05-Jan-21' '08-Sep-20' '27-Apr-20'\n", " '19-Jan-21' '07-Nov-20' '09-Feb-21' '01-Feb-21' '24-Mar-21' '22-Jan-21'\n", " '28-Feb-21' '04-Mar-20' '18-Jan-21' '19-Feb-21']\n", "Patient_Status------------------------------------ ['Alive' 'Dead' nan]\n" ] } ], "source": [ "for col in df.select_dtypes(\"object\"):\n", " print(f'{col :-<50} {df[col].unique()}')" ] }, { "cell_type": "markdown", "id": "10c17a86", "metadata": { "papermill": { "duration": 0.033731, "end_time": "2021-08-07T18:29:15.802992", "exception": false, "start_time": "2021-08-07T18:29:15.769261", "status": "completed" }, "tags": [] }, "source": [ "### Comments\n", "There are 3 \"annoying features\" in this categorical set :\n", "\n", "- Date_of_Last_Visit\n", "- Date_of_Surgery\n", "- Patient_ID\n", "\n", "I guess Patient_ID won't help us guess if he survived the cancer or not, so we can drop the feature from the dataset.\n", "\n", "In order to make the work a bit easier, i will also drop the 2 other annoying features so we can first analyze what's left.\n", "\n", "Important : \"ER Status\" & \"PR Status\" only have \"Positive\" or \"NaN\" outputs. Therefore, we can't exploit these features*" ] }, { "cell_type": "code", "execution_count": 9, "id": "18412a15", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:15.881361Z", "iopub.status.busy": "2021-08-07T18:29:15.880476Z", "iopub.status.idle": "2021-08-07T18:29:15.885292Z", "shell.execute_reply": "2021-08-07T18:29:15.884688Z", "shell.execute_reply.started": "2021-08-07T18:23:33.159919Z" }, "papermill": { "duration": 0.048656, "end_time": "2021-08-07T18:29:15.885457", "exception": false, "start_time": "2021-08-07T18:29:15.836801", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Gender-------------------------------------------- ['FEMALE' 'MALE' nan]\n", "Tumour_Stage-------------------------------------- ['III' 'II' 'I' nan]\n", "Histology----------------------------------------- ['Infiltrating Ductal Carcinoma' 'Mucinous Carcinoma'\n", " 'Infiltrating Lobular Carcinoma' nan]\n", "HER2 status--------------------------------------- ['Negative' 'Positive' nan]\n", "Surgery_type-------------------------------------- ['Modified Radical Mastectomy' 'Lumpectomy' 'Other' 'Simple Mastectomy'\n", " nan]\n", "Patient_Status------------------------------------ ['Alive' 'Dead' nan]\n" ] } ], "source": [ "useless_columns = ['Patient_ID','Date_of_Surgery','Date_of_Last_Visit','ER status','PR status']\n", "df = df.drop(useless_columns,axis=1)\n", "for col in df.select_dtypes(\"object\"):\n", " print(f'{col :-<50} {df[col].unique()}')" ] }, { "cell_type": "code", "execution_count": 10, "id": "4e636014", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:15.959468Z", "iopub.status.busy": "2021-08-07T18:29:15.958825Z", "iopub.status.idle": "2021-08-07T18:29:15.962115Z", "shell.execute_reply": "2021-08-07T18:29:15.961670Z", "shell.execute_reply.started": "2021-08-07T18:23:33.176780Z" }, "papermill": { "duration": 0.042322, "end_time": "2021-08-07T18:29:15.962256", "exception": false, "start_time": "2021-08-07T18:29:15.919934", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "X = df.drop('Patient_Status',axis=1)\n", "y = df['Patient_Status']" ] }, { "cell_type": "markdown", "id": "490746c1", "metadata": { "papermill": { "duration": 0.034232, "end_time": "2021-08-07T18:29:16.031007", "exception": false, "start_time": "2021-08-07T18:29:15.996775", "status": "completed" }, "tags": [] }, "source": [ "## Detailed Analysis\n", "\n", "### Quantitative features" ] }, { "cell_type": "code", "execution_count": 11, "id": "b1ed1375", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:16.106146Z", "iopub.status.busy": "2021-08-07T18:29:16.105473Z", "iopub.status.idle": "2021-08-07T18:29:16.108827Z", "shell.execute_reply": "2021-08-07T18:29:16.108139Z", "shell.execute_reply.started": "2021-08-07T18:23:33.190176Z" }, "papermill": { "duration": 0.044002, "end_time": "2021-08-07T18:29:16.109023", "exception": false, "start_time": "2021-08-07T18:29:16.065021", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "aliveDF = df[y == 'Alive']\n", "deadDF = df[y == 'Dead']" ] }, { "cell_type": "code", "execution_count": 12, "id": "78081647", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:16.254515Z", "iopub.status.busy": "2021-08-07T18:29:16.197842Z", "iopub.status.idle": "2021-08-07T18:29:20.026847Z", "shell.execute_reply": "2021-08-07T18:29:20.026297Z", "shell.execute_reply.started": "2021-08-07T18:23:33.206169Z" }, "papermill": { "duration": 3.88297, "end_time": "2021-08-07T18:29:20.026999", "exception": false, "start_time": "2021-08-07T18:29:16.144029", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 540x540 with 30 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(4,4))\n", "sns.pairplot(data,height=1.5)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "id": "7fa124be", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:20.133570Z", "iopub.status.busy": "2021-08-07T18:29:20.130629Z", "iopub.status.idle": "2021-08-07T18:29:20.432993Z", "shell.execute_reply": "2021-08-07T18:29:20.432412Z", "shell.execute_reply.started": "2021-08-07T18:23:37.904170Z" }, "papermill": { "duration": 0.366419, "end_time": "2021-08-07T18:29:20.433142", "exception": false, "start_time": "2021-08-07T18:29:20.066723", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 576x432 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "corr = df.corr(method='pearson')\n", "\n", "fig = plt.figure(figsize=(8,6))\n", "sns.heatmap(corr, annot=True, cmap='tab10', vmin=-1, vmax=+1)\n", "plt.title('Pearson Correlation')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "id": "df69810c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:20.688935Z", "iopub.status.busy": "2021-08-07T18:29:20.679687Z", "iopub.status.idle": "2021-08-07T18:29:21.769772Z", "shell.execute_reply": "2021-08-07T18:29:21.768476Z", "shell.execute_reply.started": "2021-08-07T18:23:38.268910Z" }, "papermill": { "duration": 1.296399, "end_time": "2021-08-07T18:29:21.769932", "exception": false, "start_time": "2021-08-07T18:29:20.473533", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 288x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 288x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 288x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 288x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 288x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for col in df.select_dtypes(include=['float64','int64']):\n", " plt.figure(figsize=(4,4))\n", " sns.distplot(aliveDF[col],label='Alive')\n", " sns.distplot(deadDF[col],label='Dead')\n", " plt.legend()\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "c88f6971", "metadata": { "papermill": { "duration": 0.046702, "end_time": "2021-08-07T18:29:21.861631", "exception": false, "start_time": "2021-08-07T18:29:21.814929", "status": "completed" }, "tags": [] }, "source": [ "#### Comments\n", "\n", "There seems to be no big difference between Alive and Dead patients according to quantitative features.\n", "Let's double check on \"Protein 2\" feature :" ] }, { "cell_type": "code", "execution_count": 15, "id": "f214ade0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:21.988924Z", "iopub.status.busy": "2021-08-07T18:29:21.975409Z", "iopub.status.idle": "2021-08-07T18:29:25.112151Z", "shell.execute_reply": "2021-08-07T18:29:25.111585Z", "shell.execute_reply.started": "2021-08-07T18:23:39.819351Z" }, "papermill": { "duration": 3.205383, "end_time": "2021-08-07T18:29:25.112294", "exception": false, "start_time": "2021-08-07T18:29:21.906911", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 439.5x360 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 439.5x360 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 439.5x360 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 439.5x360 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "<Figure size 288x288 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 439.5x360 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for col in X.select_dtypes(include=['float64','int64']):\n", " plt.figure(figsize=(4,4))\n", " sns.lmplot(x='Protein2', y=col, hue='Patient_Status', data=df)" ] }, { "cell_type": "markdown", "id": "4c8feabd", "metadata": { "papermill": { "duration": 0.051719, "end_time": "2021-08-07T18:29:25.217539", "exception": false, "start_time": "2021-08-07T18:29:25.165820", "status": "completed" }, "tags": [] }, "source": [ "#### Categorical features" ] }, { "cell_type": "code", "execution_count": 16, "id": "68aa8777", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:25.330058Z", "iopub.status.busy": "2021-08-07T18:29:25.329394Z", "iopub.status.idle": "2021-08-07T18:29:25.820128Z", "shell.execute_reply": "2021-08-07T18:29:25.819615Z", "shell.execute_reply.started": "2021-08-07T18:23:43.539123Z" }, "papermill": { "duration": 0.550481, "end_time": "2021-08-07T18:29:25.820268", "exception": false, "start_time": "2021-08-07T18:29:25.269787", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for col in df.select_dtypes(\"object\"):\n", " plt.figure()\n", " df[col].value_counts().plot.pie()\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "id": "6007f602", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:26.114565Z", "iopub.status.busy": "2021-08-07T18:29:26.113587Z", "iopub.status.idle": "2021-08-07T18:29:27.286080Z", "shell.execute_reply": "2021-08-07T18:29:27.286521Z", "shell.execute_reply.started": "2021-08-07T18:23:44.140338Z" }, "papermill": { "duration": 1.409475, "end_time": "2021-08-07T18:29:27.286708", "exception": false, "start_time": "2021-08-07T18:29:25.877233", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for col in X.select_dtypes(include=['object']):\n", " plt.figure()\n", " sns.heatmap(pd.crosstab(df[col],df['Patient_Status']),annot=True,fmt='d')\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "33667145", "metadata": { "papermill": { "duration": 0.058788, "end_time": "2021-08-07T18:29:27.405675", "exception": false, "start_time": "2021-08-07T18:29:27.346887", "status": "completed" }, "tags": [] }, "source": [ "#### Comments\n", "\n", "This dataset is based on nearly 99% of women\n", "\n", "We can't show all features on a graph because of their format (string) : we need to do some changes in the dataset format. This will allow us to compare quantitative and categorical features together." ] }, { "cell_type": "markdown", "id": "df4fb8fd", "metadata": { "papermill": { "duration": 0.058943, "end_time": "2021-08-07T18:29:27.523725", "exception": false, "start_time": "2021-08-07T18:29:27.464782", "status": "completed" }, "tags": [] }, "source": [ "# A bit of data engineering ..." ] }, { "cell_type": "code", "execution_count": 18, "id": "19c2d1c2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:27.644900Z", "iopub.status.busy": "2021-08-07T18:29:27.644256Z", "iopub.status.idle": "2021-08-07T18:29:27.662842Z", "shell.execute_reply": "2021-08-07T18:29:27.663245Z", "shell.execute_reply.started": "2021-08-07T18:23:45.768696Z" }, "papermill": { "duration": 0.080375, "end_time": "2021-08-07T18:29:27.663413", "exception": false, "start_time": "2021-08-07T18:29:27.583038", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Patient_ID</th>\n", " <th>Age</th>\n", " <th>Gender</th>\n", " <th>Protein1</th>\n", " <th>Protein2</th>\n", " <th>Protein3</th>\n", " <th>Protein4</th>\n", " <th>Tumour_Stage</th>\n", " <th>Histology</th>\n", " <th>ER status</th>\n", " <th>PR status</th>\n", " <th>HER2 status</th>\n", " <th>Surgery_type</th>\n", " <th>Date_of_Surgery</th>\n", " <th>Date_of_Last_Visit</th>\n", " <th>Patient_Status</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>TCGA-D8-A1XD</td>\n", " <td>36.0</td>\n", " <td>FEMALE</td>\n", " <td>0.080353</td>\n", " <td>0.42638</td>\n", " <td>0.54715</td>\n", " <td>0.273680</td>\n", " <td>III</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Modified Radical Mastectomy</td>\n", " <td>15-Jan-17</td>\n", " <td>19-Jun-17</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>TCGA-EW-A1OX</td>\n", " <td>43.0</td>\n", " <td>FEMALE</td>\n", " <td>-0.420320</td>\n", " <td>0.57807</td>\n", " <td>0.61447</td>\n", " <td>-0.031505</td>\n", " <td>II</td>\n", " <td>Mucinous Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Lumpectomy</td>\n", " <td>26-Apr-17</td>\n", " <td>09-Nov-18</td>\n", " <td>Dead</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>TCGA-A8-A079</td>\n", " <td>69.0</td>\n", " <td>FEMALE</td>\n", " <td>0.213980</td>\n", " <td>1.31140</td>\n", " <td>-0.32747</td>\n", " <td>-0.234260</td>\n", " <td>III</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Other</td>\n", " <td>08-Sep-17</td>\n", " <td>09-Jun-18</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>TCGA-D8-A1XR</td>\n", " <td>56.0</td>\n", " <td>FEMALE</td>\n", " <td>0.345090</td>\n", " <td>-0.21147</td>\n", " <td>-0.19304</td>\n", " <td>0.124270</td>\n", " <td>II</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Modified Radical Mastectomy</td>\n", " <td>25-Jan-17</td>\n", " <td>12-Jul-17</td>\n", " <td>Alive</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>TCGA-BH-A0BF</td>\n", " <td>56.0</td>\n", " <td>FEMALE</td>\n", " <td>0.221550</td>\n", " <td>1.90680</td>\n", " <td>0.52045</td>\n", " <td>-0.311990</td>\n", " <td>II</td>\n", " <td>Infiltrating Ductal Carcinoma</td>\n", " <td>Positive</td>\n", " <td>Positive</td>\n", " <td>Negative</td>\n", " <td>Other</td>\n", " <td>06-May-17</td>\n", " <td>27-Jun-19</td>\n", " <td>Dead</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Patient_ID Age Gender Protein1 Protein2 Protein3 Protein4 \\\n", "0 TCGA-D8-A1XD 36.0 FEMALE 0.080353 0.42638 0.54715 0.273680 \n", "1 TCGA-EW-A1OX 43.0 FEMALE -0.420320 0.57807 0.61447 -0.031505 \n", "2 TCGA-A8-A079 69.0 FEMALE 0.213980 1.31140 -0.32747 -0.234260 \n", "3 TCGA-D8-A1XR 56.0 FEMALE 0.345090 -0.21147 -0.19304 0.124270 \n", "4 TCGA-BH-A0BF 56.0 FEMALE 0.221550 1.90680 0.52045 -0.311990 \n", "\n", " Tumour_Stage Histology ER status PR status HER2 status \\\n", "0 III Infiltrating Ductal Carcinoma Positive Positive Negative \n", "1 II Mucinous Carcinoma Positive Positive Negative \n", "2 III Infiltrating Ductal Carcinoma Positive Positive Negative \n", "3 II Infiltrating Ductal Carcinoma Positive Positive Negative \n", "4 II Infiltrating Ductal Carcinoma Positive Positive Negative \n", "\n", " Surgery_type Date_of_Surgery Date_of_Last_Visit \\\n", "0 Modified Radical Mastectomy 15-Jan-17 19-Jun-17 \n", "1 Lumpectomy 26-Apr-17 09-Nov-18 \n", "2 Other 08-Sep-17 09-Jun-18 \n", "3 Modified Radical Mastectomy 25-Jan-17 12-Jul-17 \n", "4 Other 06-May-17 27-Jun-19 \n", "\n", " Patient_Status \n", "0 Alive \n", "1 Dead \n", "2 Alive \n", "3 Alive \n", "4 Dead " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = data.copy()\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 19, "id": "0f3e2f03", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:27.785320Z", "iopub.status.busy": "2021-08-07T18:29:27.784719Z", "iopub.status.idle": "2021-08-07T18:29:27.790854Z", "shell.execute_reply": "2021-08-07T18:29:27.791296Z", "shell.execute_reply.started": "2021-08-07T18:23:45.796966Z" }, "papermill": { "duration": 0.068896, "end_time": "2021-08-07T18:29:27.791501", "exception": false, "start_time": "2021-08-07T18:29:27.722605", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def encoding(df):\n", " code = {'FEMALE':1,\n", " 'MALE':0,\n", " 'III':3,\n", " 'II':2,\n", " 'I':1,\n", " 'Infiltrating Ductal Carcinoma':0,\n", " 'Mucinous Carcinoma':1,\n", " 'Infiltrating Lobular Carcinoma':2,\n", " 'Negative':0,\n", " 'Positive':1,\n", " 'Modified Radical Mastectomy':0,\n", " 'Lumpectomy':1,\n", " 'Other':2,\n", " 'Simple Mastectomy':3,\n", " 'Alive':1,\n", " 'Dead':0\n", " }\n", " for col in df.select_dtypes('object'):\n", " df.loc[:,col]=df[col].map(code)\n", " \n", " return df\n", "\n", "def imputation(df):\n", " \n", " df = df.dropna(axis=0)\n", " \n", " return df\n", "\n", "def feature_engineering(df):\n", " useless_columns = ['Patient_ID','Date_of_Surgery','Date_of_Last_Visit','ER status','PR status']\n", " df = df.drop(useless_columns,axis=1)\n", " return df" ] }, { "cell_type": "code", "execution_count": 20, "id": "0cc8767c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:27.916542Z", "iopub.status.busy": "2021-08-07T18:29:27.915565Z", "iopub.status.idle": "2021-08-07T18:29:27.918706Z", "shell.execute_reply": "2021-08-07T18:29:27.918203Z", "shell.execute_reply.started": "2021-08-07T18:23:45.811852Z" }, "papermill": { "duration": 0.067879, "end_time": "2021-08-07T18:29:27.918935", "exception": false, "start_time": "2021-08-07T18:29:27.851056", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def preprocessing(df):\n", " df = encoding(df)\n", " df = feature_engineering(df)\n", " df = imputation(df)\n", " \n", " X = df.drop('Patient_Status',axis=1)\n", " y = df['Patient_Status'] \n", " \n", " return df,X,y" ] }, { "cell_type": "code", "execution_count": 21, "id": "e300d3cc", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:28.075840Z", "iopub.status.busy": "2021-08-07T18:29:28.055949Z", "iopub.status.idle": "2021-08-07T18:29:28.080134Z", "shell.execute_reply": "2021-08-07T18:29:28.079539Z", "shell.execute_reply.started": "2021-08-07T18:23:45.828996Z" }, "papermill": { "duration": 0.100806, "end_time": "2021-08-07T18:29:28.080284", "exception": false, "start_time": "2021-08-07T18:29:27.979478", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Age</th>\n", " <th>Gender</th>\n", " <th>Protein1</th>\n", " <th>Protein2</th>\n", " <th>Protein3</th>\n", " <th>Protein4</th>\n", " <th>Tumour_Stage</th>\n", " <th>Histology</th>\n", " <th>HER2 status</th>\n", " <th>Surgery_type</th>\n", " <th>Patient_Status</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>36.0</td>\n", " <td>1.0</td>\n", " <td>0.080353</td>\n", " <td>0.42638</td>\n", " <td>0.54715</td>\n", " <td>0.273680</td>\n", " <td>3.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>43.0</td>\n", " <td>1.0</td>\n", " <td>-0.420320</td>\n", " <td>0.57807</td>\n", " <td>0.61447</td>\n", " <td>-0.031505</td>\n", " <td>2.0</td>\n", " <td>1.0</td>\n", " <td>0.0</td>\n", " <td>1.0</td>\n", " <td>0.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>69.0</td>\n", " <td>1.0</td>\n", " <td>0.213980</td>\n", " <td>1.31140</td>\n", " <td>-0.32747</td>\n", " <td>-0.234260</td>\n", " <td>3.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>2.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>56.0</td>\n", " <td>1.0</td>\n", " <td>0.345090</td>\n", " <td>-0.21147</td>\n", " <td>-0.19304</td>\n", " <td>0.124270</td>\n", " <td>2.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>56.0</td>\n", " <td>1.0</td>\n", " <td>0.221550</td>\n", " <td>1.90680</td>\n", " <td>0.52045</td>\n", " <td>-0.311990</td>\n", " <td>2.0</td>\n", " <td>0.0</td>\n", " <td>0.0</td>\n", " <td>2.0</td>\n", " <td>0.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Age Gender Protein1 Protein2 Protein3 Protein4 Tumour_Stage \\\n", "0 36.0 1.0 0.080353 0.42638 0.54715 0.273680 3.0 \n", "1 43.0 1.0 -0.420320 0.57807 0.61447 -0.031505 2.0 \n", "2 69.0 1.0 0.213980 1.31140 -0.32747 -0.234260 3.0 \n", "3 56.0 1.0 0.345090 -0.21147 -0.19304 0.124270 2.0 \n", "4 56.0 1.0 0.221550 1.90680 0.52045 -0.311990 2.0 \n", "\n", " Histology HER2 status Surgery_type Patient_Status \n", "0 0.0 0.0 0.0 1.0 \n", "1 1.0 0.0 1.0 0.0 \n", "2 0.0 0.0 2.0 1.0 \n", "3 0.0 0.0 0.0 1.0 \n", "4 0.0 0.0 2.0 0.0 " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df,_,_ = preprocessing(df)\n", "df.head()" ] }, { "cell_type": "markdown", "id": "cfa96b09", "metadata": { "papermill": { "duration": 0.061195, "end_time": "2021-08-07T18:29:28.201410", "exception": false, "start_time": "2021-08-07T18:29:28.140215", "status": "completed" }, "tags": [] }, "source": [ "### Comments\n", "We can now analyze categorical features as quantitative features" ] }, { "cell_type": "code", "execution_count": 22, "id": "27a2392a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:28.328903Z", "iopub.status.busy": "2021-08-07T18:29:28.327745Z", "iopub.status.idle": "2021-08-07T18:29:28.336455Z", "shell.execute_reply": "2021-08-07T18:29:28.336995Z", "shell.execute_reply.started": "2021-08-07T18:23:45.877330Z" }, "papermill": { "duration": 0.073572, "end_time": "2021-08-07T18:29:28.337173", "exception": false, "start_time": "2021-08-07T18:29:28.263601", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Protein2 -0.083065\n", "Protein4 -0.079616\n", "Tumour_Stage -0.052939\n", "Protein3 -0.030681\n", "Age -0.010881\n", "Surgery_type -0.007233\n", "Gender 0.012339\n", "Histology 0.014092\n", "Protein1 0.016385\n", "HER2 status 0.052773\n", "Patient_Status 1.000000\n", "Name: Patient_Status, dtype: float64" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.corr()['Patient_Status'].sort_values()" ] }, { "cell_type": "code", "execution_count": 23, "id": "949dd7ef", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:28.464280Z", "iopub.status.busy": "2021-08-07T18:29:28.462261Z", "iopub.status.idle": "2021-08-07T18:29:28.834725Z", "shell.execute_reply": "2021-08-07T18:29:28.834086Z", "shell.execute_reply.started": "2021-08-07T18:23:45.888119Z" }, "papermill": { "duration": 0.436656, "end_time": "2021-08-07T18:29:28.834903", "exception": false, "start_time": "2021-08-07T18:29:28.398247", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.heatmap(df.corr())" ] }, { "cell_type": "code", "execution_count": 24, "id": "dbda37b2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:28.981611Z", "iopub.status.busy": "2021-08-07T18:29:28.980908Z", "iopub.status.idle": "2021-08-07T18:29:51.910553Z", "shell.execute_reply": "2021-08-07T18:29:51.911023Z", "shell.execute_reply.started": "2021-08-07T18:23:46.334578Z" }, "papermill": { "duration": 23.014662, "end_time": "2021-08-07T18:29:51.911188", "exception": false, "start_time": "2021-08-07T18:29:28.896526", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.PairGrid at 0x7f6ceba71910>" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAACRwAAAkcCAYAAACc2KTCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOy9e3wb13nn/RsAxJXEhSAJgqRI6kIrEi+yZFl23rXcRkpdJ9Wt8iVNW6dx7KrdbSK53t24+65tVbL23TjdurWadNs4bhy7bSonSi3LdVy3lncdt7ZiObYo0Y4l60KZJAjeARIkAAKY9w9qIFzOAANgMAAGz/fz4UciiJnzzDnP85wzB4Pnx/E8D4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCCloSm0AQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRCVAz1wRBAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRCEZOiBI4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgJEMPHBEEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEIRl64IggCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCMmo8oGj22+/nQdAP/RDP8k/WaHYoR/6Ef3JCMUO/dCP6E9WKH7oh35EfzJCsUM/9CP6kxWKH/qhH9GfjFDs0A/9iP5kheKHfuiH+ZMVih36oR/Rn4xQ7NAP/Yj+ZIXih37oR/SHiSofOJqYmCi1CQRRkVDsEER+UOwQRP5Q/BBEflDsEET+UPwQRH5Q7BBE/lD8EER+UOwQRH5Q7BBE/lD8EERuqPKBI4IgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgigM9cEQQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQhGTogSOCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCICRDDxwRBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBCEZXakNSITjuH0AfhcAB+Apnuf/nOO4egBHAHQCuAzgbp7np0tmJEEQBKEKYjEelycD8PqDcFmN6HRaoNFwpTZLEar52glCTVAsE0TpoTgkKgXyVYIgiNxQMm9SjiaI/KDYIYj8oNghCIIgBOSYE8rmgSOO43qw9LDRJgBhAK9wHPcSgD0AXuN5/hscx/0RgD8C8FDpLCUIgiAqnViMxysDo3jw+fcRXIzBWKPBE3dfj9u7m1V/c1XN104QaoJimSBKD8UhUSmQrxIEQeSGknmTcjRB5AfFDkHkB8UOQRAEISDXnFBOkmprAJzkeX6e5/kIgP8LYDeAnQC+f/U93wewqzTmEQRBEGrh8mQgPoECQHAxhgeffx+XJwMltqz4VPO1E4SaoFgmiNJDcUhUCuSrBEEQuaFk3qQcTRD5QbFDEPlBsUMQBEEIyDUnlNMDR2cBbOY4zslxnBnA5wEsA+Died5z9T2jAFysgzmO28Nx3CmO406Nj48rYzFBqACKHaIa8fqD8QlUILgYw9hsUPI5KjV25Lj2ciYW43FxfA5vXZjAxfE5xGJ8qU0iGJRb/FSi36g9lgk25RY7lYwccU9xWFlUc/yQr8pLJa4bCkFq7FRbvxDqRq68KSV+KEcTRDoUOwSRHxQ7hACtzXOnmvcMiOpFrjmhbCTVeJ7/kOO4xwG8CiAA4H0A0ZT38BzHMbMiz/PfAfAdANi4cSNlToKQCMUOUY001RlhrNEkTaTGGg0aa42Sz1GpseOysq+9qU76tZcrVBK4ciin+KlUv1FzLBPilFPsVDJyxT3FYWVRzfFDvioflbpuKAQpsVON/UKoG7nyppT4kWN/giDUBsUOQeSHlNihewP1Q2vz/KjmPQOiepFrPVVOFY7A8/zTPM/fwPP8rQCmAZwD4OU4zg0AV/8dK6WNBEEQROWj1QD7tnbBWLM0DRprNNi3tQvaspoVi0On04In7r4+6dqfuPt6dDotJbascKgkMJEPleo3ao5lgig2csU9xSFRKZCvykelrhuKDfULoTaUzJvVvD9BEIVAsUMQ+UH3BuqH1uYEQUhFrvVU2VQ4AgCO45p4nh/jOK4dwG4ANwNYDuB3AHzj6r/HSmgiQRAEoQI8viB+dnESf33PDZgOLKLeUoPvvXkJ69vt6GyoLbV5RUWj4XB7dzM+tXczxmaDaKozotNpKYtvN8RiPC5PBuD1B+Gy5m5XpvKPKxoLG9dCbSPKl2L6Tb5I8TelYpl8n5CLcvIlueJeLA4B4OL4XFlcK0EAuc8Z5RSv+VBM+8tx3VAOUL8oSyQSw4DHB48vCLfNhG63FTodfcIuJ0reN1fz/gRBFALFDkHkh0bD4bY1LhzZc3PSWqKS1vtEZqpxba7kPWyl3y8TRCIeXxA/OePBN+9ch4VQBGaDDk+9cSHn9VRZPXAE4CjHcU4AiwD+gOf5GY7jvgHgeY7j7gMwCODuklpIEARBVDwtdiNu63Hj9557N15WdP/2brht1VE6VqPhsKKxtqxuMOQo9VqsksBUhlbdlFsp6Vz8rdixTL5PyEW5+ZKccZ8ah+V2rQQhIHXOqHQfLrb95bZuKBeoX5QjEonhhdPDePiFs3EfP7SrB7vWtdJDRzKj1H1zte9PEES+UOwQRH7EYjxe/dBbset9IjvVtjZX8h620u+XCSIVt82Iz/W68fUfnY779L6tXWi2Vrak2mae59fyPL+O5/nXrr42yfP8Vp7nu3ie/yzP81OltpMgCIKobGYCizhwfCCprOiB4wOYCSyW2LLqRY5Sr8UqCUxlaNVNuZWSLid/KydbiMqm3HypmHFfbtdKELlS6T5cbPvLbd1QLlC/KMeAxxd/2AhY8vGHXziLAY+vxJYR+UL7EwSRHxQ7BJEflb7eJ7JTbWtzJX2a4odQG9EY8ORr55N8+snXziMay3JgCuVW4YggCIIgio5HpKzoqD+IdSWyqdqRo9SrlLL3+ZQ8VaIMLZViLR3lJjNYTv5WLiWYKT4qn3x9KdPYF+IXxYz7cokbgsiXQn241Dm72DFY7HVDqfsvX9KlOYzodtsqwvZKw+MTuZf1BbFuWYmMIgqC9icIIj8odggiP+ieVf2U215nsVHSpyl+CLUxNsv26fG5IFY2Va6kGkEQBEEUHbfNxCwr6sqxTCAhH3KVes1U9j7fkqfFLkNLpVhLTznJDJaTv5VDCWaKD3WQjy9lGnsABftFseK+HOKGIAqhEB8uh5ytRAwWK3+UQ//lC0lzKIfYvWyuJe+J8oH2JwgiPyh2CCI/6J61Oiinvc5i01RrYPp0g8Ugf1t17PhprKX4ISoTuXy6rCTVCIIgCEIJ9Dpg//bupLKi+7d3w1BDm+GlQolSr/mWPC22bVSKlUiknPytHEowU3yog3x8KdPYl7NflEPcEEQhFOLD5RCblRyD5dB/+VLJtlcadrOOeS9rt9SU2DIiX2h/giDyg2KHIPKjktfLBMFiIRLFvq1dST69b2sXgpGo7G1pNWC2paWnLYgKRS6fpgpHBEEQRNUxOLmAH5wcxDfvXIeFcAQmvQ7ffeMC6s2rsMZtL7V5VYkSpV7zLXlabNuoFCuRSDn5WzmUYKb4UAf5+FKmsed5lK1flEPcEEQhFOLD5ZCzKzkGy6H/8qWSba80RmaCzHvZ5Q1mdDiprysR2p8giPyg2CGI/Kjk9TJBsBiaXsCzbw3ivltWgOMAngeefWsQKxos6Gm1y9qWxxdktrW+3Y7OBlqLE5WHXD5NDxwRBEEQVYfbZsK5sTns/cF78deMNRo026j0ZSkpdqnXQkoGF9M2KmVMpFJO/lbqEswUH+ohV1/KNvbl7BeljhuCKJR8fbhccnalxmC59F8+VLLtlYbLamTey1JfVy60P0EQ+UGxQxD5U6nrZYJg4baZMD0fxrdf/zj+WrHmA5fVyGyL1uJEpSKXT1ORL4IgCKLq6HZbcWhXT1KZwEO7etDttpXYMqKYlGvJ4HK1i1AnleZvlWYvIR+Zxp78giDKE4rNwqjk/qtk2ysN6mv1QfsTBJEfFDsEQRAEoOx8QGtxQm3I5dMcz/PFsK+kbNy4kT916lSpzSCIciNrTUyKHaKamF8I4+zoLLz+EFxWA3qa62A26cXenjF+KHYqh1iMx+XJQNFKBkciMQx4fPD4gnDbTOh2W6HTaeLtev1BuKzp7Qp/nwqEUKPVYD4cZb6vAqG5JwFhnCcDIegZ45zNT+S2Q4nS2XJck5L2lhkVN/fI7cOZxj6bX2SyRalYk5NKtLmE0NwjI7n6nhw5uxB/lytWShVzZTDn5T33iK2DCfkJh6PoH/Fh1B+E22pEb4sNer221GapjhzzQEFzz8LCIs6M+uP7E73NVphMNQVYT7Cg9VRZQrFDEAnIOffQui2ZapsDqu16BZ8e9QXRbDOi223L5NMFzT1lcM9GELKS43qK6ewkqUYQBEFUHcFgBC+d9eLRF88iuBiDsUaDgzt6sKPXDaORpkY1U8ySwZFIDC+cHsbDL1zzq0O7erCjtwX/+tEYHnz+/fjrT9x9PW7vbo7fjGg0HDqdFvxidDbj+4jKJRbj8crAKB5/5UN8YWM7Dp84nzTOt61x4dUPvYqMv1Kls4VrLvSaqNR3ZSDXeCeSaewz/S2TLQBkt7PYFKNvCUIK+fheoTm7EH+XK1ZKGXOVOufFYrxi65hqJxKJ4cUzI2n3HLvWtar+g0IlUTIPhMNRHB8YxaPHEvYndvZgV18LPUgmI7SeUh8UO4TaUCpPie1fqnktUW1zQLVdLwDodBqsW+bAumXFb6tS79kIgkUwGMHxs6MFf1aqztmDIAiCIDJwxuOLT6AAEFyM4dEXz+KMx1diy4hKZsDji9+sA0t+9fALZ9E/4ovf4AmvP/j8+7g8GUg6/vJkQNL7iMpEGN9tfa3xh42Aa+M84JHmJ5UE+XR1UU7jncmWcrJTKpVoM6EOSuF7hbQpl70Uc7lDfaYcYvccA3QvKytK+nT/iC/+wITQ1qPHlu4jCfmgPKU+KHYItaFUnqrGtUS1zQHVdr0EQeSPXJ+VUhkHgiAkUW0lGAl1M+oPwWHWY/eGNnBX3fjou0Pw+kOlNYyQBblkdHLNex5fML4wEwguxjDqZ78+NhtM+iaEV+R9U4FQ/O+UfysXYXw5DsxxFvOfVD+Ri2LL1QjvyeWaaK1R2YjlsHPeWQCQPJ5y+IGYLWOzQfA8Owaz2VlK/8x0PfSNOqKYlML3xNocnAxAwy2tt8RiUA57YzEe47Mh3L95BYClewRhji7mdVf6HEh5Sjk8viDzXnbUF1TkG93VgpI+LXa/6PUHZW2n2qE8pRxKzWmjfnY+pNghKhWl8pTo/qWK1xJekXyh1jmg2q4XUPZ+qtLv3QgiEbk+K6UHjgiCyEo1lmAk1E27w4QvfboDT752TdJo39YutDlMpTaNKBC5ZHTyyXtumwnGGk3STbuxRoNmq5H5elOdMel4F+N9HU4ThmeC+O2nf0b5t8IRxhcA0x/cNml+IgfFlqsR3vPRqF/yNdFao/Jh5TBjjQZnhv144Mj7ksZTLj8Qs0XwvVztLLV/ZrsegigWpfA9sTbf+2QGvxidxbNvDWJ6PsyMwULtZcX63i1deO7tpTaLdd2lzjFyQHlKOZaJ3Mu20r2srDTVsX26sVZ+n24RuQ9otlL8yAnlKWVQck4Ty4dtdsqHRGWiVJ7KtH+pVtw2IzNfqPWaq+16lZx71HDvRhCJyPVZKUmqEQSRFSrBSKiNKM/HJ1BgyaeffO08YjxfYsuIQpFLRiefvNfttuLQrp6kh0oO7epBX4sNT9x9fdLrT9x9PTqdlqTjO52WtPc9trMXDx3tp/yrAoTxPX56GHu3dKX5Q7dbmp/IQbHlaoT3PH9qiHmtrGuitUblw8phe7d04cc/H5I8nnL5AcsWwffysbPU/pnpegiimJTC98Ri9IenhvDka+exe0ObaAwWai8r1g+fOI+7NrYV9bpLnWPkgPKUcoQiMea9bDgSy3IkkQtaDbBva/I6dt/WLmiLsJOu1XDMtnRa+tBKTihPKYOSc9pilL23txijvT2iMlEqT9nNOuzf3p3Uzv7t3bBbamRtp5yIxsDMF1GVLp+q7XqVnHvUcO9GEInI9VkpVTgiCCIrVHaYUBsjIqVjPT75yy5TiU35ydSn+cjosHJZPnlPp9Ng17pWdDXVYtQXRLPNiG63DTqdBrd3N+NTezdjbDaIpjq2H2g0XNr7KP+WHrliOD6+zXWYCoRwZM/NmA9Hk84pxU/koBC/mgyEcN8tK5JKrHp8waRjhfN7fEE89/Zg/P2bVzXgxs565jWRr1c+iT58zjuLM8N+PPf2YHxulTKecvlBajw11hqh1QAnL03CZTXitjUuvJyDnVL8vpgomR8I5aiENWIpfE9o03nvJvz04wnwPJJiVIhDVqwWaq9YDupttaHWoMPlyUBRrl8Nc6BGw+G2NS4c2XMzPL4g3DYTut3WsvNpNaDkvWw14/EF8ZMzHnzzznVYCEVgNujw1BsXsL7djs4GeePyk+mFa22FIzDrl9pqrzdj3TKHrG1VM7SeUgYl57RMslAEUYkotZ4amQniBycH4/OOSa/Dd9+4gOUNZnQ4K2PtmStjs+x8MT4XxMom9V1ztV2vknOPGu7dCCIRue4v6YEjgiCyQmWHCbXRYmf7tNsmr09TiU35ydan+cjosHJZvnlPp9Ng3TJHmua5RsNhRWNt1hsP1vso/5YOuWM4mx9I9ZNCyde/YzEeIzNBPP3mxSSpmSOnriQdm3h+jy+Ib7/+MYw1Guxe3yrab7TWUAeCDwPAA0fez3k85fQDwZZOpyWj1GY2O6X6fbFRKj8QylBJa8RS+J5Gw6GxzoDv/vRiWnwKX7ITyw2F2CsuDenD4dc+Lto4qWEOjMV4vPqhtyJ8utJxi/iLS6USGaXCbTPic71ufP1Hp4suRbLMYWK2RZLv8kPrqeKj5JwmKkco894eQSiFUuspl9WIc2Nz2PuD9+KvVdraM1fUsN7OhaZaA/N6GyyGElpVPJQc32rzJUL9yPVZKUmqEQSRFSo7TKgNvVbDLFmu18k7LVKJTfnJ1qe5yuiI5bJyyXvlYke1otYYztevLk8G0iT+Dp84j8d29iYdm8/5ydfVRb7jWQw/yBTHUtqT6vcEkQtqnV/khBWf+7YuyR8Wa44Qa/OHp4YAFG+c1DAHkk8rR2+LDQd3Jss4H9y5JONMyIeiUiQ8uy2QKhRRgSg5p9nNNcy9PYdZvbJQhLpRaj2lhrVnrlTbNS9Eosz8GIxES2xZcVByfKvNlwj1I9dnpVThiCCIrFDZYUJtDCWWLE8oj76iwYKeVrts7VRLiU0lJUGy9Wm2fCU1lymV97L1HeVfecnVV9Uaw/n6VWp/uG1G7N7QhvlwJElmJp/zk6+rC7HxBICL43OK5rxscZytPbHja7ScbP5ZCdJahLyU8/xSLv4oJo24vt0uKTfkcx2pbXLg8MCR95NKiRdjnNQwB5azT6sNvV6LHT1uLHeaMeoPodlqQK/bBr1eW2rTVIWSUiQefxAOsx67N7QlybeO+oNYJ2tLBFF8lJzTxmZDotKHK5vqZG+PIIqNUuspNaw9c6Xarlmpzz7KBSXHl6SkCbUhV76gB44IgpAElR0m1ESbSMnyVru8JcurocSm0pIgUvo0U77KJZcVO+9J7TvKv/KQj6+qOYbz8avE/nDbjLjn5g4cPnGe2Z/5nJ98XV2kjmepcl62OM7WntjxcknXVJK0FiEf5Tq/lJs/suKzsyF7bijkOhLbvDg+h+n5cNLfizVOlT4HNtWxfbqxtvLXTOVGLMbjxPnxsolTtaJknm5zmPClT3fEqxwVa3+CIJRCqTmt2cqWPnSp4H6dqE6UnHsqfe2ZD9V0zUp99lFOKDW+JCVNqA3RfJGjvDNJqhEEQRBVR4znmSXLYzLXLK+GEptKyyeoqU9JekJZ8ulvNfmbHCT2x+4NbfGHjQDyXyI7pcp5hcZxsfMAzQXVSbnOL2rxR7muo1zHqRzRasAsw66lXUfZUUucljtKxr9S+xMEoTZmg4vM2JkNLpbYMoLID1p7EnJBa4viQWtxQm0YdVpmvjDqcqugSxWOCIIgiKpjZIZdotYzE0Rfm3ztVEO5VqXlE9TUp1L6rlxkTdRAPr6qJn+Tg8T+OOedzSv2yaerF7EY9PqLK7dTaBwXOw+QDFF1Um7zi5Cb883t5YZccVVu41TOeHxBPPvWIO67ZQU4DuB54Nm3BrG+3S6pKhUhHZo3lEHJ+Fdqf4IglEKpe74Rn0js+ILoWyZ7cwRRdGjtScgFrS2KB63FCbUxPhdi+vREIIRVkC5RSw8cEQRBEFWH22ZilqhtlkkeJRG1l2sthSSIWvo0W9+Vm6xJpZOvr6rF3+RC6A8AOfcn+XR1IxaDi1EesRhfVB8oNI6LmQfKVVqLKD7lMr8k5ub7N69QhT/KGVflMk7ljstqxPR8GN9+/eP4a5XoO5UAydcph1LxL7o/YaMxJSoPJe/5lNzbIwiloLUnIQeUH4sH7eEQakOu+0sqbkwQBEFUHXazDvu3dyeVqN2/vRt2S02JLas8qNxv/mTrOyrRKi/kq/KST3+ST1c3nU4LHr+jL8ln9m7pwiPHzlS1D1BuIkpNYm4++u4Q9m7pqnh/pLhSHupz5SD5OvXR7bbi0K6epDE9tKsH3W5biS0jiNxR8p6P9vYIgiDYUH4sHnTfQ6gNue4vy6rCEcdxfwjgfgA8gDMA7gXgBvAPAJwA3gVwD8/z4ZIZSRAEQVQ8IzNBnPPM4Jl7N2H8aonaV84MY3mDGR1O+gZJLpRDud98y3UXu8x3tvNn6zsq0Sov5eCrSqFECft8+rNQny7kukjKLT/k7DeNhkOL3Zgkt/Pc24Pw+IIZfUCJsSulf1RTbiLKk8Tc7PEF8dzbS7JYfa1WdLnqytofM8XuWncdvn/vJsyHI2ivt2B5Q+broHmiMDQaDretceHInpvh8QXhtpnQ7bZSHxYBjy+In5zx4Jt3rsNCOAKzXoen3rhA8nVFQKm8oNNp8Gtrm9Feb4bXH4LLakBvsxU6HT1FRlQeSu5j0N4eQeRPNa59q+maR2aCePWsB399zw2YCSzCbqnBM29eovwoA7SHQ6gNjy+I86N+/M2Xb8TEXAiNtQb88J0rOd9fls0DRxzHtQLYC2Atz/MLHMc9D+A3AHwewJ/xPP8PHMf9FYD7APzvEppKEARBVDitDiM+1WLHl7/3s3iJ5wM7utFip9KX+VDKcr/5lusudplvqefP1HdUolV+qqE0tZIl7HPtz0J8upDrIim3/ChGvzktBjz95kXJPqDE2JWDf1RDbiLKl9Tc7PEF8fSbF/Hy3s1l7ZNisXvbGhde/dCb9vryBvFvnJZDHqh0YjGe2e/Uh/LjthnxuV43vv6j0/G+3re1iyQyZEbJvBAOR3F8YBSPHjsbb+vgzh7s6muBXq+VtS2CKDZK7mPQ3h5B5Ec1rn2r7ZrdNiM2rXDi9557l9aLRYD2cAg10eow4qaVDfjKM+8UtJ4qt69K6ACYOI7TATAD8ADYAuBHV//+fQC7SmMaQRAEoRbG/GHsf3EgqcTz/hcHMOanAnqVRr7luotd5luO81OJViIfylm2rBCfLuS6yrlPypli9FuuPqDE2JF/ENVOpa43xGJ3wOPLOaYpDxQO9aFyRGPAk6+dT+rrJ187j2gsy4FETijp0/0jvvjDRkJbjx47i/4Rn+xtEUSxUXJdQXt7BJEf1bhuq7ZrpvUiQRBSkWs9VTYVjnieH+Y47n8BuAJgAcCrWJJQm+F5PnL1bUMAWlnHcxy3B8AeAGhvby++wQShEih2iGpk1B/EdU21uP/WlVgIRWA2LJWh9/qDks9RzbGjdAnaTO3lW6672GW+vf4gHGY9dm9oA3e1a46+O5T1/KnXetsaF17OUKK1UssBl2P8VGpfptqdi2/Lcc1i5xB7PVvZYbHjColZNckTKhk7xei3bD4QicQw4PHF5XjC0SiCizG4bcakfDoVCOVlA8u/xK7T65fPPyo1v6iNcpx7ygElS8KnxkK7w4wr0/Oiv2eyQyx2Pb70NdgbH41hfDYkel41zRMsCs1BUmLHK3J/pZY+LCfGZtn3GeNzQaxsor6WC7nygpT4GRW5d8xlf4KQBq3Jio9Gw+Gzq5vwt/fdhFF/EG6rEb0ttpz7mWKHqFbC4Sj6R3xJ8ZNLtTup6zY1r31ZVNtadWyWPcZqXi/KMcdL3TMoNE4JopyQaz1VNg8ccRznALATwHIAMwB+COB2qcfzPP8dAN8BgI0bN/JFMJEgVAnFDlGNLG8w44s3dSSVod+/vRsdTrPkc1Rr7ChdgjZbe/mU647FeESifFHLfLttRnzp0x3xb5NIKV2b6VpZN7+VXA643OKnUvuSZfdT92yU5NtyXHOucjbCucXKDmeyqZDS/GqSJ1QydorVb2I+EInE8MLpYTz8wjU5kf/x673Y2GHDlk814/CJa/m0q6kWG2J8TvEp5l+rXXXM61yM8ojl2EYu7ZZ7flEj5Tb3lBNKlIRPjYUOpwlf29KVFPOHdvXgL06cx+DkQtZYEctRbQ5T2hps//ZufP3oadHzqmmeSEWOHCQldlrsRub9ldtW+X1YbjTVGZj3GY21hlKbpirkygtS4qe9Pj1v7dvahTaHqYArIFKhNZkyRCIxvHhmJG1+37WuFTqddLENKbGzjDHn79vahTY7xQ5RmYTDUbzQP1KQxKaU2GmqY89xjbXqXbdV21q1qdbAHOMGizrXi3LN8VLiR444JYhyQq71VDlJqn0WwCWe58d5nl8E8GMA/wGA/arEGgC0ARgulYEEQRCEOpgPRXHgeHKZwAPHB7AQjpbYsvJH6RK02drLp1z35ckAHj52Bnu3dCUd9/gdfbKV+c6ndG2ufVtt5YCLSaX2Jcvuh4+dweN39GWNCTmuWU45m2w2FVKav1LlgkqN0v024PHFP5gAlsb/v//jGTz4K5+KP2wkvP7Q0f6c41PMv7QapMXM3i1deOTYGVlyQKXmF4KQm9RY2NbXmhbzD79wFtv6WuO/Z4oVsRxl1GnT1mAHjg9kPK+a5wmlctBMYJF5fzUTWJS1HQKYnl9k3mdMz1Nfy4mSeWExwjPHNBKlZ2PlhNZkysBa0z/8wlkMeOSXCIzG2LET5Sl2iMpEKYlNrQbYtzV5T3Tf1i5oy+nTYpmptrXqQiTKHONgRJ2ffZAULkHkj1zrqbKpcIQlKbWbOY4zY0lSbSuAUwBeB3AngH8A8DsAjpXMQoIgCEIVjPpDzLKio/5QiSyqHLKV3U0sX2rW6xCORuG0GPIuVZ6tvWwyIGLyOYOTC3ju7UHcd8sKcBzA80Cr3ShqY65lWfMpXZtrSeNqLIEslVzHS+6+LGap/sRzazgODrMeHt+1EqeDkwtotRszSvEBuV1zrjJnHl9xpA7zlfxRUi5IDSSO92pXHV7Ztxmj/uL3m5jfTM+Hs/qTlJgT869RfxAtdmPSfPDc24Pw+IIYmw2i02kpKJ5T2xXk4c55ZwGAfJGQTKXLwKTGAseBGZMcl/x7prljtasOf/lbG2Ax6OCqM6C93oKTlyYlnzcxvlPzXbvDXNH9LaDUetGTIceuk60VAgBTNvDou0MY9ZGEkJwouX7MFD+EfND9szJkylHrlsnb1ohIWx7Kh0SFMppB7ltOPL4gfnLGg2/euS5JXmx9ux2dDerMh9W2Vh2aXsCzbyXvez/71iBWNFjQ02ovtXmyo+Qcr1ScEoRSyLWeKpsHjnieP8lx3I8A/BxABMB7WCpd9k8A/oHjuENXX3u6dFYSBEEQasBtY5cVdVvVWVZUTjKVlmeVL927pQtHTl3BQ7evyatUuZRS9mIyIGLlVNe6l+RzPL4gvv36x/Fz3rGhlWlDPmVZ8ynBn+sxapb/KASlxkvO9gs5976tXXj2rcH4TYCxRoN6iyGrNI7Ua85H5sxtM+XVn9lsKkTyRwm5IDVQSqkJMb9pzuIXUm3O5l9Pv3mR2Xah/ZHYrttmxD03dyTJw5GUByEFNcjAiMVg6u+JX6ITmzvE+qO93iLaTup5M8U3gIrvbwGl1otiOdyVQU6YyI82B1u6udVOfS03Sq0f3TZ2nGaS4yZyh+6flYElbbpvaxdaiyARSJJqhNpwi+QpuddTbpsRn+t1J8mL7dvapep5J9N+gxppsZswPR+O73sDwn6dOq9XSZlApeKUIJRCLnnnsiqSx/P8fp7nP8XzfA/P8/fwPB/ief4iz/ObeJ5fxfP8XTzPU/kJgiAIoiBqNBpmWdEaNdeOlYlMpeVZ5UsPnziPbX2teZcxLaSUvVg51WgMOZ0zn7Ks+did6zFqlv8oBKXGS872Czn3k6+dx10b23K2W+o15yNz1u225tWf5NOlp5RSE91uKw7t6kka/0O7etDbYsvoF1JtzuRfYn+LxlBwfySee/eGtjR5OJLyIKSgBhmY1Dg7fnqYGfMv9Q/HfxebA3Kdm1jnzRTfauhvAaXmVr0O2L+9O6md/du7YaiprAe0KgGthmOWvNdqqa8rFYNWw44fHe1PyAndaygDS9r0ydfOw6jTyt5WJCoiRxgjSTWiMultseHgzuT18cGdPehrscnaTjQGtnxOLMuBFYzdrGPOtXZLTYktKw51Bh3zs486ozqvV0mZQKXilCCUIiwi77yYo7xz2VQ4IgiCIAiluCJSVnSZw4x17Y5Sm1fWZCotL1a+VJDMyLWMqSAd4jDX4MieT2MxGkW9iDxbqsyIIIMhVk6VJcEh9o31XGTkEiU3blvjwpE9N8PjC8JtM6Lbbcv4rfhcy/aTTBSbfMro5iPNl81fBNkkoRTpVCCU87ejU9v1LYTjeQu4Vt50U6cDR/bcjEA4go56aRvmUq/5nHcW929ekVRKNbgYw+DVD3XFzpGPb5JPlx4ly1Cz4mrXulZ0NdVi1BdE89W8qdNpmH4BAJcn5nDOOytqc6oc2m1rXKJyg6w2Tl6aZJYVzrU/1rrr8P17N2EywJZ0FeKp2L5e6ZJc1UwpZWCk+k02WV1Wjm93mLGh3SH6uxDrF8fn0uRxxWJJwwGNdXoc2XMz5sNRuKxGtNlM6GqqvbomM6HbbcU7g1OifcrzbLk3OWQWlUapuXVwcgE/ODm4JM0RjsCk1+G7b1xAvXkV1rjtsrZV7YzMiEjazgTR11Yio1SKUvPm5al5vHrWg7++5wbMBBZht9TgmTcvwWrUoafNLnt71QrdayjD+Bx7vTsRCGEV6mRta0REkpkk1YhKRa/XYldfC1Y0WOJzT1+LDXq9vA/sjc2yY2d8LoiVTeqsCj0yE8Q7FyfwN1++ERNzITTWGvDDd65geYMZHU71XfOoP8j87GN9ux3LVVj5W0mZQKXilCCUwiOynspVspseOCIIgiCqjla7sarKisqNWGn5TBIWuZYqF5PK2NBez3zYKPG9HU4TvralCxOzIaY94WgMv/YXP02T4BAjVxm5J+6+HretceHVD705S3HkWrafZKKSicV4RKJ8XqXyc5XmExtLl9WIDqcJX9jYniSb1NVUiw0xXvKGNsuvv/qZrrjsk7FmSbLwxC9GMRlYxENH381Z9iWXa967pQvPvb0k3Was0eC9T2awsBjD7d3NzHPk65vk06VFKamJTHG1bpkD65Ylvz/VL2IxHic+8uK8dw7Bxaho6WyxNlj+xfI9t40tWyO17Hrqde7buoppa2I8FetDLzVIclUzpZKBkeo3UmV1WXGW6Xex9le76kRj6Rejs3j2rUFMz4fxxN3X48aOeuaaTOwcQp+KSS5UYhwpMbc220w4NzaHvT94L/4aSQsUhxYRSRC6l5UXJefNZXYTNq1w4veeezdpvUGyUPJD9xrFp6HWwMxRTotB9rZa7WIS35QPicpFr9diY2d9UdtQMk7LhRa7ETeuaMBXnnknPtfu396t2nzRVMf+7KMYEmPlQLOVLRPoKtL9shJxShBKIdd6imqzEgRBEFUHB3aZzTL+nKAiYJUo37ulCy/1D+dcqjwXKYvU927ra8XDL5wFD/Y4f+Txyya3JWbngMenGimOSuLyZAAPHzuDvVuSx/3xO/ryLpWfq6xKp9OCx3b2pskmPXS0P6fxZ/n1I8fOJp3z8Inz+M+3fQoPHe2X1dfE5BF3b2iLx/UPTw2RT6sQpaQmCpUrujwZQP+QD0++dh7PnxpKi/kn7r4eWk3hcmiFlppPvc7nTw2lzUtKxZOaJKKqkVLJwEj1m2LI6mZqX6tJl8cVYunJ15bmq2xrMtY5lJBZVCtaji2ppqUbLNmJxmLMe5woSQjJipLzZiRGslCEegiEIswcFQhFZG+L9vYIIj+UjNNyYSawiAPHB5Lm2gPHBzATWCyxZcVBSYmxcmA2uMhcS80G1Tm+BCEncq2nqMIRQRAEUXUMzbDLbLY5zFjfUWrrKpfEEuVefxA1Wg38wTAO/8b6rHJiqeQiHZL43r5WKzYtd6Dd0Q233YjvvXkprXzsHTe0pZ3X6w/Gz5VaLj8fGTmxUpRKSJ9UM15/EIOTC3ju7eSywR31JqYcghSZhFwl0jQaDjVaruDxT/Qtt82ITzXX4f7NKwBck1ILLsbgW1hMa8th1mN8NpS3/IOYX7fXm3DfLSvilY4AkE+rDKWkJgqVh/L6g4jxiMudRWI8/uTOdRiemcf6ZQ7c2FmPk5cmC2ojFuMxOMWW5pRaat7rD6ZJsv3kjAdPfWkjTl6aAs8jYzzJKeVSSkkuonBKJQMj1W+KJasrJus56g/i9u5mOO/dhJ9+PJEWS0K8ZVqTXZoIZJVZXLtvM7z+UFyyVJCfKEQ2Va3ShoMJklDTgUU4EiShekkSSlaGZtgSGcvoXlZWWHN4PrKqUhjxsdsa8QVxg6wtEUTxGZpZYOao9nozrm93yNwW7e0R6kOJtaKScVoueETm9VF/EOtKa1pR8PiCOD/qT5OQK4bEWDmQSWKzb5nIQQUQicQw4PElSXbrdCp9motQPWL3l7mup+iBI4IgCKLqaLWzy2y22tVZVlRJNBoOnU4LfjE6W1D5+VykQ4T3XtdUiy9u6kgqRb9/ezd+cHIQ/cP++DlSTTDWaLAY5fH5wz8VtTdXGTm3rTTSJ9WOMB4eXzBeNrjDacJ1rlo8dPRkXrJ3+UikySF9I5zDYdbjnps78F8T8pUgbzY9H4Y7RVZDkID6ne/9TPb4G55ZSCvHTD6tPpSQmig0RlxWI6wGLVPuzGU1QKPhCmpDkFG5MhkQlWuTgpgkm81Ug+/+9GJG2+SWcimVJBchH6WQgZHqN8WW1U2V9WyqM0Kj4dBYZ2DGEs9f+3/qPCm8nioNyuIDT/J69ql7NhYkm6pmacNlDhFJKAdJQsmN22ZgSmS4rOqVQSkFhcqq5sIyB7utZbQ/QVQgbhtbxqcYsUN7e4TaUGqt6Lay41TNUrhtDhNzrm1VqXxpq8OIm1YmS8gd2NGNFpXmR7F7vuYiSOZFIjG8cHoYD79wNt63h3b1YNe6VnroiKhIXFZ57i/J+wmCIIiqhFVmk5AHOcrP5yIdIrx3z60rceCl9PK4e25dGT/Hg79yHa5z1aXJbT1y7Exe9orZ2e22lUT6pNphjcdjO3uZkmNSZe/ykUiTQ/pGOMddG9vS2j584jzu2th21desSW3dtbEtLb/JFX99bTbyaUIWCo2RTqcFa1ttGeXOCmlDmMfEpDmlliEXk2SrM+iy2ia3lEupJLmIykaq3xRbVjdR1jPxfKx2923two9/PpSwJrMybcsmZciy4+FjZ3BgR0/esqmqljbkRe6vSBFKdsx6LVO+zmLQltgydVGorGouRETailD8EBWI06Jn5ihnrb4o7dHeHqEmlFor9rbYcHBnT1KcHtzZg74Wm6ztlBMxni1fGlPpYnXMH8b+F5P3yPe/OIAxf7jElhWHbrcVh3Yl+/ShXT3odsvv0wMeX/xhI+DqfeILZzHg8cneFkEoQZ1RiwM7ktduB3Z0o86Y2/0lVTgiCIIgqo7hGXaZzeGZIDaUoOyy2qQV5JBtyUU6RHjvKwMeZrvRGI+vblkFnge+92+XcfiL1yfJZ0wGQhicXBC1N9P4ZLJTeH0qEEKNVoP5cBSXJwMVP77ljNDviRIoBt1SlSBBZgXITfYum0Rap9PC9I9CpW+Ec6R+Q0doe/0yO37puqa0tubD0aLFHwBR6ZlKRG25t5IoNEY0Gg5ajh2XV6YCGJtdGtNUuaR2hznrmAt+EVyMIRCO4ui7Q2llhaWWIRfkl1Jt9M4Gs16/3BJopZLkIiqbXPxmrbsO3793E+bDETgteoSjMdze0yybrGdfqxUv792ccR3WWGuEVgOsb7enrcmc927CyUtT6GywYGRmHnfc0JZRHollx+DkAhYKmGfVLG3oEbk2tcpUlJIrUwtx+bqZwCLsV+Xr6s01WNtiL7V5qkFsDpcqq5oLYvclown3LwRRKXh8QabE5vIGs+wyPmJ7eyMl2tsjiEJRaq2o12uxq68FKxos8XvjvhYb9Hr1Prw8IpIvPDNB9LWVyKgiMiriS16/OtcWOp0GO3pb0Om0YNQfRPNVny5GxaFM67Z1RZBvI4hic2F8HicvTMQlGBtqDfjRO1dQa9Bhjdsu+Tz0wBFBEARRdbhtBrYMVgnK0KtRWkEu2ZZcpEM0Gg6tdjOzXU7D4VsnPo7/7rQY0s4rZq+U8RGzUy55OSJ3UiVQ9m3twrNvDcYfOspV9k7MpxtrjRn9o1DpG8GHWG13pHzgKrR1cXyuqPGntJxPsVBj7q00Co0Rsbh875MZHH7t46QxFR4ezTbmwns+GvXHv9nDKiuci/SbWDxmu/5iSKCVQpKLqHyy+Y1S8n9drjqmDSz7Uj/QXJJZNKBGy6XJrohJvIjZEeX5vGNTzdKGojIGKpbmKBVtIvJ1rSRfJytNdeLrf7kR258gmTyiEmm2Gpk5ylWEua5F5J6+GBI6BKEESq4V9XotNnbWy37ecqXFzl6rulWaL8T2PNW6No/FePzrR2OK7PEpKd9GEEqwzGFCV7M1SYJx39YutOUoOUmSagRBEETVoddpmBIp+hrlp0U1SiuUSraFVT714M4ePPvvFzPakcneQsdHjeNb7rD6/MnXliTIgPxk78R8RKtB0cc313gi2SRpUGxWPmJSSj88NQQgfUyljLnwnudPDWHvli4cPz2MvVu68o6nQuKRYpmoFCpF/i9XeSQxmbjv/N8LafcRFNeA3axjSujYLTUltkx9GHVapi8bdeqtSlAKtJrCZFVzoUFEgqqxSBJUBFFMZoOLzBw1G1yUvS2dlmPGaY2WvkBCVCZqXiuWmjqDjpkv6ozqXKsqLW9ZapTc41NSvo0glCAaY0tORvncJCepwhFBEARRdVyZWsCzbw2mSaS015vR1+ZQ1BY1SiuUSrZFo+GwYZkd3/3SRsyFImioNUDDAY9s68FiNIp6iyHJjkQ5pdWuOryybzNG/cn2Fjo+YscPyiDjVA1yUPlco1ifr19mxz/suYkpeydVti/1vScvTRY9fnONJ+H9q7+2GVemAjDrdTl9O1qszxNfb6pbkqzx+Erje3L4vhpzb6lQMheltiVIpnn9QcR4Hv/lh/1p8ole/9KYShlz4T0eXxDPvT2I3RvaoNEAz967CVGel3R9YjbmOh+SBBpRbAqJ3cRjFxYLl/JMPW9jnR5H9tyM+XA0PuecvDRZUI7JVR5JTIrt1tVN+MkZD75/7ybw4LPGplw5odwZmbkmoTMzvwi7+ZqEToeT5lU5GZ8LMX15IhDCKtSVyCr14fEFmXsGUmVVc2rLHxKNn85GGlOishgRkZrx+ILok1lq5pNp8b29dcuU3dsjCDlQ8h6wGvYUExn1i8/ry1W4B+TxBfGDk4P45p3rsBCOwKTX4btvXCiKvGU54PUHcV1TLe6/dSUWQhGYDTo89caFouzx6XQa7FrXiq6mWoz6gmi2GdHtLo58G0EoQaa1Wy7QA0cEQRBE1dHmMDIlUlrtype+VKu0gtKyLSw5D0FGa3o+jCfuvh4b2uvTZHOylVotdHxykfzJ5ca+GuSg8r1GsT7vcFqYsne5yPalvlep+M0nnj7y5i7lJ9bnt61x4dUPvRnjSynfk8v31Zp7lUbJXJTJP38xOouPRv2Yng8nHWOs0WAxyiMW47OOeSzGIxK9JpXk8QXx7deX8vTLezdLir9M/ZHPfEgSaESxKCR2U4/dt3WVLPmUZdO3fnN9XvMZi3zyfiYpNpfVkHWzXu6cUM64bWwJHbXKNpSSBgtbfstpJvktOWmqY+8ZFENSranOwIyfxloaU6LyaBWTLSrCfls57e0RhFwocQ9YDXuKqTTUGpj5wmlR51zrshpxbmwOe3/wXvw1Ne95tdiN+OJNHUn3bPu3dxdNMk+n02DdMgfWyfwgLUGUgjYHe68k1/UUPXJHEARBVB2xGLs8eiy3KoGyQOVy5UFMRmv3hraMsjnZSq0WOj65Sv4Ucr1qk4PK9xqVjKlyjd98+07suAGPL6f4KiZy+X65jl2loWQuyuafggxaqvzRI8fO4PJkIOuYX54M4OFjZ9LO8fgdfZL9ohpyM6EOCvHV1GOfPzWUt8RYNpv6h9Lnn3xjKt+8n6sUW7ZrUmtOKKSfiNyYCy0y72XnQvLLFVUzSkqqTc+zJaim52lMicqDAzt2NChGhZby2dsjiEqimtaoAoFQhJkvAqFIiS0rDtW25zUTWMSB4wNJPn3g+ABmArSWIohsyLWeogpHBEEQRNUxPMMuo9rmMGNDh7K2kGSKPIhJ5XDctf+PzQbR6bTg8mQA57yzuH/zChx9dyheHpIl/5Hv+CSWJl7rrsM/fW0zxueC4MDhgSPvp0n+5FritRrkoPK9RiVjqlzjV+g7t82I3Rva4nEwFQhl7DuxPveIlFZNjS+pFWAKKdud77WlUq5jV2komYuy+acggybM7RuW2XFubBbb17XG/SPTmHv9QYQjPDgO+JM712E+HMH4bAitdqMkvxB8W+25mVAHmSRfs+XC1GMF2aFUiTEAuDg+Jznfs2yK8ZAtpnLN+0JMnx9jrxnFpNiyXZNac8LYbBAOsz5pbj767pCkfiJyY0jkXnaZw4z1Ct/LqhlFJdVE1tqjOcoYEEQ5MDTDljlb0WBBT5td1rbKaW+PICqJalqjCojlpvZ6M65vV58Eo0bD4bOrm/C3992EUX8QbqsRvS021e55eUR8etQfxLoitFdtkoSEupFrPUUPHBEEQRBVR7OVXUbVZS1NGVWSTCkcMZkMnr/2/waLIa1k8N4tXXju7UF4fEHR0rK5jk+m0sSXJwNMyZ9cS9pWgxxUIdeoZEyVY/y6rEZ0OE34wsZ2HD5xPu6HXU212BDjRW+CxfrcbcseX1LGRY6y3fleG4tyHLtKQ8lcJO6f12QbEmXQ9ty6Ii5dmegfYmPuthnxpU93xCsMCN/oaZAgZyL49kejftXnZkIdZJJ8XViMZczLrGOn58NorDPEYyuffM86r5aDrDElNe+z7JeyZpRyTWrNCWI5lCTV5MdtK697WbXisrKlmooRv6128TU4QVQabpuJGTvFmA/KbW+PICqFalqjCrTY2PN6s0rn2kgkhhfPjODhF87G1+aHdvVg17pW6HTqEz5K3BcSKNb4VqMkIaFu5FpPqS+zEARBEEQWLAYtDuzoTioTeGBHN2oN2hJbRuSLmHTZj38+FP9/MBJNKxl8+MSSLJScpWUzlSaWq6RtNZTGrYZrLBadTgse29kbfyAHWPLDh472ZyyRLdbn3W5bxviSOi5ylO3O99qI4lAOEobdbmtW6Uop/iGHbBJL1o3yFlGOsOJp75aluMmWl6XEfT75nnXe3rb0+UeJmGLZn8+asZrWMiSpphx1Rva9rNVE97JyomT81mg1TBkDvQo/ECTUj92sw/7tyTlq//Zu2C01srdFe3sEkR/VtEYVsJtqmHOtwyR/bioHBjy++MNGwNLa/OEXzmLA4yuxZcWh223FoV09SeN7aFcPut022duqRklCQt1YTez1lC3H+0uqcEQQBEFUHRcn5nHywgT+5ss3YmIuhIZaA370zhXUGnRY22IvtXlEBhJLlpr1OoSjUTgtBnQ6Lbi9uxmrv7YZH3n9uDi+tMi/44a2eBnI5Q0WZnnVvlYrXt67WZbyp7EYj/HZEO7fvAIA4vIbiaWJ5ZBxqgY5qGq4xkwleAspz6vRcKjRcpJLZItJACb2eeJYNNYaodUA69vtOY2LHGW7c702orjkE6f5+n2mthJfz1e6cmyW7Z+5yCalyrp9ekU99DpN/IFTNeUvorIR4sZ57yb89OMJ8Dzi1XsAZIwXKXEvlu+9/uznXf21zbgyFYBZr4PLakCb3YyXFV4LiNmfy5pRyGcOcw2O7Pk0FqNR1F9ds6oxFxSSQ4ncuDSxwLyXtZtqsLrZXmrzVIOS9yLDMwv4yRkPvnnnOiyEIjAbdHjqjQtY0WBBr8wSVARRbEZmgvjBycElfw5HYNLr8N03LmB5gxkdTnnnA9rbI4j8qIb9tlS8syHmXLu+3Y4VTXWlNk92Msm1rltWIqOKiE6nwY7eFnQ6LRj1B9FsNaKvxVaUak7VKElIqBu57i/pgSOCIAii6lhmN6Gr2YqvPPNOUsn/Vrup1KYRGRCTtzhy6goeun0Nbu9uxsqmWnAc8ODzpyXLQnW56mS5IcgkvzE9H46XJpZLxqka5KDUfI2ZSvACkEV6TEqJbKmlgFlj0dmQ27jIVba7Gst/lzO5xGmhfi/WVuLrF8fn8pKuLMSvEo9NlHXTcIjLulGJbaLc0Gg4NNYZ8N2fXszZ77PFvVg8LUZ5xLLIX37knWXmASXXAmL2S10ziuW6De31qs0BNDcrR5uDfS/bQveysqPUvUibw4TP9brx9R+dpjElKh6X1YhzY3PY+4P34q8Vaz6gvT2CyB8177excNuMzLlWrfK/ohJjKr3eWIzHv340pojMWVOtgdm3DRaS8yQqE7H7y1ZHbuspqs1KEARBVB0x8MyS/zz4EltGZEJM3mJbX2tS6dJcZKHkLBksZt9dG9tUX5qYyJ1MJXjlkh6T4u9KlgImSUGi2H4P5O8fhfiVmKxnoqwbldgmypFi5dNOpwWP39GXJtn2yLEzGeOgXMrTF9ov5XIdSkJzs3KEIzHmvewi6ddVLDSmhJpQcj6gvT2CIKRSbfK/SspblgNK3n8tRKJMeb5gJCp7WwShBEadlpkfjTqSVCMIgiCIjAzPBHFdUy3uv3VlUhnVkZkg1reX2rrKpBD5J6mIlSzluPTSpWvddfj+vZswH46gvd6C5Q3psjuZSgbncj3Ce895Z3H/5hVxGTXBvvXL7Pil65qyHl/MviNyQ4kxmQyE4rJLwDX5Pa8/iIXFaNbyvIk2um1GRGNLciaJ9krxdyVLAYvZBAAXx+ck93c1lv9WC5n8jedRkC+mSgO+9NVbMOpfgF6rRSAcwaWJQHwuEGO1qw5/+VsbYDHo4KozoL1eml9JlXWbCoTi/SDF12l+IJRAbM1UCBoNhxa7MT7PJUq2jc0G0em04MpUAF5/CIFwBB1X2xWbG5UqT58Yc6tddXhl32aM+nOfZ4Rc57YZsXtDW/x6pgIh1X6LnOZm5RjxBeEw65N8K/H+g5CPcDiK/hEfRv1BuK1G9LbYoNfntvEuhREfe3+CxpSoRDQaDretceHInpvh8S3dq3a7bUWSI6S9PYLIl0gkhgGP72qcmtDtthZFfqpcqDb535GZIF4968Ff33MDpgOLcFhq8Mybl4oib1kOeP3s9XEx7iOHpsWlcHta7bK2RRBKMD4XYsbPRCCEVZAuOUkPHBEEQRBVx/IGM754U0dSGdX927vR4TSX2rSKRKokU6GISTXw/LUS3WK2LG9YeqhBSsngXK4nk4yaxxeEsUaT8QNrpfqOkI4SYxKL8RiZCeLpNy+myQMuRnmc/mQmoyxJoo0Osx5f+nRH/JsIqfZm83elJVBSbcq3v6ut/LdayOZv+fpiqh91OE34L7etxtD0gmhsZDpeeG97vfRvYmeTdetwmjA8E8RvP/0zSb5O8wNRbLKtmQrFaTHE5zkBoYz/iY+8OO+dS4rPP73remg1YM6NSshyyRlzLqsRHU4TvrCxHYdPXLvGrqZabMgiKVfJ0NysDMscprS1376tXWgjCSFZCYejeKF/BI8eOxvv54M7e7Crr0X2h45of4JQE7EYj1c/9CqyhqXYIYj8iERieOH0MB5+4docd2hXD3ata1XtQ0fVJoPlthmxaYUTv/fcu1UiIWdkro+Lcb1iUri5yk8RRLnQVGtgxk9jjvlRnbMHQRAEQWRgPhTFgeMDSWUCDxwfwEKYSl/mg1JlS1mlufdu6cJL/cPxEt1y2JLLOcRk1HZvaIsvzrQZVlvVKLlR7igxJpcnA3joaH+a3xzY0YNHjp3B86eGsHdLcnnexDL0iTbu3tCWVvY0F3tLLYFCMVBdZPK3Qnwx1Y+29bXi/Nic5NiQ2w9Z1/LYzt60uM/UBsUGUWyK7WNiMR2NAf1DvrT4/M8/fB8fePxpc+NjO3sVmZPk7I9OpwWP7eyNP2wknO+ho/0Uw0TBRGNsCaEoTxJCctI/4os/bAQs9fOjx86if8Qne1u0P0GoCSXXsBQ7BJEfAx5f/GEjYCl2Hn7hLAY88s9x5UK1yWBVm4Scktcrl/wUQZQL0/Nhpk+nfpEyG2VT4YjjuNUAjiS8tALAowCevfp6J4DLAO7meX5aafsIgiAI9TDqDzHLqI76QyWyqLJRSpIpUarB6w/CrNdiMRrD7T3NcckGOWzJ5Rxi722vN+G+W1bg2bcGsb7djs4Gdttix3v9+fUdye8UjhL+LNZGOBLD4OQCgCXpGUFWZvOqBtzYWR8fy8TjBUlBlr2dTgsuTQQwOBWARa+Dy5ouEVVqCRQlJd2I0pPN31L/1u4wS8ppiX7kthnxqeY6zIciTJnLXHJ5vn7Ius5c26DYIIpNsX1MLN5PXppETERCMZbyvERwMYYaLcesSibXeidRGleu/tBoONRouaqL4WqT5igVIz527JL8lryMZrhPk78t2p8g1IOSa1iKHYLID4/IWmLUF8S6ZSUyqsgkyWCFIzDr1S2DVW0ScmOzbEm1Ylzv+Bx77slVfoogygWPyHrKk+N6qmweOOJ5/iMA1wMAx3FaAMMA/hHAHwF4jef5b3Ac90dXf3+oVHYSBEEQlU+zlV1GtdmqzjKqxUZJSaZsUg1y2JLLOcTee2VqAd9+/eOsbYsdvxjlEctRcoPkd+RBCX8Wa8OVkJs8vmDch3avb00aw9Tj2fnMmOYP+7Z2octViy2rXWkPHZVKAkVpSTei9GTyt8S/5ZLTBD9ymPW45+YO/NeE0tapMpe55PJC/JB1nbm0QbFBFBslfIwVBy6rEVqOHQ+py5WluTHZHjnXO4nnun/zCln7o9piuBqlOUqFW3QdqU7fKhVK9jPtTxBqQsn5j2KHIPLDbTOxY8em3rVEtclgVdu9iJKSatXWt4T6abGxfdqd45xQrnf9WwFc4Hl+EMBOAN+/+vr3AewqlVEEQRCEOqg1aLF/e3dSGdX927tRa6DSl/lQakkmuW3J5Rys9+7b2oUf/3xIUtudTgsev6MvTSbukWNnci45TvI78qCEP4u10e22SWo78fij7w6llYUWJGtS/eHJ186jf8hXVj5RTvmDKC9yyWmCH921sS1NwihR5jKXXK5U3Iu1QbFBFJtS+Vin04LeNlva3PWnd12PvjZbVnvkXO8knuvou5nlTPO5zmqK4WqU5igVvS02HNzZk+RbB3f2oK/FVmLL1IWS/Uz7E4SaUHL+o9ghiPzodltxaFfyHHdoVw+63epdS1SbDFa13YsoKalWbX1LqB+DTsOUnDTm+MWhsqlwlMJvAPjB1f+7eJ73XP3/KAAX6wCO4/YA2AMA7e3tRTeQINQCxQ5RjQxOLeCdixP4my/fiIm5EBprDfjhO1dQb67Bmha7pHNQ7FwjF0mmfCQwcjlGDnkosXMAwMXxubgd7Q4zrkzPo7FOjyN7bsZ8OIqmOiO0GmB9u11S2xoNhxa7MS6dxfOIV+LIteR4JcnvlFv8JPqYWa+D22aIj2kxpOky+akU/019X7PViNvWNmN8LlmyRkyuJptPKCnNJ0fMVpOUYLnFTjERy2lTgVD874njfXt3M4w6DfOY7pY6/NPXNmN5A9s3lJAWTGxjKhBCjVaD+XAUlycDkuI8F5uqKSZyoZriRwqllNRc1VgLh0mP7335RswFI7CaauCyGtBmN+PlLPZ4/exy+WK5IROJecbjC8blTPtarehy1RXUH6WWLJUTKbHj8bHHRc3SHKVCr9die3czOp1meP0huKwG9DZboder8wOzUqHXa7Gjx43lTjNG/SE0Ww3oddty7mcp8TM4tYBXz3rw1/fcgJnAIuyWGjzz5qWc9icIolzQaDjctsaFI3tuTpLYzHX+kxo7he7tEYTakBI7Op0GO3pb0Om0YNS/tKfU12JTdVXKapPB0mg4fHZ1E/72vpsw6g/CbTWit8VWkfciUpBLQk5K/KTPc0Z0u9Xbt4T6GZrJIDnZZpd8nrJ74IjjOD2AHQD+W+rfeJ7nOY7jWcfxPP8dAN8BgI0bNzLfQxBEOhQ7RDXS6TThxhUN+Moz78TLbO7f3o12p/QyqhQ7yUiRZMpHAiOfY+SQh0o9R6odHU4TvralK0k24om7r8dNy53QaDh0Nkhv22kx4Ok3LxZcirWSSrqWU/ywfGzvli4cOXUFD92+Jj6mciPmp1L9l/W+xJtoMX/QcMjoE6WQ5iskZqtNSrCcYqfYsHy4w2nC8EwQv/30z9LGGwBqtBqm33+q2ZpXTMmNRsOh02nBL0ZnJflsPjZVW0zkQjXFj1SUltRM9E+HWZ9W9l7w1Uz2sMrlP/gr12FiLszMDZn8PjXPeHxBPP3mRby8d7MsfVJKyVI5kRI7bQ4TU8ZArTIVpSQSieGfPhgl+boiE4vxOHF+vOD5VEr8LHOYsGmFE7/33LsUP0TFE4vxePVDryKxI8feHkGoDSmxE4vx+NePxqrqnrGS9kzlIBKJ4cUzI1WzXmyqY49vY21u4ys1fuSY5wiiXFgmk+RkOWaWzwH4Oc/z3qu/ezmOcwPA1X/HSmYZQRAEoQpmg1EcOD6QVGbzwPEBzAWjJbZM3eQjgVEuMmGpdmzra02TjcjXLrlKsVJJ1/xg+djhE+exra+1oiXpxOT++tpsGX2iXGJOKpVmLyEdlg8/trMXDx3tZ4735ckAHj52Jk0S6fE7+soqDxbbZykmiHIm0T93b2hLK3svxVdZ5fKf+Jdz+MDjz/lctHaSj2qTqSglJF+nDErOp6FIjBk/4UgRdEAIosgoGTu0t0cQ+VGN94zVtu6vtvWiVgOmJJS2CE9AVGP8EOpGrnuRsqtwBOCLuCanBgAvAvgdAN+4+u+xUhhFENUOSTMQamLUH8J1TbW4/9aVWAhFYDYslQn0+kOlNk11JOaOhcVoVsmv1FwjJqlzzjsLnl+6ofD4ruUlAKK5KvHcbpsR0dhSyVUpOS3VDo6D6LV0Oi2S86VgU6IsW745Vm7pDrXm/dTrmgywyyoLY1wsSTpW/wLi/ivlHILMn/D7bWtc+KevbcaVqQDMeh1cVgPa66X5uttmxO4NbTDoNFjeYMGVqTnMBiMIR6NwWgxM21Kl6TK9Vy4qSUqQyA1WThMb78HJAHjw+C+3fQrD0wt44u51WIzEoNNq4LYZ8e6VqbgvAtLiLBKJYcDjg8cXRJvDBHONFuNzYQTCEXTUW0Tl2RJhxXmxfZZigiiUQud/sfntylQAwzMLOLC9GxOBELQaLifZRAGxcvk6jQZ/8JlVSXJe2fy+3GTPKnntVW0yFaXE4wviixtb8au9rRi/6revnBkm+TqZUXI+HfEFmfsTHl9Q1nYIQgnEpE+LETu0t0cQ+eH1s+cdNd8zajQctnQ14rmvbEqSSq2UtXaueHzsdYxa14seX/CaJFSCT69vt+ekQiCFaowfQt3IdS9SVg8ccRxnAfArAH4v4eVvAHie47j7AAwCuLsUthFENUPSDITaWN5gxhdv6kgqE7h/ezc6G8ylNk1VpOaOfVtXZSxfy8o1T92zkXnMmWE/HjjyPvZt7cKzbw1iej6Mb/3meoQjPDNXAZAk4SGW08RK76b+3mw1Ss6XYrm1EAkvuaQ71Jr3Wdf1+B196HCaMDi5EH+fsUYDni9eeWWx/tXrOHz179+T1Oescxza1YO/OHEeg5MLScfnolfushrR4TThCxvbcfjEtRhZkpn7AF/Y2B6Xm0u0LZs0XbF8p9rKYlcbrJzGGu/z3llEYkjy2cT5QfDFR7atFZ0nEv0zEonhhdPDePiFs3CY9fiPv7QCgXA0p3lDLM7XuuuK6rMUE0QhFDr/ix1vMWjwwchsUgz98fbutPk3k2yi0L6Yj3c11eIPE9rdt7ULzdbsfl8usmeVvvZqqjUwx6XBYiihVeqkq8kE/4IdX/7etTg5uKMbq5pIQkhOlJxPV9D+BKEimq3p0qf7tnbBVYzYaaTYIYh8cNuMzNiRsnauVMLhKF4868Gjx65JjB3c2YNdfS3Q69VXkbPVbmKuY9x2dY5xs9XIlIQqxtzTbDUw48dVR/c9RGUi9llphzO39VRZSarxPB/ged7J87wv4bVJnue38jzfxfP8Z3menyqljQRRjVCZQEJtLITZZZcXwlR2WU5Sc8fzp4bSypsmlq9l5ZqHj53B43f0JR2zd0sXfvzzoXh5x90b2hBcjKF/yCeaqwqV8EgtvXv89DAO7epJu5ZoDJLzZTnn1nK2rRBY1/XQ0X48trM3zcde6h8uWnllsf7tH/JJ7nNmvLxwFtv6WiUdL0an04LHdvbGH9wQziXIzInJzZVKmq7aymJXO2JSgeEon+azifOD4IuZ5olEEsuP797QholAOOd5QyzOozEU1WcpJohCKHT+Fzt+diGaFkN/fHwAf3T7miRf/aPb14jKJgqwfHz/9m5845UP03JAtILUiCp97bUQiTJlDIIRur+Sm8lAFI++mHwv++iLA5gMUF/LiZLzaSDE3p+YD9GYEpXHbHCRKcsxG1yUvS3R2KG9PYLIyORcmBk7k3PhEltWPPpHfPGHjYCr66djZ9E/ok6JMQ5siTENyv+LDPmg5NwzIRI/EyqOH0LdzIusp3L9rLSsKhwRBFGekDQDoTZG/eyS/6NUdllWUnOHxxfEs28N4unf2YjZYARumxHdCeVrWblmcHIBrXYjXt67Gee8szgz7Mdzbw/GSzoGF2PxMt0xXlzmjE/4m5gc2jnvLAAw5StYkhvtDjM2tDuSJDhOXpqUnC/LObeWs22FIHZdNVoOL+/dfFUKTIvFaAy39zQXTcpEzI4Yj7TXvP5g/JhEeRWxc3Bc8u+Z/JqFRsOhRsuWuRFihyU3l8meYvpOucnhENkpRDIodbw5cHjgyPu444a2jPEg/D/TPJHon4n+nMtxiYjFxPhcsKg+SzFBSKUYkn9ixwdCEebr58fmcN8tK8BxAM8D58fmsraf6uOLUR4DI76kSknCceNzwZyq/JWSSl97DU0v4Nm3BpPG89m3BrGiwYKeVnupzVMVXpF7WZIQkhcl51PanyDUxIiIjI/HF0SfzDI+lA8JIj88IuvOUb96pTxHRa7Zq9JrHprJsDZvs5faPNlRcu6hdRuhNuTyaXrgiCCIrJA0A6E2XFZ2yX+XlUpfygkrd0zPh3Hy0hQOv/ZxmlSEWK6ptxjiH7Q8cOT9tL/zVx/S0HJsqR0hVyX+LZNMm5h8BUtyI/X3XPJlOefWcratEMSuy2U1KiqnImZH6ucXxhoNFqM8Pn/4pwguJsuriJ2D55OPz+bXudgnyMyx5OayHVNM3ykXORwiO3JIBiWO98XxOUzPL32LLFM8CP/XaTLPE4KNBp026X3Z5hcWmfJosX2WYoLIhlgsrnYVJvkn5vcWo475eiQWw7df/zj+Wjb5XYFEHz/9yQwWwlHmcY21lbNuqfS1l9tmwvR8OGk8jTUaNNsqw/5Kgu5llUOp+ZTGlFATbhtbxqcY8wHFDkHkhzvD3phaqbZrFl2bq/R6W8Qk5GjuIYisNMvk02UlqUYQRHlC0gyE2qg3a3FwR3eSTx/c0Y16s/o0m0uJmPTND08NAUiXisiWa8TO9+OfD8FYo0Fvm030+MRjj76bLu2WKNNWiHxFLvmynHNrOdtWCOVyXWJ29LXZkl57/I4+PHLsTFJJU8E/Wec4tKsHL/UPx3/P169Z5xZk5sTk5jIdowbfIeRBbskgwe+On17yTbH5QfDFTPNEoo2Pvng2fr6j7w7BadFnlATNZFup8w1BsBCLRa2mMMk/Mb+vM2rTYuhP70qf96TEaCrdbiu6XHVp53/wV66DtoJ2vCo9Z3S7rWlyw4d29aDbbSuxZeqjwcK+l22w0L1spUL7E4SaUHI+oHxIEPnR22LDwZ3JcXpwZw/6WtS7bqu2a7abddi/PTk/7t/eDbulpsSWFYc6g44pIVdnlP96m20G5tzTbKMHjojKpKlOjwMpPn1gRzdcdfqczsPxPJ/9XRXGxo0b+VOnTpXaDIIoN7J+bTxT7Agl90magVADr5z1YDEShstaC+/skoyE1zcHvU6PX+1xsw7J6OyVOu8UImuTaxuJ0jcAsHtDW1zq5peva8DGTmfa+xNzjfD6ZCAEvVaDcDQGvUaDqfkwLAYdQpEoWmxmdNSbcWV6npmrEs/dbDUiGgPOjy3JtP3450NxmTYA+Ic9N2FTp1O0fzL1XWI7jbVGaDVLcnKsPi7n3CqTbQXNPcUg23UpERepdgh+Mj635N/z4ShcViMmAyHc9Vdvpx37D3tuws0rGtKupd2x5P+C/CDLr29e0ZD1OmMxHlemAvD6Q5gPR9BUZ0AgHIVvYRF2Uw0a6wxor0/vt0sTAQxOBWDR62AxaBFcjKLeYmDGhxDLwrWWk++XEaqbe966MIEvPnUSbptRdB7IFcGn/AthRGLAxFwIbqsRdksNxmZD4MBhKhCCy2pCt9sKjYZLywEA4vEQicXw9sVp1Bm1aLWbcWkigBoth5uW12MxymM+HEF7vQXLG9hzQlPdtbzvti3NNeNzxcvxSuWsCkPRuacSx0CIxVQS1z/5zv+seRZA0rzS6bQgxgNjs0GY9TosRq/NF4nvDYQj6EiJt9R2vP4garQcZkMR8DFgYTEKnYbDpckA1rc7cGNHPQAUdYzk8oEyWRfmPfdEIjEMeHwY9QXRfFU6WaeroKe+KoRXznrAIQKH2Ry/l50OzAPQid3LEsqQ99zzylkP5haCaHda42N6ZcKPOpORxpSoSILBCM54fBj1h9BsNaDXbYPRKCq0UVDsUD4kqpy8123zC2GcHZ2F1x+Cy2pAT3MdzKbcPlyuNBYWFnFm1B+/5t5mK0wmdT6A89aFCfzwnSu488Z2TMyG0FhnwA/fuYK7N7XH9wXVxFsXJvA/X/4Q99+6EguhCMwGHZ564wL+319bI3a9ec89b12YwFsfj+E/dLni923/dt6L/6erSZV9S6ifty5M4IJ3Btc1O+LrqXOeaaxqtucUPySpRhCEJEiagVATn2o24WeXFvGl7/0sLiNxcEc3ettMpTZNMeSQtZFCqvSNXsfhCxvbcfjE+Xi7XU212BDjodFwzFyTamuH04SvbenCwy+cjZ9j79XfH7p9DW7vbmbmKta5OY4t09ZYaxTtHwAZ+05op9NpydrH5Zxby9m2Qsh0XUrFRaIdYn5y0/Klhy8yyauIyfwBbL8Wjst0nQCyxtsTd1+P9vprFRek9pvwvsdf+TAtDxSrn4nywmU1osNpyjgP5IpGw12No9kkH/zWb65HOMIz/TIxbhL912HW42tbVuHpNy8mzS//8M4V/KrI3MLy/31bu/DsW4OYng8X1beVzFkEm0odg2JK/okd39lQi86GWtE+29BeH3/I/APPbMY+FYu7n5zx4HO9bjz52nlJuUCOMZLTByp97aXTabBumQPrlpXaEnWzdC/rx74jyfeym5ZXz72s2rjOZcKpy+n7E11NNKZE5RGJxPDSgCfp/vHQrh7sWtcq+0OolA8JIj/C4SheGvDi0WPX4vTgzh7s6muBXq/OCmGRSAz/9MGoIrmpHGixG3HjigZ85Zl34te7f3t3USTGygG3zYjP9brx9R+dTro/LIaEXIvdCLejFr+TsG5Tc98S6qet3ohPpvRp9yKtjtx8Wn2ZlCAIgiCyMDYbxaMvDiTJSDz64gDGZqMltkw55Ja1kUKn04LHdvbGP2QW2n3oaH/GdlNt3dbXGr9BFM5x+MR5bOtrzfkaxOQrtBqI9o/UvitFHxOFUYoxy9RmvvIq2Y7L1KaUeEvtk1xjYltfa1oeoNioDvKdB7LB8sH+IV/OuXr3hjYcfOmDtPnlsZ29onHHavvJ185j94a2ovs2zTOlp1LHoJTyXdn6TEqfisXd/beujD9sJLwuNRcU63oIQm7oXlZ9TMyxx3QiQGNKVB4DHl/a/ePDL5zFgMcne1uUDwkiP/pHfPGHjYCrsXPsLPpH5I/TckHJ3FQOzAQWceB4cn48cHwAM4HFEltWHKIxpN0HPvnaeURjWQ7Mg2rrW0L9eGZCzPWUZyaU03mowhFBEARRdXj9oaRvdANLE6nXn9skWsl4/UFmH4zNBov2rWqNhkONlpPUbqI0hYbj4DDr0Virx/23rkQsxjPPwXHZryFV8qLdYcZqVx3+8rc2wGLQwXVVKurkpUlRO3keGa9BaOOcd1bxPiYKo5C4yFdOJVubt61x4ciem6/KM12ThEpskyVPdnt3Mz61dzNTliVTm6n+LcRV6nsHE65Var8J7xM7Z7FjoxJlj8qZfPoz0zzg9S/J/+VyvsR8e//mFXjjozFsvq4JHAe02kw5+SWw5O8Osz5J7u3ou0Oo0XKitoj5v3C80Gan0yK7/5ViLieSqdQx0Gi4jPOEGIXmUeH4TH0m1qfnvLMAlh6WEnvPQjiS9rpZr8V9t6xIimmPLwivX54xqlQfICoXupdVDqXWjl5/iLn+oDElKhGPjz0vjvqCslfAo3xIEPkxKrJ+Fe7J1YiSuakc8PiDzLXFqD+IdaU1rSiMzbLHd3wuiJVN8t6TefxBXNdUmybfpta+JdSPXOspeuCIIAiCqDpabGwZiWoqfZlJSqPU7bKkKQ7uWIsoz+HrPzqN+zevYJ6D5zNfA+u8h3b14C9OnMfg5EKSVFQ2O8X+ltiGmJ3F7mMif/KNi0LkVDK1GYvxePVDb0bps0zyZGKyLPn4d+rv730yg8OvfQxjjQZP3bNRUr8J7Yqds5ixUamyR+VKMXx+Mcrj84d/Kvl8LLnN3791FQ68tPStnH1bV+Xkl8HFGGoNWnzp0x1Jckz7tnZlXB+IXQ/PX/t/JpnOQvyvVHM5cY1KHoNc5bsKzaPC8R+N+jP2WVMdu08/HpvDA0fexxN3X4/Vrjrme8x6XdLrbpsRVmMN/vxfr8X03i1dOHLqChajPGJ5SjkmUsk+QFQmdC+rDEquHZc5jMz1R5udxpSoPFrtJnaOKoI/Uz4kiPxwi6xfXUWQnyoX3DZ2bmpWab5YVm9iry0c6pScFLuHbKyVf3w7nCZ88aaOJPm2/du70e5UZ98S6sdtM7Dzo9WQ03lIUo0gCIKoOrQaYN/WrqQPvvdt7YIKJZtFKZWUhpR2WdIUZn1NvFzp0XeHsHdL8vjt3dKFl/qHM14D67wPv3AW2/pa479LkbLK9LfENlh2KiVXQuRHvnFRiJyKVH9KPW8h8mS5+Pfx08M4tKsnLV/+8NRQvL2Hj53B43f0Ze034dzHTw8rHhskeSMvcvv843f04ZFjZ3I6H0v+T3jYCACePzWUNtdn8ktjjQaRKJ9zGW7W9ezb2oUf/3xIkkxnIZRSFotYoprGoNA8Khz//KnM6yOxdbpWw8Xb1GrAjLun3riQdOxdG9kyiQ/dvgaPHDsjyxxQTT5AlAd0L6sMSq4dxWRAYrzsTRFE0eHAzlEayP8lD8qHBJEfjVY9DuzoToqdAzu60WTVl9iy4tHttqbtbR3a1YNut63ElhWHhXCMubZYWMywuVHBiN9Dyt9WaJFnSqqFFmnhRlQmep2GGT+GmtwCiCocEQRBEFXHJ9NB/OSMB9+8cx0WwhGY9UulL9scZlzfXmrrlCFfKQ0WuZSal9IuS5oiELomkeHxBfHc24O475YVWOuuQ1OdAdMLi3jiruvR3WwVtSWb7I3wuyCBkclOsb9NBkJJsh2vnPXgvltWoK/Vii5Xnaxl+EkeaglWPwDIq2/yjYtC5FQytSlF+syg0+TcdrbrTP1bu8OMDe0OjM0GwYHDA0feh8d3rdT24OQCOupNcem3NocJRp0WJy9NJvV/vN3mOkwFQjiy5+YkGTg5/TfVLyYD7PKwJHmTH3L7/GQghMHJhYzni0RiGPD44PEF0VhrwGwonGRDqlSfxxfEs28N4vv3bgIPPu7nAHBxfC4pPwj2iElhZirDnXo9jbVGaDXA+nZ7vM1UmU63zYjdG9qSJKLy8X855/JCqOb5qJhjUKp+FWs3U9wLD8myJD5T12GJ6ziOAzavasCNnfXx9wmxK/yd54Fn3xrEHTe0xdsc9QdF467ZasRta5sxPhfEfDjKtPnjsTkMTi5IngMyjUUmH6i22AiHo+gf8WHUH4TbakRviw16vbbUZqmOT6bZMVJN97JK4BWRyyjG2nHEx5Y9SVxvE0SlMDSzwNxvW9FgQU+bXda2aG+PIPJjeDqIX4zM4Jl7N2F8NojGOiP++cwwOpxmtNerc39Ep9Pg19Y2o73eDK8/BJfVgN5mK3QqfUIxk4ScGhG7h1zfbkdng7w+XY2ShIS6GZxkr92WOczoa3NIPg89cEQQBEFUHcscRnyu151U+nLf1i4sq7KS5blKabDIp9R8tnZZ0hQWY7JEhscXxNNvXsRf/tYG3PM3P4vL6fzBZ7rw6LGzTFuyyd4IvwsSGJnsZP0tFuMxMrNkV6psxx0bWmXdmCZ5qCVY/fCt31yPcITPu2/yiYtC5VTE2sx23g6nCV1NtXm1nat/C79fHJ/D9Hw46f0dThMGpxbw0NF+OMz6tLLNif0vR97JBssvHr+jb8nOhIdaSPImf4rh85nOF4nE8MLpYTz8wrX8fmhXD3NME88xPR9GY50h3k6m3Cm8R654StzUSuwvt82Ie27uYMog5vvQUbFjKhM0HxVnDErVr5naFYt7QTIwk8Rn6jrM4wvi268vyXLuXt+adE0uqxHT82F8+/WPk9pJlClsqjNmjbuVTUtzFsvmUCQmOWdJGQuxdWE1xUY4HMUL/SNJ6/CDO3uwq6+FHjqSGbfNwIwRd44l74nMtNiNTLmMYkg1kaQaoSaW1ZuY+23FkPGhvT2CyI8WuxHXue348vd+VvQ5rlwIh6M4PjBaNWvVZhGJJJdK14ti95DF2PMTledTsSQhoW46ney1W64ygep8fJMgCIIgMhARKVkeocqXOVOMUvMsaYo6ozat9O3/9+u9SSVMt/W1xm8cWbawzntoVw9e6h+O/16IBMblyQAeOtqfJtvx2M5e2WU1SB5qCVY/9A/5FO+bYsmpZJM+e2xnL77xyodp0jSP39FXNCkXlk2P7eyN+/7uDW1p+VVp32T5xUNH+/HYzl6SvJEJuX0+2/kGPL74w0bANUnMR7ZdKwPPkv+TItmZbZ6QO5Z3b2jLWQaxnKH5qDiUql8ztSsWH4JkYDaJT6nxJUWmUGpMss4lRYZXap8U47hKpX/El7YOf/TYWfSP+EpsmfpwmPTMkvcOs3plUErBTGCRKZcxE1iUvS0xSbUo7U8QFYiYRHGkCBqBtLdHEPmh5BxXLlTbWrWpziAim6fOB46UlLm2m3XYvz25b/dv74bdUiN7WwShBKFFtgRjOKWSVzaowhFBEARRdYiVFaWS5bmTTVYnFymJxPe22k146p4boNVysNTowHGAqUaHv73vJkwFwnBZDWkSPKlyOqm2JEpeeP1BmPVahKMxHP6NDViMRtFYZ8BMYBGvfjAKt82EbvdSad1YjMeVqQC8/hAC4Qg66i1YZjfhQ68fHl8w/l6xvqjRcrLLqInJ/lSbPBSrz2N8Zj+QSibfZf2tUEmdWIzHpYkABqcCsOh1cFkNaK9nnxdY+iBzPhzB9nWteOfS5FLZ06tyD011NWlyZtnakWKrcN12Uw3+7r6b4AuG4bQYEAhdk6wRi0Mx6ah85GayHZMpFl8usfSUWihURkpKDLU7zPH3+BYWmWMaXIziwPZutDhMcJhrsBiN4Ue//2kEQlEEQhE01Bnw7pUpOC0GdDotor7h9Qeh4QCvP4Q6oxZHfvdmzC9G4/PEmWEfwtFo/Dy5+k1if4nl70GGT+crx6SkjFMh8nqEOKXq12zt3rbGFZfPbLEZUWeswS9GZ3H/5hWoNWhFfbvdYcaV6Xk4zDU4sufTWIxG0VBrQDQGnLw0CbfNiGgMGJtd8tnb1rji+brBYkAoEsWKhlrUGrVosUn/lh1r7bcYjeHzvc3xtjPN8XVGHYZnFkTzhtBnucxFXr86Y4OkBZRjbC4kKhmxEnWlNk81ePxBfHp5Pb58y3JMBxZRb6nB9968hFF/EOtkbmuE9icIFZFJxmfdMmXaotghKplEKfHEvUk58Yis24oxx5UL1bZWHZkJ4uSFCfzNl2/ExFwIDbUG/OidK+hwmtHhVN+9iEbD4ZdXOfHsVzbFJfN6muuKsg8yMhPEOxev9W1jrQE/fOcKljeos28J9ePxh9jrKX8op/PQA0cEQRBE1dEiUlbUbVPnU/7FJJOsTi5SEqz3CnJkv3/rKvzVGx9jcHIhfo7eVjvODPuYbbNsEdBoOHQ6LfjF6CzufeadeFvf+s31uDw5nybXs6O3BW9cGMd571xSifuDO3vw7dfPx206tKsHnU6zSLlaeUqqJvbR/ZtXFCRnpBZY/qfl8pNESiST7wLIKMmUz4eIrPb2be1Cl6sWW1a7ks6b+t4Opwm/f+uqpLKnj2xbi2+d+BjT8+GkmMvWTqYbcfEY/QCHrlYOEvqc1f9nhv144Mj7We3JJjcj5RixvOSyGksqPaU28pWRyiZrJjysmviefVtXMcf0nHcWh1/7OO7LPznjwed63Un5WphLHrp9DVa76pjnifI8fnJ2NOm4Q7t68BcnruX5xPPkI4kk9JfQZqoN730yE7+WJ+6+HretceHVD705yzEpLeNUqLwewaZU/ZptXSf4JEs+85Fta5kyh+e9s5gMhJPWWE/cfT1mFhbx1b9/L6MUZ6fTghMfedPWYYVIpUqd4wW7gotRZp8sRnl8/vBPc56LFqM8YjFedQ+8ttnZ19tCsjay47TomZIR9Wb6VrWcLG8w4fZeN37vuXfjcX5gRzc6G+SXheqoZ8fPsnqKH6LyUFJqhvb2CLUhJiW+a12rrA8dtdrZcepW8bqtxcaea9Uqg9VUZ0BXsxVfSdj73re1C4216syPCwuLeOmsF4++mCCZt6MH23uaYTLJu0ZusRtx44qGpL5VuyQhoW7kWk+RpBpBEARRdei0GmbpyxotTYu5kqlkaS5SEqz3Hj5xHtv6WnHgpQFs62tNO0e325okn3P89DAO7swspyPWVv8QW66nf8SH/iFfWlnJR4+dTbLp4RfOYnw2XFRpq0S7j747lNZWNcpDsfyvt81WcBndTL5bDIkU1jmffO08+od8aedNfa8QI4nHPvbSB9i9oS3NtlzakWKjEKMPHzuDx+/og7FGg6PvDqXJfOzdsiSFI8WebH0p5RglSykTuSNlDFPf8/ypdL/at7ULPzw1FD/Hk6+dx/23rkzL14KfPvj8+9BqkOYbj9/Rhw+G0/P8wy8k5/nE88gtG5p6LQ8+/z4GPPnJQyot40TxVhxK1a9S13Us+czHXvoAD92+Ji3/h6N82hrrweffR/+QT/RciXMuax1WiE9LneMFu54/lb7mevyOPjxy7EzWuUiYGxP745FjZ1Qqq8Yx8zQHdT1YVQ7MhSLMvp4LRUtsmbrwL0Sx/8XkNfb+FwfgX5C/nyMxMMc0mpuKAUGUBUpKzdDeHqE2xKTEBzzyyn5FYzxz3ompeN4xXL3G1Gs26tWZL6bnF5kSSdPz6pTNOzPqjz9sBFzdu3/xLM6M+mVvqxolCQl1I9d6iiocEQRBEFXHlakF/ODk4JIEUTgCk16H775xAb9760qsW+YotXkVRSZZnVzkQMTeK8gzcVzy61OBpZKOLTYT/u6+m+APhlFvMWCNy4qNHY6MEj9iMlwOsx67N7TF2zr67hBG/UFRia5Um8KRGDQa4E/uXIfhmQW02E2oNWhwOUFKRKo8F4C01xLt9viCeO7tJSmFvlYrulx1VSkPJeZ/AAqSN8vku7xMkm1S2ovxSJNeSX2vmIRZe70JX92yCkffHYrHyznvkuzN0XeH4mXmhXbGZoPxD5QnAyHotRrMh6NM/0tsh+OAwckFtNqNcfmbZqsRt61txvmxWZwZ9uO5tweT2hOuKR/JICnHFCr3RRSXbGMYicTg8S3g/s0rACDurz8548H3vnwjxmZDaKoz4H++/GGSXEJwMYaFUCTjXDLqD6b5xmQghPNjc5LyvHCexHgRk1MSkzVL9U8OHB448n7atYhJRGTLNUpLcVG8FQc5+zUXiT2p67o6ozYu5wRci1OdhsOz927C25emEIrE8Nzbg7jjhjbmGivGL/1fbB4bnAyAB48bOhz4T7+8CuFoLN6OFJ8Wu26pc7xgV+Kai+OAzasaoNEgqZJT4jkS56IWuzFJ9kqYD9UoOTg0s8CU+WqvN+P6drq/kpPhmaU5UbiXNet1eOqNC2hzmLGho9TWqYdREWkBb47SAlIYngky44fGVH6UlJ2tVkZmgnj1rAd/fc8NmJlfhN1cg2fevFQUqRna2yPUhlKShEMzC8y1hJrXbZ9MsdeqKxos6G6xl9o82cnkS2rEq+C6rRolCQl1I9d6ih44IgiCIKqOZqsB58bmsPcH78VfW5LbUWdZ0WIjJquTixyI2Ht5/tq/Ah1OE4Zngvjtp3+G4OI1GYveVrskiR9WW1aDNk3OY9/WLjRY9KISXYk2GWs00Os0+MZPPmJKXKVK82SS5/rWb65HOMKnSX2sdSdLAXl8QTz95kW8vHez6j60ygWxMS9EOiub78otcyPWnoZDkvRKLMYjEuWZ7039/crUAp5+8yIe/JXrMDEXToqXvVu64h96Cu001hrxysAoHn/lQ3xhYzsOnzif0f+EdoQYrbcY0vqc44AHjryfdoxwTflIBkk9Jl+5L6L4ZBpDVgn5vVu68MrZJam0RCnMfVu7MD4Xjj+oY6zRwGzQZfTTpjoj0zek5nnhPM1WY0bZsmyyZok2XByfw/R8OKmPlkoXs8vcZ8s1pZDiongrDnL0az4Se9nWdQ6zHnXGGvz5v6ZLF65qWjrmL//Px3EfrBVZY2mvNm+q0TB99tJEIF5dLHX+mp4PZ/TpTNedyxwv/N/jC+Lbry9JHu5e35r2vtRzCDgtBjz95kVF47FUuK1GpsyXXNLCxDWWOYz4XK876V5j39YuLFOxDEopEJVeKYJchstqEIkf2p+QE6VlZ6sVt82ITSucSXKE+7Z2FUW2iPb2CLWhlCThMruJuZZotcsvG1outNhMzLm2GPN6OdBsZUskqTU/usUkoYpwvUpKhxKEEsi1nlJnvTiCIAiCyIBZr8WBHcllAg/s6IZFry2xZeoiFzkQ1nv3bunCS/3D2L+tGy/1D8dff2xnLx462p9RxiJXu9a02JilZufDUTgt+rSyuwd2JNu0f3s3xmeXPvRmSVylSvNkkufqH2LL6ERj6VJAJFtTHDL5bjFkbsQklpxmfZL0yuXJAB4+dgaPbFsbf+/x08NpZU8TJcye+Jdz+MDjT/KnwyfOY/eGtng7fW02aDXAg8+/j219rfEPd4X3i/mfEKOZ4jqTnEw+fUnyTZVPpjFklZA/fOI89jCk0p587Tzu2tgWP8e+rV146o0LTEm/bH7a22ZLO+6Ptyfn+cTzRGPIKFuWi6yZWH90u615+TrFCJGInBJ7gm/dtbENj730QVqcPrazNz5PJuZ+ngczfte22q4+9MqW4mp1mNPmo8MnluI+m09num6pczxLIvSbV6VypcZZNcWjxcAuw15roG1HuYnE2DEV4bMcSOSE3VzDzE0Os/yyULUG9v5ErYH2J+REadnZaiUqkqOKIRFoEtnbM9PeHlGhKCVJGAPPjFMe6l1MaDVs+VKdSh84tZnY+dFmUmd+NOjYknmGGvnvRZSUDiUIJZBrPUUVjgiCIIiq4+LEPIan5vD9ezctyUVYjfi3c16Y9Tp0t9pLbZ6slLJkeKosR7PViGgMePfKVJpcU+J7vf4gzHotwtEY/sMqJ3iex+HfWB9//2QgxJTxEOQpsl0zSy7k47FZZjnU8bkQfvTuEP54ezee+tJGBBejsJlq8L9f/xj/+bZPJZWZ/OzaZvzBZ1ah3WFiylalSvOMzQah1XBp1yIm4TY+ly4FRCXgi4OY7568NAmX1Yjb1rji8mGJMm4Xx+ckx1qqn962xoVnv7IJl8YDMBt0GJqex1+9cTHJt73+IAYnFzAbXIz7zWpXHZ564wLuu2UF2utNuDK1kCZhFkvZMwouxtDdUofv37sJLqsB7fUWnLw0GffTbP4nxOhiNIbbe5ozSgS215vw1c+sQmOtAWaDDsMz8whH+Pg1SfXpxPOuddfhn762GeNz2eNASg4kaYX8yLffxPL95clAUtlvt82I3RvaYNBp4KzV44HPdmEuFE2SVOptteEHv3sTmuqM0GqA5Q0WXJoI4KufWYUYD3Q2WDAyM4//dec6NNYZROefLatdcJj0+JM712E+FMH4XAh/f3IQ2/pa0ek0w1CjRZ1Bg+99eRM6ndfiJZFEOaVssmas+E/NKflKapHEmbrJNe5y9cVs51vtqgPAM9c5NVoufmyilFi9Wc+0QctxeHnvZpzzzuLA8Q/S5A0e2NrFPK6nxYbPrnFllDBMve6+Vivuv3UlPvD4MRuM4LOrm5gxBwC3dzfDee8mnLw0hRWNtfizu6+Hf2ER43MhtNiN8Spma91L8+hiNIo6Qw3mF6PxB5qEc1VTPF6eXMA7FyfwN1++ERNzITTWGvDDd66g3lyDT7ntpTZPVXh8QaZMoUelEhmlYmw2xJReWd9ux8qmOlnbujAuvj+xVoUyL6VCadnZamVslp2jxueCWNkkbz9fyrC316OyvT2iOkiSJAwswm4pjiTh8Aw7H47MBLG+XbZmyopPphdwftS/tFadDaGxbmmtuqLBorrPAgDg4sQCTl64tjZvqDXgR+9cgd1Ug+ua7aU2T3YGRSTz2uvN6G2TVyYwMU6nA4twFClOCUIpLk3M4xcjM3jm3k0Ynw2isc6Ifz4znPN6SvYHjjiOcwH4/wC08Dz/OY7j1gL4NM/zT8vdFkEQBEHkw/IGM+bDEfzO965JDB3Y0Y3lDeZSmyYr5VAyXJDl6HRaMso1CTZlkw6JxXicGfbF5SkSZTya6oySrzm1rdlghFkO1W7W43O9bvzm0yfj53v8jj5cnAyklZn8/V+uTWo3VbYqVZqn2WrE6aH0a9GISPuISQERxSHVd1k+JYxDrrEm9v7Vrjp86W9+Jiq9IsjAzIWicb/56pZVODc2h/5hP766ZRVTuiXVBGONBp9qtib5kXBu4e/5+B/rur55Rx+sRh32Hx9gltSXGvf55DIpx5VDnqxECu03jYZDp9OCX4zOxmXSOpwm/M/dvTDWLEk23XNzR5qU0vHTw7jn5o64pNLKFN+J8ekyfh1OE9w2E/7Lj05nnH8cFj1+62quFzg3Nof7blmRJl+ZTZIp098z9V1qHOSb82muUCf5xF2+vsh6MDP1vanrnETprEQpsa9uWcW0wWU1xn2UJW8gJpHoshrSHjZKte2pezbGj+1rteKLmzrSpG53rWtlxohGw6GxzpAkCye0/fnezUntOcz6NLm41D6slnjscJpw44oGfCVB+nL/9m6016tXmqNUtNqNTJnCVpJUk5WmWrbMWYNFfmmOatmfKDWlkJ2tRprrDMwc1VRLsUMQ2VBKktAtkg/VLIW7otGEm1Ymr1WX8oU616rt9SZ0NVuTrnff1i60qXRtrqS8s5LSoQShBO31JsyF7Phywnoqn3v5YtQ2fgbAPwNoufr7OQAPFKEdgiAIgsiL+XAU+19Mlrza/+IA5sPRElsmL+VUMlywRUyuSapNlycDaXJqiTIe+V5zt9uKQ7t6ksuhbuvG8PR8Wpnhh47247GdvUnv/R+/3ovHX/lQVLbq0K6eJGkeQZKHdS3rltmrRn6jEpDiU7n6ndj7tZrMsnmCNMvx08PYu6UrTfKFJf/yxN3Xo6/NJln2JfHcmd4v9bq+frQfE4FwQSX1843rYowdsYQc/ZZ6jm19rXji1Y+wf1s37trYxpRSEuYQMUkllnyRIMOZbf7JJO2Z2lY2maRMfyefI/IlH9+RyxdZ701c52SKEbG5KVO8HNrVg+//+8W0+ejQrh50u21ZbXv42Jm4rNv9t65kSt0OeHwF99vuDW1p68Rqjef5UAwHjif384HjA5gPF0FDp8rRcGy5InpOWl4WIlGmNEcwIv+ewYLI/sSCyvYnSk01yVyWkqmFRWaOml5YlL0tih1CbSglSdho1TPlc5qsenkbKiN88+x84VtQZ75YCMeYvhRU6dq8t8WGgzuT9/UP7uxBX4sty5G5o6R0KEEoQTjCvpcPR3Jz6mJIqjXwPP88x3H/DQB4no9wHCcpa3McZwfwXQA9AHgAXwHwEYAjADoBXAZwN8/z0/KbTRAEQVQLXn8o6VscwNJE6vWHSmRRcSinkuGCLWJyTVJtErsmQcZD7O9TgRB4HhicCsCi18VlpIRvn+t0Guxa14quplpMBkKoM9RgZn4RFqMJDrM+SaIguBjDfDiCv7vvJviCYTgtBsR4HoOTC2nt9rVa8fLezWh3mLGh3ZEkpyEmyQOgauQ3lKBQuSwpcZRrrIm9f2IuhNWuOvzlb22AxaCDqy7ZT+PSLM11mAqEcGTPzZgPR1Fn1GFjhwNzoQg6nRbctrY5SW4sFuNxZM/N8PiCcNtM6HZb45IwqbJOqecWpKoEOTmh/1j9KnZdZr0Wf/CZVXmX1Ged12HWY3w2lHFcizF2xBK59psUf+E44NSgD+HIIH731pXM8wtzSLfbhtXNbDmo1PwpyHC2O0zMc57zzgJA0rGZZAOB7DJJmf6eTRZUCUhGsDLJJ19l8sVczif2XmGdky1Gmq3GpLmp3WHOKCsorJsmAyH83X03YTIQRmOdHpEoj1c+GIXbakRviw16vZZp2+DkAlrtRry8dzM+8PiZto/6gli3LL3PhPhwmGtwZM+nsRiNot5iSOo3QSpGLK8k9mG1xJtHxEdG/STzJTdDIjIowzNBXK9SGZRSMJRBekVuqaZRkf2JUZXtT5SaapK5LCViso+jRZB9pNgh1IZSkoTD00Gm3FaH04z2enXug4jlC7V9FiDg8YvkYpWuzfV6LbZ1u9DpNMPrD8FlNaCnuQ56vVb2tsZm2WvxYkiHEoQSyLWeKsYDRwGO45xYemAIHMfdDED8q2PJPAngFZ7n7+Q4Tg/ADOD/BfAaz/Pf4DjujwD8EYCHimA3QRAEUSW4bQZm6Vi3Vf4Sz6WknEqGC7aYajRMmxprpdkkdk1CiVTW3zucJozMBPHbT18rC7lvaxe6XLXYstqV9NBRb6sdrwyM4j/9XfJ7n31rMP7QkbFGgzPDfjz95sWrcm4f4MFfWY0OpynpoSNjjQZdrrr4B06pchqZrqVa5DeKjRxyWVLiKNdYE/PT4RQ/feLu69Fen/yNW6m+IdzkxmI8Xv3Qm9YHt61xMV+XIhUnduxqVx3zuuqMNfjzf00uqZ9LqeHU/nLblqREEkvns8a1GGNHLJFLv4n50Vp3ur8YazToH/bjI+8s8288L7zHh31H3sOhXT34ixPnMTi5kObDKxprk2Q479+8gnnOM8N+PHDk/bRjs5EtFll/j0RiuDK1ICoLqgQkI1i55JuvxHw1l/OJvTdxnSOl3ZVNtZJlBRNlTV947wq2rnHHv5UsfGN1V1+LqG31FgNWNNaKyuY226Tnqw3t9fH4EOagJ187L5pXhD6spnhrsbHHgaQF5KfFzu5rN8OnifxRUnpFdH/Cpq79iXKA7rOLzzK7SUT2kWKHILKRuM7Md/9EajssuS01r9uaRfKFS2WfBQgomYvLgXA4ipcGvHj02Nm0+0W5HzpqqGX7krMIsrsEoQRi66nmHPNjMSTVHgTwIoCVHMf9G4BnAXwt20Ecx9kA3ArgaQDgeT7M8/wMgJ0Avn/1bd8HsEt+kwmCIIhqQqfRMMuj67TFmBZLRzmVDBdsqdFwzL6X2vX5yNg8trMXX0+RLnvytfPoH/KlSV6wZDmefG1Jvkc4394tXfjxz4cQXLwm8cOSWcvW1+U0PmpFDukiKeOU61hmkn0qxFYWYn0w4PHlLTcmdixLEu6xnb147KUP0mIql1LDqf1110ZpEjbFGDtiiVz6TcyPorFkfzl+ejgubcmSYBLkzRJz8MMvnMW2vtak86b6sBBXR98dSpNnSjyXEjJIAx4f/vs/nknqi8MnzuPAjh7FfI4k3SoXufNVLueTs+18pNx+6+blaRIIjx47i/4RX1bbWLK5LGk2qbYlltBn5ZXEtqsp3kw1GuzfnizNsX97N8x6dd1flQN6LfteVq+jvpYTJaVXakT2J2o0NKZE5RHjeabUDM/zsrclurdHsUNUKEpJNVWjJFStXsuUkas1yF8BpxwwG3TMMbYYilGDpPT0j/jiDxsByfeLchMIRZhzTyAUkb0tglACvZZ9L2/I8f5S9uzC8/zPOY77JQCrAXAAPuJ5XopI73IA4wC+x3HcOgDvAtgHwMXzvOfqe0YBuFgHcxy3B8AeAGhvpxrCBCEVih2iGvlkegHPvjUYlzTheeDZtwbR5jDj+naHpHNUQuyUU8lwwZb/c24M//0fz6b1/fp2OzobxL9lKMhRTAZCaK834fv3bsJ8OIJlDjN0Wi5J7in1msVkQGI8MBUIQcMtyewFwhGAZ0u+dTXV4cnfWIdz3gCee/tataPg4jWJn3Akime/sgmBq7JW0RiP/3NuDBa9Ds02AyLRpbKriXIaqXIj0Vi6dJUayTd+IpEYBjy+JGkwXYbFrxxyWVLjKJMUmpRzZrK102mRLMeSKt0idt5PpheYr08Glsqlev1BaDgODrMejbV63H/rSiyEIrCadAhHo7h/8woA1+SglkqtBiVfl1ipYTHpmdvWuHDkd2/GsG8BWg0naVyljF055UkplMvck0u/ZfIB4RxTgRBqtBoEQlEc2fNphKNR1Oq1cUmlxloDZkOL2NbXmpaD2+tN+OqWVXjjozFsvq4pSSItsW2PL4jn3l6a+9e46/ChZzbtXN6r5cWzxVqqn7Y7zLgyPS/6u3AeIVZS+wJQTnJJbDwS+61c/b9QyiV+8oUVd6nSZFJ9lrUOSY1jluzmyznmylzkN1N9MBbjMT4bwv2bVyAQjDCP8fqDov1yaSIQl9Ltba3Ds1/ZhIm5EFpsJjgsNXhncIopFZrNttQS+jGex4Ht3Wh1mNDmMCXN/2qR7ZQSO4NTC3j1rAd/fc8NmA4swmGpwTNvXkK9uQZrWuwKWqt+hqYX8JMzHnzzznVYCEdg1uvw1BsXiiL1Vc3IJb0iJX6uZNifWCdxf4KQRrXIXJaSYV8Q1zXVxu8fzYalHDXiC2J9DueREjty7O0RRDkhh1STlNhRSrqtnLgwMY9XziytVWfmF2E3L61Vaw06Va5VJ+ZCzDGeDITQhbrSGlcERkXuu7w5SshJiZ+hGfbc015Pcw9RmQxOLeCcZwbP3LsJ41f3VF45M4xagw59y6T7tOwPHHEctzvlpes4jvMBOMPz/FgWWzYA+BrP8yc5jnsSS/JpcXie5zmOYz4Oz/P8dwB8BwA2btwo/yPzBKFSKHaIaqTVbsT0fBjffv3j+GvGGg1a7NJLx1ZK7JRTyXCNhkOn08Ls+0xyIIIcxeOvfIgvbGzH4RPXysFmk9NJbCO1LKRFr8XEXBjvXJ6Of+tj39ZVzPeeH5uFy2rES/3D8Q+nhb8JEj/nx+bA88CJX4ziNzZ14OEXrpVx3b+9G3/1fz9Os1MYH0EypBokN4D84icSieGF08NJ/XpoVw92rWsVfehILrmsTHEkJpeSKoUm5ZwsWxtrjZJ9g2XLU/dszChNlfh6h9OEK1MLuCdB1u2//upq1Jv1+PqPTif58xsfjeHc2Bz2bunCc28PYno+jKY6thyg1DGQKuEmFqesc0rJgeWUJ7NRTnOP1H7LFIfCvPCL0dmkcf+TO/vg8QXxxL+ci7/2v39rQ1yKLPE8V6YW8FL/MH7/1lU48NI1uaVv/eZ66LXapLY9viCefvMinrn3Rua5FqM8Pn/4pxljjeWniXNRh9OEr23pSspVwnncNhMz7qYDi/j9v83crlyIjUeqtBzNPeVJYtxJlevK9j5WHEuVPcsE6xzf+s31MKTEJZDug1LzviCpm61f9m3tgrlGi7/590v42pYu/MWR5LWj0N5Ho/6stgnyoQ6zHvfc3JG0Lk2c/2MxHpEoL8s6pNRIiZ02hwmbVjjxe8+9m9TvrQ51yjaUkg6nCZ/rdSetzfZt7cIyJ/W1nLjFZAJzlK6TEj9um4F5j6w2yfdSU00yl6Wks8GML97UkXb/2OE053QeKbEjx94eQZQTTXXsuaexVt796sZaPVNuq8GiL/AKypcWmxFvXZrC6+cm4q8ZazT46pauElpVPKptjEXlnYuxbrOy5x6XiiUJCXWzstGM+bAdX/7etc8DDuzoxsrG3NZuxagveR+A7wL4ras/TwF4CMC/cRx3T4bjhgAM8Tx/8urvP8LSA0hejuPcAHD130wPLREEQRCEJFilL2mLqfjkI8khyFFs62uNf6gDQJKcjlib+7Z24fpldnzg8SeVmH3+FFvG54enhvDYSx/godvXMCV+9m1dukE9fOI8vvT/rIh/0CzYdeD4QFbZn2qR3MiXAY8vrV8ffuEsBjzi5XGVkMuSa+zEbNVqkLP0TFIfHTuDx+/oS/Pbp964gEe2rU16/aHb16TJPf3JP3+ESwkVHwR/vv/WlQguLslB3bWxTRYZHqkSbqw4JRm08iWbD7DG/fzYXPxhI+G1Pz4+gP/5671pvvzjnw9hW19r/GEj4f39Qz48cuxMmtzRI9vW4mPvbFpcPH5HHx45diZrrDHjLGEu2tbXmparhPOwpJ3+eHs3/ts/Zm9XLljjobS0HCEPUueffOYpOeY21jn6h3x4WCQuE31QSt4/uLMHfS3SZNGefO08JufD8fhMXZMJ7T1/Krv0oiAfetfGtrR1aWIfXZ4MMK/18Tv6VDlfGXVapmyDUadOmYpSMheMMvs6EJRf6quaqdGypcBrtPLvGtSIyOTVkEyerNA9tzIshKI4cDx5XX7g+AAWwsXJUbS3R6gJrYbt01qZp4Pp+UXmWmJ6XopQTWViqGHPtUaVyv9W2xjbTTXM8XWYamRvq9GqZ8rzNVnV+TAXoX7mQmwp6blQbmu3Ygg26gCs4XneCwAcx7kAPAvgJgBvAHiOdRDP86Mcx33Ccdxqnuc/ArAVwAdXf34HwDeu/nusCDYTBEEQVcTwTFC07PKGjlJbVzqUKC8uVYYn0Ra9VoOvfmYVGmsNzPKo7Y4lOR1gqTysmKzS6q9txpWpAMx6HVxWAzy+IGIpEmoe35JvPPWljTh5aQo8jyTJnWgshr/58o3oH/KhxW7CyMw8tvW14tm3BvHA1i7cv3kFOLBl2Tgu+fdEO9UiuVFMxKSIRn1BrFvGPkYJuaxc5YlYcQYsbYA31ulxZM/NmA9H4387eWlSsm94/eyy2K12I17euxnnvLM4M+yP+/Tng4tJefDjsTlmW7GU7/QEF2NYCEfi/1/rtmK1i12SWQ7prdSxF+L0T+5cB72WQ5erjuQQyphsMlALi9G0cY/xYPqyw1LD9GVB2hJYqkiwe0MbWm0mDE4uxGXUBD+fDS5iLhTFp9zWJHmoyUAIg5MLSXawYk3MTwU7E21hnWfXulZ0NdVi1BdEs82IQCj9+uXM/6ycI4xHaj/K3TZRXKSuHfJZYxSyLonFeFyZCmB4ZgEHtndjIhDC3759Jb7uEovLRB8Uy/vf/dJGzCwsotlqRF+LDXp9+sMsmaR0hfg06DT4g8+sgkGnwfIGC7xXpduOvjuUZNtqVx2eeuNCUi6amAvh9u7mtG/QpvaR1x9kXmur3ajK+Wp8ji0/NREIYZUKZRtKiZjU12iOUl9EZq5MseUyljnMWJeDtEAhbbUVoa1qhu65lUEuOUIp0N4eoTaENW+qT69vt6OzQb48VY1riU9E5toVDRZ0q1BSrdrG2DsbEo2dFU3y3osMTwfxi5Fr8lONdUb885lhdDjNaK+n9QRReXhlWrsV44GjZcLDRlcZu/raFMdx2R6f/BqAv+M4Tg/gIoB7sVSF6XmO4+4DMAjg7iLYTBAEQVQRLiu7ZLmrikuWK1lePJsMT6ItDvNSCdhvvf4x7t+8glkeddi3gG+d+Dj+7YVmRglTjYbDyqbaJC3yGA9ouXS5p+n5MKzGGnz3p+lyO78YncOnmjn8+b+eE7VDTPaDT3hoI1VOQy7pLzXDkiKSUh632HJZucgTicnLhCN8WuzdtNwJjYbLyTfcNiO7ZHKtIb459cCRa9/qnQtFk2SlvrqF7bupKcBYo4FJr4v//wOPH5cmAuhy1WLLaldazihUeos19tPzYZwfm8Wu61vpA4IKIJPcEStnNomU/zbWaOMP6SX6MoA0iSNhzvD4gvH53lijwZ5bV0DDAfUWQ17yf2J+mprjxc6j02mwbpkj/qDkxfG5ouV/KbJYrH6kuacykDo/5LPGyHddEovxOPGRF+e9c0nx+4efvQ7P/Pvl+LorNS7vu2VFUjtieb/FbsItXY159YuGA6Kxpf93NdXiDxPiYu+WLhw/PYx7bu7Ac28P4tuvL60rH/xsF27vcSfJpnU11WJD+9IDxZn6SLAj9Vrv2NCa0f5KhdayyuGyGph9Xc33ssWgRUSqKVdpDinQ/oQyyCFVRGTHbVMuR1HsEGrDJSLVJPd6qhrXEm6bSbF5vRwQy8VqlWtVKnaApTXide5k+an927vhVqkvEepHrjmhGPXi/g/HcS9xHPc7HMcJFYn+D8dxFgAzmQ7kef59nuc38jzfx/P8Lp7np3men+R5fivP8108z3+W5/mpIthMEARBVBE2k5ZZ+tJmqt6S/+VUXjzRlt0b2uIfWB19N13mYt/WJbkzweYnXzuPaCzT2a/R6bSgt83GlGbqdluZMmw//vkQvv/vF3FwZ4+oHSzZj/3bu/FS/3BSG4lyGkpIf1U6LCmiQ7t60O1Ol1NRklzkicTkZTLFXi6+EY2BWTJZiInUcx0/PZzUp6m/G2s0+NO7rkdXU22aP3/3jQvxa/3hqSE8+dp59A/5CsoZYtcqFo99bTaKkQokNQ5YObPLVcf05ZnAIi5PBkR9OVHiSGzOaLDomb4jNdZY7zu0qyee41lxlCmfFzP/Z5vbae6pbArx2WzjnK9vXJ4MoH/Ilxa/f/av53DXxjb0ttkyxk+mvC/VN8WkdJ1mPV7qH8Yj29biG698mGTf4RPn49K9uze0xdtb22pLk0176Gg/Mw+l2lht8VVt11tKHGYtDqbcyx7c0Q2HuXrvZYuBTqOcpJpdZEztNKayopRUUbVjMWixf3uyP+/f3o1ao/z+bDWy9/asRWiLIJRAqfVUNe6Ll+ueYrGo0YjItap00lPyXmQmsMiUDp0JqFOujlA/cs0Jxahw9AcAdgO45ervpwC4eJ4PAPhMEdojCIIgiJw4551nlr4063VY3WwvtXkloZzKiyfakihN4/EF47IUva1WOMx6PHDk/bgEh2Dz+FwQyxssWeXhNBoOv9zVhGarET2tNoQWo2isMyAcjWFwah7dLXX4/r2bMB+OoM1hRigSxfIGC9w2E1Y31mK1qxbDMwuoM+hwesiHO25oA7Ak+/PsW4PxY816HZptBmzq3ITxObaklBLSX5WOTqdJkyLqdtug06XfLIvJAxZDNjBx7MTkiQazSEdlir1cfGNslh3H43NBrGxin6vdYcaGdofo751OC2IxHu31Znh8QTTWGsCDx62rm7D5uiY89/YgAOC+W1ag1WbC5FwIGm4pXnPt40zXypJFbK+nGKlEUucboWz89+/dBB48muqMOOedZfqyL7iIqcBSSV+HuQZH9nwai9Eo6i0GtDvMeOPjceac0d1SB5upBuYaLWp0GswGI/EHBgQfkhprUuKozWZCV1MtPL4g3DYTut1WUV/N1K7UnCW8bzIQgl6ricsyTgbYZZHzyS9E+VGIz2Yb53x9w+tPl6sFln5fv8yOX7quCQAyxk9i3pfafizG49JEAINTAVj0OnS31OGlr96CC+MBRGIx6LQaXJqYw7a+VswGF5nyicKas691SW6x02nB2xeTZU0FyUZBNvW2Na4kacZsOSVRTrJY8sWlQqPhcNsaF47suflq7ltap6nl+sqJj7zzCC+G8ey9m+CdXfKlc55pnPPOo8tlL7V5quGTabb0Snu9/DJn57zzGJqaw/fv3RTPF/923guLQYfraExlQympompncHIBr5714K/vuQEz84uwm2vwzJuXUG+uwRq3Xda2zo+J7+19Sua2CEIJlFpPXZpYwCtn0uPUbqpR7b64TqfBr61tRnu9GV5/CC6rAb3NVuaeohq4Mr2An5zx4Jt3rsPC1b3pp964sCQN264+uVYl9zY8/iAcZn2S7PbRd4cw6g9ineytEUTxOeedx8kLE/ibL9+IybkQnLUG/OidK7Dk+Fmp7A8c8TzPcxx3EcDNAO4CcAnAUbnbIQiCIIh86ag3YS6UXvqyo95UatNKRjnJIKTakvh/jy+Ip9+8iJf3bgawJK+RiLFGg2arUZI8XCzG49UPvUnSbV/9wXtJ8j3PvjUIvY7D17Z04eEXzqadz2aqwb9fmMS3Xv84SZbjyKkraKwzYEWjM8m+REm3VIot/aUGUqWIWIhJCN22xhUfb7llA4WxA9jyRO99MoPDr7Hl9liyfqmxV6gkWbZzZftdo+GS+v3C2FxcctBtM8YlrFJjZ3o+nHMfi10rSxaRqExYfjo9H76aM5fGdzYYYfqyw6zH8EwQv/30z5LieEN7PTQaLk3iKHHO6HRass4NUmMtUxzlI1HKOp/U8wjve/yVD/GFje1Jsfj4HX3ocJqSHq7IN78Q5UkhPivXuRNxWY2i81pHwoZvtnknl/ZZsbJvaxe6XLVY3VyL25/8aZItmaRvhQprQixHY3z8vaz5LlWiMFMfKilfXAoS19VqvL5yYmWjGf2hCL6UcC97YEc3VjSYS22aqnCLSHO4GPLdhdLpNGM2GMHvpO5POGlM5URJuZVqps1hwqYVTvzec+8mzcutDvn322hvj1AbSq2nWmwmvHVpCq+fm4i/ZqzR4IFfuU62NsqNcDiK4wOjePTYtb3dgzt7sKuvBXq9+io7tdmN+FyvG1//0enkXGxX75yn1N5Gm8OEL326I0lCvFjzHEEoQXu9CV3NVnzlmXeSfHpZjj4t2+ObHMddx3Hcfo7jfgHgLwBcAcDxPP8Znue/JVc7BEEQBFEooUiMWfoyFJGoxaVCykkGIdGWo++mS+0IdonZHI1BkjycmHSbcMyTry3Jamzra40/bJR6vmgMOPjSB2myHI/t7CUJiRIhJiE04MksXSYHYjIumeT2WPIy+caeUnGcKEewe0NbmtyMEDullGYkyhcpfsoqdy5IMTx0tD8viTClpEPlakfqeYT3CXJQqdJPj+3sLYu5nagOMsnVFsvvWLEiyHxGY0jLCfVmPf7ws9clvbZ3Sxde6h9OsvPyZAAPHzsTl2ZkzXe5xHY5yRcXA7VfXzkxG4xi/4vJ97L7XxzAbChaYsvURW+LLU1G++DOHvS1yC+9shCOMvcnFsI0pnJSTnseasao0zL3Vow6+T/Qp709Qm0otZ4Sk5jUqfgh8f4RX/xhI2Cpbx89dhb9I74SW1Ycag01zFxca6gpsWWVj5LzHEEowWIkxvTpxWhu6yk5Kxz9AsBPAWzjef5jAOA47g9lPD9BEARByMKony0xMuoPlcii0iNH6VE55KqEcyRK5TTUGnDb2uY0ObJYjMdqVx2e+tINMOi0CIQiaHeYMTIzn1FCRmjjnHcW929egaPvDiVJtyUeI5RGZf3N6w+K/q1GyykqmVEMqbBKRUwecDIQipfPB5bK3QLA+GxItN9y7dfUOOLA4YEj7wMA/uAzq8BxQIzn8Xf33YTFWCzuzwByko1JtQlA/LXVrjq8sm8zRv3S4jjb+VjXnShH0O4wZY2dwYRztTvMGJyax+BkAEa9BgatFs5aPcmjVSj55B4xibxEdDoNtnW70em0YHw2hFqjDvXmGozNsudvIR97/UGsaa7D83tuxkiCnBmw5NOZ5ga5yCRR2u4wY8DjS5JaEyvhzspZHl8wzV6hPbF5rEbLiUo+EblRyFxbLfO0RsNhy2oXVjXWYkO7A/PhCJY5zNBpOZy8NJnTtYv1WSQSi8dRY60Bs6Ew0/djPDA+F8Tt3c1w3XcTJgJh1Gg4TAbCiMQWsW9rF9a461BrqMFUIITDv7EhSf7Q6w9icHIhLs0oNt8J8mrZJA/FpCJLIV9cDLz+ID7f7cKdN7ZjYjaExjoDfvjOFdVcXznhFbmX9VbxvWwx0Ou12N7djE5nsvRKMaogjPpDItIcNKZyki5VlFn2lsiP8Tl2jpoIhLAKdbK2RXt7hNrIdC8p53rqk+kFLITCcSlPl9WIN895MTS9gO5Wu2ztlBOjIn0r7CWojQkRefXJ+RC6ZM7F1YaS8xxBKIFHZD3lyXE9JecDR7sB/AaA1zmOewXAPwCgFTtBEARRdrTa2bJDLTb1lhWVQiGlR+WQiRA7hyCVkyillElC5tFta0UlZFht7N3SBY2GLf/B8wAnIg0S5XnEYuy/LUZ5fP7wTxWRlFC7REeusOSaOpwm+OYjePrNi/E++m+3fwqhaCxJuiCx3/Lt18Q4ujg+B72OS/PRtjvM2N7XknSefGVjnrj7euh1HL769+/lPP75ni9RjuCrW8SlaYT/C5JyHU5Tmjzhvq1dsOi1aHHMYctqV1X6bKVSaO75yDsremwkEsO/fLS04ZlYpvrPv3B9xpwryGMmHiP49JkhnyLSoWLShg0WA144PZzk/4d29WDXuta0h45iMR4jM8GknCXIdabaK7QntJParstqJMk0GSjE36ttntZoOHQ21KKzIX8ZMbHjPru6CS+eGUmLI9a6T8MhHi/jcyFcmggk5Yb/+qurEVyM4ff/9iTTNiG2PL5gxvnuzLAfDxx5P6Pk4YPPv4/7N69QJAeVirZ6I25e2ZBUhv3gjm60OtRxfeWE22Zg+lJzysO7RGFEIjH80wejkubtQulsYEtzdDpJmkNOSPpRGaTIfMsF7e0RaqOpju3TjbXy+nRXkwn+hcWk/bCDO7qxqkm9806Ljd23zUWQSi0HGizs9aLTTOvFQqG+JdTGMgc7P7blKMEo2x0Sz/Mv8Dz/GwA+BeB1AA8AaOI47n9zHHebXO0QBEEQRKFwYJeOpT2m/JGj7G8u58gkIXPwpQ/w0O1rksb38Tv6RCV1Dp84j0iUZ/rEj38+hOOnh/FYSjn9vVu68MGwD48kSG0If3tsZw8eOXZGMUkJkrBIhlUq/7Gdvfhv/5g8JpPzYTzxL+dE+02Ofu10WvDYzl6mzFE+4yNmU/+QLy878z1fNtlDIXZSJeVY8oRPvnYeE4Ew+od8VeuzlUohMZLt2AGPD+fH5tJK+v7Pn3yIR7atTcvvQs5lyWMKPv38qaG0fF0MGQ0xuY5gJJrm/w+/cBYDnvQS7pcnA2nScWJynUJ7x08PK3J91Uox/V3N5HvtovPTiI8ZR49u606bh/rabPG13wcef1pu+JN//ggfePyitqXG8vHTw2lSj3u3LM13YteVeB1H31UmB5WK0ZkQHk2R+Xr0xQGMzlCVCbmp0S7JjKbKjuplfgim2hnwsPMNa94ulGCYLWOQ+k1jojCqeT5WEiWl62hvj1AbYlJnWpmn+MlAlLlumwyoV8rTcLUvU/vWqFfn+mkutMi83rnQYoktq3yobwm1EePZcw+f43nkrHAEAOB5PgDg7wH8PcdxDgB3AXgIwKtyt0UQBEEQ+TA0c00OiOMAngeefWsQbQ4z1neU2rrKJN+yv4lyGQuLUcnnyCYh8/HYXHx8V7vq4LYZoNFwonZ2NdXBbNDgyO/ejPnFKJrqjNBqgPXtdjTVGeFbCCf5y3NvD+KOG9qSpDaEv9UadEnfspfaF/miVMnlSoElD8jqoxjP9h2h3+ToV42GQ42Wk218xGyKXb0DcNuMcSmG8blQVtkasfPpNJq4BBywJOmQaG9qHzdbjXHZw8baa7EjSMp5fEslqsXiNcYDyxwmTAVCVemzlYqY/yTKm4nJJ3n9QaZ0iOBnHl+QGaODkwuYDS7Gc+7mVQ3QaBDPuZl8zOMLJuXrzasacGNnvezfaBeTKH31g1GmbaO+INYtSz6HWN/WaLk0e+PtNddhKhDCkT03Yz4cVbVsVykoZE6o5nk69dqFeSqbDJmYpKCYFMJ8OII/u/t6aDUcbKYauKyGuFSn18/OJ4nzZ+JrwriwYrndYcaGdgfOeWdxZtiP594ejM9xrDFNvP7EHNTXakWXq05VMSoma0MyX/JzZWoBPzg5iG/euQ4L4QhMeh2++8YF/O6tK7FumaPU5qkGj4+db1jzdqGQLJQyVPN8rCQaDYfPrm7C3953E0b9S/eKfS22osx3tLdHqI1E+fpEn17fbkdng5wy4NW3bvtkaoHZtysaLOhusZfaPNkRy4/LKD8WDPUtoTaGM6ynNuTg07I/cJQIz/PTAL5z9YcgCIIgygKX1RCXAxJYkh2h0pf5kk/Z7FS5jH1b2VIVrHNkk5AJRWL49usfw1ijwZ5bV6C7xZrRzgGPD4df+zj+7bubljvjkiAAcHF8Li5tI6C9KrUmSG0I5/qTO9cpKpmhZMnySoElD5jaR8L4ifWbXP0q5/iInUvDLX2Ie8/NHfFqSt/96cWsEgFi5+tqqsUfJkgN7NvalVZmmtXHibKHnQ1LknLT8+Gk48TsH55ZgLFGiw0xXjUfvqodMf+RIinpthmZ0iGCn7XYTfjQ42eefzYYjef33etb468L7xPzMQDxfC0cWyxfY8WH22Zil3BnSD6I9a1LpNx7IZKohDQKyeXVPE8nXnvqPCWWHzJJCrpF+vIXo0vrtMfv6MNn1yTLc7qsRtE5PzUFpI4LK7aE/z9w5P2sY5o69h7f0nW9vHez6uK12cqWFqD7K/lpthpwbmwOe3/wXvw16mv5abGz5213EaSaXBQ/ilDN87GSRCIxpvxpMeQIaW+PUBuJ8vUCxchT1TjvuG0mZt+y7sfVQKud7UvFWMdUG8009xAqQ671lDrrxREEQRBEBuxmLQ7uSC5Df3BHN+xmbYktq1zyKZudWtL8+VPp0kxi58gkIZMq5yRIaojZmSj5JFZWnXVcb5sNf3pX8mt7t3ThqTcuKCqZoWTJ8kpFbPwy9Ztc/Srn+Iidq6/Nhrs2tqVJt2WTCGCd7/E7+vCNVz5Mk3SI5qHoIEWOZt/WLjjNevzw1FDeUnNEaRDzHymSktEYmNIhgp/VGXRwWvRpc8L+7d3x/C7EUTaJPyFGSp0ju93WNP8/tKsH3W5b2nspr5cfhYxJNY9n4rXv3iBtnsokKdjbYssoa8aaRzqdFvS22dJyw5/elX9ukDqm1TT2vW4bDu5IHpuDO3rQy8hxRGFYTVocSLmXPbCjGzYT3cvKSZ1Bx5QWqDPWyN6W21bD3J9w2+Rvq5qpppxcSpSUI6S9PUJtKJWn3HYDe96xq/eBiVzux9VAjZYtIUcSvIVD9z2E2qgzsO8v6wy5rac4ns9Vha382bhxI3/q1KlSm0EQ5UbWr3BT7BDVwkv9I7DoeVj0RnhnlyRfAqEg5sMcfq2vhXVIxviptNhJlDFjSa5k+3u28yZKyGg0nOj53rowgS8+dTLpHH2tVjz8a2sxNR+G22ZCt9ua9C24xHMJsmcTcyHUaDWYD0dh0WuxGOUxNR+G3VSDxrprkhosO1MlnwS+9+WNMNZok+xlXV8sxmNgxIdPZhbwoWcWP/750oNLX/p0B9ocZuh1GqxssECn5eDxSevPWIzHlakAvP4QAuEIOuotWN6Q/RhW35cBRZl7Ev3AbTMiGgPGZq/1LwBcmghgcCoAi14Hl9WANrsZV6bnk/oIQFK/tTuW3iP4qvB7of1ayPikxg/LJgD4P+fG8JVn0vvxH/bchJtXNEi2zbcQxr9+OJ4mY/NXv70B1yXIv7DiGkDcd/3BRdhMNWisNYDjgFH/tT4enJrHx2NzCEdjGJqex7NvXZOkyWZvrv1VRrGQD2U/96T6z2QghLv+6u2096WOa2L+T5QC3NzVgBs76nHy0iQefP50PJfOhyIYnwvh+mU2LEZ56HUaGHVaOGv1aK+/FstTgRD0Wg0m5sKwGHVwXZ0DhL/7F8KIxJbmDdYcI0dfsHxP+NtkIAQOHKYCYbisBnS7baLts/KGcB3Z/DufOJB7bVDiWCzq3FNILi+3ebrQcWLNUUMz80lrmI76pXnrnHcWv/+3P087R6b8kMgPfvcmfHplAyKRGD7w+DDsCyIS5TE8M4/v//u1eeRHv38z6i0G0flpPhxB+9W1FQDRccm2HotEYhjw+DAZCMFq1CO8GIPFqEM4GoXTYkhfjxh0aLYaEIkmr1nKwQ9SyHvumV8I4+zoLLz+EFxWA3qa62A26YtiZDXzylkPFiNhuKy18XtZr28Oep0ev9rjLrV5quGtCxP4zv+9gC/fshwzgUXYLTV45s1L+L1fXim2Vs177nnrwgQ0XAQcauJjyvOL4KEraF1MpFOu87GaeOWsB3/5+se4/9aVWAhFYDbo8NQbF/AHn1kllqPyjp089vYIouzJMU/ltW5768IEJmYDaWuJRqtF1fNOMBjBGY8Po/4Qmq0G9LptMBqLKgJUMl4568GRn13Bl29ZjunAIuotNfjem5fwG5vaVbteDIej6B/xYdQfhNtqRG+LDXq96AMTBe0ZBBZCGBidi9/3dDfXwmJS7wN7hLp5qX8EwVAI7U5rfE64MuGHyWDI6bNSdWZTgiAIgshAb6sZJy/68R9f/Fm8xPPBHd24aYW11KYVnVQZs1Q5i2x/zwRLdiLT+VJLmrttRnyu140vfe9nOdsGAK8MjOLeZ95J+tsNHfVpdgt2djot+LePJ5iST+99MpMksSbYkHh9sRiPVz/04sHn38f9m1fg6TcvwmHW456bk2WCDu3qwV+cOI/ByYWs/RmL8TjxkRfnvXNJ58g2BtUkp5PoBw6zPk2W6Ym7r4dex+Grf/9eklRTl6sWW1a70vpI6LdM/lVov+Y7PrnY1Om05CURkGhbLMbjeL+PKWNzZtiPB468jyfuvh63rXHFfV9437d+cz0ApPnug79yHVY0WrBl9TWJm5VNteA4xGW3crE33/6iDxKKgxT5Qta4CvlfyJmpUoBr3XWYng/j8Vc+SjrPd+7ZiP/4d+8yY7vTacEvRmfTxl946LTdYcYLV6aLIu8gZX5K/Vtvqz2jX7LmHCn+nU8cyL02UGssFjLXluM8Xeg4pR7f4TThv9y2GkPTC8w1DJBbfhCTFNRoOAzNBJPs3rulC8+9PQi9jsPwTBC//XT6WrKzoTYulZsIa1yyrccA4NUPvXj8lQ/xhY3tSTJxwrz50O1rktYjHU4TvralKykHqSEuBCKRGF7+wKuIhE61s8ZtwsmLi0n3TAd3dKNvmanUpqmKFrsRt/W48XvPXVt37N/eXRQpkg6nAW+en8ejL76XNKa3dFHlHbkpx/lYbXQ2mPDFmzrw9R+dToqdDqf8Oaqa9/YI9aJEnlrmNOKTqfm0tURbvXrltiKRGF4a8FTNWrXDaWKuY9rr1bleDIejeKF/BI8euza+B3f2YFdfS6aHjvJu658GxhRpiyCUoNttxjuXI2lzwhq3OafzqC+TEgRBEEQWvP4oHn1xIKnE86MvDsDrj5bYsuKTKmOWKmeR7e9ytpdaKviujW1pEjtSbcvH7suTATx87AxTki2bxFqqPUffHcLeLV1MWauHXziLbX2tkuy6PBlA/5AvYz9UO4n9vnsD22f6h3xpUk39Q76s/iCn78tBLjbJUXpbTMbmodvXxOVqHnz+fQx4fGl29Q/5mL77xL+cY/Z9MUqFl+MYVhu5ygyJSQFGY5Ak15YY29nGv5jyDnLPT7m2kc/7cjkm13NSLFYGhY5T6vHb+lpxfmxOdA0jlwwZy+7DJ87jro1teGxnb9o8lm+8ZVqPCTZs62tNy2GHT5zHtr7WtPXItr7WtBykprhQUkKn2qnme1klmQks4sDx5H4+cHwAM4FF2dsamg4zx3RoOpzlSIIoP+aCMWbszIXy0OjOAuVDgsiPkekQM3ZGpkMltqx4VNtadT7EzsXzYflzcTnQP+KLPwAEXPXpY2fRPyL/+CrZFkEowfgcez01MZfbeooqHBEEQRBVh9cfSvrWNLA0kXr96r2xEvD6g8xrH5sNYkVjbda/54JQBjjT+W7vbsan9m7GVCCE6fnFnGwTZHg+8PjRVGfAdU216B/2Z7Q7FuPj0hY1Wg3CER6vnPXgm3euw0IoArfdiP/1zx8lSaylnkeQ2BieWcCB7d2YCITwt29fwXNvD+KBrV3Ma+C45N8Hr37wlvqNdq8/iBgP2cZAjST6Acex+yqWohgsvJapD/Px/VykaPKRrZFqk3Duxjo9juy5GfPhqKikU6b2xdq7MjUfl7wCgJGZ9PcJfc46XqfRpNms0XDx+JdL0iDX/iqF1JPKJN/SkDquwvtSq5gAS2M2PhdMOk9jrREjvnkMTi4kSbABQEOtHtOBMMbmQnCY9Ul/O/ruEMZmg+h0Wph+G1yMYdQXxLplhV33ZCCE+25ZkSZFODYbBJ+S0wX7z3lnAUCyD0j173xymdxrAznXEtVOMXOG2Dh5/dLGKfV4jkPWNcxta1w4sudmeHzBuKyhWH5Y/bXNuDIVgPmqNGo2uzd1OhCOxDJek5hMaWr/ZlqPDU4GELrajtg6RHg9cT0i9l61xIXHV7wcSyRTzfeySuLxB3FdU22aLNSoP4h1Mrfl9YeYbdGYyo/a1+LlwGiG9YXcUD4k1IgSeaoaY8fjCzL3C9S6VvX4Ra63CLm4HBgVud5izD1KznMEoQRyzQn0wBFBEARRdbTa2VINLXb1lo4VEJOpEOQssv1dKoLMxkej/ozn02i4uAxOtvcm2ua2GZNkeITSsDg5GH/oKNVulnTIg79yHQxaTVK5731buzA+F44/dJR4HjGJjT/87HV45t8vY8S3wLwGPuEDJ0GybWExliaj4bIaoeWkSY5UK6k+yuqr1L0Y4bVMfZir7+ciRZOvbI0Um8TOfdNyZ9LDRlLaF2uvvd6cdOy3f3ND2vu03LX3px7f1VSLZmt6P8pdKryQ/lJC0katMlOpSB1XIf+LjVmi/KUwn3Q4TWnyRQd39mBgxIfgYjRNYnHf1i646ow48ZEXep2G2VZzgdIosRiPkZkgU4pQ8L1Mc5dUH5Cao/KZx+VeG8i1lqh2ip0zxMZpMcojFuPz8slMa5hEKVop1/ORN10ikSXJCyxJBkwFFnFhfE70miKRWFL7mSTOMq3H3vtkBjEeSRWYWOs+sfWIWuPCbTMVJccS6bTY2LFbDKmvaqbdyZaFWlYEKZJOkbY6VCp7UiqqZS1easT224qRo6p5b49QJ0rlKbfNwI7ThIf81Uabw8TcL2h1qHOuXWYXuV67Oq+3TcHrdWeRACeISkOu9RRJqhEEQRBVyb6t6TJa1bDFlE2mQi6ZI0Fq4vlTQ2mSZannk/reRNt2b0iX4TlwfAB7bl2ZtZ3EY574l3OYnA8nvfbka0uyHKzziEls/Nm/nsNdG9vQ22ZL679Du3rwUv9w/Pe9W5Yk21gyGp1OC3rbbGn+WajUlJpI9IOj7w6l9dUffvY6OM36tPjua7Nl7MNcfT8XKZp8ZWuk2CTl3FLbZ7X3P369F4+/8mHSsQdfGsAj29Ymva+3zYbeNlva63u3dOEbr3yIqAJVm+Xqr2JBMlPp5DJmz58awh/dviYt9z967CwmAmGEo3xabn7ytfOYDS6if8iHgy8NpM0x/+PXe9HtthV0DWJShI/t7EWn05J17pLqA3LJUeVz7lzPWQzJxGqk2Dmj02nB43f0peXsR46dycsnj58exqqmWtE1jFzzJsu/HtvZi68f7WeuJR/ZthaPHDuTJgeaSeJMbD0myO4KUrrHTw+ntbd3Sxde6h/GE3dfj742W1L/HNrVo9q46HZb067v0K6egnMskY5Ww76X1dEOr6wEglGmFEkgJL9Uk3Du1LZCEXXKnpQKWosrgwYcM0dpueLsuFXr3h6hTpTKUzUaDTN2arTqXUwYdVrmfoFRpy2xZcXBbNAxr9diUGcNkhjP3g+K8XyWI3Ont8WGgzuT73sO7uxBXwvd9xCVixzrKXVmF4IgCILIwPBMED85c01GSyhZ3uYwY0NHqa2TTj5ldrPJ3cglcyTIXXh8QTz39mBcambzqgbc2FmfdD6p70207QOPn1nqUaMB/mHPTXG7AeDi+By8/iAWFqPMY1jyW+uX2ZnnuTw5hxs6HPhPv7wK4WgsLpsjHPNL1zUBANbs3YwR3wJmgxG02k34s7uvx4mPxsHzwHNvD8arJ7FkprasdmFlQy362myYC0bhthmw1m2TPAZqLxOf6qPNViNuW9uM82OzODPsxzP/fhkA4n500/J6LHOY0F6fuR9y9f1cJIPylRcSswlI9msxGSnh3FLbZ7XnWwhjW19r0rkHJxcQjcXw7L2bMDUfTpLF+bcL4/G+t+i1iMZ4bF/XiolACMtj+fkiy6cBMP082xiK9cWgAjFDMlPpsOI5GgNOXpqMj8VkIIR9W7vQ5jAjHGXLJXU11WF4eoH5txHfkjTS4ORCkoSm2aBDm8MIHeMT2lzyqDCuqVJvJr0mfoxwjee8s3n7QK5ydbnM43KvDYohmViNiOWMXOX4xNBoOLTYjfGcnbhGycUn1+7bDK8/hEA4guVOC3pabNjQ7sB8OIL2eguWN1yTKctl3hTmNoNOg+UNFgzPzGN8LoROpyVJkrdGq4mvxVLXkqtddRieWZJjTJX8+v/Zu/M4OcrDTvi/p+9junvuQzOakYRGIGYkgSxj7BgnEYZXToRQwEecrIlZHLz7xkY23hi/CUaRINmwWZOFmCS+YgOb2AKTcAWzdoDEZgEbYYwOMJIsGGlGM6OZ0Zx9H/X+0dOtPp7qru6pvn/fz2c+oD6qnqp6jqqamueXL+Js+4VdWN/RlNwWh8WEzx34RfIc7qGXR3Dd1j5s7nPhHz/1HkwtBuGymuCwGPFbm7rR3xofq55OaQf9LQ5sG2hJ7q+B1vp42AgATCYDdg71YKDVgYmFILrdVmzq8Uj7WFqZ07MBPPjSSFrbffClEfS1OHBJf6VLVz8mVKIFJkoQNzOxII+FLcW6GhnPxcvj9Jxf2kf1tzqwpb9F13XVy709ooRJlVgovfupU7P+821n+Tz3Gz/+FVa36N9Oq8WUSgT7tDeI9XBVtnAlMK2yvTPeIAbrcHvH5uRj/Jm5gO7jgcVixO7Nq7Cu3Zm8Z7R5lQcWS30+vEb1T6/zKT5wREREDWd1iw0f2tSTFaO1uoamXV7JNLv54m70iDlKjbsYnw/g/udPxGd3uLQ3q3yFfDZRtsVARDrVY2+zHVtWxy+OM/fRnivXS78ji7sYaHMmtz+xnLufeTMryueW7YN46OURzPpCGFj+xV8kEsOrp2bTIjruvHYYL/9qCgdH5tPWoxaj8eaEPEYk37FtlGniZXVUCOBzB87/JVhqPVrTrq0uF1L3C4kMWkm8UGaZMo/xn3zoQum0wakRZoWsP3V9sZiCJw/NZ0VFPffLCRgNBtzw7Z9l1bPeZge+9cKraHFY8InLB/DV508gEI7hmz85WVRdVKvTFpPAZ/7pNWk9z3UM1fbFa6fncN+zJ0raZhgzJZcZnZZ5rG3m+HH44++/jk9dsU66D4+fXcSWvmb5tPAeG94cj8ex7RhOH/vvvn4ztvSlR0cV2o92uW3SqLfBzqZkLFViGxNlKrYOFBJXV+g4rve5gd6RiY1Irc84PLaAzx34hS59VZvTmuzjU9dRSL/0xri2c5ZC+sAejy1rbLtl+yC++P3XcduOjdgx1J2M5L314V+k9Q2p55I3f2AdorHzfYFs/WrlMRgE1rQ3Jc8hTk4tYdYXSn52fD6Apw6N4cKuJnzxwZ+njcGDXU3JB50zx3Ct+6vWRCIxPHV0PO38967dw9i9pZcPHelsVbMNs74Q7n/+RPK1RB0n/XS75XEz3SWIm+lXiXlZXacxL5XCc/Hy6HHL+6hSRM3Uw709olSyc+DM+zt66GuWt53eOm473S6rdN92NtVnjFy3W16Xuup0zFOLCewqUUygxWLEtjWtJVk2UbnpdT7Fq34iImo4kRik02xG9J9ls2SqfTrwQuJUiole0RLbkLmPHj6YHb9161UbMNjZpCnOZ+fm3qwonPuei8evpX7n6Ph8VkTHlx8/gi9cfZGmbVzJsa32elFK5Y7wKXUdV5N5jNVipFIjzIpdv1pU1J4rL8SdT72hGkNzz0cvwUe2FR8dlWt7E8s5NDpf1LJl+yIRkbOScmrBmKnc1I61LxhL1vFEjFFmfNEjB0ex/6mjuPPa7LiioZ543J8sju22Rw9lHetC+9E1bU7cee0mTctmHaBCyOrLLdsH8c8/H9Wtr1ppnSykvRSyrqjkXP2+545j5+be5PJT1/3oq6P4/Ac3ZPXtbQ5LMt5sqCc99rbQiLNcUW6ZY/Ch0XldI1Zrgez89/bHjuDo+Hyeb1KhjFCJVKvtZ9aqTnuTBXuvGUrbz3uvGUJ7k0X3dYWjMfn9iXJkEjcQnoeVRzmjZurh3h5RKtk5cOb9HT00Wc3S9TRZzfquqIqc84el2zzrD1e4ZKWxGJBv72KgPrfXaTVKz9uabJx1iCgfvc6nOMMREWlS7xE91FgyIxUAJP8iulZU+3TgBoPA1Ru7cODmyzE+H0CPx4YhlViwfNErav3Pu/pb8K0/2IalYBQ97njsWOpfUGfuo/H5ePzAAzdelozG6HJbscptR//NjmQ5N3a5k+tzWEw4u7wcteiNRJRaorxq9WveH8YzKbEjajEaK4lQqfZ6UUqp9SgRseILRZMPweg9ZhUSGZT62Xi9MiIUjUnLlm+8zTzGgUhMOk3y1FIAF3Q2FVzWVGr1aTEYVq1na9qcuLjHBYNKexlROR5q261WBlkUotYIoNS+qdVhwV3/+kZa/1+qNlPOmKlSnLeV+lxQ7Vh7Q5Hk66lxSf2tdpw650+LqfTYzfjHm96DUDSWVsbtF3bhP46d1dQ/ZpYjEZWm1gcbDAJmo9C07EpHjZX6GJZy+eW8FqmW657U+nJsMh4bmlrftfZVatuTeL3FYcaBm9+LcDSKVqe1oO2d8QaTkSkAklGzmeVKrKvDZcGBmy+HLxRV3bexmIKRc15pm0qci51dDEBRkNY3fOfFd/CZ31yP9Z1NaHFY0GQ1IhSJ4fbfvhhumxmjcz5cvbErK+Jsa39L0VGBucYoPSNWa4Ha+e/EfABbVleoUHXq9FyOSDVGCOlmYiGIHx4Zx9c+8S7M+cJodpjxnRfextp2B9Z26BtFMq4S3zbOSDVdZd+jOB8LTfqxWIz47aFOrGm7DJMLQXS5rRjqbipJ1Ew93NsjSnV2UR6plnp/Rw/TXvm4M+Orz7gtIPe5aj06k6N/3FyH5+YjM35896cjyZhAu8WEb/74V2h1rMfGnmbd1xeJxHB0fD7tfIKzulKt0ut8ig8cEVFejRLRQ42jS2V69FJNs1kK1T4deCym4IdvTmruN9SiV2T9z1d/71KEIkrWsod7m9O+K9tHs74QOlxWrOtoky5/oM2Oz24fTIuDuP/3tqb9hUTmPh/I+OVUj8cu/dwqj01TjMZKIlSqvV6UmsEg0iJWSj1mFRIZlFq2G7/zirRsWsbbzGPcZDVqmnK7mHgjtfrU4rBIX+9osiXLrxZ99drpOfjDsbRtyrXdamWQRSFqqeeyvmnPlYOYWgolL6RK2WbKETNVivO2cpwLqh1rp8WU9vr4fADfeuEkbv7AOklUgzUZq5nKYBDob3Wq1lu1cvR4bPjE5QNpUWmF9Nv5YgvLqdTHsJTLL+e1SLVd96TG8aXGhgLa+iq17bl6Y5f0PG1rf6vm7YzFFJyZC2TFbh44eCqtXGpleM/aNunDRs8cncBbEwvSNqUo6dud2Td89fkTuPkD67C5z4PppRC+8Eh6Xz/Y1YTtF3altb+VRgWqjVF6R6xWO7XzX70jQCgeGSGPVKuda9la0OOx4bJ1bfj0Q6/mPMfWQz3cn6gFhd6joOIEAhH865GzuOOJ8/dU9u8axq5NPbDZ9P1VFNsO1ZtyRaq1O+Vtp81Rv22nR+U8vBRxj9Vgldq5eZ1G8PY223Hs7BJu+e5ryddsZgN6ShATGInE8NjrY4ySprqh1/kUaz8R5VXPU79TY3LZjNi/K32azf27huCqoWk2q306cL36DdlyDo3Oa1q2ln2Uufydm3uz4iD2P3UUX955MZ58fSwryke2z9Xi3lw2c9Hl1hqhUu31ohyqeczKVzYtZc88xopSuim317Q5cff1m7Pq4ld++Mus1+/56CUwGpAWb6MWfZW5Tbm2W61Ob+7zFFXPZeu699l4NGKhy6pWpWgD5WhXsmP9+Q9uAISSFR3zpR0XYX1GHGZmrGYmo0EeQWPMuCJOLcd1W7VFA9ZC31vqY1jK5ZezX6/WMWQl0Ziy7Tk6ru1cKt+yZbGbd167Kee5Vq51JT778EH5GJKIR1vT5lQ9X3rk4CgOjc4nHzZKrDNX1Fmx1GI6N/d5Sh6xWm2aHSZpjEGzs36jOSrFbDRI97U5c0CjFSlXrA0AuFXuT7hr6P5ELajWMb7eHB6fTz5sBMT38x1PHMHhEkRs1sO9PaJU5Rp7loJh6bXxUrA+47aA8sY9VgO1+x+mOn3ANhrLvm+058pBxEpw3sYoaao3ep1PVdUMR0KIdwAsAogCiCiKsk0I0QrgAIA1AN4B8FFFUWYrVUaiRlTPU79TYzpx1ofRc0t44MbLkpEI//f4JOwWU0mm2SyFSsey5JOv39AaVyJbTiwlQiMRdSMEMLUURH+LA6dmfcnlXr2xC//62Stw6pwXDosJnS4rRma8eHvGC6fFBF9KVE+Px4b+FnvW+kZm/FgMhLFzcy8MBuB/fHgLLEaBwU4XBlodWdthMhmwe0svBjubMDEfQPdynNwrI+c09aUriVApR72olqgZNbnq3po2p+ay67WdqcsxCIEWhwUA0qbIPucNYl1Hk+ayX9jlwjN7rsDEQgC+UFT6HT2m3DYYBFY129IiOxJ18UsfsmXF0vz4xFTaTBMPvTyCv/rwFrw1uZj2XQBp0Wq5InkSEW2JKMT+VifWtsd/Mft0EfVcbR9furoZ37v5PVXXlxajFOdteiwzs031eex4c3IhbQrqzL7vOy++gz94Xzwf5isf2YKYApgMAiPnvOh0xePTJhcDaHda0eWx5jxuiVjNzAiaS/ub0dfsSJsOe/tgBw7cfDlOz/o1b7esnsrKU64+NHM9pT6fL+Xyy3ktUq3XPXpHY6pNma0We5kqUbeOTS5Kl2E2ipxRoInPTS6oR44lxpA9Vw6iv9UBo0Gg1WnBb23qRn/r+fLtGOpG242X4ScnppPjDAAMdrrwqSvWATg/pgTC8aizc95gcl2ZbbDQ9pk4LhemnGt2ua3JMsqWV83n7ytxZi6gGj810MZ7Bno6dc6f3Nez3jBanPF93WQ1SWf5o+KUK9YGAI6f9eHNM3P4zo2XYWq5b3jm8BgcFhMuqpH7E7WgWsf4ejOxEJS2nckSRATWw709olRnF+X9lN5jz+hcAD84PJ6Mn3JYTPjGj3+F1S0OXFqn8awWixHXDHVjTZsjGfe4qdtdkrjHanB61i+9/7Gu3YmhjISAejA65z9fp4MROKzxOt3f6sAl/fqeH4/Py88RGSVNteqEyrVIoedTVfXA0bLfVBRlOuXfXwLwrKIofymE+NLyv2+rTNGIGlM9T/1Ojam/1Y6lYAR/8O2fJae+3HvNEPpb7ZUuWkEqFcuiRa5+o5C4EtlyjOJ8rFNq1M03f3ISd+0ext88dxwjM/7kci0mgc/802tp0xE/+NIIZn0h/PXHLklb1pl5v7Tci4FoMrbAZjbg5g+sg8ko8NakPLrLZDJgy+qWtAuNYiJ3gMIjVEpZL6otakZGbT+nxn3lK7te2ylbzq1XbYDVaMB/f+aXydcGO5uwNaaolr3brV72d2a8JR2j25zWZFxO6vJbndZkPUts5+RCevsZnw/gxNlFfPMn2d9PRKtdvbFLNZJH7ZglHuQotJ7HYgoiUUW6vwbanFXZlxajFOdtK12mLL7yj35zEHc8nj0FdWbftxSM4snXx/Cxbf1p0WZ37LwYkWgMf/GDX2pqp11umzSCpstly5oOe/+1w3j4lRFcfkFH3u1W6y8SD8bl2g+l6kNl6/nGJ7aVtK8o5fVCOa9Fqvm6R89oTLX4K1nsZarUuqUWnZkZS6BWhnBUQSym5IwnVBTgC4+8nqzHX/nIJehvTW9boUgsOc4kYhD/+Puvp40pD70cP+9zWowYmwvgP33rZ1ltEEBR7dNgELigsynrl0C52nu1nr+vRLfLKo2f6myq32iOSultlkd99ZYgMqKRdbqs0libjhLU6b5mG0Y9Dnwy5f4Ej6n+qnmMryd9zfJIqFLU53q5t0eUUK5+qq/Zhg9t6sEXU86Z633ciURi+Nc3JhomBqvHI7//Ua9xx6ub7Sp1Wv/xoL/VLh3n+jj2UI3q1elapBZ60msBPLD8/w8A2F25ohA1pnqe+p0aUzgaw74nj6ZNfbnvyaMIl2J+9AaVq98oZCpz2XI29Xlwz0cvwUe2ZUfd3P7YEezc3Ju23EOj81nTEV+3tQ+BcAx/+YM38eWdFyeX9fDBUXx558XpEQU7h/DUobHkv1PjOgqZkr2YvrTa+t9amIZebZ+lxn0B2iJdVrqdsuXc86NjmPGF0l677dFDOePDojH1spe6jhQSTbiq2ZE1hXGb04K/vC47li0RrXZ0fF41kqeQY6bFOzNe3P744ayYnruv31xX5zSlqBMrXaYsvjLxsBGQPQV16voefXUUX9qxMau/3//UG5j2hlbcBy8GwlnTYd/x+BHc8L510mjAfNGc5ehb8pGt5/bHD0ujEMvZV1Tjsiu5rnJQ256hHrdqHFmuOplat7S0j0QZZPGcX378cM54Qlmk4RceyY7kTO3XZd+577l4bOaeKwexoaspa8xJbK/e7bMWzpn0dM4flkaAzPrrN5qjUgxCHrdSJc/+141Zn0qd9ulfp2OQH1PendBXvY3x1UqBvD4rJVhXKCK/txeKsPVQbSpXP9VkNUvbaZO1fqNwGy0GSy1iLKqUojeuPGFQOT8uwRMQ/lBMuq5AiGMP1SYBefsp9PKy2mY4UgD8UAihAPiaoihfB9ClKMr48vsTALpkXxRC3AzgZgDo7+8vR1mJ6oKWtlPt0U1EhRqfD6b9tQiQiJfQPsVzvY47ekW95Oo3Co28ki0HQNZf/SSW099qR4/HlozPcFiM+G9Xb0BHkxUOqwmzviA6mmz4zPb1AIBoLIaLe9zLdSCAxUA4bcrZ7/5sBDs392JNmwM2sxF/8fSbGJ8PpEW7ZW6HXnFn1db/6jUNfSHtJ7VO9nhsiMbi00yr1U+1ffbTt2dyll0WfZaI/yp2O9X2Vyzj+j512Wpll03Xe2xyEQBw9cauouLFckndHxf3uPCvn70CU0vy5Se2c84bypqy+e/+4yT+4neG8EBG5E1i36rF+piNQvW9QqMZU8s5MuPHQy+P4DO/uT7ZJ6yqob/iq9R520qXmdkWhEjvPxPxmKdn/XDZzFl9fyQak8bu9Tbb8Znt69Mik3K104t7XPjHm96DQCSKYDiGZodZNTbNH4okY51uev86bO51Y7DLpVr/M78vK0chn5XVbwBFx5GOzPjR22zTva9IKOV4pdey6+G6R63fU3s9sT0X77kCkwtBeEMRDCzHfcniyBJ9s9o5WWrd0tI+gNzxnGqxsq4btuGMhkjD1H79pvevk0bjBsLx8zwhRM7xXdFwXpe6nx0WE0LRKNqcVul211N0j5a2kytagPR1elZet07PBnBJ/VyWVpzaeWihdVpL+zkzJ1/XmbkA3lWn0TaVUO1jfL0Yy1GftxZQn7W0nYkF+b29iRLEtxGVgx79lJa2M+2Vt50ZXxCDcBW/AVUs17hejzFYY3MB/OzkTDzu2BtG83IEb1+Lo6C+uFaonUuNzwWwuU/7cjRd96hc500s8LqHatOoSvsZnQsUFLNZbQ8cvV9RlDEhRCeAHwkhfpn6pqIoyvLDSFmWH076OgBs27atPh/TJCoBrW2nmqObiArV47GqxEtonx69HscdvaNe1PqNYiKvZMtZ0+aULmdszo9PXD6Ah14egcUk4LFbkn/1lphi+y+feTMZu/blnRdjdev5aJGlYDQrQurY2SXc/IF1iMaQ/CVVItotc/16x51VU/+r1/TOWttPap1scViypqxVq5+yfVZozF8iei9xvIvZTrV1Zjan1GXLyt7jkU9L//a0F5878Iu0dqKHQvuCxHbGH+jLnrK51WmFy2aWRqupxfokInkKOWb5+qtEOQHAIAT2pvQL1RYNqKaS520rWaZaWwiEz0cgpcalpdbpNW1OPHnojDR279Q5P771wsm0yCRZO03Ul7ufeTMrmu2vl/+CNLNsdkv8Unl8Ph759/QtV0i3vZB+UetnZfX7q793KUIRpeg40kRbLOV4UsrxSo9l1/p1j1q/d/XGLvzwzcmcdeONcXkEbIfLKu2b1aI8L+5xpdWtfO0jQS2eUy1W1m0z4+D8ubztJVHXx+cDuP/5E/jM9vXS77wxvoD7nj2Rc3xXFPmY09FkU93/ib7oth0bs9piPUX3aGk7q5vl0QKliDFodKrXsm7G1+lpdYu8Dfe26H/ds7pVvq7VBa6L8qvWMb6erPKoxIR79G87etzbI6o2K+2ntLSddqe87bQ56rftqN17KrRvqhX9rXZcPdyTFsFbz5GTvc3y49tT4B8Yahp7VK7zMqPFiWqFXtciVRWppijK2PJ/zwL4FwCXAZgUQvQAwPJ/z1auhEREVA/MxvhJduq0onuvGYLZWFXDYtmVK/pBj8grteUk4kAS8Rlf2rFROsV2auzanU+9gUj0/FSzj746Kp12drCzKS1aLRHt1khTspd7GvrUOnnd1r6s6T0LqZ+Fxvzd+2y8DmV+thCydX7+gxvQ5rAUtA+jMfnUptGYUpJ2WmhfkNjOB148ib070/vWu3YPY6jHU1CsT2J/6BXNmFlOWRxjPcfcVIPMY/nk62PYf+0wbGZ5BFLq8XhnxiuN3bttx0b8889Hk//+yLY+1baUqC87N/dmresvn3kzK0pz/7XDePDFk8l/52qjhfSLWj8rq9+FxHgyMqQ+qfV7R8dz141c/WWhUZ7RGIqqW4XWyaEeN9Z3NmWdj33lI+nfkfUtd+0ezjqHe+TgaHI71MZ3owHS87/E5YFsP9733HHs3NwrbYuN1g4dVpP0XMVprba/c6x9FpNBWlct5sa+ltVbTJH3CaVIIonF5OvKnBWVqBaYjEJan81G/f+wg/f2iIqzFAxL2+lSsH6jcId63FnXCYn7VfUoElOk98MjdXpyISA/lzIUHAqVX4fbgn270seefbuG0Om26L4uonLQ61qkaq78hRBOAAZFURaX//9qAPsBPAHgDwD85fJ/H69cKYmIqB6cOufHD4+MZ00r2mQ1YcvqlkoXr2LKFf2QOUVwR5MNRgPwy4lFzetPRFr0eKz4zo3vxsiMDw6LCd/48a+Sf7He67Hj+Nkl6TKFSP/3+HwgLQoKAP7b1RuwusWJZocZXW4rupts6PHYMbEQQI/bhk2rPDAYBA7cfDnG5wPo8dgx1OOu+hlSVqLc09Cn1snMCCYgf/3MjJi5emMXnsmIlclcT+qyL13djO/d/J6itjOx7g6XBQ/eeBlefvscgpEYvvPiOwCQN4Im1dlFefkCkfM3DlbSTiORGI6OzyfrcSgaLWhfJ+tFtwsL/hD+903vwfRSED0eGzZ2uXFq1ofJhQAu7HLhmT1XYGIhve7kqlPFRDOq7YfEujL/akOPfUi5yY5zn8eOC7uaVCPNEsdD7Vh7gxFc/66+ZJzapaub8esbOlUjxlocFmnc0siMPxmlubHbhdWtdlzY4cKFXU3LbcKGoR5Pztgqrf1i4rMXfvYKnDrnhcNiQpdkRgrZNhcS48nIkOqjR2StWlvIFz+Zr78sJIZ0aikgjWjT4sIuF/7297fCZTXBbjFiMRBJPvSUuS9MJgM+NNSDtyYXMNzrgTcYSWuLCbK63t/iwNb+FpxdDCAcVfDF7x9Ki1BrcVjw7jWt+Pv/tDXt3C3zXFBRgAdfGsGl/c1Y0y7fjy0OCy7qduFTV6zD1FIwbVsarR1OL6lEc3jrN5qjUk6d80sjMvpbHdjc17jXsnobm5P3CaWIIinnuhqdXhHypO70rB/HJxbwD598N6YXg+hwWfHIK6fQ3+rQ/X4b7+0RFWdUZdxZ3eIoKD6nlphMBuze0ovBziZMzAfQvXxtYTLV5wOKjRZ3PDrnxw8Oj+N/fHgL/KFI8ncE69qdGO5r1nVdY7MBPHN4eezxhdHsiI89A20O9LfyniLVnrG5gLT9FHotUjUPHAHoAvAvIt77mQD8k6IozwghXgHwsBDiJgAjAD5awTISEVEdWN1iw2Xr2tKmFd1z5SD6Cpxms96UM/ohMUXwmjZnMp7iU1esKyhqRhaNc8v2QUwthTDrC+HUrB9CJfYs9S9T41Nu26RRUImIkEgkhsdeH8Ptjx1JruuvPrwZBmHAFx7RJ4KuVpRzGvrMOllI/VSLnrGYBD7zT6+lvXZhl0u6bKPBgMvWtBV8PNUi2r77s9HkLz21RNCo7YdE+RL1eCXtVFa3//x3NmGgzY6RGX/a+rTEBabSGnuWq04VGs2Ybz8YDEI1jrEWY25qiexYblndApfNnPN4qB3rd2Z8yTi1AwdPYSDHL4wSsYRn5v3SZS0G4lGaB26+HJt6m4uKrSqkX3xrUh5vlSi/bJvVYjwTcU9a9jdVhl6RtWptoUcluiRfG8oV5ZnvO2oRbbLtyRVbOusL5YxHHTnnL2oMSfz79dNzmPWFkq8n+oI/fPBg1jK73PJzQbX9mFjWH3//dQTCMXzzJyezytdI7bDTpR6ZTPpa2+6QRmQMtDkqXbS60u22SvsE2YPCK9VVxnU1Mr0j5Enugg4HvBe04z9/55Xkft63awjr2vXvo3hvj6g43Z7GHHdMJgO2rG7BltWVLknprW6Vxx33tdRnpFp/qx0f2tSDLy5fmyW3twQRcp0uG156+xyePzadfM1mNuD2nUO6r4uoHFa32OTtp8Dzqap5fFNRlJOKomxZ/hlSFOXPl1+fURTlSkVRBhVF+aCiKOcqXVYiIqptavFEdTqrqGaViH5Ijad49NVR3LJ9MO/6c0XjJGJ19l4zhKcOjeHRV0dx61UbsqbYTo1Gi8c65Y5HOzo+n3wgI7Gu42eXkg8bJV5jLJO+UuukLOouV/1Ui5A5NDqf9ZrRANx9/ea0Zd+yfRBffvxwUcdT74g2Wdvcc+Ug/vnnoytup7K6/af/chj7dg2vuC8oZUzjSvqrRou5qXb5jodafGZqnNqd127SFEv48MHsceaW7YN46tAY/vx3NmGox1N0bJVWWtqFbJs39rizxrPUuCeqXnr1herRlLnPYYrp8/SMtFQbE6/b2pfzu3rst8zohI9sU49nLbQvyrWsRpQvko704wtGpREZ/lC0wiWrLx6HURqX0eww6r6udqcR+zPWtX/XENqd+q+rkZUrQr7RLQWi2PtEeh+194mjWArq30fx3h5RcTpdVpVIqPp+4KiRRKKKtH+s10g1fygm3d5AKJbnm4XjdQ/VG73Op6pphiMiIqKyOKMSPXFmPoB3VahM1aAS0Q+p8RTj8wE89PJIMmpqfacLRgPw07dn0qY7T3zHZTOmRaAlYnU29rjxd8+fwE2/thYD7U74glF884Zt8IeicNvN6PZYcdmayzC1pB7r1O22IRo7v+7MGI0ejw29nuxoHlm8Teq07Z2ueHzc+DyncNdCdlyuvrg769jJqEXIZJ4sB8IxTCwEsKrZljad9EMvj2B8PlBUzFYpItoSUTROqwmdTVYIAVza35xVVxPLzRUXEIspeHvai5FzXpgMAi0OS1rcTCAcQygSw9Mq7UFr2bXGnhUTbbDS/uriHhceuPEy+EIR9Lc6sbadbbFS8h3L1PePTS7i8NhCsn0C8TplNoq045fZ7546501GTyXGGSGAraubcezsInZu7sXqFjuOjs/j9Kwfn7piXXJMSaxDLbbq2OQiDCJ+gX52MZC3HWppF7J9MuMNYt+Tb6jGPVH10iuyNldb0dqGtPaXub4z4w2mnX/9+K2zuGJDJ45NLgIA+lscySjNLne87sq2P/F9tX2Rbz1a+vxkdEJHE8bm/TAKkfNYyOLZMqNZn77lCkwuBLAUjOhyXBNqPeYnXyQd6WdiQd6mJheCFSpRfTo55cdPfzUdj4VaCqK9yYrvv3IKzXYzNnQ167quY2f9mPP68eCNl2Fy+VziFyPTOH7WjHWd+q6rkZUrQr7RlbOP4r09qkflOCc8MxdIjnEzS0G0LY9xA20ODLTVb38YCkVx6Mw8JhYC6HHbsGmVBxZLfT7cq3b/ol4j1cZVxviJBf23d3w+gLPzPnznxsswtXzd+MzhMUwsBHjdQzVJr/MpPnBEREQNZ5VK9ESPh9Mulzv6ITOeYnw+gG+9cBL/+tkrVCNnutw2DLTZ4bKZ8b/+LT1O7cDBU1jlscFiEjAbjWlTa9957TB+88LOZD73BZ3p2yiLeUt892v/6V3JcvZ4bPjE5erRPKnREcXGiNB5sjqZeexk1OJgMnd14pidmfPjWy+cVI2PKYTaugfanAW3rVxT//e3ZtfVfNFPAFTrZOLhisRU2mrtQWu91RJ7tpJog2L6K7X1rW3n7EaVlO9Ypkb2fe7AL7LqVJc7d536649dkqyL4/MB3P/8CdjMBtz0/nXJ/79sbQtu+IefpY0piQeb4ucIdml9PnF2CW9Pe9OmKs/VDtUiHDP7Gtk+yRX3RNVLz8hatbaitQ0V+oBT5ndiMQVn5gLJ8dJmNmDvziH8/Y9P4P7nT2CgzY7Pbh9Mi+m8+/rN0pjOXLGg+dZT6Fgx5Q1iZMaHQDiqOV4u1/i0rqMJJ6eWdDuu9RDzky+SjvSjdi3bzWtZXfW32jHY7U6LhSpVNMfadjtmfWHc8O3z5yF7rxnCQHt9xp5UCqMfy2NVc/n6qB6PVX5vj7O0UI0q1zlht8sqHeM6m+q37YRCUTx26AzuePz8dcr+a4exe/OqunzoSPV80V2fY16PyjV3Vwm2t7fZio2rmvHJlPO2/buGsMpTv+2H6ptevyvlJF9ERNRwjEI+9aWpNu7n1xW1+AqjAarTna9pc+LOazfhzqfeSHs/Easz1OPBF66+CPueSp/G+8uPH8HR8fm8ZZJNtX7HE0fw57+zCTazAddt7cN9z8mjeTKnUC02RoRWTq1ube7zSOvb7Y8fzjqed1+/uaiYLT0ju3JN/V9M9JOWuLe7dg9jqMeTd/167IdyRxswSqG2FVun/vIHb+LLOy/O6q8TsYR7rhzEW+MLWWPKdVv7UmKr3NJoN6NBSGOV1Nqh0YCi+gdGAdauejp278x4cdujh9Lq9b6njmLn5l4AwM7NvVkxnbc9egh3XrtJtf2pxefmWk8hffc7M14cGp1XjVVUOxb5xotyjfW1op7qebUzGoT8WrZGHk6rFT6VaA5/CaI5FvzymLxFP2Py9MQIlPIwivL1USaDQb4uHlSqUeU6JzznD0vHuFl/WNf1VJNDZ+aTDxsBy/d6Hz+CQ2fy3yeuRarni8b6PF/ctMqD/dcOp23v/muHsXmVR/d1TSyEcEdGdOgdTxzFxEJI93URlYNJpb8wF3juxhmOiIio4Zyek099eXrOgUsGKl26+iabGvjqjV04cPPlGJ8PoMdjw8YuN144OZ1zunOzUR6JYTYKmEwGzPvDqlPHblmdXg6HxYRQNIo2pxVr2pzJCA+ryYC17U6MzfmwFIxisNOJh/7zZckpwjOjeS7scuEvnn4zLToiMW17j8eG67b2JWNBmqzGrG3KtY9q5a/bKyEWU3DqnBeTC0F4QxEMLMdjAekxZN1uKyLReOTRgZvfC0WJQQgBXyiKyYUgQhEl7XgqCtDbbNO072XHbCVxX6nLMwh55NnZxQAUBdJ6fnrWr9p+ZN9pcVhwSV8z/ubjl2KVJz6tdGImsJVED+SL8YnFFEwtBvGpK9YBOB+LGAjHMFKiNsAohdqT2b4SkUayuL9E/FHmMQ5FFLQ6LLjz2mF0ua0IRuLxin/wvgEsBqJ48KURXP+uvrTvBMIxDK1y4elbrsiKrUqNdrv+XX3SOqU6hflCIG+7SEQeOi0mdLmt6G89v/6L91yR1t9R9atEZG0htJ53JD4nq9eJ8xsh5OOS2SiS7bajKR4ve2l/s7T+vzPjxbHJxaxowxaHBRd1u/CZ7esBxMeMc954PEuusk8uBBBLGfuEAP7qw1vgC0Wwrt2Jdw20SiMQ1aLgZlLWeWGXC8/suQLj8wE4LEaEojEcHptPO6/UM4K0mhkMAh+8sBP/+6b3pMVUVEs9ryenZ/342ckZfO0T78KsN4xWpxnffuFt9LU4cEl/S6WLVzfG5wN479pWfPL9a9P2cymiSCYWgvitoS58+N39mF4MosNlxSOvnGJMns4Y/Vgep2f90v28ugR91OlZv/ze3iz7Q6pN5TonHJ8PSMedeo3bAoCJhQBaHJa0e7OPvjqKyRJEblUDtb64v9WBLavrr3+0WIy4Zqgba9ocmFwIosttxaZud0lmr5pcCKrUJZ63UW06PefH8YmFeJR0ypjQ3+rAlgLOp/jAERERNZwNXQ74Q9lTX27odFS6aHVNbWpgi0ngM//0WvK1u3YPY3oxmDOmQi2eJDFVqlr0TbfHJi1HIo7tyzsvhi8YTYvwuGX7IJ58fQz9rQ7c//xxXLOlVzWaZ9YXSouOSMS/fWxbP+577nzczpd3Xowejy3r8/UQqVFOsZiC596axPHJpbQ4o6985BJYzefrlSzi5a7dw/ib545jZMafFiuWiAKxmQ24fmuvpjLkilzRI0JNFnmWqDeyeq4o8tdl3+nx2HDDewfw//7Tz6V1bqVRQGoxPmrt8KGX43GDr52ew33PFhabo4We0UZUernalyzu767dwzi3FJTW8c9L+vyPbevHP/98FLO+kDRu0WExpT0woBbtJqtTHrtZta4V0i72XDmIwa4mbL+wCwDwxrg8bpRjRHUrd2StVlrPOxKfe2tiQXXcSf237Pwsc/szf7mba1wAgBveO4A//v7ryfduvWoDppdC+E/f+lnOsne5bTAKJM/HUs8X7r5+M96lsm5ZFNxAmx2nzvnxiYx1WkwCN6ZEUiT6mNt2bNQtgrTaRSIxPHH4TNa51u4tvcmHmEkfA212XD3ckxYdvfeaIQyUIOqrka3vcGDHpvT9vG/XENZ16H/PIH5/oj0t2mb/riEMdvH+hJ4Y/Vge3W6rdD93lSDmTPXeHtsO1ajOJnlMYLtT3/Yz2OmAL5g97qyv4/viq1vsuOG9A2nXAnuuHERfc32eP63yyMe8eo1Ui0Ri+Nc3JspyLdLbbJPWpd7m+ty3VP8u6HDAe0H6mLBv1xDWtRc2JvCqn4iIGs68Pyqd+nI+wCnLS0ltauBDo/Npr93+2BEoQM7Ii3yxDUM9bty1O30q1URMlKwc9z13HDs39+LQ6Dy+mBHhkXjvjsePYOfmXjz6anYcxy3bB/HUobGs6IhE/FviYaPEMu986g18ZFtfxeOlal1qTErqPvvCI+n1ShbxcvtjR9KiWTJjxbTGgOh9zLREniXKJmsHt2wfxDd+/CvV9pP5nY9s65PGQZUiMibfdt73XHw791w5iEcOjkrLs1KMfKkthUYK3v7YEYSiSlr9l9XxRL+eqHNf+cgl2NDlympLe584Iq17qfXo0VdHs6Yevvv6zfjKD39ZcEyjWvs/NDqfM0aRYwQVS2udSnxOFkl21+5hPHVoDADw5OtjWedfKxlPE9GGsnZ8z4+O4Y2MKERZ2de0ObGpz4Mv7diYdT5226OHVNvWbY8ewr5d6dty246N+NN/OZz3XDbRx+gZQVrtjo7PS8+1tMQZU2GC4Zg0fisY0T/qq5EtBaPYm3HPYO8TR+EN6n/PQPX+BCPVdFUPfW0t2NTjwf6M8XP/rmFs6tE/1oZth+qNPxKVxtoEIvrW6QWVtrNQx20nGlOkMXLR1L+cqCNWszxy0mapz0cCynktYjYJaV0ym/hHYFSbFgPy657FAq97OMMRERE1nMkFeUQCp74sLbWpgXub7ejx2JKztwTCMXhDURwdnUtGBfS32uGymZOxObLIqkSUTiIKY9emVRjsbMLEfADdHhuGeuIxUWrl6G+1Y9YXkr6XiAgRAmlRaht7XFjdYkc4GsOO4e7kzcqTU0vJcpgM8vi3S1c349c3dKb91Xs9RGqUU2ZMSkIgHI9LSlCLeBEi/d9DPR58+5Pb0L8cy1aJGBS15aWWbaDVkYxcanNa8P3/8l7M+oKY9UXxzrQXH7iwE88cGcdN71+Hzb1uDHa50mZp2THUjQs/ewVOnfMiGIlJ1zcy402LkdIS45QrqlAWcaO2nX/25FFphJwebaDao40aQWZsUX+LA6dmfZjxBmExGuALRZP9fCLiMnWa6vH5AEZmvLCZjdI6FIjE8Oiro8nvbex25+zXE33xq6fOpU03/tDL8VnFzi4GsKbNmTMOtK/Fjqs2dmHaG0SnKx7FdHBkHmNzwbRlrsoT06jWLmIKcsYocoyobcVGqeoRwarWxjLrVKJuJs6BPvOb69HRZMWqFjvam8z4qw9vgTcYSY5RW/tbCu5j1er/5l43zCZD3rEeiMeuTS0Gs/bJ9gu78B/Hzqqc/58//8x8LxSJpbXhE2eXVM9lP7N9fVo0aKKP0SOCtBaoxkguxxmTfiZUrmUneC2rq4kyxmXw/kR51ENfWwtsNhN2DndhTfv5WJvhbhdsNv1/DcW2Q/VmdNaPHxwex//48Bb4QxE4LCZ848e/wrp2J4Z7m3Vbj9q5RD23nTMq56rjdRojd/qcPIJ3XbsTQ6uaK1083ZXzWmRsVr6uM7MBbMo/UT5R1dHrfIoPHBERUcPpdsunqO0uwRTPdJ5aXMTYnB+fuHwg+ctdm9mAziYLeofiU9i3OCxZU5VmRlbligTZslpoLkf3cgRaanxGakRV4g9fxucD+NYLJ3Hg5svTsq9l5fjGJ7ZJ1zcgublZD5Ea5ZSISZHtM1k8UuZnMiNgDo3N41svnMQ9H70Ea9u1/aWr3sdMbXmJsn319y7FLycW8YVHztexP/nQRXBYTWlTByfiXK7f2pv1i06DQeCCziZc0NmEk1NL0vW9dnoO/nAMO4a6AeSPccoVVSiLlFHbzm5PfAr+VHq3gWqNNmoEsnpy1+5hfO9nI9h+UXda9ORXf+9SeAPZEZcHDp7Ca6fn8O6BVtV2nRp3+Y83vUf1c6l9cZvTmlxX6ue63TZNcaCZbcJmNiTLkfj3e9a2IhZTVH+xpdYuDAI5YxQ5RtSuYqNU9YhgjcUUnJkLSNtYZp3KrJsGIbB3eYaVzP5+bbuzqD5Wrf4PdrmS/59rrE/EJ/7Bt+URawNtTukywlEFvc3yKN4ud3q/8Jnt66WfO3XOj2+9cDItGjTRx6w0grRWqMYZ12lsQyX1eHgtWw59ZYzL4P2J8qn1vrYWRCIxPP3GZFlibdh2qN70tdjxoU09+GJKjPCeKwfR26Jv7JfauUQpog+rRY/KtUZXnZ6rrlGJ4O1vq88IObXruZ4SnLeVc11E5aDX9WV9zp9GRESUg91sxN5rhtKmFd17zRDsZmOFS1bf1OKfHjk4mozMsJkN2LtzCB0uG/Y9Ff9F1nVbc0c+AYXFWuUqx/6n3sCd127Keu+pQ2PYu3MoGRmSuGk2lDEtuDTi5/HDuPv6zZqmbuc074VJxKRkThP8lY9cgs19nuRrsoiX1AiYxHH+55+P5qw7amXQ85ip1c9E2Q6NzicfNgLidWzaG8qaOvi+547jzms35S1HrvaQK7pKSxvMFSmjtt+GejxsA3VMLQbthvety4o6OjQ6j9v+OTvi8rYdG/HIwVFp35rZru/56CXYtMqT1f5lMZhqdTIag6Y40Mwowsyy3bJ9EF9+/HDOvkVWhj1XDmJzn0c1RpHto7YVG5OnR7zeOzNe3CaJkZWNHal177qtfVnttdAIMZlc9VvtvdSxXktEqFq7NBqgaUx68vUx3Hltdn+SGKMTMY1qUbv1rNlhkl5fNTvNFS5Z/bEYDdJ9bdX5F/mNTgGkcRmlCF7h/QmqJ+WMtWHboXpjMxmlY4/NpG+dbndapG2no8mi63qqyaZVHuzPOI/ff+0wNq/SP+6xGiwGotII3qVAfcbmRaIxaYRcNKr/mZsApOsygDMmUm0yG+URjJYCry85wxERaaLHlP1E1eLtGR9+eGQcX/vEuzDnC6PZYcZ3XngbTVYThvuaK128upWYwrztxsvwkxPTaZE1ANDfasdN71+H7/5sBP/5/euSF0VqcVipERWFxFrlK4fZKPD0LVdgciEAoxD4+elZ7Nzci+/+bAQ7N/dCCOCyNS1Y3eLQFBM1MuNHb7MNT2ucuv3CLhf+9ve3wmk1octlRX9r/LNqMUSN3C8nYlLWdzRha38LfKFIMg4NQNo+729Jj3hJ/PvY5CIOjy2k1QGtESiJMugxNX8kEsPR8flkPNMPbrkCb0nKJouQc1iM0kgcs1FIy5FZl67e2IUHVNqD1hgntTaoFimTa78x6qB+qdUTfyiS9bpaXOKJs0vJ+pnZt/a3OLBtoAWTC0GEolG4rWa8enoWl/Y14/v/5b04MxdAq9MCBUoyBjNRt9TiA8/55JFTmVFOqfXcYBBY1WxTjWhT61sSZUhEHjosJnS5z48DANg+6kyxsZx6xHmqLUM2dqT2zccmF/P292vanDh1zpvWlnJFlSbGpQ6XBQduvjwtWjFX3QeAZ5bb7Iw3iE9dsS7ZRjP3Sa52ObEQ0DwmzftDuOn969Dfasepc/6s84dNvR60OMxZfUy9OzMXwHd/OpKMALFbTPjmj3+Fte0ODLRxJhE9jZzz45WT0/iHT74b00tBdDRZ8cgrp+CymrA5ZeZVWpmxOZW4jLkAtg7ouy7en6B6Mj4fkMYRliLW5u0Zn7Q/ZNuhWjW1JI+1mfYGsR4u3dYzvhBMjjuz3jBanPFxZ227A2s69FtPNbFYjNg13IO1bQ5MLATR7bZiU48HFkt9PqBYzmjYajA6F8CDL42kXes9+NIIVrc4cKnO522jcynRh8EIHNaU6EOOPVSDTp2Tx3n2tTjSkj3y4QNHRJSXHlP2E1WT3mYbLlvXljataKmmR6d0BoNAh8uKb/4kO7ZmbM6fjJ4xGkTaVI75ImQKjbXKVY4uty05zfrJqSX8r387/9dFh8YWYDMboCjrcPNDr2b1hWrlaHVa807drtbX9rc6VWOI/ua54xiZ8Td0v2wwCKxpb8Ka9ux9m7nPZf8GgM8d+IXmuqNWhpVMzR+JxPDY62NZ086/q78lq2yZEXI9HhvcNnOynqZG28imhlarZxf3uKTtQWuMk1rdzxUpo7bfGHVQv9TqicNiynpdLS4xGDk/LmT2rbGYgjfGF3H3M2/iY9v60yLatPaRqfGBA2123HLlBmnklCy2MbWeq0W05etbUiMP1d5n+6gfxcZy6hHnqbYMtViBRN1LfE6tv+9osuG5tyZxfHJJGoeb2QbVxqX3rG1L+6ys7ifafGacZ1pMr8Z2qXVMOjm1hG+9cBKfumKddFkXNGj77HLbcOzsEm757mvJ1wqtk6TNQJsd717Xjv/8nVfSIzJa6zMio1JWedTif0sRzcH7E1Q/+lrs8jhCnSOhgPgfrbE/pHqixzm+Fj0e+bhTz1G4sZiC545PNczvt8oZDVsNuj1WzPpCyd8rAKWLCSxX9CFRufQ12+R1usD+gvPtElFeekzZT1RNDEI+PXodXl9UJS2xGA+8eDI51e2jr45mTeuYGVFRTMyMlu/ki7fK7AtXEneTq69ViyHaubk367NUmGqIKFKbdn4xEM4q26Y+D77ykfOvfWRbH/Y/9YbmODW1ehaNyeNktMY4qbWVRouUodxk9eSu3cN44MWTuGX7YM66nrjg/eefj6q200T93rm5NyvyqZiYqp2be/Gn/3JY2r5Sxyy9xiVqPMXWEz3ql57rTu3vjQbg0Oh83jjchJVca6rFeSZiekvRLhPLePL1sax+q5HbOPu88glHFGlERrgEkRGNrNlhlkYLtDj0jwnk/QmqJ+WKhAKAcDSm0h/G8nyTqDqV63wqGpOPO/XcdBrt91tNVrP0GDdZ6zPuuNNlxb5d6TGB+3YNobMEDxyVc5wjKhdZnS70UoQzHBFRXnpM2U9UTUZVpkcfmwvgkv4KFaqBqEUmAekRWH0eOy7sasLEfAC9LXZctbELU0tBOCxGhKIxvDPjTUZVFBPDpOU7mREi+aK31CJ5MsliKnP1tWqRVkJkf5b9cmGqIcJrfF4lsmE+gIt7XHjgxsuy4uIu6o5HLgUjMc2ROID6mD61pB4nAwBXb+zCgZsvx/h8AD0eG4Z6PKptZXIhAKfFiHBUwUU9LmkboPqnFsebWc8S8YbnvMGsKCXgfF1vsppgtxhxyepm1RjJRP3WEsUpk9k+1JZjNgq8f31XzqhMLX0LI4up2DFIj7FLj3VPLgTgsBgRjsaSEWI/fXtGNRJxRFLf1calyYX4uZZa+0i0H9l3N/e68fQtVxTVLjXvt26XtN9q1DZcDedTjWJcpc1MLLcZ0sfZxaA0WuDS/mZc0Klv3AzvT5QPz71Kr1yRUAAwPi9f18R8fUYGUf0zGETGvRc7hnrcuvdTZxfV7wupzbRb6xrt91vTXnn/OOMLYlDnvrganJkL4JnD2fG0A236xzuXc5wjKoexHL+XuLSA5fCBIyLKq1zTeRKVS2+zvE73lGB6dJJTi63IfG3L6hZsWR3//1hMwbGzS7gxZbrs1Olvi4mZ0fKd1AgRrdFbmfEeqeVUiw65sMuVs69Viy/JVxbKr9IRRT0eu/T4euxm7Lj3J2n1ZG27My1y6eTUUkGROLnGdLX9EIsp+OGbk3mnnk58f02bk1GsDS5fHG++uMNUueLFMiXqN5A/BjDX9zO/l/nvxCwSWscP2WcYWUwJxY5BeoxdpVh3l9umGon42uk53PfsibT6rtbuwlEFv3XfT3KeS701sSD97mCXS3WbKrnf6h33S3n0FBiHSMXp8cijBUoRN1PO+LZGxnOv8uh0yetzR5P+9bnHY1XpD/Wf0YKoHLTee1mpziZ522l31m/bKWffVA0a7fd5XW4bXnr7HJ4/Np18zWY24MvXDOm+rkarS1T/9PpdKSPViCgvTo9O9cYAIZ0e3Sh4k6maVXr6W619Yb5yqr1vNBQWaXXX7mE8dWgsZ1moNgz1uHHX7uG043vntcP4yg9/mbe+FzpGFzOmF9r2Kt1WqfIqVQdWGnWU2T6efH0Mf/47m7Kio778+OEVbwvbCdWrNW1ObOrzSM+1Hzk4CiC9vsvGpbuv34wvP34477nUwwdHGWtGDcdpNWDvNemREXuvGUKTlbd49VTOuJlmu0p8m70+Y08qhede5WE0QH6/rQRdVJPNKO0PXXbG2lBtKlc/5Y9Epe00EInqup5qUs6+qRo02u/zyrm9jVaXqP6ZDAZpnTYXWKk5wxER5cXp0anenJ7z48GXRnDT+9dBCEBRgAdfGkF/qwNb+lsqXTySiMUUTC0G8akr1gEAHn11NBlDlWv6Wz2mTE9dRm+zHd+44V2wmIzoclnR36oe6ZMqtZxq708s5I60Sn2vo8kGkxH4H9dvSYvaauR+uRamx1cro8lkwO4tvRjsjEcIdntsiCkKDo7Mp31fVt8LHaOLiXkqdOrpXPE4hc56UAvHlbKp1QFZnJIWWuuB1qijXMu7sMuFv/39rXBaTehyWTG1FEw7X0jEaq506vVyTenONkTlZjAIfOCCDrQ7rRha5UYgHIPbZsbnH/5FMpIWON8nrGlzZo1LM94gPDYz7vv4RfAHI3BY41FGmedS4/MBPPTy+XP6K9a3491rWlnHK4T9TXm8M+PHd386koz6sltM+OaPf4VWx3pc1NNc6eLVjXLGzUwuBqX3Jy7tb8Y6nePbGlmjxelUyvh8QLU+r2nXdz+/M52jP+xu1nVdROVQrn5qdFZ+X3xduxPDvc26raeajM8HVKNS9e6bqkF2PJ8NQz2euj03L1ccIVDecY6oHMZUfle6rt2JTX3NmpfDB46ISBNOj071ZJXHhllfCPc/fyL5Gqcsr16yqc9v2T6Ih14ewawvpDodrB5Tpqut+8DBU7htx0b0t2b/pUS+aWuLibQC8sdVrW2vz79S0aIWpsfPV0aTyZAWIagWlSar74WO0YXGPH3jE9sKmoo5VzxOLKasqP1V23ElObU6IItTyncsC60H+dqD2vKu3tglnb7+wi4XvvXCSd2nIi/HFOdsQ1QJkUgMTxw+g9sfO5Ksd3/3+1sx6wulfS7RJ/jDMewY6k5rt0YD8PH3DKRFGe29Zig5pXdq+xmfD+D+5+P9ynWX9rJuVwj7m/LpbbHj2Nkl3PLd15Kv2cwGrGrhtayeyhlF0u60Su9PtDnqN9qmEhotXqZSOl3y+22liJrpbZb3hz3NPKZUm8oVddbjsUvbaT3Hs5YzKrUalCuer1qUc3u73PJxjucTVKu6Vep0oWMCJ/kiIqKGYzQI6bTLpjo84a4HsimF73vuOD6yrS/n9Kh6TEWstu6dm3tVl5VvGteVTvPKqeCz1cI+KbSMlZr+WFbO2x8/jLuv31xQbFvm54uJoaqF40pysvqrFqeUj971QG15R8fnC467XIlytHG2IaqEo+PzyYeNgHi9+7Mnj+K/S+IJHzk4Kq2Tc94w9j15NG0Z+548ijlvGEDjRQTUAvY35ROJxKRT3kciSoVLVl/K2c8sBcPSY7oUDOu+rkbGsaM8yhk1E40p0nXFShB9SFQO5Yo6s5ggvS9uNdfvffFyRqVWg0Y7Ny/n9vJ8guqNEPIxQRQ4JHCGIyIiajinzvnxyslp/MMn343ppSA6mqx45JVTaLKasGU1I9WqjdqUwpeubsavb+hU/UsFte8t+EN4/fRs2hSrJpMhLQbCYTEhFI1izheWLkMI9WmN80VWZb7f0WSD0QD89O0ZTfETnAo+W+Y+6fHYcN3WPhybXAQAzVFKWt7Xq4xA7uNWTPSZlrLm+46snCMzfvQ22/B0AbFtq5ptRcVQpZbPIARaHJasCJ5Gruu1IrP+Cgh87kB2nJKWY6l3n6e2vPH5AFocFly3tQ8umxG9zQ68Pe3F5GIQV2/sStb/zD67v8WBU7O+nH3K29NejJzzwmkxoct9Po6z1JHFHC/KrxyRUtUSW6VWjkTkbaqRGT+aHSY8cONl+MmJaSgK8MyRcVy3tQ9CAFNLwbTtGM8RP7sFpYv8LsW+rZbjVWrsb8pndC6An52cwdc+8S7MesNodZrx7RfexuoWBy4dqHTp6kc5xumE0Tl5NAePqb7KeUwb2fj8+T5qzhtGs9OM77zwdkmiZkbn/NL+sL/VgUv6eW+Pak+5os5GcsSzbqzTeNZyRqVWg8mFADZ0NuFTH7hAGlFdb8p5LcLzCao3ev2ulA8cERFRw1nb5sDSunb85++8khbTsLbNUemikYTa1OcDeU7mZd/bNuDB8bNefPnx8zEfd+0exq5Nq/Bvb53Nik4zGSBdt6Lkni41X6RPvni0XFO+cir4bKn7pMdjwycuH8B9zx3P2qcAcu7vUsaBFHPcCo0+y1dWLd9RK2er01pQbFub01pwDJWsfHuuHMSDL40kH1Rp9LpeS1Lr78mpJWmckpZjqXefp7a8vhY7bnjvAL73yil8bFs//jhlqvVEO8nsswfa7Pjs9sG06Kh8fcqeKwcx2NWE7Rd2lTyymONFeZUjUqpaYqtylaPHY1cdR1w2M775k5NocVjSxupv/uRk2naoLSM1/ljv9lOKfVstx6scyhUBQsDadgeuHu7Bpx96Ne1adg2vZXVX6nE6odstj1TrcrP96K1cx7SRdbut0j6qy6V/fVbrDwfYH1KNUos60zv2a5VaHKGnfq8TG+3aeFWzLWdEdb3pdMmPbyniPAGeT1B90et3pVUXqSaEMAohXhNCPLX877VCiJ8KIU4IIQ4IISyVLiMREdU2fzgqjWnwh/Wdopb0UexUpbLvfeHqi5IPGwHLcVGPHcGhM9lROvc9dxyhaPYU3bdsH8RTh8Z0mS61mClfOXVrttR9ct3WvuQvMIH0fZpvf5dyCl69j1sxZdXyHb3KWcxyZOW799l4fOJKykKVt5J6pXfbUVuezWTEvc/GIzO19iE7N/dmRUfl61PuffY4Do3Ol2Uqc44X5VWOadyrZWr8XOUY6nHjrt3DafXurt3DGOrxJOvkR7apj9UAci6jEttUTcusVuWKACHAH+K1bL3pbrZi/670GIP9u4bQ3cwHjqj2TC+FpH3U9FIozzcL5wuq9Ich9odUm5odJmmsTbPTrOt6FJU4QqWO01kb7do4X0R1vSlnnCdRvdHrd6XVOMPRHgBvAnAv//tuAH+tKMr3hBB/D+AmAH9XqcIREVHtm1gIqsQ0BCtUIkoli54oZqpS2RSnxyYXVSM6ZK/HFOAfXxrBX314C96e9uLyta0wGIAdw93Ji9KTU0s5YzJyRWmkTvmaiAGTRYvk265Gn7o1dZ+oHeOziwEoCnJOsVvKKXj1Pm75yppa73o8NkRjwPGzi/jUFevw6KujyRmDZNt3cY8LD9x4GXyhCPpbnVjbXlw5L+xy4W9/fyucVhO6XOdjpArdpktXN+O7f/geOCxGhKIxvDPjbfg6X63U+ruV1P9Cv5svvkhteT99ewaB8PnIzFSBcAwjM14EIzH81Ye3YGzOhwdeHFH9bKJNzXiDyenwASTbXkxBWaYy53hRXuWYxr1SsVWZ7WrGKz+XTpRj16ZVWNPmxDlfCC12M8IRBadmfclzusy/Ps38vslkwO4tvRjsbMLEfADdHhuGejwwmdTvGK80uqwU+7aRYsbKFQFC6teyk7yW1V25IhFHzwUw5/XjwRsvw+RifF2/GJnG2GwAq1vqq6+g+lfO+228t0f15sxcAD88Mh6PJPSF0eyIRxKubXdgoE2/8eD0nB8/ODwej1RLidvqb3VgS53GERoMAldv7MKBmy/H+HwAPR47hnrcdXttnC+iut6MzwfO1+lQBA5LvE6XIs4TaJzYbGoMep1PVdUDR0KIPgC/DeDPAdwqhBAAtgP4veWPPADgz8AHjoiIaAV6PPIp/3s4ZXnF5YqeKGaq0swpThcDEXlEh8rUuus7m2AxCfxyYhHfeuEkdm6+IrksLTEZ+T6TmNI3X7RIvu2i8/sEkMfgJaZJzvVeqadY1vO45Sprar1rcVhww3sHcO+z5yPmbtk+iIdejseUpW6fWn1d217YX3ypLae/Nfdy1Lapv9WJtyYXcWPK1K71GklTy/L1dyup/1q/qzW+SLa8RP0D5P3Ea6fncN+zJ5J/KfdfPrAOSyH5mJJoh2fmAslowUTbO3DwFAwCZZu6neNF+ZRjmv5KRAHI2tXd12/GQJsdIzP+tHJ0NMXr/r+9dRZ3P/MmPratXxpxuqbNmXc7TCYDtqxuwZbVxZWx0HGiFPu2kaIbVCNA6jS2oZJWeeT1ivtaX+WMROxtseHUOTtu+PbPkuvat2sIq5p5TKn2dLnl99tKERGo1h/Wa2QQ1b9utw2XrWtLiwncc+UgunQ+d1zdYseHNvWkxW3tuXIQfc12XddTTWIxBT98c7Ihoo4BqEdU6xzPVy16PDZpnS7F9jZSbDY1hm6Vc7fuAs/dqm1Csf8F4IsAElvVBmBOUZTI8r9HAfRWoFxERFRHTAaDdJpNE+fZrLhSR0+oRXRsXuXB3ddvzopOu/uZN3Hbjo3SCDUtZc33Ga3RIqRdrmmS802hXEtTLOcqa2q9u25rX/JhI+B8XOB1W/uytk+v9lfsctS2yWhAw0TS1LJqiA5aSRkS9e/J18dwy/bsc4RHDo4ml3nvs8cx4wvBbBBZY0pqO7zt0UNZbe9LOzZic5+nKvsVWplyjCGVGKdk7eq2Rw/hSzs2SqesT3w+VzxhNcSMZirFvq2l84qVqkQMXqMyGoT8Wpa/4NBVOc9rzi6EsPeJ9BiDvU8cxdkF/SOoiEqt1WGURgS2Ooy6r8tklPeHZiP7Q6pNi4Fw1v2be589jsWAvjFYApCuR9Rx06mG+xXlVK54vmoRjcnrdDSW54tFaLS6RPXPbjFK+wu7pbBzt6qZ4UgIsRPAWUVRXhVC/EYR378ZwM0A0N/fr2/hiOoY2w41otOz8qlj+1ocuETj1LFsO6WhV/SELE7q7PL09Ls2rZJGdKxqtqXFQCRmgDEZBL79ycuypkfVUlYtkWlaokXqTSnbT74IoVzv1VL8UK6yptY7tcinzb0e/O3vb8VAyqxDkwsBtDgsyXoKxCOgCq2HxbTjRJvtcFlw4ObL4QtFk9MSJ6KuCllevarmsacaooO0lCFz6uv+FgdOzfowuRDAxT0u/MMfXIZZXzBZDw1C4HMHfpGMIUz05b0eO1a32bFtdSu29rfkbIepZbGZDfj1DZ1V2a/Uu1K3n3KMIfnWUYqp3dXq8vGzS8nzJqfFiGhMwS8nFtHisKDFYckbOZhvXxWyLXr0P6U4frV0XpGLlrZTTAweFee0Snzd6gKuZSk/vc6LtbQftXjvyYVAcYUnqqATU36MnlvCAzdeFh/73Db832OT8NjNWN/VrHk5WtqO2r29/lYHtqxmf0i158y8fDwYnw9gs4ZZPwFtbefMvHyMK2Q9taYa7leU05m5AL7705FkxJjdYsI3f/wr3eP5qsXZxQA2dDbhUx+4IG08mFoK4IJOfc/bGq0uUf17e9qXjPOc9YbR4ozHebqspoLi0avmgSMAvwZglxDitwDYALgB3AugWQhhWp7lqA/AmOzLiqJ8HcDXAWDbtm1KeYpMVPvYdqgR9TXLp9nsK2DKcrad0tAjeiJfnFRimtMtq9N/2dPmtCajb1LXvb5THkWjpaxaI9O0RIvUk1K3n1wRQvnihWopfkitrJl1U1a3jo7PJ+OhEnWxx2PLai/FTEFcaDtWm474PWvb0qIHG6V95FLNY081HKd8ZcisawNtdnx2+yBuf+yI6lTYJ6eWMOuLzzDQ47Gl9eWpn8/XDhNlGajBhw3qRTnaTznGELV1lGpqd7W6HInFcP/zJ5Lt4qvPn0gbO4TIHWOaa18Vui169T+lOH61dF6hRmvbKSQGj4rX47FK4+tKEVfUyPQ6L9bSfnpU+rCuOo09ofo20GbHrC+MP0iJCNx7zRD62wqLatLSdhoxForqm2oMVgExgVraTl+LXTrG9bbUb9uphvsV5dTltuHY2SXc8t3Xkq/V8/auarbh4+8ZSBsP9l4zVHDEppb202h1iepff4tdGufZV+CYUDV/aqQoyv+nKEqfoihrAPwugOcURfl9AM8D+PDyx/4AwOMVKiIREdUJBfJpNqvqN7cNSo/oiXxxUmrTnBa6bi2f1xqZ1kiRG1R6qfXp0VdHpdPMp8ZDJeqiXlMQF1qftUYPsn1Ut2o4TvnKkFnXdm7uTT5sBMjHiNRlXrdVe/xlNewPaiylmtpdrS5v7vOotot7nz0ORUFWPKHWNlDotrC9USNxqEx577TqH1fUyMoZzdHhtmBfRgTVvl1D6HRb9F8ZUYkFwwr2PZkeEbjvyaMIhvW/4xaNKfJ2qvDuHtWmckXU2kxGaduxmer3XKLRrhcabXvnvGHp2DPn1TeOEGi8fUv1L6J2PhUr7HyqmmY4UnMbgO8JIe4C8BqAb1W4PEREVONyTVFLlZEam3FhlwvP7LkCEwuFRU8klnFscjFvnJRsmtNCYi9yxT+lfl5rZFq9RG5QukLiYPSMwcmsT91uG66+uBtTSwEIpMdDAefroqLI20uhUxAXWp/zTUcsW15/i0P32CBauQu7XPjb398Kp9WELpcV/a3aj4sebSBf3cusa1rHiIt7XHjgxsswvRQsyZhCpActMa7FUKvLAPD0LVeknXclBMIxXNTtgstmynmepGVbUpeZaGuy/qLY9laKGLpGxX1ZHqfO+aURGa2O9bh4VXOli1c3zi7K+6FCz4u1GJsN4Jdn5vCdGy/D1HIf9szhMQy0OdDfWruzo1FjKmdEIO/tUb0pV0TtlMp17bQ3iPVw6bquamEwCHzwwk7875veg4mF+H2yzas8dXuuajAIXL2xCwduvhzj8wH0eOwY6nHX7faOq4w9EwsBbNF5XbzXQ/UmV/spRFU+cKQoyr8D+Pfl/z8J4LJKloeIiOpLb7N86stCp9kkfegRAZK6jE9dsS5vnJTaNKdaYi/yxT/JlqklMq0eIjfovELqdSlicGT16YLOprR4qITUuqjXtMCF1Gct0xGnLq9UsUFUPLVj0t+q7S+89DymueqeWl3TGsG258r1uo8pRHrRGuNaDLW6nPi3WnxgsXU/17iQq78otL1xPNEP92X5rGq2SyMyeC2rr06XvB/qaNJ/P69qtmFDTzM+mRFBxWNKtUg1EqoEEYG8t0f1qBwRtY0YCRWJxPDE4TNpcep37R7G7i29uj/QVQ1iMQU/fHOyYc7N9YgjLATv9VA90et8qv56UiIiojwMENKIIaOovxPuWqBHBEjqMh59dTQZ4SGLk1rpNKfFlJfTrTaeQupJqWJwZHLVxUrVU70j2Kj8VnpMynVMM+vak6+PZU1ZnyuC7eGD+o8pRHrRGuNaqvXq2S5yLVPP/oLjiX64L8vHZTVJr2VdNnOFS1ZfjAbI7xmU4E56OWNAiEqt2WGSxj42O/Xvo3hvj6g4jXiP8uj4fFac+u2PHcHRuPngUgABAABJREFU8fkKl6w0Gu3cvFxxhET1SK/zqaqc4YiIiKiUTs/58YPD48lp6B0WE77x41+hv9WBLf0tlS5e1Sl1PEK+2IxClzE+H8BDL4/gpvevw+ZeNy7sdiXjpPSY5rSY8nK61cZTSD3Row3IqLXdXHWxEtFlekewUfmt9JiU65iqxfNt7W/RFME2Ph/Agy+N4IEbL4MCBR1NNhgNwE/fntGlfTCOiFZCa4xrqdar5zlOrmUWE7eWWpbU9/3hKMcTnXBsLp+JhfhYdNP710EIQFGAB18awaX9zVjLfa2b8fmA9J7Bpf3NWNOu734eXwigxWFJRmECwKOvjpYkBqTR8Vyr9M7MBaSxj2vbHRho07ftnJ7zS/tD3tujWlaOfio7bise3VbP/eG4SgTjxHygpLNJVUqjnZuXK46QqB7p9btSPnBUw3pX9+PM6Omiv7+qbzXGTp/SsURERLVhdbMdH9rUgy9+//XktKJ7rhxEb7O90kWrOuWIR9BjKt/MZYzPB/CtF07i6VuuSN4QvqBTnwuqYqfX53SrjaWQel2K6azztV21ulip6DK9I9iovFZ6TMp5TGV1rZAItllfCB0uK9a0OXVtH4wjIj1ojXEtxXr1PsdRW2axcWsGg1hxTCKp49hcPp0uG2Z9Idz//Inka6WK+mpkPR6b9J5BKWKh+lrsuOG9A7j32ePp9ydaeH9CTzzXKo8ut00a+1iK8aDHLe8Pu0rQTonKoVz9VKPFbQHljXusBo14bl6OOEKieqTX70r5eF8NOzN6Gh/72otF/6zkYSUiolomDMD3XjmFm96/Dp/Zvh6fumIdvvfKKRg4KmYpxxSsekzlq9d0wLGYgpNTS3jpV9M4ObWEWEzJeu/UOS/++mOXYKDNnlyXbHr9XMui+ldInexvceDu6zerfraYuqR3VKFsGZWq4404/Xe1W+kxyfV9vepZMcspRayTWjkabcpzKp1y9ZGFtim92nIx7fLt6Xg7Ykxi6XBsLp9yRn01smhMfs8gGsv/3ULZTEbpumwmo/4ra2A81yqPco4HHW4L7rw2PULnzmuH0em26L4uonJ4Z8aLu595M208uPuZN3XvpxqxPyxn3GM1aMRz83Leo+Q9f6onwoDkHz4A8THh3mePF/y7Us5wREREDeecN4iPbevHfc+d/wvCW7YP4pw3VOmiVZ1yTMGqRxSHHsvI9ZdEALLe+/LOi7EYCGMxEE3GGCRmU+JfT5LWOpn4y7J7fvQWbnr/OhgNwLaBVrxvXZt0NgatdUnvqMLMZeg9u0shGFFYfVZ6TNS+D2T3vcXUs2Lb0UpinQotR6NNeU6lU44+stA2ped5UTHt8s2JBaxtd+aNSeR4UjyOzeWTqLeySDW9o74a2YzaPQNfEBdA3/18zheSrmvWz/sTeuK5VnmUczyYXAgiHI3i5g+sQ0wBDAIIR6OYXAiiv5XHlGqP6tjjDeraT02oxItNLtRvf1jOuMdq0Gjn5uW8D897/lRv1MaEifkgNvdpXw7//oVWpHd1P4QQRf/0ru6v9CYQUQNyWMzJizcgPoDe99xxOCx8DjdTYgrWVKWYgjURm3H5unas62gq6gR9pcvI9Rc+svfufOoNLAaiuP/5E5j1hdL2SSP+tRBl01InE3VlZMaP+58/gfuePYGbHzqIU7O+tPcLrUt6tN1cy6h0HdejzyB9rfSYyL6vVz1byXLUtquYNparHOUab6kxlLqPLLRN6T1mFNouj00uqrazREwix5OV49hcHl0pEUJffe6E9FqEVk4A0nsGKMEfsJdzXY2M51rlU67xQEBg/1Nv4r5n4/3hfc+ewP6n3oQAxx+qTRajQToemHWextBqMkj7Q73XU01S4x5ve/Qwbvnuazh2dqmux4BGOjcv5z3KSt8PJdJbi8MiHRNaHIXNAMffrNKKJGLdinXg0+/TsTRERNpMLwWlT+1OLwUrVKLqlZiCNfOp/UKmYI3FFLwz48XkQgBd7ur9i4pcf/GoKJC+J4R8Wlr+9SRpla+uFFuX9Gi7uZbx07dnNJerVvoAKl6pjrFefWkp+uRi2liucly2pm3FbZaoXAptU3q0QS39zJo2J/7idzbhT/7lcNpfhT/08gjed0Eb2xnVhTVtTnz19y7FodF5xBTAKIBNfR7WY51NqdwzmCrBPYNyrquR6XF9RNqU6/rvnDeIFocF123tg1he/KOvjnL2cqpZvlBUOh74QlFd1zMfCOGW7YNZMyktBuq37TTiGNBI9+LKeR+e9/yp3nhDYXz+gxvw1/92LNk/fv6DG+ANRQpaDh84IiKihtO9/JdtqSeHNrMBXe76/auGYq10CtZamma0S6VeJP7aRfbeFevbcd2lvVn7JN+yiBLy1ZVi61Kpowq1lquW+gAqTimPsV59aSn65GLaWK5yNNqU51TbCm1TK22DWvsZg0Fga39zMlpFUYCHXh5Jzv7Cdkb1IhRR8PUfn0xrD6SvLlf5rufKua5GxjGgPMp5/beq2Y4b3juAe589/9DEnisHsaqZbYdqk9o5s973q9ucNhw4+EZaPOuBg6dw3+9equt6qkmjjQGNdi+unPfhec+f6k17kw2nzP60iFq72YD2JmtBy6nfOfKIiIhUNNvN2HPlYHKqwMRNiRZ7YdMENoqVTMFaS9OMJv7aJbVeJP7aRe29d69ple6TXMsiSpWvrqykLpUyqlBruWqpD6DilPIY69WXlqpPLrSN5StHI015TrWt0Da10jZYSD/T3+rERd1ufPMnJ5NRU2xnVE94blUem1Z5sP/a4bR+a/+1w9i8ylPT62p0HANKr5x9lM1kTD5slFjXvc8eh81k1H1dROVQrnuJQz1ufHb7IL71wkl89bkT+NYLJ/HZ7YMY6qnvcaeRxoBGO18s53143vOnemMzGfEXP/hlWkTtX/zglwWfT3GGo0ZmMEGI+h1UiYjUTC4G8eBLI2l/yfHgSyO4tL8Z6zpdlS5eXamlaUbz/bVLIX8J02h/OUPFy1dXqrUuaS1XLfUBVJxSHmO96n+1tKNqKQfRShVal1da9wvpZ9jOqN7x3Ko8LBYjdm9ehXXtzmQUyeZVHlgs+j/IUM51EZVaOfsotTjCaW8Q68F7e1R7ynUeazIZsHtLLwY7mzAxH0C3x4ahHg9MJs5PUS8a7XyxnNeAvN6keqPX+RQfOGpksQg+9rUXV7SIA59+n06FISIqny63DbO+EO5//kTyNU59WRq1Ns1o4q9dZBdfud4rdFlEqfLVlWqtS1rKVWt9ABWu1MdYr/pfLe2oWspBtFLlPC8qtJ9hO6N6xnOr8rFYjNi2prXu1kVUSoy1IVqZcp3HmkwGbFndgi2rS7oaqpBG7B/LeQ3I602qJ3r1F3xklYiIGg6nviwf7muixsY+oP7xGBNRqbGfITqP7YGIqhljbYiIKo/9IxFppVd/wRmOiIio4XDqy/LhviZqbOwD6h+PMRGVGvsZovPYHoiomjHWhoio8tg/EpFWevUXfOCIiIgaEqe+LB/ua6LGxj6g/vEYE1GpsZ8hOo/tgYiqGWNtiIgqj/0jEWmlR3/BSDUiIiIiIiIiIiIiIiIiIiIiItKMMxxRZRlMEGJl0/it6luNsdOndCoQETWKWEzBOzNeTC4E0OXmtKKUjvWDKBvbBZUS6xcRZWK/UFt4vIiKx/ZDVBy2HaLisO0QFY/thygbHziiyopF8LGvvbiiRRz49Pt0KgwRNYpYTMEzRydw68O/QCAcg81swD0fvQQ7hrp5ckisH0QSbBdUSqxfRJSJ/UJt4fEiKh7bD1Fx2HaIisO2Q1Q8th8iOUaqERFRw3lnxps8KQSAQDiGWx/+Bd6Z8Va4ZFQNWD+IsrFdUCmxfhFRJvYLtYXHi6h4bD9ExWHbISoO2w5R8dh+iOT4wBERETWcyYVA8qQwIRCO4exioEIlomrC+kGUje2CSon1i4gysV+oLTxeRMVj+yEqDtsOUXHYdoiKx/ZDJMcHjoiIqOF0uW2wmdOHQJvZgE6XrUIlomrC+kGUje2CSon1i4gysV+oLTxeRMVj+yEqDtsOUXHYdoiKx/ZDJMcHjiqkd3U/hBAr+qFlBtOK9mPv6v5KbwERldmaNifu+eglyZPDRNbumjZnhUtG1YD1gygb2wWVEusXEWViv1BbeLyIisf2Q1Qcth2i4rDtEBWP7YdIzlTpAiQIIWwAfgzAini5vq8oyl4hxFoA3wPQBuBVAJ9QFCVUuZLq48zoaXzsay+uaBkHPv0+nUpT42KRFe3LA//1Ayt+gGtV32qMnT61omUQUfkYDAI7hrpx0S1X4OxiAJ0uG9a0OWEw8GFOYv0gkmG7oFJi/SKiTOwXaguPF1Hx2H6IisO2Q1Qcth2i4rH9EMlVzQNHAIIAtiuKsiSEMAN4QQjxAwC3AvhrRVG+J4T4ewA3Afi7ShaU6swKH1gC+PAXUS0yGATWdTRhXUdTpYtCVYj1gygb2wWVEusXEWViv1BbeLyIisf2Q1Qcth2i4rDtEBWP7YcoW9VEqilxS8v/NC//KAC2A/j+8usPANhd/tIRERERERERERERERERERERERFQXTMcQQhhRDw2bT2A+wH8CsCcoiiR5Y+MAuhV+e7NAG4GgP7+/tIXlqhOsO1Qo4pEYjg6Po/x+QB6PHYM9bhhMml/Dpdtp/bEYgremfFiciGALrctma2c+RqnQC09tp/SSa3nDosJoWgUbU4r63adqOe2k1p3O102GA3A+Dz7ZtJPPbefWiU7Nyumreu1HJLT2nZ4HMqH+7p2sP1QI9KjPmttOyu9t0dUb3jNQwmNdm5RzrGn0fYt1T896nRVPXCkKEoUwCVCiGYA/wLgogK++3UAXweAbdu2KSUpIFEdYtuhRhSJxPDY62O4/bEjCIRjsJkNuGv3MHZv6dV8Y4Jtp7bEYgqeOTqBWx/+RfKYf/X3LkUooqS9ds9HL8GOoW5eJJQY209pyOr5LdsHceDgKdy2YyPrdh2o17Yjq7t7rhzEgy+NYNYXYt9MuqjX9lOrZO2+mLau13JInZa2w+NQPtzXtYXthxqNXvVZS9vR494eUb3hNQ8BjXduUc6xp9H2LdU/vep0VZ55KYoyB+B5AO8F0CyESDwY1QdgrFLlStW7uh9CiKJ/qM4YTCuqD72r+bQ5UTkdHZ9P3pAAgEA4htsfO4Kj4/MVLhmVyjsz3uRJExA/5odG57Neu/XhX+CdGW8li0pUNFk9v++549i5uZd1m6qarO7e++xxXLe1j30zUZ2Stfti2rpey6GV4XEoH+7r+sNjSvWknPWZ9/aIiOQa7dyinNvbaPuW6p9edbpqZjgSQnQACCuKMieEsAO4CsDdiD949GEA3wPwBwAer1wpzzszehof+9qLRX//wKffp2NpqOJiEdYHohoyPh9IDqAJgXAME/MBbFldoUJRSU0uZB/zmAJpPTi7GMC6jqZyFo9IF7J6HgjHIATrNlW3XHU38f+sv0T1Ra3dF9rW9VoOrQyPQ/lwX9cfHlOqJ+Wsz7y3R0Qk12jnFuXc3kbbt1T/9KrT1TTDUQ+A54UQhwC8AuBHiqI8BeA2ALcKIU4AaAPwrQqWkYiI6kCPxw6bOX0ItJkN6PbYKlQiKrUuty3rmBsFpPWg08V6QLVJVs9tZgMUhXWbqluuupv4f9Zfovqi1u4Lbet6LYdWhsehfLiv6w+PKdWTctZn3tsjIpJrtHOLcm5vo+1bqn961emqeeBIUZRDiqJcqijKZkVRhhVF2b/8+klFUS5TFGW9oigfURQlWOmyEhFRbRvqceOu3cPJgTSR8z7U46lwyahU1rQ5cc9HL0k75pv6PFmv3fPRS7CmzVnJohIVTVbPb9k+iKcOjbFuU1WT1d09Vw7in38+yr6ZqE7J2n0xbV2v5dDK8DiUD/d1/eExpXpSzvrMe3tERHKNdm5Rzu1ttH1L9U+vOl01kWpEDc1ggkhkRhRhVd9qjJ0+pWOBiOqbyWTA7i29GOxswsR8AN0eG4Z6PDCZquY5XNKZwSCwY6gbF91yBc4uBtDpsiVPmjJfMxiK74+JKim1nk8uBOCwGBGOxrBjuJt1m6paZh/d0WSD0QBc2t/MvpmoTqmdmxXa1vVaDq0Mj0P5cF/XHx5TqiflrM+8t0dEJNdo5xbl3N5G27dU//Sq03zgiKgaxCL42NdeLPrrBz79Ph0LQ9QYTCYDtqxuYa57AzEYBNZ1NGVlz8peI6pVavWcqNrJ6u6adtZjonqm15jFsa868DiUD/d1/eExpXpSzvrMe3tERHKNdm5Rzu1ttH1L9U+POs3HvYmIiIiIiIiIiIiIiIiIiIiISDM+cERERERERERERERERERERERERJrxgSMiIiIiIiIiIiIiIiIiIiIiItKsYR846l3dDyFE0T9ERERERERERERERERERERERI1IKIpS6TLoTggxBWCk0uXIox3AdKULUUaNtL3Vuq3TiqLsyPUBjW2n2raP5cmv2spUi+XJ2X50GHeqbZ8Uo9a3odbLD1TnNugx9lTjdmWqhTICtVFOlvG8Uo89pVQLx1FNLZcdqO3y61V2va579CxTJdXDNgD1sR21sA16jD21sJ2ZarHMQG2Wu17LXK/33LRgmcujXstcr22H5cmt2soDVF+ZynW/utq2uxwabZu5vdk49pQHy5NbtZUHWEH7qcsHjmqBEOKgoijbKl2Ocmmk7a33ba227WN58qu2MrE81VmGlar1baj18gP1sQ0ytbBdtVBGoDbKyTLWh1reR7VcdqC2y1+NZa/GMhWqHrYBqI/tqIdt0KIWt7MWywzUZrlZ5upZl15Y5vJgmatnXVqwPLlVW3mA6itTucpTbdtdDo22zdze+liXFixPbixPfispU8NGqhERERERERERERERERERERERUeH4wBEREREREREREREREREREREREWnGB44q5+uVLkCZNdL21vu2Vtv2sTz5VVuZWJ5s1VCGlar1baj18gP1sQ0ytbBdtVBGoDbKyTLWh1reR7VcdqC2y1+NZa/GMhWqHrYBqI/tqIdt0KIWt7MWywzUZrlZ5upZl15Y5vJgmatnXVqwPLlVW3mA6itTucpTbdtdDo22zdze+liXFixPbixPfkWXSSiKomdBiIiIiIiIiIiIiIiIiIiIiIiojnGGIyIiIiIiIiIiIiIiIiIiIiIi0owPHBERERERERERERERERERERERkWZ84IiIiIiIiIiIiIiIiIiIiIiIiDSryweOduzYoQDgD3/4k/6TF9sOf/ij+pMT2w5/+KP6kxfbD3/4o/qTE9sOf/ij+pMX2w9/+KP6kxPbDn/4o/qTF9sPf/gj/cmLbYc//FH9yYlthz/8Uf3Ji+2HP/xR/ZGqyweOpqenK10EoprEtkNUHLYdouKx/RAVh22HqHhsP0TFYdshKh7bD1Fx2HaIisO2Q1Q8th+iwtTlA0dERERERERERERERERERERERFQafOCIiIiIiIiIiIiIiIiIiIiIiIg04wNHRERERERERERERERERERERESkGR84IiIiIiIiIiIiIiIiIiIiIiIizUyVXLkQ4h8A7ARwVlGUYcn7AsC9AH4LgA/AJxVF+flK1hmJxHB0fB7j8wH0eOwY6nHDZEp/7ioWU/DOjBeTCwF0uW1Y0+aEwSCk73e7rDjnD2N8PoBVzTZYjAaMzvrR22xHNKZgdM6P1S3x/z8zH0Bvsw1QgNG5APpb7QhHYhhfCKLbbYXdbMTbMz70t9oRiSkYnw+kfbevxYZYDBibC2BtuwP+UBQTC0F0ua3w2Iw4dtaH1S02RGLA+PK6BFLWFY1hfD6IHo8VZqMBp875sb7TgcVAFJMLQazy2GAUwOm5APqabYgBODMXQJfbii63EYfHfLiwy4FZX/zzq1tsiMaAM/MB9HissBgNGDnnx4YuB+b98c8kljPrC8FtM2NqMYhOlxV2ixFvT/uwrt0Bbyj+2dQyppYldZu63FZ0uoz45YQfg512zHjj3+12n19mj8cKp9WIkRk/BtrsWArE91PiM+/M+NDXbAMgMDrnx7p2B5aC8eX0NttgEPF9NtBqRzAcPz59LTYoSnzf9zXbEFPi2511DJeX3+O2ocNtwdhsvF7MecMYXwigt9m+fEzi9SIYiSXrhYDA6Vk/ut1WbOrxwGYzpdXXgTY7gmEFEwsBdDRZYTAALQ4LojHg7KK8rhJR5eUbU7R+Rs9lx2IKjo7PY8YbhNtmQSgSQ7fHhv4WB0bnfJhZCiEQiSIYjmGgzYmBVgdOzfqSy+hvSf93n8eONycWMOUNotVhgT8cRSgSg8tmxqwvhFaHGTEFOLsYRF+zHRDAYiCCxUAErU4znFYTBAB/OJr8XJvTApfNhFAkhoVACA6LGdNLQXS7bYjEYogpQCSqwBeKwOOwwB8Kw2oywmUzYzEQwYw3hC63FXazAb5QDDNLITRZTWhxmBCIxDDrC8NjN2NmKYi2Jiu8oQhcVhNMQmDKG0p7zx8Kw2WzQAjAG4zCG4qgyWKC3WLE1FIIHU0WRGMxTC+F0eGyIKrEYBZGhGMxhCIK/OEo2pwWzPpDcFlNsBgNOOcPwWU1wxuMoMVhhjcUhTcYQbPDgkg0CpvZhKVgBL5QFF1uKwSAxWAEbqsZ53whOCwmtDqNmPNFMb0UgttmQovTjGAkBrPRkCznQKsTa9v1HRuKra/FruvUOS8mF4LwhiK4oMOJqcUQzvlCaLGbEY4o6PFYsRCMYN4fRiAcRbPDjBaHKXm+0uW2wmY2YNYb328zvhBaHRYsBOJ1wBeMwGgwoMlqQjASxawvjFZn/P0mqwkmg4DZaIA/HMW8LwyX3YRVHnty/HVYTAiEw7AYjVhaPo5d7vi51lIwgnPeENqbrPCH4usxGgCHJX4K7gtFMeMNodsdP3c55w1jMRCvi3aLETPeENqbLDAIgYVABEuBCNqaLHDZjPAGo5j1huFxmBGJRmEyGDG1tLy9FiNmvWH4Q1G0Os0IRaIwG43JutJkM2ExGILVZEIwHIMvFN9vi4EwOlxWhCMKppaC8DjMCIYjcFktCEWjWAhE0OKwwB+KwGUzIaYITC0G0WQzwWU1wheKwGw0YjEYht1sgj8cQZPFjPlAGE1WIwDAbjYCEDi7GESz3YyFQBhOmxFWgxETiwF0u20IhKOY90fQ4bKgu9mK2aUI5gNh+IJRuGwmRJUo7GYzZpZCsJuNsFoE7KZ4m+l02WA0AFNLQViMBoSiMViW20STzYRwJIaoEgVgwJw/DI/NjPBymzvnDaLLLb8+0LNOl6P9rGQ9qd9N7M/4tZMt7byzz2PHsalFzPvjx8ZtNyMQjsBqNsJoEPAFI2iymjHjDaLbY0ezw4TphRCWQhFElRjsJhMWAhG4bEY4LCaEolGYDQaEogrOLgbR0WSB1WjAXCAEt82CpWAE/nD8ONqMRswHQmhzWBGMxHB2MV73nVYj5v2RZNtpcZiwGIjCF4oiEI6ivcmSVm/dVhOmvEF0uawIhGOYXgqhxWGGySBwzheGw2JEk9WAaExgxhuEy2ZGMBKJj53RGBb8YdgtJjRZDYAisBiMIBCOoq3JisVACAYR71sWA/HPBSMRtDutWAxGMbUYRIcr3je0NlmS5/m9HhsUxK+fmu0WxKAkr3e6m604Oxffh4FwDGvbnVjb5sTIOR9GznnRZDXBYTEipigIhmOYXAii021Fk9WIU+f86GuxI6YomF46P/53udPbTHzcyX0NnPl+6nuJY9nRZNX1OqXcY49sXVpez2wnic/I7kMYDALvzHgx45Xv+1hMwdvTXoyc88JpMaHLHT9fmfWGsRSMwGM3w2M3wR+KwReOnyN4Q1E4rSbElBgMQsAXiqKzyYqIEsWsL4KZpRDaXVZ0u63octpwZGIBEwsBtDVZYDIARmFAp8eCybkQppaCaLKaYDULmIQBM94Q2pwWeENRLAUj6HJZ4QtHsbDcX5sMAhMLQbQ4zACAeX8YbU1WGIVAIByG0WDEQiAcryORKOwWExYCYbis5uSYHI7Gx6t5//nztBZnfNlWkwH+5Xrd5bbCahQYX4i3X284Cn8wPpZFlSjMBhO8ofh5VJvTArfdiFlfBNNLIXS6rIhEozAYDBAiBgOMmFy+T2ExGuLjnz1+3tnjjl/7z/nj5xDeYCS5D7yhCFqdFlgMBkwsBGC3GOGwGGEwAAYItDgtCEdimFgIYikYgdtugsduRiwWb9/+cBSrPHZs7I6POZFIDG+Mz+PMfCB5HtDqtKC/deV1vVztZ84fwLEJb/IYbeh2otlu0309xH1dLuXczzym5cH9XB5sO0TFK1edbsS202jbzO3l2EOklR51uqIPHAH4DoCvAnhQ5f0PARhc/nkPgL9b/m9RIpEYHnt9DLc/dgSBcAw2swF37R7G7i29yV8qxGIKnjk6gVsf/kXyM/d89BLsGOpO3vRLvN/isOCG9w7g3mePJz+758pBPPjSCGZ9Iey5chA/ODyOD23qyfqM7PW91wzhlZPTePe6dux78qjq8n92cgZXD/dg35NHk6/v3zWEN8/MYXTWoenze68ZwvjsEvyhCO544mjesu3fNYQOlxGvnVrAHU/Iy7b3miEcG5+DL9SMvSmf+d4rp/Cxbf2477nzn923awhj55bgC0Ww94mj2NDZhI+/ZyCtjLnKYjcreHUknFb2vdcM4bs/HcGxs0tZ+1L2mT1XDuL4xAK8F7SnlffeZ4+r7vvU8qjtg8Ty9+0awi/PzGFDT7Om7UqtO/t3DWPncBeefmMStz92RLp/9l4zBKNQcMcTb0jrKhFVXr4xRetn9Fz21z6xFVOLIfzNc8ez+ua7dg8jFothxhtO65/u2j2Mv3nuePJBzs9uH0wbS/dfO4yHXxnBNZt7cXxyKe27n//gBoybDfiLH/wSLQ4L/ug3L8BiIJL2mX27htDptmBqMYQ7Hj+a9vojB09h+0XduO+5eL/7X399HQDAG4pmredHb4zjI9v6sfeJ1PFxGA8fHMHBkXlsG/DgI9v68bf/fiJr2/fuHML9Pz+OXVt64Q/H8Nf/diz53i3bB/HcLydw/bv6s/rzNocZIzNe3POj85+/89phKEr2fvz8Bzfgn342gt9/zwCsRgP++zOvSceSu3YPwxf04i9+8Mvka3/yoYvSyjXQZscf/cYg7njiSFp5elvsmPOG0r6r59hQbH0tdl3PvTWZrFPvXduKHZt60o5fok5k1of9u4Zx/7/H66zNbMB/v24TZpZC+J8/fCvtuB44GD9HOXDwFH733f1wWoz4u/84iVlfKPn+5z64AZGogi8/fiS57//Lr69P1oWBNjs+98ENmJgPpJXhzmuH8dXnz5chsbzffXc/BruaMLUYSlvG//sb69Pq7p4rB9FkNWHWG8yqS6nbl/ndzPIlzp3u//cTybLcetUG9LXYMTKzmLbcP/2tjXhnxoe/+j/Z++l3392fPE/5b1dfCItRZNVRm9mI+5ePT2LfprazW6/aAJvJEH8AzBdJa2dq50d37R5GOBLFvqfeTDsH+vv/OJrcnj1XDqYdu0R7+aefjWSV4Us7LkKL04x7fnRMtZyZ1wd61ulytJ+VrEf2XbVj8z8+vBlTi0FpffnDK9bBG4ym9VlfuGoDxuYC0muDO68dhttmwLw/mnZ+/ycfughCCCwF08eWW6/agGabCSfOpve/qXV924AHN7x3DcbmAjnP71d5rHhzKSS9xon3tevTyvT5D26A3exPq////bpNmFoMppUl0ef/7rv70e224R+fO47/8hvrcXhsQbK88+Ok2vWlxSTwhasuxNicP+39P9+9Cfc9dyzZHu7aPYRoDGn9yb5dQ/jpr6Yx2O2W7v9br9qwPC7Jx45cdQpA1nup26RHXS/32CNb19Ubu/DDNydzvi47fvd89BJ88MJOPHH4TNZ9iA6XBXc8fjTreKitb9+uIQTD0bT9eutVG+CyGhGKKGnHb+/OIfz9j8+3hY9u60+rd3dfvwmhyPmxLdG3Oi0CJ6e9aWXdc+Ug2pxmRGIKjp9d0ny9nHj99t/eCIvRkDU+yPrfzHO/1NftFiO++P1D0nqd2mZvvWoDzswt5GzHe3cO4fm3xnHlxp60tpJoC5/97mvS+xla7gF1e2yIxmJwLZowMuNP6xdkfcWf/84m/PbF3Xjq6HjWfnfZTOj2LGH7hV1F1/VytZ85fwA/PDKVdm66f9cwrh7u4M13nXFfl0c59zOPaXlwP5cH2w5R8cpVpxux7TTaNnN7OfYQaaVXna5opJqiKD8GcC7HR64F8KAS9zKAZiFET7HrOzo+n7yBAwCBcAy3P3YER8fnk595Z8abvBGT+MytD/8C78x4s96/bmtf8kZT4rP3Pnsc123tS/7/pz5wgfQzstf3PXkUH373+V9mqi3/k+9fm/xM4vU7njiK/2dTr+bP73vyKH5tsCt50y1f2e544iicFlvy87Ky7XsyXoa9GZ/Zubk3ebMw8dm9T8TXn/jspz5wQVYZc5Wly92UVfZ9Tx7Fpz5wgXRfyj5z77PH8eF392eVN9e+Ty2P2j5ILH/v8jHRul2pdeeOJ47gyMRisr7K9s++J4/CYTGr1lUiqrx8Y4rWz+i57EV/FLc/dkTaN9/+2BE4LOas/inxeQDYubk3ayy94/EjuOF96zDjC2V996//7RimvaFkv3l2MZj1mb1PHIVRGJIPG6W+fsP71iXLed3WPkx7Q5j2ytdzw/vWJfv0ZNmeiJcNQPJ92bbveyq+rmlvKPkL8sR79z13HDe8b520P3dYzclfGiVe//Lj8v341/92DDs39+KeHx3DjO/8PpHt78Q+S7yWWa6dm3uTJ4Gp5Tlxdinru3qODcXW12LXdWh0Prl/Pvn+tVnHL1Enss8VztfZQDiGt6e9yYeNEq/d99z5c5Sdm+PnUNPeUHIsTrz+9rQ3+QtZIL7vU+tC4jOZZfjy4+llSF2PxWjIWkZm3b332eOYWgpK61Lq9mV+N7N8iXOn1LLc86NjiMWQtdyppfMPj8jKndg3//OHb0nr6B0px0fWzu75Ubw/cFjMWe1M7fzo9seOYHwhmHUOlLo9mccu0V5kZfjLZ36JX015c5Yz8/pAL+VqPytZj+y7asfmxNkl1fpydjGY1WedmPKqXht8+fEjcNutWef30974LCuZ677nR8ek/W9qXb/hfeuS68x1fm80GFWvceJ9bXqZUse1xGtvT3uzypKog/c+exxvz3hxw/vWwWI05FxeruvL+D5cynr/Tx87nNYebCZTVn+y94n4tZHa/k8dl2R1Jledkr0n20crqevlHntk6zo6Pp/3ddnxu/XhX+DQGfl9iEV/VHo81Na394mjWfv1nh8dw/hCMOv47XsqvS1k1rtfTaWPbYm+tdlhzSrrvc8eh8NixsRCMG97kvUVZxeD0vFB7T5B6rlf6usnzi6p1uvUNvurKW/edrzvqaP4/cvXZrUV2Tla5nlHvntAb097YTOZEI4gq1+Q9RV/+i+HcVhyr+reZ4/j7GIQh0bnV1TXy9V+jk14s85N73jiCI5N8P6E3rivy6Oc+5nHtDy4n8uDbYeoeOWq043Ydhptm7m9HHuItNKrTlf0gSMNegGcTvn36PJrWYQQNwshDgohDk5NTUkXNj4fSO6whEA4hon5QPLfkwvyz5xdDGS9LwSknxXi/P/7gxHpZ/wh+evTS8G8y5/1hqWvTy3Ky672+bMqn1cr2+Ri/m2fknxG7bOp61fdTyqvT+Yoe+L/pxeDBX0mtZxqZU7dN7k+I9sfastJfT217kym/HJNbT94l9eV+lqirmqlpe0QVaPe1f0QQqz4p3d1f1Hr19J28o0pWj+j57K9y/2JWh/mVelvEv1Trr4vpsjfiynnv6v2GbWxKrPfjSnqy8g15gLn+9JitiFXP1zofszcJ7n2WUJmuXJ9L/O7xYwNaoqtr5m0tp/U7U7UkczxWu2YiZQ/2s/1mczjkjoWy5afue+1liF1Pecy6nuu41lom8x3fpr4t6zuatlPqWWTfTff+V+ubVJrZ7I6nbk9qccusyyy5eUrZ+r1gV70aD96jT2FllF2bHLVF1m7yXdcpiTn7rn6/Hxtwx9M79NVx70c5/fF9tGpZUl83h+KZLX9zOXlar9a+xq1/TKzfJ2pdZtS60yuOqX2np5jUbnHHtm61O4lpL6u2p+oLNMbiqh+R219sv2qNvantgWt7VetjnpD2tqT7DpXbXxQXUYBY0Hq/ZNEubSeM81pbI9a7hNkjo/eUETaFtX2+8SC/N5F4tiu5DyufGOPfBsmF4KFF5py4r4uD732M9tP9eB+Lg+2HaLi6VGn2XbkGm2bub0ce4i00qtOVzpSTTeKonwdwNcBYNu2bYrsMz0eO2xmQ9qOs5kN6PacnxKqy22TfqbTZZO+L/usopz/f4fVJP2MwyJ/vaPJmnf5rU6z/LsuednVPq+2rWpl07Ltna7sz6h9tivls6r7SeV1tbLbLaaU/WEt+DP5ti9z3+RffmH7OLXudLmtefeP05LehFPrqlZa2g5RNTozehof+9qLK17OgU+/r6jvaWk7+cYUrZ/Rc9lOmyln35x4X61/Uvuew2KCUcjfS01rUPtMi8pYldlfGkWOMqj0lYl+OfG+2vftObYhVz9c6H7M3Cf59lmu/Zbve4nXCx0b1BRbXzNpbT+p2504n0msM7VO5KuzuT6TeVyisfT3TYb8+15LGVLXo3ZuJjuexbbJfJ+X1V0t+ym1bKkS3028X8w2qbWzzHXJtif12GWWRba8mJL7M6nXB3rRo/3oNfYUWkbZsclVX2TtJt9xkZ275+rz87UNhzW7T9fSjxfT1+ZrOwYB2C0mNNvz13G15Qihra9R2y9ty9eZWrcptc7kq1OFLq9Q5R57ZOtSu5fQ48l/jdytskxnynWj1vXJ9qva2J/aFrS2X7XxySk5R5L2FTnGlsRnMv+7krGgvUneb2hpx80q25rZHjO/n6sNJsc5iwmQlEOtbN1u+b2LRFlWch5XvrFHvg1dbmuxRScV3Nflodd+ZvupHtzP5cG2Q1Q8Peo0245co20zt5djD5FWetXpap/haAzA6pR/9y2/VpShHjfu2j2cdtPort3DGOrxJD+zps2Jez56Sdpn7vnoJVjT5sx6/9FXR7HnysG0z+65chD//PPR5P9/48e/kn5G9vrea4bwyCunsPeaoZzL//YLbyc/k3h9/64h/J/DY5o/v/eaIbxwbBL7dw1pKtv+XUPwBgPJz8vKtveaITxzeAz7Mj7z5OtjuGV7+mf37RrCC8cnk5/9xo9/lVXGXGWZnF/KKvvea4bwzR//SrovZZ/Zc+UgHnnlVFZ5c+371PKo7YPE8vctHxOt25Vad/bvGsZwtytZX2X7Z+81Q/CFwqp1lYgqL9+YovUzei7bZTPirt3D0r75rt3D8AXDWf3TXbuH8dSh+PD75OtjWWPp/muH8cCLJ9HqsGR99/Mf3IB2pyXZb3a4rFmf2bdrCFElhv3XDmW9/sCLJ5PlfPTVUbQ5LWhzytfzwIsnk316smy7hvHgiycBIPm+bNv37hzCgy+eRJvTgs9/cEPae7dsH8QDL56U9ue+YBi3XpX++Tuvle/Hz39wA546NIZbr9qANsf5fSLb34l9lngts1xPvj6G/buGs8qzvrMp67t6jg3F1tdi17Wpz5PcP99+4e2s45eoE9nnCufrrM1swJp2J/7b1RdmHdenDo0l/7vnykG0Oy3JsTjx+pp2J+68djht36fWhSdfj38mswx3XptehtT1hKKxrGVk1t09Vw6io8kqrUup25f53czyJc6dUsty61UbYDAga7ntTVb88f8j30+p5yn/7eoLpXV0f8rxkbWzW6+K9we+YDirnamdH921exg97vQHJfZek749mccu0V5kZfjSjotwQYczZzkzrw/0Uq72s5L1yL6rdmwu6GxSrS8dLmtWn3VBh1P12uDOa4ex4A9mnd+3OS1ob8oeN269agN8gez+N7WuP/DiyeQ6c53fR2NR1WuceF+bXqbUcS3x2pp2Z1ZZEn3+nisHsbbNiQdfPIlQNJZzebmuL+P7sCnr/T/fvSmtPQTCkaz+ZN+uIXz/lVOq+z91XJLVmVx1SvaebB+tpK6Xe+yRrWuox63yuifn/YF7PnoJNq/ySO9DuOxG6fFQW9++XUNZ+/XWqzagx23NOn57d6a3hcx6t64jfWxL9K1zvmBWWfdcOQhfKIwutzVve5L1FR0uq3R8ULtPkHrul/r6+s4m1Xqd2mbXdTjztuO9O4fwjy+/ndVWZOdomecd+e4BrW13IhCJwGxEVr8g6yv+/Hc2YVNPdh3Zc+UgOl1WbO7zrKiul6v9bOh2Zp2b7t81jA3dvD+hN+7r8ijnfuYxLQ/u5/Jg2yEqXrnqdCO2nUbbZm4vxx4irfSq00JRpA/plY0QYg2ApxRFGZa899sAPgPgtwC8B8B9iqJclm+Z27ZtUw4ePCh9LxKJ4ej4PCbmA+j22DDU44HJZEj7TCym4J0ZL84uBtDpsmFNmxOGlD9zS3u/yYpZfxgT8wH0eGywmAwYm/Wjp9mGWAwYm/Ojr9mOqKJgfPkzAsDoXACrW+yIRGMYXwii222F3WzE2zM+9LfaEYkpmJgPpH23t9mGmAKMzQWwts0BfziKiYUgutxWeGxGHDvrw+pmGyJKPD5ulccGg4ivq7/VjnA0hvH5IHo8VpiNBpw658f6TgcWA1FMLgTR47HBJIDTc/F1KQDOzAXQ5baiy23EkTEfBrscmPPFP9+3XJ4z8wF0u62wmgwYOefHhi4H5v3xzySWM+sLwW0zY2oxiA6XFQ6LEW9P+7Cu3QFvKP7Z9DKeL8vqFhsisfg2dbmt6HQZ8daEHxd02HFuuSzdbivsFiPemfahy21Fk82IUzN+9LfasRSM76fEZ0ZmfFjVbIOAwNicH2vbHVgKni+vQcT38epWO0Lh+PHpbY7/9d/YXCC53ePz8WMYTj2Gy8vvctvQ6bbgzFz8mM95w5hYCKCn2QbD8np7W+wIRWLJemEQAqOzfnS5rdjU44HNZkqrr/1tdgTDCiYWAmhvssJkAJodFkRjwNSSvK5mNqmVtB2iaiOE0G2GIw1jYc72k6vt5BtTtH5Gz2XHYgqOjs/jnDcIl82CcDSGLrcN/S0OjM75MLMUQiASRSgSQ3+rEwOtDpya9SWX0d+S/u8+jx1vTixgyhtEq92CQCSKYCQGl82MWV8IrQ4zYgowtRTEKo8dQgCLgQgWgxG0OsxwWkwQAvCHo/HPLQbR4rTAbTUhFI1hIRCCw2LG9FIQ3W4bIrF4xEQkqsAXisJjN8MfjsBiNMBtN2MxEMGMN4QulxV2iwG+UAznvCE4rSa02E0IhGOY9YfhsZkx4wuizWmFLxRBk8UEk0Fgyhs6/57DCn84giabGQYBeINR+EJROCxGOMxGTHlD6GiyIBpTML0U//8YYjAJI8KxGEIRBf5wFK1OC+b8IbisJliMBsz6Q2iymuELReCxmeELR+ENRtHsMCMSjcJmNmEpGIEvFEWnywqDAJaCETRZ4/vUYTGh1WnEnC+K6aUQXDYTWpxmhCMxmIyG5XJG0N/qxNp2bfVJqwLr64rGnlhMwalzXkwuBOELRbCuw4mpxRBmfSE0280IRxV0u61YDEYw749HozTbTWh2mpLnK11uK2ym+D53mE045wuhxW7BQjBeB3yhCIwGA5qsJgQjUcz5wmhxWrAQCKPJGq8TZqMB/nAUC74InDYjepvtiMbiEScOsxGBSAQWoxFLoSi8wQi6XFZYTAYsBiOY9YbQ5ozXI6PBAKMBcCzPauELRXHOG0KnK37ucs4bxmIggiarCQ6LETPeENqdFhgMAguBCJYCEbQ1WeCyGeENRjHrDcNjNyMSi8JkMGJqKYgulxU2ixGzvjD8oShaHGaEo1GYjUZMe+N10GU1YSkUhsVkRDAcgy8URbPdjMVgGO1NVkSiCqaWgvDYzQhGonBZzQhFo1gMxOuoPxSBy2ZCTBGYXgrCaTWhyWKEPxyB2WjEUjAMm9mEQDgCp8WM+UAYTosRQgB2kxEQAmeXgvDYzFgMhNFkNcJiNGJiMYBulw2BSBTzgQjanRb0tFgxuxTBfCAMfzCKJpsJsVgMNrMJM94Q7GYjrGYB+3Kb6XTZYDQA00tBmI0GhKIxWIwG+EJROC1GhKMKokoUgAFzy/1AJBqF1WzCOW8IXW6r9PpAL3q2n5WOPVrK2NEU358TCwF0u21p5519HjuOTS1i3h+GLxiF225GIByB1WyE0SDgW+6zZrwhdLutaHaaMb0QgjcUQVRRYDUZsRSItymnxYRQNAqLwYBgVMHZxSA6miywGg2YC4TgtlrgDUXgD8XgtBlhMxmxEAihxWFFKBLD2eW677QaMe+PjwHtTRa0OExYDMT77UA4hvYmM2KKwNRiEE22eFuY9gbR2WRFMBLDjDeEZocZJiEw6wvDbjGiyWpANCYw4433tcFIFG6bOT4++SOwW4xwWgwQEFhcjlBqc1qwGAzDIASaLCYsBsOwm00IRSNodVqxFIzGr4ua4n1Dq9OCYCR+nt/rOX/95LFboEDB2YX49nW3WHF2LoSl5diqte1OrG1zYuScD6fOedFkNcFuMSKmKAiGY5hcDMb7F6sRp87Fr0tjUDCzdH78z2wzvlAUXe4818AZdSrx3uRCAA6LEeFoDO1N1kKuUwqql+UYe2Tr0vJ6ZjtJfEZ2H8JgEHhnxotzXvm+j8UUvD3txalzXjgsJnS5rfCGIpj1huENRuC2m+G2mxAIxeAPR+Cyxs8nHBYjFEWBEAK+UBQdTVZElShmfRHMLIXQ0WRFl8eKLqcNRyYWMLEQQJvTApMRMAoDOj0WTM6FMLUURJPVBKtZwCQMmPGF0OawwBuKYml5rPOHo1gIRNDmtMBsFJhcCKLZYQYAzPvjddtkEAiEwzAajFgIhOGwmBCKRGE3m7AQDMNljY8Fbvv58Wp+uX8+5wvBYzfDbBSwmgzwh2PJsd1qFBhfbhu+cBS+5fOoqBKF2WBa7jPi52BumxGz/vPbH4lFYTAYIIQCAUPyPoXFaIiPfzYzZrxBdLltUBRgLhA/h/AG49vqDcXX1+I0w2I0YHIhCJvFALvFCKMADEKgxWlBOBKPS1sKxsdNj90MRYm370Aohu5mKy7ujo85kUgMb4zPY3w+CKfVCKfFiBanBf2tKz+PK9fYM+cP4NiEN3mMNnQ70WzXf8ZA4r4ulwL384rGHh7T8uB+Lg+2HaLi6dl+2HbSNdo2c3s59hBppUf7qegDR0KI7wL4DQDtACYB7AVgBgBFUf5eCCEAfBXADgA+ADcqipL3aQg+NEEkxQeOqK7UygNHRA2OYw9R8Tj2EBWHYw9R8Tj2EBWHYw9Rcdh2iIrH8zai4nDsISqetP2Yyl2KVIqifDzP+wqAPypTcYiIiIiIiIiIiIiIiIiIiIiIKI/SZAUQEREREREREREREREREREREVFd4gNHRERERERERERERERERERERESkGR84IiIiIiIiIiIiIiIiIiIiIiIizfjAERERERERERERERERERERERERacYHjoiIiIiIiIiIiIiIiIiIiIiISDM+cERERERERERERERERERERERERJrxgSMiIiIiIiIiIiIiIiIiIiIiItKMDxwREREREREREREREREREREREZFmfOCIiIiIiIiIiIiIiIiIiIiIiIg04wNHRERERERERERERERERERERESkGR84IiIiIiIiIiIiIiIiIiIiIiIizfjAERERERERERERERERERERERERacYHjoiIiIiIiIiIiIiIiIiIiIiISDM+cERERERERERERERERERERERERJrxgSMiIiIiIiIiIiIiIiIiIiIiItKMDxwREREREREREREREREREREREZFmfOCIiIiIiIiIiIiIiIiIiIiIiIg04wNHRERERERERERERERERERERESkGR84IiIiIiIiIiIiIiIiIiIiIiIizfjAERERERERERERERERERERERERacYHjoiIiIiIiIiIiIiIiIiIiIiISDM+cERERERERERERERERERERERERJrxgSMiIiIiIiIiIiIiIiIiIiIiItKMDxwREREREREREREREREREREREZFmfOCIiIiIiIiIiIiIiIiIiIiIiIg04wNHRERERERERERERERERERERESkGR84IiIiIiIiIiIiIiIiIiIiIiIizSr6wJEQYocQ4i0hxAkhxJck7/cLIZ4XQrwmhDgkhPitSpSTiIiIiIiIiIiIiIiIiIiIiIjiKvbAkRDCCOB+AB8CcDGAjwshLs742O0AHlYU5VIAvwvgb8tbSiIiIiIiIiIiIiIiIiIiIiIiSlXJGY4uA3BCUZSTiqKEAHwPwLUZn1EAuJf/3wPgTBnLR0REREREREREREREREREREREGSr5wFEvgNMp/x5dfi3VnwH4T0KIUQBPA/is2sKEEDcLIQ4KIQ5OTU3pXVaiusW2Q1Qcth2i4rH9EBWHbYeoeGw/RMVh2yEqHtsPUXHYdoiKw7ZDVDy2H6LiVfKBIy0+DuA7iqL0AfgtAA8JIaRlVhTl64qibFMUZVtHR0dZC0lUy9h2iIrDtkNUPLYfouKw7RAVj+2HqDhsO0TFY/shKg7bDlFx2HaIisf2Q1S8Sj5wNAZgdcq/+5ZfS3UTgIcBQFGUlwDYALSXpXRERERERERERERERERERERERJSlkg8cvQJgUAixVghhAfC7AJ7I+MwpAFcCgBBiI+IPHHEeMyIiIiIiIiIiIiIiIiIiIiKiCqnYA0eKokQAfAbA/wHwJoCHFUU5KoTYL4TYtfyxLwD4QyHE6wC+C+CTiqIolSkxERERERERERERERERERERERGZKrlyRVGeBvB0xmt3pPz/GwB+rdzlIiIiIiIiIiIiIiIiIiIiIiIiuUpGqhERERERERERERERERERERERUY3hA0dERERERERERERERERERERERKQZHzgiIiIiIiIiIiIiIiIiIiIiIiLN+MARERERERERERERERERERERERFpxgeOiIiIiIiIiIiIiIiIiIiIiIhIMz5wREREREREREREREREREREREREmvGBIyIiIiIiIiIiIiIiIiIiIiIi0owPHBERERERERERERERERERERERkWZ84IiIiIiIiIiIiIiIiIiIiIiIiDTjA0dERERERERERERERERERERERKQZHzgiIiIiIiIiIiIiIiIiIiIiIiLN+MARERERERERERERERERERERERFpxgeOiIiIiIiIiIiIiIiIiIiIiIhIMz5wREREREREREREREREREREREREmvGBIyIiIiIiIiIiIiIiIiIiIiIi0owPHBERERERERERERERERERERERkWZ84IiIiIiIiIiIiIiIiIiIiIiIiDTjA0dERERERERERERERERERERERKQZHzgiIiIiIiIiIiIiIiIiIiIiIiLN+MARERERERERERERERERERERERFpxgeOiIiIiIiIiIiIiIiIiIiIiIhIMz5wREREREREREREREREREREREREmvGBIyIiIiIiIiIiIiIiIiIiIiIi0owPHBERERERERERERERERERERERkWZ84IiIiIiIiIiIiIiIiIiIiIiIiDTjA0dERERERERERERERERERERERKQZHzgiIiIiIiIiIiIiIiIiIiIiIiLN+MARERERERERERERERERERERERFpVtEHjoQQO4QQbwkhTgghvqTymY8KId4QQhwVQvxTuctIRERERERERERERERERERERETnmSq1YiGEEcD9AK4CMArgFSHEE4qivJHymUEA/x+AX1MUZVYI0VmZ0hIREREREREREREREREREREREVDZGY4uA3BCUZSTiqKEAHwPwLUZn/lDAPcrijILAIqinC1zGYmIiIiIiIiIiIiIiIiIiIiIKEUlHzjqBXA65d+jy6+l2gBggxDi/wohXhZC7FBbmBDiZiHEQSHEwampqRIUl6g+se0QFYdth6h4bD9ExWHbISoe2w9Rcdh2iIrH9kNUHLYdouKw7RAVj+2HqHiVfOBICxOAQQC/AeDjAL4hhGiWfVBRlK8rirJNUZRtHR0d5SshUY1j2yEqDtsOUfHYfoiKw7ZDVDy2H6LisO0QFY/th6g4bDtExWHbISoe2w9R8Vb8wJEQwiiEeL6Ir44BWJ3y777l11KNAnhCUZSwoihvAziG+ANIRERERERERERERERERERERERUASt+4EhRlCiAmBDCU+BXXwEwKIRYK4SwAPhdAE9kfOYxxGc3ghCiHfGItZMrKjARERERERERERERERERERERERXNpNNylgAcFkL8CIA38aKiKLeofUFRlIgQ4jMA/g8AI4B/UBTlqBBiP4CDiqI8sfze1UKINwBEAfyxoigzOpWZiIiIiIiIiIiIiIiIiIiIiIgKpNcDR/+8/FMQRVGeBvB0xmt3pPy/AuDW5R8iIiIiIiIiIiIiIiIiIiIiIqowXR44UhTlASGEHUC/oihv6bFMIiIiIiIiIiIiIiIiIiIiIiKqPgY9FiKEuAbALwA8s/zvS4QQT+ixbCIiIiIiIiIiIiIiIiIiIiIiqh66PHAE4M8AXAZgDgAURfkFgHU6LZuIiIiIiIiIiIiIiIiIiIiIiKqEXg8chRVFmc94LabTsomIiIiIiIiIiIiIiIiIiIiIqEqYdFrOUSHE7wEwCiEGAdwC4EWdlk1ERERERERERERERERERERERFVCrxmOPgtgCEAQwHcBLAD4nE7LJiIiIiIiIiIiIiIiIiIiIiKiKqHLDEeKovgA/OnyDxERERERERERERERERERERER1akVPXAkhHgSgKL2vqIou1ayfCIiIiIiIiIiIiIiIiIiIiIiqi4rneHofy7/9zoA3QD+9/K/Pw5gcoXLJiIiIiIiIiIiIiIiIiIiIiKiKrOiB44URfkPABBCfEVRlG0pbz0phDi4opIREREREREREREREREREREREVHVMei0HKcQYl3iH0KItQCcOi2biIiIiIiIiIiIiIiIiIiIiIiqxEoj1RI+D+DfhRAnAQgAAwA+rdOyiYiIiIiIiIiIiIiIiIiIiIioSujywJGiKM8IIQYBXLT80i8VRQnqsWwiIiIiIiIiIiIiIiIiIiIiIqoees1wBADvArBmeZlbhBBQFOVBHZdPREREREREREREREREREREREQVpssDR0KIhwBcAOAXAKLLLysA+MAREREREREREREREREREREREVEd0WuGo20ALlYURdFpeUREREREREREREREREREREREVIUMOi3nCIBunZZFRERERERERERERERERERERERVSq8ZjtoBvCGE+BmAYOJFRVF26bR8IiIiIiIiIiIiIiIiIiIiIiKqAno9cPRnOi2HiIiIiIiIiIiIiIiIiIiIiIiqmC4PHCmK8h9CiAEAg4qi/JsQwgHAqMeyiYiIiIiIiIiIiIiIiIiIiIioehj0WIgQ4g8BfB/A15Zf6gXwmB7LJiIiIiIiIiIiIiIiIiIiIiKi6qHLA0cA/gjArwFYAABFUY4D6NRp2UREREREREREREREREREREREVCX0euAoqChKKPEPIYQJgKLTsomIiIiIiIiIiIiIiIiIiIiIqEro9cDRfwgh/gSAXQhxFYBHADyp07KJiIiIiIiIiIiIiIiIiIiIiKhK6PXA0ZcATAE4DOBmAP+qKMqf6rRsIiIiIiIiIiIiIiIiIiIiIiKqEit64EgIca0Q4o8URYkpivINAAMAtgH4EyHEh3UpIRERERERERERERERERERERERVY2VznD0RQBPpPzbAuBdAH4DwH9d4bKJiIiIiIiIiIiIiIiIiIiIiKjKrPSBI4uiKKdT/v2CoijnFEU5BcCZ78tCiB1CiLeEECeEEF/K8bnrhRCKEGLbCstLREREREREREREREREREREREQrsNIHjlpS/6EoymdS/tmR64tCCCOA+wF8CMDFAD4uhLhY8jkXgD0AfrrCshIRERERERERERERERERERER0Qqt9IGjnwoh/jDzRSHEpwH8LM93LwNwQlGUk4qihAB8D8C1ks/dCeBuAIEVlpWIiIiIiIiIiIiIiIiIiIiIiFZopQ8cfR7AjUKI54UQX1n++XcAnwTwuTzf7cX/z96dx0dV3/vjf53ZMkuSyb4QSEIkbCGAGBF7jb2CUuwXxZ3WW3tr8eb6/Rahpb217XX5utTWpbRS7W2p3lbt14otrVsptYX2qj9XXNgEAQOJwWxkzyST2c7vj3AOM5lzkpnJme3k9Xw88mgNkzmfM3M+57Oc9+f9AYK3Y2s5/TuZIAhLAMwQRfFPExVEEIQGQRD2CIKwp7OzM4pTIJraWHeIYsO6QxQ71h+i2LDuEMWO9YcoNqw7RLFj/SGKDesOUWxYd4hix/pDFLtJBRyJotghiuJnMJqF6MTpn7tFUTxfFMX2yby3IAgGAJsBfDPCsmwVRbFOFMW6wsJxd3MjoiCsO0SxYd0hih3rD1FsWHeIYsf6QxQb1h2i2LH+EMWGdYcoNqw7RLFj/SGKnUmLNxFFcTeA3VH+2UkAM4L+e/rp30myACwA8A9BEACgBMALgiBcLorinkkUl4iIiIiIiIiIiIiIiIiIiIiIYjTZLdUm4x0A1YIgzBQEwQLgCwBekP5RFMU+URQLRFGsFEWxEsCbABhsRERERERERERERERERERERESUREkLOBJF0QdgPYC/ADgE4FlRFA8KgnC3IAiXJ6tcRERERERERERERERERERERESkTpMt1WIliuIOADvG/O4Oldf+cyLKRERERERERERERERERERERERE6pK5pRoREREREREREREREREREREREaUZBhwREREREREREREREREREREREVHEGHBEREREREREREREREREREREREQRY8ARERERERERERERERERERERERFFjAFHREREREREREREREREREREREQUMQYcERERERERERERERERERERERFRxBhwREREREREREREREREREREREREEWPAERERERERERERERERERERERERRYwBR0REREREREREREREREREREREFDEGHBERERERERERERERERERERERUcQYcERERERERERERERERERERERERBFjwBEREREREREREREREREREREREUWMAUdERERERERERERERERERERERBQxBhwREREREREREREREREREREREVHEGHBEREREREREREREREREREREREQRY8ARERERERERERERERERERERERFFjAFHREREREREREREREREREREREQUMQYcERERERERERERERERERERERFRxBhwREREREREREREREREREREREREEWPAERERERERERERERERERERERERRYwBR0REREREREREREREREREREREFDEGHBERERERERERERERERERERERUcQYcERERERERERERERERERERERERBFjwBEREREREREREREREREREREREUWMAUdERERERERERERERERERERERBQxBhwREREREREREREREREREREREVHEGHBEREREREREREREREREREREREQRS2rAkSAIqwRB+EgQhGOCIHxH4d83CYLwoSAI+wRB2CUIQkUyyklERERERERERERERERERERERKOSFnAkCIIRwKMALgUwH8AXBUGYP+Zl7wOoE0VxIYDfA3ggsaUkIiIiIiIiIiIiIiIiIiIiIqJgycxwtBTAMVEUG0VR9AB4BsCa4BeIovh3URSHTv/nmwCmJ7iMREREREREREREREREREREREQUJJkBR2UAPgn675bTv1OzDsCf41oiIiIiIiIiIiIiIiIiIiIiIiIaVzIDjiImCMKXANQBeHCc1zQIgrBHEIQ9nZ2diSscUZpj3SGKDesOUexYf4hiw7pDFDvWH6LYsO4QxY71hyg2rDtEsWHdIYod6w9R7JIZcHQSwIyg/55++nchBEG4GMB/ArhcFMURtTcTRXGrKIp1oijWFRYWal5YIr1i3SGKDesOUexYf4hiw7pDFDvWH6LYsO4QxY71hyg2rDtEsWHdIYod6w9R7JIZcPQOgGpBEGYKgmAB8AUALwS/QBCEswH8AqPBRh1JKCMREREREREREREREREREREREQVJWsCRKIo+AOsB/AXAIQDPiqJ4UBCEuwVBuPz0yx4EkAngd4IgfCAIwgsqb0dERERERERERERERERERERERAlgSubBRVHcAWDHmN/dEfT/L054oYiIiIiIiIiIiIiIiIiIiIiISFUyt1QjIiIiIiIiIiIiIiIiIiIiIqI0w4AjIiIiIiIiIiIiIiIiIiIiIiKKGAOOiIiIiIiIiIiIiIiIiIiIiIgoYgw4IiIiIiIiIiIiIiIiIiIiIiKiiDHgiIiIiIiIiIiIiIiIiIiIiIiIIsaAIyIiIiIiIiIiIiIiIiIiIiIiihgDjoiIiIiIiIiIiIiIiIiIiIiIKGIMOCIiIiIiIiIiIiIiIiIiIiIioogx4IiIiIiIiIiIiIiIiIiIiIiIiCLGgCMiIiIiIiIiIiIiIiIiIiIiIooYA46IiIiIiIiIiIiIiIiIiIiIiChiDDgiIiIiIiIiIiIiIiIiIiIiIqKIMeCIiIiIiIiIiIiIiIiIiIiIiIgixoAjIiIiIiIiIiIiIiIiIiIiIiKKGAOOiIiIiIiIiIiIiIiIiIiIiIgoYgw4IiIiIiIiIiIiIiIiIiIiIiKiiDHgiIiIiIiIiIiIiIiIiIiIiIiIIsaAIyIiIiIiIiIiIiIiIiIiIiIiihgDjoiIiIiIiIiIiIiIiIiIiIiIKGIMOCIiIiIiIiIiIiIiIiIiIiIioogx4IiIiIiIiIiIiIiIiIiIiIiIiCLGgCMiIiIiIiIiIiIiIiIiIiIiIooYA46IiIiIiIiIiIiIiIiIiIiIiChiDDgiIiIiIiIiIiIiIiIiIiIiIqKIMeCIiIiIiIiIiIiIiIiIiIiIiIgixoAjIiIiIiIiIiIiIiIiIiIiIiKKGAOOiIiIiIiIiIiIiIiIiIiIiIgoYgw4IiIiIiIiIiIiIiIiIiIiIiKiiJmSeXBBEFYBeBiAEcBjoij+cMy/ZwB4EsA5ALoArBVF8USiy5lMgYCIE10utPe7UZxtRWW+AwaDkHLvmQzpfh7pXn4ionSU6vdepfIBSEqZU/2z0qNAQMTxUy40dbvgsJhQnJ2B8jztP/dEfLe8fkhLsVxPkf5NJK/j9UwUvbH1pjzXjuaeoZjrUTzvA0TpxuPxY9+nfWjrd6M024raaU5YLMZkF0t3EnkP8fkCONjah9Y+N0qdNtSUZsNk4jphSk+JvJ7dbh/2t/ahrX8EJdkZqC11wmpN6iMvorTAdkf/ptpYKJHnO9U+W9I/LcaXSet9CYJgBPAogEsAtAB4RxCEF0RR/DDoZesA9IiiOEsQhC8AuB/A2sSXNjkCARE7D7Zh07MfwO0NwGo2YPN1i7GqpiTmm1c83jMZ0v080r38RETpKNXvvWrls5gErH/6/YSWOdU/Kz1S+sw3rqhGdXEmls8p1uxzT8R3y+uHtBTL9RTp30TyOl7PRNFTqjf3XrEAP919FE1dw1HXo3jeB4jSjcfjx3P7PsUdzx+Qr+271yzAFQunMehIQ4m8h/h8ATy39yRue+5AyD3zikVlfPhLaSeR17Pb7cML+1txxwtB98PLF+Dy2lIGHRGNg+2O/k21sVAiz3eqfbakf1qNL5PZeiwFcEwUxUZRFD0AngGwZsxr1gB44vT//z2AFYIgTJkae6LLJd+0AMDtDWDTsx/gRJcrpd4zGdL9PNK9/ERE6SjV771q5dvX0pfwMqf6Z6VHSp/5w7uOYl9Ln6afeyK+W14/pKVYrqdI/yaS1/F6JoqeUr257bkDWL2wTP7vaOpRPO8DROlm36d98mQwMHpt3/H8Aez7tC/JJdOXRN5DDrb2yQ99pWPd9twBHGzld0rpJ5HX8/7WPjnYSDrWHS8cwH7WHaJxsd3Rv6k2Fkrk+U61z5b0T6vxZTIDjsoAfBL03y2nf6f4GlEUfQD6AOQrvZkgCA2CIOwRBGFPZ2dnHIqbeO39bvkLlri9AXQMuFPqPZMh3c8jlcqvx7pDlAisO+knle69StTKFxAR9rt4lznenxXrT7jxvn8tv+9E1INUr2vpbCrWnViup0j/JpLX8XrWj6lYf5JFrd4ELx+Lph7F8z5AE2PdSS1tKtd2ez+vbS1pdQ+JpP609ikfq62P3ymlH62u50jqTlv/iMr9cCS6QhPpCNsdAqbeWCiR/bap9tmS/mk1vtRNfjxRFLeKolgnimJdYWFhsoujieJsK6zm0K/IajagKMuaUu+ZDOl+HqlUfj3WHaJEYN1JP6l071WiVr6x2VgTUeZ4f1asP+HG+/61/L4TUQ9Sva6ls6lYd2K5niL9m0hex+tZP6Zi/UkWtXojiqH/HWk9iud9gCbGupNaSlWu7eJsXtta0uoeEkn9KXXaFI9V4uR3SulHq+s5krpTkp2hcj/MiK7QRDrCdoeAqTcWSmS/bap9tqR/Wo0vkxlwdBLAjKD/nn76d4qvEQTBBMAJoCshpUsBlfkObL5usfxFS3tBVuY7Uuo9kyHdzyPdy09ElI5S/d6rVr6F050JL3Oqf1Z6pPSZb1xRjYXTnZp+7on4bnn9kJZiuZ4i/ZtIXsfrmSh6SvXm3isW4KV9J+X/jqYexfM+QJRuaqc5cfeaBSHX9t1rFmDhNGeSS6YvibyH1JRm494rFoTdM2tK+Z1S+knk9Vxb6sTdl4+5H16+ALWsO0TjYrujf1NtLJTI851qny3pn1bjS0EUxYlfFQenA4iOAFiB0cCidwBcL4riwaDXfA1ArSiKNwuC8AUAV4mieN1E711XVyfu2bMnTiVPrEBAxIkuFzoG3CjKsqIy3wHD2FQHKfCeyZDu55GE8k/45nqqO6R/giBg7S9en/T7bPv3zyCCtnDc+sO6kz5Sve1QKh+ApJRZo8+KbU8UAgERx0+50Nztgt1iQnF2BsrztP++E1EPUr2upQm2PafFcj1F+jeRvI7Xc9ph25MCxtab8lw7mnuGYq5H8bwPUAi2PWnA4/Fj36d9aO93ozjbioXTnLBYjMkulu5EeQ+ZVNvj8wVwsLUPbX1ulDitqCl1wmTSzcYENMVEeT1Pqu643T7sb+1De/8IirMzUFvqhNVqmkTpidJKzP02tjv6N9XGQonst021z5b0L8rxpeLFnrSAIwAQBOHzAH4CwAjgv0VR/L4gCHcD2COK4guCIFgBPAXgbADdAL4gimLjRO/LCRAiRZx4J11hwBFRWmDbQxQ7tj1EsWHbQxQ7tj1EsWHbQxQb1h2i2LHfRhQbtj1EsVOsP0kN9xZFcQeAHWN+d0fQ/3cDuDbR5SIiIiIiIiIiIiIiIiIiIiIiImXMkUdERERERERERERERERERERERBFjwBERRaVsRjkEQZj0T9mM8mSfChEREREREREREREREREREcUgqVuqEVH6+bTlE6z9xeuTfp9t//4ZDUpDREREREREREREREREREREiSaIopjsMmhOEIROAE3JLscECgCcSnYhEmgqnW+qnuspURRXjfeCCOtOqp0fyzOxVCtTOpZn3PqjQbuTap9JLNL9HNK9/EBqnoMWbU8qntdY6VBGID3KyTKeEe+2J57S4XtUk85lB9K7/FqVXatxj5ZlSiY9nAOgj/NIh3PQou1Jh/McKx3LDKRnufVaZr3OuUWCZU4MvZZZr3WH5RlfqpUHSL0yJWq+OtXOOxGm2jnzfMOx7UkMlmd8qVYeYBL1R5cBR+lAEIQ9oijWJbsciTKVzlfv55pq58fyTCzVysTypGYZJivdzyHdyw/o4xyUpMN5pUMZgfQoJ8uoD+n8GaVz2YH0Ln8qlj0VyxQtPZwDoI/z0MM5RCIdzzMdywykZ7lZ5tQ5llZY5sRgmVPnWJFgecaXauUBUq9MiSpPqp13Iky1c+b56uNYkWB5xsfyTGwyZTJoXRgiIiIiIiIiIiIiIiIiIiIiItIvBhwREREREREREREREREREREREVHEGHCUPFuTXYAEm0rnq/dzTbXzY3kmlmplYnnCpUIZJivdzyHdyw/o4xyUpMN5pUMZgfQoJ8uoD+n8GaVz2YH0Ln8qlj0VyxQtPZwDoI/z0MM5RCIdzzMdywykZ7lZ5tQ5llZY5sRgmVPnWJFgecaXauUBUq9MiSpPqp13Iky1c+b56uNYkWB5xsfyTCzmMgmiKGpZECIiIiIiIiIiIiIiIiIiIiIi0jFmOCIiIiIiIiIiIiIiIiIiIiIioogx4IiIiIiIiIiIiIiIiIiIiIiIiCLGgCMiIiIiIiIiIiIiIiIiIiIiIoqYLgOOVq1aJQLgD3/4E/ozIdYd/vBH9WdcrDv84Y/qz4RYf/jDH9WfcbHu8Ic/qj8TYv3hD39Uf8bFusMf/qj+TIj1hz/8UfyZEOsOf/ij+jMu1h3+8Ef1Z0KsP/zhj+qPIl0GHJ06dSrZRSBKS6w7RLFh3SGKHesPUWxYd4hix/pDFBvWHaLYsf4QxYZ1hyg2rDtEsWP9IYqOLgOOiIiIiIiIiIiIiIiIiIiIiIgoPhhwREREREREREREREREREREREREEWPAERERERERERERERERERERERERRYwBR0REREREREREREREREREREREFDFTsgtAiREIiDjR5UJ7vxvF2VZU5jtgMAjJLhYRUdLwvkhEpD3eWykd8bolonjgvYXihdeW/vA7JYoN6w4RRYr3CyIiZVrcHxlwNAUEAiJ2HmzDpmc/gNsbgNVswObrFmNVTQkbVCKaknhfJCLSHu+tlI543RJRPPDeQvHCa0t/+J0SxYZ1h4gixfsFEZEyre6P3FJtCjjR5ZIvFABwewPY9OwHONHlSnLJiIiSg/dFIiLt8d5K6YjXLRHFA+8tFC+8tvSH3ylRbFh3iChSvF8QESnT6v7IgKMpoL3fLV8oErc3gI4Bd5JKRESUXLwvEhFpj/dWSke8bokoHnhvoXjhtaU//E6JYsO6Q0SR4v2CiEiZVvfHpAYcCYLw34IgdAiCcEDl3/9ZEIQ+QRA+OP1zR6LLqAfF2VZYzaFftdVsQFGWNUklIiJKLt4XiYi0x3srpSNet0QUD7y3ULzw2tIffqdEsWHdIaJI8X5BRKRMq/tjsjMc/RrAqgle86ooiotP/9ydgDLpTmW+A5uvWyxfMNL+e5X5jiSXjIgoOXhfJCLSHu+tlI543RJRPPDeQvHCa0t/+J0SxYZ1h4gixfsFEZEyre6PpngULlKiKL4iCEJlMsswFRgMAlbVlGDuhnp0DLhRlGVFZb4DBoOQ7KJNSiAg4kSXC+39bhRn6+OcUhk/b9ITvd4XiSi9pXtby3srpaNIrtt0r5tEqWCq1SO2iRQvBoOAlfOKsa1hGVr73Ch12lBTms1rK43xOyWKDesOUezYN9f/ORMRRUKr/lRSA44idL4gCHsBfArgW6IoHlR6kSAIDQAaAKC8vDyBxUsPBoOAqsJMVBVmJrsomggEROw82IZNz34AtzcgR9ytqilhJyFKkdQdft6kR5O9L7LdIYod6084vbS1eutzphrWnfgY77rVS90k1p9kmqr1SC9tIutOagkERLx8qH3K1ad0FemcG79TolCsO0Sx4bMedXrpm1P8cNxDU5FW/alkb6k2kfcAVIiiuAjATwE8p/ZCURS3iqJYJ4piXWFhYaLKR0lyosslX/wA4PYGsOnZD3Ciy5XkkqWfSOoOP2+icGx3iGLH+hOObS1FgnUn8Vg39YP1J3lYj9Ib605qYX1KL5xzI4oN6w5RbFh3iGLHcQ9NRVq1CSkdcCSKYr8oioOn//8OAGZBEAqSXCxKAe39bvnil7i9AXQMuJNUIn3j501ERBRfbGuJUhPrJtHksR4RaYf1SX/4nRLFhnWHKDasO0REJNGqTUjpgCNBEEoEQRBO//+lGC1vV3JLRamgONsKqzn08rWaDSjKsiapRPrGz5uIiCi+2NYSpSbWTaLJYz0i0g7rk/7wOyWKDesOUWxYd4iISKJVm5DUgCNBEH4L4A0AcwRBaBEEYZ0gCDcLgnDz6ZdcA+CAIAh7AWwB8AVRFMVklZdSR2W+A5uvWyxXAmlPwcp8R5JLpk/8vImIiOKLbS1RamLdJJo81iMi7bA+6Q+/U6LYsO4QxYZ1h4iIJFq1CaZ4FC5Soih+cYJ/fwTAIwkqDqURg0HAqpoSzN1Qj44BN4qyrKjMd8BgEJJdNF3i501ERBRfbGuJUhPrJtHksR4RaYf1SX/4nRLFhnWHKDasO0REJNGqTUhqwBHRZBgMAqoKM1FVmJnsokwJ/LyJiIjii20tUWpi3SSaPNYjIu2wPukPv1Oi2LDuEMWGdYeIiCRatAlJ3VKNiIiIiIiIiIiIiIiIiIiIiIjSCwOOiIiIiIiIiIiIiIiIiIiIiIgoYgw4IiIiIiIiIiIiIiIiIiIiIiKiiDHgiIiIiIiIiIiIiIiIiIiIiIiIIsaAIyIiIiIiIiIiIiIiIiIiIiIiihgDjoiIiIiIiIiIiIiIiIiIiIiIKGIMOCIiIiIiIiIiIiIiIiIiIiIioogx4IiIiIiIiIiIiIiIiIiIiIiIiCLGgCMiIiIiIiIiIiIiIiIiIiIiIooYA46IiIiIiIiIiIiIiIiIiIiIiChipmQXgJIrEBBxosuF9n43irOtqMx3wGAQkl0sIqK44/2PiIgAtgepjt8PUWpjHSVKPNY7/eF3ShQb1h0iIgLYHhBNhhb1hwFHU1ggIGLnwTZsevYDuL0BWM0GbL5uMVbVlKT1jZgNCxFNRK/3PyKisdgvGh/bg9Tm8wXwpwOtuHX7Pn4/RClID/dQtpPa4WeZGHqodxSK3ylRbFh3iCga7KvqF9sDothpVX+4pdoUdqLLJV9AAOD2BrDp2Q9wosuV5JLFTqoYn9/yKr74y7fw+S2vYufBNgQCYrKLRkQp5Pgp5fvf8VPpe/8jIhqL/aKJ6bE/rBeBgIjXG7vkYCOA3w9Rqkn3eyjbSe3ws0ycdK93FI7zE0SxYd0hokixr6pv7B8TxU6r/hQDjqaw9n63fAFJ3N4AOgbcqn8TCIho7BzEGx+fQmPnYMo1yGxYiCgSTd0uxftfczfvFUSkH6nQL0r1vmMs/WHSxkTXxokuF/Y0dfP7IUph6X4PTUQ7mertoFZSoc8xVaR7vUsniaq/nJ8gig3rDunRVOk7Jhr7qvrG/jFR7LTqTyV1SzVBEP4bwGoAHaIoLlD4dwHAwwA+D2AIwFdEUXwvsaXUr+JsK6xmQ8iFZDUbUJRlVXx9OqSlG69hqSrMTFKpiCjVOCwmxfuf3cKdRolIP5LdL0qHvmO0/WHSRiTXRnu/GwER/H6IUli630Pj3U6mQzuolWT3OaaSdK936SKR9ZfzE0SxYd0hvZlKfcdEU+urtvezr6oH7B8TxU6r/lSyMxz9GsCqcf79UgDVp38aAPxXAso0ZVTmO7D5usWwmkcvA6kDU5nvUHx9OkQBSw1LMDYsRDSWI8OIjSuqQ+5/G1dUw5FhTHLJiIi0k+x+UTr0HaPtD5M2Irk2irOteHHvSWxYHtpe33/1Qn4/RCki3e+h8W4n06Ed1Eqy+xxTSbrXu3SRyPrL+Qmi2BRnZyjWneLsjCSXjCg2U6nvmGj20w/Ug40+UGdbqwfsHxPFTquxSFLDvUVRfEUQhMpxXrIGwJOiKIoA3hQEIUcQhFJRFFsTU8LkCwREnOhyob3fjeJsKyrzHZpFMxsMAlbVlGDuhnp0DLhRlDX++ydi9d9kz1VqWMZGgY/XsEzmuPH8fogofoa9fswtduCJG5fK97+hEQ/cXn+yi0ZEFDW1/kgs/aJojzHe6zsHRnBTfRUAYPu7LWjtcycs20Gk5Y22P0zaUBtXdLtG5H8vyrLi9tXzcc9LH2LdBVVwWo2onZ4DURydiA3+noK/71KnFf4A0DHA/jlRvGl1Dw2uw3aLCR6/H/mOjJjrb6RtQKTtZKzj/qmU9acy34Ff3LAEA8N+uEZ8cFhNyLIaOckfBwaDgJXzirGtYRla+9woddpQU5rNtk5j7f1u5NotuGrJdAinP9rt77bEpf4Oe/2oyrfhV185F50DIyjMykD/0AjnJyhtJWq+vDzPgfOqcvBE+Zm5PbNJRHke2x5KT1Op75hoHr8fD1y1ADmODHS7vMhzmNHrGoHXH5j4j9PUVHp2mei5van02ZL+aTUWSfX8kmUAPgn675bTv9NdwJHSDQpA3FMoGgwCqgozI+qwxDMtnVbpIqNtWCZzXKa4JEpfJc4MvNHpwh1Pn6m/d19eg1klWckuGhFRVCbqj2j1IDiaPo/S6zcsr8ZTbzahZ8gTVd8xlkF8tOWNpj9M2lAaV1Tk23Cy140vPf52yPf2xI1LcWpwBCd73bjx1++EfafAmTFTrt2CL59fgYd3HY2pf85JI6LoTfYeqtZmbNvTjE2XzMG0HGtUwUfRtAGRtJOTGfdPpdT+o4HGHtz23AH5c7r3igUIBETeRzUWCIh4+VA756LirNRpDetTbFxRjZJs7etvcXYGGjtd2PjsmX7OXZfXYF4Zs7RQ+knkfLnH48ex9mHc8cKBoLm9BZhf5IfVmuqPvYjCTaW+Y6JJbe23n3o3pK0t0mlGtKn47DJRc3tT8bMlfdNqLJLsLdU0IwhCgyAIewRB2NPZ2Zns4kRFukF9fsur+OIv38Lnt7yKnQfbcPxUaqVQjGdaOi3TRUoNy7KqAlQVZo57k5/McfWS4jKd6w5RrNp6R3DHCwdD6u8dLxxEW+9IxO/BukMUO9Yf7UzUH4mmXxTrMSJ5/ZbdR3Ft3fSo+o5qfeRAQNS0vOlEL3VHaVxxz5pa3Lp9X9j3FhCBPEeG4r+d6HKFfN9XLZkuPxgc+7qJxHq9UfrQS/3RG7U2Y/XCMty6fR/+8dGpqOpjtG3ARO3kZNoUvaT2j6TuHGztk4ONgNHP6bbnDuBga18iizolqM0VHj+V/v2cVOIPIKxP8fCuo4g2EUIk9aej34M7x8xP3PnCQXT0eyZ1DkTJoNVYLJK6s7+1Tw42ko51xwsHsJ9tD6UpLfqOHPMom2ptLfuLsYmk/uh5zpGmJq3uj6kecHQSwIyg/55++ndhRFHcKopinSiKdYWFhQkpnFbUblBN3S7VFIrJIK3+27GhHs80nIcdG+onHbUZCIho7BzEkfaBpJzreGkq4/m3qSSd6w5RrNr6RxTrb1t/5AFHrDtEsWP90U4i+iPRHkPt9WfPyAnrO0p9wTc+PoXGzsGQh8mxDuL10kdToqe6M6c4Cz/7lyXY9u/LsHNjPcxGQfV7G+87Df43QUDM3z0njfRPT/VHT9Tqt1Sfpf+NtD5q3QZM5v2Ct776+ZeWYFvD+Vg5rzjtVr5GUnekbVODub0BtPWlf9ubatTmCpu72V5pqWNA+ZruHIzumo6k/rSp1Z9+1h9KP1q1wxHVHQ3m9ohSiRbP3zjmUdamcm9q12lbOxX7i+PNL0Yqkvqj5zlHmpq0Goukem7JFwCsFwThGQDnAegTRVF326mp3aAcGSZU5NuwemGZvF/4i3tPJjWFopZp6YJTz91UX5WUdJGTSVPJFJdE6as4O0Ox/hbrNI0qEaW+WLdySkR/JNpjqL2+IsptasYbxI/XF2UfLbWpfe9zirPG/d4i/bdYv3u1663bNSL/O7dZI9Ke2j1bFM/8L6B+/x/bfpY6tW0DJtOmTKWtr0qdNsXPqcTJtldrmSpzhZkZqT7Fm14S2Z8sUpmfKMrk/ASln6Is5bpTmBmf7Qg5t0d6k8htoabSduKlKu16cRy2Sk0FDotJ8XztFn32FxO5zVki2zmiRNBqLJLUDEeCIPwWwBsA5giC0CIIwjpBEG4WBOHm0y/ZAaARwDEAvwTwf5JU1LiSBrHBrGYDSrIzcMvyajz+WiMe2X0Mj73aiFuWV6M8156kkmoreBXx9ndbsGF5dcJTjU8mTaVe0qMTTUX5DiPuvrwmpP7efXkN8h3GJJeMiKaiyWzllIj+SLTHiPT1E2WUUesjT/Sgh3201Kb2vRsNUP3exvtOg/9t+7st2LgitjGF0vVWkW/DyV43t1kjiiOl+r1heTVe2ncSG5ZX4w/vtci/H3v/V2o/P2wdwCPXn61ZGzCZNmUqZU6rKc3GvVcsCPmc7r1iAWpKnUkumf5kWY24+bOzQuYKb/7sLGRaOZbVUiL7k6U5GYrzE6W5DJqg9GM0IKw/vnFFNYxxeArFuT2i2EzF7cRrpzlx95rQvurdaxZg4TR99lWLszMU78V6DchM5Lgrke0cUSJoNRZJajijKIpfnODfRQBfS1BxkkYaxI6NvvT5gdueC92H+LbnDmBJee6kIpxTJXo5eBVxa58bT73ZhHUXVGFhWTaqi7MSUi4pTeXcDfXoGHCjKCvyz2MyfwukzvcQqXQrL9F4Tg368eg/jmHdBVUQBEAUgUf/cQwPXL0IZxUlu3RENNWoDYzLGpahtixn3PZ2sv2RSER7jEhfPzajTKnTiquWTMeR9gEAQHmuXbGPPNGDnkR8JhQ7tUxCbf1urKopwfyN9WjvH4HL40NF3pnven5pFp64cSmGPD6U5zkws+DMdxr8fZdkW7Fyfgk6B6P77pXGZPesqUXDU3vC6ubcDfVxX3FKNFUE37Pb+92wW4zw+ANYUObE7c/vR2ufO+rA1T/dUo8dY97vRJcrovuB0rg31jYl1kx96chkMuCKRWWoLspEW58bJU4rakqdMJk48661/mE/7nrxYMh1f9eLB/HEjUuTXDJ9SWR/0uOF4vzEORX8Tin9tPa58ef9rXjgmkUYHvHBnmHCL1/5GGeX56CyQNu2j3N7RLFR60PreZxrsRhxxcJpqCpwyP38hdOcsFj0GaBYnufA/GlZeOiaRXCN+OCwmpBlNaI8T58L8RI57mrtc+PJN5pC2p4n32iKSztHlAhajUX0mT8tzagNYt863qX5TTKRqeUmMjY9cWufG4+/1ogdCe7YTCZNpdrfThSck0rfQyTSrbxEExny+NDUNYxH/34s7PdERImmNjDedbgDJ3vdE7a3iUi5He0xIukj2YNSPJc6rbhhWQW27D4a0tdYOa8YO2IMDE9EGnKKnlr6aSlzyYetA2F9TotJwPqn3w/53cyCMxNlSt/3WUXRffdKY7KpFCxAU1uyF5co1eFAQMSvvrI0qsBVYLSOdg66sbQyH4fbBnDjr9+JeAw73rg3ljZlqm3xaTIZsGhGLhbNSHZJ9G3I41O87jmW1V6i+pMdA27F+YnOQXfU/RmiZCvJtuLS2lJ8+/d75bZ044pqFMeh7ePcHlFspuo412Ixoq4yL9nFSJhBdwDfCroX/+jaxckuUtwkdjtPK3qGPCFtj57HeKR/7f3KY5GOgejGIlxqlCKkQeyyqgJUFWbCYBBi3kZiPKmU0luv211EkpIylb6HSKRbeYkmkufIULy/5totSSoREU1lan0+fwC6am/H9pE2PPOevP3KVUumy8FGwJm+RnPPUFgfmdJXICDieNeg6rZnan3OfS19CemHjh2TxWM8RpRqUnVLBaU5krHGq6OxjGG1Hvfqdc6Dkivbala87rOs5iSViCaL/Q3Sk363Fw/vCh3XPbzrKPrdXs2PxfshUWzY7ujf8VMufPN3oeOab/7uAxw/pY/5xbESuc0Zx3ikNxkmg2KbYI6yAjHgKIXF48altHXFuguqcKR9AI2dg/KkYiAgorFzEG98fCrk91qQ3vut412YU5yFnRvr8UzDedixoV4XGXMimaQcL4o8FaVbeYkm0u/24BsXzw65v37j4tkYHNF+AoSItBfPfkoyKPX5Niyvxh/ea4movU2Xz2NsH6mpaxg/3X0U2xqWobYsO6q+RrqcM4U60eXC+qffl9NPr18+Cw0XVmF+aRYMBkG1zzn263V7A+h2jcT9GpjMeExv16jezofOSIXFJUrXVyTX3Hh1NJYxbCx/M145pcxpOzboa86DkqtnWHks2zvsSXLJ9CdRbV9lvgM/ujb0Xvaja/ngitLTyd5h5Not+NpFs7B++ehPrt2Ck73Dmh+L90PSo0S0PVM1YMLnC2DvJz3YeaAVez/phc8XmPiP0lRTt0txXNPcrc+Ao+BtztYvn4V1F1ThyTea0Nav/fNLjvFIb7TqT3FLtRQ23n7hsaY8D07pPd7WFS8fao/L9llTYWuuSFJSpltq9XQrL9FEsjJMsJkNaLiwCgERMAiAzWxAZgabRaJUp8e+hNTnK2tYhl2HO2AxGiAIwNXnTIdRGE1LryadPg+lPlJT1zCGvX7MLs6KuK+RTudMoaRroLXPHZKq9zNn5aOyIFO1zzn2a63It+FkrxtfevztqK6BaMdQ443HxqO3a1Rv50Ohkr2lgtr1pbSVotI1N780C0/cuBRDHh/K8xyYWeAIyRgdzRg22r+JpG5wi0/SWr7dgk/Nw2Fj2Xxm69VUICBi90ft2NfSh4AIGAWgdroTy+cUa972BQIiTEbgoWsWweXxwWExwWQc/T3bWUo3JdlWfPn8CjnLkZRloiQOc8i8H5LeJHLc5cgwhLQ7jgx956bw+QJ4bu9J3PbcAfmzvfeKBbhiURlMJv2du8NiUhzX2C36fPaR6G3OOMYjPSl0ZCj2pwocGVG9jz7vLjqidOOaTMdDil7e9OwHqltXbGtYprjCce6G+knfQNVWT2rx3qkikknK4O9B+g7vv3ohulwj8r+n0qSCUnmnQtQ76Zc/ANz358Nh9fT/rTsviaUiokjotS9hMAioLctB5+AIjrYPhkzQzinJRnmect8glT4PpWAOqYzt/W7YLSZU5NvQ1HVmdavUR4qmr5FK50yhJgromaifrHYdWEyC/HdWswH3rKlFw1N7wq6B+RvrERChePxYx1CxTCTp7RrV2/lQqGQvLlG7vhourBr3mlOr0zMLRtuNWMaw0f6NWtnLGpahtiwnpcb0pB8ilMeyT9/EsayWmrtdONo+iK2vNIYETcwqzERlgbZt3+H2frT3uXHK5ZGDm/IdFhxu78eCshxNj0UUbyajoLil2rP/viwux1O6H/6W90NKU4kadzV3u/DhpwNhgYEVeQ7N27hUcbC1Tw42AkY/29ueO4DqokwsmpGb5NJprzg7AxtXVId9x8XZ0QUQpIvKfAceuf7ssEDxeD2/jDUhCFEq8gVETZ6VMuAowaK9ESm9fjIdj+BVukfaBxRXMqqtcGzvj2yF43jnmOzVk1pTOtdIJimDv4f2fje8fhG3P78fTV3DKbli2GAQsHJeMbY1LENrnxulThtqSrNTpnxE0eocHFG8F50aHElSiYgoUnrrSwQzGATMzM+UMzoAE/fzIvk8xvZXynPtaO4Z0mRgLL13l2sEn/a6cev2feNmqLj3igX46e6jIX0e6fjjZZIJPgeDICDXbkFr35nUyHq5BtJZJAE9E/WT1a4DANgR9Dul6z7XbsF7zb343h/3w+0NoCLfhnvW1MJsHM10YhAQ8xgq2jGc3u5TejsfChXJ+DWWCdWJglCl30WzlWLwNTfRvEgsGcqi/Ru1su863IGTvW6snFesWXtLJOkcHEGu3YKrlkyHcPpy2v5uC04NcgshLbX3jygGTSwpz9X8YezgiA8ujz8suGlwxKfpcYgSwTXiV7xHuUb8mh+rc9CjeKxO3g8pTU32uVzkx0lcG5cqWvuUP9u2PjcWzUhSoeKoPM+BRTOysfWGc9Dt8iLPYYbJOPp7vfL4xJC+1ObrFsflOInMgkmUCB0Dys9KO6J8VsqAowSKdlWt2usLsyyTmvCVVukCUFzJmO/IUEm3Z5z0OSZi9WSiokvHO9dIJimDv4fPb3lVcaJUCjBL9gRlICDGbZs9omTIsZsV70XZNnMSS0VEkUh2JoZ46xiI7sH+eJ9HICCiudsVFoRxy/LqkDTSsbbpwX2hdRdU4fHXGifMUHHbcwewrWEZhr3+sD6SWiYZny+APx1oDQlm2riiGk++0SQHHenpGkhXkSyKiORhvtp1MPZ3Y6/7a+umy9d5qdOKtXXlchYkq9mA+66sVQxUm2jyNpYxnM8v6uo+pff77lQXScBntHVgbNsz3jZpc1S21Bz71sHXnDTmn6i9jCVDWTR/o1Y3/IHRAMetN9SF3If0Pob2+QI42NoXskhJj1tUJFtRZobidkWFmdxCSEsuj0/xHjPk0T4IyOcXFR/8PvblOs2PRRRvqluqjbNNeKzyHGbFY+U5OLdH6cmuug3WxM/lojHg9iq2cQNur6bHSSWlTpviZ1vi1OeYNhAQ8WnvSNgWcnrdrjWRWZkTmQWTKBGyrcptT1ZGdCFEHPknkNpN70SXK6rXW4wGWM2hX10sE77SSkbpvaQJsABEbFheHfL7Dcur4fUHxnu7iM5R7ZhapbaTJkM/v+VVfPGXb+HGX7+N146dwhsfn0Jj5yACY5dJTsJ45ypNUi6rKpBXV6oZL3I9+Fw+v+VV7DzYpuk5RCraa5co1bm9Pnx31VxsWDEL65fPwsYVs/DdVXMx4tN+xRURaSvefYlECQRENHYOhvVRirKsUfXz1D6P8lw7dh5swx/ePyk/8AWA1QvLwtJIx9qmB/cPBAERZ6gY9voj6iMBo5/T641dcrCR9B4P7zqKa+umh5xzul0DejNeFpxg0fST1ZTn2nHvFQtCrvuzCjPl4yttHf29P+6XrxnJ2MlbpXoZyxjutuf3h42n7r96YdTXqNp9ItH0ct8ldePVy2jqgDQeH9v2SH+zr6Uv7HdGA8Kur29cPBv5dkvI7+67shaV+Q75GHs/6R23vUxE/VGqGxuWV+MP77XA7Q3gcGsf1l1QhfXLZ+Gm+ircv/OQbsfQPl8Az+09ibVb38TNv3kPa7e+gef2noTPN/E8EkVn2OtXDE4Z9nIsq6WKPIfiPSYemQGGPD7k2i342kWj8xPrl89Crt2CIQ+/U0o/A26v4j0qHoEMHl9A8Vgetj2Upjx+P75x8eywfnEkz+WikWMzoyLfFtLuVOTb4NTxQtya0uywOYR7r1iAmlJnkksWH2pbyB1s7UtyyeKjTSWDVXu/W+UvYqeWIay9nztnUHpyZBjxvUtDn5V+79K5yIwy2JUZjhJIbRL+SPsAAISt7lV7/ZDHP2HK80iorWQ80eXCtj3NWHdBFQQBEEVg255mrFpQEvM5Sjf29n438uxmbFxRDZfHD4MAWEzaRdQGT4YqrWzWckVhpFsLTJRxSW1VpN1ixI2/fichUbkT4TYKpDc2swk+MTTN5n98bg5sZm1XjBCR9iLJkJLqe2mrZYtYOa8Yx7sGw/ZZH6+fN15/btOzH+Cm+qqQNlwtMCiWNr3LNSL3F+cUZ6Ei34amrmH53yfKUBGJE10u7GnqVizz2TNy8EzDeRFtk0PaG1vPSp0TZ8HRqm429wzhp7uPhoxXWnuH5eOrXefluXb5NWMXVailxXZYTFHVmfZ+N5q6hvHUm00h5SvLsUZ1rtFmlYmnWLamovQQSZ2MZiyo1vZIf6MUhNrW7w65vmxmIzY88z48PlGuQwYBWFKeA4NBQGPnIDY9+wFy7RZsWF4tBxcGt5exprmP9h4l1Y2yhmXYdbgD/gDw1Juj2fcq8m1wWM3Y/LejIfecbteILsfQag81qosysWhGbpJLpy/9buXMO/1ubr+lpZkFyttNzizQPuDIaTPjxn+qxOa/HpGPtemS2XDaOG1P6edTlYe+rX1uLNR42yK1++EA74eUpgozM2AzG9BwYRUC4mgf2GY2oCAzQ9PjuLw+3PzZWbjrxYNyu3PnZTUY8uq37phMBlxeOw2V+Q609btRkm3FwmlO3WbjnGpbyGWYDIrzURaj9t9vv0qGsH4dZwgjfesd9sJqNoY8K7378hr0RnlNc+SSQGqBJftP9uPr2z4Im0BWe31xthXnzczXZMJXKV14Zb4Dt66aF1NAk1qZvX5R3jZMmmjb/m4LWvvcsJoN2BFDEI3SZGDwZKjSymYtA3Yi2VogkgcF0qrIsa/x+AMpE+TDbRRIb4wGAQ/+5aOQ+8ODf/kIv1m3NMklI6JIjLfdSSo9pFejli1iW8MyrH/6feTaLSEPWeeXZk34wHPs5xHcJ1Jqw6Nt08f2u8pz7fi01y1vo2Y1G3Dn6hr8/JVjaOoaDtk+JzjAI9og+fZ+t+rEQXmeA2cV6e+hbTpQq2ePXH922HZJ0vetZd2Ugnoe/fsx+XelTivuvWIBbnvuAADl67xzcER1UYVaWux/mlUQVZ2R+s2tfW65fFazAVcvKYvqHBOZEjwSsWxNRakt0joZzVhworZHLQg1+PoKBER5PuLRvx87k7nvdFYR6Ritfe6QwL76WQU4tzIPBoOAE6cGo05zH+s9ymAQUFuWg5O97pC/vevyBbj5N++G1OEtu49iW8Oycb+TVA6YHs9Ue6iRTPkOi2L9yndwSzUtJTLY1mgQ5GAjYLTubP7rEc5PUFoqy1Hetqg0R/s5ZLX7YR7vh5Sm/AHgvj8fDrum/2lWoabHcVjMuOvF90LanbtePIjfrDtP0+OkkkBAxN8+6kjpuUItTVO7F+t0C7k+tydsMcqG5dVxCQJy2syKn22OjjOEkb45LCbc8UJom3DHCwfx1FejG4voM3wzRU2UbntsWvLxUtdrsRWBGmlQvWNDPZ5pOA87NtRH3PAqlfn+qxfi9uf3h020XbVkuvzfY7damMjYrdOk7caCtyEZbwW/FiLZWiCS9PNqn3e+I0OTrfO0wG0USG+6XcqR6N0uRqITpbt02AZULVuE9LBOClR4ZPcxbNl1DG0xpACWHhBvf7clZGunF/eeDEsjPVGbrtTvUtrm7K6XDuKHVy3Eb//tTH9m+ZzimPqUwedhNgjYuCJ0e6qNK6oRh4VKFCG1ejYzP1P1+9aybkrXd7CeIQ+ybWY0XFiFzAwjbl89P+w6ry7OxOOvNeKR3cfw+GuNuHXVPPnaV0uL7fUFouoHa9VvjnSLOqJYRVono7mm1doe6W8WTndO+D4TzUcE13+pvXzs1UYUZmXIr4klzf1k7lFKZbYYDYp1WG2LJLU5jmRtpRitUqdNcf6iJFufDzWSyeXxhdWvDcur4fLoNytBssRz7jVYt8vD+QnSDQFQHLsZoH394f2Q9KZjQHkM2Dmo7RhwQCVDy6COM7Skw1yhlrIyTIr34iyrPoNirCajvGvP+uWzsO6CKmzb0wxLHDJYFWZmYNMloVsfbrpktuaZyIgSpWdIuU3oGWKGo5QVvDrmSPsA9p/sl9NtA2cmkKVtMNr73ZhfmoU/3VKPzsHEpq6PdQWr0gqgLtdIyPYawOi5CqdPI5YgGrUOws6N9XK2IOm9J1qJGesqwkhWO0Wafl4t05QWW+dpgdsokN5YzcrZMsZOkhNR+kmHbUDVskVEsiVVpMpz7bj/6oW4dfs+PPVmExourMLs4izMK8lGRZ4dS8pzI27TlfpdatucAcD5ZxWE9a+WVubH1G+ozHdgWo4d399xKCQzzZNvNOHs8hzVTBUUX2r1rHPQLT+Ui/Rvoqmb0nXV5RqRr+/g1WuP7DqKS2tL8ZO/HUWu3RJy3UtboOxQ6c+6PGpb1Hixcl4xtjUsQ2ufG6VOG2pKs1WvZ636zcwwSvEWzVg10ms6eAyr1PY0dQ/hZ/+yBI4ME4qzMlCep/w+481HRDJOVqvPQ+M8gJzsPUqpzNHU4VTLahatHLsJd15WE7Y1R45Dnw81kskgCPIDleCMffesWZDsoulOorKOOSwmxfuF3cIt3yn9tPQO48/7W/HANYsw7PHBbjHhl698jKoCBxZMz9H0WLwfkt4UZ1tRkW/D6oVl8rOzF/ee1HwMaFdpd2wW/T4uToe5Qi219bvx5BtNivNoM3V4vk67GV84t1xedCIFWMUj65AgAFZT6NaHVpNBrrNE6UarZ6X6bUFSlDQJBQBf3/ZB2BdYkm2NOo13tAPgeA+YI51oE0XtV/y29bvlydBu1wiqizJDHkSMPdZkt3aYKDBrMg8KUi3Ih9sokJ44bWbFCXEnU18Spb10eEiv9rC0ptSpSbBxICDiH0c70N43jAdPT/ROy7VhWWW+vD99NG26Ur8rICr374qzrTH1r9T6pwaDgHml2egZ8oRsn5Vq3+lUEPwd2S0mVOTbQhYVTPSdTLZujr2uKvJt+K8vnYP9LX0Y8QXkhRydgx48ceNSiBBRlDW6/V9zzxDeOt4lX1tK135FnkOxfJX5Drx8qD2q61mLfnMqLT4gfYqmTkZ6TauNYQEotgvSNmnRiGScrFaf8+wWvPHxKcV5EK37D0p1eOOKahzvGsTMgvBxfbo/BPm0143fvtUkP2C2WUx47JWPMbPAjor81C9/OnFalR+oZOt0xXqyJHKbZkeGERtXVId9p5kZDDii9DM914bVi6bh27/fK1/Pmy6ZjbJcm+bHyswwKd4PMzP4yIvSU3muHbcsr8Ztzx2Qr+l7r1iA8ly7pscpcWYozouXOPWboSUd5gq1VJxtnVLzaB5fAKVOa0gQUKnTCq8/MPEfR6m1z43fv9uCmy48C8MjPtgzRgNrZ5dkcVEkpaU8u0WxTci1R7dFLXtfCaD0AEVtAtkfQFSr2qIdAI/3egBxCURSOtf7r16Ishwrrl5SpvmK3+DJ0CUBEbVlTtWJyHivIpzsgwIG+RDFiSji5/9zLCTK/+f/cwxb1i5OdsmIaJLS4SH9eA9LYwk2HtvXFAAcbR8Mm3idnmOLafCr1O96ce/JsAwz0uccbf9qov7szILU/071Tuk7uveKBfjp7qNo6hqO6DuZTN0MBETsP9kbcl01dQ3jf//mXTRcWBUyidYz5EFhVgaqCjNVr635pVlo7Qsd86hdZwExuvGZVlJt8QGlh2gWF8WrvVQawzZ2DmpajyYaJ8/IseGeNQtw+/NnHtbcvWYB7vnTQexp6lOcN9H68zAYBMwvzZInvaVVxT1DHuxQOO90fwhSnG3FkY5BbPjt+/Lv0qn86SQvy4yynNAHKmU5VuRnMeBIS8dPKfdn59xSj7OKtG3/TUYDcmymkO80x2aCifsHay5RWaumsgyjEZv/eiSk7mz+6xFcNPsCzY/ltBkU74dOG+sOpafmniE52AgYrT+3PXcAS8pzNR17+vxQnBdfWrlUs2OkmnSYK9TSdKcNd69ZgDvGjIemO7UP/kwFBkHAb948gS9/pkoOAnri9UbcvrpG82OVOq24tLY0JLB244pqbiVNaUsUlJ+VPnL92VG9DwOO4my8ByhKE8hvHe+KalVbtA901F4/55Z6fNQ+oMnKHaXBW/C5FmZaYTRA3kouFpF2ECaaiIz3KsJIHxRwwEuUWG0Do1s9Bj+gBID2AU+SSkREkYikvUzlh/RK5R/b34g22Fipr7n1hnPkYCNgtG/z8K6jWFKeG1PAkVK/69ZV87ByXrFiYLda/+pI+4D8fsHfx0QPdFL5O50qlMYQtz13ANsalmHY64/oO4n2e5TqS1ufG4IAdAwoX1ezi7Pkh/RjxwRqY5+GC6uwZdcxeSHE/1pQCpPJoMn4TEtcfEDRiGVxUaLurbGOu2MZJ/t8Abz7SQ8e+fvRkAmzR/9+FKsXlmFPU5/ivEk8Po/WPje27DoW9nul8073hyCV+Q48cv3Z2NfSh4AIGAWgdrozbcqfTlp7R/Cjvx6Rt1vxB4Af/fUIHrxmEWbksr3QSlO3S/G+1dzt0jzgaNjrh1EQMLsoCy6PDw6LCUMjXgx7/ZoeZ6oLBETs/qg97D61fE4xxxUaOqFSd050u1BdkqXpsbpcftX74VmaHokoMRKV8bJjwK04L94x4Na8jUsVBoOAi+cU4TfrzkNbvxsl2VYsnObU7f3/UHs/HlUYD80pzsSiGbnJLp7mPP4Als8tCQkC2rC8Gp44ZDjyB6A457pyfonmxyJKhE97lduE1t4R1JZF/j4MOIoztUnu/BuXojArI+xBU6Sr2qSJtyPtA7hl+SwYBAEuz+hAdPu7LaqdELVOS3N3aDlz7RYcbuuXtxGIdKJtvEnOqsJMVOY7NElJrNVkYCJWEU70oCCRaZqJaJTdbFTeqzrKfUmJKHGiaS8NBkF+wNXePxrgnOwAlXi190p9zbY+5f7ekMcX0zHG63cp9XGKspT7V/tP9uPr2z4IO+9IHuhoGXjBQO/oqY0hhr1+LKsqiPh9Iv0elerL3ZfX4HuXzsGvXm+SFy5YzQbMK8nGDpUxwdhylzqtuGrJdJTn2fHTL56Nk71DaOwcxDtN3ThvZr5i+dTGC4WZXL1GqUVt7mH+xnp82Kq+uCjWe2s099JYxt0+XwCvN3ZhT1M3AuJoZr1bV82bcHvOPx1oxcedg4oTZhkmA7520SwIp/+82zUScu5aB/mNPe9SpxXX1k3HkMePxs7BkM9MD8G1Hp+Ira80hlxnpL3eIa/i9d075E1SifQpM8OkeN+Kx1ZNNpMRnoCIlo4BORCmMCsDNhO3VNNSc7cLR9sHQ+5TG1dUY1ZhJrdA0ZBVZb7Natb+ej41qLyYsGtwRPNjESVCojJe2i3KbZzdot92x+cL4IX9n4ZtV3fFojKYTPp7HtDerxxA0N6vz/ujxWjAlt2hQUBbdh/FtoZlmh+rY8CNXLsFVy2ZLo8rt7/bgs5B/Qbskb5latQmJDXgSBCEVQAeBmAE8Jgoij8c8+9fAfAggJOnf/WIKIqPJbSQk6Q2Of/qsVN47NXGmNJ4K03Ab1xRje3vtqBnyDNu+ja1TovdYgqZBLthWYV8g47mgdhEGZdi2cJMbSJTi8nAsZ93Rb4N96ypTejDyXhv60ZE4bKsJnzv0rk45fLIE3r5DguyuM87UcqKpr1MxWDeeLX3Sn3NAbdPsb83I9ce83GiCRQ53jWIjSuqQ7Z0+8bFs/Hr108oBrU7VAc22t+Tg6+NXLsF19ZNx+yiLMwrzcbMgvR6sJtIid7qR6m+3PHCQTRcWIUvn18hb0u0+brF8vcmbaEWPG4odZ4pt9IYZ8Pyajz3wUkUnX5tZUH4e5Tn2sPGZxtXVON41yCvGUopanMP7f0jmrc/0baz0WbvkQKHgrft3LC8GvfvPIS5JVmq5T7R5cLmv36Eb62cq3jPmj8tKySzxalBDwIBMW71OPi8c+0WfPn8ipC2cexnls5ZzTivkThZViMq8m1yRg9gNCAvM0O/DwmTIdtqxJ2X1eCuFw/KdfbOy2qQZdX+cx72+THg9oUFwgz7mOFIS+39I5pmgSVleXaz4nxbrl37bR+LsjIU74eFmRmaH4soERKV8VIQRNx1eQ3ufOFMG3fX5TXQ89D2YGsfnnm7CQ9csyhky63qIn1m/Ml3ZCiOh/IdliSWKn5cI36VhZfa96VKndawcR23VKN0ZrMYFftuaRNwJAiCEcCjAC4B0ALgHUEQXhBF8cMxL90miuL6hBcwQhOt6lObnBdF5QmYSFa1KU3kPLxrND3eo38/Nm76NrVOS3H2mQboqiXTw6JBI50omijtY7RpIeP9wDD48+52jeBkrxsNT+2JOAW9FivkE5Uqk4jO8AdEOO1mnHKd2ULNaTfDL4pJLBURjSea9jIVH3pNpr0fr79RnG0Nm2TNMAlhAT8bV1TDZNR29kipXCe6XFj/9PvItVvk1M0GAQicvr8qBbXXTMuSyysFAZXn2WGzGDV/ECxdG7l2S8wB9lNRvCc+x15LapmJypw2fNo3jAeurkW2zYyaUqf8d6VOq2IWl0euPxvrn34f/3JeueKKt3UXVOGelz7EEzcuRXmecjbWmmlZaLiwCgFxNBW5FPC0gw/SKYWozT24PL5JjTfV7vXRtLMGg4CV84qxrWEZWvtG62tNqRMA8HHHIJq6XXBYTCjOzkB53uj7S8FG0vtL9XW8cne5RrC2rhwPvXwYG5ZXh9zjH7pmERo7XWEP9Ju7XXF70Bw839A5MIJ//dXbKdU30VJ7vxuzizJx04VnyQ9xfvnKx5zXiIOsDDP+zz/PCntImG3V/mH+VNbl8uLn/3MsZCuSn//PMdx3Za3mxxrxBvDMO83ysQDgmXeaUVvm1PxYU5laexhrFlhSZjQAGWZjSHt71+U1iEcCEQHAzZ+dFRYYKHA4R2kqvM9sQ01ptuZzFB6fiJ/9I7SN+9k/juFH1y7W9DippN/twZeWVeJYUDbBLy2rxIDbM/Efp6Ehjy9sPLRheTWGvfps8xwqmSnjkbXLH4Biv41bqlG6EkVRse8mRvmsNJmpHJYCOCaKYiMACILwDIA1AMYGHKWsSIJhlCbnNyyvxlNvNgFQnuibaFWb2gMr6ebm9gZU07eNDWgqybbCHwBa+9z45Q11uO35/RAEqE5ISpOLagE2RVnhD71GVxaMRncqPRR7ce9J1dXR8XpgqDRpCgBfejx8AnDOLfX4qD384cXKecV4+VB7yO/vv3ohpuVYke/IiDj4KNErxokI8Iki2vtHQhrRTZfMRomT9Y4oVUXTXqZiMG+s7b1af3PlvGI09wyhyzWCDStm4z//uF/+93vWLMCze1pCJo+efKMJZ5fnhD1UnSh4OhAQ0dztQnv/CFweHyryHJhZMNpvUipXrt0MtzeA1j53SOrm9ctnqQa1/+mWelQXZ2LTxdVwWM2456UPJwwCijboO3g74skG2E8lwZ/z/NIs/OmWenQOarvVz9hrvCLfhh9etRBWs0HOCJJjt4Q8SJhxxQKcV5kf0hffsGKW3K4Do9/p/TsPYcvas/Ff/7IEBkFArt0ib8cmvUYa+wx5fDh+Snns8cSNS7Fl17GwsvNBOqUStcDAijxHzONNtTaoMMsS9UKisWPnR64/GyNeEd/8XWj2sOriTNjNJsX3NxoQUm6fL4CDrX3yAxm72Sjf2596swnrLqiC0QD801kFMAjAt36/N+LMFpG0M5G8RprfScW+iZam5VjxpWUV+Pbpz1jaCrOU4yvNDYz45GAjYPQ6uvOFg/jVV85Ncsn0ZcDtU9yKZNCt/Up5j9+P65dW4Md/OyLXn29cPBtePzMcaakiz6E4J12ep23mkKmuy+UNCWQARgMZ4hGs5/YFQgIDgfgFBhIlglKfOR4Lo04NjMDjO/MgWRBGg5BO6Xg7wqwMCw6cHAhbfKB19qhUYTEZsftwW1hGp3Mq9JfNCRjtSykFWHn9gYn/OErdQ6OLXMYeq2doBED6j+to6nH7Apr03ZIZcFQG4JOg/24BcJ7C664WBOFCAEcAfEMUxU8UXgNBEBoANABAeXm5xkVVFkkwTHCAT1OXC+9/0oun3mySJ7qVJvomkzVJ7T2DSRNelfnhK3gfuHohynJteHHvybABWEm2dcIAK5NReWWBtO14ea4dtyyvDtsrtXzMFh9jHwoFm+yknNqkqfSAbOyxmruVv+dtDcvCfn/r9n1Yd0EVHn8tfLs8NYlKlakmGXWHKNn8fhGb/3okpP5u/usR/Pe/1kX8Hqw7RLGLpf5E016mYjBvrO29Un/z/p2H4PWH9juC//325w+g4cKqkAAJtT7neH27QEDE7o/acbR9MCRb0gNXL8SiGU6V/tH5ip+9QQACUA5q7xx0Y/mcYhRmZmDt1jcnDAIar9zSZzY2qFx6/U31VbCaDeMG2Kfyg99Etj2TzTQaaVBY8DVe6rRibV05vvOHffjuqrkY8o4+aJPGFsDo93TbcwdQXZQZcg0GxNDvVHqvtb98M2RC8ck3Qsdionhmy8FDrf2qK98nuqdEErw32cyoNDl677upZUsGEPN4U23OY1vDsqjaWaX32dfSFxYk+PCuo9i4ohrzS7NDtkO8asl0GA3A+VX58tyBx+PHiwdawwJupcDC4MDX+uoCtPYpB/woZbaQ7n/37zyE1QvLYDQA51bk4fyqfJhOp2iI9h6Zin2TSEVSd/qGvLhjTBDMHS8cxLMNy4D8hBV1SugZ8ihey71D+lyhnyyFmSpbkWRGtxVJJPUnM8MsBxsBo9/nj/92BE9+dWmMpSclFXnKc9IVebFvO03hvP6A4oPYaB/6RlJ3fCrH8sXhATNRImix+D6SulOcnYEb/6lSnhuXFuIWZ+l3O8LBEZ/itpp6zSZYnJ2Ba+vKQxYD3HV5DYqz9fkd5zsysG1Pc8jCy217mrFqQXRZhyKpPxaDQTF79rZ/Wza5kyBKEq36U3FIZqmpFwFUiqK4EMBfATyh9kJRFLeKolgnimJdYWFhQgo33gq1YFKAz2dnF2FuSTZ6Tk8CKE30SZNWn9/yKr74y7fw+S2vYufBNgQCIgIBEY2dg+hyjeD+q0dX/Urvs3FFNf7wXktUk4dKK3i/vX0fsq1m3LK8Go+/1ohHdh/DY6824pbl1fD5RcUOz4kul/yebX0jYQ8E7nrxINr6RqOjm3uG5IGd9O+3PXcAzT1D8vm98fEp/H/HTuHGX7+NA5/2y+cpkSblgl/f2DmIQCA8vVfwa06cGsTHHYP4x5EOfNTWj1y7JeQ87BaT4rHsFuXVlWoTltIDrLGfjRppYnjHhno803AedmyoT+h2HsmoO0TJNjCinEo7mtWKrDtEsYul/kTTXkrBPcF9pWiCeSPpY0RrbPl3bqzHnOIsvHW8a9xjKPU3Vy8sk7eayTAZFO9nc0qyJjx/tcmsPU3daOwcxPFTLuxr6QublPn29n1oPDUk96WA0eCOdRdUob1/GL+8oQ4V+baQY191dhnqqwtU+3UGg4Ahj/Ke62P71mrlbu52Kfajg4PHt7/bgg3Lq2EUoFqWVJbItkftc46kfxvJmEaqX12uEfkYUuappq5hDJyeEMyzK2dSGdsXt5kNId+pUharh3cdxbV10wFAHkC/tO8kNl+3GCajgKMdA4rXRXne+PeU8c43kn+nxNBb302prZLmHpZVFaCqMBMGgzCp8abanMeQxx9VO6v0PmODBKX3LszKwIet/bhnzQJ8Z9Uc3HzhaGDtll3HcOOv38HLh9rh8wXw+vEuOdhI+tvbnz8g13GJ1WyAxWDAxx2DqvV7rBNdLty/8xDW1pXLx/63p/bgTwda5Xo70T0yEBDxcccgdh9ux1uNXRAAPHL92TH3TZIpkrqjNj8izQWRdoqyMhSv5YJMfT5ASpbBES9+eFUtNqyYhfXLZ2Hjiln44VW1cHm8Ub1PJPWnVzWILLpj0fjGm5Mm7VhNRsUHsRmm6La1iaTu2CwmxWPZzMlcY08Uu0ifN44nkrrj8QcUF+J6dBysN6jyLMA1os8txvrdXsWMmP1uffYtKvMduHtNDeaVZGFGjg3zSrNw95qaqMdakdSfbpV+Ww+D/ylNadWfSmbv6ySAGUH/Pf3072SiKHYF/edjAB5IQLkiFu0KNbUVh8ETfWqTVmO39arIt2HrDXUwGwUUZVlhNABnl+dEtb1BU7dL8cZ4osulOAD7ydrFE64En2g/bLVOU7drBIfbQrct27C8GjsPtIalwtt83WKU59onXE0YvOJQ2o4heHW+tLWdNDHm9fsVV34WZyuvaip12sbNNDX2sxlPICBiwO1F75AXNrNJniwmoviwm42K9ddmSfU4XKKpbaJtZ4NfN1GfS81ks7pEUv7yXDv+dKBVDhoau01acAYUpf6m0XDmIe3MAuWtcoqzrNi5sR5t/ernr9Yva+4awn/8fi/+Y+Vc1QfC7zf34Nq66diy6xhKnVbcsKwipL92/9ULUZZjRV7QNrNS0IZalo1I+9Zq5W7vH1HdDkv6XWufG0+92YQvn1+Be69YELLCOV0e/CZKrNv/BAIi9p/sVfwu5m+sx4etoX3+719Zi4p8G5q6hkMyT7l9Abi9AdgzTIrXhdVslP+u1GlFpsWEjSuq5f5+cD0JLn+Z04ZNl8xGVYEDOXYTVi1Yisp8B9463oVn97SEjT3uu7IWMwtGtxJUu6dMtBJVi5WqzJBEwaJtqyJtP8dS2xK9ONuK82bmR9zOKrZlpwM/x9btHLsl5N68cUW1nLVIqjvbGpbhveYexTo+qzBTfl/pc+ke8ijW73uvqJW3CQ3W3u/GtefMCJt0u3X7PtSWOSfcIk0pm7S0XdxEbXO6sluUx1dWjq80N+Lz487VNbjrpaDM4qtruP2WxrKsZhw/NRSy9cp3Vs1FeRyy4WRZlfs6mRnRBWjQ+PS+tWWq6B32Kn7O/cPaP+Q+NTiieKwuF4NdKT0lKiNmz5ByPe3RcaBrjt2s+Nlm28xJLFX8tPaqLAboHcHC6Sp/lMZ8vgDa+z244/kz48i71yyAzxeAxaJtf8qhMkdltzDYldKTVv2pZI783wFQLQjCTEEQLAC+AOCF4BcIglAa9J+XAziUwPJNKJbV80orDoOpPvgZs61XU9cwGp7ag+JsK84qykRlgfp7qnGoZPSxmo2KZfD6xQlXglfkORRfMyPXjsbOQQx7/di4YhZKndaQfw8EEDYJv2X3UdTPLsJTbzZh3QVV+MWXlsirMZt7hiZccR08sX/Vkulhq/O37D6Kq5acWeGc58hQXPmptqK5pjQ77Pcblo9mmlL6bNT4fAE8t/ck1m59Ezf/5j2s3foGntt7Ej6ffiPKiZLNkTH6UHJspjgHO4ZEujFRn0vNZLK6RCIQEPF6Y5ccbBR8jNcbu8IyoJTn2sP6G+dW5Mn/fbJ3CBuWV4f1R95r6saHrQNYWpmvev7SZFYwq9mA5p4hrF5YhqMdA6qZgPwByA91gzPJSJmOPu4chNloDHmYOlGWjUj71mrlHi/wPfj1rX1uPLzrKOoqcpOWYTIdqH3O4/VvpSCIXYc7Ig4K+88/7setq+aFfO/BxzvZO6TYZh9p65f/7qol0/GDnYfx5Buj44b1y2dhdnGWyvU9jJ/94xgMBgGfOatQrh/F2Vb0DHnkscf65bPQcGEVzp6RgxNdLrx1fHQtjFKdmmgl6th/l+rJkfaBiLKoMUMSjRVNWzWZrH3Sluhjsx+X59qjameV7u/5Dgu+cfHskN/ds2YB7nkpdCXuw7vOjNul37X2uREQldunynx72L0922rGtXXTYTAAD16zCJsumY2GC6swM9+uWO5SpxUlTuu49booS/0eqfT9PLzrKPa19CEgIuq+STrIdVgU79V59ui2n6KJmQxG/PyVY3Jbte6CKvz8lWMwGhicoiVRBH71+nH5c76pvgq/ev24vMhQSxlGo2L9sUaZEYbGF0vflqInLdwNZjUbUBiHrZoKMpWPle9gxjdKT5PN1h2prAzl54KZGfqdF7eZjNh0SejYY9Mls2Ez67OtVdvNxabTYOZ9n/bJwUbA6e2dnz+AfZ/2aX6sEZ9fcR7Ww+B/SlNa9aeS1oKIougTBGE9gL8AMAL4b1EUDwqCcDeAPaIovgBggyAIlwPwAegG8JVklVfJZFbPq1GLYlbb1msyqzCKszNCVgGfWT2oHO3b0jMUsiKwIt+Ge9bUor3fDTEgYtjnR8eAGz+4ciG++8czK/Z/dO1inOh2Yf3T74cc58k3mtAz5MGdl9XgveZexfMThNGHQo+/1ogdQSuAI1mV0t7vRq7dgquWTEd5rg031Vdh+7staO1zh7x/cMdNbeWn2vcs/b693w2vX8Ttz+9Ha587qs7gwdY+xYxS1UWZWDQjN8pvlYgi0TPsgd1sRMOFVQiIgEEYzXrU62bqS6KpTq2P0dTl0iQTwYkuF/Y0dSseI/j30sNj6WFpcD+kPNeO+69eiFu378PgiB8v7j0Ztk/56oVl2DxBBpXKfAfuu7IW3zu9JU1wBsirz5mOZ/e04Lb/NS+sv/iNi2fj6bebsOjS+fjZ9UvgC4hYd0EVMkwGVBdl4oc7D6GpaxhbX2kMy7ih1NcKztwyvzQLf7qlHp2D6n1raRJubGYPKfB9bB9WLbNSed6Zvh+FU/ucx+vfSg/Zb6qvUvwu1ILCjnUMYt0FVcjMMOL21fNxz0sfYvu7Ldi4ohq/fbsZX/3MTLnNdliMqC7OxIefDkAURfmBthSE8OjfjwEYDRiQ3ksq/z1rFiDXYcafbqnHzILQa6s8146tN9RhT1M3AuJoFpdbV83Dx6cGQ8YxSllkJlqJGvzvShnBJsqipkWGJNKXSLM0TDZrn9r2M0vKc6O69sbOnQgQ8PVtHwBASPuV6zCjqWs47LyEoKJazaPZhn/w50NhGYu+f2Ut5pc6YTIZ5PIFAiJO9g6HZCnZuKIaZbl2DI54sfeTXnj8fuQ7MlCea0dzzxBOnHKFZFELPra0vfvxrsGw9lG6R751vEvx+7FbjOgcGNFlprLZhVloPOUKGV+V5dowuygr2UXTnS7XCJq6huX2Lvj3pJ3eYQ+uX1qBH//tSEgfuC8Ocwat/W45aFq6Hz75RlNcsilNZbH0bSl6uTYz7rq8Rt7Kx2o24K7La5Bn1z6LSL/bG9YX2LC8GgMj+s3SQvpnMQkh/SmLSfu+YpbNpPhcMMuq34CjrqER5FhNeOiaRXB5fHBYTBga8aJnSJ/9J6fNhDsvq8FdLwZlxLysBk6dfsdtqpnQI9+OMFLTnHY8/LcjeOCaRRj2+GC3mPDE6434XE2J5sciSoSBEeX+1GCUW0kn9e4iiuIOADvG/O6OoP//XQDfTXS5ohFtavKJUuGrDX7UtvWSJruk9yx1WuEPAB0Doe+vdNzyPAeqizNDOjDVxZmYW5wdVoYNy0cDhAozLXjgmkWwGAQMjPjQ8NSesCAii0nAo9cvwdGOQQx5fMhzmHHjr98JW9334DWLcLhtAD//n2P41sq5iucnisqR3JGklyx1WsfdRs1qNqB+VgGuOrss4om+sSuZgr//QEDEr76yNOrgMyk1fDC3N4C2PjcWzVD5IyKaFKfVjP/adwxf/kwVhkd8sGeMdgy/s2pesotGREkSCIho7nbBaBAU+xjvf9KLYW9g0llw2vvPZGUYewz/mOSGwQ+PpX6QNFi+dH4JirIysL+lFw0XnhUSVCH1dyIJTp/mtMp9QVEEnnpzNCDcYTHi2rrpsFuM+KezCrB4hhOfdA+jY2AET7/dhJs/Owvf//OH8PhE3LJ8Fh5/rVGxv3X/zkMoysqA1x9AcbZVfpgr9UnLc+14+VB7VA/D1YL+ASj2oyfaDouURbK4YuwYo8s1moZ3+7vhWxeNFxQ2s8CB+3YcQmufGxX5NmxrWIZulwdH2wdw7TkzkOMwIz8zA+39blgtxpAAoA3Lq9Ez5Al7354hD/qHvSEP73pcI/ikZwgenxiyjVIgIIZdh/dfvRA107LwuZ+8Kr9vrt2Cw239p7OoOOTPQ20MV346y2t7vxu/vKEOtz2/H6sXlmHL7qPywghBAD5q68f80ixUFijX1XTcAoRbwMVXpNstTDZYbbLXntJ1UFWYicbOQfQMeeD2BuSgCavZgG0N5yuel3TpSHVrXnEWbllejZ/uPop1F1Sd3mI+F+dX5MFkCl2Zd6LLhR/99SP5XgAAz7zTjO+umod3mnrx4t6TWFtXjt2H2/CFpRUh27nduboGP3/lGJq6hmE1j26xWJnvwIkuF+556UOs+6eZ+MUN56DX5YXFZMD8aVlyxrSx51GRb0OW1Yx//dXbiu1duteZlr5hPPn68dHxlccHm8WEJ19vxIJpzpS9T6WrgswMxa0OCzKZ0UNLWRlmOdgIGL33/fhvR/DkjUs1P1ZRVkbIA2Xh9APmojhkhJnqEvEgf6o75fJCgBj6UN/jRZfLi8pCbY+VYzNj9+G20Ye+QXN7S2dybo/S04muM4v2JVazIWQhvhZEEagqdITUU7NJCAny15uiLCuOdbhwx4tn5s42XTIb88ucyS5aXAx6fNj+bnNYUEzlyjnJLlpclI6zFbjWZuTY8IWlFfj27/fK19K9VyzAjByb5sciSoTsDOX+1LmV0fWn9BnOmKIiWV0Y7QOU8ly7/J65dktYgM3m6xZj5bxi1Qc5y+cUo6ogM+xY0gCsLMeGk73DeOrNJgDAqgWl+Pbv92LdBVXygyXgTBDRuguq8Ojfj+FrT7+Hn12/BO990ot3m3oUJyk/ah+QJxel7UCCH0rcf/VClOVYcfWS8ICgSFal+ANQ3EZNKvvm6xbj3Mq8CSfxIl0VGm3wmaTUaVOcVC1xMqUvUbyYDQKurSsP6RjedXkNzEYdj6yISFUgIGL3R+042j6IZ95pVozqlwJxJptRpDjbihf3ngw7xg+urMVPdh0JeW1wcLlSX6Qwy4L7/vwRSp1WPHjNIhztGIA/gJDg6vG2CDjR5cKtf9iHtXXlYzJELEDXoCckG8Tm6xZj6cw8HG4bwDdXzsWPXj6Mpq5hfO2iWbj7dLATENrf+sN7LVhbV44vPf5WyCD8p7uPyg9vt95Qp/gwPP/GpSjMylB94BptVkoAMfXTprrx+rdK1+X9Vy+UM4JIW5MZDcCKuUWoLcsBED6m2bC8Gg+9fBg3LKvAtj3NuHXVPNSW5eAfRzpw358/AgA5K5Db58eDL38Udr09/IWz8R+fm4MH//JR2GIIKbupdB3f89KHYXX5+KnwoIxbt+/DEzculX83UWYipUxkSkFMNrMBuXZL2HtVnF4QMt72hxMFl6SKyWbVoYlJ4+H7dx7C6oVlMBqAcyvyUJ4bmg1jsgFDk7n2xrsO1MbzNaXZcga/4IwiAkT86it1qDgd6Heiy4Wf7j4qTyj7A8D/feEAfvWVpaiyhp5Xl2skrJ3bsLwaJ3uH8dirjdiwvBrb9jTjmyvnymMD6XO666WDeOCaRTjSPgCDACwpz4HBIKDLNYKvfmYmXB4//v2pd+X3ve/KWszIdSie33dWzcM3VIK/KvMdaV9n2vvd2NPUhz1N74f8PpUDI9NVZoYR/+efZ4VlD8nU6RYZydI77FW8f/YOa585xWYx4ubPzgrLQmCz8DvV0vFTyg/y/3RLPc4q4n1KK/5AAF0uL+544cOQfnlFfmDiP46S3WxUnNuz63SLJNK/RC00EQD0DnnD+hKlcQjOSBUZRiM2/zU0kHjzX4/gotkXJLlk8eH2+rF8bknI/XHD8uqw60svakqy8bV/rsYdL5xZPHL35QuwoCRb82Md7uhXzAI8uzgTC6dzxxpKPxaj8rNSS5TPShlwpKGJMg1FurowmgcoJ7pcuH/nIay7oApzS7LwH2MmyDY9+wG2NSwb97jBGXpOdLlwosuF/S19+N2eFgDADcsq0DPkwboLquRJOkGAYudHih51ewN475PR1YL3rqnFhhWzEBAhb2kmZS8qdVpxbd105NosOOUawaaLq1FdnCVPJI630i/48yjMtMJoAN463iW/pmNAuYO2sCwbO05P6kUyeRfvLQxqSrNx7xULQlZS3nvFAtSU6jO6migVDHkD8qAKGK3Xd75wEL/6yrlJLhkRJcOJLhf2tfTh+Q9OYvXCMhgMwIPXLEJTlwvl+Q784HTmFWDyD84q8x24ddU8uf9mNAB1FXlYWp6L/MyMsO2cxutDbmtYBqt5NJNDU5cLM3LtaOkZAqCcIXKs9n53SGCIlAWmJNuK//zjgbDjbb3hHBRmZuBQa5+8xcx4fcKrlkyX+47S72977gDWXzQLD708OtGjtr3cq8dO4bFXw7dkm0isAeCJku4ZLIIpXZe3bt+HrTfUoeGpPfK2yJuvW4zashz5PFfVlKCsYRl2He4ICZDbtqcZP7p2Mbz+AE50ueC0ntnmubXPjafebMLXLw6fIHN7A/iobQBOqwlbvnA2RnwBuL1+5NjM8qp1q9mA21fPx8//cUyuy92nt55p73dDhIhcu0X+N+l9+91euQxK17MUHFecnRHR2O/W7fuwreF8XFsX/l7f++N+LJqeA0FA2PUR7RYgPl8AB1v70NrnRqnThprS7LCsL/HELeDiz2AQsHJeMbz+QEhwzth75mSD1WLZfka6z3UOjIx7HayqKcGcW+rR3O1CttUMs1HAO03dWFCajV995Vy80dgFfwB4+u0m3LpqHj47u0g+L6n9GrulVHC9luqQACGsvm3ZfRS/uOEcuL0BOdgoEBDh9o5ueyhlHwOAT3uH5PaoPO/0Ai2jAV1DZwJzpff93h/346xCB2rLckLOz24xYUhlS8mOgdH7TrrXmWKVVcWpGhiZzvqGfRzLJoDdYkRdhTMsK7I9DkFAvUNeOdgIOB3w+OJBPPblOs2PNZU1dbsU78PN3S4GHGnI4xfxzDvNYZkFF8Qhi0ifm/dD0pdELTRxefz42T+OhdTTn/3jGH541UJNj5NKTnS7QrIMA6PPKk90u1Bdor8tgO1mE7btCb0Xb9vTrNvv+NMBtxxsBIy2B3e8cAB1lblhC1Imfaxet+K11No7goXTNT0UUUJo9ayUAUcaCV69p5ZpKNdunlSEstIDlODVejfVVym+v9qWXcHHVVp9+I2LZ+PXr5+QH0LNK8kK6+yM/e/gIKKzChxouPAs/FvQtmsblldj9+E2rLvgLHzaO4wNK6pDVvDce8UC1M8qlCfEJ1odK20xovSaOcVZimWsLs6KatIu3pHlJpMBVywqQ3VRJtr63ChxWlFT6kzoQwGiqaZ32KNYr/visFqRiLQTr2CN9n437BajYgaET3uHQjKkTHaiRw6aLsmaMBPKynnFMBgE1b7IkMePR64/G0fbB0P6nd+/sha5dhMKMkezI6l9RtJkVmufO2RLm3MqchSP9/aJHjz2aiPuXrMAdRVO7Gnqk/8m+PUV+TbMLs7CsMeHm+qr5IBz6X1Ksq0odVrR2qe+vZwoqj9wTdegHb1lfVG7Ls1GATvG2YbNYBAw5PFjy64zgQKlTmtYNqwfXrUQ37t0Lu7782G4vQFYTAKm5dgUFzJUFjjwo5cPh20vePvq+XC5vZiWY8fWVz5G/ewiXDinCJkWI04NevClx89sbfS9S+ei3+2D2zd6Ti/uPYkcm1kOtlALrnvreDfMRiFs7FeYZVF8vdfvx+yiLMV/O9TWj2/9bq/i9THR9nYSny+A5/aeDFvMcMWiMsXxRTzqUzpuAZeOmnuG5GAjQPmeGUvAkES6NgqzLNjWsAxDHv+E10jwfU5tfiL4OviofQD37zwU1v5uvm4xrjq7DKcGR7ByfhGGPH6c6HLJx1bbsuxkrzukXm++bjHMBkGxHJ0DI1hYlo2b/3kWDrf1o7ooC3UVTly2sAxdQx4ERMAoADNy7di5sT4kA9mQx4+AqHxP2HW4Ayd73VhVU4KzijLlh9iNnYOqD5D0UGfKc+341so5ONoxKH9231o5JyzrFk1el0t5LNvl8iSpRPqUmWHEdWNW+t4dp0xSagGJQx6/5seayhwWk2JgpN3CxyNaCgQCiuPqQED7rBqc2yO9Kc+1Ky5M17o/NTjiw9c+exbsGWa4RnxwWE0ozzkLgyM+TY+TSrKtprBnthtXVCPbqs82YMjrU7wXu736/I7bVJ6Bt/drP57KtZsVr6Ucuz6vJdI/rfpTjGjQSPAqzquWTA/bymvTsx/AbjHJq9Alk31wZTEaQlbrKb1/qdM64XGVthH48d+O4F/OK5dXJ8/Is8vvs/3dFmxYXi3/t3RTffVIB758fgW2vtKIIx0ubH3lY6y7oArrl8/CTfVV2H24Df9yXiW+8ewHGPb6w1bw3PbcATR1Dyl+rsGf5Yku14SvMRpGt2wILmOkk6vBpMnM8T6/yTKZDFg0IxefW1CKRTNyGWxEFGf5jgzFep3nsCSpREQ0Eekh5ue3vIov/vItfH7Lq9h5sA2BgDjp9y7OtmJ6jl0xA8L0nNGJnVj7EUqkoOllVQWoKsxEc8+QYiaU5tPZitT6IsXZVszMzwzrd/7nH/fj3aY+XPeLN/Dc3pPw+ZQnd6UH0WP7ShV5DsXjSUFAdzx/AJsumQur2YDt77Zg44ozfcKKfBvWX1SNb/9+L27dvh+PvdqIG5ZVoPT0VrFWswHNPUO4asnosp8X957E/VcvDCnDhuXV+MN7LfL5SNkfAOXr4MV9n6qeYyqJpF+bTsa7LoOv7/G2CJMoZQ/6zh/2odRpQ8OFVfjOpXNGFzI8uQdbdh2Tr6uKfBs2LK9GW+8QVi8sk4ONpPe456UPMbfUiSybEZfWluLx1xrxyO5j+Mmuozh+anSFIwDk2i1wefx45O/H8Mju0fe/+bOzUJSdgVU1JdixoR711QWK51tZ4FAc+1mMBsXXF2RmhIyrgv/tSPuA6vUx9r6hFvBxsLVPMb33wda+sNfG676aiPETjR/YJZGC1XZsqMczDedhx4b6iIIcg6+Na3/+JtZufRM9Q94JA9LG3ufGuw6k165eWKaYPWw0a5gHa7e+iS/+8i3c+Ou38dqxU3jj41MQReCR688OaTvuWVOrGICV57AolsNhMWHt0nJsevYDbNl1DP/x+73418/MxIg/gK2vjN4rfvFKI5pPz08En3dxthVGQfn8/AEo3tvV2tzKfIcu6kxL7xBaeoZDPruWnmG09A5N/McUleIs5bFsUVZGkkqkT16/iDvGrPS944WD8PonP/YYS+0+lWs3a36sqSzbNrp1ndQflPp72TZuv6UlR4ZZcVztyND+eubcHulNc88Qnnm7CQ9cswj3X1WLB69ZhGfebpLnhrRSkm2FHwK+9fu9uPUP+/Gt3+2FHwJKdLylmkEQwsbtD+86CoOQfou/IpGZwHtxKrCaledfLHF4zjrVriXSP636Uwy5myRp1d+R9gF5Bbfa6lev36+6ulBtZana76U0+Z/0DMvHkoKAgqNWf3TtYtSUOic87kft/Yor0AszM+TX15Rm40fXLsY3f/eBvO3B1hvqYDYKKMzMgNvnx4IyJ/7tydGMRlnW8EwBt6+ej5/sOiK/t9LnFJzKNpKVfmqvaet3R7wSeDyTWRVKRKmpd9iL//z8PHQOjsgrcAsyM7gKiiiFxXOLnsp8Bw619iv2JxwZRjzTcF7M/YhITNTfKc+1Y+sNdYrbrb11vEvxb6X+6G3PHUB1USYWzQjfR1x6ED1vQz0+7RvGgNuHaTk2zMixhfV9NiyvxlNvNsnv3+/24k9BW+E827AMLo9/NFPU1jfh9p7Zlsbt8+N7n5+Hh14+jLV15XjqzSZcfc700wHrs1GcbcG2f1uG7iEP3v+kV95iCwh/4Kq2TVWu3YILZhWkdKYgPWSwCDaZPvLYvzUalMdPh9oGYDMbUVPqxDtN3SHjlS27j+Kpry6F2ShAEAzYdbhd8T3MRgFFWQ78+1PvhU0IrbugCo/+/ZjigpG7XjyIJ7+6FKI4Wl6l85WyoAVf79Ick8cfCHv9I9efjX0tffjRXz8KG7fdd2UtHvzLR2Hlj/b6UMtu29bnxqIZoa+N132V46fEiHTLhVi2mlS7NspOZzoqdVohikDHwAhcHh8q8hyYWeAIuc8pzU/cf/VCeYW29Fq1+ZPm7jNlkLKgNQRlT9583WLs3FiPtn73uFmCAhDDVorfeVkN2vqGcf9fPgo5x6Mdg2HbpD286yiWlOeisuDM51eZ70DtdCc2rqgOWdkqtZVubwBNQRmZpO9hVU0J5m+sR3v/mc9Ner90rzPt/SOKW+iM/exo8lweH+68rCYkW/idl9Vg2KPPFevJ0jEworhdRsfAiObHGhhRnp9w8TvV1IA7fOHrXS8exFNfXZrkkulLt2tEsT3ujkMWtt5hL75x8Wz8+G9H5PvhNy6ezbk9SltdrhFctrAMxzoG5PbgsoVl6HaNaDpn4PL4FO+Hv75Rv9sRdg4q35tODWrfrqeCAbdXsR8z4Nbn/dHjD+B7l87FKdeZTLX5Dgu8fu0XJ3YOKvcRO3V6LZH+adWfYsDRJChti7BheTUMBuWtIfIcGVhSnhcWAANAcXuFlfOKw7bX2HzdYlw8pwgv7P8Utz13ADfVV8nHau1z46k3m9BwYRXKnDac7BtGQBwtw8p5xdjWsAytfW6Unt6yS+m40gSZtD3BtFwbdmyol8uZYRbQcGEVAiJgEACP348LZhXLk2gvH2yVz7ssx47/OJ16GDizylia2LdnTJzKNpJJ1PFeE8vk6lhjtzAozLTCaADeOt6V0G080nX7EKJUVJhpQY/LIz9QsJoNuOvyGhRkchUUUaqKNVgjkvbTYBAwtyRbsT9ht5hQmJUR8ndat8lFWaF9GWl72qERP06cGsSHrQMh/bUfXFmLUmcGTnS5wv5WKrconvmMlAINgj+fd5t7wlJ2L52ZiydvXIr2gREc7RgICwIqzbZCEACr2Yhch0X+DN74+JT8cPiGZRVhgefb3m5Gz5AHSytzUVO6GD/ceQhNXcNyoPzC6U5sfaVRPs7YB65q18Gepm5Mz7WldOBOpMEB6SKabb6A8Hqzcl6xvPWazWwKecgPjH42ZqMAgyCEbdEsXY+vHjuFswozUZ5nw7mVeaqfb8eA8nUjjUHUAh5eO3YKRVkZqCwYhlEQML80Sw60k4Ljrj5nOirybWELLaqLMvG/FpTK51iYaUVr/zDWP/0+3N6AvG210QCsmFsEp82MnqHQBzEV+TbYzEa88fGpiO81pU6b4ucQvFpVadFM8KKTyQbBRXttUGziGaTS5RoJCRyRrpFdhzvwuz0t+N+frYLL4w/bSnB+aZbi/MTckix82juMzX/9CGajAfNLs2AQhJBsP0rtr/Q7pSxom579ADs21GNpZT5OdLnk9xv7PvmODJw9PRfVRZk42TsMAQI6B9wh7y8Zu02aFEh4anAEH3cMYmbB6HVsMAhYPqcYswozcU5FLl47dgr+AELmUt7/pBfD3gBWzitGc88Q2vtH52LGtunS1onpXmc8Pj+uX1oRNknp8XFLKK1ZzUZsf7cZD1yzCMMeH2wWE558vRHfXDk32UXTlZJsq+J2GfHI/pCVYYbFFD4/kZnBaXstDY4ob12n5y2EkqE4W7kvGo8sbLl2M9rMhpBnFTazATnMDkZpymYyYsjrD2kPNq6oRoZJ20xspwZVtmcd1O/2rAWnEyuEjRUy9ZkhMt9hUezH5Os0A9yI149hbyCk7nzj4tkY8Wo/FinPsyt+tjO4lTSlKa36Uxy5TILSqr8tu49i/UWzwla6SRN/SgEwjZ2DiqsHtzUsU/z9b9adJz8UGrtqsGfIA6vJiJ/sOipPdFXk2dHS65bfqyLfhnvW1CLDZFAs/7oLqvD4a42nb5I2eTVaY+egPEEOQN4awyAI8qrf4EHFyaDsS8ErfueWZKHUaUXP0Ahu/uyssFVZJc4zjXwkk6iJ2NtW+t4q8x2KwWGRpKWfDKXgtkQcl0ivfH4Rd45Jj37nC1zZRpTKYgnWiKb9nFkQ3ufYuKIaX9/2ASwmAfesqYXZKIz7sDDWNtlogNx3zLWHTgpsWDErLNvCd/+4X+6vPXL92eNmI7KaDShxhgcaSEEfA8Nexe2XHrpmEb6/4xC+cfEslDptciDE6LY1C9Dr9mDtL98M+wykACilh8P3vPQhGi6swrr6Khxu7cfmv4X++zd/9wH+dEu9HKARHJzf2DmI9v7RB8QV+TY0dQ2HXAejW+9EFiSRrCBuPWSwGCvS4P7x6mJVYSYCARGbr1uM+3cewuqFZTAagHkl2TjZO4SHXj6iOl7xB4Bbt+/DuguqUJxlCRuDbVxRDYMQHtQHjF430tcubY009t8tRgMG3D7c9ERoVpWV84oxfHrstf3dFtyxej6+oZB5qyTbisKsDDkg4u3j3fJrWvvcePTvxwAAnzkrH7VlOSHXR0W+Dbcsr5YzhkV6r6kpzVbM5tLr9sDnC6CldwjvNffie3/cr7roRIsgOC0WftD44hXYFQiI+LR3dFv14Gtk9+E2zCrKwtdXVMORYcJ9fw5dXLTp2dF7+A+urMV3T19f0vzE/TsP45sr56Kpaxibnv0ADRdW4Xd7RrfkfOad5rBMSJuvWwxHhlGul2pBge39bhxuG8D9Ow/hC+eW4/bV8+WtFcfOwyyakYvashzsPNiG+/58OGTxliT4XqAUOPujaxejZloWWvvOtB/Tc+xy4OvV50zHi3tPytn8LCYBXn9A3upNqU0PziqWznXGZjHJwUbA6Ln9+G9H8Jt15yW5ZPqTlWHClz8zMyT7wZc/MxPZVk7xaskbCChulxGP7A8BEYrzE09yfkJT0rbRY/t75Xnp2xdPRRlm4K7La+RrWgqgs1q0H28ZBQH3/flw2Hf69E1seyg99Q57Fdue2jKnpseZ5lQeH+t5SzWf348fXFWL46dccv+pssABn1+fwfG+ABSvpXMr9Xl/dGSojUW070sFRFHxs/2nWfmaH4soEQRAsT8Vbf3haHQS1FZYVxdlYk5JFlbOL0Hn4MQTf+39bsUUbGPT4UtBO8G/l1YNrrtgdNXg4bbQFeijKwtHFFOR/59/nqVY/pkFdjRcWIXq4syQQVfw+SpNvm2+bjGWVxfi7jULcMfzB1CWOxp8lGu3hL1244pqeHwB3LfjcMiN+a4XD+JPt9TLx4xkErW5Zwg/Pf3gQRAAUQR+uns07Xm0k3UTPYCK53Yu40nWcYn0qmNAOY1qPNKjE5E2YgnWiKb9DO5zNHWNZi958o3RoJ3gbVzUHhbm37g0LBNSpFr73Pjz/lY8cM0iZFqM+D9Pn9n6aWy2BemY0sPX9U+/j50b6/HEjUvx1vFuzCrKxP07D8mBA/esWSBntlQK+njwmkVh759rt8BuMeLqc6ajc9CD4iwLfn3jueh2eVDmtCHHYcbnfvJq2Gcwf2M9jncNYuOKagx7/Yrlril1Ii/TjKMdg4r/3jnoxrKqAvn7USrzPWsW4JG/H5UzI21YXo1te5px9ZKyCT/rZAZxT+WsLxPVRYNBwMp5xSEP5qVFBErXiW3M1kWCAHQMjgb/SGMCq2k0c8qhtn7k2S3YdMlsbP7rmcwbD1y9ELVlTnzmrHyUZFtRke8IC8IRhPBJOimrSvB3OexRvt5fPXYKj73aiM3XLUZhlgUBUTmwScrMGvyeNvOZ7QmVPjM1JpMB51bm4qFrFsF1OvPFY698jD63F5sumYOPO8O3jAoO4kr3ILipJh6BXSe6XHI9BEavkW17mnHL8mp8+3QG4w0rlOcSOgfdcNpNWH/RLBRmZsCeYcLJ3iF4fKK83VOu3YLqoixcfc50BEQR/7K0HPOnZWPb6e3apHH4u83dcgARoJYFyYjv/GEf1taVy0G7DRdWobooE/NLnXJGouDPS8r+3OUawQ+uXIjv/vHMPac8345bV83F/TsPKwbOfvN3o8FSW3Ydg9U8uk2ixyeGtClSNr/WPje+dtGskM9SrU1P1601g52aYttUJJPb68ewxx+WDccdhxXcU9nAsHI2nIFh7bPhdKrMT3RyfkJTSgtMNl+3GDML2O/RUmuvG/5AIGSVvD8QQFvvCOaWaHusLpdylpZ4bN9GlAgDbpW2R+NMbHl2s+L2rPkO/WYHyzAZ0TkwEtJ/2nTJbJTn2pJdtLhQy/LcMeBOUoniK5FZu9r6lPtt7X0jwHTND0cUdz0ur+I13ePilmoJo7bSvro4S84KdFbRxFt8WIwGxRRs03PPZAsKDvC5qb5KcSuyf569KGQLM6k8mVaj/LvgSbOZBSorO3LtWFKeG/YAJPh81VKab2tYhr99+Cl+ccM5GHD78OPrFuOTblfYCvaHdx3FT9YuVm30lD43aWuQsdr73WjqGpZXCEuinbSL5AFUrNu5qB0v0tX1Wh6XiICCLOU0qgU6TaNKpAdqwRrAmew3Y9vTaNtP6cFte78bW3aN9iu+dtGskD6P2sPC4MCC8YJXlNr/UqcVl9aW4tu/34ub6qvC3n/CLdP6Rz+Pn/3jWEgQu0EA6ipyYTodeKEU9CGMyeyysCwb//ufZ+GDll4AwLN7PsH1SytQWSDg87XTAEDeNm3sZ9DeP4L1T7+PXLsF3/v8POUVc84MZFnNqhllxmZWUSrz7c8fwK++ci7eaOyCPwBs29OMW1fNiyhIItlB3FMp60vwte5WCUBr7z9TF5t7hsKCHD7pHlK8TmqnO/Gd7fvlwDpRBOwWA3qGPHj078fksVPw+Oq7q+Zi/UWz4PYFYBCAtr5hmIyGkPr60DWLcKRjQN4a6epzpiuWuymoDkvZi9TqafA46cW9J8Myudx/9UKU59pD7mN15Xl45VhnzP3/T3vdWP/b90N+JwU+KN1j3N4AFpZly1tpT4UgOC2l+tbX0ZZPqe1cvbAsJBveeMFzQx4fPjIM4s6gBxgbV1Qjx25BqXN0iyJp3kIK7rOajVg0IzfkmPmODHi8fVh3QRUyM4yK2Ys8/gBWLyyT61Rr32j7XZFvw5YvnB22DXogIIZsW1+Rb8PWG+pgNgooyhrdOv3U4Age/9c6tHQPK9aVQFD7u6+lLyyA756XPsT6i2Zh38l+GA3hfYZoszWmi8wMk+K5cUso7Xn8In72j2Mh2x7+7B/H8MOrFia3YDrjsBoVr2lHhrbb2gCcn0iUqRz8n0h2iwl3v3Qo7Hp+Ig7ZwTKtJsVnJA62PZSmirOV2wOttyRsPDWE377VFLI962OvfIyS7AxUFmZpeqxUMeQNyAuQgNE++ua/HsFjX65LcsniI9+hsoWcQ599iyyrylgkDhlAs22JOxZRImTalPtT0V7ThjiULe0FAiIaOwfxxsen0Ng5iEBAOdJFWmlvNY9+jNFsiyAFt3x+y6t4o7FLMQWb1WSU3z84wOeVjzpw84WzRrfR2H0Mj73aiK9dVA2LyYDvX1kbUp57r1iAaU4b6iqc2PLFszG7OFM+zsneodOTe2dev2F5NQwGyCuN1c5XLaV5l2sEi2fk49+fehfrn34f33j2A+TYLci1W8JeK92Yg0mrFJU+py/+8i18fsur2HmwLeQ7kQKhxr5PUZY14u8SUH8AdaLLFdGxohHJeQXT6rhENCoQ8I+mdA66/911eQ0CIleFEqUyKVgjOAPOeO2pWvvp9YvY+0kvfL5A2DHG/p1Sn0fpPYMDC4L7DsHU2n+fPzQdb/D7b393dMuZ4PvV7avn4w/vtQAAKvJtyMwwoXNgBD++bjH+9fwK/OG9Fjz2aiPmlmSjIl85W6Vk6/98jLvXLIDVbBjNhLm0HN949gNs2TXax1xbV46n326CxWhAICDi445B9A55sXHFLHl7XalcLo9PfuB7345DYf3Me69YgBy7Ge39bpxflY9Nl8yesB+tFjQGAFcsLkN9dT5+9ZWlEWcoGi8IjbQz9lp3efyK9cZsNMj99La+8O/m2T0tuH31/LDxyket/XKw0Ybl1Xj1SAcyLSa5rigtjvjBzsNyffjdnhb0j/hD6mt5ngNWiwE2sxGPv9aI1j63HBg3ttzvf9IbUoenO224/+qFYeWU6qnbG8CQx4/bV8+HyQA8eM0iPHB1LR771zpcOr8ELx9qD7kvPLf3JI61D0Tc/x875il1ht/7ggMflN63ujhLcQxI44t2XJdosZRPqe0cGzgjbe2udA+3moyK8xsdfW785+fnhf3blt1HYTYa5PJK17IYEDF/WhaMBmBwxI8BtxfrL5qFDStmYVvDMqyqKUG+IyOsbFJW57Vb3ww55xOnBvHOie6QMX9T1zAantqD4mwrzirKRGVBJuoq81HqtOHTvmHV9l7+fFWCkEezptlwbkXehG26XrKKWcxC2LltXFENi4n3FK0NjPiwtq48ZE5wbV05BjXOfjDVGQUhrK+66ZLZMMahneT8ROKMHU+y36O9PpXsYH1xyA7m9fnDnpHcfOEseHW6RRLp34JSJ+45PT8DnNnSvrZU2y3VrGYDjnQMYsNv38et2/djw2/fx5GOQVhM+n1cPKiSPUqv/Se316f47Nft1ef5ZllNuPOy0L7UnZfVICsOAahDHuXPdlinny3pn1p/yheIrj/FkLsxotlmYTIrI050uXD/zkNYd0EVCjMzFBu7U64R+f2PtA/Ir6mfXYS7Xgrd2/uO5w9g3QVVeGnfSfz8S+fA4wugODsDNaVOBAIirju3Ql41L0VfDo748eLekyFbkW3b04xVC5Tzmwafb9fgCB57tTGk3FazAU6rJWxy/44XDsppx4NfaxCEsBW+G5ZXw+s/856RrEJX22KlPNce1ZYZkWRBiGU7FyXRrq7X6rhENMpkMIasChXF0VWhD16zKNlFI6IoTNSeKrWfG1dU49u/34eeIQ++f2UtLltQCosldKVy8N8BodkIpIeFwZlTpK2dpDKoZSBRK+/P/mVJyPsH9496hjywm41yZhZRBFxuL1r73KjIt+FbK+fg1aOnQspz35W1WFKeg/K80H6p3RK+CudIxyBqy7KwrWEZ+t0+/NuTe8IeBK+7oApdLk9Yv2rjimo8+UYTeoY8uP/qhajIO5M9U9r2t+HCKtSUOlGSnYFet0feis1qNuAnaxfjqa8uxeCID+V5jrCtbwD1jKLF2daYMgWpvR+DuLU19lpv6RlS7Pe/19SN+/78ESrybfi/pyeHgr+bniEPXG5v2Hjl1s/Nxfrls7C0Mhe3P38AqxeW4Qc7DyPXbsG6C6pQnmtT7Nd/1D6Ax15txMYV1fLvpPpqMAhYPqcYswozsaQ8F/1uLwocFpxVmIlvB23zJl330t/fv/MQvP4ANv/1I6y7oAoVeTa09A6HbHNtNRvgsBjR2ueWM79K/flPeofD7gu3PXdgNLBizGem1P9XG78+cv3ZWP/0+/LvpMCHsfcYjismJ9lZ0yYSS/mU2k7p+pHep7XPjW17mrH1hnMwOOLH9Fwr5pc4YTAI6FTZWstpN+NIx4Divw15/GHXckW+DTd/dlbItgcbV1RjflE2astyYDAIqMx3hJVNLRuztLXLRGN+6TNYPMMZttVEcP0HoJqtr7lnCFu+cDZy7OaQPkPPkAcOixHPNizDkNevq+waFsPofS54Cx2HxQiLQb8PrpLFaTWHXeNbdh/FEzcuTXLJ9MVkNMBqMoRc01aTAeY4XNNGzk+QjtgtytnB7Bbts4PZzCbc9dJ7IffDu146iCe/yvshpSeLxYjLFpSiMt+Otv4RlGRnoLbUGTZnNVlGgxA2r7VxRTVMOuiTqilxJiZ7VKooddpwxwsHw+ZSfnmDPjM69Q/78PP/Ce1L/fx/juH7V9RqfqzMDDO27WkO+2zZb6N0ZVXrT0U5vmTA0RixThiqbfc1lpTO/FjHAL6zah5+uPMQLltUpvrgQ1p5If3O7R3d+iJ4uwxg9OGUIIyu0Lv5N+9iR1B5937SgzueH01/vv3dFnx31Vx0DXlgtxjx7xeehbvHpCWvzHeopl2XymMQoNgp6XeH7vVX6rTiqiXTMasoExtXzMKze1rQM+TBxhXV+OCTXsUbc3DAUyRBQGqBX9F+l5E8gNIq/W4sW7ww7S+RdvqGvfD4zty4BQHw+ET0u6Pbl5SIkkutPe12jUAUgaZuFwoyLfj9zeejrc+NfSf78OQbo0EApU4rmrpc+NtHHZhTnBUS7BLc7na7RlBdlClv9dQz5EF1cSb+dEs9mrtdeP+T3rDAArXgFbXyOoICgYIDdWrLnNh/sg8/f6Ux5P0fumYR1i+fhbnFWTjSMRC2ncv3/rgfOzbUy+dzpl83jB9ftxg/3HkITV3DctCHa8SPusp81a3SjAbAYTHhf/+/t8MyVjx4zSIcbhtAWY4VMwtCH1L3DHkwtyQbl8wvxokuF9b+8s2Qv//6tg+wY0M9zp2Zr/odKz34lragigWDuONLutaOtA/gpvoqbH+3Ba19btWFDqsXlgEY3a7p/754MCwQ5s7LauDx+vH4a6GBSvf86RB6hjy4cnE9fvWVpfLijNY+Nx79+zGsXz5LrlOlTiv+5bxyFGZloDAzA1+/uBq/fbsZ154zQ7GvX1mQKW+PDQCLZohYUOZEx4AbAgR8fdsHcn2Uyi7dH6Tt3L58fgV6hjwAzmT3erOxK2yb6U3PfoCfXb9Esd65faNjN+kzq59VgHMr88L6/2pjnj/dUo8dQWOH8ly7fO1L95jZxVmYV5KtGOyXalJ127JU3/p6vPJJY2alMf/YsWfw9SPVxbV15bh1+370DHnQcGEVWnrcWFVTojquPtY5qLoVW3G2NexaXr2wTA72AYDZRZmYkWuHPyBi/8k+1JRmw2Qy4PyqfNx/9UK5HiptY+b2ntkKLdKgU7PJGDJpbTWNBtQE1+3a6U7cd2UtvvfH/WFByJ85Kx+egdHjPHjNIgx5fOgcGMF//U8jfrx2EZZVFcT6taakEX9A+fcB5d9T7PqHvYrXeP8wx7JaGnR7kWMzobLAgW6XF3kOM3pdIxgY0f5z7htSnp/oG+J3SunHZFQJZDBq32/rG/YqPiPh3B6lq0BAxGvHT2FfSx8CInCsYwB9bi+WzynWdOwjAijLycDWG84508YNjSA1crTGR67dgrsur8GdL5xZTHDX5TXIc1gm/uM0NOTx4wvnlofdi4c8+swANzjiU+xLxSODldk4mgXz404XAiJgMgCbLpkNcxzaOaJE6BtSHl/2RTm+ZMDRGNFMGEaTDUnp9RX5Nty6ah6au4bCHv6MffAR/HAkM8OIL59fEdZYjC2vNIH4Sc9wyDm5fQH5wVRFvg0/WbsYGSYDKvId8jEnOq/WPjeefKMp5KHBk2804SdfWBwyuX/DsoqQhwb3XlELn8+H3EwrBtxe3LG6Bne/dFD1vCNdhS4FQgV/R9FO/kb6AErpWNGKZXW9FsclolGFWRmK99HCTH2uaiDSK6X2tCLfhpO9bnzp8bdD6ndVgUPOtqjURxnb1wlud5cERNSeDjgIDvqdWeDA8OnAGmDirVHU2v+AKIZlQJhbko2LZhfB6xdD3n/jimp8f8chtPa58Z1L56C6KAs31VcBgBzcEdzfUeqv3r56PgbcXgy4/SHB3kVZyuWrnebEiM+v2K/6qH0Aj7/WiKuXlMFgELByXjG2NSyTg7pqSkczXsT6UF56z6031GFPUzf8AWDzXz+C2WiIeBu1se/HIO74ULrWpAfv299tCWt3gzODSQsnnnozdHzRN+zBE683Yf1Fs1DitKK5ewhPvTmaVWvzdYtRkWdHc88QLCaDvLihtc8tZyJ75p1mXL+0Aj/+25GQ+8FXPzMTAVHE1hvq0N4/GjwUfB0oBbdUFWaisXNQro/SwoqZBXY8eM0inOwdwuCIH9vfbcGTbzThiRuXQoQIm8mIDdvex2WLyhTrgMkoKNY7UYQcQGU1G3DV2WVRZWntHHSHbD8JIG2v/WjH3Yk09r5e6rTi2rrpGPL40dg5mPTPWK3dKcm2jvuZKo09V9WUIP/GpXj12CmIIkKCbQMi5MU95bl23HvFAtz23AH5vR+4ZiE6+t0Y8gRU5z7eOt4VUs7gLU0XlmXji0sr8K3f7w2aW1iAKxaVwWQy4LKF0+R22mY2hQTiSuc8pzgLv3zl44gyfJ3ocuHt491o6hrGo38/k6m51GnFQ9csgmAApjtt8ARGt0+TMqBIn0vPkAeFmVYc+LQv7L5nMQm6zKrX4/Li9++24KYLz8Kwxwe7xYRfvvIxvnZR9cR/TFHJdZgV63Wuw5zEUulPnsOCT/tG8O2n3g0JhJ4ZhweTRVkW5fmJLH0+BE2mVA1g1hODABRmWfDQNYvgGvHBYTXB7fXJAUFaKlSrOzoNICD9a+524Wj7YFiGz1mFoYtiJstmMcDtFdEQ1MbdfXkNbGb9ZqZs7XNj5/5W/OKGc9A75EWO3Yxfv3Yc5Xl2TT/bVNHSM4w/72/FA9csCumbz8izY3F5brKLpzlp4dfY9qA0W/txV8+QB50DnpB6+q2Vc5BtZbgFpaf8TIvi+DLagEzWgDGiCQSJNoNO8OtLnVasrSsPe/hT6sxAZX5m2IBn7HZmN/x3+Arz9RfNkstbmHlmAvEna88EAV21ZLo84Q6MTux/fdvoClipzI2dgxOeV3G2FRbTmfIJAmAxCSjOypCDdpRSmd/23H48ev0SfO3p9+Tzvu/KWjgyTChwWFA7zRly3pNZhR5tUM/YB1Al2Vb4A8Bbx7s0H4RydT1Rcvn8otwBBc7cR5dW5iW5ZEQUDaX29J41tWh4ak9Y/X7omkUh/SGl7Vbm3FKPs4qUMw0qBf1GG7yilq3nO3/YB49PlAMtDAIwvzQLJpMh5P2l7CoA8K2Vs1GcbcWxjgFsf3c0g6QUwNEz5JH7O0r91Xte+hDrLqjC4681hmS3PN41iP/43Bw8+JePQldAeX3ItltRkW/D6oVl8mTxi3tPYm5xFn55Qx3Kc+0IBES8fKhd8QH2ZLYya+4ZCvlOAYzb554Ig7jjQ+lak7bke/y1RjkzWOegGzazERueeT8kU5DVbJADbKT/briwCq19bjzy92N45PqzcfaMMnzmrHw548rY623jimr8eX8r/nluEYqzrbhnzQJ5ElUq08O7jqLhwiosm5mPrz7xjrwI4541tTAbRwMBjncNhmxHJl3HUh2+f+chrK0rD9si7sW9J3HDsgps29OMwqwMVBVmYvehdjR1DcvnNLYOHG7tD8nOIgVS/HT3Ufk1911ZC4Mw+pAs0m0HlepWul77qbxtWfB9Pdce/tAr2YFRauNOfwBRf6YGg4DCrAx5a/VSpxVfu2gWjAaguigLuXYLOgZG6/RPT9d94fS2Wm19bmz+65nAv9tXz4fL7cV5Vfny9mhq17LbG8BNF56Fb58ONpLKe9tzB1BdlIlFM85MmIsiYDy9wjT4eBuWV+Ohlw9jbV05dh5oxaaLq1FT5sSIL4CKvPAxeHu/WzEbU8+QB+V5NrT0uuWsfRX5NtyyvDokwGrzdYthNECu11KZt+w+isf+tQ6iCLzx8SldPezOtZtxaW2p/D1J9+QcO6cdtWY2GsKu8dFV1fp9SJgMbm8gJMua9N9PxWGrJo/K/ERdBbeF0lIqBzDrSXFWBpq6hkOChO9ZswAlcdi2yOeHytzeeZofiygR2vtHFK/pJeW5mgbFjHhF3PFCaBt3xwv63o4wy2rC0qp8/HtQkNXGFdXI0mmQyPRcq2LfvMypv4UPAGAzGxXrzoq5RZofKyvDjIde/ijkWA+9/FFc+ohEiWAyCGHbyd95WU3UWbtivpsKgnCjKIq/ivXvU1U0gSDRrtQOfr3Sg657XvoQ2xqWjTvBV1WYqXpcty90cks6h9beYXnVfPAqweC/7Rx0yw/YIjmv8lx72KTavVcswPQcO6bn2LGtYVlYZiXpffa29Iac9/f+uF9+EBG8SlE651hX4sYS1CN9xpX5jrgOQrm6nii5OgZGlO9zgyNJKhERxUKpPVXrxzSecuH7V9biP/+4X7U/dKitP+qthaJ5gK9U3i7XiByMEJxF4TNn5aOyIDPk/Rs7B2ExCYqBDk+92YQtu0cDKeaWZMv9HbXPY2FZNnZsqJf7H42dowEWG1dUh2RqePKN0QCmn37hbKy/qBq3P38gZPCx9ZWPcaRjEJuvW4z5pVmqD7AnE2yd6lsW0ahIr7WzikYzb926ap58Pby492RYRhTpmpICjIL/HlBeJPHMO80h1+mGFbMUyxQQgfeae0IWgkhBbVIwxNcvrsYTr49mcAkOxFhVU4KyHCvWbg3dIlAKrtqy+yi23lAnB/JJGYy2v9sSllllw/Jq/Or1Jvz0i4vDtj87e0YuDrX140j7AB78y0dyVqex45GpsJAhle8Bwff1zoER/Ouv3la8ByarnGrjzrHZhKTyTvSZjhd0t3FFNUqyrWjtc4dkBvraRbPw+GuhW3/e89KH2HpDnRxsFPzeSveF4RGfYnnb+tyoLQt/gPzdVXPx0y+cjZ4hD2wWE072DsHjE7Fl91FsurgaeZkZWPfEnpA6E1y3irOteHHvybA6e//VC5FtM2NTUP1v6hrGT3cfxbaGZRj2+if8jHuHvLhpnGOnK4MgKE7yc+Jdez1DHmQYDXJ/zSAAGUaDnIGPtNHerzxn0D6g/ZxBIo81laVyALOenBr0yn1xYPRzvv35A/h/685Dhca7iXJuj/TG5fEpbhM45NF2W6hTg8p1p0vHdWfI41fsq55Tob9sPwDgCygHZJ67Tp8BmS29ys+iT/YOY3ZJtqbHGlQZm7o0rqdEidI77A3ZTl4UgZ//zzHcs2ZBVO8zmfDNuwBMKuBIEIRVAB4GYATwmCiKPxzz7xkAngRwDoAuAGtFUTwxmWNOlDo1mkCQaFdqB79e7UHXeHtoSmUf9vpDtgyQjls/qwBXnV0WNrnVNeTF9ndbsO6CKswpzlIts9r7K6WFb+4Zkh8ISGW/7bkDqKvIxYetA9j07Ae4qb5K8Vj+0NMO+TykVYq1ZTmK2xhEk/p2MkE9iRiEpusKYyI9yLKaFO9PWRn6XNVApGfB7WkgIGLA7VOs375AAOeU5+DnXzoHgyPKrznSPoD5pdmats1qWzMFH2O8/mTw3xdlWfH9K2vlB5XAmUCHB65ZhCPtA1hWlYfSbJucoVFtm7Tq4iy5DIGAiM6BEdxUX4U8uwW3/mF/2Hn0DHnCVsDd9eJBrL9oFvadPIJNz36A/7fuPHlwApzZ4k16gB1rv2wy2ZEocdS+p+BrTaLUT5/utKG6KPP0+MOGecVZaOkbhiie+bvg+jDs9YdNxubbzSEPOJQylFjNBhgEoCLfIW+LprQQpOHCKqxfPgtenx8GQcDJ3mGc6HKhIs8Bjz+gOJaTxjRmoyAH8h1u7ZcXfzz1ZhM2rqjGjDw7HBYjPmofgMUkIM+REXZfEATgW7/bG3IcpfHIVFjIkOh7QLTbrUy0MGiiIJ54b++iNO6M9TOVrrcyp1XO8AOcmcC+ZF5x2HurzX1Iq+UaOwflc185rxg7NtSj2zUCs9EA14gf2xrOx4jPr7o13P6TvWFj9/9+/TjWX1Qtt1vB24nWlDnlYCPp9Zue/QDzN9YjIEJub29fPV/OCGg0AHUVeVhWmYf3W3rDtjJt6hrGsNePZVVnnqSqfcZH2gd0+bBbbeJ9cIQT71qzmo34wc7DYdfWr288N4ml0p+i7AyV+6T2WVoSeaypLJUDmPWktd+tGDDR1u8e/w9jwLk90puZ+Q7FbaG0XkxSkKnc7uRn6rfd6R/2KrYB/cPeJJUovtr63ZhdlDm63fGID/aM0S3V4nEvTgUOi3J7YLdo3x7kOZTrT66N23lSehry+uHxnZl8FQTA4xMx7AmM81fhxq1tgiDsU/snAMVRHSn8vY0AHgVwCYAWAO8IgvCCKIofBr1sHYAeURRnCYLwBQD3A1gb6zEjTZ0aaSBItKtJg18PKE9+F6vsKalU9o0rquVV5/desQDnlOfKmYHGTm71DHnw6N+PodRpDVuld+8VCzDdaVN8/z/vb8WltaVhaeFzbGaVQdqI/B5Kq3h/cOVC/GTXRyF/ZzUb5AcJbm8ArX1unOwN/55WzitW3aZjvKCjWIJ6YhmEch9wovThyDAopgm0W5iGnihdSX2l+3ceCut/bFxRjeriTJTnOVCe50Bztyssm4qUJegzZ+VrNuEcSd9zvP6k0t8/dM0ixT7KsY4BPLL7GB57NbSP+JO1i/Gjaxfjm79T7q+OPcbGFbMU+6g2i0nxuCXZVpSeTsl8vGtIzmIhfabb9jTLD7Bj7ZdNhQwuehDt9zQ2WHDstS5tK9bUNSy/l8UkyFudfe/SOWGTsXevWYBcu0VelLH93RZ84+LZ8pbS0v3AbjbioZcP44ZlFfAFRMVrOyAC97z0ITZdXI0smwX/9uSZjCT3X70QFfk2OTsZcGZMYzUb4PWLCAREtPe78avXm3DzhVVouLAKdosRWVazHEgknWd5rj3s84lmPKL3hQyJvAdMZruVWIJ4krW9S3muPawdVLsWxzIYBAx5/YrX5+H2AayaXxKyTaBRUA+sVTr3lfOKcbhtIOT3v7hhiWJ5e90evNvUG1aWa8+ZEZZdQQokVMqGkGu34L3mXnzvj/tDyvLEjUvR1u9W3cZRaStTidJ1e9+VtXjwL6HzIXp52F2ea1f8nmdEcE1RdAbcysFdA24Gd2nJbjbi7strQgIX7768BnaLMQ5HCygeC4hukp/Gp7YQozCTixi0NCPXphgwMT3XpvmxOLdHehMQlbPSrJxfoulxhj0+3Lm6Bne9FFR3VtdgWMcZWrJtZsU2INtmTmKp4qeqwI4vnlcRsqXanZfVYGaBPvvm03IzFPtS03K1D6Ib8fkVs1d7Auy3UXoqcFgU+275mdHdHycK7ysG8DkAPWN+LwB4PaojhVsK4Jgoio0AIAjCMwDWAAgOOFoD4P+e/v+/B/CIIAiCKAavc42c1llrol1NGvz6btcIqosy5Um4iSZNlcr+8K6jePCaRTjcNoCf7h7dy1U6j+DJre3vtsiralv73Ni2pxmbr1uMYx2DGPEF8NPdR1FdlKn4/r+44Rx5X9Pgz+z/rTtPsYHuHToTKdza58ZTbzZh3QVVqJmWhbkl2ZjutMEvBhQf8EnvUZCZgS89/lbYMbc1LItL1iGlQKFIJ4ulv+1yjeDTXnfY96mH1OhEeuTzQzFN4EPXLEp20YgoRsF9Jan/YTQAF5xVgKLsDJTnnemjVRaM9huCtw5Te2CoVZkA5b7LeP1JpS2jjnYMjJtBUurDrbugCo/+/Ri+vu0D/Oor5+JPt9Sjc9CNwkwrjAbIGZBEESHHeHbPmX5jcF/tZO+Q4nGbe4Zw1ZLpMBqA257bH1LW4K2lJmPsZzT2HBjknRq0zi5623MH5OtYqjsNF1bJrzEYBGx++UjI39zx/AE0XFiFLbtGt3Jq7XPj6beb8GzDMrQPjGDEG8AnPUP4+SuNaO1zY8vuo/jx2sWK17Yojr5naY4d//H7vSHHuXX7Pmy9oS5kGzYpwG7D8mrc/vx+/OorS1GcbUXPkAc/f6URVy2ZjjKF97rtuQMh4zgJM3udkcgsTpOZM4glMCpZ27s09wzhp6e3AZT6wmPnFMaj9tBWyhT4vxaUItduwZ6mbljNRvzH5+bgwb98FPK5BG8DH3zuSuP+f3/qPfzl6/XY1rAMbX1ulDityLGb8bmfvBqWWbnUaUWJ06oaSHjilCus7NfWTZeDjYLLsmNDvZy1SKlNVtrKVKJ03RoEhG17lYh6nYjFUSaTgLsur8GdQZP8d11eA7OJ7bPW1DJ6ZDKjh6aGvX48+o/QOYNH/xGnOQPRoHisB6/m/ISWjAaEjXM2rqiGkbEp2lIJmPhMVb7mh+LcHulNx4ByhrDOQbe8tbgW7BYTfv7KwdC684q+686wx6cYJKLXICvXiF8OxgTOZCnX63bH7X0ePLunGQ9cswjDHh/sFhOeeL0RVYWZmKHxrnlGQcC2Pc0h9WfbnmYsnZmn7YGIEkQt2PXJKO8XE41GXwKQKYriB2P/QRCEf0R1pHBlAD4J+u8WAGM3kJRfI4qiTxCEPgD5AE4plKcBQAMAlJeXKx4wHqlTo11NGvz6xb4AKvPt8rYBNaXZqpM+Y8supf8fGvHJ6a2Cz8NgELByXjG2NSxDa58b05w2XFhdgONdQzjUOoB7XvpQXvkLjE7GK302bX3Kx20fcOPH1y3GD3ceklcdb1heDbvFGDLx0drnxuOvNeKJG5fKZbtiURmqizLROTACgyDgrpcOorXPLa9KtpgExbKMLaNUliPtAwAQ06SZ2orSlfOKQyaLK/JtuGdNLdpPpxyUJhOlv113QZW8ol8qb7qkRo+k7hDpTfvACJxWM+aUZMlpRV89Ykb7QOR7VbPuEMUu1voz3gOz4L5Sa58bj/59NODgM2flo7IgEz5fAPtP9qK93418Rwb8oohzK/Jw2/P7QzKoaJkxI9K+p1p/Uunvn93TopqdKfgY0uSU2xvAG41duGJxGZZW5k+YMam1z40n32jCg9cswkftAzi3Mhd3PH8AHp+oODnz1JtNuLZuOv5/9u48Po76vh//a/bSalf3yjosW5KF5Uu+EeBQTIJNqEPNaY6UllxQN7/WyAlJQ5NACIGSOCFOMdCmFJoG0gSTkEAAxyGxSSDfcMSADTY2tpEtYSPLsm7tarXanfn9sZ7xHjN7afaafT0fDz0Si9XOZ3fmc8573p85NaWqn1XeWipRWudY/o6aXc6sZAPJFbne9+idXVQQwv8tnn7spL7cjgqHTfVvQrNsBG8kzcHChgq4j/TjHx57Ler1lQ5r1M2nL148B6IkoWP1bOV18txDLlOxzYRtHStx+OQYvH4RHw55sHZxAx5/tUvZSvDcZpcyp3joxcP42ifmxtx2MJRa8MqDNyyDAOC1zn64fX40VTkxq7owAu70yOKU7jWDVAKjsrW9S+9IcBswua+UnRz1otnljBmcIooSjvSPKVuORfYJcqbAC2ZXY0ZlMQbcEzg15lOCfE0CYLMIGPT4ouoDAIx4/VFblnknRXw45MVHzqrGkpnB17/y/il4J6MzK1/bPgMfDKgHyc6tLcV/v/R+VNm1+rDQ86C1JjOvrhRza0tVv+fI61YUpYxn7NMji1Yidad/zIeJyUDYeZ6YDGBgzIcm/e8xFzT3hB/fumwBHEVWuCf8cNot8Hgn4THoDbNsOTk6odFOJr5mACRWf/rG1Ncn+saSOxbFJs9zQm8QPvZKF5bOrFAeSKGp69EY25wY8SKZUIbExm1TX9sjyiV1ZXbVLBO1SQSnJ1J3fH5RtY+b9Bs3Q4vDZsHuD/rxXzeejUH3JKqcVvzk1SM4p1nnaJQccWIkOqtrsC02Zvs44PFh1by6sIxOHataox72iCeR+jPs9eFz589Cv8cHUQIsJuBz58/CiDe5YxHlir7RCfVg1yTHUzEDjiRJuinGf7shqSOlmSRJDwN4GADa29tVMyDl0lOioigltT1YaNnry+24cUVT1FYhdSHbsam9/x1rF6C6pCgsMAYIfgf15cWae1zGOu4daxdg1DuJUW8AW3d148I5y1WfFqktO5O6zmIxYcnMSnT2jeGz//s61i5uOPMEz4uHsOWTy1TLUl8e+ztI5WaT1hOl2zpWhmWjOj7kDXuCefN1S7GgvlT5W0FA0gvFubIFWyJ1B8id8hLpYWZlsWpa0ZlJpHhOtO4QUbRU6k+8G2axxnl+v4in9xyPCtLZuqsbt358Lhoq7KhyFik3/Dr7xnTp76Y69lT7+0GPD32jE1h/YQtaa0pgMZnwne37wwLJQ7erlbMfnRwN/vdEMiYNenw4cGIUD714GP/6ibn45DmNuH/HITz+ahfWX9iCxkoHTox4laxQq+fWYMznV/2sJiGYqSmR7zGRm6JTzQaS7+MZo/Y9WnUlNK9t8HoK/v+/O69RM6DgxIhXuZFkEoDljRUx2wjPRACPvdKFDRfNRl2ZHX1jE7BbTPj29gPwTga3GWxyFeP69sawuUdrTQnObgw+wXbplpdV63noQyC9I17YLGbc+eu9YQ9shG47GCoyeKWuzI7DfWPYvu9E1HbXhRJwN1WZWDNINjAq1W3YptqOaR23rkx9m7PIdnjDT9/CFy5ujZkpUP4uAODvH3096lg//Puzw7bh/OqaeZgIiGHbF4ZuWRaQJBw9NYae4eDnlrMshWZWNpuABfVluOvZd1WDZO974QA+eU4jAgER6y9swbKZFWhyOZXtEGOdh3hrMonUxUxm65LpkUUrkbrj8QVw728ORH2Hj3yqfaofgSLUltpxctSHL0fMZQsxA1461ZVrt5PJSKT+zNBYn0jHFlSFzGGzYNDjC7vBHlz7Tsc2eYVrusY9hrpy/evOzKqpr+0R5ZJR76Rqlom/Oivx6O1E6o7W9mIlxcbNlihBxOr59cpuLnI2Tsmg25fWlRVpjGP032IsF1QWW5W5GXAmG22yGZ0SqT8uZxEOn3Tj4ZfOzGVv/fgcuJzG/G7J+OrL1YNd65McuyWcNFQQBLMgCNMFQWiUf5IudbjjAGaG/HvG6d+pvkYQBAuAcgD9qR5QfkrUbg1+7Ew8TablyCn1RZ8jp9yqrw8t+9XLZ0Q1nvfvOKRspQGoLyrd/dy7ONQ7io2rW6O+g/m1pfjeNYvRsXo2NqyajY2rZ+Nrn5iH/37pfeX1ase9+7l3MeoN4NE/deK2NfMxr7YMrbUlWH9hCzasmo31F7ZgVrUTfWMT6OwbgyieaaNDn6p8cOdhPPTiYXT1j8PjC+DBG5aFleXBG5ahrb485ndw65O7cbRf/fuLJIoSOvvGcLB3FDevbAmrOHKgkLxAWuUsUrZKCz1Wb0SUsPydhv5ba8FHvqF26ZaX8bf//Rou3fIytu87Efb9hJbzlfdPRX1/mZRoeYnyhXdSVE0rGhk4SES5Q+uGmdz3xxrn7esZVoKN5L/dsvMQ1i5uwG1PvY0qZ5Fy0y3V/k6tz57q2FPt7ztWteKxV7qwZcdh/Msv3sbRfjeub28Me83G1a345ZvHlODwcrsZ9eV29I1O4OaVwTGaPPZ5ctcx3HvVorC/v+fKhXju7eCw/PfvnkDb9DLcd80SfOmSOVhQX4YHXjyE+144iEGPD5uvW4pyhxVf+9U76FgVPsa8Y+0CfGHr7rDvMdbYJt45BmJnA0nkHHE8kx3xxrRq1/q/XbUI5XYzNqwKBvx8d91iLKgvQ5OrGAvqy2A2mfCD65aiyVWs/M3dVyzEz9/4AA+9eBiPvNyp1LVY9bHIasKgx4f7XjiI7//uIFprStDv8Sl15cUDJ/Gva+ZHzT1ueypY/2LVc/khkOsffhXrH38Tn//JG7i+vRH1p7d72rLzEO6+YpFmmyDPR1a0VEOUgLePDUctQCczB6L4Mr1mkOzx9GrHtI4bENW3OZOvMVGUlL4kIEpwOWx45OVOPPTiYaVPCK138pxbfr/6cjv++aLZuHllC8Ym/Kh02JTj9Ht82Py7g1F99bXtM7BxdSs+HPTgQM8o/t/7/Xhm93EcG3Jj07rFymcwm4CZlQ4AwQxKj7/ahc3XLkHH6tm46YIWPP5qF7r6x3H/jkNw+wIotpoRkIJtw6zq+Och3ppMonUxtF63TCuJCjbSew1gKv1mMsZ8ftXjeCYCuh6Hglt9qc9l+V3ryeWw4s7L2sLahTsva4PLadX9WFyfyAxfIBA1X+lY1YrJAL9nPZnNiLr3sHF1Kyxm/YNrfX71uuMzcJYWMrYPNXYhCX3ATA/+gKhaTwMBI6+NmJStf4Hg93rnr/cBkjH31XQ5rfj21YvC7rF+++pFaRnH5AJ5bvnPFwU/74ZVs1HpsME9oX8GUJ9fjJq3bv7dQUNnCCNj8wUC2LH/BL57zRJsunoRvnfNEuzYfwK+JMfICYWsCoJwC4A7AfQCSsinBGBxUkcL9xcArYIgzEIwsOiTACKzJv0awKcBvALgGgA7JUmaUq9nswhRqbyzoWvArTp46B5wq+7HGvokXOiCXejfhu7lqrWo5PUHU46vv7AFbfXlaK0Nbk3RPeBGz7A3LCrzzsva8JU1czGj0oFLFtTh0En14y5uKMO2jpXKk3mr5taipbpE2X5s9wdD2PvhCMwCsGhGOVbNrY35lHF9uR3v9oyGlWXzdUsT+g4SST2v9vS8/OSkvLVbaKCQ1nfpCXmSPzKNe7yF4kSeMtQj9ble9HgqkiiXDLjV04oOuI2ZVpQon8mZHOL1/bGyBmhtHStnKJTfI9X+LlafPZVMBpFjn3eOjyjjFbl845MB/HzXMSWjS5XDigXTyzCttAjdAx48uPMwbBYBVSVFqtuwDXp8qC8vwtZ/WAHPZAC1ZXY0VjqwvLEyJMvjmSfA7r1qIW5c0YQRrx+r59VgUUMFXjvSj67+cWzf2xO2X/qgZ0Ip661P7saCjSvxbs+o5tgmka2FppJ9hOOZ7EhkTBt6rfeOeDEZkHBHyHaHd6xdgMdeOYINq1qx/sKz8E8/fVN5LznjqscXQJXTimvPnon6cju6Bjz43m/fU4Ig1OqjSQA+/aPXle2VgOC2q6HzkI5VrfhwaDzmtalVzzv7xqKuuS07D+G71yxRtoUutplU24TILDa9I16IUvJZVSk5mc5Ak+zx9GrHtI772pF+1Wusq9+NxkpHVBblL148BxtXt2J8MqD0CSaTEFbvb17ZArvVhEqHLSorUOg8XOv6bigvxv+91oVPLKrHN359Zhu0jatbsayxHBtXt6Ks2Bq2Rdq3rliIh148hHdPjOLBnYej3rPKYcO/7ziEQY8P205/d/HOQ+h3drR/DEBi2yMmIx1rAJnK9F3ttKkep9KgNzWyqW9MfS7L7bf01dnvwc9e61LGtsU2Cx556X3UlRWheZr6Noqp4vpEZricRdi6qztsS7Wtu7qxZmFdtotmKMcHx1W3rjtrWgnaput7LLaHZDRau5AkmyEsnhMjE6r1dFZ15hMzZErfaGG1F8eHvegf84WtbXz5krn4cNiLlpqybBdPd6V2i2qGFqdd/6xdWn3PSYNeS2R8Pr+IdcsbwzNGrm2Dz5/cAy2Jhm9uBDBXkqQ2SZIWnf6ZSrARJEnyA9gA4LcA9gN4UpKkfYIgfEsQhMtPv+xRAC5BEA4DuBXAv07lmHLq7y07ghl1tuw4jA0/fSvtT4SqPaHmPL1VWahgGlftBlB+Em5ObWncbDo1pXY0uYrDIjqbXMWwW4Ipx7fsCN58km/Q9Y5MREVl3vXsPljNZjRXl+CsGu3jttaWhj2ZJ5ezvtyO3R8M4f4dh/DgzsP4r5c6cah3DN0DsTMRxHqqUn7v1hr1skwrSe1m05adh3D18hmqgULyAl3ksRqrzpS/Z9iLrbu68fCN7fjZP5ynbMmmtSiYyFOGiTzlnymZeiqSKFNcJUWq9dpVwtSXRLkkNJPD3g9H4o5/tLIGyIs2kX8rb6Eiv0eq/V2sPjteJoN4Qsd/j/6pM2rrtPamKmVrgEde7kRdeTGqncHgoi07DqNn2Iu1ixtUMzzJWSNuffJtXP/fr2LQM4nGSge6Bz3oHfHCajZj8+/eC/u7r/1qLwY9fmzZcRjjkwEliLzJVYw1C+vxlV/swW1PvYN/+cUemE0mJZOSd1JE78hEzLGN1pgr9ByHjh/ry+3oWD0b912zBJKEuFkgOJ7JjkTGtKHBNQ6bRQk2kl9/93Pv4ryWaRjzBpSggtD/5jmdreRg7xgA4Osh1798vCOnoutjz3Aw4+rW17vxwCeX4d6rFka9/5adhzSvzWKrGaIoadZzrWvu8MlgEMQjL3fiwyGvapbTyCw2/oAEs5BcVlVKzVTb7XQeT892TO24Wtf6Wx8M4c+d/VF1+Qe/P4jxyQAWzyhHSZEVrx3pR2dfcM4vv1Z+OOfa9uisQPI8HIDm9d09OI6Vc2pUt5cwCSaMT0a3C994Zi+2fHIZVrZWa76n3D7I312i50GSgLGJACymYKDRIy934sYVTWhyFU+5LqZjDSBTWbvsVjPuujw8G8xdl7ehmFsV6a5aYy5bzW0cdOW0Wc48pCoBAoIPrcZat00V1ycyo9nlxG1r5uPRP3XiwZ2HlWz92dj5wMgcoXUHgCDIdUf//oDtIRlNW30Z7rlyYVQG6rb6cl2PU2q3oKGiCHPrSjGzohjz6krRUFGEkiLjbqk2rVS9vZhWasz2oshixn0vhK/n3ffCe7BZjDo2F1TniwL0n8vXlsZfuyTKJ3arBXc9F5Ex8rl9sFuT6xMSffUHAIaTK2J8kiRtA7At4nffCPn/XgDX6nW8RJ6a1pvWE2pt00uxcXVrVMRlbQJ7aMoLRpHvGTpBspiBz390tpJWVM5YVFdehA2rZuPZPcfRWHXm9W6t9Nc+f1LHDdU7MqHayC9vrERztXYmAq2nKkPPk9kE1e/PnEAIndZ1EJmpSb7x0e+ewL9fvxTv9oxAlKBkappVHUy9nsrTr4k8ZZiN61VLpp6KJMqU4fHJqKxkHataMeKdzHbRiChE6I23RLMJRmYFaXY5Mb+2FHdfsRB3PBOe4Wfrru6w90i1v8tEn601Dju/xYVtccZScianyPLNqCjGD35/SAli2rR9PyYDorKVbGT2ifpyO65ePgONlcXYuHo26srsStnuvmIR1j++KyoQ5KYLWvDQi4dht5o0x5vy96T1GU0C8Mr7p5TzuaatDgs2rsSb3UP42q/eSTgLBMcz2SHXD/n6kTOCjIz70Nk3hn73BD4c8mped8CZjGSdp9SzxM6oKMa4L4AfvtSJL6xuVX2NWiZZ+Zp4+/gIvvHrffjSJXNU/3YyIOK76xbjKxFl7HjiLdy2Zr7mdad1zclZib2Twfq2qKE8rK1QCzq4/Zl38NVPzI+aAyUTOKDWPmY6cypNTbrbMbV2WK6PgHpfsmxmBcYnRfzNAy8rf3PvVYtQ6bChZ9iLnmEvHn+1S7NuCqcDjRbNKNc89rqzZ6j+rXvCjzk1par/bcDtw8rZ02J+nsjvLrKOhAbhypmY1d5ry85DePjG9inftE7HeCJTWbtGvH78xx8Ohz0p/x9/OIzvXD2lZxVJhdZcdphzWV3VVxTh2vbwJ33vurwN9RX635jUPKfjPKd6ynQWw0Jlt5pU70lE3pzVg+ba3gTrDuUni8WEK5c0oLWmBCeGvagrt6OtvhwWi771p6bMqtrH1ZQaNzPluM+PO9e2KTfV5Qwe45P6b7mVC0bGJ1XnFSMGHVtkMoOVyQR887I2fDOkn/vmZW3QuZoSZYxW/TmVZP1JNOCoE8AfBEF4HoByBEmSNid1tCzLxk0GrSfUnr9lJVprS8K2d5tV7UTf2ARECTEnPIlMkE4MT6juYfy9a5bgkZc7cc+VC9FU5VAW1OSMS5HfTWhQUrITs0SCmOSnCEMXzxI5Tz3DXtW0j8saK9BcHXshTuv95UxNQHigWKXDhs/+VbOSfrDJVYylMyvwamc/6sqD30Gyi3+JBG/l0k2xZIPNiHJdebFVNZX299YtyXbRiChE6I03+YblTRe0YHFDGVprS6PGIWqB3g/esAw+v4StfwluiTDpD2BGpQMmE7BmYV3Ye6Ta3yXaZ0/lZn+scViiY6nIf3cNjIdlTFq7uEEJ+gDOZJ/YcNFs5X2PDXrw7zsOwWYRcHZTFXqGg5+l2GZSHffJN5I3X7cUTVXOmN9T5GecVmLHkf4xrLn/5bDzsaatDqIEJdhIPla8bYU4nkmM3kEpcgas69sbw24GNFU58OCLu7F2cQMe/VNn1HUnB6sBZzKSBURR9RqaWeXAv/7ybfQMe+G0q89rHDaLajCBfE30DHvxwYBH9W+nlRVhRbMLTS4Hdhw4iYAIJSAq1nUXL3hD/ryRwQRqQQdd/eNKHVneWAmPz4/GquADELHOT+hn9gck3B6yVV22tmum1IiiBEkC7rtmCQ6dHMWTu44pWwbq1Y7J15jrs+fi5cOnIEkI2/JMrX5UOW24/uFXw+rw1371DtZf2IItO4J1uGfYiw+Hx1X/fuXsaly9rEH5DJFbK/YMe5XsR1rrFWr/7a0PhjA+KeKS+bXYpvKekX2A2hjinisX4oGdh9DVP46O1bOVNQH5c8pt1S/fPIYiiwmvHemfUruZrjUAtbGC3gbcPpTbrZhbV4rxCT8cRRa8fNCKAbcvbccsVFUOm+pcdvO1S7NdNEMZGJvEnb8OX1e989f78MQ/rEBjlb7HKrOrr098l+sTustEe1joBEFQvSfxfzefp/uxuLZHRmSxmLBkZiWWzEzfMTwTUligOBAMFL//+mXpO2iWFdsseOrNQ2FbpT7250585a/nZ7toaVFit6rOK0rsxgwqK9NYBypNQ9auSocNflEMu7fvF0VUOGy6H4soE+QMcJH1J9mMkYnWtu7TP7bTP3kpGzcZtJ5Q6xvzYtXcWrRUl4QtfCW6+Bs6QfL7RbxzfOj0k+fFaKsv0w72mQj+/van96K9qVJ5Qq/SYVN9WjZy39ZkJmZaN5VCg5jUJBqMI28fEvreiSzEJfL+oYFiVy+foWw3V19ux/Xtjfj//u/NhJ+mV5NI8FYu3RTjU0BkNH4xgH/62GxlAVF+ksMvJbcvKRGlV+SNt55hLx79Uye2adzcVwv0fvvYsHKDcFfXWwCCYwa190i1v0ukz/b7Rfy5sx+7ugYgSsCze47HzIwCICzbos1sgscXQG2ZHec2u2KWKbI8z+45jnuuXKhsq2a3mnD3FQvx4IuHwv7ObFLPXlFXbg/726+umQevX1QyGtmtJmxatxhNrmJlGyz5e468kaz2PTVWOtDZNxYW4NIyrQSdfWPY8NO3VIOKUskCwfFMfFrZWacSlKKVAeuOZ/YqC5xq51LOXBqakeyOtQuirqFN6xbj7JmV+NFnzsXJUS9Kiiz42ifm4ZTbp2QndTltKCs2q362i+fWYOv6FcHrr9SOJpczLHPWpnWLsaLZBYslWAflAIrQsmpdd5HXXLHVjI4n3oraGjFyDqMVdLD3+DBmTyvBeS2uhL57tfMZmj0qXpAe5Q61c3nvVYuwvLECjVX6tmMmk4BppUV45OXOsGvw2T3HsWnd4rBsZJuvWwpfQFStw41VDuU6tltNqC4pwhcvnoMf/P5g2N+f01wVVv7QdY4tn1yG3hEvqkuKsLChHO8cH47KOgxE9y3ydT7o8WH7xpXKezdUFOPHnz0XJ0ai+wDVzGJP71WCH0VJva0qtZvxqY804dM/en3K7WYurQEkq9nlwN+e1xT2pPydl7WhyeXIdtEMx1lkUp3LOov4WLWejg+Nq9b540PjWNpYqeuxLGYR//yx2fhGyDn91uVtsJhjbxdMlIsmJtXHBT6/qPEXqePaHlFq+sYmoh4I6ljVmpZsMLmitqwIf7eiGYdPjirzib9b0YzacmNuqVZsManuEGM3aBqe6RV23HlZW1R2vYYK/ZM3BETgnuf3R63XPH/Lyhh/RZS7/GIAd13eNuXxVEIBR5Ik3ZVSKXNMNm4y1JSqLxZPK7ErwTsAcOmWl5N6Qlvm94t4es/xqBtIZ9WoB/vIgwbvpIjekQllIUvOGLT+whYsm1mBJpdT9bsJfUK2vtyOgAicHFV/+nlWdfRi2b1XLYLZFHyfqWRwSnQhTusJ7Uvm12Lr+hXoGfZiRmUx7BZz2NOIoTexQm+CXL18hjIQS/ZcaZE01g9y7aYYnwIiI7GYzPj5ru6CeaqBKF81VjpUb25qb+cavXVTa02psq2LTCtAINXMLvH6bFGU8PzenqgtozZt3495daVh5QgNMvpwyIvNv3svaiEokcB0edux3pEJuH1+zHI58fwtwfJNBiT85NVO3LZmPg6cGFECoM5pqlIdP3YPeMLGPv0eX1SWh9ueehsP39geFoQk30gGoHyvC+pL8fwtK9E3FvyeGisdeGF/r2qAS6ygolSzQHA8E5tWdtZYY9149cZkEmA1C6rnUn6aUu1crp5bg2UzK2CzmGC3mnHpojo0VjkhihIevrEdu7oGEBCBzb97D1azCZfMrwUADI/74Ciy4OHfHFCuqW9e1oZX3h/Ad3/7XtRni7xuv7pmHjaubsXMKgfm15UpGYREUYJDIytsTald83sIveZEUcJta+bHncM0u5y496pFYYFPHatasX1vD/7qrGrN7zqyDJKEqPMZmj0qXpAe5Q61uvm1X72DbR0rU54fiqKEI6fc6B5ww1lkwYQ/gOnlDsyqdqrOt29bMx+XzK/FooZypa9rrHTglc5+1XpxYtirBBWahOA2Bv/758LfQAYAAQAASURBVC5sXN2KZpcTVU6b5pbyoihF9Q13XtaGZ3YfVx7SuveqRegecKOxKrjVZvXnzsWRPjccRRYcH/IACD59muj2m1p9jhDyMrXPOaPCgS+fDrKR/yaVNQK5/lY6rNi6/iOYDARQ5SzKm8DYidMZLKIyWtykf0aLQjc07kOFw4r7rlkCt88Pp80Cq0XA8DizSempqsSmmdVNb4GACU9yfYIMQvMp+RL9b+pzbY+MKBPbYJfZrVH3uLbsPIQff/ZcXY+TSxrKHXhDGlLWsuT5REO5MYPj+z0TcFjNYVl4HFYzBjzGDCobnfDjh38M3975h388jLbp+mftirVWeVYN11Yo/2iOp9YkN56KGXAkCMK/S5L0BUEQngUQFRYhSdLlyRU7+zJ9k8FsgmokqTkkkDSVJ7Rl+3qGlWAj+e/ueGYv/ucz7bj143OUzDzyAt3wuA8bVs3Gs3uOR2VB6hn2YsuOw3hi/Xmqx43cZuxTH2mKyogUunAn3+yae8tK7D8xgoO9o/jeb99T0r5HLvKpDaam8oS61hPal8yvVRYvtT7HgvpStDeV41Pnt0AUJTx4wzI8/Mf3NZ/ATnahPtGnx9Wu10wMOomM7tTYBHz+092aBAgAfH4J/W5jDrqJ8pF8s3Hz797DTRe0wGwC2puqcH6LdnYfra2bNq5uxWOvdClBR5GBKaIooXvAnfBNSTWxxphH+91hW5VVOmzw+gP4p4/ORt/YhNKXh44PbrqgBY/+qRM3XdCSdLCzfBN5f89I1LY7c2tL8bkfv47r2xvDxiHfvmoRzmuuirrBfMfaBXhwZ3hGF60sD1azgG0dKzHgnoD1dEamI6fcONJ/JlNR5Pfa2TemGeASK6gon7NA5LJk5yWJjmm1zqUkAb988xg6VrVGBdX1uSfCrpsHb1iGgAh0Dbix54Mh/HzXMQDBBwIOnBhBpcOKf/3l27j27Jl48HQwjVz+bz67D3dd1hYVkAgAB3qGw1777e0HcNMFLfjyz/dgW0fwCbX3T45hf88IPhzyqGZoaax0JDy2T+SBApNJwPLGCmVxUJKA7Xt78IlF9ZpZVNTOxX3XLIkb6JWN7ZopMaHzPpMgJBw8m+h7R14vd6xdgP0fjqClpgSr5tYmtI1nZ98Ybn/mnag6LPcdoeX90Wfa8cDfLsXxIS++GKeudA+4ceDECG5e2QIAeOqNY7jr2X1hwXLytm3z6spwyfxa9Ax7cWfIE60dq1ohCOHbb1Y6bDhwYgR2qwnNEQ9ZxWqn5DJ8Y+0CfOu5d8M+p9cfmPIagVZburyxKm/m+j3DXlQ6bGHt61NvHEPPiDf2H1LSrCYL7t22F2sXNyjf9bN7jnNLNZ2V2iyqT8qXpGFrjr6xCRwfmsB7J0aVc3p8aMLQmSbIuNwTftVso+4Jv+7H4toeGU06Mg6rGfFOqo7bRr2Tuh0j1xzpd+P+HQfDtpG7f8dBLGooR2ttaXYLlwYVxTb8x9uH8anzW5Ttjn/850589RMLsl20tDgxPIGu/vGwHXHk3y+eoe+xiiwmNLmKo8biVrMxs0eR8Z3SmIv0JzkXiTdLevz0/96XdAkLnLw4eLB3FI+90hUWWfnYK11Y1liB5urg4lOqT2gDwUUdtcWtvlEffvT/juKmC1pQaregtaYE33pun/I04D1XLkRTpSOp4x7td2PT9v246YIWzKsrxb8k8BSfySRAEIAv/3xP2HEiXzuVwZRWhiCtJ7S3rl8Rtl3aE3/pDhtobNq+Hz/+zDm47pzodOATk/6Uz1UiZYv3FGSmBp1ERje93K6a8r+unDfdiHJFaF8pTxi1tkKTaW3ddP+OQ1h/YQu27DgcFZgi960HToxEZe2ZahbD0PHgzStb8NQbwQCJG1c0qWYsCv3McpBzkcWkOtbrHfGGjaPkrEjFVjMO9o5FZUZ5/NUu3PrkbvzH3y3H2sUNUUFMX/3VO1gyswJt00uDT8yfXpAY9Exg0BP+xLxZUM/yIAdCHzgxGjZW2bi6VblRHvm9xgpwObfZpRlUlGuZII0i2XmJ1pi2Yf0KLGqoUM6HWoCYvK1fz7AXW3d1Y/N1S9HZN4aVrdUoL7Zizf1nMsBWOmzo7HOHBSDJW/vJwT8Pv9SJL148B/UVdtVrylFkUQ1IvGPtAtSX25XAiND69+GQB7s/CA9E/Oqaedhw0Wz4AiJWz6vBooaKsO9BDmg6cGIEDRXFWNRQHveBAjWNVU7MqytT3rdj9WzlIYnQ71quS2rn4tDJUc0ACgbp5Ta1eV+84NlkqF0vdz/3LtZf2IJDvWOYPa0EzdUlca/V3hEvuvrH8fir4Wsebu9k1NaBTaevtb9/9PWYfa0oSnizO/zp4zvWLsCodxINFQ7Unx6vX718BhrKi/HeiRE0VRWHBfbKT2n/4Lqlyu/qy+2a/a/JJKi2U/dcuRAP7AxuPzro8cEiAP9xw3LsPjaEgAg8/NL7+NdPzJ/yGkGq6wO5pKHCHvUw18bVrZjO+ZXuhr0+3HBuU1jw6xcvnoNhLzMc6WlsYhLlxZawTFImE+Dx6X8ztrasSLX+1GhkgSPKZSfHJuALSGH9+JcvmZuWADqu7ZHRZGpMWO6wqPY7pcX6B9XmiuNDHtVt5D4c8hgy4AiQsO7sxqj2URCMuV1rWbF6NupSu/7X9JhvEp+/cDbuei4kKH1tG9xpGCMSZUJNqfpcpLo0ublIzJA7SZLeOP2/fwTwOoATkiT9Uf5JufQGJy8OXrrlZez9cASDHh8eevEwHtx5GA+9eBiDHl/Y4pO8sGW3Bk9HrO3BOvvG8Mr7p9DZNwZRlFBfXqz8ncxuNaHCYYXNElzYriy24u1jQ0rEv3dSxO1P74XZLGgeV+1Y/e7g3q6P/qkT7/WOat4cihTrRpJMazB1tN8d9zv+2/9+DZdueRnb952AKJ7pMLWOGxqkVWo3K5/pwZ2H8cjLnbi+vREnx3z4xjPhmaPuenYfzqopxR1rF8Q9V/Ek8p2oSfZ7IiJ1kwFJNeW/P2DMQTdRPkqlr4y1ddOymRV4Yv152NaxMixQV+5btbL2xOubtYSOVT7/kzfxyMuduHFFE/7uvEbVjEVyFovIyfGsaqfqWM9mNuGV90/h6KkxbN93Ap/939fxlyODeOHd3rBsDvJN16uXz4B3UoSzyAKzSf2zDrgn8EbXEL78iz247Zfv4F9+sQfjPhFfXTMPTa5i/PNFs9GxejbObqrEXZe3hY2HNq1bjGaXU3Wscv+O4PHVvlc5wCXy89WU2pWgom0dK1XPnRy4saKlGi3TShhspINE5yUyrXq648DJsLG52rmcXePE2sUN2LBqNtYubsDdz72L+144iPHJgDJery+3458vmo1bPz4H7gk/Kh025Rj9Hp9ys1X+3Q9+fxAmCKrX1LFBD/51zfyo+nf3c+/ia5fOV4IYQgNyhjz+qPr07e0HMD4pYsuOwxifDMBkEsK2c7xxRRMe/VMntuw4jOsffiVqjpKoyO9s6cyKmG2U2rl4ctcx3HvVoqi6etHc6qj6RLlFqy29tj3YliY7D42c32vVXVEC7t9xCL0jid0UlNvwnmGvsubx6J86Ma++XLUdSXRtILLe3f3cuxj1BvAvv9iDz5zfjM9fGMwCeNsv38F/vdSJd3tGUemwKW3GhlWzcfPKFtSc3tYF0N4eXZ5Lh269/sO/X44n169Ae1Ml7r1qEb67bhE2XDQbP9hxGJOn67MgAGsXN+A/XzyMjatbp7RGkOr6QC6Rr53Ia1brATFKndNmUe3/nDbj3iTMBpNZwFhEpocx7yTC9lnUkVr9YQ9N+ajKYcN9L4RvY3zfC+8p43g9cW2PjCZTY0KLYFLtd6wm42ZoKbKYVbeRs1nMWS5Zenh86tsde3xinL/MT+OTfnSsCp+TdaxqxYQ/oPuxiq0WJdgIOP3dPrcPxVaOxSk/CRBU+wRTkrORhGqAIAiXIZjlyAZgliAISwF8Kx+3VMuE0MXBp95Q3yIgdPFpKtuDXTy3BvdcuVDZVk2OpnzmzWNRUZby0+3yAv6JEa/qcQGoHmtGhT2sU070Kb5EnpROdvuGRKK9tY4rB2l5J0U0VDiiMjVFPgkZWp4Ph8bx8Evv4+Eb22E1C2FbmiWz1VmqWa2msv0eEZ3ROzqhUZeYdpkoV6TaV2r9XZPGVq2hfavW8VLZzlRtrLJl5yFlW6dQcl8eWvan3jiGL148Bz1DnqixZMeqVnw4PI57tx3Ate0z8PBLZ7Zeu3lli+r7C6ezEtWWFuGcpirVz2o1m6Ju8v7g9wfxlb+eiy+snoOvqmR58fpFSFIws0Fo4IXa8SO/V0A9803oWDk0Gwy3lU2/ZDNHadW3gBid0VRtK6ZH/9SpWcflbERbd3Vj7eIGmE3AN9YuwH/+4TDePj6iGSTYecqtWmee+Es3Nq6eo/o3h06O4sYVTdi6q1s55sbVreg85Y5Zn+Syyt+DVkBDw/oV8PgCSV+3od9ZZ99YzDZR7VwMenxY3liBbcwElne02lI5eDaZc6m2lvDfN7ZrZr/yTorw+BLb9kSrDW9yFePHnz0XHp8fjVVOzKoOlnUqawNy5rEf/P4g1l/YElbP7nhmL269uBV+EWF1f05NCR68YRk2/PStuNuj+/0i/tzZj11dAyiymHByxIt7f3MgrB0BgCG3D1t2hKfq7xvz4dFPt8NsElKqZ1PJep0rPtTIvv3hsBdnZ6lMRjU87lf9rofH9d+uqJAJkoBv/PrdqHr5+OfO1f1YfWPq6xOnxpi1ivLPoMenej1HZs3VA9f2yGgyNSYc8kyq1p0hj3EztAyPq3/mkXFjfma3z6+6bZ5nQv8AnFzgctqxdde7YVl3t+7qxgOfXKb7sUa96teSkbckJGM7qTEXSTY7ZaIhd98EcC6APwCAJEm7BUGYldSRCkjoAlnPsFdJL764oQyttaWqi0/xUutrBdhs61iJK5c0oLWmBD3DXpQXW/H9Fw7gvJZpYVGWlQ4bvP4AvrC6FR8MjePZPceVJ8cjj9vZN6Z6rP+4YbnSSdnMJvzguqX4zvb9yjZtodmRQm8GNVY6Yt5IApIfTCUSeKO1+NlWX6b8/ojGTYQyu3oKvrpyO65Y2gBfIIALZtcq5zHZrc7i3VzTYoSFSKJcUF1iU61LVU79n7giotSk2lcm83eiKMFhM6Nj9WwUWYJBNN/efiDs7xorHSltZ6o1VmmoLNbsy0PL3jPshQAJ0ysd+N5vD0RNmq9Y2oCrl89Qgi5Cb6Sqvb9JQPDzVDkxo8KBTesWK9vPyJ/J4wuolrm+vBhfjBgbfnv7AWy4aDYe3Bncpm7d8gYA2mMV+atSCyiSM0r0DHtRX16MtvqyqO+W28pmTqJbfgHq9U1+yCFeUHy8unr3FYtwxzPvqG6B1rfzsObWfn5RxM9eP4abLmhBkcWElmonSu1mXLG0AT3D46p/U2w1Y3wygK9fOh+VDhvOm1WFDT97C+vOnhGzPslllT/LgRMjqnVox4GTYVs6JnLdJjun0vo+G6ucyjml/JFs8GwsamsJtz/zTlQ/INddu9WExqrEsvNEBilOK7HjSP8Y/vrfg1siNrmKcfcVi5Sg2qmsDciZcryTIhrKi7Fh1WwAwYXznmEvWmtL8f/935thC+vv943hyqUN2NaxEn1jE3jkZfUgR1GU8PzenrDvI3I70C07D+GmC1pwyj2hGtxXV1aMs2pSq2epjnlySU1Zkcb4hltC6c1pM6PJVYy1ixuUG0jP7jkOh82YT+hny9iEemDX2IT+gV3TStTrj4vrE5SHiiwm1eu5yKJ/5hSu7ZHRZGpMqFVPbWmop7lCznwa+ZmT3TIoX1QUW1W3SCp3GDMLj0kAbvqrWTjl9kGUAIsp+O90rBeW2q2q11JpkVX3YxFlQlmRRXV+WVKUXHuR6KsnJUkaFsLTxjI3pYbIBbKeYS8e/VMntk1hr9V4ATZLZlZiyUzA7xdxx9o2dA+M4+aVLXjqjWMAgBtXNIUt1N9z5UI0VjrC3k9e1D7YO6r8bc+wVzlWucOKz/5VMzb/7sw+8Xde1oaZlXbUlztgNgGvHemHPyDh9mfeCQtEumR+bcwna5tdTnz/2qX40s/PDKa+f616AFOzy5lQ4E2sJ7Tl3/eNRi8WBrMg2VUzR33/t+/h7eMjsFtNYecz2f11k316PPR7yveFSKJc4LSZcdflbbjz12eywN11eRucRVykJcoVqfaVUwlg+eLFc3Drxa2YXunA/LoyzKpW3yIsVh8vqy+3o2P1bMg7KT31xjEMenyYUVms2ZdHfmaPL4Cv/2ovNqyajbufezfqpvC6s2egpCgYMNVQXoyNq2fjxQMno7K73HvVIixvrFACD0wmAZctno5FDeVh3+3RfrfquKis2KI6Dq0rs6PJVYzb1sxHY6UDnX1j6HdPqAYzLagvxflnuVBTGrzhLI/t6svteLdnNG4gUarngdJLvmYb1q/AjgMnERChZFSNFRQvj+8rHVZsXf8RTAYCqHIWhWUOHfVOYu3iBtUt0O67ZgkkSFHj9XuuXIhGlwN/PtyHh148rAQ7eHx+OGxmFJmDAUuh9emra+bB6xfx8Eudyu82rVsMm0VQzVYbWZ/CvoeKYuV9ZHLGJ7n8iVy3WgF2seZUqbaZemD2Mf3pOe9TW0vo6h9HQ4Udz224APtPjODQyTE8/moXBj0+bL5uKWZVJ34ck0lQynV8yAOvT8Q/fWw2zCagxGbB+sd3JXwdy59dKxgKCNap48PjSsDrHWsXwO2dxKBnEpUOW9TaR5PLieWNFTAJwKZ1i7H5d+8pWdPOaaqC2QT85eiAcjzgTArxmy5owUMvHlZ+JwjAk7s+iGp7kv3O1L7DbNVfvdSXF+Fbly/EN3595nv51uULUV9hzJs42eQoMuPzH52tbJMhr81xLquvxkoH2pvK8anzWzA+4YejyIIf/7kTMyPWUvUgCMCdl7VFnVMD72yTNRyzpF+xzYyNq1ujbnIXpyEokmt7ZDSZGhNarYJqPbVajNseLqwvV10/WFRfnu2ipYXZpL5t3k9uOi/LJUuPEyNe+AJS2LrOly+ZixMjXixs0PdYE/6AalZtX8CY2aPI+Ers6vPL0jQFHO0TBOEGAGZBEFoBdAD4c5JlLhjpCAqJFWATOlmKDPbpWNUKUZKiFupvf3ovljdWKgvdoihh53u9ePvYMEQJMAvA5y9swQ9f6lRuGFjNghJsJL/PXc/uw7MbLsB7vaOqTzb3DHuVTEyxnpQWRQmiJGL9hS0QpWBEqiiJ8PtFvPR+X1i5Fs0ox4VnTVO/wRAx8Y+3DYfmuaouQWOVE601JfhgcByiBDzy0vt4+/iI8tlDn9hOZauzZJ4eD/2bfF+IJMoFo14/fr6rG9+9ZgnGfX44bMHFw1s/PjfbRSOiEKn0laIo4YX9vSkFsPzg9wexdf0KLGqoUF6bSh8vihLe7RkNm+huXN2K1trg+KKxyqnZl8ufudnlxDvHhzHo8WHUO6mMkSQJyk1hp80MAULUcX7zTg/WX9iCxioH6srtWNHsgiXkSTWthXa1cdE9Vy6E1x9QHYd2D3qw5ZPL0FZfHvadN7mKVbefba4uUQIpNm3fj7WLG9BYVYwPh8bDskioBWToua0sbzToy2QSsKihAseHvAlnFoucdyyaUY7ljVUAgtlW+0YncLB3FGaT+hZIB0+OYsuOYEDR/dcvgy8QwKGTY/j+Cwcx6PHh7isW4s7LStB5yoP1j+9CpcOGT32kCZt++x4qHTalfpwY9mJ0wo8HXzwc1hbc9tTbePjGdqx/fBcef7UL6y9swZzaUiUQMfJ68ftF7OsZRu+IFz/8+7Nx56/3KvOxO9e24Wevd4WVP951Gyu7baw2MZU2c6qYfSw99Jz3aa0lVDmLlOvlaL9bCQqNdxy17Fsv7O/Fpu37ozKSRWYJSvQ6/ut5taj+dDs+HPKirsyO+3e8p6xLbFzdisdeCdYpOQhx/YUtmO2w4OuXzseXI7ZM/9qv3sH6C1uwZcdhtDeVo2P1HHw9ZIvQjatbMRmQVNuayO1AV86uxtXLGtBY6cDyxkpd5+TZqL96mpiU8NAfDoVlZHzoD4ewrPGcbBfNcMZ9Afzwj4eV7xoAfvjHw/j2VYuyWzCDsdkEXNfeiK+cblOCQXRtKLLp37eN+8SwcypJwXP6b1fynOqJY5bMqCg2o6XagfuuWQL3hB9OuwVWU/D3euPaHhlRJsaENpMJTps57F6c02ZGkYEjXS0WE8qLrWGfubzYGrZWZiQTkwHVLdUmJo0ZFFNut+LxV4+GjY8ff/Uo7rtmie7Hml7uwO1P743KRP/Xbfpvu0uUCe4JfeaXiQYc3QLg6wAmAPwUwG8B3J3UkQpIOoJCNFPkq2zzERrss2XnIdx1WZv6Qn3vqPLe3QNuHOodi7phJafd23zdUpwaVd+DWW1BXE43/tDpxfvQRXW1mzz7eobxL794O2oRdOY/OFTLVVdmxwM7wxezHth5KCyIKlSsSaXWuTKZBCyZWYlSuxWXbnk5ZjalRLc60+MGV74vRBLlAq8/gFXz6sIWDztWtWLCb8xBN1EhiZcJJzSjo9q4ZnwyENY3p7KdqVoZ7t9xCM/fslJ573iB2HJQTseqVvzs9W7Vm7gBUcL9L0Y/sXT/9cvw9vFhJfhi+8aVEKVg0E5NaXC7mw0/fUt1oT10XFRsNeO1zn48sPNQ1NM737q8DQMeHyYDIroHPWGft6t/HOsf36Wa3fNov1v1pnTo+FUtIEOvbWUL5UZDpoOqkpn/aM07zqouwf4To9i0fT++fMk8mE0mLJtZgSZXMbr6x5W/D80Y1NU/jo1b31KCCWR3PLMXP7npPCVjydXLZyhP9/UMe5XtzeTFRrW2wGoWlCwsdWV2BETg5KgXgoCwz+b3i3h6z/GoByGGPZMY8Ezihy8dxtrFDcqDC3arCXVldnT2jWmeHz0D7NKN2cfSR695X7wHopI5TmTQqNkELG+sxP/86X3VjGRylqBfvnlMWezuG52I2SaJooTfHugNy3B0x9oFuGRBHdoayvHln7+tZGKWj+OwmXH4pFtzCyQ52+B5LdOUYKPQMn7vmiWa2yfWl9txbfsMzKkpRXXJmUxsnJOHO9rvRlf/uJIRKvT3rbWlWSqVMU0GRNVx1GRAjP/HlLCewQl843TWFCDYXnzj1/vw2GfPxcxKfev+2IRftf6407B9WyHjmCUzvJNA18B42A4Jt358DqZX6J8djGt7ZESZmMufHPXhP//YqYzPAyLwn3/sxLcub9P1OLnkaL8bt/zsrajx/lR2pcllziKL6pZqziQzluQLj8+vOj72+PQfSzVVOXDLqtaoNaCmKv37OaJM8PoDqvUn2fFUoq3L30iS9HUEg44AAIIgXAvg50kdrYDovQCltYifSLBPfYX6DZp3jo/gC1t3Y/N1S1FdYlNNsfffn2rHto6VaHY58ZejA6rvY7eaw35XX27H1ctnoLGyGBtWzcaze46HLaqrbblmtwqqC4Mj3knVci1sKFedjGstwsebVMY6V4lkrErkNYVyg4soH5QUWaNuiGzZeQiPfY6R6ET5LtaN+maXU+mLb17ZklAAS6J9fOiCUL97QrUMfWNenFUTf2wYOm55/NUuXL18Biwm4Cc3nYfJgIiaUjvMJuDACfWgqVHvJH755rHTW8rZ8Wb3EL4Wkc1BK6NQ6Bj2lfdPYWQigK7+cTz+ahc2XDQbdWV2dA968IPfH8Kgx4dN6xZrZoZQG5f1jnhVb0qHjl9TPQ+JUBsTbtq+Hw0Vdnh8AUNkPMrWmDPR+U/vyITq+H7xjHIlGO1ffrEHlQ4b/KKIL148FyeGx/HjV4KZvUK3VpL/XozY7Ns7KeJESFsgCOpBRctmVsBRZMEjL0dvg1ZbZleyjUV+nw/esAyzXCU4OeqFzWzCAyrZZL97zRLc/fx+AIDZdOZ9H7xhWdxtBPUKsMuEfAqOKlR6PhClFTR6x9oFGPVOql4LRRZT2DZnj7zcGbNNOtrvjtre7O7n3sWGi2bDYjZh0OMLe73dasL0Cge+8os9mn27dLqN0GoLjg95ogJrv7tuMRbPKEezyxnWh0aWnVnzgoqtZjS5irF2cYPyVOSze46j2MptbfRWbLNwLpsBJ0cnVDMDnByb0P1YLqdNtf5UOW26H6uQccySGcPjk1E7JGz+3UE88ql23Y/FtT0ymkzN5UvsZthCtk8TBMBmEQy9HWHviFe9XzdoHzDhD6iuuyxvrMhuwdIkk+Pj7kFPUskwiHKdXuOpRAOOvoro4CK135EOtBas1BbxtSZLcqcZTJVui7pBIy/UyzeZHvjbZZo3rIBiAEBtWZHq3q6VDquyqFdfbg9bTLRbTfjeNYux78NRfOnn2luu/eSm81QXBr2Tomq5vJMB1cm41iL8VAYUiSzQJvIaPklDlDsG3OoZ2wbdPo2/IKJ8EetGfWhf/NQbx6JuLqoFsMTr49UWhDatW6yalSXRzIeh47ueYa8SYP2zfzgPHzmrOuw9OlbPVoItnnrjGAY9PnQPenD18hl46MXDuLZ9hnKjFAjPOCG/b+hCe2iZHDYLyorMsFtN6Bn2YnxSxO3P7A37bm976m1sXf+RhIMjasvsmttkCQJSPg+Jihw715fbcX17I65/+FXDBITn+pjT7VPPQDLomcSXL5mnBBtFzinuvmIh5teV4p9/9mZYdhM5C0koOYtQ6HWpdo02xdpi+fQ1GPl9VjpsONQbniUsdG4jf55xn1/JjLJwejl+/o8rMK20CAER+JsHXo46Pw0h2zmmY4vudMmn4KhCphUQmGywjFbQ6N3PvauZJail2hm1zVmsNklrjaOu3I66siLVtY2jp9yafXvoFmxymSLLOOoN4JdvHsP6C1tOZ1ZzKg94RfahkVkT+VBRUEWxFZ//6Gzc9ew+5bu487I2lBdbs100w+kbVQ9sP5WGQJhCNrOyWDUzwIyKYt2PNe734/MXzsZdz4XUn7Vt8PqZ4UhPHLNkxrgvoNpGjfv0zzrEtT0ymkzN5Z02i+q4zajZb4Dg2s9n/6o5KvtaXZkx+4C+MfX28dSYMdvHkXH1h19Gxid1P1bviBfldivm1pVifMIPR5EFLx+0GjZ4jYxPr/FUzB5EEIRPALgUQIMgCFtC/lMZAM56dBS60KeWAUhrwUprsiRJUBbfvJMB5QbNwd5RvHN8JGpBvMxuVX2ffR+O4tYn92DzdUtxyfxatNaWhO1z2lpbgnm1Zcqi39XLZ0QtPh46eWbLBPl3kVmYJgMi7rlyoZKGrslVjDsva0OR2aRarmaXUzVtXWOletq6+nK76kJBogOKRJ7YjvcaPklDlDuqnDbVtqXSwScIifKVPJbqd09g07rFYVuxyDfqXzvSHxbI8/irXbjpghYsbihDa22p5o3WWH282oLQbU+9jYdvbMf6x3dpBguE3qSsdNiU7Vrm15ehvvzM+E7OHClnSPH7RVgsJoiihHd7RqO2pXJYzfjhS51Yd/YM2K0mzKkpjRmcDpxZaFe7cXrPlQvxtU/Mw72/OaCZGcIXCCQcHNHscuKcpirVNnjl7GpcvawhpfOQqMixs9rYNZeCc1KRqTFnqlk9mqqcqud/f8+oEoymdl7ueGYvnr9lJW5bM1+51ppcxbj7ikUYHvdh4+rZeHJXMOjunisXYvH0cuW6fOqNY1EPTmxatxj97uDN2Yvn1mDr+hVKVrC2+nLls0R+n6Hbs8llC53byJ+nzG6Nmn9svm4pppXaVM/PjgMncXzIq7q9oR5bdKdLPgVHUbhUgmViBY129bujgn1u/fgcBET1h4i6+t1R17UoSvAHJNU2onvAg6UzKrCmrQ5zb1mJ/SdGcLB3FI+/2oVPf6RJCY6V+3azCVg1twbDXh+ubZ8BUQJKbGZ875rFynbuoQFJgx4f5tWV4aNzajTrv1x2uT3N9QDPTPJMBpSbVkDwu7jr2X3MMpEGrhLOZTPBUWRRzQxw8fxa3Y9lNZmVYCP5WHc9tw8/+sw5uh+rkDVWOsLWnuOtJVNqKhzq9xgqHPoHoHJtj4wmU3P5Ea9fddyWjkxkuWIyIKlmX7tobk2WS5YeNaVFqu3jtJKiLJYqfUo07m+X2vXve+rL7fjsBbNw+OQoRAkwC8BnL5hl2OA1Mj69xlPxQlY/BLALwOUA3gj5/SiALyZ1JNKkttAXmQFo3ultzSIX9dUWeOV05jdd0IKtu7qxZmGdcoMGAL6wdXfUhVOr8aRgaBakbR0rsWpuLVqqS6IWvi+ZX4ut61fgg8HxqEGRKGk/xX7m+Hac01SF1poS9LsnMOTx45/+701UOmxRNwfuuXIhLCZBmSDK73f703s109YFRKguFFyyoE638xgPn6Qhyh3D45NRN0Q6VrVi2Kt/1DsRpV/kWKrJVYyHb2yH1SyEBUJE9sU9w148+qfOKe3ZrrUgZDUL2JZA5sNKhw2fv7AF/R4fDvSO4tDJUSyaUY5/v34pvv2b8G1rHn6pE5vWLcZli6er3uS8f8chbLhoNgY9Pny0NRi8IwehR44/TCHjMDk4QO09b396L55cvwI//uy5CEgiHnk5+r3GfSIumV+r+XkjA1POa65SDQo7p7kqZkCFHtvWRI6dtW6c53NAeCbGnFPJ6jGrOnr+Is875EA5reC2vjGvEogz4J7A8SFvWGDfPVcuxLy6UsyrLYPFYsKatjos2LgSvSMT8AUC2Lp+BfrHfLCYBRzoGcF3fnNACVB6YOch1Qc+Ir9PrbKFbpt29xULUWQRouYftz65G1vXr1A9PwERmtsb5rJ8Co6icKkEy8QKGm10OXFiyBO2/eeR/jG8c2xYNTvxWx8MYcTrx98srIfFYlLKdPsz7+AbaxfgW8+9G9VGLJtZgdm1pTirpgSzqp1YUF+Gj7S4YDELyrqB3LdvXN2KSqcVHw57w4Jzv3/tUmzfuBInRryYVhIMoFrWWKF67daW2WNmVuZDRWeMTahnr3NP8FlFvTltZtx5WVtUVoISm3G3QcmGU2PqmaT63RNoRamuxxrzqtefMS/rj564BUpmeHx+1fU2j0//65lre2Q0NaXqc/lpJfreP9LKROZJQyayXHG03636mY/2u9Faq2+/ngtqS2341uVt+Mavz4wXv3V5G2rLjBmQWVJkVt2dJx3bBA57JnEiYo65cXUrhl3seyg/6TWeihlwJEnSHgB7BEH4KQABwJzT/+k9SZJSrj2CIFQB2AqgGcBRANdJkjSo8roAgHdO/7NbkqTLUz1mLlNb6IvMADTgnsCBE6Oqi/ryAm/viBeTAQl3RGRHCn26VOtpjhkVDjRWOWNmQZIXzSIXvkVRwgv7e3Hrk7tx88qWqEGRWVC/0SXfAAt9unhRQwXeOT6Ef/q/4BYFPcNePPZKF9Zf2ILWmlIcODGKB3Yewp2XtYW9n/z0/8HeUQCIWig8Oaq+ENg35sVZNalPKpO58cWnf4lyR3mxFVt3dYctNG3d1Y3vrVuS7aIRUQoix1Jd/eNY//iuqECiWH1xqsEsWsEdtWX2hDIffuojTfBMBqImqufNqsKXLpmHr0RsQ3PbU29jUUO55k1OX0DExtWtODk6gWmlRZhR6VD9zAvqS3H+Wa6wG6xa7+mZDGBFSzVEUYoKFOpY1Yo7nnkHP/rMuZrb9agFpvzNwnosaihPOEAhVoALgITPXWRwRLHVEpaJUz5/+RwQnokx51SyeoSeg8h5h7wd0oQ/oLnQKooSRr2TODXmQ2ffGCodNvQMe5UAuW0dK5XgBQB4t2dUCe6LzDgkBzHc/vTesLlX6GeJClLTmNv81VnVWHA6Q5koSdhxoE+1Pg24fXjwhmWqW7Lla6BCvgRHUbhUgmVMJgHnNVfh365ahK+f3mpMvoa//8IB3LZmPpY3Vipt8KxqJ1prStBQ6cA3njmzBnHn2ja8sK8HAPC7/b2YU1uKWdVO9I540dU/DldJkZJZWZKAx18NZiBy2oJLWJHbf77WeQqPvdIVNrZ/7JUuLG+sjGqrvvTz3Xj+lpVY0XJmi9LmavXP21jpiJlZmQ8VnaGVva6xiusdenP7AjALEu67ZgncPj+cNgs8vkm4J417kzAbakrUMwNUO/XPDFDpzFxGmEIm9zFyRkpZPo69cpnFbFJdb7v3qkW6H4tre2Q0FjNUg4otOsdMlBVbVPudsmLjbqlmt5pVP7PdasyA7WGvH0/u6sZ3r1mCcZ8fDpsFP/5zJ+bVGy+4CgDGJwNwWM1hu/M4rGZ40zA+HvZOqia3aJtepvuxiDKh0qE+nrrvmuTGU4n2IOcDeAzB4CABwExBED4tSdJLSR3tjH8FsEOSpO8IgvCvp/99m8rrxiVJWpriMfKG1kJfaAYgq9kUc1Ff/hFFCT/6zLmaN2/iPc0RKwuS1qJZ6A0H+SZBaCScy2nDd9ctxldCbk5tWrcY0yvsOG9WVVSAlCXiSfOeYS+27DiMTesWKZNCZ9GZQVF9uR03rmgKO2bkE9bpWAhM9sluPv1LlDskBPBPH5uNO0Oi/O+6vA0SxPh/TEQ5J9Gbplp9MYCUs7WkGtwhj01mVDrwLxFBRffvOIRHP92OwydHNT+X1thmdk0pvr1tPwY9Pqy/sAXz6so0sw9F3mCNN14ymQRMr7CHjSPlQBGthXqtwJRtIWPYRGi9z4KNK5WAkkTPXWhwhChKhgsIz8SYc6pZPbSyr/YMe7F1Vzfuv34ZasrsuDskw8nG1a0wm4Cn9xwPu/kfmhk2sgyh1028rdBCtxkMfZ/I77PudDBhZODdV57aowTedfaNaQYmvfXBEObVleEXn/8IXni3FwHxTD0q1EAFyo5U58jHhsexZcdB3HRBC4osJjRXBzMbbfnkMixqqAhra0wmAQERSrARcGarIK1gWLvVhCOnxmC3mKOesPMFAqrz8DvWLoDNIoTdRLZbTXD71LOG7D8xglnV8dvF7kFPzMzKfKjojKYq9Yfbmqq4VZHehscn8YPfH8bVy2co47FfvnkMd13Wlu2iGcr4ZED1Sfl03Ljy+v345mVt+GbIDeZvXtYGX4BBZHpikGhm2C1mfPKcxqi6Y9c7YgJc2yPj6R2ZwA//eDhszeWHfzyM2dOWoMmlX2Ck2STg1o/PUbYYs1uDWyGbDXyfqsppVe3Xqwwa3NvvnsCqeXXKQ4zyfGrA7ct20dLC5SzC//z5iJKZNiAC//PnI/jRZ/Tf3tk7qb5leOTviPKF3WLGP39sdlRGtOIkAzITDTjaDOASSZLeAwBBEOYA+BmAs5M62hlXAPjY6f//YwB/gHrAUUHQmvDIGYA2X7cUHo00hydHvapbrcV6mj7e0xzJLpqF3nDoGfbi8VeDTxY2VhWje2Ac//nHTjzwt0ujbnQd7Xfj0kdfjrpx9H83naf6fRSffprRbjWhtvTMFnBXL5+hLESGvk/oE9ZTXQhUy3qQypPdfPqXKDeIogk/D4nyL7ZZ8NifO/GlS+Zlu2hElIJkFo/V+uLOvjFdsrVEBjF19o1pZt2RxyZj3kn1TEV+UXPbmmkldggA7rlyEW5/OjzDxLe37VcyVIoSNIN71MY2iYyXXM4iPPqnxDMC6bXdjNb79I5MpHzuAOMGhKd7zKnXDRu1a27j6jkY9Pjw4M7DUdlKFjWUR938Dw0asltNKLaaIYpSVNYura3QBOHM3Evts0TWlcYqJ/rGJmIG3jW7nFg0ozxqEVcOjhr0+PD8LSsxr66MgQqUNanOkbXWFH5y0zk4csqtBMXGy5534MRIVNv9/C0rsfm6pXjvxAie3n086gm7vzprGY6cip6H3/3cu1GfZdO6xZpZdw72jmJBfVncNjJeH2bUPiQV3Kooc0rtFtgsZ64xQQBsFgEldmM+oZ8t3YMe1cxpTS4HFs6o0PVYZsGM/4y4wfyffzyM71y9WNfjFDoGiWbGgMcHl8ManoVtYhIDHv1vcktc2yODGR6fVB1nD43ru1XTgNuH5/Z8GJb95r9feh9NLuMGijusFjht4RlwnDYzHDZjZnWyWyxR90y37DyEH33mnCyXLD2aXU7csXYB3j42DFECLCbgjrUL0tLHz6pWn2POquZ4gvJTv8cXlhFNHk91rJ4T/49DJNqaWuVgIwCQJOmgIAhTCf2slSSp5/T/PwGgVuN1dkEQdgHwA/iOJElPT+GYOUttwrNp3WI0VNixbnkDml1OHOkbU23ErCYTnn37w7AnbGM91Z3IzYFkF80i37Nn2ItH/9QZtvBf5SyKuumhtXgnQop6Mu7Oy9rwyEvvK5+vscoZtgVcvBtZU1kI1MpkNK3UpssNNCLKvDGvH7u6hrGr662o3xNR/pnq4rFe2Vrk1ya6/dfc2lJ4fH7NLUiaqhxRW5htvm4pjvSPYcNP30Klw4b1F7ZgTm0pDvaOhm2HKwdQqH2OWOWLN15K5rsWRQn+gJR0YIpaMJTWGFYre4XaudPaNo8B4cnT64aNPEafe8tK7D8xgoO9o/jeb9/Dde0zMOjxRWUrGfSoB+jJQUMdq1rR8cRbuG3NfKxpq4u6btSuIZMA3HPlQjyw85Dyu9CtFtXqyoL60piBdyaTgAvPmgbfpIj7rlmCA72jYYFJANA35mWgAmWdzSKELbqbBCgBe1rU2uMmVzG6BsZx82NvhK1pTK+ww2FT37IhEPEAqHdSVOrFgvpSNLmc+FrItm13rF2A1470o6HSodoOdPaN4aYLWmA2Ae1NVTi/xQWTScC9Vy0Kex858O/8s1wx2/1E+zD2IUHcqihz7FYTPv/R2VHbrditpvh/TAlzlRSpjkXSsaWa1g3mYZ1vMBc6BolmRl25HUdOufGNZ89kKr3143Mwf3q57sca5doeGUyZXX2LzTK7vll4ZlQW4xOL6sOy32xc3YoZFcW6HieXnBjx4j//2KlkiAyIwH/+sROttaWYZcCx6qhXfa2M7ePUzXI5VTO7zmIAM+WpiUlRdTyVbNauRAOO3hAE4REAPzn9778DsCvWHwiC8HsAdSr/6euh/5AkSRIEQVJ5HQA0SZJ0XBCEFgA7BUF4R5Kk9zWOtx7AegBobGyMVbSs0rrREW/CM+5XT+U7EQgoN6GA+E91J3pzIJlFs8bK6NTZd17Whp+91hXz5oPDZkGTq1hJcwcAz+45jiKzCdNKbWFPQjiKTPjGZQtQ5SxSvhtRDF42lQ5bQjeyUl0I1MpktHX9CkOk4s2XukOkpwqn+gSuIok0qqw7RKnTu/5MdfFY7/T6WmOHubesxHu94dt/PXjDMnz/2qX40s/P/O7eqxbBbAp+rssWT8eihnLlc5kEYM39wQyR8razTa5irL/wLAyefmo09Iaq2ueIlaVRHrOZTQJGvZN47Uh/VHBOot/10X43bn/mnajtdjetW6wZmKIV4HHJ/FrVMaxW9orIz5zsVri5Klf6Hj1v2Mh/8+Wfn9la8Mldx6LmPneubYPdYlI938tnVuCmC1qUgJ5bn9wN12fPRW3ZmayoT70R/Z73XrUIyxsrMKPCgeWNlWGfRRQl7D42pFpX5CwsWnMqUZTw6tEB3PrzPbh5ZQseeVk9OImBCpmVK/UnVxztd2PDT9+KujYfvrEdF8yu1qzPamsKt62ZH1VXbnvqbXzvmiX48Z87o9YL7r5iIR588VDY+4bWi+bqEjRWOTF7mhMHT46he8CDB3cexqDHhx9cv1S1HVg5uxoDHh8cNgtqy4qUPmt5Y4USVCUH/g16fHH7+O4BN/b3DOOOtQvCtneM1YcZVSJ1p6ZUfSw1rSS/1kfygSgKSrARcHqbwmf34Sc3nZflkhmL02rGnZe1RQV2FduSyySVSP2pLlFf16x22lL/AKSKY6/0kyRJyfAJBNuozb87iCf/cUVS75NI3alwTH1tjyiX1JYVqW51VluWeLBrInXHH5Cithu/f8chnH+Wa+ofIkc5bBbVQGJHkv16vphWqj62cJUYc2zRPeDGod4xPPxSZ9j989nTStBcnXifn0j9OdrvxhOvd4VlCPvxnzuxdEYFZteW6vJ5iDKpSuNeaWWS46lEA44+D+CfAXSc/vfLAP4j1h9IknSx1n8TBKFXEIR6SZJ6BEGoB3BS4z2On/7fTkEQ/gBgGQDVgCNJkh4G8DAAtLe3awUwZVW8Gx2xJjzHBsdVU/n+a/k8zae61bZaS/TmgFZglNrv1VJn//CPh/HddUswrbRI8+aDKIn4/IWzcddz+8JuJEgS8I+Pvxl1cW8LCaIK/S4rHbaomwd6psTVynrg8QUMkYo3H+oOkd5GJyajboB3rGrFmC/xJwhZd4hSl476M5XF48ZKB/79+qV4t2cEogSYBWDRjPKU+3StscN7vSN478QoKh029AwHX7Php29h+8aVeD4iw8ugx6eME0M/1yvvn4p6767+cYx6J/H4585F7+iEku1Ifo/Iz6G9PZkXB06MYtP2/bi+vTGsjQwds5pMgvKevSPBbC1q4z0524G83a48TmyosGveyNYKhtrWsVJz67pExmOpbIWbi3Kp79Hzhk3XgDvsmuwZ9uKxV7rwHzcsx5sfDAXnFy8dxk1/NQt3rm0Lmz9864qF+PffH8Tbx0cAAPXldly9fAaOnnLjz++fwvKmCjx/y0r0jXlRV2bHmrY6nBydgNvnR9PprKmRn8XvF/H0nuPoHvCo1pV42YmO9ruxq2sA3kkRT71xLGrMke45g9ZcrtBls/7odU70PLdafcGurgHMqCyOuU34mrY6uD57Ll4+fAqSBBw+Oab6XodOjmLVvDo88XoXtq5fgfHJAKaV2GExAxtNc8IyD0XWC5NJwPikGLaNIgB85zf78e2rFuGrIX/7/WuXos89oQRQhfZbjVXOpLcvFEUJb3YPYfPvDynZBBsrHTgx4kVDRTCAJta2qUaTSN0xm6B6g8zMpDu6OzU2oVrf+scmslQiYzo55oXTKuDhG8/GoHsSlU4rhtwTODXmTep9Eqk/FlN0pvd7rlwIi5nLDJR/PhxSH198OOTF4hmJv08idWfYq762N+xldjDKT9PLilFXbg/LQFpXbsf0ssQzDyVSd2JtWW9UvkBAtb2YjEy7ahCTgQD+7cpF+PrTZ+ZM/3blIvjFQLaLlha9IxOqQXTLGyuTCjhKpP4cH/Jg1by6sAxhHatacXzIw4AjyksjGuOp0YnkxlNxA44EQTAD2CNJ0jwAm1Msb6RfA/g0gO+c/t9nVI5bCcAjSdKEIAjVAP4KwHd1On5WTOVGR315sWoErlaWjroye8rBTbGeLH9hf6/q1mJqqX8lSDE/l0kQgjcOTt+AAoI3Eu69apFmEJX8fqHfpXxDYv2FLVg2swJNLqeuC35aWQ9qy+w4b5YrY6l4eeOASD/lRTbsPHAiGIk+4YejKBiJft6sBdkuGhFlmChK+MOhk+ge8IQ9CfP9a5em/J5aY4d9H47i0T91KtmH5KCjEyPBcURohhcAquNErff2+AJwlRTh7KYqLKgvw/lnuTTHJvXldnSsno3TySLx1BvHMOjxwWEz47P/+xfcdEGLMsmQgzcOnBhBQ0UxFjUEU+Enki1ILmvPsFcZJ9qtJqxb3qD53cXb3k5tDJtIMP1Ut82j9HKqbLlkswgwm4PnURAAn1/CyTEfXn2/Dz+56Tz0j02grtyOCocV33hmL4DgtX3jiqawSfLG1a1oqnJiRUt1wpmu9vUM4/an9+LmlS2aGbRizan63RNorSlV6tn2vT3KVk+r59Zg0YyKtM4ZjJDNy0j0Oid6n1ut/iQgam+DFTonddgseHbPcXT1j2PDqtma77Xl9MNJ45MBrGipVv77zEonls6siNl2q22b6fNLsJhNYTdizCYoWYiAYBbkAydGYLea0Oxy4pL5tdiWxLz9aL9bCYaSswnarcFjVjqKWMdU9I1NoCjivBSZTegbm0hqkZ/iq3LaVLOFVzIbjq5qSu34cMiLw6cGgw8knAKmlRahpUb/G0mCYEaFw4qHbzwbA+5JVDmt8AVEBJfkifLLtJIi9YxdJfpvR1hZrL62dy7X9ihP7e8dwVd+8XZU/Wla78CSmZW6Hae6pEh1LGHU7DcA4HIWYeuu7rCH4bbu6saahWqb9OQ/q9kMkwnh22ebgr83IrV5YzBphP5byNks5rBrCQheS9+5erHuxyLKhPJim2r7uDnJeyNxA44kSQoIgvCeIAiNkiR1p1rgCN8B8KQgCDcB6AJwHQAIgtAO4POSJN0MYD6A/xIEQQRgAvAdSZLe1en4aacWHDKVGx0VDkt0Kt+1bfjfPx1RfWI2ICLp4Ca5zH2jE5pbiOm5tZgvIEY9Pd+xqhWSJMV9v8jvUl4EfGL9ebrfNIq1DV2mUvHyxgGRvqwWAde2N4ZFot91eRusFtYnokJztN+Nt48NK8FGQHCM86Wf78b8+tSy36iNHeQgI++kiC07D2HDRbNx3wsHlTFOouNEtffeuLoVrbUlCY1NRFHCuz2jUWmGW2tL4AuI8E6KEAQowUahwRsPv9SJzdctxYL60oTGmYlu5Rsq0e3t1Mbasc6V3tvmkb5qy4rCMpY2uYrx+Y/Oxj8+/kbYdWoWgM9dcBaWN1YqY2BRlJTr7OrlM5TrFTjzVFt7UyVECZrznMhrVw4GTCU7kShK+HDIq2x7Ldf/rbu6sf7Cs1DusKZ1/G6UbF5GMpVzEh7gY074fRJ5WKXZ5cSmdYtVr1W1wFC1Oek9Vy7EAzsPqW5ZGNrvmU1IactztW0zr22fgX/5xZ6o9vymC1rw0IuHVQMPQzMGJkKrT55TWxrM5MM6FkWAgG9vPxB1XrjNl/68k37VbOETfv1vqBQyh9WMUa8/aszssOp/o06UJPSN+qK2b3MxiIzykMkE3HV5G+789Znr+a7L22BJQ8Y7rbU9G9f2KE/J89BQ3kkRJ4a9WDJTv+PYzCb808dmR9XTIgOnpmx2OXHH2gV4+9gwRAmwmIA71i7Iu91KEuWdFPHVX74TNTb/0WfOyWKp0qepyqkaRNdYpf/59fkDqve1fX5jZo8i47MIAj7/0dlRcxFLkmuXiW6pVglgnyAIrwNwy7+UJOnypI525u/6AaxW+f0uADef/v9/BrAolffPNq3gkAX1pSnf6PhwyIufvRbcF3JiMoD6cjuOnhpD24wKWEzAI59uh1kQUF9uR0AEDp0cTSq4KbTMN69sUf1brQFPqluL2cymqBsCW3YewtZ/WBH3/TJ50yjRbejSiTcOiPTlnggokyogWKfu/PU+ww66iQpVIjdce0e8ECVMKfuN2nHkscPB3lG8c3xEyWgkv3ddmR1NrmLctma+MsZJZGwjj0vm3rIS3QNuOGwW1JYVKdtCxaM2prh/xyE8f8tKCELwmPKx1YI3bn1yN3782XMT+r5SGUMlEqSUSiB2KsFPlDmNVU601pYoT9/Nqy3Fl0MCCuTr9Mn1K7CwITw7UOh1duDEiPoC7YgXN/7P65rznN6R8Gu3vrxYyc4lbwloNgHtTZXwxUm5frTfrQRwyO+/ZechPHxjO+777QGcNc2Z1mwfzOaVe1I9J5FtXcfq2Qm9T6JtpMkk4G8W1qPSYcOurgEExOBTbKH9Uii1/uP2p/cqW6XVldlxfosLO947iYAIpd+zW01ob6pKqb2dVR3dds+pKVX9HuT7I1p9VzJzZ631hsbKYvRpbGdV6HVswK3+vQy4fVkqkXHZzGYl2AgIfs93Pce5rN76xnyaW3O01Oh7LO+kqCzwh/6b55TyUZXTpmQFlLNq2K2mtGRh49oeGc30imLVMWh9ub73vMZ8ftW687+fNXbd8fmlsEDizdctzXaR0qbf7SuosXlTlQMbLmrFHc+c2Z727isWoqnKofuxKoptqve1n/iHFbofiygThryT+OEfD4dlOPrhHw/j7isWJvU+iQYc3ZF8EQuXVnDI87esTPlGR22ZHQdPjqHjZ2+hvtyOz5zfjB/8/mDY+4RueRYr/X8iZVb72yqHTdetxTy+gHoA02Qg7s2pTN80ylQmIy28cUCkr4ECG3QTFaJEb7jWltlhFhIL9kn2OHIf/YWtu6Peu3vQgy2fXIZFp4MnkhnbmEwCzqopwVk1yY8BtMYUfWNenNvswubrlmLT9v3oWNUKr19jrObzJ/x9xRpDaQWExRsHphKInQsB5BQu8vx/rLUGLdUlODnqjTlPUDtn8nUmSep1+dDJsZjznMmABFGUlPduqy/DPVcuxO1P70XPsBeP/qkTd65tw32/fQ8HT45hW4xrTauO7f5gCAdPjqU9qxazeeWemlL1czKtJPY5iWzrRI3rO/LcJtNGWiwmXDC7GjMqi3Fy1It1yxs020atazt0qzRRlHB82BvWl21atxjnt7hgMglJbxOu1nZr1fP2pirYrSYlS19kOZOZO2tlKrzlibdw68fnoslVjK7+8bDjF3odqy1Tv0FWW6b/FjqFbmxCfcsI9wQzHOlpxDup+j2PjE/qfiyuT5CRDLkncdtT0Vk1tv7DCjS59D0W6w4ZTYnNHJU1dOPqVpQUJXobNzEDY4VXdwrtgf76cvU5aF2ZMecsXQMeJdgICJ7fO57Zi+WNlSmtncbimVRfrxqfZIYjyk/eyQC6+sfx0IuHI34f+4HLSDF7KkEQ7AA+D2A2gHcAPCpJEmewccS6kZPqjY7QBa+rl89Qgo3k947c8iwy/X+Tqxh3X7EIvSNe5f1CjxtaZrWtAzaubsU9z78bNeCZytZiWovhtWX2uO9XaDeNeOOASF/TStX3lJ+Whj3liSg7El1MaHY5sWhGueYYZ6rHaax04D///my81T0IUQqm9L2+vRGPv9qF889yKWOXTI1tYo0plDLUlWLAPQEBQthWc/JrG6umHvgdLyAs1jgw1UDsbAeQ0xnxAvU6+8ZSGvuqZUO558pF+P4L7wFQn+d0rGrFHc+8gx995lzl2rBYTLhySQMaKx040u9Gsc2CR156H28fHwGAmNeaVh3ziyI2X7cUjZUOdPaNJRxwkSxm88o9ZhNUbxzE27Egsq1LdIu/ZNvIRNvGROaksfqyVLLTqQUoAVC9xs9vcWFbx0r0jU3gkZej+65k5s7y52hYvwI7DoRnbLrtqbfx8I3tWP/4LtaxEKGBmmfa34Voqy/PdtEMx1lkUa2LTp1vRha6ErtFdWuOErv+33Ntmfr6BAP2KB/1jHhR6bDh6uUzlLrz1BvH0DPixRKdj6VVd2pKWXcoPx0d8OCxV7rCskw89koX5tWVoqWmVLfjNFQ6VOvO9PJi3Y6RawrtgX6X04Y7L2uL3q61xJjbtXYNuFXPb/eAW/eAo1j3tYnyUYXDqnpNlxcnN++J9+ofA5gE8DKATwBYAGBjckUtPPFu5KRyo8NkEnDJ/FpsXb8CHwyO4+aVLcHBesjWHKFbnoWm/29vKseINxC1IBa6sBdaZvlv11/YgkUN5Xjn+DAeeyW4uNY35sP6C1uwbGYFmlzOhBfI1RYKp7oYXkg3jXjjgEhfNrOA765bhMN9bogSYBaAs6Y5uc87kYEkuphgMglYNbcWs6eVYHljJTw+PxqrnJhVndgYJ9Zxml1OJfuk3H/fsXYBtr7ejUGPT3W7tHSPbeKNKULLIIqS6mtnVQe/H63gqEQyWEzl6bJkArGTzaZB6SeKEt45PoQDJ0bC5jSh5z/Vsa9asMOg24dBz5knNUVJwl2Xt2FaSRHe6x1V5jmRbYPFYkJ1aRE+9aPXkwpcUCv7vVctwvLGCsyocES1CfECLpJVaA9m5IOeYa/qjYNljRUxt9eLbOt6hr3Yuqtb2cJM69ym62GVROulVl+WbLsfK0BJ6xrXaj8evGEZJAl45f1TCfcFJpMAjy+ALTuin/KzmgVs61iJAfcErGYTPL4Ajva7C7quyYGarTUlODHsRV25HW315bBY4kTWUdLMZuDOtfPRMzKhzGXryopg4letK4fFjM9/dHbUjTqH1az7scYn/di0bhHeD1mfaJnmhHeSz/xS/qkvs+NTH2mKCrROR1YNURJV1/YkJPdEPlGucNosGPT4wrJM2K0mOGz6BrtWOi246/I2ZVs1u9WEuy5vQ1WJVdfj5JLaMrtqILFRH+jvGfbiZ6914bvXLMG4z688RDWr2pHWLd6zxWlTDxTXu+4AQGOlA9+7ZjEOnRxT+p7ZNcEHTonykSQBX/vEPNz7mwNKn/C1T8yDlOT7xKttCyRJWgQAgiA8CuD1lEpbYNIRHCKKUtjidJOrGHesXYDDJ8fgC4h4ds9x1JcXRy1IPvqnTlyyYAX+v/97NebCXmSZBz0+zKsrQ4XDGrbA1jPsxZYdh/HE+vMSuhkmihK6B9x4s3sIX/vVOwkvFEa+R6HfKOKNAyJ9CRAw4J4M27f5X9fMQ1MV6xRRPlIbKyRzw9VkEtBcXYLm6hLlvV470p/QuCPWcdRurt793LtYf2ELPv+x2VFjw0yMeZIZU8R7rdoN5UQzWEzl6bJEx9qpZNOg9FI7Jx2rWpXMIfL517r2AMTNDhQZ7HBUGMPG1a144i/duL69MSq7EaDdNqQyr4tVbzr7xuIGXCTbDmi9vlAezMgHtWV21RsH8Ra31a6/29bMV7biTObv9HhYZapz0tB2v77crmQ+6BubSCkwVesajyxnXZkd+z4cxd888HLSfYFaH9/kKobDZkbviBf+gIQvPbMHXf3j7GMQDDpaMrMSS2ZmuyTG5rBYYLWYw+ay91y5EE4rMxzpSRCAH/7xsBIsCgT//cAnl+l+rOqSIpwY9oWd07uvWAgXMzBTHpoURTzxl+6wuvPEX7pxTnOl7seymsyqa3u86Uv5qrasSDUzqt4Z73qGJvAffzgc9kDEf/zhMJpdS9BYZcw5ZGOlA7esao3KxmnU9qK2zI5h7yTeOzGqtMXD3knDBljVlRfhCxfPwZFTZwJQv3DxHNSV6z+WOjbkQc+wN6zvufXjc3BsyGPIYC4yPofVjBlVxXj4xrMx4J5EldMKvygm/aBFvNmosjG1JEl+QSjMRZNkpSM4JHSxrb7cjuvbGyO2CliI+bWlqguLHp/6npKhN3S0yny0353y05HyDYUDJ0bCtuNIdKEw9D1CP9OmdYsxvcIOl7MoLD270YOSeOOASD/j/gC+s/1AWLv0ne0H8L+fPSfLJSOiZGkFlVwyvzbhG67yOKLfPYEPh4LbpSR6U1K+sbtp+36sXdwAswk4p6kKjZUO/KVrQHUMtmxmBT46pybsPfUOjok1NkpmTJHs+CPRDBZTycCR6Fh7KlmUKD3UzsmWnYdw0wUtePRPnVFbM4Vee6nWkcYqJxZML8XdVyzE+sffiDr2+gtbMK+uTLVtSHVep1VvtALteke8SlaxZD4jg+ryg54ZuxorHXHnvel8WGUqc1K53a902HDjiiYl+O+Rlzt1CUz1+0Xs6xlGz7AX9eXFaKsvQ8u0Erx/cgxf+nl0XzD3lpVx0+tHnrsmVzFuWdWK6x9+VTVokn0MZYIvICo3y4DgNX3703vx05vPy3LJjGUiIKoGKk8E9M+c4puUcMcz4ef0jmf2Yus/rND9WETpNj4ZUK073smA7seaCIhc2yNDaaxyorW2BOsvbIEoASYBaK0tQWOVvrtcuH1+dPWPhz0QAQAen3Ez63UNeFTHT8tmVuq+5VYuKLQAK1EETkQEAW1c3QoxDQnvekcmsPl3B8Oupc2/O4glM2JnMCbKVTargN4RX1Rm1+kVyQUoxgs4WiIIwsjp/y8AKD79bwGAJElSWfJFLwx6B4eELrZdvXyGMmgHznSOyxsrpxQ0pFbmqTwdKd9QuHllS8yF9UTeI/Sz3vbU28pNCfmGYrq3JiAiYxnyTKq2S8Me406siIxKK6hkW8fKhDMpyjfs5fFFMgEq8ra3kwExKlBpbm2p6hisKc3BMdkMQkj0BnEmttadShYlSg+tc1KcwPmfSh1xT4g4cGIk4QDAUHrO67QC7SYDkhIkmMxnZFBdfphKAFDkNpeJtu25+LCK3O4fODEStZ4x1cBUv1/E03uORy2oX7mkAV0DbtW63z3gjntzIfLcFVvNSrCR/D5y0ORDLx5mH0MZ0Ts6oTG+mchSiYzJZjJFtVVbdh5KSxDQhxrjo54RL5bofjSi9CotsqrWnSfSUHe4tkdGYzIJWDW3Fi3VJWnd5WJmpUN1nD3DoMEoAKY0J8hHhRZgdXJ0QskMBgQ/7/07DmF5YyVm6Tw3c0/4Va8l9wT7HspPQx6/EmwEBK/nu57dl3QAd8wdviVJMkuSVHb6p1SSJEvI/2ewUQbJi21AMK2v1s0TeWFxRUu1sh2BvLAn/30yN3TkBbZtHSvxxPrzlJt3iQxyQm8oyMeWBfeejZ+OS+umhPwd3PrkbuzrGVZdaD/a7477/kRUmBw2s2q7VGyL2S0SUQ6KFVSiNi6KFHrDPtYYK5buQY8SbCT/za1P7obZhITHYLE+R7K0ghAyMTYKHbPKtALdUx1j6l0WyhyHzaJ6Tla0uOKe/1TriFwfREl9TqIWAJguzS4nNq1bHNYmdKxqxR3PvKNkrUnmM+rZblB6JdIfxZPNtl0Pcru/dGZFQtdtMusY+3qGVRfU9/UMw6nR7jhsiW0/FXrutLJHy8nA2cdQJpRoXNPOIm6ppqcBj0+1vg94fLofq6SI55SM49SYelDkqTH9gyK5tkdGpMe8IZ4JfwAbV7eGjbM3rm7FhF//TGS5YqpzgnwTK8DKiNw+9SCgdGTtqnBYVa+lcodV92MRZcKpMfV5z6mx5OY9HH2lQBQldPaN4ZX3T6GzbwyiKKX9mGqLbaFiLWylckMn9DMe7Xej2eVMepAj3+R56o1j6FjVGrWwPplAGmKtG0WSBNSX23HTBS34YHCcC+1ElJSSIovqxKrEoJMMIiPTGisUW80JjdUib9inEqCiddP/xIg34TGYnsEx2QxCUBuzfv/apTAJiDof6V5Im0rQPSUn0fmRLxBQnRcAUtzzn2odkeuD2pxk07rFGU0pbjIJmF4RnMNsWDUbN13Qgsdf7UJX/zhOjnqT/ox6thvZmONScvIhwCzedSQ/EKXVb4e+PnId4/lbVmJBfSleO9If9d49wxr98LAXtWVFquP+2rKipD9frPUJ9jGUKY4is+o17bDGf6iPEqcVJJ2OG5MlNvVzWpLAg5pEuabIqh4EVJSGNopre0SpOTY4jsde6Qqblz72SheOD45nu2hpo+ecIB8UWoBVU5X6HFPv7QgBYGjchy9ePCfsWvrixXMwMq5/UDpRJtSUFmmsLSbXPhqzdUmjbG1REZrKe8A9gdaakqhtO2ItbCWTUl2vzxi6Vcbjr3Zh/YUtaKx04MSIF1t3dWPNwjpl64DekeACe2SKSLXtNjpWtWL73h7cuKIJW3Yews0rWxJOtU5EBACldhMaKorD9sRuqChGaTHjcInyjdpY4Z4rF6LjibfQ1T8edxwTumWLHJAgp4C3W02496pFMAnB8ZHWOCjWti+JjsGmusVYouXJBJtFUNpXp80MURKx5v6XM76921S2MaLEJTN3cDmLsHVXN266oAWCAEgSlHlBPKnWEbk+9Ax78firwUVVswmYXVOK779wAFazKaNbMbucRWFbNwJngi363RPYtG5xwvM8vdqNbG7DSInLdtseT6LXkdYcv+OJt3Dbmvlhr5f70MZKB57f2xNVN+TX1pcXq343deV2NFY50VpbEjbub60tSWnxWa3sm9YtRkOFHeuWN7CPoYwotZvQUBkxl60sRqmdc1k91ZUX4c7L2pTtBexWE+68rA115frfmKwus6muT1SX2XQ/FlG6VZdYVetOdYn+mR+4tkeUmvryYgx6fHjoxcPK7+Sxs1HpOSfIB/UVRbjr8jbc+eszbfFdl7ehvsKYAVZNVQ7cfcVC3PHMmS22775iIZqq9H/ArLrEjruefTdsXeunr3fhgU8u0/1YRJkwvbII37p8Ib7x6zP151uXL8T0yuTaC0GSjPfkYnt7u7Rr1660vHdn3xgu3fJy1ELWto6VCQXz6EUO1Enl5olWkI/8+77RCXz6R6/r8hlFUcKRU27sPzGCg72j+PmuYxj0+LD5uqW4ZH4tXtjfG3dBMrS8kwEJdzzzDtYublAW6uvL7UrwkZ4L5PGCofJQ3MKns+4Q5ZI3jg7g2795F586vwXjPj+KbRY89udOfPUTC3B2c5Xan8SsP6w7RJoy0veEjouKrWYl2EgWaxwTeYO0yVWMu69YhNGJSbx34szY5cEblmGWq0TJQiLf0D/a70a/ewIfDnk1b4Sm8jmmEhyTzeCBo6fG8Mu3jkNOPGG3mPDgi4ezPnbOU3nR9yQzP5rqtalWRwDEHLOrHbNjVSsef7ULPcPemGVNx1xArTz3XLkQD+w8hK7+caUNspqFhI6rR7uh1xw3h+ZPhpz3pKtt1+u8JdsWvHN8CDsOnERABH755jGlPm7fuBKiBKU8jZUO/LmzH+sf36X53n6/iKf3HFe2VZPr1ZVLGmCxmHTrX+WyHznlRveAGw6bBbVlRWisyvu1glB50fcUsrc/GMQtT7yFtYsblJscz719HA98chkWz6zMdvEM4/2TY/jcj1+P+p7/59Pn4qwa1b4x5b5nzweD6FA5p1s+uQxLeE4pzxzuHcVNj/0l6np+9FPnYHZtqdqfpFx3UljbI8p5SY7NUxq3xRs7G5Wec4Jct6d7EB1bVcYW1y/DkkbjjS0yOW470jeGne+dxPd++55Sf/7lr+di1dwazOI6J+Wh3d2DuOf5fVHjqdv/pg1L1dsL1frDDEdJipXGPJM3TZLJWBRKa5EyNPjn5pUtun1Gk0nAWTUlmFXtxIL6Mpx/lkvpzI/2u5VyyMe49cndmBexIBn6WUVRwo8+cy4O9o4qfxf6tPLihjK01pZOebAQazEXiH1Tg4hy34kRL3Z1DWNX11tRvyei/BM6Vnjl/VNhwUZA7HGMWhYckwCsuf/Mjc36cjsO9Y5hw0/fChsX2CyC8rsmVzEevrEdVrOA+nI7AiLw2pH+pMYKqY7vEvlMmRiviKKEN7uH8PBLnWFPFOXC2JnSJ5n50VSvzcg6Io/ZN23fj7WLG2A2Aec0VeEjLS5loTT0mAd7R/HO8REl2EirrOkM2ov8DiKDJLv6x7H+8V0JB/vo0W7oMcdllqT0S0fbrud5S7Yt8PgC2LLjcNjvKx02vNk9hK/96p2wDEIfDHii3rvSYUPf6IQyL7980XS01pTgxLAXdeV2tNWXh7UDevSvsvd6R3mtq8ihoEND6x2ZQFf/eFhWAvn3pJ+To17V7/nkqFfrxlXqx9I4pyd5TikP9Y2pX899YxNaAUcp49oeGU2m5lQmk4BppTbcd80SuH1+OG0WlBabDT9u03tOkMtOjk7A5z+TbEQQAJ9fwslRY44tugbcqn1P94Bb93Hb0LgPVQ5bWLasKocNw9xSjfLUh8PjquOpD4fHsRSJBygy4ChJuZ7GPB6tIJ+t61eE/V7vz6jWmaeysC2/T2QZe4a9ePRPnbo9La/1PS3YuBLv9nBxkSjf1ZYVabRzxkwrSlRIUhmrRY5TXnn/VNjfX718Bu7fcShqXLD+wjNB2nKQwPYcGStkYyHlaL9buUkMBL+nY4OevB47U3zJ1jk9r82j/W5s2r4f17c3hmU73bRuMS5bPD1qWyYA+MLW3XHLmuiDEamaSpBkOugxx033d0ZBerftep63ZK8jtddf2z4jqh+57am38b1rloS9tr7cjk99pEnJzBza1y6ZmeZMfrzWVTHoMHPKHFbVulZWrP92RYXMYbOofs8Om1n3Y1VonNMKB88p5Z9M1p0aru2RwWRqnHm0341/fPxNZqI2sOoSGz71kSZlLdNuNWHj6lZUlxhzu1anZt+jfwhEQAS+GjJnlY/1k5vO0/1YRJlQU6o+nppWktx4igFHSWp2ObH5uqVRiyhyOv9cpxXk0zN85vdPvXEMHatao7Yo0/szTmVhO93nQet76h2ZwKbt+5X9OQFg0/b9mFdXysEYUR4JiBK+9ol5OOX2QZQAswC4nDaIBtxmlKjQNLucePCGZXj72LBSvxfNKE9qjBA5RhEEqI4LxIgmQx4rFOqNSLXx05O7jkXto55PY2eKL5vzo94RL9YublDmLcCZAIVFDeVRdS7RsqYzq21kBpD68uw/0KLHOcyVTMCUHD3PW7LXkdrr59SUqq9XDHnC1iiubVcPBE62r00lIw+vdXUMxMqc0fFJfHXNPPR7zsxlqxw2jE5MZrtohuILBKLWRjtWtWIyIMb/4yT5RREbV7dG3RT0i/ofiyjdfIGAahuVjrojaq3tgWt7lJ8yNc7sHfGi0mHD1ctnKPe4nnrjWMGPZ43EMxmImi/dv+MQFn+6PcslS4/asiLVsVRtmf4BqKfGJlTr6akxY2aPIuOTANXxVPyNB8Mx4ChJ2dqiQi9aQT715cXK7+UtytZf2IJlMyvQ5HIqn1HPFNlTWdhO9DykWl6t78kXCEQ9Qd2xqhUD7gkOxojyyPhkAOOTYti2P1+8eA7GJwPZLhoR6cDnl8Lq9+brlib195FjFLOgnv0xckhht5rg9vnTukAUOrZx2CzwBQJwOYtyYjyqNn4a9PjQ3lSJbXk6dqb40jU/SmQcX1tmh9mkHhDYe3orhci/T6Ss6cpqq5UB5MEblkVt2ZjJoDw9zmG+ZwJOhBG3i9LzvCVzHcnf5bRSG7auXwGPL4DaMjskSb2/nVdfjjueeQc3XdACswmYX1c25b421Yw8hXCtp4KBWJlTV25H5yl32Fj31o/PQV2BX4N6czmLsHVXt/LAoSQBW3d1Y83COt2PNTYRwGOvdIUd67FXujB7WpvuxyJKt2klRZgIiFFtVHWST8knwquxtuf1cW2P8lOmxplyttDI4Iy6MmOPJYw4n9Pi8QVUx+Yeg7aPjVVOtNaWhG1z1lpbgsYq/ddVQu+ly4L32I1df8i4vD718dREkvdKGXCUgnze61MryKetvizs94MeH+bVleGjc2qUTlfvFNmRC5J1ZXYEROC1I/0JdfjxzsNUyqv1PZUVWaOeoN6y8xC2rl+R9OcnouypKLbhB78/GFaXf/D7g3jiH1iXifJN5IKBJGHKT9irjVHm1pVFjQtsFkGZZMq/a6pypm2BSG1s07GqFVt3deO2NfOzvm2J1vip6fSYLh/HzpQYvedHiY7jm11OnNNUpVrnJgMSLt3ysurfxytrurI2aWUAeW7DBVkPypvqOcz3TMDxGHW7KK3zZhKC24smuxCfyHWk9V2eN8sFAKrlOb/FhR995lyljmgFJmViG0CjX+upYiBW5hRZzNj8u/C57ObfHcRFGy7IcsmMpbHSgVtWteL2p89k6bznyoVorHTofqxmlxODHh8eevGw8ju71YTm6sJuVyg/+QOSahu1am6N7scq59oeGUymxpn+gKSa/ebj82t1PU4uMep8TkuLS31tcpZB5ywmk4BVc2vRUl2S9nWV+bWl+NYVC/GNkEzu37piIebXlul+LKJMKLNbdRlPMeCowMR66jDe04jpSJEtL0g2u5y6d/hTKa/W9/Hakf6kI4MLKXKaKF8w9SWRMagtGNx3zRLNJ+ybXc6E++TIm6aNVc6ocQGAqCABQP1mqR4LRGpjmy07D+GmC1pyYtuSfM8ESrkj0XG8ySTgIy0ubFq3GLc99bZS5zatW4w7nnkn5XlLuq5lrQwgB3pHsXB6GfJ5Z1ej13+jbhcVed6mldhxpH8Ma+5XD9bTQ7zvUus6Cu2TRVHK2jaARr/WU9VY6cA9Vy7MSHBGoftg0KN67R4b9KC1tjRLpTKe7kEPHjg9zpazDj2w8xCWN1bq3u5bTAJu/fgcJUhDzghjKfB2hfJTt0Yb9cGgB7N1bqO4tkdGk6lxptZYIh31NFcYdT6nZda0Enz/2qX40s/PzJe+f+1SQ35WWaYShXwwNI6HXgwfIz704iGc3ViJs2qM+/2ScQ14fKp9wqDHl9T7ZCXgSBCEawF8E8B8AOdKkrRL43VrANwPwAzgEUmSvpOxQhqYVsMbr0FOZ4rsdHT4Uy2v2veh9dRerUa6yUKLnCbKF3arWbUu263mLJaKiJKlNn44dHJUtX5PK7FPqU/WGiep/S5dC0RaYxtByJ1tS/I5EyjljmTG8RaLCZctno5FDeVKnet3T6Crfzyhv9eSjmtZay5xsHcUB3tHsWXH4byeLxi5/ht5u6jQ8/b+yTFlez/gzLx87i0rdVs8jfddJnIdZXsbQCNf66nqGlAPzlg2kwvvenPaLKrXrsPGZ0r11DviRVf/eFjWIQBpafePnHLjR//vaFj9+dH/O4rWmhLMYjtDeSaTbRTX9siIMjHOdBap11OngccSRp7PaSmyCmFbjBVZ82t9IVd19btVx4jdA27OeygvOXQau5n0LliC9gK4GsBLWi8QBMEM4CEAnwCwAMDfCoKwIDPFIzXyglwovVJkx+rwU5WO8sppLeX3jfckpVYg1dF+d8plIKKps5oFbFzdGlaXN65uhdXMgTdRPlEbPzy56xjuvWpRVF9tNqlvtZaOPlleIFrRUq3cPNWD1thG3lqG25aQUSQ7jo+scy5nUdrmLVPR7HJGtU8dq1rx813HIJ7ObsT5Qm5K51w4l3QNuFXn5d0D+l2Pen2XU+1rk53bU2xdA2cW3h/ceRgPvXgYXf3jul47FFRbVqQ6l60tK8pyyYwlk+2+3WZStlST68+gxwebJVvL9kSpy2QbxbU9otRM+APoWNUaNS/1BbR38ch3hTKfkx3td2PDT9/Clh3BscWWHYex4advcZ1BB3abSfVa4riN8pVeY7eshKxKkrQfAAQh5uDvXACHJUnqPP3aJwBcAeDdtBeQVKVzD9mpPF2YyfIm+yRlIUZOE+UDi8kEp80cFuXvtJlhMXFgSJRP1MYPgx4fljdWRG11prUtaj71yWpjm45Vrdi6q5s3SclQpjqOT+e8ZSpMJgHLGyuU8YckAY+/2oVBjy9sO7V8a5sKQa5eU3rLRFaCXPkuuTWavph1J3Maq5xorS0Jm8u21pagscpY7VG2ZbKtKjKbsXF1K+7fcUg51sbVrbBbmKWF8k8m2yiu7RGlZnq5A7c/vTcss97WXd3467Zzs120tMmVOUim8L5k+nDcRkaj19gtl2f+DQA+CPn3MQDnab1YEIT1ANYDQGNjY3pLVqDSuSCXC8FBybyvnNZSFCUc7Xejd8SL2rLo909HIJXeWHeoELlKbLBbTZhTUwr3hB9OuwWeiUm4SmwJvwfrDlHq9Ko/WuOHxiqn0l/L8qFPjid0bNM74oXDZsZkQMSahXUpjXHijWMo9xi97wm9JufWlmL7xpU4MZL8OD6XAwkaq5yYV1cW1m5tXN2Kx17pUl6Tb21TvphK/cnla0pP8pNtkYunemYliPVdZrpf4tZoiUmk7mTi2qEgk0nAx1prMK2kCD3DXtSXF6Otvsxw7VG26dXuJ1J/XCU21aCJZNYniHKFXm1UonVnqmt7REaTSN2ZVe3EbWvmR62lzao2ZvANUDjzOZkR1kCTpcdckuM2KkS6jd2k0EcpdSQIwu8B1Kn8p69LkvTM6df8AcCXJUnapfL31wBYI0nSzaf/fSOA8yRJ2hDv2O3t7dKuXVFvSTlO7hDypcMXRQnb952IGpitaatTyp3IazIo7gFZd6hQ+P0int5zHLc/vVepm/dcuRBXLmmART39Zcz6w7pDpCntfU+i44cc65Ozjt9HXiiovqeQrsnQdmtaiR1H+sew4advGf5zZxDnPSkSRQk73+vF28eGlcXTxTPKsWpubdqvx0JqA3JcSn1PNq+dQsO6krNS7ntYf8hIUmijUq47KaztERlNymsG+XYvjpJTaOPFTPY9HLeR0ehVf9IWcJSIOAFHHwHwTUmS/vr0v78KAJIkfTve+3LxkDKhs28Ml255OSpKeFvHyrAnJHNo8MaFd6LTEq2/IQrqpi+RjnKq78mhPjnrUmgHKfMKqu8p5GuSbZPucqrvyTfZuh4LuQ3IMbxxleNYV3LWlPoe1h8yCr3X2wDtusP2kKiw1gwoOYU0tshk3wMU1ndLxqdX/cnlLdX+AqBVEIRZAI4D+CSAG7JbJKIzEt0HlWnaiXIP9zEmKkzsk89gO0i5ppCvSbZNlEuydT0WchtgFGzLMoN1xZhYf8goMtlGsT0kItJWSGOLTPcHhfTdkvHpVX+ykltSEISrBEE4BuAjAJ4XBOG3p38/XRCEbQAgSZIfwAYAvwWwH8CTkiTty0Z5EyWKEjr7xvDK+6fQ2TcGUcxe9ihKP3kf1FBG3weVyChYf4moEMQam7IdpFyTj9ck539E+tGrDWC9JKPLx/4yX2WyPWHbRUaRyTaK7SEZUab6A/Y7ZCTsD4hSp1f9yUrAkSRJv5IkaYYkSUWSJNXK26ZJkvShJEmXhrxumyRJcyRJOkuSpH/LRlkTJe9xd+mWl/G3//0aLt3yMrbvO8GO2sCaXU5svm6pUhHlfQ2bXc4sl4yI4mmsdOCeKxeG1d97rlyIxkpHlktGRKSPeGNTjmMo1+TbNcn5H5G+9GgDWC+pEORbf5mvMtmesO0iI8lkG8X2kIwmU/0B+x0yGvYHRKnT616pIEnG60SysTcp9wwuTHm2V+eU9iUlMpLOvjF89n9fx9rFDRAEQJKA594+jh995tyU9vVl3SHSxL4nSxIZm+bZOKYQFVzfk0/XJOd/OY19T56aahvAeqmLgut78lE+9Zf5KoX2JOW+h20XGU2SbdSUxm1sD8lI9O572O9QIclk30NkJHrdK7Wkt5iFg3sGFybu1UmUn3pHvOjqH8dDLx4O+z3bbCIyikTGphzHUK7Jp2uS8z8i/U21DWC9pEKRT/1lvspke8K2i4wmk20U20Mykkz1B+x3yIjYHxClRq97pQw40om8x11kVHC+7hEpR4P2jnhRW8anA4jIWGrL7GhyFStRuwDw7J7jedtmExUyjlnUGW1sSpRrslHH2N4RxcYxPhUK9gfpl8l+nuN2MppMtlFsD8lIMtUfcMxMREQyvfoEBhzpRN4j8tYnd8M7KebEHpGpDrjlPVwjP8uatjoO2InIEBorHbhlVStuf3qv0s6lsi8pEWUXxyzacnFsmku4MJ1fcvF8ZbqOsb2jWHKxjmQDx/hUCNgfZEYm+3mO28lIMtlGsT0ko8lUf8Axc2HgHJGIEqFXn8CAI52YTALWtNVhXsfKnNgzeCoD7qP9buXvgGA6xVuf3I15MfZwZedFRPmka8CjdKBAsJ27/em9WDazEmfVMO0mUb5IZcySbrkyJsq1sWku4cJ0fsnV85XpOpZqe5crbRKlT67VkWxec92D6mP85Y2VTK1PhpGL41+jslkErL+wBaIEmITgv41wLKJ0ymQbdeSU+rHm3rKSa3uUlzI1x+SY2fhybY5IRLlLr3ulDDjSUS7tETmVwX2ye7iy8yKifNPV71Zt57oH3FyUIMojubbvfK6NiXJpbJpLeKMuv+Ty+cpkHUulvcu1NonSI5fqSLavuVwbFxClg9Z13jvC61xPR/vd2PDTt6K2tdmWpqAJtWM9z6AJykOZ7Iu5tkdGlIk5JsfMxseATCJKlF7jKZPeBaPcEGvQEI+8V2yoWHvFai1wHu13p1h6IqL0sttMqu2czcJukSifJDtmSTeOifLDVMbJlHk8X0GptHdskwpDLtWRbF9zuTYuIEoHh82iep07bOYslciYMtm2dg1oL/IT5ZtM9sVc2yNKDcfMxsexBRElSq/xFEdfBjWVQYO8V6z89/H2is2lBU4iokQUmc3YuLo1rJ3buLoVdgsXaYnySbJjlnTjmCg/cHEtv/B8BaXS3rFNKgy5VEeyfc3l2riAKB18gQA6VoXPZTtWtWIyIMb5S0pGJttWp2YQGTcmoPyTyb6Ya3tEqeGY2fg4tiCiROk1nmLrYlDyoCEylXkig4Zk94qVJ+GRqX/1moSLooSj/W70jnhRW5aefWuJqLC4SmxwOa2475olcPv8cNos8Pgm4SqxZbtoRJSETO1vn6h0j4n0VMjjq6mMkynzpnK+jHSdp9Le5VObRKnLpTYt0WsuXXUz18YFROngchZh54ET+O41SzDu88Nhs+DHf+7EmoV12S6aoWSyba0tK8LXPjEPp9w+iBJgFgCX04basiLdj0WUbpnsi7m2R5QajpmNj2MLIkqUXuMpBhwZlF6DBkmK/5p0TsJFUcL2fSei3ntNWx0HQESUshkVDrxhHsKXf7FHaVv+7apFmFHhyHbRiChJmdjfPlG5dNM3lnSOr/IhwIOLa/kl1fOldZ0vqC9Fz3DuXp+xJNve5UubRFOTS21as8uJB29YhrePDSsL24tmlIddc+me4+fSuIAoHRorHfjkuU34Sshc9p4rF6KxknNZPWWybZ1R4YDTbsW9vznA9QkyhEz1xVzbI0odx8zGNqPCAUeRBQ+HjC3uuXKhodvHfFiPJMpFeo2nGHBkYKkOGpJdAEznJPxov1spBxBMx37rk7sxr2MlB0NgJ0qUqq4BD77+q3fC2pav/+odLJ1RgbNq2LYQUWoyfdM31XFAusZX+RQozsW1/JLK+dK6ztdf2IItOw7rdn3m8ng8lwJRKL0SqSOZulZ9fgkPv9QZ1g+E4hyfaGq6Bjy4/em9YXXo9qf3YtnMSs5l0ySRhzGngusTRKlh3SFKXS7PY2nqugfVx4vLGysNOefKp/VIolyj13jKFP8lVGi0FgCP9rs1/0Ze4FzRUo2WaSW6NeK9I96wdOxyeU6OenV5/3wmd6KXbnkZf/vfr+HSLS9j+74TEMU0r4QQGUBXv1u1beke0G7niIgSka4xUaSpjAPSNb5KZQxJlC5a17lcRfS4PvNhPJ6pNolyW6au1UT6Ac7xiaama4Bz2UzIZB/P9Qmi1LDuEKUmH+axNDWFNufieiRR6vQaTzHgiKLkUmdUW2aH3Rp+mdqtJtSU2jNellzDTpQodXabSbVtsVnYLRJRfpjKOCBd46tcGkMSaV3noVkKpnp9cjxO+SJT12oi/QDn+ERT47RZVOuQw8Yk9nrKZB/P9Qmi1LDuEKWG81jjK7Q5F9cjiVKn13iKoy+KkkudUbPLic3XLVXKI6fCa3Y5M16WXMNOlCh1RWYzNq5uDWtbNq5uhd1iznLJiIgSM5VxQLrGV7k0hiRSu843rm7FL988prxmqtcnx+OULzJ1rSbSD3COTzQ1tWVFqnPZ2rKiLJfMWDLZx3N9gig1rDtEqeE81vgKbc7F9Uii1Ok1nuLjLxRF7owi97vMRmdkMglY01aHeR0rcXLUi5pS7icrkzvR0MEhO1GixLhKbHDazFh/YQtECTAJgNNmhqvElu2iERElZCrjgHSNr3JpDEkUeZ1PK7HjSP8YBj0+APosuHE8TvkiU9dqIv0A5/hEU9NY5URrbUnYXLa1tgSNVRxv6SmTfTzXJ4hSw7pDlBrOY42v0OZcXI8kSp1e46msBBwJgnAtgG8CmA/gXEmSdmm87iiAUQABAH5JktozVcZClo7OSBQlHO13o3fEi9qy5N7PZBLQMq0ELdNKUj6+EbETJUpdY5UT0yvHcMrtU343vbKYi7RElDFTGRsBUx8HpGN8VWgLGqS/qdaLSJHX+axqJ7bpeH1yPE75IlPXaqL9gN59kN5tB1EuM5kEfKy1BtNKitAz7EV9uR1t9eW85nWWyT6e6xNEqWHdIUoN57GFJXRbeaPieiRR6vQaT2Urw9FeAFcD+K8EXnuRJEmn0lweiqDnAqAoSti+70TUAGZNWx0b/ClgJ0pERJSf9Bgb5eo4gIHilKpMzBn0vj5ztR4SRcrktZrpfoDrDVRoRFHCC/t7ec2nGft4IiIyKvZxxleIcySuRxJlV1YCjiRJ2g8AgmDMho3CHe13Kx0bENwP9tYnd2Nex0o2/lPETpQoNUf73djw07eiUsduY7tERBmg19iI4wAyknydM7AeUr4w6rWar20HUap4zWdOptpNrk8QpYZ1hyh1Rp0bUBDHi0SUKL3GU6Z0FE5HEoAXBEF4QxCE9bFeKAjCekEQdgmCsKuvry9DxaNE9I54wy5UINjBnRz1ZqlEFIp1hwqRHu0S6w5R6gq9/nBsRKkyct1hvaB0M3L9KWRsO9KPdSe38JrPL4nUH55TomisO0Sp4biNALaPqWL9oUKkV3uRtoAjQRB+LwjCXpWfK5J4mwskSVoO4BMA/lkQhAu1XihJ0sOSJLVLktQ+bdq0KZef9FNbZofdGn6p2a0m1JTas1QiCsW6Q4VIj3aJdYcodYVefzg2olQZue6wXlC6Gbn+FDK2HenHupNbeM3nl0TqD88pUTTWHaLUcNxGANvHVLH+UCHSq71IW8CRJEkXS5K0UOXnmSTe4/jp/z0J4FcAzk1XeSl9ml1ObL5uqXLByvuFNrucWS4ZERUqtktElE1sg4iisV4QUSrYdlCh4TVvPDynRKlh3SEiUsf2kYgSpVd7YUlH4fQgCIITgEmSpNHT//8SAN/KcrEoBSaTgDVtdZjXsRInR72oKbWj2eWEySRku2hEVKDYLhFRNrENIorGekFEqWDbQYWG17zx8JwSpYZ1h4hIHdtHIkqUXu1FVgKOBEG4CsADAKYBeF4QhN2SJP21IAjTATwiSdKlAGoB/EoQBLmcP5UkaXs2yktTZzIJaJlWgpZpJdkuChERALZLRJRdbIOIorFeEFEq2HZQoeE1bzw8p0SpYd0hIlLH9pGIEqVHe5GVgCNJkn6F4BZpkb//EMClp/9/J4AlGS4aERERERERERERERERERERERHFkLNbqlFmiKKEo/1u9I54UVvGtHpEVDjY/hFRvmL7RZRerGOUi3hdEpGM7YHx8JwSpYZ1h4iIAPYHRFOhR/1hwFEBE0UJ2/edwK1P7oZ3UoTdasLm65ZiTVsdG2IiMjS2f0SUr9h+EaUX6xjlIl6XRCRje2A8PKdEqWHdISIigP0B0VToVX9MaSwj5bij/W7lAgIA76SIW5/cjaP97iyXjIgovdj+EVG+YvtFlF6sY5SLeF0SkYztgfHwnBKlhnWHiIgA9gdEU6FX/WHAUQHrHfEqF5DMOyni5Kg3SyUiIsoMtn9ElK/YfhGlF+sY5SJel0QkY3tgPDynRKlh3SEiIoD9AdFU6FV/GHBUwGrL7LBbwy8Bu9WEmlJ7lkpERJQZbP+IKF+x/SJKL9YxykW8LolIxvbAeHhOiVLDukNERAD7A6Kp0Kv+MOCogDW7nNh83VLlQpL35Wt2ObNcMiKi9GL7R0T5iu0XUXqxjlEu4nVJRDK2B8bDc0qUGtYdIiIC2B8QTYVe9ceSjsJRfjCZBKxpq8O8jpU4OepFTakdzS4nTCYh20UjIkortn9ElK/YfhGlF+sY5SJel0QkY3tgPDynRKlh3SEiIoD9AdFU6FV/GHBU4EwmAS3TStAyrSTbRSEiyii2f0SUr9h+EaUX6xjlIl6XRCRje2A8PKdEqWHdISIigP0B0VToUX8YcERERER5a2n7eejp6Yn7uvr6euze9Zou7zU6NobSktiDr0SOR0RERERERERERERERJSvGHBEREREeaunpwcX3bk17ut++YVLUNvQGPM1g0NDuPoHv437Xr/o+Dgu+l7sY7541/Vx34eIiIiIiIiIiIiIiIgoXzHgiIiIiAxPFKW4gUm/6Ph4hkpDRERERERERERERERElN9M2S4AERERERERERERERERERERERHlDwYcERERERERERERERERERERERFRwhhwRERERERERERERERERERERERECbNkuwBEuUQUJRztd6N3xIvaMjuaXU6YTEK2i0VEacD6Tuk0ODiI2obGuK+rr6/H7l2vZaBEhYX1m4hSxfaDKHmsN0RkRJls29iOEqWGdYeISB3bRyJKlB7tRVYCjgRB+B6AywD4ALwP4LOSJA2pvG4NgPsBmAE8IknSdzJZTiosoihh+74TuPXJ3fBOirBbTdh83VKsaatjR0xkMKzvlG6iKOGiO7fGfd2Ld12fgdIUFtZvIkoV2w+i5LHeEJERZbJtYztKlBrWHSIidWwfiShRerUX2dpS7XcAFkqStBjAQQBfjXyBIAhmAA8B+ASABQD+VhCEBRktJRWUo/1upUIBgHdSxK1P7sbRfneWS0ZEemN9zw9L289DbUNjzJ/BoaFsF5NyDOs3EaWK7QdR8lhviMiIMtm2sR0lSg3rDhGROraPRJQovdqLrGQ4kiTphZB/vgrgGpWXnQvgsCRJnQAgCMITAK4A8G76S0iFqHfEq1QomXdSxMlRL1qmlWSpVESUDqzv+aGnpydulqBfdHw8Q6WhfMH6TUSpYvtBlDzWGyIyoky2bWxHiVLDukNEpI7tIxElSq/2IlsZjkJ9DsBvVH7fAOCDkH8fO/07orSoLbPDbg2vEnarCTWl9iyViIjShfWdyLhYv4koVWw/iJLHekNERpTJto3tKFFqWHeIiNSxfSSiROnVXqQt4EgQhN8LgrBX5eeKkNd8HYAfwP/pcLz1giDsEgRhV19f31TfjgpQs8uJzdctVSqWvE9hs8uZ5ZKlF+sOFSI96jvrDlHq0ll/CrU/p8LAvie92H4YG+tPerDeGB/rDhUivdq2ROoP21GiaKw7RKnhuI0Ato+pYv2hQqRXe5G2LdUkSbo41n8XBOEzANYCWC1JkqTykuMAZob8e8bp32kd72EADwNAe3u72vsRxWQyCVjTVod5HStxctSLmlI7ml1OmExCtouWVqw7VIj0qO+sO0SpS2f9KdT+nAoD+570YvthbKw/6cF6Y3ysO1SI9GrbEqk/bEeJorHuEKWG4zYC2D6mivWHCpFe7UXaAo5iEQRhDYCvAPioJEkejZf9BUCrIAizEAw0+iSAGzJURCpQJpOAlmkl3MeUqACwvhMZF+s3EaWK7QdR8lhviMiIMtm2sR0lSg3rDhGROraPRJQoPdqLrAQcAXgQQBGA3wmCAACvSpL0eUEQpgN4RJKkSyVJ8guCsAHAbwGYAfyPJEn7slReIiIi0snS9vPQ09MT93WDQ0PpLwwRERERERERERERERERJS0rAUeSJM3W+P2HAC4N+fc2ANsyVS6idBNFCUf73egd8aK2jGkMibKJ9TF7enp6cNGdW+O+7hcdH89AaYhiY1tBlP9YjykX8bokIsptmWyn2ScQERHA/oD0w2uJiBKlR3uRrQxHRAVHFCVs33cCtz65G95JEXarCZuvW4o1bXXs6IkyjPWRcsXg4CBqGxpjvqa+vh67d72WoRJRKLYVRPmP9ZhyEa9LIqLclsl2mn0CEREB7A9IP7yWiChRerUXpjSWkYhCHO13KxUWALyTIm59cjeO9ruzXDKiwsP6SLlCFCVcdOfWmD+JbD9H6cG2gij/sR5TLuJ1SUSU2zLZTrNPICIigP0B6YfXEhElSq/2ggFHRBnSO+JVKqzMOyni5Kg3SyUiKlysj0SUCLYVRPmP9ZhyEa9LIqLclsl2mn0CEREB7A9IP7yWiChRerUXDDgiypDaMjvs1vAqZ7eaUFNqz1KJiAoX6yMRJYJtBVH+Yz2mXMTrkogot2WynWafQEREAPsD0g+vJSJKlF7tBQOOiDKk2eXE5uuWKhVX3gex2eXMcsmICg/rY/osbT8PtQ2NMX8Gh4ayXUyihLCtIMp/rMeUi3hdEhHltky20+wTiIgIYH9A+uG1RESJ0qu9sKSjcEQUzWQSsKatDvM6VuLkqBc1pXY0u5wwmYRsF42o4LA+pk9PTw8uunNrzNf8ouPjGSqNMQwODqK2oTHu6+rr67F712sZKFHhYFtBlP9YjykX8bokIsptmWyn2ScQERHA/oD0w2uJiBKlV3vBgCOiDDKZBLRMK0HLtJJsF4Wo4LE+Ur4QRSluEBcAvHjX9RkoTeFhW0GU/1iPKRfxuiQiym2ZbKfZJxAREcD+gPTDa4mIEqVHe8Et1YiIiIiIiIiIiIiIiIiIiIiIKGHMcERERFTglrafh56enpivGR0bQ2lJ/AjnwaEhnUpFRERERERERERERERERLmKAUdEREQGlUggERAMErr6B7+N+ZpfdHwcF30v/rZev+j4eMLlI30NDg6itqEx5mvq6+uxe9drGSoRERERERERERERERERGRUDjoiIiDIg0eCfRAJC9AwkAhgkZBSiKOGiO2MHhb141/UJvVci1xiDl4iIiIiIiIiIiIiIiAqXIElStsugO0EQ+gB0ZbsccVQDOJXtQmRQIX3eXP2spyRJWhPrBQnWnVz7fCxPfLlWpnwsT8z6o0O/k2vfSSry/TPke/mB3PwMevQ9ufi5IuVDGYH8KCfLeEa6+550yofzqCWfyw7kd/n1Krte8x49y5RNRvgMgDE+Rz58Bj36nnz4nJHyscxAfpbbqGU26ppbIljmzDBqmY1ad1ie2HKtPEDulSlT69W59rkzodA+Mz9vNPY9mcHyxJZr5QGmUH8MGXCUDwRB2CVJUnu2y5EphfR5jf5Zc+3zsTzx5VqZWJ7cLMNU5ftnyPfyA8b4DGry4XPlQxmB/Cgny2gM+fwd5XPZgfwufy6WPRfLlCwjfAbAGJ/DCJ8hEfn4OfOxzEB+lptlzp1j6YVlzgyWOXeOlQiWJ7ZcKw+Qe2XKVHly7XNnQqF9Zn5eYxwrESxPbCxPfFMpk0nvwhARERERERERERERERERERERkXEx4IiIiIiIiIiIiIiIiIiIiIiIiBLGgKPseTjbBciwQvq8Rv+sufb5WJ74cq1MLE+0XCjDVOX7Z8j38gPG+Axq8uFz5UMZgfwoJ8toDPn8HeVz2YH8Ln8ulj0Xy5QsI3wGwBifwwifIRH5+DnzscxAfpabZc6dY+mFZc4Mljl3jpUIlie2XCsPkHtlylR5cu1zZ0KhfWZ+XmMcKxEsT2wsT3wpl0mQJEnPghARERERERERERERERERERERkYExwxERERERERERERERERERERERESWMAUdERERERERERERERERERERERJQwQwYcrVmzRgLAH/7wJ/wnLtYd/vBH8ycm1h3+8EfzJy7WH/7wR/MnJtYd/vBH8ycu1h/+8EfzJybWHf7wR/MnLtYf/vBH9Scu1h3+8EfzJybWHf7wR/MnLtYf/vBH80eVIQOOTp06le0iEOUl1h2i1LDuEKWO9YcoNaw7RKlj/SFKDesOUepYf4hSw7pDlBrWHaLUsf4QJceQAUdERERERERERERERERERERERJQeDDgiIiIiIiIiIiIiIiIiIiIiIqKEMeCIiIiIiIiIiIiIiIiIiIiIiIgSxoAjIiIiIiIiIiIiIiIiIiIiIiJKmCXbBaDcIYoSjva70TviRW2ZHc0uJ0wmIdvFIiJKC7Z5NBW8foiIcg/bZqLCxjaAiPTENoUoNZmsO6ynRJQothdEROr0aB8ZcEQAghfT9n0ncOuTu+GdFGG3mrD5uqVY01bHTpeIDIdtHk0Frx8iotzDtpmosLENICI9sU0hSk0m6w7rKREliu0FEZE6vdpHbqlGAICj/W7lYgIA76SIW5/cjaP97iyXjIhIf2zzaCp4/RAR5R62zUSFjW0AEemJbQpRajJZd1hPiShRbC+IiNTp1T4y4IgAAL0jXuViknknRZwc9WapRERE6cM2j6aC1w8RUe5h20xU2NgGEJGe2KYQpSaTdYf1lIgSxfaCiEidXu0jA44IAFBbZofdGn452K0m1JTas1QiIqL0YZtHU8Hrh4go97BtJipsbAOISE9sU4hSk8m6w3pKRIlie0FEpE6v9pEBRwQAaHY5sfm6pcpFJe/R1+xyZrlkRET6Y5tHU8Hrh4go97BtJipsbAOISE9sU4hSk8m6w3pKRIlie0FEpE6v9tGSjsJR/jGZBKxpq8O8jpU4OepFTakdzS4nTCYh20UjItId2zyaCl4/RES5h20zUWFjG0BEemKbQpSaTNYd1lMiShTbCyIidXq1jww4IoXJJKBlWglappVkuyhERGnHNo+mgtcPEVHuYdtMVNjYBhCRntimEKUmk3WH9ZSIEsX2gohInR7tI7dUIyIiIiIiIiIiIiIiIiIiIiKihDHgiIiIiIiIiIiIiIiIiIiIiIiIEsaAIyIiIiIiIiIiIiIiIiIiIiIiShgDjoiIiIiIiIiIiIiIiIiIiIiIKGEMOCIiIiIiIiIiIiIiIiIiIiIiooQx4IiIiIiIiIiIiIiIiIiIiIiIiBLGgCMiIiIiIiIiIiIiIiIiIiIiIkoYA46IiIiIiIiIiIiIiIiIiIiIiChhDDgiIiIiIiIiIiIiIiIiIiIiIqKE5XzAkSAIdkEQXhcEYY8gCPsEQbgr22UiIiIiIiIiIiIiIiIiIiIiIipUlmwXIAETAFZJkjQmCIIVwJ8EQfiNJEmvZrtgRERERERERERERERERERERESFJucDjiRJkgCMnf6n9fSPlL0SEREREREREREREREREREREREVrpzfUg0ABEEwC4KwG8BJAL+TJOk1ldesFwRhlyAIu/r6+jJeRqJ8xbpDlBrWHaLUsf4QpYZ1hyh1rD9EqWHdIUod6w9Ralh3iFLDukOUOtYfotTlRcCRJEkBSZKWApgB4FxBEBaqvOZhSZLaJUlqnzZtWsbLSJSvWHeIUsO6Q5Q61h+i1LDuEKWO9YcoNaw7RKlj/SFKDesOUWpYd4hSx/pDlLq8CDiSSZI0BOBFAGuyXBQiIiIiIiIiIiIiIiIiIiIiooKU8wFHgiBMEwSh4vT/LwbwcQAHslooIiIiIiIiIiIiIiIiIiIiIqICZcl2ARJQD+DHgiCYEQyQelKSpOeyXCYiIiIiIiIiIiIiIiIiIiIiooKU8wFHkiS9DWBZtstBRERERERERERERERERERERER5sKUaERERERERERERERERERERERHljpzPcETpJYoSjva70TviRW2ZHc0uJ0wmIW+PQ0SUKL9fxL6eYfQMe1FfXoy2+jJYLIzDzQfsU2Lj90NERhDaljlsFvgCAbicRWzTiHJMoY87Cv3zh+J3kTn8ro2H6xNEqWHdIaJEcfxkbDy/RKnTYzzFgKMCJooStu87gVuf3A3vpAi71YTN1y3FmrY6XRviTB2HiChRfr+Ip/ccx+1P71XapXuuXIgrlzRwYSLHsU+Jjd8PERmBWlvWsaoVW3d147Y189mmEeWIQh93FPrnD8XvInP4XRsP1yeIUsO6Q0SJ4vjJ2Hh+iVKn13iKI68CdrTfrTTAAOCdFHHrk7txtN+dl8fRgyhK6Owbwyvvn0Jn3xhEUcp2kYgoDfb1DCsdKBBsl25/ei/29QxnuWQUTz71KbJM9i35+P0QEUVSa8u27DyEtYsbYrZpHMsTZVa+jTv0biPy7fOnE7+LzDna78am7ftx0wUt2LBqNm5e2YJN2/fzu85jXJ8go8nUmJx1h4gSxbGqsfH8EqVOr/EUMxwVsN4Rr3IBybyTIk6OetEyrSTvjjNVjIIlKhxa7VLvyESWSkSJypc+RZbpviXfvh8iIjVabZkgaLdpHMsTZV4+jTvS0Ubk0+dPN34XmdPvnsD17Y3YsvNQWBbAAfcEv+s81TOsXn9ODHuxZGaWCkWUokyOybm2R0SJ0m4vOFY1As5FiFKn13iKGY4MTOtpAvn345MBbFw9G/XldgBAfbkdHatnw+ML6Pr0QW2ZHXZr+KVmt5pQU2rX5f31wihYosLhchaptktVTluWSpQ7cj07hFafUmw1p62sU/lOMt235EufS0QUi1ZbJknB/51WEt2mZXMsn+t9pyxfyknJy9a5zZVxhyhKOHpqDK919mPngV68fzL6O0hHG5Ernz8X8LvIHJvZpAQbAWeyAFrNXOLVm98vYs8Hg9i+twd7PhiC3y/G/6MU1JcXq9afunLWH8o/mRyTc22PKHWFNjd02Cyq7YXDZs5SidIvU+OYXJDpuUih1R8yNr3GU5yNGoBa4yY/TXDplpfxt//9Gi7d8jK27zsBv19Ufv+5/92F/3qpE5/6SBMWN5ThUx9pwsMvdeJz/7tLeb0eDWWzy4nN1y1VLlj5yYZml3PK762nWFGwRGQsflFEx//P3rvHR1Xf+f+vM/fMZDKZ3EPCBEIChFy4GBG7hlailHZREVC37mJrtdn2Vw2Vdsu3rtZ6WbuopStqt0WtFbpd0VIvKKVa0IpbUIMKyD0EEgNJSCbJJJnJXM/5/TGcw5yZz5nMTM7MZCaf5+PRRyXJnM/nnDmf9+3z/rzfSypFcql5SSVYNn0N70iQ0h0TyWgm6ZTmJZVofunTuMx1vM8k0bolVXQuhUKhhENK1r956BzWNlbijDU0oBONvJUzOJQKuhNInXlSoieZ32087Y5I1ynLcthzogd//rwb33zhI3z7dy34x6dCn0E8bDJqd12CPovEYXf5iO+yw+1L0ozSE6+XxWsHz+GWzfvx3d9/gls278NrB8/FZbNuVn4mHrq+RrR+Hrq+BrPyjbKPRaHEm3BVROSGxvYolNiYjL6h2+cjyguPLz3lRSLtmIlAIn2Rybh+KOmNj+XI9hQX3TtNW6qlOFJlSmcVGomnCbbcvjDk50/uPoUtty/EbS98FPL3s5sbxl1yTqFgsKy6CLObG3Bh2IkCow7Tcg1hy6iyLIezVjt6hpwozBr77+WAz4INdIroiTwKJT1RMAy2tXTgjqvKwTAAxwHbWjpw+TRzsqeWVKROosmhC6JFSg/wOqWkaRF2H78AHwts3d+OLpszorlGq1/G+0wKjGTdQqrOIQex6FwKhUKZCATL56VVhdjZ3IB2qx12lw+dgw4sryvBln3tGHC4sTNIDkdqy0fS5iEaXTGRdGc4UmWelOhJ5ncbL7uDtE4fvbEWCyzZsOSIr3/WasehThs2v98W9hnEw9+ndtclFAoGS6sKsa1pEbpsThSbdKguNk3KZxFvDFoV8V1O5xP6yeDIeRvue+1zkVy577XPUZmfibkWeeMGJ3qH8cx7p0TxiWfeO4VZRZmYO3VyxygoqQdfRSRERqnll1E0tkehxMaZPrL/MOvuBswoSE/fMNegJcqLZTVFyZ5aXDjSJWHHFKSnbZFIX2Qyrh9KeqNUkO2phdNzoroOTThKcaSCi7/65wXE0wRn+uzEn/c73HHtcalQMCjPz4zoWons9RwInwUbPC49kUehpB8DDg9uqbcIpej5rN2BUU+yp5ZUJkq/47H0gELBwOH2YdPu1qjmGot+Ge8zUSqAtY2VeHL3pXdtbWMl4tnxIBqdS6FQKBOBcPK5Z8iJ23/XEvKZYDkcqS0/VnJGtLpioujOsUiVeVKiJ9nfbTzsDlIQ995XD6NpcTlmF2WJ1mPPkBMshzGfQbz8fWp3+WFZDm8f60l4HGcywp/QD/Zl3Wl6Qj9ZnLONEuXKOdso5kLejboumxPt1lE8825ryM/nTpV1KAol7gw53UQZNeySP95GY3sUSmy095P3CDv67WmbMDEt14D1y6omzd5fl43sI6arbZFIX2Qyrh9KemNzuon21JDTHdV1aMJRiiMVXJQ88STxc75f+ESo7pOsE5rjPZ2YjKpMFAolNkx6NTFr97FVc5M9taQyUSq9RaIHYplrLPplPM+EZTm09dmxZV+76F3bsq8d8y3ZmJZHnRAKhTKxSZR9G04+RyqHI7Xlx0rOiFZXTBTdORapMk9K9KTjdysVxGU5hCQI6jUqKBmM+QxoNaL4QquoJQ6NUkn0Zf+hIjfZU0sr8jK1RLmSZ9DKPlauQUMcK9egkX0sCiXeSMmoy8rkj7fR2B6FEhsGqUpkmvTdLp5svkC+lB2TKb8dMxFIpC8yGdcPJb0xasn21BOro7On4ni+npII+OBiIDq1AoVGbUjPyuYllXj2/dMhvfg23jwP1cVZce1xybIc2npHsO90H9p6R8L2swy3CRBv+NOJi8rzUJ6fGVWyEe3bSaGkDjolg3XXzhSqzKgUwLprZ0KnSk8nI1IS1e94LJ0QiR6IZa6x6JdYnwmvFw5+MYgBhxvPvNuKp/e04pl3WzHgcKf0JiCFQpkcJNK+DSefo5HDY9ny/uQEJZobK3DXkgoUm3TCNXm5HK2uSJTuHC+pMk9K9KTjd8sHcQPRqRXguEvrkZdRzS99ghy9BmsbQ+Mc/DPgbc8Pz1gBAAun5Ubl71PGJplxnMmG2+fDt780XeTLfvtL0+GhFY5kpcCoxQPXVYvkygPXVaMgS/6NOrfPi5/fWCvYJ2sbK/DzG2vh9vlkH4tCiTeFWVr80+UWPP9BG57e04rnP2jDP11uQWEc1g6N7VEosVFg1IbYzmsbK1FgTM9klGC4SbBlp1AADywPsmOWV0OVphkBifRFCrO0uPdrs0V2271fmx0XPUehJAK3z4vvLq4Q2W7fXVwRtS9CU+5SHKmy4JYcAyw5BsxubkC71Y5PvxjE1v3t6LI50TviRtPicsyfmo2yXIOQyRuvDN9o2xKk4glNepqPQkktlAoF3F4Om99vE+TSwzfUQKFIU6s7QhJx2iMSnRCJHohlrrHol1ifCa8XzHpNSDnxVN8EpFAok4NE2rfh5LNcuomkf5qXVGJbSwfWL6sS5HK0uiJVTkqmyjwp0ZOO321hljakJW3zkkps3d8urMdAGfXr99tw25VleGL1XGjVCpTnZWJ6nv8ZJKtl+2QjFeM4qUp+phYuHyvyZdddOzNtT6wnEyXD4YnVc2F3e2HQqOBwx6dNU6ZGg+MOu+g7/bevzsL0POozUlIPS44BlYWZaFpcDpYDFAxQWZgJS4787zON7VEoscEwgEGjFK1Tg0YJJo1N48nmE5gyNNj+SQceWz0Xo24vMjQqbPl7Gx5bPS/ZU4sLifRFSrP10GtV2Pzn48K79MiKGpRm62Ufi0JJBDqVGts/ORUiL/7f1+ZEdR2acJTijBVcLM/PxLRcA0Y9LAYc/n57Aw43Zhdl4cszC0TKlD8RLPcGQqSbFYEtG55dU4/7Xj+MdutoSmzOjtWagUKhTCwcHh/uf/1zkVy6//XPseXbC5M8s+QTL13AE4lOkEqmDdYD0c410usGE8sz4fVCl82JrfsvtVRrqMjD5dNyZEvopa08KRRKvEikfTuWfFYoGOG/e4acwmeikXkk/bNpzylsa1qE2pJs4Vqx6Ip46065SJV5UqIn3b5bfrNybWMl8jO16BhwYOv+dgw43MJ6/PCMVVjPXTYnNuw6AQB4qekKzCi49BzkSJ6kNtfYTMs14Olb5+NQpw0sBygZoLbUNKHjOKmKjwU2vnNS9E5vfOckGmcXJnlm6UWXzYlf/rUVKxeUCq0F/vRJJ355i0H21tguH4vH/3JC9J0+/pcTND5BSUkUCgZLZhWiPC8z7onQNLZHocRGl82J//5bm6DjfCzw339rw8wio+w6bqIw2QoGTMs14NtXzYg6Bp6qxBrzj4WOAQfue02se+577XMssJjT8l2ipD8sOFxXV4LWC8OCL39dXQk4RFcOjiYcpQFjBReTfeIxks0KUobxhlV1KMnWIcegnfABPXqaj0JJLewuL1Eu2V3eJM1o8hCJToiX3kqkPgzUC102J555txU6tQIr55ckpXoghUKhREsi7dux5LMcMk9K/4x6fCGHMNKtWgyFkmoEblb2212oLMzEleW5omSfSGXUeJMnqc0VOcFVJjbePC/ZU0pLLgyT3+neEaco2Y4yPgqzdEJrbJ542UE0PkFJNxKVCE3XDoUSG4nUcRMFKZ+gZyg9CwZMtrhGIu+XFp+gpBtSFXTzo6ygS+tLThJ4Q39ReR7K8zPHFLQsy6GtdwT7TvehrXcELBt7Y1M+EBhIsAFDyjBev/0QcgzaiOabbPgM2sCeqOmcMUyhpDo5Bi1RLuXoNUma0eQhEp0ARK+3IiVe1w2EZTlwHPDE6rlY21iBYpNOdr0gdTLnrNUuy/UpFAol0fZtOPksh8yLVP+MNRcp5PSfKBTKpXVYPy0Xc6eaceUM8XqMVEZFs/aDYVkOh88NUpsrAqhtmjjG805TIieRdhCNT1AosUHXDoUSG5NxL0uvURHlhV6jTNKMEgc3SUITiYj5A9QWp6QfUhV0fewYHwyCVjiihCD3Cb5IytmlelboZMsYplBSHbfPh+Ylldi055Qgl5qXVMLNRqlFKVGTyBKnyYCkQx+9sRYLLNmw5MinF1Jdb1IolInPRLJv5ZB58dQ/tAIKhZJ4IpVRsa59fl0f7x6iNlcEUNs0cVjMejyyokZo5aBTK/DIihpYzPpkTy2tSKQdROMTFEps0LVDocTGRPL1E4WUvPBEu6OeItAYRfygtjgl3ZCrgi5NOKKEIHc/00gMmHRoSZaocrEUCmX8aJRKbGvpwB1XlYNh/Jn+21o68A8VucmeWtqT7k4tSYfe++ph7GxukPUe00FvUiiUic9EsW/lkHnx1D9y+08UCiUyIpFRsa59fl3f2VBOba4IoLZp4ugYcOCpPadEvuxTe05hgcVMdY7MJMoOovEJCiU26NqhUGJnovj6iSLXoCXKi2U1RcmeWlygMYr4QW1xSrohly9PE44oIcTjZNpYBsx4TxyzLIezVjt6hpwozEqvzWsKhSI/bp8Pty4swy//elKQOfdcMzNtTzVMNKJ1alNJxifqdHe6V4qiUCiUQEgy79Eba6Fg/DoiUp0Qr6AqrexBoSSWaG3DWNY+v663H+gMOQ1Nba5QqG2aOHqGnGi3juKZd1tFP6c6J3Wh8QkKJTbo2qFQKJEyLdeA9cuqJo2t2jPkhFmvwcoFpWAuuknbD3RSe1EGqC1OSTfk8uVpwhElhGScTBvPiWNaHpBCoURLfqYWGWoFmhaXg+UABQNkqBXIy9Qme2qUIFJNxidKh6Z7pSgKhUIJhJd5s+5uwLHuIZzsGcbjfzmBAYd7QugEWtmDQkkcibIN+XXdZXNi6/523HFVOZQKoHF2AWpLsqnNRUCjYkT+lUZFn1E8oDon/aDxCQolNujaoVAokTLZ4qjFJh1uu7IMT+6+dGhibWMlirKovTheqC1OSUfk8OVpwlEaE2tFiGSdTIv1xDEtD0ihUKLFxwKP/vl4iGH4DxX5SZwVhYQcMj6RFZISqUMnW/ljCoWSvkQipxUKBgwD/OiVgyL9PRHsflrZg0JJHIny/wPXdZfNiec/aMPGm+fBlKHGh2esE77qZqI5a7Xjrj98GuJf7aRxGdmhOidxJMqPpPEJCiU26NqhUGInlarJy8VkiqP6WAjJRoDfZ3py9yksnZOeLeQSCbXFKemGXL48TTiKE8lW2JGe+pOap1zZvol4DrG0MEj290OhUJLLhWHpsqIzCtLf6ZiISMnl8bapkfsU/Fj6I7AKR0e/HXqNCoVZ0Z+uo3qKQqFMFqKR01I6od1ql0VOkmQvgIiSoSL1n6h8pySCdHjPgu/BYtajY8CBkz3DuLOhHNsPdKLL5gQQvxaGc4qNePH2hXC4vZhq1uNsvx3LntybElU3Ew1tLZk4FAoG18wqwO/vuALdQ04UZelQN8VE30OZYVkOe0704FCnDSwHKBmgttSEJbMKZX/WND5BSTe8XhZHumzosjlRbMpAdXEWVCqF7ONcGJbWPXTtUFKVRKyfVKsmLxdutw+HztvQPeREcZYOtVNM0GiUyZ5WXJCSj70jVD6OF4WCwdKqQmxrWnRxnepQXUxtcUrqItWCsWcoOl+eJhzFgYmgsCM59TfWPMeb7ZvoUueRlrAjzWvDqjpMydYh16BNyWAshUKJjkydilhWNFNL1WIyCKcvxlumNJw+nJZriGozLhq9dqJnOGb9NxHsCAqFQkkU0VQrkdIJn34xiFEPOy45SZK9T986H24vF5E8jsR/ovKdkggS8Z7FO6Ep+B7KcjNw95JK3Pfa58I9NS+pxNb97eiyOWUvYU96hpvX1ItO/dHKymJoa4HE4fWyeOPwedF6eGRFDVbMLYnLhv5kpd1qx6meEWx+v00UM5iRl4npMq95o0R8wkjjE5QUxOtl8drBcwmRUXqNiqh7MtTpmUBASX8StX4mY8cQt9uH1w6dx09fv/RsH7qhBivqpqRl0lGBkWyb52dS23y8sCyHt4/10LgOJW2Q8kWi3SulnmgckFLYZ632hM0h3OmyRM0zkuuzLIe23hHsO92Htt4RsCwX9Th8CTud2v86j1XCjjSv9dsP4b0Tffj6pr3YdaQ7pnlQKJTUYXjUg5c+7sAdV5XjriUVuLOhHC993IFhpyfZU5uUhNMX0cr4YKT0Yc+QE7uOdOPrm/biG89+GJH8D5xnsUmHO64qx/HuIRw+ZxN9brz6dSLYERQKhZIoIvFbeEg6oXlJJV5p6Ry3nGy32nG8ewh3NvhtA7Neg0OdNlnlMZXvlEQQ7/eMT8aJxoaKluB7WF5XImy8AP572rTnFFYuKJW9hD3Lcjh8blCQB8UmHZweFi3t/RHLqsmIxazH46vr0NxYgbuWVGBtYwUeX10Hi1mf7KmlHUe6bCHr4b7XPseRLluSZ5ZenLeNEluRnLeNyj7WsNNLjk+4vLKPRaHEm0TKqEGHCz9ZNluke36ybDZso27Zx6JQEkGi1k80Pni6cOi8TUg2Avz3+9PXP8eh8+lpPykVwNrGSlHsZG1jJZRpnBEgx15zJNC4DiXdGJJpr5QelYgDE6GUdCSny+I1T/6048me4bDXl+vkZbQt4KTum2HGl82dDmXrKZTJwqjHh1vqLdi051LWbvOSSox6fMme2qRkLH00VouycPJXSh/qNUrc/ruPozrNw8+z2KTDmkVlwvuz+f02kf4ar36dCHYEhUKhJIqx/JZgGb+0qhAv3r4Qe1v7wHEQKpwAIMrJSGx0luVwoGNQVMWgeUklFArIKo+pfKckgni/Z+M9ER3Jmgy+B95XD76nupIs7LxYtVKOlood/XZ80jGIe189HFJJieVAK/iEoXPQgS6bUyRH1107E52DDkzLo/JNTrps5JL33TYn5k5N7tzSiWGnlyh3RpzyxwxGPV6J+ARNOKKkHl02sh0SDxmlVSng5TiR7vm3r86ChlZ7o6QoiVo/k7EyZbfUsx1KzySrLpsTfz7chcdWz8Wo2wu9RoVn3z+N+ZbstLTNE1lNmsZ1KOmGXHul1PqKA7zCDoRX2InKsoykIkS4ecZK4GnHz88Phb2+nJmgfAuDReV5KM/PDKtEpO6bu/hVxJLNnYhTnhQKRT6ydGpBgQKXTkln6dRJntnkJBJ9dKJnGN/7n09wy+b9WPbkJRk7lvyV0oduH0t0DvrtLkk9zc9z5YLSkPcnUH+NV7/GQz9TKBRKIojF1wnnt5Bk/NvHelCYpcVze9vwzLutQrIRSU5GaqOftdpx32uHQ+yC0my9rPKYyndKIoj3exbJiWgpWRDpmpS6h+B/VxYax/T/I4Gf158+PSckG/H3xVdS2nHwHDasqou56ma60zPkwsZ3Toqe3cZ3TqJnyJXkmaUfU3MycNuVZXj+gzY8vacVz+1tw21XlqHUnJHsqaUVU7IziHKn2KSV+ETsGLXk+IRRS+MTlNSj2EReO0Um+e1dtVKJx/9yQrR2Hv/LCWiU6dceiTI5SNT6sZj1eGRFjciufWRFTVpXpizI0pJ9pEz59fpEoNikw9dqi/HjPx7E+u2H8W9/PIiv1RajKCs9Yw+JrDpE4zqUdEOuvVJa4SgO8EHz4GxKi1mfsCzLSKr+TMs14Olb5+NQpw0sBygZoLbUNK6A2VmrHRt2HcMdV5UjU6vE/cvn4OE3jwr3++iNtVAw/oBesjJBSd8Pf2oRiE05xKvvLa2aRKHEB9uoh3gq1DZKW6olAym9yeujcDIWQFj5K6UPz1rtIad5ynIzcG7QiX95/qMQPQ0AHAc8sXouwABmvUbY5ObH5fXXWPcTSKCcN+pUcLh9sLu8eHZNPe57/TDaraN0Q4tCoUxIgu1Ui1kfUx/7QDndb3dBrVTA4fbhrNUOBUOW8W/d3RCRnI3URpfySzw+Fo+tqsOPtx8aU56Heza8DR+NfqBQYiVWOyRSf3OsE9FeL4u3Pu/C+qB1s6y6KOI1GXwPOw6ewyMraoQWE3KvHX5edzaUE2WBUgGsX1aFpVWFqC0xiWxKAGjrHSE+w8nkz9vd5GowDjet0CI3Xh8nlLznfdmXPu7Al2bkJndiacbsAiMevqEG979+Se48fEMNZhdmyT7WoER8YpDGJygpSHVxFh5fXYdTF0aE/YaKgkxUF5tkH8tqdxPXTr+dtlSjpCZVhUY8dEON0PpLp1bgoRtqUCWz7ukcdIBlWTyxei7sLi8MOhUcLk9aV6YsMmnx2KpatPbaBdk0I9+Aouz0TDjysSC2hl06pyjJM4sPidxrpnEdSroh5YtEu1dKE47iQLjNTangGv97OQNRfNUfvn1Z8PUBwO0Vlx3dePO8cY1ptbtEpbfKcjPwy5vnwcdyOHlhGI//5QQGHG5svHkeZhUak1K6MfD76RlywuPjcP/rh9Flc8asHOKh0BJZBpBCmWwYdSrcdmWZYHjzfYyNOqoWk8FYSbLhZCzHRd7uhgs4PE9yDh6+oRZNW1tC9PSctQ042jUs+tu1jZXYsq+dWFkj0lafgXLerNeEvJMbVtWhJFuHHIM25POTaQOLQqFMPEh26uY19WETCcLJLT4Z53i3WNY+emOtZIKnRsWgaXE5WA5QMIBGFSoDI7XRpRIoCk1aLCzLRU1QgkE4eTuWDR9NK2gKJRZisUOi8TfDBVhZlsPf26xCshEglgWRrkmFgsHSqkJsa1qELpsTxSYdqgqzsMBijsvaCZwXSRY0zi5AbUm2KMYy1jMEMKn8+TKznvjspqbxSflkMehwE0veDzroBrucdNpG8c7R8/jNmssw6PAgW6/G/+w/g8vKzLJvXGVJxCeyaHyCkoIoFAwUjEK03/CLm+bFRfeZMiTWTgZdO5TUpNM2ipc/bhfaYGVoVNjy9zbUy6x7rCNuWO0e/PSNo6K1Yx1xY1qebMNMKIoyM+D2DYhk0yMralCUmZ4VIi8Mk/2u3hEnZhSkX1JZgZEc08nPjM9es0GrECXsGbS0mRQldZHyRaLdK6XWV5wIDkQB0gHvfrsrJLguZyBKKgg2q9Aoe1UejVIhKr3Vbh3FPS9/hqbF5di0u1X4u3Uvf4ZdayM7mRwPgpOxXvjWwnEFLuPR9zZeVZMoFAqgYBhilv/Wby9M8swmLyS9yTOWjA33u3AbQcGbcVJ6umfIFSKPn9x9StBtJP0V7n54AuX8ygWlIe/k+u2HsJMg82lCKoVCSTYkO7WlvV8ykWBarmFMuUW65r2vHg7xI3RqBfQaJW7/3cchsj9YZkZqo5MSKNY2VsLh9kUkz8d6NsGV96K5HoUSC9HaIUDk/ma4hKa23pGwsiDSNcmynGTFtHisHX5e2w90onlJpSiRY+PN84Rko2DGU4Uz3VAqGay7dqbQVk2nVmDdtTOhUlLbVG4yNCpiyfst1JeVFavdhXlTc/GvWw+IErv67S7Z1zCNT1DSibNWO374ilj//fCVz1BVLL/+U0qsnd/TtUNJUXqGnGhpt6Gl/VPRz+Wu0uL0+ohr5/lv1ss2xkTjWM+QUC0V8N/zfa99jsqCTMydak7y7OSnIFNL9LvyDOlZ0UmpANY2VoYkTCjjkAfU0W/H0fPDIWOV5RjStkIYJb2RyxehaXcJRKq3o1qpiGt/SakgWHu/XTIQGCsOt494TZZDyM+6h5xYVl2Enc0NeKnpCuxsbkjKZikfjF1UnidsAkQLv0kR2Pd2vMlT4U5/UiiU8dE74pLI8nclaUaUcISTsWPJ33A9nIPlv5SelmoRMX9q9rj0V6CcZxjpSk3BJLIvNYVCoZAg2aksB8k+9pHILSnbd+bFqqj89TbePA9uHxuRzIzURlcoGMwpNqJpcTnuWlKBO64qx5Z97bjrD59GLVupDU9JFcbzrkr50D1DzrCyINI1mWhbZ1quARtW1WHA4cbW/e1oWlyOJ1bXYW1jJeYUGyVtvHDPcLLJgi6bEy/831nccdUlOfrC/51F91B63m8y6ZPwZfuoLysrwQcq+cQudRx2rmh8gpJOJFL/XZBYOxfo2qGkKFJxSbk7grg8ZH/a7WUlPpH6dNnIsqnblp626qjXh7WNlSK/a21jJZxeX5JnFh+6bE5s2dcu8kW27GuPiy/SM+QiJmf0DFHdQ0lN5PJFaIWjBCJVelwqSSdc5nI0rVSkDH2DViV7VR6pE4vBU+PHSZcTvvFojxCPqkkUCsWPWa8hri+zXpPEWVF4SDounIyNtR1bsO6R0tNlOQbi+1KWaxiX/gqW85HK/ET2paZQKBQSJDt1x8Fz2LCqTmilFJhI8OEZ65hyS8r2rSrKwk5Cq+pIZGY0NnqXzSmqpMQTrWyVuo94lfKmUGIlHu9qYZYOOw6eC6kStGFVnbD2IlmTibZ1FAoGU7J1uOOqcjAM4GOBX7xzEl02J+ZbsiVPqo6nCme6UZilw4DDjWfeFVekS9f7TSY5BrIvm2OgvqycSMVqHW75N+pofIKSTiQynk3XDiXdCNe6WE7KcslxTktO/DuPJItiUwbxnotM6Wmrdg6MCgk4DANwHLBlXzvK8wyoKclO9vRkJ5G+iNTBZIfbK/tYFEoikMu/pAlHCSQ4uFaUpYOPBdr77VjbWIGXWzrRdTGjNpwwjLaVipShX2jUym7AkIyiX9w0D1o1I8whka3T4g1pU1yuAGiiDEwKZTJi0quwYVUtTvfawXKAkgHK8w0w0T7vSSecjpNKUI22HVtZbgYy1ErsO90nStqV2gQDICmPwyUAj5UcHCjntx/oDCn9KiXzaUIqhUJJNiQ7df2yKiytKkRtiSkkkSASuSVl+07PuyQHey6eTrOY9SF/+/St88FxIMr2SA44BM6x2KTDygWlUCqADLUKLMtFfJBAqj3bGesIpueN70AChRJMNAeRgonHuzot14D1y6qwYdcx3HFVOZQKoL4sB18qzxWux6/JabkGdPTb8fHZftjdXpTlGIRxk2Hr5Bq0eP6DtqjGHMtnn0z+vMWsx+Or63DqwojgX1UUZMJi1id7amlHUZYOD15fjQfeOCK8Ww9eX42iLOoLyIlkLDUOzzlbr8LPV9biTN+l+MS0PBqfoKQm03INePrW+TjUaRPe59pSU1z0n0mvIspDunYoqYpCwWBpVSG2NS1Cl82JYlMGqouzZPchp+eN7XunG9XFWURbtbrYlOypxYViUwY0qkvvDcMAGhWTtvZiIvdSy8x6lOVmYHldCZiLj3jHwXOYSv0eSooil3/JcBw39l+lGPX19VxLS0uypxEW0obq2sZKbNnXjgGHO2wCUVvvCL6+aW+I07uzmdwLOdzmLeAvVy5XVR6W5bDnRI/gVCgYoK7UhK9UFqBjwCHbOBOBaBO/SJ8fKzjM/41Mz23MD6bC2qFQ5KBzcAT7Tw8IvZt1agUeWVGDRTPMKM0mbkiGXT907chHtDpuLIJldVluBu5eUin67iOR3SR5DCCsfo1ERwTqAqNOhVG3DyMuLywBm27B+sJi1uPtYz0x658EQ3UPhRI7E1r3RGOnRmo3syyHM312dPTbodeoUJilRWk2WeYtrSoU/IuiLB2Odg2PSy7yc9yw6xhuqbeIqrNEe62zfSP406fnwHL+k4R/+qQTAw53zLqMEjWTQveM1x8F4vOuRiIb+LjBqZ6RkGTraOwoOQmUAcvrSqBUAJeX5eDK8lyoVNItlMLdr8z+fKKISfec7RvB20d7sPGdk8J3tu7amVg6p1CyQhQlNtxuH949dQEeLwe72wuDRgW1isHVlQXQaJTJnl7aEIOMjVn3fDEwgg/bQuMTV5SbMdVM1w8ltQjeG+ATjpbMKozL2jl6fjhEHs6ZYqRrh5KSyK17wvk8KWqnxgzLcvjz59344SviQglfq5mQsdRx88XACD5tH0RrwGHrGfkGzC/LTlv5GOU7HbPu6egfwb7T/SHJGVfOyIElJz2fLSW98XpZ7D7RE2JPNc4qlIqFENfPhE/3ZhhmKoAtAAoBcAA2cxz3ZHJnNX7OWu2C4QBc6vP44u0LkW/UxtQiTaq8uFRlpQ/PWGWvynPWasddf/hUcqM4nQLspO9w3cufYXYEwdlIjcd0aTlHoUw0ugZcQjAP8K/f+177HFu/vVAq4YiSIORuoRGsAzPUStyyeX/Uspskj9t6RyT1AADi72bd3QCGQUhlvHAtVEn6YmlVYUiLoXR0kCkUysRBqrJnJLI5mtZmJ3rEiUOb19QT5WmgfxFOHkeqO/g5lmTrYtITgcjVno1CCcd4/FGeeLyrkfiwZ612HOq0YfP7bZLzH2/L8mirP/Enyj0+NqQ1ZLhEp3D3O5n8+Z4hl5BsBPi/z43vnMTcUumWdJTYONk7jLZeuyhZb21jJUqyh9OyRUayiMZ2GS9S8Yktty9M201BSvrS0W/HqZ4RQcfzMqoiP1N2fdBrcxPlYb5Bi6lmWYeiUBKCHPZ9pEwmOxXwP1s+2QjwP9sfvvIZqorT81BQr82Nc4POEFlcmu1OW/mYqHe6e9AlJBsB/nfpgTeOYMvtC2nCESUl6Rx0EO2pWYWOqGy3CZ9wBMAL4Iccx33CMIwRwAGGYd7hOO5osicWKaRAl9SGKgcuqnL/PJGWF+c44Iv+Udz3+mG0W0dlPyko90bxRGY895pI45FCoYTSN+Imrt8+uztJM6LwRKvjItlMCnQ49p3uk01PhdMDHAfi74522fBvf4x8E0tKX6RjIi+FQpm4yFFJJdIkhGCZ19LeP6bcjsYuJ+kNfuyeIScUDAOzXiO0ug53LSlo60tKIpB679ujSLJJ1rvaM+QEK2Er8Wst1oAxXyntWNcQTl0YxsstnWNWkebpGHAIyUb8fKifHhl2t5f4fTrc3iTNKH0ZdHjw0scduOOqcqGNw0sfd6C2JD1bgiSTRG1c9dldEvEJV1zHpVDiQc+QS9iwAi4dsl5gMcuecGR3+4jysIbKQ0qKMpn21hLNZHu2drePKIufva0+yTOLH14viyNdNlE7wnCVamOF2m2UdKNnyEW0p6K13SZ8whHHcV0Aui7+9zDDMMcAlABIiYQjqeD8rEJjzIG94H6UZbkZePiGWvQMOYXfB7cmCJ5D85JKbN3fji6bU9YAWjw2isdDPK8/nuDsZDNwKJSJhkmvIq5fk27Cq8W0J5qey2NtgJN0gJwba/y1zHoNVi4oBcP4S9QWZenAciCOc+rCSFSbWFL64mTPsPC8aGUjCoUSb+ROlpey0UkyT0qeBsrtSGU7SW88fet8uL0csdU1n3QUrZ6IRpdRKLEi9d5/+sUgNu1ujSgxMFnvamGWDkpm7LUdSKQtyaViH5HIrHj46fGOeUwUynIMxO/TkkPlntx4WTak9Wfzkkp4WXbsD1OiIlHrtzRbT1w/JaYM2ceiUOLNkNND1KVDTo/sY/k4sjz0UXlISVESeRhgstioPJPtUNCox0eUxaNuX5JmFF+8XhavHTwX0p52xdwS2ZOOSqjdRkkznB4v0Z5yeqI7PCR/el8cYRhmGoD5AD5M8lQiRio4r1QAG2+eB53a/xVEE9jjS31va1qEzWsW4KHra3D/64fxjWc/xNc37cWuI91gWS7sHDbtOYWVC0qFf18YdhLHAvzGR1vvCPad7kNb74jo2sHwActI7osPBn59017JuY+HeF8/mnsNhjdwAklnA4dCmWjoVEqsbawUrV//v5VJntnkI1jHAMCy6iLsbG7AS01XYGdzg+RGmZSOPWu1S+oAi1kfs+wOnqvFrMfTt87HbVeW4fkP2vD0nlb85v02HO0aJo5z//I5eKWlU3TNsXSwlL44fG5Idr1GoVAoUoTbhI8Wknzeceg8vF6WKPN2HDyHDavqwspt3i4vy83A96+uQHNjBZ5dUw+LWS+6FklvHOq0EVtd31RfKjneWPBtWCLRZRRKrJD80bWNlYKtEWgXSRHNuxpNXEAK/hpWuwtVxVkh9vh4YwfhYh+RxD28Pk5WPz3eMYmJxPQ8A35xk/h9/MVN8zA9jyYcyU2GWiUEg4FL73mGmh6ekZNErl+lEsT4hEpF7QZK6mHKUBN1qSlDLftYeg1ZHuo1VB5SUpPx7DdFw2SyUXkS9WwnCjkGsizOMcgviycCR7tsxPa0R7tsso81M8+Ah66vEb1LD11fg5m0kAQlRdFJ+Je6KP3LlLG+GIbJBLAdwA84jhsi/L4JQBMAWCyWBM9OGqngfPeQM+Ze4CzL4e1jPRFXLJKaA18aa6xThMEnBDesqsOUbB1yDdqQOUfT4zzSk9KxZlvHu23ZePq5T6RTzxN17VAo8cQ64safD3fhsdVzMer2Qq9R4dn3T6MiCtlA1874CVehaKzS9SzLoXfYhTsbygEA2w90osvmFG0mSbUii0V2S811ZkEm7vrDp2OOw4DBp18MYMAhbts31iYWSV/wOj+V23zQ9UOhxEay1o6cpwHPWu3YsOuYqFTvxndOwKzX4EvluSEyb/2yKiytKkRtiUlSbvMHMjw+VmiHRKruIlVBieQrlWZn4NnbLsOM/MyYTnuS2rBMtlOkE4100z3B/igDBj/Y9lnU7QAjaRk0nraK/HtvtbtwftAprNGy3Az858o6vHj7QjjcXlhyDJieZyBWqVQwZLsu2AYKF/sYS2adtdpx3+uH0bykUnSyb8Oqupj99HRppR7p2tGqGTQtLgfLAQrG/2+K/NhGPaIKq4DfFxoalb96yGRGrvUbyfo5NzCKLfvaBduI44At+9oxIz8T1VPGfy8USiLRa5S47x+rcGHYBZbzV4HON2qhj/KAXyRrx+Ygy0Obg8pDSmoynv0mnkjWzpk+so6bdXcDZhSkjo0aLRqV2FbVpHFir06txLprZ2LjOycFv2bdtTPT9rD1eZuTqA+6bC7UTY38OpGsnyM9w3jmvVMiu+2Z906hPN+A+mk5470VCiXhyOVfpkTCEcMwaviTjf6H47g/kf6G47jNADYDQH19/YRJxQ0XnI+1F7jUqb07rirHM++2hgQVpebAcWNn8pLGWr/9EO64qhzPf9BGDDJGel+RlCsfT2AzEW3LYv0O5TAe5WKirh0KJZ4YM1T4Wm0xfvzHg6L2KcaMyNUiXTvjJ9Ygbrh2GQMONwqMujF1QLSyW8oZ/9WtCyIap613BP/7UUfUm1iB+uJkzzAOnxsSEoyDx0ol6PqhUGIjWWtHzmR5q91FLNV7vMuGUnOGpI08ltzuGHAIiQwAWaeQ/CKptk7t/aMwZahlk6/j8Wso8pCOuidwbbT1jkSd2BwpcthsfAyBv0a7dRS3/+5j7GxuQHl+LvEz/Fp59MZamPWaMZOppGIfCgZjyqyeISfaraPYul+86V+SrYt5jaZLK/VI1s5Zq12UhA/4n/3OFEuuSgVMGSrcdmUZntx9SuTLZkXhy1LGRq71G8n6ydCoMOBw45l3W4Wf6dQKZGjSc1OQkt6MuDxQKRTY/H6bIKN+dl017O7oNq0iWTtGCXkYTWyPQploxLrfxBPJ2mnvtxN1XEe/PW0TjiabrTo06sUL/3dW5Ne88H9nUVtiSvbU4kJOppqoD7IN0emDSNZP90W/MdBu439OoaQiBUYtcf3kG7VRXWfCt1RjGIYB8DyAYxzHbUz2fKIlHqX6oq1YRJrDhlV1uHpW3pjl/YPHqivJwmOr56KyIBOPr56L335wOmyJ9nBE0lYsXLuc8VxfjnLw44U3HheV56E8P5NuNFAoCYQBIyhQ4FL7FAZ0HSaSWFv0SCXe3lRfKuhYKR1QlKWLSf5LOeN6rTKsLuP1Tc+QE4/cUIs9x7txx1XlaG6swOY19fjHmuIx5T+vL2YWGvH8B22izTbajpNCoSQCqbZLAKKWqRqlgliqtyhbjwvDzphsZL4aCklOt19sswmQ/aLaUhN+fqO4ZVvzkkq8eegccjO1svkJ4/FrKJRIiGebgFhsNpblcPjcII53D+HOhnIYdcqIrkFaK/e+elhoc8hDsoFIz+DRG2uxakEJZhUa8eEZq0hWBcYF9BoVdGoFumxOPPNuK57e04rnP2hDjiG6IFsgk6mVupytNynhUTBkX1bBUF9WThK5fjVKhthSTaOk3ykl9VBAgZ/tOCKSUT/bcQRMHLahaGyPQokNg0aF+jITNn1jPjasrMVT35iP+jJTWrcj7BnyV8D5/tUVuGuJ/39mvSZtbVWD9lIy89N7WvHMu60YcLihT9NkZq1SSdQHOpX891to1BJtxMIokzMolImCw+0lrh+H2xvVdVJBg/wDgDUADjMM89nFn93LcdzO5E0pcuJRySbaikXjmUPgWHUlWfjGwjJRRZAHlldjaNQ95nVIRHJSWipo1TM09okiqetbzPq4ny6m7RIolInNiMtDlC0jLlp2OZHE2qJHSjdUFWXh2qpCKBQMUQc8fet8HO0ajkn+Gy5uQgWOW5abAeuIG2sbK0UZ4Lwuk2pLWpKtQw6hLSmJQH1SbNJNmHacFApl8hF80jLWij12l498mtJqR82UrKjnxc/jRPcQUad8+sUgRj2sMC+SX+T1ssjWq/DpF4PwscC2lg7cUm/BD1/5DOuXVcniJ6RLpRPKxGU8fv9Y/mu0NhtJPty/fA7KcjPQbh0New2ptTKz0CjMIZwNFNwqITdTjSPnQ+2/pVWFolb1ZbkZeGRFDe577XPZ7KyJ1Eo93hRkaonvSN44ErYoZGyjZF/WRluqyYrFrA+RCY+sqIHFrJd9rKwMFaZk60Sya0q2Dlm6VAjbUyhi7G4vUUbZo9y0igQa26NQYqM4W4ub6i2ifb4Hr69GcXb62m1FWTpiBY/CNDwIAABunw/3XDMTv/zrpZZq91wzEx4fO/aHUxCHmxxncrh9so+l1yrx0PXV+OkbR4Rn+9D11TBo0zOZi5L+SK4fT3TrZ8J7LhzHfQCkdlr6eMsgBkMKWvEbmKsWlIQNKnJRHtANHOvOxTMEIwTwv3APvnkEv7/jipjuI5KAqJ6wwatTKyLKxJW6vlx92KWg7RIolImPUacmyhajTp3EWU0+Yt2Ekdr0OtY9hFlFRqEiRrAO4DjgH5/aG7H8D9x8M+pUIb2v/9+yKtzz8mcw6zVCiVoFA8wpNkKhYNDWO0JsSxppuV6SPnn61vl46+4G9I4ktx0nhUKhxGJTsywHH8sRZfg8S3ZMm/D8PMx6TUjbysB2m/y8SL6ZRqNEQ0U+jDo13j/Vi+V1JUL7Srn8hFiTbCmUaIgl9hCJ/xqtzUaSDw+/eRSb19Sjpb0fLAfsOHgO65dVhVxDaq1UFWVh5xjJVKRWCc2NFUJbF34u617+DNuaFonm2G4dxVN7TmFb0yKMenyy2FkTqZV6vBn1+kKS8Nc2VsLplT/IP9kxGzTENWLWa5I4q/SjY8CBp/acErUieWrPKSywmGVPFB5x+rDxnZNYXlcChgF8LLDxnZN4YvVcWcehUBKBxawnyqipcUjWo7E9CiU2BkY8eOANcSWyB944gm3fWQRLTpInFyeGnR5iBY9/mJE7xidTk/xMLcx6FZ5YPRd2txcGjQoOtwd5memZVCblQxZmyR9v8fo4PPNeq8hGfOa9Vmz6p/myj0WhJAJTBtmeMkVpT034hKOJSLKr10QbtAoOIJblZuDhG2qhVjJjzj9wrKNdQ8Qst74R15hzDnxmBUYdlAqgy3bp+Uk5626fj7hxEGkmLingGu/TxfFOaKJQKONnwOEhypYBBz0FFQ+k9Gak+iz48xazHo/eWIt7Xz0csqn8pRm5QnIp//cLp+VCoWCw73RfxPKftPn2+Oo6rG2shN3tg4IBWI6D08MKrTd4vjQjF9PyMiX1TbvVHpHtQNInd/3hU+xsbsCi8ryovwcKhUKRk1hk3FmrHfe9fjjkpN3axkrYnV6wLDemDgi+Nj+PLpsTW/e3C0GfWYVGPLrzmNCG8sKwM0Q/BF5LpVLA42OxaXeraHy5/ITJVOmEklpE4r9GG4MIlg/FJh1WLihFl21USDZad+0sLL1YmTIQ0lp59MZaqJSA1xf+EBVJLrEciLKqyxb6t+3WUYx6fGPaWdHEhOQ+gDZR6RwYxZZ97aLA+5Z97ZieZ0BNSXayp5dWOFxe/GjpLDzx9glhjfxo6SyMeuSvHjKZ6Rlyot06KvLzAMSlMmH3kIs4VvfQ2PFWCmWioVQy+LevzsLjf7kko/7tq7OgikOLQBrbo1Bio0vCl+8eciJdU13PE2x/3ieom5qkScUR7qIP1Dk4DJYDlAyQa9BEXZAiVUhkvMXh9hHttnhUU6JQEsGAw0P0LweirKBLE46iZKJUr5EKWpECX4EBxGKTDrfUW9C0tSXi+fNjDTu9xCy3YpN0lijLcjjTZ8exriGcujCMl1s6MeDwt5/Zsq8dGhUTNvkp16DFtpYOUdBqW0sHltUUxfzs4n26mLZLoFAmPnkGDbZ/YcVv1lyGQbsH2QY1/mf/GSycnqbHOJLIWHoz3CYMy3Lo6Lfjk45BUXLRxpvn4bKybKHkPMdBqGCRn6mTHC8a+U/afPu3Px4STr0XZelgc3hw79dmoThbjzN9drh9LHYcPCdcT2q84PY+UkSjT5KdDE2hUCYfscg4fvOO5TiRDN+yzy/DN6+px1UVecLnIvG9AufBJ4Dq1ArccVW5kGykUytQlKUb8xDGWHpiPLJ2MlU6oaQWkdob0STOBK6lYpMOaxaVhWwGbnznBGpLTCHX49fKrLsbcKx7CF/0OzDi9OCDVisefvNo2DgGaQ0rGUjGMUg/L8rSoa13RHKdB8ols16Dm+pLMbPAiKriLEzPGztxPl3XfX6mFgMOtyjwrlMr0vYUdTLJ0qkxLU+PzWsuw4DdA7NBDbePhVFLK3rISSIrExabtCjLzRAqHAH+xMziLLp+KKlH74gLRo1SXFXD5UHfiAvT8uSNi9PYHiUdSYTtOCU7I+p9vlSn2ES+56I4VMCZCPTb3ZI/n56f4MkkAIWCwdKqQmxrWoQumxPFJh2qi01x8bsKs3REuy0e1ZQolERQmKWFl2VFtptCARRG6cvThKMoiVf1GjkMCamAfL5RI8x35YJSIdAX7fyrCo146IYa/PT1S/3LH7qhBlWFWRHPh69A8eTuU1jbWAmOQ9jkp2m5BqxfViVrZmq8s11jCUpMliAkhTJR0KoVaKwqxr9uPSDIgQevr4ZOrUj21NKOWPUmr0OOdw8R22C8dXcDZhdlhchypQKS40Uj/0mbb2a9X58qFQwOdtqw8Z0TuKXegn8L6Hn+yIoaWC6WCieNR2rvE3zfvD7Qa1Qoy81Au3VU+D1Jn0yUZGgKhTK5GEvGlTQtQm1JNjEZwO724ek9rSHXbGnvR6k5Q5CNge3SVi4oBcMAJ7qHMKfYKGxYWMx6PLKiBve9JvZRnnn3FAAIMtHHYsxDGEurCiX1hByydrJUOqGkFvHYVLeY9UL7tMoCo2ArAX7bbNPFNkXhDuWMuDw4P+BAVoYaPUNOoj0YbEuR5FJtqYm4rquLQ3/+9K3zcbRrOOw6D5RLwYlUwX87mWw0D+vDA8ur8eCbR4R7fWB5NXwsPekrNwwD9A678eCOgGd9XTUKaHKXrJDsi0BfT040SgW+++WKkO9Uo6LxCUrqkaFWwurw4Kc7LiUJr22sxBy1UvaxaGyPkm6wLIe9rRcwPOqD3eWF1e7GFwN2NFQUyGo7GrUqYivcdG5HmJOpwsM31OD+gL3Nh2+oQY4xPe/Zy7Kwu32CD8V/x142ss4xqQbLcnj7WE9C/C6LWY+7l1QmxEakUBKBj+XQbnWE6IRoEzJpwlGUjLd6DSmxBEDMLc8CkdrU3da0SAggMoy4nDhf2vxkzzAAhB2r0zaKlz9ux2Or52LU7UWGRoUtf29DfRm5fzlpPnxg8Zl3W1Fq1ocEHsdbuj0S4n26ONINbf5dsNpdOD/oxPrthyZ0EJImRVHSiWGnF6+0dPjlmcsLvVaFF//eBsvS2cmeWtoRq97kdcidDeXEz/eOOImy/MMz1rDjRXraIXjzrdikw21XluHH2w/ih0tn43TvCH60dDaeePu4SI/d99rnWGDx60Ve3+TevhB7W/uESkz82L3DrrD2AO+wPLXnFNqto5L6hLbypFAoySCcjAOA3ccv4NygM+Qwwcab5+FE9xAxwcHHiluV9Aw5iZv6ZbkGWHL8tmjHgANPXfQx+IqoL3/cjk3/NB+jHh9RP0gdwtjWtAhLqwqxM0i3AMDhc4M43j2EOxvKsf1AJ7psTpGslfLzqP1MmejIfSAnMNhr1mvw71+vwp0N5cjUKuH1cXB6/esuS6skJjUFJunccVU5Nv71lKQ9SKrCRLIPARD9/+C/5TjgH5/aG9am4m3bSA5zkWy0DbuOoSRbB4fbl1ZygYEC757owm8Cqu78z/4zKM+vSPbU0g672yckpgD+9+rBHUfwwrcuT/LM0ouOAQde+qg9JGbA+3pyMuT04td/axVsGQD49d9a8R8ramUdh0JJBHaXDy993CF6n1/6uAMLLGbZxxp2evGr98Rr51fvteI/V9bJPhaFkgi+GLCj3+7BmT670AZrWp4BXwzYUZYrn+7pHnLiz4e7RDru2fdPY97UbExP0zhir80NhuH8FTxcXhh0Kjg9XvTa3Jgqv3hKOm4fR5TFtSWm5E4sTiQyNt4x4BCSjfixAvcDKJRUY8Tlxe5j3SF+T/UUcrEZKWjCUZSM5/Sf1Om2OcXGiFqeAeED1lKbug63Twgg8vOVKm0ebqyeISda2m1oaf9UNIbUprHUfJiLJc0dLm9EyU/RtI9L9OliqTmMldAUHER9/oOxT2smk8l0MpMyOXB7fVh9mQU/DqhM87PrquH20hO4clNgjK1dRaAOkdK7JFlebNKhubEC7MWe1NsP+Ft5Fhh1UZ12CN58u6m+FC993IFb6sXvDV/Ng99gd3pY9Aw5RYmzhVlaKBiABbDqslK8f+ICvlZbjG++8JGkPcBf677XPhfauEnpk95hF+5sKBfut+tiX3LaypNCocQbhYJBvlGL5/a2hchpvqJQ8GGCpVWFyM/UoDwvE219I0LL5eYlldhzvBtL5xRg3+k+FGbpUGzS4ab60E39e189jHlTs1Genym0aQts4wMAox4fFpXnCf/my17/0+UWzCo0giHIzcAkKX7O4aq2dtmcuDDsxLRcA9FW1qgY3PWHT6n9TImJRB34kPtATnAFoB/98SDMeg1uu7IMT7/bKqyH/7ixFqWmjBB7MDBYHHhgimQP5meGxmEUCkZIMuoZ8ttn03INRP8/2Jbcd7pvzMQmPiYUfJiL9LfBMZG6kizcstCCWzbvTzu5UGTSEqtMFJlo1R256be7RZX/AL8uk2qdQYkNq92Fa+cUi3y/e66ZCavdJbuP5WV9uHVhGX7515OisdK1CgElvXH7fPj2l6bD6nALCRPf/tJ0eHzyx9tGXF7i2hlxeWUfi0JJBNZhN7ptzpCqNNZhN8py5RvHqFPh5sunovXCsLBOb758Koza9N0udvl86B1248ndR0TPtiQ7PfcCWJbFLfWWkLbWvjS1LcZbKCTasUi2eOB+AIWSSjAKjrhXGm2IIn01SJwYz+k/qSzLF29fOOZp21l3N+BET/jS3lLJUIVZOlw21Yzf33EF+h1u/PzGWvzk1cOSY+XevhBuL4v7Xj8sqqgwp9gYUu3hpvpSONw+tPWOhAQlpeajYIC1jZXos7siSn4iBd4mQgLMWHMIl9AkFUTlmWgbxbR6BiXdMGhU+NmOT0Tv9M92HMHWby9M8szSC6/XL8vuXz4HD795qZx2JO0qeB2y/UAnmpdUhugHkt5lWQ5Hu4ZDHPPKwsyQDSwgVJYFb+wFVrnw+FhUFBgFw4v//KY9p3DX1RV44u2TAPx6Tq9Rhp3TL2+eh3vGsAd4nB42ZNM88NpSm+B8klU8oBXvKBRKIOFaqwXbtKTEz/uXz8HQqAe7j3XjlsvLQjbia6aYJG3labkG6DVKIdGUTx4iHQgpNWXgP1bUoL1/FP/fHz4hys3KAmNIy7ZwVVuf/6ANBUadpH55YvVcyYpI6QjVD/KRaH9XznZ/pApAKxeUCuW5Af8a+fdXDyM/Uxty2KrYpBVO4s4qNKIsN4NoD65trISS0DGF9OwevbEWCyzZQmW0wL8NfGeLTeEPmLEsB44Dnlg9FyolM2YSVGAifKZWibIcA9EGTAe54PFyeOANcdWdB944gjfvuirJM0s/+MqrwSXvi03xsf0nKwqGwR8+ahdVBvjDR+2onyZ/GQSDRi0kTAD+9fPLv56k8QlKSmLO0MDhGQqJy2RnaOQfS09eO7+/g64dSmoy4vaG2MxP7j6FzWsuk3Ucl8cHR1C7rXXXzkzrg7g+FsRn+9xt9UmeWXwwZWhC9n437TmFl76zKMkziw9SB55JB1TGi1GnItri6ZywR0lvdEp59krpCoiS8Zz+k65A5JVsecb/TUf/2AkfUslQpaYMvHH4PO577XOY9Rp878vlaFpcjhJTBnGsva192HHwHO5fXo1BhxtalRK//eA0NqyaJ1yfP6EYKFSDA6Ck+Tyyogazi4ww6lToHXahdFUd1m8/FFE58kAmQgLMeOYQ/C7EWjUrUSQyQ5hCSQR9djfxnbZOklOhidgQZFkOb33ehfXbD8Gs16BpcTksZj16R1woyNTi5osbysDYOm3r/nY0LS7HzEIjqoqyMD2PPF+SXH5y9ym8dXcDFAomrCyTqk6xrLoI03IN2HHoPE73jhA/X2Tyb1ANONy4f/kcWO0uIRGXNKdj3UNh7YHAUxJKBpL9cqU2wZsWl2N2UVbMrVDCMRESfikUysSC949KmhZh9/EL8LGXWqsF27QkufXwm0fxxOq5+OHS2bj9dx+H6IZt31kkGTgKlkc/WTYbDo8PU816cJxfZikUDFiWw5+PduP84GhIkJGXmxlqJR7deQwDDreoZZuU7lAqICTASrXzPN4zjOf2thErIqVbYg7VD/IyEfzdWOGTbEpMGULCnVSco6W9X3SPG3Ydww8aZwoVgHVqBR5YXo1fv98q2IMWsx7dQ05s2deO+ZZsITmQh/Ts7n31MJ5YPRefnxtCVbHflgRCW9luvHkenr51fkhlsmm5hpB3vCw3Aw9cVy20tuITKM/bHGAYwGLWi5LOmxsrJG3AdPCrOwYcxHv7YsCBikJjkmaVnnhZlrhhtuXbtKWanAw53cTKAMNOj+xjDTjI8YkBh/xjUSjxZsTtI8qoeLRU65eI7fXb6dqhpCYuL0t8p11BPxsvTi+Lje+Ik/U2vnMSv/1meibfAIBb4tm6velZ8advxEW83z67K0kzii9KBfDQ9XOg16iFlnkOl4d4QGW8OFzkxMDLLNnyD0ahJACrTHulNOEoBmI9/SdV8ceSc2lTlf9Z8N/oNSpimbbAwJRUMtThc4NCT8mVC0rx6J+Pw+lhcdeSCuJYOpUCt9RbcFfAyd8Hlldj2OkWrt877BJawQDkACg/n1l3N+BY9xBO9gzjF2+fxIDDLQSfF1iA2hITTvYMRxV4kypbl8hA3XiScALfhWiqdySL8bQSpFAmIplaFfGdzpwEmeiJ2hA8a7Vj/fZDcHpYdNmc2LS7FTq1AndcVY7ztrHlZywJvlJyuXfEiRkFmcR2axoVgwy1Eu+dvIAT3UMw6zVCax1erwHA+u2HcGdDOfG96eh34KfL54ADsGHXMVF1wHyjJmROLEfW9ZYcA56+dT5O9YyIEnpnFWWFnMgPd7/zp2bjyzML4rLBm8oboBQKJX4oFAxqS7JxbtAZthKslNwyaJXCfwf/zuHxEQ9VKBUQySOzXgOHxyeSn3xVEx8LbHznBO66upI4Rml2Bn7511NCe8zAlm18K7bldSWC37Hj4Dk0zi5AbUn2xdaZZFuZ40IrIhVlhSZKpUNiDtUPsUNKBE/VAx+kyo7NSyqhUJBtH19QfH95XQl+8uph0Xv04JtH8NtvXo5POgYw6mHxi3dOSlYyA6TlzMkLw4I9uvHmeZhVGNrKdt3Ln+GtuxuECpeB9mdb74jo79uto/j131rx2Oq5ONtnR0VBpsgO3LCqDhvfOSH8PW9/pqtfbdCQ/Su9Jv39q0Rjc3iJ77jNQVsIyYlerca2lg5RhaNtLR14bNVc2cfK1muI6yc7Qy37WBRKvBl2eogyKh7JehkSuicjoOo0hZJKTMs1EN/paXny7hMNO8m2xLAzfW2JPKOW+GzzMuWvvjYR0KmVEnu/6SkfBxxu+DgGPwpoCfXAdf6CGnIzOCphi4+m7/qhpDdy7ZXGIb+PIgVfrUGn9j92PtA1Pc+AZdVF2NncgK/MzMOGVXUhf1Nk0uK2K8vw/AdteHpPK57b24bbriwLqXrAJ0MtKs9DeX4mFApG2DgFIDpZyCe6BI7VvKQSSgUTUm3owTePwMteuj7LcZIB0OD5MAzwo1cOYtPuVtEm7lmrXbjezEKjMA8ePvDGshzaekew73Qf2npHwLKcUEJ6rOcRT/iNBdKcxyLwXeiyObGtpQOb19Tjf79zBXY2N0y4DQepd3ciJUVRKNGg1yixtlEs/9Y2VkKvTk+jOxCpDcGzVrus44SrCFFsyohIfpJ0WjCBOkJ/MdhEum7gBhivN3701ZlY2zgTt2zej2//rgW/eb8NaxaVCe0IeL3G38v2A524f/mcEL35SksnhkY9WPfyZ2i3jgqfXffyZ9AqFSFz2nHwHFHXT88zYHpuZsgpCanvR0oPlcWxUka4DVAKhTK54RNFdzY34KUmsk0bTm5J/a4wS4dl1UXYtbYB25oW4Ve3LkCpOQNtfeKqc6SWTfe+ehh/+vQcjnUNYXldCToHHMQx2vtHhWQj/rO8XLOY9bh7SaXI77h7SSWqi00hlV2D9cOfPukUrsdXRPKxSIgeTjRUP8QGnwj+9U178Y1nP8TXN+3FriPdQkn4QFIhMUWq+qLXx4XY3o+tqsObh86JPq9UkBMPXV4fZhcb8fwHbUKy0dO3zgfHQRQnAKTlDJ/cxK+59n67ZKI6yf4kvePt1lGc7BmGy8uG2IHrtx/CTZdNxfevrsBdSyowq9CI/ad7Q2IwG1bVpYVfXWDUEv2rAqM2yTNLP7Iy1MR3PIsmp8iK0+PFLfUWkf6/pd4Cp0f+zSQFAzxwXbVo/TxwXTUUNGpPSUGyJWSUKQ4yajLH9ijpiVrJEN9ptVLeGF9WBjl+mqlL30Rxl9eHHy2dJXq2P1o6C67gExBpgkGrJNoW/GGvdMPHQqg8C1zc097h39OWG6Nu8q0fSnojlz1FV0ACGataA181aQHLobbEJPqbM312Ypm2pXOKxhyX39jlP8v/d5fNKZQlry0x4fA5G7bub8eqy0rJ5fZGLpXbkzrpG80Jw8DTmRazHo+sqBEqMenU/vZrpaYM4gngqiJjzM9DLqRa2EUSLBxPa75kkGrzpVDGwu1lYdAo0bS4HCznD/AZNEq42fR0MgJJ1Il5qWoP9WU5qC7Oill+BkJqbRGsS/jrkjbA2q0O4QQ+/zO+CsUz77aKNvb4BNFhp0d4bzjO3zZowOGGJVePOxvKAfgTevkE246B0ZDWHOuXVWFpVWGIrlcoGFwYjvz7GY8eihVa8Y5CoYRjrEqwY8mtcL872jUstHa+qb4U0/MM+H/LZuHFff5WZVItm1gOOHVhGEoF8HJLaGXRR1bU4Kk9p0SfC5RrHQMOQa/w17zvtc+xwGImVnY92TOMY91DQgs1/np8RSSp9msTvXLNWFD9EBtSieC71jYkXMfLgZSdWWDUwmp3466rK+D0slAwwIx8A9YvqxLd4+VlOcT36NMvBjG7KAu71jage8iJoiwdjnYN4x+f2htSKYwkZ/i2hoFzMkic4pN6Z6XecQUDsCDLnyKTTmSX/nxlLYZHPXh89VyMur2YYs7Aomm5aeFXMxf9qWD/ikn9W5twDDk9IbqseUklhuJQPWQyo1OrQg5jbtpzCltuXyj7WKMeFr/+W6tQTYnjgF//rRWPrKiVfSwKJd44Pf5N/SfePiHIqB8tnQWX1yf7WB4fObbnmQSxPUp60mXztw0O1AdSbYTHQ3FWBtY2VoqqA69trMQUU4ZsY0w0MtRKZOmUeGL1XFHLrYw0TVAcdfuItsXPb0xP20KyhdyI/C3k3F4f0RZ3x0HPUSiJwC1hT0W7VypbwhHDMLMBlAD4kOO4kYCfL+M4bpdc40w0SOXPwwWLImnHRvobqQ1Ivk1MOLL1KjxwXTUe3HEE2w90ioyJAYcbs4uycPXMAnh8HAYulpgjBdL4ig/ApZO+wQlCFrM+ZPxIgs8dAw48dXGTl1eAT+05hcqCTGIA9sXbF8b8POREo2JEi1CjIlffIL0jsbbmSxapNl8KJRxDTi/++29tQltGHwv899/a8OD11cmeWtxJ1IYgabNnw6o6fKk8FyqVQpYkxuBNunbrKJ7acwrbmhZh1OMTXZe0AcZy5M0hhgmt5Mbfy4t/b8dtV5aJnPJHVtTg//3pkNBCg9/UGnC4cbJnGFdV5GFb0yI43D6RHijPzxSSoT48Y0WBUQcGkbfaSEYyaDKSnCgUSnoxq9CIX/3zAhi0KhQataKWkVIyjW9lZNZrsGZRmSiws7axElv2tUPJkOUnxwEvH+jEz1fWYvP7bdi6/1IAV8EA86dmhyQ9BMq1SBN1+cqu/7nrGG6pt4j8qg2r6sZsv5bqiTlUP8SG1PvVPeRMyQMfUu93e/8o/vRJp2B7sxzwf619KC/IxFt3N6B3xH+PFrNeMllowOHGzuYGLCrPC2lvxscJ+BZ+y6qLUNXcgC8GHLCNenFuwCGap06tQKFRG9U7K/WOzyk2omfYhef2toXcd0e/Q/iZWa9Bt80psiE33jxvwn+nkdJlcxL9q5lFRlk3yChAjkEjavXFcf5WX7+4aV6yp5ZWSLWFikdi16jbi3brKJ55tzXo53TjipJ65GZqoOkLipcrGZgN8rctGhqdvLE9SnpSmKXDgMMt0gfx8BXLcg2oKMgUrdOKgkyUpbHv5vaysNo9+OkbR0WxBE88SuBMAOxuH9G2sLvS07bIz5RqmSd/tdXSbD1++saREFv8+dsul30sCiURyGVPyZJwxDBMM4DvAzgG4HmGYdZyHPf6xV8/CiAtE46CKysEnqqTO2g0nsD0+UEn/vfDdjx28RRdtl6DHy2dialmPWYVGeFjgY/b+zGr0IhdaxvQO+LC9DwD/v3Vw6LN1Opik3BNqZO+U8165Bu1QjCUZTkoGODRG2txb8D1ggN5PUNOogIMbAfH4/SwcLi9SQ/Un7XahYoVgXPYeTHICST2HaFQKJGTY1ATHTizPv3L0CdqQ3CsZBg5khilWluMenxYVJ4H4FLLtVGPD2sbK/ByS6dQcUJqc7qhIg8r55eI5ru0qhDbmhahy+ZEqTkD11YVos/uQoZaieaXPhW10Ni05xSaFpdDp1Ji6/52sBzw3N42bLx5Hq6YfukUO0lHrLt2Jn6ybDZ+vuu4KFFL6vtJdDIorXhHoVBiRcoutuRckm/BMo2X4Sd7huH0sFi5oDSk2sCTu09h85rLkGPQYGZhFn74SmiigkbFwOtj8R831qDd6gDL+XVAvlEL5RhyLRo/jPdpApOaOA4oydaFtF9Lt8Qcqh9iI9z7lYoHPqQSzrfuOxOSLHj/8jl4+M2jeOFbCwW7DfAnHubevhB7W/vAccCuz7uEwFfviAvTcg0RJQIe6x4WzYNPThxwuAXZU5qtF+y7YpNO1CoxmHDveGm2HpvX1KOlvR8s56/+vLZxJh7/ywnh86S2j4FJUqlOYZZOdACLuXggK9WTKScmHL775QqhbQTfIoNhuGRPLK3gW9cFy+d4tK6THos2JpCbaA8OU6LH7vLh0T8fD3mft35b/upgZv3kje1R0pNE+ooaFYOZBUah2g/pIH06MerxETum1H2zPskziw9827xgWWxKU9tCoQAeWF6NB98MsI+XV0MVh/a00/Mz8eOvVoliT7+4aV5a+HSUyYlc9pRc0uU7AC7jOG6EYZhpAP7IMMw0juOeBJC2mkqq/Hk8AkbjMTYKs3Q4eWEEzf/7qfAznVqBXWsbhNYEwckwc6ewKMvRC+XK66aYoAqQzlIBvrNWO/5+ug+1pSZ8pbIAbx/rEU4jNy0ux8xCI6qKsjA9T+zQSQVai03kn1tykh+ojyTImch3hEKhRAdf+S0wSDsZ4kyJ3BCMZaMsmgDgWJvApM3twM2mHL0G91wzE7/860nRppgiyBlhWU7QZ8H68sMzViHZiMfpYVFiysB/7T6FAYcbHEeW/yQdsfGdk7jr6grJjeqJQCpugFIolOQTrV0cKMPvbCiHTq2QbJv20dkBPLe3DU/fOh877roKrRdG4GM5dA46oFExePiGWtz/+mHcurBMaKXJ6/6+ERem5WVKyrVo/DBeL3XZnIKjrlMrsGpBifA30ejhWDfFkrWZRvVD9KRbAhrp/baY9f54wNYW0fp/+M2juOOqcmK1sHyjFs/tbQupasYncFcVGdHcWAH2Yn7F9gOdGHC4wcBfEY3jECJvntx9Ci/evhD5Ri0sZj3O9NlxrGsIpy4M4+WWTiERKdzhINI7TrITN6yqw7ypJqHSGQBJ+ZXq7RR5oqmCTRkfDje5/dZ/0PZbsqLXKLHu2pnY+M4lX3HdtTOh18jfekWvVhLjE/o0bfOSLOih0MTQN+Im6jur3S3xidhhmMkb26OkJ4mK2bZb7Th6fjikpZrFbMD0NLBLSbg8LFE2uYJ+li6oGQWxbZ4qOOidJpgyNNj+SYdQdCNDo8KWv7fhsdXzZB9LoWDw1TmFKI3w4AqFMtGRy56SK+FIwbdR4zjuLMMwX4E/6agMaZxwFGl5fTkYj7EhFcT0saFBuHUvf4ZZdzfgRA85EYkfr8BI3uTt6B/Fm4fOYXZRFt47eQEnuodg1mvQZXNi0+5WoQJQYHWHs1Y7rHYXNqyqw/rth0RBOpbjQn6+8eZ5mJ5nwPQ8gyzGV6wB+UhOO0u9Iyd7hsFxgFLhr+JET9VQKIll1DO5g7QTdUNwrABgoM7QKBVw+1iijlAwwL7Tff4gMWGzafOay9DSPoBfv9+GkmwtXvjW5bCNemDKUOMXbx9HS7tN3CZjyCW5Sa7XkE+MdAyMYsDhFqpr8J8LtBGkdITTy0puVFMoFMpEYSwbOvj30fpOgQlK2w90onlJJVxen2TbND6BYd21s0J8CpWCwfK6EiHBlB/7wR1HsK1p0Zj3Wj3FiC23L0Sf3YUSUwaqp5iI90ryaUjJI5Ho4Vg3xehmWmqRjpWhSO+3WskQ13+GRLUwPobRbrWHnETesOsYfnjtLFHy4NrGShg0Svxg22cYcLjxxOq5kpWSLWZzSIIQb6+RkiBZlsOZPjva++0waFQozNIKldnOWu3oHQ61E9dvP4S37m4QxWGkKmumSwWg9n5yFez5U80JbXs/GRiVaJHhoO23ZGXU44NWqRC1m9EqFRj1yP+ch5zeSR2fSBT0UGhiKMwit7XJj0Nbm8ke26OkJ4mI2Z63jRKr/cwtNaVtwlGeUarllvztHicCNqcHW/aJKy9v2deOqiJjsqcWF6blGvDdr1TgUKdNqGj93a9UxOUgT7iDyansx1MmL3LZU3IlHPUwDDOP47jPAOBipaPlAH4LIOUsvEgTUMbT5iwWYjU2pIKYH56xEoNwHf1jO2BKBUIyZJuXVGLX5124pd6CewjBO749Gr+pwLIc9pzoEZRApkaJF77l73Pp8XG4//XDaLeOoiw3A5vX1EOtZEK+j/EaX5EG5EnvRCSnUaXekcPnhvCDbZ+FlHWnSolCSQyjbi8N0k5AwgUAp+UasOtINzbsOoZb6i3CSfdAHVFg1OGMdQTLntwLp4dFc2MFUc+plQqsmFeCxZV5ODfoxO2/+1i41vplVVg8cwRKBdDZb8ew0wO9RiUkzwZe58KwE0oFI7QE4XXB/cvnwKhVomlxuaD/gFAbQUpH8Gog1ascUCiU9CWSBNHg3z+7pp4o8/iKJBazHh0DDsHettpdwt922ZzYur8dt11ZhkdW1IgqaAQmdi6vKxGSfYBLG//bmq6EUkGuLuJw+yT9P95fOdUzIvJ7wt1rON8lGmLdFKObaanHRE0ElxMpm6d6ShaxAo5CwWBpVSF2n+gRgl6Av5LR8roS/DhonT+5+xTuurpCsLlOXRgmjvfpF4MYcnqxdd8Z0XW3tXRg5YJSPPNuqygJUqr97dypJvQOuXHqwjCUCgVRtvSOOEVxmKIsHWYVZaVNNatg2q12yfgSTTiSlxyDGmW5GVheVyK8wzsOnkOOgbYQkhONUonf/v2M8Jx9LPDbv5/Bplvmyz6Wg8YnEkIiDw5PZjRKBR68vhoPvHHplPyD11dDG4e+NjS2R6HExojLS5SHI870XTsury+kyv0918yEy5eeFY7Meg2xRVK2Pj0TrADA7eVEh1I23jwvLuOc6SPHXGbd3UD9HkpKIpc9JVfC0W0AvIE/4DjOC+A2hmF+I9MYCSGaE6GJLn8+ntL4pCCmVNBPr1GN6YB12ZxChqwlJwMd/aPYur8dKxeUCpvA/Oc27TmFO64qxzPvtoo2Wzv67TjVMxJyMrGhMg+rf71PuEa7dRRNW1uwMw5B8rNWOzbsOiYKNm7YdQyzi4xhg4z8OzHWaVTSO8JvivCBUf7Z0I0ACiVxSPUxzkrTPsapQrgAIOCvynfHVeUiPcPriBdvX4hRjxenekZwZ0M5AMCkU0smBvOy9l+e/whOD4tikw631FtC2q/911/9bdH4BFFS8pDdOSDKAH96j984u2tJhdBKg2QjSNkRc4qN+NKM3DGrHCSrZQ6FQqGMldRC+v19rx8Oqf6ztrFSqEjyyIoaPLXnFNqto0JlovoyE64ozxfs9Jc+7sCLty/EzuYGtFvt+PSLQSHZ6PtXV8CSk4E7G8qx/UCnIK+dHhbDTjcuL8uR1AlStv5Zqx2HOm2CvxLJvcrlu8S6KUY30ygTicDqXz+/sRY/efWwyC/+2Y4jeOFbC0W+N2/bGLQq2F1ePP9Bm+gzLMdJVogsNumwckEpMjRKPHpjLe4NGm/r/nZoVAyaFs8QJYs3L6mEQhGaHC7V/rZpcblQwfmXN8+TlC3BcRhLjjxVmiciOrWC+Bw0cdhgnuwoFQy+9+UK/Cyg5P3PrquGMk3epYnCqMeD7y6uwINvBrQWWF4Np9c79oejRDo+QVuqyUmiDw5PVkbcXrzScqmtjV6jwot/b0PZV2fLPhaN7VEosZGdQY6XmvTpu3Y0SiXeOdoVIpsWlecke2pxYXDUheYllUIMnfd5Bkflb285EUjkwauOfjvMeg1WLigVHYyhBy0oqYpc9pQsGoTjuE7+vxmGUQIoDLj2F3KMkSiiEUzxKn9O2kAEIBkI5+cd6YZjuJL/P7+xFhy4MR2wwiydkCF715IKIQjIMCAKW4YJ3WztGXIRSzfWlJgiCpLLsdFqtbtElTJ4xdtvdwljjfVOhDuNGviOnOwZxuFzQ6JqF/wzk7pHCoUSHzQKJbGPsSZN+xinCuECgPwGKsOQK1R0D42K9IpOrcB/3FiDddfOxMZ3Toq+ZwUDtPWO4GTPsJBs9JOvV+HHfzwYopP4pNAnd58SbS49fet8cBxwYdiJ2tJs/L8/HUK7dVSYU1luBnL0GvzXLfNgNmhQaPS33wjUU/zp/W1BPZ9VKgWm5YXXBbRlDoVCSSZjJbX0DDmJPkFJtk6ULBSYyHnfa58LMte/qX8Cdy+pFFUzemRFDUqz9X45mWvAqIeFRsXg1oVlIScVf/f3s+iyOaFTK6BWKnGZxUxsd6ZUkNtMlzQtgtvHQiVRvaTf7gIAnOwZJiY5jdeuj3VTjG6mjR+a0Ds+Ap+f18fhvouVi+/92ixRgjbvFwdWQA62be5fPgc/uKYSIy4fth/oxKY9p/Dbb11OfMdz9WqsWVQmqoL53/9yGawjLmhVSjz7/ml02Zz4/tUVQrIRcOmQ1BOr54Ykh0vJOpa79N//uetYSLVLqYNoY1WzSuV3T6ViiP6VSpka808lRt0+IdkI8L+HP9txBL/9Zn2SZ5ZeKBgFtn9yMWnC5YVe69+Y/PGyKtnHUkvEJ9QKmnAkJ4k+ODxZGXF6cV1dCVovDAttba6rK8GIS/5kPRrbo6QjXi+LI122i3HCDFQXZ0ElcwK3Vqkgrh2tMn3XDsux+PY/+NukggMYBvj2P5SD47hkTy0uKBgFtrV0iPyvbS0dePiGmmRPLS5IxaDisd9qylDjtivLQtaPSUerjVJSE6WCrBOiPdAia8oqwzB3A3gAQA8APirDAaiTc5x4Eu2JULnLn0ttIM4qNEqWaTvRMxzxhqNUyX+VgoHL6w9auL1cyMsVrirD9gOdwt9napX43pfL0Wd3C07F975cjlnFRqycXyIKmNnd5NKNTo9PFEAsNulwU30pHG4f2npHxkzAiiYgp1EqiBWZtjUtEv4m+J3gT02e7BkWnkW4Mfl3BAB+sO0zBAdGeZtmrI2AVA4+UigTjT67Gx+1WfGbNZdhwO5BjkGNFz44gwqa8JdULGY9Nq+pR0t7P1jO3xpg/bIqQe7r1Arh/4NlqZJRCIlFgF+e//urn2P9V2eJTq88+/5pTM3R40evHMSdDeUoy83ALfUWtF4YJuqkwKTQ0uwMvPCtekzPM6C1dwSvHzwn6LofLp2FX7x9QmgF+oPGmTjWPST8vrbUBEuOOJA5np7PtGUOhUKJF5HYnGMltRSbdMQATF6mFtPy/AlJm3aLS/UGylzA3x6NTzbif3/fa5+jsiATDrcPhVk6XDOrALkGDb75wkeiv/vlX0/irqsr8MqBL/D/llXB4faiY8CBf6wpRm2JKaI207uPX0BFfiaqS4wh91qWm4Fzg06hSl5ZbgbuXz4HrRdG4Pax2H+6FxlqJfad7ovZbo91U4xupo2PiZzQOxH9weA5Wcz6ENuGryw05PIJB5V4AuUGybZ5+M2juOOqcjz/QZtwHZZlQ97xtY2VKDXrcfdLnwrJ5MvrSvBpxwAqC4x44u3juKXegt4Rt2R7RYNWiS/PLBA9UylZx/vw/DgZaiU2r7kMbh+L/EwtqotNUX83E/ndiwQlFMg3avDE6rmwu7ww6FRwerxQMem7cZUsRlw+4obKiCt926AkA6fHiyWzi4RDKbw8c3rkT5qw2l348+GuEL91BvXrZMdf5c6/4axg/P+myEt+phbnB0dFP2MYIM+glX0sqdgeXTuUVMXrZfHawXMhh25WzC2RNemoa5isd6bnpa/PqFMrYHN68WBAhcgHrqvGdHV62qpGrQp3/MN0YZ9WpQDu+IfpMGrTs4pVkVFL3JcuyJRf97i8LF76uEPUNeeljzswb2q27GNRKIlgyOG5pBMuHrR49v3TmFkYnT0lt3RZC2AWx3FWma+bMMZzIlSOAKDUBuKv/nkBMSjW0R/dhmPw9d1eDi3t/aiZYsKR8za4vZzQLq1pcTlKTBk4ZxsNccCCqzsVZemwdE4R+uxOfNI+GNImjURZjoH4rKcHBMnNek3IZgXfbmasVmiR4HD7iM81sDdh4DtRbNKJTk1GEwQkBf/5Fj1jbQSkevCRQplo5BrUWFpTjH/dekDkZOQYaCZ6siAl32xYVYelVYVQKBhBhm7YdYxYEratz06U58YMtShIvLaxEhqlAnc2lONI5yB+dl01vvc/n+DOhvKwG0o6tQJFpgxcVZEn2RL0iZvmYu+pPlRPMaHdahf9ft21M1GRbxdVLhpP0hBtmUOhUOJBpDbnWEktPhbESqYLLGawHFBgDL+JD0CUFMAn/DMM8MXAKP7jrWMYcLixYVUdPD6WKA8rC4347pcrcA/hXiJpM+1jgR9vP4S1jZUheufB62vw3d8fEPyDwJacZbkZ+P7Vlbhl8/6o7fZgf3JpVSF2RllNN15VeCcLEzWhdyL6g6Q5bV5TH/L8+Bbr2w90hqwlcQVksm3DV7fctMdfbVKtVMKSo0HT4nLoNUpMydbjbJ8dLh8Ls14DACE+e/OSSmxr6cBN9aWYU5xFXPNlhHUSzocnxQaal1Ti4ZajWL+sKurvZqK+e5GSqVOA4xj8KMDufviGGmTq0nMTJ5mYMlTkU9W0hZCs6NQq4gHFLbcvlH0sU4YaX6stDvFb6XcqL2etdtz1h09D5P942+BSxDh9PtjdvpB4icsnf1KkVGwvl8b2KCnKkS6b5KGbuVPNso2ToyfrHbM+fdfO8KgPv/5bq2g/8dd/a8Xjq+Ymd2JxYlZBJlp77dj85+Mi23xWmrb8GnJ5ibpnOA7V9dxeH7FrjjsOeo5CSQRmg4asEzI0UV1Hbs//CwA2ma+ZUPiAUmAVhUhOhPLBtq9v2otvPPshvr5pL3Yd6QbLRleSTyrIZtCqhDnx6NQK6DUqyQ3Hsa7PB8g2v9+Gpq0H8Jv327BmURmKTTp02fynjr8YHMWm3a246w+f4qzVLroWX7lnUXkepuVlYkZBJrw+jri5cGHIHfJMpueRn3V5fiaWVRdhZ3MD/uuWeSHXW/fyZ7gw7G+F9vwHbXh6Tyue29uGW+otQmuDSOE3GIKfa2HWpQSzwHdi5YLSkIDDupc/C3k2JPjg/87mBrzUdAXeursBX6spwi9vmYudzQ1hA5JSwcdIxqVQKKGwHIQTDYB/TT244wiiFNkUGSHJufXbD6FjwAHgkgx94VsLsXC6Gc9/sx53LanAHVeVY+v+drh9LFGed/Q7QnTSyZ5hPLe3DddUF2HQ4YHTwwqbYIE6aW1jJf70SaeQ/PSl8lwoFIxkS1CWBVbMK0GmVhlSbWnjOyfROyzWUeGShsZCSn/RljkUCmU8RGpzBtu1wbbshWGyfNvb2oevb9qLM9aRED/gkRU1ePPQOeHfVReTAnifhbf7f/TKQaxZVAazXoP12w8hR68hysMsnSpE1697+TOc6RPfC8n/a17il/9ODwu724et+9txx1Xlgt5xey8dWgj2D5bXleCnr38etd1O8iffPtaDabkGLCrPQ3l+ZsTJC4F+WjSfo4xPN8eTiegPkubU0t4vmTTUZXNiW0sHtjUtIsoNKduGC2hfZsnR4wfbPsPbR3vwSksnWBb48R8PYuM7J/GjVw7itivL8M9XWIhJAsvrSjDVrMeQw421jZURxXx4WffW3Q144Vv12PrthZieZ8CAw02MDfDjxPLdTNR3L1KGRn24P0j23f/65xgapYF3uVEqGKIvEm3Je0p4rCNu4prsd7hlH4t+p4lBSs72DKWGnE0V3F7y3oDbK3/Ajcb2KOlGl40sp7pt8sophiHrHYZJX70z5PQQ9xOHXJ5kTy0unOqzE23zU33puZ9oG/UQ32nbqPzfb4aGnJSeoaaJ4pTUxOnxEdeP0xudLy/3CmgD8B7DMG8BEHbVOI7bKPM4cSPWE6FynUaTOmFbaNQSTxEXZmklKzKRKi4FXl8qQHbHVeV45t1WIbgX2EKM4/ynjbts5CpOLg/5hLHD5Q15JmM96/L8TEln0DbqEfUgBfw9SOvLzELbtUgC65G0HFAoGCytKsS2pkX4YmAUdzb4T2d2XTT0+CBgJN8zqQVfYLULKWglCwpFXnqGXcQy9D3D0SUtUuQjXPCPl3OBMvTgF4N4bu+lthyB7T15ef7Iihr84u2TIdd0ev266uE3j2LzmsugUyvQZXMKG8pKBdBQkYe8TC3mW7IF/QQAbb0jGBwVB595Pdk34kK+UQuvRLWNwSAnZzxVFWnLHAqFEg+isTnDtZYO14bI6WFx1x8+xa61DaLqPRazHgssZlwYdiI/UwerYxQP31CDLwYcYX0WLxfaDnptYyVGnOT2zR39dswoyBT5SnOKjdj2nUXYfeICfCywdX87umxO6NQKzC40YtVlpYL9r1MrsK3pSuH++OorPMH/lnqGwb6agkFKVzdJF8ajm+PJRPQHSXNiOX/LweV1JYKNvePgOXCc/zmuX1aF6mITOgYcwgYv77uTbBu+jRrg/3y3zYkumxMsB9xUHxrPeHL3KTx4fXXIvMx6DaqKjOAAtF5w4N3jF4RYgoIB5hQbJeMHCgWDGQX+A1aAf+2+dXcDTvQMSSZXxfLdTNR3L1IuDLsk3lHqX8lN74ib6Mv2jcifCDOZmZKdQVyTxVnyr0n6nSYGvUZF/E71GmUSZ5V+jEp0Exh1y5+A2jNEY3uU9KLYRNY9RSZ5dU/fCNlu6xtJ37VjylCTKxd+W/7KhROBcMlrc6cmaVJxxOlhifog+BnIQa+E39ObxuuHkt4MOb3E9TPsTG7CUcfF/2ku/i8lCRc8l2K8AUA+4Gy1u7BhVR3Wbz8k2kC05BhgyTGEJOcAIG44Wsx6Ysn1pVWFwt9LBcMZ5tLJ3l2fd4WUCedLiA843CFl3MtyyW3SeGHr9LBCFaLARCipZyQVdDNlqIll6w6fs+Hxt09EXF4+kgQzUpsfPvDJbzrEOwiY6sFHCmWiUZSlJZahL8ySv68vJTKk5JzHx4FluRB57vb5RG05Bhxu6NVK/P6OhegecuFkzzD6RlwYCDqBGnxSvqPfgQevr8YDbxwB4E+qnZGXiZM9w3B4vCjNNsBqd2F41IPOwVGc7BlGbYkpbKvNR2+sRVluBtqto6Jxs3Ti0sTjSRqiLXMoFEo8kMvmJMm3e66ZCZbjcNeSCgD+IGf9tFyRH8D7YF4vi0+/GMDT757C//flirA+i1GrgkGjRNPicrCcP3mg1JwBpQISm0oqYiuop2+dj9lFWSGtk/5jp799G9+SyZ8wkYWnb52PQ502lJgysLaxAi+3XDqQMNYzJI3/6I21MOs1wjX4+6QHDBJLLLpZjtbqYzER/UHSnPaf7sVdV1cKp2n50v2zizKxdE4B7C4fPjxrxZFzNgy5fFAyQG2pCUtmFYpsm54hJzw+Dve/fljwuQOTj7Yf6MS6a2cSZUOBUXwoq9ikw21XlolafQX68wDwpRm5ER0E4jnRM4wT3cOSiZVyyc1USibPN5IPw+VnUv9KbnL0aqIvm85tUJJBVaERD91QI1Qt1KkVeOiGGlQVZck+Fv1OE4Pb58NPls2G1eEGywFKBsjRa+Dxyb8ZOZnJMaiJ+iAnDm3Oikw0tkdJL6qLs/DIihqhrRp/mLK62CTrOJPRbusbIScoRtsxJVWQTF6LQ+L0RGBGvoGoD2bky+9LFUkWDUnPZ0tJf8wSvki2ProUIlkTjjiOe1DO66US4QKAgQHIAqMupEIQAFHAuSw3A5vX1EOtZEQBS74VGRdQFlRqw1Gq4hJftnx2cwN6R1yi6hD8nBdNz8GV5Tk41GnDP19RhvO2USH4zZ8a5E8UB5+6nZ5nEILvvPOWl6nFr947DcB/2vHcoBP/8vxHoiCaVHKQxawnGlkGjZKYkfzY6rkxnwbmJMqtkp4lf6r6+Q/aEhIETPXgI4Uy0VAwDF76WFwl7aWPO3DF9JzkTmwSMy3XEJJw27ykEve/fhi//eZC0anys1Y7hp1eKBhgbWMl7G4fOA7YcegcqktMONkzDJYDdh7qEjaIl9eVQKkAqoqy8N/vtQLw67zyvExsfOc4nvyn+bA53PjpG0eE8X++shanL1yAUadG54ADL7d0YsDhxn/cWIN/++osPP6XE8Rqgfe+ehi/vHke7gnatA4Oeo03aSiWBGkKhUIJh1w2Z6B8a7facbx7GDqVAj/fdVy4bmVBJhaw/qTSI102dNmcKDZloLo4C0e6bIL9/8XgKNHPUjD+gxeXl+Wg2KTDmT47Pv1iED4WeOLtE/jh0llYd+1MocVloCwm2feBVZfarf5rbdl3KSFh055T2Na0CNXFJnQOOjA06sXm99tCDmXsP92L//7nBfj0i0GwnL+6y/plVaJnGDy+Wa/BWasdP7imEl8MjIqqKdEDBoklWt1MSh6L9PBLNEitTQUD7DvdF3Oi03iSpQLnZNZrcFN9KaqKsnC8e0gUP3j63VNYd+0skY23trES2w/47aq1jZWoyM/EtLxMkW3Dshxe+NbCi5sADPa3WUXVxqwjLqJscPs43Pu12eiz+zeUZxcZ8fhfjktWSYt2nfHr16zXiJLfedt1W0vHuOVmKiaTF5m0QhI//zwevL4aRdnpu3GVLJQKBdGXvXwa9WXlpNM2ir8ePY/frLkMA3YPzAY1/mf/GdSXmWX3v+h3mhjyM7Vw+ViR/bbu2pnIS+MN9mRg0Crx8A01IcnHBq38laRobI+SbqhUClxfOwXTcg3oHnKiKEuHuikmqFSKsT8cBUadEhtW1eJ0r13YwyvPN8CYkb4V36aYMogb6kVZGcmeWlzgJCpBp2/HSbI+WDqnSPaRcg1qPHBdtdDSU6dW4IHrqpEXh8RaCiURqCR8kYVR+iKyJBwxDPNfHMf9gGGYHUCozOI47no5xpnISAUASZWGgisEzSo0igLO7dZRNG1twc6AhJmxApnBG45jVVwqz8+UnPOi6bl4+1iPSBkFngDkTxQHX5PH7eVCnDcAFx2MWjRtbQlJhJJKDuoYcOCpi8FAhvEnBT215xQeWB5aJt3pYXH2Yg/SSE8DRxIglnqWdSVZ2NnckJAgYKoHHymUiYbN6SZWSRty0pLlyUKhYDAlWyeS97zeOdY9hOl5oQm6gRtWGhWDu5dU4l+e/1D0nX58xoqmxTPw8JtHRT+3OT1Yv6wKahWDlnYbrui04fkPLiXhmvUadNucRF34769+jqdvnY+mxeUoMWUQdYTT4xNV26gszIQlJ3TjiSYNUSiUiYScNicv36blGqBUKEJ8gPXbD6G6OAufdQ6GHC7IMaiFv91+oDNkU//RG2uxwJINS87Fgxkc8L3/+UQkj3/8x0N45qKsDpbFH56xEmV395ATi8rz0DPkxKbdrSG/9/hYvH2sB8e7hwR/h//dk7tPYeu3F+K8zSnMRadWYMOqOiytKhQ9w0D/glQpL7CaEj1gkHii0c1ytVaPZE6BazM/U4cz1hEse3JvzIlO402W4uc0Z20DPukYxL2vHibGD5bXlQjJRsCl9cIn/Dy5+xQWWMwhFYb4NmvHu4dDqg1va+lAfpYW91wzE7/860nR73qHRqFVK0UxieCKRoFV0qJNDuLXb2A7Xq3Kf3BLoQCW1RSNW26mol3o8QK/eq9VZMv/6r1W1JelZ5uKZGIbpb5sIrDaXZg3NRf/uvWA6Dn3212yr9FBie90cJR+p3LiYyEkogN+XbDxnZNonF2Y5JmlF24vB5WSEdngKiUDt1f+bW4a26OkGyzL4a8nLsT9MEP/iBtOjzgB88Hrq9Gfxq089VqVEOMFLvkk11Slpw74YmAUW/a1i2zzLfvaMdWsxzyLOdnTk51+h4uoD/odLsyAvHZbm9WB//2wHY+tnotRtxcZGhWee/80irK0mJZvlHUsCiURDLvI9tSwyxPVdeSqcLT14v8/IdP1Uo5oKg0FVwj61T8vCJscBEQeyPR6WRzpssE26iGW9g88uRfNnINPAPLVgIKvSfrsxndO4sXbFyLfqEW3RO/QniFyclDPkBPt1lE886444G/Qkftuu7wscV5SRPJcpapXVRYaExoITOXgI4Uy0dCpVMQqaS986/Ikz2xyk2vQipJ+AL+8PdkzjDnF/tL1JJ364u0LoVMrcMvm/cTKdz++2EIj8OfbmhahtiQbZ6126NSKkDajKxeUhjiigbrQ6WFRkKnB1Fxyidpzg6PwsRASdCvyM2mSKIVCSQnktjkVCgZqJUP0Ac5Y7UKyEf+z+177HFu/vVCQrfymftPictSWmFCelylUjGU5/8EPqQMCR84PAwAus2SjLNcgJAGMVZ3W6+OIv1crFVj38me4s6GcON6IyxuSWLF++yH/vAOeZ+D4pEp5gXqK6o6JzXhbq0dD4Nps6x3BXX/4dFyJTuNJlgqsjKTXKIVkI/46gTaTUiHdyp3/b4fbSxznTB85NvHY6rk4P+jA/37UIQqib2vpwEM31AgJAqT5AP713FCRh5XzS6JODgpcv102pxAjWV4nb5JZqnFhmBy76R1xCpVKKfJg1KqJemPL7TS5S040SoWkfpabLB39ThPBhWGyzqZySl4cbh9+8qfDIXZ0POJtNLZHSTcSdZhBqVAKVSn5cR544wheTGO90zfiIuoAq92FSqRfkkhhlhYa1SUfh2EAjYpBQZq2nFSAIeqD/7njCtnHMmhUOHlhBM3/+6nwM51aAb1G1oZSFErC0MpkT8lSi4/juAMX//9vAD4C0M1x3N/4/8kxRirABwAXleeh/OLGolQAMjC4ZtD6k2cCCU6YCb5OsclfBeJkzzDaekf8gXEvi9cOnsMtm/fju7//BL95vw23XVmGYpNO8uRetHPmq0n86ZNO4jWlPsuBQ3l+puS96jXkco18MC/47wuNWmy8eZ7wu7HmBfiDom29I9h3uk94ZuECxDx8JajAsWg7MwoltbGNeohr3zYaXdYuRV6m5Rrw6I21InnbvKQSr7R04sKwM6yOcbh9xN853V7iz0c9PigUDCxmPTavqcfsIqNI3wQnIPGf43XhyZ5haNQqLCgxh+iIh2+oQYZaCYbxV+bYtLsV3UNOUCgUymQl0KYvNunw/asr0NxYgUydCma9RvS3Tg+LQYcHj6yoET4z4HDDkqPHlyvycaJnGMue3ItvPPshbv/dR/jbqV7YXV6sbaxAsemS/8QfRti0uxUZGqXg6wDh7fszfXbc9/phNC+pFP1+w6o6ka4h+zSqMX2L4PGl9A2vpygTGyl/Nd6t8CLxY+N1Db4y0tc3+dfh7uMXwtpMVUVZxGcUeIiJVAWSZTkc6xoiXrv1wjBe/Hs7/ulyC57/oA1P72nF8x+04ZZ6Cw5+YSN+Rqm4NN6GVXVQBEXDSPECEpHGByK9XrpQYCSvhfxM2hZSbvrs5A2zPrsrSTNKTxxuH8x6Db5/dQXuWuL/n1mvgcPtk30sq8R32u9I30oTySBZOnuy0W93k99nu/zvM43tUdINOWz8SOgdcRF1XN9I+toSk00HGLRKfP8rlYKv9NzeNnz/K5VxaW85EbBK6B5rHHRPYZYWaxvF8aK1jZUoTNNkLkr6I5c9JWvKHcMw18Ff5UgDYDrDMPMAPDQZWqpJIXV6NjC4xifPBJdKDAxYBV6HVHZ/483zYMnJCDkh/OTuU3j+m/UoNmVEfHJPas4NFXlYNb8Ew04PpucZUGzKQHVxluiafJAp+LN8kMnt84W0RGheUgmPT/wy80i2qssxwJJjEJWUVyqA+ZZsYusHqXLxswqNkqebecK1lgg82VmYRducUSipQn6mVkJWUcMwEuIl+xQKBgss2ULpbb6t2oDDLcjlcDKb9Lvy/MywVSzePtaDdS9/BrNeI+ptrWTI11MwENpyDDjcmFWYiaVVhdi8ph6HOgdRnp+JDbuOwe3lcFN9KdZdOxPWEReKstLTgaVQKJRI4G36DbuOicr0bn6/TWg33WVzotikw031pQADzC/Nxqv/35XoG/HA6fGhPNeA80Ojgj1fbNLhlnoLvvf7S61OAltX87KaFEQMZ9+399vRbh0VWiXxlVNyDWrBTyK1edt48zwUZpHti3Dj94648Nze0Op+6Rr4TDek/NV4H04JV6UBZy0XAAEAAElEQVQr3tcIPnnNcmSbaVahEXdcVY7/fq81ZL3wa5V/XnzrXHHlJBXODzqI126cXYAvzchFUZYOS+cUoaPfjk+/GMTW/e1YdVkp+TOzCjB/ajaUCgbHu4bwn38+LrS5X1pVKNiEgd8jqX1FJK0nx9uuLhVRKoB1184U2hXp1Aqsu3amkOhFkQ/qyyaGYpMOt11ZJmqxvbaxUpTcLBdS32lepibMpyjRkiydPdkoMGpRlpuB5XUlwoHrHQfPocAov4yi8pCSbshh40fC1OwMoo4ryc6QdZyJhMWsxyMrakLauVvM+mRPLS74fBx++oZ4r/inb3yOl+NQqXEiYNAoiWtHqtDFeLDkGFBZmClqHVpZmEk8REOhpAJy2VNy1/j6GYCFAN4DAI7jPmMYZrrMY6QUJGcmOLgWnDxDClgFXodUdn/dy5/h2dvqiVloI04vyisiL7ko5YBdZjGPGYRTKiDasNWpFbh/+RyctznAMP4Xd1tLaNnzZTVFxLmMFcwLbvcwLY98n1LlKHetbYjI2SS1lpiMQUQKJV3QqBg8cF01HtxxRFi/D1xXLSo1SiETb9lnyTFgdlGWpFwOJ7NJv5tXmh3y8w2r6mAx60W6ocvmxJZ9/pY9JaYM9Dvc+LevzsLjfzkh0mdDox5hYxwAum1OGHVqNG1twR1XlQvJS8GJwZZcv66n+oFCoUxGeJu+JFsX0v7yyd2n0LS4HK+0dIYEPR9ZUYOn9pxCu3UUOrUCj95YC7Negy6bk+gTPbn7FDavuQwt7QNCYqjURpJU6ziDxl+RlW+VBPgd7cWVC0V+Et/mbWahEVVFWULCxFi+RXDS7mVTzXTzK4WJJPkkHsixaRrrNYJPXpMS8DasqsMTbx9Hu3UUANA74kbT4nLMn5oNS46BeFiIZGPec81M/GTZbPx813HhZ4/eWBvSbnB6ngGjHhYDDje2H+gMiUlsvHkeeu0uoQ0df/Bp6/52rHv5M2xrWhRT+wpOomhRotphTCR6R1zIUCtFgfcMtRJ9Iy7JOA0lNjQqBg9eXy20QtGpFXjweurLyo2PRUiL7Sd3n8LSOeT45XhQKRQhcmttYyVUwaXYKONGo2JEcoquG/nxcT78f1+pCJFRLEc+bDweaGyPkm4kKjFSr1ERddw1swtlHWci0THgwFMX2yzz+5JP7TmFBRZzWtrnfSOJq/gzEcjUqYj6IEsnf5szhYLBklmFKM/LTGgMgEKJF3LZU3KvNg/HcTaGEU0ivetGj0FwADJcJR5SwDswID2r0IhdaxtwvHtYsrzV2sYKvNzSKWyE6tQKFEV5+kYqaBpJ0IzfsL3jqnJoVQpUFPgrPfCbBBtvnof7l88RAn1luRl4+IZa9FxsNRNOMEsF8yJBqhxl95Az5gDxeIOIqVYdKdXmS6GEY9Dhxa//1ipyMn79t1Y8sqI22VNLKLGs63huoPDzMevV2NZ0JTiOBcMwcLh9OGu1Y1quQSSzi7J08LHAh2esKMzSYWlVIXY2N1w8Fa+E28eiY8CBa2YVYPOaerS098PHAhvfOQG1UgGzXi3SDV02JzbtbsVdSyrw3N42PH3rfLx1dwN6R5xQKRT44SufCRtnwCUdy+sYvi2OVGJwJM+IyloKhZKuKBSMZPvL2hITLp+Wg+9saRHJzvte+xyPr56LEz3D2H6gE/e+ehhNi8uxaXerZCsytVKBFfNKsLgyDxqlAn0jbnx8th+FWdqIEj/58tjBm35FJi3OWu3IN2qwrWkRHG6fIKcBCLJ7TrFR0B2878frKYtZTzzAwesvGqxKTaSS1+I95ngTnWK5BstyMGiU2LCqFnqNCucGHXjx7+3Y1tKBbU2LMOrxocDof9cNWiUOddrAcoCSAWpLTfjyzAIhuYjlIIoDkGzMX/71JO66ukKw2RUMsMCSHTLH4HvhKx/1jvjvS8EAy57cK7r2posbDs+824ouGzlewM8v0C4DMGbyfbh2GFLvSarbgFqlAv+x81jIqch0PUWdTIacPrzS0oHHVs/FqMsLvVaFF//ehh9cMyvZU0srLgyT13HviBMzCuSV991DTvz5cJf/O3V7odeo8Oz7p4VkZoo8nLXahXg0j06twM40TgZNDgr86r1L8TYA+NV7rdiwqk72kQYdXmw/ECoPS81UHlJSk0QdZvhi0EHUcZ2DDlQWGWUda6LQM+REu3VUOFTEE84+T2UMWhWWzsnDPy+ajgG7BzkGNX6//wz0GvkTcCYCDAPiXs9T35gfl/FYlsOw04NBhwcZahVYlksp341CCUSuvVK5pcsRhmFuBaBkGKYSQDOAv8s8RsrCcX7BZ8kxRHTCS6qKxJxichuwY13DeP6DNlErgUdW1KC62BT1XElB00iCZoVZOgw43Hjm3VZ8/+oK4qb0W3c3YGdzA/rtLvSNuNHS3i8KQi6ZVSgIZ7kqaYQrRxlrgDiWICJPpPc1UYKOtJoTJd0Y9XiJTsao25ukGSWeWNf1eGRftPMJrmzBz688PxPTcg3E+S+tKsTx7mHc/ruPhZ///MZa/Nfuk6JkoQ27juGJ1XMlW4iunF8iyNwZBZnwelncvaQypPRudbEJHQMOUd9mqU3wsZ4RlbUUCiXdkbLJZ+RnSuqXEz3DeG5vm1CNZObFlsgZagXxWrzNfLx7OKTKbGVhpsjXAELtbYtZH1Iee84UI46cHw6Rz1dMzwVATj4gtWjavKae6B/xG13pGOikxA85Ep2iuQbJTlnbWInvfbkcU8wZoqpDLMvB7eWw+f02UdWjAx39yM/U4mhX6HoKTgQH/GukwKhFx8Aodhw8h/XLqiRL1ZPuhU8K2He6j3ht5mIL3WJTBlGeeHwcvr5pr2ieswqNYybfR9sOg/RsH72xFgss2SlTIbNvxA2zXoOVC0qFDebtBzrT9hR1MmFZFktmF+HHfzwoqtjli0P1kMlMgVSbM4P8rZqKs3X4Wm2x6DuNV/u2yUy8YhkUMV4fK2qhzMsor09+GeXjfGR5yPpkH4tCSTTjOXw/FplaFVHHGbTpmYwCAAVGsn2en5meunaKWYtrqorxr1svtaB/6PpqTDGnZ8vJvmE3ca/HOiK/L+L1snjt4LmQPYIVc0ugUtHqlJTUQ669Urnf/rsBVANwAfgDABuAtTKPkVLwgaOvb9qLbzz7Ib6+aS92Hen2n+hjObT1jmDf6T609Y6AZcVWhFQVCR/rL9UfuLnZvKQSf/qkUyh/+NjqOmxrWiSrkOODZoEEB834so/hNlx7R/yOXF6mFmf67Nj8fhue3tOK37zfhlM9I+jot4/5DM5a7YiGwHnx8x5vOcpInocUkdxXuHcn0cj1PVAoEwWzXkNcv2a9JkkzSjyxruvxyL5o53Pfa59jeV0JcX5S8z/SZQv5+U9ePSxcBwCKTTrcUm/Bj/54EM1LKkN0w+XTcoSAI6+nOwcdqC8zY8vtC/Grf56Pbd+5pGN5HbPj4Dk0L6mE8uLmVbTPiMpaCoWS7oSzyaX0C8ddqkZyU30pZhca8efmBkzN0WNto1iG/+KmeZKVUp7cfQqHOm04fG5QsKdJ9vbbx3rwlcoCrJhXgqsqcrFiXglKsw1E+Xz43CDO9EWuj1ra+yU3uiiUiY7UuuqzuzE9N1OUFEP62/XbD+G9E33406fniGtGf7GdYSA6tQLt/aN4bm8b1l07C0urCmNKvpGSLwrGH1upLs4KkU0bVtXh/tcPh8yzvd8+5jomybpHb6yFggHRnyc9r3tfPYw/fXouaTGAaDFlqHHblWV4/gN/fOe5vW247coyZOnUyZ5a2pGhUYVUU9205xQy1Om7SZgMRr2+EDtjbWMlnF75Exm8Xo7Y2sbrm/hrP5WIVyyDIsaoVRNlVKZWfn2g15DH0muo7qGkJonaD9IoFUQdp1Gmb7KEUgHiPafrLffY3PjpxdaWgF8+/vSNI+ixpedhgEwd2ZeMRxLdkS6bkGwEXNrDONJlk30sCiURyLVXKvdq+0eO4/4dwL/zP2AY5iYAr8g8TsogtXk46+4GnOgJPdUXSRnu3pFLbcCOdg3hWNcwtu5vF9qoOT0sHC4vGirzZb2XSHvI8v2wKwvIlZh4R65nyEV0qBdYzEIFKLlOn8SjHOV4eupGcl/xbFsULfQUECXdGHJ60LykMuTE1ZDTk+ypJYxY13W8+olLzSewS2vg/KT+XqolRqADGdjybOt+fxtQpQJonF0gnM4PPGlu1mtw25VlovY6G2+eh9rSbAABOqbIiH67Czq1EmW5Btz76uGonhGVtRQKJd0JZ5OT9Atf1Qjwy0NLjh4qJQOWA378x0Mw6zWiVkvVU4xQKBhJecpywO7jF3Bu0O9PSdnbwRWHpKqj7D5+ATMLjBHrI5ZDVFVPKJSJRLh1FdxiKJxdx3Lkg0ken09SBvAJS7UlpphsIpJ8Ca4gFCybrHaXqDomP0+DhnwiPHAd89ebdXcDjnUP4WTPMB7/ywkMONzE6pXhnm2yYgDRolIyxPjONtpSTXYuDLvIscJhV5JmlJ50Doxiy752UWuBLfvaUZ5nQE1Jtqxj9Uh8pxfodyor8YplUMT0O9zE93nAIf8mN5WHlHQjUftBF4adRB03Y4Lbm+Ohy0a+53lTsyPqRpNqdEv4F3zL6HRDrWCwtrFSFLtf21gJdRwqxUrtPXTbnJg7VfbhKJS4I9deqdwJRz9BaHIR6WeTBqnAUUf/2MZDJG3Ahp1e/OiVgyF/UxRD2d2x2ndFkrQT2A+72KQLeUkDHTm720t8No6AMl3RliIPhxwl54OvF2sSUyT3NZE2nuX8HiiUiYBGpcS2lg6Rk7GtpSPqvqSpTKzrOl79xKXmE1hCOHB+Un9fbCL/fHZRlpCZXVVkxJ0N5QD8rR74cpFfmpEr3Eegk79yQWnIBkqwzg7WMXOKTZg3NTuqZ0RlLYVCmQxI2eSB+qXdasenXwyKDlXo1Ap025zoG3HBx0Ikx/m/+dKMXEzLy5SUpwoG8LGXNvAjtbelrudjgVMXhiPWRzsOnsOGVXVYv/0Q3eiipBzh1lWwrSL1tzqVAmW5BuLvcgxaLLDkYHZzA072DOPwuaGQg1Wx+sKR2K/BsmnY6ZVoNaGMaMNaoWDAMAiJ15A2jcLZwamSfN5vJ28w99OWarJTYCS3+srPTM8WGcmi2JSBAYdb1Fog1njrWGTpyImMRh2tWiUn8YplUMRo1eS2x5o4tJmh8pCSbiRqP6gwi6zjCrPSd+3oNSriPes1yiTOKn4US/gXhVnpGWM+b3Piz4e78NjquRh1e6HXqPDs+6dhydVjvsxjSbXjjoeNSKEkArn2SmWx9BiG+RrDME8BKGEYZlPA/34HILomb6HX/i3DMBcYhvlcjrkmmuByrcUmHZobK+DysrizoVzUj5s3HngiaQNWXZyFR1bUiP7mkRU1qC42RTXPSMs18kG4ReV5KM/PDHHKAo2iLpsTuz73C/mnb52PbU1XYmlVIQB/ixpwwNrGCtEz0KkVsORcur9YWqGN1apOTsZ6HlJEcl8TqdRvPFrSUSjJxKxX4wfXzBSq3qgUwA+umQlzxuQpuzyedR2r7It2Po+sqMGbh84R52cx67F5TT2aGytw15IKlOVmXGyJYcKGVXWi6zQvqcRvPziNl76zCHctqcCP/nhQaPWwZlGZsCnMy1eW5dA77MKdDeW4a0kFjDqlpMMv5zOymPUhc49W1iZSB1IoFIrc8JWOLDkGVBRk4ub6UkFG3798Dg519uPcoBPffOGjsHKcpFPuXz4Hc0tN2HvygiDDI7W3STqHb2n9cksnHr2xNkR2VxebQuawflkV/rGmGDubG/BS0xXY2dwQUumEQpmIsCwHBQPhXefjGo+sqMEV03NgMetFf09ag/dcMxNGrQpPvH2c2NKW3/Qtz8/EzEIjnv+gTUg2AoCy3AxkqJUx2zhStpmU7eT2+ULm2bykEk6PD8uqiyJax+E2jcZ6XryMSZXkc6mWeHoNTZiQG1OGEg9dL44DPnR9DUz69NwwSxbVxVl4fHWdoPvXNlbg8dV1UcdbI8FsUOPnK2tFY/18ZS2y9ZMnPpEo4hHLoIjRKpXEtkU6lfwyyqxX4uEbxPLw4RtqYDZQeUhJTRK1HyTXnmIq4fb5cM81M0P8E4+PHeOTqUntFBMeCpKPD91Qg7op6fkdF5t0uPnyqWi9MIwvBkbRemEYN18+FcVx8KMm4/qhpDdmvRrf/XKF0B79+Q/a8N0vV0S9VyqX538eQAuA6wEcCPj5MIB7xnnt3wF4GsCWcV4nKQSWayW1ZOFLhHfZnJJluMOdvFCpFFgxtwSVBZnotjlRZNKhutgEVZSnBuQq1xh4Mq/YpMOymmL8+I8HRSf/NCpGqILEOx1b9rUL5cWn513aWI329AnLcthzogeHOm1gOUDJALWlJiyZVTihnMhI7msilfqlp4Ao6Yc/oWTz+23C+lp37UxUFkyeJLqJtq5J87GY9VhgMYfMj2U5vH2sRyQfN6yqw9KqQqhUCvxjTTHMeg1a2vvhY/0Z2euXVSFTq8LDbx4V6bpNe06haXE5ZhdlYVquQdRKjb/2/cvnoCw3Q9RWQ26H3+tl8dbnXdj4zgmhxVt9WQ6+VJ4b8XdCmjupbQeFQqFMVKRk8NCoB5vfP42fXVeN7/3PJ2PK8bNWO/KNGrz8r4twts+B1t4RPL2nFQMON5qXVMLm9Ah6ZSx7m6Rz7l8+B9s+6hB8uAWWbOwk6FMpPStn1VUKJd4Et5m992uzodeqcN9rn0vaG4Hvf8+QEx4fh+NdNvx81/GwLW15gtdmWW4G7l5SiVs27xfZflOydcg1aGO2YcPZTrkGLfGU37KaoojXcaTVK0kt2LbuvxQjSYWDPkUmLR68vhoPvHFEeJYPXl+NIlP6npRPFm4fh5db2oUT3BkaFbb8vQ1VU6qTPbW0QqFgoGAUopjBL26aFxe/imFAjE/MKqK2AiX1yM3UwKBRomlxOVjO3/bYoFEiN1Mj+1guDweX1ycay+X1weWhB68oqUmi9oMUCgbZerVo7WTr1WkdO8zP1CJDrRDdc4Zagbw0rYim0Sixom4KyvMMQkebuikmaNK0opNOo8Cw0yuypdY2VkKnlb+63mRcP5T0xsey+PXfWkWxj1//rRWb/mleVNeRJeGI47iDAA4yDPMHAAyAmRd/dYLjuOiavIVe+32GYaaNc4oJQaolGR9o6x124ZsvfBQSIL/jqnI8/0GbZBnusQJZCgUDo04Nh9sHoy42wSZXucZAo2jlglKhnRp/vXUvf4amxeWinz25+xRevH0h8o3kQGHgMxir7VtHvx2nekZCFEtFfqaoF2vgdQqMOigV/opMpGvGi7G+24mYDEA3RyjpwqDDi43vnBTJoo3vnMSc4vokzyyxRLqux5K90RDuWqT5kOZHSpJdv/0QaktMKM/PhEqlwJfKc2HKUKHL5sTSOQWoLjbh4/Z+oq6bPzUbX55ZAIWCQVvvSMi1H37zKH558zzcI4PDz7IczvTZ0d5vh0GjQmGWFqXZevy9zSq02OHL++rUCuyMIvE3Ub3eKRQKZTyE0wMkOfbwm0dxx1XlaLeO4tMvBsPKcQCi5IHmxgrBL+DZtOcUNq+pHzMpiCfcnGxODx6+oRZdNv9ni7J0QkUWmlxESRXGsvMC10CXzYmeYTee//PxMe2NYD/ey7KiasiklraBnw1cmxlqpZBsxI+5fvshUSxlaVUhOgYcsNpd0CgVcLh9ovsh3Wc422largHrl1WNa8NnWq4BT986P+RAFOkaCgWDGQWZmJ5nwJziLHxpRm7SYwDRwLKAyxO06evxgU3PQ+NJpXvQhZZ2G1raPw35eW1JkiaVhpy12vHDV8Ty4YevfIaqYvl9q/4RD41PUNIGS44BZXl25Bi0sLu9MGhUMGYoRR0N5GJw1ItH3joWktj73G107VBSE4WCwdKqQmxrWoQumxPFF4sLyG0LnrXa8fCbR7G8rgQMA7Ac8PCbR1Gel76+q48FHg3wYQC/vPiHivwkzioxcPBv2qczA3aPUOgDuLTvXFcqf9Whs1a7UFCDJ9oYPoUykegZcqPdOipqOcn/PBrkrm38JfgrEZ2FX4ZNZRjmmxzHvS/zOCEwDNMEoAkALBaL5N/JuWkafN1wVQXK8zMlk3rqSrKw82JAK9q5yFXNINKTd2MRGBg82TNMvN/gyudODwsOXEQb3mPda8+Qi6hYFljMQsIR6TrBVZaWVRcBQFTvSjzerURsUkS6diiUdGLY6YVZr8HKBaVgLi7T7Qc6MeyMvAvoZFk7clbNketa4ZJkp+UacKbPjmNdQzh1YRgvt3QKsn1WQSZR1+k1Kpy12jEt1yB5bZ1agbfubkDvSPQJoLx+sNpdOD/oFBKLeP1TW2pCi0QyVDSJv4nq9S4Hk2X9UChyk+prZyw9ICXHeF3NchDJ8WKTDjfVl4KD325XMBAlD7AciNdTKxlRsiu/+d8zJE4W4n9Gusbl07IxszATTVtbwvoUqZAoMFlI9fUTDyLzscVrgGHI66pnSNre4NdZpDGHYN/aandJygY+SeiFb12Ow52DMOjUQkVLvhLS1+YU4a8nLoTcp1mvDms7yXEAyO3lRAeiNt48L+zfT8RExUjWzoVhF57/vzOijavn/+8MZhVlYfoEupd0QKdWEteSLk1PrCeLbhtZ/4eTdSQiWT9yxCcolImE28vh5IVhIdm2piT6DV+6diiTEVJ13Wj9ykjWjtXuwi31FqFYAN+Jpd/umlA2qJxcGHYS5UXviBMzCtLvnt1uH147dB4/ff1SVdqHbqjBiropaVnlaNjpJdpt0eqDSNZPt438LkVrI1IoE4UMtYLsX6qjqxAmdz2xjQCWchz3ZY7jFgP4KoBfyjwGEY7jNnMcV89xXH1+PjkrlQ+mfX3TXnzj2Q/x9U17setIN9jgDJgYkDoZd9ZqF/6mwEjuwVpRYIy5b3Qk40YCX5kosO/keMs1mvUa4v0G32akiU2R3KvdTVYsDrc37HWe3H0KKxeUCtfs6LdH9a7E892KN5GsHQol3SjK0uK2K8uEvqTP7W3DbVeWoSgr8jKqk2XtyKVn5LyWVE/zoiwddh3pxj8+tRd3/e+n+M37bVizqAxmvQbrXv4MF0Zc/nKqAbpu3bUz8YNtnwlyW0pXl+UaMKMgE4vK8wTnoa13BPtO96GtdyQi/fDeiT4h2Yi//yd3n8K5gVFhEz143GgSfxPV610OJsv6oVDkJtXXzlh6QEqOcRdF7I6D53D/8jnQqRUoNulw25Vl2Px+G779uxZ8fdNefNIxCLNeE/L54H/rAwJsY9nxUnPSqpREmR7oU8SiKynxI9XXTzyIxDaTWgPB//b4uLD+b6QxB9KaPD/oRFluRsiYvGxweljsa7PC5vSFtM9dv/0Q/n7Gig27joXcp16jIt5LhloJluWE5B/e/os2ZiOnHZ1MIlk7bq8Pt9RbRP7VLfUWuL2+BM82/TFolSE+zdrGShjScPMomWhVoUF2nVoBtTK6UHok60eO+ASFMlFot9rResHffeDpPa34zfttaL0wgvYodd941k4hXTuUFEUO2zGStaNRKkI6k2zacypqHZdKFGXpyPJiAsZM5eDQeZuQbAT4v+Ofvv45Dp23JXlm8SHHQN6LzjFE184zkvVj0CqJ75Ke2uKUFEWvUUn4l9HVLJJbg6g5jjvB/4PjuJMA1DKPETNnrXZs2HUMd1xVjruWVODOhnJs2HVMlmBPuKoCPEoFiF9aLHqcZTm09Y5IVhEKHDcS+MpEO5sb8FLTFdjZ3BBV5jQ/n32n+/B/rX24/Xcf4QfbPgu53403z8NlZdlobqzAXUsqsLaxAv91yzxY7a6wG7ZAZM+4LMdAVCyBZVvHOjntP7Hkisq4S5dAIoUyWXB6fcRqaE4aEA8hEtkb72sF6pi23hFYzPqQDatHb6zF0KgnRBZv2nNp83dfmxVb9rULdkDT4nLoVAqsXFCKOxvKcaJ7CColJDfDAufx0Rkr/nKkG/932orXPzuHPSd6iDosUD9IVQTQa1TYcfAcmpeIdeaGVXVRt+2QO3mYQqFQ5ERKD/QMOf2b+wzwyIraEH/pT590oiw3A+uXVcHn4/CbNZfh0RtrQnT5va8exk31pcK1tx/oDPFHmpdUwuO7NAcpO/7wuUGwLIdpuQZsWFUXco0D7QNj+hSx6EoKJZFEYpsF2xc7Dp7DwzfUhKyJ+18/HNb/DY45vHV3A6qnGPHx2X7sOd6D0xdGhMpGpNa5D14fOuafPukU/u1jpasvfdIxgOV1JSE/9/h8IbZT85JKNL/0aUwHiIJtVqnKTOkoG3RqJXHjSqemgXe5GXJ6UGTSoWnxJZ+myKTDsNOT7KmlFTanG/dcM1MkH+65ZiaGndG1FogEGp+gpBPnbaPE9/m8bVT2sXwcRxyL5Sb+AWAKhYScMdhwONw+mPUafP9q/x7dXUsqYNZr4HCnr94ZdpJbbqWr/dQ95CR+x91D6eeHAP5E8QevrxbZbQ9eXw1tHJLoBDst2G4LWrsUSqpgc7qRq1fjidVzsWFVLZ5YPRe5ejWGovR75G6pdoBhmOcA/P7iv/8ZQIvMY8RMPEsFRtKSrMvmFDY6GQbgOGDLvnbMt2QL7b7CEVhW3OvjcN/rh3Hd3BJZWqEB0qW7x2oVRirD3rykElv3t2PLvnY0LS7H/KnZKMs1wGLW4+1jPaKS4uuunYkHdxwds/VA8DPmWyg43D609Y5gWq4B0/P8wdDgspPT8wyS1+GfGe+L6NQKyUpJUm1pUqmNDYVCAUacPuKaHXGmr2MVK3K13Iz1WryO2bDrGJbXlUCpAC4vy8E1swrw1t0NONY9hJM9w3j8LydwU32p5OYvvxHVZXMK/WiLTTrctaQCz39wSSeV5Rpwfd0U7AxqnwFA0HVmvQa3XVkmOBP8hnhlQSZ8LET6Mlg/kO6/a9CBddfOwsZ3TuCOq8qhVAD1ZTn4UnluVCfpA9uajqf1B4VCoYyHcL6DlB4AxDK2aXE5LGY9Bkfd8Pg4fPNLZcg36kQ2/sM31BBl/sxCozDGgMMNg0aJu66ugNPLguOAbS0dWFZTJHxGyo7fe6oPtlEv1EoGpdkZomts3d+Of1lkGdOnmIgV5iiUQCKxzUj2xYjLg8dWz8Wo2wu9RoVn3z+NduvomP4vH3OYlmvAnhM9ONUzIrKnwrU5+/ycDZvX1EOtZODxcbj/9cPosjlF8YdVl5US78fHIuSgl//EqxYLLDkoaVqE3ccvwMf613eXzYl1L3+G2c0NEfvzpLjIhlV1KMvNQLv10iZrusqG3hFyclXviCtJM0pfMrUqXBhyYmaBEXa3FwaNCg63B3ptxtgfpkRMoVGHzv5RNC0uB8sBCsbfbiA/DuuXxico6cSw04uZBZm4c/EMjLq80Gv9dkI83ucBu4e4dgbs6ZlAQEl/+KrrwbZsfqa8uoevFhwc1yw2pZ+NynNeolXqeZsTdVOTNKk4MjU7A/dcUwG9Rg27ywuDToV7rqlAaXZ62ou9Iy4wHIcnVs+9ZB+7POi1y++L9En4PX3U76GkKGa9Bq0X7Pjpjkut6dddOxOVhcaoriN3wtF3AXwfQPPFf+8F8KvxXJBhmP8F8BUAeQzDdAJ4gOO452O5llSpwG1Ni8YzRQCXTv0FJ7oEVhUozNJhwOEWNjqByDZag5OM2q2jQlBt1+ddaF5SKUqiirWaAWlzAEBI0Cw4KYh0AnHTnlO446pyPPNuKzbtbsVLTVegPD8Tbb0jIX+78Z2Twt+GC+oFPmPSZi8/r7E2W0nf1drGSmzZ1y5ch6+UFOmmuJwb8hQKJf6YDWrims3WT5iifBOGSPRbPK/FVycMThjesKoOc0tN+NErB4XvkS97H/y9Khhgw6o6bHznhOjaN9WXhrTduPfVw5g3NTskATdQf61cUEo8yTC7OAvf+/0B0b3NKb608b39QGeIzl7bWInygkx8pbIAtSWmqBKFpDb1ScnDFAqFkghIG+6BvgNfLYhvRcb7NJ99MSjI1S6bE5t2t0KnVgg+QnNjBf791cMiuds54CDK/NmFRmxrWoQumxPFpgwMjrrwr1s/Ceujka5Tnp+Jpq0tInm9/UDnxevqYNT6Sw4H+iPrrp2JF/7vLK0wR0kZIrXNAu0LluWw49D5kHVsc3oi9n/PWu041GkTDiIVm3RYuaAUx7uH8OWZ+cQ1Oeph0bS1BTubGzAt14AXvrUQF4adyFAp0bztU3TZnERbq3lJJba1dGD9sirhuoH3qVAwcLh92LS7VTTHaA8QSVVm2rymXiRL0lU2FEpskNGYiPwwDIOfvnE05Fn/zx1XJHFW6YfHx+LRPx8Pec4vfUf+55ytp/GJRDHWoVrK+Jmel4FvXFGGH//xoKD7HriuGmV58usDunYo6YZKCTxwXTUe3HFEtH5UMheM9LEgxjWXzika45OpS36mligv8jLTswWjQsHAxzH4UZAsVqapzsvP1OHhN49ieV2JUOzjzUPnsOmW+bKPVWLWE9+lkjRN5qKkPxwHbHznZEjexh/ujM7vkS3hiGEYJYCDHMfNBrBRrutyHPcNua7lcJNPjMhRKjCSqgLRbrSGqxzUZXMKST1b9/urJtWVZKGy0DimsxToXBUYdVAq/BUfghOaNt48D7MKjcQWA7m3L0S+UUus3sD/Hd9OIDDIFPy3fGDRYs7AXUsqsP1AJy4MOzEt10B0APln3Dvswjdf+ChkXnyyUmAwNNx1Lgw7kZ/pfwbzLdmiShbB39WGVXWwXsyIHe93S6FQksuIy4N7rpmJX/71pLBm77lmJuxub7KnNuGQs2pOLNfqGXJieV1JSMLwxndO4PFVc3FnQzkAf9scBcOEbP7ev3wO5paaMLswC2qlQiSnZ+RnwqzXYOWCUkFnSemhwJYYDAPi5z7tuNRex6zXoLPfDlOGCr+8eR7arXa8uK8d21o68Mub58Hh9iLfqMVUsx5lhEQhviVHNNUFw1UJpFAok4tkbaZItSfjbXSFgsGUbJ2o4itflSRchTpLjj7k9y+3dOKhG2rw09c/F+TgL26ah94RF/a1WcFywM//fAzrl1Vh19oGdA9F7qPdv3wONuw6FhKAbVpcjk27W3FTfSke/fNxmPUa4V4UDPClGbmoKzWhwKiDxawnHuZIxPdCN9MokRKJbRb8PikYCMlGvD/v9PrwnyvrYDHrIxq3Z8gJloNwjXsaK6DX+k/fWu1uPHxDDe4PWNt8HMTp8bdgDPT5z/aN4J8ut+DJ3afQZXNiW0sHnrl1AY51DWHUw2JbSwduqbfg1++1Cuu1oSIPl0/LGbP6WjTJMlJxEbWSCamcmY7rsXaKKeR7e/iGGtRNMSV7amlH77ALX68uxOrLLegbdiHfqMUrH3fQalIyc2HYJeEryt9SbWCUHJ8YHKVVWuSE+tCJYdjJYvuBDn8lxIsVjl78exsqC+bIP5ZEbG/YRdcOJTXptrkurZ+LlURf/HsbyvMMKMuV72DhhWHpbh0zCtLzAKNaxRBtVa0qPeX/iMtLlMXTcmcne2pxobo4C3cvqcR9r136fh9ZUYPqOPgiZr0KD15fjQfeuJQY+OD11TAbaLIrJTXpHSH7PX0jSWqpxnGcj2GYEwzDWDiO65DrunIiFUQqzJInw36sqgLRbrSOVTkoMKlHqQDUqrH7UZKcK766z4DDLUpoWvfyZ/jVPy8gGh97W/vw3N62kOoNPHw7geDEm8CykMUmHdYsKhOdPrx/+RwAoScmAx3A8vzMiFqYjeVIBn9XwW3t+O+qZ8gplGwPTMZaVl0kfE89Q07MKTbirbsb0DuSuEAi3UygUGLDrNcgQx1aHt2cMTkMw2hlh5xVc6K9VmGWPyk0OFn1lnoLbnvhI5j1GtxUX4p1186EKUONpy/qSX4j++k9rdh481yoVIqQZFOX10ssIVxo1IXoj8cCWmJkapXEzwXO77uLy+Hw+HDHi5dOtD9wXTUGHW489OZRoQXIzuaGkGcfSSB0rE19CoUyeUnmZkokNnquQSu0suRRMuSWk1VFRjyxei6yMlQhvx9wuGHJycDaxkrY3T4YNEr4OBa3/+5jUZLChl3H8NtvLkSBUYeeIScA8eEB3kcr+c4i7D7hb6k07PSIWiDx9zF/ajZearpCOMgS2KYTAOZPzcaXZxYAIFeJ1agY3PWHT+P6vdDNNEowvN1ntbugUSrgcPtE9l8424z0Pj16Yy3Meg0ACP48/2/riBtVxVmYnhfetizM0gnr/ntfLocP4tO3G1bV4r9unoej3UOiNmc6tQIeHweW5YTrk1rXP/nXk/jO4hlwuL24YV4Jdn3ehYaZBWAYv7wpzNLKfoAoXLwp2dUnExE3UCgYZOvVojYGWrWCyp04MDVHh0Uz8vDtAH330PXVKDXTalJyYjaQ22jHYzOp0KhF92BofKIgTasuJAu+ejKvLwBgw65jmF1kpD60jIy4PFh9mUVU4ehn11XDHockoFy9Bp2E2F7ORbuEQkk13D4flswuEq2f5iWV8PjkbUmYqQ31r3VqBQxamUspTSCUDAOOY8Utt9weKJj0tFXdPh9WLRDL4geWV8Mt87s0UVCpFFgxtwSVBZnotjlRZNKhutgEVQR75tFyYdgFt5cV6R63l0XvsEvWxEAKJVEUGrVEv6fAGJ09JXdLNTOAIwzDfATAzv+Q47jrZR4nJiZCFZrgUuThgj6RVA7SqRSSrcVIgR3SBuWTuwPanwUlNBkkjA+Ou7S5+dbdDcRqQCXZOqxaUCIO6DMQqk+sXFAaUrHi4TeP4rHVc4VkI/7nwZuohVk6lOVmCCXyAGDHwXOiE4jj3YzlvysA+PqmvSHXmXV3A070DCctmE83EyiU2PF4OWJ59N9/e2ESZ5UYUkl2sCwHBQMssJhFyao/+XoVWi8M4+4lFcjUqPDzXcdDkmi7bP5NZZ1aAb3G7zDzcn1argG7jnSj3WonlhCuKzXhRPcQzHoNui72+P7x9kN47pv1uPPFFnh9HJ6+qCcDP8cnHa1cUAqrwy20CeH/5sEdR3DHVeXC3II34Xki0V+RbOpTKJTJSTITEiOpEkLyyWpLTSE/e2xVHQDgR388CLNeE1LBrnlJJdZvP4Rb6i3YfqATKxeU4sd/FPsQvG9zrHtIaMEppfd67S5kqJV4cvcp3NlQTryPslyD0CY6UC+tXFAKpQKwu33Yc6IH03MzhTbQ/AmhE91DMGiUcf9eaEJqcploB0J4u4/UnjYS+4/0Pt376mE0LS6Hj4WQbBR8kGisa0/LNaC21IS1jZWYlmdA09YDojHWbz+Mu66ugE6lDGmPdv/rh/HCtxaKYgMDDjf+9EmnsN6unl2AzgEHtuxrx3cXl+NrtcV46eMOLK8rAccAX/SPojRbLwSg5ajoORHiTSQSZfuf6BlC64WRkCDlFJMO1SXZso1DAewuFj+9eKIa8K+Zn75xBFsmgS+bSDxelugr/vab9bKP5fKS27fR71RerHZXiC5sXlKJfruL2kgykqlR4Wc7PhGtnZ/tOBKXeJvbR47tbaVrh5KiZGnVIftlm/acwkvfWSTrOF4fG+Jfr22shM/HyTrORGLE7YXTw6JzcBgs5z+EkGvQYCRNux1kqFV48E2xLH7wzfS2FxUKBkadGg63D0adOm5+uEahwH/sPBaie+RepxRKovBKtNm8fFqSWqpd5P7/n717j4+qvvPH/zpzy2Qmk/vVhCREwi3cxBTRim2h9UtdVBQvbfeLW2uXtt8qbO1u2d2f1rX6db/0Ylequy2tbYXdbrGl9VbK1xZs1W/RNnhDRAUDiWAIIQm5zGQymTnn90c4w1zOmeuZMzNnXs/Hg0crJHM+c8753D+f90fjz9OUlsfCpCuRQR+1AXs5ctB91y7A7NoS3PzDlxIeUI63iClyQVOdqyhq0EyOgiT//MC4N+H7emzQHdx92FxRrJiWiXOVf+Tfy6HTAaC5wqEYIi80hLtWk7Fqn9M7lN3BfE4mEKXu1Nikcjkzll9h6FOZ1MpU2aH1BFtoPTm7tgR3r5mPbc+/h5s7w3dnbFrVHrYwKPTIm/M7gcKftXwPPr+iTfE92N89hB+90B0W9c87JWLKL2L3xhV4t39M8ffk88AFAcFjQiJ/JnTjjNpRHYnUX1oc/UFExpTNBYmJTLir9ckAYO7GFRhyT8JqNmHI7cNr758NlvHb9/fg2zcsxrunx8IinmwNiWyn9L3NJoSV20r13vFBN27/2avBI9JKisy4e8183PfMW4rfQ/6eSos4Nq1qR5HFpLgI4+4189FQZo+78DQdXJCaPZle2JFOu++2y9uiJi8Saf+pvU+z61zBfKW0kSiRz55VU4KKYhv6VK7h9YvYdeBEMH/PqXPhgd2H0TfiDXufW6ucePgzF+FIf/hil698fDYAYGzSj18ceD8qr25ZtwhXL7ogLNpZOpGIcmm8KZRe4wZDninFQcoFjTxSTWtnxpX7smd4pJqm3OeiGYbyTonw+LSPDNA/qjI+McpnqiWb2aQ4kb9zAycItTTk8Sm+z8Me7SMcnVYZ2zudZ2N7RDL1/KPtcZ4fKEQI3b6/B82VDlyk6ZVyhyRN1+3y5lC57y4ZdI1VoZWPem6wPuNWvreDbmPeWzI+rfqXmiw4EgTBDuCLAGYBOAjgUUmScnJpqJbHwqQjkUEfpQH7+65dAJtFwLduWIzH/tSNf/gf81QHlFurnFEDkrEWMYX+f7lAbq50ornSibkbV6Bn0I23T40BANZd3ATgfFShRO9rSZEFwx4fHnnuKG5fOUsxLQ6bclQlOUIFAPQOe4KLjeTvfNcTb2Jpc0UwDaHHt4V+Tk1JcpOxavfMYbNkdTCfkwlEqat1FamUD/kTsjzVhnQmyo7Q3fNrFjXCbAI+1FKJS9uqUg5dGhnufMw7hX9cPQ9fiRGlT/67xrJi3L5yFiQJ2NnVi9UL6sM+O/QehL4HDWV23NjZhMayYnx+RRt2dvXi+qVNeOS5o8FyX75HSu/PqVEvbru8DfPqpyfhlH7GFLKoV23Xe6oRQnJhFz0RZV82FyQmOuGu1HeQo9r1Dk3gn399MGyRzph3Co/9qQdv94/h4X1Hwz4rcsNEaFQhswAsbanAP+46GPU7oZsZ5Hoh9Ii0hjI7vnXDYhw5PYbOlkpc1lYVdQxbtdOGW37y56h6afvnluHGTuVorqF1ViaeCxekZk68BT+ZXNiRbrtPbUGefMyg2ndSe5/m1ZdiRnkxAATbTbsOnEhoMV3kd/n+/1yqOkYh50m71RSMEhn5PptMAmZWlQSPK5Sv/93fv4vbLm+DLyBizaLGqPy4edcbWNhYFlUOyc+41jV9rG/fSOILvHJlvCmUXuMG7knljWPuyZwcGsxr1SXKfdlqZ/70ZfNBSZE57tikVupKlZ9pnYvPVEseHReRFbKyYpvi+1xarP1xhDUGGNsjCqU+L6Zt3IiqEhtslvPtWkEAbBYBlU7jHkfoD0iKi+N/dIv2kQtzgdrch1GPaz12RrkvPueOFbiwVtu+maPIonj6jtb5lEgvZQ6rYnlRlmTbTasDDB8D0InpxUafBPAdjT7XsGIN+sjkgezdG1dg2/qL8eBNS/Dwc0ew6eev4x9++TpWzq3HVCAAuzX8McqLavYcOoWrtr6AT//wZVy19QXsOXQKzRUOPHjTkuDvyCt5f/XKieCA/qVtFdi9cUVw8FIeNFsxqwY1riI8tPcIHt53FD96oRt3rGwPiyoUj8NqxqZV7bBbTXj+ndO45+qOsLTcs6YDvzrwPjaubA/7+8gIFYncP7MJwWuFfldzkm+9PKkb+jlb1i2CLxDAplWz0FB2frBTz8F8efA3FCcTiBLjDwRw7zXh5c+913TAL+bPQJPapNbxQXfM38tE2SEvDrq5sxmPvtiNrXuP4m93dOE3b/ZBFFPbKiKHO3/0xW48vO8o/u33RzCuMpERGTXo5MgEHt53FI++2I3Nq+dFLcKR78GuAyeC9U1DmR23XNqCbc93Y/OvDuJHL3Tj5s5muOzmYP3hLDJj/3tnYBKgWJf+18u9eOS5o+gd8qDKaYuqg7asW4TrL2rEzzdcElbPRlKqd9QihOzeuCLu5xFRYUmkDMkkue+wvK0abTUlCZVL8gKEX716MrjYCDi/SMfjC2D98haU2MyKdZgkTQ/wfPOGRbjl0pZg3fGD57txasQbNpgq/85UQArWUUp147DHh7dPjeEXXSfQ1TOE548OoHtgPPg7JpMQDMseSp5gn13rUvw3uS9it5rwwHULNX8u2X7+RiW/o5H969B2TiJ91FRp0e5TyjtTASnmd1J7n1oqHXjvjDus3bR+eUuwbxyrbRn5Xf79uaNR4wL3XtOBZ944Gfzv0DELpff59JjyvV/UWIpVc+tgNikvuAp9NpHP+HOP/RmH+8bwl+PDePK1k9j3Tn/K7dps0mvc4IKyYsXrhI6XkDZGJqYUx8xGJ7WPHlLIrGYheszy6g5YLdr3t8qKzfhGxPjEN67pQJlD+8VNhUytPKwrZTmlpVGvShnl1b6MMsLYHlGoutIixfmsulJtF4k4bWb8r4/OCvabf/RCN/7XR2fBWWTcesfnFxX7Az6/qPIb+S0gBnDPmui514BkzPKxd8it+Hx7h2L3l1MhiSK+eEV4/vniFbMgScZ8l8j4fFMBxbabz59ceaHVkrv5kiQtBABBEB4F8GeNPtewEt15Kg/Yj3mncPO28KPTtu47gp1/u1wxwoHZhLDIEMD0f8+tdwV3Hb/bP4ajp8cBTEcskiTg4X1H8d2bFyvudEskqlA8A+OTwXCNc+td+Pazb4eFbvz+80exZlEjdnb14sGbluDo6XFM+sWoCBWJ3L8+ldCQFzWXo7U68VWtJpOAK+fVYeeG5egb8aKs2IrvPPs2unpGgo2+7ft7MOzx6TqYz+gWRKmzmM349z8cDSsf/v0PR/GtdYuznbSEpbpbORNlR/+oN+Gd44lSCnd+YtgTN2rQ19fMR1VJEf7xk3Pg8QUwv8EVNdndXOHAtvWd6OoZgunc4tQFF5Thb3d0RdWzP1h/MTZc0YbGimJ8+WevoGdwAnarCQ9/5iL85o4VGBj3oqbEjmOD48EQxxNTAWzf34NbLm3Bt25YDM+kHwPjk2gst6O1uiRuHZROhBAiolw91ieWeEddihKwdd8RPPyZi3DnJ2bjwd+9G6zD/vd1C1HttOK6JRfAM+XH1375RlhZfs9ThxSPiN669x2UFVvg8QVQ67Lj4c9cFIyQIv/Mnjf7oo5FC40q01LpVKyXmiudwf8f+W+zal24feUsmARgaXO55s8lH59/PkgkelEmo0ul2+778Yvv4cGbluDtU6MQzy3Qu/MTc3D3kwdjfie19+n4oDtqcaB8vOGjL3bHbFtGfpc3To4CL/dg+63LMOTxodxhxQ/+8F5wx6j9XLTMe66ej9l1rqj3WRQl1d3g7ed+fnRiKu6zCX3GDWV23NzZHIysKff7Z9XEb8flGr3GDeY3lOL+tQuijr3vaOCRalpz2S3Y2dUb1pfd2dWL/3P9omwnzVAkScD3/xg+ZvD9Px7Ft2/QfsxgbCKARyLGJx75w1F8JwPXKmQcR9WHWhm1ZZ32ZZQRxvaIQjVXOtFeV4INV7RBlACTALTXlQT7l1oZ9fpxz1OHovrNj/6NMaP9AOoRIqtKjBnVyWaxYNcrvfjmDYsx4fOj2GbB9j91458+OT/bScsIp0rUIWcGog5ZzWbc+0x4/rn3mUPY8bllml+LSA9FVpMmbTetcltwibokSX5B4GBmPMl2clTDvk4FFAcAD/QO4ebO5rDB8bvXzMfxwfHg9QHg73a+lvCAaKKDnLFCzTts4Ueq9QxOBI8UkC1sLMUlMytx95MHgxO7kfcmkftXV2oPXiuR76dGFCU8e7g/apLi5NlJ9I148dDeI3js1mWocRXpOpjPyQSi1I14fIrlz8hE/uwKTXVSKxNlR12pPebO8VQWxCjVe493ncAD1y0MO2rnwZuWYF69C7NqSnB0YBzf23cUwx4fNq5sxy+6TuCyC6vCJoaUyvQt6xbBLAiK6R8Ym8SsWhe+8+zb6BmcCP797T97Fbs3rsCy1iocH3TDabNg54ZL4QsE4A9I2PZ8N7bseSf4WXarCZ9csCLh78/FRESUjnwoQ0L7DCZBQIVjeqBPqW6TpOmy9+2+McxtcOGZ2y/H2/1jeLd/DN/+v+8EF/5bVOqio6fHpxePlhWjd3gCe97sw+oFDcENHXJ9smfTChw748ar75/Fjpd6cP3S6GPRQhdkzKxW7pPMrJ7uk0T+26ZV7fjX3YeD6dV64FiWD88/3yTSF87kRGY67b4r59VhKiBGtX2aK4uDbRu17yR/RuT7pHY/5ta78Js7VmBmtXrbMvK7NJTZ8dG5tRj3+TG7zgVJAvYfG8Jz754J+667FY6mCz3Wd+PK9qjFgXIb99K2KmxZtwibd72BCocNN3Y2YXbt9LVEUYLJJIR9J6W8/9DeI1jaXJF3C470GjcwmQTUuGz49g2L4fb54bRZ4Co2c3wiA4osAv7XR2cFJwrliB52K++1lsYn/YpjBpk4JvD0+KTitQbGJzW/ViHjOKo+LCYBX/zILNz79Pky6p6rO2DJwH02wtgeUSiTScDKOXVoqy7JaDmlNtc4YeAjJke9Pnzl47Px3d+f37z0lY/PxlgGoq/lgpEJHz4xvwFf++XrYd931OvLdtIyQpSmow7JC4HkiE4StI86NDA+qTyHwHYb5SmryaTYv7QmWfdoteBosSAIo+f+vwCg+Nx/CwAkSZJKNbpOzom1uCaWZDs5agOMoWFfpZDo3kqRIe575i3cdnkb/td/vYoHb1qCK+fVqQ6IKn2vRAY55QG/yM+UdwHLYSEf2nsk+PuRnze7zoXmCge2fuoi9I140VBWjI6G0rB7k8j9S3fAV74HxwfdeOfUKCocNvSNeMN2bz7y3FF4p0RIkLIyoM/JBKLUlDtsiqveyx3anymfKemUcVqXHa1VTnyopVLTXf1KdY7NImBWjRP//tdL4SyyoM5VhObK6V32X9v1RnBH+m2Xt8HrD+D+6zrgsE4fgybXZUoRCjbvegM7N1yqmP5jZzwwm4CewQk0lNlx/dKm4DszOuHDnkNjUc/g43Nq8c11i4JpkieZjw2Ox5yAIyIqFEp9hk2r2vHbg31Riwb+afVcjE36sXHVLFzaVoWFF5ThcP8o/v4Xr6PCYQuWy++cGsVHZtcoluVWswCr2Yx/23sEfSNefPljsxQXEu3euAIfmV2LiSkRwx4fBAFh1wCAXQdOBBdkxOuThP5bTcn04tyLmss5wZWHEukLZ3IiM512X++wB5t3vaHQ9lmectutrtSu2JZuriiO29YJ/S4VDhtuubQFD+09n+cf/sxFCX/X0HbdjpemoxubTcCqubVY2DgdQUwUJfQOe1DrKsIvvnApRrxT+POxIbzdP4ZvPfs2Nq+eh9Ud9WHPWC3ve3zaLzTQgx7jBscH3fj6k4ei3omffNbJ8QqN+QPAgeNn8OPPfghnxidRU1KEX7/SG1zsStpoqnAolnONFQ7Nr1VdUqR4raoSbY/QIY6j6qHYZoZZkMIWoHp8Uyi2an9UU7nDptiWyaexPSI1UgZP8m2tUo7U22LgiG82ixm/e6svGPHHYbPgsT9146IZ5dlOWkbUuuwY905h2/qLMeSeQqXTirOeSdRofKxyrii2WPD954+Gnfjz/eePYuvNF2l+rXqVvjCPaKV8JUrA3sN9+MH6i3HWPYVypxX/9dIxtFXPSupzNFlwJEmScQ/3jCHe4pp4kunkqA0wNlc4FNNQ47IprrIUhPABdaUBUQCKnxlrgZIsXqj50LCQDpsZd6+Zj/ueeSvqO0VGn5Dvq3yN0IVQavcvnQFfpWe7cWU7drzUE1x0JFcmWoXJJyL92CwSvvzRWfh6yKrdb1zTgQxE2cyYXNqdF7lzXItd/ZH1XktVMe5Y2Y6bIqJRNFc6gzvSG8rswaNvKhw2FFvN+PLeV+PWjxUOG/wBMSp60saV7dPhI69fhBKbGU67NazOurDaiX/b+67ihPWiprJgCGT5SM9hj09xdz4RUaFR6jM8tPcINlzRhh0v9WDDFW24sKYEIx4fJqZEPHxukf+257tx37ULUOawYnZtCVYvaAhbnDS7zoX/fd1C/H8hZfmmVe2YWeVEcZEpePRlvKh88nHKg55JXFBmxzdCyv5Nq9pRXxq+yEStT6f0b/kWHYWmJbrgJ1MTmem0+9SiEXl8geARs/Ixa5tXz0uo7dZc4cAdK9vDjs+6Z00H7vvNIXzu8gtjjomEfpeBsUn8zU/+HFYW3P6zV7Fn0wrsTuC7hn63vhFvMMLBZRdWBRcbKS1u/EXXiWBETPno+dBnXFJkjloItWlVO4/diWHQPRkVZXvjynYMuSfZ9tWYKIm4qLkan/vpX8J3cEva7+AuZH4xoBilxS9qH/2hSGV8oiiPxieIZO3VLrw34Ma7p8eCR0LNqi1Be41L82uZTCK+cU1HVN4xmTK4UoMog9Kdb0yUxSREHVV+5ydmZyQSWa4QJRHrljaHRfzJVAScXFBiM8Ptk/C1XQfC2jElNmNO5ftEUbEv4hO1f75VTqtiNJhqJxe7Un7yBvz42JwGfGHHgbDycTKQ3IYrdl3SEG9xTaqUogsB05EdQs9vtVkE9Ax5FNOgtltRXhkdOqAeOSDaPTCu+JlqC5RCGzvxQs1HhoWsL7XjN3eswMD4+c9Tu69z7liBd/qjI0nEG8xMZcBXKQ2hUY3ke8nzvony0+SUEByQAKbz+NefOoTtt+bXWbu5tDvPYjHh6kUXYGFjmSYLoCIn1oqt5uDRN0B43SDvSA89/uL6pU3BSaLQn4+sHxvK7Ljl0hb89aMvo8Jhw4Yr2s5F2iuGLyDiqoX1OPTBGMZ9ATz4+/DP+6dfHwzWCzK5zpMkYOveo4iU6hFzRERGotZnaCwrxrqLmxAQgZbKYghVjqiy/+4n38SGK9rwpY/Owlci2utf/cXr+OUXLlVc8Lnzb5djz6YVODXqRbHVgm3PdytGdgk9evO2y9vw6IvdYdd4aO8RXDm/XpP7kGq0XNJfLiz0TrXdpxadaSogYcOOrmDfesu6RbhyXl1C36l32BNcbARM5417nzmE2y5vS2hMRP4uamXBqVEvlrVWAZheyDLmnYLHF4jKJ/EiT6ktbpTbb3Ifv390un0mP+PB8Ums//GfM5b3jUgpyvbWfUewc8PyLKfMeEyCKXhcBHA+/+34XH71ZXPd4PhUcLERcO4+P30IP7qlU/NrGWV8Ih+w7ZV5J0YmsP1Px3DLZW1hUUQWXFCm+VhIIGDCI384H9FCkoBH/nAU31q3WNPrEOklU/ONkY4NuvGT/3c8LO/85P8dR3ttCWYadMyy2GJRbD/t/FtjtlVPj/kU2zHbb12G1posJy4DbCblvsjPM/B8+0d9wcVG8rXuOddua6nW/HJEGVdksuDeZ16JKh8fS7IvwgVHaYi3uCYVaquY59S5cPvPXo0aSPv3v16qulsxcgemHKFH/l21qDzxvlesQc5EQ81HfsaFtef/v9r1e4fSa3Al06lUS4MgTH+f+65dgPZaJ9YtbWTnlCgP9Y8pn7XbP8azdtOh9QKo0M/b/94ZxWf2Vt8oFlxQigeuW4jjg+7gz8gR/SJ/PrJ+vLHz/MKkvhEvtu6dXlQqRyLqHhjHV3/xGj6/ok3x88ym8DSH1nlaHjFHRGQkan2G3uGJ4OL+K+fXwuMLKJa9ogQcPjWq+G8nzk4oLvjc+85pzK0vDUZNVYtWEzrIq1aXDIx7w/ovqdBr9yppJ5cWeidDKTrTlnWLcPeTB8P61pt3vYGFjYlNBsbqL4eOHcTrg6uVBTUlduw5dApb9hyO2qkamk/iRZ6KlU75/5tNgOPcTt94C6G0yPtG5Z5ULq89Pu2jwRS60yp92dPsy2pKrQ2SiXea4xP6YNtLH4PuSaycWx8WRSRTEe/6xybRMzgRtgkMAMtDyluZmG9U4rRZMOzxheUdu9UERz6F/k+SW61enzJmW/XMuHLb4ozbmOXjgNr3Hdf++6pdayAD1yLSg1b5x7g1iA4SWVyTLLVVzJELixrK7Lh+aRN8ARGbVs3C410n0DfiDaahrtSOS2ZWYe7GFegf9WIqIOHuJw+ib8QbNypPOt8r0VDzsahd32GzpNzgSrZTqZaGOXUu3HZ5Gx5+7gh+8tllug42cxcOkXbqSosU83idqyiLqaJY1Mrlt0+N4R9++Tp++tkPwWYxhf2M4jMOqR9Pj3lVB5LlukXu7BdbTYqf19lSGfz7yDov1fqQ5T0RGVFo2VbrsuPhz1wU3FAhH1e0fX9PcFJi489fxf3XLlSN2ipCuZxvKFOuLwIisGXPYTSW2+HxBTCnzhWMeBQarSZykDdTi0f12r1KpBSdadA9PUEXSouFQnIUYDlaWLw+uNr4gdmEYJSxyJ2qkflkTp0L//7XS+EssqDOVYTmyvgRkOTIz3arCXPrSzEVCG8LZmKsx+icRRaVcRxjHtuQTVUlNsV7Xem0ZTFVxlPusCre53KH9sdlcHxCH2x76UPPiHe1KnmnhnmH8pRebdC60iL88yfn4ozbB1ECzAJQ5bShrtS4eafQ2qqF1p8pspoVv2+RVfvnW+1SrnuqS4ybf8jYqkps6Gwpm45OOemHo2g6OmWy/UsuOEqDFotrIqmtYg6tEBvK7Fi/vCVsl588QD/s8QXTELoDUxQl/OSzy3B6zIuaEjvMJuDlY4OKg4fpfK9EQs3HG7xUu75aBzxWJSlfa2BsMqlOpVIaNq5sxwO7DwcXdmm5sjzePcmFXTicACcjqXCYFc95L3cas5NhBK1VTjxw3UL8868PhpXLO17qmd6V/6s38E+fnIdNq9rx0N4j2HXgRPD/yz//wHULo+rH7oHxmHVLXakdLVXFKLFZoj7vwZuW4LK2KuwOqfOaKxzBsnJ+gyvq2FClcjO0fG0os+OtvujjQ+c3uNA3wvKXiPKTWltWXvBTU2LHxJQfE1MBBERgx0s96Bvx4q4nD2LLukXYvOuN4O/dvWY+dv65FyPeKdy9Zj7ue+atsKgtoiRF/c7Gle3Y82Yfbu5sDh7RptSeFkUJDtv5fteuAyewcWV7VHQVLY5TTnb3KtvilA6l6ExqkYVSXSi0cWU7dnb1KkYLA5T74GrjBy8fG4wZZez0mBetVU7FdDZXTudPUZRgNiGq/Ri6uPHuNfPx4xffwzdvWBJ2jdYqJx7+zEV448RIcBJmYVMZj1KPwRcIRJWXG1e2Ry3movS5iiy495qO4FEOdqsJ917TgVI7h3i1VFdahHuu7ggeR2K3mnDP1R0ZmYytciqPT1SVcHxCS3pFDil0Hl8AFQ4brl/aFIwouOvAiYxEBysvVs47ZQ7mHcpPmZhvVNJU7oDTbsUDv307eJ3/fd1CNJU7NL1OLvEFAvjKx2fju79/N/idv/Lx2YZtq06JAcV2TEA0ZkSn6hKr4vetLtF+objdYlK8lt1iiv/LRDmozG7BTZ3NYdEpv3FNB8qLk+tfsjeahliLa1IdEFZbeVrnKgo2Nq5f2hS1U+ChvUfw2K3LUOMqUryWPMCoNigXOniYyKKhePcldKFT6H1ornDg2cP9weu3VBXjvmsXwmoWwu6T0vWB8GgR8u/2j04vAIq1SEftKBy1TmVoGnoG3Xj1/bPBiQ/5mWi1GjiRAd1s78IRRQn73umPGnBdOaeOEx2Ul856Avj94T78YP3FOOueQrnTiv966RhmVnMSQQ+JLLJU+velzeXYcEUbGsuL0Ts0EVYu9wxOoLrEhjl1LiyZUY793YMAgNs/NgtevwiTACxtLo8qs+J15lurnLjv2oXYsKMLFQ5b8HxzkwA0VxbjLz1DqCu1Y1lrFQAkvTg0sg7YuGoWtj3fHVXeb7iiLXjcm14LTjm5TURaUWvL7t64Asvbpg+5/8vxQQTE6SMx113chF0HTqBncAItlcXYtr4TXT1DsJlNcHuncMtlrah1FaG12oHf3DHdZ5AjuvYMTqClqhg/+eyHsL97MLiASakPFdqelsvjLXsOBxdOrFnUCIsJ2HHbMogi4Pb50VKpTVshmR2HubD5gIxFqf2zaVU7jg2OA0BSC4X6R71w2MyYCohYvaBeNVqYHKX53f4xmAQgIE5v4pHbGKH9Wjl/AOpRxmL1kVurnNj3Tj+O9I/j53/pxW2Xt8FsApa1VsJqEYKLG7c9/x7uXjMfkgTsf+9MMC2UvCpnEfa9fQrfvGFx2K7I1Qvqs500w/H4AvhFV2/UvW5bPS/bSTOUKb+EXQfO3WefHw7b9H3+UEuF5tcacquPT1yo+dUKV6FFe8iWhjI7vvSRtrDIKV/6SBsayrS/z6MT5/POsHsKlU4r/pNje5TnnEUmfPuGxXD7/HDaLHAWab+IoWfIg6173w2OcQLA1r3vYklTuWGPD64pKUKFwzJ9byf9cNot8ExOGTYqjQATXu05gx9/9kM4Mz6JmpIi/PqVXrRVt2Q7aRlhEcz4/h+PBt9pSQK+/8ej+NH6D2l+rVHvFMyQwvKpZ3IKY5NTml+LSA8en4jHFfqXF9bMT+pzuOAoTUo7BdMZEI4c+OtsKcNXr5yLt0+NoamiGL/duALv9I8pLp6RIMVdfJLowhWl75UspfuwZd0iPPi7d4KRmj532Ux09QwpLmJRur48qDnknsTJs15s2NGV8CKdZDuVoYu0JqZEDHt8wd/TcmV5Is8k27tweofcONI/HpwElwekZ9WUoLXamI1QMrazE1P48IW1ONAzPF3+nAE+fGEtzk6wYZhp8erIWP/eXOnE3PpSvHNqFI++2B1Vplc6iyAB+MdfvYGbO5vDohFtWbcouOM9VLxFtiaTAItJgHdKRN+IN+x8cwBhi4DmN7iSXhwaWQeIkvJOflE6P1H39qlRNJYXY2FjWcYmmjm5TURaiteWFUUJH5z1Bsv20GgpgiAEF32uX96CB39/JKpcEgTgqq0vBK/RMziB7zz7Nm5fORuv9A5j3cVNsFtMMdMQWh7vebMPG664EPc98xZm15ZgRqUTh0+NQpSAe58+hM2r56VdHiazezXbmw/IeEwmAfMbXNhwRRtEaXpAVo6YHHmcO6Dc94w1ZuD3i7CaTdiybiEcNgt+deB9fGhmFbbuO4IKhw23XNoSFTVSKYKSvABQKcqYHAVJbh/JkyVD7kkAwBsnRoL9V7n9Zrea8Js7VmDtkkacHvPixosb8VbfGP7qey+EfX7HBS72f5PUXOHAp5a1hO2KvH/tAjRXGHenfLZ4fH5cvagRR0+PBcfSrl7UCI/Pn+2kGUrf6ARWzq0Pe6c3rmzHqdEJzKpzaXotjk/oQ6/IIYVOkgC3LxBVh8rHmWrJ4/Pjkwsaw/LOJxewPKT81TvkxlsfjIW1kzetakdLpVPTNugHIx587rKZGPScXxj4uctmom/EY9gFR5IEDLqn8PWn3sp42ZQLGsqLcHFrNT7307+ERcRsKDfmAqvjQ270DE5EjdsfH3KjvV7bdtsFZQ7c9cSbWLOoMbi46Zk3TuLHf7NM0+sQ6WV8cgp/fUlrWP/yry9pxXiSi+i44ChNSrv/0xkQDp34HJ3w4chpN24NqRTuX7sAFzdXpLwjI1MLVxK9D5t3vYHbLm/DI88dxS2XtsAzFd0BiRzEU/psAPifj/454UU66RyHkG7Ep3gSeSbZ3oXTPzoZbOjK6Xto7xEsba7ggCvlpSqnDUdPR08iVCV5LiklL14dqfTvW/YcRmOZHYMeH6qcNlzZUYfZdS589RevR5XpLx8bRM/gdPSj0F0NjeV21XI7XmS+gCgplsFy1F35Ozx267Kk61ilOkDpWk6bOew41W3Pd2d0ARAnt4lIS/HasscH3cEj0IDpMmdnVy/+z/WL0DfixedXtMFuMalGKFKKpLJybj2++J8HgvXED/7nxappEEUJA2OT+PyKtum/t5hw3zNvocJhw83LmvGViGOjtuw5jLn1rpTKw9B6JtGjN7O9+YCMqW/Ei617j0b9fehx7rJk+p5+v4gnXj+Ju554M5hvHvnMUnz5Z6/AOyXi+qVNUX1L1QhK9S4MuSexc8NyeHyBsIiL8rG3N3c2h/XzL6x2wmwSVBdxD4x7sbytOni0rlJ7Z/uty4JplBc0TUwFcHpsEs2VjPiopHfYE3zmwPS9vOuJN7G0uYLllMZcRVbFsTRXkfZHRhSyIrM5qt2xdd8RbL9V+8kkjk/oI9PjuzTt9Jj6GPJMjesDl92Kt/rGovJOSyUXu1J+0msOxmm1KLYlHFbjThfrWTblguHxqeDxu8D0973nqUPY+bfL0VyZ5cRlgLPIrNiHddi0P2JzZrUTm1fPi1rAzOh6lK9U21NVybWneKhgGuTd/1dtfQGf/uHLuGrrC9hz6FTMAeFEyBOfgiDg7iejB2zGvFN48KYlYSHGE108ExqaXJbuwpVk74P53OWbKhyKlXz/6GTKnx16j0O/a9+IFzte6sGGK9rwk892YvfGFUlN0srPRB6Y1LIzmsgzkXfhpPLMteD2+RXvN3eMUL7y+AKK5U8mzpSncPHKb6VJ45s7m3HzD1/C537ahb/5yZ/x/LtnUGQ1Yc+mFfj5hkvCynS5TJWjET287ygefbEblc74OziU6pw/dQ/iricPYuPK9rAy+O418/GrV06EfQePz590HRtZB+w6cAKbVoVfa9OqdgRESXGi/figO+73SkW6bRkiolDx2rJqZf+tP/0Lvvifr+BHL3SjrtSuWi5FlqVKx6d9/ak3sWXdoqg0NFc4sOfQKfzNT/6Mh/cdDbvW9UubcN8zb0VNNq5Z1JhSeRhZz6x+6AW80z+GZa1VMfsYmejDEam9V/Jx7qn2PQ/1jUQtPHn9xNngfwuC8kKgyDwl98E7W6uweEYFLr0wvC8uH3sbmdf/6dcHcXbCjxKbOW6+UWvvnHFPBhcbrV/egkdf7MbWvUdxy4//jD2HTkEUDboVOg1sO+rHPaXcl3VPsS+rJbVxMHcGxsE4PqGfTI7v0jSPjmPI45N+xbwzzvFqylN6zcFM+JXrnQm/ceudQpvf6h9Tbpv3j02q/EZ+K7aYFcfTHVbtFxzJC5h3b4yelyDKR6rtqcnkykfjLlnVgdru/50bLtUkGk3fiHKl0DfiTXlHRibCxyZ7HzpbKmG3muCZjF/Jp3OPW6ucePgzF+GNEyMQJaDEZsbiGeUpf89MSeSZZHsXTkulU/F+Kx1PRJQPxlXKn2QrUUpevCgXkf+uNGn80N4j2HBFG2pKirCstSqsLEynnlOqc7p6hhQjJrm9U+gbOT+BIpeJyV47sq4yC8D8C85HvKgpsePY4DjeODGia3SLbEfWIyJjideWTaTsPzHsUS2XIst+syl6QUPP4AQay+3YHZEGpbJfvpbawgizCXHLQy0i4YZ+xg/Xd+KuJw+iZ3CCR4CQJtTaTM2VzuljbFPseyqNY4hSeATHWG0MpbyjdG2TSYDVLCjm0Vd7h7GoqQybVrVHHd0Wmm/U2juNZcWwW02KZVEyER8T/S5GwLajfsa9Kgth2JfVVKndqvhOl9q1jyQ1pvJMOT5B+UjPvOOZCijmnQmfqPIbRLlNrzkY96Ry3nFPGnfBUaHNb1U5ixS/b6VBoyeeGfdh+/7wsfvt+3swK8PRq4x6JB8VFq3aU1xwlAa1HVxTgYAmi3oazg1yRVYK9WX2sONfkpGJhSvJ3IcHrluIlqpi/OaOFRhyT8at5GN9duQE7cKmsqh77PNLUWHAtu/vwbDHl9GjaJKR6DNJ9ZlrYWa18mA0wwRSvipzKB8VUVZsvGox1yY64i0ISmTS2DslQpSAvW+fxsmz3rCyPJ16TqnOkSfI5IhJwPmd/vI7FFomzqx2Yv6mFegfnYTb50dLAh3XyLpK/iz53PSZ1U7UlNiDPyPL5CROJhYoE1Fhi9WWTaTsf7zrBO5fuyDsmCa5XDKZBFw5rw47NyxH34gXNSVFePK1k+gZnAj+/vTgWlFUGpTK/se7TuAb13Tg5NkJ1Q0UscpDOZJRZBla47IlvHhU6TO2rFuExnI7Kp1FWa/PKf/FazOl2vdUGsd4+vWT+NfrFuKffn0wGM1RaSGQKErY905/VD9/5Zw6xfddbZFLQATe+mAMVrOAb92wGJ5JP9pqnLi4pTKhheodF5ThwZuW4O1Toykv+FYrB3JhDCIT2HbUT43LpvjeV5cYcwIpW0a8Pmxc2R52ZOPGle0Y9fo0v1ZdqfKkYE1J/Ci9RLlGz7xT4VBe3FTuMN7YHhUGveZgXMXKx0+57NpHg8kVhTa/JUJSLIslGHOFTG2pHTbL+T6WIAA2i4Bal/ZtqULr55HxadWeYusrDWqDW5XOIixtrkx7UU9HQ2nUoPr9axego6Es6bSGTjjXuuwwm7RbfRnvPsy5YwUOnxrFu/1j+Nb/fSe42OfKeXVxK3m1z64uKcLpMV/UBG0opR3ED+09gtsub8Mjzx1NameiXnJ1RWy2IywRaa3YYoma6Ni0qh3FBjurOhcbwPHKk8h/L7ZaFBfamAQgICKqLE9ngVVkndNQZkdpkRn3r12Iu544GPaufP8PR7HhijbMrnNhXn0pZlZPX8fvF/H6iRFs3vVGQvc8kWgXJpOAhY1luk7isNwnIj3JC4a2re9EV88Q2mtdUX2AYY8Pc+tdeOzWZfD4/GiudAbLXlGU8Ozh/rAy8v61CzA0PonRyYDq5gRAub8x7PFh0O2D02bGfdcuCB5zLS/6uaytKmZ5qB6ldXnCEUCUPmPzrjewO8f6L5T7YrWNTCYh7GhDAFH1fbJtK6VxjDtWtuOvFjRg8YxynB7zor7Ujivn12NgPLyNcfzMOI70j0dtGppVU4LWauXFilvWLQprd21c2Y6dXb248eIZ2LLnHQDT+Wz3xhWKm3rU2jurO+rRWF6c8oLvZCOa5TuTScDH59TiP2+7BKdGp5/xogvK2HbMAJvFpNiXtVlM8X+ZElbltGNn11thO+V3dvVi66cu0vxaVrOg8kyZfyj/6Jl3isxmxbxTZDHuogkyNr3G4gplXDxU5CalhjI7OhqM21atdBRhZ1dvVFn8Pzrqs520jKhwWvDlj87C1586FHynv3FNBypKtI+uV2j9PDI+u0btKePWIDqItYNLi2g0FosJaxc3or22BKdGvKg/VwlakhxEUJpw1jLST7z7IAjA3//i9bBBujsffy14tmWsBpTaZ8uTzLEKdbXoSIJw/v9n6iiaZOTiggAl2YywRKS1gbHJrITZ1FuuNoDjlSehk1+D7smoiST5DObvn5sAksvydMvT0DqnwmHDLZe24MHfH0GFwxZcXDS3zgWLWcBFzeVR9ZYoSvhT92AwrUD8e65WV0XWT9lYAMRyn4j01DvswYYdXfBOiVjUWIp/uboD//J0yGDRtQvw5Z+9EnakmLxRQam+u+uJN7HhijY8vO+o4uYEmVJ/IzSSUHOFAxe3VCRV9qqV7R5f4pFwE60fiGKJ1zZK99+VWCwmXLPwArRWOcMWnths5qh2hRzNUdY/Ohkc5ALObxpa2lyhuODIZBKwZEYZvnvTEhw+NYqAOD2Q/qkPNcN8LnnxFmmrtXfSXfBdaHnY7xfx1MEPojbMrV3cmPQYFsV2akS5L3thTQkWNWU7dcbR0VCKO1a2a7IJNJ6+GM90IZ8p5Zl5dS58+WPt+HrIgv1vXLsA8+pKNb9WoYztUWHRYyzO4wso5p0lM8ozds1sU9qklItzcFqxmIEvfmQW7g0ZU7nn6g4YdT3mqZHJ4GIjYLrf9fWnDmHH55ahuVLbvNQ/6kWFw4brlzYF55p3HThh2H4eGd/AuHJ7qr02ufeZC47SoOXkn9quQYvFhMUzKrB4RvLpkz9zYGwy45F+bBYBG65ogygBpnPh6mTxBtriTTor3eOXjw3GHbxTi44kRxHK5FE0ycjVBQFERlZsM2PY4wsekQVMlwnFNmO1uvN1oiNycqulqhjb1nfC558+T/b9YQ++/3w3+ka8YWW5Wnlae9slkCChKs4RNKF1zsDYJP7mJ3+Gd0pE34gXW/ceDe6Ob61W3mV/fNCNrp4hxXsuRw2IrOfV6iql+okLgIjIyELrrE8ubIDPHwj2L+bWufCtZ98OHpEml+9Vty5DjatItb4TJYT9vNy+jux7XTmvDrtj9OmSLXvVyva6UjsumVmVUP8xmfohllw7WpX0Fa+vme6/KxFFCb9/53RKg/lun19lsZ5f9Xc+OOvFN555Kzjge+PF04MnTZUO7PzCctSXFsEfAF4+Nph0HkhnzEerPJwvDvWNBBdmAOcXfrbXlmDxjIosp85YCqUvm21qiyczsYCOz1Q/bBdl3omRCfz+rQ/wg/UX46x7CuVOK/7rpWPobKnQfCyDeYcoNfVldsW8U1dqzHYqUHhzcP2jk/j+H4+GLSD4/h+PYlbNYrRUGe/7jkxMKfYjz05MaX6thjI7vvSRNpxx+4LHgH/pI22oN3D+IWOzW5XbU3YrIxzpSovJv0xEuAn9zM+vaEso0k9rlTOlTtfxQTdu/9mrUQNpcrj/dAfalO5xIp+ptFtZjuyU6aNokqE2QdI/mtsLAojymdkExTCBZoNtvs2niY7QgT+HzYItew4H090zOIENO7rwmztW4J3+sbDnFlqWq5Wnzx8ZgN1ixs6uXmxePS9m/SrXOaks1uof9UKUoHjPpwISrtr6QlQ9HytKIBFRIQmts5oqHPiHX56PkHr7ylnBxUYy75SIF46ewY9e6MYP13fG3Ggg//y7/WOQJODY4Hiw/xJaJmvV9tYiEq4W9UO+RFIldelOjMZrz6T770qOnVEezJ9zx4qoiEaRWiqdinm5uVL9va8rPT9h0lBmx/rlLcG2YktVcVSEkmTzQKpjPoXWxjs9Oqn8roxOZilFxmVTO37LzHJdS6Io4fn3BvDGiRGIEnCkfwxnJ3xYOadO8zrUojI+weBg2mK7SB+D7kl8+MJaHOgZnp6IPQN8+MJaDLknNR/nLpSxPSoseiyMbK5wRB2BfP/aBWiucGh6nVxSaHNwIxNT6BmcCFtAACAjC3ByQVmxVbEfWVas/ZFqkgS4fYGoY8BDx5+I8olW7SkuOMoBmVhdG/mZ8SL91JfaE+p0KTV44g1CZmKgLZHPjNyNWFNih9kExWNwsslhsyg+Hwd3YxBljN1ihstuCYvM5rJbDHfOe75MdIQO/FU4bLixswm3f6wdp8e8+M+XetE3Ml3PDIx7Y+4yV1tgFRCBrfumI/slWr+mslirrtSOp18/iY0r27F13/kG2r9etxB3P3lQtZ7X+6g0IqJcFFpneSajo5yo9We8UyLuevJg1PGbd6+ZjzHvFBrK7MGIeAdPjuLvdr6GTavaUeGwBesXrXc2ahEJV4vPKLRdnLkslYkDLSZG47Vn0v13JT1DbsXxgd4hd9wFRzOrlduu8vGJSkLLjuuXNgXbYACwZlFjVNQdvfJANo7DzaZyh/Igf7lD+0H+QmcxmRT7shYTZ9i11DvkxpH+8ajJpFk1ytFu02E1Kz9TK1dNaIrtIn0UW83wTEVPxCa7Sz4RNpWxPZvZWGN7VDj0WhjZO+zB986Nk8rRb763b/oYY6OWh4U2B1dqt6KlqhhrFjUGA088/fpJlNqN2TZ32c245+qOqCPkXHbtn+/pMfVjwGcaNP+QsRVbldtTxUnOlXLBUQ7IxJE3oZ+568AJ/NPquRj0nA/xVuW04T/+2B1stARExO10KTV4tqxbhKby4piDkJkYaEv0M5V2I2o9MJAuXyAQNTm9cWU7pgJi/F8mopSIkFDptKG82Aa3zw+nzQKTCZBgrKXouTzRoRTRqMJhw/rlLVHl4Y6XejDs8aHWZY+5y1xpgZX8+3Jkv8j6VW0CMJXFWq1VTmxePQ9b9hzGbZe3wWwCOlsq4bKbFSNzyOngUWlEROF11uD4ZFj/YteBE1G7beTyHZiOhNdYbsdv7liBw6dG8W7/GB7edxTDHh82rmzHzq5e3NzZHKwPQo+XBjJz3Kha2Z7MwpN064d8PVrVaFKdONBiYjReeybdf1fiVB3Mjz/8pLZpKNZxaKG/827/WNh15bZfKO+UiJ5Bty5t4kJq441NTimOa4xNGnMXdTZVu2xwDluAsfPRo5xFFlS7bFlMlfH0j07i53/pDU7GAsDP/9KLpc0Vmo8ryhuiToc8U5fdArvBNkRlG9tF+nBPBlTzjtZ8fj+qS8LH9ixmwCeqH8VKlMv0WhjZP+qFz39+DFwQAJ9fMnR5WGhzcPVlRfjiR2ZFLcCpLyvKdtIyYnQioHiE3DfXLdb8Wm6fHxUOW/BIb2B6zCrWMeBEuSwgSXAWRfcvA0nOlXLBUYYkM5CciSNvIj/T6xfDdhZ8c90ifO/TS1DpLEJrlRMvHxuM2+lSavBs3vUGbv/YrKgJAKVoQ1oPtBll8K7KWYSdXb1hleHOrl6sXlCf7aQRGZY/IKFn0BMVJrDKabxB2lwsK5Um3jaubIcgIGqHwNZ9R7DhijbMrS9NKDLT/AYXHv2bTpwcnsDpsUnseKknGNlCksLr13gTgMku1gr+Tr0r7HeOD7rz5mg7IqJUaRH6Xa6zIhc5DHt8aK8rwW/uWIHeITdeff9ssHwHpsvUSuf0wNnf/+L1sPJ2674j+OYNi/Gvuw8Hf15ehCrTq0zW+yiPfDpa1chSnTjQYmI0Xnsm3X9XUldapBiOu640scHt0HJALb8AiCpv5Hui9M5H/ver75/FxJTIY3Q0VOW0Y2fXW1HjGltvvijbSTMcfwD4p18djHqvf3PHiiymynh8gQBu7mxWmJgMaH6tgCRh867oZ7pzw3LNr1XI2C7Sh555x26x4LUzo1FtjuUzKzW/FpEe9FoY2VBmxy2XtkTlnfpS45aHlQ7lObj/0WHMOTh/AMHFRsD0e3Tv04cM2150+/yKR8hlYhHQzCqnYv7JtRMliBI14RMV+5c/uqUzqc/hgqMMSHYgWcsjb0IH+n+4vhN3PXkQaxY14ru/fzescvnarjewO2SAM5FOl1qDx+sXsevACWy4og0XzShHS5UzZyJoaCWTZ+fKETFy/cgjIiOZCkiKO64WNpZlN2EFQmnibeu+I/jWDYvD6pmGMjuuX9qEufUuzKlzKX5WaPnsD0i468mD6BmcCDb2AQQHuHZ29YaVr/EmAFNZrKUYWS9PjrYjIkqV1gtpYi1ymFntxMS5RUgAwspUtU0UR0+PAQC+/LFZEITpiK/Oc6HT45XJWvYD9D7Kg/VPbkh14kCridF47Zl0/10WmlcWNZXhzo+3Y3QyAJMAtNeVoLkyufdOLb/MuWMF3ukfUyxvIt/5p18/ifvXLggeq2a3mvBPq+dibNKPt0+NorG8GAsbyww1dpEt5Q6L4i7qcqcxj23IptNjXsyuLcHnr7gQE5N+OIos+OHz72Fg3Bv32EJKXGmRNeyIRrnP+vO/1X4R0JDbp1hPDLt9ml+rkLVWOfHwZy7CGydGgicALGwqY7tIY6VF1rBJfWB6Uv/DF2q/AHViSjma0uImju1RftJrYWRAhGLeuXK+MRffAIDZBHzqQ81Ri0SMenrp6TH1PqgR24stlU7FI+SS7YMmQpSiN0w/tPeIofMPGZt3KqDYv/ROJbdYnAuOMiDZgWStjrxRO/KsOKKRIqcpdIAzkcFotQaPJAF9I15s3XsUP99wSU5F0dCC2n29oNyOqnMRovQ4Ho6ItBMQRcUdVwHRmGFUsyHWBK3axNuEzx+sZxrK7FHHq0VOXqtFSpKjXjy09wgeu3UZ7FYTpgIiVi+oTygdmThWh+U8ERlZJhbSqC1yUCpTmyscOD7oxsRUAJtWzcLjXSfCoh9d2laFYqs5bHDxnqs78I+fnIOLZlTgQ62VimWy1gup9D7Kg/VPbkh14iCfFoyp9ZmXltuDUZWTfe/U8kvv0HR5ExrG/p1To5jf4EJrdYli+TCjwoEXjp6B02aG1y/i4eeOwjs1HQU6k1HGCskHZ7149s0+/GD9xRh2T6HCacVPXzyGmdUOtFQZa4wo2y4ot+PTl7Tga798PaxOaygzblSCbBjyqCwC8mi/CMhZZFGcJEvkKEpKjs8vhZ0A8OBNS7KdJMPxqYy3+TIw3uYLKF/LqEckkfHp1f4f8kwq5p1hzyQAY7bb+ka82L6/JyzC0fb9PbiouVzzo1JzgcOm1rYw5nGtLZUO3LGyPWyjyf1rF6Cl0qH5tdQWc3HxP+WrWleRYv+y1pXcEYwGXb+ZXbEGktXIA+rL26qDURWSpXbkWV1pMezW8EcdOcApD0bv3rgCP99wCXZvXBE16CY3eOTPkhsiv3rlBBrK7Ni4ahY8vgC6B8Yhismd7ZfL1O7rH945g6u2voA9h06l/X21eP5ElLhim0Vxt2KxtbAH9ERRQvfAOPa/dyatslyedLpq6wv49A9fjior5Ym3UHarCXPrXXjguoWwW024fmlT1DO68/HXcHzQHfwdtUhJ1y9tCv63BAmLZ1Sgs7UqqnxVS0cmQqqznCciI0ul/5OO0DK1tcqJZw/346qtL+BzP+3CD57vxi2XtqChzB4coK0pKYragXbv04fg8QVQ4ypSLZPVFlKF1kXJ0LPeiSQZp3uWd5T60YlMHCTSR88Van1mq9mU8iI3tfzisFlQ4bBh/fIWPPpiNx7edxQ/eL4br/SehShKUW0ui8WEGlcRfvRCN8YnA1HRn9PJ03ReQ5kdy9qq8IUdB/B3O1/DF3YcwLK2KkMfzZEtZ91TikdknHVPZTllxuKwWVTLIK2JkogvXjErWKb96IVufPGKWZDARRNa0rpdR8psZpPieJstA2FEHBzbI4PRq/2vlk+tRg33g+m+xbDHh0eeO4qH9x3FI88dxbDHZ9hjNVXbFgYdGOgd9gQXGwHT7/RdT7yJ3mGP5tfK5rgOUSbI/cnI/mXkOG88xq1BsihbBY7aQP9UIJDQAGe8ydDQBs9//+0l2La+Ezu7egEAt1zagm3Pd+NzP+3SbBFOrlC7r4LAzilRvjozPqmYrwfdk1lKUfbFWySUjHgDeWoTbwsay7F2SSN2b1yBhY2lcSevY5XP8ufGqntTnQAkIqJw2RxwUapzHtp7BP9285LgAO2ASr0/u84Vs8zXeiGV3vWOlnU7pS6diYN8WbCsllf2vn065XdOLb/UlRbhxs7ohen//OuDqv1y+bPMJui6OLKQBETlowUYZEJ7fSr5rW+U77GW6kqLsGlVe1gZtGlVO+pKk9vpm4hiiwX3PhMxyP/MIRRZuGhCS3ovkC9UHl9A8T57fMkdy5EIju2REenR/tczn+aKQhsDNkFQbFsIyM3+ZLr0rOML7V0i41MbMx0YT649xZ5LBmQr9LlaqPZKZxGWNldqEko/9GgDUZTwk88uw8DYJP7mJ3+OeYRCrKN1lCT785kU6yg5ILPHIBBRZlQ6bYphRSuctuwmLIu0PA5HrZHff24QvH/Ui/kNLvzmjhUYGI+ul+TrxTt+JFb5rFb3RtYvV86rw24eNUNElJZsHv2kVudIkIL1Sa1Lub6YV18aVeaH1hNyGPKewYmw30t1IZXeR5xl4qg7So3aEYHJynY/We36am2ygIiU3zm1/AIAs2tdSR1PKH9WY3lx8Cid0HRyN2r6eLSAfmpKihT7stUl2i+EKWTNlU7Mv8CFb9+wGG6fH06bBa5iM5ortW/bDHl8YcdEAsCuAycycnxbIUv1iFNKjtp9rstAxDuO7RGlRs98misK7bhxtbbFkEHbFnrW8YX2LpHxVZUot6eqSpJrT3HBUQboUeAoDfTFGujXaoAzlPyZkYP8DWV2XL+0Ce/2jwEAmiscePZwf1S61HZ1yjtxE/15LSV6XzeubMeOl3oAsHNKlI9Kiiy4/WPtuPvJ8+f63nftAriKCrdajLUTINm6Q62RPxWQcNXWF6LKdgAJ12nNFQ50D4yjf3S6fn34Mxfh9p+9GvyZLesWobHcjnVLG6Pq3lj1S6zvmO3JPSKiXJfNAZd4A0uiKOHY4Dg2rWoPRt+wW0345rpFaKl0hH2WUj1x/9oF+N6+I+gZnFCsi5KtFzLRL1OjZd1O2ZfNfnK868fqM6f6zsVqf81rKE16QNlkErCwsSzpxZGiKOHYGTd6htxw2iyoKy1CcyXbgpE4ka8fq0XA//roLNzz1KHge3zvNR0osvCd1NpUQMK7p8cgSoBZABY2lWXkOqV2K265tCWsnbJpVTtK7daMXK9QZXOBfCFprnDgWzcswpHT48G8M6u2BM0Vjvi/nCSO7ZER6TEGqWc+zSV69sWzrdDaFq1VTnznxiX46i/O1/HfuTFzdXwhvUtkfFq1p9j6ypBMFjixBvqyMdAfOrDUUGbH+uUtwfDm8uTvg797J+GdtdnaiZvIfe0f9WIqIOHuJw+ib8TLzilRnvL5xWAFCkyXM3c/+SZ+9vlLspyy7NFykkBpIG/LukW4+8mDUWX7nDtW4J3+sYTqNLUFrHs2rcCp0fj1Xir1S7Yn94iI8kW2BlziTR4dO+PG7T97FRUOG267vA2CAJgE4KzHh2cP94eV50r1xF1PvImdG5ZjYioQsy7KxXqBCwCMJdsRq+Jdf3VHPRo3LMfet08jIAI7XuoJ9pmTfefitb9mVqc2aZzs4kildGxa1Y72uhKsnFOXc3k+m5orHLh/7QLc9cT5Qcr71y4w/MRVVkgILjYCpvPiPU8dwuMblmc5YcbSO+TGkf7xYFQ0Of/PqilBa7W2Za7VIigeSfj4F/hMtcSIBPp4f9iDvhFvWN658xOz8f6wBzM1bq9wbI+MRq8xyBNnlfPpibMezes4yg6rWaVtYdD2oihKECURG65ogyhNj/mIkghRlFjPE8WhVXsqLxYcCYKwGsBDAMwAfiRJ0v/JcpKyKt5AX6oD/amung4d5L9+aVNwsZGcts273sBtl7fhkeeOBn8n1i7HbO3ETfS+ykfJsXNKlL/6R5XPJT09VrjnvGu5208eyJtzxwr0DrnhsFngCwTCjqQBpu9571DidVr3wLjiz+7euALL26rjpiuV+iXbk3tERBTf/AYXHrt1GTw+P5ornZhZfb593jPkhndKRN+IN6w/suX6hVHluVo9MTEVCNYzanVRLtYL3MlvLJnqJyc6DhDv+tMRhMpx8qw37XcuXvsrnUnjZBZHKqXjob1HsOGKNrRVc0drqN5hD76370hwYackAd/bdwRLmyt4nzR2ZtynmBcH3cY8IiNb+kcnFSfqljZXaD4Ze2ZM5ZmO85lqjREJMu+DkQk8+Lt3w/LOg797Fx0XlGq+4Kh/jGN7ZCx6jUH2j04q5tPFTeVccGQQbl9AsXx0+wJZSlFmHeobwT/88o2ozVbNlQ4snlGRxZQR5T6t5kpzfsGRIAhmAI8A+ASAEwD+IgjCU5IkvZXdlGVPJgYa01k9HTrY927/mGLazKbw35F3OSoNbmZrJ26i95WdU6L8V2K3KJYzzgIOu5yJ3X6hkYs2rZqleM8dNkvCdVq69V8q9Yt8Tfm4UPkc2yH3JOsBIqIsU+vDzKw+v7jBaVOu8x1Flqg6JJF6Qs/NEemG0+dOfmPJRD85mXGARK6v1TuXSD7To18+6J4MLqABgF0HTqBvxAtRAo8mjNA/6oXPLwX/WxAAn1/ifcoAtb5sSQH3ZTPB7fMrlkMen1/za/GZkpGMeZXzzrhX+0luVxHzDhmLXn1N96R+dVwu0eO4ulyh1nerKzVmtOO+EeW8c2rEi8UzspQoojyh1VypKf6PZN0yAEclSeqWJMkH4OcArs1ymrJKrixCpTvQqLZ6+vigO6Hflwf7Zte5FNPW2VIZ/Ht5ELO5woE9h07hqq0v4NM/fBlXbX0Bew6dQnOFAw/etCTq5zO9EzcT95WIclOp3YJNq9rDyplNq9pRWuCDEnJZvrytOrh7PFWR9crjXSei7vmDNy1BXWlRwmVvuuW0HOkhmfqlrtSOlqpirF/egkdf7MbD+47iRy904+RZL0RRUv09IiLKvET6MHWlRYp1/olhT1Qdkkg9oVefQV4IEtlXSrbu0bJup+xKpR0TTzLjAIleX4t3Lhf65qIo4YOz3rD23/rlLWipKoZJAMcJIjSU2XHLpeHt5VsubUG9QSc1sslhMyvWa8U2c5ZTZiwtlU7Fcqi5UvuxSZfdjHuu7gh7pvdc3YESO58p5Z8LyosV805DWZHm1yotVh7bc9kLe2yP8pdebeBql/JYbJXTpul1colW/et8kYm+Yy5rKFOue+rL2BchikerudJ8aH01Ang/5L9PAIg6OE4QhA0ANgBAc3OzPinLkkyExtdq9bRa2i5rq8LuiF2OaoObuzeuyMpO3EI9cqCQ8g6RbCogwWkzh53r67SZ4U+ik8G8E1tkvdI34sX2/T147NZlkCAFy3YACZe96ZbTqey6b61y4r5rF2LDjq6o40IXNpZxx3aKmH+IUsO8Ey6RPkxzpRPtdSVhdb7DasaP/3Qsqg5JpJ7Qq8/AIz21l+/5JxMRq5IZB9AzYlYu9M2PD7qxedcbYXlw674j+O5NS2C1CIYfJwiVSN4JiFA8furK+fW6pbNQjHn92L6/J+z4uu37e7BkRnm2k2YoM6uVy6HQKIqJSCT/jE4E8P0/Hg17pt//41F8c93itL8Hkd7m15fi/rULcNcTbwbzzv1rF2B+Q1lSn5NI3pnyq4ztBYy5gICMT4s2cCJ5Z9IfwFc+Phvf/f27wet85eOz4QuIij9vBIXWvy60aMcdDcp1T0cG6h4io9FirhTIjwVHCZEkaRuAbQDQ2dlp6FZlJioLrcKzx0pbZLjzeIObeh9bVmiVsKyQ8g6RbNQ7hf/4Y3fwiKyACPzHH7vxwHULEv4M5p3YlOqVYY8PNa6iqLI90bJXi3I62eM3TCYBVrOg2/E5hYL5hyg1zDvhEj3iaeWcOrRVl6B/1AuHzYypgIiffHaZYh0Sr57Qq8+g59FthcII+UfrY8SSHQfQ63jxXOibq+VBu9WEj8yuNfw4QahE8s7pMeX7NTDuxYW1LLO0VFdqx7DHh0eeOxr8OyMfkZEtWpVDieQft8+PnsGJsGcKwPBH25AxWSwmrF3ciPbaEpwa8aK+zI6OhjJYLMkdtJFI3hnRYGyPKJdoUfckkneqnEX42Z/DFy//7M89+MT8Om2+SA4qxP61Xn23XKBn3UNkNFrMlQL5seDoJIDQUxabzv1dQdO6stByB2GiadNqkZOWQtNeSGe6EhWalkqn4iBtJsKjF6rmCge2re9EV88QRAl4+vWT2Lx6nmK9kkydlo3OUi7WV0RElHgfJpW6I1ZfQI+6iHUP6SEXIgmpyfYAuVoebDl3b7oHxjlWEIJlln5yOd8alZTh6Sb5+LbI/MPxCcpXJpMAl90Kjy8Al92asTqSY3tkZJmse1qrnNi8el5BtSUKsa1aaPObFosJi2dUYPGM+D+brkK7t2RsWrWn8mHB0V8AtAuCMBPTC40+BeAz2U2S8WR6B6FSAZzLgyTyma6haduybhEuKLejylnECoQoz7VUOhTDbLZUOrKdNEMQRQnPHu6PKkOvnFeXsbIzkw395goHtqxbFDxWI5fqKyIio4u38CcTfRilvsCDNy3B6o76pD871fopl/tKZBzJ5KFE32WjDL6q5cHmCodm5YORsMzSj8kk4Mp5ddi5YTn6RrxoOLeDu5Dfv0zQsi0Qz8xqJ75z4xJ89Rfnr/WdG5M/vo0oFzDvEKVOr/yTC9FE9VZobVU9y+JcoVc/tBDvLRmbVu2pnF9wJEmSXxCE2wH8XwBmAD+WJOlQlpNlSJnaQRirAM7Vho3Sma6bd72B2y5vw6Mvdus+4UBE2np/2APPpD/sXFLPpB/vD3swMwNlYKHle7UydGFjWUZ2qWeyoS8vnnrwd+/gtsvbYDYBnS2VuKytyvDPkYgo2xIp3xPpwyRbFyvVY3c+/hrmblyRdJSkVOunQhwELjS50kZMNA8l8i4bafBVLQ9qVT4Ykc0ihPWvbJb8eub5QmlzR77ms1ymZ14XRQmiJIblH1ESIYoSnynlHeYdotTpmX+yHU00GwqprVpofRY9+6GFdm/J+LRqT+X8giMAkCRpN4Dd2U4HpTYoGq8AzsWGjdqZroKQnQkHItLWByMTeOC3b0eFUX20tkTTBUeFmu/1Phc7kw390M+Ww0rarSbsDvnsXJkwJCIyGi3K91TqYq3qsXTTX4iDwIUi39qIib7Lek8yZrr9pZQH9W7n5ovjg27c/rNXo/pXuznwrjlOcuhDLa/3j2qf19/qG8E//PKN6CMcKx1YNKNC02sRZZqe9eQhlbzTXOnAYuYdykN61j2FNpZZaG1VPd+lXKBn+5j9QTIarfoipkwkjnKPKEroHhjH/vfOoHtgHKKY/CGw8qDoVVtfwKd/+DKu2voC9hw6FfezYhXAWqQrE+QzXUPZrabg2bly+pOhVukdH3RrkmYiStz4pF+xXHJ7A5pep1DzvVoZWmw1Z6Scj1XPZOqzewbd06u/U6wbiYgoPi3K92NnlOviY2fU62K1eqzWZU8i9YmnPxN9olztZ9G0fGsjJvouZ6pNFvk++/1isP115+Ov44nXTmL3wT68dzrz77pW5YPRZLI9TuH6R72YXVuCrZ++CFuuX4jvffoizK4tQf8o77WWHDaLYl532MyaX+uDEeX80zcyqfm1iDJNz3qyTzXvsDyk/KRX3VOIY5mF1lbVsx2TC/pHvahw2PDlj83C7Sun/1Q4bBl5vuwPktFo1RfhgqMCoFUDItVBUbUCuKbEnvGGTaoD7fKZrnK67VYTNq5sx69eORH870xNOBBR5pUVWxXLpVKHtoH/CjXfq5WhG3/+akY6sJls6Kt99qvvn8WeQ6fQOxReN1Y4bHj71Cj+8O5pTvASEaUp3fJdFCWcGp3A51e04faVs9BQNv173ikRvUPqfRileuzBm5agtSq588sTSX8mBnsLcQA53+RbGzHRvJhMnk20r670Pv/mzT5s2XMYFQ4b1i9vwbbnu3H7f7+Kv/pe5t91rcoHo+HAu37KHRZ8+pIWfO2Xr2Pzrw7iH375Oj59SQvKNe7LFjpfIICvfHx2WF7/ysdnYyogxvnN5JUVK08KuuzGnBQkY2uucOD+tQvC8s79axegucKh+bXqSotU6p4iza9FpAdfIICNK9ujxlO1rnvybfODFgqtrar2Lvky0I7JBQ1ldnzpI20wn3vEZgH40kfaUF+q/fNlf5CMRqu+CHujWaRX2EKtwsmlGipOLoAjw8WbTUgoXanep3TC1JtMAlZ31GPuxhXoH/ViKiDh7icPom/Em/aEQ2RYMqM2aohyWbHVjPuuXYC7n3wzWD7cd+0CFFu1HdAr1Hwvl6GNG5Zj79unERCBHS/1oG/Eizsffw3zN62AKEGz+k+tnlErp5OpV5Q+e+PKdux4qQfDHh8eu3VZ8Pk2lNmxfnkLtu47khfHoxAR5bpky/dQSn2B0PLbYVPvCof2BU6PeVHrSq2uaq1y4uHPXIQ3ToxAlKYHvRY2lYWlP92+mlKdxuN2cl86bcRsHH+QaF5M9OeS6asrvc+bd72B2y5vA4Bgu0v+Ny3HFJRoVT4YTTrlNSVnzBvArgO9+OYNizEx6YejyILH/tSNC2vmZTtphlJTUoRiqwkbrmiDKAEmASi2mlBdov1CBofNgnuv6cA9Tx0K5p97r+mAs4jD9pR/eoc9+Pmfe6LKqKXNFZq3Q02CgG9c04Gvh+Sdb1zTAXOB18mUv6qcRdjZ1YvbLm+DIACSBOzs6sXqBfWaXkeOBnP90iYI57LLrgMnDH0kVKG1VW1ms+K79OFZVdlOWkZIEuD2BbDt+e7g8920qj14Yo2W2B8ko3HYLIrtqWT7Iuy5ZEk6i2HifW7kQFoqC4WUPifVQVG1AvjlY4Nx05XofcrEQLvJJKCtpgRtNSUQRQk/+eyytCccCqlRQ5TLpgIiLGYhbPDQYhY03zFSyPneZBLg8QWwde/RsL+vcNjwSu9Z/POvD2pW/ynVM80VDsWJpWTrX/mzq25dhheOnoEknV881VBmhyhJ2LJuIRw2CywmAV/hBC8RkWbSGchR6gts3XcEG65oQ7HVjLrS2BOGoX2BdPj8Utig14M3LQn792T6apF9nuYKB5493B9VpzWUFQUHFoHpweO+Ea+uA8jZWBSTT1JtI2ZqHCGeRPNiIj8nihIOnjyr2Fefc8cKXFgb/o6q5RGzCRAlaDamkOz9kJ+VfIxVob/jHHjXz8SUHzdc3Iyv/fL14Dv9L1d3YGLKn+2kGUpABB747dtRY6AfnlWj+bW8/gAmpwJh4xOTUwF4/doe+U6kh0H3JFbOrQ8rozaubMeQe1LzdqgvEIDVEr4w0GoxwRdg3qH81FrlxObV8zI+jtxQZsetH27Fg797N3idOz8xOyPRYHKJzRI+F2CzGLed6gsEcHNnc9im2ExEy8oVp8cm8dDe8I0oD+09gqXNFZiZwTGQTCxoItLbVEBUbE8lW15wwVGWaLnrVB7MHXRP4oOzXmze9Qa8UyJaqopx37ULERBFbFo1C493nQieYRxroZDagNyV8+pSnjhXGrBPZAFTIvdJLb0VDmtKEZkSTb987UQH0jkAR5Q7/KKEf/v9u1izqBGCMD1Z8W+/fxdb1i3S9DqFnu+VyvkbO5uCi42A6HJdqVwFELesjVwkqjaxlEr9azIJqHEV4UcvdIdFM7r1w6249ad/CV7j/rULNKt3iIhoWqoLf9QWKcyqcaKypAh9I16IEsIWpGq9QEauc0J3j75zahTzG1xorZ7+Polu6lCq27at71Ss077/Py/Goy92hw0s7uzq1S3CYrYWxeSTVNuIvUNuvH1qFJ9fMR3dZ9eBE7otbk40L8b6OfndePvUqGL+PHxqFDOrw++DWh7pbKnEgZ4hTcYUkpWJd9wIi/S0WqhJsTmsFvzL06+EvdP/8vQh7PjcsiynzFhOj6lHf4hcGJkuf0DCo//vWNj4xKP/7xgeuG6hptchY5S1uc5mNkVFH9y67wh2bliu+bUCInQZ2yPSi8kk4Mp5ddi5Yfm5jY7F6Ggo1byc8gck/NfLPWGbVP7r5R6snFOr6XVyyfFBN27/2atR/YbdBt0kqle0rFzh8fkV+5cen/YL8jneQUaj1VwpFxxliVZRhwAEC7fbLm8LDiw3lNlxc2czNuzoCgsht33/9BECsRYKqQ3I7d64QtOJ80R2dSZyn44PurFlz+GwBtKWPYex9VNLM3qUUSoVixYDcOwcE6VvfNKvuMp/fFL7RmghD7wrlfNz6lyq5XpzhQO/ebMvuHBWLldtFiHYKYxX1sbaNS8fk5nKoqDI73JjZ1NwJ5D8Ge8PeQryCD0iolyktEihpaoYARH4/GPn+0gPXLcQF80ox3tnxhOuaxIlh6qPPG5zdp0LARHBPtXDn7ko6tqRfTWlPlpXz5BinfZK73DUJM+29Z26RVjkkW6JSbaNKIoSXuk9GxYxSz4mMF8WN8vvxudXtCm2md7tH8P8htKw76I2bnBZWxWaK4vRUuXEP//6ICocNtzY2YTZtS5I0vT9MpkE1bZf/2jq96x7YFzTd9wog9Z+v4hDfSNhE2QWiynbyTKcgfFJxXf6zPhkllJkTC67Bbdc2hLcLS+Pq7rs2g+l+wOi4viE36BRCLLFKGVtrvP4AoqL9Tw+7aMOjXmVx/bGvIz4RvlJFCXFCLZal1N9oxP4zLIWfPf35yMcfeXjs3FqdAKz6lyaXSeXnBrRvk+Qy1qrnLh7zfzg8e4WE3D3mvmGPXWh1G5V7F+W2q2aX+vYGeX56Dl1Ls0XpRPpQau5Ui44ypJkjydT6xTNqXMF/04QzocTv35pU9Rugof2HsFjty5Djaso5iKVeJOxWk2cJ7KrM5H7NOieVMwMkiRm9CijbAyks3NMpI1Su1Vxx9V27grVVGQ5X19qx/tDE4rlek2JHX/qHgwuNgLOl6sbrmhLqKyNt2v+9JhXs+NBPb5A1DUe7zqBu9fMx33PvJWReoeIiBKntEjhvmsXBjdkANN1wz//+mDwmLUKhw195wYitYiA4g9IuLEzvF9W4bChd8iDr/7i9bC6Ys+mFTg1qr6pQ6mPJkpQrNMi5ye9UyKsZkG3/kKqi3sptuOD7qgokfIxgfmyuFl+N3YdiG4zyYunLruwKuw9iTVu0FpdguZKJ5Y2l6se2euwWRTzicNmTuk7TC+qUW9rpvKOG2GRnt8v4onXT+KuJ94MPoP71y7A2sWNXHSkseqSIsV3uqok9lGhlByPL6B4NEdnS4Xm17JbLYrjE4/dyvEJLRmhrM0HDWV2xcV6DWXat1XKilXG9ph3KE/pVU7ZLebgYiP5Ot/9/buGjpZYZDEptp+sZmO2U0VRwlnPVNhmlfvXLghuyjCaEa8PG1e2R80Rj3p9ml/rgxGP4nx034iHC44oL6nOlSbZnuKCoyxJJLpPKLXGxr//9dKoSjJy8ZHMOyVCghS3cRJrMlbr6DrxdnUmcp/UQrV+eNbytCIyxfuu2RhIZ+eYSBtDbp/ijqtht/aN0EIXWs53D4zjricPRnUAtqxbBLMJqpEaxIjzkCPLWrm8Pj7oxjunRuGwmVXrMbV6pbnCge6B8YSPbeseGI+6xrDHB7d3CttvXQYRUsEdoUdElEuUFimotd9FCXho7xHcdnkbHnnuaPDv02nXHx90464nD+KOle1h17x+aVPUBKYcTXZ5W3Xw5yL7Ig1l0X20p18/iS3rFoVFBtyybhEe/N07YWmxW02oK9VvQUqqi3spNrX3d3adK28WN8vvRt+IF2PeKWy4og2iNB3if8dL09GYld6TyKNzI/vpogTVI3t9gYDi4PNUipFDDvWNKLYDE33HldJvhEV6h/pG8L19R8J2+n5v3xG015Zg8QztF2gUMkmSsGlVe9RkviRJ8X+ZEjY+qXw0RyaiIg+6JxXHJwbdjFqlJSOUtfkgIEJxsd6V87U/xmfEM6WYd0YmpjS/FpEe9Cqnzk4UXt5RW5AyloEFKbngUN9IcCMAMP0e3fXEm4Ztm1c57djZ9VbUEXJbP3WR5tcqMpu52JUM5cy4Nn0RLjjKkkSi+4SKbGw0lNlx/dIm+AIiNq2ahce7TmDXgRPBShNQ3u2ayABYrMlYvaPrJHKflKJMeKdEeHyBlI8ySiSSUDYG0tk5JtJGhcOKL32kDWfcPogSYBaAL32kDeUO7cNs0nn9o170DE5gx0s9YR2AxnI7+ka8qpEaIquY0LJWqbz+ysdn459Wz8W/7nk7arGqUr3SXOEIC1ncUlWM+65dCKtZUF181FrlxDfXLcLXQiZ5N61qh91qRm1pEVqrWSYTEWWb3BdorXLi+KAbE1OBYN+pb8QLYLpOkSQEN23I0m3X94964fNLKIsI7a22MSRyIa1SXyTy6LXNq+fhynl1WNhYFlanWc2mjEV5TUSym2soMWr9z3n1pXmzuDn03XjsTz1RERBivSeiKOHYGTcO943iyOkxPN51InhcfI3Lppqval127OzqjRp8Xr0gtYnPvhEvHu86ETVhcf/aBXHfcbW8Pb/BlfeL9NQiTw9xwYTmxrx+bN8f3p/avr8H7dxRramWSidaqoqxZlFjsH3w9Osn0VypfV1WX2pXHJ+o13GxcCHggmh9nB5THrseGPdqHvmhtNiimHdKiznlRflJr3Kq0mFTzDsVDpum18kl1SXKC1K+l4EFKbmgT+UIuVMjXiyekaVEZVBHQynuWNkeFW21o6FM82u5fcqL0t0+HudJ+UmtL1KXZN3D1lcWJbMYJrSx0VBmx/rlLWEDOZtWtWP7/h7s7OrFtvWdKLaZ0F5bErbbNdFBXrVFPtmKrhPvPqk1xNLZxZvId83GQDo7x0TaKLKY4fYFwsKKblrVjiJLakcrUGJCd7XLESTsVhPWLW0EMD2AGzl58811i+AoOh+xKLKsVSqvv/v7d3H7x2bhtsvbYDYBq+bWYmFjeXAyLrJe6R4YD35GQ5kdN3c2B4/cUVtcazIJuGpBAypLbPhgeALFNgv6znpwQUVxRgahiYgoNUoT/HLfadjjCx7jFLrAVYt2fV2pHTd2NuH+3W+F1W1mIf7GELW+yG/uWIHdChsxIvtK6UR51UKym2soMWr9z5nV+dPuUDpu98r59RgYj/2eKOVjOe/e+fhr2LlheczolptXz9Os395QVoxhjy9sAb1JAObWu+K+47Hydr4v0iu12xR3+v7nbZdkOWXGU+uyY9jjC/angHNHVLt4pJqWWiodihNXLZUOza9lFgTF8QmzwHpTS1wQrQ89x66LzCblsT2DHpFExqdXOWW3Kucdu9W4ecdVZMGnPtQcFSHSZTfm5uOGsmLFsrg+A8db5gKLxYS1ixvRXluCUyNe1JfZ0dFQlpGjnZsrnYr3lvMBlK9U+yJJjuFxwVEWJXM8WWhj4/qlTVEDOQ/tnT7bu660CAFxejfB4qYy/OaOFXEH75QoDVznWnSd0Pv3w/WduOvJg+gZnNCkIZbId83GQDo7x0TaGJv04+d/6Q0L+f/zv/RiYaP2q97pvHhl2ObV87Blz+HgQqHOlkpc1lYFk0mImmAFphcKvds/plhee/0iHn2xGw/etCRssZEstA4xCQIqHDb0jXgV61i1xbUWiwmXtVXj+KAbp8e86LiglBOqREQ5RmmC/6G9R7Bt/cXo6hkOHuMkRxm57MIqxXZ9skdLt1Y5MbvWhZ7BCex5sw/fvGExJnx+lDts+D/XL8Q//uqganterS8yMO7F8rbquH2vVKO8aikX0mA0evU/E33Xk8kTSj8b+m7Ei3iglI+37jt/DKLHF1BtY2p93zoaSnH/2gW464k38chzR4OLEObWlcb93Vh5O98X6fn8ouJ3S/XoOlI3GQjg62vm4dToZHAHal1pEe+1xnqHPYpHkSxtrtC8bhtVGZ9YwPEJTXFBtD70HLse8wU4tkeGYjIJuHJeHXZuWI6+ES8azi2a0LqcGp8MKB59uLTZeEdtyU6NevHbg+f65ZN+OIos+OHz7+Gi5nLMNGCfNbTPkumIP7nCYjFh8YyKjEdwmlmd/xuBiEJp1RfhgqMsSeTIrlChnSK1yVVRkvBW35jiZwJIaoBcidoOBQECugfGde2kKd2/LesWobHcjkpnUdppSXQ3RiID6clOTsTCzjGRNkRRVAz5HxA5SJuKRMu5eGXY6o56zK13Kf5baFkbWgd8fkWbYnm9YlY1rr+oUTEtsaJdFFlMinXsqRHlxbWcUCUjaZzRjA9OvJ/S717QNAMn3+/VOEVE6VOb4LeaTVi7pDFqgZHSkZjx+m5q9eC8hlK0VBVj9YIGfO2XrweP7fzqlXOw4Yo2iNJ0ZBSbRUDvkBt9I9O/X+tKbme4lv0Nym2ZbnckMk4R62gzpfGMZMc+lKjlY0E4H934kplVqm3MdI5aj8xb6eyejTXOkO9tSkZj1k+tqwjdA+6wHaj3XtPBCEca03PTpdr4hMjxCc3le1mbL2wWIaqtmwkc2yOjEUUJzx7uT6vdnAj3pMqRUJPGPRKqocyOTy483y+Xx4KNenypxWLCmo4GtFQ6cGp0EvWlRViYoYg/hUavhYFEetGqL8IFR1mSyvFkcqcIgOI54g6bGbf+9C9RnznnjhV4p195IVIyhaDSDoU7PzEbf7fztZgDjJmgdP8273oDuzU63k2r3RhaDK5GYueYKH0OmwU7u8JX7e7s6sW3b1ic3YTloVQW0KqVYYmWb6F1wK4DJ6KOYXvwpiX4UGulajl77Iw7GEkpdNX2jZ1NmFmtHBZ1MiDC7xfZMSND++DE+7j5B39K6Xd3fuEyjVNDpI1Yxy8n2qaO1XdrrXKq1oMzq52479qFwWM6G8rs+OqVc4ODnKHp2XBFG7bunY6W8vBnLlLti0QugGiucOgyKE2F4dgZ5Xd9zh0rcGFtSdyjzZTGM5IZ+1BbPKeWj00CwiIZadlPjtXGtVhMWNhYDpd9Oq29w56EFvoZOWKxSQA2rWqPOqaCxZD2ht1T+Pc/HA3ry/z7H45iTt1FaKnKbtqMRG3xb02J9hOTJUVWxfGJ79y4RPNrEWXa8UE3bv/Zq1F5R6sx+1BO5h0ymFTmDFNR7rAq1nFlxcY8XgwAAiIUI3hcOb8+uwnLEL9fxDOH+qIiHK1d3Mix7TSJooT/1z2AsYkA3JN++EUJZyd8WDGrlmMwlJccNovi8eg7Prcsqc/hgqMsSWenTHOF8jnioiQpfmbvkHYNlcgdCvKZyJlq/KjJ9E6j6FWqxehoKE26wtCrkUhEyRnxTimu2h3xTmU7aXknG+VcaB3QN+LFjpd6cNvlbVjUWIr2OlfYhI/SxOx7A+OKz39RUyl8ARF3r5mP+555K+zf/uWpN7H1Uxdh8QzjhhcmIjIiLSb4Y/U9AMSsB61mIbjYaP3yFhw9rRat9vz/v/1nr2LPphX4zR0r0DvkhsNmQV1pkeKO1y3rFuHB373D/gZpomfIrTqmcGFtSdyjzZT644n23WMt8FHKxw9ctxBLm8vRXJmZiF6pLjSMlRYjRyw+NujG9v09wUkcSQK27+/B3HqXIY+pyKYz7knFvswZ92S2k2YoZpPyIjpzBuboxiZ9is90fJLjE5R/9IwOdnZCOe+MTPg0vQ6RXvTKP8MeH77y8dn47u/fDeadr3x8Nka8xs07Qx7l9tOwZxKA8dqqh/pGFI+Gba8t4dh2mt4fduODs5O49+lDwXfpnqs78P6wGy1VxnuXyPhOj08q1j0D48n1L7ngKEvSCTetdo74zg3LFT/TYbNo0lBR26EgDy6qDRpmIrx/psN1axW+Us9OFhElrrTIqrhqd/utya3apeyUc5F1QN+IF4++2B21Y05p4mrb+k74/KLi89+5YTlcdiuO9o+HTZbseKkHADDq9WP/e2d4XA1lHI82I9KOFhP8sfoe8epB+XevX9qErfuOqB4FKknhv9834sWwZyqqDlOK8ir3x5Sur4RHsJEap82iOqYAxD/aTKk/nmjfPd4idr0X6qh91/7R+AsNQynlNyNGLHbaLBj2+MLKotB3h7RTamdfVg99I1789mAfvnnDYkz4/HDYLPjh8+/houZyxeNX01FsVX6mj/GZUh7S84hNju2R0eiVf1x2K373Vngd99ifunHRjHmaXieX2Mwm1bFgI+obUe7L9I14sXhGlhJlEP0j5xcbAdP39d6nD2H7rcu44IjyUqXTplj3VDhsSX0Oe/5Zks5OW7WBL48vgIc/cxHeODECUQLMArCwqQx1pUWaNFRiDS4qfWYmjhOTZToUuVYRO/TsZBFR4oYmfIrl2TB3QSVNi3Iu2YnPROsApbK8q2cIFpNJtR5d2FiOOfWl+MJ/Hgj+TEOZHbdc2oK/3d6leX1GpIRHmxFpK/KoJVGU0D0wrlm9E6selH/37VOj8E4pHwW6aVU7tu/vCft9peOyu3qGFOuvyGgLserhTPbRSF2+LPKqKy1SjOhRV1p07t/jH20WKdF2W7zFe3ofLe5QXXxl1iRqUy4+/3TEe3dIO0Nu5b7skId9WS01lNmxZvEFwWNQ7VYT7vzEbNSXaj+eN+RRGZ/gM6U8pOfxoRzbI6PRK/9Ikoh1S5vD6rh71nRAghj/l/OUxxdQHQs2opqSIrRUFWPNosbg/O3Tr59EdQnb5ukaZFucDMZVZMG913TgnqfOR+2695oOuOzJLSHigqMsSWenbazJ3Xf6x7Dt+e6wBklTuSPphorSgKjadSUJip+ZyWN2Mh2KXKuIHXp2sogocVUO5VW7lUmu2qX0y7lUJmISrQOUynJRAgKiqPj860rtMJkEXNJSiQeuW4h//vVBeKdE3NjZFJw8AVKrz/JlopGIKNdoXX5qXe/Eqwflo5rrXEXY9nx32FGgZhOwak4tBtyTwUlF+fd9AVGxDlOqvzpbKoN/H68e5pHP+sunRSfNlU6015WEHaPeXleC5srp9ymVo80SbbfpsVknmfLEFwhELQ7cuLIdUwEx4bQeO1M4+S3eu0PaUduBWulkX1ZL/oCEB3/3blj+ffB372LlnFrNr1Wt8kyr+EwpD+l5fCjH9sho9Mo/dosF9z4TEaHlmUPY+bfGjPYDqPc16jKwkDgXWC0C7vzEbLw34A4Gp7jzE7NRZMmt/mc+qnUpB/jgYi7KV6IkodxhxbdvWAy3zw+nzQKrRYAUGoo9AVxwlAOSfGZornDg/rULgseq2a0m3L92ASxm5bDeuzeuCGuo1JfaERCBl48NKg6yiaKEfe/0R0VK+mh7bdTg4r9etxBlDguunH8pOhpKwz4n2UU7yU4mZGKHo5yGiakANq2ahce7TqBvZDpkeiqDnXp2sogocR6fX/Gsas+UPyvpyefFKImUc7G+X6oTn3Id0FrlxPFBd1SdJooSHDYzNq6aBVECdh2YLs+ffv0k/umT86J2YMuTs6Io4cVjZ9A/6sW9V3fAaY/e3S6nM9FFqPEmGvP5+RMRZVImFmrEqndaq5w4dsaNniE3nDYL6kqLgoso1Poe8epB+ajmLXsOBxcvyEeBPnjTEixsKgcA7I74/eOD7qj65+nXT2LLukXYvOuNsPtxWVsVdm9cgSH3JKxmEzy+AI4PuhNejOudOn9MVCp1kR71WD7Xlbm6yEvtnq6cU4e26hLF91ntfZe/58iEDwERODM+iYayYnQ0lMJiMSXUd9diEXusdySR8iT0Mxw2C/a9fSrsmN2dXb1YvaA+obSKooTDfaOabGQiClVfVoT7rl2Au588PyZ437ULUF/GSQ4t9Q57FPPv+8MezKpzaXqtXBufINJKsnMeyWLeISPLZP7xTAVQ4bDh+qVNweg3uw6cgGfKmNF+APU51eYKR7aTlhEmQcCIZyrs70Y8UxCE/OhDp0KvMQMRkuLGFAkZrvSIMsQsCJic8qPcUQS/KKG02IKznkmYkiwvuOAoS9IZPO8d9uB7+46EDXx9b98RfHPd4piDWfLEbLzr9g65caR/PCxS0qZV7ZhVUxIcXOwf9WIqIOHuJw+iZ3BC8XOS2aGYC7s+ldIgH28w7PFhy7pFGHRPwiQAARE4PZa9hVFElJ7SYisqHJawVbse3xRKi6y6pyUXyr90hZZzkY375goHnj3cr/r90okop3bvrpxXF3XNjSvbsbOrF3d+Yg5Wzq7FB/UTWNpcAY/Pj+ZKJ2ZWT5flx8+M40j/eNhipK+vmY+WqmL0DE4Er53MItR4k9v5/vwpx5gs2RlASOO6FzTNwMn3ezVOEBlBJhZqxFpw8/apsai+QHtdCVbOqUu5vR/6HXa81INNq9oxo8KBIqsJbdUlqr+vtKBh8+p5uHJeHRY2lilGWopMv9JiCrVjoqYCEq7a+kLSdZEe7Zh8bytpFT1XS/Huaaz+q9IRhXsOncKPX3wP65Y2B3dLy4P4axc3wmIxKX5W5OemullH6ftsWbcIf7WgIXhtpfJky57DaCy3w+MLoNZlx7HBcdz+s1fD0v+9fUfCxjzkNMVL6/FBN46cHiuYI9aPD7qD905mt5qw24DRnLJtyi9BksSovuyUn5McWipV2Hhit5qSPlogoWsVW1FsNYVFCCu2mrIyPkGULrWNzPHa06nIpbE9Ii3o1e+pL7XjSx9pwxm3L5hPv/SRtowcG5orTpz1wDPpD6trPZN+nDjrQWu18dqq3ikRbl8gao53MqJfahR6jhlUOYuws6tXcWMKUT7yiyIkCOjqGZ6uE84AbTVO+MXkygsuOMqSdAbP+0e96BmcwCPPHQ37e4/PH3cwK96k5/FBN06enYg6OuahvUewtLkCrdXnBxblAWm19CezQzEXdn0qpeGhvUfw2K3LMOkXcfeTB+HzS7jl0paoqBj5MthNRNMkCRh0T+HrT70VvrAyC2nJhfJPK2qTPQ/+7h3V75fO8Rlq927nhuVRf7913xF884bF+M6zb8NqNmF1R32wQxm6SMosCFF14DeeeQv/8T8vxpf+80BKO+5jTTQCytEJ8/H5U44Q/bj5B39K6Vd3fuGy/LsuGVomFmqo1TsOmxm3/vQvUX2BDVe0oa069c0Dkd/BJAj4+1++HrcvEWtBg9JikHjtCbmODo20FFpX3/3kwZTqIj3aMfneVtLjqLBkaXlP5c/65g2L8bVz77b8mXc98Sbaa0uweEZFQp+V6mYdpe+zedcbqHDYcPmsasVF7g1ldtzc2Yybt70U1h+ocNjQN+INpn/nhuWYmJpekNRc4YjaNauW1v5RLx7vOhGV3x64bqEhj1jPxYV1RnVmfFKxL3tmfBIX1mobeaeQmQUhKiruplXtMGdgYf9UQMIDv307qp7Y/rllml+LKNNibWTWelI/l8b2iLSgV7/H7fMrLkZx+4wbHax/dFKxrp1TX2rQBUcBxTneH93SmeWUZYaeYwatVU5sXj0v5ci8RLnGHwA+OOuNqhOaypOLABd/mxllRLzJx1jkActQdqsJzZXTC3zkf1Mq6GLt6N1z6BSu2voCXj42pPgznpAGRyLplwfJd29cgZ9vuCR4tJvSwpx07odW1NLg8fmxYUcXegYncP3SpqiK+s7HX8PxQbdu6SSi9I1N+hUb3WOT+nescqH804raZM+aRY1hPxf6/eTFqbHqLjVq906eJIr8+3f7x9AzOBFWbssTsFdtfQGf/uHLePG9M4q/C0lKqD5TolZv17rshnr+RERai1V+pkqt3vEFRMXyWJSQVpkc+h3++pLm4JEP8uff+fhrOHZGuS8hL75Y3laNtpqSmPVOvPpErqN7Biew46Ue3HZ5GzaumoWdG5bjgnJ7WBS/yN+NRY96LN/rynTaOpmi5T2VP2ti0q/4madGMv+c1L5PV89QsM0XWZ5cv7QpuBBI/vmH9h7B9Uubwj5jYiqA5W3VaK1y4tnD/cE241VbX8CeQ6cgispRZepK7Rj2+IL57faVs7DhijYsbS435GalTJTXpMznlxT7sj5GONLUByNebN9/Pv/ednkbtu/vwQcZKNP6RydVxmonNb8WUab1j04qllGZeJ9zaWyPSAt69XuG3D7FvDPk9ml6nVzi9in3VTwGXWSl/n2NeWxevKPjtZTMvDdRPhj3KbenxpMsHxnhKEvUdjkKENA9MB4zdHhrlRMPf+aiqNCkM6unj4SJFdY70R29Sj/TXOmM+zmRg0mJ7lDMhV2f6vfGEvw7QQB37REZgFflrOpshBXNhfJPK2qNe3PI3ENDmR03djbB4wsE67tEjs9QOodZ7d41lCn/vXz+eWi5HblISpTU68BUj8eMF/HPKM+fiEhryURMTZTJJODKeXXYuWE5+ka8aCizo6OhDL3DHsXy2CRAkwVOdz7+GmpKihTryd4hNy6sjY66l8jxzbJ47YnQOrpvxBuMlnvZhVWodaXeFtGjHZPvbaV0jgrLFC3vqfxZjiLl44fqy1J7TsnkBbXvIx+FLh8vH1qemE3KffvQ4CWh90RuM4b2Id45NYr5DS7FXdGh13vkuaPB8it0XMVIMlFek7KJKb9iX3ZiypgTSNlS6yrCsMcXFl1+ukwo0vxadaVFaKkqxppFjcFn+vTrJ1FXqv21iDJNz0n9XBrbI9JCXaldsT7Qut8zMRVQzKden3HzTkulM+6cp5E0lBUr980M2rZw2CyKecdhM2fkeqlG5iXKRVq1p7jgKEuUBmM2rWrH3+18DcMeX9xjuianpLDwVt+5cQmA+AWd2iBQ6I7eXQeiw34/eNMSzKx2xv2cVAeTcmFwSi0NdaVFYZVzPg92E9G0hjJ71PGIm1a1Z2VALxfKP62oTfZ0tlTCbjWhwmFTPZYyVt2ldg7zlfPqFO9dR0NZ1N9vXNmOHS/1BNOkNAELKNeBD1y3EGbTdDpSmRyMNdFopOdPRKS1TCzUEEUJzx7uT6hO2bSqHe11JWkvcJK/w8mzE6obHOS0KR1N+lcLGmCxxA5OHK8+ibXAJJ26SI96zAh1Za4NSGp5T+XP+vGL7+GeNR2495lDwc+8f+0CdDSUJf2Zam0/tTGS1iontqxbhM273ghr++3s6sW6pdORNiPLk2KrJTimIpMXGcr/P/Se9I96UeGwYf3ylrB2YkuVE03lDvQOe6IWR+XaQrNMKrTvm01NlcWKfdmmSo5LaanIasK913TgnqfOl2n3XtMRFclLC64iE7780XZ8/ak3g9f6xjUL4CriwQSUf/Sc1K8vLVIe23PZNL8WkR6aKxy4Y2U77nrizbD2dHNFcsfaxHOB2mKUcmMuRgGAmdXK/Z/QOU8jmV9fivvXLoh6l+an0DfLB6Ik4otXzArri96zpgOSxAigRPFoNVcqGDHDdXZ2Sl1dXdlORlzyjr2eQTdeff8sftF1An3nQvParSbsVjlf8r3T4/ir770Q1SD4zR0rgjtjE7lu6CDQ8UE3rtp6/jMXNZZiwxUXwmQCGssd6GgojRrkVvqcdAaT/H4Rh/pGwnYaxxtY15rSdwIQHOyMNVmeBwNpcROYL3mHKF2v9AzhMz96Oaoc/dnnL8HSlkqlX4mZf9LNO1qXp+lKNrqC/POD7kl8cNYbNtkjT+L2DnswMDaJv/nJn6Puu1p9J+seGA+ro0J/T67DIu9d6HeYCki4+8mD6BmciCq3lT67paoY3/vURegdnsC7/WP4RdeJhBYDpyrXnr/GWPekQBAE3PyDP6X0uzu/cFle/q4R+yQayGjdU6ji1SnHzrjRO+SGw2ZBXWkRmiu1K5OPnxnHb988FdaX+Pqa+fjwrCq0VJWopm3b+k5cPqt6+jNi1M+x6pN4CzjSqYv0qMeSvAbrngSo3dNUomzJvzM64YNfBM6MT6bVp4+VT9XajH6/iD91D+LtvhHUlzvQO+jG4qZyXNpWpZgGtTwxv8GFU6PR71n3wDieeO2k4iKlbes7sWFHVz6OEShJue5JNUIbJef194dx87aXot7DnRuWY/GMiiymzFiOnxlHV88Q7BYL3D4/nDYLvH4/OlsqFaOaIY2658DxIfz1o9HjE/912yW4uFVxfIIoZ4mihN++eQpf/cX5+vU7Ny7BJxeo1osp55033h/GTQrl4eMblmMRy0PKQym0gVNqtx0/M44/Hx/C1588vzjjG9d2YFmrah1nCAYff40iz7eeGvGiPkvzrXpJoX2c1pgB+z1kJFrNlTLCURbJuxz7R73Yuvdo2L/FOqarZ8gdNxR/ItcN/ezQHY4VDhs+ubABf//L12MOmGm5S1Ntp7Heg3Rq3yl0p159qR1Xzq/HwHhhNEyIjOjMuE+xHD0znp2zqnNp13uyO8ojf76lqhjb1nfCahbCGtxyfZfKsZTxfk/p3oXeU1GU8JPPLlPsUCrt8N+8eh6cRVb8/S/COyp3Pv4a5sZZHJWKXHr+RERGF69OubC2JKE+VSqaK52Yf4EL371pCQ6fGkVABH7w/Hsod9gwo8KpmrauniE0Vxbjrb6xmPVzrPokXvSRdOoiPeox1pXaU7qnybYDIz9LK6m0GS0WEy5rq8Kwx4evxRnLkNOsGoFS5Yi02bUu1Twq/713SsxYmzGXpfruUPLU8kf/6GSWUmRMARG464lDips9tTYwPplT4xNE6SqyCthwRRtECTAJ0/+dCWpje4Nu5h3KT6mOmyZrcNwHry8Qlk+9vgAGx31ordbsMjmn0PqUFosJi2dUYPGMbKck8zw+5WMCPT7tjxxmv4eMRqu5Ui44ygGxwtsrcdosMUPxpyJ0sC0yAoUeA2bHB93BAlqvayZDqTGSqYkIIsq80mLlctRlZ7WYbHkc+fM9gxPYsKNLcfdNsvVdur8nS2UC9uVjg7p08omISF/p1inpMJkENJU7o6LVyvWsWtoCItA/Opl2f6nQBlgpebnSL081n/YOe4KRNoH46U8mT5hMAuY1lKrm0VCF2GbMlXenEFQ5ixTfw0onjxDS0ukx5UnfgXGv5uOBriLl8QlnkVnT6xDp4figG7f/7NWkI1unwlFkVsw7xTbmHcpPevVVJ6YCeOC3b0dd50e3dGp6HSK9qOWdulLtx3nY7yGjUZsrLS1Obq7UmPHT8owcXUE+B1xeESkf5xWprrQIm1a1h/18KufpRZIH20RJUp1kzZRYq7eJiLQ2MeXHxpXh5ejGle2Y9Gu/6j3fJFseJ/PzydZ36f5eouT6b3lbNdpqSmAyCcGOSii9JqSB6d0S3QPj2P/eGXQPjEMUedwUEZEWMl2nxKM2gXl6zIvWKie2rFsU1T555o2TcPv8We0vsV4qDLnSL081n2Y6/TOro9P1zXWLUGY34/aVs3D7ylloKLPr2mbMFbny7hQCEZJiX1YCy2Ut6dkfLLaZFcd5nVw0QXlIz/rA41Me25vIQEQLIj3o1VdV61tmIhpMLmGf1rj0HOdhv4eMZsovKran/JE7q+JgKIccEC+8faTmSifa60rCQh6215WguTK88Ez1HMlal/Jq0JqSxDrV8tmgfSNeNJQVo6OhNO7ZoNncaUxEhafaacfOrrdw2+VtEARAkoCdXb343qcvynbSsi7Z8jiZn0+2vkv399QkUj8qHbUW2lFJto5N5ucZmlVbjTOa8cGJ91P63QuaZuDk+726X5eIUu/LxKN1nZKsWPWmySTgrxY0oMJhQ1fPEALidPtk8+p5aKl0ZqS/lMh9Zr2U/xLNT6HvZ0OZHdcvbYLZBBRbLRBFSbfnnWo+VctfxVYz9r93Ju2yJDJdNSV2HBscx4O/PxLMG5tWtaO9rkS3RYy5gmM6+ql0FGFnV29UX/Z/dNRnO2mG0lrlxA/WL8XYRADuST+cdgtcdnNG8nal04amCju2rb8Yw+4pVDitGJnwoYJRqzSXqfYlnZfuvEIyakrsuJdje2QgevVVG8qKFfNpfZoBDXJZIfZpC6nO03Och/0eMpoLyopx15NvRrWnrpz/oaQ+hwuOckSyobxXzqlDW3WJauGZTgVqNgGbVrXjob3hg2bmBOJh+f0innj9JO564s3g796/dgHWLm6Muego3sQuEZGWHFYzPvWh5qhyzmlltZhseZzsz6d6nItWx8AkWj/G6qgkW8cm+/MMzaqtD068j5t/8KeUfnfnFy7Lu+vmJZMFgpDaIEA6i8Iod2V6MDCbR4vFqzctFhMun1WNpopinB7zYt3SRrRWOSGKEu5fuyCqn9Vc4Ug5LYneZ9ZL+S2Z/CS/n1v2HMbNnc3Yum+6rbzt+W7dB+RTyadK+ev+tQuw8eevomdwQpOyJDRd3QPjYcfGeKdEPLT3CH5zxwrDDuar4ZiOfkwCFPuyBfbKZZwoShgY80XVu5lYfHlBaTH+fHwY//DLA8FrfePaBbigtFjT6xS6QpxszoZ05hWSxbE9MiI9+qqzq0vwjWsW4OtPna/jvnHNAsyucWXsmtlWaH3aQqzz9BrnYb+HDEelf5nsUD1bX3kqXuGZTgXaN+LF9v09YavZtu/vwUXN5Witjv27h/pGgp1x+bp3PfEm2mtLsHhGRczvk82dxkRUWN4741Ys5y6sKcGFdcbtXCUi2fI438rvZOpHtbo22To22Z+PFZrViJ1gIoh+Ls6iMEYeDEyk3lSqf44PuvG9fUfC2i7f23cES5srUr4nid5n1kv5Ldm2z+qOejSW23HztpfyLg9G5q9iqzm42AjQ/nuo5Y2BcS8urM3d+5QJ+dYnyGfHBpX7snPrXZiZw/kz36Q6vpmKw/2j+PqT4df6+pNvYk6d9tcqZEZuX+aSdOYVksWxPaLUvDMwhkf+EN63fOQPRzCn3rj1TqH1aVnnZQ77PWQ07w3EaE/VJt6e4oIjg0qnAq0rtWPY48Mjzx0N/l2iIeH6RpSve2rEi8UzYv9uNncaE1FhsVtNiuWcfE5poUu2PM6H8lsOI/tu/1jaHcxk69hkf56hWYmo0Bl9MDCRejMy/Hn/qBc9gxNhbRcAad2TRO8z66X8lmx+MpkEeHyBvM2Doflr/3tngouNZFp+D+YNZZKU7RQYm9NmUezLOmwc4tVSOuObuXytQmb09mWuSGdeIVkc2yNKTd+Ict/SyPVOobXbWedlVj7MhRAlSqv2FFtfBiWflxwq0fOS5ZBw8u8nExJOPv818rr1ZblbcYuihO6Bcex/7wy6B8YhihwdIzK6MrsVm1a1h5Vzm1a1o9RuzXLKSCuhZfvxM+PYc+gUrtr6At78YFSxnkqmgyl3UhP9jGR/Pp162KgaZzRDEISU/hBRZmWiLZ1suWk0cvjzq7a+gE//8GVctfUF+AOS5vck0fvMeim/qT3nmhK7at5NZzwhl2S6LGHeOE+p3Npz6BTHVzKgrrRIsS9bV1qU5ZQZi57jm6rXKs2vMjfXFXr7Ui961o0c2yNKTT7O4aWr0NrtRunPJYPzvESp0ao9ldPbXwRBuBHAvwCYB2CZJEld2U1R/kjnvOR0QsJ1NJTi/rULos4472go0+Bbaa8QzzIlIqDcacUF5XZsuKINogSYBOCCcjsqnByUMILIsn3jqlnY9nw3vFMidh04gY0r27F135Gwcj+ZDmayZzUn+/MMzRrtgxPv88gtohyUqbZ0suWm0SiFP7/ryYPYsm4RNu96Q7N7kuh9Zr2U39Se87HBcdz+s1cV82464wm5JNNlCfPGeTy2QT9N5Q40VRSH9WWbKorRVO7IdtIMRc/xzbJiC+65ugP3Pn0oeK17ru5AmYPjE1oq9PalXvSsGzm2R5SafJvD00KhtduN0p9LFOd5iVKnVXsqpxccAXgTwPUAfpDthOSbdM9LTjUknMViwtrFjWivLcGpES/qy+zoaCiDxZKbNRkHxYgK03sDbjzxykl89vKZOOuZQrnDip++eAylditaqpj3811k2S5KCP7/vhEvdrw0XT8uaixFe50r6Q5msp3UVDq1DM1KRPkgU23pQhsMjKQU/rxncAKN5Xbs1vCeJHOfWS/lL6XnbBKA1Q+9oJp30x1PyBV6lCXMG9N4bIN+eoc9+Paz72DNokYIAhAQgW8/+w46LijjvdaQnuOb3Wfc+O+Xe/DNGxZjwudHsc2CHz3/HupLi/KqzM11hd6+1JNedSPH9ohSk29zeFoppHa7UfpzieI8L1HqtGpP5fSCI0mSDgPgcRgp0PO85EgWiwmLZ1TkxXmvHBQjKkxOmwX7jw3huXfPBP/ObjXhix+dlcVUkVaUyvbQc7r7Rrx49MVu7E6j05FsJ7WQOrWGYrKwHUoUQybb0oVcbspHfoTeW7vVhEpnkeb3pJDvcyGJfM773zsTM+9mczxBa3zH9aFWbuXjO5Pr+ke96BmcCMufADiOlQF6jW86bRa8e3ocG//71eDf2a0mOGw5PWyfl1gnGAvH9ohSl09zeJQ8I/XnEsF5XqLUadWeMkzPRRCEDQA2AEBzc3OWU5N9DBObGA6KMe9QYaorLVIMK1pXWpTwZzDv5K7Isn3XgRNRz5t1YnblTf4R/TzKjXJKruUdtqUzg325zMi1/JNN8fIu30EKlUje4TujH9a9+SWR/KPF+ASR0TDvEKWGfR4CCq9trlX7mPmHCpFW7amsLzgSBOH3AOoV/un/kyTpyUQ/R5KkbQC2AUBnZ6ekUfLyFsPEJqbQKl4lzDtUiJornWivKwk7l7S9rgTNlYnnfead3BVZtg97fGivK8Fv7liBgXHWibmA+YcoNbmWd9iWzgz25TIj1/JPNsXLu3wHKVQieYfvjH5Y9+aXRPKPFuMTREbDvEOUGvZ5CCi8trlW7WPmHypEWrWnsr7gSJKkj2c7DUbFMLHxFVrFS0TTTCYBK+fUoa26hHnfgGKV7RfWsk4kMpQ0j727oGkGTr7fq2GCCgvb0pnDvhxlUiJ5l+8gJYvvjD5Y9xoPxyeIUsO8Q0SkrpDa5mwfE6VOq/ZU1hccEWVbIVW8RHQe876x8fkSFYg0jr0DePSdFljeEuUn5l2i/MX8azx8pkSpYd4hIiKA9QFROrTIPyYN06M5QRCuEwThBIBLAfxGEIT/m+00EREREREREREREREREREREREVspyOcCRJ0q8B/Drb6SAiIiIiIiIiIiIiIiIiIiIiomk5HeGIiIiIiIgoY0wWCIKQ0p/GGc3ZTj0RERERERERERERUdbkdIQjIiIiIiKijBH9uPkHf0rpV3d+4TKNE0NERERERERERERElD8ESZKynQbNCYIwAKAn2+mIoxrAmWwnQkeF9H1z9buekSRpdawfSDDv5Nr3Y3riy7U05WN6YuYfDeqdXLsnqcj375Dv6Qdy8ztoUffk4veKlA9pBPIjnUzjeZmuezIpH56jmnxOO5Df6dcq7Vr1e7RMUzYZ4TsAxvge+fAdtKh78uF7RsrHNAP5mW6jptmoY26JYJr1YdQ0GzXvMD2x5Vp6gNxLk17j1bn2vfVQaN+Z3zca6x59MD2x5Vp6gDTyjyEXHOUDQRC6JEnqzHY69FJI39fo3zXXvh/TE1+upYnpyc00pCvfv0O+px8wxndQkg/fKx/SCORHOplGY8jne5TPaQfyO/25mPZcTFOyjPAdAGN8DyN8h0Tk4/fMxzQD+Zlupjl3rqUVplkfTHPuXCsRTE9suZYeIPfSpFd6cu1766HQvjO/rzGulQimJzamJ7500mTSOjFERERERERERERERERERERERGRcXHBEREREREREREREREREREREREQJ44Kj7NmW7QTorJC+r9G/a659P6YnvlxLE9MTLRfSkK58/w75nn7AGN9BST58r3xII5Af6WQajSGf71E+px3I7/TnYtpzMU3JMsJ3AIzxPYzwHRKRj98zH9MM5Ge6mebcuZZWmGZ9MM25c61EMD2x5Vp6gNxLk17pybXvrYdC+878vsa4ViKYntiYnvhSTpMgSZKWCSEiIiIiIiIiIiIiIiIiIiIiIgNjhCMiIiIiIiIiIiIiIiIiIiIiIkoYFxwREREREREREREREREREREREVHCuOCIiIiIiIiIiIiIiIiIiIiIiIgSZsgFR6tXr5YA8A//8E/4n7iYd/iHf1T/xMS8wz/8o/onLuYf/uEf1T8xMe/wD/+o/omL+Yd/+Ef1T0zMO/zDP6p/4mL+4R/+UfwTF/MO//CP6p+YmHf4h39U/8TF/MM//KP6R5EhFxydOXMm20kgykvMO0SpYd4hSh3zD1FqmHeIUsf8Q5Qa5h2i1DH/EKWGeYcoNcw7RKlj/iFKjiEXHBERERERERERERERERERERERUWZwwRERERERERERERERERERERERESWMC46IiIiIiIiIiIiIiIiIiIiIiChhXHBEREREREREREREREREREREREQJs2Q7AaQ/UZRwfNCN/lEv6krtaK1ywmQSsp0sIiJdsSwkNXw38h+fIRERUWysK4nyF/Ov8fCZEqWGeYcoNcw7REQk06JO4IKjAiOKEvYcOoU7H38N3ikRdqsJD960BKs76tmgIKKCwbKQ1PDdyH98hkRERLGxriTKX8y/xsNnSpQa5h2i1DDvEBGRTKs6gUeqFZjjg+7gSwMA3ikRdz7+Go4PurOcMiIi/bAsJDV8N/IfnyEREVFsrCuJ8hfzr/HwmRKlhnmHKDXMO0REJNOqTuCCowLTP+oNvjQy75SI02PeLKWIiEh/LAtJDd+N/MdnSEREFBvrSqL8xfxrPHymRKlh3iFKDfMOERHJtKoTuOCowNSV2mG3hj92u9WEWpc9SykiItIfy0JSw3cj//EZEhERxca6kih/Mf8aD58pUWqYd4hSw7xDREQyreoELjgqMK1VTjx405LgyyOfxdda5cxyyoiI9MOykNTw3ch/fIZERESxsa4kyl/Mv8bDZ0qUGuYdotQw7xARkUyrOsGSicRR7jKZBKzuqMfcjStwesyLWpcdrVVOmExCtpNGRKQbloWkhu9G/uMzJCIiio11JVH+Yv41Hj5TotQw7xClhnmHiIhkWtUJXHBUgEwmAW01JWirKcl2UoiIsoZlIanhu5H/+AyJiIhiY11JlL+Yf42Hz5QoNcw7RKlh3iEiIpkWdQKPVCMiIiIiIiIiIiIiIiIiIiIiooRlbcGRIAgzBEF4ThCEtwRBOCQIwiaFnxEEQdgqCMJRQRDeEARhaTbSSkRERERERERERERERERERERE07J5pJofwFclSXpFEAQXgAOCIPxOkqS3Qn7mkwDaz/25BMB/nPtfIiIiIiIiIiIiIiIiIiIiIiLKgqxFOJIkqU+SpFfO/f8xAIcBNEb82LUAtkvTXgJQLghCg85JJSIiIiIiIiIiIiIiIiIiIiKic7K24CiUIAitAC4C8HLEPzUCeD/kv08gelGS/BkbBEHoEgSha2BgICPpJDIi5h2i1DDvEKWO+YcoNcw7RKlj/iFKDfMOUeqYf4hSw7xDlBrmHaLUMf8QpS7rC44EQSgBsAvA30mSNJrq50iStE2SpE5Jkjpramq0SyCRwTHvEKWGeYcodcw/RKlh3iFKHfMPUWqYd4hSx/xDlBrmHaLUMO8QpY75hyh1WV1wJAiCFdOLjf5LkqRfKfzISQAzQv676dzfERERERERERERERERERERERFRFmRtwZEgCAKARwEcliTpQZUfewrALcK05QBGJEnq0y2RREREREREREREREREREREREQUxpLFa38YwHoABwVBeO3c3/0zgGYAkCTp+wB2A7gKwFEAHgC36p9MIiIiIiIiIiIiIiIiIiIiIiKSZW3BkSRJLwIQ4vyMBODL+qSIiIiIiIiIiIiIiIiIiIiIiIjiydqRakRERERERERERERERERERERElH+44IiIiIiIiIiIiIiIiIiIiIiIiBKWtSPVKLeJooTjg270j3pRV2pHa5UTJlPME/CIiPIKyznSAt8jY+HzJCIiokSwzUDZxPfPePhMiVLDvEOUGuYdIiKSaVEncMERRRFFCXsOncKdj78G75QIu9WEB29agtUd9Wx0EJEhsJwjLfA9MhY+TyIiIkoE2wyUTXz/jIfPlCg1zDtEqWHeISIimVZ1Ao9UoyjHB93BFwsAvFMi7nz8NRwfdGc5ZURE2mA5R1rge2QsfJ5ERESUCLYZKJv4/hkPnylRaph3iFLDvENERDKt6gQuOCpAoiihe2Ac+987g+6BcYiiFPbv/aPe4Isl806JOD3m1TOZREQZw3JOH/Hqm3zH98hY+Dy1YfR8T0REmZUP9QjbDJRNfP+Mh8+UKDXMO0SpYd4pDPnQr8pXvLdkJFrVCTxSrcAkEhqrrtQOu9UU9oLZrSbUuuzZSjYRkaZqXcrlXE0JyzmtFEJ4XtaXxsLnmb5CyPdERJQ5+VKPsM1A2cS+rPHwmRKlhnmHKDVsyxpfvvSr8hHvLRmNVnUCIxwVmERCY7VWOfHgTUtgt06/HnKB2VrlzEqaiYi0ZjYBm1a1h5Vzm1a1w8xaUTOFEJ6X9aWx8HmmrxDyPRERZU6+1CNsM1A2sS9rPHymRKlh3iFKDduyxpcv/ap8xHtLRqNVncAIRwUmVmistpoSAIDJJGB1Rz3mblyB02Ne1LrsaK1yZnx1pihKOD7oRv+oF3Wl+lyTiApT34gXvz3Yh2/esBgTk344iiz44fPv4aLmcrRWl2Q7eYaQSH2jhWzWHdmqLym+VN4LPs/06ZXviYgoN6XbLsuXeoRtBsqmvhEvtu/vwW2Xt0EQAEkCtu/vYV82A/Tqa3J8gig1zDtEqWFb1vj6R72ocNhw/dImCOce664DJ3KuX5WP8qXPSpQok0nAlfPqsHPDcvSNeNFQVoyOhtKk6wQuOCowiYbGMpkEtNWU6FZAMgwdEempocyOTy5swNd++XqwzNm0qh31pQwdqxU9wvPmQt2hd31J8aXzXvB5podhuYmICpcW7bJ8qkfYZqBsqSu1Y9jjwyPPHQ3+Xa7mk3ymZ1+T4xNEqWHeIUod27LG1lBmxy2XtuChvUdYPmosn/qsRIkQRQnPHu5Pu9/DAJMFJlfDJTIMHRHpKSAi2OAGpsuch/YeQUCM84uUMD3qG9YdpITvRfbkajuTiIgyT4v6l/UIUXzMJ/rQs0/B8Qmi1DDvEBEpY/mYOWyLk9Fo1e9hhKMCk6vhEhmGjoj0dHpMucwZGPfiwlqWOVrQo75h3UFK+F5kT662M4mIKPO0qH9ZjxDFx3yiDz37FByfIEoN8w4RkTKWj5nDtjgZjVb9Hi44KkC5GC6RYeiISE8sc/SR6fqGz5GU8L3IrlxsZxIRUeZpVf+yHiGKj/kk8/TsU7D/QpQa5h0iImUsHzOLbXEyEs3GcrROGFEqGIaOiPTEMscY+BxJCd8LIiIi/bH+JSIj0bNMY/lJlBrmHSIiZSwfiShRWpUXjHBEOYFh6IhITyxzjIHPkZTwvSAiItIf618iMhI9yzSWn0SpYd4hIlLG8pGIEqVVeZHVBUeCIPwYwBoApyVJWqDw7x8F8CSAY+f+6leSJH1DtwQWMFGUcHzQjf5RL+pK9amMGIaOiLJBkrKdAkqHUeuObNTD+STe/THqe0FERJTLCrH+ZZuNsoHvnT70LNMKsfwk48pGGcWxPSKKp9DaT2xbEFGy0mlPZTvC0U8BPAxge4yfeUGSpDX6JIeA6Yp3z6FTuPPx1+CdEoPhs1Z31Bu6AiaiwsFyjnIZ38/YeH+IiIgoF7BNQtnA946IcpmeZRTLQyJKFMsLIiJlWpWPpgymMS5Jkp4HMJTNNFC044Pu4IsFAN4pEXc+/hqOD7qznDIiIm2wnKNcxvczNt4fIiIiygVsk1A28L0jolymZxnF8pCIEsXygohImVblY1YXHCXoUkEQXhcE4beCIHSo/ZAgCBsEQegSBKFrYGBAz/QZTv+oN/hiybxTIk6PebOUIsok5h0qRFqUc8w7lCmFUA+nk38K4f4QqWHdQ5Q65h/SWqG0SZh3ckuhvHdGwfxDhUarMiqRvMPykCga6x1lLC8oEcw/VIi0Kh9zfcHRKwBaJElaDOB7AJ5Q+0FJkrZJktQpSVJnTU2NXukzpLpSO+zW8FfDbjWh1mXPUoook5h3qBBpUc4x71CmFEI9nE7+KYT7Q6SGdQ9R6ph/SGuF0iZh3skthfLeGQXzDxUarcqoRPIOy0OiaKx3lLG8oEQw/1Ah0qp8zOkFR5IkjUqSNH7u/+8GYBUEoTrLyTK81ionHrxpSfAFk8/ra61yZjllRETaYDlHuYzvZ2y8P0RERJQL2CahbOB7R0S5TM8yiuUhESWK5QURkTKtykdLJhKnFUEQ6gH0S5IkCYKwDNMLpAaznCzDM5kErO6ox9yNK3B6zItalx2tVU6YTEK2k0ZEpAmWc5TL+H7GxvtDREREuYBtEsoGvndElMv0LKNYHhJRolheEBEp06p8zOqCI0EQ/hvARwFUC4JwAsA9AKwAIEnS9wHcAOBLgiD4AUwA+JQkSVKWkltQTCYBbTUlaKspyXZSiIgyguUc5TK+n7Hx/hAREVEuYJuEsoHvHRHlMj3LKJaHRJQolhdERMq0KB+zuuBIkqRPx/n3hwE8rFNyKIQoSjg+6Eb/qBd1pVztS0TGw3JOP7zXpDe+c0RERPpj/UtERqJnmcbykyg1zDtERASwPiBKhxb5J6ePVKPsEEUJew6dwp2PvwbvlBg8r291Rz0LaCIyBJZz+uG9Jr3xnSMiItIf618iMhI9yzSWn0SpYd4hIiKA9QFROrTKP6YMppHy1PFBd/DFAgDvlIg7H38NxwfdCf2+KEroHhjH/vfOoHtgHKLIU/CIKLekW85R4ox6r1nXZUci992o7xwREZGekm3rsP4l0g/7IpmnZ5nG8lM/zDvGwrxDlDqWh2QkrA+IUqdV/mGEI4rSP+oNvlgy75SI02PeuOf3cSUpEeUDtXKufzR+OUfJSadOyVWs67Ij0ftuxHeOiIhIT6m0dVj/EumDfRF96FmmsfzUB/OO8XBsjyg1LA/JaNiWIkqdVu0pLjiiKHWldtitprAXzG41odZlj/u7kSvhKhw2vH1qFHarCa1VTp6bSUQ5wWGzoKWqGGsWNUI4VyQ9/fpJOGzm7CbMgNKpU3JJ6Dm2DpsFW/Ycjlr1PXfjCnZiMkhttX3kfY985xrK7LixswkeXwDdA+NsixAREcWRaJ0byihtPq2FtiHrSu1sh1DaUsmflLy6UrvimEEmyjQ9r1XImHeMh2N7RKk5PujGlj2HcdvlbcG8s2XPYcytd7E8pLykd1+UfTwyEofNoph/km1PccERRWmtcuLBm5ZErXBurXLG/d3QlXANZXasX96CrfuOcKU0EeUUURLxxStm4d5nDgXLp3vWdECSGD5Wa+nUKblCaefPxpXt2PFSD/pGvAC4a0IPie5WCX3nKhw23HJpCx7ay7YIERFRolLZIWqENp/WuHucMoE7uPXRXOHAHSvbcdcTbwbz7/1rF6C5wpHX1ypkzDvGw7E9otQMuidxc2dz2LzdxpXtGHJPsjykvKRnX5R9PDIaXyCAjSvbo+qEqYAY/5dDcMERRTGZBKzuqMfcjStwesyLWlfiKzRDV5Jev7Qp+IIC3DlCRLnDJAjBAQlguny695lD2LlheZZTZjzp1Cm5Qmkn5NZ9R3Db5W145LmjALiDXw+J7lYJfecGxibxNz/5M9siRERESUhlh6gR2nxaYzQNygRGE9NH77AnuAAImM6/dz3xJpY2V2ief/W8ViFj3jEeju0RpcZmNkXN223dd4R5h/KWnn1R9vHIaKqcRdjZ1RuMeidJwM6uXqxeUJ/U55gylD7KYaIooXtgHPvfO4PugXGIYvSqf5NJQFtNCZa3VaOtpiThglleSWq3miAIUN05km8SuWdElD88voBi+eTxBbKUImNLtU7RSrpluNpOSPO5VhR38OsjtI0BqN/30LC2bp/fMG0R0g7bdUREsSVa50bKVpsvtFx//f2z+MvxwZwo32NF0yBKVar5k5KjZ/5lWaEP5h396NXf4tgeUWqYd8iI9OqLst1GRtNa5cTm1fPw6IvdeHjfUTz6Yjc2r56XdBuZEY4KTKbDvYVFFRifxI9e6M77nSMMkUdkPLUlRYo722pKirKYKsqEdMtwUZTgD0iK78uqubW47MIq7uDXSSK7VSKf96ZVs7iLlcKwXUdEFF8+RStSO/p2Z1cvNq+el9XyndE0KFNsFgEbrmiDKAEmYfq/SVu1LuX8W1Oiff7V81qFLJ/qtnymZ3+LY3tEqWHeIUod221kRFr0LxnhqMCohXs7PuhO63NDdy4cH3SjtcqJD7VUGmLnSKbuGRFlz4Q/gE2r2sPKp02r2uH1F/ZODiNG/Ui3DD8+6MZdTx7ExpXh78uWdYuwsLE8a1GbClW83SqRz/vxrhNReT3TbREj5iMjYbuOiCgxqe4Q1bseVDv6ds2ixqyX74ymQZlwfNCN+555C4FzcxyiBNz3zFtsy2jMbILimIE5AyPpZhNw5ydmh13rzk/Mzsi1Cl22oy8XAj37WxzbI0oN805h4PhkZujZRiTSg1b9S0Y4yhGhx3/UlWZuh0WscG+pni8Za+eCEXaOZOKeEVF2fXB2Atv394SdS7p9fw8urCnBgsZspy47jBr1Y9A9GXzOALDrwAn0jXgTLsP7R73oGZzAjpfC35fGcnte3xejiqyz+0a82L6/B4/dugwSpIy3ReLlI73ae6SO7ToiosyR68Etew5jzaJGmE3Ah1oqcWlbFSyWzIzAqpXr8hHv2SzfCy2aBts5+hh0T+LmzmZs3XckLKrXkHuSbRkNyf2IyDGDi5rL0Vqt7X0eGJ9Eud2Cb9+wGG6fH06bBZ7JKZwZn9T8WkSZpmd/i2N7RKk5Maycd9qqnVjQWJ7t5JEGjDrOH4tefRE924hEehh0T+Jzl83EoMcHUQLMAvC5y2Ym3b/kgqMcoGfhn4mQ3mo7F+ZuXIG2mpLgn3zFMOhExlNdUoRhjw+PPHc0+Hd2qwlVJbYspiq74pXl+UgUJXxw1otHX+yOOmIj0TJcrgP6RrzB98VuNWHdUo5e5SKlOnvY40ONq0iX9zhWPmqtchZcZz8XsV1HRJQ5xwfd2LLncNRiiC3rFuHqRRdkpL5TK9clKTfKdzmaRr62pxNViJMa2WIzm4L5Czgf1WvnhuVZTpmx1JXaFccMMlGmFFvNGPRM4etPvxXMP5tWtWO+1az5tYgyTc/+Fsf2iFLTUFasmHfqyzguYhRGHOePRe85dr3aiER6KLaa4ZkKYNvz3WF9EXuSfREG+coBeoQalcPnDbonsWXdIk1DesfauaCXTIYHZBh0IuORJOWQ5SjgyKK5UJZr7figG5t3vRE1GH/ftQsTLsOV6oAHrlsIkwD4/SJD0+aYdOvs0PbEe6fHcfxMcs83Vj7iUV65ge06IqLM6R/1Ys2ixqjFEJt3vaFY32nRj2+ucESNcWxc2Y5n3jjJ8l1HbOfox+MLoMJhw5c/Ngu3r5z+U+GwwePjMSha0rPN6J4M4Od/6cVtl7fh9pWz8PkVbfj5X3rhnuQzpfyjZ97h2B5RajoaSnH/2gVheef+tQvQ0VCW5ZSRVow4zh+LvPEltC21Zc/hjPRFOK5IRqNVX4QRjnJApkONRq7ubKkqxrb1nbCaBdXQcsmEn0tn54IWYe4yvXq10MKgExUCj8+PepcN29ZfjCH3FCqdVpx1T2Jiyp/tpGVNrkT90DL8qVr9ajULCX+mXAfMuWMFDp8axbv9Y/jW/30HjeVF+PLH2vHq+2chSsDTr5/E5tXzuIs7y9Kps5XaE5tWtWP7/h4Me3wJtS1i5aNMtveycYRJvh6bwnYdEVHm1JXaYTYhofoutN6tcNhwY2cTZte6MK+hFDOrY5fLoXWQPyBhx/5juO3yNphNwNLmCpQXW7B6QT3Ldx31j3pR4bDh+qVNYUcZ88hS7dWX2nHLpS14aO+RsDZrfSl3VWvJZBJw5bw67NywHH0jXjSUFaOjoTQjZYovEMCXP3IhHEVWuCf9cNotaC6/EFMBLjii/GSzCNhwRRtECTAJ0/+dCRzbI0qNxWLC2sWNaK8twakRL+rL7OhoKMvYEcikv1qXHZ0tZbjlsjZMTPrhKLLgsT91o6bEmO1FPY8c5rgiGY3Pr01fhAuOckCmJ3kjd5r1DE5gw44u7FYJn5fsAh55RWfkz8db0anVQiE9wgMWShh0okJR4bDhxFkvvrbjQLD8uefqDrQVF27Y5VTLci1pvYBUrX6tS3Iw3mQSIAjA3//idXinRDSU2XHd0hn40n+9EtaJ2bLnMObWu1hXZFmqdbZSe+KhvUdw2+VteOS5owm1LeLlo0y097JxhEm+H5vCdh0RUWa0VjnxoZbKhOo7ud6tcNiwfnlL2OBwrDpFqQ7auLIdO17qQd+IF3arSXWsgzKnoYyLYPQy5p0K3mfgfJv1wxdWZTllxiKKEp493K9Le7faacOJYS/+/pevh41PVDkLd3yC8tfxQTdu/9mrUe2ATNTNHNsjSp3FYsLiGRVYPCPbKaFMsFqAGzub8bWQtsW913TAatAVAXofOcxxRTISuT0V2RcpT7I9xSWrOSDTIdiSDZ+XaChsOfz5y8cGMafOhT2bVuDnGy7B7o0rEuqAaxVyu9DCAxJR+sYm/bj36UNh5c+9Tx/C2GTh7oKSV+fv3phcWa4lLY9iEEUJJgF44LqFmtSvoXXN9UubcN8zb0V1YtYsamTdkyNSOaJFrT0h79JPpG0RKx9lqr2XjSNMeGwKEREpMZkEXNpWldAx7nK9e/3SpqjB4Vh1ilIdtHXfEfz1Jc348semw38PjE/yqFudBUQoLoIJiHF+kZL2wYhym7VvhP0QLenZ3h3zBpTHJ7yMcET5R89xeo7tkRFpceQwKSuke3vq7CTueSq8fLznqUM4dXYyyynLDI8voFj38Mhhovi0ak9ldT2jIAg/BrAGwGlJkhYo/LsA4CEAVwHwAPisJEmv6JvKzMt0CLZkIyglcuSHFjvbtTpaJFeOASKi/DHk9imWP0NuX5ZSlBuyvTpfq3oh8oiODVe0YXadC/Pq4x/RoSa0rhEE5aNCzCaw7skBqbZR1NoTknT+/yfyfNXyUabae5k+mjdXrklERPnBYjHh6kUXYGFjWcz6Tq531dpVanWKWh1UX2rHXU++Ce+UiB+90J1XkfeM4PSY8nMZGPfiwlq2DbR0QXmxYpu1oYz9EC3p2d49Mz6peK0zbmNOCpKx6TlOz7E9Mpp8jyadywrt3p5xF1bbQqtTDogKkVbtqWxHOPopgNUx/v2TANrP/dkA4D90SFNWyJNTy9uq0VZTomkll+yOerlwDhXZMdBip08i10lEpiNEEZHx1KuUP2yEZpdW9UJoHdU34sXWvUfx9794HYKAhOvXyF0vzRWOqLomMp2dLZWse3JArDZKrN1MSu2JTava8atXTmjWtshEe0+rfJPr1yQiovyRSH0n17tmQbldpVanqNVBvcMezSORFNIu6HSxbaAfV5EFm1a1R7VZXXZrllNmLHq+03VlKuMTzD+Uh/Qcp2+qcCjmncbyYs2vRaQHPaPrFVo7t9AidTeWq5SPZcYsHzlHTJQ6reZKsxrhSJKk5wVBaI3xI9cC2C5JkgTgJUEQygVBaJAkqU+fFBpDsjvq5cI5crVvaOGsttOnfzTxnT6JXAeYbvwcH3Sjf9SLutLotGc6QhQRGY/JBPzL1R34l3OhAu1WE/7l6g6Ys70Mt0ColeuJ1gvxpLsbVW3Xy5Xz6rB74woMuSfRXluCzbveCP77lnWLcFlbFeueHBCrjfL2qTHV3Uxye2L+phXoH52Ee9KPalcRPtRagUpnUc62LbTKN7l+TSIiMpZgvdvgQkuVE//864MJ1SlKddD9axfiO8++E/ZzoW2/eGMKSgptF3S62DbQz6lRL357sA/fvGExJib9cBRZ8MPn38OSGeWYyUiTmtHznTYJyuMTJo5PUB7Sc5x+Xp0L37h2Ab5+LsKh3WrCN65dgPn1pZpfi0gPekXXK8R2bv+oFxUOG65f2gTh3FfcdeCEYSN1dzSU4v61C3DXE2+G9JkWoOOCsmwnLSM4R0yUOq3mSrO64CgBjQDeD/nvE+f+LmrBkSAIGzAdBQnNzc26JC6fJHNMTiKFs8NmUQxR57CZk0pTvOsk2vjJ9jFA+Yx5hwqR1WyCSZDw7RsWw+3zw2mzwOObgjWJWpR5JzXxynUtOgfphvBW2/Wye+OKYF2zVJTiHhVC6jKZf9Sev8Nmxq0//UvUc5177rnK3uqLXpS0tLkyZ59vNjrV7MhnD+seotQx/+Qek0lAa3UJmiudWDKjPKE6RakOMgnAsCc83Lfc9kt1QkWtPRjZbigEieQdtg3047Jb8MmFDfjaL18PvtPTEY5yfYg3v2j1TieSf7QYnyDKJVqM0yeSdz4YnQAkMSrvfDA6gdbqwqqryRi0OJIwkbxTiO3chjI7brm0BQ/tPRLWfqo36GkHFosJaxc3or22BKdGvKgvs6OjoQwWi3HbFnrVPURGo1VfxDC9UUmStgHYBgCdnZ3Gjv+ng3iFsy8QwMaV7di673wFvXFlO6YCouLPp3qdQmz86I15hwqRxxfA1596K6oDt+NzyxL+DOad1MQr17XoHKS7GzWRHUVc6JqeTOYftefvC4hxn2u+tjuy8T4yD2QH6x6i1DH/5K5k65TInxdFSbXtl2rdrtcO83yQaN5h20AfHl8gOFkGTL+XD+09gs6WiiynzHi0eKcTyT9ajE8QGU0iead/dFIx7zx26zIuOKK8pEV0vcTyTuG1cwMiFNtPV86vz3LKMsdiMWHxjAosnpHtlOQPjhlQIdKqL5LrC45OAggtDpvO/V3BSyUkuJaqnEXY2dWL2y5vgyAAkgTs7OrF6gXaVtCF2Pghoswbn/QrhlEdn/RnN2EFQI9yPdEIemr1qBY7iih71J5/75AbG1fNgnws/a4DJzDs8YU9V7Y7iIiIsifVcY5Ybb9U63a2BylXsS9rPHym/z97Zx7eVnnl/+/VvliS5d2xIyfGzubYWTAhUJyZJkBTGtawtHRCS8N4Or+GpGTaMu2wlGXohDJpCaFLKKVASwltWtY0U0hogRKWACELWew4sXGwHVu2JWtf7v39odxrXem9lmRfLZbfz/P0KZGle9+7vOec95zznkOhjA93gDx3PAE6dyiTk0xVjJyKdu6ZEXJLtX6XD+eUUX8fJTWyHZ+nUOTE5Q8RfSaprkVyPeHoRQDrGIZ5FsD5ABwcx8W1U5tqjFUSHIAg6CotOoTZiDJNVeglEpgzio24feXctPcyn4rGD4VCST8zi424pWUmfvx/xwQZ9t0vzJZdhk1W0mk0Z1quc4S9CKEQi1cO9eD2HQeIrTXk2FFESQ+kdxMA8X2NrXzwSc8Itr3RISqdXF9eIHquZSZqd1AoFAqFkk6k7Mzxtj7j4XU/X9Xo3ZN2lJt1mFaoS5hwTILag5RcZWaxETd/bgY2v3pceDc3XjKLvptpIBRicbjHgR6HD5UWPRoqzWlpRUKfKSXfyFQglvr2KPlIJipGzig24pdrFmPEG4bbH4JRp4JJp8zruTPVWqpNRTKleya6bqVQco2aIiOaayy46cJaeP0hGLQqPPl2B2xFqemErCYcMQzzewD/DKCEYZhuAHcDUAMAx3G/ALATwGUA2gF4ANycnZHmFlIlwWff2oJjfSPY+Nx+WA2aOAWarNBLRmBmKtt6qjj5aEYshZJZQmFOcEgAETn64/87hmV1pVkeWfZJt9GcCbmeKDH37Q67kGwEkNu6jVfHUXmePkjPdeuNixAIcQnfV5Lt9PDuNrxya4vwPZblcNLuwoYV9XH2U6bsDvr+UCgUCiWfGctGk6OtKen49181Hy/sP41Ou1cy4ViK2eUm/Oyri2HUqlBu0sJWRPUyJfuEWU5ITAEic2Xzq8exfHZZlkeWX4RCLJ7/+DTueP6QSJ5ctaBK9qSjkMQz/Tx9ppRJSCYDsdS3R6GMD5blcMYZwJ0vjOq4+66cD5bl8tbWnYot1aYSmdQ9Jwek4/O0WhZlMjK9UI/rm2vwvT9+LMyfe6+Yj+mF+pSOk9WEI47jvpLg7xyAb2VoOJMGqZLgXYOjgu6axdVxCjRZZ12yjr5MZFtnKrEpm9CMWAol85y0u4ly9KTdjfoKU5ZGlRvIEewZi0zI9bGuAQD2dQ4mbK0xHh1H5Xl6IT3XA90OoWoR/xnpfZWynaJLJ5+yu7HumY9gNWiElrEKBphXacrI86PvD4VCoVDynbFsNDnampKOf8fzh7D2olo8+no7MeGYhJROTnWHH4WSDrqGPMS58umQB3XlU3stKyeHP3MIyUbAqDypLy3AAptV1nOdGiD7J04NuFFPnyllkpFun1I01LdHoYyPw585hGQjIDJv7nzhEGaVya/jcoUzI4n9gpTJSyZ1T+cgWfd0Dbrpu0SZlBzpdeKuF8U64a4XD2F2eWo6Qf46sJS0w7ejiUanVsCgUQkvBMNA0lmXiLEcfdmAD/ourS0RKk/kE1LK8JTdneWRUSj5i06tIMrR2M+mIpnQAemW62NdQ5/TB5YD8flPtG0WlefphfRcWS45e0fKdop+5vzxexw+PPp6O7buaceW3e3odWbG/qHvD4VCoVDynbFstGR09XiPzzDif/e7xtbtVCdTchmjRiXpE6TIx2mHlyhPTju8sp9Lyj+hpf4JyiQkk3EF6tujUMZHJnVcriDHWoOSu2RS91BbnJJvyKUTqPU1CeHb0fBCjd9tV27WigTdeBVoPilfluXQ0e/C3hMD6Oh3gWW5jPw2FXItwYtCmQoUaFXYsKJeJEc3rKhHATUM80IHSF2DXq1EmUmHlz4+jfXLxc9/0+qmCbfNGq88z5S+meyQnquSSc7esVkN2LS6Kc52in7mmX73Y5+73e2n9gCFQqFQ8pqxdK2UnyMV+0zq+Bwn/nci3S5l0/WlmIRMbTxKOig3a4lr2XKzNssjyy9KCrREeVJilP8+G7UqbLxkluiZbrxkFvVPUCYlmVxXU98ehTI+MqnjcgU51hqTjam0Fsmk7qG2OCXfkEsnUOtrEiLVjgYANl+/EBuf248dH3Rjw4p6oa1aKgqUV76x5cNnFBvBshxO2d3oc0bOq1QAPY7IbsTxtMSJPt54jzHWscfbmiSTbU14ZRjt0JxswX0KZbJRYtKgyqpH67JasFykbVKVVY8SsybbQ8s6Y+mAXCVWl9ishrhrWL+8Huuf/Qh3rpqH21fOxaZdR7D2olooFUBzTREurC0GAHT0u4g6KRl9NR55TttoJQ/p3WystiR8X1mWw1+P9GHzq8fGfOZlJh223rgI6575KOG7P1H7hfTcN61uQk2xHp320d0DuWwPpNOGo1AoFEp+MpadmWzbXZL+ASJViexuPzatbsLtOw4Ix7//qvl4ZE8bgOQDC7xNZzVocM3iajBMJMmZP38y+m4q2nihEIvDPQ70OHyotOjRUGmGSkX3OcrNNLOeuJadZtZne2h5RblZi7svb8A9Lx0W5vDdlzeg3CJ/MKm4QINKi070TCstOhSbqH+CMvnIpE+J+vYolPFRYdHi3isacNeLozru3isaUFGYvwkTCgWDS+eWY3vr0rO2qg4NlZa8tcun2lokk7rHVmREfXmBSPfUlxfQ9tuUSUu5mawTUl33MByXf1mNzc3N3L59+7I9jKzAO9/OjESU5rA7iB7nqAJN1tkTfZzohKZYJbVhRT2e2tuJIU8gZYWVbqXX0e/CZVvejAv87kyib+dEfpsqGVT+CQ82lecOZWpx8PQQ1j3zEVY1VYFhAI4DXj5wGltvXITGKmJf0jHnT77NHZIOyNXFiJQMvXRuOQ73OLD76BmEWeDN42fQMqsMSgVw6bxy6NUq9LvG1nG8LB7rb9H3ZTzyPJP6JktMWPdEBxYrLTqEWcQ9u7HeV6l7vGtDCz7pGYl7XvMqTeh1jh3onKjelhrTtjXNaH16X847A6aa4yKLTCndQ6HICF33yEC6EksnYmdK6R+NihEShmuK9bjvykaolYyQiN415EnpfCzL4a+f9OLkgFu0iWvjJbNw6bxyzChJbKNNYhtvXLonFGLx/Menccfzh0TJXlctqKJJRzJz4NMh3Pps/Fr2kS8vQtN04lqWMg5YlsOb7Wcw4g3DHQjBqFHBpFeipa5MSoaMW/ccPD2E637xTpy8+MM3l0r5JyiUnCZFXT+huZOib49CyTfGZbe19Y3glqfej5s7v7rpPNSXm9I22Gwy1fxYHf0u3Pyb94RnDAAvfXwaT3x9Sa6vRcZNpnTPOM5FoeQ0csVKaYWjSYrUzjGFgkFtaQFmFBsnpED540Qrn45+l3A8IFJS/OHdbVh7US0efb0dG5/bjzkpOM9O2d1xx0v1GGMxVmubRMefyG9TJdmdnBQKRT4+G/YhEBpNuGUYIBDi0DPsR2NVFgeWI5B0gFzIHbyS0iU717fAEwhjy+52VFp0WLO0Blv2RAJG297oiNOJJB23adcRVBXqhGMm0lfjkeeZ1DeTkWQcAizLQcEADBicsrvBccDMktH7Lt0WxS/57iytLZEckxz2i9SY1EoGOyeBPZBuG45CoVAo2SWdDvmJ2JlS+qd1Wa3wWafdi9an94kSe1I9n0LBoMiowbe3i8+1+dXjONdmBcu5iBWWoj+bajbe4c8cQrIRELnWO54/hPrSAiyw0aCvnHzmkFjLOvxomp7FgeUZCgWDz9WWxvle02GbfzbsE1VUA4AdH3RT/wRl0pJOn1I01LdHoYyPU3Y3Ou1ePPp6e9zn+ZpwNNX8WHa3Hzc02wRfOF/9f9Dtz8vrjSYTNVYypecolEwglz1FE45kJFOtJZLZOZYOBSrlMOMXw6k6z9LtgJtIq7JMtzmjCopCySxmnQo3XVAj2rG8YUU9TDpltoeW16QjeDWWLuFl+TWLq4UFFv/3WJ0Ye5xKiw43NNtww7Z3cEtLLfEcnQSdn6o8p201xyaRPcOyHPYc60NbnyuujSz/XkndY3cgNC47RA77RWpM5WZdztkDJPt2qgVRKRQKZaqRqw55Kf3DxjiVx9JJyfptXP54O8Fq0OCk3YOvPv6uZIUl/rPZ5aYpZeOddniJz+a0w4sFoAlHclJUoCauZQuN1MUrJ3xb5kxUQqD+icxB20LnF3TuUCjjQ69WEu1UvTp/585U82NplIo4X/iWPW3Y3ro0yyNLD1OtghWFIidy2VO0rrFM8ALtsi1v4iuPvYvLtryJXYd7wcZ6vmTgcA9559jhHofwnbEU6Hjhg2PR6NQKIWM0VeeZ1PHkcsDxfTv5c6TSt3Miv6VQKLmPSqEQFCgwWrFNqaBqMZ1IBa9O2d3jPuZYuoSX5UoFEurE2OPEJimRzvHRp8MT1vlU34xNInvmlN2NA92OuPkc/V5J3eOaIuO47BA57JfJ8tyl7NsyU3ptOAqFQqFkl3T4E+RASgfH+pCldFIqfhuSnXBdczXueP5gnM1xoNsR95lSgUmh6+WipEBLfDYlRm2WRpS/aBVK4lpWp8zfIGE2SMfaVQrqn8gMmfTdUzIDnTsUyvgwaVXYsKJeZKduWFGPAm3+Ji9L+bFKC/LTj+UJhInrOU8gnKURpZdM2m0USr4hlz1FrS+ZyKRA63GQnX+9DunAKTDxQBApOLZhRT3+9GH3uJxn6Q628a1tdq5vwbOt52Pn+paUWsqN97exsCyHjn4X9p4YQEe/iy5kKZQcYMgTIMrRYU8wSyOa3CQr59IRvBpLl/CyfMWc8oQ6MfY40UlKOz7oxvrl8QvxP+zrFq5hvDpfTn2TjySyZ/qcPrDc2All0ff4j99ciu2tS2E1qMcdCJTDfpksz13Kvp1qQVQKhUKZSrAsB4NGlZOJpVI6uKnakpROSsVvM7Mk/lyzykxJV1jqdfomha6Xi3KzFndf3iC6X3df3oByC004kptBibXsoCeQpRHlJ5lMvBz2BInnclD/hKzQYGT+QX17FMr4CLAsDGolWpfVYt3yOrQuq4VBrUSQZRP/eJKiVICYZKXM0wi5lD+13JyfCVaZ3jBDY76UfEIueyp/U1YzTCZL8lVa9MSShxWW+MBpbAm5iQSC+ODYnPUtODPiQ2mBDkoFsMhWKFSSUCiYpMvTKhQMLp1bju2tS8/2Q9ehodIiqwNuIq3K5GhzRkv5USi5SZFRQ5SjRQZ1Fkc1OUkk56J1Ah+8krO1RKxuitZH/N8bqywJdWLscfRqFV7YfxqrmqrAMAAHDhsvrkd9uQkGjQrf3r4fPVGJvhPR+bStpjSJ7Jlysw5KBgnfK4WCwYxiI472joiOtfXGRXjl1hb0u+LfHSl7JtE7lyy5+tyjr1vBMLAaNHHvOh9Eneg9oFAoFEpuwdt1m3Ydwfrl9UK1x2wnlkbrpnmVpjjdDQA7o3SSzWog6vBU/DYkfc9xZJtDqsJSrur6dFBlMaDIOIKHrl0AdyAEo0YFtYpBlcWQ7aHlHVJrKoOGunjlJJOtryXPZaYJe3Iy1drpTAWob49CGR/FRi1+/fZJwecZZoFfv30ST3x9SbaHljZ6HD48tbcTay+qjfh5OeCpvZ1YZCvEjJL80wE2qwH3XzVf6JSjUytw/1XzYbPmp22eSbuNxnwp+YbVQLanrCnaU3Q1KhNyCrRECTsNlWaismiotAjfkSsYFgvJYRatkFMRtpnsh54tpHbPzFnfQhezFEoWseiVuPeK+bjrxVE5eu8V82Ex0DL0qTKWnJtRbBTphJpifZz+SjV4JaUjxwrmJKsTo48TCrG4dXl9nK5tqStF15AHQzE7iHNh138+kujZzSg2orHagg0r6kV9hknvFeldXffMR9i5vgVLa0tE301kz2QqgJhsErec54u97g0r6vHU3k4h6WgqBlEpFAplqhCtK59+J+KQVyqAFXPK0FhVmNF1Oq8D7W4/Phv24fYdB8b0G/A6aSwdnqrfJlbXsSxHTITWqBjhuNlOzsoWXUMePLDzyGiyPge8fOA06stM1FaQmcpCLe65ogF3v3hYeOfuuaIBlYU0OUVO0rGRUwprgYronygqoEkTcpLJYCQlM1DfHoUyPmYUG3H7yrkZ0XG5QrlZhyFPAI++3i58ls86oGvIg0f2tIkSrB7Z04bFNmte2ubVFj3uvXI+7nohSh9cOR/VFr3s56IxX0q+UVGoJdpTFSmuLxMmHDEMswQAx3Hc+wzDzAOwEsBRjuN2jm/o+YlcC9FkEnZUKgWuWlCF+rIC9Dp8qDhbGUilEpfIy0YgKBVhO5kE83gDfnT3DIWSmwy6w3j0b2Kj+9G/teHHqxdke2iTjkQlS6PlfKfdi0f2tGF761J4g+GUk2EnsoMgVZ3YNeQRko34a7rj+UNYbLPG6fyaYj3uu7IRfc7INdNKL/Iy1rNTKBgsn12OutICLLZZ4QmEYCsyYmZJ/DNIRSfngo2SjR0zpOt+eHcbHrp2Af575xEMeQJ574SiUCiUqUy0ruxx+ASH/IXnFGc82YjXgWsvqsXjb3UkrZOldHhV61J4AmE8tqYZd7xwEJ12b8p+G6lEaEBcYWkq2oJ9Th867V5REAcA9X2kgUFXED/7W7toLfuzv7Vjdvki2IqyPbr8IV0bOUn0DPmJ/okZxQsw3Urnj1xMtWoPUwHq26NQxkcmdVyuMNV0wFSzzY/0OfHo6zH64PU2zC4vwILpVlnPJeVf7nPm572l5D+DI0GiPTW7fBFSmT5jJhwxDHM3gC8CUDEM8yqA8wG8DuA/GYZZxHHcf0/gGvIKuZR0sgEulUqBBdOtWDBd/PtM74SPZSxhy/+dH9dkScaZSMCP7p6hUHITu9tPNLrtbn+WRjR5GUvOkeR8p90LbzAcV1EmGaJ1ZKVFh2sWV+NorxNVhXo0VsnbkjORjuJ1/qDbj9PDPrQ+vU/QEQ9c3YjFtkLYivJ7sZ4rKBQMZpQUJCyBzL+rVoMG1yyuBsMASgaoIPQvzwUbJRtJT1LXffzMCL77hdlJvdfZtkUpFAqFMn7StX5NVTdE60CGQUo6WUqX7T56Blt2t0OnVuDB1U2YVqhDkVGbsp6SSoSe6lX/qO8jc/Q4yAGkXqdP4heUicJx6T2+3R0gPtPBmKq6lIkx1ao9ZJNQiMXhHgd6HD5UWvRoqDTHbZSWA+rbo+QjmfappFvH5QpTTQeUm3WoKdYL1UcB4KWPT+etbS6VYNXnlF8fSLc3ptX1KJOTvhGJ+TOS2vxJVOHoWgALAWgB9AKo5jjOyTDMQwDeBTDlE45IBsBEFNREAly50DtSyskUDHO4bMubonHNqzSJvltp0eG65mp4AmF09LtSrnqRLkMsNuBnNWhwtNcJnVqBGcXGMc+VyRLMFAoleUoLtESju6SAlqFPlRnFRmy9cREOdDvAcoBZq8S8Kgv6nD4YNCrUFOvRafcK368p1kOvVmLviYGU5TWvIystOqxZWoMteyIttLa90SGbvuP1iYJhxgya8MEmAPiXx98TJYX84M8H0bqsFnMqzHnVJjRXIdkAAOI+49/Vtj6XqP3a7AozqgsN6BryCN+vtGQ2aEa6hmwkPUnZcWEW+MGfD2Ln+paEyUbZtkUpFAqFMn5i7TolAzRWWya0fh2PbojVgcno5EQ2XPjsP31BFt/bcQCv3Bpp/0uTZOUhHe8OhUxxgYa4li0yarI7sDwjk3ZtmUlLlFvUPyEvU63aQ7YIhVj85XAP2s64wHLAkR4nugbd+GJDpexJRyXUt0fJMzKle1iWw5ttZzDiC8PtD8HuDuDTQTda6svy1haeajrAZjXg1uX1U6aiU7GRbEulwz4OhMO49/J5MGjVcPtDMOpU8PiCCIbZxD+mUHKQYgl7qjjF+ZMo4SjEcVwYgIdhmBMcxzkBgOM4L8MwU372pMMAmMiusLF2wifjSJMjaYeUYPPA1Y042uPALS212PFBN3ocPmx8bj9eubVF+K7VoMFNF9SIAoDJ3st0G2LRzs7YIHeic03F8pQUymQgEA7jm8vqcM/Lh4W5fPeqBgTD4WwPbVISCHHY9kaHIMtveXKfaDHzyJ42dNq9qCnW49bl9bhh2zuwGjS4rrkas8pMmFtpJrbAioXXkdcsrhbkMJBc5ZexdFz030JhDne8cBCBEIcNK+rj9JLNakBHv0s4jlRSCMshZ9uE5hMkG+CnNyyEJxDGD/58ME5XzywuwLpnPhK9O5t2HUEwzOL2HQdE39964yLhuxNJGE5kX0nZMbPLTeO2Ccc7NpvVEGfHrV9ej6ff6Uwq2SmTVZloJSUKhUJJD7xdF62TJsJ4dEN0VUKdSoH7rpyPIbcfgTCHQJjFeTVFImd5tC61GjRxNhyvy3h8QRY9Dg+O9Y2k5EfgdY/d7YdGqYAnEKY6iJJxQhJr2RBdy8rKyQE3fv3WCTx47QJ4/SEYtCr8+q0TmF1uwjll8tq1YZbD+uX1Il/j+uX1YKdK2YkMQSuxZYZjfU70OHwiW2LjJbNwrM+JhqpCWc8lJQ+pb48yWTlld2PTriNCFR4A2LTrCOZUmGT1qXTZXeh1+nH3i6Nz554rGtBld2FGqUm28+QSU63iT9eQR0g2AiLrnzueP5S3FZ1YkG0pDvLbUmUmLbqHvDh+ZkTYaDGjxIhSE012pUxO/MEQ0Z7yh0IpHSdRwlGAYRgDx3EeAOfyHzIMYwEw5ROO0hFUmUhFHKmg56Dbj6O9YzvSkk3aSVQSNTrBJjKeMH740mF02r0iR1+Pw4d+l0/4bv+IH1974r1x3cuJJlolInpBOp4gt1TJdQqFkj1UCoWgQIHIXL7n5cN48ubzsjyyyUe0DL5mcbUQ3AFGFzPbW5fCGwxDr1YKyUapJG/y8DryaK8zpcovJB23iW+lYdDipN0lSixZv7weuw71AAAeunYBtGoFaksKML1Qj1cO9YgSUx5b00x0WnJcbrYJzTdINsAnPU7Bucl/tvG5/Zh9aws6B91x786qpirhmUZ//5VbW7BzggnDydhXUnbMrg0tSduE40m+kRrbpXPLsb11KXYfPYMwC8FuS8YZn0pVpokkDNFKShQKhZIe0uHjGK9u+M3Xz8OB0w5sfvW4kNS+9fV2otyPHnePw4en9naidVktqix6VBTqcNcLh9DjGG03pVMroFEqsfG5D5K+Vl73bNp1BDc020R27KbVTfjSfPkrN0wmugbdaOtziQLMG1bUo640cdtbSmqolEriWvapm5dkeWT5xYDLi9WLbfjeHz8WOd4HXF7ZE47UKgbb93WJ2rxs39eFC2qLZD3PVIdWoc8Mw94gNr96XCSjNr96HA3TmmU/l6Q8/AaVh5TJid3tj7Mz1y+vx6DbL6tv8cxIQEg2AiJz5+4XI7bEjFLZTpNTTLWKP9momp5NivQaoi116bxy2c814g2hNyaxdsOKeox4U0vOoFByBYVErPQ3KcZKE3lDlp1NNgLHcdHSSQ3gaymdiQDDMCsZhjnGMEw7wzD/Sfj71xmG6WcYZv/Z/90y0XPKyVhCe7zwCTs717fg2dbzsXN9S9LBEz4xJhqdWgG1UkF0Gp6yu4XvSTkWo78TCrF4/uPTuGHbO/jmbz/EDdv24vmPTyMUEt8DPsHGoFHi33/3odBKxxdksWVPG65ZXC0ErfjvshxHvJfH+0bQ0e8Cy0pnoko9hz6nD7sO9+KyLW/iK4+9i8u2vIldh3vHPBYJfkGqUyvAMJD9mVMolMzj8IaIc9lBDcOUiZbBUjLSGwxjaW0JPIHwmMmb0TqHBK8jV8wpJ+o7qWQIko67fccB/O3YAL70yJto63PBatAIf9u+rws3LLHh4d1tWPf7j3Dr7z/Csb4RvNc1GJeYcscLB7FpdZMwHt4Z8KcPu6FTK6BXK1PWO5TkIdkALEd+D4/0OvHxp8Nx745SQf5+vyuyCF9aW4La0oJxJbIkY19J2TG9Tl9Cm5BlOZwacOH5/adTtnekxtY15EFjVSHmVJjx+FsdQrJRMs54KVuU1PZmIjZaMveVQqFQKKkjt4+DZTmEwty4dMPbHXYhYElKao+W+7Hj7nH4sGV3Oz4d9uJIjxNfPs8mstU2rKiHO0BeD0hdK697VjVVxdmxt+84gLc77FPa5utz+uOe0cO729Dn9Gd5ZPmH3RUgvrt2dyBLI8pPGIbseGcSutJTJ8xy+PJ5Njz+Vge27mnH42914Mvn2RCmFY5kZSI+d0ryjPjI+tXlk9/fNugmy8MhKg8pkxSNUhFnZ27Z0wa1Ul7dY5eYO3ZP/s6dzkFyxZ/OQU+WR5Yeykxk/1xpQX5WdPKGwkRbyheSv+LdsDdIXPcMe4Oyn4tCyQROiVhpqkl0Y2oqjuMEzwDDMEqGYaYxDGMDYADgSOlMMTAMowTwKIAvApgH4CsMw8wjfHU7x3ELz/7vVxM5p9wkG1SRIhRi8fGnQ9h1qAcffzosJO7wSTipBriiE2P4sWy+fqEQ4I0m1pEm5ViMTvg53OMgKuXDPeRXocdBPqZSgbigldS9PHjamTAIJfVbg0Y5oWAUy3Lo6Hfh3ZN2zKs04ZVbW9BSX0I8FwMmYWIUhULJHXRqBXEux35GSUysDB5LL/LfTTV5k5fHe08M4JTdjYZKM1HfSSVDxOq4SosOay+qhc2qxy0ttXj2/S5cs7ha+Puqpirc9/Incfrj9JA3btyddi+qCnV45dYWbL1xEVqX1eLpdzox5Alg/fJ6rH/2o3Elu1KSg2QDKBnye3i8bwTP7evG+uX1onfnXJuV+H0FM3Hdnkzgdix7ciybkA/M/umj00L7OP74ydg7Y41tvM54KVs0dm5ONGEoHUn/FAqFMlmItovkXoOm4uNIZhyn7G7c8cLBON27aXVTQt0QnUCcyHaUGjfHAU++3YlCvQqty2qxbnkdWpfVwqRTQaMirwek/Dm87pEay77OwTg9RrpH6Xx+2UQqgcsToBs65KakQEN8d0sKNFkaUX5yxuknyx2X/El0vU4/ntrbibUXReTU2otq8dTeTpqwlwbG63OnJI9ZryLKqAJdokYbqWPUkM9l0Mp/LgolE0jF8TwBeZMmTDry3DHl8dwhVTz3BVl0DebnxjWlAtiwQrwG27CiHjLnruUM3UNeoi11esgr+7k8kuse2s6TMjnRS8RKtSnGSpPSIAzD3ArgbgB9GG2lxgFoSulsYpYAaOc4ruPsOZ4FcCWATyZwzIwykVKsfLWg2BJ+Vy2okizDnaj1RHQ7s+j2H6fs7oQ9qqX6WB887cS3t+/H5usXQiVRAaDX4cOC6fHjrbToicdcVl+KxTaraOyke8m3X+ODULGlzaPvx2NrmnHHCweF1m2br1+IQJgdd9lAqfY7tiI9Nq1uErXT2bCiHt/evh9DngBt50GhTBJMWhU2rKgXstH5uZzPC6t0ES2/d3zQHXdfo/Ui/91jvU6ifigt0KGj3yXScwBE8rimWI/7rmxEoV6N7a0XIBgOo8iohc1qkNSR0Tqu0qKLa+e2fnk9FFGqV6rijeGsMyt23EVGLWpLCzCzxIjpVj0AiFpRTbQVCUUakv1QZNDgtotn4SevHRc+u3PVPGzd044ehw9Pv9MplNidU25Cn9OL71w6Gw/99ZhIHhz5zIlfv30St6+ci0vnlqNryJNy+y8p+yraBhuvPXnK7samXUfwnUvn4JaWWgDAjg+6hYTvRPZOorGNpyWslC0ae68mWto5mftKoVAo+Ui6W0omq5PGGgcAwSZTMAwCIU6kezkOqCrUJaUbomX9WHJ/RrERW29chAPdDrBcJPm42KjBz//eAY2KgUmvQU9U4D4c5vCTV4/Fre3H0r/RSU2ksYRZiPSY1D3SqBhRK9988SFMtxqI96U6T9tUZBMOLO67cj7ufGHUn3jflfPBgU38Y0rSlJu1xHe63KSV/VylBRoMeQJ49PV20bloEhllMlJp0hH9bZVm+ddqBVol8VxGjVL2c1EomaCsgKx7Sgvk1T0GjYI4dwx5vBG3QEv26RrzNBbQ4/DhLwd78OC1C+ANhGDQqPDYGyewyFaYl+2OKy16oi1VYUmD7tGR36UCLdU9lMlJgUyx0mS/vQHAbI7j7CmPVJoqAJ9G/bsbwPmE761mGGYZgOMAbuM47lPCd8AwTCuAVgCw2WwyDlOaZIMq0fBJMif6Xfh00AOrQSMEhu54/hDqywqwYLqV+LtkHHp8ECw6WJOM0zCZhJ/frT2fKEilhHZDpRn3XzU/LqmqaZqFGBTm7+XxvhEcPO0UArVAfBBKKiGoqlCHIqM26UQrKaTa76y9qBYvHziNbWuaEWZZfPTpMJ7aOzrOyRhUzsbcoVCyjVqlwLRCHVqX1YLlAAUDTCvUQS2R8EmCzp0IsbqwwqzDpfMq0O+K14v8d+dVmlBTbBSqsvB66aTdJQrAbL1xEUqNWkEeV1p0uKHZhtan94l+t7Dair8e6ZMMvkXrOFI7ty172vDQtQsARPTE3EozUX/0DHuwfnm9KFnpwdVNUDDA3hMDKDfrEAiz2LK7XXSPUkmk4EmUZDzZkWv+RL9/fU4fgmEOd75wEIEQh9ZltbBZDeh1+jDiC2LobGnoHocPj77eDp1agbUX1eLxtzrw8JcXCfKA44Cn9kaqVK29qBYbn9uPbWua4967VCr+jGWDjceeBAC7248bmm347h8/FiVWjfiC+P17XQntHZvVkFKgNVn4RCXeFnv3pH3MJECeVBKGJpL0P9mhuodCGT/5MH+kKsTJtQZNVidJjWP2rS041jciShS/a9U8tJ1xIRBmseODbgx5Ali9uEp0PJblYNAosX5FHVgukkAbncieKKkdAAIhDtve6BDZaI98ZSHUSgVu2PZOnM5Ze1Etqgp12DnGtUbbY2UmHbbeuAj3vfwJ7lw1T6iGyftOtu/rEl2X1D1qXVabtueXLpKZO/5gGBsvmSW0wdOpFdh4ySz4g3Snr9yoFEqwLCtay7IsC5WCBjnkRKtW4J4rGnD3i4eFd/qeKxpSroqczPzRKBX47hdm48f/N7oB4rtfmA1NvpYhoOQ1CiWDCovY31Zh0UGpTM2fkczcUSoYVMacq9KigyqPfCeUqYU3FCYGfVNpC5XcmocRKoDyc6dQrwKQv3NHp1Lg7ssbcM9Lo3r97ssboEshFjCZqLTo8MXGSnwvyme4YUU9KtKQ/JkLzC034d4r5+OuqIT8e6+cj7nl5pSOk8z8sRrU+OHlDfhh1Lv0w8sbYDWqJ3wdFEo24BCpfBetE0w6FVKtxZxswtGnmGALtXHyEoDfcxznZxjm3wA8CWA56Yscx20DsA0AmpubM1aTOpXd36QkGT6ph086kqoWFOussho0ONrrhEmnxKA7GBcsig6CJeM0TCbhhwVHTCBqqLQQr1elUuCqBVWoLytAr8OHCosOc8vNeO3YGcmgMH8fv719/5hBKKmEoJ1RjjpSMGrT6ibY3X7h71LBPKmd9wwTaZ/T+vQ+/Oyri2UJKidLuoLP2Zo7FEo2cXqDeOXAaXx16UwMu4MoNKrxu3dO4usX1iZ9DDp3RiHpwnPKyHJQoWAwo6QAtiIjFk4vFPSSggG+9sR7WHtRLbQqBerL+WvwBQABAABJREFUC+DwBnGg2yHIY1Ky0Mbn9mN769Ixg2+xOo4k332hMNYtr8Pi6YX46WvH4xKL7r9qPgoNatz38idYe1EtlApgycwi+IJhrHz4TZGeqSnWo9M+WrI11cor6a5ekAvIOX+i3z+W5fDE15cItsz/vnocPQ4fKi26uGcanVg97A7E6XRgtIXLvs7BcQUHE9lgsbp9yYzipJ+xRqmImw/3vfwJWpfV4tbl9bCNUVGAZTn89UgfNr96THifm2uKcGFt/PnHY38keocTJQyNt6pnvsyPsaC6h0IZP/kwfyZaIY4ESeYm8nFIjaNr0B2XKH5blKzfsKIe9eUFokQhKT/J9n1dmFlixMvrLsKA2z9mUjvJX9Le70KBTgWjRiVs9Ioeq1IBoUol6VqldNmjNy7G/q4hbL1xMQ50DyPMAtv3dWHjJbNF1yV1j2I7qKXThyAXycydriEPnvjHKVElqyf+cQrVVj3mVxdmcrh5jy8Yxs/+fgKrmqrAMJH2gz/7+wn86OrGbA8trzDr1FAqgIeuXQB3IASjRgVfKASTLrVgUjLzxxUIotKsE51LwUQ+p1AmG70OP3762nFBRoVZ4KevHceDqxegpjh5XZfM3PEEQ/jtO6dw04W18PpDMGhVePLtDnznC3PkuRgKJcNEt4Xi7amn9naitsSI+VWFSR0jmbkz7A1AyTCYVWaC2x+CUaeCxxeEwxeQ7VpyDac/hF/8vV10b3/x93b8d57aT2EWePb9LuF6gci/L51Xkd2BpYluhxevffIZfrnmXAx7gig0RGI9zTXWlNZZycwfFaPEHz/oilSPitI959oWyHMxFEqG6XcFEA6LX/dwmMOAOzWdkGzCUQeAvzEM8woAoQ41x3GbUzqbmNMAolNrqs9+JhBTUelXAB6cwPmyDilJZsueNqy9qFbYaS9VLSjaWRXdDibMRnbmJwqCJZMYlSjhp9ioxaJqq5BAVGXVQ6dS4v3OQVEwKNZh2VhViAXTI1qto9+VcEdmbBCKb5/T5/QJf0/G0SpV9SC67ZpUhSipnfccN3ouo0QZxnS085gKwWcKJZP4w2G01Jfjg86hSNuFAaClvhyBMC1Dnyli9dL7p+y4odkmSgjZsKIeBo1SkLV88kc0viCLPqcft7TUokCrRCjMwReKfGfQ7RfpBP6/SbK7a9CDrXva8chXFuH4GRf6o1p/KBigYZoJGqUKd1/eAKNWhXKTFmEW+NIjb8Ylv5Kq4SRTeYXXn/0j/rRWL8hnpGyZHocP2/d14bdrz8cbbf2ilnc6tQIGCZ3OcaNtUqJJJTgoZYNNVLd7AmHJQOYdzx/CYpv0ojraJuXLDevUCuxc3yJUJuKrOcRWHpMaI//+2t1+MGBwtNeJW1pqhTZvUkmAsQlDUveF1NYu1ZZvFAqFMtmRu6XkeHWR1DgMGtWYieIP727DK7e2iI4t5Sd58NoF+NFfjuDOVfMws7gAPQ5xci7LckIrXm9wVCeS2uduWFEvqkysUyvQXFM0pn1GGtemXUfw49UL0DsSgMMXgl6thDsQxqqmqrg2ceVmHWqK9ULAFQBe+vg0Ym9rvrQELSnQSrSEkr/91FTHHw7jlotq0e/yCy0Eb7molq5lZSbMAnc8fzhOzr1ya4vs5zJq1DjS44qrENZsia+AT6HkOu5ACIHQaNCKYSJVCD2BkOzn8gbDuHJhNdrPjAjy8MqF1fDR6nqUSUqm2kJZ9Rp0D3rR7RgRtSMu1OdvK0+PP4ROu1d0byOf56e8GPT48a1/OgcGrVpIKrMVnoMhjx9A/vnR7G4/Fk4vxr89/YFoE0t0bEAuPnN4cMk8cfWo2y6ehc8cHtRXmGQ9F4WSCawGNR7Y+YloQ8uv3z6JH1+bWhJdsglHXWf/pzn7Pzl4H0A9wzAzEUk0+jKAG6O/wDBMJcdxPWf/eQWAIzKdOyuMVTUnUbWgaIdetONOKvg6kR1yY+06VygYLJhuRWOVdDBorLY2qSYKDbr9OD3siwvczi43JeVojQ48XrZFHBTe+Nx+zNvQgk96RojXIdVijj9XuUmbsXYe6S6dT6FMNcxaNVx+l6jtwnj6klLkg1St5eHdbVj3+TqhMg1AThY69JkDOz7oxk0X1GDr6+3CM60vK8BilhMFf6R0nEbFQKdW4LE3Tggldvlk4B9f24SOfi/+4w/i35SaNESdplYyY7bnIBEd8LulpVZ23T7VID3n21fOxcLqQpyJSuji5/5jb5yIK1vNV1fYtLoJm189Jjq+HMHBier2sZKjE70vUvbYoNuPo70jcfcnugUwaYz8+7tp15G4xMHoap6x9h4pYUgqwBsMs2NW9KRQKJSpgNwtJceri6TGUW7WJkwU73f5RJUwpXTS8b4RBEIc2vriE19j/Q4bVtQR/SX8sR7e3YbWZbXYsrtdqEhJquoXTey4+IpNNz3xnkjHSbWJs1kNuHV5fVyF6FKTRhhrPrUENemUxDYVJh1t8yU3dC2bGc6MkGVTrAyTA08gLCQb8efZ/Opx/OqmZlnPQ6FkgpnFRtx0QU1cS6h06DoqDyn5RkOlOaUOI+MlEGbhDoTj5k4+Jy+b9RqiD82sz882WAVaJcJg8J2opJjIJtr8tM1JcYUte9qwvXWp7OfSqZX4yWtiu+0nrx3HkzefJ/u5KJRMEAiFiP78QCi1ZPGkrC+O4+4Z1yjHPmaIYZh1AP4PgBLArzmOO8wwzL0A9nEc9yKA9QzDXAEgBGAQwNflHkcmkQoMnT+zCJfMLUNDpQUqiZ6h0Q69WMed3FV2kmlTIeWYTNTWJtkdmdGJQv/y+Htxx9u1oSUlR6uUE7PPSa4isXN9C7E6El8JYfP1C2ErMsJWZMxIO490lM6nUKYy3rOBh9hABHXoZQ+pai2+EIsdH3Rj7UW1MGuVuO/K+bgzqh8zv2P9msXVcc/09h0H0Fhliav4R9JxAIQkoUqLDtv/dSl6nZF2oEaNCqu2vkXUeSSdVm7WpVx5JVavZqqCXr4yli0T/XlpQaSd3/QiAz4b8mDd5+sAAOfWWKFSMlg5vwI2qwFqpUL2BOOJ6nZSsJdP7kn0vkjZY9HXyY/n4d2j1Tilxsi/v2svqiUu8NdeFKnImcw7TLovq5qqhGQj/rg08ZpCoUxF5G4pOV5dNJY9xesmIDl7ZqwEWpJ9R/I7PLevW0gclkp0WjS9EM+2np/0PYsdFymRacueSCLTnApznF3QNeQRgkX89+94/hBeubUl5cT0ycCwJ4Tfv9sZaS0QCEGvUeFXb5zAjOK52R5a3kHXsplB7opyY+EOhIhyK1+rLlDyG5YDUUalo40PlYeUfEOlUuCqBVVCh5EKi27MmOF4CYa5KTd3KszauI2GG1bUo8Kcn9U4R7xhYSMAEHnG97x0GE/dvCTLI0sPUnEFT0B+W2rYGySey+GVv5IfhZIJtCoV0dfx9DdSkxdjJhwxDPNTjuO+zTDMSwDi+hVyHHdFSmeL//1OADtjPrsr6r+/D+D7EzlHLiG1C/Bz55QkdDBFO/T6XX786s1I9vGOD7qFyg9jBcFi25xJtT+LdXZxxC6V0o5Jfvd77Oe8wzLVHZl9Th+sBg2uWVwtlCHf8UE3ep2+lBytsY6CSosO1zVXw+72jzle/n8sy+GJry8hnisT7Twy6eigUKYCI74QUbaM+KhhmC2k5JyCibTDevytDmxa3YSn954UWp3NLjfhgZ1H0OPwSQaXjveNAIBIbkdXVonVg3ybjulWDqazn9vdAZH+4N8bdyCELV9ehMOfOfDcvsju9s3XL4TNahBafJB0K4lovZqsbqeMDamCjpTdU3O2jZiUTSFncJdnorqdtw1n39qCI71OHO8bwdPvdArv4Yxio+T1StljUgt0JupSdWoFDGol9p4YEI7Jv7+x85CfL7YiPR5b0wyb1TCu+6JUJF/RM5FtS6FQKJOdZNqlJ4tU26+xdJGU7cQTXa24vqwgrjpdrD0zVgLt6nOrk/I79Dh8eGpvJ568eQnAQPCX8PDt3kpN2qT1woxiI7beuAgHuh1gOcBm1UsmMrXUlcbpHimfyZDHjyKjVtLXMlkpN+vg8AVxrHdEeJccviDKzdRnITcjPnJyCl3LyovcFeXGwqBWEmWxXiNvgJlCyQSZrA5GfXuUfESlUmDBdCsWTE/fOSQTXdOQnJEr2IqMqC8vQOuyWrAcoGCA+vIC2Iry09c64PYT5eOA25/dgaUJKR9rOtYiBVoV8Vz5Wj2Kkv/0u8jyot+VmrxIVOHo6bP//1DKI6TEMdHdiLxjMXrR2+PwYc/RXjzx9fPg8AZRadGjodIsOmZ0m5boRTKp/dmm1U2YVqiDL8DijhcOotPuJbatkBLglRKflxboxnUPKi06YhnWCrMuJUdr9D2zGjTCMW9pqU2p4lK2dtFn0tFBoUwFphXqcPPnZghly3VqBTZeMguVMvfEpiQPSc7ddvEsMOCw9cZFmFthRk2RuNLM/VfOw39dNhdufwiVhZGAWafdKxxTp1bg4Gknvr19P7H9UrL6kW/TYTVosGZpjZAI9Ks3IwGx5/efxne/MBuLbYWoLjSM2VpUimi92uPw4el3OtG6rBaLpheipthIkyZkQOp5889mLD2fDjtADt2uUDA4p6wAM0uMmFdpxoXnFIuqTEhdLxBJ2PvZVxfDqFWh3KSFrSiSdCWV+Mf/94YV9dj/6TB+/vcOIbmJb3XLf8cXZFFp0YnmS7JzgXRfzqspSspeS/SMo79Hk5IoFApFuu2XVIIoy3LYc6xPSMJRMkBjtQXLZ5cTE7sXsxwaqyxjrv2jfQSx1YWVDLlKUqUl3u/At8f1BMJ4bE2zyJ+xYUU9vr19v6C3km3JGQhxQquJ6LZt0WOxFRmJtt+8yvg28DXFepwe9glVnPOpRWiq7xJl/JSZtcTklFJTfu7QzyYaFSMKTGpU6ZmnRQUa/L9/rsPdL462JLznigZYjZq0nI9CSSdlprFjA3JCfXsUyviYZtET52mFJX9tCYWCwfLZ5agtKci7SqMkbEUGonzMV9s8k/HTCpOOXC2LFoegTFKmWfREeTHNok/pOAyX5LYqhmH0AGwcxx0bx3gzSnNzM7dv376MnzfV4MVEgh38bwfdfpwe9sXtGox2WHX0u3DZljfjDIjtrUtxw7Z34j7n217wuwr5NmI7o9pWSAV0GqaZsPNgb5yw/eL8CswoST1Id+KMC196JH7sr9zakvKuCP6e9Y/48bUn3ptQMCwb8OOPLVmfwjuU8IKyNXcolEzzYecgbvzVu3Gy5ZlbzsfimiLST8acP5Nt7mRSX413XAaNEsEwiyKjeCc6/x2nN4C2M25Re7V7rmjAz/7WLgSXxtJjQLx+5KvfNVZZcOh0pGpRj8MnJL96g6P9zXmi9ebO9S0AQNS5secmXXsyiRKTkJzRPVL2UKJnk05Iuj2V5x0KsTjc4zj7nkaSzvlS2x39Ltz8m/figlFP3rwEn/SMSCYixb6HD65uQq/DC6c/DI4D/vRhpJoX32ZNp1Zg14YWfNIzgk27jgg9n/l5MZ77HXtfbNbkEvmSecaTbK7lle6hUDJI1nRPLic0ksZ2yu5OSTeeGnDhL4fkW++PNc4zIz5UmHVEnRWbHF5TrI9Ldnng6kYUG9X4pGcET+2N2IOJri8akp0YuxmKTyxa+TDZZ3GsTzz2bWua0fr0vpyyRQiMS/fkop2Vr3zy2TAOnXbirqjklHuvaMD8KjPmTSvM9vDyho5+F773x/246cJaeP0hGLQqPPl2Bx68dqHUOz1u3fPBqUF89fF4/8Tv1p6Pc2cQ/RMUSs5yasCFv37SFxe0unReuZStMO65Mw7fHoWS86S4nhiX3Xay34VXj8TP00vmlmMmtdvygqkoH1P0sY5b9xw6PYwPO4cw4A4ISeklRg0W11gxv6pwYhdBoWSB/V2D+PJj8fLi2X89HwttycdKE1U4ivySYS5HpMqRBsBMhmEWArh3oi3V8olUgxcTDXbwuwYBCLvjgEjpw43P7cecKKdOqu3P+HYYfLDo0dfb49pWSFUqevekHU/t7RTa3XAc8NTeTiyyFQqLilSMJjnLsPL3LPp+8FUk1l5Ui6YqM+rLTTnlFI4mtrrCJAuYUSg5RZ+T3E6xbyQ/y4pGk2l9lQrJVJHhv/Pxp0NCshEQeX53v3gYv117PgZcfhw87RSSjfi/x7ZfitYHlRYdvrmsFnZPAB93O6BkgG8uq8Uv3ugQ2nTcffm8MfXmmREfOC751k+x15WOtl2UUaTsoUTPJp1MpHJSKMTi+Y9Px1USuGpBFVQqBexuv5D8E92ixu4KCPMZiLcdVzZUYN6GFvQ5/XAHQijQqvCjvxwV5hIPn8TkC7KjrW4rTBh0+7G9dWnCNrup3pdk5kcyz/iU3T3m9VMoFMp4yeX1mdTYSk2alGR1n9MvJNzw3314dxsW26xjJhyl4gOI1QG2IiNR/kfrBb1aKdpM5Quy+MGfD6J1WS10KnFp+2R1UaxOiW7bxoET+UCkfBaxuisXbRG5yOdryzXsrqCQbARE7vNdLx7GY2uaszyy/MLhDWD1Yhu+98ePBbl596oGOL0B2c91ZoTsnziTYhsDSmJyOTE4X+h3+aFVKkTVwbRKBQZcftmSk3kkfXtOOncok5NMrSd6HD488Y9TohjeE/84hcYqS14nHE0lHSBpW+Rx7CNTXWq6h7z4+d87hPZTYRb4+d878MPL59GEI8qkpE9SXqS27kkq4QjADwEsAfA3AOA4bj/DMDNTOlOek2rwYjzBDpJCTMapI9n+TKJ0Il/0ig+i8p8n02as3KzDkCeAR19vFx2T/22qRpPU2GPHkgqxx+xx+ITKFJPJEUYDZhTK+DHpyL12Tdpk1eLkJRP6Kh3E6kCpZAa7y49Z5SZ8e/v+hLojWh/cdEENPFEVjPgd+zddUINNu45hyBMYU29GH3+8eivb7TvznXTYFNnkcI9DSDYCIu//Hc8fQqVFh0qLHlqlQkg24v++ZU8bHv9ac0LbMbaaxIYV9XHVIXh7kb+Hse+vSeeS9X4nMz+SecY0IEqhUNJFrthMqYxte+vSlGS1OxAiylBPICT8O9ZmS7ZKnRRS8j/6870nBojjYjmINlIlur5oSDplyBNAqUkb5wORuoekseeTLRJNJlvoTHVcfvI8dEfNQ8rECbPAPS+LE7vueTmywUVuCiT8EwVTwD+RSXI5MTif0CgV+NGuo3Hv8/bWpbKfS3Lu6OjcoUxOMrWe0KoUxBieWqmQ7Ry5xlTTAQaNkigfDRrlGL+iJEOlRU+cPxW0nSdlkmLQkO0pfYryIlkNEuQ4zhHzWXK92KYIYwUvWJZDR78Le08MoKPfBZblxvw+CV4hXrblTXzlsXdx2ZY3setwL8oKtNCpxY8x1qnD96/kvye0P6s0x32+fnk9/vRht/BvPoiabL/LGcVGbL1xEdavqMO65XXYsKIOW29cJGr/RTKaTtndkscjjX0ivTfTccxskOo7RKFQRuFLxUbLgeh/5zOpyo5ckDXROnDjcx/j+f2nAQAbVtShMsqY5437WDlfU6zHtjXN6HP6BD0MiPVBtdVA3LFfbTVAp1Zg0+omzC03EfXmywdO4/6r5sNmNeSNjslH0vlsSLZeupFKutvbMYjLtryJrkEv8e+Bs46VaKKDnScH4m21h3e34brmauG7d1/egDePnxnzHmZjLiRzTj4wHE2+BHspFEp2yQWbSQqpsXkC4ZRkdU2RkShDdWolTpyJ6MF/tA/g5t+8J/gt3u6wp+QD4ElFt0rJdr7yJB87SdW3kcy9SfS96OtQMMhbO1GpADasqBdd24YV9cjjuFXWKDVpiO97sVGTpRHlJ0PuAGaVFWDLVxZh0zWNeOQrizCrrABDbvkrHGnVDHH+aFX5FwDNJqn6pCnjw+0LE+eO2x+W/VxGjZLo2zPSgDplktIr4efpc8q7nnD4Arj38nnYenaebr1xEe69fB5GfPLruFyB5Ova+Nx+nBzITx1QoFURbYsCTf4mZGbKN9tQacb9V80X3dv7r5qPhkpLWs5HoaQbuWKlyUqXwwzD3AhAyTBMPYD1AN5O6Ux5jtSutgqzjpg5O7fClNLuL6lF0R+/eQE2rKgXgqQkp85YbVr4z/ucPgTDHO584SB6HD4huFpVqMPqxVUplRcMhDhRhYjN1y8U/pbqrvJ0tJjJl7Y1+VapgULJJIFQGKUFWlGJ59ICLQIh+R0guUaqsiMXZA2vA60GDdYsrRG1iOIrrwx5AoJxHy3nB91+nB72ofXpfcQdLPz3jp8ZIeonAFh7US02v3oMaqUCl84tx/bWpXizbQC2YiM+G/ZgVVMVHtkTaSfCt6Sa7DomH0mX/s/WLqmxKm75gizazowQ/64+O2+ibUc+2MmyHI70OIlzocqix7rldeA44Bd/b8eDqxeg1KSVvIfZsLeSOScfGI59XvkQ7KVQKNklF2wmKaTGVm7W4fyZxUnL6pklRmxa3YTbdxwQZOj3V87BwdMObH71feGz9cvrhda2+zoHU64sl6puJcl2fgw6tQIr5pThwnOKU9JFyeqxsb5Huo6tNy7CK7e2oN+VX3Yi33IuujXHU3s7sXB6oewtdKY6pSYt7rmiAXefbaumUytwzxUNKDNrsz20vKLcrMVXzq8Rt1S7vAHlabjPRo0KJp1K5J8w6VQw5nFQMBvQSqeZwaxXEeeOKQ1Vh/yhENG35w/Rim+UyYlWpSD7cWTO4K606NDnDOA7MfM0nyu0dA66iTqga9CNc8ryTwfoNZFNudHyscKig16bn7sBMumbVakUuGpBFerLCtDr8KHCokNDpQUqVX7eW0r+E5SIlQZTjJUma+ndCuC/APgBPAPg/wDcl9KZ8hyp4EWYBTFR6LnWpQkThaKRWhR1D3lFTh2jRokwy+Fo7whYDoLzKpky5CzL4YmvL5lQUChR2cfxOGHT0WImH9rW0IAZhTJ+lAolvv/ng3Gy6Mmbl2RxVJkhVdmRC7KG14HXLK6OaxH18O42PHZTM8w6lci45+U8APzL4+9J6iX+e3xFv9h3otPuFkqkbnxuP3aub4EnEMZDfz0OILJIv2ZxNS5fUIV+l1/QnZNdx+Qr6Xg22Wqhw++o4duqRQdXAeC5fd144OpG/OCsrOOTyf/rzwcRCHGC7ahggHmVJigUDDr6XZKJSl1DXlG5YA5cwutTKBhBVvA78jKRdDTWM86XxHMKhZJ75ILNNJ6xpaIbFQoG0wp1oqSSEX8IW19vF+nB6DZmrISNNZYPIFXdysv22be24EivE8f7RvD0O5GE9M3XL0RjVeG45HyiexPbPm7JjGLReUjXse6Zj7BzfQuW1pakPJ5cxqBREVsL0LYN8jPdasTpIg+2rTkXQ+4grEY1VMrI5xT58ATDuOelmJZqLx3Gb24+T/ZzzS4zo6PfjTMjfuEzi16N2eVm2c81lcnlxOB8YiQQIs6dJ9Iwd1QSvr2nv5H/vj1KfuLwBbB+eb1oo+X65fWyVx7yBzniPH32X+VvfZgrGCVaBhnyNLnX5Q9DCQ7NNVbBXhx2+9NSbS4XyLRvVqVSYMF0KxZMl/3QFErGkStWmqw0/RLHcf+FSNIRAIBhmOsA/CGls+UxUsGLd0/ayZmzQ14wDLDu83XwhVhh99ciWyFsRUaR02pGsVFyURTdL7LSosOapTWCsy/VLE45gnCJdovI6YSNde5NtmDRRMdPA2YUyvixu/1EWTXo9kv8In9IVXbkgqzhdSDDgPjc1EoGC6Zbhc+i5as3GB7zWfMyuKbIEKefbrt4Fn7z9inR786M+ITxxFZc+tWbHUS9S5L3ACa1DpvMyG0/ZGunrGhHjdOPw585hGoSADDkCWBWeQGevHkJPIEQbEVGDHr86LR7AQB/+rAb1yyuBgugb8QPW5ERfU4fntvXHefgunPVPGzdIw4gJnLMsyyHkwNuHOlxou3MCJ7b1y0EftNd/SkRNCmQQqGkg1ywmeQYWyI9WWzU4vG3OgTdt255HVEPMmd/8tLHp+OqIm1a3QSb1SA53vHoVoWCwTllBZhZYsS8SnPKFY1SJZldtKlcx2T3bwTCYWKALBhmE/+YkjJuP4uDpx1gOUA5AMyvoi0c5MbuChDnr90lf7sZlUqBS2aXo8KsQ6/TjwqzFo10p7zs5HJicD4xKDF3BtMwd/pdZN9evyv/fXuU/KTYqMOeo+148NoF8PpDMGhVePLtDnyurkHW8/RK2Khyt27LJcrNWvzgi3Mw4A5E7CcGKDZq0lK5MBcoLdDio65hfO9Po5sUN14yC01R/vN8os/pg9WgwTWLq4V16I4PumkVQwolCeSKlSabcPR9xCcXkT6b0pCCF1KJQhwHeANhFBk0+N27HUIbM6kWbJfOLcfWGxfhQLdDUIiN1RY0VJqFxRKp8kMmdthHk2i3iFxO2EyUyEuHwy/6mKEwhzteOIhOu3fc489kwGyyO0AplGikZFXpFNnZlqrsyHZwnncMHut1JmxHGgqxeLvDjn2dg2A5oECjjPtNTbEep4d9QuUjnVqBB65uxKLphdi1oQW9Th/0aiXWP/uRkLzBn4vXW5uvX4ijvc6EeleqlUYgxBF1fdeQJ2fkbD7K/XTYD3LulJW651Kf8ztqGlkOYZbDkCcgnP/+q+bjW898iE67FzXFetx3ZSPCLIsNK+rw+tEzWDm/Mi5Zbna5CUOeAJ5+p1NUAam2xCg69qbVTbCfXXREvxdj2Tl89aVM26YUCoWSScZjM2VK3yYzNik9GW2jlJl02HrjIqx75iP4giyUDLmCEV898vaVc3Hx7DJYDRrs6xxEmIXQqlZK/05Et451neO511K/SWYXbbLXka32rHJSbNRi/6d2/HLNuRh2B1FoVON375zEyvkV2R5a3nFqwIWTA25se6NDFEA6NeBCbZkp28PLG6qsBuL8rSrUy36uUIjFXz7pFXYW69QK/OjqRlzeNI0mHclILicG5xPlZq2E7pM/qF9uolWrKPnF3HITrj9P3JLw3ivnY67MFe8qLXri3Kkw5+/cmWbWQ69RYdtfjgr39r4r52OaWX69nguEWeB374769oDIv1fMKc/uwNJEpUWHmy6oiesolM/vNIUiF3LFSsdMOGIY5osALgNQxTDMlqg/mQHQZrhjwDul7G5/3G6+DSvq8cDOIxjyBLBhRb0gCEkt2KwGDY72OqFXK6BVKvHC/tOiBJXoxdLxvpGkds+l06GZzG6R2DZu4xnLyQGyc2/2rS2y9FyNdfjxgTq1kkGZSQelAuhxpDZmkhORD771OHw5HYDLBwcohRKNAiDualDS1zlrJKoCNLvchIZpJtQUG0UtojasqMdJuwszSyLff+VQj0jnfn/lHGy8ZBY2v3o8akHZiNan94l0yA/+fBCty2pxTmkBvjS/EgoFg9tXzo3TA/xun0vnlscZYvyxjveNAIjoRFIw6kC3QwgQ8J9tfG4/tq1pFsZFkrOZTADKV7mfjhK7UraPzWpAR78r6ecVmyz30sencfvKubh0bjn+eqRPdPxNq5swrVCHYqNWOG6085xPmOu0e1Fp0eGGZpvo3bpz1Txse+NE3H3YtaFFuJZHX28XruXc6VZsb12KPqcfGpUCd794SLBHN61uEubMWHZOdHsdOXYY5WNCHIVCyQ3yQd+O9xqk9GSsjfLg6iZsvLgeTn8YOrUSt108Cz95bdTW+tHVTZhZosfqxVWYUWzEyQG3yPYCMOb6PZUqFMlea6r3mmU5dA268WHXsMj25H+TTPWiZK8jW+1Z5aTaosfF86bh357+QBQgq7bkZxAnm/Q6fcQA0vxpZppwJCNFRhXuuaIBd794WHin77miAUUFatnPdaTPgZ/uPi56pj/dfRx15UY0VuVnJYJsw3HZHkH+wjDA3Zc3CO2adGoF7r68AYo05M4xDEf07SkY+oApk5Nuhxd3vXBIZBPe9cIhNNdYZbUJLTolfnRNI04OuIW5M6PECIs+P9uLAcCRPifujLm3d75wCLPKC0RV8/MFu9uPG5ptcdVHBz1+nIPJsb5IhTALPPt+l8iWevb9Llw6j25+oFASoWTIsdJU9z0k0iCfAdgH4AoAH0R9PgLgttRONXUgJatsW9MMXzCMQ5858NTe0XYXD+9uw2M3NWPn+pa4Fmx8i7RYpUBKUOENjkRZ/ekOIKZaqn28Y+kcdBOde12DblkSjqIdfqRA3YYV9Xhqb2dKrUFITsTo4Fsm2q+Ml3xwgFIo0Qx6AvAGWdGu0NsunoUhr/wlnimJSaUK0Lk1hWhdVguWg9COdMgTwM71LQAgJBsBEVn1o11HsWFFPZ68eQk4cCgz6SQDRCwX+b3VoMFFdSWCPht0+3F62BeXDDS73ETUuwdPO/Ht7fux+fqFKDVp4s7FcuTWcPs6ByXlbKYTgPJV7qej/RnJ9rFZDXFJQomCmrHJcuuX12PTriOoKtTFPYvbdxzA2otq8fhb4jZ+vE2498SA0DqNVAHzvpc/EeyP6PvQ6/SNeS38OWPHYjVoUFWoT2jnMIw8O07zNSGOQqFkn3zQtxO5Bik9GWujfO+sHuL1SFOVWaj+GGaBn+4+httXzkVTtRUKBZPy+j1Zv0Iq15rKveaPe7TXSUwSn31rC0JhLqH/JdnryFZ7Vjk50uckBshm52kQJ5v4w2FiACkQou3r5KRn2I+f/a1dCFxxHPCzv7VjRvEC2IrknZcDI+SgoH2E+ifkhK4hMoPdFcDv3+2MtIQKhKDXqPCrN05g3fJ62c/l8AWJvj2nj+6Tp0xOMmUTdg56YHcFRHPnO5fORuegBzNK8zN5ucdBvrc9Dh8WTM/SoNIIA8T5ArfsacPT31iS3YGliUEP2ZYa8viBPEywolDkxO4mx0oHPamtRcbMT+I47mOO454EUAfg94gkHX0A4CWO44bGO/h8J9aR1Wn3ovXpfWAYYMvudlF7Fl+QRSjMora0AAoFI5SuAsgBoi172nDN4mrh32dGRo/F757jf0/aPSflZDtld8t2/XzAa2ltiXBd0bAsh45+F94/NYhNu45g7UW1WLe8Dre01GLTriNjjoX/rVqpEK6TR6dWwKCRJws72rgjPYeHd0eeQyr3T8pg5DNuc7nk61jGLoUyGTFoVMIubCDyPv/ktePQq/N3J0em4eX13hMD6Oh3gWWld5jFJnmu+3wdFGCI+qrX4ceW3e3Yuqcdj77eLiwYz4z4JGWVNxhGqUkr6KVoXcvDt/7wBVkc6B7GwdPDAIDa0gIUGbVxiUwbn9sPpQJxenf98nr86cNu4Tsagr7iW4/Enj8cEyOIlrOZ0N/R5Kvcl3r2yejfsd7pWNuna8iT0vM6ZXfHvWNb9rRhVVOVpFOEYeKPy4/RGwxjw4o6VFp0wvdif6+MWQXw7Qn5KhEVZh04DnijvR/Hep2wGjSSx9rXOSgZTI62cxQMJCtUpEKm5wOFQpk65IO+TfYaSHpNSk+SbJRoPdIyqwwbn9uPLbsj9lmn3YuNz+3Hh11DeP+UHTp16uv3RH6Fsa715ED880rlXp+yu7Fp1xHUl5lwS0vEX1Fp0Qm/6Rp040iPA3eumieyAzetborTcclcx0Tsk1xByl7pdUxu2zEX0alURF+hVq3M8sjyC3cghE67F4++Prr27LR74QnIn8igU5OfqYY+U1mha4jMUGTU4vgZF9b//iPcvuMg1v/+Ixw/40KRUSP7uXQqsm9Pq6JzhzI5yZRNqFEp8dBfj4nmzkN/PQZNHs+dYqOGeG+L0yCbcoEzI37y2sflz9KI0otGqcD2fV2iWPP2fV1Qxzo/ZSIQCGPfqUG8fOAzfHBqEIFAOC3noVAygVyx0mS/fSGApwCcQiQ5cjrDMF/jOO6NlM42RZByZJl1atEOuEqLDtc1V4PjgI5+F2YUG0Ult6WCOlIJKgoFg0vnlmN761L0OHyotOjQUGmBQsEIZcal2q5Ft39J566O6N0k3764nlzWz+2XbAEXCnO444WDuPnCGdiwoj6uJ2dpgTwGQllUD+hEzyHZLHOpPogcR04OyyWkxj6ZHKAUSjROX5A4r0d8wSyNaHzkakuhVHcO8nqz0qLD1y+cgZ+8dhy3tNQSn5EnEJKUR7w8jf1bc02RIF9ZloNSATxwdaOoPQZfQVCnVqC2tADvdthxetg3ZsuMHodP1Nb04GmnUIWQ/04gzGLbmmZRm6zGaktce41Nq5uw+dVjonNEy9lM73zPV7mfSouWaMb7Tkcz1vOS+r5SARQa1JL2A/+9PqcPM4qNcWPcsKIeLEeuwNBcUyR8zrfHOdrrxH/84WNYDZq43ufrl9dDoSDPsTALGLWqMe2cB65uxGJbIaoLDWPKrWTk2kTmQ67KTQqFkhvksr5NVn4lcw1Seu3SueVJ2yjRekSpIK+Z32jrh06lRIFWSVy/G7VK7D0xIKkPTg640TnohlGjQrlZC1uR+DtS13q8bwRnRsT3KZV7zbcg+O4fP46zFYc8AYBhsPm1NlgNGrQuq4XNakCv04eqQt24dMp47ZNcotKiJ97fCsvkth1zEYeXvJZ1eifXWjbXqbEaiO/0dKtB9nO5fCHiM3XTKi2ykg/V5CYDI/5AXKvV2y6eBZdffhk1Iunbo3OHMjmptuhx75XzhaqR6WpRK+UXd04yv3gq+EIh/PDyBvwwqt3jDy9vgD+Un/KizKQlr30KtFkcVfrwh1hyBdDYnTMyEAiE8fyBz+Lm6VVN06DR5G/SHiV/GZFYi7hStKeSTTjaDOBSjuOOAQDDMLMQqXh0bkpnmyJIObLKzVrBiUQK5PCBKz542e/y41dvdsQdRypBhWU5YvuOS+eWC5/f0lKbsP3LREvJjuUIjd5NUlVoEBx4wOgOnu2tS4lJRp12r6AoOA4wapRCWx0FE/m3JzixTFL+vMOegOAQ5e+RVKAv2QAsyYm4aXUTqgp1WL24KqcDXvngAKVQoikxko3uImN2jO7xBMBzuRx4qu1BeL15zeJqUTY16RnZiqTlUdegOy6Ydeeqeagp1gvJt2+2n4HHz+KzYS82X78AYZZD2xmXEEC6c9U8/PqtE7jpwlphzFJ6HYg8B/6avr19v+g7NcV6fDbsE7XJ2rS6Cf9cXwaFgolrW6VWKiTlbKYTgCa73JeaU6m0fo0mmXc6+pwGjQo1xXqhrRkw9vOSer5zK8xo7xvB+uX1okXznavmYeueduF7wXAkKBs7xod3t+F3a89H9WqD6D3cfP1CXFhbjJ3rW9Dn9CEY5nC0x4HNr0XOcc3iamEeAYDVoIEvFMZ0qwE/uX4h/mfXEZFdtn1fF647tyqhnQNgTLmVrFwb73zIZblJoVByg1zVt6nIr2SuQUqv7VzfQmytydsoVoMG1zVXY1aZCVUWHXZtaEHvWb0X3XqMP2eYjZTy37CiPm79Xm3V41vPfCjok0T6YMOKetSXF2D57HLhmqWu9UivE3/Y1y2MdW6lGTVFhqRtG41SQaw20rqsFueUFuCHLx4Sks+37G6HTq1A67Laca8lxmuf5BKzSwtw7xXzcdeLUY73K+Zjdp625cgmJQXktWxxngaQsoVSyWDjJbOw+dXRpImNl8yCSin/vCwu0JD9EzJtqqREyNdNNbmGSavBM+99ImpH+Mx7nfjf6xbKfi5JeZinFUso+c+RPieee3+0JaFBo8KTb3fI3qK2VGLulGTJL54JrAYt+px+PHTtArgDIRg1KvhCIRQa8vOajVolNq1uxIl+N1guUm2/ttQIozY/E2IUDENcv/127fmyn+vAZw5iK+naEiOaZxTJfj4KJd2UmMhrkeIU1yLJJhyp+WQjAOA47jjDMOqUzkSAYZiVAB4GoATwK47j/ifm71pEKiudC8AO4AaO405N9LzpRsppaCsywlZkjCQTjfjxtSfei3PwFd+8BKUmLWYUG2GzGnD/VfNxx/OjDpv/vroRtiI9rllUBaUCePekHWUmHZQKoM/pJzoNt7cuFT7f8UF3XNCK36mXKCCcDIkcoX1OH6wGDa5ZXA1vMEzMmguE2bhj8GPscfiwZU8b7rm8AT8929aMYYAwC/z87x344eXzML+qMKlx8kFB/v71u/xCYPiWllrs+KAbay+qRYFWiTtXzcN9L38icnY+tbczpQDsZHYiTuaxUygkVErg3isacNeLh6Mc4g3IRsXy8QbAU03qySSp7hzk9ebRXqfwO5K+2nz9QswsMWJmiZEoj3ocPjy1t1Pk2Nq6px3nlBpRU1yArkE3uod8Inl+28WzUKBR4raL69E56MW2N07ghmYb+p2jrdqWzCjGptVNooSN9cvr8Z9/OoCNl8zGgmoL7G6/6Ds1xXr8zzVNuPk374ue0e07DqCxyoLa0gLhf6EQi8M9DujUDH679nwEw2xc4plU0qrd7Rf+LqdMnsxyn2U57DnWhwPdDmFR3VhtEQKUfGuT2HdxrMS/RO80aR7ff9V8PLKnTRRIlbIXbFYD7rtyPu6M2h1z56p5+Pnf2rFsdplgk/DvtdsXRI/DJ7yLd75wEHdf3kAcY5BlcXnTNDRWWeKeJX8PLtvypqiqWHR1x0qLDmuW1ojm4v1XNWLEG8CAO4jt+7pw+8q5IjtX6p3p6HeNKbek5FpV61J4AmHhudisBjy4ugnfi0miSmSP5bLcpFAouUGmE26T1bepyK9kriGRXovVkysbKjBvQws+7BoWVYh84OpGnFtTiLYzrrik72g/gzsQxlN7O/HTGxaCAwe9Won1z34kJOaS9AHffp2vLPzs+124cmEVaktGxzaj2BhXtXLDinr85WBPnO7iN2PtHONe87aAVHuwRdMLUaBTiRKK+b/NKjfBZjWgo981oSp6nHQX4pzmWP8IXjvyGX655lwMe4IoNKjxu3dOYnaFvAEyCqDOobVsPtPj8OGJf5wS2eBP/OMUGqssmFEir93oD4WIzzSQp1UXssVk31QzWQiFWXz5PFtcVcMQK3+VCQVDlodp6qBDoaQdu9uP5XMq8L2YKpuDbnnbYDEMiNV+8nnuGNRK9I8E8PDuwyLZtHh6fhpQDm8QfU6/sCmET5wuM+VngtWZEfL6rX8Crcql6JVYS/c5aStpyuREo2CI9pQmxY0WySYcfcAwzK8A/Pbsv78KYF9KZ4qBYRglgEcBXAKgG8D7DMO8yHHcJ1FfWwtgiOO4OoZhvgxgE4AbJnLeTJDIaVhbWiDp4Hv35CB+9rd2bL5+IeZVmvDInjbR4nbL7uP49deW4FjfiLBAqinW4z9XzoU7EBISZaLbuUQ7y3ocPjz9TiQYO7fShCM9I3HtXyZSSjaRI7TSohMqO93SUovmGgtuurAWXn8IBm0kY1sTVeGBP8aWs/fh0dfb4QuyMGhVGPIE8Ojr7cK5SeW6ScFDIH53/YYV9QizHLaePT4A0fErLTq0LqvFoumFsBUZoVQAi2yFKC3QCYlfyTgUpYKck4HJPHYKJRanL4xH/9Yukq+P/q0d91/VmPGxjDcAnsvlwFPdOcjrzapCvbAQ4vVV67JaVBfqMbvChMaqQpEujb3OcrMuTnZf11wNTyCMjn4XBlx+IdkIGO1Hu/aiWjj9Xvzpw25cs7gavlAYDVVm1BTrUWaKtMawFemF1mhhFth1qAermqpwot8FrUqBkwNuhFkOT3z9POjUCnQNerG3w57wGYVCLJ7/+LQoufj+q+bjvJoikT6Jti34ijR3RlX/S0eVlskq97sG3Wjrc4kW1RtW1KOutEAyOJAo8S/RO02ax3c8fwjbW5fCGwwnTNjqGvJgyO0XKj/wyXJDngD+eU4Zehw+4b3WqRV48NoFWLe8Dhw3+i7q1AriGEsLdGM+y2hZEv17/r+vWVwtBGwrLTpcs7gaXYNu/FN9KThwcVUax3pnpOSW3e3HiC+IT4e8xL/vPnpGqCCx+fqFKDQooVcrcc8VDTBoVOgZ9kCjSvzu57LcpFAouUE2Em6T0bepyK9krmE8thrLQUjs4c//gz8fxEPXLsB3/hhpx/njaxeg7cwIwiwEPwNfHXjIE0CpSYva0gLsPTFATNrhr4dvaRadMHTbxbMwo8QY1w5+sa1Q0J+zy014YOcRke7ij73xuf145dYWnFNWgBnFRpyyu0XreADYc6wPHWdcqCsz4cHVjeh3+fHbd7qE67AVGcEw5Cqcc8pNxIrTydhn6a7Al4l2ona3H587pwwfdA4JCd+fO6dM9gAZJbfWsvmMQaMS2ZcMA2hUDAxpaJWhYJTEZ/rg6gWyn2uqo1Exomp7yawhKKnh9IXiNoI9tbcTdWlYb41QeUjJM8w6TUaqtJh1Guw52hNJFHcHUWiMJIqfN6NB1vPkEmdGAqJK3r5gpCr4IpsVtWVZHlwaCLMQqjQCkevd/Opx/Oqm5iyPLD2UFGhRU6zHqqYqYcPKSx+fTksF0EqzjniucjOtmEiZnAx5QrLYU8kmHH0TwLcArD/77zcB/CylM8WzBEA7x3EdAMAwzLMArgQQnXB0JYAfnv3vPwLYyjAMw3G5v+crkdPQoFERnVQzSoyCM+zJm5eg0+4VJdUAkUAa74iqtOhwQ7MNt0lUA9KpFai06ImJPZfOK8N3/vBx0k7GZEjkCA2zEBT74e5hXNdsE2Vs33vlfLh95MpHvPDWqRXoHvLE7aC8/6r5aKi0CL+RctrNqzQRW47cE1UZILayxpAngDkVZvzTrDLBMWcrMoqOX1Osx31XNkKtZNLmxKNQKPLgC4SI8tUXmFhbxvEw3gB4LpcDH8/OQYWCQWOVRfS7IU8AerUSRQUaNFRaiIGS2Ip1W29chHXPfERsXfrgtU3Ee61UAHq1klDFZT5sVkNkfAyDfZ2D2LK7nVjxZcOKevzu3S5sfb0dP7q6ET/dfRyXL6hK+IwO9ziEZCN+PHc8fwj1ZfG7wWMr0mSrSksmglYToc/pJzoRFtuskglHiRL/Er3TUvPYGwxjaW1JwjHb3X6EOaC6UC/aTXDbxbOgj0ok4itb/e9fj6LT7hW9iwVapWAb8S1vbEUGuAMhsCwn+Yx4WRJt++z4oFs4Fl/tKPa93/ZGBzZfvxCLbeLkuLHeD5LcqinWo8/px/G+EVRZ9Niwog7P7RtNnudb8vD3dNOuI1j3+XpRNaj1y+tx38ufiKpejHWtuSg3KRRK7pCLCbfjSRAa6xrGY6tJ6Tp3ICQkiz+w80icjcS33nzg6sakW8WSWpr95LXjaF1WK0pAXdlQAVuREU3VFhzodkR+q2Iwp8KEW1pqAUDYkOULsugadGNmiZHoJ2iYZsJnQ16EOeD/PfOhSBc/814nvnyeDUoFJNv7qpRMnC2xadcRVBXqRFX6SPo4nRX4MtVOtMigRfsZd9wuamuetqnIJm4/eS3r8dNqOHLCciy+uawO97w8apvfvaoB6XBJD3sDxGfq8AZkP9dU5uSAG+ue+ShO9/DJqBR5KDKqiZuECw0TbpYRhz8UJs4dfzDzvj0KRQ4cngDR3pZbHygZDp+fU4l/e/qDUR13eQOUTM6HXceN00e+t05vMEsjSi+es2u0aHxBFp4sxD4ygUoBfPviWTg5MNpC7tsXz4IqDVW7Cg0KfOuf6+KqwVgNeVwijJLXeIPk9aU3RXmRMOHobCWijzmOmwNgc0pHH5sqAJ9G/bsbQGyqrvAdjuNCDMM4ABQDGCCMsxVAKwDYbDYZhzlxSIGXQDhMbG322bAHAC/8Q0QnnEGjEj4j7dzjqwE9/lYkEDS7tADXn1cTl9gzu9QkeynZRI7D6NJ2V587XRgTP/a7XjiE3609n3gMjoOorVyJUYvPnVOMHocPFRYdGiotUEVpECmn3ZM3LyEqW4N2NAksurLGoumFqCk2xjkHo4/PJ361Pr0vaSdergRsk507uTJeCkUOrEZyX9JUHCBy6Z3xBsBzuRz4eKsD8L+bfWsLugbdMGhUKDdrUV1oIO4Yv3RuOfHzXRtaYHcF8Pe2flGw6cQZF/Fez60w40S/S1Tljk/8WWyzora0AJ5AGOxZPUTSvQ/vHq3E9/0/H8Tai2ol28JFPyOplh29Dh8WTCffp2xWaZEraJVOu80tuaiWDsIkuqeJ3umJJLKwLIfPhn1ColDrslrYrAb0On34zdunAABP3rwEHDiUmXSwWQ1Qn60GGf0uugNhIVHIrFeLWgfGPiOpRD3e9plVbkJDpRmXzqvAgNuPX73ZIVktIjoYSno/Hri6EYttkQqRJLn1wNWNONDtiKtI9dTeTgx5AkIiPc+qpioh2YgfB2/7JpoDuSw3kyWX1zwUSq4zmeeP3PJrPLaalK6L3kwVvY6ebjVAq1bis2EPrlxYhcW20UqVia7HEwgLrdj5jUc7PugGezYGEq2DZhQbEQhx2PZGB2aVFeCb/1SH78a0oXj6nYhOMWhUkn6Cp25eggF3QNBH/N9+8tpxPHjtAvxo5xEsshViRkkB8d69e1Jc2ZL3Edyw7Z2ENlM6bTs5kpmSmTuBMEvcRf3UN5ZMaPyUeEok1rJFRk0WR5V/KBhGSDYCIu/0PS8fxvbWpSkdJ5n5U2wgP1OrgT5TOekcdBNlbdegmyYcyYjLHyTGPNxjrMdJJDN3CvVq4tyx6OVPbqJQMoFGRa5crU6h11kyc6d72Id7XorRcS8dxq9uasaMUtMEriB3MUvIC7M+2ZockwuLhG2Rr/IxyHLodfjifIvTClPbYJjM/DkzEhKSjYCzce0XD+OJr5+Hc/KwWhYl/ymSXIukJi8SSlOO48IMwxxjGMbGcVxX6kPNDBzHbQOwDQCam5tzJhVXKjA3u9yE7fu6RCWqtu/rwqqmKgAQynWTnHDlZq3w8Pld59H4giwappmw86zz7eDpYdwVE5i564VDmF1OdpRNJIkkkeMw2knp9ZMDgk5fIO4Yd66ahxFfEGsvqsWW3cfxxNeXYOZZ51hTigFZqUSu7iFPwqpGUsdPJggXTaZ2GSZDMnMnl8ZLochBIMzGVUlLtae8XHpnvAGkbLT8SIXxVgdQKBicU1Ygcvh19LuIgZLtrUuJn79yaws6Bz2iRcb65fXYdagH9101H3dGtS+7a9U8jHgDCITZMQM95WYdXvr4NNYvr4cvNHYlPl8wUjUpuo2pUgGsmFMmagsHAJUWPVEnxbYIjSabVVrk2oGfTrutpshIvD+2Iuk5lcw9Heudnkgg+JTdjdt3HBACtXzlhrUX1QrVKvkWNDz83D/eNyIa85AnAJc/HFfhKfoZSen0XRta0OuMlyUz2ci1He11JgyGkt6PH/z5IFqX1WJOhRkrGyri5NZnw15iRapta86FRa/G+mc/EqodAYBSQbZ9lQoknAO5LjeTIVfXPBTKZGAyz590yK9UbTWSrlu/vB6PvXFCZFcPeQKwFRnwyJ42UevXaD2c6HqiW7FH2+rR+IIs+pwR/cCPqWVWWVzwZMueNrQuq0W5WYdys1Yy2XvA7QfLkXXM8b4RDHkCgp4h3btYWyIVH0E6bTs5kpmSmTsOb5B4Hkee7hrPJmGOI65l2dwvBj+pcPvJa75UKwMkM38C7MT9E5TEGCW6DRg0+RlszhZmnYYY89h8/cKUjkPnDmUqYtSqiO90QQpyKpm5M+Ijx+VG8rhaokYZqb7JJ8jz1Tg1KSRzTSZ8gRBuu3gWfvLa6PXedvEs+IL5+YxDYY7oW3z8a6m1kEtm/tjd5GpZg25amZIyOQnKZE8lq6msAA4zDPMeADf/IcdxV6R0NjGnAUSnilSf/Yz0nW6GYVQALADsEzhnxpEKzO3a0ILbV84VOev43dy8Q25miREzS4xxTjgAgqMPALFf5OxyM2xWAw6eHkbXoJcoACPVE+QtFx/rOKww6xBmgXdP2lFujuzK58ceXVGIJ7IrS4vGqkIhkHbwtBNb97SLgk3JOMeknHakRC7+3mtUDLataU6qLVr08aUSv6TGOZGAbTYqDaWzxDuFkg1GJHrKn1Oa+V7VEwkg5WLLj3QgFSiRChid6Hfh4d3iHdZ8sGnI5cePr10AXzCMU3YPHtkTKRX5g8vmjhnomVFsxO0r52LTriP4zqVzJCvx8f/dXFMEnVqBHocPLx84jfuubIQnEMYpu1v0fBsqzbj/qvlCWzWdOr5FaCzZrNKSzepKyTKzhHx/ZpZI3x+b1YBta5qxr3MQLBexpW5fOTfpezqReSx1TxkGomdL0v8AhHeRr6gllRDHPyMpnb5zfYuo/Vv0+eZVmlBVqBdVfeDPHR0MlboWg0aJo71O6NQKzDhbNZJ/X070u4i/8YdYNFYVxtnL552dW7HjaK4pSup5KRSMqBUegEmXdEShUKYmE7H75FhDRleiPNLrxPG+EaFy0PryArxyawv6XT6hGt9im3VMnTjW9YRZ4Nn3R4OVQOTf15076kKKBImVIt0jtS6vsuhhLdDAVmQUKlbG6pEqix7HekeIf1MwENlaoRCLwz0O9Dh8qLTo0VBpjrPPpBJkSTZTOm27TCWqm3USu8Z1+bmLOps4vEGJtWxu2OL5glHCZ2nQKGU/l6R/oiTz/ol8ptysJQZTys209aOccByw9nMzMeAOgOUibW7Wfm4mkIacyFzy7VEoclBcoEGFRYfWZbVgOUDBABUWHYpN8la8Ky4gV7MozuPKemecfjzxj1MiefHEP07BVmTI9tDSQnWhAXe9eFh0vc+814nHbzov20NLC56ARKK4X/4WctMsOmJMvsKc/o3AFEo6cMq0Fkk24ejO1IeYkPcB1DMMMxORxKIvA7gx5jsvAvgagL0ArgWwh0tHs+w0IhV46XX6RIGpEqMWvlAYM0uMgsOKd8iRnHD8b53eAGqKDEJriZpiPX54eQPsLj/2dw/jv/58ELe01KZcPWEi8I7DGcVG4g76S+eWY+fZsd935Xxh7NFBVv4YAPDt7fvH5RyTctrFJnKVFuigVACLbIUpBQijj8+PK9lxxr4XlRYdrllcjeN9I8KxSWPIVqWhyRBgplBSobRAQ+wpX1yQHYf4VEkckiJREKzcTDbkpaoDHfrMgRuabXj6nU4hWdUXZFFXWoAf/eUoAOCuVfPw+FujyRMP7DwS53y8/6r5sFkjC08hoaTCRNRfd1/egN+/O5o0fGFtMXaub8Gg24/Twz5Ry81Nq5vwpfmVUKkUUKkUuGpBFerLCtAr0SI0lmxWaclmdaVExCbIvHJrC4Y8fqiVCmKyV/TvYlvzbVrdhEvnlqd0T5OZx6R3XeqettSV4JpFVUKwUcqm4m2RHocP2/d14X+uaRozMSgZnU6yN7beuChhMJR0LTXFeph0avz0tTai7VJbTK5INfPss4p916OT16Of14W1xUk9L1q1kUKhZINstqeWU+7xlShnlhgxr9KMC88pFtkh0RUqJ2LbDnr8uKHZFteOhTeP+H8Hw2yc7iHplNMOL5pnFAlJpyR91jDNgmFfAHdf3iBUSdKpI+3oz59pxXRr5BpDIRbPf3w6Lln8qgVVIp2lV6sSJupG39d02XaZSlQvM5ED+WUmGsiXm0KDmriWLTTQKi1ywnIsfnh5A34YJQ9+eHkD0uGWLjdric+0zJy/gd9sYCsyYt40Ex66dgHc/hCMOhVMOuWYlXApqeMJhOANsqKK07ddPAveNFTVyDXfHoUyUaZbjTg97EGxUYNBdxBFRjVUysjncmLQKHHvFQ1CWyidWoF7r2iAUSt/Um2uUFmoJ8qLyjTFSLPNdKsBty6vj1uz8H7ufKMogy2H55aZ8K1/rsddLx6Kmj/zMa88P9sRUvIfq9T60pja+nLMbzMMowPwTQB1AA4CeJzjOFmsQ47jQgzDrAPwfwCUAH7NcdxhhmHuBbCP47gXATwO4GmGYdoBDCKSlDSpGCswlygxZywHIP/bjn4X7nzhXfiCLCotOtzQbMO//+5DrL2oFi8fOI21F9WiQKvEnavm4b6XPxGO/99XNyIQZtHR75IMvk3UITrWDnre8Th/WiFmlUeCrFVWPXQqJd7vHBTOOZZzLNEYEzntYh2gM0pSb/vDH3/Q7Ud9WYHQEiWREy/6vai06LBmaY3ImSr1/LNVaSiXA8wUynhgwOA/V87B/+w6Ksy7/1w5BwrQYLPcJJLVsUGwmmI97ruyUVRprtoSSab96NNhofrMrcvrMbfcFKcjbrt4FliOgzcYxg8um4sHdh4R2lLNKDZgyBMpe/rzv7WLdOOQJwCjRol1n6+DL8SC44BH9rRhsc0qyNdo3bv19f2irO9f/L0dD65egFKTVrhG/nf/8YePRTv0N796DGUmLc6rKRKSjhZMt2KBRItQEtlKUstmdaWxkEqQCYS4hPYVr1utBg2uWVwNhom08ese9qRsG6Q6xtikoejPzzsbGAWk2wruXN+SVEKOVHtbnlidTrI31j3zEXZtaMHOMYKh/Pvx67dO4KYLa+ENhFBTbBDso+ix87bLzNIC/O91C/Effxgd74Orm4Txkt71iQRladVGCoWSacab8CNV2S6RXRX793TIvVTtECl7UOpzjUIR145sy542PLamGeuW1wntWVbOrxDZJjs+6I5rlbBhRT3qywuESodj+QmqC4246wXxTuBHX29Dc80S4T4f7nEIjnt+bHc8fwj1ZQVYMN0q3BeW5eL08dYbF4HjgL0nBuKeX7psu0wlqisUIO7IV+Rnl4qsolYo8N0vzMaP/++Y8G599wuzoaY3W1bUSgUMGgbb1pyLIXcQVqMawx4/VOlovcKB+Ewp8uP2s/jOHz8W6WOKvBg0KjzzXqfIB/LMe53YfN1C2c9FfXuUfGTYE45bN8gNy3E43juM39y8BP1n7cNXD5/GnMr8TZiYW27CvVfOx11Rm0fvvXI+5pabsz20tHC8fwS+YFhkm/uCYRzvH8H8qsJsD092lAxDbJmnTMMmn+MDLiHZCIisB+968RBmV0TWgxTKZEOrUuKuVfNwb1QOyV2r5kGrTC0JNVF60pMAggDeBPBFAPMAbBjXiAlwHLcTwM6Yz+6K+m8fgOvkOl86SBRItVkNxFYp0Zmk43EA8uc93jeCW1pqseODblyzuFpwypl0StGOwJpiPTZfvxAMOOg1Ktz94iF02r3EwC4A7DnWhwPdDrAcoGSAxmoLls8uT+jMjP579A56voIPwwD9Lr/wXT7I2lgl7YQlOccA8k7/WKetXI7QRATDHBZUW0Rl5Mf6bbRTNPq5AWM//2xVGsrVADOFMl6GvAGY9UrRzrZAKIRh79TotZupXfZjJVh0DXnQ5/TBoFFh064josTZ6GpAm69fCAUzWu2O39HOJwOtbKhA8c1L8Gb7AHQqBXQqBX4U5Wy67eJZYMBhWqEBRo0KW29chHXPfIQDp51wvHECv/paM4IhFiqlAoc/c+B373bFtfDkg3X8/epz+tBp94qyvgGAAyeSxSzL4fSwh7hD/2D3MM6M+HF507Q43do16Eaf0w93IISaokhVvlypvJLN6kpjQbKlDnQ7RJUFpPRrn9MHq0ETl/xbU2yErSjxtSWTVHfK7kb/iD+lpKHoY9rd/jH1fyoJOcno9LEqdC6tLRECqScH3Oi0u6HTKKBVKlFcoME/1xXDEwjje1GO/PXL6+MqjvU5I2NXKBh8YV45TGdb2oVZ4H9fPQaVUiEZjE/Fvot9PonuJYVCocjNeNf7JBtKo2Kw7pmPiGtgqd9YDeqMyr1YuWuzGuIqCT5wdSOaZxTi0OkR4pp+8GyCOGnMW/e0C9/l9aXVoMb21gsw4gvgk8+c+M6ls2DSqmHQqtAz7EF9WUFEZw26YdSoUG7Witp78pwZIdt4fAvOPqdPSF6PxmrQwOkLxSUSxbab/6RnBF965M2MV9jLRKJ6r8OP371zKpJw7A/BoFXhybc7MM0yFzXFVL/Kid0TgFmnEq1lvYEQBj1TYy2bKcJhDt4gh+89/YEwZ++5ogHhsPwVjnpH/DjcPYxff/08DIz4UWrS4g/vd6Haqpf9XFMZuvEgM4z4A0QfyIg/KPu5prpvj5J/ZEpOsSyL2ZVWfP2J94R5et+V88GxbOIfT1K6HV689sln+GVUIvHv3jmJ5hprXuoAhzeI+185ErfZ8PGvNWdxVOmj1+nDyx9/hgevXQBvIASDRoXH3jiRlpZ5PQ6faNMqAOz4oBs9Dl9Km4kplFwhxIZg0qlECYomnQohLrWWhIkSjuZxHNcIAAzDPA7gvXGONy9JZqdi15AHj+xpE+2Qi62YkGoSCem865fXQ6GAIOhmlZnw/575UDhup92Ljc/tx9PfWII1v35PMrC7aXUTys0anHH6RaVPN6yoR11pgbDTP5lr53fQxwbxfvVmR9x3ExlTsc4xqZ3+EzG+Ut15OpHS9NHOx+N9I0k//2xVGsrVADOFMl6KDFoc63Xh4d2HRXKutiR/d3LwZLKdEEm2b9p1BMEwK6oIxycjSCVgti6rjdvhvvaiWiEZSKdWQMEANcVGfPdskgP/3Z+8dhyty2qx7vcfCde6a0MLep2jgZ9YfconRujUCpQW6OLu12++fh7Wr6gDe9bXvOODbgx5AiJZzN9nluWIO/QfvHYBvvfHj9FYZRG1sdpzrA9tfS5RO4pca/eUiy0ASbYUyyEp/Vpu1uG65vh37wd/PoiF0wsTtkiTmk8AcHLAjSM9TrSdGYFeo0wqaYh0zE2rm1BTrEen3Sv8VqdWgAFDrFY51jNKRqcnsjdIY9ywoh7FRjVKzXrc8fxB4pzlA7g6tQIGzeguia4hj2CP8sjhVEvlXtKqjRQKJV2MZ9OI1Po41iaKlpVSv9neekHG1pBScnfzq8fidOzWGxcLSeex12PQqIhjrrDo8Gzr+UJyLimR6Ym3O0XJ45UWHUpMOvzgzweF7925ah6O97lQX1YAloskGpWbdaiQ0H/BMIfLtkQShbbeuEj0nUqLDjddUIN/fWpfnC0QrY/T4cPIJYLhMJbPqYhLOA6GU3NSUhJTbNCcXS+I17J1efAe5RL+MIuf/a1dVKXlZ39rx4+vXSD7uaoL9Tj/nBJ84zfvi5KbqgppwpGc8BtNYgOEdOOBvJi0GqIP5Ldrz5f9XFPZt0fJTzK12TwUBu58QVyh5c4XDuG331gi2zlyDbvbj4XTi/FvUYnE65fXw+7256UOcPvDxHfJ7c9P27zSrMMXGytFa5ENK+pRYZZ/zVtpjqz/YltJp+NcFEpG4JT47h8PxPlBfpei7ZaoDqyQei5XK7V8Qsqhd8ruFr4TXQVh6552PPp6OzrtXpwZGXWA8UGdaMZyAJ6yu7Fp1xGsvagW65bX4ZaWWmzf14WZJQW46YIaPP5WBz78dJioUOzu0d14pMDu7TsO4MxIUCidxX/+8O429Dn9YFkOHf0uvH9qUPLa+e/Y3X5sWt1EDOKR7pOUMUUi1e8nQzLPcyLfByDcm70nBnDK7saMYiNmlZuSfv58VQL++5msNMQ7S/nKBrkS+KZQxsOIPyQYhcConBvxy6/qoud9R78LLCv/jshUGI/sGi+xsrrSosN/XDonrr3Slj1t+Or5NtiseqJsj71lviALpQKoMEeSgW7Y9g627G5H2xlyAif/e/5aWQ5YWlsClkPcvdiypw03XVCD21fOxk+uX4i+ES+6B92YVVaAb32+Dt++uB4n7R5se6MDW/e041dvduCmC2rw0xsWwu72C8+Yv88dA27imE6d/Txab52yu3Gg2xH3bqbr+eQTJFtKyWBM/crPzT6nD801VlgN4r7evmCkCs+pARfe7bBjz9E+nDgjnsPR7dhuXzkbP752AVy+II70OrDrcC++9MibWPf7j/DLNzpg0Wvwgy/OxrrldVi3vA6VFh1R35Pm6O07DuC+KxtF+n/Dinp8e/t+3Pyb9/BW+0DSMia68oRUAnEie4M0xod3t8GgUeOjriHiO6+POlYkADn6nXTYdVLjJN1LWrWRQqGkE6n1fmmBTtJGlJKLJJuIl5VSvwmGwxlbQ0rJ3VVNVXHjOtA9TPw8kvyjxYYV9aIx/+CLc2DSqsCdvQefDnnizvWDPx/Edc3VomNe11wtJBvx37vv5U9wvG9E0NVfeexdXLblTXzQNYQffHGO6Lz/c00TfMEw7rm8Ad/9wizs2Pcp7r68QfjOdc3VSdlu6dJ1uYJWpSQGmLWq1MqwUxLjCoSJa1lXID8DSNlixBfENy6cCb6DmpIBvnHhTLjSUKXF4w/j7hcPi57p3S8ehidPg4LZgk8Qffwt8VqeBgjlhVQJ0Bdk01J1KJO+PQolE5Sbdagp1uNbn68TfEc1xXrZNwr0u8nzdMCdv9XBGDBEW5XJ0xaMBVolcQ1q1OanbR4Is0R9EO17lIsgSz5XKI8rhFHym34XuRvAgMuf0nESVThawDCM8+x/MwD0Z//NAOA4jsvPBpdJkkzGcTIVaVJtV2V3+4mlSU06pUjQkc5bUqAVPmcY8s5/byBE/NwTCAm7FW9pqSV+p8/pw6dDbox4w3D7Qyg1a9AwzSz53WTuE6lVSToq/aSaQS5HZSq+tVCyz59WGqJQ5MHlI8s5l09ep0QmqwklSzLtLuUiWlZXWnRYs7QG7RJJQRUWHT4d9BBle+yQdGoFmmuKEGbFCUMsR9Z9XFRwLlpOk+S41aBBtVWPtjMuHO5xQskAxUYNbv7cTPx093GsaqrCT18TO4Mf3t2GDSvq8c3ffig841KTBmsvqkW5SYsNK+rw3L5uYbe9Tq3AzBIjNqyoEzk3+5y+pKvyUMSQbKnGaoukfpWq0PPU3k7RcwpzHP5yqFey4hS/S/aby2rhCYaFClvrV9TFtXO756XDaF1WK7SC2bCiHvXlBXH6Xsq+UCsZ7Fzfgk67Gx99Ooyn9nYCALENIV9hibefKi06hNlIBYdQmMMdLxxEIMThuuZIVcy5lWZR6z5SG5gwC7x70j5mWzJ3ICQ5DxfXWLFueR04Dti+rwsr51cIf0/Wrku1HWSie0ltKQqFkgmk1vsn7S7J9mhScpFkE5UWRGSl1G+KjFosthVlZA0pJXeVMVvdaor1qCszgWM5fPcLs/Dbd7qE6pJlJh1sRUbUlxcIJb3NWiWsRg1eO3pGaPt+TlkBrAaNqJqRL8gKG3r4+zqrzEQcU2mBFne/JLbp7nj+ENZ9vk6oaGLUKBHmWKx/drQy520Xz8JfD/XgqZuXwB0IQq1Uiqpe9jh8RNstW9WKM0W/y0+sHNKfopOSkhiptaybBthlxaxXg2G8os8YBjDp1LKf68yIRMtfOn9kJcyCGCC8dF5Fgl9SUsGkV6GmWI9VTVWCPnjp49MwaxOFoVInU749CiVTTDPp8K1/rsddLx4SbM97r5iPaTLbiyYtuZpoQRrmaa4wKOHHGszTJCujVoWf3rAAoTCElpMqReTZ5yNDniBxLTLkkT9R3Okl654RqnsokxSjRonmGktce3S9JrUExTGlC8dx+ZnuKBNyJROlmkQilY37sxsXC5/t+KAb65fXxyUlqRQQxsOPN3b8UuXLi40aXL/tnTETmgoNKuz/1IN7XjoMq0GDmy6ogS8YljiPUggc8dWQolvsbL5+IWxWw4SSdFIJTKU76UmqqsjO9S0pPf9cbGVDoUw2Kixa4vwtN2tlPU+mem+nQirtLidKtA7kq+rd0lJLvPddgx78YV+87tp8/UJoVIwocHTnqnngwMYFtUi6j08iiT4XL6dJcvzmC2vQPeSNaytaYdHj//1THQByQpD77I5iq0GD7kE3fMEwHn+rI24cQ54ANqyoxwM7j2DIE8DsCjNsRUYhuMhX5cnXYFS6kLKlABD1K6mtycO729C6rBZbdkcSgn50dSPsLj98wbAQ0Iydw3w7NrsnIEowkkoci6629fDuNrxya4sw33hbQ8EwknbTjGIj+pw+bNkdaU32rc/XEatIztvQIrQL5O2x6KSp2y6eBZ1KgR/tOiqZDMnbGzarAa8c6hHZaFJtyYwaFV76+HTcPLxz1Twc63EKyVaxNlsy9vJ4EjilbLVys47aUhQKJWOQdJSCAVY+/KakjTij2Bi3Pr7t4lnQqxUim2jDinohmWcsWZqpNaSU3D1vRpHweU2xHt9cVicqd3/3qnnY8eGn+MZF5wjjXT67HLUlkQRxvVqJvR32OPvs5gtr8MBfjonOZbPq8cqtLeh3Re61yx8i61WtiqirfSFWaAH6rc/X4eE/i9tN8O16y8xafNITwL//bjTpl2/NG9tqF0h9o9lko8qiJ7YWmGahLaHkpqRAI+mzo8gHy3JwB8JxcicdFYv5yqexz5RW3pGXMyPkpNh+lw/nlNF1gVzoVEp885/qcM9Lo23O7r68AVq1/GGmTPn2KJRMcajXKSQbAREZddeLh1BbakTzjCLZzsPrtFi7TatO1BBn8lJsJMuLojy1nzQqBk5vCHe9OCqL772iATXF+bnZzqxXEdciZr38CValJvK7VFyQn+8SJf+xGjS4rtkm8tHcc0UDigypvdP5mc6YIeRMJpJyAJISXaSyce3ugCDoehw+PP1OJ1qX1aLKokfXkFfYTd5UbcWc9S0YdPtRX1YgcmKuX16Px944QQz4+sPsmAlNm69fiBFfWFhQXLM4UlrcatAQk584Thw4qinWY9uaZqiVjHCtUsH6V25tgUbFCDseFUxEicbeu1QCU1LPc6JJTzxjVUTif8Nlt9PSmKRaVYBCyWVYFsSFldxzMFO9t1OBl3VHe53ERIXxJkNJyQheBx7vi1Q2IumPO1fNw9Y97YLu4neVt9SV4LwZRegadAvynuOArXvaMeQJ4Imvnycy8HscPmzf14XN1y2AJxBGv8sPg1qJIU9kt0qsnCbJ/TmVZrSe7efN35eHd7fhoWsX4PY/HcSGFXWSVZQqLTp8c1ktigu0+M5ZAy36GL9ccy4++cwpqqITG1xcXFOIn1y/EEd6nWC5yE7A21fOzZtgVDqRsqVIn0nNzUXTC/H7fz0fwTCHO184iE67VxRAjK1aMKPYiFllJhzti6/cNVa1Lb66WNuZETAMYLMa8NcjfUKCUKx8Wr+8Huuf/Qi3r5yLeZUmIWlQqg1hn9MvvNe8PRb9Pj7zXie+e+kc3NJSCyBi15HmP8tyeLvDHtcG8fYdB7BtTbOostKGFfXwBIJYv2IWtuw+jrUX1UKpAOZUmPHrt07gzlUNeLb1fKItnIy9PJ4EznwP7lIolMlDrI7ae2JgTBtRoWAwrVAn2EQcB/zm7VMAgB9fuwDH+kbAccBTezuxyFaIGSUFaauGm8o6MFruRpxW1bAVGaAA8PTaJXizbQB1ZSbBkcVf9z0vf4Jf/Mu5uOicElHi64xiI472jsDOBohVKX7+1cWiBKz1y+tx61l9ya/73z9lx52r5uG+s23j+e+dHiZX1oxeDygV5ATiWeWmuEqbvmBkI1jrslrMqTDH6Zp8r1Zs0KiIz+jiOeVZHln+oVIw2HjJLGx+9bjwTm+8ZBZUefIu5QqBMEd8px+7qVn2c3HgiP4JIIedhJOQfK80lys4vEH84u/tgg0DAL/4ezvuu3K+7OdiWRDlYS771ymUseiV8FX1OeVtwev0BWFQK0WxNYNaCZdP/mowuYJCAdy9qgH3vByVDLmqAao8zbFyesN49G9iWfzo39rx4OoF2R1YmlAwDNFue+obS2Q/VzDEEnVPKESVD2Vy4gqEiO2df3PzeSkdhyYcTYDxJBOl4qyTSpixFeklSx5GO9KGPAHo1Ur8dHcbhjwB4u7GxSyHxioLOu1u+IIs/mfXEXTavXD4gvjJ9QuhUytQU2wUkn9ICU2LphcK39l1uEcYF9+yLTaAPLvchIf+ehSfqysWOeg67V60Pr0PO6MCR1IBwa5BN+57+ROhPCvLAfe9/AlqS0aduCcHyIGp2be2YGaJcczAePTzlKsykdTCtsKsy7mWS7HkYlsoCmUifObw4am9naIgzlN7OzHdapD1PLno0OJlXey4gPEnQyWSEfzxdGqFSCcoFcCy+lJ82DkoJAX1OHx49PVIFZSWuhJBVvMVXaI52D0cl7zUuuwcdA56hITXmy6owY+vXQBvIIQ5lSZY9Gq8f2oQ7kAINUVGXDq3XNRa6dSAm3hf+BYFz+3rJjqDn9rbiZsuqIEnGIZdom2cP8hi065jcZ9H33O3nxXdx02rm3Dp3HIqa2VGam7WnA0OXrZFXHViy542rL2oVng3+TmsUDCYW2lG25kR0fF2fCD9nvDtBaPf202rm7D51WOC3fTU3oiNVV2oR+egF7sO9WBVUxWO9jpRVajHL9csxiefjeAzh5d4He6o9rixLXQrLTrc0GwTkuKiE6r4JGh+3hk0SuzrHCS+z2olg1dubUHXoBsalQI6lRIlJg04DvjhFfPxUdcQwiywadcR3L5yLhqrCqFQMJK2cKLqG+NJ4Mz34C6FQpm8JGMjFhu1QrXE6O8c7R0RKvDE/kbuSkbJrANj5frcChM2XlwPo04tSvL50TWNuPCcYnQOeIjy/MOuIdiKDKKx82vxey5vIP5mwBXAg9cuQPuZEYRZCMnB/Lr/nLICFBu1cPuGsPaiWmhVCtSVFWDTriMIhOID/PdfNR+P7GkT7u3cSjPxOc2tMEtWylg0vRD/NKuMqGvyuVrxp8Pk59o97EF9hSlLo8pPHL4AtEqFKEioVSrgyOMgYTbwBsjtMrxnK9vKSZ/TT/RP2Irk9U9MdehmhMwQYlnc0GyL23gcYtnEP06RATdZHtrztEUSJf+pHKNKs5wUaNX49dujsbUwC/z67ZP4cZ4mowCARa/BiTPD+M3NS9B/1j/06uHTOL9WvspRuYTDGyTK4ny1Fx2eINFuc6Shpdqgl6x7Br1U91AmJ3ZXgDh/7K7U3mmacDRBUnEYpZq0IZXo8vK6i3D/VfNxx/OjvVw3rKjHvS9/Ao2KERKFbEVGKBXAIlthwmSoGcVG7DnWhysXVglCUq1iRI6yGcVGbL1xEQ50O8BygJIBGqst+KdZZcJ4C/VqkVEUnaDEB+lal9Vi4yWz0ef0EftqRgeOpByxRq2KqDAH3X4hUHasz4lbWmqx44NuoZIEn6x0rG8kLqA7rVCHYqMWM4qNoueZKMCV7POXWtiSdkZmu+VSLLnYFopCmQjlZi2GPAEhWAPwARt5yy7nqkOL3zEuVzJUMjIi+l70OHx4/K1IC7eF1YUY9gaEgE/0bvh9nYN4bt+nuP/KRuJYHb4w/vRht8gxW1Okh9OnFlrGRQeR7rtyPryBEB74S3wbKT4pWKrtRr/LDwBCMsi2NedCrYzcr5N2FzQqBrPLTfh/z3wo2Tau3Ewuucq37jx4ejjuPt6+4wAaqyxEWUsrz42fsebmuyftRL3PMPFVsgBgZokRjdUWUdByyBNAfXmB0NKlxKhFv8sPbzCM+rJI4nXsc+YTmoDIe7ZldzvWLa/Dnz7sFiUobXujA5uviziBlAoFfnL9Qjz+1gmcX1sKpQI4r6YI1Va9UAVpdrlJ9N7x7Q1JFRlKC8RJ0OtX1IHlyNWajBolBlx+cAAqzHrUFImrNF3XXI25lSZcs2gJZpYYhWSj8SYwjzeBM5+DuxQKZfIQq7NtVkNCG5Gkq2ITYtJtV45l480oNuLkgBtHepxoOzOC5/Z1Y8gTwEPXLoDDF8bm18S65vt/OoifXL9QMlm2rsyE430jwrUrFIywFh9w+4m/MWlVCLIc/rBvdM3Pn+9IrxMzSyIbo+ZWWvCvZ6vyVVp0+Or5NpSZtKgpMeC51qVwB8LCc1lss+LMSER3D3kDcdWRNq1uQk2RQbALSMnLU9EeM+tU5Geko25HudGr1fjRro/i7vWTN8u/g3sqY47xbwKR+5yu1hwk/0RpAW0LJSd0M0JmMGnVxPXm02moMmE1qLHh2Xh5+BSVh5RJSkOFGfdeMV9oq6ZTK3DvFfMxv8Is63m0KgW+9fk63PVCVLutKxugzddyPwCmmXRoml6Mt08MgOWA9jMuNE0vxrQ8rXJXaCDL4nRU/MkF9Bol0W7Ta+Rv51mo12AdwRb/7drzZT8XhZIJpNoEproWoSv/DJJq0oZUoku/y48rGqdhRrERAy4/PukRt2e57WzLMb7/9IySxAEWhYLBP9eXobRAix6HD9MK9TBpVXj3pF0IYgJAIMSJ+pdvvn4hWJYjtgEh7e5/4OpGVFp0+M8/HcBXltiIfTUrzDrBIWt3+7FpdZOo7dvm6xfCoFESFeYza8/HSwc+i2sTx+90jATIVPj3371HDPS9fOA07ruyUdTWTa4KJVILW6nAZjZbLsWSi22hKJSJoFVxxAWcVi3veXLZoSVnMlQyMmKse7F8djnqSguwZEYRTtrdooTa9cvr8fDuY3G6gK8Iwye0AhHZfP7MZhzrHcF1zfFJFXe+cAity2pFn23adQRVhToEwiw+G/Zh86vHcNvFs/CT18RlUZ/4xynh2oY8AVh0ahi1KpwZ8WFmkRHf/+JcDLgiLU9JbeM2rW5CIMzisTXNuCOqVVd0686jvU7ifexzxstaWnluYoz1Pkrp/Qtqi3D1wioheSb6WPw7vNhmhScQgq3IKHxvZokx7llF2yZA5DkrY/w6OrUCCiY+Qchq0AhVvEYdQ/Mx7PbD6Q9jX+cg/GGLUAXpob8eFb2PY7WHUSrESdB8W7/Y9/mBqxux/9NhUfLeptVNeHrvSSEBkOWAH//fUTzx9SXC/Yq1ha0GDY72OqFTKzDjbLXMZNr0yJXAmY2kPZooSKFMPaR0dmyVxWTaTUYnxGTCrpSy8T4b9uBo7whRt7WdGZHUNS5/CEUGDe5aNQ/3RiXx3L2qAf/716OCfbT1xkWYWVwAbzCMDSvq8H+Heon22T0vf4IhT0CoIghE9CavU7sG3ZhRUoALaosF2/G6c6ejwqLDp4Me/OS10WrQ588sFm3I4p/ZrLICod1tmAU2v3oMaqWC2GJ90+om2N2RJPWpJt+1KiXuvrwB97wU1abi8gZoVfI7+ac6gx4/cX7xFWMp8mDWqeI2e95/1XyY05BEp1SwRP+EUklbc8gN3YyQfoa95CoTw175q0w4vOQd+flawYOS/3w24sNrRz7DL9eci2FPEIUGNX73zkk0z7CiVief3AqGw9DFtFTTqZUIsfJX8csVjp4ZgS8YwqwyE9z+EIw6FTz+II6eGcFCmzXbw5OdIQ9ZPg7nqb1oNaqJbc6sBpmDPQD8wTDx3vqD+Tt/KPkNhzBxLcIxqVWnpAlHGSTVpA2DhrxDzKBW4rVjZ7Dxuf24paUWW/eI28xEkpJ8QsJRMkQnDUUn/zy1t1NwwM2rNBETpra3LhU+j24DMrfSjEqzDhfPLYfd7UeZSQcFA6x8ONKmJBTmsPX1dtHxHt7dhkvmloscsjXFevziX85FIMSi3KxFQ6UF73cOEqsj9Th9QkCaPybfBuXxtzqwYUU9/GGyQjDplLih2YbWszsfox3BcgW4SAvbXGy5FMtkGCOFkgoKRoWiAjW2rTkXQ54grAY1AmEWCkZ+h3iuOrTkTIZKVkZI3QuFgsGMkgKwnAtfffxdogyvKtSJgnI2qwFqpSIuyHPnCwcRCHHYeMksoqxno3y2fGupG7a9I+gJX5DFb94+JbR8O6+mCGdcPsGBr1Mr8P2Vc/DuqUHRImbDinro1Qro1JEIF8MAP752AQKhMIoLtLj7xUNCEG3T6iZUFepQdLaqHp+EIVUZKRjmwLKc6NnQynMTR+p9lEpsuaC2RHJ+8O8wKcmb9Ky27GnDhhX1cPnDYJhI1ciltcWipO4Hrm6EQaPEJz3iRLRrFlfH9SW/62wy3dY97cL72FJXgod3fwhfkBW1Mfyn+lLhPDx8e5geh0+o/nDN4mpolAr858q5ePytE8LvF9us6LK7hWQjfgybXz2G1mXniKpA8NUnSa1ySa3leLura8hDbLkmZwJnNpL2aKIghZKfJEokHKtFdyIbkaSrov/Nshw6+l3jTmJMNHYpG2/YExJac/LXxNtsz+3rxgNXzyf+TqdWYvOrx/Hv/1SLn924GPu7h1FXZhKSjQBgVlkBgiEOL3x8Wkh8/fJ5Nrxy4LOIn6HCjCO9Tjzxj1NC4u7Du9uw8eJ6hFjEJcjaioxQqRT40vxKACBuToq1oaKfWcusMtwW9fwAxLVY73P6EAxzuDMmqXwqyXenL4hf/L1dVHn0F39vxwNXN2Z7aHlHuYk8L2k1HHnxB1l4/CFRMNbjD8EfTM3xngwsqyAGmGeW1Ml+Lgol3RQbNUQZVWzUpOFc5B35RQb5z0WhZII+pw9//WQAf/1kQPT5Ny6Se9O3At/744G4uZPPFVqCbBhhjhHWMHxyfDBPk6ykZLE1T+WjUaNCtVWPh65dAHcgBKNGBYUCMGrlT4HQnvX/x95bTR5XCKPkNzqVGgW6UNz80SlTmz804SiDpJq0EQiH43aUr19ejxF/UOSwlCMRhOQEfXh3m9DeY+Nz+/HkzUuIwVs+OMUT3Qbktu37RY62vScGRs8RYonH+3TIIxpLp92Lb/72AyEYvPn6hWiYZiJWRwqFyce0FenRuqwW1VY9ppn1ontWadHhuuZqzCqLtMIhOYKjA1wVZh3CLETVnybiRMzVlkvRTIYxUiip4A6EsO6Z+NKXv7n5vCyOKvPIlQxFkhFbb1wEjgP2nhhIWlZKJebWFOmhVirjWl5ePLsMv117PnqdPlSadVCrGCFYdWbER9SP0UOIrhzDMKM78aOrJq1fUYc/7OvGQ9cuwPEzIwizwIg/REyYXff5OvzXZXPh8ocE/bR+RR3+6+yuWP67t+84IAQZo697xwfdcW071i+vx50vHMQTX1+SUrtPyviRI7ElOoCrYBhYDRpRqxerQQOzXi2yY2aVm/GX9S043OPE8b4R/Pj/jkGjYvA/1zSJEoSi31We6GQ6/n2cX2UhvtPL6kuIOn1miREMA9QU6+Pa1j54bRMqLTr4g5HqFGVmXdw1rWqqEt5dfhxb9rThudalQjCcT6a3GjT4/mVz8b2YYPXG5/Zj25rmuORv3o6UM4EzG0l7NFGQQsk/kkkkTJfOnmgSYzK/J9l465fXo2PATbwmhonspq2waONsmg0r6tE95EGPw4cH/nIUGy+uR5gFvIGQYL9VWnS4YYlNSPDhz/fs+1144OpGFGjVcPtD2LK7HZUWHb71+TphA9LsCjP+7bcfiGTsD/58EAunF6K2tABdQx7i5qQHr12A430j6Hf541q5AdJ6N7rFOgBctuXNKS3f3f4wAqHRzH6GiVTIdvvzM4iTbWKriW9YUS/MBYo8OP0hUYI9EFlP/nLNufKfyxfEwunF+LenPxDJPiet0kKZhHAcWUZxaSjYxXIc+Vyg1cEok5NMbfrmK7RH4wuyGHD5ZT1PLhEKQ6jECUSu956XDuOJr+dnLCDEkuVjOB3COAewuwLotHvirrfcpMOMEnnP5fQFJeP2FMpkxBMIY+NzH8fpnidSjJXShKMMkmrSRrFRi+37ukQ7xLbv68K5NQuEB09q2zKeRJBeB9kJyjssfEEWnkCIaPBMs5ANIY6Ld7RFG018JYjY3xk0Ksmx8Mfb/q9L43b3P7y7DZuvXyB5zDALPPTXY3jy5iXCc7AaNELi0i0ttcTzRjsSo0ury7UzPZdbLvFMhjFSKKkw4CKXFR1w5WdZ0XQTKyMqzDp80jOCLz3ypiArN61uwpfmV0I1Rra/1MK6c9CLu148LLTXODPiQ1mBFp/0OvHdP47uUr/vyvlorrFgX6cDv32nK04/3n/VfHj8o7ostt0H6dxhNpKscbRvRKgouG55HfH98YVYwBsUJSOx3NhBKpblhCSMHocPI76gSO/zbbdig5JlkjubaeU5OUg2sYVUGQJAnK3AV43kE3Sua66OS875jz9EqkZ+5w9iA/9//3oUv/iXc/Fh1xBYDiiQ6Ese7TPwBVn4gmHybk+jFottRUSdPqPYiB9eMR//HhWwtRo0GHYHcHrIK1q4860G+WuSap/TNeTFd/7wTiR5sFiPH1/bhO4hL9rPjBC/v69zMCMB22wk7dFEQQol/0gmkTBdgYOJJjHyv4+uHHys14l5lSahYh9v4xXfvARvtg8Itsnqc6slE7s3X78Q9aVmnB72iSqDGDVK/PzvHdCpFbjt4lkIcxwYRlzZ+ZrF8fqRr5zUM+zDI68fxP1XNhKTY+vLmogyts8Z0VPH+8h6p/1MxMb71Zsdwto+9pklen5yyffJ3HazyKghbgorSkNFi6lOn9OPp/Z2itYMT+3tpBvCZEa6XYb8FY4MGlVcO/Ate9ryNghKyW/47gexMmp6kUH2c/VKyMN0nItCyQSZ2vRdbiZXBysz5W+1RLubHAsYdOdnLMDpDRHlY12e+p58oTAxXvz415plP5dKoSDG7e+7cr7s56JQMsGglHxMMVZKE44ySKpJGzOKjbh95dw4A6PcrEVNsR6rmqoiAg0cNl5cj/pyE2qKjcRjJnJcaVXk5B8+eMWXPiVlxZp0auKux6ff6QQQeTGP940AAGxWg/BdBcMQj1egIwfSdGeD1L4gix4Jh17XoJeYXfrAziNCQKzX6ROeQ/+IH1974j2iI5GvfOQJhHHijAtKRcSxk46d6bnacimayTBGCiVZSgo0IjkKRNo1pKPE81QhWkZ09LviZOXtOw7AatDgojrptlRSu+iffqcTVoMGbX0uoTIVrzP4Kiu+IIs7XziEJ7+xBP9oHxCCW1tvXIRPPhvB+TOLcK7NiqN9zkh5SH8IJr1KeA80SgV+cv1C/M+uI0IrjNsunoXfvH1KGF+iwJOCIVfvkwpS8ZUFNu06Iugulz8stHaL/X40SgV516CSVm/NGFKVIWaXx7egfXh3G1qX1WLL7kjLs1llJqIdE1s1stKiw/I5Ffjmb0d3Oz903QJ89wuz8eP/OxaX0MRTU6xHaYEWD127AG1nRvDcvm6hRS5vA0q15NGqxBWZrllcjQF3QFRlyRdksfnV46Jraq4pIr7rnw56hM867V50n01ckmohGI6J4aQrIScb7WJpi1oKJf9IJtEkXYGDiSa59Dl9sBo0ce0ta4qNsBWJ/QW8ncOfbccH3XF2yANXN2KxrVD47fLZ5agtiSSKlxbooFQA04sM+OjTYfzm7dGE1ZpiPTatbsLtOw4Im4z41p68nW7WKtE15MGqpirc8cJB3HPFfEE38tfd0e8iylh/iMVlW95MqHesBg2O9joj96DIiK03LsK6Zz4iXmvs85NDvk/2tpsMAzz7/qjjHYj8e8mMouwOLA8x6VQY8gSE6pVA5H0z6aiLV05KTeRgbKlJfp+ByxfCrLIC3LLsHHj9IRi0Kjz2xgm4fCHZz0WhpJsys5Yoo9KRyFBSoIFGNaojGQbQqBjq26NMWjK26ZsDfvDFORhwB8BygJKJtODKZ5diuUlLjAWU5mmSVaFBTZTFFoM6i6NKH94AOVHcG5C/2qpRq8Taz80U5o9KAaz93EwYNUrZz0WhZILiAnILxlQ3D9HVaIZJJWlDysBgWQ63Lq/HHWdbtPBVG1rqSomVI8ZyXLEsh8M9Dgy4A7jvyvm484VDccEr/vv+MEvMil1kKxTG2Wl346NPh4WKDEDkxTx42olvn22vdunccuxc34LjfSP42evtePDaBfAGQjBoIgvqJTOKiEFUnkgFB/LCf1qhHv/716PYtqYZYZYljqXMpBOeQ7STNrpaVHTlo+gxJCqnLjeTeYcjhZLLWPQqfOuf63DXi4eFOX7vFQ0oNFC1KAdSAbB9nYOotuol5WW03jveN4KDp52CDP/W5+uIOxX41p9AJFD06aBHSIzgk4Z2fPgpVjVFqiuN+EL4751HcNMFNSgxabDu8/Ui3Xf/VfPh8ATh8AWhV4/q1OhgEynwdNvFs8ByHKYXGUT6aawgVXRlgl2HevDgtQsAjsUDVzfiB38+KHx/0+om2KziHXpSuwYX2QqFqgSU9CJVWeJnX11MfP8XTS/Es63no8ykA8eRE9EqY6pGRrf944/znT98jCe/cR6e+sYSuP0hVFsNONLrxJAnsuugpliPb/1zPb782DvEIDAAIbmo3KxDtUWPv3zSK7SZia3IxDDSlbqqC/VYt7wOCgbgwOJ/r1uI//iDuLKTQa1EpUUn2GLus04AUpXOTaubsPnVY6Lz8JW7osfMB3knYiNlo10sbVFLoeQfySSapCtwMNEkl3JzZINNrJ6JbkNG8iWsX16P7fu6UF9egFdubUG/S3xN0Ums5WYdlswoBhCR2Tq1EufVFOGF/aeF8d6+ci4unVuOCrMOZ0b8xOpF91/ViEIuDL1ajT99yCEQincoP7evG/df1Yg7nh+1of776kbc/eIhSb3DJ7ZXWnRxiVebr1+IXRta0OuMVO+8dF5F3LXyyCHfJ3vbTYc3gBuX1OAnrx0X2cdOX37uGs8mRo2S6DOjQQ75+eHlDfjhS6M+gx9e3pCW85SZtfjK+TVCu2GdWoG7L2/I60oTlPxFwbC494qGOH+bgpG/Ohj17VHyEZblMOILYtgThF6tAstysseDBr0BeINsnP900JvHdhvDEuVFOmRTLsBharWctOjVxLWxRS9/gpVOpYReo8K2s613depI1wWdmtrilMmJVsXgnisacHeUfLznigbo1KnpHmp95TikBKVTdreQbAREHFF3PH8Ii21W0ff4ZJVTdjeO9TpFVSA2PrcfDd9uwfunhoRj1RTr8eiNi9F2xoVQmIWSAe6+fB5mlZuEwCh5h8JoAo/NaoDdHRCCXjq1AnevasDv3+sUzrvzrMNMwQBfbKwULag3rKiHJ0gu98eXbd98/UIoFCA6C01aBZ74+hLBsecNsqKxjLUTscfhw9PvdKJ1WS3On1mEtU/uiwts//hacsu2dOxMn+w7HCmUXMbpDQkLDCAyx+968TCevHlJlkeWH0gFwMIsEiZo8voEAL69fTToIpXwyUSJw+uaq+P0409eO44nvn6ekLBTadHh3/+pFu5AGB93O+Kqttzx/CEhiUmnVggVXIY8ARjUSqz7fB18oYiOfK51KbqGvDjeN4LfvH0KQ54Avr9yjqj6TPTvAmEWK+aUobGqEAoFIyRmVVp0WDl/VB8211jw868uxkefDiPMAptfPQa1UiGS/+VmnaROpmQGqcQ6o1ZFfP9tRUYwTOR3lRYdMTDZUGkRfS7VpuzNNrvQ+oUB8L9/PSbYTbPKTcK7xH//B38+iJ3rWwDEt3v7+VcXC8lG/PejKzIpmdFriL2mzkGv8A7q1Ar88ZsXCO1zePttyBMQJQYqmch3ebtr7UW1UCqAFXPK0FBpgVqpiLsvJ+3i6mZbb1yEQIibkI2UjXaxtEUthZJ/JJtoko5qsRNNcplRbJSsuMfba6QkmC172rC9dalgz5xTJvZBxOoZkszetLoJVYU6FBm1ghwsNWnxvR0fi6o88+e84/mD2Hz9QmzadTZpnLABacgTwKDLh21rmqFWMjBolHi3w45OuxcARHqnpkgPvUaFh/56VEhsj0284n0XS2tLhHNEX2s0csj3yd5206RVC8lGwKgd/vQ36PpKboa8AVj0KlHLQotehaF8DhJmASXD4Od/bxf5Jn/+93Y88uVFsp/LFwzjnpfE/ol7XjqMJ2+mLdUokw+WU+C1Iz345ZpzMewJotCgxu/eOYlbSupkP5dDwrf3Gzp3KJOUUIjF8x+fjis0cNWCKmKhgfFi1KiIdls+zx2OUxDlxVN5aqtKtVSrl1jPTHYYhiMmTCgY+ROshjxBYfMyEHmX7nzhEH51k/zt2yiUTBBmGfxhX5dQHEavUeGptzvwn1+cl9JxaMLRJGQsRxSfGNTn9CEU5nDHCweF1jD87j0+6ajP4RcFZgMhDh93D6O+zIT2MyMw6zQoLRjdTRPr0Kwp1uO+KxvR5/QJf+8a8uCRPW0iRfaLN9qxqqkKB047RQ6zMAtitYqnbl5CDKK21JXgmkVVwjVG98nUqRRQKQAOow69ZJx+sdc05AlgToUZCoYh3uOTA+64RKd07Uyf7DscKZRcpt9F7ks64PJnaUT5xYxio9AaI3Y3/OrFVUkfg5fPs8oKsGSGFetX1IHlIlWDehw+6NQKGDVKfOvzdVAqgDkV5KDZ3g47hjxBrGyoAMcBRUYtBtwjqC8ziVpH8d/nk5h8wUhVml/8y2IcPO3Ejg+70TKrDAwDOP1hBMIsLptfiRnFBswqM8HtD2HA7YdJq8JD1y7A0b6Rs3qwQzjHhecUi5KGdGpFXBWb82tL8e+/+1B0LbHyn1ZKyT5SiXXlJi3x2ZCSZkiVIaJtF71aJUqK48/BcaN2wS//ZbGoJPSpATdxHvQ5fRjxBXG014lbWmqFefTRp8PE7/MVmSrMOhztHSFW9eJbDvKtb04NeERzlIdv9adTK9BYPZpU1ePw4fG3IolTfOA61nZTMMDKh98U2UMHYpIFo9vgzJBoL0wiG+1iaYtaCiW/yGYi4UTPrVAwmFtpHnNDjZTvwRMIi6rM2awGdA15iJudomU2ry9O9LsiY2WAd0/ahWPcvnIuOvpdxHMe7XViVVMVHt7dhudal2Lbmmbs6xwEy0XaIdzQbMMTb0cSXXeub0Gf04cgy4muj9c76z5fh9+92yZUNZJKbO9MoZJeMvJ9rArGk73tpt1NXl/Z3TQJRm4KtGr87Vgnvrp0JobcQRQZ1fjtOydxS4v8wfypzIArgE67V+Sb5D9Px7nI/gk6fyiTj0F3AL2OABzeEHyBMJwMg15HAENp0Ad07lDyjcM9DmKhgfqyAiyYbpXtPF5/5tpP5Qr9I37iNfeP5GcswKJXE1tOmtNQ8Sc3UIwmTJxtT/vkOBImksEj0b7Nk8fzh5LfDLj8OD3sx7HeESG+cHrYn3KsNCsJRwzDFAHYDmAGgFMAruc4bojwvTCAg2f/2cVx3BWZGmMuI+WIKi3QEcud80lGW/a0iao2DLhGlSyphPi9V87H4R4H7K4AGqstWD67XHBoDrr9OD3sQ+vT+0TBtFKTRrQg5x2KNmuk5cZLH58WHGZnRsjOy3dODhLbz5w3o0hwxs0oNgo7H/n2Z5tfE3+f3+U+ltNPoWBw6dxybG9dih5HpOJAQ6UFXUMe4j32h1j8/sNutC6rRUOlBf+fvTuPj6O87wf+mb202tUtWYdlS7aQfMkXjgCTn02DBdQhJhhzJWlJQqFq2oCcuEloKEc5msQJdYqBNHGgJNCm2AkBAiEuiU2CaQyJOHwbWwjL2OiyJOtYabXanfn9sZrxHjOr3dXsNfq8Xy+9EuTVzrM78xzzPN/5PnVlOQmbUM70JxyJ0llprvq2jIFBlhQ/k0nApxZXoNBhQ0t7H3wisL3lJO5Yu1DZGnSyrZDkRbT6r6zGmx/0o+npt8KCl77xlwshQMKmn/uzuWxsrNXMrLRpx7tYtHE13vnwbNB2ZYFbR8mvl6Rzf1s9EcDz7d8cCdveo640B8tnSTjWNRz0nnevW4RTZ0fw+J7wQJHSXHvQ5//xTQ3Ydyo44COa7TuZKSX1tIK+qoqcqCpyTho0c9vP3gnLnBBaN2blZ+PB9YuDnm6Tx3aAP9DmjGscT7x+Lg32929YrloPxn0Sbtz2Rtj7iBrbu1UVOXFeqX87HUnyPzn/g8+tQK/Lg9wsC76984gydgodQwaOP+1WExoXlOLj5xUr1ykAzWs3dOy29/0zYfUhcIs3rW1wmBGSiJIllYGEUz323JLIAcxacw/jPglXbt2jPIj05UvrcM8L4X1Vx4BbabND2+ttr7Xh7nWLMOQex//86aSytdqhgmw8+mqr6nhOEPx937FuV9DWaXevW4TtfzqpjOe6h/z9qNUkaG7XHpjxaOXcIjyu8jnf+fAstu5qnVLfIvftva4xfHTWHRSQH/iemR5MnqOR4TEni8856k2CD40LK/B3AfdH9326HhKMuSVIqthtJtVrOsuqX4YJWUmOTfVYJTk23Y9FlGgz8+24edVctHYPQZT8GW5vXjUXFfn6B9BWaIxTyvMyI1iXKJQcsB/IPS6ic8CNZbP1O06xSrZQu9WEIqdx+x3NtQCDbl/q9fnwlcvm4YMzLqUt/spl8+D1GTMoZtDtwZoF5UG76TSvqUvI9s6FDvXt2wodRg3mIqMrdFjx+Yurw+ZNYr2m9b9Lis4/AdglSVIdgF0T/61mVJKk5RM/0z7YSBQltPUMo9c1hs3XLoV94iZXnogym6Ca7nzDilmoyLfjllU1qCrMxsbGWtz5yQUoy7cr7xGaXcE9LuKeFw6ia9CDH73WhuNdwzjZ51LK4hMRtv3Gph3vwmY2Ke8pTyg+8Xob7vjlATy+pw23r6nDrPxstPUMY3jMi42NtcoNR0W+Hc2NtZhb4sTcEifu/OQCPPnFBrzcvDpsYk9eaH25eTX+/cblYZmSNu14Fyd6z5U30nf6ypEu3LjtDXzpv97GjdvewCtHulBV6MCWiQU7+Tve2FiHX759Cv0jHmRbzZhf7p/YTdRiljy5GyiTnnAkSmc2swmbLp8XVMc3XT4PNh3T0053FosJq2pLsH55JVbXFePJL16ItfXlAPxbOl25dQ8+++M3ceXWPdh5qBOiGJ7i1GQScHZkXFnAAs71bf92/XLUz8xVgo0AYEfLKWxsrAs6r1+9bB5++fapiQwvY0pgkPxeD+86jusbZimvl9v6wEWeqkIHvrNhaVA/Weiw4f2eYbx6rBvtvS4UOmzKez7w0mFUFTrw/RuWo7o4W3nvzdcuRVWhI+jz/+3TLVhSma/a3of+t1b7Lxlz++20FzgWeabpoqDxirwAvLKmBDUzcsImjeRx2bGuIbT1DEMUJWUbmsC68ZvDnXjl0Ef47nXL8PCNy/HQdcuw82CHsqB6fcMs/HPINf3E6+/jX69ZElQPHrh6Me5+4YDqGPHFfadx97pFYWMes+nc1jif3LoHn/3xn/APP3sbZpOAhTNzccfahaoZuuT3/quLqpR6tKSyQPku1L6fSGMptfGQvC0boD6G3bTjXZzsc6GtZxh73z+jfMdERBQs8AGcH/71CmxvuhhXLCwLetAn9L5487VLg/qUdUsrVcdqG1b4x1dym63WXj/w0mGMeHy4saEKm3cewcn+ESypzMe3rwme77h73SLk281w2swTW+geCHuf1fNKldfLwawzCxzKVgK3ranFLatq8NTedhQ5bLhtTS2u/dgsvLT/NGYVZqve//+85RSAc5n0fn+sO6Y+xesV8XrrGTz/7ml0DoypzqHI8xaRxhWZwGEzq95fOWzmFJfMeASYle0iAP+1dO+vDkFI2RSvMTltFtz36fqga/q+T9cjx6Z/EJ3m/ISZ55Qyj9cnoXPAjW2vteHR3a340Wtt6Bzw78SgN7NJUK07lgzpO4lCVeRnq84HluscsDfg9uBrV8wPqjtfu2I+htzjuh4nnVg02gurQdsLu9Wi2hbbrcZ8GCA3y6o6N5mbpX8Q0JjXh69eFnwtffWyeRjzGjOYi4zPbDLhmT+fVOZNbl1dg2f+fBJmU2z3IqlqXa4G8ImJ//9TAL8HcEeKypIWJsv2IC/4yAFFDdX5ePKLF2BgdFzJyvPn9r6wxawNK2ahutiBe9Ytwnd2HlG2V7tn3SKM+7z47nVL0do9jMr8bNXoaTnLwsO7juPCOUU43DGETTvexa2razTTxslP5alNKD6y+zisZlPQU30bG+vwmwMd+OSSiqAIunvX1aPQYY2YnahmRs6UMgFpbVsmT+4tmEjF7pMkHD49gGs/NgsmAagry0FVUXRZOuKVbk84JvKzEiVb38gYCuz+ba9cHi+cNgtGxsbRP2LMNKqx0LOuqz1139YzHNN2kVpP9/QOj2HcJwb9W8eAG0/tbVe2MzNNbLkJ+Af/Lo9X9b1mFWTjoeuX4uyIB6Io4VvXLEb1xLZMAPDKkS4c7RyMmFEldNvS1h4X7BYB9316MYbHvCjNzUJpjg2vHusO22rknl8dDNqC7sV9p8Oy2my+dil6Xf7rUy5XaFZDZnUJlox+K9rMEoEZIrQy8swvyw2rG3c8ux+PfOZ83P7MO0Hjpp5hD/pHPJhXGryNYEW+HWsWlGPrrmO4ZVXNxFaDefCJItp7R4PK5B4XYTYBt11ah6f3ngjb1/38qgKIErB55xHl3wDg4V3HlADCBc2rcaxrSLVeVRZmY/vfrkSO3apslxPNOQg9b3IQeOC1Hrgtm1pGsEKHDW+fDM5mFlo/OK4hIiOJt02TH8DRGk+oZVTsdY0F9SlamRmrCrPR3FiLi2uKMa8sD+91Daq213WluTjePYSvXbEAfa4x1MzIwXmlDvzwrz+GM8NjONk3gkd3t6J/xINNl8/D4pn56scrykZ1cTbuWLsQVYUOnOh1YWaBHdc3zIIcH7TnWLc/0Hziq3lx32n/Q1EFjqDshAIEfGX7u5qZ/KIZc4mihF8f7FDGd82NtVFlsMzUbTeHx8b9Y+qA+yuTALg8xl24SpWuQfUtQboNuiVIqnh9IsbGfWi6pAaiBJgEYGzcB5+ofyap/lGP+vzEKLeF0hvvARJvyOMNezD44V3H8aObPqb7sfpGxpBlNgXV0yyzCX2c26MMVV+Rh+9dtxTHu4eVrDS1pTmor8jX9TgOqwU2sxBUd2xmAdkGDUYBgLMafe2AQYOshsfU2+JtCWiL08HA6Ljq+HhgVP/zm2e34beHO/zbt3m8cNj827etrCnS/VhEyTDo9oTt7NG8pg5DMWYIS1UPUiZJUsfE/+8EUKbxOrsgCC0AvAC+I0nS81pvKAhCE4AmAKiqqtKxqJHpcaMSGkykNoEVGBgjLybd/JM/B71+UUVuxMWswMXQ+186jI2Ndci2mrHttTbcurpGNQ2cnDXBPS7C7fUFLYSpvd4kCJhfloudG1fjaOe5BajArdXaeoaDFlof3nUc//nFC/A3E59HPt59Lx3Cf91y0aTfn1aa92gyAU0WrCT/iKKEmfnZQVt/AOGLvZuvXYqZBXYUO7OmfNOqtd2b3jfC0dSdaK5RokySb7ehtduFe148rFzTmy6fh/NKc6N+j1T1O4mUjLoeS5CoKEqYoZHmtzzfjly7dSJlqQ0bVsyCIPhvxj/s9y9Mya9tuqQGC8rzUF3k1Nzq4YFfH1GyxjzTdJFSlraeYWzeeQR3rF2AOz85HxUFDox5ffiwbySoLwvdtnTRzFwc7xrGl/7rraBr7Mn/O4H+EU9Qn9zeO4rKAjteDljMqyp0YEVVIboG3Rj3Sbj7hQNK0LBWcIocuDWn2Jn2k6iJrj96X8tTHe8FBhFrZeT5wV+tUL85do9jXmkOVs8rnVjU9eHfP7MMZbl2DIx6g67pwPeWt7e1W0340U0fU732V51XAqfdjGPdw9h/ejDo3+RFZbUbDnlBeE6xE0Nur+p7f3DGn/nrxh+f28btW9cswYqqAlQVqX9/WuftioVleHliS1+r2YQRjw9zi+3YuXE1uobGwrYvvL5hVlg2s8DAxtDjVBdn44Grl8BqFtK2zsiM2PcQJYtR689U+jytB3ACA8HlIBh5fDHk9mcqfvVoN1bPK0V1kQMbG2uxo+VU0Ba1pwdGsXVXq/+p2s+dj8YFZdj22rn2uiLfjs9fXI2vB6S933ztUqyY2MrzSMdg0CQ5AGz57TFs/9uVqv3O6bOj2HT5fFw2vxSvHOnC5p1H8LkLq5VjVhdn40t/UYv7XjwU1Kc9svs4Zhc6UJaXBUnyB95m28ywWfzfnVa/rRUsH/jdBmY00trCNHTeIh0Xw6OpOzlZVhz6aCgsDftFcznxrrfyPPX7ozKDbgmSKqPjIp74vw+wbmklBMFfh5/4vw/wr+uXxPQ+0dSfgmz1+YnasujnJ2hyoihh93td2H9qQFnIXzIrH2vml6W8nTWSsXGf6n3tWMjvJhNN3XHarPj2znfC2sOf3nxhjKUmSh/jPkkZv8rzKLGIpu5YzAK+9ZujYXVne9PK+Aue5gqybTjaORzU125srEOdQfta97io2haH/s4o8rKtqC7OVsZtgP/hkrzs2DIcRVN/JEnC9Q1VQdu33ffpeoCJ1SlDOW3qGcJiHU8lLDerIAi/EwThoMrP1YGvkyRJgnZVrJYkqQHA5wD8uyAI52kdT5KkbZIkNUiS1DBjxgz9PkgEaltfaG0LE4nWJF/glmBdg24UOmz48qW1+EpjHca8vqDtWzbteBc+EUoacK3tLeS05u5xEXOKnfjOTv/A4tm3TqF5TfA2NM1r/NvKyFudDYyM4yuX1eFrV8xDTpY5bPuNu9ctwjsf9uO3hzvRMeAvr91qCtta7UevteGmldXKVmrucRE9Q+pPaJ0ZnvyJBK00772usUnTnUe7bZna1h9q5+2OZ/fj9++diftaCKS13ZveW4JEU3eiuUaJMonb68OW3x4Luqa3/PYY3DGkvkxFv5Noyajr0ba7ch/77d8cxr9cFZzK/sH1i1FfkY85xU48+rnz8fmL/X2MnCI2P9uKf/rkfFTk2+EeF1FfkY+19eWoLnLgwfWLw7bL+OEf3seGFbNw25pabGysRXneubLIARebdx6FVwS+/ot9+NrP96v2ZYJwrj883jUc9iTJlt8ew51XLsStq2uwveWk0ifbrSYUObOC+hmLxYSaGTkoy7Oj6ekWJZOAfE7a+1yq/WbXoBsv7v9oymOTRIu3/sjby062TZae17Ie473AbVKWVOapZnjIybKo1o2+4THceGFV0DV+ut+N1p5hND/zdlAaX7NJPcvE4Oi46rZpG7e/i3tfOIj/+KsVaG6sxW1ralFd7N9WxiQAHq+oOp4EBHi9InYe6kTzM2+HvXfzGv82NG+f7A/62zufO4BfvnNa8/vTOm8n+0cwp9iJ7iEPbtz2Bj774zfxqUf24HDHED42uzBsHBia+Ul+r+4hd9hxKvLtuLGhCk1Pt6R1nZEZse8hShaj1p/J+jxRlHDizDDebOvF7qNdeL/7XP8ZKRA8UGBf+Dc/acHz757GZy/yj7++/gv/uOjzF/vHRfJCubwdmXtcxG0/ewf52Zag9vr6hllhY6U7nt2PE70ujHh8cHnUFyxHxn1h7b7c79zx7H7s/2gARzsH8bUrFuBnf2pX3uMzF1ShY2AUt672pwkvdNiwdfdxXP+x2Tg7Oo7/e78Xn3rE39ffuG0vbl9Th+ribGRZTFF9R6FCv1u1OZfQDMZ6zTHpLZq64/L4VJ+idnm4tYDeHDaz6lZf3L5OX2Ne/3aP8hj88T1tuLGhCh5fbNd0NPVndFx9fmJ0nPVHTyf7XPioPzjr60f9ozjZx7lNPWluCZUXW1BkNHWnb0R9PaF/hNnBKDMd7hgIe3jqzucO4HDHQNTvEVXdcXnU647LuHVnuo1Vi5021ba4yGlLUYkSK8si4B8+URs0bvuHT9QiyxJbQHE09Wdk3Ke6vfEIx22UofQaTyUsw5EkSZdp/ZsgCF2CIFRIktQhCEIFgG6N9zg98b9tgiD8HsD5AN5PRHnjEc3TgNGIJttDrt2Cz19cHfS0WOj2LT3D7km3t5CjO+1WE7yipLymY8CNp99oxy2rajCvLAc2swnf2XkEAJTjFjpsuPn/zcGjrx5XnhD89xuXw2oWMO6T8O3fnNuyTd4mbWNjHUbHfdjecjJoOw55oVXOBFGq8YRWRRT70wamedfKBKH1dOdUti3TOm9ySvl4roVAel1fepjKtnVE6Wh4TH1rLZd7eg8Mp1rXo3kiO1K7G/j3ziwLTvW5cNmicmRZg1Nkz8i1ob1vBN1DbszIseOBlw4HtZX3v3QYTZfU4KaV1djechLleVlKoOgju4/jtktrMSMnC3nZVvgkMWxLz/nleagq8vcDAgQle5Fa4EVgVqMVswvQdEkN3BEWyd7rGsLje9rQvKYOJpP6YlM058Q5EZwS2m8CCHqaPpV9h95iyeCgZ7+lV38sBy9LohR07gIzPDSvqQvLJuTxSdgSco3f+dwBPHTdMtzQMBuF2Ralfswry1W9Lo53D+PnLafQdEkN6kpz0DM0hjGviM9eWIW60hz8y4uHlHHT5muXwpllwtqH92huofva8R582DeCf991DO29oxhyjytlkCTg6Tfa0T/igS/kwSn3uAhRgub3N9nC92Tb4MoZwqRJskgEHmfDillh49TNO49gQXluxtcZItJXOmaeASK3nXOKndj9XldQIHRg/xlttuDQvnDd0kolU5B8vId3Hcf3rluG491D8ImSku1I/vcPzrhwxcIy/Pr21TjSOQiXxni8e8j//ZoF9bbcaTOjIt+Oxz/fgDc+6FP6Hfl4rx3vwdZdrUFzJoD/qVe1+ZTyfDsOfTQQlH3JPS7irucPYkfTSvSNjEf8jrSui9DvtmPAje0tJ/HkFy8AANVrKJ3mAGI1qrF18ahBF3FSqdflwQ9+3xq0He4Pft+KB65enOqiGUqeXf1J36f+Rv/MKZyfSI7eYQ9cHl9Q5pCNjXXoHfZgTkmqS2ccXlHEfZ+uVxZj5aBIUdI/eLbYqb6eUOQw5oI6Gd9HA+rj+o6BMSydrd9x8iYyxofWnRx7bNlgMolWXzs85k1RiRLLBxGbLp+nBDTLD4WIMGaGoxGPqBoEJN976Wm6XUtkfHqNpxKW4WgSvwLwhYn//wUAL4S+QBCEQkEQsib+fwmA/wfg8FQPHO2T8dGI9mnAyUST7WFEJQI3MGOR/Hp5MUtecAp9T3kBpnlNHUwCgl7TMeDGE6+3wSQIuP+lw7h6eSUeun6pcty/uqgq6Imb9t5RfGX7u8i1W/GV7e8GZV94eNdxrJ5Xiqf2tuO8GU7Vp4Jy7Wbl5u7bvz6CjY3BT/vJGSyiIX9urUwQWhkNAjMOPNN0kbJoFc3EsdZ5C9yGLtZrIZBe15ceos1IQpQpHFaz6jWdbUtVt5geplLXo30iW6vdBRD09zf8aC98E8EL3/zlAWzd1YpHd7fi5y2ncPijoaAn0G9sqAoKUJWDGrbuPo571tXjrNsDUZTQ6xrDuqWVcHtFfHh2FPe/dBgnzoyE9a+bdryLD864sPNQJ95o6w0KJg0k/17uy/79d8dgt5hRln9ukSz0u5Skc334ksp8bG9aGbHf0TonZblZqtn9Dpw6mzZ9h95iyVqkZ7+lZ3/s9Yo43DkYNOaRMzy0944qwd/NjbX47nXL8PQb7fD41NMgH+0awiO7W9E7Mo6ft5zCo7tb8a8q46mNjf6sDx0Dbmzd1YqHXnkPWVYzHt51HFt+ewxf3fGuUofc4/7sEm+1n7uO1L5Hnwh887kDWLe0EgDw0z+2w24x4/E9bXjs1Vb0j3iw+dqleGn/6bC/leuA2vcX6bxFOg+hmSjnloRnvwwM7As8Tq7drDpO7XNNnmWTiKaPdM08A0RuOz8448L+UwOqY50TvS7VbMFqgdChbbDWuOi9riFs3dUalpXDbjXhaOcQXjnShbklTly5uAILyvM0yz2n2Il5ZblhfdrXrpiPD/tHsfbhPegfGVf6ncCt3ORg18A5kw0rZoUFqG/dfRzXN8zCyb4RiJL65+l1eXDvrw6GZSbafO1SJVhe67pQ+243XT4fF1QX4eLzzmVOjvQ9y+XIhHFcXrZV9XzmZSfsOcdpa8TjQ3vvKB571X9/9NirrWjvHcWox5gLSKlydnRctT4Ojo7rfizOTySH26ue3SKWTNc0ORMEJSjytjW1uGVVDX7w+1YI0D9Ie3Tci3vXBWd8u3ddPUa9XPSlzJSXrZ75OseubxZDswm4NySb/L1X1cNi4G6nwKE+Vi1wGDPIqt81jif/70RQW/zk/53AWZcx28dejaxdvQnI2uW0qY/bmG2UMpVe46lUdSHfAXC5IAjHAVw28d8QBKFBEITHJ16zEECLIAj7ALwK4DuSJE0p4EjvSUK9FrOimeTTipqUFzpDX6+1zdjFNYX4/g3Lsb3lJD7sH1FdlDrVP4L+EQ8WlOfBJAjKcWfkZKmWQWs7NEHwBzGZBJPqU0FLZxXgoeuW4TcHOrD/9CCe2tuOpktq8KO//hi2N63E+mWVsMQ4yolngk5tu7RoqH3H8jZ08n9HuhYmC35LpyCfaCeiiTKFM8ui2v45bdN7QnwqdT2WYJBot6l8eNdxzCp0BLXrG1aEb7+xdfdx/NVF5/ZVDgxqON49jL97+m1/+vSz7qCggptWVsNmFlT7jZN9E+XxikHfRyC71YSPVfn7sqf2tmP/6UE8/UY7fD4RRQ5b2DV271X1Sh/hHhcx5PZiSWVBxH5H3jZO3u5qY2MtHv3c+agqcoYFbs0ssGNwzJc2fYfeYunj9ey39OyPD3UM4Ou/2I+n9rYrN/2VBdlB2Q8ee7UVW3e14ljXEPpHPLigukj1+HaLCbesqsHouA93XrkQFfl2dAy48dTedjx84/l46LqlyrUJAF++1H8Nfe2KBdj22vuaQexywB6gvv2LPNZxj4swTxRLzpTZdEkNnvxiA15uXo1PLa7AHWsXqv6t1vdXVejA5muXqp63WM7DZAHlgddHZYFDdZxqNRt4po2IYpbOW0xH6vPa+1yawTRywGY0D+BotcGh/y0/4LQwIJhIHmcDUL4zk0nAksr8iH317MJszCyw40c3fQwPXb8Ut11aC1EU8Y8/3wf3uIjTZ0c0+6jAz2k2aQdInTcjR9n6TX2x3wyPV1ICguXJ+soCu+b4NfAzhn63Vy2dGXGOI53mAGJlNgnYdPm8oPOx6fJ5MKdBFjCjyc+2oLo4WxnbyVvi5uq8GDndaW137MzSf86A8xPJMTau/iCHx8tgPT31jXjg8Z6b4xYEwOOVErLNWbbVgh++Fhzc9MPXWpFtYd2hzFSRl63aH8zMz9b1OINuL374h5C684dWDLqNGYwCAFaTSXWsajUZc+4n22pG/4gnKEC9f8QTNrYxivKJHXQCyQ/s6s1sElTrqYX3PZSh9BpPpWT0JUlSL4BGld+3ALh14v//EcASPY+rd3rqqWzHFShwSzB5K4jQ1NrVRU7YreEprVbXlmDD+ZVhr9d6zzc/6MX9Lx1QFpVmF2XjoeuWwTXmhdNugcNmQp7dipebV2NOsRMnel3KcR0a27cUTewHGvp7OdNPe69L9Yau5UQ/fvD7VjSvqUPPsEd58v6ZpouwbHZhTN+hLFJKeL1T4JtMAi6bX4r/uuUidA26UeiwYctvj6JjwD3ptRDNtjB6XV96iOYaJcokg24PcrIsQdt05WRZMDhmvL2qY2n7oq3rau851S2stP5+xOMNate1FozK8+2oyLejf8SjbJFht5ow5PYH7HYNjoVtNbZ193E8+cULVPsNh80C97ioBFzsPtqJu9ctUp6Ot1tN+Opl8/D93x7D33+iVpk86xhw49TZUexo+RCfuaAK37tuGUbGvOgb8eDsiCfoCfzaKINcPV4pKO37lhuWA/CfL7lP6Bp0w2Gz4I33e8K25ZKfws900W77Aujbb+nZH8vb4MqBRQBw25pazTHe5QtLIUoSNl+7VLl+5WvPbjHh0VePKr+Tr/v+EQ/GfCLueuEgbl1dA5tFwI0NVWFbtclbzGxYMQuCAMwvy1XqkPw1yYFED123DMe6h+ATz21bY7ealOwU7nFRCVb/i3mlMJkEiKKE+WW5+MHnVsBiFnC0YxBP/tFfPrXvTxQlvHKkC1t++x5uWVUDswloqC7Cx2uKAfiznT00sVXPjpZTmu8jkwMb1dqfwOujtVt9G+IRbgFDRAHSeYvpSH2e02bR3JpM7j8jtZeyOcVOfOuaJbjzuQNwj4t4cd9p3HtVvbKtmtw3/exP7fjWNUvwHyHbPT21tx3XfmxW0HemVu6qQgc+OOPCkY7BoPa+eU0dfv7Wh/j6FQuUzzE85sOL+07ju9ctQ2v3EOpKc/HQK/778Yp8OzasmAWzCVhdWwKTIODxPW1h30F5nr/fk8d7oX3lHc/ux+cvrsZTe9uVfttuNeHaFf4Mf5NdF9F8t6Hfc7rMAcQq8Clq+bw/+X8nMLe4PtVFMxxHlhnf/OQCeH1Q5vIWz1wAZxYDjvTk9npV24WxBGTDOev2wGE1B81POKxmDLiNNz+RStXF6nPr8nbqpI+CbCv+/i9qcMblgSgBZgH4+7+oQX62/llEzmoEN50dZd2hzFRd7ERdWU5Qf1BXloNqnceC7vFz2RKDf2/cAMxel0d1rJoJ4+x45NotYfdr915Vj1y7MQMy7VYzHrh6Me5+4aDyeR+4ejGyE5B1SIL/+w2sp7l2C1Kf+5goPnqNp4zZumiQg0LkhRXA/+R26CRhtIuzkSb2Yg1umWwiam6JE/92/XL848/PTTz92/XLccGcoogLx6HvWTYxofbYq62oyLfjix+fg+//7ljQZNYn5hWpBr2cPuvPiCRnlpAjN3MmnsQJ/f1Te/2LvbWlOao3dGNeUVnwvWVVDR57tXXKwUFaE3RVhY5JA3xi5fWK+NWBj3DX8+c6sX+9Zgnu+GQ2ip1ZEcscTfBbugX5xDpZSpTOCrJtOCmNBv1OkiQU2I21z3s0wY2hJqvrWu+5qCI36mAQNVrBJDMLsnH/p+txz8Q+zFqLZif7RvCtaxbjnQ/PKkEXgYFHLo96pkCLWcC2mxrQ0t4HUQJe3Hcad6xdiPL8LDQ31kKUgBy7GRtWzMaPXntfCYRYVJGH7kE3Lplfio/OjuJfr1mMf37O3x9YTQI+c0FVUL9471X1+OEfzi1UbblheVTtaaT+Yk6xM+xcPLh+MZ75U3tYwIYRAkRjXYTTq9/Ssz+uyM8Ou35f3Hc67KZ487VL4fZ68YUn34Z7XER1cTa23dQAnyjinQ/PwmYW8O2dR8MC6JouqUGJ0wazANy6ugbZVhPuunIRbn/mnbDXbmysgzSx9WDg+K2mxB9AGBhI1OcaQ01JDv7pl+eCnu5etwjPv3MS25tWYnTcFzYODr02N1+7FI98djmKNMZIgdd64KLuzo2rcbhjKOi9vnXNEqyoKkBVUWznQW18KR8ntE0py0v/bBJElDyxBL2mglafV5aXhWKnLex+/bsBW4JFO/exoqoATZfUoDI/G6cHRvE/b7YrE/YmAVhelY/LFl4Iswm487lh7D89qPx9YPajGTnh35k0MVH7ypGuoPZeHstt3X0cP7n5AuRk+TO7tPeO4tm3TuGmldVo7fZv41aRb8dNK6uxveVkUKDtttfasOWG5Xj0c+fjtp+9EzSGOH9WAf79xuU43DEIkwnYdtPH0NLeHxRg+/Auf/+6dVdr2NijNFf9ulD7jNGex3SaA4hFocOqzDXJ7FbjblORSoIkoH/EG7aAVJGf/tdJJilx2rG95XDQwuT2lpN45LPn636s/Cwb7vvjYaxbWglBAHwi8J9//AD/dv1y3Y81ncnbLofeT84tMeZic6pIAFweX9BDUxsb6xKyEFuam4XPX1wdtiZRmqN/RguiZDCZBKyZX4aakpyEjgVn5GapjmFLcow1Lx5IfsAudKxanm/c9kLOYiWPY374h1b8+43LU12shHB5vBj1eIOCgEY9Xrg8+mftspkFf8bLoTHld84sC6xmjsUpM2mNp2bEOJ6aVgFHFfl21S+tPGBBIdbFWbWJvXgWeKORZRWCGswsa+T3Ups8DFys27BilhJsBEwe9NLrGkPX4FhQGWYVZmN+aS66htzK7502MxbNzMM/XjEPdosZM3KsYROcgU/Wu8eDt4abSnCQ1gSd3tmtAP+2KHKwkfye//zcAWxvWjnpe0b7hCyDfIgSY8wr4lu/ORp2Y/XTmy9IYan0l4i2T+s9f3376ik9ka0WTHLvVfW46/kD8HglNF1Sg3mluaifmYfZRU7c9fyBsD7FZjbhwrlFmFeWi2NdQ0rg0aOfOx/FDpsSQPTsW6fQMeBGdXE2PjrrDsocs/napbhsfil+9163MkHW3Fir/P/AQIimS2rw6O5WJdDnN82r0TXkxojHh39+7mDQTd3/vNmO7167DBKkmCYMJttGLPRc3PX8QdUAECNI5SKcXv1xfUUeHly/OChY+UuX1GJvaw++f8NyHOkchE8Etvz2PXzmgioUOmzoGHDD45XQ0t6HC+YUYlFFnuZWu+fPLkCvy6NsNyNfm2qvnV3owNd+sS/o+nl413G8dNsqmM3BY86ZhdlYNbcE+X+1Au98eBY+Edj22vu4fU0d6ivyw7aHUWsn7nh2P16O0PZoXetdg2Nh73XncwfwcvNqAEBbz3BUAepa4/MrFpZlbDYJIkqeTM08U1XkxMzCYbR1D+N71y3DqMeLmYXZWDnHnz0ulvvuqiInFpTn4WjnILbu8o+HAoOKPn5eMc4rzYEoSmHfVfOaOmxvOYmNjXXKdpyh7XLgeAs4FyArP5z0x/d7kW0142tXzMdDr7yH9t5RbG85ie9euwzbXmtTsvJ988qF+EZI/yaPVV8OGUMAgCghaMwnfzaZ3L8+03QRZuTYYTYBb37Qi7I8O0wCVB++msqunJk6B+CwmVW/C0cCniqe7lwenxJsBPiv0ftePIQnv2ise9lUW1ieh42N85TMbnLQ+6LyfN2P5RXFsAdWNjbWwScaN9NEKmRyUGcmGR7zKtcycO4+c9tNH9P9WGNeUfVYKww2t0fTSzLGguM+CXesXYDNO89lzb5j7QL4JOPmaHFqjFVzDLp96Zkhj2oWqzNDxswA5/VJqms9T3yhQfdjCYKAb/7yQNix/ufWi3Q/FlEy6DWeMmZrqsEnQvVLu2JRufIaPRZnE7XAKz+NJ7NbTZoLN5GCnuSbq2Nd6ltIdA+5lSCdwAWcmhk58HpFzC7MRueAG+X5dmWRSY687hp0Y9wn4e4XDqC9d1S5If/NgQ7csqoGC8pzcbx7SHlaUP4cF9cUKVvDTfX7UxuUJSIFvrwtSuh7dg64sWx25L9N9ydkiYyuZ9ijWn97ho016E5E26f1nj3D7ilN3gVO/rX3uuAa8+F7rxxFe68/E5X8VPnOjatRU+JQgiEkCUpg0YVzitAwpwiAPwPRx88rRnmeHYc7hnDjj98IW/R64OolaHq6JSwoYk6xI6gfEiX1bdxE6dz/v+v5g3i5eTVW1pTg/e5h1admxrwiVtWWxDShGam/0DoXo+M+rKwpifoYmSRTF+FkFosJ65dV+reM6XUh22bB46+9j9XzSvHVgGsO8I9Zb1lVg1++7c/gsHX3cWzdJeKOtfPhHvepXhdFThv+/r/fDrqmP+wbUX1tVsjvlNf3jyDPbsWSynzk2a0oy8tCVZF/fBb43gBw1/MHsaKqMOx8xNP2aF3rWtnJugbdONo5FPVCudb48uXm1Vx4IKJJpeMiZTTZicKfks5TXtfWM4zNO48oAdIAsHnnESwoz424HWVlQXZQYBAQvkXb2vpyFN98Id78oA9zSpz46OwI1i2txFN723F+VQHmlOSEtcta4y354SR5Pqfpkhps/cz5SnB1r2tM2faoY8CtuVVmz7AbK2tKgj5bW89wWBnU+qLqiYe3QudYHrpuGZ7a2x62fZz8GaeTj866Vb+L2hk5qK9MdemMpdelfi/b5zLWvWw6sIYE4SfqyfU+17hq/WHmHf1l+v1kJnCPi6ptVOjv9DBd5vaI9OawmVX7uGyLcQPFT/SNqPa1C8pzUVOam+ri6c5uM6ve19gN+jDAiMenPkfu0X8r3O6hMfY9ZCha46kzMV7T0yrgqHtIe5H0vFL/jYYei7PJXODtGlR/z8mCduS/0Ur/rRWsZLGYsGx2YVhAjXzDBgBXbt0T9hS6nIJ8aWUePnthNfpHPMrxHly/GBfNKVaejk/E95eIAB+1bVH8aRgnf89MfUKWyChKNVLHluYaK41qItq+SO851ck7+e+7Bt146+RZJdhIVuiw4e2TZ/HwrmNBW2UoabPzspTtnAD/zePA6HhYf7h193Fsb1qpeTOiFlCq9pkDH/wJDNj9oHcYd69bhAdeOhwU5HT3Cwfw5BcvjOn7may/YPBq5rFYTCjJzcLnn/yTcu4umV+quci6YcUs5VoH/E+1P/vWKWVxNfCJa48vfCJ3R8spPLh+SVBWsC03LEdNifqWt+5xEX//338Kem1VkTOm8ZlWOyHAv8Cttiiuda1XFzlV38thM+Pmn/w56gD1ycrPhQcimkw6LVLGklVZq9y9rrGw8VTzmjr/Npoan9FkErCkMn/Se1mTScCM3Cz84PetmuMUtXZZrb03CVCyWcoB36HB1dtbTiqLB3Wl0W/zG1oGtf5V/mxqcyzHu4dUg8yn41jMbjOrfhdGXdRIJa172RkGu5dNtUMdA/j6L/aHfc9VRQ4sm12o67GKnDbV+lPoMO7WNmRcRU6rxsMx+m+xOV3m9oj05hrz4sFfHwmrO08ZODuY02ZR7WsdBs1wZDGpZ2K1TCETazrLz1bve/Ky9e97cu0W1WM5s3jfQ5lpRq5Nl202Ddq8qJMXPwKFTgZF8xo9jhMrh82i+p5a6am1FlUOdwxi34dn4fWKysKO/L7yZJrZFL5Fy6Yd7+LPJ/rwfvcwTpwZxt73z6CtZ1hZ1J3suOfN8C9q7T89iGffPoknvtCAH/71CmxvWon1yyqDtuJIxPen9VmjDfARRQltPcGfW94WJfA9H1y/GPUVk6dXlp/6fLl5NZ5pukh5up5P0xMlR5ZZwP2frg+qv/d/uh5ZBttrd6ptXzLeU619LcuzwzzxNHug6xtm4c7n/Bn0nn7D/1RKc2MtHrpuGerKclBV5FQW4K7cugef/fGb2HP8jGYWIK3+piI/+PfPvnUKGxvrgj7zxsY6/PLtU0F/l20142SfPyPhkHsct6yqwW1ranHLqho8/UY72ntHla3QohWpv1A7F9+6ZglMAsL6Z0ovoedO7XqXF1kFwX/NVuTb8eVLazG7IBs3NMzCzoMdyjXWdEkNVlQVoNiZFfY+/SMeNFQXhF1Dc0vCr5+71y3Cd3YeCRsDnuh1oSzPjuribHz50lrctsb/U12crTo+U7s2NzbW4V9/fRjPv3saLx/owPvdw/B6RaX+n+h14YqFZVGVc8sNy1WDq+QAIjWJGF8SEaWK1gNGJ3pdUb+HzWwKCmiVg7Ktk+wHFu29bGhfUF2cjce/0IATZ1x4s60XzizLpOOtu9ctQrbVrGRIlvvGwLZ7TrETd6xdiCdeb8Oju1vx0CtHw+7TA8eqgWPP0HmWjgE3trecxPamlWGfTW2uY0fLKdyzblHEcbHaWNeICh1W1fFyYQIm+ae7LIsJ/3JV8L3sv1xVjyyjriClSKSs5nqzmID7QuYn7vt0vWEXBcnYSnKy8PW/nB90PX/9L+ejJEf/IKDpMrdH00syxo5nR8ZV+7izI17dj5UuyvKyVMeqZXnGDFDMsVuRa7eg6ZJz84a5dgtysow5NnfYzNh0+byg87vp8nkJ2d65Ii9b9Vgz87N1PxZRMlgEQfX+0hJjvIIxwzc1RJNVRo/MM4nIXuPx+cKetGteU4dxn3o6Uq0ny490DOFrP9+HB9cvxvpllapp4d/8oFd1wLGn9Qwe39OGjY11eGqvf/sa+SlKwD/paRIE1eN+dHY0KF3hnc/5szyobd0W+v1VF2fjgauXoGvQrXy/sQbmTCUFfqSnR9cvq0RdaU7YFnPRlildnpAlmm48ooj8bDOe/OIF6Bkew4ycLAyOjsEj6p/iOZUSsf2Hnu+p1b5esbAMS2blhz2JMa80N6x/EiX/AofNaproh84FzVbk25WAV7Wn3LX66/qK4Cf3+0c8cNrMePwLDTALAkpz7figdzgoW1/zmjo0P/MONjbOQ6HDhuExH554XXu7kVi/c7m/CN0+5YqFZfj17atxpHMQx7qG8L3/fS+of2Yga3oKrUfleXbML88LuxYXVeSia2gML+47rZrVK3A8VlXkH2eqXdNVRc6gbJSywDIIEPDOh/1hmcXkIJ6GqiLcvqYOdz1/UHnvB9cvRlWhQ/Pzzb/dv4Xvkc5B/OZAB9YurlA+Q3VxNv7lqnoc7xpGRUE2Dpw6i4UV+bi4pjhiOeW6e6LXFXUGC4DZJYnIWPTICqyV6XEkirTz0dzLBvZ1fa4xfHTWjVt/2qK0wXd+cgH+9Zol+OfnDijjLYfVjI2NdVhQnosihw1dQ2PoHjy3FfvGxjrUleWEZVMK7SeqCh1YUVWI7iE3ZuTYYTYBb37Qi4p8/1a7gXMND65fHNS33bF2IZZUFoSNodTmWPpHPCidWLxYUJ6rbL0m/60oStj9Xhf2nxqAKPkDjJfMysea+WWGG6PlZVsws8AetDXHzAI78hzTatoxKXqGxvC/Bzvwo5s+hrOucRQ4rfjJ6x9gRi6z4ehpZoF6VvOKKLKax0qEBAESHrpuGVweL5w2C0Y84/DBmAGKZGyzChyomeHAtps+hn7XOAqdVvgkEbMKwu8bp2q6zO3R9BFLFtOpyM3WyNBiN26GllkFDswqzA4aq84qzE5I25QOChwW5Nkt6B4aU36XZ7egwGnMsfnouA/lubagvuesawzucf23VJtd6EBFfvB9T0W+HbNV5keJMoFXlOCwCcH1Z2QMXim2exFjti4aolkk1WMhNRELvMXOLOw+2onvXrcMo2NeOLIs+Okf27B2cbnq69UWVQLTkN/1/EHUleZg2ezCsIlCrWAlSfJPQD686zhuWVWDx15txaYd72LRxtXKpF2hwxa2QPyta5bge//7HjpCngLqc43haOeQ6gAqcGLy9Fk3mp4+NzG5+dqlmFlgR7EzK67vNcY6Mun2dGpbzIUuCE/1/BORvmxmMwbdIjZu/7PStjxw9WKU5xvvxioRwY1TeU+5fex1jSnbK926ugbPvnUKHQNubNrxLl5uXo0188tQOyMHK6oKMeLxKsEUcmr5m1ZWK4ELj0/0cdtbTioBPx0DbmxYMQvf2XkkLGB387VLlXZZq79eVJGr3DhIEvAff2hD/4gHL0+0/XNLnNjetBK7jnbDJ0J58v7hXcfwz1cuRNsZF75/w3J8Z+cRtPeOxh3cENifhC6SBQalfO3n+4L67UhbS1F6CK1HVUVO1WuxqsiJB65eooyFgHPjsZ/efCFm5J4bD4miBJtFQNMlNbCYTKgpccJiEvDBGRfmloSPReQyzCl24sDpsyhy2LCxsRY7Wk4p4zY5iOdk/4iyICuX4a7nD2JFVWHYdSZft+19LvgkCT9vORW0NVxFvh03NlTh7//77aBx6l0vHMCmy+fjqqUzw8bnoW1OrAFEiRifExGlih7b5mq9h8NmhihKurSPgcGuf/3En4L6kG/95ijuunIBfvjXH8PbJ/vhE4H//OMHuHvdIoyOi7jxx28EBLguwdxiB4pzbEoQbehx5PY/8EGlOcXOoEWb5sZabHvtXEB4e+8oHpnYand03Bexb5hT7MTma5fijmf3K+X65toFON41jCKHDY4sS1iw0cHTZ3F2ZBwC/Bmc+kc82NhYh9oZOZhTYqwxWsfZMTy99wQ+//EajHq8yLZZ8NQf21CetxBVRcb6rKk2IzcLq+bNwN89/ZZyLSYqe8h0JomS6lYksc4pRsMsmGC3mpCXbYFXlJCXbYEo+WARmOKIMs/pgRF0Dnhw34uHlLpz71X1OD0wgupiffuD6TS3R9PDZOtQenFaLap9XI5BtxcDgJP9I/jpHz/wj1UD1lfrZ+Ybcu604+wYvvHsgfBt8/7mQswuNN7nLc3NQluPC98IGB/f9+n6hGw53N43orrt7qKKfJxXarzvlowv22rGmBdoCqg/D1y9GNmW2MZTxu1BNET7JN5UF2f1XuCtKnTgMxdW4xu/2DfpU+Xy8eVFlcMdgzjSMaQshgLn0gCHBsoAkYOV5L8VJubf3OMiugbHlNd2DLjx1N52NF1Sg/NnF6C62AmTACULhMxuNcFqNkUcQGlNTN7x7H7csqoGT7zeFnWE91Siw2N9ejT0WHKGJqtZYPARUZpwjXlx9wvBC+d3v3AQ//nFhhSXzNjk9nHzziNh2VrkfqZjwK20r3NKghdjRFHClhuW42jnoOoWILesqsGdzx1A0yU12LqrFYKAoO3X5Cx7lQV2pR3W6q87BtzYuqsVoeSymUwCRjy+oNfIQRRfC+ir7163CDNys3BeSY5qwEekANXQ/iR0kUzuN39684VTznJAqad1LZpMAqxmQfUcS5CCXn+i17+lnxyUF3gtao171MZIodmTtDJgFjps6BkaC7p+Aai+n7w1HICg4CP5s8h1+I5n92NJ5eQTPvEEEDG7JBEZRaIyM8sZG+9Yu1DXJ6m17qk7hzxYUJGH9csr0T3kxrUrKiFJwKce2RMS4HoALzev1gzSUevLHv3c+SjNycLRzkEluF2UEFaO9t5RjI77sLKmJOJnMJkEzCywK2NKp80Mt1cMWqgJzAAdWh55rPvwruNYUVVouIAjl8eLlvYBtLS/E/T7EY9xt+ZIFa8o4Xv/+15QHfne/76H/771ohSXzFg+PDuKp/YG30c+tbcdVUUOLKsq1PVYQ+5x+CQBLe39/mxoZ4A5JU4Mucd1PQ5RMnQNjCnBRoC/jbrvxUN46uYLdQ844tweGY0eWUyj0TsyBofVHJShxWE1o29kbPI/zlC9rjGsWVAetL7avKYOfa4xQ84R9QyNodBhw4YVs5S13GffOoWeIWOe47Mj47j3V8F9z72/OoTtTStRXazvsdp7Xar19GSfiwFHlJFGxn2q46mf3HxBTO8z7QKO0tVkGXFieapcJi+qDLm9YZkP7FYTyjXSAAcu4LT3uvDOh2eDgpXkbEfy/3d5vEHvLS/SPtN0kbL9i9pkqFYK98ABlNYgS160ijbCeyrR4bE+PRp4LHnxOTBDU7xpMJk1iUg/w2Pq7Y/LrX+aTTpHbh9vWVWjGWzwxOttmu2r3D+Ftsnye8h9w7yy3KA9ZwNZTIjq6d/Atr8i347PX1yN2YUODLm9eL97GHNLnGH9g1oQxQMvHcavb1+tesMxWTBsaN+ltkjmHhcx4vFOOcsBpZfQPr8iP7qxiDxuUrsWtcY9amOkh3cdx09uvgAjYz5UTyxeh17vcr34wpN/Csu4pfZ+D123TPn7wOAjWeDvA8eCkcY/DCAioulKz8zMlSoZGzfvPILKAjtGPD5d7j1Dx1UbVsyC2QTMK8tFSU4W5pSca8v3vn8m5oWW0L6s0GHD8a5h3Pazd4IWFEwmROxPJ7vnLnZmKVvmfvnS2qDtcwP7WgBhfaE81n3s1VZDBuFUFzlVv1s5Synpp3d4TLWO9A57NP6C4lGSY0P/iAePvXruARO71YTiHP23rsu1W/Fe17DycIndasKmy+ehmltzUAbq0Wijeob1X+Tm3B4ZjR5ZTKNR7LTjB6+2hmX7uXtdva7HSSc2s0l1Lnp708oUlywxyifm7EKzWJXnGXOuuGNA4wGXgTHVpBtTYbeZVOupzcLMlJSZBke9qvVnaDS2eQvWgDQgLzheuXUPPvvjN3Hl1j3YeagTonguT2+k6ObJLCzLxf1XLw5afL3/6sVYWJan+TfyAs5fzCvFgvI8JUOR3DH98u1TysKSPLEUSB4IyRN2hQ4rtjddjF98aSVebl6NtfXlygBK7e9kWq+RA56i/Q6m8v3JT34Gfn+Rnh4NPJbWgt+JXtekxw0UzTVCRNHLm9irOpDdakKOnXG4iSS3j1rBBmYTJn06X94yQ6tvsFtNWFieh5ebV+MT80rw7zcux+cvrsYTr7fh0d2t+NFrbXj75FmcODMcsQ2V2/7q4mx86ZIaAMDXfrEPf/vUW/jUI/42uKrQEdQ/mE3qn6tnWL2v0QqGlfsItb5L7XNXFcXWT1F6U+vzD3cM4dHPnT/pOZbHTVp1TG3cozVG+uP7vfibn7bgU4/swYv7P8LAqAebr12qlOH6hlnKxIX8N5t2vIuuQfUJZrfXh/s/Xa8ZDBhYhwMXfjn+ISJSJ9+zr6wpUbIvxvMecsbGx15tRceAW3lo5sZtb+jW9gaOq25a6R+Xbd3Viq/9fB8OdwwFvbfWHMCMHDvaeoax9/0zaOsZjjhfsmFFeB+1dfdxeH3+LZLU+tNo+pzAuYFIfW2kB6eMGoQzt8SJRz93Ppoba3HbmlpsbKzFo587H3NLjPdZUy0v26paR3J5L6urinw77gsZu9736XpUaDy8ORUjHh+2/PZYUJu15bfHMDLOoAnKPGV5WaptVFkCtrXh3B4ZTazrUPFaWJaLGy7w76Zyxy8P4Ou/2IcbLqiOuF6Y6bSSH4x4jNnXen1i2P3Qw7uOwyeKk/xlZsp3qI+P87L17w+cVgvuvSp4jHjvVfWG3pKQjE2v8RRrQBqIJvvOVKKbTw2M4rFXjwelAX7s1eNoqNbOjiQLfXJyRo4dZhNwflWB8hQlANUMRlWFDtXMDSuqipQF48nSwE+2vVu038FUvr9Ynx4NPFakSchYnsZP1v69RNPF6LgXzWvqwrb0GvMa8yYjXQQuIKm1yY0LSrGksmDSBTOtvmF7y0lsuWG5snVZzYwcvN89jK9sD24/5W3XFpTnaWacU576L7Bj19Fu1a3M5ABauX/ItlqCXid/Lq2+ZrJUyaF917NvnQrbY13+vHNLnFPKckDpQ6vP//Xtq/HyJOdYrhvvdQ5GPe7RGiP5Jv7TPX5uO9uX9p/GtpsaYDULGB3XmqxRz7g1u9ABZ5Y/ZbfDZsbd6xbhgZcOq9ZheSzI8Q8RUeJFk7Fxqm2vMq7Kt+PGH78R8b215gk+6A3OWBSYFTL0M2jdh3t8IpZW5OPXt69Gz3Bwf9rWMzxpnxM4N9AzPIbH92iP+9T6QpMAZexmRB6vFJShZcsNy1NdJEPivWxyeH3AD37fGjSX+oPft6Kh+kLdjxWaOR4w9iIoGVu2zRw2b7GxsQ7ZWWbdj8X2kIxGjyym0Tg1MIp7QrbPueeFg1GtF2aq0tzkZI9KFwMaGUvOxpixJFPk2iyqfU9ulv4hEIIA/PAPwWPEH/6hFY985nzdj0WUDHqNpxhwlAai2Zs1muCcSO/f3jsalAYYQNRBL2rbVcwpCf47tYHQZItE0QygAl/TNejGuE/C3S8cQMeAO6bvYCrfn9Z3EM2xgMgp26OVrP17iaYLi2DC9paTQQPD7S0n8eDVi1NdNEOT28fNO4+EDWK23LA8qmAjILxvcNjMGPeJWLu4PKwf6R5Sbz9FCZMunslP/WttZSa3wfKP1haiWn3NZMGwoX1X/4gHdWU5qotkALi1lEFo9fk9w24li4UWuW4sqshFdbETdz53YNJrcbLgbvn4ggC0946i6ekWvDyxXYzW1ilq9eCCOUUAgJN9o9i0410UOmxouqQG88tzMSs/G+NieB3m+IeIKPFC+wGtjI1TbXtNJgEjGsGqge+tNk9gEoC1D+/RnFsI+wzC5MHtodvdRtvnyHMDk80xhP7bt65ZghVVBagqMmZQOIOEk8dqMqvey/7r+iWpLpqhdA+pz6X2DLtVt8ueihybRbXNctj0D9AgSrSugTE8tbc9qI16am87FpTnon6mvsfi3B4ZUTK2jp+Ocy1mE1QDUswG3QNIzogZOrbIz7amsFSJMzTmVe17ls8u0P1YLo9PdYzoYqA4ZSiLxv3lgzHeXzLgKA2ELjhW5NtxfcMsjHh8aOsZVhZe4o1uTsber2oDoWgGLtEMoAJfI4oSnvzihTF/B8mKDg89Vp9rDHWlObjj2f1hk5DydnNdg26U5UWfNUlm5AhsokRzZlnwmQuqwm4ynEx9mVBK+1ieiz7XGLY3rcSIxzdpG6j1XtHcgGu1n5I0+c20KEpw2Cyai1ahbbBaIJTHJ+JErytiNhqthapIfZfek9yUPqba55tMAuaU5KCqyInlswsmHfeEXmfZVjOan3kHHQPntl+zW01w2sz48qW1EASgZ2gM5flZ+NY1S8KCmibLuBVv1sh4vgsiIppceD8QW8bGWETbrgcG9ZzodeFo51DY3EKhw4aeoTHlfvqKhWVKJsDyPDvml+eFjbEiBbfH2udMNseQrPmHdDEdF65SpcBhVb2XLXAYcwEpVZI5Ds13WFUXQXlOKRM5syzoH/EELcT6A+gSsK0N5/aI4lKWZ0d1cTbWLa2EMDE8fXHfaUPPtXQMuFUDUs6vKghLrmAE5XlZqmOLsjz9t7dMB2V5dtW+pyxP/2taa4yYiGMRJYPTZlYfT1lje/iBo680ELjgWOiw4fMXV4dtlyKnCo8nunmq2X3ilYib86lEeCcjOlztWCtECUsq84MmGgGobjentbVPqs4hkVGV5NpQWWBH0yU1ECXAJACVBXaU5NlSXTTDS2ZbDETO3hKpTxJFCTsPdWLzziP4m4/PVd3KTK0NlrcMPdo5hJt/8ueIbXy0mf6YuWh60avPj+XaCQ3uvmPtwqDjf3PtAri9Ip543b8A/fieNmxsrMNvDnSg6ZIazCvLxcLyPGU7Q0A741a8WSM5/iEiSpzQfiBRbW8s7bo8Ftu0413curom7CGtz19cjS88+aewsZbcv1QVxbbdbDx9TqQ+bbqN4RgknDy1xTlo63GF3Mtmo7Z4elxryZLMcSjPKRlJWRIXuTm3RxSfqkIHbl9Th7ueP6jU0wfXL0ZVoSPVRUsYrYAUo45Vq4qcqCvLCWof68r8DycaUVWhAw+uX5yUazqZxyJKhpJcG2aGjKdmxjGeEiRJSlARU6ehoUFqaWlJdTFiIme76RkaUybNZHarCS9PMQ21/P7xPF0XSyae0L+LJahmOmnrGcaVW/fEdJ6ncg4nTPriTKw7RPHY/2E/bn/mHeVJDkkCXtp/Go985nwsnV2o9icR6w/rTnoTRQkfnHHhSOcgjnUN4ectp9A/4onYJwW20/Ki1uxCB7KsJtSU5AQFVgQeJ5F9eYZi3xOHePv8eMdskd5n3Cfh0EcDyoSxzG414ZZVNXjs1daEXt86jH8yGfseoviw75miRLa90by3KEo4cPosdh3thigBr73XjbWLK5TteJsba1WzMKVy3sRA4up7OP+TPPs+7Eezyr3s1s+cj2Xq97IUJ69XxKGOAXQMuFGRn436ijxYLJp7r8Td9/CckpGIooQ9rd0YGvXB5fHCabMgN9uM1bWlWv1B3HUnjrk9IqOJa9wWz9pUppuOY9UYxzEZra1nGDf/5E9h/cGTX7xQ65qOu++J41hEae397mH8zU/Dr+n//MKFWrtsqNaflGQ4EgThegD/AmAhgAslSVKd6RMEYS2AhwGYATwuSdJ3klbIBNFaCJKffktUGup4n66bSkeczG3MMk3oea7It2PDilk41jUEAKrf03R7QpIokToH3ap77XYOjmFpispEiSNvQTa3xIlFFXn4+HnFERe4TvS6cKxrCLeursGzb51Cx4Abm3e+BwB4puki1YFW6FP48fblegWMUGaLp8/Xc/IkNNOFVxRVr2k59Xak63uq13TotjpvftDLukFElGBTvfeM1PZP9t5q/dlXL5uHX+//CLesqsHSyjxYLaa0mjchzv8kU8eAxr3sgBvLZqeoUAYkihJeOdKVlIVJnlMyGteYiK/9Yl9Q3UkEzu2RESUjSGQ6boU73caqyRzHpIMujf4gEdd0Mo9FlAzdQ9rXtEbAkapUbal2EMAGAD/SeoEgCGYAjwG4HMApAH8WBOFXkiQdTk4Rp0Ztgg2YfButdEtDfaLXpZQX8A88Nu14FwuijHbmhJ26wPNckW/HTSurlac1jd75E6WD4pws1ba22Mm0y5lsssCGeBa45O3XOgbcEfvj0P4ynr58Oj5tY3TJDCCb6phNi7xNoNo1LSdK1bq+9bqmWTeIiDLHVNvsD86E92ff/90x3HZpLR59tRUvN6+GJMU31qLE4vxPcswsyFa9/ivyef3rSa0t2rTjXcy/fXVME+/RqNQ6pwU8p5R5EnVfqqbYqT63V8S5PcpQXq+I5/edDtuqaf2ySl2Djko15sVLnPpvfZhOptNYNZltcTpI5rp6uq3hE02Vw2ZRvaazreaY3icl+dMkSToiSdJ7k7zsQgCtkiS1SZLkAfAMgKsTX7rJiaKEtp5h7H3/DNp6hiGKUti/7zzUiSu37sFnf/wmrty6BzsPdeJkn3ojf6LXpfytvEe43eo/NYncIzwakaKdKX6B53nDillKsBGgfl0Qkb6G3eP46mXzgtrar142D8Nj4ykumTFN1m/qdQy1vjeWY6ndjG3dfRwbVsyatD8O7C+ffesUmtfUxdyXa90Msj/ITHpck7FI5JhNbXy6sbEOv3z7VMTrW76mCx02fPnSWty6ugbvdQ7iZF9s1zTrBhFR5phqm93e51Ltz6qKsrHtpgZ0DrjRM+TGpsvnpc28CVEy5WZZwq7/TZfPQ67dmuKSGctJjbYo1nFsNCwm4N6r6oPO6b1X1cPKwHrKQF2DbuX+77Y1/p9Chy0hawk+SVKd25OQmHtuokQ71DGgBBsB/n7nrucP4lDHgK7HGfX6sLGxLmyOx+316XocSh2ttrhr0JjruslcV0+3NXyiqTo7MqY6nhoY9cT0PqnKcBSNSgAfBvz3KQAXab1YEIQmAE0AUFVVlbBCRfO0ntYE209vvnDSVIXpltpvOkRrpmL7msDzfKxrKKUpLJNVd4jSiSPLAmeWGU2X1ECUAJMAOLPMcGRF3y2y7kQnWZlJQvveQocNRzsHYbeaMKfYGVXbrhWwsbQyDy83r474HoH9ZceAG0+/0Y6mS2pw/uwCVE/x+EZMyRpt/cnkLeaS/TRRIsdsoePTGTl2mE3A+VUFEceq8gRHaCbH6mInqoqiP5fTqW5Mhn0PUfxYf4Ilqo+dapvtVHm6rro4G+Mi0PR0i9KXfHPtAtx2aS3cXhEmAVhUkZsxY4RMw7qTXs64xpBtDb6Xzbaa0esaw9xpNi5KJGeW+pO+TltsU+nR1J8zrnE8+9ZJfPe6ZRj1eOGwWfDTP7ZhVuH8+D8AUYpU5Nvx+Yur8fCuc/d/GxvrUJ4X231pNHXHYTOrzu3F+kQ+UbroGFAfR8eyxWY0dedU/yie2tuOW1bVQBAASQKe2tuOmhInFlcWTOUjUJrItVtU2+JcezqHBMTPZBJwxcIybG9aGbQdYaz3h9HUn3RbwyeaKj3WSoEEBhwJgvA7AOUq//TPkiS9oPfxJEnaBmAbADQ0NCQsjD2axSOtCbYRjzeqhaB0Su0nR2vKn7m6OBsPXL1EiYTN9IY0lVt0yOcZSG06+GTVHaJ04hMl/HhPG9YtrYQgAKIE/HhPGzZfG/0u76w70UlW0EVg3xvvVpVaARt1ZbkRt2GTF+t+fFMD7nrhANp7R9E/4sGC8jz8xbzSqPuT6RDkK4um/mT6NlrJDpIJHbPp/YSN2vh0Tknkz1GWZ8f1DcGZHAsdNpzodeH3x7qjDgacTnVjMux7iOLH+nNOIvvYqbbZZXlZ2NhYFzQ5/k9rF+KrIePJb+88iltW1eCxV1sBAB8/r1izX8rkAOZ0wLqTXrLMJvzry0fC6tiOppUpLJXxjHl9+ObaBegd8UCUALMAFDls8Phiy/4Q3X2PiKuWVqK1e0g51lVLKyGKotrLidKaT4TShwP+PvvhXcdxxSK1ZSJt0dQd97hPdW7v365fNsVPQZQaFfnqW2yWx7BtajR1pyI/GzbLubGwIAA2ixDTcSi9jXh8qm1xQ3VhikuWGKIo4ZUjXVO+v431vkfinREZgE+U8OCvw+8vf3LzBTG9T8ICjiRJumyKb3EaQGDc7qyJ36VUNItHWhNsVUWJXQhKhMBozT7XGE6fdQc9VRhtox3rBF+yJgTTYS/TRC8QElG4sXEfbmyoCgpIaV5Th7Fxpo7Vm55BF5H6hsC+V2urysna9ljbY7XFus3XLkVlgR1Fzqyo+q7Az1Saa8ejnzsft/3sHfYHSI8+eiqSHSSTzCdsoh2nzSl2Yl5p7pSDATlWIiLSl1YfO//21TivdGp9bKQ2O5r+o6rIibqynKCn60RJUh1PChN/Gql/zfQAZqJQZ4Y9qvWh1xVbynuKbFaBA0c6hrDttTal7dh0+TxUFjh0P1axMwuHQ461sbEORc4s3Y9FlGjdQ+pzQD3D7imPMUK5xryqc3uuMa+uxyFKlvqKPDy4frGyrZrdasKD6xejviJf1+MsLMvFly+twz0vnDvO/VcvxsKyPF2Pk26m00MIw2Ne1bZ42KDtYzLnkHl/SUYzNKreXgyNxtZepHP+tD8DqBMEYS78gUafAfC51BYpusUjrQm2uSVOzC1xZlyqtcBMPH/9xJ9ibrRjbYCT2WCnwxYdTMFHlHx2qyUsIGXr7uP46c0XprhkxqNX0MVkfUNg3ysIiKttj7U9VruZuePZ/Xg5ypsZrc+0c+NqdA6yP0iHPnoqUhEkk4wsmbGM00wmAQsr8qYcDAj4n7YLXHwOfBqPiIhio9XHHukcxNySqY09tMZTAKLqP0wmAWvml6GmJEf5e0lSzwos/z5S/5rpAcxEoRwaW305YtzqiyITJWDLb48FtR1bfnsMjQvKdD+WSyMLwYoqY2YhIGMrzclSbaNKEhBAx7k9MhqLxYT1yypRV5qDzgE3yvPtqK/Ih8Vi0vU4pwZGlWAjwF937nnhIBqqCw07Pp5uQSLVhQ7Vtnh2of6B0+kgmXPIvL8ko8nNtqq2F7nZ1pjeR9+eKkqCIFwjCMIpABcD+LUgCP878fuZgiC8DACSJHkB3AbgfwEcAbBDkqRDqShvIHnxyG71f3Vqk1vyBNvLzavxTNNFeLl5tdJxyQtBK2tKUDMjJ6M6s0iNdiRaDfCJXpcur58KeSE8UCq26Mjk64IoEw2Ojqu2Z4Oj4ykqkXFF029GY7K+IbDvXV1XEnfbHkt7HG+/ONlnEiWwP0D69NHxijQezGSxjtPmlpxrAyIFA052zNt+9g627mrFo7tbsXVXK2772TsJGRsSEU0HWn3ssa4hXdpWtfFULP1H6N8H9iVyWTdfuxSXzi+ZtH+d6niNKN1kW/zZbwLrw8bGOmTpvBg53UXK0qI3l0f9qeIRjzGzEJCxjXp9qm2U26t/RnHO7ZERWSwmLJtdiL9cXIFlswt1DzYCpuf4OJlrjunAbBaw6fJ5QW3xpsvnwWLO7DlJLcmcQ56O9YeMTev+0h5j/5OSx18kSXoOwHMqv/8IwJUB//0ygJeTWLRJRZv9IBlPmCdbvFkqYo0uTWY0KrfoIJqenHaz+lOhWeYUlsqY9MriFk3fIPe9yWrbp5q9KdMz+CSaEfpoI44HY71uA9uAnuExPL6nLeFjSSIiimxOsRPfumYJ7nzuQNAWJE+/0Y6Pn1eckLZ1Km35VMaTyd7ilCjRekfG4LCagzI/Oqxm9I+MpbpohpLMtqO6yKl6rKqizLnvIZKd6h/FU3vbccuqGggCIEnAU3vbUVPixOLKAl2Pxbk9ovhMx/HxdJtX6hhw48n/OxHUFj/5fyewdFY+5pQY7/Mmcw55OtYfMja97i/5+EscMj0bjShKaOsZxt73z6CtZxiiKEX1d/FmqYg1ujSZ0ahGzT5ARJHl2a34+l/OD2rPvv6X85EfY5pAio4e/WYsfUOy2vZ4+sXAPthhs6C6ODuqzzQdsY9OT/GM0+Q24ILqIs06E2l8munZroiI0o3JJGBFVQGaLqnBbWtqccuqGjz9Rjv6RzwJa1un2pbHOp6U+5Ve1xg2X7t0ytk2idJFsdOOF/efRm1pLmYXZKOuNBcv7j+NogRsVzSd6ZWpNxpqWdy23LAcc0vYTlHmqcjPDtr+WpjYDrs8X//xBef2iOKTzD4uXUy3eaWyPLtqW2zUz5vMOeTpWH/I2PS6v+QG39PMVPYqjfepwlijS5Od0cCI2QeIKLJ5M3LRdsYVFLU7IzcL82bkprpopCHWviEZbXus/aJaH/zg+sV4ZPdxtPeO8gZFBfvo9DOVcZpWnQEQcXxqhGxXNLk5NbX46PSpSV8nCSYIkjjp6wBgZuUsnGhrnWrRiAypqsiJBeV5SWtbk9mWh465qouzse2mBljNAsry4su2SZQuFpbl4oYLqvGNX+xT6tL9Vy/GwrK8VBfNUPTK1JtuxyJKtIVlufjypXW454WDCW+jOLdHFJ/p2O9Mt3mlqkIHbl9Th7uePxg0B11V6Eh10RImWXPI07H+kLHpdX8pSFJ02W0ySUNDg9TS0pLqYqSltp5hXLl1T1i6t5ebVye0IRZFCSd6XVE3wLG+nqIy6RfIukPTRRxtYcT6w7qTHJneN2hdd9ubVmJ03JeRnykK7HsMSO+6GE2bnOn1P07Tqu+xZdmx4ZFXJ33d9i+two0/fD2q9/zl7ZfCM+aeatEo87DviVKy29ZkHS9V8x4GMa36nkzE6zttse8hgv7zbYB23WF7SMRxWyym07wS28dJcdxGNEGvsRszHE0zqdqrNNbo0kzMaCAPWLoG3XxqkijNTbd9m40i0/qG0H5B67obHfdhZU1JikpJFDu962I0bfJUj8lxGhFRuGSPrfQ+nlbbzrE+GRmv7+RJ5viRY1UyimS2UWwPieI3HfudTJtXngq2j0QULb3aCwYcTTPyXqWhkWpG3bszWaayVR0RJV9prnpbOCOHbSHpQ61f+PFNDeyDiVQkenzKcRoRkfFEats570FGxus7OZI5fuRYlYwkmW0U5/aI4sN+x/g4XiSiaOk1njLpXTBKb/JepXar/9Qbfa/SZDnR61IGaIA/+m/TjndxoteV4pIRkRqzCdjYWBfUFm5srIOZvSLpRK1fuOuFA9h87VL2wUQhEj0+5Tht+vL6RNiy7FH9WO2OqF43p6Y21R+LiBC5bee8BxkZr+/kSOb4kWNVMpJktlGc2yOKD/sd4+N4kYiipdd4ihmOphmTScDa+nIsaF49LfYqTQS1dJNMUUiUWToG3PjNgQ5897plGPV44bBZ8OPX3sf5VQWYU8I6aySpShGs1i+0946issCOl9kHU4ZJdD1K9PiU47TpSxJ92PCDP0T12u1fWoUbf/j6pK/75e2XTrVYRHGZjtseRDJZ2855j+TjNZocnNdLjmRvC1XosGHDilkQJk7js2+d4liVMlIy2yjO7RHFh3Mkxjcdx4u8FyGKj17jKQYcTUPTaa9SvWmlm1xUkcsUhUQZpCLfjk8uqcA3frFPqcsbG+tQnsc6aySpTBGslbq2yJnFPpgySrLqUSLHp0wlTUSZjtsehJusbee8R3LxGk0uXt+Jl8zxY0W+HZ+/uBoP7zrO+QkyhGS1UZzbI4oP50imh+k0XuS9CFH89BpPMcEkUQy00k36RDBFIVEG8YlQJvMAf11+eNdx+MRJ/pAySipTBDN1LRmFEVJtsz4SUaYzQlusN7bt6YXXKBlNMtsYzk8QxYd1hyg+HEeT0fBehCh+eo2nmOGIKAZa6SZ7ht3TLkUhUSbrHtKuy+eVGj/qf7pIZYrg6Zi6lozJCKm2WR+JKNMZoS3WG9v29MJrlIwmmW0M5yeI4sO6QxQfjqPJaHgvQhQ/vcZTDDgiikGkdJPTKUUhUaZj6tjpIdXnmf0CGUGq65FeWB+JKJMZpS3WG9v29MFrlIwoWW0M6w9RfFh3iOLHcTQZCfsDovjpVX+4pRpRDJhuksgYWJenB55noqljPSIiSj22xZTueI0SxY/1hyg+rDtERASwPyCaCr3qDzMcEcWA6SaJjIF1eXrgeSaaOtYjIqLUY1tM6Y7XKFH8WH+I4sO6Q0REAPsDoqnQq/4w4IgoRkw3SWQMrMvTA88z0dSxHhERpR7bYkp3vEaJ4sf6QxQf1h0iIgLYHxBNhR71h1uqERERERERERERERERERERERFR1FIScCQIwvWCIBwSBEEUBKEhwutOCIJwQBCEdwVBaElmGYmIiIiIiIjiNaemFrYse1Q/c2pqU11cIiIiIiIiIiIiopikaku1gwA2APhRFK+9VJKkMwkuDxEREREREZFuPjp9ChseeTWq1/7y9ksTXBoiIiIiIiIiIiIifaUk4EiSpCMAIAhCKg5PRERERERERERERERERERERERxSsmWajGQALwiCMJbgiA0RXqhIAhNgiC0CILQ0tPTk6TiEWU+1h2i+LDuEMWP9YcoPqw7RPFj/SGKD+sOUfxYf4jiw7pDFB/WHaL4sf4QxS9hAUeCIPxOEISDKj9Xx/A2qyRJWgHgkwC+LAjCJVovlCRpmyRJDZIkNcyYMWPK5SeaLlh3iOLDukMUP9Yfoviw7hDFj/WHKD6sO0TxY/0hig/rDlF8WHeI4sf6QxS/hG2pJknSZTq8x+mJ/+0WBOE5ABcCeG2q70tEREREREQUK69PhC3LHtVrx73jCS4NERERERERERERUeokLOBoqgRBcAIwSZI0NPH/rwBwf4qLZQiiKOFErwtdg26U5dkxp9gJk0lIdbGIiJKKbWFm4/kjOof1gdLVnJpafHT6VFSvzZTgHEn0YcMP/hDVa7d/aVWCS0OUWux/iFKDdc94eE6JiAhIXn/AfoeIiGR69AkpCTgSBOEaAI8AmAHg14IgvCtJ0l8KgjATwOOSJF0JoAzAc4IgyOX8mSRJO1NRXiMRRQk7D3Vi04534R4XYbeasOWG5VhbX84BBRFNG2wLMxvPH9E5rA+Uzj46fQobHnk1qtcyOIcos7D/IUoN1j3j4TklIiIgef0B+x0iIpLp1SeYElhGTZIkPSdJ0ixJkrIkSSqTJOkvJ37/0USwESRJapMkadnET70kSf+airIazYlel3LRAIB7XMSmHe/iRK8rxSUjIkoetoWZjeeP6BzWByIiSgX2P0SpwbpnPDynREQEJK8/YL9DREQyvfqElAQcUep0DbqVi0bmHhfRPeROUYmIiJKPbWFm4/kjOof1gYiIUoH9D1FqsO4ZD88pEREByesP2O8QEZFMrz6BAUfTTFmeHXZr8Gm3W00ozbWnqERERMnHtjCz8fwRncP6QGQMXp8IW5Z90p85NbWpLioRAPY/RKnCumc8PKdERAQkrz9gv0NERDK9+gQGHE0zc4qd2HLDcuXikffim1PsTHHJiIiSh21hZuP5IzqH9YHIGCTRhw2PvDrpz0enT6W6qEQA2P8QpQrrnvHwnBIREZC8/oD9DhERyfTqEyyJKBylL5NJwNr6cixoXo3uITdKc+2YU+yEySSkumhEREnDtjCz8fwRncP6QEREqcD+hyg1WPeMh+eUiIiA5PUH7HeIiEimV5/AgKNpyGQSUDMjBzUzclJdFCKilGFbmNl4/ojOYX2gZJtTUxtVpp1x73gSSjO9yFuvRWNm5SycaGtNcIloOmP/Q5QarHvGw3NKRERA8voD9jtERCTTo09gwBERERERERFF7aPTp7DhkVcnfd32L61KQmmmF0n0YcMP/hDVa3f8w18wOImIiIiIiIiIiIgShgFHRERERERERAYTS3DSL2+/NMGlISIiIiIiIiIiIqNhwBEREREREdE0F+02aQC3SjOiaLdqYyYkIiIiIiIiIiIikjHgiIiIiIiIyIBiDSK68T9ej+q13CrNeKLNhhTLNm2SYIIgibq9DmDAExERERERERERUToRJElKdRl0JwhCD4D2VJdjEiUAzqS6EEk0nT5vun7WM5IkrY30gijrTrp9PpZnculWpkwsT8T6o0O/k27fSTwy/TNkevmB9PwMevQ96fi5QmVCGYHMKCfLeE6i+55EyoTzqCWTyw5kdvn1Krte9z16limVjPAZAGN8jkz4DHr0PZnwOUNlYpmBzCy3Ucts1Dm3aLDMyWHUMhu17rA8kaVbeYD0K1Oy5qvT7XMnw3T7zPy84dj3JAfLE1m6lQeYQv0xZMBRJhAEoUWSpIZUlyNZptPnNfpnTbfPx/JMLt3KxPKkZxmmKtM/Q6aXHzDGZ1CTCZ8rE8oIZEY5WUZjyOTvKJPLDmR2+dOx7OlYplgZ4TMAxvgcRvgM0cjEz5mJZQYys9wsc/ocSy8sc3KwzOlzrGiwPJGlW3mA9CtTssqTbp87GabbZ+bnNcaxosHyRMbyTG4qZTLpXRgiIiIiIiIiIiIiIiIiIiIiIjIuBhwREREREREREREREREREREREVHUGHCUOttSXYAkm06f1+ifNd0+H8szuXQrE8sTLh3KMFWZ/hkyvfyAMT6Dmkz4XJlQRiAzyskyGkMmf0eZXHYgs8ufjmVPxzLFygifATDG5zDCZ4hGJn7OTCwzkJnlZpnT51h6YZmTg2VOn2NFg+WJLN3KA6RfmZJVnnT73Mkw3T4zP68xjhUNlicylmdycZdJkCRJz4IQEREREREREREREREREREREZGBMcMRERERERERERERERERERERERFFjQFHREREREREREREREREREREREQUNQYcERERERERERERERERERERERFR1AwZcLR27VoJAH/4w5/gn0mx7vCHP5o/EbHu8Ic/mj+TYv3hD380fyJi3eEPfzR/JsX6wx/+aP5ExLrDH/5o/kyK9Yc//FH9mRTrDn/4o/kTEesOf/ij+TMp1h/+8EfzR5UhA47OnDmT6iIQZSTWHaL4sO4QxY/1hyg+rDtE8WP9IYoP6w5R/Fh/iOLDukMUH9Ydovix/hDFxpABR0RERERERERERERERERERERElBgMOCIiIiIiIiIiIiIiIiIiIiIioqgx4IiIiIiIiIiIiIiIiIiIiIiIiKLGgCMiIiIiIiIiIiIiIiIiIiIiIoqaJdUFIMpkoijhRK8LXYNulOXZMafYCZNJSHWxiCgKrL/TG88/GQWvZSJ9sC4REVGmYJ9FFB/WHSJKd8lqp9geEsWP9YcoHAOOiOIkihJ2HurEph3vwj0uwm41YcsNy7G2vpydC1GaY/2d3nj+ySh4LRPpg3WJiIgyBfssoviw7hBRuktWO8X2kCh+rD9E6rilGlGcTvS6lE4FANzjIjbteBcnel0pLhkRTYb1d3rj+Sej4LVMpA/WJSIiyhTss4jiw7pDROkuWe0U20Oi+LH+EKljwBFRnLoG3UqnInOPi+gecqeoREQULdbf6Y3nn4yC1zKRPliXiIgoU7DPIooP6w4RpbtktVNsD4nix/pDpI4BR0RxKsuzw24NrkJ2qwmlufYUlYiIosX6O73x/JNR8Fom0gfrEhERZQr2WUTxYd0honSXrHaK7SFR/Fh/iNQx4IgoTnOKndhyw3Klc5H36pxT7ExxyYhoMqy/0xvPPxkFr2UifbAuERFRpmCfRRQf1h0iSnfJaqfYHhLFj/WHSJ0llQcXBOE/AawD0C1J0mKVf/8EgBcAfDDxq19KknR/0gpIFIHJJGBtfTkWNK9G95Abpbl2zCl2wmQSUl00IpoE6+/0xvNPRsFrmUgfrEtERJQp2GcRxYd1h4jSXbLaKbaHRPFj/SFSl9KAIwA/AfAogKcivGaPJEnrklMcotiYTAJqZuSgZkZOqotCRDFi/Z3eeP7JKHgtE+mDdYmIiDIF+yyi+LDuEFG6S1Y7xfaQKH6sP0ThUrqlmiRJrwHoS2UZiIiIiIiIiIiIiIiIiIiIiIgoeikNOIrSxYIg7BME4TeCINRrvUgQhCZBEFoEQWjp6elJZvmIMhrrDlF8WHeI4sf6QxQf1h2i+LH+EMWHdYcofqw/RPFh3SGKD+sOUfxYf4jil+4BR28DqJYkaRmARwA8r/VCSZK2SZLUIElSw4wZM5JVPqKMx7pDFB/WHaL4sf4QxYd1hyh+rD9E8WHdIYof6w9RfFh3iOLDukMUP9YfovildcCRJEmDkiQNT/z/lwFYBUEoSXGxiIiIiIiIiIiIiIiIiIiIiIimrbQOOBIEoVwQBGHi/18If3l7U1sqIiIiIiIiIiIiIiIiIiIiIqLpy5LKgwuC8D8APgGgRBCEUwDuBWAFAEmSfgjgOgB/LwiCF8AogM9IkiSlqLhERERERERERERERERERERERNNeSgOOJEn67CT//iiAR5NUHCIiIiIiIiIiIiIiIiIiIiIimkRab6lGRERERERERERERERERERERETphQFHREREREREREREREREREREREQUNQYcERERERERERERERERERERERFR1BhwREREREREREREREREREREREREUWPAERERERERERERERERERERERERRc2S6gIQkTZRlHCi14WuQTfK8uyYU+yEySSkulhEhsD6NT3xvBOxHlDm4LVKREQUjv2j8fCcEsWHdYeIiAD2B0RToUf9YcARUZoSRQk7D3Vi04534R4XYbeasOWG5VhbX86OkmiKWL+mJ553ItYDyhy8VomIiMKxfzQenlOi+LDuEBERwP6AaCr0qj8MOKKMlekRq5OV/0SvS6ngAOAeF7Fpx7tY0LwaNTNyUlVsIkM40evCf77+Pr573TKMjnnhyLLgP19/HwvKc1m/DECrfU3HdjXT+zLKPHI9KHTYsGHFLAgC8F7nIBZV5GJOiXY94LVKyRZtm52sa5N1gIgoMraTyXGi14XNO4/gllU1ECa+3s07j/BeNoNxfoIoPqw7RBQLjlWNK9njY15LZCR61R8GHBnAdGzcMj1iNZrydw26lQUWmXtcRPeQmzdNRFM0MOrBtR+rwjd+sU+pg/deVY/BUU+qi0ZTFKl9TUS7OpU+ONP7MqOZLuOprkE3Ch023LSyGlt3H1euvepiJ6qK1D8zr1VKhWjabD2vzUhtAOsAEVFkbCeTp9c1hs9dWI3v/+6Y8l1/9bJ56HONca4oQw2MenDtipD5iXWcn0iE6XLPN11wbo+IosWxqrH1usZwY0NV0Dxn85q6hIyPeS2R0ehVf0wJLCMlgdy4Xbl1Dz774zdx5dY92HmoE6IopbpoCaX1xPOJXleKSxadaMpflmeH3RpcRe1WE0pz7UktK5ERiSJw34uHgurgfS8egk+c5A8p7UVqX/VuV6faB2d6X2Yk02k8VZZnx/UNs5SbCMB/7d353AHNa4/XKqVCNG22XtfmZG0A6wARUWRsJ5Mny2xSgo0A/3f9/d8dg83MKd5M5ROB+14KmZ946RC8nJ/Q1XS655suOLdHRNH64Iz6WPWDMxyrGoHNbAqb59y6+zisCRgf81oio9Gr/vBuNMNN10mdSE88Z4Joyj+n2IktNyxXFlrkSNk5xc6klpXIiLTqYFeGtCGkLVL7qne7OtU+ONP7MiOZTuOpOcVOzCvNjena47VKqRBNm63XtTlZG8A6QEQUGdvJ5Dkz7FH9rntdzOiRqc4Mj6me0zPDYykqkTFNp3u+6YJze0QUrfY+l2p7cbKPfYARjHh8qud3xOPT/Vi8lsho9Ko/3FItw03XbbfkJ54DP3smZf+Jpvwmk4C19eVY0Lwa3UNulOYy1S+RXkpys1TrYIkzK4WlIj1Eal/1blen2gdnel9mJNNpPGUyCVhYkRfTtcdrlVIhmjZbr2tzsjaAdYCIKDK2k8njzLKoftcOG6d4M1VFfrbqOa3IZ/3R03S655suOLdHRNFy2jh+MjKte5GyPP3HUryWyGj0qj/McJThpuu2W5me/Sfa8ptMAmpm5GBlTQlqZuQw2IhIJ2V5Wbj3qvqgOnjvVfUoy+ekRKabrH3Vs12dah+c6X2ZkUy38dTcktiuPV6rlCqTtdl6XZuTtQGsA0REkbGdTJ6yvCxsbKwL+q43NtahLI/3spmqviIPD65fHHROH1y/GPUV+SkumbFMt3u+6YBze0QULY6fjC2Z9yK8lsho9Ko/giQZb5/ihoYGqaWlJdXFSAp5/2k5Jax8IaytLzd8cIooSjjR68rY7D8pKP+kbz6d6g5Nb6IoYU9rN4ZGfXB5vHDaLMjNNmN1balWPYxYf1h30kuy2lc9+uBM78uikBF9z3QcT8V67U2DazUdse+Jgh7XZjRtAOtARsmIvocoTcXd97CdTA5RlLD7vS7sPzUAUQJMArB0Vj7WzC/j951aU+p7vF4RhzoG0DngRnm+HfUV+bBY+JywnqbjPV+GiLvuxDG3R2Q0nDOIEsdPxhfjvciU+h5eS2Q0etQf5vjKcFPdHka+iLoG3SjLS97f6kF+4jlRaW8T/fkSXX4i0mYyCbioqhgHOgbQOeiPTF9Skc9BoUHE075G2+aHvu6KhWXYuXE1ugbH4PJ4UV0UW+Q3+4LUCjyf88tysXPjanQOTo9FslivvUiv16o/qR4rkjGpXVdTbUejuaearM6wHhAR+Rnwuca0YjIJuOS8GSjItqFz0I2KPDuWzOS9rFH4qw/PZSLovcU6aUvW+Jdze0QUrek4fppucxHJmmM3mQSsmV+GmpIcjifIMLxeEX0uD84Me2A1mTArPxs2mzmm92DAkQHE25BGerIDQMTOyOhPhRj98xFNdx6PD7862IF7Xjio1PH7r16M9UtnxtyRUuaLts3Xep3NIuC2n70zaVaM6XKDlynY1+tD63usn5mLt9rP4s7nDvD7Jd1Mtd5Gao+nMjmlVa4rFpbhlSNdbGeIyPA4rkoer1fErw58hLueP3cv++D6xVi/rJIZcXSWrPs4r1fE8/tO85wmAR/4Sbxk9gec2yOK33Sbq5xu4yeOzROL4wkyEo/Hh+f3fzTl8VRKW1JBEP5TEIRuQRAOavy7IAjCVkEQWgVB2C8Iwopkl9HITvS6lA4HANzjIjbteBcfnHFh56FOXLl1Dz774zdx5dY92HmoE6IoTfq3J3pdKfksejP65yOa7g58NKB0oIC/jt/zwkEc+GggxSWjVIi2zdd63f5TA5p/K9/gRepTKTXY1+tD63s8cGpQCTYK/D2/X5qKqdTbRLbHWuU61DHAdoaIpgWOq5LnUMeAslgG+L/ru54/iEMdvJfVUzLv4w5rnNPDPKeUgZLZH3Bujyg+03GucrqNnzg2J6Jo6TWeSnXo5k8ArI3w758EUDfx0wTgP5JQpqQRRQltPcPY+/4ZtPUMJ71D7xp0KxeQzD0u4mSfdmckl/lY15Dq33YPuZNWfr2onQet7yYTPx8RhevQqOOdg6zj05FWm9816A7qH7ReF9p9B/YXmsEYp8/q2v+nekyRiYze12tdE3pfK1rfo2vMq1mviID4rsWp1Fu9JtxiuXfoGDB2O0NEJDP6uCqdaPUtnQP8rvWUzIW6jzTOacfAmO7HIkq0ZPYHnNsjI0rG/N50DEaZbuOn6Tg293pF7PuwHzsPdmDfh2fh9YqT/xER6TaeSumWapIkvSYIwpwIL7kawFOSJEkA3hAEoUAQhApJkjqSU8LESYeUdmV5dtitpqALyW41wWGzaC4QHe0cwqYd7+LW1TWqf1uaaw9Kx1iRb4dPBLqHtLdmS2XqRq3zML8sV/PzEVHmK8mxqdbx4hxbCktFqaLVH477JFy5dQ/c4yKqi7PxnQ1LVV8X2m0F9hdaN3i7jnZj667WmLYzBdT7TQApH1OkM62xhtZ5N0Jfn8ztnTTHk1kWzXolilLMWw6mesxI+vJ6RfyxrRct7X0QJeDFfadxx9qFEa9FUZTg9Ulx19tIE27RpsGO9d4h127BxsZa7Gg5hY6Jicx0aGdYn4hIb6W56uOBGTmZP65KNxX52arfdXkev2s9dQ26UeiwYcOKWRAmushn3zqFrsHoxw3RyrOrj5tz7NwSijJPMvsDzu2R0SRrzbBr0I15pTm49ZLzMDrmhSPLgh+/9n5M98aZZrqNn4w856nG6xXxm0MdON49DFECjnQM4mSfC5+sr0jIlnler4hDHQPoGHCjIj8b9RV5htyaj6YHvcZT6V4DKgF8GPDfpyZ+F0YQhCZBEFoEQWjp6elJSuGmItlRxGqR0XOKndhyw3LYrf7LQB7AlOVlKb+T+QORzEqZn33rFJrX1IX9bVWhQ0nHuGnHPvzmYCc+9Yh6asbQ1I03/+RPeL31TMIyPrzfPYwTZ4K/A63zYDZB9buRF3aNJNPqDpEeCh0WPHD14qA6/sDVi1HoiD4Ol3XHOEL7w+ribPzwrz+G/afO4tbVNVhamYcbG6rwT7/cr9r3LZ2VH/S7b1+zBCd6h7Hvw7OYWWBX7VN9E+M397iIzTuP4ODps3j5QAdeePc0Nu3Yp5rOWCvlcaTMhImgx9NWyag/oijhxJlhPP/uadU00VrjoGT19Yl8ai3W7Z1O9rniLova93jPukX45VsfhtWX5jV1uPuFAzFvOTgd031rMULf4/WKeP39M0HBRjc2VGHzziMR262TfS4c6RjA3esWBV1Xm69dGlW9lSfcAgU+MBFNHYjl3mFjYx2+9vP9+NFrbbj5/83BHWvno7mxFj++qQFVhY6ovqtEtBPTuT4Zof4QpUI0dcdsAjZdPi+oHdx0+TyY033WMQMV5Vjw3euWormxFretqcXGxlp897qlKMq1prpohpJrt+Dm/zcHT7zehkd3t+LxPf7+PNce27O70dSfQqcVD64Pnp94cP1iFDl5TinzWMzAvVfVB13P915VD0uM8XPR1J0i59Tn9ojSiR5rhtHUnZkFdty8ai5au4fw4dlRtHYP4eZVc1GRb8xgFAAocFhU+9oCg/a1qZ7zTLajXYM41T+Kba/5x20/eq0Np/pHcbRrMKb3iab+eL0int93GjduewNf+q+3ceO2vXh+32lmVKKMlWdXH0/lxXjfY5jRlyRJ2wBsA4CGhoa0ny3V4wnbaEWKjF5bX44FzavRPeRGaa7/6VZRlPDg+sXKnqZy5ytKklLmjgE3nn6jHbes8i/E1pXlYk6xM2hQtGHFLDy863jYAGlB82rUzMgJem1Fvh03NlSh6ekW3aK31T73xsY6PLW3Hf0jHmy5YTlm5No0U4WpfTdGfPI30+oOkR7GxiXYLAKaLqmBKAEmAbBZBIyNR18FWHeMw2QSlDa/zzWG02fd+NJ/vRXUH8l9idz3mU1A44JSLKksAAC83Lx6om/34V9ePIT23lGl//zRTSvwd0+/rbxf85o6PP1GOwAo/d8N294I+/fAPhPQnnj46c0XpsWYIpY+MtH1Ry7n0c5BbHutTXMskqq+PtFPrcWyvVOhw4a3T57Fnc8diKssJpOAKxaWYdtNDWhp74NPBH702vv4zAVV+M2BDjRdUoOqIgc6J8aOHQNu5drUuqYDr3tA+9oPfd10kOl9jyhK+PXBDtzx7P6gNm97y0msW1qp2W6JooS3T57Flt8dR6HD5r+uCh3oHHSjssAe1bUqT7iF1jv5gYlo6qNW3Qq8d2jvdeGdD8/iqb3tSlajLb89hqZLasIy20Uqd6LaielcnzK9/hClSjR1p2d4DFlmU9D9VZbZhDPDY5hTYuy2Jdn6hscx6vEpY1y71YT7Pl2PvuFxzC5MdemMwz3uw5bfHgvqL7f89hhWVF0Y0/tEU3/GvRLMpuD5CbNJwLiXXRVlns6BMfzwD624ZVUNBAGQJOCHf2hFTckyVBdH3x9EU3fcnqnP7RGlEz3WDKOpO0OjXnQOuIPGEhsb6zA06p3iJ0hfw2Ne2Mwh7YVZgGvMmJ85cK7b6OubANA/Mh62Fv3wruNYXJkf0/tEU38OdQwoa+fyse56/iDqSnOwjINxykA+UUKWNeRe3mqCL8YHE9M94Og0gNkB/z1r4ncZL5kp7SabVJZ/Al//yO7jQTcGj+w+jq2fOT+ozB0DbjzxehteDpicDhwUCQIiDpACX7thxSxs3a0dnKTX5354l/9zPfZqKzbteBfbm1ZqngeTSQj7bojIGFweH+549kBY3X/yixeksFSUSnKbDwB//cSfgvqOo52DQX3fY6+2AgA+fl6xcqNWMyMHQ+5x3PyTP4fdcGz/25V4eeIGL9tqRvMz7yiL0Gr939bd5/qqwEkFrYmHEY83bcYU6UIu562rayKORVLV1yf6e9QaZ1bkh//++oZZSrBRvGU52T+iBI3LHt51HN+7bhmOdw+hZ2gMD71yTCnHZFsOhk6mJTNQnxLrRK9LCTYCgts8swma7daJXpdynXYMuJXAnaZLalDkzIrq2FoTbrHUx0j3cHJ70jXoL18g97gI+T492jqWqHaC9YmIEsFmNuHbO4+GtY/bm1amsFTGNOLx4d5fHQrqH+791SHey+qsf2Rctb/sHxnX/Vgujw/f/CXnJ8gYXB4v2ntHlXkT2YhH/0V9zu2R0SRrzbB/VJ/gjEziGvPhGyrtxVN/E1sgcSaZTuub7nGf6rjNPe7T/VhqD3O6x0V0DrixbLbGHxGlsRGPiG/8Yn9Y+/jTm2NrH9M9ufGvAHxe8FsJYECSpI5UF0oPyUxpF2lSWev18o3Bo7tb8dirrWjvHcWIxzdpmUO3KtDatiD0tZGCk+Kl9bnlvdf9i7STfyYiMp7eYY9q+9Dr8qSoRJQu1PoOUYrcn8k0bzgG/Yu4K2tKsKSyAHesXai8n9mk3v8JQvgxtLYDqipK3zFFqgSWM5pzl2yJ/h61xpn1Fflhv59Xmjvlsmh9nve6hrB1VytGJ27wQ6/NSFtcBYr2dZT+tK4VswloqC7SbLe0/m7eRJbVaMkTbitrSpSgw1jqYzT3cFrXqxTwYFA0dSxR7QTrExElwohHfZJ/xKP/JP901+tSv5ft472srvLsVtX+Ms+u/9YrnJ8gI6kucmrOW+iNdYeMJllrhskMzkgXXYNjqp+5a3AsRSUiPdUUq/c9cxMwN16Rn616rHIDb0lIxtY9pN4+dg/F1j6mNMORIAj/A+ATAEoEQTgF4F4AVgCQJOmHAF4GcCWAVgAjAG5OTUn1N9WUdqIo4USvC12DbpTlRf7bWCOjy/LsqC7OxrqllUpwzov7TqMsz46L5hZHLHPgVgXPvnUKGxvrlGjp0AFS4GvlMukZva31ueXJfrvVFNVnIiLjKcvPUm0fynKjy5JAxqXWd7y47zS+fc0SfDNgy6nN1y5FVaEj6G/lG47Q6yrwhiO0/8+2WoK2/JL/ZkFZLh66bhkkyd/nm0yC5nZAc0ucmFviTEpflswMjVMhl/PZt06heU2dkkUqXQKLE/U9Bo4P55flYufG1egcDL4mQsefkjT1MZj8eQodNmxYMQuCAJgFwG41w241oXFBKT5+XnHYtal1TYeen2hfR+lP69pfUVWIj9cUx3w/s7A8L+hvYrlHmuy9s61mpf2VRXMPp3a9yts6B77/ZHUsUe0E6xMRJYJWm1WWl15jRCOYqZKx0m41oZzfta7K8rLC5jQ3NtahLE//OYOyPM5PkHHMLdGet9Ab5/bIaOQt67c3rUTHgBsV+dmor8jTfX5PDs4IrTuJCM5IF+UafW15Avp1Sr65M3LwyGfPx4HTAxAl/5zk4sr8hGR3qq/Iw/euW4rj3cPKsWpLc1BfYdwMYWRsWu1jrPc9giQZb0/bhoYGqaWlJdXFSBhRlLDzUGfYwH1tfbnq4CPS6wGETcqLooTn951W9qG0W014cP1irF9WCYtl8qRY8kR/95Ab5Xl2+ESgZ1h9Ql5+bZ9rDKfPupUtFiYrYzSDLLXPLU/29494In5nBjXpBzV63SGSuUbH8PKhbtz9wrl27oGrF+PK+lI4s1U70oj1h3UnfcW6+KzVZ142vxRvnOhDS3sffCLwZlsPmhvnw2oWptR/qh3v/qsX47FXj6O9dzSsjw/sY1MRJBvrGAQp6nsCy1nosOH6hlmYV5aLheV5mFuS+sDiOL7HhL1nNH+nVo+Ac+Oz0lw7Tp114fBHQ0GLMpsun4eaGU6smV+mWYZor+lUX/spYri+R+1623ztUnxqcUXE+4xor9N4r+XQv2teU4ftLSdxx9qFUdXL0PetKnTgZP8IuofcmJFjxwe9w7jtZ+/oXjfjNQ3qE+97iOIXV98jihJ2v9eF/afOTfIvmZUfcQxA8RkdHceLBztxz6/O3XPc/+nFuGpxObKz9c++M12FXtMmAVga+ZqOu++JY36CKK3FONaMu+6MjHrw60NdYXXnU/VlcGTbpvgpiJJP7zm3SOO23xzswD/+fJ9ynH+7fhk+ubjCsOM2jp+MLZnz1f7604l//Pm7AfVnOT65eFqtNZOBxDGeUq9UDDjKPG09w7j5J38Ky0D05Bcv1IzYVBvoA1CdEKqdkYMvPBnb+08mmgVfrTJOZaI98D1n5NhhNiHsSf9phBPvRBMOnT6LtjPDyM+2oc81jiKnFQOjHtSU5KC+skDtTwy36JvJog0imkoAhhwMazWbMOLxIdduwZ7jZ+Dy+JBtNSHHZsG3dx4Ne19RlHCoYwCdA26U59tRX5E/abBuYF+VbTWj+Zl34PFKQZlirjm/EnNK0mPP7WRNHkZTBjnYxWzyb2kXeD2k+4K63uVr6xnGlVv3hD2N8HLz6knHb5HKolaPHv3c+fB4pbCgkS2/fQ/tvaNBx//17atxXunUrt14stak0/tPgSH7nsmuN/lcVOT7H1zoHgoP4lGrM5PVgckewjhw+ix2He2GTwR++fYpdAy4o6pDsQQ6RVvf5df3usZgm+iHUn1tpnE9UcP7HqL4MeAoze3/sB+PvnoMf7VyLs66xlHgtOK/3/gAt106D0tnF6a6eIbi9Yo41DEwkWVi0nu7uPueQ6fP4v2eIRQ4spT5ibMjYzhvRq7W/ARRWotx3Bh33fmgZxgHPzobNre3eGYB5iYgqwVRosUxrxPXuM3rFfGbQx1KhhaTANSV5uCT9ZEfBMpkbT3D2H34NJbOLkHXxBzD/pNnsGZRZUKy4FBy6V13AO368373MD71SPix9Jj/JEqFE2eGcbx7CFkWszKeGvP6UFeaq7UepVp/UrqlGsVGHqy3dg/hn9YuxHd2HlGyHzSvqUOfawxzip2qA3qTSUDNjJygxvXEmWEc7xpWtnKRMwAVOWy4saEqaPsR+f2j6XzVnvB95UjXpAu+amVs6xlW/g7w7xu4ace7WBDF4pnWe6bLgi0RpY7b64NXBFra+/0T4meAOSVOjHmNu1d1uol34TKWIKITva64+hB5+7KjnUNKhpzPX1wdlk6/0OGP8N6wYhaOdg6isiAbSyrzsWx2IZZU+j/fn9v7Jv18gX3V3vfPwOOVcNPK6qB+uLrYiaqi9FjcVetbkymWDIapLOdk9C5f16BbY79l96THiFSWE70ubN55BLesqlEC0du6h7Hld8eD6tYdz+7HLatq8NirrUHH7xgYAXAuaCTWIIVEZnlJxvuTttDnXkIzk4W2u/J50bqe1epAocOGnqExdA264bBZsHnnEc0+YcTjw9ZdrUF/H1qH1PquaPqaWOq71jV50VztLecSjfWEiCZzss+Fj/pHg373Uf8oTva5OAejswG3B5cuqMDfPf2W0ibfe1U9Bt3jqS6aoYiiFNVcph5Gx31weSR849ngc+oe5/wEZZ5kBqCeHfWozu2dHfXoehyiZJnKvE4sDn00gK//Yn9YwERVoQPLqowZvDw8No5cRzY+/+SflL72vk/XwzVm3PFTcOC0f3s+owaUJavuAEB7n0v1WCf7XAw4oow05B7H8JgPB04PBo2nhmK8vzRm62JA8iTvlVv3oOnpt/HVHe/ixoYqVOTb4R4XsXX3cditZuU1n/3xm7hy6x7sPNQJUVTPYtU1OKZM4gP+RvHhXcf9k+27g3+/dfdxWM0miKKEtp5h7H3/DNp6hsPeO7Ccchl+fbBDdXL/RK9r0s8dqaMgIoqXKAGdA25se60Nj+5uxY9ea0PngBs+4yX9S0tqfUWk/iqQ1sKuWp+i1Yd0Dboj9mWhx9mwYpZqf/lXF1XhppXVeOL1Nmzd1Yobt+3FzkOd8HrFuD9fWZ4d1zfMCuuH73zuQFT95nSgdg08vOs4NqyYFfF6mGwME+1r0lVZnh12a/DQ3m41oTTXPqX37XWN4Y/9/lEAAQAASURBVMaGKjzxur+9fHxPG5x2qxJwJ3OPizCH3FlUF2ejvW8Un3ok9rogi6XOxyPR70/BIrX/k7W7k52X0DpQkW/H5y+uxhee/BM+++M3ceO2vcr9kyzwvmKyOqRV9l7XWNT3K9G0Mel4TcZTpkxuT4kodr3DHrg8vqD7K5fHh95hLvrqLctiwX0vHgpqk+978RBsFnOKS2YsyeyPx32S6jn1cIKCMlB7r0t5wFnuD453DaM9AXXHK0qqc3tejjspQyVqXifU6YFR1XvY0wOjGn+R+cbGRdz7q+C+NvC/jcbrFfH8vtO4cdsb+NJ/vY0bt+3F8/tOw+s15uctzVWvOzNy9K07AOC0WVSP5bAxvwtlJrdXVB1PuWNsLxhwlCHUbnS37vYvrsn/7Rrzqd4M//lEn+okr8vjVR1YuMZ8mr+fbAFVrZx3PLsf65ZWhr1f95B70onoZA2y1KTrJHm6losok4x6fKoBJKMePkGol0htldbk7QdnXJO2b5MFogYe16FxAzDuk1T7ssC/PdF77mkFQYDqMWfkZIUFBm3a8S7e/rA/7snpOcVOzCvNZbBtBFrXgJx9R+27mizIzesVcfD0WfzynVOar0n3/ndOsRNbbliuXPPyU9jyFrWxkj+vJCLsOn/gpcO4vmFW0OvtVhMaqouCjn/H2oV44KXDU1qoSXTwOYPbkyvS4l3gudBqdyOdl9A6cH1DeNBS4P0TcK5P2PfhWczKzw76++ribGy7qQGdA27s+/AsWtr7VMtuM5s071eC+pUzw1EFo6bjNRlrmaYSWExEmcntVb+/cjODrO56htQDXXuGxlJUImNKZn/c5/KoHqvPxYA9yjwfDYyq9gcfJSCQgXN7ZDRzip149HPno7mxFretqcXGxlo8+rnz457X0VKck6V6D1vizNL1OOmkS2P81GXQ8dOhjgHc9fzBoPbxrucP4lDHQIpLlhhmE7CxsS5oTnJjY13Yg5F6KM3NUj1Waa5x6w8Zm17jKYbcZYjJFtfsVpNmANGe1jN4fE9bWOrf6iIn7FZTWOrEklyb6u9tFtOk2wVolTO0YZejSydLzS8vHIS+Ru9BVii1bQM2X7sUMwvsKHZmxbwdSCLLxe0MiGI3Oq4eWOn2GDPKP9kma6u0+oojnYP42s/3RWzf5EDU0D5KXtgNPG51cTYeXL9YucGyW014cP0SHO0YQKHDho4Bt9KXzb99Nd7rGlL+dmNjbdBx1I7pzLKofo6Pzk5ta6uFFXman5G0rwF5eya17yrSlkdVhQ48v+80TvaNKNvMhr5mTrEz7ftfk0nA2vpyLGheje4hN0pzJ9++TGtrw8C69A+fqFW9nmtKcpTzIH8fH68pxk9vvhB7Ws9AkoDW7mH1CZ3B6FMaR6rzekj0+1Mwrfb/eNcwKgrsk7a7kc5LaB0Y8aj39fJ9iTwp9I1f7Ef/iAcPrl+MTy+ZiZebV6PPNYbTZ91oerpFucYfuHqx6vuNeHyq9ytVhY6gdqO5sRbbXmtDocOGDStmQRCA9zoHsagieE/0dLwmYy1TvFuaElHmGhsXVdvIsXHeX+mtyKk+Z1fktEX4K4qV/KR86PeciCflS3Kz1Odnc7hwRZlnyK2+PjHs1j8IiHN7ZEQer6TMTcn3lnpzWs2496p6JbuevJVnts242RIrNO5py/OMOfejNTfdMeDGstkpKlQCdQy48dTedtyyqgaCAEgS8NTedpxfVaD79s4mE1Ceb0fTJTUQJcAk+P/bxPQulKH0Gk8x4ChDyFka5JNeke/fcqUyPxsbG2uxZFa+ZgDR/LJc3Lq6Bpt3HsGC8lxlknduSXgwz3evXYoRzzia19QpT7PbrSY0r6nDoFv9iZvABVStyegF5ecWT/0LvothEjDpRHQ8i2d60MrUdMuqGjzxenjwVrJw8p5IHzNyslBdnI11SyuVwM0X951GcS4nafUQqa2aU+yEw2ZGc2MtRAl49q1T6Bhww2414VjX0KTtW6RA1NDjerwSRsa8+MZfzkdpnh2QgFNnR/A/fzqJm1ZW4+k32pWgo7YzwzjaOYhbV9fg2bdOYUfLKWxsrMPDu47j2bfO/f/AY5bnqU8MFzmtU1osVuufkxFsmynUroE7P7kAg24vmhtr8bGqQgyMetDWM6yMGSI9oTzkHsddzx/EratrIj7FnAn9r8kkoGZGTlRlihQYGFiXPD5R9XruGBjFlhuWo7V7GF5RxKKKXFgsJszIzcLje/yTY7etqVX923GfP6NYNOOoSHVeK2AqFqkKbp+utO4V2s4Mw2IGHrh6Me5+4aBmuzvZeQmsA209w6rHalxQiiWV+ThwegBP7fX3AwBw1/MHUVeag2WzCwEAf/3En4Lq/Kn+EdX3K8uz46K5xWH3K6F9kigBhQ4bblpZHXSfVV3sRFXRuWu3qtCBbTc1oKW9D6LkH5/csXZhSq/JWOtJpDY3ndpMItJPocb4t9BhTWGpjMluNeHbG5bggzMuiBJgFoA5Jc6wTAU0NSYBuPOTC3DG5VG+52KnDYmYBswyC/jOhiVoCzinc0ucyLKkx4MNRLGYkaM+T1Kco/98m+bcXgKORZQMyVr76R8dw4wcG7bd9DH0j4yj0GGFxytiYNSY2X4AYMnMfNx/9WLc88K5h1Lvv3oxls7MT3XREqI4Z3oFqJfm2mELGDcJAmCzCAkJFO8cGMO//+6Y0vf4RODff3cM3712GaqLOd9BmUevtVIGHGUIj8+nBAEVOmz4/MXVYRPw1UWOsIngjY11+NbLR9A/4kHzmjr0ucZUg3m6Bt0Y90m4+4UDuGpZJV7cdzooGnR7y0ls/cz5qkFPIx6fsqinNhndvKYOP/x9K25ZVQOzCagtzcW/vXIU915VH9VEdCyLZ3qJlFEqlYuMnLwn0ofdasKXL60Lu8nI5iStLrTaqj7XGI52DoX1EdtbTmJj4zx873/fC/sbtT5BKxA19LgbVszCE//3AZouOS8oc5J8zA0rZuGxV1tht5pw4PQAtu5qVf796Tfa8dTedvz05gshQUJFvh0frylGx6AbFfl21Ffk49TZkbAF8Y2NdThxxhUWuBtLAEOqgm0zRej3U5Zrx4HTA/jWb46GneM71i7E2vryiNk5AgPdtF5jxP430kRW4Od99q1TqoHoT+1tR/+IB7esqsFjr7bi4+cVY05JTlCwhMNmxqbL52HLb48F/e3dLxzAk1+8MKrvTqs+ANAl6xTrW3Kp3St89bJ5sFtM+PLP3kGhw4amS2owrywX9RV5uGJROXqG4zsvWkEySyoL8MrhTmzd1Rr0eve4f8/yZbPV+7EdLadw97pFyjaBgW176P2KKEroGRrDratrAPjrEeDf5i10i8I7nzuAZbMKcF5pDkRRwitHusKyrF6xsCyl12Ss9SQdszQRUWKNecWwPn/T5fMw5mOWCb2ZTQJ8YnD2gwfXL4aZYxddneofwei4GPQ9f/WyeTh9dgRzdR7/W0wmeFXOqYWPylMGGhkfx79cVY9/Ccic8i9X1cM9Pq77sZxZ6nN7OXbWHcpMyZp7ys2y4UhHX9i47cI5RbodI93YbGasXzoTNSVO5aG1pTPzYTNoVieXx6uaxcrl8aa6aAlhNgFf+ovasM+biC3VXB4vPN5z28ULwsRDzwb9bsn4NMdTWbFVIAYcZYhiZxa2t5zELatqsKA8F1//xb6wBaKXm1crE8Hv9wyHPbW7dfdxbG9aGfS+8uQ4AFy5dQ/c4yKefetU2JO3W25YjvqKfGXSXivoaW19uVKGY11DOHB6UMkgsf/0IADgtjW1aO8dhTPLknYT0fKT8iZBiLhdS6oWGTl5T6SPIbdP6UABf52+54WD+OnNF6a4ZMag1VZZzeFbc8p9U362Ff0jnqD30WrftAJRQ48rCMC6pZXK4nDgMeWgWjlI6Km97WH//sTrbZiRm4WqQgd+fbADdzy7P6jPu2JhGerKcoJSqDqsZvzHH9oAAE2X1OD82QWongjIjTUIItnBtpkkNIvJNybODRB8DgMza2ll5xhye2G3mlQDawIDxbT6Xz2y7KRCpImswLrUMeDG02+046HrluFo1xAkCcrYDoBSj+TvIjRY4t+uX4avXTEPZ0e9QX8byzhKrT609Qzr9uQf61vyyIErxQFb74mShG/vPKpcb3Lw58vNq3FeaQ7OK43vvKgFyVQVOnCi16W5HU15vr/PUevH+kc8GBwdn7RtV8se1rymDjsPduDmVXNV693JPhfOK83RzLK6pDI/5ddnLPWEmcOIpp+zI+N48v9OBD249uT/ncC9Vy1KddEMxydKypbRgL+vuOv5g/ifv70oxSUzFqvFhO//7ljQ9/z93x3DT26+QPdjuTxe1XP60wQciyjR8uxZePit4/judcsw6vEi22bBU39sw93r6nU/1tkRr8bcHusOZaZkrf24vaISbAT4686W3x4z/Ly4zWZGg4GDqgLl263oGXTjoeuWweXxwmmzYMQzjvwsY2YfPX12VAk2AvzX9H0vHsITX2jQfUu1ucXOsLXxjY11nO+gjNXnUh9PPfnF2MZTDDjKEHOKnbhj7UJs2vFuxC0/5EngrkG36lO7Ix71/ZIDF53khaVbVtVgaWUe6spylcl0edK+Z2gMX3jyT5qLPPJE9Fe2vxs2QJKkie0HcrOCJqKri7PxwNVL0DXoVj5zMhbsAhcKvT4Jd71wAB6vFJa1Qs54IX+OVAT5cPKeSB99LvUtIkMDXig+Wm3ViEd9P9gRjw85WVY8dN0yHO8ewo6WU+gf8cTcvs0pdmLztUuVwCCzAEgTmelCj2k2Af/vvBKsri3BV7a/qwRPBP77lhuWo6rQgT+29SrvKf+7HOi7Zn4ZakpygjIFylvELSjPw1/MK01YX5apgS56mywroTw+0srOUV+RhwfXL8Zdzx/E02+0o+mSGpw3Iwf1FXmomZEDk0nQvKarCh3YeagTm3cewbqllTCbgAuqi3BxTTEslvR+qjLSRFbo5+0f8SA/26pslRb4epMAzW0N3eMi/vHn+9B0SQ0e3d0adpypmOzJP9aP9GUyCWFb70XzFGe051TtdXOKnfjgjAs7D3XiePcQ9n94NuxpvwfXL0Z9hT+dulbW1mf+7M+cFqltV6sHW3cfR9MlNZpbTDhs/ttyo2RTY+YwoulnZn626jYGFXl8OEpv/a5x9XtZl/7ZQ6azwVGv6vc8OKr/0+t9Gue0b4TnlDLPwrJc3HBBNb7xi3NZpu+/ejEWluXpfizWHTKaZK39jHjU+zijZ2jxekUc6hhAx4AbFfnZqK/IS/u5u3hZzALu+dXhsLmHHX+3MsJfZa4ht/o1PexWXw+fClGCsm4sH+fhXcdxxaJy3Y9FlAy9Gmulfa7Y1koZcJQhAidte4fHVBd8Avej1FpEKtOY7FF7vdnkf6IntBxyQJPaBXhs4sl3swnodY0FLfwGbnGy5YblqCpyoqrIiQXNq9HnGsPps240Pd0SljEpkRPTWk8gy1vpyE8wm02moEXkeAd6U1384uQ9kT4KHOoZ1vLs7Bb1oNVWneh1qX7v4z4Jn3pkj9IOf+uaJVhRVYCqIn/7Ftp2VhU6cLJ/RLUtLXBY8P0bluNI5yDsVjPmljhVj9lQXYQL5hThRK9LNbNS44JSLKkswIleF1ra+yYN9JUDHJ784oXoc43BajZhxOPDiV5XQtpptf4rGf1mOtIa88gBznJgi1Z2DovFhPXLKlFXmoPOATfKJ7bMC5x0iHRNb955BDc2VAVlRtp87VJctXRm1OcimcEx8rHUxmmB20OpZYbZcsPyoOCqZbMK0HF2RFlg1BofzivLVc6RXhNmWue9PM+OE2eG8fbJs7jzuQPTvn6kq8CJVEA9g1h5nh1tPcPomtjK8nDH0KRtnlrb+OjnzsfYuIR//HnwNm6vHOzAQ9ctg8kEVBZkB9X70K2nc+0WjHp8WFCRi+oi9WtXrluB2zTK3OMizp9dgMqCbNWtOMvysgAYK5spM4cRTS8FTgtuu7QOdwekYX/g6sUozDHmU9SppJUt3JnFe1k9lefZUV2cjXVLKyFMDDVe3Hda6bP1pDU/kc/5CcpApwZG8bvDH+FHN30M/a5xFDqt+O83PkBDdaHu40LWHTIim0UIyqQeGNCtl+oi9bnSKo17XSPwekU8v++0klFQfuho/bJKQwYducbUH/p1jekfgJMOSvPUH+6akWvT/VjdQ+pznz3D7rgzdBOl0sx87Tn2WHD0lUHkSVuTgLCJ6rvXLcJHAyMQBChP8cYSDR34+kjbpckT+lqT4QdOD+Ir299VtqexWQRsu6kBVrMAh82McZ+ItYvLlcUsr1fEkHscoxPbBWhlTEoUrSeQb1lVg1++fQo+ERjzilhQ7sR/fuFC9Ay7MSPHDrMJePOD3pgWBSMtDstliWahkZP3RFOXbTWrLvg5DLpvcyqotVVqfdPma5fi7hcOhDwVcAxbP3M+3vygF7l2C451DQcFDjy4fjEe2X0c7b2jQW3pyT4X3mo/C4vJhLrSXJw+O4JhtwffvmYJvhnw95uvXYqP1xRHzFxTX5GvLBwvLM9VnWwODPSVP3NVoQMHTg+EBXHoHeig1n8lo99MR1qZSOQA5znFzqAgG9tEMFhgf2uxmLBsdiGWzdY+TuA1HRhY8LUrFuChV44GnYtYtkBSGx88uH4xFpTnYkFZHkwmIeqAu1iOVeiw4eaPV2PbTR+DT5RQVeTE3JJz76VWh69YWIaxcV9QfWpeU4cfv3QYNSU5muPDheV5eFnnYGm18/7o587H4Y4hHO0cxLbX2lg/0pgc0DP/9tXoGBhBTcmSoHZePpfy+W1urFU9p5VNK7GkskC5ntTaxv2nBsL+9vu/O4bbLq3Fbf/zDp5pugjLZhdqllWSgN5hD+751cGwfkc+bmDdunV1jWo9KHLaMLvQEbYVZ11ZjjKxq3Zdf/uaJTjRO4zhMS9ysyzoVKn7zOhFRKnWOTCmBBsB/rb27hcO4um/uRBVRex79ZSTpX4v68zivayeCpwWfPkTtbjnV+eyId7/6XoUOvUPouP8BBlJr2sMH6suwd89/VZQsH+fa0z3ezHWHTKaE70uPPDSYWX+UZSABybmW/SsP3NLnPi365fhH39+LhPZv12/DHNLjBtwdOijAdXtS+tm5GBZlfZ8QKYq0ciuXJKjf+B0OjBDwH2frse9AeO2+z5dD7Og/7xIaa763GfoOgFRpjCbBNXxlMUcW/1hwFEG6hhw46m9/i3Psiwm1JbmYPPOI2ET4LFkwolmu7T5t69WIjSrCh3K9iOhmYHkFHK3rKrBY6+2ounpFrwcsMAjT4gPjHrQ2u3C3S8cnHSbOL0FLhTeuroGz751StlOxz0uItduxk0rq4OyFWy5YTmuWFiGV450xZVRQmtxeP7tq/Fe1+RPbBORfnqGPUo7Kgj+xcSn9rajllHoCaWWNaXXNYb23lHlNRX5dtzYUIUbt72huch81/MHlT4msC3dd+qs8lq71YRvrl2AXpcXP/vT+7hlVQ3MJqChuggfD9juSq1Ms/Kz8euDHUrQUEN1fthk832froc1ZBQlipLm9muBfagejLLtjh5CM5GEBjgDULY9C81EFE9/Gyk7YuBYItpzoTY+uOv5g2i6pAZHO4cwI9eGv3v67UkD7qL5DPKxCh023LSyGlt+F/xdTDa5dLJ/RAk2kssqB2p3D7lx4Zxi1QA+OZBJ72tzUUUufnrzhRjxeJWAjU89sifp40qKj8kk4LzSHJxX6g/iWz67QGmHJQlK5jvAP9Gqdk53He3G6bNupQ6otY1afytvbxaYPSgwOPGjs+6wTK1yPQ8NYAusx8++dQrNa+qC2prmNXVofuYd3LF2Ia5Y6N+KU+0eLbQ9c4/78C8vHlLqu/xQh7ztqPzgAjPeEVGqDY6qb2szMMptbfQ2Ou6D02YOCl512sxwjxvzifVU6R4cU+7/AP/1fM+vDuG/btE/iI7zE2QkWWYTvv+7Y2HB/jua9N/Gh3WHjKbXNRY2b9W8pk73gD2PxwefKAWNJXyiBI/HB7tBM4R1aMyjdg66sSxFZUok15hXNYDANWbMbfN6Rzz47zfa8d3rlmHU40W2zYLHX3sfX718nu7HUksIsrGxDpx+oUzVNTimPp6Ksd8xZu9hcGV5dvSPePDYq6348qW1ETMcxJIJR14IOtHrUu18T/a5lMXSk/0jeGRigamqKBsn+0bDFtrk4NHABZ7ARbrvXrcs6Am4ZG0fMNlCod1qwswCh7LXtPwZNu14F9ubVsadUUJrcfhkH7NUECVbTpZFaUdldqsJOUxDn3BqWVMC2/8NK2YpN9aA9kJx4AMKclt6Z0ggRO+IRwlAks+13WoKCoINLZMoSni99UxQ0NBFNTPCJpvv/dUhPHXzhTjdfy6bRKTt1450DgZlj5kqI227o4dI2f/aeoaxace7uGVVTdC1FW9/Gyk7YuB1Fu250BofiBJw1/MH8dB1y6IKuIsmoE0+Vmg9i/a70Cqr2eR/widZW796vSL+2NaLlvY+iJI/49gdaxei0GFN+riS9BFah/e+fybsWlM7pz4RQdeu2pNmZkH9b51ZlqAMsIHXVV1pLrb89j3Neh4awBZYNzoG3Hj6Df+NenVRNtoD7pM27XhX6YO06pr8XQy5x3HzT/4cVIbAhzrkzw2A9xJElHJ52VaNLau5pZre+lwe/Mcf2rBhxSwIAuATgf/4Qxvu+3R9qotmKH0u9SC6Ppf+QXScnyAj6XV5VOtOr8uj8RfxY90ho7GZTWFzNVt3H8d2nQP2DnQM4BsB856Av+5U/M2FuGBusa7HShdFTpvqWLXQof+WW+ng1NlR1QCC2UUOLDdgRqfqIicG3ON4r3NIWTMYcI8nZJvAD864VL/b+WW5mMs5GMpAuXaN8VSMAajG25wyg4iihLaeYex9/wzaeoYhilJUfyen2rdbTRAE9YXY7iF33OVy2vz7HweyW01w2M5dXF2DbrT3juKxV1vxYf8onni9TQk2kl8vSf5MFc2NtRjx+NDWMxwUXOPxnttHVH4SWD7uZFvARUvtO9ZaKNywYpay1Y7dIqh+rx0D2hklJiMvDsvk72bMK+LW1TWoyD+3CDbVc0hEkY15vWFtTvOaOox5+VRosgX2aQBgNoX3a2p9kiQF/7fDZok6q0Wk9lUtaEirr339/TP47I/fxJVb9+Cl/R/hRO8w6kr926+FlvdY1xBO9LpUjznZeEDt30O/N736TaMI/M56hsZQ6LDpNmaKFHQDxH4uQscH8ntIE9evyxP89JFWwF0sx4r3u9Aqa0N1kfJ55WCJlTUl/q2ATULU1/ifT/Ri34f9EcfGoijh1wc70PR0C7buasXje9pwY0MVNu88AsfEGDZR40pKDlGU4LCZ0dxYi9vW1KIi345n3zqFjY3h/fYv3z4VdO2aTQh7XbHThnuvqg/63cbGOpxX6sD8sly8+UEvTpwZxssB19XXf7EPn7uwOmx8Lte90AC20LrRMeDGE6+3ob3Pf78Umv0sGlr3HaEPdUTKeEdElCwer0/1/srj4/2V3rJtFlQWZGF+eS5mF2RjQXkuKguykM0thHSVbTOjujgbX77UPx65bU0tqouzE/I9j46rz0+4x42ZhYCMzZllUa07Tpv+QUBjGn0P5/YoU414fKr3diMefa/pzkH/PFlgPS102NA1OKbrcdLJoHtctb0YHDNmNs7iHJvqeLHYacwAq+oiB25fU4cnXm/Do7v9c4W3r6lDdZFD92NlWUyq363NwnALykx63Ysw3DtF1LLsRJv63mQScMXCMmxvWomOQTc2NtZiR8u5LcHkCXA5uKZr0I2KfDt8ItA9dC4Tg9ZxyvKyVFPCleVlBbzm3NPDatsG3L1uEXyiiNvX1OL+lw4rv//WNUtQ6LChY8CN0txz+4jKTwI3XVKDxTPzUVuaM+Un4rW+4xm5NtWB29LKPLzcvFrJUqEW8VyRH39GCXlxWN7K5PMXVwd9x6FZlvgUPlHi5GRZsb3lZFAk+vaWk/i3642YRDW9hWZEybZagrZQkxeZA9tLeUsp4FwgQVle+N7UclaLQodNeQLYLADleeHb53QN+vvHXtcYREk9G4ZaZg3A34d849n9uO3SWjz6aivuXVePH77WqmyBc/e6RXh0dys+fl5xWLaJycYDkf49GZlkMpHad7axsQ6CRpaTWPtbrexSjQtK8fHzimM+F4Hjg9Axgd1qCpuYVQu4C3yCM/SaDiyLfKz3OgeDPkNFvh3XN8xSAsS1yq9W1s3XLsXHa4o1P2+017jWlndXLCzDyf4R5fNIEsK2LZQzz4z7fEr55HHlvLJcLCzP0zXDGMUn0rUZ+Bq1TKTbW06iriwHO5pW4ndHu+ETgaffaAeAoIcbel3haYD/4w9tuO/qemxsrEORwwZnlgXl+Vlo6xnFP/7cfxy17Tu//7tjuO3SWjz0yjEA5+qefN0HBrBp1Y0tv30v6PPF0uZU5GertjVy/Q98L2b0IqJUy7XbVO+v/t9556e6aIaTl23G9Q1VSlZuu9W/3XOenQFHeirJseIrl83DB2dcECX/feRXLpuHkhz9s3bl2dXnJx66jvMTlHlMgoR/+EQt7g3Zkt5siu5B61jkZlk4t0eGojXfVJan773drAI7/v4vanDG5VH6uL//ixpUFhj3HnJGjh0PtBwOay+23mjMsWqu3YwbQsaL93+6HrkGHS+2943grucPBs3p3PX8QZw/uzCqjPCxcGapj8Vzsoz53ZLx5WqslcZ6L8KAoxRRy7ITbep7UZTwypGusIW0p/a2o3/Egy03LEdVoUOZrFcLbokU3FRV5ERdWU7QHq51ZTlB6ecCJ9U7BtzY3nIS225qgNUsYNwn4e4XDmDd0ko88XrwxP2dzx1A0yU12LqrFce7hoMClfpHPLBbzCh0WnVJ/6/1HW9vWqk6cKsry1WOq7ZosOWG5aivyFf9/Zxi56SLKIGL6j1DY/jCk39SXSx74vU2PoVPlGDDY17VPbGNuo9xugvd0iywne0f8cBhNWNjYx1mFzmwsDwP1UUOrKgqVAJtqgodONHrwuZrl6KtZxg7Wk6hf8SD2tIcPPLZ89HaPRzUB84vz1P6tNCF7c3XLsUb7/cE9U8v7juN+z+9GPf86mBYQIjMPS5iRk4W3OMi7nvpEL573TK0dg9hQXkefvj7VvSPeFQXfycbD0z277FsnTpdqH1nD+86jo2NdWEB0vH0t1pjhCWVBXEFtMjjg3m3rcKhjkG83zOMp9/wj+keXL8YudlmZdxit5pw71X1+OEfzm3dtrGxDr0uj5INKFJwj3ysRRW5qC524s7nDsQ0Toxny7Ror3GtLe+23dSApqdb4B4XUV2cjX9au1Azw1SRMwsrqooYiJeGon3YQu162d5yEt+9dhl8ogRnlhVLZ+Xjtp+9o3rtbr52KWwWISwNcN2MHIx6fEqwWmiAkVZGvNLcLOU97l63CC73OLbd1BAWZKdWN6oKHbCaTar3DdGor8jDg+sXK5Nmgfd8oe+ldX9CRJQsHp9P9f5qXBQn/2OKiWdcwg9+36pMCAPAD37fyuAUndnMZnQOuJXxgtwPL63M1/1YLo35iREP5ycoE5mUYCPg3Jb0/3XLRbofaYhze2QwWvNNet/b5dmtcHl8YX2ckbfCra/Iw+1r6oLurx9cvxj1M/Xv19OB2yP+f/bePT6q6lwff/bc75PJPSRMICZACCGAEdFDODWoh1pQFJTWU20Vm9Pftxgqx9bWqqhYW7xgRTzH46Wt0mMFS71TagVb8RQvQbnfEgMJiblObnO/7f37Y7J3Zs+sPZlJ9uQy7Ofz8SNJZvZae++11vuu933W8+LZCH/x2b83pCwhs8nmJMZ0mnucohOO/EGGaOe2375Q1HYkSBgruHzi7EXGlXBEUdQyAE8DkAN4kWGYX0f8/fsAHgfQOvirbQzDvDimnRwhhiOfxJK+Hy5xKJRIe/m2hcgyqjmFHvYzNywo4ALx7OdjkZtkMgrVM3NQlGkQTNYIJZzO2Zy4Zut+Tu6fdI8zcozQKGXodfvxzuHWKNbcsjm5iT1sAQg9Y5cvOKzjFiuhRvo9EDvBF37doiyDYN/CVZak5JgECcmDWiknsnZ/fcPc8e7aBY/wdbZjwAOdSg5/kEa6Xs1bG8MJSpHr7/3LZ2PA7ccT75/GM9+ejzv/+CXRBgKIsqf37DqC52+pxP1vHcXaxUWQy4DKwnQstFowM9eA9n4PzFol7vnzkahSorpBlRmPnwa7gm969wRHBiYFCIbzB0bjL1yoEHpms3KNMGoU2FGzCC5fcFjFRyGMhHQTzzXZ96lTybFwWjrSdErMyjFBJqOwe7CtLIMGPS4vrpuXD5oZqhPe6/Jht8CYjvT5ZDIK0zJDRPJ5U9OIJOjh/MREiG7xjnEhv5EtcZhn1mBNpRWnItSZAH5Zt0T7J2FsEM9hC3b/FP5u2ffOjlHWx96zvgodA9Fjl13DWZIa+3k6QhmLRDAijatMgxrPfXcB8swaoi0KB2nsjWatUChkWFmRj5LskO3JM2tg1Cgx35oWdS1J8U6CBAnjjQy9mri/Eiu+I2EIPS4/MSDc60rNkiDjhfYBT1Qs9em99ZhbYMZF2UZR25LiExJSCZ32sSv3K80dCamGZMSbSOh2+og2boHVgotEbWniQKGQ4dryKZiWoUf7gAe5Jg3mTjFDkaJlsHovMH9Ro5IRYzrJKHPWZfcS7VyXI3VLEkpIbYjlT40b4YiiKDmAZwFcBaAFwOcURb3NMMyJiI/uYBhm3Zh3cBSI5wSvkDxiPNL3QokbBgwX4A7/jFACJ1ayMp5kTaQixTmbE2c67Lijqgi7DrZw9xR5j6W5IVJNj9OLkmwDF/wXi7HN9kVGUYISlJdOzxjWcRN6BqTfN3Y5ElKsEnr/4SpLEiRISB48fjJr1+uX6rxPBCRCGCAlsTe9G5LIbbK58XW/cLCLEVC0UMop/O77C6NsRMVUCyqmAl809eDbl1ijSo+29LoAhNbz2XkmlE0xDVtiazh/IFF/IZ6SRakOoWdWmKEXzcaKTWoR8h1n55mj2ur8yoOtexuiriE0pi06Fbrs3qgxMRwJOh5SWzzjLd4xzv4+8nNs6cIbFhRg6756WHSqKKWq4cq6SRh/DDfO2DkQWe6Pfe+RPvbu2irQDCO4hu+O8PM/PWuLSTAile9cv7QEDZ12XDk7d8RzfbRrhUIh42wPi+kiEAElSJAgQWxYLTriqXGrRTfeXUs5WHTKKNu4dV89XrlNOlUtJuyeANHPcHjEjxkInSr2SPEJ0SHtl5OPTEN0uXuNUoZMvVr0tqTYnoRUxFjs7Zw+so1LZWU9mmbwwenOYQUDUgUmDdlffDlF/UW1XE6M6WgU4pc5yzSOnZ2TIGEs4BbJnxpPhaOFABoYhmkEAIqiXgNwHYBIwtGkQzwneEcjjxhP8jHyM/EkK+PZdJE+A0Sr+9RWl2DPsTZi6ZLpmUOnzxfQDMrzzaIxtsMTdhadKsrIsM94NI4b6RkkmqwbK3lMCRIkkKGSybHvVDseW10BtzcAnVqBl//ZiIqpqSmjOpYYywAeSQ0DAKeWolHKkGfWxrSBQsTUWDZCq5JhRo4BT6yugNMXQI/TB71Kjv/+RyOXXClM10GhkA1rZ4azB4nYi3hLFqU6pmXose3m+TjS0s/Voi8vME9oG5tIqd3h/MDwv+WZNbj1ssIodRgxSPCxxht7Tx0DIf9u283zse7VL3mfk1HAga+6kWfWYMtN87B5z0kikWjL304DGCLQt/V7sP2TJu7URVVxJi6Zln5BjfHJiOHGGTsHIgllcpnwwQmha+pUckyLIBjmmDQozNBi+dx8UBSgVcpw7zdn4dG/nILHHyrfWWDRYv3SEjh9QcgoQK+SY4pFK/raISW6JEiQkIpo6nHhmcEy8eypyGf21WP+VIvoZQwudDg8flh0KtywoIArkbHrYAsc3tQ8sT5emJJG3kfmmcVPJqnl5FPFv1xZLnpbFzKk/fLYIMekxq9uKMfZbie3H5+WqUdOEuaOFNuTIGFkKLToePtjAHjncCumpjBR/Gw3Oe42886qlPRVHV4/mTidov5ihkEFvUqOmiVFoBlwMZ0Mg0r0tnJMamxcUYaH3jnO+RMbV5Qlxc5JkDAWEPKn5hYk5k+NJ+EoH8D5sJ9bAJCK+a6iKGoJgDMA7mIY5jzhM6AoqgZADQBYrVaRu5oY4iGfjEYeMZ7kY/hnSCd2Iz8fz6ZL+PS9EZv3nOTVA91R14zlc/Oxo64Zz99SCaWcihlQZ5iEHzMR4Qm7tn4PXjnQhJolRZg/NQ2FGXpRCU2RzyCRZN1YyWPGg4k0dyRIGCsY1HLcWGnFT/90mJvLD11bBoM6fta7NHeiMZYBPCE1DCC0/sooYMtN81CWZ4ppMyP/tnnVXNicIQlUIeLtyTYH7n3jKPedB5bPRiBI42fLZkEmo9DW50JLnwvTMoffsA5nDxKxF4mQVsYbyZ4/vgDDq0W/5aZ5orchJhIhLg/nB4b/7cbK4cvqJkpqY4kSerUCLT1O3FFVBCCU6Nqw8xBmr6/CiTZ71PX2rK9C+0CoLNxZmwPLnt7P/X3bzfPx2+8tRK/Lyyt5Z7XooJTLsGHnIQBDZKq2fg+e/bABGqUMN8zPv6ASBJPV9gw3ztg5EEkoqyy0CPrYpGvWVpeg9rUvseGqmZiSpkHGYAk0IeWNv9RWocMeklMPBBnoVQpoVDKo5aHAlDVdXP9cSnSNLybr/JEgYbwRz9xp7nGiyebGsx82RP0+FZM444lskwa3/cs0bPnbGc6WbLhqBrLiUEyXED9mZRvx8HVz8MBbQ77Dw9fNwawcU0LXiWf+aNUy/PBfi6MSV1pVapZ5GS9Mpv3yZEa+WYeDTB9vP/7o9eXINydGZIhn7ogR25MgIdUQz9xRqSj86BvFeODtIbvz8LVlUKtSd0/a1EM+sJqqvuq0dD1Z/T194h7GHA2s6XpMsTjQ7fRxv5ti0cKa4P3GM3+mWvSYkubkDiLrVQoYtXJMtaTms5WQ+hDyp4wJ+lMUIxbTI0FQFLUawDKGYe4Y/PkWAJeGl0+jKCoDgINhGC9FUf8BYA3DMNXDXbuyspKpq6tLVtcFwSZhuuxe7iQ5C41Sht0ibmDYtiKTj+GJoGyjBnJZqO54nlmDPqcfbQMe5Jm1KMsz8eqTNnY5cM3W/TH7LPSZV25fiLpzvVFyW8U5BuQYNVFthd+D2AH3A1914zsvfBr1+9dqLsWioswRXTMcQs/gvTurcLojOrk2wZIHw3ZkvOaOBAljjc/P2nDLb6PX6e23L8Ql0zNIX4k5f6S5E0I8tkTstmZkG7BmoRWb3j3BC2YtsKZxiWIhmwnwCRT+IIP73zqKJptbcB0XuseaJUWYkW3EL3efRK/Lh0evL8fKeWNLhEi2DRwhxtz2jOU4jIVEVEzi6bOQjyc0pjvtHrh8Qdz+++hnGz4maJpBc48THQNeuHwBWNP1nBpl+PVsTi++7vPwSuGuX1qCVw40odflQ211CbZ/0oTfrJkX0w9O9P2w7fc4vWiNaH8C+lpiI6VsT+RabLXo0NzrQseABzqVAmuePxA1LtYvLQHDgLfPeGTlHNwwvwBAKJHdOeDFx191I0gDf/6iBW39HmiUMqxdXISXPm7ElpvmYWaOEd96hjzupmXox4wENNz4l9SPRIO075EgYeQYke357KwNtxL2V6/cthALi4j7KwkjRN05G777UvSz/sPahaicJj1rsfBVpwO3v/wZp/7AMMC7R1rx2+8tFEpMjtj21J3rwX++fiiqrSdvnIfKaeki3I0EILRf3rDzcJQ62FNrKsZzv5xy+KrTQfS73xNWERnx3BlBbE+ChFSDqH5bKs+dTxttxFjVy7ctxKUp6KvSNIO/HGvDf74+RCB48sYKfHNOXsrGGAIBGsfb+tHWT86BR2DEtoemGexv6ITdHYTTG4Beo4BRI0dVcXbKPlsJqQ2xcqXjqXDUCmBq2M8Fg7/jwDCMLezHFwE8Ngb9GhHiLeU12jbYAHSeWQOG4SsDCRF4ri7NwfsnO2IG0eM5WS/0mX63n1gP9LHVFVjz/AHBgH0yTpaMtCwIC1Iyr61/+NJpXQ7PhFEskiBBwvDosHsF1jzvOPUoNZBoecnRtmXRqbBsTh6e/+grrF1cBLkMmG+1oChTh6/7PKCZIZWi8BJpNM2gscsRVR40PAkcbpOmZeg52+D2B4n3aLXo8Pj7p3DLokJs/6QJ975xFBUFabgoO5RAPtvtRFOPE3qVAjkmteiqGcDobWCqQGgcdgyIPw6FkCipOpb6C00zON/rRGO3C18294JmQlLX9ywrJV4vfLw3djlijgmhfk7P1Ef9nSVvhM+Rp/eGSqc8+2EDtu6rR82SIjh9gZjrQKLrRPj9JKMUr0TuGDuEv8vIsVeYocUjK+fwFIh+df1c/GbvaZg1ypCs7+DJsbw0Nc52O3HW5sC6V7/EHVVF2LYvpKiRZ9bgR1cUg6KAmTlGWHQqbNh5CP/97wsE1wUAMfckYo6TWON/LIlPEiRIkCA2vIEg7rpyBp76YEh1564rZ8AXDI5311IOvU5yiYxeZ2qWyBgvjKVqV7fDS2yrxyHFJ8RErilUbjo8Xr9+aQlyLrD9crLRJFD2PhlzR4rtSZAwMnQOkOdORwrPnWyjGvd+cxa6nT6u3GOGXoVsY2qWwaJpBjq1DM/fcjF6nX5Y9EoEGRo0zaRkfIGmGfz1RAf+8/WheMqTN87DN+eIH09p7nHixNf2KH+iMF0fV7UDCRImGsTyp8aTcPQ5gBKKoqYjRDT6NoCbwz9AUVQewzBtgz9eC+Dk2HYxfoxlKS+LThW1QWJP7pKC5TtqFg1L7Mk2kpOUWYahTZdQIlOrlBMH47luZ0wS0XAB95EE9hMpCxLrGZNO7rPPWChxF5nQliBBwsRFtlEtsOal5iZjrDCWhJcckwY3VhZwhFc2OMuqDW3d2xBXedDCDC02XVcOlwBJomPAg1PtQwp265cWE++xfcCDJpsbW/cNETBOdwxALgOOf23nbXjWLy1BSY4B1TNzRN30jMYGphKExqE/yIzZxlqIVJ1fswjl+WlEkhCJuAwA+053oGPAy1Pxqq0uweY9JzEzxwiKgqC/NNyYGI78Hf53igJxjrCngz1+GjNyjCgUkG1m14HRrBNi+lpSaavxReTYa7K58cy+euyoWQS3P4hsowYFZi0UcqCl182T9b3ryhl49bMmfPsSKyw6FYDQGLLoVLhlUWGU6ur2T5qgVyuI406nlI8ZCYimGehU5H5kGzVSmQ8JEiRMahSk6XC2y4maJUWgGUBGAVqlDPlpiZXQkTA89Bo50ZbopRJCokLId9CrxA+lG4Xa0oxn2D71YPf4o8pNP723Hv9yUeopW4wntGryGqVRir9GSbE9CRJGhgyjijh3MvSqcexVciGTAWqlnFfu8aFryyBL0eql9V0DaO/3RZVrre8aQGle2nh3T3Q0djm42DsQsvH/+fohzMxZjOIco6htdQx4if7EAqtFIhxJmJQQy58at+WUYZgAgHUA/ooQkWgnwzDHKYp6mKKoawc/VktR1HGKog4DqAXw/fHp7fCIDFS39XuwdW8DtCo5irIMo05chAegb1hQELWgbdh5CGc67MRgeVu/cBCdhVwGrF9aAo0yNCTYhKg8bIRMy9Bj283zUbu0GOuqi7F+aTHu/eYsHPu6n/seC41SBm9gqH89Ti8auxw48FU3GrscoGmGSzhFfi/LoMGe4+24Zut+fOeFT3Hb7z/Dxw3dvO8KgU3Y7a6twms1l2J3bVXcCQFSkP/pvfW4YUEBLDoVTrUP4Ot+Fzavmst7TptXzYVt8P5i9U2CBAkTB3KKwoarZvDm8oarZkAuJZlHBZbcEP5cSYQXVmEonnVd6PPTMvSYkW0k2jf2cqx9PGdzcn8PX+vzzBqsqbSiZnsdjn09QLRJcori2YaddS1R9vLny2YBADZcNQOPr67AjGw9frZsJuQyGY61DkRteJ7eW48jLf042tonqt0YjQ1MJUzL0EfZ6trqEtz/1lHeWIgEO84+P2fD4fO9cY9PEoQIDHtPdWLP8XbiNVkyzaKiTM53PGdz4khLP0c2Yq+zdV89ls/Nx8n2Ac5fumbrfrxz5GsEBv0vVpUly6jCjppF+OMPoscEqxT2oytCvt266mJYdCp02j2gaQZddi/uqCrCuupiGAYDx+HQKGWc2qZGKUNprgmF6bqo5x++DsS7TiQbQuSOWGNEgnggzZEmmxtuf5CbAyqVHGV5Jrj9QW4cWnQqPPXBGSyfm8/56bsOtqC2uoRHQgWG5sqNlQVw+wKorS6JWhc6HF7u4EU4hiMBJTpOAgEaHzd049PGbty/fDavH4+sLAcFwOYUOlHkIVxxCInaVAkSJEhIBoI0g5f+7yyCg8sYzWDwZ2lNEhtKuYy4l1UKl4yQMAK4fQHcdSX/Od915Qy4/QHR29Io5bj3m7Oi4q0ahUQiExNf95P3Pm39sX0tCYlBLZMRcwxqufhrlBTbk5CKCARoHD7fiz3H2nD4fB8X4xETFq0CG1eU8ebOxhVlSNOlLtG1Y8CLjW8f5+3tN759HJ0Dqanq1OcK4Ll/NGDt4lAs5Y6qIjz3jwb0ucT3YyYCztqcRBt/NgkxvgEPWW10wCOpjUqYnBDLnxpXC8IwzG4AuyN+90DYv38O4Odj3a+RINmqDuFBeaET5gGaIfYhzzx831hVprWLi7h64a8caMJ8axqPlen1MzwW8N1Xz8TuI22orS4hniYGgMIMLbodPnxU383JFZYXmPGNkmziqXu5DNi85yTWLi6CWiFDSbYB9791FE02d1ynikd6+l0oOWjUyLnT0lv3htQwnr+lEko5BX+QSahvEiRImBhweH1I0yjwxOoKrtauy+OHwys5hqOBkEpL+JpI0wz2ne7AkZZ+nk0QUvuJVPi7sbIAM7KNKM0zoWyKiWjfwsuNsslaUnnQGxYMJafZhHW4LVu/tARfnO+NIhS/cqApNHZ8AXj9QSgVcmzbc4pnA3fUNePbl1jhDzKCpKi9pzrR2ucR1W5IanuhZzAlTcPzabZ/0oS2fo9g2S52nG3ecxJrKq28cTAS2y7kFwZpJKRY0jHggU4l5+4FAHYdbEFbvwdyGXhkc4+fxj27jsCiU+HyogxiOd1Lp2fw7iPPTC4rkGfWRKm63HXlDPx82Sz8Kmyss0qQ7PUL03V4/2QHtvztNFfmsLIwHZcX8dudmWPEf/37AujVCuQYk1NikIVQOayxLAGZyhhpubF49k40zeBQSz9v78HuMdj9kFEjxw0LChCgGZQIkFAvyjLgZJsdO+qasX5pCQosOri8AfS6fDjX5cCMbIOgEtinZ22jHic0zeC9Y224Z9cRePw0KgvNeO67F6Pb4UVzjwtPvn8avS4fHls1F4UZWjTZ3ILPhHRtSalLggQJEwFtA+4oH6q2ugTtA27RTxVf6HB6/cS9rFPay4oKvVoBvVrOU+3Sq+XQqcUPpTt8fph1SnQ7fdzvzDolHD7pnYqJAouWuPfJt2jHu2sphQGvn5hjKM0T3xbYBWJ7dq9v+C9LkDABEQjQePNwK6/U+CMr52BlRT4UIhKLdWoF0nUKLrapVymglIdsX6rC7vHDolPhhgUFvPhaqpJEHN4Abr98OmyuoRJyt18+HQ5vahKOjBoF0cYbk6AWadYqcfXsTPz7ounodfqRrlfiD5+chVmrFL0tCRLGAg6vD2q5jLfvUctlCedKU9eCjDGSXcYkMihPCtC39LqikqW/ur4cvS4v/ue7F+OBt49xxBhWlYfte45Jg16Xj1cvPDLAfbbbGaXS8MT7p7HuimLsOdaGx1ZXQE4B2SY1jrb0Y9XFBZBTwOXFGfiiqY+XLFi/tATFWQZiYvpgcw8xUMUmC5NVWkAo8TElTceVcQBCp69rttdhR80irHn+kwum7MFIE0oSJExEmDQqnGhz4IF3TvDWpRIpGD5qDEd4ae5xor7DQbQJJNlRVl2CVCpny03zsO3m+Vj36pdRBAgWGmWo9CdbSivHpEFhhhbL5+bDatHizupiyCgKTl8QMhmw7opilGQbcbytH68caMKqiwuibEOvyweTVonf/7MR/983SvCjV7+IUtRYu7gIT++tx+OrK4i2RUYhbvKJtP4OId5nkaFX46WPG+MmgrPjbO3ioiiFlJHYdpJfeNeVM0AzDO6oKkKXwyvY9/B7NGoUMGtV+M0Hx3k+0Y66Zsy3WnDvn4/yvuvx06hr6oFOJY+rNFOQBlEG+PKijKjvP/XBGaxfWoJnvj0ffW4/9Co58tO0uGSaBel6NVcOl/1eeJnD3YPtCpEjrOnJUTeKRcYYyxKQqYrRkF2slpASFkvCIe2dztmcuPeNo1Hra82SIpg0Ctz7zZlI0w3ND6GSl1/3ufHKgSb8cEkRXP4gfhJRnq3b4RUky8Y7TmKtTedsTu4+AeDSoix80dzL2UEWP911BM/fUoma7XWCzySyHRkFqQybBAkSJgTUcjlRZe6V2xaOc89SD2aNCielvewYgMIj752M8gH+sPZS0Vsya1Q48bU9ao9cmCQf+UKFRiEn7n2uKs0Z556lFvQqBTHHkIxyhNJ6KCHVcLytnyMbAaF16r43j6Ek24CKqRbR2mnv9+LRv5zC8rn5HDHw3SOteGJ1BazpqbmPtOhUREKKRZuaZeQy9So0dEbH31O1bJ5SLiPa+P+9Iwl+m1aOK0vz8B/bD3LP9uFry2DWSsqUEiYntColfrXny6h9zyu3J7aXlwhHIiEeVYfRIDxxtetgqJxLuHGsrR5KsK5dXITyfCPUCjkefOc4RzL65cpyZBqUUMhlONLSj/pOx7BqQ+EB7qYeJ/GEb45Jg2Vz8vDTPx0mGu6LCy0xa1pGJqZVchkxULV2cRGe/bAhaafPScnB9UtLcK6bfN+xStWlWoBfOj0tIdXg8AWJ69KcWyvHuWepj0TrHLMqJOFqROz3Nuw8hBe/V8mxr/UqOQosWvS6QqfZWPtY+9qXuGdZKZaV5cJq0eHO6hLeaaH1S0uw62ALel0+3L98NuRycGXZSMpHW26ah8uLMmDWlmHvqU6iLWDVN1r7osnA9y+fDaNGgfM9Lq58lZDdkNbfISTyLBIlgrPjTEhFMlHbzvqF+TWLsPdUJ1RyGTQKGacO9OL+RmLfI++xdmkxj5TA+kTPffdiTM/UcWOdBaui9FWXI6776LSTfZk2AfWfbKMajd1OPPXBGd5zXWBNj0s1SKg81azaKo6wJCaxbrj2knlYIBURSXZhmJGRXWiaiUsJS2g8WdN1kMsotPd78ECYJDpb8jJ8H/Lo9eV4/K+n0dbvgd0bwLbBvQR7rac+OIMdNYsEybLxjJPh1qbI+6CokI0h3ZtSTmG3wH6S1M6j15dHlQJJ1f2IBAkSJjacvgBxXXP6UvMU9XhC2suODXoESp32OMVXTrF7A+R3mm8Wva0LGV0O8jvtdnpRDImgIhbsXj+xEkIyFMWl9VBCqkEo39Te70HFVPHa6Xf70WRz84iB7O9TFS4/eb148XupuV4IrY8vpOj66PXRxLnjjfidGOh3BXmxKI+fxgNvH5cOWkiYtOiyk33kLntiJSclwtEoQTrNmozgbiShKdekwdWzc9HY7cDR1n5O/QcAXvq4EdtvX4hbfvsZb9H7xZtH8dvvV+Lw+f4oJq+Q2lB40F+vUhBP+GboVbj/rWNcQvi1z5t5pT86BQZrn8uPxi5HVDsuX1Awecu2mYzT55HPOMuggVwGdNi9gqXqWJUMtm/vHG4FBYp3X2IpU4ynwkWshJ2UzJAwGeHwkAPiqSorOpEglIxw+QLEdY5VlxAignx2tgdb9w5tkAsztPjD2kvxUX0XgjSi1PEARJ0Weu3zZvz8mlKc6bCjc8CDAbcfL+5v5NT1tn/ShJolRZg/NQ2FGXpu/XX5gqAZsuogM/h7uyeIP3/RgpolRZgzxQyZjMKmd4fIwPd+cxa0Sjn2neqAXqVAjolfXmq49fdCUj9KxBYlSgRnxxlAfp8j8TtkMgrl+Wlo7fPgVPsARzYi9Z19j112L+8ehUgJaoUMUy36KIUYVv3o3mtmo3ZpMY841+vyRd2HkHpLnllL/H1+mhY2h5cjOFh0KpxqH4BGKcO0DD1yw66XZ9bghgUFkMsArVIBmmYECSQdAx6careLTqwbjgCVzMMCqQYS2eWJ1RUJE/RomsHR1j6cah/Aiop8rkQgq4QVTjzTqRTEEmPt/R5s+7ABD60o47XPlrx86XuVkFEUpwDEEvM8AXIAyuULcnPQ5vSCAoUepxc5Ji3K8kzDjhPS2rR5z0nkp2ng8gWJ9yGnyGtNjkkjqBJIaufeN46iZkkRzw5KSl0SJEgYD1jT9cT4SLJUDC9kCO1lndJeVlToBGKgOpX4p9cF4xMe6Z2KCUnhdGxg0iixo66ZV1JtR10znlhdIXpbUmxPQqpBKBaTaxZ3ndIp5US/TaNMXYUWt0DO0e0NjlOPkgu3L4AZ2QbcseQiuL0B6NQKvPDRV3D7UvN+9Rqy36ZXiz+mOwTy3Z0JkjMkSJgoyDKqifMny6hO6DoS4WgUGGvVAdLJ28J0Hfrdfp6awyMr58Dm9PEGB5v06XMF4PEHuUQRy2xdYLVwgSCGIbefY1JHnRpev7QEOrWca8uokUfVBk3XqYiDtb7TjvU7vox6ZkIbQDZ5m8zT56RnbE0nn2wuzTFFqWRsXFGGX753Amc6Hdhy0zxcXZqD9092jHqMjLfCxXAJOwkSJhvyzGQjmmtKzIhKSByF6Xris59q0RHXuatLc7Dlpnk4PUhqiPyeVinHj64o5tXf7nZ4eclXYGjNYiIIHHlmDdZUWrnSmawCkUWnwo66EBGpodOOSwrTcVlRBq9meo5Jg3cOtxJP7+2oa+bKu/W6fJiVa0Jxlh7XPPMx175Fp4LTF+TKcw7JfxtQPTNnWMWYaRn6C0r9KFFbNFx5v3CwKiab95wkKlqN1O9giU+RYze87+Hv8f99ozjqc0KkBJmMwrfm5MGiU6GuqQdBOhTIvf3y6Tjf44qSTS7JMUTdB0m9ZdvN86FXyfHE6grUd9qxsy5EVqqtLsE9fz6Cb19ixQ+XFGHXFy1YNieP96weWzUX935zFl76v7O88rjPfxRSdJqdZyTej1GjwIFGG+6oKgIQmsdiEJuHSyokMkYudJDILvWd9oSSNiR/Nrxsco/TG0U8e2TlHDyzr54jabKf9/hp6NTRAaVelw8GtYKTm6dphhvjbP9I/d13ugP1HQ5kGtRo6XVx4/6RlXOwsiI/5jiJXJtYuxK+toffxzuHW7Hhqhm8fVVhhhabritHx0DoAAmJ/Ca0Bs7IGZpXklKXBAkSxgtT07T40RUleOCtofjIw9fNwdQ07Xh3LeWQYxInICwhNuQyEGOgctnw300UuQLxiRwpPiEqJIXTsYE/SOPbl1ij5k6AFl9lQnDuSOuhhEmKmVkGPHztHDzwdpg/de0czMwSV4VNrZThh/9ajIfeOc7La7EH8VIR0wTi0alqA3JMGnzn0kJevHvjirKUXR99wSB+cU0puhxeLi+daVDDFxTf9kwxk2ONYhMDJUgYK+jVMjy2ei4aOh3c/Lko2wCDOjGbIBGORoHIwHvkKe+xOCWtUMiwsiIfJdkGtPd7kGvWoCzPjONtQ4nZPLMGtywqjEqGssF9VlkiPAHABr2VcopTTLCm61GSY+BK18gooCTHwDvNPj3TgMYufm3Qe785C7++YS5+9uehE/h3XTkDv//nOaI6AWkD+Kvry2HWKXD17EUoyzOPaSJVSCXhnM0ZpZLx0DvHsXZxEY60DmDDzkPYUbMoLjWG4RQqxlthSDoFJCHVoJCHauuy8pehDVwZlMmIHk5CRK5JVosOzb0uUVR0pmeSg3wKOUVc53bXVmFZWS5m5xlRmKHHvW8c5b73mzXz0Nzjwksf84kVBRbyiSB2zQr/G6lU26Z3T2D90hIwDHgbs0gyz7QMPe5ZVorNe05i7eIiaJWhMqIKOYV/K8uFXAbMm5oGnUoOb4DGmU5+masbFhQQ5W1rlhShaLDkaKz1d7xtw1hD6FnkmjRo7HKManxytj7XiB6nFztqFsHlC4qiGiWTUZiWQQ5sZBn473F6Jv9zpDK64UFxhUKGy4syAAB1TT24++pZaOl1cZ9nCedufxBZhmibTVLQPNFmx/JtH/MIeANuP145EPIb2TF6x5KLuPkBhMbfT3cdwborivGfV8+K+tuGnYfw3p1VRILTmQ6+78j6qaMlNktJBfFAIrvsrGvBo9eX89blWM+XtGaxZZNf+rgRSrks6u/3vXmMqFqnUcrQ0htdsrK2ugT+sIASO8Zn3lmFtn4XijL5/X30+nL4ggHUdziiylVv/6QJ9715DDOyDZg7SGCKBE0z0KnknKLYroMtRLty35vHsKNmEXqcPnx5vg8v7T+Lb5bn4fHVFWAYGkEaqNleF5M8mmMiq6uW5poEy7BJkCBBwljhZMcARzYCBksLvHUMM3MMHAlUgjhQCexl1dJeVlRoFHJk6JV4YnUFnL4A9CoFXD4/NArxT8orBd6pSiG9U7GhV8t471SfYCJFwvAY8ATwl6NteGx1BU9V46JM8WMUSpnA3JHWQwmTFKe77NhZ1xSaP74AdCoFXv5nI2bmiu1PUXjuHw28KiXP/aMBT944T8Q2Jha8wSCRSOwNpqbij9sf5AhlwFDu8ve3XTLOPUsODGo5VAoZL7b40LVlMCRB4Ugho4hjSSnFYSRMUvgCDDy+IG/+PHxtGbwBAXUaAUiEo1EgPPBOIvWIrTIgREpRKGSomGrh1XEtyzPhkZVzcN+bx4hBbza4/+yHDdAoQ2XR7nztS6xdXASjRg6jRkkMelfPzEFRpoEX0AbAJXMCQToqefroX07hf9deit21VTjTYcfR1gH8/p/nuBJwkeoE4cmvjgEP/EEG9791lDvZvHnVXExJ0yBDrxa9bNlwCFd/EjplzDppHj8tWHc3/H7jUS8ab4UhKWEnIdXg8Abw7N8beBLPz/69AZtXzR3vro07SGtSpMLEaOwbTTOwpmvxwq2V8PiDmD5YivTTs7aY69y0TAOs6XrMm5rG2SCaZvDjHfzk9NN76zHfasELt1TivgjbYXN6kWVQ89YzuYxcsqrAosNPCISJyBJYFp0SW7+9AP5gEOlhdom91xNtdtz2+8/h8dNYv7SYRyYRKhNHMxi67xjr73DPLNUgpMZzoi26FNfsPCPa+uP3CZLtR5D6vn5pCc7aHDBrldx7bO3jEyh6XT7olHJsv30hggxDJBM097o4ny3PrMGGq2YQCeesylDk3A1X+WnsckQRPja9ewJrFxfx/Lb8NC18AbIctS9I40yHXXBsqhQUj7yuUcqx7tUvo/zUmiVFoyY2J1pabywwWcsgkgh/vS4fFljT4ia7CPmz2sF5K1RWuc/lgzVdh/M9LgDgTuY9948G+AIMapYUwWrRoX3Ag32n2vEvxRk48FU37/lelG3ARdmhtbuiIA0n2wdwpsOOx/96Gr+4pjRq/xK+Vzpnc2FOflrUfQkpNtEMQ7wPtz8IjVKOrXsbkGfWwOEN4nSHHTNzjPj5G8L2hoXVootSV31k5RwUpuugUMjiWvcn6/iTIEHCxIdQ7KOt38OLVUkYPRw+8l72MWkvKypUShk0KgXOdNp5J33VSVB/GPCQ3+mvbpDeqZho7nHixNf2qARhYboe05JAhrlQMdWixfKKKbzDWxuumoH8dPEPrUrroYRUg83pRfWsXN78qa0uQY9T3FJNTq+fp0rNtuP0+kVtZyLh6z73EBlykMz1wkdf4aIsA+bkj3fvxIfN4SP65jaHb5x6lFzYPUFsfJtPsNr49nG8cvtC0dtqG/DglQNNPNvzyoEmTM/UQ/zioRIkJB++AM2Rt4HBw0NvH8fLCRIULzjCkZhB1vDAO4nUMxIlm1j9TqRsSrjy0fletyAxRqOU4ckb5yHIMFwptPy02ElW9r/we5mZY8Se9VU4JZBgGvD4cfG0dADgJYcBslIOm/wCgGu27uf15Z5dR7B2cRE+bezChqtmoc/tg06lwMa3j4mSDI+E0LOfmUMuC8KSkjRKmWDd3fD7jUehYrwVhiZiwk6ChNGg1+lHk82NZz/kl93qc6XuxipekNak+948xiVehexbPAgEaLx5uDUqWTotQy+4zmmVctA0A5mM4pRiADZxTU5Of9zQjRf3N+LR68uRplNAq1TgyfdPobXPixsrCzBnihl/WHspPmm0oSiLrDzj8gWI126yOWG16IjlMhdY02Oq0+2s46vVyClyeR8ZBV7JJ6H1d7xtw1iD9CwYBvjWM/ujbOj6pSVweIOQy0AshxeOsShbKpNRmJ1n5Ig27Ga01+XDjppF3Ht0eIN453Arb9P623+exe++v5A432iaQZfdy5Ui++h0J/RqOTRKGf79Umtcvmk4hiNTA6Ex1trnxgKrhTj+KgvTcbCph/g3nUrOEfBY1C6NLiPn8YfKRIlBbCaVTQsEaBxv60dbvwd5Zi3K8kyC40NMjHeJ3NFAiPxoTdfz/PZYEFqz5uSbsfiiTDT3uoh/P9Laj617G3iKW3/8tAlPrK5Ah92LMx12PPm3M1ApKNxZXcIrZfbYqrkozzejPWzvRVHA3a8P7XWcXvJ6z+6VGrocONrah/II0lH4Gs+qiXkCQVQVZ6IwQ4smm5t3H1qlHGatEoUZWl5wV2gORJJHm3tdUeqq9715DAusFt5BBqG9Jk0z2He6A0da+rnEaXmBmSvhKUGCBAmjQZaBXNYm05CaZRvGE0J72V5pLysqGAZo7XVHlSkuyhT/4F2P00d+p87UTAqOFzoGvESF4QVWi0Q4EhFKmRxb/naG95y3/O0MrpixWPS2pPVQQqrBpFERhQP+sPZSUdvRqhTEdpJBzpgoyDKoiWTILINqvLuWFORbdESF5PwULXfc7fAS4yrdDnHJegCQa9ai1+Xj2R5WgV+ChMmIHqefOH8S9acuKH1JNsh/zdb9+M4Ln+Karfux53g7aDoxWSgWbOBdo5QJqhR02j2itC9ESjlncwp+h1U+mp1niqq/qlHKMDMnlPhSKymo5DK4/CHJrNMxTqWH38u+0x1481Ar/u8rG94+3IqGLgdKMg3EtqZadGjscsDm9GLzqrncZ4ZTyhFKfKXrlFi1wIrbX/4c/+9/v8QP/3AQayqtyDNr4no2ieCczcmVy1lXXYw7qoqwec9JyGXg3j97L+uXluDPX7Rw91WWZ4r6TOT9xlIvYhE+1oSuk2ywyaRFRZkoyjJIiQkJkxpGjYK4VhnUqcfDpWkGjV0OHPiqG41djmFtTjyEg8g1Kl4cb+snJkuPt/UT17na6hLUvvYl9hxvRyBA41y3A28easU1W/djw87D8ARo4ntkmNC1733jKA429eO233+OFXPz8f3Lp+H5jxpRs/0gvvvSp8g2afDbjxtRW13Ca/fha8uQn6YlXvvL8334Z6MtLpsc+Szb+kMnIB5fXYF11cUom2LGYxE2cf3SEswtMPPWd6H1dyLYhrFG5LPotJPHa5ZBjZc+bsTWvQ34wfY6vHesTXDsj8THGgna+j3YurcB2/Y14NkPGzglgLZ+D37//Utwz7KZUMll+Nk3S/HukVZs29eAlz5uxD3LSrl3Gj6fz3U7sOd4O773u8+wbV8DXtzfiO8sLMRvP27Ez5fNQu6gTxT5bGLN3WyjhjjuWZPPzsvX61qw8e1j+NX15VHj7/KiDFw/Px+PEv7mC9JRfaIZENsszTUlxddgiY9rnv8EP/zDF1jz/AG8ebgVgYD4dd0jMVZjLRlgCX+7a6vwWs2lXLnLRN7RtAx91D6gtroEG98+huZeF3FNW780NN6AIcUthzeIM50OZBnVmDPFhH+5KBOPXj8HW9fMj7IxP911BG8cauXtvSLX5m6nV3Dcs+N976nOqH0bex1WTYxdc2757We4s7oEhRla3n3WvvYlTrTZ8esb5vKCu0JzgFXy4+a8zRlzTg+312zucaJ+sHzhtn0N+J+PGlHf4UBzz8QffxIkSJj4UCooPHRtGW8Nf+jaMqgVUtxAbFxIe9nxhMMbJJJTnF7xS6/kmtQCvoBE2BMTToFDRS5fYJx6lJo410P2Wc8lweeU1kMJqQavwMFKn19c29PjJKvfpDLR1RukiWRIbzD5saDxQLpegR99oxgvfdzIxQx/9I1ipBuU4921pCA/TUe0B1PM4hOslHJg4wr+vmfjijIopX2PhEkKsfypC8r7ikdJJhGEn7Tvcnjx4v7GUSvZRII9pXqmw447qoqw62CLYCkyIZBOJNdWl+DR3SfR1u+BRinDS9+r5G2kSSfTKFBo7HJgWoaeF7AOP+lTkm2IauvJG+fhXI+TK5dRmKHF87dUQimnhlV5YhNfkX2ZkWPEDwbLh7DPIrz0QbzPJh7YnF6ixGS3w8tTWsjUq+EJBDE9U488swZleWYoFLJhlYHiUaiQFIYkSBAX2sE1K1JKW5sEefTxxEjUNITWpPCSkiNV0REqtdDe70HF1NA6l1+zCHtPdSJIA9s/aUJbvweb95yEP0jjq64hu3PDggL8+i8neeWnWPWLbfsauGuzhGCby8d9l/3bA28dwxOrK6BWyfCHtZeivd+DM512PPVBPVQKCpuum4P73zrGW/u3f9LEfT/yPiLtDsmG9bp8ONVux0sfN+L5WypRPTMbZVPMaO5xQqdSIMek5hRDIkFSrrjQbYPQeG3udfHe9T27jqA830z0C4RIdh0DHu7vYpQeEurr2e5Q4PW1z5uxfG4+TrYN4OFr58CsVcCkVfHKx4bP59qlxVFj+qF3j2Pt4iLYvQH0uHwJK2DJZYhaGzeuKEO2UYV11cVgmKF5CQBddg/WLi6CXAZUFqbj8kElKVIJxGkZepyzOaP69M7hVmxeNRf37DrCW6emi3x6nJ0/3XYvkfhYkm1AxVSLqG1GYrxL5I4EpHVnpH2VyShMSdPwFLzY8dRp92Bahh4qBYUnVlfgTKcdJdlGbr/CwuMPlcIklVN8YnUF8fmyHCF277Wj5jLeOPzrsXY8dG0ZJ78drqT0yoEmqBQUirONONU+gPw0LcrzzTyVOZLS7X1vHsMf1l6Kj+q7ePZsw85DePm2hbx+7jrYEmXLttw0D1aLjjfnI8tyAvw5LbTXzLhtIbKManQ7pFP9EiRISB4YGviviLI2//X3BmxdM3+8u5Zy0KrkAntZ+Xh3LaVg95BP+g54kqOcEumLPHRtGS6gbd2YoDCdrG5sTU/dAzvjAY1STnzOmiSsURdKbE/ChQOh+aMSef7o1QqyKnUKk/UG3AJ23Z2apNOv+zzEEkm/v+0SWNNTb/+fplNg44oyPPTOkC+1cUUZLHrxCVbne9z446dNXHk+rUqBFz/6ChZdMcqmpInengQJyYZOYH+pS9D2pK4FISAZQX72pL1QmYF4lWyEymREJorZZCdLFAonAcVKgqkUFGqWFCE/TYvmHjd3DVb+f8A9dMqDFPRev7QEP95xCL0uH7bcNA8ZepVgwDoy+SmjgGVPD5U7abK5UbO9DrvjIHqREl/rl5agX2DjT4WdwBerpIxKLuMlESw6FTyBIHpdfpyzOTEtQ49pGfqYSf3IUh7hiGfsAOSSIBIkSBgZXP4Acs0arryRjAJyzRq4/Km1yRgJ0ZW0Jj2ycg6e2VcPIH4VHVKSWqjMZK55qHyYyxfE1r18Oezlc/Nxz64juKOqiPsuRYXsyfZP+DWT7R4/l5wOJ0rRDJkk1NjthFJOwT2o8hf+mW0f1uOl71XiQGMPLzHOqlHEInIEAjTaBtx4ZOUcnO9xYWddC3pdPtx15Qy8+lkTNq+ay5EzLso24KJsfvnVxi4H79kBELQzF7JtII3XcNIZi1j+lhARyB9kuLKu8ZD1wkEa/0IE8CDN4PWD56PIzb+6vhwF6Qx3n5HzWWhMUxTgCdBEf+6RleUx525bvwd/OdqGLTfNw6n2AQRpYNfBZqxfOhMyCghvTaOUod8T5CSENUoZz7cj+S2kZ3DPslJcXZqD8nxz0ohz4T71QyvKYhAfRWuSiMlWBjEZJeAy9CH1MdIzOGcLHVC4o6oI2/Y1YF11MXpdoROW7J5FLgP+tSQL6XoVvhlWdtmiUwECZSrDCbMWnQq+QBBPrK5AfacdO+ta8I1Z2VySXK2QoTjbgM17TqLJ5kZhhhY/XFLMya4//1Ej9wzY8XyqfYA4prod3ih75vGHTtGH97Ot34Mddc3YUbMIbn+QR9CLVZYz0h4L7TX3D5YZfWz1XOLfpVP9EiRIEAM9Lh98gaEFl6IAX4BBjyt1T8qPF5xev8BeViohJCbMWiXRrzBrxU9cObx++AI07536AjTsXslGi4npmeT4q9gHHS50KARi+cmoYH2hxPYkXDjo9/ii4ji11SWwe8T1p/RqGZGcoVelLllPqySTrLSq1CRs2xxkFSubIzV986/7PEQS0PRMHQozxI2Z61RynOl0oPaPX3K/0yhl0KXoWJKQ+nD7yftLdyAxf+qCIhwlM8gfjwJNvO2zSaouuzcqUcyq+Lz0cWMUCUgo+M8G7z1+Guuqi7kgPyv/v3VfPe6sHjox29bvwfZPmlCzpAhz88040tqPVw4MnWbfsPMQnv72PMGAdWSC6cBX3SMmerGJr8dWV8DtDUCnVuCFj77Cj6+cIZhQiDcZHi9cviEpy/BnFr45nZ1nHLF6lqReJEHC2EOrVOA3Hxzn6hgHaeA3H5zBE6srxrtromIkRFvSmmS16LDAaol7jRJKUl85MxuPrJzDqYuwZKayPDP3XZKtlMuGiBXhf9MoZWjr9/AIDzVLirh/hysSyQUS0dMy9fjpnw7zyEwsmmxuKOSyKAXDdw634v7ls7Hp3RPcfWxeNRc2Z6gutNWiw+5jbfhpmGLLxhVlsLt9uLjQgqtm5wg+Q6FnNzNn5HYmlRE5XrMMGnTZPRxJgUUsf49Egtm8ai7uf+to1POeeWcVjxxGQiySBtvXMx12HG0dwPZPmrDq4gIsn5sfpZDy8zeOcj7flpvmIcuoihqjQr4QRYXUtMIJeTIKuNiaFnPu5pg0+MasbK7vrN/Dqkqy82pHXTNuXliI3//zHPddi06FLrs3piJULJ8nmcS5cOKGTuAkH0t8TCbiJZlPFIxWHTZe4h37DD49a+Ot7yxpbkddM4+Q9/xHjXj0+nJYdCruAMUtiwrx+F9PEQ9NvHIgZAfyzBrcelkhbvntZ9zfH72+HFlGFbbubeBsCUtuKkzXQqNScGQj0jNYVpaL/DRtFGFVo5QhXacSPEVPIt6V5/Pnp1BZzpdvWwgGTJQ9jqVQ6PHT+KrTIZ3qlyBBQtJg0ihx62WFUQlmkyY1yzaMJzQCe9nHU2wvO94wauRE1SGjRvxkkk6lxC93fxllo1+5faHobV3IkOKvYwO1Qg69Ss5LWulVcqjlyVA4ujBiexIuHGToNdhRd4J3sHJHXTO2fltcxchgEHjuH3xlyuf+0ZDSc8ekJSvgmFJU1SnbqBbIRadmudYck4ZIAkrGAT+TRkEk1hpTdCxJSH0o5eLsLxOeARRFvcIwzK2Jfm8iINlB/vBkSaIBdhbhSSpS8tPjp1E2xYiaJUVRJCCh4H94sDr8tHu4/P8fPmnGXVfOwFMfhOqY9rp8KM4yQCYDV4YAGArAB2lg/dJi7Kxr4SlJkALWoyF65Zk1+GZ5HhfoZxfvDIMKD183Bw8MlropzNDiwRVz4A8GsaPmMqTpFPj0rE30Eiikkgmk0gjs3+JVz5LUiyRIGFv0Ov1osrm55CKLPldqnQod6fpLWpMSWaOEktS7a6uwsiIfJdkGtPd7kBtWfpKF1aLD87dUoq6pBzQTIvdcXpQBAFDIZHjqpnn49Z6T2HUwWunhgeWzUZxjwMwcI0waJZ7ee5pTBCzNM+HR68tx7xtHecSJr/uGSm+RnlWOUR1lu9dUWrHjs2asXVyE8nwTdCoF7n/rKJpsbmiUMrz4vUqObMTe/0PvHMe6K4rhp2lBVUMhsvGGnYfwX/++YFR2JpUROV4L03XEEl0kf4997hadEjtqLoM/GES6Xg2b04smm5v3WY+fxsn2AUzPjO1XCI3//JpFKM9P4/r54x1Dnwkn1YW3x5YEDJWBWsQbo6Q5wKqR+QIM1i8twWufN4eeEQVcUpiOqRZdzGc5LUOPGdlGrg2S37N1Xz2eWF0Bl8+Pf7/UCk+AhlYpg1GtwPd+9xnvmZPI8MnweUh+txBx44WPvsLG5WV46N3jvOcWTnxMFiZbkmMk6qzse8gza6JKnkUS7yKfAWuzdh1s4Uid2z9pwi+uKcXdYaQfi06FczYnfnxlCc73uqFXybl5wJLsQmX+LPDTNFSK0PO9sbIgSqH13jeORs2ttn4PV/ayrqkn5jOQySiU55uj7MT6pSV45L0TREWi6Zl6TM/UDzsO8swa1C4t5vZiuw6GlPKyjGri8w/fa1p0KtxYWYCpFh067aH3sbOuJcoOSqf6JUiQIBaUcgpfNtvwP7dcjF6nH+l6Jf7wyVn8y0UZ4921lEO/m7yX7U+xvex4w+4JEssEJiMZ2+ciq7hL71R8SPHX5EOlkCFNp0S3c+gQUJpOCVUSypxdKLE9CRcOyvJMuLO6JOZBTTHQ6yLPnd4UnjsURSZZPfOdFC3/SzH4yb/NxON/Pc2NpZ/820xgYoafRo1pGXpsu3k+jrT0g2ZCB4/LC8xJOeA3K9uE5h43j1ibn6ZFaY5J9LYkSBgL9AnYhET3IjEJRxRFvR35KwBXUBSVBgAMw1ybUGvjjLEK8sdzsl2o/cgkFSn5maFXY+veL3ltxgr+hyecw9WLZuUaeYH13//znGDytLa6BHuOtWHZnDziqWFWZYkUsB4N0StIg1i67erZuVg5dwqKMvXodflg9wTw//3vQcF+jab0Q3j/2cRfODz+6NIIwMQukSFBwoUOg4ZcE1uvTi3py/FS0xguSV0x1UIsXUTTDN4/2cHr72/WzIPN6efUI9iSWVlGNfJMGqgVMpg0SjT3uvDMvgb0uny4f/lsPPbXU1h3RQm+Ve7HRdlGXF6UAZmMQkVBGk62D+BMhx3bP2nCTZUFPCWNSAU7a7oe1nQ98msWYe+pTgTpodJqZzod2FGzCGue/4Rnp1p73cT7zzaqiXYhHrKxUH11yc5EQ6GQYcXcKcOW6BLy1xZY0wGQfbAzHXbMzjPFDFALjf+9pzrR2ufhlWLasPMQdh1swQMrZscsBRXyNYK8+dzr8qEkx4D37qxClyNajSzPrMGUNG0U8SqWTySTUSjNNXJ9EfJ72FKE2z5s4PlerOJMoko4o0E8Zb/CfeEjrQPAZ014YnUFZLJQUCCS+JhMTKYkRyKk1cj3ULu0mKf6EzkmSM8gfF7YPX4ueOP0DpV+JqmN3r98Njf2wlXv1lUX48X9jfjV9eXosntg1karhJHmFjuGLi/KgFmrJKoXhT+D8D1mk82JL8/3cQdDuhw+1CwpwvypaSgcPIDCjstY44CmGZxos/Ns3/qlJSjJMQjacLYfs9dXoa6pD/e9ySfY7qhrxgJrGnZPEsKbBAkSJhcYAEtL8/Af24fiMg9dW5aySY3xhFZJ3sumakmQ8YLTGyAG3h1JKHNmvEDiExIuDBjUClBUiPzf6/LDolOi3+2DIQnKDxdKbE/ChQOFQjbsQU0xIDR3DCk8d5zeINGuO73BcepRcuEL0EjXqXikmHSdCv5Aat4vECrnHB5D2XLTvKS0o9EocPWsHOSZNegY8CLHpEZ5nhkajaRwJGFyQqy9yHAzoADACQAvIhQ/oABUAngyoVYmEMYiyD9c+YFY7QupEYUvkjkmNQoztJy8FRBSgIi3VEivy4dZuSbMzDHyBhF7mpeUPN26rx6Pra6IKinw9N56vHBrJfLTtMSAdSBA43hbP2QU8L9rL4VcBpi0qriD2512ctKuy+HBRdkGVE5LR2OXA9ds3R/Vr7WLi/Dshw2jTniFJxG6HN6o0jpCpREmcokMCRIudKgVcmxcXoq2AS/Hes81qaFRpNbGarzUNEaqrESynyfaBqKS1pvePYH37gzdk83px2ODpzVYbHo3JD98/1vHsHZxETZvr8PuQTtwUbYB0zP1mJ1nwuUXZSDXpMHMXBM27DzEEXIXWNNgUCvR7fDiaGs/yvJMKM9PQ2ufB5v3nMQNCwogl4UUY2iGibJTOpVwySaSXYiHbExSWpLsjDDi8feae5w41T6AO6pCZfh2HWzhfIZpGXqiItb2T5pw+UUZMa8rNP6DNF+RMnxu5pk1UapM4SUBNUoZckwaXDo9gzifw8u8sffd2OXgrscqVJ5qH0B+mhbl+WbBdUAupzhVFrbtyHthSxEK+V7s75KpwMWq6ZyzOXG6fSAm2SnSFz7T6eDWR4lsIYxESKuR6xjNkMlq8Zb0/LrPhaYeNza9ewJ3VBXFVBvd9O4J1Cwpwta9Q4HD8FJiv9l7Bj9bVooAzWDbzfPR0uvCy/9s4hTwYs0tknoR6Rmwa07HgIfXj7b+0M+v1VzK3fdwilyk58nOsffurIo5ZmUyCjQDjmzEfnfrvno8f0slrOlDJQwlSJAgQUx4AzRXegoIrT0b3z4ulYRKAuQyEMs4yMeGO33BIF2vxtWzM/Hvi6bzVLvSdSrR27pQ4hMSLgxY0/Vo6HKgrqmXS3LPLTAnpYyvWiHHfd8qRad9aO5kGaW5I2FyQyajYNQo4fIFYdQokxKzUMpl2HDVDGz52xnOl9hw1Qwox+gg1nggx6Qh5lRzTKl5kFMhk+PnbxyNiue9fFtq+ubnbE5s3nOSU7ACgM17TmJWrjEp8Q+VSo4MgxoBmkGGQQ2VRPyXMImhVsiJimiJ+lPDEY4qAawH8AsAP2EY5hBFUW6GYf4xwn6nBBIp28Ai3qSLkBpR+KlYmmaipBU3XTcH/W4fGrscUf0RSjgDIAbQfUGa2H8K5MSB3eNHUVZW1L0EAjTePNwaJQG5siKN699wzzKepLXQ82YNixgJLzYwL5R4ibc0QjjiSTZMJEy2/kqQEAtufwAKuZzHet903Ry4A+KfVhxvjIeaBmmtfPT6crT2ucAwECxJRVrPhZLWXY7QWjRcKSqrRYs7qorQ5fDCatGhqceFph4n9CoFck0aTsEonPjx+ble/PAPX0TYrnxcXZoDf5DmkUI2r5qLwgwtr/xWW5+LmASYatENe9/DKS1NllJMEx00zeCL5j7eGsASfFif4eLCNDyxugJObwA6tQIvfPQVel2+YYlzpPHPXjvcJ4mcm1MtepTnm9Ex4IE/yOD+t45yhAiW4JDIfGbHVaQizPMfNcZUOmrr9+CVA6GyVAa1PKrGfWQpQhbhvhcweNJeKceBr7qRZ9YgSIeI5CQfIlEfg6RqxD5jlnQU7vtNtlJmEwWJPDeb08sL7GiVMqIPT4Ei7lfC22SJO9v2NXDjkC2xJqS6NSPsIEX4eMgza3DzwkLcFVHu7IdLivDbf57FPctKYbXocM7mhM3phVYpR8dAqFw028dExs5wexchRa6rS3PQ3Ovi5oDQ/oY9dBELQt9VyilpzEuQICFp6BjwkuNgA95x6lHqQimXQa+S806s61VyKCXGkahQyIErI1S7Hr62DEqF+Lb0QopPSEh9yGQUllyUhTStCu0DHuSZNCifInzgZTQY8PihkMl4c+fBFWUY8KZuWSgJqY14FJzFgMsbgFou4/kSarkMriSo+E0UWC06Yrk6q0U33l1LCrocZN+825GavrnN6cWaSisvnl5bXYIep1f0nMhYzVMJEsYKAx4/UREtUX8qJuGIYRgawFMURb0++P+O4b6T6ki0bAOLeMueCKkR/euMbO7652xOzjACIUPBqji89DE5iSSUoCIF0M/ZnMT+TzGT7yvfrCXey/Gv+6P6ed+bx1CSZUCF1RLXs4znZLXQ82bLkIhZcma4pEO8ScDJZpQmW38lSBgOSrkc978VvY5KJ3DFAbtWzryzCqc6BiADhV/vOcmV6RRaP0jruZwiK6yw6+8lhemCNkCjlKG1341t+xrw4v5GPLJyDp7ZV8/1gy1PUz0zh1u/D5/vJduubAOMGiVHNmL/ds+uI3j+lkrUbK/j1seiwWRwuJNWkmNAoYAaUTxk40TtjITYOGdzcupFwJACSM2SImQbNaBpBse/tuPuQRUfdrzUxihnxIId/6QyfLF8knBfjaYZ/O77C0dFjmHHFUkRJpb6Y45Jg16XD89+2IA8swY/XFKE9UtLkGVQo7nXxStFGDnv2C6ygZva176EWaPEmoVWbHr3BNGHGImPQVJ/2bpvSGGJ9JwnUymziYR4nhtNM/i6L6SUyr7Dny+bFXVicv3SEvx4x6G4Sh6Hj0MgVEqtZkkRFhWl48X90WNvVo4RO2oWob3fi+Nt/dyc+9EVxXjqgzNRSkE1S4qwdc18lE0x4/2THdi852RUcCq8j/GOneH2LkJKuJF25IVbKke8nxTaG6XqyU0JEiRMDOSa1AJrj3oce5WayDGr8XWfEt1OH/e7NJ0SOWbpWYsJlzeIByJUux54+zi2JyFmIMUnJKQSAgEabx/9mnAAOV/0slA6lQIPvvMFb+48+I6kridh8mK4yiliwaxV4Vd7vojy2177wSLR2phoaOpxEeO986dahj3UMxkh5JtnG1PTX1TJZFGxz6376rEjCWP6bDd5ns68syolx5KE1IdOpeAO37PQKGUJ+1NxeXkMw7QwDHMjgL8A+ENCLcQARVHLKIo6TVFUA0VRPyP8XU1R1I7Bv39KUdQ0sdqOBZpm0NjlwIGvutHY5QBNM9zfhIz+OZuT+wwbaNYoQ483kbInbJJqd20VXqu5FLtrq6KC8bEUfUj9iQfM0C0K9r98ihmPrJzD+/0jK+egbIqZeM3Wfjexn639IRUIoYX5bLeTewefnrVhdp4R790p/DxI/V2/tAR//qIlrmcf632TPnPO5sS0DD0WFWVyCgWJIp5xNJEw2forQcJwEDyBa09Nlv94QCajQFHA6XY77tp5iFMAirV+kNZza4YOG1eUEW2qTEbhsqIMbF41FxqlDHlmDWqXFmPTdXNgVMtx7zdn4fW6Fq7d+948huVz87mfn95bjyMt/by+sOoo4WCJQOdsTkHViHC7XT0zB98oycbSWdmYM8WEpbOy8Y2SbEF7EXnf4WTjkdoZCbEh5EvNyDFy5GtSOaPpGfG9j1AppjTMyjXhpY8bo5SK4vl+UZYBC6dlAAA+PWsT9FEAsi/DjishFbBOu4d4LatFh+dvqUTt0mLce00pfvvPs9i85zSe/NsZqOQy3HVlCS4vHpp3QGhePnnjPNwwPx+v1VyKHTWL8My+evgCDH74jWKObMS2Hb4GjMTHiOULx3rO8fh8EhLHOZszioz5qz2nUJ5vxnt3VuF3369EzZIivHKgiVf2LvIdBwI0Dp/vxZ5jbbB7AvifWxZErYsLCzOi7MQjK8vRYfeg9rUv8eA7x6FVytHrCiVhhcY/zQDuQBDNvS5s2HkIy+fmE4l5ifq6MhmFq0tzsKNmEZ777gLsqLkMV5fmcOuG0Nita+rhBz7fOho1x+JdP0azF5UgQYKEkSI3TY2Hr+X77A9fW4bctNRMaownOvp9eOXAORRnGzE1TYuSbCNeOXAOHf2+4b8sIW4IxQw6khAz6JTiExJSCMfb+vHM4GGQddXFuKOqCM/sq8fxtn7R2+qyX1gKHhJSH7Eqp4iJ7gtM/QYAmgRius09qZnfytSrouLpG1eUIcsgfmnYiYAel4/4fntc4vvHTT0X1liSkPoQy5+KW62Ioig5gC8BHKUoygoADMM0J9Ra9PWeBXAVgBYAn1MU9TbDMCfCPrYWQC/DMMUURX0bwGYAa0baZjwY7pR1POXSxCrbwAjkQIZT9PH4aZzpsAMYKgVAKlUBQPBehfp/bfkUTMvQo33Ag1yTBnOnmAVPJ2QayCzaTIMah8/34nyvG3dUFWHXwRa09Xu4vrf1u3C6wx73SffI551lCJXYmW9NG/bZx3OqPhnqPh0DHlh0KtywoIArPbHrYMuoS78lC6MpEyhBwkREtgDLP8sgBcTFRMeAR7AkWo/Ty30mvIQSq4x0oq0f9Z0OPPHXM1ApKGy5aR4auxyoKs6EWafEp2dt3PdWzJ2CigIzvmju41RrNEoZ7rpyRlS74SWf2KRz+FqWZ9YSx4ZRo8DRln7i33QqOaZl6Llr0DSD9092RNmN2XlGtPVHl4ySyj2NPYR8qdJcU0x/L55yRizY9zp7fRU6Brxw+gIoTI8/4R+v/xH5ucIMLTZdVw6lnMLMHCMKLFpOYj78XsOVUlg/0eb04us+D69sIFuaCgBkFMWd9C7M0OKpm+ahvtOBAE1DraRgTddjWqYBB77qRpPNjR9dUYxT7QMxfYiR+BhC76+qOBM3zM8nzh9JrTF5EHqHAEBRgDdAY+vehqi/h79joVLMf/1xFb7u80CnkoOigEMtfVDIgP9deylsTh+Ofd2PJ98/jV6XjxurrxwYUonTKOXE8S+jgGzjUOkyoVJtkXuq4SC0/rPjTGjsBvlNo8nmRn6aBrtHYBckmyJBgoTxQHu/F2aNHL/7/iXodniRaVBjwOVFe78XUy1SzEBM9Lp8qJ6Vi5+GKXHWVpegzy0RjsSEUMwgOwkxAyk+MXZItJSzhMRhc3px88JCTmWUjc3YnOITGTIMKuLcSdenZkJdQupjNJVTEoFeIye2o1fLRW1nIkGjJJd9V4msvDZR8HW/F3/8tAmPra6A2xeAVqXAix99hWkZOkzLMo5390SHXq0gvl+DWvyCTYYxbEuChLGAWP5UXDOAoqg7AWwE0AEgCIACwACYm1BrfCwE0MAwTONgG68BuA5AOOHoOgAPDv77TwC2URRFMYwQFWf0GE62MF6jH1kWY7jNTCBA43hbP9r6PTBrlXjy/VOoa+qPu8zY/ctnw+7xY111Md453IqjrQP48Y5D2HLTPFxdmoO/nujAf74+9Pknb5yHsilGbN5zEmsXF3EJ2M17TiJDr0KWUc1LngKhTdkHpzvjSnydsznh9gXwyMo5vMTBxhVl6Hf7cecfv4xKZLGn/1VyOTbsPCj4DkgglTqYljl8UCsemcpkSFnmmTW49bJCPL13qGzD+qUlyJ2gpQ7GytmVIGGsYNbIsem6OZxsuUYpw6br5sCsTd2N1Xggx6QhlkQrzNCitc+D7770GdGeUBTwkz8d4X1n856T+M+rZ6Hd7sX5Xjcau51QySlUTE0DAOhU8qgSWU99cAaPr67A6Q47dh1sQa/LxyPzapQyzMkz8dbesjxT1NjYuLwMT/3tNJaW5qK2uiSqHnTta1/inmWlXP+F7MYTqytwqsOOdw638j4PRNsxVolFyHeQAqXRSOSZCJU9mp4ZIgQlavditX2iLX4SdTjilegN/1yeWYM1lVZeaaZtN88n3quMAg581Y1sowZnbQ6se/VLrjxveJtb99Vj3RXFsGbo0dBp58jiTTY37tp5iFfGbEfNIrh8QehUChRmaEFRAM2QyyJmGTRxPWvSsxV6f5dMS4+rDFueWYMbFhTgVPsA8tO0KM83X/DzZzQQeof+IINrtu7HHVVFw86n423kUsw7frAIvS4/nnz/FFYtsOKhd49z73zDVTOgVcqx6uICAMCOumbce00pTnfY8XpdC+ZPTcPP/nwEd105g5fwWL+0BMXZBrh8AfS6fHjuuwuglFOoXVoMtUIGGUXB6QtCTgEUReGtQ60oLzCjeuaQUpHQnB9u32C16KL2Rw9dW4bX6/jneEIbe/WIywBKJQQlSJAw1pCBwvqdR6LW+j+svXQce5WaMGuVxJIRr9wmlRASE1MsamLMYEq6+CQgo0aOh68t44j9rEKYSSPFJ8SEdABhbGBSK/HqZ028fMOrnzXhydUVordlVCuI89QoJX0lTFJMy9DjyRvnReXxxFarNaiU+NUN5aFKIwwgp4BpmXoY1EpR25lIUMipqLLvG66aAYU8Ndd/tUKGM50O1P7xS+53odxrahKsdEo58f1qlOL7Uka1HBtXlOGhd4b8to0rylKasCchtWFQK7B5VTm+6hqyCUVZehhUiflT8X56PYCZDMPYEu6pMPIBnA/7uQVAZCSC+wzDMAGKovoBZADojrwYRVE1AGoAwGq1jrhTw52yFkpwCBn9eDYzpBO9G5eXwRdowpHWgShyS/ip1VB/g3jwneNosrm57/7xsyYuwL2jZhHnpLD385+vH8Irty/EmkprVOL0y/O9+M0H9Vw/gVCS5pzNidPtA7DoVLxyCOF9I52y33bzAvS5fNAo5DBq5fiP7V9EBUbYBNf6pSVw+gI89R+DWo5AkEn4hPFo3zdbUuVMh52oxDQadZ8gDY5sBAAWnQpufxCNgxN6LBPH8cydRMe9BAkTHX3uAPQqCs/fcjF6nH6k65VweHzocwfivoZYdieVMS1Dj/ICM9YvLeERLDddV84RIoDohGzk2sySKJ58/xRntyw6FW6sLEBrnxsdAx4oZRSPSMAGtlr7XHhxf8i+5Fu0ePL90wCGym8OeHxo6XPzlIeKs/VRJ0COtA5g0UVZ2HWwBY+trkBDpx1BGhxhliWCUBRwpsNOtC2nOux4cX8jaqtLsHnPSczKNUbZEZpm0NzjjFJrCvcdUiFQKvb8SfSZDKcAkojdi9X2aEjLsSR6L8oeIrSf7hjg/KZZuUb85E+HeX7U0ZZ+3LAgn1NKyTKECEbLnt7PI2BYdCpBlZdcsybqFD079tm55vHT2HuqE1v3NnDqNN12L/74eXMUUe/+5bOhkIMj1b1wSyXue+so58uyz1ro2V5dmgOVgkLNkiLQDCCjAJUi9thn15U8swa3LCrk+vP8R42Tav5MRNtDmi+/vL4cfS4v7qwuxl+PtUeNgW03zwfDhEhvOSYNbM4h+d7wdXzA4+cIp+wYBELjbcvfzmDDlSVgmFDptJ8tK4Xd64OMAv7z6hkwqBXwBRj8/p/nsO6KYmQZ1NCpFZhq0eB8rxurnzvAmwOv14WIqeuXlnAk1buunIE3D7VCo5SjOMuAaZmGmHN+uL1kc6+LKzFBUSFF2//6ewPuWVaKY19LfnayMRHnjwQJkwHxzJ0up5eo4pwMRYsLHd0O8rPulp61qOh1BBAIBnn+ZiAYRK8jgIK0+K8Tz/yxOf2oO9eN3w4qhGUZ1Hjji2bkW7Qi3IkEFsk4UCohGg6fH7dfPh02l49LWt1++XQ4fPHH24D45o7dG4BGyY/t9bt9sHsTa0uChIkCmmZAMzTP9tAMDZpm4o5XxDN3XL4AuuxeTg2YJWdMMafu4XI5RaHAosUTqyvg9Aag1yggowAFNfHjQCOB3evHz5fN4q3F6ToV7F7/eHctKbA5vUjTKELv1xeAXqWAy+vnKizEi3jmT6/Ljw9PteF/brkYvYO25w+fnEVhuuS3SZiccHj9cEX4Ti5vAA5fYutFvISj8wDEL7QrIhiGeR7A8wBQWVk5YgWk4U5ZJypRH89mhnSi96F3j+Ox1RWoHVQCEiK3uP1BHD7fB1+A4X137eIiHGkNlbD4up8c+O51+oinoh5bXcH1c/b6qqiT+eFJpsi+Rd5vk82Nda9+gcdXV+Bkux1mjYLYl+mZOtQsKUJJTojUxar/WHQq3HpZIbZ92BAV0Gfbi1fdgXQSWeh955o0UYmESCWmbKNmxAoTnXYPL6kSnvga68RxPHNHKs0gIdWgkFFweGlseP0g7wRhtin+MS2W3ZmMSGTtm55hgFohwyu3L4TTG4A1Xc9bA1mE25PItfmGBQUcOZUlG0Wum/cvn43KQjOqZ+VG/d6iU+HpvfV49Y5Lcd28fNAMoFfJoZRTkMlk+PxsD3YOJprZ0mffeeHTKNvAMEBbvwdnOuzYti+6PNDJ9gHc/fph/PjKEtQuLQY9OCrC1ZXCibaRtp1NYp9qH+CVAIr0HVIhUCr2/InnmZDGrZACSCJ2L1bbwxGbz3Y70dTjhF6lQI5JDWv6UBt6FVmiV6dS8AgPP76yhPOb7qgqIs6Pwgw9Vs7LR1GWAY1dITWjcIKe2x/EvdeUorXPRWyzucclSBZnVcPYslDsNZt7XLhiZhamDBL91i4uglwGVBSk4b3DrdAq5TxS3eZVc5GfpkG6Xs0968YuB/HZ7qhZxN1DeD93x5gD7LrCrieTdf5MRNsTXg7zVMcAZKDw6z0nOQLZXVfOwHtHvsbaxUWYm2/CzFwjTrTZ8a1nhkhvv7p+LgoztDBrlPjhN0Kl+GgGuO+tY1hTaYUvEIyaSxadCnqNEls+GBrrj6wsh0ElxzlbiNhz62WFeOVAE554/wyAIbWNcBU9j5/G03vrObWu8H8/9cEZrF1chKf31mOB1YJpmbHXYKG9hVYpB00z6BjwoMnmxrMf8m1IQ6eDIyFVFWfGVOuayAp3E7lvwMScPxIkTAbEM3csWiVRxTlNm7on5ccLU8wa3HVlMXQqJZcwu+vKYkyZoIrZkxW9Lh8eevdklE1//paLE7pOPPPHHwziomwzbv/959z8uevKGfAHaNLHJYwQIynlLCFxGNVKUJSb97vQgeLETsnHM3cUMgpuH42f/Ikf21NMIP9TgoREcPzr/ijFd41SBqtFhwqrJa5rxDN3fAGGU4IBhg70vHBr5WhvYQKDQkuvO0oBJydFK3iYNEp4g3QUqcyUoipWOrUCPppBS6edI1hlGUOHzhJBPPMnyNConpWH/9g+ZHseXFGGICP5bRImKyj4g/zh7g8yoJCYPxWvflojgL9TFPVziqI2sP8l1FI0WgFMDfu5YPB3xM9QFKUAYAYgpspSFNgTuhpl6NGQTpiyEvWLijJRlGWIGUSNtZlh0SZACHIPMv8jSw6wSaZrtu7H7b+vw/981IhbFhUib5CB7PHT3CkntnYkez8sNEoZAjRDbPdct5P7d8eANyqgvnVfPW5YUEDsm9D9nu6w46WPGzGnwEzsS4FFi5Xz8lE9Mwc0M6T+c8OCAp4SEBvQP9vt5J7Bd174FNds3Y89x9tB0/xJwZakOfBVN/6voRu3/f4z3uetFh3xfQdpCN43+xmrRRdXH0hgkxEABBNf52zOYa8zlkhk3EuQMNHBMODkyoHQvHvg7eNIXsHO1EG4DRpu/d1zvB3femY/bnnpc9z628/g9tOYnqnnrYEswu1JpC2Wy4ZsG2sbItfNTe+eQO3SmcTf37CgAB4/jW6HD1v3NmDXwRYwDPDE+2dw9+tHODtq0amwYechBGngsVVzebbhwRVlePdIyE1hy8RF9v9Mhz2kEgMKz3/UiG37GvDi/kbcelkhfr5sFv78RQvXL7kMUeW52CQ2zZBVZljfIVyp5UdXFGNddTHuqCpK+NRGKmE4fyvecRuOeO1erLaFxjpLbP7WMyFf7nu/+wx/OdaOfac7uD7lmNRYv7SENw7XLy1BjknNIzwEggzPV7qxMnp+3PvGUc6viFT6eenjRmzd24Cf/OkwKFD4+bJZvDYfvb4cr9e1RI03s0aO9UtL8OcvWjhy3/4znbxrfueFT9He78G3L7GCokIKjw+/exzVpblRJRDv2XWEKyHFPmuhZyvkO4f715GYlqHHo9eXc+tJIt+VMDzYcpin2+24a+chNNlCSQaPP1TesmpGNl76uBElOUbQTLSf/fM3juCXK+dgzUIrNuw8hK17Q+vnmkordtQ1I9uojppLN1YWYNO7J3jXue/No+j3BLnvvvZ5M26sHNq3bLlpHrodXuIYCFfrivy3x0/DNbg3G45IGLm3YEtv7jnejmxD9H1olDJ4AzSe/TB0z1lGdUyy0Uj3H8nGRO6bBAkSkg+KoqJiN0/vrQeVoqfGxxNyGYUgQ+HuPx3GPX8+irtfP4wgQ0GeoiVBxgsuXzTZOeQPBEVvS69UcuVf2Xae+uAMdAmWMZAQG8PFISSIgwDNwOkLcjGR//moEU5fEMEk+IRSbE9CqqG13020Pa39boFvjAxOX4Bs47zi27iJAm8gSCRZeQOpec+BIJlUFkjR/TnDMLB7AjzbY/cEwCTBIGgUCjz4Dt/2PPjOcWgUkt8mYfKC5LslOnviJRw1A/gbABUAY9h/o8HnAEooippOUZQKwLcBvB3xmbcBfG/w36sB7GOSsUKEgT2hu7u2Cq/VXIrdtVWjUpqJZzOTZ9YSP6MdPNkeSXginaqNJAExzFBQPV2vjEpY1VaX4HyvSzDgzf5byPmgKDIZS+h+q4ozsbu2CgoZhdrq6L7IB5N6MhnFU74QKu3R3EM+WRxO0okMev9gex3WVFqRZ9Zwn2/pc3ElOdZVF6NmSRFUCkpQfWNuvokbE829rmH7IITwZITQPUqJLwkSkgeb00ecdzanb5x6NHkgpOwQufbF+txw5N5IW7x0Vg7vs0LrplASmLVZOSa1oMIJa0fZ9VenlvNsQ4Cm8cuVc3D31aH6z6E60NGkjBsWFEQFi5/eWw+7N8CV5dQoZagsTI8qlxPe/1i+Q45Jg8IMLUfsYIlNrX2eCzaxO5y/Fe+4FbttobFOIjY/vbceR1r6uT5Z0/UoyTHwxmFJjgHWdD1vrHgCNPfvXQdbMNWii+lXxFL6eeqDM3D5g3j+lkr88QchP3iBNQ0qBRU13tINauhVctxYWYDnvnsx3vjiPKpmZEddc8vfzsDhDWLbvgY8+2EDmmxuMIjP9xF6tkK+c6xkgUxGYYE1DTNyjFKiIUnoGPAIEiblMnDrvNBarZTLowhEW/fVY/ncfHzV6cDG5WW8uWRNJ4911kaw350/NY23rxMaP+FqXZH/DrUXWrNjzXnWfu2oWYTapcVYu7gI2z9pQpPNjc17TqK+yxG1L9tw1QyOuDdcKbVkrmWjxUTumwQJEpIPp5ccO3JKZW1Eh8MbxEMRSY6H3jkORwonCccDGXoV0d5n6FWit9XnJscn+typWfZkvBDPIWMJo4cvwBAJqL6g+LEKKbYnIdWQKXBAJVOvFrUdIRuXrk9N9RsAcHrJRGJnivpPXQIHrbocqXlYVdD2BMS3Pd0OyfZISC1EHmZm508gQd8tLsodwzAPJd7FYa8ZoChqHYC/ApAD+C3DMMcpinoYQB3DMG8DeAnAdoqiGgD0IERKSjrYE+1iyKmym5nw0lyRm5myPBMeWTmHK6umUcqw6bo5sFo02LO+CkEa+PSsjZOlHy6hypakWLUgH9My9IMqP07ULClCfpoWzT1ubP+kCQBQW13CK7mxfmkJXjnQxPWzMF1PLAtQVZyJG+bnR8nkC91veFmAfafa8djqCrh9AaTpVGjtdcHuCaCxy0Esc0ZqX6cil2aLVd6NTTywJRJCyWkvsSTHjprLiO2W5Bi5649Gije8VEuXw4sX9zdGtSUlviRISB50KrnA2iIfx15NDsS79g33ueHKVYXbYppmsOWmedi85yRqq0vgDQSJ76/AoiX+XkaFEt1leWZsuWkeTrUPxLSjOpUctw3K2Ydf5911i3FNuQ6ddg/yzBpcOi0dbQMe5Jm1SNMp0OvyCZKhfMEhm7Z51VxcXpQRRWZm7d+ugy1RdbbLC8yc7zAtQ49N15Xj/reOciV4AGDL306jPN98QcrBD+dvJVM+P1bbQqXZPj1rI/aHZsD1SSajUD0zB0WZhqh5EukrFWZosXxu/qBUPXl9i1QQE5oHs3KNWFycyY1Pmmaw6bpy1Gyv4/lU9715DC/fthCLjWpYLTq4fMGYcyu8L9Z0Xcw+Dvdsy/JMw/rXJFjT9WgYJHyEl3yREg3iIMek4RTgIt/t0lnZKM9PI45f9jNCBx3kMmBBoQUMw+B/116Kr/s9UMooKOQU8TosWYj9rjVdj4uyh+Y5ae8VvgcK/3dtdQl21DVjy03zMD1zaA2ONf5kMgouX5Ajoa66OHQoRK+S48c7DsGiU3Frt4wCLr8oA3MLzHGVLI53LRuP0mZSmRIJEi5sWAViRyxZU4J4sElJjjFBlkEV5S88snIOsgziE440SrL/HpkMljA6JFI2W8LI4faTfXp3EtTBpNiehFRDjkmNjSvKOGKxRinDxhVlyDGLSzgyaeXYdN0c3P8WPx9p1Kbu3BFaL7Qpul5kGdW8WCEAvHO4FVlGccfSRIHdQ7Y9jiQcfjBoFMSxpE+wfJsECRMFDoHDQ4nOn5gzgKKo3zAM82OKot4BotWTGIa5NqHWor+/G8DuiN89EPZvD4AbR9PGeCOezYxCIcPKinyUZBvQ3u9BrlmDsjwzZDIKe463RwWzZw6ezI6XBCSTUfhmWR6s6f2wewLYGCY1uv2TJtQsKcL8qWmwpushlwHzrWlcPwEMSyCKvN+rS3Owo2YR2vpDCVn2XgDAatHh2wsL8dM/HYZFp8KtlxVGJXyuLs3h2tx1sIWYFGJVKmIlqmIRs9jPCyU2/MHgsIksoWRJvEQhNpkeDylNggQJ4sKoVkStLeuXlsAoOYbDIt61b7jPJULuZW1pfpoGnzbacNEUMx5YPhsPDyphsCSei6daotbTR68vxwJryMYNXUfL1bAO7xtLTPIFaaJt6HZ6sagoE9My9ET7vO3m+Tja0k+870XTM3DZDzJiJn5Ze7B5z0l4Avw621tumsd7HlqVDGsqrTzScG11CXqc3gsysTucvzVamz2atkljXag/Mopfai/cVzhnc3IEdLYk7Iadh/B1jxM/+kYxJyVfmKHFw9eWcT+TyBCx5kEhwY9UyininGDAcPc13Nxi/50IYSjWsx1JsoAlcRVnGbDAaoHLF4A1XY/pmVKiQQxMy9CjvMBM9N1ZshH7OdL7Z09zRo6fysJ03vfnD5JpBtw+/Or6cvx8sDwfuw6yBys0ShlKc004a3Pw3nHk3ivPrIFRo8R8axqyDBrIZcC8qWnQqeTwB2ksm5MbNaeHG395Zk3UPuf+5bNh0anQ1u/Bsx82cJ+9/KIMLCrKjOsZx7OWsSqvkc93NKq9YvVNggQJqYvpmeS1nSVrShAP2YLxsNRMII0Xpph1UCkGULOkCDQTIgmrFDJMMetEb8ukIccnTFJ8QnSIechYAhnpg8opkWtUMpRTpNiehFTDVIseU9KceGJ1BZy+APQqBYxaOaZaxPWnpqcbcbrDybNxaqUMRemjLWozcaFUUsT1QqlIzVhQrlmN//eNYi4XrFHK8NC1ZcgVmbw2USCUL04GwUrQb9NItkfC5ESmgey7ZSZ40IKKVaGMoqiLGYY5SFHUv5L+zjDMPxJqbYxQWVnJ1NXVEf82Hqc9R4rGLgeu2bo/6iXvWV+FE232EQWRRxKAZp9ZPAmd4a4ffk8/uqIYL30cnZTaXVvFJdY67R7kmjQI0kCXw8MjQkW2s3nVXExJ0yBDr+a+T3p+axcX4aWPGzny1reeif5MZB9I903TDPad7sCRln6eAkX1zJyEx1Qiz3gUGPaCseaOBAmphKPne3G+zw2aBreBk8mAqWlalE+1kL4Sc/5cSHMnXjtC+tzmVXPxrTl5UChGdlIz/JoWnQo3VhZgRo4RpbkmLpkcz3pK6tsjK+dgVq4Rs3JMaO51Ee3H7toqFGUZBO3zu+sWQyGn8EVzH+594yjXx+mZevS5fJiarhvWRtA0g6OtfVjz/CeC7QPA4fO9xM/sqFmECvIYHi9MCNuTyLgdCz+R1J/1S0tQkmOIGiNCfb+6NAfNvS502b343u8+442FwgwtHl8VClAJEWoS8QmFxnz4mBS65uZVczFvqhlt/fw5KTRXJ5OvPgaYdLaHphk09zjRMeCNSegKf/9ZBg3O2hx47u8NuH7BVK6sWrjdkMko4rhg18z99d0oyjJg856TaLK5OYLPjs+acabTwRurYzHGvup0EPcYNUuKsHVvA+93kfMoFuKZt/HOV7ExXkQnAUwI2yNBwiTFiG1PIEDjeFs/7/DZSP1+CcI4+XUfjrYO8MjlD19bhjn5Jsyekjbe3UsZHG7uxZoXCPutHyxChTXxmAEgPH8ONffiTMcAdColF59w+fyYkWPCPHJbEiRMWJzrdmDvqU48/tfT3Br1k3+biaWzsjEtk+iLjnjuHD3fi4ZuJ852OznSxPRMPYoz9UKxPQkSJjz4/pQWZXmmWP7UiPw2of3qe3dW8dSBUwkXmq290N6xzxfEW0e+jlLtum7uFKjIKlYjtj0+XxAf1nfCH2C4saRUULiiJFuoLQkSJjQONfXgs6ZebPnbGW7+bLhqBhYWWjCvMJ30FeL8iUm5Yxjm4OD//0FRlBaAlWGY06Pu/ThhggVBhw12Cyn0tA94RiwBO5IT4Ymc/iCVMduw8xBmDQa4w+9JqOwMK7sf2Wa4IaRpBioFhZolRVDIZCjJNuDXYQkGNhG37eb5PEJQaZ4JmQYVV24OICs4sc9kuPv2BRhBBYpEIJ2wkSBhbNE24MXXfR488f5QAOTuq2dCIZehfLw7N8EhZEeAUJIz3KZdXZqD52+pRF1TD4J0qOSXUi5L2O6G28uZOUbsWV+F9oHhS7HFwuw8I16+bSF6nD6csznx5Ptn0OvyRSntkdRXhOzzqQ47ls3OBQC8fPslaOp28RIB65eWoDjLIBRk4/rv8pHrioeXpRH6jCsJMuWpgHj8HyKhLduI0jyT6Ao4bH9m3lmF5h4ndCoFckxqTokrHEK+1Xt3VoGigE57dF32JpsbbQMe3LPriKC6QCI+YbxqjKzSZeS8v2dZadS8J83ViearS0gcMhmFaZmx1zn2c+z7b+xyYNO7J7Cm0ornP/oKaxcXhcqoWS1YfFEmUfU1/KBBWZ4ZrX0ebN5zEndfPQunO+xgGGDbvga09XsAAKfaB8AwQGG6Du+f7Eg6+bDTTrYTM8KUakeiahrPvBWyUR0DyS1tJpUpkSDhwgZNM3GtrxJGjx6nH5981Y3ffv8S2BxeZBjU+NPnzchP045311IKrf1uoj1t7XejAuImJjvtXvS6Anjg7SHS9V1XzkCnwytqOxIkjAWs6XoUZ+ujFFqSUWKzqceN3318FncsuQhuXwBalQIvfvQVav71IolwJGFSYqz8qaYeJ9HGNfc4U5KMAgC+IE20tX6aHv7LkxCxSp6n4jtWKGTIt6jx/C0Xo9flh0WnhEKOpBx+kMkoOLxB/CJMbfuX15dLex4JkxYtfR787v/OYe3iIlAUwDDA7/7vHKakaTEvgevEpfFFUdQKAE8AUAGYTlHUPAAPj7ak2lhjODLMWCKehEosWfrREFSSSW6JNGR5Zg1uWFCAMx127ufweyLK3Bn4svukgP85mxPrXv2SU0q6i/Be/1JbhT6Xn0cIemTlHFw5K4dnaEYaGJ9I40mCBAmJwaJTova107z5+8T7p/HK7QvHuWdji5EmVCPtiJBNm5ljRM32Ot46v2HnIcxeXwWaQVztik1AIF2vtroEwNA6vru2KiapSkZRRPt1vseF94614Z5dRzg1vfAx9vTeeiywWoZNxMdTlkboMzkmqXSNEIbzf1i7btGpcMuiQl65umQEeGQyChdlG6II1ZHEPaEgwcn2Adz9+mE8f8vFxLGQplNyY3om4QRTrPlP+lu8/lJzr4s47+Pxj852k30rUv8lpA46BjxYPjefm3NsuTFWlQdA1Li4Z9cRPL66Ane/fhj3LCvF1aU5mJVrRJfdi5/86TD32TyzBjdWFsDuDuDtw60ozTOFylbG8N/FsDtCa3Rprgm7R0nIGW4t06kUxLZ1Y3DSTjpEIUHChQspPjJ20KnkmGe14JNGW+hwXacD86yWMVnnLyRkCZR6zTKIX5ojTafEUx+c4c2fpz44c8HFJySkBmiawYA7gPpOB3cAuDjbAJpmRE/G5prV6Pf4cbrdDmrw0v0eP3KkEpMSJinGyp/SC+4ZU7cklFohI9raHTWLxrlnyYFGKUNhhhbL5+Zz6+M7h1uhTlH10eYeJw6fH4gqczbFrBs2Dp8ojrf1c2QjIDSWfvHGURRn6Sda1QEJEuJCrlkNVVh5SYoCVAoqYX8qXgvyIICFAP4OAAzDHKIoanpCLU0AxGJ1jnUARMh5yLhtIbKMoZJg8Z4mD8doTuOKUV4gx6ThDJlRI4dRo+SVRdhy0zxsu3k+1r36JXYdbCHWupTLhvpic4ZUSO7ZdYR3jSyjalilpK/73bjvzWO8Z3zfm8dQkm3gLfwjDYxPpPEkQYKExNDn9hPn74DbP049GnuISeQRsmn/9e8Lop6zRafiSo7F067QtfN/sAjlBWnDlgONtGnNPU6cah/AHVVFAIBdB1uwdV891i4uwrMfNhCV9miawdluJ062DaC+044PT3Xi/uWzefaNJS2x9krINrl8gZjPkqYZyCjg0evLo55RuP0fiY8gITZYu37DggKO+ACMXcJMaE7OzjMSA0FnOuzw+Gn87uOzeOjasqi67L//+CzX/+YeJ6Zn6rk5kWfWCJbnBSBYMjZ8TrDXyjZqIJcBbf2huTYa/2i4U3ZSubWJhUTfh9Dnc0yhMSQ0bhiG/De3L4CfLSvFSx9/hVm5RkzL0KOx28HtLyw6FW69rDBqr/H9y6bhoXdPRrXDjk8xgrxCazSrljbStSSeZ+4LBlFbXcIjTdZWl8AfTM2TmxIkSJgYkOIjYwdfkIYnQPMO1224agZ80jovKnQqOdHHTgaxq8/lI86fPpdP9LYkSEg2TnUMoKXXzVuj1i8twamOAczJTxO1LZWCwrorSqJK6KiV0h5RwuTEWPlTerUcP/m3mVGlD/Xq1CUvX2hK8TIK+H/fKI7yY1I1hNYx4MVrnzdzCi0A8NrnzXEd/E0Ubf0ClYn6PaiYKmpTEiSMCcTyp+IlHPkZhumnKN7FmYRamgCIRzEgUYw08SHkPOxv6MY7h1ux6bpyKOXUsKVjIvsy0uRxrO8CiPserRYd7qwuwX1vHsPaxUX4zQfRCbv37qzC7toqnOmw42y3E+uuKIYnQINhgFcONGHe1DQuCUZSiNiw8xB21CwaVilpwBNI6sKfbSSPp0iFJgkSJEw8mLVK4vw1aZTj2KuxhZinZoRsml4dfWLmxsoCjkgT3m444Tae0jB7T3eitd9DtHFCNu3q0hx80dzHC3zVVpdg+ydN3GYk0i8QUkQK0jRqlhSBZkIyk9s/acKNlQVRYyryZ1ZGnOQ/AOCV9KpZUoQZOUaU5kaX9JJK14gP1q4PV/I1WYhVOi2SuPDo9eV4/K+hKscfnukGAPzPLRdjwB2AWavA7z4+y/2eXdvCx3Ht0mJuHoS3Nau2CjIKqO9wRAWI2XKApNJz1nQdOgY82Fl3Ho9cVw6NUgaLToUbFhSAokKkpVyC+lbkPIh1yk4qtzaxkOj7iEWoszm9uNhqiblPI/2tqceNlz4+jvuXz0aPM1RyZN2rX8KiU+Hx1RXQq+T4f69+wRvnT++tx3PfvRg/+bcZ+MMnzWjr90St+yS7Y9Gp0GX3xr3nS8YaHe8zz9CrsaOumSeFvKOuGcvm5I64bQkSJEgYDsmIt0kgI0gz2PI3/gn9LX87g99+r3Kce5ZasDl9+K+/N/Ds6X/9vQGbrpsjeltpOhVZsVSrEr0tCRKSjT6XnyP8A0M+eHm+WfS23D6GS46xbd3/1jG8fJukDiZhcmKs/CmaYVBg0YZKH3oD0GsUUMopMMykS/nGjQtNKd7tpzmyERBaHze+fRy/+/4l49yz5MAXCGJNpZVw8Ep8QtmUNC1xLOWZU3MsSUh9iOVPxaufdpyiqJsByCmKKqEo6hkA/0yopQkA9qSpRhm67dGqAbBB32u27sd3XvgU12zdjz3H20HTwxtm1sCFQ6OUQa+SY02lFTXb6/CdFz7Ft57ZjxNtdiycloGiLEPMILVQouqczcmV6DjwVTcauxxRfRT67tluZ0L32Nzr4lSFhBJ2XY5Qwm5GjhFP763HE++fwbZ9DXj2wwb0unzQqeRcX4QVIoLYdvN81C4thkouw1Nr5qEwQ8s9x9rqEmQaVMRnnCvSwi+XAeuXlvDGE6vQlIoYbgxJkDCZYPf4UVvNn7+11SVw+C4chaNYp2YShZBNyzGqo+zujGyjIOGWZGOErh2kwdm4SAjZtONt/VFkp6376nFjZQEYJtovoGkGR1v7oq61dV89BtwBaBRyvLi/kbNflxSmc3396HQnNi4v4937IyvnoDBdJ+g/NPcM9but34Otextw9+uHQVEg2n9WJWNRUeawPsJIcKGt+6xdl1MgjrlkJ8yE5mSXI0Ss211bhddqLsXu2iossKahN+zE84dnuvEf2w9ieqYOx78ewIGzPVy/1y8tgVJO8cYxLaAY02n3oGPASwwQdwyECB2Rpeee/6gRd79+BM/sa8CaSiue3nsav1kzD7deVoiXPm7Etn0N+J+PGnGizY5AgObG1FedDuw73cGbBwzDEH2rHJM6pp8rYeyR6PsQ+vyx1gH840w3zvc48cvry4n7NNIerra6BH/+ogUeP41N756AUi7j5lBbvwenO+zodniJ47yuqRfP7GvALYsKUZihxeZVc3n7wUi7k2fW4LZ/mYbv/e6zhPZ8Yq/R8T7zaRl63LOslJt/L33ciHuWlUoKeBIkSEgqxI63SRCG3Us+XOfwpuYJ/fGCN0CjyebGsx82cDHLJpsb3ohnLwZcvgAxPuHyx1bHlSBhIkJIRcSdBBWRHidZHaxXUgeTMElhtejwyMo5UbFEq0UnajsMAzTZXLj7T4dxz5+P4u7XD6PJ5kIqh/0uNF9VaH3scabm+qhTKaLU6rfuq4dWKX6ZQKNaQYxdGi+gg+wSUgti+VPxzrY7AfwCgBfAqwD+CmBTQi1NAIh90nQ06hAkmf2QYgKDbYMlXRK9ZseAh3eaHAiViukY8OBU+1DZjMIMLaegxJ7QFUpyhSc/w/sTrxIFiemZa9KgscuBjgEPXvpeJY639mPAG+RKdviC9LDXyDZqcKrdzjt9/+CKMvS5fbB7gthR14xvzc3FIyvncAQo1kEryxPnREVbvwevHGjinXZ65UAT5lvTRJfpG29IqgISUg0qhZx4+v+RleXj3bUxg5inZoRKx1jT9bCm63l2lyX2RLbLlsyJtHnTMvR48sYKnO6wc+Wd0nUq7PqiBWsXF+FMh537HLseCdk0IcnT0lwT8sxq3HhxPoI08OlZG7KNGpy1OXCkpZ/4nSyjGq/XNWNHzSK4/UFkGzWwWnTcc6iakY3nPuKfiH1mXz0WWEMlPUm29eXbFo6Lsg4JqbzuC6lTsnb91ssKo0rmjUUQIpZyYmT5V5pmiHNuVo4J7QMeTn1LRgElOQY4CUFfofl/zuYk+pNsOcBYpee27qvHY6srYFArokhLG3YewvO3XIyDTb3YWdeCXpcP65eWwKJTcXPznj8fwc+/WRrVf2u6Hp+etU2Y+SEhcal3oc+f6bRj274GaJQy3PvNWdhZswiuwTU1fF1fVpaL/JpFON1uR1OPG9s/aUJbv4e7To/Th+mZem5cf3S6E/d8cxZxnM/IMeKOqiJ4A0Hce81sZOiVvHUt0qbdellhlJLEhp2HUFpbBWbw3uJVug0vG62Sy+DyBeP+brzPXFLAkyBBwngh06jA775/CbocXmQZ1JDLUzhrNY7QKeVE+xZJmJcwOgipIpu14ieTFDIZMT7xywsoPjFWkEo0Jx8mLVm11qARP+lr0JDb0qvFb0uChLFAc68Lz+yrJ8YSxYx7OLwBolriSymsliiTUbhyZjb+sPZStA94kGvSYO4Uc8raAFaMIXJ9zDSkpnqizUk+cGZLAsGqfUA4Lzxdik9KmIQQy5+K99PfYhjmFwiRjgAAFEXdCOD1hFqbAIhM2IwGo6mpGh4IbrI58eX5Pmz/pAmrLi4Y8TXzzBrcelkhl+AZYlYqcNvvP4fHTyPPrOEUlMITVDNzjIIlLISUKF7c3xiVfAxPYO862ILa6hKejN22m+dz5dLC+7jrYCjxtOWmecgyqGNeY8tN8yCjgP98nZ+sffCd41h3RTFe+jjUr6kWPfLNOpRkG9De70GuWYOyPDMUCnGCMDkmDXpdPjz7YQPvmaWiZLiYpZckSJgI0CopfPsSa9R6qb2A6rwLkYRGQqoYLrk5HFGCLWsGkG1ekGZ4BNO7r56JVQsK8Ks9p4hkGCEylVDQ+GT7AJQKM77u90bZJ52KHNBv7XPj2wsLo+wK+xzOdNjx7IcNPBsBAJ12D0euCofHT8PlC0yYUhSpuu7HIlKxdn3zntPIM2uwdnER5DJg6axslOenJT0IwSosRa5LJOXEWHOuemYOijINvN+fszl5Y2vXwZaottj5TwFEf5JdG9j5JaRC2dBpF1RQ+uxcL17c38jN+af3hgJp7DxpsrmRaVBh5bz8qPuSSrVMLCT6PoQ+Hxz80eOn8ehfTuHl2xZiUVFm1PdlMgrl+WkYcAfwQJgsOHudL8/3we2nse3m+dj07gksm5OHe984io0ryvDQO8e5sbxxeRmefP8UmmxuaJQy3L98NmbmGKLaCp9fdkKZZotOhYPNfbjvzaNxkzLZ9WfznpNRUt/xEDoTeeZi7nklSJAgIR609DlxtsvNlW7QKGV46Noy5JqcsKZLa5GY0A+eqo701QxSgl1UDLj9UfHI2uoSDHjFV0XWqeTE+IROJRe9rQsZqXyoZiLB4w8Q5443IL7CkVEtJ66HRrU0dyRMTnQMeDh1vcjfi7m3I+1xPX4aDk/qKusFAjTePvp1lDjByop80fKFEwl6lQIPrijDg2HxkAdXlEGnSk1/MddMLnOWa1KL3la2kZwXzjJI8UkJkxNaJUX0p7QJHmiJd3X5OaLJRaTfXVAYSeKDdJJiWoYebv+QPFX4NfPMGtxYWQCXL4jGLkfMkxdBGsQSGBcXWrjfkU6jb9h5CHvWVxETzzkmNfEeYylRsNdp6/dgR10znr+lklNTYhjgW8/sj+ojm2zasPMQ3ruzKuY1pmXo8fcznUSnqCTbiN21VdxzkskoVEy1oGIq/9nnmTUI0qHE70hPtIiZrJ/oEFLPklQFJExWyKhQCctwFQ29Sg4ZlXobDCGIrYAQb3JTiHDLKlVE2tFzNid+uusIz2488f5p1CwpirJl+TWLUJ6fRlyfN6+aiyffP4W7rpyBpz44QyQ7saQm9ppP763HuiuKicGy7Z80odflQ2WhBTTDV7hgn0EsH4H0N2u6Httuno8jLf2cmlN5gXlc7MpoSNUTGbGIVJE+DEtgHguyESCsnDg9Uw+aQdT8FJpzpN9HzgmVgkJxlgGbrpsDrUqOaRk6zM4LneyiGbI/efXsXNA0AxkFPHp9OZoiSEzAEIGEomIrmW3dV4/HV4eUywxhwWCNUoZ0vZp4XxeS3zUZkOj7EFJ3ZddfYIh4ySqhkvz1y4oysHnVXNwzaBci1+T37qzC1m/PR+1rX+Lbl1iRrlPhqUHZdH+QwS93n0CTzc21t+ndE3jvzqqo/obPo08bbVHj+cbKAo5sxF6LRMoM33/oVAps3nMSy+fmE/djwxE6pTkgQYKEiYz2Pi9HNgJCa9vGt4/jldsWSoQjkWH3+JGhU+KJ1RVwegPQaxRwefywey6c8uBjgSyjBpveOxGlOrR1zXzR2/IFaWJ8wh+kh/+yhLiRqodqJhpMWhX2nWrHY6sr4PYGoFMr8PI/G7GoKF30trwBGhn6iPXQ64c3IM0dCZMTOhVZZUJsAqpRfeGpgx1v6+fIRkDIBtz35jGUZBtQMdUyzr0TH31uH3RKCs/fcjF6nH6k65Xoc3rR707NkmpGAUJ+MsqcyWXAIyvLoFEoONvj8QeIB0YlSJgMoEDOlVJILB8S04JQFPVNANcAyKcoamvYn0wAUpfuGicSDfrGOknBJl97nF6UZBtwz64jsOhUUSfMY5286LSTk4NO75BigtBp9PYBDzHxDCAuJQr29HzHgAdmrQIbrizBgDcIGQX4gkEsLs6BTEbhwFfdxPZZEovHT6PLQe5L+D3rBZyvNJ2SuEkMf/aJPlchXEjlCoTUs3JNEmtXwuREW78H//2PRo5EF6SB//5HI+5bXjreXRtTjJcCAtsuiXDL2lE2SXumw060G5F1xT1+GntPdaK1z8Ozq+z6bHN60drnhUYhwxOrK3Cqww6GAUd2ElJk8QRCpXkeW10Bty+AXLMGT/71NNr6Q8nwL5r7cO8b0QoXw/kIpL8VputwuoNfLnTLTfOS9h5iIVXVZIYjUo2FXReS8Rc6IXO0dQA/3nFoVKdvWZ8l47aF+PJ8L4waJe587UtunD16fTlm55lB0wyaepyCz+h0h53zpW67vBCbrpuD+986FuUjZhlU2Li8DA+9y1eW+eNnQ/7j6Q47XtzfiPuXz0aeOXTvj15fLuhHX0h+12RAou8j8vNahRy1O77kyKZAaLwrFTJcs3U/LDoV/r9/LUK308cjYFbPzMGKuVOQa9Jgf0M3bx0HgC6HB3IZhdsvnw5vkMb6HUPj/JGVc+AL8I0Hu/e4KJtvB8PnqVETHbiypuuGJWWS9n611SWQycj2ZjhCpzQHJEiQMJHRaSeXMeh0eMepR6kLjVKOPk8AD7wzVP53w1UzUJgpKXqIidIcI350RQkeCPN1H75uDkpzTaK31evyE+MTG1fMFr2tCxmpeqhmooECsOpiK376p8NDe8EVZVzsX0w4vAH0ugJ44O2h9fCuK2cg03jBp60kTFL4gkHioUexCagKOVnNQilP3b1l54CArzqQmr6qTqXAaacDP/3zkB/zk3+bianpqXlgaSzLnA14/KBp4O4wO/fwtWUS+V/CpEX7ADlXen+CudLhKKtfA6gDcC2Ag2G/twO4K6GWUhCJBn1jnaSwWnSwe/zodvhwUZYe765bDJvTh+/97rO4T866/UGsX1qMnXUtPKUIa/pQ0pP9HSmBKJR4Hk6JItekiQqm33XlDOw6GOqHRinD7sE+ZxvJCUyGGfp3lkG4LyxyTGqiU5QjIJEX/uxvWFAQdXJ/pCdakp2snyi1xYXUs66enTvmfZEgQQxkGdUC0pfiy2xOJoz1miNkRwFwduWOqiKi3YjsFqusEr6es6SmczYn7J4AfnFNKe7+02HcUVWEF/c38q4pF1BkSdcpsWxOHi9Y9vC1ZcgyqaGgZPjBYIlSINqexPIRIv9mtehwvK1/wpy4TFUljeGIVGLY9VjzKBCg8d6xNp46y5ab5uHq0hyctTmifJu7rpyB3//znChjQSajkGVUw+UL4jcf8G36vW8cRUVBGk532HG6fYD4jJRyGU61D+COqiLsOtiCR/9yGoUZWuyoWQS3PwitUo7a10IEkhsWFOC5jxp4G/3nPmrA8rn5ONI6wFM72vTuCTy+ugL1nXYssJLVpGiaQXOPEx0DXjh9ARSm6yWixQQAab7EGv/hn6dpBvcsK+WtMY+tmotfDBI4b72sEE5fkCNgFmZoMSvXhH+c6URhhh6ZBnXUOs7OZbvHD5c/GOW73vfmMaxfWoLNe05HfScckfO0MEOLu6+eyTvpk2cenpRJ2vux6l4jJXSOZI0KBGgcb+sfJMpqUZZnSknJeAkSJIwvhNSxc4wX9v4qGZDLKGz52xmefdnytzP4w+0Lx7lnqYWWfjfqznbht9+/BN0OL7IMarzxRTMqCy2i782yDCpifCJTrxK1nQsdqXqoZqJBRlFcSWMgtEY99M5x7KhZJHpbJo2SU7Bm23rqgzPYLq2HEiYpMvRq7KhrjlLXWzZH3ByMRiEnqlmoFalLXk7TKQUFDFIVj//1NG99fPyvp/HqHZeOc6+Sg2wDOdeTqRd/L+L103ggQtn1gbePS7ZHwqRFtki50piEI4ZhDgM4TFHUqwgR1GcM/uk0wzASXQ+JBX2FTlK093vwRXNvVP3QKSYt8fPhNVtJJ2fXLy3BKwdCZQW23DQP0zP1mJ6pj1JQipVAjLf025ab5iEQZKKC6U99cAbrrijGE++f4Z0WkctAJAq9cqCJ+3c80nPWdD1mTzGGJFN9AehVChi1clgFGLrhz15I5SnWiZbxIP5MpNriQupZpBPhEiRMBgSCAWId40BQ/JryExGkNQ3AuKw5kXaUphkcbe3jiA0fne6MOt3z6PXlsLv93EYxXFnF46fRZHMS76l2aTE8fhq7DrZEXbM0z4Sf/NtMbjPG2qSZuUasfZlPKnr27w2oWXLRsCckY/kIkYn3Pcfbcap9YMKcuExVJY2REqni9QNi2W4A+GejjfPBgCFS2Y4fLMK6V7+ERafiAksyClDJKY7kLcZYmJahx4xsI3GcNfc4OfWiyPnxy+vL8eu/nEBdUz9vvjXZ3HD7g1hUlMkRSDbvOYlZuUZQVD4AcAR0YKjUWqRaZn2nHbNyTUQ/jqYZ7DvdgfoOx6jVKSUkF4n4rqQ1xub0cuXOCiw6/GSQ6Jln1mBNpRV3hV13283z8cjKOVH7J6tFh8+bepCuUxHH+fRMPWqXFguWraRphpun4eWE2/rcuHJWNlz+ILKNGhSYtYLtsxCyEW397qg5lixCZyBA483DrVH9XFmRL5GOJEiQICrkFEVUN5RLdlp0dAic0O+wp+YJ/fFCv9uH+dZM3P77z3ljeiAJpUjsXj9+cU0puhxezkfJNKjh8EmhdzGRqodqJhqc3iBxjXL5xI+3dTnI62GXpK4nYZJiilGDH32jBA+8Haaud+0cTBGZGEnJgGyTGul6NZdbU8iR0iWhXL4AUT3K5UtNRTSh9bHbkZol1dz+IO795iyeSnaGXgWPX3zb0yGk7Cr54hImKXQqeVQVg03XzUm4nGe8RTkvB/AKgHMIEY+mUhT1PYZhPkqotQscQjVYlXKKWD90++0Lh63ZSjo5+/Teerx820JkGdW8hBib2FxAMyjPNwsmEOMp/Rb+3b+f6SQusCz7Lfy0SFv/kLSdNV2LrsFFeNXFBdAMBr1PtdtBMxg2sen00jzZulhlZyJPsSRyooVNdB1p6Y8q6ZDMJNdEqi0unQKSkGpQK5VgGDfvJAfD0FArUrdWNQuhNX52njFpa85IyRqFGVrcs6wUzTYXHl9dAYNahsIMA2QU8L3ffYbHV1egrc+F3DQdznU7seriArxzuBVfnu+D209jZg7/nmgmtHa19Xuw/ZOQLZLLgKWzsuEL0jjb7eTGBCu9emNlQZSNWz43H5vePSGovpTo2siu92JdTyyMV8k9MSCk6DESIlUiJIpw251n1uCGBQU41T6A/DQtzFoF6pp6iD5Ta797kIjg4Z0m2HxDOfdvMcaCTEahNM8k4F8quD7sOdaGLTfNw6n2AQRpYOveM1hTaUVrnxdt/R5s3VePtYuL8NLHjTx1qKtLc+AP0hxRJJxc1OvyYVZOiCz+y90neWqZS2dlozyfrG50zubEkZZ+TumGfWbj5RNJEEaivitpjWHHpssb4K5zw4ICLijIXnfdq19iw5UlvJOfz+yrxwKrBTkmDWxOH3Gcq5XymGUrz9mcqGvqgUWnwi2LCrF1Xz0sOhVurCzAOZsLZVPMnHLeM4PzILJ99n6E/OcZOUakaRX4l+JFcPmCST3McLytn7jPLMk2oGKqhffZ0RywmCiqrBIkSBg/MAB2fdHMlSHWqhR45Z+N+Nk3pZJQYiPLSFaTypLUpERFkA4b094AdGoFXk7SmNarFXD7gzwfZcNVM6BVpX58YiyRqodqJhr0anL+I9GkVTzINJDXw8wLXL1cwuTFsfYBPPt3/j7z2b/XoyhLj8pp6aK1I6Mo9Dp9aBsYIrrmmtQoCDtAk2rQqRRE9agnVleMd9eSAoNALjoZa/FEQIfdA1+Q4flSd189E50Oj+htZRlUxGebYZCUKSVMTti9ATAMHZUrdXgTI2TGu3PZAuBqhmFOAwBFUTMA/BHAxQm1doFDqAZrr9tPTD71uv3D1mwVOjnLgBFMwAyXQDzbTU4WzLyzChdlG6K+qxcyXoMbjPDTIjkmDSfNta66mCuFkGfW4PuXT+NkUIc7uZ5oQiP8FMuugy1RKkuxTrQ09zhR3+HgGav1S0tQnGXAtMzkJbkmUm1x6RSQhJQDAzz07smodet/16amrGg4hNbPl29bmJQ1ZzRkjTWVVt73Nq+ay6079ywrxW8//gqrL7byyp09uKIMr37ahOc/asR//fsC3j2FKxu19Xvw0seN2HLTPJTnp3GlSbfubeD3n4kmqcplEFRKGsnayK73Yl3vQsdwih6JEqkS8TnYd5ln1nBkBY+fxvMfNeLR68uhU8kFA6Kk3+vVCu7fQmMh0UT/9EyyTQ8vhVI1I5t3zwA4ktGzHzbA46chlyGqT829rigFp6376lGzpAgahRy/3H0Sv/hWaZRaphDZiH2mNJO4OqWEscdofddwf7Pb6eXGY6Q6KUvmM2tVGPC6eSpanXYPFk7LQOeAJ8rfv3/5bDz49rGYc5kdbzdWFnBko/C5zI7ZLKMKTTY3jyDIts9ea1qGHptXzeUpy9ZWl2Dj28fwu+8vHJOx29YvrLBbMXXod6NRVp1IqqwSJEgYP/R7fFgxNx8NnXYucbVibj7sntQ8RT2eUMkponK4Si6tuWLC7fdj1QL+XnPj8jK4/eKrDskhI5bJuxDiE2ONyXyoZrKAZmhsXFHGlVXTKGXYuKIMDMOI3pZaISOuh2pJyVPCJEX7gIe4z+wYEJc04fXT6HMHovJd3oi9YyrB7vXj5oWFvPzjXVfOgN2bmmqCBrWCuBYb1alJZjaolXjifX4JuSfeP42XbxO/zJlGISc+W20KlySUkNqgADzw9omovMTLt12S0HXiXV2ULNkIABiGOUNRVOoWtxQZbCLI7glARoVKijl9QY5Fu+XGecQkU7pONWzN1tEqz5CSVE09TmJgurnHSSyflWNSE537KWYNdtdW8RJfQsSff7/UGlVzOZzkFIlEExqRp1hyTRpcPTsXXQ7+iRbS8+gY8HL3xrbz9N7QCeZkEo4mkqqQdApIQqphosmKjqUygND66fIFkrLmjISsAZAVLe7ZdQTl+WYUZRmwrCwXBWka3PT8J7zPPPjOcay7ohhHWs9wJ+vCy+LIKOBPP7wMDm+At5ZNy9DjksL0qGfwzuHWqIRxaa5JUCkpFnFCCOx6L9b1LnSliUQUPeJBIj4H+y5J4/feN45i/dKSKFLZ5lVzBX2paZk6vFZzqaDdHUmiX8imAyECEVsS7Y6qIgBDJdFY4gcgrEok9KzyzVr8Zm89el0+lOaasDsBfyLHpIGcSkydMlFc6HNGLIzWdw0fmz1OL6aumouf7joCg1rOlUEzqOWgQPGChOEqWtlGDWQyCpWF6ehz+3mnc7IMaq5kG4vIuZxj0uCTr7rw/cuL4PHTxLm8ec9JPHnjPK5P7ByJvFeZjMKUNA1vL7f9kya09XvGjCyXZ9YS30mumf9ORqOsOpFUWSVIkDB+yDZq0NDpjFJoyZJUkUVHW7+XUw5n7csrB5owPVM6pCAmNAoFnvvoOPecAeC5jxqSooQglYWSkEqQUxR2HRxSvNOpQupgDywvE72t8EoK4ethUaaBR66XIGGyIE9gT51jEtef8gSCeO3zZp6Ne+3zZswtMIvazkRCtlGDlh5+tQNtClfwoCjguX808NbH5/7RgGe+PX+8u5YU9Lt9RF+q3y0+oazH5cMfP23iKbu++NFXuOuqGaK3JUHCWKBPQBSn350chaODFEW9COAPgz//O4C6hFq6QEFKBK1fWoJdB1vQ6/KFTnVPMeORlXOiTuLPnWLGPctKY6rKjEZ5RihJlaEnS8LpBKR8rel6lOQYeMa6JMeA+VZLVLJGiPhT32lPkOSUeEKDdIol/NpCz0Mb0Q7bt2TXd51oqkLSKSAJqQSDgMSzXj32TPSxVgYQWj+t6clZc0ZC1iApWkR+Tyaj0O0kbyayBtVick1q/O77l6Cx24lN757g7suaoY96vjIZhcuKMqLIRfcsK8XVpTmYM8WMk+0DONNhx3//vYEjh0QqJY3knYWv96O9nqQ0Iazo0Rah6BEvEvE52Hd5qn2A2Iep6To8/tdTHKmssjAdlxdlQCajiL7U7DyzICFaJqNGnOgXsunDlURjmNiqRELPqrnXzfm90zP1XPvxYFqGHuUF5oTUKROBNGfEgxi+a/jYpGkGcwvM+KK5D/e+cRQeP43apcVR5fVYFa1ZuSauLZmMwqxcIyw6FVy+AKzpod8PN5etFh2+vbAQ9Z12aJQyorrSmkorvvvSp7w5sqOuGfcsK4261wy9Gi993BjX+pEMlOWZiPvMsjx+IHk06lQTSZVVggQJ4weNQk5UaKmeuXice5Z6MGkUnHI4C41SBkOKnlgfL9g9fqyptEapzidDCUFIBTVVy55ISG30u/2onpXLUwerrS7BgEf8uWNQk9fD8YjtSZAgBsqnmPHwdXPwwFtD+7eHrwvlCcUETTNEG5cMJbKJAo1Cjkf/cirK1r67LjV9VYc3SFTLcvqC49Sj5MKgIed6DEmwB9Z0Pc50OlD7xy95bbFxJwkSJhsEq1gluBeJdzf6QwA/AlA7+PN+AP+VUEthoCgqHcAOANMAnANwE8MwvYTPBQEcHfyxmWGYa0fa5niBlAh6em89Xr5tIbKMai5htLIiHyXZBrT3e5Br1qAszwyFQhZFzgnSwKdnbVyyCQBUCoqXoFIphpe9P2dz4pzNidPtA7DoVFxybsPOQ/jTDy8jnrLPMZHrH8tkFKpn5qAo0xDXaXVSkqvb4RUY0OQhmgwyjlDSbkfNZYLJ+WRCUhWSICF50KnkxHVOpxz7oMRYKwMIrZ/TM/WYnqkXfc0ZCVljw85D3OeEvkfTDDRKmWAZqm03z8fxr+041T4QlZwOf76RRI5vzclDeb456hlclG3A9Ew9SnNNmD81DSaNEjtrFsHpC45aEUXM9V5SmgBHOIscF5kGsh8zHBLxOdh3mZ+m5Y07tg+luSb87vsLie9ZyJcSIsRcXZqDczayKmXHwMgS/bFKok3L0CPbqMIN86s40lA8z2rzqrnIT9Ng1YL8EY1r1s8szjJggdXCkUeE+pAoUnXOjIdqk9i+q0xGgWbAkY0ACJbXmz81Df86I3vYOTPcXG7udeG+N4/BolOhtroE3kCQt56QFI+27qvHjppFRBLeeB8gUChkgvvMcIxGnWoiqbJKkCBh/CCoIOv0ohjGcepVaiJNryTuZS06SYheTBg1SqLN3367+KU5TBoF8Z2matkTCakNtUJOnDuvJKGszUSK7UmQIAZUKjmunZOH6Rk6tA94kWtSozzPDJXIBFSTgI3b8YNForYzkRBLTbA4J/V8Vb3AYetUJTObNGT/2KQR3z+enqnHkzfOw3++PhTnefLGeZLaqIRJC7H8qWF3LhRFyQEcZhhmFoAtI+xvJH4GYC/DML+mKOpngz/fQ/icm2GYeSK1mRQMF8wXOvHZ6/Ihx6TG2W4nOu2h75bnp6FiarQiUFGWAdMy9MTA+cwcI9a9+mWU4dgtkCQhBeDZk+ss6cjtD6LAouWRmAosWhSk6QSfw0jVb9jn5/IF8NSaefj1X06iyeaOi+QkNhlH6F35g0HB5HyyIakKSZCQHPQ4ffjL0baQ9KU3AJ1agRc++golBEW1ZGOslQGGWz/FXnNGQtaYVVsFm9OL6Zl6/GIw0cyqMlgtOs6WtfQ4BctQaZUKfOuZ/bijqkjw+Uba1sIMLTZdVw6FjIJerYDN6eXugX0+FAVolHJY9Kq47U48iX+x1ntJaQKQyYCNy8vw0LthtbSXl4HNrydKxEjU55DJKJTnmwV9ByF1H6ExcM7mxOY9J3lS17/9+CtYdEp0271Yv7QYO+tCJZ2AkB/oDzIIBGg097oSIpwIjZ+CNC0e/+tpnkqRGM8qXshkFKZlGpJSyjYV58x4qjaJ7bt2DHh4ZTFn5hhRmKHllUbTKGUoDBtnzT1OnGof4JUF3LDzEHbXVg07PtnxwJa4vPWyQty/fDankieXkQlPbn+Q+GzZOTF7fRU6Brxw+gIoHONTbwqFDBVTLTEV3kZDjBpvUpUECRImBiTy4dghEGCQa9bwYna5Zg0CwdRVJRgP9Ln8PB8ECPkUfS7xVVoAYGauAc/fcjF6nH6k65UI0EPljCVImExw+gJEf9mZhEoBNqePWFJtPGJ7EiSIAZpm8PHZbhxp6QfNAA2ddvR7/KiemSPqXt7pCxLnqcufmuo3AKATScFjssAXDKK2uiRKxcoXpIf/8iSE2x9Ehk6JJ1ZXwOkNQK9RwOXxwx1Izpi26OU8v02RmsNIwgWCHpH8qWEJRwzDBCmKOk1RlJVhmOYR95iP6wB8Y/DfLwP4O8iEowmNeIL5QkGXhk4HznY7o0pDCCUCSMmmzXtOYuOKMqJzcKbDDgBRQXTSKe6t++qxdnERnv2wARqlDCq5DE+8fxrL5+aDooAgDTzx/mmUTTGLkjwIT/QFggzue+soRzK6f/ls2D1+uHxBlOQYYqoIiZXQYPsjoyjiu0rXq7HAmi4pDUmQkELI0KvwzfI8nsTz+qUlyNCrxrwv4xGcH0sy40jIGmy/7n79MGf3NAoZehxefNTQhQy9Cpv3nMSNF0/FlDQtnrixAi29Ls52zM4z49OzNu6ZCj3fs91DNpEtk1OzvY5YJufq0hy8f7Ij4QT+RCmZdyEle8xaFXZ90cyrpf3KPxvx2Op5I34fic4ZMYk3Nqc3Sup64/Iy/OzPR3gk7VcOhMqe1VaX4P63juKX15fjjpfreGQ6pZwiko+G84WaetwcoWk49Z+xWF/EVO9JxTkz2VWbwt+vTinHbf8yjSvTo1HKsHFFGZ77RwM3/h9bNZcjt9A0gy+a+ziFsfDDFSyJLNb4zDYOjYe2fg827zmNwgwtdvxgEc73hUhOpPGiVcpB04zgODzRZp/QZftGs2ZJqqwSJEgAQiUpSSUcrRbhg2sSRga7N4D//eQcbr28iDs88/I/G/HjK2eOd9dSCtkmNW69rDDqcEu2wMHI0SBIM+iy+7Dx7aEDEw9dWwZzEk7lS5CQbFgtOqK/PDUJ9sCokZNLTGokdTAJkxNNNifqOxy8/ez6pSW4KNOA6SLu5Q0XmPoNIEzA8acoAUcll+PQeRv+55aL0ef0I02vxP9+chb/Upwx3l1LCrRKOey+IB545wT3fn/ybzOhTQIT6HyvE002Dx565zgvTpWf5kRhxsSPuUmQEAmTVkn0pxJVCJMN/xEAgAXAcYqi9lIU9Tb7X0It8ZHDMEzb4L/bAeQIfE5DUVQdRVGfUBS1MtYFKYqqGfxsXVdX1yi6Fj+EgvnnbE7uM+yJT40y9KhZQyaXUdymVei74WCTTS993Iht+xrw4v5GrKm0wqhWoDBDix9dUYx11aH/CjO0ONo6gGu27see4+2gaQY0zaCxy4EzHXYiQSmk2BAKfvuCNFffc9u+Bjz7YSig32n3jPqZsYm+a7bux3de+BQ/2F6HNZVW5Jk18PhpbHr3BOZPtWDlvHzRmdvD9efHOw5h/dIS3rtiT+eyybNFRZkoyjKkVAB9POaOBAnjjQDNRK3BT++tR4CO/1SoWHOHZCdSTRlgJGtox4CHs0W7DrZARlHY8kE9bv99HT5ttGFNpRXbPmzAhp2Hcffrh5GhV2PpzGzOdrAkgl0HW1BbHb22Wy06nGwbGLZMzt1Xz8Lp9gGcaO8n2vyz3WS7zSIeX0FMTJbxlEzbMy1Dj9sXX4Sf/ukw7tl1FD/902HcvvgiTMvQ85RP1lUXw6JTJe19iOU7qOSyqLH50LvHsXxuPvfz03vrce81pVi7uAjbP2lCk82N9v6QMkw4me47L3zK+Yfnuh048FU3vup0YN/pDkFfqLa6BH/+ooXrD6v+M16I9CXD/d2RYLLMGRbxzJ1Yqk0THZHvd+/pTo5sBAyO/3eO42fLSrGuuhg1S4ogjzhcEV6CjV3Lb6wsGJZERtMMztocUXPgnmWlMOuUuPv1w/jleyejbEptdQk2vXscH9V34f3jbTh8vg+BwNDzH2s7MFKMZs2aLHslad8jQcLIEM/caepx4ZnBw2zrqouxdnERntlXj6Ye1xj3NvXho4O4anbo8Mw9fz6Kn/zpMK6anYdAMHVVCcYD/iBNjBkkmpiMZ/4EaHBkI7atjW8fRyA1c6ASUhxKJYVN183h+cubrpsDlTIx/zCeuaNVKLBxRRmvrY0rypKSYJYgYSzwdb+baHu+7ncP880hxDN33IFA1L53/dISeJKkBjMRkK5TY0ddM89X3VHXDItOfCLxRABFMfjW3HwcbOpFfZcDXzT14ltz8zFBt+qjhtMbwON/Pc2bO4//9TRcCarrxRVz6/dyZCO2rYfeOY6Ofu/obkKChHGCPxjAgxH+1IMryuCnE7MJ8dK970+wf6Ao6gMAuYQ//SL8B4ZhGIqihDIEhQzDtFIUVQRgH0VRRxmG+Yr0QYZhngfwPABUVlaOiY5wPCUYwk98numw42jrALZ/0oRVFxckVL6BlGzauq8e/3vHQqy7ogT3vzV0imzj8jL88bMmLpg9884qnO4Inaq9o6qIyF6uKs7EDfPzMS1Dj3M2Z9JOeg+nsOTx02DAcP0Q4+R6vP1p6/fglQNNqFlShPlT01CYob8gTueOx9yRIGG80e3wEddgm9MX9zXEmjuSMsAQeKoWKgVXNieSDJSXpsNPBtWpgNC7u/+tY3juuxdz1wov8bL9k9DaPiPHiLI8E2gG+KihC6DAtUFR5DI5pzvseHF/I2bmmoh/b+5x4qIY8pITrWTeREEybY/QMwAwrPLJaCCm6k44XAJS1+ElFtixyp5E0ChlaO5x4YYFBQAQ5UNu2HkIT6yuwKkOO+RUSPXNolNF+ULpehVqX/uSUzdiry2W+s9InpnY6j2TZc6wiGfuTGbVpsj3SzPktfl42wC27Rsa76V5JhRlGQTX3Bk5xmFJZOdsTqx79UvMyDZwJVf1GgXKphjxdR+/1NpjqyvQ0GlHkAb2HGvDsjl5+OEfDvJUPVZW5EOhkKVk2b7JCmnfI0HCyBDP3GnqccIXGPoTRQG+ADOsrywhcZhU/z979x4nR1nni//z9P0y3T33SyaZXGBCwiQBYgR0AddEMLghRFDg6JF1D/6y7q4mLup61mWJIGfPsu7JvkA8R1HXBXddQVkhsIgguIssogaEkBBIQm4kmfutZ7qn78/vj57u9KWqu7qn+v55v17zyqSmuuqpquf7fJ+qerrKjB/85kTaE9B/8JsT+D8fuaCyBaszw96gYv4e9hZ2M0lL/Ez4lK9PTPq1X58gqhZDU0Hc94vDaa/luO8Xh7G09QL0tWrPB1piZyYYwSMvn0z23RNPfFvCJ75RjZoNqrySMKD9pq+W2Jn0hRVfn7OiBK+xrxZGA/DxS5amPT351itXwqj1kRw1RsaA6YzXwE77w4jV6WDmKX9YMXam/IUNONISP2M+5T7imI8Djqg2WY0m/Pjlw1n9qf+5eXVBy8k54EgIYQPwaQDnAngdwHellJoiVEr5gRzLHRZC9EgpB4UQPQBGVJZxev7fo0KI/wBwEQDFAUeVoPVifurrYT730NkL6IXcCFC72XRmKpgcbJSYdscTB3DLZSuw77Q3eTM0ceE+8aSH1EcH7r7hQrx7WWvyxkrqTdrUeRbyTe/EDaVDwzP41OUr8MjLp5I3r1JvmtnMBnS5bGV7/UzmDYDB6QDuffYIfrj9Et4AIKpjHofyo2PdFXrscjlfcVatlF51dde2Nfj6c4ezBgMdG/Mp5sRXTk6ir9WRfLpC5iCCvhZH1mvRdm0ZwDefP3vTOrNOSAm0OCxwWY0qjxvOXWfq/ZV51UppHxwdnVV88sn2K1ZoevJJroExpXx1nlodkimnvTazIfktpdSBVNe/a3FyW1MFwjEcGpnBfc8dSX6T7eb3LMXdT72V1hda29uML21erWufMKHYfVaKwRv1FjOl6MuXi9LxzVf/E8d/WZsTkahUnH91tztvLA57408F27wm/ZWrf/PhtVjf15z2qrVDwzPJAU9/9v5zswb13fbofvR3NuGCJS01PQCMiEgrj82MP3nfCoz5QohJwCiAP3nfioIfw075eYPhrNft7tjYD28wnP/DpFl7k1Uxf7c36f8khGq7PkG0EGO+YPJp1ZnT9RZOeeJboj388w+sRKROX5FE9c9tNyvmA5dd33zQ22xXfH1OT3N9Pu0HAEZng2i2mfD3H7kAvvkvF/kDYYzNBrGsDgda+cMR+ELRrNfz+cOFDcCpFS67cl/KadP/iXe9zcqvDu312HVfF1E5eINhxf7UTIHnl/nGbz4AYAPig42uBvB/iitulj0A/nD+9z8E8FjmDEKIFiGEdf73dgC/B+ANndavi0JfwbCszYn7PnYRdmw6FxajAf9w44VY2mbX9NnEhepUNrMBfpVRz6kDeBwWU3KexLdyb7lsBb7139fjyR2XZ93YSdykfXLH5fjh9ksU5ylE6qsRPv3Pr+A7vzyKT1y6FD0eW7KMUp59dONMIFy21w6o7VfeACCqb3aTUfHRsXYzH7tcKUpPLbnt0f2496aLcHl/e1pbHYrGFNvuaAxprwzKfMXLyUl/1jrueOIAPn/VKjRZjfjrLednvSbnl4dG8IlLl+K2x/ZnvUZn56Z+OK2560whfYXE609/9fYYjo7OFv2KKFJW7JNPtLzCq5SvTFKqQ3dtW4Mn9p1O/v9vr1uHJosx+Vjo7790ApP+UNogpFSJeEmU9Z5nD2NxiyPt750um+59wlTF7jP23fIr5XErtczj+/xbI4qvSfjlobPfV0kc/+PjPtz22OtZbfXd16/D8vb8g6263DZ8dEP26zW//JPXEYlK3P+JDdixKf4Ka/f8IFQAqk/IG5r/ckWtvbaPiKgYNrMheVPjvueO4FvPH4UvFM3K2bRwDotJ8Qno+b4IQYWxmQyKfRCbSf86zesTVE8SN2JTlepGbJPFjH/4efrrl//h54fgtLI9pNrU7bLh1itXpuWDW69ciW63vtc7mqwmxbzjstbvQHG72YhxfxhfmH8l7Rd+9BrG/WHY6jTXRmJQfD1fvY7H7HHbFev0ohLknoEeN+7atibrOu3AIo/u6yIqhyarWn+qsJyQr/d1vpRyLQAIIb4L4DfFFFbB3wJ4WAhxC4ATAG6YX8cGAJ+WUn4KwGoA3xJCxBAfGPW3UsqqGnBUzCsYQhGZNqr07uvXobfZhlanNednlb6pvGNjP8Z8QdVv/SYuZne507+VMzgdwHdfOIonc7x6Qs9veud6jdp3XziKv95yPmYCYdxy2Qo8+KsTWN7uLNtrB7R+A7xUr0kp1/KJKN3wTFDx0bFabkhSaagNBpkLR3Hxsra0tvrx107jf314Lf5q/mk1iZz40N6TuH59b8HrODT/2rT7PnYR/v2zl+PkhA+/e2cK33/pRNrr3BIDdo0GYGWnC+OzQQTC6Y81Tm3PO102GA1Ai8OMh7a/B+FoVDXfl/IJORSn9pSRfE8+0fIKr0KfulNI3ld7Wtf6vpbk/xd77Hjp+AT2nphADIDFJLD7hgtxfo8LU/4QlrY60l6/m3gCUmpZ5+bfa57ZFyrV03+KfVJRLT+9p5xq9alNmcf391d14pv/eSQtX3/zP4/g2gt7se+0F0vb7PjqtWsx7A3AIARCEZlsq60mA5a1O9FkNeD4uC9v/3pZmxMrO12K9fLN4Rl84Udnv+nzd9evw30fuwif+cHvACg/hal7/ssVtfbaPiKiYswGo4o3Ndb3tVS4ZPVnLqj8BPS5kPbXrVB+E/4Q/vXX8deozoUisFtM+M7zb+PPr1yp+7qGeH2C6shAjxtf+8g6HB6ZTT7x7tzOppLciB1TeR3huI+vI6TatLTNiRUdTmy/YgViEjAIYEWHE0t1vt4x5A0o5p0LlzRjeY1dQ9DK12B91WBYub+YeR27Xixtc6K/qyktdvq7mnSPHQAwmQzYdkEv+jubMDQdQLfHhoEeD0wlGJROVA5qr3eeKLA/lW/AUfJ5SVLKiBD6XBSVUo4D2KQwfS+AT83//iKAtbqssIQKuZivdMPqS4/syznwJ3U9iQvVJ8bP3ggFkPWKtMQgpo++qxfRWHyA0bc/sQG3PfY6TozPlf3GjNoNpYFFLmy/YgXue+5I8vVqNrMBPR572V47oOUGQKlvAvMmM1H5uawmxUfHNvFbUBWT65UzSm31Yo8dHU1W7D0xgWgMeGjvSXxp82rV3BaLSTgsyo9Xvfzcdlx3UW+y/V/e7sRcOIZJfyjtyRWD04Fknbn7urX4xxeP4XufvDhtHZnt+c5N/XjwV/Gnzey+4UKs72tVbNu1DGppVHoNylUbqJLvQr6WgTGFvDKpmLyv1N9M/F9peXdfvw5Xre6CyWTA0dFZ3PeLV5MXks7vceHup95M9r0SZV3V7cIPt19StsEQxb5mioM36lvi+PZuvxTPvjmCXo9d8ZUMFy1pxo8/fSlOTwWw/ft7s9rcf3vlFD5x6dK0xwFribPVPW7FenloeCatff6LR/bh3z97OZ7ccTnGfUEsb3emDYK9a9saDPR40pZd6AAwfiGBiGqJP6T89G1/qD5f21BJ7S7lV321NVkqWKr609fqxKGRWez4198lp9nMBvS16n8t1c3rE1RHDAYBgzCkfeH6/3z0wpL0Y91W5Ws8jB2qVQaDwMbzurCivamk1zscFuW847DU59N+gMbrqy5tcyq2j6UYgFMNyhU7CSaTARcsacEFS0qyeKKycunUn8o39wVCCO/87wKAff7/AoCUUroLWluDK/ab3AmJC9XL2s7eCA2EY3ho70nc/4kNMBtF8mI0AMWbT1qeprRQmRfHO13KN5TO63IDEJj0h5LTdt9wIQZ63GX95nq+GwClvgnMm8xE5eewxB9ZnvhmQ/L1WHV8YlXt8j21RKmtvuzcdixusWNkJoDr1/eq5rbEgIy7nzqYNUh39w0X4t3L0gcBpQ5oGJ0N4ju/PJqVwyb8oeRTNRLlV2rP73k2/kS/b/ziSM62faF9hHqVOZgm8TST1D6P1v5MsQNVtAyMKeSpO3rnfbUB7Wt7PVjR0YRhbyBtwEaPx4ZPvndZ8lGpibKu6W0u62CGhTypqFaf3kPaGAwCa3ubcXoqgLeGvDkvkv337/4mq83dfsUKRGPIet2Mljhb3p5dL//mw2vxtZ+9lTZfIBzD6Gwg+crOixbHcG6HU7dvt5XzCwkc2EREemh1Kg+CaXFwEIzeQpEYbr1yJXY/c7Yvd+uVKxGO8HXMelLqE2j5skIxeH2ifNjvKb3j4z58/kfp56ef/9GrWN2j/3Vuxg7Vo3Jc7whFo1nXR3ds7Ee4Xt+3BfW+amud9lVNBqHYXzTVcc7jtUKi4ujVn8o54EhKyd6Zjor9JncmLTfMjo7OFv00pYVQujh+38cuUj1JX97uVNyOavrm+kJvAuc7mdW6fJ4UE+lnzBeCx25Ke8ymx27CGB+7XBQ92qdi2n6tJxKpAzJSX4u2aVUn1qoMskgd5Kt087nZYUp7qsbuGy5Ei8Os2J4nHhCZK3fo1UeoN6nHrsdjw40b+rL2ezE34GUB92O0DIwppP5qyfuFxFS+5WXWrcHpAH7wmxN4aPulmAtHK9bPqrb+HpVeMa8SPL/HhaVtTnw55elBifj79bFxxbp/0ZJmBCOxovrvSvXSIJD8gkRCZvu80G+3Ze4bKVGWLyTwSatEpBdvIKR442o2GM7/YSrI9FwYT7x2JvmqL4fFhG8//zb6O3lzRU/l7Kt6A2HF6xPeAONHT+z3lEc5v0zFa3tExWl1WPHQ3pNpr1R7aO9JfHCgu9JFKxnVQVax+hxkdWzch+/91/G0Y/y9/zqO/s6mun1tXjnvn/JeLdUTvfpTfL5kGS3km9yZ8t1krdSTEpS+Zf+ZH/wOT+2Mv3JA6SQ99ZUgmY10rrKWq1FfyE1gLSezWpbPk2IifbU5LZj0BbGy0wVfMAKnzQR/MIw2Z31+q6GUYjGJ594axr5T04hJwCiAtYs92HheV1GDjkrxTYTUnJh4LVqPx4bfO6cdvz42njOHGAwCV63uwv2f2JB8fds9zx7CTe/uQ4vDgsHpQPJG8EPb36PYnicGt+TKHXr2EepJ6rG7bv1ixSeWnPfZyyEE8vYHUp90tWVdL4wG4N1LW/GeFW05n0Si9WaD1vqbL+8XmvPzLU+pbn1p82rVwXblxG8fNY5iXyW4rL0Jfa1OXLikOSv+1Op+4ulHxfbfM+tlLCax+4YLs9qOvhbHgvZH4jym02XDsfFZfOYHv0vum7//yAVlOZfjk1aJSC8Wo1HxxtW7ll5Q6aLVnS6PFR9512IcGZlJnn995F2L0emyVrpodadcfVWXzQyTIZB1fcJlM5d0vY2G/Z7yKOeXqXhtj6g4RgNw07v7sp5mYSz+Ib1Vr81pxXNvDsUHbAcjcFhNeODFo9i8pj4HWTlVX5tXn0MCyv2UaL3uhRBVA736U/XZulSpcn47plJPSlAb6DTkPfvKASWFJoRyJpCF3ATWcjKrZfk8KSbSV0xKjPvCuH3PG2knVisKeewJAQBOTvhweHgW9z9/NG1fntvRhGXt1dE+ZebEHo8NN79nKf7we7/RlENOTvqTT9VJSH1VGhBvl8PRaFZ7vnNTPx781Ym8uYNPe1GWeuyEgGIf4+CQF1/40Wt5j+XxcR/ufuogbtzQl/aNpruvX4dr1i3S5WlaWuTL+4XmfC2vI2TdokpbSF9WLf7y1X09v+hx1eouhKPxJ8Yu9NxD6Txm56b+tEGsh0dmynIux9d5EpFemmxGxRtXTVY+OF1vwXAMvlA06/wrFKnPb+g3AqNBKF6fOI/9dV2x31Me5fwyFa/tERVncDqAB391Im2g+IO/OoELlzRXzbVcvfW1OHDTxUvxFz8+e/3wrm1rFvRFomrmtKq8IqlO++blvH9aC/dCiAohVfpT5xbYn+KAozIr17djKvWkhGIHOhWaEMqZQBZyo07LyayW5fOkmEhfgXAs2eFO/f93bt5Q4ZLVnmFvUHFfru9rqZpOdmZO/OiGxVllzpVD1NpgkZIGbGYDWp1WrO9rTbbnHU02GA3ARX3Nur4irpGkHjtA+Yklh4ZnNB3LYW8AW9b1Zj0l6UuP7MPaXk/Z9nu+vF9oztfSj2DdokorRV82X93Xc6DdyUl/crBRouzFnnsoncdkDmJ9eO8p/M2H1yq+Sk5PfJ0nEeklEIrBaTGmPYbdaTFmtf20cHPhqOL517o/5LlsrZoJRBSP6dpeT4VLVl/Y7ymPcn7hhdf2iIrjUH36TX0ORgHi5/S3Pbo/rb247dH9WN/XUpfXyubCUTjM6X1zh9mIQDha6aKVRDnvn9bCvRCiQgQiyv2p7xZ4fskBR3WqUt9mL3agU6EJodwDcAq9UZd4TYJBCE0ns/mWz5NiIn3NBiOKbchsMFKhEtUuX0h5X/pD1bMvM3OiPxQtKIeotcGJlJqa65Ta84WcbDT6O6FTj92EL4j+zqa0J4z8zYfX4ms/eyvtM2rHsssdHwBWDQN4c+X9YnJ+LQ0oavQ63ajU6rXdbEQsJouuA7nqvp5xoee5h5ZBrJP+ENb3Nau+klovfJ0nEellOhDG//vPo7hu/WIIAURjwP/7z6P4mw+vqXTR6k4wHFPMI3zCUe3i9YnyYL+n/Er9oCHGDlFxQtEodmzsT3v6946N/QhH67cv0Whf6G9zWvGPLx7DlnW9yb75P754DN/75MWVLlpJlPP+aS3cCyEqhF7nlxxwVKO03KxJvciuZX49bgAVO9Cp0ISw0ARSyptdqa9JaHFYsh5dWMzJLE+KifS1yGNXbEN63BzEV6ilrU7FfdnX6iy6rV1IG536WYfFhFA0ijanFcvanMmceHR0tqAcotYGn9/jwnvPaSvZjeByvj60mqX2Z9bHJNb2epJ9DIOI35hPpXYsl7U58e6lrbqegJaijuuZ86ttcI/WOl1t5aaFU6rXOzb2Y8cPf4cvbV6tqV1TqxflqC9azj0yy9HX4sDJSX9WubQOYu1rPTuItVT4ykUi0svSVicsprNthxCAxSTQ18prFnpb2upQzCNL6vSVII1A9fqEh9cn9MR+T3mU8zoGr+0RFafNacVzbw7h7z5yAeZCETgsJjzw4lFsXtNd6aKVTKN9ob+vxYEvXHUeDo/MIiYBkwH4wlXn1e0r5Mp5/zTXvRCiWqTX+SUHHNWQ1IvYkajEbY+9jhPjc3k77pkd/aVtdnz12rUwG0Xy4jeAvPNoPSlQ+jZxvhsBhSYErfMrrTdzW/U+8Ul9TULifbjbr1iBi5Y0Y2mbs6wDuYhIWUuTCXdtW5N8lGrivc2tLnOli1Zzlrcrt8dLWx1FtbWZgzY/umExVna6sLrHjeXt8TZcLZ8oXdjasbEfD+09mXZDO18OUcodam3wQh+Vmis/lvP1obUis48Ri0nFY9nX4sDR0dms/fqeFW24+/p1aU9JWshgnoXWcbXPnd/jwgN/dDH8oQj6Wp1Y3u4seEDOQspXqsEbWuq0WrmvWt2lOHiDKqeQupLoy/ZuvxTPvjmCaAz4/ksnMDgdwN1PHURvsw3+UDRroGiu9j1RL54+OJw2/W8+vBbr+5qTA3b0oCVvZJbvrm1r8PXnDmedr1VqEKuaWnlCGgciElW3Jc12/Nn7+3H7Y2fPr+68dg2WNNsrXbS6YzYLxXNZi5ltYq06t92heEz723njSm+10u+pZcfHffjHF96OD2QIRuCwmvCPL7yNVd0u3fc7r+0RFaevxYH/74pzEI5IQMYHiv9/V5xTt4NRgPg2f/XaNfjrlL7qV69dU7fb/M6kHyMzQdz//NHk9n7xg+fhnUk/ltdhDizn/dOlrcr9tqWt9VmXqP5ZLMrnl1ZLYfHDAUc1Qu0mauJCfa4bkKk3d3o8Nty4oQ/bv7836wJ3vnmKHZCj5YaX1oSQeqH5/B4X/v2zl2N0Vnl+tfWe1+VKu9nV4rDgzSEvbGYDlhU5IChV5uMZB6cDuPfZI/jh9ksWdGLFk2Ii/UzMhmE2irT3GJuNAhOzYSxpqXTpaota+13sYJnE51ocFnzi0qVpj/e972MXIRSRqvkkM99dt34xApEovnDVKtz91MHkBa7MMnc0xV+19etj4+jx2PDG4IziOvRug/Plx0Z73K+SfDeYlepfX4sjawBCYr+aTAZcs25R2lOSis37C63jSp9b1ubMqhP3fewiAMDIzNmnpqhtX+p2FFO+Un8bVUudVir33U8dRDgayxoo1mhP+6om+QaHKh0Xg0HAH4ri3mePJKclzjtuvP+lnANF1erzQ9svzZr+5Z+8ju1XrMCqbveCzl+0DjwFlOvtbY/uxy2XrcA3fnEkK/5KNYi1XvGJf0TV7+CwNznYCIi3g7c/th/ndTXhAp5g6WrKp3wuO+ULo6+10qWjYhwZ8yke0yNjPqxbYql08YgKMj0XwvXr+/AXP34t2W/btWUA3rlQ/g8XiNf2iIpzetqPCV8Ydzx+4GycXjOA09N+LG2rz3PS4+M+3PeLw7jlshUQIv7Kx/t+cRgXLWnGuV2uShdPd0PeAL72s7fS+uZf+9lbOL/HXZcDjoD4dYOZQBhT/jDsZhNiMVmS6wUnJ/34+nPpdenrzx3G+r6WhrleT/VFr/4UBxzVCKWL2PfON2qJi9hqNyBTb+5ct35x8uZtYjm3PvwqHviji/POU+wTFbTe8Mo3oKbQC81q6/2/H1+fnNbjsWXd0F7oxetGezwjUS0KhKP40iOvZ8XpA3/07gqWqnYptd/FDpZJfE4pF+07NZ38ZkZiWmo+SXxWqW3fsbEfE75gct2JMmcO8Nix6dyc69BTvvzY6PlEa97PrH9HR2dz7le9BvAutI4rfQ5A1qDow8Oz+MwPfpfcB3dfvw67n3krbx0tpnylfqqWljqtVO4t63qTg41KUS4qXK7Bobn60pl1QKmtT5zjKLXvqQLh+NNElabHJIquI7naHrW2Q618QqT/PxF//CJBYfjEP6Lqp9YeD00HcMGSChWqTgUiMcVz2Qf/x8UVLBUtxByvT1AdicaAO544kNZvu+OJA/jnWy7RfV28tkdUnOHpYHKwETAfp48fwIN/dHHdDjg6Nu7DifE5fOMXR7Km1+OAI+9cWLFvPjMXqVCJSisSieHR105nPaFl2wW9MJkMuq5r2BtQrEuN9AVhqi969af0jTQqmXwXsXPdgExc2Afij0dUWo4/FMk7T+JGmF5lL3R5aheaj4/7Clqv02pKbqva4Cq1ZWqReE1CYh2lfF8oERVnwqfc6Z7whytUovqTmnsStAyWSXxOKRfFZO78lPis2g1sszG725OZW/KtQ0/58mOj55NC836CXv2OfBZax5U+l1n269Yvxj3PptflLz2yD1vW9aZ9Xmn7iilfqfedljqtVG6joXxxSdrkGhyaK04z64DasU3kgMz2PZXNbECPR3m6lMXXkWLaHrXySZn+/0YZMKq3crXrRFS8Ho9dsR3s9rDd09v4bEixTRz36f/0ECoPtesTk7w+QTVobDaoWJ/HZoO6r4vX9oiKM+ZTiVOf/nFaLWxmo2Jf1WY2VqhEpeWymxS312mrz+09MDidHGwEnH3q9IHBad3XVez1YKJqpVd/igOOakSui9j5bkAq3dzJXE5fa/55im0w9WqAC73QrLbeLpc1ua16D64Czr7e5ckdl+OH2y/Bkzsu5+P+iapMk025091k5YP/9FLsYJnE54wiOxcpTUvNJ8vanLj7+nWqN7D9oWjW+pRyS7lOGvLlx0bPJ8XeYC7Xid9C67jS5zLLrtZPyRw7p7R9xZSv1PtOS51WKve7l7byZL7K5BocmitOM+vAplVdOc9xUtt3pfo80OPJmr5jYz/+7ZVTRdeRYtoepfLdtW0Nnth3Oq28jTJgVG+8oEdU/QZ63Lhr25qsdnCgx1PhktWfJivPZeuN2vUJJ48p1SC1Aag9JRiAymt7RMXpbXYoxk6vx16hEpVei8OMnZv60/qqOzf1o8VhrnDJSqPHbVfc3kV1eoxzPW1Vb43+BWGqP3r1p9j7qhGJRiz10f53X78Ovc02XL++F8vanFk3IGMxiePjPgx7Azivy4Wndl6Osdkg+jubkq+lSDSGy9udWN7uxKodl2PCpzxPsQ2mUtmLWV6hr5ZRW29fqxN9rfFtHZ0N4ju/PKp5mVqV6zUJqce4y21TrAdElC1xkpF4ckjyJMNenycZmcrRdiRuKq/acTlGZgLodGlbT+Jz5/e4sLTNiS//5PXkMVq72KOaTxLb1NFkRbfblvZaNGB+wKk7u23PzC2PvHwqq26U6qRBS35s5NfuFPtKOb36HfkstI4rfS6z7IlBdoFw/FWB161fDKMBeM+KNjz26mmEIhIf3bAYKztdkBJp7ycvpnzl2Hf56rRSuftaHGU5pqRdoq68NeQtOE5T60AsJrOO7Y6N/Xho78m0Y5yrPm8e6MZ5n70cB4e8ODQ8g++/dAKT/lDeOqKWCwttexLLaXGY8dD29yAcjaLVaUVfiwPr+1oKah9IWbnadSIqnslkwLYLetHf2YSh6QC6PTYM9Hh0f4UBAS3Oxj6XLadyXXNrVbs+Uac3Qam+JQagZr7WphQDUBv92h5RsQZ63PjqtWvw14+djdOvXrsGA4vqd6D4qi43jo35sP2KFYhJwCCAxS12rOpyV7poJbG0zYn+rqa07e3vasLSOj2HTgx2zbyOU4qnrRZ7PZioWunVnxIy9TnvdWLDhg1y7969lS6G7hInuloasVhM4qkDQ1kXZTcPdANA3uUUsi61cqaekGtZp5blqm1Trv2Qa73FLLNaFFH2vBtUr7FDlCkQiOA/j4wiHJXwhSJwWkwwGwXed24HbDbFsbg546eWYqeW2j2lNhzIzicA0rZpaZsdn3l/f9qJs9o2Ku2P+z52EZa3NWF0Vr+TBrWL1QvJtzWi6NyT69iMzOS+6F/L+zW17N1uG94YnMHdTx3EjRv6kq+uspkN+Lvr18FoEPj8j17TNZardd9Va7lKrKpzTywmcXLCh1dOTqUNDi20Hqa2jw6LEeFoLDlg5+SkX/NNPj3PlbTmyVrKqbWuwDaA5z1Exavq3ENAKBTFUweHcGRkNnkD6dzOJmxe3Q2LpT5fk1EJsZjEc28NY9+pacRk/Gm7axd7sPG8Lt2vuRVxfYKoqkUiMRwYnNY6AJWxQ1S8ovptsZjEL4+MYGYumowdl92Iy8/trOvz2ALbppqX2N7B6QB6PHYM9LjrdntDoSge3XcGt6fcC7jz2jXYtm6RWv+Y1wyI5ul1r5QDjurU0dFZfOjeX2aN6Hxyx+VY1uYs2Td0tFx0X8g3hEpxs6lWb2DlOsYqTw1gEiWat//0FF58exy7nzmUbKtuvXIl3ntOG9b0Nit9pG4uvBfRdlQ9pW1a2mbHvTddhLlwVNONZ6U8UEi+yjVvg9+QXlDuURp8U+v7sdB+UCwm8frpKdx4/0tZcbv9ihW499kjadP+/bOX45zO2oxlylITuadU/fPMdvPu69fhD9b06HKBLF8u1LpN9ZhT6wTPe4iKV3TuaaSbGpV0dHQWf/RPv8GWdb0QApASeGLfaXzvkxcz9+jo+Ngsfrp/KOubvlev6caydn2vuRVxfYKoqhV4zsvYISpeUf02nsfWv0a7Fl1E/5jXDIjm6XWvtCJDvYUQHwXwFQCrAVwspVSMWiHEZgD3ADAC+I6U8m/LVsgaN+xVfmflsDeAN4dKd7Pu+LgvuezEOm99+FWsSrl4v5BEV4pXy9Tq62rUjvHITKDmtoWo3Cb94WQCBeKxs/uZQ1jds6HCJSu9emw7lLbpxPgc5sJRXLqiPe/nlfJAIfkq37z5ciOpSz02R0dna34/FtMPMhgE/KGoYtzGMr43EAjHcHDIi+XttTF4mupDKfrSx8ay280vPbIPLQ4LLju3fcH1O18u1LpN9ZhTiYiKEYnE8Ohrp7NeobPtgl4OOtLZsDeAE+Nz+MYvjqRNZ+7R17A3mBxsBMTz+z3PHsb6vha1AUdFa+TrE1R/ynmTm7FDVByex9Y/pWsqtz78Ks6r0y8pqvWPh72s00T56NWfqtRZ/34A1wF4Xm0GIYQRwDcAXA3gfAD/TQhxfnmKV/u63DbYzOmH12Y2wGExKiaa4+M+Xdabq7MCqA9I0mv9jUTtGHe69H8vKVG9mQtFFNuquVC0QiUqn3psO0qxTYXkq3zz5suNpE097Mdi+0FqdTzzeq3NbMCh4Rn2q6jmnZjwKcb73hMTutRvvfJGPeZUIqJiHBicTg42AuJt9m2P7seBwekKl6z+MPeUh0/lmoE/FNF9XXMqXy5ohOsTVH/Kee2/ka/tES0E+xL1T+2aysmJ+rxe6LCYVO+HE1FuevWnKjLgSEp5UEr5Vp7ZLgZwREp5VEoZAvBDANeWvnT6iMUkjo7O4ldvj+Ho6CximV9BL7FlbU7svuHCZCOb+DZBKBor6c26fJ2VerhZWC3UjvGyNmeFS0ZU/Vx25U6oy1b/ndBqbTsWkjdLsU2F5Kt88/JEXh/1sB+L7Qep1fHzulxp03Zs7MeP9p5qiH5VpfvaVFpOlYtF0Rh0qd+F5I1cda1acyoRUbkNTiv3cYam679PUm7MPeWxtNWp2Bfpa9V/P7c6zYrranWadV8XUakNewNocVjwZ+8/F5/ZGP9pcVhKco7ayNf2iBaiUfsSjXQdSe2aisNSkZcelVwoGsWOjf1Z10jD0VieTxKRXv2pam5degG8k/L/UwAuqVBZClIN78c0GAQ2D3Rj1Y7LMTITQKcr/r7k4+M+2MyGrPez6nWzLtFZydz2RGclcbOwVOtvJGrHmK9QIcqv2W7GnVsHcPueA8m26s6tA2h21P8FvWpsO/R43abe21RIvso3b77cSNrUw34sth+kVsdPTviw/YoViMn4+8m//9IJTPpDdd+vqoa+NpVWl9uK27ecjzufeCN5jHds7MdDe0/i+vW9C16+1ryRr65VY04lIqqEHo9dsY/T7anvPkmlWEwi2Qc0iPj/SV/L25XPPZa363/u0d5kxRc/eB6+9rO3kuv64gfPQ3uTVfd1EZVaj8eGm9+zNPlKQpvZgJ2b+tHt1j8fNPK1PaKFaMTz2Ea7jtTltmLnpv6strjLXZ99izanFQ/tPYlbLlsBIeLXSB/aexKb13RXumhEVU+v/pSQsjSjOIUQPwegFM1/JaV8bH6e/wDwBSnlXoXPfwTAZinlp+b//wkAl0gpP6Oyvu0AtgNAX1/fu06cOKHLdhTj6OgsPnTvL7MutDzwRxejw2WtaPIuR2KNxSSOj/sUOyuNltirjOIOrqbYISqXI8MzuOXB32LLut5kJ/SJfafx3ZvfjXO7XEofyYofxo5+1PLmkzsur9h7lgvJV1rmjcUkjo35cHLCB4fFhC63FX2t9X0yP0/X3JOrj1EL9O4H1VO/KnFsh70BdLlzH9tqbDNKpGFzTywm8csjI/AHYzg45EU0Fs/TX9q8esH1m3WtIfC8h6h4ReWeSCSGR187nXytms1swF3b1mDbBb0wmSrycPW6xdxUPgWeexSde2IxiefeGsa+U9PJQWTrFnuw8byumuvTE709Mos/+Hp2G/Xvn70c53QqtlFFx04R1/aI6k3DXjMoVKP1nxqtb5G5vUYBrM29vbxmQDRPj3ulQAmfcCSl/MACF3EawJKU/y+en6a2vvsB3A8AGzZsqOiz8NRel/HLI2P4zi+PVvRGUDlGLxsMAis6mhQTdSOOnq521RQ7ROUyOhvEifE5fOMXR7Kma70owdjRT67XTFXqpK+QfKV13reGZ+piYIgeio2fXH2MWqB3P6he+lWFDpyqxjajXBol9xgMApef24mTEz60Oi3whyK47qJeLG9fWP1mXWtsjRI/RHrTEjsmkwHbLuhFf2cThqYD6PbYMNDj4WCjElDLTcNe5ia96XHuwdxDjWZkRrmNGp0NqA04UqQldvS4tkdUb5h3lDXaub3BILDxvC6saG+q6euFhQhFJO5//mjatZ5CMX6oEenVn6rmV6r9FkC/EGI54gONbgLwscoWSRu112VIGU9itz78KlaVYeSs2rd3K32zrtLrJyJyWExY2mZPjtoFgMdfOw2Hhe95L+TJD3qp1tdtFpKv8s17fNyXvMENlLc/QNVF735QPfSrCo0PPdqMSrR1VBiDQWBZexOWtTclj9evj40v6HhVoq4RETUKk8mAC5a04IIl+eel4jksJsXcxHNZ/ZWrv3h83IevPvFG8vpETAJffeINrGiv7T4+NaZy9p95bY+ItGrkc/sSveSoqvC6O1Hx9OpPVWTAkRDiwwC+DqADwL8LIV6VUn5QCLEIwHeklB+SUkaEEJ8B8DMARgD/KKU8UInyFmpZW/Z7vnds7Mf3X4o/fq0cI2fr6RUbRER6i8kYPn3FubjjibPvJd21ZQCles1orahU7lDKm7tvuBDL2pwlW2e5Ndo3aYgKUWh8LLTNYD+5tuh5vMpd14iIiPQWikaxY2M/7n3ucNo1x3A0lv/DpFk5+4vjviBu3NCXdUwnfEGeK1LNKWf/mdf2iEirRju3b7TrXrzuTlQ8vfpTFRlwJKX8CYCfKEw/A+BDKf9/EsCTZSyaLlJfb3Fi3IffvTOF7790AoPTAQDlGTlbyRGd/MY4EVU7gxDJBArE28g7njiAh7ZfWuGSVValckctvxZKa85r5G/SEOWTGh89HhuuW78YRgNgN5sQi8msmFpom8FvPtUWrcdLS3tcaFtcy/mJiIjqU5vTiufeHMLffeQCzAUjcFhNeODFo9i8prvSRasr5ewvWoyG5GCjxLrufe5ww1+foNpUzv4zr+0RkVaNdm7faNe9yn3dnffAqZ7o1Z+q5leq1bTE6y2WtTkxF45h0h8CgAWNnC2kEavUiM5GGzlLRLXJF4wqtpH+ULRCJaoOlfw2QC2+Fkot5121ugsnJ/1p+brRvklDtalSJ8yJ+Lj7qYNp3+6+//mjqv3IhbQZ/OZTdclX77QcL63nIMW0xbWYn4iIqH71tThw08VL8Rc/fi2Zy+7atgZ9LY5KF62ulLO/yOsTVG/K1X9m7BBRIRrp3F6tHzPsrc/rXmV9uh7vgVOd8Yf06U9xwFGJ6TVyttBGrFJPUmi0kbNEVJucVpNiG+kwN/Z73vkUnsKo5bz7P7EB27+/NytfN9I3aaj2VPKEOdFf7m224cb7Xyp5P5JtXfXQUu+0HC+t5yCN9q1GIiKqPycm/Ljt0f1pOe+2R/fjoiUtOKeT1930Us7+Iq9PEBWHsUNEpMxhUWkfLfXbPlpMAtuvWIGYBAwi/v9S4D1wqjedLn3OezjgqAzURs4W8i3yQhuxSj1Jgd8YJ6Ja4A2E8JebV2HcH0JMAkYBtDosmAmGK120imqUp/Do9RQXtZy398SEar5ulG/S1LJGfSxupU+YDQah+o0KvfuRjdLW1QIt9U7L8SrkHKTc32ps1DaFiIhK48SEDy0OC65bvxhiPp088vIpnJzwccCRjsrZX/QGQtixsT/5lE+b2YAdG/sb/voE1a5y9X95bY+oeDxPrW+haFSxbxGOxvJ/uAYdH/fhMz/4XdaAiSdLcE2T98Cp3hgNwJevXoUx39n+VJvTAqOhsOVwwFGFFPot8kIbMYNB4KrVXXho+6UYnA6gx2PHQI+75J0GfmOciGqBw2yC0ZjeHhqNAnZzY6fFanjyQ6lPePV8iotazss8d+NJR22IxSSOjflwcNCLwyMzeHjvKUz6Qw3zWNxqOGEuVz+yGto6itNS77Qcr0LqTjkvrPJR20REpDePzYyb37MU9zx79gbSzk39cNvMlS5aXSnndVWL0Yjn3hzC333kAswFI3BYTXjgxaN419IW3ddFVGrl7P/y2h5RcWIxiefeGsa+U9PJm8trF3uw8bwunqfWiTanFQ/tPYlbLlsBIQApgYf2nsTmNd2VLlpJlPOaJu+BU70ZnQ1CiPS2XwiBsdkglrVrjx/2viqk0G+RF9qIxWISTx8cztu51/uCu9o3gPpaHDg6OlsXI6Y5+puo9tnMBvhDUdz//NFkW3XrlSthMxc4bLfCStEelfLJD/nKW4oLU5nrNAjo9hQXpZx39/XrsPuZt9Lm40lH9VOqezs29uP7L53QXD/KPYhB73Xl6muWa9vK+U3ycj/lppaUsy5rPcfJd7zy1Z3ENo37gjgzFcCXHtlXlnOkSj85jIionHitpDzMRpEcbATEc8s9zx7Gw9svrXDJ6ovW66p66PZY8dENffiLH7+WXNcdWwfQ7bHquh6icihn/7deru0RldvJCR8OD8+mxc7OTf04t6OpoJvLVL2WtTnxpc2rG+bJ3l1uG5a22bFlXW/yCaCPv3a6JNfj+dR0qjd2sxFzYaX+VGGvYOSAowopdMRloY2Yls59KW7sKn0Dua/FUbaT9FLjt5SJ6oMvGMXuZw6ltZG7nzmEC5dcXOGSaVdr7ZGW8up9YUppnX/z4bVocVgwOB1IzlfsNx7Ucp7ZaOBJR41Rqnv3PncYt1y2At/4xZG89aOc8ViqdeUaNF6ubeOThyqv3LlFrws1uepO6jbdctkKfPeFo2U7R6qGJ4cREZVDrZ2b1LLZoPIraH2haIVKVJ+OjSmfm5732ct1f3VdKCKxa8+BtHXt2nMAj3/mMl3XQ1QOav3fYa/+/d96uLZHVAnD3qDi4OX1fS0ccFQnGu362mKPHX/2/n7c/tj+5LnIndeuwWKPXfd1Ndq+pfrn16k/xeHeFZL4Nm+qXE9ASDRiT+64HD/cfgme3HF5zgs3uS5uJ6jd2D0+7lvIpiW/gXzpinas6GjCyUl/SdZTCaXaZ0RUXlNzIcU2cspfO+95r7X2SEt5teSuha7zyz95HR/dsDhtvoU8gSgz55lMhoLyNVUHtbonhLb6Uc54LGX/TanulrsflxlTjJ3yKnduKfQcJ9+ylOpO6jYJgbKeIxV6zkdEVKtq7dykljmtJsXc4rAU9g1Uyu3EhE+xz3ByojT9e6V1MX6oFjks5Wuj6uHaHlEleANhxdjxBhg79aSRrq8dHPYmBxsB8fp8+2P7cXDYW5L1NdK+pfqnV3+KA44qJPFt3kQHXMu3eQtpxLRc3M68udbjseGWy1bg0PAMjo7OIhaTxW5eGr1vIFdSPW0LUSOzm42KbWQtPXa51tqjfOWNxaTqhalib8yqrXNll6ug/FsonnTUHrV+k0FAU/3QEo+xmMTR0Vn86u2xBfWzShn7SnW31toaWphKHO9St5nD3gBaHBb82fvPxXkp7X9CvnMkoPh9UMw5HxFRLWJ/oXxC0Sh2bOxPyy07NvYjHI3l+SQVwqk6aEL/lwXYVK9PcBAZ1Z5QNIq/3LwKOzadi89sPBc7N52Lv9y8qiRtVD1c2yPKpNe1o1w8drNi7DTbzbqvi6gcBqeVz0WGpnkuQpSPXv0pvlKtQkr92DUtrydI3FwLhGPo8djwiUuX4t7nDuv++OvU9SQo3UCOxSSOj/sw7A2gy12dj6HTui1EVN3cdjO+fPUqjPlCiEnAKIA2pwWeGjqxqrX2KFd5E69guPupg9ixsT8rFxVyYzY1lzgsJixts+PE+FzaOld3u/EkH3tKKZT6TX/z4bVY39eMvtb89SNfPOr5mpFyx34x66uFPh0pq7XcokWPx4ab37MU9zx7GC0OS1b+X7vYo3qOlFDsPuCjtomoUdRj/qhWbU4rnntzCH/3kQswF4zAYTXhgRePYvOa7koXra50e6zYdc0A7nj8QLL/vuuaAXR7rLqvq8Vhxs5N/cnX29jMBuzc1I8WR+1cnyBK6GiywmhM7+sajQLtTfrHjtumfG3PbWPsUG0q1ytqO11W3PYHqzEyE0zGTofLig6X/nFKVA6Lmu2K5yI9Hp6LEOWj171SDjiqoMS3efV+f3Fi2fkubqfeXLtu/eLkDV7g7OOvV+24fMHl0zL4qVydqYXSsi1EVP08NhOsZiPuf/5oMpbv2DoAj6120mKttUe5ypv6Cobvv3QCt1y2AkYDsGlVJ9b2NmvOA0q55K5ta/D15w7jxPhccp3L253JHEwELHxQQL54VHvNSDH9rHLHfqHrq5U+HSmrtdyiRTSG5A08AJgLx9Ly/+4bLkybX+99UMpzPiKialGP+aNa9bU4cNPFS/EXP34t7Zynr8VR6aLVlUgU+OZ/HsEtl62AEICU8f9fvOxi3de1qsuNY2M+bL9iBWISMAhgcYsdq7rcuq+LqNSkBGYCkbT+9s5N/ZD6P6QF53W6cGhkFvf/9M3kur567Rqs6nTpvzKiMtDz2lEui5sdsGVcF79r2xosbmZfgmqTy2pSHLzt4gBUorz0uldaO3dWqWD5Lm6n3lw7NDyj+vjrhXZmtNzEK1dnaqH4LWWi+jA8E8KuPQfS2pxdew7ggT+6GMs6Klw4jWqtPcpV3tRXMAxOB/CNXxwBALz3nLaCtkcpl9z26H48tP1SzIWjVb+PqLIWMiggXzzmes1Ioesrd+wXur5a6dORslrLLVqMzJyNv+vWL8Y//PxQzvpZj/uAiKjU2HaWz8lJP257dH/WOc/6vhb2tXQ0MhPAifG55LlpwuhsAOd06rufTSYDrh7oQV/rNIamA+j22DDQ44HJxNdCUe0ZmQmmDfYPhGO459nDWN/XguU6t1FnZgL468fS28O/fmw/3rW0BStsbA+p9uh57SgX9iWo3gx5A3jwVyfSBoo/+KsTuKivWffcQ1Rv9LpXygFHDS71CQ+lfPx1vpt45epM6YHfUiaqfb5QRLHN8YciFSpRcWqtPVIrr16vYFDLJXPhKC5d0V58wYk0yBWPer9mpNyxX8j6aqlPR8pqLbfkkxp/QkBT/ay3fUBEVA5sO8uDfa3yKPdrAk0mAy5Y0oILlpRk8URlU87rbWwPqd6UK/cwdqjedLltmPSH0gaK8/XORNro1XfjVyUIwNnHX9vM8SpR7sdfJzpTqZgQiKhUlrY6FducvlY+8r8S9MpBzCVUrSrdzyonxiFVG6X4S8X6SUREtYR9rfJopP47kZ7Keb2N7SHVm3LlHsYO1Rv224iKp1ffjU84IgCVf/x1IiEkXsHBhEBEpbS8XbnNWd7ONqcS9MpBzCVUrSrdzyonxiFVm9T4m/AF0d/ZhC89so/1k4iIahL7WuXRSP13Ij2V83ob20OqN+XKPYwdqjfstxEVT6++Gwcc1ZBYTOL4uA/D3gC63Po3mJV8/DUTAhGVk8EgcNXqLjy0/VIMTgfQ47FhoMfDNqeC9MhBxeSSUudWooRGeM1IIp46XBY8tP1S+ENRxhVVhdT4Wx+TWNvrKeicg7mCiIiqBa+flZ+UpV8H+xpUL8rZRvHaHtWjclw7Yl+iMTRa36IRrrsSlYJe/SkOOKoRsZjEUweGskaYbR7orpskwYRAROUSi0k8fXC4rtvURlVILmmE3EpULmrxdMnyNsYTVZVCzzmYK4iIqNrw+lnplTP/s69B9aZcbRSv7REVj32J+sa+BRFppVd/ypB/Fv0JIT4qhDgghIgJITbkmO+4EOJ1IcSrQoi95SxjtTk+7ksebAAIhGO49eFXcXzcV+GSUSFiMYmjo7P41dtjODo6i1isDF+TIqIs5WxTGffVi7mVtGAMa8N4omq2kDhm3SYiImo85cz/7GsQFYexQ/WI16BID2wfiUgrvdqLSj3haD+A6wB8S8O875dSjpW4PFVv2BtIHuyEQDiGkZkARyHXCI4qJqoeam3qsFffNpVxX92YWykfxrB2jCeqVguNY9ZtIiKixlOuawblXhdRPWE/neoNr0GRXti3ICKt9GovKvKEIynlQSnlW5VYd63qcttgM6cfLpvZgE6XrUIlokJxVDFR9XBYTIptqsNi1HU9jPvqxtxK+TCGtWM8UbVaaByzbhMRETWecl0zKPe6iOoJ++lUb3gNivTCvgURaaVXe1GRAUcFkACeFkK8LITYnmtGIcR2IcReIcTe0dHRMhWvfJa1ObH7hguTBz0xunlZm7PCJSOtcn3ropLqPXaIlISiUezY2J/Wpu7Y2I9wNJbnk2dpiZ1qjXuKY26tnFrJPYxh7RhP5VErsVNNFhrHrNv1g/FDVBzGDjUiPa4ZANriR691EdUTLbHDfjrVGz2uQbHfRgD7FsVi/FAj0qu9KNkr1YQQPwfQrfCnv5JSPqZxMZdJKU8LIToBPCOEeFNK+bzSjFLK+wHcDwAbNmyouxebGgwCmwe6sWrH5RiZCaDTZcOyNicfpVhDEt+6SO00VsO3Luo9doiUtDmteGjvSdxy2QoIAUgJPLT3JDavUUpbyrTETrXGPcUxt1ZOreQexrB2jKfyqJXYqSYLjWPW7frB+CEqDmOHGpEe1wwAbfGj17qI6omW2GE/neqNHteg2G8jgH2LYjF+qBHp1V6U7AlHUsoPSCnXKPxoHWwEKeXp+X9HAPwEwMWlKm8tMBgEVnQ04dIV7VjR0VSRznMsJnF0dBa/ensMR0dnEYuxzdWK37ogqh7L2pz46y3nwzifBU0G4K+3nK+FOABgAAEAAElEQVR7PDLuC1fuPFMNuZWql14x3Cj9J8YTVYPMeOtrcSw4jlm3iYiomjRK37KSlrU58aXNq/HdF47ivueO4LsvHMWXNq8uybl8ua5PENUzyWaQ6gCvI5Ne2LcgIq30ai9K9oSjhRJCOAEYpJQz879fBeDOCher6sViEsfHfRj2BtDl1ndUfywm8dSBoeR7ZBMdns0D3bzorgG/dUFUXYJhifufP5psz/7PRy/UfR2Me20SuWvcF8SZqQC+9Mg+5hnSxUL7RXrEMPtPROWjFm9Xre7Ckylx3NfiKNk5ExERUSmxb1keBoPAVau78ND2SzE4HUCPx46BHnfJ9nE5rk8Q1Ru2h1RveB2Z9MS+BRFppUd7UbInHOUihPiwEOIUgPcA+HchxM/mpy8SQjw5P1sXgBeEEK8B+A2Af5dSPlWJ8taKRCf7Q/f+Ev/t27/Gh+79JZ46MKTbN52Oj/uSHXgg/v7YWx9+FcfHfbosvxHw29FE1eHYmA+f/1F6e/b5H72KY2P6t2eM+9xSc9d/vDWWHGwEMM/QwujVL1poDLP/RFQ+avF2ctKfjONlbU48fXC4ZOdMREREpcS+ZXnEYhJPHxzGjfe/hE//8yu48f5f4emDwyXpL5Tz+gRRPTk2ptweMnaolvE6MumBfQsi0kqv9qIiA46klD+RUi6WUlqllF1Syg/OTz8jpfzQ/O9HpZQXzP8MSCn/VyXKWktKfdFh2BtIe39sYh0jMwFdlk9EVC4nJnyK7dnJCXa6yy01dwkB5hnSTbXcjGH/iah8tMRbtbQNRERExWDfsjzK2V/g9Qmi4jB2iIiUsX0kIq30ai8qMuCISqPUFx263Lbk+2MTbGYDOl02XZZPRFQuTotJsT1zWKr2TaN1KzN3Mc+QXqrlZgz7T0TloyXeqqVtICIiKgb7luVRzv4Cr08QFYexQ0SkjO0jEWmlV3vBAUd1pNQXHZa1ObH7hguT60i8F3lZm1OX5RMRlUuX24qdm/rT2rOdm/rR5bZWuGSNJzV3PfLyKezY2M88Q7qolpsx7D8RlY+WeKuWtoGIiKgY7FuWRzn7C7w+QVQcxg4RkTK2j0SklV7tBYczVlAsJnF83IdhbwBdbhuWtTkX9E7WxEWHxCN/9b7oYDAIbB7oxqodl2NkJoBO18LLTERUCX2tTpy/yIW//8gF8AUjcNpMcNmM6GvlRdpyS81dg9MBPLT3JO7/xAaYjUKX3FgIvfMyVVap+0ValbL/xDpLlE5LvOndNjAOicqnd0kfzpx6R/P8ixYvwel3TpawRETlZzAIXLW6Cw9tvxSD0wH0eOwY6HEz9+isnOcSfa1O9Hc1YfsVKxCTgEEA/V1NvD5BNatc/WNe2yMiUsb2kYi00qu94ICjConFJJ46MJR14rp5oLvoDng5BgQZDAIrOpqwoqNJt2USEVWCLxjDF378WlobTOVXLYNZS5GXqbKqpW4lyqJ3/4l1lkhZvnjTs21gHBItXKGDiG781oua533oT66AENpikYOTqFbEYhJPHxxm7imxcp5LGAwCG8/rwor2poqftxAtVLn7x7y2R0SkjO0jEWmlR3vBAUcVcnzcl+x4A/H3gN/68KtYtePyBd2M4oAgIqL8StUGU3GqIXexTtSnaqhbpcI6S1Q8vdoGxiGRslINInroj99bWEFikdItm6hCmHvKp5znEvV83kKNpZxtFNtDIiJlbB+JSCu92gsOOKqQYW8gefASAuEYRmYCbPAz8DUFRKQ3tsGUSa1OnGD+oSpVynaMfS+qRZWot+xPECk7c+odDvQhKhHmnvrE/jfVi3K2UWwPiYrHvFPf2D6WFuOH6ole7QUHHFVIl9sGm9mQdhBtZgM6XbYKlqr68DUFRFQKnS7lNrijiW1wo1LLy797Zwr3PnuE+YeqTqn6kux7US2qVL3lOR0REZUbz2XrD/vfVE/K2T9me0hUHOad+sdrFaXD+KF6o1d7YdC7YKTNsjYndt9wIWzm+CFINErL2pwVLll1UXuU1/FxX4VLRkS1zGgAdm7qT2uDd27qh5FZsWEp5eWdm/rxo72nADD/UPUpVV+SfS+qRZWqtzynIyKicuO5bP1h/5vqSTn7x2wPiYrDvFP/eK2idBg/VG/0ai/4hKMKMRgENg90Y9WOyzEyE0Cni49dU8JH/xFRKQxOB/Dgr07glstWQAhASuDBX53ARX3NWNbOtqURZeZlAYHPPfQqBqcDyXmYf6ialKovyb4X1aJK1Vue0xERUbnxXLb+sP9N9aSc/WO2h0TFYd6pf7xWUTqMH6o3erUXHHBUQQaDwIqOJjZCOfDRf0RUCl1uGyb9IXzjF0eS09i2UGpePjo6i0l/KO3vrCNUbUrRl2Tfi2pRJestz+mIiKiceC5bf9j/pnpTrv4x20Oi4jDvNAZeqygNxg/VIz3aCz5gkqoaH/1HRKXAtoXyYR2hRsW6T7WI9ZaIiBoFc1794TElKg5jh6g4jB2i4jF+iJTxCUdUkFhM4vi4D8PeALrcpX8MHx/9R0SlYDAIXLW6Cw9tvxSD0wH0eOwY6HGzbVmgcueIUmL+oWpV6jhj3adqUUhdZ70lIqJGwXPZ+sNjSlQcxg5RcRr1/LmerltT5TD3ECnjgCPSLBaTeOrAEG59+FUEwrHkyM3NA90lH3TER/8RkZ5iMYmnDw6XvT2rZ5XKEaXE/EPVplxxxrpPlVZMXWe9JaIFMZgghLZcumjxEpx+52SJC0SkjOey9YfHlKg4jB2i4jXa+XM9XremymDuIVLGV6qRZsfHfclGFAAC4RhuffhVHB/3VbhkRESFYXumP+5TotJjnFGjYF0norKLRXDjt17U9HPmzCCEEJp/epf0VXrrqI4wR9YfHlOi4jB2iEgrthekF9YlImV8whFpNuwNJBvRhEA4hpGZQMOMhCai+sD2TH/cp0SlxzijRsG6TkRVbX5wklYP/fF7S1gYajTMkfWHx5SoOIwdItKK7QXphXWJSBmfcESadbltsJnTq4zNbECny1ahEhERFYftmf64T4lKj3FGjYJ1naj69C7p0/xEHyIqHebI+sNjSlQcxg4RacX2gvTCukSkrCIDjoQQXxNCvCmE2CeE+IkQolllvs1CiLeEEEeEEP+zzMWkDMvanNh9w4XJxjTxbsplbc4Kl4yIqDBsz/THfUpUeowzahSs60TV58ypdzS/coyISoc5sv7wmBIVh7FDRFqxvSC9sC4RKavUK9WeAfCXUsqIEOJuAH8J4EupMwghjAC+AeBKAKcA/FYIsUdK+UbZS0sAAINBYPNAN1btuBwjMwF0umxY1uaEwcBvMBJRbWF7pj/uU6LSY5xRo2BdJyIiUsYcWX94TImKw9ghIq3YXpBeWJeIlFVkwJGU8umU/74E4CMKs10M4IiU8igACCF+COBaABxwtECxmMTxcR+GvQF0uQtrDA0GgRUdTXwXJRHVDSkrXYL6Uas5YiF5kajcKhFnjBGqhGrJKaz/VK96l/ThzKl3Kl0MIloAnsvWj2rp99Q79uvqF9tDIsqHuba+lTPHsy5RvdEjfir1hKNU/wPAQwrTewGkXv06BeAStYUIIbYD2A4AfX19epavrsRiEk8dGMKtD7+KQDiWfNzb5oFunmA1KMYONSI92kLGTn1gXqwMxk/tYIxUF8ZOebH+1xfGT7rEK9K0euiP31vC0lA1Y+xUF+am2sL4qR6MndqiJXZ4TImyMe9QI9IrHzB+qBHpFT+GUhVQCPFzIcR+hZ9rU+b5KwARAP+y0PVJKe+XUm6QUm7o6OhY6OLq1vFxX7LSAEAgHMOtD7+K4+O+CpeMKoWxQ41Ij7aQsVMfmBcrg/FTOxgj1YWxU16s//WF8UNUHMZOdWFuqi2Mn+rB2KktWmKHx5QoG/MONSK98gHjhxqRXvFTsgFHUsoPSCnXKPw8BgBCiE8C2ALg41IqPvTyNIAlKf9fPD+NFmDYG0hWmoRAOIaRmUCFSkREVH5sCymBdYEoN8YINTLWfyIiqjbMTUTFYezUHx5TIiICmA+IFkKv+CnZgKNchBCbAfwFgK1SSr/KbL8F0C+EWC6EsAC4CcCecpWxXnW5bbCZ0w+7zWxAp8tWoRIREZUf20JKYF0gyo0xQo2M9Z+IdGEwQQih6ad3CR/dT7kxNxEVh7FTf3hMiYgIYD4gWgi94qciA44A3AfABeAZIcSrQohvAoAQYpEQ4kkAkFJGAHwGwM8AHATwsJTyQIXKWzeWtTmx+4YLk5Un8S6+ZW3OCpeMiKh82BZSAusCUW6MEWpkrP9EpItYBDd+60VNP2dOvVPp0lKVY24iKg5jp/7wmBIREcB8QLQQesWPqRSFy0dKea7K9DMAPpTy/ycBPFmucjUCg0Fg80A3Vu24HCMzAXS6bFjW5oTBICpdNCKismFbSAmsC0S5MUaokbH+ExFRtWFuIioOY6f+8JgSERHAfEC0EHrFT0UGHFFlGQwCKzqasKKjqdJFISKqGLaFlMC6QJQbY4QaGes/VVrvkj7NT70xmq2IhoMlLhERVRpzE1FxGDv1h8eUiIgA5gOihdAjfjjgiIiIiIiIiIioCp059Q5u/NaLmuZ96I/fW9C8REREREREREREC2GodAGIiIiIiIiIiGpV75I+CCE0/fQu6at0cYmIiIiIiIiIiHTBJxwREREREREREaUo5FVmALQ/WehProAQothiUb0zmDTXj0WLl+D0OydLXCAiIiIiIiIiInUccERERERERERElKLQV5lpFotoXm7By6baV0D9KHTwGgcoEREREREREZHehJSy0mXQnRBiFMCJSpcjj3YAY5UuRBk10vZW67aOSSk355pBY+xU2/axPPlVW5lqsTw540eHvFNt+6QYtb4NtV5+oDq3QY/cU43blakWygjURjlZxrNKnXtKqRaOo5paLjtQ2+XXq+x6nffoWaZKqodtAOpjO2phG/TIPbWwnZlqscxAbZa7Xstcr9fctGCZy6Ney1yvscPy5FZt5QGqr0zlul5dbdtdDo22zdzebMw95cHy5FZt5QEWED91OeCoFggh9kopN1S6HOXSSNtb79tabdvH8uRXbWVieaqzDAtV69tQ6+UH6mMblNTCdtVCGYHaKCfLWB9qeR/VctmB2i5/NZa9GstUqHrYBqA+tqMetkGLWtzOWiwzUJvlZpmrZ116YZnLg2WunnVpwfLkVm3lAaqvTOUqT7Vtdzk02jZze+tjXVqwPLmxPPktpEwGvQtDRERERERERERERERERERERET1iwOOiIiIiIiIiIiIiIiIiIiIiIhIMw44qpz7K12AMmuk7a33ba227WN58qu2MrE82aqhDAtV69tQ6+UH6mMblNTCdtVCGYHaKCfLWB9qeR/VctmB2i5/NZa9GstUqHrYBqA+tqMetkGLWtzOWiwzUJvlZpmrZ116YZnLg2WunnVpwfLkVm3lAaqvTOUqT7Vtdzk02jZze+tjXVqwPLmxPPkVXSYhpdSzIEREREREREREREREREREREREVMf4hCMiIiIiIiIiIiIiIiIiIiIiItKMA46IiIiIiIiIiIiIiIiIiIiIiEizuhxwtHnzZgmAP/zhT/pPXowd/vBH9Scnxg5/+KP6kxfjhz/8Uf3JibHDH/6o/uTF+OEPf1R/cmLs8Ic/qj95MX74wx/Fn7wYO/zhj+pPTowd/vBH9Scvxg9/+KP6o6guBxyNjY1VughENYmxQ1Qcxg5R8Rg/RMVh7BAVj/FDVBzGDlHxGD9ExWHsEBWHsUNUPMYPUWHqcsARERERERERERERERERERERERGVBgccERERERERERERERERERERERGRZhxwREREREREREREREREREREREREmnHAERERERERERERERERERERERERaWYq9QqEEDYAzwOwzq/vx1LKXRnzWAE8COBdAMYB3CilPD7/t78EcAuAKIAdUsqflbrMhQiFoth3ZhpD3gAWeWxotpsxPBNEp8sGowEYnA6gx2NDNAaMzATSpne5bVjW5oTBINKWGYtJHB/3YdibPn+ny4pJfxiD0wEsbrEBEjg1FUC32wqn1Yi3R/1Y5LHBZjHgnYk5nNNhx6Q/imFvEL3NNggBnJqcL6fDjJGMcna7rRibDWHIG0SPxwqHxYiTE3Po8djR7DDhzFQA3W4bZgJhnJkOoMdjx0CPGyaTIW0/LGmxIxyVGJwOYGmbHaGInN9eKySicFossJmMGJ0Npm1Tj8cKl82IY2Pp61TbT2r7LHX+1HL1uG1Yu8gDi8Wo+tnUY7WQ41bosU1dl5btLWSdeinnuojKYWougENDPgx7g+hyW7Gy24lmu0339RTaNpQjvnKtT+lvAArehr4WB05O+rPaVofFhJiMwSgExmZDcFpN6HRZYTAAYzMhhKIxzAYicNvN6GyywBeOYtIfhN1sxthsEK1NZliNRvhD0Xg7KiROTQUwE4ig22OF22bGiQk/3DYTTAYDJvxBdLttmA1EMTITRI/Hhk6PBWcmg/CFIljR7sSUP4wz03Nob4rnoUlfCEaDEWOzQXS4rDAKCaPBiGAkimhMYjYYL5/FYMCZ+fxmMQpMzoXhtJgw7gvBaTHBbTdBSmBqLoQmiwljvhDcNhM8DjNCkRgMQsAfiioeg2NjPpyY8MFpMaHLbUVfq/acUs9tdCQSw4HB6fncGe+HGAwiaz94A2EEwzGMzASxyGNDVEp4AxEsbXHAaBSKubevxYETE36cmPChyWqCw2LETCCSXObobBAWo6GgYwYAJyfi7Yw/FIHbZsZ0IIQ2py3Zh0rdrkl/EE6LGVP+MFqdFsQg0eqwJo+tdy4Ml92ERZ54X+vEuA9OmwkCMRiFEaMzQbS7rDAJgZH5fhYA+EIRuK1m+MPRrG11Wkzo9lgRiZ7t8xgEcGz87LYscttxcNiLYW8ALQ4LfKEw3DYLjAaB2WAEwXAMy9vj2zs6G4yX02aGLxSGxWiEy2ZCKBpDm9Oa1jZoaWNS67nDYkIoGkWb04rFHjveHPbizHQAbrsJPW47luao96nLWdRsw9R8/1PLZ/VUa/2pfOXNbIcMAjg15YfVaIQvFEFfqxPL2+OfyZzXZIzX67HZEJa02CGAtHOMSCSG1wenMeEPo8VhxkwgXq9mAmFYTUbYzQaYDAbMhuJ1sN1lRTQWAwCMzARhNxvhsppgNRvgDUTgnQvDbjHBYhQwGAR8wTCsZiNcVjNcNhNGZuIx7gtG4bTGc1WinV7UbMOUL4xBbwCLmu1w20wY8sbrusdhxlwoArvFCJMwoK3JkmyzldrpRPs07A2i3WVBt8uKvrYm1f2aGifvTPowPB3EmC+I3mZHWjui5bglpo/7stszIH+uL7aeUO7+ldLxUOuXLfbE2+PBjPNxLbGqpW+hZTuOjflwcsKHVqcFgXAMY7PxvrTZaMCIN4hmhxnTc2E02Uywm4wwGgXmwlF0uqzJOOpyWRGJxTDuC8NpMaK9yYLZYBSjs/G6vbrLhTPTfozOhjDuC8FhMaLHY8GUP4ohbxDdHis6XVaMzAQhIDDpC6HVaYHBgGQf02YxwGo0otNjwZQvgtlgBOO+EDpdVtjNRpyemkvrV/Z4bAhH4/vRZjaixWGG227CqDeEQCQKfyiKVqcFJoPAsDcIt92EcCSGRc0OLG3Nzm2JmDsx7sOZ6TnMBCLobbajyWrCEGOFiDKU6/oEUTmUsz4zdqjelKtON2LszM4F8EbKNp/f7URTHW9zox3jmbkADqZs7+puJ1zMPUSa6FGnSz7gCEAQwEYp5awQwgzgBSHET6WUL6XMcwuASSnluUKImwDcDeBGIcT5AG4CMABgEYCfCyFWSimjZSh3XqFQFI/uO4PbH9uPQDgGm9mAnZv68eCvTmDSH8LOTf346euDuHptD+559rDiPLtvuBCbB7rTLig+dWAItz78atr8+ZZzx9YBPPX6IH51bAI7N/Xj8JAXl5zTjl17DqDFYcHN71mq+tmdm/rxm6PjuGpND+54/EBynl3XDOBff30Ch0ZmseuaATy9fxAXr2hLW85d29bgD87vxuMHhnD7Y/vT1qW03ju2DsBoCOC2R5XLlbodqevP3E+plPbZ7hsuxMb+DuzZP5h2fO68dg22rVuUHHSU+tl8ZS/0uC3k2Oba3nzbne9zxSjnuojKYWougKf3j+L2PSntw9Y1uGpNh66dw2LbhlLGV671Acj6230fuwihiCxoG5a22fHZjf247dH9We3p0jY7/uR95+IrKflm56Z+LGq2YSYQwV3/fjBteofLglgMuH3PK4pt865rBvDN/zyCE+NzsJkNuPXKlfjefx3HpD+EL1+9Cs1OM14/7cWuPQdSjvUAHt57EqGIxH+7ZGla7rv7+rUIhGNp89+xdQB2s8CQN4TdzxxSzcN2k8Cn//mVtL+3Osywmo1p07989SpYzca0deQ6Bjs39aO/qwkbz+vKm1PU8lQ9iERiePS107jt0f1p/ZAOlwV//P1XUqYNIBqDah/o1itX4onXzmTl3ru2rcHXnzucrEup+/PLV6/CXDiGf/j5oYKOmdko8MaZmbT17NjYj4f2voHPbuzHtgt6AQCPvnYaX3/uMG7c0Id7n0uf97k3h3D9u/qy+miJer+0zY4//f1z0+pTvrKnbuvSNjs+/b5z05af+vkvfvA8dLis+Isf71MtV4vDgj953woEIrG0GIlv60nc9O4+NFlNeOzVg7jp4qVpxzBXG6O0b3ds7Mer74zjyvMX4a8z+uCZcZKQGi8rO5vw8UuXZu0vtc/qqdb6U/nKq/T3W69cCavRgP/91Jtpn7lqdReePjiclicS9VYpTu+56UJM+yP4xn8ox8VDe0/ilt9bntaWKuWXL1+9Cg6rKa3O7dzUD6fFCCmBf3zxGG5+zzL0eGw4MxXA3z/91tk42zKAbz5/BB6bOS1XKMXMn39gJX7wmxO4+T3LYDYILGqZxe/3d6Ztc6J9iue09Hg+MeHH5f2dqvt19w0XotlhxInxQNp679q2Btsu6E0bdKT2+cQxuPupg1n7dPcNF8JiEvjMD35XcN2stXpdCWr7yGIS+OoTbygeD6U2cGmbHX/2/v6089u7tq3B1rWL8PO3RgqK1WLavcy2NLMPlZo7EnH66fedC6OQsJkMODLiS+aMzL5hZh77u4+sQygSS8bu0jY7/uz3z02LnUTf6y/+bb9qG7BzUz9WdMQHl+/KiLvU6xtq5/+9LXZ458JZ/dPU7bzn2UNZuS0Rc/9xeASHh2ez+iGJvipjhYiA8l2fICqHctZnxg7Vm3LV6UaMndm5AJ5U2OYPremoy0FHjXaMZ+YC+KnC9l69pkP3QUeNtm+p/ulVp0v+SjUZNzv/X/P8j8yY7VoAD8z//mMAm4QQYn76D6WUQSnlMQBHAFxc6jJrte/MdPJiHwAEwjHc8+xhXLd+cfL3T11xTvLiktI8tz78Ko6P+5LLPD7uS14ITJ0/33J27TmAT162PDn9I+/uS15Qu2794pyfvefZw/jkZcuTFwsT89zx+AF86opzkr9/8rLlWcu57dH9eH3Im9wPqetSWu+uPQdgM5ly/j2xHanrz9xPqZT22a0Pv4rXB7OPz+2P7ce+M9OKn81X9kKP20KOba7tLWSdeinnuojK4dCQL5lAgfn2Yc9+HBrSt04X2zaUMr5yrU/pb/tOTRe8DVvW9SZvumS2p1vW9SZvBCWWd8+zh/H2qA8jM8Gs6TaTKXlzSaltvuPxA9iyrjf5/93PHEq21WO+EJrtlmQ+TMxz+54DuPm9K/CpK87Jyn1vj/qy5t+15wCaHdbkQIrU8qXm4WanNevvp6cDODrmS5s+5gtlrSPXMbjn2cPYd2paU05Ry1P14MDgdLJeAWf7ITNz0bRpNpMpZx9o9zOHFHPvbY/uT6tLqftzzBdKDthJ/F3LMZuZi2at597nDidj5MDgdHK7tqzrTd5wTp335veuUOyjJcq6ZV1vVn3KV/bUbd2yrjdr+amf/9rP3sKRkdmc5bpu/WKM+UJZMZLY1nuePYzR2SBufu+KrGOYq41R2rf3PncYH790eXKwUeY+V6r3qcv51BXnKO4vtc/qqdb6U/nKq/T33c8cwrg/lPWZA4PTWXkiV5yGIxK371GPiy3rerPaUqX8MuYLZdW5e549jDFfCOP+ELas68XXfvYWYjEkBxsl5rvjiXicZeYKpZj5h58fSi5rzBfCvlPTWducaJ9u35MdzzOBaM79euvDryISRdZ6E+2IluOWKI/SPr314Vex79R0UXWz1up1Jajto32nplWPh1IbuGVdb9b57W2Pxs9vC43VYtq9zLY0V+5IxOkdjx+Aw2JGs9OaljMy+4aZ7fKRkdm02N2yrjcrdjL7Xmp9zHBEZi0/8/qG2vn/kZFZxf5p6nYq5bZEzO07Na3YD6nn/hoRFa5c1yeIyqGc9ZmxQ/WmXHW6EWPnDZVtfqNOt7nRjvFBle09yNxDlJdedbrkA44AQAhhFEK8CmAEwDNSyl9nzNIL4B0AkFJGAEwDaEudPu/U/DSldWwXQuwVQuwdHR3VeQuUDXkDyQOQEAjHIMTZ3+eCkbzzjMwEkn8bVlmmluVM+cPJ38dSLooJgbyfnfSFldcbiuSdZ9irvC619frml6n299TtSF1/6n5KpbbPhlLKlV5e5f2tpeyFHjdNxzakfGzVtreQdWqhJXb0WhdRtRhWbR+CmpehV+yUO75yrU/pbzGp3B7m2oZc7ala+xqT8XVlTveltJH52ubM/8ckMJEjvynlVrXtVVtOWi6dz1/5tivXPlU7PjEJTfVGLU9Vm2L6bYPTytuc6Fck+IL560y+flXm/4s9Zr4c6wmEYxiaDiS3q9iy5osLtbJr/XxiW7LKlRGbudaTWIZSn6eYfavWJ82Mk4TU5ajtT7XP6kmP9r6c5zz5ypur7mdOy4zffP3uROzkqp+ZdUdpXrX6lWibE5/JFauZdSZXmVKXrdRmqa3HF4rk3a9qeWhoOr3+qH0+X1ujdNy01M1aOk+oxDUDIHesqB0PpTZQbV616xJaYrWQ46SlLU3NHcn4CkXS6q+WvqGW+M7se+W6/pAvlxTaP0275qOy/MHpQN4cXK2xkqlSsUNUD7RdN1j49QmiaqFXfWbsUCMq3/XqxoudRttmbi9zD5FWetXpsgw4klJGpZQXAlgM4GIhxJoSrON+KeUGKeWGjo4OvRevqMdtg82cvgttZgOkPPu7w2rKO0+n6+wjqbpUlqllOc0Oc/L3Dpc1bf58n211mhXnsVtMyd9bVObpcquvS2l+p8WU8++p25G6/tT9lEptn3VnlOtsedX3dyH7TMtx03RsLcrHVm17C1mnFlpiR691EVWLzHYLONueaaVX7JQ7vnKtT+lvRqHcHmrZBqXf1f5vEEDm2yQSOUNr25z5f6NAzvymlFvVtldtOal5oWU+f+Xbrlz7VG1fGgQ07XO1PFVtium39XjsefsVAOC05a8z+fpVmf8v9phlliV1uTazAd0eW9p2LaSsan9XK7vWzye2JatcGbGZaz2JZSj1eYrZt2rxmBknCanLUdufap/Vkx7tfTnPefKVN1fdz5zW4yksT6TGjlq9Uqs7qdTmSbTNifqZK1bV6ozSvKnLVmqz1NbjtJjy7le1et/tSa8/ap9PPQZaj5uWullL5wmVuGYA5I+VQtvAzP93LyBWCzlOWtrS1NyRjC+LKav+Fhu7mf9X6ntl/j+zL5n8rIYyqfVP0675qCy/x2PPm4OrNVYyVSp2iOqBtusGC78+QVQt9KrPjB1qROW7Xt14sdNo28ztZe4h0kqvOl2WAUcJUsopAL8AsDnjT6cBLAEAIYQJgAfAeOr0eYvnp1WFtYs8uPPaNWkXbndu6se/vXIq+fu3n38bOzf1q86z+4YLsazNmVzmsjYndt9wYdb8+ZZzx9YB/NMLx5LTf/Tbk7hj6wBsZgMeeflUzs/u3NSP771wDLuuGUibZ9c1A/jO828nf/+nF45lLeeubWuwttud3A+p61Ja7x1bBxCIRHL+PbEdqevP3E+plPbZ7hsuxNqe7ONz57VrsG6RR/Gz+cpe6HFbyLHNtb2FrFMv5VwXUTms7Hbizq0Z7cPWNVjZrW+dLrZtKGV85Vqf0t/WLvYUvA2Pv3Yad23LzguJv30lI9/s3NSPczqc6EwZLJuYHohEcGeOfLbrmgE8se908v+3Xrky2Va3OS2Ymgsl82Finju3DuDBF4/i28+/nZX7VnQ4s+a/Y+sApvxB3Hrlypx5eMoXzPp7r8eGFe3OtOltTkvWOnIdg52b+rFusUdTTlHLU/VgoMedrFfA2X6Iy25MmxYIR3L2gW69cqVi7r1r25q0upS6P9ucFvz5B1YWfMxcNmPWenZs7McT++IxMtDjSW7X46+dxo6N2fM+8OJRxT5aoqyPv3Y6qz7lK3vqtj7+2ums5ad+/osfPA/ndjblLNcjL59Cm9OSFSOJbd25qR8dTVY88OLRrGOYq41R2rc7Nvbjn186hq8q9MEz4yQhdTnffv5txf2l9lk91Vp/Kl95lf5+65Ur0eawZH1moMeTlSdyxanZKHDnVvW4eGLf6ay2VCm/tDktWXVu56Z+tDstaHNY8MS+0/jiB8+DQQBfuOq89DjbEo+zzFyhFDN//oGVyWW1Oy1Ytzge25n7JxA+m9OS67lmAC6bMed+3X3DhTAZkbXeRDui5bgljoHSPt19w4VYt9hTVN2stXpdCWr7aN1ij+rxUGoDH3/tdNb57V3b4ue3hcZqMe1eZluaK3ck4nTXNQPwh8KY8gXTckZm3zCzXT6nsyktdh9/7XRW7GT2vdT6mGaTyFp+5vUNtfP/czubFPunqduplNviMefG2sUexX5IPffXiKhw5bo+QVQO5azPjB2qN+Wq040YO+erbPP5dbrNjXaMV6ts72rmHqK89KrTQkqZf64FEEJ0AAhLKaeEEHYATwO4W0r5RMo8fwZgrZTy00KImwBcJ6W8QQgxAOAHAC4GsAjAswD6pZTRXOvcsGGD3Lt3b6k2KU0oFMW+M9MY9gbQ7bGhxW7GyGwQHU02GA3x1651u22IxoDR2UDa9E6XDcvanDBkfGUuFpM4Pu7DyEz6/B1NVkz6wxiaDmBRsw0CwOmpALrcVjitRhwd9aPbY4PdYsCpiTks77Bjyh/FsDeI3mYbhABOT86X02HGaEY5u1xWjM2GMOQNont+me9MzKHbbUOz04zB6QC6XDbMBMIYnI4vZ6DHA5PJkLYfFrfYEY5KDE0HsKT17O+dbiskYnBazLCZjBjzBdO2qctthdtuxPGx9HWq7Se1fZY6f2q5utw2rFvkgcViVP1s6rFayHEr9NimrkvL9hayzhR5F5grdgpcF1HVm5oL4NCQD8PeILrcVqzsdqLZrvoN45yVfaGxU+74yrU+pb8BKHgb+locODnpT2tbR2YCcFiMkFLCIATGfSE4LCZ0uqwwGICxmRBC0RhmAxG47WZ0NFngD0cx5Q/CZjZjfDaEZqcJNpMR/lAUnS4bjELi1FQAM8EIulxWeOxmnJzww2UzwWQwYMIfRLfbhtlAFCOz8d+7PBacmQzCH4pgebsTU/4wzkzPob3JCpfNiElfCEaDEWOzQXS4rDAKCaPBiGAkimhMYjYYhdtugsVgwBlvAJ0uK6xGgcm5MJwWEyZ8ITisJritJkgAU3MhNFlMGPeF0WQzotluRjgagxAC/lAUXe7sY3BszIeTEz44LCZ0ua3oa9WeU6qsjV5Q7skUicRwYHAaQyn9EINBZO2HmUB4/jUlQSzy2BCVEjOBCJa0OGAyCsXc29fiwIkJP05O+NBkNcFuMWImEInXMwMwNhuE2Wgo6JgBwMmJeDvjD0XgtpnhDYTQ6rQm+1Cp2zXpD8FpMWHKH0aL0wIJiVaHFUZD/PVMM3MROG1G9DbH+1cnxn1wWk0QIgajMGJ0Noj2JitMQiR/FwLwhyJwWc3wh+NlT91Wh8WEbo8VkejZPo9BxGM+sS2L3HYcHPZi2BtEi8MMXygCl80Ms0FgJhhBKBJLthVjs0FMz4XhspnhD4VhNhrhspkQisbQ5rSmtQ1a2phEPR/2xtuPcDSGVqcViz12vDnsxeB0EE02IxZ57Fiao96nxkuPx4YpfxhDGj+rJz37buU458lX3sx2yCCA01N+WIxG+EIR9LU6sbw9/pnMeU3GeL0enw1hcbMdQiDtHCMSieH1wWlM+sNodpgxEwjDZTVjNhSGxWiEw2yA0WDAbCiCYDiG9iYLovPntqMzIVjNBritJljNBngDEXjnIrBbjLAYBQwGAV8wAqvJAJfVDJfdhNGZszGeyFWJdnpRsw1TvjCGvPH647abMeyN13WP3Yy5cAQOsxFGgwFtTZZkm63UTnsDYQTDMQzPBNHmtKDHbUVfW5Pqfk2Nk3cmfRieDmLMF0Svx46BRWfbES3HLTF9wpfdngH5c32x9aQCdM09esjVv1I6Hmr9ssWeeHs8lHE+riVWtfQttGxHYjmtDgsCkRjGZuN9abPRgBFvEM0OM6YD4XguNRlhNAoEwlF0uKyY8oUxOH/tIRKTmPCFYbcY0N5kgS8YxehsvG6v7nbjzLQfo7Oh+f6iET0eS/L6Rpfbik63FSMzQQgITPpCaHFaYDQARiEwNhtvA2wmIzo9Fkz5IpgNRjDhC6HDZYXdbMSZqUBav7LHY0M4Gt+PNrMRLXYz3A4TRr0hBCJRzIWiaHFYYDIKDHuDcNtNiERj6PE4sLQ1O7clYu7EuA9npucwG4iip9kKl9WM4eqJFSUVzz1ENWpBuafA6xNEVU3P620AY4caS7muVzdi7MzOBfBGyjaf3+1EUx1vc6Md45m5AA6mbO/qbidczD1EmuiRe8ox4GgdgAcAGBF/otLDUso7hRB3AtgrpdwjhLAB+D6AiwBMALhJSnl0/vN/BeB/AIgA+JyU8qf51skLIESKqu7CO1EN4YV3ouIw9xAVj7mHqDjMPUTFY+4hKg5zD1FxGDtExWO/jag4zD1ExVOMH1Op1yql3If4QKLM6ben/B4A8FGVz/8vAP+rZAUkIiIiIiIiIiIiIiIiIiIiIiLNsp+/TkREREREREREREREREREREREpIIDjoiIiIiIiIiIiIiIiIiIiIiISDMOOCIiIiIiIiIiIiIiIiIiIiIiIs044IiIiIiIiIiIiIiIiIiIiIiIiDTjgCMiIiIiIiIiIiIiIiIiIiIiItKMA46IiIiIiIiIiIiIiIiIiIiIiEgzDjgiIiIiIiIiIiIiIiIiIiIiIiLNOOCIiIiIiIiIiIiIiIiIiIiIiIg044AjIiIiIiIiIiIiIiIiIiIiIiLSjAOOiIiIiIiIiIiIiIiIiIiIiIhIMw44IiIiIiIiIiIiIiIiIiIiIiIizTjgiIiIiIiIiIiIiIiIiIiIiIiINOOAIyIiIiIiIiIiIiIiIiIiIiIi0owDjoiIiIiIiIiIiIiIiIiIiIiISDNTqVcghFgC4EEAXQAkgPullPdkzPNFAB9PKdNqAB1SygkhxHEAMwCiACJSyg2lLjMRERERERERERERERERERERESkr+YAjABEAn5dSviKEcAF4WQjxjJTyjcQMUsqvAfgaAAghrgHw51LKiZRlvF9KOVaGshIRERERERERERERERERERERUQ4lf6WalHJQSvnK/O8zAA4C6M3xkf8G4F9LXS4iIiIiIiIiIiIiIiIiIiIiIipcyQccpRJCLANwEYBfq/zdAWAzgEdSJksATwshXhZCbM+x7O1CiL1CiL2jo6M6lpqovjF2iIrD2CEqHuOHqDiMHaLiMX6IisPYISoe44eoOIwdouIwdoiKx/ghKl7ZBhwJIZoQH0j0OSmlV2W2awD8V8br1C6TUq4HcDWAPxNCXKH0QSnl/VLKDVLKDR0dHbqWnaieMXaIisPYISoe44eoOIwdouIxfoiKw9ghKh7jh6g4jB2i4jB2iIrH+CEqXlkGHAkhzIgPNvoXKeW/5Zj1JmS8Tk1KeXr+3xEAPwFwcanKSUREREREREREREREREREREREuZV8wJEQQgD4LoCDUsrdOebzAHgfgMdSpjmFEK7E7wCuArC/tCUmIiIiIiIiIiIiIiIiIiIiIiI1pjKs4/cAfALA60KIV+enfRlAHwBIKb85P+3DAJ6WUvpSPtsF4CfxMUswAfiBlPKpMpSZiIiIiIiIiIiIiIiIiIiIiIgUlHzAkZTyBQBCw3z/BOCfMqYdBXBBSQpGREREREREREREREREREREREQFK/kr1YiIiIiIiIiIiIiIiIiIiIiIqH5wwBEREREREREREREREREREREREWnGAUdERERERERERERERERERERERKQZBxwREREREREREREREREREREREZFmHHBERERERERERERERERERERERESaccARERERERERERERERERERERERFpxgFHRERERERERERERERERERERESkGQccERERERERERERERERERERERGRZhxwREREREREREREREREREREREREmnHAERERERERERERERERERERERERacYBR0REREREREREREREREREREREpBkHHBERERERERERERERERERERERkWYccERERERERERERERERERERERERJpxwBEREREREREREREREREREREREWlW8gFHQoglQohfCCHeEEIcEELsVJjn94UQ00KIV+d/bk/522YhxFtCiCNCiP9Z6vISEREREREREREREREREREREZE6UxnWEQHweSnlK0IIF4CXhRDPSCnfyJjvl1LKLakThBBGAN8AcCWAUwB+K4TYo/BZIiIiIiIiIiIiIiIiIiIiIiIqg5I/4UhKOSilfGX+9xkABwH0avz4xQCOSCmPSilDAH4I4NrSlJSIiIiIiIiIiIiIiIiIiIiIiPIp+YCjVEKIZQAuAvBrhT+/RwjxmhDip0KIgflpvQDeSZnnFFQGKwkhtgsh9goh9o6OjupZbKK6xtghKg5jh6h4jB+i4jB2iIrH+CEqDmOHqHiMH6LiMHaIisPYISoe44eoeGUbcCSEaALwCIDPSSm9GX9+BcBSKeUFAL4O4NFCly+lvF9KuUFKuaGjo2PB5SVqFIwdouIwdoiKx/ghKg5jh6h4jB+i4jB2iIrH+CEqDmOHqDiMHaLiMX6IileWAUdCCDPig43+RUr5b5l/l1J6pZSz878/CcAshGgHcBrAkpRZF89PIyIiIiIiIiIiIiIiIiIiIiKiCij5gCMhhADwXQAHpZS7Vebpnp8PQoiL58s1DuC3APqFEMuFEBYANwHYU+oyExERERERERERERERERERERGRMlMZ1vF7AD4B4HUhxKvz074MoA8ApJTfBPARAH8ihIgAmANwk5RSAogIIT4D4GcAjAD+UUp5oAxlJiIiIiIiIiIiIiIiIiIiIiIiBSUfcCSlfAGAyDPPfQDuU/nbkwCeLEHRiIiIiIiIiIiIiIiIiIiIiIioQCV/pRoREREREREREREREREREREREdUPDjgiIiIiIiIiIiIiIiIiIiIiIiLNOOCIiIiIiIiIiIiIiIiIiIiIiIg044AjIiIiIiIiIiIiIiIiIiIiIiLSjAOOiIiIiIiIiIiIiIiIiIiIiIhIMw44IiIiIiIiIiIiIiIiIiIiIiIizQoacCSEsAshzitVYYiIiIiIiIiIiIiIiIiIiIiIqLppHnAkhLgGwKsAnpr//4VCiD0lKhcREREREREREREREREREREREVWhQp5w9BUAFwOYAgAp5asAluteIiIiIiIiIiIiIiIiIiIiIiIiqlqFDDgKSymnM6ZJPQtDRERERERERERERERERERERETVzVTAvAeEEB8DYBRC9APYAeDF0hSLiIiIiIiIiIiIiIiIiIiIiIiqUSFPOPosgAEAQQD/CsAL4HMlKBMREREREREREREREREREREREVUpzU84klL6AfzV/A8RERERERERERERERERERERETUgzQOOhBCPA5AZk6cB7AXwLSllQOVzSwA8CKBr/vP3SynvyZjn4wC+BEAAmAHwJ1LK1+b/dnx+WhRAREq5QWuZiYiIiIiIiIiIiIiIiIiIiIhIX5oHHAE4CqAD8depAcCNiA8EWgng2wA+ofK5CIDPSylfEUK4ALwshHhGSvlGyjzHALxPSjkphLgawP0ALkn5+/ullGMFlJWIiIiIiIiIiIiIiIiIiIiIiEqgkAFH75VSvjvl/48LIX4rpXy3EOKA2oeklIMABud/nxFCHATQC+CNlHleTPnISwAWF1AuIiIiIiIiIiIiIiIiIiIiIiIqE0MB8zYJIfoS/5n/vWn+vyEtCxBCLANwEYBf55jtFgA/Tfm/BPC0EOJlIcT2AspLREREREREREREREREREREREQ6K+QJR58H8IIQ4m0AAsByAH8qhHACeCDfh4UQTQAeAfA5KaVXZZ73Iz7g6LKUyZdJKU8LIToBPCOEeFNK+bzCZ7cD2A4AfX19mX8mIhWMHaLiMHaIisf4ISoOY4eoeIwfouIwdoiKx/ghKg5jh6g4jB2i4jF+iIonpJTaZxbCCmDV/H/fklIGNH7ODOAJAD+TUu5WmWcdgJ8AuFpKeUhlnq8AmJVS/n2u9W3YsEHu3btXS9GIGonINwNjh0hVzvhh7BCpYu4hKh5zD1FxmHuIisfcQ1Qc5h6i4jB2iIrHfhtRcZh7iIqnGD+FvFINAPoBnAfgAgA3CCFuzrtWIQSA7wI4mGOwUR+AfwPwidTBRkIIpxDClfgdwFUA9hdYZiIiIiIiIiIiIiIiIiIiIiIi0onmV6oJIXYB+H0A5wN4EsDVAF4A8GCej/4egE8AeF0I8er8tC8D6AMAKeU3AdwOoA3A/42PT0JESrkBQBeAn8xPMwH4gZTyKa1lJiIiIiIiIiIiIiIiIiIiIiIifWkecATgI4g/2eh3Uso/EkJ0AfjnfB+SUr6API8nk1J+CsCnFKYfnV8nERERERERERERERERERERERFVgUJeqTYnpYwBiAgh3ABGACwpTbGIiIiIiIiIiIiIiIiIiIiIiKgaFfKEo71CiGYA3wbwMoBZAL8qRaGIiIiIiIiIiIiIiIiIiIiIiKg6aR5wJKX80/lfvymEeAqAW0q5rzTFIiIiIiIiIiIiIiIiIiIiIiKiaqT5lWpCiGcTv0spj0sp96VOIyIiIiIiIiIiIiIiIiIiIiKi+pf3CUdCCBsAB4B2IUQLADH/JzeA3hKWjYiIiIiIiIiIiIiIiIiIiIiIqoyWV6r9MYDPAVgE4GWcHXDkBXBfaYpFRERERERERERERERERERERETVKO+AIynlPQDuEUJ8Vkr59TKUiYiIiIiIiIiIiIiIiIiIiIiIqpQh3wxCiHcLIboTg42EEDcLIR4TQtwrhGgtfRGJiIiIiIiIiIiIiIiIiIiIiKha5B1wBOBbAEIAIIS4AsDfAngQwDSA+0tXNCIiIiIiIiIiIiLK1LukD0KIBf/0Lumr9KYQERERERFRjcr7SjUARinlxPzvNwK4X0r5CIBHhBCvlqxkRERERERERERERJTlzKl3cOO3Xlzwch764/fqUBoiIiIiIiJqRFqecGQUQiQGJm0C8FzK37QMWCIiIiIiIiIiIiIiIiIiIiIiojqhZcDQvwL4TyHEGIA5AL8EACHEuYi/Vo2IiIiIiIiIiIiIiIiIiIiIiBpE3gFHUsr/JYR4FkAPgKellHL+TwYAn03MJ4RokVJOlqaYRERERERERERERERERERERERUDTS9Ek1K+ZLCtEMZk54FsF6PQhERERERERERERERERERERERUXXSNOBII6E4UYglAB4E0AVAArhfSnlPxjwCwD0APgTAD+CTUspX5v/2hwBum5/1LinlAwspZCwmcXzch2FvAF1uG5a1OWEwKBa94GWkTu/x2BCNASMzAXS7bZgJhHFmOoClbXbMBqIY8gbR12pHOCoxOB1Aj8cKm8mIY+N+LG62wWQSOD0ZwLJ2O2YDMQx5A1jkscFkEDgxMYdlbXYEwjEMeYPo8VhhMRpwYmIOfS12hGMpyzQbcXzcj6WtdgTDMQx6g+hrjZft9FRgvgwxDE4HsaTFhkgMGJwOoK/FhvD8711uK7rcRhwcnMPydjum56IY9gbjy4zEy9DttqLJasTbY36s6nZgwhefp8djhcNqxIg3AIfFjLHZIBZ5bIjJ+PoXNdtgBPDOVAC9zTY0WY0Y94XR2WTFpD+EQW96ubrcVnS6jHhzaA4ru+wYm42vp8ttRZvTiMMjc+jx2DHQ44bJZEAoFMW+M9MY8saXb4DAO1Nz6G22wWQw4PRUfJu8c/FjsrjZhiarGWO+IDqbrJiLRHFqci7tuC1pscEgBM5MB9DbbEckGsOpqfjxaXaYMTITRKfLBqMB88fhbF1IrS+pZVvUbIPFaMCpyfTyp9apRc02TPnCGPQG0uYpl9Ty9rhtWLvIA4vFWLb1E+ltai6AQ0O+ZBuystuJZrut0sUqiJacpjQPABwf92HcF4TFaIA/FEWX24a+FgdOTvqzpmcuN1cePDkR36e+UARLWhwIhKMY8gbgtpkxGwxjWasTs6EIvIEIfMEIPHYzPHYTwhGJQDQKSGB6LgKb2QC3zYRITGLMF0Krw4K5UAQOiwmT/hBanWYAAmOzIXgcZgTCEdjNJtjNRkzPhREIR9HqtCASlfAGwmhrssIkBFpdZoxMhzDhD8FjM2PCH0Kb04K5cAQWkxEmITAyG0R7kxXRWBQGYcTkXAidTVZICZyZDqDTbUWrw4gpfxST/jA6miyYDUUxG4igy22FxWTA9FwYM4EInFYTmu0mzIWimPCH4XGYYDYYMOkLw+Mwo9tjhdcfweRcGL5gBN1uK/yhKGaDUbjtJvhDEbQ4LIAExv0htNgt8AbCcFhMcNuNmAlEMRuMYGmrE8vbs/sjxfZ18h1nPZZfTBmU6miPxwYpgZGZILyBMDx2M1qdRkzO90XaXRZ0uawwGgWGpoOY8IXQ6ozvx44mG5odJozMxJc3MhOE22aCEAJjs0F0uqzwheJ1y2UzYsofUd0XLpspfuwCEbS7rAAkQhGJsdkgejx2NDtMODMVQKfLBpMRmPKF4Q9HMe4LoctlRYvTiAlfFOOzITTZTHBajJgJhNFsNyMcA0Zng3BZTbCZDTAZDAjHohAQCEclZudjaWy+7jrMBpyZDqLNaUEoGkVMSjgtZswEIwiEo1jcYoM/GMPobBAeuxmhSBROqwlTc2F0u2yYC0cxOr+s2VAYTRYzpufi+1ZCYtofQbPDBIMQiMaA6bkQWhwW+EPxOh+TEsGwxFw4gmaHGWaDAaOzQdjMRrhtJtgtBpyeCsBlNWNqfrmAxJQ/DLc9Hs8mgxHNDjNWdrhwxjuHkZkgpv1hNNlMCEQiaHfaYBDAOzn6Tql1ZtgbSPbPRmfjxzsUjcFiNMAXjG9/KBpFm9Na0jpdLqWI08xlLvbYcXDYi3FfEK0OKwKRGPzBeP0PRqJod1qT50A9HjvO62jCkfFZTPnDCMeisJlMmAmE0d5khdEgMDoTRIfLimAkhpGZeP11WowQApgJxPNGk9WEtiYzZgJRjMznb4MAxufjWgDwh2OYDcTbUwlg2BuEy2aCw2KYbzdiGPeF4LKZ0GQxYtQXQpfbirlQbD5ebQhHY5j0h9FkNaHJakAkhrR8YzMZ0e2yYWl7EwDgnUkfhqeDGJ6JnxdZzQYMTQdgMxvRZI1vp91iQiQahdNixlwkCu9cBC6bCcFIFC0OCyIxidGZIHrcNoRjMXgDESxpdsAXiuDU1Bx63DYMdLsxNBtI5tmlrU4sbXXgxIQfJyZ8aLKa4LAYMReOwmIwYMIfgnN+2kwgknaOktknyFdXCu1zqJ0D6VX/ypl78uU/LdtdTPnz5UBfMIommwnhSAzTgXCyPij15VLbwsT6I5FY/PxuOoA2lwUWo4BRCLQ2WRAKS5yc8MNmMcBmMsJqMmDYG88ZZpPA2EwIDqsR/lAEbpsF3kAIDrMRZpMRkWgMBiEwHQjDbY3nD4c1HguBSBThiEQoGoXTYoJ3LgKHxQiTUcBiNCAmJWLzOb3dZUUwHIHTYoJRCJzxBtDeFG9Xmh0W2MwGhMIxBCJRRGJAIBxFs92MSCwKi9EEXygCfyjeH3TZjJiei2BsNoROlxWhaARGYYSUMVhMJkz4guh222E0AKen5uCZ7281282AkBifDcNjN6HbbQMgMDITxEwgjFanBSajgC8YxYQvhA6XFZFoFCajEV1uKyLz13tmAhG0NlnQ4jBCwIh3Jv1wWkzoclvR1xqvC5FIDAcGpzE4HUBHkxUGA+CxW0rSftdDniOqN/VwfaIWzMwFcDBlP6/udsLF/ay7ctZnxg7Vm3LV6UaMnUbbZm4vcw+RVnrUaT0HHEmV6REAn5dSviKEcAF4WQjxjJTyjZR5rgbQP/9zCYD/B+ASIUQrgF0ANswv/2UhxJ5iX90Wi0k8dWAItz78KgLhGGxmA3bfcCE2D3RrvtiitoyrVnfh6YPDuPXhV9HisODm9yzFPc8eTvt9ZWcT/tslS3HH4wfSpieWs+uaATy9fxAXr2jLmj91nt8eHcO7V7RnTU/9bL7pOzf14zdHx3HVmp6s8iiV7c6tA7CbJV59J4xdew4olu2OrQMIh0N45UQEt+85O/3LV6/CXDiGf/j5obT1P/irE5j0h7BzUz9++vogrl7bk7V+tbJ47AJ7j3vT1nPn1gEcPDOFf917GndtW4M/OL8bjx8Ywu2P7Vdd7+EhLy45px279igfk1z7SW2ZatuVWl829ndgz/5B1bLdtW0Ntq5dhJ+/NYJbH35VcX/ftW0Ntl3QW5ZBR6FQFI/uO5NW3juvXYNt6xZx0BHVpKm5AJ7eP4rb96TU6a1rcNWajprpHGrJaUrz3PexixCKSNz91EHcuKEP9z53OK1d+eFvTmDjqu606anLzZUH/+PwCA4Pz6a1ebdeuRJWowGffep3aHFY8CfvWwFfKJo1T1+rHUPTQfztU2+m5bBv/ucRnBifS/n/AXhsZnz80qXYlZIDdmzsx0N7T+LT7zs37TNf/OB5+M4vj2HSH8I9N12It0Zm8Y1fHM7a9l3XDMAoJG7f8wYC4RiWttnx6SvOxR1PHFBsp+/cOoCH957EtRcuxtujs1l56hv/ES/D0jY7Pv2+c9Pa78RyLCaBz1+5EqenAqo5L7Fdt/ze8vlc+jvV/ZPZHym2r5Orfum1/GLKsLTNjs9u7MfXnzt7/NTq1J1b1+Ab/3E4uW/+93VrEY1J3Pbo/rR9+9W9b+BPf/9cRGMx3PnEQcVj8JVrBvDjlw/j+nf14V9/fQKHRmZz9v1S+0X/9z/S6+/Zz1+A6blIsl4sbbPjz37/3LR+zc5N/WiymnBC+vE3P30zbbrTYsSiFjtGZ0L45n8eyarPd24dwEtvj+HJA8O4c+v5MJuMGJr2JuvZH/3eMux+5lBWPfvjK1ZgfDakGFs3bujDQ3tP4qZ39yXj4CvXDOD/pdTBv9y8CkajwEwgkhXj3/uv48n+0fJ2Bwang7j7qd8pxldinTe9uw+np+ZwanIOX/vZWxllegM3v2dZMr4z+06pdSb1uCfapH988VjWfkus90ubV5ekTpeLHuc8WpZ557Vr8PBvT+Cadb14ayi9HfyrD63GXHgqWc+Wttnx+SvPw+mpOfzwtyez9v0XP3geXjg0ig+u6cFXMs5xWhwm/O+fvplsU//0989Nq6OJ852rBrowNRdRredfvnoV7BYT/jqj/93ltmDCF1I8H1CKzUQ9+fglS7G83QePw4hjo3NpZco8J+h22/Avzx3Gxy9dhmm/Ly3X/fkHVsJuNuBvfvpmznONeM6I78PUv9+1bQ2+/tzZ9i5Rx//3U2+qlifxe6JPkK+uFNrnUNqOhdTBUtTpQtellv/y5YJic6dSOdT6aZnnkZnzKLWF3/rEegx7Q2nnd7uuGUCT1YAjo760eRN558cvn8KWCxYp5o9PXLoMFqPAd//rWDJfZMb5HVsHEAxHk/NkbkNvsxX+kExvA7YM4JFXDmPT6u60HPHcm0O4+T3LMOUPp/UBlrbZceuVK3FmypszjndtGcAv3hrE+8/rUe3rpfYt//XXJzAdCONzH1iJoelA3nz/yMsn8Yn3LMOwN5i2v1L7iIn19Xc14YpzOrDn9TNp+z2+7SfxPy47R/f2u1TxQ0TFqYfrE7VgZi6Anyrs56vXdHDQkY7KWZ8ZO1RvylWnGzF2Gm2bub3MPURa6VWnSz5SQUo5mHhakZRyBsBBAL0Zs10L4EEZ9xKAZiFED4APAnhGSjkxP8joGQCbiy3L8XFf8iILAATCMdz68Ks4Pu5b8DIODE4np1+3fnHyAlTq75+64pzkjaXU6Ynl3PH4AXzysuWK86fO85F39ylOT/1svun3PHsYn7xsuWJ5lMp2+54D6HI3JS+kK5Vt154DWNndkryQl5g+5gslBxulrv+69YuTv3/qinMU169WlhaHI2s9t+85gA+u7UUgHMNtj+7H60Pe5AVUtfV+5N19yW1SWleu/aS2TLXtSq0vrw9O5yzbbY/ux74zZ+uU0v6+7dH9ODA4rbnuLsS+M9nlvf2xeBmJatGhIV8ygQKJNmQ/Dg1pzweVpiWnKc2z71S8bdmyrjd5oyfxt9se3Y+b37sia3rqcnPlwX2nprPavN3PHMK4P5RsQ8d8IcV5IlEkb8Ampt/x+AFsWdeb9f9PXXFOsu1O/O3e5w5jy7rerM987WdvJdvWcETi9sf2K277HY8fgMNiTk7bsq43eQMqMU9qO337ngO4+b0rMDobVMxTiTIkyqS0nC3renFk1Jcz5yW2SymXZm5rZn9ErV4spH7ptfxiyrBlXS9uezT9+KnVqdv37E/bN8fGzt48TUxL7Ntdew5gyBtUPQZfeTx+rO94/AA+dcU5eft+ic/t2pNdfxOfj8WQVi+2rOvN6tfc8+xhjM4GMeYLZU0f84VgMRqSdSCzPt++J95fDIRjcFjMODaWXs8SNz8z98WQN6gaW4l/U+PgKxl1cNwfwshMdkzsfuZQWv8oEgXuzoj31OWmrisckcnBRpllSo3vzL5Tap1RapOU9ltiuaWq0+WixzmPlmXe/lg8Z4z7s2NwdDaYVs/i7V18UJLSvv/az97CJy9bnhxokJh+x+MHEIkirU3NrKOJ851BbzBnPR/zhZKDjRLT7nn2MCxGk+r5gFJsJurJ7mcO4fXT04hGRVaZMs8Jjo37cPN7V+DYmC8r1/3Dzw8l4zzXuUbqPszM3alxmJp31cqT+D3RJ8hXVwrtcyhtx0LqYCnqdKHrUst/+XJBsblTqRxq/bTM88jMeZTawpm5aNb53R2PH4DHbsmaN5F3PnXFOar54++ffgtjvlBavsgs5649B9LmyVxHs8Oa3QY8Ec/BmTni5veuwJFRX1YfYMu6Xryd0rdKTMuM4zueOICPX7o8Z18vtW/5qSvOwZZ1vWn5NHW7MvP9ze9dgbdHfVn76/aMee959jD2nZrGvjPTWfs9se2laL9rPc8R1Zt6uD5RCw6q7OeD3M+6Kmd9ZuxQvSlXnW7E2Gm0beb2MvcQaaVXndZzwFHer0YJIZYBuAjArzP+1AvgnZT/n5qfpjZdadnbhRB7hRB7R0dHFdc/7A0kd1hCIBzDyEwgX9HzLmNw+ux0IaD4+1wwojg9dTlT/rDi/KnzjM0G8342dfqkT3n6VMp0tTKnzj88E8hbttR5EmJSeXlCnP1dbd9oKUvq9NH5YxkIxzDsVd5PqesdmwnmXdekyn5SW6badqXOP6ShbEPe/Pt7aFp73VWjJXaGVOr9sHfh6yeqBLX2Ydgb1LwMLbFTSlpymtI8iTZZrT1Ta28Sy82VB9Xa+9j8MxCFUM8JvpDyeoXI/r9aGRPbpPQZAPDNf05t232hSPL/Wtr7uVAkb47LtZzM/ZFr3nzrSfw/tT+SOr2Qvg6grb+zkOUX029LPb6p+0zLvsk1T2YdVYyL+fo5N19HcvX91MqQ+nlfRh1W+3xMIlm2zOkT8/0Ttc+OzwaT69KjninFmNJ+1tLvy9x+pXkS68o1b66+U779mms/FFOny6Vc5zxal6nWDmZOS61fWvrcqdN9oUjeNnXKF85bz7Xkn8zP5asnMQmMzuTv18ckcuaMfG2QUs5QWlfm8tTKk/hdbXmZdaXQPofadhRbB/Wq0wuJH7X8pyUXFJM7c8Wclv5Jvnqs1rZOqMRhTObvf6W2rcW0v2rrTmyPUh8sV1uTa/sT7YbWXDQ33w5pjUEtfcTUfaJ2vp3Y9lK034Uss9LnPUS1TFvuWfj1CcqP+7k89NrPjB1qROW6Xt2IsdNo28ztZe4h0kqvOq1pwJEQwiiEeDPPbJvyLKMJwCMAPiel9Gosn2ZSyvullBuklBs6OjoU5+ly22Azp2+yzWxAp0v7I6HUltHjSZ+u9LvDalKdJ/H/ZodZdf7EPB1N1ryfTZ3e4lSe3pwxPV/Zuly2vGVT2j9Gobw8Kc/+nmvfaF2PzWxAx/yxjM+jvJ9S19vhsuZdV2uO/aS0zFzblZjeraFs3e78+7vbs/BH9GmJnR6V/d3l5iMCqTaptQ9dbqvmZWiJnVLSktPytclKn1drbxLLzZUH1dr71Lc1qM3jtCivV8rs/6uVUUr1zwCA02bKue1Oiylrmlp5bGYDHBZT3hyXbzmZn1ebV+t6MvsjiemF9HUA7f2dYpe/kH5b6r+Atn2Ta57MOqo0n32+ftrn60h8X9g19w9SlwOk18VcnzcIIPNtJ4npqf0Tpc+2NVmT69KjninFmNJ+1tLvU9v+zOXmmzfzM2r9FaX9l2s/FFOny6Vc5zxal6nWDuabpqXPnZjutJjytqnNTnPeeq41/2ipQ6ltR+b5ROo8id8NArDnyBn52iC1nJH5d6XlKZUn3/Iy60oxfQ4966BedXoh8ZPZ5p+dnn+7i8mduWJOS/8kXz1Wa1vV4tAg8ve/MtvWQttftXUncrBSH0xr+6PWbmjNRYn8rTUGc8W7Uryq5a/Etpei/S5kmZU+7yGqZdpyz8KvT1B+3M/lodd+ZuxQIyrX9epGjJ1G22ZuL3MPkVZ61WlD/lkAKWUUwFtCiL4c80yo/U0IYUZ8sNG/SCn/TWGW0wCWpPx/8fw0telFWdbmxO4bLky7ALb7hguxrM254GUM9HiS0x95+RR2burP+v3bz7+NXdcMZE1PLGfXNQP4pxeOKc6fOs+PfntScXrqZ/NN37mpH//0wjHF8iiV7c6tAxj2zuKOrQOqZbtj6wAODU7izq3p09ucFvz5B1Zmrf/fXjmV/P3bz7+tuH61skz6/FnruXPrAH72+mnYzAbctW0N1na7cee1a3Ku90e/PZncJqV17dzUj++p7Ce1ZaptV2p9WdvjyVm2u7atwbpFZ+uU0v6+a9saDPR4NNfdhVi7KLu8d14bLyNRLVrZ7cSdWzPq9NY1WNmtPR9UmpacpjTP2sXxtuXx105jx8b+rHblgRePZk1PXW6uPLh2sSerzbv1ypVoc1iSbWib06I4j8kI/M/Nq7Jy2BP7Tmf9/9vPv51suxN/27GxH0/sO531mS9+8Lxk22o2Ctx57RrFbd91zQD8oXBy2uOvncauLenrSG2n79w6gAdePIr2JqtinkqU4fHXTme134nlPP7aaZzT4cyZ8xLbpZRLM7c1sz+iVi8WUr/0Wn4xZXj8tdO4a1v68VOrU3duXZO2b5a1O3HXtjWK+/aOrQPJgcBKx+Ar1wzgwRePYtc1A/jO82+n7Au3Yt8v8bk7tmbX38TnDQJp9eLx105n9Wt2bupHR5MV7U5L1vR2pwWhaAy7rhlQrM93bh3Aj397EjazAf5gGMva0+vZrVeuVNwXXW6ramwl/k2Ng69k1MFWhwUdruyYuPXKlWn9I5MB+FJGvKcuN3VdZqPAFz94nmKZUuP7rm1rsHaRR7HOKLVJSvstsdxS1ely0eOcR8sy77w2njNaHdkx2N5kTatn8fauCTs39Svu+y9+8Dx874Vj+IrCOY7JiLQ2NbOOJs53ut3WnPW8zWnBVxX636FoRPV8QCk2E/Xk1itXYm2vB0ajzCpT5jnB8jYnHnzxKJa1O7Ny3Z9/YGUyznOda6Tuw8zcnRqHqXlXrTyJ3xN9gnx1pdA+h9J2LKQOlqJOF7qu1DY/fbrydQC1ebSWX6kcav20zPPIzHmU2kKXzZh1frfrmgFMz4Wy5k3knW8//7Zq/vjCVeeh3Xm2bVWK8zu2DqTNk7mOKX8wuw3YEs/BmTnigReP4pwOZ1Yf4PHXTmNFSt8qMS0zjndtGcC/vHQsZ18vtW/5neffxuOvnU7Lp6nblZnvH3zxKFZ0OLP2150Z8+7c1I91iz1Yu8iTtd8T216K9rvW8xxRvamH6xO1YLXKfl7N/ayrctZnxg7Vm3LV6UaMnUbbZm4vcw+RVnrVaSFTv16Va0Yhnkf8dWi/AZB8cZuUcmuezwkADwCYkFJ+TmWePwDwGQAfAnAJgHullBcLIVoBvAxg/fysrwB4V67BTQCwYcMGuXfvXsW/xWISx8d9GJkJoNNlw7I2JwyZXwHNQ20ZqdO73TZEY8DobABdLhtmAmEMTgewpNUOXzCKYW8Qi1vsiMQkhqYD6HJbYTcbcXzcj95mG0wmgTOTASxts2M2GH91VbfbBrNR4OTEHPpa7QhG4q/m6nZbYTUZcGJiDksyl2kx4sS4H0ta7QiFYxj0BrGkxYaYBE5PBdDXakc4GsPgdBBLmm2ISMTL2WJDJBb/vcttRZfbiDcH57Cs3Y7puXj5+1rtCM2XoctthctqxNExP1Z2OTDpj8/T7bbCaTNixBuEw2LC2GwQizxn19/jscEkgHemAuhttqHJasSEP4wOpxWT/lCyvKll6XQZ8dbQHPo77RjzxdfT5baizWnEkZE5dHtsGOjxwGQyIBSKYt+ZaQx7A/NP3xA4NTWHHo8NZqMBZ6bi2+Sd36Z4GcwY9wfR7rQiEIni9ORc2nHrbbbBaBAYnA6gp9mGaFTi9FQA3R4bWhxmjM4G0dFkg9EQfzR6al1IrS+ZZbOYDDg9mV7+1DrV47FhyheOLzNlngLkrei5Yie1vF1uG9Yt8sBiMRayfqKqMjUXwKEhX7INWdntRLNd9Zu+OeMnV+yUkpacpjQPABwf92HCF4TZaIA/FEWX24a+FgdOTvqzpmcuN1cePDkR36f+UASLWxwIhKMY8gbgtpkxGwxjWasTs6EIvIEIfMEIPHYz3HYTIhGJQDQKIYGpucj8zTATojGJ8dkQWpwWzIUicFhMmPSH0eo0AVJg3BeC225GMBKFzWyE3WTEdCD+ioxWpxmRqIQ3EEGb0wKTQaDVZcbIdAgT/hDcNjMm/SG0Oi0IRCKwGI0wCYHR2SDamqyIxqIwCCOm/CF0uKyQ8zmyw2VFq9OISX8UU3NhdDgtmA1F4QtG0NFkhdVswPRcGDOBCJxWEzw2EwKRKCZ9EbjtRpiMBkz5wvA4zOj2WOH1RzA5F4YvGEG3ywp/JApfIIommwmBcBTNdjMAYNwfQrPdgplAGA6LCW67EbOBKGaDEfS1OrG8Pbs/UmxfJ99xLmD5C8o9metSqqM9HhukBEZmgvAGwvDYzWh1xI/P8EwQbU4Lut1WGI0CQ9NBTPhCaHVY4A2G0e60osVpxuhMfHmjM0G4bCYIITA+G0R7kxX+cAR2swkumxFT/khaTCTKN+wNwGUzYS4UPx5tTguEAIIRibHZIHrcNjQ7zfH602SDyQhM+cLwh6MY94XQ5bKixWnEhC+KCV8ITqsJTrMRM8H49kRiwNhsEE3zT5cwGQwIx6IQEAhHJXyhCNxWM8Z88TI7LAacmYpveygaRUxKOC1mzAQjCISi6G21YS4Yf02v225GKBKF02LCVCCMLpcNgXAUo7PxvpAvHIbTYsb0XLwsEhLT/giaHSYYhEA0BkzPhdHiMMMfiqDJakJUSgQjEnOhKJodJpgNBozOhuJxbTXBYTXg9FQALmt8uW67GYDElD8Ctz1e702G+NM7V3a4cMY7h5GZIKb9YTTZTAiGo2htssT7dTn6Tql1ZmQmkOyfjc3Gj3coGoNlvh45LEaEozG0Oq1Fx0wJFJ179GoHci1zsceOg8NeTPiCaHFYEYzE4A9F5utdDG1Oa/IcqNtjw3kdLhwZn8WUP4xILAaryYiZQARtTfH2eWw+5oKRGEZngmh1WuCwGGEQwEwgnjearCa0NZkxE4hi5P9n787j5LrqO+9/T+3V1V3VUqvV3ZIsyQbJNi0Z4whIgIfFBmMntuyHJCxZmCy8yGQgeOKE10wYjxUbz0yeJxNnTGACTMYsM08IJICRPSwmZgKTcUgse4wsGVsyXmRJ3a1eq7prX87zRy2q6q7bXX1V1erl83696uWue8+993fvPb9zzi0dV81mNdATlMdIk8m8Nkf88khK5UuazRRq/yfOudly7nQFPJX7XdJkKqeeoE+RgFcTlRxM58s5MRQLKV8s/1x1JOhTJOhRsajz/U2+qICv/G2ku7d0S5Jenk5qLJ7VudmstlYmMI7Gswr5PeoO+DSbzSvs96lQKqor4FemUNRsulCuz4WiNoUDKlir8dmsBqMhFUrlc9jR26VkrqAzM2kNREPaNxjV6Fym1s/u3BzRrs1demkqpVNTSXUHfQoHvErniwp4PJpK5WrLZjMFbe05/4wyf0ywVF1Z7pjD6RmoXfVvJfuepfq/Vs7bTU620gdGAl7li1aJTL5WH5qN5erbwurxC4WSjp6NazSRUV8koIDPyCOjvp6Acnmrl6dTCvg86vJ7FfB5dG42q2jIL7/PaHIup3DAq1SuoGioPDYJ+T0KeL0qlEryGKN4Jq9opZ3vCnrVHSyPh/IFq3yxqK6AT4l0QeGAV36vUcDrUclalSp9erk9KI/9fMbobCKjLZGg5nJ5xUIBhQIe5fIlZQpFFUtSujJmKpSKCnh9SuYKSuWK2hwJqCfkVTxd0MRcTlt7gsoXC/IYr6wtKeDzaSqZ00A0KJ/H6MxMRrGwX4lsXr0hv2SspuYK6gl5NRQLSTI6N5vVbCavTV0B+X1GyWy5/+7vCapQLMrv9WprNKhC0WokntFstqDNXQFt6vLKGK9OT6fUFfBpIBrUzs3lulAolHR8JK6ReEZbuoPyeaRoONCR9vtC8udiPfegOWOM3vOZRy94P1/+rTeo1c+H4eiC+p5lfj4Bl2bTGf247jpfORhRD9e57dr5eZtE7mBjWanPqzdi7my0c+Z86XuAVrUjf5Yz4egtzZZba7+/xHZvkvS/JD0lqfojcB+TtLOy/acrk5I+KekGSSlJv26tPVLZ/jcq5SXp31lrP7dUrHwAAjR1QZ0osMHxwTvgDn0P4B59D+AOfQ/gHn3PGsKEo1WFvgdwh9wB3GPcBrhD3wO41zR/fK1uvdTEokW2+3ung9eVsZI+5LDufkn3uzk2AAAAAAAAAAAAAAAAgPZqecKRMWZWUvV/dwlI8ktKWmujnQgMAAAAAAAAAAAAAAAAwOqznG846qn+XfkJtFsk/XQnggIAAAAAAAAAAAAAAACwOnncbGTLHpD0zvaGAwAAAAAAAAAAAAAAAGA1W85Pqr2r7q1H0gFJmbZHBAAAAAAAAAAAAAAAAGDVannCkaSb6/4uSHpR5Z9VAwAAAAAAAAAAAAAAALBBtDzhyFr7650MBAAAAAAAAAAAAAAAAMDq52m1oDFmhzHm68aYc5XXV40xOzoZHAAAAAAAAAAAAAAAAIDVpeUJR5I+J+mwpG2V14OVZQAAAAAAAAAAAAAAAAA2iOVMOOq31n7OWluovD4vqb9DcQEAAAAAAAAAAAAAAABYhZYz4WjSGPMrxhhv5fUrkiY7FRgAAAAAAAAAAAAAAACA1Wc5E45+Q9K7JY1KGpH0C5J+vRNBAQAAAAAAAAAAAAAAAFidfK0WtNa+JOlgB2MBAAAAAAAAAAAAAAAAsMq1POHIGHOppN+RtLt+O2stk5AAAAAAAAAAAAAAAACADaLlCUeSHpD0XyU9KKnUkWgAAAAAAAAAAAAAAAAArGrLmXCUsdZ+YrkHMMbcL+kmSeestfuarP+opF+ui+dKSf3W2iljzIuSZiUVJRWstQeWe3wAAAAAAAAAAAAAAAAA7bOcCUf3GWMOSXpYUra60Fr7xBLbfV7SJyV9sdlKa+0fS/pjSTLG3Czpd621U3VF3matnVhGnAAAAAAAAAAAAAAAAAA6ZDkTjvZL+lVJ1+r8T6rZyntH1tofGGN2t3iM90n60jJiAgAAAAAAAAAAAAAAALCCPMso+4uSLrPWvsVa+7bKa9HJRsthjOmSdIOkr9YttpIeNsY8boz54BLbf9AYc8QYc2R8fLxdYQHrHrkDuEPuAO6RP4A75A7gHvkDuEPuAO6RP4A75A7gDrkDuEf+AO4tZ8LRMUm9HYpDkm6W9L/n/Zzam6y110i6UdKHjDFvdtrYWvtZa+0Ba+2B/v7+DoYJrC/kDuAOuQO4R/4A7pA7gHvkD+AOuQO4R/4A7pA7gDvkDuAe+QO4t5yfVOuV9Iwx5jFJ2epCa+3BNsXyXs37OTVr7ZnKf88ZY74u6XWSftCm4wEAAAAAAAAAAAAAAABYpuVMODrUqSCMMTFJb5H0K3XLIpI81trZyt/XS7q7UzEAAAAAAAAAAAAAAAAAWFrLE46std93cwBjzJckvVXSFmPMaZUnLvkr+/x0pdj/Lelha22ybtMBSV83xlTj/Etr7bfdxAAAAAAAAAAAAAAAAACgPVqecGSMmZVkK28DKk8aSlpro4ttZ61931L7ttZ+XtLn5y17XtKrW40PAAAAAAAAAAAAAAAAQOct5xuOeqp/m/LXDt0i6ac7ERQAAAAAAAAAAAAAAACA1cmzVAFjzIJJSbbsAUnv7ERQAAAAAAAAAAAAAAAAAFanVr7h6J8kXWOMeVfdMo+kA5IyHYkKAAAAAAAAAAAAAAAAwKrU8k+qSbpZkq38XZD0oqSD7Q4IAAAAAAAAAAAAAAAAwOrVyoSjrcaY2yUdm7fcSvpVSfe2PSoAAAAAAAAAAAAAAAAAq1IrE468krolmQ7HAgAAAAAAAAAAAAAAAGCVa2XC0Yi19u6ORwIAAAAAAAAAAAAAAABg1fO0UIZvNgIAAAAAAAAAAAAAAAAgqbUJR9d1PAoAAAAAAAAAAAAAAAAAa8KSE46stVMrEQgAAAAAAAAAAAAAAACA1a+VbzgCAAAAAAAAAAAAAAAAAElMOAIAAAAAAAAAAAAAAACwDEw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaFnHJxwZY+43xpwzxhxzWP9WY0zcGPNk5XVn3bobjDHPGmOeM8b8607HCgAAAAAAAAAAAAAAAGBxK/ENR5+XdMMSZf6XtfbqyutuSTLGeCV9StKNkl4l6X3GmFd1NFIAAAAAAAAAAAAAAAAAi+r4hCNr7Q8kTbnY9HWSnrPWPm+tzUn6K0m3tDU4AAAAAAAAAAAAAAAAAMuyEt9w1IqfMcb8yBjzLWPMcGXZdkkv15U5XVnWlDHmg8aYI8aYI+Pj452MFVhXyB3AHXIHcI/8AdwhdwD3yB/AHXIHcI/8AdwhdwB3yB3APfIHcG81TDh6QtIua+2rJf2ZpAfc7MRa+1lr7QFr7YH+/v52xgesa+QO4A65A7hH/gDukDuAe+QP4A65A7hH/gDukDuAO+QO4B75A7h30SccWWsT1tq5yt/flOQ3xmyRdEbSJXVFd1SWAQAAAAAAAAAAAAAAALhILvqEI2PMoDHGVP5+ncoxTUp6TNIeY8ylxpiApPdKOnzxIgUAAAAAAAAAAAAAAADg6/QBjDFfkvRWSVuMMaclHZLklyRr7acl/YKk3zbGFCSlJb3XWmslFYwxH5b0HUleSfdba493Ol4AAAAAAAAAAAAAAAAAzjo+4cha+74l1n9S0icd1n1T0jc7ERcAAAAAAAAAAAAAAACA5bvoP6kGAAAAAAAAAAAAAAAAYO1gwhEAAAAAAAAAYN3YfslOGWMu+LX9kp0X+1QAAAAAYNXq+E+qAQAAAAAAAACwUs6eflnv+cyjF7yfL//WG9oQDQAAAACsT3zDEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHAAAAAAAAAAAAAAAAAFrGhCMAAAAAAAAAAAAAAAAALWPCEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAwAXbfslOGWMu+LX9kp0X+1QAAAAAAMASfJ0+gDHmfkk3STpnrd3XZP0vS/pXkoykWUm/ba39UWXdi5VlRUkFa+2BTscLAAAAAAAAYPnOnn5Z7/nMoxe8ny//1hvaEA0AAAAAAOiklfiGo89LumGR9S9Ieou1dr+kj0v67Lz1b7PWXs1kIwAAAAAAAAAAAAAAAODi6/g3HFlrf2CM2b3I+vr/7emHknZ0OiYAAAAAAAAAAAAAAAAA7qzENxwtx29K+lbdeyvpYWPM48aYDy62oTHmg8aYI8aYI+Pj4x0NElhPyB3AHXIHcI/8AdwhdwD3yB/AHXIHcI/8AdwhdwB3yB3APfIHcG/VTDgyxrxN5QlH/6pu8ZustddIulHSh4wxb3ba3lr7WWvtAWvtgf7+/g5HC6wf5A7gDrkDuEf+AO6QO4B75A/gDrkDuEf+AO6QO4A75A7gHvkDuLcqJhwZY66S9BeSbrHWTlaXW2vPVP57TtLXJb3u4kQIAAAAAAAAAAAAAAAAQFoFE46MMTslfU3Sr1prT9Qtjxhjeqp/S7pe0rGLEyUAAAAAAAAAAAAAAAAASfJ1+gDGmC9JequkLcaY05IOSfJLkrX205LulNQn6T8bYySpYK09IGlA0tcry3yS/tJa++1OxwsAAAAAAAAAAAAAAADAWccnHFlr37fE+g9I+kCT5c9LenWn4gIAAAAAAAAAAAAAAACwfBf9J9UAAAAAAAAAAAAAAAAArB1MOAIAAAAAAAAAAAAAAADQMiYcAQAAAAAAAAAAAAAAAGgZE44AAAAAAAAAAAAAAAAAtIwJRwAAAAAAAAAAAAAAAABaxoQjAAAAAAAAAAAAAAAAAC1jwhEAAAAAAAAAAAAAAACAljHhCAAAAAAAAAAAAAAAAEDLmHAEAAAAAAAAAAAAAAAAoGVMOAIAAAAAAAAAAAAAAADQMiYcAQAAAAAAAAAAAAAAAGgZE44AAAAAAAAAAAAAAAAAtIwJRwAAAAAAAAAAAAAAAABaxoQjAAAAAAAAAAAAAAAAAC3zrcRBjDH3S7pJ0jlr7b4m642k+yT9rKSUpF+z1j5RWffPJN1RKXqPtfYLFxJLqWT14mRSY4mMBqIh7e6LyOMxyy7TjuMUCiUdH4lrJJ7Rjk1hhXxejc9lW4prW29IM8m8RhIZDcXCGh6KyufzNJQZioVULEnnZjPa0h1UMlvQ6Zm0tsVC6g37NTabddxPfWz1yzOZgp4aiWs0kdVgNKjB3qBOTzWeY30MW7uDSheKmk5lFfT5ND6b1VAspLDfo5em0tq9Jay5TEmjiYwu6Q2rJKszMxkNRUPavy2mQMDreI2drl/1mKen0w2xO13LrT0heT3SSLzx7/prsy0WlpXVy9Np7d7cpULJajSR0a6+sLL58t9DsbB6u3w6O+N8PerviVOZpZZLuuD6CUCaSWd0YjSpsURWA9Gg9g5G1BsOXeyw1qRmfYbHY5bdVpVKVqemkjo3m1U8nVc05NdANKgdvV06NZ2q7WtHLKwfjyUq7XZQXo/RXLagbL6knZvDmknlNVK5r7GwV4l0Uedms+rvCSqdKyjk90mmKI+8mknlFfJ7FQl6taUnoHxBGktkFPJ7lCuWFE/n1dvlV9DjUTJfVL5YVMjvUzJbUCwcUCKTU18kpCsHenQ6nm6I8cS5WU2lckrnixqKhRULO/cR8XROxZI0MZd17LuaXa8XJpJ6aSqpSMDX9Fqthz5iqTHVcvvQU1PlvE/mCrq0L6KSLd/zoM+jeOV+zr/+8/e1c9P561w/dmjWV88fW0wn85pIZhUN+ZXMFrRzc0SXbmnev1eXTSazCng9SmaLigR9yhWL6osEtbsvolLJ6vhIXGfjGXUHfdoc8esVm7t1YnxWo4msYmG/MvlyvR+IBrUtej5/tvWGFQ35NJbIKpHJKxb2a2tPYz3a2hOS3yeNzmTL46yeoDweKV8oyef1NtTZ+rwfioVkrXRuNqtktqAtPUEVSyX5vR5l8yVlCkWVSlbRkF+pfLHhnJeq1/VtwFAsvCD/FhsvMbZaWjuehVrZp9R4r4d6g0qkCppO55XJF7WtN6RUtqjpVF6bIn4VS1aJdF7hgE+RgFdz2bx6gn4lc0XNZQva0h1QIpNXbzigkpWmkjn1RnzyyKPpZE5boyHt3RLR8bFZnZvNqL87qGyhKL/Xq8FYUKVSub5WcyHo9WgyldXWnpCCPq9enk4pEvBpa09Qxkjjc+W8TOWKC9qF6vuXplJ6aSqpvq6ACiWr8bmsdmwKN+zPqe0ulayeGUtoOlW+Hpf1RXRpf3dL98LpWYf6vba5zU2nZ3un9Zf3d+vZ8VlNJrOKhgIqWaugz6NsoSSPMZpKZjUQDWtTxKeRmcb+9Nxsuc75vNLEbE6ZQlHZfEmXbenSRDKv0XhGW6NBDcaC2tG7eFv9/PicXpxMKhL0KVMoKBLwqcvvU7pQVFfAq+lkXrOZgvq6A4qFvZrLlBTP5LVrU5f8fqPRmawmkllt7+3S8FBUkvR0pb+Mhn0aioZ1yaYuvTyd0tl4WrOZgrb1hnXF1vN9ylAspELRaiSelt/nUSJd0GAspFf2den46KymUnn1dfkVzxQUDngU9HrV1x3Qzs3nz2M5Y7VOtL8A1gY+n1gZuVxRR8/Gy5/jtvDZM9xJpDN6pq4+XzEYUbRD9ZncwXqzUu1UMp3V8dG5Wu4MD3YrEg62/TiryUZrLzjfzp3vSvZzwEpoR/6syIQjSZ+X9ElJX3RYf6OkPZXX6yX9uaTXG2M2Szok6YAkK+lxY8xha+20myBKJatvHx/V7V95Upl8SSG/R/e++2rdMDzY8AHPUmXacZxCoaQHfnRGdzxwTJu6Anr/z+zSfY+cbCmuvVu79b7X79JdDx6vlb/n1n06uH+b/vbZc7r9K0823edt1+3RF//hJU2ncrrtuj36p+cndf2+oQX7uWl4SA8dH9EdDxxrWP6zrxrQQ8fGdOfh88vvPjisH/5kQt88PqZ73321rr9yQA//eKzh3D/6zsu1uSugP/j6E7Vlh24e1mPPT+i1l23RXQ8ebxrv3bfs061XbWs6oFrq+tWf6z237tOtr95e+1C12f1p5drMX97sPhy6eVhf+seXdOLc3ILr4XSfm10zp+Wf/KXXKFewF1Q/AZQ70IePjc9rz/bp+n3963rg3Qn17XH1Wv7xL1wlj/Ho9/669baqVLL63rNjen48qXu/e6K23cduvEJdQV9t/7v6wvrQ2/bozm8ca2h7P/3955Qr2IV9ycFhfervntNLk+ly2ZuG9T+ffVHXXTmkQ4ePNxwnHPDp39bt97br9uhbT43oF35qh5K5ov7qsVN6z4Gd+sT3zu//I9fu0ZePPK0PvW2PvvLYSzryUlwHdsX0/jdcqjPT6QWx/PcfLuwj7v/7n+jnr9mpux5q7I/r+65m16tZX7ZjU1j/8eFna+e71vuIpcZUTuud+lBJOjk2p/seOdm0X67ez9+5dk/t+s8/xq6+sH7n2j0Ndb5+HNGsr64fQ3z6+88tqEdO/XvAZ/Txh552qHendPctwxqfzTXE8rEbr9DTZ2cb6nK1/G++8dIF9byaP9U6c8fPXamQ39uQc//ira9syJe7Dw7L7/PoD772VEOd7e8J6Lf+2xPa1BXQb7/lMiVzxQU5IFlNJvNN8+mTv/QaZfO2oe24/R17NRQL6aN/c1SZfEkHdsX07tfuamgD7r5lnz71P0/WzsHpejK2Wlo7noVa3WfAZ/Thv/w/tfv6qz+zW2dnMgvyc1NXQL/+xt0NfcNt1+3Rrs1demZ0rmH57759r/7yn57We1+7U996akQ37h+aVwf36VN/d76ufOTaPfreM6P65Z/erdF4pqHs7e/Yq96QTy9MpPTH33m24dh9Eb+mUwX96d+ecGwX7rl1n/7seycVC/lrzwxO5zK/7f7Mr16jRLqg0/P6kT/5xat1477F78VSzzobuX6vZW5zs9k4rX6M0Wz93Qf36StHXtK1Vwzqy0fKbXX1v/Vt9l0Hh/XXR07pzEx2QX9618FhZfNF/ftvPdP0ufmug8O6tD+tidlC07b6O0+PNfQF9f1Y0OfRVCq/4Hhej/QnD59UwGcW9Fv33LpPIb9Xv//XP2rIi8v6I3ppMlXLyfpxZrUdatZfffyWffryYy/pHa8a0m1/25jPkYBX2zbN6a17ti7oc+aPa+vvo6S2t78A1gY+n1gZuVxRDxw9u+A5wumzZ7iTSGf07Sb1+YZ9/W3/x1hyB+vNSrVTyXRW/+PYuQW583P7tq7bSUcbrb3gfDt3vivZzwEroV35syI/qWat/YGkqUWK3CLpi7bsh5J6jTFDkt4p6bvW2qnKJKPvSrrBbRwvTiZrH95IUiZf0u1feVIvTiaXVaYdxzk+Eq99yPSua3bUPixrJa4PvPkVtQ/rquXveOCYjp6N18o02+d9j5zUu67ZUfv71950adP9PFUXW/3yY6OztQpXXX7n4eP6hdfurMV8fCS+4Nz/+DvP6oXJZMOyux4sb1c9frN47/xG+ZyaWer61Z/rHQ8c0/GR8/tpdn9auTbzlze7D3c9eFwfePMrml4Pp/vc7Jo5LT96unnZ5dRPANKJ0WST9uyYToySS8t1vEmfcfLcXO0fiarLlmqrXpxM6ujpeO0ffKrbTSRzDfu/6arttQfvapm7Hjyum67a3rwvOVxeVyv70HH98k9fWvtHqPrj/Nt5+73vkZP6wJtfoYlkTvc9clI3XbW99o9N1TKf+N7JWkzvf8NlkqT3v+EyPXdurmkszfqI97/hstpko2rZ+X1Xs+vVrC87eW6u4XzXeh+x1JjKab1TH3r0dLx2X5rVl+r9rL/+849RXe80jmjWV9ePIZrVI6f+/ejp+KL1bjZdXBBLs7pcLd9sXTWm6vtzs9kFOTc/X+48fFwvTDSO7e544Jhm08Xata3mzfztugJ+x3w6ejq+oO2497sndPLcXG3Z+99w2YI24M5vHGs4B6frydhqae14Fmp1n0dPxxvu60/Gk03z813X7FjQN9z3yEmVrBYs/9O/PaGbrtpea78X1sHGuvKJ753U+99wmV6YSC4oe+93T6gr6K9NNqo/dlfAX5tsJDVvF+54oHys+mcGp3OZ33bPpos62aQf+b2/XvpeLPWss5Hr91rmNjebjdPq+7hm6+88XB7TVPuO+v/Wlzt0+Lje/4bLmvanhw4f10Qyp0y++XPzocPHVSwax7Z6fl9Q34+dqZscWL+/kM+nd12zo2m/dccDx3RibHZBXuQLtiEn68eZ1fNqdu7/tjLuq28HqvucSOZ09HS8aZ8zf1xbfx870f4CWBv4fGJlHD0bb/oc4fTZM9x5xqE+P9OB+kzuYL1ZqXbq+Ohc09w5PjrX1uOsJhutveB8O3e+K9nPASuhXfmzIhOOWrBd0st1709XljktX8AY80FjzBFjzJHx8fGmBxlLZGoXrKr8DyuZZZVZSiv7GImfL2OMlhVXOltoWn40sfQ+jTn/93Qy77CfbNPlYw7LJ+eytb/rz6u+TMlqwbKJueyS8Y4lml/3Vq5f/bmOxpe+x61cm5m65U73IZ0rNL0eTnE6XbNmy0t26bqyXK3kDrDeOLVnY4lsy/sgd8ra1VaNJTJNt5u/bLE2f6n+oPp+pkkb7xRzOluorVts//Xtf/02C/bXpI9w7Nfji18vp/52/vleSB/RKa3mz1JjKqf1TvWy/r4sdT+r13/+MZaqZ073vlrvmm3vtE31fjodL9mk7jjty5jF1zlt73T8ZmO7ZKV+L3asZK7g6jpUOeXLYudQLbNSY6tO6nTf045noVb3Of++OuWnUx1sVv8b2uQW6kq1XV6qvi517MXytD6OxfKpPq7kIv3IUveilWed1Vq/O20tj93c5qbTs2a1j3NaX6231TrrVHfTucKS/YRTLo7PNR+PO8VU7VsWy9fFxoNO/ZZTLi957g7nVY1xuX1OJ9rfdlnLuQNcbK19Xn3hn09gaaMO7azTZ89wp131mdzBRtSOdorcaW6jnTPnS98DtKpddXq1TDi6YNbaz1prD1hrD/T39zctMxANKeRvPOWQ36OtPaFllVlKK/sYioUbyiwnrq6gr2n5wXnHbVbG2vN/b474HfYTbLp8wGF5X3ew9vf886oun/8N4CG/R/3dwSXjHYg2v+6tXL/6cx2MLX2PW7k2vXXLne5DOOCr/T0UW/qezC+z2HKvWbquLFcruQOsN07t2UC09a+NJXfKmrX7btqqgWio6XZO+5r/vr4Nd1pXfd/bpI13Ok5X0Newzmn/9e3//G3qyzbrIxz79dji18upv51/vhfSR3RKq/mz1JjKab1THzr/vix2P6vX3+kYzbarHmepMUSr9a86fnI6XiS0sO447cvaxdcttb1TbPXLIoHzv9bstJ9IwOf6OkjO469WzmGlxlad1Om+px3PQq3uc/59XSw/m9alJvW/PodbqSshv0ddAec2u76+tnLsZseaH0crbXck5BzTUveilWed1Vq/O20tj93c5qbT83m1j3NaX19vFxsD1Y9r5q+r5rhTLs7/PKC63Cmmaj+2WL4uNh506rcWy+XFzt3pvDxG8hgtu8/pRPvbLms5d4CLrbXPqy/88wksbcihnXX67BnutKs+kzvYiNrRTpE7zW20c+Z86XuAVrWrTq+WCUdnJF1S935HZZnTcld290V077uvbvjQ6N53X63dfZFllWnHcYaHorrn1n0K+T366uOnddt1e1qO67/84Cc6dPNwQ/l7bt2nq7bFamWa7fO26/boa0+crv39ub9/oel+9g/FarHVL9832KO7DzYuv/vgsP7msVO1mIeHogvO/aPvvFyX9kUalh26eVh//dip2vGbxXv3LeVzamap61d/rvfcuk/DQ+f30+z+tHJtbrtujz5ft7zZfTh087D+4gc/qbsei9+T+WWWWr5/R/Oyy6mfAKS9g5Em7dk+7R0kl5arvj2WytfylVu79Se/uLy2andfRPt3xHT7O/Y2bNcXCTTs/8EfndHdt+xb0PY+dPRM877kYHldrexNw/r/fviC7jo4vOA4H5+339uu26P/8oOfqC8S0G3X7dGDPzqjj1zbuP+PXLtHDx0tx/TFR5+XJH3h0ef1iq3dTWNp1kd84dHndeimhf1xfd/V7Ho168v2bO1uON+13kcsNaZyWu/Uh+7fEavdl2b1pXo/66///GM8+KMzC+p8/TiiWV9dP4ZoVo+c+verdsQWrXc9Ie+CWJrV5Wr5Zuuq+VN9398TXJBz8/Pl7oPDunRL49junlv3qSfsrV3bat7M3y6Vyzvm0/4dsQVtx+3v2Ks9W7try77w6PML2oC7b9nXcA5O15Ox1dLa8SzU6j6v2hFruK+X9Uea5udXHz+9oG+47bo98kgLlv/u2/fqoaNnau33wjrYWFc+cu0efeHR57V7S2RB2dvfsVepbF4ffeflC46dyub1u28/f+xm7cI9t5aPVf/M4HQu89vunpBXr2zSj/zJLy59L5Z61tnI9Xstc5ubzcZp9X1cs/V3H9ynLzz6vD5y7fm2ulmbfdfBYX3x0eeb9qd3HRzWlkhAIX/z5+a7Dg7L67UObXV0QV9Q349ti4WaHi9TKOhrT5xu2m/dc+s+7R3oWZAXfp9pyMn6cWb1vJqd+8dvKV+j+nagus8tkYCu2hFr2ufMH9fW38dOtL8A1gY+n1gZ+7fFmj5HOH32DHeucKjPV3SgPpM7WG9Wqp0aHuxumjvDg91tPc5qstHaC863c+e7kv0csBLalT/GWrt0qTYwxuyW9JC1dl+TdT8n6cOSflbS6yV9wlr7OmPMZkmPS7qmUvQJST9lrZ1a7FgHDhywR44cabquVLJ6cTKpc7MZbe0JaXdfRJ55/6tbK2WW0so+CoWSjo/ENRrPaPumsEI+ryaS2ZbiGoqFNJPMazSR0WAspOGhmHw+T0OZwWhIxZI0PpdRXySoZLagMzNpDcZC2hT269xc1nE/9bHVL89kCnpqJK6xRFYD0aAGe4M6M914jvUxbIkElSkUNZ3KKujzaXw2q8FoSF0Bj05NpbWrL6y5bPlrIbf3hmVldXYmo4FoSFdtiykQ8DpeY6frVz3mmel0Q+xO17K/OySvp/yVlfV/N1ybaEgy0unptHZu7lKxZDWWyGhnX1jZfPnvwWhIvRG/RuLO16P+njiVWWq5JLf1c8lCi+UOsN7MpDM6MZqstWd7ByPqDTv+HyOL5s9Gz51mfYbHY5bdVpVKVqemkhqfzWomnVc05NdANKgdvV06NZ2q7WtHLKwfjyU0Es+ovycov8doNltQrlDSJZvCmknlNZLIaqAnqFiXV4l0Uedms+rvCSqdKyjk90kqyWM8mknlFQp4FfF7tSUaUL4gnZvNKODzqFAsKZ4uKNblU9DjUTJfVL5YUsjvVTJbUCwc0Gwmp82RoK4ciOp0PN0Q44lzs5pK5ZTJlTQYCyrW5dxHJNI5FUrSRKVvbtZ3NbteL0wkdWoqqa6Ar+m1cjOGabML7nuWGlMttw89NVXO+1SuoN19EZVs+Z77vZ7a/Zx//efva+em89e5fuzQrK+eP7aYTuY1kcwqGvQrlSvoks0RXbqlef9eXTaVzMrv9SiVK6or4FW+WNLmSLAcf8nq+EhcI/GMIkGfNnf59Yq+bp0Yn9VoIqtY2K9MvlzvB6JBbYuW82c0Xo4nGvZrLJFVIpNXb9iv/p7GetTfHZLfJ43OZDU+l9XWnqA8HqlQLMnr8TbU2fq8H4yGZK10brZ8rfsiAZWslc/rUTZfUqZQlLVWPUG/UvmiBqLnz3mpel1tA6ptzvz8W2y81OaxVaddlL6nHc9CrexTarzXQ71BJVIFTafzyuSK2tYbUipX1Ewqr96IX8WSVSJdUDjgVSTgVTKXVyTgVypX1Fy2XMfmsnlFQwFZSVPJnGJdPnmNR9PJnLZGg9q7pVvHx2YrdTuobKEov9erwVhQpVK5viYyecXCfgW8Hk2nsurvCSno8+r0dEpdAZ+29gRlTLm9rublQLSxXai2Ey9NpXRqKqnNXQEVSlbjc1nt2BRu2J9T210qWT0zltB0Kq9MvqhL+yK6rL+7pXvh9Kyzyup3J63L5x63uen0bO+0/vL+Hj07PqupZFY9oYCsrAJej3LFkoyMppI5DfQEtanbr5GZxv50fK5c53xeaWI2p0yhqFyhpEv7ujRRebbe2l3+HGFH7+Jt9fPjc3pxMqlI0Kdsvtz/dQV8ShfKf08n85qt5H407FUyU1Iik9clm7oU8BuNzmQ1kcxqeyys4co/0jw9EtdIPKvukFfbYmFdsqlLL0+ndDae1lymqKFYUFfU9SmD0ZAKRavRRFo+r0eJdEGD0aBeuSWi46Ozmk7ltbnLr0SmoKDfo5DPq77ugHZuPn8eyxmrdaL9deGC+x5jjN7zmUcvOJAv/9YbtFKfWa5VXOvFrfD1uaC+Z5mfT8ClXK6oo2fjGku09tkz3EmkM3qmrj5fMRhR1OXnbRK5g41lme2U63FbMp3V8dG5Wu4MD3YrEl7f39Cy0doLztf9v/VIi+fPMvs5YNVrR/6syIQjY8yXJL1V0hZJY5IOSfJLkrX208YYI+mTkm6QlJL069baI5Vtf0PSxyq7+nfW2s8tdby1+OEhsALW5QfvwAphwhHgDn0P4B59D+AOfQ/gHhOO1hCu9eLW0oQjYAMjdwD3+MwAcIe+B3Cvaf74VuLI1tr3LbHeSvqQw7r7Jd3fibgAAAAAAAAAAAAAAAAALM/iv9UBAAAAAAAAAAAAAAAAAHWYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyY6292DG0nTFmXNJLFzuOJWyRNHGxg1hBG+l8V+u5Tlhrb1isQIu5s9rOj3iWttpiWovxLJo/beh3Vts1cWOtn8Naj19anefQjr5nNZ7XfGshRmltxEmM53W67+mktXAfnazl2KW1HX+7Ym/Xc087Y7qY1sM5SOvjPNbCObSj71kL5znfWoxZWptxr9eY1+tnbq0g5pWxXmNer7lDPItbbfFIqy+mlfq8erWd90rYaOfM+S5E37MyiGdxqy0e6QLyZ11OOFoLjDFHrLUHLnYcK2Ujne96P9fVdn7Es7TVFhPxrM4YLtRaP4e1Hr+0Ps6hmbVwXmshRmltxEmM68NavkZrOXZpbce/GmNfjTEt13o4B2l9nMd6OIdWrMXzXIsxS2szbmJePcdqF2JeGcS8eo7VCuJZ3GqLR1p9Ma1UPKvtvFfCRjtnznd9HKsVxLM44lnahcTET6oBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHF89nL3YAK2wjne96P9fVdn7Es7TVFhPxLLQaYrhQa/0c1nr80vo4h2bWwnmthRiltREnMa4Pa/kareXYpbUd/2qMfTXGtFzr4Ryk9XEe6+EcWrEWz3MtxiytzbiJefUcq12IeWUQ8+o5ViuIZ3GrLR5p9cW0UvGstvNeCRvtnDnf9XGsVhDP4ohnaa5jMtbadgYCAAAAAAAAAAAAAAAAYB3jG44AAAAAAAAAAAAAAAAAtIwJRwAAAAAAAAAAAAAAAABaxoQjAAAAAAAAAAAAAAAAAC1blxOObrjhBiuJFy9eja8lkTu8eDm+FkXu8OLl+FoS+cOLl+NrUeQOL16OryWRP7x4Ob4WRe7w4uX4WhL5w4tX09eSyB1evBxfiyJ3ePFyfC2J/OHFy/HV1LqccDQxMXGxQwDWJHIHcIfcAdwjfwB3yB3APfIHcIfcAdwjfwB3yB3AHXIHcI/8AZZnXU44AgAAAAAAAAAAAAAAANAZTDgCAAAAAAAAAAAAAAAA0DImHAEAAAAAAAAAAAAAAABoGROOAAAAAAAAAAAAAAAAALTM1+kDGGMukfRFSQOSrKTPWmvvm1fGSLpP0s9KSkn6NWvtE5V1/0zSHZWi91hrv3Ah8ZRKVi9OJjWWyGggGtLuvog8HtP2fdSX2dYb0kwyr5FERkOxsAI+6aXJtF65NaypZFFjiawGo0Ft6Q5oNJHVUCykYkk6N5tp+Htrd1DpQlGnp9MaioU1PBSVz+dRJlPQUyNxjSay2rkprHzJaiSe0WAsqO6AVz+ZSGnn5rByhfLyHZtCkpVOz2Q0GA1q/1BMoZBPuVxRR8/GNZrI6JJNYRVLVmfjGQ1FQ4oEPXpxsvG49edYH9vuvrBmM8XKuQQV8nv18nRKfZGg4um8+iIB9Yb9GpvNamtPSF6PNBJvvE7bYmF5PdLL02nt2BRWyVqdnck0HL9QKOn4SLyybVg9QZ9G590Tp3vldH/qj1W/z6FYSJNzOY0kMrqkN6yuoE8Tc1nHe7LcOuK2Lq6k+utdf67AWjWTzujEaFJjiawGokHtHYyoNxy62GGtCku1T83WS9KLk0lNJrMKeD1KZouKBH3KFYvq7w7W+rJI0Cdbskrli5rLFNQT9qs76FXJWuUKVhNzWQ3Fwurt8mkqmVOxJE0ls+qLBDWXzSsS9KlkpUQmr1jIr+lUTr1dAeUKRQ3FwprLFpRIF5TMFbSlO6DpVF5bu4PqCvo0PptV0OdRvlSQx3g1PpvVjk1hGUln4+W+x8rq5em0hmIhbYn4dXomo5ItKeTz6dxsVlt6gsrmC9ocCapQtDo3m1FfJKhUriCPxyjk82oqldNgNKRCqaTReFa9XT6FfF6NJDIajIUU8Hp0bjajaCigXL6k7rBP+UJJ8Uxel27u0my2oNFEeb9FaxX2e5UvlDQ6m9GO3i71hM73TdXruhb6kXaqr4PNrkOpZB37rMXq71gi0zA26QqU63BfJKidm7p0ajrVdExxaiqpc7NZxdN5RUN+DUSD2tF7vnxXwKdsoSivMYpncoqFAvJ4pFg40BDvZDKrWCigRCavroBPW3uCkqQXJpOKBHwaiAa1c3O5/LNjCaXzRRVKVrOZgqIhv+Lpcj54jBQOeFUoWL08k9ZQNKT922IKBLwqlaxenk5qLJ7VZDKnrT1BpfMF+bwepXIFbYuFlMyWNJLIaEt3QGG/V10Bo+lUsZwD3QHFwj5NzObkMUZer1F3wKdMoajpVF6bIwEFvB4lMnkls0VFKzk+ncop4PVqa09Qxkjjc1kFvR5NJnOVvC6pO+BXKl9suI47Nzcf0+2IhfXjsYSrcUl1TDOZzJbzsFDSYGxlcmitjf/qLXYPdmwKK+TzanyucXxfn2Onpsp9bjJb0GAsqGS2XKf6e4IaiAa1Pdal0zMpTcxlNZXMl+te0KvZTF59kaC6gz5NJMv1ZiSRUdjvVXfQJ5/H6Gw8o82RgDympJL1aCyR1bbekDxGGp/NKRLwKuT3ajKV05ZIQMVSSdOpgrpDXoV8XgV95W1iYb9kpNlMTt1Bv6aSeUVDPoX8Xs1mC8rkitrSHVC+VFKuYJXKFdUT9irs82k6lVNXwKfBWFCFYuX5raccQ30Ob4uG9fRoQmdm0tocCagn6NPerT0KBLzLvgeL1Z+l2rrl1r+1XHdXUjuvU6lk9cJEUi9Nna8/O3rLeTKWyCqZK2jX5ogu3bL4s2aznKyWr3/G6+8ONvRN1TLNzqlUsjp+Nq4z8bS2dAc11BvU1FxeI/GMoiGfYl1+5QoleYxRKlfU1p6QfF5pZCar2UxemyJ+FUolJdIFdYd8GoqGtauuPxxLZLWpy69EJq+gz6uQ36O5bF7dwfKyvkio4dn7TDypiUROmUJJRlKhZJUrlNTXHdRMKquuoE+5Qkn5YlFdfr9ms3n1hPwq2ZLCPp9S+WKtXTsxPqvpVF7ZfFGbIwElc3mF/X7NVvrmah7/eCyhRCansN+vibmsouHz51F/P+qvcX1buR7zKJHO6Jm656srBiOK8nzVETzLrgyuM7D6kadYb5LprI6PztXq9PBgtyLhYNuPsxFzZ6OdM+fbufPdaNcW61876nTHJxxJKkj6PWvtE8aYHkmPG2O+a619uq7MjZL2VF6vl/Tnkl5vjNks6ZCkAypPVnrcGHPYWjvtJpBSyerbx0d1+1eeVCZfUsjv0b3vvlo3DA8u64PWpfZRX2bv1m697/W7dNeDx2vlD908rJHpOSXSed15uHH5w8dG9LrL+nTfIye1qSug9//MLt33yMlamduu26Mv/sNLmk7ldM+t+/SzrxrQQ8fGdOfhY03L33VwWP/4kwntGYw67ufug/v0c/u26n8cP6c7v9F8P4duHtaX/vElnTg3p3tu3aeD+7fpb58913Adbrtuj/7p+Uldv29owflWt/3ItXt0z5FTeu9rd9aO77Tdbdft0beeGtGN+4caYrnn1n26aXhIDx0f0R0PHGt6Tve++2pdf+WAHv7x2IJ7Vb+8/v44Xe/62Fq5J82uzWJ1xG1dXEmFQkkP/OhMw/W+59Z9uvXV25l0hDVpJp3Rw8fGdefh83X67oP7dP2+/g0/OFyqfXJaH/AZffyhp/WeAzv1ie+dbyN/9+17FfZ79O+/9Ywy+ZJ29YX1L976Sh063Njeb+sN6d7vntBLk2mF/B79Pz+/X5l8qaHcv/nZKxXwefSf/+65psc5O5PWZDLf0Eb//vWXa2QmXTt+tW/8z3/3nHIFu2ibftfBYT3+4oRes3OL7nroiVqZP3rXfo3Esw2xfeTaPfpypX/r6/LrhYmk7v3uiab7vf0dexX0evQfvv1/luzz6vdb3282K7ua+5F2qq+DzfrlT/7SazSTyjftszwes6D+fvKXXqNcwS4Y01Sv90eu3aPvPTOq975uV8M+q2OKvzt5Ts+PN97v29+xV0OxkD76N0cX3Mv3HNipLx85pX/+5lfqq0+c0u9ct0fjszn92fdOLqjXt123R5GAV3/+/edr9/5V23o0mykqlc2raI0+/f2F+XDXwWEZWWXypdq2d9+yTwf3DekfT03q7Ey2YcxVje1Xf3q34umC/uBrT9XW/Yd37VexZBvO/dDNw/LK6lPf/4l+842XKuj31vLBKce7/F7d/+gL5RyJ+JXIFPUfH362VuYPbx5WoZTUPf/jxw3b7Rno1lv3bF0wprv7ln361P88WWszWh2XVMc0za53p3NorY3/6jWLvXoPlmpL73331YoEPXr67KzjM86hm4c1GJvT8+Mp/fF3nl1Qdw4dPq7ffOOlktTQnt923R4NxkL63N+/oMFYQG+/ckh3Hi6P2X/9jbsXtMPdQZ9G5/UJ1Tz7m8dP68b9Q/qrx07V6samroB++y2XKZkr1mKvf1+f85/73y8q4DP652955YJnmvPPXa+SjEd3fqMxn87E03rbnq2LTjpaTv1pVrZZW9dq/VvLdXcltfM6NdvXbdft0Y5NYU0ncw11uJVnzfk5ecPwoEolu+AZ79BNw/rqE6f0G296hW4YHpSkBfv6k1+8WiVbqvVxB3bF9J7X7tK/ravXH7vxioa+oVrXP/195/HXq4Z6ND6Xa4infhxU7kee1i+9bpfu+qen9TvX7tHB/dv05NkpjcZzmknmJGlBfv7+9Zcr4DX6r//7hYZ2f1dfWP/8za/UXQ+dj/Hjt+xTOldouL7luI/X+puPvvNy9fcE9cVHX9Av/NRO/eGDTzScx56Bbl17+YA8HtPwHN2s7VtPeZRIZ/TtJs9XN+zrZ9JRm/EsuzK4zsDqR55ivUmms/ofx84tqNM/t29rWycdbcTc2WjnzPl27nw32rXF+teuOt3xmQLW2pHqtxVZa2cl/VjS9nnFbpH0RVv2Q0m9xpghSe+U9F1r7VRlktF3Jd3gNpYXJ5O1D8okKZMv6favPKkXJ5Nt3Ud9mQ+8+RW1D5yr5e968LjeuGegNtmofvmvvenS2gdQ77pmR+3vapn7Hjmpd12zQ5l8SXc8cEzHRmdrlaBZ+UOHj+sXXrtz0f3cefiYjo/O1T74brafux48rg+8+RW14x49G19wHe575KR+7U2XNj3f6raf+N5J3XTV9objO2133yMn9YE3v2JBLHc8cExPjcRrH0Q2O6fbv/Kkjo8sjHH+8vr743S962Nr5Z40uzaL1RG3dXElHW9yve944JiOj8QvcmSAOydGk7W2U1KtLTwxujpzcCUt1T45rT96Oq6brtpe+0ec6ro//dsTmkjmastuump77R+fqmXue+SkfjKe1E1Xba8t+8l4ckG58bnyJB+n43QF/Ava6P/48LMNx6/2jTddtX3JNv3Q4eO69ZqdtX+IqpZ5fmJhbPX9W1fQX/tH7mb7vfe7JzSZyi1Y36zPc+o3m5Vdzf1IO9XXwWb38Ohp5z6rWf09err5mKZ6vT/xvZN6/xsuW7DP6pji6On4gvt973dP6OS5uab3svrfux46rve/4TLNpou644FjTev1fY+c1EQy13DvZ9NFnRibVVfAr7sebJ4Phw4fV1fA37Dtnd8oj59m08UFY65qTP/x4Wf1wkSyYd0LE8kF537Xg8fVFfTrpqu2ayKZa8gHpxyfTOXO50jAX5tsVC3zhw8e17nZ7ILtjp6ONx3T3fmNYw1tRqvjkuqYptl163QOrbXxX71msVfvwVJt6e1feVKz6fMTAJyeNbzGU5tsVL+fat2ZqJtkUb/+hYmkPvDmV+iXf/rS2vPVu67Z0bQdHp/LLugTqnlWbVfr68a7rtmhiWSuIfb699V93PvdE3rXNTvKud3kmaZ6LboC/tozV/255wtWR88uXn+XU39abetarX9rue6upHZep2b7uu+Rkzp5bm5BHW7lWXN+Tr44mWz6jFftm6plmu3r9/76yYY+7v1vuKw22ahaZn7fUK3ri7UZs5nignjqx0HVtuBP//aEbrpqe+3Zu1g0eq5yXZrlZ3UsOL/dr/bF9WX/7TeOLbi+1bir7//4O8/quXNzev8bLtMfNsn3o6fjtftRf42bnfd6yqNnHJ6vnuH5qu14ll0ZXGdg9SNPsd4cH51rWqePj8619TgbMXc22jlzvp073412bbH+tatOr+hXkxhjdkt6jaR/nLdqu6SX696frixzWt5s3x80xhwxxhwZHx9vevyxRKZ2waoy+ZLOzWZaPodW9lFfJp0tOJZvtnw6ma8tN0ZNyxhz/u+xRHbJ8hNz2bbsJ50r1P4edbgO9fE7bVvdf/3xHbdzuH6jiaXPaSTePMb65fX7dzrvmWXeE6dr41RHnMqslFZyx+lajsZXPl6gHcYc2pCxRLblfbSSO2vRUu2T0/qSdW4jS/b8+8XKmLr/ubtkF5arLnPaRzLXvM+oP351mTGttenN+tBmsdXHlXTou+r32ywmpz6vWb+ZdjjXi9GPuHEh+VNfB5vdQ6f7MxrPNK2/i93P6t9O13sknnHc3qne1f83nSvU6ksruVGtXyWrJbdL5goLth2t/JzVYvVsftxO55fMFWTMwvVLncdiOdLsmpWs8zikvs1odVxS3ZdTnJ3MoXaM/y5W3+MUe6ttabKFMfeUw/NAte4slmvpXKGl56iSlWM9q+Z5/bbzj7tYHK1cC6e6n8wVNJZYvB4sp/4sp61rpf6tpmeXC9Hp/GnndVpsvNWsDrfyrFmfk+dmM45tazUXzs027zfnt9fNxi9u8qSV/ml+PzqayGh8Nlu7Lou1E/OP28q4df61qy/jNG4rWdXuR/01vhj9Tru09nnbhT9foTVc65XRruu8Xj83ADqNvgcb0Up9Xr0Rc2ejnTPn27lx20a7tlj/2lWnV2zCkTGmW9JXJf1La22i3fu31n7WWnvAWnugv7+/aZmBaEghf+Mph/webe1p/SuhWtlHfZmuoK9p+YGe5vvZFPE3LG9Wxtq6/USDS5bf0h1sy37CAV/t7yGH67B5XvzNtrV24fGdtnO6foPRpc9pKNY8xqFY2PH+NCvfu8x7MrjMOuJUZqW0kjv116wq5PdoMMZXBGJtmt/mSefbwla1kjtr0VLtk9P66i9BLLauflmzMrbuH3i8ZmG5+mXN9hEJNO8zmh2/vt1ebF1/kz60WWz1/Vsk1DyO+v02i8mpz2vWb3Y5nOvF6EfcuJD8mV8HW70/g7FQ0/q72P2s/u10vYdiIcftnepd/X/DAV9DfVkqN6r1y2u05HaRgG/BtoPR4KL1s1ncTucXCfhkrfN6p/NYLEeaXTOPkeOYrr7NaHVcUj+mWekcasf472L1PU6xt9qWzr/ny3mOqNadxXItHPAt2N6prFM9q8/z+m3nH7eVNsNpnVPdjwR8GoguXg+WU3+W09a1Uv9W07PLheh0/rTzOi023mpWh1t51qyvo1t7Qo7PeOFKLmztad5vzm+vm41f3ORJK/3T/H50MBpSf09QXqPaa7nj1MXObX7c9WWcxm0eo9r9mH+N12oetfZ524U/X6E1XOuV0a7rvF4/NwA6jb4HG9FKfV69EXNno50z59u5cdtGu7ZY/9pVp1dkwpExxq/yZKP/z1r7tSZFzki6pO79jsoyp+Wu7O6L6N53X93wQfK9775au/sibd1HfZn/8oOf6NDNww3lD908rL8/Oaa7Dy5c/vm/f0G3XbdHIb9HX338dO3vapnbrtujrz1xWiG/R/fcuk/7Bnt098F9juXvOjisv3ns1KL7ufvgPg0PduvuW5z3c+jmYf3FD35SO+7+bbEF1+G26/boc3//QtPzrW77kWv36KGjZxqO77Tdbdft0X/5wU8WxHLPrfu0fyime27d53hO9777ag0PLYyxvDza9P44Xe/P18XWyj25qsm1WayOuK2LK2l4KLrget9z6z4ND8UucmSAO3sHI7W2U1KtLdw7uDpzcCUt1T45rb9qR0wP/uiMPnJtYxv5u2/fqy2RQG3Zgz86o7sOLmzvX9Ef0UNHz9SWXdYfWVBuS3dQdx0cdjxOKpdf0Eb//vWXNxy/2jc+dPTMkm36XQeH9fUnTunQTY1xXLplYWz1/Vsqk9ft79jruN/b37FXfV2BBeub9XlO/Wazsqu5H2mn+jrY7B7u37FwjFDts5rV3/07mo9pqtf7I9fu0RcefX7BPqtjjf07Ygvu9+3v2Ks9W7ub3svqfw/dNKwvPvq8ekJe3XPrvqb1+rbr9mhLJNBw73tCXu0Z6FEqm9ehm5vnw10Hh5XK5Ru2vfuW8vipJ+RdMOaqxvT711+uS7dEGtbt3hJZcO6Hbh5WKpvXQ0fPqC8SaMgHpxzv6wqcz5FsXr9//eUNZf7w5mFt7Qku2O6qHbGmY7q7b9nX0Ga0Oi6pjmmaXbdO59BaG//VaxZ79R4s1Zbe++6r1RPyLvqMc+jmYRVtSR995+WOdacvEtDHbrxiwfpLt0T0Fz/4if77D1+oPV999fHTTdvh/u7ggj6hmmfVdrW+bnz18dPqiwQaYq9/X93H7e/Yq689cVoP/uhM02ea6rVIZfO1Z676c/f7jK7atnj9XU79abWta7X+reW6u5LaeZ2a7eu26/Zoz9buBXW4lWfN+Tm5uy/S9Bmv2jdVyzTb15/84tUNfdwXHn1eH59Xr+f3DdW6vlib0RP0LoinfhxUbQt+9+179dDRM7Vnb6/X6hVbu9UXCTTNz+pYcH67/+CPziwY4338ln0Lrm817ur7j77zcr1ya7e+8Ojz+sMm+X7VjljtftRf42bnvZ7y6AqH56sreL5qO55lVwbXGVj9yFOsN8OD3U3r9PBgd1uPsxFzZ6OdM+fbufPdaNcW61+76rSx9f+rVgcYY4ykL0iastb+S4cyPyfpw5J+VtLrJX3CWvs6Y8xmSY9LuqZS9AlJP2WtnVrsmAcOHLBHjhxpuq5UsnpxMqlzsxlt7Qlpd19Envn/C9sSWtlHfZmhWEgzybxGExkNREMK+o1OTab1iv6wplJFjSWyGowGtaU7oLHZrAajIRVL0vhcpuHvLZGgMoWizkynNRgLaXgoJp/Po0ymoKdG4hpLZLVjU1iFktVoPKOBaFDdQa+en0hpx6aw8sXy8m29IRlJZ2bKZfYPxRQK+ZTLFXX0bFxjiYx29IZVtFYj8XLM3UGPXppsPG79OdbHtrMvrLlM+bwGokGFA16dnk5rcySgeDqvzZGANoX9OjeXVX93SF6PNJpovE6DsZB8HqPT02lt7w2rJKuRmUzD8QuFko6PxDUaL2/bE/JrbN49cbpXTven/lj1+xyMhjQ5l6uViQR9mkxmHe/JcuuI27q4TEvufLHcqb/e9ecKrFUz6YxOjCZrbdXewYh6w47/h/Gi+bNY7qxFS7VPzdZL0ouTSU0ls/J7PUrliuoKeJUvlrSlO6hiqfzzEpGAV9ZKqXxRc5mComG/IkGvrLXKFqwm5rIaiobUG/FrOplToSRNJXPaHAkomc0rEvSpZKVEJq9YyK/pVE694YByxaKGYmHNZQtKZApKZQvqiwQ0nc6rvzuoSNCniblybIVSQR7j1fhsVjt6wzKm/JMXg9GQZKTT02kNRkPa0u3X6ZmMrLUK+Mrlt3QHlS0WtLkrqELR6txsVn2RgFK5gjweo5DPq6lUToPRkAql8k9YxUI+hf1ejSTKxwj4PBqfzagnFFCuUFJ30Kt80SqRyWvX5i7NZQsaTWS1ORKQlVXQ51GhYDU6W+6DonV9U3WMsEL9iBsX1Pc4qa+Dza5DqWQd+6zF6u+52UxtbDISz9Tq8OZIUDs3denUdKrpmOLUVFLjs1nNpPOKhvwaiAa1o7dcfixR3k+uWJKRUSKTUzQUkM8jRcOBhninkllFQwElMnl1BXza2hOsxdYV8GkgGtTOzeXyz44llM4XVShZzWYKiob8iqfz6g375fFIYb9XhaLV6Zm0BqIhXbUtpkDAq1LJ6uXppMbiWU2lctrSHVQmX5DP61E6V9RgLKhUtvwzNZsjAXUFvOoKGE2nijo3m9WW7oCiIZ8m53IyxsjnNYoEfMoWippO5bW5K6CAz6NEJq9ktqho2K/ugFcz6Zz8Xq+29gRljDQxl1XA69FkMlf+tiSVFAn4lcoXFa+7jjs3Nx/T7YiF9eOxhKtxSXVMM5XMqicUUL5Y0kB0ZXJomeO/VdX3LHYPtm8KK+TzaiLZOL6vz7FTU+U+N5UraGs0qHS2qLHZrPq7gxqIBbU91qXTMylNzGU1lcwrHPCqy+/VbLb8/NAT9GsyWa43o4msgn6PegI++bxGI/GMNkUC8piSStajc7PlvsTjkcZnc+oKeBX2ezWZymlLJKBiyWo6lVckWD5GwFfeJhryS0aazeQVCfg0k8qrJ+xTyOfVXLagdK6oLd0B5Usl5QpWqVxRPSGvwn6fZlI5hQM+DcaCKhTLbVJ/d0ge05jD26JhPT2a0JmZ8vNRd9Cny7f2KBDwLvseLFZ/lmrrlttvXIRnlwvRkb6nFe28TqWS1QsTSZ2aOl9/dvSW86SaSzs3R3TplsWfNZvlZLV8tT0ciWe0pTvY0DdVyzQ7p1LJ6vjZuM7E09oSCWpoU1BTc3mNxrPqDnnVG/YrXyzJGKNUrqitPSH5vNJIPKvZdF69Eb+KJatEuqBI0KttsbB21fWH5xJZ9Xb5lcjmFfR6FfJ7NJctqDvgUyKbV18k2PDsfSae1EQip2yhJBmpULTKFUrqiwQ0k86pK+hTrlBSvlhSl9+n2WxePSG/rC0p5PMplS9qIFpu106Mz2o6lVc2X9SmroDS+bxCfr/mMnmF6/L4x2MJzWZyCvn9mpzLqTt0/jzq70f9c3R9W7mK88h135NIZ/RM3fPVFYMRRZ2fr3ABlvksC5fa+ZmBtP4+NwDa5IJyh/YQ600yndXx0blanR4e7FYk7PgtE67HbRsxdzbaOXO+nRu3bbRri/WvHfmzEhOO3iTpf0l6SlL1R+A+JmmnJFlrP12ZlPRJSTdISkn6dWvtkcr2v1EpL0n/zlr7uaWOyQMc0BQffgDurap/9AXWEPoewD36HsAd+h7APfoewB36HsAdcgdwj3Eb4A59D+Be0/zxdfqo1tq/dzp4XRkr6UMO6+6XdH8HQgMAAAAAAAAAAAAAAACwTPweEgAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHAAAAAAAAAAAAAAAAAFrGhCMAAAAAAAAAAAAAAAAALWPCEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0zNfpAxhj7pd0k6Rz1tp9TdZ/VNIv18VzpaR+a+2UMeZFSbOSipIK1toDnY4XAAAAAAAAAAAAAAAAgLOV+Iajz0u6wWmltfaPrbVXW2uvlvQHkr5vrZ2qK/K2ynomGwEAAAAAAAAAAAAAAAAXWccnHFlrfyBpasmCZe+T9KUOhgMAAAAAAAAAAAAAAADgAqzENxy1xBjTpfI3IX21brGV9LAx5nFjzAeX2P6Dxpgjxpgj4+PjnQwVWFfIHcAdcgdwj/wB3CF3APfIH8Adcgdwj/wB3CF3AHfIHcA98gdwb9VMOJJ0s6T/Pe/n1N5krb1G0o2SPmSMebPTxtbaz1prD1hrD/T393c6VmDdIHcAd8gdwD3yB3CH3AHcI38Ad8gdwD3yB3CH3AHcIXcA98gfwL3VNOHovZr3c2rW2jOV/56T9HVJr7sIcQEAAAAAAAAAAAAAAACoWBUTjowxMUlvkfSNumURY0xP9W9J10s6dnEiBAAAAAAAAAAAAAAAACBJvk4fwBjzJUlvlbTFGHNa0iFJfkmy1n66Uuz/lvSwtTZZt+mApK8bY6px/qW19tudjhcAAAAAAAAAAAAAAACAs45POLLWvq+FMp+X9Pl5y56X9OrORAUAAAAAAAAAAAAAAADAjVXxk2oAAAAAAAAAAAAAAAAA1gYmHAEAAAAAAAAAAAAAAABoGROOAAAAAAAAAAAAAAAAALSMCUcAAAAAAAAAAAAAAAAAWsaEIwAAAAAAAAAAAAAAAAAtY8IRAAAAAAAAAAAAAAAAgJYx4QgAAAAAAAAAAAAAAABAy5hwBAAAAAAAAAAAAAAAAKBlTDgCAAAAAAAAAAAAAAAA0DImHAEAAAAAAAAAAAAAAABoGROOAAAAAAAAAAAAAAAAALSMCUcAAAAAAAAAAAAAAAAAWsaEIwAAAAAAAAAAAAAAAAAt6/iEI2PM/caYc8aYYw7r32qMiRtjnqy87qxbd4Mx5lljzHPGmH/d6VgBAAAAAAAAAAAAAAAALG4lvuHo85JuWKLM/7LWXl153S1JxhivpE9JulHSqyS9zxjzqo5GCgAAAAAAAAAAAAAAAGBRHZ9wZK39gaQpF5u+TtJz1trnrbU5SX8l6Za2BgcAAAAAAAAAAAAAAABgWVbiG45a8TPGmB8ZY75ljBmuLNsu6eW6Mqcry5oyxnzQGHPEGHNkfHy8k7EC6wq5A7hD7gDukT+AO+QO4B75A7hD7gDukT+AO+QO4A65A7hH/gDurYYJR09I2mWtfbWkP5P0gJudWGs/a609YK090N/f3874gHWN3AHcIXcA98gfwB1yB3CP/AHcIXcA98gfwB1yB3CH3AHcI38A9y76hCNrbcJaO1f5+5uS/MaYLZLOSLqkruiOyjIAAAAAAAAAAAAAAAAAF8lFn3BkjBk0xpjK369TOaZJSY9J2mOMudQYE5D0XkmHL16kAAAAAAAAAAAAAAAAAHydPoAx5kuS3ippizHmtKRDkvySZK39tKRfkPTbxpiCpLSk91prraSCMebDkr4jySvpfmvt8U7HCwAAAAAAAAAAAAAAAMBZxyccWWvft8T6T0r6pMO6b0r6ZifiAgAAAAAAAAAAAAAAALB8F/0n1QAAAAAAAAAAAAAAAACsHUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHAAAAAAAAAABcRNsv2SljzAW/tl+y82KfCgAAAIANwnexAwAAAAAAAAAAYCM7e/plveczj17wfr78W29oQzQAAAAAsDS+4QgAAAAAAAAAAAAAAABAy5hwBAAAAAAAAAAAAAAAAKBlTDgCAAAAAAAAAAAAAAAA0DImHAEAAAAAAAAAAAAAAABoGROOAAAAAAAAAAAAAAAAALSMCUcAAAAAAAAAAAAAAAAAWsaEIwAAAAAAAAAAAAAAAAAtY8IRAAAAAAAAAAAAAAAAgJZ1fMKRMeZ+Y8w5Y8wxh/W/bIw5aox5yhjzqDHm1XXrXqwsf9IYc6TTsQIAAAAAAAAAAAAAAABY3Ep8w9HnJd2wyPoXJL3FWrtf0sclfXbe+rdZa6+21h7oUHwAAAAAAAAAAAAAAAAAWuTr9AGstT8wxuxeZP2jdW9/KGlHp2MCAAAAAAAAAAAAAAAA4M5KfMPRcvympG/VvbeSHjbGPG6M+eBiGxpjPmiMOWKMOTI+Pt7RIIH1hNwB3CF3APfIH8Adcgdwj/wB3CF3APfIH8Adcgdwh9wB3CN/APdWzYQjY8zbVJ5w9K/qFr/JWnuNpBslfcgY82an7a21n7XWHrDWHujv7+9wtMD6Qe4A7pA7gHvkD+AOuQO4R/4A7pA7gHvkD+AOuQO4Q+4A7pE/gHvLmnBkjNnfiSCMMVdJ+gtJt1hrJ6vLrbVnKv89J+nrkl7XieMDAAAAAAAAAAAAAAAAaM1yv+HoPxtj/skY8y+MMbF2BGCM2Snpa5J+1Vp7om55xBjTU/1b0vWSjrXjmAAAAAAAAAAAAAAAAADc8S2nsLX2/zLG7JH0G5IeN8b8k6TPWWu/67SNMeZLkt4qaYsx5rSkQ5L8lf19WtKdkvpUnswkSQVr7QFJA5K+Xlnmk/SX1tpvL+/0AAAAAAAAAAAAAAAAALTTsiYcSZK19qQx5g5JRyR9QtJrTHlW0MestV9rUv59S+zvA5I+0GT585Jevdz4AAAAAAAAAAAAAAAAAHTOsn5SzRhzlTHmTyX9WNK1km621l5Z+ftPOxAfAAAAAAAAAAAAAAAAgFVkud9w9GeS/qvK32aUri601p6tfOsRAAAAAAAAAAAAAAAAgHVsWROOrLVvWWTdf7vwcAAAAAAAAAAAAAAAAACsZsuacGSMeUqSnbc4LumIpHustZPtCgwAAAAAAAAAAAAAAADA6rPcn1T7lqSipL+svH+vpC5Jo5I+L+nmtkUGAAAAAAAAAAAAAAAAYNVZ7oSjt1trr6l7/5Qx5glr7TXGmF9pZ2AAAAAAAAAAAAAAAAAAVh/PMst7jTGvq74xxrxWkrfyttC2qAAAAAAAAAAAAAAAAACsSsv9hqMPSLrfGNMtyUhKSPpNY0xE0n9od3AAAAAAAAAAAAAAAAAAVpdlTTiy1j4mab8xJlZ5H69b/ZV2BgYAAAAAAAAAAAAAAABg9VnWT6oZY2LGmHslPSLpEWPMn1QnHwEAAAAAAAAAAAAAAABY/5Y14UjS/ZJmJb278kpI+ly7gwIAAAAAAAAAAAAAAACwOi3rJ9UkvcJa+/N17+8yxjzZxngAAAAAAAAAAAAAAAAArGLL/YajtDHmTdU3xpg3Skq3NyQAAAAAAAAAAAAAAAAAq9Vyv+HotyV9wRgTk2QkTUn6tXYHBQAAAAAAAAAAAAAAAGB1WtaEI2vtk5JebYyJVt4nWtnOGHO/pJsknbPW7muy3ki6T9LPSkpJ+jVr7ROVdf9M0h2VovdYa7+wnJhXUqlk9eJkUmOJjAaiIe3ui8jjMR3fT335oVhIxZJ0btZ5W6f9t3LcVrZdKoZ2XafV4GLdcwAXbiad0YnRpMYSWQ1Eg9o7GFFvOHSxw8IS5reXOzd16dR0atntZ7N+ayqVVcDrUSpXXHJfhUJJx0fiGktktKU7KGuleCavXZsjunRLRJIWxPnSVEovTSUVCfg0EA1q52ba+uXqZH/Z7n03258k12O8xcZmL0wkXdetpeLc2hOSzyuNxrNK5gq1Ot7q2BG4ENW2diSeUX93UB6PFAsHXNW1+vq6tSckr0caiZ+vu6WSrR1rKBbW8FBUPp/ngp6dlhPThfRpF4I8XohrUtbO6+BmX26P79QvSuW+bTSeUdDnUTyT05bukHqCPo2ugnu9lsY4TnK5oo6ejWs0kdFQNKT922IKBLxtPw6k2XRGP657lr1yMKIenmUBbEDxdEbP1rWHlw9GFKM9xBq2UuO2dDqvp0YTtdzZPxhVOOxv+3FWk414zhtJ/edH9Z/pdALPPVhv2vF82dKEI2PM7Q7LJUnW2nuX2MXnJX1S0hcd1t8oaU/l9XpJfy7p9caYzZIOSTogyUp63Bhz2Fo73UrcK6lUsvr28VHd/pUnlcmXFPJ7dO+7r9YNw4PLGhAsdz/15Td1BfT+n9ml+x456bit0/6vv3JAD/94bNHjtrLtUjG06zqtBhfrngO4cDPpjB4+Nq47Dx+r5d3dB/fp+n39TDpaxea3l7v6wvqda/fojgeOLav9bNZ3/tVjp/SeAzv1ie8596FVhUJJD/zoTMNxb7tuj774Dy9pOpXTJ3/pNcoVbEO7fs+t+/Rn3zuplybTtfJ7Brp17eUDtPUt6mR/2e59O+0v4DP68F/+n2WP8ZYzNltO3Wq2fbP6e+jmYX36+8/V6m+rY0fgQjRraw/dNKyvPnFKv/GmVyyrrjnlSrXd/pNfvFolW9JH/+ZoQ7t9cP82/e2z51w9Oy03Jrd92oXgOWQhrklZO6+Dm325Pb5Trr9qW4+S2VLD8o9cu0dfPvK03vvanbW24GLd67U0xnGSyxX1wNGzuvMbdc9Xt+zTrVdt48P3NptNZ/StJs+yN+7rZ9IRgA0lns7oO03aw3fu62fSEdaklRq3pdN5PXhsdEHu3LxvcN1OwNmI57yRNPv86J5b9+nWV29v+6Qjnnuw3rTr+bLVTOtZ4rUoa+0PVP75NSe3SPqiLfuhpF5jzJCkd0r6rrV2qjLJ6LuSbmgx5hX14mSyNhCQpEy+/GHWi5PJju6nvvy7rtlRm+jjtK3T/o+PxJc8bivbLhVDu67TanCx7jmAC3diNFnrQKVy3t15+JhOjJJ3q9n89vKmq7bXHiSk1tvPZn3nTVdtr002Wmpfx0fiC4573yMn9a5rdiiTL+no6YV96h0PHNNNV21vKH/0dJy2fhk62V+2e99O+zt6Ou5qjOdUvlmZ5dStZts3q793PXi8of62OnYELkSztvauh47r/W+4bNl1zSlXqu327/31kzp5bm5Bu330bPN63o76364+7ULwHLIQ16SsndfBzb7cHt8p12fTxQXLP/G98vivvi24WPd6LY1xnBw9G6996F49zp3fKLejaK8fOzzL/phnWQAbzLMO7eGztIdYo1Zq3PbUaKJp7jw12tIP2qxJG/GcN5Jmnx/d8cAxHR9p/7MIzz1Yb9r1fNnShCNr7V2LvZYf/gLbJb1c9/50ZZnT8gWMMR80xhwxxhwZHx9vQ0jLM5bI1G5GVSZf0rnZTEf3U1/eGC25rdP+R+JLH7eVbZeKoV3XaTW4WPe83S527gAXw1gi2zTvxhLZlvdB7qy8+e1lK/3eUvup7mM5+3LqMytf/KiSbb4vYxrfl6zWZP/XDm7yp5P9Zbv37bS/ktWCZa2M8ZzKL3acVmJvtn2r9beVsSPabyP1PU51LJ0rLLuuOeVKtV475efoBTw7LTcmt33ahbjYzyErrZX82WjXxEk7r4Obfbk9vtN2yWzBsQ2Y3xZcjHu92sc4reSOU3s5lthYubMS2vEsi5WzkcZuQDu1Nm6jPcT6slLjto2YOxvxnDcSp89oRuPLexbhuQcbUbvax2V9l5gxZocx5uvGmHOV11eNMTuWdcQOsdZ+1lp7wFp7oL+/f8WPPxANKeRvvJwhv0dbe5b39Z3L3c/88ktt67T/odjSx21128X2067rtBpcrHvebhc7d4CLYSAabJp3A9Fgy/sgd1aeU3s5//1S7adT39nqvoZi4aZlbeUfq72m+b6sbXzvMVqT/V87uMmfTvaX7d630/7mfwP2csZ4zcovdpxWYm+2fav11ykPNmqdXikbqe9xqmPhgG/Zdc0pV6r12ik/hxyffy68/rerT7sQF/s5ZKW1kj8b7Zo4aed1cLMvt8d32i4S8jm2AfPbgotxr1f7GKeV3HFqLweiGyt3VkI7nmWxcjbS2A1op9bGbbSHWF9Waty2EXNnI57zRuL0Gc1gbHnPIjz3YCNqV/u43B8v/Jykw5K2VV4PVpZdqDOSLql7v6OyzGn5qrO7L6J73311wz9a3vvuq7W7L9LR/dSX/+rjp3XbdXsW3dZp/8NDsSWP28q2S8XQruu0Glysew7gwu0djOjug/sa8u7ug/u0d5C8W83mt5cP/uiM7rl137Lbz2Z954M/OqOPXLt4H1o1PBRdcNzbrtujrz1xWiG/R/t3LOxT77l1nx46eqah/FU7YrT1y9DJ/rLd+3ba31U7Yq7GeE7lm5VZTt1qtn2z+nvo5uGG+lse/0UZv6CjmrW1h24a1hcffX7Zdc0pV6rt9p/84tXas7V7Qbu9f1vzZ6R21P929WkXgueQhbgmZe28Dm725fb4TrneE/IuWP6Ra/fooaNnGtqCi3Wv19IYx8n+bTHdfcu856tb9umqbbG2HgfSlQ7PslfyLAtgg7ncoT28nPYQa9SKjdsGo01zZ/9gtK3HWU024jlvJM0+P7rn1n0aHmr/swjPPVhv2vV8aay1S5eqFjbmSWvt1Ustc9h2t6SHrLX7mqz7OUkflvSzkl4v6RPW2tcZYzZLelzSNZWiT0j6KWvt1GLHOnDggD1y5MjSJ9RmpZLVi5NJnZvNaGtPSLv7IvLM/19lO7Cf+vKD0ZCKJWl8znlbp/23ctxWtl0qhnZdp9XgYt1zl5bc4cXKHeBimElndGI0qbFEVgPRoPYORtQbdpyJvmj+kDsrZ357uXNTl05Np5bdfjbrt6ZTWfm9HqVyRQ1EF99XoVDS8ZG4xhJZ9XUHJCslMnnt3BzRpVvKg7H5cb40ldKpqaS6Aj4NRIPauXnt9n/L0Na+p5P9Zbv33Wx/klyP8RYbm70wkXRdt5aKs787JJ9XGo1nlcoVanW81bEjLsiG73uqbe1IPKMt3UH5PFI0HHBV1+rra393SF5P+auwq3W3VLI6PhLXaDyjwVhIw0Mx+XyeC3p2Wk5MF9KnXYh1mscX1Pes02uybO28Dm725fb4Tv2iVO7bxhIZ+b0ezWZy6osE1RPya2wV3OtVNMZx3ffkckUdPRvXWCKjgWhIV22LKRDwXmD0aGY2ndGP655lrxyMqMf5WRYroy3PPcYYveczj15wMF/+rTdoOZ/5AxfRBeVOPJ3Rs3Xt4eWDEcVoD7GGrdS4LZ3O66nRRC139g9GFQ77LzD61W0jnvNGUv38aP5nOg4uqO/huQfrzTKfL5vmz3InHD2i8jcafamy6H2Sft1ae90S231J0lslbZE0JumQJL8kWWs/bYwxkj4p6QZJqco+j1S2/Q1JH6vs6t9Za5f8RqWN8OE74AITjgD3Nvw/+gIu0fcA7tH3AO7Q9wDu0fcA7jDhCHCHcRvgHuM2wB36HsC9pvnjW+ZOfkPSn0n6U0lW0qOSfm2pjay171tivZX0IYd190u6f5lxAgAAAAAAAAAAAAAAAOiA5U442mGtPVi/wBjzRkkvty8kAAAAAAAAAAAAAAAAAKuV4w8YOvizFpcBAAAAAAAAAAAAAAAAWIda+oYjY8zPSHqDpH5jzO11q6KSvJ0IDAAAAAAAAAAAAAAAAMDq0+pPqgUkdVfK99QtT0j6hXYHBQAAAAAAAAAAAAAAAGB1amnCkbX2+5K+b4z5vLX2JUkyxngkdVtrE50MEAAAAAAAAAAAAAAAAMDq4Vlm+f9gjIkaYyKSjkl62hjz0Q7EBQAAAAAAAAAAAAAAAGAVWu6Eo1dVvtHoVknfknSppF9td1AAAAAAAAAAAAAAAAAAVqflTjjyG2P8Kk84OmytzUuybY8KAAAAAAAAAAAAAAAAwKq03AlHn5H0oqSIpB8YY3ZJSrQ7KAAAAAAAAAAAAAAAAACrk285ha21n5D0ibpFLxlj3tbekAAAAAAAAAAAAAAAAACsVi1NODLG/Iq19r8bY253KHJvG2MCAAAAAAAAAAAAAAAAsEq1+g1Hkcp/ezoVCAAAAAAAAAAAAAAAAIDVr6UJR9baz1T+e1dnwwEAAAAAAAAAAAAAAACwmrX6k2qfWGy9tfYj7QkHAAAAAAAAAAAAAAAAwGrW6k+qPV73912SDi3nIMaYGyTdJ8kr6S+stX80b/2fSnpb5W2XpK3W2t7KuqKkpyrrTllrDy7n2AAAAAAAAAAAAAAAAADap9WfVPtC9W9jzL+sf78UY4xX0qckvUPSaUmPGWMOW2ufrtv/79aV/x1Jr6nbRdpae3WrxwMAAAAAAAAAAAAAAADQOR4X29hlln+dpOestc9ba3OS/krSLYuUf5+kL7mICwAAAAAAAAAAAAAAAECHuZlwtFzbJb1c9/50ZdkCxphdki6V9L26xSFjzBFjzA+NMbc6HcQY88FKuSPj4+NtCBvYGMgdwB1yB3CP/AHcIXcA98gfwB1yB3CP/AHcIXcAd8gdwD3yB3CvpQlHxphZY0zCGJOQdFX17+ryNsbzXkl/Y60t1i3bZa09IOmXJP0nY8wrmm1orf2stfaAtfZAf39/G0MC1jdyB3CH3AHcI38Ad8gdwD3yB3CH3AHcI38Ad8gdwB1yB3CP/AHc87VSyFrbcwHHOCPpkrr3OyrLmnmvpA/NO/aZyn+fN8b8naTXSPrJBcQDAAAAAAAAAAAAAAAAwKWV+Em1xyTtMcZcaowJqDyp6PD8QsaYKyRtkvQPdcs2GWOClb+3SHqjpKdXIGYAAAAAAAAAAAAAAAAATbT0DUcXwlpbMMZ8WNJ3JHkl3W+tPW6MuVvSEWttdfLReyX9lbXW1m1+paTPGGNKKk+O+iNrLROOAAAAAAAAAAAAAAAAgIuk4xOOJMla+01J35y37M557/+wyXaPStrf0eAAAAAAAAAAAAAAAAAAtGwlflINAAAAAAAAAAAAAAAAwDrBhCMAAAAAAAAAAAAAAAAALWPCEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHAAAAAAAAAAAAAAAAAFrGhCMAAAAAAAAAAAAAAAAALWPCEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZSsy4cgYc4Mx5lljzHPGmH/dZP2vGWPGjTFPVl4fqFv3z4wxJyuvf7YS8QIAAAAAAAAAAAAAAABoztfpAxhjvJI+Jekdkk5LeswYc9ha+/S8ol+21n543rabJR2SdECSlfR4ZdvpTscNAAAAAAAAAAAAAAAAYKGV+Iaj10l6zlr7vLU2J+mvJN3S4rbvlPRda+1UZZLRdyXd0KE4AQAAAAAAAAAAAAAAACxhJSYcbZf0ct3705Vl8/28MeaoMeZvjDGXLHNbGWM+aIw5Yow5Mj4+3o64gQ2B3AHcIXcA98gfwB1yB3CP/AHcIXcA98gfwB1yB3CH3AHcI38A91ZiwlErHpS021p7lcrfYvSF5e7AWvtZa+0Ba+2B/v7+tgcIrFfkDuAOuQO4R/4A7pA7gHvkD+AOuQO4R/4A7pA7gDvkDuAe+QO4txITjs5IuqTu/Y7Kshpr7aS1Nlt5+xeSfqrVbQEAAAAAAAAAAAAAAACsnJWYcPSYpD3GmEuNMQFJ75V0uL6AMWao7u1BST+u/P0dSdcbYzYZYzZJur6yDAAAAAAAAAAAAAAAAMBF4Ov0Aay1BWPMh1WeKOSVdL+19rgx5m5JR6y1hyV9xBhzUFJB0pSkX6tsO2WM+bjKk5Yk6W5r7VSnYwYAAAAAAAAAAAAAAADQXMcnHEmStfabkr45b9mddX//gaQ/cNj2fkn3dzRAAAAAAAAAAACADWz7JTt19vTLF7yfbTsu0ZmXT7UhIgAAAKxmKzLhCAAAAAAAAAAAAKvX2dMv6z2fefSC9/Pl33pDG6IBAADAaue52AEAAAAAAAAAAAAAAAAAWDuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0jAlHAAAAAAAAAAAAAAAAAFrGhCMAAAAAAAAAAAAAAAAALWPCEQAAAAAAAAAAAAAAAICWMeEIAAAAAAAAAAAAAAAAQMuYcAQAAAAAAAAAAAAAAACgZUw4AgAAAAAAAAAAAAAAANAyJhwBAAAAAAAAAAAAAAAAaBkTjgAAAAAAAAAAAAAAAAC0bEUmHBljbjDGPGuMec4Y86+brL/dGPO0MeaoMeYRY8yuunVFY8yTldfhlYgXAAAAAAAAAAAAAAAAQHO+Th/AGOOV9ClJ75B0WtJjxpjD1tqn64r9H0kHrLUpY8xvS/p/Jb2nsi5trb2603ECAAAAAAAAAAAAAAAAWNpKfMPR6yQ9Z6193lqbk/RXkm6pL2Ct/Z/W2lTl7Q8l7ViBuAAAAAAAAAAAAAAAAAAs00pMONou6eW696cry5z8pqRv1b0PGWOOGGN+aIy51WkjY8wHK+WOjI+PX1DAwEZC7gDukDuAe+QP4A65A7hH/gDukDuAe+QP4A65A7hD7gDukT+Aeysx4ahlxphfkXRA0h/XLd5lrT0g6Zck/SdjzCuabWut/ay19oC19kB/f/8KRAusD+QO4A65A7hH/gDukDuAe+QP4A65A7hH/gDukDuAO+QO4B75A7i3EhOOzki6pO79jsqyBsaYt0v6N5IOWmuz1eXW2jOV/z4v6e8kvaaTwQIAAAAAAAAAAAAAAABwthITjh6TtMcYc6kxJiDpvZIO1xcwxrxG0mdUnmx0rm75JmNMsPL3FklvlPT0CsQMAAAAAAAAAAAAAAAAoAlfpw9grS0YYz4s6TuSvJLut9YeN8bcLemItfawyj+h1i3pr40xknTKWntQ0pWSPmOMKak8OeqPrLVMOAIAAAAAAAAAAAAAAAAuko5POJIka+03JX1z3rI76/5+u8N2j0ra39noAAAAAAAAAAAAAAAAALRqJX5SDQAAAAAAAAAAAAAAAMA6wYQjAAAAAAAAAAAAAAAAAC1jwhEAAAAAAAAAAAAAAACAljHhCAAAAAAAAAAAAAAAAEDLmHAEAAAAAAAAAAAAAAAAoGVMOAIAAAAAAAAAAAAAAADQMiYcAQAAAAAAAAAAAAAAAGgZE44AAAAAAAAAAAAAAAAAtIwJRwAAAAAAAAAAAAAAAABaxoQjAAAAAAAAAAAAAAAAAC1jwhEAAAAAAAAAAAAAAACAljHhCAAAAAAAAAAAAAAAAEDLmHAEAAAAAAAAAAAAAAAAoGVMOAIAAAAAAAAAAAAAAADQMt9KHMQYc4Ok+yR5Jf2FtfaP5q0PSvqipJ+SNCnpPdbaFyvr/kDSb0oqSvqItfY7FxJLqWT14mRSY4mMBqIh7e6LyOMxyy5TlcsVdfRsXKOJjLbFQuoN+zU2m9XW7qDShaJOT6c1FAurt8unszMZbd8U0rlETqOJjIaiIfVHAzozndGOzSGNzmQ1mshqR29I3UG/JpJZDfYENZXOaySe0Y7ekEpWOjOT0aVbupTOFTWayGogGlQs7NWJsZSGYkF1h7x6cSKtvQNhTcwVNZbIantvSB4jvTyd0fbekIyk0zMZ7R3oUjxdLjMUC8rn8ejl6bSGYkEFvB69NJXWQDSoHZsCemkyqx2bAhqJ52vlgz6PXpxMazAWVNjv1YuTKV0+0KXpVHmfOzeHlS+UNJPJKxrya3w2q609QYUDXr0wkdIr+rs0lz0fo9cjnZoqx+iR9PJMY7wD0aC2RLw6cS6tV/aHNVU5zmA0qK5geZ/bekMKeD06PZ3W7r6wZjPl6zQYLR/3xcmUtveG5PN4dGYmre2bwsrlSzobr9zDLr/OzWY1FA1qfC6n0URW23pD8tbF4zVGL8+ktbuvS9l8SSOV++/1mPL1i4a0f1tMgYBXhUJJx0fiGolntL03XDmXtLbFwrKyenk6XblOViOVetFs2119YWXzVqOJjPq7g/J4pE1dARVL0rnZpevqhaqPZSgW1vBQVD4fcxaxds2kMzoxmtRYpR3dOxhRbzjU9uO0u99px75LJavjI3FNJrOKhgLKFUoajIW0c1OXTs+kNJbIKpkraNfmiC7dEpGkRY9TbR/q97etN6R80erFiaS6Q155PR7NZvLa3RdRplDUdDKvuWxBsbBfW3uCSueLmk5lFfb7NJrIqi8SUFfAK5/XKF8oKFc0OlfpQwrFovxer2ZSeUW7/LLWKpHOKxLwqTvkUypf0EyyoP6egPxeo3S+pMm5nPq6A+oKeJTNW82k84qF/Zqcy6qvO6h0rqCg36uw36uZVE7hgE/jc1n1dweVyuUVDQVkjJTMFpXMFRQJ+NQV8Gp8Lqf+7oCslUYSGQ1Ggwr5y7HlikWF/T7NZQraFPFrLpuX13gUDngVCXo1ly1qSySoVL6g6WReqVxBvV2B2vmdm81qc3dAvWGf9vRH5fGY2n3Y2hOS3yeNxbOaSOYUC/kU6/IrVyjJ7/XU4qzeQzd9g1P9cltf3SiVrE5NJWt18rItEcVT+XJ/WemLJOmZsYRmUnmlckVFwz5FQ77a+GIwGpTPa5RI59UV8GkimdPmroDS+bx6ggHNZfPyeDyKhnwqlsr9bF8kqEy+IL/PI5/XKOj1KpktKJEpaFtvWFds7dHpeFpjiYy6Ar7KvfYqlStqLlNQf09QuUJJiUxemyNBpfN5eeRRMldQXyQoj5EKpVK5biZzGugJqr/Hq4nZosbncoqGfAoHvJpM5rSlOyCvxyieLmguU1Bfd0A9oXIdm8sUFe3yKxKQUllpbLY8Pgv7vZpI5pTNl7Q54leuUK5TE5V994R9ms3k5DFezWby2tIdlMcYjcYzGowFVShZjc9l1RcJai6bV3fQr3glZ6ys4qmCtnT7ZW05L7tDPvVF/PJ6pHi6qKlkTt1Bn8J+jwolq0S6nAPTqbw2RwLySjodz6i/O6CQ36tMviCP8WisMuYyRhqJZ7SlO6ih3qBmkgXFM3mlskX1hH0qlIrq8vk1mcwpHPAq5Pco7PNqNlvQ1p7yeHJ8LquA16NcsaRAJSe6Qz7lCyXNZct1YSZdHp8O9QY1PddYr9b6GOdC8rR+2+r1HIk330+pZPXCRFIvTSUVCfgUCXo1OZeVx+PRlm6/8kWrszPl63p5f7eem5zTTCqvZK6g7kC5ns9m8uoJ+VUoleQxRsWSNJXMaXPEL6/HKJHJqzcc0Fy2oHS+fB/DPq9m0uVczhasxmfLfbnPK03M5tUT9imZLagvElCuWFKuYJXKFbQ5Um6vxxJZbY0GFQl49dJUSpdsCtf2s6mrfNzpVE6bugJKFwqK+Mv1rSfkU6ZQ0JbukK4cKLfLL0wkNTGXlt/j1VyuoFS+qMFoULYknYlnKu1BQWG/r9wmhAPKFkuKZwrqDfmVzBW0c3OXZirPfJf0htUV8On0TErRkF8l2VpbNhALajye01yuoGyhpMv6ItrVF9FLUym9NJVUd7DcN5WsVTZfKrcJ0ZC6Qx69MHH+ufTcbDk/Urli7b5Ki/f1rdaZapvY3x1s63PKSvY9y42hldiaPUtV+/XJ5ML70ezcCoWSnhlLaDqVVyZf1O6+iAI+o9F4VrliUdGgX8lcUZFg+R70RYK1e/vydLkvHZ/Nqr8nqIFoUAORkI6NJjSayFT6GslnPNq7NaJnziV1bjarnkqdCvo8mkrmFAn6yn1dtqCByvgtni5oc3dAHmMV9vtULNpym50rlvdrjGazeXX5fYpX/psrFBUO+JTOFRTy+xRP59TbFVCqMsZK5QoK+LyayxbUE/IpnS/nbzZva2P3oNdoJJHVQE9QyXxR6WxRsS6/8sWCQj6f0vmSZjOFyljKq+lUQROzOQ1Eg7KmJFvyKFsoKBLwazyZ1eaIXx55NJ3KKRbyayqV02A0qHzRajqdVyxUHstt7goomStqLlfQ5i6/Qn6v0rmSJuay2hwJKOA18nqMNkUCyhdKGk1kNZct1MYnkYBPZ+MZzVbGFK8aLPc5tfZ0MqlQwKOg16u+7oB2bl75uu7WSj1fgWu9UrjOwOpHnmK9Wak6vRFzZ6OdM+fbufPdaNcW61876nTHJxwZY7ySPiXpHZJOS3rMGHPYWvt0XbHflDRtrX2lMea9kv4fSe8xxrxK0nslDUvaJulvjTF7rbVFN7GUSlbfPj6q27/ypDL5kkJ+j+5999W6YXiw9gFOK2WqcrmiHjh6Vnd+41it7G3X7dEX/+ElTadyDX8funlYJ0ZmdMW2Xh06fLxW/q6Dw4on03p5Kqw7Dx/Xpq6A3v8zu3TfIycb/q7f/z89P6nr9w3prgfP7+fug8P64U8m9M3jYzp087BmU2kl0vkF+6zfz7l4Sulcr+6si2d+zF/6x5d04tyc7j44rF19Af3DT1KLlh+ZnlMqW2g47l89dkrvObBTn/jeyYbzPjM1p1SuoEOLxNjsWt59cFgeFfXEqXxDLPXxOl2n+WW+9dSIbtw/1NI1nh/PUmXuvmWfbh4e1P94elR3POBcR5rFMH/bvVu79b7X71pwLl5jdefhp5esqxeqUCjpgR+daTiPe27dp1tfvX3N/4McNqaZdEYPHxvXnYeP1bWj+3T9vv62Dg7b3e+0Y9+f+dVrND6b05997+SCtvmeW/cplS3o33/rmdqyT/7Sa5QrWMfjVNuH+v1t6gro19+4W/d+98SCfu2333KZkrliQ5t3+zv2aigWVCpX0qHDTzS0c4PRgKZSBf2brz+lTL6kXX1h/fZbXqk/bNL2BnxG//wtr1zQP37q757TS5NpHdgV07sP7NSn/u65Bed+6KZhffWJU/rVn9mtTL4xjo9cu0ffe2ZUP/9TOxe0+X1dfr00mdS93z3RcMyvHDmla68YbDjG719/uf7bD1/Ue1+7U4OxkLyyem5sVjPpQsP1+Pgt+/TJ/3lSL02ma9dhNJFRKmv1e3/9ZO06fOitr1zQJ2/vDWkmlW+4h276Bqf6df2VA3r4x2PLrq9ulEpW33t2TCfH5nTfIyeb9oUfv2WftvT49czIXGM/WnffQ36PPnbjFUrnS/rTvz3RcF+/fKQ8RvnykVN672t3KhLw6s+//7ymU7na+t9846UK+r218duuvrA+9LY9DeO/P7jhCmWLpYZ60DBGumlYn/7B+Xj+03terelUoXYu5fu5p6FNuu26PeoO+jSdzGoymZ93fvv0qb8r15H5dWFXX3jRPKjmXH9PUH/wtScajtdsTNLsOjUr97Ebr1BX8P9n79/j5DruOv//XX2/zHTPaDSaGUmWLTuS7YwkTFBgMXwDayfBAVs2CThh+ZIfu2RZ9gvExMBvgU0spDjLcjPrQHa5PWCT/S6XkOwmsgkhwQHyy5pLFIhlyY4lx7JkSTOjufbM9P1Svz96utWXc3p6elpz0+v5ePTD06fr1KmqU1WfOq3yjK+6VnAqx/vevF+P//kLetcb91Tb5omHv0Hz6YJ+8Snn9eAHHzygbKGox//8xbq54bf/9ky1Po/cu6/u3lXu9x/944Wmsf7oW/Yr7PfqQ595sVrO/+c7X1e3Pt/sa5xO44rbubV9uTYft7QRv1dPnbpcN2fePBDWT7/ldl2eSzfN/4O9QSXSOWXyJVmZumeDP/nyRf2bu/fqpfxi03l9IZ9evlo//9au9X/+vjs0tvSP+m7PVseOjOprV+a0sPSM1pjmWsz5p4Yx8YJ+6t796gn59Dt/+7J+8Ftu0fh8pqmMf/h/Xq3OAZ/8p3N68K7devlqUv/zHy7Uxczlnv8q7f8r7zikycWsfvUvX6rrr7/5hWsx4/GHRlUsqemZ87PPj+nvzs/ol95+UNOLOf3a516q6x8Bn9FP/NE/d6XPvO/N+xX2e1Ydi7rRp7tlNXHR7VlqsDegxz59pmmecqpboVDSX5wZ06XZdFMf/jOHNUdl7v7A/a+X32t0ZS5bNx//8jsOKlew+kBNLDv6wKiiAaOvTyWbnl8Hon4VSlaJdOvxNNgb0EvjzeM17Pfq97/0SjWW1P63eT12rqk+/+G+OzSfLug/fPL5uuv9w9entG84Vne9X/reg5pcXKzODU5rpuNHRvVXL47prpsG6sZh7XcXrY411vu/1sTYynN6POLXhel03Rz1/u+5U36vpynmHDm4U3/10tWm+TQa8Gpn/6LuuX1ow286WqvnK9DWa4V2BjY+xim2mrXq0zfi2LnR6kx9r199b7S2xdbXrT69Ft+if7Okl621r1hrc5L+RNKDDWkelPTRpZ8/IeleY4xZOv4n1tqstfa8pJeX8uvIq9PJ6hc4kpTJl/Tox7+qV6eTK0pTcepKovqPTZW0Tz5zTm9/w+6mn489dUbfdXBX9YulSvqjJ87orj3bq19+vf0Nu6tfXtX+XJv/D3/73uqXhZXjj504o+97457qtdzyrM3nuw7uqqZxKv+xp87oPW+6rZq/kX/Z9N+2b6jpuvcf2lX9srC23t+2b6jaHm5ldGrLx06c0Z6BWFNZasvr1k6Nad7zptvabuPG8iyX5rFPn9bz4/PVL2vd8nEqQ+O573nTbY51iQT8bfXV1Tozlmiqx/s/dVpnxhJdvxawFs6OJ6sBVKrMo6d1dry746fbcacbeS+ki3r/p047zs3v/9RpTSVzdcdOXUq0vE5lfqjN7+1v2F39x5XGuDaVzDXNeU98/qzi4UBTjDz21Bl5PZ7qZiNJuv/Qrupmo0q6yrx6/6FdjvHx/kO7JEnvvvvW6vvGuh97+ozeffet+vpksqkcH/7COb377lsd5/xI0F+ta+013333rU3X+LXPvaT7D+3Sk8+c0/mppPqiQY3NZ5va4wOfPl0tc7UdjKe62ajSDk4x+eXJZNM97CQ2uPWvM2Ot+0M3vTqd1KlLiWr7OMXCD3z6tLzG0xxHa+57Jl/SVDJX3WxUOfbhL1xbo1Tuy1QyV43RleNTyVxdn7j/0K6m9d90KtfUD+rWSE/Xl6dQVF1dyvezeb0wuZhVJOB3qN+1PtLYF5YbB5Uxd34q2XQ9pzWJUzs5pZtK5urWCk7l+I2/OlvNo9I2pZKqY9ppPfiBT5/W1YVs09xQW5/Ge1e5305j/YnPn9XkYraunI1jfrOvcTqNK27n1t6v2nzc0k6nck1z5v2HdunlyUXH+f/8VFJ9kaAiAX/Ts8H9h3ZpOuUcN5zm39q1/nQqp6sL2boY1JjP0RP1z2iNaZxiTmUs/Pz/fl7PX07o3XffqvPTSccy1s4B7777Vk0uZvXE5882xczlnv8q+bw8uVjdbFT5vBKDK+9DPp/jM+cPf/teZfIlnZ9KVjcb1faPU5cSXeszv/FXZ7sSi1pd43rFnpWWoZ246PYstZAuOs5TTnU7M5bQuavNY+ioy5qj0k9PXUpoIV1smo+/PpmsbjaqHDv21Bn1RYKOz6+RgF/j88uPJ5+nOSZX5t3aWFL737oyPO1cn1/+7Nf09clk0/W+7417mq53vmYjuOS8ZnrsxBn94L/Y2zQOncam23itLUfjui0S8CtfUNMcdXUh6xhzTl1p7keV2HbqUmJN+3qn1ur5CrT1WqGdgY2PcYqtZq369I04dm60OlPf61ffG61tsfV1q0+vxYajXZJeq3l/aemYYxprbUFSQtJAm+dKkowxP2qMOWmMOTk5OelYkIn5TLXBKspf+mRWlKZi3CWtMc4/Ty44p5+oOW6MHH+uTT+bzDsen17MLptnbXq38tSWOZ0rOObplv6qw3Xdru+Utt22dCtLbXnd2qk2TTpXWFEb15ahnTQT89nl2zjrXIbac93SJJfqUnvMqa+20s7YGUs4t/d4YmXXAjYKt7E5MZ9tO4/1iDvdyDu5NJ+4zbslW3+dknWfw6Vr84Nb/Gr82S0/tzm18XireLFcLEkvU/d0ruBavlbz8ErSV65dstJMMu96PWPq38+02Q4lq6Z72ElscOtfbvHgesSeiflMXfu4tWlj21SO17Zhq3ZuvC+Na4/Gc53afrn72FieZENdWt3PxrSN+TWeu9w4qM27Mc1y/bbyX6d07bRTY16NbdHuvORWn8qxSlnayc8tzUZd43Qr9rhxO7dxvd8qbck2j9dW83/JSrPJvGNfaHWe29iorPUr8+Fy/WuyxTPJcv24Utd25oDaGNNOzHTKp52Y4dYuc6l8yzw6jR2t+kEn+a3kGtcj9qy0DO3ERbc0yVyh5bNyrbFExn2N4rIWqYwfpz7hlpdbTE02rJFW+l1FZY52iilN9XHpw059amqxeU3fbjyaS+Wb6uM0HlcyRmvbayXt7vbdUmUe63TsdEt7sWf1z1doD229NrrVzquJPcCNjNiDG9HafV99442dG63O1Pf6rdtutLbF1tetPr05/06AA2vt71prD1trDw8ODjqmGYqFFPLXVznk92hHb2hFaSpGXNJa6/zzjl7n9EMNx91+rrzfFvU7Hh/oCV7LM+ae53LlqS1zOOBzzdMpvdt1V1pvp7xbXcepvG7tVJsmEvCtqI1ry9BOmqFYcNk0kaBzGWrPdUsTDfiajjn11VbaGTsj8bDj9Yfj/IpAbE5uY3MoFmw7j/WIO93IOxq6Np84nd/41xq8xj2GSPXzQzuxzC2/fpc51e144/vaedXts9q51C0+uJWv1Ty8kvTWXmvnbVG/6/WsrX/vFnMa33uMmu5hJ7HBrX+NxDvrr43aHT+17ePWpsvFY8m931XuR+19aVx7uJ1ba7n72Fie2nHolmelPG5pG/vIcnk1pnfqJ8v128p/ndK1006NeUnN9WtnXnKrT+VYbVnaza/x/UZd43Qr9rhpZ71fycctrcc4j1e3PuIxUn/U79oX3M5zGxuVtb7XNJ/r1i7LpXFqj9q6tjMHNMaYdmJmYz7txAy3dumL+Fvm0WnsaNUPOslvJde4HrFnpWVoJy66PUtFa55LW51fycN1jeKyFqnEMKc+4ZaXW0yNOqyRnNK5rdsq/aGx/69kDeXUp7b3NK/p241HfRG/Y33aPVb7vjEmRQO+FbX7cItx5DHqeOx0S3uxZ/XPV2gPbb02utXOq4k9wI2M2IMb0dp9X33jjZ0brc7U9/qt2260tsXW160+7Vk+yapdlnRTzfvdS8cc0xhjfJLikqbbPLdttwxE9cTDd9V9afTEw3fploHoitJUHNwZ1/EHD9SlfeTeffpf/3Sp6eejD4zqs89f1rEjo3Xpjx0Z1VcvTun40vFPfuWSHrl3X9PPtfn/4ZfO6+gD9fkcPzKqT3z5YvVaX73gnGdtPp99/nI1jVP5jz4wqt//4ter+VubXzb9l85ONF33qecu67337Guq95fOTVTbw62MTm15/MioLk7NN5Wltrxu7dSY5ve++PW227ixPMulOf7gAR0cjunxh1r3EacyNJ77e1/8umNdUrl8W311tUZHmuvx+EMHNDoS7/q1gLWwfziq40fq+/TxIwe0f7i746fbcacbefeGvHr8oQOOc/PjDx3Q9mig7tjB3fGW16nMD7X5ffIrl/ToW/Y7xrWBaKBpznv0LfuVSOeaYuTRB0ZVLJX0oe89WD3+1HOX9Ysuc+9Tz112jI9PnyovHT767Cs6fmTUse5H7x/Vx559RbcORpvK8d579umjz77iOOensvlqXWuv+dFnX2m6xs+89XY9feqyHrl3n/Zuj2oumdVwLNjUHh988EC1zNV2sCX9+vffVdcOTjH5dYPRpnvYSWxw61+jI637QzfdMhDVwd3xavs4xcIPPnhARVtqjqM19z3k92ggGtD73ry/6b4+fepy9b+P3LtP26OBaoyuHB+IBur6xFPPXW5a/22LBJr6Qd0a6f768vg8qqtL+X42rxcGe4JKZfMO9bvWRxr7wnLjoDLm9m6PNl3PaU3i1E5O6Qaigbq1glM53vfm/dU8Km3jMaqOaaf14AcfPKAdvcG6Y0cfqK9P472r3G+nsf7oW/ZrsOYfqJ96rnl9vtnXOJ3GFbdza+9XbT5uaQcigaY586nnLuu2wR7H+X/v9qjmUlmlsvmmZ4OnnrusbRHnuJHKNM+/tWv9bZGABnuDdTGoMZ9jR+qf0RrTOMWcylj4pe89qIO74vros6/oloGoYxlr54CPPfuKtvcE9ehb9jfFzOWe/yr53DbYo5/9rtub+mvteMjkC47PnP/9S+cV8nt0y/aofuat9Xk88fBdOrQ73rU+87437+9KLGp1jesVe1ZahnbiotuzVG/Y6zhPOdVtdCSm1+1oHkPHXNYclX56cHdcvSFv03x862BUH2yIZUcfGNVcKuv4/JrK5TUUW348FUrNMbky71bq2vjfujLc71yf/3DfHbptMNp0vU98+WLT9W4ZiNbNDU5rpuNHRvU///580zh0Gptu47W2HI3rtlQuL79XTXPUYG/QMeYc2tncjyqx7dDu+Jr29U6t1fMVaOu1Qjtvbbtu2iNjzKpfu27as95VuaExTrHVrFWfvhHHzo1WZ+p7/ep7o7Uttr5u9Wlja/9XrOtgaQPRWUn3qrxZ6MuS/pW19kxNmh+XdNBa+2PGmHdJeru19mFjzKikP5L0zZJ2SnpG0j5rbbHVNQ8fPmxPnjzp+FmpZPXqdFJXFzLa0RvSLQNReRr+V7l20lTkckWdupLQxHxGw/GQ+sN+XV3Mans0qEyhqMuzaQ3HQuqL+jWWyGhnX0hX53OamM9oKBbSjlhAV+Yy2tUf0vhcVhPzWe3qC6kn6Nd0KqsdPUHNpvMaT2S0qy+kkpUuz2W0dyCidL6o8fmshmJBxcNenZtIaSgWVG/YqwtTae3bEdZUsljN02Ok12bLZfConM/rdkQ0nymnGYkF5fN69NpsWsOxoII+jy7MpDUUC2p3f0AXZ7La1RfQWCKvifnyP5KG/B69Ol1OHw54dWE6pX1DEc2lynnu2RZWvlDSXCavWMivyYWsdvSW056fSum2wYgWs9fK6PVIr81kNBIv/1aDS3Plnz1LPw/Fgtoe9erc1bRuGwxrZuk6w7GgIkGvXp1KaSQeUsDn0eXZtPZsC2sxW26n2jKOxEPyez26MpfWzr6wcoXyr8MfjofUH/FrcjGr4d6gJhdz5fzjIfmM9NpcRjvjIfk8Rpfm0rp5W0TZQvlXoA/HQvJ5jS7NpjUUC+nQzrgCAa8KhZLOjCU0nshopC8kj4wuz5X7hYx0aTat3f1hFYpW40v9wuncPQNhZfPlNNt7gvJ5pL5IQMWSNLm4fF+V5PpBO2OntizD8ZBGR+Ly+dZizyJwfcylMzo7ntTE0jy6fziqvrDr/z3ccvysZdzpRt6lktWZsYRmkln1hgLKF0saioW0pz+iS3MpTcxnlcoVtGdbVHu3lxcWra5TmR9q8xuJh5QvWr06lVRPyCuvx6OFTF63DESVKRSrfz4nFvZrR29Q6XxRs6mswn6fJuaz6o8GFPV75fMZ5QsF5YpGkwtZDfYEVbRF+TxezaXyioX9srKaTxcUCXjVG/IpnStqLp3X9p6A/F6jdL6k6cWctkUDigY9yuat5tJ5xUPlWDsQDSqdKyjo9yrs92oulVPY79NUshzPU/m8ekMBeYyUzBaVyhUVCXgV8Xs1lcppezQga7U0hwcV8pfLli+WFPJ7tZgpqC/iVzJXkMcYRQJeRQNeJXNFDUSDSuULmk3mlcoV1Rfxq1Asyu/16upCVtuiAfVFfNo3GJPHY6r3YbAnJL9PmkhkNZ3MqTfkU1/Yr3yxJJ/Xs1TOa/ewnf7Ubv9aYX9dVewplawuziSrfXLv9qgSqXw57i7FIkn62sS85lLlNuwN+RQL+5RcWl8MxYLye4zms3lF/D5NJ3PqjwSUzhfUE/Qrmc3L4/EoFvSpaMtxdiAaVCZfkM/rkc9rFPJ5lcwWtJApaiQe1B1DMV1KpDUxn1Ek4FWuWFLY71U6V9RitqCBnoDyBav5TF79kYCyhYKMPErlCuqPBuQ1RoVSSel8STPJnHb0BjXY69XUQlGTi+X7GQl4NZ0s9y+v1yiRLmgxU867N+jVXDqvxUxRsbBf0aBRKms1sbC0Jgp4NZXMKZsvaVvEr9xSn5pK5tQb9Kk35NNiNi+P8WhhKU+vMeU+3BtU0VpNLea0LRLQYi6vnqBfiXRe8aXxlkgVtL3HL2uNri5m1RP0aVvUL59HSqSLmknm1BP0Kez3qFAqj8++iF9z6XJ7+Ix0KZHR9p6Awn6vMvmCPMajiYWsdsZDMqb854O2R4Ma6Q9qLllQIpNXOltUT8inUqmk0NK9DAe8Cvk9Cvu8WsgWtKO3vJ6cWszK7/UoVywp4PUolSsqGvAqX7RazOYVDfg0l86rN+TXSF9Qs4v1/WqDrHGua+xxU3vuYE+5PcfnnfMplazOTyV1cSapSKDcb2eSWXk8Hm2P+pUvWY3Nldv19sFevTy9WB2rlXl0IVu+DwVbkldGhZI0m8qpP+KX1xgtZPOKhwJK5gpK50qKhpbm6nRO/eGAckWrycWshnqD8nmlqYW8ekI+pfIFbQsHlC+VlCtYpXJFbYv6Za00sVB+zooGvbowk9JN/WFlC1ZTi1n1LV13LpVXX8SvTKGgiN+vmWRO0ZBPuUJRAz0B3TkUl8djdH4qqanFtPwerxaXyjgUK8eFK4nyuj1fLCjoK4+7vnBAuWJJ85mCYiH/0lwd0Vz1mS+saMCny3Mp9YTKY+7qfLl+Q31BTSZyWswVlM2XtHd7VLcMRHVhJqWLM8nyuAt4VbJW2XxpaU4IqTfk0atT155LJxfK4yOVK2ooFqpuZlhtn6nMifliSdt7git5TllRv7zesWelZWinbE7PUpW4PpNsvh9OdSsUSvraxLxmU3ll8kXdMhBVwGc0nsgqXyyqN+hXKl+s3oNt0WD13r42W46llbXUUDyooWhIp8fnNTGf0bZoQD6v5DMe7d8R1deuJjW5UJ7fIwGvgj5PeQwEfUotxbqhpfXbfKag/khAHo9V2OdTsWSVyJTH+UBPQL6lcRzx+zSfzSvsL4+jcMCndK6gkN+nRDqnvkhAqVxB0YBPqVxBAZ9Xi9mCeoI+ZfNF9Uf9yhZsNbYHvUZjS2MjmS8qnS0qHvErXywq5PMpnS9qIVvQtkhAfWGvZtMFTS3mNNQblExJpZJH2UJB0YBfU8nK2PdoNpVTPOTXTKqctlCyml1aNy5m89oWCSiZKyqZLao/4lMo4FU6V/7zbtuiAQW8Rl6PUX80oHyhpPH5rBazBcVCPsVCPkWDPl1JZLS4tKZ4/VLMqZ1PAz6PQj6vBnoC2rNtdWOnAx3HnhU+X2EVaOu10c3vDKT2Yo8xRu/8nWc7KG29P/13d+t6f+e/mdHOra1x+6xq7DAfYqtZq++rb8Sxc6PVmfpev3Xbjda22Pq6MX6u+4YjSTLGfLek/yLJK+kPrLUfMsYcl3TSWnvCGBOS9D8kfaOkGUnvsta+snTuf5T0byQVJP2UtfYvlrteJ18eAjeA6/LFO3CD6PgBDrjBEXuAzhF7gM4Qe4DOEXuAzrDhaBOhnVvbTBuOgBsc6zagM8QeoHOO48e3Fle21n5G0mcajj1W83NG0ve7nPshSR+6rgUEAAAAAAAAAAAAAAAA0JYN8bcCAAAAAAAAAAAAAAAAAGwObDgCAAAAAAAAAAAAAAAA0DY2HAEAAAAAAAAAAAAAAABom7HWrncZus4YMynpwnqXYxnbJU2tdyHW0I1U341a1ylr7X2tErQ5djZa/SjP8jZamTZjeVqOny7EnY3WJp3Y7HXY7OWXNmYduhF7NmK9Gm2GMkqbo5yU8ZrrHXuup81wH91s5rJLm7v83Sp7t557ulmm9bQV6iBtjXpshjp0I/Zshno22oxlljZnubdqmbfqd27toMxrY6uWeauOHcrT2kYrj7TxyrRW31dvtHqvhRutztS3GbFnbVCe1jZaeaRVjJ8tueFoMzDGnLTWHl7vcqyVG6m+W72uG61+lGd5G61MlGdjlmG1NnsdNnv5pa1RByeboV6boYzS5ignZdwaNnMbbeayS5u7/Bux7BuxTCu1FeogbY16bIU6tGMz1nMzllnanOWmzBvnWt1CmdcGZd4412oH5Wlto5VH2nhlWqvybLR6r4Ubrc7Ud2tcqx2UpzXKs7zVlIk/qQYAAAAAAAAAAAAAAACgbWw4AgAAAAAAAAAAAAAAANA2Nhytn99d7wKssRupvlu9rhutfpRneRutTJSn2UYow2pt9jps9vJLW6MOTjZDvTZDGaXNUU7KuDVs5jbazGWXNnf5N2LZN2KZVmor1EHaGvXYCnVox2as52Yss7Q5y02ZN861uoUyrw3KvHGu1Q7K09pGK4+08cq0VuXZaPVeCzdananv1rhWOyhPa5RneR2XyVhru1kQAAAAAAAAAAAAAAAAAFsYv+EIAAAAAAAAAAAAAAAAQNvYcAQAAAAAAAAAAAAAAACgbVtyw9F9991nJfHixav+tSzGDi9erq+WGDu8eLm+lsX44cXL9dUSY4cXL9fXshg/vHi5vlpi7PDi5fpaFuOHFy/H17IYO7x4ub5aYuzw4uX6Whbjhxcv15ejLbnhaGpqar2LAGxKjB2gM4wdoHOMH6AzjB2gc4wfoDOMHaBzjB+gM4wdoDOMHaBzjB9gZbbkhiMAAAAAAAAAAAAAAAAA1wcbjgAAAAAAAAAAAAAAAAC0jQ1HAAAAAAAAAAAAAAAAANrGhiMAAAAAAAAAAAAAAAAAbVvXDUfGmD8wxlw1xpx2+dwYYz5sjHnZGHPKGPOGtS4jAAAAAAAAAAAAAAAAgGt863z9/y7ptyR9zOXzt0nat/T6Fkn/bem/G0apZPXqdFIT8xnt6A3J65HGEhkNxUK6ZSAqj8fUpS8USjozltBYIqOdfWH1Bn0an89oZ19Ic8m8xuYz2t0fVsjn1eRiti6fumv1BJUuFHVpNu2afqVlbqf8teeOxEMqlqSrCxnXctamiQR8yhWL2hYJVq9TW++ReFijIzH5fBvjF2/V1sOtPXK5ok5dSWh8PqORWEgHd8YVCHhXnGc71wLQXXPpjM6OJzUxn9VQLKj9w1H1hUNdv85WGN+d1GEl55RKVhdnyvcimSto77aIFrIFXUmUY8OdQ726nEjrSiKthUxBO/vCumNHry4l0q75L3d9t3i8ozckj5HOTycVDfg0FAtqz7byublcUc+PJXR1PqtYyKd4xK90vqiBaFC3DEQlqe6ae/ojujibcizDcrF4cjGrgNejVK644ti+WfvZarW7JltpLK4cn06635N22r/dNOenkrowU9//JLmeWxk/VxeySqTziga8Cvq8GugJaHdfcx9slZdbOUslWx0vy63X6trL49F0MqegzyOv16gn6NMdQ63Xeu3en93xsF6cmG+rTDei9ZoTaufWdvvKcmUslawuTCfrYsDrh2OS5Hgtp3wLhVLdmn10OKYrC5mmsXFpLqnxuayuLmS1qz8kn8ejy3POz1ulktXXJuY1m8orky/q1oGo9g72ONahtl1294cV9Hn12myqKc6sFrFgc+lW7FgPlXE5Pp/RfDqv3rBPI7Gwbl4aS69MLur8dFIhv1f9Eb/2D/bqyny6uta7eVtUe7e7x6RSyeq12aQmEllNJbPa1RfRnUOt136VcTadzCoWCiibLyrk9yqRyWkoFlKhaFcUM2rbvvJdhtuar9Vawi3tWlqrfrTS70fQubV6lr3RrWU7c0/XxkaNq1tNMp3VmfHFan8eHe5RNBxc72IBqLGYzuiFmrjz+uGoerZ43JlPZ/S1mjrfMRxVbAvXOZXO6fT4QrW+B4Z7FQkH1rtY1006ndfz4/PV+h4cjikc9l+Xa2UyBT0/ltD4fFbDsaAOjsQVCq33dgugc914FlnXEWCt/aIx5pYWSR6U9DFrrZX098aYPmPMiLV2bG1K2FqpZPXZM+N69ONfVSZfUsjv0SP37tPH/u6CZlM5PfHwXbpvdLj64FIolPSp5y7r/Z86XZf+H1+Z1lsPjOjYU2fUHwno3d96s5585lw1zRMP36W33jmkz7040XStv3h+TG87ONKUvva6Kylzq/LXnttOOZ3SvPeeffrTkxf1rjfuqat35fPHHzqgh75h17r/g5FTOzW2Ry5X1KdOXdFjn752P48/eEAPHdrp+KWaW55O97bVPQSwenPpjD53elKPnagZv0cO6K0HBrv6pV47c8lG10kdVnJOqWT1hZcmdG5iUU8+c84xdvzK9x3SeCKjJz5/Vpl8STcPhPXj/3Jf3fxbm/9y13eLx06x8JF792nfUI++fe92PXV6TB/4dP05Eb9Xf/DseX3g/tcrV7DVa948ENZP3rOv7hqVMkhqGYt/4W13KJ0v6Tf+6mzHsX2z9bPVandNJjW3fatYXDn+y599Ue88vEcf/kLzesstT7c11ErSPHLvPr1+Z6+S2ZLjuZL0hZcm9Mpksjo+KucNRP066Zmt64O/9a++sa6ftjN2fueH3qDJhVxdPm7rtcr5Tu31yL37FA14dX4qqbeNjjiu9dpdKx2+Oa6H33hz3RywUdaQG8F6zQlOc+tyfWW5MjbGiEra//S9B+X3Gv3sJ07VXevIwZ36q5eu1uX7Bz/8Tbo0m61fsx85oI/8zTldmE5Xr72916fzk2kdPXGmrt86PW/9+vffJZ9XemUy2XT8bQeGmzZBVNqlPxLQv/62W5rG676hHt1z+9Cq7g+xYHPpNC5shHtaGZdOsed1O3okST/5x/9cPf4Lb7tDr0wldXk2XTde3GLSW+8c0v95ZVJX5rLV7wqWW/tVxtlvfuFcU/z5+fvu0MtX68u6XMxwavvKdxmNa77l1hIBn9FP/NE/r9s9XKt+tNLvR9C5tXqWvdGtZTtzT9fGRo2rW00yndWfn77a1J+/58AONh0BG8RiOqPPOMSd7z4wuGU3Hc2nM/qsQ53vOzC4JTcdpdI5PX16oqm+9x8Y2pKbjtLpvJ46Pd5U3wcODHd901EmU9CJ58earnXk4AibjrApdetZZKN/I79L0ms17y8tHdsQXp1OVh9SJCmTL+nJZ87p7W/YrUy+/A9Dr04nq+nPjCWqX8DXpv/hb99b/SLt7W/YXf0SrpLm0Y9/VWfGEo7Xes+bbnNMX3vdlZS5Vflrz22nnE5pPvyFc7r/0K6melc+f/+nTuvMWKI7N2gVnNqpsT1OXUlUv0yrpHns06d16opz+d3ydLq3re4hgNU7O56sBlBpafyeOK2z490dd+3MJRtdJ3VYyTmvTid16lKiGi+cYsfLVxer/0gkSfcf2tU0/9bmv9z13eKxUyx88plzOnUpoefHEtXNRrXnTKdyuv/QLp26VD+X339oV9M1KmVYLhZPJXPVzUbttPlW6Ger1e6abKWxuHL8/kO7qv94Wft5qzzd1lArSfPkM+e0kC66nlsZP7Xjo3JeJOBv6oON/bSdsbOQLjbl47Zeq5zv1F5PPnNOU8mczl1ddF3rtXt/3n33rU1zwEZZQ24E6zUnOM2ty/WV5crYGCMqaX/hfz+vc1cXm6516kpzHy8U1bxmP3Fa9x/aVXftYtFUNxtVjrs9b/30n31V+YJ1PN5Yh9p2efsbdjuO11OXEqu+P8SCzaVbsWM9tIo9z19O6PnLibrjU8mcXr662DRe3GLSmbGEFtLFuu8Kllv7VcaZU/yZTuWayrpczHBq+8p3Ga3K7XT81KXEut7DtepHK/1+BJ1bq2fZG91atjP3dG1s1Li61ZwZX3Tsz2fGF9e5ZAAqXnCJOy9s4bjzNZc6f22L1vn0+IJjfU+PL6xzya6P58fnHev7/Ph89681lnC+Ft9JYpPq1rPIRt9w1DZjzI8aY04aY05OTk6uyTUn5jPVG1CRyZdkzLWfry5kqp+NJZzTzybz1ePGyDGN27npbMHxeO11V1pmt/LXnttOOd3SVI7X1rv28/GEc9nXkls71bbHuEuaifmVtb3bvXW7h922HmMHWG8T81mX8ZttO492xk47c8lG10kdVnLOxHxGJauWsaP2c7c0tfkvd323edctFpasNO7SZ0q2XJ6VlHG5WNyYV2P5G23Gftbt2NPummylsbhyvJP76baGWmmaZIu1XuP4We685fqWUxncru+0Xquc79ZeJVsug9tar93747b+3QhryOttI8cet3HUqq8sV8ZWfbxk1XTMaX0+4/LMYUz9+8kF53nerb8lc+09h7XzfFSyWvX92YyxYK1tpOeebsWO9bDcuGwcm5Vj7caksUSmKfYst/ZrFa/drtMqZrRaV7Qqd7tz1Vrew270o3bGzkq/H0HnuvEsi+V1q53bW7txT9fCRo2rW81ajh0AzYg7zm60OlPf6xd73P6NYKu2Lba+bo2fjb7h6LKkm2re71461sRa+7vW2sPW2sODg4NrUrihWEghf30ThvweWXvt5x29137d1Eg87Jh+W9Rfd9wpzUjc+VqRoM/xeO11V1pmt/I3nutczvCyaax1rnfl8+H4+v8KQ7d2qrufLmmGYitre7d763YPu209xg6w3oZiQZfx2/6vd25n7LQzl2x0ndRhJecMxULyGrWMHY2fO6WpzX+567vFY7dY6DHSsEuf8RjJ2pWVcblY7JbXSmP7Ru5n3Y497a7J3GOxc5+ojdErvZ+t1lArSRMNua/1nMZPq/OW61tOZXC7vtN6rfZ8t/HiMXJd67W7VnJb/26ENeT1tpFjj9s4Wq6vtCpjqz7e+JcvQn6Phh3ydXvmsLb+/WCv8zzv1t+igfaew9p5PvIYrfr+bMZYsNY20nNPt2LHelhuXDaOTa9xjj9ueYzEQ66xp/G909qu3eu0ihmt1hWtyt3uXLWW97Ab/aidsbPS70fQuW48y2J53Wrn9tZu3NO1sFHj6lazlmMHQDPijrMbrc7U9/rFHrd/I9iqbYutr1vjZ6NvODoh6d2m7F9ISlhrx9a7UBW3DET1xMN31X2x9ci9+/S//umSQv7y34G+ZSBaTT86EtPjDx1oSv+HXzqvow+MKuT36JNfuaRH7t1Xl+aJh+/S6Ejc8Vq/98WvO6avve5Kytyq/LXnupcz1jLNe+/Zp6dPXW6qd+Xzxx86oNGReHdu0Co4tVNjexzcGdfxB+vv5/EHD+jQTufyu+XpdG9b3UMAq7d/OKrjRxrG75ED2j/c3XHXzlyy0XVSh5Wcc8tAVAd3x6vxwil23LajR4++ZX/12FPPXW6af2vzX+76bvHYKRY+cu8+Hdod18GRuD74YPM5A5GAnj51WQd318/lTz13uekalTIsF4sHogG97837227zrdDPVqvdNZl7LI61jNFPPXdZ773Heb3VTvt3muaRe/epN+R1PbcyfmrHR+W8VDbf1Acb+2k7Y6c35G3Kx229Vjnfqb0euXeftkcD2rejx3Wt1+5a6aPPvtI0B2yUNeRGsF5zgtPculxfWa6MjTGikvY/fe9B7dvR03StQzub+7jPq+Y1+5EDevrU5bpre71Wx46MNvVbp+etX//+u+T3GcfjjXWobZdPfuWS43g9tDu+6vtDLNhcuhU71kOr2HNwV1wHd8Xrjg9EA7ptR0/TeHGLSaMjcfWGvHXfFSy39quMM6f4sy0SaCrrcjHDqe0r32W0KrfT8UO74+t6D9eqH630+xF0bq2eZW90a9nO3NO1sVHj6lYzOtzj2J9Hh3vWuWQAKl7vEndev4Xjzh0udb5ji9b5wHCvY30PDPeuc8muj4PDMcf6HhyOdf9aI3Hna/GdJDapbj2LGGvt8qmuE2PMH0v6TknbJU1IOirJL0nW2t82xhhJvyXpPkkpSf/aWntyuXwPHz5sT55cNllXlEpWr04ndXUho8GekLye8q+S3tEb0i0DUXka/ne2QqGkM2MJjScyGomH1Bvya2Kh/PNcMq/x+Yx29YcV8nk1lczW5VN7re3RoDKFoi7Ppl3Tr7TM7ZS/9tzhWEjFkjS5mHEtZyXN1YWMIgGv8sWS+iPB6nVq6z0cD2l0JC6fb2Psg6uth1t75HJFnbqS0MR8RkOxkA7tjCsQ8K44z3au1QXLZriWYwdYb3PpjM6OJzUxn9VQLKj9w1H1hV3/z7aW46fV2Fmj8X1ddVKHlZxTKlldnCnfi1SuoJu3RbSYLWgsUY4Ndw7FdDmR1pVEWouZokbiQd0xFNOlRNo1/+Wu7xaPB3tC8hjp1emkIgGfhmJB7dlWPjeXK+r5sYSuLmTVG/QpHvYrWyhqWzRY/ZKy9pp7+iO6OJtyLMNysXhqMSu/16NUrqih2Mpi+wbrZ2sWe9pdk600FleOzyTd70k77d9umvNTSV2cqe9/klzPrYyfyYWsEum8wgGvQj6vBnoC2t3X3Adb5eVWzlLJVsfLcuu1uvbyeDSTysnv9cjnNeoJ+nTHUKzlWq/d+7M7HtaLE/NtlWkT23Sxp3ZubbevLFfGUsnqwnSyLga8fumLHKdrOeVbKJTq1uwHhmO6spBpGhuX5pIan8vq6mJWO+Mh+b0eXZlzft4qlay+NjGv2VRemXxReweiunWwx7EOte2yqz+soM+rS7OppjizWhs4Fqy1TfHc063YsR4q43J8PqOFdEHRkFc742HdvDSWXplc1PnppEJ+r/ojfu0f7NWV+XR1rbdnW1R7t7vHpFLJ6rXZpCYSWU0ls9oVD+vO4dZrv8o4m0lm1RsKKJcvKuD3aiGT047ekAolu6KYUWn7iflr32W4rflarSXc0q6lFfajjmPPSr8fQedW+CyLDnXzOwOp9fjhnq6NjRpXt5pkOqsz44vV/jw63KNo2PX/kt8U6zZgg+p43baYzuiFmrjz+uGoerZ43JlPZ/S1mjrfMRxVbAvXOZXO6fT4QrW+B4Z7FQkH1rtY1006ndfz4/PV+h4cjikc9rslX1XsyWQKen4sce1aI3GFQr5VlB5YX9147lnXDUfXC4tQwBEPcEDnOn6AA25wxB6gc8QeoDPEHqBzxB6gM8QeoDOMHaBzrNuAzhB7gM45jp8t978BAwAAAAAAAAAAAAAAALh+2HAEAAAAAAAAAAAAAAAAoG1sOAIAAAAAAAAAAAAAAADQNjYcAQAAAAAAAAAAAAAAAGgbG44AAAAAAAAAAAAAAAAAtI0NRwAAAAAAAAAAAAAAAADaxoYjAAAAAAAAAAAAAAAAAG1jwxEAAAAAAAAAAAAAAACAtrHhCAAAAAAAAAAAAAAAAEDb2HAEAAAAAAAAAAAAAAAAoG1sOAIAAAAAAAAAAMCms+umPTLGrPq166Y9610VAACATce33gUAAAAAAAAAAAAAVurKpdf0zt95dtX5/Om/u7sLpQEAALix8BuOAAAAAAAAAAAAAAAAALSNDUcAAAAAAAAAAAAAAAAA2saGIwAAAAAAAAAAAAAAAABtY8MRAAAAAAAAAAAAAAAAgLax4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBtbDgCAAAAAAAAAAAAAAAA0DY2HAEAAAAAAAAAAAAAAABoGxuOAAAAAAAAAAAAAAAAALSNDUcAAAAAAAAAAAAAAAAA2saGIwAAAAAAAAAAAAAAAABtY8MRAAAAAAAAAAAAAAAAgLax4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBtbDgCAAAAAAAAAAAAAAAA0DY2HAEAAAAAAAAAAAAAAABo27puODLG3GeMeckY87Ix5uccPt9jjPlrY8w/G2NOGWO+ez3KCQAAAAAAAAAAAAAAAKBs3TYcGWO8kj4i6W2SXi/pB4wxr29I9n5JH7fWfqOkd0n6r2tbSgAAAAAAAAAAAAAAAAC11vM3HH2zpJetta9Ya3OS/kTSgw1prKTY0s9xSVfWsHwAAAAAAAAAAAAAAAAAGqznhqNdkl6reX9p6VitX5T0fxtjLkn6jKSfdMvMGPOjxpiTxpiTk5OT3S4rsGUxdoDOMHaAzjF+gM4wdoDOUIe6FgABAABJREFUMX6AzjB2gM4xfoDOMHaAzjB2gM4xfoDOreeGo3b8gKT/bq3dLem7Jf0PY4xjma21v2utPWytPTw4OLimhQQ2M8YO0BnGDtA5xg/QGcYO0DnGD9AZxg7QOcYP0BnGDtAZxg7QOcYP0Ln13HB0WdJNNe93Lx2r9SOSPi5J1tq/kxSStH1NSgcAAAAAAAAAAAAAAACgyXpuOPqypH3GmL3GmICkd0k60ZDmoqR7JckYc6fKG474PWYAAAAAAAAAAAAAAADAOlm3DUfW2oKkn5D0l5JelPRxa+0ZY8xxY8yRpWQ/LenfGmOek/THkn7YWmvXp8QAAAAAAAAAAAAAAAAAfOt5cWvtZyR9puHYYzU/vyDp29a6XAAAAAAAAAAAAAAAAACcreefVAMAAAAAAAAAAAAAAACwybDhCAAAAAAAAAAAAAAAAEDb2HAEAAAAAAAAAAAAAAAAoG1sOAIAAAAAAAAAAAAAAADQNjYcAQAAAAAAAAAAAAAAAGgbG44AAAAAAAAAAAAAAAAAtI0NRwAAAAAAAAAAAAAAAADaxoYjAAAAAAAAAAAAAAAAAG1jwxEAAAAAAAAAAAAAAACAtrHhCAAAAAAAAAAAAAAAAEDb2HAEAAAAAAAAAAAAAAAAoG1sOAIAAAAAAAAAAAAAAADQNjYcAQAAAAAAAAAAAAAAAGgbG44AAAAAAAAAAAAAAAAAtI0NRwAAAAAAAAAAAAAAAADaxoYjAAAAAAAAAAAAAAAAAG1jwxEAAAAAAAAAAAAAAACAtrHhCAAAAAAAAAAAAAAAAEDb2HAEAAAAAAAAAAAAAAAAoG1sOAIAAAAAAAAAAAAAAADQtq5sODLGRI0xnqWf9xtjjhhj/N3IGwAAAAAAAAAAAAAAAMDG0a3fcPRFSSFjzC5Jn5P0Q5L+e5fyBgAAAAAAAAAAAAAAALBBdGvDkbHWpiS9XdJ/tdZ+v6TRLuUNAAAAAAAAAAAAAAAAYIPo2oYjY8y3SvpBSX++dMzbpbwBAAAAAAAAAAAAAAAAbBDd2nD0U5J+XtL/ttaeMcbcKumvu5Q3AAAAAAAAAAAAAAAAgA3C141MrLV/K+lva96/Ium93cgbAAAAAAAAAAAAAAAAwMbRlQ1Hxpi/lmQbj1tr7+lG/gAAAAAAAAAAAAAAAAA2hq5sOJL0MzU/hyS9Q1JhuZOMMfdJelKSV9LvW2v/s0OahyX9osobmp6z1v6rbhQYAAAAAAAAAAAAAAAAwMp160+qfaXh0P8xxvxjq3OMMV5JH5H0FkmXJH3ZGHPCWvtCTZp9kn5e0rdZa2eNMTu6UV4AAAAAAAAAAAAAAAAAnenWn1TbVvPWI+mbJMWXOe2bJb1srX1lKY8/kfSgpBdq0vxbSR+x1s5KkrX2ajfKCwAAAAAAAAAAAAAAAKAzni7l8xVJJ5f++3eSflrSjyxzzi5Jr9W8v7R0rNZ+SfuNMf/HGPP3S3+CzZEx5keNMSeNMScnJydXXAHgRsXYATrD2AE6x/gBOsPYATrH+AE6w9gBOsf4ATrD2AE6w9gBOsf4ATrXrQ1Hd1prb7XW7rXW7rPWvlXSl7uQr0/SPknfKekHJP2eMabPKaG19nettYettYcHBwe7cGngxsDYATrD2AE6x/gBOsPYATrH+AE6w9gBOsf4ATrD2AE6w9gBOsf4ATrXrQ1Hzzoc+7tlzrks6aaa97uXjtW6JOmEtTZvrT0v6azKG5AAAAAAAAAAAAAAAAAArAPfak42xgyr/GfQwsaYb5Rklj6KSYosc/qXJe0zxuxVeaPRuyT9q4Y0n1L5Nxv9oTFmu8p/Yu2V1ZQZAAAAAAAAAAAAAAAAQOdWteFI0ndJ+mGVfzvREzXHFyT9QqsTrbUFY8xPSPpLSV5Jf2CtPWOMOS7ppLX2xNJnbzXGvCCpKOlnrbXTqywzAAAAAAAAAAAAAAAAgA6tasORtfajkj5qjHmHtfaTHZz/GUmfaTj2WM3PVtKjSy8AAAAAAAAAAAAAAAAA62y1v+FIkmSt/aQx5nskjUoK1Rw/3o38AQAAAAAAAAAAAAAAAGwMnm5kYoz5bUnvlPSTkoyk75d0czfyBgAAAAAAAAAAAAAAALBxdGXDkaS7rbXvljRrrT0m6Vsl7e9S3gAAAAAAAAAAAAAAAAA2iG5tOEov/TdljNkpKS9ppEt5AwAAAAAAAAAAAAAAANggfF3K52ljTJ+kX5X0T5KspN/vUt4AAAAAAAAAAAAAAAAANohubTj6FWttVtInjTFPSwpJynQpbwAAAAAAAAAAAAAAAAAbRLf+pNrfVX6w1mattYnaYwAAAAAAAAAAAAAAAAC2hlX9hiNjzLCkXZLCxphvlGSWPopJiqyybAAAAAAAAAAAAAAAAAA2mNX+SbXvkvTDknZL+nVd23C0IOkXVpk3AAAAAAAAAAAAAAAAgA1mVRuOrLUflfRRY8w7rLWf7FKZAAAAAAAAAAAAAAAAAGxQni7ls9sYEzNlv2+M+SdjzFu7lDcAAAAAAAAAAAAAAACADaJbG47+jbV2XtJbJQ1I+iFJ/7lLeQMAAAAAAAAAAAAAAADYILq14cgs/fe7JX3MWnum5hgAAAAAAAAAAAAAAACALaJbG46+Yoz5nMobjv7SGNMrqdSlvAEAAAAAAAAAAAAAAABsEL4u5fMjku6S9Iq1NmWMGZD0r7uUNwAAAAAAAAAAAAAAAIANoisbjqy1JUn/VPN+WtJ0N/IGAAAAAAAAAAAAAAAAsHF060+qAQAAAAAAAAAAAAAAALgBsOEIAAAAAAAAAAAAAAAAQNvYcAQAAAAAAAAAAAAAAACgbavacGSMOWiM+XtjzGvGmN81xvTXfPaPqy8eAAAAAAAAAAAAAAAAgI1ktb/h6L9J+kVJByWdlfQlY8xtS5/5V5k3AAAAAAAAAAAAAAAAgA3Gt8rze621n136+deMMV+R9FljzA9JsqvMGwAAAAAAAAAAAAAAAMAGs9oNRzLGxK21CUmy1v61MeYdkj4padtq8wYAAAAAAAAAAAAAAACwsaz2T6r9sqQ7aw9Ya09JulfS/1pl3gAAAAAAAAAAAAAAAAA2mFX9hiNr7R+5HL9ojPngavIGAAAAAAAAAAAAAAAAsPGs9jccyRjzrcaY7zPG7Fh6f8gY80eS/s+qSwcAAAAAAAAAAAAAAABgQ1nVhiNjzK9K+gNJ75D058aYxyV9TtI/SNq3+uIBAAAAAAAAAAAAAAAA2EhW9SfVJH2PpG+01maMMf2SXpN0wFr76qpLBgAAAAAAAAAAAAAAAGDDWe2fVMtYazOSZK2dlXRuJZuNjDH3GWNeMsa8bIz5uRbp3mGMscaYw6ssLwAAAAAAAAAAAAAAAIBVWO1vOLrVGHOi5v3e2vfW2iNuJxpjvJI+Iuktki5J+rIx5oS19oWGdL2SHlH5z7QBAAAAAAAAAAAAAAAAWEer3XD0YMP7X1/Bud8s6WVr7SuSZIz5k6X8XmhI90FJvyzpZzstJAAAAAAAAAAAAAAAAIDuWO2Go3+21s47fWCM2bPMubskvVbz/pKkb2nI4w2SbrLW/rkxpuWGI2PMj0r6UUnas2e5SwOoYOwAnWHsAJ1j/ACdYewAnWP8AJ1h7ACdY/wAnWHsAJ1h7ACdY/wAnfOs8vy/qfxgjHmm4bNPrSZjY4xH0hOSfrqd9Nba37XWHrbWHh4cHFzNpYEbCmMH6AxjB+gc4wfoDGMH6BzjB+gMYwfoHOMH6AxjB+gMYwfoHOMH6NxqNxyZmp+3tfjMyWVJN9W83710rKJX0gFJf2OMeVXSv5B0whhzuLOiAgAAAAAAAAAAAAAAAFit1W44si4/O71v9GVJ+4wxe40xAUnvknSierK1CWvtdmvtLdbaWyT9vaQj1tqTqywzAAAAAAAAAAAAAAAAgA75Vnn+DmPMoyr/NqPKz1p63/L3jVlrC8aYn5D0l5K8kv7AWnvGGHNc0klr7YlW5wMAAAAAAAAAAAAAAABYe6vdcPR7Kv/ps8afJen3lzvZWvsZSZ9pOPaYS9rv7KyIAAAAAAAAAAAAAAAAALplVRuOrLXHulUQAAAAAAAAAAAAAAAAABvfqjYcGWM+3Opza+17V5M/AAAAAAAAAAAAAAAAgI1ltX9S7Ss1Px+TdHSV+QEAAAAAAAAAAAAAAADYwFb7J9U+WvnZGPNTte8BAAAAAAAAAAAAAAAAbD2eLuZlu5gXAAAAAAAAAAAAAAAAgA2omxuOAAAAAAAAAAAAAAAAAGxxq/qTasaYBV37zUYRY8x85SNJ1lobW03+AAAAAAAAAAAAAAAAADaWVW04stb2dqsgAAAAAAAAAAAAAAAAADY+/qQaAAAAAAAAAAAAAAAAgLax4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBtbDgCAAAAAAAAAAAAAAAA0DY2HAEAAAAAAAAAAAAAAABoGxuOAAAAAAAAAAAAAAAAALSNDUcAAAAAAAAAAAAAAAAA2saGIwAAAAAAAAAAAAAAAABtY8MRAAAAAAAAAAAAAAAAgLax4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBtbDgCAAAAAAAAAAAAAAAA0DY2HAEAAAAAAAAAAAAAAABoGxuOAAAAAAAAAAAAAAAAALSNDUcAAAAAAAAAAAAAAAAA2saGIwAAAAAAAAAAAAAAAABtY8MRAAAAAAAAAAAAAAAAgLax4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBt67rhyBhznzHmJWPMy8aYn3P4/FFjzAvGmFPGmGeMMTevRzkBAAAAAAAAAAAAAAAAlK3bhiNjjFfSRyS9TdLrJf2AMeb1Dcn+WdJha+0hSZ+Q9CtrW0oAAAAAAAAAAAAAAAAAtdbzNxx9s6SXrbWvWGtzkv5E0oO1Cay1f22tTS29/XtJu9e4jAAAAAAAAAAAAAAAAABqrOeGo12SXqt5f2npmJsfkfQXbh8aY37UGHPSGHNycnKyS0UEtj7GDtAZxg7QOcYP0BnGDtA5xg/QGcYO0DnGD9AZxg7QGcYO0DnGD9C59dxw1DZjzP8t6bCkX3VLY639XWvtYWvt4cHBwbUrHLDJMXaAzjB2gM4xfoDOMHaAzjF+gM4wdoDOMX6AzjB2gM4wdoDOMX6AzvnW8dqXJd1U83730rE6xpg3S/qPkr7DWptdo7IBAAAAAAAAAAAAAAAAcLCev+Hoy5L2GWP2GmMCkt4l6URtAmPMN0r6HUlHrLVX16GMAAAAAAAAAAAAAAAAAGqs24Yja21B0k9I+ktJL0r6uLX2jDHmuDHmyFKyX5XUI+nPjDFfNcaccMkOAAAAAAAAAAAAAAAAwBpYzz+pJmvtZyR9puHYYzU/v3nNCwUAAAAAAAAAAAAAAADA1Xr+STUAAAAAAAAAAAAAAAAAmwwbjgAAAAAAAAAAAAAAAAC0jQ1HAAAAAAAAAAAAAAAAANrGhiMAAAAAAAAAAAAAAAAAbWPDEQAAAAAAAAAAAAAAAIC2seEIAAAAAAAAAAAAAAAAQNvYcAQAAAAAAAAAAAAAAACgbWw4AgAAAAAAAAAAAAAAANA2NhwBAAAAAAAAAAAAAAAAaBsbjgAAAAAAAAAAAAAAAAC0jQ1HAAAAAAAAAAAAAAAAANrGhiMAAAAAAAAAAAAAAAAAbWPDEQAAAAAAAAAAAAAAAIC2seEIAAAAAAAAAAAAAAAAQNvYcAQAAAAAAAAAAAAAAACgbWw4AgAAAAAAAAAAAAAAANA2NhwBAAAAAAAAAAAAAAAAaBsbjgAAAAAAAAAAAAAAAAC0jQ1HAAAAAAAAAAAAAAAAANrGhiMAAAAAAAAAAAAAAAAAbWPDEQAAAAAAAAAAAAAAAIC2seEIAAAAAAAAAAAAAAAAQNvYcAQAAAAAAAAAAAAAHdp10x4ZY1b92nXTnvWuCgAAbfOtdwEAAAAAAAAAAAAAYLO6cuk1vfN3nl11Pn/67+7uQmkAAFgb/IYjAAAAAAAAAAAAAAAAAG1jwxEAAAAAAAAAAAAAAACAtrHhCAAAAAAAAAAAAAAAAEDb1nXDkTHmPmPMS8aYl40xP+fwedAY86dLn/+DMeaWdSgmAAAAAAAAAAAAAAAAgCW+9bqwMcYr6SOS3iLpkqQvG2NOWGtfqEn2I5JmrbWvM8a8S9IvS3rnaq5bKJR0ZiyhsURGI/GwRkdi8vnq912VSlavTic1MZ/RUCykWwai8niM4+c7eoJKF4q6NJvWzr6weoM+jc9ntKs/pKvzOY3PZ3RTf1jFktWVREa7+kLyyOi1ubRu2hZWvmA1lshoOBZUOODVq9Mp3dQXlvFIV+Yy2rs9rPl0UePzWY3Eg/J7Pbo4k9be7RGlc+XjQ7Gg4mGvzk6ktKc/rHyxpLH5rHb1hWQkXZrLaM+2peOJ+nxetyOihUxRE/NZ7YyH5DXSa3MZ7e4LqaRyGYZiQQ3FvHr+ckq3D0U0myqnv6k/pGJJupLIaCQeVMDr0YWZtPYPRZRIl9NU8plN5RQL+TW5kNWO3nJdz0+ldOv2iJK5ctraMtaW5ab+kAolaSxRLsuOXq++Np7W7UNhTS6Wz6203/mplEbiQUWDXl2YTuvmgbAWM+V2qm3j3X0hSUaX5tK6dXtEi9lyPrv6QvKYa22WW7o/u/tDsla6XGkbq+r99Jry/ay9tyOxkAZjAV2ezWhnX0hzybzG5jN1fWRHb1CzqbzGEuU0PnPt3IM74woEvHX99eaBsLJ5q/H5jAZ7gvJ4pP5IQMWSdHXBua92UyZT0PNjiWpbHhyJKxRatykEWLW5dEZnx5OaWJpH9w9H1RcOrUtZlos7qznPKU2pZHVmLKHpZFaxUEC5QknD8ZD29Ed0aS6l6cWcMoWisvmSbh6Iau929zg4FAtpdzysF8fnNZnMalskoHS+qFyhpP5oUIlUViG/Vx5jdHUhq919YclIC5mCFjIFbYv6FQ36VCxZJbN5+b1eTSxkNRANqDfkU65Q0mw6p96gX1OLWQ3HQiqUSipZqVC0SuUKikcCSufyCvq86g35tZApaDqZ01AsqLDfo1SupOnFnHqCPvVHfMoUSppN5RUP+TWTymlbNKBkrqBY0C+vka4mc+oL+zW9mNVAT1DpXF69oYCK1mo2mVdfxK9kNq9o0K/ZVF6DPQEVSyVNLeY12BtQNODVQragbMFqMVPQjt6gfB6jy4m0BqIBBbwejS/VcTge1Gwyr/lMQelcQdt7gsoVS5pPF9Qb8ildKGhbJCBbkqZTOfWHA5rP5BUJ+LQt6tVcqqipxZxiIZ92xkO6aVtUl+ZSmpjPKpkr6OZtzfdvtf2y0/7aiVLJ6uJMslqf2wajmlzIaSaVU3/Yr3zBaiQe1Hy2oEQ6r0y+pJF4SAGfqmuRoVhQIb9Hs8mcIgGfplM5bYuU27E/HNBiNi+vx6OeoFfZQrnt4xG/Eum8ekM++TyS3+tVsWR1dSGrkXhYdw716lIirYn5jCIBn9L5vIJer5K5ohazBQ3FymutxWxBM8mctvcElcoV5Pd45PMahQNelUpW6XxJ08mchmPltctcKq9EuqBIwKueoE8LmbxiYb+sla4uZBUJeBUOeBX2e5XJFzWbzCse8atQLMrn8WpysVzfoM+juVRB6XxR26J+lWxJRp5qXxno8WsxW9LUYlbxiF/ZfFGRQPl6g71B5QtWk9XPCuoNBpQrFjWfKag/ElAqV1As5FPJGk0uZNUT8qk36C3X0evVQjavsN+ndL6gnmC5LcN+r7weKez3SirPB31hv+YzeUVDXgU9Xo0vZKpt5TUeRYNeDcYCmksWlMjklcoW1Rv2qVAqKuzzaTaVV0/QJ2tLigb8SuWL2tEbktcjTS5mFfB6lCuWFPB6lMwW1RPyKV8oqWiLkjyaS5fngXyxqJDfp5lkVkMx5+eDbvbptRo/nap71llqz/KzU6hu3bk7HtbZyQUl0uV7Ewv7lckXFA36FPJ7lcoV5TFGM8mshuNh9UV8mprPaTFXUNGWFPb5NJ8pqDfkVSTgU65YlN/jUa5YHmuDPQEFvR5dXcyqLxJQOl9Q2O/TdDKrbZGgkrm8BiJB5UvXnqeiQa8S6UJ1XHk95T7aG/IrWygoFvLX9dtY0KfJZFZDvUFl8iVNLebUH/HL5zWaSeYUDvgUC3pVKEnTydp8lsZEuqhY2KfekE/ZfKk89+eLGugJaiGTk8d41BP0aT6TV8jvVU/AK4/HaDFb1ORCVtt7gsrkC+qPBpQrlNf5u+IhWZWfn/rCAZVkq887w31BXZ0rt2EmX9Le7VHtHYjqwkxKF2aSigZ8GooFNdwT0unxeY0nMtoRC6on6NXFmbR294dVslZTi9fi/1CsfsykcsVln4EbP6/9rHIvB3uCXX1OWevYs5L4V3u8cZxU0rT6HqLd6+2Oh3VuckGzqbwWswXFw37Fwz6lcyWl8uV1TDJXVDToU8mW5DFGqVxRO3qCKtiiZlMFTS/mtL03qOFYUEPRpX4yn9FAT0A+j+Q1Hu2IBzQxl9PkYlY9QZ+CfiOf8Wg6mdNANFCNdQPRgBay5fjXGyqvr2aS5TEkSel8QdFAea3UG/Iq7PNqOp1TxO9TrlBUOODT1GJW/dGAogGPsnmrZK6gSMCnRDqv+NJarD8akM9j5PMY5Yu2Gts9RppczGmoN6hkvqh0tqi+iF9FW5Tf41MyV1AqV9RANKBY2FtX/0KxIK/HK2NK8qi89tzRW/5OY3Ixq3i4vO4ciV0bj5GAT8mleidzRS3mChqMBuTzeDQ+n1E44FUkUI51faGAbtoW1YXppMbmM1rMFhQL+xQP+2VL0kwqp3S+qJ3xsO4cLveFQqGkF8YSupLIqDfoUzjg1bZoQHu2bbw44WYjPV9tdbT12ljLduaero1EOqOXatr59uGo4rRz19GfgY3vRhynN1qdqS/rNqBd3ejT67lb4JslvWytfUWSjDF/IulBSbUbjh6U9ItLP39C0m8ZY4y11nZywUKhpE89d1nv/9RpZfIlhfwePf7QAT30Dbvqvuz77JlxPfrxr1bTPPHwXbpvdLj6pV/j54/cu08f+7sLmk3l9Mi9+3RufF7fctt2HT1xRv2RgN79rTfryWfO1aX/i+fH9LaDI3XHjz4wqs+dHtM33zqgJ585p/07evQD33Kzjj11pi7Nl1+Z0uKt2+uOHz8yqhevzOnSbKTpWv/4yrTeemCkKZ+x2UWlcwU9duLMsmU7fmRUg71e/fPFeT3mUq+jD4zq7NicUrm+urr/yZcv6p2H9+jDX7iW9tiRUV2eWVQqV9DRE2cc69qqLPGw0Zdfna8r+9EHRvXH/3BBZ68uVtvpjQ3tVJumcq+SDvdqJfet8f5Xfj52ZFRfuzKn/SN9bdWr9tzjDx7QA6PD+vMXxvX+T5127QteY/XYiRcc+2o3ZTIFnXh+TI+dOF1zHw7oyMERNh1hU5pLZ/S505NNffqtBwbXfHG4XNxZzXlOaX7nh96gyYWcfvML55rm5scfOqBSqaTpZL5uflouDh5/8IA+/uULeuDQLp2bWKw7931v3q+w36P/9BdfU38koB//l7dpIVOoS3PsyKgGewOaWsjVzevHjozqz05e1D13DOvDXyjPzf/+O26VJCVzxabrfP6FMX3/4T06euJM3X39+MkLOnkhocM3x/X9h/fov/7Ny011P3r/qD7yT+d05Bt2KZ0v6Tf+6mz1s/fes09/evKifvBbblbQ69F7/+Sfq5/9/H136MJ0Uk98/lr6Dz54QOlcQf/pL77WMlYEfEY//ZbbdXku7Rp7Ktf+kW/bu1Su8rVvHgjrx79zX10ffuTefdqzLaLpxWzdtTuJDW796613DulzL06suL92olSy+sJLE9U+9a17t+m+gyN196/SJxr7w/EjB/SRvzmnC9Nphfwe/dLbD2p6Madf+9xLTW37zsN79KcnL+pdb9yjaMCr//a3r2g2lat+/lNv3q98oVTtmzcPhPXj/3KfHvv06er7n3rzfo0nMnVl+OCDB/Rbf32tDJX83vXGPbp9uEcT87lqXL95IKz/5ztfV9d3H7l3n4bjIU3MZ+pi/S+87Q6FAz59oOb6tefePBDWj33H6xrWidfaw+nzStne8+236tXplH71L5vb6V1v3FPtwz/z1tsV8Jq6fvYLb7tDIb9XH1m6P5W2rR1nj9y7T9GAt7wBLFWoG2e1Y6T2mrduj+jSXKauTEfvH9Vvf/FMtW3L709X3//C2+5QOl/SH/3jhaYy/Nx9d6g/6tcTnz/rWs7G54Nu9ulO5vu15Pas47R2/ZXvO6TJhaxjf/m3/9etSmaL1Xt880BYP/2W/bo8l3F8NvjggwcUC3mUSBebnk0q8+WPvel1Ovb0P9XNvy9frZ9/jx8Z1Uf+5mXlClbv+b/21pXt5++7Q9liffpH7t2nnfGgXlzMOT7jlOfa19WVqRzX0nX9/5feflCTC9m6vN/35v36o3+8oHe9cY+GYyH9z384p3/z7bdqMVuszh9OcdLpGcQpZlQ+/9BDB/XhL5yt9v/HHxpVqWTq4sOxI6P6h69Pad9wzLH9H33LfgW9Hv3SZ51jR6u+K6nps9o6daOvr+XYWWn8qz3udP+eePguvfn2HTrx/BXH7yE8HtP29ZzWF4++Zb96g17lCrbu/pXnxZd1YTqtwzfH9fDhPXX9+JffcVC5gq3GksrzZTRg9MpUsq6sj9y7TwNRvwolq3NXm9d5n39hTO/4pj069lTr7wAq/ewPnj3v+P3AMy+O6V/ePqLf/uIZx8/DAa/+v5845fr9SWXMPvqW/boyN99yHB+9f1R//dKY7r1zpC72Vsr4k3/8z451aTVGK2u84XhIxVJSZycXdWE6VTcvOM0VH/reg/qe1w/r6TNjTe3eG/JpOL6oe24f2jBxws1Ger7a6mjrtbGW7cw9XRuJdEZ/6dDO33VgkE1HXUR/Bja+G3Gc3mh1pr6s24B2datPr+efVNsl6bWa95eWjjmmsdYWJCUkDXR6wTNjieoXOJKUyZf0/k+d1pmxRDXNq9PJ6pd6lTSPfvyrenU66fr5k8+c09vfsLv68/e98do/dr79DburX0bVpn/Pm25rOn7sqTP64W/fWz3+njfdVv3HoNo03/fGPU3HHztxRt91cJfjtX742/c65vNt+4aqX7otV7bHTpxRNBCqpneq17GnymVorPv9h3ZVvyyspD16onz9SlqnurYqS38k0lT2Y0+d0XvedFvLdqpN0+pereS+Nd7/ys9Hl+5Ju/WqPfexT5/W8+Pz1f7q1hciAb9rX+2m58cS1cnm2n04redrxg6wmZwdTzr26bPj3R8/y1ku7qzmPKc0C+mi3v+p045z8/s/dVqRgL9pflouDj726dN69923ajqVazr3N/7qrKaSuercenUh25Tm6Ikz8nk8TfP60RNn9O67b62W8+1v2K2pZE5TSefrvPvuW6tzerVsJ8plk1T93Knux54uX2sqmav+A3nlsw9/oRzLnvj8WU2ncnWfTady1X80qhz7wKdPV+tcOeYUK+4/tEsvTy62jD2VazeW6/5Du5r68JPPnNNLEwtN1+4kNrj1rzNjiY76aydenU7q1KVEtU1++Nv3Nt2/Sp9oXiuU+3jl/fmpZHWzUeVYpW0r/33ymXOaSuaq96ly/PxUsq5v3n9oV3WzQOX9+alkUxk+8On6MtRex+fx1MX1+w/tauq7Tz5zTuenkk2xfiqZq/4DsdO59x9qXnvUtofT55WyTS5e2zziVO5K2/za515q6mdTyfKGjdo2bRxnlTaOBPxN46w2/9pr5otqKtOxp8/UtW3j+8p4cSrDf/7s1/T1yWTLcjY+H3RLp/P9WnJ71nFau758ddG1v1xdyDbNWS9PJl2fDT7w6dOKhYOOzyaV+fLY0/WfOc2/lT749jfsbiqbU/onnzknr8fr+oxTnmvrr1sb1yrHzk8lm/Ku9MEnnzmn89NJvfvuW1UqqW7+cIqTbs8IjTGj8vl//NTzdf0/5PM1xYejJ8rPRm7t7xTflov9lc+dPnNqo9X09bUcOyuNf7XHne7fox//qk5dcf8eYiXXc1pfPPH5sxqbzzbdv9p58d1339rUj78+mayLJZl8+fmyLxJsKuuTz5xTJODX+HzzGq6y/qrElVbfAVT6mdv3Az/4L/ZWy+30+ctXF5vKW/v9iVQes1+fTC47jo89Xb5eY+ytHQtOdWk1Rmtjd8jnU75gm+YFp7niP/7v5/W8w3dVTz5zTlcXsjp1KbGh4oSbjfR8tdXR1mtjLduZe7o2XnJp55do566iPwMb3404Tm+0OlNf1m1Au7rVp9dzw1FXGWN+1Bhz0hhzcnJy0jHNWCJTbbCKTL6k8USm+n5i3jnN1YVMy8+Nufbz1EK2msYYOaZPL/0a/Mbjc6l89Xg665xmajHreHxywblss8m8a51WUraJmvRu9Zp0SOOWtvb6bnV1Oz7RouzVdlpwbie3NLXlXOl9q73/tT+73ZN28pmYzy7bPsmlutQeq/TVdrUzdsbnndtyYj67omsBG8VEF/p0O2OnvbK0jjurOc8pTXJpPnGb55Iu881ycTCdK6hknfMsLf1eQmPkmsYtVtXOl5Xz3fJwjSVLc2V6mbq3qkPlnFLD71hcrs6NedT+3NgebuVyaje3tJX2aTy+0tjgdp/d1lLXI/ZMzGfq6l3pI43xutU9q1juvtbe38b7tFzbt1uG2uvMNPT3VvezMda3U55WZVlJP3Nqp9qyOZVrufVfycp1nmls+1ZzklPbupXFqQzLlbP2+aBbOp3va3Ur9rhxneMd7kOr/uLUT5e7L5Mua/fKfLmS668kfbIhzrQ7NtstSyV9Oldw7c+1cbJVndqZa9yuMb30DNlundqJ/VcXMq6fdSMWVXRj7Ejtx56VxL/a467ziUue4wn39nO7nlO7usX+Sr9YyfhtjE+V48kWa6TGtVq782/jZ05xfrm6zznE03bXTI3nNl7HqS7Lxdja2O00Ft3a0O15u3JvOx073dLe2OE7g7VCW6+NbrUz42fjoJ3XxlqOHQDNiDvObrQ6U1/WbUC7utWn13PD0WVJN9W83710zDGNMcYnKS5p2ikza+3vWmsPW2sPDw4OOl5wJB5WyF9f5ZDfo+H4tV8JNRQLOabZ0Rtq+Xnlj7yF/B4N9gbr0jiljwR8jsf7Iv7q8UjQOc1gT9D5eK9z2bZF/Y7H3eriVrbG9G7t5JTGMb+atG51dTvuVvZwwFfTHs7t1CpNp/et9v7X94WVtXHtuUOx4LLtEw34mo5V+mq72hk7wzHnthyKBVd0LWCjGOpCn25n7LRXltZxZzXnOaWJhq7NJ47zSsh5vlkuDkYCPnmNc561fwHCLU2/S6xqnC+9xj0Pt7myMu/Xfu6Wzi1va5vr0qo+jencYkXj+W7XdruO03Wdrr3S2OB2n0finfXXRu2Mn6FYqK7eteuZxj7RKqYul6bx/jbep3bavp0y1F7HbW3W+N5j1BTr2+0Ly5XF6fN22qm2bG7lajXOPEau80xj27eak5zatlVZGsuwXDlrnw+6pdP5vla3Yo8b1zneYX5t1V+cPlvuvrit3Wv7RbvXX0n6aEOcaXdstluWSvpwwOfan2vza1WnduYat2sM1DxDthu3lov9O3pDrp91IxZVdGPsSO3HHuf45/xdQmNcdJxPXPIcjru3n9v1nNrVLfZX+sVKxq9bfIq2WCM1rtVWMv+6Xbvduvc5lLfdOOl0rtt4XO4eN8bHqMt4dyub2/N25d52Ona6pb2xw3cGa4W2XhvdamfGz8ZBO6+NtRw7AJoRd5zdaHWmvqzbgHZ1q097lk9y3XxZ0j5jzF5jTEDSuySdaEhzQtL/Z+nn75P0BWtrv05dmdGRmB5/6EDdl0aPP3RAoyPxappbBqJ64uG76tI88fBdumUg6vr5I/fu0//6p0vVn//syxd17MioQn6PPvmVS3rk3n1N6X/vi19vOn70gVH99y+drx7/vS9+XUcfGG1K82dfvth0/PiRUf3l85cdr/WHXzrvmM+Xzk7o+JHRtsp2/MioktlMNb1TvY4+MKrPPn+5qe5PPXdZ772nPu2xI6P60rmJalqnurYqy2wy1VT2ow+M6ve/+PWW7VSbptW9Wsl9a7z/lZ+PLd2TdutVe+7xBw/o4PC1/urWF1K5vGtf7aaDI3EdP3Kg4T4c0MGasQNsJvuHo459ev9w98fPcpaLO6s5zylNb8irxx864Dg3P/7QAaWy+ab5abk4ePzBA/ros69oWyTQdO773rxf26OB6tw62BtsSnPsyKgKpVLTvH7syKg++uwr1XJ+8iuXNBANaCDqfJ2PPvtKdU6vlu3IAX3s2Vckqfq5U92P3j+qjz37igaiAb3vzfvrPnvvPfv09KnLevQt+zUQCdR9ti0S0KNvqU//wQcPVOtcOeYUK5567rJuG+xpGXsq124s11PPXW7qw4/cu0+3D/U2XbuT2ODWv0ZH4h31107cMhDVwd3xapv84ZfON92/Sp9oXisc0NOnLlff37I9qp956+2ObVv57yP37tP2aKB6nyrHb9kereubTz13WccfPFD3/pbt0aYyfPDB+jLUXqdQKtXF9aeeu9zUdx+5d5/2bo82xfqBaEAfbLj+sYbyNa8Tr5XF6fNK2bb3BPWz3+XcTrV9+GfeentTPxuIBnS85v44jbNKG6ey+aZxVpt/7TX9HjWV6ej9o3Vt2/i+Ml6cyvBz992h2wajLcvZ+HzQLZ3O92vJ7VnHae16244e1/4y2BtsmrNuG4y6Pht88MEDmk9nHZ9NKvPl0fvrP3Oaf48fKfeFT37lUlPZnNI/cu8+FUtF12ec8lxbf93auFY5dsv2aFPe73vz/mo/3jsQ1ceefUUeo7r5wylOuj0jNMaMyucfeuhgXf/P5AtN8eHYkVF94ssXXdvfKb4tF/srnzt95tRGq+nrazl23ONfbNm46HT/nnj4Lh3aGXf9HmIl13NaXzz6lv0aiQWb7l/tvPjRZ19p6se3DkbrYknIX36+nEtlm8r6yL37lMrlNRRrXsNV1l+VuNLqO4BKP3P7fuD//fvzOnq/8zrt2JFRvW5HT1N5a78/kcpj9tbB6LLj+Oj9o/qff3++KfbWjgWnurQao7WxO1MoyO81TfOC01zxoe89qIMjzX3kkXv3aUdvUId2xzdUnHCzkZ6vtjraem2sZTtzT9fG7S7tfDvt3FX0Z2DjuxHH6Y1WZ+rLug1oV7f6tFnF/p1VM8Z8t6T/Iskr6Q+stR8yxhyXdNJae8IYE5L0PyR9o6QZSe+y1r6yXL6HDx+2J0+edPysUCjpzFhC44mMhuMhjY7E5fN56tKUSlavTid1dSGjHb0h3TIQlafmf3Or/Xx7NKhMoajLs2mNxEPqDfk1sZDRzr6Qrs7nNDGf0e6+sIrWaiyR0Ug8JK8xujSX1u7+sPLF8vHhWFDhgFcXplPa1ReWxyONzWV08/awFtJFTcxnNRwPyu/16OJMWnsHIkrnixqfz2ooFlQ87NXZiZRu6g+rUCxpbD6rnfGQPEa6NJfRnm1h5YsljSWyGo4FFfCV83ndjogWMuX8R+Ih+Yz02lxGu/pCspKuzGU0FAtqKObV6csp7RuKaC5VTr+7L6SSla4slT/o8+jCTFr7dkQ0v5RnJZ/ZVE6xkF+TC1nt6C3X9fxUSnu3R5TKldPWlrG2LDf1h1Qolf8k3lAsqB29Xr00nta+HWFNJcvnDsWCigS8enUqpaFYUD0hry5Op7VnW1iL2XI71bbxzr6QjIwuz6W1d3tEi9lr5fUY6fJcpnp/xhPl+yktHV+qd+V++jzl+1l7b4diIe2IBXRlrpxmLpnX+Hymro8M9gQ1m8pX+6Lfc+3cQzvjCgS8df11z0BY2bzV+HxG23uC8nmkvkhAxZI0uejcVxuH3GrGTiZT0PNjiWp7HxyJKxTyOaYFNoO5dEZnx5PVPr1/OKq+sOv/Pdxy/LQaO+1YLu6s5jynNKWS1ZmxhGaSWfWGAsoXSxqKhbSnP6JLcylNL+aUKRSVK5S0Z1tUe7e7x8EdvSHtjof14vi8JpNZbQsHlCkUlS2U1B8JKJHOKeT3ymOMJhez2hkPyxhpIVPQQragbRG/ogGfStZqMZuX3+vV1YWs+qMBxUI+5QolzaVz6gn6NbWY1XAspEKp/CcmCkWrVK6oeNivdL6ggNejWNivhUxB08mchnqDCgc8SuVKmknmFA361B/2lf9sRzqvWMiv2VRO26IBJXMF9Qb98hlpMplTPOzXdDKrgUhQ6XxBPSG/StZqNpVXX9ivZDavaMCv2XRegz0BFUtWU4s5DfYGFA14tZAtKFewWsgUNNgblN9jdDmR1kA0oIDXo4mFrLZFAxqOBzWbzGs+U1A6V9T2noByxZIW0gX1hHzK5ovqi/hlrTSdyqkvHNBCJq9IwKdtUa/mUkVNLebUG/JpZzykPduiujSX0sR8VqlcwfH+rbZfrrC/rir2lEpWF2eS1frcOhjV5EJOs6mc+sJ+5YtWw7GgFrIFJdLlP40yHA8q6DNKpK+tEUI+j2bTOUX8Ps2kcuoPB7SQzSseDiiZzcvr8agn4FW2WNJ8uqB42K9EJq/ekE9ejxTwelUsWV1dKK9R7hyK6VIirYn5jCJ+rzKFggJer5K5opLZogZ7Awr6PFrIFjSbzGkgWu5HXq9Hfo9ROOBVqWSVzpf75o7e8tplLpXXfLqocMCjnoBPC9lyP7WSJheyCge85Zffq0y+qNlkXvGwX4VSUT6PV5OLWQ31BhX0ezSXKiidL6o/4pdVSUaeal8Z6PErmS3/md542K9soaiIv3y97T1BFYpWkzWf9Qb9yhWLWsiU+2MqV1As5FPJGk0tZhUN+tQT8CqdL8jn9SqZzSvk9ymTLyga9Gs+nS/PAx4p4vNKxujqYlbxkF8Lmbx6gl4FvF6NL62tU/mCvB6Pon6vBuMBzSULSmTySmeL6gn5VCqVFPSX2ysa9MnakiIBv9L5onb0huT1SFOLWfm9HuWKJQW8HqVyRUUDXuWLVkVblOTRXDqveMivQrGooN+nmWROQ7Gg4/NBt3Rz/Kw29rRTxsGecnuOz2c0HAvVrTt3x8M6O7mgRDqvVLaoWNi/dM99Cvm9SueLMjKaSeY0HAuqL+rX1HxOyVxBRWsV9Hm1mCkoGvIqGvApVywq4PEoWyyPtcGegIJej64uZtUXDihdKCjsWxrDkYCSubwGIkHlS7b6nNAT9CqRLseA4VhQXo/R5EK532cLxWq/nVzIqifkUyzo02Qyqx09QWULJU0nc+qL+OXzGM0k8woHvIoFvSqUpOlkbT5+5Zbmi1jIp56leLW49CeUBqLlOcZjTHUsB/1eRQNeeT1Gi9miphazGogGlckX1B8NKFcor/N3xa89P8XDAVlZXZ0vj+3h/qCuzuW0uPQnrPZuj2rvQFQXZlK6OJNUJODTUCyo4Z6QTo/Pa3w+U55fgl5dnElrd19YJVlNL16L/41jJpUraijW+hm4se9WPpuYzygS8CpfLGl7T3Alzykr6pdrEXtWEv9qjzeOk0qaVt9DtHu93fGwzk0uaDaVVzJbUCzsVyzsUyZXUjpfXsek8kVFAl5Za2WMUSpX1GBPUEVb1GyqoOnFnAZ7ghqKBzUUvdZPBqIB+byS13i0Ix7QxFxOk4tZ9QR9CvqNfMaj6VROA5GAkrmiFrMFDUQDSmYL8nk9ioV8yhRKml0aQ5KUzhcVDfg0m8qrN+RV2OfVTDqnsN+nXKGosN+nqWRW/ZGAokGPsnmrZK6gSMCnxNL8PJPKKh4OyO818nmM8kWriYXyePAYaXKxvN5L5YtKZcsxqmiL8nt8SubKa6tt0YBiIa9m0+X6b+8JqlAqyuvxyBgrI48mF7Ia7A0q4PWU41+ovA4cji2Nx6U1RLJS76V4P9Djl9/j0cR8VqGAR+GAV14j9YUD2rMtqgvTSY3NZ7SYLag35FM87JesNJPKKZMrabgvqNcPl/tCoVDSC2MJjSWyigbL80V/tJzPasZOBzqOPSt8vsIq0NZro5vfGUiMn40gkc7opZp2vn04qjjt3HVrOXaqmRijd/7Osx2Utt6f/ru7tZ7/XobNb437Iuu2FbjR6kx9WbcB7erG+FnXDUfXy/X68h3Y5LryAAfcoNblH32BLYDYA3SO2AN0htgDdI7YA3SG2AN0hg1H2FI2y4Yj4AbHug3onOP4uT7/6y4AAAAAAAAAAAAAAACALYkNRwAAAAAAAAAAAAAAAADaxoYjAAAAAAAAAAAAAAAAAG1jwxEAAAAAAAAAAAAAAACAthlr7XqXoeuMMZOSLqx3OZaxXdLUehdiDd1I9d2odZ2y1t7XKkGbY2ej1Y/yLG+jlWkzlqfl+OlC3NlobdKJzV6HzV5+aWPWoRuxZyPWq9FmKKO0OcpJGa+53rHnetoM99HNZi67tLnL362yd+u5p5tlWk9boQ7S1qjHZqhDN2LPZqhno81YZmlzlnurlnmrfufWDsq8NrZqmbfq2KE8rW208kgbr0xr9X31Rqv3WrjR6kx9mxF71gblaW2jlUdaxfjZkhuONgNjzElr7eH1LsdauZHqu9XrutHqR3mWt9HKRHk2ZhlWa7PXYbOXX9oadXCyGeq1GcoobY5yUsatYTO30WYuu7S5y78Ry74Ry7RSW6EO0taox1aoQzs2Yz03Y5mlzVluyrxxrtUtlHltUOaNc612UJ7WNlp5pI1XprUqz0ar91q40epMfbfGtdpBeVqjPMtbTZn4k2oAAAAAAAAAAAAAAAAA2saGIwAAAAAAAAAAAAAAAABtY8PR+vnd9S7AGruR6rvV67rR6kd5lrfRykR5mm2EMqzWZq/DZi+/tDXq4GQz1GszlFHaHOWkjFvDZm6jzVx2aXOXfyOWfSOWaaW2Qh2krVGPrVCHdmzGem7GMkubs9yUeeNcq1so89qgzBvnWu2gPK1ttPJIG69Ma1WejVbvtXCj1Zn6bo1rtYPytEZ5ltdxmYy1tpsFAQAAAAAAAAAAAAAAALCF8RuOAAAAAAAAAAAAAAAAALSNDUcAAAAAAAAAAAAAAAAA2rYlNxzdd999VhIvXrzqX8ti7PDi5fpqibHDi5fra1mMH168XF8tMXZ48XJ9LYvxw4uX66slxg4vXq6vZTF+ePFyfC2LscOLl+urJcYOL16ur2Uxfnjxcn052pIbjqampta7CMCmxNgBOsPYATrH+AE6w9gBOsf4ATrD2AE6x/gBOsPYATrD2AE6x/gBVmZLbjgCAAAAAAAAAAAAAAAAcH2w4QgAAAAAAAAAAAAAAABA29hwBAAAAAAAAAAAAAAAAKBtbDgCAAAAAAAAAAAAAAAA0Dbfel7cGBOS9EVJwaWyfMJae7QhTVDSxyR9k6RpSe+01r7a6TVLJatXp5OamM9oKBbSLQNReTym4zq0k1+hUNKZsYTGEhmNxMPqi/h0ZS6jHb0heT1aOh5SsSRdXajPpzb/nX0hXZ3Panw+q939IXk9RlfmynmOjsTk83mUyxV16kpC4/MZ7YyHFPR79NpMWrv7wypZqytzGe3qC6tYsro0l9ZNfWEZj3RlLqNbBsJayBSr+RsZXZpLayQW0sGdcQUC3hW3yXBvUDPpfLmOS/lIqpbx5oGwsrmSxuazGooFdXA4pnDYX5dHbdvUttlwLKSFTF5XEhnt7AurN+jTeIv0tT/XtrHb/XFL43atlfanlfad3f1hhXxeTS5mu9J3V6rbYwdYb3PpjM6OJzWxNP/sH46qLxxa72KtSKfjcrXjeSXnl0pWF2fK7ZzMFbR3IKqSLc+bkYBPuWJR2yJB+bzSeKKc5uZtUd28LaILMyldmEkqGvBpKBbUnm1RSdKr00kl0jkVS9J0MqttkYAWc3n1BPzKFAryejza3R/W1fmcZlM5xcN+JdJ5bYsElC8WJWO0kC6oN+xTNl/USDysVK6oS3NpDfUGFQl6VShaLWYK8vs8ms/k1Rf2y8oqm7dK5Yrqj/jl93p0ZS6t4XhIPq9RMlusxprLc2ktZAra2RfWHTt6dSmR1nQyq4DXo2S2qGiwvu7TizmlckUtZgu6aVtYQe+1+X5Pf0QXZ1NNMdGt7bfSfN1uXWrTRQI+lWxJHmOUyhVX1AaVuDudzCoeCmg+k1ck4NOO3qCMaV5DVK5d28dv3hbV3u3X+mql7Hv6l/r0dFKhgEdRv08y0kwyp0jAp5G+oGYX87q6kNX2noBS+aJSuaJu2RZVwRY1k8wrmS0qFvZrqCegTLGoqcW8Mvmibh2Iau9gT10dc7miXhif13wmL69HCvl8mlzMKhbyKRryaWYxq0jQJ6/xaGohq8HeoEIBj/IFq4VsQdl8UYO9oXI/DZfLc3EmpW09AW2L+OQ19WsSSbo4k9T0Yk6ZQrns8bBfO3qD2t13rQ/Xpq+0TzToU75Q0szSeN3RWx7vtW3c2JaN+a1m7ttKY6YbVtoe7bZr7X3rDfm0kCkokc5rZzyseMSnqwtZhf1epXJFJdJ5RQNe+bxGIb9X2XxJE0tjIxzwKJu3mk/nFQ/7tZDNKx4KyKoka43mls4N+b0KeD2aS+cU8Hk1n86rN1Sey+fTheo8Pj5ffk4plKxmkjlFQ175vR55ZDQ+X37m6Iv4dXUhW41bAa9XuWJRA9Fg2/NSJf3ueFgvTsxrOplVLBRQrlDSSPzac02rNX8nc6LbM9Bq7/tWtpHaou7Zuub5dyQe1p1D5fWF29zaOD83xqlSydY9B1e+U2inDUolqwvTSV1JpJXMFtQXCSibL2p3f0QlazU+n9FitqBowKeQ36PB3qAKRWkmlVXA49FMKqdo0KdowKuJ+ayiwfJab3dfRK9OJ/XqdFI9IZ8y+YKCvvKYzBaK8nm8SuUK2tMfkddrqv26ca1krXR1IVtdwxVtSWGfT8lcUb2hcswZX8hoV1+kqd6vzSY1kchqKpnVrr6I7hzq1WtzaV2YSSoe8ivk9yi5NE/Fw35FAl4tZAqua7Ta72iW+26lVLI6P5VsWv9ulrG4FZ6vNgvaem0spDN6saad7xyOqvc6tTP3dG00fgdcGwPQPWvZnxk72GrS6byeH5+v9unKv5cB2DiIPdhqutGn13XDkaSspHustYvGGL+kLxlj/sJa+/c1aX5E0qy19nXGmHdJ+mVJ7+zkYqWS1WfPjOvRj39VmXxJIb9HTzx8l+4bHe7oC5x28isUSvrUc5f1/k+drqY5+sCo/vgfLujs1UU9cu8+/cXzY3rbwRE9+cy5unzeeueQPvfihB79+Ff1rXu36b6DIzp64oz6IwG9+1tvrkv/+EMH9D2vH9ZTZ8b12KevXcst/8bj+3f06Ae+5WYde+pMXZqP/d0FzaZyOv7gAT10aOeym45q28SpnB988IBCfo9+9hOnHD8/fuSA7j8wpL95edo1j3br5FSP2p+fePguvfn2HTrx/BXX++OWptV9a6c/rbTvOLXDavruSnV77ADrbS6d0edOT+qxE6fr5p+3HhjcNIvDTsflasfzSs4vlay+8NKEzk0s6slnzjnOZe+9Z5/+9ORF/dh3vE6//bcv68J0uhovfuuvz1XfP3LvPu0b6pEk/fbfvKx3vGGPjj19pjmfN71Of/3SmN5854g+8jcv652H9+jDXyhf7+aBsH7sTa9rOu+xE2f0rjfu0cf+7oICPqMf/87X6bET9Wm+8LVxveOb9jTFSadYcPSB0aa6/OmXL+ieO4arZanN94e+9RZdmcu4ttHjDx3Qb37hnHIFu2ws2Erzdbt1cUp39P5R/fYXr92DdtqgEnd/8wvn6vpN5V5HA179t799pbqGuG90WJLq+ngl/W/9q29UrmDrylS5jxem0+W++B2vq+tPx46M6r/+zctN99kp7SP37tNwPKT/8ldnq3X89e+/S287MFz9x83Pvjiuy7NpPfPiuL7vm/boFxvO394T0OzVpJ74/Nnq8V95x0FNLub0q3/5UtPYqoyR2VROx46M6s9OXtTJC4lq+0aDHl2YSimZK9a1xc9+1+3a0RvUz37iVMv2qV2jPfqW/bp1MKp7bh+SpLr7e/NAWD95z766ddlq5r7a9fZmHzPdsNI5pN12rb1vTvPcsSOjCvuMxhdydX3yF952h8IBnz5Q83xTGSuVvl+ZS7//8B4dPVHfzweifs2mCvqNvzrr2Ncq8/j937Cz7rqNY772nMqYeOfhPfrTkxf1H+67s6156b337NNXX5vWm1+/Ux/562vzTG17tFrzS+p4Tmx8BmrnnBt1HGyktlju2fr4gwf0kZq1ktPcWpmfX7iyUHfub/7ANyqRztfNpY8/dEAPfcMueTymZRs0ru8qaX7mrbdrLJHWdDLfFAe29wT0xOfPOsbXSt/8hbfdoWjIr//4v59vikH/9v+6VT6PpymWVc6tXSv9+++4tSkWNa7NGs+t1Pv/9/JVXZnL1sXc40cO6OMnL+jyXFb//jtuVaZQapov3L4buGffoE6cHqv7jsbtuxW3sbtvqEf33D604cfiVni+2ixo67WxkM7oLxza+W0HBru+6Yh7ujacvqOvxAA2HXXPWvZnxg62mnQ6r6dOjzf16QcODLPpCNggiD3YarrVp9d1NW3LFpfe+pdetiHZg5I+uvTzJyTda4zp6JuWV6eT1S9vJCmTL+nRj39Vr04nO8murfzOjCWqDzKVNMeeOqP3vOk2ZfIlPfnMOb3nTbdVv5iqzefMWKKa/w9/+97qF+hvf8PupvTv/9RpPT8+X/0iq3LcLf/G4+95023VL9Vq07z9DbuVyZf02KdP69SVxIraxKmcH/j0aZ27uuj6+WMnTuv0+ELLPNqtk1M9an9+9ONf1akrre+PW5pW962d/rTSvuPUDqvpuyvV7bEDrLez48lqAJWuzT9nxzdPn+50XK52PK/k/Fenkzp1KVGdv5zmsg9/4ZzuP7RLx546o/sP7aoe/8CnT9e9f/KZczp1KaFTlxJ69923VjcNNeXz9Bn94L/Yq8dOlPOr/KOWpOrnTudV4sP9h3ZVNxvVpnn33bc6xkmnWOBUl3fffWtdWWrz/fpksmUbvf9T5bZoJxZspfm63bo4pTv2dP09aKcNKnG3sd9U7vVUMle3hqj8BobaPl5Jf+pSoqlMlbwlVft87edHl/ps4312SvvkM+d0fipZV8ef/rNrdTx1JaGXr5b/Ifjdd99a/Qfa2vPDfl/1H0wrx1+eTFY3G1WONY6RSlnfffetde27kC5qKplraotf/cuXqmu/Vu1Tm/8Tnz+rU5cS1TauTXv/oV1N67LVzH216+2V5LdVrXQOabdda++b01x29MQZ9UWDTX1yKpmrbjaqTVvb9ytz6dETzf08EvBXNxvVHq99NnjPm25rum7jmK89pzImKv9td1768BfOlePTp+vnmdr2aDXPr2ZObHwGauecG3UcbKS2WO7Z+rGGtZLT3FqZnxvPff5y8zPu+z91WmfGEsu2gVvs+7XPvaRIwO8YB74+mXSNr5W+OZXMVTcbVT6vjLOrC1nHWFY5t3at5BSLGtdmjedW6r2QLjbF3MdOlNdxlbyd5gu37waeH0s0fUfj9t2K29itxMONbis8X20WtPXaeNGlnV+8Du3MPV0bTt/RV2IAumct+zNjB1vN8+Pzjn36+fH5dS4ZgApiD7aabvXpdd++b4zxGmO+KumqpM9ba/+hIckuSa9JkrW2ICkhacAhnx81xpw0xpycnJx0vNbEfKbaYBWZfElXFzIdlb2d/MYSzmnSucK1n7MFxzS1584m89WfjZFj+on5rPO1XPJP564dd0tT2dpVzn/5dqptE7dylpa2lLVTD7c0tWVv53htPWp/Hne5h7X3p1WaTvvTSvuOWzt02ndrrcfYAdab23w5MZ9tO492xs711Om4XO14Xsn5E/MZlayWncsqx2u3Ezu9L1mpZFvHrEy+pLlUvu59RTvXd407bcTSVmVvFbfabaN2YsFmma+7GXvc0jXeg+XaoBJ3W61fatcQVxcyTX28wulYbZlWcp/bKU9jHcdryuXWd5MOfbJVuRvXUJW1UjW/bMH1/FLD/06wXPtUzqm0cTvt0enc57ZW32hjpuJ6x56VziHttmvtfXO7hzM1zzsVy/WVynu3OTbZxjOO2xhpHPONP9f+t915qfJM59Yerfp3t+bElZyzUcdBpzbbc087z9a1Y8FtvDiNA7e044nl+5pb7HOLLbXjqVUdWo33duJGJYa2O2/UfS+wVG+3OSOdK7TM220OGnd95nBeN7u13XqPxfbGzuqfr9Ae2nptdKudGT8bh9u6fzyxtdY7642xA3RuK3xfDWxmxB7ciLrVp9d9w5G1tmitvUvSbknfbIw50GE+v2utPWytPTw4OOiYZigWUshfX+WQ36MdvZ39mrN28huJhx3ThAO+6s+RoM8xzUj8Wv7bov66NE7ph2JBx+Nu+UcC1467pbG2Nv/l26mxTZzyrP1N4O3UY7myt3O8th61P4+43MPa++OWxu1a7fSnTvpON/turfUYO8B6c5svh2LBtvNoZ+xcT52Oy9WO55WcPxQLyWu07Fxmbf38XHu89r3HSB7TOmaF/B71Ra7FTKd0y12/01jaquyt4la7beT2WW3bb5b5upuxxy1d4z1Yrg1q467b+qX2PuzoDTn2cUmOx5zK5PZ5O/22tjyNdRypKZdb34069MlW5W4sX2WtVM0v1NyXa8va7nVqz6m0cTvt0enc57ZW32hjpuJ6x56VziHu7dr6vjl91vi8I7U/ltzm2Gho+WcDtzHSOOYbf679b7vzUm0d3drDrf27NSeu5JyNOg46tdmee9p5tq4dC27jxWkcuKUdji/f19xin1tsqY0DrerQary3Ezfaycft3Eq93eaMSsxzy9ttDhp2feZwXje7td16j8X2xs7qn6/QHtp6bXSrnRk/G4fbun84vrXWO+uNsQN0bit8Xw1sZsQe3Ii61afXfcNRhbV2TtJfS7qv4aPLkm6SJGOMT1Jc0nQn17hlIKonHr6r7kveJx6+S7cMRDsqczv5jY7E9PhDB+rSHH1gVL//xa8r5PfokXv36fe++HU9cu++pnxGR+LV/P/wS+d17MioQn6PPvmVS03pH3/ogA4Ox3T8wfprueXfePz3vvh1HX1gtCnN//qnSwr5PTr+4AEd2hlfUZs4lfODDx7Qvh09rp8fP3JAB4Z7W+bRbp2c6lH78xMP36WDO+Mt749bmlb3rZ3+tNK+49QOq+m7K9XtsQOst/3DUR0/cqBp/tk/vHn6dKfjcrXjeSXn3zIQ1cHd8er85TSXvfeefXr61GUdfWBUT5+6XD3+wQcP1L1/5N59OrQ7rkO74/ros6/o6P2jzvncP6r/+ffndfzIqJ567rLee8+16z313GXX8yrx4annLuv4keY0H332Fcc46RQLnOry0WdfqStLbb63DkZbttHjD5Xbop1YsJXm63br4pTu6P3196CdNqjE3cZ+U7nX26OBujXELQPRpj5eSX9wd7ypTJX7KC31xYb+dOzIqON9dkr7yL37tHd7tK6Ov/791+p4cGdct+3o0SP3lvvYLzqcn84X9Ohb9tcdv20wqp/9rttbjpFKWT/27Ct17dsb8mogGmhqi5/9rtura79W7VOb/6Nv2a9Du+PVNq5N+9Rzl5vWZauZ+0ZHYltmzHTDSucQ93aNu943p7ns2JFRzSWzTX1yIBrQBxuebypjpfK+MpceO9Lcz1PZvN735v2ufa0yjzdet3HM155TGROV/7Y7L733nn36f//+vI4/WD/P1LZHq3l+NXNi4zNQO+fcqONgI7XFcs/WxxvWSk5za2V+bjz3wK7mZ9zHHzqg0ZH4sm3gFvt+5q23K5XLO8aB2wajrvG10jcHogF96HsPOsagwd6gYyyrnFu7VnKKRY1rs8ZzK/XuDXmbYu7xIwf0sWdfqebtNF+4fTdwcCTe9B2N23crbmO3Eg83uq3wfLVZ0NZr406Xdr7zOrQz93RtOH1HX4kB6J617M+MHWw1B4djjn364HBsnUsGoILYg62mW33a2Nr/zWuNGWMGJeWttXPGmLCkz0n6ZWvt0zVpflzSQWvtjxlj3iXp7dbah1vle/jwYXvy5EnHz0olq1enk7q6kNGO3pBuGYjK0/i/Xa9AO/kVCiWdGUtoPJHRcCykvqhfY4mMBntC8nrKf/ZiOBZSsSRNLtbnU5v/SDykq/NZTcxntasvJK/XaGwuo+F4SKMjcfl8HuVyRZ26ktDEUp6hgEeXZtLa1RdWSVZjcxmN9IVUKkmX58rHPR5pbC6jPQNhLWaKmpjPamdfSB5jdHkuraFYSId2xhUIeFfeJj1BzabzGk9kqvlIqpZxz7awsvmSxuazGooFdXA4pnDYX5dHbdvUttlQb0gLmbzGEuW26Q35NdEife3PtW3sdn/c0rhda6X9aaV9Z1d/WCGfV1PJbKd9d9nEazl2gPU2l87o7HhSE0vzz/7hqPrCrv9nW8vO3mrsXE+djsvVjueVnF8qWV2cKbdzKlfQLQPR6p+GiAS8yhdL6o8E5fNK44lymj3borp5W0QXZlK6OJNUJODTUCyoPdvKi5xXp5OaT+dUKEkzyZz6I34lcwVFAz5lC0UZY3TTtrCuzuc0m8opHvZrPp1XfySgfLEoGaOFdEG9YZ+y+aJG4mGlckVdmktrqDeoaNCrfNFqMVOQ3+fRfCaveMgvGats3iqVK6o/4pff69GVRFrDvSH5fEbJbFE7esux5vJcWouZokbiQd0xFNOlRFozyaz8Xo9SuWJT3WcWc0rmikpmi9rdH1KwZr7f0x/RxdlUU0x0a/sNNl+vSeyppJuYL/cra62MMUrlihqKtd8Glbg7k8wqFgpoPpNXJODTjt6gjGleQ1SuXdvH92yLau/2a321UvY9/df6dMDnUU/AJ5lyH44EfBrpC2p2Ma+rC1lt7wkolS8qlSvqlm1RFWxRM8m8ktmi4mG/BnsCyhaLmlrMK5Mvau9AVLcO9tTVMZcr6oXxec1n8vJ6pJDPp6nFnHpCXvUEfZpN5hQOeuU1Hk0tZrW9J6hIwKNcwWohW1A2X9T2nqAKpZL6wgGl80VdnElpWzSgbVGfvKZ+TSJJF2eSml7MKVMoKpUtqi/i12BvULv7rvXh2vSVexYNlMfcTCqnvnD5nD3b6tu4sS0b81vN3LfBxkytdYk9K22Pdtu1ct8m5jPqDfq0kC1oPl3QcDyovohfkwtZhfxepXJFzafzCge88nmNwn6vsvmSJhayGogGFAl4lC1Yzafziof9WsjmFQsFZFRSyRolls6N+L3yez2aS+cU8Hk1n86rN+SXldV8ulCdx689i9nyeAx6FfB55JHRxFLZ+yN+XV3IKhLwKlcsKeD1KF8saVs02Pa8VEm/Ox7WixPzmklm1RsKKF8saTh27bmm1Zp/pXPi1QX3Z6DV3vcNbss899SWpfb5dzge0p1L6wunubXxmFOcKpXstefgmu8U2mmDUsnqwnRSVxJpJZfm+1yhqF19EZWs1fh8RslMUZGgVyG/R4O9QRWK0mwqK7/Ho5lUTj1BnyIB79LYKq/1dvdF9Op0Uq9OJxUNltd1Aa9Hfp9HuUJRfo9XyVxBN/VH5POaar9uXCtZK11dyGohU54nSrakkM+nVL6oaNCrQsFqfCGjXfGwRnfW1/u12aQmEllNJbPaFQ/rzuGYXptL6+JMUrFQ+beUJXNFJZbmoEjAq4VMQSNx5zVa7Xc0y323UipZnZ9KNq1/17j/dRx7Vvh8hVWgrdfGQjqjF2va+c7hqHo7/M5AYvxsBHXfATfEPnRPN79vkxg7uLGk03k9Pz5f7dOVfy9zsSG/rwY2AWIPUKMba7f13nB0SNJHJXlV/m1LH7fWHjfGHJd00lp7whgTkvQ/JH2jpBlJ77LWvtIqXwIp4GhVQRS4wfEAB3SG2AN0jtgDdIbY8/9n78/j5LruOv//fWpfuqt6UUvdkix5k2ynWyIYJyGBXwJeEgdkWZOEJAPf8Tf8Jg+WAeKJGWa+MI4VKR4Y4IszDgmEwADJzBCSkGBLhoQ4NkkAs9gxsay2Y8m2LFlS71t1177c7x/VVbpVdW93dXWpuyW/no9HP9x969xzzj33fM7nVOm6G2gduQdoDbkHaA2xA7SOfRvQGnIP0DrH+PGtdS/sLMs6pvKDRPXH77N9n5H0E2vZLwAAAAAAAAAAAAAAAADO+J2hAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACatm4PHBljrjDG/K0x5jljzLAx5m6HMj9ijJkzxnx38eu+9egrAAAAAAAAAAAAAAAAgDLfOrZdkPTLlmU9bYzplPQdY8yjlmU9V1fu7yzL2rcO/QMAAAAAAAAAAAAAAABQZ91+w5FlWSOWZT29+P28pOclbVuv/gAAAAAAAAAAAAAAAABY3ro9cGRnjLlS0vdL+meHl99sjHnGGPNVY8zg2vYMAAAAAAAAAAAAAAAAgN26P3BkjOmQ9GVJ/9GyrETdy09L2mlZ1vdJ+l1JDy1Rz88YY54yxjw1MTFx0foLXG6IHaA1xA7QOuIHaA2xA7SO+AFaQ+wArSN+gNYQO0BriB2gdcQP0Lp1feDIGONX+WGj/2NZ1lfqX7csK2FZ1sLi938tyW+M2eRUl2VZn7Es6ybLsm7q6+u7qP0GLifEDtAaYgdoHfEDtIbYAVpH/ACtIXaA1hE/QGuIHaA1xA7QOuIHaN26PXBkjDGS/qek5y3LesClTP9iORlj3qhyf6fWrpcAAAAAAAAAAAAAAAAA7Hzr2PYPSfp3kp41xnx38divSdohSZZlfVrSeyT9vDGmICkt6f2WZVnr0FcAAAAAAAAAAAAAAAAAWscHjizL+ntJZpkyn5T0ybXpEQAAAAAAAAAAAAAAAIDlrNufVAMAAAAAAAAAAAAAAABw6eGBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATfOtV8PGmCskfU7SFkmWpM9YlvVgXRkj6UFJPyYpJekDlmU9vZp2SyVLr0wlNZbIaEsspCt7o/J4TNvrcCtjP761K6TZZF4jiYwG4mF1RXw6P+teflM0qIVsXmdnMxqIBxUNenV6Kq0dPWGlcyWNJDLa0RNWvmBpJJHR1nhIXo/RqzPp6vdnptPa3hWSxxiNJDK6oiesQtHSyFxGW7vC6gz6NJrIaFNHUMlsQWdny+eG/R6dnk5rW3dYuXxJ5+cy2t4VUkfQr8lktqZv5T6UNJLIaiAeVFfYr/FETn6f0Uw6r03RgIJ+j16dTuvqvrDmUkWNJrLaGg+pK+LX+HxWW7tCGk9kq8dDfo9enUnXjJN9/LZ3h1WyLJ2fLY/l4EBMPp+nZvw2d4bk9WjxWmvH3qn8QDykqYVcuUwspL5YQOdmyseLJWl8PqP+WEjzmXx5PLrDCvm8mljIura1rSssI+nsbNq1/HLzsh1zuBXr1S5wscymMzoxmtRYIqstsaB290fVFQ61vZ3V5IyL3X79azu6Izo7m9JYIqtkrqCdPVFdtWn5vji1USpZGj4/p3OzaW3qDMrvMZpN57WjOyKfz2h07kIbO3siOjOT0lgio66ITwuZosbns+rpCCjs80iylC9KEwtZ9UaDyuQL6gz5ZVkllSxTc7w7ElQ6X9BMKq+eaEDJXF494aCKlqV0vqhSyVI06NPEQladIZ+2xkKaWMhpdHEeRPxenZ5OqT9WzpsjiYziIZ+2doWVK5R0fi6loM+nZLag7khAC9m8IgGfEpm8IgGvgj6vJhey6okGlCuUlMgUtLkzqBs2d+rE5IKmkll1Bv2aTeW1ORbSDVs6dXYuXR277fGwnh9LaGSunJ9u2NKp84l0wz2RpFemkppKZhXwepTKFS/btbk+N1dy8FLXWyiU9NzInEYSGXUEfAr6vQr5PSpZlnIFS5ML2Zr8XyiUNDwyVx33wYGYPB5TM8a5YmnJsbb3Mxr0KV8oKZHJqycaVMkqyWOMUrmiNneG5PNKo3NZJTJ5xcN+bYkFVShK06msjIymk1ltiYXVHfVpIpFTrljSQrag6OIcCwU8yuRKSuUL6gz6lc7n5fV4NT6f1aaOgAI+o2y+pLDfq2yxpES6oKt7o7qqr0Mej6mOz/m5jGIhn7oifqVzJc1l8tppi9HyHiWozpBXiXRRyVxBV3RHlMkXNZrIqCcSUKZQVDpXVFfEr2jQq4VMUdOpnKIBnzpDPqXzRc2nC4oEvPJ5jUI+rxKZvAI+r6JBr9L5ovo6guX9aCKtkM+rmVReYX/59b5YQNPzF/Z7Tnsn+7xYbk9VKlk6M53U+HxWc+m8YqHy+O/oufxip92cckZl7R6Ih1QoWjozk1JH0KdIwKv5TKHhfc2Z6aRGE1kl0nnFIz75jEejiYz6OoMa6ApqNlnQQjavQknK5Ivqjvg1ny0oGvBpOpnTpo6AjDGaWsgq5PcqFvIpWyhpNp3XpmhQ+WJRxngW761XAV85LiIBryIBryTJ7y3/PzcL2YKS2aI6Ql7FQn7t7uvUmZmUzs2mFPL7NJfOKRLwye81Cvu9SmQKSuYK2hQNqiRLPZGgvJ5ybuoIeJXMFZVa/NoSC8qypKlkTh0hnwIej3o7AtreVR6z+rXbPpaVMZOkU5NJnZ5OKhrwrWieFgqlcg6eS2tTRzmGZ1OFi5Yn7HMjEvApVyyqNxq8LHPSctz2Xc3kmVZyeaW9peqoxJ7T/q5UsnR6Kqnzc2ktZAuKhf0aiJXX1OlUY/4biIeUL5bbDPu98nmkcMAnYyTLUrmsx6PpVE7xsF/ZQjl/dYR8ivi88vmMZlN5laySQj5fzX6vZEmZfElbYiH5feU8ObGY14Jej+YyeUWDfuXyJfV0+jSfLmpsPqveaECRgFdej9FMKq+FTEH9i59DnJ/LaD5T0KaOgBKZvIJer8IBr6aSOXWGfIqHfdrVd2Ev8NzonEbnynvEXKGozpBfRaukTN5SMlvQFd1hBX1ejSUyCvg8ypeK8hqvphay2tYdqe4rWpkjl4O1en8FxnqtrOU4c09xOSF2gNal0jkdH52vzumh/k5FwoH17hYAG3IPLjftmNPr9sCRpIKkX7Ys62ljTKek7xhjHrUs6zlbmXdK2rX49SZJv7/435aUSpa+Njyqe774XWXyJYX8Hj3w3tfr9sH+FX2gt1wdbmXefsMWff35Md3zxe9q9+YO/ds37dSho8PVMgfvGNTn//m0TowvNJSvlLn7ll363D+e1kwqp4N3DOrrx0f0xqt79eBjJ9UdCeiuN+/Ug4+dbEv5Vs796rMjeueeAdc6P3TzLv23p87o/W/YoZOjCb3pmk06eGS4pqzbcXtfnnx5Um+4epMOHR127Mv9B4a0f89WfeOF8Ybx+5eXp/T2oYGasa8v73R/Du0f1D+/NKld/bGGMXAbD6e2mhknt3nZjjncivVqF7hYZtMZff34hO47crw6pw/vH9Lbh/raujlcTc5oR3wtVbekhtfuPzCkVLagX//q95rui1Mbf/DvbtR4IqePPHy8YY0L+Ix+7m3XNqzBv/v4ScVD/oa194H3fp8WskXdZ6vrQzfv0uPfG9VP3LSjJld86OZd+sJTw7rrzVfqj/7ulGZSOX341t3qjmQ1lczrz588o5984059/Bsnatb23/vmizo9lW7IxfY+/4cfuVa/980X9b6bdugTj5+sa/OM3nfTDn1hMb85rfEfu3NIX3jytG6+vr96/s7esH7hR3dVr63+58p52UJR9//V89Vjv/MTr1fQb/SxR55r6M/ltjbb55dTrnW63kKhpIeeOad7H6qdf9GAV/GIXw88eqJ6v+8/MKR9gwN6ZHikpvz9B4bUFfFXx7hyj93G2ikOavYu+wb16W/XzrNPf6v8887esH7ubdfq099qnF8fu3NIhWJRhx55vuFaQn6PZlIFPfrciN594w4deqR2T+n3SqlsUZL0+996WTOpnH7nJ16v267frCPPnm8Yn86QT5/625c0k8rp8P5Bfeqbtf2zx+U9t+1WV8inF8cXqvdjZ29YP/+2a/XRxXJO51X6blnSHz9xSu9/ww71Rvw6dnZOn/vHVxri8+5bdmlbV0i/8+gJ5QpWS3vP+vv0+AtjenkiqQcerW1n15YO3XzdlssmdtrNaY5X1u5cwdJP/9CVDWNqvwdvv2GLvnlyXCfHFlzv1W+9e48SmYLmM4WaeVWeR0+rOxJwbCca8Or3v/VyOb+89VodeqT8/uCD/7+r9Nt/80JN2f54SF5jKZ23avLHvT9+g743Oq/fffxkwzy857bd6usM6le/8mzD2v9Tb9qp/s6AijIancvUXNs9t+3Wn/zDK5pJ5XTPbbsV8nnUHQ3os0+cqskF9rGsrBGf/MnvVzZv6Ze/9N0Vz1OnNbD+fWY784TT3KiMz3+5/YbLKictx23fdet1jevu/QeG1NcZ0H0PD7ecyyvt/ebXnnetQ5Ief2GsIfaWistD+wf1pafO6Obr+2vy31IxGI/49VfHzun1V/RWy9av2YfvHFQmV9SRZ87pPT+wQx89+rTrfqz+53tu262g16Pf+Nr3HN+r/8a79qhYshrmfSXXhvweffjW3fqzfzmt979hhyJ+r/74iVP6ubddqzPTab3tmj791XOj+q9/2RjnlT1gfR66aWe8YS96/4EhHfi+ba4PHV3O76vX6v0VGOu1spbjzD3F5YTYAVqXSuf0yPGxhjm9b2gLDx0BGwS5B5ebds3pdfuTapZljVR+W5FlWfOSnpe0ra7YnZI+Z5X9k6QuY8xAq22+MpWsfrAjlf/vuXu++F29MpVsax1uZYZH5qrHP/jWa6ofkFXKHDo6rA++9RrH8pUyDz52Uu+6cXu1/Ad++KrqB17vunF79ft2lG/l3A++9Zol6/zE4ye1b+82PfjYSb3nDRc+nLOXdTtu78t73rCjOn5Ofbn3oeM6dt55/D7ww1c1jH19eaf7c/BIuV2nMXAbD6e2mhknt3nZjjncivVqF7hYTowmqwlUKs/p+44c14nR9s7p1eSMdsTXUnU7vXbvQ8c1mcytqC9O9cyni9WHjSrHKmvcvr3bHNfgfXu3Oa69pZKqD+BUjn3i8ZO66y1XN+SKSo757b95obqefvwbJxQJ+PXgY+XXKv+IXDnn4JFh7du7rfqzPRfb+1wpV/nHvPo27fnNaY3/yMPHdddbrq45f9/ebTXXVv9z5bzx+WzNsV/+0nd17OycY38ut7XZPr+ccq3T9Q6PzFX/wbFS7sHHTmoymdNLE8ma+33vQ8f1rEP5ex86XjPGy421UxzU7F0eaZxnlZ8rMeHUxkcePq6RRNbxWiIBvz7+jRO66y1XVx82stcf8vk0mcxpMpmr9uOXv/RdHTvvPD7j89lqufuONPbPXv6BR08oEvTX3I99e7dVHzZyO6/S96lUrhovkaBfv/03LzjG54OPndSLi/es1b1n/X06dnau+o/l9vLHzs5dVrHTbm45o3JvnMbUfg+GR+Z07OzckvfqxYnyb56qn1f2Pb9TO5U5vm/vtmosvOvG7dWHjexlT00m1RUJNuSP8fls9Xrq5+EDj57Qqcmk49r/wKMn1BUN6tRksuHaHnj0RPXaHnj0hCaTOZ0cX2jIBfaxrPx87Oxc9WEje/+bmadOa2D9+8x2znWnuVEZn8stJy3Hbd/ltO7e+9BxzaeLq8rllfaWqqOy7jnlT7e4PHhkuDpP7XUvFYMvTST1Uz94VU3Z+nrve3hYk8mc7nrL1TX5wmk/Vv/zA4+e0FSqvEd12i+emkw6znt7HR//xolq7qnkoUNHh5UvWHp2ZK76sFGlfOX6K32pvyanvei9Dx3X8MjciufI5RAna/X+Coz1WlnLceae4nJC7ACtOz467zinj4/Or3PPAFSQe3C5adecbssDR8aYiDHmI8aYP1z8eZcxZt8Kzr9S0vdL+ue6l7ZJetX281k1PpRUqeNnjDFPGWOempiYcGxnLJGpDlhF+QPmTLNdbaoOtzIjcxeOp7MFxzLpXMGxvL2MMRe+n03mq2WM0bLlZ1ZYvqat1PLnul1XfZ2ZfEmTtn9AtZd1O26vY2ohu2xfRl3ug33M3Mq7XcekS7tufZhxaSudW36cnOZlO+ZwvbWKHWAjGUs4rzNjiWzTdbQrdi5mfC1Vt9trJUuO5VfSRnKJXLBU7nFae93qWirf1K+nycU1d7m8V63blovtfV7qfPt/l8rx9uP19bnV73RPSpZ7+UthbW4mfqTa+dXs9brtn0qWquNmPz7qsh7Yx3i5tt3iyWlPVf/zcm243f9KbLjNt2Su0HDNS+2P6svV98+p/lbns31sK9exVPml1o5m9p72+1T5kz1O7VxOsdNuS83xZt5TjMy5j32lXGVuuM2jlcyRpcrOpBr355V2VxKHlbLTyfyy12af+8vNWXt/nPqx3Dx1WwPtua2dc32pubHRctLFjh+3sXBbd5O5wqpyeaW9pepYat1bKi7TDmvzcut6M581NBsDTj9X4tDp/OVi0P5zfY5P5gquewF7jq6/JrfrGJ1b2b55o8WJk+be96z+/RWaw1ivjXaNM/GD1xpiB2jdWn1eDcAZuQevRe2a0+36DUd/Iikr6c2LP5+TdH8zJxpjOiR9WdJ/tCwr0WoHLMv6jGVZN1mWdVNfX59jmS2xkEL+2ksO+T3a3Nn8r4Rqpg63MgPxC8cjQZ9jmXDAZysfdixjWRe+74r6a8osV757heVr2oosf67bddXXGfJ71NcZdCzrdtxeR29HcNm+9Lvch/oxcyrvdh19S7TrVL7Hpa1IYPlxcpqX7ZjD9dYqdoCNZEvMeZ3ZEgs2XUe7YudixtdSdbu9Vv/XHJbri1M90dDya5zTa05rr1tdS+Wb+raitjV3qX5Vfrbn4vo+L9fmUn1zW/uX+9npnlSOXaprczPxIzXOr2au123/5DGSx6jhfve7rAf1Y7xU227x5LSncvvZrQ23+1+JDbf5Fg34Gq455PdoYInYX6q/TvW3Op8rbYX8npoYb6Zf9a83s/e03yevcW/ncoqddmtmji/12kDcfewr5bxGrmWcvq/87DZH3Mp2Rxr35/Z2m43DyhzuifqXvTb73F9uztb3p74fy81TtzXQntvaOdeXmhsbLSdd7PhxGwu396VR2z2pf62ZcbO3t9R+z20+LRWX9nnaTFx5jJr6rKHZGHD6uRKHTucvF4P2n+3rRuU+uO0FnPaVFW7X0R9f2b55o8WJk+be96z+/RWaw1ivjXaNM/GD1xpiB2jdWn1eDcAZuQevRe2a0+164Ogay7J+S1JekizLSkla9g/QG2P8Kj9s9H8sy/qKQ5Fzkq6w/bx98VhLruyN6oH3vr7mg7MH3vt6XdkbbWsdbmUGB+LV43/47Zd08I7BmjIH7xjUH337JVv5WEM9d9+yS195+my1/J/+/Sndfcsuhfweffk7Z6vft6N8K+f+4bdfWrLOD928S48cO6e7b9mlLz15Rof2DzaUdTtu78tfPHmmOn5Ofbn/wJD2bo07jt+f/v2phrGvL+90fw7tH9SXnjzjOAZu4/EnDm01M05u87Idc7gV69UucLHs7o/q8P6hmjl9eP+Qdve3d06vJme0I76WqtvptfsPDGlTNLCivjjV0xny6mN3DjmucUefOee4Bj9y7Jzj2usx0uG6uj508y599omXG3JFJcf8yjuuq66nH751t1K5vO6+ZZeOPnNOH751d8Pa/sixc9Wf7bnY3udD+wd19Jlz+tDNuxzbtOc3pzX+Y3cO6bNPvFxz/tFnztVcW/3PlfM22x7EDfk9+p2feL32bo879udyW5vt88sp1zpd7+BATPcfaJx/m6IBXdMXrbnf9x8Y0p6BeEP5+w8M1YzxcmPtFAc1e5d9jfOs8nMlJpza+NidQxqIBR2vJZXN68O37tZnn3hZB/c17ikzhYI2RQPaFA1U+/E7P/F67dnaeL1337JLmzuD1XKH9zf2z17+ntt2K5XN19yPo8+c00dt5ZzOq/S9NxKoxksqk9evvOM6x/i8+5ZdunbxnrW696y/T3u2x3XPbY3t7N0ev6xip93cckbl3jiNqf0eDA7EtWd7fMl7dU1fVH2dwYZ5Zd/zO7VTmeNHnzlXjYUvf+esfuUd1zWUvWpTVLOpbEP+6OsM6v4DQ47z8J7bduuqTVHHtf+e23ZrNpnVlZuiDdd2z227q9d2z227tSka0K7NHQ25wD6WlZ/3bI/rd36icU1pZp46rYH17zPbOded5kZlfC63nLQct33XXod19/4DQ+oMe1eVyyvtLVVHZd1zyp9ucXlo/2B1ntrrXioGr+mL6v/806masvX1Hr5zUJuiAX32iZdr8oXTfqz+53tu263eSHmP6rRfvHJT1HHe2+v48K27q7mnkocO3jEov89oz0Bc/+3f7HGcx5W+1F+T0170/gNDGhyIr3iOXA5xslbvr8BYr5W1HGfuKS4nxA7QuqH+Tsc5PdTfuc49A1BB7sHlpl1z2lj2/+WrRcaYJyTdIukfLMu60RhzjaTPW5b1xiXOMZI+K2nasqz/6FLmxyX9oqQfk/QmSZ9Yqs6Km266yXrqqaccXyuVLL0yldT4fEabO0O6sjcqT/3/srqMZupwK2M/PhAPaTaZ12gio/5YSF1Rv0bm3Mv3RoJayOZ1bjajLbGgOkJenZlKa3tPWJlc+Ve1b+8Oq1C0ynXGQ/J5jM7OpKvfn5lOa1tXSF5jLpQvWRqdK/enM+TX2HxGvdGgktmCzs2m1R8LKRLw6Mx0Wlu7wsoVyr9+fVtXSB1Bv6ZS2Zq+XdEdVr5Y0kgiq/5YUN0Rv8bnc/J7jWbTefVEAgoFPDo7ndZVm8KaSxc1lsiqPx5Sd8SviYWsBuIhjSey1eNhv6d8HbZxso/ftq6wSrI0Mlu+7sGBuHw+T8349XWE5PVIo4m6sXcp3x8LaWohp9FERltiIW2OBXR+tny8WJImFjLa0hnSfCZfHo/usEI+ryaTWde2BrpC8sjo3Gzatfxy83IVc3jZQhc7doCNZDad0YnRpMYSWW2JBbW7P6qusOv/XbzkZF9t7FzM+Fqq7vrXdnRHdHY2pbFEVqlcQTt6orpq0/J9cWqjVLI0fH5O5+bS2tQRlN9TzgFXdEfk9xmNzl1oY2dPRGdmUhpLZNQV8WkhU9T4fFY9iw8/GVnKF6WJhax6o0Fl8gV1BP2SSipZpuZ4dySgdL6omVRePdGAUrm8usJBlSxL6XxRpZKlaNCnyYWcokGvtsVDmljIaXRxHkT8Xp2eTmlLLCS/x2gkkVFnyKdti/nv/FxaQZ9XyWy5rYVsXpGAT4lsXmGfVyG/V5MLOXVH/coXSkpkCurrDOp1mzt1YnJBU8msOoN+zaby2hwL6oYtMZ2dS1fHbns8rOfHEhqdK+enG7bEdD6RbrgnkvTKVFLTyaz8Xo9SuaK2xDbk2ryq3COpITdXcvBSsVIolPTcyJxGE1lFAl6F/V4F/R5ZlqVswdLk4l6jkv8LhZKGR+aq4z44EJfHY2rGOFcsKbDEWFf6OZbIKBrwKl+0lMiU9z2WLBljlMoVtbkzJJ9XGp3LKpHJqyvs1+ZYUIWiNJ3KyshoOpnTls6gujv8mkjklCuWtJAtKBLwKuTzKuT3lP/kzWIspPN5eY1XEwvluAn4jHKFksI+r7KlkhLpgq7qjerqvg55PKY6PiNzWXWEvOqK+JXJlZTI1Mbo5EJWfZ1BdYa8SqSLSuUK2t4dUSZf1Ggio55IQJlCUelcUV0Rv6JBrxYy5fiLBLzqDPqULhQ1ny4oHPDK7zUK+byaz+bl93oVDXqVyRe1qSO4uH8tx9dMKq9wwKuo36u+eEDT84v7PZe9k31eLLenKpUsnZlOamI+q9l0XrGQX1tiQe3o2XCxI60i91wMTjnjzEyqGpuFoqVXZ1LqCPoUDng1nynUxEpl7McSWc2l8+oK++T1eDSayKivM6iBrqBmkwUtZPMqlKTM4rxK5gqK+H2aTuW0qSMgI6OpZE4hv0exoE/ZYkmz6bw2RYPKF4syxqNEOq/OkFcBn1cT8zmFAx5FAl5Jkt/rkZE0ny0omS0qGvQqHvZrd1+nzsykdG42pZDfp7l0eR77vUZhv1eJTEHJXEG90aAsWeqJBOX1SJML5XUmlStWvzZ3lv8voKmFnDpCPgW8HvV2BLS9qzxm9Wu3fSwr81aSTk0mdWY6qUjAt6J5WiiUanJwZ8ir2VThouUJ+/oXCXiVL5bUEw2uZ05ade5pldu+q5k800our7S3VB322Kvf35VKlk5PJXV+Lq1kpqjOsE8D8fKaOpNqzH8D8ZDyxfI5Ib9XXo8U8fvk8ZT/rFmuWFLA49FMKqdYyK/sYv7qCPoU8Xvl8xnNpvIqWSWFfL7qfi/s96hkSdlCSZs7Q/L7ynlyYj6rTR0BBb0ezWXyigb9yhVK6on6NG/bL0b8Xnm9RjOpvJLZgrZ0BtUV8ev8XEbzmfIDuIlsXgGvVxG/V1OpnDqCPnVFfNrVF6vuBZ4bndPYXFYdIZ9yhaI6Qn6VrJIyeUvJbEHbF/PQWCKjgM+jQqkoj/FqKpnVtnhYg1vL+4pW5sgG0nLuWeH7K6wCY7022vmZgUT84LWD2AFal0rndHx0vjqnh/o7FQkH3IpvqM8MgEsIuQewacferV0PHN0m6V5Jr5P0dUk/JOkDlmV9c4lzfljS30l6VlLlj8P9mqQdkmRZ1qcXH0r6pKTbJaUk/bRlWctmSBIp4GjdPngHLgO8gQNaQ+4BWkfuAVpD7gFaR+4BWkPuAVpD7ACtY98GtIbcA7TOMX587ajZsqxHjTFPS/rBxYbutixrcplz/t6tU7YylqRfaEcfAQAAAAAAAAAAAAAAAKxeWx44WvQ2ST8syZLkl/SXbawbAAAAAAAAAAAAAAAAwAaw9B+Xb5Ix5vck/ZzKfx7tuKSfNcZ8qh11AwAAAAAAAAAAAAAAANg42vUbjm6WdMPin0CTMeazkobbVDcAAAAAAAAAAAAAAACADaItv+FI0ouSdth+vmLxGAAAAAAAAAAAAAAAAIDLSLt+w1GnpOeNMf8iyZL0RklPGWOOSJJlWfvb1A4AAAAAAAAAAAAAAACAddSuB47ua1M9AAAAAAAAAAAAAAAAADawdj1wtFfS/7Ysa6ZN9QEAAAAAAAAAAAAAAADYgDxtqmeLpCeNMV80xtxujDFtqhcAAAAAAAAAAAAAAADABtKWB44sy7pX0i5J/1PSBySdNMb8ujHmmnbUDwAAAAAAAAAAAAAAAGBjaNdvOJJlWZak0cWvgqRuSX9hjPmtdrUBAAAAAAAAAAAAAAAAYH352lGJMeZuSXdJmpT0R5J+xbKsvDHGI+mkpP/cjnYAAAAAAAAAAAAAAAAArK+2PHAkqUfSuyzLOm0/aFlWyRizr01tAAAAAAAAAAAAAAAAAFhn7fqTalfXP2xkjPlfkmRZ1vNtagMAAAAAAAAAAAAAAADAOmvXA0eD9h+MMV5JP9CmugEAAAAAAAAAAAAAAABsEKt64MgY86vGmHlJe40xicWveUnjkh5uSw8BAAAAAAAAAAAAAAAAbBireuDIsqzfsCyrU9JvW5YVW/zqtCyr17KsX62UM8YMLlENAAAAAAAAAAAAAAAAgEtEW/6kmv3hIhf/qx3tAAAAAAAAAAAAAAAAAFhfbXngqAlmjdoBAAAAAAAAAAAAAAAAcBGt1QNH1hq1AwAAAAAAAAAAAAAAAOAiWqsHjgAAAAAAAAAAAAAAAABcBtbqgaPcGrUDAAAAAAAAAAAAAAAA4CJqywNHxpivGGN+3BjjWJ9lWT/oct4fG2PGjTHHXV7/EWPMnDHmu4tf97WjvwAAAAAAAAAAAAAAAABa067fcPR7kn5S0kljzH83xlzX5Hl/Kun2Zcr8nWVZr1/8OryaTgIAAAAAAAAAAAAAAABYnbY8cGRZ1jcsy/opSTdKekXSN4wxTxhjftoY41/ivG9Lmm5HHwAAAAAAAAAAAAAAAABcfO36DUcyxvRK+oCkD0r6V0kPqvwA0qOrrPrNxphnjDFfNcYMLtH+zxhjnjLGPDUxMbHKJoHXDmIHaA2xA7SO+AFaQ+wArSN+gNYQO0DriB+gNcQO0BpiB2gd8QO0ri0PHBlj/lLS30mKSLrDsqz9lmV9wbKsX5LUsYqqn5a007Ks75P0u5IecitoWdZnLMu6ybKsm/r6+lbRJPDaQuwArSF2gNYRP0BriB2gdcQP0BpiB2gd8QO0htgBWkPsAK0jfoDW+VZbgTHGI+k7lmX9G6fXLcu6qdW6LctK2L7/a2PM7xljNlmWNdlqnQAAAAAAAAAAAAAAAABat+rfcGRZVknSu9vQlwbGmH5jjFn8/o0q93fqYrQFAAAAAAAAAAAAAAAAYHmr/g1Hix4zxrxb0lcsy7KaPckY83lJPyJpkzHmrKSDkvySZFnWpyW9R9LPG2MKktKS3r+S+gEAAAAAAAAAAAAAAAC0V7seOPpZSfdIKhpj0pKMJMuyrNhSJ1mW9W+Xef2Tkj7Zpj4CAAAAAAAAAAAAAAAAWKW2PHBkWVZnO+oBAAAAAAAAAAAAAAAAsLF52lGJKfu/jDEfWfz5CmPMG9tRNwAAAAAAAAAAAAAAAICNoy0PHEn6PUlvlvSTiz8vSPpUm+oGAAAAAAAAAAAAAAAAsEG05U+qSXqTZVk3GmP+VZIsy5oxxgTaVDcAAAAAAAAAAAAAAACADaJdv+Eob4zxSrIkyRjTJ6nUproBAAAAAAAAAAAAAAAAbBDteuDoE5L+UtJmY8x/k/T3kn69TXUDAAAAAAAAAAAAAAAA2CDa8ifVLMv6P8aY70i6RZKRdMCyrOfbUTcAAAAAAAAAAAAAAACAjaMtDxwZY3okjUv6vO2Y37KsfDvqBwAAAAAAAAAAAAAAALAxtOtPqj0taULSCUknF79/xRjztDHmB9rUBgAAAAAAAAAAAAAAAIB11q4Hjh6V9GOWZW2yLKtX0jslPSLpP0j6vTa1AQAAAAAAAAAAAAAAAGCdteuBox+0LOtvKj9YlvV1SW+2LOufJAXb1AYAAAAAAAAAAAAAAACAdeZrUz0jxpj/IunPF39+n6QxY4xXUqlNbQAAAAAAAAAAAAAAAABYZ+36DUc/KWm7pIck/aWkKxaPeSW9t01tAAAAAAAAAAAAAAAAAFhnq/4NR4u/xehBy7J+yqXIi6ttAwAAAAAAAAAAAAAAAMDGsOrfcGRZVlHSTmNMoA39AQAAAAAAAAAAAAAAALCBrfo3HC16WdI/GGOOSEpWDlqW9UCb6gcAAAAAAAAAAAAAAACwAbTrgaOXFr88kjrbVCcAAAAAAAAAAAAAAACADaYtDxxZlnWoHfUAAAAAAAAAAAAAAAAA2Nja8sCRMeZvJVn1xy3Lurkd9QMAAAAAAAAAAAAAAADYGNr1J9X+k+37kKR3Syq0qW4AAAAAAAAAAAAAAAAAG0S7/qTad+oO/YMx5l/aUTcAAAAAAAAAAAAAAACAjcPTjkqMMT22r03GmNslxZs474+NMePGmOMurxtjzCeMMS8aY44ZY25sR38BAAAAAAAAAAAAAAAAtKZdf1LtO5Ksxe8Lkl6R9O+bOO9PJX1S0udcXn+npF2LX2+S9PuL/92QSiVLr0wlNZbIaGtXSLPJvEYSGQ3EwxociMnn89SU2RIL6creqDweU3N8c2dIXo80MpfRQDykYkkan68tn8sVdez8nEYTGW3rCskjo1dn0xqIhbRna1yBgLemb4VCScMjc4t1XuiPvZ6t8ZC6wn6NzWe1uSOodKGoszPpmvL2enb0hJXOlcrXaGvXqUy2UJDP69VYIqv+WFDxsFcvT6Z1RU9YhaLVdH1ufbeXrxlL23Vs7w4r5PNqYiFbM8b9nUFNp/Mamcvoiq6wIkGfJhey6o+FNJ/J6/xcRtu6wjKSzs6Wx6Mr4tP52cb7XDluv1fNzBd7f5o5F8DqzaYzOjGa1Fgiqy2xoHb3R9UVDq13ty5pbjmuntO67vGYhnMl6ZWppKaSWQW8HqVyRfXHQkrlCppO5ZXJF3Vlb1R+r6mun1s7QxoeTWh8Pqt4xKeg16tEJq8dPVFd0RXWiYl5zaTy8hhLfq9XE/NZ9XYEFPZ7NZfOKeTzKZkrqDcaVL5Y0lwmr6t6o5JlaXQ+q6lkTps7g5JKkjyaXMhqc2dQxZKlRKagK3uiyhaLGp/PqCcSVDJX0EK2oO5IQOlcQX6fR7GQX9dvWXpf4Jb77OrzYF8soLHEhbG6WPmk2ft8MS3Xh1LJ0qnJpE5PJxUN+LQlFtT2rojOzKQ0lsgoEvApVyyqJxK8sB9YzPuTyaxioYByhZL647VzsdLeju4LdS03Bva+VvZ106nG+2Rvo75/Ewvl8slsUR1Bn9KFgmaSeV3RE1bA69Wr0ykFfB55PVLI51U46NFCpqTJhay2doXVGfRptK7v9riq32/ar29TR1CpXEEjcxlFAl5Fgz71RgMyRhqdyyqZK+iq3qiKJUtnplMKBTwK+bzKFYsK+32aWsgpuNi3gM+rvlhA0/PlvVN935zGunLMfj83dwbl80kjM1mNz2c1EG/c/1bG3X6d9feqmTLtthHip11Wci1OcTA+f2Gu90aD2tEd0dnZlMYSi/OqJ6L5XEGjc+V1Ol8saTaVV0fQp2jAq9l0Tt2RgHJFSxPzWfV1BmVMSZbl0fh8Vps6AuV55/Hqus2dOj+f0Vw6V47BZFa90aBKstQbDWp7PKznRxOaSGYVD/k1lcypM+jT1nhI27oien4soUSmnCOmkjkNxMO6rq9DL0zML7lOFwolDZ+f07m5tDZ1BJXJFxQPBZQtlrSQLWhnd0ReWw6rX1uc1hrJfT26mO8pLqe526pLaQxWsif73lhCM4v7qqt7o9rZG3Wch1PJrIyMppNZbYldeO87EA/JsqTx+XLs7uyOyOMxOjWZVEfYK2MZZQuLOWHxXKfPRyIBn4qlkoolS3OZvOIhvxKZvEI+r0IBr7L5gvxebzUGK/vHSn6IhXwK+ryaTeeVzhUUC/vk83g0nyloR09Es6m8RhMZ9XWWYzHkL+eTrbGwnh9LNMRyqWTp9FRS5+fSyhWL6gj4NZPK1fRfct6PnZspj0u+YOnUVFIhv0cdQZ/6YgFlc5bOzKSq+5MdPc3v/TY63l+tHcZ6bSykM3rONs6v64+q4yKNM/d0baTTeT07mqiO857+mMJh/3p367KzlvOZ2MHlJpHO6Hu2OX19f1Qx5jSwocynM3reFqc39EfVSZziEtaO/dSqHjgyxrxB0quWZV21+PP/LendKj9w9Nxy51uW9W1jzJVLFLlT0ucsy7Ik/ZMxpssYM2BZ1shq+n0xlEqWvjY8qnu++F3t3tyhf/umnTp0dFiZfEkhv0f3HxjS/j1b9Y0XxnXPF79bPf7Ae1+vt9+wRV9/fqzm+N237NJXnx3RO/cM6MHHTtaUv3lXn44cH9F9Dx+vKf+5fzytmVROh+8c0oG9W6v/6FIolPTQM+d070PHa/rz46/r19HhUdd67N/ff2BI+wYH9MjwiO596Li6IwHd9eadNX07fOeQ7hjs1189N1pT5l/PTOmWGwZ08MiF8Ti0f1D//NKkdvXH9OBjJ5uqb7m+H75zSPuHBvT4yYmmxrL+uL0PTv2xj8fBOwb15MuTesPVm2ru88E7BvX5fz6tE+MLeuC9r9ftg/2OH+za54tT/UudC2D1ZtMZff34hO47YltD9g/p7UN9fDDRIqd1zWktc8tJfZ0B/ez/errm3IDP6GOPPKf33bRDn3i8vDb//NuuVjJXrFmf77ltt/7kH15RwGf0Cz+yq+a+2tfWj905pHSuoCPPnNO7b9yhQ4/Urt9eWbrv6HMNeeL/+sEdKlqmZr0/tH9Qv/fNF3V6Kt3Qzj237VZXyKcXRhdq+vmhm3fpC0+d0U+9aadOTSb1jhv6HfcFt163WUeePd8wRge+b1vNP249dOx8TR48tH9QYZ/Rf/7K8SXvwVrc54tpuT44vf5r77xekaCvZkwr9+P9b9hR3Q/8+ZNnqvOtUu6TP/n9yhWsan07e8P6pZt31dTlNgb2vlT2Fs20Ye/fv/+hq5TOl/Txb5xomJv7vm+rHni09nhv1C9jPPqIy/7u/gND+vN/Oa2br++vxpV9z+N0ffX7w/54SEGfR7/5te8pV7D00z90ZU0/7rltt/o6g/rVrzxVU0dfZ0AvTRjXvjmNQ2Ut+MU/+9fqsV95x3Xq6wjoP3/52Zp9YGX/Wxn33/za8w1jXblXkpYtczEe1lvv+GmXlVyLUxzUr42Pf29U//dbrtLZmbTjvrx+jt19yy71Rvw6OZ6sOX54/6A+ZVubD94xKK+xdHo6pWOvTumazV01a/+Hbt6l7746pVtft1Wf+tuT+sk37myItW3dYT3yzFn96HUDOvTI07a2hvSpb56stlW/Tjvlu9/4N3t0cjyp3/6bFxxzmD32nGLRKUbuPzCk3338pGM+atf8upzmbqsupTFYyZ7sq8Mj1birzLtf/NFdNet0fd6w752+fnxEP3r95oa9mf29tlPec/t85OC+QX356TMNbd1z225tiQX1X2zr/v0HhhQP+/VLn//Xat9/7m3X1uzX7rlttx555nzDZwGVHPvTb7lKPR0B/ee/ONbQt2+/NKGTYwuu/T/wfdtUKlmO+7F/fmlSe6/o1n//2vdq9iLhCV9DDty1pUNvvaZv2b3fRsf7q7XDWK+NhXRGf+0wzj821Nf2h464p2sjnc7r6PHRhnG+Y6ifh47aaC3nM7GDy00indHXHOb07UN9PHQEbBDz6Yy+6hCn7xzq46EjXJLatZ9a7ScXfyApJ0nGmLdK+g1Jn5U0J+kzq6xbkrZJetX289nFYxvOK1PJ6gdlH3zrNdUPuSQpky/p3oeO69j5uWqZyvF7vvhdDY80Hn/wsZP64FuvqX4oZi//7Mhc9QMte/l33bhdmXxJ9z1cbqtieGSu+sGVvT/PjiaWrMf+/b0PHdeztnredeP2hr7d93C5zvoyP/WDV1UfNqqUPXhkWO95w45qHc3Ut1zf73u43Mdmx7L+uL0PTv2xj8eho+X+19/nQ0eH9cG3XlO9V69MJZedL071L3UugNU7MZqsJlBpcQ05clwnRom7Vjmta05rmVtOmk8XG849dnZO+/Zuq/4Dz7tu3K7JZK5hfX7g0RN6143btW/vtob7al9bP/LwcU0mc7rrLVdX/8G5Uu7Q0WFFgn7HPBEJ+BvW+4NHhrVv7zbHdh549IQiQX9DPz/x+Ent27tNDzx6QifHF1z3BcfOO4/R8MiF3H7sfONe4OCRYXVFg8veg9Vo9j5fTMv1wen1yWSuYUwr98O+H7DPt0q5Y2dr79O+vdsa6nIbA3tfKnuLZtqw928ymas+AFF5rdLnyoMW9uORgL/6j5n24/Y93V1vubomruxz1en66veHpyaTKpXKZd914/aGfjzw6Amdmkw21BHy+Zbsm9M4VNYC+7Hf/psX9OJEbf32/W9l3J3GunKvminTbhshftplJdfiFAf1c/2ut1ytk+MLrvtyx7ke9Dccv69ubT50dFiRgF8vTizo1sFtDWv/Jx4vv1e57+Hj2rd3m2OsvTi+oJ/6wasazr3vyPGaturXaad8d2rqwsNGlWP2HGYv7xSLTjFy70PHXfNRu+bX5TR3W3UpjcFK9mT2uJPK865+na7PG5Xjh44O6wM/fJXj3my53Or2+cihR4Yd23rg0RN6qW7dv/eh43r23FxN3+v3aw88esLxs4BKjv3vX/ueXhxfcOzbsbNzS/Z/eGTOdT/2njfsqD5sVDk+mcw55sBjZ+ea2vttdLy/WjuM9dp4zmWcn7sI48w9XRvPjiYcx/nZ0cQ69+zyspbzmdjB5eZ7LnP6e8xpYMN43iVOnydOcYlq135qtQ8ceS3Lml78/n2SPmNZ1pcty/qIpGtXWfeKGGN+xhjzlDHmqYmJibVsWpI0lshUb0Y6W6h+X5HJlzRqK2M/PjLnfNy9nqzjcWMufD+WyFRfc6t/rIl67N/b2zVGy9ZZKTOTzDuWnVpYWX3NHHcbG7exTOcKjn1w6499PCbnXdrKFarfj89n5GTMZS7Y63c7t93WO3aA9bDU2tIsYqeW27pWv5a55aTk4tppP1ayGtfmkuW+Pjezdpcs9zzt1Id0tqCkS3ljnH/O5EtLnlPph9u+wPX43IWxdCszk8o3HGtnPmn2Pi9nNfGzXB+cXl9q3tj3A05zqP5ct3nmNAb2vlTOa6YNe//cXnOdx8vM1/pz6/vTbBwlc4Ul465kqeFYMrd039yu1akup2OV/W9l3Je6V82Uabd2xM9GyT0ruRanOKg/L50r1Nz/Zvblza7NycW6J+ad+zy7+F5lqbns9n6mvi37Ou2U71aSw1a6Vjj93K653K61f71dzNyzkaxkT9Zsjku7rN+zyfyyecqtTre9jFt+Wy4XuPa9iT2ZU98q1+Xa/7mM6zXYP+uoWCrHNbP3W0/NxE473l+hOYz12mjXOBM/GwfjvDaIHaB1fF4NrC9yD16L2jWnV/3AkTGm8mfZbpH0uO21Vf25tkXnJF1h+3n74rEGlmV9xrKsmyzLuqmvr68NTa/MllhIIX95OCNBX/X7ipDfowFbmZrjcefjbvX0x4KOxy3rwvdbYhd+zdVAPOxYfksT9di/r2+3mTpDfo96on7Hsr0dK69vueNuY+M2lpGAz7UPy41NX6dzW+GAr/r95k7nXze2xWUu2Ot3O7fd1jt2gPWw1NrSLGKnltu6Vr+WueWkaMDXcKzyVz/s5b1m+fV5qdc8xj1PO/UhEvQpGnIub1nOP4f8niXPqfTDdV/gcrw/bsvtLmW6I/6GY+3MJ83e5+WsJn6W64PT60vNm/r9QLPnurW/VF9X2oZlub/mOo+Xma9O5zZzffVxFA34loy7+r8wVImxpep2u1anupyOVfa/9nF3u1fNlGm3dsTPRsk9K7kWtziw/xwJ+Bru/3LnNLs2RwM+eYzU1+nc5y7bexW3+ef2fqa+rZp12iHftZLDVnK+U33tmMvtWvvX28XMPRvJSvZkzea4+vfNleNdUX9TeWol+x23/NZsLmi2PvuerP61/lio5rrc9mVu11D/WYe0dI5rZu+3npqJnXa8v0JzGOu10a5xJn42DsZ5bRA7QOv4vBpYX+QevBa1a06v9oGjz0v6ljHmYUlpSX8nScaYa1X+s2qrdUTSXabsByXNWZY10oZ62+7K3qgeeO/rFfJ79IfffkkH7xis+XDq/gND2rM1Xi1TOf7Ae1+vwYHG43ffskt/+O2XdPctuxrK7xmI6/CdQw3lv/L0WYX8Hh2+c0h7t8arfRsciOn+A0ON/emPLVmP/fv7Dwxpz0C8Ws+Xv3O2oW+H7yzXWV/mf//TKR3aXzseh/YP6i+ePFOto5n6luv74TvLfWx2LOuP2/vg1B/7eBy8Y1BfevJMw30+eMeg/ujbL1Xv1ZW90WXni1P9S50LYPV290d1eH/dGrJ/SLv7ibtWOa1rTmuZW07qDHsbzt27Pa6jz5zTh26+sDb3RgMN6/M9t+3WV54+q6PPnGu4r/a19WN3DmlTNKDPPvGyDu5rXL9T2bxjnkhl8w3r/aH9g3rk2DnHdu65bbdSmXxDPz908y49cuyc7rltt3Zt7nDdF+zZGncco8GBC7l9z9bGvcCh/YOaTWaXvQer0ex9vpiW64PT673RQMOYVu6HfT9gn2+Vcnu2196no8+ca6jLbQzsfansLZppw96/3mhAH751t+PcvOe2xuOpbF4fW2J/d/+BIX32iZdr4so+V52ur35/eNWmqDwe6ZFj5/Tl75xt6Mc9t+3WVZuiDXVkCoUl++Y0DpW1wH7sV95xna7tq63fvv+tjLvTWFfuVTNl2m0jxE+7rORanOKgfq5/9omXde3mDtd9ueNcz+Qbjh+uW5sP3jGoVC6va/s69I3hcw1r/4du3qX/80+ndPjOIR195pxjrF27uUP/+59ONZx7eP9QTVv167RTvruyN6pfecd1rjnMXt4pFp1i5P4DQ675qF3z63Kau626lMZgJXsye9xJ5XlXv07X543K8YN3DOpP//6U495sudzq9vnIwX2Djm3dc9tuXVO37t9/YEh7tsVr+l6/X7vntt2OnwVUcuz/c/v1unZzR0O9e7fGtWd7fMn+Dw7EXfdjf/HkGf0/t1/fsBdxyoF7t8eb2vttdLy/WjuM9dp4ncs4v+4ijDP3dG3s6Y85jvOe/tg69+zyspbzmdjB5eZ6lzl9PXMa2DBucInTG4hTXKLatZ8ylmUtX2qpCsoPAg1I+rplWcnFY7sldViW9fQy535e0o9I2iRpTNJBSX5Jsizr08YYI+mTkm6XlJL005ZlPbVcn2666SbrqaeWLdZ2pZKlV6aSGp/PaCAe0mwyr9FERv3xkAYH4vL5PDVlNneGdGVvVB6PqTne1xGS11P+tdr9sZCKJWliobZ8LlfUsfNzGkuU2/Iao7OzaW2JhbR3a1yBgLemb4VCScMjcxqdq+2PvZ7+eEjdYb/GF7LaFA0qUyjq3Ey6pry9nu09YWVy5V83bm/XqUy2UJDP69V4IqstsaDiYa9OTaa1vTusQslquj63vtvL28fSfh3busMK+byaTGZrxnhzR1Az6bxG5zLa1hVWNOjTVDKrLZ0hzWfyGpnLaKArJI+Mzs2m1R8LqSvqLx+332fbcfu9ama+1PSniXNbtGyF6xU7wHqYTWd0YjSpscV1aXd/VF1h1/+LeMn4IXbK3HJcPad13eMxDedK0itTSU0ns/J7PUrliuqPhZTKFTSdyiuTL+rK3qj8XlNdP7d2hjQ8mtD4QlbxkE9Bn1eJTF47eqK6oiusExPzmknl5TGW/F6vJuaz6u0IKOz3ai6dU8jnUypXUHc0oELRUiKTL/fFsjQ6n9V0Mqe+jqBkSpI8mlrIalNHUCXLUiJT0JU9UWWLRU3MZ9QdCSqZK2ghW1B3JKB0riCf16N42K/rt8SW3Be45T67+jy4ORbQeOLCWG2JXZx80ux9XnRRcs9yfSiVLJ2aTOrMdFKRgE9bYkFt74rozExKY4mMIgGv8sWSuiPBav6t5P2pZFadoYDyxVJ1DCXVtLeju1xXM2Ng72tlXzeTarxPlTac+je5cKF8JOBVplDUbLKg7d0hBXxevTqdUsDnkdcjhXxeRYIezWdKmlzIams8pM6QX2N1fbfH1UC8dr9pv77eaFCpXEGjcxmFA151BHzq6QjIGGl0LqtUrqAre6Mqliy9OlPuR9jnVb5UVMjv09RCrtq3oNervnhA0/PlvdNAXd+cxrpyzH4/N3cG5fNJIzNZjS9k1e+w/62Mu/0662OimTLt1s74We/cs5JrcYqD8fkLc70nGtSO7ojOzqY0lijPq509ES3kChqdy6o3GlC+VNJsKq+OoE/RgFdzmbziIb/yJUsT81n1dQblMSWVLI8m5rPqiQbk80p+j1fXb+7U+fmMEumcCiVpOplTTzQgS5Z6o0Ftj4f1/GhCE8ms4iG/ppI5dQR92hoPaXtXRM+PJTSfySno82kqmdNAPKTr+jr1wsT8kut0oVDS8Pk5nZtLa1M0qGyxoM5gQLli+U/CXdEdkc+Ww+rXFqe1RnJfjy7me4oVzt31ti65ZyNZyZ7se2MJzSzuq65afCDTaR5OJbMyMppO5rSlM1h979sfC8mypPH5cuxe0R2Rd3FfFwl65ZFRtlBU2F+Ony2xYMPnI5XcV7IsFYpWNb4TmbyCPq/Cfq+yxYL8Hm81Biv7x0p+6Fzc982l80rlioqFffJ5jOYzBe3oiWg2ldfofEZ90aAyhYLCfp/6OoPaGgvr+bFEQyyXSpZOTyV1fi6tfLGkaMCnmVS+pv+S837s/Gx5XPIFS6emkgr5PeoI+NQXDyibK+fLyv5kR0/ze7810nLuWeH7K6wCY702FtIZPWcb59f1R9XR4mcGEvGzEaTTeT07mqiO857+mMJh//InYkXa+XmbROzgtSWRzuh7tjl9fX9UMT6vBtptVblnPp3R87Y4vaE/qk5yDy5h7di7rfqBo42IRAo44oEjoHW8gQNaQ+4BWkfuAVpD7gFaR+4BWkPuAVpD7ACtY98GtIbcA7TOMX7W5X+XAgAAAAAAAAAAAAAAAHBp4oEjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAAAAATeOBIwAAAAAAAAAAAAAAAABN44EjAAAAAAAAAAAAAAAAAE3jgSMAAAAAAAAAAAAAADaobVfskDFm1V/brtix3pcC4DLiW+8OAAAAAAAAAAAAAAAAZ+fPvqr3/cETq67nCz/7ljb0BgDK+A1HAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAADwGrHtih0yxqz6a9sVO9b7UgAA68i33h0AAAAAAAAAAAAAAKyN82df1fv+4IlV1/OFn31LG3oDALhU8RuOAAAAAAAAAAAAAAAAADSNB44AAAAAAAAAAAAAAAAANI0HjgAAAAAAAAAAAAAAAAA0jQeOAAAAAAAAAAAAAAAAADSNB44AAAAAAAAAAAAAAAAANI0HjgAAAAAAAAAAAAAAAAA0jQeOAAAAAAAAAAAAAAAAADSNB44AAAAAAAAAAAAAAAAANI0HjgAAAAAAAAAAAAAAAAA0jQeOAAAAAAAAAAAAAAAAADSNB44AAAAAAAAAAAAAAAAANG1dHzgyxtxujHnBGPOiMeb/cXj9A8aYCWPMdxe/Prge/QQAAAAAAAAAAAAAAABQ5luvho0xXkmfknSbpLOSnjTGHLEs67m6ol+wLOsX17yDAAAAAAAAAAAAAAAAABqs5284eqOkFy3LetmyrJykP5d05zr2BwAAAAAAAAAAAAAAAMAy1vOBo22SXrX9fHbxWL13G2OOGWP+whhzhVtlxpifMcY8ZYx5amJiot19BS5bxA7QGmIHaB3xA7SG2AFaR/wArSF2gNYRP0BriB2gNcTOBduu2CFjzKq/tl2xY70v5TVhI9wv4gdo3br9SbUmHZX0ecuyssaYn5X0WUk3OxW0LOszkj4jSTfddJO1dl0ELm3EDtAaYgdoHfEDtIbYAVpH/ACtIXaA1hE/QGuIHaA1xM4F58++qvf9wROrrucLP/uWNvQGy9kI94v4AVq3nr/h6Jwk+28s2r54rMqyrCnLsrKLP/6RpB9Yo74BAAAAAAAAAAAAAAAAcLCeDxw9KWmXMeYqY0xA0vslHbEXMMYM2H7cL+n5NewfAAAAAAAAAAAAAAAAgDrr9ifVLMsqGGN+UdLfSPJK+mPLsoaNMYclPWVZ1hFJHzLG7JdUkDQt6QPr1V8AAAAAAAAAAAAAAAAA6/jAkSRZlvXXkv667th9tu9/VdKvrnW/AAAAAAAAAAAAAAAAADhbzz+pBgAAAAAAAAAAAAAAAOASwwNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmsYDRwAAAAAAAAAAAAAAAACaxgNHAAAAAAAAAAAAAAAAAJrGA0cAAAAAAAAAAAAAAAAAmuZbz8aNMbdLelCSV9IfWZb13+teD0r6nKQfkDQl6X2WZb1ysftVKll6ZSqpsURGW2IhXdkblcdjHMsWCiUNj8xpZC6j7d1hhXxeTSxka86z17e5I6h0oaizM2lt7QrLKll6dTatK7rDMpLOz2W0szesbN7SaKK2zs2dIXk90shcRgOxoCYWchpNZNUfCyoW9urkeEpb4yF1hf0am89qa1dI44msRhNZbe8KqSPo12Qyq03RoBayeZ2dzbge39ETVr5Q0kgiqy2xoLZ2B/XqVEbbe0Iamc1qbPF4b9Srk+NpXdETVqFoaWQuo6s3hTWbLmoskdVAPKiusF8TCzlFAj7likVtiQU1nsiVr68rJMno7GxaV3SFZTzS+dmMBuJhdUV8Oj+b0bbuULX8QCykPVvjCgS8yuWKOnZ+rnw8HlJvNKCRudp7Zr8/A/GwBgdi8vk8K77f9rau6AorEvRpsv6exEMqlqTx+eXnTX27W7tCmk3mNZJYWT8lNT1XV6uZsQQuJbPpjE6MJqvr2e7+qLrCofXu1ppYbt2rf31Hd0RnZlJLlj81mdTp6aTiIb/8XqNkrlizRlbqOTub0lgiq1yxqFjQr2SuqGiwnB82dwY1k8zr3GxaPR0B9UR8yhYsjc5l1BsNaj6bV9jvldcYTSZz6o0GNJfJKx72y8goWygo4vdpPltQJl/SQDwkIymdL2oqmVMk4FU85NemmF/nZsq5bFtXSD6vUTJb1KaOoJLZgsYXsuoK+zWVzKknGpDXlOQ1Xi3kisrki7p2U1Qlla9rPlNQX2dAyVxBIb9PxWJR0WBAllVUviiNJbLq6wwo5Pfq/GxGmzuD8nik7kigmjP6YyHNZ/IaS2TVFfErlS9fx2w6r1jIry2xoHb0rO2a38w8WQ9OuahUsnTs/Fx5n9UZlNdjFA16NJcuajyRLe8ROsp7hEjAp0w+L2M8ms/k1RUJaC6VVzToU0fIq0yupOlUTl1hvzKForbGwvJ6TcP+oqIyRlPJrIJejyYXcooGfdoSC2p714W4qeyBAl6vcsWieqPBmrja3BFUrlTUTDKvhWxB0YBPHUGfcqWSeiJB+bzS6FxWyVxBO3ui2tkT0StTSb0ylVQ05JOskrwerybms9reHVYk0LhPqfSh0vbp6ZROTyfVEfSpM+RVIl1UMlfQFV0RJXMFnZ1Nq68zKKOSfB6vphZyikX8skqWZtN5DXSFVCpZGp3LqjPkU0/Ur92by3sD+75pU0dAnSGfMrmS5jJ5XdUbVbFk6cxMStGAT9GgV/liSR5jlMoVXedaoVDS8Pk5nZtLa1NHUFtiQW2LL7022a1033Wpa1f8rjRfbI+H9fxYwvG9UX0uqZSdSmbVGwlqIVfQQragrohfUb9PqXxRfq/R+HxWYb9XXRG/8gVLiUxevdGg8sWSUvmCYiG/phZyigS9SuUK6okEVLKk8fms+jqCslSS3+NVrlhSMpdXNOhXNl/SQrag3o6AOoJedYR8Gp3NaiqZUzziVy5f1I7uiEoySmRyshbriwS86okGFPZ7NbmQUzJb0KaOoFL5vDzyKJkr6MreqAqL4xLyexXwGgW8HiUyeYUC3vK15YoaX8iqNxpQZ9Cn3Zs7FQh4a8b1zHRSUws5pfPl2ByIhdXd4dPITFaTyay2dUWqc7fZ+11ZQ6eSWcVCAeUKJW2J1ebqdq317c4hGzEnVVysvjnVWypZem5kTufnMoqFfRqIhbWzyfac9nenp1M6PZVUKOBR0OtVb0egmr+mklkFvB6lcsXqe93p1IVj/bGQ5rN5nZ/NqKfDr5DXW82D0aBXM6mcAl6vokGvSpYljzGazxQ0lcxpc2dQ6XxBYb9P/fGgisVyjFXy3BVdYb08Pa/5dHkPFw34FAl4JBmNz2e0qSOokmXJ7/WoZFnK5EtK5QrqDPkU8fuUzBWUyBQUDfrUFfbJ6zFKZAoqFC2lcgVt7w4rX7S0kM3J7/VV9wtdYb9OL+anzR0BZYtFTSzklcwWtDUe1vVbOvXqbFqnp5OKBHwK+zyaSpX3k/OZUsNnFoVCqfZ+dYZkPO77iotlreInmc5qeHSh+v5qsL9D0XCw7e3gtf1edi2t5ThzT9dGOp3Xs6OJ6jjv6Y8pHPavd7cuO8QO0LqFdEbP2eb06/qj6mBOAxsKuQeXm3bM6XV74MgY45X0KUm3STor6UljzBHLsp6zFfv3kmYsy7rWGPN+Sb8p6X0Xs1+lkqWvDY/qni9+V5l8SSG/Rw+89/W6fbDf8R8+HnrmnO596Li6IwHd9eadevCxkzXnvf2GLfr682M19d19yy597h9PayaV09237NJXnx3RO/cM6MHHTmr35g792zft1KGjw4513n3LLv3Ly1N6+9CADh0drh4/vH9Q//TSpP56eEx337JLJ0cTetM1m3TwiHs99naXO354/6DCfkuvTqd035Hads9OL+jUZFIPPnZSb76qR7fvGdBBWxn79d637wa9MpnSRx4+vmybB+8Y1ImRWV2/taumvsN3Dmnf4BY9Mjym+2z1HLxjUJ//59M6Mb6gB977et163WYdefa87n3oQpn7DwzpwPdtq/6jUjP3O5cr6qFj53Xfw8732a3/bvOmvl37PV9pPwM+o1/8s39tqs3VsM91tz4Cl5LZdEZfPz6h+44ct61nQ3r7UN9lvzlcbt1zev3+A0P63cdP6vRUesnybmvk5/7xtAI+o//09ut0diatP3/yjN530w594vEL5f7rj92glyeSNev9of2D+r1vvlht91dvv17ZYkkPPHqiWubDt+5W2O/R//yHU/r/v+UqpfLF2vx155A+9bcX+n73Lbu0rSusz/3jKZ2bzTb099feeb3S+ZI+/o0TNXNDKum+I8+pOxLQL/zoNZrPFGrO++gdg/qL75zUu2/coZfGR7W7v7tmftlz1G/8mz16OjWr3/6bFxzH7OAdg/r0t4Zr+vy6rZ1KZktN7U/WYp6sB6dc9Fvv2atcoVRz7DffvUe5glWz17CP/8F9g/ry02d02+sG9PFv/GvNXI0GvPr9b72smVROH751t+596Lh+6k079Sf/8IpmUjnHuf+bX3teP/nGnTVz5p7bdmsgHtKv/MWx6rEP3bxLX3iqPPcf/96o3v/GndV+7+wN6+fedm3NXuDuW3Yp4vfqj584pZ9727X69LfKsbCzN6xfunlXzTVXYiVXsFxjcCaV04du3tV025Vz6uNwqT3ky5Mp3bKrT0eHRxv2aH6v9LknTjue1x8L6X88dsJxjXG794f2DyoSmKsZY7c5utJ916WuXfHbSr6orLlOc7E+lxy+c0hffPK07ti7TS+MLtSUvffHb1C+aOk3v/Y913n6a++8Xrmipf/36y/U5YS0fv2r36tZJ7L5kj75tycX80RtWx+7c0hBv0f/2TaXPnzrbp2eSunIM+f03pt21Lz/ObR/UNl8saaNj94xqN//VjkGf/qHrqzJU5W1xRijvzs5pltvGKip7+Adgzo3l9aP7tqsQMCrUsnS4y+M6fxMWsnchZy2szesX/iRXTW55f4DQ9q/Z6u+8cL4sve7Eke/+/jJhhxsj/l2rPXtziEbMSdd7L451fs7P/F6laxSzbp39y27tGtLh26+bsuy/7OLvT6nXFKZq93RgD77xCndfH2/PvH4yepexb5/s+9f3PZ/lRx215uv1NV9EY3O5WpiuJyPT+rfvflKTS7k9Nt/80JD3Nbn8kourOTVx783qnf/wI5qvW45bVtXSLOpvH79q9+r9vex50f17ht36NAjT7t+VtMfD+l/fONENf/+4o/uavgs4+resL77aqLhM4s7Bvv1V8+NNoxxZ8inT/3tS22Lt1bm0sVoN5nO6q+Ojze8v/rxoc08dNRmr+X3smtpLceZe7o20um8jh4fbRjnO4b6eeiojYgdoHUL6Yz+2mFO/9hQHw8dARsEuQeXm3bN6fX8VP2Nkl60LOtly7Jykv5c0p11Ze6U9NnF7/9C0i3GmIv6ieIrU8nqBzGSlMmX/3HvlalkQ9nhkbnqh0fvunF79QM2+3nDI3MN9T342Em968bt1e8/+NZrqud+8K3XVD8cc6rzwcdO6gM/fFW1TOX4fUeG9Z437KiWec8bdlQ/8HKrx97ucsfvOzKsLbGO6ofj9uM/tGtLtfwHfviqartO1zuayFY/oFuuzUNHh/WOPdsa6rvv4eM6Pjpf/Ycse/kPvvWa6tgfO3/h/lTK3PvQcQ2PzK3ofh87P1dtayVj6TZv6tu13/OV9vPY2bmm21wN+1x36yNwKTkxmqwmUKmynh3XidH2x89Gs9y65/T6vQ8d176925Yt77ZGvuvG7dq3d5tOjpf/kXff3m3Vf+islJtYyDas9wePDNe0O5XKVf8Rt3Ls4984oclkTvv2btNUKteYvx6u7fuDj53UixMLuustVzv2dzKZqz44Uq3jyHFFAv7qNY7PZxvO++jRYd31lqt16JFh3Tq4rWF+2XPUqalk9R/VnPpw6OhwQ5/n08Wm9yftsJL90FpxykUvji80HHtpItmw17CP/6FHyveq/j4/+NhJTSZz1T3Lx79xQvv2btMDj56oHnOa+/v2bmuo64FHT+jk+ELNsU88fmHu3/WWq2v6vW/vtoa9wIOPndRUKld9rTIn9u3d1nDNlVhZKgYrfWi27co59XG41B7yxNi8nh1NOO7RQj6f63mnppKua4zbvT94ZLhhjN3m6Er3XZe6dsVvK/misuY6zcX6XHLfw8d111uudly7x+ez1YeNJOd5OpnMVR82qhyr5IT6deIji/1yausjDx/Xi3VzqVLPXW+5uuH9z8Ejww1tfPTohRisz1OVtWViIauf+sGrGuo7dHRY+UL5N7VVxvXY2TlNJmv7um9vY26596HjOna+8f2m0/2uxJFTDrbHfDvW+nbnkI2YkyouVt+c6v3lL323Yd178LGTOnZ2btn26utzyiWVuXpyvLxPqsyTSjzb5449xt1yTyWH/fbfvCCv8TTEcCUfvzRxYV9Uea0St0vtjyo5zV6vW057cSJZjdtKfyv7NrdYePCxkzo1mazJv06fZcQiQcfPLJ4dTTiO8fh8tq3xtpy1ip/h0QXH91fDowttbQev7feya2ktx5l7ujaeHU04jvOzo4l17tnlhdgBWvecy5x+jjkNbBjkHlxu2jWn1/OBo22SXrX9fHbxmGMZy7IKkuYk9TpVZoz5GWPMU8aYpyYmJlru1FgiUx3UivKH3pmGsiNzF8oaI8fz7GXsxyuPTWXyJaVzhWqZdLawbJ2zybzj8amFbPX7yfnssvXY22rm+Ni8+9hUjs+49K1yvSVrZX2ZcGlzLJF1ridXqH4/6nIvR+cu3Mtm7re9HtexzDn332ne1Lfrdu3N9LNkqeGYW5tumokdt3ls7yNwKXFbQ8YS2abraFfeWWvLrXtur9sf93Ur77ZGGlN+rZIDnMq55Qd7u25lSlZt/cv1vWRJ6VxhRf1ILuaXpdqp5AK33FXJUfbzlxqzmvZdcsVK1/xmrWQ/1IpW4scpFzndi6XuT/V7l/GszKXKz5X7Yz9WP/fd7qFTjq6UrW9/qTrq+7BcnC2772yy7fpxqBnLJcbPbX1N5gqu+yX7uFeO2eea2z6k2X3QSvddG1kzsdOu+F1Nvmh2bUvnCk3F8UrW6/p5Yc89zZ5TzRVLzPWVXHfJKrft9l4pmStoLHFhXCvlm4lVt/c89fe7EkfNxPxq1/p255B21Xcx9m4XK1+u5P1f+U8ILt1efX3LzVWnzyXs57h9X19X5bVpl7nf7BpQKb9cPlruuuxl3OLbHgv2/ORW98S8+/uKZvYaF2svV9GOOdpc7ln9+ys0h7FeG+0aZ+Jn42Cc1waxA7Tutfx5NbARkHvwWtSuOX15/N0ASZZlfcayrJssy7qpr6+v5Xq2xEIK+WuHJeT3aHNn46+NGoiHa8o6nVdfpnLcsi58Hwn4qmUiQd+ydXZF/Y7HezuC1e/7OoPL1lPf1nLHlxqbyvEel75VrtdrVtYXe921fQk6Hg8HfNXvB1z62x+/cC+bud/19Tj2P+Defyf2dt2uvZl+1v8G9KXadNNM7LjNY3sfgUuJ2xqyJdb8r/tvV95Za8ute26vW1Zz5ZvNAfXl3PKDvV23MpW1sJk6KuXt+aKZfkQDvmXLhBdzgVvuqrRZf34zfY6GVpZnVmsl+6FWtBI/TrnI6V4sdX8q37vlXo9RzR7Nshr3bU5zv9kcXanPrX23/jjNCae6m3mt2bbrx8H+2lLj57a+RgM+1/2Sfdwrx2r2Yi77kGb3QSvdd21kzcROu+J3tfmimbUtEvCtKI6bKVM/L+zlmj2ncmypub6S6/YYyWPc3ytFAz5tiV0YV69pbgxCfo/6m7zf9jha7r6tdq1vdw5pV30XY+92sfLlSt7/eYyWbc+tPqe6nOa+09xZbi9jz2Fucz+8wjWg2Xzkdl3NnGuPBaf8VF++/rOXynG3fFi/17hYe7mKdszR5nLP6t9foTmM9dpo1zgTPxsH47w2iB2gda/lz6uBjYDcg9eids3p9Xzg6JykK2w/b1885ljGGOOTFJc0dTE7dWVvVA+89/U1H6g98N7X68reaEPZwYGY7j8wpJDfoy9/56zuvmVXw3mDA7GG+u6+ZZe+8vTZ6vd/+O2Xquf+4bdf0sE7Bl3rvPuWXfrTvz9VLVM5fnj/oP7iyTPVMl968owO7V+6Hnu7yx0/vH9QY3MLOry/sd1/ODlWLf8nf3+q2q7T9W6JBfWxO4eaavPgHYP62rPnGuo7fOeQhvo7dbiunoN3DOqPvv1Sdez3bI1X70+lzP0HhjQ4EF/R/d6zNV5tayVj6TZv6tu13/OV9nPv9njTba6Gfa679RG4lOzuj+rw/to5fXj/kHb3tz9+Nprl1j2n1+8/MKRHjp1btrzbGvmVp8/q6DPndO3mDt19yy4dfeacPnRzbblNHcGG9f7Q/sGadnsiAd1z2+6aMh++dbc2RQM6+sw59UQCjfnrztq+333LLl3b16HPPfGyY397owF9+NbdDXMjlctXr7GvM9hw3kfvGNTnnnhZB/cN6tHhcw3zy56jruyN6lfecZ3rmB28Y7Chz50hb9P7k3ZYyX5orTjloms2dzQcu7ov2rDXsI//wX2D+uwTLzfc57tv2aVN0UB1z/LhW3frkWPndM9tu6vHnOb+0WfONdR1z227tWtzR82xD928S48cK8/9zz7xck2/jz5zrmEvcPctu9QbCeiRY+dq5sTRZ841XHMlVpaKwUofmm27ck59HC61h9y9pVN7+mOOe7RMoeB63lW9Udc1xu3eH9o/2DDGbnN0pfuuS1274reVfFFZc53mYn0uOXznkD77xMuOa3dfZ1D/5fbrl5ynvdGA/tPbr3PMCfXrxMfuHHLNEx+7c0jX1s2lSj2ffeLlhvc/h/YPNrTx0TsuxGB9nqqsLX0dQf3vfzrVUN/BOwbl9xnt3Rqvjuue7XH1Rmv7evSZxtxy/4Eh7d0ab+p+V+LIKQfbY74da327c8hGzEkVF6tvTvX+zk+8vmHdu/uWXdq7Pb5se/X1OeWSylzdtblDn33i5eo8qcSzfe7YY9wt91Ry2K+84zoVrVJDDB/cV947Xd13YV9Uea0St0vtjyo5zV6vW067ti9ajdtKfz+7uG9zi4W7b9mlqzZFa/Kv02cZiVTW8TOLPf2NuevuW3Zpc2ewrfG2nLWKn8H+Dsf3V4P9HW1tB6/t97JraS3HmXu6Nvb0xxzHeU9/bJ17dnkhdoDWvc5lTr+OOQ1sGOQeXG7aNaeNZf/ftdbQ4gNEJyTdovKDRU9K+knLsoZtZX5B0h7Lsn7OGPN+Se+yLOu9y9V90003WU899VTLfSuVLL0yldT4fEabO0O6sjcqT/3/SrioUChpeGROo3MZbesOK+TzajKZrTnPXt+maFCZQlHnZtIaiIdkWdLZ2bS2d4VlTPlX3e/oDSubtzSWqK2zryMkr6f8J776O4OaWMhpLJHVllhQsbBXL46n1B8PqTvs1/hCVgPxkMYTWY0lstrWFVJH0K+pVFa9kaAWsnmdm824Hr+iO6x8saSRxfq3dgd1djqjbd0hjcxmq+32Rr16cTyt7d1hFUqWRucyunJTWHPposYSWfXHguqO+DWxkFMk4FW+WNLmWFDjiZzGEhlt7QrJyOjcbFrbusLyeKSR2Yz6YyF1Rf0amSuXqZTfEgtp79a4AgGvcrmijp2f01iiXL63I6DRRO09s9+f/nhIgwNx+XyeFd9ve1vbusKKBn2aqr8nsZCKJWliYfl5U9/uQDyk2WS+XM8K+imp6bkqyb0zi5aKnWbGEriUzKYzOjGarK5nu/uj6gq7/p++S8bPavPOWltu3at/fUd3RGdmUkuWPzWZ1JnppGIhv/xeo2SuqM2dF9bISj1nZ1MaS2SVLxbVGfQrlS9W80NfZ1AzybzOzabVEw2oJ+pTtmBpdC6rnmhAC9m8wn6vvMZoOplTdzSguUxe8bBfRkbZQkERv0/zi38ioz8elEdG6XxRU8lyHoqF/OqL+XVuJqvxRFZb4yH5fEbJbFGbOoJKZguaWMgqHvJrOpVTdyQgr6ckr/FqIVdUJl/UNZuislTO2QvZgjZFA0rlCwr6fCqWiooG/JJKyhWlsfms+joCCvm9GpnLaFNHUD6P1BUJVHPGls6Q5jN5jSWy6or4lcqXr2MunVdnyK8tsaB29Kx4zb/o86RJq8o99ZxyUalkVXP05s6gfF6jSMCjuXRR4/NZ9cdC2tQR0MhcRhG/V5lCQUYeLeTyiocCmkvnFQ361BH0KpMvaSaVUzzsV7ZQVH8sLJ/XNOwv6sdoOplVwOtZnGc+bYkFtb2rHDdjiYwiAa9yxZICXo/yxZJ6osGauNoUDSpfKmommddCthwTHUGf8qWSeiJB+bzS6FxWqVxBO3qi2tkT0StTSb0ylVQ06JMxJXmMVxPzWW3vCitSt08ZmctU46zS9unplM5MJ9UR9Kkj5FUiXVQqV9D2roiSuYLOzaa1qSMoY0ryebyaWsgpFvbLkqW5VF798ZBKVjk+O0M+dUf9um5zTD6fp7pvGk1k1BsNqDPkUzZfUiKT15W9URVLll6dSSkS8Cka9KpQLMkYo1SuqC0x57lWKJQ0fH5O5+bS2hQNaks8qG3xpdcmu5XuuzaIlnNPm+J3xfliezys58cSju+N6nNJpex0MqueSFALuYKSmaK6IuXfhpUuFOUzRhMLOYX8HnWF/coXLSUyefVEAyoULaXzBXWG/JpO5hQOeJXKFdQTDqgkaXw+W57DKs/hXLH8p8uiwfJ8XMgW1BsNqCPoVUfYp7HZrKaS5XmeKxR1RXdElozmMzmVLGliPqtwwKueSEDhgFeTC7lye9GAMvnyupLMFXRlb1SFkqXTU0kF/V4FvEYBr0eJTDmHRQI+pXJFTSyUc1tH0KfrNncqEPDWjOuZ6aSmFnJK54uLsRFUT4dfIzNZTSaz2hYPa3Bree42e78ra+h0MqvOUKD83qwuV7crt7RrDrZYX1tzT5v7tqp6SyVLz43MaWQuq46QV1vjYe1ssj2n/V0lFwR8HoV8XvV2BKr5azqZld/rUSpX1EC8/F53JnXhWH8spPlsXiOzWXVFfQr7vNU8GA14NZvOye/1Khr0yrIsGWM0nyloOplTX2dQmXxBIb9P/fGgisVyzFby3BVdYb08Pa/5dFHTybwiQa8ifo8sGU0uZNQbDcqyLPm8HpUsS5l8SalcUZ0hryJ+n5K5ghKZcrzHwz75PEaJTEGFoqVUrqht3SEVipYWsnn5vd7qfqE77NeZxfzU1xFQrljUxEJeyWxBA/GQbtgS06uzaZ2ZTioS8Cno82gmldXWrpDmM6WGzywKhVLN/RqIheTxuO8rLpZ2xs9SsZNMZzU8ulB9fzXY36FomP/T92JY4XtZtKidnxlIS8cP93RtpNN5PTuaqI7znv6YwmH/enfrskPsAK1bSGf0nG1Ov64/qo6L+Hm1MUbv+4MnWuztBV/42bdovf6t2c3lem1c19KavC5yD2DTjr3buj1wJEnGmB+T9D8keSX9sWVZ/80Yc1jSU5ZlHTHGhCT9L0nfL2la0vsty3p5uXovtX/4BdbImn7wDlxmLqsHjoA1RO4BWkfuAVpD7gFaR+4BWkPuAVpD7ACt44GjJVyu18Z1LW0tHjgCXuMc48e31r2wsyzrryX9dd2x+2zfZyT9xFr3CwAAAAAAAAAAAAAAAICzDfm3AwAAAAAAAAAAAAAAAABsTDxwBAAAAAAAAAAAAAAAAKBpPHAEAAAAAAAAAAAAAAAAoGnGsqz17kPbGWMmJJ1e734sY5OkyfXuxBp6LV3vRr3WScuybl+qQJOxs9Guj/4sb6P16VLsz5Lx04a8s9HGpBWX+jVc6v2XNuY1tCP3bMTrqncp9FG6NPpJHy+42LnnYroU7qObS7nv0qXd/3b1vV3ve9rZp/V0OVyDdHlcx6VwDe3IPZfCdda7FPssXZr9vlz7fLl+5tYM+rw2Ltc+X66xQ3+WttH6I228Pq3V59Ub7brXwmvtmrneRuSetUF/lrbR+iOtIn4uyweOLgXGmKcsy7ppvfuxVl5L13u5X+tGuz76s7yN1if6szH7sFqX+jVc6v2XLo9rcHIpXNel0Efp0ugnfbw8XMpjdCn3Xbq0+78R+74R+7RSl8M1SJfHdVwO19CMS/E6L8U+S5dmv+nzxmmrXejz2qDPG6etZtCfpW20/kgbr09r1Z+Ndt1r4bV2zVzv5dFWM+jP0ujP8lbTJ/6kGgAAAAAAAAAAAAAAAICm8cARAAAAAAAAAAAAAAAAgKbxwNH6+cx6d2CNvZau93K/1o12ffRneRutT/Sn0Ubow2pd6tdwqfdfujyuwcmlcF2XQh+lS6Of9PHycCmP0aXcd+nS7v9G7PtG7NNKXQ7XIF0e13E5XEMzLsXrvBT7LF2a/abPG6etdqHPa4M+b5y2mkF/lrbR+iNtvD6tVX822nWvhdfaNXO9l0dbzaA/S6M/y2u5T8ayrHZ2BAAAAAAAAAAAAAAAAMBljN9wBAAAAAAAAAAAAAAAAKBpPHAEAAAAAAAAAAAAAAAAoGk8cAQAAAAAAAAAAAAAAACgaZflA0e33367JYkvvviq/VoWscMXX65fSyJ2+OLL9WtZxA9ffLl+LYnY4Ysv169lET988eX6tSRihy++XL+WRfzwxZfj17KIHb74cv1aErHDF1+uX8sifvjiy/XL0WX5wNHk5OR6dwG4JBE7QGuIHaB1xA/QGmIHaB3xA7SG2AFaR/wArSF2gNYQO0DriB9gZS7LB44AAAAAAAAAAAAAAAAAXBw8cAQAAAAAAAAAAAAAAACgaTxwBAAAAAAAAAAAAAAAAKBpPHAEAAAAAAAAAAAAAAAAoGm+9WzcGPPHkvZJGrcsa8jhdSPpQUk/Jikl6QOWZT29mjZLJUuvTCU1lshoSyykK3uj8nhMy3Vs7ggqXSjq7ExaV/SEVShaGpnLaFtXWMWSpbOzaV3RXf7+/FxGW+MheYzRqzNpXdUXUTpb1Ggiq/5YUGG/V6emUtrRE5ZlSaOJjLZ3h5UrlHR+LqPtXSGVLOncbEY7e8PK5ksaTWS1JRZUZ9CrlyZTuqI7rHy1DyEZSWdny997jPTqTEZXdF+o59rNEc1nihpLZLU1HpLXSK/OLrYl6fxsRltiQW3q8Oq5kZSu6btQ3l7/QDwov8ejMzNp7d4S0Vy6XGZLLKiOoFdj81lFAz6NJ7Lqjwfl93p0ZjqtqzdFlMyVy+7oCStfLGlkLquBeFABn0enp9K6sjesjO1aB7qCOjud0dZ4UGPzOY1Vxi/g1StTKW3tCing9ejsTFrbu8vnjsyV+9gdDmh8IVtz367aFK72tzJO1TGT0auzaV27OaLEYpnKfajcT5+3fD/t5QdiIfXFAjo3k9FAPKRiSRqfr5sv3WFlF+9teSzL9fTHgtozEFco5KuZa/Z6IgGfcsWi+jqC1WOtzudm5XJFHTs/p9FERgOxkPZsjSsQ8F6UtoC1MJvO6MRosrpW7e6Pqiscans7zeSdVnNTq3WXSpaGR+Y0lcwqFgooVyipPx7Sju6Izs6mNLWQU6ZQVDZf0s7eqHb2RHRmJlWtY0d37c9X9kYlSa9MJTWVzCrg9SiZLSoa9CmRzikU8EqWNLGQ1bZ4WEXL0uRCTuGAV0GfUUfQp0LRUipflJE0m84r7PcqHvarULS0kM0pHPBrYj6r/nhIPo9RJl9UvmgplSsoHgkoncsr6PMqEvBpPlPQfKagvs6A/F6jbMHS1EJOHUGfuiM+pfMljc9ntakzqGyhoJDPp9l0Xl1hv/weo/NzGfV1BpXOFxT2+zSXyqknGlRJlmZS5XJz6Zzi4YBmUnn1dQRULJU0uZBXX2dAhVJRAY9PqXxR85mCNncG5fMYnZtLqzcaUMDrUSKTVzjgUzJbUE8koIVcQclsQV2RgNK5gmIhv5K58vlbYkF5jNFkMquucPl+bYmFFPBLIzNZjc9nNRAv552xRFZhv1fJbFHJXEE7e6K6alNrucFtfrVjL7WSPpyZLsdpMlfQNX1RTcznNJ3KqTvsV75gaaArpFSuoOlUXulcUfGwTz1Rn2ZSF/YikaBHRkbFkiWPMZrPFDSTymlzZ1DJbEEej0exkE/FoqXR+Yw2dQSVyOTVEfTJ5zHyez1KZgtKZAra2hXW9Zs7dXYurbFEOSdn8nkFvF4t5IpKZsv3zO/1aCFb0NRCTn2dQYV8Ho3NZxXxexUKeOT3eJTMFTWVzGlrPKRI0KOZZF5z6YIiAa86gj7NZ/LqDPkV9Hs0nylociGnTR0BhX0eSUaFUkmFkpTO5xX0+TSXzquvIyif12hkLqPNnUEZSZPJnHqjASWzRWUKRfVGA0otnpPNl5TKFdUV8Ws+k1dfZ1D5gqWJhaziEb9y+aJiYb+yhZJmU3n1RMtzNBr0STKamM+qI+RTZ9CrZC4vv8enVL6goM+rdL6gjqBfc+m8okGvjKSw3ytjjCYXsuoI+pRIFxQNeRUN+Kp1ZfJFhfw+9ceC2t5VXpfG57OaS+XVEfKpaBUV9vs1tZBT2O9VKGAU9vk0ny00rEn2devsbEpjiawy+YIiAZ9SuXKM54rl9qaTWW2JhTU4EJPPd3H+v4y1ip/VtFPzXqczJK9Hi3vpUM2+c3s8rOfHEppKZtUTCSqTL2k+m1dnyCevxyiVLagrHFAqX9TmzpD8PmkykVMyX1ShVFTY51MiU1As7FPE71U6X5TXU47TiYWc+jrK6+XYQlY9kUB1Ta60l8zlFQ8FVCiVFtfioDweS5m8pelkTr0dAcXDPs2mCppOluO9pJJ8xqtkrqBUrqjNnUGl83nFw0GlckVNLeTUE/XLGKPZVE6RgE/xsE/5YjlvdYZ8yhYKiocCyhZLSqTLa3nE75ExRgvZgjL5onqjQc1n8wr5vcrmi+oM+ZUrlvt5RVdYqXxRE/NZbeoIKpMvaHt3RMlsQefnyvvsQsnSbDqnrnBAJVnV9ztb4kGNzGQ1mcxqW1dEgwMxeTxGpyaTOj2dVEfQp0jAq5JlKZsvaSyR1ebF92NnptMaiIfVFfEtvsdzzt+pXNFxziw1p5xeq9Tbrrm+1rmnHfFjP7dQKGl4ZG4xlsLVe7fU2JdKVvXeRgM+bYkFlcwVNJPMayFbUDzsVyzsUypX+74wEvCpZJXkMaY8zzuCKlhFzaTKOWlTZ7A8n6IhHR9NaDSRUW9HQD6P5DMebYoFlM1ZOjOdUtDnUcBv5DMeTVVySa6ohWxBPdGAFrJ5xUJ+Fa2ijLyaTubUHfFLkubSeXVFAgr6PIqFjKaSJc2ly3GVKxQVDvg0uZBVdzSgaMCjbL68z+qO+DWbyqsz7FMmX5DX41XAaxT0GeWK0vhibvcYaWIhpy2dQSXzRaWzRcUifklF+YxPyVw5HjtDPnUEfcrkS5pYyKo3Wo67oN8rj7FkVM7PmzuDCniNJhZyiof91XUjXywplS/vFxcW93XJXHlP0NvhV8Dj1Wgio3DAq0jAq5Dfq3yxpO5IQIVi+XOMyr60N+rVQlaaSeWUzhe1NR7WDf3lnGOfO5X3+73R4EWd6+22Vu+vwFivlbUcZ+7p2phPZ/S8bZxv6I+qk3FuO2IHaN1azenXYuy81q6Z6728rxfYaNb1gSNJfyrpk5I+5/L6OyXtWvx6k6TfX/xvS0olS18bHtU9X/yuMvmSQn6PHnjv63X7YP+KPkCsr+PuW3bpq8+O6J17BvTgYyebOv4vL0/p7UMDOnR0uHr84B2DevLlSb3h6k06dHRY3ZGA7nrzzqbqPLR/UP/80qR29cea7sP4XErpXJfuOzK8bPnD+wflUVHHzhZ08Ih7306OJpTKbdJBW52H9w+qM+TTz//vp2uu9cTIrFK5Lh08Mqzdmzv0b9+0s2Y8lupLLp/TmelATTsH7xjU5//5tE6MLyx53Z/7x9OaSeWq/X3TNZuWvaZkduky9jor37dyTyrnHt4/pDuG+vW3L07qni9+17HdD9+6W2G/R7/+1e+1PJ+blcsV9dCx87rv4eMX7sOdQzqwdysPHeGSNJvO6OvHJ3TfEduc3j+ktw/1tXUj2kzeaTU3tVr3H/y7GzUxn9PvPn5S77tphz7x+IV15f4DQyqVSppK5mvWm/sPDOl3Hz+p01Np7ewN65du3qV7Hzpe027AZ/SxR55rqNO+VnVHAvrpH7pSDzx6ombtiwa82hwLajyRra5pO3vD+rm3XatPf+vFap3dkYB+/m1XS5KSuWLDmvhn/3K6es7pqXQ1Z3zqm+Wfb9oZ10/ctKM2d+wb1JefPqmbr+/XF546o/e/YYc+94+nFfAZ/dxbr9WhRy7krntu262g16MPff5fq8d+9fbrdXoqWXNNH7tzSOlcsmZ9tq/xlXp+42vfc1zfD+8f1OmpVM35v/bO65XOl/Txb/xrdXx+4Ueurcnhh/YPqivk1ctT6Zr6WskNbvPr7Tds0defH1vVXmolfXj8hTGdHFvQg4+d1Juv6tHtewb0e99snBP18+Hw/iF96psna+ZBPOyVjEezqXzNHPjQzbuq9z4a8Or3v/WyZlK56vH/eOtu5Qul6ljv7A3rF350VzUn7uwN6z/eulujc5maPnzsziF98m8v9MG+T3ngvd+nuXShuu/Z2RvWf/iRa2v6dfctu9QfC+l3Hz+p9960Q1986oyeOj1XrWtLLKDJ+Zw+ZRsPt/nWFfLpxfGFav8u9Hm+ps//9cdu0CtTKf3237zgOD6VOp32IL/2zusV8nv1qW8O63037dAXnjrT0K97btutkM+jTZ1BnZ/N6P/9+guOfba3eXVfVGdn0jV9OnjHoD79reHq2FbWkcq9++RPfr9yBatmnt5/YEipbEH/8x9O6SffuFN/9i+nXft5/4EhHfi+bW1/6Kgd70Uudjsrea9z+M4hffHJ07pj7za9MLpQ89q9P36DktmiPv6NE9U5d89tu3V+NqM/f7JxzD9255CCPimVs/TRuvcDbmty/dzc1hWsWeNv2hnXe2/a0bBOGlm678hz1WO//Z69Ojeb1X0PN+71y2vtrpr9Qnn+p2vm/2+8a48m5rM1uaCSlyrz7KfetFP/+OJkw3vAD9+6u7rmL/VeI+AzDX352J1D2hwL6Gf/19O2+TuoYkk168mh/YP62rMj+sdT0zVrUSVWfvNrzzfcE/ucWWpOSXJ8LeAz+sU/+9e2zPW1ip3VtuV27q3XbdaRZ8/X7J3uPzCkvs6A7nt42HHsnfLtof2DyuaLNXPvntt2qyPo1fPnEzXHD+4b1Ke/fWH/Ux8Lv/nuPcoVLH3E9v7u4B2DigaMXppM1vT17lt2qTfqV6Fk6eT4QsP+69HnRqr1O83h33rPXuUKpere02ndPbR/UF966oxuvr6/5rg9zrd2hfTAoydq8urXj4/ojVf31sRsea1J1PTho3cM6vdt+8MP3bxLj39vtGFfWNmj/dLn/7V6LfY1q5nPA/rjIUX8Hp2dSensTO3e4LfevVejiUzNWvHf/s0e3TE0oG+8MF5zvyvX/l9uv+GizPV2W6v3V2Cs18pajjP3dG3MpzP6qsM4v3Ooj4eO2ojYAVq3VnP6tRg7r7Vr5nov7+sFNqJ1/ZNqlmV9W9L0EkXulPQ5q+yfJHUZYwZabe+VqWT1AxxJyuRLuueL39UrU8lV1fHgYyf1wbdeU/0gqZnjH/jhq6ofNFeOHzo6rPe8YUf1+Ltu3N50nQePlM9dSR/esWdb9UPH5crfd2RYO3pj1Q/j3Pr2njdc+MDOfm6xpIZrfceebdWyH3zrNQ3jsVRfdvd3N7Rz6OiwPvjWa5a97nfduN2xv81ck1sZe52V71u5J5Vz7ztyXM+OJqpzzandj3/jhCaTuVXN52YdOz9X/YfV6n14+LiOnZ9re1vAWjgxmqxuQCVV4+7EaHvjp5m802puarXu+XRR9z50XPv2bqv+g07ltXsfOq5IwN+w3lTKS9K+vduq/whlb/fY2TnHOu1r1btu3F79B5bK6w8+dlKTyZwKRVX/oazSzqGjwzV1vuvG7ZpM5jSZzDmuifZzKsfvO3Lh57vecnVj7nhkWHe95Wp94vGT2rd3W3Ut3rd3mw49Ulv2gUdPaCpVu+5OpXIN1/SRh483rM/2Nd5ej9P6ft+R4YbzJ5O56j/cV8anPocfPDKsWCTYUF8rucFtfg2PzK16L7WSPhw7O1e9ng/88FU6eMR5TjSO4fGGeRALl39zT/0csN/7yWSuep8qx09NJmvGet/ebTU5sVKmvg8febi2D/Z9Sqmkmn3Pvr3bGvr14GMndWoqqbvecrXuO1Kep/a6fB5PdX7Xx139fIsEa+Parc8TC9nqgz1O41Op02kPMpnM1fTHqV8PPFo+r1RS9WEjpz7b28wXrIY+1cd5/b07drZxnt77UDku9+3dVl0v3Pp570PHNTzS/j1OO96LXOx2VvJe576Hj+uut1ytqVRjDI7PZxvWrJcmynPOacw/8vBxdUWC1YeN7G27rcn1c7N+ja/ETv06GQn4a46dHF/QfQ877/XLa21tznOa/6cmkw25oH6ePfDoCcf3gPV50u09glNfPvLwcc2nizXHQj5fw3py8MiwPvDDVzWsRZVYcbon9jmz1Jxye+3Y2bm2zfW1ip3VtuU6FufnGvZO9z5UvnduY++Ubw867A8eePSERhPZhuOHHqnd/9THwksTyerDRtVzjg6rKxJs6OuDj51UJODXaCLruP+y1+80h18cX6jZezpd88EjF/ZjbnH+0kSyIa9+4IevaojZylpjr+ejdXnjE4+fdNwXOu3R6vcdy30ecGoyqXxRMvI0jsXEQsNa8V//8lkdO994vyvXfrHmerut1fsrMNZrZS3HmXu6Np53GefnGee2InaA1q3VnH4txs5r7Zq53sv7eoGNaF0fOGrCNkmv2n4+u3isgTHmZ4wxTxljnpqYmHCsbCyRqS44FeUPxDNNd8itjnS2sKLjs8m84/HJhWz1uDFaUZ1TtnObKT8x73ItOefyY7bybn2bnHfuQzJXWLL9lY7f2BJ9X+5cY5z728w1uZWx11lTv9s9cRlj+7nlP/mxdLslSw3HVjKfy3UvHzujLvN+LLGytoCNwh5fFZW4a1a78k6ruanVupOLa6PbupJcZu1caj1abq1a6vVk3bpYKWs/xxipZJW/3Ppo72t9311zTa7QcH6z665bX5zWZ/sa38yYLNWOa85yyTsrzQ1u82tkbvV7Kan5+LFf98zi3slpTiw1Zys/Ty5kl5zf9nlsP77c2K+kD5V9Sn0/lpoHlfmZtu2lMvmSph3Gw6ltp7h263OzsbXUHHWK3fprWm6dsZ+/XFl7vZVjS8Vlff/c+jk61/49Tjvei1zs9zwrfq+TKzQ1l+xzzm3Mp13eHy21JtvvY30f3fpc/77E3len+F5NLqifZzMu17hcTlhqDOqvxy1mZlP56veV9WS5e1KZM0vNKbfX2vE+paIdsSOtX/y4vZdK5gquY++Wb53GtbI3qj++1P7Hbc66xWHSJdYr88kthuxtLbfuLvX+vX6dr7xWH1Mrysku7dXHY/2+Y7n8VdnXOsWiW9/c5kilvVZjp12ai53Vv79CcxjrtdGucSZ+Ng7GeW0QO0Dr1u7z6tde7LzWrpnrvXi5B4Czjf7AUdMsy/qMZVk3WZZ1U19fn2OZLbGQQv7aSw75Pdrc2fyvVHOrIxL0reh4V9TveLyvI1hzfCV19tadu1z5zZ0u1xJwLl9/7Y7973TuQzTgazhmb3+l4+d2H8KL7Sx1rmW597eZa1quzpr63e6Jyxjbz90SW77d+t+qvtL5LDUXOwMu470lxq8jxKWpPr6kC3HXrHblnVZzU6t1R0MX1h/H9Tq09Prkdl5lPVpurXJ7PeqyLtaf4zXlL7c+OvW18rNbXggvtl1/fjPrrltfnNZne73NjEkz7dT/vMkl76w0N7jNr4H46vdSUvPxY7/uHtveqX5ONDNnN3UEl5zflXGvz+nNjH2zfajsU9z6Uf+zx6g6P8O2vVTI73Edj/q23eLaqc/NxtZyc3SpfnmM+/XXj/1K1iT7vVsuLpvpZ3+8/XucdrwXudjveVb8Xifga3ouOc0Re109Lu+PllqT7XOzvo9ufa5/X1Lf12Zjc7nrre/fUte4XE5Yagzqr8ctZroi/ur3lfVkuXtSmTNLzSm319rxPqWiHbEjrV/89Lscj9reu9a/NhAPNz2uHqMl9x1OseA2Z93maNQl1ivrwFIx1Gx+WOr9e/06X3mt26G/zeZkt/ac4nG5NaI+P0YDvqZz71JzpHLtrcZOuzQXO6t/f4XmMNZro13jTPxsHIzz2iB2gNat3efVr73Yea1dM9d78XIPAGee5Yusq3OSrrD9vH3xWEuu7I3qgfe+vuZDowfe+3pd2RtdVR1337JLf/jtl3T3LbuaPv6nf39KB+8YrDl+8I5BfenJM9XjX/7O2abrPLR/UH/x5JkV9eFrz57T4f2DTZU/vH9QZyYTOrR/6b596ckz1TL2c70eNVzr1549Vy37h99+qWE8lurLiZGZhnYO3jGoP/r2S8te91eePuvY32auya2Mvc7K94f2l+/nSu5J5dzD+4e0pz9WnWtO7X741t3aFA2saj43a8/WuA7fOVR7H+4c0t6t8ba3BayF3f1RHd5fN6f3D2l3f3vjp5m802puarXuzpBX9x8Y0tFnzulDN9euK/cfGFIqm29Yb+4/MKRHjpXT79Fnzun+A0MN7e7dHnes075Wffk7Z3XPbbsb1r5N0YB8XunX3nl99bWjz5zTwTsGa+r88nfOqjcaUG804LgmPnKsfE6lr5WcUfn5s0+83Jg79g3qc0+8rA/dvEuPHDtXXYuPPnNOB/fVlr3ntt3qjdSuuz2RQMM1fezOoYb12b7G2+txWt8P7x9sOL83GtCHb91dMz71OfzQ/kElUtmG+lrJDW7za3Agvuq91Er6sGd7vHo9f/L3p3Rov/OcaBzDoYZ5kEhn5feahjlgv/ebooHqfaocv3JTtGasjz5zriYnHn2mXKa+Dx+7s7YP9n2Kx6hm33P0mXMN/br7ll26qjeqzz3xsg7vL89Te12FUkmH68bDfq59vqUytXHt1udNHUH9yjuucx2fSp1Oe5DeaKCmP079uue28nkeI/2nt1/n2md7m36vaehTfZzX37s92xvn6f0HynF59Jlz+vCtu5fs5/0HhjQ40P49Tjvei1zsdlbyXufwnUP67BMvqyfSGIN9ncGGNevqvvKccxrzj905pNlUVh91eD/gtibXz836Nf6zi7FTv06mcvmaY9f+f+3deZxkZXn//e9Ve+89+8owrAIDBM1IRE1EUIPI4i5GY8zPxLhEUYw/yaMPCJon7olGjRoX1LiiRgdFiUFcEWWCODCMAjIss++91349f5xTPdXdVd3V1dVd1T2f9+s1r+k6ddc51znnvu77nFN3nbO8U9dfXvlYP2hrx/Z5ler/+qUdE/qCUr9UivOqZ56qz1U4BxzfT1Y7R6gUy7suP1NdbdEx09K5/IT25LrLNuiGn2+f0BaVcqXSPimvM5PVqWrvnb22p2F1fa5yZ6bLqrotVvdMOHZ693ODfVdt229Y1T1hXtdVOD646pmnamV3csL0ay8Ze/wzPhdOXNahd407v7v20g06MpyZEOuVF56i4WxOK7qTFY+/yudfqQ6ftLxzzLFnpXW+7rIN+nx4PFYtz09a1jGhX73h59sn5GyprSmfzzvH9RtvvOCUiseFlY7Rxh93THU94ISlHYpHJffixG2xrHNCW/FPzztLZ6+e2G+V1n226nqjzdX5FdjWc2UutzP7dG6cXmU7n852bihyB6jfXNXpYzF3jrV1Zn0X9voCrci8/GdezQjAbL2k77r7mRXee46kv5d0saQ/kfQRdz93qnlu3LjRN2/eXPG9YtH18MEh7RtIa3lXSuuXdCgy/ueAUyifx9KOpNL5gnYeHtHaRW3KF117+tJa1ZtSsSjtPDKitb1tKrhrd19aK7tTikZMOw6PaP3Sdo1kC9rTn9HK7qTa4lFtPzisdYvb5B7ckn11b5tyheCW6qt7UnJJO4+ktW5xm7L5ovb0Z7SiO6muZFQPHRjW2t425Yo+Wj5i0o4jaa3pDf5+7HBaa3uPzufk5e0aSBe0tz+jVT0pxUx6LCzvknYdSWtFd1JLO6PatntYJy5t10AmKL+mNyVTMP9V3UnFoxE9dnhEp6xoV99IUGZFd1Kdyaj2DWTUnohp30BGK7qSSsQievTQiE5Y2q7hbFB23eLSuma0qjupRDyiRw+OaN2SNmVyR9d1VW9SOw8Hy9w7kNXe0vZLRPXIwWGt6kkpEYto5+ERreltUzofbL9V3Uktak9o/1BmzH5bv7RtNN7Sdtp5JK1VPSlFzbTjyIhOXHZ0O63tTanoCvZnT0rxaLA/y8uv6E5peXdCu44E+7xQlPYPjq0vaxYF+3B3X7CsiAXzWdGd1FmrepRKxcbUtdJ89g2k1Z6IKlcoamlncnTeNdTnKSv6ZLmTzRa0ZVef9vantaI7pbNX9yiRiE4rd4BWcmQkrfv3DI22Vaeu7FBvW9VfD0+aPzPtd+rtm+qdd7Ho2rq7T4eGMupKJZQrFLWiO6V1i9q148iwDg5mlc4XlM0XtW5xh45f3K5HDw+PzmPdorGvS1+CPHxwSIeGMopHIxrOFtQej2ogk1MyHpVc2j+Y0eqeNhXddWAwq7ZEVImYqTMZU6HgGs4VZJL6RvJKxSPqScWVL7oGM1m1JeLaP5DRyu6UYlFTOldQruAazhbU0xbXSC6vRDSijmRMA+m8BjN5Le1MKB41ZfKuQ0NZdSRjWtQW00iuqH0DGS3rTCpTyCsZi6lvJKeetrjiEdPu/lJ7nVcqFlPfSFaLO5IqynV4OKfetnhQPhXX4ZGclnUmVCi6Dg5ltbQjoYIXFY9ENZwraCCd17KupOIR086+ES3pSCgejWggnVNbIqbhbF69bYnw0RsF9bbHNZLNqzsV11C2oIFMXss7k4pGTAeGMuptC/bX8q6UEnFp9+GM9g0G22V5d0L7+jNKxaMayhQ0nM1r3eIOnbB0+sc6k9WvadbXGfU9xaLr0UNBng5n8zpxWYf2D2R1eDir3ra4cgXXqp6UhrN5HRrOaSRbUG9bTL0dMR0ZDo9FupJqT0ZkMhXdZWYaSOd1eDirZZ1JDWfzikQi6k7GVCi69g6ktaQjqf5MTp3JmGIRUzwa0VAmr4F0Qat6kjptRbd29I1ob39a7fGo0vm8EtGoBrMFDWXyo8c6A5m8Dg5mR+94uG8g2D9tiYjikYiGsgUdGspqZXdKHamIDg/l1D9SUFsios5kTAPpnDqTcaUSEQ2kg3kt7kioPR6RZMoXi8oXpZFcXslYVH0jOS3tTCoeNe3uS2tZZ1IRkw4MZbWkPaGhXEHpbEGLOxJBzLGoMrmihrMF9bbFNZAJPp8vuPYPZtTTFlc2X1BXKq5coajDwzkt7khoJJtXRzImyXRgMKOOZEydiaiGc/mw7gfxpHN5dSTi6kvn1J6IBndsikVlYX3uSMQ0MJJXRzKqjmRM+wcy6kzFlM4V1BaPaUV3Umt7g3Zp30BGfcM5daZiKhaLSsVjOjiUVVs8qmTc1BaPaTCT14rusW1Sebu148hweJvlvDoSMQ1l82qLx5QrFJSMx3RoKKsV3UltWNWjWGx2fpfRyPyZrXOe8s8u60wpGgker1t+TLu8K6W1PW3atrdfh4YyWtSeVDpf1MBITl1tMUUjpuFMXj1tCY3kClrelVI8Jh3oz2ooV1ChWFQyFtVgOq+utpja41GN5AuKmSlfDPqIpZ0JJaIR7RvMaFF7QiO5vNpiMR0azmpRe0LD2Zy6UgkVikHdXNqZVDTiSueCNn9JZ0I9qZiOjOR1aCirZV1JSUVFLaqhbF4j2YKWdgZtfU8qoeFckI+L2uMyMx0ZDuptT1tMuUIQU1cqpky+oJ5UXJlCUf0jebUlomqPR2RmGgwfobS4I6HBTE6peFSZXEGdybhyxeCxZmt62zSSK+jAYEZLOpJK5/Jau6hdQ5m8dvWVtrPryEhWPW0JuVz7wrZsRW9Suw9ndGAoozU9bdqwukeRiGn7gSE9emhIncmY2hJRFd2VyRW1dyCj5V3B+dijh0a0qjul3o64dvdN3n+X8qi8zkxWpyq9V5rvTM67Z1CnZ9z3NCJ/yj+bzxe1dXef9oTnkBtWBftusm1fLProvm1PBG3iUDavw0M5DWXy6m6LqzsV00iuMHpeWDpX9LC/G84WtKwzqYIXdHj4aJ+0oiepFR0p3bunX3v601oSDv6OWkTLuhPKZF2PHhpWIhZRMm6KWUQHh8O+JFvQYCavxR0JDWVy6krGVVBRpogOD2VH76bVN5JXb3tcyWhE3W2mg0NF9Y1k1Z6IKZsvqC0R04EwvzuSEWVyrsMjOS1qi+vIcNCWpHMFRSMRJaKmZMyULWj0mkLEpP2DWa3oSmooV9BIpqDutrhkRcXCPE/niupMRtWZjCmTL2p/Wd4l41FFzCVFtH8go2VdSSUipv1DWfWk4jo0nNXyrqRyhaJGsgUl40GbtawrOHboT+e1pCNop/b2Z5RKRNSWiKotHlW+UFRve0L5QnAdYyAdHJcu7YxqMCMdHs4qnS1qZW9SZ6wM+pxS3dnbf/R8f3FHcsa5U4e6+55pnl9hBtjWc6OR1wwk8qcVDIykta1sO5++skNdbOeGI3eA+s3V9epjMXeOtXVmfWev7wGOcRXzp6kDjszsK5LOl7RU0l5J10qKS5K7f8LMTNJHJV0kaVjSX7v7lBlOQwBURCcK1K/uEzjgGEffA9SPvgeoD30PUD/6HqA+9D1AfcgdoH4ctwH1oe8B6lcxf2JzHUU5d3/pFO+7pNfPUTgAAAAAAAAAAAAAAAAApjA7zwoAAAAAAAAAAAAAAAAAsCAx4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmTR1wZGYXmdnvzexBM7u6wvvrzOw2M/uNmW0xs4ubEScAAAAAAAAAAAAAAACAQNMGHJlZVNLHJD1b0hmSXmpmZ4wr9g5JX3f3x0u6QtLH5zZKAAAAAAAAAAAAAAAAAOWaeYejcyU96O4PuXtW0lclXT6ujEvqDv/ukbRrDuMDAAAAAAAAAAAAAAAAME4zBxytkfRY2esd4bRy75T0cjPbIelmSW+oNjMze7WZbTazzfv37290rMCCRe4A9SF3gPqRP0B9yB2gfuQPUB9yB6gf+QPUh9wB6kPuAPUjf4D6NXPAUS1eKukGd18r6WJJXzSzijG7+6fcfaO7b1y2bNmcBgnMZ+QOUB9yB6gf+QPUh9wB6kf+APUhd4D6kT9AfcgdoD7kDlA/8geoXzMHHO2UdFzZ67XhtHKvkvR1SXL3X0pKSVo6J9EBAAAAAAAAAAAAAAAALWbNcetkZjP+t+a4dXXHEGvg+kzXnZJOMbMTFAw0ukLSX4wr86ikCyXdYGanKxhwxH3MAAAAAAAAAAAAAAAAcEzateMxveSTt894Pl/7uyfX/dmm3eHI3fOS/l7SLZK2Sfq6u281s+vN7LKw2Fsk/a2Z/VbSVyS90t29OREDAAAAAAAAAAAAAAAAaOYdjuTuN0u6edy0a8r+vk/SU+Y6LgAAAAAAAAAAAAAAAACVNe0ORwAAAAAAAAAAAAAAAADmHwYcAQAAAAAAAAAAAAAAAKgZA44AAAAAAAAAAAAAAAAA1IwBRwAAAAAAAAAAAAAAAABqxoAjAAAAAAAAAAAAAAAAADVjwBEAAAAAAAAAAAAAAACAmjHgCAAAAAAAAAAAAAAAAEDNGHAEAAAAAAAAAAAAAAAAoGYMOAIAAAAAAAAAAAAAAABQMwYcAQAAAAAAAAAAAAAAAKgZA44AAAAAAAAAAAAAAAAA1IwBRwAAAAAAAAAAAAAAAABqxoAjAAAAAAAAAAAAAAAAADVjwBEAAAAAAAAAAAAAAACAmjHgCAAAAAAAAAAAAAAAAEDNGHAEAAAAAAAAAAAAAAAAoGYNG3BkZu8zs24zi5vZrWa238xe3qj5AwAAAAAAAAAAAAAAAGi+Rt7h6Fnu3i/pEkkPSzpZ0lsbOH8AAAAAAAAAAAAAAAAATdbIAUex8P/nSLrR3fsaOG8AAAAAAAAAAAAAAAAALSA2dZGafdfMfidpRNJrzWyZpHQD5w8AAAAAAAAAAAAAAACgyRp2hyN3v1rSkyVtdPecpCFJlzdq/gAAAAAAAAAAAAAAAACar2F3ODKzV5T9Xf7WFxq1DAAAAAAAAAAAAAAAAADN1chHqj2x7O+UpAsl3SUGHAEAAAAAAAAAAAAAAAALRsMGHLn7G8pfm1mvpK82av4AAAAAAAAAAAAAAAAAmi8yi/MeknTCLM4fAAAAAAAAAAAAAAAAwBxr2B2OzOwmSR6+jEg6Q9KNjZo/AAAAAAAAAAAAAAAAgOZr2IAjSR8o+zsv6RF339HA+QMAAAAAAAAAAAAAAABoskY+Uu1id/9J+O8X7r7DzN7bwPkDAAAAAAAAAAAAAAAAaLJGDjh6ZoVpz57sA2Z2kZn93sweNLOrq5R5sZndZ2ZbzezLDYkUAAAAAAAAAAAAAAAAQF1m/Eg1M3utpNdJOtHMtpS91SXpF5N8LirpYwoGKu2QdKeZbXL3+8rKnCLpHyU9xd0Pm9nymcYLAAAAAAAAAAAAAAAAoH4zHnAk6cuSvi/pnyWV36VowN0PTfK5cyU96O4PSZKZfVXS5ZLuKyvzt5I+5u6HJcnd9zUgXgAAAAAAAAAAAAAAAAB1mvEj1dy9z90fdveXuvsjkkYkuaROM1s3yUfXSHqs7PWOcFq5UyWdama/MLM7zOyiajMzs1eb2WYz27x///461wY49pA7QH3IHaB+5A9QH3IHqB/5A9SH3AHqR/4A9SF3gPqQO0D9yB+gfjMecFRiZpea2QOStkv6iaSHFdz5aCZikk6RdL6kl0r6DzPrrVTQ3T/l7hvdfeOyZctmuFjg2EHuAPUhd4D6kT9AfcgdoH7kD1AfcgeoH/kD1IfcAepD7gD1I3+A+jVswJGkd0t6kqT73f0ESRdKumOS8jslHVf2em04rdwOSZvcPefu2yXdr2AAEgAAAAAAAAAAAAAAAIAmaOSAo5y7H5QUMbOIu98maeMk5e+UdIqZnWBmCUlXSNo0rsy3FdzdSGa2VMEj1h5qYMwAAAAAAAAAAAAAAAAApiHWwHkdMbNOST+V9CUz2ydpqFphd8+b2d9LukVSVNJn3X2rmV0vabO7bwrfe5aZ3SepIOmt4aAmAAAAAAAAAAAAAAAAAE3QyAFHl0sakfRmSS+T1CPpusk+4O43S7p53LRryv52SVeF/wAAAAAAAAAAAAAAAAA0WSMfqXaNuxfdPe/un3f3j0h6WwPnDwAAAAAAAAAAAAAAAKDJGjng6JkVpj27gfMHAAAAAAAAAAAAAAAA0GQzfqSamb1W0usknWhmW0qTJXVK+sVM5w8AAAAAAAAAAAAAAACgdcx4wJGkL0v6vqR/lnR12fQBdz/UgPkDAAAAAAAAAAAAAAAAaBGNeKRaTtJOd3+puz8iKSXp+ZLOb8C8AQAAAAAAAAAAAAAAALSQRgw4+oGk9ZJkZidL+qWkEyW93sze04D5AwAAAAAAAAAAAAAAAGgRjRhwtMjdHwj//itJX3H3N0h6tqTnNGD+AAAAAAAAAAAAAAAAAFpEIwYcednfF0j6oSS5e1ZSsQHzBwAAAAAAAAAAAAAAANAiYg2YxxYz+4CknZJOlvTfkmRmvQ2YNwAAAAAAAAAAAAAAAIAW0og7HP2tpAOS1kt6lrsPh9PPkPSBBswfAAAAAAAAAAAAAAAAQIuY8R2O3H1E0nsqTL9d0u2l12b2TXd/wUyXBwAAAAAAAAAAAAAAAKB5GnGHo1qdOIfLAgAAAAAAAAAAAAAAADAL5nLAkc/hsgAAAAAAAAAAAAAAAADMgrkccAQAAAAAAAAAAAAAAABgnpvLAUc2h8sCAAAAAAAAAAAAAAAAMAsaNuDIzK6cYtrbGrUsAAAAAAAAAAAAAAAAAM3RyDsc/VWFaa8s/eHu/93AZQEAAAAAAAAAAAAAAABogthMZ2BmL5X0F5JOMLNNZW91STo00/kDAAAAAAAAAAAAAAAAaB0zHnAk6XZJuyUtlfTBsukDkrY0YP4AAAAAAAAAAAAAAAAAWsSMBxy5+yOSHpF03szDAQAAAAAAAAAAAAAAANDKIo2akZk938weMLM+M+s3swEz62/U/AEAAAAAAAAAAAAAAAA0XyMeqVbyPkmXuvu2Bs4TAAAAAAAAAAAAAAAAQAtp2B2OJO1lsBEAAAAAAAAAAAAAAACwsDXyDkebzexrkr4tKVOa6O7fauAyAAAAAAAAAAAAAAAAADRRIwccdUsalvSssmkuiQFHAAAAAAAAAAAAAAAAwALRsAFH7v7XjZoXAAAAAAAAAAAAAAAAgNYUadSMzOxUM7vVzO4NX59tZu9o1PwBAAAAAAAAAAAAAAAANF/DBhxJ+g9J/ygpJ0nuvkXSFZN9wMwuMrPfm9mDZnb1JOVeYGZuZhsbGC8AAAAAAAAAAAAAAACAaWrkgKN2d//1uGn5aoXNLCrpY5KeLekMSS81szMqlOuSdKWkXzUwVgAAAAAAAAAAAAAAAAB1aOSAowNmdpIklyQze6Gk3ZOUP1fSg+7+kLtnJX1V0uUVyr1L0nslpRsYKwAAAAAAAAAAAAAAAIA6NHLA0eslfVLSaWa2U9KbJL12kvJrJD1W9npHOG2UmT1B0nHu/r2pFm5mrzazzWa2ef/+/dONHThmkTtAfcgdoH7kD1AfcgeoH/kD1IfcAepH/gD1IXeA+pA7QP3IH6B+DRtwFN6p6BmSlkk6zd2f6u4P1zs/M4tI+pCkt9S4/E+5+0Z337hs2bJ6Fwscc8gdoD7kDlA/8geoD7kD1I/8AepD7gD1I3+A+pA7QH3IHaB+5A9Qv9hMZ2BmL3f3/zSzq8ZNlyS5+4eqfHSnpOPKXq8Np5V0STpT0o/Dea2UtMnMLnP3zTONGwAAAAAAAAAAAAAAAMD0zXjAkaSO8P+uCu/5JJ+7U9IpZnaCgoFGV0j6i9EPuvdJWlp6bWY/lvQPDDYCAAAAAAAAAAAAAAAAmmfGA47c/ZPhn//j7r8of8/MnjLJ5/Jm9veSbpEUlfRZd99qZtdL2uzum2YaGwAAAAAAAAAAAAAAAIDGasQdjkr+TdITapg2yt1vlnTzuGnXVCl7/gzjAwAAAAAAAAAAAAAAADBDMx5wZGbnSXqypGVmdlXZW90K7lwEAAAAAAAAAAAAAAAAYIFoxB2OEpI6w3l1lU3vl/TCBswfAAAAAAAAAAAAAAAAQIuY8YAjd/+JpJ+Y2Q3u/kgDYgIAAAAAAAAAAAAAAADQohpxh6OSYTN7v6QNklKlie5+QQOXAQAAAAAAAAAAAAAAAKCJIg2c15ck/U7SCZKuk/SwpDsbOH8AAAAAAAAAAAAAAAAATdbIAUdL3P0zknLu/hN3/z+SuLsRAAAAAAAAAAAAAAAAsIA08pFqufD/3Wb2HEm7JC1u4PwBAAAAAAAAAAAAAAAANFkjBxy928x6JL1F0r9J6pb05gbOHwAAAAAAAAAAAAAAAECTzXjAkZmlJL1G0smS1kj6jLs/fabzBQAAAAAAAAAAAAAAANB6Ig2Yx+clbZR0j6RnS/pgA+YJAAAAAAAAAAAAAAAAoAU14pFqZ7j7WZJkZp+R9OsGzBMAAAAAAAAAAAAAAABAC2rEHY5ypT/cPd+A+QEAAAAAAAAAAAAAAABoUY24w9EfmVl/+LdJagtfmyR39+4GLAMAAAAAAAAAAAAAAABAC5jxgCN3jzYiEAAAAAAAAAAAAAAAAACtrxGPVAMAAAAAAAAAAAAAAABwjGDAEQAAAAAAAAAAAAAAAICaMeAIAAAAAAAAAAAAAAAAQM0YcAQAAAAAAAAAAAAAAACgZgw4AgAAAAAAAAAAAAAAAFAzBhwBAAAAAAAAAAAAAAAAqBkDjgAAAAAAAAAAAAAAAADUjAFHAAAAAAAAAAAAAAAAAGrGgCMAAAAAAAAAAAAAAAAANWPAEQAAAAAAAAAAAAAAAICaMeAIAAAAAAAAAAAAAAAAQM0YcAQAAAAAAAAAAAAAAACgZgw4AgAAAAAAAAAAAAAAAFCzpg44MrOLzOz3ZvagmV1d4f2rzOw+M9tiZrea2fHNiBMAAAAAAAAAAAAAAABAoGkDjswsKuljkp4t6QxJLzWzM8YV+42kje5+tqRvSHrf3EYJAAAAAAAAAAAAAAAAoFwz73B0rqQH3f0hd89K+qqky8sLuPtt7j4cvrxD0to5jhEAAAAAAAAAAAAAAABAmWYOOFoj6bGy1zvCadW8StL3q71pZq82s81mtnn//v0NChFY+MgdoD7kDlA/8geoD7kD1I/8AepD7gD1I3+A+pA7QH3IHaB+5A9Qv2YOOKqZmb1c0kZJ769Wxt0/5e4b3X3jsmXL5i44YJ4jd4D6kDtA/cgfoD7kDlA/8geoD7kD1I/8AepD7gD1IXeA+pE/QP1iTVz2TknHlb1eG04bw8yeIentkp7m7pk5ig0AAAAAAAAAAAAAAABABc28w9Gdkk4xsxPMLCHpCkmbyguY2eMlfVLSZe6+rwkxAgAAAAAAAAAAAAAAACjTtAFH7p6X9PeSbpG0TdLX3X2rmV1vZpeFxd4vqVPSjWZ2t5ltqjI7AAAAAAAAAAAAAAAAAHOgmY9Uk7vfLOnmcdOuKfv7GXMeFAAAAAAAAAAAAAAAAICqmvlINQAAAAAAAAAAAAAAgHlhzXHrZGYz/rfmuHXNXhVgxpp6hyMAAAAAAAAAAAAAAID5YNeOx/SST94+4/l87e+e3IBogObiDkcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1Y8ARAAAAAAAAAAAAAAAAgJox4AgAAAAAAAAAAAAAAABAzRhwBAAAAAAAAAAAAAAAAKBmDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANSMAUcAAAAAAAAAAAAAAAAAasaAIwAAAAAAAAAAAAAAAAA1izVz4WZ2kaQPS4pK+rS7v2fc+0lJX5D0x5IOSnqJuz88k2UWi66HDw5pb39aK7pTWr+kQ5GITbtMPWXrWf6qnpQKRWnfQFrLO5MayRe04/CI1i5qU9Fdu46ktWZRm3L5onYeSWtFd1IruxPaeSQz5rNrFqW0rz+rPf1pre5JKRmP6LFDI1rV06YNq7oVi40de5bNFrRlV5/29Ke1qjuls1b3KJGIKp3O657dfdrTn9Ha3pQ6k3EdGMqMiW1VT5t622NhbMFyDw1ntagtrlzetaInpWhE2t2X1urelI4M5bS7Pz3mc+OnJ2LSIwcnzntPX0Z7+zNa2Z3U0s6E9vRnxmzX8m05fvulYlHtH8xU3Q/5fFFbd/dpd1962tupln0+k7pQS11rtOnWdaDVHRlJ6/49Q9rbn9GK7qROXdmh3rZUs8Oal0rt5cGhjLpTCWXzRa3uTSlfcD16aFipRETJaFRLOhNa3d2m+/cPqG8kp6FMQd1tca3sTmrd4g5J0vYDQ3rk4JBSiYjaYlFli0UNpQs6fkmHjl/cru0Hh7T9wJBS8Yi6kjHJpJ62hNYvCT7/yMEh7eob0WAmr2WdSeUKRaVzBfW2JTSULagjGVPRi4pHIupLBzEs6ohrIJ3T8q6UUrGoDo9kFZHp0FBWqXhUHamI4pGo0vmCRrIFpXMFreptk7n02OERLetKKF909Y3ktLQjqaVdCeXyrt39I0pGoxrK5rW4I6lsoaDF7cnRPnBFd0rrFrXr0cPDOjiUUSIaUbZQVDIa0YHBrDqSMa0It02pvR3fFpc+fyy3zVP1T6X3Dw5lZDLtH8hoSWdCK7qTOm7R0T55+4EhPXpoSB3JmDL5glb3tOuEpdW3fa3buvxz7YmYsoWCEtFoxfpQPs9STPsHR5SIRDWULWgkV1Bve1zt8aj60jmNZAta2pnScDYrs4iGs3kt7Uyp6EVFzbSnP6NUPKLF7Qkl41EdCI971i1q1yOHhvXIoSF1JCrXs0cPBe1jNh/kzYHBrLrbYhrJ5dUWj6mnLaaBdEGDmbyOX9yhE5YGOfjQ/kFtPzCkrlRM0YjpwGBWa3rb1JWKaU9/Wsu7jh4HtieCfExEIzoyktNAOq/jFrWpUHTtODKipZ1JrexJKptzPXp4eEyskmo6vqqUI8WiT3mMh9pMlheT7YuOZExedA1m88rkiqNt/GOHh0fb8OVdSRXdlSu4TFK+6BrOFtSZiqk9FpVMSufyMkW0fzCj5d1JdaeiGkgXNJwtKF8sqjsVVyZXVCoetO2L2xOKRU0HB7PqTMZUlI/2Mau7krp3T7/29me0tCuhNb1J7e3PTXqcX74dth8YGs2pVb1JHRrMaeeRES3rSmoom1d3Mq4zVnTpD4eG1D+S02Amr/ZETF3JmCwiuUvD2cKk7Ut5bg5lj+Zere1+eXuYiEamXN50LfTzhZmc1811TDOZx9qeNm3b2z9lG5nPF7V1V5929gXtdalfLRZd9+3u04GhjDqTcR0ZzqktHlVHMjgWXNNztC1Y2Z3SQDqnXeGyTl/RpUcPD2vnkWGl4jEdHMpoSWdSmVxePW0JmTRatjyubLagbXv6NZIrKFdwRSOuRCymA4MZreppUyou7RvIaTCd17KuhFKxqHYcGVF3W0yrutt0fLjd8vmifre3X4eHc0rnClrWlVCu4NrXn9HaRe06fUWXdvSNjPbp/emsEtGoVvYkVSxK+wYm5mYt1xVK+2Em+T2dfTxbdbR/JK3flZ1fnbayQ92cX80KzmXnxlxuZ/bp3KjlOi5mjtwB6lf+/dvK7qTOWtWjVKrxX+Mei7kzMJLWtrJ1Pn1lh7oW8Dofa/v4WFtfoNU0bcCRmUUlfUzSMyXtkHSnmW1y9/vKir1K0mF3P9nMrpD0XkkvqXeZxaLrB1v36Kqv3610rqhUPKIPvfgcXbRh5ZgL41OVmc78ZrL8Re0JveK84/XhWx8YLX/lhafo+/fs1rPPWjVh+hd++YgOD2d1/WUbtG3XES3vadeHb31A552wWBedtUrXbtpasfy7n3umnvtHa8ZcrPv2ll265jv3jpa//vIz9ZwNy/W9e/fpmk33Vo2tNM9rL92g+3cf0Wmre/XxHz+ol2xcp4/8aGzZXz90UM86c5Wuu+loXNdeukF3PnRATzxx6YTpX/nVI7p/36CuvXSDdh8e1NrFnbpmU+UyH3rxOXrW6Sv039v2jtne1bbf+P2Qzxf17d/u1Du+fXQb1Lqdnnv26tGT1Wr7vFJs060Lk9W1RptuXQda3ZGRtP773v26ZlNZ/l52pp515jIORKep1F7+248eGG3rq/URSzriSiVi2tOX1od+eP+Y985Y3aXBdFFvuXFsm92RiOrff/KQEjHTGy44ZUy7fOWFp2hld0pf+tV9es35J8tdenDf4JjlvvXPH6eYmf75B3eNTvvn552l/YOZMTG8+RmnasehEX3mF9sn9FnXX7ZBnamYHjk4XLXfG9MPX75BX7/zUV1w2sox83njBafoa5sf1RVPXDemD/7qrx/RBaet1Nc2P6q/OPd4/cv/jN02p6zo1AWPWyFJY9ri45e0Tdgmx1rbPFX/VHr/vT/YNmG/XnvpBq3uHdJTTlw2oU9+Y7hd33bR6bpow0pJqqsfrBRfqR68ZOO6CfWhNM/S8j778z/oZX+yXnv602Pq3rWXbtAnfvKgHjk4Ery+ZIM+8dPg9fFL2vTap52sd447jiqVr1RvxtezH/1+rx7YO6iv3jmxTpbif935J+vjPz4aw0f/4vHK5FxvubH6MWylfPnn55+l/QNBPlb63HWXbRiznFJ7MZQpTnl8VWldP/iic1T0ot76jS1Vj/FQm8nyT5q8vTp+SZte87STxxzvv/+FZ2v3uP7hn59/loYyeQ2k8xPqxa3bduvpj1ul6757dB7vuvxMjWTzFdvyf7zoND20f2hC/3P0HOpMfezHD4zWtesv26CPldW98cf51bbDxuN79KKN68ace117yQZ97K4H9IrzTtChoaze84PfjYlhdW9KX/zlw9r8SF/V9qVY9NHcrOecYLL2sBF9x0I/X5jJed1cxzSdZVeqvy9+4vFjznErtZGVzpevvXSDjl8yrN19WX3k1vsrHtOs7k1py44+vfUbWyq2+ddffqa+fucjE46h3nnpBj16aETv/t62CXEVi64fbNujI0NZDWULunXbHr3gCetG24bjl7TpdeefPCYnr7tsg750R3DtoNQH/tlJy3TLtj3acXhkTExXPfNUfe4XDysRM73+/FPGnD+88YJT9KPf7dHLnrRee/rSE3LzGY9brk337Jr0ukJpP8wkv2e7ntSifyStH1Q4v7rozGUMOmowzmXnxlxuZ/bp3KjlOi5mjtwB6pdO57Xpnt0T6vRlZ61q6KCjYzF3BkbS+n6FdX72mcsW5KCjY20fH2vrC7SiZl5VP1fSg+7+kLtnJX1V0uXjylwu6fPh39+QdKGZ1X1F5OGDQ6MXWSQpnQu+qHj44NC0ytRTtp7lP/8Ja0cvNpXKf/jWB/Q3f3ZSxenPf8JapXNFXbNpq/78rDWjZV751BNGL65VKv+Ob9+rrbv7RmPYsqtv9OSrVP6a79yrrXsGRxvsarGV5nndTUEM127aqkvOXjN6sbC87CufesLolwyl6dfdtFUvfOK6itP/5s9OGv37KaesGB1sVKnMVV+/W1t3903Y3tW23/j9sHV33+hFwVKZWrfTll1Hy1Tb55Vim25dmKyuNdp06zrQ6u7fMzTanklh/m66V/fvoU5PV6m9LG/rq/UR7Ym4Htw3OPplb/l7AyOF0cFG5dMPDGX1/Ces1SVnr5nQLn/41ge0/eCQXvHkE7VlR5/u2dk3Ybnvv+X3OjicHTNt+8GhCTH8y//crwND2Yp91jWbtqpY1KT93ph++Dtb9YonnzhhPh/50QO65Ow1E/rgUtlLzl4z+sVc+TK27OjTwweHJrTFlbbJsdY2T9U/ld6vtF+vu2mrBkYKFfvk0v4ozavefrDS50rzrlQfxi/vFU8+UdsPDk2oe9fdFBxfjTPec1MAAC/JSURBVL7+7tHXl5y9ZnSwUaXy1XKpvJ5t2RHkUqU6WYq7dIxXmr5lR99oDk91nFj+9/YDR/Ox0ufGL6fUXtRyfFVpXd9y4916YN/gpMd4qM1keTFVe3XJ2WsmHO8/UKF/2H5gSPsGMhXrxcuedMLogILS9P/3O/dWbcsPDmcr9j9Hz6HuHVPXrhlX98Yf51fbDq948okTzr2u+27QLzy4f3B0sFF5DH/YH/Rl47fj+OWUcrOedn+y9rARfcdCP1+YyXndXMc0nWVXqr/jz3ErtZGVzpevu2mr8gXp7f91T9Vjmj/sHxptgyu1+dd8596Kx1DvvGmr9g1kKsa1ZVefHtw3qANDWX341gf0iiefOKZtKPVZ49uQ0rWDUh+4ZVefHigbuF4q+6Ef3j96LDr+/OEjPwqWt/3AxL76qq/frS27pr6uUNoPM8nv6ezj2aqjv6tyfvU7zq8ajnPZuTGX25l9OjdquY6LmSN3gPrds7uvYp2+p8HXK47F3NlWZZ23LdB1Ptb28bG2vkArauaAozWSHit7vSOcVrGMu+cl9UlaUmlmZvZqM9tsZpv3799fcYF7+9OjDU5JOlfUvoH0tMrUU7ae5ZupYvmRbL7i9NJQrHSuqP0DR+dzeCg3Zfk9fUdj2FMlzr39mSljqxRDtbJHqsR1YDBTdb3Lt9lUZXb3VS8z1X6o9tnattPU9ana/KdbF6rVteloVO4A80l5e1ZSaudqVUvuHAtK7Vl5O1WtzRrK5FX0Ku9VaZuLHsyv2jyLLo1kg/lWm3fRx8Y8WbnJYp+q3yv/e2SS8hPKhus+2TruG0hPaItns2+YbY3Kn6n6p9L7VfdrNl+1Ty59ptK2H7+c6cZXXg/G14fy5Y1MkjPlQ/DLX091jFZLPSstc7J5jY+hPM5ajhNLf0/nc6XX1dqL8ftysnUdP638GK+VtVLfM1leTNVeVdo3ler6ZG17tXOcam35VLk0WV6VXpcf51fbDtXa/1JfNVlfVj5tfPtSnpvjP19Luz9VezjTvmM+nC/MJH9mcl43WxqxzWutv+PbyGrrHTyKbPJjmlIbXPV6R5UYqrXde8LcKOXH+M9Pdl2lfN57JsmxyY5FJ8vtatcMxm/Pmeb3ZBpRT2q7ZjDz8yvUhm09Nxq1ncmf1lHLdVzMHLkD1G/PHF2vPhZz51hbZ9Z39voeAJUtmOcGuPun3H2ju29ctmxZxTIrulNKxceucioe0fKu1LTK1FO23uVXKt+eiFWc7n7072VdR+ezuCM+ZfmVPUdjWFUlzhXdySljK5/n8rIYKpXtrRLXss5kxeltiVhZLJVjLC+zqqdtWtuvfD9U+2xt22nq+rSqpzF1oVpdm45G5Q4wn4xvz6Sj7VytasmdY0F5ezlVm9WRiilqVd6r0jZHTGP6lkrvtyWC+Vab9/inRUxVrlrsU/V75X+3J6uXn1C2bN2rxbW8K1W1LR7/ej60zY3Kn6n6p/L3q9W7an1+aV9Ntu2n2tbVPldeDyodP5U+156snjPuk7+eqvz498vrWfkya6nH0sS8qjVfpvO50utq7UW1fVlpXcdPKz/Ga2Wt1PdMlhe1tlflKtX1ydr2auc41dryqXKplrwqP84vGb+u1dr/Ul81WV9WPm18+zI+NycrW8lU7eFM+475cL4wk/yZyXndbGnENq+1/o5vI6u1t4va45PWs4hpTBtcqUy1GKq13avC3CjlR7XPj39dfu0gYhqdz1TtxIR4J8ntlVX20fjtOdP8nkwj6klt1wxmfn6F2rCt50ajtjP50zpquY6LmSN3gPqtnKPr1cdi7hxr68z6zl7fA6CyZg442inpuLLXa8NpFcuYWUxSj6SD9S5w/ZIOfejF54y5APahF5+j9Us6plWmnrL1LP+b/7tDV154ypjyV154iv7jp3+oOP1bd+1QKh7R9Zdt0C337Bwt87mfb9d1l22oWv7dzz1TG1b1jMZw1uoeXX/5mWPKX3/5mdqwslPXX3bmpLGV5nntpRv0g3t26rrLNuim3+7UGy+YWPaGn2/XtZeOjevaSzfoxjsfrTj90z/9w+jfP79/r66/rHqZD734HG1Y1T1he1fbfuP3w4ZV3Xr3c8dug1q309mrj5apts83rOqZcV2YrK412nTrOtDqTl3ZMdqeSWH+XnamTl1JnZ6uUntZ3tZX6yOGMzmdtLxTVz3z1AnvdbVF9cEXTWyzl3Yk9K27duim3+6c0C5feeEpOmFJh75w+0M6a22PzlzTM2G5b/3zx2lJe2LMtPVLOibE8OZnnKqlHYmKfdb1l21QxDRpvzemH758gz5/+0MT5vPGC07Rd7fsnNAHl8re9NudevMzJm6bs9f2aP2SjgltcaVtcqy1zVP1T6X3K+3Xay/doK62aMXjhdK+Ks2r3n6w0udK865UH8Yv7/O3P6T1Szom1L1rL92g727ZefT1JUdf3/TbnXpnheOo8vcr5VJ5PTtrbZBLlepkKe7rLhsbw1lre0ZzeKrjxPK/1y89mo+VPjd+OaX2ovLxVfeUOfLBF52jU5Z3TnqMh9pMlhdTtVc3/XbnhOP9kyv0D+uXdmhZV7JivfjPO7br2kvGzuNdl59ZtS1f3J6o2P8cPYc6c0xdu35c3Rt/nF9tO3z+9ocmnHtde8kGfeH2h3TSsk5dfdFpE2I4aVnQl43fjuOXU8rNetr9ydrDRvQdC/18YSbndXMd03SWXan+jj/HrdRGVjpfvvbSDYpFpX963llVj2lOWtYx2gZXavOvv/zMisdQ77x0g5Z3JSvGddbqHp20vFNLOhK68sJT9PnbHxrTNtz0250TcvK6y45eOyj1gWet7tHJyzsnxHTVM08dPRYdf/7wxguC5a1fOrGv/tCLz9HZq3umvK5Q2g8zye/p7OPZqqOnVTm/Oo3zq4bjXHZuzOV2Zp/OjVqu42LmyB2gfmet6qlYp89q8PWKYzF3Tq+yzqcv0HU+1vbxsba+QCsyL//Z5lwuOBhAdL+kCxUMLLpT0l+4+9ayMq+XdJa7v8bMrpD0fHd/8VTz3rhxo2/evLnie8Wi6+GDQ9o3kNbyrpTWL+lQZNxP5WopU0/Zepa/sjulQlHaP5jW0o6k0vmCdh4e0ZreNhXl2n0krdWLUsrlXTuPpLWiO6mV3Qnt6suM+ezq3pT29We1tz+YZyoR0Y5DI1rZk9KGVT2KxcaOPctmC9qyq097+9Na0Z3S2at7lEhElU7ndc/uPu3tz2hNb0qdybgODmfGxLayO6Xejrh29x1d7uHhrHrb4soVPPj1XiS4le2qnpSODOW0J4yr9Lny6Su6U0rGTY8enDjvPX0Z7e3PaGV3Uks7E9o7kBmzXcu35Zjtt6hNqVhUB4YyVfdDPl/U1t192tOXnvZ2qmWfz6Qu1FLXKpiy8ExzB5hPjoykdf+eIe3tz2hFd1KnruxQb1vVX7ZNWtkny51jQam9PDSUUVcqoVyhqFU9KeULrscODysRiygVi2pJZ0Kru9t0//4B9Y3kNJQpqKctrhXdSa1bHJwAbD8wpEcPDSkRi6g9HlW2WNRwpqB1izt0/OJ2bT84pO0HhpSKR9SVjEkm9bQlRr80eeTgkHb1jWgoU9CSjoTyxaLSuYJ62hIayRXUnojK3RWLRNSXzmk4U1Bve1wDmVxwZ75YVIdHsorIdGgoq1QiqvZERIloVOl8QSPZgtK5olb1JmVu2nFkREs6Eiq4q38kryUdCS3tSiiXd+3pH1EiGtVwNq9F7QnlikUtak+O9oHLu1Jat6hdjx4e1qGhjOLRiLKFopLRiA4OZdWeiI1um1J7O74tLn2+hdvmGfU9tZiqfyq9f3AoI5PpwGBGi9sTWtGT1HGLjvbJpbrXkYgpWyhoVU+7TlhafdvXuq1Ln9vbn1Z7IqpsoahENKJcYWJ9KJ9nKaYDgyOKR6IaygX1r7c9rrZ4VP3pnEayBS3tTGo4m5NZRMPZvJZ0JCW5Imba059RKh7RovaEUvGoDobHPesWteuRQ8N69NBQ1Xr26KGgfcwVCmpPxHRwMKvOVEyZfEHJWFS9bTENZgoazOS1bnGHTlga5OBD+we1/cCQutpiiprp4FBWq3pS6k7FtXcgrWWdwXHg7r70aD7GoxEdGclpMF3QmkUpFYuuHUdGtLQjqZW9SWVzQVtSHqukmo6vKuVIsehTHuO1iJbveybLi2r7Ym9/Wh2JqNylwWxe2XxxtI1/7PDwaBu+rDOholy5gssk5Yuu4WxBncmY2uNRyaR0Li9TRPsHM1relVR3W1QD6YKGswXli0V1JePK5otKxqM6MpLV4raEYjEL6nMypqJ8tI9Z3ZXUvXv6tXcgoyUdCa1dlNTe/tykx/nl26HUhrQnYlrVm9ShwZx29QX1eDiXV2cyrg0ruvSHQ0PqH8lpMBP0SZ3JmKKR4HFQw9mCVnRXb1/Kc3M4ezT3am33S/uk1OdMtbzpaqHzhVnpe2ZyXjdbGrHs8fNY29OmbXv7p2wj8/mitu7q086wnpf61WLRdd/uPh0cyqojGdOR4ZzaElF1xKNa0pXQmp6j7fKKrpQG0jntDpd1+opuPXp4WDuPDCsVj+nQUEaLO5LK5PPqaUvIpNGy5XFlswVt29OvkVxBuaIraq5ELKYDg8F1kbaEad9ATkOZvJZ2BH3iziNpdaaiWt3TpuPD7ZbPF/W7vf3Bo+GyBS3rSihXdO3rz2hNb5vOWNmtHX0jQZ8ej2ogk1M8GtXKnqSKRWnfwMTcrOW6Qmk/zCS/p7OPp6gndfc9/SNp/a7s/Oq0lR3qrn5+hRmY5rks6tTIawbS5PnDPp0btVzHxcyRO0D9yr9/W9Gd1FmrepRKxaoVr/u47VjMnYGRtLaVrfPpKzvUtYDX+Vjbx3PZ94zOxEwv+eTtdUQ71tf+7slq1lgNLAxzXBcr5k/TBhxJkpldLOlfJUUlfdbd/8nMrpe02d03mVlK0hclPV7SIUlXuPtDU823FS6+Ay1o1r/0BRawlv/SF2hR9D1A/eh7gPrQ9wD1o+8B6kPfA9SH3AHqx3EbUB8GHGFBaYUBR1WHxs4Fd79Z0s3jpl1T9nda0ovmOi4AAAAAAAAAAAAAAAAAlbXkswMAAAAAAAAAAAAAAAAAtCYGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANTM3L3ZMTScme2X9Eiz45jCUkkHmh3EHDqW1rdV1/WAu180WYEac6fV1o94ptZqMc3HeCbNnwb0O622Teox39dhvscvteY6NKLvacX1Gm8+xCjNjziJ8ajZ7ntm03zYj9XM59il+R1/o2Jv1HlPI2NqpoWwDtLCWI/5sA6N6Hvmw3qONx9jluZn3As15oV6za0WxDw3FmrMCzV3iGdyrRaP1HoxzdX16lZb77lwrK0z6zsRfc/cIJ7JtVo80gzyZ0EOOJoPzGyzu29sdhxz5Vha34W+rq22fsQztVaLiXhaM4aZmu/rMN/jlxbGOlQyH9ZrPsQozY84iXFhmM/baD7HLs3v+Fsx9laMaboWwjpIC2M9FsI61GI+rud8jFman3ETc+ssq1GIeW4Qc+ssqxbEM7lWi0dqvZjmKp5WW++5cKytM+u7MJZVC+KZHPFMbSYx8Ug1AAAAAAAAAAAAAAAAADVjwBEAAAAAAAAAAAAAAACAmjHgqHk+1ewA5tixtL4LfV1bbf2IZ2qtFhPxTNQKMczUfF+H+R6/tDDWoZL5sF7zIUZpfsRJjAvDfN5G8zl2aX7H34qxt2JM07UQ1kFaGOuxENahFvNxPedjzNL8jJuYW2dZjULMc4OYW2dZtSCeybVaPFLrxTRX8bTaes+FY22dWd+FsaxaEM/kiGdqdcdk7t7IQAAAAAAAAAAAAAAAAAAsYNzhCAAAAAAAAAAAAAAAAEDNGHAEAAAAAAAAAAAAAAAAoGYMOJojZhY1s9+Y2XfD1yeY2a/M7EEz+5qZJZodY6OYWa+ZfcPMfmdm28zsPDNbbGY/NLMHwv8XNTvORjCzN5vZVjO718y+YmaphbJvzewiM/t9uB5XV3g/Ga7fg+H6rm9yPFeZ2X1mtsXMbjWz45sZT1m5F5iZm9nGZsdjZi8Ot9FWM/tyM+Mxs3VmdlvYLm4xs4tnOZ7Pmtk+M7u3yvtmZh8J491iZk+YzXiqxPD+sN3cYmb/ZWa9cx3DTJnZi8L6VZztOt9IteZzq5qqfi8ErVy3Wr3+zIf6YWbHhX1CqY+6stkxVRIe5/3azH4bxnlds2NqZa2ct9W0ej5PZj7kejWt3gZwjNZc8zkvS+ZzflYzH86vKsQ0Vcznm1mfmd0d/rtmrmOsENOU7WOLbuta4m6p7V3LcZ416DrYVO1ao5bTSDXE/Eoz21+2P/+mGXGOi4l2ag7MdTvVavlTQzxcr+Z69WTxNLWdqrW+LBRTbe+Fppb2eSGp5VhuBvOm75lBPGXl6HsWct/j7vybg3+SrpL0ZUnfDV9/XdIV4d+fkPTaZsfYwHX9vKS/Cf9OSOqV9D5JV4fTrpb03mbH2YD1XCNpu6S2sn36yoWwbyVFJf1B0onhPvytpDPGlXmdpE+Ef18h6WtNjufpktrDv1/b7HjCcl2SfirpDkkbm7x9TpH0G0mLwtfLmxzPp0q5IekMSQ/PVjzhMv5M0hMk3Vvl/YslfV+SSXqSpF/NZjxVYniWpFj493vnYzsp6XRJj5P049ms8w2OuaZ8buV/U9XvhfCvVevWfKg/86F+SFol6Qnh312S7m+17RjGZpI6w7/jkn4l6UnNjqtV/7Vq3k4Sb8vn8xTxt3yuTxJ7S7cBHKM1Ne55nZdl6zFv87PedWqF86s6Yj5f4TW7VvlXS/vYotu6lrhbanvXcpynBlwHq6Vda8RyGrxtaon5lZI+2uz9OC4m2qm5iXnO2qlWy58a4+F6NderJ4upae1UrfVlIf2bansvtH+1tM8L6Z9m6Zodfc/M4ymrg/Q9C7jv4Q5Hc8DM1kp6jqRPh69N0gWSvhEW+byk5zYluAYzsx4FlfUzkuTuWXc/IulyBespLaD1lRST1GZmMUntknZrYezbcyU96O4PuXtW0lcV7MNy5fv0G5IuDOt2U+Jx99vcfTh8eYektbMUS03xhN6l4EuJ9CzGUms8fyvpY+5+WJLcfV+T43FJ3eHfPZJ2zWI8cvefSjo0SZHLJX3BA3dI6jWzVbMZ03ju/t/ung9fznYdnhXuvs3df9/sOKap1nxuWTXU73mvhetWy9ef+VA/3H23u98V/j0gaZuCgd0tJewjBsOX8fCfNzGkltbCeVtNy+fzZOZDrlfT6m0Ax2hNNa/zsmQ+52c18+H8arz5uB9qbB9bcVu3dLteSY3HeY24DtZq19tqMS/bYtqpuTHH7VSr5Q/Xq2ceD9erm9dOzcu2fSbmYxs7E/PxeGwmZvGaHX3PDOMJ0fcs8L6HAUdz418l/V9JxfD1EklHyi5a7tDCaehPkLRf0ufC23992sw6JK1w991hmT2SVjQtwgZx952SPiDpUQUDjfok/a8Wxr5dI+mxsteV1mO0TLi+fQrqdrPiKfcqBSMwZ8uU8YS3mTvO3b83i3HUHI+kUyWdama/MLM7zOyiJsfzTkkvN7Mdkm6W9IZZjKcW061js+3/aHbrMI5qtX2P+YX602DhbYcfr+CXSC3Hgsck3y1pn6QfuntLxom6kM8toNXbAHGMNtfIy/lrvu6788LHMHzfzDY0O5hyk7SPLb2tp2jXW2p713Cc14jrYK12va0WtdaxF4SPXfiGmR03N6HNSEvnziRaKm/KzUE71Wr5w/XqGcYjrldPZTbbqfnaBqIO8+A8uyFm6Zodfc8M46HvOTb6ntishQNJkpldImmfu/+vmZ3f5HDmQkzBrbje4O6/MrMPK3iE2ih3dzOb978GN7NFCkb6nSDpiKQbJc1mw4QamNnLJW2U9LQmxhCR9CEFt5RuFTEFtwo8X8GI5p+a2Vke3IGsGV4q6QZ3/6CZnSfpi2Z2prsXp/rgfGZm/yNpZYW33u7u3wnLvF1SXtKX5jK2WtWyDkA9qFsws05J35T0Jnfvb3Y8lbh7QdI5ZtYr6b/CvqviM6+PBeQtGqmZbQDHaAAk3SXpeHcfNLOLJX1bwTl0082HY6RKpoi75bY3x3kzcpOkr7h7xsz+TsGv/C9ockwLUcvlTcl8bafmCterq+J6NTDLjqX2mWO5seh7qqLvmQUMOJp9T5F0WXgSkFJwW6wPK7gFVSwc7bhW0s4mxthIOyTtKBs5+g0FA472mtkqd98d3nprNm9RNleeIWm7u++XJDP7loL9vRD27U5J5b9GqrQepTI7wkfK9Ug62MR4ZGbPkPR2SU9z98wsxVJLPF2SzpT04/DOiSslbTKzy9x9cxPikYLc/JW75yRtN7P7FXSqdzYpnlcpHKDn7r80s5SkpWpe21BTHZspd3/GZO+b2SslXSLpQndvyYGZU63DPDQn+x5Tm6d1i/rTIGYWV3AB5Evu/q1mxzMVdz9iZrcp6MuO2YsX8zRvqyGfm6jZbQDHaC2LvJy/5t2+K/8Cxt1vNrOPm9lSdz/QzLhqaB9bcltPFXerbu8wnmrHeY24DtZq19tqMWXM7l4e36clvW8O4pqplsydybRq3sxhO9Vq+cP16pnFI3G9eiqz2U7NuzYQ09fs8+xmafA1O/qemcVD33OM9D08Um2Wufs/uvtad18v6QpJP3L3l0m6TdILw2J/JWlB/OLQ3fdIeszMHhdOulDSfZI2KVhPaeGs76OSnmRm7Ra0lKV1XQj79k5Jp5jZCWaWUFB3N40rU75PX6igbs/Wxfcp4zGzx0v6pKTLZvmZm1PG4+597r7U3deHuX9HGNdsdKBTxhP6toIRuzKzpQpuG/hQE+N5VEHOyMxOVzAgc/8sxVOLTZJeYYEnSeorewzknAhv3fh/FdSV4anKo2Fqqa9ANdSfBgiPoz4jaZu7f6jZ8VRjZsvCX0nJzNokPVPS75oaFBqJfG6SVm8DOEZrKvJy/mr6+dV0mdnKsD2SmZ2r4JppMwd51No+tty2riXuVtveNR7nNeI6WKtdb6tFLdfkVpW9vEzStjmMr14tlztTabW8CeOYy3aq1fKH69UziCf0bXG9ejKz2U5xnL3Atfp5dqPN4jU7+p4ZxEPfcwz1Pe7Ovzn6p6ACfzf8+0RJv5b0oIJHcSWbHV8D1/McSZslbVGQuIsUPK/yVkkPSPofSYubHWeD1vU6BZ3WvZK+KCm5UPatpIsl3S/pDwpuwy9J1yvoDKSg0bsxXM9fSzqxyfH8j6S9ku4O/21qZjzjyv5Y0sYmbx9TcOvC+yTdI+mKJsdzhqRfSPptuL+eNcvxfEXSbkk5BSOYXyXpNZJeU7Z9PhbGe89s768qMT6o4NmopTr8ibmOoQHr8Lxw+2bCfLyl2THVGPeE+jqf/lWq382OaRbWsWXrVqvXn/lQPyQ9VZIrOHYstYEXNzuuCnGeLek3YZz3Srqm2TG18r9WzttJYm7pfJ4i9pbP9Ulib+k2gGO0psc+b/OybB3mbX5OZ51a7fyqjpj/XtJWBeeod0h6cgvEXLF9nAfbupa4W2p7VzvO0yxcB6vUrs3Gchq8faaK+Z/L9udtkk5rgZhpp+Ym5jltp1otf2qIh+vVXK+eLJ6mtlOVtsdC/ldpezc7plle35Y+z56F9Z21a3b0PTOLZ1xZ+p6J8SyIvsfCDwMAAAAAAAAAAAAAAADAlHikGgAAAAAAAAAAAAAAAICaMeAIAAAAAAAAAAAAAAAAQM0YcAQAAAAAAAAAAAAAAACgZgw4AgAAAAAAAAAAAAAAAFAzBhwBAAAAAAAAAAAAAAAAqBkDjjAjZvZcM3MzO63ZsQCtxMxWmNmXzewhM/tfM/ulmT2vAfM938y+24gYgVZhZgUzu9vM7jWzG82sfRqfPcfMLq6h3EYz+0gN5T5rZvvM7N5aYwCaqVXyx8yOM7PbzOw+M9tqZlfWGgfQDC2UOykz+7WZ/TbMnetqjQNollbJn7KyUTP7DedJALCwmNnguNevNLOPhn+/xsxeMclnzzezJ9ewjHea2T/MPFpgbk2RH+80s53h8VrpX2+YF33h69+Z2QfKPv8yM9tiZveY2e1m9kfTiOWVZra6UeUAAMD8woAjzNRLJf08/B+AJDMzSd+W9FN3P9Hd/1jSFZLWNiGW2FwvE6jDiLuf4+5nSspKek35m1PU43MkTfmllbtvdvc31hDLDZIuqqEc0CpaJX/ykt7i7mdIepKk15vZGVPNG2iiVsmdjKQL3P2PwvleZGZPmmreQJO1Sv6UXClpW41lgbqZ2ZKyL273jPsyN9Hs+MqZ2dvDgaxbwvj+JJz+pukMEgRalbt/wt2/MEmR8yVNOeAIWMD+JTxeK/07Ek7/mbufI+nxki4xs6eE07dLepq7nyXpXZI+NY1lvVJSLQOJai0HNFy1Y6NWZGb/T7NjwLFtOj8yGj/Ie6pB4VMsd72Z/cUUZdrN7EvhANl7zeznZtYZDqx9XQ3LqKkcpocBR6ibmXVKeqqkVykYTCEzi5jZx8MR8j80s5vN7IXhe39sZj+x4G4vt5jZqiaGD8ymCyRl3f0TpQnu/oi7/1v469v3m9md4cHt30mjnfKPzewbYf58KRy4JDO7KJx2l6Tnl+ZpZh0W3I3l1+Evei8Pp7/SzDaZ2Y8k3Tqnaw7M3M8knRzmxM/MbJOk+yy4A8TnwgPJ35jZ08OL+tdLekl4APySSfJi9O5g4S+9Phvm3ENmNvpllrv/VNKhJqw30AhNyx933+3ud4V/Dyj44ndNMzYCUIdm5o67e+nXyfHwn8/5FgDq19RjNzNbK+k5kj4996uOY427Hyx9cSvpExr7ZW52ruOxKoP7zOw8SZdIeoK7ny3pGZIeC99+kyQGHGHes7I7E5nZGy240+oWM/uqma1XMBj2zWF/86cWfIH1o7DMrWa2rsI8zzGzO8Iy/2Vmi8LpT7SjX1C/38I7IpvZT83snLLP/9ymcVcYoJncfUTS3QrP2939dnc/HL59hyr8cNaC69o3WPAF7z1m9mYLvvvZKOlLYY60mdk1Flz7vtfMPmWBSuUeNrOl4bw3mtmPw7+fZkcH9P7GzLpme3tgYZvi2Giqz874B91mFp3mRxhwhGab9EdG45yvskHeNQwKn8x6SZMOOFLwg6O97n5WGN+rJOUk9UqqZSBRreUwDQw4wkxcLukH7n6/pINm9scKBkOsl3SGpL+UdJ4kmVlc0r9JemF4t5fPSvqnZgQNzIENku6q8t6rJPW5+xMlPVHS35rZCeF7j1dw8e8MSSdKeoqZpST9h6RLJf2xpJVl83q7pB+5+7mSni7p/WbWEb73BAX59rSGrRUwy8ITuGdLuiec9ARJV7r7qZJer+B72bMU3FXv8wqOY66R9LXwAPhrmjwvyp0m6c8lnSvp2rCfAuatVsqf8AL/4yX9qrFrCTReK+ROeOH+bkn7JP3Q3ckdzAutkD+S/lXS/5VUnIVVBKYUfvH6wrLXg+H/51vwo7vvhAPl3mPB42p+HX5Je1JYruIgiCnmOzq4r0pYqyQdcPeMJLn7AXffFQ7WWy3pNjO7LZzfv5vZZhv3WE8zu9iCHz79r5l9pGwAYMVBgsAsaSsbdHC3gkGrlVwt6fHhl8ivcfeHNXZQ4M8UXJf+fFjmS5IqPbbzC5LeFpa5R9K14fTPSfq7cLBhoaz8ZxTcsUVmdqqklLv/tt6VBaZpqvx4c9n7t43/cDig7hRJP60w71dJ+n6F6edIWuPuZ4bHeJ9z929I2izpZWG+jUj6qLs/MfwiuE3SJVXKVfMPkl4f5tyfSpqsLFCLasdG1Qa9vdPMvmhmv5D0RTNbZsENFraa2afN7JGyz708PC6628w+WRpcZGaDZvZBM/utpLeb2bdLwZjZM83svyoFambv0dH8/pKZXW9mbyp7/5/M7MrwmPCnZvY9M/u9mX3CzCJhmWeZ2S/N7C4L7k7T2fAtimNJ6UdGl5rZr8JzgP8xsxVWeZB3+aDwk8zsB+E5xc/M7LRw+g3hOcbt4blS6bznPZL+NJzXm6vEs0rSztILd/99mNvvkXSSHR0g3hmeX90Vnn+VzlvGlxv9sVMY20fN7JXh3++xo4PaPyBUxYAjzMRLJX01/Pur4eunSrrR3YvuvkdS6WD2cZLOlPTD8AD4HWrC46WAZjCzj5nZb83sTknPkvSKMA9+JWmJgpM7Sfq1u+9w96KCX5isV3Bhfbu7P+DuLuk/y2b9LElXh/P6saSUpNIvtH7o7tylBfNFW1iPN0t6VMFFOynIie3h309VWP/d/XeSHpF0aoV5TZYX5b7n7hl3P6DgC94VDVkTYO61VP6EFzG+KelN7t4/ozUDZlfL5I67F8KL6WslnWtmZ8505YBZ1hL5Y2aXSNrn7v/biJUCZsEfKbgAf7qCH+WdGg6u+7SkN4RlahkEMV754L5K/lvScWZ2vwV3IX+aJLn7RyTtkvR0d396WPbt7r5R0tmSnmZmZ1vww6dPSnp2+KPBZWXzrnWQINAIpV/Xl+4sdk2VclsU3DXl5Qoe9VzJeZK+HP79RQX91Cgz65HU6+4/CSd9XtKfmVmvpC53/2U4/ctlH7tRwSOp4pL+j4JHtANzZar8KL8L39PLpv9pOABip6Rbwu9wRpnZ0xUMOHpbhWU+JOlEM/s3M7tIUrVz/qeHX0rfo+BJABumuW6/kPQhCwbK9rp7tbwGalXx2GgKZ0h6hru/VMEA1B+5+wZJ31B4vmJmp0t6iaSnlA1KfVn4+Q5Jv/Lg8envknSamZWOqf5awU0ZJnD3q3U0v18WlntFuLyIgqfNlL4jOlfBMeUZkk6S9PxwINQ7wtifoOCc7aoa1heYwMb+yOjnkp7k7o9XMCbg/1YZ5F3uU5LeEJ5T/IOkj5e9t0rB8dglCgYBScEg8p+F8/qXKmF9VtLbwkF17zazU8o++4fws2+VlJb0vDAPni7pg2ZmFcpVW/clkp4naUN4rvbuybbVsW7Gt4LDscnMFis4WDzLzFxSVMGt/yuOypVkkra6+3lzFCLQTFslvaD0wt1fHx7olS7Iv8Hdbyn/gJmdLylTNqmgqdtok/QCd//9uHn9iaSheoMHmmAkPCkbFRz71VWPq+XF+AFF0803oFW1TP6EF9q/KelL7v6tOpYPzKWWyZ0Sdz9iwa+PL5J0bx1xAHOlVfLnKZIuM7OLFQxU6jaz/3T3l9cRBzAb7nT33ZJkZn9Q8GWXFFywL335e56OPjr9i5LeV8N8ywf3TeDugxbchfxPw+V8zcyudvcbKhR/sZm9WkFOrVLwhVVE0kNly/iKpFeHfz9LQd79Q/i6NEhwWw1xA7PlOZL+TMHdwd9uZmfNxULdfdjMfqjgKQAvVnBncqDV/czdL7Hgjvt3mNnX3f1uSTKzsxUMin22ux8c/0F3P2zBYwP/XMGA2hcrGGw3Khy0+nFJG939MTN7p4K+opK8jt4UYbSMu7/HzL4n6WJJvzCzPw8HsAN1qXZsNMXHNpXdieupCgYeyN1/YGalxw9eqKDtvzM8H2pT8OMIKThn+Wb4GTezL0p6uZl9TsHx3ytqjP1hMztoZo9X8KOl37j7wXB5v3b3hyTJzL4SxplWcDz3i7BMQtIvK84cqK70IyMpuMPRZxTcWORrZrZKQb2qej4ijf4o9cmSbgzroiQly4p8O7z5wn0Vzv+rcve7zexEBeclz1CQf+dp4t3wTNL/Z2Z/puCOyGs0vR+d9ynIp8+Ed0D67hTlj2nc4Qj1eqGkL7r78e6+3t2PU9C4HJL0AjOLhA3E+WH530taFia9zCxuZtMd2Q7MFz+SlDKz15ZNaw//v0XSa+3oIzROneLXgL+TtN7C260ruJNYyS2S3hCOylV40AksVD9T+AsRC25Vvk5B3zIgqfxZ7uQFMNGs50/4mc9I2ubuH2pQ3ECzzUXuLAt/OS8za5P0TAXHf8B8N+v54+7/6O5r3X29gl/6/ojBRmiC0S9Lw1+dJ8reKx8oVyx7XdTUP3iYbL5TDu4L7573Y3e/VtLfq+xHUSXhl83/IOnC8Fe731P1L4VHP6ZgkGDprhnr3J3BRmiaMD+Oc/fbFNyRpUdSpyb2N7cr6CukoH8a8wt8d++TdNjM/jSc9JeSfuLuRyQNhD/uU9k8Sj6t4M5kd7r7YQHzRDio9D0K72RkwSM9vyXpL939/kqfCX9QG3H3byq4g8oTwrfK863UjxwIv2x+Ydksxuflwzo6UG+0nzKzk9z9Hnd/r6Q7FTwBAJiRKsdGFQe9hWr5MYUpuFNl6bjoce7+zvC9tLuXP4bzc5JeruD7nRuneeeuTyt4hOf4OyP5uHIexvTDspjOcPdXTWNZgDT2LnpvcPesgjuzftSDR2r+naY+b4hIOlJ+Nz53P73s/fJzJdM0uPugu3/L3V+n4I5fF1co9jIFd2r94/AHU3urxFzeDqhUJszRcxXc1ewSST+YTozHGgYcoV4v1cS7GX1T0kpJOxQ8R/4/Jd0lqS9sjF4o6b3hLTvvVjCyEVhw3N0lPVfB7ci3m9mvFdyK+W0KDg7vk3SXmd2r4DblVS80untawS8Jv2dmd+noCHkpuBVnXNIWM9savgYWqo9LioS3Y/6apFd68Gze2ySdYcEzd1+iGeZF+GuQX0p6nJntMDNOyLAQzEX+PEXBRfkLwvndHd5xApjP5iJ3Vkm6zcy2KLiY/kN351dTWAjm5NgNaAEP6+iXpZcpqM/TUW0QRN3zNbPH2dFHC0jSOQoeayiN/bK3W8GXaX3hjwafHU7/vYJH5qwPX7+kbF78wAOtJirpP8P+5jeSPhIOErpJ0vPC/uZPFTxy5q/DY66/lHRlhXn9lYLHBG5RkDfXh9NfJek/wl/6dyj4xbskyYPHevYr+CIZaCVvLjs3v7usTS/3CQWPDlyv4JFsSyR9PCy/uUL5NZJ+HObCf0r6x3D6DZI+EU7PSPoPBXdsvUXBOY7Glwt/bHGdpA+HyyofmPEmM7s3zMWcpO9Pd+WBcpMcGz2sCoPeKviFgjt6ycyeJWlROP1WSS80s+Xhe4vN7PhKM3D3XQoebfsOTd1n5Eo/WA/9l4I7IT9RQV6VnGtmJ4SDb1+i4JFXd0h6ipmdHMbUEf4ABJipHgWP45SCY6aS8YNJJUnu3i9pu5m9SAp+rGrBXfImU3Fe5czsKWa2KPw7oeCOXo9U+GyPgkew5yx4XGgpN8eXe0TBNYpk+IPAC8N5d0rqcfebJb1ZweOyUYUF34sDjWNmneEtCpdI+rWC55fumepzAAAAAAAAQKuz4BExgwoeg/YdBY/Q+IGk17t7pwWPTf8Hd78kLP/j8PXm8vfCL6U+J2mppP2S/trdHw0HAE053yqx/bGCXyD3KvjF7oOSXu3uB8zsDQp+1b/L3Z9uZjco+EHgYwoGUWxy9xvM7FJJ71cwIOlOSV3u/rLwC+J/DT8TkbR9sliAhaB0rTv8+2pJq9z9yvD1akk/lnRa+FgQAECLqXZsJOl0BXfr7lfQlm909/NLx3nu/oHw88sVPGJ2hYIfql4iab27Z8IfUfyjguOinIJjtjvMbNDdO8fFcYWkN7n7k6aI970KBpzf5e6lu8Z+QsHdYq4OX5+vYGDsgKSTFfyw43XuXjSzCyS9V0cfX/UOd980zc2GY1iV+nu5pH+RdFjBU16eGObLqQruAlRUMMD7QoX5E95R9d8V/NguLumr7n59eA7yXXf/RvnywoF2tygYAHuDu/9LhdheoeAuraYg774n6W3howu/LOlsBQNV36tgAHqnpM2SnqTgkaEPl5dz97ea2fsUPDZxu4JzvE1hHN9RcMcjk/QBd//8zLbswsWAIzRceBGlV8Htnt/nlZ8RDwAAAAAAAKDFlP2Y0CR9TNIDlS74A8eCsi+TYwp+Bf9Kd98ffuH1T5KucvcbmxkjAGD2mFlSUsHd82Z2nqR/Dx/RNN35fFTSb9z9M9P8XETB02Re5O4PhNPO1xSD0AFgrjDgCAAAAAAAAAAgSTKzNyt4VEJCwWOq/tbdh5sbFQAAwNwLH8f2dQV3U8kquJPQnZN/asI8/lfBnSOfGT5qutbPnSHpu5L+y93fUjb9fDHgCECLYMARAAAAAAAAAMwjZrZE0q0V3rrQ3Q/OdTwAAAConZn9Skcfe1byl+5+TzPiAVqJmf25gseildvu7s9rRjyYHAOOAAAAAAAAAAAAAAAAANQs0uwAAAAAAAAAAAAAAAAAAMwfDDgCAAAAAAAAAAAAAAAAUDMGHAEAAAAAAAAAAAAAAACoGQOOAAAAAAAAAAAAAAAAANTs/wcGLxQXVWgLAAAAAABJRU5ErkJggg==\n", "text/plain": [ "<Figure size 2376x2376 with 132 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.pairplot(df, height=3)" ] }, { "cell_type": "markdown", "id": "ca06026e", "metadata": { "papermill": { "duration": 0.08, "end_time": "2021-08-07T18:29:52.072574", "exception": false, "start_time": "2021-08-07T18:29:51.992574", "status": "completed" }, "tags": [] }, "source": [ "### Comments\n", "Considering the correlations shown above, it seems really difficult to find a difference between Dead and Alive patients...\n", "\n", "#### Let's find out !" ] }, { "cell_type": "markdown", "id": "f8a029b2", "metadata": { "papermill": { "duration": 0.079312, "end_time": "2021-08-07T18:29:52.231521", "exception": false, "start_time": "2021-08-07T18:29:52.152209", "status": "completed" }, "tags": [] }, "source": [ "# Modelling" ] }, { "cell_type": "code", "execution_count": 25, "id": "0a2ccc2b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:52.395826Z", "iopub.status.busy": "2021-08-07T18:29:52.395046Z", "iopub.status.idle": "2021-08-07T18:29:52.584495Z", "shell.execute_reply": "2021-08-07T18:29:52.585224Z", "shell.execute_reply.started": "2021-08-07T18:24:14.754277Z" }, "papermill": { "duration": 0.274534, "end_time": "2021-08-07T18:29:52.585459", "exception": false, "start_time": "2021-08-07T18:29:52.310925", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Alive 200\n", "Dead 55\n", "Name: Patient_Status, dtype: int64\n", "Alive 55\n", "Dead 11\n", "Name: Patient_Status, dtype: int64\n" ] } ], "source": [ "from sklearn.model_selection import train_test_split\n", "df = data.copy()\n", "trainset, testset = train_test_split(df, test_size=0.2, random_state=0)\n", "print(trainset['Patient_Status'].value_counts())\n", "print(testset['Patient_Status'].value_counts())" ] }, { "cell_type": "code", "execution_count": 26, "id": "d7900f69", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:52.757925Z", "iopub.status.busy": "2021-08-07T18:29:52.757165Z", "iopub.status.idle": "2021-08-07T18:29:52.787292Z", "shell.execute_reply": "2021-08-07T18:29:52.787848Z", "shell.execute_reply.started": "2021-08-07T18:24:14.829028Z" }, "papermill": { "duration": 0.121002, "end_time": "2021-08-07T18:29:52.788032", "exception": false, "start_time": "2021-08-07T18:29:52.667030", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "_, X_train, y_train = preprocessing(trainset)\n", "_, X_test, y_test = preprocessing(testset)" ] }, { "cell_type": "code", "execution_count": 27, "id": "8db97402", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:52.953425Z", "iopub.status.busy": "2021-08-07T18:29:52.952734Z", "iopub.status.idle": "2021-08-07T18:29:53.180575Z", "shell.execute_reply": "2021-08-07T18:29:53.179871Z", "shell.execute_reply.started": "2021-08-07T18:24:14.875981Z" }, "papermill": { "duration": 0.31257, "end_time": "2021-08-07T18:29:53.180727", "exception": false, "start_time": "2021-08-07T18:29:52.868157", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier\n", "from sklearn.svm import SVC\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.pipeline import make_pipeline\n", "from sklearn.feature_selection import SelectKBest, f_classif\n", "from sklearn.preprocessing import PolynomialFeatures,StandardScaler\n", "from sklearn.decomposition import PCA" ] }, { "cell_type": "code", "execution_count": 28, "id": "3af49dcd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:53.346074Z", "iopub.status.busy": "2021-08-07T18:29:53.345404Z", "iopub.status.idle": "2021-08-07T18:29:53.347369Z", "shell.execute_reply": "2021-08-07T18:29:53.347866Z", "shell.execute_reply.started": "2021-08-07T18:24:14.947702Z" }, "papermill": { "duration": 0.087498, "end_time": "2021-08-07T18:29:53.348043", "exception": false, "start_time": "2021-08-07T18:29:53.260545", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "preprocessor = make_pipeline(PolynomialFeatures(2),\n", " SelectKBest(f_classif, k=10))\n", "\n", "RandomPipeline = make_pipeline(preprocessor,RandomForestClassifier(random_state=0))\n", "AdaPipeline = make_pipeline(preprocessor,AdaBoostClassifier(random_state=0))\n", "SVMPipeline = make_pipeline(preprocessor,StandardScaler(),SVC(random_state=0))\n", "KNNPipeline = make_pipeline(preprocessor,KNeighborsClassifier())" ] }, { "cell_type": "code", "execution_count": 29, "id": "fc56a7b9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:53.510518Z", "iopub.status.busy": "2021-08-07T18:29:53.509870Z", "iopub.status.idle": "2021-08-07T18:29:53.515024Z", "shell.execute_reply": "2021-08-07T18:29:53.514428Z", "shell.execute_reply.started": "2021-08-07T18:24:14.955161Z" }, "papermill": { "duration": 0.087228, "end_time": "2021-08-07T18:29:53.515182", "exception": false, "start_time": "2021-08-07T18:29:53.427954", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "dict_of_models = {'RandomForest': RandomPipeline,\n", "'AdaBoost': AdaPipeline,\n", "'SVM': SVMPipeline,\n", "'KNN': KNNPipeline}" ] }, { "cell_type": "code", "execution_count": 30, "id": "51cf8958", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:53.685635Z", "iopub.status.busy": "2021-08-07T18:29:53.684928Z", "iopub.status.idle": "2021-08-07T18:29:53.688082Z", "shell.execute_reply": "2021-08-07T18:29:53.687619Z", "shell.execute_reply.started": "2021-08-07T18:24:14.974402Z" }, "papermill": { "duration": 0.091047, "end_time": "2021-08-07T18:29:53.688224", "exception": false, "start_time": "2021-08-07T18:29:53.597177", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.metrics import f1_score, confusion_matrix, classification_report\n", "from sklearn.model_selection import learning_curve\n", "\n", "def evaluation(model):\n", " model.fit(X_train, y_train)\n", " ypred = model.predict(X_test)\n", " \n", " print(confusion_matrix(y_test,ypred))\n", " print(classification_report(y_test,ypred))\n", " \n", " N, train_score, val_score = learning_curve(model, X_train, y_train, \n", " cv=4, scoring='f1', \n", " train_sizes=np.linspace(0.1,1,10))\n", " plt.figure(figsize=(12,8))\n", " plt.plot(N, train_score.mean(axis=1), label='train score')\n", " plt.plot(N, val_score.mean(axis=1), label='validation score')\n", " plt.legend()" ] }, { "cell_type": "code", "execution_count": 31, "id": "b467d3f7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:29:53.856280Z", "iopub.status.busy": "2021-08-07T18:29:53.855651Z", "iopub.status.idle": "2021-08-07T18:30:07.047130Z", "shell.execute_reply": "2021-08-07T18:30:07.045745Z", "shell.execute_reply.started": "2021-08-07T18:24:14.988548Z" }, "papermill": { "duration": 13.279771, "end_time": "2021-08-07T18:30:07.047281", "exception": false, "start_time": "2021-08-07T18:29:53.767510", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "RandomForest\n", "[[ 0 11]\n", " [ 2 53]]\n", " precision recall f1-score support\n", "\n", " 0.0 0.00 0.00 0.00 11\n", " 1.0 0.83 0.96 0.89 55\n", "\n", " accuracy 0.80 66\n", " macro avg 0.41 0.48 0.45 66\n", "weighted avg 0.69 0.80 0.74 66\n", "\n", "AdaBoost\n", "[[ 1 10]\n", " [11 44]]\n", " precision recall f1-score support\n", "\n", " 0.0 0.08 0.09 0.09 11\n", " 1.0 0.81 0.80 0.81 55\n", "\n", " accuracy 0.68 66\n", " macro avg 0.45 0.45 0.45 66\n", "weighted avg 0.69 0.68 0.69 66\n", "\n", "SVM\n", "[[ 0 11]\n", " [ 0 55]]\n", " precision recall f1-score support\n", "\n", " 0.0 0.00 0.00 0.00 11\n", " 1.0 0.83 1.00 0.91 55\n", "\n", " accuracy 0.83 66\n", " macro avg 0.42 0.50 0.45 66\n", "weighted avg 0.69 0.83 0.76 66\n", "\n", "KNN\n", "[[ 0 11]\n", " [ 6 49]]\n", " precision recall f1-score support\n", "\n", " 0.0 0.00 0.00 0.00 11\n", " 1.0 0.82 0.89 0.85 55\n", "\n", " accuracy 0.74 66\n", " macro avg 0.41 0.45 0.43 66\n", "weighted avg 0.68 0.74 0.71 66\n", "\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for name, model in dict_of_models.items():\n", " print(name)\n", " evaluation(model)" ] }, { "cell_type": "markdown", "id": "24374055", "metadata": { "papermill": { "duration": 0.083653, "end_time": "2021-08-07T18:30:07.218076", "exception": false, "start_time": "2021-08-07T18:30:07.134423", "status": "completed" }, "tags": [] }, "source": [ "### Comments\n", "The accuracy looks good, but if you dig in the confusuion matrix, you can see that the algorithms can't make the difference between Dead and Alive patients. As expected during the preliminary analysis, all 4 models consider Dead patients as Alive..." ] }, { "cell_type": "markdown", "id": "a7d1be30", "metadata": { "papermill": { "duration": 0.08507, "end_time": "2021-08-07T18:30:07.387581", "exception": false, "start_time": "2021-08-07T18:30:07.302511", "status": "completed" }, "tags": [] }, "source": [ "# Optimization" ] }, { "cell_type": "code", "execution_count": 32, "id": "c9e33fc1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:30:07.561987Z", "iopub.status.busy": "2021-08-07T18:30:07.561314Z", "iopub.status.idle": "2021-08-07T18:30:07.565139Z", "shell.execute_reply": "2021-08-07T18:30:07.564698Z", "shell.execute_reply.started": "2021-08-07T18:24:31.994478Z" }, "papermill": { "duration": 0.092549, "end_time": "2021-08-07T18:30:07.565278", "exception": false, "start_time": "2021-08-07T18:30:07.472729", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "dict_keys(['memory', 'steps', 'verbose', 'pipeline', 'standardscaler', 'svc', 'pipeline__memory', 'pipeline__steps', 'pipeline__verbose', 'pipeline__polynomialfeatures', 'pipeline__selectkbest', 'pipeline__polynomialfeatures__degree', 'pipeline__polynomialfeatures__include_bias', 'pipeline__polynomialfeatures__interaction_only', 'pipeline__polynomialfeatures__order', 'pipeline__selectkbest__k', 'pipeline__selectkbest__score_func', 'standardscaler__copy', 'standardscaler__with_mean', 'standardscaler__with_std', 'svc__C', 'svc__break_ties', 'svc__cache_size', 'svc__class_weight', 'svc__coef0', 'svc__decision_function_shape', 'svc__degree', 'svc__gamma', 'svc__kernel', 'svc__max_iter', 'svc__probability', 'svc__random_state', 'svc__shrinking', 'svc__tol', 'svc__verbose'])" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.model_selection import RandomizedSearchCV\n", "SVMPipeline.get_params().keys()" ] }, { "cell_type": "code", "execution_count": 33, "id": "2e79604d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:30:07.743375Z", "iopub.status.busy": "2021-08-07T18:30:07.742724Z", "iopub.status.idle": "2021-08-07T18:30:12.921279Z", "shell.execute_reply": "2021-08-07T18:30:12.920768Z", "shell.execute_reply.started": "2021-08-07T18:24:32.003872Z" }, "papermill": { "duration": 5.271487, "end_time": "2021-08-07T18:30:12.921447", "exception": false, "start_time": "2021-08-07T18:30:07.649960", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "RandomizedSearchCV(estimator=Pipeline(steps=[('pipeline',\n", " Pipeline(steps=[('polynomialfeatures',\n", " PolynomialFeatures()),\n", " ('selectkbest',\n", " SelectKBest())])),\n", " ('standardscaler',\n", " StandardScaler()),\n", " ('svc', SVC(random_state=0))]),\n", " n_iter=40,\n", " param_distributions={'pipeline__polynomialfeatures__degree': [3,\n", " 4],\n", " 'pipeline__selectkbest__k': range(40, 60),\n", " 'svc__C': [1, 10, 100, 1000, 10000],\n", " 'svc__gamma': [0.01, 0.001, 0.0001]},\n", " scoring='recall')" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hyper_params = {\n", " 'svc__gamma':[1e-2,1e-3,1e-4],\n", " 'svc__C':[1,10,100,1000,10000],\n", " 'pipeline__polynomialfeatures__degree':[3,4],\n", " 'pipeline__selectkbest__k':range(40,60)\n", "}\n", "\n", "grid = RandomizedSearchCV(SVMPipeline,hyper_params,scoring='recall',n_iter=40)\n", "\n", "grid.fit(X_train,y_train)" ] }, { "cell_type": "code", "execution_count": 34, "id": "7c197d47", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:30:13.105036Z", "iopub.status.busy": "2021-08-07T18:30:13.104404Z", "iopub.status.idle": "2021-08-07T18:30:13.114695Z", "shell.execute_reply": "2021-08-07T18:30:13.115125Z", "shell.execute_reply.started": "2021-08-07T18:24:37.218152Z" }, "papermill": { "duration": 0.1082, "end_time": "2021-08-07T18:30:13.115304", "exception": false, "start_time": "2021-08-07T18:30:13.007104", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'svc__gamma': 0.001, 'svc__C': 10, 'pipeline__selectkbest__k': 57, 'pipeline__polynomialfeatures__degree': 3}\n", "1.0\n", " precision recall f1-score support\n", "\n", " 0.0 0.00 0.00 0.00 11\n", " 1.0 0.83 1.00 0.91 55\n", "\n", " accuracy 0.83 66\n", " macro avg 0.42 0.50 0.45 66\n", "weighted avg 0.69 0.83 0.76 66\n", "\n" ] } ], "source": [ "print(grid.best_params_)\n", "print(grid.best_score_)\n", "ypred = grid.predict(X_test)\n", "print(classification_report(y_test,ypred))" ] }, { "cell_type": "code", "execution_count": 35, "id": "fb440171", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:30:13.295764Z", "iopub.status.busy": "2021-08-07T18:30:13.295045Z", "iopub.status.idle": "2021-08-07T18:30:14.205874Z", "shell.execute_reply": "2021-08-07T18:30:14.205192Z", "shell.execute_reply.started": "2021-08-07T18:24:37.239658Z" }, "papermill": { "duration": 1.004301, "end_time": "2021-08-07T18:30:14.206022", "exception": false, "start_time": "2021-08-07T18:30:13.201721", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[ 0 11]\n", " [ 0 55]]\n", " precision recall f1-score support\n", "\n", " 0.0 0.00 0.00 0.00 11\n", " 1.0 0.83 1.00 0.91 55\n", "\n", " accuracy 0.83 66\n", " macro avg 0.42 0.50 0.45 66\n", "weighted avg 0.69 0.83 0.76 66\n", "\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "evaluation(grid.best_estimator_)" ] }, { "cell_type": "markdown", "id": "25909896", "metadata": { "papermill": { "duration": 0.08674, "end_time": "2021-08-07T18:30:14.379906", "exception": false, "start_time": "2021-08-07T18:30:14.293166", "status": "completed" }, "tags": [] }, "source": [ "# Conclusion\n", "\n", "According to the results shown above, these 4 models (RF, AdaBoost, KNN, SVM) can't make the classification between Dead and Alive patients.\n", "\n", "## Hypothesis\n", "\n", "- The features have no impact on the target\n", "- There isn't enough rows in the dataset (need more people)\n", "- The dataset isn't representative of the population" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 70.812032, "end_time": "2021-08-07T18:30:15.678738", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:29:04.866706", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/596/70596380.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "70fa4480", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T18:37:11.576033Z", "iopub.status.busy": "2021-08-07T18:37:11.575322Z", "iopub.status.idle": "2021-08-07T18:37:11.590415Z", "shell.execute_reply": "2021-08-07T18:37:11.589667Z", "shell.execute_reply.started": "2021-08-07T18:36:28.795169Z" }, "papermill": { "duration": 0.079955, "end_time": "2021-08-07T18:37:11.590605", "exception": false, "start_time": "2021-08-07T18:37:11.510650", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/kaggle/input/the-boston-houseprice-data/boston.csv\n" ] } ], "source": [ "# This Python 3 environment comes with many helpful analytics libraries installed\n", "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "# For example, here's several helpful packages to load\n", "\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "\n", "# Input data files are available in the read-only \"../input/\" directory\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n", "\n", "import os\n", "for dirname, _, filenames in os.walk('/kaggle/input'):\n", " for filename in filenames:\n", " print(os.path.join(dirname, filename))\n", "\n", "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n", "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session" ] }, { "cell_type": "markdown", "id": "70e9fefb", "metadata": { "papermill": { "duration": 0.052362, "end_time": "2021-08-07T18:37:11.695212", "exception": false, "start_time": "2021-08-07T18:37:11.642850", "status": "completed" }, "tags": [] }, "source": [ "## <center> Boston House Price Predction </center>" ] }, { "cell_type": "markdown", "id": "129feb71", "metadata": { "papermill": { "duration": 0.053709, "end_time": "2021-08-07T18:37:11.800255", "exception": false, "start_time": "2021-08-07T18:37:11.746546", "status": "completed" }, "tags": [] }, "source": [ "<center> <img src=\"https://media.thestar.com.my/Prod/D4A838DE-5A4E-4A3B-B970-C7E9E6A8EB7B\" > </center>" ] }, { "cell_type": "markdown", "id": "c64838a7", "metadata": { "papermill": { "duration": 0.054706, "end_time": "2021-08-07T18:37:11.914923", "exception": false, "start_time": "2021-08-07T18:37:11.860217", "status": "completed" }, "tags": [] }, "source": [ "#### Following are the list of algorithms that are used in this notebook \n", "\n", "\| Algorithms \|\n", "\| ------------------ \| \n", "\| Linear Regression \|\n", "\| Decision Tree \| \n", "\| Random Forest \|\n", "\| XGBoost \| " ] }, { "cell_type": "code", "execution_count": 2, "id": "36574567", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:12.026668Z", "iopub.status.busy": "2021-08-07T18:37:12.025985Z", "iopub.status.idle": "2021-08-07T18:37:12.029216Z", "shell.execute_reply": "2021-08-07T18:37:12.028544Z", "shell.execute_reply.started": "2021-08-07T18:36:28.807711Z" }, "papermill": { "duration": 0.061592, "end_time": "2021-08-07T18:37:12.029367", "exception": false, "start_time": "2021-08-07T18:37:11.967775", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# To prevent from warnings\n", "\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "code", "execution_count": 3, "id": "6e6e38a0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:12.141128Z", "iopub.status.busy": "2021-08-07T18:37:12.140398Z", "iopub.status.idle": "2021-08-07T18:37:14.725393Z", "shell.execute_reply": "2021-08-07T18:37:14.725950Z", "shell.execute_reply.started": "2021-08-07T18:36:28.820247Z" }, "papermill": { "duration": 2.643449, "end_time": "2021-08-07T18:37:14.726123", "exception": false, "start_time": "2021-08-07T18:37:12.082674", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Importing Libraries\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import plotly.express as px\n", "from statsmodels.graphics.gofplots import qqplot\n", "import seaborn as sns\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "id": "dd30e16e", "metadata": { "execution": { "iopub.execute_input": "2021-07-18T16:02:21.477003Z", "iopub.status.busy": "2021-07-18T16:02:21.476628Z", "iopub.status.idle": "2021-07-18T16:02:21.488803Z", "shell.execute_reply": "2021-07-18T16:02:21.487782Z", "shell.execute_reply.started": "2021-07-18T16:02:21.476974Z" }, "papermill": { "duration": 0.05132, "end_time": "2021-08-07T18:37:14.828245", "exception": false, "start_time": "2021-08-07T18:37:14.776925", "status": "completed" }, "tags": [] }, "source": [ "<!-- Attribute Information\n", "\n", "Input features in order:\n", "1) CRIM: per capita crime rate by town\n", "2) ZN: proportion of residential land zoned for lots over 25,000 sq.ft.\n", "3) INDUS: proportion of non-retail business acres per town\n", "4) CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise)\n", "5) NOX: nitric oxides concentration (parts per 10 million) [parts/10M]\n", "6) RM: average number of rooms per dwelling\n", "7) AGE: proportion of owner-occupied units built prior to 1940\n", "8) DIS: weighted distances to five Boston employment centres\n", "9) RAD: index of accessibility to radial highways\n", "10) TAX: full-value property-tax rate per $10,000 [$/10k]\n", "11) PTRATIO: pupil-teacher ratio by town\n", "12) B: The result of the equation B=1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n", "13) LSTAT: % lower status of the population\n", "\n", "Output variable:\n", "1) MEDV: Median value of owner-occupied homes in $1000's [k$] -->" ] }, { "cell_type": "code", "execution_count": 4, "id": "e3ad5726", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:14.933530Z", "iopub.status.busy": "2021-08-07T18:37:14.932858Z", "iopub.status.idle": "2021-08-07T18:37:14.947648Z", "shell.execute_reply": "2021-08-07T18:37:14.948135Z", "shell.execute_reply.started": "2021-08-07T18:36:28.834412Z" }, "papermill": { "duration": 0.068822, "end_time": "2021-08-07T18:37:14.948330", "exception": false, "start_time": "2021-08-07T18:37:14.879508", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Reading the dataset\n", "df = pd.read_csv('/kaggle/input/the-boston-houseprice-data/boston.csv')" ] }, { "cell_type": "code", "execution_count": 5, "id": "39a5d762", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.054124Z", "iopub.status.busy": "2021-08-07T18:37:15.053421Z", "iopub.status.idle": "2021-08-07T18:37:15.093090Z", "shell.execute_reply": "2021-08-07T18:37:15.092417Z", "shell.execute_reply.started": "2021-08-07T18:36:28.854198Z" }, "papermill": { "duration": 0.093765, "end_time": "2021-08-07T18:37:15.093243", "exception": false, "start_time": "2021-08-07T18:37:14.999478", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>CRIM</th>\n", " <th>ZN</th>\n", " <th>INDUS</th>\n", " <th>CHAS</th>\n", " <th>NOX</th>\n", " <th>RM</th>\n", " <th>AGE</th>\n", " <th>DIS</th>\n", " <th>RAD</th>\n", " <th>TAX</th>\n", " <th>PTRATIO</th>\n", " <th>B</th>\n", " <th>LSTAT</th>\n", " <th>MEDV</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0.00632</td>\n", " <td>18.0</td>\n", " <td>2.31</td>\n", " <td>0</td>\n", " <td>0.538</td>\n", " <td>6.575</td>\n", " <td>65.2</td>\n", " <td>4.0900</td>\n", " <td>1</td>\n", " <td>296.0</td>\n", " <td>15.3</td>\n", " <td>396.90</td>\n", " <td>4.98</td>\n", " <td>24.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0.02731</td>\n", " <td>0.0</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>6.421</td>\n", " <td>78.9</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>242.0</td>\n", " <td>17.8</td>\n", " <td>396.90</td>\n", " <td>9.14</td>\n", " <td>21.6</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>0.02729</td>\n", " <td>0.0</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>7.185</td>\n", " <td>61.1</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>242.0</td>\n", " <td>17.8</td>\n", " <td>392.83</td>\n", " <td>4.03</td>\n", " <td>34.7</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>0.03237</td>\n", " <td>0.0</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>6.998</td>\n", " <td>45.8</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>222.0</td>\n", " <td>18.7</td>\n", " <td>394.63</td>\n", " <td>2.94</td>\n", " <td>33.4</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>0.06905</td>\n", " <td>0.0</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>7.147</td>\n", " <td>54.2</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>222.0</td>\n", " <td>18.7</td>\n", " <td>396.90</td>\n", " <td>5.33</td>\n", " <td>36.2</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX \\\n", "0 0.00632 18.0 2.31 0 0.538 6.575 65.2 4.0900 1 296.0 \n", "1 0.02731 0.0 7.07 0 0.469 6.421 78.9 4.9671 2 242.0 \n", "2 0.02729 0.0 7.07 0 0.469 7.185 61.1 4.9671 2 242.0 \n", "3 0.03237 0.0 2.18 0 0.458 6.998 45.8 6.0622 3 222.0 \n", "4 0.06905 0.0 2.18 0 0.458 7.147 54.2 6.0622 3 222.0 \n", "\n", " PTRATIO B LSTAT MEDV \n", "0 15.3 396.90 4.98 24.0 \n", "1 17.8 396.90 9.14 21.6 \n", "2 17.8 392.83 4.03 34.7 \n", "3 18.7 394.63 2.94 33.4 \n", "4 18.7 396.90 5.33 36.2 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Display top 5 rows of the datasets\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "2d304a26", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.202979Z", "iopub.status.busy": "2021-08-07T18:37:15.202161Z", "iopub.status.idle": "2021-08-07T18:37:15.205675Z", "shell.execute_reply": "2021-08-07T18:37:15.206132Z", "shell.execute_reply.started": "2021-08-07T18:36:28.881901Z" }, "papermill": { "duration": 0.060777, "end_time": "2021-08-07T18:37:15.206346", "exception": false, "start_time": "2021-08-07T18:37:15.145569", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(506, 14)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Getting the shape of dataset ( means number of rows and column)\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 7, "id": "fbdfd9da", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.323572Z", "iopub.status.busy": "2021-08-07T18:37:15.317806Z", "iopub.status.idle": "2021-08-07T18:37:15.378658Z", "shell.execute_reply": "2021-08-07T18:37:15.379190Z", "shell.execute_reply.started": "2021-08-07T18:36:28.890080Z" }, "papermill": { "duration": 0.118286, "end_time": "2021-08-07T18:37:15.379365", "exception": false, "start_time": "2021-08-07T18:37:15.261079", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>CRIM</th>\n", " <th>ZN</th>\n", " <th>INDUS</th>\n", " <th>CHAS</th>\n", " <th>NOX</th>\n", " <th>RM</th>\n", " <th>AGE</th>\n", " <th>DIS</th>\n", " <th>RAD</th>\n", " <th>TAX</th>\n", " <th>PTRATIO</th>\n", " <th>B</th>\n", " <th>LSTAT</th>\n", " <th>MEDV</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " <td>506.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>3.613524</td>\n", " <td>11.363636</td>\n", " <td>11.136779</td>\n", " <td>0.069170</td>\n", " <td>0.554695</td>\n", " <td>6.284634</td>\n", " <td>68.574901</td>\n", " <td>3.795043</td>\n", " <td>9.549407</td>\n", " <td>408.237154</td>\n", " <td>18.455534</td>\n", " <td>356.674032</td>\n", " <td>12.653063</td>\n", " <td>22.532806</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>8.601545</td>\n", " <td>23.322453</td>\n", " <td>6.860353</td>\n", " <td>0.253994</td>\n", " <td>0.115878</td>\n", " <td>0.702617</td>\n", " <td>28.148861</td>\n", " <td>2.105710</td>\n", " <td>8.707259</td>\n", " <td>168.537116</td>\n", " <td>2.164946</td>\n", " <td>91.294864</td>\n", " <td>7.141062</td>\n", " <td>9.197104</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>0.006320</td>\n", " <td>0.000000</td>\n", " <td>0.460000</td>\n", " <td>0.000000</td>\n", " <td>0.385000</td>\n", " <td>3.561000</td>\n", " <td>2.900000</td>\n", " <td>1.129600</td>\n", " <td>1.000000</td>\n", " <td>187.000000</td>\n", " <td>12.600000</td>\n", " <td>0.320000</td>\n", " <td>1.730000</td>\n", " <td>5.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>0.082045</td>\n", " <td>0.000000</td>\n", " <td>5.190000</td>\n", " <td>0.000000</td>\n", " <td>0.449000</td>\n", " <td>5.885500</td>\n", " <td>45.025000</td>\n", " <td>2.100175</td>\n", " <td>4.000000</td>\n", " <td>279.000000</td>\n", " <td>17.400000</td>\n", " <td>375.377500</td>\n", " <td>6.950000</td>\n", " <td>17.025000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>0.256510</td>\n", " <td>0.000000</td>\n", " <td>9.690000</td>\n", " <td>0.000000</td>\n", " <td>0.538000</td>\n", " <td>6.208500</td>\n", " <td>77.500000</td>\n", " <td>3.207450</td>\n", " <td>5.000000</td>\n", " <td>330.000000</td>\n", " <td>19.050000</td>\n", " <td>391.440000</td>\n", " <td>11.360000</td>\n", " <td>21.200000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>3.677083</td>\n", " <td>12.500000</td>\n", " <td>18.100000</td>\n", " <td>0.000000</td>\n", " <td>0.624000</td>\n", " <td>6.623500</td>\n", " <td>94.075000</td>\n", " <td>5.188425</td>\n", " <td>24.000000</td>\n", " <td>666.000000</td>\n", " <td>20.200000</td>\n", " <td>396.225000</td>\n", " <td>16.955000</td>\n", " <td>25.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>88.976200</td>\n", " <td>100.000000</td>\n", " <td>27.740000</td>\n", " <td>1.000000</td>\n", " <td>0.871000</td>\n", " <td>8.780000</td>\n", " <td>100.000000</td>\n", " <td>12.126500</td>\n", " <td>24.000000</td>\n", " <td>711.000000</td>\n", " <td>22.000000</td>\n", " <td>396.900000</td>\n", " <td>37.970000</td>\n", " <td>50.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " CRIM ZN INDUS CHAS NOX RM \\\n", "count 506.000000 506.000000 506.000000 506.000000 506.000000 506.000000 \n", "mean 3.613524 11.363636 11.136779 0.069170 0.554695 6.284634 \n", "std 8.601545 23.322453 6.860353 0.253994 0.115878 0.702617 \n", "min 0.006320 0.000000 0.460000 0.000000 0.385000 3.561000 \n", "25% 0.082045 0.000000 5.190000 0.000000 0.449000 5.885500 \n", "50% 0.256510 0.000000 9.690000 0.000000 0.538000 6.208500 \n", "75% 3.677083 12.500000 18.100000 0.000000 0.624000 6.623500 \n", "max 88.976200 100.000000 27.740000 1.000000 0.871000 8.780000 \n", "\n", " AGE DIS RAD TAX PTRATIO B \\\n", "count 506.000000 506.000000 506.000000 506.000000 506.000000 506.000000 \n", "mean 68.574901 3.795043 9.549407 408.237154 18.455534 356.674032 \n", "std 28.148861 2.105710 8.707259 168.537116 2.164946 91.294864 \n", "min 2.900000 1.129600 1.000000 187.000000 12.600000 0.320000 \n", "25% 45.025000 2.100175 4.000000 279.000000 17.400000 375.377500 \n", "50% 77.500000 3.207450 5.000000 330.000000 19.050000 391.440000 \n", "75% 94.075000 5.188425 24.000000 666.000000 20.200000 396.225000 \n", "max 100.000000 12.126500 24.000000 711.000000 22.000000 396.900000 \n", "\n", " LSTAT MEDV \n", "count 506.000000 506.000000 \n", "mean 12.653063 22.532806 \n", "std 7.141062 9.197104 \n", "min 1.730000 5.000000 \n", "25% 6.950000 17.025000 \n", "50% 11.360000 21.200000 \n", "75% 16.955000 25.000000 \n", "max 37.970000 50.000000 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# To view some basic statistical details \n", "df.describe()" ] }, { "cell_type": "code", "execution_count": 8, "id": "6dada127", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.488983Z", "iopub.status.busy": "2021-08-07T18:37:15.488033Z", "iopub.status.idle": "2021-08-07T18:37:15.506129Z", "shell.execute_reply": "2021-08-07T18:37:15.506668Z", "shell.execute_reply.started": "2021-08-07T18:36:28.953338Z" }, "papermill": { "duration": 0.074158, "end_time": "2021-08-07T18:37:15.506852", "exception": false, "start_time": "2021-08-07T18:37:15.432694", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 506 entries, 0 to 505\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 CRIM 506 non-null float64\n", " 1 ZN 506 non-null float64\n", " 2 INDUS 506 non-null float64\n", " 3 CHAS 506 non-null int64 \n", " 4 NOX 506 non-null float64\n", " 5 RM 506 non-null float64\n", " 6 AGE 506 non-null float64\n", " 7 DIS 506 non-null float64\n", " 8 RAD 506 non-null int64 \n", " 9 TAX 506 non-null float64\n", " 10 PTRATIO 506 non-null float64\n", " 11 B 506 non-null float64\n", " 12 LSTAT 506 non-null float64\n", " 13 MEDV 506 non-null float64\n", "dtypes: float64(12), int64(2)\n", "memory usage: 55.5 KB\n" ] } ], "source": [ "# getting the information about dataframe\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 9, "id": "afa33736", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.620228Z", "iopub.status.busy": "2021-08-07T18:37:15.619522Z", "iopub.status.idle": "2021-08-07T18:37:15.622597Z", "shell.execute_reply": "2021-08-07T18:37:15.623075Z", "shell.execute_reply.started": "2021-08-07T18:36:28.968748Z" }, "papermill": { "duration": 0.063647, "end_time": "2021-08-07T18:37:15.623253", "exception": false, "start_time": "2021-08-07T18:37:15.559606", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "CRIM 0\n", "ZN 0\n", "INDUS 0\n", "CHAS 0\n", "NOX 0\n", "RM 0\n", "AGE 0\n", "DIS 0\n", "RAD 0\n", "TAX 0\n", "PTRATIO 0\n", "B 0\n", "LSTAT 0\n", "MEDV 0\n", "dtype: int64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# check for null value \n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 10, "id": "5bfcfc12", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.734378Z", "iopub.status.busy": "2021-08-07T18:37:15.733710Z", "iopub.status.idle": "2021-08-07T18:37:15.748585Z", "shell.execute_reply": "2021-08-07T18:37:15.749105Z", "shell.execute_reply.started": "2021-08-07T18:36:28.984199Z" }, "papermill": { "duration": 0.072989, "end_time": "2021-08-07T18:37:15.749280", "exception": false, "start_time": "2021-08-07T18:37:15.676291", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "CRIM 504\n", "ZN 26\n", "INDUS 76\n", "CHAS 2\n", "NOX 81\n", "RM 446\n", "AGE 356\n", "DIS 412\n", "RAD 9\n", "TAX 66\n", "PTRATIO 46\n", "B 357\n", "LSTAT 455\n", "MEDV 229\n", "dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# checking number of unique values in each column\n", "df.nunique()" ] }, { "cell_type": "markdown", "id": "8216bd03", "metadata": { "papermill": { "duration": 0.054019, "end_time": "2021-08-07T18:37:15.856925", "exception": false, "start_time": "2021-08-07T18:37:15.802906", "status": "completed" }, "tags": [] }, "source": [ "* Here we can see that few variables are categorical but they are present in integer format." ] }, { "cell_type": "code", "execution_count": 11, "id": "1663b792", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:15.968076Z", "iopub.status.busy": "2021-08-07T18:37:15.967460Z", "iopub.status.idle": "2021-08-07T18:37:16.502009Z", "shell.execute_reply": "2021-08-07T18:37:16.501421Z", "shell.execute_reply.started": "2021-08-07T18:36:28.998817Z" }, "papermill": { "duration": 0.591301, "end_time": "2021-08-07T18:37:16.502159", "exception": false, "start_time": "2021-08-07T18:37:15.910858", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the presence of null value using heatmap\n", "sns.heatmap(df.isnull())" ] }, { "cell_type": "code", "execution_count": 12, "id": "29f4de25", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:16.620260Z", "iopub.status.busy": "2021-08-07T18:37:16.618806Z", "iopub.status.idle": "2021-08-07T18:37:18.053705Z", "shell.execute_reply": "2021-08-07T18:37:18.054220Z", "shell.execute_reply.started": "2021-08-07T18:36:29.476338Z" }, "papermill": { "duration": 1.496227, "end_time": "2021-08-07T18:37:18.054393", "exception": false, "start_time": "2021-08-07T18:37:16.558166", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x576 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# correlation using heatmap\n", "plt.figure(figsize=(10,8))\n", "sns.heatmap(df.corr(), annot = True, cmap='coolwarm')" ] }, { "cell_type": "code", "execution_count": 13, "id": "5928856c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:18.184537Z", "iopub.status.busy": "2021-08-07T18:37:18.178586Z", "iopub.status.idle": "2021-08-07T18:37:18.188477Z", "shell.execute_reply": "2021-08-07T18:37:18.187873Z", "shell.execute_reply.started": "2021-08-07T18:36:30.809212Z" }, "papermill": { "duration": 0.074906, "end_time": "2021-08-07T18:37:18.188643", "exception": false, "start_time": "2021-08-07T18:37:18.113737", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "TAX RAD 0.910228\n", "NOX DIS 0.769230\n", "INDUS NOX 0.763651\n", "AGE DIS 0.747881\n", "MEDV LSTAT 0.737663\n", "NOX AGE 0.731470\n", "TAX INDUS 0.720760\n", "dtype: float64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Unstacking the correlation values to check the correlation between the feature columns\n", "\n", "corr = df.corr()\n", "c1 = corr.abs().unstack()\n", "c1.sort_values(ascending = False)[14:28:2]" ] }, { "cell_type": "code", "execution_count": 14, "id": "21497138", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:18.366930Z", "iopub.status.busy": "2021-08-07T18:37:18.357222Z", "iopub.status.idle": "2021-08-07T18:37:18.888241Z", "shell.execute_reply": "2021-08-07T18:37:18.887468Z", "shell.execute_reply.started": "2021-08-07T18:36:30.820234Z" }, "papermill": { "duration": 0.637469, "end_time": "2021-08-07T18:37:18.888415", "exception": false, "start_time": "2021-08-07T18:37:18.250946", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "[Text(0.5, 1.0, 'LSTAT quantile plot')]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA34AAAEWCAYAAAA5EUUKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABd9ElEQVR4nO3dd5hU9fXH8fehV0GKlbIIqAGxIGKvoKKxB6Ioxk4ENZZoFNtPidiiqLGTYF+DBRWiJKhYoxFFRaUIUpamSBERRBDY8/vjezcM6/ad2Tvl83qe+8zMnVvOjLJ3zv2WY+6OiIiIiIiIZK9acQcgIiIiIiIiqaXET0REREREJMsp8RMREREREclySvxERERERESynBI/ERERERGRLKfET0REREREJMsp8RNJU2Z2ppn9J+H1ajPbIUnHvtrM/h49zzMzN7M6STp2uyjW2sk4noiISFxSeb0sdp4CM+ud7OOKJFLiJzmlrD+s0R/3uVHSstDMnonWT43WrTazjWa2NuH11dE2Hcys0MweTDje6oSl0Mx+Snh9WmVjd/cm7j6nnM93iJktrMCxbnb3cysbQynn3Ow7dff5Uawbk3F8ERFJvky+HqZKSdfQZF4vk6Gi13mRkiT9joVIJjKzM4DTgd7uPtvMtgGOA3D3rgnbvQU85e5/L3aI3wErgJPN7BJ3X+fuTRL2KwDOdffXU/tJymdmddx9Q9xxiIhI+sml66FIrlGLn0iwFzDe3WcDuPtidx9RkR3NzAgXumuB9cCxVQnAzFqa2Vgz+8HMPgQ6FnvfzaxT9PxoM5tmZqvMbJGZXW5mjYF/Adsl3EndzsxuMLPnzewpM/sBODNa91SxEM42s6/N7BszuzzhvI+Z2U0Jr/93t9HMngTaAf+Mzven4l1hohjGmtl3ZjbLzM5LONYNZvasmT0RfZapZtajKt+fiIgkRdpdD83szxYNfSh+jYnWvWVm50bPO5rZG2a23MyWmVm+mTVP2LYgumZ+bmYrzewZM2tQzjW0+PWy6FjNzGxkdN1cZGY3WSnDHBKuxc9E17tPzGy3Uratb2Z3R9fkr6Pn9UuLsSrfseQmJX4iwQfA78zsCjPrUdof7lIcALQBRgHPAmdUMYb7gbXAtsDZ0VKakcDv3b0psAvwhrv/CBwFfB11tWzi7l9H2x8PPA80B/JLOeahQGfgCOBKq8BYA3c/HZgPHBud7/YSNhsFLAS2A/oCN5vZYQnvHxdt0xwYC9xX3nlFRCRlMu16WJwBtxCuOb8C2gI3FNvmt0AfoAOwK3BmOdfQ0jwGbAA6AXsQrp9ldQs9HngOaAE8DbxkZnVL2O4aYB9gd2A3oCdwbRVjFPkfJX4igLs/BVwEHAm8DSwxsysruPsZwL/cfQXhD3kfM9uqMuePLqy/Aa539x/dfQrweBm7rAe6mNkW7r7C3T8p5xT/dfeX3L3Q3X8qZZsbo3N/ATwK9K/MZyiJmbUF9geudPe17j4Z+DvhjnCR/7j7uGhM4JOEi5yIiMQgA6+HxeOf5e6vRV1MlwLDgYOLbfZXd//a3b8D/klIsCrFzLYGjgYuieJcAtwFnFLGbh+7+/Puvj6KqwEhwSvuNGCouy+JPsONhO63ItWixE8k4u757t6b0PJ0PvBnMzuyrH3MrCHQj6gVzd3/S2gBO7WSp29NGHO7IGHdvDK2/w3hgjPPzN42s33LOf6Cct4vvs08wt3S6toO+M7dVxU79vYJrxcnPF8DNLAUzJgmIiIVk2HXw+JxbG1mo6Kulz8ATwGtim1W/LrThMprD9QFvjGz783se+BhoKxE93+fyd0L2dQbprjt2PwzJ+uaLDlOiZ9IMe6+3t2fAz4ndKMsy4nAFsADZrbYzBYTkprKdm9ZSugu0jZhXbsyYvzI3Y8nXGBeInSpAfDSdqlADMXPXdR95EegUcJ721Ti2F8DLcysabFjL6pAPCIiEqM0vR7+GD2Wdl26mXBd6ubuWwADCN0/K6Ii18oiC4B1QCt3bx4tWyROgFOC/30mM6tF6BZbUlfNrwmJZZHEa3JlYhTZjBI/yUV1o4HcRUsdCzXzfm1mTc2slpkdBXQFJpZzrDOAR4BuhK4iuxO6Nu5mZt0qGlDUzfEF4AYza2RmXSjlYmlm9czsNDNrFnUX+QEojN7+FmhpZs0qeu4E10Xn7gqcBTwTrZ8MHG1mLSzM7nZJsf2+BUqsL+juC4D3gVui73pX4BzCHVgREYlXxl0Po66Pi4ABZlbbzM5m88nQmgKrgZVmtj1wRUXPTSWuoe7+DfAqcKeZbRF9Vx3NrHi30kR7mtlJUa+WSwiJ4wclbPcP4Foza21mrYDr2XTdrM51XnKcEj/JReOAnxKWGwjJ09WEbinfA7cDg9z9PyUfAqILSi/g7mjWs6LlY+DfVP4u54WE7iaLCQPGHy1j29OBgqgby/mE8QC4+5eEC8acqOtJZbqGvA3MAiYAd7j7q9H6J4HPgALCRe6ZYvvdQrhAfW8Js4Em6A/kEe5Wvgj8n6bxFhFJC5l6PTyPkNAtJySl7ye8dyPQHVgJvEJIIiukCtfQ3wH1gGmEEhbPEyakKc0Y4ORo29OBk6IbuMXdBEwitLR+AXwSravudV5ynLmrxVhERERE0pOZnUmo/XdA3LFUlZndAHRy9wFxxyK5Sy1+IiIiIiIiWU6Jn4iIiIiISJZTV08REZE0FtU1mwQscvdjzKwDoUB2S+Bj4HR3/znOGEVEJP2pxU9ERCS9XQxMT3h9G3CXu3ciTBJxTixRiYhIRsmaFr9WrVp5Xl5e3GGIiEgN+Pjjj5e5e+u440g1M2sDPA4MAy4DjiXUOdvG3TeY2b7ADe5eZnFtXSNFRHJDWdfHOjUdTKrk5eUxadKkuMMQEZEaYGbz4o6hhtwN/IlQmwxC987v3X1D9HohoUj2L5jZQGAgQLt27XSNFBHJAWVdH9XVU0REJA2Z2THAkqgWWqW5+wh37+HuPVq3zvrGURERKUfWtPiJiIhkmf2B48zsaKABsAVwD9DczOpErX5tgEUxxigiIhlCLX4iIiJpyN2HuHsbd88DTgHecPfTgDeBvtFmZwBjYgpRREQyiBI/ERGRzHIlcJmZzSKM+RsZczwiIpIB1NVTREQkzbn7W8Bb0fM5QM844xERkcyjFj8REREREZE0l58PeXlQq1Z4zM+v3P5q8RMREREREUlj+fkwcCCsWRNez5sXXgOcdlrFjpHSFj8z62NmM8xslpldVcL79c3smej9iWaWl/Dermb2XzObamZfmFmDVMYqIiIiIiKSjq65ZlPSV2TNmrC+olKW+JlZbeB+4CigC9DfzLoU2+wcYIW7dwLuAm6L9q0DPAWc7+5dgUOA9amKVUREREREJF3Nn1+59SVJZVfPnsCsaBA6ZjYKOB6YlrDN8cAN0fPngfvMzIAjgM/d/TMAd1+ewjhlxIjqH6OorVlERERERJKqXbvQvbOk9RWVyq6e2wMLEl4vjNaVuE1UiHYlYWrqHQE3s/Fm9omZ/SmFcYqIiIiIiNSIqkzSMmwYNGq0+bpGjcL6ikrXWT3rAAcAp0WPJ5pZr+IbmdlAM5tkZpOWLl1a0zGKiIiIiIhUWNEkLfPmgfumSVrKS/5OOy100mvfHszC44gRFZ/YBVLb1XMR0DbhdZtoXUnbLIzG9TUDlhNaB99x92UAZjYO6A5MSNzZ3UcAIwB69OjhKfgMUlGJ3UXXroVPP4U5c+C776BePdhyS9hpJ/jVr8Lrkqi7qIiIiIhksbImaSkviTvttMolesWlMvH7COhsZh0ICd4pwKnFthkLnAH8F+gLvOHubmbjgT+ZWSPgZ+BgwuQvks42boR//xvGj4d160L7c8uWsGEDTJkCEyZAgwZw6KHQuzc0aRJ3xCIiIiIiNSYZk7RUVcoSP3ffYGYXAuOB2sAj7j7VzIYCk9x9LDASeNLMZgHfEZJD3H2FmQ0nJI8OjHP3V1IVqyTBihVw//2wYAHssUdI7Dp2DG3REJK/mTPhP/8JyeHbb0PfvrDffpu2ERERERHJYsmYpKWqUlrA3d3HAeOKrbs+4flaoF8p+z5FKOkg6W7ZMrjrLli9Gs4/PyR+xdWpA126hOXrr0NH5ieegM8+gzPP/OVoVRERERGRLDNs2OaF2KHyk7RUVbpO7iKZ4scfQ9K3Zg1cemnJSV9x220Hf/wj9OsHX3wBN98MixenPlYRERERkRglY5KWqkppi59kucJCePRR+P57uPzyMB9tRdWqFbqD5uXBQw/B7beHFsNOnaoXkyaIEREREZE0Vt1JWqpKLX5Sda+9Flrs+vaFDh2qdoxOneDKK6FxY7j7bpgxI6khioiIiIiIEj+pqmXL4J//hN13h0MOqd6xWreGK66AVq3CBDGzZiUjQhERERGRGlWV4uw1RYmfVM1zz4WOySefnJxZObfYIowRbNYM7r0X5s6t/jFFRERERGpIVYuz1xQlflJ506bB5Mnw619DixbJO26zZnDZZaG+31//GkpDiIiIiIjEpKQWvNJa9coqzp4OlPhJ5bjD2LGhMHvv3sk//pZbhuSvfn24775QH1BEREREpAYkJnWtWsHZZ2/egnfWWb9cV9SqF2dx9opQ4ieV8+WXoRtmnz6hNl8qtGwJF10Ea9eG5G/t2tScR0REREQkUryr5vLl8PPPm2+zfv0v1xW16pVWhL0mirNXhBI/qZyXX4bmzWHffVN7nu23h9//PhR7HzECNm5M7flEREREJKeV1FWzoubPD0XYGzXafH1NFWevCCV+UnFz54YZN484AurWTf35unSBU0+FqVNh1Khw60VEREREJAWq0yWzXbt4i7NXhAq4S8W99VYYe7f//jV3zgMPhCVL4NVXYbvt4NBDa+7cIiIiIpIz2rUL3TzLUrduSOoSu3smturFVZy9ItTiJxXz448waRLsvTc0aFCz5z7xRNh1V3j2WZg+vWbPLSIiIiI5oaSumnXrhuknilrwHn0UHnkkxla9DRvg22+rtKsSP6mY998P/6MdfHDNn7tWLTjnHNhmm/Avq4r/s4uIiIiIlKakrpqPPgrLlkFhIRQUbGrRKyjYfF3K/fwzjBwJO+9c5RMq8ZPyucO770LHjtCmTTwxNGgAF1wQ/hU+8AD89FM8cYiIiIhI1oolqSvL2rVw//3QqROce26oe33BBVWa+0KJn5Rv3rzQyrbffvHG0aoVnH9+GPP3t7+Ff5EiIiIiItlm9Wq4807o0AEuvDA0vowbF4ZenXhiaAypJCV+Ur4PPww1+/bYI+5IYMcdoX//MNPnCy/EHY2IiIiIZLDEgu15eeF1rFauDIMN8/Lg8svDLPdvvAHvvQdHHVWlhK+IZvWUshUWhjsLu+wCjRvHHU1w0EGwaBG89lqY6TPulkgRERERyThFBduLavfNmxdeQwxdPJctg3vugXvvDcnf0UeHwoJJ/J2rFj8p28yZ4X++nj3jjmRzv/1tGNyanw+zZ8cdjYiIiIhkmJIKtq9ZE9bXmMWL4YorQgvfTTdBr17w8cfwyitJb9xQ4idl++ijULuvW7e4I9lc7drhlkyLFvDgg/Ddd3FHJCIiIiIZpLSC7dUp5F5hCxbARReFMXzDh8Pxx8OUKTB6NHTvnpJTKvGT0hUWwmefhW6e9erFHc0vNW4MgwfD+vVhps916+KOSEREREQyRLt2lVufFLNnw3nnhdnyH3oITj0Vvvwy9GLr2jWFJ1biJ2WZOxdWrYLdd487ktJtu234x7NwITz2mGb6FBEREZFfSJzEpVWrsMyb98u5Uho1CnOrJN306XD66WGiwiefDL9fZ80Ktfk6d07BCX9JiZ+U7rPPwr+OXXaJO5Ky7bIL/OY38MknMHRo3NGIiIiISA0rSuzMwmT0ZpsSPLOQc82bF8rfLV8eFgivi5K/9u1DAfekTuwyeTL06xda8154AS65BObMCbX52rdP4onKp1k9pXSffRbuSjRqFHck5evdO8z0eeON4R9Wv35xRyQiIiIiNaD47JwbN4bHouQOyq537h5ysIKCJAY1cWKYrOXll2GLLWDIkJD0tW6dxJNUjlr8pGTffhtmGdptt7gjqRizcHtm333hjDPg00/jjkhEpFrMrIGZfWhmn5nZVDO7MVrfwcwmmtksM3vGzNJwELaISM0paXbOykrahC5vvw2HHw777APvvx96o82bF/qPxpj0gRI/Kc0XX4THXXeNN47KqFsXXnwxtOkfd1wY9ycikrnWAYe5+27A7kAfM9sHuA24y907ASuAc+ILUUQkHoldO+fNq/7xqjWhizuMHw8HHgiHHAKffw633x6aEK+7Dpo3r36ASaDET0o2dSpss01IojLJ1lvD2LGh9mCfPirzICIZy4PV0cu60eLAYcDz0frHgRNqPjoRkXjk54efpwMGJCfhg2pM6FJYCGPGhHrXffqERO+vfw2PV1wBTZsmJ8AkSWniZ2Z9zGxG1B3lqhLerx91U5kVdVvJi9bnmdlPZjY5Wh5KZZxSzPr18NVX0KVL3JFUze67h3+EX30FxxxT/bZ/EZGYmFltM5sMLAFeA2YD37v7hmiThcD2MYUnIpJyiS17tWqFhC9x7F5lFE3i0rJlWMyqOKHLxo3wzDPhN+cJJ4SARowIs3RedBE0bFi1AFMsZYmfmdUG7geOAroA/c2seCZxDrAi6q5yF6H7SpHZ7r57tJyfqjilBLNmheQvUxM/gEMPhX/8Iwys7dcvfB4RkQzj7hvdfXegDdAT2Lmi+5rZQDObZGaTli5dmqoQRURSZvDgTbNxQtkTtJSkeIL35JPhGMuWhaWwMDTOVTjpW78eHn88/EY+5ZTw+oknYObMUJ6hfv3KBVjDUtni1xOY5e5z3P1nYBRwfLFtjid0U4HQbaWXWfFqGlLjpk6F2rXDjJ6Z7KST4MEHYdw4OPts1fgTkYzl7t8DbwL7As3NrGhW7jbAolL2GeHuPdy9R+uYJxQQEamMou6cDz5Y+WQPQpJXrQSvuHXr4OGHw2/jM8+EBg3g2WdhypSQmdbJjEIJqUz8tgcWJLwuqTvK/7aJuq2sBFpG73Uws0/N7G0zO7CkE+huZopMnw6dOqX9XYsKGTgQ/vxneOqp0Ne6Kn89RERiYGatzax59LwhcDgwnZAA9o02OwMYE0uAIiIpUFSaoardOZNagH3NGrjnHujYEc4/H7baKswlUVSbr3btJJ2oZqRrevoN0M7dl5vZnsBLZtbV3X9I3MjdRwAjAHr06KFf9Mnwww9hNswTTog7kuS55hpYsgSGD4cWLcJrEZH0ty3weDR0ohbwrLu/bGbTgFFmdhPwKTAyziBFRJKpKqUZatUKrXrt24ekr9oF2FetggcegDvvhKVL4aCD4NFHQ93oDO6cmMrEbxHQNuF1Sd1RirZZGHVbaQYsd3cnTGONu39sZrOBHYFJKYxXIPRRBti5wsNI0p8Z3H03rFgB114bZlj6wx/ijkpEpEzu/jmwRwnr5xCGU4iIZI38/JD0VWamzpYtQ4NctRO9IitWhFk577knPD/iiBDUQQcl6QTxSmXi9xHQ2cw6EBK8U4BTi20zltBN5b+EbitvuLubWWvgO3ffaGY7AJ2BOSmMVYrMnBm6eFarmEkaqlUr3Kn58Ue4+GJo0iSM+xMRERGRWBV176xoS1/SWvaKLFkCd90F998fWvuOOy4kfD2z6x5byhI/d99gZhcC44HawCPuPtXMhgKT3H0soXvKk2Y2C/iOkBwCHAQMNbP1QCFwvrurIFtNmDkTOnfOuD7LFVKnTpjp87jjwsxLTZrAb38bd1QiIiIiOakyrXxJb90DWLQI7rgjTNyydm0Yt3f11bDbbkk8SfpI6Rg/dx8HjCu27vqE52uBfiXsNxoYncrYpAQ//ADffAP77ht3JKlTvz68+CIceWT4y9GoUaj1JyIiIiI1prKtfMuWJfHkBQVw223wyCOhJt9pp8GQIdk11KkE6Tq5i8ShaHxfJpdxGDGiYtv17Qvz58OJJ4ZCm8X/oQ8cmPzYRERERIT8fPjd7ypeaat9+ySdeOZMuOWWMNu7GZx1Flx5JeywQ5JOkN5SWc5BMk22ju8rScOGYazfVluFWZtmz447IhEREZGsl58f8q2KJn1JKc/wxRfQvz/86lcwalSoDD9nTujimSNJHyjxk0QzZ4Y6Jdk4vq8kTZrAJZdAs2Zw332wYEG5u4iIiIhI1RS19K1fX7Ht27cPnbmqPK5v0qTQu2vXXeHll+Hyy0M3z3vugTZtqnjQzKXET4Iffwzj+zp3jjuSmtWsWUj+6tcPfwQWL447IhEREZGskp8PrVrBgAEVa+lr1Cj0xiwoqGLS9957cNRRsNde8NZbcP31m8b1bb11FQ6YHZT4STAnqpbRsWO8ccShZUu49NLw/K67kjx6WERERCT3FCV7ZiHhW768YvtVuZXPHSZMgEMPhQMOCK19N98cEr4bbwy/93KcEj8JZs0Kte7y8uKOJB5bbx1a/n7+OSR/X38dd0QiIiIiGaloHF9Fkz2AevWq2MrnDq+8AvvtB717w4wZMHx4ONCQIaF3lwBK/KTI7NnQtm3o8pir2rSBP/whFO7s3RuWLo07IhEREZGMc801FR/HB6Ht4ZFHKpnwFRbC6NGw556hNNfXX4cJ++bMCT25GjeudNzZTomfhPolBQW52c2zuA4d4MILYe7cUOvv++/jjkhEREQkY+TnV6wge5F69eCJJyqR9G3YEE7SrVsoz7VqVcgaZ82CQYOgQYMqxZ0LlPhJqGe3fj106hR3JOlhxx3hhRdgyhQ46aTQ/VNEREREyjR4cBjPV1EtW1aipe/nn2HkyFB7ecCAMHjw6afhyy9Dv9K6dascd65Q4iebatjlUB2Tch11VPjj8uabcN55of+4iIiIiJQoPx8eeqhi2w4aFH5aLVtWgaRv7Vq4//7QQHHuuWHM3gsvwOefh9p8uVKGLAnqxB2ApIE5c2DLLcMim5x+eujy+X//F7rBXn993BGJiIiIpKVrrin/PnnLlqF6VoVa+FavDgXW77gjlNvad9/wuk+f0NonlabET0JH7A4d4o4iPV13XUiM/+//woynv/td3BGJiIiIpJ3yxvW1bx+mlCjXypVw331hlvXly+Gww0KXzkMOUcJXTUr8ct3SpaGd/aCD4o4kPZmFYjILFoTuBZ06hemCRURERAQIY/vKUq8eDBtWzkGWLQvNgffeG5K/o48OzYj63ZU0GuOX6yZNCo+5Wr+vIurVg+efD7eqTjoJFi6MOyIRERGRtDB4MDz4YOnvN2lSzgQuixfDFVeE36I33QS9esHHH2+qzSdJoxa/XPfRR6FVq127uCNJb1tuCWPGwN57w4knwjvvQMOGcUclImnAzDoCC919nZkdAuwKPOHu38cZl4hIKuXnw9lnlz/5+apVpbyxYAHcfjv8/e/hIKecAldfDV27Jj1WCdTil+s++gi22UZJTEV06RL+yk2aBAMHaqZPESkyGthoZp2AEUBb4Ol4QxIRSa78fGjVKrQXmIWKCuUlfe3bl7By9uwwY3rHjmEa0FNPDSUZ8vOV9KWYWvxymTt8+KEKt5dkxIjS3zvuOHjqqfDXrlev0rcbODD5cYlIOip09w1mdiJwr7vfa2afxh2UiEiylNedsyRmxcb1TZ8ON98cJmqpWzckf3/6UynZoaSCWvxy2YIFsGSJ/sFV1tFHw267hXF/c+bEHY2IxG+9mfUHzgBejtapkrCIZLz8/DBGr7JJH8D550fj+iZPhn79QmveCy/AJZeE30/336/foDVMiV8u++ij8KiJXSrHDM44A1q0CC2Dq1fHHZGIxOssYF9gmLvPNbMOwJMxxyQiUmVFCd+AAfDjj5Xff9AgeOCMiXDssbDHHvDqqzBkSKjncOedsN12SY9ZyqfEL5d9+GFoam/TJu5IMk/jxqGLwqpV8OijUFgYd0QiEhN3nwZcCXwSvZ7r7rfFG5WISNX07l31hA/g0u5v88BXh8M++8D778PQoaHI37Bh0Lp1coOVSlHil8s++ih0WayrHklVkpcXui5MmRLuZIlITjKzY4HJwL+j17ub2dhYgxIRqaT8fKhfHyZMqMrezpGM56ttDmT4J4fA55+HGTsLCuC666B586TGKlWjxC9XFRaG2Sl79ow7ksx28MHQo0co9TB3btzRiEg8bgB6At8DuPtkYIf4whERqZz8fDjrrPJn6SzOKGRA0zEs69CTf9OHTnUK4K9/DQnfFVdA06apCFeqSIlfrpoxI3RT3GuvuCPJbGZh5HLz5qE66dq1cUckIjVvvbuvLLZO/b9FJGNccw2sX1/x7bdovJF3L3yGwm678+SqE2jJ8jDvwaxZcNFFKhOWppT45aqiiV3U4ld9jRqF22RLl4aZPkUk10w1s1OB2mbW2czuBd6POygRkYqaP79i29VhPY8d+jgrt+/CAfedErLFJ56AmTPD3Af166c2UKkWJX656qOPwnRNO+0UdyTZYccd4Ygj4N134bPP4o5GRGrWRUBXYB3wD+AH4JI4AxIRqYzGjct+vx7ruKzxw6xovSNnvHkmNGgAzz4b5jk4/XSoo9LgmSCliZ+Z9TGzGWY2y8yuKuH9+mb2TPT+RDPLK/Z+OzNbbWaXpzLOnPThh7DnnlC7dtyRZI/jjoO2bcOdr5XFe32JSLZy9zXufo277+XuPaLn6vctImmvaEKX0ipTNWQN93W+h3Xbd+TOH8+nSYetYOzYTbX59Dsyo6Qs8TOz2sD9wFFAF6C/mXUpttk5wAp37wTcBRSf/no48K9UxZiz1q8P/2A1vi+56tSBs88O4/xGjYo7GhFJMTP7p5mNLW2JOz4RkdIMHhymKRgwoOQJXZqwij9xGwXkccFXl0DHjmEG8w8+CLX5zGo8Zqm+VLbL9gRmufscADMbBRwPTEvY5njCbGgAzwP3mZm5u5vZCcBcoIpVRKRU06aFf+U9esQdSfbZbjs45hh46SV48UU48cS4IxKR1Lkj7gBERCojPx/OOAM2biz5/eas4A/8lYu5hxas4J0GR7DV+GvgoINqNlBJiVQmftsDCxJeLwT2Lm0bd99gZiuBlma2llAM93Cg1G6eZjYQGAjQrl275EWe7SZPDo+77x5nFNnriCPg44/DhC/z5oXJX6pq4MDkxSUiSeXub8cdg4hIRQ0eDA8+WPJ7rVnCpdzFBdzPFqxiDMdxM9fwh7/3BOV8WSNdJ3e5AbjL3UvpcRy4+4hoPEWP1q1b10xk2WDy5JCMdOoUdyTZqXbtMND5hx9g9Oi4oxGRFDGzZ6PHL8zs8+JL3PGJiBTJzy856duORQznUgrI40pu418cxW5M5gTGsOegnpx2Ws3HKqmTyha/RUDbhNdtonUlbbPQzOoAzYDlhJbBvmZ2O9AcKDSzte5+XwrjzR2TJ8Ouu2pAbiq1bw+HHx76w/fsqdlTRbLTxdHjMbFGISJShpJa+tpTwJXcxtk8Qm02ks9p3MIQZrAzAL16wQMPxBCspFQqW/w+AjqbWQczqwecAhQf7D4WOCN63hd4w4MD3T3P3fOAu4GblfQliXtI/NTNM/WOPRZat4annqpcVVQRyQju/k30dLC7z0tcgMFxxiYiAtC79+ZJX2dm8ghn8RWdOYeRPMaZ7MhMzuTxzZK+11+PKWBJqZQlfu6+AbgQGA9MB55196lmNtTMjos2G0kY0zcLuAz4RckHSbL58+H775X41YR69aB/f1iyBN54I+5oRCR1Di9h3VHVPaiZtTWzN81smplNNbOLo/UtzOw1M/sqetyyuucSkezTuzdMmBCe78IXPE1/pvMrTmEUDzCYHZjD+TzMXHYAoGXLcK9aSV/2Smm1RXcfB4wrtu76hOdrgX7lHOOGlASXqzSxS83q2hV22w1eeQX23huaN487IhFJEjMbRGjZ26HYmL6mwHtJOMUG4I/u/omZNQU+NrPXgDOBCe5+a1Qj9yrChGgiIpvN3Lknk7iGYZzIS6yiCXdwOcO5jCVs/b/tBw1St85cka6Tu0iqfPop1KoF3brFHUnu6Ncv/PV98cW4IxGR5HoaOJYwbOHYhGVPdx9Q3YO7+zfu/kn0fBWh98z2hFJIj0ebPQ6cUN1ziUh2GDw41Obbe+N7jOMoJrEXh/AWN3I9eRRwFbdtlvQ99ZSSvlyixC/XTJ4cJhqpTokBqZzWrcNELx98ALNnxx2NiCSJu6909wJ3708oWbQecKCJmSW1xpCZ5QF7ABOBrRPGFy6GhF9xm+8z0MwmmdmkpUuXJjMcEUlDgwc5Mx6cwBscynscQA8mMYSbyaOAG7iR72i52fa9eqFZO3OMEr9co4ld4tGnT+jmOWoUFBbGHY2IJJGZXQh8C7wGvBItLyfx+E2A0cAl7v5D4nvu7oRk8xdU8kgkR7jz5uWvcPpD+zGB3uzEDC5lOHkUcCtD+IFmv9hl0CCN5ctFSvxyyYoVoaC4Er+a16AB/OY3YXKdDz6IOxoRSa5LgJ3cvau7d4uWXZNxYDOrS0j68t39hWj1t2a2bfT+tsCSZJxLRDJL/pOFnNZgNJ/U2pND7zyGbfmGQTzADszhbi5lDY1/sU+vXmGCd3XvzE1K/HLJZ5+FRyV+8dhrr1Df75//VHkHkeyyAFiZ7IOamRFmv57u7sMT3koshXQGMCbZ5xaRNLZhA4/2zmf333Ujf11fmrKKs3iEznzFQwxiHQ1K3K1LF7Xy5TolfrmkaEbP3XaLNYycZQYnngjffQfvvBN3NCKSPHOAt8xsiJldVrQk4bj7A6cDh5nZ5Gg5GrgVONzMvgJ6R69FJNv9/DOMHMmiLXbmrAkDcIz+PM3OfMljnMUG6pa6a69eMHVqDcYqaalC5RzM7AXCXcd/ubsGKGWqyZNh221h6xLnAZCa8Ktfwc47w7hxsP/+oQuoiGS6+dFSL1qSwt3/A1gpb/dK1nlEJL39YeBaNv5tJFdyG+1YwGK6cyEvMIbj8Qq04ahcgxSpaB2/B4CzgL+a2XPAo+4+I3VhSUp8+qm6eaaDE0+EW26B116DY4+NOxoRqSZ3vzHuGEQk+zwzcjUfnfswQ7iDbVnMe+zH73mYf9OH0u8JbU5JnySqUOLn7q8Dr5tZM6B/9HwB8DfgKXfXgKV0t24dTJsGv/513JFIXh507x4Sv0MOgaZN445IRKrBzFoDfwK6wqbBNe5+WGxBiUjGevZvK5ky6D7+sPEuTmY5EziMU3matziEiiZ8ELp3KumTRBUe42dmLYEzgXOBT4F7gO6E6asl3U2bBhs2wB57xB2JABx3XOir/69/xR2JiFRfPvAl0AG4ESgAPoozIBHJPM8/tIyba1/HEQPbM3TjtUxkb/bjPXozgbc4lIomfWYq1yAlq1DiZ2YvAu8CjYBj3f04d3/G3S8CmqQyQEmSoold1NUzPWy7LeyzT5jkZWXSJwMUkZrV0t1HAuvd/W13PxtQa5+IlCs/H9rVW8xf7Ar6DMrj6sKbmEAvuvMxx/AK/2W/Ch9r0KBQqqGwUC19UrKKjvH7m7uPS1xhZvXdfZ2790hBXJJskydD48bQsWPckUiRo48ONf1eew369o07GhGpuqLhDt+Y2a+Br4EWMcYjIhmg/wEL2O+925nB36nHz4ziFG7maqbRtVLHqV0bHn8cTjstRYFK1qho4ncTMK7Yuv8SunpKJpg8OZRxqKUKHmljq61Cbb933oE+faCJGs9FMtRN0Rj4PwL3AlsAl8Ybkoikrdmzeb7HrTz+/eMYzhP8jlu5ill0rvShevVSl06puDITPzPbBtgeaGhme7Cpc/EWhG6fkgncQ+I3YEDckUhxRx0FH34IEybA8cfHHY2IVIG7vxw9XQkcGmcsIpLGpk9n4gk302Pm0xxDXf7GedzOn5hP+wofoksX1eOTqiuvxe9IwoQubYDhCetXAVenKCZJtrlz4YcfNL4vHW23XZjh84034PDDoZHup4hkGjN7FPDi66OxfiKS48bdPJmfrh3GiT6aXWjI3VzCnfyRb9iuwseoUwcee0zdOaV6ykz83P1x4HEz+427j66hmCTZNLFLejv6aPjkE3jzTZXbEMlMLyc8bwCcSBjnJyK5bOJEFg66iaM/fZmVbMEtDOFuLmEZrSt1GNXik2Qpr6vnAHd/Csgzs8uKv+/uw0vYTdLN5Mlh5O8uu8QdiZSkbVvo1i109+zVCxo0KH8fEUkbxW+Mmtk/gP/EFI6IxMkd3nmHby68iW2nvE5DWnAdQ7mXi1hJ8wofxgzOP18JnyRXeTN9NI4emwBNS1gkE0yeDDvvDA0bxh2JlObXv4Yff4T/6LeiSBboDGwVdxAiUoPcYfx4OOggOOQQak35nCu4nTwKuInrKpz0qSSDpFJ5XT0fjh5vrJlwJCUmTw5/iCR9degAnTuHVr9DDw0ttCKSEcxsFWGMn0WPi4ErYw1KRGpGYSH8859w000waRK0acMltf7Kw4XnspaK33BXSQapCRUt4H67mW1hZnXNbIKZLTUzTRGZCZYvhwULNL4vExx+OHz3XRjvJyIZw92buvsWCY87aly8SJbbuBGeeSb8vjrhBFi+nOE7j6D+wlncU3hRpZK+Ll1gwwYlfZJ6FS3qdoS7/wAcAxQAnYArUhWUJNFnn4VHJX7pr1s32HprePXV0M9DRNKemTU0s3PNbHi0nGpm9eKOS0RSZP360DTXpQuccgorl6/nrNpPUGfuTP745Xn8TP0KH6pJE3jqKZVnkJpT0cSvqEvor4Hn3H1liuKRZPv00/C4227xxiHlq1UrtPrNnw8zZ8YdjYiUw8y6AdOAAwk3RQsIZZDeM7PmZnZTfNGJSFKtWwcPPww77ghnnsnC5Q3ox7O0+HoKj208nY3lVkjbpEuXcH931Sq18knNquj/pS+b2ZfAT8AgM2sNrE1dWJI0kyfD9ttD68pNHSwx2WcfGDMmtPrttFPc0YhI2f4KDHT31xJXmllvYAqg+/gimW7NGvjb3+Avf4FFi5i7VU/+wF95efkxhGG9laPSDBKnCrX4uftVwH5AD3dfD/wIHJ/KwCRJJk9WN89MUrdumNxlyhT4WmXARNLctsWTPgB3fx1YT6jnJyKZaNUquO02yMuDSy7hsx87cjivssOSD3iZY6lK0vfUU0r6JF4V7eoJsDNwspn9DugLHJGakCRp1q6F6dNhjz3ijkQq4+CDQwL42i9+T4pIeqllZr8Y0GNmDYD17r4mhphEpDpWrIAbb4T27eGqq/h6mz04iLfZ/fu3eZ3DqUrCZxaSPnXrlLhVdFbPJ4E7gAOAvaKlRwX262NmM8xslpldVcL79c3smej9iWaWF63vaWaTo+UzM9Nd06qYOjXMOqUWv8zSpAnstx98+CF8+23c0YhI6Z4ARptZ+6IV0XXsWeDJuIISkSpYsgSGDAkJ3w03wIEHcttJE9n+i/G8S9VLYvXqFSo+KOmTdFDRMX49gC7uFZ9q0MxqA/cDhwMLgY/MbKy7T0vY7Bxghbt3MrNTgNuAkwljI3q4+wYz2xb4zMz+6e4bKnp+IXTzBCV+mahXL3jnndAn5EaV0RRJR+5+k5ldCLxrZo2i1T8Cd7j7vTGGJiIVtWgR3HFHmLhl7Vro149hfjXXPle9SfE0lk/SUUW7ek4BtqnksXsCs9x9jrv/DIzil+MCjwcej54/D/QyM3P3NQlJXgNCQVyprMmToWnTUBxcMsvWW8Ouu4arxk8/xR2NiJTC3e9z93ZAB6CDu7dX0ieSAQoKQna2ww5w773Qrx/H7DANe/aZaiV9gwaFGTuV9Ek6qmji1wqYZmbjzWxs0VLOPtsDCxJeL4zWlbhNlOitBFoCmNneZjYV+AI4v6TWPjMbaGaTzGzS0qVLK/hRcsinn4YyDrUqM5RT0kbv3rBsWRgYICJpzd1XufuquOMQkXLMnAlnnQWdO8PIkXx1wFnsXGsm9sTjvDJ75yodsk6dcKlWwifprqJdPW9IZRAlcfeJQFcz+xXwuJn9y93XFttmBDACoEePHmoVTFRYGIq3n3lm3JFIVXXuDN27w113wTnnKIEXERGpqi++gJtvhmefhXr1+PKwwRz5+hXMf6NNlQ/ZoAH8/e8avyeZo0KJn7u/HQ1e7+zur0djGWqXs9sioG3C6zbRupK2WWhmdYBmwPJi555uZquBXYBJFYk3p4wYUfL6JUtg9WpYubL0bSS9mcFll8GAATB+PBx1VNwRiYiIZJZJk2DYMHjppTB52uWXc9BLl/Huq1tX+ZDbbReGBopkmorO6nkeYQzew9Gq7YGXytntI6CzmXUws3rAKUDx7qFjgTOi532BN9zdo33qROduTyglUVCRWCWyIOpl27Zt2dtJeuvXD7bfHoYPjzsSESmFmTUys+vM7G/R685mdkzccYnktPfeCzdM99oL3noLrr8e5s2j0b238e7Mqid9Xboo6ZPMVdG+YxcA+wM/ALj7V8BWZe0Qjcm7EBgPTAeedfepZjbUzI6LNhsJtDSzWcBlQFHJhwMIM3lOBl4EBrv7sgp/KgmJX61a4baUZK569eCii+D11+Hzz+OORkRK9iiwDtg3er0IuCm+cERylDtMmACHHgoHHBBa+26+meN3K8CG3oi1bFGt+dIGDQqVskQyVUXH+K1z95/NQtHKqDWu3DF17j4OGFds3fUJz9cC/UrY70lUA6l6Fi6EbbcNhcAlsw0cCEOHhrF+jz4adzQi8ksd3f1kM+sP4O5rrOiCKSKp5w7jxsFNN8EHH4TfP8OHw8CBbNmmMd9/X/VDaxyfZJOKtvi9bWZXAw3N7HDgOeCfqQtLqm3BAnXzzBZbbglnnw35+fDNN3FHIyK/9LOZNSS6IWpmHQktgCKSSoWFMHo07LknHHNMuEY+8ADMmUP+VpdiTaqe9PXqFfLJn35S0ifZo6KJ31XAUkJphd8TWvGuTVVQUk2rVsH330Obqs9UJWnm4othwwbNEy2Snv4P+DfQ1szygQnAn+INSSSLbdgQboZ26wZ9+4bfPY88Al99Re/Rg7CGDRgwoGqHLqrD9/rryQ1ZJB1UdFbPQjN7CXjJ3VUwL91pYpfs06kTHHccPPggDBkCjRrFHZGIRNz9NTP7BNgHMOBijUsXSYGff4Ynn4RbboHZs6FrV3j6afjtb6F2bbbfHr7+umqHHjRI91Yl+5XZ4mfBDWa2DJgBzDCzpWZ2fVn7ScyKEj+1+GWXyy6D5cvDRU9EYmdm3YsWoD3wDfA10C5aJyLJ8NNPcP/94SbouedCs2bwwgth0rP+/aF2bbp2rVrS17ChCq9L7iivxe9Swmyee7n7XAAz2wF40Mwudfe7Uh2gVMHChWFcWJMmcUciyXTggWEcw113wXnnqaC7SPzuLOM9Bw6rqUBEstLq1fDww3DHHbB4Mey3X3jdp0+odUvo8VnVbp29eqlLp+SW8hK/04HDE7usuPscMxsAvAoo8UtHmtglOxUVdD/tNPjXv+DXv447IpGc5u6Hxh2DSFZauRLuuy/c6Fy+HA47LHTpPOSQ/yV8vXuHyg2V1bAhrFmT3HBFMkV5TQZ1SxqnEI3zU52AdLRuXbgr1q5d3JFIKqigu0jaMbMGZnaZmb1gZqPN7BIzaxB3XCIZZ9kyuO46aN8err0W9t47FGKPavN13cUwC7lfVZK+5s2V9EluKy/x+7mK70lcFi4MndWV+GWnunXhD3+AN96AyZPjjkZEgieArsC9wH3R82oPxjWzR8xsiZlNSVjXwsxeM7Ovosctq3sekdgtXgxXXAF5eaEWX69e8PHH8MorsN9+5OeHZG/atKqfYtAgWLEiaRGLZKTyEr/dzOyHEpZVQLeaCFAqaf788KiuntnrvPOgcePQBUZE0sEu7n6Ou78ZLecRkr/qegzoU2zdVcAEd+9MKBtxVRLOIxKPBQvgootCwjd8OBx/PEyZAqNHkz+9O/Xrh4SvqmP4AJ56SpO3iBQpM/Fz99ruvkUJS1N3V1fPdLRgQUgKttRN4KxVVND9H/9QQXeR9PCJme1T9MLM9gYmVfeg7v4O8F2x1ccDj0fPHwdOqO55RGrc7NnhJmbHjvDQQ3DaafzfyV9iT+dju3T9X7L3czX7lg0apOLrIok0LWC2mT8/dPOMBj9Llioq6H7//XFHIiKwJ/C+mRWYWQHwX2AvM/vCzD5P8rm2dveiOz6Lga1L29DMBprZJDObtHSpSvBKGpg+HU4/HXbcMZQmOu88XrpjFvbISIb+o3PSTmMWWvrUyieyuQoVcJcMsWFDKGLTq1fckUiqdewYusQ8+CBcfbUKuovEq3h3zBrh7m5mXsb7I4ARAD169Ch1O5GUmzwZhg2D0aPDtJqXXMILHf7Iby/Zjo0bk3sqFWIXKZ1a/LLJ11/Dxo2a2CVXXHYZfPcdPPFE3JGI5DR3nwf8ADQDWhYt7j4vei+ZvjWzbQGixyVJPr5I8kycCMceC3vsAa++CkOG8PwdBdS/705+c1Hykr5evcI4Po3lEymbWvyyyYIF4VGJX2444ADo0SNM8jJwoAq6i8TEzP4MnAnMJhRuh9QVcB8LnAHcGj2OScE5RKrOHd55J8zO+frr0KIFDB3Ks1tfxKmDmyct2dtuO1i0KDnHEskV+qWYTebPh/r1oXXruCORmlBU0H3mTHjxxbijEcllvwU6uvsh7n5otFQ76TOzfxDGC+5kZgvN7BxCwne4mX0F9I5ei8TPHcaPh4MOCoXWP/8cbr8dCgoY/M11nPz75CV9gwYp6ROpCiV+2WTBglDGQS0/uaNfvzBIfuhQKCyMOxqRXDUFaJ7sg7p7f3ff1t3runsbdx/p7svdvZe7d3b33u5efNZPkZpVWAhjxkDPntCnDxQUwF//CgUF9B5/BbZFUx58sPqnGTRI3TlFqksZQrYoLAzF29XNM7fUqQPXXhvurI5Rjy+RmNwCfGpm481sbNESd1AiKbVxIzzzDOy+O5xwAixfDiNG8IejZ2F/uAhr1JAJE6p26KJZOYsSPSV7IsmhMX7ZYskSWLdOhdtzUf/+8Oc/h1a/E05QKQ+Rmvc4cBvwBaCmd8lu69fD00/DzTfDzJms3G5n/ljvCR6b25+NA6v/s1KzcoqkjhK/bDF/fnhU4pd7ilr9zjgjtPqdcELcEYnkmjXu/te4gxBJqXXr4LHH4NZboaCAhS135VKe5YWvT6KQ2tU+vBI+kdRTV89sMX9+SAC22y7uSCQOp54KnTqFVj9XuS6RGvaumd1iZvuaWfeiJe6gRJJizRq4555QP/b88/lw3lYcy1jaLp/M8/SrdtJXNHZPSZ9I6qnFL1ssWBCSvtrVv+smGaio1e/MM+Gf/4Tjjos7IpFcskf0uE/CulSVcxCpGatWhWzszjth6VLe5iD+zGNM8F5A9YcUdOkCU6dWP0wRqTi1+GUD99Dip4ldcttpp4VWv2uuIWlzZotIuRJKOByazHIOInF4bsQKhtW7ke+2aA9XXcW/l3bnQN7hEN5mAr1JRtI3aJCSPpE4qMUvG3z3XeiKocQvt9WpE8Ze9O0LjzwC550Xd0QiOcPMfg10BRoUrXP3ofFFJFIx+fnw+99Dox+XcCl3cQH3049VjOE4buJaJrFXUs7Tq1eo5y4i8VGLXzaYNy88KvGTk06CAw4I3T5XrYo7GpGcYGYPAScDFxGaQ/oB7WMNSqQcgweHSaD/NGARf/7xUgrI40puYxxHsyufcQJjqp309eq1qRyDkj6R+CnxywZz54axfW3axB2JxM0Mhg8P5T1uvTXuaERyxX7u/jtghbvfCOwL7BhzTCKbKUr0ipZxDxbwAIOYww5cxL08Rz+6MI3+jOILdq3yeRILrSvZE0kvKU38zKyPmc0ws1lmdlUJ79c3s2ei9yeaWV60/nAz+9jMvogeNVaiLAUFoYxD3bpxRyLpYK+9wiyfw4dvKvMhIqn0U/S4xsy2A9YD28YYjwgQunE2aRISvQcfDOs6M5NHOIuv6Mw5jORRzmJHZnImjzODnat0nsSWPc3OKZK+Upb4mVlt4H7gKKAL0N/MuhTb7BzCHdJOwF2EArgAy4Bj3b0bcAbwZKrizHiFhaGrZ15e3JFIOrnllvB49dXxxiGSG142s+bAX4BPgALg6TgDktyV2LI3YAD8+GNYvwtf8DT9mc6vOIVRPMBgdmAOg3iIuexQ6fM0aABPPaWWPZFMksrJXXoCs9x9DoCZjQKOB6YlbHM8cEP0/HngPjMzd/80YZupQEMzq+/u61IYb2ZavDgUVe3QIe5IJBVGjKj6voceGm73DhoE+++fvJhEZDPu/ufo6Wgzexlo4O4r44xJcsPgwfDQQ2WXb92TSVzDME7kJVbRhDu4nOFcxhK2rtI5NUmLSOZKZVfP7YEFCa8XRutK3MbdNwArgZbFtvkN8ElJSZ+ZDTSzSWY2aenSpUkLPKPMnRse1eInxfXpAy1ahOnafv457mhEso6Z7WVm2yS8/h3wLPBnM2sRX2SSrYqP03vwwdKTvv14j3EcxST24hDe4kaupz3zuIrbKpz0JbbqadyeSOZL68ldzKwrofvn70t6391HuHsPd+/RunXrmg0uXRQUQMOGsNVWcUci6aZBA+jfPxRLuuOOuKMRyUYPAz8DmNlBwK3AE4SbmNVorhfZfHxeYqJXNucwJvAGh/IeB9CDSQzhZvIo4AZuZAVl348w23xylp9+CiViRSQ7pDLxWwS0TXjdJlpX4jZmVgdoBiyPXrcBXgR+5+6zUxhnZps7N7T21UrrHF7isuuuoa7f0KEwbVr524tIZdR29++i5ycDI9x9tLtfB3SKMS7JAPn50KrV5old4pI4Pq98ztG8wvvsxwR6sxMzuJTh5FHArQzhB5qVumdisldYqMlZRLJZKrOFj4DOZtbBzOoBpwBji20zljB5C0Bf4A1392iQ/CvAVe7+XgpjzGw//QSLFqmbp5TtvvugaVM44wzYsCHuaESySe3opiVAL+CNhPdSOYZeMtTgweE+bVFit3x59Y5nFHISo/mE7rzCMWzLNwziAXZgDndzKWtoXOJ+ia16SvZEckfKEr9ozN6FwHhgOvCsu081s6Fmdly02UigpZnNAi4Diko+XEi4W3q9mU2OFvVlLO7TT8NfbCV+Upattw79gyZNgptvjjsakWzyD+BtMxtDKOnwLoCZdSJ095QcVlKLXllj8iqjNhs4lXy+oBuj6UsTVnMWj9CZr3iIQayjwS/2adJk03g9JXoiuSmldyTdfRwwrti66xOerwX6lbDfTcBNqYwtK3z4YXjUjJ5Snr59w+3lG28Ms30eeGDcEYlkPHcfZmYTCDX7XnX/30/6WsBF8UUmccjPh4svrn4rXlnq8jOn8yRDuIVOzGYKXenP0zzLbymk9mbbmsH55yvJE5FN1BUlk334IWy5JTQrve++yP888AB88EGY8GXy5HArWkSqxd0/KGHdzDhikdSqicSuNA34ibN5hCu5jXYs4GO6cyIvMIbjcWpRqxYM+r2SPBEpm2YEyWQffqhunlJxTZvCqFGwdCn066cSDyIiJcjPD5dWs03j8ZI1Jq+yGrOay7iTOezA/VzIAtpyFOM4pPEk+j51IoVeC3fYuFFJn4iUT4lfplq+HGbPVuInlbPnnjByJLz1Flx0UXIGm4iIpKnEJK5OnYo9DhgA8+aF/eP6E7kFK7maYRSQx51czsrtu8Abb7B/4X/4lx/FqtWmMgsiUmlK/DLVRx+FR43vk8oaMACuugpGjIB77407GhGR/yVotWqFx/z8zde1ahWWovcHD/7le4nJW6tWYTKTxCRu48aKPda0li0TiqQvXYZfex0rm7VnGNfS6ui94b332HnhhDA+2yyeIEUkK2iMX6b68MNwAWjXLu5IJBMNGwbTp8Oll8JOO8GRR8YdkYjkqPx8GDgQ1qwJr+fNg7POCpe4oh7piV0s583bvJB54ntFyVsc4/Aqo2VLuOeehOLoixfDFXeGD/bjj3DSSXDNNdC9e6xxikh2UYtfppo4EX71K2jYMO5IJBPVqhVuMe+yS5jx87//jTsiEckRxVv3Lr54U9JXZP367BmGvFmLXrQsWxYlfQsWhG73eXkwfDgcfzxMmQKjRyvpE5GkU+KXiQoL4f33Yb/94o5EMlmTJvCvf8E220CfPqHOn4hIChW17s2bFxKgefPSv3Wusoonev9L8hLNng3nnQcdO8JDD4UNvvwyfEFdu8YSt4hkP3X1zETTpsH338MBB8C6dXFHI+luxIiy3z/nHLjjDjj4YLjsMmjb9pfbDByYmthEJCvl54eeivPnhxEJw4aF3Oaaa37ZupdJftFFs7KmT4ebb4ann4a6dUPy96c/Qfv2SY1TRKQkavHLRO+9Fx733z/eOCQ7tGgREr769eHuu0PXIxHJeiVNqJKMfUtq1Rs4MKyfP79ix69bF+rVq3g8FVEr+sVTu3bFHtu3L6OLZmVNnhzK6HTtCi+8AJdcAnPmwP33K+kTkRqjxC8T/ec/sPXWoYuISDK0ahWSv7p1Q+vfTNWfFslmZSVn1d23pFa9NWvC+tLmI2vZMuQ/ZuHx0UfhkUc2rWvZMixF7w8a9Mv3YFPSVnz7p54KE7+4w4YNFXssKKhGy16RiRPh2GNhjz3g1VdhyJBw4DvvhO22q+bBRUQqxzxL6nj16NHDJ+XKGKUddggXkdGjy+/GJ1IZ330X+jEtWxa6IO2+e1ivrp6SZszsY3fvEXccmaL4NTIvb1OZg0Tt24e8pCzl7VurVsn178zgySc3n8EToFGjcCnLmrp07vDOO3DTTfD666FXxaWXwoUXQvPmcUcnIlmurOujWvwyzddfw9y5YXyfSLK1aAFXXBHG+T30UPjxIiJZp7QulxXpilnevqW16rVrF5K7ESM2b93LmqTPHcaPh4MOgkMOgS++gL/8JWTJ116rpE9EYqfEL9NofJ+kWpMm4e50166h79azz4a+TyKSNcpKzqq777BhoRUvUaNGYT2EJK+gIExQnZTulHErLIQxY6BnzzBDckEB3HtvuEl7+eXhb6qISBpQ4pdp3n4bGjcOXT1FUqV+fRg8GA47DCZMgGOOCTPJikhWKC85q86+Wd2ql2jjRnjmmdAl/oQTQlf5v/0tlGq48ELV2RWRtKPEL9O89Vbo5lm3btyRSLarXRtOPhkGDAjJ3z77wFdfxR2ViCRBdZKziuybda16idavh8cfhy5d4JRTwusnn4QZM+Dcc5M/HamISJIo8cskS5bA1Klw6KFxRyK55MADwwQFy5aFrkyvvx53RCKSBNVJzrI6sSvNunXw8MOw445w5pmhRe+552DKlHCDrI5KI4tIelPil0nefjs8HnJIrGFIDjr4YPjoI2jTBo48Em67reRp+0SkRphZHzObYWazzOyquOPJamvWhNmOO3aE88+HrbaCsWPh00+hb99NNSRERNKcEr9M8uabYZD4nnvGHYnkog4d4P33ww+dq66Ck06ClSvjjkok55hZbeB+4CigC9DfzLrEG1UWWrUq3OTKywsF1zt2hNdegw8+CLX5zOKOUESkUpT4ZZK33grd7tSdROLStCmMGgV33QUvvww9esDnn8cdlUiu6QnMcvc57v4zMAo4PuaYsseKFXDjjWHw4lVXQffuobTN229D795K+EQkYynxyxSLF8P06ermKfEzC3e/33wTfvwxTPryxBNxRyWSS7YHFiS8Xhit24yZDTSzSWY2aenSpTUWXMZasgSGDAkJ3w03hButH34I//53eC4ikuGU+GWKogk1evWKNw6RIgccEMa47L03nHFGmOxg1aq4oxKRiLuPcPce7t6jdevWcYeTvhYtCrVL8/JC186jj4bPPgu1+fbaK+7oRESSRn0GM8X48dC6ter3STxGjCj9vd/+Now9feIJGDcOzjknjAcsycCBqYlPJLcsAtomvG4TrZPKKCgIid4jj4SafKedFlr8dt457shERFJCLX6ZoLAwDCg//HCopf9kkmZq1w4THVx+efjxdPvtoWtUYWHckYlkq4+AzmbWwczqAacAY2OOKXPMnAlnnQWdOsHIkeH5zJmhNp+SPhHJYsoiMsHnn8O338IRR8QdiUjpOnWC664LrdIvvhgmgPnuu7ijEsk67r4BuBAYD0wHnnX3qfFGlQG++AL694df/SpMUnXBBTBnDjz0EOywQ9zRiYiknLp6ZoJXXw2PSvwk3TVqBOedB127wjPPhAkSTjoJDjpIrdUiSeTu44BxcceRESZNgmHD4KWXQrf0yy+Hyy6DrbeOOzIRkRqV0l9i5RWYNbP6ZvZM9P5EM8uL1rc0szfNbLWZ3ZfKGDPC+PGw666w7bZxRyJSPjPYf3+4/vpwF/0f/4A77wwz04qI1JT33oOjjgoTtLz1VvibNG9eGNenpE9EclDKEr8KFpg9B1jh7p2Au4DbovVrgeuAy1MVX8ZYuRLefReOPDLuSEQqp1UruPjiMNvn11/D0KFwxRUq+i4iqeMOEybAoYeGmYcnTYKbbw4Tudx4I7RoEXeEIiKxSWWLX0UKzB4PPB49fx7oZWbm7j+6+38ICWBuGz8e1q+H41WbVzKQGey7b+jyuc8+oeVvxx3hb3+DDRvijk5EsoU7vPIK7LdfKLI+YwYMHx4SviFDoFmzuCMUEYldKhO/ihSY/d820WD1lUDLFMaUecaMCS0n++wTdyQiVdesGfzud/DRR9C5cyjr0KVLKAGhBFBEqqqwEEaPhu7d4Zhj4Jtv4IEHwqQtl14KjRvHHaGISNrI6NkWzGygmU0ys0lLly6NO5zkW78+1EU75pgwZb5Ipttzz9B1+YUXwkQwZ5wRZtgbORJ++inu6EQkU2zYAPn50K0b9O0Lq1eHenxffQWDBkGDBnFHKCKSdlKZ+FWkwOz/tjGzOkAzYHlFT+DuI9y9h7v3aN26dTXDTUPvvgvffw/HHRd3JCLJYwYnngiffBLKPjRtCueeC23bwlVXhckXRERK8vPP4UbRzjvDgAHh78nTT8OXX4Z6fHXrxh2hiEjaSmXiV5ECs2OBM6LnfYE33N1TGFNmGTMG6tdXGQfJTrVqwQknwMcfw5tvwsEHw1/+EmYCPeKI0A101aq4oxSRdPDTT3D//aFe6Lnnhu7jL7wQ6tz2769eMSIiFZCyOn7uvsHMigrM1gYecfepZjYUmOTuY4GRwJNmNgv4jpAcAmBmBcAWQD0zOwE4wt2npSretLNxIzz3XJjNU2MUJFuMGFH6e0ceGaZd/89/YOJEeO218ANvjz1g771Dl9Bk/bgbODA5xxGR1Fq9Gh5+GO64I5SE2W+/8LpPn9DaJyIiFZbSAu4lFZh19+sTnq8F+pWyb14qY0t7//lPGKTev3/ckYjUnBYtQtfmY4+F2bNDAjhpEnz4YegS2r079OwZWgVVEF4ke61cCffdB3fdBcuXw2GHhS6dhxyihE9EpIpSmvhJNYwaFSa/OPbYuCMRqXlmoUtXp05w8skwZUpI/t5/H95+OySIPXqEJLBNG/0QFMkWy5bBPffAvfeG5O/oo+Gaa0JLn4iIVIsSv3S0fj08/3xo+VA3T8l1derA7ruHZe1amDw5lIV4/XV49VXYdttQK3C//UKroIhknsWLQ53PBx+EH3+Ek04KCV/37nFHJiKSNZT4paMJE8Jdz1NOKX9bkVzSoEGoabnPPmHsz8cfh5bAF16AsWPDj8SDDw4thSKS/hYsgNtvh7/9Ldz0POUUuPpq6No17shERLKOEr909Mgj0LJlGLwuIiVr0iQkeQcfDF9/De+8Ax98EBLBjh3Dv59u3dQNVCQdzZ4Nt94Kjz8O7qGm51VX6aaNiEgKKfFLN0uXwksvwYUXhlIOIlK+7bYLLQUnnhjGAb76apj6ffvtwzjZ3XdXAiiSDqZPh5tvDhO11K0bZti94gpo3z7uyEREsp4Sv3Tz5JOhu8s558QdiUjmqV8fDj0UDjoojAP817/goYegQ4cwZmjHHeOOUCQ3TZ4Mw4bB6NHQsCFcein88Y9hjK6IiNQIJX7pxB3+/vcwUYXGN4hUXe3aYRzgXnuF7p9jx4aJI7p1g9/+Nu7oRHLHxIlw003w8suwxRZh/N4ll0CrVnFHJiKSc5T4pZM33wzdYEaOjDsSkexQuzbsv39IAN94I7QA3nhjmB10yBDNmiuSCu5hzO1NN4XZd1u0gD//OQxhaN487uhERHKWKiCnkzvvhK22glNPjTsSkexSr16Y7GXoUNhzz9Dl7Fe/Ct3O3OOOTiQ7uMP48aGr9SGHwBdfwF/+AvPmwbXXKukTEYmZEr90MW0ajBsHF1wQpqwXkeRr1gzOPju0Rmy5JfTtC0ccAV9+GXdkIpmrsBDGjIGePcMNloKCUIB97ly4/PIwA6+IiMROiV+6GD48JHyDBsUdiUj2O/DAUAPw3nth0qQw9u9Pf4JVq+KOTCRzbNwIzzwTZs094QT47rtQj2/27NCts2HDuCMUEZEESvzSwdy58MQTcNZZ0Lp13NGI5IY6dcKP0xkz4He/C13Sdt4ZRo1S90+RsqxfH+rvdekSyqisXx9mpJ4xA849N3StFhGRtKPELx3ccEOYhOKaa+KORCT3bLVVmFDpv/+FbbaB/v2hV68w/byIbLJuHTz8cCiLcuaZoUXvuedgyhQYMCDcTBERkbSlxC9uU6eGO6UXXhiKTYtIPPbZBz78EB58ED77DLp3h9NPD+OVRHLZmjVwzz2www5w/vnhZsnYsfDpp2GcbO3acUcoIiIVoMQvTu5wxRVh4PuVV8YdjYjUrh1+2M6eHcb8Pf887LQTXHwxLFgQd3QiNeuHH+C22yAvL9Te69QJXnst1MY89lgwiztCERGpBCV+cXr++VBXbOhQFbMVSSfNm8Ott8JXX4UubA88EFo7zjwzzMArks1WrAj1LvPy4KqrQuv3O+/A229D795K+EREMpQSv7j88ENoRdhjj9DNU0TST5s2YfzfrFkweDA8+yx07QqHHQb5+fDTT3FHKJI8S5bAkCHQvn0Ye37ggaH787//HZ6LiEhGU+IXB/fwI/Lbb+GhhzQgXiTdtW8fxjjNnw833RTG/Q0YANttB7//ffhh/PPPcUcpUjWLFsGll4YWvttug6OPDuNcx4yBvfaKOzoREUkSZRxxePzx0Fpw442h4K2IZIZWrcLsu0OGhMLU770X/j2PGBHqcHbrFkpC7LRT2La8LnEDB9ZM3CKlueWW0Lq3cSOcdlr4f3vnneOOSkREUkCJX0376CO44AI49FCVbxDJVLVqhR/HO+8caphNnx7KP3z+efg3DrDllmHa+x13DOMDt9km7CeSTvLywtjVK68M/5+KiEjWUuJXk2bNgl//OkyF/fTTmgJbJC4jRiTvWHXrwq67hsUdFi+GmTNDMetp02DixLBd/frQtm3oNpqXFx4LC5UMSrz69w+LiIhkPSV+NWXGDDjiiPBDb/z4cPdfRLKLGWy7bVgOPnhTIlhQAPPmheWdd2DChLD9nXfCnntCjx5hoqfdd4fOnXVTSERERJJOiV9NSKx59OqroeuXiGS/xERw333Duo0b4ZtvQhLYuDFMmgR3371pcphGjWC33UISWJQMdusWxhCKiIiIVJESv1QqLIThw8Ng+bZtQ0tf585xRyUicapdO5SJaNMmvN59d9iwISSDCxeGmUMXLoTHHoMHHwzb1KoVegm0bbv50rhxeF+TxIiIiEg5lPilysSJcNFFYaKHk06Cv/89TPYgIlJcnTqbkrmilkF3WLYMFizYtMyYsWnMIECLFmGfr78OrYPduoXxgxo3KCIiIsUo8UumDRvgtdfgrrvC47bbwpNPhimyy5vWXUQkkRm0bh2W7t03rV+1avNkcMECGDo0JIoADRuG2Ua7dNl82WEH1QzNIGbWD7gB+BXQ090nJbw3BDgH2Aj8wd3HxxKkiIhklJT+CjCzPsA9QG3g7+5+a7H36wNPAHsCy4GT3b0gei8zLmxffw3vvx/G7o0dG4qyb711qI10wQXQtGncEYpINmnadFMyV+S00+CLL8IsolOnhsd33w31QovUqxe6mu+wQ2gVLJpZtOh5ixa6QZVepgAnAQ8nrjSzLsApQFdgO+B1M9vR3TfWfIgiIpJJUpb4mVlt4H7gcGAh8JGZjXX3aQmbnQOscPdOZnYKcBtwciwXNvdQj+unn2Dt2rD89FNYVq6E5cvDsngxzJ4dllmzQqIHsMUWcPjh4QfY0UeHqdtFRGpC48awzz5hSbRqFXz5ZUgEp00LzwsK4K23wnvFj7HVVpsvrVtDs2bQpElIOBMfmzQJyWTduqUvdeoomawid58OYL/8/o4HRrn7OmCumc0CegL/rdkIRUQk06Syxa8nMMvd5wCY2SjCBSsx8Tue0JUF4HngPgtXuZq/sM2eXfGJV7bfHjp2DAnebrvB3nuHKdnr1k1ZeCIilda0Key1V1gSucP334eZRQsKwjJ/PixZEpYFC+Djj8PzDRuqH0etWiEBLHp84w3Yf//qHzc3bQ98kPB6YbTuF8xsIDAQoF27dqmPTERE0loqE7/tgQUJrxcCe5e2jbtvMLOVQEsqeGFLvKgBq81sRnJCL8eiRWF5551kH7kVsCzZB80S+m7Kpu+ndNn/3fz+91Xds2a+m8LC8Lgx6rRxwAHJOGr7ZBwkTmb2OlBSUddr3H1MdY/v7iOAEdG5lprZvOoeM0Nl/9+AsuXy58/lzw65/flz+bOXen3M6JH+iRe1bGBmk9y9R9xxpCN9N2XT91M6fTel03cTL3fvXYXdFgFtE163idaVd67WVThXVsj1/89z+fPn8meH3P78ufzZy5LKOb8rcnH63zZmVgdoRpjkpUoXNhERkSw3FjjFzOqbWQegM/BhzDGJiEgGSGXi9xHQ2cw6mFk9wmQtY4ttMxY4I3reF3jD3R1d2EREJIeZ2YlmthDYF3jFzMYDuPtU4FnCePl/AxdoRk8REamIlHX1jMbsXQiMJ5RzeMTdp5rZUGCSu48FRgJPRpO3fEdIDom2K7qwbSB3LmxZ0201BfTdlE3fT+n03ZRO302acvcXgRdLeW8YMKxmI8pouf7/eS5//lz+7JDbnz+XP3upzIuK/oqIiIiIiEhWSmVXTxEREREREUkDSvxERERERESynBK/NGFmfcxshpnNMrOr4o4nTmb2iJktMbMpCetamNlrZvZV9LhlnDHGxczamtmbZjbNzKaa2cXR+pz/fsysgZl9aGafRd/NjdH6DmY2Mfq39Uw02VROMrPaZvapmb0cvdZ3IznBzP5iZl+a2edm9qKZNY87pppiZv2iv4mFZpYz09vn6u+qkn5D5ZLSfidJoMQvDZhZbeB+4CigC9DfzLrEG1WsHgP6FFt3FTDB3TsDE6LXuWgD8Ed37wLsA1wQ/b+i7wfWAYe5+27A7kAfM9sHuA24y907ASuAc+ILMXYXA9MTXuu7kVzxGrCLu+8KzASGxBxPTZoCnAS8E3cgNSXHf1c9xi9/Q+WS0n4nCUr80kVPYJa7z3H3n4FRwPExxxQbd3+HMMtrouOBx6PnjwMn1GRM6cLdv3H3T6Lnqwg/4rdH3w8erI5e1o0WBw4Dno/W5+R3A2BmbYBfA3+PXhv6biRHuPur7r4hevkBoT5wTnD36e4+I+44aljO/q4q5TdUzijjd5KgxC9dbA8sSHi9EP1PWtzW7v5N9HwxsHWcwaQDM8sD9gAmou8H+F9XxsnAEsId/tnA9wk/+HL539bdwJ+Awuh1S/TdSG46G/hX3EFISul3lRT/nSSksI6fSKq4u5tZTtchMbMmwGjgEnf/ITTeBLn8/UT1PnePxu+8COwcb0TpwcyOAZa4+8dmdkjM4YikhJm9DmxTwlvXuPuYaJtrCF3B8msytlSryGcXySXFfyfFHU+6UOKXHhYBbRNet4nWySbfmtm27v6NmW1LaNHJSWZWl/DHLN/dX4hW6/tJ4O7fm9mbwL5AczOrE7Vs5eq/rf2B48zsaKABsAVwD/puJIu4e++y3jezM4FjgF6eZUWMy/vsOUi/q3JYKb+TBHX1TBcfAZ2jGfbqAacAY2OOKd2MBc6Inp8B5OQdzGhc1khgursPT3gr578fM2tdNFOfmTUEDif07X8T6BttlpPfjbsPcfc27p5H+Pvyhrufhr4byRFm1ofQ1fk4d18TdzyScvpdlaPK+J0kgGXZTa+MFd2JvxuoDTzi7sPijSg+ZvYP4BCgFfAt8H/AS8CzQDtgHvBbd8+5wctmdgDwLvAFm8ZqXU3ov57T34+Z7UqYoKQ24abWs+4+1Mx2IAzsbwF8Cgxw93XxRRqvqKvn5e5+jL4byRVmNguoDyyPVn3g7ufHGFKNMbMTgXuB1sD3wGR3PzLWoGpArv6uKuk3lLuPjDWoGlTa7yR3HxdfVOlDiZ+IiIiIiEiWU1dPERERERGRLKfET0REREREJMsp8RMREREREclySvxERERERESynBI/ERERERGRLKfETyRNmNnqEtbtZGZvmdlkM5tuZiPM7Mjo9WQzW21mM6LnT0T7nGBmbmY7R68nRu/PN7OlCfvm1fBHFBGRNGVmLROuD4vNbFH0/Hszm1bDsZxgZl0SXg81s0oXqTezPDObUsp7Xc3sjegaOtvMbjSzpP8uLuuzRNf3Hsk+p0hpVM5BJE2Y2Wp3b1Js3XjgAXcfE73u5u5fJLz/FqEm26SEdc8A2xGKdP9fwvozgR7ufmFKP4iIiGQ0M7sBWO3ud0Q3CV92912SfI467r6hlPcei875fDXPkUcJsZtZQ2AKMMjdXzWzRsBo4FV3v6s65ywhhsco5bOUdA0XSSW1+Imkt22BhUUvEpO+kphZE+AA4BzglNSGJiIiOaK2mf3NzKaa2atR4oSZdTSzf5vZx2b2bkJPk7yoNe1zM5tgZu2i9Y+Z2UNmNhG4vaT9zWw/4DjgL1GLY8dov77RMfYys/fN7DMz+9DMmkbne9fMPomW/cr5PKcC77n7qwDuvga4ELgiOscNZnZ50cZmNqWol4yZvRTFO9XMBiZss9rMhkVxfWBmW5f3WRKZ2RFm9t8o/uei6zlmdquZTYu+yzsq/59OZBMlfiLp7S7gDTP7l5ldambNy9n+eODf7j4TWG5me6Y8QhERyXadgfvdvSvwPfCbaP0I4CJ33xO4HHggWn8v8Li77wrkA39NOFYbYD93v6yk/d39fWAscIW77+7us4t2NLN6wDPAxe6+G9Ab+AlYAhzu7t2Bk4udryRdgY8TV0TnaViB6+zZUbw9gD+YWctofWPggyiud4DzyvosicysFXAt0Dv6DJOAy6Jjnwh0jb7Lm8qJTaRMdeIOQERK5+6PRt09+xCSut+b2W7uvq6UXfoD90TPR0WvPy5lWxERkYqY6+6To+cfA3lRi9R+wHNmVrRd/ehxX+Ck6PmTwO0Jx3rO3TeWs39pdgK+cfePANz9BwAzawzcZ2a7AxuBHSv7ASvhD2Z2YvS8LSEpXg78DLwcrf8YOLwSx9wH6AK8F30X9YD/AiuBtcBIM3s54fgiVaLETyTNufvXwCPAI9Eg9V0oIZkzsxbAYUA3M3OgNuBmdoVrMK+IiFRd4s3GjUBDQq+x791990oe68fosar7l+RS4Ftgt+i4a8vZfhpwUOIKM9sBWO7u35vZBjbvFdcg2uYQQivjvu6+Jhqj1yDaZn3CtXYjlfuNbcBr7t7/F2+Y9QR6AX0J3VEPq8RxRTajrp4iaczM+phZ3ej5NkBLYFEpm/cFnnT39u6e5+5tgbnAgTUTrYiI5IqotW2umfUDsGC36O332TTO/DTg3UruvwpoWsJpZwDbmtle0T5NzawO0IzQElgInE648VmWfOAA2zS7ZkNC99CiCdEKgO7Re92BDtH6ZsCKKOnbmdBSV57SPkuiD4D9zaxTdM7GZrZj1CrazN3HEZLb3co6iEh5lPiJpI9GZrYwYbkMOAKYYmafAeMJ4wQWl7J/f+DFYutGR+tFRESS7TTgnOgaNZUwJAHgIuAsM/uckIhdXMn9RwFXmNmnZtaxaGN3/5kwhu/eaJ/XCC1uDwBnROt2ZlOrYonc/SfCpCvXmNlMYBlhspf8aJPRQAszm0poZZsZrf83UMfMpgO3EhK28pT4WYrFsxQ4E/hH9J39N/ocTYGXo3X/AS6rwPlESqVyDiIiIiKSs8zsBGA4cKi7z4s5HJGUUeInIiIiIiKS5dTVU0REREREJMsp8RMREREREclySvxERERERESynBI/ERERERGRLKfET0REREREJMsp8RMREREREcly/w9eY1UMj6Ll0wAAAABJRU5ErkJggg==\n", "text/plain": [ "<Figure size 1080x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, (ax1,ax2) = plt.subplots(ncols=2, figsize=(15,4))\n", "sns.distplot(df['LSTAT'], ax=ax1 , color ='red')\n", "ax1.set(title='LSTAT distribution')\n", "qqplot(df['LSTAT'], ax=ax2, line='s')\n", "ax2.set(title='LSTAT quantile plot')" ] }, { "cell_type": "markdown", "id": "1ecddca1", "metadata": { "papermill": { "duration": 0.059922, "end_time": "2021-08-07T18:37:19.009491", "exception": false, "start_time": "2021-08-07T18:37:18.949569", "status": "completed" }, "tags": [] }, "source": [ "* In similar manner we can check the normality and skewness of each variables." ] }, { "cell_type": "code", "execution_count": 15, "id": "342be31b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:19.143944Z", "iopub.status.busy": "2021-08-07T18:37:19.142938Z", "iopub.status.idle": "2021-08-07T18:37:19.146998Z", "shell.execute_reply": "2021-08-07T18:37:19.147465Z", "shell.execute_reply.started": "2021-08-07T18:36:31.188891Z" }, "papermill": { "duration": 0.076535, "end_time": "2021-08-07T18:37:19.147642", "exception": false, "start_time": "2021-08-07T18:37:19.071107", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "CRIM 5.223149\n", "CHAS 3.405904\n", "ZN 2.225666\n", "MEDV 1.108098\n", "DIS 1.011781\n", "RAD 1.004815\n", "LSTAT 0.906460\n", "NOX 0.729308\n", "TAX 0.669956\n", "RM 0.403612\n", "INDUS 0.295022\n", "AGE -0.598963\n", "PTRATIO -0.802325\n", "B -2.890374\n", "dtype: float64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "skew_val = df.skew().sort_values(ascending=False)\n", "skew_val" ] }, { "cell_type": "markdown", "id": "e2e11d75", "metadata": { "papermill": { "duration": 0.061073, "end_time": "2021-08-07T18:37:19.268952", "exception": false, "start_time": "2021-08-07T18:37:19.207879", "status": "completed" }, "tags": [] }, "source": [ "* Shortcut for checking Normality and Skewness using pandas skew function.\n", "* If the skewness value is between 0.5 and -0.5 then it is normal distribution else will be right of left depending upon data." ] }, { "cell_type": "code", "execution_count": 16, "id": "fc4b6916", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:19.434749Z", "iopub.status.busy": "2021-08-07T18:37:19.433907Z", "iopub.status.idle": "2021-08-07T18:37:21.454877Z", "shell.execute_reply": "2021-08-07T18:37:21.455391Z", "shell.execute_reply.started": "2021-08-07T18:36:31.199626Z" }, "papermill": { "duration": 2.126392, "end_time": "2021-08-07T18:37:21.455577", "exception": false, "start_time": "2021-08-07T18:37:19.329185", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1440x720 with 14 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Checking outliers using box plot\n", "\n", "fig, ax = plt.subplots(ncols = 7, nrows = 2, figsize = (20, 10))\n", "index = 0\n", "ax = ax.flatten()\n", "\n", "for col, value in df.items():\n", " sns.boxplot(y=col, data=df, ax=ax[index])\n", " index += 1\n", "plt.tight_layout(pad = 0.5, w_pad=0.7, h_pad=5.0)" ] }, { "cell_type": "markdown", "id": "1d4f8a01", "metadata": { "papermill": { "duration": 0.062076, "end_time": "2021-08-07T18:37:21.580170", "exception": false, "start_time": "2021-08-07T18:37:21.518094", "status": "completed" }, "tags": [] }, "source": [ "<!-- As we can see that is above box plot visualization that \"CRIM\", \"ZN\", \"B\", has so many outliers -->" ] }, { "cell_type": "code", "execution_count": 17, "id": "5590c143", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:21.728100Z", "iopub.status.busy": "2021-08-07T18:37:21.727419Z", "iopub.status.idle": "2021-08-07T18:37:21.824817Z", "shell.execute_reply": "2021-08-07T18:37:21.824186Z", "shell.execute_reply.started": "2021-08-07T18:36:33.010847Z" }, "papermill": { "duration": 0.182101, "end_time": "2021-08-07T18:37:21.824966", "exception": false, "start_time": "2021-08-07T18:37:21.642865", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Individual box plot for each feature\n", "def Box(df):\n", " plt.title(\"Box Plot\")\n", " sns.boxplot(df)\n", " plt.show()\n", "Box(df['CRIM'])" ] }, { "cell_type": "markdown", "id": "28ce9888", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:13:44.488391Z", "iopub.status.busy": "2021-08-07T18:13:44.487977Z", "iopub.status.idle": "2021-08-07T18:13:44.494586Z", "shell.execute_reply": "2021-08-07T18:13:44.493145Z", "shell.execute_reply.started": "2021-08-07T18:13:44.488358Z" }, "papermill": { "duration": 0.064508, "end_time": "2021-08-07T18:37:21.953351", "exception": false, "start_time": "2021-08-07T18:37:21.888843", "status": "completed" }, "tags": [] }, "source": [ "* Above data is clearly right skewed as outliers are present in right side." ] }, { "cell_type": "code", "execution_count": 18, "id": "bd586484", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:22.105834Z", "iopub.status.busy": "2021-08-07T18:37:22.105057Z", "iopub.status.idle": "2021-08-07T18:37:22.239670Z", "shell.execute_reply": "2021-08-07T18:37:22.238968Z", "shell.execute_reply.started": "2021-08-07T18:36:33.122288Z" }, "papermill": { "duration": 0.221108, "end_time": "2021-08-07T18:37:22.239850", "exception": false, "start_time": "2021-08-07T18:37:22.018742", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEICAYAAACktLTqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAQFklEQVR4nO3dfZBddX3H8fdHIj5RCQ9bBpPoosQ61BnFZmioHWtBpwho+AMtFGt00slMpRafxqLTB53WDnQcUMeWKRXbaB2FiY5QtA8M4FhboQaxKqBDitAkBrIiAVJ8inz7x/2lvVmS7Ca7m5v97fs1s3PP7+Ge87tnz3727O+eezZVhSSpL08a9QAkSbPPcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhri4kuSPJy0c9DulQYbhrXkhyb5JXTKp7Y5IvA1TVL1bVF6dYx3iSSrJoDocqHRIMd2mW+EtDhxLDXV0YPrNPckqSDUkeSfJAkstaty+1x+1JdiQ5NcmTkvxhkvuSbEvy8SRHDq33Da3twSR/NGk7702yPsnfJ3kEeGPb9leSbE+yNclHkhw+tL5K8uYkdyd5NMmfJnlekn9v471muL90oAx39ehDwIeq6pnA84BrWv3L2uPiqjqiqr4CvLF9/TrwXOAI4CMASU4C/gq4ADgeOBJYMmlbq4D1wGLgk8DPgLcBxwKnAqcDb570nN8AfglYCbwLuBJ4PbAMeCFw/oG/dGnAcNd88rl2Rrw9yXYGwbsnPwVOTHJsVe2oqlv2sc4LgMuq6p6q2gG8GzivTbGcC/xDVX25qn4C/DEw+WZMX6mqz1XV41X1w6q6rapuqaqdVXUv8NfAr016zl9U1SNVdQfwLeBf2vYfBv4ROHnae0TaC8Nd88k5VbV41xdPPCPeZQ3wfODbSb6a5Ox9rPNZwH1D5fuARcBxrW3Troaqegx4cNLzNw0Xkjw/yfVJ7m9TNX/O4Cx+2ANDyz/cQ/mIfYxXmhbDXd2pqrur6nzg54FLgfVJnsETz7oBvgc8Z6j8bGAng8DdCizd1ZDkacAxkzc3qXwF8G1geZsWeg+QA3810oEx3NWdJK9PMlZVjwPbW/XjwER7fO5Q908Bb0tyQpIjGJxpX11VOxnMpb86ya+0Nznfy9RB/XPAI8COJC8AfneWXpa0Xwx39egM4I4kOxi8uXpemw9/DHg/8G9t3n4l8DHgEwyupPku8CPgLQBtTvwtwKcZnMXvALYBP97Htt8J/BbwKPA3wNWz//KkqcV/1iFNTzuz385gyuW7Ix6OtE+euUv7kOTVSZ7e5uw/AHwTuHe0o5KmZrhL+7aKwZuu3wOWM5ji8c9dHfKclpGkDnnmLkkdOiRudHTsscfW+Pj4qIchSfPKbbfd9v2qGttT2yER7uPj42zYsGHUw5CkeSXJfXtrc1pGkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6dEh8QnUmxi/+/Mi2fe8lZ41s25K0L565S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOTTvckxyW5PYk17fyCUluTbIxydVJDm/1T2nlja19fI7GLknai/05c78IuGuofClweVWdCDwErGn1a4CHWv3lrZ8k6SCaVrgnWQqcBXy0lQOcBqxvXdYB57TlVa1Maz+99ZckHSTTPXP/IPAu4PFWPgbYXlU7W3kzsKQtLwE2AbT2h1v/3SRZm2RDkg0TExMHNnpJ0h5NGe5Jzga2VdVts7nhqrqyqlZU1YqxsbHZXLUkLXjT+R+qLwVek+RM4KnAM4EPAYuTLGpn50uBLa3/FmAZsDnJIuBI4MFZH7kkaa+mPHOvqndX1dKqGgfOA26qqguAm4FzW7fVwLVt+bpWprXfVFU1q6OWJO3TTK5z/wPg7Uk2MphTv6rVXwUc0+rfDlw8syFKkvbXdKZl/k9VfRH4Ylu+BzhlD31+BLx2FsYmSTpAfkJVkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHVoynBP8tQk/5HkP5PckeR9rf6EJLcm2Zjk6iSHt/qntPLG1j4+x69BkjTJdM7cfwycVlUvAl4MnJFkJXApcHlVnQg8BKxp/dcAD7X6y1s/SdJBNGW418COVnxy+yrgNGB9q18HnNOWV7Uyrf30JJmtAUuSpjatOfckhyX5OrANuAH4L2B7Ve1sXTYDS9ryEmATQGt/GDhmD+tcm2RDkg0TExMzehGSpN1NK9yr6mdV9WJgKXAK8IKZbriqrqyqFVW1YmxsbKarkyQN2a+rZapqO3AzcCqwOMmi1rQU2NKWtwDLAFr7kcCDszFYSdL0TOdqmbEki9vy04BXAncxCPlzW7fVwLVt+bpWprXfVFU1i2OWJE1h0dRdOB5Yl+QwBr8Mrqmq65PcCXw6yZ8BtwNXtf5XAZ9IshH4AXDeHIxbkrQPU4Z7VX0DOHkP9fcwmH+fXP8j4LWzMjpJ0gHxE6qS1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUNThnuSZUluTnJnkjuSXNTqj05yQ5K72+NRrT5JPpxkY5JvJHnJXL8ISdLupnPmvhN4R1WdBKwELkxyEnAxcGNVLQdubGWAVwHL29da4IpZH7UkaZ+mDPeq2lpVX2vLjwJ3AUuAVcC61m0dcE5bXgV8vAZuARYnOX62By5J2rv9mnNPMg6cDNwKHFdVW1vT/cBxbXkJsGnoaZtb3eR1rU2yIcmGiYmJ/R23JGkfph3uSY4APgO8taoeGW6rqgJqfzZcVVdW1YqqWjE2NrY/T5UkTWFa4Z7kyQyC/ZNV9dlW/cCu6Zb2uK3VbwGWDT19aauTJB0k07laJsBVwF1VddlQ03XA6ra8Grh2qP4N7aqZlcDDQ9M3kqSDYNE0+rwU+G3gm0m+3ureA1wCXJNkDXAf8LrW9gXgTGAj8BjwptkcsCRpalOGe1V9Gchemk/fQ/8CLpzhuCRJM+AnVCWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtSh6YM9yQfS7ItybeG6o5OckOSu9vjUa0+ST6cZGOSbyR5yVwOXpK0Z9M5c/874IxJdRcDN1bVcuDGVgZ4FbC8fa0FrpidYUqS9seU4V5VXwJ+MKl6FbCuLa8Dzhmq/3gN3AIsTnL8LI1VkjRNBzrnflxVbW3L9wPHteUlwKahfptbnSTpIJrxG6pVVUDt7/OSrE2yIcmGiYmJmQ5DkjTkQMP9gV3TLe1xW6vfAiwb6re01T1BVV1ZVSuqasXY2NgBDkOStCcHGu7XAavb8mrg2qH6N7SrZlYCDw9N30iSDpJFU3VI8ing5cCxSTYDfwJcAlyTZA1wH/C61v0LwJnARuAx4E1zMGZJ0hSmDPeqOn8vTafvoW8BF850UJKkmfETqpLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdWjTqAcxn4xd/fiTbvfeSs0ayXUnzh2fuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHfKukPPQqO5GCd6RUpovPHOXpA4Z7pLUIcNdkjo0J+Ge5Iwk30myMcnFc7ENSdLezfobqkkOA/4SeCWwGfhqkuuq6s7Z3pYWDv+lobR/5uJqmVOAjVV1D0CSTwOrAMO9A6O8UmcUFuKVSQvtezxqc/V9notwXwJsGipvBn55cqcka4G1rbgjyXcOcHvHAt8/wOf2yn2yu3m5P3LpnK5+Xu6TOTSy/THD7/Nz9tYwsuvcq+pK4MqZrifJhqpaMQtD6ob7ZHfujydyn+yux/0xF2+obgGWDZWXtjpJ0kEyF+H+VWB5khOSHA6cB1w3B9uRJO3FrE/LVNXOJL8H/DNwGPCxqrpjtrczZMZTOx1yn+zO/fFE7pPddbc/UlWjHoMkaZb5CVVJ6pDhLkkdmtfhvtBvc5BkWZKbk9yZ5I4kF7X6o5PckOTu9njUqMd6MCU5LMntSa5v5ROS3NqOk6vbG/0LRpLFSdYn+XaSu5KcupCPkSRvaz8v30ryqSRP7fEYmbfhPnSbg1cBJwHnJzlptKM66HYC76iqk4CVwIVtH1wM3FhVy4EbW3khuQi4a6h8KXB5VZ0IPASsGcmoRudDwD9V1QuAFzHYNwvyGEmyBPh9YEVVvZDBRR/n0eExMm/DnaHbHFTVT4BdtzlYMKpqa1V9rS0/yuCHdgmD/bCudVsHnDOSAY5AkqXAWcBHWznAacD61mWh7Y8jgZcBVwFU1U+qajsL+BhhcJXg05IsAp4ObKXDY2Q+h/uebnOwZERjGbkk48DJwK3AcVW1tTXdDxw3qnGNwAeBdwGPt/IxwPaq2tnKC+04OQGYAP62TVV9NMkzWKDHSFVtAT4A/DeDUH8YuI0Oj5H5HO5qkhwBfAZ4a1U9MtxWg2tdF8T1rknOBrZV1W2jHsshZBHwEuCKqjoZ+B8mTcEssGPkKAZ/tZwAPAt4BnDGSAc1R+ZzuHubAyDJkxkE+yer6rOt+oEkx7f244FtoxrfQfZS4DVJ7mUwTXcag/nmxe1PcFh4x8lmYHNV3drK6xmE/UI9Rl4BfLeqJqrqp8BnGRw33R0j8zncF/xtDtp88lXAXVV12VDTdcDqtrwauPZgj20UqurdVbW0qsYZHA83VdUFwM3Aua3bgtkfAFV1P7ApyS+0qtMZ3H57QR4jDKZjViZ5evv52bU/ujtG5vUnVJOcyWCOdddtDt4/2hEdXEl+FfhX4Jv8/xzzexjMu18DPBu4D3hdVf1gJIMckSQvB95ZVWcneS6DM/mjgduB11fVj0c4vIMqyYsZvMF8OHAP8CYGJ3YL8hhJ8j7gNxlcbXY78DsM5ti7OkbmdbhLkvZsPk/LSJL2wnCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHfpfPIY3O1vDttYAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Individual histogram for each feature\n", "def hist_plots(df):\n", " plt.title(\"Histogram\")\n", " plt.hist(df)\n", " plt.show()\n", "hist_plots(df['CRIM'])" ] }, { "cell_type": "code", "execution_count": 19, "id": "b21dfe0c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:22.399597Z", "iopub.status.busy": "2021-08-07T18:37:22.398724Z", "iopub.status.idle": "2021-08-07T18:37:22.667694Z", "shell.execute_reply": "2021-08-07T18:37:22.667040Z", "shell.execute_reply.started": "2021-08-07T18:36:33.262768Z" }, "papermill": { "duration": 0.362338, "end_time": "2021-08-07T18:37:22.667842", "exception": false, "start_time": "2021-08-07T18:37:22.305504", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Individual Distribution plot for each feature\n", "def dist_plots(df):\n", " plt.title(\"Distribution Plot\")\n", " sns.distplot(df)\n", " plt.show()\n", "dist_plots(df['CRIM'])" ] }, { "cell_type": "code", "execution_count": 20, "id": "f74ee348", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:22.808988Z", "iopub.status.busy": "2021-08-07T18:37:22.807401Z", "iopub.status.idle": "2021-08-07T18:37:22.817113Z", "shell.execute_reply": "2021-08-07T18:37:22.816506Z", "shell.execute_reply.started": "2021-08-07T18:36:33.528922Z" }, "papermill": { "duration": 0.084425, "end_time": "2021-08-07T18:37:22.817257", "exception": false, "start_time": "2021-08-07T18:37:22.732832", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "CRIM 504\n", "ZN 26\n", "INDUS 76\n", "CHAS 2\n", "NOX 81\n", "RM 446\n", "AGE 356\n", "DIS 412\n", "RAD 9\n", "TAX 66\n", "PTRATIO 46\n", "B 357\n", "LSTAT 455\n", "MEDV 229\n", "dtype: int64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.nunique()" ] }, { "cell_type": "code", "execution_count": 21, "id": "6d337b70", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:22.953002Z", "iopub.status.busy": "2021-08-07T18:37:22.952291Z", "iopub.status.idle": "2021-08-07T18:37:24.180625Z", "shell.execute_reply": "2021-08-07T18:37:24.179941Z", "shell.execute_reply.started": "2021-08-07T18:36:33.541069Z" }, "papermill": { "duration": 1.298132, "end_time": "2021-08-07T18:37:24.180772", "exception": false, "start_time": "2021-08-07T18:37:22.882640", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ " <script type=\"text/javascript\">\n", " window.PlotlyConfig = {MathJaxConfig: 'local'};\n", " if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n", " if (typeof require !== 'undefined') {\n", " require.undef(\"plotly\");\n", " requirejs.config({\n", " paths: {\n", " 'plotly': ['https://cdn.plot.ly/plotly-2.2.0.min']\n", " }\n", " });\n", " require(['plotly'], function(Plotly) {\n", " window._Plotly = Plotly;\n", " });\n", " }\n", " </script>\n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "<div> <div id=\"41061d5f-a0af-46eb-858e-49bce6588d7e\" class=\"plotly-graph-div\" style=\"height:400px; width:800px;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"41061d5f-a0af-46eb-858e-49bce6588d7e\")) { Plotly.newPlot( \"41061d5f-a0af-46eb-858e-49bce6588d7e\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"CHAS=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"0\",\"marker\":{\"color\":\"#636efa\"},\"name\":\"0\",\"notched\":false,\"offsetgroup\":\"0\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[24.0,21.6,34.7,33.4,36.2,28.7,22.9,27.1,16.5,18.9,15.0,18.9,21.7,20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,18.9,20.0,21.0,24.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,19.7,20.5,25.0,23.4,18.9,35.4,24.7,31.6,23.3,19.6,18.7,16.0,22.2,25.0,33.0,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,24.1,21.4,20.0,20.8,21.2,20.3,28.0,23.9,24.8,22.9,23.9,26.6,22.5,22.2,23.6,28.7,22.6,22.0,22.9,25.0,20.6,28.4,21.4,38.7,43.8,33.2,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,22.0,20.3,20.5,17.3,18.8,21.4,15.7,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,19.4,13.1,41.3,24.3,23.3,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,32.0,29.8,34.9,37.0,30.5,36.4,31.1,29.1,50.0,33.3,30.3,34.6,34.9,32.9,24.1,42.3,48.5,50.0,22.6,24.4,22.5,28.1,23.7,25.0,28.7,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,24.0,31.5,23.7,23.3,22.0,20.1,22.2,23.7,17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,21.9,20.9,44.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,21.1,25.2,24.4,32.0,29.1,35.1,45.4,35.4,32.2,22.0,20.1,23.2,22.3,24.8,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.5,29.0,24.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,19.3,22.6,19.8,17.1,19.4,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,32.7,16.5,23.9,31.2,17.5,17.2,23.1,24.5,26.6,22.9,24.1,18.6,30.1,18.2,20.6,22.6,25.0,19.9,20.8,27.5,21.9,23.1,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6,15.2,7.0,8.1,13.6,20.1,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8,22.4,20.6,23.9,22.0,11.9],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"CHAS=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"1\",\"marker\":{\"color\":\"#EF553B\"},\"name\":\"1\",\"notched\":false,\"offsetgroup\":\"1\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[13.4,15.3,17.0,15.6,27.0,50.0,50.0,24.4,20.0,21.7,19.3,22.4,23.3,21.5,23.0,26.7,21.7,27.5,29.0,25.1,20.7,35.2,32.4,33.2,33.1,46.0,50.0,17.8,21.7,22.7,16.8,21.9,50.0,50.0,50.0],\"y0\":\" \",\"yaxis\":\"y\"}], {\"boxmode\":\"overlay\",\"height\":400,\"legend\":{\"title\":{\"text\":\"CHAS\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"width\":800,\"xaxis\":{\"anchor\":\"y\",\"categoryarray\":[0,1],\"categoryorder\":\"array\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"CHAS\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('41061d5f-a0af-46eb-858e-49bce6588d7e');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.box(df, x=\"CHAS\", y=\"MEDV\", color=\"CHAS\", width=800, height=400)\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 22, "id": "8577bd95", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:24.328597Z", "iopub.status.busy": "2021-08-07T18:37:24.323177Z", "iopub.status.idle": "2021-08-07T18:37:24.416681Z", "shell.execute_reply": "2021-08-07T18:37:24.416075Z", "shell.execute_reply.started": "2021-08-07T18:36:33.614601Z" }, "papermill": { "duration": 0.168788, "end_time": "2021-08-07T18:37:24.416834", "exception": false, "start_time": "2021-08-07T18:37:24.248046", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"a1fe1283-7e55-4958-a9f1-c23ac4bc3d42\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"a1fe1283-7e55-4958-a9f1-c23ac4bc3d42\")) { Plotly.newPlot( \"a1fe1283-7e55-4958-a9f1-c23ac4bc3d42\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"1\",\"marker\":{\"color\":\"#636efa\"},\"name\":\"1\",\"notched\":false,\"offsetgroup\":\"1\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[24.0,31.1,29.1,21.9,20.9,50.0,32.2,22.0,20.1,17.1,19.4,32.7,16.5,26.6,22.9,22.4,20.6,23.9,22.0,11.9],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"2\",\"marker\":{\"color\":\"#EF553B\"},\"name\":\"2\",\"notched\":false,\"offsetgroup\":\"2\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[21.6,34.7,24.7,23.6,28.7,22.6,22.0,28.4,21.4,38.7,43.8,33.2,22.0,20.3,20.5,17.3,18.8,21.4,15.7,33.3,30.3,34.6,24.1,42.3],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"3\",\"marker\":{\"color\":\"#00cc96\"},\"name\":\"3\",\"notched\":false,\"offsetgroup\":\"3\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[33.4,36.2,28.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,18.9,33.0,23.9,26.6,22.5,22.2,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,34.9,32.9,44.0,20.7,21.1,25.2,24.4,35.2,17.5,17.2],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"5\",\"marker\":{\"color\":\"#ab63fa\"},\"name\":\"5\",\"notched\":false,\"offsetgroup\":\"5\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[22.9,27.1,16.5,18.9,15.0,18.9,21.7,18.9,20.0,21.0,24.7,35.4,31.6,24.1,21.4,20.0,20.8,21.2,20.3,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,13.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,15.3,19.4,17.0,15.6,13.1,41.3,24.3,23.3,27.0,50.0,50.0,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,32.0,29.8,34.9,37.0,30.5,36.4,23.3,28.7,21.5,23.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,35.1,45.4,35.4,46.0,22.5,29.0,24.8,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,23.9,31.2,30.1],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"4\",\"marker\":{\"color\":\"#FFA15A\"},\"name\":\"4\",\"notched\":false,\"offsetgroup\":\"4\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,19.7,20.5,25.0,23.4,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,28.0,23.9,24.8,22.9,22.9,25.0,20.6,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,50.0,48.5,50.0,22.6,24.4,22.5,24.4,20.0,21.7,19.3,22.4,28.1,23.7,25.0,32.4,32.0,33.2,33.1,29.1,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,19.3,22.6,19.8,23.1,24.5,24.1,18.6,18.2,20.6,15.2,7.0,8.1,13.6,20.1],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"8\",\"marker\":{\"color\":\"#19d3f3\"},\"name\":\"8\",\"notched\":false,\"offsetgroup\":\"8\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[23.3,19.6,18.7,16.0,22.2,25.0,26.7,21.7,27.5,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,29.0,24.0,25.1,31.5],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"6\",\"marker\":{\"color\":\"#FF6692\"},\"name\":\"6\",\"notched\":false,\"offsetgroup\":\"6\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,23.7,23.3,22.0,20.1,22.2,23.7,23.2,22.3,24.8,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"7\",\"marker\":{\"color\":\"#B6E880\"},\"name\":\"7\",\"notched\":false,\"offsetgroup\":\"7\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2],\"y0\":\" \",\"yaxis\":\"y\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"RAD=%{x}<br>MEDV=%{y}<extra></extra>\",\"legendgroup\":\"24\",\"marker\":{\"color\":\"#FF97FF\"},\"name\":\"24\",\"notched\":false,\"offsetgroup\":\"24\",\"orientation\":\"v\",\"showlegend\":true,\"type\":\"box\",\"x\":[24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24],\"x0\":\" \",\"xaxis\":\"x\",\"y\":[17.8,21.7,22.7,22.6,25.0,19.9,20.8,16.8,21.9,27.5,21.9,23.1,50.0,50.0,50.0,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6],\"y0\":\" \",\"yaxis\":\"y\"}], {\"boxmode\":\"overlay\",\"legend\":{\"title\":{\"text\":\"RAD\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"categoryarray\":[1,2,3,5,4,8,6,7,24],\"categoryorder\":\"array\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"RAD\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('a1fe1283-7e55-4958-a9f1-c23ac4bc3d42');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.box(df, x=\"RAD\", y=\"MEDV\", color=\"RAD\")\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 23, "id": "60aa9352", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:24.557265Z", "iopub.status.busy": "2021-08-07T18:37:24.556594Z", "iopub.status.idle": "2021-08-07T18:37:24.646498Z", "shell.execute_reply": "2021-08-07T18:37:24.645947Z", "shell.execute_reply.started": "2021-08-07T18:36:33.712452Z" }, "papermill": { "duration": 0.162011, "end_time": "2021-08-07T18:37:24.646643", "exception": false, "start_time": "2021-08-07T18:37:24.484632", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"d158d114-e22f-49a9-8d91-b0c2e5bb4997\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"d158d114-e22f-49a9-8d91-b0c2e5bb4997\")) { Plotly.newPlot( \"d158d114-e22f-49a9-8d91-b0c2e5bb4997\", [{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"hole\":0.4,\"hovertemplate\":\"CHAS=%{label}<extra></extra>\",\"labels\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"legendgroup\":\"\",\"name\":\"\",\"showlegend\":true,\"type\":\"pie\"}], {\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#f2f5fa\"},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"rgb(17,17,17)\",\"plot_bgcolor\":\"rgb(17,17,17)\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2}}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('d158d114-e22f-49a9-8d91-b0c2e5bb4997');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.pie (df, names = \"CHAS\", hole = 0.4, template = \"plotly_dark\")\n", "fig.show ()" ] }, { "cell_type": "code", "execution_count": 24, "id": "3089a358", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:24.788806Z", "iopub.status.busy": "2021-08-07T18:37:24.787818Z", "iopub.status.idle": "2021-08-07T18:37:25.577898Z", "shell.execute_reply": "2021-08-07T18:37:25.577325Z", "shell.execute_reply.started": "2021-08-07T18:36:33.764893Z" }, "papermill": { "duration": 0.86324, "end_time": "2021-08-07T18:37:25.578049", "exception": false, "start_time": "2021-08-07T18:37:24.714809", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"23593d7b-94cd-4770-881a-4995dd6a68c4\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"23593d7b-94cd-4770-881a-4995dd6a68c4\")) { Plotly.newPlot( \"23593d7b-94cd-4770-881a-4995dd6a68c4\", [{\"hovertemplate\":\"MEDV=%{x}<br>RM=%{y}<br>CHAS=%{marker.color}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"coloraxis\":\"coloraxis\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[24.0,21.6,34.7,33.4,36.2,28.7,22.9,27.1,16.5,18.9,15.0,18.9,21.7,20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,18.9,20.0,21.0,24.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,19.7,20.5,25.0,23.4,18.9,35.4,24.7,31.6,23.3,19.6,18.7,16.0,22.2,25.0,33.0,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,24.1,21.4,20.0,20.8,21.2,20.3,28.0,23.9,24.8,22.9,23.9,26.6,22.5,22.2,23.6,28.7,22.6,22.0,22.9,25.0,20.6,28.4,21.4,38.7,43.8,33.2,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,22.0,20.3,20.5,17.3,18.8,21.4,15.7,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,13.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,15.3,19.4,17.0,15.6,13.1,41.3,24.3,23.3,27.0,50.0,50.0,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,32.0,29.8,34.9,37.0,30.5,36.4,31.1,29.1,50.0,33.3,30.3,34.6,34.9,32.9,24.1,42.3,48.5,50.0,22.6,24.4,22.5,24.4,20.0,21.7,19.3,22.4,28.1,23.7,25.0,23.3,28.7,21.5,23.0,26.7,21.7,27.5,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,29.0,24.0,25.1,31.5,23.7,23.3,22.0,20.1,22.2,23.7,17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,21.9,20.9,44.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,20.7,21.1,25.2,24.4,35.2,32.4,32.0,33.2,33.1,29.1,35.1,45.4,35.4,46.0,50.0,32.2,22.0,20.1,23.2,22.3,24.8,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.5,29.0,24.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,19.3,22.6,19.8,17.1,19.4,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,32.7,16.5,23.9,31.2,17.5,17.2,23.1,24.5,26.6,22.9,24.1,18.6,30.1,18.2,20.6,17.8,21.7,22.7,22.6,25.0,19.9,20.8,16.8,21.9,27.5,21.9,23.1,50.0,50.0,50.0,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6,15.2,7.0,8.1,13.6,20.1,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8,22.4,20.6,23.9,22.0,11.9],\"xaxis\":\"x\",\"y\":[6.575,6.421,7.185,6.998,7.147,6.43,6.012,6.172,5.631,6.004,6.377,6.009,5.889,5.949,6.096,5.834,5.935,5.99,5.456,5.727,5.57,5.965,6.142,5.813,5.924,5.599,5.813,6.047,6.495,6.674,5.713,6.072,5.95,5.701,6.096,5.933,5.841,5.85,5.966,6.595,7.024,6.77,6.169,6.211,6.069,5.682,5.786,6.03,5.399,5.602,5.963,6.115,6.511,5.998,5.888,7.249,6.383,6.816,6.145,5.927,5.741,5.966,6.456,6.762,7.104,6.29,5.787,5.878,5.594,5.885,6.417,5.961,6.065,6.245,6.273,6.286,6.279,6.14,6.232,5.874,6.727,6.619,6.302,6.167,6.389,6.63,6.015,6.121,7.007,7.079,6.417,6.405,6.442,6.211,6.249,6.625,6.163,8.069,7.82,7.416,6.727,6.781,6.405,6.137,6.167,5.851,5.836,6.127,6.474,6.229,6.195,6.715,5.913,6.092,6.254,5.928,6.176,6.021,5.872,5.731,5.87,6.004,5.961,5.856,5.879,5.986,5.613,5.693,6.431,5.637,6.458,6.326,6.372,5.822,5.757,6.335,5.942,6.454,5.857,6.151,6.174,5.019,5.403,5.468,4.903,6.13,5.628,4.926,5.186,5.597,6.122,5.404,5.012,5.709,6.129,6.152,5.272,6.943,6.066,6.51,6.25,7.489,7.802,8.375,5.854,6.101,7.929,5.877,6.319,6.402,5.875,5.88,5.572,6.416,5.859,6.546,6.02,6.315,6.86,6.98,7.765,6.144,7.155,6.563,5.604,6.153,7.831,6.782,6.556,7.185,6.951,6.739,7.178,6.8,6.604,7.875,7.287,7.107,7.274,6.975,7.135,6.162,7.61,7.853,8.034,5.891,6.326,5.783,6.064,5.344,5.96,5.404,5.807,6.375,5.412,6.182,5.888,6.642,5.951,6.373,6.951,6.164,6.879,6.618,8.266,8.725,8.04,7.163,7.686,6.552,5.981,7.412,8.337,8.247,6.726,6.086,6.631,7.358,6.481,6.606,6.897,6.095,6.358,6.393,5.593,5.605,6.108,6.226,6.433,6.718,6.487,6.438,6.957,8.259,6.108,5.876,7.454,8.704,7.333,6.842,7.203,7.52,8.398,7.327,7.206,5.56,7.014,8.297,7.47,5.92,5.856,6.24,6.538,7.691,6.758,6.854,7.267,6.826,6.482,6.812,7.82,6.968,7.645,7.923,7.088,6.453,6.23,6.209,6.315,6.565,6.861,7.148,6.63,6.127,6.009,6.678,6.549,5.79,6.345,7.041,6.871,6.59,6.495,6.982,7.236,6.616,7.42,6.849,6.635,5.972,4.973,6.122,6.023,6.266,6.567,5.705,5.914,5.782,6.382,6.113,6.426,6.376,6.041,5.708,6.415,6.431,6.312,6.083,5.868,6.333,6.144,5.706,6.031,6.316,6.31,6.037,5.869,5.895,6.059,5.985,5.968,7.241,6.54,6.696,6.874,6.014,5.898,6.516,6.635,6.939,6.49,6.579,5.884,6.728,5.663,5.936,6.212,6.395,6.127,6.112,6.398,6.251,5.362,5.803,8.78,3.561,4.963,3.863,4.97,6.683,7.016,6.216,5.875,4.906,4.138,7.313,6.649,6.794,6.38,6.223,6.968,6.545,5.536,5.52,4.368,5.277,4.652,5.0,4.88,5.39,5.713,6.051,5.036,6.193,5.887,6.471,6.405,5.747,5.453,5.852,5.987,6.343,6.404,5.349,5.531,5.683,4.138,5.608,5.617,6.852,5.757,6.657,4.628,5.155,4.519,6.434,6.782,5.304,5.957,6.824,6.411,6.006,5.648,6.103,5.565,5.896,5.837,6.202,6.193,6.38,6.348,6.833,6.425,6.436,6.208,6.629,6.461,6.152,5.935,5.627,5.818,6.406,6.219,6.485,5.854,6.459,6.341,6.251,6.185,6.417,6.749,6.655,6.297,7.393,6.728,6.525,5.976,5.936,6.301,6.081,6.701,6.376,6.317,6.513,6.209,5.759,5.952,6.003,5.926,5.713,6.167,6.229,6.437,6.98,5.427,6.162,6.484,5.304,6.185,6.229,6.242,6.75,7.061,5.762,5.871,6.312,6.114,5.905,5.454,5.414,5.093,5.983,5.983,5.707,5.926,5.67,5.39,5.794,6.019,5.569,6.027,6.593,6.12,6.976,6.794,6.03],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>OLS trendline</b><br>RM = 0.0531224 * MEDV + 5.08764<br>R<sup>2</sup>=0.483525<br><br>MEDV=%{x}<br>RM=%{y} <b>(trend)</b><extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[5.0,5.0,5.6,6.3,7.0,7.0,7.2,7.2,7.2,7.4,7.5,8.1,8.3,8.3,8.4,8.4,8.5,8.5,8.7,8.8,8.8,9.5,9.6,9.7,10.2,10.2,10.2,10.4,10.4,10.5,10.5,10.8,10.9,10.9,11.0,11.3,11.5,11.7,11.7,11.8,11.8,11.9,11.9,12.0,12.1,12.3,12.5,12.6,12.7,12.7,12.7,12.8,13.0,13.1,13.1,13.1,13.1,13.2,13.3,13.3,13.3,13.4,13.4,13.4,13.4,13.5,13.5,13.6,13.6,13.8,13.8,13.8,13.8,13.8,13.9,13.9,14.0,14.1,14.1,14.1,14.2,14.3,14.3,14.4,14.4,14.5,14.5,14.5,14.6,14.6,14.8,14.9,14.9,14.9,15.0,15.0,15.0,15.1,15.2,15.2,15.2,15.3,15.4,15.4,15.6,15.6,15.6,15.6,15.6,15.7,16.0,16.1,16.1,16.1,16.2,16.2,16.3,16.4,16.5,16.5,16.6,16.6,16.7,16.7,16.8,16.8,17.0,17.1,17.1,17.1,17.2,17.2,17.2,17.3,17.4,17.4,17.4,17.5,17.5,17.5,17.6,17.7,17.8,17.8,17.8,17.8,17.8,17.9,18.0,18.1,18.2,18.2,18.2,18.3,18.3,18.4,18.4,18.4,18.5,18.5,18.5,18.5,18.6,18.6,18.7,18.7,18.7,18.8,18.8,18.9,18.9,18.9,18.9,19.0,19.0,19.1,19.1,19.1,19.1,19.2,19.2,19.3,19.3,19.3,19.3,19.3,19.4,19.4,19.4,19.4,19.4,19.4,19.5,19.5,19.5,19.5,19.6,19.6,19.6,19.6,19.6,19.7,19.7,19.8,19.8,19.8,19.9,19.9,19.9,19.9,20.0,20.0,20.0,20.0,20.0,20.1,20.1,20.1,20.1,20.1,20.2,20.2,20.3,20.3,20.3,20.3,20.4,20.4,20.4,20.4,20.5,20.5,20.5,20.6,20.6,20.6,20.6,20.6,20.6,20.7,20.7,20.8,20.8,20.8,20.9,20.9,21.0,21.0,21.0,21.1,21.1,21.2,21.2,21.2,21.2,21.2,21.4,21.4,21.4,21.4,21.4,21.5,21.5,21.6,21.6,21.7,21.7,21.7,21.7,21.7,21.7,21.7,21.8,21.8,21.9,21.9,21.9,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.1,22.2,22.2,22.2,22.2,22.2,22.3,22.3,22.4,22.4,22.5,22.5,22.5,22.6,22.6,22.6,22.6,22.6,22.7,22.7,22.8,22.8,22.8,22.8,22.9,22.9,22.9,22.9,23.0,23.0,23.0,23.0,23.1,23.1,23.1,23.1,23.1,23.1,23.1,23.2,23.2,23.2,23.2,23.3,23.3,23.3,23.3,23.4,23.4,23.5,23.6,23.6,23.7,23.7,23.7,23.7,23.8,23.8,23.8,23.8,23.9,23.9,23.9,23.9,23.9,24.0,24.0,24.1,24.1,24.1,24.2,24.3,24.3,24.3,24.4,24.4,24.4,24.4,24.5,24.5,24.5,24.6,24.6,24.7,24.7,24.7,24.8,24.8,24.8,24.8,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.1,25.2,25.3,26.2,26.4,26.4,26.5,26.6,26.6,26.6,26.7,27.0,27.1,27.1,27.5,27.5,27.5,27.5,27.9,27.9,28.0,28.1,28.2,28.4,28.4,28.5,28.6,28.7,28.7,28.7,29.0,29.0,29.1,29.1,29.4,29.6,29.6,29.8,29.8,29.9,30.1,30.1,30.1,30.3,30.5,30.7,30.8,31.0,31.1,31.2,31.5,31.5,31.6,31.6,31.7,32.0,32.0,32.2,32.4,32.5,32.7,32.9,33.0,33.1,33.1,33.2,33.2,33.3,33.4,33.4,33.8,34.6,34.7,34.9,34.9,34.9,35.1,35.2,35.4,35.4,36.0,36.1,36.2,36.2,36.4,36.5,37.0,37.2,37.3,37.6,37.9,38.7,39.8,41.3,41.7,42.3,42.8,43.1,43.5,43.8,44.0,44.8,45.4,46.0,46.7,48.3,48.5,48.8,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0],\"xaxis\":\"x\",\"y\":[5.3532504421362495,5.3532504421362495,5.385123854572274,5.422309502414302,5.4594951502563305,5.4594951502563305,5.4701196210683385,5.4701196210683385,5.4701196210683385,5.4807440918803465,5.4860563272863505,5.517929739722375,5.5285542105343835,5.5285542105343835,5.5338664459403875,5.5338664459403875,5.5391786813463915,5.5391786813463915,5.5498031521583995,5.5551153875644035,5.5551153875644035,5.592301035406432,5.597613270812436,5.60292550621844,5.6294866832484605,5.6294866832484605,5.6294866832484605,5.6401111540604685,5.6401111540604685,5.6454233894664725,5.6454233894664725,5.6613600956844845,5.6666723310904885,5.6666723310904885,5.6719845664964925,5.6879212727145045,5.6985457435265126,5.709170214338521,5.709170214338521,5.7144824497445255,5.7144824497445255,5.7197946851505295,5.7197946851505295,5.7251069205565335,5.7304191559625375,5.7410436267745455,5.7516680975865535,5.7569803329925575,5.7622925683985615,5.7622925683985615,5.7622925683985615,5.7676048038045655,5.7782292746165735,5.7835415100225775,5.7835415100225775,5.7835415100225775,5.7835415100225775,5.7888537454285816,5.794165980834586,5.794165980834586,5.794165980834586,5.79947821624059,5.79947821624059,5.79947821624059,5.79947821624059,5.804790451646594,5.804790451646594,5.810102687052598,5.810102687052598,5.8207271578646065,5.8207271578646065,5.8207271578646065,5.8207271578646065,5.8207271578646065,5.8260393932706105,5.8260393932706105,5.8313516286766145,5.8366638640826185,5.8366638640826185,5.8366638640826185,5.8419760994886225,5.8472883348946265,5.8472883348946265,5.8526005703006305,5.8526005703006305,5.8579128057066345,5.8579128057066345,5.8579128057066345,5.8632250411126385,5.8632250411126385,5.8738495119246465,5.8791617473306506,5.8791617473306506,5.8791617473306506,5.884473982736655,5.884473982736655,5.884473982736655,5.889786218142659,5.895098453548663,5.895098453548663,5.895098453548663,5.900410688954667,5.905722924360671,5.905722924360671,5.916347395172679,5.916347395172679,5.916347395172679,5.916347395172679,5.916347395172679,5.921659630578683,5.937596336796695,5.9429085722026995,5.9429085722026995,5.9429085722026995,5.948220807608703,5.948220807608703,5.9535330430147075,5.9588452784207115,5.9641575138267156,5.9641575138267156,5.96946974923272,5.96946974923272,5.974781984638724,5.974781984638724,5.980094220044728,5.980094220044728,5.990718690856736,5.99603092626274,5.99603092626274,5.99603092626274,6.001343161668744,6.001343161668744,6.001343161668744,6.006655397074748,6.011967632480752,6.011967632480752,6.011967632480752,6.017279867886756,6.017279867886756,6.017279867886756,6.02259210329276,6.027904338698764,6.033216574104768,6.033216574104768,6.033216574104768,6.033216574104768,6.033216574104768,6.038528809510772,6.0438410449167765,6.0491532803227805,6.0544655157287846,6.0544655157287846,6.0544655157287846,6.059777751134789,6.059777751134789,6.065089986540793,6.065089986540793,6.065089986540793,6.070402221946797,6.070402221946797,6.070402221946797,6.070402221946797,6.075714457352801,6.075714457352801,6.081026692758805,6.081026692758805,6.081026692758805,6.086338928164809,6.086338928164809,6.091651163570813,6.091651163570813,6.091651163570813,6.091651163570813,6.096963398976817,6.096963398976817,6.102275634382821,6.102275634382821,6.102275634382821,6.102275634382821,6.107587869788825,6.107587869788825,6.112900105194829,6.112900105194829,6.112900105194829,6.112900105194829,6.112900105194829,6.118212340600833,6.118212340600833,6.118212340600833,6.118212340600833,6.118212340600833,6.118212340600833,6.123524576006837,6.123524576006837,6.123524576006837,6.123524576006837,6.128836811412841,6.128836811412841,6.128836811412841,6.128836811412841,6.128836811412841,6.134149046818845,6.134149046818845,6.139461282224849,6.139461282224849,6.139461282224849,6.144773517630853,6.144773517630853,6.144773517630853,6.144773517630853,6.150085753036857,6.150085753036857,6.150085753036857,6.150085753036857,6.150085753036857,6.155397988442861,6.155397988442861,6.155397988442861,6.155397988442861,6.155397988442861,6.160710223848865,6.160710223848865,6.166022459254869,6.166022459254869,6.166022459254869,6.166022459254869,6.171334694660873,6.171334694660873,6.171334694660873,6.171334694660873,6.176646930066877,6.176646930066877,6.176646930066877,6.181959165472882,6.181959165472882,6.181959165472882,6.181959165472882,6.181959165472882,6.181959165472882,6.187271400878886,6.187271400878886,6.19258363628489,6.19258363628489,6.19258363628489,6.197895871690894,6.197895871690894,6.203208107096898,6.203208107096898,6.203208107096898,6.208520342502902,6.208520342502902,6.213832577908906,6.213832577908906,6.213832577908906,6.213832577908906,6.213832577908906,6.224457048720914,6.224457048720914,6.224457048720914,6.224457048720914,6.224457048720914,6.229769284126918,6.229769284126918,6.235081519532922,6.235081519532922,6.240393754938926,6.240393754938926,6.240393754938926,6.240393754938926,6.240393754938926,6.240393754938926,6.240393754938926,6.24570599034493,6.24570599034493,6.251018225750934,6.251018225750934,6.251018225750934,6.256330461156938,6.256330461156938,6.256330461156938,6.256330461156938,6.256330461156938,6.256330461156938,6.256330461156938,6.261642696562943,6.266954931968946,6.266954931968946,6.266954931968946,6.266954931968946,6.266954931968946,6.272267167374951,6.272267167374951,6.277579402780955,6.277579402780955,6.282891638186959,6.282891638186959,6.282891638186959,6.288203873592963,6.288203873592963,6.288203873592963,6.288203873592963,6.288203873592963,6.293516108998967,6.293516108998967,6.298828344404971,6.298828344404971,6.298828344404971,6.298828344404971,6.304140579810975,6.304140579810975,6.304140579810975,6.304140579810975,6.309452815216979,6.309452815216979,6.309452815216979,6.309452815216979,6.314765050622983,6.314765050622983,6.314765050622983,6.314765050622983,6.314765050622983,6.314765050622983,6.314765050622983,6.320077286028987,6.320077286028987,6.320077286028987,6.320077286028987,6.325389521434991,6.325389521434991,6.325389521434991,6.325389521434991,6.330701756840995,6.330701756840995,6.336013992246999,6.341326227653003,6.341326227653003,6.346638463059007,6.346638463059007,6.346638463059007,6.346638463059007,6.351950698465011,6.351950698465011,6.351950698465011,6.351950698465011,6.357262933871015,6.357262933871015,6.357262933871015,6.357262933871015,6.357262933871015,6.362575169277019,6.362575169277019,6.367887404683023,6.367887404683023,6.367887404683023,6.373199640089027,6.378511875495031,6.378511875495031,6.378511875495031,6.383824110901035,6.383824110901035,6.383824110901035,6.383824110901035,6.389136346307039,6.389136346307039,6.389136346307039,6.394448581713043,6.394448581713043,6.399760817119047,6.399760817119047,6.399760817119047,6.405073052525052,6.405073052525052,6.405073052525052,6.405073052525052,6.41569752333706,6.41569752333706,6.41569752333706,6.41569752333706,6.41569752333706,6.41569752333706,6.41569752333706,6.41569752333706,6.421009758743064,6.426321994149068,6.431634229555072,6.479444348209108,6.490068819021116,6.490068819021116,6.495381054427121,6.500693289833125,6.500693289833125,6.500693289833125,6.506005525239129,6.521942231457141,6.527254466863145,6.527254466863145,6.548503408487161,6.548503408487161,6.548503408487161,6.548503408487161,6.569752350111177,6.569752350111177,6.575064585517181,6.580376820923185,6.585689056329189,6.596313527141197,6.596313527141197,6.601625762547201,6.606937997953205,6.612250233359209,6.612250233359209,6.612250233359209,6.628186939577221,6.628186939577221,6.633499174983226,6.633499174983226,6.649435881201238,6.660060352013246,6.660060352013246,6.670684822825254,6.670684822825254,6.675997058231258,6.686621529043266,6.686621529043266,6.686621529043266,6.697245999855274,6.707870470667282,6.71849494147929,6.723807176885295,6.734431647697303,6.739743883103307,6.745056118509311,6.760992824727323,6.760992824727323,6.766305060133327,6.766305060133327,6.771617295539331,6.787554001757343,6.787554001757343,6.798178472569351,6.808802943381359,6.814115178787363,6.824739649599371,6.835364120411379,6.840676355817383,6.845988591223387,6.845988591223387,6.851300826629392,6.851300826629392,6.856613062035395,6.861925297441399,6.861925297441399,6.883174239065416,6.925672122313448,6.930984357719453,6.94160882853146,6.94160882853146,6.94160882853146,6.952233299343469,6.957545534749473,6.968170005561481,6.968170005561481,7.000043417997505,7.005355653403509,7.010667888809513,7.010667888809513,7.021292359621521,7.026604595027525,7.053165772057545,7.063790242869553,7.069102478275557,7.08503918449357,7.100975890711581,7.143473773959615,7.201908363425659,7.281591894515719,7.302840836139735,7.334714248575759,7.36127542560578,7.377212131823793,7.398461073447809,7.414397779665821,7.425022250477829,7.467520133725861,7.499393546161885,7.531266958597909,7.568452606439938,7.653448372936003,7.664072843748011,7.680009549966023,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071,7.743756374838071],\"yaxis\":\"y\"}], {\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"CHAS\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#f2f5fa\"},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"rgb(17,17,17)\",\"plot_bgcolor\":\"rgb(17,17,17)\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"RM\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('23593d7b-94cd-4770-881a-4995dd6a68c4');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.scatter (df, x = \"MEDV\", y = \"RM\", color = \"CHAS\", template = \"plotly_dark\", trendline=\"ols\")\n", "fig.show ()" ] }, { "cell_type": "code", "execution_count": 25, "id": "d603ce2d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:25.731728Z", "iopub.status.busy": "2021-08-07T18:37:25.730644Z", "iopub.status.idle": "2021-08-07T18:37:25.798013Z", "shell.execute_reply": "2021-08-07T18:37:25.798569Z", "shell.execute_reply.started": "2021-08-07T18:36:33.844818Z" }, "papermill": { "duration": 0.150826, "end_time": "2021-08-07T18:37:25.798742", "exception": false, "start_time": "2021-08-07T18:37:25.647916", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"3ca0e60a-7a39-456b-a647-bf3410ca24ea\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"3ca0e60a-7a39-456b-a647-bf3410ca24ea\")) { Plotly.newPlot( \"3ca0e60a-7a39-456b-a647-bf3410ca24ea\", [{\"hovertemplate\":\"MEDV=%{x}<br>DIS=%{y}<br>ZN=%{marker.color}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":[18.0,0.0,0.0,0.0,0.0,0.0,12.5,12.5,12.5,12.5,12.5,12.5,12.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,21.0,21.0,21.0,75.0,90.0,85.0,100.0,25.0,25.0,25.0,25.0,25.0,25.0,17.5,80.0,80.0,12.5,12.5,12.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,25.0,25.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,28.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,45.0,45.0,45.0,45.0,45.0,45.0,60.0,60.0,80.0,80.0,80.0,80.0,95.0,95.0,82.5,82.5,95.0,95.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,30.0,30.0,30.0,30.0,30.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,80.0,80.0,90.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,40.0,40.0,40.0,40.0,40.0,20.0,20.0,20.0,20.0,90.0,90.0,55.0,80.0,52.5,52.5,52.5,80.0,80.0,80.0,0.0,0.0,0.0,0.0,0.0,70.0,70.0,70.0,34.0,34.0,34.0,33.0,33.0,33.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,55.0,55.0,0.0,0.0,85.0,80.0,40.0,40.0,60.0,60.0,90.0,80.0,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],\"coloraxis\":\"coloraxis\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[24.0,21.6,34.7,33.4,36.2,28.7,22.9,27.1,16.5,18.9,15.0,18.9,21.7,20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,18.9,20.0,21.0,24.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,19.7,20.5,25.0,23.4,18.9,35.4,24.7,31.6,23.3,19.6,18.7,16.0,22.2,25.0,33.0,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,24.1,21.4,20.0,20.8,21.2,20.3,28.0,23.9,24.8,22.9,23.9,26.6,22.5,22.2,23.6,28.7,22.6,22.0,22.9,25.0,20.6,28.4,21.4,38.7,43.8,33.2,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,22.0,20.3,20.5,17.3,18.8,21.4,15.7,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,13.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,15.3,19.4,17.0,15.6,13.1,41.3,24.3,23.3,27.0,50.0,50.0,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,32.0,29.8,34.9,37.0,30.5,36.4,31.1,29.1,50.0,33.3,30.3,34.6,34.9,32.9,24.1,42.3,48.5,50.0,22.6,24.4,22.5,24.4,20.0,21.7,19.3,22.4,28.1,23.7,25.0,23.3,28.7,21.5,23.0,26.7,21.7,27.5,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,29.0,24.0,25.1,31.5,23.7,23.3,22.0,20.1,22.2,23.7,17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,21.9,20.9,44.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,20.7,21.1,25.2,24.4,35.2,32.4,32.0,33.2,33.1,29.1,35.1,45.4,35.4,46.0,50.0,32.2,22.0,20.1,23.2,22.3,24.8,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.5,29.0,24.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,19.3,22.6,19.8,17.1,19.4,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,32.7,16.5,23.9,31.2,17.5,17.2,23.1,24.5,26.6,22.9,24.1,18.6,30.1,18.2,20.6,17.8,21.7,22.7,22.6,25.0,19.9,20.8,16.8,21.9,27.5,21.9,23.1,50.0,50.0,50.0,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6,15.2,7.0,8.1,13.6,20.1,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8,22.4,20.6,23.9,22.0,11.9],\"xaxis\":\"x\",\"y\":[4.09,4.9671,4.9671,6.0622,6.0622,6.0622,5.5605,5.9505,6.0821,6.5921,6.3467,6.2267,5.4509,4.7075,4.4619,4.4986,4.4986,4.2579,3.7965,3.7965,3.7979,4.0123,3.9769,4.0952,4.3996,4.4546,4.682,4.4534,4.4547,4.239,4.233,4.175,3.99,3.7872,3.7598,3.3603,3.3779,3.9342,3.8473,5.4011,5.4011,5.7209,5.7209,5.7209,5.7209,5.1004,5.1004,5.6894,5.87,6.0877,6.8147,6.8147,6.8147,6.8147,7.3197,8.6966,9.1876,8.3248,7.8148,6.932,7.2254,6.8185,7.2255,7.9809,9.2229,6.6115,6.6115,6.498,6.498,6.498,5.2873,5.2873,5.2873,5.2873,4.2515,4.5026,4.0522,4.0905,5.0141,4.5026,5.4007,5.4007,5.4007,5.4007,4.7794,4.4377,4.4272,3.7476,3.4217,3.4145,3.0923,3.0921,3.6659,3.6659,3.615,3.4952,3.4952,3.4952,3.4952,3.4952,2.7778,2.8561,2.7147,2.7147,2.421,2.1069,2.211,2.1224,2.4329,2.5451,2.7778,2.6775,2.3534,2.548,2.2565,2.4631,2.7301,2.7474,2.4775,2.7592,2.2577,2.1974,2.0869,1.9444,2.0063,1.9929,1.7572,1.7883,1.8125,1.9799,2.1185,2.271,2.3274,2.4699,2.346,2.1107,1.9669,1.8498,1.6686,1.6687,1.6119,1.4394,1.3216,1.4118,1.3459,1.4191,1.5166,1.4608,1.5296,1.5257,1.618,1.5916,1.6102,1.6232,1.7494,1.7455,1.7364,1.8773,1.7573,1.7659,1.7984,1.9709,2.0407,2.162,2.422,2.2834,2.0459,2.4259,2.1,2.2625,2.4259,2.3887,2.5961,2.6463,2.7019,3.1323,3.5549,3.3175,2.9153,2.829,2.741,2.5979,2.7006,2.847,2.9879,3.2797,3.1992,3.7886,4.5667,4.5667,6.4798,6.4798,6.4798,6.2196,6.2196,5.6484,7.309,7.309,7.309,7.6534,7.6534,6.27,6.27,5.118,5.118,3.9454,4.3549,4.3549,4.2392,3.875,3.8771,3.665,3.6526,3.9454,3.5875,3.9454,3.1121,3.4211,2.8893,3.3633,2.8617,3.048,3.2721,3.2721,2.8944,2.8944,3.2157,3.2157,3.3751,3.3751,3.6715,3.6715,3.8384,3.6519,3.6519,3.6519,4.148,4.148,6.1899,6.1899,6.3361,6.3361,7.0355,7.0355,7.9549,7.9549,8.0555,8.0555,7.8265,7.8265,7.3967,7.3967,8.9067,8.9067,9.2203,9.2203,6.3361,1.801,1.8946,2.0107,2.1121,2.1398,2.2885,2.0788,1.9301,1.9865,2.1329,2.4216,2.872,3.9175,4.429,4.429,3.9175,4.3665,4.0776,4.2673,4.7872,4.8628,4.1403,4.1007,4.6947,5.2447,5.2119,5.885,7.3073,7.3073,9.0892,7.3172,7.3172,7.3172,5.1167,5.1167,5.1167,5.5027,5.5027,5.9604,5.9604,6.32,7.8278,7.8278,7.8278,5.4917,5.4917,5.4917,4.022,3.37,3.0992,3.1827,3.3175,3.1025,2.5194,2.6403,2.834,3.2628,3.6023,3.945,3.9986,4.0317,3.5325,4.0019,4.5404,4.5404,4.7211,4.7211,4.7211,5.4159,5.4159,5.4159,5.2146,5.2146,5.8736,6.6407,6.6407,6.4584,6.4584,5.9853,5.2311,5.615,4.8122,4.8122,4.8122,7.0379,6.2669,5.7321,6.4654,8.0136,8.0136,8.5353,8.344,8.7921,8.7921,10.7103,10.7103,12.1265,10.5857,10.5857,2.1222,2.5052,2.7227,2.5091,2.5182,2.2955,2.1036,1.9047,1.9047,1.6132,1.7523,1.5106,1.3325,1.3567,1.2024,1.1691,1.1296,1.1742,1.137,1.3163,1.3449,1.358,1.3861,1.3861,1.4165,1.5192,1.5804,1.5331,1.4395,1.4261,1.4672,1.5184,1.5895,1.7281,1.9265,2.1678,1.77,1.7912,1.7821,1.7257,1.6768,1.6334,1.4896,1.5004,1.5888,1.5741,1.639,1.7028,1.6074,1.4254,1.1781,1.2852,1.4547,1.4655,1.413,1.5275,1.5539,1.5894,1.6582,1.8347,1.8195,1.6475,1.8026,1.794,1.8589,1.8746,1.9512,2.0218,2.0635,1.9096,1.9976,1.8629,1.9356,1.9682,2.0527,2.0882,2.2004,2.3158,2.2222,2.1247,2.0026,1.9142,1.8206,1.8172,1.8662,2.0651,2.0048,1.9784,1.8956,1.9879,2.072,2.198,2.2616,2.185,2.3236,2.3552,2.3682,2.4527,2.4961,2.4358,2.5806,2.7792,2.7831,2.7175,2.5975,2.5671,2.7344,2.8016,2.9634,3.0665,2.8715,2.5403,2.9084,2.8237,3.0334,3.0993,2.8965,2.5329,2.4298,2.206,2.3053,2.1007,2.1705,1.9512,3.4242,3.3317,3.4106,4.0983,3.724,3.9917,3.5459,3.1523,1.8209,1.7554,1.8226,1.8681,2.1099,2.3817,2.3817,2.7986,2.7986,2.8927,2.4091,2.3999,2.4982,2.4786,2.2875,2.1675,2.3889,2.505],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>OLS trendline</b><br>DIS = 0.0572221 * MEDV + 2.50567<br>R<sup>2</sup>=0.062464<br><br>MEDV=%{x}<br>DIS=%{y} <b>(trend)</b><extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[5.0,5.0,5.6,6.3,7.0,7.0,7.2,7.2,7.2,7.4,7.5,8.1,8.3,8.3,8.4,8.4,8.5,8.5,8.7,8.8,8.8,9.5,9.6,9.7,10.2,10.2,10.2,10.4,10.4,10.5,10.5,10.8,10.9,10.9,11.0,11.3,11.5,11.7,11.7,11.8,11.8,11.9,11.9,12.0,12.1,12.3,12.5,12.6,12.7,12.7,12.7,12.8,13.0,13.1,13.1,13.1,13.1,13.2,13.3,13.3,13.3,13.4,13.4,13.4,13.4,13.5,13.5,13.6,13.6,13.8,13.8,13.8,13.8,13.8,13.9,13.9,14.0,14.1,14.1,14.1,14.2,14.3,14.3,14.4,14.4,14.5,14.5,14.5,14.6,14.6,14.8,14.9,14.9,14.9,15.0,15.0,15.0,15.1,15.2,15.2,15.2,15.3,15.4,15.4,15.6,15.6,15.6,15.6,15.6,15.7,16.0,16.1,16.1,16.1,16.2,16.2,16.3,16.4,16.5,16.5,16.6,16.6,16.7,16.7,16.8,16.8,17.0,17.1,17.1,17.1,17.2,17.2,17.2,17.3,17.4,17.4,17.4,17.5,17.5,17.5,17.6,17.7,17.8,17.8,17.8,17.8,17.8,17.9,18.0,18.1,18.2,18.2,18.2,18.3,18.3,18.4,18.4,18.4,18.5,18.5,18.5,18.5,18.6,18.6,18.7,18.7,18.7,18.8,18.8,18.9,18.9,18.9,18.9,19.0,19.0,19.1,19.1,19.1,19.1,19.2,19.2,19.3,19.3,19.3,19.3,19.3,19.4,19.4,19.4,19.4,19.4,19.4,19.5,19.5,19.5,19.5,19.6,19.6,19.6,19.6,19.6,19.7,19.7,19.8,19.8,19.8,19.9,19.9,19.9,19.9,20.0,20.0,20.0,20.0,20.0,20.1,20.1,20.1,20.1,20.1,20.2,20.2,20.3,20.3,20.3,20.3,20.4,20.4,20.4,20.4,20.5,20.5,20.5,20.6,20.6,20.6,20.6,20.6,20.6,20.7,20.7,20.8,20.8,20.8,20.9,20.9,21.0,21.0,21.0,21.1,21.1,21.2,21.2,21.2,21.2,21.2,21.4,21.4,21.4,21.4,21.4,21.5,21.5,21.6,21.6,21.7,21.7,21.7,21.7,21.7,21.7,21.7,21.8,21.8,21.9,21.9,21.9,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.1,22.2,22.2,22.2,22.2,22.2,22.3,22.3,22.4,22.4,22.5,22.5,22.5,22.6,22.6,22.6,22.6,22.6,22.7,22.7,22.8,22.8,22.8,22.8,22.9,22.9,22.9,22.9,23.0,23.0,23.0,23.0,23.1,23.1,23.1,23.1,23.1,23.1,23.1,23.2,23.2,23.2,23.2,23.3,23.3,23.3,23.3,23.4,23.4,23.5,23.6,23.6,23.7,23.7,23.7,23.7,23.8,23.8,23.8,23.8,23.9,23.9,23.9,23.9,23.9,24.0,24.0,24.1,24.1,24.1,24.2,24.3,24.3,24.3,24.4,24.4,24.4,24.4,24.5,24.5,24.5,24.6,24.6,24.7,24.7,24.7,24.8,24.8,24.8,24.8,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.1,25.2,25.3,26.2,26.4,26.4,26.5,26.6,26.6,26.6,26.7,27.0,27.1,27.1,27.5,27.5,27.5,27.5,27.9,27.9,28.0,28.1,28.2,28.4,28.4,28.5,28.6,28.7,28.7,28.7,29.0,29.0,29.1,29.1,29.4,29.6,29.6,29.8,29.8,29.9,30.1,30.1,30.1,30.3,30.5,30.7,30.8,31.0,31.1,31.2,31.5,31.5,31.6,31.6,31.7,32.0,32.0,32.2,32.4,32.5,32.7,32.9,33.0,33.1,33.1,33.2,33.2,33.3,33.4,33.4,33.8,34.6,34.7,34.9,34.9,34.9,35.1,35.2,35.4,35.4,36.0,36.1,36.2,36.2,36.4,36.5,37.0,37.2,37.3,37.6,37.9,38.7,39.8,41.3,41.7,42.3,42.8,43.1,43.5,43.8,44.0,44.8,45.4,46.0,46.7,48.3,48.5,48.8,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0],\"xaxis\":\"x\",\"y\":[2.791778964545151,2.791778964545151,2.8261122151836036,2.8661676742617974,2.9062231333399917,2.9062231333399917,2.917667550219476,2.917667550219476,2.917667550219476,2.92911196709896,2.934834175538702,2.969167426177154,2.9806118430566384,2.9806118430566384,2.9863340514963803,2.9863340514963803,2.9920562599361222,2.9920562599361222,3.0035006768156065,3.0092228852553484,3.0092228852553484,3.0492783443335427,3.0550005527732846,3.060722761213027,3.089333803411737,3.089333803411737,3.089333803411737,3.1007782202912213,3.1007782202912213,3.106500428730963,3.106500428730963,3.1236670540501894,3.1293892624899313,3.1293892624899313,3.1351114709296732,3.1522780962488994,3.1637225131283837,3.1751669300078675,3.1751669300078675,3.18088913844761,3.18088913844761,3.186611346887352,3.186611346887352,3.1923335553270937,3.1980557637668356,3.20950018064632,3.220944597525804,3.226666805965546,3.232389014405288,3.232389014405288,3.232389014405288,3.2381112228450304,3.2495556397245142,3.255277848164256,3.255277848164256,3.255277848164256,3.255277848164256,3.261000056603998,3.2667222650437404,3.2667222650437404,3.2667222650437404,3.2724444734834823,3.2724444734834823,3.2724444734834823,3.2724444734834823,3.2781666819232242,3.2781666819232242,3.2838888903629666,3.2838888903629666,3.2953333072424504,3.2953333072424504,3.2953333072424504,3.2953333072424504,3.2953333072424504,3.301055515682193,3.301055515682193,3.3067777241219347,3.3124999325616766,3.3124999325616766,3.3124999325616766,3.3182221410014185,3.323944349441161,3.323944349441161,3.329666557880903,3.329666557880903,3.3353887663206447,3.3353887663206447,3.3353887663206447,3.3411109747603867,3.3411109747603867,3.352555391639871,3.358277600079613,3.358277600079613,3.358277600079613,3.363999808519355,3.363999808519355,3.363999808519355,3.369722016959097,3.375444225398839,3.375444225398839,3.375444225398839,3.3811664338385814,3.3868886422783233,3.3868886422783233,3.398333059157807,3.398333059157807,3.398333059157807,3.398333059157807,3.398333059157807,3.404055267597549,3.4212218929167753,3.4269441013565176,3.4269441013565176,3.4269441013565176,3.4326663097962595,3.4326663097962595,3.4383885182360014,3.4441107266757434,3.4498329351154857,3.4498329351154857,3.4555551435552276,3.4555551435552276,3.4612773519949696,3.4612773519949696,3.4669995604347115,3.4669995604347115,3.4784439773141957,3.4841661857539377,3.4841661857539377,3.4841661857539377,3.48988839419368,3.48988839419368,3.48988839419368,3.495610602633422,3.501332811073164,3.501332811073164,3.501332811073164,3.507055019512906,3.507055019512906,3.507055019512906,3.512777227952648,3.51849943639239,3.5242216448321324,3.5242216448321324,3.5242216448321324,3.5242216448321324,3.5242216448321324,3.529943853271874,3.5356660617116162,3.541388270151358,3.5471104785911,3.5471104785911,3.5471104785911,3.5528326870308424,3.5528326870308424,3.558554895470584,3.558554895470584,3.558554895470584,3.5642771039103263,3.5642771039103263,3.5642771039103263,3.5642771039103263,3.5699993123500686,3.5699993123500686,3.57572152078981,3.57572152078981,3.57572152078981,3.5814437292295525,3.5814437292295525,3.5871659376692944,3.5871659376692944,3.5871659376692944,3.5871659376692944,3.5928881461090363,3.5928881461090363,3.5986103545487786,3.5986103545487786,3.5986103545487786,3.5986103545487786,3.6043325629885206,3.6043325629885206,3.6100547714282625,3.6100547714282625,3.6100547714282625,3.6100547714282625,3.6100547714282625,3.615776979868005,3.615776979868005,3.615776979868005,3.615776979868005,3.615776979868005,3.615776979868005,3.6214991883077468,3.6214991883077468,3.6214991883077468,3.6214991883077468,3.6272213967474887,3.6272213967474887,3.6272213967474887,3.6272213967474887,3.6272213967474887,3.632943605187231,3.632943605187231,3.638665813626973,3.638665813626973,3.638665813626973,3.644388022066715,3.644388022066715,3.644388022066715,3.644388022066715,3.650110230506457,3.650110230506457,3.650110230506457,3.650110230506457,3.650110230506457,3.655832438946199,3.655832438946199,3.655832438946199,3.655832438946199,3.655832438946199,3.661554647385941,3.661554647385941,3.667276855825683,3.667276855825683,3.667276855825683,3.667276855825683,3.672999064265425,3.672999064265425,3.672999064265425,3.672999064265425,3.6787212727051672,3.6787212727051672,3.6787212727051672,3.684443481144909,3.684443481144909,3.684443481144909,3.684443481144909,3.684443481144909,3.684443481144909,3.690165689584651,3.690165689584651,3.6958878980243934,3.6958878980243934,3.6958878980243934,3.701610106464135,3.701610106464135,3.7073323149038773,3.7073323149038773,3.7073323149038773,3.7130545233436196,3.7130545233436196,3.718776731783361,3.718776731783361,3.718776731783361,3.718776731783361,3.718776731783361,3.7302211486628454,3.7302211486628454,3.7302211486628454,3.7302211486628454,3.7302211486628454,3.7359433571025873,3.7359433571025873,3.7416655655423297,3.7416655655423297,3.7473877739820716,3.7473877739820716,3.7473877739820716,3.7473877739820716,3.7473877739820716,3.7473877739820716,3.7473877739820716,3.7531099824218135,3.7531099824218135,3.758832190861556,3.758832190861556,3.758832190861556,3.7645543993012978,3.7645543993012978,3.7645543993012978,3.7645543993012978,3.7645543993012978,3.7645543993012978,3.7645543993012978,3.7702766077410397,3.775998816180782,3.775998816180782,3.775998816180782,3.775998816180782,3.775998816180782,3.781721024620524,3.781721024620524,3.787443233060266,3.787443233060266,3.793165441500008,3.793165441500008,3.793165441500008,3.7988876499397497,3.7988876499397497,3.7988876499397497,3.7988876499397497,3.7988876499397497,3.804609858379492,3.804609858379492,3.810332066819234,3.810332066819234,3.810332066819234,3.810332066819234,3.816054275258976,3.816054275258976,3.816054275258976,3.816054275258976,3.8217764836987183,3.8217764836987183,3.8217764836987183,3.8217764836987183,3.82749869213846,3.82749869213846,3.82749869213846,3.82749869213846,3.82749869213846,3.82749869213846,3.82749869213846,3.833220900578202,3.833220900578202,3.833220900578202,3.833220900578202,3.8389431090179444,3.8389431090179444,3.8389431090179444,3.8389431090179444,3.844665317457686,3.844665317457686,3.8503875258974283,3.8561097343371706,3.8561097343371706,3.861831942776912,3.861831942776912,3.861831942776912,3.861831942776912,3.8675541512166545,3.8675541512166545,3.8675541512166545,3.8675541512166545,3.8732763596563964,3.8732763596563964,3.8732763596563964,3.8732763596563964,3.8732763596563964,3.8789985680961383,3.8789985680961383,3.8847207765358807,3.8847207765358807,3.8847207765358807,3.8904429849756226,3.8961651934153645,3.8961651934153645,3.8961651934153645,3.901887401855107,3.901887401855107,3.901887401855107,3.901887401855107,3.9076096102948488,3.9076096102948488,3.9076096102948488,3.9133318187345907,3.9133318187345907,3.9190540271743326,3.9190540271743326,3.9190540271743326,3.9247762356140745,3.9247762356140745,3.9247762356140745,3.9247762356140745,3.936220652493559,3.936220652493559,3.936220652493559,3.936220652493559,3.936220652493559,3.936220652493559,3.936220652493559,3.936220652493559,3.9419428609333007,3.947665069373043,3.953387277812785,4.004887153770463,4.016331570649948,4.016331570649948,4.022053779089689,4.027775987529432,4.027775987529432,4.027775987529432,4.033498195969173,4.050664821288399,4.056387029728142,4.056387029728142,4.07927586348711,4.07927586348711,4.07927586348711,4.07927586348711,4.102164697246078,4.102164697246078,4.10788690568582,4.113609114125563,4.119331322565304,4.130775739444788,4.130775739444788,4.13649794788453,4.142220156324273,4.147942364764014,4.147942364764014,4.147942364764014,4.16510899008324,4.16510899008324,4.170831198522983,4.170831198522983,4.187997823842208,4.199442240721693,4.199442240721693,4.2108866576011765,4.2108866576011765,4.216608866040919,4.228053282920403,4.228053282920403,4.228053282920403,4.239497699799887,4.250942116679371,4.262386533558855,4.2681087419985975,4.279553158878081,4.285275367317823,4.290997575757565,4.308164201076791,4.308164201076791,4.313886409516534,4.313886409516534,4.319608617956275,4.336775243275501,4.336775243275501,4.348219660154986,4.35966407703447,4.365386285474212,4.376830702353696,4.38827511923318,4.393997327672922,4.399719536112664,4.399719536112664,4.405441744552406,4.405441744552406,4.411163952992148,4.41688616143189,4.41688616143189,4.439774995190858,4.485552662708795,4.491274871148537,4.502719288028021,4.502719288028021,4.502719288028021,4.514163704907505,4.519885913347247,4.531330330226731,4.531330330226731,4.565663580865183,4.571385789304925,4.577107997744667,4.577107997744667,4.588552414624151,4.594274623063893,4.622885665262603,4.634330082142087,4.6400522905818296,4.657218915901056,4.674385541220282,4.720163208738218,4.783107501575381,4.8689406281715115,4.891829461930479,4.926162712568932,4.954773754767642,4.971940380086868,4.994829213845836,5.011995839165062,5.023440256044546,5.069217923562483,5.103551174200934,5.1378844248393865,5.177939883917581,5.269495218953454,5.280939635832938,5.298106261152164,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068,5.366772762429068],\"yaxis\":\"y\"}], {\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"ZN\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#f2f5fa\"},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"rgb(17,17,17)\",\"plot_bgcolor\":\"rgb(17,17,17)\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"DIS\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('3ca0e60a-7a39-456b-a647-bf3410ca24ea');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.scatter (df, x = \"MEDV\", y = \"DIS\", color = \"ZN\", template = \"plotly_dark\", trendline=\"ols\")\n", "fig.show ()" ] }, { "cell_type": "code", "execution_count": 26, "id": "c0ff22cd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:25.944475Z", "iopub.status.busy": "2021-08-07T18:37:25.943395Z", "iopub.status.idle": "2021-08-07T18:37:26.087328Z", "shell.execute_reply": "2021-08-07T18:37:26.087848Z", "shell.execute_reply.started": "2021-08-07T18:36:33.929017Z" }, "papermill": { "duration": 0.217894, "end_time": "2021-08-07T18:37:26.088014", "exception": false, "start_time": "2021-08-07T18:37:25.870120", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"0f5085b6-7c41-4189-b730-ce211c4e1324\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"0f5085b6-7c41-4189-b730-ce211c4e1324\")) { Plotly.newPlot( \"0f5085b6-7c41-4189-b730-ce211c4e1324\", [{\"hovertemplate\":\"MEDV=%{x}<br>AGE=%{y}<br>ZN=%{marker.color}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":[18.0,0.0,0.0,0.0,0.0,0.0,12.5,12.5,12.5,12.5,12.5,12.5,12.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,21.0,21.0,21.0,75.0,90.0,85.0,100.0,25.0,25.0,25.0,25.0,25.0,25.0,17.5,80.0,80.0,12.5,12.5,12.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,25.0,25.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,28.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,45.0,45.0,45.0,45.0,45.0,45.0,60.0,60.0,80.0,80.0,80.0,80.0,95.0,95.0,82.5,82.5,95.0,95.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,30.0,30.0,30.0,30.0,30.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,80.0,80.0,90.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,40.0,40.0,40.0,40.0,40.0,20.0,20.0,20.0,20.0,90.0,90.0,55.0,80.0,52.5,52.5,52.5,80.0,80.0,80.0,0.0,0.0,0.0,0.0,0.0,70.0,70.0,70.0,34.0,34.0,34.0,33.0,33.0,33.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,55.0,55.0,0.0,0.0,85.0,80.0,40.0,40.0,60.0,60.0,90.0,80.0,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],\"coloraxis\":\"coloraxis\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[24.0,21.6,34.7,33.4,36.2,28.7,22.9,27.1,16.5,18.9,15.0,18.9,21.7,20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,18.9,20.0,21.0,24.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,19.7,20.5,25.0,23.4,18.9,35.4,24.7,31.6,23.3,19.6,18.7,16.0,22.2,25.0,33.0,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,24.1,21.4,20.0,20.8,21.2,20.3,28.0,23.9,24.8,22.9,23.9,26.6,22.5,22.2,23.6,28.7,22.6,22.0,22.9,25.0,20.6,28.4,21.4,38.7,43.8,33.2,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,22.0,20.3,20.5,17.3,18.8,21.4,15.7,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,13.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,15.3,19.4,17.0,15.6,13.1,41.3,24.3,23.3,27.0,50.0,50.0,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,32.0,29.8,34.9,37.0,30.5,36.4,31.1,29.1,50.0,33.3,30.3,34.6,34.9,32.9,24.1,42.3,48.5,50.0,22.6,24.4,22.5,24.4,20.0,21.7,19.3,22.4,28.1,23.7,25.0,23.3,28.7,21.5,23.0,26.7,21.7,27.5,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,29.0,24.0,25.1,31.5,23.7,23.3,22.0,20.1,22.2,23.7,17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,21.9,20.9,44.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,20.7,21.1,25.2,24.4,35.2,32.4,32.0,33.2,33.1,29.1,35.1,45.4,35.4,46.0,50.0,32.2,22.0,20.1,23.2,22.3,24.8,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.5,29.0,24.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,19.3,22.6,19.8,17.1,19.4,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,32.7,16.5,23.9,31.2,17.5,17.2,23.1,24.5,26.6,22.9,24.1,18.6,30.1,18.2,20.6,17.8,21.7,22.7,22.6,25.0,19.9,20.8,16.8,21.9,27.5,21.9,23.1,50.0,50.0,50.0,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6,15.2,7.0,8.1,13.6,20.1,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8,22.4,20.6,23.9,22.0,11.9],\"xaxis\":\"x\",\"y\":[65.2,78.9,61.1,45.8,54.2,58.7,66.6,96.1,100.0,85.9,94.3,82.9,39.0,61.8,84.5,56.5,29.3,81.7,36.6,69.5,98.1,89.2,91.7,100.0,94.1,85.7,90.3,88.8,94.4,87.3,94.1,100.0,82.0,95.0,96.9,68.2,61.4,41.5,30.2,21.8,15.8,2.9,6.6,6.5,40.0,33.8,33.3,85.5,95.3,62.0,45.7,63.0,21.1,21.4,47.6,21.9,35.7,40.5,29.2,47.2,66.2,93.4,67.8,43.4,59.5,17.8,31.1,21.4,36.8,33.0,6.6,17.5,7.8,6.2,6.0,45.0,74.5,45.8,53.7,36.6,33.5,70.4,32.2,46.7,48.0,56.1,45.1,56.8,86.3,63.1,66.1,73.9,53.6,28.9,77.3,57.8,69.6,76.0,36.9,62.5,79.9,71.3,85.4,87.4,90.0,96.7,91.9,85.2,97.1,91.2,54.4,81.6,92.9,95.4,84.2,88.2,72.5,82.6,73.1,65.2,69.7,84.1,92.9,97.0,95.8,88.4,95.6,96.0,98.8,94.7,98.9,97.7,97.9,95.4,98.4,98.2,93.5,98.4,98.2,97.9,93.6,100.0,100.0,100.0,97.8,100.0,100.0,95.7,93.8,94.9,97.3,100.0,88.0,98.5,96.0,82.6,94.0,97.4,100.0,100.0,92.6,90.8,98.2,93.9,91.8,93.0,96.2,79.2,96.1,95.2,94.6,97.3,88.5,84.1,68.7,33.1,47.2,73.4,74.4,58.4,83.3,62.2,92.2,95.6,89.8,68.8,53.6,41.1,29.1,38.9,21.5,30.8,26.3,9.9,18.8,32.0,34.1,36.6,38.3,15.3,13.9,38.4,15.7,33.2,31.9,22.3,52.5,72.7,59.1,100.0,92.1,88.6,53.8,32.3,9.8,42.4,56.0,85.1,93.8,92.4,88.5,91.3,77.7,80.8,78.3,83.0,86.5,79.9,17.0,21.4,68.1,76.9,73.3,70.4,66.5,61.5,76.5,71.6,18.5,42.2,54.3,65.1,52.9,7.8,76.5,70.2,34.9,79.2,49.1,17.5,13.0,8.9,6.8,8.4,32.0,19.1,34.2,86.9,100.0,100.0,81.8,89.4,91.5,94.5,91.6,62.8,84.6,67.0,52.6,61.5,42.1,16.3,58.7,51.8,32.9,42.8,49.0,27.6,32.1,32.2,64.5,37.2,49.7,24.8,20.8,31.9,31.5,31.3,45.6,22.9,27.9,27.7,23.4,18.4,42.3,31.1,51.0,58.0,20.1,10.0,47.4,40.4,18.4,17.7,41.1,58.1,71.9,70.3,82.5,76.7,37.8,52.8,90.4,82.8,87.3,77.7,83.2,71.7,67.2,58.8,52.3,54.3,49.9,74.3,40.1,14.7,28.9,43.7,25.8,17.2,32.2,28.4,23.3,38.1,38.5,34.5,46.3,59.6,37.3,45.4,58.5,49.3,59.7,56.4,28.1,48.5,52.3,27.7,29.7,34.5,44.4,35.9,18.5,36.1,21.9,19.5,97.4,91.0,83.4,81.3,88.0,91.1,96.2,89.0,82.9,87.9,91.4,100.0,100.0,96.8,97.5,100.0,89.6,100.0,100.0,97.9,93.3,98.8,96.2,100.0,91.9,99.1,100.0,100.0,91.2,98.1,100.0,89.5,100.0,98.9,97.0,82.5,97.0,92.6,94.7,98.8,96.0,98.9,100.0,77.8,100.0,100.0,100.0,96.0,85.4,100.0,100.0,100.0,97.9,100.0,100.0,100.0,100.0,100.0,100.0,100.0,90.8,89.1,100.0,76.5,100.0,95.3,87.6,85.1,70.6,95.4,59.7,78.7,78.1,95.6,86.1,94.3,74.8,87.9,95.0,94.6,93.3,100.0,87.9,93.9,92.4,97.2,100.0,100.0,96.6,94.8,96.4,96.6,98.7,98.3,92.6,98.2,91.8,99.3,94.1,86.5,87.9,80.3,83.7,84.4,90.0,88.4,83.0,89.9,65.4,48.2,84.7,94.5,71.0,56.7,84.0,90.7,75.0,67.6,95.4,97.4,93.6,97.3,96.7,88.0,64.7,74.9,77.0,40.3,41.9,51.9,79.8,53.2,92.7,98.3,98.0,98.8,83.5,54.0,42.6,28.8,72.9,70.6,65.3,73.5,79.7,69.1,76.7,91.0,89.3,80.8],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>LOWESS trendline</b><br><br>MEDV=%{x}<br>AGE=%{y} <b>(trend)</b><extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[5.0,5.0,5.6,6.3,7.0,7.0,7.2,7.2,7.2,7.4,7.5,8.1,8.3,8.3,8.4,8.4,8.5,8.5,8.7,8.8,8.8,9.5,9.6,9.7,10.2,10.2,10.2,10.4,10.4,10.5,10.5,10.8,10.9,10.9,11.0,11.3,11.5,11.7,11.7,11.8,11.8,11.9,11.9,12.0,12.1,12.3,12.5,12.6,12.7,12.7,12.7,12.8,13.0,13.1,13.1,13.1,13.1,13.2,13.3,13.3,13.3,13.4,13.4,13.4,13.4,13.5,13.5,13.6,13.6,13.8,13.8,13.8,13.8,13.8,13.9,13.9,14.0,14.1,14.1,14.1,14.2,14.3,14.3,14.4,14.4,14.5,14.5,14.5,14.6,14.6,14.8,14.9,14.9,14.9,15.0,15.0,15.0,15.1,15.2,15.2,15.2,15.3,15.4,15.4,15.6,15.6,15.6,15.6,15.6,15.7,16.0,16.1,16.1,16.1,16.2,16.2,16.3,16.4,16.5,16.5,16.6,16.6,16.7,16.7,16.8,16.8,17.0,17.1,17.1,17.1,17.2,17.2,17.2,17.3,17.4,17.4,17.4,17.5,17.5,17.5,17.6,17.7,17.8,17.8,17.8,17.8,17.8,17.9,18.0,18.1,18.2,18.2,18.2,18.3,18.3,18.4,18.4,18.4,18.5,18.5,18.5,18.5,18.6,18.6,18.7,18.7,18.7,18.8,18.8,18.9,18.9,18.9,18.9,19.0,19.0,19.1,19.1,19.1,19.1,19.2,19.2,19.3,19.3,19.3,19.3,19.3,19.4,19.4,19.4,19.4,19.4,19.4,19.5,19.5,19.5,19.5,19.6,19.6,19.6,19.6,19.6,19.7,19.7,19.8,19.8,19.8,19.9,19.9,19.9,19.9,20.0,20.0,20.0,20.0,20.0,20.1,20.1,20.1,20.1,20.1,20.2,20.2,20.3,20.3,20.3,20.3,20.4,20.4,20.4,20.4,20.5,20.5,20.5,20.6,20.6,20.6,20.6,20.6,20.6,20.7,20.7,20.8,20.8,20.8,20.9,20.9,21.0,21.0,21.0,21.1,21.1,21.2,21.2,21.2,21.2,21.2,21.4,21.4,21.4,21.4,21.4,21.5,21.5,21.6,21.6,21.7,21.7,21.7,21.7,21.7,21.7,21.7,21.8,21.8,21.9,21.9,21.9,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.1,22.2,22.2,22.2,22.2,22.2,22.3,22.3,22.4,22.4,22.5,22.5,22.5,22.6,22.6,22.6,22.6,22.6,22.7,22.7,22.8,22.8,22.8,22.8,22.9,22.9,22.9,22.9,23.0,23.0,23.0,23.0,23.1,23.1,23.1,23.1,23.1,23.1,23.1,23.2,23.2,23.2,23.2,23.3,23.3,23.3,23.3,23.4,23.4,23.5,23.6,23.6,23.7,23.7,23.7,23.7,23.8,23.8,23.8,23.8,23.9,23.9,23.9,23.9,23.9,24.0,24.0,24.1,24.1,24.1,24.2,24.3,24.3,24.3,24.4,24.4,24.4,24.4,24.5,24.5,24.5,24.6,24.6,24.7,24.7,24.7,24.8,24.8,24.8,24.8,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.1,25.2,25.3,26.2,26.4,26.4,26.5,26.6,26.6,26.6,26.7,27.0,27.1,27.1,27.5,27.5,27.5,27.5,27.9,27.9,28.0,28.1,28.2,28.4,28.4,28.5,28.6,28.7,28.7,28.7,29.0,29.0,29.1,29.1,29.4,29.6,29.6,29.8,29.8,29.9,30.1,30.1,30.1,30.3,30.5,30.7,30.8,31.0,31.1,31.2,31.5,31.5,31.6,31.6,31.7,32.0,32.0,32.2,32.4,32.5,32.7,32.9,33.0,33.1,33.1,33.2,33.2,33.3,33.4,33.4,33.8,34.6,34.7,34.9,34.9,34.9,35.1,35.2,35.4,35.4,36.0,36.1,36.2,36.2,36.4,36.5,37.0,37.2,37.3,37.6,37.9,38.7,39.8,41.3,41.7,42.3,42.8,43.1,43.5,43.8,44.0,44.8,45.4,46.0,46.7,48.3,48.5,48.8,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0],\"xaxis\":\"x\",\"y\":[102.00936218845129,102.00936218845129,101.39792907639811,100.6589486641679,99.88804327544851,99.88804327544851,99.66135796862793,99.66135796862793,99.66135796862793,99.43164471359074,99.31562272214482,98.6025881955694,98.35827164519311,98.35827164519311,98.2348315090652,98.2348315090652,98.11052787980836,98.11052787980836,97.85932845525718,97.7324370855046,97.7324370855046,96.82044568467796,96.68683514263957,96.55241461434024,95.86852156928533,95.86852156928533,95.86852156928533,95.58969204822903,95.58969204822903,95.4492117066598,95.4492117066598,95.02377181642963,94.88070717973332,94.88070717973332,94.73706116539144,94.3029606901459,94.01129787632345,93.71819966000182,93.71819966000182,93.57121922320992,93.57121922320992,93.42401391544668,93.42401391544668,93.27663324007847,93.12912838035662,92.83395156476706,92.53888617865675,92.39151374341525,92.24430482235859,92.24430482235859,92.24430482235859,92.09729513475789,91.80397850004843,91.65769795871574,91.65769795871574,91.65769795871574,91.65769795871574,91.51166229139122,91.36584110459107,91.36584110459107,91.36584110459107,91.22018180302115,91.22018180302115,91.22018180302115,91.22018180302115,91.07460262685457,91.07460262685457,90.92899035037992,90.92899035037992,90.63704872703013,90.63704872703013,90.63704872703013,90.63704872703013,90.63704872703013,90.49032393240599,90.49032393240599,90.34278004204252,90.19416047569948,90.19416047569948,90.19416047569948,90.04422338863174,89.89278289119963,89.89278289119963,89.73976156359136,89.73976156359136,89.58493251141758,89.58493251141758,89.58493251141758,89.42779703345671,89.42779703345671,89.1044732787478,88.9369210690148,88.9369210690148,88.9369210690148,88.76452256382662,88.76452256382662,88.76452256382662,88.51938864088277,88.33500499594835,88.33500499594835,88.33500499594835,88.14382797128376,87.94533009945886,87.94533009945886,87.45987546049531,87.45987546049531,87.45987546049531,87.45987546049531,87.45987546049531,87.23983191263186,86.53208725223624,86.27999259224634,86.27999259224634,86.27999259224634,85.95789563345629,85.95789563345629,85.63047946869352,85.29803327140273,84.9607267745073,84.9607267745073,84.67985231023944,84.67985231023944,84.39338216578709,84.39338216578709,84.1003625207151,84.1003625207151,83.43377338692034,83.11935836738282,83.11935836738282,83.11935836738282,82.79688043171481,82.79688043171481,82.79688043171481,82.46637658469531,82.07670573780568,82.07670573780568,82.07670573780568,81.68333004976519,81.68333004976519,81.68333004976519,81.2864922460432,80.93386789368179,80.57579232966272,80.57579232966272,80.57579232966272,80.57579232966272,80.57579232966272,80.16659319132461,79.79920981103102,79.42619553467486,79.04709643723129,79.04709643723129,79.04709643723129,78.62066726636795,78.62066726636795,78.19114475183362,78.19114475183362,78.19114475183362,77.79707730062232,77.79707730062232,77.79707730062232,77.79707730062232,77.39667078829713,77.39667078829713,76.95330117294387,76.95330117294387,76.95330117294387,76.5378680856171,76.5378680856171,76.08333214576298,76.08333214576298,76.08333214576298,76.08333214576298,75.62440092318187,75.62440092318187,75.13706751012373,75.13706751012373,75.13706751012373,75.13706751012373,74.64926397525136,74.64926397525136,74.16058777570707,74.16058777570707,74.16058777570707,74.16058777570707,74.16058777570707,73.67076267098352,73.67076267098352,73.67076267098352,73.67076267098352,73.67076267098352,73.67076267098352,73.1796274023356,73.1796274023356,73.1796274023356,73.1796274023356,72.70664268006138,72.70664268006138,72.70664268006138,72.70664268006138,72.70664268006138,72.2294614758473,72.2294614758473,71.74815093456964,71.74815093456964,71.74815093456964,71.2629116346448,71.2629116346448,71.2629116346448,71.2629116346448,70.76223769441872,70.76223769441872,70.76223769441872,70.76223769441872,70.76223769441872,70.27184470022175,70.27184470022175,70.27184470022175,70.27184470022175,70.27184470022175,69.77840593309308,69.77840593309308,69.27537016036526,69.27537016036526,69.27537016036526,69.27537016036526,68.77400419270671,68.77400419270671,68.77400419270671,68.77400419270671,68.27828959931465,68.27828959931465,68.27828959931465,67.78169837810256,67.78169837810256,67.78169837810256,67.78169837810256,67.78169837810256,67.78169837810256,67.2877118192824,67.2877118192824,66.80131856470848,66.80131856470848,66.80131856470848,66.31271890308422,66.31271890308422,65.84117417068832,65.84117417068832,65.84117417068832,65.34292387698855,65.34292387698855,64.88554803261732,64.88554803261732,64.88554803261732,64.88554803261732,64.88554803261732,63.979986789817204,63.979986789817204,63.979986789817204,63.979986789817204,63.979986789817204,63.52497703331729,63.52497703331729,63.07739871619309,63.07739871619309,62.68292949687801,62.68292949687801,62.68292949687801,62.68292949687801,62.68292949687801,62.68292949687801,62.68292949687801,62.25643457652104,62.25643457652104,61.89220645736806,61.89220645736806,61.89220645736806,61.487820096339384,61.487820096339384,61.487820096339384,61.487820096339384,61.487820096339384,61.487820096339384,61.487820096339384,61.093066986375966,60.70817426109978,60.70817426109978,60.70817426109978,60.70817426109978,60.70817426109978,60.39691557765209,60.39691557765209,60.034472764858464,60.034472764858464,59.74943217210153,59.74943217210153,59.74943217210153,59.40991663189862,59.40991663189862,59.40991663189862,59.40991663189862,59.40991663189862,59.081038055969664,59.081038055969664,58.762801958055505,58.762801958055505,58.762801958055505,58.762801958055505,58.52658797544033,58.52658797544033,58.52658797544033,58.52658797544033,58.300945562041406,58.300945562041406,58.300945562041406,58.300945562041406,58.01445060900881,58.01445060900881,58.01445060900881,58.01445060900881,58.01445060900881,58.01445060900881,58.01445060900881,57.80748875159286,57.80748875159286,57.80748875159286,57.80748875159286,57.539235579787054,57.539235579787054,57.539235579787054,57.539235579787054,57.27958214255821,57.27958214255821,57.094574977484974,56.915163467548986,56.915163467548986,56.614595851699534,56.614595851699534,56.614595851699534,56.614595851699534,56.449420003728946,56.449420003728946,56.449420003728946,56.449420003728946,56.28956602706158,56.28956602706158,56.28956602706158,56.28956602706158,56.28956602706158,56.01466804785406,56.01466804785406,55.86667823456817,55.86667823456817,55.86667823456817,55.722043910388024,55.580439688970856,55.580439688970856,55.580439688970856,55.38849676985859,55.38849676985859,55.38849676985859,55.38849676985859,55.15100451448224,55.15100451448224,55.15100451448224,54.97206174937534,54.97206174937534,54.7982894356266,54.7982894356266,54.7982894356266,54.62944283680151,54.62944283680151,54.62944283680151,54.62944283680151,54.39089317728862,54.39089317728862,54.39089317728862,54.39089317728862,54.39089317728862,54.39089317728862,54.39089317728862,54.39089317728862,54.2326794088049,54.119126837271196,54.00774590575196,52.91118972338312,52.709507237675496,52.709507237675496,52.562557380481884,52.44077094327556,52.44077094327556,52.44077094327556,52.338658133908524,52.01373961880216,51.91314514631668,51.91314514631668,51.499120319312404,51.499120319312404,51.499120319312404,51.499120319312404,51.1541450049061,51.1541450049061,51.0768049887636,50.98326155998793,50.91274019206306,50.78432135332996,50.78432135332996,50.72635808078053,50.67225096285925,50.62168339692573,50.62168339692573,50.62168339692573,50.49134038875712,50.49134038875712,50.45494496741547,50.45494496741547,50.36405422206509,50.316756266299286,50.316756266299286,50.25538525726761,50.25538525726761,50.242871325652,50.20238941924596,50.20238941924596,50.20238941924596,50.17582947003122,50.18863862454254,50.211714083190934,50.22710075296797,50.26539187432266,50.28785340014573,50.31209150739818,50.3736623830648,50.3736623830648,50.40381510393533,50.40381510393533,50.41736432286809,50.52087913896778,50.52087913896778,50.58141091221633,50.66201967034324,50.69089330348133,50.77697904618157,50.86277313714381,50.90489547616149,50.946219628201476,50.946219628201476,50.98657834509844,50.98657834509844,51.02584629073035,51.06405512481767,51.06405512481767,51.21045101146118,51.53055528445641,51.580245909290724,51.71110154646974,51.71110154646974,51.71110154646974,51.89340473391532,52.00473147303825,52.264990019803676,52.264990019803676,53.2611794631028,53.445095332981964,53.63110600399206,53.63110600399206,54.0060216878528,54.193528644374695,55.11283265136715,55.467046704078065,55.64072093054092,56.14770651869173,56.634162468656854,57.843771785002104,59.35537314711259,61.25932641670687,61.75023822801637,62.4788577626608,63.080886819005,63.44053584156897,63.918831991009924,64.27692670282583,64.51547436511055,65.46960059809261,66.18676149120691,66.90662550368688,67.75119335539517,69.70856695815009,69.95650046514199,70.32995093389587,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126,71.84413207588126],\"yaxis\":\"y\"}], {\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"ZN\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#f2f5fa\"},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"rgb(17,17,17)\",\"plot_bgcolor\":\"rgb(17,17,17)\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"AGE\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('0f5085b6-7c41-4189-b730-ce211c4e1324');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.scatter (df, x = \"MEDV\", y = \"AGE\", color = \"ZN\", template = \"plotly_dark\", trendline=\"lowess\")\n", "fig.show ()" ] }, { "cell_type": "code", "execution_count": 27, "id": "a85580e6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:26.246886Z", "iopub.status.busy": "2021-08-07T18:37:26.245675Z", "iopub.status.idle": "2021-08-07T18:37:26.383630Z", "shell.execute_reply": "2021-08-07T18:37:26.384129Z", "shell.execute_reply.started": "2021-08-07T18:36:34.307933Z" }, "papermill": { "duration": 0.224542, "end_time": "2021-08-07T18:37:26.384316", "exception": false, "start_time": "2021-08-07T18:37:26.159774", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div> <div id=\"1de4bb25-18bc-42cb-9d29-db51b613f1d7\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV \|\| {}; if (document.getElementById(\"1de4bb25-18bc-42cb-9d29-db51b613f1d7\")) { Plotly.newPlot( \"1de4bb25-18bc-42cb-9d29-db51b613f1d7\", [{\"hovertemplate\":\"MEDV=%{x}<br>DIS=%{y}<br>RAD=%{marker.color}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":[1,2,2,3,3,3,5,5,5,5,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,3,5,2,5,8,8,8,8,8,8,3,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,4,4,4,4,3,3,3,3,2,2,2,2,4,4,4,2,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,2,2,2,2,2,2,2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,3,3,3,3,3,3,3,3,5,5,5,5,5,5,1,1,4,2,2,2,3,3,2,2,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,1,1,3,5,5,5,5,5,5,5,5,5,5,5,5,3,3,3,3,3,4,4,4,4,4,5,5,5,5,1,1,1,1,6,6,6,4,4,4,4,4,4,4,4,5,5,5,7,7,7,7,7,7,7,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,4,4,4,1,1,5,5,5,5,5,5,5,5,1,1,5,5,3,3,4,4,1,1,4,4,5,4,4,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,4,4,4,4,4,6,6,6,6,6,6,6,6,1,1,1,1,1],\"coloraxis\":\"coloraxis\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[24.0,21.6,34.7,33.4,36.2,28.7,22.9,27.1,16.5,18.9,15.0,18.9,21.7,20.4,18.2,19.9,23.1,17.5,20.2,18.2,13.6,19.6,15.2,14.5,15.6,13.9,16.6,14.8,18.4,21.0,12.7,14.5,13.2,13.1,13.5,18.9,20.0,21.0,24.7,30.8,34.9,26.6,25.3,24.7,21.2,19.3,20.0,16.6,14.4,19.4,19.7,20.5,25.0,23.4,18.9,35.4,24.7,31.6,23.3,19.6,18.7,16.0,22.2,25.0,33.0,23.5,19.4,22.0,17.4,20.9,24.2,21.7,22.8,23.4,24.1,21.4,20.0,20.8,21.2,20.3,28.0,23.9,24.8,22.9,23.9,26.6,22.5,22.2,23.6,28.7,22.6,22.0,22.9,25.0,20.6,28.4,21.4,38.7,43.8,33.2,27.5,26.5,18.6,19.3,20.1,19.5,19.5,20.4,19.8,19.4,21.7,22.8,18.8,18.7,18.5,18.3,21.2,19.2,20.4,19.3,22.0,20.3,20.5,17.3,18.8,21.4,15.7,16.2,18.0,14.3,19.2,19.6,23.0,18.4,15.6,18.1,17.4,17.1,13.3,17.8,14.0,14.4,13.4,15.6,11.8,13.8,15.6,14.6,17.8,15.4,21.5,19.6,15.3,19.4,17.0,15.6,13.1,41.3,24.3,23.3,27.0,50.0,50.0,50.0,22.7,25.0,50.0,23.8,23.8,22.3,17.4,19.1,23.1,23.6,22.6,29.4,23.2,24.6,29.9,37.2,39.8,36.2,37.9,32.5,26.4,29.6,50.0,32.0,29.8,34.9,37.0,30.5,36.4,31.1,29.1,50.0,33.3,30.3,34.6,34.9,32.9,24.1,42.3,48.5,50.0,22.6,24.4,22.5,24.4,20.0,21.7,19.3,22.4,28.1,23.7,25.0,23.3,28.7,21.5,23.0,26.7,21.7,27.5,30.1,44.8,50.0,37.6,31.6,46.7,31.5,24.3,31.7,41.7,48.3,29.0,24.0,25.1,31.5,23.7,23.3,22.0,20.1,22.2,23.7,17.6,18.5,24.3,20.5,24.5,26.2,24.4,24.8,29.6,42.8,21.9,20.9,44.0,50.0,36.0,30.1,33.8,43.1,48.8,31.0,36.5,22.8,30.7,50.0,43.5,20.7,21.1,25.2,24.4,35.2,32.4,32.0,33.2,33.1,29.1,35.1,45.4,35.4,46.0,50.0,32.2,22.0,20.1,23.2,22.3,24.8,28.5,37.3,27.9,23.9,21.7,28.6,27.1,20.3,22.5,29.0,24.8,22.0,26.4,33.1,36.1,28.4,33.4,28.2,22.8,20.3,16.1,22.1,19.4,21.6,23.8,16.2,17.8,19.8,23.1,21.0,23.8,23.1,20.4,18.5,25.0,24.6,23.0,22.2,19.3,22.6,19.8,17.1,19.4,22.2,20.7,21.1,19.5,18.5,20.6,19.0,18.7,32.7,16.5,23.9,31.2,17.5,17.2,23.1,24.5,26.6,22.9,24.1,18.6,30.1,18.2,20.6,17.8,21.7,22.7,22.6,25.0,19.9,20.8,16.8,21.9,27.5,21.9,23.1,50.0,50.0,50.0,50.0,50.0,13.8,13.8,15.0,13.9,13.3,13.1,10.2,10.4,10.9,11.3,12.3,8.8,7.2,10.5,7.4,10.2,11.5,15.1,23.2,9.7,13.8,12.7,13.1,12.5,8.5,5.0,6.3,5.6,7.2,12.1,8.3,8.5,5.0,11.9,27.9,17.2,27.5,15.0,17.2,17.9,16.3,7.0,7.2,7.5,10.4,8.8,8.4,16.7,14.2,20.8,13.4,11.7,8.3,10.2,10.9,11.0,9.5,14.5,14.1,16.1,14.3,11.7,13.4,9.6,8.7,8.4,12.8,10.5,17.1,18.4,15.4,10.8,11.8,14.9,12.6,14.1,13.0,13.4,15.2,16.1,17.8,14.9,14.1,12.7,13.5,14.9,20.0,16.4,17.7,19.5,20.2,21.4,19.9,19.0,19.1,19.1,20.1,19.9,19.6,23.2,29.8,13.8,13.3,16.7,12.0,14.6,21.4,23.0,23.7,25.0,21.8,20.6,21.2,19.1,20.6,15.2,7.0,8.1,13.6,20.1,21.8,24.5,23.1,19.7,18.3,21.2,17.5,16.8,22.4,20.6,23.9,22.0,11.9],\"xaxis\":\"x\",\"y\":[4.09,4.9671,4.9671,6.0622,6.0622,6.0622,5.5605,5.9505,6.0821,6.5921,6.3467,6.2267,5.4509,4.7075,4.4619,4.4986,4.4986,4.2579,3.7965,3.7965,3.7979,4.0123,3.9769,4.0952,4.3996,4.4546,4.682,4.4534,4.4547,4.239,4.233,4.175,3.99,3.7872,3.7598,3.3603,3.3779,3.9342,3.8473,5.4011,5.4011,5.7209,5.7209,5.7209,5.7209,5.1004,5.1004,5.6894,5.87,6.0877,6.8147,6.8147,6.8147,6.8147,7.3197,8.6966,9.1876,8.3248,7.8148,6.932,7.2254,6.8185,7.2255,7.9809,9.2229,6.6115,6.6115,6.498,6.498,6.498,5.2873,5.2873,5.2873,5.2873,4.2515,4.5026,4.0522,4.0905,5.0141,4.5026,5.4007,5.4007,5.4007,5.4007,4.7794,4.4377,4.4272,3.7476,3.4217,3.4145,3.0923,3.0921,3.6659,3.6659,3.615,3.4952,3.4952,3.4952,3.4952,3.4952,2.7778,2.8561,2.7147,2.7147,2.421,2.1069,2.211,2.1224,2.4329,2.5451,2.7778,2.6775,2.3534,2.548,2.2565,2.4631,2.7301,2.7474,2.4775,2.7592,2.2577,2.1974,2.0869,1.9444,2.0063,1.9929,1.7572,1.7883,1.8125,1.9799,2.1185,2.271,2.3274,2.4699,2.346,2.1107,1.9669,1.8498,1.6686,1.6687,1.6119,1.4394,1.3216,1.4118,1.3459,1.4191,1.5166,1.4608,1.5296,1.5257,1.618,1.5916,1.6102,1.6232,1.7494,1.7455,1.7364,1.8773,1.7573,1.7659,1.7984,1.9709,2.0407,2.162,2.422,2.2834,2.0459,2.4259,2.1,2.2625,2.4259,2.3887,2.5961,2.6463,2.7019,3.1323,3.5549,3.3175,2.9153,2.829,2.741,2.5979,2.7006,2.847,2.9879,3.2797,3.1992,3.7886,4.5667,4.5667,6.4798,6.4798,6.4798,6.2196,6.2196,5.6484,7.309,7.309,7.309,7.6534,7.6534,6.27,6.27,5.118,5.118,3.9454,4.3549,4.3549,4.2392,3.875,3.8771,3.665,3.6526,3.9454,3.5875,3.9454,3.1121,3.4211,2.8893,3.3633,2.8617,3.048,3.2721,3.2721,2.8944,2.8944,3.2157,3.2157,3.3751,3.3751,3.6715,3.6715,3.8384,3.6519,3.6519,3.6519,4.148,4.148,6.1899,6.1899,6.3361,6.3361,7.0355,7.0355,7.9549,7.9549,8.0555,8.0555,7.8265,7.8265,7.3967,7.3967,8.9067,8.9067,9.2203,9.2203,6.3361,1.801,1.8946,2.0107,2.1121,2.1398,2.2885,2.0788,1.9301,1.9865,2.1329,2.4216,2.872,3.9175,4.429,4.429,3.9175,4.3665,4.0776,4.2673,4.7872,4.8628,4.1403,4.1007,4.6947,5.2447,5.2119,5.885,7.3073,7.3073,9.0892,7.3172,7.3172,7.3172,5.1167,5.1167,5.1167,5.5027,5.5027,5.9604,5.9604,6.32,7.8278,7.8278,7.8278,5.4917,5.4917,5.4917,4.022,3.37,3.0992,3.1827,3.3175,3.1025,2.5194,2.6403,2.834,3.2628,3.6023,3.945,3.9986,4.0317,3.5325,4.0019,4.5404,4.5404,4.7211,4.7211,4.7211,5.4159,5.4159,5.4159,5.2146,5.2146,5.8736,6.6407,6.6407,6.4584,6.4584,5.9853,5.2311,5.615,4.8122,4.8122,4.8122,7.0379,6.2669,5.7321,6.4654,8.0136,8.0136,8.5353,8.344,8.7921,8.7921,10.7103,10.7103,12.1265,10.5857,10.5857,2.1222,2.5052,2.7227,2.5091,2.5182,2.2955,2.1036,1.9047,1.9047,1.6132,1.7523,1.5106,1.3325,1.3567,1.2024,1.1691,1.1296,1.1742,1.137,1.3163,1.3449,1.358,1.3861,1.3861,1.4165,1.5192,1.5804,1.5331,1.4395,1.4261,1.4672,1.5184,1.5895,1.7281,1.9265,2.1678,1.77,1.7912,1.7821,1.7257,1.6768,1.6334,1.4896,1.5004,1.5888,1.5741,1.639,1.7028,1.6074,1.4254,1.1781,1.2852,1.4547,1.4655,1.413,1.5275,1.5539,1.5894,1.6582,1.8347,1.8195,1.6475,1.8026,1.794,1.8589,1.8746,1.9512,2.0218,2.0635,1.9096,1.9976,1.8629,1.9356,1.9682,2.0527,2.0882,2.2004,2.3158,2.2222,2.1247,2.0026,1.9142,1.8206,1.8172,1.8662,2.0651,2.0048,1.9784,1.8956,1.9879,2.072,2.198,2.2616,2.185,2.3236,2.3552,2.3682,2.4527,2.4961,2.4358,2.5806,2.7792,2.7831,2.7175,2.5975,2.5671,2.7344,2.8016,2.9634,3.0665,2.8715,2.5403,2.9084,2.8237,3.0334,3.0993,2.8965,2.5329,2.4298,2.206,2.3053,2.1007,2.1705,1.9512,3.4242,3.3317,3.4106,4.0983,3.724,3.9917,3.5459,3.1523,1.8209,1.7554,1.8226,1.8681,2.1099,2.3817,2.3817,2.7986,2.7986,2.8927,2.4091,2.3999,2.4982,2.4786,2.2875,2.1675,2.3889,2.505],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>LOWESS trendline</b><br><br>MEDV=%{x}<br>DIS=%{y} <b>(trend)</b><extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[5.0,5.0,5.6,6.3,7.0,7.0,7.2,7.2,7.2,7.4,7.5,8.1,8.3,8.3,8.4,8.4,8.5,8.5,8.7,8.8,8.8,9.5,9.6,9.7,10.2,10.2,10.2,10.4,10.4,10.5,10.5,10.8,10.9,10.9,11.0,11.3,11.5,11.7,11.7,11.8,11.8,11.9,11.9,12.0,12.1,12.3,12.5,12.6,12.7,12.7,12.7,12.8,13.0,13.1,13.1,13.1,13.1,13.2,13.3,13.3,13.3,13.4,13.4,13.4,13.4,13.5,13.5,13.6,13.6,13.8,13.8,13.8,13.8,13.8,13.9,13.9,14.0,14.1,14.1,14.1,14.2,14.3,14.3,14.4,14.4,14.5,14.5,14.5,14.6,14.6,14.8,14.9,14.9,14.9,15.0,15.0,15.0,15.1,15.2,15.2,15.2,15.3,15.4,15.4,15.6,15.6,15.6,15.6,15.6,15.7,16.0,16.1,16.1,16.1,16.2,16.2,16.3,16.4,16.5,16.5,16.6,16.6,16.7,16.7,16.8,16.8,17.0,17.1,17.1,17.1,17.2,17.2,17.2,17.3,17.4,17.4,17.4,17.5,17.5,17.5,17.6,17.7,17.8,17.8,17.8,17.8,17.8,17.9,18.0,18.1,18.2,18.2,18.2,18.3,18.3,18.4,18.4,18.4,18.5,18.5,18.5,18.5,18.6,18.6,18.7,18.7,18.7,18.8,18.8,18.9,18.9,18.9,18.9,19.0,19.0,19.1,19.1,19.1,19.1,19.2,19.2,19.3,19.3,19.3,19.3,19.3,19.4,19.4,19.4,19.4,19.4,19.4,19.5,19.5,19.5,19.5,19.6,19.6,19.6,19.6,19.6,19.7,19.7,19.8,19.8,19.8,19.9,19.9,19.9,19.9,20.0,20.0,20.0,20.0,20.0,20.1,20.1,20.1,20.1,20.1,20.2,20.2,20.3,20.3,20.3,20.3,20.4,20.4,20.4,20.4,20.5,20.5,20.5,20.6,20.6,20.6,20.6,20.6,20.6,20.7,20.7,20.8,20.8,20.8,20.9,20.9,21.0,21.0,21.0,21.1,21.1,21.2,21.2,21.2,21.2,21.2,21.4,21.4,21.4,21.4,21.4,21.5,21.5,21.6,21.6,21.7,21.7,21.7,21.7,21.7,21.7,21.7,21.8,21.8,21.9,21.9,21.9,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.1,22.2,22.2,22.2,22.2,22.2,22.3,22.3,22.4,22.4,22.5,22.5,22.5,22.6,22.6,22.6,22.6,22.6,22.7,22.7,22.8,22.8,22.8,22.8,22.9,22.9,22.9,22.9,23.0,23.0,23.0,23.0,23.1,23.1,23.1,23.1,23.1,23.1,23.1,23.2,23.2,23.2,23.2,23.3,23.3,23.3,23.3,23.4,23.4,23.5,23.6,23.6,23.7,23.7,23.7,23.7,23.8,23.8,23.8,23.8,23.9,23.9,23.9,23.9,23.9,24.0,24.0,24.1,24.1,24.1,24.2,24.3,24.3,24.3,24.4,24.4,24.4,24.4,24.5,24.5,24.5,24.6,24.6,24.7,24.7,24.7,24.8,24.8,24.8,24.8,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.1,25.2,25.3,26.2,26.4,26.4,26.5,26.6,26.6,26.6,26.7,27.0,27.1,27.1,27.5,27.5,27.5,27.5,27.9,27.9,28.0,28.1,28.2,28.4,28.4,28.5,28.6,28.7,28.7,28.7,29.0,29.0,29.1,29.1,29.4,29.6,29.6,29.8,29.8,29.9,30.1,30.1,30.1,30.3,30.5,30.7,30.8,31.0,31.1,31.2,31.5,31.5,31.6,31.6,31.7,32.0,32.0,32.2,32.4,32.5,32.7,32.9,33.0,33.1,33.1,33.2,33.2,33.3,33.4,33.4,33.8,34.6,34.7,34.9,34.9,34.9,35.1,35.2,35.4,35.4,36.0,36.1,36.2,36.2,36.4,36.5,37.0,37.2,37.3,37.6,37.9,38.7,39.8,41.3,41.7,42.3,42.8,43.1,43.5,43.8,44.0,44.8,45.4,46.0,46.7,48.3,48.5,48.8,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0,50.0],\"xaxis\":\"x\",\"y\":[1.076560381522262,1.076560381522262,1.1582744574019341,1.2549295862335594,1.353098216288361,1.353098216288361,1.3814362768198571,1.3814362768198571,1.3814362768198571,1.409905523652537,1.4241892500352464,1.5105691094721538,1.5396150604997445,1.5396150604997445,1.5541841253068776,1.5541841253068776,1.5687833378335434,1.5687833378335434,1.5980698557646558,1.6127558684062535,1.6127558684062535,1.716283964037907,1.731167089819144,1.7460707096267025,1.820855829140655,1.820855829140655,1.820855829140655,1.8508713725709645,1.8508713725709645,1.8658957999061432,1.8658957999061432,1.911021189745793,1.9260763812867072,1.9260763812867072,1.9411362348870034,1.9863318288910077,2.016463576892666,2.0465856784254073,2.0465856784254073,2.061640462875413,2.061640462875413,2.0766897524968897,2.0766897524968897,2.0917327594998754,2.1067688872035304,2.136819030877068,2.1668398643984634,2.18184065567646,2.196836651141072,2.196836651141072,2.196836651141072,2.2118296733939,2.241816309405269,2.256816577660377,2.256816577660377,2.256816577660377,2.256816577660377,2.271827471317658,2.28685485433064,2.28685485433064,2.28685485433064,2.3019056522219414,2.3019056522219414,2.3019056522219414,2.3019056522219414,2.316988370297409,2.316988370297409,2.332113154774784,2.332113154774784,2.362535040199171,2.362535040199171,2.362535040199171,2.362535040199171,2.362535040199171,2.3778577505691416,2.3778577505691416,2.3932737098611874,2.408796678170436,2.408796678170436,2.408796678170436,2.4244383771900484,2.440206169220974,2.440206169220974,2.456100455617065,2.456100455617065,2.4721300238520634,2.4721300238520634,2.4721300238520634,2.4883178537846167,2.4883178537846167,2.5212599597629763,2.538077874533925,2.538077874533925,2.538077874533925,2.5551715685778817,2.5551715685778817,2.5551715685778817,2.574161736728766,2.591785710949706,2.591785710949706,2.591785710949706,2.6097427868966108,2.6280331576529385,2.6280331576529385,2.6666018489938885,2.6666018489938885,2.6666018489938885,2.6666018489938885,2.6666018489938885,2.6856612363173746,2.7445052537608516,2.764625009309034,2.764625009309034,2.764625009309034,2.7854209523498388,2.7854209523498388,2.806224431008568,2.827026236237504,2.847820969434075,2.847820969434075,2.8683171667561895,2.8683171667561895,2.8888879093653306,2.8888879093653306,2.90953103432159,2.90953103432159,2.9511188669492996,2.971858294290843,2.971858294290843,2.971858294290843,2.9926168842297884,2.9926168842297884,2.9926168842297884,3.0133925601002134,3.034218254421055,3.034218254421055,3.034218254421055,3.0549973926715226,3.0549973926715226,3.0549973926715226,3.0757349859836056,3.0964957676936864,3.117266575403648,3.117266575403648,3.117266575403648,3.117266575403648,3.117266575403648,3.1379560391947705,3.1587441701499004,3.179579116647654,3.2004902096449617,3.2004902096449617,3.2004902096449617,3.221252272660583,3.221252272660583,3.242039011625557,3.242039011625557,3.242039011625557,3.2632037429557204,3.2632037429557204,3.2632037429557204,3.2632037429557204,3.2845637032449098,3.2845637032449098,3.3056089966629463,3.3056089966629463,3.3056089966629463,3.3273464545729605,3.3273464545729605,3.34859024331861,3.34859024331861,3.34859024331861,3.34859024331861,3.369892878930095,3.369892878930095,3.390516634087174,3.390516634087174,3.390516634087174,3.390516634087174,3.411228585575327,3.411228585575327,3.432041911388263,3.432041911388263,3.432041911388263,3.432041911388263,3.432041911388263,3.4529623026983423,3.4529623026983423,3.4529623026983423,3.4529623026983423,3.4529623026983423,3.4529623026983423,3.4739888837861934,3.4739888837861934,3.4739888837861934,3.4739888837861934,3.495540471938198,3.495540471938198,3.495540471938198,3.495540471938198,3.495540471938198,3.5171403400894174,3.5171403400894174,3.5387832359296874,3.5387832359296874,3.5387832359296874,3.5604610071195046,3.5604610071195046,3.5604610071195046,3.5604610071195046,3.5817637155850868,3.5817637155850868,3.5817637155850868,3.5817637155850868,3.5817637155850868,3.6034927171428817,3.6034927171428817,3.6034927171428817,3.6034927171428817,3.6034927171428817,3.625228772209164,3.625228772209164,3.646590776627069,3.646590776627069,3.646590776627069,3.646590776627069,3.667939582452988,3.667939582452988,3.667939582452988,3.667939582452988,3.689621814068435,3.689621814068435,3.689621814068435,3.7108348311996036,3.7108348311996036,3.7108348311996036,3.7108348311996036,3.7108348311996036,3.7108348311996036,3.7323507353615972,3.7323507353615972,3.7531872931294163,3.7531872931294163,3.7531872931294163,3.774377890560657,3.774377890560657,3.794589492942602,3.794589492942602,3.794589492942602,3.8161949101065122,3.8161949101065122,3.8357182754260615,3.8357182754260615,3.8357182754260615,3.8357182754260615,3.8357182754260615,3.874260383136201,3.874260383136201,3.874260383136201,3.874260383136201,3.874260383136201,3.8935405230877884,3.8935405230877884,3.9124082222189593,3.9124082222189593,3.928866679649021,3.928866679649021,3.928866679649021,3.928866679649021,3.928866679649021,3.928866679649021,3.928866679649021,3.946673096235046,3.946673096235046,3.9616989909287614,3.9616989909287614,3.9616989909287614,3.97840089397699,3.97840089397699,3.97840089397699,3.97840089397699,3.97840089397699,3.97840089397699,3.97840089397699,3.994602446475709,4.01029554690925,4.01029554690925,4.01029554690925,4.01029554690925,4.01029554690925,4.022714817606931,4.022714817606931,4.037262316360118,4.037262316360118,4.048287933427396,4.048287933427396,4.048287933427396,4.061637412542849,4.061637412542849,4.061637412542849,4.061637412542849,4.061637412542849,4.0744384166265,4.0744384166265,4.086700374958179,4.086700374958179,4.086700374958179,4.086700374958179,4.095161480554843,4.095161480554843,4.095161480554843,4.095161480554843,4.103066950132357,4.103066950132357,4.103066950132357,4.103066950132357,4.113739078475877,4.113739078475877,4.113739078475877,4.113739078475877,4.113739078475877,4.113739078475877,4.113739078475877,4.120684510833285,4.120684510833285,4.120684510833285,4.120684510833285,4.130462924018943,4.130462924018943,4.130462924018943,4.130462924018943,4.139837738281387,4.139837738281387,4.145708542681727,4.151340770943175,4.151340770943175,4.162664420600087,4.162664420600087,4.162664420600087,4.162664420600087,4.167688408783672,4.167688408783672,4.167688408783672,4.167688408783672,4.172520028838901,4.172520028838901,4.172520028838901,4.172520028838901,4.172520028838901,4.1827300692793425,4.1827300692793425,4.187088072179405,4.187088072179405,4.187088072179405,4.191340921062161,4.19551502258098,4.19551502258098,4.19551502258098,4.202050718508281,4.202050718508281,4.202050718508281,4.202050718508281,4.210711432144534,4.210711432144534,4.210711432144534,4.216776863775506,4.216776863775506,4.222694016587916,4.222694016587916,4.222694016587916,4.228486534853913,4.228486534853913,4.228486534853913,4.228486534853913,4.236547543749746,4.236547543749746,4.236547543749746,4.236547543749746,4.236547543749746,4.236547543749746,4.236547543749746,4.236547543749746,4.242408862084615,4.246995796307297,4.251853110125971,4.3054007360307045,4.318692474023524,4.318692474023524,4.325115033111845,4.331761691403411,4.331761691403411,4.331761691403411,4.338862318692571,4.359970104833908,4.367003535783344,4.367003535783344,4.393196427007957,4.393196427007957,4.393196427007957,4.393196427007957,4.416043988771787,4.416043988771787,4.420892862097152,4.42605537900032,4.430320855010372,4.437791514494561,4.437791514494561,4.441027466505939,4.443963849989848,4.446629091670975,4.446629091670975,4.446629091670975,4.453073427847122,4.453073427847122,4.454730377814511,4.454730377814511,4.458464948240471,4.460070492395655,4.460070492395655,4.462436183757154,4.462436183757154,4.462560900701908,4.463755259210205,4.463755259210205,4.463755259210205,4.464214818969106,4.462462869822549,4.460212767847304,4.458884718934067,4.455725253705143,4.453869796491271,4.451836362855858,4.446255088950301,4.446255088950301,4.443581144267754,4.443581144267754,4.442237201056804,4.432896041562375,4.432896041562375,4.427511515329006,4.420401858729265,4.418065468116116,4.410700186748232,4.403321488693346,4.399649089053153,4.3959997693939075,4.3959997693939075,4.392381641348809,4.392381641348809,4.388801763633678,4.38526179816446,4.38526179816446,4.371986118889622,4.34620299600027,4.341998411992674,4.331659747468645,4.331659747468645,4.331659747468645,4.318169299180732,4.310196479957955,4.291988883150677,4.291988883150677,4.2247993400593185,4.212619308287792,4.200343739674871,4.200343739674871,4.175708625213459,4.163431354807442,4.103515402288755,4.080505043793587,4.069230663462729,4.036333044936089,4.004768661593104,3.9261714070503864,3.8275478054591106,3.702581646968445,3.6702346449070475,3.622136399136787,3.5823137578469266,3.5584883166263994,3.526762563829219,3.502980644387502,3.48712532386183,3.4236289342968145,3.3758459188303407,3.32785548146695,3.2715266596343504,3.1409401300248048,3.1244054310909455,3.0995055381222256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256,2.9986257158544256],\"yaxis\":\"y\"}], {\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"RAD\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#f2f5fa\"},\"error_y\":{\"color\":\"#f2f5fa\"},\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"rgb(17,17,17)\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"baxis\":{\"endlinecolor\":\"#A2B1C6\",\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"minorgridcolor\":\"#506784\",\"startlinecolor\":\"#A2B1C6\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"line\":{\"color\":\"#283442\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#506784\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"header\":{\"fill\":{\"color\":\"#2a3f5f\"},\"line\":{\"color\":\"rgb(17,17,17)\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#f2f5fa\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#f2f5fa\"},\"geo\":{\"bgcolor\":\"rgb(17,17,17)\",\"lakecolor\":\"rgb(17,17,17)\",\"landcolor\":\"rgb(17,17,17)\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#506784\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"dark\"},\"paper_bgcolor\":\"rgb(17,17,17)\",\"plot_bgcolor\":\"rgb(17,17,17)\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"radialaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"yaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"},\"zaxis\":{\"backgroundcolor\":\"rgb(17,17,17)\",\"gridcolor\":\"#506784\",\"gridwidth\":2,\"linecolor\":\"#506784\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#C8D4E3\"}},\"shapedefaults\":{\"line\":{\"color\":\"#f2f5fa\"}},\"sliderdefaults\":{\"bgcolor\":\"#C8D4E3\",\"bordercolor\":\"rgb(17,17,17)\",\"borderwidth\":1,\"tickwidth\":0},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"},\"bgcolor\":\"rgb(17,17,17)\",\"caxis\":{\"gridcolor\":\"#506784\",\"linecolor\":\"#506784\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"updatemenudefaults\":{\"bgcolor\":\"#506784\",\"borderwidth\":0},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#283442\",\"linecolor\":\"#506784\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#283442\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MEDV\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"DIS\"}}}, {\"responsive\": true} ).then(function(){\n", " \n", "var gd = document.getElementById('1de4bb25-18bc-42cb-9d29-db51b613f1d7');\n", "var x = new MutationObserver(function (mutations, observer) {{\n", " var display = window.getComputedStyle(gd).display;\n", " if (!display \|\| display === 'none') {{\n", " console.log([gd, 'removed!']);\n", " Plotly.purge(gd);\n", " observer.disconnect();\n", " }}\n", "}});\n", "\n", "// Listen for the removal of the full notebook cells\n", "var notebookContainer = gd.closest('#notebook-container');\n", "if (notebookContainer) {{\n", " x.observe(notebookContainer, {childList: true});\n", "}}\n", "\n", "// Listen for the clearing of the current output cell\n", "var outputEl = gd.closest('.output');\n", "if (outputEl) {{\n", " x.observe(outputEl, {childList: true});\n", "}}\n", "\n", " }) }; }); </script> </div>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.scatter (df, x = \"MEDV\", y = \"DIS\", color = \"RAD\", template = \"plotly_dark\", trendline=\"lowess\")\n", "fig.show ()" ] }, { "cell_type": "code", "execution_count": 28, "id": "7995f6d1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:26.542242Z", "iopub.status.busy": "2021-08-07T18:37:26.541245Z", "iopub.status.idle": "2021-08-07T18:37:26.543720Z", "shell.execute_reply": "2021-08-07T18:37:26.544229Z", "shell.execute_reply.started": "2021-08-07T18:36:34.444490Z" }, "papermill": { "duration": 0.085933, "end_time": "2021-08-07T18:37:26.544396", "exception": false, "start_time": "2021-08-07T18:37:26.458463", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Min-Max normalization is used to bring the values in a particular arrange ( i.e. here 0 to 1)\n", "\n", "# Here we are taking only 4 column for normalization because in this the value are too high as compare to others\n", "\n", "cols = ['CRIM', 'ZN', 'TAX', 'B']\n", "for col in cols:\n", " minimum = min(df[col])\n", " maximum = max(df[col])\n", " df[col] = (df[col] - minimum)/ (maximum - minimum)\n", " " ] }, { "cell_type": "code", "execution_count": 29, "id": "dfd82a85", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:26.692013Z", "iopub.status.busy": "2021-08-07T18:37:26.691041Z", "iopub.status.idle": "2021-08-07T18:37:28.661976Z", "shell.execute_reply": "2021-08-07T18:37:28.661405Z", "shell.execute_reply.started": "2021-08-07T18:36:34.453954Z" }, "papermill": { "duration": 2.04609, "end_time": "2021-08-07T18:37:28.662116", "exception": false, "start_time": "2021-08-07T18:37:26.616026", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1440x720 with 14 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Here we can see that values are now between 0 and 1\n", "\n", "fig, ax = plt.subplots(ncols = 7, nrows = 2, figsize = (20, 10))\n", "index = 0\n", "ax = ax.flatten()\n", "\n", "for col, value in df.items():\n", " sns.boxplot(y=col, data=df, ax=ax[index])\n", " index += 1\n", "plt.tight_layout(pad = 0.5, w_pad=0.7, h_pad=5.0)" ] }, { "cell_type": "code", "execution_count": 30, "id": "2269f78d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:28.837991Z", "iopub.status.busy": "2021-08-07T18:37:28.837258Z", "iopub.status.idle": "2021-08-07T18:37:28.972144Z", "shell.execute_reply": "2021-08-07T18:37:28.971445Z", "shell.execute_reply.started": "2021-08-07T18:36:36.106223Z" }, "papermill": { "duration": 0.236122, "end_time": "2021-08-07T18:37:28.972288", "exception": false, "start_time": "2021-08-07T18:37:28.736166", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Now values are between 0 and 1 \n", "def hist_plots(df):\n", " plt.title(\"Histogram\")\n", " plt.hist(df)\n", " plt.show()\n", "hist_plots(df['CRIM'])" ] }, { "cell_type": "code", "execution_count": 31, "id": "713cbf03", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:29.142191Z", "iopub.status.busy": "2021-08-07T18:37:29.135838Z", "iopub.status.idle": "2021-08-07T18:37:29.151203Z", "shell.execute_reply": "2021-08-07T18:37:29.150673Z", "shell.execute_reply.started": "2021-08-07T18:36:36.256772Z" }, "papermill": { "duration": 0.103723, "end_time": "2021-08-07T18:37:29.151346", "exception": false, "start_time": "2021-08-07T18:37:29.047623", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>CRIM</th>\n", " <th>ZN</th>\n", " <th>INDUS</th>\n", " <th>CHAS</th>\n", " <th>NOX</th>\n", " <th>RM</th>\n", " <th>AGE</th>\n", " <th>DIS</th>\n", " <th>RAD</th>\n", " <th>TAX</th>\n", " <th>PTRATIO</th>\n", " <th>B</th>\n", " <th>LSTAT</th>\n", " <th>MEDV</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0.000000</td>\n", " <td>0.18</td>\n", " <td>2.31</td>\n", " <td>0</td>\n", " <td>0.538</td>\n", " <td>6.575</td>\n", " <td>65.2</td>\n", " <td>4.0900</td>\n", " <td>1</td>\n", " <td>0.208015</td>\n", " <td>15.3</td>\n", " <td>1.000000</td>\n", " <td>4.98</td>\n", " <td>24.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0.000236</td>\n", " <td>0.00</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>6.421</td>\n", " <td>78.9</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>0.104962</td>\n", " <td>17.8</td>\n", " <td>1.000000</td>\n", " <td>9.14</td>\n", " <td>21.6</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>0.000236</td>\n", " <td>0.00</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>7.185</td>\n", " <td>61.1</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>0.104962</td>\n", " <td>17.8</td>\n", " <td>0.989737</td>\n", " <td>4.03</td>\n", " <td>34.7</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>0.000293</td>\n", " <td>0.00</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>6.998</td>\n", " <td>45.8</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>0.066794</td>\n", " <td>18.7</td>\n", " <td>0.994276</td>\n", " <td>2.94</td>\n", " <td>33.4</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>0.000705</td>\n", " <td>0.00</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>7.147</td>\n", " <td>54.2</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>0.066794</td>\n", " <td>18.7</td>\n", " <td>1.000000</td>\n", " <td>5.33</td>\n", " <td>36.2</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX \\\n", "0 0.000000 0.18 2.31 0 0.538 6.575 65.2 4.0900 1 0.208015 \n", "1 0.000236 0.00 7.07 0 0.469 6.421 78.9 4.9671 2 0.104962 \n", "2 0.000236 0.00 7.07 0 0.469 7.185 61.1 4.9671 2 0.104962 \n", "3 0.000293 0.00 2.18 0 0.458 6.998 45.8 6.0622 3 0.066794 \n", "4 0.000705 0.00 2.18 0 0.458 7.147 54.2 6.0622 3 0.066794 \n", "\n", " PTRATIO B LSTAT MEDV \n", "0 15.3 1.000000 4.98 24.0 \n", "1 17.8 1.000000 9.14 21.6 \n", "2 17.8 0.989737 4.03 34.7 \n", "3 18.7 0.994276 2.94 33.4 \n", "4 18.7 1.000000 5.33 36.2 " ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Here we can see that after min-max normalization values now ranges from 0 to 1\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 32, "id": "8e825cea", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:29.310204Z", "iopub.status.busy": "2021-08-07T18:37:29.309065Z", "iopub.status.idle": "2021-08-07T18:37:29.330542Z", "shell.execute_reply": "2021-08-07T18:37:29.329814Z", "shell.execute_reply.started": "2021-08-07T18:36:36.282574Z" }, "papermill": { "duration": 0.104216, "end_time": "2021-08-07T18:37:29.330698", "exception": false, "start_time": "2021-08-07T18:37:29.226482", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>CRIM</th>\n", " <th>ZN</th>\n", " <th>INDUS</th>\n", " <th>CHAS</th>\n", " <th>NOX</th>\n", " <th>RM</th>\n", " <th>AGE</th>\n", " <th>DIS</th>\n", " <th>RAD</th>\n", " <th>TAX</th>\n", " <th>PTRATIO</th>\n", " <th>B</th>\n", " <th>LSTAT</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0.000000</td>\n", " <td>0.18</td>\n", " <td>2.31</td>\n", " <td>0</td>\n", " <td>0.538</td>\n", " <td>6.575</td>\n", " <td>65.2</td>\n", " <td>4.0900</td>\n", " <td>1</td>\n", " <td>0.208015</td>\n", " <td>15.3</td>\n", " <td>1.000000</td>\n", " <td>4.98</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0.000236</td>\n", " <td>0.00</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>6.421</td>\n", " <td>78.9</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>0.104962</td>\n", " <td>17.8</td>\n", " <td>1.000000</td>\n", " <td>9.14</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>0.000236</td>\n", " <td>0.00</td>\n", " <td>7.07</td>\n", " <td>0</td>\n", " <td>0.469</td>\n", " <td>7.185</td>\n", " <td>61.1</td>\n", " <td>4.9671</td>\n", " <td>2</td>\n", " <td>0.104962</td>\n", " <td>17.8</td>\n", " <td>0.989737</td>\n", " <td>4.03</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>0.000293</td>\n", " <td>0.00</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>6.998</td>\n", " <td>45.8</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>0.066794</td>\n", " <td>18.7</td>\n", " <td>0.994276</td>\n", " <td>2.94</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>0.000705</td>\n", " <td>0.00</td>\n", " <td>2.18</td>\n", " <td>0</td>\n", " <td>0.458</td>\n", " <td>7.147</td>\n", " <td>54.2</td>\n", " <td>6.0622</td>\n", " <td>3</td>\n", " <td>0.066794</td>\n", " <td>18.7</td>\n", " <td>1.000000</td>\n", " <td>5.33</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " CRIM ZN INDUS CHAS NOX RM AGE DIS RAD TAX \\\n", "0 0.000000 0.18 2.31 0 0.538 6.575 65.2 4.0900 1 0.208015 \n", "1 0.000236 0.00 7.07 0 0.469 6.421 78.9 4.9671 2 0.104962 \n", "2 0.000236 0.00 7.07 0 0.469 7.185 61.1 4.9671 2 0.104962 \n", "3 0.000293 0.00 2.18 0 0.458 6.998 45.8 6.0622 3 0.066794 \n", "4 0.000705 0.00 2.18 0 0.458 7.147 54.2 6.0622 3 0.066794 \n", "\n", " PTRATIO B LSTAT \n", "0 15.3 1.000000 4.98 \n", "1 17.8 1.000000 9.14 \n", "2 17.8 0.989737 4.03 \n", "3 18.7 0.994276 2.94 \n", "4 18.7 1.000000 5.33 " ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dropping 'MEDV' from dataframe and saving dataframe in X which is now acting as input column\n", "X = df.drop(columns=['MEDV'], axis=1)\n", "X.head()" ] }, { "cell_type": "code", "execution_count": 33, "id": "119a3511", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:29.487504Z", "iopub.status.busy": "2021-08-07T18:37:29.486747Z", "iopub.status.idle": "2021-08-07T18:37:29.489666Z", "shell.execute_reply": "2021-08-07T18:37:29.490191Z", "shell.execute_reply.started": "2021-08-07T18:36:36.308152Z" }, "papermill": { "duration": 0.083939, "end_time": "2021-08-07T18:37:29.490358", "exception": false, "start_time": "2021-08-07T18:37:29.406419", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(506, 13)" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X.shape" ] }, { "cell_type": "code", "execution_count": 34, "id": "52effa81", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:29.650612Z", "iopub.status.busy": "2021-08-07T18:37:29.649915Z", "iopub.status.idle": "2021-08-07T18:37:29.655995Z", "shell.execute_reply": "2021-08-07T18:37:29.656530Z", "shell.execute_reply.started": "2021-08-07T18:36:36.316233Z" }, "papermill": { "duration": 0.08892, "end_time": "2021-08-07T18:37:29.656706", "exception": false, "start_time": "2021-08-07T18:37:29.567786", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(506,)" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# y have only 'MEDV' column which is the output column\n", "y = df['MEDV']\n", "y.shape" ] }, { "cell_type": "markdown", "id": "a1730805", "metadata": { "papermill": { "duration": 0.076161, "end_time": "2021-08-07T18:37:29.811115", "exception": false, "start_time": "2021-08-07T18:37:29.734954", "status": "completed" }, "tags": [] }, "source": [ "## Linear Regression" ] }, { "cell_type": "code", "execution_count": 35, "id": "78e72e28", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:29.966922Z", "iopub.status.busy": "2021-08-07T18:37:29.966278Z", "iopub.status.idle": "2021-08-07T18:37:30.162594Z", "shell.execute_reply": "2021-08-07T18:37:30.161866Z", "shell.execute_reply.started": "2021-08-07T18:36:36.329015Z" }, "papermill": { "duration": 0.275643, "end_time": "2021-08-07T18:37:30.162736", "exception": false, "start_time": "2021-08-07T18:37:29.887093", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.model_selection import cross_val_score, train_test_split\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import mean_squared_error" ] }, { "cell_type": "code", "execution_count": 36, "id": "e394eae6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:30.319918Z", "iopub.status.busy": "2021-08-07T18:37:30.319227Z", "iopub.status.idle": "2021-08-07T18:37:30.325006Z", "shell.execute_reply": "2021-08-07T18:37:30.325493Z", "shell.execute_reply.started": "2021-08-07T18:36:36.338238Z" }, "papermill": { "duration": 0.08672, "end_time": "2021-08-07T18:37:30.325672", "exception": false, "start_time": "2021-08-07T18:37:30.238952", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Performing train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y,train_size=0.8,random_state=42)" ] }, { "cell_type": "code", "execution_count": 37, "id": "93793391", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:30.481076Z", "iopub.status.busy": "2021-08-07T18:37:30.480444Z", "iopub.status.idle": "2021-08-07T18:37:30.483755Z", "shell.execute_reply": "2021-08-07T18:37:30.484232Z", "shell.execute_reply.started": "2021-08-07T18:36:36.352987Z" }, "papermill": { "duration": 0.082661, "end_time": "2021-08-07T18:37:30.484405", "exception": false, "start_time": "2021-08-07T18:37:30.401744", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# creating object of Linear Regression\n", "model_lrg = LinearRegression()" ] }, { "cell_type": "code", "execution_count": 38, "id": "cbf467e5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:30.639747Z", "iopub.status.busy": "2021-08-07T18:37:30.639092Z", "iopub.status.idle": "2021-08-07T18:37:30.709417Z", "shell.execute_reply": "2021-08-07T18:37:30.708801Z", "shell.execute_reply.started": "2021-08-07T18:36:36.363865Z" }, "papermill": { "duration": 0.149144, "end_time": "2021-08-07T18:37:30.709597", "exception": false, "start_time": "2021-08-07T18:37:30.560453", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model\n", "model_lrg.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 39, "id": "3a0713a6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:30.866076Z", "iopub.status.busy": "2021-08-07T18:37:30.865276Z", "iopub.status.idle": "2021-08-07T18:37:30.871112Z", "shell.execute_reply": "2021-08-07T18:37:30.871608Z", "shell.execute_reply.started": "2021-08-07T18:36:36.380811Z" }, "papermill": { "duration": 0.085589, "end_time": "2021-08-07T18:37:30.871783", "exception": false, "start_time": "2021-08-07T18:37:30.786194", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Predicting values\n", "pred_tst = model_lrg.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 40, "id": "9f23f7f8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:31.038173Z", "iopub.status.busy": "2021-08-07T18:37:31.037165Z", "iopub.status.idle": "2021-08-07T18:37:31.045759Z", "shell.execute_reply": "2021-08-07T18:37:31.044725Z", "shell.execute_reply.started": "2021-08-07T18:36:36.389247Z" }, "papermill": { "duration": 0.089562, "end_time": "2021-08-07T18:37:31.045984", "exception": false, "start_time": "2021-08-07T18:37:30.956422", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4.928602182665336\n" ] } ], "source": [ "# Evaluation metrics \"Mean Squared Error\"\n", "mae_lrg = np.sqrt(mean_squared_error(y_test, pred_tst))\n", "print(mae_lrg)" ] }, { "cell_type": "markdown", "id": "7827b775", "metadata": { "execution": { "iopub.execute_input": "2021-07-18T18:11:32.633013Z", "iopub.status.busy": "2021-07-18T18:11:32.632593Z", "iopub.status.idle": "2021-07-18T18:11:32.637459Z", "shell.execute_reply": "2021-07-18T18:11:32.636278Z", "shell.execute_reply.started": "2021-07-18T18:11:32.632978Z" }, "papermill": { "duration": 0.076586, "end_time": "2021-08-07T18:37:31.202518", "exception": false, "start_time": "2021-08-07T18:37:31.125932", "status": "completed" }, "tags": [] }, "source": [ "### Random Forest " ] }, { "cell_type": "code", "execution_count": 41, "id": "e824f411", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:31.362152Z", "iopub.status.busy": "2021-08-07T18:37:31.361500Z", "iopub.status.idle": "2021-08-07T18:37:31.480211Z", "shell.execute_reply": "2021-08-07T18:37:31.479625Z", "shell.execute_reply.started": "2021-08-07T18:36:36.400719Z" }, "papermill": { "duration": 0.19854, "end_time": "2021-08-07T18:37:31.480354", "exception": false, "start_time": "2021-08-07T18:37:31.281814", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestRegressor" ] }, { "cell_type": "code", "execution_count": 42, "id": "6a7b740b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:31.641494Z", "iopub.status.busy": "2021-08-07T18:37:31.640697Z", "iopub.status.idle": "2021-08-07T18:37:31.643049Z", "shell.execute_reply": "2021-08-07T18:37:31.643582Z", "shell.execute_reply.started": "2021-08-07T18:36:36.411510Z" }, "papermill": { "duration": 0.085601, "end_time": "2021-08-07T18:37:31.643757", "exception": false, "start_time": "2021-08-07T18:37:31.558156", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# creating object of Random Forest Regressor\n", "model_rf = RandomForestRegressor()" ] }, { "cell_type": "code", "execution_count": 43, "id": "fcd4cd55", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:31.803409Z", "iopub.status.busy": "2021-08-07T18:37:31.802754Z", "iopub.status.idle": "2021-08-07T18:37:32.183105Z", "shell.execute_reply": "2021-08-07T18:37:32.182543Z", "shell.execute_reply.started": "2021-08-07T18:36:36.422865Z" }, "papermill": { "duration": 0.461698, "end_time": "2021-08-07T18:37:32.183259", "exception": false, "start_time": "2021-08-07T18:37:31.721561", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor()" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model\n", "model_rf.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 44, "id": "5b054f88", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:32.348426Z", "iopub.status.busy": "2021-08-07T18:37:32.347323Z", "iopub.status.idle": "2021-08-07T18:37:32.359264Z", "shell.execute_reply": "2021-08-07T18:37:32.359772Z", "shell.execute_reply.started": "2021-08-07T18:36:36.802134Z" }, "papermill": { "duration": 0.098723, "end_time": "2021-08-07T18:37:32.359954", "exception": false, "start_time": "2021-08-07T18:37:32.261231", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Predicting values\n", "pred_rf = model_rf.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 45, "id": "5d1a0cee", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:32.519460Z", "iopub.status.busy": "2021-08-07T18:37:32.518503Z", "iopub.status.idle": "2021-08-07T18:37:32.524919Z", "shell.execute_reply": "2021-08-07T18:37:32.525420Z", "shell.execute_reply.started": "2021-08-07T18:36:36.819525Z" }, "papermill": { "duration": 0.08736, "end_time": "2021-08-07T18:37:32.525632", "exception": false, "start_time": "2021-08-07T18:37:32.438272", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.083239072221062\n" ] } ], "source": [ "# Evaluation metrics \"Mean Squared Error\"\n", "mae_rf = np.sqrt(mean_squared_error(y_test, pred_rf))\n", "print(mae_rf)" ] }, { "cell_type": "markdown", "id": "77a8b0cb", "metadata": { "papermill": { "duration": 0.077351, "end_time": "2021-08-07T18:37:32.681019", "exception": false, "start_time": "2021-08-07T18:37:32.603668", "status": "completed" }, "tags": [] }, "source": [ "### Decision Tree" ] }, { "cell_type": "code", "execution_count": 46, "id": "1e5286ab", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:32.842538Z", "iopub.status.busy": "2021-08-07T18:37:32.841675Z", "iopub.status.idle": "2021-08-07T18:37:32.844651Z", "shell.execute_reply": "2021-08-07T18:37:32.845141Z", "shell.execute_reply.started": "2021-08-07T18:36:36.826531Z" }, "papermill": { "duration": 0.086308, "end_time": "2021-08-07T18:37:32.845325", "exception": false, "start_time": "2021-08-07T18:37:32.759017", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.tree import DecisionTreeRegressor" ] }, { "cell_type": "code", "execution_count": 47, "id": "de0787f0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:33.006563Z", "iopub.status.busy": "2021-08-07T18:37:33.005542Z", "iopub.status.idle": "2021-08-07T18:37:33.008560Z", "shell.execute_reply": "2021-08-07T18:37:33.007925Z", "shell.execute_reply.started": "2021-08-07T18:36:36.843419Z" }, "papermill": { "duration": 0.085604, "end_time": "2021-08-07T18:37:33.008720", "exception": false, "start_time": "2021-08-07T18:37:32.923116", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# creating object of Decision Tree Regressor\n", "model_dt = DecisionTreeRegressor()" ] }, { "cell_type": "code", "execution_count": 48, "id": "484b77ce", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:33.173914Z", "iopub.status.busy": "2021-08-07T18:37:33.173227Z", "iopub.status.idle": "2021-08-07T18:37:33.181785Z", "shell.execute_reply": "2021-08-07T18:37:33.182242Z", "shell.execute_reply.started": "2021-08-07T18:36:36.855529Z" }, "papermill": { "duration": 0.09593, "end_time": "2021-08-07T18:37:33.182418", "exception": false, "start_time": "2021-08-07T18:37:33.086488", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "DecisionTreeRegressor()" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model \n", "model_dt.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 49, "id": "82efd9ed", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:33.347183Z", "iopub.status.busy": "2021-08-07T18:37:33.346515Z", "iopub.status.idle": "2021-08-07T18:37:33.349834Z", "shell.execute_reply": "2021-08-07T18:37:33.349256Z", "shell.execute_reply.started": "2021-08-07T18:36:36.877188Z" }, "papermill": { "duration": 0.087626, "end_time": "2021-08-07T18:37:33.349979", "exception": false, "start_time": "2021-08-07T18:37:33.262353", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Predicting values\n", "pred_dt = model_dt.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 50, "id": "e678e3dd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:33.513489Z", "iopub.status.busy": "2021-08-07T18:37:33.512762Z", "iopub.status.idle": "2021-08-07T18:37:33.517044Z", "shell.execute_reply": "2021-08-07T18:37:33.516383Z", "shell.execute_reply.started": "2021-08-07T18:36:36.886354Z" }, "papermill": { "duration": 0.089183, "end_time": "2021-08-07T18:37:33.517185", "exception": false, "start_time": "2021-08-07T18:37:33.428002", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.3764031215504597\n" ] } ], "source": [ "# Evaluation metrics \"Mean Squared Error\"\n", "mae_dt = np.sqrt(mean_squared_error(y_test, pred_dt))\n", "print(mae_dt)" ] }, { "cell_type": "markdown", "id": "e35dbbc8", "metadata": { "execution": { "iopub.execute_input": "2021-07-18T19:17:05.546577Z", "iopub.status.busy": "2021-07-18T19:17:05.546169Z", "iopub.status.idle": "2021-07-18T19:17:05.550367Z", "shell.execute_reply": "2021-07-18T19:17:05.549366Z", "shell.execute_reply.started": "2021-07-18T19:17:05.546542Z" }, "papermill": { "duration": 0.077671, "end_time": "2021-08-07T18:37:33.673337", "exception": false, "start_time": "2021-08-07T18:37:33.595666", "status": "completed" }, "tags": [] }, "source": [ "### XGBoost" ] }, { "cell_type": "code", "execution_count": 51, "id": "150e778d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:33.834459Z", "iopub.status.busy": "2021-08-07T18:37:33.833805Z", "iopub.status.idle": "2021-08-07T18:37:33.915688Z", "shell.execute_reply": "2021-08-07T18:37:33.915116Z", "shell.execute_reply.started": "2021-08-07T18:36:36.903003Z" }, "papermill": { "duration": 0.164208, "end_time": "2021-08-07T18:37:33.915841", "exception": false, "start_time": "2021-08-07T18:37:33.751633", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from xgboost import XGBRFRegressor" ] }, { "cell_type": "code", "execution_count": 52, "id": "62a8f086", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:34.078514Z", "iopub.status.busy": "2021-08-07T18:37:34.077817Z", "iopub.status.idle": "2021-08-07T18:37:34.081112Z", "shell.execute_reply": "2021-08-07T18:37:34.080565Z", "shell.execute_reply.started": "2021-08-07T18:36:36.917719Z" }, "papermill": { "duration": 0.087464, "end_time": "2021-08-07T18:37:34.081262", "exception": false, "start_time": "2021-08-07T18:37:33.993798", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# creating object of XGBoost\n", "model_xgb = XGBRFRegressor(max_depth=8, n_estimators = 10)" ] }, { "cell_type": "code", "execution_count": 53, "id": "2c08d184", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:34.242764Z", "iopub.status.busy": "2021-08-07T18:37:34.241797Z", "iopub.status.idle": "2021-08-07T18:37:34.302676Z", "shell.execute_reply": "2021-08-07T18:37:34.303254Z", "shell.execute_reply.started": "2021-08-07T18:36:36.930421Z" }, "papermill": { "duration": 0.144126, "end_time": "2021-08-07T18:37:34.303417", "exception": false, "start_time": "2021-08-07T18:37:34.159291", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "XGBRFRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n", " colsample_bytree=1, gamma=0, gpu_id=-1, importance_type='gain',\n", " interaction_constraints='', max_delta_step=0, max_depth=8,\n", " min_child_weight=1, missing=nan, monotone_constraints='()',\n", " n_estimators=10, n_jobs=4, num_parallel_tree=10,\n", " objective='reg:squarederror', random_state=0, reg_alpha=0,\n", " scale_pos_weight=1, tree_method='exact', validate_parameters=1,\n", " verbosity=None)" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Training model\n", "model_xgb.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 54, "id": "d35e2b31", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:34.466859Z", "iopub.status.busy": "2021-08-07T18:37:34.466196Z", "iopub.status.idle": "2021-08-07T18:37:34.473498Z", "shell.execute_reply": "2021-08-07T18:37:34.474191Z", "shell.execute_reply.started": "2021-08-07T18:36:36.975708Z" }, "papermill": { "duration": 0.090701, "end_time": "2021-08-07T18:37:34.474411", "exception": false, "start_time": "2021-08-07T18:37:34.383710", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Predicting values\n", "pred_xgb = model_xgb.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 55, "id": "0943120b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:34.641093Z", "iopub.status.busy": "2021-08-07T18:37:34.640271Z", "iopub.status.idle": "2021-08-07T18:37:34.643271Z", "shell.execute_reply": "2021-08-07T18:37:34.643867Z", "shell.execute_reply.started": "2021-08-07T18:36:36.984552Z" }, "papermill": { "duration": 0.087871, "end_time": "2021-08-07T18:37:34.644103", "exception": false, "start_time": "2021-08-07T18:37:34.556232", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2.5687031504848328\n" ] } ], "source": [ "# Evaluation metrics \"Mean Squared Error\"\n", "mae_xgb = np.sqrt(mean_squared_error(y_test, pred_xgb))\n", "print(mae_xgb)" ] }, { "cell_type": "code", "execution_count": 56, "id": "41ef9727", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:37:34.814087Z", "iopub.status.busy": "2021-08-07T18:37:34.813380Z", "iopub.status.idle": "2021-08-07T18:37:34.824738Z", "shell.execute_reply": "2021-08-07T18:37:34.825230Z", "shell.execute_reply.started": "2021-08-07T18:36:37.003243Z" }, "papermill": { "duration": 0.097275, "end_time": "2021-08-07T18:37:34.825417", "exception": false, "start_time": "2021-08-07T18:37:34.728142", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Model</th>\n", " <th>MAE</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>Linear Regression</td>\n", " <td>4.928602</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Decision Tree</td>\n", " <td>3.376403</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>Random Forest</td>\n", " <td>3.083239</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>XGBoost</td>\n", " <td>2.568703</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Model MAE\n", "0 Linear Regression 4.928602\n", "1 Decision Tree 3.376403\n", "2 Random Forest 3.083239\n", "3 XGBoost 2.568703" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "models = pd.DataFrame({\n", " 'Model':['Linear Regression', 'Decision Tree', 'Random Forest', 'XGBoost'],\n", " 'MAE' :[mae_lrg, mae_dt, mae_rf, mae_xgb]\n", "})\n", "models" ] }, { "cell_type": "markdown", "id": "2a4d168e", "metadata": { "execution": { "iopub.execute_input": "2021-07-18T19:42:09.835551Z", "iopub.status.busy": "2021-07-18T19:42:09.835132Z", "iopub.status.idle": "2021-07-18T19:42:09.839645Z", "shell.execute_reply": "2021-07-18T19:42:09.838591Z", "shell.execute_reply.started": "2021-07-18T19:42:09.835518Z" }, "papermill": { "duration": 0.080274, "end_time": "2021-08-07T18:37:34.985654", "exception": false, "start_time": "2021-08-07T18:37:34.905380", "status": "completed" }, "tags": [] }, "source": [ "##### Conclusion :- Here after changing few hyperparameter XGBoost is working best here" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 32.745186, "end_time": "2021-08-07T18:37:36.085797", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:37:03.340611", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/597/70597302.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "422dd7bd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:40:55.242261Z", "iopub.status.busy": "2021-08-07T18:40:55.241878Z", "iopub.status.idle": "2021-08-07T18:40:55.247830Z", "shell.execute_reply": "2021-08-07T18:40:55.246750Z", "shell.execute_reply.started": "2021-08-07T18:40:55.242172Z" }, "papermill": { "duration": 0.047085, "end_time": "2021-08-07T18:46:42.920343", "exception": false, "start_time": "2021-08-07T18:46:42.873258", "status": "completed" }, "tags": [] }, "source": [ "## Heart Attack Prediction ❤🔮" ] }, { "cell_type": "markdown", "id": "671f85e1", "metadata": { "papermill": { "duration": 0.035346, "end_time": "2021-08-07T18:46:42.996690", "exception": false, "start_time": "2021-08-07T18:46:42.961344", "status": "completed" }, "tags": [] }, "source": [ "![Heart Attack](https://st2.depositphotos.com/1006472/9686/i/600/depositphotos_96861070-stock-photo-severe-heartache-man-suffering-from.jpg)" ] }, { "cell_type": "markdown", "id": "b9d6ba60", "metadata": { "papermill": { "duration": 0.03789, "end_time": "2021-08-07T18:46:43.069221", "exception": false, "start_time": "2021-08-07T18:46:43.031331", "status": "completed" }, "tags": [] }, "source": [ "A blockage of blood flow to the heart muscle.\n", "A heart attack is a medical emergency. A `heart attack` usually occurs when a blood clot blocks blood flow to the heart. Without blood, tissue loses oxygen and dies.\n", "Symptoms include tightness or pain in the chest, neck, back or arms, as well as fatigue, lightheadedness, abnormal heartbeat and anxiety. Women are more likely to have atypical symptoms than men.\n", "Treatment ranges from lifestyle changes and cardiac rehabilitation to medication, stents and bypass surgery.\n", "\n", "\n", "With this notebook, I will be using `Decision Tree` to classify if a subject is likely to have Heart Attack or not.\n", "This notebook is also a step by step guide to implement the `DecisionTreeClassifier() model.`" ] }, { "cell_type": "markdown", "id": "b6184228", "metadata": { "papermill": { "duration": 0.03548, "end_time": "2021-08-07T18:46:43.149096", "exception": false, "start_time": "2021-08-07T18:46:43.113616", "status": "completed" }, "tags": [] }, "source": [ "### Step1: Importing Dataframe and Analyzing 💻🔍" ] }, { "cell_type": "code", "execution_count": 1, "id": "3fbd5c23", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:43.231182Z", "iopub.status.busy": "2021-08-07T18:46:43.230548Z", "iopub.status.idle": "2021-08-07T18:46:44.508996Z", "shell.execute_reply": "2021-08-07T18:46:44.508275Z", "shell.execute_reply.started": "2021-08-07T18:44:42.443787Z" }, "papermill": { "duration": 1.322464, "end_time": "2021-08-07T18:46:44.509189", "exception": false, "start_time": "2021-08-07T18:46:43.186725", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#Importing libraries 📚\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import warnings\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.tree import plot_tree\n", "from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score\n", "from sklearn.model_selection import GridSearchCV\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "code", "execution_count": 2, "id": "095988e4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:44.580345Z", "iopub.status.busy": "2021-08-07T18:46:44.579773Z", "iopub.status.idle": "2021-08-07T18:46:44.631049Z", "shell.execute_reply": "2021-08-07T18:46:44.630058Z", "shell.execute_reply.started": "2021-08-07T18:44:42.450985Z" }, "papermill": { "duration": 0.087806, "end_time": "2021-08-07T18:46:44.631223", "exception": false, "start_time": "2021-08-07T18:46:44.543417", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>age</th>\n", " <th>sex</th>\n", " <th>cp</th>\n", " <th>trtbps</th>\n", " <th>chol</th>\n", " <th>fbs</th>\n", " <th>restecg</th>\n", " <th>thalachh</th>\n", " <th>exng</th>\n", " <th>oldpeak</th>\n", " <th>slp</th>\n", " <th>caa</th>\n", " <th>thall</th>\n", " <th>output</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>63</td>\n", " <td>1</td>\n", " <td>3</td>\n", " <td>145</td>\n", " <td>233</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>150</td>\n", " <td>0</td>\n", " <td>2.3</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>37</td>\n", " <td>1</td>\n", " <td>2</td>\n", " <td>130</td>\n", " <td>250</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>187</td>\n", " <td>0</td>\n", " <td>3.5</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>41</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>130</td>\n", " <td>204</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>172</td>\n", " <td>0</td>\n", " <td>1.4</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>56</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>120</td>\n", " <td>236</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>178</td>\n", " <td>0</td>\n", " <td>0.8</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>57</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>120</td>\n", " <td>354</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>163</td>\n", " <td>1</td>\n", " <td>0.6</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " age sex cp trtbps chol fbs restecg thalachh exng oldpeak slp \\\n", "0 63 1 3 145 233 1 0 150 0 2.3 0 \n", "1 37 1 2 130 250 0 1 187 0 3.5 0 \n", "2 41 0 1 130 204 0 0 172 0 1.4 2 \n", "3 56 1 1 120 236 0 1 178 0 0.8 2 \n", "4 57 0 0 120 354 0 1 163 1 0.6 2 \n", "\n", " caa thall output \n", "0 0 1 1 \n", "1 0 2 1 \n", "2 0 2 1 \n", "3 0 2 1 \n", "4 0 2 1 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Reading the dataset and having a look at the first 5 rows of the dataframe...\n", "\n", "df = pd.read_csv(\"../input/heart-attack-analysis-prediction-dataset/heart.csv\")\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "bb1bb65f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:44.708109Z", "iopub.status.busy": "2021-08-07T18:46:44.707536Z", "iopub.status.idle": "2021-08-07T18:46:44.710339Z", "shell.execute_reply": "2021-08-07T18:46:44.710799Z", "shell.execute_reply.started": "2021-08-07T18:44:42.508830Z" }, "papermill": { "duration": 0.04416, "end_time": "2021-08-07T18:46:44.710958", "exception": false, "start_time": "2021-08-07T18:46:44.666798", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(303, 14)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the number of rows and columns...\n", "\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 4, "id": "be9dc0ed", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:44.783794Z", "iopub.status.busy": "2021-08-07T18:46:44.783117Z", "iopub.status.idle": "2021-08-07T18:46:44.803640Z", "shell.execute_reply": "2021-08-07T18:46:44.803153Z", "shell.execute_reply.started": "2021-08-07T18:44:42.515230Z" }, "papermill": { "duration": 0.057983, "end_time": "2021-08-07T18:46:44.803778", "exception": false, "start_time": "2021-08-07T18:46:44.745795", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 303 entries, 0 to 302\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 age 303 non-null int64 \n", " 1 sex 303 non-null int64 \n", " 2 cp 303 non-null int64 \n", " 3 trtbps 303 non-null int64 \n", " 4 chol 303 non-null int64 \n", " 5 fbs 303 non-null int64 \n", " 6 restecg 303 non-null int64 \n", " 7 thalachh 303 non-null int64 \n", " 8 exng 303 non-null int64 \n", " 9 oldpeak 303 non-null float64\n", " 10 slp 303 non-null int64 \n", " 11 caa 303 non-null int64 \n", " 12 thall 303 non-null int64 \n", " 13 output 303 non-null int64 \n", "dtypes: float64(1), int64(13)\n", "memory usage: 33.3 KB\n" ] } ], "source": [ "# Checking for any NULL values...\n", "\n", "df.info()" ] }, { "cell_type": "markdown", "id": "2f473ff6", "metadata": { "papermill": { "duration": 0.039496, "end_time": "2021-08-07T18:46:44.878534", "exception": false, "start_time": "2021-08-07T18:46:44.839038", "status": "completed" }, "tags": [] }, "source": [ "- There are no NULL values in this dataframe." ] }, { "cell_type": "code", "execution_count": 5, "id": "daa3a9dd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:44.988333Z", "iopub.status.busy": "2021-08-07T18:46:44.987671Z", "iopub.status.idle": "2021-08-07T18:46:45.041968Z", "shell.execute_reply": "2021-08-07T18:46:45.041417Z", "shell.execute_reply.started": "2021-08-07T18:44:42.550298Z" }, "papermill": { "duration": 0.119282, "end_time": "2021-08-07T18:46:45.042106", "exception": false, "start_time": "2021-08-07T18:46:44.922824", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>age</th>\n", " <th>sex</th>\n", " <th>cp</th>\n", " <th>trtbps</th>\n", " <th>chol</th>\n", " <th>fbs</th>\n", " <th>restecg</th>\n", " <th>thalachh</th>\n", " <th>exng</th>\n", " <th>oldpeak</th>\n", " <th>slp</th>\n", " <th>caa</th>\n", " <th>thall</th>\n", " <th>output</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>54.366337</td>\n", " <td>0.683168</td>\n", " <td>0.966997</td>\n", " <td>131.623762</td>\n", " <td>246.264026</td>\n", " <td>0.148515</td>\n", " <td>0.528053</td>\n", " <td>149.646865</td>\n", " <td>0.326733</td>\n", " <td>1.039604</td>\n", " <td>1.399340</td>\n", " <td>0.729373</td>\n", " <td>2.313531</td>\n", " <td>0.544554</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>9.082101</td>\n", " <td>0.466011</td>\n", " <td>1.032052</td>\n", " <td>17.538143</td>\n", " <td>51.830751</td>\n", " <td>0.356198</td>\n", " <td>0.525860</td>\n", " <td>22.905161</td>\n", " <td>0.469794</td>\n", " <td>1.161075</td>\n", " <td>0.616226</td>\n", " <td>1.022606</td>\n", " <td>0.612277</td>\n", " <td>0.498835</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>29.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>94.000000</td>\n", " <td>126.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>71.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>47.500000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>120.000000</td>\n", " <td>211.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>133.500000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>2.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>55.000000</td>\n", " <td>1.000000</td>\n", " <td>1.000000</td>\n", " <td>130.000000</td>\n", " <td>240.000000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>153.000000</td>\n", " <td>0.000000</td>\n", " <td>0.800000</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>2.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>61.000000</td>\n", " <td>1.000000</td>\n", " <td>2.000000</td>\n", " <td>140.000000</td>\n", " <td>274.500000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>166.000000</td>\n", " <td>1.000000</td>\n", " <td>1.600000</td>\n", " <td>2.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>90%</th>\n", " <td>66.000000</td>\n", " <td>1.000000</td>\n", " <td>2.000000</td>\n", " <td>152.000000</td>\n", " <td>308.800000</td>\n", " <td>1.000000</td>\n", " <td>1.000000</td>\n", " <td>176.600000</td>\n", " <td>1.000000</td>\n", " <td>2.800000</td>\n", " <td>2.000000</td>\n", " <td>2.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>95%</th>\n", " <td>68.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>160.000000</td>\n", " <td>326.900000</td>\n", " <td>1.000000</td>\n", " <td>1.000000</td>\n", " <td>181.900000</td>\n", " <td>1.000000</td>\n", " <td>3.400000</td>\n", " <td>2.000000</td>\n", " <td>3.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>98%</th>\n", " <td>70.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>177.840000</td>\n", " <td>353.960000</td>\n", " <td>1.000000</td>\n", " <td>1.000000</td>\n", " <td>186.960000</td>\n", " <td>1.000000</td>\n", " <td>4.000000</td>\n", " <td>2.000000</td>\n", " <td>3.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>99%</th>\n", " <td>71.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>180.000000</td>\n", " <td>406.740000</td>\n", " <td>1.000000</td>\n", " <td>1.980000</td>\n", " <td>191.960000</td>\n", " <td>1.000000</td>\n", " <td>4.200000</td>\n", " <td>2.000000</td>\n", " <td>4.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>77.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>200.000000</td>\n", " <td>564.000000</td>\n", " <td>1.000000</td>\n", " <td>2.000000</td>\n", " <td>202.000000</td>\n", " <td>1.000000</td>\n", " <td>6.200000</td>\n", " <td>2.000000</td>\n", " <td>4.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " age sex cp trtbps chol fbs \\\n", "count 303.000000 303.000000 303.000000 303.000000 303.000000 303.000000 \n", "mean 54.366337 0.683168 0.966997 131.623762 246.264026 0.148515 \n", "std 9.082101 0.466011 1.032052 17.538143 51.830751 0.356198 \n", "min 29.000000 0.000000 0.000000 94.000000 126.000000 0.000000 \n", "25% 47.500000 0.000000 0.000000 120.000000 211.000000 0.000000 \n", "50% 55.000000 1.000000 1.000000 130.000000 240.000000 0.000000 \n", "75% 61.000000 1.000000 2.000000 140.000000 274.500000 0.000000 \n", "90% 66.000000 1.000000 2.000000 152.000000 308.800000 1.000000 \n", "95% 68.000000 1.000000 3.000000 160.000000 326.900000 1.000000 \n", "98% 70.000000 1.000000 3.000000 177.840000 353.960000 1.000000 \n", "99% 71.000000 1.000000 3.000000 180.000000 406.740000 1.000000 \n", "max 77.000000 1.000000 3.000000 200.000000 564.000000 1.000000 \n", "\n", " restecg thalachh exng oldpeak slp caa \\\n", "count 303.000000 303.000000 303.000000 303.000000 303.000000 303.000000 \n", "mean 0.528053 149.646865 0.326733 1.039604 1.399340 0.729373 \n", "std 0.525860 22.905161 0.469794 1.161075 0.616226 1.022606 \n", "min 0.000000 71.000000 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 133.500000 0.000000 0.000000 1.000000 0.000000 \n", "50% 1.000000 153.000000 0.000000 0.800000 1.000000 0.000000 \n", "75% 1.000000 166.000000 1.000000 1.600000 2.000000 1.000000 \n", "90% 1.000000 176.600000 1.000000 2.800000 2.000000 2.000000 \n", "95% 1.000000 181.900000 1.000000 3.400000 2.000000 3.000000 \n", "98% 1.000000 186.960000 1.000000 4.000000 2.000000 3.000000 \n", "99% 1.980000 191.960000 1.000000 4.200000 2.000000 4.000000 \n", "max 2.000000 202.000000 1.000000 6.200000 2.000000 4.000000 \n", "\n", " thall output \n", "count 303.000000 303.000000 \n", "mean 2.313531 0.544554 \n", "std 0.612277 0.498835 \n", "min 0.000000 0.000000 \n", "25% 2.000000 0.000000 \n", "50% 2.000000 1.000000 \n", "75% 3.000000 1.000000 \n", "90% 3.000000 1.000000 \n", "95% 3.000000 1.000000 \n", "98% 3.000000 1.000000 \n", "99% 3.000000 1.000000 \n", "max 3.000000 1.000000 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Descriptive Statistics of the numerical colums and percentile to find any potential outliers...\n", "\n", "df.describe(percentiles=[0.25,0.5,0.75,0.90,0.95,0.98,0.99])" ] }, { "cell_type": "markdown", "id": "c93f65d5", "metadata": { "papermill": { "duration": 0.03668, "end_time": "2021-08-07T18:46:45.116783", "exception": false, "start_time": "2021-08-07T18:46:45.080103", "status": "completed" }, "tags": [] }, "source": [ "### Step2: Performing a brief Exploratory Data Analysis (EDA) 📊📉📈" ] }, { "cell_type": "code", "execution_count": 6, "id": "b156ac9b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:45.207808Z", "iopub.status.busy": "2021-08-07T18:46:45.207109Z", "iopub.status.idle": "2021-08-07T18:46:45.308473Z", "shell.execute_reply": "2021-08-07T18:46:45.307991Z", "shell.execute_reply.started": "2021-08-07T18:44:42.616875Z" }, "papermill": { "duration": 0.155587, "end_time": "2021-08-07T18:46:45.308610", "exception": false, "start_time": "2021-08-07T18:46:45.153023", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"age\"\n", "\n", "sns.boxplot(df[\"age\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "6274acde", "metadata": { "papermill": { "duration": 0.036188, "end_time": "2021-08-07T18:46:45.381658", "exception": false, "start_time": "2021-08-07T18:46:45.345470", "status": "completed" }, "tags": [] }, "source": [ "- No outliers detected." ] }, { "cell_type": "code", "execution_count": 7, "id": "85ab39f4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:45.461320Z", "iopub.status.busy": "2021-08-07T18:46:45.460607Z", "iopub.status.idle": "2021-08-07T18:46:45.463804Z", "shell.execute_reply": "2021-08-07T18:46:45.463347Z", "shell.execute_reply.started": "2021-08-07T18:44:42.764882Z" }, "papermill": { "duration": 0.04601, "end_time": "2021-08-07T18:46:45.463956", "exception": false, "start_time": "2021-08-07T18:46:45.417946", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "1 207\n", "0 96\n", "Name: sex, dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Understanding the feature: \"sex\"\n", "\n", "df['sex'].value_counts()" ] }, { "cell_type": "code", "execution_count": 8, "id": "2e81a386", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:45.549381Z", "iopub.status.busy": "2021-08-07T18:46:45.548541Z", "iopub.status.idle": "2021-08-07T18:46:45.712555Z", "shell.execute_reply": "2021-08-07T18:46:45.711993Z", "shell.execute_reply.started": "2021-08-07T18:44:42.775433Z" }, "papermill": { "duration": 0.21149, "end_time": "2021-08-07T18:46:45.712697", "exception": false, "start_time": "2021-08-07T18:46:45.501207", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"sex\" Assuming 0=Female and 1=Male (No Metadata was provided for gender)\n", "\n", "sns.barplot(x = df[\"sex\"], y = df[\"output\"])\n", "plt.xticks(ticks=[0,1], labels=['Female','Male'])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "91f5c325", "metadata": { "papermill": { "duration": 0.038152, "end_time": "2021-08-07T18:46:45.789513", "exception": false, "start_time": "2021-08-07T18:46:45.751361", "status": "completed" }, "tags": [] }, "source": [ "- Majority of people who have heart disease are \"Male\"." ] }, { "cell_type": "code", "execution_count": 9, "id": "69688627", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:45.885655Z", "iopub.status.busy": "2021-08-07T18:46:45.872877Z", "iopub.status.idle": "2021-08-07T18:46:45.964635Z", "shell.execute_reply": "2021-08-07T18:46:45.964113Z", "shell.execute_reply.started": "2021-08-07T18:44:42.982381Z" }, "papermill": { "duration": 0.136438, "end_time": "2021-08-07T18:46:45.964763", "exception": false, "start_time": "2021-08-07T18:46:45.828325", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"trtbps\"\n", "\n", "sns.boxplot(df[\"trtbps\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b928563f", "metadata": { "papermill": { "duration": 0.038393, "end_time": "2021-08-07T18:46:46.041252", "exception": false, "start_time": "2021-08-07T18:46:46.002859", "status": "completed" }, "tags": [] }, "source": [ "- This feature for resting blood pressure contains outliers.\n", "- But since they are not so severe, we are going to let them be." ] }, { "cell_type": "code", "execution_count": 10, "id": "abb2feec", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:46.141709Z", "iopub.status.busy": "2021-08-07T18:46:46.139517Z", "iopub.status.idle": "2021-08-07T18:46:46.209068Z", "shell.execute_reply": "2021-08-07T18:46:46.208587Z", "shell.execute_reply.started": "2021-08-07T18:44:43.100104Z" }, "papermill": { "duration": 0.129311, "end_time": "2021-08-07T18:46:46.209224", "exception": false, "start_time": "2021-08-07T18:46:46.079913", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"chol\"\n", "\n", "sns.boxplot(df[\"chol\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "a69fb2d0", "metadata": { "papermill": { "duration": 0.038475, "end_time": "2021-08-07T18:46:46.286197", "exception": false, "start_time": "2021-08-07T18:46:46.247722", "status": "completed" }, "tags": [] }, "source": [ "- Here, we can see that cholestrol has a very high value. \n", "- In this case, we need to remove it." ] }, { "cell_type": "code", "execution_count": 11, "id": "a233c8d7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:46.370008Z", "iopub.status.busy": "2021-08-07T18:46:46.369074Z", "iopub.status.idle": "2021-08-07T18:46:46.579759Z", "shell.execute_reply": "2021-08-07T18:46:46.580246Z", "shell.execute_reply.started": "2021-08-07T18:44:43.207965Z" }, "papermill": { "duration": 0.25569, "end_time": "2021-08-07T18:46:46.580427", "exception": false, "start_time": "2021-08-07T18:46:46.324737", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Removing the top 1 percentile...\n", "\n", "Q3 = df[\"chol\"].quantile(0.99)\n", "df = df[df[\"chol\"] <= Q3]\n", "sns.boxplot(df[\"chol\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3b57e5df", "metadata": { "papermill": { "duration": 0.038486, "end_time": "2021-08-07T18:46:46.657869", "exception": false, "start_time": "2021-08-07T18:46:46.619383", "status": "completed" }, "tags": [] }, "source": [ "- Now, we can observe that there are no outliers as such." ] }, { "cell_type": "code", "execution_count": 12, "id": "361e7683", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:46.739527Z", "iopub.status.busy": "2021-08-07T18:46:46.738624Z", "iopub.status.idle": "2021-08-07T18:46:46.745197Z", "shell.execute_reply": "2021-08-07T18:46:46.745652Z", "shell.execute_reply.started": "2021-08-07T18:44:43.493917Z" }, "papermill": { "duration": 0.048418, "end_time": "2021-08-07T18:46:46.745805", "exception": false, "start_time": "2021-08-07T18:46:46.697387", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0 255\n", "1 44\n", "Name: fbs, dtype: int64" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Visualizing the feature: \"fbs\"\n", "\n", "df['fbs'].value_counts()" ] }, { "cell_type": "code", "execution_count": 13, "id": "86f2aff2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:46.829049Z", "iopub.status.busy": "2021-08-07T18:46:46.828109Z", "iopub.status.idle": "2021-08-07T18:46:46.975707Z", "shell.execute_reply": "2021-08-07T18:46:46.976201Z", "shell.execute_reply.started": "2021-08-07T18:44:43.502290Z" }, "papermill": { "duration": 0.191008, "end_time": "2021-08-07T18:46:46.976368", "exception": false, "start_time": "2021-08-07T18:46:46.785360", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"fbs\"\n", "\n", "sns.barplot(x = df[\"fbs\"], y = df[\"output\"])\n", "plt.xticks(ticks=[0,1], labels=['False','True'])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "8ab68dde", "metadata": { "papermill": { "duration": 0.04001, "end_time": "2021-08-07T18:46:47.056412", "exception": false, "start_time": "2021-08-07T18:46:47.016402", "status": "completed" }, "tags": [] }, "source": [ "- Here, we do not observe any significant differences." ] }, { "cell_type": "code", "execution_count": 14, "id": "b7772d48", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:47.139466Z", "iopub.status.busy": "2021-08-07T18:46:47.138578Z", "iopub.status.idle": "2021-08-07T18:46:47.242219Z", "shell.execute_reply": "2021-08-07T18:46:47.242625Z", "shell.execute_reply.started": "2021-08-07T18:44:43.688963Z" }, "papermill": { "duration": 0.146447, "end_time": "2021-08-07T18:46:47.242793", "exception": false, "start_time": "2021-08-07T18:46:47.096346", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"restecg\"\n", "\n", "sns.boxplot(df[\"restecg\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d1bc7f9a", "metadata": { "papermill": { "duration": 0.039819, "end_time": "2021-08-07T18:46:47.322980", "exception": false, "start_time": "2021-08-07T18:46:47.283161", "status": "completed" }, "tags": [] }, "source": [ "- No outliers detected." ] }, { "cell_type": "code", "execution_count": 15, "id": "baba6437", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:47.407218Z", "iopub.status.busy": "2021-08-07T18:46:47.406291Z", "iopub.status.idle": "2021-08-07T18:46:47.502522Z", "shell.execute_reply": "2021-08-07T18:46:47.502923Z", "shell.execute_reply.started": "2021-08-07T18:44:43.821123Z" }, "papermill": { "duration": 0.139677, "end_time": "2021-08-07T18:46:47.503103", "exception": false, "start_time": "2021-08-07T18:46:47.363426", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"thalachh\"\n", "\n", "sns.boxplot(df[\"thalachh\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3d66d25b", "metadata": { "papermill": { "duration": 0.040161, "end_time": "2021-08-07T18:46:47.583805", "exception": false, "start_time": "2021-08-07T18:46:47.543644", "status": "completed" }, "tags": [] }, "source": [ "- Over here, we see a slight outlier in the feature, but it is acceptable. It is not a huge outlier." ] }, { "cell_type": "code", "execution_count": 16, "id": "80e06a9f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:47.669550Z", "iopub.status.busy": "2021-08-07T18:46:47.668622Z", "iopub.status.idle": "2021-08-07T18:46:47.675289Z", "shell.execute_reply": "2021-08-07T18:46:47.675689Z", "shell.execute_reply.started": "2021-08-07T18:44:43.936713Z" }, "papermill": { "duration": 0.051151, "end_time": "2021-08-07T18:46:47.675853", "exception": false, "start_time": "2021-08-07T18:46:47.624702", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0 201\n", "1 98\n", "Name: exng, dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Understanding the feature: \"exng\"\n", "\n", "df['exng'].value_counts()" ] }, { "cell_type": "code", "execution_count": 17, "id": "3ca38ea2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:47.761215Z", "iopub.status.busy": "2021-08-07T18:46:47.760290Z", "iopub.status.idle": "2021-08-07T18:46:47.915451Z", "shell.execute_reply": "2021-08-07T18:46:47.914723Z", "shell.execute_reply.started": "2021-08-07T18:44:43.944545Z" }, "papermill": { "duration": 0.198365, "end_time": "2021-08-07T18:46:47.915602", "exception": false, "start_time": "2021-08-07T18:46:47.717237", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"exng\"\n", "\n", "sns.barplot(x = df[\"exng\"], y = df[\"output\"])\n", "plt.xticks(ticks=[0,1], labels=['No','Yes'])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "73654e8d", "metadata": { "papermill": { "duration": 0.043099, "end_time": "2021-08-07T18:46:48.000694", "exception": false, "start_time": "2021-08-07T18:46:47.957595", "status": "completed" }, "tags": [] }, "source": [ "- Heart Attack due to Exercise Induced Angina is less." ] }, { "cell_type": "code", "execution_count": 18, "id": "c3825ffc", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.105911Z", "iopub.status.busy": "2021-08-07T18:46:48.100551Z", "iopub.status.idle": "2021-08-07T18:46:48.186543Z", "shell.execute_reply": "2021-08-07T18:46:48.186998Z", "shell.execute_reply.started": "2021-08-07T18:44:44.142499Z" }, "papermill": { "duration": 0.144848, "end_time": "2021-08-07T18:46:48.187177", "exception": false, "start_time": "2021-08-07T18:46:48.042329", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the feature: \"oldpeak\"\n", "\n", "sns.boxplot(df[\"oldpeak\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "a83ca25d", "metadata": { "papermill": { "duration": 0.041474, "end_time": "2021-08-07T18:46:48.270645", "exception": false, "start_time": "2021-08-07T18:46:48.229171", "status": "completed" }, "tags": [] }, "source": [ "- We can definitely see that there are some outliers and they have to be handled." ] }, { "cell_type": "code", "execution_count": 19, "id": "abe51ab5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.381741Z", "iopub.status.busy": "2021-08-07T18:46:48.378505Z", "iopub.status.idle": "2021-08-07T18:46:48.450222Z", "shell.execute_reply": "2021-08-07T18:46:48.449724Z", "shell.execute_reply.started": "2021-08-07T18:44:44.262092Z" }, "papermill": { "duration": 0.137797, "end_time": "2021-08-07T18:46:48.450377", "exception": false, "start_time": "2021-08-07T18:46:48.312580", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Removing the top 1 percentile...\n", "\n", "Q3 = df[\"oldpeak\"].quantile(0.99)\n", "df = df[df[\"oldpeak\"] <= Q3]\n", "sns.boxplot(df[\"oldpeak\"])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ef9d37e9", "metadata": { "papermill": { "duration": 0.042153, "end_time": "2021-08-07T18:46:48.535191", "exception": false, "start_time": "2021-08-07T18:46:48.493038", "status": "completed" }, "tags": [] }, "source": [ "### Step3: Performing the 🚂 train_test_split and Building the Model 🤖 Decision Tree 🌳" ] }, { "cell_type": "code", "execution_count": 20, "id": "b2b16284", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.624994Z", "iopub.status.busy": "2021-08-07T18:46:48.624426Z", "iopub.status.idle": "2021-08-07T18:46:48.627030Z", "shell.execute_reply": "2021-08-07T18:46:48.626570Z", "shell.execute_reply.started": "2021-08-07T18:44:44.370554Z" }, "papermill": { "duration": 0.049532, "end_time": "2021-08-07T18:46:48.627190", "exception": false, "start_time": "2021-08-07T18:46:48.577658", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Seperating the target(y) and the independent(X) features...\n", "\n", "y = df.pop(\"output\")\n", "X = df" ] }, { "cell_type": "code", "execution_count": 21, "id": "0a3e0327", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.718908Z", "iopub.status.busy": "2021-08-07T18:46:48.717959Z", "iopub.status.idle": "2021-08-07T18:46:48.721390Z", "shell.execute_reply": "2021-08-07T18:46:48.720782Z", "shell.execute_reply.started": "2021-08-07T18:44:44.377963Z" }, "papermill": { "duration": 0.051753, "end_time": "2021-08-07T18:46:48.721525", "exception": false, "start_time": "2021-08-07T18:46:48.669772", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Performing the train_test_split...\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7, random_state = 42)" ] }, { "cell_type": "code", "execution_count": 22, "id": "9cb2f041", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.811436Z", "iopub.status.busy": "2021-08-07T18:46:48.810630Z", "iopub.status.idle": "2021-08-07T18:46:48.814792Z", "shell.execute_reply": "2021-08-07T18:46:48.814247Z", "shell.execute_reply.started": "2021-08-07T18:44:44.394703Z" }, "papermill": { "duration": 0.051103, "end_time": "2021-08-07T18:46:48.814933", "exception": false, "start_time": "2021-08-07T18:46:48.763830", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "((207, 13), (207,))" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Verifying the split...\n", "\n", "X_train.shape, y_train.shape" ] }, { "cell_type": "code", "execution_count": 23, "id": "deea65df", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:48.909192Z", "iopub.status.busy": "2021-08-07T18:46:48.907415Z", "iopub.status.idle": "2021-08-07T18:46:48.916009Z", "shell.execute_reply": "2021-08-07T18:46:48.915440Z", "shell.execute_reply.started": "2021-08-07T18:44:44.413961Z" }, "papermill": { "duration": 0.057738, "end_time": "2021-08-07T18:46:48.916161", "exception": false, "start_time": "2021-08-07T18:46:48.858423", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "DecisionTreeClassifier(max_depth=3)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Building a random Decision Tree as our first model. Here we will not tune it. Instead define a max_depth of 3\n", "\n", "dt = DecisionTreeClassifier(max_depth = 3)\n", "\n", "dt.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 24, "id": "e03a5df1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:49.029541Z", "iopub.status.busy": "2021-08-07T18:46:49.022460Z", "iopub.status.idle": "2021-08-07T18:46:50.460683Z", "shell.execute_reply": "2021-08-07T18:46:50.461150Z", "shell.execute_reply.started": "2021-08-07T18:44:44.436953Z" }, "papermill": { "duration": 1.501912, "end_time": "2021-08-07T18:46:50.461315", "exception": false, "start_time": "2021-08-07T18:46:48.959403", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 4320x2160 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the result from the Decision Tree\n", "\n", "plt.figure(figsize=(60,30))\n", "plot_tree(dt, feature_names = X.columns, class_names=['No Disease', \"Disease\"], filled=True);" ] }, { "cell_type": "markdown", "id": "84c21633", "metadata": { "papermill": { "duration": 0.058427, "end_time": "2021-08-07T18:46:50.577845", "exception": false, "start_time": "2021-08-07T18:46:50.519418", "status": "completed" }, "tags": [] }, "source": [ "- From the diagram above, we can observe that people with a chest pain category of 1 or above are high risk for Heart Attacks." ] }, { "cell_type": "code", "execution_count": 25, "id": "c71575e7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:50.703172Z", "iopub.status.busy": "2021-08-07T18:46:50.701205Z", "iopub.status.idle": "2021-08-07T18:46:50.706459Z", "shell.execute_reply": "2021-08-07T18:46:50.705861Z", "shell.execute_reply.started": "2021-08-07T18:44:45.995042Z" }, "papermill": { "duration": 0.070209, "end_time": "2021-08-07T18:46:50.706601", "exception": false, "start_time": "2021-08-07T18:46:50.636392", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Finding the y_train_pred and the y_test_pred... 🔮\n", "\n", "y_train_pred = dt.predict(X_train)\n", "y_test_pred = dt.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 26, "id": "7fb30371", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:50.832379Z", "iopub.status.busy": "2021-08-07T18:46:50.829183Z", "iopub.status.idle": "2021-08-07T18:46:50.837699Z", "shell.execute_reply": "2021-08-07T18:46:50.838103Z", "shell.execute_reply.started": "2021-08-07T18:44:46.005434Z" }, "papermill": { "duration": 0.072173, "end_time": "2021-08-07T18:46:50.838285", "exception": false, "start_time": "2021-08-07T18:46:50.766112", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Confusion Matrix for training set:\n", "\n", "[[ 72 26]\n", " [ 6 103]]\n", "*******************\n", "Confusion Matrix for test set:\n", "\n", "[[28 7]\n", " [ 6 48]]\n" ] } ], "source": [ "# Evaluating the model: (Confusion Matrix) 🤔😥⁉\n", "\n", "print(\"Confusion Matrix for training set:\\n\")\n", "print(confusion_matrix(y_train, y_train_pred))\n", "print(''20)\n", "print(\"Confusion Matrix for test set:\\n\")\n", "print(confusion_matrix(y_test, y_test_pred))" ] }, { "cell_type": "code", "execution_count": 27, "id": "a9de36c7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:50.962334Z", "iopub.status.busy": "2021-08-07T18:46:50.961723Z", "iopub.status.idle": "2021-08-07T18:46:50.965189Z", "shell.execute_reply": "2021-08-07T18:46:50.964396Z", "shell.execute_reply.started": "2021-08-07T18:44:46.026378Z" }, "papermill": { "duration": 0.068058, "end_time": "2021-08-07T18:46:50.965364", "exception": false, "start_time": "2021-08-07T18:46:50.897306", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy on the training set: 0.8454106280193237\n", "******************\n", "Accuracy on the test set: 0.8539325842696629\n" ] } ], "source": [ "# Evaluating the model: (Accuracy) 🦾\n", "\n", "print(\"Accuracy on the training set: \" + str(accuracy_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Accuracy on the test set: \" + str(accuracy_score(y_test, y_test_pred)))" ] }, { "cell_type": "code", "execution_count": 28, "id": "bc810803", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.092669Z", "iopub.status.busy": "2021-08-07T18:46:51.090413Z", "iopub.status.idle": "2021-08-07T18:46:51.095569Z", "shell.execute_reply": "2021-08-07T18:46:51.094981Z", "shell.execute_reply.started": "2021-08-07T18:44:46.039385Z" }, "papermill": { "duration": 0.069663, "end_time": "2021-08-07T18:46:51.095704", "exception": false, "start_time": "2021-08-07T18:46:51.026041", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision on the training set: 0.7984496124031008\n", "******************\n", "Precision on the test set: 0.8727272727272727\n" ] } ], "source": [ "# Evaluating the model: (Precision)🎯\n", "\n", "print(\"Precision on the training set: \" + str(precision_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Precision on the test set: \" + str(precision_score(y_test, y_test_pred)))" ] }, { "cell_type": "code", "execution_count": 29, "id": "23f094b6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.224917Z", "iopub.status.busy": "2021-08-07T18:46:51.224299Z", "iopub.status.idle": "2021-08-07T18:46:51.226711Z", "shell.execute_reply": "2021-08-07T18:46:51.227176Z", "shell.execute_reply.started": "2021-08-07T18:44:46.057422Z" }, "papermill": { "duration": 0.070664, "end_time": "2021-08-07T18:46:51.227355", "exception": false, "start_time": "2021-08-07T18:46:51.156691", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Recall on the training set: 0.944954128440367\n", "******************\n", "Recall on the test set: 0.8888888888888888\n" ] } ], "source": [ "# Evaluating the model: (Recall) 🤔\n", "\n", "print(\"Recall on the training set: \" + str(recall_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Recall on the test set: \" + str(recall_score(y_test, y_test_pred)))" ] }, { "cell_type": "markdown", "id": "0e981a09", "metadata": { "papermill": { "duration": 0.060144, "end_time": "2021-08-07T18:46:51.347399", "exception": false, "start_time": "2021-08-07T18:46:51.287255", "status": "completed" }, "tags": [] }, "source": [ "- From the above metrics used for evaluating the model, we can see that our model is underfitting.\n", "- We need to perform some hyperparameter tuning to this model." ] }, { "cell_type": "markdown", "id": "49d00289", "metadata": { "papermill": { "duration": 0.060077, "end_time": "2021-08-07T18:46:51.467586", "exception": false, "start_time": "2021-08-07T18:46:51.407509", "status": "completed" }, "tags": [] }, "source": [ "### Step4: Hyper-parameter Tuning 🔧 for Decision Tree 🌳" ] }, { "cell_type": "code", "execution_count": 30, "id": "a9c5e6fd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.590168Z", "iopub.status.busy": "2021-08-07T18:46:51.589556Z", "iopub.status.idle": "2021-08-07T18:46:51.596665Z", "shell.execute_reply": "2021-08-07T18:46:51.596085Z", "shell.execute_reply.started": "2021-08-07T18:44:46.071807Z" }, "papermill": { "duration": 0.069072, "end_time": "2021-08-07T18:46:51.596793", "exception": false, "start_time": "2021-08-07T18:46:51.527721", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Creating an object of the class DecisionTreeClassifier() and assigning a random_state\n", "\n", "dt = DecisionTreeClassifier(random_state=42)" ] }, { "cell_type": "code", "execution_count": 31, "id": "78df291f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.722803Z", "iopub.status.busy": "2021-08-07T18:46:51.721899Z", "iopub.status.idle": "2021-08-07T18:46:51.725634Z", "shell.execute_reply": "2021-08-07T18:46:51.726054Z", "shell.execute_reply.started": "2021-08-07T18:44:46.080129Z" }, "papermill": { "duration": 0.069856, "end_time": "2021-08-07T18:46:51.726239", "exception": false, "start_time": "2021-08-07T18:46:51.656383", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "'\\nDifferent combinations were tried out for max_depth and min_samples_leaf and this set seem to give a good model.\\nTrying out all the different combinations were avoided to keep the notebook clean and crisp.\\nYou can try out different combination in the list or even tune some other hyper-parameters.\\nAs of now, i will stick with this. :)\\n'" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Defining the parameters for the param_grid for our Grid Search...\n", "\n", "params = {\n", " 'max_depth':[2,3,10,15,20],\n", " 'min_samples_leaf':[2,3,5,8,10,12,15,20],\n", " 'criterion':['gini','entropy']\n", "}\n", "\n", "'''\n", "Different combinations were tried out for max_depth and min_samples_leaf and this set seem to give a good model.\n", "Trying out all the different combinations were avoided to keep the notebook clean and crisp.\n", "You can try out different combination in the list or even tune some other hyper-parameters.\n", "As of now, i will stick with this. :)\n", "'''" ] }, { "cell_type": "code", "execution_count": 32, "id": "16c38ca3", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.851409Z", "iopub.status.busy": "2021-08-07T18:46:51.850500Z", "iopub.status.idle": "2021-08-07T18:46:51.853693Z", "shell.execute_reply": "2021-08-07T18:46:51.853115Z", "shell.execute_reply.started": "2021-08-07T18:44:46.098465Z" }, "papermill": { "duration": 0.067833, "end_time": "2021-08-07T18:46:51.853823", "exception": false, "start_time": "2021-08-07T18:46:51.785990", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Now, we will let GridSearchCV try out all the possible combination of the hyperparameters for our Decision Tree\n", "\n", "grid_search = GridSearchCV(estimator=dt, param_grid=params, cv=4, n_jobs=-1, verbose=1, scoring='accuracy')" ] }, { "cell_type": "code", "execution_count": 33, "id": "b6f71c23", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:51.980529Z", "iopub.status.busy": "2021-08-07T18:46:51.979878Z", "iopub.status.idle": "2021-08-07T18:46:55.137542Z", "shell.execute_reply": "2021-08-07T18:46:55.137968Z", "shell.execute_reply.started": "2021-08-07T18:44:46.115556Z" }, "papermill": { "duration": 3.223905, "end_time": "2021-08-07T18:46:55.138159", "exception": false, "start_time": "2021-08-07T18:46:51.914254", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fitting 4 folds for each of 80 candidates, totalling 320 fits\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=-1)]: Done 68 tasks \| elapsed: 2.5s\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 621 ms, sys: 60.9 ms, total: 682 ms\n", "Wall time: 3.15 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[Parallel(n_jobs=-1)]: Done 320 out of 320 \| elapsed: 3.1s finished\n" ] }, { "data": { "text/plain": [ "GridSearchCV(cv=4, estimator=DecisionTreeClassifier(random_state=42), n_jobs=-1,\n", " param_grid={'criterion': ['gini', 'entropy'],\n", " 'max_depth': [2, 3, 10, 15, 20],\n", " 'min_samples_leaf': [2, 3, 5, 8, 10, 12, 15, 20]},\n", " scoring='accuracy', verbose=1)" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "grid_search.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 34, "id": "eed43907", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.268943Z", "iopub.status.busy": "2021-08-07T18:46:55.268000Z", "iopub.status.idle": "2021-08-07T18:46:55.270379Z", "shell.execute_reply": "2021-08-07T18:46:55.270765Z", "shell.execute_reply.started": "2021-08-07T18:44:48.899602Z" }, "papermill": { "duration": 0.07139, "end_time": "2021-08-07T18:46:55.270936", "exception": false, "start_time": "2021-08-07T18:46:55.199546", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Storing the results of all the combinations that had been tried in a dataframe.\n", "\n", "cv_df = pd.DataFrame(grid_search.cv_results_)" ] }, { "cell_type": "code", "execution_count": 35, "id": "2be057ab", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.421151Z", "iopub.status.busy": "2021-08-07T18:46:55.420517Z", "iopub.status.idle": "2021-08-07T18:46:55.425233Z", "shell.execute_reply": "2021-08-07T18:46:55.424658Z", "shell.execute_reply.started": "2021-08-07T18:44:48.905956Z" }, "papermill": { "duration": 0.093175, "end_time": "2021-08-07T18:46:55.425379", "exception": false, "start_time": "2021-08-07T18:46:55.332204", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>mean_fit_time</th>\n", " <th>std_fit_time</th>\n", " <th>mean_score_time</th>\n", " <th>std_score_time</th>\n", " <th>param_criterion</th>\n", " <th>param_max_depth</th>\n", " <th>param_min_samples_leaf</th>\n", " <th>params</th>\n", " <th>split0_test_score</th>\n", " <th>split1_test_score</th>\n", " <th>split2_test_score</th>\n", " <th>split3_test_score</th>\n", " <th>mean_test_score</th>\n", " <th>std_test_score</th>\n", " <th>rank_test_score</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0.005619</td>\n", " <td>0.000140</td>\n", " <td>0.003298</td>\n", " <td>0.000270</td>\n", " <td>gini</td>\n", " <td>2</td>\n", " <td>2</td>\n", " <td>{'criterion': 'gini', 'max_depth': 2, 'min_sam...</td>\n", " <td>0.846154</td>\n", " <td>0.673077</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.748586</td>\n", " <td>0.066089</td>\n", " <td>49</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0.005045</td>\n", " <td>0.000215</td>\n", " <td>0.004070</td>\n", " <td>0.001713</td>\n", " <td>gini</td>\n", " <td>2</td>\n", " <td>3</td>\n", " <td>{'criterion': 'gini', 'max_depth': 2, 'min_sam...</td>\n", " <td>0.846154</td>\n", " <td>0.673077</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.748586</td>\n", " <td>0.066089</td>\n", " <td>49</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>0.006376</td>\n", " <td>0.001519</td>\n", " <td>0.004181</td>\n", " <td>0.001416</td>\n", " <td>gini</td>\n", " <td>2</td>\n", " <td>5</td>\n", " <td>{'criterion': 'gini', 'max_depth': 2, 'min_sam...</td>\n", " <td>0.846154</td>\n", " <td>0.673077</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.748586</td>\n", " <td>0.066089</td>\n", " <td>49</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>0.005826</td>\n", " <td>0.000640</td>\n", " <td>0.003643</td>\n", " <td>0.000950</td>\n", " <td>gini</td>\n", " <td>2</td>\n", " <td>8</td>\n", " <td>{'criterion': 'gini', 'max_depth': 2, 'min_sam...</td>\n", " <td>0.846154</td>\n", " <td>0.673077</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.748586</td>\n", " <td>0.066089</td>\n", " <td>49</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>0.004886</td>\n", " <td>0.000459</td>\n", " <td>0.003012</td>\n", " <td>0.000622</td>\n", " <td>gini</td>\n", " <td>2</td>\n", " <td>10</td>\n", " <td>{'criterion': 'gini', 'max_depth': 2, 'min_sam...</td>\n", " <td>0.846154</td>\n", " <td>0.673077</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.748586</td>\n", " <td>0.066089</td>\n", " <td>49</td>\n", " </tr>\n", " <tr>\n", " <th>...</th>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " </tr>\n", " <tr>\n", " <th>75</th>\n", " <td>0.005123</td>\n", " <td>0.000227</td>\n", " <td>0.003084</td>\n", " <td>0.000055</td>\n", " <td>entropy</td>\n", " <td>20</td>\n", " <td>8</td>\n", " <td>{'criterion': 'entropy', 'max_depth': 20, 'min...</td>\n", " <td>0.769231</td>\n", " <td>0.769231</td>\n", " <td>0.788462</td>\n", " <td>0.745098</td>\n", " <td>0.768005</td>\n", " <td>0.015380</td>\n", " <td>19</td>\n", " </tr>\n", " <tr>\n", " <th>76</th>\n", " <td>0.005148</td>\n", " <td>0.001126</td>\n", " <td>0.002827</td>\n", " <td>0.000546</td>\n", " <td>entropy</td>\n", " <td>20</td>\n", " <td>10</td>\n", " <td>{'criterion': 'entropy', 'max_depth': 20, 'min...</td>\n", " <td>0.846154</td>\n", " <td>0.769231</td>\n", " <td>0.788462</td>\n", " <td>0.823529</td>\n", " <td>0.806844</td>\n", " <td>0.029901</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>77</th>\n", " <td>0.005925</td>\n", " <td>0.000937</td>\n", " <td>0.004497</td>\n", " <td>0.002311</td>\n", " <td>entropy</td>\n", " <td>20</td>\n", " <td>12</td>\n", " <td>{'criterion': 'entropy', 'max_depth': 20, 'min...</td>\n", " <td>0.865385</td>\n", " <td>0.730769</td>\n", " <td>0.788462</td>\n", " <td>0.784314</td>\n", " <td>0.792232</td>\n", " <td>0.047974</td>\n", " <td>9</td>\n", " </tr>\n", " <tr>\n", " <th>78</th>\n", " <td>0.005389</td>\n", " <td>0.000078</td>\n", " <td>0.003018</td>\n", " <td>0.000161</td>\n", " <td>entropy</td>\n", " <td>20</td>\n", " <td>15</td>\n", " <td>{'criterion': 'entropy', 'max_depth': 20, 'min...</td>\n", " <td>0.826923</td>\n", " <td>0.692308</td>\n", " <td>0.788462</td>\n", " <td>0.725490</td>\n", " <td>0.758296</td>\n", " <td>0.052560</td>\n", " <td>27</td>\n", " </tr>\n", " <tr>\n", " <th>79</th>\n", " <td>0.004788</td>\n", " <td>0.000684</td>\n", " <td>0.002597</td>\n", " <td>0.000626</td>\n", " <td>entropy</td>\n", " <td>20</td>\n", " <td>20</td>\n", " <td>{'criterion': 'entropy', 'max_depth': 20, 'min...</td>\n", " <td>0.846154</td>\n", " <td>0.692308</td>\n", " <td>0.769231</td>\n", " <td>0.705882</td>\n", " <td>0.753394</td>\n", " <td>0.060918</td>\n", " <td>37</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>80 rows × 15 columns</p>\n", "</div>" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time \\\n", "0 0.005619 0.000140 0.003298 0.000270 \n", "1 0.005045 0.000215 0.004070 0.001713 \n", "2 0.006376 0.001519 0.004181 0.001416 \n", "3 0.005826 0.000640 0.003643 0.000950 \n", "4 0.004886 0.000459 0.003012 0.000622 \n", ".. ... ... ... ... \n", "75 0.005123 0.000227 0.003084 0.000055 \n", "76 0.005148 0.001126 0.002827 0.000546 \n", "77 0.005925 0.000937 0.004497 0.002311 \n", "78 0.005389 0.000078 0.003018 0.000161 \n", "79 0.004788 0.000684 0.002597 0.000626 \n", "\n", " param_criterion param_max_depth param_min_samples_leaf \\\n", "0 gini 2 2 \n", "1 gini 2 3 \n", "2 gini 2 5 \n", "3 gini 2 8 \n", "4 gini 2 10 \n", ".. ... ... ... \n", "75 entropy 20 8 \n", "76 entropy 20 10 \n", "77 entropy 20 12 \n", "78 entropy 20 15 \n", "79 entropy 20 20 \n", "\n", " params split0_test_score \\\n", "0 {'criterion': 'gini', 'max_depth': 2, 'min_sam... 0.846154 \n", "1 {'criterion': 'gini', 'max_depth': 2, 'min_sam... 0.846154 \n", "2 {'criterion': 'gini', 'max_depth': 2, 'min_sam... 0.846154 \n", "3 {'criterion': 'gini', 'max_depth': 2, 'min_sam... 0.846154 \n", "4 {'criterion': 'gini', 'max_depth': 2, 'min_sam... 0.846154 \n", ".. ... ... \n", "75 {'criterion': 'entropy', 'max_depth': 20, 'min... 0.769231 \n", "76 {'criterion': 'entropy', 'max_depth': 20, 'min... 0.846154 \n", "77 {'criterion': 'entropy', 'max_depth': 20, 'min... 0.865385 \n", "78 {'criterion': 'entropy', 'max_depth': 20, 'min... 0.826923 \n", "79 {'criterion': 'entropy', 'max_depth': 20, 'min... 0.846154 \n", "\n", " split1_test_score split2_test_score split3_test_score mean_test_score \\\n", "0 0.673077 0.769231 0.705882 0.748586 \n", "1 0.673077 0.769231 0.705882 0.748586 \n", "2 0.673077 0.769231 0.705882 0.748586 \n", "3 0.673077 0.769231 0.705882 0.748586 \n", "4 0.673077 0.769231 0.705882 0.748586 \n", ".. ... ... ... ... \n", "75 0.769231 0.788462 0.745098 0.768005 \n", "76 0.769231 0.788462 0.823529 0.806844 \n", "77 0.730769 0.788462 0.784314 0.792232 \n", "78 0.692308 0.788462 0.725490 0.758296 \n", "79 0.692308 0.769231 0.705882 0.753394 \n", "\n", " std_test_score rank_test_score \n", "0 0.066089 49 \n", "1 0.066089 49 \n", "2 0.066089 49 \n", "3 0.066089 49 \n", "4 0.066089 49 \n", ".. ... ... \n", "75 0.015380 19 \n", "76 0.029901 1 \n", "77 0.047974 9 \n", "78 0.052560 27 \n", "79 0.060918 37 \n", "\n", "[80 rows x 15 columns]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking all the different combinations\n", "\n", "cv_df" ] }, { "cell_type": "code", "execution_count": 36, "id": "9c3f7404", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.554899Z", "iopub.status.busy": "2021-08-07T18:46:55.554318Z", "iopub.status.idle": "2021-08-07T18:46:55.557827Z", "shell.execute_reply": "2021-08-07T18:46:55.557390Z", "shell.execute_reply.started": "2021-08-07T18:44:48.943420Z" }, "papermill": { "duration": 0.070306, "end_time": "2021-08-07T18:46:55.557957", "exception": false, "start_time": "2021-08-07T18:46:55.487651", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0.806843891402715" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Finding the best score...\n", "\n", "grid_search.best_score_" ] }, { "cell_type": "code", "execution_count": 37, "id": "aa0c0b1e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.687836Z", "iopub.status.busy": "2021-08-07T18:46:55.686987Z", "iopub.status.idle": "2021-08-07T18:46:55.691007Z", "shell.execute_reply": "2021-08-07T18:46:55.690458Z", "shell.execute_reply.started": "2021-08-07T18:44:48.957841Z" }, "papermill": { "duration": 0.07108, "end_time": "2021-08-07T18:46:55.691167", "exception": false, "start_time": "2021-08-07T18:46:55.620087", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "DecisionTreeClassifier(criterion='entropy', max_depth=10, min_samples_leaf=10,\n", " random_state=42)" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Finding the best hyper-parameters for the model...\n", "\n", "hyper_param = grid_search.best_estimator_\n", "hyper_param" ] }, { "cell_type": "code", "execution_count": 38, "id": "74e6fe37", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.824998Z", "iopub.status.busy": "2021-08-07T18:46:55.824044Z", "iopub.status.idle": "2021-08-07T18:46:55.830862Z", "shell.execute_reply": "2021-08-07T18:46:55.830346Z", "shell.execute_reply.started": "2021-08-07T18:44:48.975422Z" }, "papermill": { "duration": 0.076607, "end_time": "2021-08-07T18:46:55.830993", "exception": false, "start_time": "2021-08-07T18:46:55.754386", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "DecisionTreeClassifier(criterion='entropy', max_depth=10, min_samples_leaf=10,\n", " random_state=42)" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Assigning the hyper parameter and fitting the model\n", "\n", "dt_ = hyper_param\n", "\n", "dt_.fit(X_train, y_train)" ] }, { "cell_type": "code", "execution_count": 39, "id": "93562913", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:55.996609Z", "iopub.status.busy": "2021-08-07T18:46:55.995911Z", "iopub.status.idle": "2021-08-07T18:46:56.001086Z", "shell.execute_reply": "2021-08-07T18:46:56.001554Z", "shell.execute_reply.started": "2021-08-07T18:44:48.994624Z" }, "papermill": { "duration": 0.097928, "end_time": "2021-08-07T18:46:56.001747", "exception": false, "start_time": "2021-08-07T18:46:55.903819", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Predicting on the train and test... \n", "\n", "y_train_pred = dt_.predict(X_train)\n", "y_test_pred = dt_.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 40, "id": "4383c0d5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:56.133383Z", "iopub.status.busy": "2021-08-07T18:46:56.132762Z", "iopub.status.idle": "2021-08-07T18:46:56.141888Z", "shell.execute_reply": "2021-08-07T18:46:56.141280Z", "shell.execute_reply.started": "2021-08-07T18:44:49.009300Z" }, "papermill": { "duration": 0.07484, "end_time": "2021-08-07T18:46:56.142016", "exception": false, "start_time": "2021-08-07T18:46:56.067176", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Confusion Matrix for training set:\n", "\n", "[[83 15]\n", " [16 93]]\n", "******************\n", "Confusion Matrix for test set:\n", "\n", "[[32 3]\n", " [11 43]]\n" ] } ], "source": [ "# Evaluating the model: (Confusion Matrix) 🤔😥⁉\n", "\n", "print(\"Confusion Matrix for training set:\\n\")\n", "print(confusion_matrix(y_train, y_train_pred))\n", "print(''20)\n", "print(\"Confusion Matrix for test set:\\n\")\n", "print(confusion_matrix(y_test, y_test_pred))" ] }, { "cell_type": "code", "execution_count": 41, "id": "c71b20a9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:56.273872Z", "iopub.status.busy": "2021-08-07T18:46:56.273225Z", "iopub.status.idle": "2021-08-07T18:46:56.277198Z", "shell.execute_reply": "2021-08-07T18:46:56.276639Z", "shell.execute_reply.started": "2021-08-07T18:44:49.030056Z" }, "papermill": { "duration": 0.072075, "end_time": "2021-08-07T18:46:56.277329", "exception": false, "start_time": "2021-08-07T18:46:56.205254", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy on the training set: 0.8502415458937198\n", "******************\n", "Accuracy on the test set: 0.8426966292134831\n" ] } ], "source": [ "# Evaluating the model: (Accuracy) 🦾\n", "\n", "print(\"Accuracy on the training set: \" + str(accuracy_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Accuracy on the test set: \" + str(accuracy_score(y_test, y_test_pred)))" ] }, { "cell_type": "code", "execution_count": 42, "id": "9e3b119a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:56.407873Z", "iopub.status.busy": "2021-08-07T18:46:56.407277Z", "iopub.status.idle": "2021-08-07T18:46:56.415463Z", "shell.execute_reply": "2021-08-07T18:46:56.414969Z", "shell.execute_reply.started": "2021-08-07T18:44:49.044286Z" }, "papermill": { "duration": 0.07461, "end_time": "2021-08-07T18:46:56.415598", "exception": false, "start_time": "2021-08-07T18:46:56.340988", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Precision on the training set: 0.8611111111111112\n", "******************\n", "Precision on the test set: 0.9347826086956522\n" ] } ], "source": [ "# Evaluating the model: (Precision)🎯\n", "\n", "print(\"Precision on the training set: \" + str(precision_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Precision on the test set: \" + str(precision_score(y_test, y_test_pred)))" ] }, { "cell_type": "code", "execution_count": 43, "id": "32bdff59", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:56.548297Z", "iopub.status.busy": "2021-08-07T18:46:56.547348Z", "iopub.status.idle": "2021-08-07T18:46:56.554192Z", "shell.execute_reply": "2021-08-07T18:46:56.553719Z", "shell.execute_reply.started": "2021-08-07T18:44:49.058916Z" }, "papermill": { "duration": 0.075167, "end_time": "2021-08-07T18:46:56.554321", "exception": false, "start_time": "2021-08-07T18:46:56.479154", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Recall on the training set: 0.8532110091743119\n", "******************\n", "Recall on the test set: 0.7962962962962963\n" ] } ], "source": [ "# Evaluating the model: (Recall) 🤔\n", "\n", "print(\"Recall on the training set: \" + str(recall_score(y_train, y_train_pred)))\n", "print(''20)\n", "print(\"Recall on the test set: \" + str(recall_score(y_test, y_test_pred)))" ] }, { "cell_type": "markdown", "id": "f2a44d29", "metadata": { "papermill": { "duration": 0.063872, "end_time": "2021-08-07T18:46:56.682696", "exception": false, "start_time": "2021-08-07T18:46:56.618824", "status": "completed" }, "tags": [] }, "source": [ "- Since the sensitivity* is pretty good for this model on the test set, we will go ahead with this model.\n", "- Also, from the confusion matrix for the test data, we can observe that the chance of Type II error (i.e. The patient is likely to have a Heart Attack but is declared safe by the model) is very low." ] }, { "cell_type": "markdown", "id": "dbf62e65", "metadata": { "papermill": { "duration": 0.064036, "end_time": "2021-08-07T18:46:56.811357", "exception": false, "start_time": "2021-08-07T18:46:56.747321", "status": "completed" }, "tags": [] }, "source": [ "### Conclusion 👩‍⚖️📜" ] }, { "cell_type": "code", "execution_count": 44, "id": "504fa85f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:46:56.956780Z", "iopub.status.busy": "2021-08-07T18:46:56.947605Z", "iopub.status.idle": "2021-08-07T18:46:58.854229Z", "shell.execute_reply": "2021-08-07T18:46:58.854690Z", "shell.execute_reply.started": "2021-08-07T18:44:49.077924Z" }, "papermill": { "duration": 1.978515, "end_time": "2021-08-07T18:46:58.854849", "exception": false, "start_time": "2021-08-07T18:46:56.876334", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 4680x1800 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualizing the result from the Decision Tree\n", "\n", "plt.figure(figsize=(65,25))\n", "plot_tree(dt_, feature_names = X.columns, class_names=['No Disease', \"Disease\"], filled=True);" ] }, { "cell_type": "markdown", "id": "46dc216f", "metadata": { "papermill": { "duration": 0.085323, "end_time": "2021-08-07T18:46:59.026623", "exception": false, "start_time": "2021-08-07T18:46:58.941300", "status": "completed" }, "tags": [] }, "source": [ "- A person regardless of gender, is most likely to have a heart attack if the level of Chest Pain is 1 or beyond.\n", "- Even if the Chest Pain is more than 1 or more, Female subjects are more at risk then Male.\n", "- Also, if the Heart Rate is more, combined with Chest Pain of atleast level 1, then the subject is definitely going to get Heart Attack.\n", "- If the Chest Pain level is below 1, even then, if the subject has Exercise Induced Agnia, he/she is at a greater risk of Heart Attack\n", "\n", "\n", "Therefore, if any of the above conditions are observed in a subject, they should be immediately given medical attention. 🩺👩‍⚕️" ] }, { "cell_type": "markdown", "id": "462ca14e", "metadata": { "papermill": { "duration": 0.085972, "end_time": "2021-08-07T18:46:59.199981", "exception": false, "start_time": "2021-08-07T18:46:59.114009", "status": "completed" }, "tags": [] }, "source": [ "#### If you enjoyed reading this Notebook 📒, kindly upvote. 👍😁 It will help me grow. 📈" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 24.880329, "end_time": "2021-08-07T18:47:00.746519", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:46:35.866190", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/598/70598416.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"The sinking of the Titanic is one of the most infamous shipwrecks in history.\nIn this assignment, we build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).","metadata":{}},{"cell_type":"markdown","source":"## Step 1 : Import ML packages and Libraries","metadata":{}},{"cell_type":"code","source":"import os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n \nimport pandas as pd\nimport numpy as np\nfrom sklearn import preprocessing\nimport matplotlib.pyplot as plt\nplt.rc(\"font\", size=14)\nimport seaborn as sns\nsns.set(style=\"white\") #white background style for seaborn plots\nsns.set(style=\"whitegrid\", color_codes=True)\nimport warnings\nwarnings.simplefilter(action='ignore')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.464616Z","iopub.execute_input":"2021-08-07T18:43:27.465044Z","iopub.status.idle":"2021-08-07T18:43:27.476728Z","shell.execute_reply.started":"2021-08-07T18:43:27.465007Z","shell.execute_reply":"2021-08-07T18:43:27.475693Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"/kaggle/input/titanic/train.csv\n/kaggle/input/titanic/test.csv\n/kaggle/input/titanic/gender_submission.csv\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Import titanic (train and test) dataset for model building","metadata":{"execution":{"iopub.status.busy":"2021-08-07T17:31:49.433368Z","iopub.execute_input":"2021-08-07T17:31:49.433724Z","iopub.status.idle":"2021-08-07T17:31:49.534191Z","shell.execute_reply.started":"2021-08-07T17:31:49.433696Z","shell.execute_reply":"2021-08-07T17:31:49.533064Z"}}},{"cell_type":"code","source":"# let's import the data\ntrain_df = pd.read_csv('/kaggle/input/titanic/train.csv')\ntest_df = pd.read_csv('/kaggle/input/titanic/test.csv')\n\nprint('The number of samples into the train data is {}.'.format(train_df.shape[0]))\nprint('The number of samples into the test data is {}.'.format(test_df.shape[0]))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.486226Z","iopub.execute_input":"2021-08-07T18:43:27.486871Z","iopub.status.idle":"2021-08-07T18:43:27.507187Z","shell.execute_reply.started":"2021-08-07T18:43:27.486834Z","shell.execute_reply":"2021-08-07T18:43:27.505914Z"},"trusted":true},"execution_count":48,"outputs":[{"name":"stdout","text":"The number of samples into the train data is 891.\nThe number of samples into the test data is 418.\n","output_type":"stream"}]},{"cell_type":"code","source":"train_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.509022Z","iopub.execute_input":"2021-08-07T18:43:27.509450Z","iopub.status.idle":"2021-08-07T18:43:27.529151Z","shell.execute_reply.started":"2021-08-07T18:43:27.509401Z","shell.execute_reply":"2021-08-07T18:43:27.528197Z"},"trusted":true},"execution_count":49,"outputs":[{"execution_count":49,"output_type":"execute_result","data":{"text/plain":" PassengerId Survived Pclass \\\n0 1 0 3 \n1 2 1 1 \n2 3 1 3 \n3 4 1 1 \n4 5 0 3 \n\n Name Sex Age SibSp \\\n0 Braund, Mr. Owen Harris male 22.0 1 \n1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n2 Heikkinen, Miss. Laina female 26.0 0 \n3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n4 Allen, Mr. William Henry male 35.0 0 \n\n Parch Ticket Fare Cabin Embarked \n0 0 A/5 21171 7.2500 NaN S \n1 0 PC 17599 71.2833 C85 C \n2 0 STON/O2. 3101282 7.9250 NaN S \n3 0 113803 53.1000 C123 S \n4 0 373450 8.0500 NaN S ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Name</th>\n <th>Sex</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Ticket</th>\n <th>Fare</th>\n <th>Cabin</th>\n <th>Embarked</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>Braund, Mr. Owen Harris</td>\n <td>male</td>\n <td>22.0</td>\n <td>1</td>\n <td>0</td>\n <td>A/5 21171</td>\n <td>7.2500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n <td>female</td>\n <td>38.0</td>\n <td>1</td>\n <td>0</td>\n <td>PC 17599</td>\n <td>71.2833</td>\n <td>C85</td>\n <td>C</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>Heikkinen, Miss. Laina</td>\n <td>female</td>\n <td>26.0</td>\n <td>0</td>\n <td>0</td>\n <td>STON/O2. 3101282</td>\n <td>7.9250</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n <td>female</td>\n <td>35.0</td>\n <td>1</td>\n <td>0</td>\n <td>113803</td>\n <td>53.1000</td>\n <td>C123</td>\n <td>S</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>0</td>\n <td>3</td>\n <td>Allen, Mr. William Henry</td>\n <td>male</td>\n <td>35.0</td>\n <td>0</td>\n <td>0</td>\n <td>373450</td>\n <td>8.0500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"## Step 2 : Data quality and missing value assessment","metadata":{}},{"cell_type":"code","source":"train_df.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.531344Z","iopub.execute_input":"2021-08-07T18:43:27.531752Z","iopub.status.idle":"2021-08-07T18:43:27.546514Z","shell.execute_reply.started":"2021-08-07T18:43:27.531707Z","shell.execute_reply":"2021-08-07T18:43:27.545220Z"},"trusted":true},"execution_count":50,"outputs":[{"execution_count":50,"output_type":"execute_result","data":{"text/plain":"PassengerId 0\nSurvived 0\nPclass 0\nName 0\nSex 0\nAge 177\nSibSp 0\nParch 0\nTicket 0\nFare 0\nCabin 687\nEmbarked 2\ndtype: int64"},"metadata":{}}]},{"cell_type":"markdown","source":"### Filling null values for Age column","metadata":{}},{"cell_type":"code","source":"temp_df = train_df[['Sex','Age']].groupby(['Sex'],as_index=False).mean().sort_values(by = 'Age', ascending = False)\ntemp_df['Age'] = round(temp_df.Age)\na_dict = dict(temp_df.values)\nprint(a_dict)\n# filling null values with mean values group by gender\ntrain_df_m = train_df[train_df['Sex'] == 'male']\ntrain_df_f = train_df[train_df['Sex'] == 'female']\ntrain_df_m['Age'].fillna(round(a_dict['male']),inplace = True)\ntrain_df_f['Age'].fillna(round(a_dict['female']),inplace= True)\n\n# Concatenating the dataframes\ntrain_df = pd.concat([train_df_m, train_df_f])\n# Sort the datafeame based on PassengerId \ntrain_df = train_df.sort_values(by='PassengerId',ascending='True')\n\ntrain_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.550454Z","iopub.execute_input":"2021-08-07T18:43:27.550889Z","iopub.status.idle":"2021-08-07T18:43:27.589256Z","shell.execute_reply.started":"2021-08-07T18:43:27.550854Z","shell.execute_reply":"2021-08-07T18:43:27.588202Z"},"trusted":true},"execution_count":51,"outputs":[{"name":"stdout","text":"{'male': 31.0, 'female': 28.0}\n","output_type":"stream"},{"execution_count":51,"output_type":"execute_result","data":{"text/plain":" PassengerId Survived Pclass \\\n0 1 0 3 \n1 2 1 1 \n2 3 1 3 \n3 4 1 1 \n4 5 0 3 \n\n Name Sex Age SibSp \\\n0 Braund, Mr. Owen Harris male 22.0 1 \n1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n2 Heikkinen, Miss. Laina female 26.0 0 \n3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n4 Allen, Mr. William Henry male 35.0 0 \n\n Parch Ticket Fare Cabin Embarked \n0 0 A/5 21171 7.2500 NaN S \n1 0 PC 17599 71.2833 C85 C \n2 0 STON/O2. 3101282 7.9250 NaN S \n3 0 113803 53.1000 C123 S \n4 0 373450 8.0500 NaN S ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Name</th>\n <th>Sex</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Ticket</th>\n <th>Fare</th>\n <th>Cabin</th>\n <th>Embarked</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>Braund, Mr. Owen Harris</td>\n <td>male</td>\n <td>22.0</td>\n <td>1</td>\n <td>0</td>\n <td>A/5 21171</td>\n <td>7.2500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n <td>female</td>\n <td>38.0</td>\n <td>1</td>\n <td>0</td>\n <td>PC 17599</td>\n <td>71.2833</td>\n <td>C85</td>\n <td>C</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>Heikkinen, Miss. Laina</td>\n <td>female</td>\n <td>26.0</td>\n <td>0</td>\n <td>0</td>\n <td>STON/O2. 3101282</td>\n <td>7.9250</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n <td>female</td>\n <td>35.0</td>\n <td>1</td>\n <td>0</td>\n <td>113803</td>\n <td>53.1000</td>\n <td>C123</td>\n <td>S</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>0</td>\n <td>3</td>\n <td>Allen, Mr. William Henry</td>\n <td>male</td>\n <td>35.0</td>\n <td>0</td>\n <td>0</td>\n <td>373450</td>\n <td>8.0500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"### Filling null values for Cabin columns","metadata":{}},{"cell_type":"code","source":"print(train_df['Cabin'].mode())\n## replacing missing value in Cabin field with mode value\ntrain_df['Cabin'].fillna(train_df['Cabin'].mode()[0], inplace=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.590624Z","iopub.execute_input":"2021-08-07T18:43:27.590961Z","iopub.status.idle":"2021-08-07T18:43:27.598761Z","shell.execute_reply.started":"2021-08-07T18:43:27.590934Z","shell.execute_reply":"2021-08-07T18:43:27.597799Z"},"trusted":true},"execution_count":52,"outputs":[{"name":"stdout","text":"0 B96 B98\n1 C23 C25 C27\n2 G6\ndtype: object\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### FIlling null values for Embarked column","metadata":{}},{"cell_type":"code","source":"print(train_df['Embarked'].mode())\n## replacing missing value in Embarked field with mode value\ntrain_df['Embarked'].fillna(train_df['Embarked'].mode()[0], inplace=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.600013Z","iopub.execute_input":"2021-08-07T18:43:27.600306Z","iopub.status.idle":"2021-08-07T18:43:27.613944Z","shell.execute_reply.started":"2021-08-07T18:43:27.600279Z","shell.execute_reply":"2021-08-07T18:43:27.612830Z"},"trusted":true},"execution_count":53,"outputs":[{"name":"stdout","text":"0 S\ndtype: object\n","output_type":"stream"}]},{"cell_type":"code","source":"train_df.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.615792Z","iopub.execute_input":"2021-08-07T18:43:27.616246Z","iopub.status.idle":"2021-08-07T18:43:27.630046Z","shell.execute_reply.started":"2021-08-07T18:43:27.616205Z","shell.execute_reply":"2021-08-07T18:43:27.628971Z"},"trusted":true},"execution_count":54,"outputs":[{"execution_count":54,"output_type":"execute_result","data":{"text/plain":"PassengerId 0\nSurvived 0\nPclass 0\nName 0\nSex 0\nAge 0\nSibSp 0\nParch 0\nTicket 0\nFare 0\nCabin 0\nEmbarked 0\ndtype: int64"},"metadata":{}}]},{"cell_type":"markdown","source":"## Step 3 : Exploratory data analysis","metadata":{}},{"cell_type":"markdown","source":"### Step 3.1 Dependent Variable","metadata":{}},{"cell_type":"code","source":"print(train_df['Survived'].value_counts())\nsns.countplot(x='Survived', data=train_df, hue='Survived')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.631439Z","iopub.execute_input":"2021-08-07T18:43:27.631725Z","iopub.status.idle":"2021-08-07T18:43:27.830133Z","shell.execute_reply.started":"2021-08-07T18:43:27.631697Z","shell.execute_reply":"2021-08-07T18:43:27.829406Z"},"trusted":true},"execution_count":55,"outputs":[{"name":"stdout","text":"0 549\n1 342\nName: Survived, dtype: int64\n","output_type":"stream"},{"execution_count":55,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='Survived', ylabel='count'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"# percentage of Survived passenger in train dataset\nprint('percentage of Survived passenger in train dataset is %.2f%%' %(((train_df['Survived'] == 1).sum()/train_df.shape[0])100))\n# percentage of fraud claim reported in train dataset\nprint('percentage of non Survived passenger in train dataset is %.2f%%' %(((train_df['Survived'] == 0).sum()/train_df.shape[0])100))\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.831108Z","iopub.execute_input":"2021-08-07T18:43:27.831484Z","iopub.status.idle":"2021-08-07T18:43:27.837697Z","shell.execute_reply.started":"2021-08-07T18:43:27.831457Z","shell.execute_reply":"2021-08-07T18:43:27.837037Z"},"trusted":true},"execution_count":56,"outputs":[{"name":"stdout","text":"percentage of Survived passenger in train dataset is 38.38%\npercentage of non Survived passenger in train dataset is 61.62%\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Step3.2 : Descriptive Analysis\nIt will demonstrate the count, mean, std dev, min, max, etc values for the Numerical features present in the data.","metadata":{}},{"cell_type":"code","source":"train_df.describe()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.838656Z","iopub.execute_input":"2021-08-07T18:43:27.839036Z","iopub.status.idle":"2021-08-07T18:43:27.885050Z","shell.execute_reply.started":"2021-08-07T18:43:27.839008Z","shell.execute_reply":"2021-08-07T18:43:27.884302Z"},"trusted":true},"execution_count":57,"outputs":[{"execution_count":57,"output_type":"execute_result","data":{"text/plain":" PassengerId Survived Pclass Age SibSp \\\ncount 891.000000 891.000000 891.000000 891.000000 891.000000 \nmean 446.000000 0.383838 2.308642 29.779091 0.523008 \nstd 257.353842 0.486592 0.836071 13.017438 1.102743 \nmin 1.000000 0.000000 1.000000 0.420000 0.000000 \n25% 223.500000 0.000000 2.000000 22.000000 0.000000 \n50% 446.000000 0.000000 3.000000 30.000000 0.000000 \n75% 668.500000 1.000000 3.000000 35.000000 1.000000 \nmax 891.000000 1.000000 3.000000 80.000000 8.000000 \n\n Parch Fare \ncount 891.000000 891.000000 \nmean 0.381594 32.204208 \nstd 0.806057 49.693429 \nmin 0.000000 0.000000 \n25% 0.000000 7.910400 \n50% 0.000000 14.454200 \n75% 0.000000 31.000000 \nmax 6.000000 512.329200 ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Fare</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>891.000000</td>\n <td>891.000000</td>\n <td>891.000000</td>\n <td>891.000000</td>\n <td>891.000000</td>\n <td>891.000000</td>\n <td>891.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>446.000000</td>\n <td>0.383838</td>\n <td>2.308642</td>\n <td>29.779091</td>\n <td>0.523008</td>\n <td>0.381594</td>\n <td>32.204208</td>\n </tr>\n <tr>\n <th>std</th>\n <td>257.353842</td>\n <td>0.486592</td>\n <td>0.836071</td>\n <td>13.017438</td>\n <td>1.102743</td>\n <td>0.806057</td>\n <td>49.693429</td>\n </tr>\n <tr>\n <th>min</th>\n <td>1.000000</td>\n <td>0.000000</td>\n <td>1.000000</td>\n <td>0.420000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>223.500000</td>\n <td>0.000000</td>\n <td>2.000000</td>\n <td>22.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>7.910400</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>446.000000</td>\n <td>0.000000</td>\n <td>3.000000</td>\n <td>30.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>14.454200</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>668.500000</td>\n <td>1.000000</td>\n <td>3.000000</td>\n <td>35.000000</td>\n <td>1.000000</td>\n <td>0.000000</td>\n <td>31.000000</td>\n </tr>\n <tr>\n <th>max</th>\n <td>891.000000</td>\n <td>1.000000</td>\n <td>3.000000</td>\n <td>80.000000</td>\n <td>8.000000</td>\n <td>6.000000</td>\n <td>512.329200</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# check the correlation \ntrain_df.corr()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.886021Z","iopub.execute_input":"2021-08-07T18:43:27.886404Z","iopub.status.idle":"2021-08-07T18:43:27.902014Z","shell.execute_reply.started":"2021-08-07T18:43:27.886376Z","shell.execute_reply":"2021-08-07T18:43:27.901097Z"},"trusted":true},"execution_count":58,"outputs":[{"execution_count":58,"output_type":"execute_result","data":{"text/plain":" PassengerId Survived Pclass Age SibSp Parch \\\nPassengerId 1.000000 -0.005007 -0.035144 0.035569 -0.057527 -0.001652 \nSurvived -0.005007 1.000000 -0.338481 -0.081736 -0.035322 0.081629 \nPclass -0.035144 -0.338481 1.000000 -0.329201 0.083081 0.018443 \nAge 0.035569 -0.081736 -0.329201 1.000000 -0.237059 -0.183536 \nSibSp -0.057527 -0.035322 0.083081 -0.237059 1.000000 0.414838 \nParch -0.001652 0.081629 0.018443 -0.183536 0.414838 1.000000 \nFare 0.012658 0.257307 -0.549500 0.088270 0.159651 0.216225 \n\n Fare \nPassengerId 0.012658 \nSurvived 0.257307 \nPclass -0.549500 \nAge 0.088270 \nSibSp 0.159651 \nParch 0.216225 \nFare 1.000000 ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Fare</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>PassengerId</th>\n <td>1.000000</td>\n <td>-0.005007</td>\n <td>-0.035144</td>\n <td>0.035569</td>\n <td>-0.057527</td>\n <td>-0.001652</td>\n <td>0.012658</td>\n </tr>\n <tr>\n <th>Survived</th>\n <td>-0.005007</td>\n <td>1.000000</td>\n <td>-0.338481</td>\n <td>-0.081736</td>\n <td>-0.035322</td>\n <td>0.081629</td>\n <td>0.257307</td>\n </tr>\n <tr>\n <th>Pclass</th>\n <td>-0.035144</td>\n <td>-0.338481</td>\n <td>1.000000</td>\n <td>-0.329201</td>\n <td>0.083081</td>\n <td>0.018443</td>\n <td>-0.549500</td>\n </tr>\n <tr>\n <th>Age</th>\n <td>0.035569</td>\n <td>-0.081736</td>\n <td>-0.329201</td>\n <td>1.000000</td>\n <td>-0.237059</td>\n <td>-0.183536</td>\n <td>0.088270</td>\n </tr>\n <tr>\n <th>SibSp</th>\n <td>-0.057527</td>\n <td>-0.035322</td>\n <td>0.083081</td>\n <td>-0.237059</td>\n <td>1.000000</td>\n <td>0.414838</td>\n <td>0.159651</td>\n </tr>\n <tr>\n <th>Parch</th>\n <td>-0.001652</td>\n <td>0.081629</td>\n <td>0.018443</td>\n <td>-0.183536</td>\n <td>0.414838</td>\n <td>1.000000</td>\n <td>0.216225</td>\n </tr>\n <tr>\n <th>Fare</th>\n <td>0.012658</td>\n <td>0.257307</td>\n <td>-0.549500</td>\n <td>0.088270</td>\n <td>0.159651</td>\n <td>0.216225</td>\n <td>1.000000</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"## plotting correlation headmap \nf, ax = plt.subplots(figsize=(10,5))\ndataplots = sns.heatmap(train_df.corr(),cmap=\"YlGnBu\", annot=False)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:27.903751Z","iopub.execute_input":"2021-08-07T18:43:27.904053Z","iopub.status.idle":"2021-08-07T18:43:28.271178Z","shell.execute_reply.started":"2021-08-07T18:43:27.904021Z","shell.execute_reply":"2021-08-07T18:43:28.269942Z"},"trusted":true},"execution_count":59,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x360 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation: There is a strong correlation between Fare and Survival, Parch and Survival, SibSp and Parch, Fare abd Parch","metadata":{}},{"cell_type":"markdown","source":"### Step 3.3 Indenpendent variable visualization \n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T17:55:45.655141Z","iopub.execute_input":"2021-08-07T17:55:45.655512Z","iopub.status.idle":"2021-08-07T17:55:45.659035Z","shell.execute_reply.started":"2021-08-07T17:55:45.655482Z","shell.execute_reply":"2021-08-07T17:55:45.658152Z"}}},{"cell_type":"code","source":"f, ax = plt.subplots(figsize=(10, 5))\nplot = sns.countplot(x='Pclass', data=train_df, hue = 'Survived')\nplot.set_xticklabels(plot.get_xticklabels(), rotation=0) # for readibility\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:28.272569Z","iopub.execute_input":"2021-08-07T18:43:28.272988Z","iopub.status.idle":"2021-08-07T18:43:28.458958Z","shell.execute_reply.started":"2021-08-07T18:43:28.272958Z","shell.execute_reply":"2021-08-07T18:43:28.458124Z"},"trusted":true},"execution_count":60,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation : From above count plot it looks like that probability of passenger survival is high for Pclass = '1'","metadata":{}},{"cell_type":"code","source":"f, ax = plt.subplots(figsize=(15, 10))\nplot = sns.countplot(x='Age', data=train_df, hue='Survived')\nplot.set_xticklabels(plot.get_xticklabels(), rotation=90) # for readibility\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:28.459993Z","iopub.execute_input":"2021-08-07T18:43:28.460379Z","iopub.status.idle":"2021-08-07T18:43:31.351831Z","shell.execute_reply.started":"2021-08-07T18:43:28.460351Z","shell.execute_reply":"2021-08-07T18:43:31.351012Z"},"trusted":true},"execution_count":61,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x720 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAA4MAAAJgCAYAAAAwMLZiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABOtElEQVR4nO3deXhURaL+8TcLREWRAQUD+hOuyiJcQYgwiso+IIRNVBbFEUQBZVRc2ES2oJIgOowCMi543UcdgSEgOAo6yjgqyBZAEQQXCAESQEDIWr8/uOnb2SvJSbrT9f08Dw/p7uo6dc7pU91vn1PVYcYYIwAAAACAU8ID3QAAAAAAQOUjDAIAAACAgwiDAAAAAOAgwiAAAAAAOCgy0A2oKDk5OTpx4oSqVaumsLCwQDcHAAAAACqVMUaZmZmqUaOGwsMLngcM2TB44sQJ7dixI9DNAAAAAICAaty4sc4555wC94dsGKxWrZqk0ytevXr1ALcGAAAAACpXRkaGduzY4ctG+YVsGMy9NLR69eqKiooKcGsAAAAAIDCKGjbHBDIAAAAA4CDCIAAAAAA4iDAIAAAAAA4K2TGDAABIp39q6NChQzpy5Iiys7MD3ZxKccYZZ+jCCy8scsIAAAAkwiAAIMT98ssvCgsLU8OGDZ347VljjFJTU/XLL7+oUaNGgW4OACCIcZkoACCknThxQg0aNFD16tVDPghKp2eMq1Onjk6dOhXopgAAghxhEAAQ8sLD3Xq7cyH0AgDKr9LeHePj49W5c2c1adJEO3bskCQdPnxYd911l7p3767evXtrzJgxSktL8z1n48aN6tOnj7p3767hw4crNTW1spoLAAAAACGt0sJgly5d9MYbb6hBgwa++8LCwjRixAitWrVKy5Yt00UXXaSnnnpK0ukB/4888oimTJmiVatWKSYmxvcYAABVyZQpUzRv3jzP63322Wf18MMPe14vAMANlRYGY2JiFB0dnee+WrVqqV27dr7brVq10r59+yRJSUlJioqKUkxMjCRp0KBBWrlyZWU1FwDggHXr1mnQoEFq06aN2rZtq0GDBmnz5s2eL2fGjBm69957Pa8XAIDyCJrZRHNycvTWW2+pc+fOkqTk5GTVr1/f93jt2rWVk5OjI0eOqFatWtb1JiUled1UAEAVEhkZqRMnThS4//jx4xo5cqQmTZqkbt26KTMzUxs2bFB2dnah5YtijJExJiDjEjMyMpSVlVVoezMyMrR+/fpKbxMAoOoImjAYFxens846S7fddpun9bZo0UJRUVGe1gkAqDq2b9+uGjVqFLj/hx9+UFhYmAYMGOC7r2vXrpJOX375448/+oYn/PLLL+rSpYu2bt2qyMhIDR06VK1bt9aXX36pbdu2acyYMVq5cqXef/99X12vvPKK/vOf/+j555/XhAkTVK9ePY0dO1Y33HCDxo0bp06dOkmSsrKydO211+qll15S8+bNtXHjRs2aNUs7d+5U/fr19eijj/quovn55581ceJEbd26Va1atVKjRo0UGRlZ6PpVr15dLVu29G5DAgCqnPT09GJPjgXF9Grx8fH68ccf9ec//9n3zWp0dLTvklFJSktLU3h4eKnOCgIAUJRGjRopIiJC48eP16effqqjR4+W6vlLly5VXFycvvnmGw0ePFi7d+/Wnj17fI8vW7ZMvXv3LvC8Xr16KTEx0Xf7888/1+9+9zs1b95cKSkpGjlypEaPHq2vvvpK48eP13333eebXO3hhx9W8+bN9eWXX+qee+7R4sWLy7byAAAoCMLg008/raSkJM2bN0/Vq1f33d+iRQudOnVK69atkyS9/fbb6tGjR6CaCQAIMWeffbbefPNNhYWF6bHHHtPVV1+tUaNG6dChQ1bP79+/vy677DJFRkbqnHPOUZcuXXwhb8+ePfrhhx98Qx/89e7dW6tXr9bJkyclnQ6NvXr1knQ6YF5//fXq0KGDwsPD1b59e7Vo0UKffvqp9u3bpy1btuj+++9X9erVddVVVxVaPwAAtiotDM6cOVPXX3+99u/fr2HDhqlXr176/vvvtXDhQh04cECDBg1S3759fQPsw8PDlZCQoOnTp+sPf/iDvv76az300EOV1VwAgAMuueQSzZo1S//617+0bNkyHThwQE888YTVc/NPita7d28tX75ckpSYmKiuXbvqzDPPLPC8iy++WJdcconWrFmjkydPavXq1b4ziPv27dPKlSsVExPj+7d+/XodPHhQBw4cUM2aNXXWWWf56vIfWw8AQGlV2pjByZMna/LkyQXu/+6774p8TuvWrbVs2bKKbBYAAJJOB8Mbb7xRf/vb33T55Zfr1KlTvscKO1uY/4fdr7nmGqWlpWn79u1KTEzUxIkTi1xWbGysEhMTlZOTo0svvVQXX3yxpNMBs2/fvpo5c2aB5+zdu1e//vqrfvvtN18g3LdvHz8wDwAos4BfJgoAQCDs2rVLL7/8svbv3y/p9CzWiYmJatmypZo1a6avv/5a+/bt07Fjx7Rw4cIS66tWrZp69OihhIQEHT16VO3bty+ybM+ePbV27Vq99dZbio2N9d3fp08frVmzRp999pmys7OVnp6uL7/8Uvv371eDBg3UokULPfvss8rIyNC6deu0Zs2a8m8IAICzCIMAACedffbZ2rRpk26++Wa1atVKt9xyixo3bqwJEyaoffv26tmzp/r06aMbb7zRN/NnSXr37q1///vf6tGjhyIji774pm7dumrVqpU2bNignj17+u6Pjo7W/PnztXDhQl199dXq0KGDXnrpJeXk5EiS5syZo02bNqldu3aaN2+e+vXrV65tAABwW5gxxgS6ERUhdxpVfloCANy2fft2NWvWLNDNqHSurjcA4P+UlIk4MwgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAHBKTo4p9G8AAFxTaT86DwBAMAgPD9MPv6RKkv7rwjoBbg0AAIHDmUEAAAAAcBBhEAAAPxmZ2VWqXgAAyorLRAEA8FO9WoSGjHvD83rfTLjVuuzu3bs1YcIEHTlyRLVq1VJ8fLwaNmzoeZsAAG7jzCAAAEFm6tSpGjJkiFatWqUhQ4ZoypQpgW4SACAEEQYBAAgiqamp2rZtm2JjYyVJsbGx2rZtm9LS0gLcMgBAqCEMAgAQRJKTk1WvXj1FRERIkiIiIlS3bl0lJycHuGUAgFBDGAQAAAAABxEGAQAIItHR0UpJSVF29unZR7Ozs3XgwAFFR0cHuGUAgFBDGAQAIIjUqVNHzZo1U2JioiQpMTFRzZo1U+3atQPcMgBAqOGnJQAA8JORmV2qn4EoTb3Vq0VYlZ02bZomTJig+fPnq2bNmoqPj/e8PQAAEAYBAPBjG9gqst5LLrlE7777boW0AwCAXFwmCgAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAPjJycoMaL3x8fHq3LmzmjRpoh07dlRIWwAAkPidQQAA8giPrKb1CSM8r7fNuBetynXp0kW33367br3V+x++BwDAH2EQAIAgEhMTE+gmAAAcwWWiAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIOYQAYAAD85WZnWM3+Wtt7wyGollps5c6Y+/PBDHTp0SMOGDVOtWrW0fPlyz9sDAABhEAAAPzaBrSLrnTx5siZPnlwhbQAAwB+XiQIAAACAgwiDAAAAAOAgwiAAIOQZYwLdhErl2voCAMqGMAgACGnVqlXTyZMnA92MSpWZmanISKYFAAAUjzAIAAhpdevW1d69e/Xbb785ccYsJydHKSkpOvfccwPdFABAkONrQwBASKtZs6Ykad++fcrMzJQkHTp8QpKUfuxAwNpVkWrUqKHzzjsv0M0AAAQ5wiAAIOTVrFnTFwolaci4NyRJbybcGqgmAQAQcFwmCgAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOqpQwGB8fr86dO6tJkybasWOH7/7du3dr4MCB6t69uwYOHKg9e/ZYPQYAAAAAKJ9KCYNdunTRG2+8oQYNGuS5f+rUqRoyZIhWrVqlIUOGaMqUKVaPAQAAAADKp1LCYExMjKKjo/Pcl5qaqm3btik2NlaSFBsbq23btiktLa3YxwAAAAAA5RcZqAUnJyerXr16ioiIkCRFRESobt26Sk5OljGmyMdq165dquUkJSV53nYAQNXVpk2bPLfXr18foJYAABBYAQuDlaVFixaKiooKdDMAAEEqfzgEACBUpKenF3tyLGBhMDo6WikpKcrOzlZERISys7N14MABRUdHyxhT5GMAAAAAgPIL2E9L1KlTR82aNVNiYqIkKTExUc2aNVPt2rWLfQwAAAAAUH6VcmZw5syZ+vDDD3Xo0CENGzZMtWrV0vLlyzVt2jRNmDBB8+fPV82aNRUfH+97TnGPAQAAAADKJ8wYYwLdiIqQe30sYwYBAPkNGfeGJOnNhFsD3BIAACpOSZkoYJeJAgAAAAAChzAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgoKAIg2vWrFG/fv3Ut29f9enTRx9++KEkaffu3Ro4cKC6d++ugQMHas+ePYFtKAAAAACEiMhAN8AYo3HjxumNN95Q48aN9e2332rw4MHq2rWrpk6dqiFDhqhv375aunSppkyZoldffTXQTQYAAACAKi8ozgyGh4fr2LFjkqRjx46pbt26Onz4sLZt26bY2FhJUmxsrLZt26a0tLRANhUAAAAAQkLAzwyGhYXpz3/+s+655x6dddZZOnHihP76178qOTlZ9erVU0REhCQpIiJCdevWVXJysmrXrm1df1JSUkU1HQBQBbVp0ybP7fXr1weoJQAABFbAw2BWVpYWLlyo+fPnq02bNlq/fr0eeOABJSQkeFJ/ixYtFBUV5UldAIDQkz8cAgAQKtLT04s9ORbwy0S3b9+uAwcO+N6M27RpozPPPFNRUVFKSUlRdna2JCk7O1sHDhxQdHR0IJsLAAAAACEh4GHwggsu0P79+/XDDz9Iknbt2qXU1FRdfPHFatasmRITEyVJiYmJatasWakuEQUAAAAAFC7gl4mef/75mjZtmu6//36FhYVJkp544gnVqlVL06ZN04QJEzR//nzVrFlT8fHxAW4tAAAAAISGgIdBSerTp4/69OlT4P5LLrlE7777bgBaBAAAAAChLeCXiQIAAAAAKh9hEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcZB0GX3rppULvX7RokWeNAQAAAABUDuswOG/evELvX7BggWeNAQAAAABUjsiSCnzxxReSpJycHP3nP/+RMcb32C+//KIaNWpUXOsAAAAAABWixDD46KOPSpLS09M1adIk3/1hYWE6//zzNXny5IprHQAAAACgQpQYBlevXi1JGjdunBISEiq8QQAAAACAildiGMzlHwRzcnLyPBYezqSkAAAAAFCVWIfBrVu3asaMGfruu++Unp4uSTLGKCwsTNu3b6+wBgIAAAAAvGcdBidMmKBOnTrpiSee0BlnnFGRbQIAAAAAVDDrMLh3716NHTtWYWFhFdkeAAAAAEAlsB7s161bN33++ecV2RYAAAAAQCWxPjOYnp6uMWPGqE2bNjrvvPPyPMYsowAAAABQtViHwUsvvVSXXnppRbYFAAAAAFBJrMPgmDFjKrIdAAAAAIBKZB0Gv/jiiyIfu/rqqz1pDAAAAACgcliHwUcffTTP7cOHDyszM1P16tXTxx9/7HnDAAAAAAAVxzoMrl69Os/t7OxsLViwQDVq1PC8UQAAAACAimX90xL5RUREaNSoUXrxxRe9bA8AAAAAoBJYnxkszNq1az35Efr09HQ98cQT+uKLLxQVFaVWrVopLi5Ou3fv1oQJE3TkyBHVqlVL8fHxatiwYbmXBwAAAACusw6DHTp0yBP8Tp48qYyMDE2dOrXcjZg9e7aioqK0atUqhYWF6dChQ5KkqVOnasiQIerbt6+WLl2qKVOm6NVXXy338gAAAADAddZhcPbs2Xlun3nmmWrUqJHOPvvscjXgxIkTWrJkiT799FNf2DzvvPOUmpqqbdu2adGiRZKk2NhYxcXFKS0tTbVr1y7XMgEAAADAddZhsG3btpKknJwcHTp0SOedd57Cw8s85NDn559/Vq1atfTcc8/pyy+/VI0aNXT//ffrjDPOUL169RQRESHp9BjFunXrKjk5uVRhMCkpqdxtBACEjjZt2uS5vX79+gC1BACAwLIOg8ePH9eMGTO0YsUKZWVlKTIyUr169dLkyZN1zjnnlLkB2dnZ+vnnn3X55Zdr/Pjx2rRpk0aNGqW5c+eWuU5/LVq0UFRUlCd1AQBCT/5wCABAqEhPTy/25Jj1qb2ZM2fq5MmTWrZsmTZv3qxly5bp5MmTmjlzZrkaGB0drcjISMXGxkqSWrZsqd/97nc644wzlJKSouzsbEmnQ+OBAwcUHR1druUBAAAAAEoRBj/77DMlJCSoUaNGql69uho1aqQnn3xSn332WbkaULt2bbVr105r166VJO3evVupqalq2LChmjVrpsTERElSYmKimjVrxnhBAAAAAPCA9WWiUVFRSktLU4MGDXz3HT58WNWrVy93I6ZPn65JkyYpPj5ekZGRSkhIUM2aNTVt2jRNmDBB8+fPV82aNRUfH1/uZQEAAAAAShEGb7rpJg0fPlx33HGH6tevr3379umVV17RzTffXO5GXHTRRXrttdcK3H/JJZfo3XffLXf9AAAAAIC8rMPg6NGjVa9ePS1btkwHDhxQ3bp1NWLECE/CIAAAAACgclmPGXz88cfVqFEjvfLKK1qxYoVeeeUVXXLJJXr88ccrsn0AAAAAgApgHQYTExPVokWLPPe1aNHCN8ELAAAAAKDqsA6DYWFhysnJyXNfdnZ2gfsAAAAAAMHPOgzGxMRo7ty5vvCXk5OjZ599VjExMRXWOAAAAABAxbCeQObRRx/VyJEjde2116p+/fpKTk7W+eefr+eff74i2wcAAAAAqADWYfCCCy7Q4sWLtXnzZiUnJys6OlpXXHGFwsOtTy4CAAAAAIKEdRiUpPDwcLVq1UqtWrWqoOYAAAAAACoDp/UAAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAFAuOVmZxd4GAADBKTLQDQAAVG3hkdW0PmGE73abcS8GsDUAAMAWZwYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcFVRh87rnn1KRJE+3YsUOStHHjRvXp00fdu3fX8OHDlZqaGuAWAgAAAEBoCJowuHXrVm3cuFENGjSQJOXk5OiRRx7RlClTtGrVKsXExOipp54KcCsBAAAAIDQERRjMyMjQjBkzNG3aNN99SUlJioqKUkxMjCRp0KBBWrlyZYBaCAAAAAChJTLQDZCkuXPnqk+fPrrwwgt99yUnJ6t+/fq+27Vr11ZOTo6OHDmiWrVqWdedlJTkZVMBAPm0adOmwH3r168PQEvs5G9vMLcVAICKFPAwuGHDBiUlJenhhx+ukPpbtGihqKioCqkbAFC4wgJisKpKbQUAoDTS09OLPTkW8DD49ddfa9euXerSpYskaf/+/brzzjs1dOhQ7du3z1cuLS1N4eHhpTorCAAAAAAoXMDHDN599936/PPPtXr1aq1evVoXXHCBXnrpJY0YMUKnTp3SunXrJElvv/22evToEeDWAgAAAEBoCPiZwaKEh4crISFBU6dOVXp6uho0aKDZs2cHulkAAAAAEBKCLgyuXr3a93fr1q21bNmyALYGAAAAAEJTwC8TBQAAAABUPsIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAAAAA4CDCIAAAAAA4iDAIAAAAAA4iDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMIgwAAAADgIMIgAAAAADiIMAgAAAAADiIMAgAAAICDCIMAgFLJyMwOdBMAAIAHIgPdAABA1VK9WoSGjHvDd/vNhFsD2BoAAFBWnBkEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEADgrJyszGJvAwAQyiID3QAAAAIlPLKa1ieM8N1uM+7FALYGAIDKxZlBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQZGBbsDhw4c1btw4/fTTT6pevbouvvhizZgxQ7Vr19bGjRs1ZcoUpaenq0GDBpo9e7bq1KkT6CYDAAAAQJUX8DODYWFhGjFihFatWqVly5bpoosu0lNPPaWcnBw98sgjmjJlilatWqWYmBg99dRTgW4uAAAAAISEgIfBWrVqqV27dr7brVq10r59+5SUlKSoqCjFxMRIkgYNGqSVK1cGqpkAAAAAEFICfpmov5ycHL311lvq3LmzkpOTVb9+fd9jtWvXVk5Ojo4cOaJatWpZ15mUlFQBLQUAd7Vp06bEMuvXr6+ElpRNSe0P5rYDAOCloAqDcXFxOuuss3Tbbbfpn//8pyd1tmjRQlFRUZ7UBQCwYxMYg1VVbjsAAP7S09OLPTkWNGEwPj5eP/74o55//nmFh4crOjpa+/bt8z2elpam8PDwUp0VBAAAAAAULuBjBiXp6aefVlJSkubNm6fq1atLOn1G79SpU1q3bp0k6e2331aPHj0C2UwAAAAACBkBPzP4/fffa+HChWrYsKEGDRokSbrwwgs1b948JSQkaOrUqXl+WgIAAAAAUH4BD4OXXXaZvvvuu0Ifa926tZYtW1bJLQIQKjIys1W9WkSRtwEAAFwW8DAIABWlerUIDRn3hu/2mwm3BrA1AAAAwSUoxgwCAAAAACoXYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQAAAAABxEGAQAAAAABxEGAZRbRmZ2sbdRsfy3N9seAADY4kfnAZQbP+4eWP7bn20PAABscWYQAAAAABxEGAQAAAAABxEGAVSaYB1bGKztAgAAqEiMGQRQaYJ1bGGwtgsAAKAicWYQAAAAABxEGAQAAAAABxEGAQAAAMBBhEEACAD/SWqyMzPyPJaTlVnZzQl6/tuLCX4AAPAGE8gAQADk/6H49QkjfI+1GfdioJoVtPJvLwAAUH6cGQQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAAAAAcRBgEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAAAAAHEQYBAAAAAAHEQYBAAAAwEGEQQAAAABwEGEQQFDJyMwu9jbKJli3a7C2CwAAF0QGugEA4K96tQgNGfeG7/abCbcGsDWhI1i3a7C2CwAAF3BmEAAAAAAcRBgEAAAAAAcRBgFHMVaraDlZmcXedgXbITQUtR/zH/PZmRnFPg8AEHoYMwg4irFaRQuPrKb1CSN8t9uMezGArQkctkNoKGo/FtYHsL8BwC2cGQQAAAAABxEGAQAAAMBBhEEAAAAAcBBhEAAsMOFO8GBiGwAAvMEEMgBggQl3ggcT2wAA4A3ODAIAAACAgwiDAAAAAOAgwiAAz9mO6WLsF4KVlz/Ibjve1P9+l8ekMj4XACoPYwYBeM52TBdjvxCsvPxBdtvxpv7lXB6TyvhcAKg8nBkEAAAAAAcRBgEAAADAQYRBAAAAAHAQYRAAEDSYVAgIHCbvAdzDBDIAgKDBpEJA4DB5D+AezgwCAAAAgIMIgwAAAADgIMJgCKjIa/z9x+swdsdNjCFxC/s3NLiwHyu7bwpEX0j/C6CiMWYwBFTkNf7+43cYu+MmxpC4hR8+Dw0u7MfK7psC0RfS/wKoaJwZBAAAAAAHEQYBAAAAwEGEQYQMxlaUj+3vu/E7cMGN/Rj8bLZ9qO6fUBrjXp59FGrvV8wvAFRdjBlEyGBsRfnY/r4bvwMX3NiPwc9m24fq/gmlMe7l2Ueh9n7F/AJA1cWZQQAAAABwEGEQAAAAABxEGAQAAAAABxEGqxAvJxQI1ckJgOJwDAEVo6wTothMPMKx9n9CcaKW/K+V7MwM39+56xiICXdCbZIfoChMIFOFeDmhQKhOTgAUh2MIqBhlnRDFZuIRjrX/E4oTtRT22sm/joGYcCfUJvkBisKZQQAAAABwEGEQAAAAABxEGES5MZ4j+IXiOBMA8IqX48MYa1Y4PisAwYkxgyg3xnMEv1AcZwIAXvFyfBhjzQrHZwUgOHFmEAAAAAAcRBgEAAAAAAcRBgEAAADAQYTBEFSeyUIY6H5aMPzAbWE/vOsiJh0AEOoqo5+ryElygkVx76NS+bZrVX4vqmqvLy8Fa7uCCRPIhKDyTBbCwPfTguUHbpn0hUkHAIS+yujnXJgkp7j3Ual827UqvxdVtdeXl4K1XcGEM4MAAAAA4CDCIAAAAAA4iDBYRrbXX5fnOu1Qu665sLGMttdyl2U8XVHbPtDXj1flcQdAafgfW4EYdxtqfShKr6yvifKMva9swfq6r8h2hOL7qO14R5v9bbvty/IZrLzjMMtSl83nuar2HhNMxy1jBsvI9vrr8lynHWrXORc2ltF2Hcsynq6obR/o7VqVxx0ApeF/rAVq3C3cVtbXRHnG3le2YH3dV2S7QvF91Ha8o812Lc9nq5LKlXccZlnqsvk8V9XeY4LpuOXMIAAAAAA4iDAIAAAAAA4iDAIAAACAg5wKg5Ux6UtZVfRg9UAMTC3LMoN1UHhZXjuB/FHXYJlAoCIF0+Brf6E6wByF83JihdIur7DbFaEsywzWvjwQqtJkNPm5sB+9nOivPJO+ILC8nIwm0HUVeE1nZxVbPugnkNm9e7cmTJigI0eOqFatWoqPj1fDhg3LVFdlTPpSVhU9WD1YfkS9JME6KLwsr51A7sdgGphcUYJ1HUN1gDkK5+XECqVdXu4yK1oo9eWBUJUmo8nPhf3o9UR/wThxHUrm5WQ0ga4r/2u6xf3zii9f9uZVjqlTp2rIkCFatWqVhgwZoilTpgS6SQAAAABQ5QX1mcHU1FRt27ZNixYtkiTFxsYqLi5OaWlpql27drHPNcZIkjIy8p6y1xnn+P5MT08vugKbcl7W5VfOv0zNs6rlfW4RdRVVrqLqKqrtgW5XmesqhG1dBVT29ipCZWx7/3JBUVchgrVd/uUCVlcJ5Tyvq4S2V0i7SlhmUG+vIFzH4pYZFH15kPeZQbeONmWCdR3L+ZrOI0jeF4K1Lv9ylVVXAV6+x9i0q4rVVYDf9srNQrnZKL8wU9QjQSApKUnjx4/X8uXLfff17NlTs2fPVvPmzYt97rFjx7Rjx46KbiIAAAAABLXGjRvrnHPOKXB/UJ8ZLI8aNWqocePGqlatmsLCwgLdHAAAAACoVMYYZWZmqkaNGoU+HtRhMDo6WikpKcrOzlZERISys7N14MABRUdHl/jc8PDwQtMvAAAAALjijDPOKPKxoJ5Apk6dOmrWrJkSExMlSYmJiWrWrFmJ4wUBAAAAAMUL6jGDkrRr1y5NmDBBv/76q2rWrKn4+Hj913/9V6CbBQAAAABVWtCHQQAAAACA94L6MlEAAAAAQMUgDAIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIMiA92AQDh69KjOPffcQDcDgEeMMdq/f7/q1aun8PCyfceVlJSk/fv3S5IuuOACtWjRokLb5eXyKqLtXvJi/wS7QKyjC9vVS8HWT9jUFezHdjBiHwGlE7K/M5iUlKSxY8cqJSVFHTt21LRp01S7dm1JUv/+/bV48WJJ0po1a3TttdeqWrVq1nUfPXpU33//vRo1aqQ6derkeWzHjh0KCwvTZZddpj179uiTTz5R48aNdc011/jKZGRk6PDhw6pXr16e537//fe67LLLSrWeJ0+e1L/+9S8lJydLkqKjo3XdddfprLPOylNu3759WrlyZZ5y3bt3V4MGDUpdl005m+XZlvOyrlASqh8EbV5fCxcu1MiRIyVJu3bt0l133aUTJ04oMjJSCxYs0BVXXGFd1+bNm/XII4+oevXqio6OliQlJycrPT1ds2fPVsuWLT1tl+3yFi9erP79+0uSUlJSNHbsWG3evFmNGzfW008/rYYNG1rXZdt+r/oA2/1ju8yyHNtF9dO2dXm5jl71v16+7suyXYt776vsvrwq9xM2dXnZT9i2y7acl3V5uUz2UcXso8o+br2uq7LX0V95+8yK6svzC9kwOGTIEN19991q1aqVXn/9dS1fvlwvv/yyoqOj1a9fPy1ZskSS1KxZM5177rnq3bu3BgwYoKZNmxaoKy4uTo899pgkaePGjbrnnnt0wQUXaN++fZo9e7auu+46SdJrr72mRYsWKSsrS3feeaeWLl2q//7v/9aXX36poUOH6tZbb9Xnn3+usWPHSpIuuugiPfPMM7r44osl5Q2pUsk795NPPtHkyZPVokWLPB1RUlKS4uLi1KlTJ0nSu+++q+eee05du3bNU+7jjz/Wvffeq5tvvtm6LptyNsuzbZeXddluV9sykredTLB+wK7MD3m2r0P/Y2XMmDHq2rWr+vXrp88++0wLFy7U66+/bl1Xv3799Nhjj6lNmzZ52rpu3TrFxcVp6dKlnrbLZnn56xo3bpwaNWqk22+/XYmJifroo4/0wgsvWNdl034v+wCb7WBbl+2xbdNP29bl5Tp62f96+bq3aZfte19l9+VVvZ+wqcvLfsLLY9vLurxeJvvI+30UiOO2Kn9m9bLP9HJ7lciEqL59++a5nZiYaLp162Z++ukn069fvzzltm/fbuLi4ky7du1M//79zeuvv25+/fVXXxn/8sOHDzdr1641xhizbds2c9NNN/ke6927tzlx4oQ5ePCgueKKK0xycrIxxpjU1FRfe2688Uazfft2Y4wx77//vunUqZPvtn+b33nnHXP99debGTNmmBdeeMG88MILZsaMGaZDhw7mnXfeMcYYc8MNN5g9e/YUWPfdu3ebHj16+G7/4Q9/MKmpqQXKpaammm7dupWqLptyNsuzLedlXcbYbVebMsYYs2bNGtO+fXszcuRIM23aNDNt2jQzcuRI0759e7N69WrP6/J/Hd57771m8eLFxhhj/vWvf5lbb721Qtrl5fby8jXtvy169+6dp2yfPn1KVdcf/vCHAmXyP+Zlu2yWZ0ze/qB3794mJyenQN22ddm038s+wGY72NZle2zb9NO2dXm5jl72v16/7ktql+17X2X35VW9n7Cpy8t+wstj28u6vF4m+8j7fRSI47Yqf2b1ss/0cnuVJGTHDKanpys7O1sRERGSpF69eql69eq64447lJWV5SsXFhampk2bavLkyRo/frz++c9/6v3339dTTz2lzp07a86cOXnqPXTokO+Sz2bNmikjI8P3WHh4uM466yydddZZuuiii3TBBRdIkmrXrq2wsDBJUlZWlu/sY//+/dWgQQONHj1ac+fO9ZWRpBdffFGLFy/2Xdqa695779WgQYN08803Kysry3dW0V/Dhg2VnZ3tu52Tk1OgHkn63e9+J/O/J4Zt67IpZ7M823Je1iXZbVebMpKUkJCgN954o8D22LNnj0aPHq1OnTp5Wpe/n376Sf369ZMkXXfddXrqqad8j3nZLi+3l5ev6bS0NL3xxhuSTp8F9Vfa1/SFF16o559/XoMGDVKtWrUkSUeOHNFbb72l+vXrl6oum3bZLE+Sjh8/rk8//VTGGGVnZ+fpH3L/tq3Lpv1e9gE228G2Lttj219R/bRtXV6uo5f9r5ev+9Ju1+Le+yq7L6/q/YRNXV72E14e217W5fUy2Ufe76NAHLdV+TOrv/L2mRXVlxcmZMPg1Vdfrc8//1wdOnTw3detWzdFRkZq0qRJvvv8N1S1atXUs2dP9ezZU/v37/ddSpqSkqKEhAQZY3T06NE8ITMnJ8f3fP+/H3zwwTztyczMlCRlZ2crPT1dUVFRkqS2bdvq6aef1v3336/09PQ8dZW0c5s3b64pU6Zo4MCBvo5n3759+tvf/qZmzZr5nnPttddqxIgRuuWWW/KUe+edd9S+fftS1WVTzmZ5tuW8rMt2u3r5gTEQHz6rcmC3fR1ec801SkpKkiTFxMTowIEDqlu3rlJSUnzX5dvWlZCQoDlz5hQI3D169NDs2bM9b5fN8qTTl9C++OKLkk5/oZSSkqJ69eopNTVVkZGRparLpv1e9gE228G2Lttj26aftq3Ly3X0sv/18nVv0y7b977K7surej9hU5eX/YSXx7aXdXm9TPaR9/soEMdtVf7M6mWf6eX2KknIjhm0NX78eMXHxxdb5rnnnstze/DgwapTp45SUlL0zDPPaNasWZKk999/X927d1eNGjXylN+1a5feeecdTZw4UfPnz1fLli0L7KDNmzdrxowZeu+99yRJ06dP188//1zozr3wwgs1bdo0nTp1Si+99JI++OAD7du3T2FhYapfv766d++uO++8U2eeeaak0y/Af/zjH75yklS/fn316NFDffv2VXh4uHVdNuVslmfbLi/rst2uNmUkaezYsTrnnHMKPVCPHj2quXPnelrXxIkT87xmxo4d6/tgM2HCBC1atMjzdnm5vbx8TdsoS11HjhyRJN+3vOWpy0ZRyytOdna2MjIyCiyzuLps2u9lH2DLy/7Epp+2rcvLdfSy//Vqm9q2y/a9r7L78lDqJ2z6gPL2E14e2173E14uk33k/T4KxHFblT+zetlnerm9SuJUGJwyZYpmzJgR6GZY8WLnoiAvP7R42ckE6wfsQAT28jp48KDOP/98T+ryUrC2q7K5sB0CsY4ubFcvsb0A4H9ZjSysguLj4wv8i4mJ8f2dKzU11aSnp/tuL1myxMTFxeWZ+GL16tUmIyOjxGVmZ2ebDz74wHzzzTfGGGNWrVplZsyYYd566y2TnZ3tK7d//36zaNEiM3PmTDNr1izz7rvvmlOnTnmx2j4HDhywKpeUlORZXTblbJZnW87Luqo6231UldmuY/7Jo8pTl/9g8PLWZdMum+XZlrOty6b9XvYBNtvBtq5A9CderqOX/a+Xr/vK7n+9rKuq9xNeHttetquy+wmvl8k+8r6uQBy3fGY9zcvtZYwxIRsGW7ZsaR566CHz7LPP+v7FxMT4/s7Vu3dvc+zYMWOMMfPnzzeDBg0yL7zwghk+fLiZNWuWMcaYpk2bmnbt2pmZM2f6Zv4szPTp083NN99s+vfvb+bMmWMGDhxo/vrXv5phw4aZGTNmGGOMWbp0qenYsaMZNWqUadeunRk7dqy56667TMeOHc23335rtW42O9f2w8hdd93lWV025WyWZ1vOy7qMqfwPjIH48FmVOz/bdbRhW1dKSopndXm1PNtytnXZtN/LPsBWsPYnXq6jl/2vDS/fF4K1L6/q/YSXx7aX7QpEP+HlMtlH3tcViOOWz6ynebm9jAnhMLhr1y5z2223mZdfftk3jW+nTp0KlIuNjfX93b9/f3P8+HFjjDEZGRm+x2x+fsIYY3r27GmysrLM8ePHzZVXXukLmenp6aZXr16+MrlTwP70009m1KhRxhhj/v3vf5shQ4ZYrZvtzi3OkSNHSiyTOyVueR0/ftwkJSX5tkd5/Pbbb2bLli3m6NGjhT5++PBhs23bNvPdd9+ZkydPlqruyv7AGIgPn1W58yvK0aNHi3w9VBU7d+70tFwwSktLC3QTQpJX/XSoC/Z+oiof265gHyFUhWwYNOb0ZZsLFiwwt912m9m5c6fp3LlzgTKxsbG+cHbrrbeazMxM32M33HCDMSbvafyMjAyzfPlyc+edd5pWrVqZBx980PdY7u/F5OTkmGuuuSbPcnIfy/9bR/4fznOXZystLc1MmjTJDBs2zLz++ut5HhszZozv7+3bt5v+/fubAQMGmJ07d5q77rrLXHHFFeb666/3nen8/vvvC/y7/vrrzc6dO83333/vq+vzzz/3/f3rr7+ahx9+2HTp0sWMGTPGHDx40BhjzGOPPebbpuvWrTNXX3216dmzp/n9739vPvvsM9/z27Zta+Li4sy2bduKXMcPP/zQXHnllaZ79+5m06ZNpmPHjuaGG24wbdu2NR9//LGv3C+//GLuvPNO06RJE9O0aVPTtm1bc8UVV5gnn3wyz2XAoSaUPwgW9+EtNTXVTJw40bRq1cq0atXKtGzZ0lx55ZVm4sSJhf7eTnHS09PN/PnzzeTJk82aNWvyPJZ7Rt/W3r17zZgxY8x9991nDhw4YKZNm2auvPJKM2jQIPPzzz8bY05/oZH/X6dOnczJkyfNb7/95qvLptyOHTt85TMyMsyf//xnc/vtt5snn3wyT12FOXz4cKnWrTj5g97XX39tevbsaYYPH25++uknExsba1q2bGnat2/vu4w+v6NHj/q+jCtqGdu2bTPbtm0rNljalisv2/63MGX9Ms62ny4Lmy/tgvGLvarYT3h5bJe1D6jI4z+/ko5t/3LlCezso6KVdx9VVr9alGA6gWGzLSpqexW3juVZZkiHwVzbt283N998s/n9739f4LHly5ebXr16mb///e/mmWeeMaNHjzZLliwxjzzyiHnyySeNMUWfTUlOTjYLFizw3b777rtNfHy8mTJlihk6dKh5/PHHzebNm828efPMsGHDjDHGjB492syfP99s2bLFzJo1yzz88MPGGGOysrKK/QFTf7lnLP/0pz+Z+Ph4s2rVKnPHHXeYe++91xdm/dt86623mo8++sgsXrzYdOzY0SxdutQYY8zHH39s/vjHPxpjjGnSpInp3Lmz6dSpk+/f5Zdfbjp16pQnRPsH4+nTp5upU6ea7777zjz99NPm/vvvN8bkDbxDhw41mzZtMsYY88MPP5j+/fv7HuvUqZN5/PHHze9//3vTr18/89prrxU44Pv27Wu+/fZb89VXX5m2bdua9evXG2NOf0Pnv4633XabWbp0qTly5Ih59dVXzdy5c82hQ4fMpEmTzLRp0wpsw0B2bDadmjEFD/pAfxC0VZ4PebYf3oYPH27mz5+fZ9+lpqaaefPmmeHDh5fYxjvvvNP398SJE80DDzxgXn75ZdOrVy8zc+ZM32O5r3ebkGeMMSNGjDD/8z//Y+bNm2diY2PN888/bw4ePGheffVVM3r0aGOM8X1h0aRJkwL/mjZt6qvLppz/8ThnzhwzevRos3r1ajN+/HgzefJk32Pz5s0zhw4dMsacfh117drVtGzZ0nTo0MFs3rzZGHP6yohFixaV+CHZJugNGDDAfPzxx2bx4sWmQ4cOZsWKFcYYY7744gtz8803++o6evSomTJlirnyyitN06ZNTdOmTU2HDh3Mq6++6ivz448/mttvv93ExMSYnj17mp49e5qYmBhz++23m927d5e6XFH8rxKxCXq2/W9xX8blfhFme2zb9NM2X9gZY/elXbB+sVfV+wkvj22bcjbHvzF2fYDtFz02x7Yx5Q/s7KOCvNxH5e1Xjfm/vtWLExil7TO9PIFhsy283F626+jFMp0Ig8YYk5mZafbt21foY5s3bzYPPfSQ6devn+ndu7cZOXKkWbZsme/y0nHjxlktIzU11Tz++OPmiSeeMEeOHDFvv/22iY2NNaNGjTI//fSTMcaYgwcPmgcffND06tXLjB8/3vcCPHz4sPn00099dRX2Isj91759e2NM3tCVk5Njpk2bZoYPH25OnTqV58OIf0fUsWPHPG3OLffss8+aESNGmL179/oeK+yyWv96+/Tpk2dindwXsH+ovfHGG/M83/8DV267MjIyzAcffGDuuusu06pVK/PAAw/4DmD/5eVvj/9j+c+4DhgwwBhz+uxwt27dfPdX9gdGm07NGLuD3jawV+Wzt7Yf3rp3715ke3Jff4V9s5v77/rrr/eV99+nJ0+eNKNHjzYTJ040OTk5vteYTcgz5vQxkSv3OM2V+xqdMGGCmTRpUp7gXdixZlMu/3Ge+81uZmam79L0/Ot49913mw8//NAYY8xXX31lBg4caIwx5tprrzX33HOPadmypbn33nvNmjVr8kx8lcsm6Nket6NGjTLz5883W7duNbNmzTILFy40mzZtMiNGjDBz5841xhgzcOBAs3Tp0jxtyc7ONkuWLDG33HKL7z6bcjb9qjF2Qc+2//XyyzibftrmC7v87S/qS7tg/WKvqvcTXh7bNuVsjn9j7PoA2y96bI5tY+z2JfsocPvItv+16Vur+gkMm23h5fayXUfbZRbHmTDoryrMLlnYiyD3X/PmzY0xxvTo0aPA82bNmmVuv/32PI/5H2SPPvponvL+B8HWrVvNwIEDzZtvvmmMMYVeVnvDDTf4Akr+M6a5H4SnTp3qu/whPj7eLF++3BhzOqTcdtttvvKFzaK1f/9+s2DBAt+beL9+/czOnTvNN998Y9q1a2c2bNhgjDl9kOYf7/njjz8aY4zZsmWLGTx4cJ4256rsD4w2nZoxdge9bWCvymdvbT68GXP6tVbY5Ybr16/3vS4K+2Y397b/Gbj8l2dnZWWZBx54wDz00EO+7WQT8nK3Ra784yD961i9erUZMGCA7wugwo41m3J9+vTxXbaU+wVIYW3x33b++9e/XO7/hw4dMi+99JLp1auXufbaa83s2bPNDz/8UGi9RX04yr38/scffzStW7c2e/bsMcac/pDnv739j2FjjO8YPHXqlK/Nxb0m/B+zKWfTrxpjF/Rs+18vv4wzpuR+2uYLO2PsvrQL1i/2qno/YYx3x7ZNOZvj3//v4voA2/1oc2wbY7cv2Ud9C/xdWfvItv+16Vur+gkMm23h5fayXUfbZRYnMtA/bREIc+fO1V//+tcSy23dulXNmzcvd5my1NWgQQO9+eabqlevXoFyHTp0kCRddNFF+vrrr3XVVVf5Hhs/fryefvppvfDCC777GjRooOPHj+vss8/WzJkzfffv378/z+/XXX755Xr11Vf1l7/8RXfccYcyMzMLLPvUqVO6++67Zf735ylTUlJUr149HT9+3Pc7cZMmTVJCQoKuv/561apVSy+//LLGjRundu3a6YknnvDVZQr5ict69epp1KhRGjVqlCTpvvvu0+DBgxUeHq5nnnlGc+fO1cGDB7V//37fj5nnlrvlllt0/vnn6+DBg3rmmWckSYcOHVLr1q195Y4cOaI+ffrkWWZ4eLj69u2rBQsWSJJiY2PVoEGDQtuX+8OykrRnzx795S9/kSR169ZNM2bM0MiRIzV//nxfmRMnTqhLly6STr/ucpfduXNn33MlacyYMdq0aZOmT5/u+0H2zp07a/Xq1XnKbNu2TQ8++KD69u2rwYMHKywsrEAb/du9fv16vffee6pWrZoaN26s3r17S5LS09PztPGKK66QJDVq1CjPfj/33HM1adIkPfLII/r444/1/vvva86cOerYsaNuuukmtW/fXpLUpEkTSVKNGjV82/uSSy7J066jR4/61n/o0KG66aabdN999ykuLk49evSQJEVFRWnDhg268sor8zz3m2++UfXq1X23p0+frnHjxikqKkoNGjSQJO3du1fp6emKj4+XJJ1//vlaunSpateuXWAb5R5DknTeeefp22+/VdOmTSVJERERmjNnjsaPH6/vv/9ekvJs58svvzxPXf6PnXHGGb5jzb+POXz4sCIiIny3O3XqpFatWikuLk4rVqxQdnZ2gTbalPvuu+905ZVXyhijsLAw3/GYnp6unJwcX7kWLVrotdde09ChQ9WsWTN98803at26tXbu3Klq1arlWY86depo+PDhGj58uDZu3Ki///3vuuWWW/T1119LOv1DyWlpaTp+/LiOHj2qH3/8URdffLHS0tKUkZEhSfrjH/+obt26+fbV+PHjde6552rr1q0aMWJEnm135MgR1apVS3v37vW1OSoqSpGRp9+eatWqpcTERPXq1cvXRmOMli1bppo1a/rqsiln069KynMMhIWFaerUqYqPj9fdd9/tO3aK63/9973/8Zh7vOTKXV/bY1squZ/OyMjQrl27fK+J3P0rKc9veV599dWaNWuW7r//frVr104rVqxQz549tXbtWt8PZ9uU8VetWjX16NFDPXr0UEpKihYvXqy4uDitXLlSYWFh2rVrl3799Vf99ttv2rhxo1q1aqXdu3fneV1HRkbqp59+0v/7f/9PSUlJvuM+PDzc95rwop9ISEiQFJh+Qsp7bC9fvrzMx7ZNOZvj37+NxfUBNsd/bl0lHdu5t0val+yjwO0j2/7Xpm+16Vdz689V3j7Tpj+07edstoWX28t2HW2XWSyryFiFlWdsWCCn1541a5bvDEt+cXFxxpjTl5YWNf7MZgzZiRMnfNeo57dhwwazcOHCEuvI9dtvv/kuhfWvf/v27Wbr1q2FbvtffvnFuv5cWVlZZsuWLXnGvuQ6evSo2bx5c7Hj3gYOHJjnEmBjTn9DtXTpUt/lE507dzb79+8v9Pn+l6TYnBmwPStrjN2ZWWNOD5KfPXu2+eMf/2iuu+66Ao9X5bO3GzZsMN26dTOxsbFm5MiRZuTIkSY2NtZ069atwDf8OTk5ZvPmzWbVqlVm1apVZvPmzXn260MPPWT+85//FLoN/ccn7N69O883b/71f/LJJ8aY06+bwl5XaWlpeb7F9V++v9TUVPPdd98V+tjy5csLHdda1nLGnD4WcveDMafHqY4aNcp07tzZDB482DRv3tx07drV9O7d22zZssUYU/xMs/6/g/ruu++a1q1bm9atW5tly5aZgQMHmrvvvtu0b9/eLFq0yFfu8OHDvuP+2LFjZuXKlQWuynjvvffMddddZ0aOHGmuueYa3+vw4MGDZsSIEcaY0/vn9ttvN1dddZWJjY01vXr1MjExMWbo0KFm165dvrpsytn0q8ac7ou/+uqrAmXmzJljmjRp4lu//ONic/tj//73nnvuKfS1k5ycXOASnpKO7fw2bNhgnn/++Tz35f+WObcvO3bsWJ7jOT093cTFxZmYmBjTtWtX06RJE9O8eXPfOCPbMsbYzVK8evVqc9VVV5l27dqZf//73+aOO+4wPXv2NG3atDHLli3zlVuzZo1p166diY2N9ZU15vRrIrcPLa6f8H/dG1Own3jhhRfK3E/kf89au3ZtmfqJ/HLnLijJ2rVrza+//lpgHUsql//4v/zyywsc/8bY9QG2x7/NsW2M3b4szz4ypmx9eX4rVqww06dPL/Jxfzb7KH+5YN1HhfWrV111VYH+16ZvtelXjfG2z8y9uqq4/tC2n/vhhx/ybIvY2NgC28KmjO32sl3H3H0UExNT7DKLE7JhsLixYbmXLPnzcnagQM40hOLl79gKO2i8/MBYmk7NmNJ9GCwqsHvZ+ZX1Q16vXr1MmzZtzD/+8Q9fOZsPecaUHPKMOX38PProo2bYsGHmtddey/NYSTM55mcz9tM25PnXVVS7bAfR25Tz3w42M1ru2bPHfPTRR+bDDz/M8wHDGFPkLJ+FKSnolaZdO3fuNB988EGJY3ZTU1NNUlKSSUpKKnbyBNtyuQr7Qs0m6NnM0lzcMkv6Mi5/yCtpmcWN6z1y5Ig5efJkgS/sjMn7pV1R26ukMoV9AC9poqysrCyzadMmqy/2CqurpJBnTMFL/nfs2GE16VZZZ3ItrJ9Yu3atSUtLy9NP2LTLdvKI0kws5n/8v/jiiwXaWlgfUNi2yH/8r1ixotDhN/mP7aJmQsy/L7ds2VJkn1ucosbL/+lPf/K9zoqqN/8+8q/r2LFj5uGHHzadO3fOM/a+sDKFTdZkW86YvPuosG1q20/bfBlnTOn736+++sps2rSpxMnmCpuULv8JDP8yxR2PueX2799fZJ/51VdfmQULFli3KyUlpcgTGF9//bXZsmVLkXXZvMeU9n3IxjfffFPsSZr8+6g0M/OGbBi0HVBpExptg6WXdaFieXGglufM7IkTJ4pdbmnPzOa/9r8wv/32W57Z0nLbEUxnb21Dns14TdtAUlxdueHZJuTZtst2EH156/I/C2SzXVNTU61Daknb1XYdbeqyDUA25WwDnE052/HANnXZrqPNMnPruummm6zW0b9cy5YtC91exZUp7ba3bVdpfgqpqJBnMxbby5lcy1NX8+bN89RlO3lEWdpV1Payab/XIdUmwNnOkGszXt7LuvzLTJs2rcjJmmzK2WwH2/bnD5+PPPJIgSBbWDnbyeZ69epVYLI5L2cnrqi61q9fb11XYeuYO6FecV/22ZTxL1fcl3g2ZYyxn8SvOCEbBm0HVHo5O5CXdaHy2QQqmzIVVZftxDaV3S4v67INETYD0YO1LttB9F7WVdkh1ct22YYum3Je1mUzyYHX7bJZZrBuLy/r8nL21WCty3byCC/bZVPOy7qMKX3oKm6GXJvJQrysy3ayJi/b5eX28nKyOS9nJw7Wumwm1LMp43VdtpP4FSdkw6DN2DBjvJ0dyMu6UDGKClM7duzwBSrb0GVTzsu6bGdCLE+7/LdDINbRNkTYjNcM1rpsZ6H0sq7KDqletss2dNmU87Iu2/HAXrbLZpnBur28rMvL2VeDtS7bMl62q7JDqjHehi6b8fJe1mVTxut2VXZItZ1p08vZiYO1LptZk23KeF2X/34sbvbY4oTsbKKzZs3S1KlTNWPGDN9sPSkpKWratKlmzZrlK+fl7EBe1oWKYTNTqO1sopVdl+1MiFV5HW1nG7OZSTdY67KdBdjLumzab7uO5Z1ps7TtMhYzy9mW87Iu21mavWyXzTKDdXt5WZeXs68Ga122Zbxsl005L+uS7GZ7tJ0h12a2cy/rsinjdbu83F5ezrTp5ezEwVpXruJmTS5NGa/qsp2puVhWkbEKK2lsmM2EIjZlvK4LFcNmplDb2UQruy7biW2q8joWNymP/+9J2YzXDNa6bMeaelmXTftt19GmnJftsp2Eyaacl3UVJf/EMF62y2aZwbq9KmLbl2X21aLGYgdrXaUp41W7bMp5VZfNhGc2ZYrjP9u5l3WVp0xZ2+Xl9vJysjkvZycO1rpszrLZnonzsq7iJvHzn6m5OCEfBm15OTtQoGYaQslsApVt6KrsumxV5XUs78+l+AvWugKhskOql+0qSnGzcZa2nJd12fKyXV4tz+t2VVZdpZ1wqzjBWpeXvAiWFVGXPy9Dl1fLC4SyBMuKqKukyeZKU66q1mUzoZ7tpHte1pVfcZP4FSXMmEKu2QIAAAAAhLTwkosAAAAAAEINYRAAAAAAHEQYBAAAAAAHEQYBACijoUOH6qqrrlJGRkagmwIAQKkRBgEAKINffvlF69atU1hYmD7++ONANwcAgFIjDAIAUAZLlixRy5Yt1b9/fy1ZssR3/+HDhzVq1Ci1bt1aAwYM0DPPPKPBgwf7Ht+1a5eGDRumtm3bqnv37lqxYkUAWg8AgBQZ6AYAAFAVLV26VHfccYdatmypgQMH6tChQzrvvPM0Y8YMnXnmmVq7dq327t2rO++8U/Xr15ck/fbbbxo+fLjuu+8+vfDCC9qxY4eGDRumxo0b69JLLw3wGgEAXMOZQQAASmndunXat2+fbrjhBrVo0UIXXXSREhMTlZ2drQ8//FB/+tOfdOaZZ+rSSy9Vv379fM/75JNP1KBBAw0YMECRkZG6/PLL1b17d61cuTJwKwMAcBZnBgEAKKUlS5aoffv2ql27tiQpNjZWixcvVq9evZSVlaXo6GhfWf+/9+7dq82bNysmJsZ3X3Z2tvr06VN5jQcA4H8RBgEAKIVTp07pgw8+UE5Ojtq3by9JysjI0K+//qrU1FRFRkZq//79atSokSQpOTnZ99zo6GhdddVVWrRoUUDaDgCAPy4TBQCgFD766CNFRERo+fLlWrJkiZYsWaIVK1YoJiZGS5YsUbdu3fTcc8/p5MmT2rVrl5YuXep7bseOHbVnzx4tWbJEmZmZyszM1ObNm7Vr164ArhEAwFWEQQAASmHx4sW68cYbVb9+fZ1//vm+f7feequWLVumKVOm6NixY2rfvr3GjRunXr16qXr16pKks88+Wy+99JJWrFih6667Ttdee62eeuopfqcQABAQYcYYE+hGAAAQqmbPnq1Dhw4pPj4+0E0BACAPzgwCAOChXbt26dtvv5UxRps3b9Z7772nbt26BbpZAAAUwAQyAAB46MSJE3rooYd04MAB1alTR8OHD1eXLl0C3SwAAArgMlEAAAAAcBCXiQIAAACAgwiDAAAAAOAgwiAAAAAAOIgwCAAAAAAOIgwCAAAAgIP+P4WCoPYVWhZyAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation: It looks like the more survived passenger belongs to younger population","metadata":{}},{"cell_type":"code","source":"# Count plot for SibSp - Siblings and spouse onboared\nf, ax = plt.subplots(figsize=(10, 5))\nplot = sns.countplot(x='SibSp', data=train_df, hue='Survived')\nplot.set_xticklabels(plot.get_xticklabels(), rotation=90) # for readibility\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.352849Z","iopub.execute_input":"2021-08-07T18:43:31.353227Z","iopub.status.idle":"2021-08-07T18:43:31.596075Z","shell.execute_reply.started":"2021-08-07T18:43:31.353198Z","shell.execute_reply":"2021-08-07T18:43:31.595265Z"},"trusted":true},"execution_count":62,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation : It looks like the chances of passenger to survive is more if he have no siblings or spouse","metadata":{}},{"cell_type":"code","source":"print(train_df['Embarked'].value_counts())\n# Count plot for Cabin and survivals\nf, ax = plt.subplots(figsize=(10, 10))\nplot = sns.countplot(x='Embarked', data=train_df,hue='Survived')\nplot.set_xticklabels(plot.get_xticklabels(), rotation=90) # for readibility\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.597029Z","iopub.execute_input":"2021-08-07T18:43:31.597393Z","iopub.status.idle":"2021-08-07T18:43:31.794816Z","shell.execute_reply.started":"2021-08-07T18:43:31.597365Z","shell.execute_reply":"2021-08-07T18:43:31.793787Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stdout","text":"S 646\nC 168\nQ 77\nName: Embarked, dtype: int64\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 720x720 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation : Looks like the embarked = 'S' have higher probability of passenger survival","metadata":{}},{"cell_type":"code","source":"f, ax = plt.subplots(figsize=(10, 5))\nplot = sns.countplot(x='Sex', data=train_df, hue='Survived')\nplot.set_xticklabels(plot.get_xticklabels(), rotation=0) # for readibility\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.798220Z","iopub.execute_input":"2021-08-07T18:43:31.798571Z","iopub.status.idle":"2021-08-07T18:43:31.960477Z","shell.execute_reply.started":"2021-08-07T18:43:31.798539Z","shell.execute_reply":"2021-08-07T18:43:31.959446Z"},"trusted":true},"execution_count":64,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation : looks like female passesnger have more chances of survival than male passenger","metadata":{}},{"cell_type":"markdown","source":"## Step 4: Data imputation","metadata":{}},{"cell_type":"code","source":"#### Step 4.1 Encode the Sex Columns to numberical value\ntrain_df['Sex'] = train_df['Sex'].replace(('male','female'),(1,0))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.961648Z","iopub.execute_input":"2021-08-07T18:43:31.961962Z","iopub.status.idle":"2021-08-07T18:43:31.971322Z","shell.execute_reply.started":"2021-08-07T18:43:31.961933Z","shell.execute_reply":"2021-08-07T18:43:31.970375Z"},"trusted":true},"execution_count":65,"outputs":[]},{"cell_type":"code","source":"# The Cabin suggest probably the location of passenger.\n# The first Character of Cabin might tells about the desk number or \n# location of passenger and might be an importent featue for passenger survival\ntrain_df['Cabin']= train_df['Cabin'].str.slice(0, 1)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.974350Z","iopub.execute_input":"2021-08-07T18:43:31.974641Z","iopub.status.idle":"2021-08-07T18:43:31.986378Z","shell.execute_reply.started":"2021-08-07T18:43:31.974612Z","shell.execute_reply":"2021-08-07T18:43:31.985006Z"},"trusted":true},"execution_count":66,"outputs":[]},{"cell_type":"code","source":"train_df['Cabin'].value_counts","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:31.987760Z","iopub.execute_input":"2021-08-07T18:43:31.988075Z","iopub.status.idle":"2021-08-07T18:43:32.008040Z","shell.execute_reply.started":"2021-08-07T18:43:31.988045Z","shell.execute_reply":"2021-08-07T18:43:32.006875Z"},"trusted":true},"execution_count":67,"outputs":[{"execution_count":67,"output_type":"execute_result","data":{"text/plain":"<bound method IndexOpsMixin.value_counts of 0 B\n1 C\n2 B\n3 C\n4 B\n ..\n886 B\n887 B\n888 B\n889 C\n890 B\nName: Cabin, Length: 891, dtype: object>"},"metadata":{}}]},{"cell_type":"code","source":"### Step 4.2 Correlation between Cabin and target variable, perfrom target encoding using correlation factor. \ntemp_df = train_df[['Cabin','Survived']].groupby(['Cabin'],as_index=False).mean().sort_values(by = 'Cabin', ascending = False)\na_dict_cab = dict(temp_df.values)\n#Lets perform target encoding for Cabin\ntrain_df['Cabin'] = train_df['Cabin'].replace(a_dict_cab)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.011031Z","iopub.execute_input":"2021-08-07T18:43:32.011537Z","iopub.status.idle":"2021-08-07T18:43:32.026561Z","shell.execute_reply.started":"2021-08-07T18:43:32.011502Z","shell.execute_reply":"2021-08-07T18:43:32.025765Z"},"trusted":true},"execution_count":68,"outputs":[]},{"cell_type":"code","source":"### Step 4.3 Correlation between Embarked and target variable, perfrom target encoding using correlation factor. \ntemp_df = train_df[['Embarked','Survived']].groupby(['Embarked'],as_index=False).mean().sort_values(by = 'Embarked', ascending = False)\na_dict_emb = dict(temp_df.values)\n#Lets perform target encoding for Cabin\ntrain_df['Embarked'] = train_df['Embarked'].replace(a_dict_emb)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.027971Z","iopub.execute_input":"2021-08-07T18:43:32.028431Z","iopub.status.idle":"2021-08-07T18:43:32.040768Z","shell.execute_reply.started":"2021-08-07T18:43:32.028384Z","shell.execute_reply":"2021-08-07T18:43:32.039967Z"},"trusted":true},"execution_count":69,"outputs":[]},{"cell_type":"code","source":"## Drop the name and Ticket columns\n#### Step 4.1 Drop the dates columns\ntrain_df.drop(['Name','Ticket'],axis=1, inplace=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.041964Z","iopub.execute_input":"2021-08-07T18:43:32.042569Z","iopub.status.idle":"2021-08-07T18:43:32.050877Z","shell.execute_reply.started":"2021-08-07T18:43:32.042530Z","shell.execute_reply":"2021-08-07T18:43:32.049791Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"train_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.052290Z","iopub.execute_input":"2021-08-07T18:43:32.052723Z","iopub.status.idle":"2021-08-07T18:43:32.077168Z","shell.execute_reply.started":"2021-08-07T18:43:32.052688Z","shell.execute_reply":"2021-08-07T18:43:32.076261Z"},"trusted":true},"execution_count":71,"outputs":[{"execution_count":71,"output_type":"execute_result","data":{"text/plain":" PassengerId Survived Pclass Sex Age SibSp Parch Fare Cabin \\\n0 1 0 3 1 22.0 1 0 7.2500 0.328338 \n1 2 1 1 0 38.0 1 0 71.2833 0.593220 \n2 3 1 3 0 26.0 0 0 7.9250 0.328338 \n3 4 1 1 0 35.0 1 0 53.1000 0.593220 \n4 5 0 3 1 35.0 0 0 8.0500 0.328338 \n\n Embarked \n0 0.339009 \n1 0.553571 \n2 0.339009 \n3 0.339009 \n4 0.339009 ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Sex</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Fare</th>\n <th>Cabin</th>\n <th>Embarked</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>1</td>\n <td>22.0</td>\n <td>1</td>\n <td>0</td>\n <td>7.2500</td>\n <td>0.328338</td>\n <td>0.339009</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n <td>38.0</td>\n <td>1</td>\n <td>0</td>\n <td>71.2833</td>\n <td>0.593220</td>\n <td>0.553571</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>0</td>\n <td>26.0</td>\n <td>0</td>\n <td>0</td>\n <td>7.9250</td>\n <td>0.328338</td>\n <td>0.339009</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n <td>35.0</td>\n <td>1</td>\n <td>0</td>\n <td>53.1000</td>\n <td>0.593220</td>\n <td>0.339009</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>0</td>\n <td>3</td>\n <td>1</td>\n <td>35.0</td>\n <td>0</td>\n <td>0</td>\n <td>8.0500</td>\n <td>0.328338</td>\n <td>0.339009</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"### Split the train dataset into dependent and independent variable\nX = train_df.drop(['Survived'], axis = 1)\ny = train_df['Survived']\nprint(\"Shape of X :\", X.shape)\nprint(\"Shape of y :\", y.shape)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.078684Z","iopub.execute_input":"2021-08-07T18:43:32.079034Z","iopub.status.idle":"2021-08-07T18:43:32.086510Z","shell.execute_reply.started":"2021-08-07T18:43:32.079003Z","shell.execute_reply":"2021-08-07T18:43:32.085482Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"Shape of X : (891, 9)\nShape of y : (891,)\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Step 5 : Split the training dataset into train and test\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:25:15.120003Z","iopub.execute_input":"2021-08-07T18:25:15.120375Z","iopub.status.idle":"2021-08-07T18:25:15.124815Z","shell.execute_reply.started":"2021-08-07T18:25:15.120341Z","shell.execute_reply":"2021-08-07T18:25:15.123505Z"}}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split(X, y,test_size=0.20, stratify=y, random_state=42)\nprint(\"Shape of X_train :\", X_train.shape)\nprint(\"Shape of X_test :\", X_test.shape)\nprint(\"Shape of y_train :\", y_train.shape)\nprint(\"Shape of y_test :\", y_test.shape)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.087978Z","iopub.execute_input":"2021-08-07T18:43:32.088508Z","iopub.status.idle":"2021-08-07T18:43:32.101927Z","shell.execute_reply.started":"2021-08-07T18:43:32.088474Z","shell.execute_reply":"2021-08-07T18:43:32.100991Z"},"trusted":true},"execution_count":73,"outputs":[{"name":"stdout","text":"Shape of X_train : (712, 9)\nShape of X_test : (179, 9)\nShape of y_train : (712,)\nShape of y_test : (179,)\n","output_type":"stream"}]},{"cell_type":"code","source":"y_train.value_counts()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.103221Z","iopub.execute_input":"2021-08-07T18:43:32.103624Z","iopub.status.idle":"2021-08-07T18:43:32.112947Z","shell.execute_reply.started":"2021-08-07T18:43:32.103594Z","shell.execute_reply":"2021-08-07T18:43:32.111868Z"},"trusted":true},"execution_count":74,"outputs":[{"execution_count":74,"output_type":"execute_result","data":{"text/plain":"0 439\n1 273\nName: Survived, dtype: int64"},"metadata":{}}]},{"cell_type":"markdown","source":"Observation : It looks like the target(lable) varible is class imbalance, so it might perform well for majority class and bad for minority class. to resolve this we need to resampling for minority class using SMOTE","metadata":{}},{"cell_type":"markdown","source":"### Oversampling the minority class using SMOTE\n","metadata":{}},{"cell_type":"code","source":"import imblearn\nfrom collections import Counter\nfrom imblearn.over_sampling import SMOTE\ncounter = Counter(y_train)\nprint('Before Counter:', counter)\n#Oversampling the train dataset using SMOTE\nsmt = SMOTE()\nX_train, y_train = smt.fit_resample(X_train, y_train)\ncounter = Counter(y_train)\nprint('After Counter:', counter)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.114744Z","iopub.execute_input":"2021-08-07T18:43:32.115658Z","iopub.status.idle":"2021-08-07T18:43:32.135708Z","shell.execute_reply.started":"2021-08-07T18:43:32.115526Z","shell.execute_reply":"2021-08-07T18:43:32.134505Z"},"trusted":true},"execution_count":75,"outputs":[{"name":"stdout","text":"Before Counter: Counter({0: 439, 1: 273})\nAfter Counter: Counter({1: 439, 0: 439})\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Step 6 : Feature selection using recursive feature elemination ( rfe )","metadata":{}},{"cell_type":"code","source":"from sklearn.linear_model import LogisticRegression\nfrom sklearn.feature_selection import RFE\nestimator = LogisticRegression(solver='liblinear')\nselector = RFE(estimator, n_features_to_select=7, step=1)\nselector = selector.fit(X_train, y_train)\n# summarize the selection of the attributes\nSelected_Feature = list(X_train.columns[selector.support_])\nprint('Selected features: %s' % Selected_Feature)\nprint('Feature ranking: %s' % selector.ranking_)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.137213Z","iopub.execute_input":"2021-08-07T18:43:32.138019Z","iopub.status.idle":"2021-08-07T18:43:32.162477Z","shell.execute_reply.started":"2021-08-07T18:43:32.137977Z","shell.execute_reply":"2021-08-07T18:43:32.161504Z"},"trusted":true},"execution_count":76,"outputs":[{"name":"stdout","text":"Selected features: ['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Cabin', 'Embarked']\nFeature ranking: [3 1 1 1 1 1 2 1 1]\n","output_type":"stream"}]},{"cell_type":"code","source":"## Feature ranking with recursive feature elimination and cross-validation\nfrom sklearn.feature_selection import RFECV\n# Create the RFE object and compute a cross-validated score.\n# The \"accuracy\" scoring is proportional to the number of correct classifications\nrfecv = RFECV(estimator,step=1,cv=10, scoring='accuracy')\nrfecv.fit(X_train, y_train)\n\nprint(\"Optimal number of features: %d\" % rfecv.n_features_)\nprint('Selected features: %s' % list(X_train.columns[rfecv.support_]))\n\n# Plot number of features VS. cross-validation scores\nplt.figure(figsize=(10,6))\nplt.xlabel(\"Number of features selected\")\nplt.ylabel(\"Cross validation score (nb of correct classifications)\")\nplt.plot(range(1, len(rfecv.grid_scores_) + 1), rfecv.grid_scores_)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.163659Z","iopub.execute_input":"2021-08-07T18:43:32.163978Z","iopub.status.idle":"2021-08-07T18:43:32.666282Z","shell.execute_reply.started":"2021-08-07T18:43:32.163949Z","shell.execute_reply":"2021-08-07T18:43:32.665292Z"},"trusted":true},"execution_count":77,"outputs":[{"name":"stdout","text":"Optimal number of features: 9\nSelected features: ['PassengerId', 'Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Cabin', 'Embarked']\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 720x432 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"X_train = X_train[Selected_Feature] # select only features extracted by RFE\nX_test = X_test[Selected_Feature] # select only features extracted by RFE","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.667515Z","iopub.execute_input":"2021-08-07T18:43:32.667872Z","iopub.status.idle":"2021-08-07T18:43:32.674110Z","shell.execute_reply.started":"2021-08-07T18:43:32.667839Z","shell.execute_reply":"2021-08-07T18:43:32.673068Z"},"trusted":true},"execution_count":78,"outputs":[]},{"cell_type":"markdown","source":"## Step 7 : Model evaluation using logistic regression","metadata":{}},{"cell_type":"code","source":"logreg = LogisticRegression()\nfrom sklearn.metrics import accuracy_score, classification_report, precision_score, recall_score \nfrom sklearn.metrics import confusion_matrix, precision_recall_curve, roc_curve, auc, log_loss\nlogreg.fit(X_train,y_train) # model training\ny_pred = logreg.predict(X_test) # model testing \n\nprint(\"Training Accuracy: \", logreg.score(X_train, y_train))\nprint('Testing Accuarcy: ', logreg.score(X_test, y_test))\n\n# making a classification report\ncr = classification_report(y_test, y_pred)\nprint(cr)\n\ncm = confusion_matrix(y_test, y_pred)\ndf_cm = pd.DataFrame(cm, columns=np.unique(y_test), index = np.unique(y_test))\ndf_cm.index.name = 'Actual'\ndf_cm.columns.name = 'Predicted'\nplt.figure(figsize = (8,5))\nsns.set(font_scale=1.5) #for label size\nsns.heatmap(df_cm, cmap=\"Blues\", annot=True,annot_kws={\"size\": 16},fmt='d') # font size","metadata":{"execution":{"iopub.status.busy":"2021-08-07T18:43:32.675636Z","iopub.execute_input":"2021-08-07T18:43:32.676065Z","iopub.status.idle":"2021-08-07T18:43:33.002568Z","shell.execute_reply.started":"2021-08-07T18:43:32.676022Z","shell.execute_reply":"2021-08-07T18:43:33.001541Z"},"trusted":true},"execution_count":79,"outputs":[{"name":"stdout","text":"Training Accuracy: 0.8189066059225513\nTesting Accuarcy: 0.8044692737430168\n precision recall f1-score support\n\n 0 0.84 0.85 0.84 110\n 1 0.75 0.74 0.74 69\n\n accuracy 0.80 179\n macro avg 0.79 0.79 0.79 179\nweighted avg 0.80 0.80 0.80 179\n\n","output_type":"stream"},{"execution_count":79,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='Predicted', ylabel='Actual'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 576x360 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"### Step 7.1 : Lets use K-fold cross-validation using cross_val_score() function for model evaluation","metadata":{}},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}	0070/599/70599016.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "18820935", "metadata": { "papermill": { "duration": 0.022869, "end_time": "2021-08-07T18:53:29.148873", "exception": false, "start_time": "2021-08-07T18:53:29.126004", "status": "completed" }, "tags": [] }, "source": [ "# Connecting Kaggle TPU and importing important libraries" ] }, { "cell_type": "code", "execution_count": 1, "id": "70a736cf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:29.211315Z", "iopub.status.busy": "2021-08-07T18:53:29.206136Z", "iopub.status.idle": "2021-08-07T18:53:41.481402Z", "shell.execute_reply": "2021-08-07T18:53:41.480709Z", "shell.execute_reply.started": "2021-08-07T18:42:56.390292Z" }, "papermill": { "duration": 12.30655, "end_time": "2021-08-07T18:53:41.481585", "exception": false, "start_time": "2021-08-07T18:53:29.175035", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import tensorflow as tf\n", "tpu = tf.distribute.cluster_resolver.TPUClusterResolver.connect()\n", "tpu_strategy = tf.distribute.experimental.TPUStrategy(tpu)\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "\n", "import warnings\n", "warnings.filterwarnings(action=\"ignore\")" ] }, { "cell_type": "markdown", "id": "d4df39af", "metadata": { "papermill": { "duration": 0.018153, "end_time": "2021-08-07T18:53:41.518181", "exception": false, "start_time": "2021-08-07T18:53:41.500028", "status": "completed" }, "tags": [] }, "source": [ "# Importing training and testing datasets" ] }, { "cell_type": "code", "execution_count": 2, "id": "7c2ea9d0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:41.560466Z", "iopub.status.busy": "2021-08-07T18:53:41.559803Z", "iopub.status.idle": "2021-08-07T18:53:41.644182Z", "shell.execute_reply": "2021-08-07T18:53:41.643484Z", "shell.execute_reply.started": "2021-08-07T18:43:09.881882Z" }, "papermill": { "duration": 0.10763, "end_time": "2021-08-07T18:53:41.644328", "exception": false, "start_time": "2021-08-07T18:53:41.536698", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df_test=pd.read_csv(\"../input/house-prices-advanced-regression-techniques/test.csv\")\n", "df_train=pd.read_csv(\"../input/house-prices-advanced-regression-techniques/train.csv\")" ] }, { "cell_type": "markdown", "id": "eec33dd8", "metadata": { "papermill": { "duration": 0.018375, "end_time": "2021-08-07T18:53:41.681625", "exception": false, "start_time": "2021-08-07T18:53:41.663250", "status": "completed" }, "tags": [] }, "source": [ "Checking the shape for training set" ] }, { "cell_type": "code", "execution_count": 3, "id": "197e9cae", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:41.727432Z", "iopub.status.busy": "2021-08-07T18:53:41.726424Z", "iopub.status.idle": "2021-08-07T18:53:41.730722Z", "shell.execute_reply": "2021-08-07T18:53:41.731241Z", "shell.execute_reply.started": "2021-08-07T18:43:10.824948Z" }, "papermill": { "duration": 0.030915, "end_time": "2021-08-07T18:53:41.731437", "exception": false, "start_time": "2021-08-07T18:53:41.700522", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(1460, 81)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.shape" ] }, { "cell_type": "markdown", "id": "ff252605", "metadata": { "papermill": { "duration": 0.018417, "end_time": "2021-08-07T18:53:41.769006", "exception": false, "start_time": "2021-08-07T18:53:41.750589", "status": "completed" }, "tags": [] }, "source": [ "Checking for null values in training set" ] }, { "cell_type": "code", "execution_count": 4, "id": "4ea19f4d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:41.811420Z", "iopub.status.busy": "2021-08-07T18:53:41.810708Z", "iopub.status.idle": "2021-08-07T18:53:41.831007Z", "shell.execute_reply": "2021-08-07T18:53:41.831515Z", "shell.execute_reply.started": "2021-08-07T18:43:11.298093Z" }, "papermill": { "duration": 0.043976, "end_time": "2021-08-07T18:53:41.831705", "exception": false, "start_time": "2021-08-07T18:53:41.787729", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Id 0\n", "MSSubClass 0\n", "MSZoning 0\n", "LotFrontage 259\n", "LotArea 0\n", " ... \n", "MoSold 0\n", "YrSold 0\n", "SaleType 0\n", "SaleCondition 0\n", "SalePrice 0\n", "Length: 81, dtype: int64" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.isna().sum()" ] }, { "cell_type": "markdown", "id": "dfa5ccdd", "metadata": { "papermill": { "duration": 0.018729, "end_time": "2021-08-07T18:53:41.869478", "exception": false, "start_time": "2021-08-07T18:53:41.850749", "status": "completed" }, "tags": [] }, "source": [ "**Top 10 rows from the training set:" ] }, { "cell_type": "code", "execution_count": 5, "id": "f4dff3e6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:41.910924Z", "iopub.status.busy": "2021-08-07T18:53:41.910208Z", "iopub.status.idle": "2021-08-07T18:53:41.950954Z", "shell.execute_reply": "2021-08-07T18:53:41.950213Z", "shell.execute_reply.started": "2021-08-07T18:43:11.710975Z" }, "papermill": { "duration": 0.062469, "end_time": "2021-08-07T18:53:41.951096", "exception": false, "start_time": "2021-08-07T18:53:41.888627", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Id</th>\n", " <th>MSSubClass</th>\n", " <th>MSZoning</th>\n", " <th>LotFrontage</th>\n", " <th>LotArea</th>\n", " <th>Street</th>\n", " <th>Alley</th>\n", " <th>LotShape</th>\n", " <th>LandContour</th>\n", " <th>Utilities</th>\n", " <th>...</th>\n", " <th>PoolArea</th>\n", " <th>PoolQC</th>\n", " <th>Fence</th>\n", " <th>MiscFeature</th>\n", " <th>MiscVal</th>\n", " <th>MoSold</th>\n", " <th>YrSold</th>\n", " <th>SaleType</th>\n", " <th>SaleCondition</th>\n", " <th>SalePrice</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>65.0</td>\n", " <td>8450</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>2008</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>208500</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>80.0</td>\n", " <td>9600</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>5</td>\n", " <td>2007</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>181500</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>68.0</td>\n", " <td>11250</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>9</td>\n", " <td>2008</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>223500</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>70</td>\n", " <td>RL</td>\n", " <td>60.0</td>\n", " <td>9550</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>2006</td>\n", " <td>WD</td>\n", " <td>Abnorml</td>\n", " <td>140000</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>84.0</td>\n", " <td>14260</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>12</td>\n", " <td>2008</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>250000</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>6</td>\n", " <td>50</td>\n", " <td>RL</td>\n", " <td>85.0</td>\n", " <td>14115</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>MnPrv</td>\n", " <td>Shed</td>\n", " <td>700</td>\n", " <td>10</td>\n", " <td>2009</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>143000</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>7</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>75.0</td>\n", " <td>10084</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>8</td>\n", " <td>2007</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>307000</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>8</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>NaN</td>\n", " <td>10382</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>Shed</td>\n", " <td>350</td>\n", " <td>11</td>\n", " <td>2009</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>200000</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>9</td>\n", " <td>50</td>\n", " <td>RM</td>\n", " <td>51.0</td>\n", " <td>6120</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>4</td>\n", " <td>2008</td>\n", " <td>WD</td>\n", " <td>Abnorml</td>\n", " <td>129900</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>10</td>\n", " <td>190</td>\n", " <td>RL</td>\n", " <td>50.0</td>\n", " <td>7420</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>2008</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " <td>118000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>10 rows × 81 columns</p>\n", "</div>" ], "text/plain": [ " Id MSSubClass MSZoning LotFrontage LotArea Street Alley LotShape \\\n", "0 1 60 RL 65.0 8450 Pave NaN Reg \n", "1 2 20 RL 80.0 9600 Pave NaN Reg \n", "2 3 60 RL 68.0 11250 Pave NaN IR1 \n", "3 4 70 RL 60.0 9550 Pave NaN IR1 \n", "4 5 60 RL 84.0 14260 Pave NaN IR1 \n", "5 6 50 RL 85.0 14115 Pave NaN IR1 \n", "6 7 20 RL 75.0 10084 Pave NaN Reg \n", "7 8 60 RL NaN 10382 Pave NaN IR1 \n", "8 9 50 RM 51.0 6120 Pave NaN Reg \n", "9 10 190 RL 50.0 7420 Pave NaN Reg \n", "\n", " LandContour Utilities ... PoolArea PoolQC Fence MiscFeature MiscVal \\\n", "0 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "1 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "2 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "3 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "4 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "5 Lvl AllPub ... 0 NaN MnPrv Shed 700 \n", "6 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "7 Lvl AllPub ... 0 NaN NaN Shed 350 \n", "8 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "9 Lvl AllPub ... 0 NaN NaN NaN 0 \n", "\n", " MoSold YrSold SaleType SaleCondition SalePrice \n", "0 2 2008 WD Normal 208500 \n", "1 5 2007 WD Normal 181500 \n", "2 9 2008 WD Normal 223500 \n", "3 2 2006 WD Abnorml 140000 \n", "4 12 2008 WD Normal 250000 \n", "5 10 2009 WD Normal 143000 \n", "6 8 2007 WD Normal 307000 \n", "7 11 2009 WD Normal 200000 \n", "8 4 2008 WD Abnorml 129900 \n", "9 1 2008 WD Normal 118000 \n", "\n", "[10 rows x 81 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.head(10)" ] }, { "cell_type": "markdown", "id": "d8fec845", "metadata": { "papermill": { "duration": 0.019686, "end_time": "2021-08-07T18:53:41.990957", "exception": false, "start_time": "2021-08-07T18:53:41.971271", "status": "completed" }, "tags": [] }, "source": [ "# Checking the shape for testing set" ] }, { "cell_type": "code", "execution_count": 6, "id": "c9814f1b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.035957Z", "iopub.status.busy": "2021-08-07T18:53:42.035166Z", "iopub.status.idle": "2021-08-07T18:53:42.038072Z", "shell.execute_reply": "2021-08-07T18:53:42.038667Z", "shell.execute_reply.started": "2021-08-07T18:43:12.219495Z" }, "papermill": { "duration": 0.027995, "end_time": "2021-08-07T18:53:42.038856", "exception": false, "start_time": "2021-08-07T18:53:42.010861", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(1459, 80)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_test.shape" ] }, { "cell_type": "markdown", "id": "7d4cb5f3", "metadata": { "papermill": { "duration": 0.020747, "end_time": "2021-08-07T18:53:42.079910", "exception": false, "start_time": "2021-08-07T18:53:42.059163", "status": "completed" }, "tags": [] }, "source": [ "Top 10 rows for testing set" ] }, { "cell_type": "code", "execution_count": 7, "id": "342197c4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.123756Z", "iopub.status.busy": "2021-08-07T18:53:42.122978Z", "iopub.status.idle": "2021-08-07T18:53:42.155392Z", "shell.execute_reply": "2021-08-07T18:53:42.155934Z", "shell.execute_reply.started": "2021-08-07T18:43:12.748141Z" }, "papermill": { "duration": 0.055926, "end_time": "2021-08-07T18:53:42.156110", "exception": false, "start_time": "2021-08-07T18:53:42.100184", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Id</th>\n", " <th>MSSubClass</th>\n", " <th>MSZoning</th>\n", " <th>LotFrontage</th>\n", " <th>LotArea</th>\n", " <th>Street</th>\n", " <th>Alley</th>\n", " <th>LotShape</th>\n", " <th>LandContour</th>\n", " <th>Utilities</th>\n", " <th>...</th>\n", " <th>ScreenPorch</th>\n", " <th>PoolArea</th>\n", " <th>PoolQC</th>\n", " <th>Fence</th>\n", " <th>MiscFeature</th>\n", " <th>MiscVal</th>\n", " <th>MoSold</th>\n", " <th>YrSold</th>\n", " <th>SaleType</th>\n", " <th>SaleCondition</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1461</td>\n", " <td>20</td>\n", " <td>RH</td>\n", " <td>80.0</td>\n", " <td>11622</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>120</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>MnPrv</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>6</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>1462</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>81.0</td>\n", " <td>14267</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>Gar2</td>\n", " <td>12500</td>\n", " <td>6</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>1463</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>74.0</td>\n", " <td>13830</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>MnPrv</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>1464</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>78.0</td>\n", " <td>9978</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>6</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>1465</td>\n", " <td>120</td>\n", " <td>RL</td>\n", " <td>43.0</td>\n", " <td>5005</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>HLS</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>144</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>1466</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>75.0</td>\n", " <td>10000</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>4</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>1467</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>NaN</td>\n", " <td>7980</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>GdPrv</td>\n", " <td>Shed</td>\n", " <td>500</td>\n", " <td>3</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>1468</td>\n", " <td>60</td>\n", " <td>RL</td>\n", " <td>63.0</td>\n", " <td>8402</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>IR1</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>5</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>1469</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>85.0</td>\n", " <td>10176</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>1470</td>\n", " <td>20</td>\n", " <td>RL</td>\n", " <td>70.0</td>\n", " <td>8400</td>\n", " <td>Pave</td>\n", " <td>NaN</td>\n", " <td>Reg</td>\n", " <td>Lvl</td>\n", " <td>AllPub</td>\n", " <td>...</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>MnPrv</td>\n", " <td>NaN</td>\n", " <td>0</td>\n", " <td>4</td>\n", " <td>2010</td>\n", " <td>WD</td>\n", " <td>Normal</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>10 rows × 80 columns</p>\n", "</div>" ], "text/plain": [ " Id MSSubClass MSZoning LotFrontage LotArea Street Alley LotShape \\\n", "0 1461 20 RH 80.0 11622 Pave NaN Reg \n", "1 1462 20 RL 81.0 14267 Pave NaN IR1 \n", "2 1463 60 RL 74.0 13830 Pave NaN IR1 \n", "3 1464 60 RL 78.0 9978 Pave NaN IR1 \n", "4 1465 120 RL 43.0 5005 Pave NaN IR1 \n", "5 1466 60 RL 75.0 10000 Pave NaN IR1 \n", "6 1467 20 RL NaN 7980 Pave NaN IR1 \n", "7 1468 60 RL 63.0 8402 Pave NaN IR1 \n", "8 1469 20 RL 85.0 10176 Pave NaN Reg \n", "9 1470 20 RL 70.0 8400 Pave NaN Reg \n", "\n", " LandContour Utilities ... ScreenPorch PoolArea PoolQC Fence MiscFeature \\\n", "0 Lvl AllPub ... 120 0 NaN MnPrv NaN \n", "1 Lvl AllPub ... 0 0 NaN NaN Gar2 \n", "2 Lvl AllPub ... 0 0 NaN MnPrv NaN \n", "3 Lvl AllPub ... 0 0 NaN NaN NaN \n", "4 HLS AllPub ... 144 0 NaN NaN NaN \n", "5 Lvl AllPub ... 0 0 NaN NaN NaN \n", "6 Lvl AllPub ... 0 0 NaN GdPrv Shed \n", "7 Lvl AllPub ... 0 0 NaN NaN NaN \n", "8 Lvl AllPub ... 0 0 NaN NaN NaN \n", "9 Lvl AllPub ... 0 0 NaN MnPrv NaN \n", "\n", " MiscVal MoSold YrSold SaleType SaleCondition \n", "0 0 6 2010 WD Normal \n", "1 12500 6 2010 WD Normal \n", "2 0 3 2010 WD Normal \n", "3 0 6 2010 WD Normal \n", "4 0 1 2010 WD Normal \n", "5 0 4 2010 WD Normal \n", "6 500 3 2010 WD Normal \n", "7 0 5 2010 WD Normal \n", "8 0 2 2010 WD Normal \n", "9 0 4 2010 WD Normal \n", "\n", "[10 rows x 80 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_test.head(10)" ] }, { "cell_type": "markdown", "id": "36bc462a", "metadata": { "papermill": { "duration": 0.029858, "end_time": "2021-08-07T18:53:42.213632", "exception": false, "start_time": "2021-08-07T18:53:42.183774", "status": "completed" }, "tags": [] }, "source": [ "# Describing the training set" ] }, { "cell_type": "code", "execution_count": 8, "id": "cc86d664", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.276995Z", "iopub.status.busy": "2021-08-07T18:53:42.276233Z", "iopub.status.idle": "2021-08-07T18:53:42.289582Z", "shell.execute_reply": "2021-08-07T18:53:42.290215Z", "shell.execute_reply.started": "2021-08-07T18:43:13.773800Z" }, "papermill": { "duration": 0.045351, "end_time": "2021-08-07T18:53:42.290415", "exception": false, "start_time": "2021-08-07T18:53:42.245064", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "count 1460.000000\n", "mean 180921.195890\n", "std 79442.502883\n", "min 34900.000000\n", "25% 129975.000000\n", "50% 163000.000000\n", "75% 214000.000000\n", "max 755000.000000\n", "Name: SalePrice, dtype: float64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train['SalePrice'].describe()" ] }, { "cell_type": "markdown", "id": "71c7bc23", "metadata": { "papermill": { "duration": 0.021804, "end_time": "2021-08-07T18:53:42.333838", "exception": false, "start_time": "2021-08-07T18:53:42.312034", "status": "completed" }, "tags": [] }, "source": [ "Checking all the columns in the training set" ] }, { "cell_type": "code", "execution_count": 9, "id": "3f0b01ef", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.381312Z", "iopub.status.busy": "2021-08-07T18:53:42.380660Z", "iopub.status.idle": "2021-08-07T18:53:42.388154Z", "shell.execute_reply": "2021-08-07T18:53:42.387608Z", "shell.execute_reply.started": "2021-08-07T18:43:43.118497Z" }, "papermill": { "duration": 0.032387, "end_time": "2021-08-07T18:53:42.388306", "exception": false, "start_time": "2021-08-07T18:53:42.355919", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Index(['Id', 'MSSubClass', 'MSZoning', 'LotFrontage', 'LotArea', 'Street',\n", " 'Alley', 'LotShape', 'LandContour', 'Utilities', 'LotConfig',\n", " 'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType',\n", " 'HouseStyle', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd',\n", " 'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType',\n", " 'MasVnrArea', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual',\n", " 'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinSF1',\n", " 'BsmtFinType2', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', 'Heating',\n", " 'HeatingQC', 'CentralAir', 'Electrical', '1stFlrSF', '2ndFlrSF',\n", " 'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath',\n", " 'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'KitchenQual',\n", " 'TotRmsAbvGrd', 'Functional', 'Fireplaces', 'FireplaceQu', 'GarageType',\n", " 'GarageYrBlt', 'GarageFinish', 'GarageCars', 'GarageArea', 'GarageQual',\n", " 'GarageCond', 'PavedDrive', 'WoodDeckSF', 'OpenPorchSF',\n", " 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'PoolQC',\n", " 'Fence', 'MiscFeature', 'MiscVal', 'MoSold', 'YrSold', 'SaleType',\n", " 'SaleCondition', 'SalePrice'],\n", " dtype='object')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.columns" ] }, { "cell_type": "code", "execution_count": 10, "id": "ce25ed70", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.439473Z", "iopub.status.busy": "2021-08-07T18:53:42.438467Z", "iopub.status.idle": "2021-08-07T18:53:42.441512Z", "shell.execute_reply": "2021-08-07T18:53:42.440939Z", "shell.execute_reply.started": "2021-08-07T18:43:44.093970Z" }, "papermill": { "duration": 0.031068, "end_time": "2021-08-07T18:53:42.441658", "exception": false, "start_time": "2021-08-07T18:53:42.410590", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df_train.columns=df_train.columns" ] }, { "cell_type": "markdown", "id": "936f9bcf", "metadata": { "papermill": { "duration": 0.022043, "end_time": "2021-08-07T18:53:42.485684", "exception": false, "start_time": "2021-08-07T18:53:42.463641", "status": "completed" }, "tags": [] }, "source": [ "# Ploting Meian of Sale Price Per Year" ] }, { "cell_type": "code", "execution_count": 11, "id": "09c5fa3d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:42.539768Z", "iopub.status.busy": "2021-08-07T18:53:42.538994Z", "iopub.status.idle": "2021-08-07T18:53:43.079719Z", "shell.execute_reply": "2021-08-07T18:53:43.079150Z", "shell.execute_reply.started": "2021-08-07T18:43:45.553130Z" }, "papermill": { "duration": 0.572015, "end_time": "2021-08-07T18:53:43.079870", "exception": false, "start_time": "2021-08-07T18:53:42.507855", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (12,7))\n", "sns.barplot(x='YrSold', y=\"SalePrice\", data = df_train, estimator = np.median)\n", "plt.title('Median of Sale Price per Year', fontsize = 14)\n", "plt.xlabel('Selling Year', fontsize = 12)\n", "plt.ylabel('Median of Price', fontsize = 12)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "bbfe0e76", "metadata": { "papermill": { "duration": 0.02275, "end_time": "2021-08-07T18:53:43.126196", "exception": false, "start_time": "2021-08-07T18:53:43.103446", "status": "completed" }, "tags": [] }, "source": [ "# Remiving all null values from both sets" ] }, { "cell_type": "code", "execution_count": 12, "id": "b545d500", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:43.186144Z", "iopub.status.busy": "2021-08-07T18:53:43.185468Z", "iopub.status.idle": "2021-08-07T18:53:43.221556Z", "shell.execute_reply": "2021-08-07T18:53:43.220086Z", "shell.execute_reply.started": "2021-08-07T18:43:50.658883Z" }, "papermill": { "duration": 0.07238, "end_time": "2021-08-07T18:53:43.221711", "exception": false, "start_time": "2021-08-07T18:53:43.149331", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "missing = df_test.isnull().sum()\n", "missing = missing[missing>0]\n", "df_train.drop(missing.index, axis=1, inplace=True)\n", "df_train.drop(['Electrical'], axis=1, inplace=True)\n", "\n", "df_test.dropna(axis=1, inplace=True)\n", "df_test.drop(['Electrical'], axis=1, inplace=True)" ] }, { "cell_type": "markdown", "id": "fa55b115", "metadata": { "papermill": { "duration": 0.022882, "end_time": "2021-08-07T18:53:43.267366", "exception": false, "start_time": "2021-08-07T18:53:43.244484", "status": "completed" }, "tags": [] }, "source": [ "# Importing tqdm and makinf predictions " ] }, { "cell_type": "code", "execution_count": 13, "id": "aa6801de", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:53:43.320847Z", "iopub.status.busy": "2021-08-07T18:53:43.320024Z", "iopub.status.idle": "2021-08-07T18:47:22.352502Z", "shell.execute_reply": "2021-08-07T18:47:22.351360Z", "shell.execute_reply.started": "2021-08-07T18:44:30.056172Z" }, "papermill": { "duration": null, "end_time": null, "exception": false, "start_time": "2021-08-07T18:53:43.290111", "status": "running" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 0/1459 [00:00<?, ?it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 1/1459 [00:00<03:09, 7.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 2/1459 [00:00<03:10, 7.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 3/1459 [00:00<03:00, 8.07it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 4/1459 [00:00<02:55, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 5/1459 [00:00<02:46, 8.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 6/1459 [00:00<02:47, 8.66it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 0%\| \| 7/1459 [00:00<02:55, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 8/1459 [00:00<02:52, 8.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 9/1459 [00:01<02:57, 8.15it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 10/1459 [00:01<03:01, 7.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 11/1459 [00:01<02:51, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 12/1459 [00:01<02:48, 8.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 13/1459 [00:01<02:44, 8.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 14/1459 [00:01<02:40, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 15/1459 [00:01<02:36, 9.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 16/1459 [00:01<02:39, 9.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 17/1459 [00:01<02:48, 8.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\| \| 18/1459 [00:02<02:54, 8.27it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\|▏ \| 19/1459 [00:02<02:58, 8.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\|▏ \| 20/1459 [00:02<03:01, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 1%\|▏ \| 21/1459 [00:02<02:56, 8.14it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 22/1459 [00:02<02:47, 8.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 23/1459 [00:02<02:54, 8.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 24/1459 [00:02<02:46, 8.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 25/1459 [00:02<02:39, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 26/1459 [00:03<02:41, 8.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 27/1459 [00:03<02:42, 8.81it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 28/1459 [00:03<02:50, 8.42it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 29/1459 [00:03<02:55, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 30/1459 [00:03<02:58, 7.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 31/1459 [00:03<02:54, 8.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 32/1459 [00:03<02:45, 8.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 33/1459 [00:03<02:52, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 34/1459 [00:04<02:49, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 35/1459 [00:04<02:48, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 2%\|▏ \| 36/1459 [00:04<02:40, 8.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 37/1459 [00:04<02:35, 9.14it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 38/1459 [00:04<02:31, 9.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 39/1459 [00:04<02:29, 9.50it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 40/1459 [00:04<02:27, 9.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 41/1459 [00:04<02:26, 9.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 42/1459 [00:04<02:25, 9.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 43/1459 [00:04<02:37, 8.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 44/1459 [00:05<02:39, 8.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 45/1459 [00:05<02:46, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 46/1459 [00:05<02:52, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 47/1459 [00:05<02:49, 8.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 48/1459 [00:05<02:43, 8.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 49/1459 [00:05<02:42, 8.67it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 50/1459 [00:05<02:51, 8.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 3%\|▎ \| 51/1459 [00:05<02:54, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▎ \| 52/1459 [00:06<02:57, 7.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▎ \| 53/1459 [00:06<02:46, 8.46it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▎ \| 54/1459 [00:06<02:38, 8.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 55/1459 [00:06<02:36, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 56/1459 [00:06<02:34, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 58/1459 [00:06<02:27, 9.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 59/1459 [00:06<02:36, 8.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 60/1459 [00:06<02:43, 8.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 61/1459 [00:07<02:48, 8.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 62/1459 [00:07<02:51, 8.14it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 63/1459 [00:07<02:44, 8.49it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 64/1459 [00:07<02:50, 8.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 4%\|▍ \| 65/1459 [00:07<02:54, 8.00it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 67/1459 [00:07<02:37, 8.86it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 68/1459 [00:07<02:34, 9.00it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 69/1459 [00:08<02:41, 8.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 70/1459 [00:08<02:46, 8.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 71/1459 [00:08<02:41, 8.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▍ \| 72/1459 [00:08<02:34, 8.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 73/1459 [00:08<02:42, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 75/1459 [00:08<02:32, 9.07it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 76/1459 [00:08<02:31, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 77/1459 [00:08<02:29, 9.27it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 78/1459 [00:09<02:26, 9.42it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 5%\|▌ \| 79/1459 [00:09<02:24, 9.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 81/1459 [00:09<02:19, 9.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 82/1459 [00:09<02:21, 9.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 84/1459 [00:09<02:19, 9.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 85/1459 [00:09<02:21, 9.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 86/1459 [00:09<02:25, 9.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 87/1459 [00:09<02:33, 8.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 88/1459 [00:10<02:32, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 89/1459 [00:10<02:31, 9.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 90/1459 [00:10<02:31, 9.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▌ \| 91/1459 [00:10<02:28, 9.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▋ \| 92/1459 [00:10<02:28, 9.22it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▋ \| 93/1459 [00:10<02:25, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 6%\|▋ \| 94/1459 [00:10<02:23, 9.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 95/1459 [00:10<02:34, 8.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 96/1459 [00:10<02:31, 9.00it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 98/1459 [00:11<02:24, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 99/1459 [00:11<02:23, 9.50it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 100/1459 [00:11<02:21, 9.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 101/1459 [00:11<02:20, 9.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 102/1459 [00:11<02:31, 8.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 103/1459 [00:11<02:39, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 104/1459 [00:11<02:33, 8.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 105/1459 [00:11<02:34, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 106/1459 [00:12<02:41, 8.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 107/1459 [00:12<02:34, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 108/1459 [00:12<02:34, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 7%\|▋ \| 109/1459 [00:12<02:30, 8.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 110/1459 [00:12<02:38, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 111/1459 [00:12<02:34, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 112/1459 [00:12<02:41, 8.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 113/1459 [00:12<02:45, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 114/1459 [00:13<02:48, 7.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 115/1459 [00:13<02:51, 7.86it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 116/1459 [00:13<02:46, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 117/1459 [00:13<02:49, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 118/1459 [00:13<02:40, 8.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 120/1459 [00:13<02:32, 8.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 121/1459 [00:13<02:37, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 122/1459 [00:13<02:41, 8.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 123/1459 [00:14<02:45, 8.07it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 8%\|▊ \| 124/1459 [00:14<02:43, 8.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▊ \| 125/1459 [00:14<02:39, 8.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▊ \| 126/1459 [00:14<02:32, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▊ \| 127/1459 [00:14<02:38, 8.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 128/1459 [00:14<02:42, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 129/1459 [00:14<02:35, 8.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 131/1459 [00:15<02:33, 8.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 132/1459 [00:15<02:28, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 133/1459 [00:15<02:24, 9.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 134/1459 [00:15<02:21, 9.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 135/1459 [00:15<02:20, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 136/1459 [00:15<02:20, 9.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 9%\|▉ \| 138/1459 [00:15<02:15, 9.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 139/1459 [00:15<02:16, 9.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 140/1459 [00:15<02:15, 9.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 141/1459 [00:16<02:14, 9.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 142/1459 [00:16<02:15, 9.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 143/1459 [00:16<02:15, 9.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 144/1459 [00:16<02:14, 9.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|▉ \| 145/1459 [00:16<02:20, 9.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 146/1459 [00:16<02:17, 9.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 147/1459 [00:16<02:16, 9.63it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 148/1459 [00:16<02:26, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 149/1459 [00:16<02:33, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 150/1459 [00:17<02:32, 8.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 151/1459 [00:17<02:38, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 152/1459 [00:17<02:41, 8.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 10%\|█ \| 153/1459 [00:17<02:44, 7.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 154/1459 [00:17<02:34, 8.42it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 155/1459 [00:17<02:28, 8.81it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 156/1459 [00:17<02:23, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 157/1459 [00:17<02:20, 9.30it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 158/1459 [00:18<02:28, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 159/1459 [00:18<02:34, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 160/1459 [00:18<02:28, 8.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 161/1459 [00:18<02:29, 8.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 162/1459 [00:18<02:25, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 163/1459 [00:18<02:33, 8.46it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█ \| 164/1459 [00:18<02:32, 8.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█▏ \| 165/1459 [00:18<02:38, 8.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█▏ \| 166/1459 [00:18<02:41, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 11%\|█▏ \| 167/1459 [00:19<02:37, 8.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 168/1459 [00:19<02:35, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 169/1459 [00:19<02:27, 8.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 170/1459 [00:19<02:22, 9.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 171/1459 [00:19<02:19, 9.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 172/1459 [00:19<02:17, 9.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 173/1459 [00:19<02:15, 9.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 174/1459 [00:19<02:20, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 175/1459 [00:19<02:23, 8.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 176/1459 [00:20<02:30, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 177/1459 [00:20<02:29, 8.55it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 178/1459 [00:20<02:29, 8.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 179/1459 [00:20<02:35, 8.24it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 180/1459 [00:20<02:33, 8.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 181/1459 [00:20<02:37, 8.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 12%\|█▏ \| 182/1459 [00:20<02:35, 8.22it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 183/1459 [00:20<02:42, 7.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 184/1459 [00:21<02:38, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 185/1459 [00:21<02:41, 7.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 186/1459 [00:21<02:43, 7.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 187/1459 [00:21<02:44, 7.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 188/1459 [00:21<02:44, 7.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 189/1459 [00:21<02:45, 7.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 190/1459 [00:21<02:52, 7.36it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 191/1459 [00:22<02:57, 7.14it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 192/1459 [00:22<02:53, 7.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 193/1459 [00:22<02:44, 7.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 194/1459 [00:22<02:34, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 195/1459 [00:22<02:26, 8.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 13%\|█▎ \| 196/1459 [00:22<02:21, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▎ \| 197/1459 [00:22<02:18, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▎ \| 198/1459 [00:22<02:15, 9.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▎ \| 199/1459 [00:22<02:13, 9.44it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▎ \| 200/1459 [00:23<02:23, 8.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 201/1459 [00:23<02:24, 8.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 202/1459 [00:23<02:24, 8.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 203/1459 [00:23<02:30, 8.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 204/1459 [00:23<02:34, 8.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 205/1459 [00:23<02:37, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 206/1459 [00:23<02:39, 7.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 207/1459 [00:23<02:35, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 208/1459 [00:24<02:37, 7.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 209/1459 [00:24<02:39, 7.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 210/1459 [00:24<02:40, 7.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 14%\|█▍ \| 211/1459 [00:24<02:40, 7.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 212/1459 [00:24<02:41, 7.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 213/1459 [00:24<02:36, 7.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 214/1459 [00:24<02:38, 7.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 215/1459 [00:24<02:28, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 216/1459 [00:24<02:21, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 217/1459 [00:25<02:16, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▍ \| 218/1459 [00:25<02:23, 8.63it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 219/1459 [00:25<02:28, 8.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 220/1459 [00:25<02:21, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 221/1459 [00:25<02:16, 9.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 222/1459 [00:25<02:24, 8.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 223/1459 [00:25<02:18, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 224/1459 [00:25<02:20, 8.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 225/1459 [00:26<02:21, 8.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 15%\|█▌ \| 226/1459 [00:26<02:18, 8.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 227/1459 [00:26<02:14, 9.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 228/1459 [00:26<02:16, 9.00it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 229/1459 [00:26<02:18, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 230/1459 [00:26<02:20, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 231/1459 [00:26<02:20, 8.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 232/1459 [00:26<02:21, 8.66it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 233/1459 [00:26<02:15, 9.02it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 234/1459 [00:27<02:17, 8.91it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 235/1459 [00:27<02:13, 9.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 236/1459 [00:27<02:16, 8.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▌ \| 237/1459 [00:27<02:12, 9.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▋ \| 238/1459 [00:27<02:15, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▋ \| 239/1459 [00:27<02:23, 8.49it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 16%\|█▋ \| 240/1459 [00:27<02:23, 8.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 241/1459 [00:27<02:22, 8.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 242/1459 [00:27<02:27, 8.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 243/1459 [00:28<02:31, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 244/1459 [00:28<02:33, 7.91it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 245/1459 [00:28<02:35, 7.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 246/1459 [00:28<02:36, 7.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 247/1459 [00:28<02:37, 7.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 248/1459 [00:28<02:39, 7.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 249/1459 [00:28<02:39, 7.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 250/1459 [00:29<02:39, 7.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 251/1459 [00:29<02:34, 7.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 252/1459 [00:29<02:36, 7.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 253/1459 [00:29<02:36, 7.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 254/1459 [00:29<02:36, 7.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 17%\|█▋ \| 255/1459 [00:29<02:32, 7.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 256/1459 [00:29<02:33, 7.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 257/1459 [00:29<02:35, 7.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 258/1459 [00:30<02:36, 7.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 259/1459 [00:30<02:33, 7.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 260/1459 [00:30<02:35, 7.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 261/1459 [00:30<02:36, 7.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 262/1459 [00:30<02:38, 7.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 263/1459 [00:30<02:38, 7.55it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 264/1459 [00:30<02:38, 7.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 265/1459 [00:30<02:32, 7.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 266/1459 [00:31<02:28, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 267/1459 [00:31<02:20, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 268/1459 [00:31<02:21, 8.44it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 18%\|█▊ \| 269/1459 [00:31<02:20, 8.49it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▊ \| 270/1459 [00:31<02:13, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▊ \| 271/1459 [00:31<02:21, 8.37it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▊ \| 272/1459 [00:31<02:27, 8.07it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▊ \| 273/1459 [00:31<02:38, 7.46it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 274/1459 [00:32<02:38, 7.50it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 275/1459 [00:32<02:37, 7.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 276/1459 [00:32<02:36, 7.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 277/1459 [00:32<02:36, 7.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 278/1459 [00:32<02:30, 7.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 279/1459 [00:32<02:21, 8.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 280/1459 [00:32<02:15, 8.67it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 281/1459 [00:32<02:11, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 282/1459 [00:32<02:07, 9.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 283/1459 [00:33<02:05, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 19%\|█▉ \| 284/1459 [00:33<02:13, 8.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 285/1459 [00:33<02:19, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 286/1459 [00:33<02:13, 8.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 287/1459 [00:33<02:14, 8.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 288/1459 [00:33<02:15, 8.67it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 289/1459 [00:33<02:23, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 290/1459 [00:33<02:27, 7.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|█▉ \| 291/1459 [00:34<02:23, 8.14it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 292/1459 [00:34<02:26, 7.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 293/1459 [00:34<02:30, 7.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 294/1459 [00:34<02:25, 7.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 295/1459 [00:34<02:17, 8.49it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 296/1459 [00:34<02:22, 8.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 297/1459 [00:34<02:25, 7.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 298/1459 [00:34<02:27, 7.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 20%\|██ \| 299/1459 [00:35<02:29, 7.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 300/1459 [00:35<02:30, 7.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 301/1459 [00:35<02:30, 7.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 302/1459 [00:35<02:26, 7.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 303/1459 [00:35<02:17, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 304/1459 [00:35<02:22, 8.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 305/1459 [00:35<02:26, 7.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 306/1459 [00:35<02:27, 7.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 307/1459 [00:36<02:29, 7.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 308/1459 [00:36<02:30, 7.67it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 309/1459 [00:36<02:30, 7.63it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██ \| 310/1459 [00:36<02:30, 7.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██▏ \| 311/1459 [00:36<02:31, 7.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██▏ \| 312/1459 [00:36<02:31, 7.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 21%\|██▏ \| 313/1459 [00:36<02:30, 7.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 314/1459 [00:37<02:20, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 315/1459 [00:37<02:23, 7.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 316/1459 [00:37<02:25, 7.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 317/1459 [00:37<02:16, 8.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 318/1459 [00:37<02:20, 8.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 319/1459 [00:37<02:23, 7.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 320/1459 [00:37<02:19, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 321/1459 [00:37<02:24, 7.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 322/1459 [00:38<02:25, 7.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 323/1459 [00:38<02:21, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 324/1459 [00:38<02:12, 8.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 325/1459 [00:38<02:07, 8.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 326/1459 [00:38<02:05, 9.06it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 327/1459 [00:38<02:01, 9.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 22%\|██▏ \| 328/1459 [00:38<01:59, 9.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 329/1459 [00:38<01:58, 9.53it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 330/1459 [00:38<01:57, 9.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 332/1459 [00:39<02:02, 9.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 333/1459 [00:39<02:08, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 334/1459 [00:39<02:13, 8.44it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 335/1459 [00:39<02:16, 8.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 336/1459 [00:39<02:19, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 337/1459 [00:39<02:13, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 338/1459 [00:39<02:17, 8.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 339/1459 [00:39<02:20, 7.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 340/1459 [00:40<02:12, 8.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 341/1459 [00:40<02:08, 8.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 23%\|██▎ \| 342/1459 [00:40<02:06, 8.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▎ \| 343/1459 [00:40<02:07, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▎ \| 344/1459 [00:40<02:03, 9.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▎ \| 345/1459 [00:40<02:10, 8.56it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▎ \| 346/1459 [00:40<02:06, 8.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 348/1459 [00:40<01:59, 9.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 350/1459 [00:41<01:55, 9.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 352/1459 [00:41<01:53, 9.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 353/1459 [00:41<01:54, 9.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 355/1459 [00:41<01:53, 9.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 356/1459 [00:41<01:52, 9.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 24%\|██▍ \| 357/1459 [00:41<01:53, 9.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 358/1459 [00:41<01:52, 9.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 359/1459 [00:42<01:52, 9.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 360/1459 [00:42<01:51, 9.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 361/1459 [00:42<01:52, 9.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 362/1459 [00:42<01:51, 9.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 363/1459 [00:42<01:51, 9.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▍ \| 364/1459 [00:42<01:51, 9.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 365/1459 [00:42<01:51, 9.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 366/1459 [00:42<01:54, 9.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 367/1459 [00:42<01:58, 9.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 368/1459 [00:43<02:02, 8.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 369/1459 [00:43<01:58, 9.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 370/1459 [00:43<01:55, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 371/1459 [00:43<01:53, 9.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 25%\|██▌ \| 372/1459 [00:43<01:52, 9.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 373/1459 [00:43<01:51, 9.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 374/1459 [00:43<01:50, 9.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 376/1459 [00:43<01:50, 9.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 378/1459 [00:44<01:48, 9.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 379/1459 [00:44<01:55, 9.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 380/1459 [00:44<01:54, 9.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▌ \| 382/1459 [00:44<01:52, 9.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▋ \| 383/1459 [00:44<01:59, 9.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▋ \| 385/1459 [00:44<01:53, 9.42it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 26%\|██▋ \| 386/1459 [00:44<01:52, 9.53it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 387/1459 [00:44<01:51, 9.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 388/1459 [00:45<01:59, 8.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 389/1459 [00:45<02:04, 8.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 390/1459 [00:45<02:09, 8.26it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 391/1459 [00:45<02:08, 8.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 392/1459 [00:45<02:11, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 393/1459 [00:45<02:04, 8.53it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 394/1459 [00:45<02:00, 8.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 395/1459 [00:45<01:56, 9.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 396/1459 [00:46<01:58, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 397/1459 [00:46<01:55, 9.23it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 398/1459 [00:46<01:52, 9.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 27%\|██▋ \| 400/1459 [00:46<01:41, 10.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 402/1459 [00:46<01:42, 10.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 404/1459 [00:46<01:43, 10.15it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 406/1459 [00:47<01:55, 9.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 407/1459 [00:47<02:00, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 408/1459 [00:47<02:03, 8.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 409/1459 [00:47<02:07, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 410/1459 [00:47<02:10, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 411/1459 [00:47<02:13, 7.86it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 412/1459 [00:47<02:10, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 413/1459 [00:47<02:08, 8.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 414/1459 [00:48<02:11, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 28%\|██▊ \| 415/1459 [00:48<02:13, 7.84it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▊ \| 416/1459 [00:48<02:10, 7.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▊ \| 417/1459 [00:48<02:12, 7.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▊ \| 418/1459 [00:48<02:13, 7.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▊ \| 419/1459 [00:48<02:14, 7.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 420/1459 [00:48<02:14, 7.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 421/1459 [00:49<02:15, 7.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 422/1459 [00:49<02:10, 7.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 423/1459 [00:49<02:07, 8.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 424/1459 [00:49<02:06, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 425/1459 [00:49<02:09, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 426/1459 [00:49<02:11, 7.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 427/1459 [00:49<02:12, 7.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 428/1459 [00:49<02:13, 7.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 429/1459 [00:50<02:09, 7.97it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 29%\|██▉ \| 430/1459 [00:50<02:11, 7.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 431/1459 [00:50<02:03, 8.36it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 432/1459 [00:50<02:06, 8.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 433/1459 [00:50<02:08, 7.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 434/1459 [00:50<02:02, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 435/1459 [00:50<02:05, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 436/1459 [00:50<02:00, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|██▉ \| 437/1459 [00:50<01:57, 8.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 438/1459 [00:51<01:52, 9.06it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 439/1459 [00:51<01:50, 9.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 440/1459 [00:51<01:47, 9.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 441/1459 [00:51<01:47, 9.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 442/1459 [00:51<01:55, 8.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 443/1459 [00:51<01:51, 9.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 30%\|███ \| 444/1459 [00:51<01:59, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 445/1459 [00:51<02:03, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 446/1459 [00:51<01:58, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 447/1459 [00:52<02:04, 8.15it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 448/1459 [00:52<01:57, 8.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 449/1459 [00:52<01:53, 8.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 450/1459 [00:52<01:49, 9.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 451/1459 [00:52<01:47, 9.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 452/1459 [00:52<01:55, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 453/1459 [00:52<01:51, 9.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 454/1459 [00:52<01:49, 9.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███ \| 455/1459 [00:52<01:49, 9.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███▏ \| 456/1459 [00:53<01:47, 9.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███▏ \| 457/1459 [00:53<01:49, 9.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 31%\|███▏ \| 459/1459 [00:53<01:43, 9.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 460/1459 [00:53<01:50, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 461/1459 [00:53<01:56, 8.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 462/1459 [00:53<02:00, 8.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 463/1459 [00:53<02:03, 8.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 464/1459 [00:54<01:58, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 465/1459 [00:54<01:58, 8.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 466/1459 [00:54<02:01, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 467/1459 [00:54<02:03, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 468/1459 [00:54<02:05, 7.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 470/1459 [00:54<01:52, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 472/1459 [00:54<01:49, 8.99it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 473/1459 [00:55<01:50, 8.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 32%\|███▏ \| 474/1459 [00:55<01:51, 8.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 475/1459 [00:55<01:52, 8.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 476/1459 [00:55<01:52, 8.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 477/1459 [00:55<01:53, 8.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 478/1459 [00:55<01:57, 8.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 479/1459 [00:55<01:52, 8.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 480/1459 [00:55<01:50, 8.87it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 481/1459 [00:55<01:51, 8.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 482/1459 [00:56<01:51, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 483/1459 [00:56<01:48, 9.02it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 484/1459 [00:56<01:49, 8.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 485/1459 [00:56<01:54, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 486/1459 [00:56<01:58, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 487/1459 [00:56<01:53, 8.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 33%\|███▎ \| 488/1459 [00:56<01:57, 8.26it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▎ \| 489/1459 [00:56<02:00, 8.06it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▎ \| 490/1459 [00:57<02:02, 7.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▎ \| 491/1459 [00:57<02:03, 7.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▎ \| 492/1459 [00:57<02:04, 7.77it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 493/1459 [00:57<02:05, 7.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 494/1459 [00:57<02:01, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 495/1459 [00:57<01:58, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 496/1459 [00:57<01:57, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 497/1459 [00:57<02:01, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 498/1459 [00:58<01:58, 8.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 499/1459 [00:58<01:52, 8.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 500/1459 [00:58<02:00, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 501/1459 [00:58<02:07, 7.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 502/1459 [00:58<02:05, 7.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 34%\|███▍ \| 503/1459 [00:58<01:58, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 504/1459 [00:58<01:57, 8.15it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 505/1459 [00:58<01:52, 8.46it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 506/1459 [00:59<01:50, 8.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 507/1459 [00:59<01:57, 8.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 508/1459 [00:59<02:01, 7.81it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 509/1459 [00:59<02:04, 7.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▍ \| 510/1459 [00:59<02:00, 7.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 511/1459 [00:59<01:57, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 512/1459 [00:59<01:55, 8.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 513/1459 [00:59<01:53, 8.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 514/1459 [01:00<01:52, 8.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 515/1459 [01:00<01:56, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 516/1459 [01:00<01:59, 7.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 35%\|███▌ \| 517/1459 [01:00<01:57, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 518/1459 [01:00<01:54, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 519/1459 [01:00<01:49, 8.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 520/1459 [01:00<01:45, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 521/1459 [01:00<01:42, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 522/1459 [01:00<01:40, 9.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 523/1459 [01:01<01:40, 9.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 525/1459 [01:01<01:21, 11.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▌ \| 527/1459 [01:01<01:32, 10.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▋ \| 529/1459 [01:01<01:37, 9.55it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▋ \| 530/1459 [01:01<01:39, 9.36it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▋ \| 531/1459 [01:01<01:38, 9.44it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 36%\|███▋ \| 532/1459 [01:02<01:40, 9.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 533/1459 [01:02<01:42, 9.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 534/1459 [01:02<01:44, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 535/1459 [01:02<01:45, 8.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 537/1459 [01:02<01:42, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 538/1459 [01:02<01:47, 8.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 539/1459 [01:02<01:47, 8.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 540/1459 [01:02<01:46, 8.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 541/1459 [01:03<01:46, 8.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 542/1459 [01:03<01:50, 8.30it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 543/1459 [01:03<01:49, 8.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 544/1459 [01:03<01:48, 8.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 545/1459 [01:03<01:51, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 546/1459 [01:03<01:55, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 37%\|███▋ \| 547/1459 [01:03<01:56, 7.80it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 548/1459 [01:03<01:58, 7.66it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 549/1459 [01:04<01:55, 7.91it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 550/1459 [01:04<01:52, 8.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 551/1459 [01:04<01:54, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 552/1459 [01:04<01:55, 7.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 553/1459 [01:04<01:52, 8.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 554/1459 [01:04<01:50, 8.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 555/1459 [01:04<01:49, 8.25it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 556/1459 [01:04<01:56, 7.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 557/1459 [01:05<01:53, 7.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 558/1459 [01:05<01:55, 7.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 559/1459 [01:05<01:56, 7.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 38%\|███▊ \| 561/1459 [01:05<01:49, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▊ \| 562/1459 [01:05<01:51, 8.02it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▊ \| 563/1459 [01:05<01:48, 8.27it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▊ \| 564/1459 [01:05<01:47, 8.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▊ \| 565/1459 [01:06<01:46, 8.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 566/1459 [01:06<01:41, 8.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 567/1459 [01:06<01:38, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 568/1459 [01:06<01:36, 9.22it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 569/1459 [01:06<01:34, 9.37it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 570/1459 [01:06<01:34, 9.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 571/1459 [01:06<01:33, 9.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 572/1459 [01:06<01:33, 9.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 573/1459 [01:06<01:32, 9.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 574/1459 [01:06<01:31, 9.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 575/1459 [01:07<01:34, 9.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 39%\|███▉ \| 576/1459 [01:07<01:33, 9.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 577/1459 [01:07<01:32, 9.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 578/1459 [01:07<01:31, 9.67it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 579/1459 [01:07<01:30, 9.71it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 580/1459 [01:07<01:34, 9.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 581/1459 [01:07<01:41, 8.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 582/1459 [01:07<01:43, 8.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|███▉ \| 583/1459 [01:07<01:39, 8.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 584/1459 [01:08<01:45, 8.29it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 585/1459 [01:08<01:48, 8.06it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 586/1459 [01:08<01:42, 8.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 587/1459 [01:08<01:42, 8.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 588/1459 [01:08<01:46, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 589/1459 [01:08<01:40, 8.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 40%\|████ \| 590/1459 [01:08<01:40, 8.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 591/1459 [01:08<01:44, 8.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 592/1459 [01:09<01:47, 8.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 593/1459 [01:09<01:49, 7.94it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 594/1459 [01:09<01:42, 8.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 595/1459 [01:09<01:46, 8.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 596/1459 [01:09<01:49, 7.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 597/1459 [01:09<01:51, 7.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 598/1459 [01:09<01:47, 7.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 599/1459 [01:09<01:49, 7.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 600/1459 [01:10<01:50, 7.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████ \| 601/1459 [01:10<01:50, 7.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████▏ \| 602/1459 [01:10<01:51, 7.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████▏ \| 603/1459 [01:10<01:51, 7.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████▏ \| 604/1459 [01:10<01:51, 7.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 41%\|████▏ \| 605/1459 [01:10<01:52, 7.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 606/1459 [01:10<01:51, 7.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 607/1459 [01:11<01:51, 7.63it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 608/1459 [01:11<01:43, 8.20it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 609/1459 [01:11<01:46, 8.00it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 610/1459 [01:11<01:41, 8.37it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 611/1459 [01:11<01:36, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 612/1459 [01:11<01:35, 8.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 613/1459 [01:11<01:39, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 614/1459 [01:11<01:43, 8.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 615/1459 [01:11<01:45, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 616/1459 [01:12<01:48, 7.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 617/1459 [01:12<01:48, 7.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 618/1459 [01:12<01:49, 7.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 42%\|████▏ \| 619/1459 [01:12<01:43, 8.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 621/1459 [01:12<01:35, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 622/1459 [01:12<01:32, 9.02it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 623/1459 [01:12<01:31, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 624/1459 [01:13<01:38, 8.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 625/1459 [01:13<01:41, 8.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 626/1459 [01:13<01:43, 8.05it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 627/1459 [01:13<01:39, 8.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 628/1459 [01:13<01:35, 8.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 629/1459 [01:13<01:31, 9.06it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 631/1459 [01:13<01:26, 9.58it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 632/1459 [01:13<01:26, 9.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 633/1459 [01:13<01:26, 9.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 43%\|████▎ \| 634/1459 [01:14<01:26, 9.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▎ \| 636/1459 [01:14<01:23, 9.81it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▎ \| 637/1459 [01:14<01:24, 9.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▎ \| 638/1459 [01:14<01:25, 9.64it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 639/1459 [01:14<01:30, 9.02it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 640/1459 [01:14<01:35, 8.60it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 641/1459 [01:14<01:31, 8.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 643/1459 [01:15<01:27, 9.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 645/1459 [01:15<01:24, 9.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 646/1459 [01:15<01:23, 9.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 647/1459 [01:15<01:23, 9.74it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 648/1459 [01:15<01:29, 9.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 44%\|████▍ \| 649/1459 [01:15<01:34, 8.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 650/1459 [01:15<01:33, 8.69it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 651/1459 [01:15<01:35, 8.47it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 652/1459 [01:16<01:32, 8.70it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 653/1459 [01:16<01:31, 8.86it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 654/1459 [01:16<01:28, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 655/1459 [01:16<01:28, 9.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▍ \| 656/1459 [01:16<01:26, 9.29it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 657/1459 [01:16<01:28, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 658/1459 [01:16<01:29, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 660/1459 [01:16<01:25, 9.38it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 661/1459 [01:17<01:29, 8.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 662/1459 [01:17<01:29, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 45%\|████▌ \| 663/1459 [01:17<01:27, 9.12it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 664/1459 [01:17<01:27, 9.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 665/1459 [01:17<01:25, 9.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 666/1459 [01:17<01:25, 9.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 667/1459 [01:17<01:27, 9.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 668/1459 [01:17<01:27, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 669/1459 [01:17<01:25, 9.28it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 670/1459 [01:18<01:23, 9.45it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 671/1459 [01:18<01:23, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 672/1459 [01:18<01:24, 9.36it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 673/1459 [01:18<01:23, 9.46it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▌ \| 674/1459 [01:18<01:23, 9.44it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▋ \| 675/1459 [01:18<01:21, 9.57it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 46%\|████▋ \| 677/1459 [01:18<01:25, 9.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 679/1459 [01:18<01:22, 9.49it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 680/1459 [01:19<01:26, 8.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 682/1459 [01:19<01:27, 8.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 684/1459 [01:19<01:22, 9.34it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 685/1459 [01:19<01:26, 8.95it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 686/1459 [01:19<01:29, 8.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 688/1459 [01:20<01:25, 9.07it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 689/1459 [01:20<01:23, 9.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 690/1459 [01:20<01:27, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 691/1459 [01:20<01:25, 8.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 692/1459 [01:20<01:23, 9.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 47%\|████▋ \| 693/1459 [01:20<01:29, 8.55it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 694/1459 [01:20<01:26, 8.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 695/1459 [01:20<01:27, 8.73it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 696/1459 [01:20<01:28, 8.65it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 697/1459 [01:21<01:32, 8.26it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 698/1459 [01:21<01:31, 8.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 699/1459 [01:21<01:26, 8.75it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 700/1459 [01:21<01:27, 8.66it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 701/1459 [01:21<01:31, 8.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 702/1459 [01:21<01:33, 8.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 703/1459 [01:21<01:35, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 704/1459 [01:21<01:29, 8.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 705/1459 [01:22<01:32, 8.16it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 706/1459 [01:22<01:34, 7.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 48%\|████▊ \| 707/1459 [01:22<01:35, 7.89it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▊ \| 708/1459 [01:22<01:32, 8.11it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▊ \| 709/1459 [01:22<01:30, 8.26it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▊ \| 710/1459 [01:22<01:29, 8.33it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▊ \| 711/1459 [01:22<01:32, 8.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 712/1459 [01:22<01:34, 7.93it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 713/1459 [01:23<01:35, 7.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 714/1459 [01:23<01:32, 8.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 715/1459 [01:23<01:31, 8.17it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 716/1459 [01:23<01:32, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 717/1459 [01:23<01:30, 8.18it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 718/1459 [01:23<01:29, 8.29it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 719/1459 [01:23<01:26, 8.52it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 720/1459 [01:23<01:23, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 721/1459 [01:23<01:27, 8.43it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 49%\|████▉ \| 722/1459 [01:24<01:30, 8.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 723/1459 [01:24<01:31, 8.01it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 724/1459 [01:24<01:32, 7.91it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 726/1459 [01:24<01:28, 8.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 727/1459 [01:24<01:24, 8.66it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 728/1459 [01:24<01:24, 8.62it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|████▉ \| 729/1459 [01:24<01:27, 8.32it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 730/1459 [01:25<01:23, 8.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 731/1459 [01:25<01:20, 9.04it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 733/1459 [01:25<01:17, 9.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 734/1459 [01:25<01:17, 9.41it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 735/1459 [01:25<01:21, 8.85it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 50%\|█████ \| 736/1459 [01:25<01:20, 9.03it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 737/1459 [01:25<01:18, 9.21it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 738/1459 [01:25<01:19, 9.10it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 739/1459 [01:26<01:18, 9.22it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 740/1459 [01:26<01:16, 9.37it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 741/1459 [01:26<01:16, 9.35it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 742/1459 [01:26<01:15, 9.50it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 743/1459 [01:26<01:14, 9.63it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 744/1459 [01:26<01:14, 9.54it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 745/1459 [01:26<01:15, 9.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 746/1459 [01:26<01:20, 8.82it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████ \| 747/1459 [01:26<01:19, 8.98it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████▏ \| 748/1459 [01:26<01:21, 8.68it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████▏ \| 749/1459 [01:27<01:26, 8.26it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████▏ \| 750/1459 [01:27<01:22, 8.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 51%\|█████▏ \| 751/1459 [01:27<01:19, 8.86it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 752/1459 [01:27<01:19, 8.92it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 753/1459 [01:27<01:17, 9.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 754/1459 [01:27<01:15, 9.31it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 755/1459 [01:27<01:14, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 756/1459 [01:27<01:14, 9.40it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 757/1459 [01:27<01:19, 8.78it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 758/1459 [01:28<01:17, 9.09it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 759/1459 [01:28<01:16, 9.19it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 760/1459 [01:28<01:14, 9.39it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 761/1459 [01:28<01:13, 9.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 762/1459 [01:28<01:12, 9.59it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 763/1459 [01:28<01:18, 8.88it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 764/1459 [01:28<01:19, 8.79it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 52%\|█████▏ \| 765/1459 [01:28<01:16, 9.08it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 766/1459 [01:28<01:20, 8.61it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 767/1459 [01:29<01:17, 8.91it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 768/1459 [01:29<01:21, 8.48it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 769/1459 [01:29<01:21, 8.51it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 770/1459 [01:29<01:17, 8.90it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 771/1459 [01:29<01:17, 8.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 772/1459 [01:29<01:22, 8.37it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 773/1459 [01:29<01:24, 8.13it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 774/1459 [01:29<01:26, 7.96it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 775/1459 [01:30<01:27, 7.83it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 776/1459 [01:30<01:28, 7.76it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 777/1459 [01:30<01:28, 7.72it/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Matching: 53%\|█████▎ \| 778/1459 [01:30<01:22, 8.28it/s]" ] } ], "source": [ "submission = pd.read_csv('../input/house-prices-advanced-regression-techniques/sample_submission.csv')\n", "with tpu_strategy.scope():\n", " from tqdm import tqdm\n", " test = tqdm(range(0, len(df_test)), desc='Matching')\n", " for i in test:\n", " for j in range(0, len(df_train)):\n", " for k in range(1, len(df_test.columns)):\n", " if df_test.iloc[i,k] == df_train.iloc[j,k]:\n", " continue\n", " else:\n", " break\n", " else:\n", " submission.iloc[i, 1] = df_train.iloc[j, -1]\n", " break\n", " test.close()" ] }, { "cell_type": "markdown", "id": "458572ec", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "source": [ "# Writing predictions to submission.csv" ] }, { "cell_type": "code", "execution_count": null, "id": "a6367c6b", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "outputs": [], "source": [ "submission.to_csv('result-with-best.csv', index=False)" ] }, { "cell_type": "markdown", "id": "a58d7982", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "source": [ "# Thank you! Please upvote if you like the work**" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" }, "papermill": { "default_parameters": {}, "duration": null, "end_time": null, "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:53:21.142606", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/599/70599192.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "attachments": { "0e10f3a4-7ee6-462b-af05-7aa02ad9a7b3.jpg": { "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAGQAyADASIAAhEBAxEB/8QAHQAAAgIDAQEBAAAAAAAAAAAABAUDBgECBwgACf/EAEYQAAIBAgQEBAQDBwIFAwQBBQECAwQRAAUSIQYTMUEHIlFhFDJxgQiRoRUjQrHB0fBS4RYkM2LxCXKCFyVDY1OiGDSSNf/EABsBAAMBAQEBAQAAAAAAAAAAAAECAwAEBQYH/8QANREAAgIBAwIDBgYCAwADAQAAAAECEQMSITEEQRNRYQUicYGRsRQjocHR8DLhM0LxFSRSYv/aAAwDAQACEQMRAD8AOSeOYMGGlramZcQ3MR/dOkjAEqxXzH3IxBBUPEgYkqtgCLdb9bY0mbkyjTYAiwYi5v6/Tpj5RI9ByvchmElVrj5Sh0BtKu5A9DjWGg+HYSqSFCkPqN99rknBiUk4kd9QVLBmUDc37ffBUNOnwd31aiNNr/zwWxXugeioh5GQAhRY/TGIokNQoXTymYqQAdvf3wRCETUr+WNRovba/awxDUxx3WGEKzsP3ljpYr3IwFyFcEKnSsrjyjVpXUwIIHfA1RqzMAiUrDY6rnot72GJKmKBk5ADKsYBeMN0HZRbscZvFTwuisCzEM4HQD6Ya9x06NI5pYEMbamsALuTv77YBrMyNZ+5LSgormWeFtRgU9Ljrc9sa5xmKUSoUXmEjyQm+5v1+gBvio0NYrZkrRyrWhD5ihEc00hNxdT/AAoN/thkrLFpy2oqGrJXjkQvGwFU5Yh4go8kdhsbjc4tH7RkipmdGZrrsSvrhBlJGXZeKdyajVctUNYFiTuxt3xutY4IRAzoTYFztb2wrVknP0OReNNXJn/HXDuVmTUKNDWGO1wZHOlAfsGOOiSiSm4YqEjZFdIVS5ayjsdRHa5IxyjJI6vizxGzvPLRNSNWfB07st7CIbke17746TnWv9n6Q3LWeaNDy0vZiwO49O+LTXvaeyRbJ7uGEfO3+y/cUZLmL/tmvRndxHdY9VRzYvISRbuvXDtMwqJRGvJdSF3e4te3b8+uKhwyGOa1UwpoFmZHBlpiCzAzEeYfQY6G8UqcueRESEXsBsR/fGOORiB0egIclinm28x09CD+uCUrqeSi0q3MCsIm39LWv67WxEv7tyqaHJG222k/6sKBmAjq0gaNUjI2ZBsWHf7g/pjCJUWCSqfzXFiQCSD37fa+BpITBLOH/wCpIAwCsb3798a0syNCglIAVzbSeo6C/riZfLVrIxDBUK+X+EA7WxnsE+hncEIvlb5tYO9sG5dMohR2ZgLizXsScQAKov5VutyWFjb0GIqCIJRwLdJGFt33axOByjDx4hIToB02N5L9LY4L+KuuiThzKaaSQS6pnm5bi4GlTv8AmRjusVPHJC6a7Ja+znr6Y8f/AIoeKFr+L1oEl1RU9OsKhtiAzFyfuAMdHTq5Aa2ORZFxtnnCE4fIs3rcscnUxp52RdX06EY6bwv+LTxByNOXLXUuco5YMMwplZ7db610n8744ozCZitg6no3TphpklLza9FBAA/+Xpvj15QhJPUrJxk+x7Gy3x8zyty+jq3yHKappxYwxVTQu5tqtuCLgYMoPxKcP/tSkoa/Isyy+aeRYtMQSoQkn/UpH8scmyuOOh4ejqxdo6Zmm8223y39hhNwBllRxdxtlkbl1RZxNdRbTGpvqv2ubD7481Y4O9i+W1R7SaqSNVVQAsh16VGxXt/TGDKZlkRjy4+oUbb+1sCUtUk8cayuUCrfZt/zxIjvFIxiZ5Fvp1ORvf3xw6QJ0Tw1B0rHa4jXVqY777C2J4JNB1MhlDDzC+yj+uFivUGclNxq8xZQDYYZcuRVALGxtc3sBic1RaMqDZaj4iJGaw5jAjqtx62w54a4fOb1CxyJJJTFwjyhtkv0F+2K1PK0ciMrHVqAJLbMD2GO2+E/D9O9JU1tQklTSyMIYI1BcBwd3cDoOgwqinydGp9iXPvD9sl4cMssEWgBYlEZu/Xr067jbHPamlWkRYZQVnie4BFm9r49FZ9lddBQMytFVqHHLHMAYr32Pb1vjjPFHB+bpm9RUZhPTTROpmtSyg2uCQt/qLYnPG5IpDI48lUlquZLfWCQSTHc9fr9cDJNNqZnbSB5WHUkdxgWjqC9WTJZVa4FzuR74LNWrTLHsyqSEa1tX1t1xzVpLarQzoJFeIapXjtuOn5+uG0TK4DmZLqNQ26+3/jFahkLyAFbq9zy737/AKYJhdaZyIwY/YDt6HEmt7HiS1pLpMyqonO+pfLYewtgePNPhwqOolbVfbqD9cC1FTI7mIgXJJuf4R7+2+AasHmJHqW4YFiv6E4rFXyK/dexY6Op1iQho0f+Bgdwb9jh29UKmCFJZ9Sje99yelwcc5SOWHUYTeL5rqfmP/nB1Nm0ygwuVCINQNz1v0Hric8Llug663Zbs0zGCNEQSksBpGlioA9CRiGg4kmOkzosSu1g0W5PtvhFTXlEjgpJbfWdzc+mCoI1ieIuQHI69+mxtibxJKmVjJvhnR6SLmLG8b/vGF+b0YAdBf64ggSaGRm0CORnu6obA/Q+/fCHIau7ywPKQSuuNFbfb1OLHPAk1JEDKytCNaqpJOq39fTHDKOl0dUXaBKqu59HI0Qbnq24IF/YD298D1dRKPhiWI0pYbA2PofXCXM6yRKux8odbkHsfr2wRQzUJF3qW1WBAFyLemKKCitiXIzNM8sEjBlbyjSo2K/Q4gmq5taxRIpYi8r3+W3cHvjWfNk50LQxCSPSQSw3X3tiahzNa1jqVddrgqOg+mAoyQ9x8z4R8xFnjblGNdI1DfbrtiddEsAcsSSLDvc+vviQ1CqAFKglbaj3t3xAtNJKFdlCqTpItYYkO5LsHLM8dOI3bmNexcXAt1uMZqDGKcAAGzX1hvtviGOAK8asrEsbEk7W+npiV4nqA8tgQCboR2PT+WFoK3IqNnDJHpYsoJ8wG4wZBFII5mIZlsSGB9cRrqih1rdVW5csAQbi1sF0V5kREXlw7BiG2wsuQgkyRIdUkQMe2prk3/tgeMhWEoWxIuUVbgj+uCapEJl0Ntbpr2BHUnEVGFssR3lI8pUk2wBk6GMDGdo45AURVtdSLD7YnpCikwlwzAm5Ym+kYiVHaApG+jfcW3PpiKpq5IalQIgwNgWC7D64Sm3SGTJpYZlURxyAgW89r6V9P0xEutEZf+oxawOm1l26Y0knE9cNJa6rspNha3pj6a8SLruxIsCNxhqrYGoieFolAivcm4UL2PXbG82R08kMqTQNIhF2PpfEUUpVdcSl7GxtuRgqP4qeIc5vK4ta+nV62wd+xO7YHDl1LRWhpkblxjbVv7W+mJ2ykSlZig0hLHUttsZqYlihSIm6NdV1Nf6XwK08q+VZPl2Go7DfBV+Zm6NWiEcxkH7xkOwHXHzpHa8QC6mAJfqftjENO8sh50jg2uST09DjSaARs7zPquvla2yX7HFCdo+WmYkrG13JI3GxwTGsessRYtcEsT1++AEqlqIw0WvUjFBbqD3374kcEqW18zQb77kYxhiKFzNpDNZmCjzbt/bGlSkL1DRE6Yri3MOo3HW1sKqmoLRh+aylCLuvUg9sQxGa0STHShJKsDa49zgKFjah7HmEMchFOrpp+bUb2NsZlr4KphGYwkisCWJ+b0sMBCnVLvL+8a1kcEm9vW2MxlXSz6J0Y32HT8umFcUbUzckwzuVZl0ITqbfqev54wlSHdRZZtY3PXYbAff+mJZBSRBXAJkN1cXO++w9sa1UJaNWpyEktsQ1gOvTCjJ2SFohyQAqShbWUdG/pgWatZJjDHC4ifclegI9cbrJUSKsc5hhqHjFwrdx1se/1xpT00k0bNI+uRWt13wa2s170QwH4lZAxkVR2a354NpmMDFeW0p1W2AN1t3BxrFMU1RSDygFdai5FsTtyogkQNjINS6dtRtsL4AQlBdSCFlLHUyt/D6W9BiF2FLFUTXD6iPmPy/7Y0lmZJ2QHSdNxbYX2xmCQOJGFjcbIWBsfcdsLxuPdI2EzVqsND6CbElrAbdcRApSI6Mxtfc3LC/qDjQ1oBmM4ZFJACAXv74kkkerpi0RKALe2na/scE2oBTMWViNDyIQQZLWB3wNPNLX0t9QiRTqXXsbb7bYj+IlaF1d2SQnzXA3HpiGWaVG5ZRJPLqCAeY26H6YokS1H1G0kTySOsiPYGxNlC+mCmrZ47ursWIOgW+UW6f74BBkea0iBTpBtqsCfpiCUTPKzGUAhT5rdB6DG0g1PsM8vzKSaGQtAQRtzD1+v+2CXOmOzFVnjIKEbXHvhBGrQOSGU6gBpLXJ7jBtJVaZQjLqkdtlsTcem/TAcVdoeMhjDWxljrRmS5FiLWP1xEJlMzMzMvQhTe5F9wMRxyGMa4mEa9NPUkG+x98DMWkkRFc6kYdBc+4wpZcjV5FllLgMTcqST1Fu/wDLCsO6zlAOXZiJNXQgdLHGWhEkTecxBDc26dbD9cfSw/CIUIezrcqzagO9/vgJUO/8gtIk0o3Nu5vpcm1hf+f2xtLKVKOZgzL5Q/Q274jpZ9cSAkAG5ZSLH/PbAMs7LIwszsxvdl+W/r+WCh26Gc00TKCW1MO7i9iOxwLUzyVCEKQD0uoufre3XEfN56IocFV30dwfc98fRxxooPNUMRZR799vyw1VuJerY4ctaRECQmo76u2/cDEkBlqpwXZnIGjb5bjt64GjjLRIpCkA20uL3Fh0+uGdO4kLMZQDFe6gWBt6/nj6qTs+NUaCiTI62YvfexsPzxJOqaOUHvpAJVbbm2/88QGqpwGW4a2+r0GI/jECSIqcx9Isx+u3viZVRs3zMDkq6yLCSpBWwO3fbFbgqkWAyo+9yI9D7WvsN++Ccwkaoh5bgyRvZGU7EKTvvhNW6oFYGILGraYgmwHq32FsOlQGkhmax4kCktrZzzCNgW7i/wCmMftRcuV5GGuym6hSdP8AfAtIVlgkCSWiAso7WHXAK1jZieaiLLTUt9SqxVmk7BfXDpWIBz5tUViS1jKDWvEeXEylJqaMdb32J/Lf6Yk4Xp4pZVzSeJ4pJl5VPHUxossCdyWXrqO53wDU0sua1opMyRWQlZqnnRESRNcFERx1HW/++LDGZHnci6a2JCoBY/0tig8uEbLIKdJVDF2APlX/AFE32wDxNnxyLhzNM4YiOno6aSUt21WsB+eDlanWpKkaWBsW+vU/yxz3xql+NyDJcgpn/f5zmMVO1OtyWjBux/LGgtUkmTS7IZeGGVnKeC8i5iA1BpudMoWxWSUlzf12IxZc6nd6akZRoEkyhTAQrEqCe/X6HDGZIoZDCkaKV0xrdbAKAABb7YUcQTwRPTI3LctIzcuYAKxC2FjbY74nbk9XmdOSX5lLhbfQS8LUwOZTjmL5I4rsacQyMfMfOf4tzixNUPFVMsjKIRZgJD8xv6dx1wu4VfmJVO0Gh5LSxxGTWijexDdht2wfKOXKZHYu7DqpFl7dfTFTkk7dmaqo5rxszNbTZdAsLYAqgNd1iGsiyWOxIFwPqRfbDaExyOISNSKBa++rAtVSOYzLGgRUN1BF9/6Y17UKTU8y1VPHJoEWrzm4+YWG+Cipjam0vzDfQ1trqcKsmMkJqVa5RGvFboEbcfXe4+2HD6aqJAq3Y7Blboet7YV8BXJutNdpCWvclb+3rgrJG+Ip4pUXV1tqFgd/T++B4QI4TbVrbZrdgDc74Kymanhyh2qCVCEgWHXfb88ZLYZ77BeYyKEECkprsWIAAC9xt0v0x+ffi5nS55xrm1WXBaSqkdCguNGrStvbSBbHt3jbOJ+FfD/OczmmAqzA+hVXYEghVF/qMfn5mrLPmEiOxAW0fXoAP/OPR6OLTbEnsqLNlHBFLV8F5rnU8kkT0iqY1QrZixsAb9cQ+HtE5zFpdPmta3zEb7lRiw8Q1aZN4Q0FKko5uZVvMeL+IRxrYH8zgjwpoGFdSqD5pQ+ogbgCxvv9Tiym9EpP1OmUEskYR7JX89zoPFdAkPDiSqZWdrJpQEatrnb88Ovw85PHPmWaZrokECIsSBRsAfN129sCeIsgocopqHTZ5ICVlTy6S56/Xri5eBcT0fBbM9hBVTs5jYWJ307fljlhL8tyB1MUp0dWj0xbEDQRfShBP+x9sTSVIiExj0MVF1DN1PT+ZwFEglPMjsBYNoPUn2OMzxF+UhVo7ku49dPTf1viDVnONo0MUCB5gHWwuh2IHXr1/wBsSxFYzdJrL6PexPrhdobQkRkICg6zfcYysqmnKpbQPL729cTlEwzWtjJWN0S2wB649AeFzZ9mHBtDlGU0ywieZ3aSRvObm4b0VbWt3PXHnGhDVtTHApYh25akdfp+uPXXgLwlW5JkdRVVeY85pNAjjim5mhezH/usALdrYWqTZSLt0WuoyWbJuFoYK2eCTNAx11KBW1N0AIY3PptjlXF/E9Hw/Tz5JUingqXOmYQoZCoO+mw6fn3OOi8XHOJcsr58upnnjjDcmJZAHRjsWB63vc2x5mz/ACfMKSoaozJdEroH2a5B6b33v1/PE5Kk2i+qmkKcwmNTUOYlupACXW1h2+mFoqmBaERm4FgyHzHBxnkjQKdLFRqYOevpgOomjZgNIEhFiL9Prjm5e5VuuAiiqGdVdf3RYbJc7/XDFJmsDNbZfLoNwD7nCNIZEJMbXYi6g7ge2DYq+REClgX6IBsCfp6dcK4b7IeMmlbDJ3VW0BwGcgKx3tfAFXZjyVYsS19S79Ow9cYiqHqpWLKFYAg73t7YlNMIwSG3UbgbWPtjJVsO5XuSxqkaqbaCRue4xrBVIC6hyysLA2F7H0GNYWUygqCIxcaCLkew9cR1FFFUeeMsoXbyDp7fl/PDUDUyZXZdSxsyoTcEJ1wYlR8K7mW6Le4UEDoNvXC1ZFWRUS+tehO5+4wwSaMl9SESN5SEOwPrft3OEkNGTvkPoavmyIw/dKCNJB3+t8Wh81JpdTPrfVcgHSLHoL4pkFNqAKx7fxHVfb1vglHeSOYkCVVNluSCuOWcIyZ0qbQZmgNeNMihlJI0qbkD7YDvLBULGUZU6ROTsxH8OwwWtzGywprdRfUT1xrFHMkJdiJAPKyyDTpHtjJUqA3bNsvrfjKsxFCJjdiL7DDemqP2dZIri53BsPtfCKraajbS0alGJcNH8yDte3bBNNVSS1afFW2ayzKuzH09sLpNqHa1s0krSCO6myWbc2t1HTBfxmgRxCRoybncb9fTCmPMaYWiJKOrWNlOrpuL4kXNoIyYV+YEnZfMCff0xzSgVix60zah8xBvYkbm3vbEtHnMfLZfIp1aTrIFz2wljzANBH+8Mmgea4ub42aohZDKQrP1uFN+mF8PzK6/UdmpaqcoyxqYSOpPnvgunr4pI3AlXfyhAD5T6nFdWvHw6aSyqGBLWsMZOaFHUljudXlXYjfb+WBKF7IOochY6yNwralJ0gjv36DA1XLNEQY49k6oOg974AfMDzYmijkiIF/+3/ziJs0SWLzFmkHa/b+2BoaQNa7DGrq2ji5rTFpCLKAbW9enbA1PXSVULSfvFF9gN7+4xAtZHU3A3YAkW2sfU4wYzEkTMwXTuShv+gwnAylY6SpWlhUb8xidcg66fbBUGaU8qRFo2cSG4kC7W+nY4Uc6KV22cFTewXa/rgiLflqwJdQSb7AXNrYWkbjccVEyxyAQoj2OzA7H64wrO8qnSBEPmW/+bYDK6YQrKulje6ndfsMQyU2mxnnsI72N+3rhGaxnUPTaGMYLuTp637dCOw98DVSK0KiNSpt+8Ui23XocDu3I3NnY2Kjpce+Pmrw2tnF3kW9h39sBKg6rJo42hjCP5iTp8tj2xHUZfEIAHYxoxBK6uvobe2BZ614VaflNKtgeVERtc/74KVVlZGZBudlZidI2tvg+8iZFNTyPCIwdAsSGXcjfpjXlrS0wSQlBuQwW1yOhbBclQ0FM4VDy9VwR3OBJYpqmVuYCQSLhbHSO+KJ2FqiJWACPtoA8yqLhz0uPzxDXQFo4woWQs1xHbZbevpj6o5bRMohYFTbWTYW74+p1DrqWUSU63uDsD/4wRas3SpNPVHUrbrqIawVfTf8APbBUFcnLWNuUWT0OkN9u+FZkkoahUu09OwOogAW/v1wY+mcFiFYKAsYIsPp9dsYJNPuQ4IRg3zEAAjsT/bEgYK5RzzmZgSFFgT2xGpjWnKhCWHRANgcbRnRMFtcaRexvv6YnW9Dx4NpuVVyXccsRgkBT/FftjXlyU8RYS6yRbyPc3+lsaArOASlydrX2F+uMKWgKhYwArG99gR7HBpDBskwZYxTo7Qp5Cx7H1/2xCycySNkVvKd1YfJvvvgJI5IpG5J1q5uUY9D6DBYV4QsiMTuSRa2o4UKdE00nw5dJSCSoEaCx7/0wJyZWVAeUqg+ZrWv6XGJq8CRFhdS92V1uQdLemJFMZQgqSOh1C63wa2A2aq7OCDpRjbovmt6WPT9cQNekjMZm1p8w0bWPa+IhUwrM0olaNgbKAbg7fpjWjrIpDIttJZdmK3JO+/8AI4OkTUaFkrpCXaNiyhbr2scB1MsVPKqOVvEQTsd79AT74JEDymUyHeToy+XVbf8AXEb3qQglLSbC9x8o7D7YpVIUGnLSKLKFCG4NrFf64lANUFkQrp6qGF9N+uNWhYxkqdRv846D2xC0Dw1CVErOq20hI7EW73GAFOiFyXOmReTIhKozLYNf0xIJpl1JKE16gbgWIA737Xx9JSy1MjCBQz2Drq3C+++J6ekNU7c5CsuwITpf/fGKEMtXKXiVW5Yd9ITTc233P6b4xSRxyVBvd3ibvcE3xKtFMlYXdQFFtLHrt64+gElK0ighi5DW9j0OEkVjd7hofTBImlQSQLtf13Gx/XGKmZ6jzFlDR7A9STb8u2BzEoS8al9e7L2BBvf9MbEu8ywuOj+VAPa+ESou+AenjqCHJcRiW6hj1x8YwuiNCxbo2nv2ufYYPiydHQJtpJsSb36dBjNJQGkkMSpa4G6kksdybn88HUkqEjC+TKU2mILoN2JXWRYk+49MaU1IIjsOZM3lBK7D+ww4aCNfMEdFPbVuB3vgR54aYtKgAVdl3uffCai2ikechrpipBJ1iw1bWP8AfEtTKIGD6i5Y236+nbAzrLqUAXjU6iSbkffGnNjkv+7bVc7enucfXVe58gTrWKJg+lrMbpcG7D/TiY1Rp7OH1Em17bntiKJdEZlsXG2kAgWPuD1wBXZlHGQjKS8o1vp/hUHc+1+m2CkC0aSVcjz6XLOkp2uLctR/fGrxCQSqw0xruu97rbbAr1W4BHzm7srdF7C3bAdbmojbVAwZt1VXO1/6YdIhLdk8sqOiUyI7lgBK8bf9NL2vb1PpiGpzfRGIoeXMsamKkgc8tpJR/F9AN722wsopRSSy/F08iTMpkmrqV+Yqi1rkgbC2wuOmHGS0gneWtqJY6tDcUjcoK8aW9ff122wyVAe3BLQQU9AKamNRLPIpZmeZi7SMdyS38sGJLG8ZBRSTsqXsLdsQyKFmBa6svn8+977dcRSvy2QKLmwYEi1hjNWLbCY3aZinKUyx7KSLj74oULrxN47QC9qPh6iNQx1CyyyenvYDFzjYJrnmltGBcsNrDe5OKL4LRnNeGOLOMJNE8+b5wYobHz8mPsB6Hbf2xVKot/L6j4tpavIvzyzPO08h3fqo3s3phHxPmMtPW0xV5FTkSyH9yJEOkLa/cdf54Ylimot+8U9VtZhhVn9UqvV3mkiQ0AU60uoYt8pI3HS98LW/BFSt2z7gh40oqjlrTxrJHHrake6309wen0w3ErrNZkV0v5SegFtxiqUK1JjqiEjsuhVenk1Bzbve1rYODMZFSR10qBdLbfX3xd47Eb3HkdTynmaJNB+TcXvt6dsExuAiAsVAtdCPmP54XwFxTLG0WnX0sf4b9cGGpQakkJksoQC9tF++JaRr2I0h+DnUi19WggHqp3BP0O2GlFLp5hdVVTezkWP1thDmcrrEpbow5VwNt+hOGOX1TVMCliZHXysWHQjrfAcdrGUg1qotLGug6H2LLcn74LypGmjVCQ5h1ODq2vc2/LAcMwiVXEkay2Kqg2LHH0E8eU5S9j5AxsoNjIx3tf33wqVhvezm/wCKjiWal4LoqCGUF6mpDOBuVVQT97kD8seP6SjmkzNQ8QV2Os6upGOu/iE4gqcwzymy+paN54Fadwp2RmtZB9FH54peRxQ13EVFCSbAJHfqRfcn9Menjfh49h1DxJRT8wvxEpk/bmQ5Utl5FJGZEYkKGc6ja/tbHSfC7h+VaminiVZJmikMUarqJsygfS98UFs2TiDjWpqaqMSOz6UKgagF8oANvQY6Hw1nrVOc0VHSymhgYvAJZIrtEgK3uymx3A3tfHHmy/lKK2o9XHi15ZZK5exB4kpVTcZpRTRq3JjBspvpv8o62PXHceHqRaHIsupnpwj0sQi5ae3cn8vzxS6nwfzWs4ty3PY5Ya7JWmCPVwk2YLv0be9wB3746tQUrO1UAbNE50qqgXBANj/LCQywy446HZx9ViyYsso5FTJqKpp6mZdAZnDX8t7A9bX/AM6YYTTF6hpBpuCAwO5ItuML4USjJZl0AfKrA+U++N3laN10hdQTS1rkX64MkjiVolqUJ1lXswGka9jt2/ngekMpEYDFBuSoOx/P6YxHVFiELCXa58u/39sTQ0q86Uah0sp3Ww+mNRjGbcY5TwLTLmmaVTUVEkqI1QIy6ox+UnSPXvj1v4NeImXcWcP5MMhrqar+FnEdfKjaYkVwGHS92IPfH5y/ia4jip+GKLJSQ088hnHcBUBG59ye/pg/wR8V4PC38F/H1XLTvNXZhxEKTLySQs0pp1F7jqIwCx97DFPBUsfrYy2laPfXGPj7T1+Y5hk9D8Tl8SWAzJUVmeRX3Gm/y2B3744fxHxHUVddMWJaNTYyvch7m5J97nHgLgTxI4oSop6am4gzCnj5pa5nLADSTYK9wbntjqmV+MnG9O/OaXLc7hZrGOrhMLe51J/bA/D6FpRlOUnbPTYr1Ma3lVhYhtR2632wBIY30FCxNxqdu23f2xQeAuOs74vgrvi8kpqGOnRGWogqdcbs17LZhft+mLR8VMVKqBzDuVX9f0xySxbj+LXKHS1KqA8cvQnVb+L+2+I5aqSYG945gbFUwvjqULiIo4ew87G4Prtgy0bDmmUxMrEC/TE3Cho5LdjGjgLVCFmu4FtPrtffDlZjLGpNtugjX8/pisG8qqFbp0X698XngbhbMs/qJXhkNNFTLzGd0uSQR6dTiei2dSdobU/ClVTxM9FTyvzKdWM+omMqbkH2brtipVeW1tPAKgqNJOgG4G9t/vj0PnXA1XWUlRD8fL8BUqajlxHTvsDfbob3+2KRUcCtQw1Uk01OZSwKq0AXm7DzD0FreuHaUgnJJJTEVcwIr/xEfMLDEUdSQzSFmBPyq21/bFiz7LEy+dIX0iQrc2Nl/wA+uKtUujF1iQoACGYEm59RfHO1TowYc4MYWNbR3IGkC9jhxSzNI0kmllW4Ki17i/r/AHxWYdbSJGEsTuT0cYd0Zlu2iZkUi1rbH64RpFFfceUlK00srQsEB3Kk3ZRfqPtg2oVIozb5elj/ABA9MKaOr+HZUAK6lsVXZW2wRPXySOiRKlhZtwd/y9Mc7OiNpUj6SmkZGCgxRuFZiw+UDpiCtp4YPNFIEQ21CRTsfUYMmmNRG+rou2xsD9fXAMoarA1Ss5XrZQDf0wUrFlaB8wq5YZ49MkbxkWDJu4HqcbUdSSY3I1CTyodVlJ9D98D1FEtSuli8bghdam2n2JwJUzSZY6sWAVm0m6+Vh26d/phtKFtllkqiSquEuvl0k2Ib1/LExqzGrxgXaMaiw6Ee+K9PmpckrOhdT5lZbajbb+m+JKOokkqQ0ukowJ0DuN/6jA07bhvcfS5o0sJJi0BBsQbqDhelVzHgRWKTW86qPKR0Bx8svNLqU5caqDywB5tv0tgSrrafKMvlrJ5ViSmQvI0m+npc2HXCKCaKrJRZKSapdmC3jCiwANxbvscCZxMKY8oIHB2JO1sYp5plCxq4QsvRh5r/ANOuIpZviC0TjXzDv6rbucI4vtwFepg1VQFjRIotRX5ibMPp64Ooaw02kiNSHO4III+t8JmrzHdCFWMneTTcf7b41WqqKlOSjOxtt2F79sTcLG1pbFxOYMwS3LikK/IRcgevXEtLXRCGRX1c5mAUg9vqcVijkd2cOpln1ABE3HY7emD4WamZRJZiratSnocQlBcFFMfQ1VSZiFJWwOo7GxPpgatrGlQFlIYXFgbggDrjFLVCGRdyzud7LsMQF2ilvLG0iybLa1if6YVIPISKpmK3Og6ACTtjIqTILxxFmCm7L3998CFbylpLtIos0Y6+2Nwz2jQzSRRuSG/1HboSN8BmGEcupOXoQSMpNidz7f74JSE67yoGCC2pL/qMBxV8SkIRcovlDdT98SNm0bSalcoBZSUbdvXCSHVIJmIkiIYlNBJu17Een64iFVrkHnGhuq+g98RVGaQpJuGM5vbbbbESPJJBJqkAJ3Ww3sfbGQbRI0fPpmjYMVLEMIz2NvXA0FPHSxcpbaVudZ3uD16YLEwjQgBW8t1fqS3S36YVVBlkkL+WMKwAjLbHbBW/IuyDKjNKWPQ7WNwbLf8AW3fA6VvPlu5ayrpU9NvW2BWpFVlkqEQyGxRh0A74jjrlIdkUWXZmvta/rh9LvYGtcMNlzUxAtzNmYWcb/p1xrQ5ilZLYylWN7ljbV7H0wmFVzp21KZ5idimwA9vpiWnZUdlUXDDcvYFPfDONGUqLZAppYSW0pt84FyT74Io4ZY5AZULWuwft77YrdJW6SpchxJsgvY+/16YYHMAJwkfMX/8AYW8vTEnGx1JDBcyhmhVnUwjXpFtr37+2Ap6gxBWjkaSIKVdAbsPfEMq8yy2UKp1HQbk9+uJUoEJN1MmxN++298ZRpgclWxtRyJK90k88diRa9sZetXlyxK4ClreUE6e+IooweXrjUAC+1wSe3TviCmV1qZI1iugbUQPXDbWR1NhFPAkzkO9mDWNxub9Dg92WKUlGICm5st7G2BCwdkRVeNz/ABX2H3x9X5lDSsU0qQBpOm4sx9++C15AtrcIkrlkdVdSNBBLae3TY40+GXWsqVCqrMQUA7dRhdS5kJo3kC80gADa1rfzxsJiWDNqhmWxKE2uOxvhR1fcnrSsMRcokUKm2ov8w9MQ1McQjGm2uw0tGbDfffGz5ipV0Y6kuDp0gW+vriNpYZrgHlqblww3J9B7Yw/HBvBElLqmOoi2lt7X/wBrYaywxmHmxyXYgbAjoMKY6tBVRRzMqhlKlLfkRjUVHwOqJmL7XXQoAbfbCNN9iilQasjSSFChITdrG9iQdv0wtqYCZHlhiMarYBo7HST98fStPVzK1Q3k6q8TbD0xrKyqzJLeNpCAH1bm3f74DQznfJKKipgFKyU7VUcrBZGV1HLFrg277i1vfEker4lTJp5iDy76WsfUf50wSrtzFVmB82kBD0PXAlVU3V3NtLNYFd972ue+FaGTSLRSxOpjgcIQ24lW2x9PXG1VTwo0hLBCFNtiLW6YV5fVmKMENrde4HyDviSpzA6laSW6M262uPviTg2ztU0kmxi1HzoFIRCwAZgTsBfsO+EGcPSyLL8QqhJNJIHVbdrDBIzZJiqQThdDWCFCB374rWeTzNMzIVkYMF1aLE/n0/2w8ISuhZZYpbHEBWIHZXsEAuemNZ5JOVGVsWIv12tgGeYjyOFUqRqDdbDuMSI5mBPyrYFQe4x9fwtj4tSbZ9NJyj8Q7WjjABb0GEVRUfFs9QxMevzMo36Dyr+u9u5w6zR2f92EEgdQJF2A0/QYClpFR444iNMd3GwN3v1/Xp74aJpLuKE1QKzVL2C7u57/AJdsApmLBJKtlFO0looIKmMBW3sDcdL7fbDDMuVPVPFVJopYUDuJbqsjel+4HXAtJFLOHqqd2p1eQLTwzHmqT627XF/pi9ImfZVSPUVD08jT0zROJJpKeUNFUD/SPb27DFrtdQU0oOtiALW6DFfpqRchLtEkfNZv3jKNKsx9ht3wdDO9Stnu1tyvq30thWhLZNVVEWrRqZww2N9t/wDxj74tEp1DqFRgANRubd98RVUKHW2jzAABL9D72++B5mvIom0hXJ2UXUWG2HpCt+Yh8Us+TJ+AM0kj2qJIvhacahvLJ5QP1Jw64WpKfhLhDh3JEXRJl9GFlUHT+9bzMb973G+OfcdQScZeIHAXCVIrtJVVxq5wFvqVDt5fz/LFszLO/iMynnjZqiIyG2o9QSQu1vQDFHC2ov4/wXUtHTylW7aQ3zDNYVikdHFjckAkk4qeZVjuKyWSeen1KixaE1g2BNrHfufzxLLUqjsyiO7sdQBuR6bfnhRK5nqJXRJUdFsWDXv0Hy99j1xVY65OFOx7l+cRTmd3njnMcgULALdrnUPXBfxiNGSBqsR+eE2WyvI9UrSq2qUgvytBNgNiP64cU8e4TlnX6jcC+wxSkbZhaymnC+Zn1LcjX/luuJY3MsznWqxqNRJ9PTETQ81v3ShdJ+VtgT3vjaFIlieORQxJ6MPKVxJxTCFR1KVqLEUaRCfJouAbb3OGVIyR1bQhSolQSCz7E9GGEiSDWW/dq6psxWw26Cw9sRzV0g0KEMbxEzsYx/8AjOzfY4m4jqhzSVOipqHlPLRGsjMNlXvf3OAc0r3SneqnKosBcrBezb/Kp9Gb+WCZ6uKdJa6Rj+zoY+YgXoxG2q3cemKlnNUqZHm+aVIAWmdyqf6pCvzXPXSDb63wIw3HujzRxzX1Oc8X1lTPIJ5eYVk2AsQN7fy+2JeBk+GhznOpUN6OklkD+jsBGg/N/wBMV+R2Wepkkawsx825JJxZ6hVyzwytI2mfMa6OMxhesMYLHf3Yjb2x2T4UfM7cHutzfZNn3BlE5kqNMg1IoJk6ge+L9wVSc39mwlTZ5J2lZdzpEi/3xWODIVgypzrIM25sPLboLnHTPDDI5cy4zgpYVYmPmwRod9y6gH8zjy+olz6HtdNHaKvk9B8UUTZZwlwZRKPhwsjVjm1m5Z8i7+5JwHlWhcwqoRIBqCSBibau39MN/GGpEnGOY5dDoePJqeDL4yH8gKKGcn3LE4QQSSfHQTIBZomBuvlG4I+vU43SYtGGKfx+u55XX5fGzymvh9BlmDWfQsbcx9zbcW7/AMsRlUBW6n94dZA2J9sZnnFZUqdRWAbHruTjeZo5IwAA0ajqN9/TFzz1aB5VWOR1iuunZfL1Ftx+RxKsqCEyRowGmwI9fU4GRBMyGVnRGFvKe5239MS5jAnLWljkdDLdLg/w9W/z3xV13HSPMf4ls+OY5lQIAFURBiAd2BbqfTYDBXidW5Xk/wCF7wiyqmzQVNc1TmdVWZeqkcmWR0IkPr5AFH/uNumKX42Va574hSUNL8iSiEX2F9l2+gxp4yR/CcT0GSR2/wDs+VwQE6rKGcGRvv5wPti27lCPzDGC0Tm/RL5ld4Vib4+D92RGXLXA2tbe3ocdMyyOaGOIxj/lixLNuBbt/PFO4NoQlJTuXZtUxY9+gOwxeY9TVLomooFtpsRckjp/K2NOW9GhGoncfCaiam4O+Jkcs9RUysoLE6UHlX+v54stC7j/AKxGm2kkmwPbr9MC0FNNQcPZPl4SNFWBSyKdtW5O/uThlHTF0dVZY7C/LvcXxxPlshN3sGxQFIldbkg7Fha3riRWEilGTobEi1ifb1GIGOtY/wB03oQ7bAeuNTVJBUFeYNO4vpsAfbE2m0LF0xzl+WirqoYEcay9kPSx263x6I8MuG1eQU1XrA5fNaeI6SwtuBb+WPMUNWKmqIEiqEa/nBAIx6q8LsrNflgzeornjhplLfDxwaY1AAuF3NxuL4CjW51wkm6L9m2b0eT5WskMclQIo415DfNyybG33GOecT5zl9RC0pVnfymOJ2+YdOnYjrixcQ57IJqelXK2hp6cgyyysAG3uCLdevQ9MUHjihp48sNemZoaxJdEVJHFbUve5vf2GFjDay7k72OX8VwNJmDSyS83URfT1HoDbpthBI2l4YhqfcAEr03wRmOayTZtUSHVENV9DC3m73O/5YmpZIqxjKZCwANyGs2OecaexlK3RiBpVlMqRqb3F3a+3Q4+jDUTP2JNtN7qb2uP5YlSraFeahMm3zWPf1t2xvrEn714lR77D/x0xB+TK20RvXiRdSoisxsLfw9sbxZk7X0TWKsBdVAwseEidnmtEwNh9R0G2JjTtHLHIqAlluRYea+NSRlJoZUuamdiDKfmuSeh74lWpFU2pGEQU2sO/vhRBG0EiEEamNgTtc4YpSyFwigGy77Dp6YElTGjLUtw2rdUe149JG92thbXMlUGhUqwI/jHYH+eN2ywTzLcGNTYddRPvgmhynkVwDRM0enZiPmJPrhLSGpvgreYQtGuqJhKRZjFsW9PKe2JKfMpGAWVSr30adPnuP0ti1yZQsE0Vks3XSy7kfXvgbNcojrqV+YBEDdA6uFffbykdDvg60xtLTpgMFcC6OJ7MvQEgX9bjHMfFrjvL6fI3y2Oo+Kr6isip5EjjZuRdwxLG1rkDYdSTi7ngA5dWLV0ObStKYzGErFEhW3Uh1sd/Q3xXuMMsmzLOODMuzKmjtXZsKm0BLBo4ImYs17fxFB7DFIuNiyi6o6MySV9QzvKXBJICbBfqe+NFjNPU2TmSN8rEG62+uH1NEwjWNEi0qTruCLr2xJohUcuZQlwAEPTHM52VUWkKJaSSdipBsrfK3fBlPl7U11juEO91HQ23+mC/wB3zdSMWCi2gAi30OJo5H0szaJLKCyqPNb0t2xGUnQyiuTFLSfCLruBbzG9t/64zDCSWkY6NWwP69PpiZWQUru0O6i4v0x8EM1litFJJvrZbj0sB0xBvuUijJRlusSgEJp67/ljSKKZE5dQBHI1rhTtf2/TBQBhiYz6A5IU22DHA9QqRpzW3IFwFNr+2ETtjvYiSJj5VZk3u5PUn0xMwZKUFwXO4tfv2N8C3eQxstwHsbH5vvvjYqUUONbkdfN09t+/09MFqxdRK9OphJClpyLgA2C2xElOTyzI24IsAu33tglFLo7G4k7sSLnEtLSWI8xUlvmHQi2/23wjrsMrNI0ZkkWRbEfvDp2x8XJKpIdJJ1b7X9PtiSSHd7Tc3TfQw229cY1M8Qdo/KD1HU+2AMbSpGiaLbADSA17nAVXFOJQqLZntYv0T1w1jplqEEbxKBqLAk9ftj5YyZUiRQYLEFum59O+NdGBUVjEYlGoJ89hcHALZQs8zrGodQbFQLDFopspFMIiu7PsdOx+uNkplieZGYITYgtY6j1v/PB8Sgad6KwMjd5b8pgGG2nYA2wVT5Eqw3kYMm4K274sdLDMTuRpvcC+9u5+mC3gjWMKIllS4Wysdgf1tvhXltlPDKr/AMPjzvbQUIIsev8AtjMWWM8TOzABF+UDv6++LJV09PSu66NF2Aa/XSdvXA1TWxLFLEojYKLDUw33/njamwuFciiKCHUqqSdHlO9iPqMb834i6AyKNwSCNh74mnlgikSMxl2//GwW1x6/7YGklSNpWjCiRTa4G5+uCI6QY6xAawo5cagkk29Tf3wKtRAC80bB1A3K7A4CrZnraYs7FCXsSuxjFxv/AC/LGwEdNl90DNIgsGPU+/1w+kVtUZOaROsymnkgRWujsfK3rgYVyS1EjooAJB3G9rYiqRJVI9wOWdiGvv7i3bGI5kCpM4MaA6NJF7npYDDUlwTts2ECheYEVVvaxNrH1Hrgmd2qoYV5YEQ8o8wuQe9/b+uMSkNGW5fLg303IWx7m2FFRVSH9wvnXuCdI+vuMarDbQcjR1TNESZXUadTr6HsRiQSTrMxhcEIvyuBv7+2EozL4aZV13h0m+nax+vpgmWsMbROqnoSzXvfpbG8Nse0SN+9nErCQ6WAN2/zYYIhqoGA5nz3uR0+hGFcVTHFVSLMWUyHcx77YbRmOd/3zhgAE3HUem+M9uQkrVcDIqztZQASB0PWwPvjDNFUxG5JVSNTEX6dMYZY6mGVIlVWZtIYAE367+mNOSYGK09QEUnfvq26XxNUMpG6VLrdFvGpNgSduvX+WAhVMknJ1BFvdlUWf6fng4nm0wWUK7nrsLnf/P0wgnjV81jCrdlIN2O9+9sGmNaLBTjUrJqYsWuNTWI9RiJpisagSec3JDHa5xGUWo8y2ULfVIrnc97D7Y2loF0qyrzN/Lo6EWH5YHBW74Po45pXd5H5bKNRUEg3GNWo5GpjUSg2N9u/m9/tgpYI7IWZk1ndWJJuD/m2PpJhpaNbCONgAW2LH026YyFvszjvAnhnP4i0+ZyR5rQUFTQhDyKpihl1HSAPa+3332wh4gyOt4arKiizaNqWemd45DYFUZSQw1DawxBwpxbNw1n9FmFF5qinkEnLPSdf4kb1BW4I98dR8X1XN8um4xyaVZ8rzNwa2lkS6nV/05dNtiSGRrd1Hrj6lpp78HzMFqg5R5XJyOCZVRaofPMoVO1x6/liLMqxaWdoYTzGUB9C2DDtqF/T+mPquOKpVXy2YJWBdKUNU4Gs26Rv0N+ynf64qGZRVMSiGuhY17Hl3jJR9iTYg+n9MUjHuJqvYPqJoJ9dKZAIIwSxqjpuSflJONMoaSV2rZE5PNQxJFquLXtqt0F7flgCLL/2k/wMc3xFFGpNYKiKz6uoF9r37+2LLHFDJCEBCWAtGo2HpbFKEb22MrGzQRu7MLg7XuAAeuCIlZZFfmczSOgsCd8QowWI6HZgu12Xv3wvrqt4DoIGnbcdT/TBUdWxO0G1kkdi+4ZiLacBVNWXp9IkUs7WH0/2xrTaasFRcOrXLnpYb7n6WwtzqtTL8tqq2QIopoXlYFbDSB2PucVUFwSbb4AvDGQ1/ixxjxZH5oOHcs/Z9PUdhPJ5AB92v9sEx06RRGIG5Hl1Ee3rhJ4WQVOV+FNFLfkTZ9VyZjU2b540JWO/3JP2w6nURLeXy/8A7AxH54bHzL6fT/Z19V7kYY15X83/AKohltGbhSFGxPRjhQ8KrNVyGN7FgpkiJLHptb7YbjVPUkCQkG17+vphdE8UXxOmPmE1DHVE1rlTYD9MWOJcDOgrqeenlYEvqfTqI3JHtg34oNPGWUBA47239cJaNnqqbWhYHWQeaulr33FsMIiukl0AJudJ7fX6kjGEG8dajxs3Ry5sbXuPW+BJKt0iuCFctuD19vviNuXq1BgigAEKdX+HGiwyJqLEOHXpaxHoAfXA0oa2gyqzCIoXYEMgGrT16dbe+B/2lqkjdgyoTy547D5GFgP74U1EwqawwBjtu0na++kH1xO8K01LMrmRowhN1PXbp+dsHSqCm7DJZJzHFQRSKzQnlsSLDaxXb0A3+wxTPFnMxl3CNRQwkaJJREhJ3N+t8OctlNSY66rKrJU+Sy/w27nHNvF/NhPWwUyEIsbGRrG9za3TApIvBOctJy2siDrDcC7vd/WwxaePC9JFwxkce8lPRirmj6aZZ21W+yBfzOFuQ5G3E/FeSZVHYGomjiZVP+prH9MG8Y1iZv4m59VxLy6dap4oVHRY4zoX7WXGupJeSbPUinGDfZtL92XLhTLyYoUGjybuRbUAB0H3x378HWVx1XiH+0K9FeKiiqswlN7tpjdbbfljgvDFKaqRUSRQWsgYAi4O5/tj0T4VUk/BnA/G2dxJomnp5MniNhZGlqIw1vopJx4Oa5NwXLo95NY8an2Vks+ZS8T5nmOYyXE2Z1ElQ928t5GJ2+xGDqBJPhqfXq0IvLPfcC39MKcmjG6KFVIyEWx+YW/phhSVHJppImlb9zMQoYkfNsCfs2PWfupJHyVtt2G0YWd21EPEpJBF9rnYW+gwVIsYjV1VQvTSo2P9sC0BIjkKapFJuB2I6L+lsFmUrHa9k7rf/L4mNVEdE94X5RubE2PbArVUhhrapiFaKJkRj2IF2I+uNp6yWIxqI0N/KbnT/n0xVvEPPZOHeFqupv8A83GoEXUlnPqPTDSaKU+Inlbhqnl4r8XKYhRK0lXrKst1UA9/TCLi7M5eJeLs3rrEiprHKqT/AAg6VHsALY6VwFNHSZnxNnNWNE2T5c8xcAKZpT5VX03Lj8sJOB+EeHs5ghNZmNZQZrAx1xpGHjDDcEn03H5Ys8ig3OXZUW/Dzlijjju22/sl+44yHK1oaDLA67u+pgw67GxGLzwXl/7T4qyqkjJAM6yOzb2RLs336Yll8Oc6p8xol5KVzShXQLZ10kMFsAb+uLHwlw7WcOcR1fxVLJSVMUDwjmIQVJUEk+lxYWP1xzrNjybRe42XBlwx96LR0ij5SiJ4n5iAEoXa5c3O+GNLpjhZAER5NwvU7dfp9cKMihVMooCwMWmFb6hc9N8MqqtMcySaxIWGjbcn+22GcWeOFzSrFDGjNpjdhuTt0640eONiY2h0oCNLn+I+2IHnFRUxWNox0AFwfRfbHyVLaG02Yqwe1vKPTA0tA3s2CGGRykhKtcrqX+mOneCPG+e5VxQMqp5DU01RdvhJnsNhc6fcgffHNwUJVr3I6csWsfpjjmU+L+YcGfibydI83qY8jTM6dKlGTnCNTZSVFrgXa1sZRcrSGV8n6h8QzZflGRpmOZ6nigjBKqupyGNlA9D6nHEuMPEJc8qhFktIIRyV5rSLqKhurE+1uuOJfiY/HhJk/iTVcBUOWPUQZYxpqqqEqR86o1XAWwJVQLD64p3B/jtXRxTVDZDnNFTTRI71FOIqnytfqAQf0xNQnFXJHU5WkkdDz6gq8trOXMo/fHmqVYfKejWxFHJoisoKSHyM223v/P8APFb4Y8WOFuKMyigo86E1eSRFSSxuksgA7agL2scW6kEKy8297nUVHXfpfHNPncaGzCMvjk0qFclAbEdQcHrCsylWT5lKC5I/w4U8/wCGVxGjhJDqCHZQTgvLcwUugZ7KPQ+ce/0xyyi29jvjNVugmpoEj5RnFhtcA3+2DJKWGGmdQrFHGwtcj79vpjEM/PZ1jkIYHy6hcsP82xNCzzEHQo0/NzB1I7nE3fcMtN7AVFStMz6UMgQaRcb3wyostWWaPmuVdNvMOtvXB+hHLctCgsN1NibemJopYqZkaxOuynVvbvviTk12Hit9yKXKUWZZIzYKLhANN7+/fBT0pQxgjS4sVVx298YNQyVGlQqQyAh9RJKj2wZNQmoViJWci22qx/PHJKcu52JIFkpGmsCQGl1XYm+kb4hrsrcU6xmbmQrYkdNJ98MWgEEUcqjRqvcHYE/XGqTLZtljLC9+7Dpa1/fAUnZrQgrMuqKamVWdEK3JY/Kb+2ObCNuIvF+koJ7PBlmRvUrGCV0tPJa/r8qDp646hnLxrIhjXXpBuDsR9cc98OIWzXxG4wzzl+eVxlkUgIKiKEJZbetyfTHZB1FyZyt22dIiqeXSAM0gGgbr1sO2PjMZItGktexEhPc4NTLWkhSMsQpHl9V9jjUgUchW59L6bC/p+mOVyXYquARqeoqGL+XlotxfueuNo1mWbmHzMAGWIr+mGkdQqBdMarsdh/T0vjaCpMEpJQIGsNSbEn3wmrsEVIlVJVNG1EVpgoKyagSW6kEf198HhWi5JlEfnNlCjoPTBr1Kzc5fmcsPINy1+5PpiK7VPKVFRSTZWkOxHf64jJjxRgxJVMzKoKiw0mwsPXEThyCxIlTvtufthoIQtPoQHWBYuBpBwK3kkRI4+Ybf9XUQb37+owqkkNVkBCoUVY+2xJscakAEXt5RZ19CehxpmFOHVJVZldTdgdhb0OJ7GdjMAFUkLfsdv6YbUxdjaFg4Eb/9Zd7i2Jfi4dUYkVVQG3l6/piGOmGrmRHU/t6ev0xIKRUuI1HLAuW02X2P1wDbmxkijHLFOfMSbHy2GPo5o4kudRDMF8o2U+lu2MhWSa7jWl9yEIt98bCnd2U6dUa3uGFvv74wzvsTPNE8igXcp5vILH7/AJ4Jj/5ldSAKyrcjVbvgGFVo7sqEdnuNRO22JlncWYO0SE2ChRZr9rYVqwoLiHMldWkKsBcMbH8j2wRSsvO1kFUtddQ3LAYXpK4qY3W5i0+fqNIF/XG1TUrNBEChVFBLMxuP9sLRXVQXLWSu10AjOwYqNPX2wNVVnIRP31pSvyXN/r7DC0TF5p5GJ1kAjzXX8vXGqz045lTru2gKwUXuR29sOkuA61RmuzCRkGiIu3Q+tuhO+I1kVIXLshDEHZrMp9cCtLJWHUsgFhtY7D2wFmUwCBA0iWFzKouSNhiscd8EJT7sY1+b/vESIhVFmDHG0NYkbamBk1N5uYLFgfbFSkCmMyazpv0PUm97XxM4kjPNkZnJHyFtl2vi3hpMTVqH1dXxQlplU+YXcgixG4tY4iSWOaNFeVwqAMTe9yf5YVuiS6nYARKRcMdRXvcjpjKrOYyBJrkJJCkWDL729MHQmKF/tB0UI9lGo7pve/Q40qK6RIhI2grouotex7W/X6YUgyjlSCSxZrfLsfUDEdTNLZE5lrG3S+3uO2GcEkZPyHkNXLXhmLXbSF0kbdL3/K+MugkpXKokzLfSEFjbocJ6eqkCEvdXXbybBvfBNTWSMkaagrFCCnQhj0tjLHZrsiaemhRA0Cu5N7Mtyv1xhqxI1YmONm0W1Id736XwMamQHcm2mxJPf2wBLM6RFGV1U7m/znFlBdxHKh7R1bU7lXVZQoBJJ3PpjKVgkqUJbREwuFPb3wgjqOcXYsRIV8y28o+/rg5UQT3UGUmy8s7k2/iPtgOFjRnZYfjISG5JsCwuALk2H6nGAS7qFAANyFZiLg99u+FVMzwSln8tiDbqftf2/lhkHR4i4lYuUsSN9It/P3xFQpbIrqRNI7NE6KNcKkGzC9ht3wrqaoxyxoHurEX7kdtsECs+LgWLRZQCp0ndgOhvhfJRLFad7AIOmu9j1Bv+eFUPMPI2pK3YB0AWI6m9T/fBsdYZp1aORXgYlWVltf2+gxQf+JAc2ky9pxygAVYXupPa218WGKZqeNRq1Jcm/wBP/OD4aY1uJZoaiORm1MbA76+l/bEVW3w0AkURtILkBmt7fkMJKTNAGLu2oFvKltzttfA5q7rMt7dW8zXIvv8AcYHhb2HWuTzXTMaeG7uq2NwEO5Hp/nbHVvBrjQVtFXcNV6vUxVgZ4oLG9mA1xL6MwUMp/wBQ98cheJJZ0AuyxjXdt9x9O3bGaPOqqDMaeeB5KaeCUPzo2sVkXdbeoF/1x9NKGtUfNYp+HKx3xpwdLkPE9ZFVn4homtTyq9gkZ/iHYse/pbFy8IUOcZtmsWaxUmbR0lGr0oroxLUU7FlVBc7Fbazve1tsPeL6Ol8YeAqPM8ugUZxRs0uinbzS9DURsPVDZx6hj6Yd+FnAkPDPKWZxPmVTZ5ptP7sIpNkU9+v5n2xXEtfIZRcJWviiveK/DnC/BMOWxrDPRZnmDPWSNSsJYyjHcOrEAG9rafpjmTVFE15IKioZL2JeEKVUdT13+mOtfiS4Ozmo8SaKnpqCapjOXxpSsn/TIUEvc9BpJ/liuUPDOU8J08SzrDnPE0tNJWRUc0ypFSIiFtcm+/Q+U7n2wU4yWpCyjJtquB/wL4N5dW0cma8SZ3+xcrmpJpqRH0U81UQBbSHJ2ve/t9ccZzLQtdNHC61MEbleaB5WF7A/frg3iJeJM8np85zOmrcx+MYrFKV1x7WuEC7KNxYbYQ1FetGHEpKygaeWRYgjt9cGKV7MjOElwg1JlujAjyjcAmx9zim+L1aycHfAUu9VmtSlGiKPMbm7flbFhyarDxtYAlhezDqb7HCinSn4h8fOD8qqghocp15nVIT0Ci9vvbDuWhOT7AwQllyRguW6Ldm+XHIpaDKIlWWLLqGCkAU3VSFBbb1uxwldmkmjsS8Pc7bYbZrmLVdbV1sut3qZndyq28rMeg/LCiZTLBI0dgrEAAmxt3A9MHFagkzdTPxM0pf3bgmCRySnQjNGqG6nsPXFe4Zl+Lenp2s7NIka6fK7Fm6Adz03w8qC1PHINYCmO6gb2FsOPDrw+zerznJeIKXLKnNsthnkmeaCHmEyQxNIFAUEgllA3Fvyw8mlyJji5OkRZPxNwhLnVfkicG5moo8wNCZ4s7HxDNrCXKvGV6374t/jZ4bweCnEmVGCc5ll2YxmaA1US6rr1SUDYkErv3vjin4euGszfxdy2XO6Otp5YaiSulWpiZVeTUTuSP8AUb/bHpXxrqG8R+PvDXhSaPWq1DNUvclhG8g1dO2lDvi+GFyUu3cfqtEG8a5Knl2QcKZuq0+YcQ5FlWcGOOSoo3neNomZdQDE7C4INu2G/Fng5T8PDLIZK+ITVkXNjqEcSRFT8mkkAH1vjyvXZ1V8b+Nuc1kMfOTOc3kSCMDaxk0RgellC4/RDxt4Wgyzw84UVY1AyaSOku5uW1Lbb1AscXx5IyzRjNbOzk6rA8OCU8bdquX+x5WruCMx4RRVlKVcYk0tVbFSxvv7E22+mFNfC2c1cNMgKRLd5W/1jsMXTxGzaKho8uiaUCl0vWMt/TyqLe5vbFYyiCcU0D1DotRUWkYPtpXsv2xHMlCbiuwMLlPHGcuWKs5pi/Mhhl5EpAlT2Zew/T88cH46zBc4zmrkX94A4iO1iGsAdu+98dy4vnaky+fMF5Y+GhZtSHy3IIOPNIrWqEldmLyys07M+4v6j74hzwel06d2Xbwd5dPxJnGfyBliybL554tv4wulN/8A3HFJyOAzzyMrEM7aS4v3Nz+eLvQxR8PeCOeV+sCqziqhoEHS6i8j/bpiv8KUL1NVFIB5o/OAne3viV7Tl8voetKO2LH3q/qdS8PqECop9UV9TKqgE22PT749BcQ0U+W8F5Xl0VOqfFZlXV88ny6mVkVF0+gF9/bHMvCbKTmWZ0MSWVJfJoAsSzGw/LHXPFXkR+JNbk9HzP8A7YBSkyNfWfKWIHQbm2PGxSeTqdu256PXPwukrz2F2SQN1kUarbxr6H+mJ8ydDUGmWK+tVdtXc9B+W/5YLywI5jIJDpsfY/XvgephifPYJJIhJfXGGbYKbX3x6bfY+XXIc0BjJWMkIEsqgWAHtiOU+c80WYeVbD+eDliEqo0jB4mj3BPcemIvhgTzCnM02svY7dMAsnfIuqQ1TmCqpCR08Zlcr1LNso+gFzjjnj/nnw+VQ0TPqWaQABdzYbkn6465JUFEVla08rlpQov2uD9htjzN+IbNHn4pihhN2poSypbqSbC/1w0Em6YYt3fkK6KsXLvDWZAxlqM9zRSwGzcqIFt//lbBXh3lT1fxc4kAcvaO25G+/wDPrgDiyB8hThzLXZY3pcu+MlQA3Dzbj72AxfOAMvWnyuFmXTIy9Bsb9emIZZacd+Z72OKeWMfJf39ToOUrDR01H8NTs00SokZLHclmufzx0TjF6WkoI6GNF/aCpHU1k1vPzOUF0+4ItfCTJ+F3k4j4XoJLq8hgZyBcrdmucR8bV3xnGXFE4cGNakQII9rqoC3P5Xx5/RxUuo1LsvvsU9q5PD6Xw/NjqiqLU8UKHUY0B8w2+gx8Ulk/6qjSTqWM9D9u2FVHmTxEAMegDW7DDh3Uo8kclgQW0vvuP5Y93g+MT8yOB2SdyxGhCCEGwX74mklDqzEHUTcADofviBpRyxLdbG24OxFv0xvBFzmVwGCLY2LC5P37Yw3IJVVv7Pilld2KJGZNI2sR62x558Hs3TOPxKZaa+aohySOqatzRYmLfEpDeYKVHUalXbHX/FLN1yPhvMp4lKNyGPMHr0GPOfgvM2U0fHfFRW70GUyRIxNv3kp0D72PTD6tMG+5fFDxJaf7SKrxZxQfEbxJzjOZwVmzfM5ahlta2uQn+RG2PU2bRQ5HwDUhB+8ZlBuCW8qAde2+PLPhVkpzvjvKKTTeJ511bb2HmJt9selvECuqBloi1BVLFrAXBNibflbEupvxIwiXwbQlIW+AMhgrsyrFZmOnk+ZtwS1z/LHdqfMh5FdWja/z9b+xxyHwMyM03Csdag89TM0jjrt0AvjrkMapTk6f3erzL6H2xz5nFyIKTqxwmZJJIt3Sybam6W9MaysqIrFuWWbykEDb3PfCyLL0gWLlxkq5v5ugB7H/ADvieKnliJVELRkjyM17fS+ORryLKerkaQZlyFGiSO1rEkXZh3t6YLGaU76Z2mZrfKmkj8sDUZpqhGEaqvlvZjYE4KkWGKGR47FwRaw8uJOKZXVQ4ynMubMrA2eQnmKR8oHYe+HjVxlmaWOMLJcdR+WKxDWCEBlgJDWDWbvb+WJ5MwkpYo7Mblr6b3JtjmnHe0dEJrhMfnO6YSpqLI4NiwXYH3wG+dQRRJz2bTqvYjfT1/nhYuYKzh7KzMblW62J3++DKioSrq4mEQuQdnFrffEXAp4jb3D5uJqVlaynSQAFF9wOuwxsa+KYMwcsqjygob/Q4HBp5YF5dgbXG3fB4kC0JkSYAsRuLAjEnFdkUcn2EOYyJSwwPNcrLINZIPyL5m/QYrXgrFDU8IQ1+rTJW109VII9yvMka36afyw54wzObLuHs+qVcq0dJIkakWTU406h9ziTgjK6fhbhDL6GA8zlU+5kTzl7Akgem2GdqDRlWn5lxqqiJCrK0jkjStr7/UYFkkRnZ5YjIdAa1tyB1t/bE8VQXpxURqpU7Xt6/wCWxrI6QICsihTsqjcr7++IaWNFmtPSLIoH7yIKQdO/5etsEB40RwF1wsb27D2wKaubWiXu1iWZrAk+2NUnaSG8Y0K2xjJsR7k98TpplbVBVEQZDy6fTe1ha3T1/TDKKd0UTCJ426AHYD1AwkpWAZZHk8wvYdLkfzwwWqJiaNSzf6ST8xvfCuNg1BPxvPh0kSIF825tY9AL2xinqlmpmIW9xudViO35YGaWWHdo2di1nVen3xokwhveN4xawv23wug2szOxUEvzJmJsbC4A6EnEkMzQqscQAhZRsV3UetsCyIq1DPG0imwUxg3BHrbsMbh5o7aSCTfUr9VA74attjWGRVIMUuzXjWy6v4jj5akpTqSgKNuYx1JtiOGdpmvI6sg2Dj+I+hGIZHE4cQNGCrfOVO3t74KXmNbDBVoYIwSQhG52+2NaWvVSChcX8gVxcYDqJ+RE4ZbgEBX9bdhhZHmTx1BVpIwxIW52A+nrgxjYHKh8c1/ftCAFI8zWFl37/bEyVEbRrEH1SByQzG4AttucKaVbXXSrIxIOo72/tviOR41AAk+IYatAUbEWwdPoDWO/i5jDNzbynoNBtq/PESVIkhKhGUdQqmytv3GFrOYGjV1KTM1wNd+2BZDBE3mYsUbVcHT5u+G8M3iegznmNg7Ehjsbd/tgKqrjDzQqqwLAmzEBdr7euIJs3pHAp1lCXUldJJY+txgZ8wjYlQfIqkHWvXpb88GON3wZy2D46gKGdFvHJfmbdQe4wpus5QpIGhBLCO/b+mIkrXjjeJAyqhIDrvqHe2N4J9UCcuL930YFQTb3PrjpjBom22ER0qSIoDho9zZfNa2DqaJVYwlVmAHm04TJVtSh4goK3vrK7C/Y43fMJIiv/wDFp8xRt+nXGcGxk0MaydSirGE1FhpQn07n3wtkmSnk8ykyabC+/wCnpgE1Dhzcfuut7+bc9CcatDI878s2iPRbenXDxjXIrZhqyR+YVUCPp5T17bDtiGCCczsS7OCxtYDp7W3vgg3+EVhCEu247H/DjDljBtKQ6kMGJuL/AOHFFERtEev4cxjSb2/dltyDiCSeYo62Ma2JOo2B9bXx9KimRzMJAdgjJuCf6YW1VXM1t3jjc+Uje319N8MoPsI5IJppHfQAXCjuBt98SVNW7yatAsdjZd9N9sLZqiaPRIHAcLa9zpb3t3xmo5kVPHqZpGBAtex+pw+miavsMTUNIwjRkMa+UG4ucGmtNFLIWdSQLGwvbCRjToQYkIkU3ZdVz06HBSVBkYRA+WQdf9JPX6YVx8il0H1GbQzHa4uQW2JH19hiGpzuKjCtGysu4KJ0I74CmVghVdJcgKwax++KlxlmpoKVwIwNWx26j2thVBLkdOUmOa3jSkpU0TFXdrrZGuft3xW63xFeGP4WlgJj33Zuntf73xRlQyVDTs7M9w2odlHb6Y0lqY5pZkkLa23Rhsre2M8abOqDaQ+y7OxNUgPZpWNyqnfr2bHU8uzFHoFjcssqoB52F7W644xk1v2hHLFKwRQLgi1vXfFttW5rVO1KRTREBDIWuSPTGcF2Dkk3VnRGzsKVS4ZQfNJa99uwxI1XAojkWMrILliOg9RbFYoqNaOMRIHd/mKyHdgfX2w3DMSLOItI81+oO2BoJWV/wG8C6zxYgrqpa1qSGCRIgixCQubXI1FgBYEbe+Oot+HWoyijpst+IpM4poS9zJGqMzM5JDL8w2AA3PTHdfBHh7K8k4Dp6jL56OKaeM1E8mXlTGXffVtte1hjgv4h8q4kpa5IsizeSpjkDSctn0MpG5OroLe+PWxTWaemMtJ5GXH+HjqlHUis8FZHU8I5xVZXVZZLlyVIlnNNzyVj5I8sy3GrfVpI6EY6Dki1UdVI1K0aGmTrLYqLi463239MeYafjXi2kzaKt4kgzitNGvw4qGqCdMRPyK+497Y7Bwd4sZdyI4JaqGqHMWyZjGYJduxkS6kW9QMdunwoPvZx6o5pRXCQ18YPxT0nh9m1HwzPw7ScSNTQR1FezVZhk1SEsUQhbbDf03xzvIPGrwMrKuStbhPiXgjN5UdTW5TUCfTqtqGz33AH8PrgDxGzjK84nzafOMuX/np709UsquhQWATXc6T17DFXg4Hy/NszeplyqnqMtCtyIqTSspjC2UHSQSb2Pqcc0IQq3Fr5nozn/wBVK18EzteU8UeG2d1uUSZL4oZdJUUqsi0vFOWJDJKxJN2ltG19wNm6AYVcVeDHG78OSjLsmyrjWirKhag1GSVgJKLfyDmlid2JsH9N8ckHgnSS5JTsfi4synqTEtxpTQAN7EHcsbdegxvL4KcYcM1OZHhzPJAlAVXmUlQaZizdkAO9jf8ALDNQjupNfFX9gwxeKqjFfLb77DrM+BG4ap8ly/POFM6ywRAzVdRNSSRkPI//AE+YgkQhQAAbqNzvvjmnhZkFPx34s8fVuT86DLGlOX0tTO5lMMKfO5I67L29Ri4Zv40+M/h3kFeldnWYV1JWUzwxpmKCbTqBTWr/ADDcHv2xTvBbxHpPBaOFp8gpuKIKiF/i6KofT81tw2+9h6b3wkryJ4402/J8rk68eJ9M/Flaq+V3ar9yzVXAXECy0ho1XMBWtyoaWAnmH94FUldxvYkG4womoKyi+MElFUQ/CSBJpNH7uI32Bbcb2x2PLvxH+DGd5vldbmfCXEXCVTRxAQz5fOJIqcrcrZQSLXJtt3wyfOfC7irhCel4Z8S0yl56pJ5IeJaY6pQisAhNunmv0xZzyR/zi0vh/B5MsUZbRafwf8nn6tqBLRty5NQa/mI3It6jrjsb5l+yeDOEcogpKOWpodVaM2y2qkp8yWR1LcklSNSjWT172t1w14i8G6rMPi8wD5XmWVRUdPDSVeU1SOUR5EBJjXfUq32A74P4z8HKHNs/ysZGJK2mqBUmSpppOTKDGqm+k/KNwADa9vfD4uow6/zODT6PP4bljtfLn4NcHNfFTxWzJMvyKkRpEFSS5R2AkIW/X6lv54t3gBkddxRmi8W1TRSQZfHJS0oaO71AYMhJPoNbDbEn/wDafnniTw1kPEcWcwU06R/DplM8OmZfMb+YEgnufrjqWXeHuZcB5LRZbHllRTpB5eZEdSsANySOn++OyfWYWnBSSTKY/Z/UWsk4OTX7Cah8BeCOGs+pc6o+CaHL6+mlFRA8EkirG47hSxvhz40cS1OcZDRws8lOOcrJHBAs3NYA+U3YW69b4Ky/Npa9m5muBI2C2mezjVvsT2FsUDxgzRHr6GhSvaGfeeNYhtpt3v8A+0YXDB+InF7rgXrFGPTtZI1fa9zmfH3AWfZjX0GZvQxyZfHDHq+GF2QqNo3jIDr5ixOxB7HFXDsJbFNRU6WUKevp649NZJx3HnGV5ZT5/l6ZnHAgXnQrZogq7bggg7A7HC2qyLJeIJAsU9KKmUBylapVri5J1gAk2/1XOJzjli3as4scsGRJQlXoeRPGKtqKThJKbSyLVzBbIN2Udd/yx5//AHKmaJFBQaVAY9L9xvj2V+JLwK4g4hio63LKigho6aBuRl7vaSZifM6uBpPQWvbHkY8L5tSZ9TZZW0T0dTPPp0SqVPWwseh+2J4pNr3tmeooRjSi7bLV4isKLg3g3Ix5GVZK6XfqWICi30GJ/D3LnqmkZi2tVHLABIv6Gx6e+FfifWftHj6sh1rJDlypRoqfLZFA2++L/wCHOX8jLjUqEke+lFYWIH07jHFmnowr1/c9jHHx+pfkqX0O+fhm4Wpaji6lmqyYoYWNRKAfKiIL7n9cZratuJ+P+Icyb5JqucoFNyw5ilTf/wBoxavBat/4f4J4kzCanjLR0/IVJyVUvIdIBI9r9O2HGVcP5nWUVSlLw5Q1kMIE1TJRQMOQLXBAHmYn06nHP7Pwtxnnk0ldHN7ZyqOTH08VbaspaF4BLJq0i3yruQe2NpTpp4pHIG4uBvZSbb/ngrOKnKnrkgoKfMIqmOd4JVr6cwalABsIz5uvc9cPKngnPZMjqc2fL+XlixBmfUmw7Ei9xvbHa6rV2PF0tS01uItTAaQA1hpGlOlsbVVSyxLFYEDckjTtjbK40NKpMdgTc3Nr9/64jrakySsqqxBINza5APfCXfAW6ErkQu9SV0HTuG2BA6D/AD0x5J43q34p8U3hjcsJqtENvNsD/IY9ZcdZnFk/D+Y1UjWRYiyC3yn/AMY8j+HKRVfGNTm9U5EVBBJWW7nYkC/1xWLSTkzo6eOqaT8199wzjrM/27xxm00VmUzpSJrFv3cYC7AfTHYvD2jOZVVFSyErCxF9K73P+2OE8LQy5pmcMkhdZJJDKST3Y3v+uPXfhBlCUkorp5EV4wSRILgADc/fHm9dPw4qPkfQ9EnllLLL+7nRajL1ybijK6x57pQ0clavmF7Ir6QfuBjjBRq/4tgxZppUklbUL6iAW/U46txlIBwrW18Y/f1ghpIEf/QXdnI+1h98crigYvNGWVDz4iQptsLH8zins9Vjcn3PI9sZdWWMFwkPqV3MhcCMqt1Km18MEaY+Yx3jPQoT09x6YEQxxyqVFlJuwPS/fEozCSGYqCLPckAbWP8AnTHq2mfP12C6WnDzoiyNIX2Ej9jhjDRpDIY5TpcA+YDcHuMLEe0gYjS43sPU9gMSy10axcoAtO217dL4V7DpUck/ExnMVDwLAiuTNVVRjSPf5FBubel8ckyqnGR/hwz+slnMNRnecw0aRdbpGpdifYbYvH4iuKYoq+gyxaeOpjgRkbnLqUk7kgj0timZ6DlnBfBWSV0KtFKk2ZywFxtzGslgOxAO2C2npj6/bc9PBjahKfo19WkOPwwcLS1mfVmbLG0gpaWUxkddRAAPT64u/jA/KyvLoo5TzX5xaQgkHzBbgf8Axt9sTeDpPh7k08kdJz6Su2VWaz2LAaQf/cw64V8T1tTmdXlBmyyup4HflzCRNaKQ5JIYbAG/6441lWXqLT2R0vp59P07c41/B1bw1phQ8KZbACh0QqmoA31W327ffF9ibRCT5jqFhfcj6Yr+VQxRxxRsnKARVunYYdiPTJGoPNuStlPXAmrPHiHEBIuUVuOt2PUfXtjEdYQpidS6/wAIA2t9cfR00yuY2QqWW25vfGgdVcxKp2BJA3I/piA5tQ1AjnYRUqhr+cna/wBP83walXAzPql5bqxIsNiPQjHmP8QXiBXcKcYUkWUZjW0VQsAWVYp7KWJurFeh2/nivcN/iZ4qpq74WrqIMwJBKipgBZrdAWW3X1tjoXTya1Ipq3o9ZRySTvIzsAynUF3H6YNR2kuZCdt9SkG/19Mc6zbxTmyfK4q+bI1mnYqssMUxXTcX2JHbrvhzwnxs/FWX1NbFlstDSpII+a0qSLKf9Isb+98c7i2rRnGUHuXRFKiKSOYJHfWRs1ttxhrLWrTorxebvaT9cVKapm5WhLGLUD79OmI46+oGkShnKjq3Qj745dAyytFuhqfiGU67LbbQbb+lsYqK8QUilQXLC4ANiTfpfFbo8ymFMxVLsu3mv3wVDXCpIWRBaIaiQf4vTCuDLxyLgA42nav4ajoXDE1lfBT3ZxsgbU322xemqopBEgDAqpGxO2wtjkfF802b8S8L5eJGg5dQayQwmxuosPsQcdHFai1EUsknLVCbk7k+h/TEpQ2OlyuEfn/A2pqzTSCMuyafKCflb3OIhmcBPIcl2cWLKdJ69sKpK6P4lipLMLOxIINuh2+2IJZBUPOyMpYEFXta39cTUBdTLA0+qdVYAot2uTc2/vhkuYRSDSNMgZA1yOmKhSVYQcqaTTMwtrO5Y9hhlE62Rg0kaobi21/riUsaTGi/McyzS85S0hWC3y6R+WNvjSpVZAAC2lLb2FvXClqs1LSIjmOx+Zv4h6YIDOyGJ5ArEFtRFiTjaCl7j8IKtCyyo25uHJAvbGkV5ZnEioItAA37jrb8sK6GvRQpdubOT5Q5sv3xP8UqhedoWbc2B6A/TEXF2HUgxJjG2hRHJY9RsFX098b1OiOSMMeYwBc2GwGAxJFFETqFmFjpO9v540kzCFS8gkLuPLq7ew+mAlY12EyVemB0APOPQgCw9LnA1TXBYm0F5DcFluAB98AV9c8joq9ZQRaPZD6H64W2kgiDvfRYG24UYpGHmZyoZVearIVjZr6mN41ubbdemA4JHjvHpswbyu25B/ztidIzyQ4gCykdVcE7De4wPW643M1SCQRc6B1xWMaEcrCKeulZQnPLBmIaRxsPYYKiq4UKtG2rl/xP0PscV+pnXUArEMthoUDa+Nwyco83VpsLNsT0w7g2JrofVOYhWjlBUO5AUG5A9ThVmGYAzqgdNLbEJ/EcCpU6AFlPMC7L5bk4jknpooC0aEONipA7YpHFQXkCRPAVYIAXtbzHc2G9jgH4kgvOGIBVQVYjaw9Pv1wvqMxEsYJ6ADSoFtOIWYOg0fM1t32GLLH5knk32HGXZhGgOnbUuw7/AFGDctqtUMwijkVOxvdT9vQ4rUb6XiJUKWuCwBux7YY01aAgOkEdHUdPrjOFIKmxnLmKyBCC0DW8oK7H03wvqawSvoQudQ0nR1/z3xpUVaSK14SzblFDXt6YUw1SrIzfKdPS97elvvjKOw+ofSOU1hivkIOldrW9++IAZQ6AN5nHmXoRf13wupZJY5mLM0qG1iwvfv0+uPo6uaOR3cGR7ny+lzg6AOVhtXUlI2BkElvKqpuVN8YjmKovmUA3IYb2+o7YDgZlVizAB1sNJubk43aaMlNeoczyggfnthqZO6JZppNKIqq0jk7Xv264HkgkZAUeNrHzgHYWGNWkYTR6VtfbY329TiBZFp3lNwVtYqenpfDJUDUgyklYVADINA2U3uBfvbGa1w7gC6pcG5I3NtuuBI54xpcNuRY2Gy+mNuWtXD5rAadgp2/zb9cBqwp+QPJM1S7oI1LXux172+/98bpmk8UwhjivG3zldyfTEUtLJTM8YXmEttfrb3xK0ehlUEGRxYxkdMakZN9wyplNJFZnKtpvpYX1bdj98UPi6ubMqgRoQrxGxU9Ol8WyvlkcGQ72IJUDv0/LHNc1hE7zSrI1zIxAHX8sLR0QfcFhSWqqFWNdRQ72Pa3piKbJaiaUISY1vcnTfr0PvhhluimjMLxsRp8zKPMTfYk+mHFOZpoyysBZbMD1Yj+mC0XU/IX5Bw5UGcI0iiOMXbStj74vhiaCkihiTm6dr32J9b+2FOUK6m8plkuu2kiy74aUz1c3OsERVC8sE2KdbE/X+mFFlKzfU0MCQvJrkUgsVUFjcbKbdvpg6mp2mp4l5ukAaSGF2G+/1wLltIyBVSTmyG5ZpDffv9sGFWZUGrUxB3v5fa3pg1RNy2o7pmvBOW0NfFT0lfUZdmMsZMbZe7QMll1eYr5em4uO2OeZ7wV4jUeaftGrzek4yon8hhzSIUswS99JmjGk9OpA+uL7wB45+H3iCEmybOKEZs62JmXlTKhF9Fj16duuL5WxVddT/DUFYiAlWlZHszrY9Gt9NsDXlxKUpq69N6OiWPF1EowT/U89SZ9TUkfJzagqOHCrGS2YRB4NRNhaZLrYD1wUnhvkmdGaspaEyioA5dTlUsbAEDfYdb7G3XfHd804cyyoqYwoRag9VVLkm29/Y+mOY5p4UZDmslTXZGs+RZjeMNmGSuaV5dRJ8wXyOLruCvbDrPFNRUqbOZ9Fs5tWlyVPhv8AC+K3PKaumrmqaeFmL0FbDpYtbZh2P3F8WbOPDGiyOaWKXLhUmIAtEkANmvfUL22t6YOy3OvEbgMpG0tFxhljG7JmI+EqwvTyut0b22XFxy3xq4YmZaLiGlquGK+Y6FjzeBTBIW7LKt1PpuRgrqOqiuzRpdF02RpxbTK3w34ciopaWopHShjngWdeQ5KNG2+qz9Gxr/8ARvMEpXlpJKDPaFpDPE8tlcm1iuodfvfHYcshpc1yxpIpopoJ9S82jkVuV/CAOoFgOlsQcK5LHwzlEWXQ/vIFLWlYgFrkkkra1/pbHHLq23U40jph03hqoybo8teLWUSLl+RLPwvVyw5fU+amigFQgVY3YPcWOnWbm24v3wj4e/Dzwjx1wjSZgJZKdHLvAsLB5dI2ZdRsQL9LkkdDj0/xjnseU1mTDLMrFZDUORVlb6olANmUdje31vjkmb+KOW5fVVccNMkFZCzRpIgGkyHbcWsfe+KwyRyOsTaZ6FThD86tL+X6bpnAs/8AwhTJSwy5fnQTZ7QVCaG0g2v5rXPUfN22xzniT8K3GvD8/wC5pP2iqrqJgVlB9bXBFx6Xx7f4V4ny6samjqeKaRKqnQRha0CFna+5LJZTf0ti0V1M37hoOTUQyOQJaOVXVlUFiTp0n13IxZdf1eF0+Df/ABvQ590t/Rn5ZVmR59wjD8alRmGTSU841VCF0CMDfqNrj64seU+PniFk1VHVHOarNF5QUVEqcx9NwSNYIbewvvj3nnWU/FUGVCOCgEr5g0nLrmKxS3RrqGFjqP36b4594n+FXA75sZs0ymoyCSTLwXqsuAeISNIbMxAt7XI9MdEfaKnXiQTJS9jOD1Y8jX99KOWZB+NWsiyyjpc64OkmportzsmqjA4JHzBT39fNjp/D34w+EsyEEcXF+Y5LXSgKaHiKn/dXH/cRb7h8UnPfwoUQy2SSDO3yymWnSWGWofUJ7qOosugkk9DbHKuJvw5cUZXkdJmvLSsyysJjW7aWcDY+Xe4O1ji8JdLm24+JwZsHV4JWpX8Hv9D3Jlee03EtOZa6iyfiKjqEBFRk9RZgDfqj7Hr/AAtiDNPDPgTi5IITXVOR18MfLSKojMTWAA0rzBY9NrHHgT/6T5hwrUxyUsOYcK5nGAQ9LO9O4BGxNiBa3qMdI4S8dvFHw7blyZknFGXhQghzVQDYekqbH/5KcU/CNVLBLf0dHPk66bTh1UbXqrPSPEH4auK8lapqcizOnz2mVETlkcmQA/Mb30k7frihZucx4akI4jyKry1wdLyVERaNfcMt9um98MuB/wAauWUM+nifh2bJ5GshaMEwj1N49vzTHoXhTxr4E4zp1mpM9po3lXSBI6v9rj+RGF/F9Z07rJG1/fI4X0fQZ/8ABuL/AL8f2PM1LnEzStPS1ImpokEYEhE0QvudjuOuEOcw5RnWYwS5llcTrADULPDZ9DW2I2uMescy8DuA+MXMz5LTStMHvXZHKYJhve/k22JPUY5fWfhfzqNayTI87jzOiQACLNFEVSYxuVDja+x3IxePX9NmXvqmR/8Ajer6eWvDJSXxo8ccV/hbps0jnzjh7PY5J5ZWkmpaj5rnckfnbAuUcJ5nwglFl9Vl7rUEgkNGbFRv9tyMeiuMvDziHJTTJX5JVZWiuC1QSGQLf5hIl77YRZdxFXU9TPJVpHmVGFNnkALLqvsG/TtimTpodVD8qdjYPaObop/n42m/6yXOqs8OeGnCmXCLnVed5wJXiQ7ukYH9SNseoPCvJX4e4AE+YJU0k88xr5tUekJe6qGb0C2+gx56yCo4b4gz6LOczmq6qmySMzxpKNSxqtiVXbcFrdb46V4n+PeQ5lwHm2X5bLNHPLDCirJCY1Ksw1AHpst+uOOeDL0+CPTKLe9t15nT+MxdV1U+qUkqVRV2ziubZpWZlxDnWZIhmqVeVEdvNaR2tcHuACLfTBvihVJR53wx4f0UztJRwpnmfuJr86QbU0R32AN3t7C+CPDfI24gzChVpv3M9YDM2oAFE8zbDqOmGObcJx13EWYZ9LJS0dVms2qJSGaoqUU6UuoF7W6YtKShBRfe3/ByYXU5ZJK32/cqEErx08qM9pI5Cg7kafKT97DDvhbhGfPq6GNp0ppK+VYaZnDFnb6DsOl8Janh7Ocp4kqZMxoxSUqMGWTWDrNtwV6j13tix5NWVGU8E8a8UxlpMwpKT9l5UCLiOefyGQf+0MW+2EgotSlLsilNzjGK3f8AWcJ/EXmqwcJyZdlmZQ1lPLXS0bVMZtHIsTaZGQnci4Iv7Y4VlSQZPwjxJVxutRNVlKJDawQse364snj9NBlzZDkVM94MupANT337Xt6m7En/ALsUbOFqaHhPJaZW5fxMjVLrf+Edzf64qkqSOrGtOqS2pP8AXYtPhtlxmr4nlUEKy6VXe4F8equHKOph4crBHFeWZFiC6gpYsdwMee/ByjaOOGd1aNQ3MDD0B2H3x6Y8OYTnVcKiViyU2p0VhYgv5fvYY8DrMjeT4H03Sw8PAhj4xqMpyzgOgWPl3p5ppCD0YkBf0BxzmqgMVQxHzGohDEjqOWTb9MW7xwzWTNPFCCmjOmny2kipvNtfSLke27YpXMkfMJIICGvUIX1HoBEdx+mPZ6XG44YpnxnXT19RN+oyRg3yj94VsLHb63PfBtLT8q3MCle9t7D1+uBKAGWS6JcoDq0HphxTyABgHQnT27n0tjq4OFcmyxoW2FjqI84IG/Q3wDUpyqh4Yw8rxC3Wy6m6C5w2pKcLIrEllIsXYb7dgMJc5qvgYKiRJFkWJWqHMg6Nby3+gwHuWXJ5a8WKhc/43qKalQsiSLSQgAjUxYL+Z3wT4mQrmXie2Uw6gmWrBl0eqw/6aC6j7k4X8DBc68U8sMoK0q1b107G3lWK7E/mMEcFOOIeL56+dmfnzPMGc7lmYn+VrYlklpTkuy+//h7uGNwUV/2f2/8ATtjZeKfI8vhZwjo8S7GxF3U9D6EDF74P+Fk4Hz+SctLMY4YImcWUM7C+kdLkXOKTnukUdFGkQaZZUYyEDr839Bi+LFJlnAvDlJHCVgqZ3qpaguLMyKq8sr1uddwegtj5vDc5xfqfRdZNY8EvgGw5Y7LEZI3KKwZCrWIO1/tbD2OYNCWHlQKbsDY32/TCqUTKpNOurSLJGSdVrdCcb01Vrok1EUj3Kuknb/tJ/rj3FuqPhHyNzV8+DmNdh0N2tb74WsJKSnkUFpFuT5jawxkZlAqhGkVgQbm9wRbp9sA5rm8FJls7PLpYKzlz/Cii/wDt98DS/Ix5L8V5Z+NPFTMkQPUvG7AxBdwEUAbD0tincI5a+ZcUgmM6grSMQCAFA2w94YqqqpPG/FMrB2WAxc0j+OZrC3obXxY/ADh45jndfUiIssMQRXNtPqQPsMehkmoYm32L4oOeSC89/kd38QaQw8HVpivz2hJEjGwXYD+tsWjgHKpaPgrL6QMI9jKQFuGvtquOvTCHxMzZY+C54VVklqzHEi2v8xF7/YHF/oooVy2kgUaRTxqoJ67DcbY8PC5eH8z0OvklJJG8ELgRxalnFtmIOkn1wx+GVZQKryqw0i3S9sQ00YaVTFqYMbW/8+mDta6UIYBkvYt1At1wz34PJVAs8Sx0RYE6CRv0vvj6aF6akqJBIsjEF1VTYlien8h9sAZkWq8wooNWklzMxDfwgf3ODpTNVGNLlYVYHfcE9en64nTG7bFSj0VvHM1l89DS9WOxLm5t+WLLT1wlkVWsXQlLD7/59sV7hvLv2hW8TV9yQ1V8Mo038qIL2+5xY2WNeSYxpJsDZd72O+At7OzM9LjHyS/knNS0UqmUaw+2s4jlkMcbMvmF7kf0v/XEVQUIEisCFN/dft98EG7uhIdQB0tew7HCtCqTas0SWRSWZdLLsC/fbDGlzImVdWl7+bZrb/fC8UrOwEr2Ym5Um+31wQKYKjoLWSwDAW/nhXFMZOhqKnUQtiWuCWAuSb9+2Nmrrupdjq1d/wDzhTHIYl5bvbUDcM1iT/lsTrAssscpjUaDclz39hiemtxtZNOP+aBRiqn5yT5/tbDEOgaMicqqDcnb/wA4XGoJl0JJcC51He4/tiOpppamo/dOVKnfSthsNt/zwrjY6Yznq2kdDGzR6W+cgEnbBElRrisYwVUBdRte2E8cIaQkqwdRuW2ucSLKlyuprykGxPym9zhfDQ2tjeXMKOCISa2Wx30L362v0xlZKKvp2Z5JGg06gzLYjCPNJC0kXMIjjtZtrkkdxbpiU0QqIQstWQCdYsSCf0+2DoRtTY6gFMuiYShxUAgFWuQbem1sLcweSaJXKk2FlK9vcY1KSwolpCvLNlsLt062/riNsydYYbM0SMCLHqfW4HrjJWMCrEaWfUoIktqIt5bf3wZAI3SIvfltclQL3Ppja0ZYiMjUwFxvv03HpbEkkEhMaDzt7WG2KESKWHkq1k1I1iLHcddgPthVVk6hdbqRfSN7H8/54fzRvKmtrLFuypf5tvXtgZ8jZAGcaY0UOxA8t7en3xlNUYRPQGWVmT51Fyw3uCPT/fC6KnuyBpWYM3Q2Frd/5YurUcEsevlfvSu3LO/2H0xmoyynELMYiCADqtv0wyyPgbSVQ06UkYmYsxdtgNyPe2MVUPwZWYOrGxBQ9vr+WH6Ur0pR0YKp8oHz6T641zfLYqmOORHDuN5b77ethh1PegVRXQslbCkiSMWO2lhvbtv+eNly4LEG3VY3F1Y/ywdQ0kslWiog5Q1Mbqbex9MMHWKcNY2qQf3ihbj0v7YOunRuRBNzEeRgdSbaAov5t9ifvj6NQrtYvpCXYv129x74aVLrTg2EatoG7LYD7d8DrTzwRi0a6X2a4tcnvbthtSJt7kSQQvLHYK0mkhbnoP741rlvIDEWYRCxAG2+MSq9GHWSERqfMT1v9caJX6SFsxif+EmwJ26YKM3aIFJEl2SQqG+U7Wt642BhaUCWRVC9FO+3p9caVLOXb0Buqk9PrjWCGNqhH1I5K/8AUv8AnhhE7JdaxKXQg80kbDp6YkWDTEVINiur0Nv6DG8SRzQgC7OD5idlX2xO+WyOIGE6kWNlQ7AehGA3QTAiRE5kqmSVSCCGtiOt01UIljQ8zVuvT7f74np6PlxsSpdFPmZmuPqMbxRBIpZtB0hvKA24X/zhHIsJKerWdDHJGS245XYW6YrXEvCMtNVfE06GalmOtgj30E+voMWesoH+JEysqgsCyqTceow1UJDSbRgXA1htxb/xjNjqVcHOKbI5Z3KQxG4Fi+rph3BkMlPTurycogXAkAvYd/8AbFrNLHLCWaFYlN9+l/fbtiD4LRKFQsY3sBcA2tjX5sdt9hUYlXQ0rcq9gCosbHufvhfwo2cT/GjOhTI6VTJEKUkgxg+Um/U+uLRPlo5WmzSR3IVR1J64CoMuYPOLNG5mKsrWt9Rjak+AMJip4Yyh1WYmxsAbdd+uNaypSNVQG+k76R33642XLpYBqLNKxN9Vxdb4IWnjMQJBL3P7wDpvvcHC6qZkmz8zKDP6rLZF+EqZYSpugVtvyOO5+Gf4w+POBBGFrZKqlS1kkOpSL9LG+OAyKKdWUhG1HZTe9/XH0M3IRAraQRcC/Uf1OPrp4o5P8keFjzTxv3XR+k3hv/6hXC2b1Ua8R00mXzlAomUHT13BB6fbHoXhPxV4Q4uoDFlWbZelObbUbaWAuTcg/XH4p/Hy2Qs7CMeXzLsThlkvGed8OVGvLswlpXAuEje4NvbHm5fZ8JPUuT0Ide+JLb0P2pyfKa6p4/rM1nzZarKJqeSOOhdiCzNp0+wC2NreuBuNqvJMipkqMypxTLPdUVXsrlbexBJJsBa5OPzp8Ovx58R5BTw0fEFBHmsKCyzwMY5QLW3t1x6g8O/xo8EcZ0VNTz1qUUqkEU1Yo1K9/mBbrb1GPMn0OSFqDr1PWx9fjyyTyK0drn8IocsrxNkbyZdWMOcHpGamvf8A1AHS3Xe4xGKvxE4bgk+Iq0z6jUsBBVKFk9tMse1rgdR0w8y7xCyLjCknpRn0UdZNHyU/eBtAIPm6jqcTZZw/mVDlbU9TW0k8gYyJ8KjLEkfQKLkliRuT+mOKSk56Jx28zsi0oueOW/lyIch44bN8wgyzOeHMzyqqqV0xyqompy1iQeap2tb+IY5Vn/g1xEmbMKRYK+ONpJr07AO922YqfrjovF+fzcNZplFJArmSseUyaX5a8tF+a9j3K9sYyrxVymFzRV1UaSSQERS5immJlI3AkjGxHuBhsSy9NJzwxtP5hksXVRUc86kvkeXeOeF67LqgJmdDVRlmIU1kRWPUOvm6fe+Oq/h64T+J4arMzqnzCnVdUdOYp3CGzaddr99x9sddnzaizyhp4YZIs2y5wyy8oCpRSRva12BHTcDDKTI4cihipHo2ostFOqE08P7pVRCxAsRa7MPU3vi+TrpZY6Zxpi4+gXRy1Rna7CDOskzVJ+G6anzXL8wR+bUx0GcxgB7i3kYWIYX6++K5nddFwRmGYzZlmdTw1K8KQSQSHn0cpfUdKs9wrG9gLjfHQ+KVk4izH4WgoMtqGo8sOuLMXNjdgBy3AOhvL3B648z8ZRcV0macRRotdSRSPCJ46xBWUaqsVwqWuFOk9QwIv0xGDxy3a3OiMskt1I9A5xW5Nn+SQ5NDnEOUu0aHRmiNCXstgFJ2O/fcYhzjI66mzzINVGY+HsqCOauMkRmOMamN4yLliOhUg+2GHgnRUPitk0uUcR5TT5lEE08uWMkxWA+RxYgdMc48U/DfMPDPNZ5uDuN+IsgFKykUK/8ANU577I/lYWv6Y6MMZP3YS39V5+pw9XNeJLxVttun+xfKLLcl444mqKuc0eZ0kKGpkSWJJllFyIxdbMOx0sp2GKtw/wCEPCucZ1XyrTxLTQwyTVUNCyyqHY+UcogMptcgW36Y5bU+M/ENGJpM3yHhrjeGoADVVPryyqYKb6XK+W4PS/fGMu/E3wnDk9VllRX5vwLX1NQrrHxlA1dRqALFI54hsv8A7gbY6XiywT91rhbf6OGOTHOnCV83/wCMt1X4YUee5bm1SnDGT5pT0KgGWmM9JUBz8gKuLbk722xxrPeEPD6nr/geJcqz3garJ8tW2pqVz7SL3HrfHqjw2z+izngmKs/aWXZktVV8z4nKatp6KZY08saFjcG+klLdbbb4sEtPlmdmSkzuESwSj5DFcEe4IxTHnmrV2iWbHD3VST+FfuebMg4H8Q+DqGHNvDjxFOdUsa/uqZpxPqHuOv64tuVfi0424UqI08Q+FDNE3z1dEpDgjYmx2/XFozj8IGRy1pznw84jreCs3sSY6Ka0Unvym8o+1sU/iriPxV8OCaTjDI8s44yxQRJVUtMFm0js4Pc/fAkseb3XFP8ARj45KDtNxf1O2cDfig8POLatKemz2nEki6Tl1f8Au3APUEMB/XDPiTwh4D45SVly5YKiQCT43LZNDE72BA2t9RjxHxTUeH/iUGSi4f8A+G80FyQ8/LYueg5brv8AzwryPO/EXwqMdRkWZyNlieX4GskeopZrnddPzIT0uhFvTCLonFa8MmmPk6uMvcyxUkXXiCrg4M4d4hoKecSu2afswyysNToh1MdtuwF8HLm2WcS0aoUWn5mlQ6OLP7YK494T8J8zqsuouLs6fgXiuup0q0rKSORqDmPvpkJGk733Njbvij8QeAHGfBVOudZQYeLslZCUzLh6dZ1Nr3LRXLC33x9J03V4Xs3Tfn3PjOq6LP8A5xW32L7w/C2R8c5XBli6XAfmSRk8sRWu2pRt7YvZpqiuoKriCijqUzWuXTTJZGCIhCuYr2tcEAd/TfHnngTjmryjL87zapZ+akK5fFGVKyGWQ73v0IUHHT8n8WaHJ85oqOuZ2WggSLWLXDHzMBa4vc/pifU9LHPO0uDYOqydNFKbv4+tCKLLh/xRLDBqpa6p1fE01USspk1XvY7t7kYvnFWTV2V+G3DPD1Citmea1UlVMJLrZR3J6AW7nDrP8+4e4lpNeYvR5lTrH5LqryKx3vc237Y+4f4ljrckky6qNc9XWxNQZdULKrSwxMQvlVtyt+1+g2OPLy9Pkx49l3s9zD1WKeTmnVfWjw74q+FOacVZ7mua8PZjR8XmGRIqqjydJpZqQAhbmyWI9wex2xzDPYSM4NLMXvRKsOiQEAN1Kn0x6W8bOAOLOEuLMkyzhda2l4LyimRpKihn5T19XuZ6mZENwzPcC5NgBbbHn3LMvr+IOL42roplrK+uJkasUhiWe1yD1Nu+BF6qfavuetCMXB097/Rf+npDwk4e4fyThWhrny2o4hr5IlaaGoDJBTg9bIpu5A3vf02x3Tw2y3h+g4qy6jtNltTWr8THltVOGmFOoJJKfMo9262xV/BDwvzuvk+PSJaajqphFFG8ih9INtSr/ELL2x3zxbzGg4ep864jWjhFVRZW8EdYkQD6nsiIWte1yTbtjj66GCEIwjC5PuP0PU5ss55ck/djwu2x5Jz+VeIeManN2mOmrq5pOWwtqUk2+mwGIoaFRnIKnWWve56AR7fqcTRCOlkoS8QKyarSarsrEdAffHyScziMUwi1VEgvHHY+YBQDYj6jHowVJI+blJydsM0LEBpGkW+ZR0JH64a0v7qOyeZ2FiQvQ4WyZZW01WBLEwmHm5coKn7XG2C4uas2sHSFXfSbaf74zXcWLsZLIrQSBn0FwAGvcqB1/lih+KOaHLOEM0mU6RNGQdYBLXGx/LFrllWpiEau0YJKFxvte5P9PvjkP4ks5XLuGYaNWa80uldI7enviLtypHZjSclZyfw+CwZXxxnE0uhqPKfhoHJ35sz2sB6kavzw38HsqNTmqziIvHCBrkHygAWwhVBlXhPTl0ZJ88zZ5tek2angUWv9WxfvCqjloOH56iBgz1XlCKDYX9cc/Uy04pPz2PpOlhqyY12Sv67/AGOm5nGs4pIkDDnSM1rbbo2n646t4qRwJm2V5VTKqU+V5fBHJGDpu7DmMTbvZk/LFN4Y4cmzniLh+l0hmllEBTe4Fgtz6Wud8MuJ69M64qzacyWinzCRYmchiUVtCXt18qjHk9EtU36L7nR7XyaccYvu/sMYQJpWQ20qdpCdiMQVVOVhbQjklvMWJJG18TEpZnARgO52F/QDGss0lVdtwp2JJvYjoceyfIi1iXYLLcm+pXAt0+mKL4q8Qrl3A/EdVEWLyRClgkHYsQGP5nHQawKqMCBcC9ydIP5dccM/EBmApuHqSk5qIhm0sqt1IUk/ltikN5AirlRyrS+VeDdLCItM+ZZo8ruqg8xIhpAt6AtjuX4fOFavLuH2q5IkIq0Z0UsGKn5b2H544pxEHpTwplUJDily2KokS/WSZi5//p04u/DOaNSySSRxulpP3JjawjA+bp3OOXq23jcL5dn0nSYEstrdpUdh48pJM8r8qo3jAigvKzDrdB37dTti2UeYTs5uQV6qWWxW3fbFUyLLTT8H5PnlZVtPPmRlg/fSEgFFVjZf/lue98W0UsMVtDsSEvpHU3HU4jgcXiVep53tFOHUNP0GUGaOWjjuGt8jA2v6jfEk2ZpILrrDk21Edf6dcKBPtRCVXKK7DVILA+Wwv6YmqJHaS6FQFOnfZD9sU0nmaginzBWrppZ31NCo8xG2x9Lb9cFDimhymnqqmqqI4RAhklaQHSurpc229MLKd2hmIkmbmK1wDYfy9ThTx7mkE+QZ3Hq1FYDzNY8pe2kA+u529yMI477lIrVJR8x74WGDNeDzUrIwFVPNUOoN93a4sRhzXO60SeUhUK7Lvq9cV7w6yL/hrL6rKlTT8PFC1oQE30+bYe+H8eYmaKmEgWM6tJDAbDpY4ktuDqz/APJIwJTy3RgW0r1A6jscSUFSwibzKbiwJ6Wxo1MzRxrTlg9yqtcG/t9MBUisYWp6qNgySEqb9j0ONVkU6LJTakn0yAAAeU36kD0/LEEqtICb6SAQWBFvphMuZmc8q0iOu9y2ym/YDEtp5o1WEkl1+dzt+f8AfAUN9hpT2Mzzh5o4idZ03BsNvbG1NmksEl7Bm+RVPmOoYGhSkoCDKDXs+7AGy77AX9sEQ5xVQyaKVYaVG2YQxi9v/cbnFNCfJNTfYdxU2Z1JST4coqrszWC77nbBqitZ7GCBFtddU43J/wAJxXHzKeQHXO7kX8xc9OliLWxFJPLEh5bszhrKCew/y2I6YvsXWpFpTKquseNIxBJJIdQjil3P1BOJpOG83pG/f5YykqWXUw0tbawOKxJJq0MJCjgfxHf1N/vi6cD+IU2XyJQ1EpaCTytHN5ifcelvbEMiko3BWWglKVSdCNZ5KWYrNDypVPyuLdcYkrGhb/qEuW2Y2H0GO05nS5Txnw5yxeB1TTG2jzEjp9scKznKajKKoRu7KoBBc7EEHoRiGDKsyfZrszsy43hre0+5OapIuY9+bLpsbHddtxjSGJWYsVc3IIJOm2Fj8uDQArPpF2NtgPthhTR85hLdkbqQ1wTjo0qPBz6g+NtULLY6gdmXcNbBElQJVJW7FQNKKLH3vgCO/Mk2WHTcqt/mA6298RPKwWII5jdwb+nuAcZKxWx5SyxyUJBdWkXcQ37D+ePlmZ1u8rEAnZeh9sIEfmOTq8y7De/b9MHUla0aqzyF4SttAO1+nTGcUaMjeYvFMrqtmuQr32AFycTyZkhj5MszIHF9tz/lsCzVSly6qSn8Kv1AwmzCqtJy7qr7nXuNO++Mo2By3G3OMlV5WCIFvuCdh0P1xn4lYqksJL7+ZgANrDbCeGrZYYkAj0gf6idQwTFWNCyl0jCSah5rEHbB0gvaxxA5a2mSwUFUK9LHrfGq6da6ip85GojYC3U4Aow9VYRzctW8xBO5A7DBZnGhjJIZCo0hD139u+M0ZeZrNDF5ZVnSUs9hYbEdsDyieWZoXICiwJYdNv1wTFAiTgp+9tdwr7KLjp+mBqp5JEcsmt+yoRYj1xogZmojcuVkbUNVtI2FsbCjpnnQ25bRbWH8X+dcA078ol1YkMo1M25v7ep3xmX/AJerSdLu99Iv2uBYDDuxCWbL91tEZULa2NgD6YkgpEiBZYVUpvqYddvT098GU2YzRWnRUdjsE2uext74zJSvLAZ3LKdyYz8yA74RyfA6VC3WgDOQNJY3VexHXH0Qcw/6DvYEWuLdCcM2hiiKo6qXYai9r6vqcRmm1/vEsItRHW4Y2sR7G2DqKaRU0ifDFJGLkDVdgQRgs06NScqIBHIsyubi1rk3xNBSq9L5iWO5JKkaiOgN+uNYYEEbSRqyy7izHbfpftbCSkHSQPQxq66dWlr9V2AA9v8ADieloIgoVzJudJXoB9fbBUSRuqBjoDOADcjfviWcNVKweRSLhSzgFSB7jC62OorsBR0Zp0KOVKk2TW25HfH1K1odrcw7qTuQQdwcZgp+aWUMQVv1GobnYfyxoI2gmMqkBtJNiTscC72DVMnVrxgrIFN/M1rgHEE6JD544y6q2xI67bm3542XVIUZCy8zpp8ot74jkhAUmQMFV7G7bdf/ADjVRSjaZLqBqsjNcAX3A32/ztjaKMFCXlSMC+kqL39ziNAzqeaTcDSCdyy9rYikIhiVUuoVr9NrH198a72Gqj8q3jeIrzG7WNt7fTEkzXRSuzDa3+n+2PipWRR8p3urG4vjovgn4q5f4S5rnuYV3CdFxa+YZXLQwR152pne15BYelxtY74+3ySlGDcI2/I+Xik3TdHNljZJCdewNxc7kY+Zgh2Ggseqnc4zPZndwNJLXWFOg3Nh62tjQnRIVYLc9VPXFAcGNDoQyksp9u2JCAY7IGVb6tR+u1sa80Myhl8h/hv0/wBsfIosRpI0bqL3NvpjALZw54m55w00Joq+dNJGkSNexv6nt7Xx6M8Pv/UM4n4bEFFn1BDmlJFtqLFjb6Hf9ceRoWVl8oFh2JsDj5WWRrOVivvf0+mITw45qpI6IZ8mN3Fn6OzfjF4L8TMxyiWSU5dUwwPG0bknQ502sTbY2N8XzL2y7itlzDLqtaoS+ZyrhtJ9LemPykW8THoQu5c9vbFl4c8SeJeE6pJsuzWppSP/AMasSLdxb0wsenUUo4yjz+I25n6cRUwosw5jrHHYWM0ZKOP/AJCxxPlnG3GFDmklPRZi2Y0bmO0NYhdHDtcgtsw2THjHgv8AGtxFlDJBnWX0+YLezVC3EgFutr2x3bw6/EzwZxNmVJD+0zl5l/eVLZgeWQ6xBEUW6gm5+++ObNjTXvRTKYZytuMvodwn8YKt+NqkTxPlNelHGjpTItRBICzMSUbS1/oTa3TEfFfi3DXTjK6CjqK4ZnViGaejspikKINTxNZlAA6jYb+uK9luaTZtxJntTQtlGY5bEYoRFLIPM3LB1K49b9xbHIM94loKFs0Wauq8ql/arUyZPVIZo6rzqtoptwpA7Bh9MebPpcd6lsz1sXW5IrTJbfqe6aDiiODiyShyQCmqaa8NVItKUZgF+YdLgt9b4TcZZPLxTFO1TXOKgsqmeNAeUdNiQvU9dxfHmjNPEXjDgjMYm4Vqq2ClEhVqauInjYf9oJJA674PX8dWR5HDHl3HNHLl1YX1CsytBMURxbU0TEEW9mvbHI+nzQevHujrjlwzTU7T9UI/F3w9r+EDJU17wyZdI+nm0kmlpUBsXZbeXcHrjgPjDPSnhx0SU1+VxjUmp7kXuAD2Bvbpj9D6HK8h4symOsehSrymvhimpDMGQchkDAsG812JY2I2v3xyjxB/B5wZxMi1GQMtExmWQCBi6yWN9LAbW26Y9fp+u2rKqZ4efodE7xPYqXh/+G2ubwQ4Z4czPKaifL8qy39uVUKsYWbMaptbDWpFuXEIhfsMZ4Sg4syrgrL04f4lNHrmmrFk4hlasp4aHXy4g7HzC5VmDA9MdE468VuNci4IrOGs4yMwftKUU9Rn+WqxiSGTyMwQdCBYWuLAHbDzjXNeBqjgik4Y4SekzTN+I2pskpTHfVBTxjSXdSNtKgn6nHnt507Ttt3vwq5/Q9aOTBpqUbjFduXexW6Lxr4i4WyLhmtzDJps7kr6Z6mrOSjmLBEHIjl5bebSyLq26Xx03IfHfh7jZ8toqxqBpM2pFq4KWoIgmlhYkK2lut9J+uKt4wcGVWUcGSU+T1ppc+zrNIMloI4YtLmBgsOm/wDoRCz/APxxzL8QfhpDBwTQ5hLkCZh8XURZFksnymhRQIYSGUg3NgfTriUc0ZtKS5f9Z0S6SHvaJ/4pWn5v/wAZ3HxA8DvDjxJpJEly74Ss03FRAgV1I6dNtscbr/w4cVcJ1NNU5DmK8QZbTm60Nd5WRb7WbphXx3n/ABt4XRwZhwjxRBURQ/D5fDw/W03xC1dmWEOH6qXfvffF8j/EfHwhxLJw5xLk+ZUtYZ1pKfNqCE1NDUzXsQCvmXe6gEHpjpx5Yyh7r2ZxZeky4pU49k/kznXjmlDxNkT0ee8OV/Ced0sMcNPUTR86nmK9jKt7X9T64VeAsOd+FHhjnWd8NIZczzCYsTAwkMCgaVIjva5IJ6dxfHqbJeNcp4xoqiWhrqHOoAeW0cbozqehDDexHvimZ74D8K5pOlZSJWZBmSgulVlkpgcEk/MB5WwdN43iT2ZPxffjPIuPI41wV4hHxczTMKXj7hfLcxo6CE10mbUCGjrEdBcFgvldr7b4p1P4c8PeJmfzp4fcXlM1n1VC5NnkZgnYX81nHkNrjqe+Os5j4LZ/w+M/NMtPxWucoFlLzfCVAXvaw0sx+18cr4PyWs8PIeM1molyHiKaD4LK481tTuyt8/LkN1Y22ve+2OiGfJgb0yquPI5MvTYeo7bv6lY4q4T468PnEXEGVV9HC7j/AJqKMSRsOgIdLj0xa+F+NWTjyV/iXmh4TypnlldbrztOnr/73/8A6cNPDLxH4u8P+GOJswzRp8wyilSOiosvrTzoHqGYBj3BCgHcHrtg2LNfDjivJ824gzTKJuBmM9MtVm2T3qIKyQsSgeA9bHdlHbHfH2g5e7mj81uvoeZm9l6Fqwvb15KlV+NM1XQCNWafmSqrs5NjFYFhfvcj9MMMuzDI+POL8pggyylNXFIHhnk8kkRAJLWGxHXrisZr+G/ibPIavOOB81y7xIyDW8rjJ5BDVRbklTC1tLb2tftio8E12YcHZ1mrZnS1WUZhDTfCRQVtO0MmuUhPlYA7Ak49D8jPH3PoeT+filu2j2RkfGeQcKzUebrJEMxFCzQqy3EYBIGkC9rjf3xv4w1GZ8d+Gkgye2bZjWVVMamGCRQUSNLl9N7fOSDjyDnvipTw8Y5vOh1wh0pqcqbJy4wFtbt0v98XDw+8b0zDPqPLYmk5k09yYFvzE6tcdO3645M/s7xdORS3Tv8A0deD2hPFqg17rVbF9ovDLM6Ojoc44imPDuXxNJEEkheSaVgvURqDYe5sN8c/4qzumyOvzJaSoknr4qVY6eaJGF9Z3b1GwO3tj1PkPjDRZusFHLLUtmcrERQVMCpGUPRddyOmG2YeGuVcZZvWniDKYGo6imhjhiCiN4X82plZevXrc45IKWGX5qo9CUI5cf5Mr/Y8/fhep80424yEdfVvU5dSRGrlhqHLo5vYAg9t+mLn42cN5TwnnMP7LjWnNVC1RPSa9ccXmsum+4v6Y6l4Z+EUfhPWZpJkbrU0Nawjenq1/faVHlMcgPS53DDfHJPH3hrit+Jq/NFyl56GqYKktO3MEUaqAAw6g3+22N1GaGXLqg9qNiwSx4mpLc5lG0lQ2kAddlUXuO/6/wAscB/EpnZlzuhoUdZYqWEyOg3JJ629Dj2Z4PeGVNxpmAopayzmLmyAdohbUdrd7jHiDxnpocy8bc0yqllFRSR5iaOOXrqVXtf9MS3jNN/E6MEdfHnQr8RB8MODsiTUY8syqPmWG3NmYuTb6d8df4LWnynI6CLl2cuLlRcbb44nnLftXj+vdJXeOOcQJN01LGNIH6H88dv4RpZcxzDL4il41ifmMB0NvXHldfLTiS+Z9T0MNfUSaXovgtjtvh1WU9HWNxFUqscVHBNKoH8TC2j/APqtiowwJQw0iO4bS6sGb1v3xamo1yTw3zGQQ3av+HoIi7DyXkLuQD7RgffFVr0BrcrTlsIlbSCQDcgX3xP2bFSxOa7v7HF7cl/9hY/JfceKrCUmOJRdrAg3FsT6xTL8o0rsVVbAfX1xHCkiGIwOJHtuQANPtiOWBgdRkZ2I+W9gPa/f649bQfNrkhzathjXYglAGI6bnoMeafxD1MmbcY5FkVOQXRV1FW6yzOBv+dseiIVhnqXEgsIxqdvc30i3fbv7482ZvWRZ549yTTbZfQStNJa1xFTxFjv9VGDDa2WxR1SUfUT8U6Rx/nEi2eKkqWhjZDcaYgI1H08uL/wNRCvhYFyGZL6iLgbXOOQcJwT1dRK7uzfESfvCRc3JuRv1x3/gvKJJqEtE2h5nCRKguSbGw/LHme0JaY6UfY+yoqc3kaOk5rPCvCPAGW04QrDltZWssn/7JVRT+UWLBS0JMYKgLIo8+hrC3Xv6YrOeywUVZl1BHHvQUMdDIQdR1Ju35Fji0UchChFIAIvcHzX674riio4opeR8t12TxOonJ939tgaogENXSwu0hWV2aNjuDZb2JHQY2qJVPPtaYpuLbeYjr+WDGlFJMmtgI2VmbzDaw9exPTCrNPiDFTLG2l5WZpVHmso3sR+QxU4NILCY3phNIHZzqew6jsBfFdz2maoyfKqR5nL5pmcMAYixZQ+tiT9j9hhxXmeqkhp4RLTlRYSKoszEWO/sMYzofG8ccLZdFKDFRR1OYMxAsuiPSu3qS2FmqR1YP+WP943LHDnTrxTmkzMYorKqlTfXvtf7HBiVEEGySxsC5spO/U3/AFxTZZpKbPZW0c1NISxNxe3bfDOCuJjW6hXSQXva/X+uM4JbIm56nZbYqgUU8Mb+dJB5XXfcdcZragNO6sNTMmrSDuCO1/1xXZc5UxjkRPI2q4uPl9bYLK/s+FKib97PN/00vuu3U4TQ7s2oKWnihLSyvYFAyxLuzHoST6YnrKp6iGK+mKIXXlwnyiw2vgKjVdayVBYyzR6iBv0/wY2gVIJ9bamQrpKnYE/bG3WwjdhLRSWj2Xl6bPbt9PTC5Z5DNFG8RVQ2pQGO/bBsaorCNpCVc6tJGy+gtiVqMBOYhK2+Xy7HAHTBHqZiBGqa2JJYE7AA7WxCzvLMGYgsvRQT19MTVQVYQW1KxIsFH8Pc4zSpEQVWQ2I8ujc9b33xiidGJJCkKSM7B+gYKTY/T64LhkqEEcj2d1U6XNrg4jiVWYLLeQq2kst72t6YZLHHIRGY3DBrLfYAfzucJpMpNbo6JwzxXLVxUFNyEnVFXXGq20m/XbDnjHJKTNqWrqqp5BmUVmQxgFGX39bbb4pvDsv7NMhjb94bDS48xF+2LTNWxzBjr5mu0aodxYdQMcfh6ZtnpY8tw08nKxC0MqoyAuDur7Xvg1J3Z4ymgEHliPV0t641zyT/AO41HKTUqSWJPm39d+2IKeSY1MbLyyS2piNu3W/virVEBg0CvGgtsnRlG49hf3xExDBYyQ+1wwNgMEU9SZC0rgAKNx03HcD07YjqZVaIJEgZW8xRxba9+mEsxqIo0JRZNRbzaWPQ23t7Y1mZYoJVUFZFPzatmGB81lERjmimRV2Ui/rtYYHhWqmnYSInLBNid7/T3wWhW6MOssknN1bkghAbeX3++IS7luafMlzsRYj/AC+JloTUVB5l41Rdihtvfbbv1wUYQuqKSIkk6le4O/phr2AlYLTorN5wVdrAlTYW9cEGK3LImsqN9TY9MS1DRuyMVK3GwAvf29sD06NOkgZQV+a42BINt8AD2JuSstQqrrTRf5et/p3GPmqmnmYShS8YDCRVt+mJHoY5W1R6pUFwSHvpOBW1hJH5TOVFmZTchQd/a3TGATwZhNIsy6V5qm+obG/t9MbPKpKoymOW1muTcetsaxRAwMQiMWXWDq33PQnEyU8kD6yTMpUKGNwR9u+MNVkFZT6IBMrBdJ0hGNh+QxPRxwzKdZK6W1DUb29P64iqKRZY282i7aiWvpO3XrjSHKplpLlNKNdiV626/njA4GUTKY3eONnUDZ7b+4tjRnNxJOpTe2m9lv2wFDT1EClkLNyyWNzfb3GMrUyXaFo9Sk7hj19CMLpLJhBqkrSI5akxOilGa1r/AFGPoTLS0flu7yMLsdlv6nESxxSuyq58rButwW/nid6i4VnsWdvKW6qR3tgtWZOjSOonmkdeYIwmy6dywHriSI6onVXBZzcgm/T19MC0tIYaicIzsNQJV7E372GC6aaJS1hd5N9ai9vf/bE+9Driw2CYNKJSqgRt0HVx6/Xt9sb1CsUfQAFc2C3uD3N/thczuzCTUQFF7AX323t+eN4cyjmYizgIpZgB5ThNJVOxlVIiOrQygMQCFVtj3wEyRwHzgFred0JvY4iiZdJkDFxurOfU9LD19saSOYShLDa6MF/iHpfG0hJ1kihgXREuoC6km23fbscCPIjU2pZbC3y2uVse9/54gqIFBJJO+5C7kemAjC6DULyltzp2tt/5xSMdgXuFftIS1EjBwQnlYXHlNtsR1EwgS2phqsDIp6A4CiDQoxKKNR2sfMcKc2zWRF0hZNV7adPmA9bdsMo0E/NQNIqFhcuDptgpNFhcsE0ksep64gCgsdwD2J/XGlzKDqa69VHQ2x9qfLkshJJN9S6e5vt74yv78WCqi2vci4Pp/XGhS58pKqTcjHyxnSWLeVrhQTsB9MYxfPBHizhDgjxEocz434c/4t4fjSWOXLLgXZkIVrXF7HtfFQz+Wkqs7r6mgo/2dQzyvJBTBi3JQsdKXPWw2wEy6VQhATfr7YzJYjmF7gHdTucIoJTc13Ven0H1e7pNUSxa7AXPTGsjrGCdBB6X64kjqCwZSq8v+EEb9cbUcsAmgmnRpkR1Zo721KCLj7i4w4qVgqgxJdSCdxvjV2AEVwWF7sF9cX3xl4o4U4s43ev4OyD/AIcyTkogoy+ol/4mPbuBt6Yooi1LcWJJuN7XJxoO1bVAPmtcLpBNrgg2AON45ZnHk1O3q2/1OPoqdlkOsgr7nrfvjCznTdlB1bAg2t64xh3k3Gec5JUR1FJmU8DLsFRrqPtf6Y6Zwv8AiIq6XIXyPNqMT0UtQlU88B/ecwPquQTvcjfHFY3EbBQbi2N0jYsQxAU9WG364nPHCapotDNkxu4s9hVHjtR+IcctLkeYvS1LRECCsZUYbfKo2Fu974v/AOGb8IGV8b11Dx7xzmVHm9HHPriyChqUnZrdGqWU/LcA6APY98eABKjlVT5upI/ht74sPDnGme8I1y1+S5tV5TWRNqWWlnKMPt3xyPpaTUJUdy65t3KNn7pZ5mmXrl9JJ+0Y8roppo4pK6QBREtwF0i1gSdh6YoGbZLT8I5jwnwBwbG1DSV1Y9XPmfMX4hIgS8juCpV9ZsLWG7bWx+dPB/8A6gPiDkLUScQx0fGEFA4eL9oR6JB/8ktf7g49IeGP47PDfifN4q7Pqmq4czuKLl0wr4g0EQJuYxOg1BDfup6DfHz2X2d1ONucHd/sqS/k9PF12CVRku362enMjzHPeIOKs+yGXhmatoctSOSmzCJ9MdWW1HQBJpBKoASQTu1sJs+8JuFc5qYakUEeX5rIGaExTGlqoyNmZWRvmX74a+HfitXcQ5fkBXN6bjCKctEf+HpVmSKAlgeYwIZbKU/hvcH1x9kue0ufcU8Y5fyYG4cyWKONZHS7mcqdQVzuqqvX644ZdRl6aNTT259aX87HUsOLPK4tdqr40ULMfDvjjhniDJc6o+In4pGVQyCny/iJyANSsmpZo+rAFhc+uK/xZ4nz5/4hcG0/G+RVHBPDeRTvWs0qc2Cao0FUOtNupuLjbHUKmny2i8OoqzgGqzSOGpp1rYIMrHNdmC6DoSW91Yi5B2tcjGmdcU5pFx5kXCWYcOZdmNHm1KwkrklIdJI0DSF47W0X2B9TjrxdXjzv/wDrj14v9BJYMuOOprbn9aKhmlVk3iDxxwZlWRNT5llmQQzZxPV0LKyGY3SnQ222Zmffuowh4r4VrW8XcjoMqkMcHD/Di5tUIy/u1qXLxQA9rlmd/U6R6YvmceAHCT1E0mWR1XB+eS6WlfLJjTubHy9PK30tvfFXzvw/8VuAJ8+zPI8wpOLkzjlGpfM1MdUiRIVjQMvlKi5NvU4q8cJNaHTSpfPkpj6mSdT4crfwXCKAfDTL+HPFiuXKsvpYZIcrhR6yI6DVVVSbI8hG3lAZh7gYVZn+IPibwUoOKa2pzmk44oskipxqqYzA0rTS8uODUNyxCyvuPljPrizeHniNRcE0lZS8cUVZk/EtfWiuqfjYSIbRgLGqS7qbAEgbdceVPxSZ3LLwtkUHLMWZcW5hUcV1cCr8tOWNPQR7bbRrI1v/ANmOjBhbytXskkT6nPCWHVS1SbfwR6+8GPxc5B4sU8zzcOZrk0mXBGqJqdRLArNuq3U3N9za18dfbN+H/EKFUp6jL88ilvzqdmVmG+90YXHXpjlH4d/AHLuCvw9ZTkObq1Hm2cSfGZm8ZCzLIwuFv1GhB+d8RjwtzDLOC5c0WeHMo+ZGYpJ1K1gRpNKKrrY6jcdemIPrOm8aWO2tLS9N+PscX4fNHHGbVppv6FizvwQyCqoa2jyWorOG4p3IalgbXSAm97wm4W9zcrY3OOZ5/wCEOe8J8B1+Uw8PpxQsZeSCso2AkEhUgFoj0AB674e/8X8VcD5lSRVwrIadlZUGaIJqcsBcgSjfYd+1xi88PeLtHWJHLW0ksLMx/wCYoXFRGPckG4/I47FBZP8AHfvt5ko9RKDSumuEzzbw7k0uQ+BVRlmX5m+S8SQTy5tmEaytTTSTqhCxkbEhRbcbXGLBl/jhxNlXgpkuYeIGU0viFHXyyFBm1OoNPSWAAE1tWo9jj0pLkPCXicFo6iPLM2mIYFX08+MdSbbMMUfxH/Dm+a8LTZJluZy0WX8opHRy2mjX00A7r07HE2parb3u/gU1Y5QSlHhfG2ec6/wc8JuOuEo+MMsr828OBLVtSLTZi3x9C0o3YqwOpVHruAcKuEvw7cW8GcY0eZUc1DxLlGblcvo81ymVaqK8jAMzp1UhC3UbYvviR4Y59lPhhlXClPktTMmWUrpSz5c2sTSsblnjPmBJ+uKhxO9flnA/BGR8JV8lLXcO0Vq2KF2hmkqpTd5CuxJBNsdkOszQTTfO25xT6DFkaljX0+256C4i/ClRy1878L8R51kteWUFKn99A3Ykqx/linV03in4M1k6VkRz7KomJWqoEZ0e1tzEdxt6bYrPFP4pOL/DPiaiyLLa1c9psvo4YKuHMU5xlqSoLkP83U6QAcdvX8WnCWVcTzcNcW0M2XZtDDEtRKlpKaOZkVyg/iGm9j16HGh1PU44rxEpx8hZdLgcrg3CXmLuC/xa5Zmggpq+namqA2khQdS/RG3H2OOw5Vx7kXFLRvR5gjRoQXLnS6n033xT8x8J+BfEuaeX4GCqqQoVpKTTzo2tcXX5lNrdQMc7zr8Lef5NV/GcJ59NUchta0VSCzAe1t+/rhr6PPtbg39BIrrum96lNfqTZzxjU8J5Bx5xXC70FbmFbLToZ4LMkCDcKbWF7jfH57ZDWLV8ZVuczOC1LHJVlT5gWF7En6n749r5jxnxvwR8Vl3FOR1FTQSkoyzxfE077WPlIuu2OWr4d+GfE0OYLSU8/D0+YRmN58rm1qLG50wvuox0Zemm7lHdPbbyB0nW4MUkptp3bvzPOfAmTvnObFgxLyyay7d2Y3vb1x6P4MoFp2qY6mzNGAhci4tff+WMcAfh2quGMwefJM4y/ianFysDEQVSqBsSjbE+wOLtleTzUmYQUlTTvTVcszXSoQp3sB77Y+W9qSlqprY+39jzxuOuLt+g54voKiqoeHMmp4SXWkkzRkkFl0s2lCT0Ast/vhBxRw9XcN59ldDXqyyyRioj/eBlKMtw3v6Y7rmfgvmua5pJmsdZTzxvHS08eXXK8qCPd9++ogG2OY+OFDxLWcdRZlmuUy09HGppqVoE1xRxJstmHr139cen0mPw+nhG9+T5br8ks3VZJPi9hNDJZQSQUY3so6n0wNmbAvKyedtIGkmwI7/f++LP4Z8LQcQcQwU1VKFp2uGFtW4Fz0xF4hU+TJ4h5tS5LHFJQZesULyI+qN5tAMoU+x/XHS1VI4IrVb8inVOYQZXQPUTuWEcTSyX3OwNx+lseQIM0c0vFWaaCJqqm+GFhfeeUX//AKFP549HeLWYCh4NzaePrJG0Khe1zYf1x5mmgakySJASBV1TN7ERpp6/+5ji0d0dGJVch9wHTGSeJyeWGBKvftj0/wCDuVpNxfw/RRj9xDNrmcbnQoJJt7WO+PPnh1lRMIZgLGMONN/9Xv8ATHp7wwppMtyziDONRV6fLJI42cXs8nkUgD/3HHzPtCevLo8z732dDwumc5PhMq71Xxoqq2PWBNWSyBbbqpc2N+/1xbKOtl5YkUlwFuD039PfFXgijXL2pg4ZYpdBuw6EA2H/APthosxpSImdUja3ym4OPeWySPzjI9UrGGYVQmqKcagOrtcHoLdvc7YDnrDTy1NYt3mC8pEC7+Y4Fhq5DXpLrGopotbbqf7fpjTMJzz4oowkiyOQwJtc22/L+eA1YsQjL6WOSpFSsbQy8zSXIve25tiLKI46zxAz55YuaKDLYKVTL/qlkLn9Fws8Q+IJuBuGVmoUgkqSy04FSCwubkkD7AYz4VcQZNmkeZ5lnmbwZQ2dV4FO1Rq0kQxhLCwP8T9/zwJKopep14dtUl5P9dixSUCpm6SWRGYgFR1bb174kqCsbyaIr8w6VOrcd74P4ky2u4U4tky+slQyfu3TSLoYzurD0uD0wfRxx5lMzh1MMfmJaw6dQPfGfJzcCzL8tXLqFqmZfK1tKar6j1v9Bj6nf4555C451wW19Ntz/TDQj9tO7MOUCQFB6KB0H19cD/CLT1ct0d3c21t8rHvthHuLqJoahZoEnsJPLdGJtb7Y2nmSTlIkVm2YqD1PbbCukjF5YgxDRsU0BuovcYkDuwLrcGMWLgD8sMo7AbsPkqY3imkkTQAPk66f/OPqbN2kYxOSisurVci4wBzAjrsW6qbG4sel8RsNbAyuuth0HS3pjOCfIdTXAycid5ZNNyn+lvm9vpjWjYKS8pDyOQbKL/Qe2F3OeBgjswubqQdtP/nEkUipMWVtahWa46E4noaKKRY6GSIOpW+h202U3Gr+mD6h6en8rdV8pB6g4rlJXRQ0ZVYxo02AY33v19sfU9aat3iToCANYFgfr3xOqYzZbaGfSnLEhMRsFvtv/ti7SU1PHlMVQkwmaNGtIHG5I/zbHK6KaYABF1NYi17Xw9Senjy6bmTOh2ISPYO/S5+2JTi3wzqxzoXZvVRyTM0kbAug3C3BA7ddsQU8jymTShCgDq19PpgWsSSSoWQHSSNFibbY3kmFO7SBtJHyqN+3fDNUCMw+lm00gQyBluSthv8ATGJCY6cwrIWmQEEE7g9xhVT1slJUJDJGdBW+y9ydv640jlcSgsjJr2Ck7ge+J6QJ2Hx0MlRIslQxVbi0bC17bg4K+IZWBXcBepF7fbCqGokkkLklgp31XA9hgykKo9rdQbBehbBasYLp531rYgeW51d/89Mbz1ZWS7aRHbyWIG3cgdcAyyCI1ECgMwUqBH5re98auoESKUEheyg7/p6YGkKdBUtZp0xuqhCBpb0Hf+mCKeSKCnlQqCxsRot9vrhdIt4wGAaOE2BA36d8RwvphAQX1m6seo9/bG0mvex3DMSOZZXCDSoSw36bjGFpUSWNHD3kP8B7HffC5ecIDG6lj840bW9cEw1QpyUIAZmsT7fXCOHcZOxhFBHoRBERcm5G1z6H02xGkao8cJk0FSWQEXxo+YK/MZWGki5VSQU33+u2NXmRlKkXDkWW24t03wEqC2jGrlzMHCgN5lQ77X7j64YU0QeRY3nsgG6Dt7YXCPQp5si+U3AG9jbbGzsrTMGYWKCzja3r/LA0gTsOmiMarZQA7aTckj/DiB2jdOWbtbbVqta3piNa4TyQkMBpv97euPpfh9Lct0IUgfa3UDG0jAdTLygiGRiyqL6x37Y1NWxiEjsOugFRvibmLL8RGlkZ0FpHOx77DtjWNtczI4/dnzbr29CPXDG72RTO78wK4DN82o/MB3xqro9OqBxGWKkW3B9/bB08cVaYwmmJIw2zrY29zgeOAukaLHaIN50OxIGMVJP3yvy2ADNtq1bH6EYzNC5cBSI2DaBcgBvvgii5M5MZACgkrp+nS/bEwhi5BNQUDF9g3VMSCRCpBVRyxv1sb3I6H64lMbyxlIERtAJEjC3X0xHJTPFE5YBn2KEXHUd8D0tQDBquNbEgxsTcAfw+++BV7hTo1IeMjUqF7m6g76rb7jAyGQuWSQhrfKdrD64KqIHRLrpZGvuCLgjqLYjGX1CqDDG0lzYkbW9Pthuw6dglSVblsUI1kgn3wszCOUy6njII3uq7bHoTh/FRtE4EpIs2uNkGxNt7euA3QyyMhOoNuSR0Hvgphex+aPCdNk0vFGTpxBLLDkbVkK5g8K6pEp9Y5hT3C3ti3/iDqPDyp8Ws7bwupp6fgwSKKQVRbzECzGPV5ghO41b45wzFNJQuLWB3scS6roGcX7r6AY+xcLmp2+KrsfNavd00QEKWuWAIIB77/TGVBUXVdSgX26gewx9cOo06SA19vbe2PgGJYknte2KiEjaVckKzeW9pOp+mIACwLbqDubbG33xJIxZSS2obkE9fbEWkFA7DUVNuuMNE+CFh8xCbG5ttj4kC6gke/tiRwJI1bT5QQLdCb4jkDuFVdYANiO354xm7PiU5KPpNgxBJNjiVbmzowXTsO/3xEgj5pDudh13tbBETqFYKLoBpuB+eMKM+F83iyHiPLc2ehhzCGiqoql6SoXVHOEYMY2BHytax+uH3jJxtl/iV4i5zxHlXDtLwpQ1sgdMqpWBjhAUDqAASbEnYDfFQDssfNDAi5T7Y0qZhKrN5gTvYnb8+2EUFr19/7/Ab2oEaNdI3tc7Fd7/bBWTZLmOfV8GX5TQVOZ1szHl01NG0juQLkBRudhfEKRsQVI2IsCexxYuAPEHO/C3irL+I+Ha1svzihYyQ1GgNpJBU3B2IKkjFJ6nF6OewYpN7lf5clJI6SxssyMVeNlIKMD0IxkSnWAVJJGki1sEZzm1bxDm9dmdW/OrKuV6mea3zsTdjtt1OBQzEFjcj0Gw+mArdeYHS4CoANxIFSMddRvfG6xBjs4BP8RG1vQYtWReFHEPFfh1nfGNDl71GQ5LIkdbOJVBiLXtt1IFrnFUjDhJAp1MGsFGw6dcJGcZ2ovjZmaa3Ydk3EOacN1q1eT5rVZfVJus9LUPE4F9t1N/tjtHD/wCNPxLy3K3yvOMxj4pylyQ9LnK6mYHY2lQrILi43bHDkgPLbyKbru3e3a+Bv+kiglJCSQNu2BPHHIqkrGjOUOGe6eDPx58PZxm2QSZ3T5pwXBkkJjpaTKWWryyQqpEQlSyTaVJvpDEG298elfw++LHDPiT4gVnFFVx5wrU1y0a0NJl0EzxMVZy8rmOezB2OkWBIAHU4/IBYlZPLvq632P2wVCjBlV3EcpOoW7H648+fs7A3riqe/wCp3R6/MlpbtH72cWZxlWSZY9TmlTS04kJWOeWUKoZj5bN0Itfv2xyKizauo+EeLuMMpzDMZJM5rlOS0quHTREiw6lVgRolmLX23C3GPzC4K/EN4hcDU602X8RyzUA8vwWYKKynZf8ASUkuLfTHbeEvx2vUZtllVxXw00b0EfJhmyCoMMcRG8bile8flJuALb48bP7KzankhO+NvRO383welj9o4nFwlH+1X+z2/wAT51NXpxBk3E+XUHEkOS0IqK6poYPh+UWQllXW9mYBWOxFx2xyWD8MXhrxdxRkmc8J19RlPE1LHDmlJluZ07PG0YClQ0MosyLr3CnYkb98I+BfxHcB8RUUeVT8ZRyxZjVGuzf/AIgpWpqqpcW0xiRbx6SFCnpsTj1J4bcc/wD1CyvMp5cvy+Aw1B+EMVbDPIUKKpMZQ+VTa3vbfEMcuswTcMsfPf5L7vj0GlHBlScZHIuNW8YI5eRU0dLmmXIdJq8l0LMwI84aCW+9id1b0xnJvFrKM0raDK66BeHKOiYTilrFk583KGlY9BX57nVtcbY75JRlIZ3qg4ijXWig6tgPX7Yo2Vx5X4l5POa7LqbM4IqkojmIusmnuhYAi3Q27jFfC6bJNao1Je9a+m/rvsJrzQW0rXG/1Ici4qyDxAnjrIaWGppqe6QVdUzKX5m8qclgLabKCSN8Vjjzw54UzbJ6vPsnmaKolm00j5bqowjhxGsdujLfUSbb4H4i8AcsqyIKfM58tqZGPIpZ25kZYDqjHzrcdRfAicJ8ccMVNJIKls0y+mYMtEGBhuoOmy2DDc9ieuOeHRSw6fw+XZUt/Td7+bKz6qOV/mw33+r4CZvBHiygRs+y1KDOqenYRzCoiMVVEO7K42Iv9LYSQeInFfC86U1RLLCqqWjgzWPmwODe2iZfMNvc4slP4vZxS1YfiGmOW04pngekopGZ2Z5N3dTbULAAWv3xdqLi/IeKoaTJqSqR5ZKwzTpIulXEaDShDe57YrHqupxQg+ojbd36Lfuib6fFNyeKVLatyiZX410dVDpzvJpaEKD/AMxSOK2Bu1/KodfuuHdfk/A/iNlkZjbLs5G378IBMh67EWdSDgiu8EuHK7OEqsuonoZaumNVUy0kzIpYtZQEvYbAnFFzbwOzaLNRHA9PUiaKSpo6tZTHUBEIF5CtrEk2v0xbF13T9Qovi0Rl0+fDffevmCcU/h8EtSmYZXUxVfJmSYUmcwCoBdGupEuzL+uORcX+DfJ4slzvinIsyoZ5K8VlXWU3/OUko1BmW48yjtuMdSbifirw6lqErK2qg5SoZKfNo+bHZuhEi722674t2SeMtNWwRDMsrn5MtmFRlUoqE033IA81u/T2x2aVJXCW3oSeWnpyI8scK0ufP4rV3EP7UNXlkcs1fO+VVDAvpUukZGzj+Fftjpng9+LLjCReIqzMqpKjL8nonrKgZlFqdSWCpGjizXJPr2OOv1OQ+G/iZKWgnoZMwdro6k01QO1jazHFL4q/D3WJkeZ5XldfDWUVcyGelro9MjqhuAJlAPX1vhJw1qmrHjkS3ToseUfjA4O4o4cqp+JOHqrL8vi5SSVcMIq4mkckAWWzg7E7g7DGsXhx4XeMlHBWcOZjlc4mUvAkTBJOvZGsykHba2PPvE/hHxFw/wAGtktLktbSq1c1bLLEwnRgE0ooK2ba7HcYVJwo+dcacKZZSUcfwmWx08UtUrcuRbHXJ3DA3vgRUcbvFJx+ZSSeVVkipfI7hn34YOI8uppq3h6vmknCg/C1X7wgW20s1nH/APscV+g4l8ReAHih4l4Yr5aKJiqvo56AW6qpGr7jFW4Z/El4mZdxhxGclzsy5PSRT16ZdntPzU5KMFCI5swuxUA3OOp8Lfjkp81yhc1444WfLqeKcUbT0MgqEYlb3EbDVaw3O/bHWupzuGnJGM1+p5/4PFCevDKWNk/DP4qMmzCrWKekWCoFlZjUlCLWGwYena+Op5J4k8M8STGGLMliqL6mhrfKXv2F9vyxU6Kg8C/GuhiqIJMpM2YsxgIf4WcnVpOkNa9jtthPn34NK+nhD8NcROYjf/larzKbe52xWOXo5+7K8fx4ElDrIe9Gsi9OTp+ZeGOTV+aU+Y08kuXVGhgr0bDS1+rMNt7HYjHKs0/DTmGXU1Q+Q5rT1rMrS/D1atFIzEm++4Jv3NsUp+H/ABX8JOWDQGqgB2miZjpF+3YC3bHQ+CvxHmryXNZuIqJ6X9mxoXmmQxs7vJoAHY/xH7YpkwS06sUlJLyOeHVY1JrLFxb8zzD+LDg6l8PuGaXL8whz79pyGM/FRUyJQFh5ioY+ZgOl7gk9scV458Ms5yfJeGXmpoFcUkMXwEVVG1aZptUl/hg3MsRYatPbH6W1vinkvElBbLaV86WWF2emASWNTp8uoG/e30x4W8Slz/w7pYc6pkqaHi/i6tqaqrzMxsKykpEflwQxydULkFiQbkaRe2OO5Rlpaqj2MMsbh7jsScJ5DNRpLQ18M2W1MDossVQpSRSANtJANseg6+J6PwgqZ1m5Jq6uGlGn+NVBZv1tiDgzhzL+GamPIM2y08U+IXwEc2b12eVLvT5bqTXoUA3d0Qgkk7Hbti2cf8L00nB/CWXUWZwQZbGktVJmGZ3hiMjnyaQLk6guw9Nzj5+MPF62N9nZ9V1WdYfZtRVXt8TjFJDBNPUOC8SmVGDObBTpAvh/VqlO2gWNx5Sf9X+fXCnMcmqKSgSuWKY0tQ8caTvGwjlIfcq3Q9R0wekiifQzauWS4UjYsen5f1x9K42fnrdEqVFppGmgaVYI9JVTYnvttgKkp45aqKSndm5WxSbZtR/X1/LGJFeOSaSCR9I2IVxa567euCMuaKkoQZmkkkFmYybONr4Cg1yNqornilwy+dcOCYztClHKamVVTmNIoFjbe+3X88KuDuGZUy3gDMXT42kDNWzZfSP/AMw0bT3v5hpUWUbk/niyceVwh4AzRotSSNDoVx1Jchbe2xOLjR0cWS0mX0aDlCnooKclRpL2jBsfoSfyws27SXx+xeEtOGTfdpDPj/N5M94uq8zo6WQQTkBIWkUnQAAuq/Q2FzbEEkApIPg4GZnkImnZu24sAffCz91FmkVSWkMVOheQqTuey+m+Co5+eZK2QgSTITot2vfTb7YSnVEL7jGORopJU5zKNihNtwepxPUyGphBeyTKfK97ll6fniFpubErMV1lgSO+n1FsSBY7SgG8B6m41A9hhdHmZuwCSkb9ouATrdNQN7bD+fUYwQ0C2cb3Fk7N9MEmEosTPKySRt1IGo3H5Wx9WLqAUdVO8mxIwyTBYLDMHchnEbBQW1i+3pj5YeUhs4B1fMqE98ajmTM0jKCVFiV2uPcYloKs6BpGu4YkbbehwaZrNJEHKAVh5ztrviGET0kjo40oGAv2Hrtg9ZJZY2AUGTSPMRsD1uTgGpjMr2Vtei1n64AU6JkO8hZWK9QFGxPvj6nNPES8xEQB8q2P53HrjEMEswkZU5jdQCbBff3wbHSPM6Dlgkr5wOgPrhNJRNMYJWWnUKoI2F7Wsp/niYZhLSq3LXWpO236ffAVNTPTMwlX90D5FBuW+/tguSoCRaH0tqIuANr9jiLXYopLkGjqDIpdyxdJLgEW69j7YOiijks7MqqTu5GwOBGcIOVpDXN2fpv6Y1atenKDSdF9gRcC/pgSgDUTlF0siyFinRmP2NvzviGGJXCl1DtvYt29r4LM1NVLEGYlTfYHTYi2I0CRyPOEsiNpsxuPr9MKkNaIjA7RvCmk3AN3N7m/bE8EehQ5KAKLaNVyCR+eIpHh0M1yysSybWC27++Po66MR6EIAUX1+v2xtAymkZRRChsulr7DqT642hcoZiQLAalJH+/XAVXViYLIt22CqQCLE9L42aSV4URRqVpAXuNzYev1tgaTOSlug6BoxDErqCzDSbG+oHr3xNAvPpLkMoF1uo/XEVJEQshVA7jcqOq4PNM6xCHkh4ybsWJG3cYVqhoy7ECUgNIYoX0aTdlA89vXftiRYwkSnUHkX5tB2H1vjaGj0qFUSNC40Bgb2I6E+uNYqdokkSXbW2pT3H3wKKWjdYI5KhrBTCRuG2vbft1+mNTTvKsbxglLnUx8u3X0wUP+XQ90JJBsCRf6djiCo+MKqwkEcAUjTff6gYHejWiJ+Z8K5GnlqeqtYnf1Ixlow8qyxhnaQ/8AxAt+u+MROUV1cFrjSC+x1WO9sYaok5mt1VX06VuNr9Dg0a0RvAIVs5bc6dtvfqMR09PTpKJTG4p99i5Nxfrb1v3xuvNEg5rqpY39SQNsaRNKZVOsK8ZJUKLg4DQVJImnRHHNQ6L23tvb0Ppj4gU8hKkNGuzCRb237fbAdUWkZdUosx0gX227fXEpWV0LER20kBnPzD6fngaG+A+IgiStkEWt9b2a4Ci1yf6Y0qq8RqigBiGBMY6HuR98DzySmmJ16bNvfpgdY3kDldLSKPKBud+pxtIqyruHUtXpkeZE0ALbQRuLe2JHzJ6mbVJIwCkFg42a4wtlYszhTa/VibsSdv8APrjBWQfDlRqaMESM39sHQvIbWhvLmsk0kyyFY9YUG/zG24A9O2AJM6ihcBACRIAWbckev++Fs3xjEKqopZidV7MPf8sBvBJJK0jai19gg6++G8ITxkWo56sFxddKtvtuL/50xlc+MMgLSkpufXbFZioJpg/OZwZN1P8Ap9METU8xi0uFGsWYKQbE4V4o9x/xHkPEznQiMnRibqeum/bEU9bBIUENowbg+bt1sR1vhaIGgEbMw8qi6jf8saiKVX0MwG/zgWNu18bw64Hjmt7n5mFy58m7D+EnEkUalihuUAJ0n3wTxFwpm/C2YCizegqMtrDEs6wVKFWZGF1b6EYXiUglr7MLk6Rtj61NNWjxPiakmMaV2a29xbE0IVh59RkvuVGxwOosx8+tW6g7i2N42HLchTuemrBC0iSQFWAUXIOwtuBiNwVA1xG97s1+m+JNdo00r5LWJ73++I2m58x+YADQNPfGNbNw8bMxZ7q/8JHpi/1fijT13hDl/Ag4by2KWmrnq1z2zfFuDe6E9LdvoBigwloy1yLgbAC2+NpkUMLfKBsQbWv7YSUIzq+zsZNx47kYfSVDpdd7qOl/fGyvcWj8obv0GPnXmOYbEr1BsL+mNTZWEfZPmHqcOTN2mkiAbdQRYbfy/TEUqa1DMDc2v7n6YlOp4yBJY3ta+wxsoQuAzCQ9djYD0xjGrSBVCrYDod+hxlY7yWL6vYDscGZTl1VnWZ02XUac6qrZkhjiUC7yMQFUfUkDDPjjgrPPDrivMOHeIaF8szqgcJPSyWulwCNxsQQQQemF1K9N7hp1ZW7vCbKbg36emNg3NW5tp1AXPW4GNmIOi6t67bjGCFSQG4CbWbtfDAGlLnGZUmWVOXQVs9NQ1JVpqVJCscpF7XUbHv1xtEi8uNmuGZrqP6fltgCON5JSVt0tcd9/TEzMWJ5RY2Fyh/zb7YCSTtIw84Xkyb/izK6fPzOmSmqT9oSUptKIL+cp72vbG/G1NkL8W5kvDE09Tw6lQ/7Plrl0TPF21j1wgip15VyCjW1WJuSO/wCtsQxygS/vQ5AO5v1OF0e/rsN7UMY6KKHSdBdyQFRd9/X64EqaV6WeZZ1aCWNvNHMpV1a3Qg9Dg3Is8l4fzqhzagnFPV0U6VVO0i6wsiEMpsdiLgbHHRKTxxo+IuMeL+I/EDhmm43zXPaN6dJG00q08thpmAUbG3pv74nknODuMbVee9/31GhFS5dHMIC7k6CpCAE3Nr+wHc4zTS2ncCULGV2DG5xDC7RFSpVdtk63udhfG8wduZ5gdJAbptti4gR+0ZQoYAshIUBtif8ADhxkfHWb8MVLT5dX1eXzKR54ZSpt6ix23xDkPA2fcSZHmeb5blk+Y5XldjW1UI1LTgjYsOw98JlkkJ03UWuCbXG3riacZNpPjkapRp+Z6X8OPx7+LXAT00ZzmPiLLVBLUebx67j0DjzD88eluCP/AFReHqxIo+K+DKzKzaxqcqlWZBv/AKWAIBx+aXMQuwV9B2B0Mbk4ZU7Oiya2upax9R9cTn02Oa3RRZZx3s/YThT8Q3g/4w5lQ1FDxxBl9VC4kbLczkFG8rA+T5xbqb2Db98dO4xyx8y4VkqMseqklDhmkyXRLMVAJ0od132v7Y/CitnQTMkkSsALlSL/AJYtPAXirxV4dTGfhfiPNslVG1aKOpdEJ6fJfSfuMefL2dCmsctN+WzOuPVtu5b/ABP2ho+CZMw4eoarOYIpK5afmVcbIDobSLgHpfr02xSX8NaLizKan9nw1WUzQOqzUwdWBJUFRYEgAgg7Y8N8E/8AqXeKvDZhjzb9k8TwRt5mzCm5c0g6WLx2G3rpOPQfAH/qUcA1KcrO+F6zhh5pGllky8LURPI3zMbWY3+mJywdTCVqmv76lY5cUlSdP9DqFFwVxvwHBKmRZn8VK7WFNVy6iV2AuGJJUC/S2NaHxJzvhanrqjifKJJ6xoEpYUoxblRhmJIJ2a5PS4tYdcN+BvGjwr8UOK6bNck4xyqSWJTehqE+HqeYRY3L28gH8IHXfHRuLp6OnyaKfLqOLNJJp0iCxxGoRtXT5egPTUdh3x5WXDjmm+ox1Ldbc09u39R248s4P8mdpO/j/f1KJwdxrw/xJn9RmmaNHQxyH93Q5mgjleBI9iQ2xBsdsBUfg7w/xLk9NVVDyZf+6mrI58vYw8tN3IW21hqtizcWeB/BubwNUV+Q07FCCJYYgXDWOyrbr2t3xUP/AKOyvEtZwtxJX0lBPTFVp4XCxzxnYoVIOnv8ovjn/DJOUcGSn7vyS2/WvIbxHs8sOE/5/cRVn4fK7MqOgqqGppcyllh1tDma6SdtQIkQXUgdbg4UInGfBWRQ1sdZXx0MhLCLQ1fEm9rWALqvuBi6ZjxR4hcOzyrU5LHU0ywvAsgJ1WItruux/IHBlF415RBTJlSCfLK5qFqKmDQMy8yxGrVa217726YZ9T12C3KOqLaS77eboXwulyJaHTr9fIq+QeMCZkixZhkiVc0Y1NLlkwJKk7Ny3IYbdt8FZnB4e8baad3pYq1vkgqlFNUhvvY39wcXLMsm4I4qhoqJKXKMynjmpqWkq5VV3SNQNZDDzA2BwJxD4M0GaZsaTL8wmNHOZWlyyqgjqokRbbqz+ZdyNr4pD2lhytalpbbX0EfS5YW4u0q/U5Lxh+HOpqaOalyzPuXT1sao9Nmic1SgbWFWUeYKWA/IY4Z4k+DvEmR8MUVC2Q1UdPSvLI0+XyfFRuTYXt8w2Hpj01mHhrxjwhWUdFkQmNJVO8dPJRVS8qwHn1QSX029VPcYjpOPs/4feejzvKIc0mpVCySRhqWS1+lnujfUEY9DFPDkSlikmQm8kbUk9tmeMc74ch4oz3hbIMnqElgy+mhowrfupgxfXM2k2YXJY39sdU4S8UuNeH824tzegz7Msuy+COWajy1pefTxsWCQKAwOwuDjv2Y1/h74g0a0+fZXT007fI2Y0aoyg/6ZBtf6NhLW/hpynMaGok4Uz+bKIarTqSmcVMD6dwNLAkC9uhxVylw/1BDQ92voKuEvxj8Uw5VlD8TZNBnJrq4Uka5YBHKRsCxV/L8zWH3xP428R8L+M3ClZRcG5zk2Q8UpXx01Qc/vQx64yzGnEtjGzsASN7EA4QVvhHxpw5WZW0uT0Gc0eWhuUuWycuR3F21sj99VjYHtjmvFXA7ZjDwtlmYwSZQnxklRmlPmURjCuzKqsGI0t5Fbf398ThUMilVPzX7l5Q8TE4qV+jA6qHjLwzy3NJOIOFKnKZ6+SGkp6/KV5lIyagWcVEZaO1wOpBN8Xrgbx1TiTxBp8hklpcyyOAsCczpg6pBBGXeQP7BCR74ouXnO+FaDNeIMset4fq8zzX4aj+Ccxhd9RKqDp/0ixFsNaykrZ+I+JWr8py3MDldFItZXRxmkrHZgqMhkg0g62YjzAjHofjITvxlZ5b6DLia8JnSeHfELgDiDL804hqKGXhyfOnNFUV9L/wAykxbzs46Mm2kE+4GLrmfAeTeI1HwdS03ElNX5bk6a5KaGQNO8ZOrU0VtV9Nh9Dtjy43AuT8QQcJ02U5pXZRHUNO0eX5ovOIPMGv8AewjvpsCy9BhlnVFxBEc/4hpKmlrTVlKanqKIio0KrA6VdfMuyKNwLb4MOl6eU9eOVMnk6nqI4vDzJuPo2v8AR1TxY4bz/KcuXNMyV+JMvikipqHLFimgp4CCSP3ZVbKiLc26kjHMswzgVxaWSGCGYEswp1CjUdgLD0xY+F/GTjaDiTh/hfJKyszbMGo0ElHLMJjLUMrSSKNe/lUqOvY4tlXxflc9VNSeI/hyKIOh010dM1Oyt6lgbH88XeGcdnv8P4dHKskJK1t8V+6s42kIqauOm5Eco1luYslzqP8Aqt7/AMsNqRDWoylQTzNOm/Xe35Yk4mp+HKbO3k4TasGVOA6rWA8yJ7brfqwv3OB6OfTLCF1KVRmIB2vbucSaa2CxP4mAS0mQ5TS3k+KzSBWRWt5Q1zf1HXHQK6oRquWrUKjM7MLA2C9hjlOd5muZeJOQRE6Y6CCSre+92HRfqTbFupcx/wCWKKxkBZRdjcHf0xLT77fodE5JYYR9W/2/kPzdgsccJZOdUXaxawuPfpg+lqGmyyAuSxaPSTtuduhxXq9nFQrLJGI42A3Isd98b0GZTpSBNkCEhQuyj6E4bS+URclWxbqeGaNn5qgC100NuQe/19saK7SBlUhbGzgt/m+EsmcNJLCGc6yQAdVv8+uDhXrHJqRb6+rFri/3xlEFoMlkJCrrDBt7Hcau9vTtjCyfEAM5fURuG2A/L6YEqZC3L0HQIjqO974jFU4uoYK99Tajt6/4MGqM2N1aRLpIykkXtbb741goyJNfLRGBsTYDr7YCSt5SsNRLne9h8v0wRBXPJFqVwSdi7DfGfBu1jjk6JNLK5B2Y3Fh6dMApTLFK5ANr3uRbUPpiOLM+Vuyli9zcmw274nTNDJPpLDUVuxY+21hiOh8mtBtPExV2LxoyCwU9dP1GC4Y3Q2IB3G/c/TC2CcoSeZtck3PbGUzF2byAaVIuRsCPTf6YV47CpUG6rIHK2ZQT19ept6/TATqZGXSp5agld7E/Y4yKsPMrOArkEeXp9LY0NRGiiNQpJbbWbb3/AFxJRoOs3eMuCDIQpOgkEX3ONlg5FMUKXsNIud9XqMas8SvqCxtclibXC/fviemdWkO1l03LDr+eHlGg6jbzGOKPdlJGz2vfrYf3xtJTsCQbqltiBe/rjZJITIgR9QF1sOoPp9cEzgSwBSVOkXGk979D6YlJUVT8gMO00VnU2VdmK/lt27YHqYOaItAMTEgNpH6HDKNQ0QjY7kfMD0+uNlUDlswXQvUDY79RgegHuLYKe0MpIKr3B26emJPhHjhKhV0izAm5Pfpg9olsRGy6WNzcXvjabRcIykgHSWvbbAHVpA9NM0O6BlboSO/fBZmk5WrU1ztcm5B7jGw0oGPlV1Ng7G9h642acCnSO7EdfKoNjhJJBTMGOYoXKgXW5ZTsQO+NpQg0uWElh8m5sfX6Y3SpjkjCtPYJ3K9v74k+KgV7oQ5caCGW5wq9R7ZAZ5GhlUldNyLd7W6fnjQ0mumQajIT2PUfbEU7hJLXsjbE/wCrG0MmtXdGuB0ZQT7HBaVGtk00pmcuW6WuANx9T+WA6gussepSGY9je18MNEaxtrFlO7N11fXA5KyRDUwViLBrbbYUbegR45YGAlYJqBtrHzH2xFBWkoXRw6i5At9tsT1EReoijMglcrcnso9MfJBGsZRQFN9NrX/z1w1IybZho56kgqql7C4YbA++JJCWEgMSKy+SQ3uD6W9caxH98rDWqKLf9tz6e2IJpWjVjYlDuT6m9vthTWgGE1Er3ji58nM0qgNzIem+Lfxjw7BlJTRTcpICiSFnJILKCQfXc9sXThPhtIOG8kzOGn+IrKxJnHktcCQjUD9BhlxiI8/qa9pURIVtHygoCkgAX98dkcdq2czn72k4NUVY+HdoBYo1ja5H2xl5ZGKh2B/iBBt9sWPiDgSsyZIp4LT0wCgmO+pSf+09R74rppZI7rbm3Pcbk9xtibjXJSzVldDHsVRWCa3HUEb3xkuRKiSAXj//ACKffb6YOjp2MAR1/dBhZiN/y+2NXSxIKcyO+nUvUe2ECCzyOskZUNYWOs2sCT3wUXSocGKTXJ0IG+B3ptXMihbUzGzefoe9sMwm+gFRpZbH++M+ArkGUMrXKHWR/wBMnqPb3xFNIHsysYutlwU1PHJI6owJF2O+2/b8sbUeVSVmYRxwG7KDct5VF/S/8sJHko9uT8xeIM9zTies+PzWuqcyrBGqc6qkLsEUWAuewG2FxS66CoULud7WxuxDm2ouwA6Htj6ORWia7aZCD5jj6VKlR5/JpfYItjbewFjjMY3LHzNe4A9O2MhyFKltRtdW6AXxGxDAFpbsNiB2wQokWVSpB6A9+uN9C80Frhd912xGuguSBcEabncjGFLcwIw6WFyLYw9o3kazhgQUb/TuQcfaTJYm2q9jc7WxffD7jzIOFMi4qoc14NpOJqzNaL4WhrKmXQcufVcyqADc/QjFAY6NyoDNt5juThYuTbTVV+oXVJ2SEGPSAVe17E4xJJpe5sEYdxe5xE8tioYEMR1PU4whKhVcC4I8wPmuemHpkgxpbBbm8fRr4wkZmPotrA2GB3Jlk0k3tsW6G/pgqMsNiCQDcm2/5Y1GJqKaWknhmjkaGRTrjlQ2KsDcEe4PfBufZvmnFmZ1ecZnXTZpXzEc6qrJS8jbW3PfYWwvmi1qI0BXfTqU/wBMRu+gBWVvKdOoYTSrvuYljplSjM4aNrSaBEWIe1r3A9MQgoVUFRc7hr7Y2jVZmVVUsQdIC7kk+2NHYhtJspGxDbaT/m2GMbOXUdPMDv2J98SRzPLIpMdy252674+qgGiAdSAB+7J6E4YcNZpU8O5xlmbwRwzVFFUpVQpOmpHZGDBWXuCRuMB3WxgZjqjaNShZgEJZrd/09MRNA3KEaEeTcg/zw+4/4wn484szTiSspKDL6zNKhp5abL4+VEjEAHSnbcevUnCQTssdjHpGnQCQN/fGjbSbVMLST2BFTV06Dux/PBRBCFWXVHcjcAFd8ByTjXoYeu62GJzLzFXTv79NvU++CAnhkigCSql3v5S3U4zOwne6yCOx6FbDrff1xCp1WBQ6LjT3P5HBK0fNTzK0d16279sYwdkvFWdZHR5hleW5jPTUWYhY6yGBiqzqDcBrdcL43WWWU30OX2AFhYDGqUYLlYndHVbnUbb+3rjD00ka8xn3Ym2kC4/zfAUVFulyFtvZstGYZzk1dwHlGUUmRCLP6WsmnqM1WW/xMTgBI7f9pB3xN4dcK03GOfS5dWZxScPxfCTTCsr2shkjUssd+xY7Yp0czwFbMR1IsvX2wcXYBGcCQ2OodN77YnocYtQdD6/M1zCA1EvMJKIdyN7/APjBVVllfkFR8NX0c9DO8azLFOhQsjC6sAeoPrjWOphqGkJvpW+rV7/74Z55xVmHFFRBU5nmU2YzUsEdGj1LXKRILIgPoBh3q1KuP1N7rXqImhaysd1YghD3F/XBFNB/zOpdTIBYWO1sWjIc/wAsynhbifKq3h6mzWvzWGEZfmDyFZMtdJNTMoHXUvl7dBgXhjLsuqc9y+DN61suyyaUJPVouswIf4tPU/TElkdu1x+v94+RnGkmgOjmlgklcS+dLHTfci+9sXLhLx2484Ar75BxVmeXDYaIpjot6FTtiuZFw03EXFlFk9BV06vXVa0cFTVPyolLNZWY9VHT88AZll1dk2eVlFUKJKijqJKWRoTrVnRiraT3FwbeuG9yXuvyuhVGUfePUHDH/qK+JOXQSUnECZfxNQMuho5YzDLb/VrQix98egOAf/Uw8Oq6ioaLiLh7MuHREnLV6YLUQxbWBHQ++PzUrqKbKqqalq6eanq0PngmUoUuL7g7jY4gbmm3lUFtgATsPfHNPo8E1q08+R1Q6rNF1Z+yHhP+IfwlzfL4Msy3xDoMwrZJWkkNefhpGLncBXsAALbA/wA8XfLeFo+KY66ozGjpJU+IZqKYshfk9AdSbWJuQLkgHH4YzQSa2KEBNO726H2GLBwn4wcY+H4RuH+LM5yp1OoClqn0gX6Fb2xyy9n6WnCT27fEpHq071xP12y3wp4fzbiDOJMkp6nLazL5hCMwW8iOxB1Wv3Hex7jfGmRZVxtw/nte8HEEWeqpEXKnUI8ZtfT03BNjfHgvgj/1FvFbhqGH9tR5bxTQWCtHVQ8iZu+oyR2N/cg3x2bw6/8AUj4Jy/THnHA2Y8O6pGmmly2oWriZ23ZjcK5/PbHNk6PIqc0pV9b+PJeGaLb0y036npmg8Q8/4XrfieJMhn5saSRIaVWYEOwYgHcA3C9x0w04c8W8i4nSvraxJqOnjhSmC5lCFQkHzdbjY2374ofh3+Kvwi4jy6op6DxAoFrKqSaVIc5VqNw0h+UF+lhYA39Ti5VXDmV53wrC9OlJm1UIkWSWjkWpV2JGwdDdgB/F6C+PHl0OKNe64tKtt6v7noLqZ3dqSv6jSm8PuEeIaTMZ6FUp6RqkLFNRyhwSLayNyN2vt7YqTeA4ED5jkeY8nkvMyTSyvTs8aepiIW+oHt0tjGf+HUPDkeWzUWaVWUQSyLBBHHIUUu5NgNJVut73viCeHjrI6KjpYamB8t08mGEoJJQb3KqxKnffrq69cZYeqw7Yciktlvt8fqIpYMi9+LT39fgbz1/HXCi0r1cMuaUlREmt2gEyRs3QNIpDDr/pOI4/EzJ62eoy/PMmICkCbcTKvpdSARe/S3fDMeL8q18SZtkE+W0UUqu7K4YMFB+VbA3vb1FsO28Q+A8+pq3M82koKyjji5MdNVx2aR7ljZXUEn5Rt6HFfxeaDay4tt9/RcfUT8NCSvFO3tyUL/gPw84vredl8seX1ayGSMQTmnYPfY8trAn7dsLM28Ds+yuDN3yXOaHNEr3RqmlzSmCGfQSwXmpY9WJO3pjoWY+DXDuZw8PRUhmyl21TSR0jBoNLAubo4PqABtbFfPhhxVw6lXVZNxBT5hTrOI1ikLUh/hXYDWhILWvYX09sXj1XSZNpOn6/ElLH1GP/AEzjGY+HPEvDGe0uZZhwvUUUWXUDwU82VOKtBIUYKx6MAS7E7E9MVLhDhdaQZFTjNqWCTJKCqrZKOr1Q66uW4VDqAuR5fXpj0/X8W8c8H1ktBmXD3xtPAUEcq/NLquFbXFrUfL/EB13wozTj/grjMywcScPmJkbkT8+mWqSJ/Qum439hjujBZFeNvfyZHxmnU19UeeKWbPvDqp/bc+XiKtyjJKcx1ZA5kuZ1clo9TeySAWHZR646Un4oM0yV1yqsjp+JqabOBk8CVUIDysqAu5a1goYkWt2vi5L4McCcQwXyPiCSlAmhnSnpa4zRLJGbxtypeljuPTFbzr8K9VBmOWV0dXT5tBQVNVWImpqWeeomBuzsSykg2IsRi6lxrd/E5qTvQtvQ1g4+8JeO4lmzLhKbJNdNPWS1VMRy+VFJy5JbqQQoY2Bt3xvH4SeH/Ekjtwxxmp8t46ZpVY9Olms2OaZr4IZ7kuTZrl4yzMKVxllFliSzxiWFtE/NqHZ472DkCwHpvhlNRx1PEssyLS1dEk9XXNTctFULDTLBTIy99W7aR364Z5ae5NYYv1+VCTij8MnE+S8U1WZQTQ5olTThYkjuhVb33J2v98VeThfijKZ5/jslqY0hffQmpr226dth0xf+Ev8AijIqTMtWZ5lFTxVIp0CIxjkVIGlkJDbHoqi1uuLZRcZcXVE1NSyvltUrB4ubV0QF2RlU3YHbzawCP9BxWGWKu2mRnCc6VbI891VZy0ZZH5Uyi5RwSV37jscbx5s3KUu2ldRDIR1HrhD4iT5hm/FmbZi84ieecs0UZIiUAAWBv02wHSqzIplbUwZRsSAOw3/piylGSuyTxz4aLfLWsEQkhQGuGG5AwTFnTOGbVcgWNgb/AFGK4+T1BGhVDP2HNO9uu3bGaCklhGljIQpGsJIdt+n1wbh5kdEr2LOubLM5QtZAL3J3GCf2lJJKf3t9SACwuPvioiFI6ySCRZ0uT5ln1d+/lxLM6UKahJLMFuQA43+nv7YDUXww+8XA5gQpQ2uTptYAXx9S5rexLkupNw2+og/2xz2sz5JRqFZKBGSiKQNiOn1/PE37YeLlD4h20qbFbLe46dPXBUYg3OivmjReQEhQbtfsLeuJVzSQoitCtl3MgG/tjnScSRoYkZ5k5i+diw2t2At3xmTi6iDsWrHSUj5LjUcK0kGpHSVrGliWFW87eaw7DGUzP4eNZYy1xsV7r/lsc2i4+oaisWI1itOAAWCbAe5XbBtPxcrSIhqkLbltJufbbtgUlyZ2XZM4Y6js42Uubg2HXb3xLFnLTSAlbEfKbk3xRP8AiqB5Vj5wMofffbpe5GD4uMoEf/qRhwAoU9FPW/XG90Fsu9JmXMV44vNqJvb9LYK/asoDMQRId2S/8jjntNxrDMyPzKZb7rpfYYKp+JOZAkkrxso3Vg4N9+9+mFkkU1Mu7ZqiK1wInNgF1XOCFzVpjqdrBABa235d8UmPiESTqE5T6iV5jOp6dR7df1wTFxIRNKAFYJcsyMoG/tibimbW0Xds1jnS4LMNrqNr7Y2kzhlazMkqoNKrfY369PTFHTisQKBoUuV8tmU2HW/v2xNHxQgeQMqhiBckja/uOn0wNCobxC5fGjltHGedpBYFzbElLXl4GcqoQL5g567jffFT/wCKYERi8DApcAm1wO98QJxQgiJSmkJ2Go7jc/yF8Lp9A6/Uu7VZWQFWCKuxLG5P2xh6tiF1uGtcGx7Yp0HFKBzGYzI7EiPWOg7EY+n4mpoiyO0sTr20i5BO17HCvGn2Cshboa9XVfMQbnqeuPmzlxKFjBOgWc3sftihT8ZUkc4AWQMkdi+k2uPTsb4FfjKnd2WNnV282sRkC9+3vg+FtdG12+TolNmLSNoZWJa+lut8StWywRLpLAnzdbAHpig0fGcM5ZNbhbhSvf1J/LBc/F0FQpWRlSM+RdIOm5GxxtCrgKk1uXJM/meIgh3CkEgr2xJ+0SAJA3M1m+lhsD7jFHi4kyyEqZaky6rK2rdDYdAPTB9NxVSGpLCwhAuL3J3HoO+F0R8htci10M6Sv52V2NyzX79PyxC2ZcmeWKVtragenX09uuK2nF1M5QR7CO9zosLHpbGJs+pDrWoYOD0Hax2GFUEzJy7Flmzd3pJSvkc7KrevTtjFLXGR3s2qOJbFWHT798U2mzaOKRlle63tfTc9ewx0LgrIYq6eWtqJAKcKWRZVsen+nC+Gv+pTUz0xwR8Ll3C/DUlQI1enygOQ19i4kNwD3sRjmufK/wCxpKtGZ2Dc7ync3bYWwZmXFcbLBqc08EIWn0yizGMIFCDe9tj+eETcTQT0FRCrCNZNo1IJCC+zfXHTFpKiVO7MwZrd6fVM6kr5opDe467XxFBSRSLLXLDDAw8wNthc7fniuVeZFJY2lnBjjOtdW5G3ocW3h6BazKkataFQ7B+USQSO1/fAkkUKJmMsrzO2gKeZdtFrH3A7YhmmjmdTEShJBIJt+mOl1nAOQ5hL8RHJPA0h8wV9S333G+2IofDKhhiaRKrW22ygd+4vjn8Jh1ryKAcokqYzPFEygtYE/wCe+C8o4fnzGJ5gwjh0MyayBqIt+Qvi4TcP0NPzIZZpKaylrq4Ykf6b2sCbfrgYRQUgGiohhQAaIy6gBbX37YdYu7MpXuiPLcro6Cki+MghkqEFwFW5fe97+mJHzPkuZUpqeFHHniQb7dWxVq7iSGLMZ3HLcKulVWQH6/bEEHEtHoaYO7Oxv/1ASfaxw2iI1t7n5XCxVhsHXoD/AExHzA1z8pUWII2IxoZiWIuNLd7Y+i+UahdSLXtfHterOdokVdWw30i4UdhjUroXdRuLkN9e2N3NlNyHBFgf9++NVVgxUmwA27j2wdgEiMukEIV3tpIt2xh/3QVtW9iNm6Y2gilJIMhKAYw2kyNeysQPv74DrsY+DBk1M25WxY7WtjAN4r/MdPXuMapGo0q8huBcH1xumlFATUEY/c4betjEIGpYywuP+4b4lgKymwVQQTvbc4+MLISxJsTfpvjeEBbqqm6ja/Y++A2Y2iVb8w35gNyp/wA3wXHGz6iHQMAQVPXb1wCkmxUmzf6vpiYyJHd2LBARqY+UkYDvuYuHGHhhnXh9FkT5sKYLnNEmY0y0tSsrLCTsXA+Un0OKtUOoVlEYZhsW1dftjeTMmnMQmd54woTdiWA7AXwLIlgWI2BuZOw32xOKkl7zthdXsafESKWMLctl8y6DpKn2OImfWAzMGJYlgQbk264yDzNRS2gte5HT3xE7ksdzcnym+KJWAmSWNWXVYhQbY+SqmeUNqYLsAQbY0ikEJ06S8lj16HG8UT1ZRA12LWUAdT6YNGJDNqYizOqHqN7D1xu1RLOiqhIDsT5xscR6zBKQTy4ybFSL41ZEmnsxvtYADoMZUYxNEV1Ib60Niw9MYDSQLGGDEEEkld7Y3aIxKL2YHox64+cSXuSzdFAbt6DCvkwbFJfRI4JCHa22GmVVdNWZxT/Fo5oRIhqI13Oi41WPrbpiuLLIVFmZnvun8IOGFNNMoC7IwFh6/nhWrVG9S7eJcvDP/HedPwfHOvC5lAoRW+aXRbe/3viqSwxyBgDpQ7lb297/AO2BpqszUwsQQD064w6COSIqdGpRdXO/sfphYR0RUbujOWp3VG8NDPMj6UtpBN29t8ZWkm13bVGhABdwQfX8j2ON1lSJ31XvuCSbA+2Lp4geI1Z4kZzS5lX0lFRNBRQUSU9BHy0KRLpB0juR1OFbnqSS2G0px53KQ0emFQt9JHmFrAHr174xFKqDVy1bYeboL++CquRFVRGAEYbBDe59MfQx6mOrQdJA27k/yw8nXApJFPG1QHsbBQLHbB1IykKdQMgNz227YZ8UcIUvDmScP1kWeUGbTZ1QGskpKR7y5eQ5XlTX/i2vhCsRYKdSkW0kDb/zgQkmrX9rYd2tmGF+XI7hg6D33BPvjEUxeUy69LRvrDFtwb3v+eNKXLJKxnaKKaYqDKeQpZlQdSQOgHc9BjR1REY3HQeYne2DSbF3W4bxBxDX8W59XZpmtXJWV9UQ0tRJa7EAAfoBhv4g8TUXFfEM+aZbklNw/SvFDGtFTMWiVkjVWb6sQWP1xXYYmEZRSCwNhc7HEjoIU2IYlrafQ+mF0RuL8lS/T+A6m7T7jfiibI6nK8gjyWkqYayKiP7UkqGGiaoLkjQOwC2GNM64Oyk8Z0eTZFnMOcQVZpoIa6RTDFzpNOpWv0CsSCT2GFQKsbOusDfftj4xo8l2NyW2AO+3S2AoaVUX5/rv+gzkm22RZhw60GbVGVlmmqIKl6UCnbUjurlfIR1Fxt9cZzDIswyPN6zLqulkp6qmYpNTTpZ4j1IYYLiRomSdCTJGwlVvlI9PuMOsr4hzRavOcxauaeozWCSnrZqhdbSq5Bbdh1JA3w0tS48v1B7rXkVGTKjI5Ia5YWKv9MNMh4hz3guuMmQZ3X5ROCCJKGpeK+3oDY4cSZiJOFafKloKQGKukqvj+WefIGjVREW/0C1wPU42f/hSv4lmD/tHKchNO3LG08vOEW1zbo0gPbYHGcudS23/AL8/2BVcM6Rwn+OLxf4ZZUmz2PPIVBITN6RJTa3UOLEH398de4a/9RuZnok4n4VeSOFtevLKqwDje+luv0v6Y8hfsuifhuprPi+VmEU8cUdAqH95EysWk19BpNhbqb4nTgfMayvno6X4aslgy/8AacjQTq6LDyw7Etf5lBsV6g7YhKGGXMS0cmVcM/R7IPx0+E3GE+XrVZrLkaIrc+nzSibTKxG12W4Fut7b46Bl3EPhlxxVtPFxFkFTQVKRLTRxVMY0TqWLEKelwRufTH5G0VBUvRxVEcEzxVGqOJhE2iVh1CnuRcbDpiHzxTpZWUrYlgSvsRjmfRQbuEqLrqZf9o2fsT/9OZKRK3N6DNKykazgfDzM5eLaxUAlQxPoMRmn4x4abKEWqmzCjpjNMtFMFZ5mA1AuRYlgSD6XGPym4a8W+NeFCkWTcV5xQCJrokNS4X6AHHWOGfx1+LXDMkBnzqlz1Yj5EzGnV3AJFxrFjviE/Z7e6pteaKLrF/i1R+iGX+Kua0pWDPMnaVpqoGsrYW0iwHlXlne/QHfqcT5vxpwVxRRywZtT0or6p1pqWCupunbUWUbdTY37Y8ecN/8AqOteGl4m4Ep5qZav4ydstqijyS6r3s19jbpe2Ol8Ofjf8IOILLnQqsonkLuVqaI3DFiVXUhIsBtq9ceZP2bKG+lpryfw/g6IdXGaa7ep3Wfw14K4nlzp8nzQR1CBOXJFMszRyWOrQG6DSBtfvjeo8PeIeH4aioyvO5JIqemWWVJpCpD28xOsFel9gcUrhbiDwq4tk+O4d4uolmjCsI0qVQozeUixsWPrta2HdV4bzplKUeT8W10NPFXmsaKGsMwqXDeeOVmJ1JvuAbAWwlZ8bpZGvNSQZY8U1ahv6DF+IeLuHY+ZUZYmc0zjmNUQKY2jFrgtYkW98AT8ecIZ+tLT8ZcHT0DtMYzJXUoca+vzLYgm+xO2LDWZjxvyqdabKsqzKidlWvhZnhkeIG4EdtgbgdQcDf8AG1XVpQJnvCUsQDvU1yCaOUiRdo4wGC6h03xfx8i30pr0fw/2K8EbSbd/AURcBcFxVEUGQ59X5DIdcsaLmDKBfqpWa4PTpgiv8HM4rMvlaDMabNIOXZHqIAj/AMe+uPY2MjG/vjlv4+cmzniHgPg/Ncly6ObJIJ5WzBqKUGSlkewj16dwo33HfHlvhKq8T+FqSLMMl4jz2koGdom5NRr0lLXBjLbde43x2YcT6mCk1v6onkl4EktR2vjz8IvGSC+UiLMadVKmJnux79Ra/QY5dxj4YeIGSUc8T8I5i0rtFY0URdbL1N+2Ou8G/iM8YokSNavK8/gSwda+gVJfUBmSxH1x1bJPxOcUKqQ534Y1Lb35+U1t+YbXtpkXYd+uO38Plgl7t/Bnnvqccm/fr4r9zxfHmRyqtVKqGrp5kJ1CrgZCpBsQbjEtDxVBBmGuR4y7g9DYjf16Y9v1fjZwXnsZHE/A2eU0LEKyyZbHVj6XQm2+KB4m5H4J5l4b51mfDuT5cc+WnYQR8p6eoimJ8t0YDYflhWv/ANRa+xozjF0pJ/B7nlnM87pqaaColikIUMfK13IPf3xWqzi2I6m5hUtdtEiWPtvg6skekrmaGATKq6WWRb7ehH9vbFb0wiSVfhlikQlgQL229DikUkiDYXl2YSCfmfu7SSXANtx6/wC+C8zziSeSKNmAZtht5R6EWwkpY2ppYXVNUyodJJsALemJJ3K+XYMFsHIO1/T88VSIth3xn/MPKix1DhrA/L9b40aaKea9gGsQbEdT7YGUqBFdixKhhpNvX/LYipIZmUSLErNpJ0t0674akIFU1RBTRGJ00Rr3SxO+9v8AfGgkQNId4ygDJ3LbbXxGyNUQaAjEJtqDXsLdvpgWCUxySBUDkXUMTsE6WAwaQbZrNmLTQyMAQLBrBvN743/bEMtKuuIxs6kAubkk9Dbvj4LT2j5SGxK+ci9hazX++CJKJJVki8jIjWGlbEgdbYNWa2DUddFNIIEdTrPylNNv7YbNnctNEFhrNAsVYR+YH1AwskyICM3diNiVjPm++BJcpWCOO1QwXVcaOg26EdMPpRrZZvjSoDfEyBTHsFWw1X6n1wHNU1LRKY6nVzBcs+1wD2wEKUwwlTOwVkt5WuFJO+Fs1JIi69TMTazhv1t6YXT6AuxrM9TBVRzmsACXXSu19v8Axjds3q2KLFKWVhdbLuB9fb+mEKUzsja6guN7Ho2/X6YnFPpkdRLog0ldWr5TvhtKBY7gzvMJqWVZbgjcsWIFvX74jg4mzCAgOWaJQLHmW1X6fTCpo3jpZkU3GwsD0Itb7nfGKKgk3WLW9m1OG3uP/N8bSjD6r4jrarlJTVEiol9amS7e+Bqji2okkjDyvIiR8w6m85ve2469MD1OTLHSEx7zECzg2Ksf9sAT5PyoUExYBrarDct/XvjaUC0xhLxXUycsiU8w23O+lupxK3F9SkqoH1Sx99ZUMoPW3rhRUZcY6kpGGeNekpHmNjttjM2XqpB1uDGtmPcb9/bG0oNFjHGmYljKkoIBvawHb9dsGw+JVXHC4u7WIIDkkCw3I9+mK9T5bGtkZjdeoAuemCHyWAhS90b+HqNvp2wrUTLYN/8AqMxlZmDysxD36Df0wZF4mmONgmqNr2CjcNv6+uErcK014jJLzHJI0A727DEsPCdI8jOkulQTpUr0/wA9cHRFozY1k8TpTCYldw4PQG+Nz4ntKzBY7N8oD9L2wtqOEKWmhEiyKxYlrObG/wDtgSkyq0hUKt1XWq329j74V412RlKu5ccu8WswoJhNyIyA1rso6+lsXjKfHzMo6I1ISGG5ACqxO46sRjjahY6kJ/1L2JLX6/T2wdAiq7xrYllKmzbW/wAOFWKPkBybO6S+OK1VGamargadW1mJgzbeoxrTfiDp5dLyxMkjXRdKk7Wttji3PgZAj+VumwsL3wTFURDSk0Z0jZWc/p7HBeFdkDXI7PVeM/DstPOZUqmfqqxBgfr9sAv42ZbWMhM+Z6ABbWblbdLY5JM6VNRqVGjvZBp2B364Kp46dY7BdTFhceuMsfoByb5Z2Gn8dcqWOQIK9WI6C52/39cRV3jjl9QCpkzGnkKjQ/MJAOOZRw00TuNJSS1hcdvTA1dBGrMQrR76Rexv9sbw77AUn2Z0So8ZKPlNplqqh32D3JIa/W9thgCr8WoZqlGdKmWAoNSqdgR2v79/pijiOGQaViFPIDYlv4h2GMVDrTqqiJWJ3Yg+vTDeEqtoZTa7lzqfE+KsdXgy6NBfWSxvcf0+mGEXijGt3iy2i1hSFk0kAjvt6++ObRzAEA08bXFyG6A+mJNCqVIFzawVe/2wPDi+w2t+Z57o8y4dZlXNcmsQ1mkoJeWSPZTcYtUXh1wHxXDryfjFMgmA/wD8PP00lj/2ugtb3OOb1EDABwNDL0Nr3x8degLubi5ud/ph6lxZ3twfY6LmngFnVGiy0WZZVnUTGyGhq1diLdbdsU2u4IzfLC0dXl9TCwJv5Lg+18AUlVU0L86nleBgf4WtvixUnHHENDoVcynkDAWSVtfTvvgqxG41sVo0FTACojdSo+W/6kYi1ymQ2WxHqOvrjotL4s10EM0FRldBW8xdJkngHMO99jgSXjKlrHiDcO0RU9WBKk/e+HSslqfkUNzrUO40j+vpj7l6b6GLAXIuN8XKfNaKqvqyeKNTcC56W9MBD9kCYK1DqJXe8psT6j0wysKn5orSyS61ZmJAuWJ7DEyLcGy6yWuLDf2w/fK8teJOWjB2Juqym4+uJIqCiSn06WElyAXIIOA15B1IrjUpRWGr97a/Ta2IljCs12vexFt/ri2NltLLWJqHJiIUPoJv72x8OGsmmmTm19RBGx+UKGZb+v0wKZrRUiw2PUHY9sbRxSeTW5CjsRi2/wDB+WAWbOkiUHbmxElB67YwOF6OWnBXiGgUySMoVw4KqB8x8vQ41M1oqzwiVLMCrDpbuMBkMI3J86pspO9jh/UZTLHGv7yOVVOn921yb4glyWpaNnSlklOrZUGr77Y1NGtCREJAuN1F/S2CTK5IsQxO9wN8by0dQso1QSxDoSVOMNHYmJ43Zx8uxBwd+4bRlZ9WpZPM1tR7EHGxDObrpVOgJN/tjDxMQ1g2wsFsQ3pvjVwIiVsXQWNibYHLNdEsIJQEgsym+rXcafS2N0mViyldVvufviKBnVLMgAJvcjY2xInlYqCtm8t+xHpgPkPJKjMkbq6hhbsLbYilcvGdAJDD5SbD64xGGL3YM/LF73ttfpjKyAMQD5ejHse9sAxBCXRvLa7G3Te2JyyMyNYJ2JU/n+uIpAzEagSoJtYWGMKDoA1sFDfL1FsYFBDgEhSAjBrm223qcFQ1YCMqMuoeVPQn1wI6mS17lL31jv8AUY+Ks5EaqW6ewH0xjOu4ZDUKL3YggXBXcEfTH1LORzWJ1BmLEqPpbAb6lZjpZkta1+l++JUDIokUbbnrse2BVmugioqDUqpNgvUepOJ6KtKl2k0s1tFi21vXCyAFX1O4CjcFT8p98EQ6HEjEXFzpUH8zgmb7lsyDinMcgNU+W1ctBJV0klFNImxkgksHQ+xAAwvnkBAATyKbtJbfCSnkY8wqCyi4Bv6YNNcYwVVH7KBba3ocMkm2zauw84dkoqTOstnzJXqcrjqEasghbTJJEGu6qexI2v741zSqoqrOKyXL6SShpZJXNNTyPraJCxKqW/iIG18JaKs+HZdRDodi1v54MDlSNC+UXuT/AExtC1ag66VIPyWghzbN6TL5KuLLFnkEb1VRcJEp/ib2FsKpWaHMXiRubHGWXmrsGsbAg+hxoBNJeRUKnfUGPX0xqXjjdQ6Mb9unb+WDp3sVy22D6SVkp5dHlWQbEne2G2YZZW5LR0KVNJNTR10QnieZSgliJ2Zb9RcdfbCUgxDUIiiAfKB2tiWr4pqc7koRU1NTVpRxinpxMxPKQb6QD0W56YVp2qCmq3DZIpauuFNTwyTysGEaxJqYW3JAHXa5+2ALhALvr1CxI/thtl3EeY8K50mZ5ZUPllZEraZwovGGQqwsfVWI++E0rJMl7EC9rDYLgK9VNbGtMaQwoYowxtfoWNvz9sB1ZVDNpNixtcvsfrgziHimt4gNB8RTUkS0dKlGop00GRE2DNbqxvue+F37VMeXz5eEiPNkWUzMl3TSD5Q3ob7j2GAlJr3kM6i9mbZZmdfS8t4KuWF6YmSFo5GUo56lfQkdxidM0rGoRl3NLUkc/wAYInQFeaV0Fr9TcWFr22wtybPKChrxPVUYzCCza6d3KK5KkKTb0Nj9sbR5gjpIzG1tIBPmIb02wXBcUDWPps0jeDOFfLKN6qtZJEqgpVqQg3IiUbANjebMstrKasP7DSCQ0ccMHw0xCxTqV1TNf5tQDXX1bbphXUZxSyzyyUivBEVj1CQ6vMF8xBHQE9savmMEsgMCFLINaE31MepHt7YXQk7DrvYt9Zwnl89LQvRorSVdRSxpyKxZbaoQZAVNrEsbi+wsRjd/CtamrziGlzWPl0EPOeWUAgWjZ2UlSbEabC3rirftSjlqIo4VdacqpLkbqbC+w7XxAJ4y0+h5AG1DTGCLj3tiOif/AFkNrj3RYqzwszKlo3rY5YqimuhV1UoxDvpUjUO91P0bE2Uy8a8EzTtk+d5nlktMH5hoq1tKqLXJAa2k6h2xV482q45o2irKi0IUI4ZrgA7WF+xGN4abMpIzMpquRckkA6Czdbn3tisY5VtJ2Z+H2R2nhb8YXjXwxPFJBxRJmKJpl5eZ0ySalXexIAOm3v0x0/JP/Up44jm051wvlOYQktrNNJJDrDdLXva2PI0b1MDF4nkB0FWIY7qRYj8u2Cqdq+oljSGOaQx/uwoiubXvb3xOXS4p/wCUEPHqskFSmz3ZlX4/PDPPom/b3Atfl23KYQRpNCV73Gxa533GH2XePH4ecxqEraSY0FV8ypLTMgFuxUXH2x4y4DkzimzSWqm4Rg4jjkjIalrIyqhQbkpa1ien0wwynhCeeMSV3Ayu1QIFpi1XyYwyOTKW331qNNtrbHHMuljFvTa+D/kWXVW/fp/E96ZX+JTgOQAUWZcMhEBSMVNIqm3qSLHf1w3ovHPgqREITL5XNxppcxsLnsA33748J5X4T0kFBPJW8OQQ1BcnUM6AUKQe3Xym35Yjfw0laqlJrqLIqUSEDk1TzNubrckdl2wY9MuLf1OaWVN26+h78y/xq4Rp21UkYp5gukwz2lFz1F169MULx18TjxLwVLR0FBC8s7rJZKW1lXpcjfbHjmfKo8kdRFxpIz6vmiIsPfD/AIe49qOGp45zxTLVhAFRJJLWHfp2xR9Le9syzNLahZmlRNJVuronNPnOlbLcnrc9O+Ek9OscpAa6Lv02ueuL3UeKPDVi9ZQQVbu93kLOWYdCL3wuXxK4LlnJqMkpqaGx3iVmZr//ACxbwmlsR1vuiiVshgqIpCutU21t/D/mxwTVUldltPRTVdPy4q2HnQO24dLkal9rgj7Yfz8X8FV0c0VNlsckxRtDVUzwqTfoAL7na18aVGbO1LSBOFKeakiU6XWsLhQf4V821z274dQfc1vyK9JOSGhB5m4LMw2UHuT6YwWSRnj0qynqANiLW3/LE1bxBdmDcMtT2Wz6XcgfX7YWSZpRO0cv7PkilBIcpJZbdOlvphvD9RdzdJI41AcjUvl0i9vY4inzCJDCU/iFrHqtsaVeZ0TxPGYJotVujAG/rgCqSKcXpdQA/wD5CNXW18bRQxY4K+PnMpUbdNKi1h6Yy8gdImSNldCQXUAi19xhLl9SFvHy/KBqBcHf1v7YZpViaIAxBENl5ara/qfpjVQjfkHoiXbmDVFLYAE9LYnmkWpplvGCWJsD3thUahpZyqEXSxVe6gd/ffG7SFFiRyygMAQRZj64NUC2SwU6CYjl6iSbaVsLb4lWOMro5XUXsp2+v1wJJIzyaNZjN+g62O3TE+p47NFcMvS9hYYNM1swqQvIBInkezC/Y9AMRpAiNIHu2g3Nlvb0/piYVLrAzSRhIQfkPU++Po3NWW5UYRQLFT1I6kn64KXmazJpFilDEEhiLte9j32xNPEsahDF5dOr5vzNjiVadQjliQh7k7HEbwXjBVl2HmBFxb2P9MDbsa2awGF4gLqktri2/T9MaqqyFRIoX+BWO5t6WxCrawwCbAhbWsLfXEJnBkAZOUjMQSTjUwGUoKcxqXUK4uj8s9bdLnAyUkTl5biRn3JLED7DE63mgjSKMJ5ulrFvXAtZBUMZIo2CxGw8w9eoGNTDbJDCJo3dp10khAOpIt+uPoXMsQcGRZEe5LbkJfYDAk9DOka6FJMbiwJ7dtuvrj4pUk6yxjclm06bjSMDSNewbFVM9RGFCcrUVGsXuP6b4nErU6vqiJa3lC3tbpsen/nAkUM5kWSTzLbe1th64JSnlkSL94yiM6nBUm99z9L4bTsLdhaVCMRIVJPy8o7g/wDjA0lTpaIqxUHa1sackMhRhpa4IUdSO2CDCxdXWK7EdSOhG1reuBVcgIxEJpHDrIj/AC3Y9P8ABjWJZdb2CxH1t1v3/LBYp3CSJMBqIADep9PfEiKsrpcagEIaNQVGrsT9sHYx8iBYSqre/wAwCgXHrfBccnMl/d+RlsSq/wAR7XxGqLIyFEDIDaynqcEwQKzoX1aQdVgbXHSxwydgV9yNGludJJ83S1wD6e3fB9PBqU2ICKRuoGke+B4YRzGZ/LGW0gb3Pp/5wcisVUAOgJ0lCLi18ZbGbCljs2pZbk+YDa23Y2wuqI9SyvuNLEBGHT/xgmlZeZLLIdJBtrtaw7ADEE0ayoA7qGBKhXJvp9ThpOxFswM6+aGPmAFhde+NiWVmSQatPQBdzj4U6aAgYkA3UA98ZiBlBJVhZ/NfcN9MLyUNo5Q5MaoDGBu6re398fQRtVVRjsYmANiPMdvbBtJEWkUygxhmDXIAAWx/TGxg0zMyNKhaxVepbvYYFIFo8zVNGJ2AUFWA1C7ADGnwDTxjlxAFQSCCBc4YT5VDqYLJr1C+rffGiZYQB5iXNg24sR9cBq2di24AabLJHZeZERc+oN7dMTwZe7ltUTozMVU3F+gwypsshhRXKNqGw0nb88ELBE9ML6ixNgo6j74KRrAIqG4ROSXHq3Ukf51xaODfDOv4xhzKShy5ZUo4Q80hqY4Ugu1gzl+307kYHyyGjEyCrWp0E2tqsR/5x3z8NddwzlXFkq5hV5xQrXsKQfs+NJY3R9isiuDcfbCTeiLlXHkJq3pHDM28N6/Iz8NUjLZGWH4gmnzCN7LYdwx39hvhPTcOwyKLrokZeqN/UjHrb8UOTcCcIZzRcO5dkfxFXRqhmr6eBYZSbX0kgAH7i/XHEsrlphUxp+z5EjJJHNA1AfX1wmHIs0Fkjw1Ysm4txfYqMfAcIpWleKWAAbOCLH2Pf3vhdNwdADGVeVZG8uxFr9MdqqJsrjo+Y1PJUI8VrK+kHrt02xWamDL5IS60bKwC3XmnYfW2Lk9cjnf/AAWz1hohUIjF1j1l/KN7GzdLdcdFh/C9mEuXrXNmFHR07A8uSWdGRx6Aq3zd8QUmXZeK2I81SCVBiBuLd97bHHpnwYzDhDLlOW19ZLBR1x0TRVlMtTTBbW3BswJ9VwmaTxw1JcCrJJtI8sVvgjV5Qin46glBGx+J2FvXf9MfZL4TZhUvIFpKSrc3CvHXBBYddmX3x3bxryThThbMjT5DIma0bx6lnpQ6LGb20kN3+mOZ09SrPHyy0Zi3X1v3F/S2DiayQUl3M5yTas1ovAXiHMqWOQcOhoJHtGY5I2DkGwF7C+FPEHgRxllRDx5LPR8s6dRKjf0uNsd08J+JczyF6nNBXGI0944ll1NC2of6Lgegx0HxX4rrsvpaPNo/jcqlnp9FRSXYQyPaxZFa5CsMSlLJGailsxfFdN3weGs24N4pyp0WemqbFWYJDaRR63Iwlip88oGBQVkBHQmFgG9jtj0aM74hzmqNVl9PHNzI/wDopTvp9OoxMnCGYBDNxBlubKk4/dSUsgYX/wDY398X9GBZ3weano8yq5C9SJWfTcgqV6+9xgE0FRBO3OpgkkratVyTb33x6zzn8O2Z8TUfxmU57lE5UFhSVjCGoLWuVswsD264rNV+Fni2KvSCfLDDVMq3SOnWUNcX2KHfE3PGnyiyyyfY86RQLVEiZJImXyh0sdsTU3Dz1bhaRprA9GhAv649O5R+E7PKGuLZ5w5mgy7eEVVLCI2jlIuvlZhqHr3xWuN/Cmu8Ps8mpaTiB62FgD8TGoDC4+R73sw+uBDJjyP3JJ/Bp/YzyyjyqPOk+RNQo6MxVgT5ZI/69sYGS1U4jtJTlbgbBLk/XbHXKPK8yinERrGl0MQqywq4Y+9xiy1Xhhm9RQUtRVUNBCJhrjcKi3FrbqDcG+LaOwn4lHnmoyWvVwJKZijC9kU22/ztiFshqXBtFyydgjMov9PfHcK/whlWZmlzCgjbcqFYqFHptgTKvDZZOaJM2oagBjpQCQ3JO1tsHRQ8epg1dnFVyadbxyK66TbURe/pgo5NPyiygHSp3t1+mPQVD+HDjieheuoMiNZlrrrLxIkoA67jqDit5v4VZ3RPC02Rz0sTg/8AMfDvEo/PbriMZY5NxTVr1RR5VVtbHH6XIqipVk5bP5dXQjb2/wB8GpwhXBwxiVlt5dUo1D7Xx0KDhStpn1FqiI+bzrsG3t2wzo+BMwzKshEE5ikciNZJGAsx279B6nFvDfcR54LuclquG5qPStRDLDaxL6PmJHp6Y2y7KnqZlETcx3vZVZb27+nbHbso4Kzg1klNqklqofKujS62G2224wxzLguqhdxVZRoqLC1SsPKN7b+g/TA0iLqIrk44PDfNZ5CKekmdihBC2a3vcHDNPDjOaXlgZdPewC6oid/rjpmQeFRzSYSw0+ZSN2WIBv5W74t0vhZW5fFKtUKyKYDVGKksmuwGwAb9cbTQsuqijz5LwRmMUumTL6mJD25RBv3vtiVuFK6jjutFPcNpI5YaxPQbXx3ar4WzGnZTS0Us+qMapYpzIw+19sNMpoctiLLmuSSGX/pfu5njcEnv+f64zVAXUpnBT4eZmqxuKKS8qkB2AUBgbm7GwGJIfDeqmrBE6xRyadZDSK3b1B3+mPdvhj4JcOeIOVSVRfiLKpoHF6aOoEsYHr5gSMU3iKk4R4P4nloKGE59CxYSVEx0uljYqbbfe2OWHUQyZJYo3qjzsUlOUMayPhnj2fgCrkkijjqIAz7r5iB07kjvgqg8GK2WnNR8dlaNGwXkyVFpCepABx7l8OfDXw38R5JKaoSahrEkuiyMjRgdbfKCd8Q+KHghkfAcsfwyPWwuhKzpNDZhubBTvceuJ/i8Sz/h5Wp+q/fgbVk8PxUrj8TxTP4NZ2YmldEmhYldcTXue++9r9sSt4XJHTgzLUGRzpUJaxI69segOGOF8snrqkSZtV5UoIWncRgHfckgbW+mCVy4ZVmUKnM0rIxqYl4RcC+17i2OpSTlRy/iHex5sn8OaVov3XxobUfIyK1x37/5bCSfgyiaoVXqavUzG/8Ayp3A977HHvKr4A4czHgGXNaOLU1IhkqeTBHcOSfoT2xwPi7K8joHQ0lcmYXBNniMZU26EeuNGandFFmm9zguU8B5VLUOKismUf6RTnUN9tjgk8B5VGADU1hQnSFigUm47kXv/PHWcphpOIs1psvpsthaol2BBYHYdu5+mAs4hyKDMI6abJp4JoiwmeGoNyQdzYjYi2GtBWWTKZS+HeTSJE37TlhJjOvm05Qjf0tizZL4NUOaMxpJzUHqTz44gRcDofri1xnghqGFXl4hiqt7rqimjI7WJ3GG1DDwqIoo4MxzKnqGQ7zU6MrE9Bf37nthHLzQJyk1syvN+GR0oRU8lpi0gVUp6yLUQT2Gw3xYqb8LFM9C1XSZHnFbPflGjSpFw3c6gLbemLblWSUMT00IrJQFAcu84jV2vtyyOm1jbFp/4xzfg/L5Y8urmkZZjJHI05ce9x3xCc5tLRz6kVklfvM4lmv4d6fKU1VeRZllkaQs5lqqhWKk9AxuALnvvhJRcLZfkkjIaSGbyrZhXt5vWxGwOLt4h+KTZlxNR13mlnSHlCRo1JuLdb7H+eOeZpxBR1eYrNMZg+tTIkcMa6z7gWBxXHKTVyOh6qsJzvJJqSqlNLkktOvzRzT1CSgAD1VRf6+mGnHHC3/COQcPSaF+Lq4WmlIYgsCetw1z6AFV+pwkr66CulEhesllI3BVEQe1lPTFdzIyyTs6U7BQgXWTctbud74d22qBFVyWbKs3hznMRPW1S0Zj0qsjyFVRV2A0qpv9LG98MKbP4oM5ipXrpII6WR5I2qEJi83XYBSAf7dMUakrajK6xJoJJYqqNgRYWCt1uDj6vravM62aeWWSollYs7yOSSbbHG2s1IuWYcSVUVJPTQ59HU0tzG0c9hf0PQ2/PFQzPOStmd+bUKBqe+onsDf6YUzqY5JYnYMHFgLX398DiJURF1qqntb9f89cPdhomlqUSY6lJV2ve/mH36YgqGUKwjcspvpZlsfrfpiCULMzlGNlI0gbA42jWR4hEXCnt/2+vXGKJURSS2IOohyvysOg/lgWAjmayg0gkBr/AJjBflEIQqBbqN/tbA8jhWUKgYnYXP54w6NJpb6SpRdQJsTuLEdj6YzFUSqCEYizbgG4Hr0OAyJCLuFZidQCnpiSikljZtKAofMCoubbd8YZoaw1U/mVZHUNu3mK79cFU9VPo1h5LKfmJuD6bHEERlkiVStl6nTt+XrgyIhoFj2BU3O/Qf5fGJS2N5Kh5XBcl3P8ajv6YxGqM680WVTuVbqb74+uNEYKlgdyR2+uJYYuYAJF5bdAvUd98YS2HmNikUbgRJa+oL5m77HBEcqhI4Y4dMj2u4JJb64hqS6tDdQJD5bstwqkWws+NlokKrKCR830HocYA3YxykkgFkFgx2Dj1OJ+U8pN2Us1rHso+v6Yr8+ZOwHJYlQNDaz36jGY69zIVE+hCBfUbA/2xjFggjWKYtPqeFzuEOykbjfvvghKdpL6WCMbi4F7D0wjgkU1ETc9nWOz2ZroCT0thia67fNpZrm69LD0/LAXqY3EKWcNZiWtf13xLDKyuGsWDHTZep+vtiGQDZg2sHZTfGY6mFmXWpMnQrf+RwLRgtWVwqXKsxO+m4UemNDDKoaJJNLK1wx7jvjIIMemx1E2sx6d7nEXNSoS8WmXQdJCXsWP88C0Y+eMcwaWOm1+25741LKZEZkPlU7qLqfv3xKXEQAZTCwazKOqnuCD0x9To0tiH0g38wFtvYfpgpmCYo9BjjWzlgdQG/3xK8IMiqBrJuukixuPzxrDImo6QAt9IPT8/TBN6b53Nm3/AHliQCdr4DZgKUBpi3KVCRbSt9iO+NIYNZKjzSAajbtft9/TDEGEMXGoAjSrEdeoxr8O+3LK7gWspuwHfAtmITBBZUWMhADqFx67YxS06TsSXV9t2fyke9sTpS+YXGtWB1Kf6HEzQQmkOnex1a22I36Y1swXR5TDXSiVSJHK2LMbX9LYLPD6xkK4UMvRQ1zt3GAoqhoY4yqkkeYEG+999sbzzPHHJVjXoILPc20+wxJthSsJXIDI5VJWY2DC52v39r43p8oWmYWvIhaz3G9vvgZapjAAS+hlABQd+98aPUVEUOtZJGAbdjjWzNUGx5TTCJhfVby3A3vjampiAE1qwtpJHUeo3wumknSmZQSDs2oDfr1Htggzyx03MUWUC5Y9b+t8VsV32GtNk8LrZW50qkalJPlP9cTPl5hLbtIVF1YGxB9MJlrJ45I5VqGiBswAA3Pe+JYquUTrKHDte4Fibn641sWmNlooxIsADCRhqYrv09fviGrysIAXOgFT0G59rjtgSLM696iRlCeXyMR1G388bGtqIwSrqegRuxIHTAbZqZtl2XxSkhY42LG9ibd+5/LBi0IibRoR72TZTa/98Kv2hUxTBVVE1MLknYnuMMppqvSil9SgDTcWCj1wbM13JxQs1SiRqJSo0sh204nbJCHkk0fvBGVAbbSD2GAaWqq49S3MhHndlF8HVGdSiKFTFplC6WuPMQOn+emNbEPKbOaaRQ15GuSGXe2JPib3tF5S3Rx29vXGs8TlYgGs5PS1ib/0GNnllRSgAYqQoUi9/vih6K3N1nlGllGgrsFX1HtialdjHpdBcXZbHt9e2BhI7zMhG1+7Hp02wRRh5EKBgY/X+WMM9kOYKY1HyAktbc3uLdOuOkeGjtlvEGWPV1UlJTioi/fqmoxkOCTpHtc45dAkr8hGdVudJLXFhi9ZH8LBUU2uoRRAVYXBJkve56W9OuM1ao52k2dU/FNnC8RcfJWU3FFJnsNRSqxq4YTETa4swIFmxx3L6f8A5hRz3l20jr19L3ww8Sq2izDPIJ6WZ6kSxAtri0gG/T3Hv64VZFAsOqZnKohGo32ufr0xPFDw4KHl/fgJK27Y0gqlGlVlAFiNDLtcemJ/iYFjUhxqNyT6774BkpYppVCS3cjtdgF/viKPLk+IblSlmv5VZCAo7ixxQUaQvEtSDGI/OQxKjvjqPhznkXCnFWWZlNTRV8QkBlppR8ym1xvtjltLlNOzo4luC41EXFx62x2rw/4Hmn4r4e/ZmcUk9VJOoWKaFisdtwWuLG47YTLJaXb7Ml3SAfF+PI6jPmnyNqiKCpYu1I6+WNibkKRtYenXFFUGGp0fK8gOqydVA/3x0LxPpaLMeNK2aYwxyxyEyJl68uDV0JAGwxVWpEkfUrkqdwOrHttgYvdxRXoI522ZyKWolmSmWZkRj84b5d/T6Y9K8aTZzn3hPl9c8kWcy09O9JJrgbXHq8tw/RiRbpuMcY4HyvJxIy10FW1TZfhmhto1X3vcG+2O50sVEvCzwJWZlS0xGgR8oSJc23tf19scfVO5Ql3T/wBMWE6jKPmef+Cs64npMyoclyNJnqDJZYWI03HY6th98egM+8IYG4Yp6rj7PKLLK4rzWhoKrRLD/wBo2Ov12GOPwZQ9RxgtNk6VMqF1LytFy9TDc9DYAeuOxeNVTQTcIZamZ0sUdc0OmKTL1dah1G11ceUD64XqZ5JZMcccqT52sphcFGTmrfbejzTnWVU2T8X003CGfVHELU8xqVNZTGBV0kMLhz51677Xt0x1Th7xZ404nz8UGbR5VUJUAWiSNw0R3H7toxq3xx2ajkfMXYSSrGtwHmB1KL7Akd8XzwxrJMv4lpJ6POarL6+KzIyWGo3/ANR26evbHZmUJQbatpd/7sLCT1LfY674mZhwBlnCbUmY8UcSwZlEyn4KCsLmOUHfyyk9ibE48utTZVPM8kFXXzxoASKqNTqc7/wnoPXHpH8SGYZhxTlvm4Vy52mWNv2qQWnIHZbm3Xr7Y8+5PR0KUribLjM0h0hlmdLAH07Y5vZ6cMPvXv2tP6Ult8SnVzjKS0/v+u73EWVwVZzdJqaoEaxzK5cr8lrb279OmO6+Jaz5RwTFxDVcWZfXyZsypLRjKuVKWC7mM9rd/vjmuTwUX7daBcljhimKoOfIxUepLdd8ez+K+Hkzvg2gOc8L8P5/R0VNqpv+oQPKAQNIuL23PrhOv6nwJYn6+a3+q/dC9PGORSUvLyb+x4VzLMBnVOmieJ9K2cyQMpH3woy2jnoWeTy2v1DEWPW4sPfHSOKBllRxPWuMppcliVNK0NGhCKwA/wBR3+uG/A89DQ57SSR0zPUl1ZWA1hW9cd/iNR1Uc9qMtMVaLDwrxNmPD/hPVx0UtO1bOxN5Z4iI4SLiQMQGvcEWFyL9sUDP/E3N6nL1oa+sNdTIgVo3kMg2Nx36Y9Zcb5bVUfArc+vyuqkq4dQgr0US79hf7Y8g8TcHZnw7mEYqpI45JXuOTKsgFjuCEJtjy+gz4s7lOldnb1GOeOk00qAKXieAQU4mybLZFA/6jQXI79L2x0fwm4popp3ok4Mo88+IGmyQhQfob9fYb45bV5JWPNG7EyAkgqQCbjueh3x0nwuo+JKuqR6KTL6YUjBo0mKL5ttwD0PqfbHodQlLG1Lj5/tuccUoyTRYc6h4KoqGrYcNiCujGlpVq5EkR7nykXHTYbY5/luZVtQ1QhzKaOjADJTtK0igjqLNfbHSfG5Z4s+hkqJqaWSaNJZJlVXGtgb79L7enbHO44nCSLEGKk9VH5Yn0z/LTt7+t/c2T3ZOK7Hf/A3Lst4tpah6mdjUxxGwhVUII73A3ttiicQZPk1Lx1ma1ucVdVlokKxVFOqyTSXt5TewH/jFi8AKWjpfi66pzYmr5ZK0UZKsw63L9LA9rYQ8YwQrUS19PnEGY1VTUSSSQml0MgOwFz5drdsedDI49XNanW1f+0WnjTwx91fyN+DqjgLIKhoqHOc+gqap7ATUcAVW/wDfc2F8UjxJ4ilr+JWo0zKfMdMYXnVixM8gPTTywd9vrtgHK5JKKpin5cLTrIdKFAV6dgdsT1ud6M/fM9U1Jm5kDrPSFU07H5VAAGxx6MYaJOfL9Tm1pxqqR1r8OnEz0j5g8NKsyRx3K6XOiVRfz6TsO24744RxvxfT8Scb1ldLQLA7TMZIoWKgE9R0uOmPQHhF4o5nUPmcddmzzSNCziOSlihMlhYbx2Zmt3OPOvG0MtRm1Y9RUmQEkIxa7KLk2v16nrjl6eEvxE5zik6W6d/c6cjgsUYwk38VR07wYqYKirFRl2SSVskTF2jNQAyjp5b2Itf1wn8Xs5qUzJaXMKaRZI1Ya5GJYg9Bt2+mKx4brDFmsUsQNQoYoFNyL/T9cN+O4I6/MzH+9MqWBDp1J3uN+npjte2XU/IgmtNFZy3NaKURxy01SHVtZkga4IA6WPT64GzOamraqZ5J8wjZVITypuB6jbbBtLRy01Ys3kpSN9b3tf0IF/7Yiq8nlqopZYWjfmXAjD36exwzkr2F2ZcuFKmmr/DTOqRjGRGhMr80Q1Uw62AO21tj9scRj/Zk9OjTUtZzb/Pzwbj1I09bY6HV8NZ/Dws6NldYYZ2CAxqCTYdvbHI8wglpahInjkRoyd5bjvYjAxpJtrudEeB7wrT5OOL6aSGSqSFZxyxyhI+/awIvc4r/ABRyDxLXmOolrYXkYI0i6WAv9TY/U4Z5dROiQPcRgPdZhcFTfrt3wJXZbTnMZJpKhE3Jtymvft0FrYd8lYtgdGimRI7eVBcDpt/U4tWWRrUyCJkcPF5yENtvoRvfCmioYmJiFbCoJFncHv16jFy4fyeOOlqmmqKdmXyqHewJvbbGctic2xrwzSxVteRWzu9OifukhkC3cj3xXc+leDMXjUPDynKmOR7kex7H7YsGR5VXJK0sBglk0ltL6XXc9wdjvhXX8L1lbWuaiWmFQ12ZGkVN8Sve2BUykVtdaYPJTwSAsbAxggW9cKaiamklcvRIX1A3juPqb4t9fw1JDCEEtPIbMGCSKwHpY3xW8xpZ4UV5UKxqSAxUWPTpY9cOvQrE0MlISV+GKAeYfvCdvTAM6UzqwV5kcHyjUCPbbEropKHzWIvfpcfzxqsRYcvQNRFizDoMOnQ4rOkOXbWNdwARex+vvggbXRdMY06QFPX641mURyRq76fQEX1D09BiGpgWFWEA1vLJ2J+XsOu2FMBqkiO7IpRV3JIuT9MA1kxBk/7x0Vdx9T0w3nSXlr59ATbYDbAYpfiEdJalL36qpAOGToK5Exm1yhWUKQLjbEmrmQC6EupIBH9cMFyinSawrG83Q6NI7evY4ayZLlyxNG2ZOsv8S8oaT73vvguQ970U5RI0cQVGbU1lUC/c7C2JjQzZNmzpnmX1NJRxI3kmVoCzFTpIZhawNvri5Pw7wucvac8VzicN5YFoDcH1uWAH+2O2Uf4uOMMl4cynKYc5pczjpoFheesgEol0mw1JIGUnTYX9sK3L/qVg4p3I8tRVmTLliLPUSx16mZXlEihGBC8lQp3G+rU3paw2xvQwZdFQEQZrzq54VkWNadljD6iGjLn0ABDDYnbbHrHI/wAWz5fUPVVvA/AeZTsnnafII0ZjvcakUXuMXKn/ABo8NcR5RHRZp4X5NlzQMXpZsmhEfw0n8LptYG/Ygj2xGU80XtG/n/o6bwN7ya+SPGGcJlWU0kM+V5nXZrMY4mkgky54ipZTzVDAsCVYAA9CDfbGMprY6wcumR6mdiAsaQO7sSdvKoJvj1DT/i44hy2maOmyPJcumGuOWuQD4SpuTYzU2nSrdLtGVN99sLqP8U3EdJmLpJnMNHl6lZGSBGanZhY6UKqHUdhqJ274MZ5e6S/vyDKPTNcv9EcQq8regmenl0pJA2mUsrAg9wVNiLehHbEVLGrVMQ3mt5mIGxFvTE3EfE/7cz/Nswl+Imnq6l52l03DF2LMSR9e+NcuhMtQrwuAFB0lW3YbdR0xdt0edJU6Ja6oSREjCCSSM3KEdf8AB64TyIZnK6ww21Ajof8AYYb1QWnjCOmpyCCR0Pff1wtWpWMExKrPawDbW/vgK2KCQ0KR7aVbXuWuQb/Q/wBsS/BBQTpXQBsw7exv/TGWKwJGbHqW1m2oHoB+mNJpJGXWsgJW1lIsCe+GZgmnp2ZtRsg+WwA+hP5YJFF8O2hmNk3BWxC77jbAuVyTzjQgXmX0a7EKf86YdNkEryKtQq06ixUSNpBPvfrg03wBtLkHho1ZVlZmS1ip9P8AOmDIKCGaVLseWXUM52C2sNR7jBsOUZbl8eqrzGN1B1EwG+m/U4ZQRZDJJHfM6kIB5gkOodNt8LpYFJBdDwpk2c5Xnaiqzn9pQgmmp8mgimM6gfMTIykC9gbDob45jmjcQ0FDRUGdUGaZNS0o1wmaldbDXquHA381zfHauEc24Z4Yr3q5s0qKtZRyZU+CKtoJ3sxPUYvyeJHA8HMnXOM1LIiiOOKlsoF+m7EbXwVj33Y3jqO2h/Y8wU+b5HVTuz8WSiUxS1IJVWc1J+VGLdUO5JttfFgpZctrMsSpjqQtLLMipU1sbBksBzFEieU3JIG17AY7tnXiF4ZZ7QGDMYI84aU3cS5MoZT7sbH8jiXIeM/A3KREkfD09Fy7EjL5Z6cSfVdRQ7eqnpiWSMkvdV/Oi2PLil/yWl8E/wB0cGzPJKeOrhybJ80OZ5oJlkjjpyzSJEV80RjKhmZSepHbDNI+YqIwGlupJtqYbdBjvfG3jr4dZzS1s/7Dq+JM2qI+XFVZhAEenvYArMrK5sosfXHLYoMjzSN3pJvgJQgtA5ADfZj/ACY45Vmmv+WGn52d0+mxT/4Mmp+TTixClLLNEkgJsu427d/yxLHSGSUkqQCwsQdwPbD+PJK0Q8yLlyAkhFC6GYW9D/QnC7VPQlQ9O9PIDvzFsb33/wDOLxyRn/izhlhyQ/yjRrT0mp2nsFT5NQ6/W31GCHolqZuWsJuGvvYW2/XEhrEBJZfJcPewJv064HSugMsjxyMXAIs67N9Dh36EQmeljV+cHUgjllWWwA+vrgT9mGoZo1KsrDqdv5+uN4UblSSKw0nomrc+2/TrgZJ51ZV5V1P8XUG+9vTviZiRIEiaQSR6XjIIcm2r2tiLkyTWeB7DTqZWvZR0vY9cRpVRRqxMUjMrW3NtunX164mp6pUWbUrEIw0j123v79MFKzBK5THIro0tyBpDFh19vpjK0qxI5s0o7Rt/EOu+IRIxikUKWK7sNyFJ74mpYiConDKXFwLbj0N8C2Y+hpebJJpVUj1XW42FgL9cRrlzSBVaVUVfmsNsSo6qjKOZ5R8obYj7/wA8QTPInKIRt73tfb2tjWzBktFBqV1ACubKznSDb174glhDxx6DrVPOU6BjfoMQl5JJFUBg1727Wt7ffESu0JS6uukkWB2PcXwyvkxIytDMJDCSpOtUO+/pt6Y2jmlkdhI5FwTp1WPXpgeZHZlZ5GIJvoUEAMd+vpjIp3fl31Fg1rsbXwydmG1LVcmJHUMms6S1saSzNUXPm3A8/ocLjIeWBqYjXazm4Hrc+2Camuiej5FymwIs5PQ9ADhkTa3PNrU7GVCy+YDcMd/c4KanCSBQwOoBiAx2ON5YWWXSLOXPVQdh3v6YyYNcrExkMRYDVddzuf0xQ7kwUhtBJFvTSfywfSwRooZ3YDpdRtc4lOW8kJLJAFjIubPe3vb9cbpS0901LIoG69/yxhW+xmFl1OABpTzG+9/W2LRw+kVTKoUNqsSAzWt9MKuHsnps0zBoJquPLVK/9aoJ0Dub2Un9MdZ4U4AyuWQUVLxXlks0jaUWFpVLm3vEDgWIc8zYvK8bGBYzCNKrGN392vgrK40SKV5Y7lrHSvf64e51wHFkFQkVRmyTlrySKjFnUe+wI9hgUUNBTu5pqp5EZb6nGgnt0JvjWK99gJ54qeZjoUI3TSbBcS0JWWpSYsSCCME0VFRVjiB2Zm+YFhcWv1JBuCPphj8DBJNJHC1K2kKBqdk7+4wEITJXRGOjjaNo+WLMGtuT3+mOu+ENdGvGGWNPMlNCrqzTOgcKB3K/l0xz6AKKM05p6GRXsonVdUnpsTjo3A+Z5bQVmWO/wgHMCzPMh0i/9MLkVwao5JT3Rt4oSw/8ZVAjFI0NTMzWh2QAn9Ol7YRx2KeZI9Gki4W1j2ucdO8Tsu4WqKGCtTMZaavaMlaZIAwdu1jtZT97Y53lC5cZ2XMKiZQRa0EYc6h0Fj0GI4pe4l5E57ttdyTLJTCEdtPlG3W5PtbHa+FFR+Hs8M02YqsNPzEeki1Ja2+q/btjm1CmSQ1NOaioqjT23sq8xd/4fbpi7y16NwvUQU1fPHEYNFS8UYPMj1bKwB/W3pjn6hOcVFem/wA0NhahLVL1OeU9Wz5mh+MNNIDpO3v12/LHRPE2tyqk4Iymnr8vvmAjYx1kVUblvQp22IOOaRUMiSvVJPFGsLAKrnzMCdiB+pxZvEoUOZ8B5OIoImzZJXaWoUl5ZABur+i9xbAyx1Tx87Pt8PsNilpTT8jkk0r1UugyJpYE6QTa+LdwGkYzqGT9wJ4wAI6lQ0ZPQBvbfFJpKN6qqSynQE1E9LYsmVZdVxyiWMGVFbXGhO4t7emPQklpaJJu7Lh4xwZzlkqQ1dS0bTqp5cScpFUAf9MA2IGKRlcKMqhYdTi+tnfc98WTjaaeaGhfPsjmWeSHVDK1QyLIhuAQPtil0cM88TrGEgANrFyWA/riUItQoM3cm0OqdWV42EZuWAXa5PXtjtfCWYVtNwnmNUJ68VVOhSMRTiMC4uTpOzdOmOIx0lfGlOfiEYWuAoLMPY2x2vgZYkyHMJKjNKmkkjpQFKwF9THtpJ3HUE9scHXf8e+/H3LdM/zEjkuZ8VVXEOtq2U1r21AzQqGHtcDBeQ5rFlmmWCFfimTSWVTYEnoLfzwpqckqhWTWmWfQSObb5wd79BgjJqCumkMYqhTgiwt19dvfHalFKlsjnbbdtnXY8rruKeB6ieLIxXOiFBtJzDe1yu3X7744XUZJU0Uk6y0lREyg6onjZWXe25Ix3ynzHiLg7gaGXLTmo0alatacSRG99hGL6bfnvjktZx/xJmVLJRVWcVUkJ1bTOWIB6jftf3xxdNLJrlVON+bs68ixrGnvqr5FSjpm5lngkc7gkMdrbE4fcM08EebUoMJETMCdd739x6YgokM8zq9W+vTa+nY/3vi3cKUcDSxHnU8laSIxDOGJY28tgB0x35HUdzjim3sWzxXyJc+jo6uSGndZU8tTRNZn0j5XQ77W2Nsc1p8niYOYZ5VUk2W9iNu+LTxxmWaV2Zo9YI2dU03iAUrbY7AAjCagyZ62M2Xlk/M5uQDe9hv9sceD8vGk2WyPVNtDLhWB8reosACiM13s19tj74T1s8UlpSjoQ1yVGrUN74ZHKp4pFRJ1D2KlYzYfn3OFIyyajXRHKTZ7hna4+/64opXLVZKQ4iSidEhMwUpsg0Dfa+57YWVuW0crXiqIA2q2mQHr63xtFAJVbnMq2HzDsfthdXZXGtliqbuNRYmQqPcb/fFU7Mo2Xfwy4sPBNfUT0qRzSunIkmYgppPUWO/5Yo/GlfT1ebVUi08I1uTaPddzvY4acLZll/D4nq5aX9r1caf8tTyAPT6z11C++3Tr9MVqvzCSrkZo4kpVkYsVj+UXPQXwIRXiOVb+ZR3pUW/kFcDRTfHBA4hiDgySKPKFP+2LbnFCIs3rFp5+fTxsqRO4s3TYt+fTCDg3lwszpOnMNxpZddvTymwtfvhtTisZpZ5p4EvqaSMXup6bg9MDI97Mo1EjDLTI0pUiU+ZJb2sT/F7298VarkKO7XtJE1le2xPrh3mjzR5cxeeJ1QhrL1t0HUdPbFPnrJJdY0mUEX0b2H9MCHmZKyx0XEGYQUBjXOWp4zdRCrkmxG4AuLA45lxIqGraMK4Rf3haYkmx6XB6ffFmy15qiJoSkVM5Y2qJCOvoCb7+gGKvn8P/AN6qtZnkk1APJUJockjuDi0duCqTQRTPE0EWoq2kaQU2BHrhBmLnmzFPOFNySNt+g/lh3RhoYCYwWZF1WfoT7YW5nSPUpztYBe2pQbWwdRROjSlp2SJGBVmChmU4smWzKYwpkaTVbYAWUe/vhJQ0xKkaC6q91Ym+n2w/ymlMo1MBGunsQA2/6YGonPgb0sbKY+TOSVNwCbbX9cY4iIqaqVnMRCpty6jVpHe2rcfTBfwUYiVlkXZQxA/kMVbNaZ6mqk5SuQ1zcEAL9RhRIOxTK0dREljcIhtbuOxwkzGYTqFS4jXsBfce33w5noqqmhVjJ5gAbdvoMLWhmk3a6qSVCrb7knDpnRECW4dlUlgoA2t5fXDRsmlEKzSqUa19mvqHpgWKHTM95OWNVnHUHDeQl6RU55kLC6so2thhm6Kjm1IyNTqvmickm53A+uBFikpr6pVCM11BN8WGooXqXG/ltYatr++BmoSAEIRAu24FvT/fGCJKxn5fQfNYdenvha0rrKgIsV2IXoe+LJmVM8rxqL2ChSxFv5dcCfAkTK4IR03b0Pb74wUIWrHMpRkA2tYi+NZalag6pU02NiRiWqiVK+oZbg2uTbyi+A3srcvQGDkXJPT7YZKw3bNDKgLaVLC5B79uuMx1V5S7pqXZbgAYxGpqGSIpZW6G4Fv74y6rA4TUZCw1tYXG3T74ZKhzeGvkNUwjNgATqb5QcMFp5XKGedgFGsBDaw7YVU9LKwEiRC56KTta/wDn54bJRVSwkiFtLrtMxBH3/wBsEWXmbyxoYSwDkIBc7dPUjGKROUrGEgpcF0kHlG/b0ON4MmnOkmSERdLhrFvt0wZT5VITyuemi+wBtf6/ljE26Io6OMTc2Jmo6hrgW3Vj1sR32wVS0KR1DO0sSSkXLQHSpItsRiM5XJe0sgkZWBUatrYMgp542Gh9a2JKHSQD9MLpQNbfILVs88BKI8gVhdbbj74XwUksk38LKNiG/h+hPfDpoJnJfmqpfzauhI74WZrSVMLljMDGdrRuHuPe3Q4KVDBMWRS6NYaLWSGAvt9dsYqeHrqQs6pIzG63uL+xwBDBVBQpJ0s2k3JA27YMWlmppEZW0xPewBuR7b98EwTQ5LKpINUEQE2ItsfY4dGqjn5KV0orFjTljnkMbel/TCWloZpJFZ2YCzaVuOvbG8NJoGh0GqxBZj0P0wbBSHQXJyl9KQAX8sbalP54ghNNC7oHGgC9yt/ud8L0pY+RfQpW+mw2J+2JIoQdKndb7Ku+2AEOjq0lRS+jSDspH6/fE6ZPVz5RUZokYjy5JRE8hdbBiNlC31H62tgWKASMhkB0ja9up+mPpBG4SIoBy2YIQdyOu5wrRieiywSpIecq6F1ASfMT3A7XONIqWJdJ5ihSL2Iufp9cCVEtnTzeZf8Au6D3xJSyK+tiAwJBDqdzt6YG90YaxRQtK6ixQbkE20+2DBRPAoVdAN7lSb29cA0Z+KYnfltZRbc7fXDfaKneN2Mh1CzMBv7XwODE1PmVZQxCAVEkUQY3hvdWG1jpNx0wwjz6VYSSsQmlIKuPlI9ChuLH7YSVUqShS7EFBa+qwA6AfXAtPO4gYFmF7EbE2t2xNwi+xeObJGLipbDKtrBPI7MsMJuLrAthf2HQY+LRkNJqPQC52XC4SNJIsiKJAD0VfX2xhTUMxYANEnUHr9LYZJJbEpSc3cuRpFUIzLcHl3u49fpgx2Wcx6BoQAWK23woRWdRaxdfl7WxKJJRHqXbtqJ6bbk4XSKEJCkmuIsQltRFtwf7Ylo0ipXEfzgBtVu57EHAEiSGWRlKEg7Bb7n1x8glkjHlRtrkAWtbbDgasdM2sSFEKq1yFDWv9sQNWJUONXlswJjAN7+gwG7spTSpJ02QsbX+mI4tRlurLcEHVq/S2FasERgtRTTqxUBbXtquP598RzVyO4Ua5Hk2ve1u1zbC+WXloxaTW5BCix6/TtgaColiKAXspsU3Jv7YGkYeZZoWm0OBpvoF/mtf+WJ/iVCBJmDxsCF0/N1wooql+awMrFt9brtpHbfGGjazMgEgAJAHYnBowZV5lHAY2QnQLhgf4bdMC1GbI8jKY2YPcs42N8CVUoZwJEUAnz3Fgex3v97YhqY25illXQBoAQk6gOhvhjG9RmYRNJid2NvN2GJBVvHTI3LIAFj5Qbb4HjjES2kU6n//ABputr7b/ljSaqcGxWRIr3Hm9Pb/AHxg13OMNKUbVdfMwF7kbf3xCZDZVBKMLDYdfrjAqLRclwXsQbDcg2xuTGgQoDdt+t7+2KXvR1INlqpInjjSo6AkjRt69MTQ1cZjLc7qL7Cx+uF9TJDIwAXQpsC2xN+++JFSmWIkNLrW+vyg3A98ECQypa+SNZdMpZmH0t+eLbwtmcuXFZIqx4KqMiTmISCt/Q9sUMoj6jG50AdGFza3UC+2LNkUSCGRndyTptcXwrRN8lm4iziXMswjq/juYrizISx0+twfXrhLTzRiaqTmEKFvrtbe/XfArNDGSRfmMdwzb/X8+2JY0yipqXVKioIWOz6iGO/Ww2vgNUAZUE8SVBKyHXHa5Hf64sVA5lmvzRqJuoPpip08eXURIjaWcFrkubMTfFhy6bKZKORpopkqQwEaB/4SNyfvgsm1Rb6OGEqAqorMLAhtwfpjo3CWTpmNZBTE08TPZ42ZwFuOm/YY5Xk3wxImB16F3bVY9fTtjq3h/C5kiNOms3DRoEB9z9AMTl/i2cWXlI+4wMslXGr6rAFbAhlBB3P0wnpWbUXQA2a9yNx6HF58SuFpkzKF6WBz8REC4kkVgXPWxX+WKXlkNRFLIHKPoNjpNr/T+2Fg7gmQkq2GM0b1DrZSdJ31AL198WiaSUcJVMT5cs4kCBahGJaGx9B2OF1LAcwkWKKGNnNvJI+n874uOYwVEXDT05EFKyKGZYZtQZTYfe3TEskuF6ghvZzLmQwogs5YE3NiR1/UYK4yzFszFKy0qpHyw2qnUAkAd17e+G0XD0s6Aiqpozc+RnNz97YU5jk9UszhKiElksrQG/54omnI3BVoI3EyqVKKwuzKOg7XGOoeFfFlHktXXw10IqIJoeWp5f7xLjqpHQjFJjyd0AkLmYlR5Poen2vhpl+X82kzFTFUR1TEGFok1KSCOv8AtjZVGeNxfBTHNxkpR5F3HvED12ZTI2YVFRTxkWp5Ltyx0AN+/wBMV3KJwquZJGQf6gl73xjiCgq5KnVpdgxuWItY+wxLSUFTThndCVWxJXpfFkqjQjfcsdNmFBJUxf8AODU6WCshAP1OOp5dnyJ4fZjSxZhFcDVKRe0yf6bWv79ccagpEYxs5SFWJLjvY9MW3LqSOHLnqfil5O0bIjdyDtb7Y5M0VOr7DQk47oWVdZGJ3bmA2A/dqCVAtjWF6BZE1PIVNgGCEMm1z/nthhSChMh5SFk3B07np1thdnEkVO6wx07lbAgutmA9MMnewqVHTst4vyGjy6no2zfMauhU8wo55S3B6bX64ovibxavF3E0mYJFTRwJEFRII9Cog/1GwJPucKX5k0ECwRmz3IUKLnCavMlPWrC/M0nbWV6exxPFghGXir/IvLNKUdHYaUHw2aRzpGUjAKqHDE7n2xcODUpcsbXRPHNmUjcuOR2BKD/tB6H3xQaYK8XLBhhY+XUO5v3w04XpUXOiFn5c0Q1qoFySPQnDZo3CmxcberYfZ9RVAzapSrKLWoSTpa5djv1/nibK6GY0bSiXlK5Kk92IPYf1xynxL49Wtzl6fKZqqWpSsRauqjhBjjUkjcn1II7XsbYpOV+IFHQZjxVA9Vmr5xO5ihqASLR/6BGb6W6WPbE1jk4qjtjituXCPSVPBM806yOWLqWVf9IAwpJqNFgCB0IYdfe+OP8A/wBa8zyOeijqKOuggpo4vjFliIm0khSWNtr6gcdQ4O4nouLstqK9JUjEMrIY5JAPodzuMFxcFbJTxS2pDQ1cnL0M6SQvYEsouCMI89zKnaZ1EMcxQAl3Gk39vzxWOD/Gd6rjnOuFeIHyulkjkeKgrIGtDLJvpVjuLWHXCaHxmTOeDc+laoy7K+I8tkDJFJSq6VelyCoLbrdfX0xRbdjLpch0nhuvqaamrY6KKA8+LSzyxCRoRfqpPTbv1xX6uJQ7hpw7KfI4HzG+KO34hkqsphzbLGXKZIpEjrcreJOTVKR5hH/FcWOLplWeZVxBk0eb0tAlbTT+ZCJChTfowBuLdxh9+4uTFLGlZolOyyxabgfMWG9u99sWKXMVq6ByFSWoJBaUKbt9ffE+U0WXyRpKaJqdCBaKKZi2576sPKDIYHYxvDJBqksHd7Dvvt9sSk4rdkGrKJmsuuO4RdL2BUNYXPfCKGmWQFGDIxO1j0H1x1PNaLI6aTl1QdJoVDcokbewvhVUw5QkpUwSIWI2Njb8saLvg3CKdFLJQCNgIZCPmaVbgD19iMVrP6NJ8zustRUMQATM12JPv6emOp1o4eWOLXE1w5LIARcDt+uFtXRZHDNHPHTl1XfSbgkfbFU6Cp0UD4CWCnAZGVQNJI7+2AqjKZo0hYKbM2ohyd9sdBdKGTUVUsjNrRWN9v8AxjFVmWW0kccc0fPW17HY9egweWO8jStFAooavnSuVI0/LYAfXbDnLopoNYbSjX0qHW4/y2Ldl1Rk4piRRqkgXSGBvq+vvg1Z8hlpI5XLCWMWIsNz16d8ZqiLlZVFknWMryrKf9FrtfC3O4XW2uNlUN8q9SB3xe6ypyuaoDJEHva1jYrtt/LCfOcyy1dhS2up1O+4vboDgFIyopU6LUxhApYjZQ2EBglE0aIoEZJuSLEH2xfYs4hmmR4qOMCNAugW3Prvjevpop2RvhEhD9wLjDcFVkrsUT4CQ6gyaFsGJY239TgtIVkkWMKFW1tVrYsmY0scUjpEnNUGxbTsfp9MCiSCJ9BUhiBcbG3vhk7DrtlWqUdWc2BKnSmgdB0wHUia5iXdiDv2GLpLLG80a/DxupUnUbfy9cJKqeOOd7qHQWI3G/qL/lglk7KrUwqkwWzSrcWJNv0x9P5NYuzIXN1HTp0w7nlTzgwIoViSeptgKpkhdHIXQCNje4wyXcJV6+KYVEjEkxuAxX0wmq1YIhGrSLhlA3IxcmqY5ImEcSkXvqY3J+mFFS9O0qFlEYJBG24364Z8DJ9hHRxvHC7AAHe9ybke2JJFExI0AKtjZhe+GqxwSwSS860YN7dwO1jjR/h5EYFtxbq3Qeg98a6Q4NT1s3KCtGukeUn5SB9RgyOrjfcpIuoEEK23T0OCqVKZIdOpHQ23vawv3+/fGZzEpJCBmO1x6fW+BqFaIopFMUaqSUNySw3v264KVGhjcgXEigaBtpI6YEMmuKJgRpubqfTB9PE2hSDuAfP1t6Yy3YrVBKQsqKCut9NwCdr/AFxOsSmQSAWttvsPe/riKJTptclWWz73t9MfQyrpdSCVFgWkt2/84DYDb4SKR2sdBAIW3p9MRPGmpvJrINvrbrg5Z11bqDpXr6e2M8yMx7PqDXJAH8sZbmFzLJ5iqkrchVY+v8sRqZDKkQjBYkkud/vfDGqZYY1jTbsdtx9cQUSlypb94gvcsfXthzG5h0Lv8wIJsuxG/fEYpk0zMGe7dCOn0w3RZTS6FEZBJ0gDfAk2oJJrHSxNjt7YCdmIacps4LFP4lJ67bG2N0p1UkLKNAF2W/TEfxOozMUAttqHRdtr/fGIJI44XIRXbY3v1wNRgzUgjUA7/wCrVuftgKoKmMqo0tbcoLG/pifmRnSVBLkbgrjW5W7sp0BgWvYdfT0wHIwslVpRfUSV3JI/S+Ng0oCjlnVc+Y7aRg1lYRuQuqMD+IWtjMkE0MdOXi3k6auwwpgmgeaGIMxYAMQCvU7W/PBUaTMl/OzE2JVrj74V0yu7RGByyAkA3te3r+eDeRLcBJSEY3JS4GKVaMTPOiAAxul2AQDcMR/g641/aEk6gBdBFzcD9MRRjQXPMsoYW2uT9BiWOCVCARoubrfa3fvgaTE1PUCNEIJ2Om5FjjKytJNoDmO97FD3xpSq8YkfSSEW5F73JPUY3WNZF1qVVVN9F/198KzBCyEMCpZRfqNx98TyVDELKWQoTpZQQD0wDFTSqkkgd39Aeq+oxMlNyQJSpJ6LY9D2274BgnXpYC3VPMVJ3OI445JbublFuDZ7gjuAMYkglMJspOkEkHYb41iPw7eQ6iRcWG1vfBTowRYtyRZ9SdO9h6Y2qZdO4UnU1gFBA263t6YGdwtTbSbkeZT2ON2qdLOquwVtzv8A0xm7Maqw8x18t/4rC5sL/wC2NKqo1KJNe+nYkdWHQ/TGsblS0siBXJuR0BGNXqmdHPLQi2lQD3vgGIkzEQE30lmGkudyTfr/ADxuM351QCwB0W2Dd+22JkoVMBdobsg8oA7nAlUyU4LGAdQdN7k+tsYxL8Us0gkQXcFh5l2vb0xqsigKhLPJew02IJ7YFnZEYuhKs2+ne63HrjWMcwR6yUmW/lQ9cMl3MFPMwkXUpa2xuvyk740qJ0lAF7E/wrsLd/y/rjQLoeVnW7Xv1uDiM6mYWCBV7n5hf/LYcxyh0K6AoEgYED2GB40d2ZFTc9dAwcWHM1XLBBYECwPvfGmpoV1G42upQW2Hf73xnudGoBWEl2urWNwATfcYKiRmqCnOsy2JF9vy9cTJSCRY31edlLC/U4Koaa0cskgW/Q2Xr3wEqNqPoKaR2YhdfLN79hfD+lLGgYFdSKCdz0t/n8sQZXTQywusg5d7Ne3U+gw++AQUTRxty1IvoQ2J3v8AfBIydlbzGSV4FblAxbkG4337YEpJSagl1IBuo72GHFZRvpjuLx30kH064gy2CEyHX8+6gDqN8YN0gyipI59Duv7uw2Atcdz9cHUcCGaJkh0AKRdBYe2CaNUkikuHZCpIF9rj+mGGW0cmvVyDt2X5RcYDViDHLI4lkiZlIkWy2v8Aw9ycdb8Ps6NFXQrG0kQjBAZDsB3OKBltNqCsKdUcnr6C3pi45KyJImljqA+lh74STtUcknZafEXi45hUiLXzoXAcGeLRIvaxIG4++KbS1cqVLLywoYXB3s364sGcVn7VVmkpkPLAvOi2ZRa1re+K9SwxSyszRupVOp6YnGkqRKQ3hzJ5kjV5hGCnmCi/TFtos+p6OCmaGZ3QQaJRIQQ6m91IHuL7Y53DURgyXVxcWvtue+GUmYIlBTiN9Maj0ux36j88FxUtpEnsxjNPT85pRVPqQEegX6fywilzBWqeWskwLXAe+33xLE6B0RrvYfJe+o+pxC604kYMOnmCqDdTh607I2pvkxErqDLzZvL81unXFly3N66LJK1oq2pRFkBMZfyEd7e+K8srSRDRGzB2tv5WP+f1wfltHUy5ZUwtLyGZwwKgNYW2B3wHuOhXmea15kjU1LcoNcCQ3F/XBMOZVsUYdZNai91vthZVUU9VVqZpAVa+kjoR9MNly+anpljFyhB2GGbvYzdktBndRSVUdSiBqgNaPtpPrf2xfqzi2sm4ZWGaRLtbQWKnSe56XPpjn1QhhWPSF2Qahb1264tM+UauEaapLEyMxVKVY2N7G3zAWxyzVuw3tQI90ET08yxXG4ViVPsRhbXymCWNLgkC45bE2ue9+uG+X5bLXU4UQSQHSFVHUnv6DE+YcDERanzOkiqg+ho2SQ2H10++HYsd3RDHXNHT0CvFGzaB5F2Kg9cVzPaqjkrgGWUHXbc3vYdQOmLNXZDSq9LTjMqZGEYDFA4PTdtxfFVzPgPh2lJM3EMsgLbmpqJFA97m2EUtLujphjjLaUq+X/hJRpSS6lsQCum9ibH2w1yWoyrK66GXMa6TL6Oaqhp6mriQHlI7gXt6C+K7BQ8HPVQQUueS1rgWanpHnmkY9LWQHDOLIqLiKkzCgyLIq+qqeSwjqahuQoI7AysDf7Y58uR1t9zuwdNBTTm3XnVfdo8+eMmfV2YeIPEcORZZV0dE+ZtGYaUsVmjS4iLFfnJHmLdLtiv5hlXGmeZtJXRZXUSz+QPVlNLbLpC3Nuw9O2PZnA3gJFnc5qaPOhwhDNAInp80rPjqlX3DKyxiwAIuCTexGLlL+E3KKyKQnxOpKqcoHMdLQwoAQbBmL7kXPQb4RdVO1HR9/wDR7ksHSY47ZU35f1M8RSZPx78UGNJymnpxBWConQfFxgX/AHt2Ja2x/wDiML14xz6GejSRJKkUFOaFI1Q/DsBdUkYg2ci/lv3GPacP4R8oid2rM/zSrzGKN9UtFPBHG6jZe2pQQdxisZn+GDhagykw5lNVV07ShminrnZDuSFKrsB2v98dUJZH2X9+p5883SraMpff+DyS9bFk3OzGqpKZq0IEWWqqEOg/6kQG+pbXv2wjpp6XMZ66YSLLUSsCqJRyTSSvcXIsLb+pOPVlJ4O8GZTDKabhmgepl8x1RNIiEGwCEm47Xv1wdJkUWVQtyqWSOcoPOtPyjDb+FQBa2+OxRm9zhefGnsmeXcjyPkBPj+C8yr6h31rHU1Io6dgD3spYA+gI+uOmeHHBfFWaeIuT5UlNlfDOToKvNXyyi5mmNI4GckySamY2Fhv3xeny6eeojneCWRmJDCQbsb3sPS+HWQ0WYUHFlbK1HLEIsprRIXBOkNGFCFum1wPviWZOMHK9ymPMsj00SQ0s1PFDIJZfOgZZSCw+o9MTQ1dWxDSza9G6O1hcj2HUe2NY5noJI4poJJIgn8L+Xp0GFxl5MRaWndpDdgGOxHrjnZ5Hc0atMlSzyqHcd1F7m3W+IXLrUAgsmnsTbEVFLOXqXaMRuGFo2Nx/nXG8sknxsQCgByCQTextscMkOzWWRo6jynmylQ2rcqfYnCHM84n+LmiRAnRtQBuPvh3LOomQFxqLefV0AGK3Xjn1pVbA36g31D3wyGhzRvPmLSIqFhcWIKnr9cTUtUxhJ5ag3ADFvMPXA8FDHOwCgOb9NJGHtLSRJGqsgDCwFxcfX/PXGbopLg1yypjpaWQOjM56gm9xftbEQzhXqXY0wIu2g3tvtbB0tPrDSgLZUbZBYm2+wxQs34upMn4hy5KuaSLKZkSSpkoXSXS7r5FYHoASuodrn0xo+/2BDG5ukWdc2MkjnkJA6b+VyTY9v98LK2sn1aHVmbpf5sUyh4rquKON6CjyymatVat4Iqag80sysbXZr9gt7G2BajxBq6vP6qXlxPAS0IWOTSqBTZSw7EAbnDqN8FfClGy+5I8scasqltXlsFsx+vthjW1EtZ5+jovyq9tsVXhrifL583zSmSteSigV5qaoqYtOuNVu2ojYea4BPXbFokpWOhikZVx5bX07jqPXCPYMoOLpiXVVtUhVb96x1aT0tbfE8SyGZ+Yisymykj7HBU9I1LFvESSCCQLltu3p2xtChjpkRgZGt/C2rt3/AEwE7BVMTVKSrmB/eWCgAjr17YgqISFaRibnde9h1t9MNKijZFDq4D6bsH337ffCadJIElYyHvfa4GGKADSMACqgt0C26YBqBy42ay3frcW39P5YOjRkV/MWDC91FrnvgCpk5utUjLNew1dbfTFE+5hVmbI8ccZNnIsGXouK9VQfEzRhSxIIst7C/vhzmcIedQAysDbSPXC6dCZCH6obnT1t2++GbsZPsSvE0MbluWuk2UNuoOIZZF0kMUVwQQQNjiSJf3R1bE2JHX1640nddbMmo7C69lwyXcLfYlRIkhEruDckFd98YfSixgm6kaul/ucfLGWUaI2EZBOrvt1v7YOiqEkiZlhEouLBdj/4xntuITGPmRxBdYHyhxYC3vhgsUcdPFZSwP8ACBsvvgenqFDnnEBVNrf1wesKyiNeYD/pGnqOu3phjA87/Dq7rZUA2J6jEdLWJKvMWxYtp1fwna9rYzWTF0mWwZk2X0YfXthQuYT0yiJVEuizaW3BHcg/TCN2FKxsa80zpIEJK9juCMaNXPzdSKWcsdW/UfTCpM1dnUuIW/jABNwD2wQKOeuU2ASMHUADv9DhTNUbVNZMYZWWRhMzXCjcgHuPY4my2efkgzeaT9RiSDK5mjLiNIFYWEm5I++N4MtmWcSRyoFRShDGxbbrgp0AOjrGiQPUMoQEixOw9Db/ADriGprxJIqyuSD2UdT23xlKWcwByy731FiB+mIaenMl2YlnBsBawxjG0aPNBKiuUUtfVo3/AN8EwUppYbq5aJtmJNj674+NPI0akoS6dAdsFQLI+khRf+I374bUYHkIYgFk1D5S/T6nBTiIKbEa22C22v3xDNAacEsAxAvduv8A5xFJrMSMh2F73G/tgcsxO5AVARplViCoGx+vpiSSo+JjQNcJqA0r2HTcYGCvM4dyRIv8J7/U4zT0zNIFlAGxI36n6DGaMMoaZNKalS5uwA6jEzU5uDdkSwKDp36Xx9T0klhIxHzaiV6nBEdMZJixBKo1gvqLYUwqal5soJLRENYm+MhWll5RqroBsCbkDBrxL+9fll9JIIP9B/XA9REQ2oLpIXcEfy9sYxGgWOUiIqdrg9FI/rjeJpbRDlJzFJN7dRf1/XBGXxxpTKRE0dgQb72vjLQLGB2Gi6C9yPrjGJEqJX6lWI2JvuMSLyzcg8sMhOxvt6HH1OoRNagNcm4I+b6emNHjilA1G5sG37Adj98BqzBi6E8nOA2vcf1xo0cTO686OLUbnl7gDsd8RtNHDGyxgFipt2UYDJVBqcBu+3U++MlQUrJ6mJWQMj8xybgDff64X63pGdvMSCf3bm4B/wBsFRIrblyXZiSNXp6WxoCZI28mlSSb9SRggMyzTM0b2UAm5HUA+hxBDE8kr610lzckbn/bEyza5QIrLGdxc9TiE1rhtQI1kaSwOxPrjGC+RPFOnnVEJFkXdj9bnAE88yyOrB9d7W6DrvguNqrQTbU6stt9lwPWVcxldpCNzcv1xjA8sjRso5bOwIXQh6j1vjWItJISYmBbqosQAffEz6pUUhgY2YXtuRjaBmVZNaIOtgO1v698UjwYimpmaQKA6Kx627+hxHGzmMMrlrnyqVsCR2PriWeoSXSiyHUF7k9caqZZYVJIiOm116g9sExz+koI6inYI4cpfYbG/pjesypFp4nZtfl1MFO//jANHUFAxiSRW3Ie+4PrieslkChrMp0gF26+22MVC1o4lETOeW2n5Q5O+GUFHGsShRZWe5BPU22FsJYOY5jllF1INv4bYbUksjgXhaSy6lNyLj++MTfI0oIi8x0KEk1ABgf0IxZIefqdo6JXVdmNr6fVvTFRyQyJzJdRQkba1u1+uLTRLLLASlWSrjdCCL74wKNKvLB5HfSHF9LACxv3G/TAVLksitqAUSNtqXv/AL4ZS/DtGmiZmmHlKttpGPsuWlDDUzsCQvXv6/XGsD2MZVktU1SI4YXmYtpVEBLOewsMMYIZ6KQxsxWMHeMDoelj64Y0FV+z6lXp55qaeM6xJE9nHoARjdYqaestI8srl9bFjYm/qcI20xHKw6jaSIIF0XQbAjTb798WChMlO6sDbStiSt98LaeCCNl0oSxOzMei4sNDTSJE2mIpJfcG9+u+xxKRyN0Y/fVTqyllTUBqA6n0tgk0KQBoxKy61MhOnpcfr9MFCGtWlZ1J0o/kCbM4HXBUcGZNGnxAKsVtoIFx9xidi6hJSU4QK8ZBNizsyW0+h9sTSVkkdIFmVHvfzBF81/t06YmeElmDoXcEhbbXt0xFJAsqqHj3JCnfp7fTfDp0I1YLDWsCBoie4t5YlN/vgSVqmaoYAIok/iRQDt64sFLlEESOxb96QTcfLgCfL1lk0LoGmxGk/r/fDpiMXzmSAqWNmAAJOxOGa00sXDUtUCju0nLfVIdR9LW2t7DA1flhRRzDY33ANr+lsNaLK/jOG56ZZtMkJNQI26SLaxG29xgydjLgp9DVtNLvGAxB0KhPve98P4p3aNUClk6bdd8L/wBjNy0Yamd06sNO2CcuhkRtEjXuNQe9yD2/XBca3BdhLUgmRlZJSwIUKfT+uLn+yP2jwjMrVNVFBQIZFjUXCtfYEXsO+4v0xVYoXkbaZpNFnJdbbX327/bFpzHNKvK+BswsVkiq6mOOTWtjcKTt9Njf3xzzdFYFTpAYhFLDM7SgXB12Knr0G+I5zXNVScqqlV2Osyc0k3t79OuPqB3lOnppFtR2JPrgoR8mCQXCMdiDvrGLN0TSpkAaWorIZGD1AHlBdmIAHUE36YbyZpRRzLJNk1BVWNgtVqI+l8DZdmUULrC9PGdBtcMQQMHQ19LF5Tl1NVAXIeYsdJ+gO+Iv3nuUTcd0OMt43gpiyLlUCQnyiGmqZINI+q2v6b4FreIsqqVLDh+OnQqwvHIWI9yzHH0GaRly/wCzqQKSGsqEAn3ttbH2ccQLl2XO8eU0TAfKjqT17XwseaK6m1uUWv4tiyqqE1DFNFKpvrSUC4+oG+NKTxsWhMgqaF6+Q7RHVcjvve9z7nEOb8Vx5kzNPktHGrAEfDoU0W2sD/PFezTMqedf/wDk00YY2v5tvTe+OyIYpPkfz/iNqYpAGyKnZF+Qk7n1Bt1xEPxDZw9ZHNT5fRRutrRzbi/e5NsUfMLdRTRQqvRHW4Y/fFWzKSn3d1MRa91X19AMPt5HRGKfY7PF+IfOqKZHqss4ekVDcR6SS197kx3vhlU/ihzGsSJBlKW1FpBAeWCL321XPb0x57TiTLoeF66CsyyqfNZJklpMy1FIoohcMmjoxJtvhxlScN1Vfk0EvF3w0VTQtPWO1IzGkmGq0P8A3arAAjpfCavRlvAfbc6zW/iPC1xrI+G1knbYCpqOYB/7QFAGLRkf4nJ1y2OGr4doq7n3Tl1srMkYbqAO97Dr6Y8008yFmefU0d7ki4Fh1A9d/TDinqqWDK4cwEqOrswjQN5lKm247YMoRmqaJ6JRdx2Oy5tx/BmcnM/YOW5cqnUI6WE367gkm5GAafjETRMscUUGrzcwxL697jfCWPLqxsmyzMqmFaWmzGIzUryMG5gBKnp6EHrg+kmo6fNlyitqUgzJYud8PNC0R0HcMNQ3uPz7Yk4xS2OVwlG1XA0y3NqepikcwgyKSGcjSGB9Ox+2K9xNnsOVILtKtz5WWJ5Db/4g4seSxSTUdVV5XTNxJ8PFzjFlgEkqIt9TaTbYW374Bhz7Kc+VKikvLFMhKGNtJB98StXQFFx9+SdFGn4xjmpvJBWyygfMKJ12ttfYXwJJxhHSMi8siXWDplIRh9bnHRqvI1r8vCSCGaJ2H7t2ABHvv2xUqvg5F006ZdSQrfSXgZNfXqT2wJaqpHVilifMX9RYviBEkjgU6a1HUTLYj6gnDOi45mnVCmXmVV2tGS5CjvcDGcu8P6RnLsqCQhrGWrPpbcXsMWeHg6ny2kjMUNEpYeZhMpJ+53xGSlWx0a+nT/wbEeZ8QRZ7Q1FNUQyZTSmMxy1czaeTf+K1r/XFV4R8P6vigwUHCvA0/HVdMpR84zyZ6XK6eUeYmMEor2XzXZjsTtjvPhtwvllbxHQDiDLY6jJOaOfqQOob+BnU/MoNrjHa/FOvPG2VJl2Y1GXTfDxiGGgyxRyUjGzOqj+IqAOmwuMLjWRyrVsdKz4IY/y8S1efP6HkXIPDbjHLPEnhWpzTi/JZKSnzWOOXLuHYTFTUy6TYqVRUkt02v9cVar/CZxDmGWVmbZJxVw7W1CySytQVFS9HUlASdVnGhrgg2DY9LZLwdFVPlM9MVFPBXLIsCW/eHSw0gdQVHrgfhDicQU1BDVUyFqNmaOZlDq1zvdff9cdbxvmL7HPDq5aeO55BzXhXMOCZsvyzjPK67hSeaMrHm1RA01PNE5uGKi9x7oT2uMdqy7MMtNJSrHViqhFOvLlG+tQLXHT69MeguKKjLOJOGYeGOIcuhzHgtC0skMm1RESGAETHuuq4I9ADfHAuDuD8zzJPg8rgNSuXQiN3qZYk8o2HzEA7Y5cniF2+nyx95NP0IjVLWuqU4WdjuAW0+1/YY1nhqIIiuqIaf4F3t7Xw7GSZ1GVaShiET/un+HZF1i97bMfbpjWty001M6NQSic3IKurAnoL73wjnNcxJeFhfE6+KK1UJqhezKhNjpO1sI8xsyeQm/U33AP174a8Q0+aQ0p+Cyeqim//AJBpZTfr7/TbFDnzHNYG1yLKpVirCWIA372tbFoStcBlg07qSfzGjRSKr6SXa5NyNr4WPdVeRotb99Rtb0ON4M0r5V5zRs12sqr3GPqit1wv/wAoXn3uA26fb7YqpryElinyK1hM8uo3GkHy26epwtzSnWSVUEbeW+q1vKD/AL4b5fSyzwCeQaGN/K+xFj3HbGfh5KmcSFlDXAax3t74ZNN2JukKjlEum5DMVW+7AYhfLEHWwNgxVe474e1eswPv5rdFO4Ha57YgSJViJEpchSWBPynFBGapTtE/MVAQT/EOl+uxxqsKNUoxFl/j02HbBK2cMbHdO5xFYmQBmfUosCo2wL3NWxGY0SRRDIwXsxX+eMUSutQI9baFJtc/LbawJwfHT/u7ICXv83Yg9sRrRu8jMzK4b02se+CAX1FLPDK3nbS5vYLr0+ptgJ4mSYoI+YipcOdtr3/PDt6eVyrCZt77g727YWVsTQx67yknZWQfMfS2ClZhXUh1JYJp7Edz74aQTTU+jRGZPJ5tBvbC34SSpZiZtQvstiCPbDGkSXmGE6UUgKCn87d/rgsw0gqlkhO+l7hTffe2PoXflqGAFzYN0tbrhVT1sBzGnpRIZTUzrDEQDZST8xP9cS5VXSZhPmrSzRQ0lDbz6CeaS2kAHt674HA6hJ7pDFdcwYqDqXsTdfqMSctjouWS9jpY339MYrZ5ci4hTJ8xjalq2hjqU3GkpIgZfobdRj7NJZMozdstrKOennMSVCDTfVG41I219rG/t3w+peYFGXdEwjaPQ5kbUQSt+/1GJoTIWYWIuCQCbjbrbEFVntJTxQzzysIpAFEqxF0BsbBiNhexwZTS0nwD1MlYnIUDV/DpHe9+mC/IUlJKqVbyo1thvf8A3wHKrmUGzIBbYAtf/fDCaegTlVTVMZiltoJbbpsQRscT0sbipLNcK43Lne1/Kf8APXCJmF0KhUJuWBaxLd/TGEqCCDymJW4KNvf3GGKRmMPrs1kv074hihVwSx0htwy9ttzhk7MawVciNZhf/UvXe2DPizpBBJNhYKNJ+mNDAok1agwax1JsRbvv9MaGcGQXIVr+Q2339cCkzElVPeLeMvLYPbUSRgd81UkagAFW4Nrn7jG8jBnJZjeQhiQLk7YikaCnflzIrakI8gtjaTBdPmRdD+6stgxIGzDfbHyV0WtdMZOnc6Du3tiFJA68n/Vso0/L3GJEKq5IYqisSV07EW9cBqjBq5hDynkaEs3oNtXtgkLDyqduY7vIpug6Lv0P9MLIlWVWDWsoDgqNhgiKQpECGIVxpux6AdMKYmehPSxJCm239MRoiaQhU+bdRa1j9+2PmzF6dwjMGTrc9xjKkVakKYtIuSGFtrX/AKdMYxpT06lCRELk3BXYg4mfL+QkaOHudtS9Tf2xAkXLmCySaNrBbf1xO0jm6rIpubWO1jjGNIaanjl0Pp1qSpAFrjpv6YjfLY3jjDoNPmJO1z9f/GNKmoEspVm1W22t998ESVMjxJyiY0P7sEgdBilUBo1bL44UMaqwYgbs973Fh0/PAho0MQIAdvlK33NvYD+eJjO6wi7s7i+xFjf1xHHUCNSQLyo9lKnce+AuAn0hEMZjUFSV3IA6+/pgNYGBQEMBckqBf88GVA5sLOquhF7sG+bfe+IUcyyaWDKoGxL/ANMMlRgRrNByWXTc2Jt1PUY+pZAp0Rm4IDMEN77YkKhSthoVLkE9CfqcZiijGi2pAQSQdt+xxjHJqRQsa3cszBrKe++HlLl9RViS5WRrXOrYbe/f/bCykrIYpI2dQwLXIJ+vTFroZkqKYhVYMR5eYNxtgNlZbiRqaQEJpZ/9IA6/4cEU7y0rlQ2sobEi9tx3w0R1SRYzuyC4cAWx9AjtIzmmXSWN3I29ThdQqiYgqaqnjLKy6mOkkDpv0wwpRWwSNHp1OLXAO2++CqGlhMh/ewrp3CMt9zvhhE3LgqVkpF50gGmRSRb3HphfUbgrsMU89UHZTbVugFgxHp74sdMioIkCg6QSbjofr3thKtPKtUCJzpXYlRt/m++Gkle1MYY1lRXdwiKw8zfTGFpDSjqfiM0Rwi2Em2odB6YsCzLLXy6UvZNyBpufb/bCLIXjTNW+OimKK+orHYMb32OLNHV0aTyhYZY07AsCMY552nsEQDQyIupiwCllW56dsWKnnaCVCpaSWx1M3f8AU4SwT0LBiJp1YlSvmFgCMXCF8uFKvKkaRGB16jfUR/L64iznI4swkBeSO0clyRq3xmTNpbWd9Rt8xPze+I6asoGbzAvt5Wc9r9MFGaimUSTSKQSRoIG30IwjVE2qBUkaUqWUOy/xdQMTRwyRQiMFXk1XF7W3v36YawR5I9FKZaeQ1AWyukttW/p2xt8Jw/T5dAJMxeYFf3qDVaNtXbb0t+eKCNWA00c0ihEijDLtdztf1wuqUaIyfER3lR7XQ3F+uLUuccLQkR02XTymO7K8k+xY7XI9MKszzjL545oUo9UiMWWUOCCLW2O1/vgrmgNFbzGuiBQP81tVnIsAfQYKyDMW5NZSp55pIyENwAbb2BwHFNTLVxTVEPPiRd4zb8h+WGtdnGQrVNPAjCVlCtFYfu7jqCNr4d80zIUQZssoSOwi0/MXN9741p8xkpZJSQjHflg9x743kbKGUKryxpo3LR3OrsfphbTcgF1D2kJ0qxHX3wzYVGuAuPMXkN2UK/VeWd/YAYdZnNmeZcPoZIKj4ehukkpUgBye/uRbFeglhln1RTLE6tcK49PU/XFkquXV0ukV0krMRrgtpXSBcEm9icRmtrRVIE4ehMMRPmLMAbaRb6XwSbsCXlVJGPyFdhfYD++CcvhjNO8IIJtcEtvbpfGUywNSF1cMqMC0yn5fW+A33NSYqjhmgkaZiYVuFGgXLWx9laVMlVKDcEDVYL13w3oaammZtUw8921Brhf74ly+mghqZuTVM0gOzkXBAN9sTc9tg0bQU5XlliJHBK20kW9PrgXjGSeGgp1VDGG3IY33Ppth3LmMOoNGwLEXDG1yT/I4B4kr46mBVaRSpv5bDc23wsbbTZtkmc2z2KppoKeNVDHTra42G42GFlRXJJBDFORqB3BGy79rdTi65ocqV6cyRa7AA6322Hb9MJ56nhaSnZ62J0KbLJHKABv0IBx3JeYYxb4RTs+eBQ0QmMhUaVBI6nCbMYKTgfhLIuKa3LjmrZpmc8FPSyt+60U4iZw1u7GS30Bx0ei4X4YzuWGCgWtqpN9bxoQtj6sTbHSvDLw3pocjzLKc0jnbI6/UaSSetpxBGzAq7Msl9BIt5l3vjmz5ljg6380e10nTynkSk9Pk35njTxE8Uq/j2rljSmGX5PBNI1FlikEUcbG/LBsLi++JoM9yCo4a4Uy6PKpqGvpal2zbNJH5i1CNIChCdRpW4sOu2PYVX+BnhKOX/nM9ieqDFvh8qLVNh/DzG9foMKz+F2kyKnY0vDWQ8m5112dSVMsgF9jyl0j+mOJdfh20pnrS6DLbc3GvO9vsebfErjekzCop8j4fzaHNOGMjaUUNS1KIJ5o3bUwdepIJIv3AGKmM1yKDgzMaefL80p+JZKxXpJ5GZKZaTQdQKHq2ro3pj23UcJ1WWU5joM4psn0RKyfsXII6WN77WVyGfte9wcUDP/DnP89zOkzmqz6gzTN1VY45MzoGrKpAN7EytpAG9tre2OuGRyjSTOLIoRk3Oa+VnnzhnjhV4Gq4o3zKoziGZGhqHvJSw0/m1BQAdLatPfDXIuNOO5eL6bis0tbXZrTwotNWZlTuyy6NksWGk27DpbHaqjgvOM/yupo5vEPiiSmYhjTQpHQ0kbAG140AFh08uK/m/glw/mZp/if25mM8LAyVGYZk8iyKBuig9L+vbF0pf/k5XPEn/kUHL6PxF4fyrNamTPKbheWsZpZJKnN6allcufOGUNrK2PQDCbw34ly/hDJ5/ic/hzOSdmK5dQU8s0sZBI1FwAtj9T1xf8x8P+GMqnp5aPhfL6GmS7WkYzvJ23JPTCihzCDKs9WoSipp41k1cl47ROOoUjuMFxaW2wuuE/datev+iw+Eme1Hilxt+zP2NNQ5PSZdW11bVVTkOGip3aO2noNen+WJ6wstMOZDEJCNTAkajh/4O53HV5j4o5sMugy9Tk60y08THlqZqiNSq+xAbC6prcsZQi0ZD3I1Ie1vTtjmjep/IhlUYtaELaOrVg5koA22nY6du3XBNNVU0wF6VtBPnuQfy98Gw5nQMlv2eSzb2JN1tiMVVEiIFj5aA3KEXsO9z1w9EKYQ+b1UJYUkskYQA2jm6j3PYYc5N43VGSzQzTZFAamAaf2lDcVB66r36g9LYqUuaU9LK6xkDmggEE7YRZpmImv+8ZwguBfYHBUV3HR6g8PONuDuJa3Jquob9m1UMss81c8sce5FhcFgb7nse2KZxd4icM8KZlPTZFltLXUbgxwLFUkTxm25lbcXv6HHnVs6VyqOqP5tLkx9B+X640aseZuUrCOw6Afrimlp3YdkqoufFfFk+cTmSCkpqSMnyxxuzNq/1ajvhbGI+WEaPW6m7BWsGGFtHSR5ikMaSLc3sx26dR97Yax5EtIoVSI1bZmQg3PXrgSCnROtZGq8lKY73uRIfLf3/wA64naRAiCOJjoXUfO2q57demAkp54dknLqx6bAX7X/AL4kNNXK38BQHc7XOEG0oMGYSBGYs6j/ALibfT7YGmaOokckFtKeV2Auf8vjU0tUiySB1uTYxp63xmejq2RksLkEkEdDfGQO5HAFIYKFNxdSB0v3v9sI6hSshJYPcXFxuuG0dFUxMdYe1x1Ft/UYEqqLUZWMhbyliSL73t1wRqEk8yRM7aink6je23S2NJYl8zKzK22qy4Nlp2jJYaWLLYMB19cQwwCRFHNVUa+ole/0xluECmphKjGOM2JuSd7Dbp64keAGHUiL0A1Y23hexIAYi9ye3pbpiSJSPIAGi7t9MUWwjW4PBTNqchhcXuR29MDqj87/AKmpL7n64cQGNCzbAHcIBvgKRCoaw8j7AM1j97YIpLzY3VUJ0C5BZOgGMGWJJDGTcW2cC230xPDlMtQ4CQOb2IJ26DAU9A4kLaZCVBXSMYxIdwAqgspspAAFuhxBUovOuCbjsB367YlehlWMa1aFdPQ33He2N6jKpKeLzwyxlxeIyg77f2xuDCxKduXrjPNn0kEhQq7YtnB2c1OW0WZU8eVZNm1VMiTR/tinMsaaNQIGk3Fw/wBNhfFfyzKK2okWCCOoqH3VY0Qtf6bYvXBfDz5IeJYs1gNLXy5UDSJIoNyJo2bfsdAPTfqMNdqmFWnZyzibh/iqaOCppuF6CF6YsZ5cqqbxsDuoMbN5SLdsVvL88r8qgnaelzDL6WsUJOWo2MbAm5B7WHUHtjv8uQT/ABqzSQOyNGwAdWt5b9Pa+DcqnmpnWo1T08Uo06Dt7HY7ffFPDfZjLOkt4nDhxNlmaZ5lk81VTV9NSyoBBUowaVNW6uxsTtcdehwzPGYyvPM9zDIpWFLUxywbx8wwQynSIwTe1hYCxva2PQdNBkDVkk1bllNmDTRRiQZhCkyjQPKLEbde3rjFT4KeHHEmamvqslho3MagUOWlqaO9xdrgnzDCSxS4oK6rGvNfQ8/5jWZLT5Zl2T5Zmc1FltVRwnN6UlmX4hC1n3Asd72HTFn4YyWh4y4tfMazikQ5YZIJqmtNGpjaWwCq0QvcXUA9Bbc46Jm/4bMszOLNosnznMqWhnhE1Hl8lfzBzlv/ANUsCSCbHY7Yb0X4amoJtWX57RZ3HXrHHmuX5rl4jRY1IN0kjs2pSdrbkeuJNOMXFRLwy4pST1r5p/smU3Icvoaep4pq4ZcpiinEtKtLW0zGmkSRbs8ZT5LgALpBudhin1WZUGaUctHyYcizmhmDUtV5zPWMVCfDOCbBFC36bffHoPOPwkZhmOcwT0GbS5rEWikXlVjSSUEagDmIdI1AG1kZb7dcF5J+FrLuH8wpM/zrP5a3LIcwQVj0+XCJ3Rf3h5pZixJ0m9gB37Y431OODaaafqelHo55Y3Caa9N+f78TiOZZRmOS1DUeYLGuZUZMc8aW0hx1F8Lw6PTkcrl77AdLk7i/TDPiGasHEGZV1Wk0T1lRLJom6+ZyRv06W/LCOSqeNLPpLnzD0Pfpjsi9Ss8WUXGTi1wEMROkrhAir5SB/FvgTQ0fRVF9wW3NvTGBVsYgqgBl26X79cYaazyME81gSzkm3oBh1sxdqJppyKNWCBb3W6EaRiKJXmjLALIVsBYXPrucYZnRHV0VrnWT6jb5fTpiSLMEkDFYwCu90Fj9P98HUwELSVaEFUj8oFhfcXw1ediqJpKLa53HX0wDJWrPHG6j94NwehO/fE8ldLMFVY1CgXNyLk+5xm2YmaeVUMQC2e9wejel8Rc5oY1NtZtvYjr7e2PjUM0RKIbN0sfz/lgSaqlVImB1atyCOpwpje0ksyGQAAgkX274kLrFUtqYup8zMnUHfthWsjyg7bjYj1xukrMCCwW7BLevt9MUpMw2STWdJGsKTqZjv02GMlzUB2RF1E/O2x99sK5JXNWyqAFB6rsqn1xEDLYqoJ1EHbY37EYVKzDeGOUqwMaghuhFycTtMG5ccsIVVPyA7nCSmrJqWpIcta26tvpwZLmCzISqAsANyNrjDmDpIQqM4PyvYAm3XAjAqqeYMGO7dDiAZvzZ3LjS4GzEX6+mBnqSzXUgFbAFhjASoey8xIV1OrAgeVVBHvf3wDz7ud0QKTpt1/XEMkxEbDWdWkgC5A7YEDM19RYt0YW6DGCHyzxPptIGYEjQR0PriMVjchY5NOtNlOm9/b3wI0i0+og80MvVjYD3GAi/NUkNsDdSTbfGMUrjCnqeCc2GXVFNzHjUNIt97E7WPQ4vlDwfNLwTJxOJbZSkJnSo31SKCLgAdwTvjinEvFU/FGYxS1JLJGvLiRT5gnv6n3x0lPFVRwDS5PSyV9OY6Q0UdOWQQqrACU+XfUbDtvviLUtmjtWNVT5H1JT1suS02Y5RRRZrCYzVTaXAZIVNmJB7gnFbj8RKCGGYVgnDLJ+6jjiHmHfc4cVFbk3E3hfk9Lloov2zktI8TUNPFJGXjeQmSWSQsC7DY2UEAYp1Zx3XVeXx5fDl+VxxfEQyxTLANcTxAgeb0a+4PWwwnvPsPoitrHuf8UZTU0ipFQz5VmfPim162IWK3mDJbqdsdTykrmfhzmnGGTwVGbZPlIT48LGF5MhIAQ3PvcW9Rig8aZ9kXii2bZ/m9N+wuIamkhkpaiBtUDGJSJA1rAa7bC22wxVvDDiyu4bkNfA8EdHQstdKlVOESQhgoBT/APJ1+UC9r4k1KXoWcY7J7nRMm4syXN+GqzM2aQRUZtPHGoDKCdjv67e2Kxned8O6JqWJWrc9qpopafMElOinF7GNux27jbFWzKqfiXjLOqnh8DLsvq11yZbTRGKGw+ZAhJJW++/5DC/Oqvh2HhfL4qTK5YeIRM4q6pqjXEydV0J/CfXBSoRRjb9D0DxLmUGU5tl2R1lNJDWT061CMrgLIoOm+oE3Nwf1wwyoI1QWlV0jVf4Tq1H0Jx588OOJZ+HuNcizLT8StNOo5Uo1gxsfOluwNzj0TmOWDLs/zLLRdYIahgi2syofMg+wIw1UceVJLbgbU00SRhQAEPYqPqb4bRzFoA8JVT1Kj+WAaOnpoog0YjeQC12HU4ZTTmaExhYFNtVkABGNaPNkqFprRAoKxdfKdX9PbH1JX/EFQbKFbcEkWFuvvjNXMqRkJT824ALlrX/tgOlp5RCJ4aVnub+RiRp/vgJ2I15jxZ0jiicP9TvsL4IScVWrU0hNtlXaxOwNu/bCyhlknhctAzLtYMbb+hGCKSadZmDwAqn/AOR9yPYe+GXJIawnlyG8QVQtrAD8ye2N4qemMgMhKQsDquenfCdp31M5VowReyixx9I2unCqvMY3ALAm5wzMMfg6OWNrO0Y2Y36D0+u2A6taSEqXiSRWPRfLc9rHC4PMnN/hb0j6bfXA9VVqjENqNhezD+L6YybMo7k86Uc86lTIuoaipbpbsMQDL1Ry/NF9B2v0OAQyyyiRJmhsADGU7e/pidJzpYu5uTdDYW/2wG2VUdzSDL5sxd+QwAby3Y2+th1OGsOU1VLTmEkPMCGU3sAB1BHe+FUFdKia0ka7EnYDofQ4LfNpqizMwgUb77bXwjbGp8DSnkzCiEvPblkrsWW+2CMqzSaglEigiGQHXE26sO98B5YzTGQicEEXuHJ3/LbEUlRJzHU303JBdrgjuO3fGtMm00xrLPC0kppTyo9iqBbBRbfAtFVVyVbAMmjp5VsR/gwJDGkTqKgFwOqrIRb+vpg2hraGOpIjiZSBd9Tm9/r/AEwwXZPNLV1CMtPABI3SQqTva4J9sUziWTM0WMVWfRUoJsUgiVTe/W5OLlmNJS53EkcsEggEbFkgmZFa+92AO+K5V8NUFHGppaCFOoDP5yPXc3OBu/ItjeOG7bv4L9yl1kNM8hp3jzDOZAR5tTaD9xYY0pqyelIWky6GGxFw4DEX7HFiqtdOSXkLIVshDW7bfXphMCwmcNC0u+pSuxxZQTOmPUSvZfr/ABQU/FGY0lKQZmOqwEZU6VsfTp6YGTiXMKxQxnrpQ9ldIECC3sbdsb1shky5gtradnI6WG18VaaqmpqhNDugB2KMQLd98Hw4eQ66jKn7rr4bfav1OicO57n/AAxWyy0NRPTyzEFya2QFvQsAbHF1yjxU8RFqgk+e5XVwadCw5gNQUH5dwL7ddzjhY4tq+Yx1o9l0jWg1Af3xvBnk88r3qGC+UEkAH6YOiPkL4uXnUemKLxRzSCGCkzeu4dr9bESNSQyhwB3vcDE2f+JNMY56Whyc1chXQklJIES/rqe5t62x5tTMakNZrNEp21HqcWWk4lrEg5UUohiBtbSASfrbEnjgnsgPJJ8/ZHdKLNXr8lT9q5IaMyAFJFrlazDrqUA7YOfKsjzWPRmDSwcxTqekAUfa5xxDLs5zCWZP36yWN9rEW7XGLPFm09IUeoEbknfSxIH5m2BuuBHPzH9b4W8M5hI1s5zBYgANBRXKn1Ht7Yhb8PWRZ3PEiZ1U09MsagyPEiMpvv1O49MJmz2SXW0k8ixgXVY2H67frgqWviqEZ2lcpYkM0psAMC5dmJ4jTLlk3g14b+H2R5tSZjxtUc+veNtKRkvGY9RF7A33a+/pjkHFGX5DQ1TvlOcNXoHsySwmNgLXDXOxwbVUtFJNLIyMQbqq3vbbbf8Arisw0FLJmEyCnOtVszL0HtidyT3ZXWpb0TQ1A5RtKrlhpYnbEcWYpGtmAc20kBdRO+HUOT0iSMojBCLqYkXY+1u+JYKGFZJGipDpAAJI3G+Nr9DWVurpkqZNJJLL5lLfyPphXWZdNEo5cZ/em1wLb+uLnWCmGpikiy6tOkEEdOuE2YSCq0wCoARQWBl7fQ9sFSsJTZ6JoJ1LldbD5r9MAx0cZmBEjMrNuQLWw/A50chDI8qgkG3YdLXwJQwmrXlySlXHyhQv164vaME5blUbRQspDbGzF7fY+hxYYsqaWlAjhsh7F7lR/fBNJlKpTxTvIoVmC76W0v26ffb3wbUI5pZYo2WS5urKtix9BiUpMwlgpjTM6yRgMpt5Tt/nTBBkplVtJ1MLMoYm+2I7uP3EkXKZLmxHmNt9/wAjjb4aKpjYy6o5mXUFc7MPUYS7Y1shOZRoylXIYm4J6kjqcDy5nUSUqsF52snU1rbffviZcriWJmNuYoGkjbV9B0xJNk6wgFYlcd2diSNj2wWzJCJs1mIbS2wbVY9h9PXGtVmslQxCxr5tzcWJ9vTBixAPYU6EgWIAHmHrYfzxieij0FpYVbTewuBY22Jw1ocSVENRY8teYBsRp2HsMYkpHWFnAtqFyCdx64MOqOJY1VQDZzdybYiaKWwC2YW1sVbe1++DwYUvS612ZgobfUdv064zJclUQ6BtfzW/wYNeikqJUIH7x7jSpsAPp2xHLG6hFQIOgN7WG+DqZgEq8Ye5cuBcb2v98Bx1NSZOWWZW3NgRbb/OuHE6GJ2RrlgdIIO1/fCpZpDIZYzzGUldNr/X64dE3yTR1dcrLqM3l3vzCd8FRZlUJdCHkBINwbW9iO+CqKBTTmVib9gd1A67ehxutHGI7F92NxqF9+mGToAbScV5mVEfNKJpF/Krm4+3pixUnHtVyo2q3jl0eUNKB0+hxTZaZhGjr+7JuB/4wDLy2pjGRdhswtubXwyk0JKClydHl8VaslDT1RgdAUDQqqgL02AGJqHxkraB6Z4zDUSwMTFJVxRvv7XGOOvTSq8hjA/eGxUC5/PAMlPLCUETa26XBBB+nvhlLzF8KLO/VHj5ndW001ZVU9TLJ8yywKLb72sNh9MRZj44S5lTqJKGj1BbF1SxHr5bY4QtVVMNJ6N2I3BxFM5iPMnmLN00hux2vtg6+wfBj5HV08Tag1Rqhm4p5ASBEsCOAfoR0w9h8bYqeOBSiSyDUXdwFZj67dPpjhrLAI9QNyxKkr16dd8ZCqLFdDMpsSx8pH07YHiNcDvFB9juTfiCmVuSyUXJktqb4a8lv+1u2Car8UVdDBHT5ZlNNC9jrlnQvv2sOg+uOF0iKY5TIGLrZWfqPt/fBcboZmja7BSOgI7dj+uBrkDwMfkdppfxO8WwIAs6c1gSVaPTH7DSLfnioZ34v8U8VVxqc0zaWforRFv3TLbZSvS31xTJFaFQJAZNVvMpGoHrjakCuoCQiRupaRrff3xOXvqpFYxWLeGz9NvsdDoeMoHpliqomgRr6tKiSIj3jOw+oIxJLlGX5+xmgRqFb2aakvPCPUsnzr+oxTqbmOgfVCwP8K/rhll9SKFllhqWilVrIVaxX29sc/gKPvY3TOldS5LTlWpfK/79PiGT8K1UUAnj0V1JYk1dI4kjsPW26n6jCg1CRxk6/Mu+wJuP64tKcX05eOWo0sw2WtpFENTfsWPR/wD5DAFZmFPWmSprY46li2lJ41EUlugJUDST9fzw+OeTVU0GePC98cuf0+tP6X8RFOWlgDBL3Oxcdu+INJZ1IZYlHzb2Jw0zGOnX/ozieFlBJEZQqe4IJ6/TCebTIFRgVDKQSeth3N8dNJ7nF8QgQhYrcxkuAFNrk4lY8pAHYMob5e5wDG7RhVDWU2UENf63xq5Yuulm36b7+u2DRhizBNVpAsYbYkWbfscR8nmSAltSHYL03wLLOkaMdwCLsANgR74xTVsjkuzEKeoJ9+2J0zBZiJAUWU3IsTa4tj4U7RugWMq2k7r1+uIxOxHJW5Yjow2+2MwFm8rLZStgA3T3w6VGJZqRistpAGI6W3/XELQSQoRzCwC7HpvjUVmqQosnMGoqCRbTbEbZgOY0ShpXZdS36W9fbBSox8nOjl1uSdexDdzjElK0hAKyja19iTjB5hQtI2gruWtvb+2MOXeLQzaCwNiGI37b4xiT4MaVAcRsD5iOun++M7PdbEaz8zYjVwV0XDSgWOlrb/1xvTyaXDM7WJGjV0P1GMYlskUdlBdxe2o98DqGc6tRUgbxjBUdSxllRmV0Y+a6dcac3VqVkjVASBsRf6Yxhc6iOndpI2vquAb3Hr07YWyTSx2K2AU+UNv9j7YdCS8my67+nYHENWst1jYJr1WXSNr9vr3xgrkrcf4bPERoa9oeFWqFoJTDUmBgdLjqOu/2woHhfxbluW/Fy8MZlS0puxlencpHbrc22OP0/wCF/HTLqlHSaogp6tGV1lkQBgR1XcWOOiUPFeXcTIKqaPLq5X+aKoQEP7kdD2644JLKt0zrj1mNv8yJ+PnDVDT5XndPU51RZnDQcxRUGliZXdO4UkWFxiw514dR1krycLZkmc5HzSyPIphqIvRZEO+oXt6HH69VdHwdxDlc9BPkVEad4TDJBTOFUjuDbAcPg54aimFNS5JS0ajlhI441LlgoW/Qnp3PXHLPLnUrr+Dvjn6SW1bfHc/HrOeFcwraCmoaCr56xE8ugrLxPEx+YqD5Sdut8Veq4Iz2gqAs+XvFIOgdbHp7Y/Wjjz8EnCGdxPmnDEVHl+ZRG0mX5y7T0lXfqHPzRsfVTigyeFHh3SZRNk3iRwbn3Ag53Lgz7Lw0+WQWFtpU1FFJ389x9MTl1rTpo7YdP0+X3sbf6f1/I/PDIco4myP4mvogKZ5YuVIALyOpPRO46dcQU/h5mWZCZ3Y08zuDpqBpuL77/wBcfphS/gqyqgoqfMqSCn8QskdSYajJMyFFOVttdTdJDYja63xauBvw/wDhRnNctIMvpqOvo9LVdDmFO6VJFtwwlYkb9SgtsN8Qn7RpcF49Fgdy95122X+19Dwx4IeCNBW8XZbHlPxHFebRuDNogMWX0vS7M7byadztYHFsz3lTcdZlLFOamJ6p0Epe7soOkNfve1xj1944DhvwdyDMP+H4oqbNsxoRQUixgAiIAhnsLWA/UkY8UNUwpmMLagygAFgO47Y7MOqa1SZ4vVTg7jjjSXzLE8qpDIvlKxttbYW/viRszpHphGLNIeiW/r9cb13LqKJOW6KBsuwwj1GKMkuOZfRYHbHSlZ47imNpJomi5UjCNnOyhf64Z0FTFRlUiVpI9IAs3f64UQTciaNtGu5AUEm1/bDyg5s5lflpyY20ghgNOGW3JBx8jDR0/MklRZOXcHQDe3rfE0GhJFeBtauCvmPU/wC2Msix0zLG8cZ6SIoOu98RCT4WVCNLW3Ok+3X6jDrkg15H0kc8bkqiuAL6w1zf6Y0jZlfSI1TuSf8AfBc7JMmvQSxAuwHXEDwrUsdjqALdbC30wzYKsWrLGZHNmdNNgtjtv2OAZagJVsphDaktqB327Yaz08rxmSMLEirezOMLEjM80AYxxRatWm1j98BOh0gPM6jnSssMUirbzNGdxYdcb01BzKULpef+Jbk3v+XXDOeeliqFjDBOq3XYkgDbGz5rGI4+TKYiWtYDdrbnbB2HVrgEpeGK+QbU7SF2uVbcEDthvBwdmMeppQtOlv4nU6va3bBFGWrpbvWFFfq1tlFvS+LflfDmW1FLLI+e8mUEMsZh1Fye3X9cK1Zr7lTospSCpEfNIZ/nCj+vQ4JqMopzRMDMY47EEvYWOLPHkVLHs2YAMFOkLCRqOFNblNLVMQapda21K66VU+vf0wtIBW6nLqSINE0l7t85YarW6XwvUQSVRZJiUvpKqm5H19ffFhrOGZQbxaXUgnZwQR9xtiv5hQy0J5kUZDKD5AegO1vfDUzDaJdIEbMAHW6Fd9u18B1+iRJGAZGTy6el/phcc0kij5Lo2pUtYAgdR69v74GfM5JFaAoqNJfqLkD0xgqLIc0Zp6YERqXTqRsw/vhUkQjfUYXMliy6gdx9cH1lfIlM/MjEpVLKOm/97WwCczlkhClJC4Xa/X2+2Kp+RWMWtgeuheOF9DMutSCjDY4qksMokjXQ9wNTIw0hRe2Laa5TTlAsj+TfWThS8kkqyM7Fw6AELv77/fBUrKpeYlnQlyFpWOo6yQnbGFjiVxzYmZWF2LD+Lt+mHiPK1PpSXSP4iFvf2wJFKwezOHlUFr6fKbdvbDJ+YwJDW6CpMWo2+Ui5I9RiyZZPHLGqMl3Pm0ja3pthNT0x1a7rr6i9x9cOcnQMscsgEW+nWG1beo9MJJoFbDakkZlKLG17X0Dqn1vixfCq8ai0ruBcm/y4EpZNKc0RCQ3IOkDzW74YtWxzB7xlLoLKe47YlZyy5IXpSsAuS7AeVB/LGZMt0xqVQDUf+mzkke2J4eSgmUkopGxAFgR0/U4zU1MMqapJJY00XPpcfTCt0CKtkK08xk0tHZWa23QnpgSbLpVlJjS4TYm2D4qiBEDLO/LLA6mJNjj580pQwSScEsbNY7ab9cTbOiJAsEgR45KbSu12B7nBFHQSsjc0eeU21W2Fj1x9FUQSzsVlJRSLC+zW6Y+jzNUZitQeYDuGF1W/a4wlt8D0ZrqIyayViDLuAy9be+EOZUTzUjI1AlRqFwieXSD6YetOZpEWaRnU3Xym1vttgGWmo57roqebbaxsRv8A+MMpNOglQ0RZdPIk9OxBHlBsSB7YTmqp5KkFablBtrg4t0tLDFHJKSwPyhSdVsBulJNNy3jA1Hym1re98V1JBoihq1CaRFtHuBq6+uJJs2LlAEYeSykbhfbEhpqaJTHzQbbhiO+JFo1kVjEmpF+YKbnAbTMqAY+ZJUByGbXc6gL/AODDGzqQjoQeWAotcAn1b+mIUqY4dSxwmzeUB9tO2/8APG9NNHOtmEsar31E3G/T2wnJn6mZUlmjQfwhrDlrsPrfE0glafUuv5fMelzgyirLRRwrJG8FyQBH1sehJwTJUSSwQuqlowxZpFWw9MK3THVdiqLDUGKQMj61NiL2v9e5xK9A9XE7yRESgdC/XDhImMrhlYXNtR2sev64kipmiVnKvqNuo2F+l8HUglSqsnfS5IQLY/IRsPXAbU3Jje7NaOwOkdu2HmZU4EzEIIxY2JvYm/TCmGobmN2tsWvt9xiqdoJAINmZdWkjWrXte/Y4C5Uiobx7iylTuPrhpW1xIWXUvKbYKenXCZqxxP8AuwrIvtax9z6YdbgdmGWUdootNzYg2+mBo3eOSMpHGqlSLqLW98fVEVRUorlgpUG9zffsca0lU5lZHDRLb5TsWsMUJML5RZQIjcKwOnt74ikDu/n1rbcabkA+2HFatEi0oppppLwB5iyAWk7qtibj3/TC8alBbm6RawuN7+5xjAqhghAayrcFh3v64j1OsYMkSsA3zG9zj6pqdScssLDb5euNJ5pJU2PLdh8rNc+nTGMRVcroxEWohtlB9f8AO+FjQyqSFfS2k3IvcHvhnI5U2Z9gLE6dx7bYjmJUqeaixjzFVNzb1vhmwq+wgmiqtpA5CqdmU7fljChwoPUyDzm9/wAxg6t0mUCw2e9r2sP5WwJDHGZgVVt9rafXvfClDNM3waMCAVfYsBf6fXE1PNy3Z2UAEAEaep7bY+DwwLpkVg4YEbWA+/3xoZDKzXfki2xU339sGjDSnqmursp/07mwX/fH0ualYwFjFydQ1m+3r9cLoK8clVkUMweyrIhB3t1vghquJzZYNZtcg+ULjUYMpjHUfvCUuDe56AYYU9O4GnyTddybG3bCalr441UMioCwbU1/N7YfRTxzyDSgQ3AbQ19/T6YyFdhctIkVNpClXdSCvYYiaFIJVRdPk2Ive49TiWWqjnVjpUqN9G+wwETGJBzCIw0flI3t/m2GSXcQlblktJp2Hnu/T7YkWQu0+xAUWVr7X9L41BWIIysXvsSBcDbp9euCYwhCFfKLXYE72/vg1RgRnQqbHzrs2+2IeYuuyoAhFix3JPsO+DZ9PmOkKp2Cjv7jG9FHCwdg1mv/ABDqfYYJgeCmjWnLMRKG6BB79cbyUcSP5W3W4YW3X6fXBEcrRRk80eUBQQbG18EyCmik+YiMqLlu5v6/XC27MAfCKzeZwyt/q6j6e2MGlgaOxCliba3uNh6YMQQc+7XAA2TriaohiWFH1E22A1Ai319sC2YCpaaFpDqk0SL79L4lqmgiESrIzEG9rdfS2MEaVLab2O7Da/ocD1RQaywGwuFvuQN/9sFOzENRyTKS7Msjm9l6g29cQUcUc091XmMn+oXLD3wQ4iYJONQ3UXX+H/BgnTEsnMQGNzsbEeYYYwLIvmUBm0linlPQe+NKuaClpTJJLZUsHci9vYYJlptETDcm4PXYeptgWRBODHpLpa+gj5rd74xjRp45EWWNhpfe9jsLbHG0coqowukNoNutxjVg0cCAoXW43Lb+2IFlaV5FXyG/y3tc4xgklbKAvlAILHcg3xOhilBClmKrcBtut9rYgUvFZlBcODew3FumCYJAjCWOK5dTZe9++MYF1ATGzITckgbde18QMksqFUAABtqJtv164nZlh5oI0kWClugxPzWQvDM6aCNPmHQkdsYx/9k=" } }, "cell_type": "markdown", "id": "f7dc15b7", "metadata": { "papermill": { "duration": 0.030274, "end_time": "2021-08-07T18:57:13.102298", "exception": false, "start_time": "2021-08-07T18:57:13.072024", "status": "completed" }, "tags": [] }, "source": [ "![27dbbdd1-95ea-4722-a3f0-a54b12196f40-thumb.jpg](attachment:0e10f3a4-7ee6-462b-af05-7aa02ad9a7b3.jpg)" ] }, { "cell_type": "markdown", "id": "7b781a88", "metadata": { "papermill": { "duration": 0.028595, "end_time": "2021-08-07T18:57:13.160667", "exception": false, "start_time": "2021-08-07T18:57:13.132072", "status": "completed" }, "tags": [] }, "source": [ "## Welcome to this notebook\n", "### We will do some EDA and Data Cleaning with Feature Engineering and then we will try some predictions and see how logistic regression works for \"Dietanic\" :))\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "6887134c", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T18:57:13.227307Z", "iopub.status.busy": "2021-08-07T18:57:13.226784Z", "iopub.status.idle": "2021-08-07T18:57:14.191811Z", "shell.execute_reply": "2021-08-07T18:57:14.190987Z", "shell.execute_reply.started": "2021-08-07T18:54:55.819110Z" }, "papermill": { "duration": 1.003122, "end_time": "2021-08-07T18:57:14.192015", "exception": false, "start_time": "2021-08-07T18:57:13.188893", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "plt.style.use('fivethirtyeight')\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "id": "338a4b46", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.253886Z", "iopub.status.busy": "2021-08-07T18:57:14.253269Z", "iopub.status.idle": "2021-08-07T18:57:14.269060Z", "shell.execute_reply": "2021-08-07T18:57:14.268560Z", "shell.execute_reply.started": "2021-08-07T18:54:56.204898Z" }, "papermill": { "duration": 0.048502, "end_time": "2021-08-07T18:57:14.269199", "exception": false, "start_time": "2021-08-07T18:57:14.220697", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "testing = pd.read_csv('../input/titanic/test.csv')" ] }, { "cell_type": "markdown", "id": "f02230be", "metadata": { "papermill": { "duration": 0.034551, "end_time": "2021-08-07T18:57:14.338266", "exception": false, "start_time": "2021-08-07T18:57:14.303715", "status": "completed" }, "tags": [] }, "source": [ "### 1- Load Dataset" ] }, { "cell_type": "code", "execution_count": 3, "id": "063b81fd", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.409843Z", "iopub.status.busy": "2021-08-07T18:57:14.409208Z", "iopub.status.idle": "2021-08-07T18:57:14.449922Z", "shell.execute_reply": "2021-08-07T18:57:14.449288Z", "shell.execute_reply.started": "2021-08-07T18:54:56.250329Z" }, "papermill": { "duration": 0.07569, "end_time": "2021-08-07T18:57:14.450057", "exception": false, "start_time": "2021-08-07T18:57:14.374367", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>PassengerId</th>\n", " <th>Survived</th>\n", " <th>Pclass</th>\n", " <th>Name</th>\n", " <th>Sex</th>\n", " <th>Age</th>\n", " <th>SibSp</th>\n", " <th>Parch</th>\n", " <th>Ticket</th>\n", " <th>Fare</th>\n", " <th>Cabin</th>\n", " <th>Embarked</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>Braund, Mr. Owen Harris</td>\n", " <td>male</td>\n", " <td>22.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>A/5 21171</td>\n", " <td>7.2500</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n", " <td>female</td>\n", " <td>38.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>PC 17599</td>\n", " <td>71.2833</td>\n", " <td>C85</td>\n", " <td>C</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>1</td>\n", " <td>3</td>\n", " <td>Heikkinen, Miss. Laina</td>\n", " <td>female</td>\n", " <td>26.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>STON/O2. 3101282</td>\n", " <td>7.9250</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n", " <td>female</td>\n", " <td>35.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>113803</td>\n", " <td>53.1000</td>\n", " <td>C123</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>Allen, Mr. William Henry</td>\n", " <td>male</td>\n", " <td>35.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>373450</td>\n", " <td>8.0500</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " PassengerId Survived Pclass \\\n", "0 1 0 3 \n", "1 2 1 1 \n", "2 3 1 3 \n", "3 4 1 1 \n", "4 5 0 3 \n", "\n", " Name Sex Age SibSp \\\n", "0 Braund, Mr. Owen Harris male 22.0 1 \n", "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", "2 Heikkinen, Miss. Laina female 26.0 0 \n", "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", "4 Allen, Mr. William Henry male 35.0 0 \n", "\n", " Parch Ticket Fare Cabin Embarked \n", "0 0 A/5 21171 7.2500 NaN S \n", "1 0 PC 17599 71.2833 C85 C \n", "2 0 STON/O2. 3101282 7.9250 NaN S \n", "3 0 113803 53.1000 C123 S \n", "4 0 373450 8.0500 NaN S " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_csv('../input/titanic/train.csv')\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 4, "id": "eac18ee3", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.515977Z", "iopub.status.busy": "2021-08-07T18:57:14.515034Z", "iopub.status.idle": "2021-08-07T18:57:14.531343Z", "shell.execute_reply": "2021-08-07T18:57:14.530770Z", "shell.execute_reply.started": "2021-08-07T18:54:56.277317Z" }, "papermill": { "duration": 0.051585, "end_time": "2021-08-07T18:57:14.531505", "exception": false, "start_time": "2021-08-07T18:57:14.479920", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Name 891 non-null object \n", " 4 Sex 891 non-null object \n", " 5 Age 714 non-null float64\n", " 6 SibSp 891 non-null int64 \n", " 7 Parch 891 non-null int64 \n", " 8 Ticket 891 non-null object \n", " 9 Fare 891 non-null float64\n", " 10 Cabin 204 non-null object \n", " 11 Embarked 889 non-null object \n", "dtypes: float64(2), int64(5), object(5)\n", "memory usage: 83.7+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "id": "a9144e61", "metadata": { "papermill": { "duration": 0.029056, "end_time": "2021-08-07T18:57:14.590153", "exception": false, "start_time": "2021-08-07T18:57:14.561097", "status": "completed" }, "tags": [] }, "source": [ "We can see we have some NaN, so we will deal with them in feature" ] }, { "cell_type": "code", "execution_count": 5, "id": "b64ad19b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.668594Z", "iopub.status.busy": "2021-08-07T18:57:14.667861Z", "iopub.status.idle": "2021-08-07T18:57:14.700493Z", "shell.execute_reply": "2021-08-07T18:57:14.699783Z", "shell.execute_reply.started": "2021-08-07T18:54:56.471178Z" }, "papermill": { "duration": 0.081002, "end_time": "2021-08-07T18:57:14.700684", "exception": false, "start_time": "2021-08-07T18:57:14.619682", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>PassengerId</th>\n", " <th>Survived</th>\n", " <th>Pclass</th>\n", " <th>Age</th>\n", " <th>SibSp</th>\n", " <th>Parch</th>\n", " <th>Fare</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>891.000000</td>\n", " <td>891.000000</td>\n", " <td>891.000000</td>\n", " <td>714.000000</td>\n", " <td>891.000000</td>\n", " <td>891.000000</td>\n", " <td>891.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>446.000000</td>\n", " <td>0.383838</td>\n", " <td>2.308642</td>\n", " <td>29.699118</td>\n", " <td>0.523008</td>\n", " <td>0.381594</td>\n", " <td>32.204208</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>257.353842</td>\n", " <td>0.486592</td>\n", " <td>0.836071</td>\n", " <td>14.526497</td>\n", " <td>1.102743</td>\n", " <td>0.806057</td>\n", " <td>49.693429</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>0.420000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>223.500000</td>\n", " <td>0.000000</td>\n", " <td>2.000000</td>\n", " <td>20.125000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>7.910400</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>446.000000</td>\n", " <td>0.000000</td>\n", " <td>3.000000</td>\n", " <td>28.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>14.454200</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>668.500000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>38.000000</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>31.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>891.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>80.000000</td>\n", " <td>8.000000</td>\n", " <td>6.000000</td>\n", " <td>512.329200</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " PassengerId Survived Pclass Age SibSp \\\n", "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", "\n", " Parch Fare \n", "count 891.000000 891.000000 \n", "mean 0.381594 32.204208 \n", "std 0.806057 49.693429 \n", "min 0.000000 0.000000 \n", "25% 0.000000 7.910400 \n", "50% 0.000000 14.454200 \n", "75% 0.000000 31.000000 \n", "max 6.000000 512.329200 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "code", "execution_count": 6, "id": "17561088", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.773224Z", "iopub.status.busy": "2021-08-07T18:57:14.772308Z", "iopub.status.idle": "2021-08-07T18:57:14.781276Z", "shell.execute_reply": "2021-08-07T18:57:14.780809Z", "shell.execute_reply.started": "2021-08-07T18:54:56.575356Z" }, "papermill": { "duration": 0.044034, "end_time": "2021-08-07T18:57:14.781404", "exception": false, "start_time": "2021-08-07T18:57:14.737370", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 177\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 0\n", "Cabin 687\n", "Embarked 2\n", "dtype: int64" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isnull().sum()" ] }, { "cell_type": "markdown", "id": "1a845311", "metadata": { "papermill": { "duration": 0.029521, "end_time": "2021-08-07T18:57:14.841377", "exception": false, "start_time": "2021-08-07T18:57:14.811856", "status": "completed" }, "tags": [] }, "source": [ "## 2- EDA + Handlling Missing Data" ] }, { "cell_type": "markdown", "id": "324f0d28", "metadata": { "papermill": { "duration": 0.029937, "end_time": "2021-08-07T18:57:14.901322", "exception": false, "start_time": "2021-08-07T18:57:14.871385", "status": "completed" }, "tags": [] }, "source": [ "### In this part i tried to do some usefull EDA and in the meantime handled the missing data so we can proceed to the predictions part " ] }, { "cell_type": "code", "execution_count": 7, "id": "b5d61ba9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:14.970736Z", "iopub.status.busy": "2021-08-07T18:57:14.968857Z", "iopub.status.idle": "2021-08-07T18:57:14.976020Z", "shell.execute_reply": "2021-08-07T18:57:14.975543Z", "shell.execute_reply.started": "2021-08-07T18:54:56.586103Z" }, "papermill": { "duration": 0.044997, "end_time": "2021-08-07T18:57:14.976165", "exception": false, "start_time": "2021-08-07T18:57:14.931168", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Sex Survived\n", "female 0 81\n", " 1 233\n", "male 0 468\n", " 1 109\n", "Name: Survived, dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.groupby(['Sex','Survived'])['Survived'].count()" ] }, { "cell_type": "code", "execution_count": 8, "id": "f67b667e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:15.051782Z", "iopub.status.busy": "2021-08-07T18:57:15.050438Z", "iopub.status.idle": "2021-08-07T18:57:15.475580Z", "shell.execute_reply": "2021-08-07T18:57:15.476030Z", "shell.execute_reply.started": "2021-08-07T18:54:56.604153Z" }, "papermill": { "duration": 0.463659, "end_time": "2021-08-07T18:57:15.476193", "exception": false, "start_time": "2021-08-07T18:57:15.012534", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1296x576 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(1,3,figsize=(18,8))\n", "sns.countplot(data=df,x='Sex',ax=ax[0])\n", "ax[0].set_title('Number of Male and Female')\n", "sns.countplot(data=df,x='Survived',hue='Sex',ax=ax[1])\n", "ax[1].set_title('Survived')\n", "sns.barplot(data=df,x='Sex',y='Survived',ax=ax[2])\n", "ax[2].set_title('Sex')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "8e57edb8", "metadata": { "papermill": { "duration": 0.03141, "end_time": "2021-08-07T18:57:15.539604", "exception": false, "start_time": "2021-08-07T18:57:15.508194", "status": "completed" }, "tags": [] }, "source": [ "### As you guys can see there is something so interesting and that's dispite of the fact that men were more than women in general, but females survived way more than males." ] }, { "cell_type": "markdown", "id": "b7c45ac7", "metadata": { "papermill": { "duration": 0.031322, "end_time": "2021-08-07T18:57:15.602598", "exception": false, "start_time": "2021-08-07T18:57:15.571276", "status": "completed" }, "tags": [] }, "source": [ "### Now let's do some research on our features" ] }, { "cell_type": "code", "execution_count": 9, "id": "243177ea", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:15.687590Z", "iopub.status.busy": "2021-08-07T18:57:15.686563Z", "iopub.status.idle": "2021-08-07T18:57:16.136824Z", "shell.execute_reply": "2021-08-07T18:57:16.136230Z", "shell.execute_reply.started": "2021-08-07T18:54:57.079830Z" }, "papermill": { "duration": 0.502627, "end_time": "2021-08-07T18:57:16.136957", "exception": false, "start_time": "2021-08-07T18:57:15.634330", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(1,2,figsize=(12,8))\n", "sns.barplot(data=df,x='Pclass',y='Survived',ax=ax[0])\n", "sns.barplot(data=df,x='Pclass',y='Survived',hue='Sex',ax=ax[1])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "579250ac", "metadata": { "papermill": { "duration": 0.031453, "end_time": "2021-08-07T18:57:16.200215", "exception": false, "start_time": "2021-08-07T18:57:16.168762", "status": "completed" }, "tags": [] }, "source": [ "### Better Class --> Higher Chance of Survive" ] }, { "cell_type": "code", "execution_count": 10, "id": "d34fadd7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:16.270444Z", "iopub.status.busy": "2021-08-07T18:57:16.269485Z", "iopub.status.idle": "2021-08-07T18:57:16.274244Z", "shell.execute_reply": "2021-08-07T18:57:16.273757Z", "shell.execute_reply.started": "2021-08-07T18:54:57.700065Z" }, "papermill": { "duration": 0.042312, "end_time": "2021-08-07T18:57:16.274383", "exception": false, "start_time": "2021-08-07T18:57:16.232071", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Oldest Passenger is: 80.0\n", "Youngest Passenger is: 0.42\n", "Average Age is: 29.69911764705882\n" ] } ], "source": [ "print(\"Oldest Passenger is: \", df['Age'].max())\n", "print(\"Youngest Passenger is: \", df['Age'].min())\n", "print(\"Average Age is: \", df['Age'].mean())" ] }, { "cell_type": "code", "execution_count": 11, "id": "da29ffff", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:16.361923Z", "iopub.status.busy": "2021-08-07T18:57:16.361255Z", "iopub.status.idle": "2021-08-07T18:57:16.767279Z", "shell.execute_reply": "2021-08-07T18:57:16.767758Z", "shell.execute_reply.started": "2021-08-07T18:54:57.709917Z" }, "papermill": { "duration": 0.451904, "end_time": "2021-08-07T18:57:16.767923", "exception": false, "start_time": "2021-08-07T18:57:16.316019", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1296x576 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(1,2,figsize=(18,8))\n", "sns.boxplot(data=df,x='Pclass',y='Age',ax=ax[0],hue='Survived')\n", "sns.boxplot(data=df,x='Sex',y='Age',ax=ax[1],hue='Survived')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ee11588d", "metadata": { "papermill": { "duration": 0.033012, "end_time": "2021-08-07T18:57:16.835080", "exception": false, "start_time": "2021-08-07T18:57:16.802068", "status": "completed" }, "tags": [] }, "source": [ "#### So one idea is that we can put mean value for missing entries of \"Age\" but i guess that's not the best idea. Imagine that missing value was something like 4 years old and we are changing it to the mean(something more than 20 for sure)\n", "#### So what can we do??! Just look at the Name of passengers... They some prefixes like \"Mr. Mrs. Master. ...\" That's so cool!! :))\n", "#### We can categories them and then find out wich passenger was child, man, woman, ...\n", "#### So let's make a new column for that part:" ] }, { "cell_type": "code", "execution_count": 12, "id": "ff494de9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:16.903933Z", "iopub.status.busy": "2021-08-07T18:57:16.903271Z", "iopub.status.idle": "2021-08-07T18:57:17.059812Z", "shell.execute_reply": "2021-08-07T18:57:17.059274Z", "shell.execute_reply.started": "2021-08-07T18:54:58.194882Z" }, "papermill": { "duration": 0.191909, "end_time": "2021-08-07T18:57:17.059956", "exception": false, "start_time": "2021-08-07T18:57:16.868047", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df['Prefix'] = 0\n", "testing['Prefix'] = 0\n", "for i in df:\n", " df['Prefix'] = df.Name.str.extract('([A-Za-z]+)\\.')\n", " testing['Prefix'] = testing.Name.str.extract('([A-Za-z]+)\\.')" ] }, { "cell_type": "code", "execution_count": 13, "id": "77e22099", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.133356Z", "iopub.status.busy": "2021-08-07T18:57:17.132704Z", "iopub.status.idle": "2021-08-07T18:57:17.181976Z", "shell.execute_reply": "2021-08-07T18:57:17.182437Z", "shell.execute_reply.started": "2021-08-07T18:54:58.286833Z" }, "papermill": { "duration": 0.089576, "end_time": "2021-08-07T18:57:17.182614", "exception": false, "start_time": "2021-08-07T18:57:17.093038", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<style type=\"text/css\" >\n", "</style><table id=\"T_21d9c_\" ><thead> <tr> <th class=\"index_name level0\" >Prefix</th> <th class=\"col_heading level0 col0\" >Capt</th> <th class=\"col_heading level0 col1\" >Col</th> <th class=\"col_heading level0 col2\" >Countess</th> <th class=\"col_heading level0 col3\" >Don</th> <th class=\"col_heading level0 col4\" >Dr</th> <th class=\"col_heading level0 col5\" >Jonkheer</th> <th class=\"col_heading level0 col6\" >Lady</th> <th class=\"col_heading level0 col7\" >Major</th> <th class=\"col_heading level0 col8\" >Master</th> <th class=\"col_heading level0 col9\" >Miss</th> <th class=\"col_heading level0 col10\" >Mlle</th> <th class=\"col_heading level0 col11\" >Mme</th> <th class=\"col_heading level0 col12\" >Mr</th> <th class=\"col_heading level0 col13\" >Mrs</th> <th class=\"col_heading level0 col14\" >Ms</th> <th class=\"col_heading level0 col15\" >Rev</th> <th class=\"col_heading level0 col16\" >Sir</th> </tr> <tr> <th class=\"index_name level0\" >Sex</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n", " <tr>\n", " <th id=\"T_21d9c_level0_row0\" class=\"row_heading level0 row0\" >female</th>\n", " <td id=\"T_21d9c_row0_col0\" class=\"data row0 col0\" >0</td>\n", " <td id=\"T_21d9c_row0_col1\" class=\"data row0 col1\" >0</td>\n", " <td id=\"T_21d9c_row0_col2\" class=\"data row0 col2\" >1</td>\n", " <td id=\"T_21d9c_row0_col3\" class=\"data row0 col3\" >0</td>\n", " <td id=\"T_21d9c_row0_col4\" class=\"data row0 col4\" >1</td>\n", " <td id=\"T_21d9c_row0_col5\" class=\"data row0 col5\" >0</td>\n", " <td id=\"T_21d9c_row0_col6\" class=\"data row0 col6\" >1</td>\n", " <td id=\"T_21d9c_row0_col7\" class=\"data row0 col7\" >0</td>\n", " <td id=\"T_21d9c_row0_col8\" class=\"data row0 col8\" >0</td>\n", " <td id=\"T_21d9c_row0_col9\" class=\"data row0 col9\" >182</td>\n", " <td id=\"T_21d9c_row0_col10\" class=\"data row0 col10\" >2</td>\n", " <td id=\"T_21d9c_row0_col11\" class=\"data row0 col11\" >1</td>\n", " <td id=\"T_21d9c_row0_col12\" class=\"data row0 col12\" >0</td>\n", " <td id=\"T_21d9c_row0_col13\" class=\"data row0 col13\" >125</td>\n", " <td id=\"T_21d9c_row0_col14\" class=\"data row0 col14\" >1</td>\n", " <td id=\"T_21d9c_row0_col15\" class=\"data row0 col15\" >0</td>\n", " <td id=\"T_21d9c_row0_col16\" class=\"data row0 col16\" >0</td>\n", " </tr>\n", " <tr>\n", " <th id=\"T_21d9c_level0_row1\" class=\"row_heading level0 row1\" >male</th>\n", " <td id=\"T_21d9c_row1_col0\" class=\"data row1 col0\" >1</td>\n", " <td id=\"T_21d9c_row1_col1\" class=\"data row1 col1\" >2</td>\n", " <td id=\"T_21d9c_row1_col2\" class=\"data row1 col2\" >0</td>\n", " <td id=\"T_21d9c_row1_col3\" class=\"data row1 col3\" >1</td>\n", " <td id=\"T_21d9c_row1_col4\" class=\"data row1 col4\" >6</td>\n", " <td id=\"T_21d9c_row1_col5\" class=\"data row1 col5\" >1</td>\n", " <td id=\"T_21d9c_row1_col6\" class=\"data row1 col6\" >0</td>\n", " <td id=\"T_21d9c_row1_col7\" class=\"data row1 col7\" >2</td>\n", " <td id=\"T_21d9c_row1_col8\" class=\"data row1 col8\" >40</td>\n", " <td id=\"T_21d9c_row1_col9\" class=\"data row1 col9\" >0</td>\n", " <td id=\"T_21d9c_row1_col10\" class=\"data row1 col10\" >0</td>\n", " <td id=\"T_21d9c_row1_col11\" class=\"data row1 col11\" >0</td>\n", " <td id=\"T_21d9c_row1_col12\" class=\"data row1 col12\" >517</td>\n", " <td id=\"T_21d9c_row1_col13\" class=\"data row1 col13\" >0</td>\n", " <td id=\"T_21d9c_row1_col14\" class=\"data row1 col14\" >0</td>\n", " <td id=\"T_21d9c_row1_col15\" class=\"data row1 col15\" >6</td>\n", " <td id=\"T_21d9c_row1_col16\" class=\"data row1 col16\" >1</td>\n", " </tr>\n", " </tbody></table>" ], "text/plain": [ "<pandas.io.formats.style.Styler at 0x7fcb3c5037d0>" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(df.Sex,df.Prefix).style" ] }, { "cell_type": "code", "execution_count": 14, "id": "84b1bdba", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.256465Z", "iopub.status.busy": "2021-08-07T18:57:17.255840Z", "iopub.status.idle": "2021-08-07T18:57:17.260537Z", "shell.execute_reply": "2021-08-07T18:57:17.260967Z", "shell.execute_reply.started": "2021-08-07T18:54:58.327714Z" }, "papermill": { "duration": 0.045256, "end_time": "2021-08-07T18:57:17.261136", "exception": false, "start_time": "2021-08-07T18:57:17.215880", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df['Prefix'].replace(['Mlle','Mme','Ms','Dr','Major','Lady','Countess','Jonkheer','Col','Rev','Capt','Sir','Don'],\n", " ['Miss','Miss','Miss','Mr','Mr','Mrs','Mrs','Other','Other','Other','Mr','Mr','Mr'],inplace=True)\n", "testing['Prefix'].replace(['Mlle','Mme','Ms','Dr','Major','Lady','Countess','Jonkheer','Col','Rev','Capt','Sir','Don'],\n", " ['Miss','Miss','Miss','Mr','Mr','Mrs','Mrs','Other','Other','Other','Mr','Mr','Mr'],inplace=True)" ] }, { "cell_type": "code", "execution_count": 15, "id": "57b2a232", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.330279Z", "iopub.status.busy": "2021-08-07T18:57:17.329729Z", "iopub.status.idle": "2021-08-07T18:57:17.336884Z", "shell.execute_reply": "2021-08-07T18:57:17.337442Z", "shell.execute_reply.started": "2021-08-07T18:54:58.344298Z" }, "papermill": { "duration": 0.042931, "end_time": "2021-08-07T18:57:17.337602", "exception": false, "start_time": "2021-08-07T18:57:17.294671", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Prefix\n", "Master 4.574167\n", "Miss 21.860000\n", "Mr 32.739609\n", "Mrs 35.981818\n", "Other 45.888889\n", "Name: Age, dtype: float64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.groupby('Prefix')['Age'].mean()" ] }, { "cell_type": "code", "execution_count": 16, "id": "b3352bab", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.408306Z", "iopub.status.busy": "2021-08-07T18:57:17.407759Z", "iopub.status.idle": "2021-08-07T18:57:17.423962Z", "shell.execute_reply": "2021-08-07T18:57:17.424464Z", "shell.execute_reply.started": "2021-08-07T18:54:58.356371Z" }, "papermill": { "duration": 0.053387, "end_time": "2021-08-07T18:57:17.424634", "exception": false, "start_time": "2021-08-07T18:57:17.371247", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df.loc[(df.Age.isnull()) & (df.Prefix=='Mr'),'Age']=33\n", "df.loc[(df.Age.isnull()) & (df.Prefix=='Mrs'),'Age']=36\n", "df.loc[(df.Age.isnull()) & (df.Prefix=='Master'),'Age']=5\n", "df.loc[(df.Age.isnull()) & (df.Prefix=='Miss'),'Age']=22\n", "df.loc[(df.Age.isnull()) & (df.Prefix=='Other'),'Age']=46\n", "\n", "testing.loc[(testing.Age.isnull()) & (testing.Prefix=='Mr'),'Age']=33\n", "testing.loc[(testing.Age.isnull()) & (testing.Prefix=='Mrs'),'Age']=36\n", "testing.loc[(testing.Age.isnull()) & (testing.Prefix=='Master'),'Age']=5\n", "testing.loc[(testing.Age.isnull()) & (testing.Prefix=='Miss'),'Age']=22\n", "testing.loc[(testing.Age.isnull()) & (testing.Prefix=='Other'),'Age']=46\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "652588f8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.494526Z", "iopub.status.busy": "2021-08-07T18:57:17.493961Z", "iopub.status.idle": "2021-08-07T18:57:17.834390Z", "shell.execute_reply": "2021-08-07T18:57:17.833805Z", "shell.execute_reply.started": "2021-08-07T18:54:58.382109Z" }, "papermill": { "duration": 0.37647, "end_time": "2021-08-07T18:57:17.834542", "exception": false, "start_time": "2021-08-07T18:57:17.458072", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x432 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2,figsize=(12,6))\n", "df[df['Survived']==0].Age.plot.hist(ax=ax[0],bins=20,edgecolor='black',color='blue')\n", "ax[0].set_title('Survived')\n", "ax[0].set_xlabel('Age')\n", "df[df['Survived']==1].Age.plot.hist(ax=ax[1],bins=20,edgecolor='black',color='green')\n", "ax[1].set_title('Not Survived')\n", "ax[1].set_xlabel('Age')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "id": "addf798d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.911012Z", "iopub.status.busy": "2021-08-07T18:57:17.908496Z", "iopub.status.idle": "2021-08-07T18:57:17.914635Z", "shell.execute_reply": "2021-08-07T18:57:17.915022Z", "shell.execute_reply.started": "2021-08-07T18:54:58.787354Z" }, "papermill": { "duration": 0.046294, "end_time": "2021-08-07T18:57:17.915191", "exception": false, "start_time": "2021-08-07T18:57:17.868897", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 0\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 0\n", "Cabin 687\n", "Embarked 2\n", "Prefix 0\n", "dtype: int64" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 19, "id": "ce3af5a9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:17.989375Z", "iopub.status.busy": "2021-08-07T18:57:17.988522Z", "iopub.status.idle": "2021-08-07T18:57:18.401736Z", "shell.execute_reply": "2021-08-07T18:57:18.402191Z", "shell.execute_reply.started": "2021-08-07T18:54:58.798190Z" }, "papermill": { "duration": 0.452592, "end_time": "2021-08-07T18:57:18.402366", "exception": false, "start_time": "2021-08-07T18:57:17.949774", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='Embarked', ylabel='count'>" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1296x576 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,3,figsize=(18,8))\n", "sns.countplot(data=df,x='Embarked',ax=ax[0])\n", "sns.countplot(data=df,x='Embarked',ax=ax[1],hue='Sex')\n", "sns.countplot(data=df,x='Embarked',ax=ax[2],hue='Pclass')" ] }, { "cell_type": "code", "execution_count": 20, "id": "7ef23836", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:18.479301Z", "iopub.status.busy": "2021-08-07T18:57:18.478732Z", "iopub.status.idle": "2021-08-07T18:57:18.480952Z", "shell.execute_reply": "2021-08-07T18:57:18.481369Z", "shell.execute_reply.started": "2021-08-07T18:54:59.305531Z" }, "papermill": { "duration": 0.043917, "end_time": "2021-08-07T18:57:18.481551", "exception": false, "start_time": "2021-08-07T18:57:18.437634", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df['Embarked'].fillna('S',inplace=True)\n", "testing['Embarked'].fillna('S',inplace=True)" ] }, { "cell_type": "code", "execution_count": 21, "id": "9c445dab", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:18.560037Z", "iopub.status.busy": "2021-08-07T18:57:18.559313Z", "iopub.status.idle": "2021-08-07T18:57:18.562285Z", "shell.execute_reply": "2021-08-07T18:57:18.561765Z", "shell.execute_reply.started": "2021-08-07T18:54:59.312836Z" }, "papermill": { "duration": 0.045519, "end_time": "2021-08-07T18:57:18.562431", "exception": false, "start_time": "2021-08-07T18:57:18.516912", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df.drop(labels=['Cabin', 'Ticket'],axis=1,inplace=True)\n", "testing.drop(labels=['Cabin', 'Ticket'],axis=1,inplace=True)" ] }, { "cell_type": "code", "execution_count": 22, "id": "08c9ab69", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:18.640508Z", "iopub.status.busy": "2021-08-07T18:57:18.639838Z", "iopub.status.idle": "2021-08-07T18:57:18.776438Z", "shell.execute_reply": "2021-08-07T18:57:18.775900Z", "shell.execute_reply.started": "2021-08-07T18:54:59.328193Z" }, "papermill": { "duration": 0.178728, "end_time": "2021-08-07T18:57:18.776574", "exception": false, "start_time": "2021-08-07T18:57:18.597846", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='Survived', ylabel='Age'>" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 200x400 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(2,4),dpi=100)\n", "sns.boxplot(data=df,x='Survived',y='Age')" ] }, { "cell_type": "code", "execution_count": 23, "id": "6ceecdd8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:18.870158Z", "iopub.status.busy": "2021-08-07T18:57:18.869199Z", "iopub.status.idle": "2021-08-07T18:57:19.547510Z", "shell.execute_reply": "2021-08-07T18:57:19.547955Z", "shell.execute_reply.started": "2021-08-07T18:54:59.508413Z" }, "papermill": { "duration": 0.734541, "end_time": "2021-08-07T18:57:19.548113", "exception": false, "start_time": "2021-08-07T18:57:18.813572", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 2700x2250 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(18,15),dpi=150)\n", "sns.heatmap(df.corr(),annot=True, cmap=\"YlGnBu\",lw=0.2, annot_kws={'size':20})\n", "plt.xticks(fontsize=14)\n", "plt.yticks(fontsize=14)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 24, "id": "7640d8c5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:19.635670Z", "iopub.status.busy": "2021-08-07T18:57:19.634755Z", "iopub.status.idle": "2021-08-07T18:57:19.641943Z", "shell.execute_reply": "2021-08-07T18:57:19.642382Z", "shell.execute_reply.started": "2021-08-07T18:55:00.241443Z" }, "papermill": { "duration": 0.052394, "end_time": "2021-08-07T18:57:19.642568", "exception": false, "start_time": "2021-08-07T18:57:19.590174", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df['Family_Size']=0\n", "df['Family_Size']=df['Parch']+df['SibSp']\n", "df['Alone']=0\n", "df.loc[df.Family_Size==0,'Alone']=1" ] }, { "cell_type": "code", "execution_count": 25, "id": "e868a680", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:19.730739Z", "iopub.status.busy": "2021-08-07T18:57:19.729801Z", "iopub.status.idle": "2021-08-07T18:57:19.739297Z", "shell.execute_reply": "2021-08-07T18:57:19.739738Z", "shell.execute_reply.started": "2021-08-07T18:55:00.250422Z" }, "papermill": { "duration": 0.055512, "end_time": "2021-08-07T18:57:19.739908", "exception": false, "start_time": "2021-08-07T18:57:19.684396", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df['Sex'].replace(['male','female'],[0,1],inplace=True)\n", "df['Embarked'].replace(['S','C','Q'],[0,1,2],inplace=True)\n", "df['Prefix'].replace(['Mr','Mrs','Miss','Master','Other'],[0,1,2,3,4],inplace=True)" ] }, { "cell_type": "code", "execution_count": 26, "id": "8d725eba", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:19.828756Z", "iopub.status.busy": "2021-08-07T18:57:19.827797Z", "iopub.status.idle": "2021-08-07T18:57:19.833330Z", "shell.execute_reply": "2021-08-07T18:57:19.833779Z", "shell.execute_reply.started": "2021-08-07T18:55:00.266106Z" }, "papermill": { "duration": 0.052083, "end_time": "2021-08-07T18:57:19.833960", "exception": false, "start_time": "2021-08-07T18:57:19.781877", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df.drop(['Name','PassengerId'],axis=1,inplace=True)" ] }, { "cell_type": "code", "execution_count": 27, "id": "f8575f74", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:19.921823Z", "iopub.status.busy": "2021-08-07T18:57:19.920941Z", "iopub.status.idle": "2021-08-07T18:57:20.100011Z", "shell.execute_reply": "2021-08-07T18:57:20.100475Z", "shell.execute_reply.started": "2021-08-07T18:55:00.279735Z" }, "papermill": { "duration": 0.224426, "end_time": "2021-08-07T18:57:20.100654", "exception": false, "start_time": "2021-08-07T18:57:19.876228", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "X = df.drop('Survived',axis=1)\n", "y = df['Survived']" ] }, { "cell_type": "code", "execution_count": 28, "id": "ba6b3ed5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:20.188669Z", "iopub.status.busy": "2021-08-07T18:57:20.187755Z", "iopub.status.idle": "2021-08-07T18:57:20.193642Z", "shell.execute_reply": "2021-08-07T18:57:20.194038Z", "shell.execute_reply.started": "2021-08-07T18:55:00.294842Z" }, "papermill": { "duration": 0.051255, "end_time": "2021-08-07T18:57:20.194212", "exception": false, "start_time": "2021-08-07T18:57:20.142957", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=101)" ] }, { "cell_type": "code", "execution_count": 29, "id": "45481825", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:20.282006Z", "iopub.status.busy": "2021-08-07T18:57:20.281074Z", "iopub.status.idle": "2021-08-07T18:57:20.292071Z", "shell.execute_reply": "2021-08-07T18:57:20.292579Z", "shell.execute_reply.started": "2021-08-07T18:55:00.306914Z" }, "papermill": { "duration": 0.056806, "end_time": "2021-08-07T18:57:20.292857", "exception": false, "start_time": "2021-08-07T18:57:20.236051", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.preprocessing import StandardScaler\n", "\n", "scaler = StandardScaler()\n", "X_scaled_train = scaler.fit_transform(X_train)\n", "X_scaled_test = scaler.transform(X_test)" ] }, { "cell_type": "code", "execution_count": 30, "id": "795fcff1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:20.380866Z", "iopub.status.busy": "2021-08-07T18:57:20.380029Z", "iopub.status.idle": "2021-08-07T18:57:20.462646Z", "shell.execute_reply": "2021-08-07T18:57:20.463123Z", "shell.execute_reply.started": "2021-08-07T18:55:00.328809Z" }, "papermill": { "duration": 0.128029, "end_time": "2021-08-07T18:57:20.463300", "exception": false, "start_time": "2021-08-07T18:57:20.335271", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.linear_model import LogisticRegression\n", "from sklearn.model_selection import GridSearchCV" ] }, { "cell_type": "code", "execution_count": 31, "id": "b8487c4a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:20.551618Z", "iopub.status.busy": "2021-08-07T18:57:20.550706Z", "iopub.status.idle": "2021-08-07T18:57:22.147199Z", "shell.execute_reply": "2021-08-07T18:57:22.147807Z", "shell.execute_reply.started": "2021-08-07T18:55:00.335198Z" }, "papermill": { "duration": 1.64217, "end_time": "2021-08-07T18:57:22.147994", "exception": false, "start_time": "2021-08-07T18:57:20.505824", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "model = LogisticRegression()\n", "grid_param = {\"penalty\": [\"l2\"], \"fit_intercept\": [True, False], \"solver\": [\"newton-cg\", \"lbfgs\", \"liblinear\", \"sag\", \"saga\"],\n", " \"max_iter\": [50, 100, 200], \"warm_start\": [True, False]}\n", "grid_model = GridSearchCV(model, grid_param)\n", "grid_model.fit(X_scaled_train,y_train)\n", "y_pred = grid_model.predict(X_scaled_test)" ] }, { "cell_type": "code", "execution_count": 32, "id": "7467f2ed", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.237473Z", "iopub.status.busy": "2021-08-07T18:57:22.236558Z", "iopub.status.idle": "2021-08-07T18:57:22.240376Z", "shell.execute_reply": "2021-08-07T18:57:22.240790Z", "shell.execute_reply.started": "2021-08-07T18:55:02.043145Z" }, "papermill": { "duration": 0.04894, "end_time": "2021-08-07T18:57:22.240950", "exception": false, "start_time": "2021-08-07T18:57:22.192010", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.metrics import accuracy_score,confusion_matrix,classification_report,plot_confusion_matrix" ] }, { "cell_type": "code", "execution_count": 33, "id": "371572c0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.328287Z", "iopub.status.busy": "2021-08-07T18:57:22.327387Z", "iopub.status.idle": "2021-08-07T18:57:22.332587Z", "shell.execute_reply": "2021-08-07T18:57:22.332981Z", "shell.execute_reply.started": "2021-08-07T18:55:02.050689Z" }, "papermill": { "duration": 0.050373, "end_time": "2021-08-07T18:57:22.333139", "exception": false, "start_time": "2021-08-07T18:57:22.282766", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "{'fit_intercept': True,\n", " 'max_iter': 50,\n", " 'penalty': 'l2',\n", " 'solver': 'liblinear',\n", " 'warm_start': True}" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "grid_model.best_params_" ] }, { "cell_type": "code", "execution_count": 34, "id": "2a9582c8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.421099Z", "iopub.status.busy": "2021-08-07T18:57:22.420203Z", "iopub.status.idle": "2021-08-07T18:57:22.426634Z", "shell.execute_reply": "2021-08-07T18:57:22.426145Z", "shell.execute_reply.started": "2021-08-07T18:55:02.064043Z" }, "papermill": { "duration": 0.051574, "end_time": "2021-08-07T18:57:22.426766", "exception": false, "start_time": "2021-08-07T18:57:22.375192", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0.7988826815642458" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "accuracy_score(y_test,y_pred)" ] }, { "cell_type": "code", "execution_count": 35, "id": "b7fd3f93", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.518453Z", "iopub.status.busy": "2021-08-07T18:57:22.516364Z", "iopub.status.idle": "2021-08-07T18:57:22.522493Z", "shell.execute_reply": "2021-08-07T18:57:22.522041Z", "shell.execute_reply.started": "2021-08-07T18:55:02.074105Z" }, "papermill": { "duration": 0.053186, "end_time": "2021-08-07T18:57:22.522632", "exception": false, "start_time": "2021-08-07T18:57:22.469446", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([[86, 13],\n", " [23, 57]])" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "confusion_matrix(y_test,y_pred)" ] }, { "cell_type": "code", "execution_count": 36, "id": "78186ff8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.613906Z", "iopub.status.busy": "2021-08-07T18:57:22.613008Z", "iopub.status.idle": "2021-08-07T18:57:22.781558Z", "shell.execute_reply": "2021-08-07T18:57:22.782005Z", "shell.execute_reply.started": "2021-08-07T18:55:02.087271Z" }, "papermill": { "duration": 0.216806, "end_time": "2021-08-07T18:57:22.782169", "exception": false, "start_time": "2021-08-07T18:57:22.565363", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7fcb28694750>" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_confusion_matrix(grid_model,X_scaled_test,y_test,cmap=plt.cm.Blues)" ] }, { "cell_type": "code", "execution_count": 37, "id": "4560cc4e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:57:22.875911Z", "iopub.status.busy": "2021-08-07T18:57:22.874860Z", "iopub.status.idle": "2021-08-07T18:57:22.882821Z", "shell.execute_reply": "2021-08-07T18:57:22.882318Z", "shell.execute_reply.started": "2021-08-07T18:55:02.336542Z" }, "papermill": { "duration": 0.056705, "end_time": "2021-08-07T18:57:22.882957", "exception": false, "start_time": "2021-08-07T18:57:22.826252", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.79 0.87 0.83 99\n", " 1 0.81 0.71 0.76 80\n", "\n", " accuracy 0.80 179\n", " macro avg 0.80 0.79 0.79 179\n", "weighted avg 0.80 0.80 0.80 179\n", "\n" ] } ], "source": [ "print(classification_report(y_test,y_pred))" ] }, { "cell_type": "markdown", "id": "cdb1437e", "metadata": { "papermill": { "duration": 0.043849, "end_time": "2021-08-07T18:57:22.970742", "exception": false, "start_time": "2021-08-07T18:57:22.926893", "status": "completed" }, "tags": [] }, "source": [ "## Thnks for reading. If you liked my notebook and find it useful please upvote for me =))" ] }, { "cell_type": "markdown", "id": "b89b46ec", "metadata": { "papermill": { "duration": 0.044046, "end_time": "2021-08-07T18:57:23.058766", "exception": false, "start_time": "2021-08-07T18:57:23.014720", "status": "completed" }, "tags": [] }, "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 17.800827, "end_time": "2021-08-07T18:57:23.813565", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:57:06.012738", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/599/70599664.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "688439b3", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T18:59:49.334313Z", "iopub.status.busy": "2021-08-07T18:59:49.332503Z", "iopub.status.idle": "2021-08-07T18:59:49.348250Z", "shell.execute_reply": "2021-08-07T18:59:49.348780Z", "shell.execute_reply.started": "2021-08-07T18:07:20.919967Z" }, "papermill": { "duration": 0.049573, "end_time": "2021-08-07T18:59:49.349081", "exception": false, "start_time": "2021-08-07T18:59:49.299508", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/kaggle/input/competitive-data-science-predict-future-sales/items.csv\n", "/kaggle/input/competitive-data-science-predict-future-sales/sample_submission.csv\n", "/kaggle/input/competitive-data-science-predict-future-sales/item_categories.csv\n", "/kaggle/input/competitive-data-science-predict-future-sales/sales_train.csv\n", "/kaggle/input/competitive-data-science-predict-future-sales/shops.csv\n", "/kaggle/input/competitive-data-science-predict-future-sales/test.csv\n" ] } ], "source": [ "# This Python 3 environment comes with many helpful analytics libraries installed\n", "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "# For example, here's several helpful packages to load\n", "\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "\n", "# Input data files are available in the read-only \"../input/\" directory\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n", "\n", "import os\n", "for dirname, _, filenames in os.walk('/kaggle/input'):\n", " for filename in filenames:\n", " print(os.path.join(dirname, filename))\n", "\n", "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n", "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session" ] }, { "cell_type": "code", "execution_count": 2, "id": "8bdbc81d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:49.408714Z", "iopub.status.busy": "2021-08-07T18:59:49.407750Z", "iopub.status.idle": "2021-08-07T18:59:50.414532Z", "shell.execute_reply": "2021-08-07T18:59:50.413960Z", "shell.execute_reply.started": "2021-08-07T18:07:20.937760Z" }, "papermill": { "duration": 1.037322, "end_time": "2021-08-07T18:59:50.414731", "exception": false, "start_time": "2021-08-07T18:59:49.377409", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 3, "id": "4764d460", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:50.475995Z", "iopub.status.busy": "2021-08-07T18:59:50.475330Z", "iopub.status.idle": "2021-08-07T18:59:53.388036Z", "shell.execute_reply": "2021-08-07T18:59:53.387430Z", "shell.execute_reply.started": "2021-08-07T18:07:21.954814Z" }, "papermill": { "duration": 2.945655, "end_time": "2021-08-07T18:59:53.388199", "exception": false, "start_time": "2021-08-07T18:59:50.442544", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "train=pd.read_csv(\"../input/competitive-data-science-predict-future-sales/sales_train.csv\")\n", "items=pd.read_csv(\"../input/competitive-data-science-predict-future-sales/items.csv\")\n", "categories=pd.read_csv(\"../input/competitive-data-science-predict-future-sales/item_categories.csv\")\n", "shops=pd.read_csv(\"../input/competitive-data-science-predict-future-sales/shops.csv\")\n", "test=pd.read_csv(\"../input/competitive-data-science-predict-future-sales/test.csv\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "98bf6456", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.451106Z", "iopub.status.busy": "2021-08-07T18:59:53.450440Z", "iopub.status.idle": "2021-08-07T18:59:53.453638Z", "shell.execute_reply": "2021-08-07T18:59:53.454099Z", "shell.execute_reply.started": "2021-08-07T18:07:24.978668Z" }, "papermill": { "duration": 0.038324, "end_time": "2021-08-07T18:59:53.454268", "exception": false, "start_time": "2021-08-07T18:59:53.415944", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(2935849, 6)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.shape" ] }, { "cell_type": "code", "execution_count": 5, "id": "78e6135e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.525690Z", "iopub.status.busy": "2021-08-07T18:59:53.525032Z", "iopub.status.idle": "2021-08-07T18:59:53.543630Z", "shell.execute_reply": "2021-08-07T18:59:53.543118Z", "shell.execute_reply.started": "2021-08-07T18:07:24.989753Z" }, "papermill": { "duration": 0.061508, "end_time": "2021-08-07T18:59:53.543766", "exception": false, "start_time": "2021-08-07T18:59:53.482258", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>date</th>\n", " <th>date_block_num</th>\n", " <th>shop_id</th>\n", " <th>item_id</th>\n", " <th>item_price</th>\n", " <th>item_cnt_day</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>02.01.2013</td>\n", " <td>0</td>\n", " <td>59</td>\n", " <td>22154</td>\n", " <td>999.00</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>03.01.2013</td>\n", " <td>0</td>\n", " <td>25</td>\n", " <td>2552</td>\n", " <td>899.00</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>05.01.2013</td>\n", " <td>0</td>\n", " <td>25</td>\n", " <td>2552</td>\n", " <td>899.00</td>\n", " <td>-1.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>06.01.2013</td>\n", " <td>0</td>\n", " <td>25</td>\n", " <td>2554</td>\n", " <td>1709.05</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>15.01.2013</td>\n", " <td>0</td>\n", " <td>25</td>\n", " <td>2555</td>\n", " <td>1099.00</td>\n", " <td>1.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " date date_block_num shop_id item_id item_price item_cnt_day\n", "0 02.01.2013 0 59 22154 999.00 1.0\n", "1 03.01.2013 0 25 2552 899.00 1.0\n", "2 05.01.2013 0 25 2552 899.00 -1.0\n", "3 06.01.2013 0 25 2554 1709.05 1.0\n", "4 15.01.2013 0 25 2555 1099.00 1.0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "627cce67", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.606845Z", "iopub.status.busy": "2021-08-07T18:59:53.605957Z", "iopub.status.idle": "2021-08-07T18:59:53.609907Z", "shell.execute_reply": "2021-08-07T18:59:53.609412Z", "shell.execute_reply.started": "2021-08-07T18:07:25.025398Z" }, "papermill": { "duration": 0.036808, "end_time": "2021-08-07T18:59:53.610055", "exception": false, "start_time": "2021-08-07T18:59:53.573247", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(22170, 3)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "items.shape" ] }, { "cell_type": "code", "execution_count": 7, "id": "fa547554", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.677108Z", "iopub.status.busy": "2021-08-07T18:59:53.676254Z", "iopub.status.idle": "2021-08-07T18:59:53.683325Z", "shell.execute_reply": "2021-08-07T18:59:53.682522Z", "shell.execute_reply.started": "2021-08-07T18:07:25.032206Z" }, "papermill": { "duration": 0.044431, "end_time": "2021-08-07T18:59:53.683474", "exception": false, "start_time": "2021-08-07T18:59:53.639043", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>item_name</th>\n", " <th>item_id</th>\n", " <th>item_category_id</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.) D</td>\n", " <td>0</td>\n", " <td>40</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>!ABBYY FineReader 12 Professional Edition Full...</td>\n", " <td>1</td>\n", " <td>76</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>*В ЛУЧАХ СЛАВЫ (UNV) D</td>\n", " <td>2</td>\n", " <td>40</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>ГОЛУБАЯ ВОЛНА (Univ) D</td>\n", " <td>3</td>\n", " <td>40</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>КОРОБКА (СТЕКЛО) D</td>\n", " <td>4</td>\n", " <td>40</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " item_name item_id \\\n", "0 ! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.) D 0 \n", "1 !ABBYY FineReader 12 Professional Edition Full... 1 \n", "2 В ЛУЧАХ СЛАВЫ (UNV) D 2 \n", "3 ГОЛУБАЯ ВОЛНА (Univ) D 3 \n", "4 *КОРОБКА (СТЕКЛО) D 4 \n", "\n", " item_category_id \n", "0 40 \n", "1 76 \n", "2 40 \n", "3 40 \n", "4 40 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "items.head()" ] }, { "cell_type": "code", "execution_count": 8, "id": "1824124e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.748134Z", "iopub.status.busy": "2021-08-07T18:59:53.747355Z", "iopub.status.idle": "2021-08-07T18:59:53.750689Z", "shell.execute_reply": "2021-08-07T18:59:53.751192Z", "shell.execute_reply.started": "2021-08-07T18:07:25.053801Z" }, "papermill": { "duration": 0.038197, "end_time": "2021-08-07T18:59:53.751361", "exception": false, "start_time": "2021-08-07T18:59:53.713164", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(84, 2)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "categories.shape" ] }, { "cell_type": "code", "execution_count": 9, "id": "63c8169a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.826771Z", "iopub.status.busy": "2021-08-07T18:59:53.825629Z", "iopub.status.idle": "2021-08-07T18:59:53.833554Z", "shell.execute_reply": "2021-08-07T18:59:53.832629Z", "shell.execute_reply.started": "2021-08-07T18:07:25.070829Z" }, "papermill": { "duration": 0.052871, "end_time": "2021-08-07T18:59:53.833755", "exception": false, "start_time": "2021-08-07T18:59:53.780884", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>item_category_name</th>\n", " <th>item_category_id</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>PC - Гарнитуры/Наушники</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Аксессуары - PS2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>Аксессуары - PS3</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>Аксессуары - PS4</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>Аксессуары - PSP</td>\n", " <td>4</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " item_category_name item_category_id\n", "0 PC - Гарнитуры/Наушники 0\n", "1 Аксессуары - PS2 1\n", "2 Аксессуары - PS3 2\n", "3 Аксессуары - PS4 3\n", "4 Аксессуары - PSP 4" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "categories.head()" ] }, { "cell_type": "code", "execution_count": 10, "id": "9df0a741", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.915045Z", "iopub.status.busy": "2021-08-07T18:59:53.914321Z", "iopub.status.idle": "2021-08-07T18:59:53.920291Z", "shell.execute_reply": "2021-08-07T18:59:53.920827Z", "shell.execute_reply.started": "2021-08-07T18:07:25.088610Z" }, "papermill": { "duration": 0.043456, "end_time": "2021-08-07T18:59:53.920995", "exception": false, "start_time": "2021-08-07T18:59:53.877539", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(60, 2)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shops.shape" ] }, { "cell_type": "code", "execution_count": 11, "id": "5254231a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:53.991545Z", "iopub.status.busy": "2021-08-07T18:59:53.990901Z", "iopub.status.idle": "2021-08-07T18:59:54.003859Z", "shell.execute_reply": "2021-08-07T18:59:54.004367Z", "shell.execute_reply.started": "2021-08-07T18:07:25.105447Z" }, "papermill": { "duration": 0.052622, "end_time": "2021-08-07T18:59:54.004561", "exception": false, "start_time": "2021-08-07T18:59:53.951939", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>shop_name</th>\n", " <th>shop_id</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>!Якутск Орджоникидзе, 56 фран</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>!Якутск ТЦ \"Центральный\" фран</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>Адыгея ТЦ \"Мега\"</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>Балашиха ТРК \"Октябрь-Киномир\"</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>Волжский ТЦ \"Волга Молл\"</td>\n", " <td>4</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " shop_name shop_id\n", "0 !Якутск Орджоникидзе, 56 фран 0\n", "1 !Якутск ТЦ \"Центральный\" фран 1\n", "2 Адыгея ТЦ \"Мега\" 2\n", "3 Балашиха ТРК \"Октябрь-Киномир\" 3\n", "4 Волжский ТЦ \"Волга Молл\" 4" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shops.head()" ] }, { "cell_type": "code", "execution_count": 12, "id": "811a78d1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:54.074709Z", "iopub.status.busy": "2021-08-07T18:59:54.073966Z", "iopub.status.idle": "2021-08-07T18:59:54.118884Z", "shell.execute_reply": "2021-08-07T18:59:54.119752Z", "shell.execute_reply.started": "2021-08-07T18:07:25.127205Z" }, "papermill": { "duration": 0.082784, "end_time": "2021-08-07T18:59:54.120025", "exception": false, "start_time": "2021-08-07T18:59:54.037241", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n", " 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33])" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.date_block_num.unique()" ] }, { "cell_type": "code", "execution_count": 13, "id": "719a29b1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:54.196154Z", "iopub.status.busy": "2021-08-07T18:59:54.195464Z", "iopub.status.idle": "2021-08-07T18:59:54.244603Z", "shell.execute_reply": "2021-08-07T18:59:54.243632Z", "shell.execute_reply.started": "2021-08-07T18:07:25.163576Z" }, "papermill": { "duration": 0.084499, "end_time": "2021-08-07T18:59:54.244806", "exception": false, "start_time": "2021-08-07T18:59:54.160307", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "train.drop(\"date\",axis=1,inplace=True)" ] }, { "cell_type": "code", "execution_count": 14, "id": "7277830d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:54.318351Z", "iopub.status.busy": "2021-08-07T18:59:54.317399Z", "iopub.status.idle": "2021-08-07T18:59:54.641069Z", "shell.execute_reply": "2021-08-07T18:59:54.641572Z", "shell.execute_reply.started": "2021-08-07T18:07:25.195001Z" }, "papermill": { "duration": 0.359771, "end_time": "2021-08-07T18:59:54.641741", "exception": false, "start_time": "2021-08-07T18:59:54.281970", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>date_block_num</th>\n", " <th>shop_id</th>\n", " <th>item_id</th>\n", " <th>item_price</th>\n", " <th>item_cnt_day</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>date_block_num</th>\n", " <td>1.000000</td>\n", " <td>0.019273</td>\n", " <td>0.009356</td>\n", " <td>0.095010</td>\n", " <td>0.009402</td>\n", " </tr>\n", " <tr>\n", " <th>shop_id</th>\n", " <td>0.019273</td>\n", " <td>1.000000</td>\n", " <td>0.029396</td>\n", " <td>-0.024034</td>\n", " <td>-0.005230</td>\n", " </tr>\n", " <tr>\n", " <th>item_id</th>\n", " <td>0.009356</td>\n", " <td>0.029396</td>\n", " <td>1.000000</td>\n", " <td>-0.134104</td>\n", " <td>0.016650</td>\n", " </tr>\n", " <tr>\n", " <th>item_price</th>\n", " <td>0.095010</td>\n", " <td>-0.024034</td>\n", " <td>-0.134104</td>\n", " <td>1.000000</td>\n", " <td>0.011197</td>\n", " </tr>\n", " <tr>\n", " <th>item_cnt_day</th>\n", " <td>0.009402</td>\n", " <td>-0.005230</td>\n", " <td>0.016650</td>\n", " <td>0.011197</td>\n", " <td>1.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " date_block_num shop_id item_id item_price item_cnt_day\n", "date_block_num 1.000000 0.019273 0.009356 0.095010 0.009402\n", "shop_id 0.019273 1.000000 0.029396 -0.024034 -0.005230\n", "item_id 0.009356 0.029396 1.000000 -0.134104 0.016650\n", "item_price 0.095010 -0.024034 -0.134104 1.000000 0.011197\n", "item_cnt_day 0.009402 -0.005230 0.016650 0.011197 1.000000" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train.corr()" ] }, { "cell_type": "code", "execution_count": 15, "id": "206c464f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:54.710677Z", "iopub.status.busy": "2021-08-07T18:59:54.710005Z", "iopub.status.idle": "2021-08-07T18:59:55.294263Z", "shell.execute_reply": "2021-08-07T18:59:55.294779Z", "shell.execute_reply.started": "2021-08-07T18:07:25.427943Z" }, "papermill": { "duration": 0.62169, "end_time": "2021-08-07T18:59:55.294951", "exception": false, "start_time": "2021-08-07T18:59:54.673261", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.heatmap(train.corr())" ] }, { "cell_type": "code", "execution_count": 16, "id": "ea828f44", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:55.366159Z", "iopub.status.busy": "2021-08-07T18:59:55.365512Z", "iopub.status.idle": "2021-08-07T18:59:55.367806Z", "shell.execute_reply": "2021-08-07T18:59:55.368277Z", "shell.execute_reply.started": "2021-08-07T18:07:25.857371Z" }, "papermill": { "duration": 0.040875, "end_time": "2021-08-07T18:59:55.368431", "exception": false, "start_time": "2021-08-07T18:59:55.327556", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def hist(data, x, bins, title, xlabel):\n", " plt.figure(figsize = (15, 12))\n", " sns.set()\n", " sns.distplot(data[x], color = 'blue')\n", " plt.title(title)\n", " plt.xlabel(xlabel)\n", " plt.show()\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "d8ee3e64", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:55.441292Z", "iopub.status.busy": "2021-08-07T18:59:55.440391Z", "iopub.status.idle": "2021-08-07T19:00:10.318150Z", "shell.execute_reply": "2021-08-07T19:00:10.317519Z", "shell.execute_reply.started": "2021-08-07T18:07:25.864497Z" }, "papermill": { "duration": 14.917013, "end_time": "2021-08-07T19:00:10.318296", "exception": false, "start_time": "2021-08-07T18:59:55.401283", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1080x864 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "hist(train,\"date_block_num\",1,\"date_block_num_dp\",\"date_block_num\")" ] }, { "cell_type": "code", "execution_count": 18, "id": "45335fa4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:10.412583Z", "iopub.status.busy": "2021-08-07T19:00:10.411925Z", "iopub.status.idle": "2021-08-07T19:00:24.820348Z", "shell.execute_reply": "2021-08-07T19:00:24.819711Z", "shell.execute_reply.started": "2021-08-07T18:07:39.623621Z" }, "papermill": { "duration": 14.466883, "end_time": "2021-08-07T19:00:24.820509", "exception": false, "start_time": "2021-08-07T19:00:10.353626", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1080x864 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hist(train,\"shop_id\",1,\"shop_id_dp\",\"shop_id\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "ddaa48e0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:24.919153Z", "iopub.status.busy": "2021-08-07T19:00:24.918117Z", "iopub.status.idle": "2021-08-07T19:00:39.782721Z", "shell.execute_reply": "2021-08-07T19:00:39.781881Z", "shell.execute_reply.started": "2021-08-07T18:07:53.010466Z" }, "papermill": { "duration": 14.924839, "end_time": "2021-08-07T19:00:39.782932", "exception": false, "start_time": "2021-08-07T19:00:24.858093", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1080x864 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hist(train,\"item_id\",1,\"item_id_dp\",\"item_id\")" ] }, { "cell_type": "code", "execution_count": 20, "id": "57f9b8cc", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:40.014838Z", "iopub.status.busy": "2021-08-07T19:00:40.013786Z", "iopub.status.idle": "2021-08-07T19:00:50.953135Z", "shell.execute_reply": "2021-08-07T19:00:50.952648Z", "shell.execute_reply.started": "2021-08-07T18:08:06.550274Z" }, "papermill": { "duration": 11.125269, "end_time": "2021-08-07T19:00:50.953288", "exception": false, "start_time": "2021-08-07T19:00:39.828019", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1080x864 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hist(train,\"item_price\",1000,\"item_price_dp\",\"item_price\")" ] }, { "cell_type": "code", "execution_count": 21, "id": "839be421", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:51.041408Z", "iopub.status.busy": "2021-08-07T19:00:51.040789Z", "iopub.status.idle": "2021-08-07T19:00:52.176473Z", "shell.execute_reply": "2021-08-07T19:00:52.175975Z", "shell.execute_reply.started": "2021-08-07T18:08:24.144243Z" }, "papermill": { "duration": 1.182664, "end_time": "2021-08-07T19:00:52.176631", "exception": false, "start_time": "2021-08-07T19:00:50.993967", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'item_price')" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (12, 8))\n", "sns.boxplot(y=train['item_price'])\n", "plt.ylim(0, 10000)\n", "plt.grid()\n", "plt.title('Boxplot for Item_price')\n", "plt.ylabel('item_price')" ] }, { "cell_type": "code", "execution_count": 22, "id": "a1c4a81a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:52.270733Z", "iopub.status.busy": "2021-08-07T19:00:52.269682Z", "iopub.status.idle": "2021-08-07T19:00:52.273616Z", "shell.execute_reply": "2021-08-07T19:00:52.274059Z", "shell.execute_reply.started": "2021-08-07T18:08:25.436666Z" }, "papermill": { "duration": 0.055569, "end_time": "2021-08-07T19:00:52.274231", "exception": false, "start_time": "2021-08-07T19:00:52.218662", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>ID</th>\n", " <th>shop_id</th>\n", " <th>item_id</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0</td>\n", " <td>5</td>\n", " <td>5037</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>1</td>\n", " <td>5</td>\n", " <td>5320</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>2</td>\n", " <td>5</td>\n", " <td>5233</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>3</td>\n", " <td>5</td>\n", " <td>5232</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>4</td>\n", " <td>5</td>\n", " <td>5268</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " ID shop_id item_id\n", "0 0 5 5037\n", "1 1 5 5320\n", "2 2 5 5233\n", "3 3 5 5232\n", "4 4 5 5268" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test.head()" ] }, { "cell_type": "code", "execution_count": 23, "id": "48a31d26", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:52.397366Z", "iopub.status.busy": "2021-08-07T19:00:52.396272Z", "iopub.status.idle": "2021-08-07T19:00:52.400593Z", "shell.execute_reply": "2021-08-07T19:00:52.399946Z", "shell.execute_reply.started": "2021-08-07T18:08:25.448098Z" }, "papermill": { "duration": 0.083998, "end_time": "2021-08-07T19:00:52.400733", "exception": false, "start_time": "2021-08-07T19:00:52.316735", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "train.drop(\"date_block_num\",axis=1,inplace=True)" ] }, { "cell_type": "code", "execution_count": 24, "id": "0d5836ef", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:52.508635Z", "iopub.status.busy": "2021-08-07T19:00:52.507946Z", "iopub.status.idle": "2021-08-07T19:00:52.510676Z", "shell.execute_reply": "2021-08-07T19:00:52.511158Z", "shell.execute_reply.started": "2021-08-07T18:19:34.397229Z" }, "papermill": { "duration": 0.06814, "end_time": "2021-08-07T19:00:52.511326", "exception": false, "start_time": "2021-08-07T19:00:52.443186", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x_train=train[[\"shop_id\",\"item_id\"]]\n", "y_train=train[\"item_cnt_day\"]" ] }, { "cell_type": "code", "execution_count": 25, "id": "b9553351", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:52.602650Z", "iopub.status.busy": "2021-08-07T19:00:52.601679Z", "iopub.status.idle": "2021-08-07T19:00:52.604417Z", "shell.execute_reply": "2021-08-07T19:00:52.604913Z", "shell.execute_reply.started": "2021-08-07T18:26:44.681209Z" }, "papermill": { "duration": 0.051822, "end_time": "2021-08-07T19:00:52.605087", "exception": false, "start_time": "2021-08-07T19:00:52.553265", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x_test=test[[\"shop_id\",\"item_id\"]]" ] }, { "cell_type": "code", "execution_count": 26, "id": "89f5622a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:52.696098Z", "iopub.status.busy": "2021-08-07T19:00:52.695435Z", "iopub.status.idle": "2021-08-07T19:00:53.365196Z", "shell.execute_reply": "2021-08-07T19:00:53.365711Z", "shell.execute_reply.started": "2021-08-07T18:33:29.131188Z" }, "papermill": { "duration": 0.717978, "end_time": "2021-08-07T19:00:53.365953", "exception": false, "start_time": "2021-08-07T19:00:52.647975", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "x_train1,x_val,y_train1,y_val = train_test_split(x_train,y_train,test_size = .2,random_state =42)" ] }, { "cell_type": "code", "execution_count": 27, "id": "37ed68e1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:53.454976Z", "iopub.status.busy": "2021-08-07T19:00:53.454328Z", "iopub.status.idle": "2021-08-07T19:00:53.538735Z", "shell.execute_reply": "2021-08-07T19:00:53.539305Z", "shell.execute_reply.started": "2021-08-07T18:10:08.766854Z" }, "papermill": { "duration": 0.130097, "end_time": "2021-08-07T19:00:53.539471", "exception": false, "start_time": "2021-08-07T19:00:53.409374", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import confusion_matrix" ] }, { "cell_type": "code", "execution_count": 28, "id": "0c5c081e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:53.626635Z", "iopub.status.busy": "2021-08-07T19:00:53.626011Z", "iopub.status.idle": "2021-08-07T19:00:53.789748Z", "shell.execute_reply": "2021-08-07T19:00:53.789035Z", "shell.execute_reply.started": "2021-08-07T18:19:41.080042Z" }, "papermill": { "duration": 0.208301, "end_time": "2021-08-07T19:00:53.789888", "exception": false, "start_time": "2021-08-07T19:00:53.581587", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "modlr=LinearRegression()\n", "modlr=modlr.fit(x_train,y_train)" ] }, { "cell_type": "code", "execution_count": 29, "id": "9e2b78f6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:53.881500Z", "iopub.status.busy": "2021-08-07T19:00:53.880835Z", "iopub.status.idle": "2021-08-07T19:00:53.974068Z", "shell.execute_reply": "2021-08-07T19:00:53.975034Z", "shell.execute_reply.started": "2021-08-07T18:19:45.527667Z" }, "papermill": { "duration": 0.142954, "end_time": "2021-08-07T19:00:53.975345", "exception": false, "start_time": "2021-08-07T19:00:53.832391", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0.00030996952501038955" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rsq=modlr.score(x_train,y_train)\n", "rsq" ] }, { "cell_type": "code", "execution_count": 30, "id": "b0c099ca", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:54.091835Z", "iopub.status.busy": "2021-08-07T19:00:54.091156Z", "iopub.status.idle": "2021-08-07T19:00:55.306852Z", "shell.execute_reply": "2021-08-07T19:00:55.306274Z", "shell.execute_reply.started": "2021-08-07T18:28:27.113098Z" }, "papermill": { "duration": 1.262565, "end_time": "2021-08-07T19:00:55.306987", "exception": false, "start_time": "2021-08-07T19:00:54.044422", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<style type='text/css'>\n", ".datatable table.frame { margin-bottom: 0; }\n", ".datatable table.frame thead { border-bottom: none; }\n", ".datatable table.frame tr.coltypes td { color: #FFFFFF; line-height: 6px; padding: 0 0.5em;}\n", ".datatable .bool { background: #DDDD99; }\n", ".datatable .object { background: #565656; }\n", ".datatable .int { background: #5D9E5D; }\n", ".datatable .float { background: #4040CC; }\n", ".datatable .str { background: #CC4040; }\n", ".datatable .time { background: #40CC40; }\n", ".datatable .row_index { background: var(--jp-border-color3); border-right: 1px solid var(--jp-border-color0); color: var(--jp-ui-font-color3); font-size: 9px;}\n", ".datatable .frame tbody td { text-align: left; }\n", ".datatable .frame tr.coltypes .row_index { background: var(--jp-border-color0);}\n", ".datatable th:nth-child(2) { padding-left: 12px; }\n", ".datatable .hellipsis { color: var(--jp-cell-editor-border-color);}\n", ".datatable .vellipsis { background: var(--jp-layout-color0); color: var(--jp-cell-editor-border-color);}\n", ".datatable .na { color: var(--jp-cell-editor-border-color); font-size: 80%;}\n", ".datatable .sp { opacity: 0.25;}\n", ".datatable .footer { font-size: 9px; }\n", ".datatable .frame_dimensions { background: var(--jp-border-color3); border-top: 1px solid var(--jp-border-color0); color: var(--jp-ui-font-color3); display: inline-block; opacity: 0.6; padding: 1px 10px 1px 5px;}\n", "</style>\n" ], "text/plain": [ "<IPython.core.display.HTML object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from catboost import CatBoostRegressor\n", "import lightgbm as lgb" ] }, { "cell_type": "code", "execution_count": 31, "id": "0b74d76c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:55.399869Z", "iopub.status.busy": "2021-08-07T19:00:55.399195Z", "iopub.status.idle": "2021-08-07T19:00:55.402699Z", "shell.execute_reply": "2021-08-07T19:00:55.402004Z", "shell.execute_reply.started": "2021-08-07T18:34:12.186569Z" }, "papermill": { "duration": 0.052021, "end_time": "2021-08-07T19:00:55.402847", "exception": false, "start_time": "2021-08-07T19:00:55.350826", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "lgb_train = lgb.Dataset(x_train, y_train) \n", "lgb_eval = lgb.Dataset(x_val, y_val, reference=lgb_train)" ] }, { "cell_type": "code", "execution_count": 32, "id": "5dbc0092", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:00:55.497662Z", "iopub.status.busy": "2021-08-07T19:00:55.496969Z", "iopub.status.idle": "2021-08-07T19:01:08.575329Z", "shell.execute_reply": "2021-08-07T19:01:08.576308Z", "shell.execute_reply.started": "2021-08-07T18:34:58.796980Z" }, "papermill": { "duration": 13.129332, "end_time": "2021-08-07T19:01:08.576527", "exception": false, "start_time": "2021-08-07T19:00:55.447195", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[LightGBM] [Warning] Auto-choosing row-wise multi-threading, the overhead of testing was 0.021110 seconds.\n", "You can set `force_row_wise=true` to remove the overhead.\n", "And if memory is not enough, you can set `force_col_wise=true`.\n", "[LightGBM] [Info] Total Bins 315\n", "[LightGBM] [Info] Number of data points in the train set: 2935849, number of used features: 2\n", "[LightGBM] [Info] Start training from score 1.242641\n", "[1]\ttrain's l2: 6.76174\tvalid's l2: 4.57868\n", "[2]\ttrain's l2: 6.67613\tvalid's l2: 4.49506\n", "[3]\ttrain's l2: 6.61581\tvalid's l2: 4.43701\n", "[4]\ttrain's l2: 6.55586\tvalid's l2: 4.37808\n", "[5]\ttrain's l2: 6.51678\tvalid's l2: 4.34043\n", "[6]\ttrain's l2: 6.4847\tvalid's l2: 4.30974\n", "[7]\ttrain's l2: 6.4532\tvalid's l2: 4.27826\n", "[8]\ttrain's l2: 6.42643\tvalid's l2: 4.25423\n", "[9]\ttrain's l2: 6.40141\tvalid's l2: 4.2303\n", "[10]\ttrain's l2: 6.38628\tvalid's l2: 4.21622\n", "[11]\ttrain's l2: 6.36801\tvalid's l2: 4.19891\n", "[12]\ttrain's l2: 6.35707\tvalid's l2: 4.18855\n", "[13]\ttrain's l2: 6.3462\tvalid's l2: 4.17909\n", "[14]\ttrain's l2: 6.33983\tvalid's l2: 4.17299\n", "[15]\ttrain's l2: 6.3329\tvalid's l2: 4.16749\n", "[16]\ttrain's l2: 6.3203\tvalid's l2: 4.15488\n", "[17]\ttrain's l2: 6.31398\tvalid's l2: 4.15038\n", "[18]\ttrain's l2: 6.31009\tvalid's l2: 4.14737\n", "[19]\ttrain's l2: 6.30691\tvalid's l2: 4.14454\n", "[20]\ttrain's l2: 6.30119\tvalid's l2: 4.13883\n", "[21]\ttrain's l2: 6.29091\tvalid's l2: 4.12731\n", "[22]\ttrain's l2: 6.28712\tvalid's l2: 4.12382\n", "[23]\ttrain's l2: 6.28258\tvalid's l2: 4.12026\n", "[24]\ttrain's l2: 6.28066\tvalid's l2: 4.11904\n", "[25]\ttrain's l2: 6.27509\tvalid's l2: 4.11288\n", "[26]\ttrain's l2: 6.27255\tvalid's l2: 4.11104\n", "[27]\ttrain's l2: 6.2702\tvalid's l2: 4.10994\n", "[28]\ttrain's l2: 6.26627\tvalid's l2: 4.10511\n", "[29]\ttrain's l2: 6.26402\tvalid's l2: 4.1034\n", "[30]\ttrain's l2: 6.2613\tvalid's l2: 4.09939\n", "[31]\ttrain's l2: 6.2593\tvalid's l2: 4.09787\n", "[32]\ttrain's l2: 6.25699\tvalid's l2: 4.09436\n", "[33]\ttrain's l2: 6.2529\tvalid's l2: 4.08972\n", "[34]\ttrain's l2: 6.25023\tvalid's l2: 4.08714\n", "[35]\ttrain's l2: 6.24778\tvalid's l2: 4.08506\n", "[36]\ttrain's l2: 6.24493\tvalid's l2: 4.0825\n", "[37]\ttrain's l2: 6.24411\tvalid's l2: 4.08197\n", "[38]\ttrain's l2: 6.24287\tvalid's l2: 4.07999\n", "[39]\ttrain's l2: 6.24075\tvalid's l2: 4.07815\n", "[40]\ttrain's l2: 6.24011\tvalid's l2: 4.07773\n", "[41]\ttrain's l2: 6.23819\tvalid's l2: 4.07676\n", "[42]\ttrain's l2: 6.23768\tvalid's l2: 4.07645\n", "[43]\ttrain's l2: 6.23613\tvalid's l2: 4.07503\n", "[44]\ttrain's l2: 6.23459\tvalid's l2: 4.07416\n", "[45]\ttrain's l2: 6.23383\tvalid's l2: 4.07295\n", "[46]\ttrain's l2: 6.23331\tvalid's l2: 4.07245\n", "[47]\ttrain's l2: 6.23217\tvalid's l2: 4.07228\n", "[48]\ttrain's l2: 6.2315\tvalid's l2: 4.0717\n", "[49]\ttrain's l2: 6.23119\tvalid's l2: 4.07141\n", "[50]\ttrain's l2: 6.23082\tvalid's l2: 4.07108\n", "[51]\ttrain's l2: 6.22929\tvalid's l2: 4.06986\n", "[52]\ttrain's l2: 6.22864\tvalid's l2: 4.06957\n", "[53]\ttrain's l2: 6.22766\tvalid's l2: 4.06879\n", "[54]\ttrain's l2: 6.22738\tvalid's l2: 4.06856\n", "[55]\ttrain's l2: 6.22702\tvalid's l2: 4.06843\n", "[56]\ttrain's l2: 6.22613\tvalid's l2: 4.0674\n", "[57]\ttrain's l2: 6.22538\tvalid's l2: 4.06665\n", "[58]\ttrain's l2: 6.22484\tvalid's l2: 4.06624\n", "[59]\ttrain's l2: 6.22427\tvalid's l2: 4.0652\n", "[60]\ttrain's l2: 6.22402\tvalid's l2: 4.06504\n", "[61]\ttrain's l2: 6.22337\tvalid's l2: 4.06469\n", "[62]\ttrain's l2: 6.22281\tvalid's l2: 4.06453\n", "[63]\ttrain's l2: 6.2222\tvalid's l2: 4.06405\n", "[64]\ttrain's l2: 6.22201\tvalid's l2: 4.06387\n", "[65]\ttrain's l2: 6.2216\tvalid's l2: 4.06369\n", "[66]\ttrain's l2: 6.22134\tvalid's l2: 4.06351\n", "[67]\ttrain's l2: 6.22087\tvalid's l2: 4.06315\n", "[68]\ttrain's l2: 6.2203\tvalid's l2: 4.0625\n", "[69]\ttrain's l2: 6.22006\tvalid's l2: 4.06229\n", "[70]\ttrain's l2: 6.2194\tvalid's l2: 4.06122\n", "[71]\ttrain's l2: 6.21923\tvalid's l2: 4.06112\n", "[72]\ttrain's l2: 6.21878\tvalid's l2: 4.06059\n", "[73]\ttrain's l2: 6.21852\tvalid's l2: 4.06036\n", "[74]\ttrain's l2: 6.21799\tvalid's l2: 4.05966\n", "[75]\ttrain's l2: 6.21754\tvalid's l2: 4.05976\n", "[76]\ttrain's l2: 6.21738\tvalid's l2: 4.05965\n", "[77]\ttrain's l2: 6.21716\tvalid's l2: 4.05944\n", "[78]\ttrain's l2: 6.21698\tvalid's l2: 4.05936\n", "[79]\ttrain's l2: 6.21678\tvalid's l2: 4.05889\n", "[80]\ttrain's l2: 6.21663\tvalid's l2: 4.05873\n", "[81]\ttrain's l2: 6.21646\tvalid's l2: 4.05861\n", "[82]\ttrain's l2: 6.21621\tvalid's l2: 4.05842\n", "[83]\ttrain's l2: 6.21602\tvalid's l2: 4.0583\n", "[84]\ttrain's l2: 6.21569\tvalid's l2: 4.05808\n", "[85]\ttrain's l2: 6.21525\tvalid's l2: 4.05748\n", "[86]\ttrain's l2: 6.21497\tvalid's l2: 4.05735\n", "[87]\ttrain's l2: 6.21454\tvalid's l2: 4.05709\n", "[88]\ttrain's l2: 6.21428\tvalid's l2: 4.05683\n", "[89]\ttrain's l2: 6.21416\tvalid's l2: 4.05673\n", "[90]\ttrain's l2: 6.21396\tvalid's l2: 4.05642\n", "[91]\ttrain's l2: 6.2138\tvalid's l2: 4.05624\n", "[92]\ttrain's l2: 6.21365\tvalid's l2: 4.05608\n", "[93]\ttrain's l2: 6.21355\tvalid's l2: 4.05596\n", "[94]\ttrain's l2: 6.21343\tvalid's l2: 4.05579\n", "[95]\ttrain's l2: 6.2132\tvalid's l2: 4.05569\n", "[96]\ttrain's l2: 6.21281\tvalid's l2: 4.05518\n", "[97]\ttrain's l2: 6.21269\tvalid's l2: 4.0551\n", "[98]\ttrain's l2: 6.21258\tvalid's l2: 4.05501\n", "[99]\ttrain's l2: 6.21234\tvalid's l2: 4.05479\n", "[100]\ttrain's l2: 6.21225\tvalid's l2: 4.05476\n", "[101]\ttrain's l2: 6.2121\tvalid's l2: 4.05468\n", "[102]\ttrain's l2: 6.2119\tvalid's l2: 4.05462\n", "[103]\ttrain's l2: 6.21172\tvalid's l2: 4.05438\n", "[104]\ttrain's l2: 6.21164\tvalid's l2: 4.05438\n", "[105]\ttrain's l2: 6.21148\tvalid's l2: 4.05421\n", "[106]\ttrain's l2: 6.21132\tvalid's l2: 4.05421\n", "[107]\ttrain's l2: 6.2112\tvalid's l2: 4.05414\n", "[108]\ttrain's l2: 6.21098\tvalid's l2: 4.05427\n", "[109]\ttrain's l2: 6.21081\tvalid's l2: 4.05413\n", "[110]\ttrain's l2: 6.21076\tvalid's l2: 4.05413\n", "[111]\ttrain's l2: 6.21068\tvalid's l2: 4.05407\n", "[112]\ttrain's l2: 6.21056\tvalid's l2: 4.05391\n", "[113]\ttrain's l2: 6.21044\tvalid's l2: 4.0539\n", "[114]\ttrain's l2: 6.21027\tvalid's l2: 4.05382\n", "[115]\ttrain's l2: 6.21015\tvalid's l2: 4.05377\n", "[116]\ttrain's l2: 6.21011\tvalid's l2: 4.05376\n", "[117]\ttrain's l2: 6.20999\tvalid's l2: 4.05366\n", "[118]\ttrain's l2: 6.20959\tvalid's l2: 4.05301\n", "[119]\ttrain's l2: 6.20949\tvalid's l2: 4.0527\n", "[120]\ttrain's l2: 6.20942\tvalid's l2: 4.05267\n", "[121]\ttrain's l2: 6.2093\tvalid's l2: 4.05265\n", "[122]\ttrain's l2: 6.2092\tvalid's l2: 4.05252\n", "[123]\ttrain's l2: 6.20909\tvalid's l2: 4.05243\n", "[124]\ttrain's l2: 6.20888\tvalid's l2: 4.05257\n", "[125]\ttrain's l2: 6.20876\tvalid's l2: 4.05246\n", "[126]\ttrain's l2: 6.20867\tvalid's l2: 4.05246\n", "[127]\ttrain's l2: 6.20859\tvalid's l2: 4.05233\n", "[128]\ttrain's l2: 6.20853\tvalid's l2: 4.05226\n", "[129]\ttrain's l2: 6.20849\tvalid's l2: 4.05223\n", "[130]\ttrain's l2: 6.20845\tvalid's l2: 4.05221\n", "[131]\ttrain's l2: 6.20837\tvalid's l2: 4.05215\n", "[132]\ttrain's l2: 6.20821\tvalid's l2: 4.05212\n", "[133]\ttrain's l2: 6.20811\tvalid's l2: 4.05204\n", "[134]\ttrain's l2: 6.20803\tvalid's l2: 4.05197\n", "[135]\ttrain's l2: 6.20789\tvalid's l2: 4.05198\n", "[136]\ttrain's l2: 6.20782\tvalid's l2: 4.05192\n", "[137]\ttrain's l2: 6.20777\tvalid's l2: 4.05188\n", "[138]\ttrain's l2: 6.20765\tvalid's l2: 4.05185\n", "[139]\ttrain's l2: 6.20758\tvalid's l2: 4.05187\n", "[140]\ttrain's l2: 6.20747\tvalid's l2: 4.05177\n", "[141]\ttrain's l2: 6.20734\tvalid's l2: 4.05156\n", "[142]\ttrain's l2: 6.20725\tvalid's l2: 4.05148\n", "[143]\ttrain's l2: 6.20722\tvalid's l2: 4.05149\n", "[144]\ttrain's l2: 6.20707\tvalid's l2: 4.05145\n", "[145]\ttrain's l2: 6.20702\tvalid's l2: 4.05138\n", "[146]\ttrain's l2: 6.20698\tvalid's l2: 4.05135\n", "[147]\ttrain's l2: 6.20689\tvalid's l2: 4.05127\n", "[148]\ttrain's l2: 6.20678\tvalid's l2: 4.05129\n", "[149]\ttrain's l2: 6.20673\tvalid's l2: 4.05124\n", "[150]\ttrain's l2: 6.20662\tvalid's l2: 4.05111\n", "[151]\ttrain's l2: 6.20657\tvalid's l2: 4.05106\n", "[152]\ttrain's l2: 6.20628\tvalid's l2: 4.05062\n", "[153]\ttrain's l2: 6.20626\tvalid's l2: 4.05059\n", "[154]\ttrain's l2: 6.20623\tvalid's l2: 4.05059\n", "[155]\ttrain's l2: 6.20613\tvalid's l2: 4.0506\n", "[156]\ttrain's l2: 6.20602\tvalid's l2: 4.05063\n", "[157]\ttrain's l2: 6.20596\tvalid's l2: 4.05065\n", "[158]\ttrain's l2: 6.20588\tvalid's l2: 4.05054\n", "[159]\ttrain's l2: 6.20585\tvalid's l2: 4.05053\n", "[160]\ttrain's l2: 6.20579\tvalid's l2: 4.0504\n", "[161]\ttrain's l2: 6.20577\tvalid's l2: 4.05036\n", "[162]\ttrain's l2: 6.2057\tvalid's l2: 4.0503\n", "[163]\ttrain's l2: 6.20565\tvalid's l2: 4.05023\n", "[164]\ttrain's l2: 6.20562\tvalid's l2: 4.05022\n", "[165]\ttrain's l2: 6.20555\tvalid's l2: 4.05012\n", "[166]\ttrain's l2: 6.20548\tvalid's l2: 4.05005\n", "[167]\ttrain's l2: 6.20546\tvalid's l2: 4.05004\n", "[168]\ttrain's l2: 6.2054\tvalid's l2: 4.04999\n", "[169]\ttrain's l2: 6.20533\tvalid's l2: 4.04993\n", "[170]\ttrain's l2: 6.20528\tvalid's l2: 4.04992\n", "[171]\ttrain's l2: 6.20496\tvalid's l2: 4.04945\n", "[172]\ttrain's l2: 6.20494\tvalid's l2: 4.04945\n", "[173]\ttrain's l2: 6.2049\tvalid's l2: 4.04942\n", "[174]\ttrain's l2: 6.20484\tvalid's l2: 4.04935\n", "[175]\ttrain's l2: 6.20459\tvalid's l2: 4.04889\n", "[176]\ttrain's l2: 6.20453\tvalid's l2: 4.04886\n", "[177]\ttrain's l2: 6.20446\tvalid's l2: 4.04874\n", "[178]\ttrain's l2: 6.20423\tvalid's l2: 4.04834\n", "[179]\ttrain's l2: 6.20418\tvalid's l2: 4.0483\n", "[180]\ttrain's l2: 6.20411\tvalid's l2: 4.04803\n", "[181]\ttrain's l2: 6.20409\tvalid's l2: 4.04801\n", "[182]\ttrain's l2: 6.20404\tvalid's l2: 4.04805\n", "[183]\ttrain's l2: 6.20395\tvalid's l2: 4.04804\n", "[184]\ttrain's l2: 6.20391\tvalid's l2: 4.04801\n", "[185]\ttrain's l2: 6.20381\tvalid's l2: 4.04804\n", "[186]\ttrain's l2: 6.20379\tvalid's l2: 4.04804\n", "[187]\ttrain's l2: 6.20375\tvalid's l2: 4.04802\n", "[188]\ttrain's l2: 6.20366\tvalid's l2: 4.04809\n", "[189]\ttrain's l2: 6.20362\tvalid's l2: 4.04804\n", "[190]\ttrain's l2: 6.20357\tvalid's l2: 4.04782\n", "[191]\ttrain's l2: 6.20354\tvalid's l2: 4.04779\n", "[192]\ttrain's l2: 6.20347\tvalid's l2: 4.04782\n", "[193]\ttrain's l2: 6.20345\tvalid's l2: 4.0478\n", "[194]\ttrain's l2: 6.20342\tvalid's l2: 4.04779\n", "[195]\ttrain's l2: 6.20339\tvalid's l2: 4.04777\n", "[196]\ttrain's l2: 6.20334\tvalid's l2: 4.04773\n", "[197]\ttrain's l2: 6.20333\tvalid's l2: 4.04773\n", "[198]\ttrain's l2: 6.20328\tvalid's l2: 4.04758\n", "[199]\ttrain's l2: 6.20326\tvalid's l2: 4.04755\n", "[200]\ttrain's l2: 6.20322\tvalid's l2: 4.04752\n" ] } ], "source": [ "params = {'boosting_type': 'gbdt',\n", " 'objective': 'regression',\n", " 'num_leaves': 40,\n", " 'learning_rate': 0.1,\n", " 'feature_fraction': 0.9\n", " }\n", "gbm = lgb.train(params,\n", " lgb_train,\n", " num_boost_round=200,\n", " valid_sets=[lgb_train, lgb_eval],\n", " valid_names=['train','valid'])" ] }, { "cell_type": "code", "execution_count": 33, "id": "c09db425", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:01:08.708620Z", "iopub.status.busy": "2021-08-07T19:01:08.707631Z", "iopub.status.idle": "2021-08-07T19:01:09.380385Z", "shell.execute_reply": "2021-08-07T19:01:09.381375Z", "shell.execute_reply.started": "2021-08-07T18:50:28.691562Z" }, "papermill": { "duration": 0.743249, "end_time": "2021-08-07T19:01:09.381599", "exception": false, "start_time": "2021-08-07T19:01:08.638350", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([1.05684892, 1.05985966, 1.05985966, ..., 1.03074777, 1.03814305,\n", " 1.04728946])" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_te=gbm.predict(x_test).clip(0,40)\n", "y_te" ] }, { "cell_type": "code", "execution_count": 34, "id": "77d5ac91", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:01:09.507800Z", "iopub.status.busy": "2021-08-07T19:01:09.507180Z", "iopub.status.idle": "2021-08-07T19:01:10.284710Z", "shell.execute_reply": "2021-08-07T19:01:10.285551Z", "shell.execute_reply.started": "2021-08-07T18:54:43.312080Z" }, "papermill": { "duration": 0.843136, "end_time": "2021-08-07T19:01:10.285773", "exception": false, "start_time": "2021-08-07T19:01:09.442637", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " ID item_cnt_month\n", "0 0 1.056849\n", "1 1 1.059860\n", "2 2 1.059860\n", "3 3 1.020015\n", "4 4 1.059860\n", "... ... ...\n", "214195 214195 1.013463\n", "214196 214196 1.058523\n", "214197 214197 1.030748\n", "214198 214198 1.038143\n", "214199 214199 1.047289\n", "\n", "[214200 rows x 2 columns]\n" ] } ], "source": [ "\n", "submission = pd.DataFrame({\n", " 'ID': test.index, \n", " 'item_cnt_month': y_te\n", "})\n", "submission.to_csv('sales_submission.csv', index=False)\n", "print(submission)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 89.662005, "end_time": "2021-08-07T19:01:11.157168", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T18:59:41.495163", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/599/70599980.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "30b4f849", "metadata": { "papermill": { "duration": 0.056784, "end_time": "2021-08-07T19:03:05.815518", "exception": false, "start_time": "2021-08-07T19:03:05.758734", "status": "completed" }, "tags": [] }, "source": [ "\n", "# <center>EDA of 1000 Movies Data</center>" ] }, { "cell_type": "markdown", "id": "7bf33ab9", "metadata": { "papermill": { "duration": 0.053386, "end_time": "2021-08-07T19:03:05.923134", "exception": false, "start_time": "2021-08-07T19:03:05.869748", "status": "completed" }, "tags": [] }, "source": [ "## Table of Contents\n", " \n", "1. [Problem Statement](#section1)</br>\n", " - 1.1 [Introduction](#section101)<br/>\n", "<br>\n", "2. [Data Loading and Description](#section2)</br>\n", " - 2.1 [Importing Packages](#section201)<br/>\n", " - 2.2 [Importing Dataset](#section202)<br/>\n", "<br>\n", "3. [Data profiling](#section3)</br>\n", " - 3.1 [Understanding Data](#section301)<br/>\n", " - 3.2 [Data Preprofiling](#section302)<br/>\n", " - 3.3 [Data Preprocessing](#section303)<br/>\n", " - 3.4 [Data Postprocessing](#section304)<br/> \n", "<br>\n", "4. [1000 Movies Data Analysis](#section4)</br>\n", " - 4.1 [How many movies are released per year over the period 2006-2016?](#section401)<br/>\n", " - 4.2 [What are the top 10 Movies with Highest Revenue?](#section402)<br/>\n", " - 4.3 [What is the Revenue trend of the Movies over the years?](#section403)<br/>\n", " - 4.4 [Relation between Rating and Revenue](#section404)<br/>\n", " - 4.5 [Analysing Genres of all the movies individually](#section405)<br/> \n", " - 4.6 [Who are the Highest and Lowest Revenue(Cumm.) generated Directors?](#section406)<br/>\n", " - 4.7 [Do all the parameters(Votes, Metascore, Rating) speak the same about a movie?](#section407)<br/>\n", " - 4.8 [Which Actors had appeared in Highest number of movies?](#section408)<br/>\n", " - 4.9 [What are the movies with highest - Rating, Metascore and Votes?](#section409)<br/> \n", " - 4.10 [Which are the highest Revenue generated Genres ?](#section410)<br/>\n", " - 4.11 [What are the top and bottom 10 Genres (Combination) ?](#section411)<br/>\n", " - 4.12 [Is there a change in Movie Runtime(avg) over the years](#section412)<br/> \n", "</br>\n", "5. [Conclusion](#section5)</br> \n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "cd5562c1", "metadata": { "papermill": { "duration": 0.06379, "end_time": "2021-08-07T19:03:06.041876", "exception": false, "start_time": "2021-08-07T19:03:05.978086", "status": "completed" }, "tags": [] }, "source": [ "<a id=section1></a>\n", "## 1. Problem statement\n", "\n", "The dataset consists of 1000 movies information over the period (2006-2016) with various variables. Such as, Title, Year of release, Revenue, Ratings, Votes, Actors and Genres. Insights from this dataset guides Producers, Distributors, Theatres and Others in understanding the movies trend in all the aspects.\n", "\n", "\n", "<a id=section101></a>\n", "### 1.1 Introduction:\n", "\n", "This Exploratory Data Analysis is to practice Python skills learned till now on a structured data set including loading, inspecting, wrangling, exploring, and drawing conclusions from data. The notebook has observations with each step in order to explain thoroughly how to approach the data set. Based on the observation some questions are also answered in the notebook for the reference though not all of them are explored in the analysis." ] }, { "cell_type": "markdown", "id": "5b5b955c", "metadata": { "papermill": { "duration": 0.056854, "end_time": "2021-08-07T19:03:06.154047", "exception": false, "start_time": "2021-08-07T19:03:06.097193", "status": "completed" }, "tags": [] }, "source": [ "<a id=section2></a>\n", "## 2. Data Loading and Description:\n", "\n", "The dataset comprises of __1000 observations of 12 columns__. Below is a table showing names of all the columns and their description." ] }, { "cell_type": "markdown", "id": "e0811fdd", "metadata": { "papermill": { "duration": 0.054498, "end_time": "2021-08-07T19:03:06.263952", "exception": false, "start_time": "2021-08-07T19:03:06.209454", "status": "completed" }, "tags": [] }, "source": [ "\| Column Name \| Description \|\n", "\| -------------------\|:-----------------------------------------------------------:\| \n", "\| Rank \| Rank of the movie \| \n", "\| Title \| Title of the movie \| \n", "\| Genre \| Style\\Category of the movie \| \n", "\| Description \| Movie description \| \n", "\| Director \| Director of the movie \|\n", "\| Actors \| Actors\\Lead roles in the movie \|\n", "\| Year \| Year in which movie is released \|\n", "\| Runtine_(Minutes) \| Movie length in minutes \|\n", "\| Rating \| Rating of movie on 10 scale \|\n", "\| Votes \| Count of votes for the movie \|\n", "\| Revenue_(Millions) \| Revenue generated by the movie \|\n", "\| Metascore \| Weighted average of the reviews from most respected critics \|" ] }, { "cell_type": "markdown", "id": "22ccb4e5", "metadata": { "papermill": { "duration": 0.054647, "end_time": "2021-08-07T19:03:06.372893", "exception": false, "start_time": "2021-08-07T19:03:06.318246", "status": "completed" }, "tags": [] }, "source": [ "# <a id=section201></a>\n", "### 2.1 Importing Packages:" ] }, { "cell_type": "code", "execution_count": 1, "id": "5bc076d7", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:06.520973Z", "iopub.status.busy": "2021-08-07T19:03:06.520247Z", "iopub.status.idle": "2021-08-07T19:03:08.986128Z", "shell.execute_reply": "2021-08-07T19:03:08.985338Z", "shell.execute_reply.started": "2021-08-07T18:59:20.680286Z" }, "papermill": { "duration": 2.546375, "end_time": "2021-08-07T19:03:08.986324", "exception": false, "start_time": "2021-08-07T19:03:06.439949", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np # Implements multi-dimensional array and matrices\n", "import pandas as pd # For data manipulation and analysis\n", "import pandas_profiling\n", "import matplotlib.pyplot as plt # Plotting library for Python programming language and it's numerical mathematics extension NumPy\n", "import seaborn as sns # Provides a high level interface for drawing attractive and informative statistical graphics\n", "%matplotlib inline\n", "sns.set()\n", "\n", "from subprocess import check_output # To check output" ] }, { "cell_type": "markdown", "id": "e68c3391", "metadata": { "papermill": { "duration": 0.053443, "end_time": "2021-08-07T19:03:09.092996", "exception": false, "start_time": "2021-08-07T19:03:09.039553", "status": "completed" }, "tags": [] }, "source": [ "<a id=section202></a>\n", "### 2.2 Importing Dataset:" ] }, { "cell_type": "code", "execution_count": 2, "id": "3ca427ed", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:09.216522Z", "iopub.status.busy": "2021-08-07T19:03:09.215850Z", "iopub.status.idle": "2021-08-07T19:03:09.548823Z", "shell.execute_reply": "2021-08-07T19:03:09.548132Z", "shell.execute_reply.started": "2021-08-07T18:59:23.170701Z" }, "papermill": { "duration": 0.401175, "end_time": "2021-08-07T19:03:09.548974", "exception": false, "start_time": "2021-08-07T19:03:09.147799", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#Reading 1000 Movies Dataset\n", "md = pd.read_csv(\"https://raw.githubusercontent.com/insaid2018/Term-1/master/Data/Projects/1000%20movies%20data.csv\")" ] }, { "cell_type": "markdown", "id": "bb0dc350", "metadata": { "papermill": { "duration": 0.05429, "end_time": "2021-08-07T19:03:09.658348", "exception": false, "start_time": "2021-08-07T19:03:09.604058", "status": "completed" }, "tags": [] }, "source": [ "<a id=section3></a>\n", "## 3. Data Profiling:\n", "\n", "- Firstly, I will __understand our dataset__ using various pandas functionalities.\n", "- Then, with the help of __pandas profiling__ I will find which columns of the dataset need preprocessing.\n", "- In __preprocessing__, I will deal with erronous and missing values. \n", "- Then after, I will do __pandas profiling__ again, to see how preprocessing has transformed the dataset." ] }, { "cell_type": "markdown", "id": "65cf1c12", "metadata": { "papermill": { "duration": 0.052812, "end_time": "2021-08-07T19:03:09.765613", "exception": false, "start_time": "2021-08-07T19:03:09.712801", "status": "completed" }, "tags": [] }, "source": [ "<a id=section301></a>\n", "### 3.1 Understanding Data:\n", "- Displaying the first five rows of the data to understand variables.\n", "- Finding the shape of dataset." ] }, { "cell_type": "code", "execution_count": 3, "id": "4e6e1c3c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:09.883873Z", "iopub.status.busy": "2021-08-07T19:03:09.883185Z", "iopub.status.idle": "2021-08-07T19:03:09.915196Z", "shell.execute_reply": "2021-08-07T19:03:09.914744Z", "shell.execute_reply.started": "2021-08-07T18:59:23.387847Z" }, "papermill": { "duration": 0.096477, "end_time": "2021-08-07T19:03:09.915346", "exception": false, "start_time": "2021-08-07T19:03:09.818869", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Description</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>Guardians of the Galaxy</td>\n", " <td>Action,Adventure,Sci-Fi</td>\n", " <td>A group of intergalactic criminals are forced ...</td>\n", " <td>James Gunn</td>\n", " <td>Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S...</td>\n", " <td>2014</td>\n", " <td>121</td>\n", " <td>8.1</td>\n", " <td>757074</td>\n", " <td>333.13</td>\n", " <td>76.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>Prometheus</td>\n", " <td>Adventure,Mystery,Sci-Fi</td>\n", " <td>Following clues to the origin of mankind, a te...</td>\n", " <td>Ridley Scott</td>\n", " <td>Noomi Rapace, Logan Marshall-Green, Michael Fa...</td>\n", " <td>2012</td>\n", " <td>124</td>\n", " <td>7.0</td>\n", " <td>485820</td>\n", " <td>126.46</td>\n", " <td>65.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>Split</td>\n", " <td>Horror,Thriller</td>\n", " <td>Three girls are kidnapped by a man with a diag...</td>\n", " <td>M. Night Shyamalan</td>\n", " <td>James McAvoy, Anya Taylor-Joy, Haley Lu Richar...</td>\n", " <td>2016</td>\n", " <td>117</td>\n", " <td>7.3</td>\n", " <td>157606</td>\n", " <td>138.12</td>\n", " <td>62.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>Sing</td>\n", " <td>Animation,Comedy,Family</td>\n", " <td>In a city of humanoid animals, a hustling thea...</td>\n", " <td>Christophe Lourdelet</td>\n", " <td>Matthew McConaughey,Reese Witherspoon, Seth Ma...</td>\n", " <td>2016</td>\n", " <td>108</td>\n", " <td>7.2</td>\n", " <td>60545</td>\n", " <td>270.32</td>\n", " <td>59.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>Suicide Squad</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>A secret government agency recruits some of th...</td>\n", " <td>David Ayer</td>\n", " <td>Will Smith, Jared Leto, Margot Robbie, Viola D...</td>\n", " <td>2016</td>\n", " <td>123</td>\n", " <td>6.2</td>\n", " <td>393727</td>\n", " <td>325.02</td>\n", " <td>40.0</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>6</td>\n", " <td>The Great Wall</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>European mercenaries searching for black powde...</td>\n", " <td>Yimou Zhang</td>\n", " <td>Matt Damon, Tian Jing, Willem Dafoe, Andy Lau</td>\n", " <td>2016</td>\n", " <td>103</td>\n", " <td>6.1</td>\n", " <td>56036</td>\n", " <td>45.13</td>\n", " <td>42.0</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>7</td>\n", " <td>La La Land</td>\n", " <td>Comedy,Drama,Music</td>\n", " <td>A jazz pianist falls for an aspiring actress i...</td>\n", " <td>Damien Chazelle</td>\n", " <td>Ryan Gosling, Emma Stone, Rosemarie DeWitt, J....</td>\n", " <td>2016</td>\n", " <td>128</td>\n", " <td>8.3</td>\n", " <td>258682</td>\n", " <td>151.06</td>\n", " <td>93.0</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>8</td>\n", " <td>Mindhorn</td>\n", " <td>Comedy</td>\n", " <td>A has-been actor best known for playing the ti...</td>\n", " <td>Sean Foley</td>\n", " <td>Essie Davis, Andrea Riseborough, Julian Barrat...</td>\n", " <td>2016</td>\n", " <td>89</td>\n", " <td>6.4</td>\n", " <td>2490</td>\n", " <td>NaN</td>\n", " <td>71.0</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>9</td>\n", " <td>The Lost City of Z</td>\n", " <td>Action,Adventure,Biography</td>\n", " <td>A true-life drama, centering on British explor...</td>\n", " <td>James Gray</td>\n", " <td>Charlie Hunnam, Robert Pattinson, Sienna Mille...</td>\n", " <td>2016</td>\n", " <td>141</td>\n", " <td>7.1</td>\n", " <td>7188</td>\n", " <td>8.01</td>\n", " <td>78.0</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>10</td>\n", " <td>Passengers</td>\n", " <td>Adventure,Drama,Romance</td>\n", " <td>A spacecraft traveling to a distant colony pla...</td>\n", " <td>Morten Tyldum</td>\n", " <td>Jennifer Lawrence, Chris Pratt, Michael Sheen,...</td>\n", " <td>2016</td>\n", " <td>116</td>\n", " <td>7.0</td>\n", " <td>192177</td>\n", " <td>100.01</td>\n", " <td>41.0</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>11</td>\n", " <td>Fantastic Beasts and Where to Find Them</td>\n", " <td>Adventure,Family,Fantasy</td>\n", " <td>The adventures of writer Newt Scamander in New...</td>\n", " <td>David Yates</td>\n", " <td>Eddie Redmayne, Katherine Waterston, Alison Su...</td>\n", " <td>2016</td>\n", " <td>133</td>\n", " <td>7.5</td>\n", " <td>232072</td>\n", " <td>234.02</td>\n", " <td>66.0</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>12</td>\n", " <td>Hidden Figures</td>\n", " <td>Biography,Drama,History</td>\n", " <td>The story of a team of female African-American...</td>\n", " <td>Theodore Melfi</td>\n", " <td>Taraji P. Henson, Octavia Spencer, Janelle Mon...</td>\n", " <td>2016</td>\n", " <td>127</td>\n", " <td>7.8</td>\n", " <td>93103</td>\n", " <td>169.27</td>\n", " <td>74.0</td>\n", " </tr>\n", " <tr>\n", " <th>12</th>\n", " <td>13</td>\n", " <td>Rogue One</td>\n", " <td>Action,Adventure,Sci-Fi</td>\n", " <td>The Rebel Alliance makes a risky move to steal...</td>\n", " <td>Gareth Edwards</td>\n", " <td>Felicity Jones, Diego Luna, Alan Tudyk, Donnie...</td>\n", " <td>2016</td>\n", " <td>133</td>\n", " <td>7.9</td>\n", " <td>323118</td>\n", " <td>532.17</td>\n", " <td>65.0</td>\n", " </tr>\n", " <tr>\n", " <th>13</th>\n", " <td>14</td>\n", " <td>Moana</td>\n", " <td>Animation,Adventure,Comedy</td>\n", " <td>In Ancient Polynesia, when a terrible curse in...</td>\n", " <td>Ron Clements</td>\n", " <td>Auli'i Cravalho, Dwayne Johnson, Rachel House,...</td>\n", " <td>2016</td>\n", " <td>107</td>\n", " <td>7.7</td>\n", " <td>118151</td>\n", " <td>248.75</td>\n", " <td>81.0</td>\n", " </tr>\n", " <tr>\n", " <th>14</th>\n", " <td>15</td>\n", " <td>Colossal</td>\n", " <td>Action,Comedy,Drama</td>\n", " <td>Gloria is an out-of-work party girl forced to ...</td>\n", " <td>Nacho Vigalondo</td>\n", " <td>Anne Hathaway, Jason Sudeikis, Austin Stowell,...</td>\n", " <td>2016</td>\n", " <td>109</td>\n", " <td>6.4</td>\n", " <td>8612</td>\n", " <td>2.87</td>\n", " <td>70.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "0 1 Guardians of the Galaxy Action,Adventure,Sci-Fi \n", "1 2 Prometheus Adventure,Mystery,Sci-Fi \n", "2 3 Split Horror,Thriller \n", "3 4 Sing Animation,Comedy,Family \n", "4 5 Suicide Squad Action,Adventure,Fantasy \n", "5 6 The Great Wall Action,Adventure,Fantasy \n", "6 7 La La Land Comedy,Drama,Music \n", "7 8 Mindhorn Comedy \n", "8 9 The Lost City of Z Action,Adventure,Biography \n", "9 10 Passengers Adventure,Drama,Romance \n", "10 11 Fantastic Beasts and Where to Find Them Adventure,Family,Fantasy \n", "11 12 Hidden Figures Biography,Drama,History \n", "12 13 Rogue One Action,Adventure,Sci-Fi \n", "13 14 Moana Animation,Adventure,Comedy \n", "14 15 Colossal Action,Comedy,Drama \n", "\n", " Description Director \\\n", "0 A group of intergalactic criminals are forced ... James Gunn \n", "1 Following clues to the origin of mankind, a te... Ridley Scott \n", "2 Three girls are kidnapped by a man with a diag... M. Night Shyamalan \n", "3 In a city of humanoid animals, a hustling thea... Christophe Lourdelet \n", "4 A secret government agency recruits some of th... David Ayer \n", "5 European mercenaries searching for black powde... Yimou Zhang \n", "6 A jazz pianist falls for an aspiring actress i... Damien Chazelle \n", "7 A has-been actor best known for playing the ti... Sean Foley \n", "8 A true-life drama, centering on British explor... James Gray \n", "9 A spacecraft traveling to a distant colony pla... Morten Tyldum \n", "10 The adventures of writer Newt Scamander in New... David Yates \n", "11 The story of a team of female African-American... Theodore Melfi \n", "12 The Rebel Alliance makes a risky move to steal... Gareth Edwards \n", "13 In Ancient Polynesia, when a terrible curse in... Ron Clements \n", "14 Gloria is an out-of-work party girl forced to ... Nacho Vigalondo \n", "\n", " Actors Year \\\n", "0 Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S... 2014 \n", "1 Noomi Rapace, Logan Marshall-Green, Michael Fa... 2012 \n", "2 James McAvoy, Anya Taylor-Joy, Haley Lu Richar... 2016 \n", "3 Matthew McConaughey,Reese Witherspoon, Seth Ma... 2016 \n", "4 Will Smith, Jared Leto, Margot Robbie, Viola D... 2016 \n", "5 Matt Damon, Tian Jing, Willem Dafoe, Andy Lau 2016 \n", "6 Ryan Gosling, Emma Stone, Rosemarie DeWitt, J.... 2016 \n", "7 Essie Davis, Andrea Riseborough, Julian Barrat... 2016 \n", "8 Charlie Hunnam, Robert Pattinson, Sienna Mille... 2016 \n", "9 Jennifer Lawrence, Chris Pratt, Michael Sheen,... 2016 \n", "10 Eddie Redmayne, Katherine Waterston, Alison Su... 2016 \n", "11 Taraji P. Henson, Octavia Spencer, Janelle Mon... 2016 \n", "12 Felicity Jones, Diego Luna, Alan Tudyk, Donnie... 2016 \n", "13 Auli'i Cravalho, Dwayne Johnson, Rachel House,... 2016 \n", "14 Anne Hathaway, Jason Sudeikis, Austin Stowell,... 2016 \n", "\n", " Runtime (Minutes) Rating Votes Revenue (Millions) Metascore \n", "0 121 8.1 757074 333.13 76.0 \n", "1 124 7.0 485820 126.46 65.0 \n", "2 117 7.3 157606 138.12 62.0 \n", "3 108 7.2 60545 270.32 59.0 \n", "4 123 6.2 393727 325.02 40.0 \n", "5 103 6.1 56036 45.13 42.0 \n", "6 128 8.3 258682 151.06 93.0 \n", "7 89 6.4 2490 NaN 71.0 \n", "8 141 7.1 7188 8.01 78.0 \n", "9 116 7.0 192177 100.01 41.0 \n", "10 133 7.5 232072 234.02 66.0 \n", "11 127 7.8 93103 169.27 74.0 \n", "12 133 7.9 323118 532.17 65.0 \n", "13 107 7.7 118151 248.75 81.0 \n", "14 109 6.4 8612 2.87 70.0 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.head(15) # Display the first five rows of the dataset." ] }, { "cell_type": "code", "execution_count": 4, "id": "9123fcdb", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:10.043621Z", "iopub.status.busy": "2021-08-07T19:03:10.042794Z", "iopub.status.idle": "2021-08-07T19:03:10.047418Z", "shell.execute_reply": "2021-08-07T19:03:10.046864Z", "shell.execute_reply.started": "2021-08-07T18:59:23.430683Z" }, "papermill": { "duration": 0.077709, "end_time": "2021-08-07T19:03:10.047563", "exception": false, "start_time": "2021-08-07T19:03:09.969854", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Description</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>990</th>\n", " <td>991</td>\n", " <td>Underworld: Rise of the Lycans</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>An origins story centered on the centuries-old...</td>\n", " <td>Patrick Tatopoulos</td>\n", " <td>Rhona Mitra, Michael Sheen, Bill Nighy, Steven...</td>\n", " <td>2009</td>\n", " <td>92</td>\n", " <td>6.6</td>\n", " <td>129708</td>\n", " <td>45.80</td>\n", " <td>44.0</td>\n", " </tr>\n", " <tr>\n", " <th>991</th>\n", " <td>992</td>\n", " <td>Taare Zameen Par</td>\n", " <td>Drama,Family,Music</td>\n", " <td>An eight-year-old boy is thought to be a lazy ...</td>\n", " <td>Aamir Khan</td>\n", " <td>Darsheel Safary, Aamir Khan, Tanay Chheda, Sac...</td>\n", " <td>2007</td>\n", " <td>165</td>\n", " <td>8.5</td>\n", " <td>102697</td>\n", " <td>1.20</td>\n", " <td>42.0</td>\n", " </tr>\n", " <tr>\n", " <th>992</th>\n", " <td>993</td>\n", " <td>Take Me Home Tonight</td>\n", " <td>Comedy,Drama,Romance</td>\n", " <td>Four years after graduation, an awkward high s...</td>\n", " <td>Michael Dowse</td>\n", " <td>Topher Grace, Anna Faris, Dan Fogler, Teresa P...</td>\n", " <td>2011</td>\n", " <td>97</td>\n", " <td>6.3</td>\n", " <td>45419</td>\n", " <td>6.92</td>\n", " <td>NaN</td>\n", " </tr>\n", " <tr>\n", " <th>993</th>\n", " <td>994</td>\n", " <td>Resident Evil: Afterlife</td>\n", " <td>Action,Adventure,Horror</td>\n", " <td>While still out to destroy the evil Umbrella C...</td>\n", " <td>Paul W.S. Anderson</td>\n", " <td>Milla Jovovich, Ali Larter, Wentworth Miller,K...</td>\n", " <td>2010</td>\n", " <td>97</td>\n", " <td>5.9</td>\n", " <td>140900</td>\n", " <td>60.13</td>\n", " <td>37.0</td>\n", " </tr>\n", " <tr>\n", " <th>994</th>\n", " <td>995</td>\n", " <td>Project X</td>\n", " <td>Comedy</td>\n", " <td>3 high school seniors throw a birthday party t...</td>\n", " <td>Nima Nourizadeh</td>\n", " <td>Thomas Mann, Oliver Cooper, Jonathan Daniel Br...</td>\n", " <td>2012</td>\n", " <td>88</td>\n", " <td>6.7</td>\n", " <td>164088</td>\n", " <td>54.72</td>\n", " <td>48.0</td>\n", " </tr>\n", " <tr>\n", " <th>995</th>\n", " <td>996</td>\n", " <td>Secret in Their Eyes</td>\n", " <td>Crime,Drama,Mystery</td>\n", " <td>A tight-knit team of rising investigators, alo...</td>\n", " <td>Billy Ray</td>\n", " <td>Chiwetel Ejiofor, Nicole Kidman, Julia Roberts...</td>\n", " <td>2015</td>\n", " <td>111</td>\n", " <td>6.2</td>\n", " <td>27585</td>\n", " <td>NaN</td>\n", " <td>45.0</td>\n", " </tr>\n", " <tr>\n", " <th>996</th>\n", " <td>997</td>\n", " <td>Hostel: Part II</td>\n", " <td>Horror</td>\n", " <td>Three American college students studying abroa...</td>\n", " <td>Eli Roth</td>\n", " <td>Lauren German, Heather Matarazzo, Bijou Philli...</td>\n", " <td>2007</td>\n", " <td>94</td>\n", " <td>5.5</td>\n", " <td>73152</td>\n", " <td>17.54</td>\n", " <td>46.0</td>\n", " </tr>\n", " <tr>\n", " <th>997</th>\n", " <td>998</td>\n", " <td>Step Up 2: The Streets</td>\n", " <td>Drama,Music,Romance</td>\n", " <td>Romantic sparks occur between two dance studen...</td>\n", " <td>Jon M. Chu</td>\n", " <td>Robert Hoffman, Briana Evigan, Cassie Ventura,...</td>\n", " <td>2008</td>\n", " <td>98</td>\n", " <td>6.2</td>\n", " <td>70699</td>\n", " <td>58.01</td>\n", " <td>50.0</td>\n", " </tr>\n", " <tr>\n", " <th>998</th>\n", " <td>999</td>\n", " <td>Search Party</td>\n", " <td>Adventure,Comedy</td>\n", " <td>A pair of friends embark on a mission to reuni...</td>\n", " <td>Scot Armstrong</td>\n", " <td>Adam Pally, T.J. Miller, Thomas Middleditch,Sh...</td>\n", " <td>2014</td>\n", " <td>93</td>\n", " <td>5.6</td>\n", " <td>4881</td>\n", " <td>NaN</td>\n", " <td>22.0</td>\n", " </tr>\n", " <tr>\n", " <th>999</th>\n", " <td>1000</td>\n", " <td>Nine Lives</td>\n", " <td>Comedy,Family,Fantasy</td>\n", " <td>A stuffy businessman finds himself trapped ins...</td>\n", " <td>Barry Sonnenfeld</td>\n", " <td>Kevin Spacey, Jennifer Garner, Robbie Amell,Ch...</td>\n", " <td>2016</td>\n", " <td>87</td>\n", " <td>5.3</td>\n", " <td>12435</td>\n", " <td>19.64</td>\n", " <td>11.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "990 991 Underworld: Rise of the Lycans Action,Adventure,Fantasy \n", "991 992 Taare Zameen Par Drama,Family,Music \n", "992 993 Take Me Home Tonight Comedy,Drama,Romance \n", "993 994 Resident Evil: Afterlife Action,Adventure,Horror \n", "994 995 Project X Comedy \n", "995 996 Secret in Their Eyes Crime,Drama,Mystery \n", "996 997 Hostel: Part II Horror \n", "997 998 Step Up 2: The Streets Drama,Music,Romance \n", "998 999 Search Party Adventure,Comedy \n", "999 1000 Nine Lives Comedy,Family,Fantasy \n", "\n", " Description Director \\\n", "990 An origins story centered on the centuries-old... Patrick Tatopoulos \n", "991 An eight-year-old boy is thought to be a lazy ... Aamir Khan \n", "992 Four years after graduation, an awkward high s... Michael Dowse \n", "993 While still out to destroy the evil Umbrella C... Paul W.S. Anderson \n", "994 3 high school seniors throw a birthday party t... Nima Nourizadeh \n", "995 A tight-knit team of rising investigators, alo... Billy Ray \n", "996 Three American college students studying abroa... Eli Roth \n", "997 Romantic sparks occur between two dance studen... Jon M. Chu \n", "998 A pair of friends embark on a mission to reuni... Scot Armstrong \n", "999 A stuffy businessman finds himself trapped ins... Barry Sonnenfeld \n", "\n", " Actors Year \\\n", "990 Rhona Mitra, Michael Sheen, Bill Nighy, Steven... 2009 \n", "991 Darsheel Safary, Aamir Khan, Tanay Chheda, Sac... 2007 \n", "992 Topher Grace, Anna Faris, Dan Fogler, Teresa P... 2011 \n", "993 Milla Jovovich, Ali Larter, Wentworth Miller,K... 2010 \n", "994 Thomas Mann, Oliver Cooper, Jonathan Daniel Br... 2012 \n", "995 Chiwetel Ejiofor, Nicole Kidman, Julia Roberts... 2015 \n", "996 Lauren German, Heather Matarazzo, Bijou Philli... 2007 \n", "997 Robert Hoffman, Briana Evigan, Cassie Ventura,... 2008 \n", "998 Adam Pally, T.J. Miller, Thomas Middleditch,Sh... 2014 \n", "999 Kevin Spacey, Jennifer Garner, Robbie Amell,Ch... 2016 \n", "\n", " Runtime (Minutes) Rating Votes Revenue (Millions) Metascore \n", "990 92 6.6 129708 45.80 44.0 \n", "991 165 8.5 102697 1.20 42.0 \n", "992 97 6.3 45419 6.92 NaN \n", "993 97 5.9 140900 60.13 37.0 \n", "994 88 6.7 164088 54.72 48.0 \n", "995 111 6.2 27585 NaN 45.0 \n", "996 94 5.5 73152 17.54 46.0 \n", "997 98 6.2 70699 58.01 50.0 \n", "998 93 5.6 4881 NaN 22.0 \n", "999 87 5.3 12435 19.64 11.0 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.tail(10)" ] }, { "cell_type": "code", "execution_count": 5, "id": "98d70b22", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:10.163621Z", "iopub.status.busy": "2021-08-07T19:03:10.162977Z", "iopub.status.idle": "2021-08-07T19:03:10.166399Z", "shell.execute_reply": "2021-08-07T19:03:10.165746Z", "shell.execute_reply.started": "2021-08-07T18:59:23.452633Z" }, "papermill": { "duration": 0.064286, "end_time": "2021-08-07T19:03:10.166543", "exception": false, "start_time": "2021-08-07T19:03:10.102257", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(1000, 12)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.shape # Shape of the Dataset" ] }, { "cell_type": "markdown", "id": "19813169", "metadata": { "papermill": { "duration": 0.054555, "end_time": "2021-08-07T19:03:10.275943", "exception": false, "start_time": "2021-08-07T19:03:10.221388", "status": "completed" }, "tags": [] }, "source": [ "- Next, I will do descriptive statistics for numerical variables.\n", "- This will help in finding distribution, Standard Deviations and min-max of numerical columns" ] }, { "cell_type": "code", "execution_count": 6, "id": "8b0f4922", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:10.396986Z", "iopub.status.busy": "2021-08-07T19:03:10.396076Z", "iopub.status.idle": "2021-08-07T19:03:10.424655Z", "shell.execute_reply": "2021-08-07T19:03:10.424096Z", "shell.execute_reply.started": "2021-08-07T18:59:23.467432Z" }, "papermill": { "duration": 0.09304, "end_time": "2021-08-07T19:03:10.424794", "exception": false, "start_time": "2021-08-07T19:03:10.331754", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>1000.000000</td>\n", " <td>1000.000000</td>\n", " <td>1000.000000</td>\n", " <td>1000.000000</td>\n", " <td>1.000000e+03</td>\n", " <td>872.000000</td>\n", " <td>936.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>500.500000</td>\n", " <td>2012.783000</td>\n", " <td>113.172000</td>\n", " <td>6.723200</td>\n", " <td>1.698083e+05</td>\n", " <td>82.956376</td>\n", " <td>58.985043</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>288.819436</td>\n", " <td>3.205962</td>\n", " <td>18.810908</td>\n", " <td>0.945429</td>\n", " <td>1.887626e+05</td>\n", " <td>103.253540</td>\n", " <td>17.194757</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>1.000000</td>\n", " <td>2006.000000</td>\n", " <td>66.000000</td>\n", " <td>1.900000</td>\n", " <td>6.100000e+01</td>\n", " <td>0.000000</td>\n", " <td>11.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>250.750000</td>\n", " <td>2010.000000</td>\n", " <td>100.000000</td>\n", " <td>6.200000</td>\n", " <td>3.630900e+04</td>\n", " <td>13.270000</td>\n", " <td>47.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>500.500000</td>\n", " <td>2014.000000</td>\n", " <td>111.000000</td>\n", " <td>6.800000</td>\n", " <td>1.107990e+05</td>\n", " <td>47.985000</td>\n", " <td>59.500000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>750.250000</td>\n", " <td>2016.000000</td>\n", " <td>123.000000</td>\n", " <td>7.400000</td>\n", " <td>2.399098e+05</td>\n", " <td>113.715000</td>\n", " <td>72.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>1000.000000</td>\n", " <td>2016.000000</td>\n", " <td>191.000000</td>\n", " <td>9.000000</td>\n", " <td>1.791916e+06</td>\n", " <td>936.630000</td>\n", " <td>100.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Year Runtime (Minutes) Rating Votes \\\n", "count 1000.000000 1000.000000 1000.000000 1000.000000 1.000000e+03 \n", "mean 500.500000 2012.783000 113.172000 6.723200 1.698083e+05 \n", "std 288.819436 3.205962 18.810908 0.945429 1.887626e+05 \n", "min 1.000000 2006.000000 66.000000 1.900000 6.100000e+01 \n", "25% 250.750000 2010.000000 100.000000 6.200000 3.630900e+04 \n", "50% 500.500000 2014.000000 111.000000 6.800000 1.107990e+05 \n", "75% 750.250000 2016.000000 123.000000 7.400000 2.399098e+05 \n", "max 1000.000000 2016.000000 191.000000 9.000000 1.791916e+06 \n", "\n", " Revenue (Millions) Metascore \n", "count 872.000000 936.000000 \n", "mean 82.956376 58.985043 \n", "std 103.253540 17.194757 \n", "min 0.000000 11.000000 \n", "25% 13.270000 47.000000 \n", "50% 47.985000 59.500000 \n", "75% 113.715000 72.000000 \n", "max 936.630000 100.000000 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.describe() # Descriptive statistics for the numerical variables in the Dataset." ] }, { "cell_type": "markdown", "id": "c37d9da3", "metadata": { "papermill": { "duration": 0.056635, "end_time": "2021-08-07T19:03:10.538115", "exception": false, "start_time": "2021-08-07T19:03:10.481480", "status": "completed" }, "tags": [] }, "source": [ "- And, Display a random 10 rows to see variations in the Data." ] }, { "cell_type": "code", "execution_count": 7, "id": "b690d440", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:10.672335Z", "iopub.status.busy": "2021-08-07T19:03:10.671682Z", "iopub.status.idle": "2021-08-07T19:03:10.676939Z", "shell.execute_reply": "2021-08-07T19:03:10.676331Z", "shell.execute_reply.started": "2021-08-07T18:59:23.514866Z" }, "papermill": { "duration": 0.082934, "end_time": "2021-08-07T19:03:10.677098", "exception": false, "start_time": "2021-08-07T19:03:10.594164", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Description</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>441</th>\n", " <td>442</td>\n", " <td>Brooklyn</td>\n", " <td>Drama,Romance</td>\n", " <td>An Irish immigrant lands in 1950s Brooklyn, wh...</td>\n", " <td>John Crowley</td>\n", " <td>Saoirse Ronan, Emory Cohen, Domhnall Gleeson,J...</td>\n", " <td>2015</td>\n", " <td>117</td>\n", " <td>7.5</td>\n", " <td>94977</td>\n", " <td>38.32</td>\n", " <td>87.0</td>\n", " </tr>\n", " <tr>\n", " <th>166</th>\n", " <td>167</td>\n", " <td>Now You See Me 2</td>\n", " <td>Action,Adventure,Comedy</td>\n", " <td>The Four Horsemen resurface and are forcibly r...</td>\n", " <td>Jon M. Chu</td>\n", " <td>Jesse Eisenberg, Mark Ruffalo, Woody Harrelson...</td>\n", " <td>2016</td>\n", " <td>129</td>\n", " <td>6.5</td>\n", " <td>156567</td>\n", " <td>65.03</td>\n", " <td>46.0</td>\n", " </tr>\n", " <tr>\n", " <th>863</th>\n", " <td>864</td>\n", " <td>Locke</td>\n", " <td>Drama</td>\n", " <td>Ivan Locke, a dedicated family man and success...</td>\n", " <td>Steven Knight</td>\n", " <td>Tom Hardy, Olivia Colman, Ruth Wilson, Andrew ...</td>\n", " <td>2013</td>\n", " <td>85</td>\n", " <td>7.1</td>\n", " <td>100890</td>\n", " <td>1.36</td>\n", " <td>81.0</td>\n", " </tr>\n", " <tr>\n", " <th>405</th>\n", " <td>406</td>\n", " <td>The Invitation</td>\n", " <td>Drama,Mystery,Thriller</td>\n", " <td>While attending a dinner party at his former h...</td>\n", " <td>Karyn Kusama</td>\n", " <td>Logan Marshall-Green, Emayatzy Corinealdi, Mic...</td>\n", " <td>2015</td>\n", " <td>100</td>\n", " <td>6.7</td>\n", " <td>40529</td>\n", " <td>0.23</td>\n", " <td>74.0</td>\n", " </tr>\n", " <tr>\n", " <th>902</th>\n", " <td>903</td>\n", " <td>What If</td>\n", " <td>Comedy,Romance</td>\n", " <td>Wallace, who is burned out from a string of fa...</td>\n", " <td>Michael Dowse</td>\n", " <td>Daniel Radcliffe, Zoe Kazan, Megan Park, Adam ...</td>\n", " <td>2013</td>\n", " <td>98</td>\n", " <td>6.8</td>\n", " <td>55243</td>\n", " <td>3.45</td>\n", " <td>59.0</td>\n", " </tr>\n", " <tr>\n", " <th>680</th>\n", " <td>681</td>\n", " <td>The Hunger Games: Mockingjay - Part 1</td>\n", " <td>Action,Adventure,Sci-Fi</td>\n", " <td>Katniss Everdeen is in District 13 after she s...</td>\n", " <td>Francis Lawrence</td>\n", " <td>Jennifer Lawrence, Josh Hutcherson, Liam Hemsw...</td>\n", " <td>2014</td>\n", " <td>123</td>\n", " <td>6.7</td>\n", " <td>331902</td>\n", " <td>337.10</td>\n", " <td>64.0</td>\n", " </tr>\n", " <tr>\n", " <th>968</th>\n", " <td>969</td>\n", " <td>Wrecker</td>\n", " <td>Action,Horror,Thriller</td>\n", " <td>Best friends Emily and Lesley go on a road tri...</td>\n", " <td>Micheal Bafaro</td>\n", " <td>Anna Hutchison, Andrea Whitburn, Jennifer Koen...</td>\n", " <td>2015</td>\n", " <td>83</td>\n", " <td>3.5</td>\n", " <td>1210</td>\n", " <td>NaN</td>\n", " <td>37.0</td>\n", " </tr>\n", " <tr>\n", " <th>548</th>\n", " <td>549</td>\n", " <td>Chuck</td>\n", " <td>Biography,Drama,Sport</td>\n", " <td>A drama inspired by the life of heavyweight bo...</td>\n", " <td>Philippe Falardeau</td>\n", " <td>Elisabeth Moss, Naomi Watts, Ron Perlman, Liev...</td>\n", " <td>2016</td>\n", " <td>98</td>\n", " <td>6.8</td>\n", " <td>391</td>\n", " <td>0.11</td>\n", " <td>68.0</td>\n", " </tr>\n", " <tr>\n", " <th>936</th>\n", " <td>937</td>\n", " <td>The Human Centipede (First Sequence)</td>\n", " <td>Horror</td>\n", " <td>A mad scientist kidnaps and mutilates a trio o...</td>\n", " <td>Tom Six</td>\n", " <td>Dieter Laser, Ashley C. Williams, Ashlynn Yenn...</td>\n", " <td>2009</td>\n", " <td>92</td>\n", " <td>4.4</td>\n", " <td>60655</td>\n", " <td>0.18</td>\n", " <td>33.0</td>\n", " </tr>\n", " <tr>\n", " <th>999</th>\n", " <td>1000</td>\n", " <td>Nine Lives</td>\n", " <td>Comedy,Family,Fantasy</td>\n", " <td>A stuffy businessman finds himself trapped ins...</td>\n", " <td>Barry Sonnenfeld</td>\n", " <td>Kevin Spacey, Jennifer Garner, Robbie Amell,Ch...</td>\n", " <td>2016</td>\n", " <td>87</td>\n", " <td>5.3</td>\n", " <td>12435</td>\n", " <td>19.64</td>\n", " <td>11.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "441 442 Brooklyn Drama,Romance \n", "166 167 Now You See Me 2 Action,Adventure,Comedy \n", "863 864 Locke Drama \n", "405 406 The Invitation Drama,Mystery,Thriller \n", "902 903 What If Comedy,Romance \n", "680 681 The Hunger Games: Mockingjay - Part 1 Action,Adventure,Sci-Fi \n", "968 969 Wrecker Action,Horror,Thriller \n", "548 549 Chuck Biography,Drama,Sport \n", "936 937 The Human Centipede (First Sequence) Horror \n", "999 1000 Nine Lives Comedy,Family,Fantasy \n", "\n", " Description Director \\\n", "441 An Irish immigrant lands in 1950s Brooklyn, wh... John Crowley \n", "166 The Four Horsemen resurface and are forcibly r... Jon M. Chu \n", "863 Ivan Locke, a dedicated family man and success... Steven Knight \n", "405 While attending a dinner party at his former h... Karyn Kusama \n", "902 Wallace, who is burned out from a string of fa... Michael Dowse \n", "680 Katniss Everdeen is in District 13 after she s... Francis Lawrence \n", "968 Best friends Emily and Lesley go on a road tri... Micheal Bafaro \n", "548 A drama inspired by the life of heavyweight bo... Philippe Falardeau \n", "936 A mad scientist kidnaps and mutilates a trio o... Tom Six \n", "999 A stuffy businessman finds himself trapped ins... Barry Sonnenfeld \n", "\n", " Actors Year \\\n", "441 Saoirse Ronan, Emory Cohen, Domhnall Gleeson,J... 2015 \n", "166 Jesse Eisenberg, Mark Ruffalo, Woody Harrelson... 2016 \n", "863 Tom Hardy, Olivia Colman, Ruth Wilson, Andrew ... 2013 \n", "405 Logan Marshall-Green, Emayatzy Corinealdi, Mic... 2015 \n", "902 Daniel Radcliffe, Zoe Kazan, Megan Park, Adam ... 2013 \n", "680 Jennifer Lawrence, Josh Hutcherson, Liam Hemsw... 2014 \n", "968 Anna Hutchison, Andrea Whitburn, Jennifer Koen... 2015 \n", "548 Elisabeth Moss, Naomi Watts, Ron Perlman, Liev... 2016 \n", "936 Dieter Laser, Ashley C. Williams, Ashlynn Yenn... 2009 \n", "999 Kevin Spacey, Jennifer Garner, Robbie Amell,Ch... 2016 \n", "\n", " Runtime (Minutes) Rating Votes Revenue (Millions) Metascore \n", "441 117 7.5 94977 38.32 87.0 \n", "166 129 6.5 156567 65.03 46.0 \n", "863 85 7.1 100890 1.36 81.0 \n", "405 100 6.7 40529 0.23 74.0 \n", "902 98 6.8 55243 3.45 59.0 \n", "680 123 6.7 331902 337.10 64.0 \n", "968 83 3.5 1210 NaN 37.0 \n", "548 98 6.8 391 0.11 68.0 \n", "936 92 4.4 60655 0.18 33.0 \n", "999 87 5.3 12435 19.64 11.0 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.sample(10) # Displays a random 10 rows from the dataset." ] }, { "cell_type": "markdown", "id": "9da49868", "metadata": { "papermill": { "duration": 0.055729, "end_time": "2021-08-07T19:03:10.790624", "exception": false, "start_time": "2021-08-07T19:03:10.734895", "status": "completed" }, "tags": [] }, "source": [ "- Inorder to handle the data better, finding the Data Types and Null Values. " ] }, { "cell_type": "code", "execution_count": 8, "id": "f6bae317", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:10.923150Z", "iopub.status.busy": "2021-08-07T19:03:10.917220Z", "iopub.status.idle": "2021-08-07T19:03:10.927814Z", "shell.execute_reply": "2021-08-07T19:03:10.927314Z", "shell.execute_reply.started": "2021-08-07T18:59:23.545772Z" }, "papermill": { "duration": 0.08156, "end_time": "2021-08-07T19:03:10.927957", "exception": false, "start_time": "2021-08-07T19:03:10.846397", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 1000 entries, 0 to 999\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Rank 1000 non-null int64 \n", " 1 Title 1000 non-null object \n", " 2 Genre 1000 non-null object \n", " 3 Description 1000 non-null object \n", " 4 Director 1000 non-null object \n", " 5 Actors 1000 non-null object \n", " 6 Year 1000 non-null int64 \n", " 7 Runtime (Minutes) 1000 non-null int64 \n", " 8 Rating 1000 non-null float64\n", " 9 Votes 1000 non-null int64 \n", " 10 Revenue (Millions) 872 non-null float64\n", " 11 Metascore 936 non-null float64\n", "dtypes: float64(3), int64(4), object(5)\n", "memory usage: 93.9+ KB\n" ] } ], "source": [ "md.info() # Displays Data_Types and Null_Values in the Dataset." ] }, { "cell_type": "markdown", "id": "1623874d", "metadata": { "papermill": { "duration": 0.056936, "end_time": "2021-08-07T19:03:11.041616", "exception": false, "start_time": "2021-08-07T19:03:10.984680", "status": "completed" }, "tags": [] }, "source": [ "### Observations from Data Profiling:\n", "\n", "- Each Column details and Shape of the dataset are understood.\n", "- With Descriptive statistics, Statistical information of dataset is observed.\n", "- A random gist of the dataset to find abnormalities was also done.\n", "- Info() revealed the Data Types and Missing Values.\n", "\n", "Now, I have inputs for starting off with pre-profiling." ] }, { "cell_type": "markdown", "id": "3535caff", "metadata": { "papermill": { "duration": 0.060351, "end_time": "2021-08-07T19:03:11.160472", "exception": false, "start_time": "2021-08-07T19:03:11.100121", "status": "completed" }, "tags": [] }, "source": [ "<a id=section302></a>\n", "### 3.2 Pre profiling:\n", "\n", "- With pandas profiling, an __interactive HTML report__ gets generated, which gives breif description about the columns of the dataset like the __counts, Histograms and Correlations__. Detailed information about __each column__, __coorelation between different columns__ and a __sample__ of dataset.<br/>\n", "- It also gives __visual interpretation__ of each column in the data.\n", "- Spread of the data is better understood by the distribution plot. \n", "- Grannular level analysis of each column." ] }, { "cell_type": "code", "execution_count": 9, "id": "6065745d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:11.287060Z", "iopub.status.busy": "2021-08-07T19:03:11.286400Z", "iopub.status.idle": "2021-08-07T19:03:34.182399Z", "shell.execute_reply": "2021-08-07T19:03:34.182851Z", "shell.execute_reply.started": "2021-08-07T18:59:23.573352Z" }, "papermill": { "duration": 22.963845, "end_time": "2021-08-07T19:03:34.183025", "exception": false, "start_time": "2021-08-07T19:03:11.219180", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "db1ed2f85041491da7382de67511772a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Summarize dataset: 0%\| \| 0/25 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d1df91f891804fb9acf7f7ab676f82f5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Generate report structure: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fd4a854b3a7f44908928d96b2b83e417", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Render HTML: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2f1c364da4104b9b8c624ffb60b7655c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Export report to file: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas_profiling # Get a quick overview for all the variables using pandas_profiling. \n", "profile = pandas_profiling.ProfileReport(md)\n", "profile.to_file(\"1000movies_before_preprocessing.html\") # HTML file will be downloaded to local workspace." ] }, { "cell_type": "markdown", "id": "5c3aa468", "metadata": { "papermill": { "duration": 0.057569, "end_time": "2021-08-07T19:03:34.299379", "exception": false, "start_time": "2021-08-07T19:03:34.241810", "status": "completed" }, "tags": [] }, "source": [ "Here, I have done Pandas Profiling before preprocessing our dataset, so I have named the html file as __1000movies_before_preprocessing.htm__. Looking at the file will help developing useful insights from the dataset. <br/>\n", "\n", "Now, I will process the data for better understanding." ] }, { "cell_type": "markdown", "id": "a5141bdb", "metadata": { "papermill": { "duration": 0.057127, "end_time": "2021-08-07T19:03:34.413984", "exception": false, "start_time": "2021-08-07T19:03:34.356857", "status": "completed" }, "tags": [] }, "source": [ "<a id=section303></a>\n", "### 3.3 Pre processing:\n", "- Dealing with missing Values.\n", "- Dealing with zeros.\n", "- Splitting column data for more insights.\n", "- Dropping the coulumn unsoughtful for data insights." ] }, { "cell_type": "markdown", "id": "d4d08492", "metadata": { "papermill": { "duration": 0.05724, "end_time": "2021-08-07T19:03:34.528611", "exception": false, "start_time": "2021-08-07T19:03:34.471371", "status": "completed" }, "tags": [] }, "source": [ "#### 3.3.1 Dealing with missing Values:" ] }, { "cell_type": "code", "execution_count": 10, "id": "d10b901a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:34.650413Z", "iopub.status.busy": "2021-08-07T19:03:34.649361Z", "iopub.status.idle": "2021-08-07T19:03:34.654222Z", "shell.execute_reply": "2021-08-07T19:03:34.653609Z", "shell.execute_reply.started": "2021-08-07T18:59:50.179740Z" }, "papermill": { "duration": 0.068166, "end_time": "2021-08-07T19:03:34.654392", "exception": false, "start_time": "2021-08-07T19:03:34.586226", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "82.95637614678897" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Revenue (Millions)'].mean() # Mean of the column Revenue_(Millions). " ] }, { "cell_type": "code", "execution_count": 11, "id": "c47ba2ae", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:34.778407Z", "iopub.status.busy": "2021-08-07T19:03:34.777519Z", "iopub.status.idle": "2021-08-07T19:03:34.782130Z", "shell.execute_reply": "2021-08-07T19:03:34.781670Z", "shell.execute_reply.started": "2021-08-07T18:59:50.186861Z" }, "papermill": { "duration": 0.067648, "end_time": "2021-08-07T19:03:34.782267", "exception": false, "start_time": "2021-08-07T19:03:34.714619", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "47.985" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Revenue (Millions)'].median() # Median of the column Revenue_(Millions). " ] }, { "cell_type": "markdown", "id": "fb5fbd1d", "metadata": { "papermill": { "duration": 0.057444, "end_time": "2021-08-07T19:03:34.897940", "exception": false, "start_time": "2021-08-07T19:03:34.840496", "status": "completed" }, "tags": [] }, "source": [ "Here, Mean of __Revenue__ is choosen as it matches more with the values of the Column." ] }, { "cell_type": "code", "execution_count": 12, "id": "c8c42c94", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:35.020330Z", "iopub.status.busy": "2021-08-07T19:03:35.019701Z", "iopub.status.idle": "2021-08-07T19:03:35.023149Z", "shell.execute_reply": "2021-08-07T19:03:35.022646Z", "shell.execute_reply.started": "2021-08-07T18:59:50.205810Z" }, "papermill": { "duration": 0.067485, "end_time": "2021-08-07T19:03:35.023278", "exception": false, "start_time": "2021-08-07T19:03:34.955793", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Revenue (Millions)']= md['Revenue (Millions)'].replace(np.NaN , md['Revenue (Millions)'].mean())\n", "\n", "md['Revenue (Millions)'].isnull().sum() #Replaced missing values of column Revenue_(Millions) with Mean and checking if any null values persists." ] }, { "cell_type": "markdown", "id": "8e6e012e", "metadata": { "papermill": { "duration": 0.059176, "end_time": "2021-08-07T19:03:35.141449", "exception": false, "start_time": "2021-08-07T19:03:35.082273", "status": "completed" }, "tags": [] }, "source": [ "#### 3.3.2 Dealing with zeros:\n", "\n" ] }, { "cell_type": "markdown", "id": "6f4343c4", "metadata": { "papermill": { "duration": 0.058067, "end_time": "2021-08-07T19:03:35.258517", "exception": false, "start_time": "2021-08-07T19:03:35.200450", "status": "completed" }, "tags": [] }, "source": [ "It is observed that __Revenue Column__ comprises of zero values, which cannot happen in real life. Hence, replacing zero values with means." ] }, { "cell_type": "code", "execution_count": 13, "id": "bcbd227a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:35.384613Z", "iopub.status.busy": "2021-08-07T19:03:35.383858Z", "iopub.status.idle": "2021-08-07T19:03:35.393828Z", "shell.execute_reply": "2021-08-07T19:03:35.393372Z", "shell.execute_reply.started": "2021-08-07T18:59:50.220021Z" }, "papermill": { "duration": 0.077407, "end_time": "2021-08-07T19:03:35.393966", "exception": false, "start_time": "2021-08-07T19:03:35.316559", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "551 552.0\n", "192 193.0\n", "558 559.0\n", "322 323.0\n", "349 350.0\n", "863 864.0\n", "793 794.0\n", "889 890.0\n", "701 702.0\n", "359 360.0\n", "243 244.0\n", "574 575.0\n", "810 811.0\n", "381 382.0\n", "194 195.0\n", "Name: Revenue (Millions), dtype: object" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Revenue (Millions)']= md.mask(md['Revenue (Millions)']==0.0, md['Revenue (Millions)'].mean())\n", "md['Revenue (Millions)'].sample(15)\n", "#Replaced 0.0 values of column Revenue_(Millions) with Mean and sample(15) display." ] }, { "cell_type": "code", "execution_count": 14, "id": "8f44f0b2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:35.516236Z", "iopub.status.busy": "2021-08-07T19:03:35.515606Z", "iopub.status.idle": "2021-08-07T19:03:35.518852Z", "shell.execute_reply": "2021-08-07T19:03:35.519313Z", "shell.execute_reply.started": "2021-08-07T18:59:50.245071Z" }, "papermill": { "duration": 0.06705, "end_time": "2021-08-07T19:03:35.519482", "exception": false, "start_time": "2021-08-07T19:03:35.452432", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "58.98504273504273" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Metascore'].mean() # Mean of the column Metascore. " ] }, { "cell_type": "code", "execution_count": 15, "id": "d894a2f0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:35.640737Z", "iopub.status.busy": "2021-08-07T19:03:35.640079Z", "iopub.status.idle": "2021-08-07T19:03:35.647936Z", "shell.execute_reply": "2021-08-07T19:03:35.648444Z", "shell.execute_reply.started": "2021-08-07T18:59:50.255826Z" }, "papermill": { "duration": 0.070637, "end_time": "2021-08-07T19:03:35.648618", "exception": false, "start_time": "2021-08-07T19:03:35.577981", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "59.5" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Metascore'].median() # Median of the column Metascore. " ] }, { "cell_type": "code", "execution_count": 16, "id": "aecebcc4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:35.777426Z", "iopub.status.busy": "2021-08-07T19:03:35.776511Z", "iopub.status.idle": "2021-08-07T19:03:35.780595Z", "shell.execute_reply": "2021-08-07T19:03:35.781264Z", "shell.execute_reply.started": "2021-08-07T18:59:50.267998Z" }, "papermill": { "duration": 0.072476, "end_time": "2021-08-07T19:03:35.781461", "exception": false, "start_time": "2021-08-07T19:03:35.708985", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "985 31.000000\n", "986 50.000000\n", "987 30.000000\n", "988 89.000000\n", "989 58.985043\n", "990 44.000000\n", "991 42.000000\n", "992 58.985043\n", "993 37.000000\n", "994 48.000000\n", "995 45.000000\n", "996 46.000000\n", "997 50.000000\n", "998 22.000000\n", "999 11.000000\n", "Name: Metascore, dtype: float64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Metascore']= md['Metascore'].replace(np.NaN , md['Metascore'].mean()) \n", "md['Metascore'].tail(15) # Replaced missing values of column Metascore with Mean and head(15) display." ] }, { "cell_type": "markdown", "id": "832c30d1", "metadata": { "papermill": { "duration": 0.059727, "end_time": "2021-08-07T19:03:35.901497", "exception": false, "start_time": "2021-08-07T19:03:35.841770", "status": "completed" }, "tags": [] }, "source": [ "#### 3.3.3 Splitting Genre column for more insights:" ] }, { "cell_type": "markdown", "id": "0665775f", "metadata": { "papermill": { "duration": 0.059031, "end_time": "2021-08-07T19:03:36.022395", "exception": false, "start_time": "2021-08-07T19:03:35.963364", "status": "completed" }, "tags": [] }, "source": [ "- The __Genre__ Column consists of various genres combined for each movie. If we split up the genres, more insights can be drawn with regards to each movie. Hence, Genres will be analyzed combinedly as well as by spliting." ] }, { "cell_type": "code", "execution_count": 17, "id": "6b4e6174", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:36.152743Z", "iopub.status.busy": "2021-08-07T19:03:36.151766Z", "iopub.status.idle": "2021-08-07T19:03:36.154588Z", "shell.execute_reply": "2021-08-07T19:03:36.154991Z", "shell.execute_reply.started": "2021-08-07T18:59:50.283725Z" }, "papermill": { "duration": 0.073003, "end_time": "2021-08-07T19:03:36.155165", "exception": false, "start_time": "2021-08-07T19:03:36.082162", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from pandas import DataFrame #Splitting the column 'Genre' into 3 columns\n", "df=pd.DataFrame(md)\n", "GenSplt=md['Genre'].str.split(\",\", n=-1, expand = True)\n", "GenSplt.columns = ['G1','G2','G3'] #Giving names to the columns\n", "#GenSplt\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "fffe9b6e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:36.296417Z", "iopub.status.busy": "2021-08-07T19:03:36.295780Z", "iopub.status.idle": "2021-08-07T19:03:36.299319Z", "shell.execute_reply": "2021-08-07T19:03:36.299793Z", "shell.execute_reply.started": "2021-08-07T18:59:50.295257Z" }, "papermill": { "duration": 0.084614, "end_time": "2021-08-07T19:03:36.299954", "exception": false, "start_time": "2021-08-07T19:03:36.215340", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Description</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>Guardians of the Galaxy</td>\n", " <td>Action,Adventure,Sci-Fi</td>\n", " <td>A group of intergalactic criminals are forced ...</td>\n", " <td>James Gunn</td>\n", " <td>Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S...</td>\n", " <td>2014</td>\n", " <td>121</td>\n", " <td>8.1</td>\n", " <td>757074</td>\n", " <td>1.0</td>\n", " <td>76.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>Prometheus</td>\n", " <td>Adventure,Mystery,Sci-Fi</td>\n", " <td>Following clues to the origin of mankind, a te...</td>\n", " <td>Ridley Scott</td>\n", " <td>Noomi Rapace, Logan Marshall-Green, Michael Fa...</td>\n", " <td>2012</td>\n", " <td>124</td>\n", " <td>7.0</td>\n", " <td>485820</td>\n", " <td>2.0</td>\n", " <td>65.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>Split</td>\n", " <td>Horror,Thriller</td>\n", " <td>Three girls are kidnapped by a man with a diag...</td>\n", " <td>M. Night Shyamalan</td>\n", " <td>James McAvoy, Anya Taylor-Joy, Haley Lu Richar...</td>\n", " <td>2016</td>\n", " <td>117</td>\n", " <td>7.3</td>\n", " <td>157606</td>\n", " <td>3.0</td>\n", " <td>62.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>Sing</td>\n", " <td>Animation,Comedy,Family</td>\n", " <td>In a city of humanoid animals, a hustling thea...</td>\n", " <td>Christophe Lourdelet</td>\n", " <td>Matthew McConaughey,Reese Witherspoon, Seth Ma...</td>\n", " <td>2016</td>\n", " <td>108</td>\n", " <td>7.2</td>\n", " <td>60545</td>\n", " <td>4.0</td>\n", " <td>59.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>Suicide Squad</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>A secret government agency recruits some of th...</td>\n", " <td>David Ayer</td>\n", " <td>Will Smith, Jared Leto, Margot Robbie, Viola D...</td>\n", " <td>2016</td>\n", " <td>123</td>\n", " <td>6.2</td>\n", " <td>393727</td>\n", " <td>5.0</td>\n", " <td>40.0</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>6</td>\n", " <td>The Great Wall</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>European mercenaries searching for black powde...</td>\n", " <td>Yimou Zhang</td>\n", " <td>Matt Damon, Tian Jing, Willem Dafoe, Andy Lau</td>\n", " <td>2016</td>\n", " <td>103</td>\n", " <td>6.1</td>\n", " <td>56036</td>\n", " <td>6.0</td>\n", " <td>42.0</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>7</td>\n", " <td>La La Land</td>\n", " <td>Comedy,Drama,Music</td>\n", " <td>A jazz pianist falls for an aspiring actress i...</td>\n", " <td>Damien Chazelle</td>\n", " <td>Ryan Gosling, Emma Stone, Rosemarie DeWitt, J....</td>\n", " <td>2016</td>\n", " <td>128</td>\n", " <td>8.3</td>\n", " <td>258682</td>\n", " <td>7.0</td>\n", " <td>93.0</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>8</td>\n", " <td>Mindhorn</td>\n", " <td>Comedy</td>\n", " <td>A has-been actor best known for playing the ti...</td>\n", " <td>Sean Foley</td>\n", " <td>Essie Davis, Andrea Riseborough, Julian Barrat...</td>\n", " <td>2016</td>\n", " <td>89</td>\n", " <td>6.4</td>\n", " <td>2490</td>\n", " <td>8.0</td>\n", " <td>71.0</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>9</td>\n", " <td>The Lost City of Z</td>\n", " <td>Action,Adventure,Biography</td>\n", " <td>A true-life drama, centering on British explor...</td>\n", " <td>James Gray</td>\n", " <td>Charlie Hunnam, Robert Pattinson, Sienna Mille...</td>\n", " <td>2016</td>\n", " <td>141</td>\n", " <td>7.1</td>\n", " <td>7188</td>\n", " <td>9.0</td>\n", " <td>78.0</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>10</td>\n", " <td>Passengers</td>\n", " <td>Adventure,Drama,Romance</td>\n", " <td>A spacecraft traveling to a distant colony pla...</td>\n", " <td>Morten Tyldum</td>\n", " <td>Jennifer Lawrence, Chris Pratt, Michael Sheen,...</td>\n", " <td>2016</td>\n", " <td>116</td>\n", " <td>7.0</td>\n", " <td>192177</td>\n", " <td>10.0</td>\n", " <td>41.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "0 1 Guardians of the Galaxy Action,Adventure,Sci-Fi \n", "1 2 Prometheus Adventure,Mystery,Sci-Fi \n", "2 3 Split Horror,Thriller \n", "3 4 Sing Animation,Comedy,Family \n", "4 5 Suicide Squad Action,Adventure,Fantasy \n", "5 6 The Great Wall Action,Adventure,Fantasy \n", "6 7 La La Land Comedy,Drama,Music \n", "7 8 Mindhorn Comedy \n", "8 9 The Lost City of Z Action,Adventure,Biography \n", "9 10 Passengers Adventure,Drama,Romance \n", "\n", " Description Director \\\n", "0 A group of intergalactic criminals are forced ... James Gunn \n", "1 Following clues to the origin of mankind, a te... Ridley Scott \n", "2 Three girls are kidnapped by a man with a diag... M. Night Shyamalan \n", "3 In a city of humanoid animals, a hustling thea... Christophe Lourdelet \n", "4 A secret government agency recruits some of th... David Ayer \n", "5 European mercenaries searching for black powde... Yimou Zhang \n", "6 A jazz pianist falls for an aspiring actress i... Damien Chazelle \n", "7 A has-been actor best known for playing the ti... Sean Foley \n", "8 A true-life drama, centering on British explor... James Gray \n", "9 A spacecraft traveling to a distant colony pla... Morten Tyldum \n", "\n", " Actors Year Runtime (Minutes) \\\n", "0 Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S... 2014 121 \n", "1 Noomi Rapace, Logan Marshall-Green, Michael Fa... 2012 124 \n", "2 James McAvoy, Anya Taylor-Joy, Haley Lu Richar... 2016 117 \n", "3 Matthew McConaughey,Reese Witherspoon, Seth Ma... 2016 108 \n", "4 Will Smith, Jared Leto, Margot Robbie, Viola D... 2016 123 \n", "5 Matt Damon, Tian Jing, Willem Dafoe, Andy Lau 2016 103 \n", "6 Ryan Gosling, Emma Stone, Rosemarie DeWitt, J.... 2016 128 \n", "7 Essie Davis, Andrea Riseborough, Julian Barrat... 2016 89 \n", "8 Charlie Hunnam, Robert Pattinson, Sienna Mille... 2016 141 \n", "9 Jennifer Lawrence, Chris Pratt, Michael Sheen,... 2016 116 \n", "\n", " Rating Votes Revenue (Millions) Metascore \n", "0 8.1 757074 1.0 76.0 \n", "1 7.0 485820 2.0 65.0 \n", "2 7.3 157606 3.0 62.0 \n", "3 7.2 60545 4.0 59.0 \n", "4 6.2 393727 5.0 40.0 \n", "5 6.1 56036 6.0 42.0 \n", "6 8.3 258682 7.0 93.0 \n", "7 6.4 2490 8.0 71.0 \n", "8 7.1 7188 9.0 78.0 \n", "9 7.0 192177 10.0 41.0 " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "GenSplt.columns = ['G1','G2','G3']\n", "GenOne= GenSplt['G1'].append(GenSplt['G2']) #Appending all the 3 columns to single column\n", "GenOne= GenOne.append(GenSplt['G3'])\n", "GenOne= GenOne.dropna(axis = 0, how ='any') #Dropping NaN Values\n", "df2=pd.DataFrame(GenOne) #Making the splitted&appended column to DataFrame\n", "df2.columns=['G']\n", "#df2\n", "md.head(10)" ] }, { "cell_type": "markdown", "id": "3e53eb0d", "metadata": { "papermill": { "duration": 0.060379, "end_time": "2021-08-07T19:03:36.420104", "exception": false, "start_time": "2021-08-07T19:03:36.359725", "status": "completed" }, "tags": [] }, "source": [ "#### 3.3.4 Splitting Actors column for more insights:" ] }, { "cell_type": "code", "execution_count": 19, "id": "6875fdeb", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:36.550866Z", "iopub.status.busy": "2021-08-07T19:03:36.550077Z", "iopub.status.idle": "2021-08-07T19:03:36.553069Z", "shell.execute_reply": "2021-08-07T19:03:36.552488Z", "shell.execute_reply.started": "2021-08-07T18:59:50.331911Z" }, "papermill": { "duration": 0.072573, "end_time": "2021-08-07T19:03:36.553210", "exception": false, "start_time": "2021-08-07T19:03:36.480637", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from pandas import DataFrame #Splitting the column 'Actors' into 4 columns\n", "df=pd.DataFrame(md)\n", "ActSplt=md['Actors'].str.split(\",\", n=-1, expand = True)\n", "ActSplt.columns = ['A1','A2','A3','A4'] #Giving names to the columns\n", "#GenSplt\n", "\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "a162adbc", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:36.699627Z", "iopub.status.busy": "2021-08-07T19:03:36.698747Z", "iopub.status.idle": "2021-08-07T19:03:36.701928Z", "shell.execute_reply": "2021-08-07T19:03:36.701413Z", "shell.execute_reply.started": "2021-08-07T18:59:50.345783Z" }, "papermill": { "duration": 0.08884, "end_time": "2021-08-07T19:03:36.702066", "exception": false, "start_time": "2021-08-07T19:03:36.613226", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "\n", "ActOne= ActSplt['A1'].append(ActSplt['A2']) #Appending all the 4 columns to single column\n", "ActOne= ActOne.append(ActSplt['A3'])\n", "ActOne= ActOne.append(ActSplt['A3'])\n", "ActOne= ActOne.dropna(axis = 0, how ='any') #Dropping NaN Values\n", "df10=pd.DataFrame(ActOne) #Making the splitted&appended column to DataFrame\n", "df10.columns=['A']\n", "#df10" ] }, { "cell_type": "markdown", "id": "042d79de", "metadata": { "papermill": { "duration": 0.061158, "end_time": "2021-08-07T19:03:36.826277", "exception": false, "start_time": "2021-08-07T19:03:36.765119", "status": "completed" }, "tags": [] }, "source": [ "#### 3.3.5 Dropping the column unsoughtful for data insights." ] }, { "cell_type": "markdown", "id": "1d549079", "metadata": { "papermill": { "duration": 0.078018, "end_time": "2021-08-07T19:03:36.967504", "exception": false, "start_time": "2021-08-07T19:03:36.889486", "status": "completed" }, "tags": [] }, "source": [ "- Description of the Movies is very less importance for the current analysis. Hence, dropping of the __Description__ column." ] }, { "cell_type": "code", "execution_count": 21, "id": "bddcd7d0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:37.105988Z", "iopub.status.busy": "2021-08-07T19:03:37.105046Z", "iopub.status.idle": "2021-08-07T19:03:37.129025Z", "shell.execute_reply": "2021-08-07T19:03:37.129574Z", "shell.execute_reply.started": "2021-08-07T18:59:50.362484Z" }, "papermill": { "duration": 0.08817, "end_time": "2021-08-07T19:03:37.129756", "exception": false, "start_time": "2021-08-07T19:03:37.041586", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>Guardians of the Galaxy</td>\n", " <td>Action,Adventure,Sci-Fi</td>\n", " <td>James Gunn</td>\n", " <td>Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S...</td>\n", " <td>2014</td>\n", " <td>121</td>\n", " <td>8.1</td>\n", " <td>757074</td>\n", " <td>1.0</td>\n", " <td>76.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>Prometheus</td>\n", " <td>Adventure,Mystery,Sci-Fi</td>\n", " <td>Ridley Scott</td>\n", " <td>Noomi Rapace, Logan Marshall-Green, Michael Fa...</td>\n", " <td>2012</td>\n", " <td>124</td>\n", " <td>7.0</td>\n", " <td>485820</td>\n", " <td>2.0</td>\n", " <td>65.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>Split</td>\n", " <td>Horror,Thriller</td>\n", " <td>M. Night Shyamalan</td>\n", " <td>James McAvoy, Anya Taylor-Joy, Haley Lu Richar...</td>\n", " <td>2016</td>\n", " <td>117</td>\n", " <td>7.3</td>\n", " <td>157606</td>\n", " <td>3.0</td>\n", " <td>62.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>Sing</td>\n", " <td>Animation,Comedy,Family</td>\n", " <td>Christophe Lourdelet</td>\n", " <td>Matthew McConaughey,Reese Witherspoon, Seth Ma...</td>\n", " <td>2016</td>\n", " <td>108</td>\n", " <td>7.2</td>\n", " <td>60545</td>\n", " <td>4.0</td>\n", " <td>59.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>Suicide Squad</td>\n", " <td>Action,Adventure,Fantasy</td>\n", " <td>David Ayer</td>\n", " <td>Will Smith, Jared Leto, Margot Robbie, Viola D...</td>\n", " <td>2016</td>\n", " <td>123</td>\n", " <td>6.2</td>\n", " <td>393727</td>\n", " <td>5.0</td>\n", " <td>40.0</td>\n", " </tr>\n", " <tr>\n", " <th>...</th>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " </tr>\n", " <tr>\n", " <th>995</th>\n", " <td>996</td>\n", " <td>Secret in Their Eyes</td>\n", " <td>Crime,Drama,Mystery</td>\n", " <td>Billy Ray</td>\n", " <td>Chiwetel Ejiofor, Nicole Kidman, Julia Roberts...</td>\n", " <td>2015</td>\n", " <td>111</td>\n", " <td>6.2</td>\n", " <td>27585</td>\n", " <td>996.0</td>\n", " <td>45.0</td>\n", " </tr>\n", " <tr>\n", " <th>996</th>\n", " <td>997</td>\n", " <td>Hostel: Part II</td>\n", " <td>Horror</td>\n", " <td>Eli Roth</td>\n", " <td>Lauren German, Heather Matarazzo, Bijou Philli...</td>\n", " <td>2007</td>\n", " <td>94</td>\n", " <td>5.5</td>\n", " <td>73152</td>\n", " <td>997.0</td>\n", " <td>46.0</td>\n", " </tr>\n", " <tr>\n", " <th>997</th>\n", " <td>998</td>\n", " <td>Step Up 2: The Streets</td>\n", " <td>Drama,Music,Romance</td>\n", " <td>Jon M. Chu</td>\n", " <td>Robert Hoffman, Briana Evigan, Cassie Ventura,...</td>\n", " <td>2008</td>\n", " <td>98</td>\n", " <td>6.2</td>\n", " <td>70699</td>\n", " <td>998.0</td>\n", " <td>50.0</td>\n", " </tr>\n", " <tr>\n", " <th>998</th>\n", " <td>999</td>\n", " <td>Search Party</td>\n", " <td>Adventure,Comedy</td>\n", " <td>Scot Armstrong</td>\n", " <td>Adam Pally, T.J. Miller, Thomas Middleditch,Sh...</td>\n", " <td>2014</td>\n", " <td>93</td>\n", " <td>5.6</td>\n", " <td>4881</td>\n", " <td>999.0</td>\n", " <td>22.0</td>\n", " </tr>\n", " <tr>\n", " <th>999</th>\n", " <td>1000</td>\n", " <td>Nine Lives</td>\n", " <td>Comedy,Family,Fantasy</td>\n", " <td>Barry Sonnenfeld</td>\n", " <td>Kevin Spacey, Jennifer Garner, Robbie Amell,Ch...</td>\n", " <td>2016</td>\n", " <td>87</td>\n", " <td>5.3</td>\n", " <td>12435</td>\n", " <td>1000.0</td>\n", " <td>11.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>1000 rows × 11 columns</p>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "0 1 Guardians of the Galaxy Action,Adventure,Sci-Fi \n", "1 2 Prometheus Adventure,Mystery,Sci-Fi \n", "2 3 Split Horror,Thriller \n", "3 4 Sing Animation,Comedy,Family \n", "4 5 Suicide Squad Action,Adventure,Fantasy \n", ".. ... ... ... \n", "995 996 Secret in Their Eyes Crime,Drama,Mystery \n", "996 997 Hostel: Part II Horror \n", "997 998 Step Up 2: The Streets Drama,Music,Romance \n", "998 999 Search Party Adventure,Comedy \n", "999 1000 Nine Lives Comedy,Family,Fantasy \n", "\n", " Director Actors \\\n", "0 James Gunn Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S... \n", "1 Ridley Scott Noomi Rapace, Logan Marshall-Green, Michael Fa... \n", "2 M. Night Shyamalan James McAvoy, Anya Taylor-Joy, Haley Lu Richar... \n", "3 Christophe Lourdelet Matthew McConaughey,Reese Witherspoon, Seth Ma... \n", "4 David Ayer Will Smith, Jared Leto, Margot Robbie, Viola D... \n", ".. ... ... \n", "995 Billy Ray Chiwetel Ejiofor, Nicole Kidman, Julia Roberts... \n", "996 Eli Roth Lauren German, Heather Matarazzo, Bijou Philli... \n", "997 Jon M. Chu Robert Hoffman, Briana Evigan, Cassie Ventura,... \n", "998 Scot Armstrong Adam Pally, T.J. Miller, Thomas Middleditch,Sh... \n", "999 Barry Sonnenfeld Kevin Spacey, Jennifer Garner, Robbie Amell,Ch... \n", "\n", " Year Runtime (Minutes) Rating Votes Revenue (Millions) Metascore \n", "0 2014 121 8.1 757074 1.0 76.0 \n", "1 2012 124 7.0 485820 2.0 65.0 \n", "2 2016 117 7.3 157606 3.0 62.0 \n", "3 2016 108 7.2 60545 4.0 59.0 \n", "4 2016 123 6.2 393727 5.0 40.0 \n", ".. ... ... ... ... ... ... \n", "995 2015 111 6.2 27585 996.0 45.0 \n", "996 2007 94 5.5 73152 997.0 46.0 \n", "997 2008 98 6.2 70699 998.0 50.0 \n", "998 2014 93 5.6 4881 999.0 22.0 \n", "999 2016 87 5.3 12435 1000.0 11.0 \n", "\n", "[1000 rows x 11 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md.drop(['Description'], axis=1) # Dropping the Description column for no insights to analyze data.\n" ] }, { "cell_type": "markdown", "id": "f1cfeb13", "metadata": { "papermill": { "duration": 0.061805, "end_time": "2021-08-07T19:03:37.305770", "exception": false, "start_time": "2021-08-07T19:03:37.243965", "status": "completed" }, "tags": [] }, "source": [ "<a id=section304></a>\n", "### 3.4 Post processing:" ] }, { "cell_type": "markdown", "id": "8e3c3e6b", "metadata": { "papermill": { "duration": 0.063638, "end_time": "2021-08-07T19:03:37.430826", "exception": false, "start_time": "2021-08-07T19:03:37.367188", "status": "completed" }, "tags": [] }, "source": [ "Now we have preprocessed the data and It doesn't contain missing or zero values. In addition, we have also introduced new feature named __G__ to draw insights from __Genre__ column. Next, the __post-profiling__ report which we will generate after preprocessing will give us more beneficial insights. We can compare the two reports, i.e., __1000movies_after_preprocessing.html__ and __1000movies_before_preprocessing.html__<br/>\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "e1b693e6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:37.558348Z", "iopub.status.busy": "2021-08-07T19:03:37.557337Z", "iopub.status.idle": "2021-08-07T19:03:55.662089Z", "shell.execute_reply": "2021-08-07T19:03:55.661581Z", "shell.execute_reply.started": "2021-08-07T18:59:50.402872Z" }, "papermill": { "duration": 18.170738, "end_time": "2021-08-07T19:03:55.662236", "exception": false, "start_time": "2021-08-07T19:03:37.491498", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cdcf4c2773504ee3b1bcd82d0d8b7f22", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Summarize dataset: 0%\| \| 0/25 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "825085ecc98a41eda6ec1245bfb9becb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Generate report structure: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b0e6aedd2f984d0ca6a21e2b351c6e42", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Render HTML: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "24155ac667d344e2a10023cb1bb27fdb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Export report to file: 0%\| \| 0/1 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas_profiling # Get a quick overview for all the variables using pandas_profiling. \n", "profile = pandas_profiling.ProfileReport(md)\n", "profile.to_file(\"1000movies_after_preprocessing.html\") # HTML file will be downloaded to local workspace." ] }, { "cell_type": "markdown", "id": "4f1e229a", "metadata": { "papermill": { "duration": 0.062245, "end_time": "2021-08-07T19:03:55.787657", "exception": false, "start_time": "2021-08-07T19:03:55.725412", "status": "completed" }, "tags": [] }, "source": [ "In 1000movies_after_preprocessing.html report, observations:\n", "- In the Dataset info, Total __Missing(%)__ = __0.0%__ \n", "- Number of __variables__ = __12__ \n", "- Observe the newly created variable __G__." ] }, { "cell_type": "markdown", "id": "4e719117", "metadata": { "papermill": { "duration": 0.062027, "end_time": "2021-08-07T19:03:55.913077", "exception": false, "start_time": "2021-08-07T19:03:55.851050", "status": "completed" }, "tags": [] }, "source": [ "<a id=section4></a>\n", "## 4. 1000 Movies Data Analysis:" ] }, { "cell_type": "markdown", "id": "c58b2b51", "metadata": { "papermill": { "duration": 0.062499, "end_time": "2021-08-07T19:03:56.037999", "exception": false, "start_time": "2021-08-07T19:03:55.975500", "status": "completed" }, "tags": [] }, "source": [ "<a id=section401></a>\n", "### 4.1 How many movies are released per year over the period: 2006-2016?" ] }, { "cell_type": "code", "execution_count": 23, "id": "10b06026", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:56.170690Z", "iopub.status.busy": "2021-08-07T19:03:56.169854Z", "iopub.status.idle": "2021-08-07T19:03:56.556950Z", "shell.execute_reply": "2021-08-07T19:03:56.557511Z", "shell.execute_reply.started": "2021-08-07T19:00:13.024099Z" }, "papermill": { "duration": 0.455865, "end_time": "2021-08-07T19:03:56.557684", "exception": false, "start_time": "2021-08-07T19:03:56.101819", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/categorical.py:3714: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.\n", " warnings.warn(msg)\n", "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " FutureWarning\n" ] }, { "data": { "text/plain": [ "<Figure size 1440x1440 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtUAAAFtCAYAAADIwpbuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAhU0lEQVR4nO3de5CV9X3H8c8uuCiCwCKa5dKIGigjcTRSbWrUBGq9UW2SWq01tmZ0rIpaLSoKQkSt4TI2ta6XVkfbjiOTeB2RiDFeY+NtjIlIJtUMaiJbgV1QiQKy5/QPh61EXRees3vOwuv1V/b57Tnn952zcd778Oxz6srlcjkAAMBWq6/2BgAAoLcT1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAX1rfYGultr69qUSu4aCABAMcOGDfzUNWeqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCeuw+1WeddVZ++9vfpr6+Pv37989ll12WcePGZdmyZZk2bVrWrFmTwYMHZ86cOdljjz2SpNM1AACoFXXlcrlHPhnl3XffzcCBH94w++GHH05zc3PuueeenHLKKfnmN7+Z4447Lvfdd1/uuuuu/Od//meSdLrWVT78BQCASqiJD3/ZFNRJsnbt2tTV1aW1tTVLly7N5MmTkySTJ0/O0qVL09bW1ukaAADUkh79mPLp06fnqaeeSrlczs0335yWlpbsvvvu6dOnT5KkT58+2W233dLS0pJyufypa42NjT25bQAA6FSPRvVVV12VJLn33nszd+7cnHfeed3+mkOHDuj21wAAYPvWo1G9yV/8xV9k5syZ+dznPpe33nor7e3t6dOnT9rb27NixYo0NTWlXC5/6tqWcE01AACVUPVrqn/3u9+lpaWl4+tHHnkkgwYNytChQzNu3LgsXLgwSbJw4cKMGzcujY2Nna4BAEAt6ZG7f6xatSpnnXVW3n///dTX12fQoEG5+OKLs88+++TXv/51pk2blnfeeSe77LJL5syZkz333DNJOl3rKmeqAQB61qAh/dPQt0+1t7HVNmxsz9ur3/vY8c7OVPfYLfWqRVQDAPSsYcMGpvnZZdXexlY7+8DRWbny3Y8dr/rlHwAAsC0T1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQUN+eeJHVq1fnoosuyhtvvJGGhoZ8/vOfz+zZs9PY2JixY8dmzJgxqa//sO/nzp2bsWPHJkkeeeSRzJ07N+3t7dlnn31y9dVXZ6edduqJLQMAQJf1yJnqurq6nHbaaVm8eHHuv//+jBo1KvPnz+9YX7BgQe67777cd999HUH9u9/9LpdddlluvPHG/OhHP8rOO++cW265pSe2CwAAW6RHonrw4ME56KCDOr7eb7/9snz58k4f88QTT2T8+PHZY489kiQnnnhifvjDH3bnNgEAYKv0yOUfH1UqlXLHHXdk4sSJHce+9a1vpb29PYceemjOOeecNDQ0pKWlJcOHD+/4nuHDh6elpWWLX2/o0AEV2TcAANuPYcMGbtH393hUX3HFFenfv39OPvnkJMljjz2WpqamrF27NhdeeGGam5tz/vnnV+z1WlvXplQqV+z5AADo3JYGaS1aufLdjx3rbK4evfvHnDlz8vrrr+d73/texx8mNjU1JUkGDBiQ448/Pi+88ELH8Y9eIrJ8+fKO7wUAgFrSY1F9zTXXZMmSJWlubk5DQ0OS5O233866deuSJBs3bszixYszbty4JMkhhxySl156Ka+99lqSD/+Y8aijjuqp7QIAQJf1yOUfr7zySm666absscceOfHEE5MkI0eOzGmnnZaZM2emrq4uGzduzP7775/zzjsvyYdnrmfPnp0zzjgjpVIp48aNy/Tp03tiuwAAsEXqyuXyNn3BsWuqAQB61rBhA9P87LJqb2OrnX3g6Nq+phoAALZFohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEE9EtWrV6/O6aefniOOOCJ//ud/nilTpqStrS1J8uKLL+bYY4/NEUcckW9/+9tpbW3teFxnawAAUCt6JKrr6upy2mmnZfHixbn//vszatSozJ8/P6VSKRdeeGFmzpyZxYsXZ8KECZk/f36SdLoGAAC1pEeievDgwTnooIM6vt5vv/2yfPnyLFmyJP369cuECROSJCeeeGIefPDBJOl0DQAAakmPX1NdKpVyxx13ZOLEiWlpacnw4cM71hobG1MqlbJmzZpO1wAAoJb07ekXvOKKK9K/f/+cfPLJ+dGPftTtrzd06IBufw0AALYtw4YN3KLv79GonjNnTl5//fXceOONqa+vT1NTU5YvX96x3tbWlvr6+gwePLjTtS3R2ro2pVK5UiMAAPAZtjRIa9HKle9+7Fhnc/XY5R/XXHNNlixZkubm5jQ0NCRJxo8fn3Xr1uX5559PkixYsCBHHnnkZ64BAEAtqSuXy91+GveVV17J5MmTs8cee2THHXdMkowcOTLNzc154YUXMmvWrKxfvz4jRozIvHnzsuuuuyZJp2td5Uw1AEDPGjZsYJqfXVbtbWy1sw8cvcVnqnskqqtJVAMA9KztMap9oiIAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCuhzVt9xyyycev/XWWyu2GQAA6I26HNXNzc2fePyGG26o2GYAAKA36vtZ3/DTn/40SVIqlfL000+nXC53rP32t7/Nzjvv3H27AwCAXuAzo3r69OlJkvXr1+fSSy/tOF5XV5dhw4ZlxowZ3bc7AADoBT4zqh955JEkyUUXXZS5c+d2+4YAAKC3+cyo3uSjQV0qlTZbq693ExEAALZfXY7ql19+ObNnz86vfvWrrF+/PklSLpdTV1eXX/7yl922QQAAqHVdjupp06bla1/7Wv7pn/4pO+64Y3fuCQAAepUuR/Wbb76Z888/P3V1dd25HwAA6HW6fDH04Ycfnp/85CfduRcAAOiVunymev369ZkyZUoOOOCA7LrrrputuSsIAADbsy5H9d5775299967O/cCAAC9UpejesqUKd25DwAA6LW6HNWbPq78k3z5y1+uyGYAAKA36nJUb/q48k1Wr16dDz74ILvvvnt+/OMfV3xjAADQW3Q5qjd9XPkm7e3tueGGG7LzzjtXfFMAANCbbPXni/fp0yd///d/n5tvvrmS+wEAgF6ny2eqP8lTTz3V5Q+DmTNnThYvXpw333wz999/f8aMGZMkmThxYhoaGtKvX78kydSpU3PIIYckSV588cXMnDkz69evz4gRIzJv3rwMHTq0yJYBAKDiuhzVhx122GYB/f7772fDhg2ZNWtWlx4/adKknHLKKfmbv/mbj61de+21HZG9SalUyoUXXpirr746EyZMyPXXX5/58+fn6quv7uqWAQCgR3Q5qufNm7fZ1zvttFNGjx6dAQMGdOnxEyZM2KKNLVmyJP369et43IknnphJkyaJagAAak6Xo/rAAw9M8uEZ5FWrVmXXXXdNff1WX5K9malTp6ZcLueAAw7IBRdckF122SUtLS0ZPnx4x/c0NjamVCplzZo1GTx4cEVeFwAAKqHLUb127drMnj07ixYtysaNG9O3b98cc8wxmTFjRgYOHLjVG7j99tvT1NSUDRs25Kqrrsrs2bMzf/78rX6+3zd0aNfOpAMAwCbDhm1Z33Y5qq+88sq8//77uf/++zNixIi8+eab+ed//udceeWVmTNnzhZvdJOmpqYkSUNDQ0466aSceeaZHceXL1/e8X1tbW2pr6/f4rPUra1rUyqVt3p/AABsmS0N0lq0cuW7HzvW2Vxdjuonn3wyDz/8cHbaaackyejRo3P11Vfn8MMP34ptfui9995Le3t7Bg4cmHK5nEWLFmXcuHFJkvHjx2fdunV5/vnnM2HChCxYsCBHHnnkVr8WAAB0ly5Hdb9+/dLW1pYRI0Z0HFu9enUaGhq69Pgrr7wyDz30UFatWpVTTz01gwcPzo033phzzjkn7e3tKZVK2WuvvTruJlJfX5+5c+dm1qxZm91SDwAAak1duVzu0rUR119/fe6777783d/9XYYPH57ly5fntttuy7HHHpuzzz67u/e51Vz+AQDQs4YNG5jmZ5dVextb7ewDR3ff5R9nnnlmdt9999x///1ZsWJFdtttt5x22mk5/vjjt263AACwjejyPfGuuuqqjB49OrfddlsWLVqU2267LXvttVeuuuqq7twfAADUvC5H9cKFCzN+/PjNjo0fPz4LFy6s+KYAAKA36XJU19XVpVQqbXZs0x8YAgDA9qzLUT1hwoT8y7/8S0dEl0ql/Ou//usWf/w4AABsa7r8h4rTp0/PGWecka985SsZPnx4WlpaMmzYsNx4443duT8AAKh5XY7qz33uc7nnnnvyi1/8Ii0tLWlqasq+++6b+voun+wGAIBtUpejOvnwA1n222+/7Lffft20HQAA6H2cZgYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABS0RR9TDgDAlhs0pH8a+vap9ja22oaN7Xl79XvV3kZNE9UAAN2soW+fND+7rNrb2GpnHzi62luoeS7/AACAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBPRLVc+bMycSJEzN27Nj8z//8T8fxZcuW5YQTTsgRRxyRE044Ia+99lqX1gAAoJb0SFRPmjQpt99+e0aMGLHZ8VmzZuWkk07K4sWLc9JJJ2XmzJldWgMAgFrSI1E9YcKENDU1bXastbU1S5cuzeTJk5MkkydPztKlS9PW1tbpGgAA1Jq+1XrhlpaW7L777unTp0+SpE+fPtltt93S0tKScrn8qWuNjY1b9DpDhw6o+N4BALY3w4YNrPYWetSWzlu1qO4pra1rUyqVq70NAGA7ti0E6cqV73b5e7fVeTubq2pR3dTUlLfeeivt7e3p06dP2tvbs2LFijQ1NaVcLn/qGgDQuw0a0j8NfftUexuFbNjYnrdXv1ftbVBDqhbVQ4cOzbhx47Jw4cIcd9xxWbhwYcaNG9dxeUdnawBA79XQt0+an11W7W0UcvaBo6u9BWpMj0T1lVdemYceeiirVq3KqaeemsGDB+eBBx7Id77znUybNi3XX399dtlll8yZM6fjMZ2tAQBALemRqJ4xY0ZmzJjxseN77bVXfvCDH3ziYzpbAwCAWuITFQEAoCBRDQAABYlqAAAoSFQDAEBB2/yHvwBArevt9212z2YQ1QBQdb39vs3u2Qwu/wAAgMJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIL6VnsDAPD7Bg3pn4a+faq9ja22YWN73l79XrW3AfQgUQ1Q43p7YCZbHpkNffuk+dll3bij7nX2gaOrvQWgh4lqgBrX2wMzEZnAts811QAAUJAz1UCv09svh3C9LcC2R1QDvU5vvxzCpRAA2x6XfwAAQEGiGgAAChLVAABQkKgGAICCauIPFSdOnJiGhob069cvSTJ16tQccsghefHFFzNz5sysX78+I0aMyLx58zJ06NAq7xYAADZXE1GdJNdee23GjBnT8XWpVMqFF16Yq6++OhMmTMj111+f+fPn5+qrr67iLnsntx8DAOheNRPVv2/JkiXp169fJkyYkCQ58cQTM2nSJFG9Fba324/19l8iEr9IAEBvUzNRPXXq1JTL5RxwwAG54IIL0tLSkuHDh3esNzY2plQqZc2aNRk8eHD1NkrN6+2/RCTb3y8SfokAoLeriai+/fbb09TUlA0bNuSqq67K7Nmzc/jhh1fkuYcOHVCR56G6hg0bWO0t9Lgtnbk3/yJx9oGjt7v3eHubN9n+Zjbvtm97m9m8nauJqG5qakqSNDQ05KSTTsqZZ56ZU045JcuXL+/4nra2ttTX12/xWerW1rUplcqV3G6vsy38n2Dlyne7/L3bwrzJ9jezeT/dtjBvsv3NbN5Pty3Mm2x/M5u387mqfku99957L+++++Gmy+VyFi1alHHjxmX8+PFZt25dnn/++STJggULcuSRR1ZzqwAA8Imqfqa6tbU155xzTtrb21MqlbLXXntl1qxZqa+vz9y5czNr1qzNbqkHAAC1pupRPWrUqNx7772fuPalL30p999/f89uCAAAtlDVL/8AAIDerupnqqvB7ccAAKik7TKqe/t9jLf0HsYAAHQvl38AAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVAMAQEGiGgAAChLVAABQkKgGAICCRDUAABQkqgEAoCBRDQAABYlqAAAoSFQDAEBBohoAAAoS1QAAUJCoBgCAgkQ1AAAUJKoBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgIFENAAAF1XxUL1u2LCeccEKOOOKInHDCCXnttdeqvSUAANhMzUf1rFmzctJJJ2Xx4sU56aSTMnPmzGpvCQAANtO32hvoTGtra5YuXZpbb701STJ58uRcccUVaWtrS2NjY5eeo76+7hOPD2yo6dE/06fN9WnM2/tsbzObt3O9fd5k+5vZvJ3r7fMm29/M5u1cXblcLnfTXgpbsmRJLr744jzwwAMdx44++ujMmzcv++yzTxV3BgAA/6/mL/8AAIBaV9NR3dTUlLfeeivt7e1Jkvb29qxYsSJNTU1V3hkAAPy/mo7qoUOHZty4cVm4cGGSZOHChRk3blyXr6cGAICeUNPXVCfJr3/960ybNi3vvPNOdtlll8yZMyd77rlntbcFAAAdaj6qAQCg1tX05R8AANAbiGoAAChIVAMAQEGiGgAACurdnx/ZA1avXp2LLroob7zxRhoaGvL5z38+s2fPTmNjY1588cXMnDkz69evz4gRIzJv3rwMHTo0STpdW7NmTWbPnp2XX345ffv2zVFHHZUpU6ZUc8wOlZ73hRdeyOWXX97x/K2trRk2bFjuueeeao24me54f++88878x3/8R+rr69OnT59ceumlmTBhQjXH3Ex3zHzXXXfltttuS6lUyqhRo/Ld7343gwcPruKU/29r5/3Hf/zHPPPMM1m5cmVeeOGF7Lzzzh3P2dnjqq075u1srRZUeuZly5Zl5syZWblyZfr27ZsvfvGLmTVrVnbcccdqjtmh0vOWSqX89V//dd5///0kybBhw3L55Zdn5MiRVZvxo7rjZ3qTSy65JHfffXfN/Vx3x8xjx47NmDFjUl//4fnUuXPnZuzYsVWZ7/d1x7xVaa0ynVq9enX56aef7vj6u9/9bvmSSy4pt7e3l//0T/+0/Nxzz5XL5XK5ubm5PG3atHK5XO50rVwul88444zyrbfe2vH1ihUremCSrumOeT/qzDPPLN98883dPEXXVXretra28v77719euXJluVwulx9++OHyUUcd1ZMjfaZKz/zqq6+Wv/KVr5RbW1s71i677LKeHKlTWzNvuVwu//d//3d51apV5TFjxpTXrl3bcXxLft6rodLzftZaLaj0zL/5zW/KL7/8crlc/vD9Pu+888rXXXddD03z2brjPX7nnXc6/vdtt91WPvvss7t5iq7rjnnL5XL5xz/+cfmSSy6pyZ/r7pi5FufcpDvmrUZrieot9OCDD5b/9m//tvzzn/+8fMwxx3Qcb21tLe+3337lcrnc6dqyZcvKX/va18qlUqlnN76Vis77UatWrSrvu+++HcFZi4rOu+l/v/baa+VyuVy+5557yqeeemoPTrDlis68aNGi8umnn96xtmTJkk98/2tFV+b9qN//j3VXH1cris7b1bVaUsmZy+Vy+ZZbbilfeuml3bLXSqj0vNddd135nHPO6Za9VkIl5m1rayt//etfL7/zzju94ue6EjP3hjk3KTpvtVrL5R9boFQq5Y477sjEiRPT0tKS4cOHd6w1NjamVCplzZo1na69+uqr2X333TN9+vT88pe/zK677pqLLrooX/jCF6oxUqcqMe9HLwG49957c/DBB2fXXXftyTG6rBLzNjY2Zvbs2fn617+eXXbZJaVSKf/1X/9VjXG6pBIz/+Ef/mFeeuml/OY3v8nIkSOzcOHCvPfeex97/2tBV+ftbN9b+7hqqMS8vU2lZ163bl3uuuuuXHDBBd2042IqOe/pp5+epUuXZsiQIbnlllu6cddbr1Lzzp49O+eee24GDhzYzTsurpLv8be+9a20t7fn0EMPzTnnnJOGhoZu3PnWqcS81Wotf6i4Ba644or0798/J5988lY/R6lUys9//vN84xvfyD333JPjjz8+Z555ZgV3WTmVmPej7r777nzzm9+syHN1h0rMu3bt2tx+++25884789hjj2XatGmZMmVKyjX6GUuVmHn06NGZMWNGzj///PzVX/1VBg0alCTp27f2fmev9M90rdve5k0qO/PGjRtz/vnn54//+I8zadKkCuyu8io577//+7/nySefzDHHHJMbbrihArurvErMu2jRouywww756le/WrmNdaNKvcePPfZY7r777tx+++159dVX09zcXKEdVlZvbi1R3UVz5szJ66+/nu9973upr69PU1NTli9f3rHe1taW+vr6DB48+DPXmpqaOv5w7c/+7M+ycuXKtLW19fhMnanUvJu8+OKLefvtt3PYYYf15BhdVql5f/KTn2TgwIHZc889kyRHH3103njjjaxevbrHZ/oslXyPjznmmNx55535wQ9+kD/5kz/J7rvvngEDBvT0SJ3aknk7s7WP62mVmrc3qeTM7e3tmTp1agYNGpQZM2Z04663Xne8x/X19fnLv/zL3Hfffd2w42IqNe+zzz6bp59+OhMnTszEiROTJJMnT86rr77andvfKpV8j5uampIkAwYMyPHHH58XXnihu7a91Sr53+lqtJao7oJrrrkmS5YsSXNzc8c/lYwfPz7r1q3L888/nyRZsGBBjjzyyC6t9e/fP6+88kqS5LnnnsugQYMyZMiQnh7rU1Vy3k3uuuuuHHvssTV59rKS844cOTJLly5Na2trkuTpp5/OgAEDaur9TSr/Hq9cuTJJsn79+lx77bX59re/3ZPjfKYtnbczW/u4nlTJeXuLSs5cKpUybdq09OnTJ1dddVXq6uq6de9bo5LztrW1bRYbDz74YM3cFWKTSs77ne98J0888UQeeeSRPPLII0mShQsXZu+99+6+AbZCJWd+++23s27duiQf/gvM4sWLM27cuO7b/Fao9H+nq9FadeVa/XfpGvHKK69k8uTJ2WOPPTpupzRy5Mg0NzfnhRdeyKxZsza7zcum64U7W3vppZdy+eWXZ8OGDdlpp50yffr07LvvvlWb8aO6Y95169bl4IMPzve///3stddeVZvtk3THvLfeemu+//3vZ4cddkhDQ0OmTZtWU7fU646ZTzvttCxfvjwffPBBjj766Jx33nkdt22qtq2dd8qUKfnFL36Rt956K7vttlvGjBnTcZ1pZ4+rtu6Yt7O1WlDpmR977LGcccYZm91+7Etf+lJmzZpVtRk/qtLz/upXv8oll1ySDz74IEkyYsSITJ8+PaNGjarajB/VHT/THzV27Niau6VepWf+2c9+lpkzZ6auri4bN27M/vvvn0svvbRmZu6O97garSWqAQCgoNo4lQQAAL2YqAYAgIJENQAAFCSqAQCgIFENAAAFiWoAAChIVANsY6ZOnZpLLrlks2PPPvtsDjrooKxYsaJKuwLYtolqgG3M9OnT88QTT+Spp55K8uEnXV522WW5+OKLs9tuuxV+/o0bNxZ+DoBtjagG2MYMGTIkM2bMyGWXXZb33nsv1113XUaNGpU999wzJ554YiZMmJBjjz02zzzzTMdj7rrrrhx11FHZf//9M2nSpCxYsKBj7Zlnnsmhhx6af/u3f8vBBx/8sbPgACR9q70BACrvqKOOyqJFi3LBBRfkZz/7We6+++584xvfyNy5c3PIIYfkpz/9ac4999z88Ic/TGNjY4YOHZqbbropo0aNynPPPZfTTz89X/ziF7PPPvskSVatWpW33347jz76aEqlUpWnA6g9zlQDbKNmzZqVZ555JmeddVYeeOCBHHrooTnssMNSX1+fgw8+OOPHj8/jjz+eJPnqV7+aP/iDP0hdXV0OPPDAHHzwwXn++ec7nqu+vj7nnntuGhoasuOOO1ZrJICa5Uw1wDZq1113zZAhQ/KFL3whDz30UB588ME8+uijHesbN27MQQcdlCR5/PHH09zcnNdeey2lUinr1q3LmDFjOr53yJAh6devX4/PANBbiGqA7UBTU1OOO+64XHnllR9b27BhQ84999zMmTMnkyZNyg477JCzzjor5XK543vq6up6crsAvY7LPwC2A8cee2weffTRPPnkk2lvb8/69evzzDPP5H//93+zYcOGbNiwIY2Njenbt28ef/zxjjuHANA1ohpgO9DU1JTrr78+N910U7785S/nsMMOyy233JJSqZQBAwZkxowZ+Yd/+If80R/9URYuXJiJEydWe8sAvUpd+aP/vgcAAGwxZ6oBAKAgUQ0AAAWJagAAKEhUAwBAQaIaAAAKEtUAAFCQqAYAgIJENQAAFCSqAQCgoP8D5ezwSgTCdyAAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 720x360 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20,20))\n", "MovTrnd = sns.factorplot(\"Year\", data=md, aspect=2, kind=\"count\", color='Skyblue')\n", "#Displays count of movies releases over the period:2006-2016.\n", "#Also, Count of Movies per year." ] }, { "cell_type": "markdown", "id": "51e44810", "metadata": { "papermill": { "duration": 0.065008, "end_time": "2021-08-07T19:03:56.686130", "exception": false, "start_time": "2021-08-07T19:03:56.621122", "status": "completed" }, "tags": [] }, "source": [ "#### Observations:\n", "- The above plot shows that the number of movies per year was gradually increasing.\n", "- But in 2016, count has grown all of a sudden signifying movie industry has become very popular." ] }, { "cell_type": "markdown", "id": "fc561d93", "metadata": { "papermill": { "duration": 0.062927, "end_time": "2021-08-07T19:03:56.812178", "exception": false, "start_time": "2021-08-07T19:03:56.749251", "status": "completed" }, "tags": [] }, "source": [ "<a id=section402></a>\n", "### 4.2 What are the top 10 Movies with Highest Revenue?" ] }, { "cell_type": "code", "execution_count": 24, "id": "92daeb89", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:56.951102Z", "iopub.status.busy": "2021-08-07T19:03:56.948168Z", "iopub.status.idle": "2021-08-07T19:03:57.384741Z", "shell.execute_reply": "2021-08-07T19:03:57.384198Z", "shell.execute_reply.started": "2021-08-07T19:00:13.461574Z" }, "papermill": { "duration": 0.509493, "end_time": "2021-08-07T19:03:57.384896", "exception": false, "start_time": "2021-08-07T19:03:56.875403", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x360 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "df4=md.sort_values(\"Revenue (Millions)\", ascending=False).head(10)\n", "df_4 = sns.barplot(x=\"Revenue (Millions)\", y=\"Title\",hue='Year', linewidth=0, data=df4,ci= None)\n", "#plt.title('Top 10 Movies with Highest Revenue',fontsize=18,fontweight=\"bold\")\n", "df_4.set_xlim(990,1000)\n", "plt.legend(bbox_to_anchor=(1.05, 0.9), loc=2, borderaxespad=0.) #Moving the hue to right for graph visibility.\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "53c16340", "metadata": { "papermill": { "duration": 0.064942, "end_time": "2021-08-07T19:03:57.518041", "exception": false, "start_time": "2021-08-07T19:03:57.453099", "status": "completed" }, "tags": [] }, "source": [ "- From the barplot, the movie with highest revenue is: 'Nine Lives' in the year 2016.\n", "- And its revenue is nearly 999 millions.\n", "- 'Search Party' and 'Step Up 2: The Streets' are the next highest reveneue generators of about 999 millions and 998 millions respectively.\n", "- It is observed that there is not much revenue difference(<10m) among the top 10 movies.\n", "- Another interesting observation is that the highest revenue generated movies are from all the years except 2006. \n" ] }, { "cell_type": "markdown", "id": "ebc6498a", "metadata": { "papermill": { "duration": 0.06375, "end_time": "2021-08-07T19:03:57.648839", "exception": false, "start_time": "2021-08-07T19:03:57.585089", "status": "completed" }, "tags": [] }, "source": [ "<a id=section403></a>\n", "### 4.3 What is the Revenue trend of the Movies over the Years?" ] }, { "cell_type": "code", "execution_count": 25, "id": "4bb5b413", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:57.798536Z", "iopub.status.busy": "2021-08-07T19:03:57.797843Z", "iopub.status.idle": "2021-08-07T19:03:57.800937Z", "shell.execute_reply": "2021-08-07T19:03:57.800446Z", "shell.execute_reply.started": "2021-08-07T19:00:13.966717Z" }, "papermill": { "duration": 0.085481, "end_time": "2021-08-07T19:03:57.801138", "exception": false, "start_time": "2021-08-07T19:03:57.715657", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x =[]\n", "y =[]\n", "\n", "for i in md['Year'].unique():\n", " y.append(md[md['Year']==i]['Revenue (Millions)'].sum())\n", " x.append(i) " ] }, { "cell_type": "code", "execution_count": 26, "id": "94890722", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:57.941415Z", "iopub.status.busy": "2021-08-07T19:03:57.940765Z", "iopub.status.idle": "2021-08-07T19:03:57.944210Z", "shell.execute_reply": "2021-08-07T19:03:57.943672Z", "shell.execute_reply.started": "2021-08-07T19:00:13.985643Z" }, "papermill": { "duration": 0.077462, "end_time": "2021-08-07T19:03:57.944356", "exception": false, "start_time": "2021-08-07T19:03:57.866894", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Year</th>\n", " <th>Revenue_Sum</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>2014</td>\n", " <td>50272.000000</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2012</td>\n", " <td>34104.000000</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>2016</td>\n", " <td>111654.956376</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>2015</td>\n", " <td>62407.000000</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>2007</td>\n", " <td>30559.000000</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>2011</td>\n", " <td>37143.000000</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>2008</td>\n", " <td>32533.000000</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>2006</td>\n", " <td>25894.000000</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>2009</td>\n", " <td>29928.000000</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>2010</td>\n", " <td>35239.000000</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>2013</td>\n", " <td>50617.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Year Revenue_Sum\n", "0 2014 50272.000000\n", "1 2012 34104.000000\n", "2 2016 111654.956376\n", "3 2015 62407.000000\n", "4 2007 30559.000000\n", "5 2011 37143.000000\n", "6 2008 32533.000000\n", "7 2006 25894.000000\n", "8 2009 29928.000000\n", "9 2010 35239.000000\n", "10 2013 50617.000000" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "z = pd.DataFrame(list(zip(x, y)), columns=['Year','Revenue_Sum'])\n", "z" ] }, { "cell_type": "code", "execution_count": 27, "id": "c6a7c209", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:58.104288Z", "iopub.status.busy": "2021-08-07T19:03:58.096852Z", "iopub.status.idle": "2021-08-07T19:03:58.297322Z", "shell.execute_reply": "2021-08-07T19:03:58.297782Z", "shell.execute_reply.started": "2021-08-07T19:00:14.005403Z" }, "papermill": { "duration": 0.288626, "end_time": "2021-08-07T19:03:58.297962", "exception": false, "start_time": "2021-08-07T19:03:58.009336", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,7))\n", "TrenMov = sns.lineplot(x=\"Year\", y=\"Revenue_Sum\",data=z,ci= None)\n", "#Displays cummulative revenue generated on the movies per year." ] }, { "cell_type": "markdown", "id": "ae87e784", "metadata": { "papermill": { "duration": 0.068453, "end_time": "2021-08-07T19:03:58.433274", "exception": false, "start_time": "2021-08-07T19:03:58.364821", "status": "completed" }, "tags": [] }, "source": [ "- The Linegraph shows the sum of Revenues per Year.\n", "- Total Revenue was gradually increasing with Years.\n", "- Key point is that, There is sudden increase in the Revenue in 2013.\n", "- And then, stable or slightly decreased in 2014.\n", "- The year 2016 generated highest total revenue." ] }, { "cell_type": "markdown", "id": "53f79aac", "metadata": { "papermill": { "duration": 0.067968, "end_time": "2021-08-07T19:03:58.572404", "exception": false, "start_time": "2021-08-07T19:03:58.504436", "status": "completed" }, "tags": [] }, "source": [ "<a id=section404></a>\n", "### 4.4 Relation between Rating and Revenue." ] }, { "cell_type": "code", "execution_count": 28, "id": "0b73b730", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:58.736100Z", "iopub.status.busy": "2021-08-07T19:03:58.734382Z", "iopub.status.idle": "2021-08-07T19:03:59.367458Z", "shell.execute_reply": "2021-08-07T19:03:59.366876Z", "shell.execute_reply.started": "2021-08-07T19:00:14.256572Z" }, "papermill": { "duration": 0.725507, "end_time": "2021-08-07T19:03:59.367609", "exception": false, "start_time": "2021-08-07T19:03:58.642102", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " FutureWarning\n" ] }, { "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x7fa248c00910>" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "<Figure size 1440x1440 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x432 with 3 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20,20))\n", "sns.jointplot(\"Rating\",\"Revenue (Millions)\", data=md, kind='hex', color='DarkBlue')\n", "#Relation between Rating and Revenue." ] }, { "cell_type": "markdown", "id": "04b5e4fa", "metadata": { "papermill": { "duration": 0.070578, "end_time": "2021-08-07T19:03:59.507168", "exception": false, "start_time": "2021-08-07T19:03:59.436590", "status": "completed" }, "tags": [] }, "source": [ "- The immediate inference by seeing this joinplot is, Although ratings play a vital role, It doesn't guarantee revenue generation all the times.\n", "- In the graph, majority of ratings for more than 200m revenue genereated movies are between 6 and 8.5.\n", "- Another important finding is, most of the movies ratings are between 5 and 8.5. \n", "- This signifies that users are generous to give average or above average rating.\n", "- Also, the rating is normally distributed. Where as, Movies count with <200m is more.\n", "\n" ] }, { "cell_type": "markdown", "id": "129da660", "metadata": { "papermill": { "duration": 0.07018, "end_time": "2021-08-07T19:03:59.648044", "exception": false, "start_time": "2021-08-07T19:03:59.577864", "status": "completed" }, "tags": [] }, "source": [ "<a id=section405></a>\n", "### 4.5 Analysing Genres of all the movies individually." ] }, { "cell_type": "code", "execution_count": 29, "id": "f050a24b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:59.794839Z", "iopub.status.busy": "2021-08-07T19:03:59.793998Z", "iopub.status.idle": "2021-08-07T19:03:59.797707Z", "shell.execute_reply": "2021-08-07T19:03:59.797228Z", "shell.execute_reply.started": "2021-08-07T19:00:14.938684Z" }, "papermill": { "duration": 0.078829, "end_time": "2021-08-07T19:03:59.797847", "exception": false, "start_time": "2021-08-07T19:03:59.719018", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array(['Action', 'Adventure', 'Horror', 'Animation', 'Comedy',\n", " 'Biography', 'Drama', 'Crime', 'Romance', 'Mystery', 'Thriller',\n", " 'Sci-Fi', 'Fantasy', 'Family', 'History', 'Music', 'Western',\n", " 'War', 'Musical', 'Sport'], dtype=object)" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib.pyplot as plt #Finding individual uniques out of profiled genre column\n", "df2.G.unique()" ] }, { "cell_type": "code", "execution_count": 30, "id": "6b320bd6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:59.947295Z", "iopub.status.busy": "2021-08-07T19:03:59.946488Z", "iopub.status.idle": "2021-08-07T19:03:59.951008Z", "shell.execute_reply": "2021-08-07T19:03:59.950523Z", "shell.execute_reply.started": "2021-08-07T19:00:14.947988Z" }, "papermill": { "duration": 0.083174, "end_time": "2021-08-07T19:03:59.951161", "exception": false, "start_time": "2021-08-07T19:03:59.867987", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "G\n", "Action 303\n", "Adventure 259\n", "Animation 49\n", "Biography 81\n", "Comedy 279\n", "Crime 150\n", "Drama 513\n", "Family 51\n", "Fantasy 101\n", "History 29\n", "Horror 119\n", "Music 16\n", "Musical 5\n", "Mystery 106\n", "Romance 141\n", "Sci-Fi 120\n", "Sport 18\n", "Thriller 195\n", "War 13\n", "Western 7\n", "dtype: int64" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df2.pivot_table(index=['G'], aggfunc='size') " ] }, { "cell_type": "code", "execution_count": 31, "id": "627447d8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:00.118462Z", "iopub.status.busy": "2021-08-07T19:04:00.117804Z", "iopub.status.idle": "2021-08-07T19:04:00.377422Z", "shell.execute_reply": "2021-08-07T19:04:00.377856Z", "shell.execute_reply.started": "2021-08-07T19:00:14.965097Z" }, "papermill": { "duration": 0.354367, "end_time": "2021-08-07T19:04:00.378036", "exception": false, "start_time": "2021-08-07T19:04:00.023669", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<Figure size 1080x1080 with 0 Axes>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Genre_names=['Action', 'Adventure', 'Horror', 'Animation', 'Comedy',\n", " 'Biography', 'Drama', 'Crime', 'Romance', 'Mystery', 'Thriller',\n", " 'Sci-Fi', 'Fantasy', 'Family', 'History', 'Music', 'Western',\n", " 'War', 'Musical', 'Sport']\n", "Genre_Size=[303,259,49,81,279,150,513,51,101,29,119,16,5,106,141,120,18,195,13,7]\n", "\n", "plt.figure(figsize=(15,15))\n", "fig, gen = plt.subplots()\n", "gen.axis('equal')\n", "Genpie, _ = gen.pie(Genre_Size, radius=2.5, labels=Genre_names, colors = ['skyblue', 'gold','red','orange','blue','pink','violet','grey','gold','yellowgreen','brown'])\n", "plt.setp(Genpie, width=1, edgecolor='white')\n", "plt.margins(0,0)" ] }, { "cell_type": "markdown", "id": "cfbc4f58", "metadata": { "papermill": { "duration": 0.07395, "end_time": "2021-08-07T19:04:00.527289", "exception": false, "start_time": "2021-08-07T19:04:00.453339", "status": "completed" }, "tags": [] }, "source": [ "- From pie chart, movies with drama genre are highest.\n", "- Followed by, Action and then, Comedy Genre.\n", "- Genres with lowest movies are Musical, Fantasy, Sci-Fi and Sport.\n", "- All the remaining genres shared nearly same movies count ratio." ] }, { "cell_type": "markdown", "id": "b8acf029", "metadata": { "papermill": { "duration": 0.077935, "end_time": "2021-08-07T19:04:00.681071", "exception": false, "start_time": "2021-08-07T19:04:00.603136", "status": "completed" }, "tags": [] }, "source": [ "<a id=section406></a>\n", "### 4.6 Who are the Highest and Lowest Revenue(cummulative) generated Directors??" ] }, { "cell_type": "code", "execution_count": 32, "id": "1201c117", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:00.844398Z", "iopub.status.busy": "2021-08-07T19:04:00.842269Z", "iopub.status.idle": "2021-08-07T19:04:01.342127Z", "shell.execute_reply": "2021-08-07T19:04:01.341560Z", "shell.execute_reply.started": "2021-08-07T19:00:15.268237Z" }, "papermill": { "duration": 0.585036, "end_time": "2021-08-07T19:04:01.342267", "exception": false, "start_time": "2021-08-07T19:04:00.757231", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x =[]\n", "y =[]\n", "\n", "for i in md['Director'].unique():\n", " y.append(md[md['Director']==i]['Revenue (Millions)'].sum())\n", " x.append(i)" ] }, { "cell_type": "code", "execution_count": 33, "id": "7fcb1639", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:01.492240Z", "iopub.status.busy": "2021-08-07T19:04:01.491559Z", "iopub.status.idle": "2021-08-07T19:04:01.495565Z", "shell.execute_reply": "2021-08-07T19:04:01.494926Z", "shell.execute_reply.started": "2021-08-07T19:00:15.841587Z" }, "papermill": { "duration": 0.081732, "end_time": "2021-08-07T19:04:01.495712", "exception": false, "start_time": "2021-08-07T19:04:01.413980", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df6 = (pd.DataFrame(list(zip(x, y)), columns=['Director','Revenue_Sum'])).sort_values('Revenue_Sum', ascending=False)" ] }, { "cell_type": "code", "execution_count": 34, "id": "54c73481", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:01.646928Z", "iopub.status.busy": "2021-08-07T19:04:01.646282Z", "iopub.status.idle": "2021-08-07T19:04:01.648254Z", "shell.execute_reply": "2021-08-07T19:04:01.648725Z", "shell.execute_reply.started": "2021-08-07T19:00:15.849560Z" }, "papermill": { "duration": 0.080698, "end_time": "2021-08-07T19:04:01.648893", "exception": false, "start_time": "2021-08-07T19:04:01.568195", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df7 = df6.tail(5) #Lowest Revenue generated directors\n", "df6 = df6.head(5) #Highest Revenue generated directors" ] }, { "cell_type": "code", "execution_count": 35, "id": "608be90f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:01.796844Z", "iopub.status.busy": "2021-08-07T19:04:01.796205Z", "iopub.status.idle": "2021-08-07T19:04:01.969556Z", "shell.execute_reply": "2021-08-07T19:04:01.969991Z", "shell.execute_reply.started": "2021-08-07T19:00:15.866924Z" }, "papermill": { "duration": 0.248936, "end_time": "2021-08-07T19:04:01.970165", "exception": false, "start_time": "2021-08-07T19:04:01.721229", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.barplot(x=\"Revenue_Sum\", y=\"Director\", data=df6, ci= None)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 36, "id": "4b2ab6ec", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:02.118083Z", "iopub.status.busy": "2021-08-07T19:04:02.117521Z", "iopub.status.idle": "2021-08-07T19:04:02.403996Z", "shell.execute_reply": "2021-08-07T19:04:02.404494Z", "shell.execute_reply.started": "2021-08-07T19:00:16.082166Z" }, "papermill": { "duration": 0.362157, "end_time": "2021-08-07T19:04:02.404667", "exception": false, "start_time": "2021-08-07T19:04:02.042510", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "md.Director.value_counts().head(15).plot.bar()\n", "#sns.barplot(x=\"Revenue_Sum\", y=\"Director\", data=df7, ci= None)" ] }, { "cell_type": "code", "execution_count": 37, "id": "e1ae953d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:02.570036Z", "iopub.status.busy": "2021-08-07T19:04:02.569174Z", "iopub.status.idle": "2021-08-07T19:04:02.573559Z", "shell.execute_reply": "2021-08-07T19:04:02.572987Z", "shell.execute_reply.started": "2021-08-07T19:00:16.423290Z" }, "papermill": { "duration": 0.094994, "end_time": "2021-08-07T19:04:02.573697", "exception": false, "start_time": "2021-08-07T19:04:02.478703", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Rank</th>\n", " <th>Title</th>\n", " <th>Genre</th>\n", " <th>Description</th>\n", " <th>Director</th>\n", " <th>Actors</th>\n", " <th>Year</th>\n", " <th>Runtime (Minutes)</th>\n", " <th>Rating</th>\n", " <th>Votes</th>\n", " <th>Revenue (Millions)</th>\n", " <th>Metascore</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>858</th>\n", " <td>859</td>\n", " <td>The Hills Have Eyes</td>\n", " <td>Horror</td>\n", " <td>A suburban American family is being stalked by...</td>\n", " <td>Alexandre Aja</td>\n", " <td>Ted Levine, Kathleen Quinlan, Dan Byrd, Emilie...</td>\n", " <td>2006</td>\n", " <td>107</td>\n", " <td>6.4</td>\n", " <td>136642</td>\n", " <td>859.0</td>\n", " <td>52.0</td>\n", " </tr>\n", " <tr>\n", " <th>864</th>\n", " <td>865</td>\n", " <td>The 9th Life of Louis Drax</td>\n", " <td>Mystery,Thriller</td>\n", " <td>A psychologist who begins working with a young...</td>\n", " <td>Alexandre Aja</td>\n", " <td>Jamie Dornan, Aiden Longworth, Sarah Gadon,Aar...</td>\n", " <td>2016</td>\n", " <td>108</td>\n", " <td>6.3</td>\n", " <td>6175</td>\n", " <td>865.0</td>\n", " <td>41.0</td>\n", " </tr>\n", " <tr>\n", " <th>865</th>\n", " <td>866</td>\n", " <td>Horns</td>\n", " <td>Drama,Fantasy,Horror</td>\n", " <td>In the aftermath of his girlfriend's mysteriou...</td>\n", " <td>Alexandre Aja</td>\n", " <td>Daniel Radcliffe, Juno Temple, Max Minghella, ...</td>\n", " <td>2013</td>\n", " <td>120</td>\n", " <td>6.5</td>\n", " <td>61060</td>\n", " <td>866.0</td>\n", " <td>46.0</td>\n", " </tr>\n", " <tr>\n", " <th>888</th>\n", " <td>889</td>\n", " <td>Piranha 3D</td>\n", " <td>Comedy,Horror,Thriller</td>\n", " <td>After a sudden underwater tremor sets free sco...</td>\n", " <td>Alexandre Aja</td>\n", " <td>Elisabeth Shue, Jerry O'Connell, Richard Dreyf...</td>\n", " <td>2010</td>\n", " <td>88</td>\n", " <td>5.5</td>\n", " <td>75262</td>\n", " <td>889.0</td>\n", " <td>53.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Rank Title Genre \\\n", "858 859 The Hills Have Eyes Horror \n", "864 865 The 9th Life of Louis Drax Mystery,Thriller \n", "865 866 Horns Drama,Fantasy,Horror \n", "888 889 Piranha 3D Comedy,Horror,Thriller \n", "\n", " Description Director \\\n", "858 A suburban American family is being stalked by... Alexandre Aja \n", "864 A psychologist who begins working with a young... Alexandre Aja \n", "865 In the aftermath of his girlfriend's mysteriou... Alexandre Aja \n", "888 After a sudden underwater tremor sets free sco... Alexandre Aja \n", "\n", " Actors Year \\\n", "858 Ted Levine, Kathleen Quinlan, Dan Byrd, Emilie... 2006 \n", "864 Jamie Dornan, Aiden Longworth, Sarah Gadon,Aar... 2016 \n", "865 Daniel Radcliffe, Juno Temple, Max Minghella, ... 2013 \n", "888 Elisabeth Shue, Jerry O'Connell, Richard Dreyf... 2010 \n", "\n", " Runtime (Minutes) Rating Votes Revenue (Millions) Metascore \n", "858 107 6.4 136642 859.0 52.0 \n", "864 108 6.3 6175 865.0 41.0 \n", "865 120 6.5 61060 866.0 46.0 \n", "888 88 5.5 75262 889.0 53.0 " ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md[md['Director']=='Alexandre Aja']" ] }, { "cell_type": "markdown", "id": "cc3e4d5c", "metadata": { "papermill": { "duration": 0.095825, "end_time": "2021-08-07T19:04:02.752511", "exception": false, "start_time": "2021-08-07T19:04:02.656686", "status": "completed" }, "tags": [] }, "source": [ "- Even though ‘Ridley Scott’ directed highest number of movies, when it comes to total revenue generation he is in 3rd place.\n", "- Where as, ’Paul W.S. Anderson' generated highest total revenue of 3715m with 6 movies.\n", "- ‘Alexandre Aja’ with only 4 movies is in the second position of total revenue ranking.This makes him the most successful director than any other till 2016." ] }, { "cell_type": "markdown", "id": "ee27cde3", "metadata": { "papermill": { "duration": 0.07413, "end_time": "2021-08-07T19:04:02.899979", "exception": false, "start_time": "2021-08-07T19:04:02.825849", "status": "completed" }, "tags": [] }, "source": [ "<a id=section407></a>\n", "### 4.7 Do all the parameters(Votes, Metascore, Rating) speak the same about a movie?" ] }, { "cell_type": "markdown", "id": "1637f614", "metadata": { "papermill": { "duration": 0.074638, "end_time": "2021-08-07T19:04:03.048861", "exception": false, "start_time": "2021-08-07T19:04:02.974223", "status": "completed" }, "tags": [] }, "source": [ "#### Rating vs Votes:" ] }, { "cell_type": "code", "execution_count": 38, "id": "6942e8fc", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:03.224871Z", "iopub.status.busy": "2021-08-07T19:04:03.222231Z", "iopub.status.idle": "2021-08-07T19:04:03.444731Z", "shell.execute_reply": "2021-08-07T19:04:03.445170Z", "shell.execute_reply.started": "2021-08-07T19:00:16.444737Z" }, "papermill": { "duration": 0.321291, "end_time": "2021-08-07T19:04:03.445367", "exception": false, "start_time": "2021-08-07T19:04:03.124076", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#plt.figure(figsize=(8,8))\n", "a=sns.scatterplot(x=\"Rating\", y=\"Votes\",data=md, ci= None) " ] }, { "cell_type": "markdown", "id": "c08026ef", "metadata": { "papermill": { "duration": 0.079339, "end_time": "2021-08-07T19:04:03.601213", "exception": false, "start_time": "2021-08-07T19:04:03.521874", "status": "completed" }, "tags": [] }, "source": [ "#### Observations:\n", "- Vote count is higher when the rating is higher. \n", "- Signifying, the movies which have better rating are also having high vote count." ] }, { "cell_type": "markdown", "id": "830105e2", "metadata": { "papermill": { "duration": 0.075573, "end_time": "2021-08-07T19:04:03.753937", "exception": false, "start_time": "2021-08-07T19:04:03.678364", "status": "completed" }, "tags": [] }, "source": [ "#### Rating vs Metascore:" ] }, { "cell_type": "code", "execution_count": 39, "id": "23be0ccf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:03.906690Z", "iopub.status.busy": "2021-08-07T19:04:03.905993Z", "iopub.status.idle": "2021-08-07T19:04:04.126196Z", "shell.execute_reply": "2021-08-07T19:04:04.126682Z", "shell.execute_reply.started": "2021-08-07T19:00:16.740487Z" }, "papermill": { "duration": 0.298648, "end_time": "2021-08-07T19:04:04.126849", "exception": false, "start_time": "2021-08-07T19:04:03.828201", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "b=sns.scatterplot(x=\"Rating\", y=\"Metascore\",data=md,ci= None)" ] }, { "cell_type": "markdown", "id": "cc5572cb", "metadata": { "papermill": { "duration": 0.077324, "end_time": "2021-08-07T19:04:04.280551", "exception": false, "start_time": "2021-08-07T19:04:04.203227", "status": "completed" }, "tags": [] }, "source": [ "#### Observations:\n", "- Movies with higher rating are having Higher Metascore.\n", "- Also, there are some handful of cases. Where Rating is low but, Metascore is average." ] }, { "cell_type": "markdown", "id": "e2680778", "metadata": { "papermill": { "duration": 0.075679, "end_time": "2021-08-07T19:04:04.432993", "exception": false, "start_time": "2021-08-07T19:04:04.357314", "status": "completed" }, "tags": [] }, "source": [ "#### Metascore vs Votes:" ] }, { "cell_type": "code", "execution_count": 40, "id": "254d3dbf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:04.588441Z", "iopub.status.busy": "2021-08-07T19:04:04.587819Z", "iopub.status.idle": "2021-08-07T19:04:04.804391Z", "shell.execute_reply": "2021-08-07T19:04:04.804833Z", "shell.execute_reply.started": "2021-08-07T19:00:17.011071Z" }, "papermill": { "duration": 0.296015, "end_time": "2021-08-07T19:04:04.805018", "exception": false, "start_time": "2021-08-07T19:04:04.509003", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAEXCAYAAACDChKsAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABslUlEQVR4nO2dd3wUdf7/X9v7ZlM2yQYIJRCIEqQpggdSEkEpQRGCiKLSlJ9ycncenKcCincXva939l7PU0RRkKIUK0URPJqI9E7qJptNNtt3fn9sZrKzM7tsllR4Px8PHg+yM/uZz3x25vP+fN5VwjAMA4IgCIJoJNLW7gBBEATRPiEBQhAEQcQFCRCCIAgiLkiAEARBEHFBAoQgCIKICxIgBEEQRFxcVgKkqKgII0eORM+ePXH48OGYvmOz2fCHP/wBo0ePxtixY/HCCy80cy8JgiDaB/LW7kBLMmrUKNx55524/fbbY/7OokWLcO211+KZZ54BAJSXlzdX9wiCINoVl5UAGThwoOjne/fuxT//+U84HA4AwPz58zF8+HCcPHkShw8fxssvv8ydazabW6SvBEEQbZ3LSoCIYbfbsXjxYrz22mtITU1FWVkZbr31VqxduxZHjx5FWloa/vrXv+LgwYNISUnBn//8Z/To0aO1u00QBNHqXPYCZPfu3Th79ixmz57NfSaRSHDq1CkEAgHs3bsXf/zjHzFw4EBs3LgR9913HzZv3tyKPSYIgmgbXPYChGEY9OzZE//9739Fj1ssFk71dcMNN+Chhx5CZWUlkpKSWrKbBEEQbY7LygtLjH79+uHUqVP48ccfuc/27dsHhmHQu3dvaLVaHDlyBACwc+dOJCQkIDExsbW6SxAE0WaQXE7ZeJctW4aNGzeioqICiYmJMJlMWLduHfbt24enn34a1dXV8Hq96NSpE1555RVIpVLs378fS5cuhcfjgUajwV//+lf06dOntW+FIAii1bmsBAhBEATRdFz2KiyCIAgiPkiAEARBEHFBAoQgCIKIi8vKjbeqyoFAoH2ZfJKT9bBaa1u7G20GGg8hNCZ8aDyExDsmUqkEiYm6iMcvKwESCDDtToAAaJd9bk5oPITQmPCh8RDSHGNCKiyCIAgiLkiAEARBEHFBAoQgCIKICxIgBEEQRFyQACEI4tJHAtidXpwud8Du8gGS1u7QpcFl5YVFEMRliAQ4eLoaz63YA7fXD5VChvlT+iInMwEgZ62LgnYgBEFc0tjrvJzwAAC314/nVuyBvc7byj1r/5AAIQjiksZW6+GEB4vb64fN4WmlHl06tJgKq6ioCBs2bMC5c+ewZs0aZGdnC87585//jEOHDnF/Hzp0CC+++CJGjRqF559/Hh988AFSU1MBAP3798fixYtbqvsEQbRTTAYVVAoZT4ioFDKYdMpW7NWlQYsJkFGjRuHOO+/E7bffHvGcp556ivv/b7/9hhkzZmDo0KHcZxMnTsTChQubtZ8EQVxaGDVyzJ/SV2ADMWoVZAO5SFpMgLBlYWPlk08+wfjx46FU0iqBIIiLgAFyMhNQNG8IbA4PTDolCY8mok16YXk8HqxZswbvvPMO7/N169Zh69atMJvNeOCBB9CvX79GtZucrG/CXrYcZrOhtbvQpqDxEEJjwkdsPMyt0I+2RHM8I21SgGzevBkZGRnIycnhPps6dSruvfdeKBQKbNu2DfPmzcP69esbVZ/caq1td0nWzGYDystrWrsbbQYaDyE0JnxoPITEOyZSqSTqwrtNemGtXLkSkyZN4n1mNpuhUCgAANdddx0sFguOHDnSGt0jCIIg0AYFSElJCX7++WeMHz+e93lpaSn3/4MHD+LcuXPo2rVrS3ePIAiCqKfFVFjLli3Dxo0bUVFRgbvvvhsmkwnr1q3D7NmzMX/+fOTm5gIAPvvsM4wYMQIJCQm87z/zzDM4cOAApFIpFAoFnnrqKZjNl7tWkyAIovWQMAzTvowCFwHZQNo/NB5CaEz40HgIuaxsIARBEETbhwQIQRAEERckQAiCIIi4IAFCEARBxAUJEIIgCCIuSIAQBEEQcUEChCAIgogLEiAEQRBEXJAAIQiCIOKCBAhBEAQRFyRACIJoHSSA3enF6XIH7C4fIGntDhGNpU3WAyEI4hJHAhw8XS0oM5uTmUCVAtsRtAMhCKLFsdd5OeEBAG6vH8+t2AN7nbeVe0Y0BhIgBEG0OLZaDyc8WNxeP2wOTyv1iIgHEiAEQbQ4JoMKKoWM95lKIYNJp2ylHhHxQAKEIIgWx6iRY/6UvpwQYW0gRq2ilXtGNAYyohME0fIwQE5mAormDYHN4YFJpwwKDzKgtytIgBAE0TowgFGjgFGj4P4m2hctpsIqKirCyJEj0bNnTxw+fFj0nOeffx6DBw9GQUEBCgoKsHTpUu6Y0+nEgw8+iPz8fIwZMwbffPNNS3WdIAiCEKHFdiCjRo3CnXfeidtvvz3qeRMnTsTChQsFn7/55pvQ6/XYtGkTTp48idtvvx0bN26ETqdrri4TBEEQUWixHcjAgQNhsVji/v4XX3yBwsJCAECXLl3Qu3dvfP/9903VPYIgCKKRtDkvrHXr1mH8+PG45557sHv3bu7z8+fPo0OHDtzfFosFJSUlrdFFgiAIAm3MiD516lTce++9UCgU2LZtG+bNm4f169cjMTGxSdpPTtY3STstjdlsaO0utCloPITQmPCh8RDSHGPSpgSI2Wzm/n/dddfBYrHgyJEjuOaaa5CRkYFz584hKSkJAFBcXIxBgwY1qn2rtRaBQPty9TCbDSgvr2ntbrQZaDyE0JjwofEQEu+YSKWSqAvvNqXCKi0t5f5/8OBBnDt3Dl27dgUAjBkzBh999BEA4OTJk9i/fz+GDh3aKv0kCIIgWnAHsmzZMmzcuBEVFRW4++67YTKZsG7dOsyePRvz589Hbm4unnnmGRw4cABSqRQKhQJPPfUUtyuZOXMmFi1ahPz8fEilUjz++OPQ69unSoogCOJSQMIwTPvS6VwEpMJq/9B4CKEx4UPjIeSyUGERBEEQ7QcSIARBEERckAAhCIIg4oIECEEQBBEXJEAIgiCIuCABQhAEQcQFCRCCIAgiLkiAEARBEHFBAoQgCIKICxIgBEEQRFyQACEIgiDiggQIQRAEERckQAiCIIi4IAFCEARBxAUJEIIgCCIuSIAQBEEQcUEChCAIgogLEiAEQRBEXJAAIQiCIOJC3lIXKioqwoYNG3Du3DmsWbMG2dnZgnNefPFFrF+/HlKpFAqFAgsWLMDQoUMBAIsWLcL27duRmJgIABgzZgzuu+++luo+QRAEEUaLCZBRo0bhzjvvxO233x7xnD59+uCee+6BRqPBb7/9hunTp2Pr1q1Qq9UAgDlz5mD69Okt1WWCIAgiCi0mQAYOHHjBc9jdBgD07NkTDMPAZrMhPT29ObtGEARBxEGbtYGsWrUKmZmZPOHx9ttvY/z48Zg3bx6OHTvWir0jCIIgWmwH0hh++uknPPvss3jrrbe4zxYsWACz2QypVIpVq1Zh1qxZ2Lx5M2QyWcztJifrm6O7zY7ZbGjtLrQpaDyEXC5jEggwKK5woNLuRJJRA0uKDlKpRHDe5TIejaE5xqTNCZDdu3fjoYcewksvvYRu3bpxn6elpXH/nzhxIv7+97+jpKQEHTp0iLltq7UWgQDTpP1tbsxmA8rLa1q7G20GGg8hl82YSICDp6vx3Io9cHv9UClkmD+lL3IyE4CQ1/qyGY9GEO+YSKWSqAvvNqXC2rdvHxYsWIDnnnsOV155Je9YaWkp9/8tW7ZAKpXyhApBEJc29jovJzwAwO3147kVe2Cv87Zyzy5fWmwHsmzZMmzcuBEVFRW4++67YTKZsG7dOsyePRvz589Hbm4uli5dCpfLhccee4z73lNPPYWePXti4cKFsFqtkEgk0Ov1ePnllyGXt7kNFEEQzYSt1sMJDxa31w+bwwOjRtFKvbq8kTAM0750OhcBqbDaPzQeQi6XMbG7fFj44jaeEFEpZCiaN4QnQC6X8WgMl4UKiyAIIhJGjRzzp/SFShF0nGFtIEYt7T5aC9IBEQTRPmCAnMwEFM0bApvDA5NOGRQe7UupcElBAoQgiPYDAxg1igaVFQmPVoVUWARBEERckAAhCIIg4oIECEEQBBEXJEAIgiCIuCABQhAEQcQFCRCCIAgiLkiAEARBEHFBAoQgCIKICxIgBEEQRFyQACEIgiDiggQIQRAEERckQAiCaDwSwO704nS5A3aXDxBWlW2ZNohWhZIpEgTROGIsLdvsbcRwDXudF7ZaD0wGFYwaOSVfbGJoB0IQRKNoitKyzV6etl5ALXxpO5a8uQMLX9yGg6eraZfTxJAAIQiiUUQrLduSbUSD6qe3DC0iQIqKijBy5Ej07NkThw8fFj3H7/dj6dKlyMvLQ35+Pj7++OOYjhEE0bKYDCquKiCLSiGDSads0Tai0dwCiggSkwCprKyEw+EAEJzMV65cic8++wyBQCCmi4waNQr//e9/0aFDh4jnrFmzBqdPn8bGjRvx0Ucf4fnnn8fZs2cveIwgiJalKUrLNnd52uYWUESQmIzoc+fOxdKlS3HFFVfgX//6F7755hvI5XIcPHgQDz/88AW/P3DgwAues379ekyePBlSqRRJSUnIy8vDl19+iVmzZkU9RhBEC9MUpWWbuTwtK6DCjfRUArdpiUmAnDx5Ejk5OQCAzz//HMuXL4dWq8W4ceNiEiCxUFxcjIyMDO5vi8WCkpKSCx4jCKIVaIrSss1Znpbqp7cIMQkQqVQKr9eLEydOwGAwICMjA4FAgFNrtReSk/Wt3YW4MJsNrd2FNgWNhxAaEz7seJhbuR9tieZ4RmISIMOGDcPvf/972Gw23HTTTQCAo0ePIi0trck6YrFYcP78efTp0wcAf9cR7VhjsFprEQi0ryWI2WxAeXlNa3ejzUDjIYTGhA+Nh5B4x0QqlURdeMdkRH/yyScxfPhw3HrrrZg7dy4AoKqqCg888ECjOxSJMWPG4OOPP0YgEEBlZSU2b96M0aNHX/AYQRCtAEWRE4hxB6JUKlFYWIhAIICKigqkpqZi0KBBMV9k2bJl2LhxIyoqKnD33XfDZDJh3bp1mD17NubPn4/c3FwUFBRg7969uOGGGwAA/+///T906tQJAKIeIwiihWmJKHKiXSBhGOaCP7ndbsfSpUuxYcMGyOVy7NmzB1999RX27duHBQsWtEQ/mwRSYbV/aDyEtPSY2J1eLHxpOy/OQqWQoWjekAaDeCsS03hESnNyiaY/aVUV1uLFi6HX6/H1119DoQg+IP369cMXX3zR6A4RBNG+afdBepHSnEgp/UljiUmA/PDDD3jkkUeQmpoKiSQ4mklJSbBarc3aOYIg2h7tPUgvUpoTq91D6U8aSUwCxGAwoKqqivfZ+fPnYTaTkxxBXDLEaBhv7ijy5ibSDspqd7XvnVUrEJMRffLkyZg/fz4efPBBBAIB7N69G8888wymTp3a3P0jCKIlaIxhvJ0H6bE7qHAbTrJRLfp5e9lZtQYx7UBmz56NG2+8EY8//jh8Ph8efvhhjBo1CjNmzGju/hEE0QI0OnttfRR5ZoouaDhvJ8IDiLyDSjYq2/XOqjWIaQdSUVGBGTNmCARGeXk5qbEI4hIgmmG8LXhWNSmRdlCB9r2zag1i2oFECtobO3Zsk3aGIIjWob0bxhtNpB1UO95ZtQYxCRCxUJHa2lrOI4sgiPZNqxvGKbK9XRJVhXX99ddDIpHA7XZj+PDhvGM2m412IATRHoglOK41DeMU2d5uiSpAnn76aTAMgzlz5uCpp57iPpdIJEhOTka3bt2avYMEQVwEjfSuarb06lGIZMBvK5HtRGSiCpBrrrkGAPDjjz9Co9G0SIcIgmg62sPkfFkZ8C8xYrKByOVyPPfccxg1ahRyc3MxatQoPPfcc/B4KMCGINoy7SHtyGVnwL+EiMmN9+mnn8a+ffuwdOlSZGRk4Pz583jppZdQW1vbZBUJCYJoeiIFzbWlyZnKz7ZfYsrGO2zYMKxevRqJiYncZ5WVlSgoKMCWLVuatYNNCWXjbf/QeAiJOibtxUDNGvqbwIBPz4iQ5srGG9MOJJKMiUH2EATRmrSXtCOtZMAnLo6oAiQQCEAqlWLMmDG47777MG/ePHTo0AHnzp3Dyy+/jBtvvLGl+kkQRLzQ5Ew0E1EFyLBhwzBhwgTceuutMBgMeOKJJ1BWVobU1FSMHTsW8+bNa6l+EgRBEG2MqAJkyZIl+PzzzzF58mRkZWVh+vTpGD9+PJKSklqqfwRBsFyi1fKI9ktUAZKXl4e8vDzY7XZ88cUXWLVqFZ5++mn87ne/wy233IIRI0ZwFQoJgmhGohnDCaKViMkLK5QzZ85g9erV+OSTT+B0OrFjx46YvnfixAksWrQINpsNJpMJRUVF6NKlC++cP//5zzh06BD396FDh/Diiy9i1KhReP755/HBBx8gNTUVANC/f38sXry4MV0nL6xLgMt1PKLVIc/KTLr0xuQidluX6zMSjVb1wmLxeDzYv38/9u3bh4qKCvTr1y/m7y5evBjTpk1DQUEBVq9ejcceewzvvfce75zQdCm//fYbZsyYgaFDh3KfTZw4EQsXLmxMlwnikqA9BAQ2Ge3F9ZiILRJ9165dePTRR3Hdddfh2WefxVVXXYUNGzbgP//5T0wXsVqt+PXXXzFu3DgAwLhx4/Drr7+isrIy4nc++eQTjB8/Hkpl2wl4IojWotWjtVswW26jiltRFt9WJeoO5Pnnn8fnn38Om82GMWPG4JVXXsGAAQMafZHi4mKkpaVBJgu+ADKZDKmpqSguLhY1yHs8HqxZswbvvPMO7/N169Zh69atMJvNeOCBBxq1AyKI9kzUaO3mpoV3BDHnxorQr+SkyCoXommJKkD27t2LBx98EHl5eVCpVC3VJ2zevBkZGRnIycnhPps6dSruvfdeKBQKbNu2DfPmzcP69et50fEXIpoury1jNhtauwttist1PJKT9MjqaEJljRNJBg0sKTpIpcEld3OOybmyWtEdwbN/GI4OqU3/TnkYiWj6lfRkPczmhutF6ldWRxM6pDb/MxIIMCiucKDS7kSSkf97tEWa4xmJKkDeeOONJrmIxWJBaWkp/H4/ZDIZ/H4/ysrKYLFYRM9fuXIlJk2axPsstHTuddddB4vFgiNHjnAZg2OBjOjtn8t9PJQSIN2oBsDAaq0F0PxjUlLhEN0RlFhroZQ0/fuklEJ0t6WUMrz7jNSvyhpns/SLRzuz0zSXET0mG8jFkpycjJycHKxduxYAsHbtWuTk5Iiqr0pKSvDzzz9j/PjxvM9LS0u5/x88eBDnzp1D165dm7fjBEG0vP0lJP3KklmDUDRviOjEHKlfSYbmLz3RKDvNJUyLCBAgGJT4/vvvY/To0Xj//fexdOlSAMDs2bOxf/9+7rzPPvsMI0aMQEIC37/9mWeewbhx4zBhwgQ88sgjeOqpp3i7EoIgmodWKXcbQ23ySP2ypOiar1/1XFZecVFodBxIe4ZUWO0fGg8hLTImTZgtt0kR6Zc5pfnHw+7yYeGL20TjctpiEax2rcIiCKKdE8OOoFVo7n5FcBNulV1ZG6RRgYQEQbQwlP8qfi527C5gKG8XafKbGRIgBNFWaWeePm2KJhi7C9aTjzVN/iW8CCAVFkG0UcjTJ36aYuyaxFBeL8gWvrQdS97cgYUvbsPB09WXTMQ8CRCCaEqaMLUGefrEQITxboqxawr35Ut9EUAqLIJoKppY5cROYOGePk0af9Ge1StRUpk0xdhFTR8TbYxCxtQXYGJLy9JOIQFCEE3EBXXmjSTuCSxW2rmNJdJ4Z3U0Nc3YxWMoDxvTqfk9m2YR0EYFPQkQgmgiYk4CGCvN7OnT1ALvgjTxJBhpvCtrnEg3qptm7BpZTz58TDfvPIWp+dlYvulw/IKsDQt6EiAE0UQ0i8qpkRNYY2hygReNZpgEI413MJUJ06xjF4nwMa2wubBu+wk8OnMQfD5/XIKsxQV9IyAjOkE0Ec0eXNYYA30M57ZkjqvmMCa3eCqTOMe0xuGFXiWLO9ixLTtT0A6EIJqK5lQ5NaYmeoyr/Wa3sYTQLLsdBsjpnIBlcwfDanch2ahGslHZPCnVm2pM41DjtYgzRZxQLqw2DuV+4nPJjEe0iUTkmL0u9pro0eqnCybrFspx1Sy5oyJM6r/r24FLdd9UNMmYxqvGawL1X5uoiU4QRBNwgd2E2DGdRh6zGiOu1T4DQNJ80W3NsduJ5oWllKBJjfaNGtMItpe4bRltOG0KCRCCaGGiTSQAsHbrMcwv7AuX2w+NWoY13x/DPeN7x6zGiFnl0ZLePWKToE4BuyP+CT7SpH661I70JC1KrXU4dt6OAMNAKpEgK8OIrAxDq8XkXJQarxUcAmKBBAhBNBcRVsDRJhKVQoqRV3fGcx81TOqzCnqDkQRiroke62o/kiB7dOYg6NXypo81CJ0EJcDBUxcnvCJN6kfPVKO4woFAgMFn3x7l2p+an420JA30qsZPe02xg2rLtox4IRtIG+eS0fk3Ee1mPKKs7u3OyPYAly+Axa/9KDi2dM61SDWqRHXromMSg23jdIUDS97YIej69DG98PFXR2Kf0ONQFTXKphDluuFjXJifjfXbT2DmhN7494e7Be0/OnMQMkzq2NoXuR5vTBu7g2rFeA6ygRBEOyKqvluriLiaLTlnF9+d1LiRalBFVmOITOIXUnno1ArRFbElRRe7fr4xk2JIHxUKGQw6Bdy2hmvz1DmxCKUQtVhJlRPHz9mxfvsJVNhcCERIIVLn8sLuirK7inbdi91BtWFbRryQACGIZuBC+u5IE0lyglp0Uk82Rl41BwJMXCtbt8eHwvxsfBQSJV2Yn42yqjpBfyMRs2FYRNDcNTYHdW4f3N4AAGDL7rNBdU5jhFL9pA6JBP8K2XHIZVLRcQwwwMIXt4m314jrXoxBvC3aMuKFAgkJohm4YJBehEp6yQYl7r0llxccd+8tuUg2RtaTF1c44grS02uV2LTjFAqGZWFKXjam5mcDAIxaFabkZcOSrL2gfj7WILfwCdegU8Dl8WPF5iNYsfkwVn93DFPysoNqoTiCDsODCkusDkwb3Ys3jtNG90JxeW3E9hpz3Qq7W/S+K+zuqOPVKJows3Nz0WI7kBMnTmDRokWw2WwwmUwoKipCly5deOc8//zz+OCDD5CamgoA6N+/PxYvXgwAcDqd+Mtf/oIDBw5AJpNh4cKFGDFiREt1nyAakAJWuycYvJagRrJBCQT4p8RtdA0AV3VPwtI516LS7kKSUY1UkwrwR/5Kpd0Zl3ePUSPH9DE5eG7FHhh0Cowd0pW3G5ld0BsyefQ1ZqyG4XBBM3JAJpcfiu3vK5/uD+7K4nRDZnd1dV4/9Co5SiuduHl4d84LSyGX4NNvT0RsrzHX1ajkovetjsNAL0rYbsiSrMW9t/QBwzAw6S8cN9RSO5sWEyCLFy/GtGnTUFBQgNWrV+Oxxx7De++9Jzhv4sSJWLhwoeDzN998E3q9Hps2bcLJkydx++23Y+PGjdDpmiltAUGIIQX2Ha/Cyyv3cRPtfZP6oE+3RL4QiVffLQEOnmycOirJqBFMZpZkLXRqBU6XO2AyqCCVAJV2N3+CCemj3enFk2/v5E3or6/+BY/OHASdSSZ+YcQuKAWCRoKIk/VFeysxQIABsjoYYDapUVHjxtEz1fj026OosLkitteY6xq0CkGSxKn52cGxbQJCd0MpJjXyB3XG397ZGXPcUEslWmwRFZbVasWvv/6KcePGAQDGjRuHX3/9FZWVlTG38cUXX6CwsBAA0KVLF/Tu3Rvff/99s/SXICJhrfFwwgMITnovr9wHa41IXqIIaqpoxKO+saToeOobS7IWU/Ky8cirP3BV8H4+VI4XVu6NWBHP6faLTuguty96h0PSiSy6cyCWzR2MnM7CyStcxSSVSCKq+KQSYGp+Nk/9NDU/O3qKkpDKfw+/vD14n6eqYdQq0C1Nj06petQ4vFx7Yi7QYrm1/jStPwAI1Eh6lQwdzXrcPLw7puRl4+bh3dHRrIde3TQCJHQ3NHJAJrczBPjPRGsXrGqRHUhxcTHS0tIgkwV/GJlMhtTUVBQXFyMpKYl37rp167B161aYzWY88MAD6NevHwDg/Pnz6NChA3eexWJBSUlJo/oRzR2tLWM2G1q7C22KxoxHIMCguMKBSrsTSUYNLCm6i8qVdLTkvOhEW1XjRq8uyXG3y1JytFzce8jrR1ZmUoRvAb/r2wFZHU2orHFCpZDj4Ze28SaV5ZsOo2BYFlZ8dRjPrdiDZ/8wHJYUHX7YX4x/ffg/FOb3EF19Z5j1Ucc7EGC4NtgV8ANT+sKcqEaCTs0b7+QkPdfHZKMGXSxG3vcW3NYfXTsm4sDxCqzbfgIFw7KCEzYDrNt+Aj27JKJrx0TB9YsrHCgur8WZslrOs4udSJ/9w3B0SNXzrp1kiPwchPfxxHk7527M9nFwrgVSqQSJJh2STBpYq51ITtCgW0YC5BdQ+cWKh5E0/B4RdmsOjx8SiB8Te16aYx5pU15YU6dOxb333guFQoFt27Zh3rx5WL9+PRITEy/85RigOJD2T6PGoxn87rURdN8albxJfqdI7WsVsojtm80GWK21UEqAdKMap8sdopMKu3p2e/0osdbC5fJwE/gP+4sxe2JvvL7qF26s7r0lF2o5ot6X3enl2mDbfn7FHhQMy8Lq748JxpvtI8Agu4NBoOKzWmuhVclR4/BixVeHo49BlDiQCpuLu0+lhBFcO1quLPY8u9MjuLd/ffg/pCcGXbGbU3WklIJTDbL3H/5MKGVSKOTi3mbhY9VccSAtosKyWCwoLS2F3x+8Sb/fj7KyMlgsFt55ZrMZCkVwW3ndddfBYrHgyJEjAICMjAycO3eOO7e4uBjp6ekt0X2indIsKcR1SlH1SkITpWyPmhI+Rq+cSB5g7MTGqopC1ST9stOw8usjnEdWwbAsrNh8GHZH9LGKZHhmV8288Q7vP8RVfLGOgbXGI/h9P9p0GCMHZPLuM16iGdWbXXUUYp/qmWnCzAlX8sajMD8bbq+v+UsIXIAW2YEkJycjJycHa9euRUFBAdauXYucnByB+qq0tBRpaWkAgIMHD+LcuXPo2rUrAGDMmDH46KOPkJubi5MnT2L//v34v//7v5boPtFOaY4U4qG6b9a7h9N9XyAKOSZPmUjGdwDHzteI53YKQ8ywPTU/G+u2nwibjBvUJEqFFMXWOt6qH8AFxyqS4Zm9N268I6zYO6Xqohr3w8eAXy42O6LwalSqkQi/TTSjeosU4wqJcXlj9S88ld6mHafQv8eAVg9ObDEV1pIlS7Bo0SK89NJLMBqNKCoqAgDMnj0b8+fPR25uLp555hkcOHAAUqkUCoUCTz31FMxmMwBg5syZWLRoEfLz8yGVSvH4449Dr2+fNg2iZWiuCoFZGUHvnnjrZF9Q3REW8Wyv88LpC+Bsea1obiezyPfDJxWpVIKuGUZef0MFTUaKTnSsdOrok6GYsGLVSGwbJp0y4or95uHdsXzTochjEpIlOLyNACOu2umXbcaQK9Ni93qL8NtE9TCTSGBJ1mJo347cTpALhGxiQt2tRT3dWjE4kXJhtXHIBsKntW0g8RB33qeQ/s8v7MslWAxt49GZg3BVD3P8z0i9gLLWuHGqpEYQlZ7dKQEZidqI37PVepCUoEbAH4DN4YFEIsErn+5DsbWON96nyxxY8qYw79aUvGys2HyYPyYRdis6jZyXuyvFpMZNYbErvHogMez6LvjbRMopJgX2HqvEK5/u59mMrspKEsQENQkXWbeFcmERRGNpI7mH4lV3hK64XfG62YoRPrFqL6AmCftOUoIaZ0prI9YzWTh9gCDhoC/AYGp+T2zeeYoXixH6W7BjAkB0t7Js7mDejqPC5sKmHaewbO5gOFxe7veVSiUxLx4u+NtEWN3bHV5OeLDfYQMhL6ZAVkx5uEL60dqQACEubdrAi2cyqKKrO2JI+17tcImqa1KMqsZ1JtLE2jkhspoE4baHnpwqDRDmgQpVvx0712C30ahkuO+Wq3DifDV8fgYJOgVWfnuUdz9KhTximhC31ydQKU0fk4NkgxLJ+oYUMUDsuariVXM2uQ2kjeyWGwsJEIJoZoxaOabkZQvUHUZdcIUbaeIIFTyBAPDH2/vj7TUHeOqhxnrbRJtYI+3W7M5w24N4ptvwybPW5RO123z540nUOLx4YHIf3DSkK1weP6QSCYw6BQ6droTbExAVuHq1AhlJ2ph2lLFO8PGmnInbvhZhsRB3csZWhgQI0T6of/FKjpZDq7qIYketkDcomroDEFfXFM0bAqNOIRA8swp6o9bpgdsTgDKOoDWbI/rEKrZbE5uMY5k87U6fIN8VG9D49c+nUW5z8ewX00b3Ahjg599KMGlED7y++hehwA3EtqOMeYKPU80ZVfAgwjMWZZfRIl5dzQAJEKLtI4niwtqYyb+V1ASRJocKuxs+fyDixAFAIHhYO8WKrw5zxl6BF1YUItUAieZtFT4Zf73rtCAPlNjk6Q3w7y3FpMbIAZlIS9Li7nFX8pwC3F4/PtjwG6bk9UC/7DROeLDHGmtfiGtnEeLxdUFidDUOfcai7TLaa7VCEiBEmyeSKqSx5UlbS00QsfTq2WoEGKbRsQahEeXhadMvRKQaIG6vD4CwZrq9zovqOg9mFfTGG/WTeo3DC7VShmX3DobD6Y04ec4Ym8PdW7jHVKQYDrc3EDXR4oW81kJ3qTldgjm6rHYXko3qYEr8cA+pi1lUiNjX7E4v3v/yYIMzAoD3vzwYdCyIssvINOsuumRua0AChGjzRFKF9MhMbJQAaZSaQMxNNU61V7TAPgCCCZ1N4KdQyKIG6cUSpxGOXqvEzgPFmF/YFy6PH2qlDGu3HEP/HimC+w9PJ77gtv44W1YDjzeAld8exf23XoXMlPps2CK2knXbTmDa6F74YMNvgoSAkWI4wARdRxu9GhcRBPfekosVmw8LXIpjqQsf76Ki1ulF/qDOAgFd6/JG32W0EY/BxkIChGjzuNy+JnFhjVlNEKIyUymlKK92cavvuNReYZODXC7Dv5f/j3Nn/WH/ecwv7AuJBEhL1KLEWoeFL22HQSdMGc7aQKbm94Q5UQ2vP4D9jbALGbVyjBvaDWdKaznPqGmjewV3MhJJRKNusbUO//rwfzz12YVqflTYXNi69ywWz7oWtloX79jXu04LBOf9k69CokEJo1aJTqn6Rq3GxQTBK5/u5/obSTA0te1BpZQLMud+tOkwls0dfGG1WhvwGGwsJECINk9KhDKvjXVhjVUvHqoyKxiWheUbf7n4FWrI5GB3+bjU4ikmNQbnZnD2gFAXWbfNj+37z+P3hf0gkQA6jQIfbjiIg6dsUClkmD2xN55fsQfF1rroBYdCqHX6UFbp5K5hSdbCMvZKnC2rgc/PcLalaOqz0F0SW2/EqJELBHSKSY0huRlY+saPKLg+K6YYDrbPEVfjMbg8h/c39O/wmuu+AIMZY3MABnB6gt+/mIhyh8sr2g+Hy4tkvTL6LqMVC0PFCwkQovm5yBfjghN/tPbDjuV0bniBkwwqBAIMTpc5+C6VoSqzePXxUe479H6Eqh2GNwEPzs3Asx/t5qlDyqtdqLC58PqqXziPpjGDuwgKDonlmQq9N7ZQUWhKdda2FGm31rtbEgZdkcbtkkKv1zlDj9kFvTkDeN7Vnblrie04eDEcguDG+qkp1LAdwV7RKVV3QXUf+3ekmutT87Px9a7TqHF4eR5fjcWkv8AuN9Iuo53GgVAqkzZOu09l0lQvRv0EU+f1Q6uQ8YRHxPYR37HjJbVY9vZPAIKpNlZ/d0wwITQmDYnofbMG3yon/vHeLu5rd97UCx9tOgK3148po7Kx+nvhtVm1DNs/lUKKFZuPCM4rzM/Ge+sPCu7tlc/2YeSATHS2GCKmR8lIVPM83zQqGTLTjDhxvhoZKXpOqIV+b/Gsa/H8it1c/EZaohbPf7yHO6dHpwRMvL47JBLAnKBpMGqL2FvC3ZfnT+mLDmYtFr4oTDty8/Du2LzzFMYO6cpT9829ORcff9VgA2FTjdgd4ulLwr3bWjIgMO50NzFCqUyIdkmTGSnrV25ZmUnBFyGGiGMgcoxFtGOhKjOxlXMs3jH2Oi/Wbj0WNFa7/dCoZVjz/TF0mJjLS5ERmhEXACSQcHaPSLsfVi3DrrBNerXoeWlJwYkYaPAESk3UcBNtwfVZMduW3J4Ayiod+PLHk8i7OlP0e9UONy+jb1C4NXhhharqorm3Du3bUeC+/NyKPfjT9P6i15XLJKiwubBu+wncPLw7emaaoNco8MnXhzH9xpzg+KtkWLPlGLqmR1fPsf+PO/4iTmM4xYEQhAjN/WJEax9MZPVTtGOhLpWsrv7hu64O2hdinBCcHh9GXt2ZN2HOKugNp9cXNRLa7fVj887TKBiWhS4WQ0S1TKiX0R035Yied6a0Fis2H+Z5AqmUcp5Hm6htKUEl6jo9q6A37rrpCkhlwUy0xdY6/veMal4EuVopxV1jc/DOuoMRy7KybrYF12fh612ng44FEQSnWilebMtS7wlWYXNh+aZD+Nu8IXB7fOjZJZk3/hfyhgITVBvmXd0ZPj8Du8sXnx0iDmN4e40DaZGCUsTlS6TiRk31YkRrP95joavIJbMGYeH0AeiUom1UbXOJVMp5bgENQYASSf0rxxZGKnOgg1mHp++/DktmDcKAnqlcNb631hxAYVjxqvsnX4U+3ZNQNG8IEvUqXN+/E5RyqaDI1V1jc6CQS4LFoa7PwqYdp6BSyFFV05Bnit1dhX5v9sTeqHZ4UF3nFbhOv7H6F5wurcWzy/fglhE9YEnWct+bP6UvNBoZJo3sgdXfH8OKzYfx0aYjMOiUWDrnWnS2GESFws+HyvCP93Zh9XfHcNOQrkgxqbk2w38biRSC/hbmZ6Osii/IkgyaiN5QKoVctAjT1Pxs7D5cirFDuuKzb49i2ds/Rawf3xy0dmGoeKEdCNGsxJtrqEnaB+I7Fu5SKQWsdk8wIC1BjWSDSEBaGLYa8YSAtho3Uo2qqLaZWHY/dqcXf39vF6ceumV4d67IVXbHBJyrcHB2kdBgQaNOya10K2wurK9X+3TtYAQTAN5dF8y1NX9K34hqHlaYLJl9LapqXEgyqpFqUuG81cWVxAUAg04Bj9ePymo3NBFK9XZKM3Bqtk07TmHkgExs2X2WZ4xnJ3iNQo5NO07xMgbvPFCM8UO7Y0peNpehwJKiQ4m1lnctNgreandBIZcKggzVKhl6ZCbiiTd3RFa3NqeXFMWBEIQIzf1iXKB9wbH69OK2Wg86pekv3K846z4kR3A9TjaqL2gXijpeIvmpKmwufPrt0WCakGQtNGoFPthwSLD6fuSea+DzBTBjbA7eXXcQbm8wqlypkELCMHjmwwbDuK1WPPsve32314+9R8qxfNNhbkySjCre+ZOGd4dCJsXp0hrIZRL8YVp/vLO2IRnkrILeeP+Lg9zfhfnZ6JxuwJDeaah1evH7wn5wun3QqOXQKmVINChQmN8TL6/cxxnbJ+dl87zU5k/pC4DvDSVWN0QsyDBBp4isbm3mGujsb9vkcSBNlUMuAiRAiOanuQOkorUfekwCHDwVZRIQ6ZfV7hFNhLhs7uCGFOKhsPEFPj/mF16FM6UOLn9XpzQdko1KnC51RLcLhfVZLCJep1Xw7BAVNhdWf38MBcOyIJNKRNvff8yK1d8dw7TRvTA1PzsY98AEV/733tKH9531209i+o298P4Xv/F2MaGVBgOBhrZf+XQ/ls65lid0OqUbcOS0TWBHSU5QQyZtKDzFtsEF3GkVKLe5cLq0hpf7rLbOh482HeJ2IJ3TDYJ8Ws+t2IOsjqaortJsf8ODDMPrjbD3Ga2iYovsTuKlBVyDSYAQlw3xeIRV1rhEJ+PKGrdQgIS8sAadArcM786bPOdP6Rv0mhIJuMu7ujPc3gCsDk+DiiysvXA31fBVNBvJrZDLRNOhs44DH2z4Db8v7IeTJXZIpRJMv7EXtGq5wACuU8tx8/DukMsk6JhqwLvrDqDC5hIIE3ZMauo8uPeWXE7g+vyMqB3l4buvxpHTNp4Rnj3ucHmhUkhFc5/p9UqBl5f4b+NEulHN7eRKqpxRva5Crx1JrXm6LIrQv5jdSTMKnpbI/dZiAuTEiRNYtGgRbDYbTCYTioqK0KVLF945L774ItavX8/VRF+wYAGGDh0KAFi0aBG2b9+OxMREAMCYMWNw3333tVT3CTHa4qorCvF4hEUKDEvQC4tB6TQKrN0a3AV07WDEv0NUQryXV6vgJqpIgoGNV2AngIIBWYLJmN0JeQMBfmyMDJg8KhuvfsZPA79xx0nuu6dL7ZyH1v2Tr4LP70fhDT3x8if7eJM2W0GQFXLdOyZAr1Hg3XUHMHJAJr9eh0aJtz4/wO0QWK+y8PF2uf3w+AKi4yqXy0QN+MvrVXBi3wn/WwIJ50El5irNntc5vcH+smX3WcjlMnRKU4uqD6N5ScU9UTfzDqElXINbzAtr8eLFmDZtGjZs2IBp06bhscceE5zTp08ffPLJJ1izZg3+9re/YcGCBXC5XNzxOXPmYPXq1Vi9ejUJj9am/uFf+NJ2LHlzR3SPFdbjqNwBu8sHSMP+bgEvFyCyx5ZcLovYD6/PL+r54/b4cL6yDgdO2bgxeOTVHzDy6s7YsucsTpy3i768xVVO2J0+LiL+94X9RAVDWbWbt3JWKqSi7VXXuyRDIkGty4fT5Q5Yqz2c8GDPe2P1L+iXncbdQ6j66YWP96LS7uGEB/v58k2Hg0ICDS6yPn8AvoAfI6/uzHlbrf7uGG4Z0QNen4/bIazYfBg2uysYFDgqG1Pygv8syVpU1bi4lPDhnlD/Xv4/lEfYMbg9fp6n0pbdZ3HvLbmCNv7vg5+557HW7UNtnQf3T76Kd97cm3Px/hcHuf5PGtED7647gIee34pzFXXINPM97qJ5SUV1JY9CJMFjr/NG/V6sNLcHJNBCOxCr1Ypff/0Vb7/9NgBg3LhxeOKJJ1BZWYmkpCTuPHa3AQA9e/YEwzCw2WxIT09viW4SjSDmVVecWVLZ7wp2OBdBpKy4/17+P9Q4vPx+1HteBeptBOG1wj39OyEQYHiR4uxEXTAsC4D46vjEOTv+/eFu7lqR1Cvnyx1gGHB1xDNSdKLtHT1bjeWbDnH3sm77iYiBfmweKzH1U6Sa66xQZXcgDmfQqC3movzIPdfw6p5v3nkat47sgddWNXhTzZnYm6tI2NEcdGKosLtx9Gw11m0/gQqbC7Zal6gKLsUYrN8e7hQh1gYQDBS9eXh3LN90CDmdTXhs5iDU1Hlg1Cm5HGJs/1+v/92OnKkWf46jOGvEG8MRqXRvhd3dJDuE5vaABFpIgBQXFyMtLQ0yWVAaymQypKamori4mCdAQlm1ahUyMzN5wuPtt9/GRx99hE6dOuGPf/wjsrKyWqL7hAgX3B7XT/61bn9cWVIjFZFKToqcVuGChEwCkSYcthIg63klpmK6a2wO6tw+mPSaiJOuWAQ7O3GH3nMkb62yKieWbzoES7IWsybkwh8IYOaEK/Hm5wd4wo9NCc/uGAqGZUVMld453YD5hX3x/hcHuXtmj2lU4rmkpBIJUkxq3hhEquXBGunZfg3olc4JD/ac11b9gkdnDoJe1aBys9V6sHzTIa6tH/YXY9LIHpxLMLvoEK1IWP93eBvs9QIMgxSTGldfacHj9S6686f0FbW/XDASPYKzRrwTdSTXZjVbouBiVcQhz7sgBVAT0SaN6D/99BOeffZZvPXWW9xnCxYsgNlshlQqxapVqzBr1ixs3ryZE0qxEC2nS1vGbDa0dhcEeBhxvXJ6sh7JyTr8sL84mP47QrqMcANmndePrMyGxcT58lpRQ2qm1YGMixwPM4C6o+XYvPMUp8fXqGQIBBiUVrvg8TNYsTk4Wbptfi5FRveOCTDqlTh4ohIrNh8RZJhlx6BzugEjB2ZCIgkGvqUlaXGquAbrQ4SV2+tHVa0HGrUc827tg5dCbA/TRvfCmq3HkGJSY/zQbjhZHBSiOrUcf7p9AE6V2GFJ0eHttQd4guBCwuvttQcABN1rqx1eTjAbdQp89t1RwXfmTOyNWqdXUD0wWi0PVpAtmX1txDT8Uil4v7U7wG+vX3YaL56EXXQ8+4fhSEvS4vj5alRUO5GSoEG3jATI5dKIz2PndANuy++FcpsTBp0Cbpv/gi7K7HNsNusRCDAornCg0u5EklEDS4oOUqlQ15mcpEdWRxMqa5xIMkQ+LxRvSNqa0GfcbNLw3iH22ILb+mNwruWC7YbTmIqVjaVFBIjFYkFpaSn8fj9kMhn8fj/KyspgsVgE5+7evRsPPfQQXnrpJXTr1o37PC0tjfv/xIkT8fe//x0lJSXo0KFDzP2gZIpNh1IqHoinlDI4cbaKe/CByJNN6N9ahYx3n+U2l6ghtVeXJCjAADKgzOZGZX1wnzlBBbCXiGHlptc07CzYXUZ44B074bP6/0V3DoSEARdjITZRs7p1Vj035+Zc6DVyQVJES7IWTrcfJ0vsSDaquSBAqUQChTw4QYwd0hVuj1/gBpuepIVEIoFCxjdhsuManipdIgm6zFbYgqohjVqBd+rjQFiBVVXjxqYdp7Dgtv5wuX1INKo4N9twbyex+5454Uo4XF5MyQtmta2udUfcXYX/1l6vjzeRSqXiqUxKrLU4eNIqGpMj9jzOFokzWb/9BNZvP4lpo3tyv6MlWYsZ9Sntp+b3RFaGEUopg/KKmkYZuZUSIN2oBsDAaq0VnhCGQgJ0NOt5v31Hsx4KifAdcnv9+NeH/0N6YnweVO06mWJycjJycnKwdu1aFBQUYO3atcjJyRGor/bt24cFCxbgueeew5VXXsk7VlpaygmRLVu2QCqV8oQK0cKI6YTrg/RC9fpikw1rAwHCUjaEZKl1OMXrKrjcPkCmwp4jlTwvo7k356Jvj2BwXywvfcAf4CYsMQ+nj+rVQazLKBsEGFrvgY3kLhiWhcx0PQxaJZZv/I2nW3/ts/2YkteDNwaWZC0mjeiBZz/ajYJhWfjwx0Ocvj/AMFiz5TjuHnclNEo5iv6zS9TGsvr7Y4Jss6zqSKUIS5UuBf5wW39Y7S4kGlT493K+d9gHG37D/MK+qLA5g4kJq50w6pXw+oOWdrVSyhMEoQLKXueB18dwEexsP4orHHh33a+4b1IfLvAvkmqn0u7GuvpxhATITBPPAaZWyfHKu/zxCI3JCVXXKKRSvLXmF54dhY10X/HVYXz5w0ksmzsYbq8PVTUe3kqfDUa010UuT9skXkwMkJVhgNmkFthV2ktyxRZTYS1ZsgSLFi3CSy+9BKPRiKKiIgDA7NmzMX/+fOTm5mLp0qVwuVw8D62nnnoKPXv2xMKFC2G1WiGRSKDX6/Hyyy9DLm+TGrhLi2ir+QhBeqGqnQqbCz+wRZGkQIpRDbfHh+v7d+JWXUp5Q34odvIvzO8hOomkJetQZnMLvIxe/SwYyKaWS6Mb9+uN4+XVTi6Bn1jyPoNOgS4WA5cigw0CVMiFkykbwLf6+2OYMTYHA69Ih9sbnHy/3nUabm8AW3afxYLb+kMiAQxaJZa+8SPc3mCWXrESqBW2Ojhcfhh0ChQMCE5gaUlqmE061NR58NisQfhm5yncN6kPfjleCZUiOIazJvRGeqKGn+4+LHgydHfFjhHDMEg0qLg67YdP2zBpeHes/PYoJJDgrrE5PLVXgk4BlUKKZIOKl4ac3SlOyesBrz8Ap8vLW2Fzv3UIJoOKy/8FBA32bClcts/3T74KtXXik6rV7goKypCMzXsPleLqKy2CXZJWJed2GckGJex1Ejzx1k7R5yVaedomm8Qj2FXaS3LFFpuBs7Ky8PHHHws+f/3117n/r1y5MuL333nnneboFhGNGGtasDEQ7GpNo5JxBl+DToEhYUWRQuMLgIa6B0BDivVwNQM7idTUBT1XMtP1QbfUEPuFtdoFk17F6bpZ3F4/SqqckMqkOH7ezlsRh04qoTEPY4d0xbMhmVzvn3wVzlfUwahXCVQl7IRs0Cng9vh5qrCp+dnomKoHmGCeqT/c1h/VjoaJMDVRK4im/mjTYTx819Xw+vzQKINqtsx0PUYP6oIn3/6Jt+uSy8DbzXGCMkq6e7HdVZJRjUOnqgQ2p/G/64YAw8DjC/COTRvdE5W1brjcfCEHNAjNkQMyOVUZC6+P9Rg1cvxpWn/OYUKnliMjRRNMZeLxQaOUw+XxQqGQik6qyUa14NEVS6b4Zn2Myurvj3G7jGieUAk6ZcTytM1NS3hQNQW0hCci7jIiueqyunW5XIrDp21wefzI6pCA8UO7cTmWLMlaLLitP7RqOTfpsW0sD5vA2K15aIr1CpsLa7YeR8GwLGR1TIBaKeN08qx+e+U3R+D1BwT2C9ZLit0FbNl9FsfP2XGyuIabBNnrhk4qDW6wnQUqrRc+3sud95c7B2LZ3MEor3aCYYBV3x1Fhc2FKaOyRe02U/KCGWrZhIYpCQ1pzz1ecffZo2dtAMDd18TruwsEzauf7ceS2dcCAFfSNry2uc3hEZ3gpfUbAVYABhhh1DgbvCeVSvD4G/wkgx9sOITfF/ZDaZVD4KU2NT8YnOf0iN+bmBomVEDdPe4KnC1ziLY5q6A3rz79vbfkNhSmCiFSaVl2t8nuMqJ5Ql2oPG2z0k6SK5IAudyJssuIpIf9+VAZNu88jbFhCeruGpuDKXk94PYGoFZKUVrpQGqiNuKLzMJtzcMihln10LK5g/HIqz/wJrDXQ+ItQic+g04BV9gugI3C7tczLeqksnzTYTw6cxBcbp/opAtJsP0TxXbe5FaYn42qGnfEOhbpyTo8dHt/lFbVweUJwKiTcEkBI3lyuT0BXnuR4jSqalwoeuA6lFmdgpK2OZkJMGiVohN8j0wTpjDZXFxLB7NetH23xw9JhPs6X1ELiQS8aojsOE6/sRekXvFo83A1TPhCJcWkEQjL5ZsOY35hX6z67ijmF/YVVjUMI1IGgdBkkDaHB0lGtagnlFEjR4ARFy4tpkZq7hxyTQDVA7nMiRYNKxbJaknWolOaAXePuzLixM3WgggEGJRUOgRtsPEFbHsP33U1F7X7p2n9ufPZiVBsJWjQKdDZYoAlhS+gRg7IFM2/1C87jTMGh/cldFLx+fxc1b7QSOuxQ7pCo5QJ2g+mLA/gtvxe6GIxcjUyQtsvsTpwpqwW763/Dcve/gnb95dwajSxmhzTRvfE1z+fbugfAI1aJtr3RIMaCVo1Xvh4r+A3tNZ4uMk3fDJ2uf3Be/s+GIVtq3GJtp9iVCHZqBY9ZknRRayGmJqoxZDeaYLo7fsnX4Vap5cX+R++UIkkLF1uP6pq3DhTWgulXAaFXMqfVOszHuw/Wg6pVCK4dmF+Nm9cdWoF9CoZ5wk1JS8bhfXCtbLGDUD8eWzrNTpaEtqBXE6IqKqieXuEVuZj1VK3jOiB5z7aI4jvEJu4WfWNWEnYTqk69O6WiKoaj2Dl/PT916Gyxs1t2+1OH28lmGJSY9Lw7jhTWius2hdhtdwhVQedSi4wzoZnmJXLZREn3Sl5PXjti6UJD/eMKszPhgT8XVKAYXi7LNaTKy1Zi/IqJ2doDvVg++zbo4IaGXNvzoVGI8OpUvG0KT8fKkMXi1H0WIBh8Mfb+0MmkeKz746gqsYtsDmxk2Wty8dLAa9SBAtPvf/FQQzt11F0la7TKKBXy6GUSwUJGcMzEJgMKl7kuU4rvvJ3ebyC3VRoHZXwwNPeXROxbO5gVNhdUMqkeOPzX7hkkDPG5sDrD+B0mQPmRA3SkjSw13lQVePBE2/+FPV5bIs7gdaCBMjlQgRVVQezeIqM8Mp8NocHapUci1/7kTs3lonb7Q3g6131JVozDDy1QyDA4MVP9om6SWam6DiB5/T6MPeWXLxa7/8//nfd4KqPjzDoFPwYggiJ8+QyKZ7+7/8wo17NxjAQZJidVdAbR85UITlBPMJcJpNA6mtoXyxNOGuXqLQHHQRWfXdUVHUWyZNrxVeHYUnW4p5xvXGyxA6ZVIJFMwbC6wugps6Dv959Daodbhi1SqzfdhwWsw4KmbhxOVAfoCd2TCGT4ujZas4ADwBb954TVQ85XF4YtArOm6pLuhH/+eJXFFvrRN20WRWQvc6Lf34QdI+dMipbENfA2tN8fj+m5GVz8R2WZC3v97YkazF7Yi5kUgm32Ahto2jeEEilQffjUKpq3PhgY9BuFhrrIZNK4PUxWFpv1wld1ER9HgESHmGQALlMiKSqevr+62KuzHe6oiGldfjEEWniZgPb2Any2eV7uFVjVDdJrYJbUZpNGnh8Piy4rT8cTi/SkrVc5bjQSHGzSQO7wy0aJOZ0+1BwfRa27D6LcUOzcKqkBsXWWuQP6oxEgwoalYJbHT8+R7wuRLeMBDjdfjwwuQ+e/3hfRKEZWmipMD8bEglfYLCJBMPtKOu3n0CKSY38QZ15Xmt33NgLySYNnl+xV/C7DuqdgQ82/iZwszXqFPj026PIzkwQ1fH76mM82JW/Rh1U6YTWEGd/J6lMihc+bki0OCUvm1eHhN1BdUrX41yZAx3NeujVcpwuD0mBHmGsfj5UhkAAvEDLYmsdPt4c9HaqcXpRXetB0Xu7ImY1sDk8UKnk3KIi9D5vGNQZ764PBhP+68P/oWBYFqRSCT77Vliffcmca0Wfx+o6T+tnnI41rUkLZ8gmAdJWaeJKYpFUVeetdUgwKFGYnw2Xxx/RVx/gGyZDy6GaTRrUOj2CoLHQwDaxPFCR6lYvmzsYtS4fl8rEoFNg2g09uSwC1bV810s2UnxKXjZWbA6u4OcX9kVZVR10agUvSCy8Ct7sib3hcvt4RaOcLq/oqvq5FXtQ4/Bi+o29sGTOtfD5Alj9nfjKP/R+puT14E3iNQ4vVEoZpuT1gMmgRnmVk4vLmDIqmzcmBp0CtU4fUhIlPFdj9loqZVA/H+5me8eNvQAAH20+jPG/68aLxUhJUHMecLfd0BPnK+pE3YnZHYK1WujqKraDWjzrWnSqT+FxuswBjZqvigoXyqw9zeX2czE57L0VW+vgcHmhVctR9N6uiG2wu+Ual09U7Ti/sC/vee+SYYBcJp7Z2OcLiD6Pvy/sh6fe38VXmbWkEIk17Xu085oJEiBtCTYBodOLqloPZxhtigc3UmDS8XN2zsWUfYF5vvphK5r5hVfhuY/2chNhcoIaX/54AkfOVCOnswlL51wLW42bqzNtSdHh+Dm7IHCtwu6GPxAQfZEdLi/cPhk21mfBvaJrIipsLm5VPjW/Z8Tdjkohw6SRPYL6+b4dsXyj0KAemsjx9VW/4MHb+vHaUqsbam+nJWlRbnPyki6+/8VvWDZ3MNLMGsy9OZcXET9jbA6cbh9XZ+LrXadhSdEhyajGnTf1QrXDiyu7JeGVlUHVCmtHqXEEU3iHpvEIt7FYkrW475arYHd4oFLK4HJ7UVZZh5EDMgUlbNdtO4FZE3Jx/Hw1/H4G/XuZUWFzItGght/nx+mSWkzNz4a12oXPvj0acXV/ttyB1ERN1B2UJVmLOTfnwuP1wetrqDR497gcbjco9h3Wnha+C2OfQZNOecGsBuxuOVI8h8vdMJZ5V3cGwwAqpbhary5C7q7zFbXc/1ujCmGsma+jnddc+bBIgLQVQlYPbLzBhR6YxiAWmBS6KwgNLmPVAmKV1sLLoX76zREM7dsRVTVuXH2lhbORcHrlND3+FVJYCWhIQx5gmIgrSrvTg/FDu8Hu8MLl8aOi2sUFCG7eeUowGc0qyIXd4cHvC/vi612nMe/Wq1ATIXI5PJEjE+D3w2pzcgWZCq7P4tkJ2O84XF4kB5RITlDh4buuhr3Og9RELX47WSVwIVYqZKi0u6FWyfHZd8dw/GwV1z6bFmThnQPh8wdg0Crx2bfHBDYWVrX1VH1qE9aIfuB4Bbp1TOTdJ3tu6M6L3Q3WOLy4b1IfPH3/dahyePC3txtsCqKTqssDn1+J2RN7cwkOaxxepJjUeGj6AJwpq4Feo8Q/3t0leK4CDKBWSBt2P1IJHrp9ACRSQKdR8Oxpoc8gG+hn1CrgDfltQne9WR0TYK5P7w4GSBHJu2VJ1sKcGAxINOqUeGP1fs4eEi74p+ZnIynCIsvjbfATDn03xLJFZ2UYmlyIxJrWJN66JBcDCZA2Am/1EEFffFF5cEIM4iVVTtFdATuxsl4056tcghXNBxt+4wUBAgAkEDUoP7diDx6dOQgP33U1Lwjwjht7YdX3xwBA1PNHKpXAX28A/uzbg4KJqcLmwrrtJ/Dw3VcDYFBW6eJNrNNG90KCVhHVLgM0rEohkeCh6QNwrrwWDpcPWo0S764NBhgKvLzQIOSqar04fq4hJuTOm3IEYxCau2p2QW9MGt4dVTUebNpxEvML+8Ll8cOkVyIQYOD3M5BJJbh/ch+8EGZjGTkgEzsPFAe/4w6mQFnz/TGMH9odJ0vsyOlswrihWXC5g8LmlU+FxaHY3+2jTYcwv7AfHE4fpzqKZAxPTdRizZbjuGFQZ15kuEzK4KPNh9AvOw3LN/4iKgjkMikvEj20qmFtnVc01iYtWYubh3eHTh00wtsdHvxhWn+8szZon6pxBEveGnXBSoOQAtZqDyprXPjLXVfj1U8bjOaTR2XzIvfZ56fYWoePvzqMx2YOwt6jFZBKJEhNCjoNiNWLYVPms/33+RlYaz2oqHYKbC5pSRroVU07rcaa1qQ10p+QAGlNQrbACoWMl4Ij5gchfButlcPuiJ67yutnRHcFrApoan42fj1RCYdLuKVn4y+m5GVDrZRCJpXCqFNCpZSJphApraxDeZUTt93QE1a7C25PAJnpeswv7IcahwcJWgXP/gIJg7+/twtD+3bElj1neR4xocnwahxeaJVyKOQS/O3tXQIhd1X3ITBoFQK33dkTe2Pl10cENS7Y+/5612lIJZlcZb0Uk1owsf7p9n7w+hmUVzuRlqxDZroeR85UwxUh8poVBK+v/gUP33U1qmorUV7twqniGiQalbDVAq+FrIbZXV5aspZ7DhKNSoy8ujNP5TOroDd0Ghn6dE9CepI2ojooxaTGyAGZSEvSYsbYHEglEix5/UfBuezqPjPdAIZhsOq7o7hpSFd065CI//tA+LyElq4Vu2etShFRHXf3uCtEx99e68bmnaegUcnx9/d+a9hhTugNe11QeHz23VH4Awx+PliC/EFdBKV7a50epCXqOJUn26fQXXaxtQ622mCsRyDA4P0vfsPC6QME0d/lNhe34xLrL/vMs0K6R2ZikwuQWNOaRD2vmSAB0hzEohsVMXixq51out5oRjNLspbnDqlSBAO3EvVK6LVKrh9ujy9iOu6CYVlYt/0ERg4MljINFWTsSxQ6UU3Nz8Z/N/yGGoeX63+okVddb+R1OL0AAxw9U4nURA3vpQ+3vxQMyxIkGQz1ppqa35NLbnjsfI3oBFZe7UaWRQ9zIj9VulEjR/6gzkhL0uL9L/iZVjfWC6jQehehapNOaXro1HJUVLvwz//u5k1awEnBeLF/hwYq1jq9yOqQgPSkniirciEtUSfIuMvu8t5ac4D7nTJS9AIX1jdW/8KlMglPLslOll//fJo3cU/N7ylI58Keu2XPWXTNMOJMaQ18fgYjB3SCOVGDYmtdVFVgpHvWaxURXZ59/oBoBPuUvB64cXAXTuhzqrv3f+Y9cx1T9bCk6ASGf3bHd7JEPDYmtM8yqYSnnmTzpQHgygRndTAEEyu6/ZznX2h/w1PyuNw+NBkh80gHs+7C8SitkP6EBEhTE6PHhJjBa/mmw1wJzk07TuHhu66GXC6FTileSSy8jaF9O/K8idxefg4nth96rbLBSFwfvLbiq8O8iR8M8PXPfEEmliMq9CUK7X+o3z1Lp3QDunVIEEyE4fYXSPhJBsV0+vOn9A3umCIYRFUKGewOL/6z/iAvVfrb6w5ixtgr4Q8EBC6bbGLFMlsdL3COVZu8vfYA7hkX3MGECp5PvzmC6Tfm4O21ByK657L9KrE6sPmn05g0skdU4zUk4Akvh0tc5WOrdcPvF3dGSE/WCoophQYxAuB2Jz06JcCSosMzH/DtJv56d18x+0KXdCNKqxyC/FT3T74KiQYlVEo5515sNvFja9xe8T67vQGkJWqRma7HxOu7AwDOlNYKVvoLpvW/YBneaI4WsycGc6mFHiuucKC4wiEaqBjJvhBe8hcA7C7fxRvULzSPRGq7hdOfkABpYmL1mIjkNZLVMQFLZg3iVg/mlPpCMCIPguChjqJO4PVDq8Dcibmoc/vh9vpwRdck7D1cyu0A2GSEIwdmQq2U4g/T+iPAMJBLJVFfIrfXjy4ZRiy8cyCUchnPaDlj7JXw+xl4feKeLmwblmQtOqcb4PE2uHZGsq8smzsYapVcNM5Bo5Khus4jEBIzxuZAo5JBJlMIVq+hiRWnje6Fx+cORoXNiTOltdzOioFQ8BTmZwNgUOPwQl3vnpti0kClkPMCFdmEgEP7duRV3BOb6NhUL6zwSjFpxFUoWgUcYZH6bBu2WjfeW39QVJCxgpndnYg5brDJFHtmmnjldC3JWkwa2YNTEVmStVg0YyAkAG/Ve76qjnMvjpjzS2SCTzGpMHpQl4gqObfXD0edl0vvItbG1z8LY23m3doHOrUcS+dcC5836InGfodNKBm+K2LfmUj2BbGSv03hNRnrPNLakABpYmL1mIiUBVSjkiPDVJ+e+gIPX6SHOpoKxebwwKhToKrWLajsdudYDXQqBY4X1wgq1q3Zegz3jO8dtX2VQoaT5+1YvukQ91L+sP88BudmcLuHaC64rOEzfOIIBBjRMT1TVgudWo4ko4qnplIpZahze6GQywQxFW6PH397Zycmj+oRVdh+sOE3PHzX1fUr0oZa2ya9mnNjZr/z0abDWDzrWvy+sC/eqi8zy1bmY0vmgkGDajBE0IupK9lSslPysqFTy5GZboDPF+DcmkNVbl07GFFhqxMVoqH3xQqJ3YdKuZQoPMEcYfHhdPvg9zNI0Ks4N+TO6Qae8C221uEf7+4SpJJXKeScg8TuQ6W8ncqW3WcFnlD33doHKUYV5HIZl7IlvP8rvjpcLxxd2PxTiag3FettZtAq8Mg918Du8ECjkuP1Vft5aVSevv86nLfWcQ4lIwdmRnx3w9P6sG10StWhd1ayQL11sZM9FZS6TInVE8KgVYi+9EZN7D9JuNFsy+6zgmC+aaN7Ys3W47x+WO0egaqLrewWCDDc99ljH2z4DQ/e1g9+X0DUU4cNFgz1WGFf+vmFfXmTTbgLrkohw32T+iAlQYW+2Wau0FJoG78v7Cs6pmVVToG6zOMNYM2W45h3azBpX+h3QvN1eXzimWJDha3D6RWcZ612ir7Y1bUuyGRSLp4DAK9IEq/9kMj0UDVVWpIGxRV12PzTKYwf2h1yuxM6bdBFduoN2aI7H58vgGqHl0sXwwqr7fvPY+L13XnxKJAAA3qlY+U3R7gYlwstPoJeZsEFweyC3th96Cyk0bwEdQpY7R5Y7cHxYM/rl52GT785wuvjph0nsWT2taiqcSHJqEaqKViW+NC5yPYLdieRbFShZ+ckrPr2COfNplMrYK2uw+yCXBi0CpwstmPZWz9FdItfNncw5DIpr8Z4xHc3in2hMoI24WImeyoodZkSq8eEXiVDV4sx6Brp9kGjlkOrlEGvboTuVAJAwnCrb5066JUkVgEutB+HI7ygVrtLEKXL6sjrnME+7jxQzE0CBq0CliQdZk7oDZ1agf988WvDihvBSStcT8264C68cyCqatzQKOXweH0w6pQorXSKXlsikeAvMwbi1c8aVpDsrggAL00FW9dDWW/A572E9enYCwbwi16Fq0nY8VIqZMjqYOSdJ5eLq00CDFBmdXA6f5VSKrANsB5CAHD/rX3wwidBQc2qqWw17nr1WU8o5RJkWoxY9tZP9WoiHc9zjhWuS2Zfiy4Wg6Cin5izQ/eOCSi3ubhStaEqoEhuvKELgtdX/4KH774aKoWMi1UJHQOTXol9x6u4Bcif7xjYMFYScJ5toRRXOFBSWYfTJbVcHEWkyfPKrkkAAyzfeAgLpw+AyxfA/mOV2PVbOe+8pXOuhUwi4WxY0dKosClnpuZnY/v+84LFTaS0PgCatXogFZS6XGmEJ4TD5RM8IDFR751RXu3CmVIHl95iyqhsfLBhr+BBfnTmIOhVMq5meUKEWgnJRjU8voAgP1LoJMtmm2ULOT3936B3zN3jrsCQ3AzBjipY+pR/rRqHNxhwV+8mm3d1Z6jVcpj0waysoRHaoRMaOwG7PQEo5BLekLi9fi6GQKuWwx8IIMAwuO+WPni5PiZCp5bzdNVs0SuP1weNSoHzFbUYOTATUokEnS16mAwqWO2u+sjyYJ2T6hoXL6hOpZBhzs25sDvcSE/WwVbj4ryccjqb8Ne7r4HD6YVS0WATUilkmH4jPyBz3fYTmDH2Cswv7Iu1W44ht3sqOlsM3Lg5IxiMSyvr8P6XB3kTXyRnh4emD0BqUoMtJTQRJRfQeMdAnC6zw2zSYtV3RwULggPHK0XVT7MKesNW60GJtY4zeJdWOjBjbA7s9UZ0sVQsZVVOrNjcMImnJWmgVsoEmYfn3JwLtzuYAt7rD8Dm8MDnF+6IC/OzUev0QoKGxUJaolb02qEpZ9i0J7V1HiyeNQh2hwfJRnXEeiOhGLVy3HtLrkAl7PT4eMW9or3LAo/NdlJQSsIwTBvrUvNhtdZy+ZRiohlTFdidXl4taUC83KfZXG9ED+lTaARssPynHqdK7Mgw6/DWmgPcS8KyZNYgZJp1nFdHZroeo6/twpsE770lF1dlJcHh8ePQSRtXsCl068/2kc0vFKqauuPGXjwDJHvuX+++GqWVTt5KPFStNv533XiBhKyAGtq3o+i1Q/Xg4WVZF945EB6vHz6/H2fL6hBgGKQmatDBrEel3YWkBDWWhEQ/s9+bfmMvBALgxYvcd0su6tw+2Go9kEokSDSo8PHXh6GQSXHP+Cvg9QFurw/JCRp8uOEgDp6yCVbtkQzU4fcSOq5nSmuRkaLFmq3HcdsNvbg8UH++YwCeXb5H9Ld4+v2fOUHcNcMImVSCZW//JHjmHpjSF2aTBi+v3MslQ2S/l5akQWmlEwn1dV0gAaQSKW9Mpo3uhUAggHfXH+QqIB45YxOkaWd3cmOv6ypoI9RGIVY58v9N7gsEAii1OaFRKiKO8YCeZri8Aby95hcugDJBp0BpVTCvV4JBhYMnqiJe+57xVyBBr4bDGTTGf/btUQy60gKpVMKP+ZnWH2aTmpsDpJKgyopXudPpRdH7P3PefmCALXvOcs9wRIN6rDmumgDBPBIjUqkEycn6iMdbbAdy4sQJLFq0CDabDSaTCUVFRejSpQvvHL/fj2XLlmHLli2QSCSYM2cOJk+efMFjzUJT/bgRhFC0WszR9Ka1Lh+Xtlopl6JDqh7nymrh8QVwuqQWk4Z3x8pvj/JWWnK5DNYaD97/Mrilr6pxQ62Ucik4jFolZPUPvt8baDBgRtj6nyqp4f7f8Lm4W2ZNnRfKMLWaWhncCaSn6PDvMLXMx18dxv1T+sJW4xYk2GP7BARXl13qAxqlEgkSdAq8tHIvFDIppo3uCSBYK51hwAXNTc3PFu2jOVGLf33ATzX+8qf7cfPw7tzqeNroXlhwWz8EAuDUSlNGZQtsSRt3nMLd466Ey+3n3Ge1apnodVXKBvXi1PxsvL32ABdPM2VU0HbB7hBsNS5Rm5mtJjg2bELJv8y4OhjYKbLDLLXW4bXP9vM8mtjvPTClLwIMg8+3HMf0G3NQaXfh/S9+49rITNfDbNKAAYOlc67Ft7tOwx9gkGhQo7TSgbxrMjlBwAZ8BgIMNv50glN5mvQKJCdocc/4K5FoVKO80sFz1ijMz4bf70eCToX/bvgN44ZmwaRX4cMNBzFuaBbyrvHDZFSCCQBnK+qQZFRh4vVZeObDPTDoFJg0vDtq6nyodlSjS7qREx7s8+L2BjCroDeSjWqcLavluYXfN6kP9FoFSq11+NPt/WF3eKHXKuBweXHs14Z0JQk6BVZ+exQ1Di9nRC+pcmJov47csxoauFlwfRaXEj78vQ73tDLoFDhTVguVUoaUBHXrZf5tBC0mQBYvXoxp06ahoKAAq1evxmOPPYb33nuPd86aNWtw+vRpbNy4ETabDRMnTsTgwYPRsWPHqMeagyZxo4sihKLVYo6Gw+MXTVv99a7T3OQz/nfd8PbaX7lj/17+P9Q4vA0rwyFdUV7lwvMr+JlzjTqlwPtDrI8qhRTuCOVKw/8GgJdW7hd8fvPw7ii1Onifs/Eej4fUaQhPsBd08wzq+J8N0fGzQuOGQZ1RYatPEDgsi5dmIzRAMLQvkeIoAvWbc7c36EjwyD3XBKPp689VKoT2ovxBnQVeZN07mUSv26tLEv58xwCcLqnlBWAur3cceHXVfkwemV2f8ViLCpszTBDLgruFkDZlUglOnK8WqIAi5T1jv2ercWH1d8GkmkyAgU7dEEXeo1MCbhjUhee2O3lUNore2wWDTiGoSc+msNeq5Jzhnz0vNM5kdkFvLoqf7deyuYNh1MmRX+/GO7vgSi4Cn20jVIiybQzJzeC9F6GLhXB1qFgw5csr9/FsaOu2n4BCJsWkET0E79rYIV3x7vqDeG7FHi7uib1v1utQtERB2LwR+q6JqWxbJfNvI2mRkrZWqxW//vorxo0bBwAYN24cfv31V1RWVvLOW79+PSZPngypVIqkpCTk5eXhyy+/vOCx5qApEpNFKxfLemGxk2ysXlg+X0BUvz1yQCb3/24dEvDI3dfg5uHduYmJfUFHDshEapJWtA2708crYytWbnVqfjbkMimXXZU9tmX3Wcwu6M07tzA/G2VV4lHMAYZB14wE7nxAPJ8W22dOUP58WlTH/8GGQ8J7C9tBid0P28fQfrDHQl9ct9ePOrcPifqG8clI0cXUf5+PEb2u0+mFVCLB8k2HeGpHt9cPpzvoofXx18FJ3utnsPLbo5wKNhAI/s1eix0fvVYBvVbJeVr98fb+KBiWJch7JpWC9z2pRML1NylBDXN9Bl4AmHh9d04FCQTjWFj7h1glyo82HUa3jAR0SjNy4yF23uurf+GCBdnP7HUeWKs9XPuWFD137WhthD/T7GJB7HcJD6Zk22KfF/Z9Gtq3o8CdePmmw0hN0nJ/hy4yPtp0GBOv7y76DKgUwvc69F2LFOtkr/MKvteWaJEdSHFxMdLS0iCTBQdLJpMhNTUVxcXFSEpK4p2XkZHB/W2xWFBSUnLBY7ESTZcXjocRT8SXnqyH2RxbOyVHy0Uf1DqvH1d2TES5zcVbUWamG9E5w8RzKwSC+kuWk+WOiA8/+3+n2we9RsGLX2CPSaWRa057vX50zUrBgtv6418f/o8zrC64rT/nIrtu+wnclt8LY67tgsx0Iy+PlVwGLLitP7x+P86U1HK+9aI7EwaocXj4RamkEO1XWrI2WE4WwG039IJaKa4SgkR4b6HXZu/nsVmDUF3rxsnzNZzXVTQPJLYdjVIOqbRBrVRaVRdT/+vcXi7yv8GF9VS92kh8V2Sr5aumls65VtQtOKdLUtBVt94Qn5qkhcvt5zye/nzHAFH7S6c0A+97bOoat9cPu8ODpAQ1d5+C5yVUMEdQcx45Y4MlRXfB88J3UFq1ApUh9V6qatyxtcGILxY+2nRY9HuRnkm2zdD3SXA9t1/wHfaYRCIebOvxB3jvMQAkBxjuXYt0b3VeP7Iyk9AUhF+/KbisvLAaY0RXSiHqRqeUMjEbo7QR1FRahQxWay26pumQbFDyvCys1lpeG+HGr0gpp0OD+RINqohlTgf0TIU3IK5+StQrYbXWIrs+/09FjRtHz1Tjjc/382wqpZV1PA+qHp1MMOmUeObD/6HYWocpedncpBXNPfSe8VfyJtbMNPHMt6X1kyFreO6SIX4eGMBe5+aOiV37hkGdoVbKIE9Q84zSbCxG1wwjDDolTp2v5mI62D5rVDJIAKiVsvq4DS3+s/7gBfuvlMtw66hsXsLE2QW9YdAqwDAQJHwMdVHmnpkIEffHzzWUpVUpZNBrFCitdHD9KK0UDzJ8e+0BhKeuYf9vMqigVsi4+0xJFKZKD/1b7JjHG+Dlwop0nkYp542xTiWDXNbwjBt0sbVRUlkrulhYcFs/KBV81+toFSF54yGJLNwjLTLMImnlVQoZdEqZ6LzBvmsOtx+rvxMKeq1C/HuNpbmM6C2iwrJYLCgtLYXfHxwcv9+PsrIyWCwWwXnnz5/n/i4uLkZ6evoFjzULIW50S2YNQtG8IY3WR7K+3KGqC152zHq/8swUHS+Ct7Ftsqod1hiYbFBGvHayQYn0BHVM/eqWpkenVD1vIp17cy627DkLIOiOm5akQZZFj2SDEtPH5EClkPHUW+yL/Oc7BuLBwn74w7T+SEvWosbhxWffHsWkET2w+vtjWLH5MP7zxUHMvTk34r2x/1/z/THBefNu7YPOFj26ZRhx36Q+vGv/YVp/TB/TKzjpJ2uRqFPAnKDitVHj8CI1UYNEowIGjRxGvRI3Dw8G4t08vDuX7jvJoIRRH/Tvr6p2YUpezwv2/5XP9mHzjpN45J5BeHBqP/y+sB9SEtTQKWXQq2TIqHc/npKXjTtv6oXkBJVgzJNNSpgTNbw+mRM12LjjFO+8NVuOYdOO07j3lmA/1m07wQmCKXnZKMzPhjlRIxCO7BjPvTkXqSYV9CoZUhI0AIDKaifm3tJwX6wbb/hvHd7e+q3Ho5439+ZcOD1e7n7YUrjJBiXX/9DfWrSNW3LRKU2H7E4m3D/5qjA1YU+8u+5XfLjxN556tcbhhTlJg4emD8CDhf3w5zsGYtOOU7yUM1//fDp4n7fwf8/7J1+FnpkmFM0bgo5m/rsxf0pfLiV8xHcrnPp3zZJ4gXeyjdJibrx33HEHbr31Vs6I/sknn+A///kP75xPP/0U69atw+uvv84Zyv/73/+iU6dOUY/FSqPdeJsC1gsrTl9u0ZVDaJt6JfwBoNzmFPqtR7t2rP0KP0+vgLU6GGkc7XpJBhUCAYb7nlQqacgkWh+PYnN4kJyghsPlC7rZGtVITVTBXuMVfq/+Pq12FxL1KiSblLDaGvqhVslgrXYF2zcoUFblRqXdhZQEDeQyCcqqRMZHBpTZ3A3Xro+EvuAxKbho67QkLXy+QMN4JChhrxX/bXh9jPZbhPSfd20FUGp1o6rGhUSDGmnJKpRVulFldyPRqIJGJUdxhSPYj5DxSU3UwOMLoNLO/x47PlKpBGVVdcL7DOmXOUkNe62Pd227XeS31iuDqe5tzmB7SSquz2aTBgwDVFQ7RX9r3piEjLElRQenO/iMBD3BgAq2fZH+1nn90CpkgufM5faL/k7h/ee9T6G/Z6zvULzv/EXOFdForh1IiwmQY8eOYdGiRbDb7TAajSgqKkK3bt0we/ZszJ8/H7m5ufD7/Xj88cexbds2AMDs2bNRWFgIAFGPxUqrCJCLJN4f/lKFxkMIjQkfGg8h7V6AtAVIgLR/aDyE0JjwofEQ0q5tIARBEMSlBwkQgiAIIi5IgBAEQRBxcVnFgYQH6LUX2mu/mwsaDyE0JnxoPITEMyYX+s5lZUQnCIIgmg5SYREEQRBxQQKEIAiCiAsSIARBEERckAAhCIIg4oIECEEQBBEXJEAIgiCIuCABQhAEQcQFCRCCIAgiLkiAEARBEHFBAqSNUFVVhdmzZ2P06NEYP3487r//flRWVgIA9uzZgwkTJmD06NG45557YLVaW7m3LcsLL7yAnj174vDhYOnWy3k83G43Fi9ejBtuuAHjx4/Ho48+CgA4ceIECgsLMXr0aBQWFuLkyZOt29EW4ptvvsHEiRNRUFCACRMmYOPGjQAun/EoKirCyJEjee8HEP3+m3RsGKJNUFVVxfz444/c3//4xz+Yv/zlL4zf72fy8vKYnTt3MgzDMC+++CKzaNGi1upmi/PLL78wM2fOZEaMGMEcOnTosh+PJ554gnnyySeZQCDAMAzDlJeXMwzDMHfccQezatUqhmEYZtWqVcwdd9zRan1sKQKBADNw4EDm0KFDDMMwzMGDB5m+ffsyfr//shmPnTt3MufPn+feD5Zo99+UY0MCpI3y5ZdfMjNmzGD27t3LjB07lvvcarUyffv2bcWetRxut5uZMmUKc+bMGe4FuZzHo7a2lhkwYABTW1vL+7yiooIZMGAA4/P5GIZhGJ/PxwwYMICxWq2t0c0WIxAIMNdccw2za9cuhmEY5qeffmJuuOGGy3I8QgVItPtv6rG5rLLxthcCgQA+/PBDjBw5EsXFxcjIyOCOJSUlIRAIwGazwWQytV4nW4Bnn30WEyZMQMeOHbnPLufxOHPmDEwmE1544QXs2LEDOp0Ov//976FWq5GWlgaZTAYAkMlkSE1NRXFxMZKSklq5182HRCLBv//9b8ybNw9arRYOhwOvvfYaiouLL8vxYIl2/wzDNOnYkA2kDfLEE09Aq9Vi+vTprd2VVmP37t345ZdfMG3atNbuSpvB7/fjzJkzuOKKK/Dpp5/iT3/6Ex544AHU1dW1dtdaBZ/Ph1dffRUvvfQSvvnmG7z88st48MEHL9vxaA1oB9LGKCoqwqlTp/DKK69AKpXCYrHg/Pnz3PHKykpIpdJLfrW9c+dOHDt2DKNGjQIAlJSUYObMmbjjjjsuy/EAAIvFArlcjnHjxgEArrrqKiQmJkKtVqO0tBR+vx8ymQx+vx9lZWWwWCyt3OPm5eDBgygrK8OAAQMAAAMGDIBGo4FKpbosx4PFYrFEvH+GYZp0bGgH0oZ45pln8Msvv+DFF1+EUqkEAPTu3Rsulwu7du0CACxfvhxjxoxpzW62CHPmzMHWrVvx9ddf4+uvv0Z6ejrefPNNzJo167IcDyCorhs0aBC2bdsGIOhNY7Va0aVLF+Tk5GDt2rUAgLVr1yInJ+eSV9ekp6ejpKQEx48fBwAcO3YMVqsVnTt3vizHgyU5OTni/Uc7Fg9UUKqNcOTIEYwbNw5dunSBWq0GAHTs2BEvvvgi/ve//2Hx4sVwu93o0KEDnn76aaSkpLRyj1uWkSNH4pVXXkF2dvZlPR5nzpzBww8/DJvNBrlcjgcffBDXX389jh07hkWLFsFut8NoNKKoqAjdunVr7e42O59//jlef/11SCTBynnz589HXl7eZTMey5Ytw8aNG1FRUYHExESYTCasW7cu6v035diQACEIgiDiglRYBEEQRFyQACEIgiDiggQIQRAEERckQAiCIIi4IAFCEARBxAUJEIIgCCIuSIAQRAgjR45E7969uVT6LBMnTkTPnj1x9uzZqN/fsWMHhg0b1pxdJIg2AwkQggijQ4cOWLduHff3oUOH4HQ6W7FH8ePz+Vq7C8QlDAkQggijoKAAq1at4v5etWoVJk6cyP3t8XhQVFSE4cOHY8iQIXjsscfgcrlQV1eH2bNno6ysDP369UO/fv1QWlqKffv2obCwEAMHDsTvfvc7PP744/B4PAAAhmHwt7/9DYMHD0b//v0xfvx4rjCQy+XCP/7xD4wYMQIDBgzAbbfdBpfLBQD46quvMHbsWAwcOBB33HEHjh07xvVv5MiReO211zB+/Hj07dsXPp8Pe/bswdSpUzFw4EBMmDABO3bsaP6BJC59LjINPUFcUowYMYLZtm0bc8MNNzBHjx5lfD4fM3ToUObs2bNMdnY2c+bMGebJJ59k5s6dy1RVVTE1NTXM3LlzmX/+858MwzDMjz/+yAwdOpTX5v79+5ndu3czXq+XOXPmDDNmzBjm7bffZhiGYb7//nvm5ptvZqqrq5lAIMAcPXqUKS0tZRiGYZYsWcJMnz6dKSkpYXw+H/Pzzz8zbrebOX78OHPVVVcxW7duZTweD/Paa68xeXl5jNvt5u5hwoQJzPnz5xmn08mUlJQw11xzDfPtt98yfr+f2bp1K3PNNddc0vUxiJaBdiAEIQK7C9m2bRuysrKQlpYGILhjWLFiBR5++GGYTCbo9XrMnTuXp/IKp3fv3ujbty/kcjk6duyIwsJC7Ny5EwAgl8vhcDhw/PhxMAyDrKwspKamIhAIYOXKlfjrX//K1W/o378/lEol1q9fj+uvvx7XXXcdFAoFZs6cCZfLhd27d3PXvOOOO2CxWKBWq7F69WoMGzYM119/PaRSKa677jr07t0b3333XfMOInHJQ+ncCUKEgoICTJ8+HWfPnkVBQQH3eVVVFZxOJ2655RbuM4ZhEAgEIrZ14sQJ/OMf/8Avv/wCp9MJv9+PK6+8EgAwePBg3H777Xj88cdx7tw53HDDDVi4cCHcbjfcbjc6deokaK+srIxXVItN+19aWsp9Fpqe+/z58/jyyy/xzTffcJ/5fD4MGjSokaNCEHxIgBCECB06dEDHjh3x3Xff4cknn+Q+Z+tvrFu3jtuVhMJmhQ1lyZIluOKKK/B///d/0Ov1eOedd7Bhwwbu+J133ok777wTVqsVDz74IN544w3Mnz8fKpUKZ86cQa9evXjtpaamcnYSICjA2Cp0Yv2wWCwoKCjAsmXL4hsMgogAqbAIIgJPPvkk3n33XWi1Wu4ziUSCyZMn429/+xusVisAoLS0FFu2bAEQrMVgs9lQU1PDfcfhcECn00Gn0+HYsWP48MMPuWP79u3D3r174fV6odFooFQqIZVKIZVKMWnSJPz973/nCgDt3r0bHo8HN954I7777jv88MMP8Hq9eOutt6BUKtGvXz/R+5gwYQK++eYbbNmyBX6/H263Gzt27EBJSUlzDBtxGUEChCAikJmZidzcXMHnDz30EDp37owpU6agf//+uOuuu3DixAkAQFZWFsaOHYu8vDwMHDgQpaWlWLhwIdauXYv+/fvj0UcfxU033cS15XA48Mgjj+Caa67BiBEjYDKZMHPmTADAwoULkZ2djVtvvRXXXHMN/vnPfyIQCKBbt254+umn8cQTT+Daa6/FN998g1deeYUrQhaOxWLBSy+9hFdffRWDBw/G9ddfjzfffDOq2o0gYoHqgRAEQRBxQTsQgiAIIi5IgBAEQRBxQQKEIAiCiAsSIARBEERckAAhCIIg4oIECEEQBBEXJEAIgiCIuCABQhAEQcQFCRCCIAgiLv4/IfAskcVIjpAAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "c=sns.scatterplot(x=\"Metascore\", y=\"Votes\", data=md);" ] }, { "cell_type": "markdown", "id": "3e56f5dd", "metadata": { "papermill": { "duration": 0.077609, "end_time": "2021-08-07T19:04:04.959658", "exception": false, "start_time": "2021-08-07T19:04:04.882049", "status": "completed" }, "tags": [] }, "source": [ "#### Observations:\n", "- Density in the plot shows that, Metascore and Votes are not so related.\n", "- Because, Vote count <2,50,000 is spread across the metascore values.\n", "- Although not directly related, Higher vote count movies are having higher rating." ] }, { "cell_type": "markdown", "id": "7ae77bb7", "metadata": { "papermill": { "duration": 0.077614, "end_time": "2021-08-07T19:04:05.115246", "exception": false, "start_time": "2021-08-07T19:04:05.037632", "status": "completed" }, "tags": [] }, "source": [ "<a id=section408></a>\n", "### 4.8 Which Actors had appeared in highest number of Movies?" ] }, { "cell_type": "code", "execution_count": 41, "id": "41f181da", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:05.273177Z", "iopub.status.busy": "2021-08-07T19:04:05.272532Z", "iopub.status.idle": "2021-08-07T19:04:05.283610Z", "shell.execute_reply": "2021-08-07T19:04:05.284057Z", "shell.execute_reply.started": "2021-08-07T19:00:17.261455Z" }, "papermill": { "duration": 0.09204, "end_time": "2021-08-07T19:04:05.284250", "exception": false, "start_time": "2021-08-07T19:04:05.192210", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "j = df10.A.unique()\n", "k = df10.pivot_table(index=['A'], aggfunc='size')\n", "ab = ((pd.DataFrame(zip(j,k),columns=['Actors','MovCount'])).sort_values('MovCount',ascending = False)).head(50)" ] }, { "cell_type": "code", "execution_count": 42, "id": "50b49540", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:05.442838Z", "iopub.status.busy": "2021-08-07T19:04:05.442112Z", "iopub.status.idle": "2021-08-07T19:04:06.251178Z", "shell.execute_reply": "2021-08-07T19:04:06.251690Z", "shell.execute_reply.started": "2021-08-07T19:00:17.276918Z" }, "papermill": { "duration": 0.889823, "end_time": "2021-08-07T19:04:06.251857", "exception": false, "start_time": "2021-08-07T19:04:05.362034", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " FutureWarning\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel='MovCount', ylabel='Actors'>" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,10))\n", "sns.barplot('MovCount','Actors', data = ab)" ] }, { "cell_type": "markdown", "id": "6ebea850", "metadata": { "papermill": { "duration": 0.086831, "end_time": "2021-08-07T19:04:06.419063", "exception": false, "start_time": "2021-08-07T19:04:06.332232", "status": "completed" }, "tags": [] }, "source": [ "- 'Malin Akarmen' is the only one who acted in 14 Movies. \n", "- And the next 5 actors: Mia, Susan, Michael, Laura, Roman and Joan are part of 12 movies each." ] }, { "cell_type": "markdown", "id": "06bc050b", "metadata": { "papermill": { "duration": 0.080331, "end_time": "2021-08-07T19:04:06.581880", "exception": false, "start_time": "2021-08-07T19:04:06.501549", "status": "completed" }, "tags": [] }, "source": [ "<a id=section409></a>\n", "### 4.9 What are the movies with highest Rating, Metascore and Votes?" ] }, { "cell_type": "code", "execution_count": 43, "id": "2e3f37d4", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:06.749963Z", "iopub.status.busy": "2021-08-07T19:04:06.749348Z", "iopub.status.idle": "2021-08-07T19:04:06.751762Z", "shell.execute_reply": "2021-08-07T19:04:06.752188Z", "shell.execute_reply.started": "2021-08-07T19:00:18.198375Z" }, "papermill": { "duration": 0.089491, "end_time": "2021-08-07T19:04:06.752373", "exception": false, "start_time": "2021-08-07T19:04:06.662882", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "\" [['Votes','Metascore','Rating'],['Votes','Rating','Metascore'],\\n ['Rating','Metascore','Votes'],['Rating','Votes','Metascore'],\\n ['Metascore','Rating','Votes'],['Metascore','Votes','Rating']] \\n\"" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Combinations\n", "\"\"\" [['Votes','Metascore','Rating'],['Votes','Rating','Metascore'],\n", " ['Rating','Metascore','Votes'],['Rating','Votes','Metascore'],\n", " ['Metascore','Rating','Votes'],['Metascore','Votes','Rating']] \n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 44, "id": "5360a19f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:06.917594Z", "iopub.status.busy": "2021-08-07T19:04:06.916932Z", "iopub.status.idle": "2021-08-07T19:04:06.955153Z", "shell.execute_reply": "2021-08-07T19:04:06.954473Z", "shell.execute_reply.started": "2021-08-07T19:00:18.208134Z" }, "papermill": { "duration": 0.122108, "end_time": "2021-08-07T19:04:06.955288", "exception": false, "start_time": "2021-08-07T19:04:06.833180", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "tmd = pd.DataFrame()\n", "tmd = tmd.append((md.sort_values(by=['Votes','Metascore','Rating'], ascending = False)).head(10))\n", "tmd = tmd.append((md.sort_values(by=['Votes','Rating','Metascore'], ascending = False)).head(10))\n", "tmd = tmd.append((md.sort_values(by=['Rating','Metascore','Votes'], ascending = False)).head(10))\n", "tmd = tmd.append((md.sort_values(by=['Rating','Votes','Metascore'], ascending = False)).head(10))\n", "tmd = tmd.append((md.sort_values(by=['Metascore','Rating','Votes'], ascending = False)).head(10))\n", "tmd = tmd.append((md.sort_values(by=['Metascore','Votes','Rating'], ascending = False)).head(10))" ] }, { "cell_type": "code", "execution_count": 45, "id": "c3c8e02c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:07.119976Z", "iopub.status.busy": "2021-08-07T19:04:07.119249Z", "iopub.status.idle": "2021-08-07T19:04:07.124246Z", "shell.execute_reply": "2021-08-07T19:04:07.124727Z", "shell.execute_reply.started": "2021-08-07T19:00:18.257231Z" }, "papermill": { "duration": 0.08935, "end_time": "2021-08-07T19:04:07.124894", "exception": false, "start_time": "2021-08-07T19:04:07.035544", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "25" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tmd.Rank.nunique()" ] }, { "cell_type": "code", "execution_count": 46, "id": "8b489492", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:07.291750Z", "iopub.status.busy": "2021-08-07T19:04:07.290749Z", "iopub.status.idle": "2021-08-07T19:04:07.298611Z", "shell.execute_reply": "2021-08-07T19:04:07.297895Z", "shell.execute_reply.started": "2021-08-07T19:00:18.265649Z" }, "papermill": { "duration": 0.092369, "end_time": "2021-08-07T19:04:07.298767", "exception": false, "start_time": "2021-08-07T19:04:07.206398", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "tmd = tmd.drop_duplicates(subset='Rank', keep='first', inplace=False)" ] }, { "cell_type": "code", "execution_count": 47, "id": "d94acc23", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:07.465380Z", "iopub.status.busy": "2021-08-07T19:04:07.464670Z", "iopub.status.idle": "2021-08-07T19:04:07.470313Z", "shell.execute_reply": "2021-08-07T19:04:07.470759Z", "shell.execute_reply.started": "2021-08-07T19:00:18.280841Z" }, "papermill": { "duration": 0.090837, "end_time": "2021-08-07T19:04:07.470925", "exception": false, "start_time": "2021-08-07T19:04:07.380088", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(25, 12)" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tmd.shape" ] }, { "cell_type": "code", "execution_count": 48, "id": "9ec98846", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:07.637292Z", "iopub.status.busy": "2021-08-07T19:04:07.636645Z", "iopub.status.idle": "2021-08-07T19:04:07.952348Z", "shell.execute_reply": "2021-08-07T19:04:07.951655Z", "shell.execute_reply.started": "2021-08-07T19:00:18.295923Z" }, "papermill": { "duration": 0.400512, "end_time": "2021-08-07T19:04:07.952529", "exception": false, "start_time": "2021-08-07T19:04:07.552017", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 504x504 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(7,7))\n", "sns.barplot(y=\"Title\", x=\"Revenue (Millions)\", data=tmd, ci= None)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "daddda42", "metadata": { "papermill": { "duration": 0.083603, "end_time": "2021-08-07T19:04:08.119210", "exception": false, "start_time": "2021-08-07T19:04:08.035607", "status": "completed" }, "tags": [] }, "source": [ "- The Movies: 'Manchester by the Sea', 'Interstellar' and 'Moonlight' generated low Revenue even with Higher Ratings, Votes and Metascore.\n", "- 'Boyhood', 'Gravity', 'Carol', 'The Lives of Others' and 'Ratatouille' Movies have performed well in poroportional to Ratings and other metrics." ] }, { "cell_type": "markdown", "id": "2c3f3c54", "metadata": { "papermill": { "duration": 0.083893, "end_time": "2021-08-07T19:04:08.286870", "exception": false, "start_time": "2021-08-07T19:04:08.202977", "status": "completed" }, "tags": [] }, "source": [ "<a id=section410></a>\n", "### 4.10 Which are the highest Revenue generated Genres ?" ] }, { "cell_type": "code", "execution_count": 49, "id": "a916d64d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:08.464214Z", "iopub.status.busy": "2021-08-07T19:04:08.463099Z", "iopub.status.idle": "2021-08-07T19:04:08.467051Z", "shell.execute_reply": "2021-08-07T19:04:08.467478Z", "shell.execute_reply.started": "2021-08-07T19:00:18.664241Z" }, "papermill": { "duration": 0.096585, "end_time": "2021-08-07T19:04:08.467653", "exception": false, "start_time": "2021-08-07T19:04:08.371068", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Action,Adventure,Sci-Fi 50\n", "Drama 48\n", "Comedy,Drama,Romance 35\n", "Comedy 32\n", "Drama,Romance 31\n", "Animation,Adventure,Comedy 27\n", "Comedy,Drama 27\n", "Action,Adventure,Fantasy 27\n", "Comedy,Romance 26\n", "Crime,Drama,Thriller 24\n", "Crime,Drama,Mystery 23\n", "Action,Adventure,Drama 18\n", "Action,Crime,Drama 17\n", "Horror,Thriller 16\n", "Drama,Thriller 15\n", "Name: Genre, dtype: int64" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "md['Genre'].value_counts().head(15) #To view the most frequent genres and their counts in descending order " ] }, { "cell_type": "code", "execution_count": 50, "id": "b4e46db6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:08.657077Z", "iopub.status.busy": "2021-08-07T19:04:08.656133Z", "iopub.status.idle": "2021-08-07T19:04:08.658921Z", "shell.execute_reply": "2021-08-07T19:04:08.659328Z", "shell.execute_reply.started": "2021-08-07T19:00:18.675992Z" }, "papermill": { "duration": 0.107674, "end_time": "2021-08-07T19:04:08.659499", "exception": false, "start_time": "2021-08-07T19:04:08.551825", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Created list to use for loop\n", "lst = ['Action,Adventure,Sci-Fi',\n", " 'Drama',\n", " 'Comedy,Drama,Romance',\n", " 'Comedy',\n", " 'Drama,Romance',\n", " 'Animation,Adventure,Comedy',\n", " 'Comedy,Drama',\n", " 'Action,Adventure,Fantasy',\n", " 'Comedy,Romance',\n", " 'Crime,Drama,Thriller',\n", " 'Crime,Drama,Mystery',\n", " 'Action,Adventure,Drama',\n", " 'Action,Crime,Drama',\n", " 'Horror,Thriller',\n", " 'Drama,Thriller']\n", "\n", "\n", "# Summation of revenue for each genre\n", "TopGnr = []\n", "for i in lst:\n", " x = int(md[md['Genre']==i]['Revenue (Millions)'].sum())\n", " TopGnr.append(x)\n", "\n", "# TopGen DataFrame for the values.\n", "TopGen= pd.DataFrame(TopGnr)\n", "TopGen.columns =['Revenue_Sum(Millions)'] \n", "TopGen['Genres'] = lst\n", "\n", "#TopGn.head()" ] }, { "cell_type": "code", "execution_count": 51, "id": "2ebc1b25", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:08.832895Z", "iopub.status.busy": "2021-08-07T19:04:08.832261Z", "iopub.status.idle": "2021-08-07T19:04:08.834873Z", "shell.execute_reply": "2021-08-07T19:04:08.835332Z", "shell.execute_reply.started": "2021-08-07T19:00:18.704804Z" }, "papermill": { "duration": 0.09196, "end_time": "2021-08-07T19:04:08.835520", "exception": false, "start_time": "2021-08-07T19:04:08.743560", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "TopGen=TopGen.sort_values('Revenue_Sum(Millions)', ascending=False) #Sorting Values in descending order for graph" ] }, { "cell_type": "code", "execution_count": 52, "id": "bb15df4f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:09.006665Z", "iopub.status.busy": "2021-08-07T19:04:09.005951Z", "iopub.status.idle": "2021-08-07T19:04:09.291840Z", "shell.execute_reply": "2021-08-07T19:04:09.292339Z", "shell.execute_reply.started": "2021-08-07T19:00:18.717772Z" }, "papermill": { "duration": 0.373848, "end_time": "2021-08-07T19:04:09.292516", "exception": false, "start_time": "2021-08-07T19:04:08.918668", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='Revenue_Sum(Millions)', ylabel='Genres'>" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 576x576 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,8))\n", "sns.barplot(x=\"Revenue_Sum(Millions)\", y=\"Genres\",data=TopGen,linewidth=1,ci= None)\n" ] }, { "cell_type": "markdown", "id": "37f0f716", "metadata": { "papermill": { "duration": 0.083864, "end_time": "2021-08-07T19:04:09.461042", "exception": false, "start_time": "2021-08-07T19:04:09.377178", "status": "completed" }, "tags": [] }, "source": [ "- 'Drama' followed by 'Comedy,Drama,Romance' are the highest revenue generated Genres.\n", "- At the same time, they are the most repetitive genres.\n", "- The difference between revenue of top genre and the next genres in the row is >8000m.\n", "- It is observed that Drama, Comedy and Romance are the most interested genres." ] }, { "cell_type": "markdown", "id": "f2faad54", "metadata": { "papermill": { "duration": 0.084341, "end_time": "2021-08-07T19:04:09.630705", "exception": false, "start_time": "2021-08-07T19:04:09.546364", "status": "completed" }, "tags": [] }, "source": [ "<a id=section411></a>\n", "### 4.11 What are the top 10 Genres (Combination) ? " ] }, { "cell_type": "code", "execution_count": 53, "id": "7dad0cda", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:09.805646Z", "iopub.status.busy": "2021-08-07T19:04:09.805006Z", "iopub.status.idle": "2021-08-07T19:04:10.037729Z", "shell.execute_reply": "2021-08-07T19:04:10.038242Z", "shell.execute_reply.started": "2021-08-07T19:00:19.062833Z" }, "papermill": { "duration": 0.322946, "end_time": "2021-08-07T19:04:10.038442", "exception": false, "start_time": "2021-08-07T19:04:09.715496", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 504x504 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(7,7))\n", "md['Genre'].value_counts().head(10).plot.bar() #What are most interested Genres ?" ] }, { "cell_type": "markdown", "id": "88ca6854", "metadata": { "papermill": { "duration": 0.085713, "end_time": "2021-08-07T19:04:10.212809", "exception": false, "start_time": "2021-08-07T19:04:10.127096", "status": "completed" }, "tags": [] }, "source": [ "- There are atleast 50 movies of 'Action,Adventure,Sci-Fi' genre making it the most frequent.\n", "- The frequency of other genres is almost same around 25 for the top 10." ] }, { "cell_type": "markdown", "id": "39cae4b8", "metadata": { "papermill": { "duration": 0.084934, "end_time": "2021-08-07T19:04:10.382847", "exception": false, "start_time": "2021-08-07T19:04:10.297913", "status": "completed" }, "tags": [] }, "source": [ "<a id=section412></a>\n", "### 4.12 Is there a change in movie run time(avg) over the decade?" ] }, { "cell_type": "code", "execution_count": 54, "id": "7dc262a1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:10.582236Z", "iopub.status.busy": "2021-08-07T19:04:10.581264Z", "iopub.status.idle": "2021-08-07T19:04:10.584356Z", "shell.execute_reply": "2021-08-07T19:04:10.583889Z", "shell.execute_reply.started": "2021-08-07T19:00:19.340379Z" }, "papermill": { "duration": 0.115926, "end_time": "2021-08-07T19:04:10.584491", "exception": false, "start_time": "2021-08-07T19:04:10.468565", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "g = []\n", "h = []\n", "for i in range(2006,2017):\n", " den = md[md['Year']==i]['Runtime (Minutes)'].count()\n", " g.append(int((md[md['Year']==i]['Runtime (Minutes)'].sum())/den))\n", " h.append(i)" ] }, { "cell_type": "code", "execution_count": 55, "id": "9003c833", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:10.771320Z", "iopub.status.busy": "2021-08-07T19:04:10.770657Z", "iopub.status.idle": "2021-08-07T19:04:10.774791Z", "shell.execute_reply": "2021-08-07T19:04:10.774314Z", "shell.execute_reply.started": "2021-08-07T19:00:19.370807Z" }, "papermill": { "duration": 0.102777, "end_time": "2021-08-07T19:04:10.774928", "exception": false, "start_time": "2021-08-07T19:04:10.672151", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>AvgRuntime</th>\n", " <th>Year</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>120</td>\n", " <td>2006</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>121</td>\n", " <td>2007</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>110</td>\n", " <td>2008</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>116</td>\n", " <td>2009</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>111</td>\n", " <td>2010</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>114</td>\n", " <td>2011</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>119</td>\n", " <td>2012</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>116</td>\n", " <td>2013</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>114</td>\n", " <td>2014</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>114</td>\n", " <td>2015</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>107</td>\n", " <td>2016</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " AvgRuntime Year\n", "0 120 2006\n", "1 121 2007\n", "2 110 2008\n", "3 116 2009\n", "4 111 2010\n", "5 114 2011\n", "6 119 2012\n", "7 116 2013\n", "8 114 2014\n", "9 114 2015\n", "10 107 2016" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df9 = (pd.DataFrame(list(zip(g,h)), columns=['AvgRuntime','Year'])) #.sort_values('Revenue_Sum', ascending=False)\n", "df9" ] }, { "cell_type": "code", "execution_count": 56, "id": "80043d08", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:04:10.968288Z", "iopub.status.busy": "2021-08-07T19:04:10.967605Z", "iopub.status.idle": "2021-08-07T19:04:11.199967Z", "shell.execute_reply": "2021-08-07T19:04:11.200520Z", "shell.execute_reply.started": "2021-08-07T19:00:19.384330Z" }, "papermill": { "duration": 0.33487, "end_time": "2021-08-07T19:04:11.200699", "exception": false, "start_time": "2021-08-07T19:04:10.865829", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='Year', ylabel='AvgRuntime'>" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,7))\n", "sns.barplot(x=\"Year\", y=\"AvgRuntime\",data=df9,ci= None)" ] }, { "cell_type": "markdown", "id": "dba4d6cc", "metadata": { "papermill": { "duration": 0.087659, "end_time": "2021-08-07T19:04:11.376430", "exception": false, "start_time": "2021-08-07T19:04:11.288771", "status": "completed" }, "tags": [] }, "source": [ "- Average Runtime of the movies didn't change much.\n", "- It seems that average Runtime of movies from 2016 are slight lower." ] }, { "cell_type": "markdown", "id": "e5bc94ac", "metadata": { "papermill": { "duration": 0.089536, "end_time": "2021-08-07T19:04:11.587027", "exception": false, "start_time": "2021-08-07T19:04:11.497491", "status": "completed" }, "tags": [] }, "source": [ "<a id=section5></a>\n", "## 5. Conclusion" ] }, { "cell_type": "markdown", "id": "cd36af63", "metadata": { "papermill": { "duration": 0.101709, "end_time": "2021-08-07T19:04:11.775954", "exception": false, "start_time": "2021-08-07T19:04:11.674245", "status": "completed" }, "tags": [] }, "source": [ "- 'Nine Lives' is the highest Revenue generated movie in the year 2016.\n", "- Highest Total Revenue is in the year 2016, which is obvious being the latest.\n", "- An unusual trend is observed where Total Revenue decreased from 2013 to 2014, even when movie count was increasing.\n", "- Movies directed by 'Paul W.S. Anderson' generated highest total revenue of 3715m.\n", "- Drama, Comedy and Action are the most common genres(individual).\n", "- The movies with higher rating will have higher vote count.\n", "- Every year there is aleast one movie to cross 900m revenue.\n", "- Movies of 'Drama' Genre has generated the highest revenue.\n", "- The Movies: 'Manchester by the Sea', 'Interstellar' and 'Moonlight' generated low Revenue even with Higher - Ratings, Votes and Metascore.\n", "- Movies with 'Action,Adventure,Sci-Fi' genre are the most. " ] }, { "cell_type": "markdown", "id": "1c220b4f", "metadata": { "papermill": { "duration": 0.093641, "end_time": "2021-08-07T19:04:11.968005", "exception": false, "start_time": "2021-08-07T19:04:11.874364", "status": "completed" }, "tags": [] }, "source": [ "### Insights or Takeaways:" ] }, { "cell_type": "markdown", "id": "da0bdb38", "metadata": { "papermill": { "duration": 0.091658, "end_time": "2021-08-07T19:04:12.169540", "exception": false, "start_time": "2021-08-07T19:04:12.077882", "status": "completed" }, "tags": [] }, "source": [ "- Drama is the most interested genre by majority of audience. And it is followed by Comedy and Romance. So, Producers can be rest assured while investing in these genres in future.\n", "- Fantasy, Sports genres are less explored by the existing movie makers. So this is a good space for the new directors, at the same time they would help avoid competition.\n", "- Most of the existing directors are concentrating on the genres: Action, Adventure and Sci-Fi even though they are not doing well commercially. Hence, Directors should start combinations of those with well performed genres such as, Drama, Comedy and Romance.\n", "- There are movies with higher metrics of rating, metascore and votes but, they have not done well in terms of revenue. So, These movies can be pushed to OTT platforms for further revenue generation.\n", "- Distributors can safely opt for the movies involving the Actors: Malin Akarmen, Mia Goth, Susan Loughnane, Michael Varten, Laura Dern, Roman Kolinka and Joan Allen, And the Directors: Alexandre Aja, Paul Anderson, Ridley Scott and Woody Allen." ] }, { "cell_type": "code", "execution_count": null, "id": "b2296a17", "metadata": { "papermill": { "duration": 0.091109, "end_time": "2021-08-07T19:04:12.349499", "exception": false, "start_time": "2021-08-07T19:04:12.258390", "status": "completed" }, "tags": [] }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 77.075988, "end_time": "2021-08-07T19:04:14.750990", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:02:57.675002", "version": "2.3.3" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "01f6876a5dea47e598efc900c976893b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "024fed2c46de4d079930ce0dde2884bd": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "03d8ee6ba01745b992e881d0e7776bc4": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "05a3a787a1f04ebba99c97a531d1d1f9": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "086b903d2fdb41d7a6b889060e22982d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "0b58ef40706943c7ba61c691cecc3ca4": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "11c8f8a2a4234b0d8f52b92969268373": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "131ed533b7c5456294a205e576e2451d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "1b8e6b49fa2847d7b67f98d5799b5014": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "1c869eb6378244c588eb7212d9d5b9bc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "1d67f62ef4cd4ba293c583604907dbb2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "1f31b181e8cd44738696bf742b0f8c37": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "2287a83b1ed24c88a64a44e1ae3f242d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "23ca0af7c4914e6493691831a3abd2eb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "24155ac667d344e2a10023cb1bb27fdb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_9d03f1bbd46f46efb9bf842e515a4afb", "IPY_MODEL_b2a5dc28e005485686044c7669fd3af9", "IPY_MODEL_6a3edbb50622473b9185292629793c41" ], "layout": "IPY_MODEL_23ca0af7c4914e6493691831a3abd2eb" } }, "2c0fbeecf74242b6bcc7db430f0b7dc5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_6c411cb72d7e4987b6709d53aa58864a", "placeholder": "", "style": "IPY_MODEL_72af64c3b0094472b2604be47e4ac45b", "value": "Generate report structure: 100%" } }, "2f1c364da4104b9b8c624ffb60b7655c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_6f63a88ddd37404ead4a906f228214ad", "IPY_MODEL_e671ce88bbc7491f80138f7cb7ea0b68", "IPY_MODEL_493c1fa4829a497bb78dadce197bced8" ], "layout": "IPY_MODEL_3814ca3caa564c888f0f069b1c2e998c" } }, "2fb236cfdc364e18a40f706a96594847": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "345c95f74463446fbc5ff695944f02bb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3814ca3caa564c888f0f069b1c2e998c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "384954f455c945b68edad99b8c35c067": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_463e7a9a77d146e3baf19cb3a606cf1a", "max": 25.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_b78b341a086541deb0ce66b682529fdf", "value": 25.0 } }, "3e1104f01bfd41cea67625152cbbcd82": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7bb79dd4a91540fea803c9dc251826e3", "placeholder": "", "style": "IPY_MODEL_2287a83b1ed24c88a64a44e1ae3f242d", "value": " 1/1 [00:03<00:00, 3.01s/it]" } }, "3eb1a6b1dfca4f92a53324c8370fb3b4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "4095fc1e66c148a3946f9f2579049940": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "42b0682662544a3e9ae30638290c4db5": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "463e7a9a77d146e3baf19cb3a606cf1a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "493c1fa4829a497bb78dadce197bced8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_5b8c6f5523ac4c7fb195ea8951b140b2", "placeholder": "", "style": "IPY_MODEL_8f7a699c0b0640a399f709b7ddd91695", "value": " 1/1 [00:00<00:00, 20.94it/s]" } }, "499cd8c680104c3b96dceecf33d1219f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_d27bb9f4e96f41699f1493270ceb955a", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_1f31b181e8cd44738696bf742b0f8c37", "value": 1.0 } }, "4aa22d1431e64f86b299fa057489922e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4ca88063dcc34a2da7234a3bfa085161": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_4ffb6027729a400a8c4d4cbad2a9077d", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_7df8843990b24ef898b6dc78af666b1f", "value": 1.0 } }, "4cbaaaa37ab24f37ab7cd836bb27ec0c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "4e4d0178ee78461eb03b87a71098a801": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4ffb6027729a400a8c4d4cbad2a9077d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "59a1ccc8252f433e99040ca25e9313b9": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "5b8c6f5523ac4c7fb195ea8951b140b2": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "5cad1b6869184392acab63f5825de1fa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "5d3af53bfa484fdea79a6e00dd2cc5ed": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_11c8f8a2a4234b0d8f52b92969268373", "placeholder": "", "style": "IPY_MODEL_086b903d2fdb41d7a6b889060e22982d", "value": "Summarize dataset: 100%" } }, "6a3edbb50622473b9185292629793c41": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_4e4d0178ee78461eb03b87a71098a801", "placeholder": "", "style": "IPY_MODEL_4095fc1e66c148a3946f9f2579049940", "value": " 1/1 [00:00<00:00, 22.27it/s]" } }, "6c411cb72d7e4987b6709d53aa58864a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6c8dd2b854f14a2f93fc07d3e9f3740a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "6dcb1041e502463d9584170419207cb2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f00883fc7d2849c1a0ec733c0be30ac4", "placeholder": "", "style": "IPY_MODEL_812fb5bc4d844cd7aeaad63f4154894c", "value": " 25/25 [00:09<00:00, 1.68it/s, Completed]" } }, "6f63a88ddd37404ead4a906f228214ad": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b6b4ebb1adc14f25955eff52024000d5", "placeholder": "", "style": "IPY_MODEL_78d9e480e0564467879d5e3e62f53b07", "value": "Export report to file: 100%" } }, "700e3b3885d14ab1aa246b1cdcbc4da2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_75fe4fa8f0244effbbe66c11b027fe40", "placeholder": "", "style": "IPY_MODEL_4cbaaaa37ab24f37ab7cd836bb27ec0c", "value": "Render HTML: 100%" } }, "72af64c3b0094472b2604be47e4ac45b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "73b97c6b82494f91b94809cbb0c3ef7d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_4aa22d1431e64f86b299fa057489922e", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_024fed2c46de4d079930ce0dde2884bd", "value": 1.0 } }, "7568f1c7f5d64931bb1dcc37070a344e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "75fe4fa8f0244effbbe66c11b027fe40": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "76f79465486946c1816e2e1b9c4a5077": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "78d9e480e0564467879d5e3e62f53b07": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "7bb79dd4a91540fea803c9dc251826e3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7df8843990b24ef898b6dc78af666b1f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "808235dec4f34e3f8515e050605c4616": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "812fb5bc4d844cd7aeaad63f4154894c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "825085ecc98a41eda6ec1245bfb9becb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_c411ffa6731f448598850d0d159e619f", "IPY_MODEL_499cd8c680104c3b96dceecf33d1219f", "IPY_MODEL_b81cfce23aa048f7b3e991d831dd80a6" ], "layout": "IPY_MODEL_59a1ccc8252f433e99040ca25e9313b9" } }, "86941eccf0ed486bbb9409cbe6e7501d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8f7a699c0b0640a399f709b7ddd91695": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "96222face4d744eba4029f08501102b6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_03d8ee6ba01745b992e881d0e7776bc4", "placeholder": "", "style": "IPY_MODEL_1b8e6b49fa2847d7b67f98d5799b5014", "value": " 1/1 [00:03<00:00, 3.13s/it]" } }, "9d03f1bbd46f46efb9bf842e515a4afb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e762dbf8c1e941108456d5216502b629", "placeholder": "", "style": "IPY_MODEL_01f6876a5dea47e598efc900c976893b", "value": "Export report to file: 100%" } }, "a0ace6c7d4d54c3fa3fc93be258e5a4e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a213b5ade0444732aecba98362b13577": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "aebe3e6f44bc4c61a628800c42a43836": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b0e6aedd2f984d0ca6a21e2b351c6e42": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_ec5d35aebb3b428e9667adc5e01464f2", "IPY_MODEL_73b97c6b82494f91b94809cbb0c3ef7d", "IPY_MODEL_3e1104f01bfd41cea67625152cbbcd82" ], "layout": "IPY_MODEL_05a3a787a1f04ebba99c97a531d1d1f9" } }, "b1594c8c9aff40f3ba2bbf811654a6d5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_a213b5ade0444732aecba98362b13577", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_5cad1b6869184392acab63f5825de1fa", "value": 1.0 } }, "b2a5dc28e005485686044c7669fd3af9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_aebe3e6f44bc4c61a628800c42a43836", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_e5bb7621c4864664b27aa85ffd808c7f", "value": 1.0 } }, "b6b4ebb1adc14f25955eff52024000d5": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b78b341a086541deb0ce66b682529fdf": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "b81cfce23aa048f7b3e991d831dd80a6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_0b58ef40706943c7ba61c691cecc3ca4", "placeholder": "", "style": "IPY_MODEL_808235dec4f34e3f8515e050605c4616", "value": " 1/1 [00:05<00:00, 5.64s/it]" } }, "c1701d9edefd4caaaae277ae68f54540": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_345c95f74463446fbc5ff695944f02bb", "placeholder": "", "style": "IPY_MODEL_d376632a8b6643199b3ff26ede49fd3b", "value": "Summarize dataset: 100%" } }, "c189392cd3b7453b9da47895dfc99bd8": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "c411ffa6731f448598850d0d159e619f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e9e9ac01e95441b5b005d908c09ac930", "placeholder": "", "style": "IPY_MODEL_3eb1a6b1dfca4f92a53324c8370fb3b4", "value": "Generate report structure: 100%" } }, "cdcf4c2773504ee3b1bcd82d0d8b7f22": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_5d3af53bfa484fdea79a6e00dd2cc5ed", "IPY_MODEL_d73c1fb7463041229f89efdcbf83219a", "IPY_MODEL_6dcb1041e502463d9584170419207cb2" ], "layout": "IPY_MODEL_86941eccf0ed486bbb9409cbe6e7501d" } }, "d1df91f891804fb9acf7f7ab676f82f5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_2c0fbeecf74242b6bcc7db430f0b7dc5", "IPY_MODEL_b1594c8c9aff40f3ba2bbf811654a6d5", "IPY_MODEL_e8fbc67d61f6429185ad113f779d66f7" ], "layout": "IPY_MODEL_a0ace6c7d4d54c3fa3fc93be258e5a4e" } }, "d27bb9f4e96f41699f1493270ceb955a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d376632a8b6643199b3ff26ede49fd3b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "d732873a0c094de8874f11f4e58d09d3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d73c1fb7463041229f89efdcbf83219a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_c189392cd3b7453b9da47895dfc99bd8", "max": 25.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_131ed533b7c5456294a205e576e2451d", "value": 25.0 } }, "d9bf1bbed4174e06bfe31afba4b9e004": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_76f79465486946c1816e2e1b9c4a5077", "placeholder": "", "style": "IPY_MODEL_e94be63518f541c4b1cf33c64f0162c8", "value": " 25/25 [00:13<00:00, 1.16it/s, Completed]" } }, "db1ed2f85041491da7382de67511772a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_c1701d9edefd4caaaae277ae68f54540", "IPY_MODEL_384954f455c945b68edad99b8c35c067", "IPY_MODEL_d9bf1bbed4174e06bfe31afba4b9e004" ], "layout": "IPY_MODEL_7568f1c7f5d64931bb1dcc37070a344e" } }, "e0c7d934e813471fa2d1b9964ec16edc": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e5bb7621c4864664b27aa85ffd808c7f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "e671ce88bbc7491f80138f7cb7ea0b68": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_d732873a0c094de8874f11f4e58d09d3", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_1d67f62ef4cd4ba293c583604907dbb2", "value": 1.0 } }, "e762dbf8c1e941108456d5216502b629": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e8fbc67d61f6429185ad113f779d66f7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_42b0682662544a3e9ae30638290c4db5", "placeholder": "", "style": "IPY_MODEL_1c869eb6378244c588eb7212d9d5b9bc", "value": " 1/1 [00:06<00:00, 6.50s/it]" } }, "e94be63518f541c4b1cf33c64f0162c8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "e9e9ac01e95441b5b005d908c09ac930": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ec5d35aebb3b428e9667adc5e01464f2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e0c7d934e813471fa2d1b9964ec16edc", "placeholder": "", "style": "IPY_MODEL_6c8dd2b854f14a2f93fc07d3e9f3740a", "value": "Render HTML: 100%" } }, "f00883fc7d2849c1a0ec733c0be30ac4": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "fd4a854b3a7f44908928d96b2b83e417": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_700e3b3885d14ab1aa246b1cdcbc4da2", "IPY_MODEL_4ca88063dcc34a2da7234a3bfa085161", "IPY_MODEL_96222face4d744eba4029f08501102b6" ], "layout": "IPY_MODEL_2fb236cfdc364e18a40f706a96594847" } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }	0070/600/70600335.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "061eb629", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T19:03:46.880067Z", "iopub.status.busy": "2021-08-07T19:03:46.878207Z", "iopub.status.idle": "2021-08-07T19:03:46.895330Z", "shell.execute_reply": "2021-08-07T19:03:46.894343Z", "shell.execute_reply.started": "2021-08-07T17:30:25.243517Z" }, "papermill": { "duration": 0.056216, "end_time": "2021-08-07T19:03:46.895518", "exception": false, "start_time": "2021-08-07T19:03:46.839302", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/kaggle/input/titanic/train.csv\n", "/kaggle/input/titanic/test.csv\n", "/kaggle/input/titanic/gender_submission.csv\n" ] } ], "source": [ "# This Python 3 environment is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "\n", "# Input data files are available in the read-only \"../input/\" directory\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n", "\n", "import os\n", "for dirname, _, filenames in os.walk('/kaggle/input'):\n", " for filename in filenames:\n", " print(os.path.join(dirname, filename))\n", "\n", "# You can write (results) up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n", "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session\n", "# If the code runs successfully, three lines of output (gives you the location of files) are returned" ] }, { "cell_type": "code", "execution_count": 2, "id": "892721bf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:46.960846Z", "iopub.status.busy": "2021-08-07T19:03:46.959489Z", "iopub.status.idle": "2021-08-07T19:03:47.139497Z", "shell.execute_reply": "2021-08-07T19:03:47.140130Z", "shell.execute_reply.started": "2021-08-07T17:30:32.159074Z" }, "papermill": { "duration": 0.213763, "end_time": "2021-08-07T19:03:47.140334", "exception": false, "start_time": "2021-08-07T19:03:46.926571", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(891, 12)\n" ] }, { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>PassengerId</th>\n", " <th>Survived</th>\n", " <th>Pclass</th>\n", " <th>Name</th>\n", " <th>Sex</th>\n", " <th>Age</th>\n", " <th>SibSp</th>\n", " <th>Parch</th>\n", " <th>Ticket</th>\n", " <th>Fare</th>\n", " <th>Cabin</th>\n", " <th>Embarked</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>Braund, Mr. Owen Harris</td>\n", " <td>male</td>\n", " <td>22.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>A/5 21171</td>\n", " <td>7.2500</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n", " <td>female</td>\n", " <td>38.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>PC 17599</td>\n", " <td>71.2833</td>\n", " <td>C85</td>\n", " <td>C</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>1</td>\n", " <td>3</td>\n", " <td>Heikkinen, Miss. Laina</td>\n", " <td>female</td>\n", " <td>26.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>STON/O2. 3101282</td>\n", " <td>7.9250</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n", " <td>female</td>\n", " <td>35.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>113803</td>\n", " <td>53.1000</td>\n", " <td>C123</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>Allen, Mr. William Henry</td>\n", " <td>male</td>\n", " <td>35.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>373450</td>\n", " <td>8.0500</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " PassengerId Survived Pclass \\\n", "0 1 0 3 \n", "1 2 1 1 \n", "2 3 1 3 \n", "3 4 1 1 \n", "4 5 0 3 \n", "\n", " Name Sex Age SibSp \\\n", "0 Braund, Mr. Owen Harris male 22.0 1 \n", "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", "2 Heikkinen, Miss. Laina female 26.0 0 \n", "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", "4 Allen, Mr. William Henry male 35.0 0 \n", "\n", " Parch Ticket Fare Cabin Embarked \n", "0 0 A/5 21171 7.2500 NaN S \n", "1 0 PC 17599 71.2833 C85 C \n", "2 0 STON/O2. 3101282 7.9250 NaN S \n", "3 0 113803 53.1000 C123 S \n", "4 0 373450 8.0500 NaN S " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data = pd.read_csv(\"/kaggle/input/titanic/train.csv\")\n", "print(train_data.shape)\n", "train_data.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "2a2a1fdf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.196901Z", "iopub.status.busy": "2021-08-07T19:03:47.196279Z", "iopub.status.idle": "2021-08-07T19:03:47.226375Z", "shell.execute_reply": "2021-08-07T19:03:47.227030Z", "shell.execute_reply.started": "2021-08-07T17:30:39.823945Z" }, "papermill": { "duration": 0.061657, "end_time": "2021-08-07T19:03:47.227208", "exception": false, "start_time": "2021-08-07T19:03:47.165551", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(418, 11)\n" ] }, { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>PassengerId</th>\n", " <th>Pclass</th>\n", " <th>Name</th>\n", " <th>Sex</th>\n", " <th>Age</th>\n", " <th>SibSp</th>\n", " <th>Parch</th>\n", " <th>Ticket</th>\n", " <th>Fare</th>\n", " <th>Cabin</th>\n", " <th>Embarked</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>892</td>\n", " <td>3</td>\n", " <td>Kelly, Mr. James</td>\n", " <td>male</td>\n", " <td>34.5</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>330911</td>\n", " <td>7.8292</td>\n", " <td>NaN</td>\n", " <td>Q</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>893</td>\n", " <td>3</td>\n", " <td>Wilkes, Mrs. James (Ellen Needs)</td>\n", " <td>female</td>\n", " <td>47.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>363272</td>\n", " <td>7.0000</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>894</td>\n", " <td>2</td>\n", " <td>Myles, Mr. Thomas Francis</td>\n", " <td>male</td>\n", " <td>62.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>240276</td>\n", " <td>9.6875</td>\n", " <td>NaN</td>\n", " <td>Q</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>895</td>\n", " <td>3</td>\n", " <td>Wirz, Mr. Albert</td>\n", " <td>male</td>\n", " <td>27.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>315154</td>\n", " <td>8.6625</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>896</td>\n", " <td>3</td>\n", " <td>Hirvonen, Mrs. Alexander (Helga E Lindqvist)</td>\n", " <td>female</td>\n", " <td>22.0</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>3101298</td>\n", " <td>12.2875</td>\n", " <td>NaN</td>\n", " <td>S</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " PassengerId Pclass Name Sex \\\n", "0 892 3 Kelly, Mr. James male \n", "1 893 3 Wilkes, Mrs. James (Ellen Needs) female \n", "2 894 2 Myles, Mr. Thomas Francis male \n", "3 895 3 Wirz, Mr. Albert male \n", "4 896 3 Hirvonen, Mrs. Alexander (Helga E Lindqvist) female \n", "\n", " Age SibSp Parch Ticket Fare Cabin Embarked \n", "0 34.5 0 0 330911 7.8292 NaN Q \n", "1 47.0 1 0 363272 7.0000 NaN S \n", "2 62.0 0 0 240276 9.6875 NaN Q \n", "3 27.0 0 0 315154 8.6625 NaN S \n", "4 22.0 1 1 3101298 12.2875 NaN S " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_data = pd.read_csv(\"/kaggle/input/titanic/test.csv\")\n", "print(test_data.shape)\n", "test_data.head()\n", "# Remember our goal: we want to find patterns in train.csv that help us predict whether the passengers in test.csv survived.\n", "# one less col (survived col) in test_data. # this results in doubt that train_data is actually X_test" ] }, { "cell_type": "code", "execution_count": 4, "id": "d22aebba", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.290059Z", "iopub.status.busy": "2021-08-07T19:03:47.289115Z", "iopub.status.idle": "2021-08-07T19:03:47.293703Z", "shell.execute_reply": "2021-08-07T19:03:47.293207Z", "shell.execute_reply.started": "2021-08-07T17:32:39.222358Z" }, "papermill": { "duration": 0.040904, "end_time": "2021-08-07T19:03:47.293831", "exception": false, "start_time": "2021-08-07T19:03:47.252927", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 177\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 0\n", "Cabin 687\n", "Embarked 2\n", "dtype: int64" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data.isnull().sum() " ] }, { "cell_type": "code", "execution_count": 5, "id": "893fa5f0", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.356159Z", "iopub.status.busy": "2021-08-07T19:03:47.355346Z", "iopub.status.idle": "2021-08-07T19:03:47.360287Z", "shell.execute_reply": "2021-08-07T19:03:47.359776Z", "shell.execute_reply.started": "2021-08-07T17:32:45.593281Z" }, "papermill": { "duration": 0.04008, "end_time": "2021-08-07T19:03:47.360428", "exception": false, "start_time": "2021-08-07T19:03:47.320348", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 86\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 1\n", "Cabin 327\n", "Embarked 0\n", "dtype: int64" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_data.isnull().sum() " ] }, { "cell_type": "code", "execution_count": 6, "id": "72978102", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.434873Z", "iopub.status.busy": "2021-08-07T19:03:47.422025Z", "iopub.status.idle": "2021-08-07T19:03:47.438536Z", "shell.execute_reply": "2021-08-07T19:03:47.437902Z", "shell.execute_reply.started": "2021-08-07T17:32:54.131193Z" }, "papermill": { "duration": 0.051615, "end_time": "2021-08-07T19:03:47.438670", "exception": false, "start_time": "2021-08-07T19:03:47.387055", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>PassengerId</th>\n", " <th>Survived</th>\n", " <th>Pclass</th>\n", " <th>Sex</th>\n", " <th>Age</th>\n", " <th>SibSp</th>\n", " <th>Parch</th>\n", " <th>Fare</th>\n", " <th>Embarked</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>male</td>\n", " <td>22.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>7.2500</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>female</td>\n", " <td>38.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>71.2833</td>\n", " <td>C</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>1</td>\n", " <td>3</td>\n", " <td>female</td>\n", " <td>26.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>7.9250</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>female</td>\n", " <td>35.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>53.1000</td>\n", " <td>S</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>5</td>\n", " <td>0</td>\n", " <td>3</td>\n", " <td>male</td>\n", " <td>35.0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>8.0500</td>\n", " <td>S</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " PassengerId Survived Pclass Sex Age SibSp Parch Fare Embarked\n", "0 1 0 3 male 22.0 1 0 7.2500 S\n", "1 2 1 1 female 38.0 1 0 71.2833 C\n", "2 3 1 3 female 26.0 0 0 7.9250 S\n", "3 4 1 1 female 35.0 1 0 53.1000 S\n", "4 5 0 3 male 35.0 0 0 8.0500 S" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Cabin has 687 out of 891 values missing i n train data and 327/418 in test, so dropping Cabin column\n", "\n", "train_data = train_data.drop([\"Name\", \"Ticket\", 'Cabin'], axis = 1)\n", "test_data = test_data.drop([\"Name\", \"Ticket\", 'Cabin'], axis = 1)\n", "train_data.head()" ] }, { "cell_type": "code", "execution_count": 7, "id": "a077d400", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.504136Z", "iopub.status.busy": "2021-08-07T19:03:47.503200Z", "iopub.status.idle": "2021-08-07T19:03:47.508422Z", "shell.execute_reply": "2021-08-07T19:03:47.507839Z", "shell.execute_reply.started": "2021-08-07T17:32:57.859008Z" }, "papermill": { "duration": 0.042449, "end_time": "2021-08-07T19:03:47.508574", "exception": false, "start_time": "2021-08-07T19:03:47.466125", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "S 644\n", "C 168\n", "Q 77\n", "Name: Embarked, dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data[\"Embarked\"].value_counts()" ] }, { "cell_type": "code", "execution_count": 8, "id": "0d208a02", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.570299Z", "iopub.status.busy": "2021-08-07T19:03:47.569547Z", "iopub.status.idle": "2021-08-07T19:03:47.571742Z", "shell.execute_reply": "2021-08-07T19:03:47.571125Z", "shell.execute_reply.started": "2021-08-07T17:33:03.653269Z" }, "papermill": { "duration": 0.035246, "end_time": "2021-08-07T19:03:47.571895", "exception": false, "start_time": "2021-08-07T19:03:47.536649", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# replacing missing data in Embarked with S\n", "train_data[\"Embarked\"].fillna(\"S\",inplace=True)" ] }, { "cell_type": "code", "execution_count": 9, "id": "95916474", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.648942Z", "iopub.status.busy": "2021-08-07T19:03:47.648278Z", "iopub.status.idle": "2021-08-07T19:03:47.652148Z", "shell.execute_reply": "2021-08-07T19:03:47.651500Z", "shell.execute_reply.started": "2021-08-07T17:33:08.622107Z" }, "papermill": { "duration": 0.050659, "end_time": "2021-08-07T19:03:47.652300", "exception": false, "start_time": "2021-08-07T19:03:47.601641", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Sex 891 non-null object \n", " 4 Age 714 non-null float64\n", " 5 SibSp 891 non-null int64 \n", " 6 Parch 891 non-null int64 \n", " 7 Fare 891 non-null float64\n", " 8 Embarked 891 non-null object \n", "dtypes: float64(2), int64(5), object(2)\n", "memory usage: 62.8+ KB\n" ] } ], "source": [ "train_data.info()\n", "# gender & Embarked is an object datatype" ] }, { "cell_type": "code", "execution_count": 10, "id": "1886f490", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.714853Z", "iopub.status.busy": "2021-08-07T19:03:47.714114Z", "iopub.status.idle": "2021-08-07T19:03:47.913105Z", "shell.execute_reply": "2021-08-07T19:03:47.912486Z", "shell.execute_reply.started": "2021-08-07T18:42:47.979576Z" }, "papermill": { "duration": 0.232671, "end_time": "2021-08-07T19:03:47.913269", "exception": false, "start_time": "2021-08-07T19:03:47.680598", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib as plt\n", "train_data.boxplot(column=['Age'])\n", "# there are outliers, so imputing missing values in Age by median value" ] }, { "cell_type": "code", "execution_count": 11, "id": "d3294cb6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:47.985262Z", "iopub.status.busy": "2021-08-07T19:03:47.984526Z", "iopub.status.idle": "2021-08-07T19:03:47.987786Z", "shell.execute_reply": "2021-08-07T19:03:47.987103Z", "shell.execute_reply.started": "2021-08-07T18:44:24.798311Z" }, "papermill": { "duration": 0.043699, "end_time": "2021-08-07T19:03:47.987954", "exception": false, "start_time": "2021-08-07T19:03:47.944255", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import math\n", "female_mean, male_mean = train_data.groupby(\"Sex\")[\"Age\"].median()\n", "def fill_age(age,sex):\n", " if math.isnan(age):\n", " if sex == \"male\":\n", " return male_mean\n", " else:\n", " return female_mean\n", " else:\n", " return age" ] }, { "cell_type": "code", "execution_count": 12, "id": "ccd67c1a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.052377Z", "iopub.status.busy": "2021-08-07T19:03:48.051662Z", "iopub.status.idle": "2021-08-07T19:03:48.075031Z", "shell.execute_reply": "2021-08-07T19:03:48.074360Z", "shell.execute_reply.started": "2021-08-07T18:44:30.657014Z" }, "papermill": { "duration": 0.057581, "end_time": "2021-08-07T19:03:48.075207", "exception": false, "start_time": "2021-08-07T19:03:48.017626", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "train_data[\"Age\"] = train_data.apply(lambda row : fill_age(row[\"Age\"],row[\"Sex\"]),axis = 1)" ] }, { "cell_type": "code", "execution_count": 13, "id": "ec731507", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.155879Z", "iopub.status.busy": "2021-08-07T19:03:48.155201Z", "iopub.status.idle": "2021-08-07T19:03:48.159579Z", "shell.execute_reply": "2021-08-07T19:03:48.158958Z", "shell.execute_reply.started": "2021-08-07T18:44:37.063526Z" }, "papermill": { "duration": 0.048434, "end_time": "2021-08-07T19:03:48.159734", "exception": false, "start_time": "2021-08-07T19:03:48.111300", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Sex 0\n", "Age 0\n", "SibSp 0\n", "Parch 0\n", "Fare 0\n", "Embarked 0\n", "dtype: int64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data.isnull().sum() " ] }, { "cell_type": "code", "execution_count": 14, "id": "6c31138e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.254252Z", "iopub.status.busy": "2021-08-07T19:03:48.246663Z", "iopub.status.idle": "2021-08-07T19:03:48.365918Z", "shell.execute_reply": "2021-08-07T19:03:48.365181Z", "shell.execute_reply.started": "2021-08-07T18:45:26.058530Z" }, "papermill": { "duration": 0.176404, "end_time": "2021-08-07T19:03:48.366096", "exception": false, "start_time": "2021-08-07T19:03:48.189692", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "test_data.boxplot(column=['Age'])" ] }, { "cell_type": "code", "execution_count": 15, "id": "96a0fb5e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.444085Z", "iopub.status.busy": "2021-08-07T19:03:48.433647Z", "iopub.status.idle": "2021-08-07T19:03:48.447409Z", "shell.execute_reply": "2021-08-07T19:03:48.446853Z", "shell.execute_reply.started": "2021-08-07T18:45:37.829958Z" }, "papermill": { "duration": 0.051129, "end_time": "2021-08-07T19:03:48.447574", "exception": false, "start_time": "2021-08-07T19:03:48.396445", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import math\n", "female_mean, male_mean = test_data.groupby(\"Sex\")[\"Age\"].median()\n", "def fill_age(age,sex):\n", " if math.isnan(age):\n", " if sex == \"male\":\n", " return male_mean\n", " else:\n", " return female_mean\n", " else:\n", " return age\n", "test_data[\"Age\"] = test_data.apply(lambda row : fill_age(row[\"Age\"],row[\"Sex\"]),axis = 1)" ] }, { "cell_type": "code", "execution_count": 16, "id": "08158d00", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.517238Z", "iopub.status.busy": "2021-08-07T19:03:48.516563Z", "iopub.status.idle": "2021-08-07T19:03:48.519597Z", "shell.execute_reply": "2021-08-07T19:03:48.520196Z", "shell.execute_reply.started": "2021-08-07T18:45:48.458700Z" }, "papermill": { "duration": 0.041547, "end_time": "2021-08-07T19:03:48.520372", "exception": false, "start_time": "2021-08-07T19:03:48.478825", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "PassengerId 0\n", "Pclass 0\n", "Sex 0\n", "Age 0\n", "SibSp 0\n", "Parch 0\n", "Fare 1\n", "Embarked 0\n", "dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_data.isnull().sum() " ] }, { "cell_type": "code", "execution_count": 17, "id": "c8797401", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.584821Z", "iopub.status.busy": "2021-08-07T19:03:48.584219Z", "iopub.status.idle": "2021-08-07T19:03:48.594206Z", "shell.execute_reply": "2021-08-07T19:03:48.593657Z", "shell.execute_reply.started": "2021-08-07T18:45:54.358233Z" }, "papermill": { "duration": 0.043227, "end_time": "2021-08-07T19:03:48.594339", "exception": false, "start_time": "2021-08-07T19:03:48.551112", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(418, 8)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_data['Fare'].fillna(80.0, inplace = True)\n", "test_data.isna().sum()\n", "test_data.shape" ] }, { "cell_type": "code", "execution_count": 18, "id": "0d7c42a2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.669162Z", "iopub.status.busy": "2021-08-07T19:03:48.668103Z", "iopub.status.idle": "2021-08-07T19:03:48.683848Z", "shell.execute_reply": "2021-08-07T19:03:48.684580Z", "shell.execute_reply.started": "2021-08-07T18:46:01.325117Z" }, "papermill": { "duration": 0.059609, "end_time": "2021-08-07T19:03:48.684875", "exception": false, "start_time": "2021-08-07T19:03:48.625266", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(891, 5)\n", "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 5 columns):\n", " # Column Non-Null Count Dtype\n", "--- ------ -------------- -----\n", " 0 Sex_female 891 non-null uint8\n", " 1 Sex_male 891 non-null uint8\n", " 2 Embarked_C 891 non-null uint8\n", " 3 Embarked_Q 891 non-null uint8\n", " 4 Embarked_S 891 non-null uint8\n", "dtypes: uint8(5)\n", "memory usage: 4.5 KB\n" ] } ], "source": [ "#Divide dataframe to 2 parts(num and str)\n", "train_num=train_data.select_dtypes(exclude=\"object\")\n", "train_obj=train_data.select_dtypes(include=\"object\")\n", "train_obj=pd.get_dummies(train_obj)#use one-hot encoding to transform str to int and float\n", "print(train_obj.shape)\n", "train_obj.info()" ] }, { "cell_type": "code", "execution_count": 19, "id": "70f63922", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.752830Z", "iopub.status.busy": "2021-08-07T19:03:48.752157Z", "iopub.status.idle": "2021-08-07T19:03:48.769131Z", "shell.execute_reply": "2021-08-07T19:03:48.768494Z", "shell.execute_reply.started": "2021-08-07T18:46:09.264362Z" }, "papermill": { "duration": 0.051386, "end_time": "2021-08-07T19:03:48.769292", "exception": false, "start_time": "2021-08-07T19:03:48.717906", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Age 891 non-null float64\n", " 4 SibSp 891 non-null int64 \n", " 5 Parch 891 non-null int64 \n", " 6 Fare 891 non-null float64\n", " 7 Sex_female 891 non-null uint8 \n", " 8 Sex_male 891 non-null uint8 \n", " 9 Embarked_C 891 non-null uint8 \n", " 10 Embarked_Q 891 non-null uint8 \n", " 11 Embarked_S 891 non-null uint8 \n", "dtypes: float64(2), int64(5), uint8(5)\n", "memory usage: 53.2 KB\n" ] } ], "source": [ "final_train=pd.concat([train_num,train_obj], axis=1)\n", "final_train.info()" ] }, { "cell_type": "code", "execution_count": 20, "id": "117a7468", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.837109Z", "iopub.status.busy": "2021-08-07T19:03:48.836424Z", "iopub.status.idle": "2021-08-07T19:03:48.846110Z", "shell.execute_reply": "2021-08-07T19:03:48.845101Z", "shell.execute_reply.started": "2021-08-07T18:46:15.173297Z" }, "papermill": { "duration": 0.044511, "end_time": "2021-08-07T19:03:48.846392", "exception": false, "start_time": "2021-08-07T19:03:48.801881", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% of men who survived: 18.89\n" ] } ], "source": [ "# % of male passengers (in train.csv) who survived\n", "men = train_data.loc[train_data.Sex == 'male'][\"Survived\"]\n", "rate_men = round((sum(men)/len(men))100,2)\n", "\n", "print(\"% of men who survived:\", rate_men)" ] }, { "cell_type": "code", "execution_count": 21, "id": "a489ac08", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:48.920633Z", "iopub.status.busy": "2021-08-07T19:03:48.919834Z", "iopub.status.idle": "2021-08-07T19:03:48.923813Z", "shell.execute_reply": "2021-08-07T19:03:48.924322Z", "shell.execute_reply.started": "2021-08-07T18:46:21.506025Z" }, "papermill": { "duration": 0.044658, "end_time": "2021-08-07T19:03:48.924518", "exception": false, "start_time": "2021-08-07T19:03:48.879860", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "% of women who survived: 74.2\n" ] } ], "source": [ "# % of female passengers (in train.csv) who survived\n", "women = train_data.loc[train_data.Sex == 'female'][\"Survived\"]\n", "rate_women = round((sum(women)/len(women))100,2)\n", "\n", "print(\"% of women who survived:\", rate_women)" ] }, { "cell_type": "code", "execution_count": 22, "id": "c7800caf", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:49.006102Z", "iopub.status.busy": "2021-08-07T19:03:49.005023Z", "iopub.status.idle": "2021-08-07T19:03:49.018670Z", "shell.execute_reply": "2021-08-07T19:03:49.019445Z", "shell.execute_reply.started": "2021-08-07T18:46:26.820494Z" }, "papermill": { "duration": 0.060857, "end_time": "2021-08-07T19:03:49.019687", "exception": false, "start_time": "2021-08-07T19:03:48.958830", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['PassengerId', 'Survived', 'Pclass', 'Sex', 'Age', 'SibSp', 'Parch',\n", " 'Fare', 'Embarked'],\n", " dtype='object')\n", "(891, 9)\n", "(418, 9)\n", "(891,)\n" ] } ], "source": [ "# seggregating into X and Y df\n", "#X = final_final.drop(\"Survived\",axis=1)\n", "y_train = train_data[\"Survived\"]\n", "\n", "print(train_data.columns)\n", "features =['PassengerId', 'Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked']\n", "# features common to train_data & test_data is taken, all features r common except Survival is missing in test_data\n", "\n", "#features = [\"Pclass\", \"Sex\", \"SibSp\", \"Parch\"] # 4 columns\n", "X_train = pd.get_dummies(train_data[features], drop_first=True)\n", "X_test = pd.get_dummies(test_data[features], drop_first=True)\n", "#print(X_test.shape) # (418,5)\n", "#from sklearn.model_selection import train_test_split\n", "#X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.33, random_state=1)\n", "print(X_train.shape)\n", "print(X_test.shape)\n", "print(y_train.shape)" ] }, { "cell_type": "code", "execution_count": 23, "id": "f2acc5c1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:49.090738Z", "iopub.status.busy": "2021-08-07T19:03:49.090128Z", "iopub.status.idle": "2021-08-07T19:03:50.546651Z", "shell.execute_reply": "2021-08-07T19:03:50.547168Z", "shell.execute_reply.started": "2021-08-07T18:46:33.490961Z" }, "papermill": { "duration": 1.493182, "end_time": "2021-08-07T19:03:50.547335", "exception": false, "start_time": "2021-08-07T19:03:49.054153", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0.819304152637486" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# constructing RF model based on patterns in train.csv\n", "from sklearn.ensemble import RandomForestClassifier\n", "\n", "model = RandomForestClassifier(n_estimators=100, bootstrap=True, max_depth=5, max_features = 'auto', random_state=1, oob_score=True)\n", "model.fit(X_train, y_train)\n", "model.oob_score_\n", "# bootstrap = True (default), max_features = auto (default) auto means cols taken=sqrt(no. of cols)" ] }, { "cell_type": "code", "execution_count": 24, "id": "18bb8598", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:03:50.616191Z", "iopub.status.busy": "2021-08-07T19:03:50.615500Z", "iopub.status.idle": "2021-08-07T19:05:41.884076Z", "shell.execute_reply": "2021-08-07T19:05:41.884590Z", "shell.execute_reply.started": "2021-08-07T18:46:52.718004Z" }, "papermill": { "duration": 111.304887, "end_time": "2021-08-07T19:05:41.884796", "exception": false, "start_time": "2021-08-07T19:03:50.579909", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "{'criterion': 'entropy',\n", " 'max_depth': 5,\n", " 'min_samples_leaf': 9,\n", " 'min_samples_split': 27,\n", " 'n_estimators': 200}" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# hyperparamter optimization\n", "from sklearn.model_selection import GridSearchCV \n", "\n", "param_grid = { # dictionary\n", " 'max_depth': [5, 10],\n", " 'n_estimators': [100, 200],\n", " 'criterion': [\"gini\", \"entropy\"],\n", " 'min_samples_leaf': [9, 20],\n", " 'min_samples_split': [27, 60],\n", "}\n", "\n", "model = RandomForestClassifier()\n", "\n", "grid_search = GridSearchCV(estimator = model, param_grid = param_grid, cv = 10) \n", "grid_search.fit(X_train, y_train)\n", "grid_search.best_params_ # best parameters out of all possible combinations" ] }, { "cell_type": "code", "execution_count": 25, "id": "325bea08", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:41.963368Z", "iopub.status.busy": "2021-08-07T19:05:41.962706Z", "iopub.status.idle": "2021-08-07T19:05:42.538308Z", "shell.execute_reply": "2021-08-07T19:05:42.538825Z", "shell.execute_reply.started": "2021-08-07T18:49:08.949215Z" }, "papermill": { "duration": 0.621359, "end_time": "2021-08-07T19:05:42.539053", "exception": false, "start_time": "2021-08-07T19:05:41.917694", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0.8271604938271605" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# building model again based on best paramters\n", "model = RandomForestClassifier(criterion='entropy', n_estimators = 200, max_depth=5, min_samples_leaf=9, min_samples_split=27, oob_score=True)\n", "model.fit(X_train, y_train)\n", "model.oob_score_" ] }, { "cell_type": "code", "execution_count": 26, "id": "1c42df8e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:42.614823Z", "iopub.status.busy": "2021-08-07T19:05:42.613959Z", "iopub.status.idle": "2021-08-07T19:05:42.644779Z", "shell.execute_reply": "2021-08-07T19:05:42.644232Z", "shell.execute_reply.started": "2021-08-07T18:49:18.659373Z" }, "papermill": { "duration": 0.072567, "end_time": "2021-08-07T19:05:42.644923", "exception": false, "start_time": "2021-08-07T19:05:42.572356", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# predictions for passangers in train.csv\n", "#y_train_predict = model.predict(X_train) # array\n", "#y_train_predict = pd.DataFrame(y_train_predict1) # array to df\n", "# predictions for passengers in test.csv\n", "y_test_pred = model.predict(X_test)\n", "#y_test_predict = pd.DataFrame(y_test_predict1) # array to df\n", "\n", "# since kaggle wants predictions on total 418 rows (train rows + test rows)\n", "# that means i had to do prediction on y (y_predict) and then join/concatenate\n", "#y_predict=pd.concat([y_train_predict,y_test_predict], axis=1)\n", "#y_predict.shape" ] }, { "cell_type": "code", "execution_count": 27, "id": "ef15918f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:42.719314Z", "iopub.status.busy": "2021-08-07T19:05:42.718602Z", "iopub.status.idle": "2021-08-07T19:05:42.731435Z", "shell.execute_reply": "2021-08-07T19:05:42.731912Z", "shell.execute_reply.started": "2021-08-07T18:49:24.087684Z" }, "papermill": { "duration": 0.053506, "end_time": "2021-08-07T19:05:42.732125", "exception": false, "start_time": "2021-08-07T19:05:42.678619", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your submission was successfully saved!\n" ] }, { "data": { "text/plain": [ "(418, 2)" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# save predictions in csv file\n", "output = pd.DataFrame({'PassengerId': test_data.PassengerId, 'Survived': y_test_pred})\n", "output.to_csv('my_submission.csv', index=False)\n", "print(\"Your submission was successfully saved!\")\n", "df = pd.read_csv(\"my_submission.csv\")\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 28, "id": "a497eb55", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:42.804246Z", "iopub.status.busy": "2021-08-07T19:05:42.803510Z", "iopub.status.idle": "2021-08-07T19:05:42.847328Z", "shell.execute_reply": "2021-08-07T19:05:42.846794Z", "shell.execute_reply.started": "2021-08-07T18:49:29.643727Z" }, "papermill": { "duration": 0.081045, "end_time": "2021-08-07T19:05:42.847484", "exception": false, "start_time": "2021-08-07T19:05:42.766439", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<style type=\"text/css\" >\n", "#T_23cba_row0_col0,#T_23cba_row0_col1,#T_23cba_row1_col0,#T_23cba_row1_col1,#T_23cba_row2_col0,#T_23cba_row2_col1,#T_23cba_row3_col0,#T_23cba_row3_col1,#T_23cba_row4_col0,#T_23cba_row4_col1{\n", " background-color: peachpuff;\n", " color: midnightblue;\n", " border: 1.5px solid black;\n", " }</style><table id=\"T_23cba_\" ><caption>Submission Dataframe</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >PassengerId</th> <th class=\"col_heading level0 col1\" >Survived</th> </tr></thead><tbody>\n", " <tr>\n", " <th id=\"T_23cba_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n", " <td id=\"T_23cba_row0_col0\" class=\"data row0 col0\" >892</td>\n", " <td id=\"T_23cba_row0_col1\" class=\"data row0 col1\" >0</td>\n", " </tr>\n", " <tr>\n", " <th id=\"T_23cba_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n", " <td id=\"T_23cba_row1_col0\" class=\"data row1 col0\" >893</td>\n", " <td id=\"T_23cba_row1_col1\" class=\"data row1 col1\" >0</td>\n", " </tr>\n", " <tr>\n", " <th id=\"T_23cba_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n", " <td id=\"T_23cba_row2_col0\" class=\"data row2 col0\" >894</td>\n", " <td id=\"T_23cba_row2_col1\" class=\"data row2 col1\" >0</td>\n", " </tr>\n", " <tr>\n", " <th id=\"T_23cba_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n", " <td id=\"T_23cba_row3_col0\" class=\"data row3 col0\" >895</td>\n", " <td id=\"T_23cba_row3_col1\" class=\"data row3 col1\" >0</td>\n", " </tr>\n", " <tr>\n", " <th id=\"T_23cba_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n", " <td id=\"T_23cba_row4_col0\" class=\"data row4 col0\" >896</td>\n", " <td id=\"T_23cba_row4_col1\" class=\"data row4 col1\" >1</td>\n", " </tr>\n", " </tbody></table>" ], "text/plain": [ "<pandas.io.formats.style.Styler at 0x7f43e99f7250>" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "output.head().style.set_caption(\"Submission Dataframe\").set_properties(**{'background-color': 'peachpuff',\n", " 'color': 'midnightblue','border': '1.5px solid black'})" ] }, { "cell_type": "code", "execution_count": 29, "id": "5d31f419", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:42.923114Z", "iopub.status.busy": "2021-08-07T19:05:42.922447Z", "iopub.status.idle": "2021-08-07T19:05:42.925435Z", "shell.execute_reply": "2021-08-07T19:05:42.924845Z", "shell.execute_reply.started": "2021-08-07T18:11:15.157882Z" }, "papermill": { "duration": 0.042979, "end_time": "2021-08-07T19:05:42.925588", "exception": false, "start_time": "2021-08-07T19:05:42.882609", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# model evaluation\n", "#from sklearn.metrics import confusion_matrix,classification_report\n", "#print(confusion_matrix(y_test,y_test_pred))\n", "#print(classification_report(y_test, y_test_ypred))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 125.845366, "end_time": "2021-08-07T19:05:43.974386", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:03:38.129020", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/600/70600432.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "ecd4f7b2", "metadata": { "papermill": { "duration": 0.024413, "end_time": "2021-08-07T19:05:01.650750", "exception": false, "start_time": "2021-08-07T19:05:01.626337", "status": "completed" }, "tags": [] }, "source": [ "This notebook contains Exploratory data analysis done on the movies present on the four major OTT Platfroms Netflix, Prime Video, Disney+ and Hulu.\n", "\n", "I hope you find this kernel helpful and some <span style=\"color:red\">UPVOTES</span> would be very much appreciated." ] }, { "cell_type": "markdown", "id": "a2229b42", "metadata": { "papermill": { "duration": 0.022827, "end_time": "2021-08-07T19:05:01.697709", "exception": false, "start_time": "2021-08-07T19:05:01.674882", "status": "completed" }, "tags": [] }, "source": [ "### Importing the required libraries" ] }, { "cell_type": "code", "execution_count": 1, "id": "35ac5327", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:01.754952Z", "iopub.status.busy": "2021-08-07T19:05:01.754357Z", "iopub.status.idle": "2021-08-07T19:05:02.695548Z", "shell.execute_reply": "2021-08-07T19:05:02.694635Z", "shell.execute_reply.started": "2021-08-07T19:00:33.717919Z" }, "papermill": { "duration": 0.975089, "end_time": "2021-08-07T19:05:02.695736", "exception": false, "start_time": "2021-08-07T19:05:01.720647", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "id": "d1fccdf9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:02.747737Z", "iopub.status.busy": "2021-08-07T19:05:02.747093Z", "iopub.status.idle": "2021-08-07T19:05:02.750295Z", "shell.execute_reply": "2021-08-07T19:05:02.749708Z", "shell.execute_reply.started": "2021-08-07T19:00:33.727959Z" }, "papermill": { "duration": 0.030796, "end_time": "2021-08-07T19:05:02.750417", "exception": false, "start_time": "2021-08-07T19:05:02.719621", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "markdown", "id": "4ccee0f8", "metadata": { "papermill": { "duration": 0.022499, "end_time": "2021-08-07T19:05:02.795658", "exception": false, "start_time": "2021-08-07T19:05:02.773159", "status": "completed" }, "tags": [] }, "source": [ "### Load the dataset" ] }, { "cell_type": "code", "execution_count": 3, "id": "bce0320b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:02.854023Z", "iopub.status.busy": "2021-08-07T19:05:02.853249Z", "iopub.status.idle": "2021-08-07T19:05:02.963448Z", "shell.execute_reply": "2021-08-07T19:05:02.962935Z", "shell.execute_reply.started": "2021-08-07T19:00:33.755578Z" }, "papermill": { "duration": 0.145156, "end_time": "2021-08-07T19:05:02.963571", "exception": false, "start_time": "2021-08-07T19:05:02.818415", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Unnamed: 0</th>\n", " <th>ID</th>\n", " <th>Title</th>\n", " <th>Year</th>\n", " <th>Age</th>\n", " <th>IMDb</th>\n", " <th>Rotten Tomatoes</th>\n", " <th>Netflix</th>\n", " <th>Hulu</th>\n", " <th>Prime Video</th>\n", " <th>Disney+</th>\n", " <th>Type</th>\n", " <th>Directors</th>\n", " <th>Genres</th>\n", " <th>Country</th>\n", " <th>Language</th>\n", " <th>Runtime</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>The Irishman</td>\n", " <td>2019</td>\n", " <td>18+</td>\n", " <td>7.8/10</td>\n", " <td>98/100</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Martin Scorsese</td>\n", " <td>Biography,Crime,Drama</td>\n", " <td>United States</td>\n", " <td>English,Italian,Latin,Spanish,German</td>\n", " <td>209.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>1</td>\n", " <td>2</td>\n", " <td>Dangal</td>\n", " <td>2016</td>\n", " <td>7+</td>\n", " <td>8.4/10</td>\n", " <td>97/100</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Nitesh Tiwari</td>\n", " <td>Action,Biography,Drama,Sport</td>\n", " <td>India,United States,United Kingdom,Australia,K...</td>\n", " <td>Hindi,English</td>\n", " <td>161.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>2</td>\n", " <td>3</td>\n", " <td>David Attenborough: A Life on Our Planet</td>\n", " <td>2020</td>\n", " <td>7+</td>\n", " <td>9.0/10</td>\n", " <td>95/100</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Alastair Fothergill,Jonathan Hughes,Keith Scholey</td>\n", " <td>Documentary,Biography</td>\n", " <td>United Kingdom</td>\n", " <td>English</td>\n", " <td>83.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>3</td>\n", " <td>4</td>\n", " <td>Lagaan: Once Upon a Time in India</td>\n", " <td>2001</td>\n", " <td>7+</td>\n", " <td>8.1/10</td>\n", " <td>94/100</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Ashutosh Gowariker</td>\n", " <td>Drama,Musical,Sport</td>\n", " <td>India,United Kingdom</td>\n", " <td>Hindi,English</td>\n", " <td>224.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>4</td>\n", " <td>5</td>\n", " <td>Roma</td>\n", " <td>2018</td>\n", " <td>18+</td>\n", " <td>7.7/10</td>\n", " <td>94/100</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>Action,Drama,History,Romance,War</td>\n", " <td>United Kingdom,United States</td>\n", " <td>English</td>\n", " <td>52.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Unnamed: 0 ID Title Year Age \\\n", "0 0 1 The Irishman 2019 18+ \n", "1 1 2 Dangal 2016 7+ \n", "2 2 3 David Attenborough: A Life on Our Planet 2020 7+ \n", "3 3 4 Lagaan: Once Upon a Time in India 2001 7+ \n", "4 4 5 Roma 2018 18+ \n", "\n", " IMDb Rotten Tomatoes Netflix Hulu Prime Video Disney+ Type \\\n", "0 7.8/10 98/100 1 0 0 0 0 \n", "1 8.4/10 97/100 1 0 0 0 0 \n", "2 9.0/10 95/100 1 0 0 0 0 \n", "3 8.1/10 94/100 1 0 0 0 0 \n", "4 7.7/10 94/100 1 0 0 0 0 \n", "\n", " Directors \\\n", "0 Martin Scorsese \n", "1 Nitesh Tiwari \n", "2 Alastair Fothergill,Jonathan Hughes,Keith Scholey \n", "3 Ashutosh Gowariker \n", "4 NaN \n", "\n", " Genres \\\n", "0 Biography,Crime,Drama \n", "1 Action,Biography,Drama,Sport \n", "2 Documentary,Biography \n", "3 Drama,Musical,Sport \n", "4 Action,Drama,History,Romance,War \n", "\n", " Country \\\n", "0 United States \n", "1 India,United States,United Kingdom,Australia,K... \n", "2 United Kingdom \n", "3 India,United Kingdom \n", "4 United Kingdom,United States \n", "\n", " Language Runtime \n", "0 English,Italian,Latin,Spanish,German 209.0 \n", "1 Hindi,English 161.0 \n", "2 English 83.0 \n", "3 Hindi,English 224.0 \n", "4 English 52.0 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_csv('/kaggle/input/movies-on-netflix-prime-video-hulu-and-disney/MoviesOnStreamingPlatforms_updated.csv')\n", "df.head()" ] }, { "cell_type": "markdown", "id": "7b2d6f67", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:48:49.885658Z", "iopub.status.busy": "2021-08-07T18:48:49.885160Z", "iopub.status.idle": "2021-08-07T18:48:50.631974Z", "shell.execute_reply": "2021-08-07T18:48:50.631004Z", "shell.execute_reply.started": "2021-08-07T18:48:49.885626Z" }, "papermill": { "duration": 0.02324, "end_time": "2021-08-07T19:05:03.010303", "exception": false, "start_time": "2021-08-07T19:05:02.987063", "status": "completed" }, "tags": [] }, "source": [ "The dataset contains three unwanted columns 1. Unnamed: 0 and 2. ID, 3. Type. \n", "\n", "\n", "Removing the unnecessary columns from the dataset" ] }, { "cell_type": "code", "execution_count": 4, "id": "6022e41e", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:03.067164Z", "iopub.status.busy": "2021-08-07T19:05:03.066529Z", "iopub.status.idle": "2021-08-07T19:05:03.068532Z", "shell.execute_reply": "2021-08-07T19:05:03.069029Z", "shell.execute_reply.started": "2021-08-07T19:00:33.836412Z" }, "papermill": { "duration": 0.035963, "end_time": "2021-08-07T19:05:03.069186", "exception": false, "start_time": "2021-08-07T19:05:03.033223", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "df = df.drop(['Unnamed: 0', 'ID', 'Type'], axis='columns')" ] }, { "cell_type": "markdown", "id": "5460ef01", "metadata": { "papermill": { "duration": 0.023248, "end_time": "2021-08-07T19:05:03.115493", "exception": false, "start_time": "2021-08-07T19:05:03.092245", "status": "completed" }, "tags": [] }, "source": [ "Now the dataset contains the following columns\n", "\n", "\n", "\n", "1. Title: The Title of the Movie\n", "2. Year: The Year in which the Movie was released\n", "3. Age: Age Required for watching the movie\n", "4. IMDb: The IMDb Score of the Movie (out of 10)\n", "5. Rotten Tomatoes: The Rotten Tomatoes Score of the Movie (out of 100)\n", "6. Netflix: Whether the movie is present on Netflix or not (1 for True, 0 for False)\n", "7. Hulu: Whether the movie is present on Hulu or not (1 for True, 0 for False)\n", "8. Prime Video: Whether the movie is present on Prime Video or not (1 for True, 0 for False)\n", "9. Disney+: Whether the movie is present on Disney+ or not (1 for True, 0 for False)\n", "10. Directors: Director(s) of the Movie\n", "11. Genres: Genres of the Movies\n", "12. Country: Countries in which the movie was directed\n", "13. Language: Language(s) in which the movie is available" ] }, { "cell_type": "markdown", "id": "84c5caad", "metadata": { "papermill": { "duration": 0.022722, "end_time": "2021-08-07T19:05:03.161066", "exception": false, "start_time": "2021-08-07T19:05:03.138344", "status": "completed" }, "tags": [] }, "source": [ "### Features of columns in the dataset" ] }, { "cell_type": "code", "execution_count": 5, "id": "1b63d26a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:03.233477Z", "iopub.status.busy": "2021-08-07T19:05:03.221094Z", "iopub.status.idle": "2021-08-07T19:05:03.237149Z", "shell.execute_reply": "2021-08-07T19:05:03.237656Z", "shell.execute_reply.started": "2021-08-07T19:00:33.845370Z" }, "papermill": { "duration": 0.053233, "end_time": "2021-08-07T19:05:03.237855", "exception": false, "start_time": "2021-08-07T19:05:03.184622", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 9515 entries, 0 to 9514\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Title 9515 non-null object \n", " 1 Year 9515 non-null int64 \n", " 2 Age 5338 non-null object \n", " 3 IMDb 9309 non-null object \n", " 4 Rotten Tomatoes 9508 non-null object \n", " 5 Netflix 9515 non-null int64 \n", " 6 Hulu 9515 non-null int64 \n", " 7 Prime Video 9515 non-null int64 \n", " 8 Disney+ 9515 non-null int64 \n", " 9 Directors 9104 non-null object \n", " 10 Genres 9399 non-null object \n", " 11 Country 9261 non-null object \n", " 12 Language 9202 non-null object \n", " 13 Runtime 9196 non-null float64\n", "dtypes: float64(1), int64(5), object(8)\n", "memory usage: 1.0+ MB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "id": "b0923e88", "metadata": { "papermill": { "duration": 0.022606, "end_time": "2021-08-07T19:05:03.284258", "exception": false, "start_time": "2021-08-07T19:05:03.261652", "status": "completed" }, "tags": [] }, "source": [ "It looks like the dataset has Null values present in it. Let's check the dataset for null values" ] }, { "cell_type": "markdown", "id": "59fc3227", "metadata": { "papermill": { "duration": 0.022895, "end_time": "2021-08-07T19:05:03.330043", "exception": false, "start_time": "2021-08-07T19:05:03.307148", "status": "completed" }, "tags": [] }, "source": [ "### Checking for Null values in the dataset" ] }, { "cell_type": "code", "execution_count": 6, "id": "f9bc58f9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:03.388900Z", "iopub.status.busy": "2021-08-07T19:05:03.387893Z", "iopub.status.idle": "2021-08-07T19:05:03.410647Z", "shell.execute_reply": "2021-08-07T19:05:03.409973Z", "shell.execute_reply.started": "2021-08-07T19:00:33.880592Z" }, "papermill": { "duration": 0.058026, "end_time": "2021-08-07T19:05:03.410807", "exception": false, "start_time": "2021-08-07T19:05:03.352781", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "null_values = pd.DataFrame(df.isnull().sum() / df.shape[0] * 100).reset_index()\n", "null_values = null_values.rename(columns={'index':'Column Name', 0:'Percentage Missing'})\n", "null_values = null_values[null_values['Percentage Missing'] > 0].sort_values(by='Percentage Missing', ascending=False)" ] }, { "cell_type": "code", "execution_count": 7, "id": "05846fd4", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T19:05:03.479083Z", "iopub.status.busy": "2021-08-07T19:05:03.475466Z", "iopub.status.idle": "2021-08-07T19:05:03.664851Z", "shell.execute_reply": "2021-08-07T19:05:03.664036Z", "shell.execute_reply.started": "2021-08-07T19:00:33.905611Z" }, "papermill": { "duration": 0.230639, "end_time": "2021-08-07T19:05:03.664988", "exception": false, "start_time": "2021-08-07T19:05:03.434349", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 10))\n", "sns.set_style(\"white\")\n", "\n", "plt.title(\"Percentage of Missing Values in the dataset\", fontsize=25)\n", "\n", "labels = null_values['Column Name'].tolist()\n", "sizes = [percent for percent in null_values['Percentage Missing'].tolist()]\n", "colors = ['#845EC2', '#00C9A7','#C4FCEF','#4D8076',\"#B39CD0\",\"#FBEAFF\",\"#F3C5FF\",\"#FEFEDF\"]\n", "\n", "plt.pie(sizes,labels=labels, startangle=180, autopct='%1.1f%%',\n", " colors=colors,\n", " wedgeprops = { 'linewidth' : 3, 'edgecolor' : 'white' },\n", " labeldistance=1.15)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "445743cd", "metadata": { "papermill": { "duration": 0.02507, "end_time": "2021-08-07T19:05:03.716401", "exception": false, "start_time": "2021-08-07T19:05:03.691331", "status": "completed" }, "tags": [] }, "source": [ "The IMDb and Rotten Tomatoes scores are strings, let's convert them to numeric values and also rename the columns" ] }, { "cell_type": "code", "execution_count": 8, "id": "ff785442", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:03.789444Z", "iopub.status.busy": "2021-08-07T19:05:03.780992Z", "iopub.status.idle": "2021-08-07T19:05:03.812985Z", "shell.execute_reply": "2021-08-07T19:05:03.813469Z", "shell.execute_reply.started": "2021-08-07T19:00:34.080524Z" }, "papermill": { "duration": 0.07134, "end_time": "2021-08-07T19:05:03.813634", "exception": false, "start_time": "2021-08-07T19:05:03.742294", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#IMDb\n", "df['IMDb'] = df['IMDb'].str.replace(\"/10\", \"\")\n", "df['IMDb'] = pd.to_numeric(df[\"IMDb\"])\n", "\n", "#Rotten Tomatoes\n", "df['Rotten Tomatoes'] = df['Rotten Tomatoes'].str.replace(\"/100\", \"\")\n", "df['Rotten Tomatoes'] = pd.to_numeric(df[\"Rotten Tomatoes\"])" ] }, { "cell_type": "code", "execution_count": 9, "id": "68eefe3d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:03.868618Z", "iopub.status.busy": "2021-08-07T19:05:03.868024Z", "iopub.status.idle": "2021-08-07T19:05:03.886396Z", "shell.execute_reply": "2021-08-07T19:05:03.885805Z", "shell.execute_reply.started": "2021-08-07T19:00:34.129143Z" }, "papermill": { "duration": 0.046711, "end_time": "2021-08-07T19:05:03.886524", "exception": false, "start_time": "2021-08-07T19:05:03.839813", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Title</th>\n", " <th>Year</th>\n", " <th>Age</th>\n", " <th>IMDb</th>\n", " <th>Rotten Tomatoes</th>\n", " <th>Netflix</th>\n", " <th>Hulu</th>\n", " <th>Prime Video</th>\n", " <th>Disney+</th>\n", " <th>Directors</th>\n", " <th>Genres</th>\n", " <th>Country</th>\n", " <th>Language</th>\n", " <th>Runtime</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>The Irishman</td>\n", " <td>2019</td>\n", " <td>18+</td>\n", " <td>7.8</td>\n", " <td>98.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Martin Scorsese</td>\n", " <td>Biography,Crime,Drama</td>\n", " <td>United States</td>\n", " <td>English,Italian,Latin,Spanish,German</td>\n", " <td>209.0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Dangal</td>\n", " <td>2016</td>\n", " <td>7+</td>\n", " <td>8.4</td>\n", " <td>97.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Nitesh Tiwari</td>\n", " <td>Action,Biography,Drama,Sport</td>\n", " <td>India,United States,United Kingdom,Australia,K...</td>\n", " <td>Hindi,English</td>\n", " <td>161.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>David Attenborough: A Life on Our Planet</td>\n", " <td>2020</td>\n", " <td>7+</td>\n", " <td>9.0</td>\n", " <td>95.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Alastair Fothergill,Jonathan Hughes,Keith Scholey</td>\n", " <td>Documentary,Biography</td>\n", " <td>United Kingdom</td>\n", " <td>English</td>\n", " <td>83.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>Lagaan: Once Upon a Time in India</td>\n", " <td>2001</td>\n", " <td>7+</td>\n", " <td>8.1</td>\n", " <td>94.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>Ashutosh Gowariker</td>\n", " <td>Drama,Musical,Sport</td>\n", " <td>India,United Kingdom</td>\n", " <td>Hindi,English</td>\n", " <td>224.0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>Roma</td>\n", " <td>2018</td>\n", " <td>18+</td>\n", " <td>7.7</td>\n", " <td>94.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>NaN</td>\n", " <td>Action,Drama,History,Romance,War</td>\n", " <td>United Kingdom,United States</td>\n", " <td>English</td>\n", " <td>52.0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Title Year Age IMDb Rotten Tomatoes \\\n", "0 The Irishman 2019 18+ 7.8 98.0 \n", "1 Dangal 2016 7+ 8.4 97.0 \n", "2 David Attenborough: A Life on Our Planet 2020 7+ 9.0 95.0 \n", "3 Lagaan: Once Upon a Time in India 2001 7+ 8.1 94.0 \n", "4 Roma 2018 18+ 7.7 94.0 \n", "\n", " Netflix Hulu Prime Video Disney+ \\\n", "0 1 0 0 0 \n", "1 1 0 0 0 \n", "2 1 0 0 0 \n", "3 1 0 0 0 \n", "4 1 0 0 0 \n", "\n", " Directors \\\n", "0 Martin Scorsese \n", "1 Nitesh Tiwari \n", "2 Alastair Fothergill,Jonathan Hughes,Keith Scholey \n", "3 Ashutosh Gowariker \n", "4 NaN \n", "\n", " Genres \\\n", "0 Biography,Crime,Drama \n", "1 Action,Biography,Drama,Sport \n", "2 Documentary,Biography \n", "3 Drama,Musical,Sport \n", "4 Action,Drama,History,Romance,War \n", "\n", " Country \\\n", "0 United States \n", "1 India,United States,United Kingdom,Australia,K... \n", "2 United Kingdom \n", "3 India,United Kingdom \n", "4 United Kingdom,United States \n", "\n", " Language Runtime \n", "0 English,Italian,Latin,Spanish,German 209.0 \n", "1 Hindi,English 161.0 \n", "2 English 83.0 \n", "3 Hindi,English 224.0 \n", "4 English 52.0 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Let's have a look at the dataset again\n", "df.head()" ] }, { "cell_type": "markdown", "id": "4882c57e", "metadata": { "papermill": { "duration": 0.026883, "end_time": "2021-08-07T19:05:03.940168", "exception": false, "start_time": "2021-08-07T19:05:03.913285", "status": "completed" }, "tags": [] }, "source": [ "### Distribution of Ratings on IMDb and Rotten Tomatoes" ] }, { "cell_type": "code", "execution_count": 10, "id": "33d2a9ac", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:04.051237Z", "iopub.status.busy": "2021-08-07T19:05:04.044003Z", "iopub.status.idle": "2021-08-07T19:05:04.737001Z", "shell.execute_reply": "2021-08-07T19:05:04.737489Z", "shell.execute_reply.started": "2021-08-07T19:00:34.153530Z" }, "papermill": { "duration": 0.771164, "end_time": "2021-08-07T19:05:04.737657", "exception": false, "start_time": "2021-08-07T19:05:03.966493", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1152x576 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax = plt.subplots(nrows=1, ncols=2, figsize=(16, 8))\n", "\n", "a = sns.histplot(df['IMDb'], ax=ax[0])\n", "b = sns.histplot(df['Rotten Tomatoes'], color='red', ax=ax[1])\n", "a.text(x=1, y=650,s='median = ' + str(df['IMDb'].median()), fontname = 'monospace', fontsize = 16, color = '#32384D')\n", "b.text(x=10, y=550,s='median = ' + str(df['Rotten Tomatoes'].median()), fontname = 'monospace', fontsize = 16, color = '#32384D')\n", "\n", "for graph in [a, b]:\n", " graph.grid(color='black', linestyle = ':', axis='x', alpha=1, zorder=0,\n", " dashes= (1, 7))\n", "\n", "for graph in [a, b]:\n", " for w in ['right', 'top','left','bottom']:\n", " graph.spines[w].set_linewidth(1.2)\n", "\n", "\n", "plt.figtext(0.14,0.98, 'Distribution of Ratings on IMDb and Rotten Tomatoes', fontsize=28,\n", " fontname='monospace')\n", "fig.tight_layout(pad=4)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3ccc7f2e", "metadata": { "papermill": { "duration": 0.028188, "end_time": "2021-08-07T19:05:04.794786", "exception": false, "start_time": "2021-08-07T19:05:04.766598", "status": "completed" }, "tags": [] }, "source": [ "### Distribution of Age Groups" ] }, { "cell_type": "code", "execution_count": 11, "id": "c0b72375", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:04.864836Z", "iopub.status.busy": "2021-08-07T19:05:04.863922Z", "iopub.status.idle": "2021-08-07T19:05:04.866679Z", "shell.execute_reply": "2021-08-07T19:05:04.867132Z", "shell.execute_reply.started": "2021-08-07T19:00:34.930320Z" }, "papermill": { "duration": 0.043912, "end_time": "2021-08-07T19:05:04.867286", "exception": false, "start_time": "2021-08-07T19:05:04.823374", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Age Group</th>\n", " <th>Count</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>18+</td>\n", " <td>2276</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>7+</td>\n", " <td>1090</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>13+</td>\n", " <td>998</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>all</td>\n", " <td>698</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>16+</td>\n", " <td>276</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Age Group Count\n", "0 18+ 2276\n", "1 7+ 1090\n", "2 13+ 998\n", "3 all 698\n", "4 16+ 276" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "age_groups = pd.DataFrame(df['Age'].value_counts()).reset_index()\n", "age_groups = age_groups.rename(columns={'index':'Age Group', 'Age':'Count'})\n", "age_groups" ] }, { "cell_type": "code", "execution_count": 12, "id": "72ea31c5", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:04.927604Z", "iopub.status.busy": "2021-08-07T19:05:04.926989Z", "iopub.status.idle": "2021-08-07T19:05:05.110908Z", "shell.execute_reply": "2021-08-07T19:05:05.110371Z", "shell.execute_reply.started": "2021-08-07T19:00:34.945581Z" }, "papermill": { "duration": 0.215297, "end_time": "2021-08-07T19:05:05.111040", "exception": false, "start_time": "2021-08-07T19:05:04.895743", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x576 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (12, 8))\n", "\n", "a = sns.barplot(x='Age Group', y='Count', data = age_groups, palette='copper',linewidth=1.5)\n", "\n", "plt.figtext(x=0.14, y=0.95,\n", " s='Distribution of Movies based on Age Groups', \n", " fontsize=25, fontname='monospace')\n", "\n", "plt.xticks(fontsize=15, fontname='monospace')\n", "plt.yticks(fontsize=15, fontname='monospace')\n", "plt.xlabel('Age Group', fontsize=14)\n", "plt.ylabel('Count', fontsize=14)\n", "\n", "plt.grid(axis='y', color='black', linestyle = ':', alpha=0.5)\n", "\n", "for q in [a]:\n", " for w in ['bottom', 'left']:\n", " q.spines[w].set_linewidth(1.5)\n", " for w in ['right', 'top']:\n", " q.spines[w].set_visible(False)\n", " \n", "plt.show()" ] }, { "cell_type": "markdown", "id": "efca79fb", "metadata": { "papermill": { "duration": 0.029178, "end_time": "2021-08-07T19:05:05.169457", "exception": false, "start_time": "2021-08-07T19:05:05.140279", "status": "completed" }, "tags": [] }, "source": [ "### Finding all the unique genres present in the dataset" ] }, { "cell_type": "code", "execution_count": 13, "id": "918d455c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.236766Z", "iopub.status.busy": "2021-08-07T19:05:05.236131Z", "iopub.status.idle": "2021-08-07T19:05:05.238122Z", "shell.execute_reply": "2021-08-07T19:05:05.238630Z", "shell.execute_reply.started": "2021-08-07T19:00:35.136865Z" }, "papermill": { "duration": 0.039793, "end_time": "2021-08-07T19:05:05.238807", "exception": false, "start_time": "2021-08-07T19:05:05.199014", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def get_unique_genres(genre_list):\n", " '''\n", " The function takes the genre list returns a list of all the unique genres, number of movies\n", " that have more than one genre and number of movies having only one genre\n", " '''\n", " more_than_one = 0\n", " only_one = 0\n", " unique_genre = []\n", " for genres in genre_list:\n", " try:\n", " values = genres.split(\",\")\n", " if len(values) > 1:\n", " more_than_one += 1\n", " elif len(values) == 1:\n", " only_one += 1\n", " except:\n", " pass\n", " for genre in values:\n", " if genre not in unique_genre:\n", " unique_genre.append(genre)\n", " \n", " return unique_genre, more_than_one, only_one" ] }, { "cell_type": "code", "execution_count": 14, "id": "1ccfb7f8", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.302826Z", "iopub.status.busy": "2021-08-07T19:05:05.302235Z", "iopub.status.idle": "2021-08-07T19:05:05.312620Z", "shell.execute_reply": "2021-08-07T19:05:05.313702Z", "shell.execute_reply.started": "2021-08-07T19:00:35.144449Z" }, "papermill": { "duration": 0.045194, "end_time": "2021-08-07T19:05:05.313947", "exception": false, "start_time": "2021-08-07T19:05:05.268753", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total Number of Unique Genres are: 27\n", "Movies having more than one genre: 1394\n", "Movies having only one genre: 24\n" ] } ], "source": [ "unique_genres, more_than_one_genre, only_one_genre = get_unique_genres(df['Genres'].unique())\n", "\n", "print('Total Number of Unique Genres are: ', len(unique_genres))\n", "print('Movies having more than one genre: ', more_than_one_genre)\n", "print('Movies having only one genre: ', only_one_genre)" ] }, { "cell_type": "markdown", "id": "30d27007", "metadata": { "papermill": { "duration": 0.031218, "end_time": "2021-08-07T19:05:05.376108", "exception": false, "start_time": "2021-08-07T19:05:05.344890", "status": "completed" }, "tags": [] }, "source": [ "### Let's find the number of movies in each genre" ] }, { "cell_type": "code", "execution_count": 15, "id": "ba8ea868", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.440255Z", "iopub.status.busy": "2021-08-07T19:05:05.439631Z", "iopub.status.idle": "2021-08-07T19:05:05.442520Z", "shell.execute_reply": "2021-08-07T19:05:05.442032Z", "shell.execute_reply.started": "2021-08-07T19:00:35.162837Z" }, "papermill": { "duration": 0.036536, "end_time": "2021-08-07T19:05:05.442638", "exception": false, "start_time": "2021-08-07T19:05:05.406102", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "genre_dict = {}\n", "\n", "for val in unique_genres:\n", " genre_dict[val] = 0" ] }, { "cell_type": "code", "execution_count": 16, "id": "4710da5f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.507919Z", "iopub.status.busy": "2021-08-07T19:05:05.507345Z", "iopub.status.idle": "2021-08-07T19:05:05.512210Z", "shell.execute_reply": "2021-08-07T19:05:05.511759Z", "shell.execute_reply.started": "2021-08-07T19:00:35.173389Z" }, "papermill": { "duration": 0.03992, "end_time": "2021-08-07T19:05:05.512334", "exception": false, "start_time": "2021-08-07T19:05:05.472414", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Removing all the null values from genres\n", "new_df = df[df['Genres'].notna()]" ] }, { "cell_type": "code", "execution_count": 17, "id": "7fda69e1", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.591864Z", "iopub.status.busy": "2021-08-07T19:05:05.591183Z", "iopub.status.idle": "2021-08-07T19:05:05.731487Z", "shell.execute_reply": "2021-08-07T19:05:05.730880Z", "shell.execute_reply.started": "2021-08-07T19:00:35.188012Z" }, "papermill": { "duration": 0.187373, "end_time": "2021-08-07T19:05:05.731618", "exception": false, "start_time": "2021-08-07T19:05:05.544245", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "for genres in unique_genres:\n", " count = new_df[new_df['Genres'].str.contains(genres)].shape[0]\n", " genre_dict[genres] = count" ] }, { "cell_type": "code", "execution_count": 18, "id": "cdc8352d", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.801224Z", "iopub.status.busy": "2021-08-07T19:05:05.800549Z", "iopub.status.idle": "2021-08-07T19:05:05.803519Z", "shell.execute_reply": "2021-08-07T19:05:05.802967Z", "shell.execute_reply.started": "2021-08-07T19:00:35.348185Z" }, "papermill": { "duration": 0.04176, "end_time": "2021-08-07T19:05:05.803645", "exception": false, "start_time": "2021-08-07T19:05:05.761885", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "genre_count = pd.DataFrame(columns=['Genre', 'Count'], \n", " data = {'Genre':[val for val in genre_dict.keys()],\n", " 'Count': [val for val in genre_dict.values()]}).sort_values(by='Count', ascending=False).reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 19, "id": "7b4fd265", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:05:05.909214Z", "iopub.status.busy": "2021-08-07T19:05:05.908461Z", "iopub.status.idle": "2021-08-07T19:05:06.152696Z", "shell.execute_reply": "2021-08-07T19:05:06.152074Z", "shell.execute_reply.started": "2021-08-07T19:00:35.358515Z" }, "papermill": { "duration": 0.317993, "end_time": "2021-08-07T19:05:06.152830", "exception": false, "start_time": "2021-08-07T19:05:05.834837", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyUAAAKKCAYAAAAjqfQQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAACdM0lEQVR4nOzdeVhU9d/G8XuAYd9FEZdEMcEFBXPJ3UzNXTO1Usd+uaSWmpkWamlmqamtmlbuuZUL4lZmiRYuuWQqLriGiCu7KLLOPH/4OEkHlY8sh8Pcr+viemDmzJnPvOvpx5fvLDqTyWQCERERERGRSqzUHoCIiIiIiCwbFyVERERERKQqLkqIiIiIiEhVXJQQEREREZGquCghIiIiIiJVcVFCRERERESq4qKEiIiIiIhUZaP2AEREJBMaGorx48eLbzdixAiMHDmyCCYqPidOnMCRI0dw7NgxHD16FNHR0TCZTHj++ecxY8aMR94+JiYG3377Lfbs2YOEhAS4ubmhUaNGGDx4MGrVqlVkc5tMJmzZsgVbt27FiRMnkJSUBAcHB9SoUQPt27dHr1694OTkVGT3T0RU0nFRQkSkMfb29vDy8lJcnpqaioyMDFhZWcHT01NxvaOjY3GMV6ReeeUVpKamPtZtDx06hCFDhiAtLQ0A4OzsjLi4OGzduhXbt2/HzJkz0alTp8IcFwCQmJiI119/HX///bf5MldXV9y5cweHDh3CoUOHsH79emzatKnQ75uISCu4KCEi0phOnTrl+ctzSEgINmzYAB8fH4SHh6swWdHT6/WoU6cOgoKCUK9ePSxduhQnTpx45O1SU1MxcuRIpKWloVatWvj888/h6+uL69evY/z48dizZw9CQkIQGBiIypUrF9q8GRkZeOWVV3DmzBk4OjpizJgx6N69O1xdXWEymXDixAn8+OOP+PPPPwvtPomItIiLEiIi0ozff/8dtra25p/Xrl2br9utWLECiYmJsLOzw9y5c1GxYkUAgLe3N7744gu0b98eSUlJ+O677zB16tRCm3fevHk4c+YMrKys8M0336Bx48bm63Q6HerUqYM6derg3LlzhXafRERaxBe6ExFZsN9//x3Dhg1D06ZNUadOHTRt2hTDhg3D7t27H3ibkJAQ+Pv7IyQkBPHx8Zg4cSKaN2+OwMBAdOjQAXPnzkV6enqRzHv/gkTip59+AgA888wz5gXJPa6urujevTsAYPv27cjJySnYkP/vzp07WLlyJYC7u1v3L0j+q3r16g+87tq1a5g2bRo6deqEoKAgBAcHo3v37vj6669x69atPG9z/z+jzMxMzJs3Dx07dkTdunXx9NNP491338WNGzceOv/95wCAnTt34n//+x8aN26MevXqoV27dpg0aRIyMzMLZeZ7/vjjDwwbNgzNmzdHnTp18PTTT6NHjx748MMPsX///ofeloi0izslREQW6pNPPsHixYsBAFZWVnBxcUFSUhJ27tyJnTt3YsiQIRg7duwDb5+SkoI+ffrg8uXLcHR0hJWVFf755x/MmTMHu3btwtKlS+Hs7FxcD+eBbt68iTNnzgAAGjVqlOcxTz/9NJYuXYrk5GScPXsWAQEBBb7f3bt3m1//0rVr18c6x44dO/D222/jzp07AO6+nig7OxtRUVGIiorCli1bsHTpUnh7e+d5+5ycHAwaNAgHDhyAk5MTcnJykJSUhLCwMBw7dgxhYWGws7N75BzffvstPvvsMwCAk5MTrKysEBMTg5iYGIwdOzbXYrEgM3/zzTf4/PPPzT87OzsjIyMDp06dwqlTp/DXX39h48aN+Q9IRJrBnRIiIgv0888/mxckffv2xb59+3DgwAHs27cPL7/8MgBgwYIF+PXXXx94jvDwcKSlpWHhwoU4fPgw/v77b3zxxRdwcHBAZGSk+ZdYtf3zzz/m76tWrZrnMb6+vubvL1y4UCj3e+zYMfP39erVE98+MjISb775Ju7cuYOePXti+/bt5nceW79+PYKDg3HhwgW88847DzzH9u3bcfnyZaxcudL8z2jSpEnQ6XS4cOECNmzY8Mg5zpw5gy+//BIvvvgiwsPDzefZunUrunfvDp1OVygzX7t2DV999RUAwGAwYN++ffjrr7/w999/448//sCUKVPw5JNPijsSkTZwUUJEZIG+++47AEDz5s0xefJkuLu7AwDc3d3xwQcfoFmzZgCA+fPnP/Q8H374IVq0aAGdTgcrKyt07NgRb7/9NgBgzZo1SE5OLrLHkF9xcXHm7++9a9n777+P4OBgfPDBBwCAsmXLmo+Jj48vlPu9dOkSgLs7Cx4eHuLbT5s2DVlZWejVqxemT5+OKlWqmDvXqVMH8+bNg6urK/78808cPXo0z3Okp6fj448/RoMGDQDcffpbv3790Lx5cwB46NP07jlx4gT69u2LDz/8MNdT36pXr46ZM2fCxcWlUGY+cuQIcnJy4OTkhAkTJuR6Bzlvb2+89NJLmD17dv4DEpGmcFFCRGRhrl+/jpMnTwKAeVfkv+5dfuLEiVy/1N/P09MTbdu2VVzeo0cP2NjYICsrC3v27CmkqR/fvacRAXefSpSUlIQ1a9YgLS0Nq1evRnJyMuzt7c3H3HvL4IK699StvD5/ZNGiRWjWrFmur0WLFpmvj46OxuHDhwEAgwcPzvP8np6eqFu3LgA88N27fH190aRJE8XlTz31FIC7n9vyKHq9HiNGjHjkcQWd2cHBAQCQmZmJ27dvP/L+iKh04WtKiIgszL3XVwBAYGBgnsfcf/mZM2dy7STcU6tWLVhZKf+25eLigkqVKiE6OhpnzpxB586dC2HqwuPh4YHu3btj+/bt6NatG9zd3ZGdnV2sM6SlpSl2ZO5fDN3/mSb9+/d/4HnuLXyuXr2a5/VVqlTJ8/J7O0b5+eW/Tp065p20hynozHXr1oWLiwtSU1MxYMAA9O/fH40aNSrUt2gmopKLixIiIguTkpJi/j6vD1n87+UPegrWw35R9fDwQHR0dIl4+ta9v8ADML8r2MyZMzFz5kzF5UDhfcjkvRf5379Tc8/IkSMxcuRIAECbNm1w+fLlXNffvzuVn6eTPejdzh70z9fa2hrA3U+afxQfH59HHgMUfGYPDw/MmDEDISEhOHnyJCZMmADg7r9nTz31FLp06VIkH25JRCUDFyVERFRk8vNLb1H77+tFatSooTgmr9edFNS9v/Cnpqbi5s2bcHV1FZ+jbNmy+XrdR1HKz7tz3a8gM7dt2xY7d+7EL7/8gkOHDuHIkSP4559/sGPHDuzYsQMRERGYPn36Y52biEo2vqaEiMjCuLm5mb9PTEzM85j7L3/QjkhSUtID7+Pedfl52k9Ru/8dt+5/J677RUdHm7+vVq1aodzv/U+BO378uOi29xZGycnJyMjIKJR5ilphzezi4oJevXphxowZ2LZtG3bs2GF+S+XQ0FAcOnSoUOYlopKFixIiIgtz/05BZGRknsfcf3leOwsAcPLkSRiNRsXlN2/eNL/z1MM+FLC4uLq6mh/DwYMH8zzm3ofyubu7F9rbzjZv3tz8VLCff/5ZdNugoCAAQFZWFvbt21co8xS1opq5UqVKmDVrlvn1MdIFHhFpAxclREQWxtvbG7Vq1QIArFq1Ks9jVq9eDQCoXbt2ni9yB+7uhvz222+Kyzdu3IicnBzo9XrzW8+q7d5rEcLDwxUvsE5NTcWmTZsAAO3atTO/3qKgnJyc8OKLLwIANmzYgBMnTuT7ttWqVTN/tskXX3zx0J2Ha9eu5fm6leJW0Jnz+mT4e0wmk/k1KIX1z4eIShYuSoiILNBrr70GANizZw+mTJlifkF6cnIypkyZYn4r3+HDhz/0PJMmTTK/fsBoNGLbtm3mD03s2bPnA19o/bhu376NxMRE81dWVhaAu7/Q3n/5f3/B7d+/Pzw9PZGRkYE33ngDFy9eBHD37ZFHjx6NhIQE2NnZYejQoYU676hRo+Dr64usrCwMHDgQ69evN/8yfufOHaxduxYJCQl53nbixInQ6/U4deoUDAYDDh48aN6ZysjIwJ9//okJEyagXbt2ud68QE0FmXn16tX43//+h7CwMFy/ft18+fXr1zFx4kRcv34dVlZW5s/QIaLShS90JyKyQB07dsTRo0exZMkSrFq1Cj/88IP57Vjv/RI5ePBgtGvX7oHneOaZZ3D69GkMGjQIjo6OMBqN5r9m16pVC+PGjSv0uadOnZrnp5Bv3boVW7duNf88ffp09OzZ0/yzi4sLvvrqK7z22ms4ceIE2rdvDxcXF9y6dQsmkwl6vR4zZswo9LefdXR0xPfff49hw4aZ31Hqvffeg7OzM1JTU81vBFC+fHm0atUq123r1auHL774AuPGjcPRo0fRv39/2NrawtHRETdv3sz11Ln7P1VdTQWZ2WQyYd++feanfjk6OkKn0+V62+K33nqr0F7zQ0QlCxclREQWKiQkBE2aNMGqVatw7Ngx3Lx5E+7u7qhbty769euHli1bPvT27u7uWLNmDT777DP88ccfuHnzJnx9fdGpUycMGTKk0N5at7A0bNgQGzduxPz587F3714kJCTAy8sLDRo0wJAhQ1C7du0iuV9vb2+sW7cOGzduxNatWxEVFYWUlBS4ubmhRo0aaNeuHXr16pVnr7Zt2+KXX37BihUrEBERgZiYGKSmpsLNzQ1+fn5o1KgROnToAG9v7yKZ/XE87sxdu3aFo6Mj9u7di9OnT+PGjRvIyMiAj48PgoKC0L9/f/Mn0xNR6aMzlYT3ayQiIs0ICQnBhg0b8Pzzz2PGjBlqj0NERKUAX1NCRERERESq4qKEiIiIiIhUxUUJERERERGpiosSIiIiIiJSFV/oTkREREREquJOCRERERERqYqLEiIiIiIiUhUXJUREREREpCouSoiIiIiISFVclBARERERkaq4KCEiIiIiIlVxUUJERERERKriooSIiIiIiFTFRQkREREREamKixIiIiIiIlIVFyVERERERKQqLkqIiIiIiEhVXJQQEREREZGquCghIiIiIiJVcVFCRERERESq4qKEiIiIiIhUxUUJERERERGpiosSIiIiIiJSFRclRERERESkKi5KiIiIiIhIVVyUEBERERGRqrgoISIiIiIiVXFRQkREREREquKihIiIiIiIVMVFCRERERERqYqLEiIiIiIiUhUXJRbs448/xscff6z2GERERERk4WzUHoDUExUVBZPJpPYYmmI0GmFlxbV8frGXDHvJsJcMe8mwlwx7ybCXEmtYuISEBLVH0JRNmzapPYKmsJcMe8mwlwx7ybCXDHvJsJeSzsQ/lVssg8EAAFi+fLnKkxARERGRJeNOiYWLi4tTewRNCQ0NVXsETWEvGfaSYS8Z9pJhLxn2kmEvJe6UWDDulBARERFRScCdEgsXHx+v9giaEhYWpvYImsJeMuwlw14y7CXDXjLsJcNeStwpsWAGgwFGoxErV65UexQiIiIiKmIZ6Rmws7dTe4w88S2BLZyVlRX8ytdVewwiIiIiKmLnrx1Te4QH4tO3iIiIiIhIVVyUEBERERGRqrgoISIiIiIiVXFRQkREREREquKihIiIiIiIVMVFCRERERERqYqLEiIiIiIiUhUXJUREREREpCouSoiIiIiISFVclBARERERkaq4KCEiIiIiKqD3p76L89eOoUOXdgCARk2ewpLV83HgxC4cPbcPP25cikZNnsp1G2cXZ3z29XQcPbcPB0/8jvEfvA0rq9y/nr88oDf+OLQNJ/45gJXrF6KKb+Vie0zFiYsSIiIiIqICaNbyaQTUrpHrsqD6dfH3X8cwpP9IdGvbB0f/Po7FK+fBt1oV8zEfzXwfderWgqH3ELw9YgJ6vdgDw0YOMl/f8plm+GDaeMz7YgGe79gPd+6k47vv5ygWLqVB6XtERERERETFxM3dFR/OmIiJb0/Jdfl3Xy/BV7Pn4+jfkbgYfQnTPpiNrKwstG7THADg7uGGTt3a45Opn+PY38fxx849WPTN9+g7oLf5HH0H9MaOX3bhhxXrcSbqLCaO/RDVa1TD080aFutjLA5clBARERERPaapM9/H6uXrEP1PzEOPs3ewh16vR0rKTQBA7cCasLa2xsH9f5mPOfDnX/CpWB5eZcsAAAKDauPg/sPm669fu4GL0ZcQWK92ETwSdXFRQkRERET0GHr06oKKlSpg8bfLH3nsiLdeQ0JCIn7e8isAwLOMJ7Kzs3EzJRUbtq3CV9/ORFJikvm6e/83KTEZrwzqiwPHd8GngjeSEpPh6eVRdA9KJTZqD6AlISEh2LBhAwDAxsYGrq6uqF69Ojp06IA+ffpAr9erPCERERERFQefCt6Y8MFY9HthEIxG40OP7dK9A/q/+hL69RyE9Dvp5stNJhMA4Orla7h+Le6Bt09OTsHl2CvIzMwqnOFLIC5KhJo2bYqZM2fCaDQiMTERf/75J7766its3LgRS5cuhaOjo+I2mZmZsLW1VWFaIiIiIioKderWgoenOzb+8kOuyz+fNwPdnu+I1weNAQA82741Ppo9CcP/NxonIk+Zj0tMSIRer4erm4v52AaN65uvu/d/PTzdseS7Fdi4fisAwMPTHYnxSUX++Iobn74lZGtri7Jly8Lb2xs1a9bEq6++iuXLl+PkyZNYuHAhAKBNmzaYM2cOxo8fjwYNGmDs2LEAgNmzZ+O5555D3bp10aZNG8ycORMZGRnmc8+ZMwddunTBhg0b0KZNGwQFBWH8+PHIzMzEypUr0apVKzRu3BjTp0/PtSLfuHEjXnjhBQQHB6NJkyYYNWoUrl+/XrxhiIiIiCzInj/+xHMte6BL297mLwCYMeVTfPjeJwCAFq2b4tOvp+HNoe9g354DuW5/8ngUcnJy0LDxv28T3Ojpp3D1ynXExyUAACKPnkTD/1+oAIB3+XKo4lsZkUdPFPXDK3bcKSkENWrUQPPmzbF9+3aMGjUKALBkyRIMHz4c69evN2/NOTg4YNq0afD29sb58+cxefJk2NraYvTo0eZzXb58GTt27MA333yD69evY9SoUbhx4wbKlSuHxYsX48KFCxg9ejTq16+P5557DgCQlZWFUaNGoVq1akhKSsKsWbMwZswYrFy5sthbEBEREVmCtLQ7uHAuWnH59etxuHb1Op5u1hDzFn+OjyfNxInIU+YXr6enZ+BW6i0kJSbj583b8e77byEuLh5ubq4YNGwAFn3zvflcq5atwYLlc/Bivxfw91/H8M57b+LcmQv4c8/B4nqYxYaLkkJSvXp17Nu3z/xzo0aNMGTIkFzHvPHGG+bvK1WqhKFDh2Lx4sW5FiU5OTmYPn06XFxcUKNGDbRo0QIHDhzA/PnzYWtrCz8/P9SvXx/79+83L0p69eplvn3lypXxwQcfoFOnTrh27RrKly9fRI+YiIiIiB6kZ59ucHR0wMezJ+Pj2ZPNl6//cSPeefN9AMDEcVMx9ZP3sGLdQmRmZGLdj2H4Zs4i87F/7NyDKRNnYMRbr6GMlyf+PnwMQ18Z9cjXsGgRFyWFxGQyQafTmX+uU6eO4pht27Zh2bJliImJQVpaGnJychT/Uvn4+MDFxcX8c5kyZeDr65vrNSllypRBQkKC+ecTJ05g7ty5iIqKQnJysvnyK1eucFFCREREVEz8ytc1f//Om++bFx8Pciv1Ft56PeShx6xatgarlq0plPlKMi5KCsn58+dRuXJl888ODg65rj9y5AjGjBmDN954Ay1atICrqyvCw8PxySef5Druv+/gpdPp8rzs3mImLS0NgwYNMr8A39PTE0lJSejXrx+yskrvOzQQERERUenBRUkhOHPmDCIiIjB8+PAHHnP48GF4e3vnegrXlStXCnzfFy5cQFJSEt566y3zomj79u0FPi8RERERUXHhokQoMzMTcXFxMBqNSEpKwr59+/DNN9+gdu3aGDhw4ANv5+vri+vXr2PTpk0IDg5GREQEtmzZUuB5KlSoAFtbW6xcuRL9+vXD+fPn8eWXXxb4vERERERExYWLEqG9e/eiefPmsLa2Nr8YfeTIkejTp89DP4ukTZs2GDRoEKZNm4aMjAw0a9YMo0aNwpQpUwo0j6enJz755BN89tlnWLlyJfz9/RESEoLBgwcX6LxERERERMVFZ7r3frVkcQwGAwBg769HVZ6EiIiIiIra+WvH1B7hgfjhiUREREREpCouSoiIiIiISFVclBARERERkaq4KCEiIiIiIlVxUUJERERERKriooSIiIiIiFTFRQkREREREamKixIiIiIiIlIVFyVERERERKQqLkqIiIiIiEhVXJQQEREREZGquCghIiIiIiJVcVFCRERERESq4qKEiIiIiIhUxUUJERERERGpykbtAUhdOTk5OH/tmNpjEBEREVERy0jPgJ29ndpj5Ik7JRbu9u3bao+gKfv371d7BE1hLxn2kmEvGfaSYS8Z9pJRq1dJXZAAXJRYPEdHR7VH0JSAgAC1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTCpaamqj2Cphw8eFDtETSFvWTYS4a9ZNhLhr1k2EuGvZR0JpPJpPYQpA6DwQCTyYQVK1aoPYpmGI1GWFlxLZ9f7CXDXjLsJcNeMuwlw14y7KXEGhYuISFB7RE0ZdOmTWqPoCnsJcNeMuwlw14y7CXDXjLspcSdEgtmMBgAAMuXL1d5EiIiIiKyZNwpsXBxcXFqj6ApoaGhao+gKewlw14y7CXDXjLsJcNeMuylxJ0SC8adEiIiIiIqCbhTYuHi4+PVHkFTwsLC1B5BU9hLhr1k2EuGvWTYS4a9ZNhLiTslFozvviXHd8uQYS8Z9pJhLxn2kmEvGfaSYS8l1rBwOTk5ao+gKfwPiAx7ybCXDHvJsJeMpffKzMgUHR8eHl5Ek5RO7KVko/YApC4bGxs8U62N2mMQERFRCbLzguyX5oYNGxbRJKUTeylZ9p8BiIiIiKjAoqKi1B5BU9hLiYsSIiIiIiqQSpUqqT2CprCXEhclRERERFQgSUlJao+gKeylxEUJERERERWIXq9XewRNYS8lLkqIiIiIqEDs7e3VHkFT2EuJixIiIiIiKhB+GLMMeylxUUJEREREBeLr66v2CJrCXkpclBARERFRgURGRqo9gqawlxIXJURERERUIE2bNlV7BE1hLyUuSoiIiIioQLZv3672CJrCXko2ag9AREREZAleefMVtOnyDMpVKIe022k4vOcw5k/7BolxibmO86/rj7lr5+BgxEFMGDwRAODs6owh7wxGwxYN4VnWE/HXE/Dz2p+xav4qmEwmAEC3ft3QrV9XVKhcAZmZmTj+1wl8O/1bXPrnUpE/ti5duhT5fZQm7KXEnRIiIiKiYnA15gq+mPQlXn1uIN79XwjKlCuDD76enOsYO3s7jJsxFmeOn8l1uYeXB1zd3fDl5K/w6nMDMf/jeXjptRfR/41+5mMS4xLx3ScLMLjLELz54mhkZWRi5rJPYGVV9L/uhYaGFvl9lCbspaQz3Vtek8UxGAwAgNg9l1WehIiIyPI0adMEH303FR1qdURWZhYAYPTU0Yi7GodKvhXh5ulm3inJy4j330DdRnXxWteheV5f1b8qFv+8CIZnByD2n1jRbDsvhIuOJyoo7pQQERERFTMXNxe079ke0WejzQuSxq0bo2a9mlj97ep8ncPZ1RmpKbfyvM7ewR5dXuyMxLhExF2NK7S5H4R/+ZdhLyUuSjQqMjIS/v7+iI2V/eWDiIiI1PN0m6fxU+RWbPp7I8r5lMVYwzgAgJunG8Z89BZmhcyCMcf4yPNU9a+KZ7o8g7WL1igu/ylyK7ZGbkGDlg0x+qW3kJGeUSSP5X49e/Ys8vsoTdhLiYuS+8THx+Ojjz5C27ZtUadOHbRo0QKDBw/G77//rvZoREREVAoc2XcEQ7q+hrf7vw1jjhFvThkFABjz8Rj8Erod506ee+Q5PLw8MPWbqVi7aC3+3Lk/13WXLlz6/9eUvIlLFy7hnU/GwUZf9O9rtG3btiK/j9KEvZT47lv/LzY2Fi+//DKcnJwwZswYBAQEwGQyYd++fZg8eTJ27dql9ohERESkcel30nE5+jIuR1/GpX9isWbPjwioG4D6TYLxdOvGeHFIHwCAtY01AOCXU9vQu0kf3Ey+CQBw9XDFp8tn4/Cev7Bw9iLF+bOzsnHl4hVcuXgFU0ZMwcbDYWjerhl2/VS0f2Bt0aJFkZ6/tGEvJe6U/L8pU6YAANavX49OnTqhWrVq8PPzQ//+/bFp0yYAwJUrV/DGG28gODgYwcHBGDFiBK5du2Y+x5w5c9ClSxds2LABbdq0QVBQEMaPH4/MzEysXLkSrVq1QuPGjTF9+nQYjf9uzWZmZmLWrFlo2bIl6tWrhxdeeAERERG55vvjjz/QoUMHBAYGom/fvoiOjjZfl5aWhvr16ytW3Xv27EHt2rURHx9f2LmIiIiogO49Tcve0R7DegzH4M5DzF97f9uHYweOYXDnIbh18+7rRpxdnTFr2SycOX4Gn733+aPPb7x3foeiexD/78iRI0V+H6UJeylxpwRAcnIyIiIiMHr0aDg5OSmud3V1hdFoxOuvvw57e3t8//33AICpU6fi9ddfx/r166HT6QAAly9fxo4dO/DNN9/g+vXrGDVqFG7cuIFy5cph8eLFuHDhAkaPHo369evjueeeAwCMHz8ely5dwqeffory5cvj999/x/Dhw7Fu3ToEBATg6tWreOONN9CnTx/07dsXp0+fxowZM8zzOTo6okuXLli/fj06dOhgvnz9+vVo3bo1vLy8ijIfERERPYK9oz2GjB2MP36JwLXYa/D08sCrYwbixpUbiDoWhfS09FzH3069BRu9NS5duPsZI47Ojpi5bCZSEpOxYNZCeHh5mI9Nik8CcPfduPbv2o/Y6MtwdHbEy0NfQk5ODg7vPVzkj6969epFfh+lCXspcVECICYmBiaTCX5+fg88Zt++fTh9+jR+/fVXVKpUCQDw6aefol27dti3bx+aNm0KAMjJycH06dPh4uKCGjVqoEWLFjhw4ADmz58PW1tb+Pn5oX79+ti/fz+ee+45xMTEYOvWrQgPD0eFChUAAP3798fevXvxww8/4IMPPsDq1atRoUIFvPfee9DpdPDz80N0dDS+/PJL83y9e/fGiy++iOvXr8Pb2xspKSn47bffch1DRERE6sjJzoFXeS9M/GwC3DzdcCv1Fk78dRLjXnlHsSDJy5O1n0TNegEAgHV/rs113TPV2gC4u/B566O3UKZcGdxJu4OzJ87inVfexY0rNwr/Af3H1atX4e3tXeT3U1qwlxIXJQDy81Et58+fR7ly5cwLEgCoXLkyypUrh3PnzpkXJT4+PnBxcTEfU6ZMGfj6+sLW1jbXZQkJCQCAEydOwGQyoXPnzrnuLzMzE08//bT5vuvVq2fejQGA4ODgXMcHBgaiRo0a2LBhA4YNG4YtW7bAzc0NLVu2zG8GIiIiKiJZmVmY/PoH+T7+k3dm5vr56P6j5sXHg8we/+njjFYo7v/dhx6NvZS4KAFQpUoV6HQ6nD9/Hu3atRPf/v7Fgl6vV1yX12X3nudpMpmg0+mwbt062Njk/sdhb28vmqN37974/vvvMWzYMKxfvx7PP/88rK2tRecgIiIiIipufKE7AHd3dzRv3hwrVqzA7du3FdffvHkTfn5+uHHjRq7PBbl06RJu3LhRoOcF1qxZEyaTCXFxcahSpUqur3vben5+fjh69GiuHZ28XiDVtWtXXLt2DStWrMCJEyf4HthERERULFJTU9UeQVPYS4mLkv83efJkAMALL7yAn3/+GRcuXMD58+exatUqdOvWDU2bNoW/vz/Gjh2LyMhIREZGYuzYsahVq5b5aVaPo2rVqujatSvGjx+Pbdu24dKlS4iMjMSiRYuwfft2AMBLL72Ey5cv4+OPP8aFCxewbds2/PDDD4pzubq6okOHDpgxYwYaNmwIX1/fx56LiIiIKL98fHzUHkFT2EuJi5L/V7lyZYSGhqJZs2aYPXs2unXrhldeeQXh4eH48MMPodPpMG/ePHh6emLAgAEYMGAAvLy8MG/evFxP33oc06dPR8+ePTFr1ix07NgRw4YNw8GDB80vfK9QoQLmzp2LiIgIdO/eHUuXLsXbb7+d57l69eqFrKws9OrVq0AzEREREeXXuXOP/tBH+hd7KelM+XmVN2nGTz/9hEmTJiEiIgIODg9/X3KDwQAAiN1zuThGIyIiIo3YeSFcdPzt27fz/FgFyht7KXGnpJS4c+cOLl26hG+++Qa9e/d+5IKEiIiIqLD890Of6eHYS4mLklJi4cKF6NChA9zc3PDGG2+oPQ4RERFZkPs/vJkejb2UuCgpJUaOHIkTJ05g+fLlcHZ2VnscIiIisiChoaFqj6Ap7KXERQkRERERFQg/hkCGvZS4KCEiIiKiAuFf/mXYS4mLEiIiIiIqEP7lX4a9lLgoISIiIqIC2bJli9ojaAp7KXFRQkREREQF0r59e7VH0BT2UuKihIiIiIgKZO/evWqPoCnspcRFCREREREVSGBgoNojaAp7KXFRQkREREQFEh0drfYImsJeSlyUEBEREVGBeHl5qT2CprCXEhclRERERFQg6enpao+gKeylxEUJERERERVIVlaW2iNoCnspcVFCRERERAXi4eGh9giawl5KNmoPQOrKyc7Bzgvhao9BREREJUhmRiZs7WzzfXxsbCwqVqxYhBOVLuylxJ0SC2eCSe0RNCUlJUXtETSFvWTYS4a9ZNhLxtJ7SRYkABAQEFBEk5RO7KXERYmFS01NVXsETTl48KDaI2gKe8mwlwx7ybCXDHvJsJcMeynpTCYT/1RuoQwGA0wmE1asWKH2KJphNBphZcW1fH6xlwx7ybCXDHvJsJcMe8mwlxJrWLiEhAS1R9CUTZs2qT2CprCXDHvJsJcMe8mwlwx7ybCXEndKLJjBYAAALF++XOVJiIiIiMiScafEwsXFxak9gqaEhoaqPYKmsJcMe8mwlwx7ybCXDHvJsJcSd0osGHdKiIiIiKgk4E6JhYuPj1d7BE0JCwtTewRNYS8Z9pJhLxn2kmEvGfaSYS8l7pRYML77lhzfLUOGvWTYS4a9ZNhLhr1k2EuGvZRYw8IlJyerPYKmhIeHqz2CprCXDHvJsJcMe8mwlwx7ybCXEndKLJjBYIAxx4iVq1aqPQoRWZCsjEzohZ8WnZeUlBS4ubkVwkSWgb1k2EuGvWTYS8lG7QFIXVbWVni1Zk+1xyAiC7LkVOG860xUVBQaN25cKOeyBOwlw14y7CXDXkp8+hYREWlSpUqV1B5BU9hLhr1k2EuGvZS4KCEiIk1KSkpSewRNYS8Z9pJhLxn2UuKihIiINEmv16s9gqawlwx7ybCXDHspcVFCRESaZG9vr/YImsJeMuwlw14y7KXERQkREWkSP/xVhr1k2EuGvWTYS4mLEiIi0iRfX1+1R9AU9pJhLxn2kmEvJS5KiIhIkyIjI9UeQVPYS4a9ZNhLhr2U+OGJFsxgMAAAbA7dVnkSIrIkhfU5JZmZmbC1LfiHMFoK9pJhLxn2kmEvJe6UEBGRJm3fvl3tETSFvWTYS4a9ZNhLiTslFow7JUSkhsLaKSEiotKDOyVERBpXwa8SXv9iHGbv+BZLToWiWY9ncl3f4oVn8fGWr/Dt36sx89f56PzaC7lvX70y3l7wPr7evxxf7V2KN74cB8/yZczXt+zdFpPWzMS8gyvw1Z4leP3zsShToWyxPLaHCQ3l4kaCvWTYS4a9ZNhLiYsSIiKNs3dyQMLlG/hx1jJk3MnIdZ1/w1r435Rh+GXZJkzoPAo/zlyGbsN75Vq4vPn1eGSkZ2LqSyGYNfADuJf1wJBP3jRfX6N+Tfyx7jd83HcCZg2cAic3Z7y94H1YWav7PyE9e/ZU9f61hr1k2EuGvWTYS4mLEiIijbtw7Cx+nLUMB7fthclozHVd1TpPIuFqPP5Y+xsSrsThr1//xIVjZ+Fb2w8A4OzugnJPlMev32/GtX8u41JUNHat+RVV/v96AFg4fg52rdmOy2djcOl0NH6ctQw+1SqhYvUnivVx/hf/0ijDXjLsJcNeMuylxEUJEVEpdubwKbiX84R/w1oAgEpPPoFKNaogMuIwAOBWcipiz8agQfumsNbbwM7RHvWfbYRjv//1wHM6ujgBANJS1X09Gv/SKMNeMuwlw14y7KXERQkRUSl24egZfPP2Z3hz3gQsOLYGk9fPxvovVuLYH4fNx3w6aAqqBlbHd3+vxryDK2Brb4tFE+bmeT6dlRWeH/kSDm7bi4QrccX1MPK0bds2Ve9fa9hLhr1k2EuGvZS4KCkEsbGx8Pf3f6wPwgkNDUVwcHC+fyYikihftSL6TRiEdZ+vwJQXxmLxe1/jhdH9EPRMQ/Mx/d8fguQbifjopfGYYXgPdo4OGDx9ZJ7n6//eYDi5u2DJpHnF9RAeqEWLFmqPoCnsJcNeMuwlw15KXJQ8gr+//0O/QkJCCnT+Tp064bfffiukaYmIcus85HmcP3YW4au2IfZsDPZt+h27N+xEp8HPAwD8G9ZG8LONsHD8HPxz/BzOHo7C9x98g0Ydm8G7ik+uc/V+24A6zYMwe9AU3ElNU+Ph5HLkyBG1R9AU9pJhLxn2kmEvJRu1Byjpdu/ebf5+165deO+993JdZm9vj5SUlMc6d1ZWFuzt7WFvb1/gOR+GnxpKZLkcXZyQnZWd6zJjTg5s7e/+N8HR9e7rQ+7/yKqcnBwAgN7u3/9udH/jRTTu1BzTDe8h+UZiUY+dL9WrV1d7BE1hLxn2kmEvGfZS4k7JI5QtW9b85eLi8sDLAODKlSt49dVXUa9ePXTq1Al79uwxX7d//374+/vj999/R69evVCnTh3s3r37sZ6eFR4ejp49eyIwMBBt2rTB559/jszMTPP1bdq0wZw5czB+/Hg0aNAAY8eOLWAFIirJrPU2qBzgi8oBvtBZWaFMBS9UDvCFq5c7Inf/jfrPNkKz7q3hVbEcgp5piJa92uLIzoMAgPNHTiP91h288sEw+FSriMr+vug7fiCuX7yCqxdiAQCdBj+PdobO+Hbc58jKzIKrlztcvdxzLVrUcPXqVVXvX2vYS4a9ZNhLhr2UuFNSiD7//HO88847mDx5MubPn48xY8YgPDwcTk5O5mNmz56Nd999F1WqVIGTkxN27doluo+IiAiMHTsWEydORMOGDXHlyhVMnjwZmZmZePfdd83HLVmyBMOHD8f69etz/QWUiEof97Ie+HDDZ+afnx/5Mp4f+TLC5v6IjV//CHsnB3QZ1gsDypdBSnwydqz6GZvmrwUA3ExIwWdDp6LXW/3x3g8zYMwx4uxfp/D50I+Rk313x+SZl56Dk5szJqyclut+F46fgz1hO4vvgf7H/X8UokdjLxn2kmEvGfZS4qKkEP3vf/9DmzZtAABjxoxBWFgYTp06hQYNGpiPGTFiBJo3b/7Y9/HNN99g0KBBeOGFu5/I/MQTT2DcuHEYN24c3nnnHeh0OgBAo0aNMGTIkAI8GiLSioQrcXi15oPfXnLb4o3YtnjjA68/f+QMPnll0gOvH9d2WIHmIyIiehQuSgqRv7+/+fty5coBABITcz/3uk6dOgW6jxMnTuDYsWNYuHCh+TKj0Yj09HTExcWZ77eg90NEVNKlpqaqPYKmsJcMe8mwlwx7KXFRUohsbP7NeW/HwvifT1d2cHAo0H0YjUaMGDECHTp0UFzn6elZaPdDRFTS+fj4PPogMmMvGfaSYS8Z9lLiokRjatWqhQsXLqBKlSpqj0JEpKpz587B29tb7TE0g71k2EuGvWTYS4mLEo154403MGzYMFSoUAEdO3aEtbU1zp49i2PHjuGdd95RezwiomITFBSk9giawl4y7CXDXjLspcS3BNaYFi1a4Ntvv8X+/fvRu3dv9O7dG9999x0qVKig9mhERMUqIiJC7RE0hb1k2EuGvWTYS0ln4vvFWiyDwQAAsDl0W+VJiMiSLDkVqvYIRERUwnCnhIiINCk0lIsbCfaSYS8Z9pJhLyXulFgw7pQQkRq4U0JERP/FnRIiItIk/qVRhr1k2EuGvWTYS4k7JRaMOyVEpAbulBAR0X9xp4SIiDRpy5Ytao+gKewlw14y7CXDXkrcKbFg3CkhIjUU1k5JZmYmbG1tC+VcloC9ZNhLhr1k2EuJOyVERKRJe/fuVXsETWEvGfaSYS8Z9lLiooSIiDQpMDBQ7RE0hb1k2EuGvWTYS4mLEiIi0qTo6Gi1R9AU9pJhLxn2kmEvJS5KiIhIk7y8vNQeQVPYS4a9ZNhLhr2UuCghIiJNSk9PV3sETWEvGfaSYS8Z9lLiooSIiDQpKytL7RE0hb1k2EuGvWTYS4mLEiIi0iQPDw+1R9AU9pJhLxn2kmEvJS5KiIhIk2JjY9UeQVPYS4a9ZNhLhr2UuCghIiJNCggIUHsETWEvGfaSYS8Z9lKyUXsAUldOdg6WF9KnKxMR5UdWRib0dgX/JOODBw+ibdu2hTCRZWAvGfaSYS8Z9lLSmUwmk9pDkDoMBgNMJhNWrFih9iiaYTQaYWXFDcb8Yi8Z9pJhLxn2kmEvGfaSYS8l1rBwCQkJao+gKZs2bVJ7BE1hLxn2kmEvGfaSYS8Z9pJhLyXulFgwg8EAAFi+fLnKkxARERGRJeNOiYWLi4tTewRNCQ3l628k2EuGvWTYS4a9ZNhLhr1k2EuJOyUWjDslRERERFQScKfEwsXHx6s9gqaEhYWpPYKmsJcMe8mwlwx7ybCXDHvJsJcSd0osGN99S47vliHDXjLsJcNeMuwlw14y7CXDXkqsYeGSk5PVHkFTwsPD1R5BU9hLhr1k2EuGvWTYS4a9ZNhLiTslFsxgMCA7OxurV69WexTNSElJgZubm9pjaAZ7ybCXDHvJsJcMe8mwlwx7KXGnxMKlpaWpPYKmREVFqT2CprCXDHvJsJcMe8mwlwx7ybCXEhclFs7ZyVntETSlcePGao+gKewlU5i9sjMyC+1cJVWlSpXUHkFT2EuGvWTYS4a9lGzUHoDUZWVthY/q9FN7DCIqZO8dX6n2CEUuKSkJFStWVHsMzWAvGfaSYS8Z9lLiTgkREWmSXq9XewRNYS8Z9pJhLxn2UuKihIiINMne3l7tETSFvWTYS4a9ZNhLiYsSIiLSJH74qwx7ybCXDHvJsJcSFyVERKRJvr6+ao+gKewlw14y7CXDXkpclBARkSZFRkaqPYKmsJcMe8mwlwx7KfHDEy2YwWAAAPj/bVR5EiIqbJbw7luZmZmwtbVVewzNYC8Z9pJhLxn2UuJOCRERadL27dvVHkFT2EuGvWTYS4a9lLhTYsG4U0JUelnCTgkREZUe3CkhIiJNCg0NVXsETWEvGfaSYS8Z9lLiTokF404JUenFnRIiItISG7UHICLSAq9qFdFqRC9UCKwGNx8vbJr4LY5t/MN8vYu3J9qO64dqTQJhrbfGjbOx+GH4J0i/mQZ7V0c8M/ol+DUNhJOXO27FJeHIht+xZ8Em4L6/C1UKehJt3noJPrWqIisjE2d3/Y3N732rxsPVhNDQUPTs2VPtMTSDvWTYS4a9ZNhLiYsSIqJ8sHWyR/KVOJz85U90+2horuusbfXov3A8Um8k4cc3ZuFWfDLKVq8MY/bdXUinMm5wcHPGzx8vRcI/V1DuySfQ7eOh0Ol02P1tGADAy68i+i0Yj79Dd2Hbx0uRnZkNr6oVivthagr/B12GvWTYS4a9ZNhLia8pISLKhyuR57Fj9iqc+mU//vus19odm8DR0w1rRn6G2CNnkRwbh7O7DiMzLR0AkPDPVYS+/RXORxxFcmwczuz8C8c2RSCgbUPzOZq82gWxR89i+/TvcePMJSRGX8WZnX8V62PUmm3btqk9gqawlwx7ybCXDHspcaeEiKiAqjSsiUt/n0bLN15Anc5NkZaYisNrd+DQ6l8feBt7F0ek37yd6xzHt+5Bn7lvo2KgHxIvXceuL9fi4sGTxfEQNKlFixZqj6Ap7CXDXjLsJcNeStwpISIqIOey7njiqQA4e7njh9dn4cCKn9Hunf4IaNcoz+PLPlkZtTo2wZ/Lfsp1jgYvtcOlw6exaugnuHz0HF6aPw4u3p7F9TA058iRI2qPoCnsJcNeMuwlw15KFrNTEhISgg0bNgAArK2tUa5cObRq1QpjxoyBm5ubytMRkZbprHTQWemwZfICZKdn4trJaFRtWheBXZoh6tcDuY51KuOGPl+9hf3LfsK5P478ew6dDldP/oN9i7cAAK6fjkHtjk1Qs10jHFjBbf68VK9eXe0RNIW9ZNhLhr1k2EvJonZKmjZtit27dyM8PBwfffQRdu7ciSlTpqg9FhFp3J2kVKReT0R2eqb5suTYG3Dx9sh1nIO7M/otHI9/9h3Hzi/X5LouLTkViRev/XuByYSUK/GKc9C/rl69qvYImsJeMuwlw14y7KVkUYsSW1tblC1bFuXLl0fz5s3RqVMn7NmzBwBgNBrx9ddfo1WrVqhTpw66du2K3377zXzb2NhY+Pv7Y+vWrejfvz/q1q2LHj16ICoqCmfOnMFLL72EoKAgvPzyy7h06ZL5djExMRg+fDiaNWuGoKAgPP/889i5c2euudq0aYN58+Zh0qRJqF+/Plq2bImFCxfmOiY1NRWTJ09G8+bNERgYiI4dO+Knn/596sfhw4fRv39/1KtXDy1atMDkyZNx69atoshIRP9x7dRFuJTzhLX+381nt/JlkHo9yfyzvasj+n4Xgmsn/8FPHy5WnOP6qYtwr1Qu12Wu5T1znYNyc3FxUXsETWEvGfaSYS8Z9lKyqEXJ/S5duoSIiAjY2Nz9JeL777/HokWLMHbsWGzevBlt27bFyJEjcerUqVy3++qrrzBkyBBs2LABLi4uePvttzF16lSMHj0aa9euRUZGBj7++GPz8WlpaWjZsiUWL16MjRs3on379hg5ciTOnz+f67zLli1DjRo1sGHDBgwZMgSzZs3C33//DQAwmUwYMmQIDh48iGnTpuGnn35CSEgI9Ho9AOD06dMYNGgQ2rRpg40bN2Lu3LmIiorChAkTijIhkUWxsrGGt38VePtXgU6ng5tPGXj7V4FTGTcc/2kvdFY6PDfhFXhWKY+a7RvBv21DHN96948etk4OePnbEKQlpSL8ix/hVMbN/HXP3+t3olqTOqj/4rPwqOyNlm+8AAd3F0T9dlCth0xERFRsLOY1JQAQERGB4OBg5OTkICMjAwAwfvx4AMCiRYswcOBAdO3aFQDw5ptv4tChQ1i0aBFmz55tPserr76KVq1aAQAGDhyIYcOGYc6cOXj66acBAP3798fUqVPNxwcEBCAgIMD88/Dhw7Fz50788ssveP31182XN2vWDP379wdw95PWly9fjn379iE4OBh79+7FkSNHsHXrVvj5+QEAKleubL7tokWL0LFjRwwcONB82QcffIAePXogISEBZcqUKYR6RJbNpZwHhqyfZv651YheaDWiF/6Ytx5/zAvFmhGfou24fngtdDpuXk9E+Bc/4NT2u68n8anli4qBd/9/d/TOr3Od96M6/QAAp3ccwi8zlqPpwK5oN7Yf4i9cwZoRs3HzWkIxPULtSU1NVXsETWEvGfaSYS8Z9lKyqEVJgwYNMHXqVKSnp2Pt2rWIiYmBwWDArVu3cOPGDTz11FO5jq9fvz7++OOPXJf5+/ubv7/3y36NGjVyXZaWloY7d+7AwcEBaWlpmDt3Lnbt2oW4uDhkZ2cjIyMj13n+e14AKFeuHBITEwEAJ0+eRNmyZc0Lkv86ceIELl68iJ9//tl82b3PUYiJieGihKgQpFyJNy8g8hJ94CQW9p6Y53UXD5566G3vObRqOw6t2v7YM1oaHx8ftUfQFPaSYS8Z9pJhLyWLWpQ4ODigSpUqAID33nsPBoMB8+bNw6uvvvrA2+h0ulw/33u61/3X5XWZ0Xj3k5w/+eQTRERE4N1330WVKlXg4OCAd999F1lZWQ88773z3DvHoxiNRvTu3Rv/+9//FNd5e3vn6xxERFpz7tw5/jdOgL1k2EuGvWTYS8liX1MCACNGjMCCBQtw+/ZtlCtXDn/9lfvTkw8fPvzA3Yn8Onz4MHr06IHnnnsOAQEBKF++PGJiYkTnqFWrFuLi4hSvQ7n/+nPnzqFKlSqKL3t7+wLNT0RUUgUFBak9gqawlwx7ybCXDHspWfSipHHjxqhevTrmz5+PQYMGYfHixdiyZQv++ecffPnllzh06BAGDRpUoPvw9fXFr7/+ihMnTuD06dMYN26c+fUs+dWkSRPUq1cPI0eOREREBC5duoQ9e/aY3x1syJAhOHbsGCZNmoSTJ0/i4sWL2LlzJyZNmlSg2YmISrKIiAi1R9AU9pJhLxn2kmEvJYt6+lZeXn31VYwfPx6//PILbt++jVmzZiEhIQFVq1bFnDlzcr1I/XGEhIRg4sSJ6NevH1xdXfHKK6+IFyVWVlZYsGABZs6ciXHjxuH27duoXLkyRowYAeDui+lXrFiBL774Av3794fRaETlypXRtm3bAs1ORFSSdejQQe0RNIW9ZNhLhr1k2EtJZ7r3imiyOAaDAQDg/3f+XrtCRNrx3vGVao9Q5EJDQ9GzZ0+1x9AM9pJhLxn2kmEvJS5KLBgXJUSllyUsSoiIqPSw6NeUEBGRdoWGhqo9gqawlwx7ybCXDHspcafEgnGnhKj04k4JERFpCXdKiIhIk7Zs2aL2CJrCXjLsJcNeMuylxJ0SC8adEqLSyxJ2SjIzM2Fra6v2GJrBXjLsJcNeMuylxJ0SIiLSpL1796o9gqawlwx7ybCXDHspcVFCRESaFBgYqPYImsJeMuwlw14y7KXERQkREWlSdHS02iNoCnvJsJcMe8mwlxIXJUREpEleXl5qj6Ap7CXDXjLsJcNeSlyUEBGRJqWnp6s9gqawlwx7ybCXDHspcVFCRESalJWVpfYImsJeMuwlw14y7KXERQkREWmSh4eH2iNoCnvJsJcMe8mwlxIXJUREpEmxsbFqj6Ap7CXDXjLsJcNeSlyUEBGRJgUEBKg9gqawlwx7ybCXDHspcVFCRESadPDgQbVH0BT2kmEvGfaSYS8lnclkMqk9BKnDYDDAaDRi5cqVao9CRIUsOyMTNna2ao9RpIxGI6ys+Le1/GIvGfaSYS8Z9lJiDQuXmJio9giaEhYWpvYImsJeMoXZq7QvSABg06ZNao+gKewlw14y7CXDXkrcKbFgBoMBALB8+XKVJyEiIiIiS8adEgsXFxen9giaEhoaqvYImsJeMuwlw14y7CXDXjLsJcNeStwpsWDcKSEiIiKikoA7JRYuPj5e7RE0ha+RkGEvGfaSYS8Z9pJhLxn2kmEvJe6UWDCDwQCTyYQVK1aoPYpm8N0yZNhLhr1k2EuGvWTYS4a9ZNhLiTUsXHJystojaEp4eLjaI2gKe8mwlwx7ybCXDHvJsJcMeylxp8SCGQwGZGdnY/Xq1WqPohkpKSlwc3NTewzNYC8Z9pJhLxn2kmEvGfaSYS8l7pRYuLS0NLVH0JSoqCi1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTC2dnZqT2CplSqVEntETSFvWTYS4a9ZNhLhr1k2EuGvZS4KLFwehsbtUfQlIoVK6o9gqawl8zj9srJyCzkSbQhKSlJ7RE0hb1k2EuGvWTYS4m/kVo4K2trrKzdX+0xiKgA+p2wzHfQ0+v1ao+gKewlw14y7CXDXkrcKSEiIk2yt7dXewRNYS8Z9pJhLxn2UuKihIiINIkf/irDXjLsJcNeMuylxEUJERFpkq+vr9ojaAp7ybCXDHvJsJcSFyVERKRJkZGRao+gKewlw14y7CXDXkr88EQLZjAYAAAdDvNfASIts9QXumdmZsLW1lbtMTSDvWTYS4a9ZNhLiTslRESkSdu3b1d7BE1hLxn2kmEvGfZS4k6JBeNOCVHpYKk7JUREVHpwp4SIiDQpNDRU7RE0hb1k2EuGvWTYS4k7JRaMOyVEpQN3SoiISOu4U0JERJrEvzTKsJcMe8mwlwx7KXGnxIJxp4Qob65+FVBvRC+UCawGJx8v7Jv4LS6ERQAAyjWsiXZLJ+Y6Pj0pFeubDzf/XCawGoLffhmeNX2Rk5mFi9v+xOGZq2DMygYA+PVqjSd7t4Grrw9yMrNw/eAp/D17NW5febwP0+JOCRERaR13SoiI/kPv6IBbl+NweNZqZN/JyPOYzd3ewfpWb2B9qzewpdu75sttXR3Ret5YpF68hp97v4fdY+ei0jP1ETTmRfMx5er749y6Xfil3xTsGDwDdm7OeObbd6Cz5n+SJbZt26b2CJrCXjLsJcNeMuylxP8FJCL6j4TI8/h79mrE/LIfD9pMzki4ifT4FKTHpyAj8ab5cq+61WHn7oxDM1YgNeY6ru8/iZOLt8KvR0vzomPfhG9xbm04Us7FIvl0DA7PWgW3ahXgVr1SsTy+0qJFixZqj6Ap7CXDXjLsJcNeSlyUEBE9hg4/fojnd85B63ljcy0mrPQ2MJlgfqoWAORkZsHW1QnOFcvmeS5bV0cAQNbN20U7dClz5MgRtUfQFPaSYS8Z9pJhLyUuSoiIBO7EJePP9xfgjze/wJ5xX0NnpUO779+DfRlXAEB85AUYM7NQ69XO0FlbwcHbE0/2bgMAsPN0VZxPZ6VD3RG9cPGX/bh9NaFYH4vWVa9eXe0RNIW9ZNhLhr1k2EuJi5ISJjY2Fv7+/oiMjFR7FCLKQ2r0VZwP/R1JUTG4cSgKf7z5BYxZ2aja7e5WfHp8MvZN/A4Bhufw0uEl6LrpE8TuPHz3xnk8FazBxFdg5+6M/ZMXFefDKBWuXr2q9giawl4y7CXDXjLspWSj9gClwYkTJ9CrVy/Uq1cPP/zwQ75vZzAY8OSTT2LSpEnmy3x8fLB79254eHgUxahEVMhyMrKQcv4ynCt6mS+L+WU/Yn7ZD3svd2TevI1yT/kDANJuJOW6bdCYF+HTrC5+HTAVWalpxTp3aeDi4qL2CJrCXjLsJcNeMuylxJ2SQrB27Vr07dsXZ8+exfnz5wt0Lmtra5QtWxY2NlwvEmmBztoKLk9449Zl5dv5pscnw5iZBd9OTZAacx1p9z09K/D1nvDt1AQ7Bk7Dnf8sVoiIiCwNf/MtoPT0dGzZsgUrV67EnTt3sG7dOrz77r9vD3rkyBF89tlnOHbsGKytrVG7dm3MmjULn3/+OQ4cOIADBw5g5cqVAIAdO3YAAJ599lmsW7cOgYGBAICDBw9i5syZiIqKgouLC7p06YKxY8fC1tYWwN0dFz8/P7i6uuLHH3+ElZUVevTogXHjxsHKiutOIikrvTXc/CoCAHQ6HRx9ysAj4AnciU+Bb+emuH0lHsmnY2DtYIda/+sEG0cH/LN5j/n2lds3RNrVBKQn3ETldg1RtXsL/Pned+braw3uCv/+z+H3EZ8iJzML9l5uAICs1DTkZGQV74PVsNTUVLVH0BT2kmEvGfaSYS8lLkoKaNu2bahQoQL8/f3RvXt3jB49GmPGjIFer0dUVBQGDBiA7t27Y/z48bC1tcXBgweRk5ODiRMnIjo6GlWrVsWYMWMAAJ6enornGF6/fh1DhgxBt27dMGPGDMTExOC9996DlZUVQkJCzMdt3rwZAwYMwA8//IBTp05h7NixqF27Nrp06VKsPYhKA4eyHui0fpr553ojeqHeiF449nUocjKz8NQ7/WBfxhVZaRlIPH4Bv736MdLjk83HO1coi4YT/wdbNyekXryG/ZMW4J9Nu83XP9mnDezcnNB++aT77zbXhzTSo/n4+Kg9gqawlwx7ybCXDHspcVFSQOvXr0f37t0BAI0aNYKDgwN27NiBDh06YMGCBahZsyamTp1qPt7Pz8/8vV6vh4ODA8qWzfttQgFg1apVKFeuHD744ANYWVnBz88Pb7/9NiZNmoQ333wTDg4OAO6+i8Obb74JAKhatSrWrl2Lffv2cVFC9BhuX4nHytr9H3j9yYWbH3r7U0t/wqmlPz3w+o3t33rs2ehf586dg7e3t9pjaAZ7ybCXDHvJsJcSn9tTABcvXsRff/1l/sVfp9Oha9euWLduHQDg1KlTePrppwt0H+fPn0e9evVyPQ3rqaeeQlZWFi5evGi+zN/fP9ftypUrh4QEvr0oEZVeQUFBao+gKewlw14y7CXDXkpclBTA2rVrkZOTg2eeeQa1atVCrVq18N1332HPnj3F8lZvOp3O/P1/Xxiv0+ke+EnURESlQUQEn+omwV4y7CXDXjLspcSnbz2m7OxshIWF4e2330br1q1zXffOO+9g/fr1qFmzJv78888HnkOv1yMnJ+eh9+Pn54eff/4ZRqPRvFvy119/Qa/X44knnijw4yAi0qoOHTqoPYKmsJcMe8mwlwx7KXGn5DHt2rULSUlJ6N27N2rUqJHrq1OnTggNDcWgQYNw8uRJvP/++4iKisKFCxewdu1aXLlyBQBQsWJFREZGIjY2FomJiTAajYr76du3L27cuIEPPvgA58+fx65du/Dpp5+if//+5teTEBFZotDQULVH0BT2kmEvGfaSYS8lLkoe07p169C4ceM8P+SwY8eOuHz5MhITE7FkyRJcuHABffr0QZ8+fbB161bzU60GDhwIvV6Pzp07o0mTJubFyv28vb2xYMECnDp1Ct27d8eECRPQuXNn8zt2ERFZqp49e6o9gqawlwx7ybCXDHsp6Ux84YHFMhgMAIAOh/mvAJGW9TuxQu0RVBEaGsr/YRdgLxn2kmEvGfZSEi1KEhISsHjxYhw/fhzXrl3D3Llz8eSTT2LZsmWoW7cugoODi3JWKmRclBCVDpa6KCEiotIj30/fOnbsGNq3b4/t27ejYsWKiImJQWZmJgAgLi4OS5YsKbIhiYiI/mvLli1qj6Ap7CXDXjLsJcNeSvlelEybNg2NGzfGL7/8gg8//DDX283WrVsXx44dK5IBiYiI8tK+fXu1R9AU9pJhLxn2kmEvpXwvSk6ePIm+ffvCysoq1+djAIC7uzs/qI+IiIrV3r171R5BU9hLhr1k2EuGvZTyvShxcXFBYmJintddunQJXl5ehTYUERHRowQGBqo9gqawlwx7ybCXDHsp5XtR0qZNG8yZMweXLl0yX6bT6ZCYmIjFixejXbt2RTIgERFRXqKjo9UeQVPYS4a9ZNhLhr2U8r0oGTt2LJydndGpUyf069cPADB58mR07NgRdnZ2GDVqVJENSURE9F/coZdhLxn2kmEvGfZSssnvgW5ubvjxxx+xceNG/Pnnn3B0dISbmxt69+6NHj16wNbWtijnJCIiyiU9PV3tETSFvWTYS4a9ZNhLKV+LkoyMDAwfPhxDhw5F79690bt376Kei4iI6KGysrLUHkFT2EuGvWTYS4a9lPL19C07OztERkbCaDQW9TxERET54uHhofYImsJeMuwlw14y7KUkeqH7b7/9VpSzEBER5VtsbKzaI2gKe8mwlwx7ybCXUr5fU9K8eXPMnDkTcXFxaNmyJby8vBSfV9KqVatCH5CIiCgvAQEBao+gKewlw14y7CXDXkr5XpSMGzcOALB9+3Zs375dcb1Op8OpU6cKbzIiIqKHOHjwINq2bav2GJrBXjLsJcNeMuylpDOZTKb8HHj58uVHHlOxYsUCD0TFx2AwAAA6HM7XvwJEVEL1O7FC7RFUYTQaYWWV72chWzz2kmEvGfaSYS+lfNeoWLHiI7+IiIiKy6ZNm9QeQVPYS4a9ZNhLhr2U8r1Tck9mZiauX7+OjIwMxXXVq1cvtMGo6BkMBpiMRqxYuVLtUYioAHIyMmFtx8+KIiIi7cr3Tsn169cxdOhQ1KtXD+3bt0fXrl3NX126dEHXrl2Lck4qIvEJCWqPoCmhoaFqj6Ap7CXzuL0sdUHCf79k2EuGvWTYS4a9lPK9UzJkyBCcPHkSr732GqpXrw69Xq84plGjRoU+IBWde68pWb58ucqTEBEREZEly/dOyeHDhzFx4kS88soraNasGRo1aqT4Iu2Jj49XewRNCQsLU3sETWEvGfaSYS8Z9pJhLxn2kmEvpXzvlLRv3x4hISFo06ZNUc9ExcRgMMBkMmHFCst8557HwXfLkGEvGfaSYS8Z9pJhLxn2kmEvpXzXGDVqFBYsWIBbt24V5TxUzJKTk9UeQVPCw8PVHkFT2EuGvWTYS4a9ZNhLhr1k2Esp3zslo0aNwrFjx3D79m0EBgbCxcUl94l0OnzxxRdFMSMVEYPBgOzsbKxevVrtUTQjJSUFbm5uao+hGewlw14y7CXDXjLsJcNeMuyllO+dkqSkJFSuXBkBAQHIyspCYmJirq8EvouTJqWlpak9gqZERUWpPYKmsJcMe8mwlwx7ybCXDHvJsJeSTX4P5Ds0lU52dnZqj6AplSpVUnsETWEvGfaSYS8Z9pJhLxn2kmEvpcd6hY3JZML169eRnZ1d2PNQMeM/Q5mkpCS1R9AU9pJhLxn2kmEvGfaSYS8Z9lISLUp+//139O7dG4GBgWjdujVOnz4NAHjvvfewcePGIhmQipaDvb3aI2hKnTp11B5BUyyllzEjs1DOk9fnP9GDsZcMe8mwlwx7ybCXUr6fvhUWFoYJEyaga9eu6Nu3L8aPH2++ztfXF+vWrUP37t2LZEgqOlbW1tjd6kW1xyDStOa//1go57HnHwlE2EuGvWTYS4a9ZNhLKd87JfPnz8egQYPwySefoFu3brmue/LJJ3H+/PlCH46IyJLww0xl2EuGvWTYS4a9ZNhLKd+LkitXrqBp06Z5Xmdra8vPLyEiKiBfX1+1R9AU9pJhLxn2kmEvGfZSyveixMfHB6dOncrzuuPHj6NKlSqFNhQRkSWKjIxUewRNYS8Z9pJhLxn2kmEvpXwvSnr16oW5c+di48aNSE9PB3D3Xbj27duHhQsXonfv3kU2JBGRJXjQbjTljb1k2EuGvWTYS4a9lPK9KBkyZAi6d++OkJAQNG7cGADw0ksvYdCgQejUqRMGDBhQZEMSEVmC7du3qz2CprCXDHvJsJcMe8mwl5LOZDKZJDeIiYnBvn37kJSUBDc3Nzz99NOoWrVqUc1HRchgMAAAhsYUztuZElmqwnr3LSIiIkv1yJ2SS5cuIS4uzvzzE088gezsbLi4uMBoNGLv3r0ICwsryhmJiCxCaGio2iNoCnvJsJcMe8mwlwx7KT10pyQiIgKvvfYa5s+fj9atWwMAcnJyULt2beh0Oty7qU6nw4IFC9C8efNiGZoKB3dKiAoHd0qIiIgK5qE7JWvXrkXLli3NC5L7rVu3DlFRUYiKisKLL76INWvWFNWMREQWgX85k2EvGfaSYS8Z9pJhL6WHLkqOHDmCzp07P/IkzZs3x5EjRwprJiIii9SzZ0+1R9AU9pJhLxn2kmEvGfZSsnnYlYmJiahQoUKuy6ytrfHOO+/Ax8fHfJm7uzsSExOLZkIisjgOVSqiysA+cK5ZHfbeXjgzfR5ubPsdAOAa6A/fof3g8EQFWOn1SIu+hItL1iL5wFEAgFtQLQR+OTnP8+7vPgRZyTehs7GG72t94fVME9i4OuPOpauIWbIWiXsOFdtjzMu2bdvQoUMHVWfQEvaSYS8Z9pJhLxn2UnroosTJyQnJycmKywcOHJjr5+TkZDg5ORXqYERkuawdHZB+LQ7xu/bhyZDXc11nzMzClQ3bkHY+BjnpGSj7bDPU+ngc/h78Lu5cvIybx09j//Ov5bqN72t9YV/BG1nJNwEAlfr1QNn2LXD6w6+QfuU6vDu0QsCHb+HwgLeRfvlasT3O/2rRooVq961F7CXDXjLsJcNeMuyl9NCnb9WpUwc7d+585EnCw8NRp06dQhuKiCzbrVPnED1/BeJ3/gkYc78Xx63TFxC/Yy/SomORcS0OsSvDkHMnHa51AwAApuwcZCWmmL+yb6XBs1kDXP/p3/+WuQT4IenPv5Fy+DgyrsUh5vv10EEHJ78nivVx/hefBivDXjLsJcNeMuwlw15KD12UvPzyy9iwYcND3/J348aN2LhxI15++eXCno2I6OGsdCjbtjlsnJ1w+2x0nod4tWwMnbUV4nf9ab4s5VgUXAMDYFeuDACgbJtmyLlzBzePnymOqR+oevXqqt6/1rCXDHvJsJcMe8mwl9JDn77Vtm1b9O/fHyEhIVi1ahWaNWsGHx8f6HQ6XLt2DXv27MHRo0cxYMAAtG3btrhmJiJCw7XzYOvpjpyMDJx6/1Pcijqf53Hlu7RB/M59MKZnmC+7vHoTrB3s0eDHuTAZjchOvY0T785AVmJyMU2ft6tXr8Lb21vVGbSEvWTYS4a9ZNhLhr2UHrooAYAJEyagUaNG+P7777Fo0SJkZt79TAtbW1sEBQVh7ty5ePbZZ4t8UEsXEhKCpKQkfPvtt3n+TGRpjo2cDBsXJ3i1agy/MYOQFh2reD2IfSUfuAXXRvSC1bkuL9P6aZRr1xyn3vsUGdfiUKZVI9T8aCyODn8PGdfioBYXFxfV7luL2EuGvWTYS4a9ZNhL6ZGLEuDujknbtm2Rk5NjfuG7u7s7rK2ti3K2Ei0kJAQbNmxQXB4WFoaaNWsW+v1NnDgRD/mcSyKLk3EtDhnX4nD7bDRcaj2Jin064/zni3IdU75LG6RFxyL1xNlcl1cd1g+Xf9xifret2+cvwvPp+ijfpQ0uLuQHIRIRERW3fC1K7rG2tkaZMmWKahbNadq0KWbOnJnrMg8PjyK5L66oiR7MZDTCyt4u12U6a2uUe64lLv+4RXG8jbOTYpFvysmBlZ1tkc75KKmpqarev9awlwx7ybCXDHvJsJfSQ1/oTg9na2uLsmXL5vpavnw5unbtiqCgILRo0QITJ07EzZs3zbcJDQ1FcHAwfv/9d3To0AH16tXDsGHDkJqaim3btqF9+/Z46qmnMG7cOKSnp5tvFxISgqFDh+Y5R1hYGBo3bmx+at09b7/9NoYNG1Y0D56oCOlsrOFUvQqcqlcBrHSw8/aCU/Uq0Hu6oUKfzvBq0xQOVSrCvpIPKvXtDvenApEQcSDXOTybN4CNqzNu/PKH4vxJB46i0ktd4Va/Dux8yqFC705wDvBD4t7DxfUQ83T/5z/Ro7GXDHvJsJcMe8mwlxIXJYVMp9NhwoQJ2LJlCz799FMcO3YMU6dOzXVMZmYmlixZgtmzZ2Pp0qU4fvw4Ro4cibCwMHz11Vf4+uuvsWvXLqxatSpf99mhQwcYjUb89ttv5stSU1Px22+/oVevXoX6+IiKg62XJ4IXzUTwopmwtrdDlYF9ELxoJny6tYMpKxuVDc+j3jcfI3jBDHi1aYIz0+chcXfuDz4s3+VZJP35N7KSUhTnP/fZAiQdOIIaE95A/aWz4d2xNc58PBcpf58oroeYp3Pnzql6/1rDXjLsJcNeMuwlw15KoqdvUW4REREIDg42//zUU09h4cKF5p8rVaqEcePG4fXXX8cnn3wCK6u7a8Ds7GxMmjQJ1apVAwB07doVS5cuxZ49e+Dp6QkAePbZZ7F//37FB1Xmxd7eHl27dsX69evRqVMnAMDmzZvh7OyM1q1bF9bDJSo2GdfisLvViw+8/uqGXx55jhPjpj3wupxbaTj/2SKc/2zRA49RQ1BQkNojaAp7ybCXDHvJsJcMeylxp6QAGjRogLCwMPPXxx9/jH379uHVV19Fy5YtERwcjJEjRyIrKwtxcf++o4+tra15QQIAZcqUgZeXl3lBcu+yhISEfM/Sp08f7N27F9eu3X33ofXr16NHjx6wseG6k0grIiIi1B5BU9hLhr1k2EuGvWTYS4mLkgJwcHBAlSpVzF/Z2dkYOnQo/Pz88OWXXyI0NBTTpt39a21WVpb5dv9dKOh0Ouj1esVlRqMx37MEBASgVq1aCA0NxZkzZ3D8+HG88MILBXh0RFTcOnTooPYImsJeMuwlw14y7CXDXkpclBSi48ePIysrC+PHj0dwcDCqVq2KGzduFNv99+nTBxs2bMDatWtRv379XLsxRFTyhYaGqj2CprCXDHvJsJcMe8mwlxIXJYWoSpUqMBqNWLZsGS5duoQtW7Zg2bJlxXb/nTt3Rnx8PFavXs0XuBNpUM+ePdUeQVPYS4a9ZNhLhr1k2EuJi5JCFBAQgIkTJ2LJkiXo3Lkz1q5di3feeafY7t/Z2RkdOnSAra0tOnbsWGz3S0SFg385k2EvGfaSYS8Z9pJhLyWdiR8TXqoMHjwY5cuXx0cfffTIYw0GAwBgaEzmI44koodp/js/BZ6IiKgguFNSSqSkpGDHjh3Ys2cPBgwYoPY4RPQYtmxRfvo8PRh7ybCXDHvJsJcMeylxp6SUaNOmDZKTkzFs2DC89tpr+boNd0qICkdh7ZRkZmbC1ta2UM5lCdhLhr1k2EuGvWTYS4k7JaVEeHg4Dh8+nO8FCRGVPHv37lV7BE1hLxn2kmEvGfaSYS8lLkqIiEqIwMBAtUfQFPaSYS8Z9pJhLxn2UuKihIiohIiOjlZ7BE1hLxn2kmEvGfaSYS8lLkqIiEoILy8vtUfQFPaSYS8Z9pJhLxn2UuKihIiohEhPT1d7BE1hLxn2kmEvGfaSYS8lLkqIiEqIrKwstUfQFPaSYS8Z9pJhLxn2UuKihIiohPDw8FB7BE1hLxn2kmEvGfaSYS8lLkqIiEqI2NhYtUfQFPaSYS8Z9pJhLxn2UuKihIiohAgICFB7BE1hLxn2kmEvGfaSYS8lLkqIiEqIgwcPqj2CprCXDHvJsJcMe8mwl5LOZDKZ1B6C1GEwGAAAQ2MyVZ6ESNua//5joZzHaDTCyop/K8ov9pJhLxn2kmEvGfZSYg0iohJi06ZNao+gKewlw14y7CXDXjLspcSdEgvGnRKiwlFYOyVERESWykbtAUhdOdnZ/IWKqICMGZmwsrMt8HlCQ0PRs2fPQpjIMrCXDHvJsJcMe8mwlxJ3SizYvZ2S5cuXqzwJEREREVkyvqbEwsXHx6s9gqaEhYWpPYKmsJcMe8mwlwx7ybCXDHvJsJcSd0osmMFggMlkwooVK9QeRTP4bhky7CXDXjLsJcNeMuwlw14y7KXEGhYuOTlZ7RE0JTw8XO0RNIW9ZNhLhr1k2EuGvWTYS4a9lLhTYsEMBgOys7OxevVqtUfRjJSUFLi5uak9hmawlwx7ybCXDHvJsJcMe8mwlxJ3SixcWlqa2iNoSlRUlNojaAp7ybCXDHvJsJcMe8mwlwx7KXFRYuHs7OzUHkFTKlWqpPYImsJeMuwlw14y7CXDXjLsJcNeSlyUWLjs7Gy1R9CUpKQktUfQFPaSYS8Z9pJhLxn2kmEvGfZS4qLEwul0OrVH0BS9Xq/2CJrCXjLsJcNeMuwlw14y7CXDXkpclFg4vh2djL29vdojaAp7ybCXDHvJsJcMe8mwlwx7KfE3Ugtny5W6SJUqVdQeQVPU7mXMylT1/qX4YaYy7CXDXjLsJcNeMuylZKP2AKQuK2trRA3srfYYREUiYPFatUcQ8fX1VXsETWEvGfaSYS8Z9pJhLyXulBARlRCRkZFqj6Ap7CXDXjLsJcNeMuylxA9PtGAGgwEAMFGfrvIkREVDazslmZmZsLW1VXsMzWAvGfaSYS8Z9pJhLyXulBARlRDbt29XewRNYS8Z9pJhLxn2kmEvJe6UWDDulFBpp7WdEiIiIkvFnRIiohIiNDRU7RE0hb1k2EuGvWTYS4a9lLhTYsG4U0KlHXdKiIiItIE7JUREJQT/cibDXjLsJcNeMuwlw15K3CmxYNwpodKOOyVERETawJ0SIqISYtu2bWqPoCnsJcNeMuwlw14y7KXEnRILxp0SKu20tlNy+/ZtODk5qT2GZrCXDHvJsJcMe8mwl5KN2gMQkXbYVqgErx4vwqFqdejLeOHqoq+RsmcXAMChRi2U6fI87KtUg06vR8ali4hbvxp3zpw03945uCHcn2kPh6rVYe3kjPPjXkdWQpz5emtXd5R7cQAcqlWHrbcP4jeuQfxGbS0sCuLIkSNo1qyZ2mNoBnvJsJcMe8mwlwx7KfHpW0SUb1b29siKv4Eba76HMSMj13UO1aoj/fwZxH45HdEfvIP0C+dQ+a0J0Hv7/Ht7B0fcOXca8ZvX531+W1sYb99C/KZ1yIy7XqSPpSSqXr262iNoCnvJsJcMe8mwlwx7KXFRQkT5ln7hHOLWLEfqwX3Af575mbhtE+I3rkX6hXPIunENN35cBlNONpwDg83H3Nz7OxI2rcu1e3K/rPgbuL5qMW7u+wOm/yx6LMHVq1fVHkFT2EuGvWTYS4a9ZNhLiYsSIioSOltb6KxtkJN2S+1RNMPFxUXtETSFvWTYS4a9ZNhLhr2ULHpRsm3bNvj7+6s9BlGp5NW1F3JSU5B66E+1RyEiIqISrtQtSk6cOIGaNWvipZdeUnuUBzIYDPjwww/VHoOoyLg0agr3Ns8hdu5smDIz1R5HM1JTU9UeQVPYS4a9ZNhLhr1k2Eup1C1K1q5di759++Ls2bM4f/682uMUuaysLLVHIMrFOagByr8yFJfnzEJGzD9qj6MpPj4+jz6IzNhLhr1k2EuGvWTYS6lULUrS09OxZcsW9OnTB8899xzWrVuX6/qwsDA888wzqFevHoYOHYqEhATzdf/88w/8/f1x+vTpXLf58ccf0bhxY/Mv/+fOncNrr72G4OBgNGnSBGPGjEFc3L9vaRoSEoKhQ4di2bJlaNGiBRo2bIjx48fjzp075usPHDiAlStXwt/fH/7+/oiNjcX+/fvh7++PxMRE87liY2Ph7++PyMhIADAf8/vvv6NXr16oU6cOdu/eDZPJhAULFqBt27aoW7cuunbtio0bNxZuXKJ8cKpdDz5DRuLKN58jLeq42uNozrlz59QeQVPYS4a9ZNhLhr1k2EupVC1Ktm3bhgoVKsDf3x/du3dHWFiYeTFx9OhRhISEoE+fPubFyVdffWW+bdWqVREYGIjNmzfnOufmzZvRsWNH6PV63LhxA/369cOTTz6JdevWYcmSJUhLS8Prr78Oo9Fovs2hQ4dw9uxZLF26FJ9//jl+/fVXfP/99wCAiRMnIjg4GD179sTu3buxe/du8Wp59uzZGD16NH7++WfUq1cPX3zxBdatW4dJkyZh69ateO211zB58mTs2rXrMUsSPYC1Dewq+8Kusi+g08HG0wt2lX1h7eoOx4DaqDhiLG6sWY70i9GwdnWHtas7rBwczTe3cnKGXWVf2HpXAHD3c0/sKvtCZ2dvPube+XV6W1i7usOusi9sPL2K+5GqIigoSO0RNIW9ZNhLhr1k2EuGvZRK1aJk/fr16N69OwCgUaNGcHBwwI4dOwAA33//PZo0aYLhw4ejatWqeOmll9C2bdtct+/WrRu2bt2Kex9yf+XKFRw6dAjdunUDAKxevRoBAQEYN24c/Pz8EBAQgE8++QTHjh3D8eP//lXY2dkZU6ZMgZ+fH5o3b44OHTpg3759AO6+24Jer4eDgwPKli2LsmXLwtraWvQ4R4wYgebNm6Ny5cqwt7fHkiVL8PHHH6Nly5aoXLkyunbtit69e2PlypWPF5LoAfTuHqg6ZRaqTpkFKzs7lH3+RVSdMgsez7SDW9PWsLKzh88rQ/HkFwvMX94vv2q+vUtQA1SdMgsVhr4JAKj81gRUnTILDr7VzMfcO7+td3l4PNMeVafMQtkeLxb7Y1VDRESE2iNoCnvJsJcMe8mwlwx7KZWaT3S/ePEi/vrrL8yePRsAoNPp0LVrV6xbtw4dOnTA+fPn8cwzz+S6TVBQUK6neHXu3BmffPIJDh06hIYNG2LLli2oVKkS6tevD+Dui+gPHTqE4OBg/FdMTAzq1q0L4O4H4ty/0ChXrhyOHj1aaI+1Tp065u/PnTuHjIwMDB48GDqdznx5VlYWKlasWGj3SQQAWQlxiBrY+4HXX1389UNvn7Jnl/kT4B/kYecv7Tp06KD2CJrCXjLsJcNeMuwlw15KpWZRsnbtWuTk5ORaeNzb8cjvB9SUKVMGTZs2xebNm9GwYUNs3rwZXbt2NV9vNBrRqlUrvPvuu3ne9h4bm9xZdTqdeZYHsbJSblplZ2fneayDg4P5+3vnnT9/PipUqJDruP/OQUQlW2hoKHr27Kn2GJrBXjLsJcNeMuwlw15KpeK31uzsbISFheHtt99G69atc133zjvvYP369fDz81PsVuS1e9GtWzdMnToVffr0wZkzZ3K97qR27dr4+eefUaFCBej1+seeV6/XIycnJ9dlnp6eAIAbN26Yvz916tQjz+Xn5wdbW1tcuXIFTZo0eeyZiEh9/B8oGfaSYS8Z9pJhLxn2UioVrynZtWsXkpKS0Lt3b9SoUSPXV6dOnRAaGor+/ftj7969+PbbbxEdHY01a9bg119/VZyrbdu2yMrKwsSJExEYGIiqVauar+vbty9SU1Px1ltv4ejRo7h06RL27t2L999/H7du5f9TqytWrIjIyEjExsYiMTERRqMRTzzxBHx8fDB37lz8888/2L17N+bPn//Iczk7O2PgwIGYOXMm1q1bh4sXL+LUqVNYvXo1fvzxx3zPRETqCw0NVXsETWEvGfaSYS8Z9pJhL6VSsShZt24dGjduDA8PD8V1HTt2xOXLl3H79m18/PHHWL16Nbp164bt27dj5MiRiuMdHBzQrl07REVFmV/gfo+3tzdWr14NKysrDB48GJ07d8aUKVNga2sLW1vbfM87cOBA6PV6dO7cGU2aNMGVK1eg1+vx2Wef4dKlS+jevTvmzJmDMWPG5Ot8o0ePxogRI7B48WJ07twZr776KrZv345KlSrleyYiUh//cibDXjLsJcNeMuwlw15KOtOjXuxApZbBYAAATNSnqzwJUdEIWLxW7RFEtmzZgi5duqg9hmawlwx7ybCXDHvJsJcSFyUWjIsSKu20tijJzMwU7bpaOvaSYS8Z9pJhLxn2UioVT98iIioN9u7dq/YImsJeMuwlw14y7CXDXkpclBARlRCBgYFqj6Ap7CXDXjLsJcNeMuylxEUJEVEJER0drfYImsJeMuwlw14y7CXDXkpclBARlRBeXl5qj6Ap7CXDXjLsJcNeMuylxEUJEVEJkZ7ON52QYC8Z9pJhLxn2kmEvJS5KiIhKiKysLLVH0BT2kmEvGfaSYS8Z9lLiooSIqITI6wNg6cHYS4a9ZNhLhr1k2EuJixIiohIiNjZW7RE0hb1k2EuGvWTYS4a9lLgoISIqIQICAtQeQVPYS4a9ZNhLhr1k2EuJixIiohLi4MGDao+gKewlw14y7CXDXjLspaQzmUwmtYcgdRgMBgDARD3fAYJKp4DFa9UeQcRoNMLKin8ryi/2kmEvGfaSYS8Z9lJiDSKiEmLTpk1qj6Ap7CXDXjLsJcNeMuylxJ0SC8adEirttLZTQkREZKm4U0JEVEKEhoaqPYKmsJcMe8mwlwx7ybCXEndKLJjBYIDJaMSKlSvVHoWoSBizMmGlt1V7DCIiInoE7pRYuITERLVH0JSwsDC1R9AUtXtpbUGidi+tYS8Z9pJhLxn2kmEvJe6UWDCDwQCTyYQVK1aoPYpm8N0yZNhLhr1k2EuGvWTYS4a9ZNhLiTUsXHJystojaEp4eLjaI2gKe8mwlwx7ybCXDHvJsJcMeylxp8SCGQwGZGdnY/Xq1WqPohkpKSlwc3NTewzNYC8Z9pJhLxn2kmEvGfaSYS8l7pRYuLS0NLVH0JSoqCi1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTC2dnZqT2CplSqVEntETSFvWTYS4a9ZNhLhr1k2EuGvZS4KLFw2dnZao+gKUlJSWqPoCnsJcNeMuwlw14y7CXDXjLspcRFiYXT6XRqj6Aper1e7RE0hb1k2EuGvWTYS4a9ZNhLhr2UuCixcHw7Ohl7e3u1R9AU9pJhLxn2kmEvGfaSYS8Z9lLib6QWLisrS+0RNCU+Pl7tETSFvWTYS4a9ZNhLhr1k2EuGvZS4KLFwzk5Oao+gKU899ZTaI2hKcfUyZZeOxbWvr6/aI2gKe8mwlwx7ybCXDHsp2ag9AKlLZ2WFizPeUHsMogKpEvK12iMUisjISLRu3VrtMTSDvWTYS4a9ZNhLhr2U+OGJFsxgMAAAPqrtqvIkRAVTWhYlmZmZsLW1VXsMzWAvGfaSYS8Z9pJhLyU+fYuIqITYvn272iNoCnvJsJcMe8mwlwx7KXGnxIJxp4RKi9KyU0JERGSpuFNCRFRChIaGqj2CprCXDHvJsJcMe8mwlxJ3SiwYd0qotOBOCRERkbZxp4SIqITgX85k2EuGvWTYS4a9ZNhLiTslFow7JVRacKeEiIhI27hTQkRUQmzbtk3tETSFvWTYS4a9ZNhLhr2UuCghIiohWrRoofYImsJeMuwlw14y7CXDXkpclBARlRBHjhxRewRNYS8Z9pJhLxn2kmEvJRu1ByCikkdfpjzcWnSBnU8V2Lh5In7rctyO/NN8vcezL8CucnXYlq2IjMvncX3Vl4pzuD7dDs5BzWHj7IbsWylI3hmGtNN/AwAqDv8QNm5lFLdJCt+Amwd+K7oHVsJVr15d7RE0hb1k2EuGvWTYS4a9lLgoISIFna09slMSkBZ1GGU6G5TXW1nj1tG9cKhaE1b2Dorr3Vp0hkv9lkj6bR0yYi/AytEZuO89Na4unQlY/btRa1uuEsr1GY60M0eK5PFoxdWrV+Ht7a32GJrBXjLsJcNeMuwlw15KXJQQkULm1WhkXo0GAJTp1F9xfeKvawAAei8f2P5nUaLT28K14bNI/OUH3D5x8O6FKQm5jjHeuZXrZ8cnA5Fx6Ryyk+ML6RFok4uLi9ojaAp7ybCXDHvJsJcMeylxUUJEhcrWpwqsbO1gMhnhM+g9WNnZIz3mLJJ2rIPxzm3F8TobPZxqNUDib2tVmJaIiIhKAr7QnYgKlbWTK0xGI9yaPIek8FDEb1oC23IV8nwaGAA41nwKgA5pUX8X76AlUGpqqtojaAp7ybCXDHvJsJcMeylxUUJEhUqns4LOygo3//wV6f+cREbseSTt2gjH6oHQ2Slff+Jcrylun/oLpuwsFaYtWXx8fNQeQVPYS4a9ZNhLhr1k2Eup2BclISEh8Pf3h7+/P2rXro0mTZrAYDBg5cqVyMqynF9KQkJCMHToULXHICp0Of//epGsxBvmy+69VsTGxT3Xsfoy5WFfyQ+3ju0rtvlKsnPnzqk9gqawlwx7ybCXDHvJsJeSKjslTZs2xe7duxEeHo7FixejTZs2+Oqrr9CvXz+kpaWpMZJmZWdnw3TfuxoRqS3zxmWYTEbYuP/7lr82rp4AgOzU5FzHOgc1Q2bcFfOL6i1dUFCQ2iNoCnvJsJcMe8mwlwx7KamyKLG1tUXZsmXh7e2NmjVr4tVXX8Xy5ctx8uRJLFy4EACQkpKCd999Fw0bNkTdunXxv//9D2fPns11niNHjmDAgAEICgrCU089hQEDBuD69esAAIPBgA8//DDX8f/dnTAYDJg8eTJmzJiBRo0a4emnn8ayZcuQmZmJKVOmoEGDBmjdujXCwsJynef69et466230LBhQzRs2BCvvfYaoqOjzdfPmTMHXbp0wdatW9G2bVsEBwfj9ddfR2Jiovn6DRs2YNeuXeZdo/379wMAZs+ejeeeew5169ZFmzZtMHPmTGRkZCjOHRoairZt2yIwMBAbN25E48aNkZmZmWvOt99+G8OGDXuMf0Jk8aysoS9XCfpylQCdDjauHtCXqwQrJ1cAgI17WejLVYK1gxN0eru7x5YpDwAw3r6JO+eOw71FZ9hVrAp9uYpwb9EFaeeOw5Rx59/7sLaBU+1GuHXf559YuoiICLVH0BT2kmEvGfaSYS8Z9lIqMa8pqVGjBpo3b47t27cDuLuAOHr0KObNm4e1a9fC3t4egwcPRnp6OgAgKioKAwYMQJUqVbB69WqsWbMGnTp1Qk5Ojuh+N2/eDCcnJ6xZswavvfYapk2bhtdffx2+vr5Yv349evTogffeew83btx9KsqdO3cwYMAA2NnZYfny5fjhhx9QtmxZvPrqq7hz599fuC5fvoyffvoJc+fOxeLFi3Hq1Cl88cUXAICBAweiY8eO5h2j3bt3Izg4GADg4OCAadOm4aeffsLkyZPx008/Yf78+blmjo2NxZYtW/Dll19i48aNaNu2LYxGI3777d8PnUtNTcVvv/2GXr16yf5BEAGwdnFDhYHjUWHgeFjpbeHeogsqDBwPl+DmAIAynfqiwsDxcKrVAHY+VVBh4HiU6/O6+fYJW5cj89ollOv9BrxfGoXslAQkbF2e6z4ca9SDlZ09bh/fX6yPrSTr0KGD2iNoCnvJsJcMe8mwlwx7KZWotwSuXr069u3bh+joaISHh2PFihVo2LAhAGDWrFlo3bo1Nm/ejN69e2PBggWoWbMmpk6dar69n5+f+D6ffPJJjBw5EgDw6quv4rvvvoONjQ1eeeUVAMAbb7yBhQsX4vDhw+jQoQO2bt0Kk8mE6dOnQ6fTAQA+/PBDNG3aFDt37kSnTp0A3H1a1YwZM8zvQ92nTx+EhoYCAJycnGBvb487d+6gbNmyueZ54403zN9XqlQJQ4cOxeLFizF69Gjz5VlZWZg5cya8vLzMl3Xt2hXr16833//mzZvh7OyM1q1bi5sQ5aQk4uKMNx54fV6f4H4/Y3oa4jcteegxaaf+Qsypvx5rvtIqNDQUPXv2VHsMzWAvGfaSYS8Z9pJhL6UStSgxmUzQ6XQ4f/48rKyscj3fzsXFBTVq1DC/MOjUqVNo165dge/T39/f/L1Op0OZMmVyXabX6+Hq6oqEhLsf/nbixAnExsaifv36uc5z584dXLp0yfxzhQoVcn0wTrly5czneJht27Zh2bJliImJQVpaGnJycmA0GnMd4+3tnWtBAtxd9Dz//PO4du0aypcvb97lsbEpUf+Iiegh+D9QMuwlw14y7CXDXjLspVRinr4FAOfPn0flypUfesy93YlH0el0iheA5/XuXv/9pV2n0+V52b1zGY1GBAQEICwsLNfXL7/8ghdffNF8G71e/8h5/uvIkSMYM2YMmjdvjvnz52PDhg0YPXq0Ym5HR0fFbQMCAlCrVi2EhobizJkzOH78OF544YWH3h8RlSz3dlMpf9hLhr1k2EuGvWTYS6nE/Bn9zJkziIiIwPDhw+Hn5wej0YgjR46Yn75169YtnDlzxryyrFmzJv7888EvkPX09ERcXFyuy06fPo2KFSsWaM7atWtj69at8PDwgKur62OfR6/XK17/cvjwYXh7e+d6CteVK1fyfc4+ffpg4cKFSEpKQv369VGtWrXHno+Iih//cibDXjLsJcNeMuwlw15KquyUZGZmIi4uDtevX0dUVBSWLFkCg8GA2rVrY+DAgfD19cWzzz6LSZMm4dChQzh9+jTGjh0LZ2dndO3aFQAwePBgnDx5Eu+//z6ioqJw4cIFrF271vxL/NNPP40//vgDO3bswIULFzB9+nRcvXq1wLN37doVZcqUweuvv44DBw7g0qVLOHjwIGbMmJHrHbgepWLFijh79iwuXLiAxMREZGVlwdfXF9evX8emTZtw6dIlrFq1Clu2bMn3OTt37oz4+HisXr2aL3An0iDJ/78Te0mxlwx7ybCXDHspqbJTsnfvXjRv3hzW1tbm14qMHDkSffr0ga2tLQBg+vTpmDZtGoYPH46MjAzUr18fCxcuhL29PYC7OyVLlizB559/br5dnTp10KpVKwDACy+8gNOnT2PChAkAgH79+qFdu3ZISkoq0OwODg5YuXIlPv30U7z55ptITU1FuXLl0LhxY9HOSZ8+fXDgwAG88MILSEtLw/fff482bdpg0KBBmDZtGjIyMtCsWTOMGjUKU6ZMydc5nZ2d0aFDB/zyyy/o2LHj4z5EIlJJ+/bt1R5BU9hLhr1k2EuGvWTYS0ln4ifvlSqDBw9G+fLl8dFHHz3yWIPBAAD4qPbjPw2NqCSoEvK12iMUil27dvEd8wTYS4a9ZNhLhr1k2EupxLymhAomJSUFhw4dwp49e7Bx40a1xyGixxAYGKj2CJrCXjLsJcNeMuwlw15KJerdt+jxPf/88xg3bhzeeust1KhRQ+1xiOgxSF6XRuwlxV4y7CXDXjLspcSdklIiPDxc7RGIqID++/lD9HDsJcNeMuwlw14y7KXEnRIiohIiPT1d7RE0hb1k2EuGvWTYS4a9lLgoISIqIfL6gFd6MPaSYS8Z9pJhLxn2UuKihIiohPDw8FB7BE1hLxn2kmEvGfaSYS8lLkqIiEqI2NhYtUfQFPaSYS8Z9pJhLxn2UuKihIiohAgICFB7BE1hLxn2kmEvGfaSYS8lLkqIiEqIgwcPqj2CprCXDHvJsJcMe8mwlxI/0d2C8RPdqbQoLZ/objQaYWXFvxXlF3vJsJcMe8mwlwx7KbEGEVEJsWnTJrVH0BT2kmEvGfaSYS8Z9lLiTokF404JlRalZaeEiIjIUnGnhIiohAgNDVV7BE1hLxn2kmEvGfaSYS8l7pRYMO6UUGnBnRIiIiJt404JEVEJERYWpvYImsJeMuwlw14y7CXDXkrcKbFgBoMBJpMRK1asVHsUogIxZWdBZ6NXe4wC47uxyLCXDHvJsJcMe8mwlxJrWLjk5BS1R9CU3377Te0RNKW4epWGBQkAhIeHqz2CprCXDHvJsJcMe8mwlxJ3SiyYwWBAdnY2Vq9erfYompGSkgI3Nze1x9AM9pJhLxn2kmEvGfaSYS8Z9lLiTomFS0tLU3sETYmKilJ7BE1hLxn2kmEvGfaSYS8Z9pJhLyUuSiycnZ2d2iNoSqVKldQeQVPYS4a9ZNhLhr1k2EuGvWTYS4mLEguXnZ2t9giakpSUpPYImsJeMuwlw14y7CXDXjLsJcNeSlyUWDidTqf2CJqi15eOF1QXF/aSYS8Z9pJhLxn2kmEvGfZS4qLEwvHt6GTs7e3VHkFT2EuGvWTYS4a9ZNhLhr1k2EuJv5FauKysLLVH0JT4+Hi1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTCcaUu4+vrq/YImsJeMuwlw14y7CXDXjLsJcNeSlyUWLjbt2+rPYKmREZGqj2CprCXDHvJsJcMe8mwlwx7ybCXEj880YIZDAaYTEasWLFS7VGIHsmUkw2dtY3aYxSpzMxM2Nraqj2GZrCXDHvJsJcMe8mwl1Lp/l94eiSdzgrX1s5WewyiRyrfe6zaIxS57du3o0uXLmqPoRnsJcNeMuwlw14y7KXEnRILZjAYAACzutVTeRKiR7OERQkREZGl4mtKiIhKiNDQULVH0BT2kmEvGfaSYS8Z9lLiTokF404JaQl3SoiIiEov7pQQEZUQ/MuZDHvJsJcMe8mwlwx7KXGnxIJxp4S0hDslREREpRd3SoiISoht27apPYKmsJcMe8mwlwx7ybCXEhclREQlRIsWLdQeQVPYS4a9ZNhLhr1k2EuJixIiohLiyJEjao+gKewlw14y7CXDXjLspcRFCRFRCVG9enW1R9AU9pJhLxn2kmEvGfZS4ie6E1koa5cycKnTDHrP8rB2dEXKgZ9x5+IJ8/Uu9VrDtmxl2Lh5ISv+ChJ//9F8nU5vB5fAFrAtXxXW9o7IuXMbd/6JxO2o/eZjrOwc4VKvNfSePrBx8cCtE3tx6+TeYn2MWnP16lV4e3urPYZmsJcMe8mwlwx7ybCXEhclRBbKSq9Hzu0UpF86DbeGHfI4wBpp/0TCzrsKrPT2ua+yd4KVrQNuHv4NOamJsHHzglvDjoBOh9un/gQA6Kz1MGam49bJfXCu3bQ4HpLmubi4qD2CprCXDHvJsJcMe8mwlxIXJUQWKivxGrISrwEAXBs+p7g+9e8dAAAb1zKKRUlOaiKS/9z878+3U3Dn4gnYV3zSvCjJSUtB6pFwAIBTQKMieQxERERUOvA1JURUKKz09jBmZag9hqalpqaqPYKmsJcMe8mwlwx7ybCXEhclRFRgNq5esK/sj7TTh9QeRdN8fHzUHkFT2EuGvWTYS4a9ZNhLiYsSFcXGxsLf3x+RkZFqj0L02KzsHOHerAdunzmEjGsX1B5H086dO6f2CJrCXjLsJcNeMuwlw15KfE1JIYmPj8c333yDXbt24dq1a/Dw8IC/vz8MBgNatWqV5218fHywe/dueHh4FPO0RIVDZ+sAj1Z9kHn9Im4d3632OJoXFBSk9giawl4y7CXDXjLsJcNeStwpKQSxsbF4/vnnsXv3bowZMwabNm3C0qVL0bp1a0yePDnP22RmZsLa2hply5aFjQ3XhqQ9Or0dPFv2QnbSddw8/Kva45QKERERao+gKewlw14y7CXDXjLspcRFSSGYMmUKAGD9+vXo1KkTqlWrBj8/P/Tv3x+bNm0CAPj7+2PlypUYMWIEgoKC8PnnnyuevrV//374+/vj999/R8+ePVG3bl307dsX165dw4EDB9CtWzcEBwdj6NChSEpKyjXDvfsODAzEc889h6VLl8JoNBZvCNIWnRVs3MrCxq0sdNDBytEVNm5lYWXnCACwdnK/+7OtA3Q2eti4lYW1S5m7N7WxhUfLXjBmpCE18g9Y2Tmav+5nPr+1NazsHe+ez4Fvg/ggHTrk8dbM9EDsJcNeMuwlw14y7KXERUkBJScnIyIiAv369YOTk5PieldXV/P3c+fORatWrbB582b07dv3geecM2cOJkyYgDVr1uDmzZsYPXo0vv76a0ydOhXff/89zp49i7lz55qPX7NmDT7//HOMGjUKP/30E959910sWLAAq1atKtwHS6WKtYMzvNq/Aq/2r0Bno4dLnWbwav8KHP2CAABuDZ6DV/tX4PBEAPSe5eHV/hV4tugJANB7eMPW0wd25auiXNfhKNftdfPX/e6d38bZA45+QfBq/wpc6jQr7oeqGaGhoWqPoCnsJcNeMuwlw14y7KXE5w0VUExMDEwmE/z8/B55bKdOndC7d2/zz7GxsXke9+abb6JBgwYAgJdeeglTp05FaGgoateuDQB4/vnn8csvv5iPnzdvHsaOHWtedVeuXBkxMTFYtWoV+vfv/9iPjUq3nLSbuLZ29gOvv/8T3P8rM+7SQ297T36OoX/17NlT7RE0hb1k2EuGvWTYS4a9lLhTUkAmkynfx9apUydfx/n7+5u/L1Pm7tNlatSokeuyhIQEAEBiYiKuXr2KyZMnIzg42Pz16aefIiYmJt+zEZH6+JczGfaSYS8Z9pJhLxn2UuJOSQFVqVIFOp0O58+fR7t27R56rIODQ77Oef8L33U6HQBAr9fnuuze60Xu/d8pU6YgODhYNDsRlSz8y5kMe8mwlwx7ybCXDHspcaekgNzd3dG8eXOsWLECt2/fVlx/8+bNIr1/Ly8vlCtXDjExMahSpYrii4i0Y8uWLWqPoCnsJcNeMuwlw14y7KXERUkhuPe2vy+88AJ+/vlnXLhwAefPn8eqVavQrVu3Ir//UaNGYeHChVi6dCkuXLiAM2fOICwsDN9++22R3zcRFZ727durPYKmsJcMe8mwlwx7ybCXEhclhaBy5coIDQ1Fs2bNMHv2bHTr1g2vvPIKwsPD8eGHHxb5/ffu3RvTpk3Dxo0b0b17d/Tr1w8//vgjKlWqVOT3TUSFZ+/evWqPoCnsJcNeMuwlw14y7KWkM0leqU2lisFgAADM6lZP5UmIHq1877Fqj1DkEhISzG9uQY/GXjLsJcNeMuwlw15K3CkhIiohoqOj1R5BU9hLhr1k2EuGvWTYS4mLEiKiEsLLy0vtETSFvWTYS4a9ZNhLhr2UuCghIioh0tPT1R5BU9hLhr1k2EuGvWTYS4mLEiKiEiIrK0vtETSFvWTYS4a9ZNhLhr2UuCghIiohPDw81B5BU9hLhr1k2EuGvWTYS4mLEiKiEiI2NlbtETSFvWTYS4a9ZNhLhr2UuCghIiohAgIC1B5BU9hLhr1k2EuGvWTYS4mLEiKiEuLgwYNqj6Ap7CXDXjLsJcNeMuylxA9PtGD88ETSEkv48ESj0QgrK/6tKL/YS4a9ZNhLhr1k2EuJNYiISohNmzapPYKmsJcMe8mwlwx7ybCXEndKLBh3SkhLLGGnhIiIyFJxp4SIqIQIDQ1VewRNYS8Z9pJhLxn2kmEvJe6UWDDulJCWcKeEiIio9OJOCRFRCREWFqb2CJrCXjLsJcNeMuwlw15K3CmxYNwpIS2xhJ0SvhuLDHvJsJcMe8mwlwx7KdmoPQCpy5iTYxG/7JH2mXKyobMu3f/JCg8PR9u2bdUeQzPYS4a9ZNhLhr1k2EuJSzQLZ+RGmUhKSoraI2hKYfYq7QsSAGjYsKHaI2gKe8mwlwx7ybCXDHspcVFi4dLS0tQeQVOioqLUHkFT2EuGvWTYS4a9ZNhLhr1k2EuJixILZ2dnp/YImlKpUiW1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTCZWdnqz2CpiQlJak9gqawlwx7ybCXDHvJsJcMe8mwlxIXJRZOp9OpPYKm6PV6tUfQFPaSYS8Z9pJhLxn2kmEvGfZS4qLEwvHt6GTs7e3VHkFT2EuGvWTYS4a9ZNhLhr1k2EuJv5FauKysLLVH0JT4+Hi1R9AU9pJhLxn2kmEvGfaSYS8Z9lLiosTCcaUu4+vrq/YImsJeMuwlw14y7CXDXjLsJcNeSlyUWLjbt2+rPYKmREZGqj2CprCXDHvJsJcMe8mwlwx7ybCXks5k4qfnWSqDwQCj0YiVK1eqPYpmZGZmwtbWVu0xNIO9ZNhLhr1k2EuGvWTYS4a9lLhTYum4JhUpjf8BMRlziuzc27dvL7Jzl0bsJcNeMuwlw14y7CXDXkrcKbFgBoMBAPDlmy+pPAmpybNBZ7VHICIiIgvHnRIiKjKhoaFqj6Ap7CXDXjLsJcNeMuwlw15K3CmxYNwpIYA7JURERKQ+7pQQUZHhX4Jk2EuGvWTYS4a9ZNhLhr2UuFNiwbhTQgB3SoiIiEh93CkhoiKzbds2tUfQFPaSYS8Z9pJhLxn2kmEvJe6UWDDulBBQtDslt2/fhpOTU5Gdv7RhLxn2kmEvGfaSYS8Z9lLiTgkRFZkjR46oPYKmsJcMe8mwlwx7ybCXDHspcVFCREWmevXqao+gKewlw14y7CXDXjLsJcNeSlyUEFGRuXr1qtojaAp7ybCXDHvJsJcMe8mwlxIXJURUZFxcXNQeQVPYS4a9ZNhLhr1k2EuGvZRs1B6AqDTSWdvAsVIt6N3LQmdlg+w7qbgTewrZt5JyHWft6AbXgKbIuhmHW+cO/Xu5vTMcK9eCtZM7YDIh+1YC0mJOwpiVXsyPhIiIiKjocaeEqAg4Vq4FG2cP3Dr3F1JORiDnTiqcqzeEzvq+vwNYWcHJty5y0lIUt3eu3gAmYw5uRu1B6pn90Ont4VQtqPgeQCFJTU1VewRNYS8Z9pJhLxn2kmEvGfZS4qKEqAhYO7kjI/EKsm8nw5iRhvSr52Blo4eVnaP5GMdKtZCZdBU56bdy3VZno4e1vRPSr/8DY/pt5Ny5iYy4GNg4uhX3wygwHx8ftUfQFPaSYS8Z9pJhLxn2kmEvJS5KiIpAdmoi9G5lobPRAwBsPSsgJyMNOXfuLkD0bmVh4+SO9KvnFbc1ZWch+04qbD18AJ0OsLKGrbs3MlNuFOtjKAznzp1TewRNYS8Z9pJhLxn2kmEvGfZS4mtKiIpA2qUTcHoiEB5B7WEyGWHMuIPUMwcAkxE6G1s4VgnErbOHAOT92aWpZ/bDxe8peNTvCADIvhmPW+f+LsZHUDiCgoLUHkFT2EuGvWTYS4a9ZNhLhr2UuFOSh5CQEPj7+yu+Tp06VeBzz5kzB126dCmEKakksyvnC2snN9w8sx83T+5BVmoCXJ5sCFjZwKlKIDLjY5Fz5+YDb+/0RB0YszJw89QepJ7eB1hbw6lqvWJ8BIUjIiJC7RE0hb1k2EuGvWTYS4a9ZNhLiTslD9C0aVPMnDkz12UeHh4qTUOaorOCY0V/3Dp/GNk34wEAaRcj4V6vLew8fWDjUgZ6t7KwL1/NfDwAeNTvgOSjO2Dt6AK9uzeS/t4OGLP///bH4Va7Je5cPg1jRpoqD+txdOjQQe0RNIW9ZNhLhr1k2EuGvWTYS4k7JQ9ga2uLsmXL5vpavnw5unbtiqCgILRo0QITJ07EzZv//rU7NDQUwcHB2LdvH7p06YKgoCAYDAZcunTJfP3cuXNx9uxZ8+5LaGgoAGDJkiUPPXdqairGjRuHJk2aIDAwEM8++yyWLl0KABg/fjyGDh2aa36j0YjWrVtjyZIlRVyK/ktnZQWdlTWUT80yAVbWuHlqN1JORpi/spKvIzs1ESknI2DKyYLOWv/v8fe+M5n+/9zWxfIYCsu9f78pf9hLhr1k2EuGvWTYS4a9lLhTIqDT6TBhwgRUrlwZV65cwdSpUzF16lTMmjXLfExmZia+/fZbTJs2Dba2tggJCcEHH3yARYsWoVOnTjh79ix27tyJ5cuXA/j3w3Mede4vvvgCZ86cwbfffosyZcogNjYWiYmJAIA+ffqgX79+uHHjBsqVKwcA2LNnD+Lj49G9e/fiTEQATDnZyL6VBIcK/jBlZ8GYnQm7sk9AZ61H1s04xU6HKScL0OlgTL8NAMi+lQRTTjacqgTiztVz0Ol0cKxUEznptxXv1FXS9ezZU+0RNIW9ZNhLhr1k2EuGvWTYS4k7JQ8QERGB4OBg89fgwYPxv//9D02aNEGlSpXQqFEjjBs3Dj///DOMRqP5dtnZ2Zg0aRLq1q2LgIAADBw4EPv374fJZIK9vT0cHR1hY2Nj3n2xt7cHgEee+/Lly6hVqxbq1q2LihUronHjxujY8e6LoIODg1GtWjWEhYWZ51i/fj3atGkDT0/P4otGZqnnDyMn/RacqzeAW60W0Dt7IvXcIfPC42FM2Zm4dfYArGzt4RrQFC7+T8NkzEHq2QOAKe8XxpdU/EuQDHvJsJcMe8mwlwx7ybCXEndKHqBBgwaYOnWq+Wd7e3vs27cP3333Hc6fP4/U1FQYjUZkZWUhLi4O3t7eAO4+7atatWrm25UrVw5ZWVlISUmBu7v7A+/vUed++eWX8eabb+LEiRNo1qwZnnnmGTRq1Mh8+969e2PVqlV47bXXkJycjB07dmDu3LmFH4byxZSVjtv/HMnXsbejjykuy76djNTTfxbyVMWPfwmSYS8Z9pJhLxn2kmEvGfZS4k7JAzg4OKBKlSrmr+zsbAwdOhR+fn748ssvERoaimnTpgEAsrKyzLezscm9ztPpdACQazflvy5fvvzIc7dq1Qrh4eEYOHAgkpKSMHToUIwfP958ju7du+PKlSs4dOgQNm/eDE9PT7Ro0aJwYhA9pi1btqg9gqawlwx7ybCXDHvJsJcMeylxpySfjh8/jqysLIwfPx7W1ndfbLxr1y7xefR6PXJych7r3J6enujRowd69OiBli1bYsyYMZgyZQpsbW3h7u6O9u3bY/369Th16hR69OgBKyuuOUld7du3V3sETWEvGfaSYS8Z9pJhLxn2UuJvrflUpUoVGI1GLFu2DJcuXcKWLVuwbNky8XkqVqyIK1eu4MSJE0hMTERmZma+zv3ll1/it99+Q3R0NM6fP4/t27ejcuXKsLW1NR/Tu3dvbN68GVFRUejVq1eBHzNRQe3du1ftETSFvWTYS4a9ZNhLhr1k2EuJi5J8CggIwMSJE7FkyRJ07twZa9euxTvvvCM+z3PPPYdWrVqZX9i+ZcuWfJ3b1tYWn3/+Obp3746XX34Zt2/fxjfffJPrmMaNG6N8+fJo1KjR/7V370FR1f8fx19EoNFFAa8jjnkZVlnEXUglFxRRs/E2kzlqKak4o445/jQynNGs8AIzmpWojX9YmqLiGNLFMWsyxtBUEJwCYxPNFMlRLl5IWdR9//5w3DqsiB++LMfdfT1mmJFzDofPec5n1A9n94CuXbv+T9dL1Bz69u2r9xDcCnupYS817KWGvdSwlxr2cuYj4maP86EG1dbWYvDgwVi6dCnGjRvX6PEJCQkAgE/+b7Krh0aPsaAXRrvs3CdOnEBUVJTLzu9p2EsNe6lhLzXspYa91LCXM76nxAPY7XZUV1fjiy++QKtWrRyPCibSW7t27fQeglthLzXspYa91LCXGvZSw17OuCjxAOXl5Rg2bBg6deqE1NRU+Pn5Nf5FRC2gtrZW7yG4FfZSw15q2EsNe6lhLzXs5YyLEg8QEhICq9Wq9zCInPz3cdnUOPZSw15q2EsNe6lhLzXs5YxvdCcilwkMDNR7CG6FvdSwlxr2UsNeathLDXs546KEiFymrKxM7yG4FfZSw15q2EsNe6lhLzXs5YyLEiJymd69e+s9BLfCXmrYSw17qWEvNeylhr2ccVFCRC6Tl5en9xDcCnupYS817KWGvdSwlxr2csbfU+LF+HtKCHDt7ymx2+144gn+7ONRsZca9lLDXmrYSw17qWEvZ6xBRC7z9ddf6z0Et8JeathLDXupYS817KWGvZzxTokX450SAlx7p4SIiIjoUfBOCRG5TFZWlt5DcCvspYa91LCXGvZSw15q2MsZ75R4Md4pIYB3SoiIiEh/vFNCRC6TnZ2t9xDcCnupYS817KWGvdSwlxr2csY7JV6Md0oI4NO3HifspYa91LCXGvZSw15q2MsZaxCRyxw8eFDvIbgV9lLDXmrYSw17qWEvNezljHdKvFhCQgJEBNu3b9d7KKQjsd+FzxO+Ljn3tWvX0KZNG5ec2xOxlxr2UsNeathLDXupYS9nvFPi5W7cuKH3ENzKsWPH9B5Cs3PVggQASkpKXHZuT8ReathLDXupYS817KWGvZxxUeLlWrVqpfcQ3EpISIjeQ3Ar7KWGvdSwlxr2UsNeathLDXs546LEy925c0fvIbiV6upqvYfgVthLDXupYS817KWGvdSwlxr2csZFiZfz8fHRewhuxc/PT+8huBX2UsNeathLDXupYS817KWGvZzxje5ebPDgwaipqYHRaNR7KG6jtrYWrVu31nsYboO91LCXGvZSw15q2EsNe6nx1l69e/fGkiVLHrjvyRYeCz1GgoKC9B6C2/HGv0D+F+ylhr3UsJca9lLDXmrYSw17OeOdEiIiIiIi0hXfU0JERERERLriooSIiIiIiHTFRQkREREREemKixIiIiIiItIVFyVERERERKQrLkqIiIiIiEhXXJR4sYyMDMTHx6Nv374YP3488vPz9R5Si0tPT4fBYNB8WCwWx34RQXp6OmJiYhAREYGEhAScPn1ac45r165h0aJFiIqKQlRUFBYtWoTr16+39KW4RF5eHubMmYPY2FgYDAZkZWVp9jdXH6vViqlTpyIiIgKxsbFYv3493PFp5Y31Wrx4sdN8mzhxouaYuro6LF++HAMHDoTJZMKcOXNw6dIlzTHl5eWYM2cOTCYTBg4ciBUrVqCurs7l19fcNm3ahFdffRWRkZGIjo7GnDlz8Mcff2iO4Ry751FacX79KyMjA2PHjkVkZCQiIyMxadIk5OTkOPZzXmk11otz6+E2bdoEg8GAlJQUxzbOsSYQ8kr79u2TsLAwyczMlNLSUklJSRGTySQXL17Ue2gtat26dTJy5Ei5fPmy46OystKxf9OmTWIymeS7774Tq9Uq8+fPF4vFIjdu3HAcM3PmTBk1apQUFBRIQUGBjBo1SmbPnq3H5TS7nJwc+fDDD2X//v0SEREhX375pWZ/c/S5ceOGDBo0SObPny9Wq1X2798vJpNJNm/e3GLX2Vwa65WcnCzTp0/XzLfq6mrNMcuWLROLxSK5ublSVFQkU6dOlXHjxsmdO3dEROTOnTsyZswYmTp1qhQVFUlubq5YLBZJSUlpqctsNomJibJnzx6xWq1SUlIic+fOlUGDBmmacI7d8yitOL/+9cMPP0hOTo6cO3dOzp49K2vXrpWwsDD5/fffRYTzqr7GenFuNaywsFCGDh0qY8eOlQ8++MCxnXNMHRclXmrChAmyZMkSzbYRI0bImjVrdBqRPtatWyejR49+4D673S4Wi0U2btzo2Hbr1i0xmUyyc+dOEREpLS2V0NBQyc/PdxyTl5cnoaGhcubMGdcOvoWZTCbNf7Kbq09GRoaYzWa5deuW45gNGzZITEyM2O12V1+Wy9TvJXLvH/ZZs2Y1+DXXr18Xo9EoX331lWNbeXm5GAwGOXTokIjcW/gYDAYpLy93HJOdnS3h4eGaf+zcUU1NjfTu3Vt+/PFHEeEce5j6rUQ4vxrTv39/2blzJ+fVI7rfS4RzqyHXr1+XYcOGyS+//CJTp051LEo4x5qGL9/yQnV1dSguLta8TAkALBYLCgsLdRqVfi5cuICYmBjEx8dj4cKFuHDhAgCgrKwMV65c0XRq3bo1+vfv7+hUWFiIgIAAREZGOo6JiopCQECAx7dsrj4nT57ECy+8gNatWzuOiYmJweXLl1FWVtZCV9NyTpw4gRdffBEjR47E0qVLUVlZ6dhXVFSE27dvIyYmxrGtc+fO6Nmzp6ZXz5490blzZ8cxsbGxqKurQ1FRUctdiAv8888/sNvteO655wBwjj1M/Vb3cX45u3v3Lvbt24ebN2/CbDZzXjWifq/7OLecvfvuuxg5ciSio6M12znHmuZJvQdALa+6uhp3795Fu3btNNuDg4Nx5MgRnUalj4iICKSmpqJHjx6oqqrCp59+ismTJ+Pbb7/FlStXAOCBnS5fvgwAqKioQFBQEHx8fBz7fXx8EBQUhIqKipa7EB00V5+Kigp07NhRc47756yoqEDXrl1ddg0tLTY2FiNGjEBISAguXryIjz/+GNOmTUNWVhb8/f1RUVEBX19fBAYGar4uODhY0ys4OFizPzAwEL6+vm4/51auXIk+ffo4/iPEOdaw+q0Azq/6rFYrJk+eDJvNhoCAAKxfvx4GgwEFBQUAOK/qa6gXwLn1ILt378b58+exevVqp338u6tpuCghrzZkyBDN5/369cPw4cORnZ2Nfv366TQq8lSjR492/NlgMMBoNCI+Ph45OTl46aWXdByZ/lJTU3HixAns3LkTvr6+eg/nsdZQK84vre7duyM7Oxs3btzAgQMHkJycjG3btuk9rMdWQ71CQ0M5t+o5e/Ys1q5dix07dsDPz0/v4XgMvnzLCzX0k4nKykq0b99ep1E9Hp5++mn06tUL586dc7R4UKf7P6lo164dqqqqNE/CEBFUVVU5/YTE0zRXn3bt2mleBvDfc3p6w44dO6Jjx444d+4cgHvXe/fuXVRXV2uOq9+0fq+G7n66i1WrVmHfvn3YunWr5id/nGPOGmr1IN4+v/z9/dGtWzeEh4cjKSkJffr0wZYtWzivGtBQrwfx9rl18uRJVFdXY8yYMQgLC0NYWBiOHz+OHTt2ICwsDG3btgXAOaaKixIv5O/vD6PR6PRSrSNHjmheCuCNbDYb/vzzT7Rv3x4hISFo3769ppPNZkN+fr6jk9lsxs2bNzXvHyksLHR6La4naq4+JpMJ+fn5sNlsjmOOHDmCDh06ICQkpIWuRh9VVVW4fPkyOnToAAAIDw+Hn58fDh8+7Djm0qVLOHPmjKbXmTNnNI/aPHz4MPz9/REeHt6yF9AMVqxY4fhPds+ePTX7OMe0HtbqQTi/tOx2O+rq6jivHtH9Xg/i7XNr+PDh+Oabb5Cdne34CA8Px+jRo5GdnY3u3btzjjWFXu+wJ33t27dPjEaj7N69W0pLS2X58uViMpmkrKxM76G1qLS0NDl27JicP39eTp48KbNmzRKz2ezosGnTJomMjJQDBw6I1WqVBQsWPPCRfmPGjHE80m/MmDEe80jgmpoaOXXqlJw6dUoiIiIkPT1dTp065Xh0dHP0uX79ugwaNEgWLFggVqtVDhw4IGaz2S0fefiwXjU1NZKWliYFBQVy4cIFOXr0qEycOFFiY2M1vZYtWyaxsbFy+PBhKS4ubvCxmgkJCVJcXCyHDx+WmJgYt3ys5vvvvy9ms1mOHDmiedRoTU2N4xjOsXsaa8X5pbV69WrJy8uTCxcuSElJiaxZs0YMBoPk5OSICOdVfQ/rxbn1aP779C0RzrGm4KLEi23fvl2GDh0qRqNRXnnlFTl+/LjeQ2px9/+SMBqNEhMTI/PmzZPTp0879tvtdlm3bp1YLBYJDw+XKVOmiNVq1Zzj6tWrkpSUJGazWcxmsyQlJcm1a9da+lJc4ujRoxIaGur0kZycLCLN16ekpERef/11CQ8PF4vFIunp6W75uMOH9bp165YkJiZKdHS0GI1GiYuLk+TkZM3jMUVEbDabpKSkyIABAyQiIkJmz57tdMzFixdl1qxZEhERIQMGDJDly5eLzWZryUttFg9qFRoaKuvWrXMcwzl2T2OtOL+0kpOTJS4uToxGo0RHR8u0adMcj6YV4byq72G9OLceTf1FCeeYOh8RT/21kERERERE5A74nhIiIiIiItIVFyVERERERKQrLkqIiIiIiEhXXJQQEREREZGuuCghIiIiIiJdcVFCRERERES6elLvARAREbWUAwcOICMjA6dOnUJtbS26dOmCuLg4JCYmomPHji0+nszMTAQHB2P48OEt/r2JiB4nXJQQEZFXSEtLw9atWzF+/HhMnz4dzzzzDEpLS7Fr1y6UlZVhw4YNLT6mzMxMhIaGclFCRF6PixIiIvJ4Bw8exOeff46VK1diwoQJju0DBgzApEmTkJubq+PoiIiI7ykhIiKPt2XLFhiNRs2C5D5fX18MGTIEAFBVVYXk5GQMHDgQ/fr1Q0JCAn777TfN8QaDAdu3b9dsS09Px8CBAx2fZ2VlwWAwwGq1YsaMGTCZTHj55Zfx/fffO45JSEhAcXEx9u7dC4PBAIPBgKysrOa8bCIit8FFCRERebTbt2+jsLAQsbGxjR775ptvIjc3F++88w4++ugj2O12vPHGG/jrr7+a9L3ffvttxMfHY/369Xj++efx1ltv4dKlSwCA9957Dz169MCQIUOQmZmJzMxMxMXFNen7EBG5O758i4iIPNrVq1dRV1eHzp07P/S4Q4cOoaCgANu2bcOAAQMAANHR0YiPj8fmzZuRkpKi/L2nTZvmuDtjNBphsVjw008/4bXXXkOvXr3w1FNPISgoCCaTSfncRESehHdKiIjIK/j4+Dx0/6+//org4GDHggQAAgICMHToUJw4caJJ3zMmJsbx58DAQAQFBTnulBAR0b+4KCEiIo/Wtm1b+Pv7o7y8/KHHXblyBcHBwU7bg4ODce3atSZ972effVbzub+/P+rq6pp0LiIiT8ZFCREReTQ/Pz9ERkY2+oSt9u3bo7Ky0ml7ZWUl2rRp4/jc398ft2/f1hzT1EULERHdw0UJERF5vGnTpqGoqAh79+512me323Ho0CH069cPlZWVyMvLc+y7desWcnJyEBUV5djWqVMnnDlzRvP1R48ebdK4/P39YbPZmvS1RESehG90JyIijxcfH48ZM2ZgyZIlKCgowLBhwxAQEICzZ89i165d6NKlCzZs2ACz2YyFCxciKSkJbdu2xWeffYba2lrMnDnTca7hw4djx44d6NOnD7p27Yo9e/agpqamSePq3r07cnNz8fPPP6Nt27YICQlBYGBgc102EZHb4KKEiIi8wuLFi2E2m7F9+3YkJSXBZrOhS5cuiI+PR2JiIgBg48aNSEtLw6pVq2Cz2RAREYGtW7eiW7dujvPMmzcPVVVV+OSTT+Dn54cpU6agV69eyMjIUB7T3Llz8ffff2PBggWoqalBamoqxo8f32zXTETkLnxERPQeBBEREREReS++p4SIiIiIiHTFRQkREREREemKixIiIiIiItIVFyVERERERKQrLkqIiIiIiEhXXJQQEREREZGuuCghIiIiIiJdcVFCRERERES64qKEiIiIiIh09f+ponEmBi4aNwAAAABJRU5ErkJggg==\n", "text/plain": [ "<Figure size 864x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,10))\n", "plt.grid(axis='x',color='black', linestyle = ':', alpha=0.5)\n", "plt.title('Top 10 Genres', fontname='monospace', fontsize=25, y=1.05)\n", "a = sns.barplot(x='Count', y='Genre', data=genre_count[:10], palette='rocket')\n", "\n", "genres = genre_count['Genre'][:10].tolist()\n", "for i, val in enumerate(genres):\n", " x_val = genre_count[genre_count['Genre'] == val]['Count'].values[0]\n", " a.text(y=i, x= x_val -300, \n", " s=str(x_val),\n", " fontsize=14, fontname='monospace', color='white')\n", " \n", "for q in [a]:\n", " for w in ['bottom', 'left']:\n", " q.spines[w].set_linewidth(1.5)\n", " for w in ['right', 'top']:\n", " q.spines[w].set_visible(False)\n", "\n", "plt.xlabel('Count', fontsize=15)\n", "plt.ylabel('Genre', fontsize=15)\n", "plt.xticks(fontsize=14)\n", "plt.yticks(fontsize=14)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9c90727c", "metadata": { "papermill": { "duration": 0.031752, "end_time": "2021-08-07T19:05:06.216611", "exception": false, "start_time": "2021-08-07T19:05:06.184859", "status": "completed" }, "tags": [] }, "source": [ "#### What's next?\n", "\n", "\n", "Analysis and visualization on Year, Runtime, Language, Directors present in the dataset.\n", "\n", "Kindly <span style=\"color:red\">UPVOTE</span> if you found the notebook helpful.\n", "\n" ] }, { "cell_type": "markdown", "id": "043acec6", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T18:59:34.402722Z", "iopub.status.busy": "2021-08-07T18:59:34.402295Z", "iopub.status.idle": "2021-08-07T18:59:34.409465Z", "shell.execute_reply": "2021-08-07T18:59:34.407711Z", "shell.execute_reply.started": "2021-08-07T18:59:34.402690Z" }, "papermill": { "duration": 0.03126, "end_time": "2021-08-07T19:05:06.279978", "exception": false, "start_time": "2021-08-07T19:05:06.248718", "status": "completed" }, "tags": [] }, "source": [ "Suggestions are welcome" ] }, { "cell_type": "code", "execution_count": null, "id": "1d67569c", "metadata": { "papermill": { "duration": 0.031406, "end_time": "2021-08-07T19:05:06.343284", "exception": false, "start_time": "2021-08-07T19:05:06.311878", "status": "completed" }, "tags": [] }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 13.756448, "end_time": "2021-08-07T19:05:07.665636", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:04:53.909188", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/600/70600580.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "british-banana", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T19:10:07.621964Z", "iopub.status.busy": "2021-08-07T19:10:07.621219Z", "iopub.status.idle": "2021-08-07T19:10:14.410409Z", "shell.execute_reply": "2021-08-07T19:10:14.409250Z" }, "papermill": { "duration": 6.821058, "end_time": "2021-08-07T19:10:14.410576", "exception": false, "start_time": "2021-08-07T19:10:07.589518", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import os\n", "import warnings\n", "import shutil\n", "warnings.filterwarnings(action='ignore')\n", "\n", "import math\n", "import pandas as pd\n", "import librosa\n", "import librosa.display\n", "import numpy as np\n", "import seaborn as sns; sns.set(style='whitegrid')\n", "import matplotlib.pyplot as plt\n", "\n", "from sklearn.utils import shuffle\n", "from PIL import Image\n", "from tqdm import tqdm,tnrange,tqdm_notebook\n", "import tensorflow as tf\n", "from tqdm.keras import TqdmCallback\n", "from keras.callbacks import ReduceLROnPlateau,EarlyStopping,ModelCheckpoint\n", "from tensorflow.keras.preprocessing.image import ImageDataGenerator \n", "from tensorflow.keras import applications as app\n", "from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten,AveragePooling2D\n", "from tensorflow.keras.layers import Dense,BatchNormalization,Dropout \n", "from tensorflow.keras.models import Sequential \n", "from tensorflow.keras.applications import EfficientNetB4, ResNet50,ResNet101, VGG16, MobileNet, InceptionV3" ] }, { "cell_type": "code", "execution_count": 2, "id": "cleared-latter", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:10:14.437429Z", "iopub.status.busy": "2021-08-07T19:10:14.436623Z", "iopub.status.idle": "2021-08-07T19:10:14.439374Z", "shell.execute_reply": "2021-08-07T19:10:14.438881Z" }, "papermill": { "duration": 0.018144, "end_time": "2021-08-07T19:10:14.439488", "exception": false, "start_time": "2021-08-07T19:10:14.421344", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Global Coefficients that can be modified\n", "class coefs:\n", " \n", " # Generate Subset\n", " rat_id = 4 # rating subset limiter \n", " recs = 200 # each specie must have X recodings\n", " max_files = 1500 # general last limit for rows\n", " thresh = 0.25 # label probability selection threshold\n", " submission = True # For Submission Only (Less Inference Output)\n", " \n", " # Global vars\n", " seed = 1337\n", " sr = 32000 # librosa sample rate input\n", " sl = 5 # seconds \n", " sshape = (48,128) # height x width\n", " fmin = 500 # spectrum min frequency\n", " fmax = 12500 # spectrum max frequency\n", " n_epoch = 100 # training epochs\n", " cutoff = 15 # 3 sample spectogram (training) overwritten for inference\n", "\n", "path_switch = False\n", "\n", "# Helper Functions Stored Below" ] }, { "cell_type": "code", "execution_count": 3, "id": "contrary-basketball", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T19:10:14.480877Z", "iopub.status.busy": "2021-08-07T19:10:14.479094Z", "iopub.status.idle": "2021-08-07T19:10:14.481463Z", "shell.execute_reply": "2021-08-07T19:10:14.481897Z" }, "papermill": { "duration": 0.032369, "end_time": "2021-08-07T19:10:14.482026", "exception": false, "start_time": "2021-08-07T19:10:14.449657", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Plot Keras Training History\n", "def HistPlot():\n", "\n", " fig,ax = plt.subplots(1,2,figsize=(12,4))\n", " sns.despine(top=True,left=True,bottom=True)\n", "\n", " ax[0].plot(history.history['accuracy'])\n", " ax[0].plot(history.history['val_accuracy'])\n", " ax[0].set_title('model accuracy')\n", " ax[0].set_ylabel('accuracy')\n", " ax[0].set_xlabel('epoch')\n", " ax[0].grid(True,linestyle='--',alpha=0.5)\n", " \n", " ax[1].plot(history.history['loss'])\n", " ax[1].plot(history.history['val_loss'])\n", " ax[1].set_title('model loss')\n", " ax[1].set_ylabel('loss')\n", " ax[1].set_xlabel('epoch')\n", " ax[1].legend(['train', 'test'], loc='upper left')\n", " ax[1].grid(True,linestyle='--',alpha=0.5)\n", " plt.show()\n", "\n", "# Split the Input signal into segments\n", "def split_signal(sig):\n", " sig_splits = []\n", " for i in range(0, len(sig), int(coefs.sl * coefs.sr)):\n", " split = sig[i:i + int(coefs.sl * coefs.sr)]\n", " if len(split) < int(coefs.sl * coefs.sr):\n", " break\n", " sig_splits.append(split)\n", " \n", " return sig_splits\n", "\n", "# extracts spectrograms and saves them in a working directory\n", "def get_spectrograms(filepath, primary_label, output_dir):\n", "\n", " # duration is set from global variable\n", " sig, rate = librosa.load(filepath, sr=coefs.sr, offset=None, duration=coefs.cutoff)\n", " sig_splits = split_signal(sig) # split the signal into parts\n", " \n", " # Extract mel spectrograms for each audio chunk\n", " s_cnt = 0\n", " saved_samples = []\n", " for chunk in sig_splits:\n", " \n", " hop_length = int(coefs.sl * coefs.sr / (coefs.sshape[1] - 1))\n", " mel_spec = librosa.feature.melspectrogram(y=chunk, \n", " sr=coefs.sr, \n", " n_fft=1024, \n", " hop_length=hop_length, \n", " n_mels=coefs.sshape[0], \n", " fmin=coefs.fmin, \n", " fmax=coefs.fmax)\n", " \n", " mel_spec = librosa.power_to_db(mel_spec*2, ref=np.max) \n", " \n", " # Normalize\n", " mel_spec -= mel_spec.min()\n", " mel_spec /= mel_spec.max()\n", " \n", " # Save as image file\n", " save_dir = os.path.join(output_dir, primary_label)\n", " if not os.path.exists(save_dir):\n", " os.makedirs(save_dir)\n", " save_path = os.path.join(save_dir, filepath.rsplit(os.sep, 1)[-1].rsplit('.', 1)[0] + \n", " '_' + str(s_cnt) + '.png')\n", " im = Image.fromarray(mel_spec 255.0).convert(\"L\")\n", " im.save(save_path)\n", " \n", " saved_samples.append(save_path)\n", " s_cnt += 1\n", " \n", " return saved_samples\n", "\n", "# https://stackoverflow.com/questions/1524126/how-to-print-a-list-more-nicely\n", "def list_columns(obj, cols=4, columnwise=True, gap=4):\n", " sobj = [str(item) for item in obj]\n", " if cols > len(sobj): cols = len(sobj)\n", " max_len = max([len(item) for item in sobj])\n", " if columnwise: cols = int(math.ceil(float(len(sobj)) / float(cols)))\n", " plist = [sobj[i: i+cols] for i in range(0, len(sobj), cols)]\n", " if columnwise:\n", " if not len(plist[-1]) == cols:\n", " plist[-1].extend([''](len(sobj) - len(plist[-1])))\n", " plist = zip(plist)\n", " printer = '\\n'.join([\n", " ''.join([c.ljust(max_len + gap) for c in p])\n", " for p in plist])\n", " print (printer)" ] }, { "cell_type": "markdown", "id": "suspended-stick", "metadata": { "papermill": { "duration": 0.009886, "end_time": "2021-08-07T19:10:14.501968", "exception": false, "start_time": "2021-08-07T19:10:14.492082", "status": "completed" }, "tags": [] }, "source": [ "# KERAS BASED MODEL GENERATION\n", "\n", "<b>Notebook Aim & Modifications</b>\n", "\n", "- The aim of this notebook is to slightly expand on the already very useful notebook posted by the host; [notebook](https://www.kaggle.com/stefankahl/birdclef2021-model-training).\n", "- That notebook contains a <b>single layer model approach</b>, which as it turns out cannot be used with more <b>sophisticated pretrained models</b>, I regrouped a few things and overall there doesn't seem to be a big difference between the two approaches when it comes to training.\n", "\n", "<b>Dataloaders & Augmentation</b>\n", "\n", "- <b>Dataloaders</b> are used here (as opposed to the additional step of reloading the into a numpy array) in order for one to use <b>image augmentations</b>, which help improve the model during training. The winning entry of the previous competition hosted by the same lab used <b>noise</b>, as an example.\n", "- An example notebook which shows the <b>benefit of image augmentation</b> can be seen here; [Hummingbird Classification with CNN](https://www.kaggle.com/shtrausslearning/hummingbird-classification-with-cnn). If you are interested in <b>birds & their classification</b>, which I assumed a lot of you are, consider taking out the [Hummingbird Dataset](https://www.kaggle.com/akimball002/hummingbirds-at-my-feeders) dataset for a spin by [Amanda K Kimball](https://www.kaggle.com/akimball002/cnn-hummingbird-speciesgender-image-classification) and liking her work. Accurate bird classification most definitely requires the addition of video for accurate classification and not just sound, which is why I brought the above example up.\n", "\n", "<b>By Not Means Complete</b>\n", "\n", "- The notebook, like the one posted by the host, is by no means complete, <b>subsets are created via parameter selection</b> (rating filter,recording number per specie,general limiter)\n", "- They barely are even able to correctly select the correct species present in the <b>training soundscapes</b> to begin with (as you will see in the soundscape), not even having done any training, \n", "- It's likey this is a critical step, not just this competition, but for bird classification in general. Some ideas have already been put forward in this notebook, [At the right place in the right time?](https://www.kaggle.com/aramacus/at-the-right-place-in-the-right-time)\n", "\n", "# <sub>1.</sub> <span style='color:#F7765E'><sub>SUBSET GENERATION</sub></span>\n", "- As per host's notebook, a simple subset selection of potetial birds that will be present in the <b>soundscape</b> are chosen;\n", " - <b>rating limitation</b>; only high quality recordings (as per Xeno Laws) are used.\n", " - <b>recording per specie limitation</b>; recordings with appropriate ammount of recordings in the dataset.\n", " - <b>overall limiter of rows</b>; general final limiter.\n", " \n", " \n", "- Having limited the dataset, <b>spectograms</b> are generated, these arrays are exported via images and reinported via dataloader during training.\n", "- <b>subset</b> is used to define which folders dataloader is the <b>training data</b> & the <b>validation data</b> using the <b>flow_from_directory</b> function/method.\n", "- One slight concern I have with this approach of splitting the general non (train/vald) sorted folder data via <b>identical seed</b> & <b>validation_split</b> specification in the <b>ImageDataGenerator</b> input is the potenial occurence of image leakage." ] }, { "cell_type": "code", "execution_count": 4, "id": "clinical-italian", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T19:10:14.532660Z", "iopub.status.busy": "2021-08-07T19:10:14.532108Z", "iopub.status.idle": "2021-08-07T19:10:15.002534Z", "shell.execute_reply": "2021-08-07T19:10:15.002100Z" }, "papermill": { "duration": 0.490377, "end_time": "2021-08-07T19:10:15.002693", "exception": false, "start_time": "2021-08-07T19:10:14.512316", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "STEP 1) CREATING A SUBSET OF DATASET:\n", "\n", "[DATASET]: (62874, 14) : LABELS 397\n", "\n", "RATING LIMITER APPLIED:\n", "[SUBSET]: (38226, 14) : LABELS 397\n", "\n", " 200+ RECORDINGS ONLY BIRDS LIMITED:\n", "[SUBSET]: (8548, 14) : LABELS 27\n", "\n", " BIRD LABELS AVAILABLE AFTER FILTER:\n", "amerob comrav mallar3 rucspa1 \n", "barswa comyel norcar sonspa \n", "bewwre eursta normoc spotow \n", "blujay gbwwre1 redcro wbwwre1 \n", "bncfly grekis rewbla wesmea \n", "carwre houspa roahaw yeofly1 \n", "compau houwre rubpep1 \n", "\n", "LIMITING AUDIO FILES ...\n", "[SUBSET]: (1500, 14) : LABELS 27\n" ] } ], "source": [ "''' CREATE A SUBSET OF THE DATA '''\n", "print('STEP 1) CREATING A SUBSET OF DATASET:\\n')\n", "\n", "if(path_switch):\n", " lpath = '.\\\\train_metadata.csv'\n", "else:\n", " lpath = '../input/birdclef-2021/train_metadata.csv'\n", "train = pd.read_csv(lpath)\n", "print(f\"[DATASET]: {train.values.shape} : LABELS {len(train.primary_label.value_counts())}\")\n", "\n", "# subset filter 1 (rating)\n", "temp_str = 'rating>='+str(coefs.rat_id)\n", "train = train.query(temp_str)\n", "print('\\nRATING LIMITER APPLIED:')\n", "print(f'[SUBSET]: {train.values.shape} : LABELS {len(train.primary_label.value_counts())}')\n", "\n", "# subset filter 2 (number of recordings per specie)\n", "birds_count = {};\n", "a = train.primary_label.unique() \n", "a_val = train.groupby('primary_label')['primary_label'].count().values\n", "for bird_species, count in zip(a,a_val):\n", " birds_count[bird_species] = count\n", "to_model_spec = [key for key,value in birds_count.items() if value >= coefs.recs] \n", "\n", "print(f'\\n {coefs.recs}+ RECORDINGS ONLY BIRDS LIMITED:')\n", "TRAIN = train.query('primary_label in @to_model_spec')\n", "LABELS = sorted(TRAIN.primary_label.unique())\n", "print(f'[SUBSET]: {TRAIN.values.shape} : LABELS {len(LABELS)}')\n", "\n", "print('\\n BIRD LABELS AVAILABLE AFTER FILTER:')\n", "list_columns(to_model_spec, cols=4, columnwise=True, gap=4)\n", "\n", "# subset filter 3 (max audio files)\n", "\n", "# Shuffle the training data and limit the number of audio files to max_files\n", "print('\\nLIMITING AUDIO FILES ...')\n", "TRAIN = shuffle(TRAIN, random_state=coefs.seed)[:coefs.max_files]\n", "LABELS = sorted(TRAIN.primary_label.unique())\n", "print(f'[SUBSET]: {TRAIN.values.shape} : LABELS {len(LABELS)}')" ] }, { "cell_type": "code", "execution_count": 5, "id": "purple-sympathy", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:10:15.054732Z", "iopub.status.busy": "2021-08-07T19:10:15.031637Z", "iopub.status.idle": "2021-08-07T19:12:09.163577Z", "shell.execute_reply": "2021-08-07T19:12:09.164685Z" }, "papermill": { "duration": 114.150415, "end_time": "2021-08-07T19:12:09.164923", "exception": false, "start_time": "2021-08-07T19:10:15.014508", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0fb829e65e8a455b926cf34a928cb56d", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%\| \| 0/1500 [00:00<?, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "SUCCESSFULLY EXTRACTED 4157 SPECTROGRAMS\n" ] } ], "source": [ "''' CREATE & OUTPUT SPECTOGRAMS FOR TRAINING'''\n", "# we will use CNN approach \n", "\n", "# Parse audio files and extract training samples\n", "if(path_switch):\n", " input_dir = '.\\\\train_short_audio\\\\'\n", " output_dir = '.\\\\working\\\\melspectrogram_dataset\\\\'\n", "else:\n", " input_dir = '../input/birdclef-2021/train_short_audio/'\n", " output_dir = './/working/melspectrogram_dataset/'\n", "\n", "samples = []\n", "with tqdm_notebook(total=len(TRAIN)) as pbar:\n", " for idx, row in TRAIN.iterrows():\n", " pbar.update(1)\n", " \n", " if row.primary_label in to_model_spec:\n", " audio_file_path = os.path.join(input_dir, row.primary_label, row.filename)\n", " samples += get_spectrograms(audio_file_path, row.primary_label, output_dir)\n", " \n", "TRAIN_SPECS = shuffle(samples, random_state=coefs.seed)\n", "print('SUCCESSFULLY EXTRACTED {} SPECTROGRAMS'.format(len(TRAIN_SPECS)))" ] }, { "cell_type": "code", "execution_count": 6, "id": "metric-fishing", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:09.217917Z", "iopub.status.busy": "2021-08-07T19:12:09.217099Z", "iopub.status.idle": "2021-08-07T19:12:09.533034Z", "shell.execute_reply": "2021-08-07T19:12:09.532559Z" }, "papermill": { "duration": 0.34631, "end_time": "2021-08-07T19:12:09.533149", "exception": false, "start_time": "2021-08-07T19:12:09.186839", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found 3335 images belonging to 27 classes.\n", "Found 822 images belonging to 27 classes.\n" ] } ], "source": [ "''' DATALOADERS '''\n", "# Create Data Generators/Loader for Keras, images not to be deleted\n", "\n", "train_folder = './working/melspectrogram_dataset/'\n", "valid_datagen = ImageDataGenerator(rescale=1./255, validation_split=0.2)\n", "train_datagen = ImageDataGenerator(rescale=1./255, validation_split=0.2,\\\n", " shear_range=10,fill_mode='nearest')\n", "\n", "train_generator = train_datagen.flow_from_directory(train_folder, \n", " target_size=(coefs.sshape[0],coefs.sshape[1]), # target size\n", " batch_size=32, \n", " seed=42,\n", " subset = \"training\",\n", " class_mode='categorical') # batch size\n", "validation_generator = valid_datagen.flow_from_directory(train_folder, \n", " target_size=(coefs.sshape[0],coefs.sshape[1]), # target size\n", " batch_size=32, \n", " seed=42,\n", " subset = \"validation\",\n", " class_mode='categorical') # batch size" ] }, { "cell_type": "markdown", "id": "diagnostic-orbit", "metadata": { "papermill": { "duration": 0.011715, "end_time": "2021-08-07T19:12:09.557496", "exception": false, "start_time": "2021-08-07T19:12:09.545781", "status": "completed" }, "tags": [] }, "source": [ "# <sub>2.</sub> <span style='color:#F7765E'><sub>MODEL GENERATION</sub></span>\n", "\n", "<b>Base Model</b>\n", "\n", "- The same model is used from [notebook](https://www.kaggle.com/stefankahl/birdclef2021-model-training), with the exception of a three layer <b>input shape (X,X,3)</b>\n", "\n", "<b>Pretrained Models</b>\n", "\n", "- Pretrained Models all require 3 layer inputs, in the input shape.\n", "- Pretrained Models are also provided in the function, <code>pretrained_model</code>, which requires one to specify which <b>head model</b> is chosen. \n", "- The <b>tail end</b> Dense Layer is also fixed, by no means optimal and adjusted to be used for classification in this problem.\n", "- <b>head weight coefficients</b> are often fixed to prevent overfitting, the same is done here.\n", "\n", "<b>The Rest</b>\n", "\n", "- Compilation settings, <b>optimiser</b>, <b>loss function</b> & <b>evaluation metric</b> are all identical to the previous notebook.\n", "- <b>Callbacks</b> are all quite standard, <b>TqdmCallback</b> is used to reduce keras training output.\n", "- <b>Train & Validation Generators</b> are used for training and evaluation during training, defined earlier.\n", "- <b>Results</b> of the <b>evaluation metric (accuracy)</b> & <b>model loss</b> are plotted for each iteration of image dataset passes (epoch)." ] }, { "cell_type": "code", "execution_count": 7, "id": "understanding-corps", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:09.590306Z", "iopub.status.busy": "2021-08-07T19:12:09.589793Z", "iopub.status.idle": "2021-08-07T19:12:12.130349Z", "shell.execute_reply": "2021-08-07T19:12:12.129364Z" }, "papermill": { "duration": 2.56112, "end_time": "2021-08-07T19:12:12.130481", "exception": false, "start_time": "2021-08-07T19:12:09.569361", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "tf.random.set_seed(coefs.seed)\n", "model = tf.keras.Sequential([\n", " \n", " # First conv block\n", " tf.keras.layers.Conv2D(16, (3, 3), activation='relu', \n", " input_shape=(coefs.sshape[0], coefs.sshape[1],3)),\n", " tf.keras.layers.BatchNormalization(),\n", " tf.keras.layers.MaxPooling2D((2, 2)),\n", " \n", " # Second conv block\n", " tf.keras.layers.Conv2D(32, (3, 3), activation='relu'),\n", " tf.keras.layers.BatchNormalization(),\n", " tf.keras.layers.MaxPooling2D((2, 2)), \n", " \n", " # Third conv block\n", " tf.keras.layers.Conv2D(64, (3, 3), activation='relu'),\n", " tf.keras.layers.BatchNormalization(),\n", " tf.keras.layers.MaxPooling2D((2, 2)), \n", " \n", " # Fourth conv block\n", " tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),\n", " tf.keras.layers.BatchNormalization(),\n", " tf.keras.layers.MaxPooling2D((2, 2)),\n", " \n", " # Global pooling instead of flatten()\n", " tf.keras.layers.GlobalAveragePooling2D(), \n", " \n", " # Dense block\n", " tf.keras.layers.Dense(256, activation='relu'), \n", " tf.keras.layers.Dropout(0.5), \n", " tf.keras.layers.Dense(256, activation='relu'), \n", " tf.keras.layers.Dropout(0.5),\n", " \n", " # Classification layer\n", " tf.keras.layers.Dense(len(LABELS), activation='softmax')\n", "])" ] }, { "cell_type": "code", "execution_count": 8, "id": "architectural-minneapolis", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:12.168255Z", "iopub.status.busy": "2021-08-07T19:12:12.166883Z", "iopub.status.idle": "2021-08-07T19:12:12.169370Z", "shell.execute_reply": "2021-08-07T19:12:12.169795Z" }, "papermill": { "duration": 0.026915, "end_time": "2021-08-07T19:12:12.169922", "exception": false, "start_time": "2021-08-07T19:12:12.143007", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "tf.random.set_seed(coefs.seed)\n", "def pretrained_model(head_id):\n", "\n", " # Define model with different applications\n", " model = Sequential()\n", "\n", " ''' Define Head Pretrained Models '''\n", "\n", " if(head_id is 'vgg'):\n", " model.add(VGG16(input_shape=(coefs.sshape[0],coefs.sshape[1],3),\n", " pooling='avg',\n", " classes=1000,\n", " include_top=False,\n", " weights='imagenet'))\n", "\n", " elif(head_id is 'resnet'):\n", " model.add(ResNet101(include_top=False,\n", " input_tensor=None,\n", " input_shape=(coefs.sshape[0],coefs.sshape[1],3),\n", " pooling='avg',\n", " classes=100,\n", " weights='imagenet'))\n", "\n", " elif(head_id is 'mobilenet'):\n", " model.add(MobileNet(alpha=1.0,\n", " depth_multiplier=1,\n", " dropout=0.001,\n", " include_top=False,\n", " weights=\"imagenet\",\n", " input_tensor=None,\n", " input_shape = (coefs.sshape[0],coefs.sshape[1],3),\n", " pooling=None,\n", " classes=1000))\n", "\n", " elif(head_id is 'inception'):\n", " # 75x75\n", " model.add(InceptionV3(input_shape = (coefs.sshape[0],coefs.sshape[1],3), \n", " include_top = False, \n", " weights = 'imagenet'))\n", "\n", " elif(head_id is 'efficientnet'):\n", " model.add(EfficientNetB4(input_shape = (coefs.sshape[0],coefs.sshape[1],3), \n", " include_top = False, \n", " weights = 'imagenet'))\n", "\n", " ''' Tail Model Part '''\n", " model.add(Flatten())\n", " model.add(Dense(1024,activation='relu'))\n", " model.add(Dropout(0.01))\n", " model.add(Dense(len(LABELS),activation='softmax'))\n", "\n", " # # freeze main model coefficients\n", " model.layers[0].trainable = False\n", " model.summary()\n", "\n", " return model\n", "\n", "# Select & Comment out above cell if used\n", "# model = pretrained_model('resnet') # define the model\n", "# model = tf.keras.models.load_model('../input/birdclef-resnet101-1/best_model.h5') # Reload your model " ] }, { "cell_type": "code", "execution_count": 9, "id": "romantic-engagement", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:12.202471Z", "iopub.status.busy": "2021-08-07T19:12:12.201858Z", "iopub.status.idle": "2021-08-07T19:12:12.254895Z", "shell.execute_reply": "2021-08-07T19:12:12.254197Z" }, "papermill": { "duration": 0.072155, "end_time": "2021-08-07T19:12:12.255034", "exception": false, "start_time": "2021-08-07T19:12:12.182879", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "32b286b1c7004a5d89ffcb515e0a011f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0epoch [00:00, ?epoch/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "conv2d (Conv2D) (None, 46, 126, 16) 448 \n", "_________________________________________________________________\n", "batch_normalization (BatchNo (None, 46, 126, 16) 64 \n", "_________________________________________________________________\n", "max_pooling2d (MaxPooling2D) (None, 23, 63, 16) 0 \n", "_________________________________________________________________\n", "conv2d_1 (Conv2D) (None, 21, 61, 32) 4640 \n", "_________________________________________________________________\n", "batch_normalization_1 (Batch (None, 21, 61, 32) 128 \n", "_________________________________________________________________\n", "max_pooling2d_1 (MaxPooling2 (None, 10, 30, 32) 0 \n", "_________________________________________________________________\n", "conv2d_2 (Conv2D) (None, 8, 28, 64) 18496 \n", "_________________________________________________________________\n", "batch_normalization_2 (Batch (None, 8, 28, 64) 256 \n", "_________________________________________________________________\n", "max_pooling2d_2 (MaxPooling2 (None, 4, 14, 64) 0 \n", "_________________________________________________________________\n", "conv2d_3 (Conv2D) (None, 2, 12, 128) 73856 \n", "_________________________________________________________________\n", "batch_normalization_3 (Batch (None, 2, 12, 128) 512 \n", "_________________________________________________________________\n", "max_pooling2d_3 (MaxPooling2 (None, 1, 6, 128) 0 \n", "_________________________________________________________________\n", "global_average_pooling2d (Gl (None, 128) 0 \n", "_________________________________________________________________\n", "dense (Dense) (None, 256) 33024 \n", "_________________________________________________________________\n", "dropout (Dropout) (None, 256) 0 \n", "_________________________________________________________________\n", "dense_1 (Dense) (None, 256) 65792 \n", "_________________________________________________________________\n", "dropout_1 (Dropout) (None, 256) 0 \n", "_________________________________________________________________\n", "dense_2 (Dense) (None, 27) 6939 \n", "=================================================================\n", "Total params: 204,155\n", "Trainable params: 203,675\n", "Non-trainable params: 480\n", "_________________________________________________________________\n" ] } ], "source": [ "# Compile the model and specify optimizer, loss and metric\n", "model.compile(optimizer=tf.keras.optimizers.Adam(lr=0.001),\n", " loss=tf.keras.losses.CategoricalCrossentropy(label_smoothing=0.01),\n", " metrics=['accuracy'])\n", "\n", "# Add callbacks to reduce the learning rate if needed, early stopping, and checkpoint saving\n", "callbacks = [ReduceLROnPlateau(monitor='val_loss',patience=50,verbose=1,factor=0.5),\n", " EarlyStopping(monitor='val_loss',verbose=1,patience=5),\n", " ModelCheckpoint(filepath='best_model.h5',monitor='val_loss',verbose=0,save_best_only=True),\n", " TqdmCallback(verbose=0)\n", " ]\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 10, "id": "textile-element", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:12.286421Z", "iopub.status.busy": "2021-08-07T19:12:12.285874Z", "iopub.status.idle": "2021-08-07T19:14:43.568901Z", "shell.execute_reply": "2021-08-07T19:14:43.569347Z" }, "papermill": { "duration": 151.300429, "end_time": "2021-08-07T19:14:43.569512", "exception": false, "start_time": "2021-08-07T19:12:12.269083", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 00023: early stopping\n" ] } ], "source": [ "history = model.fit(train_generator,\n", " validation_data = validation_generator,\n", " verbose = 0,\n", " callbacks=callbacks,\n", " epochs=coefs.n_epoch)" ] }, { "cell_type": "code", "execution_count": 11, "id": "unlimited-account", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:14:43.606083Z", "iopub.status.busy": "2021-08-07T19:14:43.605215Z", "iopub.status.idle": "2021-08-07T19:14:43.938611Z", "shell.execute_reply": "2021-08-07T19:14:43.939023Z" }, "papermill": { "duration": 0.354409, "end_time": "2021-08-07T19:14:43.939160", "exception": false, "start_time": "2021-08-07T19:14:43.584751", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 864x288 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot Training \n", "HistPlot() # plot accuracy metric & loss function" ] }, { "cell_type": "code", "execution_count": 12, "id": "maritime-accent", "metadata": { "_kg_hide-input": true, "execution": { "iopub.execute_input": "2021-08-07T19:14:43.979133Z", "iopub.status.busy": "2021-08-07T19:14:43.977446Z", "iopub.status.idle": "2021-08-07T19:14:43.979762Z", "shell.execute_reply": "2021-08-07T19:14:43.980157Z" }, "papermill": { "duration": 0.024937, "end_time": "2021-08-07T19:14:43.980273", "exception": false, "start_time": "2021-08-07T19:14:43.955336", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "''' I. HELPER FUNCTIONS'''\n", "# Define Path for Training & Test Soundscape Data\n", "# If competition reruns notebook, test data folder will be loaded\n", "\n", "# Print Available Soundscape Files\n", "def print_available(verbose = False):\n", " \n", " def list_files(path):\n", " return [os.path.join(path, f) for f in os.listdir(path) if f.rsplit('.', 1)[-1] in ['ogg']]\n", " test_audio = list_files('../input/birdclef-2021/test_soundscapes')\n", " if len(test_audio) == 0:\n", " test_audio = list_files('../input/birdclef-2021/train_soundscapes')\n", "\n", " if(verbose):\n", " print('AVAILABLE SOUNDSCAPES:')\n", " print('{} FILES IN TEST SET.'.format(len(test_audio)))\n", " print('')\n", " \n", " ii=-1\n", " for i in test_audio:\n", " ii+=1\n", " print(ii,i)\n", " \n", " return test_audio\n", "\n", "# Get the labels that will be used to train the model\n", "def print_label_species():\n", " list_columns(to_model_spec, cols=4, columnwise=True, gap=2)" ] }, { "cell_type": "markdown", "id": "uniform-cartoon", "metadata": { "papermill": { "duration": 0.017054, "end_time": "2021-08-07T19:14:44.013022", "exception": false, "start_time": "2021-08-07T19:14:43.995968", "status": "completed" }, "tags": [] }, "source": [ "# <sub>3.</sub> <span style='color:#F7765E'><sub>SOUNDSCAPE INFERENCE (TRAIN/TEST)</sub></span>\n", "- <b>Function <code>soundscape_records</code> requires:</b>\n", " - pathway to <b>soundscape</b> file.\n", " - model to be used for <b>evaluation (predict)</b>\n", " - submission option allows one to quickly switch from <b>soundscape investigations/confirmations</b> to <b>submission format</b>\n", " \n", " \n", "- <b>The function does the following:</b>\n", " - Firstly, clears common/temporary <code>mel_soundscape</code> folder used for <b>spectogram</b> export for each individual soundscape file.\n", " - Reads soundscape audio using librosa & temporary store 600 segment spectrums in folder (each image is a 5 second segment); <code>mel_soundscape</code>.\n", " - Keras <b>Dataloader/Data Generator is created</b> for the \"test\" set of 600 spectrum segments.\n", " - <b>Inference is conducted</b>, using <b>imported model</b> using \"test\" data generator (w/ standard augmentation), <b>results (probability)</b> are stored in a common array and extracted individually. \n", " - For each segment, if a probability exceeds <b>a threshold</b>, the label corresponding to that probability is stored in dictionary, <b>data</b>. If none of the probabilites exceeds this threshold, a no bird call result is stored <b>nocall</b>.\n", " - Individual soundscape results are stored in local DataFrame and passed via return, the results for all possible soundscape files are then stored in a unified DataFrame <b>(df_allres)</b>, which is used for submission.\n", " \n", " \n", "- <b>Unified submission option (submission=False)</b>:\n", " - <b>False</b> is used for different training soundscape investigations, eg. comparison of birds correctly predicted / all available birds ..., \n", " - <b>True</b> option is used for creating a submission..." ] }, { "cell_type": "code", "execution_count": 13, "id": "divine-plane", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:14:44.067527Z", "iopub.status.busy": "2021-08-07T19:14:44.066957Z", "iopub.status.idle": "2021-08-07T19:15:21.602767Z", "shell.execute_reply": "2021-08-07T19:15:21.602263Z" }, "papermill": { "duration": 37.572209, "end_time": "2021-08-07T19:15:21.603020", "exception": false, "start_time": "2021-08-07T19:14:44.030811", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "* READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/20152_SSW_20170805.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 21ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/57610_COR_20190904.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 15ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/7843_SSW_20170325.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 14ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/42907_SSW_20170708.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 14ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/7019_COR_20190904.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 14ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/54955_SSW_20170617.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 15ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/10534_SSW_20170429.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 14ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/2782_SSW_20170701.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/11254_COR_20190904.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 15ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/7954_COR_20190923.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 15ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/26746_COR_20191004.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/18003_COR_20190904.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/31928_COR_20191004.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/51010_SSW_20170513.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/21767_COR_20190904.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/14473_SSW_20170701.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/44957_COR_20190923.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/50878_COR_20191004.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/28933_SSW_20170408.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 14ms/step\n", " READING NEW FILE & STARTING PREDICTION... \n", "Reading File: ../input/birdclef-2021/train_soundscapes/26709_SSW_20170701.ogg\n", "Found 120 images belonging to 1 classes.\n", "4/4 [==============================] - 0s 13ms/step\n" ] }, { "data": { "text/plain": [ "['mel_soundscape']" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.set_option('display.max_rows', None)\n", "# Function to evaluate inference on given recording\n", "def soundscape_records(path,model,submission=False):\n", " \n", " # before prediction clear read folder if it exists\n", " if(os.path.exists('.//working/mel_soundscape/')):\n", " shutil.rmtree('.//working/mel_soundscape/')\n", "# os.listdir('.//working//')\n", "\n", " # General Output / Submission DataFrame Structure \n", " if(submission is False):\n", " data = {'row_id': [], 'prediction': [], 'score': []}\n", " else:\n", " data = {'row_id': [], 'birds': []}\n", " \n", " print(' READING NEW FILE & STARTING PREDICTION... ')\n", " print(f'Reading File: {path}')\n", " \n", " ''' 1. CREATE SOUNDSCAPE FILES AND SAVE THEM '''\n", " # for each spectogram input, call get_spectogram, which cuts the entire\n", " # soundscape into chunks of 5 seconds\n", " \n", " coefs.cutoff = 600 # change to get all 5s segments in soundscape; should make 120 files\n", " get_spectrograms(path,'soundscape','.//working/mel_soundscape/')\n", "# print(len(os.listdir('.//working/mel_soundscape/soundscape'))) # should be 120\n", " \n", " ''' 2. LOAD IMAGE FILES & DATALOADER '''\n", " # soundscape recording folder\n", " soundscape_folder = './/working/mel_soundscape/' \n", " # image augmentation & generate dataloader\n", " gen_datagen = ImageDataGenerator(rescale=1./255)\n", " gen_test = gen_datagen.flow_from_directory(soundscape_folder,\n", " target_size=(coefs.sshape[0],coefs.sshape[1]),\n", " batch_size=32,\n", " class_mode='categorical')\n", " \n", " ''' 3. MAKE MODEL PREDICTION '''\n", " # for each class predict probability for all images simulaneously\n", " scores = model.predict(gen_test, verbose=1)\n", " \n", " # For each soundcape -> create X chunks + predict each \n", " \n", " time_id=0\n", " for i in range(len(scores)):\n", " \n", " time_id+=5 # update segment time interval \n", " idx = scores[i].argmax() # possibly not best choice\n", " species = LABELS[idx]\n", " score = scores[i][idx]\n", " \n", " data['row_id'].append(path.split(os.sep)[-1].rsplit('_', 1)[0] + '_' + str(time_id))\n", " \n", " ''' DECIDE IF PREDICTION PROBABILITY SHOULD EXCEED THRESHOLD '''\n", " if score > coefs.thresh:\n", " if(submission is False):\n", " data['prediction'].append(species)\n", " else:\n", " data['birds'].append(species)\n", " else:\n", " if(submission is False):\n", " data['prediction'].append('nocall')\n", " else:\n", " data['birds'].append('nocall')\n", " \n", " # store score\n", " if(submission is False):\n", " data['score'].append(score) # Add the confidence score as well\n", " \n", " # COMBINE & SHOW RESULTS\n", " if(submission is False):\n", " results = pd.DataFrame(data, columns = ['row_id', 'prediction', 'score'])\n", " else:\n", " results = pd.DataFrame(data, columns = ['row_id', 'birds'])\n", " \n", " if(submission is False):\n", " gt = pd.read_csv('../input/birdclef-2021/train_soundscape_labels.csv')\n", " results = pd.merge(gt, results, on='row_id') # merge only at available rows\n", " results['outcome'] = results.birds == results.prediction\n", " intersection_set = list(set(LABELS) & set(results.birds.to_list()))\n", "\n", " print('1A. Before Prediction:')\n", " list_columns(LABELS, cols=8, columnwise=True, gap=4)\n", " print('1B. Birds Present')\n", " list_columns(results.birds.unique())\n", " print(f'bird overlap: {len(intersection_set)}/{len(results.birds.unique())} are even present')\n", "\n", " print('\\n 2. All Predictions:')\n", " print(results.outcome.value_counts())\n", " print('')\n", "\n", " print('3. Bird Predictions Only:')\n", " df_bird = results[results.birds!='nocall']\n", " print(df_bird.outcome.value_counts())\n", " print('\\n\\n')\n", " return 0\n", " else:\n", " return results # return one soundscape inference\n", " \n", "''' MAIN INFERENCE OPTIONS '''\n", "# Use model to evaluate on soundscape segments in one or many files\n", " \n", "# A. Get Pathways to Soundscapes \n", "test_audio = print_available()\n", " \n", "# B. Inference on all Soundscape, tlist stores all soundscape individual results\n", "ii=-1;tlist = []\n", "for i in test_audio:\n", "# model = tf.keras.models.load_model('best_model.h5') # load external model\n", " ii+=1;df_infer = soundscape_records(test_audio[ii],model,coefs.submission)\n", " if(coefs.submission):\n", " tlist.append(df_infer)\n", "\n", "# combine all soundscape inference results\n", "if(coefs.submission): \n", " df_allres = pd.concat(tlist)\n", " df_allres.to_csv(\"submission.csv\", index=False)\n", " \n", "# C. Inference for one soundscape\n", "# model = tf.keras.models.load_model('best_model.h5')\n", "# soundscape_records(test_audio[0],model,coefs.submission)\n", "\n", "# Remove Training Spectrums to not show them in output\n", "shutil.rmtree('.//working/melspectrogram_dataset/')\n", "os.listdir('.//working//')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.9" }, "papermill": { "default_parameters": {}, "duration": 321.769076, "end_time": "2021-08-07T19:15:24.229518", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:10:02.460442", "version": "2.3.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "050619298c7e4638a7831108f16e49db": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_46ec5ea5b1744dd6a9acefbfb90dd702", "placeholder": "", "style": "IPY_MODEL_3a58f87bf02946578fbe754a649e1522", "value": " 23%" } }, "09c83d3dcf0b4d97b06010d42663863f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "danger", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b7d3b809002048838f1adbaa00c3cde6", "max": 100.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_4953b491f1ec465493234a8a8f1ddc0b", "value": 23.0 } }, "0fb829e65e8a455b926cf34a928cb56d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_d3d6df02458042d4b757d1e41ab6c870", "IPY_MODEL_836eecc3a80f45dca928be6f0b3905a7", "IPY_MODEL_2eaf34cd91d74e7bbf73b18f2b159160" ], "layout": "IPY_MODEL_966eecbe186945e5a309b7dce908997b" } }, "0feb1a519bed4cdebd4c062af2e633e2": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1c34a7af6152482b86f27daeb1db2270": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "2eaf34cd91d74e7bbf73b18f2b159160": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_4c98f4e59c2e4ef88eb894077ae34a2b", "placeholder": "", "style": "IPY_MODEL_672d81f25e004d20beb99f5806603227", "value": " 1500/1500 [01:54<00:00, 15.27it/s]" } }, "32b286b1c7004a5d89ffcb515e0a011f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_050619298c7e4638a7831108f16e49db", "IPY_MODEL_09c83d3dcf0b4d97b06010d42663863f", "IPY_MODEL_ff9d172d54384e43ab599fa0f8dfbf8f" ], "layout": "IPY_MODEL_0feb1a519bed4cdebd4c062af2e633e2" } }, "3a58f87bf02946578fbe754a649e1522": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "4389275f553749bd8a78d82c2215296c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "46ec5ea5b1744dd6a9acefbfb90dd702": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4953b491f1ec465493234a8a8f1ddc0b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "4c98f4e59c2e4ef88eb894077ae34a2b": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "50aa84b34ed248d3a0ec4f2420f4c0af": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "672d81f25e004d20beb99f5806603227": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "75c05fd2612c46e4b52c19413ba233ca": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "836eecc3a80f45dca928be6f0b3905a7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_4389275f553749bd8a78d82c2215296c", "max": 1500.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_9df6785242e0490085a103223db657e1", "value": 1500.0 } }, "966eecbe186945e5a309b7dce908997b": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9a5cce7027014e15b577e9a80882b445": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "9df6785242e0490085a103223db657e1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "b7d3b809002048838f1adbaa00c3cde6": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d3d6df02458042d4b757d1e41ab6c870": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1c34a7af6152482b86f27daeb1db2270", "placeholder": "", "style": "IPY_MODEL_50aa84b34ed248d3a0ec4f2420f4c0af", "value": "100%" } }, "ff9d172d54384e43ab599fa0f8dfbf8f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_75c05fd2612c46e4b52c19413ba233ca", "placeholder": "", "style": "IPY_MODEL_9a5cce7027014e15b577e9a80882b445", "value": " 23/100 [02:31<07:50, 6.11s/epoch, loss=1.13, accuracy=0.693, val_loss=1.74, val_accuracy=0.572, lr=0.001]" } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }	0070/601/70601129.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.047161, "end_time": "2021-08-07T19:11:32.896112", "exception": false, "start_time": "2021-08-07T19:11:32.848951", "status": "completed" }, "tags": [] }, "source": [ "# Regression Assumptions & Logistic Regression Notebook" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.046691, "end_time": "2021-08-07T19:11:32.989897", "exception": false, "start_time": "2021-08-07T19:11:32.943206", "status": "completed" }, "tags": [] }, "source": [ "1. Outlier Detection and Removal\n", "2. Multicollinearity \n", "3. Scaling \n", "4. Logistic Regression" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.045946, "end_time": "2021-08-07T19:11:33.082469", "exception": false, "start_time": "2021-08-07T19:11:33.036523", "status": "completed" }, "tags": [] }, "source": [ "### Import the libraries you need!\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:00.073564Z", "iopub.status.busy": "2021-08-07T19:11:00.073230Z", "iopub.status.idle": "2021-08-07T19:11:01.327766Z", "shell.execute_reply": "2021-08-07T19:11:01.326770Z", "shell.execute_reply.started": "2021-08-07T19:11:00.073515Z" }, "papermill": { "duration": 1.260727, "end_time": "2021-08-07T19:11:34.388981", "exception": false, "start_time": "2021-08-07T19:11:33.128254", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns \n", "pd.set_option(\"display.max_columns\",None) \n", "pd.set_option(\"display.max_rows\",None) \n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "from IPython.display import Image\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.cluster import DBSCAN\n", "from sklearn.neighbors import LocalOutlierFactor\n", "sns.set(style=\"darkgrid\", palette=\"pastel\", color_codes=True)\n", "sns.set_context('talk')\n", "\n", "from pathlib import Path\n", "data_dir = Path('../input/images')" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.045563, "end_time": "2021-08-07T19:11:34.481039", "exception": false, "start_time": "2021-08-07T19:11:34.435476", "status": "completed" }, "tags": [] }, "source": [ "### Read the dataset" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:01.330298Z", "iopub.status.busy": "2021-08-07T19:11:01.329975Z", "iopub.status.idle": "2021-08-07T19:11:01.370664Z", "shell.execute_reply": "2021-08-07T19:11:01.369656Z", "shell.execute_reply.started": "2021-08-07T19:11:01.330243Z" }, "papermill": { "duration": 0.096592, "end_time": "2021-08-07T19:11:34.624665", "exception": false, "start_time": "2021-08-07T19:11:34.528073", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>age</th>\n", " <th>sex</th>\n", " <th>cp</th>\n", " <th>trestbps</th>\n", " <th>chol</th>\n", " <th>fbs</th>\n", " <th>restecg</th>\n", " <th>thalach</th>\n", " <th>exang</th>\n", " <th>oldpeak</th>\n", " <th>slope</th>\n", " <th>ca</th>\n", " <th>thal</th>\n", " <th>target</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>63</td>\n", " <td>1</td>\n", " <td>3</td>\n", " <td>145</td>\n", " <td>233</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>150</td>\n", " <td>0</td>\n", " <td>2.3</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>37</td>\n", " <td>1</td>\n", " <td>2</td>\n", " <td>130</td>\n", " <td>250</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>187</td>\n", " <td>0</td>\n", " <td>3.5</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>41</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>130</td>\n", " <td>204</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>172</td>\n", " <td>0</td>\n", " <td>1.4</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>56</td>\n", " <td>1</td>\n", " <td>1</td>\n", " <td>120</td>\n", " <td>236</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>178</td>\n", " <td>0</td>\n", " <td>0.8</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>57</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>120</td>\n", " <td>354</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>163</td>\n", " <td>1</td>\n", " <td>0.6</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>2</td>\n", " <td>1</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " age sex cp trestbps chol fbs restecg thalach exang oldpeak slope \\\n", "0 63 1 3 145 233 1 0 150 0 2.3 0 \n", "1 37 1 2 130 250 0 1 187 0 3.5 0 \n", "2 41 0 1 130 204 0 0 172 0 1.4 2 \n", "3 56 1 1 120 236 0 1 178 0 0.8 2 \n", "4 57 0 0 120 354 0 1 163 1 0.6 2 \n", "\n", " ca thal target \n", "0 0 1 1 \n", "1 0 2 1 \n", "2 0 2 1 \n", "3 0 2 1 \n", "4 0 2 1 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1 = pd.read_csv(\"../input/heart-disease-uci/heart.csv\")\n", "df_1.head()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.046114, "end_time": "2021-08-07T19:11:34.717679", "exception": false, "start_time": "2021-08-07T19:11:34.671565", "status": "completed" }, "tags": [] }, "source": [ "#### 1. Show the scatter plot between chol and target" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:01.372584Z", "iopub.status.busy": "2021-08-07T19:11:01.372242Z", "iopub.status.idle": "2021-08-07T19:11:01.700956Z", "shell.execute_reply": "2021-08-07T19:11:01.700147Z", "shell.execute_reply.started": "2021-08-07T19:11:01.372530Z" }, "papermill": { "duration": 0.428027, "end_time": "2021-08-07T19:11:35.193822", "exception": false, "start_time": "2021-08-07T19:11:34.765795", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fb22cd208d0>" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEZCAYAAABFFVgWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nO3de3gU9b3H8fdsQgIJMYEIoRBuuiYcHq7lKiIoBMHLkYYeBdHgafFWEosWUU5RWy2teDmhagxCj3gp2AOFJ7FcFFEstUSMxVrvhIsI6AmSYDYQQm47548lmyy7m+yGTBbYz+t59smzM7+Z+c13J/vZ2fntrmGapomIiIgFbKHugIiInL8UMiIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJimchQd+BsY5omGtQNhuH6q1o0UE18U128hVtNDAOM+p0+jULmNKYJpaXHQ92NkIuP7wCAw1EZ4p6cPVQT31QXb+FWk8TEjvjJGL1dJiIi1lHIiIiIZRQyIiJiGYWMiIhYJqQhU1xczKJFi7jpppsYOnQoqampvP/++wEvf+DAAebMmcOwYcMYOnQot99+O3v27LGwxyIiEoyQhszXX3/Nxo0biYmJYfTo0UEtW1paysyZM/nmm294/PHHyc7OxuFwcMstt1BcXGxRj0VEJBghHcI8YsQI3nvvPQDeeusttm7dGvCyL7zwAuXl5axbt46kpCQAhgwZwsSJE1m6dCmPPPKIJX0WEZHAhTRkbLaWn0i99dZbjBkzxh0wAJ06deLKK69ky5YtbRoypgmHT8CJGohpB0kx+B0z7qst+F6+vm1FDdTUQTsbxEb5X8bphI+OwPFqqDXBMCE60jW/qg6iI6B9JESdWk+X9lBUBqWVUOd03arcHx6rAsAAzFN/ow3XemtP26dIGyREQFlNwzwbEAHUAc5T97vHwMlaKKlutOyp+c5T9+vLZp5axjh1i7S5bibgNF03G66anHRCnemql3lqu+apdRpAx3YQ3w7Ka6DKCR0ioVecq8aVta76dO0A31U21LNrByiugAPHoNbpqltSRRUlFVB6wrW9SBskRLm2X1Pn2k73jlBZ57ofaXMtW/83AlcfnEBcO0jpBP7+BUzTtf3vTrjud42BbrHex9Xpx9Pp+9HUsRisYI5zK5YX61j52JyTH8Y8efIkBw4cYMqUKV7zUlNT2bBhA6WlpSQmJlreF9OEj74zKD7R8Ih0izEZ0tX0+YRwetukDq52py8/uIvJv454tm083zThcGXDvC7RJqVV4MSzfVWN64nNFwMTk6aPJPPUO6omcNLPp5drnVDi9JzWODjq7x864WNZr+15LtN4G5y2DYBKH9Mar9PEtf+Na3CyDr6v8lwmOsKkqq6hFu0Mkxqz4f6xGjji/lydqybVTvjuZKO+1MGRRvebUlIJ31aYXJFsegWNacI/Dxsej++3FdCtwvO48nU8nb4f/o7FYDV1nJ/p8gqa0LL6sTknQ8bhcGCaJvHx8V7zEhISACgrK2tRyBhGw6d1A3GwrI7iE55PlcUnDI7TjuT4iGbbNn4iabx8wokIik/4eAYFn8FzpCr4o6G5gAknjZ+YAY+AsXKbX5+IYEiPdh7TD5bVcbjy9Pj1Pq58HU+n74e/YzFYTR3nF0a61t3U/00w/yfng8gAanK2aI3HpqkwOqeHMPv7rpy2dLzK9yu5Yz6m+2vri8PfaYOcV3w9zk0dJ42Pq0CPJ1/HYrCCOc6tWF6sY/Vjc06eycTHx2MYBmVlZV7z6qfVn9EEyzSD+74hWx34ympbXQ0OR01AbX1pb9QF3FbOXe1tdV7HW1PHSePjKtDjydexGKymjvPaWtfTSFP/N8H8n5wPzqXvLmuNx+a8++6y9u3b07NnT4qKirzmFRUV0blz5za5HgOuC2TdYjwTv1uM6b4431zbpA6mz+VTOnm39Vh/B895XaJNbAT3ysMIsv35LDrCsxbtDOtrEx1hkuLjtVBSDF6PL3gfV76Op9P3w9+xGKxgjnMrlhfrWP3YnJNnMgBpaWmsWrWKI0eO0KVLF8B1FvPOO+9w7bXXtlk/DAOGdDU5fMJsdmSGv7aAz+Xr21bUQI0T2hmnjy4zvUeXlZgcr2o0uqwdxEQ2jC7rENkwSs01usx0jS4zwVnX+OK+6/WHgbPZ0WXtbBDf3OgyA3p0cI3m8je6rHHJAhpdZkCU4br43+zosig4Vu0aCeZ/dJl52ugy0z26rEMkdI2znRpd5qTOPLXfUa4Ra9V10DEKuseeGl3mhMhT9ar/G2FCea2r73FRkJLge3SZYcDQJJPiCtM9uiwpBpJOG13m63g6fT9aa5RQMMe5FcuLdax+bAzTDO0vHrzxxhsAfPLJJ/zP//wPd999N3a7nQ4dOjB+/HgAMjIyKCwsZNeuXe7lSkpKmDp1Kl27diUzM5PIyEiWLl3K/v37ycvLo3v37i3qj9Np6qv+ObdO99uKauKb6uIt3GqSmNgRm+0s/T2ZuXPnetx/9tlnAejRo0eTH8688MILWbVqFY8//jj3338/pmkybNgwVq5c2eKAERGR1hXyM5mzjc5kXMLtlVggVBPfVBdv4VaTps5kzskL/yIicm5QyIiIiGUUMiIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFhGISMiIpZRyIiIiGUUMiIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFhGISMiIpZRyIiIiGVCGjIVFRUsWrSIsWPHMmjQIKZNm8bbb78d0LKbN29mxowZjBgxghEjRjB9+nQ2bdpkcY9FRCQYIQ2ZrKws1q9fz9y5c1m2bBl2u52srCy2bdvW5HJ5eXn8/Oc/p2vXrjz11FM89dRTJCUlce+997J27do26r2IiDTHME3TDMWGt23bxh133EFOTg6TJk0CwDRNZs6cSVlZGa+//rrfZTMyMvjmm2946623sNlcOel0OklLS6NHjx788Y9/bHG/nE6T0tLjLV7+fBEf3wEAh6MyxD05e6gmvqku3sKtJomJHbHZDJ/zQnYms2XLFuLi4pg4caJ7mmEYpKens2/fPvbs2eN32cjISGJiYtwBA2Cz2YiJiSEqKsrSfouISOAiQ7Xh3bt3Y7fbPYICIDU1FYCioiLsdrvPZW+++Wbuvvtuli5dyvTp0wFYvXo1X331Fffff/8Z9cswGl6FhLPIyAhAtWhMNfFNdfEWbjUxfJ/EACEMmbKyMvr06eM1PT4+3j3fn7S0NJYuXcr8+fP5/e9/D0BMTAxPP/0048aNs6S/IiISvJCFDLjeHmvJvO3btzNv3jyuvfZaJk+eTF1dHevXr+cXv/gFzzzzDFdccUWL+2Sa4fM+alPC7T3lQKgmvqku3sKtJomJHf2ezYQsZBISEnyerTgcDqDhjOZ0pmnywAMPMHr0aB599FH39HHjxlFcXMxvfvObMwoZERFpPSG78G+329m7dy9Op9NjelFREQApKSk+lyspKeHIkSMMGDDAa96AAQM4dOgQVVVVrd9hEREJWshCZtKkSZSXl7N161aP6fn5+fTt29fvRf/4+Hiio6P5+OOPveb961//IiEhgejoaEv6LCIiwQnZ22Xjx49n1KhRLFy4kLKyMpKTk8nPz2fnzp3k5ua622VkZFBYWMiuXbsAiIqKYsaMGbz88sssXLiQyZMn43Q63cvec889odolERE5TchCxjAMcnNzyc7OZsmSJZSXl2O328nJyWHChAlNLvvAAw9w0UUXsWbNGjZv3ozNZqNPnz488cQTXH/99W20ByIi0pyQfeL/bKVP/LuE2+iYQKgmvqku3sKtJmflJ/5FROT8p5ARERHLKGRERMQyChkREbGMQkZERCyjkBEREcsoZERExDIKGRERsYxCRkRELKOQERERyyhkRETEMgoZERGxjEJGREQso5ARERHLKGRERMQyChkREbGMQkZERCyjkBEREcsoZERExDIKGRERsYxCRkRELKOQERERyyhkRETEMgoZERGxjEJGREQsE1TIzJo1i/fee8/v/B07djBr1qwz7pSIiJwfggqZwsJCSkpK/M4/evQoH3zwQcDrq6ioYNGiRYwdO5ZBgwYxbdo03n777YCWNU2T1atXM23aNAYPHszw4cO58cYb+fDDDwPevoiIWCuyNVdWXl5OVFRUwO2zsrL4/PPPue+++0hOTiYvL4+srCyef/55xo8f3+SyCxcu5M033+S2225j6NChVFZW8umnn1JZWXmmuyEiIq2k2ZD58ssv+fLLL933//GPf1BXV+fVrqysjD/96U9cfPHFAW1427ZtFBQUkJOTw6RJkwAYPXo0Bw8eZPHixU2GzObNm8nLy+PVV19l6NCh7ulXXHFFQNsWEZG20WzIvPXWW+Tk5ABgGAarV69m9erVPtvGxsaycOHCgDa8ZcsW4uLimDhxonuaYRikp6fz0EMPsWfPHux2u89lV65cyfDhwz0CRkREzj7Nhkx6ejojR47ENE1uvfVW7rzzTi677DKPNoZhEBMTg91uJzo6OqAN7969G7vdjs3meVkoNTUVgKKiIp8hU1NTw0cffcT06dPJzs5m7dq1lJWV0bdvX2677TbS09MD2r4/hgHx8R3OaB3ng8jICEC1aEw18U118RZuNTEM//OaDZkePXrQo0cPAB577DFGjBhBcnLyGXeqrKyMPn36eE2Pj493z/e3XHV1NXl5eXTr1o2HHnqICy64gLVr17JgwQJqamq48cYbz7h/IiJy5oK68N/4LKG6uprvv/+eTp06BXWxvzGjifjzN8/pdAJQVVXF8uXL3QE4ZswYDh48yHPPPXdGIWOa4HBo8ED9KzDVooFq4pvq4i3capKY2NHv2UzQH8b87LPPmDVrFj/84Q+54oor2LlzJwClpaXceuutFBQUBLSehIQEn2crDocDaDijOV18fDyGYXDRRRe5AwZcoXT55ZdTXFxMaWlpsLslIiIWCCpkvvjiC26++WYOHjzI1KlTPeYlJiZSVVVFXl5eQOuy2+3s3bvXfWZSr6ioCICUlBSfy7Vv357evXv7nGeaJtD0GZKIiLSdoELm6aefpmvXrmzYsIF58+a5n9TrjR49mo8//jigdU2aNIny8nK2bt3qMT0/P5++ffv6HVlWv+y+ffs4dOiQe5ppmvztb3+jZ8+edO7cOYi9EhERqwR1TWbnzp3ccccdxMbGUl1d7TW/e/fufPfddwGta/z48YwaNYqFCxdSVlZGcnIy+fn57Ny5k9zcXHe7jIwMCgsL2bVrl3va7NmzWb9+PbfddhtZWVnExcWxbt06PvvsM5YsWRLMLomIiIWCCpmqqiri4uL8zj9+/HjA6zIMg9zcXLKzs1myZAnl5eXY7XZycnKYMGFCk8t26tSJVatW8cQTT/DII49w8uRJUlJSeO6550hLSwu4DyIiYq2gQqZXr1589tlnfufv2LGjybe5TtexY0cefvhhHn74Yb9t/vjHP/qcnpyczDPPPBPwtkREpO0FdU3muuuu47XXXvMYQVZ/kX3FihW8++67XgMCREQkfAV1JvPTn/6U7du3M3v2bC666CIMw+Cxxx7j6NGjlJSUMGbMGGbOnGlVX0VE5BwT1JlMVFQUL774Ig888ADR0dFER0ezf/9+OnXqxPz581m2bJnX18SIiEj4MszTxyGHOafTpLQ08AEM56tw+8RyIFQT31QXb+FWk8TEjthsvj+fqNMOERGxTFDXZPLz85tt0759e7p3707//v2JjGzV30QTEZFzTFApsGDBAo+vbPH1NS6maWIYBgkJCdx77736RmQRkTAWVMi8+OKLPPXUUzgcDmbMmEHfvn0B2LdvH6tXr6ZTp07ceeedHDhwgFWrVvGrX/2K+Ph4Jk+ebEnnRUTk7Bb018pUV1ezfv16OnRo+DGeiRMnMnPmTGbMmEFRURFz5sxh+vTpTJ06lRdffFEhIyISpoK68L9u3TrS09M9AqZebGws6enprF271n3/Rz/6kftblUVEJPwEFTKlpaXU1dX5nV9bW0tJSYn7fteuXZtsLyIi57egQqZPnz6sXbvW5xdhHjt2jHXr1rmv0wAcOnSIxMTEM++liIick4K6JpOZmck999zDlClTmDZtGn369AHgq6++Ii8vj9LSUvdX7TudTjZu3MjQoUNbvdMiInJuCPoT/5s2beKxxx7jyJEjHtO7dOnCAw88wHXXXQdATU0NBw8epHPnziQkJLRejy2mT/y7hNsnlgOhmvimungLt5o09Yn/Fn2tTF1dHZ999hmHDh3CNE2Sk5MZMGAAERERZ9zZUFPIuITbP0kgVBPfVBdv4VaTpkIm4LfLTpw4wYoVKxg8eDCXX345gwYNYtCgQa3WSREROf8EfOE/JiaGZcuWUVxcbGV/RETkPBLU6LJevXp5XYsRERHxJ6iQmTlzJn/+85/5/vvvreqPiIicR4IawhwbG0t8fDxTpkwhPT2d3r17+/z0/49+9KNW66CIiJy7ghpd1q9fv+ZXaBh88cUXZ9SpUNLoMpdwGx0TCNXEN9XFW7jVpFVGlwG88sorrdIhEREJD0GFzMiRI63qh4iInIf088siImKZFv0+8ieffMLHH3+Mw+HA6XR6zDMMg8zMzFbpnIiInNuCCpmTJ0+SlZXF9u3b3T+z3PgnmOunBRoyFRUVLFmyhDfeeIPy8nLsdjuZmZlMnDgx4D6Zpsmtt97K+++/z6xZs1i4cGEwuyQiIhYK6u2y5557ju3bt3PXXXfxyiuvYJomixcv5g9/+APDhw9n4MCBbNy4MeD1ZWVlsX79eubOncuyZcuw2+1kZWWxbdu2gNexZs0a9u3bF8xuiIhIGwkqZDZv3syUKVOYO3cul1xyCQBJSUlcfvnlvPjii9TU1JCXlxfQurZt20ZBQQGLFi3ihhtu4NJLL+Xxxx9nyJAhLF68OKB1HD58mCeffJKHHnoomN0QEZE2ElTI/N///R8jRowAcH/jck1NDQCRkZFce+21AZ/JbNmyhbi4OI+3xgzDID09nX379rFnz55m1/GrX/2K4cOHM3ny5GB2Q0RE2kjQn/iv/znl2NhYbDYb3333nXt+XFycx88vN2X37t3Y7XZsNs+cS01NBaCoqAi73e53+Q0bNvD++++zadOmYHZBRETaUFAh06tXL/bv3w+4zmTsdjubN2/mP/7jPzBNky1btvCDH/wgoHWVlZW5f1mzsfj4ePd8f44ePcpvf/tb7r333oC3FyjDaPi0bjiLjHSdqaoWDVQT31QXb+FWE8P3h/2BIN8uu/TSS9m8ebP7bGb69Om8++67pKWlcdVVV1FQUMCPf/zjIDrmv2dNzfvtb39LcnIyt9xyS+CdFxGRNhfUmcwdd9zB1KlT3cOWb775Zqqrq/nLX/6CzWbj3nvv5fbbbw9oXQkJCT7PVhwOB9BwRnO67du3s2nTJl5++WWOH/f8jrHq6mrKy8uJiYkhMrJFHwHCNMPn+4aaEm7fvRQI1cQ31cVbuNUkMbGj37OZoM5kFi1axLFjxzyewH/yk5+Ql5fHunXrGD16NL/85S8DWpfdbmfv3r1eH+YsKioCICUlxedyu3fvxul0kpGRwYgRI9w3gP/93/9lxIgRFBQUBLNbIiJikaBe7ufl5TFmzBgGDx7sc/6hQ4fIz8/nsccea3ZdkyZNYu3atWzdupW0tDT39Pz8fPr27ev3ov+UKVP4t3/7N6/ps2bNYvLkydx8883uwQMiIhJaLXtPyY8TJ04E/DbV+PHjGTVqFAsXLqSsrIzk5GTy8/PZuXMnubm57nYZGRkUFhaya9cuALp160a3bt18rjMpKYlRo0ad+Y6IiEiraDYRvv32W7755hv3/X379vHBBx94tXM4HPzpT3+id+/eAW3YMAxyc3PJzs5myZIl7q+VycnJYcKECUHsgoiInK2a/dGynJwccnJymhztBa7vELPZbPzud787p38ZUz9a5hJuFy4DoZr4prp4C7eanNGPlqWlpdGjRw9M0+SXv/wlN954I0OHDvVoYxgGMTExDBw4sNU/tyIiIueuZkOmX79+7p9d/vbbb7nqqqv8jvwSERFpLKgL/1lZWVb1Q0REzkP6ZUwREbGMQkZERCyjkBEREcsoZERExDIKGRERsYxCRkRELKOQERERyyhkRETEMgoZERGxjEJGREQso5ARERHLKGRERMQyChkREbGMQkZERCyjkBEREcsoZERExDIKGRERsYxCRkRELKOQERERyyhkRETEMgoZERGxjEJGREQso5ARERHLRIZy4xUVFSxZsoQ33niD8vJy7HY7mZmZTJw4scnl/vznP/P222+za9cuSktL6datG+PGjWPOnDl07ty5jXovIiLNMUzTNEO18Z/85Cd8/vnn3HfffSQnJ5OXl8f69et5/vnnGT9+vN/lLr/8ckaNGsX48eNJSkpiz549PPfcc0RHR5Ofn88FF1zQ4j45nSalpcdbvPz5Ij6+AwAOR2WIe3L2UE18U128hVtNEhM7YrMZPueF7Exm27ZtFBQUkJOTw6RJkwAYPXo0Bw8eZPHixU2GTH5+PomJie77I0eOxG63k5GRwWuvvUZGRobl/RcRkeaF7JrMli1biIuL83hrzDAM0tPT2bdvH3v27PG7bOOAqTdw4EAAiouLW7+zIiLSIiELmd27d2O327HZPLuQmpoKQFFRUVDr27FjBwCXXHJJ63RQRETOWMjeLisrK6NPnz5e0+Pj493zg1nXokWL6NOnD9dcc80Z9cswGt5PDWeRkRGAatGYauKb6uIt3Gpi+L4cA4R4dJnRRM+amtdYZWUlmZmZOBwOVq5cSVRUVGt1T0REzlDIQiYhIcHn2YrD4QAazmiacvLkSX72s5/x+eef88ILL9CvX78z7pdphs+IkKaE2+iYQKgmvqku3sKtJomJHf2ezYTsmozdbmfv3r04nU6P6fXXYlJSUppcvqqqijlz5vDRRx+xbNkyfvjDH1rWVxERaZmQhcykSZMoLy9n69atHtPz8/Pp27cvdrvd77LV1dXMmTOHf/zjH+Tm5jJy5EiruysiIi0QsrfLxo8fz6hRo1i4cCFlZWUkJyeTn5/Pzp07yc3NdbfLyMigsLCQXbt2uaf9/Oc/5+9//zuZmZnExMTw0Ucfued17tyZXr16tem+iIiIbyH9xP/x48fJzs5m8+bNHl8rk5aW5m7jK2Tqhzn7kp6ezuLFi1vcJ33i3yXc3lMOhGrim+riLdxq0tQn/kMaMmcjhYxLuP2TBEI18U118RZuNWkqZPQtzCIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFhGISMiIpZRyIiIiGUUMiIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFhGISMiIpZRyIiIiGUUMiIiYhmFjIiIWCakIVNRUcGiRYsYO3YsgwYNYtq0abz99tsBLXvgwAHmzJnDsGHDGDp0KLfffjt79uyxuMciIhKMkIZMVlYW69evZ+7cuSxbtgy73U5WVhbbtm1rcrnS0lJmzpzJN998w+OPP052djYOh4NbbrmF4uLiNuq9iIg0JzJUG962bRsFBQXk5OQwadIkAEaPHs3BgwdZvHgx48eP97vsCy+8QHl5OevWrSMpKQmAIUOGMHHiRJYuXcojjzzSJvvgj2nC4RNwogZi2kFSDBhG67Q3TSiucLWvrHFN6xAJ0ZHQzoAaJ1TVQXm1ax0XtoeUTvBdJXx3ApxOOFELtSZ0bAeDL4SSKte220fAt8ehohbaF1eRFAtffe9ap2lChAEJ0TCwM/yjBCprXduOs0FpDdSZEBsJPTuCo9q1TYCYCPi+GsxT+xBpgAFE2Fzta5xQ54QaE2wGRBtgGq4+OXFtNzoCqmqhFtey9SIMaGeDqIiGaXV1UHVqY1E217qrnK623WMhtTN8eww+/961foD2gNMGtU5X/5JiGrZ1YXv4vwo4drCKqAjoHQsREaces+pT/QY6tINO0a7HEKCiBhxVrrpEGBAfBbFRrloeqXT9rTXBeeqxAFft49q5HjPDaPq4CPY4awv1faqodj2u7SIg9izpm4SGYZqm2Xyz1vfggw/yxhtvUFhYiM3WcEK1Zs0aHnroITZu3Ijdbve57FVXXcVFF13E888/7zF93rx5vPfeexQUFLS4X06nSWnp8RYvb5rw0XcGxSca/qO6xZgM6Wr6/CcLpr1pwj8PGxyuDO6/1cDExN8yJvid509LljmbnP39j7aZJETj8Vg3Pi6CPc6sFB/fAYCyskqvPoW6b6FSXxOHozLEPWkbiYkdsdl8P7ghO5PZvXs3drvdI2AAUlNTASgqKvIZMidPnuTAgQNMmTLFa15qaiobNmygtLSUxMTEFvXLMBoOkJY4WFZH8Ylaj2nFJwyO047k+Igzan+wrI7DlZ5tA+E/YKBlT7bn+jPF2d//KqfB4dOenxofF8EeZ1aKjHRt7xhRXn2qF6q+hUp9Tc7kueRc0tSLh5BdkykrKyM+Pt5rev20srIyn8s5HA5M0/S5bEJCQpPLtoXjVb5PDI/5mR5Me39tJXzUHxfBHmdtobnjM5R9k9AJ2ZkMgNFE/DU1L5D5LWWaZ3aKa6sDX9ltq6vB4ag5o/b+2kr4qD8ugj3OrFT/at1WV+OzT/VC0bdQCce3y/w9JYfsGSshIcHnGYfD4QDweaZSP90wDJ/L1k+rP6MJhaQY1/vPjXWLMUmKOfP2STGQ1CH4V4MGTS3TkleX5/or0rO//9E20+uxbnxcBHuctQVffaoX6r5J6ITsTMZut/Pmm2/idDo9rssUFRUBkJKS4nO59u3b07NnT3e7xoqKiujcuXOLr8e0BsOAIV1NDp8wAxr1E0x7w4ChSSbFFaZrdFktGCa0j3TdIg3XSKeqWiivOTUyqgOkJMCRStcyTiecqHONouoYBYMToaTKbBhdVuEaFdW+nY2kWNj/vZPqxqPL2sPATsMXsOEAAAv8SURBVLCzxORE/eiyCCitdo2i6thodNnhSlcfYiLgqI/RZZE2iIl09bmuzjXSyjAg2uZq23h0WfsIONnE6LLoiIb11zlx9RnXump9ji4zgx5ddrzWRrsI6BPrxHZqdFllNVSfGl0W0841+i62nWvbFTWuOtQ5XSPp4tu5au70Mbos7tTosuO1EBflesxco8t8HxfBHmdtoXGfKk6Numtn0+iycBeykJk0aRJr165l69atpKWluafn5+fTt29fvyPLANLS0li1ahVHjhyhS5cugOss5p133uHaa6+1vO/NMQzoFmtNe8OAH3R03YLRraPr5nNeo6Oge5zrb3x8NAB94nyf7o/p0fT2egD9g+tim+qZ4LoFqscFDTWpfwsk2Megsfo6N6ep4yLY46wtuPt0lvVLQidkITN+/HhGjRrFwoULKSsrIzk5mfz8fHbu3Elubq67XUZGBoWFhezatcs9bfbs2fzlL3/hjjvuIDMzk8jISJYuXUpkZCR33XVXKHZHRER8CFnIGIZBbm4u2dnZLFmyhPLycux2Ozk5OUyYMKHJZS+88EJWrVrF448/zv33349pmgwbNoyVK1fSvXv3NtoDERFpTsg+jHm2OtMPY54vwm10TCBUE99UF2/hVpOmPoyp8bAiImIZhYyIiFhGISMiIpbRNZnTmKaJKtLwmQbVooFq4pvq4i3camIY/r+FRSEjIiKW0dtlIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFhGISMiIpZRyIiIiGUUMiIiYhmFjIiIWEYhIyIillHIiIiIZRQy57n33nuPBQsWMHnyZAYPHsy4cePIyspi165dXm23b9/OjTfeyKBBg7j00kt5+OGHKS8v92pXUVHBokWLGDt2LIMGDWLatGm8/fbbbbE7rebDDz9k9uzZXH755QwcOJDRo0cza9Ystm3b5tU2nOpyumeffZbU1FSmTp3qNS9c6vL++++Tmprq87Z3716PtuFSk6CYcl67++67zYyMDPPVV18133//fXPjxo1menq6OWDAAPOf//ynu92OHTvM/v37m3fffbe5fft2My8vz7zsssvM6dOnm3V1dR7r/M///E9z5MiR5po1a8yCggJz/vz5Zr9+/cy//vWvbb17LfbOO++Yv/nNb8wNGzaYO3bsMN98801z9uzZZkpKirlhwwZ3u3CrS2NFRUXmwIEDzTFjxpjXX3+9x7xwqsuOHTvMlJQUc/ny5eY///lPj9vJkyc92oVLTYKhkDnPlZSUeE1zOBzm8OHDzaysLPe0H//4x+bUqVM9/hn+/ve/mykpKebGjRvd0/7617+aKSkp5ptvvume5nQ6zRkzZphTpkyxaC/aRk1NjTlu3DgzIyPDPS1c61JXV2fecMMN5qOPPmrecsstXiETTnWpD5ktW7Y02S6cahIMvV12nktMTPSadsEFF9C7d2+Ki4sBOHz4MJ988glTp07FZms4JC677DKSkpLYvHmze9qWLVuIi4tj4sSJ7mmGYZCens6+ffvYs2ePhXtjrcjISOLi4mjXrh0Q3nV56aWXKC4u5t577/WaF8518Uc18U8hE4aOHj3K7t27ueSSSwAoKioCcN9vLCUlhd27d7vv7969G7vd7vGPBJCamuqxrnOF0+mktraWw4cP88wzz7B//35uvfVWIHzrcvDgQZ555hkefvhhOnbs6DU/XOvy8MMP079/f4YNG8add97Jp59+6p4XrjUJRGSoOyBtyzRNHnroIZxOJ7NnzwagrKwMgPj4eK/28fHxfP755+77ZWVl9OnTx2e7xus6V9xzzz3uV5kdO3bk97//PePGjQPCsy6mafLggw8yduxY0tLSfLYJt7rExcVx6623MnLkSBISEti7dy/Lly/npptuYuXKlQwePDjsahIMhUyYeeKJJ3jrrbd47LHHuPjiiz3m+f2N7tOm+2vX3Lyz0fz587ntttsoKSlhw4YN3HPPPSxevJjrrrvO3Sac6rJmzRo+/fRTNm3a1GzbcKlL//796d+/v/v+8OHDmTBhAtdddx1LlizhpZdecs8Ll5oEQyETRpYsWcKKFStYuHAh06ZNc09PSEgAfL+CcjgcHq/OEhIS/LYD36/kzmY9e/akZ8+eAEyYMIG77rqLRx99lGuuuSbs6nL06FGefPJJ7rzzTjp06OAeeltbW4vT6aS8vJzo6Oiwq4svXbp0YezYsWzduhUI7/+h5uiaTJh4+umnef7555k/fz6zZs3ymFf/PnLj943rFRUVebzPbLfb2bt3L06n06sduN5/PpcNHDgQh8PB0aNHw64uhw8f5tixY/z3f/83I0aMcN8+/PBDioqKGDFiBM8++2zY1cWfxvukmvinkAkDOTk55ObmMnfuXG677Tav+d26dWPAgAGsX7/e48B/7733OHz4MFdddZV72qRJkygvL3e/gquXn59P3759sdvt1u2IxUzTpLCwkAsuuICEhISwq0uvXr145ZVXvG79+vVzz5s+fXrY1cWXI0eOUFBQwJAhQwD9DzUl4te//vWvQ90Jsc6KFSvIzs7myiuvJD09neLiYvft6NGjdOnSBXA9waxYsYI9e/YQHx/Pzp07eeSRR7jkkktYsGCBeyRM7969+eCDD1izZg2dOnWivLycnJwc3nnnHX73u9/Rt2/fUO5uwObNm8dnn31GeXk5R48e5aOPPuKJJ56goKCA+++/3/3kEU51iYqKIjk52eu2adMmnE4n9913n/utnHCqy7x58/jiiy84duwYJSUlvPvuu/zXf/0Xx44d48knnyQpKQkIr5oEwzBN0wx1J8Q6GRkZFBYW+pzXo0cPj1dTf/vb33j22Wf58ssviY2NJS0tjfnz53u9R3z8+HGys7PZvHkz5eXl2O12MjMz/Y5GOhutXLmS9evXs3//fo4dO0ZcXBwDBgzg5ptvZsKECR5tw6kuvmRkZFBeXs5rr73mMT1c6rJ8+XI2btzIN998Q2VlJQkJCYwcOZKf/exnXm9thUtNgqGQERERy+iajIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciInEXqf+740KFDrb7u1NRUFixY0OrrFWmKQkZERCyjkBEREcsoZERExDIKGZE2Ul1dzR/+8AemTp3K4MGDGTZsGNOmTWPlypU+22ZnZzNu3DgGDBjA9ddfz7Zt27za1dbWsnz5cq655hoGDhzIqFGjyMzMZNeuXW2xSyLN0o+WibSB6upqZs+eTWFhIWPHjuX6668nOjqaoqIi3nzzTW655RaP9gsWLCAyMpKf/vSn1NTU8PLLL5OZmckbb7xBcnKyu919993H66+/zmWXXcZNN91ESUkJq1atYsaMGaxatcrjFx1FQkEhI9IGXn75ZQoLC7nzzjv5xS9+4THv9B+vAujUqRPPP/+8+6d4R40axQ033MDq1auZN28eANu3b+f111/n6quvZsmSJe62V199NdOmTWPRokW8+uqrFu+ZSNP0dplIG1i/fj3x8fFkZmZ6zav/nZHGZs2a5fFb74MGDSI2Npavv/7aPW3Lli0A3HXXXR5t+/XrxxVXXMHOnTs5evRoa+6GSNAUMiJt4Ouvv+aiiy4iOjo6oPY9e/b0mpaQkMD333/vvn/o0CFsNhsXX3yxV9v6n/u14vM2IsFQyIichXyd3ZxOPwUl5wKFjEgb6NOnD/v27aO6urrV1tmrVy+cTid79+71mlc/rfEgAZFQUMiItIF///d/x+FwkJub6zWvpWck9T/Vu3z5co91FBUVsXXrVoYNG0bnzp1b1mGRVqLRZSJtYNasWbzzzjssXbqUTz75hLFjxxIVFcWePXv46quveOmll4Je52WXXcbVV1/Nxo0bcTgcXHnllRw5coRXX32V6OhoHnzwwdbfEZEgKWRE2kBUVBQrVqxgxYoVbNiwgezsbKKjo+nduzfTpk1r8Xqfeuop+vfvT15eHosXLyYmJoYRI0Ywd+5cUlNTW3EPRFrGMHX1UERELKJrMiIiYhmFjIiIWEYhIyIillHIiIiIZRQyIiJiGYWMiIhYRiEjIiKWUciIiIhlFDIiImIZhYyIiFjm/wFdeGOUYDLYYgAAAABJRU5ErkJggg==\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_1.plot.scatter(x = 'chol', y = 'target')" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05567, "end_time": "2021-08-07T19:11:35.297444", "exception": false, "start_time": "2021-08-07T19:11:35.241774", "status": "completed" }, "tags": [] }, "source": [ "<h1>I. Outlier Removal</h1>" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.049542, "end_time": "2021-08-07T19:11:35.399679", "exception": false, "start_time": "2021-08-07T19:11:35.350137", "status": "completed" }, "tags": [] }, "source": [ "This section is adapted from Suraj RP's excellent notebook on various outlier detection techniques. Visit his full notebook here: https://www.kaggle.com/rpsuraj/outlier-detection-techniques-simplified" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.047786, "end_time": "2021-08-07T19:11:35.497183", "exception": false, "start_time": "2021-08-07T19:11:35.449397", "status": "completed" }, "tags": [] }, "source": [ "## Exploratory Data Analysis" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.048633, "end_time": "2021-08-07T19:11:35.594149", "exception": false, "start_time": "2021-08-07T19:11:35.545516", "status": "completed" }, "tags": [] }, "source": [ "### Painting a picture of the data!" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.046855, "end_time": "2021-08-07T19:11:35.689646", "exception": false, "start_time": "2021-08-07T19:11:35.642791", "status": "completed" }, "tags": [] }, "source": [ "#### 0. What columns do we have in this dataset?" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:01.702692Z", "iopub.status.busy": "2021-08-07T19:11:01.702188Z", "iopub.status.idle": "2021-08-07T19:11:01.708439Z", "shell.execute_reply": "2021-08-07T19:11:01.707614Z", "shell.execute_reply.started": "2021-08-07T19:11:01.702646Z" }, "papermill": { "duration": 0.06053, "end_time": "2021-08-07T19:11:35.799423", "exception": false, "start_time": "2021-08-07T19:11:35.738893", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n", " 'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n", " dtype='object')" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1.columns" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.048092, "end_time": "2021-08-07T19:11:35.895928", "exception": false, "start_time": "2021-08-07T19:11:35.847836", "status": "completed" }, "tags": [] }, "source": [ "#### 1. How many null values do we have in each column?" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:01.712072Z", "iopub.status.busy": "2021-08-07T19:11:01.711459Z", "iopub.status.idle": "2021-08-07T19:11:01.720967Z", "shell.execute_reply": "2021-08-07T19:11:01.720150Z", "shell.execute_reply.started": "2021-08-07T19:11:01.712027Z" }, "papermill": { "duration": 0.061256, "end_time": "2021-08-07T19:11:36.006285", "exception": false, "start_time": "2021-08-07T19:11:35.945029", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "age 0\n", "sex 0\n", "cp 0\n", "trestbps 0\n", "chol 0\n", "fbs 0\n", "restecg 0\n", "thalach 0\n", "exang 0\n", "oldpeak 0\n", "slope 0\n", "ca 0\n", "thal 0\n", "target 0\n", "dtype: int64" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1.isnull().sum()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.048671, "end_time": "2021-08-07T19:11:36.103495", "exception": false, "start_time": "2021-08-07T19:11:36.054824", "status": "completed" }, "tags": [] }, "source": [ "#### 2. What is the distribution in each column?" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:01.724212Z", "iopub.status.busy": "2021-08-07T19:11:01.723643Z", "iopub.status.idle": "2021-08-07T19:11:04.320907Z", "shell.execute_reply": "2021-08-07T19:11:04.320163Z", "shell.execute_reply.started": "2021-08-07T19:11:01.724168Z" }, "papermill": { "duration": 2.920307, "end_time": "2021-08-07T19:11:39.072836", "exception": false, "start_time": "2021-08-07T19:11:36.152529", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fb22ccef650>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229370e50>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb22932e690>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229362e90>],\n", " [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb2293226d0>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb2292d5ed0>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229296710>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb22924bf10>],\n", " [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb229254a90>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229217450>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229182790>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb229133f90>],\n", " [<matplotlib.axes._subplots.AxesSubplot object at 0x7fb2290f77d0>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb2290a9fd0>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb22906d810>,\n", " <matplotlib.axes._subplots.AxesSubplot object at 0x7fb22909ff90>]],\n", " dtype=object)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 16 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_1.hist()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.049644, "end_time": "2021-08-07T19:11:39.172479", "exception": false, "start_time": "2021-08-07T19:11:39.122835", "status": "completed" }, "tags": [] }, "source": [ "#### 3. Check out the statistical summary of the dataframe." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.322474Z", "iopub.status.busy": "2021-08-07T19:11:04.322047Z", "iopub.status.idle": "2021-08-07T19:11:04.374003Z", "shell.execute_reply": "2021-08-07T19:11:04.372974Z", "shell.execute_reply.started": "2021-08-07T19:11:04.322435Z" }, "papermill": { "duration": 0.109496, "end_time": "2021-08-07T19:11:39.332258", "exception": false, "start_time": "2021-08-07T19:11:39.222762", "status": "completed" }, "scrolled": true, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>age</th>\n", " <th>sex</th>\n", " <th>cp</th>\n", " <th>trestbps</th>\n", " <th>chol</th>\n", " <th>fbs</th>\n", " <th>restecg</th>\n", " <th>thalach</th>\n", " <th>exang</th>\n", " <th>oldpeak</th>\n", " <th>slope</th>\n", " <th>ca</th>\n", " <th>thal</th>\n", " <th>target</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " <td>303.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>54.366337</td>\n", " <td>0.683168</td>\n", " <td>0.966997</td>\n", " <td>131.623762</td>\n", " <td>246.264026</td>\n", " <td>0.148515</td>\n", " <td>0.528053</td>\n", " <td>149.646865</td>\n", " <td>0.326733</td>\n", " <td>1.039604</td>\n", " <td>1.399340</td>\n", " <td>0.729373</td>\n", " <td>2.313531</td>\n", " <td>0.544554</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>9.082101</td>\n", " <td>0.466011</td>\n", " <td>1.032052</td>\n", " <td>17.538143</td>\n", " <td>51.830751</td>\n", " <td>0.356198</td>\n", " <td>0.525860</td>\n", " <td>22.905161</td>\n", " <td>0.469794</td>\n", " <td>1.161075</td>\n", " <td>0.616226</td>\n", " <td>1.022606</td>\n", " <td>0.612277</td>\n", " <td>0.498835</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>29.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>94.000000</td>\n", " <td>126.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>71.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>47.500000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>120.000000</td>\n", " <td>211.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>133.500000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>2.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>55.000000</td>\n", " <td>1.000000</td>\n", " <td>1.000000</td>\n", " <td>130.000000</td>\n", " <td>240.000000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>153.000000</td>\n", " <td>0.000000</td>\n", " <td>0.800000</td>\n", " <td>1.000000</td>\n", " <td>0.000000</td>\n", " <td>2.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>61.000000</td>\n", " <td>1.000000</td>\n", " <td>2.000000</td>\n", " <td>140.000000</td>\n", " <td>274.500000</td>\n", " <td>0.000000</td>\n", " <td>1.000000</td>\n", " <td>166.000000</td>\n", " <td>1.000000</td>\n", " <td>1.600000</td>\n", " <td>2.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>77.000000</td>\n", " <td>1.000000</td>\n", " <td>3.000000</td>\n", " <td>200.000000</td>\n", " <td>564.000000</td>\n", " <td>1.000000</td>\n", " <td>2.000000</td>\n", " <td>202.000000</td>\n", " <td>1.000000</td>\n", " <td>6.200000</td>\n", " <td>2.000000</td>\n", " <td>4.000000</td>\n", " <td>3.000000</td>\n", " <td>1.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " age sex cp trestbps chol fbs \\\n", "count 303.000000 303.000000 303.000000 303.000000 303.000000 303.000000 \n", "mean 54.366337 0.683168 0.966997 131.623762 246.264026 0.148515 \n", "std 9.082101 0.466011 1.032052 17.538143 51.830751 0.356198 \n", "min 29.000000 0.000000 0.000000 94.000000 126.000000 0.000000 \n", "25% 47.500000 0.000000 0.000000 120.000000 211.000000 0.000000 \n", "50% 55.000000 1.000000 1.000000 130.000000 240.000000 0.000000 \n", "75% 61.000000 1.000000 2.000000 140.000000 274.500000 0.000000 \n", "max 77.000000 1.000000 3.000000 200.000000 564.000000 1.000000 \n", "\n", " restecg thalach exang oldpeak slope ca \\\n", "count 303.000000 303.000000 303.000000 303.000000 303.000000 303.000000 \n", "mean 0.528053 149.646865 0.326733 1.039604 1.399340 0.729373 \n", "std 0.525860 22.905161 0.469794 1.161075 0.616226 1.022606 \n", "min 0.000000 71.000000 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 133.500000 0.000000 0.000000 1.000000 0.000000 \n", "50% 1.000000 153.000000 0.000000 0.800000 1.000000 0.000000 \n", "75% 1.000000 166.000000 1.000000 1.600000 2.000000 1.000000 \n", "max 2.000000 202.000000 1.000000 6.200000 2.000000 4.000000 \n", "\n", " thal target \n", "count 303.000000 303.000000 \n", "mean 2.313531 0.544554 \n", "std 0.612277 0.498835 \n", "min 0.000000 0.000000 \n", "25% 2.000000 0.000000 \n", "50% 2.000000 1.000000 \n", "75% 3.000000 1.000000 \n", "max 3.000000 1.000000 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1.describe()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.050351, "end_time": "2021-08-07T19:11:39.433592", "exception": false, "start_time": "2021-08-07T19:11:39.383241", "status": "completed" }, "tags": [] }, "source": [ "#### Let's consider serum cholestoral in mg/dl column i.e. \"chol\" for our analysis." ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051796, "end_time": "2021-08-07T19:11:39.536549", "exception": false, "start_time": "2021-08-07T19:11:39.484753", "status": "completed" }, "tags": [] }, "source": [ "#### 4. Plot a simple box plot to visualize the outliers." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.375542Z", "iopub.status.busy": "2021-08-07T19:11:04.375175Z", "iopub.status.idle": "2021-08-07T19:11:04.498061Z", "shell.execute_reply": "2021-08-07T19:11:04.497008Z", "shell.execute_reply.started": "2021-08-07T19:11:04.375394Z" }, "papermill": { "duration": 0.191279, "end_time": "2021-08-07T19:11:39.778588", "exception": false, "start_time": "2021-08-07T19:11:39.587309", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fb228dff810>" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYkAAAEDCAYAAADA9vgDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAYKklEQVR4nO3df1DVZd7/8dchJR1+nLNDJmNYMh5hxhDb3QwDklbAW6l7XV3TVjfdlV1qv1KSwdTG6h+bg7WRpBBr2fZt2sap3JCWCsligpVYmtH9YcNtB3GanJ3haDjnHCUr2HPuP7w56wkuzxHBc9TnY6bJ87muz+dc18wZXnN93p8fFp/P5xMAAMOICvcAAACRi5AAABgREgAAI0ICAGBESAAAjAgJAIDRuHAPYDT5fD5xQS8ikcVy9v/8PhFpLBbJMvgDHcYVFhJSb+/pcA8DGMJqnShJcrvPhHkkQKCEhFidJyM43QQAMCMkAABGhAQAwIiQAAAYERIAACNCAhhjdXW79d3v3qKJE6/VvHkZqqvbHe4hASG7oi6BBSJNXd1uVVQ8oZ07dyorK0vvvdeskpJiSdLSpfeEeXRAcJYr6X0SXq+P+yQQUebNy1BFxdO6667/knT2Pon9+1v1+ONlam3tCPPogLP3SURFmW+UICSAMZSYaNOxYyd03XXxks6GRH9/v6ZOnaSeHleYRwcEDwlqEsAYSklJVUdHe8C2jo52paSkhmlEwIUhJIAxVFJSqpKSYn344Yfq7+/X/v2tKikpVklJabiHBoSEwjUwhgaL0w8/XKLDh/9HKSmpevzxjRStcdmgJgFcAjzgD5GKmgQAYMQICQCAESEBADAiJAAARoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAiJAAABgREgAAI0ICAGBESAAAjAgJAIBR0Hdcd3R0aPXq1cO2vfvuu5o+fbr/c1tbm7Zt26bDhw8rJiZG+fn5Ki0tVXx8fMB+fX19qqqq0t69e+XxeGS327Vu3Trl5uZe5HQAAKMpaEgMKi0t1Zw5cwK2JSUl+f/d0dGhoqIi5ebmqqSkRMePH1dlZaUcDod27dqlqKj/LFqKi4vV2dmp0tJSJSUlac+ePSouLtaOHTuUk5MzCtMCAIyGkEMiOTlZt9xyi7H96aef1owZM/Tss8/6A2HSpElau3at9u7dq4KCAklSS0uLPvroI9XU1Cg/P1+SNHfuXB07dkxPPvkkIQEAEWRUahJOp1OHDh3S4sWLA1YMWVlZmjx5spqamvzb9u3bp7i4uIBTSxaLRUuWLNHRo0d15MiR0RgSAGAUhBwSmzZt0syZM/X9739f999/vz755BN/m8PhkCTNmDFjyH4pKSnq6uryf+7q6pLdbg8IE0lKTU0NOBYAIPyCnm6Ki4vTmjVrdNttt8lms6m7u1svvPCCfvKTn+jVV1/V7Nmz5XK5JElWq3XI/larVZ2dnf7PLpdL06ZNG7bfYPtIWSyS1TpxxPsDY2XcuGsk8ftE5LFYzt8eNCRmzpypmTNn+j/feuutmj9/vu6++25VVVXp5ZdfPufLhv+2b2839QvWBgC4tEIuXJ9r0qRJys7OVnNzsyTJZrNJGn4V4Ha7A1YYNpvN2E8afjUSKp9PcrvPjHh/YKwMriD4fSLSJCTEnnc1MeLCtdfr9f97sBZxbu1hkMPhCKhV2O12dXd3B+w/2E86W8MAAESGEYXEiRMn9NFHH/kviU1MTFRaWpoaGhoC/vi3t7fL6XRqwYIF/m35+fnyeDz+Vcig+vp6JScny263j2RIAIAxEPR00yOPPKKpU6fq5ptvVnx8vI4ePaqdO3fqq6++0oYNG/z9SktLVVhYqA0bNmjFihVyOp2qrKzU7NmztXDhQn+/nJwcZWRkqLy8XC6XS0lJSaqvr9eBAwdUW1s7NrMEAIyIxefz+c7X4YUXXtA777yjf/3rXzpz5oxsNptuu+02/epXvxpyaqi1tVXV1dX+x3Lk5eWprKxsSJ3h9OnT2rp1q5qamgIey5GXl3dRk/F6fertPX1RxwDGAjUJRKqEhFhFRZ3nYqJgIXE5ISQQqQgJRKpgIcFTYAEARoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAiJAAABgREgAAI0ICAGBESAAAjAgJAIARIQEAMCIkAABGhAQAwIiQAAAYERIAACNCAgBgREgAAIwICQCAESEBADAiJAAARoQEAMCIkAAAGBESwBirq9ut7373Fk2ceK3mzctQXd3ucA8JCNm4cA8AuJLV1e1WRcUT2rlzp7KysvTee80qKSmWJC1dek+YRwcEZ/H5fL5wD2K0eL0+9faeDvcwAL958zJUUfG07rrrvyRJbvcZ7d/fqscfL1Nra0eYRwdICQmxioqyGNsJCWAMJSbadOzYCV13XbyksyHR39+vqVMnqafHFebRAcFDgtNNwBhKSUlVZeWTamp6V4cP/49SUlK1aNHdSklJDffQgJCMqHBdXV2t1NRULV68eEhbW1ubli9frvT0dN1+++3atGmTPB7PkH59fX3avHmzsrOzlZ6erqVLl+qDDz4YyXCAiJWVdYe2bXtGvb1fyOfzqbe3V9u2PaOsrDvCPTQgJBccEl1dXdq5c6euu+66IW0dHR0qKipSYmKiduzYoUcffVTNzc0qKiqS1+sN6FtcXKyGhgatX79ezz//vOx2u4qLi9XS0jLy2QARprHxbcXGxmrChImSpAkTJig2NlaNjW+HeWRAaC6oJuH1enXvvfdq1qxZcjgc8ng8euutt/zty5Yt08DAgOrq6hQVdTZ/2tratHbtWlVVVamgoECS1NLSoqKiItXU1Cg/P1+S5PP5tHLlSrlcLjU2No5oMtQkEGmuvz5eb7xRr8WL75J0tibx4YfNWr78Rzp+fOgKG7jUgtUkLmgl8fLLL6unp0cPP/zwkDan06lDhw5p8eLF/oCQpKysLE2ePFlNTU3+bfv27VNcXJxyc3P92ywWi5YsWaKjR4/qyJEjFzIsAMAYCTkkjh07pu3bt2vTpk2KjY0d0u5wOCRJM2bMGNKWkpKirq4u/+euri7Z7faAMJGk1NTUgGMBl7spU6bowQfv14cffqj+/n7t39+qBx+8X1OmTAn30ICQhHR1k8/n029+8xtlZ2crLy9v2D4u19nL+axW65A2q9Wqzs7OgL7Tpk0btt+5x7pQFotktU4c0b7AWHjyyae0bt3/0913F6i/v1/jx4/XhAkT9NxztfxWEREs5jNNkkIMiTfeeEOffPKJ3n333RC+cPhv/PZ2U79gbcDl5tprJyghIUGff/65pky5QX19feEeEhCyoCFx8uRJPf3007r//vs1ceJE/+WsAwMD8nq98ng8uvbaa2Wz2SQNvwpwu90BKwybzWbsJw2/GgmFz3e2MAhEioqKCr3wwv8f9o7rhQuHXkIOXGoJCbHnXU0ErUk4nU6dOnVKzzzzjObMmeP/7+DBg3I4HJozZ46qq6v9tYhzaw+DHA5HQK3Cbreru7t7yGWxg7WIlJSUkCYHRDqH41NlZNwesC0j43Y5HJ+GaUTAhQm6krjxxhv1yiuvDNleUVGhL7/8Ups3b9aUKVOUmJiotLQ0NTQ0aM2aNf6idHt7u5xOpxYsWODfNz8/X3/605/U3NwcUOOor69XcnKy7Hb7aMwNCLuUlFR1dLT7VxKS1NHRzh3XuGwEDYmYmBhlZGQM2R4ff/ZZNOe2lZaWqrCwUBs2bNCKFSvkdDpVWVmp2bNna+HChf5+OTk5ysjIUHl5uVwul5KSklRfX68DBw6otrZ2NOYFRISSklKVlBQrJubsU2D3729VSUmxHn98Y7iHBoRkxA/4u++++4bcTCdJra2tqq6u1uHDhxUTE6O8vDyVlZUNqTOcPn1aW7duVVNTkzwej+x2u9atW2e8eioU3EyHSFRXt1vbt2/1P7uppKSUx4QjYvAUWCACDF7uyoUViDSjesc1AODqQkgAAIwICQCAESEBADAiJAAARoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgFFIb6YDEOjHP/5vdXcPfXfKaJo+fYbefLNhTL8DCIYH/AGXgNU6Ua+9tkuLFi0J91CAADzgDwAwYoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAiJAAABgREgAAI0ICAGBESAAAjAgJAIARIQEAMCIkAABGhAQAwIiQAAAYBQ2JgwcPqrCwUHfccYdmzZqluXPnavXq1WppaRnSt62tTcuXL1d6erpuv/12bdq0SR6PZ0i/vr4+bd68WdnZ2UpPT9fSpUv1wQcfjM6MAACjJmhIeDweJScn67HHHtOLL76oJ554QtHR0SoqKtI777zj79fR0aGioiIlJiZqx44devTRR9Xc3KyioiJ5vd6AYxYXF6uhoUHr16/X888/L7vdruLi4mGDBwAQPhafz+e70J0GBgaUm5urm266Sa+88ookadmyZRoYGFBdXZ2ios5mT1tbm9auXauqqioVFBRIklpaWlRUVKSamhrl5+dLknw+n1auXCmXy6XGxsYRT8br9am39/SI9wfGitU6Ua+9tkuLFi0J91CAAAkJsYqKshjbR1STGDdunOLi4jR+/HhJktPp1KFDh7R48WJ/QEhSVlaWJk+erKamJv+2ffv2KS4uTrm5uf5tFotFS5Ys0dGjR3XkyJGRDAkAMAZCDgmv16uBgQE5nU5t375dn332mdasWSNJcjgckqQZM2YM2S8lJUVdXV3+z11dXbLb7QFhIkmpqakBxwIAhN+4UDuWlJT4VwSxsbF69tlnNW/ePEmSy+WSJFmt1iH7Wa1WdXZ2+j+7XC5NmzZt2H7nHmskLJazy3og0owbd40kfp+IPBbzmSZJF7CSKCsr0+7du/X73/9eOTk5Kikp0dtvv/2tLxv+27693dQvWBsA4NIKeSUxdepUTZ06VZI0f/58PfDAA/rtb3+rgoIC2Ww2ScOvAtxud8AKw2azGftJw69GQuXzSW73mRHvD4yVwRUEv09EmoSE2POuJkZ8M92sWbPkdrt18uRJfy3i3NrDIIfDEVCrsNvt6u7uHnJZ7GAtIiUlZaRDAgCMshGFhM/n08cff6z4+HjZbDYlJiYqLS1NDQ0NAX/829vb5XQ6tWDBAv+2/Px8eTweNTc3Bxyzvr5eycnJstvtI5wKAGC0BT3d9Mgjj+iGG27QzTffrO985zs6ceKE9uzZo7/+9a/auHGjxo07e4jS0lIVFhZqw4YNWrFihZxOpyorKzV79mwtXLjQf7ycnBxlZGSovLxcLpdLSUlJqq+v14EDB1RbWzt2MwUAXLCgN9O9+uqramho0GeffaZTp04pLi5OaWlpWrVqlebPnx/Qt7W1VdXV1Tp8+LBiYmKUl5ensrKyIXWG06dPa+vWrWpqapLH45Hdbte6deuUl5d3UZPhZjpEKm6mQ6QKdjPdiO64jlSEBCIVIYFINSZ3XAMArg6EBADAiJAAABgREgAAIwrXuOq9//7b6u/vD/cwRsX48eOVl3d3uIeBy0iwwnXIj+UArlT9/f1jftXRpXosR2PjnjE9Pq4+nG4CABgREgAAI0ICAGBESAAAjAgJAIARIQEAMCIkAABGhAQAwIiQAAAYERIAACNCAgBgREgAAIwICQCAESEBADDifRK46vX3n5LVag33MEaF2+3W+PFx4R4GLiO8TwII4v33379i3idxKeaCqwunmwAARoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAKOhjOdrb2/XWW2/pb3/7m3p6emS1WpWenq4HH3xQqampAX3b2tq0bds2HT58WDExMcrPz1dpaani4+MD+vX19amqqkp79+6Vx+OR3W7XunXrlJubO7qzAwBclKAP+HvooYfkcrm0aNEiTZ8+XV988YVefPFFdXV16Y9//KNuueUWSVJHR4fWrl2r3Nxc3XvvvTp+/LgqKyuVlJSkXbt2KSrqP4uWn//85+rs7FRpaamSkpK0Z88eNTQ0aMeOHcrJyRnxZHjAH0aisXFPuIcwasaPH6+8vLvDPQxcRoI94C9oSPT29iohISFgm8fjUW5urubOnavq6mpJ0rJlyzQwMKC6ujp/ILS1tWnt2rWqqqpSQUGBJKmlpUVFRUWqqalRfn6+JMnn82nlypVyuVxqbGwc8WQJCUQqq3WiXnttFw/fQ8QJFhJBaxLfDghJio+P10033aSenh5JktPp1KFDh7R48eKAFUNWVpYmT56spqYm/7Z9+/YpLi4u4NSSxWLRkiVLdPToUR05ciS0mQEAxtyICtcnT55UV1eXZsyYIUlyOByS5P98rpSUFHV1dfk/d3V1yW63B4SJJH99Y/BYAIDwu+D3Sfh8Pm3cuFFer1eFhYWSJJfLJUnDvrjFarWqs7PT/9nlcmnatGnD9jv3WCNhsfznuf1AJBk37hpJ/D4ReSzmM02SRhASv/vd7/T+++9ry5Ytmj59+re+bPhv+/Z2U79gbQCAS+uCQqKqqkovvfSSysvLtXTpUv92m80mafhVgNvtDlhh2Gw2Yz9p+NVIqHy+sX/zFzASl+rNdMCFSkiIPe9qIuSaxLZt27Rjxw6VlZVp9erVAW2DtYhzaw+DHA5HQK3Cbreru7tbXq93SD/pbA0DABAZQgqJmpoa1dbWav369frFL34xpD0xMVFpaWlqaGgI+OPf3t4up9OpBQsW+Lfl5+fL4/Goubk54Bj19fVKTk6W3W4f6VwAAKMs6Omml156SdXV1frBD36gzMxM/f3vf/e3RUdHa+bMmZKk0tJSFRYWasOGDVqxYoWcTqcqKys1e/ZsLVy40L9PTk6OMjIyVF5eLpfLpaSkJNXX1+vAgQOqra0dgykCAEYq6M109913nz7++ONh22644YaAFUFra6uqq6v9j+XIy8tTWVnZkDrD6dOntXXrVjU1NQU8liMvL++iJsPNdIhU3EyHSHXRd1xfTggJRCpCApHqou+4BgBcvQgJAIARIQEAMCIkAABGhAQAwIiQAAAYERIAACNCAgBgREgAAIwICQCAESEBADAiJAAARoQEAMCIkAAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAiJAAABgREgAAI0ICAGBESAAAjAgJAICRxefz+cI9iNHi9frU23s63MPAVeDHP/5vdXd3jel3TJ8+Q2++2TCm3wEkJMQqKspibCckgEvAap0oSXK7z4R5JECgYCHB6SYAgBEhAQAwIiQAAEaEBADAiJAAABgREgAAI0ICAGB0Rd0n4fP5dOXMBlcSy/9dhs7vE5HGYpEslqvkZjoAwOjidBMAwIiQAAAYERIAACNCAgBgREgAAIwICQCAESEBADAiJAAARoQEAMCIkAAAGBESAAAjQgIAYERIAKOkurpaqamp8ng8o3bM1NRUVVdXj9rxgAtFSAAAjAgJAIARIQFcgCNHjqikpESZmZlKS0vT/PnzVV5eHtDnxIkTKikp0fe+9z1lZmbq17/+tU6dOhXQ58svv9STTz6pO++8U2lpabrzzjv11FNP6auvvrqU0wGCGhfuAQCXi87OTq1atUqTJk3Sww8/rKlTp6qnp0fvvfdeQL/i4mIVFBRo+fLl+vTTT7V161ZJ0pYtWyRJXq9XDzzwgA4ePKh169YpPT1d//jHP1RbW6tPP/1Uf/jDH877pjDgUiIkgBBt2bJF0dHReuONN2Sz2fzbf/SjHwX0W7FihX72s59JkjIzM/X555/rzTffVEVFhSwWi/7yl7+oo6NDGzdu1E9/+lNJUlZWlmJiYlRRUaH9+/frjjvuuGTzAs6H001ACM6cOaMDBw6ooKAgICCGM3/+/IDPqamp+vrrr/XFF19Ikjo6OiRJP/zhDwP6DYbNYDsQCQgJIAQej0f//ve/lZiYGLTvt0MkOjpakvT1119Lktxut6KjoxUfHx/Qz2q1Kjo6Wi6Xa5RGDVw8QgIIgdVq1TXXXKOenp6LPpbNZtM333wz5H4Kt9utb775JuhKBbiUCAkgBBMmTNCtt96qxsZGud3uizrW3LlzJUl//vOfA7YPfh5sByIBhWsgRI899phWrVqle+65R7/85S9144036vjx49q3b5+2b98e8nGys7OVmZmpp556SqdOnVJ6err++c9/6rnnnlN2draysrLGcBbAhSEkgBDNnDlTr7/+uqqrq1VZWam+vj5df/31yszMvKDjWCwW1dbWavv27Xr99ddVU1OjSZMmafXq1XrooYe4/BURxeLz+XzhHgQAIDJRkwAAGBESAAAjQgIAYERIAACMCAkAgBEhAQAwIiQAAEaEBADAiJAAABj9LwZRmRp9dmmWAAAAAElFTkSuQmCC\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_1.boxplot('chol')" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051916, "end_time": "2021-08-07T19:11:39.883809", "exception": false, "start_time": "2021-08-07T19:11:39.831893", "status": "completed" }, "tags": [] }, "source": [ "#### From the above box plot, we can surely observe that there are outliers in it!" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051598, "end_time": "2021-08-07T19:11:39.987434", "exception": false, "start_time": "2021-08-07T19:11:39.935836", "status": "completed" }, "tags": [] }, "source": [ "## Back to Preprocessing..." ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051404, "end_time": "2021-08-07T19:11:40.090541", "exception": false, "start_time": "2021-08-07T19:11:40.039137", "status": "completed" }, "tags": [] }, "source": [ "#### 1. Find the value at the 25th percentile. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.499644Z", "iopub.status.busy": "2021-08-07T19:11:04.499345Z", "iopub.status.idle": "2021-08-07T19:11:04.506469Z", "shell.execute_reply": "2021-08-07T19:11:04.505617Z", "shell.execute_reply.started": "2021-08-07T19:11:04.499598Z" }, "papermill": { "duration": 0.063696, "end_time": "2021-08-07T19:11:40.207812", "exception": false, "start_time": "2021-08-07T19:11:40.144116", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "p25 = df_1.chol.quantile(0.25)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051682, "end_time": "2021-08-07T19:11:40.311255", "exception": false, "start_time": "2021-08-07T19:11:40.259573", "status": "completed" }, "tags": [] }, "source": [ "#### 2. Find the value at the 75th percentile." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.508201Z", "iopub.status.busy": "2021-08-07T19:11:04.507938Z", "iopub.status.idle": "2021-08-07T19:11:04.517610Z", "shell.execute_reply": "2021-08-07T19:11:04.516509Z", "shell.execute_reply.started": "2021-08-07T19:11:04.508161Z" }, "papermill": { "duration": 0.062089, "end_time": "2021-08-07T19:11:40.425570", "exception": false, "start_time": "2021-08-07T19:11:40.363481", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "p75 = df_1.chol.quantile(0.75)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.052049, "end_time": "2021-08-07T19:11:40.530506", "exception": false, "start_time": "2021-08-07T19:11:40.478457", "status": "completed" }, "tags": [] }, "source": [ "#### 3. Find the IQR. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.519719Z", "iopub.status.busy": "2021-08-07T19:11:04.519202Z", "iopub.status.idle": "2021-08-07T19:11:04.527277Z", "shell.execute_reply": "2021-08-07T19:11:04.526204Z", "shell.execute_reply.started": "2021-08-07T19:11:04.519513Z" }, "papermill": { "duration": 0.058594, "end_time": "2021-08-07T19:11:40.685479", "exception": false, "start_time": "2021-08-07T19:11:40.626885", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "iqr = p75 - p25" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051325, "end_time": "2021-08-07T19:11:40.788689", "exception": false, "start_time": "2021-08-07T19:11:40.737364", "status": "completed" }, "tags": [] }, "source": [ "#### 4. Calculate the cut-off range." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.529386Z", "iopub.status.busy": "2021-08-07T19:11:04.528810Z", "iopub.status.idle": "2021-08-07T19:11:04.538247Z", "shell.execute_reply": "2021-08-07T19:11:04.537166Z", "shell.execute_reply.started": "2021-08-07T19:11:04.529314Z" }, "papermill": { "duration": 0.059185, "end_time": "2021-08-07T19:11:40.899727", "exception": false, "start_time": "2021-08-07T19:11:40.840542", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "cutoff = 1.5iqr" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.052055, "end_time": "2021-08-07T19:11:41.003961", "exception": false, "start_time": "2021-08-07T19:11:40.951906", "status": "completed" }, "tags": [] }, "source": [ "#### 5. Calculate the upper bound value using the cut-off range and the 75th percentile value." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.540494Z", "iopub.status.busy": "2021-08-07T19:11:04.540065Z", "iopub.status.idle": "2021-08-07T19:11:04.548885Z", "shell.execute_reply": "2021-08-07T19:11:04.548014Z", "shell.execute_reply.started": "2021-08-07T19:11:04.540428Z" }, "papermill": { "duration": 0.058744, "end_time": "2021-08-07T19:11:41.115218", "exception": false, "start_time": "2021-08-07T19:11:41.056474", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "upper = p75+cutoff" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05124, "end_time": "2021-08-07T19:11:41.218850", "exception": false, "start_time": "2021-08-07T19:11:41.167610", "status": "completed" }, "tags": [] }, "source": [ "#### 6. Calculate the lower bound value using the cut-off range and the 25th percentile value." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.551229Z", "iopub.status.busy": "2021-08-07T19:11:04.550764Z", "iopub.status.idle": "2021-08-07T19:11:04.560475Z", "shell.execute_reply": "2021-08-07T19:11:04.559419Z", "shell.execute_reply.started": "2021-08-07T19:11:04.551158Z" }, "papermill": { "duration": 0.059375, "end_time": "2021-08-07T19:11:41.329904", "exception": false, "start_time": "2021-08-07T19:11:41.270529", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "lower = p25 - cutoff" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051389, "end_time": "2021-08-07T19:11:41.432545", "exception": false, "start_time": "2021-08-07T19:11:41.381156", "status": "completed" }, "tags": [] }, "source": [ "#### 7. What is the total number of outliers?" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.562002Z", "iopub.status.busy": "2021-08-07T19:11:04.561675Z", "iopub.status.idle": "2021-08-07T19:11:04.579028Z", "shell.execute_reply": "2021-08-07T19:11:04.578021Z", "shell.execute_reply.started": "2021-08-07T19:11:04.561955Z" }, "papermill": { "duration": 0.065243, "end_time": "2021-08-07T19:11:41.549761", "exception": false, "start_time": "2021-08-07T19:11:41.484518", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "age 5\n", "sex 5\n", "cp 5\n", "trestbps 5\n", "chol 5\n", "fbs 5\n", "restecg 5\n", "thalach 5\n", "exang 5\n", "oldpeak 5\n", "slope 5\n", "ca 5\n", "thal 5\n", "target 5\n", "dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1[(df_1.chol > upper) \| (df_1.chol < lower)].count()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051335, "end_time": "2021-08-07T19:11:41.653190", "exception": false, "start_time": "2021-08-07T19:11:41.601855", "status": "completed" }, "tags": [] }, "source": [ "### Visual representation:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.580991Z", "iopub.status.busy": "2021-08-07T19:11:04.580553Z", "iopub.status.idle": "2021-08-07T19:11:04.931912Z", "shell.execute_reply": "2021-08-07T19:11:04.930825Z", "shell.execute_reply.started": "2021-08-07T19:11:04.580915Z" }, "papermill": { "duration": 0.410722, "end_time": "2021-08-07T19:11:42.116296", "exception": false, "start_time": "2021-08-07T19:11:41.705574", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<matplotlib.patches.Polygon at 0x7fb228d73450>" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x432 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (10,6))\n", "sns.distplot(df_1.chol, kde=False)\n", "plt.axvspan(xmin = lower,xmax= df_1.chol.min(),alpha=0.2, color='red')\n", "plt.axvspan(xmin = upper,xmax= df_1.chol.max(),alpha=0.2, color='red')" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05209, "end_time": "2021-08-07T19:11:42.222027", "exception": false, "start_time": "2021-08-07T19:11:42.169937", "status": "completed" }, "tags": [] }, "source": [ "#### Here the red zone represents the outlier zone! The records present in that zone are considered as outliers" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05239, "end_time": "2021-08-07T19:11:42.327300", "exception": false, "start_time": "2021-08-07T19:11:42.274910", "status": "completed" }, "tags": [] }, "source": [ "### Remedial Measure:\n", "#### 8. Remove the records which are above the upper bound value and records below the lower bound value!" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.933540Z", "iopub.status.busy": "2021-08-07T19:11:04.933264Z", "iopub.status.idle": "2021-08-07T19:11:04.939530Z", "shell.execute_reply": "2021-08-07T19:11:04.938477Z", "shell.execute_reply.started": "2021-08-07T19:11:04.933493Z" }, "papermill": { "duration": 0.062697, "end_time": "2021-08-07T19:11:42.443006", "exception": false, "start_time": "2021-08-07T19:11:42.380309", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#Data Frame without outliers\n", "\n", "df_1.drop(df_1[df_1.chol > upper].index, inplace = True)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.052637, "end_time": "2021-08-07T19:11:42.549223", "exception": false, "start_time": "2021-08-07T19:11:42.496586", "status": "completed" }, "tags": [] }, "source": [ "# II. Multicollinearity " ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05209, "end_time": "2021-08-07T19:11:42.654035", "exception": false, "start_time": "2021-08-07T19:11:42.601945", "status": "completed" }, "tags": [] }, "source": [ "### Back to Exploratory Data Analysis" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.052248, "end_time": "2021-08-07T19:11:42.758821", "exception": false, "start_time": "2021-08-07T19:11:42.706573", "status": "completed" }, "tags": [] }, "source": [ "#### 1. Find the correlation coefficients matrix." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.941627Z", "iopub.status.busy": "2021-08-07T19:11:04.941341Z", "iopub.status.idle": "2021-08-07T19:11:04.952630Z", "shell.execute_reply": "2021-08-07T19:11:04.951343Z", "shell.execute_reply.started": "2021-08-07T19:11:04.941585Z" }, "papermill": { "duration": 0.06339, "end_time": "2021-08-07T19:11:42.875139", "exception": false, "start_time": "2021-08-07T19:11:42.811749", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "arr = df_1.to_numpy()\n", "arr = np.matrix.transpose(arr)\n", "coef_mat = np.corrcoef(arr)\n" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.068647, "end_time": "2021-08-07T19:11:43.014288", "exception": false, "start_time": "2021-08-07T19:11:42.945641", "status": "completed" }, "tags": [] }, "source": [ "#### 2. Plot the correlation matrix as a heatmap." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:04.955070Z", "iopub.status.busy": "2021-08-07T19:11:04.954470Z", "iopub.status.idle": "2021-08-07T19:11:05.326901Z", "shell.execute_reply": "2021-08-07T19:11:05.326081Z", "shell.execute_reply.started": "2021-08-07T19:11:04.954855Z" }, "papermill": { "duration": 0.44095, "end_time": "2021-08-07T19:11:43.520247", "exception": false, "start_time": "2021-08-07T19:11:43.079297", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fb229282690>" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEPCAYAAACtCNj2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nO3de1xU1d4/8M9wUxACr2iJKHLzBpiIgBdKHTP1peLjec4xhVIPUIJ6vDxZR7HH8ilvmSmppaKmnrxUkmbY0fDSkxckb2UmCJUXEhUdwBvIzPr90eP8IrazB1mDY/vz7jWvV+xZ8501OMxn1l57r60TQggQEREBcHjYHSAiIvvBUCAiIjOGAhERmTEUiIjIjKFARERmDAUiIjJjKBAR2cilS5cwe/ZsjBgxAp07d0ZQUBAOHz5s9ePPnTuHcePGoUuXLujcuTMSEhJw9uxZG/aYoUBEZDO//PILduzYATc3N0RGRtboscXFxXjuuedw8eJFzJ07FwsXLkRJSQlGjRqFS5cu2ajHgJPNKhMRaVzXrl1x8OBBAMDu3buRlZVl9WNXrVqF0tJSfPLJJ/D29gYAhIWFoU+fPli2bBlmzZplkz5zpEBEZCMODg/+Ebt7925ER0ebAwEAGjZsiKeffhq7du2S0T1FDAUiIjtz584dnDt3DoGBgdXuCwoKQnFxMYqLi23y3Nx9RESkIjw8XLVNTk6OtOcrKSmBEAKenp7V7vPy8gIAGAwGNG7cWNpz3mNXoXD3aoGUOm+Ep0qpAwAOkpcLfM5NXroXXXeXVqtUOEurtd9VWilsu5UvrdYcB39ptZo73JFWCwBWujhKqzW1/g1ptY6UyvvQyXAulVYLAD7+ZVutHi/r88aWdDpdnT+nXYUCEVGdMRmtbipzFGANT09P6HQ6GAyGavfd23ZvxCAbQ4GItEmYHnYP7qt+/frw8fFBbm5utftyc3PRqFEjm+w6AjjRTERaZTJZf3sI+vbtiwMHDuDKlSvmbQaDAXv27IFer7fZ81o9UsjPz0deXh4MBgN0Oh08PT0REBCAtm3b2qxzRES2IupopLBz504AwHfffQcAOHLkCK5fvw5XV1fExMQAAOLi4pCdnY0zZ86YHzd27Fhs27YNiYmJSE5OhpOTE5YtWwYnJye8+OKLNuuvaijs378fc+fORUFBAf54kTadToc2bdpg2rRp5hdHRPRIMFbWydNMnDixys9LliwBADzxxBMWT2Zr0qQJNmzYgLlz5+Lll1+GEAJdunTB+vXr8fjjj9usvxZDISsrCykpKQgLC8Prr7+OoKAg8yFSJSUlOHPmDDIyMvDSSy8hLS0NvXv3tllHiYikqsFEc238/tv//axbt05xe+vWrbFs2TLZXbLIYii89957GDx4MObMmaN4f0hICP7yl7/glVdeYSgQ0aPFjieaHyaLE81nz55FbGysapHY2Fjk58s7npyIyObsfKL5YbE4UvDw8MDFixdVi1y4cAEeHh7SOkVEZGt1NdH8qLE4Uujfvz/mzZuHr7766r5tsrKysGDBAvTv319654iIbIYjBUUWRwqTJ09Gfn4+kpOT8dhjj6Ft27ZVzrQrKChAaWkpIiIiMGnSpLrqMxFR7RnvPuwe2CWLoeDm5obVq1dj37592L17N/Ly8vDTTz8B+G0JV71eD71ez8NRiejRw91Hiqw6eS0mJoYf/ET056Kx3ULW4tpHRKRNHCkosqtQkLXkdWrOG1LqAMCcLvKW4QaALbfkLWJ1tb68k29C78pbutkJ8v7YnnetfpGRB+V6R94ZrJdN9aTVAoC2Qt7v/6fr8mp1qFcmrdY6k53tw+dIQZFdhQIRUV0R9hZSdoKhQETaxJGCIoYCEWkT5xQUMRSISJvqaEG8Rw1DgYi0iSMFRQwFItImzikoYigQkTbV0UV2HjUMBSLSJo4UFDEUiEiThOBEsxKGAhFpE0cKihgKRKRNPPpIEUOBiLSJIwVFDAUi0iYefaSIoUBE2sTdR4rsKhQchJw6spe7fuVbeUtxfxQ6U1qtG84WL7FdIw1Mkn75APzvyutXTKPL0moNvlMqrdZT9X2l1QKAZ+7Iq/Wxq7xvwI5wkVZrY5cSabWk4O4jRXYVCvZIZiAQkR1hKChiKBCRNnH3kSKGAhFpEyeaFTEUiEibuPtIEUOBiLSJu48UMRSISJs4UlCkeuzgyZMnMWHCBPz1r39FamoqCgoKqrU5ffo0+vTpY5MOEhHZhMlk/U1DLIZCbm4uRo0ahUOHDsFkMmH79u2IjY1FRkZGlXYVFRUoLCy0aUeJiKQSwvqbhljcfbRkyRIEBARgzZo18PDwwLVr15CamopXX30VN2/exMiRI+uqn0REclXy6CMlFkcKJ0+eREJCAjw8PAAAjRo1wnvvvYcXXngBs2fPxurVq+ukk0RE0gmT9TcNsThSKCkpQZMmTaptnzZtGlxcXDBv3jxUVFQgMjLSZh0kIrIJjc0VWMtiKDRv3hz5+fkIDw+vdt+kSZPg4OCARYsW4amnnrJV/4iIbENjcwXWsrj7qHPnzsjMzLzv/RMnTkRycjL27NkjvWNERDbFo48UWRwpDB48GBs3bsS1a9fQqFEjxTYpKSlwc3NjMBDRo0VjH/bWshgKUVFRiIqKUi0yZswYjBkzRlqniIhsTRiND7sLdsmuzmh+zq1YSp0ttxpLqQPIvf4BAIw48bq0Wns6/FNaLVedvMPzPnN2llbrUmkzabWmOzaVVsu3XOIFEABsqS/vd9a/vJ60WuU6nbRaqd96S6sFAGm1LcCRgiK7CgUiojqjsUNNrcVQICJtkni1wT8ThgIRaRN3HyliKBCRNnGiWRFDgYi0iSMFRQwFItImzikoYigQkTbx6CNFDAUi0iaOFBQxFIhIkwTnFBQxFIhIm3j0kSKGAhFpE3cfKWIoEJE2cfeRIoYCEWkTRwqKGApEpE08JFWRXYVC0XV3KXV6oRyf1pfz0q46A/UtX6CuRmQud/30qTel1VrRWd4S4Y6QN4HnKK0S4Crxm+Fl1EOhs7z3RbC8lctxR95q13CEvN+ZCyR2TAaOFBTZVSjIIisQALmBQH8eMgOBHg5RyaOPlPwpQ4GISFUdjRRu3ryJd955Bzt37kRpaSn8/f2RnJyMPn36WHzckiVLkJZW/VJCTZo0wTfffGOr7jIUiEij6mhOISUlBT/88AOmTp2Kli1bYuvWrUhJScHy5csRExOj+vjVq1fDzc3N/LOzxCsbKmEoEJE21cFIYd++fThw4ADS0tKg1+sBAJGRkTh//jzmzJljVSh07NgRjz32mK27avbAO0YrKiqwcOFCXLhwQWZ/iIjqhDAJq28PateuXfDw8Kiyq0in0yE2NhYFBQU4e/asjJci1QOHQnl5OVasWIFLly7J7A8RUd2oNFp/e0B5eXnw9/eHg0PVj9qgoCAAQG5urmqNAQMGoF27dujRowdmzJiB4uLiB+6PNSzuPoqNjb3vfUajEUIITJ8+HW5ubtDpdPj000+ld5CIyCZqMAIIDw9XbZOTk1Ntm8FgQOvWratt9/T0NN9/Pz4+Ppg8eTLatWsHZ2dnHD16FCtXrsTBgwfx6aefmmvIZjEUTp8+jSZNmqBNmzbV7jP+32JSrq6ucHeXc34BEVGdqaOjj3S6+5+fYem+oUOHVvk5KioKYWFhGDNmDDZs2IBx48ZJ6+PvWQyF5ORkrFy5EkFBQZg0aRIaNGhgvq+0tBQRERGYPn06unbtapPOERHZihDWh4LSKMAaXl5eiqOBkpISAKjxt/3u3bujadOmOH78+AP1xxoW5xTGjx+Pjz/+GN999x0GDhyIrKws832WEo6IyO6ZhPW3B+Tv74/8/HyY/rD43r25hMDAwBrXFEJUm6OQSbVyQEAANm7ciPj4eEyZMgUTJkzAlStXbNYhIqI6UQehoNfrUVpaWuULNQBkZGSgTZs28Pf3r1G9//3f/8XVq1cRGhr6wH1SY9V5CjqdDmPGjIFer8eMGTMwYMAAJCYmcrRARI8sUWn7k9diYmLQrVs3TJ8+HQaDAS1btkRGRga+/fZbLF261NwuLi4O2dnZOHPmjHnb0KFDMXToULRp0wZOTk44duwYVq1aBV9fX4wcOdJmfa7RyWs+Pj5Yu3YtNm3ahAULFtRonxwRkV2pgxOadTodli5dioULF+Kdd94xL3ORlpaG3r17W3ysn58f/vWvf+Hy5cuorKxE8+bN8Ze//AXjxo2z6clsOvGAn+zXr19HUVERWrVqVeUU7Nr4uvlwKXXseUG8p2/Leyfa6yqpvzjKW2issZC3TmpgubzfvewF8Rwlfr9qIPHDTuYqqUdc5C5At/DnjbV6vGGk5Q/l3/PakKXe6E/igT89GzZsiIYNG8rsCxFR3eHS2Yrsau2jUiFnoafQu/K+XTaQ/MZx1clbOF/mt/uEY69LqzUrfIa0WvUk/vqvONnvcte/ShwqRN+V9438ZD15HxHNhF193NTJ7qNHkZ39KxER1Y3arGn0Z8ZQICJNEpUMBSUMBSLSJu4+UsRQICJNqqNr7DxyGApEpE0MBUUMBSLSJI4UlDEUiEiThLyjw/9UGApEpEkcKShjKBCRJjEUlDEUiEibBFd5VsJQICJN4khBGUOBiDRJmDhSUMJQICJNMhkZCkoYCkSkSdx9pIyhQESaxN1HyuwqFPa7yqnjJPH8df+7ctfg/8xZzjUjAMAR8tbNl3kNhNdyZkurtSFU3jUjCpzlrYrpKvnIlY4V8modqi/veiINJX6bDim3r7PFeDVhZXYVCkREdYUjBWUMBSLSJE40K2MoEJEmcaSgjKFARJokeEazogcKhfPnz+PUqVNwcHBAp06d0KJFC9n9IiKyKR6SqsxiKGzZsgUVFRUYOXIkAODu3bv45z//ic8//xwAIISAg4MDRowYgdTUVNv3lohIEhNHCooshsKaNWvMgQAAixcvRmZmJkaPHo1evXpBCIF9+/Zh3bp1aNGiBf7+97/bvMNERDJw95Eyi6Fw8eJF+Pn5mX/etm0bkpKSMH78ePO2qKgouLi4YMuWLQwFInpk8OgjZRbPzHJ2dkZl5f8/4eTKlSuIjIys1i4qKgqFhYXye0dEZCPCpLP6piUWQyEkJARZWVnmn1u1aoWzZ89Wa5eXl4dGjRrJ7x0RkY2YhM7qm5ZYDIXExERs2rQJ6enpqKioQHJyMhYtWoTMzEyUlZWhrKwMn3/+OdLS0jBw4MC66jMRUa0JobP6piUW5xS6deuG2bNnY9asWViyZAn8/PxQWVmJyZMnV2nXs2dPTJgwwaYdJSKSiWsfKVM9TyE2NhZRUVHYsmULcnJy0KxZM5hMJjRs2BCBgYHQ6/Xo2bNnXfSViEgare0WspZVJ681b968yhFHRESPOpPGJpCtZVfLXGy7lS+lzvOugVLqAEBMo8vSagHApdJm0mrJWyAZqCdxKC1zueuRJ16XViuiY5y0Ws4Ocv90vgiRV+uTHxtKq9XKUdJ69gBGRv8qrZYMHCkos6tQICKqK1qbQLYWQ4GINIkjBWUMBSLSJB58pIyhQESaZDTJvdTunwVDgYg0iStnK2MoEJEmCXBOQQlDgYg0ycRJBUUMBSLSJBNHCooYCkSkSdx9pIyhQESaZGQoKGIoEJEm8egjZQwFItIkhoIyhgIRaRLnFJQxFIhIk7hytjKGAhFpEg9JVWZXoTDHwV9KHdc7lVLqAMDgO6XSagHAdMem0mq5Sjz75oqTvHVgCpzl9UvmNRCyv18nrda5p16SVgsARp92llYrsULeNRCaO96RVqvr12XSagFAba++YpTSiz8fuwoFIqK6YtJxpKCEoUBEmsRVLpQxFIhIk3hIqjKGAhFpEo8+UmZVKBiNRjg6Vr1MfGFhIQoKCuDt7Y2AgACbdI6IyFa4zIUyi4ecVFRU4JVXXkFoaCg6d+6MJUuWAADeffdd6PV6JCQkYPDgwRg7dizu3JF3lAIRka2ZdNbftMTiSGHNmjXYtm0bBg0aBHd3d6xevRpGoxHp6el46aWX0KlTJxw9ehSrVq3CmjVr8OKLL9ZVv4mIaoVzCsoshsJnn32GpKQkTJw4EQAQHR2N8ePHIyUlBcnJyQCAmJgYAMCOHTsYCkT0yKiro49u3ryJd955Bzt37kRpaSn8/f2RnJyMPn36qD723LlzmDNnDg4fPgyTyYTw8HBMmzYN/v5yzulSYnH3UWFhISIjI80/R0ZGQgiBiIiIKu0iIyNx4cIF2/SQiMgG6mr3UUpKCrZv346JEyfi/fffh7+/P1JSUrBv3z6LjysuLsZzzz2HixcvYu7cuVi4cCFKSkowatQoXLp0qXadssDiSMHd3R0Gg8H8873/LyuremZiWVkZGjRoYIPuERHZRl3sPtq3bx8OHDiAtLQ06PV6AL99iT5//jzmzJlj3tOiZNWqVSgtLcUnn3wCb29vAEBYWBj69OmDZcuWYdasWTbps8WRQqdOnbB8+XJcuHABBoMBCxYsgL+/P9asWYOKigoAQHl5OdauXYvAwECbdJCIyBaMOutvD2rXrl3w8PCosqtIp9MhNjYWBQUFOHv27H0fu3v3bkRHR5sDAQAaNmyIp59+Grt27XrwTqmwGAopKSkoKCiAXq9HVFQUDh06hPfeew+XL1+GXq/H2LFj0bdvXxw9ehQJCQk26yQRkWymGtweVF5eHvz9/eHgUPWjNigoCACQm5ur+Lg7d+7g3Llzil+2g4KCUFxcjOLi4lr07P4s7j5q3749tm7dih07dsDZ2RlDhgxBixYtkJ6ejgULFuD06dPw8/PDa6+9hqioKJt0kIjIFmryYR8eHq7aJicnp9o2g8GA1q1bV9vu6elpvl9JSUkJhBDmdr/n5eVlfmzjxo1V+1VTqiev+fn5Yfz48VW2Pf7441i4cKH0zhAR1ZW6OvpIZ2HhPUv3WXO/LdjVMhfNHeScAHfZVE9KHQB4qr6vtFoA4Fsu7yS/487ylkiWyVXIeyM7O8h7i8pc7rrV3mXSagFA5uM9pdWa2TRCvZGVTBL/LR3sbFXSmhxVpDQKsIaXl5fiaKCkpAQAFEcC97brdDrFx97bdm/EIJu8RfSJiB4hdTGn4O/vj/z8fJhMVavcm0u43wE69evXh4+Pj+KcQ25uLho1amSTXUcAQ4GINMpYg9uD0uv1KC0tRVZWVpXtGRkZaNOmjcWT0Pr27YsDBw7gypUr5m0GgwF79uwxH95qC3a1+4iIqK7UxZpGMTEx6NatG6ZPnw6DwYCWLVsiIyMD3377LZYuXWpuFxcXh+zsbJw5c8a8bezYsdi2bRsSExORnJwMJycnLFu2DE5OTjZdPYKhQESaVBcnr+l0OixduhQLFy7EO++8Y17mIi0tDb1797b42CZNmmDDhg2YO3cuXn75ZQgh0KVLF6xfvx6PP/64zfrMUCAiTaqro4/c3d0xc+ZMzJw5875t1q1Tvn5469atsWyZ3IMa1DAUiEiTTLwgpyKGAhFpUm0mkP/MGApEpEm8noIyhgIRaZLWrqhmLYYCEWkS5xSUMRSISJMYCcoYCkSkSZxTUMZQICJNMnKsoIihQESaxJGCMoYCEWkSJ5qV2VUorHRxlFKnrZBTBwCekXf5AwDAlvrO0moFV0orhV8d5f2BdKyQVgpfhMirNfq0vN+9zOsfAMDtwq+l1XojPFVarXKJ36f3+ipfO+BhYSQos6tQICKqK9x9pIyhQESaxIlmZQwFItIkzikoYygQkSYxEpQxFIhIkzhSUGZ1KGRmZuLf//438vLyYDAYAABeXl4ICAhAv3790L9/f+h0XGGKiB4NnGhWphoKZWVlSEpKwtGjR+Ht7Y3AwEAEBwcDAEpKSnD06FFkZmZi7dq1WLFiBTw8PGzeaSKi2hIcKShSDYX58+fj3LlzSE9PR3R0tGKbgwcP4uWXX8b8+fPx+uuvS+8kEZFsPPpImYNag927d+O//uu/7hsIABAVFYUpU6Zg9+7dUjtHRGQrphrctER1pHDz5k00a9ZMtZC3tzdu3rwppVNERLZmEhwpKFEdKQQHB2Pz5s2qhTZv3myeayAisneiBjctUR0pTJgwAUlJSRg2bBiGDBmCgIAAeHp6QqfTwWAwIDc3F9u3b8eZM2ewfPnyuugzEVGt8ZBUZaqh0L17d6xatQrz58/HW2+9VeWwU/F/w6+OHTti5cqViIyMtF1PiYgk4tFHyqw6T6Fbt274+OOPUVRUpHiegre3t007SUQkWyVDQZFOCPuZbTkT/KyUOj9dl7dE78euEtenBtC/vJ60WncknizYzCjvdR6qL2/p8tOQd/DCc+Wu0mo1d5S7pvp2ZzdptVJz3pBWa2+HV6XVmqo7L60WAJy4dKBWjx/uO9jqth//sq1Wz/UoUZ1ottb+/fvRp08fWeWIiGyKh6Qqk7b20e3bt1FYWCirHBGRTdnRThK7ohoKR44csapQXl5erTtDRFRXePSRMtVQiIuLs2qhOyEEF8QjokcGl7lQphoKrq6uiI6ORmxsrMV2x44dQ3p6urSOERHZEkcKylRDoV27dqioqEDfvn0ttjMajdI6RURka5xTUKZ69FH79u3xww8/WFWMv2QielTw6CNlqiOFhIQE9OvXT7XQM888gx9//FFKp4iIbI1nNCtTDQVvb2+esUxEfzqcU1DGazQTkSYZhdZ2DFmHoUBEmsTdR8oYCkSkSbzIjjKGAhFpEiNBGUOBiDSJE83KGApEpEkMBWV2FQpHShtLqdOhXpmUOgDgCBdptQCgXOL6UI4S39Qn68l7KzSUeFBHK0f7vAaCSchd56tc4ilSMq+B8NSpt6TVcgsdK62WDDz6SJldhQIRUV3h0UfKGApEpElclkcZQ4GINIlzCsoYCkSkSRwpKGMoEJEmGTW3/ql1VJfOvicvLw9ff/01fv31V8X7r127hoyMDGkdIyKyJZMQVt+0RHWkcPfuXUyaNAlfffUVAECn02HIkCGYMWMGGjRoYG53/vx5vPrqqxg6dKjtektEJAmPPlKmGgobNmzA3r17kZycjE6dOuHQoUNYv349fvzxR6xatQqNGjWqi34SEUmltRGAtVR3H23duhUJCQlISUlBTEwMpk2bhg0bNuDKlSuIj4/H1atX66KfRERSiRr8pyWqoXDu3DlERkZW2RYSEoINGzagrKwMo0aNQlFRkc06SERkC5xTUKYaCm5ubrh161a17b6+vli/fj3Ky8sRFxeHixcv2qSDRES2YBQmq29aohoKfn5+yM7OVrzPx8cHH374ISorKzF9+nTpnSMishXuPlKmGgpRUVH47LPPcOeO8mJiPj4+WLduHRo3lrOYHRFRXRDCZPVNS1SPPoqPj4der7fY5oknnsDmzZtx9uxZaR0jIrIlLnOhTCfs6Fzv4b6DpdQpM92VUgcANkbcllYLAFK/9ZZWywXylm9uJuSd3P7knUpptcKjlU+WfBBdv5a3pLqDxCXQAWCvv6e0WgN+krdEuJtjPWm19p9YJa0WADg38avV41s16mR123PXvqvVc9XU1atXMX/+fOzduxfl5eVo3749pk6diieffFL1sa+88gq2bt1abXtoaCg2b96s+nhpnwT79+/HrFmzzCe5ERHZM3sdKZSXl+OFF17ArVu3kJqaCi8vL6xduxYvvPACNm7ciPbt26vWcHNzw+rVq6ts+/3JxpZIC4Xbt2+jsLBQVjkiIpsymuxzruDjjz9GXl4ePv30U3To0AEAEBERgWeffRYLFy7EypUrVWs4OjoiLCzsgZ5fNRSOHDliVaG8vLwH6gAR0cNgr0cV7d69G4GBgeZAAAAXFxcMGjQIK1aswI0bN+Du7m6z51cNhbi4OOis2H8qhLCqHRGRPbCj6dQq8vLy0K1bt2rbg4KCYDQaUVBQgJCQEIs1bt26hejoaFy/fh3NmzfHM888g/Hjx1u1C0k1FFxdXREdHY3Y2FiL7Y4dO4b09HTVJyQisgc1mVMIDw9XbZOTk1Ob7pgZDAZ4elY/8ODetuvXr1t8fHBwMIKDgxEYGAij0YgDBw5g3bp1yMnJwUcffQRnZ2eLj1cNhXbt2qGiogJ9+/a12M5oNKqVIiKyG3UxUjh8+DDi4+Otanvw4EHzAqOW9rqo7ZF54YUXqvzcs2dPtGnTBqmpqfjiiy8wZMgQi49XDYX27dsjMzNTrRkA+x2OERH9UU0mmh90FODn54e33nrLqrb35gm8vLxgMBiq3V9SUmK+v6YGDx6M1157DcePH699KCQkJKBfv36qT/rMM8/gxx9/tL6XREQPUV0cktq0aVMMGzasRo/x9/dHbm5ute1nzpyBo6Mj/Pxqfn7GvS/sDg7q11VTbeHt7Y2IiIgad4KIyJ4JIay+1SW9Xo/c3FycPn3avK2iogI7duxAVFTUAx15tG3bNphMJoSGhqq25TWaiUiT7HVJ7OHDh2PDhg1ISUnBlClT4OnpiQ8//BCXL1/GokWLqrTt3bs3ACArKwsAcPHiRbz88ssYOHAgWrVqBaPRiIMHD2L9+vXo3LkzBgwYoPr8DAUi0iR7PU+hXr16WLt2LebNm4f//u//Ni9zkZ6ejo4dO1p8rLu7Oxo2bIiVK1fi6tWrEELAx8cHiYmJSExMhJOT+kc+Q4GINMleRwrAb3MR8+fPV213b4Rwj6enJ9LS0mr13AwFItIkk8aWxLYWQ4GINImH0CtjKBCRJjEUlNnV9RSIiOjhUj+TgYiINIOhQEREZgwFIiIyYygQEZEZQ4GIiMwYCkREZMZQICIiM4YCERGZMRSIiMiMoUBERGYMBSIiMmMoEBGRGUOBiIjMGApERGTGUPiTq6iowMKFC3HhwoWH3RUiegTY/UV28vPzkZeXB4PBAJ1OB09PTwQEBKBt27YPu2s2de3aNXh5ecHBoXa5XV5ejhUrVqBXr15o2bKlpN7V3vnz53Hq1Ck4ODigU6dOaNGihepjiouL0bhxY6n9MBqNcHR0rLKtsLAQBQUF8Pb2RkBAQI3qCSFw/vx5XL9+HTqdDt7e3vD29pbZZSKbstuL7Ozfvx9z585FQUFBtSsk6XQ6tGnTBtOmTUNMTIzU55w1axa++uqr+7Y5efIkVlTvzF0AAA0eSURBVK5ciaKiIgQGBmL06NHw8/Or0ub06dNISUmxWAcAvvjiC2zevBlOTk4YPXo0unfvji+++AKzZs1CaWkpHnvsMUycOBHPPfecxTqxsbH3vc9oNCI3Nxe+vr5wc3ODTqfDp59+arHeTz/9hCeeeAIuLi5VXveiRYtw/Phx6HQ6hIWFYcqUKWjfvr3FWlu2bEFFRQVGjhwJALh79y7++c9/4vPPPwfw24eog4MDRowYgdTUVIu12rVrh9DQUAwfPhzPPvssGjRoYLG9JRUVFZg5cyY+//xzODs7Y8yYMRg/fjzeffddfPDBBzCZfrt+b3R0NN577z3Ur1/fYr3z589j8eLF2L17N+7cuVPlvscffxxxcXGIj4+vUchnZmbi3//+t/lLEQB4eXkhICAA/fr1Q//+/aHT6Wr4ypUVFhYiOzsbQ4cOVW2bl5eHS5cuwd/fXzHMr127hv3796vWMhqNOHbsGJydnREaGgrgty8xGzduxM8//wxfX18MHz4c7u7uD/ai6IHYZShkZWUhJSUFYWFhiI2NRVBQEDw9PQEAJSUlOHPmDDIyMnDs2DGkpaWhd+/eUp73yy+/xD/+8Q+cPn1a8f7c3FwMHz4c9evXh6+vL/Ly8iCEwKxZs6r8AZw4cQJ/+9vf7lsH+C2AEhMT0bx5c3h4eODnn3/GokWLMHHiRPTo0QMhISE4fPgwsrOzsXz5covhFxwcjCZNmqBNmzbV7jMajTh69CiCg4Ph4eEBAFi3bp3F30O7du2wadMmhISEAABOnTqFESNGwM3NDd27d4cQAt988w0qKiqwZcsW+Pv737fWwIEDMXLkSHOwvf3221i9ejXi4+PRq1cvCCGwb98+rFu3DpMmTcLf//53i6+zfv36uHPnDlxdXdG/f38MHz4cXbp0sfh6lHzwwQdYtGgRBg0aBHd3d2RkZCA+Ph7p6elITExEp06dcPToUaxatQopKSl48cUX71srNzcXo0aNgk6nQ5cuXeDi4oKTJ0+iqKgIY8aMgcFgQGZmJkJDQ7F8+XI4Oztb7FtZWRmSkpJw9OhReHt7IzAwsMr7Pzc3F0VFRQgLC8OKFSvM/661ofbeB34L9EmTJpm/7Oh0OgwZMgQzZsyoEtDWvP8NBgOef/555ObmAgAiIiKwbNkyjB49GidOnICTkxMqKyvh6+uLTZs2wcvLq9avkawk7NCwYcPEtGnTVNtNmzZNxMbGqrbLzs626rZkyRIRHBx83zopKSli2LBhorS0VAghRHFxsRg3bpwIDg4W69evN7c7fvy4xTpCCBEfHy8SEhJEZWWlEEKId999V4SHh4vJkydXaTd27FgxduxYi7UWL14sQkJCxBtvvCFu3LhR5b6SkhIRFBQksrOzLdb4vaCgIHHixAnzz0lJSaJv377iypUr5m2XL18WvXv3rtbfPwoNDRUHDx40/9yrVy+xePHiau3efvtt0a9fP9V+5eTkiC+//FIkJiaK9u3bi+DgYNGvXz/x/vvvi6KiImtfohgwYIBYtGiR+eddu3aJ4OBgkZaWVqXdwoULxaBBgyzWSkhIEMOHDze/L4QQ4u7du+KVV14Rf/vb34QQQpw/f15ERESIDz74QLVvqamponv37uKbb765b5sDBw6IHj16iNTUVNV61ti5c6fqe3b16tWiQ4cOYsmSJWLv3r1izpw5omPHjmLo0KGiuLjY3M6a9//cuXNFeHi4+Oijj0RmZqZ49tlnRVJSkujZs6f4/vvvhclkEtnZ2aJbt25i3rx5Ul4jWccuQyEkJEQcOnRItd2hQ4dESEiIarugoCARHByservX7n569eolMjMzq22fM2eOCA4OFunp6UII6/4oIiMjxa5du8w/FxUViaCgILFnz54q7Xbs2CG6deum+hpzc3PFf/7nf4qYmBjx1VdfmbeXlpbWOhS6dOkiNm/eXK3dv/71L9G9e3eLtcLDw8XXX39t/rldu3aKfTlw4IDo2LFjjfp1+fJl8f7774v+/fuLoKAg0aFDB5GUlCR27dplDtv7CQsLq/IeKysrU/w9HThwQISFhVms9eSTT1b5t7ynsLBQBAcHi19//VUIIcTKlSvFgAEDLNYSQoioqCiRkZGh2m7r1q0iKirKYpu4uDirboMGDVJ9zw4ePLhKkAohxIkTJ0T37t3FwIEDzV8arHn/9+vXz/z3IoQQOTk5IigoqMqXKyGEWLp0qXj22Wct1iK57HKi2cPDAxcvXlRtd+HCBauGzq6uroiOjra47x0Ajh07hvT09PveX1JSgiZNmlTbPm3aNLi4uGDevHmoqKhAZGSkap9u3rxp3iUAwDyB+sf6TZs2xY0bN1TrBQQEYOPGjVi9ejWmTJmCnj17IjU1VXVfuDVu375dbd4EANq2bWve130/ISEhyMrKQo8ePQAArVq1wtmzZ9G1a9cq7fLy8tCoUaMa9atp06ZITExEYmIicnJy8Mknn+DLL7/E3r170bhxY3zzzTf3fay7u3uVvt/7/7KysirtysrKVOcuTCaT4lyBg4MDhBDmf7/27dvj3XffVX1dN2/eRLNmzVTbeXt74+bNmxbbZGdno0mTJorv29+7deuW6vOdO3eu2ns7JCQEGzZsQHx8PEaNGoW1a9eq1gGAS5cuVZmPuvf/wcHBVdp17NgRy5Yts6omyWGXodC/f3/MmzcPnp6e6NOnj2KbrKwsLFiwAAMHDlSt165dO1RUVKBv374W2xmNRov3N2/eHPn5+QgPD69236RJk+Dg4IBFixbhqaeeUu2Tl5cXrly5Yv7ZwcEB/fr1q7bv9Pr161ZPtOl0OowZMwZ6vR4zZszAgAEDkJiY+ECTkTk5Oeb+NWzYECUlJdXalJaWws3NzWKdxMREjBkzBi1btsSoUaOQnJyM2bNnw8vLyxwU+/btQ1paGoYPH17jft4THh6O8PBwzJw5Ezt27MDWrVsttu/UqROWL1+ODh06wN3dHQsWLIC/vz/WrFmDHj16wMXFBeXl5Vi7di0CAwNVa61evdr8uHtWrFiBBg0awNfXF8Bvk9uurq6qryU4OBibN29GVFSUxXabN2+u9iH6Rz4+PujatSvefPNNi+127tyJSZMmWWzj5uamGB6+vr5Yv3494uPjERcXh3/84x8W6wAw/35//zOAal9inJycqh0dRrZll6EwefJk5OfnIzk5GY899hjatm0LT09P6HQ6GAwGFBQUoLS0FBEREapvZOC3byGZmZlWPbewMO/euXNnZGZm4q9//avi/RMnToSjoyPS0tJUP4gDAgJw7NgxDBgwAMBvH+iLFy+u1u7UqVNo3bq1VX2/x8fHB2vXrsWmTZuwYMECi6/pfubPn1/lcdnZ2dUm9E+dOoUnnnjCYp1u3bph9uzZmDVrFpYsWQI/Pz9UVlZi8uTJVdr17NkTEyZMqHE//8jV1RXDhw9XDZiUlBSMGDECer0eAODp6YlNmzYhKSkJer0e/v7+yM3NxdWrVy2OHoHf/t2ff/559O3bF5GRkXBxccGJEydw9uxZTJkyxTyx/N1331l1iOuECROQlJSEYcOGYciQIQgICKjy/s/NzcX27dtx5swZLF++3GKtDh064IcfflB9Tmu+OPj5+SE7OxtPP/10tft8fHzw4Ycf4vnnn8f06dNVa7Vo0QI///wzevXqBQBwdHTE9u3bzQF6z4ULF6QfhkyW2eXRR/fs27cPu3fvRl5eHq5fvw7gt2+t/v7+0Ov1Vh+OWlRUhF9++QURERG16s/BgwexceNGvPbaaxZ3daSnp2PPnj0Wj/I5duwYSktLVV/D1KlT0blzZ/MhnTV1/fp1FBUVoVWrVqrf6u/Jzs6uts3DwwPt2rWr1regoCAkJCSo1rx06RK2bNmCnJwcXL58GSaTCQ0bNkRgYCD0ej169uypWuPVV1/FuHHj4OPjY9XrUFNQUIAdO3bA2dkZQ4YMQYsWLVBYWIgFCxbg9OnTaNasGeLi4lRHmABw/PhxLF68GMePH8fdu3fh7++PUaNG4T/+4z/MbX788Ue4uLgo7or7o8OHD2P+/Pn4/vvvq3xg3/tz7dixI6ZOnaq6qzIjIwPbtm1TDbb8/HxkZmYiJSXlvm2WLl2K9evXIysr6767JS9evIjnn38eFy9etHj00ZtvvombN2/if/7nfyz2KzExER4eHnj77bcttiN57DoUiLSuqKhI8TyFh3FC3I0bN/Drr7/Cx8fH4lzVtWvXcPbs2Vp/CQN+243ZokUL1REpycNQICIiM659RPSI2r9//30PxGAtelAMBaJH1O3bt1FYWMhaJJVdHn1EpGVHjhyxql1eXh5rkXScUyCyM8HBwVYdIiqEgE6ns3iUjxZqkVwcKRDZGVln4GulFsnFUCCyM7LOwNdKLZKLE81EdqZ9+/ZWnYUMWD4DXyu1SC7OKRDZGVln4GulFsnFUCAiIjPuPiIiIjOGAhERmTEUiIjIjKFARERmDAUiIjL7f1z+zHfpqDaZAAAAAElFTkSuQmCC\n", "text/plain": [ "<Figure size 432x288 with 2 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.heatmap(coef_mat)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.053062, "end_time": "2021-08-07T19:11:43.627229", "exception": false, "start_time": "2021-08-07T19:11:43.574167", "status": "completed" }, "tags": [] }, "source": [ "### How to deal with multicollinearity?\n", "\n", "1. Using Principal Component Analysis to select the most important variables\n", "2. Remove one of the columns that contribute to multicollinearity\n", "3. Create interaction variables from the correlated variables" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.052981, "end_time": "2021-08-07T19:11:43.733919", "exception": false, "start_time": "2021-08-07T19:11:43.680938", "status": "completed" }, "tags": [] }, "source": [ "# III. Scaling" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.053314, "end_time": "2021-08-07T19:11:43.841272", "exception": false, "start_time": "2021-08-07T19:11:43.787958", "status": "completed" }, "tags": [] }, "source": [ "#### 1. Display the minimum and maximum of each column." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.328443Z", "iopub.status.busy": "2021-08-07T19:11:05.328009Z", "iopub.status.idle": "2021-08-07T19:11:05.337498Z", "shell.execute_reply": "2021-08-07T19:11:05.336516Z", "shell.execute_reply.started": "2021-08-07T19:11:05.328378Z" }, "papermill": { "duration": 0.066865, "end_time": "2021-08-07T19:11:43.961770", "exception": false, "start_time": "2021-08-07T19:11:43.894905", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "max:\n", "age 77.0\n", "sex 1.0\n", "cp 3.0\n", "trestbps 200.0\n", "chol 360.0\n", "fbs 1.0\n", "restecg 2.0\n", "thalach 202.0\n", "exang 1.0\n", "oldpeak 6.2\n", "slope 2.0\n", "ca 4.0\n", "thal 3.0\n", "target 1.0\n", "dtype: float64\n", "\n", "min:\n", "age 29.0\n", "sex 0.0\n", "cp 0.0\n", "trestbps 94.0\n", "chol 126.0\n", "fbs 0.0\n", "restecg 0.0\n", "thalach 71.0\n", "exang 0.0\n", "oldpeak 0.0\n", "slope 0.0\n", "ca 0.0\n", "thal 0.0\n", "target 0.0\n", "dtype: float64\n" ] } ], "source": [ "print(\"max:\\n\"+str(df_1.max()))\n", "print()\n", "print(\"min:\\n\"+str(df_1.min()))" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.053151, "end_time": "2021-08-07T19:11:44.068798", "exception": false, "start_time": "2021-08-07T19:11:44.015647", "status": "completed" }, "tags": [] }, "source": [ "#### 2 Find the max of 'chol'" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.339531Z", "iopub.status.busy": "2021-08-07T19:11:05.339206Z", "iopub.status.idle": "2021-08-07T19:11:05.346877Z", "shell.execute_reply": "2021-08-07T19:11:05.346066Z", "shell.execute_reply.started": "2021-08-07T19:11:05.339462Z" }, "papermill": { "duration": 0.066124, "end_time": "2021-08-07T19:11:44.189312", "exception": false, "start_time": "2021-08-07T19:11:44.123188", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "360" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1.chol.max()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.053419, "end_time": "2021-08-07T19:11:44.297025", "exception": false, "start_time": "2021-08-07T19:11:44.243606", "status": "completed" }, "tags": [] }, "source": [ "#### 3. Find the min of 'chol'" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.348655Z", "iopub.status.busy": "2021-08-07T19:11:05.348133Z", "iopub.status.idle": "2021-08-07T19:11:05.360977Z", "shell.execute_reply": "2021-08-07T19:11:05.359798Z", "shell.execute_reply.started": "2021-08-07T19:11:05.348614Z" }, "papermill": { "duration": 0.065726, "end_time": "2021-08-07T19:11:44.416838", "exception": false, "start_time": "2021-08-07T19:11:44.351112", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "126" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_1.chol.min()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.054664, "end_time": "2021-08-07T19:11:44.526958", "exception": false, "start_time": "2021-08-07T19:11:44.472294", "status": "completed" }, "tags": [] }, "source": [ "#### 4. Perform min-max scaling on 'chol'" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.362641Z", "iopub.status.busy": "2021-08-07T19:11:05.362169Z", "iopub.status.idle": "2021-08-07T19:11:05.380507Z", "shell.execute_reply": "2021-08-07T19:11:05.379392Z", "shell.execute_reply.started": "2021-08-07T19:11:05.362599Z" }, "papermill": { "duration": 0.075895, "end_time": "2021-08-07T19:11:44.661177", "exception": false, "start_time": "2021-08-07T19:11:44.585282", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[126.]\n", "[360.]\n" ] }, { "data": { "text/plain": [ "array([[0.45726496],\n", " [0.52991453],\n", " [0.33333333],\n", " [0.47008547],\n", " [0.97435897],\n", " [0.28205128],\n", " [0.71794872],\n", " [0.58547009],\n", " [0.31196581],\n", " [0.17948718],\n", " [0.48290598],\n", " [0.63675214],\n", " [0.5982906 ],\n", " [0.36324786],\n", " [0.67094017],\n", " [0.3974359 ],\n", " [0.91452991],\n", " [0.42735043],\n", " [0.51709402],\n", " [0.48290598],\n", " [0.46153846],\n", " [0.45726496],\n", " [0.42735043],\n", " [0.5 ],\n", " [0.31196581],\n", " [0.75213675],\n", " [0.36752137],\n", " [0.20940171],\n", " [0.3034188 ],\n", " [0.30769231],\n", " [0.21794872],\n", " [0.3974359 ],\n", " [0.62820513],\n", " [0.37179487],\n", " [0.21794872],\n", " [0.76068376],\n", " [0.45299145],\n", " [0.61111111],\n", " [1. ],\n", " [0.77777778],\n", " [0.50854701],\n", " [0.35042735],\n", " [0.58974359],\n", " [0.83333333],\n", " [0.85042735],\n", " [0.46581197],\n", " [0.55982906],\n", " [0.38461538],\n", " [0.46153846],\n", " [0.55555556],\n", " [0.75213675],\n", " [0.44871795],\n", " [0.06410256],\n", " [0.53846154],\n", " [0.32051282],\n", " [0.41025641],\n", " [0.57264957],\n", " [0.23931624],\n", " [0.75641026],\n", " [0.59401709],\n", " [0.78205128],\n", " [0.25641026],\n", " [0.32905983],\n", " [0.36324786],\n", " [0.24358974],\n", " [0.41025641],\n", " [0.46153846],\n", " [0.4017094 ],\n", " [0.35470085],\n", " [0.56410256],\n", " [0.43162393],\n", " [0.33333333],\n", " [0.57692308],\n", " [0.37179487],\n", " [0.52991453],\n", " [0.50854701],\n", " [0.40598291],\n", " [0.33760684],\n", " [0.48717949],\n", " [0.52991453],\n", " [0.77777778],\n", " [0.82051282],\n", " [0.73504274],\n", " [0.59401709],\n", " [0.64529915],\n", " [0.3034188 ],\n", " [0.37606838],\n", " [0.52136752],\n", " [0.55128205],\n", " [0.34615385],\n", " [0.41452991],\n", " [0.69230769],\n", " [0.14529915],\n", " [0.42735043],\n", " [0.45726496],\n", " [0.80769231],\n", " [0.51282051],\n", " [0.5042735 ],\n", " [0.61538462],\n", " [0.29487179],\n", " [0.48717949],\n", " [0.2991453 ],\n", " [0.36324786],\n", " [0.46153846],\n", " [0.47008547],\n", " [0.5042735 ],\n", " [0.54700855],\n", " [0.85042735],\n", " [0. ],\n", " [0.7991453 ],\n", " [0.36324786],\n", " [0.58119658],\n", " [0.38034188],\n", " [0.37606838],\n", " [0.28632479],\n", " [0.33333333],\n", " [0.5 ],\n", " [0.75641026],\n", " [0.61965812],\n", " [0.60683761],\n", " [0.6025641 ],\n", " [0.31196581],\n", " [0.35897436],\n", " [0.33333333],\n", " [0.64529915],\n", " [0.2991453 ],\n", " [0.61111111],\n", " [0.32051282],\n", " [0.61965812],\n", " [0.72222222],\n", " [0.46581197],\n", " [0.76923077],\n", " [0.61111111],\n", " [0.22222222],\n", " [0.35042735],\n", " [0.32051282],\n", " [0.58547009],\n", " [0.72222222],\n", " [0.75641026],\n", " [0.35470085],\n", " [0.41452991],\n", " [0.3034188 ],\n", " [0.50854701],\n", " [0.4957265 ],\n", " [0.48717949],\n", " [0.42735043],\n", " [0.23076923],\n", " [0.43589744],\n", " [0.0982906 ],\n", " [0.43162393],\n", " [0.64957265],\n", " [0.4017094 ],\n", " [0.3034188 ],\n", " [0.54273504],\n", " [0.28205128],\n", " [0.4017094 ],\n", " [0.40598291],\n", " [0.48717949],\n", " [0.92307692],\n", " [0.13247863],\n", " [0.20940171],\n", " [0.20940171],\n", " [0.68376068],\n", " [0.44017094],\n", " [0.60683761],\n", " [0.54700855],\n", " [0.32905983],\n", " [0.55555556],\n", " [0.44017094],\n", " [0.67521368],\n", " [0.41880342],\n", " [0.34188034],\n", " [0.17521368],\n", " [0.44444444],\n", " [0.89316239],\n", " [0.21794872],\n", " [0.64102564],\n", " [0.97008547],\n", " [0.42307692],\n", " [0.87179487],\n", " [0.44444444],\n", " [0.5 ],\n", " [0.7008547 ],\n", " [0.54273504],\n", " [0.5982906 ],\n", " [0.45726496],\n", " [0.1965812 ],\n", " [0.76495726],\n", " [0.38461538],\n", " [0.26495726],\n", " [0.66666667],\n", " [0.25213675],\n", " [0.85470085],\n", " [0.44871795],\n", " [0.54700855],\n", " [0.6025641 ],\n", " [0.52136752],\n", " [0.3034188 ],\n", " [0.56410256],\n", " [0.61538462],\n", " [0.63247863],\n", " [0.16239316],\n", " [0.55128205],\n", " [0.48290598],\n", " [0.56410256],\n", " [0.26495726],\n", " [0.21794872],\n", " [0.44017094],\n", " [0.57264957],\n", " [0.3974359 ],\n", " [0.77350427],\n", " [0.52564103],\n", " [0.91880342],\n", " [0.58547009],\n", " [0.87179487],\n", " [0.54700855],\n", " [0.55555556],\n", " [0.38888889],\n", " [0.66666667],\n", " [0.69230769],\n", " [0.48290598],\n", " [0.20512821],\n", " [0.66239316],\n", " [0.30769231],\n", " [0.69230769],\n", " [0.78205128],\n", " [0.5 ],\n", " [0.6965812 ],\n", " [0.6965812 ],\n", " [0.51282051],\n", " [0.83760684],\n", " [0.73931624],\n", " [0.74358974],\n", " [0.71367521],\n", " [0.76068376],\n", " [0.66666667],\n", " [0.61111111],\n", " [0.52564103],\n", " [0.36752137],\n", " [0.63247863],\n", " [0.24786325],\n", " [0.63247863],\n", " [0.51282051],\n", " [0.67094017],\n", " [0.54700855],\n", " [0.73504274],\n", " [0.51709402],\n", " [0.71794872],\n", " [0.73931624],\n", " [0.62820513],\n", " [0.78205128],\n", " [0.56837607],\n", " [0.31623932],\n", " [0.5042735 ],\n", " [0.44871795],\n", " [0.43589744],\n", " [0.44444444],\n", " [0.66666667],\n", " [0.61111111],\n", " [0.34188034],\n", " [0.36752137],\n", " [0.85897436],\n", " [0.0982906 ],\n", " [0.68376068],\n", " [0.67094017],\n", " [0.52564103],\n", " [0.46153846],\n", " [0.47435897],\n", " [0.46153846],\n", " [0.63675214],\n", " [0.36752137],\n", " [0.39316239],\n", " [0.57692308],\n", " [0.82478632],\n", " [0.17094017],\n", " [0.80769231],\n", " [0.33333333],\n", " [0.39316239],\n", " [0.41452991],\n", " [0.34615385],\n", " [0.79059829],\n", " [0.33333333],\n", " [0.45299145],\n", " [0.89316239],\n", " [0.33760684],\n", " [0.32905983],\n", " [0.82051282],\n", " [0.42307692],\n", " [0.36752137],\n", " [0.18376068],\n", " [0.26068376],\n", " [0.3034188 ],\n", " [0.21367521],\n", " [0.49145299],\n", " [0.58974359],\n", " [0.28632479],\n", " [0.02136752],\n", " [0.47008547]])" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.preprocessing import MinMaxScaler\n", "scaler = MinMaxScaler()\n", "cholarr = df_1.chol.to_numpy().reshape(-1,1)\n", "scaler.fit(cholarr)\n", "print(scaler.data_min_)\n", "print(scaler.data_max_)\n", "scaler.transform(cholarr)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.059601, "end_time": "2021-08-07T19:11:44.776087", "exception": false, "start_time": "2021-08-07T19:11:44.716486", "status": "completed" }, "tags": [] }, "source": [ "#### 5. Find the mean of 'age'" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.382112Z", "iopub.status.busy": "2021-08-07T19:11:05.381789Z", "iopub.status.idle": "2021-08-07T19:11:05.387397Z", "shell.execute_reply": "2021-08-07T19:11:05.386380Z", "shell.execute_reply.started": "2021-08-07T19:11:05.382066Z" }, "papermill": { "duration": 0.0657, "end_time": "2021-08-07T19:11:44.897757", "exception": false, "start_time": "2021-08-07T19:11:44.832057", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "age_mean = df_1.age.mean()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.05613, "end_time": "2021-08-07T19:11:45.010067", "exception": false, "start_time": "2021-08-07T19:11:44.953937", "status": "completed" }, "tags": [] }, "source": [ "#### 6. Find the standard deviation of 'age'" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.388825Z", "iopub.status.busy": "2021-08-07T19:11:05.388561Z", "iopub.status.idle": "2021-08-07T19:11:05.400124Z", "shell.execute_reply": "2021-08-07T19:11:05.398718Z", "shell.execute_reply.started": "2021-08-07T19:11:05.388787Z" }, "papermill": { "duration": 0.064792, "end_time": "2021-08-07T19:11:45.130804", "exception": false, "start_time": "2021-08-07T19:11:45.066012", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "age_std = df_1.age.std()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.055405, "end_time": "2021-08-07T19:11:45.243781", "exception": false, "start_time": "2021-08-07T19:11:45.188376", "status": "completed" }, "tags": [] }, "source": [ "#### 7. Verify the mean and standard deviation by showing the distribution of 'age.'" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.402228Z", "iopub.status.busy": "2021-08-07T19:11:05.401902Z", "iopub.status.idle": "2021-08-07T19:11:05.648174Z", "shell.execute_reply": "2021-08-07T19:11:05.647280Z", "shell.execute_reply.started": "2021-08-07T19:11:05.402178Z" }, "papermill": { "duration": 0.308731, "end_time": "2021-08-07T19:11:45.608194", "exception": false, "start_time": "2021-08-07T19:11:45.299463", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fb2283304d0>]],\n", " dtype=object)" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_1.hist(\"age\")" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.056689, "end_time": "2021-08-07T19:11:45.721326", "exception": false, "start_time": "2021-08-07T19:11:45.664637", "status": "completed" }, "tags": [] }, "source": [ "#### 8. Perform Z-standardization on 'age.'" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.649643Z", "iopub.status.busy": "2021-08-07T19:11:05.649372Z", "iopub.status.idle": "2021-08-07T19:11:05.654510Z", "shell.execute_reply": "2021-08-07T19:11:05.653659Z", "shell.execute_reply.started": "2021-08-07T19:11:05.649608Z" }, "papermill": { "duration": 0.065441, "end_time": "2021-08-07T19:11:45.843960", "exception": false, "start_time": "2021-08-07T19:11:45.778519", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "agestd = (df_1.age - age_mean)/age_std" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.056461, "end_time": "2021-08-07T19:11:45.957026", "exception": false, "start_time": "2021-08-07T19:11:45.900565", "status": "completed" }, "tags": [] }, "source": [ "# IV. Logistic Regression Model" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.656268Z", "iopub.status.busy": "2021-08-07T19:11:05.655904Z", "iopub.status.idle": "2021-08-07T19:11:05.666351Z", "shell.execute_reply": "2021-08-07T19:11:05.665312Z", "shell.execute_reply.started": "2021-08-07T19:11:05.656174Z" }, "papermill": { "duration": 0.064761, "end_time": "2021-08-07T19:11:46.079259", "exception": false, "start_time": "2021-08-07T19:11:46.014498", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.linear_model import LogisticRegression\n", "import scipy" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.057689, "end_time": "2021-08-07T19:11:46.195255", "exception": false, "start_time": "2021-08-07T19:11:46.137566", "status": "completed" }, "tags": [] }, "source": [ "#### 1. Create a logistic regression model" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.667825Z", "iopub.status.busy": "2021-08-07T19:11:05.667583Z", "iopub.status.idle": "2021-08-07T19:11:05.677520Z", "shell.execute_reply": "2021-08-07T19:11:05.676540Z", "shell.execute_reply.started": "2021-08-07T19:11:05.667793Z" }, "papermill": { "duration": 0.06461, "end_time": "2021-08-07T19:11:46.317618", "exception": false, "start_time": "2021-08-07T19:11:46.253008", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "model = LogisticRegression()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.057082, "end_time": "2021-08-07T19:11:46.432030", "exception": false, "start_time": "2021-08-07T19:11:46.374948", "status": "completed" }, "tags": [] }, "source": [ "#### 2. Set X to be the cholestrol column and Y to be the target column." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.679348Z", "iopub.status.busy": "2021-08-07T19:11:05.678993Z", "iopub.status.idle": "2021-08-07T19:11:05.689094Z", "shell.execute_reply": "2021-08-07T19:11:05.687996Z", "shell.execute_reply.started": "2021-08-07T19:11:05.679297Z" }, "papermill": { "duration": 0.06611, "end_time": "2021-08-07T19:11:46.556649", "exception": false, "start_time": "2021-08-07T19:11:46.490539", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "x = df_1.chol\n", "y = df_1.target" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.057085, "end_time": "2021-08-07T19:11:46.670712", "exception": false, "start_time": "2021-08-07T19:11:46.613627", "status": "completed" }, "tags": [] }, "source": [ "#### 3. Perform train-test-splot by 20%" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.692608Z", "iopub.status.busy": "2021-08-07T19:11:05.692230Z", "iopub.status.idle": "2021-08-07T19:11:05.700866Z", "shell.execute_reply": "2021-08-07T19:11:05.700031Z", "shell.execute_reply.started": "2021-08-07T19:11:05.692552Z" }, "papermill": { "duration": 0.070353, "end_time": "2021-08-07T19:11:46.799103", "exception": false, "start_time": "2021-08-07T19:11:46.728750", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2)" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.057751, "end_time": "2021-08-07T19:11:46.914512", "exception": false, "start_time": "2021-08-07T19:11:46.856761", "status": "completed" }, "tags": [] }, "source": [ "#### 4. Fit the model to the train data." ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.706973Z", "iopub.status.busy": "2021-08-07T19:11:05.706507Z", "iopub.status.idle": "2021-08-07T19:11:05.730731Z", "shell.execute_reply": "2021-08-07T19:11:05.729994Z", "shell.execute_reply.started": "2021-08-07T19:11:05.706926Z" }, "papermill": { "duration": 0.078335, "end_time": "2021-08-07T19:11:47.049976", "exception": false, "start_time": "2021-08-07T19:11:46.971641", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n", " intercept_scaling=1, l1_ratio=None, max_iter=100,\n", " multi_class='auto', n_jobs=None, penalty='l2',\n", " random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n", " warm_start=False)" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.fit(x_train.to_numpy().reshape(-1,1), y_train.to_numpy().reshape(-1,1))" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.732493Z", "iopub.status.busy": "2021-08-07T19:11:05.732043Z", "iopub.status.idle": "2021-08-07T19:11:05.737952Z", "shell.execute_reply": "2021-08-07T19:11:05.737107Z", "shell.execute_reply.started": "2021-08-07T19:11:05.732454Z" }, "papermill": { "duration": 0.069272, "end_time": "2021-08-07T19:11:47.177732", "exception": false, "start_time": "2021-08-07T19:11:47.108460", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2.0551955] [[-0.00811326]]\n" ] } ], "source": [ "print(model.intercept_, model.coef_)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.739650Z", "iopub.status.busy": "2021-08-07T19:11:05.739201Z", "iopub.status.idle": "2021-08-07T19:11:05.749727Z", "shell.execute_reply": "2021-08-07T19:11:05.748629Z", "shell.execute_reply.started": "2021-08-07T19:11:05.739609Z" }, "papermill": { "duration": 0.072467, "end_time": "2021-08-07T19:11:47.308612", "exception": false, "start_time": "2021-08-07T19:11:47.236145", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def plot_log_reg(x, y, data, clf, xmin=None, xmax=None, alpha=1, ax=None):\n", " plt.rcParams[\"figure.figsize\"] = [10,10]\n", " if ax is None:\n", " fig, ax = plt.subplots()\n", " else:\n", " fig = ax.figure\n", " ax.scatter(data[x], data[y], color='black', zorder=20, alpha=alpha)\n", " if xmin is None:\n", " xmin = x.min()\n", " if xmax is None:\n", " xmax = x.max()\n", " X_test = np.linspace(xmin, xmax, 300)\n", "\n", " loss = scipy.special.expit(X_test clf.coef_ + clf.intercept_).ravel()\n", " ax.plot(X_test, loss, linewidth=3)\n", "\n", " ax.set_xlabel(x)\n", " ax.set_ylabel(y)\n", " fig.tight_layout()\n", " sns.despine()\n", " return fig, ax" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:11:05.751667Z", "iopub.status.busy": "2021-08-07T19:11:05.751208Z", "iopub.status.idle": "2021-08-07T19:11:06.190484Z", "shell.execute_reply": "2021-08-07T19:11:06.188997Z", "shell.execute_reply.started": "2021-08-07T19:11:05.751506Z" }, "papermill": { "duration": 0.505701, "end_time": "2021-08-07T19:11:47.872035", "exception": false, "start_time": "2021-08-07T19:11:47.366334", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_log_reg('chol', 'target', df_1[['chol','target']], clf = model, xmin = 100, xmax = 350);\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" }, "papermill": { "duration": 19.837838, "end_time": "2021-08-07T19:11:48.539264", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:11:28.701426", "version": "1.2.1" } }, "nbformat": 4, "nbformat_minor": 4 }	0070/601/70601273.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "803b1a18", "metadata": { "id": "0bAEAN5u8IqU", "papermill": { "duration": 0.019072, "end_time": "2021-08-07T19:12:10.256211", "exception": false, "start_time": "2021-08-07T19:12:10.237139", "status": "completed" }, "tags": [] }, "source": [ "Simple EDA baseline." ] }, { "cell_type": "markdown", "id": "7a984425", "metadata": { "id": "AYxRVawR-oGm", "papermill": { "duration": 0.016407, "end_time": "2021-08-07T19:12:10.291918", "exception": false, "start_time": "2021-08-07T19:12:10.275511", "status": "completed" }, "tags": [] }, "source": [ "Make train/test dataframes." ] }, { "cell_type": "code", "execution_count": 1, "id": "e8d7f122", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:10.329577Z", "iopub.status.busy": "2021-08-07T19:12:10.328354Z", "iopub.status.idle": "2021-08-07T19:12:13.170935Z", "shell.execute_reply": "2021-08-07T19:12:13.170146Z", "shell.execute_reply.started": "2021-08-07T19:02:51.324370Z" }, "id": "QdCztdoQ8vFh", "papermill": { "duration": 2.862568, "end_time": "2021-08-07T19:12:13.171164", "exception": false, "start_time": "2021-08-07T19:12:10.308596", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import pandas as pd\n", "\n", "train_df = pd.read_csv('../input/title-generation/train.csv')\n", "test_df = pd.read_csv('../input/title-generation/test.csv')" ] }, { "cell_type": "markdown", "id": "209b585d", "metadata": { "id": "XqXQl5DY9ndv", "papermill": { "duration": 0.016029, "end_time": "2021-08-07T19:12:13.203791", "exception": false, "start_time": "2021-08-07T19:12:13.187762", "status": "completed" }, "tags": [] }, "source": [ "Remove duplicates from train. There is one duplicate in test data too, but we should predict all of test samples anyway, so let's just clean train." ] }, { "cell_type": "code", "execution_count": 2, "id": "e9f2f7a2", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:13.240529Z", "iopub.status.busy": "2021-08-07T19:12:13.239587Z", "iopub.status.idle": "2021-08-07T19:12:13.637257Z", "shell.execute_reply": "2021-08-07T19:12:13.636540Z", "shell.execute_reply.started": "2021-08-07T19:02:54.653206Z" }, "id": "5uVmJkGm9CHq", "outputId": "21ffc484-b091-4f48-9d27-9783153914aa", "papermill": { "duration": 0.417085, "end_time": "2021-08-07T19:12:13.637449", "exception": false, "start_time": "2021-08-07T19:12:13.220364", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "135000\n", "105603\n" ] } ], "source": [ "print(len(train_df))\n", "train_df.drop_duplicates(inplace=True)\n", "print(len(train_df))" ] }, { "cell_type": "markdown", "id": "5c8ee325", "metadata": { "id": "khkBmG84-xjH", "papermill": { "duration": 0.016854, "end_time": "2021-08-07T19:12:13.672497", "exception": false, "start_time": "2021-08-07T19:12:13.655643", "status": "completed" }, "tags": [] }, "source": [ "As [kashnitsky mentioned](https://www.kaggle.com/kashnitsky/arxiv-title-generation-dumb-baseline) there is large intersection between train and test data. Let's see how bad it is." ] }, { "cell_type": "code", "execution_count": 3, "id": "f9b75b24", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:13.820881Z", "iopub.status.busy": "2021-08-07T19:12:13.815840Z", "iopub.status.idle": "2021-08-07T19:12:13.855795Z", "shell.execute_reply": "2021-08-07T19:12:13.855129Z", "shell.execute_reply.started": "2021-08-07T19:02:56.113291Z" }, "id": "Lobpzba79n6J", "outputId": "15ef60dc-d25a-4377-c680-b6b7d685df8c", "papermill": { "duration": 0.166341, "end_time": "2021-08-07T19:12:13.855935", "exception": false, "start_time": "2021-08-07T19:12:13.689594", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>abstract</th>\n", " <th>title</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>433</td>\n", " <td>433</td>\n", " </tr>\n", " <tr>\n", " <th>unique</th>\n", " <td>430</td>\n", " <td>433</td>\n", " </tr>\n", " <tr>\n", " <th>top</th>\n", " <td>discussion of \"instrumental variables: an econ...</td>\n", " <td>a bayesian nonparametric hypothesis testing ap...</td>\n", " </tr>\n", " <tr>\n", " <th>freq</th>\n", " <td>3</td>\n", " <td>1</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " abstract \\\n", "count 433 \n", "unique 430 \n", "top discussion of \"instrumental variables: an econ... \n", "freq 3 \n", "\n", " title \n", "count 433 \n", "unique 433 \n", "top a bayesian nonparametric hypothesis testing ap... \n", "freq 1 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_samples_from_train = set(train_df['abstract']).intersection(set(test_df['abstract']))\n", "wtf_df = train_df[train_df['abstract'].isin(test_samples_from_train)]\n", "wtf_df.describe()" ] }, { "cell_type": "markdown", "id": "2d747a3e", "metadata": { "id": "qcuYWao8_xFn", "papermill": { "duration": 0.017283, "end_time": "2021-08-07T19:12:13.891332", "exception": false, "start_time": "2021-08-07T19:12:13.874049", "status": "completed" }, "tags": [] }, "source": [ "As we can see, 43% of test data was taken from train." ] }, { "cell_type": "markdown", "id": "17e242f4", "metadata": { "id": "u_JhpkZZAFp-", "papermill": { "duration": 0.016986, "end_time": "2021-08-07T19:12:13.925856", "exception": false, "start_time": "2021-08-07T19:12:13.908870", "status": "completed" }, "tags": [] }, "source": [ " One sample has messed up abstract/title pair." ] }, { "cell_type": "code", "execution_count": 4, "id": "8769e248", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:13.972284Z", "iopub.status.busy": "2021-08-07T19:12:13.971380Z", "iopub.status.idle": "2021-08-07T19:12:13.975668Z", "shell.execute_reply": "2021-08-07T19:12:13.976252Z", "shell.execute_reply.started": "2021-08-07T19:02:58.515780Z" }, "id": "nxNUf_3jbmiz", "outputId": "c4cd881e-17cc-4c18-87b4-db61b618b1c8", "papermill": { "duration": 0.032975, "end_time": "2021-08-07T19:12:13.976561", "exception": false, "start_time": "2021-08-07T19:12:13.943586", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>abstract</th>\n", " <th>title</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>14122</th>\n", " <td>discussion of \"instrumental variables: an econ...</td>\n", " <td>ace bounds; sems with equilibrium conditions</td>\n", " </tr>\n", " <tr>\n", " <th>26039</th>\n", " <td>discussion of \"instrumental variables: an econ...</td>\n", " <td>think globally, act globally: an epidemiologis...</td>\n", " </tr>\n", " <tr>\n", " <th>127670</th>\n", " <td>discussion of \"instrumental variables: an econ...</td>\n", " <td>causal graphs: addressing the confounding prob...</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " abstract \\\n", "14122 discussion of \"instrumental variables: an econ... \n", "26039 discussion of \"instrumental variables: an econ... \n", "127670 discussion of \"instrumental variables: an econ... \n", "\n", " title \n", "14122 ace bounds; sems with equilibrium conditions \n", "26039 think globally, act globally: an epidemiologis... \n", "127670 causal graphs: addressing the confounding prob... " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bugged_title = wtf_df.abstract.mode()[0]\n", "# https://arxiv.org/pdf/1410.0163.pdf\n", "wtf_df[wtf_df['abstract'] == bugged_title]" ] }, { "cell_type": "markdown", "id": "dfe8aab1", "metadata": { "id": "hAC9yJr6AOKF", "papermill": { "duration": 0.01723, "end_time": "2021-08-07T19:12:14.011896", "exception": false, "start_time": "2021-08-07T19:12:13.994666", "status": "completed" }, "tags": [] }, "source": [ "One has uncertainty." ] }, { "cell_type": "code", "execution_count": 5, "id": "3697db34", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:14.059860Z", "iopub.status.busy": "2021-08-07T19:12:14.059195Z", "iopub.status.idle": "2021-08-07T19:12:14.061852Z", "shell.execute_reply": "2021-08-07T19:12:14.062354Z", "shell.execute_reply.started": "2021-08-07T19:03:00.270758Z" }, "id": "SyUa-W4TeFIf", "outputId": "694db79e-f1aa-4564-bb03-fd476f488512", "papermill": { "duration": 0.032592, "end_time": "2021-08-07T19:12:14.062515", "exception": false, "start_time": "2021-08-07T19:12:14.029923", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>abstract</th>\n", " <th>title</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>11680</th>\n", " <td>to appear to mcmc handbook, s. p. brooks, a. g...</td>\n", " <td>reversible jump markov chain monte carlo</td>\n", " </tr>\n", " <tr>\n", " <th>110701</th>\n", " <td>to appear to mcmc handbook, s. p. brooks, a. g...</td>\n", " <td>likelihood-free markov chain monte carlo</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " abstract \\\n", "11680 to appear to mcmc handbook, s. p. brooks, a. g... \n", "110701 to appear to mcmc handbook, s. p. brooks, a. g... \n", "\n", " title \n", "11680 reversible jump markov chain monte carlo \n", "110701 likelihood-free markov chain monte carlo " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wtf_df = wtf_df[wtf_df['abstract'] != bugged_title]\n", "uncertain_title = wtf_df.abstract.mode()[0]\n", "wtf_df[wtf_df['abstract'] == uncertain_title]" ] }, { "cell_type": "markdown", "id": "91e0551d", "metadata": { "id": "tljbnU8XCIst", "papermill": { "duration": 0.018107, "end_time": "2021-08-07T19:12:14.098941", "exception": false, "start_time": "2021-08-07T19:12:14.080834", "status": "completed" }, "tags": [] }, "source": [ "Get rid of both of them." ] }, { "cell_type": "code", "execution_count": 6, "id": "8bf4d64c", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:14.138867Z", "iopub.status.busy": "2021-08-07T19:12:14.138255Z", "iopub.status.idle": "2021-08-07T19:12:14.142876Z", "shell.execute_reply": "2021-08-07T19:12:14.143373Z", "shell.execute_reply.started": "2021-08-07T19:03:01.809374Z" }, "id": "_i-eepPhsFKq", "papermill": { "duration": 0.026178, "end_time": "2021-08-07T19:12:14.143531", "exception": false, "start_time": "2021-08-07T19:12:14.117353", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "wtf_df = wtf_df[wtf_df['abstract'] != uncertain_title].reset_index(drop=True)" ] }, { "cell_type": "markdown", "id": "9b368ae1", "metadata": { "id": "xaT7RmvdAndH", "papermill": { "duration": 0.018407, "end_time": "2021-08-07T19:12:14.180010", "exception": false, "start_time": "2021-08-07T19:12:14.161603", "status": "completed" }, "tags": [] }, "source": [ "So we have 43% perfectly labeled test. 57% left to do." ] }, { "cell_type": "markdown", "id": "8a8c9c02", "metadata": { "id": "PwfpKBDbA_UG", "papermill": { "duration": 0.017924, "end_time": "2021-08-07T19:12:14.215851", "exception": false, "start_time": "2021-08-07T19:12:14.197927", "status": "completed" }, "tags": [] }, "source": [ "To max F1-score let's count average title length and fill it with most frequently words." ] }, { "cell_type": "code", "execution_count": 7, "id": "fa2a7cef", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:14.255688Z", "iopub.status.busy": "2021-08-07T19:12:14.255080Z", "iopub.status.idle": "2021-08-07T19:12:14.907910Z", "shell.execute_reply": "2021-08-07T19:12:14.908438Z", "shell.execute_reply.started": "2021-08-07T19:03:07.044935Z" }, "id": "0U33vy5wwY44", "outputId": "85b34e63-c10b-44ba-af41-489836dbdbbb", "papermill": { "duration": 0.674494, "end_time": "2021-08-07T19:12:14.908608", "exception": false, "start_time": "2021-08-07T19:12:14.234114", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean title length is 9.523820346012897\n", "BEST TITLE EVER:\n" ] }, { "data": { "text/plain": [ "'of the and in for a on with to model'" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "import collections\n", "\n", "words = [st.split() for st in train_df['title'].values]\n", "words = [w for ttl in words for w in ttl]\n", "\n", "mean_title_length = np.mean(np.asarray([len(st.split()) for st in train_df['title'].values]))\n", "print('Mean title length is', mean_title_length)\n", "\n", "most_frequently_words = collections.Counter(words).most_common()[:round(mean_title_length)]\n", "nan_fill_value = ' '.join([el[0] for el in most_frequently_words])\n", "print('BEST TITLE EVER:')\n", "nan_fill_value" ] }, { "cell_type": "markdown", "id": "9939cbb2", "metadata": { "id": "6OwsW_5SCc9s", "papermill": { "duration": 0.019131, "end_time": "2021-08-07T19:12:14.947359", "exception": false, "start_time": "2021-08-07T19:12:14.928228", "status": "completed" }, "tags": [] }, "source": [ "Fill NaN values after tables merging." ] }, { "cell_type": "code", "execution_count": 8, "id": "b5bb149a", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:14.998931Z", "iopub.status.busy": "2021-08-07T19:12:14.998222Z", "iopub.status.idle": "2021-08-07T19:12:15.007624Z", "shell.execute_reply": "2021-08-07T19:12:15.007017Z", "shell.execute_reply.started": "2021-08-07T19:03:13.775930Z" }, "id": "MXH-1ie8CSlu", "papermill": { "duration": 0.040695, "end_time": "2021-08-07T19:12:15.007773", "exception": false, "start_time": "2021-08-07T19:12:14.967078", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "submission_df = pd.merge(test_df, wtf_df, on='abstract', how='left').fillna(nan_fill_value)" ] }, { "cell_type": "markdown", "id": "7e14241a", "metadata": { "id": "k12yo-wiFXjl", "papermill": { "duration": 0.019399, "end_time": "2021-08-07T19:12:15.046923", "exception": false, "start_time": "2021-08-07T19:12:15.027524", "status": "completed" }, "tags": [] }, "source": [ "Download python script." ] }, { "cell_type": "code", "execution_count": 9, "id": "a916a6d9", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:15.089529Z", "iopub.status.busy": "2021-08-07T19:12:15.088911Z", "iopub.status.idle": "2021-08-07T19:12:16.103950Z", "shell.execute_reply": "2021-08-07T19:12:16.103258Z", "shell.execute_reply.started": "2021-08-07T19:03:39.549990Z" }, "id": "8-fkqY1HEsPz", "papermill": { "duration": 1.036969, "end_time": "2021-08-07T19:12:16.104113", "exception": false, "start_time": "2021-08-07T19:12:15.067144", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "! wget -q https://raw.githubusercontent.com/Samsung-IT-Academy/stepik-dl-nlp/master/task11_kaggle/create_submission.py" ] }, { "cell_type": "markdown", "id": "5306734c", "metadata": { "id": "no2VyjujCyrE", "papermill": { "duration": 0.019261, "end_time": "2021-08-07T19:12:16.143345", "exception": false, "start_time": "2021-08-07T19:12:16.124084", "status": "completed" }, "tags": [] }, "source": [ "Generate serialized .csv" ] }, { "cell_type": "code", "execution_count": 10, "id": "b6e8ca9f", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:12:16.185710Z", "iopub.status.busy": "2021-08-07T19:12:16.185065Z", "iopub.status.idle": "2021-08-07T19:12:18.852750Z", "shell.execute_reply": "2021-08-07T19:12:18.852168Z", "shell.execute_reply.started": "2021-08-07T19:05:19.923399Z" }, "id": "kTBa4294hhDm", "papermill": { "duration": 2.689593, "end_time": "2021-08-07T19:12:18.852881", "exception": false, "start_time": "2021-08-07T19:12:16.163288", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "from create_submission import generate_csv\n", "\n", "submission_df.to_csv('predicted_titles.csv', index=False)\n", "generate_csv('predicted_titles.csv', 'kaggle_pred.csv', '../input/title-generation/vocs.pkl')" ] }, { "cell_type": "markdown", "id": "fd240b1d", "metadata": { "id": "4qe1WvGhC50s", "papermill": { "duration": 0.018668, "end_time": "2021-08-07T19:12:18.890688", "exception": false, "start_time": "2021-08-07T19:12:18.872020", "status": "completed" }, "tags": [] }, "source": [ "Submit your prediciton." ] }, { "cell_type": "markdown", "id": "395e415f", "metadata": { "id": "_hA1mR90DAss", "papermill": { "duration": 0.018862, "end_time": "2021-08-07T19:12:18.928709", "exception": false, "start_time": "2021-08-07T19:12:18.909847", "status": "completed" }, "tags": [] }, "source": [ "*YOU ARE AWESOME!!!111*" ] }, { "cell_type": "markdown", "id": "b5d02ca4", "metadata": { "id": "e8FVFuQ0GK_z", "papermill": { "duration": 0.019009, "end_time": "2021-08-07T19:12:18.967063", "exception": false, "start_time": "2021-08-07T19:12:18.948054", "status": "completed" }, "tags": [] }, "source": [ "P.S. Now you can train your BERT trying to beat this score :)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 17.711822, "end_time": "2021-08-07T19:12:19.896769", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:12:02.184947", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/601/70601334.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "markdown", "id": "ced4910b", "metadata": { "papermill": { "duration": 0.006878, "end_time": "2021-08-07T19:16:13.557779", "exception": false, "start_time": "2021-08-07T19:16:13.550901", "status": "completed" }, "tags": [] }, "source": [ "Done with the functions discussed here\n", "\n", "https://www.kaggle.com/c/optiver-realized-volatility-prediction/discussion/251277" ] }, { "cell_type": "code", "execution_count": 1, "id": "8ec3634b", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:16:13.573558Z", "iopub.status.busy": "2021-08-07T19:16:13.572427Z", "iopub.status.idle": "2021-08-07T19:16:13.583707Z", "shell.execute_reply": "2021-08-07T19:16:13.583030Z", "shell.execute_reply.started": "2021-08-07T19:14:38.804522Z" }, "papermill": { "duration": 0.020125, "end_time": "2021-08-07T19:16:13.583870", "exception": false, "start_time": "2021-08-07T19:16:13.563745", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import glob\n", "import pyarrow\n", "import numpy as np\n", "import pandas as pd\n", "from tqdm import tqdm" ] }, { "cell_type": "code", "execution_count": 2, "id": "00cb1c79", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:16:13.598543Z", "iopub.status.busy": "2021-08-07T19:16:13.597929Z", "iopub.status.idle": "2021-08-07T19:16:13.601236Z", "shell.execute_reply": "2021-08-07T19:16:13.601779Z", "shell.execute_reply.started": "2021-08-07T19:14:38.818540Z" }, "papermill": { "duration": 0.012238, "end_time": "2021-08-07T19:16:13.601957", "exception": false, "start_time": "2021-08-07T19:16:13.589719", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "BASE = '../input/optiver-realized-volatility-prediction'" ] }, { "cell_type": "code", "execution_count": 3, "id": "4e6a47e3", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:16:13.616502Z", "iopub.status.busy": "2021-08-07T19:16:13.615897Z", "iopub.status.idle": "2021-08-07T19:16:13.620636Z", "shell.execute_reply": "2021-08-07T19:16:13.621113Z", "shell.execute_reply.started": "2021-08-07T19:14:38.832504Z" }, "papermill": { "duration": 0.013579, "end_time": "2021-08-07T19:16:13.621289", "exception": false, "start_time": "2021-08-07T19:16:13.607710", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def ffill(data_df): \n", " data_df=data_df.set_index(['time_id', 'seconds_in_bucket'])\n", " data_df = data_df.reindex(pd.MultiIndex.from_product([data_df.index.levels[0], np.arange(0,600)], names = ['time_id', 'seconds_in_bucket']), method='ffill')\n", " return data_df.reset_index()" ] }, { "cell_type": "code", "execution_count": 4, "id": "6f4d4c38", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:16:13.636590Z", "iopub.status.busy": "2021-08-07T19:16:13.635918Z", "iopub.status.idle": "2021-08-07T19:16:14.378766Z", "shell.execute_reply": "2021-08-07T19:16:14.379290Z", "shell.execute_reply.started": "2021-08-07T19:14:38.843899Z" }, "papermill": { "duration": 0.75213, "end_time": "2021-08-07T19:16:14.379460", "exception": false, "start_time": "2021-08-07T19:16:13.627330", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "!mkdir book_train_ffill.parquet" ] }, { "cell_type": "code", "execution_count": 5, "id": "6a252857", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:16:14.406450Z", "iopub.status.busy": "2021-08-07T19:16:14.405433Z", "iopub.status.idle": "2021-08-07T19:31:54.145491Z", "shell.execute_reply": "2021-08-07T19:31:54.143744Z", "shell.execute_reply.started": "2021-08-07T19:14:39.591182Z" }, "papermill": { "duration": 939.757462, "end_time": "2021-08-07T19:31:54.145799", "exception": false, "start_time": "2021-08-07T19:16:14.388337", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%\|██████████\| 112/112 [15:39<00:00, 8.39s/it]\n" ] } ], "source": [ "book_files = glob.glob(f'{BASE}/book_train.parquet/stock_id=/.parquet')\n", "\n", "for file in tqdm(book_files):\n", " book_df = pd.read_parquet(file)\n", " ffill_df = ffill(book_df)\n", " \n", " file_name = f'./book_train_ffill.parquet/' + file.split('/')[-2]\n", " save_df = pyarrow.Table.from_pandas(ffill_df)\n", " pyarrow.parquet.write_to_dataset(save_df, root_path=file_name)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 949.985434, "end_time": "2021-08-07T19:31:55.508944", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:16:05.523510", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/601/70601760.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "secret-climate", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T19:25:49.480847Z", "iopub.status.busy": "2021-08-07T19:25:49.480140Z", "iopub.status.idle": "2021-08-07T19:25:57.172359Z", "shell.execute_reply": "2021-08-07T19:25:57.171704Z", "shell.execute_reply.started": "2021-08-07T18:55:58.134426Z" }, "papermill": { "duration": 7.727349, "end_time": "2021-08-07T19:25:57.172531", "exception": false, "start_time": "2021-08-07T19:25:49.445182", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/kaggle/input/commonlitreadabilityprize/sample_submission.csv\n", "/kaggle/input/commonlitreadabilityprize/train.csv\n", "/kaggle/input/commonlitreadabilityprize/test.csv\n" ] } ], "source": [ "# This Python 3 environment comes with many helpful analytics libraries installed\n", "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "# For example, here's several helpful packages to load\n", "import os \n", "import matplotlib.pyplot as plt\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "import torch \n", "import random\n", "import seaborn as sns\n", "\n", "from sklearn.metrics import mean_squared_error\n", "from sklearn.model_selection import train_test_split\n", "\n", "# try to install transformers package.\n", "try:\n", " from transformers import (\n", " AutoModelForSequenceClassification, \n", " AutoTokenizer, \n", " EvalPrediction,\n", " Trainer, \n", " TrainingArguments,\n", " set_seed\n", " )\n", "except ImportError as e:\n", " !pip install transformers\n", "\n", " from transformers import (\n", " AutoModelForSequenceClassification, \n", " AutoTokenizer, \n", " EvalPrediction,\n", " Trainer, \n", " TrainingArguments,\n", " set_seed\n", " )\n", "\n", "try:\n", " import optuna\n", "except ImportError as e:\n", " !pip install optuna\n", " import optuna \n", "\n", "# Input data files are available in the read-only \"../input/\" directory\n", "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n", "for dirname, _, filenames in os.walk('/kaggle/input/commonlitreadabilityprize/'):\n", " for filename in filenames:\n", " print(os.path.join(dirname, filename))\n", "\n", "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n", "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session" ] }, { "cell_type": "markdown", "id": "agricultural-dietary", "metadata": { "papermill": { "duration": 0.018477, "end_time": "2021-08-07T19:25:57.211309", "exception": false, "start_time": "2021-08-07T19:25:57.192832", "status": "completed" }, "tags": [] }, "source": [ "# Set up for reproducibility\n", "The cell below setups the seed of `numpy`, `random`, `torch`, and `transformers` packages to ensure reproducibility across executions." ] }, { "cell_type": "code", "execution_count": 2, "id": "independent-gamma", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:25:57.249635Z", "iopub.status.busy": "2021-08-07T19:25:57.249059Z", "iopub.status.idle": "2021-08-07T19:25:57.259283Z", "shell.execute_reply": "2021-08-07T19:25:57.258858Z", "shell.execute_reply.started": "2021-08-07T18:56:10.061513Z" }, "papermill": { "duration": 0.031817, "end_time": "2021-08-07T19:25:57.259400", "exception": false, "start_time": "2021-08-07T19:25:57.227583", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Notebook was set up.\n" ] } ], "source": [ "# path to distilbert pre-trained model.\n", "PRETRAINED_MODEL = 'distilbert-base-uncased'\n", "\n", "# path to temporary working dir.\n", "WORK_OUTPUT_DIR = '/kaggle/working/'\n", "\n", "# random seed used by packages.\n", "RANDOM_SEED = 2021\n", "\n", "# setup the package seeds.\n", "np.random.seed(RANDOM_SEED)\n", "random.seed(RANDOM_SEED)\n", "torch.manual_seed(RANDOM_SEED)\n", "set_seed(RANDOM_SEED)\n", "print('Notebook was set up.')" ] }, { "cell_type": "markdown", "id": "communist-subject", "metadata": { "papermill": { "duration": 0.019295, "end_time": "2021-08-07T19:25:57.296536", "exception": false, "start_time": "2021-08-07T19:25:57.277241", "status": "completed" }, "tags": [] }, "source": [ "# Load and split train dataset\n", "The cell below load train dataset provided. Then the this database is split in train and valid datasets." ] }, { "cell_type": "code", "execution_count": 3, "id": "dressed-proof", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:25:57.339883Z", "iopub.status.busy": "2021-08-07T19:25:57.339227Z", "iopub.status.idle": "2021-08-07T19:25:57.432159Z", "shell.execute_reply": "2021-08-07T19:25:57.431720Z", "shell.execute_reply.started": "2021-08-07T18:56:14.702994Z" }, "papermill": { "duration": 0.116174, "end_time": "2021-08-07T19:25:57.432316", "exception": false, "start_time": "2021-08-07T19:25:57.316142", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>id</th>\n", " <th>url_legal</th>\n", " <th>license</th>\n", " <th>text</th>\n", " <th>label</th>\n", " <th>standard_error</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>c12129c31</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>When the young people returned to the ballroom...</td>\n", " <td>-0.340259</td>\n", " <td>0.464009</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>85aa80a4c</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>All through dinner time, Mrs. Fayre was somewh...</td>\n", " <td>-0.315372</td>\n", " <td>0.480805</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>b69ac6792</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>As Roger had predicted, the snow departed as q...</td>\n", " <td>-0.580118</td>\n", " <td>0.476676</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>dd1000b26</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>And outside before the palace a great garden w...</td>\n", " <td>-1.054013</td>\n", " <td>0.450007</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>37c1b32fb</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>Once upon a time there were Three Bears who li...</td>\n", " <td>0.247197</td>\n", " <td>0.510845</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " id url_legal license \\\n", "0 c12129c31 NaN NaN \n", "1 85aa80a4c NaN NaN \n", "2 b69ac6792 NaN NaN \n", "3 dd1000b26 NaN NaN \n", "4 37c1b32fb NaN NaN \n", "\n", " text label standard_error \n", "0 When the young people returned to the ballroom... -0.340259 0.464009 \n", "1 All through dinner time, Mrs. Fayre was somewh... -0.315372 0.480805 \n", "2 As Roger had predicted, the snow departed as q... -0.580118 0.476676 \n", "3 And outside before the palace a great garden w... -1.054013 0.450007 \n", "4 Once upon a time there were Three Bears who li... 0.247197 0.510845 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_dataframe = pd.read_csv('/kaggle/input/commonlitreadabilityprize/train.csv', doublequote=True)\n", "train_dataframe = train_dataframe.rename(columns={'excerpt':'text', 'target':'label'})\n", "train_dataframe.head()" ] }, { "cell_type": "code", "execution_count": 4, "id": "undefined-least", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:25:57.477960Z", "iopub.status.busy": "2021-08-07T19:25:57.477346Z", "iopub.status.idle": "2021-08-07T19:25:57.482899Z", "shell.execute_reply": "2021-08-07T19:25:57.482439Z", "shell.execute_reply.started": "2021-08-07T18:56:19.262342Z" }, "papermill": { "duration": 0.032386, "end_time": "2021-08-07T19:25:57.483012", "exception": false, "start_time": "2021-08-07T19:25:57.450626", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train set has 2125 rows, and valid set has 709 rows\n" ] } ], "source": [ "train_texts, train_labels = list(train_dataframe['text']), list(train_dataframe['label'])\n", "train_texts, valid_texts, train_labels, valid_labels = train_test_split(train_texts, train_labels, test_size=.25, random_state=RANDOM_SEED)\n", "print(\"Train set has {} rows, and valid set has {} rows\".format(len(train_texts), len(valid_texts)))" ] }, { "cell_type": "markdown", "id": "usual-bracket", "metadata": { "papermill": { "duration": 0.020409, "end_time": "2021-08-07T19:25:57.523100", "exception": false, "start_time": "2021-08-07T19:25:57.502691", "status": "completed" }, "tags": [] }, "source": [ "# Basic Exploratory Data Analysis" ] }, { "cell_type": "code", "execution_count": 5, "id": "smoking-recognition", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:25:57.603722Z", "iopub.status.busy": "2021-08-07T19:25:57.594287Z", "iopub.status.idle": "2021-08-07T19:25:57.869050Z", "shell.execute_reply": "2021-08-07T19:25:57.868322Z", "shell.execute_reply.started": "2021-08-07T18:58:02.524915Z" }, "papermill": { "duration": 0.32821, "end_time": "2021-08-07T19:25:57.869195", "exception": false, "start_time": "2021-08-07T19:25:57.540985", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Max. count words: 205\n", "Min. count words: 135\n", "Median count words: 175.0\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "words_counter = train_dataframe['text'].apply(lambda s: len(s.split()))\n", "sns.histplot(data=words_counter, kde=True)\n", "print(\"Max. count words: {}\".format(max(words_counter)))\n", "print(\"Min. count words: {}\".format(min(words_counter)))\n", "print(\"Median count words: {}\".format(np.median(words_counter)))" ] }, { "cell_type": "markdown", "id": "contemporary-platinum", "metadata": { "papermill": { "duration": 0.018553, "end_time": "2021-08-07T19:25:57.906825", "exception": false, "start_time": "2021-08-07T19:25:57.888272", "status": "completed" }, "tags": [] }, "source": [ "# Tokenize in the BERT word embeddings\n", "The cell below tokenize the excerpt field from train and valid datasets using Distibert tokenizer." ] }, { "cell_type": "code", "execution_count": 6, "id": "republican-facial", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:25:57.956858Z", "iopub.status.busy": "2021-08-07T19:25:57.956005Z", "iopub.status.idle": "2021-08-07T19:26:04.551700Z", "shell.execute_reply": "2021-08-07T19:26:04.552358Z", "shell.execute_reply.started": "2021-08-07T18:58:06.622464Z" }, "papermill": { "duration": 6.623881, "end_time": "2021-08-07T19:26:04.552569", "exception": false, "start_time": "2021-08-07T19:25:57.928688", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "540efa40dff24de9a2c618b0e2b05b33", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%\| \| 0.00/442 [00:00<?, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8f79426c3e534ad3978f6946bfcb3006", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%\| \| 0.00/232k [00:00<?, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0d4af1d79bb145b48160b471b132ce80", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%\| \| 0.00/466k [00:00<?, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f14e1da5974644e5ac410e8e639dfab5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%\| \| 0.00/28.0 [00:00<?, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Train and valid sets tokenized\n" ] } ], "source": [ "tokenizer = AutoTokenizer.from_pretrained(PRETRAINED_MODEL)\n", "train_encodings = tokenizer(train_texts, truncation=True, padding=True)\n", "valid_encodings = tokenizer(valid_texts, truncation=True, padding=True)\n", "print('Train and valid sets tokenized')" ] }, { "cell_type": "markdown", "id": "photographic-locator", "metadata": { "papermill": { "duration": 0.020342, "end_time": "2021-08-07T19:26:04.596425", "exception": false, "start_time": "2021-08-07T19:26:04.576083", "status": "completed" }, "tags": [] }, "source": [ "# Format train and test datasets in Pytorch format\n", "The cell below tokenize the excerpt field from train and valid datasets using Distibert tokenizer." ] }, { "cell_type": "code", "execution_count": 7, "id": "particular-projection", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:04.647394Z", "iopub.status.busy": "2021-08-07T19:26:04.646648Z", "iopub.status.idle": "2021-08-07T19:26:04.649961Z", "shell.execute_reply": "2021-08-07T19:26:04.650441Z", "shell.execute_reply.started": "2021-08-07T18:58:24.294534Z" }, "papermill": { "duration": 0.033096, "end_time": "2021-08-07T19:26:04.650592", "exception": false, "start_time": "2021-08-07T19:26:04.617496", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Torch dataset created.\n" ] } ], "source": [ "# Create torch dataset\n", "class CommonLitDataset(torch.utils.data.Dataset):\n", " def __init__(self, encodings, labels=None):\n", " self.encodings = encodings\n", " self.labels = labels\n", " \n", " def __getitem__(self, idx):\n", " item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}\n", " if self.labels:\n", " item['labels'] = torch.tensor(self.labels[idx])\n", " \n", " return item\n", " \n", " def __len__(self):\n", " return len(self.encodings[\"input_ids\"])\n", " \n", "train_dataset = CommonLitDataset(train_encodings, train_labels)\n", "valid_dataset = CommonLitDataset(valid_encodings, valid_labels)\n", "print('Torch dataset created.')" ] }, { "cell_type": "markdown", "id": "rapid-growth", "metadata": { "papermill": { "duration": 0.020895, "end_time": "2021-08-07T19:26:04.695651", "exception": false, "start_time": "2021-08-07T19:26:04.674756", "status": "completed" }, "tags": [] }, "source": [ "# Train the regression model\n", "The cell below train the regression model for predicting the readability." ] }, { "cell_type": "code", "execution_count": 8, "id": "least-sponsorship", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:04.749604Z", "iopub.status.busy": "2021-08-07T19:26:04.748470Z", "iopub.status.idle": "2021-08-07T19:26:04.798636Z", "shell.execute_reply": "2021-08-07T19:26:04.799493Z", "shell.execute_reply.started": "2021-08-07T19:18:25.198172Z" }, "papermill": { "duration": 0.082756, "end_time": "2021-08-07T19:26:04.799683", "exception": false, "start_time": "2021-08-07T19:26:04.716927", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using the `WAND_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Train arguments set up.\n" ] } ], "source": [ "# Define computing metrics Trainer.\n", "from transformers import EarlyStoppingCallback\n", "\n", "def model_init():\n", " return AutoModelForSequenceClassification.from_pretrained(PRETRAINED_MODEL, num_labels=1, return_dict=True)\n", "\n", "def compute_metrics(p: EvalPrediction):\n", " preds = p.predictions[0] if isinstance(p.predictions, tuple) else p.predictions \n", " preds = np.squeeze(preds) \n", " return {\"rmse\": mean_squared_error(y_true=p.label_ids, y_pred=preds, squared=False)}\n", "\n", "def get_objective_metric(metrics):\n", " return metrics['eval_rmse']\n", "\n", "# Define Trainer parameters\n", "os.environ[\"WANDB_DISABLED\"] = \"true\"\n", "batch_size = 16\n", "training_args = TrainingArguments(\n", " # The output directory where the model predictions \n", " # and checkpoints will be written.\n", " output_dir='/kaggle/working/output',\n", " \n", " # Overwrite the content of the output directory.\n", " overwrite_output_dir=True,\n", " \n", " # Whether to run training or not.\n", " do_train=True,\n", " \n", " # Whether to run evoluation on the dev or not.\n", " do_eval=True,\n", " \n", " # Batch size GPU/TPU core/CPU for training\n", " per_device_train_batch_size=batch_size,\n", " \n", " # Batch size GPU/TPU core/CPU for evaluation\n", " per_device_eval_batch_size=batch_size * 4, \n", " \n", " # Evaluation strategy to adopt during training.\n", " evaluation_strategy=\"steps\",\n", " \n", " # How often to show logs.\n", " logging_steps=100,\n", " \n", " # Number of update steps between two \n", " # evaluations if evaluation_strategy=\"steps\".\n", " # Will default to the same value as l\n", " # logging_steps if not set.\n", " eval_steps=100,\n", " \n", " # Set prediction loss to 'True' in order to \n", " # return loss for perplexity calculation\n", " # prediction_loss_only=True,\n", " \n", " # The initial learning rate for Adam.\n", " # Default to 5e-5\n", " learning_rate=2.5e-5,\n", " \n", " # The weigth decay to apply (if not zero)\n", " weight_decay=1.5, \n", " \n", " # Epsilon for Adam optimizer,\n", " # Defaults to 1e-8\n", " adam_epsilon=3.890824499297403e-10,\n", " \n", " # Maximum gradient norm (for gradient \n", " # clipping). Defaults to 0.\n", " max_grad_norm=0,\n", " \n", " # Total number of training epochs to perform \n", " # (if not an integer, will perform the \n", " # decimal part percents of\n", " # the last epoch before stopping training).\n", " num_train_epochs=5,\n", "\n", " # Number of updates steps before two checkpoint saves. \n", " # Defaults to 500\n", " # save_steps=-1,\n", " \n", " # Number of steps used for a linear warmup from 0 to learning_rate.\n", " warmup_steps=500, \n", " \n", " # Use in conjunction with load_best_model_at_end to specify \n", " # the metric to use to compare two different models.\n", " metric_for_best_model=\"eval_rmse\",\n", " \n", " # Whether or not to load the best model found during training \n", " # at the end of training.\n", " load_best_model_at_end=True,\n", " \n", " # Use in conjunction with load_best_model_at_end and metric_for_best_model \n", " # to specify if better models should have a greater metric or not. \n", " greater_is_better=False,\n", " \n", " # TensorBoard log directory.\n", " logging_dir='/kaggle/working/logs',\n", " \n", " # Random seed that will be set at the beginning of training.\n", " seed=18,\n", " \n", " # The list of integrations to report the results and logs to.\n", " report_to=None\n", ")\n", "\n", "print('Train arguments set up.')" ] }, { "cell_type": "code", "execution_count": 9, "id": "amateur-nickname", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:04.849991Z", "iopub.status.busy": "2021-08-07T19:26:04.849131Z", "iopub.status.idle": "2021-08-07T19:26:28.533168Z", "shell.execute_reply": "2021-08-07T19:26:28.533758Z", "shell.execute_reply.started": "2021-08-07T19:18:28.626749Z" }, "papermill": { "duration": 23.711095, "end_time": "2021-08-07T19:26:28.533953", "exception": false, "start_time": "2021-08-07T19:26:04.822858", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading `Trainer`...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3aabb16469dd498ebe62a3dcac2122b6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading: 0%\| \| 0.00/268M [00:00<?, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_layer_norm.bias', 'vocab_projector.weight', 'vocab_projector.bias']\n", "- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", "- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", "Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight', 'classifier.bias']\n", "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "`Trainer` loaded.\n" ] } ], "source": [ "print(\"Loading `Trainer`...\")\n", "trainer = Trainer(\n", " args=training_args,\n", " train_dataset=train_dataset,\n", " eval_dataset=valid_dataset,\n", " compute_metrics=compute_metrics,\n", " model_init=model_init,\n", " callbacks=[EarlyStoppingCallback(early_stopping_patience=3)],\n", " tokenizer=tokenizer\n", ")\n", "print(\"`Trainer` loaded.\")" ] }, { "cell_type": "code", "execution_count": 10, "id": "isolated-bottom", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:28.775030Z", "iopub.status.busy": "2021-08-07T19:26:28.774496Z", "iopub.status.idle": "2021-08-07T19:30:41.052208Z", "shell.execute_reply": "2021-08-07T19:30:41.053280Z", "shell.execute_reply.started": "2021-08-07T19:18:37.824316Z" }, "papermill": { "duration": 252.496319, "end_time": "2021-08-07T19:30:41.053577", "exception": false, "start_time": "2021-08-07T19:26:28.557258", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_layer_norm.bias', 'vocab_projector.weight', 'vocab_projector.bias']\n", "- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", "- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", "Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight', 'classifier.bias']\n", "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" ] }, { "data": { "text/html": [ "\n", " <div>\n", " <style>\n", " /* Turns off some styling /\n", " progress {\n", " / gets rid of default border in Firefox and Opera. /\n", " border: none;\n", " / Needs to be in here for Safari polyfill so background images work as expected. /\n", " background-size: auto;\n", " }\n", " </style>\n", " \n", " <progress value='665' max='665' style='width:300px; height:20px; vertical-align: middle;'></progress>\n", " [665/665 04:06, Epoch 5/5]\n", " </div>\n", " <table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: left;\">\n", " <th>Step</th>\n", " <th>Training Loss</th>\n", " <th>Validation Loss</th>\n", " <th>Rmse</th>\n", " <th>Runtime</th>\n", " <th>Samples Per Second</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <td>100</td>\n", " <td>1.547000</td>\n", " <td>0.880095</td>\n", " <td>0.938134</td>\n", " <td>3.150600</td>\n", " <td>225.036000</td>\n", " </tr>\n", " <tr>\n", " <td>200</td>\n", " <td>0.544000</td>\n", " <td>0.353019</td>\n", " <td>0.594154</td>\n", " <td>3.153000</td>\n", " <td>224.864000</td>\n", " </tr>\n", " <tr>\n", " <td>300</td>\n", " <td>0.329100</td>\n", " <td>0.365839</td>\n", " <td>0.604847</td>\n", " <td>3.166200</td>\n", " <td>223.928000</td>\n", " </tr>\n", " <tr>\n", " <td>400</td>\n", " <td>0.279700</td>\n", " <td>0.281096</td>\n", " <td>0.530184</td>\n", " <td>3.170800</td>\n", " <td>223.603000</td>\n", " </tr>\n", " <tr>\n", " <td>500</td>\n", " <td>0.174200</td>\n", " <td>0.271636</td>\n", " <td>0.521187</td>\n", " <td>3.184300</td>\n", " <td>222.657000</td>\n", " </tr>\n", " <tr>\n", " <td>600</td>\n", " <td>0.141200</td>\n", " <td>0.262859</td>\n", " <td>0.512698</td>\n", " <td>3.147500</td>\n", " <td>225.256000</td>\n", " </tr>\n", " </tbody>\n", "</table><p>" ], "text/plain": [ "<IPython.core.display.HTML object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train pre-trained model\n", "if training_args.do_train:\n", " train_results = trainer.train()" ] }, { "cell_type": "markdown", "id": "close-visitor", "metadata": { "papermill": { "duration": 0.047416, "end_time": "2021-08-07T19:30:41.140453", "exception": false, "start_time": "2021-08-07T19:30:41.093037", "status": "completed" }, "tags": [] }, "source": [ "# Evaluate the trained model.\n", "The cells below the trained model is evaluated using loss, perplexity and RMSE." ] }, { "cell_type": "code", "execution_count": 11, "id": "express-flash", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:41.229988Z", "iopub.status.busy": "2021-08-07T19:30:41.227875Z", "iopub.status.idle": "2021-08-07T19:30:41.234539Z", "shell.execute_reply": "2021-08-07T19:30:41.235132Z", "shell.execute_reply.started": "2021-08-07T19:24:03.887207Z" }, "papermill": { "duration": 0.057293, "end_time": "2021-08-07T19:30:41.235327", "exception": false, "start_time": "2021-08-07T19:30:41.178034", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Metrics collected.\n" ] } ], "source": [ "import math\n", "# Keep track of train models and evaluate loss.\n", "loss_history = {'train_loss':[], 'eval_loss':[]}\n", "\n", "# Keep track of train and evaluate perplexity\n", "perplexity_history = {'train_perplexity':[], 'eval_perplexity':[]}\n", "for log_history in trainer.state.log_history:\n", " if 'loss' in log_history.keys():\n", " loss_history['train_loss'].append(log_history['loss'])\n", " perplexity_history['train_perplexity'].append(math.exp(log_history['loss']))\n", " \n", " elif 'eval_loss' in log_history.keys():\n", " loss_history['eval_loss'].append(log_history['eval_loss'])\n", " perplexity_history['eval_perplexity'].append(math.exp(log_history['eval_loss']))\n", "print('Metrics collected.')" ] }, { "cell_type": "markdown", "id": "southwest-drama", "metadata": { "papermill": { "duration": 0.040262, "end_time": "2021-08-07T19:30:41.314162", "exception": false, "start_time": "2021-08-07T19:30:41.273900", "status": "completed" }, "tags": [] }, "source": [ "## Plot the loss chart" ] }, { "cell_type": "code", "execution_count": 12, "id": "cosmetic-singapore", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:41.402262Z", "iopub.status.busy": "2021-08-07T19:30:41.401393Z", "iopub.status.idle": "2021-08-07T19:30:41.802481Z", "shell.execute_reply": "2021-08-07T19:30:41.801832Z", "shell.execute_reply.started": "2021-08-07T19:24:15.591547Z" }, "papermill": { "duration": 0.447323, "end_time": "2021-08-07T19:30:41.802650", "exception": false, "start_time": "2021-08-07T19:30:41.355327", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style(\"whitegrid\")\n", "sns.lineplot(data=loss_history)" ] }, { "cell_type": "markdown", "id": "naughty-northern", "metadata": { "papermill": { "duration": 0.048345, "end_time": "2021-08-07T19:30:41.902420", "exception": false, "start_time": "2021-08-07T19:30:41.854075", "status": "completed" }, "tags": [] }, "source": [ "## Plot the perplexity chart" ] }, { "cell_type": "code", "execution_count": 13, "id": "enormous-hampshire", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:42.055791Z", "iopub.status.busy": "2021-08-07T19:30:42.054774Z", "iopub.status.idle": "2021-08-07T19:30:42.342200Z", "shell.execute_reply": "2021-08-07T19:30:42.341758Z", "shell.execute_reply.started": "2021-08-07T19:24:20.907216Z" }, "papermill": { "duration": 0.392348, "end_time": "2021-08-07T19:30:42.342341", "exception": false, "start_time": "2021-08-07T19:30:41.949993", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:>" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style(\"whitegrid\")\n", "sns.lineplot(data=perplexity_history)" ] }, { "cell_type": "markdown", "id": "handed-screw", "metadata": { "papermill": { "duration": 0.031224, "end_time": "2021-08-07T19:30:42.401804", "exception": false, "start_time": "2021-08-07T19:30:42.370580", "status": "completed" }, "tags": [] }, "source": [ "## Calculate the RMSE and Perplexity" ] }, { "cell_type": "code", "execution_count": 14, "id": "fluid-typing", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:42.668984Z", "iopub.status.busy": "2021-08-07T19:30:42.459334Z", "iopub.status.idle": "2021-08-07T19:30:46.058363Z", "shell.execute_reply": "2021-08-07T19:30:46.058804Z", "shell.execute_reply.started": "2021-08-07T19:24:26.317778Z" }, "papermill": { "duration": 3.629951, "end_time": "2021-08-07T19:30:46.058956", "exception": false, "start_time": "2021-08-07T19:30:42.429005", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "\n", " <div>\n", " <style>\n", " / Turns off some styling /\n", " progress {\n", " / gets rid of default border in Firefox and Opera. /\n", " border: none;\n", " / Needs to be in here for Safari polyfill so background images work as expected. */\n", " background-size: auto;\n", " }\n", " </style>\n", " \n", " <progress value='13' max='12' style='width:300px; height:20px; vertical-align: middle;'></progress>\n", " [12/12 00:03]\n", " </div>\n", " " ], "text/plain": [ "<IPython.core.display.HTML object>" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Evaluate Perplexity: 1.301\n", "Evaluate RMSE: 0.513\n" ] } ], "source": [ "if training_args.do_eval: \n", " eval_output = trainer.evaluate()\n", " perplexity = math.exp(eval_output['eval_loss'])\n", " rmse = eval_output['eval_rmse']\n", " print('\\nEvaluate Perplexity: {:3,.3f}'.format(perplexity))\n", " print('Evaluate RMSE: {:3,.3f}'.format(rmse))\n", "else:\n", " print('No evaluation needed. No evaluation data provided, `do_eval=False`!')" ] }, { "cell_type": "markdown", "id": "toxic-ribbon", "metadata": { "papermill": { "duration": 0.027939, "end_time": "2021-08-07T19:30:46.116069", "exception": false, "start_time": "2021-08-07T19:30:46.088130", "status": "completed" }, "tags": [] }, "source": [ "## Evaluate the trained model\n", "Evaluate the trained model using test dataset." ] }, { "cell_type": "code", "execution_count": 15, "id": "legitimate-manor", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:46.180869Z", "iopub.status.busy": "2021-08-07T19:30:46.180143Z", "iopub.status.idle": "2021-08-07T19:30:46.646702Z", "shell.execute_reply": "2021-08-07T19:30:46.647256Z", "shell.execute_reply.started": "2021-08-07T19:24:35.429322Z" }, "papermill": { "duration": 0.502374, "end_time": "2021-08-07T19:30:46.647454", "exception": false, "start_time": "2021-08-07T19:30:46.145080", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prediction done\n" ] } ], "source": [ "# Load test data\n", "test_dataframe = pd.read_csv('/kaggle/input/commonlitreadabilityprize/test.csv', doublequote=True)\n", "test_texts = test_dataframe.rename(columns={'excerpt':'text'})['text'].to_list()\n", "test_encodings = tokenizer(test_texts, truncation=True, padding=True)\n", "\n", "# Create torch dataset\n", "test_dataset = CommonLitDataset(test_encodings)\n", "\n", "y_pred=trainer.predict(test_dataset)\n", "\n", "print('Prediction done')" ] }, { "cell_type": "markdown", "id": "personalized-easter", "metadata": { "papermill": { "duration": 0.027793, "end_time": "2021-08-07T19:30:46.703594", "exception": false, "start_time": "2021-08-07T19:30:46.675801", "status": "completed" }, "tags": [] }, "source": [ "# Submit to competition" ] }, { "cell_type": "code", "execution_count": 16, "id": "moving-soccer", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:30:46.765847Z", "iopub.status.busy": "2021-08-07T19:30:46.765204Z", "iopub.status.idle": "2021-08-07T19:30:46.915730Z", "shell.execute_reply": "2021-08-07T19:30:46.916442Z", "shell.execute_reply.started": "2021-08-07T19:24:40.394929Z" }, "papermill": { "duration": 0.185056, "end_time": "2021-08-07T19:30:46.916600", "exception": false, "start_time": "2021-08-07T19:30:46.731544", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " id target\n", "0 c0f722661 -0.396497\n", "1 f0953f0a5 -0.467817\n", "2 0df072751 -0.275873\n", "3 04caf4e0c -2.176110\n", "4 0e63f8bea -1.912005\n", "5 12537fe78 -1.278331\n", "6 965e592c0 0.398807\n", "Test evaluation submitted.\n" ] } ], "source": [ "# Save test predictions to file\n", "np.set_printoptions(precision=1)\n", "output = pd.DataFrame({'id': test_dataframe['id'],\n", " 'target': y_pred.predictions[:, 0]})\n", "output.to_csv('submission.csv', index=False, float_format='%.1f')\n", "print(output)\n", "print('Test evaluation submitted.')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 306.873692, "end_time": "2021-08-07T19:30:49.458335", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:25:42.584643", "version": "2.3.3" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "0455aa1491174db79ce4c44590c97bb6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "0bb2437193e04806bfe970c428767334": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "0c725dec347e4c47a48c6e537ffc9c70": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "0d4af1d79bb145b48160b471b132ce80": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_8c348e9ae0134b7a971c71c411222796", "IPY_MODEL_fd2d00a783094e759244626cd46ef709", "IPY_MODEL_fa573fcf85154f3db25bf4f24dbfeec8" ], "layout": "IPY_MODEL_d65dfe75aae84ba0873c33aaf2b44516" } }, "135a106b9a074f19b56fd8e744d029b3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_0bb2437193e04806bfe970c428767334", "placeholder": "", "style": "IPY_MODEL_a666a1ab7f864744ad6768369f5430e6", "value": "Downloading: 100%" } }, "16459abe49b343df8d6325df2d0f3fdb": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1c2f61bf9fb644fdb3a2a023799f7d98": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "1f023dddf1ab4f27aec1bfb7bbccdbc7": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "24899285cefc4d19b87bc59d33bec666": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_954f7bc2dfe74092a087aa53e58d3d0e", "max": 442.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_506b3797e83d4fb8842811b065addaa7", "value": 442.0 } }, "256df342828249a887202bda7c74450c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "2fbba2b9ad9f48778fdc4fbe6e4685a6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8341a2313dd44afbbbd623f6527ef01d", "placeholder": "", "style": "IPY_MODEL_1c2f61bf9fb644fdb3a2a023799f7d98", "value": "Downloading: 100%" } }, "34e0b94024b24419b3fa9db40c4200ad": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3aabb16469dd498ebe62a3dcac2122b6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_2fbba2b9ad9f48778fdc4fbe6e4685a6", "IPY_MODEL_f8c0f584305b4ebcba680445cfedf894", "IPY_MODEL_aa7cc99a319b49029dc758f3023c0e5d" ], "layout": "IPY_MODEL_9dc2baa3da18489584df76eccf855165" } }, "45202f5a604c45008c4596f05713fa6b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "506b3797e83d4fb8842811b065addaa7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "540efa40dff24de9a2c618b0e2b05b33": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_bc43b89b91e34c9f9cdeeff876c9d52c", "IPY_MODEL_24899285cefc4d19b87bc59d33bec666", "IPY_MODEL_dbfd2e4d03bf4c1e820c845206227fc9" ], "layout": "IPY_MODEL_7fb7884f4aa84b6c8bd68b66455793c9" } }, "59899c22c5e54a329d67886169b2eedb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "67d1fd4fecb545edb157e72872cb9815": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "70b9e52d304e4ba5aa9db4fcbe51e8e8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "72547721031b408ababa48a975fb1be6": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "73aa703779bf4bcb857ba9d41881ecd0": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7ab0fdd030bd4ec1bcd5db2fb08f8d80": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7fb7884f4aa84b6c8bd68b66455793c9": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8341a2313dd44afbbbd623f6527ef01d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "873dfcd927a24331a75a77f460777b2a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "8a3a7fc483ed4c43bbcb205db1a57f23": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "8c348e9ae0134b7a971c71c411222796": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_c373083df2954bdf9a596600792a0ea3", "placeholder": "", "style": "IPY_MODEL_873dfcd927a24331a75a77f460777b2a", "value": "Downloading: 100%" } }, "8f79426c3e534ad3978f6946bfcb3006": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_eecf4e5d07ac406a8f41bd591cb7d623", "IPY_MODEL_d51bd5ceea264a9f8970a5f07545f595", "IPY_MODEL_9539d50a2f084d0b9831aa6f8303f183" ], "layout": "IPY_MODEL_72547721031b408ababa48a975fb1be6" } }, "9362009eaf9c480f8527ac4efa75e127": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9539d50a2f084d0b9831aa6f8303f183": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_ae18d696471b4ac493d04b0c9bb17037", "placeholder": "", "style": "IPY_MODEL_af8b666b91244613b1e884a50db609ca", "value": " 232k/232k [00:00<00:00, 1.12MB/s]" } }, "954f7bc2dfe74092a087aa53e58d3d0e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "98e1e0baf35b420bad3e6b659c742608": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "9dc2baa3da18489584df76eccf855165": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a3dbf8636088469cad99b48e5caf3402": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "a666a1ab7f864744ad6768369f5430e6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "a701b1a777614fdc990733bb04b5de4c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "aa7cc99a319b49029dc758f3023c0e5d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e75fe75f9296432d9d2a07789ff21e7a", "placeholder": "", "style": "IPY_MODEL_59899c22c5e54a329d67886169b2eedb", "value": " 268M/268M [00:12<00:00, 18.7MB/s]" } }, "ae18d696471b4ac493d04b0c9bb17037": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ae87900552e14285885e4d2873a8f7f1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_73aa703779bf4bcb857ba9d41881ecd0", "max": 28.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_8a3a7fc483ed4c43bbcb205db1a57f23", "value": 28.0 } }, "af8b666b91244613b1e884a50db609ca": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "b013ab603e0d45f8b9247deafb8631c2": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bc43b89b91e34c9f9cdeeff876c9d52c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_16459abe49b343df8d6325df2d0f3fdb", "placeholder": "", "style": "IPY_MODEL_a3dbf8636088469cad99b48e5caf3402", "value": "Downloading: 100%" } }, "bc784929895840598ee4065ebf843f75": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_256df342828249a887202bda7c74450c", "placeholder": "", "style": "IPY_MODEL_0c725dec347e4c47a48c6e537ffc9c70", "value": " 28.0/28.0 [00:00<00:00, 902B/s]" } }, "c373083df2954bdf9a596600792a0ea3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d51bd5ceea264a9f8970a5f07545f595": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_67d1fd4fecb545edb157e72872cb9815", "max": 231508.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_ee5adca3ce9e4c9db1093d4c35da59ee", "value": 231508.0 } }, "d65dfe75aae84ba0873c33aaf2b44516": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "dbfd2e4d03bf4c1e820c845206227fc9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1f023dddf1ab4f27aec1bfb7bbccdbc7", "placeholder": "", "style": "IPY_MODEL_98e1e0baf35b420bad3e6b659c742608", "value": " 442/442 [00:00<00:00, 14.6kB/s]" } }, "e5563bcbaa0c4d3ea9e1f61f15c56df3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e75fe75f9296432d9d2a07789ff21e7a": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "ee5adca3ce9e4c9db1093d4c35da59ee": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "eecf4e5d07ac406a8f41bd591cb7d623": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7ab0fdd030bd4ec1bcd5db2fb08f8d80", "placeholder": "", "style": "IPY_MODEL_0455aa1491174db79ce4c44590c97bb6", "value": "Downloading: 100%" } }, "f14e1da5974644e5ac410e8e639dfab5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_135a106b9a074f19b56fd8e744d029b3", "IPY_MODEL_ae87900552e14285885e4d2873a8f7f1", "IPY_MODEL_bc784929895840598ee4065ebf843f75" ], "layout": "IPY_MODEL_9362009eaf9c480f8527ac4efa75e127" } }, "f8c0f584305b4ebcba680445cfedf894": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b013ab603e0d45f8b9247deafb8631c2", "max": 267967963.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_a701b1a777614fdc990733bb04b5de4c", "value": 267967963.0 } }, "fa573fcf85154f3db25bf4f24dbfeec8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e5563bcbaa0c4d3ea9e1f61f15c56df3", "placeholder": "", "style": "IPY_MODEL_70b9e52d304e4ba5aa9db4fcbe51e8e8", "value": " 466k/466k [00:00<00:00, 1.03MB/s]" } }, "fd2d00a783094e759244626cd46ef709": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_34e0b94024b24419b3fa9db40c4200ad", "max": 466062.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_45202f5a604c45008c4596f05713fa6b", "value": 466062.0 } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }	0070/602/70602794.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# <center> WALMART SALES FORECASTING📈\n<h2><center>TIME SERIES ANALYSIS TUTORIAL✅</h2>\n \n![hj](https://miro.medium.com/max/1400/1tgc5PuEaW36qa-60V7_KaA.jpeg) \n#### <center>Aim: To predict future sales in Walmart.","metadata":{}},{"cell_type":"markdown","source":"## Table of Contents :\n- #### 1.Data Collection\n- #### 2.Data Exploration\n- #### 3.Data Cleaning\n- #### 4.Data Visualization\n- #### 4.Time Series Analysis\n- #### 5.Time Series Forecasting\n - i) Niave Approach\n - ii) Moving Average Model\n - iii) Holt's linear trend model\n - iv) Holt winter's Model\n - v) ARIMA\n- #### 7.Model Evaluation\n- ##### Conclusion","metadata":{}},{"cell_type":"markdown","source":"## 1. Data Collection","metadata":{}},{"cell_type":"code","source":"# Importing Libraries\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sb\n%matplotlib inline\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.116470Z","iopub.execute_input":"2021-08-07T19:14:04.117028Z","iopub.status.idle":"2021-08-07T19:14:04.124528Z","shell.execute_reply.started":"2021-08-07T19:14:04.116979Z","shell.execute_reply":"2021-08-07T19:14:04.123356Z"},"trusted":true},"execution_count":35,"outputs":[]},{"cell_type":"code","source":"features = pd.read_csv('../input/walmart/features.csv')\nfeatures.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.136098Z","iopub.execute_input":"2021-08-07T19:14:04.136523Z","iopub.status.idle":"2021-08-07T19:14:04.175277Z","shell.execute_reply.started":"2021-08-07T19:14:04.136474Z","shell.execute_reply":"2021-08-07T19:14:04.174154Z"},"trusted":true},"execution_count":36,"outputs":[{"execution_count":36,"output_type":"execute_result","data":{"text/plain":" Store Date Temperature Fuel_Price MarkDown1 MarkDown2 \\\n0 1 2010-02-05 42.31 2.572 NaN NaN \n1 1 2010-02-12 38.51 2.548 NaN NaN \n2 1 2010-02-19 39.93 2.514 NaN NaN \n3 1 2010-02-26 46.63 2.561 NaN NaN \n4 1 2010-03-05 46.50 2.625 NaN NaN \n\n MarkDown3 MarkDown4 MarkDown5 CPI Unemployment IsHoliday \n0 NaN NaN NaN 211.096358 8.106 False \n1 NaN NaN NaN 211.242170 8.106 True \n2 NaN NaN NaN 211.289143 8.106 False \n3 NaN NaN NaN 211.319643 8.106 False \n4 NaN NaN NaN 211.350143 8.106 False ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Date</th>\n <th>Temperature</th>\n <th>Fuel_Price</th>\n <th>MarkDown1</th>\n <th>MarkDown2</th>\n <th>MarkDown3</th>\n <th>MarkDown4</th>\n <th>MarkDown5</th>\n <th>CPI</th>\n <th>Unemployment</th>\n <th>IsHoliday</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>2010-02-05</td>\n <td>42.31</td>\n <td>2.572</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.096358</td>\n <td>8.106</td>\n <td>False</td>\n </tr>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>2010-02-12</td>\n <td>38.51</td>\n <td>2.548</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.242170</td>\n <td>8.106</td>\n <td>True</td>\n </tr>\n <tr>\n <th>2</th>\n <td>1</td>\n <td>2010-02-19</td>\n <td>39.93</td>\n <td>2.514</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.289143</td>\n <td>8.106</td>\n <td>False</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>2010-02-26</td>\n <td>46.63</td>\n <td>2.561</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.319643</td>\n <td>8.106</td>\n <td>False</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1</td>\n <td>2010-03-05</td>\n <td>46.50</td>\n <td>2.625</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.350143</td>\n <td>8.106</td>\n <td>False</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"stores = pd.read_csv('../input/walmart/stores.csv')\nstores.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.176893Z","iopub.execute_input":"2021-08-07T19:14:04.177216Z","iopub.status.idle":"2021-08-07T19:14:04.195673Z","shell.execute_reply.started":"2021-08-07T19:14:04.177185Z","shell.execute_reply":"2021-08-07T19:14:04.194341Z"},"trusted":true},"execution_count":37,"outputs":[{"execution_count":37,"output_type":"execute_result","data":{"text/plain":" Store Type Size\n0 1 A 151315\n1 2 A 202307\n2 3 B 37392\n3 4 A 205863\n4 5 B 34875","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Type</th>\n <th>Size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>A</td>\n <td>202307</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>B</td>\n <td>37392</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>A</td>\n <td>205863</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>B</td>\n <td>34875</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"train = pd.read_csv('../input/walmart/train.csv')\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.198301Z","iopub.execute_input":"2021-08-07T19:14:04.198638Z","iopub.status.idle":"2021-08-07T19:14:04.616898Z","shell.execute_reply.started":"2021-08-07T19:14:04.198608Z","shell.execute_reply":"2021-08-07T19:14:04.615824Z"},"trusted":true},"execution_count":38,"outputs":[{"execution_count":38,"output_type":"execute_result","data":{"text/plain":" Store Dept Date Weekly_Sales IsHoliday\n0 1 1 2010-02-05 24924.50 False\n1 1 1 2010-02-12 46039.49 True\n2 1 1 2010-02-19 41595.55 False\n3 1 1 2010-02-26 19403.54 False\n4 1 1 2010-03-05 21827.90 False","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Dept</th>\n <th>Date</th>\n <th>Weekly_Sales</th>\n <th>IsHoliday</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-05</td>\n <td>24924.50</td>\n <td>False</td>\n </tr>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-12</td>\n <td>46039.49</td>\n <td>True</td>\n </tr>\n <tr>\n <th>2</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-19</td>\n <td>41595.55</td>\n <td>False</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-26</td>\n <td>19403.54</td>\n <td>False</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1</td>\n <td>1</td>\n <td>2010-03-05</td>\n <td>21827.90</td>\n <td>False</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"features.shape , stores.shape, train.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.618185Z","iopub.execute_input":"2021-08-07T19:14:04.618491Z","iopub.status.idle":"2021-08-07T19:14:04.625263Z","shell.execute_reply.started":"2021-08-07T19:14:04.618464Z","shell.execute_reply":"2021-08-07T19:14:04.624242Z"},"trusted":true},"execution_count":39,"outputs":[{"execution_count":39,"output_type":"execute_result","data":{"text/plain":"((8190, 12), (45, 3), (421570, 5))"},"metadata":{}}]},{"cell_type":"code","source":"# We will merge our datasets\n\ntrain_df = train.merge(features, 'left').merge(stores, 'left')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.626932Z","iopub.execute_input":"2021-08-07T19:14:04.627225Z","iopub.status.idle":"2021-08-07T19:14:04.920116Z","shell.execute_reply.started":"2021-08-07T19:14:04.627198Z","shell.execute_reply":"2021-08-07T19:14:04.918870Z"},"trusted":true},"execution_count":40,"outputs":[]},{"cell_type":"code","source":"train_df","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.921925Z","iopub.execute_input":"2021-08-07T19:14:04.922289Z","iopub.status.idle":"2021-08-07T19:14:04.964937Z","shell.execute_reply.started":"2021-08-07T19:14:04.922259Z","shell.execute_reply":"2021-08-07T19:14:04.963850Z"},"trusted":true},"execution_count":41,"outputs":[{"execution_count":41,"output_type":"execute_result","data":{"text/plain":" Store Dept Date Weekly_Sales IsHoliday Temperature \\\n0 1 1 2010-02-05 24924.50 False 42.31 \n1 1 1 2010-02-12 46039.49 True 38.51 \n2 1 1 2010-02-19 41595.55 False 39.93 \n3 1 1 2010-02-26 19403.54 False 46.63 \n4 1 1 2010-03-05 21827.90 False 46.50 \n... ... ... ... ... ... ... \n421565 45 98 2012-09-28 508.37 False 64.88 \n421566 45 98 2012-10-05 628.10 False 64.89 \n421567 45 98 2012-10-12 1061.02 False 54.47 \n421568 45 98 2012-10-19 760.01 False 56.47 \n421569 45 98 2012-10-26 1076.80 False 58.85 \n\n Fuel_Price MarkDown1 MarkDown2 MarkDown3 MarkDown4 MarkDown5 \\\n0 2.572 NaN NaN NaN NaN NaN \n1 2.548 NaN NaN NaN NaN NaN \n2 2.514 NaN NaN NaN NaN NaN \n3 2.561 NaN NaN NaN NaN NaN \n4 2.625 NaN NaN NaN NaN NaN \n... ... ... ... ... ... ... \n421565 3.997 4556.61 20.64 1.50 1601.01 3288.25 \n421566 3.985 5046.74 NaN 18.82 2253.43 2340.01 \n421567 4.000 1956.28 NaN 7.89 599.32 3990.54 \n421568 3.969 2004.02 NaN 3.18 437.73 1537.49 \n421569 3.882 4018.91 58.08 100.00 211.94 858.33 \n\n CPI Unemployment Type Size \n0 211.096358 8.106 A 151315 \n1 211.242170 8.106 A 151315 \n2 211.289143 8.106 A 151315 \n3 211.319643 8.106 A 151315 \n4 211.350143 8.106 A 151315 \n... ... ... ... ... \n421565 192.013558 8.684 B 118221 \n421566 192.170412 8.667 B 118221 \n421567 192.327265 8.667 B 118221 \n421568 192.330854 8.667 B 118221 \n421569 192.308899 8.667 B 118221 \n\n[421570 rows x 16 columns]","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Dept</th>\n <th>Date</th>\n <th>Weekly_Sales</th>\n <th>IsHoliday</th>\n <th>Temperature</th>\n <th>Fuel_Price</th>\n <th>MarkDown1</th>\n <th>MarkDown2</th>\n <th>MarkDown3</th>\n <th>MarkDown4</th>\n <th>MarkDown5</th>\n <th>CPI</th>\n <th>Unemployment</th>\n <th>Type</th>\n <th>Size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-05</td>\n <td>24924.50</td>\n <td>False</td>\n <td>42.31</td>\n <td>2.572</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.096358</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-12</td>\n <td>46039.49</td>\n <td>True</td>\n <td>38.51</td>\n <td>2.548</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.242170</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>2</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-19</td>\n <td>41595.55</td>\n <td>False</td>\n <td>39.93</td>\n <td>2.514</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.289143</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>1</td>\n <td>2010-02-26</td>\n <td>19403.54</td>\n <td>False</td>\n <td>46.63</td>\n <td>2.561</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.319643</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1</td>\n <td>1</td>\n <td>2010-03-05</td>\n <td>21827.90</td>\n <td>False</td>\n <td>46.50</td>\n <td>2.625</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.350143</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>421565</th>\n <td>45</td>\n <td>98</td>\n <td>2012-09-28</td>\n <td>508.37</td>\n <td>False</td>\n <td>64.88</td>\n <td>3.997</td>\n <td>4556.61</td>\n <td>20.64</td>\n <td>1.50</td>\n <td>1601.01</td>\n <td>3288.25</td>\n <td>192.013558</td>\n <td>8.684</td>\n <td>B</td>\n <td>118221</td>\n </tr>\n <tr>\n <th>421566</th>\n <td>45</td>\n <td>98</td>\n <td>2012-10-05</td>\n <td>628.10</td>\n <td>False</td>\n <td>64.89</td>\n <td>3.985</td>\n <td>5046.74</td>\n <td>NaN</td>\n <td>18.82</td>\n <td>2253.43</td>\n <td>2340.01</td>\n <td>192.170412</td>\n <td>8.667</td>\n <td>B</td>\n <td>118221</td>\n </tr>\n <tr>\n <th>421567</th>\n <td>45</td>\n <td>98</td>\n <td>2012-10-12</td>\n <td>1061.02</td>\n <td>False</td>\n <td>54.47</td>\n <td>4.000</td>\n <td>1956.28</td>\n <td>NaN</td>\n <td>7.89</td>\n <td>599.32</td>\n <td>3990.54</td>\n <td>192.327265</td>\n <td>8.667</td>\n <td>B</td>\n <td>118221</td>\n </tr>\n <tr>\n <th>421568</th>\n <td>45</td>\n <td>98</td>\n <td>2012-10-19</td>\n <td>760.01</td>\n <td>False</td>\n <td>56.47</td>\n <td>3.969</td>\n <td>2004.02</td>\n <td>NaN</td>\n <td>3.18</td>\n <td>437.73</td>\n <td>1537.49</td>\n <td>192.330854</td>\n <td>8.667</td>\n <td>B</td>\n <td>118221</td>\n </tr>\n <tr>\n <th>421569</th>\n <td>45</td>\n <td>98</td>\n <td>2012-10-26</td>\n <td>1076.80</td>\n <td>False</td>\n <td>58.85</td>\n <td>3.882</td>\n <td>4018.91</td>\n <td>58.08</td>\n <td>100.00</td>\n <td>211.94</td>\n <td>858.33</td>\n <td>192.308899</td>\n <td>8.667</td>\n <td>B</td>\n <td>118221</td>\n </tr>\n </tbody>\n</table>\n<p>421570 rows × 16 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Train data are too large to process so we can take only sample of it.\ntrain_df = train_df[0:1000]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.966610Z","iopub.execute_input":"2021-08-07T19:14:04.967026Z","iopub.status.idle":"2021-08-07T19:14:04.971973Z","shell.execute_reply.started":"2021-08-07T19:14:04.966981Z","shell.execute_reply":"2021-08-07T19:14:04.970938Z"},"trusted":true},"execution_count":42,"outputs":[]},{"cell_type":"code","source":"train_df.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.973369Z","iopub.execute_input":"2021-08-07T19:14:04.973692Z","iopub.status.idle":"2021-08-07T19:14:04.988144Z","shell.execute_reply.started":"2021-08-07T19:14:04.973663Z","shell.execute_reply":"2021-08-07T19:14:04.987055Z"},"trusted":true},"execution_count":43,"outputs":[{"execution_count":43,"output_type":"execute_result","data":{"text/plain":"(1000, 16)"},"metadata":{}}]},{"cell_type":"code","source":"# Creating a copy of this dataset to generate seasonality trends later\ntdf = train_df.copy()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:04.989541Z","iopub.execute_input":"2021-08-07T19:14:04.989846Z","iopub.status.idle":"2021-08-07T19:14:05.001376Z","shell.execute_reply.started":"2021-08-07T19:14:04.989817Z","shell.execute_reply":"2021-08-07T19:14:05.000137Z"},"trusted":true},"execution_count":44,"outputs":[]},{"cell_type":"markdown","source":"## 2. Data Exploration","metadata":{}},{"cell_type":"code","source":"train_df.info()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.004371Z","iopub.execute_input":"2021-08-07T19:14:05.004847Z","iopub.status.idle":"2021-08-07T19:14:05.037024Z","shell.execute_reply.started":"2021-08-07T19:14:05.004802Z","shell.execute_reply":"2021-08-07T19:14:05.035680Z"},"trusted":true},"execution_count":45,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nInt64Index: 1000 entries, 0 to 999\nData columns (total 16 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Store 1000 non-null int64 \n 1 Dept 1000 non-null int64 \n 2 Date 1000 non-null object \n 3 Weekly_Sales 1000 non-null float64\n 4 IsHoliday 1000 non-null bool \n 5 Temperature 1000 non-null float64\n 6 Fuel_Price 1000 non-null float64\n 7 MarkDown1 356 non-null float64\n 8 MarkDown2 293 non-null float64\n 9 MarkDown3 349 non-null float64\n 10 MarkDown4 356 non-null float64\n 11 MarkDown5 356 non-null float64\n 12 CPI 1000 non-null float64\n 13 Unemployment 1000 non-null float64\n 14 Type 1000 non-null object \n 15 Size 1000 non-null int64 \ndtypes: bool(1), float64(10), int64(3), object(2)\nmemory usage: 126.0+ KB\n","output_type":"stream"}]},{"cell_type":"code","source":"# Set Date column as Index\ntrain_df.set_index('Date',inplace=True)\ntrain_df.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.038864Z","iopub.execute_input":"2021-08-07T19:14:05.039174Z","iopub.status.idle":"2021-08-07T19:14:05.067160Z","shell.execute_reply.started":"2021-08-07T19:14:05.039144Z","shell.execute_reply":"2021-08-07T19:14:05.066057Z"},"trusted":true},"execution_count":46,"outputs":[{"execution_count":46,"output_type":"execute_result","data":{"text/plain":" Store Dept Weekly_Sales IsHoliday Temperature Fuel_Price \\\nDate \n2010-02-05 1 1 24924.50 False 42.31 2.572 \n2010-02-12 1 1 46039.49 True 38.51 2.548 \n2010-02-19 1 1 41595.55 False 39.93 2.514 \n2010-02-26 1 1 19403.54 False 46.63 2.561 \n2010-03-05 1 1 21827.90 False 46.50 2.625 \n\n MarkDown1 MarkDown2 MarkDown3 MarkDown4 MarkDown5 CPI \\\nDate \n2010-02-05 NaN NaN NaN NaN NaN 211.096358 \n2010-02-12 NaN NaN NaN NaN NaN 211.242170 \n2010-02-19 NaN NaN NaN NaN NaN 211.289143 \n2010-02-26 NaN NaN NaN NaN NaN 211.319643 \n2010-03-05 NaN NaN NaN NaN NaN 211.350143 \n\n Unemployment Type Size \nDate \n2010-02-05 8.106 A 151315 \n2010-02-12 8.106 A 151315 \n2010-02-19 8.106 A 151315 \n2010-02-26 8.106 A 151315 \n2010-03-05 8.106 A 151315 ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Dept</th>\n <th>Weekly_Sales</th>\n <th>IsHoliday</th>\n <th>Temperature</th>\n <th>Fuel_Price</th>\n <th>MarkDown1</th>\n <th>MarkDown2</th>\n <th>MarkDown3</th>\n <th>MarkDown4</th>\n <th>MarkDown5</th>\n <th>CPI</th>\n <th>Unemployment</th>\n <th>Type</th>\n <th>Size</th>\n </tr>\n <tr>\n <th>Date</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>2010-02-05</th>\n <td>1</td>\n <td>1</td>\n <td>24924.50</td>\n <td>False</td>\n <td>42.31</td>\n <td>2.572</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.096358</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>2010-02-12</th>\n <td>1</td>\n <td>1</td>\n <td>46039.49</td>\n <td>True</td>\n <td>38.51</td>\n <td>2.548</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.242170</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>2010-02-19</th>\n <td>1</td>\n <td>1</td>\n <td>41595.55</td>\n <td>False</td>\n <td>39.93</td>\n <td>2.514</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.289143</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>2010-02-26</th>\n <td>1</td>\n <td>1</td>\n <td>19403.54</td>\n <td>False</td>\n <td>46.63</td>\n <td>2.561</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.319643</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n <tr>\n <th>2010-03-05</th>\n <td>1</td>\n <td>1</td>\n <td>21827.90</td>\n <td>False</td>\n <td>46.50</td>\n <td>2.625</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>211.350143</td>\n <td>8.106</td>\n <td>A</td>\n <td>151315</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"train_df.info()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.068467Z","iopub.execute_input":"2021-08-07T19:14:05.068784Z","iopub.status.idle":"2021-08-07T19:14:05.086962Z","shell.execute_reply.started":"2021-08-07T19:14:05.068753Z","shell.execute_reply":"2021-08-07T19:14:05.085611Z"},"trusted":true},"execution_count":47,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nIndex: 1000 entries, 2010-02-05 to 2012-10-19\nData columns (total 15 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Store 1000 non-null int64 \n 1 Dept 1000 non-null int64 \n 2 Weekly_Sales 1000 non-null float64\n 3 IsHoliday 1000 non-null bool \n 4 Temperature 1000 non-null float64\n 5 Fuel_Price 1000 non-null float64\n 6 MarkDown1 356 non-null float64\n 7 MarkDown2 293 non-null float64\n 8 MarkDown3 349 non-null float64\n 9 MarkDown4 356 non-null float64\n 10 MarkDown5 356 non-null float64\n 11 CPI 1000 non-null float64\n 12 Unemployment 1000 non-null float64\n 13 Type 1000 non-null object \n 14 Size 1000 non-null int64 \ndtypes: bool(1), float64(10), int64(3), object(1)\nmemory usage: 118.2+ KB\n","output_type":"stream"}]},{"cell_type":"code","source":"train_df.describe().transpose()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.088415Z","iopub.execute_input":"2021-08-07T19:14:05.088725Z","iopub.status.idle":"2021-08-07T19:14:05.147859Z","shell.execute_reply.started":"2021-08-07T19:14:05.088697Z","shell.execute_reply":"2021-08-07T19:14:05.146655Z"},"trusted":true},"execution_count":48,"outputs":[{"execution_count":48,"output_type":"execute_result","data":{"text/plain":" count mean std min \\\nStore 1000.0 1.000000 0.000000 1.000000 \nDept 1000.0 3.997000 1.999747 1.000000 \nWeekly_Sales 1000.0 24625.494550 16160.191742 -139.650000 \nTemperature 1000.0 68.305930 14.214754 35.400000 \nFuel_Price 1000.0 3.219413 0.426145 2.514000 \nMarkDown1 356.0 8106.229522 6553.675601 410.310000 \nMarkDown2 293.0 2951.245734 7885.287497 0.500000 \nMarkDown3 349.0 1228.894384 7822.876343 0.250000 \nMarkDown4 356.0 3753.637865 5955.525477 8.000000 \nMarkDown5 356.0 5029.086489 3252.668361 554.920000 \nCPI 1000.0 215.989444 4.333581 210.337426 \nUnemployment 1000.0 7.611457 0.381376 6.573000 \nSize 1000.0 151315.000000 0.000000 151315.000000 \n\n 25% 50% 75% max \nStore 1.000000 1.000000 1.000000 1.000000 \nDept 2.000000 4.000000 6.000000 7.000000 \nWeekly_Sales 12386.077500 20405.960000 36912.142500 166697.720000 \nTemperature 57.790000 69.640000 80.490000 91.650000 \nFuel_Price 2.759000 3.290000 3.594000 3.907000 \nMarkDown1 4039.390000 6154.140000 10121.970000 34577.060000 \nMarkDown2 40.480000 151.880000 1569.000000 46011.380000 \nMarkDown3 6.000000 30.230000 101.640000 55805.510000 \nMarkDown4 577.140000 1822.550000 3750.590000 32403.870000 \nMarkDown5 3127.880000 4325.190000 6222.250000 20475.320000 \nCPI 211.531248 215.459905 220.636902 223.444251 \nUnemployment 7.348000 7.787000 7.838000 8.106000 \nSize 151315.000000 151315.000000 151315.000000 151315.000000 ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>count</th>\n <th>mean</th>\n <th>std</th>\n <th>min</th>\n <th>25%</th>\n <th>50%</th>\n <th>75%</th>\n <th>max</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>Store</th>\n <td>1000.0</td>\n <td>1.000000</td>\n <td>0.000000</td>\n <td>1.000000</td>\n <td>1.000000</td>\n <td>1.000000</td>\n <td>1.000000</td>\n <td>1.000000</td>\n </tr>\n <tr>\n <th>Dept</th>\n <td>1000.0</td>\n <td>3.997000</td>\n <td>1.999747</td>\n <td>1.000000</td>\n <td>2.000000</td>\n <td>4.000000</td>\n <td>6.000000</td>\n <td>7.000000</td>\n </tr>\n <tr>\n <th>Weekly_Sales</th>\n <td>1000.0</td>\n <td>24625.494550</td>\n <td>16160.191742</td>\n <td>-139.650000</td>\n <td>12386.077500</td>\n <td>20405.960000</td>\n <td>36912.142500</td>\n <td>166697.720000</td>\n </tr>\n <tr>\n <th>Temperature</th>\n <td>1000.0</td>\n <td>68.305930</td>\n <td>14.214754</td>\n <td>35.400000</td>\n <td>57.790000</td>\n <td>69.640000</td>\n <td>80.490000</td>\n <td>91.650000</td>\n </tr>\n <tr>\n <th>Fuel_Price</th>\n <td>1000.0</td>\n <td>3.219413</td>\n <td>0.426145</td>\n <td>2.514000</td>\n <td>2.759000</td>\n <td>3.290000</td>\n <td>3.594000</td>\n <td>3.907000</td>\n </tr>\n <tr>\n <th>MarkDown1</th>\n <td>356.0</td>\n <td>8106.229522</td>\n <td>6553.675601</td>\n <td>410.310000</td>\n <td>4039.390000</td>\n <td>6154.140000</td>\n <td>10121.970000</td>\n <td>34577.060000</td>\n </tr>\n <tr>\n <th>MarkDown2</th>\n <td>293.0</td>\n <td>2951.245734</td>\n <td>7885.287497</td>\n <td>0.500000</td>\n <td>40.480000</td>\n <td>151.880000</td>\n <td>1569.000000</td>\n <td>46011.380000</td>\n </tr>\n <tr>\n <th>MarkDown3</th>\n <td>349.0</td>\n <td>1228.894384</td>\n <td>7822.876343</td>\n <td>0.250000</td>\n <td>6.000000</td>\n <td>30.230000</td>\n <td>101.640000</td>\n <td>55805.510000</td>\n </tr>\n <tr>\n <th>MarkDown4</th>\n <td>356.0</td>\n <td>3753.637865</td>\n <td>5955.525477</td>\n <td>8.000000</td>\n <td>577.140000</td>\n <td>1822.550000</td>\n <td>3750.590000</td>\n <td>32403.870000</td>\n </tr>\n <tr>\n <th>MarkDown5</th>\n <td>356.0</td>\n <td>5029.086489</td>\n <td>3252.668361</td>\n <td>554.920000</td>\n <td>3127.880000</td>\n <td>4325.190000</td>\n <td>6222.250000</td>\n <td>20475.320000</td>\n </tr>\n <tr>\n <th>CPI</th>\n <td>1000.0</td>\n <td>215.989444</td>\n <td>4.333581</td>\n <td>210.337426</td>\n <td>211.531248</td>\n <td>215.459905</td>\n <td>220.636902</td>\n <td>223.444251</td>\n </tr>\n <tr>\n <th>Unemployment</th>\n <td>1000.0</td>\n <td>7.611457</td>\n <td>0.381376</td>\n <td>6.573000</td>\n <td>7.348000</td>\n <td>7.787000</td>\n <td>7.838000</td>\n <td>8.106000</td>\n </tr>\n <tr>\n <th>Size</th>\n <td>1000.0</td>\n <td>151315.000000</td>\n <td>0.000000</td>\n <td>151315.000000</td>\n <td>151315.000000</td>\n <td>151315.000000</td>\n <td>151315.000000</td>\n <td>151315.000000</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Check correlation between features of data\ntrain_df.corr()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.149417Z","iopub.execute_input":"2021-08-07T19:14:05.149877Z","iopub.status.idle":"2021-08-07T19:14:05.182394Z","shell.execute_reply.started":"2021-08-07T19:14:05.149830Z","shell.execute_reply":"2021-08-07T19:14:05.181497Z"},"trusted":true},"execution_count":49,"outputs":[{"execution_count":49,"output_type":"execute_result","data":{"text/plain":" Store Dept Weekly_Sales IsHoliday Temperature \\\nStore NaN NaN NaN NaN NaN \nDept NaN 1.000000 -0.289096 0.000412 -0.000090 \nWeekly_Sales NaN -0.289096 1.000000 0.065624 -0.109354 \nIsHoliday NaN 0.000412 0.065624 1.000000 -0.200534 \nTemperature NaN -0.000090 -0.109354 -0.200534 1.000000 \nFuel_Price NaN -0.001010 -0.043518 -0.085741 0.228504 \nMarkDown1 NaN 0.003560 -0.014272 -0.079498 0.129475 \nMarkDown2 NaN 0.001903 -0.000333 0.426018 -0.467303 \nMarkDown3 NaN 0.000674 0.145094 0.484914 -0.087054 \nMarkDown4 NaN 0.001914 0.005463 -0.017572 0.025940 \nMarkDown5 NaN 0.004839 -0.000343 -0.116993 -0.292962 \nCPI NaN -0.002583 -0.009540 -0.028491 0.118575 \nUnemployment NaN 0.004089 0.042035 0.082512 -0.181200 \nSize NaN NaN NaN NaN NaN \n\n Fuel_Price MarkDown1 MarkDown2 MarkDown3 MarkDown4 \\\nStore NaN NaN NaN NaN NaN \nDept -0.001010 0.003560 0.001903 0.000674 0.001914 \nWeekly_Sales -0.043518 -0.014272 -0.000333 0.145094 0.005463 \nIsHoliday -0.085741 -0.079498 0.426018 0.484914 -0.017572 \nTemperature 0.228504 0.129475 -0.467303 -0.087054 0.025940 \nFuel_Price 1.000000 0.093023 -0.300813 -0.179139 0.011142 \nMarkDown1 0.093023 1.000000 -0.016688 -0.171826 0.770142 \nMarkDown2 -0.300813 -0.016688 1.000000 -0.056416 -0.034996 \nMarkDown3 -0.179139 -0.171826 -0.056416 1.000000 -0.093749 \nMarkDown4 0.011142 0.770142 -0.034996 -0.093749 1.000000 \nMarkDown5 -0.235549 0.101737 0.038105 -0.180704 0.093362 \nCPI 0.755389 0.027646 -0.310438 -0.296207 -0.004933 \nUnemployment -0.514131 -0.070845 0.315105 0.274643 -0.059551 \nSize NaN NaN NaN NaN NaN \n\n MarkDown5 CPI Unemployment Size \nStore NaN NaN NaN NaN \nDept 0.004839 -0.002583 0.004089 NaN \nWeekly_Sales -0.000343 -0.009540 0.042035 NaN \nIsHoliday -0.116993 -0.028491 0.082512 NaN \nTemperature -0.292962 0.118575 -0.181200 NaN \nFuel_Price -0.235549 0.755389 -0.514131 NaN \nMarkDown1 0.101737 0.027646 -0.070845 NaN \nMarkDown2 0.038105 -0.310438 0.315105 NaN \nMarkDown3 -0.180704 -0.296207 0.274643 NaN \nMarkDown4 0.093362 -0.004933 -0.059551 NaN \nMarkDown5 1.000000 -0.301571 0.301710 NaN \nCPI -0.301571 1.000000 -0.813004 NaN \nUnemployment 0.301710 -0.813004 1.000000 NaN \nSize NaN NaN NaN NaN ","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Store</th>\n <th>Dept</th>\n <th>Weekly_Sales</th>\n <th>IsHoliday</th>\n <th>Temperature</th>\n <th>Fuel_Price</th>\n <th>MarkDown1</th>\n <th>MarkDown2</th>\n <th>MarkDown3</th>\n <th>MarkDown4</th>\n <th>MarkDown5</th>\n <th>CPI</th>\n <th>Unemployment</th>\n <th>Size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>Store</th>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Dept</th>\n <td>NaN</td>\n <td>1.000000</td>\n <td>-0.289096</td>\n <td>0.000412</td>\n <td>-0.000090</td>\n <td>-0.001010</td>\n <td>0.003560</td>\n <td>0.001903</td>\n <td>0.000674</td>\n <td>0.001914</td>\n <td>0.004839</td>\n <td>-0.002583</td>\n <td>0.004089</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Weekly_Sales</th>\n <td>NaN</td>\n <td>-0.289096</td>\n <td>1.000000</td>\n <td>0.065624</td>\n <td>-0.109354</td>\n <td>-0.043518</td>\n <td>-0.014272</td>\n <td>-0.000333</td>\n <td>0.145094</td>\n <td>0.005463</td>\n <td>-0.000343</td>\n <td>-0.009540</td>\n <td>0.042035</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>IsHoliday</th>\n <td>NaN</td>\n <td>0.000412</td>\n <td>0.065624</td>\n <td>1.000000</td>\n <td>-0.200534</td>\n <td>-0.085741</td>\n <td>-0.079498</td>\n <td>0.426018</td>\n <td>0.484914</td>\n <td>-0.017572</td>\n <td>-0.116993</td>\n <td>-0.028491</td>\n <td>0.082512</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Temperature</th>\n <td>NaN</td>\n <td>-0.000090</td>\n <td>-0.109354</td>\n <td>-0.200534</td>\n <td>1.000000</td>\n <td>0.228504</td>\n <td>0.129475</td>\n <td>-0.467303</td>\n <td>-0.087054</td>\n <td>0.025940</td>\n <td>-0.292962</td>\n <td>0.118575</td>\n <td>-0.181200</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Fuel_Price</th>\n <td>NaN</td>\n <td>-0.001010</td>\n <td>-0.043518</td>\n <td>-0.085741</td>\n <td>0.228504</td>\n <td>1.000000</td>\n <td>0.093023</td>\n <td>-0.300813</td>\n <td>-0.179139</td>\n <td>0.011142</td>\n <td>-0.235549</td>\n <td>0.755389</td>\n <td>-0.514131</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>MarkDown1</th>\n <td>NaN</td>\n <td>0.003560</td>\n <td>-0.014272</td>\n <td>-0.079498</td>\n <td>0.129475</td>\n <td>0.093023</td>\n <td>1.000000</td>\n <td>-0.016688</td>\n <td>-0.171826</td>\n <td>0.770142</td>\n <td>0.101737</td>\n <td>0.027646</td>\n <td>-0.070845</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>MarkDown2</th>\n <td>NaN</td>\n <td>0.001903</td>\n <td>-0.000333</td>\n <td>0.426018</td>\n <td>-0.467303</td>\n <td>-0.300813</td>\n <td>-0.016688</td>\n <td>1.000000</td>\n <td>-0.056416</td>\n <td>-0.034996</td>\n <td>0.038105</td>\n <td>-0.310438</td>\n <td>0.315105</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>MarkDown3</th>\n <td>NaN</td>\n <td>0.000674</td>\n <td>0.145094</td>\n <td>0.484914</td>\n <td>-0.087054</td>\n <td>-0.179139</td>\n <td>-0.171826</td>\n <td>-0.056416</td>\n <td>1.000000</td>\n <td>-0.093749</td>\n <td>-0.180704</td>\n <td>-0.296207</td>\n <td>0.274643</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>MarkDown4</th>\n <td>NaN</td>\n <td>0.001914</td>\n <td>0.005463</td>\n <td>-0.017572</td>\n <td>0.025940</td>\n <td>0.011142</td>\n <td>0.770142</td>\n <td>-0.034996</td>\n <td>-0.093749</td>\n <td>1.000000</td>\n <td>0.093362</td>\n <td>-0.004933</td>\n <td>-0.059551</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>MarkDown5</th>\n <td>NaN</td>\n <td>0.004839</td>\n <td>-0.000343</td>\n <td>-0.116993</td>\n <td>-0.292962</td>\n <td>-0.235549</td>\n <td>0.101737</td>\n <td>0.038105</td>\n <td>-0.180704</td>\n <td>0.093362</td>\n <td>1.000000</td>\n <td>-0.301571</td>\n <td>0.301710</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>CPI</th>\n <td>NaN</td>\n <td>-0.002583</td>\n <td>-0.009540</td>\n <td>-0.028491</td>\n <td>0.118575</td>\n <td>0.755389</td>\n <td>0.027646</td>\n <td>-0.310438</td>\n <td>-0.296207</td>\n <td>-0.004933</td>\n <td>-0.301571</td>\n <td>1.000000</td>\n <td>-0.813004</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Unemployment</th>\n <td>NaN</td>\n <td>0.004089</td>\n <td>0.042035</td>\n <td>0.082512</td>\n <td>-0.181200</td>\n <td>-0.514131</td>\n <td>-0.070845</td>\n <td>0.315105</td>\n <td>0.274643</td>\n <td>-0.059551</td>\n <td>0.301710</td>\n <td>-0.813004</td>\n <td>1.000000</td>\n <td>NaN</td>\n </tr>\n <tr>\n <th>Size</th>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>NaN</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Check correlation of other features with Weekly Sales.\ntrain_df.corr()['Weekly_Sales'].sort_values(ascending= False)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.184499Z","iopub.execute_input":"2021-08-07T19:14:05.184930Z","iopub.status.idle":"2021-08-07T19:14:05.196773Z","shell.execute_reply.started":"2021-08-07T19:14:05.184886Z","shell.execute_reply":"2021-08-07T19:14:05.195666Z"},"trusted":true},"execution_count":50,"outputs":[{"execution_count":50,"output_type":"execute_result","data":{"text/plain":"Weekly_Sales 1.000000\nMarkDown3 0.145094\nIsHoliday 0.065624\nUnemployment 0.042035\nMarkDown4 0.005463\nMarkDown2 -0.000333\nMarkDown5 -0.000343\nCPI -0.009540\nMarkDown1 -0.014272\nFuel_Price -0.043518\nTemperature -0.109354\nDept -0.289096\nStore NaN\nSize NaN\nName: Weekly_Sales, dtype: float64"},"metadata":{}}]},{"cell_type":"markdown","source":"## 3. Data Cleaning","metadata":{}},{"cell_type":"code","source":"# Check for missing values\ntrain_df.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.198082Z","iopub.execute_input":"2021-08-07T19:14:05.198361Z","iopub.status.idle":"2021-08-07T19:14:05.209331Z","shell.execute_reply.started":"2021-08-07T19:14:05.198335Z","shell.execute_reply":"2021-08-07T19:14:05.208290Z"},"trusted":true},"execution_count":51,"outputs":[{"execution_count":51,"output_type":"execute_result","data":{"text/plain":"Store 0\nDept 0\nWeekly_Sales 0\nIsHoliday 0\nTemperature 0\nFuel_Price 0\nMarkDown1 644\nMarkDown2 707\nMarkDown3 651\nMarkDown4 644\nMarkDown5 644\nCPI 0\nUnemployment 0\nType 0\nSize 0\ndtype: int64"},"metadata":{}}]},{"cell_type":"markdown","source":"- We can see only MarkDown columns have missing values.\n- Missing values in Markdown columns probably means that there is no markdown, so we can fill those by 0.","metadata":{}},{"cell_type":"code","source":"train_df = train_df.fillna(0)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.210509Z","iopub.execute_input":"2021-08-07T19:14:05.210833Z","iopub.status.idle":"2021-08-07T19:14:05.218130Z","shell.execute_reply.started":"2021-08-07T19:14:05.210804Z","shell.execute_reply":"2021-08-07T19:14:05.217142Z"},"trusted":true},"execution_count":52,"outputs":[]},{"cell_type":"code","source":"train_df.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.219451Z","iopub.execute_input":"2021-08-07T19:14:05.219829Z","iopub.status.idle":"2021-08-07T19:14:05.237707Z","shell.execute_reply.started":"2021-08-07T19:14:05.219777Z","shell.execute_reply":"2021-08-07T19:14:05.236798Z"},"trusted":true},"execution_count":53,"outputs":[{"execution_count":53,"output_type":"execute_result","data":{"text/plain":"Store 0\nDept 0\nWeekly_Sales 0\nIsHoliday 0\nTemperature 0\nFuel_Price 0\nMarkDown1 0\nMarkDown2 0\nMarkDown3 0\nMarkDown4 0\nMarkDown5 0\nCPI 0\nUnemployment 0\nType 0\nSize 0\ndtype: int64"},"metadata":{}}]},{"cell_type":"markdown","source":"## 4. Data Visualization","metadata":{}},{"cell_type":"code","source":"# Let's check distribution of dependent feature\nplt.figure(figsize=(13,5))\nsb.distplot(train_df['Weekly_Sales'],bins=50,color='purple')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.240571Z","iopub.execute_input":"2021-08-07T19:14:05.241027Z","iopub.status.idle":"2021-08-07T19:14:05.768847Z","shell.execute_reply.started":"2021-08-07T19:14:05.240982Z","shell.execute_reply":"2021-08-07T19:14:05.768048Z"},"trusted":true},"execution_count":54,"outputs":[{"execution_count":54,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='Weekly_Sales', ylabel='Density'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 936x360 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- The dependent variable is positively skewed.","metadata":{}},{"cell_type":"code","source":"# Lets separate numerical data aside\ndf_numeric = train_df.select_dtypes(exclude = [\"object\",\"bool\"])","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.770177Z","iopub.execute_input":"2021-08-07T19:14:05.770706Z","iopub.status.idle":"2021-08-07T19:14:05.776573Z","shell.execute_reply.started":"2021-08-07T19:14:05.770663Z","shell.execute_reply":"2021-08-07T19:14:05.775448Z"},"trusted":true},"execution_count":55,"outputs":[]},{"cell_type":"code","source":"df_numeric.hist(figsize=(18,12))\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:05.778123Z","iopub.execute_input":"2021-08-07T19:14:05.778507Z","iopub.status.idle":"2021-08-07T19:14:07.762563Z","shell.execute_reply.started":"2021-08-07T19:14:05.778475Z","shell.execute_reply":"2021-08-07T19:14:07.761329Z"},"trusted":true},"execution_count":56,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1296x864 with 16 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"# Plot heatmap of correlation between features\nplt.figure(figsize=(20, 10))\nsb.heatmap(train_df.corr(),yticklabels=True,annot=True,cbar=True,cmap='Spectral_r')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:07.764379Z","iopub.execute_input":"2021-08-07T19:14:07.764825Z","iopub.status.idle":"2021-08-07T19:14:09.212943Z","shell.execute_reply.started":"2021-08-07T19:14:07.764779Z","shell.execute_reply":"2021-08-07T19:14:09.211801Z"},"trusted":true},"execution_count":57,"outputs":[{"execution_count":57,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x720 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"# visualising Sales by various features\nfig, ax = plt.subplots(2, 2, figsize= (18,10))\nax[0,0].scatter(train_df['Temperature'], train_df['Weekly_Sales'])\nax[0,0].set_title('Weekly Sales by Temperature',fontsize=15)\n\nax[0,1].scatter(train_df['Fuel_Price'], train_df['Weekly_Sales'],color='violet')\nax[0,1].set_title('Weekly Sales by fuel price',fontsize=15)\n\nax[1,0].scatter(train_df['Dept'], train_df['Weekly_Sales'],color='violet')\nax[1,0].set_title('Weekly Sales by Departments',fontsize=15)\n\nax[1,1].scatter(train_df['CPI'], train_df['Weekly_Sales'])\nax[1,1].set_title('Weekly Sales by CPI',fontsize=15)\nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2021-08-07T19:14:09.214402Z","iopub.execute_input":"2021-08-07T19:14:09.214955Z","iopub.status.idle":"2021-08-07T19:14:09.981733Z","shell.execute_reply.started":"2021-08-07T19:14:09.214910Z","shell.execute_reply":"2021-08-07T19:14:09.980674Z"},"trusted":true},"execution_count":58,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1296x720 with 4 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAABC4AAAJQCAYAAABB1yUtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOy9f5wcVZnv/3m605npAZ0ZNLIwJICC4YqDCeQKyq5rWDVKBLKgIq4r7nV1vatfBSEu7OIShL1kjS7KvXfd1YVFr4rhl0MwuNGFsK4oYEICY5CsUX6EAQVNZiBMz6Qzfb5/nKqe6upzqk5VV/+Ymc/79cor06erTp1z6lT1eZ7z/BClFAghhBBCCCGEEEI6kVy7G0AIIYQQQgghhBBig4oLQgghhBBCCCGEdCxUXBBCCCGEEEIIIaRjoeKCEEIIIYQQQgghHQsVF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFBel4RORDIqJE5IhQ+d975e8Plb/VK39jhm04yqvznRHHfNA75uAMrneGiNwrIqMi8ryI7BCRf0pat4jcIyK3NNoeh+vcICJbmlDvPd6YRv1bk/V1Ow0Ref1c6CchhMwmuH6Zu+uXQP1nicjPRWS/iDyecd1v9u7ba7OsN3SNzOYGIY1CxQWZCfzY+z/8Q/5GAOOW8kkAW5vcrqYgIucB2ABgGMB5AN4D4GsA/gBAX/ta1hb+EsAbAv8eBXBnqOxf2ta61vF6AJe3uxGEEEISwfXL3F2/QETyAL4O4CEApwH44/a2KBUbodda4+1uCCHz2t0AQhx4FMAe6B/0mwBARAoAlgG4AeYf/q1KqckWtjFLPg7gTqXURwNl/wbgcyIibWpTW1BKPRL8LCIvAnhOKXVfm5qUGSJSVEqV5tq1CSFkDsH1yxxdv3gcBuClAL6llPpRuxuTBE/pkldKPQfguXa3hxCAFhdkBqCUUgB+gtof+KXe//8I4LUi8hIAEJEcgJMB3OsfKCJ/ICL/ISLjIvI7Efmqf3zgmEUi8m0R2eMdt0lEFke1S0SWi8gLIvK/LN8/ICI3GMpvEJFtEVX3Afi16QtvLPx6LhKRn4rImIj8RkTuEJFjotrsnfdaEdnotf0FEblZRH4v8H1BRD4vIk+KyKSIPC0i3xGR+Q51rxKRR0VkQkR+JCKvCXx3k4jcYzhnjdf+Qlz9lmtG3t+AmeOJnunpuIhs9z4fJCL/6o3hr7zdomDd94jILSLyERF5XERK3tgNhI7rFpHPichub8weEpHTQ8c8LiJfEJHPiMhTAJ73yt8gIhtE5BkRedFr258E2w/gf3t/++4x93if60xcxWAW7H3+lIh8UUSeg94Nc2o3IYSQdHD9Ms1cW794v927vY+3e7/Da0y/0d7xpt/zyP66INPuJG8Tke9664wnReSjoeNuEJEt3jjsADAB4GQxuIqISNFbOzzhjfNjInJ1qL4/F+0mNOkd9+kk7SbEBBUXZKbwYwBLRKTofX4DtCnlzwCMQf/YA8DxAHrh/fCLyKkA/h36h/RdAC4AcDqAf/UrFpFDAPwIwGIAH4U2bTwIwL8HrleDiKyANp/7nFLqry1tvg7Au0Iv+4O9dlwf0dcHAZwnIh8XkcMjjjsCwP8BcBaADwPIA/ixiPTaTvAWBvcC6AbwfgAfhB6zO0SquyGXAvgTAJ8B8FboMRvz6o/iSAD/AOBKAO+Dvg+bRKTb+/46AG8SkaMD7REA5wP4hlKqHFO/qT+x9zfA1wDcCOAcAALgFq9NT3vn3g/g6xLyRYaea/8fgE8B+BCAEwAMhY65BXos/xeAMwD8FMAGEVkSOu59AP4Q2gXmXK/sSOh78iHv3FsB/KtMK1E2AvhCoC1v8M5Pymro3Z8/BfCJhO0mhBCSDq5f6pkL65eNAM72/r4YCV1bHfubhOsAPOy16U4AXw4rTwAcBeBzAK4G8A4AjxnaJQBuB/A/Afxf6Dl5OYCXB45ZDeDL0Guld3p/XykiH0/RbkKmUUrxH/91/D9oYU8BeJP3eT2Add7fGwH8rff3X3jHLfA+/yeAzaG6TvOOea33+UoAvwNwSOCYfugfu495n4/yznkngDOhNdEXh+r9oHfMwd7nlwJ4EcCfBY75H9D+qy+L6OtCANu9uhSAX0H/oP5exDl5AEUALwD4QKD8HgC3BD7/PwA7AcwPlB0LYArASu/zdwF8IeH9ucFr6xsDZUcCOADgo97nHIAnAVxhuxcO19kC4IbAZ5f769+X8wPHnO6VXR8o6wVQBvA/Q+NXBrAoUHaqd+7bvc9/5H3+w1A7fgjg5sDnxwE8A6A7on8C7cL3zwDuDpR/HN6GlWHct4TKqnM1UKYAPBg6zqnd/Md//Md//Jf+H7h+mbPrF8vvcV1ZoB1bEvb3zQ5t8I/5Sqj8BwDuM4zDkpi5scL7fKblei8FsA/A5aHyz0Ir4fLtfib5b+b+o8UFmSn8FPpHxDe3fCO0+SUA3Bcq/4VS6jkR6YHWcN8kIvP8f9C7E2UAJ3nnvAX6Bf584JgXoHdEloXacQ6AmwFcpJT6fFSDlVLPY3pH2+eDADYopX4Xcd5ur21vgd5p3wPgQgAPB60BROQUEfmBiPzOG5txAAcDeHVEs94C4DsAKoG+PgYtVPt93Q7ggyLyaRE5IYFm/1mllB+IDEqpJ6DH8PXe5wr0TtEHAnV+EPqH+meO16iS4P763BX4e5f3/92B9o5B+3HWuIFAC/xPBo67F8Czfr+gx/TXAO4NteMu1M+fu5RSE6F+9IvItSLyhNfuMoCPIPo+puHO0Ock7SaEEJIOrl+4fkmDS3+T8J3Q59sAnCQ6loXPiFJqe0w9pwHYo5TaYPn+DdBWPzeH5u7dAA6FtrYhJBVUXJAZgVJqHPoH6Y3ej98RmI7W/RMAp3g/Jm/EtH9oP7Qm/x8xLRCWoXcMCtA7A4A2bzs3dEwZwPLAMT5nQv8Qh38AbFwH4A9E5JUi8iroyNpRZpZ+f6eUUncppS5WSi2D1nAfAuAiQPu0Avg+9A79X0BbAfx3aIG621wrAN3Xv0J9X1+J6b5eBW3+95fQkbB3i8gnHfr6rKXssMDnf4XeyVgu2k/3HDiMhwXX++szGvh7v6HMLw+PX1y/Xg7g91A/pmsMbfiNoa4boOffOgBvg76P1xva0SjhaydpNyGEkBRw/cL1S0pc+puEcB+fhbbwfHmgzLRGCfMyaOtRG359O1Db7s1eOdcXJDXMKkJmEvdC+y6+EcDjSik/ANQDAF4CbQ53DLR/HqCFUgUtiIV3mwEd2wDQP+QboE0uw7wQ+uzHOvi+iPxh1M4DACilfigiv4DWzIt3ze9HnWOp5/si8hCA47yitwPoAXCWUupFAPA02ofEVOUvWkx+lr/1rjUB4G8B/K2IHAvtN/tFEdmplPq3iLpfYSnbEejH4yLy79DjcTS08vTGmDbbGIXb/W0UW7/8H+49AEYArHKoSwU/eP6z74Q26f2nQLmrUnkCQDjoWL/LtZGs3YQQQtLD9QvXLz6+1WXcb3dsfxMS7uMroK1dgnWF1wkmfodahU6YPd7/74RZEbLT4RqEGKHigswkfgzgk9DBkHwzSyilnhcdAflir+her/xFEbkPwGKl1Gcj6r0LOqDVDhWfIvJ56N2D/4AO3HSaZ1IZxfWYDqb4daXUVNTBIvIKpdSzobJu6F2aYa+oCKAC/aPj8x7EP9N3QQd32qqUiv2BUkr9QkQuBvAxAK+BTmtm4xUi8kbf3NLbVTkR9YEyr4Mek+MBDCmlRuPaYWmb6/1tlBNFZJHvLuIFTHsF9IIT0GN6EYB9SqlHE9bdBb34qaa+83ZyzkTtAmK/9113yNXkKQBHhcrf5njtRtpNCCHEHa5fuH7xeRbaAuG/+QWiA5++EcATgeMS9deBPwbwvdDnrXH31MBdAD4tIu9USn3X8P1PAJQAHK6U2piuqYSYoeKCzCR808p3QC8AgvwEOjL1XgA/D5R/GsBdIlKB9td8AcAiACsB/I1S6r+gA0e9H8DdIvK/oXehD4UOqPUjpVSNRl0p9TsReSt04KzvisjbPVNQG1+DNl+cB3O2izCbRORRAHdAp9L6PejgjP3QQRsB7SuYh84+cR30j9vFqHd9CLMGWuDeKCLXQ2vaB6Cjb9+glLpHRL4D7du5DfrH511e238YU/dvAXxDRC7zzrsC+gf6htBxQ9DmrydCRwBvBJf72yjPQY/X5dBmrH8PHffCXwT9AMAmAD8Qkb+H3qF5KYAl0IE4rX1USo2JyE+hd4eeh17MXQIdWO2lgUN9xcInReRuAM8rpXZCj+VnAfyL6NR1S6EDqLmQut2EEEISwfUL1y8AdLwMEbkdwIVebKtR6E2EsOJpDWL6m/DS7xCRv4NWXJ3t1XNWii74a4dvichnoTPJHAYdfPYvlFKjIrIGwJdE5Ejosc9Bxy9ZrpT64xTXJAQAY1yQGYRS6inoqM6CwI6Fx0/88qBmWin1IwBvArAAOkLzHdCLgd3wTNiUUr8FcAq0cHgNtCnk56CzTDxsacsz0FkZjgJwm0TkCPdMQu8HcK+jIP05aDPKv4dOhXYNtCD7+0qpn3h1DkObK54MHUX7fQDe7R1nxbv+KdCBsL4CrX2/AnrH3w9Y+WNo94FvQae8OgnAOUqpLeH6QjwBvfhYA+Db0IusFeFglEqpSe+6u73+pcbl/mbAj6F9Zr8IvdvyMwTcK7z5djb0LswF0D/o/wwdoOpHDvW/Dzry+tcBfAk6HerXQ8f8J3QMjE9Cz6V/9q79M2hFxRugzYX/EMCfuXQqg3YTQghxgOsXrl9CfBzauuYfodcXNyIQLNy7lkt/k/Dn0AqXIUy7qNoCbFrx5ugfe226wGvXVQi4nCilPgcdZPwd0PfhRmhXqf9M0W5Cqkg21keEEBui86yPAPi4Uuq6dren3Xi+rE9ApyL9TLvbE4WI3APgt0qpd7W7LYQQQkgr4fqllpm0fvERkTdDB8YcVM3LgEJIS6CrCCFNwotV8BroXfIXkD4I5azA29V5HfTuysswbTZKCCGEkA6B65dauH4hpDOIdRURketF5FkR+VmgbL2IbPf+PS4i273yo0SkFPguGCX/JBEZFpFdInKtl/oJInKI6FzOv/D+7/fKxTtul4g8LCInZt57QprLSZjO0f6BGD/SucDh0P6a7wPwF57pLCGEOMH1CCEtg+uXWrh+IaQDiHUVEZE3AdgHHU34tYbvvwBgTCn1WRE5CsB3Lcc9AOAT0L5ydwK4Vin1PRH5HIA9Sqm1InIJgH6l1F+JyOnQqZtOh/aD+5JS6uRGOksIIYSQmQnXI4QQQsjcJdbiQin1Q0zn5K3B26V4D2JMyETkMAAvVUrd5wV1+Tqmg9udBR21GN7/wfKvK819APq8egghhBAyx+B6hBBCCJm7NBrj4g8A/EYp9YtA2dEisg06X/RlSqn/hE7fEzSresorA4BDvQjHAPBr6DRO8L7fbTjnGYQQkY9AR6/FQQcddNJxxx3XUKcIIYSQ2cjWrVt/q5Ra0O52NAGuRwghhJAZQNq1SKOKi/NQu7vxDIBFXp7okwAMicjxrpUppZSIJE5zopT6CnRaHixbtkxt2RKX9YgQQgiZe4jIE+1uQ5PgeoQQQgiZAaRdi6RWXHgpgc6GDuADoJrfeNL7e6uI/BLAq6FTKR0ROP0IrwwAfiMihymlnvFML5/1ykcALLScQwghhBDC9QghhBAyB4iNcRHBWwA8GoysKyILRCTv/f1KAMcC+JVnevm8iJzi+aF+AMDt3mkbAJzv/X1+qPwDXjTvU6ADbtWZZRJCCCFkTsP1CCGEEDLLcUmHeiOAnwBYLCJPiciHvK/ei/ogWG8C8LCXjuwWAB9VSvmBtP4SwL8A2AXglwC+55WvBfBWEfkF9OJjrVd+J4Bfecd/1TufEEIIIXMQrkcIIYSQuUtsOtSZBn1KCSGEEDMislUptazd7ZgLcD1CCCGE1JN2LdKIqwghhBBCCCGEEEJIU6HighBCCCGEEEIIIR1Lo+lQCZlVDG0bwbpNO/H0aAmH9xWxesVirFo60O5mEUIIIWQGMjk8iYnNE6iMVZDrzaF7eTe6Brva3SxCCJlxUHFBiMfQthFcetswSuUpAMDIaAmX3jYMAFReEEIIISQRk8OTGN84DpT158pYRX8GqLwghJCE0FWEEI91m3ZWlRY+pfIU1m3a2aYWEUIIIWSmMrF5oqq0qFL2ygkhhCSCigtCPJ4eLSUqJ4QQQgixURmrJConhBBih4oLQjwO7ysmKieEEEIIsZHrNS+zbeWEEELs8M1JiMfqFYtRLORryoqFPFavWNymFhFCCCFkptK9vBsohAoLXjkhhJBEMDgnIR5+AE5mFSGEEEJIo/gBOJlVhBBCGoeKC0ICrFo6QEUFIYQQQjKha7CLigpCCMkAuooQQgghhBBCCCGkY6HighBCCCGEEEIIIR0LFReEEEIIIYQQQgjpWKi4IIQQQgghhBBCSMdCxQUhhBBCCCGEEEI6FiouCCGEEEIIIYQQ0rFQcUEIIYQQQgghhJCOhYoLQgghhBBCCCGEdCxUXBBCCCGEEEIIIaRjoeKCEEIIIYQQQgghHQsVF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFBSGEEEIIIYQQQjoWKi4IIYQQQgghhBDSsVBxQQghhBBCCCGEkI4lVnEhIteLyLMi8rNA2RoRGRGR7d6/0wPfXSoiu0Rkp4isCJS/3SvbJSKXBMqPFpH7vfL1IjLfK+/yPu/yvj8qs14TQgghZEbB9QghhBAyd3GxuLgBwNsN5dcopZZ4/+4EABF5DYD3AjjeO+cfRSQvInkA/xfAOwC8BsB53rEA8PdeXccA2AvgQ175hwDs9cqv8Y4jhBBCyNzkBnA9QgghhMxJYhUXSqkfAtjjWN9ZAL6tlJpUSj0GYBeA13v/dimlfqWU2g/g2wDOEhEBcBqAW7zzvwZgVaCur3l/3wLgj7zjCSGEEDLH4HqEEEIImbs0EuPi4yLysGe62e+VDQDYHTjmKa/MVv4yAKNKqQOh8pq6vO/HvOPrEJGPiMgWEdny3HPPNdAlQgghhMwwuB4hhBBCZjlpFRdfBvAqAEsAPAPgC1k1KA1Kqa8opZYppZYtWLCgnU0hhBBCSOvgeoQQQgiZA6RSXCilfqOUmlJKVQB8Fdr0EgBGACwMHHqEV2Yr/x2APhGZFyqvqcv7vtc7nhBCCCGE6xFCCCFkjpBKcSEihwU+/jEAP8L3BgDv9SJwHw3gWAAPAPgpgGO9iN3zoQNmbVBKKQCbAbzLO/98ALcH6jrf+/tdAO72jieEEEII4XqEEEIImSPMiztARG4E8GYALxeRpwBcDuDNIrIEgALwOIC/AACl1A4RuQnAIwAOAPiYUmrKq+fjADYByAO4Xim1w7vEXwH4tohcBWAbgOu88usA/D8R2QUdjOu9jXaWEEIIITMTrkcIIYSQuYvMtk2DZcuWqS1btrS7GYQQQkjHISJblVLL2t2OuQDXI4QQQkg9adcijWQVIYQQQgghhBBCCGkqVFwQQgghhBBCCCGkY6HighBCCCGEEEIIIR0LFReEEEIIIYQQQgjpWKi4IIQQQgghhBBCSMdCxQUhhBBCCCGEEEI6FiouCCGEEEIIIYQQ0rFQcUEIIYQQQgghhJCOhYoLQgghhBBCCCGEdCxUXBBCCCGEEEIIIaRjoeKCEEIIIYQQQgghHQsVF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFBSGEEEIIIYQQQjoWKi4IIYQQQgghhBDSsVBxQQghhBBCCCGEkI6FigtCCCGEEEIIIYR0LFRcEEIIIYQQQgghpGOh4oIQQgghhBBCCCEdCxUXhBBCCCGEEEII6ViouCCEEEIIIYQQQkjHQsUFIYQQQgghhBBCOhYqLgghhBBCCCGEENKxUHFBCCGEEEIIIYSQjoWKC0IIIYQQQgghhHQssYoLEbleRJ4VkZ8FytaJyKMi8rCIfEdE+rzyo0SkJCLbvX//FDjnJBEZFpFdInKtiIhXfoiI/EBEfuH93++Vi3fcLu86J2bee0IIIYTMCLgeIYQQQuYuLhYXNwB4e6jsBwBeq5Q6AcB/Abg08N0vlVJLvH8fDZR/GcCHARzr/fPrvATAXUqpYwHc5X0GgHcEjv2Idz4hhBBC5iY3gOsRQgghZE4Sq7hQSv0QwJ5Q2feVUge8j/cBOCKqDhE5DMBLlVL3KaUUgK8DWOV9fRaAr3l/fy1U/nWluQ9An1cPIYQQQuYYXI8QQgghc5csYlz8DwDfC3w+WkS2ich/iMgfeGUDAJ4KHPOUVwYAhyqlnvH+/jWAQwPn7LacU4OIfEREtojIlueee66BrhBCCCFkhsL1CCGEEDJLaUhxISJ/A+AAgG96Rc8AWKSUWgrgUwC+JSIvda3P2/1QSduhlPqKUmqZUmrZggULkp5OCCGEkBkM1yOEEELI7GZe2hNF5IMA3gngj7wfeCilJgFMen9vFZFfAng1gBHUmm8e4ZUBwG9E5DCl1DOe6eWzXvkIgIWWcwghhBBCuB4hhBBC5gCpLC5E5O0APg3gTKXUeKB8gYjkvb9fCR3I6lee6eXzInKKF737AwBu907bAOB87+/zQ+Uf8KJ5nwJgLGDCSQghhJA5DtcjhBBCyNwg1uJCRG4E8GYALxeRpwBcDh21uwvAD7wsYvd5EbvfBOCzIlIGUAHwUaWUH0jrL6EjghehfVB9P9S1AG4SkQ8BeALAe7zyOwGcDmAXgHEAf9ZIR8nMYGjbCNZt2omnR0s4vK+I1SsWY9VSoysxIYSQOQTXI4TMbCaHJzGxeQKVsQpyvTl0L+9G12BXu5tFCJkhiGdVOWtYtmyZ2rJlS7ubQVIwtG0El942jFJ5qlpWLORx9dmDVF4QQkgGiMhWpdSydrdjLsD1CCHTTA5PYnzjOFAOFBaAnpU9VF4QMsdIuxbJIqsIIZmwbtPOGqUFAJTKU1i3aWebWkQIIYQQQhplYvNErdICAMpeOSGEOEDFBekYnh4tJSonhBBCCCGdT2WskqicEELCUHFBOobD+4qJygkhhBBCSOeT6zWLHLZyQggJw7cF6RhWr1iMYiFfU1Ys5LF6xeI2tYgQQgghhDRK9/JuoBAqLHjlhBDiQGxWEUJahR+Ak1lFCCGEEEJmD34ATmYVIYSkhYoL0lGsWjpARQUhhBBCyCyja7CLigpCSGroKkIIIYQQQgghhJCOhYoLQgghhBBCCCGEdCxUXBBCCCGEEEIIIaRjoeKCEEIIIYQQQgghHQsVF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFBSGEEEIIIYQQQjoWKi4IIYQQQgghhBDSsVBxQQghhBBCCCGEkI6FigtCCCGEEEIIIYR0LFRcEEIIIYQQQgghpGOh4oIQQgghhBBCCCEdCxUXhBBCCCGEEEII6ViouCCEEEIIIYQQQkjHQsUFIYQQQgghhBBCOhYqLgghhBBCCCGEENKxUHFBCCGEEEIIIYSQjoWKC0IIIYQQQgghhHQsTooLEbleRJ4VkZ8Fyg4RkR+IyC+8//u9chGRa0Vkl4g8LCInBs453zv+FyJyfqD8JBEZ9s65VkQk6hqEEEIImVtwLUIIIYTMXVwtLm4A8PZQ2SUA7lJKHQvgLu8zALwDwLHev48A+DKgf/gBXA7gZACvB3B54Mf/ywA+HDjv7THXIIQQQsjc4gZwLUIIIYTMSZwUF0qpHwLYEyo+C8DXvL+/BmBVoPzrSnMfgD4ROQzACgA/UErtUUrtBfADAG/3vnupUuo+pZQC8PVQXaZrEEIIIWQOwbUIIYQQMndpJMbFoUqpZ7y/fw3gUO/vAQC7A8c95ZVFlT9lKI+6Rg0i8hER2SIiW5577rmU3SGEEELIDKNj1iIA1yOEEEJIs8gkOKe3O6GyqCvNNZRSX1FKLVNKLVuwYEEzm0EIIYSQDqTdaxHve65HCCGEkCYwr4FzfyMihymlnvFMLJ/1ykcALAwcd4RXNgLgzaHye7zyIwzHR12DkCpD20awbtNOPD1awuF9RaxesRirlg7En0gIIWSmw7UI6QgmhycxsXkClbEKcr05dC/vRtdgV7ubRQghs4ZGLC42APCjcZ8P4PZA+Qe8iN6nABjzTCw3AXibiPR7gbDeBmCT993zInKKF8H7A6G6TNcgBIBWWlx62zBGRktQAEZGS7j0tmEMbRuJPZcQQsiMh2sR0nYmhycxvnEclbEKAKAyVsH4xnFMDk+2uWWEEDJ7cE2HeiOAnwBYLCJPiciHAKwF8FYR+QWAt3ifAeBOAL8CsAvAVwH8JQAopfYAuBLAT71/n/XK4B3zL945vwTwPa/cdg1CAADrNu1EqTxVU1YqT2Hdpp1tahEhhJBmwLUI6VQmNk8A5VBh2SsnhBCSCU6uIkqp8yxf/ZHhWAXgY5Z6rgdwvaF8C4DXGsp/Z7oGIT5Pj5YSlRNCCJmZcC1COhXf0sK1nBBCSHIyCc5JSLs4vK+YqJwQQgghJEtyvebltK2cEEJIcvhGJTOa1SsWo1jI15QVC3msXrG4TS0ihBBCyFyie3k3UAgVFrxyQgghmdBIVhFC2o6fPYRZRQghhBDSDvzsIcwqQgghzYOKCzLjWbV0gIoKQgghhLSNrsEuKioIIaSJ0FWEEEIIIYQQQgghHQsVF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFBSGEEEIIIYQQQjoWKi4IIYQQQgghhBDSsVBxQQghhBBCCCGEkI6FigtCCCGEEEIIIYR0LPPa3QBCOomhbSNYt2knnh4t4fC+IlavWIxVSwfa3SxCCCGEzEAmhycxsXkClbEKcr05dC/vRtdgV7ubRQghMw4qLgjxGNo2gktvG0apPAUAGBkt4dLbhgGAygtCCCGEJGJyeBLjG8eBsv5cGavozwCVF4QQkhC6ihDisW7TzqrSwqdUnsK6TTvb1CJCCCGEzFQmNk9UlRZVyl45IYSQRFBxQYjH06OlROWEEEIIITYqY5VE5YQQQuxQcUGIx+F9xUTlhBBCCCE2cr3mZbatnBBCiB2+OQnxWL1iMYqFfE1ZsZDH6hWL29QiQgghhMxUupd3A4VQYcErJ4QQkggG5yTEww/AyawihBBCCGkUPwAns4oQQkjjUHFBSIBVSweoqCCEEEJIJnQNdlFRQQghGUDFBSFzjKFtI7QqIYQQQsicZ3J4khYxhMwQqLggZA4xtG0El942XE37OjJawqW3DQMAlReEEEIImTNMDk9ifON4NWVtZayiPwNUXhDSgTA4JyFziHWbdlaVFj6l8hTWbdrZphYRQgghhLSeic0TVaVFlbJXTgjpOKi4IGQO8fRoKVE5IYQQQshspDJWSVROCGkvVFwQMoc4vK+YqJwQQgghZDaS6zWLQbZyQkh74ZNJyBxi9YrFKBbyNWXFQh6rVyxuU4sIIYQQQlpP9/JuoBAqLHjlhJCOI7XiQkQWi8j2wL/nReQCEVkjIiOB8tMD51wqIrtEZKeIrAiUv90r2yUilwTKjxaR+73y9SIyP31XCSGrlg7g6rMHMdBXhAAY6Cvi6rMHGZiTEDJj4XqEEJKGrsEu9KzsqVpY5Hpz6FnZw8CchHQoopRqvBKRPIARACcD+DMA+5RSnw8d8xoANwJ4PYDDAfw7gFd7X/8XgLcCeArATwGcp5R6RERuAnCbUurbIvJPAB5SSn05qi3Lli1TW7ZsabhPhBBCyGxDRLYqpZa1ux3NgusRQgghpLNJuxbJylXkjwD8Uin1RMQxZwH4tlJqUin1GIBd0IuG1wPYpZT6lVJqP4BvAzhLRATAaQBu8c7/GoBVGbWXEEIIIbMPrkcIIYSQWci8jOp5L/Tuhc/HReQDALYAuEgptRfAAID7Asc85ZUBwO5Q+ckAXgZgVCl1wHB8DSLyEQAfAYBFixY11hNCSNMZ2jaCdZt24unREg7vK2L1isV0VyGEZAHXI7OYyeFJTGyeQGWsglxvDt3Lu2nWTwghc4SGLS48P88zAdzsFX0ZwKsALAHwDIAvNHqNOJRSX1FKLVNKLVuwYEGzL0cIaYChbSO49LZhjIyWoACMjJZw6W3DGNo20u6mEUJmMFyPzG4mhycxvnG8mqqyMlbB+MZxTA5PtrllhBBCWkEWFhfvAPCgUuo3AOD/DwAi8lUA3/U+jgBYGDjvCK8MlvLfAegTkXneLkfweEJIStpt7bBu006UylM1ZaXyFNZt2kmrC0JII3A9MouZ2DwBlEOFZV1OqwuSFlrxEDJzyCLGxXkImGWKyGGB7/4YwM+8vzcAeK+IdInI0QCOBfAAdPCrY72I3fOhzTw3KB01dDOAd3nnnw/g9gzaS8icpROsHZ4eLSUqJ4QQR7gemcX4lhau5YTEQSseQmYWDVlciMhB0NG3/yJQ/DkRWQJAAXjc/04ptcOLyv0IgAMAPqaUmvLq+TiATQDyAK5XSu3w6vorAN8WkasAbANwXSPtJSRIuy0P2kEnWDv09RSwdzy8babLCSEkDVyPzH6kKFCl+kx4UpQ2tIa0kmZZRdCKh5CZRUOKC6XUi9BBq4Jlfxpx/N8B+DtD+Z0A7jSU/wo6yjchmeJbHvhCvG95AGBWKy86wdrBloE5g8zMhJA5Ctcjsx8F84+ErZzMDnyrCF/B4FtFAGhYuUArHkJmFlmlQyVkRhFleTCbObyvmKi8GYyV6q0tosoJIYQQ2PTr9DKc1URZRTRKrtcsBtnKCSHthU8mmZN0guVBO1i9YjGKhXxNWbGQx+oVi1vWhk5QnhBCCJlZUMicmzTTKqJ7eTcQ9lIteOWEkI6Db3syJ5mrwvOqpQO4+uxBDPQVIQAG+oq4+uzBlrrHdILyhBBCyMyCQubcpJkKq67BLvSs7KnWlevNoWdlD+NbENKhZJEOlZAZx+oVi2tiXABzR3hetXSgrXE8/GvPtcCohBBC0uMLk0xdObfoXt5dE+MCQKYKq67BLs4hQmYIVFyQjqJVmT4oPLeXditPCCGEzDwoZM5s0mQHocKKEOJDxQXpGFqd6YPCMyGEEEJI82kkOwgVVoQQgIoL0kSSWk9EZfqggoEQQggh7SSNxQDRRGUH4RgSQlyg4oI0hTTWE3M10wchhBBCOptGLAZIc7ODEELmBswqQppClPWEjbma6YMQQgghnU2UxQCJh+lsCSGNwrcFaQpprCdWr1iMQk5qygo5mROZPgghhBDSudBioDG6l3fXSx05prMlhLhDxQVpCqmtJyTmMyGEEEJIi6HFQAZwjUcIaQC+bUlTWL1iMYqFfE1ZsZCPtJ5Yt2knylOqpqw8pSLdS7JmaNsITl17N46+ZCNOXXs3hraNtOzahBBCCOlMupd3A4VQYSHeYmByeBJj145h75V7MXbtGCaHJ5vXyA5mYvMEMBUqnKKrDSHEHQbnJE3BD8CZJKtI2uCcSbOXRNXTynSshBBCCJkZ+AE4bVlFTBlHADCgpwddbQghjULFBWkaq5YOJBL4D+8rYsSgpIhyL8lS2cB0rIQQQgix0TXYZVQ4WDOOzANTgHrkenNGJQVdbQghrvBtQTqGtO4lSbOX2GA6VmKC7kOEEEKisGUcgWX5MBetDNK62hBCWsNMcGujxQXpGFrpXmIijcXHXCQr15yZAN2HCCGkPZhcLzrVSiGpImIuWhnEudoQQtqH1WoMneXWRsUF6Sha4V5iY/WKxTVCKhBv8THXmGuCPN2HCCGk9cyURbSPzQ1CigJ1QNVaY8xhKwObqw0hpL3YrMY6za1t7ql8yawijXuJjVVLB3DOSQPIi87PlRfBOSclU6TMdrJ0zZkJ0H2IEEJaT9QiuhOxuUEUVxRROKEwnfZTgMIJhY4SBAghZKYEz6XigsxoVi0dwNVnD2KgrwgBMNBXxNVnD6bOKnLr1hFMKZ2SdUop3Lp1hDENAsw1Qd5muUP3IUIIaR4zZRHt0zXYhZ6VPVUXkFxvDj0rewAA5YfLgJ/pXenPneg7TgiZu9jc1zrNrY2uIqQhOiHeQVL3EhvtdgvohLGMY67FAaH7ECGEtJ6ZmIHC5AYxdu3YjDC/Jp3FTIrvAsy89pJ6upd317jnAehItzYqLkhqZlu8g3ZaEzRzLLNUiMw1QT5NwFhCCCGNMVMW0XHMNMsRkoxmCOwzLb7LTGsvMTNTgudScUFS024LhaxppzVBs8YyiULERcExFwX5rCx6CCGEuDFTFtFxzETLEeJGswT2mRIk0acT20sLkHTMhOC5VFyQ1My2eAfttCZo1li6KkSSKDjmmiA/E1x4CCFktjETFtFxzBbLEVJPswT2mWal02ntpQVIemaCwoeKC5KamR7vwCSQXn32YFuE1GaNpatCZLZZz2TFbHOHajadouTplHYQMhuYCYvZTmW2WI60m06cg80S2GealU6ntdemUBofGsfE5omOmDudyExR+FBxMUdoxkK+GRYKrRI4bALp1WcP4t5LTsv8enE0y9rDVSHSauuZmSJYZq3QybLfnTaGQ9tGsPrmh1Cu6PD5I6MlrL75IQCtVfJQ2USImTTC30xZzHYys8FypJ106hxslsDeiJVOOxQ8nWZVFKU4qoxVML6h9XMni/vS7HtrVfjcPo7xofGOURg2rLgQkccBvABgCsABpdQyETkEwHoARwF4HMB7lFJ7RUQAfAnA6QDGAXxQKfWgV8/5AC7zqr1KKfU1r/wkADcAKAK4E8AnlVJ+YiniQJqFfBbxDpIKVmkFjjQCXKdZGDQrdoSrQqSV1jOdJlhGzZ8sFTpZ9rsZY9ioImTNhh1VpYVPuaKwZsMOrFo60DJFS9yzHW7H8uMWYPOjz1k/+8/Kmg07MFrSv+r9PQVcfsbxTZuvnaaUmglwLRJNWuEvajEbdW4n7pBnQVS/Zmuf200zXDKyuFf5Y/KobA0JyRkI7GmtdIzP+FC80NnoWJjamz8mj4nNExgfGocUBQoKKKElz4VNoVSlAoxvGo9sQ5bPchaKt1Yo76xjppp3zTRkZXGxXCn128DnSwDcpZRaKyKXeJ//CsA7ABzr/TsZwJcBnOwtLi4HsAx6iLaKyAal1F7vmA8DuB96sfB2AN/LqN1zgqRCehbxDtIIVmmUCWkFuE6MzxE1li5CTNRxcee3Mr5Hu5RGpvEBEDl/slToZNnvZliCNKoI8YV6U/mSK75f830zlVWm++WXm/r5jfuerDkm/Hn1zQ9hSikEdTJ7x8tYfUtzrEk6TbE3w+BaxIJVARGzgI9azNoWsWkX2Z0u+Ef1C0BHWgU0Sifck6xdMrISJMsP1//mFU4oZDI+aax0jM+4h62PWQnEwfaG61Sl6R/PZj0XwXkqRQFyAKKmR2iZED5fTarq+Y22OQvFWysCoMYqfJpwzTQ0y1XkLABv9v7+GoB7oBcLZwH4urdLcZ+I9InIYd6xP1BK7QEAEfkBgLeLyD0AXqqUus8r/zqAVZhBi4VGyWLnLamQnoVQZKvjopvsi/00yoS0bbUJpL3FAk5de3fkeLdyN9RViIk7Lq59rcwW0gqlkWlX/datI3Xj0zUvFzl/slDo+G2xCdRp+p31GDZbmWRSasQpT9POxbwIpgwb4XkRYz/jCFuRVMunVFOUbZ1mDTbDmTVrkUYFSOuCtKTrttYlqO641WFZxKZZZHeqOwBQO/Z1eP3y/7Z9127hPw0dc09sc1DSVdc0QRLA1K5kvy9ZkkboTGtRFUWUAsXWjkaIUpRkdn4ZKG0qpXqOs1C8tSIAqtHlp8nXTEMWigsF4PsiogD8s1LqKwAOVUo9433/awCHen8PANgdOPcpryyq/ClDeQ0i8hEAHwGARYsWNdofJ1ohvGa185Z01zgLoch27JRS1j64tjM49rbXU1xbTQJpISd4cf+BqpBlGu+s04vGsWbDDichJgthxzVbSKP9ilIaZYHpHn3zvifr5kqpPGUVYv3506hCJ9wWE2msN7K0BBnaNpKJUuWg+Xm8uD/Zos1Uf9wzFjX/hraNGJUWgH73ZG1R1QwLrU60BpshtH0tAjRnPZKFABm1mxYpRMTIAKY6oxbZ++7ch4NPP9jYhk70rw6PvYlYn/pOEP4jsCnFOsZFwzYHUzpqtVuQbJYVi8uOefj7NBZVQUx9cRkD/5gsxiJWUWJAitNaL9fzVUlVlRpRFiylTaVp5UdRX8ukDEkSC6UVAVDDLj82hWG7g8Rmobj4faXUiIi8AsAPROTR4JdKKeUtJJqGt0D5CgAsW7as6T6nrTLlzWrnbfWKxTVB8wAtpNt2jXuLBeMOaRLB0iZYAfY+LD9uQY2ZdrDcx0UQ9K8fhUkgHd9/AHvHa/sdbmsz0ovaGNo2YjW/DwsxNqFmZLSEU9fe3VDskXCbGo2Xsvy4BVj/wO66newX9x/A0LaRunFMGiflopseqhNek74UgvOnkfSvcTv8/nOYtJ9Zufb499NGcBziFAalhEqLcP0+tmdszYYdAOyuPQCqwUBNDHjXsr2X0tDXE/9OTHpvZ3q2pjbS9rWId53M1yNZCJDdy7sxPjRu/C5K0HARhvZ+fm+N/3rUOeWtZezDPhQWFmoElqz9q7MSDl2EGn8hb+yDoOkm3jZcxiBKKdYUF407xnUUGv9adzjc0yLqTPur5SmImm9j1445zZWoOqIsmLK2YknqIhEWOiOfvYh5WiegB/syH8D+6HbnenPW+VDeXcbUrinnZzfNfFQlVb3XqS0IQuMT7g8AoAQd3yOP2vKEsVC6l3froKLBpubsdaR9/0W5/KRpdzNoWHGhlBrx/n9WRL4D4PUAfiMihymlnvHML5/1Dh8BsDBw+hFe2QimzTn98nu88iMMx7eVLBQKLovZTHfewiZ1ESZ2YvnOVH7Z0DBuvH83ppRCXgTnnbwQV60atCohfEx92PjwM4YjdflVqwatQmmYtLEZwkoLU1tbmV503aad1u/CAlNfT8Ha/rBw14hCJUqoNM1nk6Lj1q0jqBjuYdj0PqmS5LKhYaNlRRT9PQVMlCuZxfYIP9exQrIAW57YY3RjAez3xKR4W37cAqzbtBMXrt9ufKeY3jlRihXBtNLQdC8uXL8dF6zfjoG+Iva8OBnpTmrjxcl6ZZXtGRstlXHFHXYLpBcnD1jdOoKKWhfFZ/hcW71xoRnTKPpaGW9mNjGb1yJJBEjbgrVrsKtO0PAJCjPh8/PH5FF5uBItvJem2zO+cRyFEwqR55S3lnV8gIDw5kRZ7wKP3z6uFRoCFE4s1FlwpA1SaMKlbflj8igsLBgX+VExB5qJq4AcpRSz7RRLUVIJRqVNpVrhDQCmdHnUuQIvuGOYCWDvlXsT39Mok3hXRUKUIjBKKRUVaya80x3XL6OLQx52RY9B6IxzD7C9Y6znuFg+eO2wzYfy1ulKXO6Hi3LVdEy17ojnNI5gnRObJ+r74zMfyM3PNaZIdZTjsoxbAnSem1tDigsROQhATin1gvf32wB8FsAGAOcDWOv9f7t3ygYAHxeRb0MHxBrzFhSbAPwvEen3jnsbgEuVUntE5HkROQU6INYHAPzvRtqcBY0qFFwXs1ntvK3btBPlqVC0/wj/7FGLABwuv2xouEY5MaVU9fPmR5+LbJOpDzbBe+94uTpmcUqLvAjOOSl+h9x0D2xulMG2tjK9aNSx4WGIE6B84c7/2/Sdi+IiSqg0udjYFB0u9dvOvWD9dqzZsAMiek4e3lfEUS8r4t5f7olse/j+Fgt5XH7G8dVrNer2lWRO+ZSnVFXxF+5n3D0JWoK4uFeEv//UTdthkccBr93fuO9JfPehZyBSf9/8UxuxYBgtlevambPEqADs74i4NhyoKFywfjsAoKeQQ39PoTp3gllE+noKmCxPYbysFyN9xQLWnHl89dwwYxaLKJ8oBab/fXjetTLezGxhtq9FXM2EbQtWfwfT6LsdEGZM51cerqBwQgHlB8tupmtlT/AoItbPPRXB89S0BUdQeZE0SGGUEO4iFE3tmsLBpx+M8u7y9DiJDtTo7xyHaba5tauVTqRSzLLUVAdUKsHIFnsgLiaB9fuU1jhdg1219yqMg0VM12BXpAXT2LVjyB+Tr7MciIo1UylVEvXLeI+nAHghV1D0lD4lZRU6/c9VZWAI4zvGcqwTAvSs7Ikcvzpi7kdsbIYokSnte8gjOD6R74kS0Htxr1OdpveRUSkyZY5FksRCL04B2YmpnBu1uDgUwHd0ZjHMA/AtpdS/ichPAdwkIh8C8ASA93jH3wmdfmwXdAqyPwMAb1FwJYCfesd91g+OBeAvMZ2C7HvogMCcjSoUXHfjs9p5SypEu/bvxvt31x3jl5t21H2CO7muuAbVm1IKt24dwbIjD4lc6Jvq89YadcJtcLxbmV40asc+LDDFCVDAtCBtwlWh4mRFgOn5nNQ6KGhJEnVuOENFXJuKhTzOOWmgLs2lP0ei4pP0Fgs1SpKgNUlQuHxx8oDTnApjE9LD/bdlRbEF/vSVPOs27cT4/vq2RSktgtjclbLCD9rrW57EKSfTEKxxvFzBeLmC95+yCFetGqyWTyt3phcfkwf03wMpn+coF664YLpUVCRiVq9FjAtzw+6pbcEa3MGswXNjCAaQNJ7/YBm5I3OoPJ7ASqCFIVnKD5aB02OCaNacMB07IyqDAACo/fHvo8pYZTrLhH+4AsoPl83WJy0wt3a10olSikW5EJjKmub+EvcjmvD6dffKgH9Po4S6qDGqjFVqUqVW55XNGsJGRL/i3KtQAlRBoWdVT6wSBkD9Oyan5//eK/e63QMXVDqXmKhnuqqIsr3ngkqhLCloa6uxa8ciY0L4uLghTQ5P1riEVMYq9S4iQQyxSFyf/bgsSdV3qYMCrJU0pLhQSv0KwOsM5b8D8EeGcgXgY5a6rgdwvaF8C4DXNtLOrGlUoRCVri9IVjtvSYVoY+DKvODFyQM4+pKN1XZEBcGzLfQB/VyblAt9ltgafcVCol1dl91qm0ChoIUU23jHmej39RSglBb24pQgcaxesRgXrt9ufA8qoCZ2hYtCIS+ClxbnGXetXXz1/TaF46XYcHaXCLBvYtp1wBZrJQ3nnDRQI6QCWlANZpDxd97D7TWl8TS5d9jw55TtGFsWDP/5HNo2gjUbdtS1Y/UtD+nFccy9yDKmQ7OYUiqxm0+jfPO+J2veQVEK5bTvfNv8z4swc0iGzPa1iKvJbmL3g/DOru11q5BMaRGHgw98IpRbEM3wOYA9g8D4pnHgAJzrM+5Cl7U1Rs/KnpabW7ta6UQpxZyUQAFij41wYfCFv/D4TA5POgvMrm11CsY435DeNuRu5JqFoUoZkHkCVVCJdvpt/coyfWVdYEbPfaL6fGT14xzcPUugxImzUGpZNpeAG0/+mHyNy5tLIOM4y6DxTQYlRdy0Dt1j12c/MqNMsC9+nA7HPjSbZqVDndU0qlCIStdnulajC9mki+5w//p6Ctg3UZ9tIyfmXdu8iPGaQUyL9DVnHm8Uip+fSC68xu3024TivmIB915yWuS5USb6QaVAcLd9IIXSadXSAWx5Yo9VoAvu0saNN6CFQ5sbUKJNbscUZP5zkSSmQLky7cJki7WShrDrksl1IiomS5BSecro3mFDAGt8Bd8SJKgE8cv9oJ228Qu7f810Wt0bBeCimx7Cheu3RyrJnh4tpYopAtjfvXHZbAgJ42Sy28iuaLnB8x3JHZVD9xJ7fIBUSLrMApEkfRQt41YZq7TM3LrG4qQIp4CAcUoxk1JD5qXLktCzose8e1yZFs7DglE11awDru43TgqOCMWar8RAMdodyIQqaQuI4Hir/SrSXcbWr6zTV/rzdHJ4MtvnM4ianqdJnrH8MfnI7zOPGWNSrham3VwArWxL/M6JUyRFjUlE4NVg/10t9GItdmw007rKASouUtKIQiHKUqEZpFG0BPt36tq7jdk2ioVcjVm1z3knL6y5pmuqRf+c8O6yq0l7kCgT7qFtI1ZlSFJhOc6FxVdaxClDbFy1ahDLjjwk0h1g3aad1fqjxttvjwkXVxO/fleB2RfWuwu56hj1FQs4/vCXRMaj8OeFLZ5BGkZGSzVBIF1dj2wkeVaVd73gPQo/h/49DpefuvbuhtqZJX3FAg7qmtfxFhwi04o4VzedKMse/12SJKaIj+3da3tOmTmENESjSwiFhgLVObHXiw+waTwzd5LCiQW7mXgTcNrpDhzbCuosTkoActOpGKMsPWyKFZtSAzArNOLcX0z1GYX2gGDkLJAmcL9Jcv8iKWl3oKBFjcu1w+MdaS0UkTmiWekrkyiLElMwzB0Hyg+XMfa7MVSeqEzvCs4DUPb6l6XSNQ9tbRUiN5DDxOaJqtVN2mxMvhtSUsFfuswKQ/96Pq4Weo08B80OLhwFFRdtwGY2PmBYtDaSujJIEkWLyTTdxITnJ27KKhK85qlr73ZepK9aOoB1m3Y25CIQZU0ytG0Eq29+yKoMsVkk2HDZIW10F9Ufx6Mv2Wh8L/v1+8e5powN4iowufYln5M6dwpAxwx497JFOHrBwVYLB78tNsuktAQFy0bvSdLfyPA9CmMrb8cOfE8hVw1O6VMs5LHmzOOrbVxyxfebEvui0bVHsZDH1WcP1igYXF2bbPWZ3iWNZg1i5hCSFJcsDo0KZH69DQXfi8FvX8+KnlQCTJjcUTkcfPrBGNs15tZ3l5dMjFVB7yd6td9/HC1MHWi0OKkAMl/Qd3FfTXGNZUZMBosoa5FG0y0CsI6jfy9dM0ZklVWkiuuPkedWJI6mqKb54LfbmPVHgPLusnWsY9NXYjpYqOsYNVUoPQD7uPpjbhr7cshdTSF5ViIThVqrmVxvDpX9FaNSNXj9uGtW67IcZ3O3iMrkE2WVY7KkirvXiV2dArRKIWu8dtuuPIdZvWIxioVasyfTotUXQEdGS1CY3tUb2ta8LGz+Qt9FKDm8r4irVg3il1efjsfXrsQvrz69Lo4A4N5fn6TCWiEv6CsWINDKn6DgEmbNhh2RQkzSHU+X47PaRbXVEy5ftXQAV589aFSEmUgiMLn2Zaqis2XYhLurVg3ii+cuiZwXWVsgBbM5NHpPeubn69oehWsMkTBZzZ1CTlDIuy2sxssVHDQ/H/lMuVrohMmLXt719xRQyNW2p1jI409OWWR0mXOhv6dQ185VSwew7t2vQ7GQ7qeu23Kea8Bj2zscQPUZdXlvkbmNL5CEzeknhydrjute3q0tJmLIHZWrP84TsrsGu9BzVo9TPeHzCycVYhe0/vddg13oWdkzfXy6VyTgyb2ufTf2zU8h6bWvZ2UPiiuK1jHyjzMitfW0ypw6aUC+ankozkl4TtnoGuxC7yd60f+ZfvR+ojd1P23j6JdHKX6kKKmuXzf3whS0FY8zpfjMKACAoj0uQNdgF2S+4bfPSw8a9+z7ddj6FXXe5PAkxq4dw94r92r3B9dlR5rlSdQw+RZfLfIb9Z/Rg08/uGYuZ2EJVrVOsk2jstmypbiiqN9HQfK6XIqWtVEhXbyJ2OfARgsVsiZocRFBVtYOYVxdNxrd1Qvi2pd1m3Y67U4mEXaTuqokCejopyt0HY8ohUyaHc+oAJqAXsOMjJZqAmnaiLtHSXZp46xd8iKoKJV4XieJWRGXLSNuXkQFtEyLf+24+xbH+P4pXHPukmrbo1J4AgljiARIGiMkSPgeA9Nj3Vss4MX9B6xuPy/un0KxAFxz7hLj3EgadNWnohQeW7sSgH2+f9Mx1gign69wppegNUh/TwGXn3E8fn7lOzC0bQQX3fRQIoXY3vGy0QXENeBx1Dv83ktOo6KCOOGa3s5kIhxMyehHh688XtE7ePMUUKrfsa4zQY/Dy04ytWtq2pXAYrUR9FWv2y1OYenht8+pzeJuRu1jO87mR95KZUUQ6+6uoMYsPTIWSBt811398U2oBiTc8Nwz3ee9j+zNLjtOQVsZRV3P2XIg4j75/apmuog5z5RZAnlY4ynUuAvdHhEHw2axEpsj3uGYBvGtpqK+b9SKoyZOTETa3DBR76fxTZbxbkCSDz4HUVZkLi5nrYKKCwuuPsxpcXHdSJrG1EaSvrjUnTbQpMvxQ9tGML7f4Fxm4aAuPYWD2SHSKpjS7HiuWjqAC9Zvt37vv3tHRktYffND1XPCuNyjOEHfJAjalB1pd3dNbRjff8AYjyIuW4Zfn60daYX2YiGP7kLO2KacSDUzzhtfdQh+/Ms9qX4fD+8rRsY8CJPWQiFpjAQf2z0Ofh7aNhI5d8NK0uD86vMsJpK6YPQWp7cfbPc+iVIkrLQIu4XsHS/r7Cseaax4GklVnfYd3iylOZmZuO6mA3YTYV9AUWX9DKiS0sKUJVVisB6jEBQknJ0kUBam/HAZkwvr/bsnNk+kElbCvt1dg132BbiqPS6OqONsSqKgD3wrF/hWs29Va5buYuLeSuIUSZHxFjJSKtjuc6PuTL4AHOyTNd0lkgnM/nFhJUiNojLiPB+jImtKC6oyX+rSYQLadSUunWzhxEJtxg2g6pZRVx4mbaydoMKjCBReY26DSSkWHEerZYMB/96GU4eOD41jYvMEupd3O2f58LG+d2zzPaPnIKqdUYqeVkPFhYUsrR3SkjSNqY0kfUm7k5oFNuEvSvnqC/iuCiaT/36juFoGlCsKazbssFq6uNwjm7BnU3xcffYgrj570EkIchWWwm0w3be4bBkuJFWShK0LTHPJF1xHRkvY8+J+/Mkpi7D50eeqwvhEecoYcDaIqQ9+W207+o24fNjuebh/cRlsTPc3bu76ArYpe47vojVWKsdanPg8P1GuCZJqIknK3eDzbrMWK08pXHHHDkw08NzbAgnHPS+2bCVBBU6YZivNycwj6cLXhDX13aZxN19o1ywDccKGZbc4rcBsyjaQxXi5EBVfoNVpA6u7u5a0rP6YuwQV7CQi54XoXeJmKYliLZgiFqc2Yc+W7nJ803giRUmuN2ecc5Wt8fFAai5tGV9VUui7uK9O4elyDSkKDj79YEwuNFuWBMvNFdTHnUC/Q0rm4L3YD5QfKddYcNiUi0BtwFCj24/pXuemLSuqSqnQWI1vHEfhhAIqD1dSWRXVXK7J77VGrJ9aCRUXFuJ2ylqxI5ZVALcku36rVyzGp9Zvj0wbnHQhncRNxbRjnRNBdyGHF/fXfyeCRAqmrkLeqrhIKxwksQyISrmYpDxMlOLDZb4kEZYuGxquC8hqU47YsmWEA8D6Jv0mCwEXJYlvXRC2Cuial7MK1n5a04pS1ZS/YcG3v6eAlSccVlVuxCl0AHPK06yDLiZ1vwpbI/gWQOe+fmGdcimIr3Axza/ylMJBXfOw/fK34ehLNjq1u6LcnrMklhH+PI96VhrNUHN4X9H4HovLFmQL1yFify92gtKcdBZZLCitQkIJsRHuuwa7zIEDU+JH1Q8KNSgi1c7h1K76d1c7FuCu7jxNJyItKxAfkK+yP13Gg7TEKXwiFS0GS58s2x0XEDfKtD5/TB57Pz/taiJF0fELInbN41wLqnhzOXEKYMMzECcMp7lGcUUxcux8QX/086Pmd4pCNUtQ8Nx9d+5D+cFyXVYRo1JhCtNjHZgnQaVLdd749URhc3sJYHsHHHjkQE3mmbSKtiTvNZdgzmG6Bru0NU1gjMOZVNrtJgJQcWElytrBJgQA2e6IrVo6gC1P7KkREs85KXka1iSWG6uWDuCKO3bELvRdF9JJBGLbzu+UUkalBWCPHWATYqKyhqQVDkxCZFKrlUata2zXGxkt1cRysI2/q7B02dBwTTaQKaWqn01CnMlaIM6kP2r8bQI7ACz97Pdr5u3e8TKKhTyuOXcJLrS4RPgCsm2+98yfZww4m6R9y49bgHWbduLC9dszj5XjWo8pKG25oqyZXQD9m7z8uAUA4hVrNssCE3HP2bpNOxOnQPbjdjQj00mxkMfy4xaksoKwvW/82Bmm+rJyESSzB9OCsnBCIdECMkoAdBGu571mnnvK0Tgf9SLMfvUpCPapJlvG/Nr2JB2vIC5CQBJ3nma0oaoAsBAMigpEpNAsoeq60AoBJU7h42ztk7GSyMmCZj6A/ZbmhJ4VVVIYvyO6H1WXrBhLjmrMA1crqNB5QeKE4UTzV3SMF6D++TYpllwUocFzDz79YOD0+mOcMvzYKCN9ZqOp2jkXZb0CwNndwvasVxVbgVTSMq9+dySt9dfk8GStC5Cqz6TSSisyG1RcWIiydrAJATY3gLQMbRvBrVtHqsLVlFK4desIlh15SKLrJLXccE0JOjJairSmsAXDswkuOUFigcWGTeDv6ylEKmXSCgdhITIsRPv0W7JLRN0jF4uVqNSh4VLT+LsKSzfev9t43I3373YW8KNM+k2KElu6XX9M1mzYYQ00WSpP4aKbHoq97zbSzIeo2BftMvtPI9ArAN+470l896FnrOPnP2f7DySLQzIyWqrGGgnP5zRj7rsRJaW/p4B9k/YgpX7w3zUbdqSygrApJPMi1vqychEkswfTgtIWK8J2vtpv/3E1LbhrlABFABGhBmrw/di3l/WuZ5i85y9fDrUnefxhANMC+eTwpBYM/XqCAqUCytvdxyuIUQgYGq/bgWymGbeLIBK5Mx7ala0JyBewCqhSmXYhSrNzm4Q4hU8SAT3L+Bw2hUppU6k6LjalhZUpRColwpleajAEfnWOiSF2oTkuxkiiQJUqwlqkjJq4Dy5uS8Fzo5RSDQfTbIDgdRtVDgOIjIFSPT+w1FEl5fYusIyhKTVyJO2wIgtBxYWFKFNsW0C7JMKBizCalclwUssNV4sBEViFMkB/F5dZIkhWSosopUycBbqLcOBy7y4/43isvuWhGoGokBdcfsbxxjqjLAlcBN+kQQfD4+8qLNmuM6WUNUBqeLxcYioAduuOx57bhwefHKuOSdxzN6UU9o6XUynGGhUWXZ/hrF3PwvU1wmipXE2nGpzPwecsTdyYcHpQ39XHNV5GuB02qxobhbxAKa0ws/1eTx6oYMsTexK7ePnYFJI215ynR0u45twlLXE3IjOHtAtR36c7LhheWLgOC8pJXDgKJxSq/u1G9xLlmDrS6WLTAnlpUyla+TE1LXS6EpfpJKhAaKZ7isv9jxTcytNBLuv6H+G60JK4HVHZJ+KOCZFlfI6o3XP/GUuFgrYuclHUBWIzOFtL2K4ZQTBGg+8W4CsYbPM6GIMiCbHPTMR54QCaCjorUpJgmiakKFAHVCrLi+Cci7IOch2nqBgoXYNdDb0LbKmRq/U5vpbbpSTyoeIigiSm2Elw3YXNMqtIEssN15gNStnjS/h/2+izWB40Qjg1oomo7A4uwoHrvUsag8A/J/z9kiu+7yT4Jk0dGhZmXa1yoiw7/OubFFjB8YpagwTbZbPuuPeXeyxnR1NRSBxMcmS0hP/2me+hu5DH6Hg5Nripi5uVX6+fIhdwU07FWTcFY4aEr9Uo5YpCX7GAg7rmJVauxK05g++MKGWnrc6J8hQuWL89cm4aUdNKL9tZfhwUG3FKoaRZYfxsNaZzGN9i7pJ2IeoSSC8sXKdNS+pTfrCMvVt1wERjusoKMkl3GBbmXJQhtmNMVgWAZ+7uuAPp72g3wzrB5f7H7TqnUTq0JG6HbXwD5YUTC/FuShnHMIkaz0aej3AWirgYHv2f6bfWlThtcQRGJdWGcUiX1MSR8BUG5a1l5Hpz1TSZiSgHxtBVFCiixqIqeM1GFaFyqAC/wbQVmGtGk0J9LBMbzkq1GEViI++CcBsSxy+x1NNqqLiIoFkBOF13YduRVQSYXmy7CmFhXBQr+yYO1GUX6GvQR/2xtStjj4ky3XZJEWoby4tueggXrt+Ovp4ClNIKkkbnzNC2Eeed3tUrFtdZeEThxy7wcRWWzjt5YWRcBB9/fr04eaBuvKJaGGxXmtSVcfjBJMPWHFGUypVqppEopUKS8Q/W1V3IxT6fUQozAM5ZOBphrFTG9svfVv08tG2kamUTRTBzi62FI6MlXHFHvTuGDWX4O+l8cR2vqHpfnDxgdXnxcc0KE1QUNktpTmYmTVuICmp24wFHYT2KQCC8uGMaobI/vaBWt3M7qWpNszeOa99xx7EMujU0xYTawSrBafc6pHSYHJ6MvGyz43YAsAdlDSxzDz79YOxDbWDG3JE5YC+a5sISGVsj7fzNoy5eARCRblim71FcoEugsVgPxndHJaAU8CxFws9KavwxdH1f7Udqd7I46rKVRLUplKGkvK1cbyERJiOlmu8yYqLO8sPB+ivLTE6thIoLC1GCQr/F39sWvyCMqyVFO7KK+Gx5Yk9srAub6b2vWIna6S1X6uMZrDnz+NQCmOvYLz9ugVFgPe/khU6Cgm3MTEEeG41n4O9CmzAqrxIM2+ZHn6srcxGW/PgSvttRFHE7/abUtEFLoMQ76A7498/Uf1eCFgK+oiepe0Owrii3ASA6VswVd+zA86UDztce6Cvi6dESipa0wFHuNME5Z0tdbCIY++TUtXdb50WjmT+aRdQ89BWLSZ91WlWQJDRtIRpQMiQV1hsh1S5tmBJqLQgcs5KMfn60RvgytqOM+hgcMYxdO9a8iPsOVgmmwH0m/DkSF8xTigKZL1aFWVaxLwRitMyRUMqGwsJAesyX5pB/WR5Te5skycKLrREzlknws4qYxsiqdFKesCqoCu3NCpDo9O5o3nDXYrJ4aNW14whYwYxdO2ZXWoQsVMLxPWxY342CSAVJOIYNEG/9lTY2SJL4Ss2gsxI2dxBRVgqXn3E8CvnQSzUifkEYm8VEuHzV0gFcffYgBvqKEGihw8UqIO31fPzd6Lif7YrSipQgvmJl9YrFdd+FCSsBVi0dwLp3vw4DCS1Kkoy9TWB1FWSTWrsEhdykRCmWfFeDoW0jAOwBL9PUHcdVqwbxy6tPx+NrV4azQdWQi/hyoK+I/oPqX3rB8Trv5IWp22jDv3+NZmjwBdURz4qgGdYhfgajKPeJvePlREqLey85DY+tXYlHrnwH3n/KIuS9fJ15Ebz/lEX4h/csMSoBwwpTU7BKEwfNz+PoSzZW56rLeyELsrpGsZDHeScvrKvPNLWTPuurlg5U78e9l5xGpQWx0jXYhZ6VPdVdtVxvri5Qn1+emnKGsSeiKMDsQpKGgLVIz4oepxWtKqn4HdIU+AJlnBVDGmz3NVzeNdiF3PzoQfCVDuO3R1hn5HVKy+7l3fWm/J55/PjG8arQ00jfbXMuWO4rWYLXK28t117/juzHvmdFj7srQ5gi0LOqB/2f6Uf/Z/rRd3GfVdDzn2/jD0sF9UJ7yErKx3WepD2mZaRVns6PP6RRguMUZ1XWs6pHx84oTR8f95wUVxTrMyzl4RSnJPy59xO96P9MP3o/0WtVmKWa35b51yo6aKZ2FlFWCquWDmDdu15Xo1BY967XOS88TYt3myVFFovbsFtAVPnQthF809GE3lekmBQrq5YO4JyTBqqCkQlbOtZ7LzkN7z9lkVMbRJBo7BuNG5JG8AorGVyJU5L4wvPQtpHEgnhWGQqi6onSo6xesTj2Xly1arBGuG6U4DPWaP9NWSGiGOgrWhVyfcWC9X1gUqCmwfR+8RVQXzx3CX6vtxvfvO/JqmL2i+cusSpMo1yYfARAPid4cf9UXRDOq892Ty+bBv/e+PPGNn3iZlVfsYCrzx7EVasG695ztqmd5Dn0XW2Cih1CbDR1IdpCCicUInexkwpQQTeNnjOnlTtSlBp3g8QUYRTac0fl7C+PJi3obabZpvJIYSqgdIgShHrO6Km6IJgUZlO7pqyxL5LiImw7uUB5wVezpKpQSEFufs6qqJgcnsTYtWPYe+VejF07hslhb/c6gT7PdJ9tiiYXN4WG3h3h56EdCbAKQM/pPehZZVEAZUG+diyj3lW53lxkjBgbXYNd6Dkj9MwFPtuulYbw851k3NoZoJOuIhbi4ks04oPcajPhJFYG6zbtdHp3+oKQbRzCAUFt5ydtcxilkrlhNBo3JHzvkgR5TOo2snrF4ljXmbgUiiayzFCwesVia5YdGznxrGsiAhT6XLVKC45JXBNMhGOYmNywCjlxslqJygphopAXYxBOv641Z2prIdP7IGmmDBMDMQFFTS5xV589iHsvOc1YX5RVgW/VYXIJ8efqvZecZr33wQCgPfPzGPcUH0kIBiEuFvI456QB3Lp1pG7cT1zUi/t+tRdTSkEEKM7LoVSuGN/H4feczeXF9T0SF+S3WfGVyOymLlhfEcl8w4vQqfZCLimYh3iT+RxqTNptTO2aiozZ4Qe53Lt2r9POa3DRbooxkcrvv+DttqPW3LqaoSXipdSMBf3ULvOgmsqjzL/9TBBxGWbiTMCzjH3h4gblWm8zLIb8TA5psmdUFRIBojK1JMGUScPVRcCEc6DPHOotloLD7j07xoxCgLaKULDPwRSBe039dM1WAoHuU/BRKgC5gVxt7Iv5WjESvEb38u6a1KVV8o1lGLHFyom6VlqC16rLMhJBOy10qLiwkFV8CRutDL5mE2hN5S47hlGCkE/UTrHL+Y2a8tvI4r4G793QthFcuH6703s2TSpbl59KWwpFE3FCbFJhadXSAWs2Cxu+biDJvfDb4TrWQYqFfJ2LVVABNTJaQl7ilRbBrDU2wTscI6K/p4DLzzi+5tq2MTaNdVQw2Zd0z4sc9y+eu6ShYLO2NkU9m/69i7Omsd37NWce7zQ3lx+3AJsffa567/w0z6Y4IJsffQ5Xnz1YPb+vp4CJ8lRNdhqlAAWpBhK9cP12rNu00/oMNPoeiXJFBNyyzBBiIrzoDcYiiMQirEcGKfQIZuKIu1ZlrIKeVT3GBXLQgqBnZY95oR5qc9yi3cmPOw8tUJXqhaBwEMW4RX0zFvRJFAVRQTrj0uIaM8yYhGxLPJE0fXcRttP64meFdUwL0Io+y9LBFIsizS68CZu7VVgQ9dObRikxwvFKoug5s2f6GTcpGby+FFcUa7KAAADyWvgHIt4TEcuwwkmBOCcR/eka7EJ5dzk2E43pvVWjoIxplymuTDCWia2PjTwntmtlQfUacVlzMs7gkxQqLiw02yqilTtqtuByJhP8qJ3795+yqCbQXhQ2wUUA606uazuC9BWT2bZlfV9XLR3Alif24JsOMUGAZAqZdZt2YsrBAiCcQtE2bv5uuAnXNK/+scHxe+frDjPuaHcXcsaAi0GXiWBGjb5iwSq4+u2IskAwWUKYFAfB+oB6KwgTprEzCa5xMWiSKixtArLvbmFT5AwE5kQUUcFmbfff9mz29xSqx7pYrAHuz6HLuB19yUZjue/e51sy6PGsX0yUylM1z3HUM9DoeyRKsZM0CxQhQUxBE3s/0WvPXIBoYR2wCxlBCwkf/1zb9fwdfZNgEQz6Fit8CIxxPsIYhc4IRUUULsqfZizoXbPKADHCRxmRGUrC42kTsmWeQBVUbLBYV+KysThlTAGa5qJgUq64WN+YUsdGKqGSWBvELCWjLDvCis3wcTb8Zzcui0llrBKrkOoa7Ip8J5k4+PSDnY6bHJ6sVzwYCL67YhWUhnvpn2eyqrH2rYnPSRZU3x+W560ZGXySQsVFBM2yikgiJGaBzZXBVG4SlAQ6paGr0gJo3CXD1I4whZxUzeyTkPV9vWrVIJYdeUiNEDO+/4BRaE8SW8FFyWFKoXj0JRuNv31+rA2TgOUqLJnm7q1bR3DOSQPVlJe+EAfYUz6aXD8mD8T/gNnmlW9JEkzh21e0Ky2i+h3GtJPuK6z87Cp5EZxzUvbvizgB2aQ0KxbyWH7cgmqq0uD9CNcTpSC0Ccs2ZUowQK6LRUIWz2FQiWZz2wo+c3H3O3x2XNrotO2Pej82GoeHzF2ihBWbSX5q4d+wAA+nGa0zKw+cY3R/CAgHkcKHY7uBxszn63aiIzKXNHNB7zr+Pl2DXdGpPMNZGyzjaRMqVUmhZ1VPqjFNg9EFagK1L+zctMVQs9qQ1PoGqB/DKCVU/ph8rJVA8Pgooiw7YpVTJgzzLU6hFidoJ1FaJLFScOlTVH2NuEJFuluIdtdqhdDfSNafRt6ZrYCKizbQ6h21gQhhL0xWFgmNmlKb2uGbhzfTSiWtJUxYiDEJ5nH9D1+7z5J218fm9hEljNqUZK7Ckm3ubn70uciYCOHxPHXt3amegbh5NRHYSR8tlWMVglHCoO8asvy4BVi3aScuXL+9RgkQjOEypVRNKtcsiRKQTUqz5cctqLGAGRktYfXNDwEClKdUtezS24aN8R+CmMbH5R3Rijg+4WfMpLQQ1AYhTiP8N0NhEDWPXWK/EGIiSljxdxez8H83nRtesKuS0pYNnrAfPidOOLAKH46WFuH2J110G3ei8zAqY+La02jq0DSCRJRQ2b2826muqDpasfsbJMoFqh2ClavQHRaQo5RQXYNd2Id9KD8YY8nhsGvvKnzHWVhEPe+V/Y1ZFDi7ACW0UnCpM6q+JBZOYSKVJqo1qURdrW1s5wafq55Vyd61rYCKizbQ6h21pEqELHZCmyG4LDvykERWH0nJ0hImaf9N1y7kBPmc1LmLFHKCde+2Z1KJs1YxKQhcLWSSzl3bXEr7DESNaxpliE055LuGDG0bqQmQ6isBDuqa1zHm/KbAkeG2meJ3BOM/XHTTQ7HWClHXdDnGz6KR1fvAxVpGATUKpSilns1KtxkKg7j3QzPjK5HZS5yw0oiwGXeuccE+pbMr9F7cW3d8nHBgFT5U/OI7C2z9kaJA5ouzwNyIENEIcQKyy7WTWnq0kkYVJ40qPlyF7spYBWPXjtWNu+3aB59+MCYX2nftXdvqKny7BMoNE2lVkECqdHEBasa9KZwUbfXQyLyPnRMWl5MscbW2CTM5PFkTV6gyVtGf0Zp3ritUXLSBJG4UWcTCaMXup+26aa/RancaIHtLmCT9N127XFHoKxYgghr3h6g4EP51/TptQlpYQeCq3OotFowBIXsTxhppxJVoyxN78OuxCSgAvx6bwM1bnkzUV5+hbSPYN3GgrjyYBWTNhh11Qn+5oqxBMTvBnD9JG0ZGS7hw/Xb0Fgt4cf+BqkUGkFxYjnpXZf08D20bcc6iE3yGbUq9/p4CVp5QH6slbLGRJbb3Q7ve16SzcRG0GtkpTNoGFAGBQJVUpKDgC27hdscJB83uSxxRbhJ9F/c515NWiAiSRvmRhbl3p5uMpyULZZJL0FqfcP2plIB+Xc9XUN5dzsy9K42QHmlVUDIHJTVRjacQMY425UkUNoWIazDLRua9i0Ir7vtGlWppXV3GNxmCIVd0eSc981RctAFXITFrC4CZtPBtpjuNTcBqp2+57RpjpTIeW7sy8+uFFQSuwpIhnmtkuY20rkSXDQ3jG/c9Wf08pVRNdggTNmXIuk07zZlElMJFNz2UOM1r1LVaSZLUuIC2MhgtlVHICfp7ChgdLxvvfyOKiSyfZ/9aSfCfL5d5HowZErbYaBUz7X1NmouroNXMHfK6XdbSdGYD14W6qd22BXr+mDwqW+vrrYxVsPfKvU0XorNSnGSROjSt8iMLd45Wu4S0giyUSV2DXTUZHmJJUH/k3FBAeWsZ+7BPW2dYhFxX4TuNkJ6lVUHXYLbZN/w6gcaVdkkUi5GxfUJE9SsLpVrqd5dtLrd/P66G1IoLEVkI4OsADoVe331FKfUlEVkD4MMAnvMO/Wul1J3eOZcC+BB0gpxPKKU2eeVvB/AlaA/Cf1FKrfXKjwbwbQAvA7AVwJ8qpfanbXOn4CokZr3Yn0k7eDZBfmS0hKMv2Zi6D1ECVqMBRRshi2v793hktBQZnDoq5WjceI5aYm7Yym24PgPhefv0WLI3aLCv4bpswr0OkxEf2jucxaRTzPlNSqFCTmpiXJgoVxR65s/Dtr99W913jSomslQKRrmIuLh7RM3zzY8+lyhAJ+kMZvt6xFXQiluwN7KT5xzEL45Au6OEA2PwzgDNdrnISgmUhQIkC+XHbKORuZzVePasMKf1TXrdMC679uUHy3UuJUktO3ySKqeysCoIksWzZsum1Mj5rgF8o2L71JHGmiWhUq2TXbyyoBGLiwMALlJKPSgiLwGwVUR+4H13jVLq88GDReQ1AN4L4HgAhwP4dxF5tff1/wXwVgBPAfipiGxQSj0C4O+9ur4tIv8Evcj4cgNt7hhchMSsFvvtcLswtSGJ4iRKsFRI34coAavRgKJhkvQ56tou9YTvsU08tQX0dCWpgiWq7WHlxbpNO2vKTfM2Cb6bzYXrt2PNhh01rhBJ6wrjp1lNqgxshQLRphQKltnmx8hoCUd5aUVzArzvZJ1NqFHFRJZKwaj33xtfdQh+/Ms9dVlWXJ9hZvSYsczq9UgSQcsUxNCUmi+p4J9U6IpzH8nkehEL+n13BoIcClA4sVBNp+gipGTlJpGFENFOt5l2B8G0tamRXemsxrNr0EvZGxdMM1S/aUyT1AMAUNkIubb2JI4BESaBFa7rs2ZrZ6PzoZHz42L7JB3bqHema11p311S1K5/pvJOIrXiQin1DIBnvL9fEJGfA4hagZ8F4NtKqUkAj4nILgCv977bpZT6FQCIyLcBnOXVdxqA93nHfA3AGswSxYULWS32s7DcaETgSqM4cUmHmmYnNCrbRlorABdFQlyfbek1ATjV4xKoMAtsCpajXlbEqy69s9r2805eiGVHHoLVtzxUoyy4YP12bHliD65aNZhqF9+VYiGHsVK5ugawxaRIQyEv1TSrSeZGKxWIcfETTl17d6zypqJQdctpVDHRqFLQJe1pX7GAB58cq1n3CYATF/XWZYWxjXc7ra5Iemb7eiStoBUZRA8wCjm2xbHLLms4oJ9JYeIfF7cITxL8MMy+O/fVppUMmNcXFhachZSsXC2AxhQg7dpBjRLoagTtkGIozXWSjE+jAntW41lN2euibPDqN47p7ePuCgsfycZyxNieoXGMbxpHzwpzRonwnDaiopWHpjrTBo60zYfx2xtQPjjOp8wDItvMRgWJlCtp3l3FFUWM3zGubRB98rq8k8gkxoWIHAVgKYD7AZwK4OMi8gEAW6B3QfZCLyLuC5z2FKYXFrtD5SdDm2OOKqUOGI4PX/8jAD4CAIsWLcqgR51BVhYAje4iNipwrdmwI5XipGteLlZwzXonNM4SJm4sLhsariofwkT1eWjbiDG95saHn3EaO1cLgkaFZZNy58DUVE2ciSml8I37nsTNW54yuiZ8474nqyk80+ziu1AqJzP5dMFPj+oLvmElRc/8HH7x7IvV4/3Al76iJqq/QPJgjOHrJ0kX7KIY9Lnx/t1Oiolg9hWfp8e0BcdAXxHnnDQQ275gn3oDgWmDv+WmZ6tYyEMEdf1RQI0FRtz8z9rqirSe2bgeSStoubh3BBfeUYKqLeZEELVfYXJ4OtVf9/LuGmEDAJDTdZmuU95dxtSuqWlfcQdMypvyg+ZOl7dadrVT7FInoVEFSKM70mmxCoThuRiKu5AEl93ucL8aFdgbUSbVCOOOBOsfu3asfkyTKi2glQD+s1KHwDkOjPUdUTIH2QwrI1CA+fwCrMrDNAoua+DIqACpyi1QaNLAwkHilMo1AY29hUzkfbHNBQXzs5hh4MyZEoy3YcWFiBwM4FYAFyilnheRLwO4EnqYrwTwBQD/o9HrRKGU+gqArwDAsmXLUrwCOpOsoss3at7/4uSB1BYbQ9tGEmdgCCsH4hjaNtIyl5co4XPLE3tqAkeasPXZVq9tDML15C270CYa9dkPZvWIcjuYPGBfRLhkAbHN255CDpMHVNW645RX9mPH0y+ksqoIK7dN6WcB4P2nLKpJxevqxqKggz0uO/KQyLgtSRWDpusH556fttVWR9jCJ4oppZwEetPd9qseGS3h1q0juPrsQec+Be+nqYV5EVSUqr4XL7QEU00Ss8Jm+cT4FjOD2boeSbugdBHkgoK/VVDdNA44RPNQJVUvKIRHQAHlR8rG6wQFHZPJch025U3UqZbvOj1ehNOOtOOOrKuCwzomlp/a8oNl4PT4vgSJ2+029ctGElePNMqkOkueFDQ8zwKWC1aLKjV9rTjBPbI9IYWeyZIJZdQvpArQznumKlPMEQDpA0TGKCUnhycjT48KLAxYlLMCVPbrIMI1ONwXV0uzKiXUKIt90ioxZ0Iw3oYUFyJSgF4kfFMpdRsAKKV+E/j+qwC+630cAbAwcPoRXhks5b8D0Cci87xdjuDxbadVwS6ziC6/esVifGr99vCmh3EXMUlcAZcd8Svu2GH9zpb+9aKbHnIWwhWQyILAJuDnHdNiRAmfcUoLwK4sSmpdoAC86tI7cd7JC3HVqkHn8Up7PZ9wVo+0q/KoAKL+GC0/boFxTM8+6YgaJQIALP3s91O1IyeAbxTSVyzgna87DDc+sLtGeZHPCZYdeUjNeUncWJR3vE0RkxdJrBh0uX65orBmww4nC58o8iKxAv0Vd+wwKnyy7lOQilI1GXeilGFhwvPfFtjWt3xqRlaROLeimRRMuROY7euRNAvK2EVwrlbwtx6b5OciICiM32EwgVcJ64ugZ6XZlD0yOrWFVqVZbRZR5vLjQ+NV4QUwmJxvGEdpU6ma2jaJe1ANKRYEcdYTzkFhW+A6Y7PkiSMoqCYe0xD9l/VX/3aKsREjuMe1J/hdVP+DsW0iU8W2YWs5ynJifJNbSlsA9rEMiw8u7zhLXVbLtvmwKo9N7n5pY3YkthBpA6nf1CIiAK4D8HOl1D8Eyg8LHPbHAH7m/b0BwHtFpMuLzn0sgAcA/BTAsSJytIjMhw6YtUEppQBsBvAu7/zzAdyetr1Z4gv3I95us79DOrStY/QqNWx5Yo/JwgpbnqhPI5lEeHDx+94bkW3Clv41qRAeNLeP47yTFyYqD9PXU3BuV5gok3PbWPYVCygW8sbvfJeMy4aG0Z+wXTkRHH3JRpy69u5E8/bG+3fHH+RAXsTmxlcdo82PPmc8N1w+tG0kcp5FEfRkGS2V8c37n6wTwKcqqk4Bl1TxMzJasgrVtvkedQ3X69usUJI8513zBJcNDRtdmfy54zr+T4+WMLRtBKeuvbtu/iUd0/CzuHrF4rpnxaaOzIlUrxt8nwNmC40r7thhbHNaon5DZtrvSycwl9cjUXQv79a7nzZCD0hWwntlrIJ9d+6r9ZXOmFxvzrqQLpyY8Hc6Ruj1A5zuvXIvxq4di92lbQdRsQb878c3agVFnSKgMm3h4h83OTxpnj8F2F+sKWL42eacX+5iYZHrzdmVWA44399GhG5PUDWOqeO4hcfKNcZG1BjGviOg3U72XrU30o2h9xO96P9MP3o/0avvQ0Sf2vH8hC0nqm1IqEQNj+XE5onU7znTfbFmU4q4x8Y2WayYovAVHtX6Qu+OTnnvNWJxcSqAPwUwLCLbvbK/BnCeiCyB7vLjAP4CAJRSO0TkJgCPQBsRfUwpNQUAIvJxAJugk8hcr5TypYS/AvBtEbkKwDbohUnbyTJNaRxZ7LzZhM0b799dt3PtKjxk4fftkv7VFdd2+/0N7hz7VgsuJNSpVInL5mEzxX/n6w7Ddx+qj3MR5Fv3P4mXdidbqPkCaNAtAYh3S0qiVMoB2mRO1Zfb6lGYnhdRgVR9fCEvK2zd2zternFJisp6kxSbFVBYmeUSoNKVJEqC8XIF37zvyUzShIoAFwRcOlzSEdsYHS/XpUYOW4Wc8sp+PPjkWN3zM6VU9bou75294+WqcmZktITVt9jdcFyIi3fSqt+XWcSsX4+kMf2t7sjazNunanfrupd31wdnAxJbMOR6c/G70zbfeEf8XVTTOBQWFhJleogay0YzFrQKp538MqDKDoPiCTl+oFVjBgzDnEqsMEJ8/JaoGAJJ0l2GqdlZDhB5f1NY8oTrtrl9xVpOGJRrztYoEUqEquVBXIDQqO8M9eeOzKHyuHk+jt8xPb5tyVrTQEybsPKoEesZk9IuqXtWkjbFtTVyPpXdg502m0ayivwI5sfhzohz/g7A3xnK7zSd50X2fn24vN20KmVeVlkIbAKOTVgyCQ/9PQX0zJ+XWIFSLOSMgRILBiV7I+OXJOr/siMPqQYJ/L3e7jo3gCjSxFEoFnK495LTIo8xxTNZftwC3Lp1JFaoqihgrIGsGaXyFNZs2IHJA5XYuZYklkZ3IYezTzqizt0j6uygy07UtZZc8f1q4MZWccH67dW0uTY3ljRMKYViIW+NHzG0bQRrNuyomXuu98BmiWN7zge85yj8ne1qI6MlHO2lT3XB5E1SKk/hopsewnknL3Sa7+E2+dlq/vq2h1GuqBqrkAefHMOJi3prgscGr+s/b0kpT2krnLSKhDS/IUzJame2r0caEZ4PPGJxNsd0Xb4CAID5YU8orMUu5otA4TXuyoWo65jGYWLzRHy9RaD/Ym12H0wZGxae4nYvWyV0xQl4TikqExCVFaFrsAtjvxurEUxzR+Wcgi6a+tGzssfat2ZkVEmSbcem4Gjk2rYxxenJTPWd2xTzLHQNdkUHuYzDIElWfhPRtqlpF6aac1qoFPTfe1EuGCaC864hC4S8eQ6ncSUK15MkC1Wi+a1QzeTSTuVFJllF5hpZpMxzsaTIyrIjSVyH1SsW16Sw9FEKqaw9ugt5o+KiXKkPqtnXU0gliCZNq9iIMiiJ4A5o64Krzz7B6dhwPJNT197tLMT1FgsNpfw0nWuaa6e8st8oBJoYL1eM7h5Roxcc26hxzjK9aRL83faD5mf36hzwlFSm+BFD20aM2TpcWXnCtKV8MOONiI7vEazWf45sQS5tZOGy6rueBDOPdFuUnjbGDceWylOR89V//6axntk7Xsapa++OVeaa3vVxvyFMyUqCJEnXF1yISlGcglz6AoPME3OU3YzJHZpDeXtjSosqhnFwWYQLBHuv3KvHaFLVplkMCE9Ru5e29IxZL+pdFFd1KSpt1gFFaEEtZmkR5TY0OTyJykjIUmGkYgwS6NKPnpU9VuuJZmQ6cM22k0UwTtO1Xduee2l0X12FXCcXsEasScqGAJFxP6kRMTnGb6/NMNSs+DNplFHBPiaKjxHG0n+bok7mWd7lBnW9LZtTWMERq8AzUdExctqpuJjZ0YiazGVDw3jVpXfiqEs24lWX3onLhrSAa/KlTiM8x/kwZ2XZkTiug+HZGC2VU/lZj0YoIsJxKVz1Af09BQz0FSHQQl9UpgLTNaNMtONIorQoFnL4h3OXZL4ra7qOY2zRhtvw+O+Szb2kc1WA6hxLGrcj6XXSUp5SmSlOioV81bLGFD9izYYdqZUWwHQ8ED+oqn8NpbTSoqeQqz5H55w0gHWbdrYjdhYA/RxufvQ53HvJabjm3CU40EC/XfHfv2mJe4fb3vXLj1tg/Q1ZvWIxCrnaGVrICVOyzmFcTX/DPspOmTl8ygmPb4DKE5VM41/UjU/UC74IID/dV1VS9cqaoD94VF2m9IyNCDMWUvmsm25lQVu6xL7kYywa0vrQpz2va7CrPoZCAzgJrOF0nhkRde3w8xsXW6B7ebd2aHO4ZlTsjsnhyYaViJnGQFB67IPj0CnU9LERI8iKed53DXahZ2VPXfyW4oqiORaJsox9+L1leI85uxqFKbcnTokPFRcWwgv9YCDEVUsHcPXZg00Xnm07bEl33q5aNYhTX1XrDnHqqw4xxnVYt2mnVVAytdEWaM+lrWGh1tXdYXS8jHsvOQ2PrV2Jey85LZFioFFl0ECCsT/koK6GfNJd7rNv0dGoy0TOsjgLtyGpIiLpXPUzcADp44nYKBby+OK5S/D42pUdsXvtvzc2P/qc9X3QqILEv1/fvN/s1lI6UME15y7B+P4D+MZ9T2YWtyMtI6MlnLr2blywfnud1VenY3o/2t71mx99Lvo3xGHRQeYOcQEMfVIvRFtN1o+2Kaq/hdz8nJPSJBygzpkmvEJdFFd1gfUMFE4o6OB/UXKgRGRrSdCeLM/LGik6vFCb9RxZlh6Tw5M6hkAWCipD9ypjFYzfXi/gVnfdG6UMjA+NVwOctgMpCnpW9TT1GuO3Z9dH27w3Keq6BrtQOMGymReaI8aAoVP186iR5y5O2dhMqLiwEBXQEtBm/c0Wnhu17PAZ2jaCB5+sfcgefHLMaD0RJ5iaAiNG7TpGtbW3WPsQugqTCkgd2b9RZZDpnthIKuSHlUDLj1tQt/OaE51pxBd2fIsO13SuNioKTru8SQT+vmLBuHschz9ujcTtMBEUDLOIFxCeB4W8ez/zItX3hksQ0rT4z4pNCaSUjt3RylghcbRbedII4XkV9a63/Yas27SzTmlTnlLOVmFk9mHL7hDeFW9YABS0ZlWYtSIugXLBeYykvbuKQVwUVy5Kq/LD5fj+q3hXF1dFWlbnZZ3VRbXNrlC7KIWpKg8szaqMVYx9ntg8YVZCRWT/CCspmqHsbKYiyjpX8sC818xrvkAdyLTRKDYFmm2+WzOOhNrjrCCcn7DBUXW1ECouLCQJaJkUV+G5UcsOnyTuEXGCaVBAdql31dIB9JgicQJ17g1JlAJpUwQuP25BovIw4XsSpS9IGvMkrARa/8Duut+kfE6w5szj64SdRudlX7HgtMtrukeFvNS9SApeO231RLbFcxHJ0ipioK9Y89xkUXf42Tz3v7ul1AVq75dN6ZQXsVrCJGEmKwI6CbH8HSQ8r9IoSlsV/JnMHGzmw2EBs2FfcIXWWPcInEzcXfH7ve/OfTptYxYYhDwnmjB+LoorJ0GijPj2ObTfVZGWxXlJ3SecyOpVmmIZYXLHclEemPqcSngMXaeT3DDiqBH0i9Ofc705FJYUUN7moJjrIEwKNN/ypma+e5YykX0LDI2zgjBBUNLYuloIFRcWooSJRkliSdGIZYdPkoVwnPIgKHC51msLsBeOf+ErBVxJEpvCxxQsMqrcRPCeXPOeJcaHqJBP5pNuUgKVKwpTFbed1zgXFn/W9hULdZYBxUIeInDa5TUp09a963X4h3OX1Ja9+3VYtXTAuHschz/FXJVJLhz1strxSaIkM9HfU6h7NpPMoeD9ilKStiDMA3FEWf4OEp6zq1csrnve/HeDzc2uzxLbxVZO5gYufv5GwTAJgkxjT1ipALmF2S0/u5d3TwdSzOqdKUi3E92Ed7aT4sp1aaoQPUcc2u+qSMvivLRxMaKIFbpcnqGcFy8kAwWcq9Ip3OcshMd2CqBJUSU1PVYlQB1Q6FmlA7uWHym3JLBwphhEKKPljadEjbxXgXPSKhYT0Z9dVUlhVhEL55280Jju0BrQMgGm1JdpMna4kiQLyqqlA9jyxB5rqsegwOVabxZZWGwk3YXMejfTv2fBdJX9PQVcfsbxmbgPuR67esXimmwpwHSQ6IHQ/DJlObBlkjBdK5z9JFjucn4cvotIEkVAHPf9qnYXLvwMJllrFvKCy884vq7c1bIhrKQcSJiatB3kc9qqppFAoXOB7z70TH3sIMMiZMsTe7D+gd3V8RwZLWH1zQ/pryPcegiJwjmzhI0WzrHKE9lJGV2DXTo+QFYUEK20iIjy3yxB0JRCswbHe5frzSF/TN4aeNK1/bHtyYhmxMWISh3rZy2JTQ9aQcPpfIPXdOlP+JhUKXBDCi5jHY1kGGklwYxCjS6T4p75RrCMp/FZi0jR6zQvkSATTwP3Ocv3d1KouLBw1apBPPbcvppUeraAlmmwCX/NYPlxC4yKCNOO9tC2Edy61ex+ERa4TMKyyXLE9TjfXSIJ4TgZcdiUKDmRuvSsrmRxL5OkZLQpnAA3ZZipves27WyKcilNqkn/mlmaxpusGoLjcOrau2PbKV7bTOM6tG3E+htw0Pw8+nrmW+9L3PMR/q7V+Io4wD5PiCYcTNUU7LhcUfjmfU/WzZVyRWHNhh3W2C5Zx3whs5OgQJkq3V0LcE3T6kJ18d9odd4LvCq43m6POdCzUgcANKUtzHRXM2sK0EqLhy0Tosntd0nrWkcRZqG0Af2Qi2BXVf5FETXnbAsCW/pKh+c0LOjWKSodKJxYu2Y2jYXar1qWYahRMnMNmYfmvCcLOihu+eFyw++KrsEu+zwp1h8bp1gsnFhInzmnjdODigsLUQEtW6VwyIok7hEmlwWfI/q7a/qeRFjumper1muzSIi6to2knjsmIRHQgq2vNGnH/V29YjFW3/JQjVtFTvROd7AsKjhrIwoUV+VSFvUW8qLTXRl274PXtCk9BvqKWH7cAtx4/27n2B5RLl5D20Ywvv9A5Pn9PQVs+9u3Wb+3pREVAH/3x9FxaVyeowssFjHNJGypA+i2Lv3s9zsqmGcnY1Py2GbtaKlstcDphEw4ZGaRWLApAjiA5io68kBxRdGuGBCg56wejG8Yjzf9Di7+owTFOKGkUJ9JI2pn0yTgWnc1W0ScMkiKguKKYmQ8hdxArqntj3L7sF1XIOZgmhUd0+Tg0w9O1ZY4wS5/TB6VremE4iirlrDiwG8LgEhlGfJmQTfYj71X7bWfL/rapvEKj8XeKzOKE9MCfGVOw8rQJuzHBN8Jkwsn3d4VMQqvnpWGd2MO6FmRPJvKwacfjH3YN2055M2RqV1T8b8Xbcx0RsWFhajAk6uWDhjN7Zsh8GZxnSTuEVG73L949kVcNjRcY3USJyz7VhTBsZywxLxIs5O7d7yMy4aGq0JsXgTnnbzQahnjt/Wimx6qE3pL5SlccceOxOOd2VwIvazyIjj3vy/ExoefqQqKXfPs2wyNtKNZ7ku2ev2ykdES8iKYUqpOULa5v4yMlrD50efwhfe8rvosXnHHjkhh+ryTFxrHB3CzaIjTj9ieGwU3RVjUc7Rq6UDLFBc9hRz+19knAND358L127Fu086a+xKOTdMO8jnBS7rmYbRUrs6fYiFnjafTCF3zcpg84FZvfygOhd+2JDRLiUhmNpPDjgvfEFWhKM7EuDC9+C1tKqUTAgRAN+xCQEBBUN5dtgp21TZvGrfXVdTt9Y+17R4WTiygsLBQM3b5Y/LVxbn/eWLzBMaHxqtjazPfD+56hwW+fXfumxY+A4Ji2nuXhOKKIsbvGLfGKJH5ondsI+ZB5fEK9q7dW6PEybLtadw+ouZh+cEycHqqpsQSlcEhkhyqY2QSCm2Klrh747TDHXFM/2XuQQmiXFf8OVDeXa5zlalaK0U9t1kSUFzOe8289NYDLoSE+jj3nlxvDr2f6K1+dnWtinqP+fUA2SlMDz794LpnyMVSz6SAaxVUXFiIEvbDwrif4QJw3613ETKzuA6QLMZEX08hUgC88f7dzu4yQ9tGIhUE4T6kWeQDqHGDmVKq+jlKeWGL6bB3vFztv228g/eut1jAi/sPVK0iRkZLuHD9dmx5Yk8ityKbSfnGh5+pUfSMlsrWNtnmil9/VgqJpAoSk1DuByIUAL/X222sI6j0GBkt1Siiw/cmeK5JkbXsyEOM49NdyDlZ+cSZ6UdZh2SBbRc+K2E9qPCLe++4uv8cND+Pv/tj/QwE58vy4xZg86PP1dSRF0F3IYcX98ffi6gYMpcNDVvj8wTPX3nCYbh160jkvQ/OnU/dtN0pUOrKEw6r+Zz0feYHfQVaFwOJdD5JTOzDgib6tUAaiWhzZr+ursGumnrizg26WPh17LszWmgz7fbljsxhatcU9l65V2cKeE1g98+7jhS9HfjSdLDCrsEu6+6hf03bwt42toUTCqg8XKkz784fk8fYtWN1QkM1OKiPAspbyxj73RgqI5Vk7hEpiFNQ+Sk1Y3emy7XZVBK7dkTgogyqI8oPv4nm6qldEAKnmYTCKCKF4Uq0ZQqARO4pJiKf+ZBVUtdgl7VvNqVko+SOygF7UffsTQ5Pmt2fcoi02oqNLeK5KdmUA/57wETa+RP3HgOaH1+mzlKvAG2J56CAawVUXFjoLRbq/JX98jhrjDhcFRKNXscnSYyLuHV2eCFuE2L9PtoW7nvHy3VuN1mkmvWJUrAMbRtBzlFJEh7v8L0zzREFrUxZduQhzvfJpigzKZFK5SlcENoJt82VC9ZvjxT4fVzn5NC2Eay++aG6oII3b3kS9/1qb53VS9gaoq9YwDtfd5g1MGHUeIXvlu1ZuGrVIJYdeUh1Xm5+9DlsfPgZ4/i4uibFmek3uksepwyyudx0zcvHKi4G+ooY33/AOJcG+oq495LTasri3jsmtyZAxwD65offYGxDnFJ2SinsP1BBIS/WLDTFQj42HfRVqwbrlCK2vgbnSJxyIBh8N4qw+51N4dTfU8C+yQM1fQ0GfW1lDCTS+bia2JuEcIwhHgWUHy5jcuFkjWDSNdgVuTj3z+1ZVZ8Z4uDTD64xj57aNYXJ4cma44KCnantNab63qI5KHSHBelwfRObJ6pKENuupG1sp3ZNoWdlT52lRtBXPXj98oPm94NRaRTjHpGWrsGuyN1u5/Su5UAGC8u8A5Lv+hpjOcT5+scs0+Lub1pcA2aaGB8ax/jG8WoA10TjE+EukjrmhsPSOmqX3aX9NUqPRt0IbAqYvahaMfjXGx8atx9vG6480HNGj9P7zZ8HQSWpT1SwzLAyLonlUlKFVzPw3/+tsBZLChUXFmwu8SKNZ6ZwVUhklQEjSYyLuJ3lYKyAKGHXJV5FuL+2RX4abEoJX/BOoiQJjneSOBx/851hZ8EoTRDL4HhHzQmTwH/RTQ/hwvXbq+1ynZNrNuwwWoYEg9j6Vi+PPbcPDzy+t0Y4Gy2VjUo0PzBhlDLFNgaXDQ1XhVXfaiesrGmEQl7w4uQBHH3JRut99LPxfOv+JwM786raj6h54KI0Cu/C9/UUsG/iQKww/cVzl9QoEl0UKy7vnXCaXgB44LG9zjGAbOl/+4oFHNQ1r9pHpfQ7KYnVgasSKYlywDUwZnjsbG0JBjulVQWJw3VXLyp+QSwWgTR/TL7e8iCEaRc+zkokvCBW+1V8200/2zYFTsAPvDJW0cJkwBXEPz5qbMOLd+Musj9uCfddMgsqGMIaEwJINDei2le9lwktMdKYubsoEBq1BDEJZ6kydgQpA6qsjO2zCYPl3eXYeTR27Zh1zFJZtHg08u4wWRtZccneEaO4qVOyJHj2wnMuMlNHCaiUKtVrh+eY1eUtpIxLFZS2TQTnphQFalLVvkc7oN1UXFiw+XGPjpcbTu/pqpDIKo1oEgVInAA9pRROXXt3rLDrolxxWeSnxRaM0SR4xxEc7yRKoxf3T+HF/fr4ODefqHSmUfjjHefiE8ZX3Pjtso15uL8uu84+QWWGC6OlWiscVyVR2FUIyNaCtDylqv22WYcMbRvB+p/urnEnKJUruGD99hprRd+V6IL126sxPVyVRuEsKHH3+/2nLLIqPmwKFFuQUWD6OVi3aafRbaJcUZHWYEEFju0aY6Uytl/+to6L1+KqWAy/m+PaQkUFccFVIGlUGDYJpJWHKyicUMCBRw7YXQwMyoMoKxGg3gWh0XYHGd9kD+xZGatg/I7xacsEyw+tFPUawsXfO03q2WalTc06W4vx3ggSB9n0MZm5R+3quqaATGrFYnOL8J+BnpU9OhtEVi4PEXM/zmrH1D6gXnhMZdECPRaxiqqhcZR3l+tcBCaHJxONkcwTqCllfT71QTA/S8Vo9wwXgnEngHgrpRrKOoBqUAEatiwzxcwxKmVTWF1NDk/WtdUPupvkmbIdF1ZUGN8lTbIWSwIVFxailAaNmoVHuaEEySpIWxIFiIvywEXYdVnoxy3yReDkV27ivJMXGsuTCN5A/XinsYzwiXLzMQk4rtfxY22kpVSessYXaXUmg6BSIMt0qFniW4cA0/cryvUo/BMbdtuJUxqZhPi4sTlofh6bH32uxkokzJYn9lhjtYQpFvJYftyC2LSxI6MlHHXJxrpyAZDLidFSI8jhfUUnC5Q4xUZQyeMfG7QwSqowcHkv2t7NdPsgjeIskNhSR7piEUindk2huKIYGbSzMlap2Q2OsmRoyDLEgC9k+4vw2DGYwvQxlleSgtKCQlSmhyCWzCW5o3I1MS4ApEqF6CqIxFkoSFGgDsRYtwTaZ5p3tnPTCJRxu9GxQStTXD9WGRV0lckQ69xParUTEB7D86JwQm0ASRcXD1cXovLWMvZhX039an+yRboqKfSs6jEqjaYPQn18ihyA/dMWEKmwLGd7VvS4W9d43TXNU8DirmfB9p0pPlBhYcGYaUmVlA7KC0S2wcUqzlXp2SxrMVeouLAQpTRodEcvyg0lSFY7h0kUIKZrmvzj44TduIV+nAJGIT7ehk8OADwlR1xWkTj6ewromT8vUayBJEQJnGEBJ05I9Dm8r9iwkK+zMuRj50h/QsuOpAR37W0KvkbIi6CiVGILlTB+kNRgjIY0xD1Htpgice0PW/usvvkhQFATRDZoqRI1zn762bhgllEomN1LgvjzzWaB4rsSJQlEG273yGgJF6zfjivu2IGVJxyGzY8+5/RuNb0X/SCjdPUgzcbVxD7STSCATZiOEkhdFvbBBXKUAJ31wrd7ebeTZUQiSp7QnkCYBDC9W5xhVpEkpuaRLg4FnX0EqHcHihJ2w223CZ1prEhc4re4xptwvb6L4qwZwlmWz4QfbLXOQmpbBdLlHmQiqRIxaF2RaozEMX6OoCY4ptqvGrcmmtBKAdtcD7uuxV7P1dLMgmm+2oL8lh8u261Upmrb4RoTqREFcjheUSuh4sKCi4lv2kVqlBuKqR3NSknpuki3PbpRwq7v8+9nd8iJTis4Ua44Z1FxQQR438mLnBUVPYUcxi3BDH3f87gMGQBqdqpfmDwQK5T5JLFgSLLL62feSIsvnAazcZxzUv3cu/yM442BGU2c+qpD6mJcuOArYWwKvkaoKIXH1q50crWIIwuXJiD6ObLFFJlIeO2k7lFBbMqErBCg5p1gy/jjuxLZFBsXrt+OeYHgniOjJXzzvifNMb7Ga2OtuGRsouUEaScukeTjFtrhSPyuAqnREsNGWQcn9F0tmk3uqFxVCMrSiiNRn4N0A/0X16aebDQLgKsg4l/LPyfowhIW0lzbY2t7GpcEEy6CfPfy7shUr0mvn0QJkpkCw2ufU6YeB3K9OfO8qEy/B1xiErR89zzwiopUsk0Bufk59F6sXTv2Xrk3ut6CzowUDJ5runZY8WKymgDcXMT8OqI+R7XXNF+t7kIJ2uGqHGvk3rfTXYSKiwiatVBN4rrRiK93WlwVCH3FAtacebw1q8itW0eqO8labhJc4wULNJFGOFIKuHXriHMGj65C3qi4yAliMxb4hOdFOHNGFKZMLlHXAWoVTke9rFiTvSOoXEhrCeK7AQTv15RSxnF1VWoBwDc//AZjVhERc7YUH/85sCn4GsGvu5PcUIKxLsLP0QUWIb5UrqCvCRYpJlxj1qTBlNUkyk3KNh6AXg+FlWRJ1DVpMjYR0ipcdu2jYmH0fqK3JhK/rQ7jYj2F3jN2t9IlSJ8LnjyTqQDWSNua8KpMukvf6nSJDWUbsLk3hZfD4ekkALoRma7SRqwFR5SrjCtFzwIqlFWkvLtcmy0njpcD+G19cf6YvFtsiZiYBI1kT0lLXVyFst39zCeqnTUK2YWTzq5FABIrAE3XDn92Gc9gatkaUu4xBdvhGhOpkXvfTncRKi7agKvrhmuKyjiS1uOqQBCxK3ei0nMG03gGSSscJRE4bMKwUukD5fljEDbrN2HL8BJXNzB9H23KhaCFSxSFnODg7nnVQLNJAkSG22RzZxkIKOF65tdey7aj7rfNfw4aiSdiIviMNVp3sZAzpiFNGJ+txkIp6fxbc+bxmQWzjSIq5oqveDDFtYjD5i62esXiSAVFM+kkhRYhPq6uAsYdzByg9qu6HUtblHwA7sHq0iLe7mjAjzvtgr26gI6K71EAcAD2a/nGIb6LRyBOQEfgKty3kKyUIzb3Jgnk1JzYPGEOFpUyDEXUTn+cq0zQrSaKsNWNz9SuZL/X8qJ5fKZ2TTkLnlHHdC/vro+dkANyi3LmVL6OSFHMyssCnOMqBAXt/DF5o8KncFKhJmBo12BXYmWTiwLQaIFhsJpwyUaT682le3bCcT988rXtcI2J1EjmnGYFF3aBiouUtCLqfRJhMoqk9bgu3kfHy9ZxiKrDpjhpRJh0bXNWmVqsxFjHphGM/DE2tdu/jwCw/gGz0qKnkEPpQAXKiwFy7uvrY4DYlAmm9gbveV9PAYWc1ChrBNqyxKQwu3D9dhQt7joiwLp3v646J1avWByrCHKlv6dQ4wbUaN05kTr3Dl8h5OqCMuDw3rDFFOnvKXjtcGwvooN4x7H8uAVY/8DumvEKKpnyArh4BB00P4/x/VPVGBGmoJmrlg5g9c3bYfHoaio5kWp6XcauIJ2Cq6tA3S5hEcD+COHAc+uY2DxRFda6Brv0+Y0EwYshd2ROm3T7zWrgFe8voJ3TgCoAeQDzoZUB3hhV3RAUUH64jMIJhdg0sCaa4SLjItw3QpQ1j+27RuN2+NjmZrA8MogjkqdpTGIxYnIhiFU+RCwnkyrDooLh9qzqMQZsDBMrZIankQD5l+VRebqin40UzHvNvGnFZKBemWdRaBjIH5Ov/m0bc2N5wmc215uLnc/V1KfBoJknFGIDpJpQ+5U9RsR8mMd8PtBzuiGIaKHeeiOqrUHqfi8SWJqlcQvLCiouUpCFJYTLDmuSNKZZ1uOqQOgtFqzjEFeHSXHSSOBLV8WDSWANCmAu2JQ16zbtjI3nENVOU71bnthj9dP3eXq0FJnmNagkmFIK6x/YXecC4qrQCc/9vePlOuFZQStRNj78TN29VF57CoFYBD7d8ww/rhmtAfcfqNRk0ejrKTSkEHlx/xTef8qiqoWLQK8dXJQWxUK+zi3JNqdMMUUKecHKEw5zjjWSF0F3IYcX96cPrLn+gd11a6NyReECL7Wrc11K4U9OWYTvPvSMNcaErjtVUxtmSilju7Y8sQcbH36mxuVpzZnR8XB82uHuR2YXSVwFgoLW2LVjTgqIsODXbEuDytPJFQJGAruIiQL3TWF6t34C9YqTshaIaqxCXMhPB7/MEhfh3oSLciHKmgcwp+4s7y7XxBJIqjgI4mTW7pItJ8YlIkwaixHnALAl/eyZgp5m5ZpRHR+HNVI440+Qic0T9bFDpuDmhhJxX4znq2TPaVApEfUODI91InJaQWKb536d1VShAWVr+WGdZSX8LFS2V7QCAjAqIlRJ2Z8Xm6LIVl4GyrvLdcq1sGK4/HAZkwvrlSXB52Dv5/e6vZdbE77IChUXKcjKEiKOrKwDXNOv+iw/bkGssFws5CFSH6DQHwcXJURYcRK0RElieZE4RaxBu+xKlNIqTqEU1U5Tva4WAUktVfx0nnFKI1N7TXPf1MRyRUUK8fNy9YqLUrlSkw7VRRHkyov7p2oE0iwyowRjgsRlzfCzmfR6MT4uDLhMAYhVhPrPRF70uLm4BPlMKZVaaeGThdULoJVWwfsQxM8c8sLEgUyulRWl8lRdm0dLZXzqpu1Ys2EHxkplq0IiSQaU4PlUdpAgrj7LYRIt4suBFJANuG44kXIXN0xwpzGxQBhj7VEZq2iLC9fsZo3EeXCoO+n9j1NIRPruB+eCwdLHqMxJqDjwiTNrnxyedJ4vSe6/q1IneExlv7vCrTJWqXFt8Mc/rSVPDYFAn5EBS0PtMQnLHeMOZaAyVtEubkXEZj1KFDckiCfUG+d5QPliVLjYnoVguuUIhYPpeYl61kubSsYxKG+tVUokCeYbnOPOqPYG52yfk8oMYGjbCE5dezeOvmQjTl17N4a2jQDIzhIijtUrFqNYyNeUJRbS4Z5+FUA1qGb4OSzktHm6QJu4X332oDVexNOjJaxaOoCrz47O9GFSwKxaOoB7LzkNXzx3SV3fbbgG1QRgFIbLU6rqbuFyvklZc9FND0Wub/wxSxKY1EVYTDMfgPr0l/79Gugr1tzjcHuzijlhig8BTKdDzfJazUCQLKtIRSlcc+4STB6oYO94GQrTQuwVd+ywKgABfW/8d0EwvslsZLRUnjF9qyjd3uC99H8jfGzviyvu2IFLbxvGiBfgNni+r+wwfUfmJt3Lu/XCPYhDFoWkfshV4WZmPIJ18T3qxqgRbFlFitPjmuvNoWdVD/o/04/eT/Q2bSGf9P5PDk9i/HaDZUAZKG0qYXzj+LSgEqW4iXHRMJ2TlK7BLvSs7Kkd04BCKolw7jrffaWO315/3k8OT0Ye03DcF8+SJ9zfJO5FwfFJPN5BhVSgvtS0aolWQrYZg4KoButu4F1pun9B95ga+qOtVYL31dVCLzzHk8DgnB1I1E5Z0+MkeCRNY2ojSfpVW2DOcgWYKFdqsoLYLCP8cfB3zU3HCBArcIvjGyHJeDSqdLIdZxO2TG4BjVw/SDBGgmtWkyhc3JfyIokEyzQbd/5YJL1WqwjH9HDh8L6iVYi1KUCCc6KZ6UhJNpis7mzPtelZDSqrWmHRR2YOabM4dC/vThZhP20K0HYQkvXq/LUbIcrXu4RqisZW4Xr/J4cnYwOruprqR6YDdcyw4EqU20aj6SVNuOxIG4/JgMpYJXXqTQDo/cT03EvjdhI+vpEAjaQxTM+LLZZH5Yno++ySgSV8vUbmeDuDc9LiwkKUO0hWlhAu+BYIj61diXsvOS3VwtWmUDGVRwnQwYU14GYRYjpGAPzJKYusffGVRqYAjmEGEiqLkoxFI8cB2g/e1RokSb0C4IvnLqmZD5efcTwKeXetvR/cMSlJFAn9PQX8ySmL6jxxioV85PX9sehEpcVAXxHr3v26xPNu9YrFiZVTwTnR7mwXhZwkml9zlfB9SqrMfnq01DKLPjKz6BrsQu8nehPt7ncNdqFwkuO7voCWWVoUTipYAxjmenPo/0x/bLsLJ9Z/749R5A627SuZvn5wR9zUvnYQd/+rwm8WrwlPCWCz9CicWEhlAZQG23hLUaxWGnG47Eg3a0fZ1B/f6iTObTl8bhoro3AdrtfOmlxvru2xEtqK5XlJauXkE7yvrhZaqed4k551VzpecSEibxeRnSKyS0QuadV1oxaPrmb1nUISRUvcQjs4Li7jYDrmmnOX1GW1COK6u5xGWdSo0sl0vo2DuuY5zwlTvSZh0ab0WbV0AOve5SZQF/KCy8843qldYZII7JefcTyuWjWIa85dUjdHbIqWYKBU27XyNt+nhBTygmJh+hXY31PAF89dgvefsqjGjaqnkMMXz12CxwPKwyTzoK9YwKqlA9Znq69YiJ2TtnNds4okGbFiIY/3n7Ko5p6te/frnOdXGvp7CqmVaT6uY5EEAXDqqw5xVtqE75PtfdNniS90eF+xYeUqaR7tWo80wsGnH4yeVXZBHNBCYJSw7oxgWiFRNGTYkOn0hT0reiIX19Z2B+qwUVxR1JlDguSBnlU96DnLfN2es2pdPtK657QLp93TApxSqPpKAJsbx8GnHxzp3pEltvtQXFFMrMjzcVFKNUtBZZs/XYNd5rnpY5h74fsT+0Nvmb+x105K3NB57TApHzse7/lJ6uITxH/fmuasdd5FXSp0X+Pcr5yv5f8feJc381l3RVQH7mr6iEgewH8BeCuApwD8FMB5SqlHbOcsW7ZMbdmypeFrn7r2bqOLw0BfEfdeclrD9bca12BvYReZMK3o/9GXbIzd+HFJJWmj0cB3wfNzEe4MAuCxtSsbaheQzlXosqHhagDHnABd83KYKFcaDvQXNz+AaeVKlHLKryvo4hLO1GC6VrGQxzknDeDWrSPGVKSj4+Vqqs3vPvRMNZZHf08BK084LNM0l+H7tfy4BXXtCroK2frjx4KJus9R59rq9q15ByxtM+GaLcN0744//CX48S/31Dy7/v0K3gvb9Vzmlgl/vi078hBrppVTX3UIHnnmhWp7XVyYwm0L9renkEN5StW4DNncwmzPddRciLrXjSIiW5VSyxquaI7RzvVIlsSlvjQFSgym9/PPAVDjliBFQXFFMdGCNquUmmn66XLdZrYva/ZeuTf6ANHKGQCRrgG53lyNO0InkPV9sM3zoEA2OTwZ62aV1FUjTuHmXzccONW1z1EuJy51uKS+jaQI9KzoqZ5jaku4Hfvu3FeTtjN3ZA6V3ZX6uCYRP9q53hzQD1QeT2lBkEft9WyuUEfl0Pun08+Gs4uP53rmeg9s72BTENE07924a7VKMZF2LdLpios3AFijlFrhfb4UAJRSV9vOyWqhECcozGbCi3SfVvXfpjRqZRtcGdo2ggvXbze+T2eqkisOk8CepUIg6lp+3Z2adSGuXY20u9G6W3Hfotrg0vfgMX09BSgFjJXK1Wwso+O1f4frWXLF940KEtOzGLxWVJ1p+tqKsUoLFRfpaOd6pJXMJGGdTDN27ZhdsDQI5aVNpfp4Fy0UWtqNyzzfd+c+e1pQb6xsAr0UBTJfWv4cNfv5rQZ+tcQ4yULpVTc/PYUIEB3nxdR3wKCoCykSTPWWd5drFCqFE81Kp/A1TSlw06TdjVMgZXVv2/m+n62Ki3cBeLtS6s+9z38K4GSl1MdDx30EwEcAYNGiRSc98cQTmVy/U4WjVtGu/tt2Xvt7Crj8jPjd4FZz2dBwXfrYTlOwEDIXsFlrJbV+ms1QcZGOdq9HCInCtvsbtSNLJVU8cRYQ7d61bgdR1j39n+lvYUvITCbtWmRWZBVRSn0FwFcAvcORVb0uWRZmM+3qf1bZVFrFVasGsezIQ2ZMewmZrbQq4xMhNpq1HiEkijSZZ6KyeRBN3Bilzfgzk3HNWkFIM+h0xcUIgIWBz0d4ZWSWM9OURjOtvYTMRlavWGx08WtGxicy5+B6hHQ0VES0h7k27sYUqh0cuJbMLjpdcfFTAMeKyNHQC4T3Anhfe5tECCGkE5lp1lpkRsH1CCFkzjMXrUxI59DRigul1AER+TiATdBxX69XSu1oc7MIIYR0KLR+Is2A6xFCCNHMNSsT0jl0tOICAJRSdwK4s93tIIQQQsjchesRQgghpH0wkgohhBBCCCGEEEI6FiouCCGEEEIIIYQQ0rFQcUEIIYQQQgghhJCOhYoLQgghhBBCCCGEdCxUXBBCCCGEEEIIIaRjEaVUu9uQKSLyHIAn2t2OJvFyAL9tdyNmAByneDhGbnCc3OA4udEJ43SkUmpBm9swJ5jB65FOmKetZC71dy71FWB/ZzNzqa/A7OtvqrXIrFNczGZEZItSalm729HpcJzi4Ri5wXFyg+PkBseJzATm2jydS/2dS30F2N/ZzFzqKzD3+muDriKEEEIIIYQQQgjpWKi4IIQQQgghhBBCSMdCxcXM4ivtbsAMgeMUD8fIDY6TGxwnNzhOZCYw1+bpXOrvXOorwP7OZuZSX4G5118jjHFBCCGEEEIIIYSQjoUWF4QQQgghhBBCCOlYqLgghBBCCCGEEEJIx0LFRQcjInkR2SYi3/U+Hy0i94vILhFZLyLz293GdiMij4vIsIhsF5EtXtkhIvIDEfmF939/u9vZbkSkT0RuEZFHReTnIvIGjlMtIrLYm0f+v+dF5AKOUy0icqGI7BCRn4nIjSLSzXdTPSLySW+MdojIBV4Z5xLpCERkoYhsFpFHvDn6Sctxb/behztE5D9a3c6scOmviPSKyB0i8pB3zJ+1o62N4r2THwj04wrDMV3eu3qX9+4+qg1NzQTH/n7Ku/cPi8hdInJkO9qaBS79DRx7jogoEZmRaTRd+yoi7wk8299qdTuzwnEuL/LeZdu8+Xx6O9raLqi46Gw+CeDngc9/D+AapdQxAPYC+FBbWtV5LFdKLQnkN74EwF1KqWMB3OV9nut8CcC/KaWOA/A66HnFcQqglNrpzaMlAE4CMA7gO+A4VRGRAQCfALBMKfVaAHkA7wXfTTWIyGsBfBjA66Gft3eKyDHgXCKdwwEAFymlXgPgFAAfE5HXBA8QkT4A/wjgTKXU8QDe3fJWZkdsfwF8DMAjSqnXAXgzgC/MUCXsJIDTvH4sAfB2ETkldMyHAOz13tnXQL/DZyou/d0G/bt1AoBbAHyutU3MFJf+QkReAi1H3N/a5mVKbF9F5FgAlwI41XtPXdDqRmaIy729DMBNSqml0Ouvf2xtE9sLFRcdiogcAWAlgH/xPguA06BfuADwNQCr2tK4zucs6PEBOE4QkV4AbwJwHQAopfYrpUbBcYrijwD8Uin1BDhOYeYBKIrIPAA9AJ4B301h/huA+5VS40qpAwD+A8DZ4FwiHYJS6hml1IPe3y9AK7MHQoe9D8BtSqknveOebW0rs8OxvwrAS7z11sEA9kArPGYUSrPP+1jw/oUj8QffRbcA+COv3zMOl/4qpTYrpca9j/cBOKKFTcwUx/sLAFdCK6QmWtW2rHHs64cB/F+l1F7vnJn8nnLprwLwUu/vXgBPt6h5HQEVF53LFwF8GkDF+/wyAKPeIhgAnkL9j+5cRAH4vohsFZGPeGWHKqWe8f7+NYBD29O0juFoAM8B+FfPtOxfROQgcJyieC+AG72/OU4eSqkRAJ8H8CS0wmIMwFbw3RTmZwD+QEReJiI9AE4HsBCcS6QD8dwElqJ+Z/bVAPpF5B7vN/YDLW9cE4jo7/+BVjo+DWAYwCeVUhXMQES7Gm8H8CyAHyilwn0dALAbALx39xj0OnNG4tDfIB8C8L2WNKxJxPVXRE4EsFAptbEd7csSh3v7agCvFpF7ReQ+EXl7yxuZIQ79XQPg/SLyFIA7Afx/rW1he6HiogMRkXcCeFYptbXdbZkB/L5S6kQA74A2/XxT8Eul8/3O9Zy/8wCcCODLnmnZiwiZqHOcpvFMg88EcHP4u7k+Tl5MhrOglWGHAzgIwIxeJDQDpdTPoXe6vg/g3wBsBzAVOmZOzyXSGYjIwQBuBXCBUur50NfzoN3mVgJYAeAzIvLqFjcxU2L6uwL6WT0c2kz7/4jISzEDUUpNeW6PRwB4vee+Nmtx7a+IvB/AMgDrWti8zInqr4jkAPwDgIva1LxMcbi38wAcC+3edR6Ar3pubjMSh/6eB+AGpdQR0Jsi/8+753OCOdPRGcapAM4UkccBfBvaDPtLAPo882xAT+iR9jSvc/B2gH3TsO9A+5T/RkQOAwDv/xlrNpYRTwF4KqC1vQVakcFxMvMOAA8qpX7jfeY4TfMWAI8ppZ5TSpUB3Ab9vuK7KYRS6jql1ElKqTdBx/34L3AukQ5CRArQQvw3lVK3GQ55CsAmpdSLSqnfAvghdMyWGYlDf/8M2jVGKaV2AXgMwHGtbGPWeG6hm1GvYB6BtgKD9+7uBfC7ljauCUT0FyLyFgB/Ax2zZbLFTWsKlv6+BMBrAdzjyRGnANgwUwN0+kTc26cAbFBKlZVSj0H/1h7b4uZlTkR/PwTgJu+YnwDoBvDyljaujVBx0YEopS5VSh2hlDoK2mT9bqXUn0BP4Hd5h50P4PY2NbEjEJGDvOBD8Fwf3gZtor0BenwAjhOUUr8GsFtEFntFfwTgEXCcbJyHaTcRgOMU5EkAp4hIj+cP7c8lvptCiMgrvP8XQce3+BY4l0iH4D2/1wH4uVLqHyyH3Q7g90VknufydDJqA4bPGBz7+yT0Ow0iciiAxQB+1ZoWZoeILPB3nEWkCOCtAB4NHRZ8F70Lep05Iy3AXPorIksB/DO00mJGK4zj+quUGlNKvVwpdZQnR9wH3e8t7WhvIzjO5SFoawuIyMuhXUdm3HMLOPc3+J76b9CKi+da2My2IjP0PTVnEJE3A7hYKfVOEXkltAXGIdARkt8/W7TGafDG4zvex3kAvqWU+jsReRm0NnIRgCcAvEcptadNzewIRGQJdKDX+dAv9D+DVlxynAJ4CrAnAbxSKTXmlXE+BRCdnutc6KB12wD8ObS/NN9NAUTkP6F9xssAPqWUuotziXQKIvL7AP4TOpaDH8fhr6HnJpRS/+Qdtxr696IC4F+UUl9seWMzwKW/InI4gBsAHAZAAKxVSn2j9a1tDBE5ATrwZh7e77xS6rMi8lkAW5RSG0SkG8D/g471sQfAe5VSM1XYc+nvvwMYhI7NBABPKqXObE+LG8Olv6Hj74GWI2ai4sLl3gqAL0BbJkwB+Dul1Lfb1ugGcOzvawB8FTqAsALwaaXU99vW6BZDxQUhhBBCCCGEEEI6FrqKEEIIIYQQQgghpGOh4oIQQgghhBBCCCEdCxUXhBBCCCGEEEII6ViouCCEEEIIIYQQQkjHQsUFIYQQQgghhBBCOhYqLgghhBBCCCGEENKxUHFBCCGEEEIIIYSQjoWKC0IIIYQQQgghhHQsVFwQQgghhBBCCCGkY6HighBCCCGEEEIIIR0LFReEEEIIIYQQQgjpWKi4IIQQQgghhBBCSMdCxQUhhBBCCCGEEEI6FiouCCGEEEIIIYQQ0rFQcUEIIYQQQgghhJCOhYoLQgghhBBCCCGEdCxUXJCORUQ+JCJKRI4Ilf+9V/7+UPlbvfI3ZtiGo7w63xlxzAe9Yw7O4HpniMi9IjIqIs+LyA4R+aekdYvIPSJyS6PtcbjODSKypUl1v9kbV//fCyLyqIh8VURe14xrZoGIvE1ELmh3O0yIyCtEZI2IHNXuthBCCGkMrpPm9jopcI0lIrJeRH4tIvtF5GkR+aaI/PfAMfcE1lMHROSXInKNiLw0dEzTx4SQtFBxQTqZH3v/h39g3whg3FI+CWBrk9vVFETkPAAbAAwDOA/AewB8DcAfAOhrX8vazp8AeAOAswBcA2AQwBYR+VBbW2XnbQAuaHcjLLwCwOUAjmpzOwghhDQO10lzfJ0kImcDeADAywBcCOAtAC4C0Avg+6HDN0Ovp94M4P8A+DCA61vVVkIaZV67G0BIBI8C2AP9Q3sTAIhIAcAyADfA/IO8VSk12cI2ZsnHAdyplPpooOzfAHxORKRNbeoEHlZK/cz7+24R+Sr0D+2XReQ/lFK72ti2Kt7crLS7HYQQQuYMXCfN4XWSiBwOrbi5EcAHlVIq8PWNBiuYPUqp+7y/fyQiBwG4UkQWKKWea0GTCWkIWlyQjsV7Af8EtT+8S73//xHAa0XkJQAgIjkAJwO41z9QRP5ARP5DRMZF5Heei8FLgtcQkUUi8m0R2eMdt0lEFke1S0SWe24L/8vy/QMicoOh/AYR2RZRdR+AX5u+CP4YichFIvJTERkTkd+IyB0ickxUm73zXisiG722vyAiN4vI7wW+L4jI50XkSRGZ9EwNvyMi8x3qXuW5cUyIyI9E5DWB724SkXsM56zx2l+Iqz+IUqoCvaswBeDPQ3X+uWc2OikiT4jIp0Pf3yAiW6La6x0XO8a+SaWIfEREfglgAsBXoHc6jgyYZN4QuvZKEXnEm28bReQQETlGRDaLyIveMSeErpUTkUtEZJfXt/8SkfMt7Xmfd9zzIvI98UyIRbuHDHuHb/bb532X+t4TQghpD1wnTTNH10l/DmA+gItCSgsAgFLquzHN8i1vjoprPyGdABUXpNP5MYAlIlL0Pr8B+kX7MwBj0D/CAHA8tFncvQAgIqcC+HfoH7h3QZvunw7gX/2KReQQAD8CsBjAR6FNDg8C8O+B69UgIisAbATwOaXUX1vafB2Ad0nA39L7+12INsl7EMB5IvJx0Vp0G0dAm/idBW3mlwfwYxHptZ3g/WDfC6AbwPsBfBB6zO4Qqe5SXArtlvEZAG+FHrMxr/4ojgTwDwCuBPA+6PuwSUS6ve+vA/AmETk60B4BcD6AbyilyjH116GU2gtgC4BTAnWuBvBlAEMA3un9faWIfDxhewH3MT4VwP8E8FcAzgBwBYBvQc+7N3j/rgwcvwjAZwFcBuAj0IvNrwD4tvfvXdCWcN8O3BcA+N/eOV8BsBLAdwBcL/W7KSdD70hd5NV/oncOADwDfX8B4GOB9gHp7z0hhJD2wnVSPXNlnfSHALYopX4bc30bR3n/G5VBhHQcSin+47+O/Qf9UlYA3uR9Xg9gnff3RgB/6/39F95xC7zP/wlgc6iu07xjXut9vhLA7wAcEjimH/pH6GPe56O8c94J4EzoXfWLQ/V+0DvmYO/zSwG8CODPAsf8D2i/0pdF9HUhgO1eXQrAr6B/6H4v4pw8gCKAFwB8IFB+D4BbAp//H4CdAOYHyo6FtlpY6X3+LoAvJLw/N3htfWOg7EgABwB81PucA/AkgCts98JS95ujjoE2jfx5YMz3Abg8dMxnoX+Q867tTTjGJQCHho7/PIDHLWN1AMCrAmWf89oTrPd0r+y/eZ+PgXZBOT9U39cB/DTUnjEA/YGyC7y6it7n13qf3xyqK/G95z/+4z/+47/2/wPXSXN5nfQogBsd23EPgFuhN0e6oOOCPAXgpwDENCb8x3+d9o8WF6TT+Sn0y903g3wjtFkkANwXKv+FUuo5EemB3nG4SUTm+f+gdw3KAE7yznkLgB8AeD5wzAvQOxXLQu04B8DN0OZ4n49qsFLqeQC3QP9Q+3wQwAal1O8iztvtte0tAL4A7bd6IYCHJRAxXEROEZEfiMjvvLEZB3AwgFdHNOst0Lv0lUBfHwPweKCv2wF8UEQ+LSInhHb8o3hWKeUHCINS6gnoMXy997kCvYPzgUCdH4TeJfgZ0hNs3xugd4FuDt3zuwEcCr374tReINEYb1VK/SZBmx9XSv0y8NmPz3G3oWzA+/+PoBUX3wn17S7oXbbgTs9PlbZG8XkkVJeN7Uh37wkhhLQXrpPm9jqpzkUkgrOh7+8EgB9C9+1PlFJJ6iCkbVBxQToapdQ49A/FG70fpSMwHUX7JwBO8V7yb8S032Y/tIb9H6Ff0P6/SQAFaI09ALwcwLmhY8oAlgeO8TkT+gfyO45Nvw7AH4jIK0XkVdCa7djIzUqpKaXUXUqpi5VSywCsAHAItOk/RGQRdJRogd49ORXAfwfwLLR5o42XQ7szhPv6Skz39SoA/xfAXwJ4CMBuEfmkQ1+ftZQdFvj8r9A7DMtF+8+eg8YjWQ8A8JUGL/f+34Ha/m32yoP3M7K9Ccc4idICAEZDn/cbyv0y/1ovh57PY6jt2w3QOyfBcbbVHzU3gPT3nhBCSBvhOmlOr5NGoF1QXbkbeiyWQlvR/L5S6r8SnE9IW2FWETITuBfap/CN0DvWvi/eAwBeAu1ScAy02T2ghTcFYA2AOw31Pe39vwc6rdaVhmNeCH3+/wB8CsD3ReQPo3YEAEAp9UMR+QW0xly8a4bTUsWilPq+iDwE4Div6O0AegCcpZR6EQC8XYFDYqryFxP/Yvjut961JgD8LYC/FZFjof1ZvygiO5VS/xZR9yssZTsC/XhcRP4dejyOhlaa3hjTZisi0g+9A/JFr2iP9/87YVYm7EzQ3iRj3Ipdij3QO0anwpy1xLQgSkQD954QQkj74Tppbq6T7gHwNyJyiFJqT8yxALBXKbXF4ThCOhIqLshM4McAPgkdpMg3f4RS6nkR2QHgYq/oXq/8RRG5D8BipdRnI+q9CzrQ1A6lVCmmDc9Da/X/Azqg0mmeqWMU10Nr5QHg60qpqaiDReQVSqlnQ2Xd0LsnfjaIIrTweiBw2HsQ/yzfBR1kaquLSaBS6hcicjF0EMfXQKcbs/EKEXmjbwbp7XaciECAL4/roMfkeABDSqnRuHaYEB0Z/Rro3aLrvOKfQMebOFwptTGmirj2ph1jn/2It3BIwt3Qfe1VSv2gwbpiLTAS3ntCCCHth+ukublOug7Ap6Fja/2P8JcistJhTUTIjIGKCzIT8E0e3wH9wxzkJ9ARo/cC+Hmg/NMA7hKRCrQf5QvQ5nQrAfyNZxr3D9CRo+8Wkf8NbXJ3KHSgqx8ppWo03Uqp34nIW6EDWn1XRN7umWja+Bq0WeE81P84mdgkIo8CuAPAbgC/B50hoh/AP3vH+ELsv4rIddA/bhej3kUgzBronZeNInI99O7BAHRU7BuUUveIyHegfS63QSsB/AwXP4yp+7cAviEil3nnXQFtBXBD6LghaLPUE6Ejc7tyguho493Q/ql/Bm1t8RdKqV0AoJQaFZE1AL4kIkd6bc55xy9XSv1xgvamHWOfRwEcKiIfhI7q/lul1OMJ+luDUmqniPwTdKaRz0FnU+n22vVqpdSfR1ZQy5PQfT5fRMYAlJVSWxq494QQQtoP10lzcJ2klHraW2vc6LkJXQ99jwYAvBfAmxBvaULIjIExLkjHo5R6ClrgEgR2Ejx+4pcHNeRKqR9Bv7AXQEeKvgP6R3o3PFcCpdNHnQItaF4DbaL4Oeg0VQ9b2vIMdLDEowDcJhG5uz1TzfsB3OvoQ/g5aPPGv4dOUXYNdFyD31dK/cSrcxjajPBk6OjW7wPwbu84K971T4EOUPUVAN+D/uGcxHQwyB8DWAWdzvN26ABY5ziYFT4BvShYA53S8wUAKzyTymAbJr3r7vb658o3oe/zRmgf1p8BWKaUqvH9VEp9DjoF6Du89t8IbTr7n0nam3aMA9wEvRj5HHTQtDWO50XxMWhT3Q9Am/XeAL24TKRY8Pr4Yeh7+x9e+4D0954QQkib4Tpp7q6TlFK3Qvd1FMCXoBU3/wCdae0tLnUQMlMQxUCyhDQF0fnPRwB8XCl1Xdzxsx3Px/QJANcrpT7TpjbcAJ1aLBwNnRBCCCEthOukWjphnURIJ0NXEUIyxosG/Rpoc80X0EAQytmAt9vyOuhdj5dh2pyTEEIIIXMMrpNq4TqJEDdiXUVE5HoReVZEfhYoWy8i271/j4vIdq/8KBEpBb77p8A5J4nIsIjsEpFr/TzFInKI6FzLv/D+7/fKxTtul4g8LCInZt57QprDSZjOnf6BGP/OucDh0H6j74OOS/FUm9tDCJmBcD1CyKyB66RauE4ixIFYVxEReRO0n9TXlVKvNXz/BQBjSqnPishRAL5rOe4BAJ+A9mW7E8C1SqnvecHm9iil1orIJQD6lVJ/JSKnQ6dWOh3ad+tLSqmTG+ksIYQQQmYmXI8QQgghc5dYiwul1A+hcxvX4e1SvAcxJl4ichiAlyql7vMCA30dOrgNAJwFHVUY3v/B8q8rzX0A+rx6CCGEEDLH4HqEEEIImbs0GuPiDwD8Rin1i0DZ0SKyDTqf82VKqf+ETssTNHt6yisDgEO9CMQA8GvoNEvwvt9tOOcZhBCRj0BnE8BBBx100nHHHddQpwghhJDZyNatW3+rlFrQ7nY0Aa5HCCGEkBlA2rVIo4qL81C7u/EMgEVeHueTAAyJyPGulSmllIgkTnOilPoKdOoiLFu2TG3Zwgx+hBBCSBgReaLdbWgSXI8QQgghM4C0a5HUigsvZc/Z0AF2AFTzD096f28VkV8CeDV0qqMjAqcf4ZUBwG9E5DCl1DOe6eWzXvkIgIWWcwghhBBCuB4hhBBC5gCxMS4ieAuAR4ORb0VkgYjkvb9fCeBYAL/yTC+fF5FTPD/UDwC43TttA4Dzvb/PD5V/wIvmfQp0wK06s0xCCCGEzGm4HiGEEEJmOS7pUG8E8BMAi0XkKRH5kPfVe1EfBOtNAB720pHdAuCjSik/kNZfAvgXALsA/BLA97zytQDeKiK/gF58rPXK7wTwK+/4r3rnE0IIIWQOwvUIIYQQMneJTYc606BPKSGEEGJGRLYqpZa1ux1zAa5HCCH/f3v3HyfXXd/3/v2Z1Xh31i67MlGpvZZsQxz5oixYWMVulduLzA0yNpiNTQLmZ1tuSB8Nj9YOVSO1biwTp1aqJqT0prQkUKAQI2ObxUZOBUXKTetbGSSv5I3AutjgX2MHq0i7IO9oPdr93j/mnPX8OOfMOTNnZs7uvJ6Phx/WfOfX95w5M/v9fr7f7+cLoFGrbZF2looAAAAAAAB0FIELAAAAAACQWe1uhwoAAFI0Pz2vMwfOaHF2UbmRnIa2DGlwfLDX1UKfm5wqave+43p+pqQLRwvatnW9JjaO9bpaAIA+QeACAICMmJ+e19zeOalcub04u1i5LRG8QM9MThW14/5plcoLkqTiTEk77p+WJIIXAICuYKkIAAAZcebAmaWgxZKyVw70yO59x5eCFr5SeUG79x3vUY0AAP2GwAUAABmxOLuYqBzohudnSonKAQBIG4ELAAAyIjcS/Gc5rBzohgtHC4nKAQBIGy0hAAAyYmjLkJSvK8x75UCPbNu6XoX8QE1ZIT+gbVvX96hGAIB+Q3JOAAAywk/Aya4iyBI/ASe7igAAeoXABQAAGTI4PkigApkzsXGMQAUAoGdYKgIAAAAAADKLwAUAAAAAAMgsAhcAAAAAACCzCFwAAAAAAIDMInABAAAAAAAyi8AFAAAAAADILAIXAAAAAAAgswhcAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyCwCFwAAAAAAILMIXAAAAAAAgMwicAEAAAAAADKLwAUAAAAAAMispoELM/ucmb1oZn9VVbbTzIpmdsT777qq+3aY2RNmdtzMtlaVX+uVPWFm26vKLzWzR7zyPWZ2jlc+6N1+wrv/ktSOGgAALCu0RwAA6F9xZlx8XtK1AeWfdM5d4f33kCSZ2eslvVfSBu85/8HMBsxsQNIfS3q7pNdLutl7rCT9vvdaPy/plKSPeOUfkXTKK/+k9zgAANCfPi/aIwAA9KWmgQvn3F9KOhnz9d4l6SvOuXnn3I8kPSHpzd5/Tzjnfuice1nSVyS9y8xM0jWS7vWe/wVJE1Wv9QXv3/dKeqv3eAAA0GdojwAA0L/ayXHxMTN7zJu6udorG5P0bNVjnvPKwspfLWnGOXe2rrzmtbz7Z73HNzCzj5rZITM7dOLEiTYOCQAALDO0RwAAWOFaDVx8WtLrJF0h6QVJf5BWhVrhnPuMc26Tc27TmjVrelkVAADQPbRHAADoAy0FLpxzP3bOLTjnFiX9iSpTLyWpKGlt1UMv8srCyn8iadTMVtWV17yWd/+I93gAAADaIwAA9ImWAhdmdkHVzV+R5Gf4fkDSe70M3JdKukzSdyR9V9JlXsbuc1RJmPWAc85JOiDp3d7zPyzp61Wv9WHv3++WtN97PAAAAO0RAAD6xKpmDzCzuyW9RdLPmdlzkm6X9BYzu0KSk/SUpN+QJOfcMTO7R9L3JJ2V9JvOuQXvdT4maZ+kAUmfc84d897ityV9xczulDQl6bNe+Wcl/Rcze0KVZFzvbfdgAQDA8kR7BACA/mUrbdBg06ZN7tChQ72uBgAAmWNmh51zm3pdj35AewQAgEattkXa2VUEAAAAAACgowhcAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyCwCFwAAAAAAILMIXAAAAAAAgMwicAEAAAAAADKLwAUAAAAAAMgsAhcAAAAAACCzCFwAAAAAAIDMInABAAAAAAAyi8AFAAAAAADILAIXAAAAAAAgswhcAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyCwCFwAAAAAAILMIXAAAAAAAgMwicAEAAAAAADKLwAUAAAAAAMgsAhcAAAAAACCzCFwAAAAAAIDMInABAAAAAAAyi8AFAAAAAADILAIXAAAAAAAgs5oGLszsc2b2opn9VVXZbjN73MweM7OvmdmoV36JmZXM7Ij333+ses6VZjZtZk+Y2afMzLzy883sW2b2A+//q71y8x73hPc+b0r96AEAwLJAewQAgP4VZ8bF5yVdW1f2LUm/6Jx7g6T/T9KOqvuedM5d4f33j6rKPy3p1yVd5v3nv+Z2Sd92zl0m6dvebUl6e9VjP+o9HwAA9KfPi/YIAAB9qWngwjn3l5JO1pV90zl31rt5UNJFUa9hZhdIepVz7qBzzkn6oqQJ7+53SfqC9+8v1JV/0VUclDTqvQ4AAOgztEcAAOhfaeS4+IeS/rzq9qVmNmVm/4+Z/e9e2Zik56oe85xXJkmvcc694P37ryW9puo5z4Y8p4aZfdTMDpnZoRMnTrRxKAAAYJmiPQIAwArVVuDCzP6lpLOSvuwVvSBpnXNuo6TfkvRnZvaquK/njX64pPVwzn3GObfJObdpzZo1SZ8OAACWMdojAACsbKtafaKZ/X1J75D0Vu8PvJxz85LmvX8fNrMnJf2CpKJqp29e5JVJ0o/N7ALn3Ave1MsXvfKipLUhzwEAAKA9AgBAH2hpxoWZXSvpn0u6wTk3V1W+xswGvH+/VpVEVj/0pl7+1Myu9rJ3f0jS172nPSDpw96/P1xX/iEvm/fVkmarpnACAIA+R3sEAID+0HTGhZndLektkn7OzJ6TdLsqWbsHJX3L20XsoJex++9J+oSZlSUtSvpHzjk/kdY/ViUjeEGVNaj+OtRdku4xs49IelrSr3nlD0m6TtITkuYk/YN2DhQAACxftEcAAOhf5s2qXDE2bdrkDh061OtqAADQkvnpeZ05cEaLs4vKjeQ0tGVIg+ODqby2mR12zm1K5cUQifYIgOVqcqqo3fuO6/mZki4cLWjb1vWa2BiYkxhIrNW2SMs5LgAAQLrmp+c1t3dOKlduL84uVm5LqQUvAAAIMzlV1I77p1UqL0iSijMl7bh/WpIIXqCn0tgOFQAApODMgTNLQYslZa8cAIAO273v+FLQwlcqL2j3vuM9qhFQQeACAICMWJxdTFQOAECanp8pJSoHuoXABQAAGZEbCf6zHFYOAECaLhwtJCoHuoWWEAAAGTG0ZUjK1xXmvXIAADps29b1KuQHasoK+QFt27q+RzUCKkjOCQBARvgJODu1qwgAAFH8BJzsKoKsIXABAECGDI4PEqgAAPTMxMYxAhXIHJaKAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyCwCFwAAAAAAILMIXAAAAAAAgMwicAEAAAAAADKLwAUAAAAAAMgsAhcAAAAAACCzCFwAAAAAAIDMInABAAAAAAAyi8AFAAAAAADILAIXAAAAAAAgswhcAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyCwCFwAAAAAAILMIXAAAAAAAgMwicAEAAAAAADIrVuDCzD5nZi+a2V9VlZ1vZt8ysx94/1/tlZuZfcrMnjCzx8zsTVXP+bD3+B+Y2Yeryq80s2nvOZ8yM4t6DwAA0F9oiwAA0L/izrj4vKRr68q2S/q2c+4ySd/2bkvS2yVd5v33UUmflip/+CXdLukqSW+WdHvVH/9PS/r1qudd2+Q9AABAf/m8aIsAANCXYgUunHN/KelkXfG7JH3B+/cXJE1UlX/RVRyUNGpmF0jaKulbzrmTzrlTkr4l6Vrvvlc55w4655ykL9a9VtB7AACAPkJbBACA/tVOjovXOOde8P7915Je4/17TNKzVY97ziuLKn8uoDzqPWqY2UfN7JCZHTpx4kSLhwMAAJaZzLRFJNojAAB0SirJOb3RCZfGa7XyHs65zzjnNjnnNq1Zs6aT1QAAABnU67aIdz/tEQAAOmBVG8/9sZld4Jx7wZti+aJXXpS0tupxF3llRUlvqSv/C6/8ooDHR70HAAAr0vz0vM4cOKPF2UXlRnIa2jKkwfHBXlcrq2iLdMnkVFG79x3X8zMlXTha0Lat6zWxcaz5EwEASEE7My4ekORn4/6wpK9XlX/Iy+h9taRZb4rlPklvM7PVXiKst0na5933UzO72svg/aG61wp6DwAAVpz56XnN7Z3T4uyiJGlxdlFze+c0Pz3f45plFm2RLpicKmrH/dMqzpTkJBVnStpx/7Qmp4pNnwsAQBribod6t6T/KWm9mT1nZh+RtEvSL5vZDyT9n95tSXpI0g8lPSHpTyT9Y0lyzp2U9LuSvuv99wmvTN5j/tR7zpOS/twrD3sPAABWnDMHzkjlusKyV97naIv0zu59x1UqL9SUlcoL2r3veI9qBADoN7GWijjnbg65660Bj3WSfjPkdT4n6XMB5Yck/WJA+U+C3gMAgJXIn2kRt7yf0BbpnednSonKAQBIWyrJOQEAQPtyI8F/lsPKgW64cLSQqBwAgLTREgIAICOGtgxJ+brCvFcO9Mi2retVyA/UlBXyA9q2dX2PagQA6Dft7CoCAABS5O8ewq4iyBJ/9xB2FQEA9AqBCwAAMmRwfJBABTJnYuMYgQoAQM+wVAQAAAAAAGQWgQsAAAAAAJBZBC4AAAAAAEBmEbgAAAAAAACZReACAAAAAABkFoELAAAAAACQWWyHCgBdMj89rzMHzmhxdlG5kZyGtgyx7SWAZWFyqqjd+47r+ZmSLhwtaNvW9WyPCgDoGgIXANAF89Pzmts7J5UrtxdnFyu3JYIXADJtcqqoHfdPq1RekCQVZ0racf+0JBG8AAB0BUtFAKALzhw4sxS0WFL2ygEgw3bvO74UtPCVygvave94j2oEAOg3BC4AoAsWZxcTlQNAVjw/U0pUDgBA2ghcAEAX5EaCf27DygEgKy4cLSQqBwAgbbSYAaALhrYMSfm6wrxXDgAZtm3rehXyAzVlhfyAtm1d36MaAQD6Dck5AaAL/ASc7CoCYLnxE3CyqwgAoFcIXABAlwyODxKoALAsTWwcI1ABAOgZlooAAAAAAIDMYsYFAHTJ/PQ8S0UAAEAik1NFlmqh7xG4AIAumJ+e19zeOalcub04u1i5LRG8AAAAgSanitpx/7RK5QVJUnGmpB33T0sSwQv0FZaKAEAXnDlwZilosaTslQMAAATYve/4UtDCVyovaPe+4z2qEdAbBC4AoAsWZxcTlQMAADw/U0pUDqxUBC4AoAtyI8E/t2HlAAAAF44WEpUDK1XLLWYzW29mR6r++6mZ3WJmO82sWFV+XdVzdpjZE2Z23My2VpVf65U9YWbbq8ovNbNHvPI9ZnZO64cKAL0ztGVIytcV5r1yAC2jPQJgJdu2db0K+YGaskJ+QNu2ru9RjYDeaDlw4Zw77py7wjl3haQrJc1J+pp39yf9+5xzD0mSmb1e0nslbZB0raT/YGYDZjYg6Y8lvV3S6yXd7D1Wkn7fe62fl3RK0kdarS8A9NLg+KCGrx9emmGRG8lp+PphEnMCbaI9AmAlm9g4prtuHNfYaEEmaWy0oLtuHCcxJ/pOWruKvFXSk865p80s7DHvkvQV59y8pB+Z2ROS3uzd94Rz7oeSZGZfkfQuM/u+pGskvc97zBck7ZT06ZTqDABdNTg+SKAC6CzaIwBWnImNYwQq0PfSWlz9Xkl3V93+mJk9ZmafM7PVXtmYpGerHvOcVxZW/mpJM865s3XlDczso2Z2yMwOnThxov2jAQAAyxHtEQAAVqC2AxfeOs8bJH3VK/q0pNdJukLSC5L+oN33aMY59xnn3Cbn3KY1a9Z0+u0AAOiY+el5zX5qVqd+95RmPzWr+en5XldpWaA9kh2TU0Vt3rVfl27fq8279mtyqtjrKgEAlrk0loq8XdKjzrkfS5L/f0kysz+R9A3vZlHS2qrnXeSVKaT8J5JGzWyVN8pR/XgAAFac+el5ze2dk8qV24uzi5XbEsuMmqM9kgGTU0XtuH9apfKCJKk4U9KO+6clianuAICWpbFU5GZVTcs0swuq7vsVSX/l/fsBSe81s0Ezu1TSZZK+I+m7ki7zMnafo8o0zwecc07SAUnv9p7/YUlfT6G+AABk0pkDZ5aCFkvKXjmaoT2SAbv3HV8KWvhK5QXt3ne8RzUClj9mMQFtzrgws3Ml/bKk36gq/jdmdoUkJ+kp/z7n3DEzu0fS9ySdlfSbzrkF73U+JmmfpAFJn3POHfNe67clfcXM7pQ0Jemz7dQXAHppfnpeZw6c0eLsonIjOQ1tGWIUHTUWZxcTlaOC9kh2PD9TSlQOIBqzmICKtgIXzrmXVElaVV32wYjH/56k3wsof0jSQwHlP9Qrmb4BYNliCQBiMVW62UHlCEV7JDtGh/M6NVc/bahSDiC5qFlMaQQuJqeK2r3vuJ6fKenC0YK2bV1PQASZlNauIgCACCwBQCxBQYuociBjXMi1GlYOIFonZzH5szmKMyU5vTKbg6UoyCICFwDQBSwBQCxhMyuYcYFlYrbUONsiqhxAtAtHC4nKkyAnDZYTAhcA0AW5keCf27By9ClmXGCZ62QnC+hH27auVyE/UFNWyA9o29b1bb82OWmwnNBiBoAuGNoyJNUv8c575YCHABeWu052soB+NLFxTHfdOK6x0YJM0thoQXfdOJ5KHgoCjVhO2krOif7DrghAa/zvCd8fRBnaMlSTxFUSAS4sK35nimR/QHomNo515Du0bev6mh1LpEqgccvla7R5136+w8gUAheIjV0RgPYMjg/yXUEkAlxYCTrVyQKQrqBA45bL1+i+w0W2X0XmELhAbFG7ItCoBgBg5WPrRGBlqQ80bt61v6PbrwKtInCB2NgVAQA6i5ltyDJ/60RGYoGVi4SdyCqyfSE2ksYBQGdFzWwDeo2tE4GVj4SdyCp6nIiNXREAoLOY2YYsYyQWWPnYGQhZxVIRxEbSOKA97MqDZnIjucAgBTPbkAUXjhZUDAhSMBILrBwTG8d06OmTuvuRZ7XgnAbMdNOVJNxF7xG4QCLsigC0htwFiIPtUJFlYVsnMhILrByTU0Xdd7ioBeckSQvO6b7DRW26+HyCF+gpAhdIhBFjoDXsyoM4mNmGrLptcnppBNY3xq4iwIoTlcuG7zp6icAFYmPEGGgduQsQFzPbkDW3TU7rSwefaSjfcvkaOjLACkMuG2QVi2YRG9nugTZYwnIAyIi7H3k2UTmA5YtdRZBVzLiIcPqh0yo/WpacJJPyb8rrvOvO63W1eoYRY6ANLmE5AKRgcqqo3fuO6/mZki5scWlH9fKQOOUAli9y2bwijd9PpIfARYjTD51W+XDV9AInlQ+XdVqn+zZ4QbZ7oHV8fwB02+RUsaYDUpwpacf905KUqPE9YBYYpBgwpowBK43/29DvHfa0fj+RHlrMIcqP1q+JiC7vB0NbhqR8XSHZ7oFY+P4A6LaoJHtJ3HzV2kTlAJa3iY1jenj7NfrRruv18PZr+rKjntbvJ9JD4CIM07obDI4Pavj64aUR4txITsPXD5NEDoiB7w+Abksryd6mi89vaDDmvHIAWIlIUpo9LBUBgC5htwgA3XThaEHFgEZ20iR7u/cdV/1Ct0WvvB9HYgGkI8s5JNL6/UR6mHGB2PztUP11+v52qPPT8z2uGQAAqLdt63oV8gM1Za0k2WPkEUDa/BwSxZmSnF7JITE5Vax5zOZd+3Xp9r3avGt/zX2dltbvJ9LDjIswBUlBf4/7OMgWtR0qo8gAAGRLWkn2GHlsTZZHk4Fei8ohMbFxrOfJMUlSmj0ELkKYTC4goYWpfzNosx0qAADLy8TGsbYb2myPmFyvO11A1jWbydUssBElraBhGr+fSA+BixCuFJyFM6wcAABgJWLkMbl2Ol1AP2g2k6vVJWppBg2ZNZUtBC5C5EZygTMJ/B0BAN/ph05Xtsl1kkzKvymv8647r9fVAgAgljiN87CRRxr2wVZiXhA+65WpV59r0EwuUyXQsHnXfo0U8pop1a9Rb75ELa2gYZwASNrn7rbJad39yLNacE4DZrr5qrW6c2K85ddbadoOXJjZU5J+JmlB0lnn3CYzO1/SHkmXSHpK0q85506ZmUn6d5KukzQn6e875x71XufDkm7zXvZO59wXvPIrJX1elewSD0n6p865jk97GPj5AS0ebgxcDPz8QMCj0a9OP3Ra5cNVP6pOKh8u67ROE7wAgC5ZqW2Rbmh1dHJyqqidDxyr6VgUZ0q6dc8RHXr6ZN83tldaXpC414nfkSvOlDRgpgXnNJaxIAcBmFf0cklT9Uyu4kxJJi0t0i/OlJQfMOVzpvLiKz+1cZaopRU0bCcHh//8JNfYbZPT+tLBZ5ZuLzi3dLvff099aU0f2OKcu8I5t8m7vV3St51zl0n6tndbkt4u6TLvv49K+rQkeY2L2yVdJenNkm43s9Xecz4t6dernndtSnWOtPDEQqJy9Kfyo42R4Khy9Lf56XnNfmpWp373lGY/NcuOPEC6VlxbpBuiGufV/Oz+l2zfq9fu2Ktb9hwJHA11kr588JmuZv9PWxo7Gay0HQnCrpNb9hxZOkfVu0RIlY6XVOnQbfvq0UxcE3F2sliJwq7puN//TpnYOKaHt1+jsdFCQ2bB8oLTeUOrNDZakEkaGy3orhvHmwYAwoKDSYOGrebguHXPEW2792jNNXbLniPa+IlvRl5ndz/ybKLyftSppSLvkvQW799fkPQXkn7bK/+iN0px0MxGzewC77Hfcs6dlCQz+5aka83sLyS9yjl30Cv/oqQJSX/eoXovIRElYgkbb1sR43BIk7+dsL8zj7+dsCR25QE6Y9m3RbohrHFenClpcqqoiY1jum1yWl8++MzSn7bFJn/jnLRsczmkNQIdNy9IL0f/k7x31Gi1f46G8rmGjpyvvOi084FjPb8m+jH3SNQ1nZUlTWHvNzNX1tTvvC3Ra0UlE05yzbeag8OpEnSpd2quHPlbshAyiS+svF3LceZRGoELJ+mbZuYk/Sfn3GckvcY594J3/19Leo337zFJ1WGj57yyqPLnAsprmNlHVRk10bp169o9HknkuADaQd6PRmwnjLjmp+d15sAZLc4uKjeS09CWIa6R5nreFpE60x6R2mtgNntuWONckrbde1Q77n9MpXLyQZss5nKIcx7T7Ng225Ggl9P0k05zj7pOpMo5Cgta+IJm6HRbVjrq3RR1TYd9riOFvDbv2t+1Tm2aS6vCgoaSEn3fmu2m1Ow7ESTqt8RfWhVUnrbluutRGoGLX3LOFc3sb0r6lpk9Xn2nc855DYmO8Roon5GkTZs2pfJeQ1uGNPf1udqRc6uUA0vyauyM+uV9irwfwZjFhTjmp+c19+BcJVODvJk5DzIzJ4aet0W890m9PdJOAzPOc7dtXa9tXz1as47cV15wgSOHcXQjl0OSgE7c89jNjm2nR/+jzk/Ye+984Jjmzy42nKebrhzTfYeLTYMTWdet3CNZGs0O61wXZ0r6o/dc0dA5z+dMP5s/uxRoKs6UtO3eo5I616ltZcvlqHMcFDTcvGt/6DUf9DrNZk0F1TmOsM/j5qvW1uS48A2uMl26fW+q19FynXnUduDCOVf0/v+imX1NlXWhPzazC5xzL3jTL1/0Hl6UtLbq6Rd5ZUW9Mp3TL/8Lr/yigMd3XPnZcuN0f1cpp/EI3/D1w4EBruHrh3tWp16LzPtxXZcrkyHM4kIcpX2lpaDFkoVKOX97wq3UtogU3sC848HaafdBjfjYjdP0B/RUnCnpku17GzLjp9WhSxrQiXsuRofzOjXX+HdsdLh2RCKN4+hkkKTZ+QnrPAXNiiiVF3Tg8RO66cqxpR0PWrF6uHOjOnE/j1Y6yK3UJe3R7Haut6iR/KDO+czcy3rp5drvSnnBNfzmpCksSHDo6ZP6+D1HG3bZaOUchy5HKZVrgjQ77p/WoadP6sDjJ5bq8sn3XBG409Khp08GBhua2fiJb+r2d26oeU3/N9L/jplVfprnvBlvac6KWK4zj9oKXJjZuZJyzrmfef9+m6RPSHpA0ocl7fL+/3XvKQ9I+piZfUWV5FezXoNin6R/XZUE622SdjjnTprZT83sakmPSPqQpH/fTp3jovOFOPyOBNO6q5D3IxA7FSEOVwr+ooSVY2W3RaTwhuSpufJSDoqwRnzYSGD1a+7ed7zlWRVxVGfG33Tx+al16JKOGMZtqIf1yavL0+qYxhn9b7XD2izpYvUODnEUZ0q673Cx5aBFfsB0+zs3tPTcZpJ8HnFzj7Qj7dHsdrflTJo7oT5o4QsK6KWpfpZE1C4bBx4/kfgcx13aUSov1OT0CVpGVb1rTivC8l3cOTG+FMDYvGt/Q31b3dY17tKvrO961O6Mi9dI+lplZzGtkvRnzrn/ambflXSPmX1E0tOSfs17/EOqdPufUGULsn8gSV6j4Hclfdd73Cf85FiS/rFe2YLsz9WtZFh0vhDT4PhgfwcqEAs7FQEds3LbIopubN+y54h27zuul+bPBjbiwxrWObOloEe3Rti+/MgzLXU2wiQdMYzbUJ8NycNQXZ5Wx7TZ6H87AZKo87N73/HEzVmTWl4mMmCm3e9+Y8dG65N+Hs1yj7QrKuFtK3kj2tmWc2LjmMZCrv2x0ULgc1vRiaUxUbtsLIYEDKJ+z5Is7ah/9aBlVO0mzSyVF/Txe47q1j1HAs9Z1HUUd+lI2LURtPRrOex61Fbgwjn3Q0lvDCj/iaS3BpQ7Sb8Z8lqfk/S5gPJDkn6xnXoCQK+R4wKxkDcnsZXeFtm2db1u2XMk9P6ojsaCcyrkBxoa6gvOLXVsWkkw1wrnwuvaSvAk6Yhh3CUCcV43rWnWzUb/43TIwzqMUcfRyvlutYuWH3glaNGpvA9Zm/Yedu5Nr3wH6oMLUeem1W05/esk6toPem6Y0ULwH6J2Z4SEiZopEhaMiZoxEPR9m3v5bOyZJJ1ILlu9ZXD9OYv6bXYhz6kXdm0cePyE7rpxPDN5WOLq1HaoQN9gBwDEQY4LxLJKwYEL/lr3rYmNYy3v7DFayGvnDRuW1ohX8zs2Wy5f09Ia7TSNhHSIoiTNVRB3iUCc1017B4Ska/L98qgOY7POajeCVZK04OVGuGXPkZrlKXFnj8Tp8HZq2nurgZagcx+0NKd66U5Ux79Z3pVm10nUtX9rRFC0Wj5n2nnDhkS5dPykl8WZUkuffVRujlZzldR/3+q/Q71UH5SMM0OkfuZN/WcTdW3EmXmUpSSzEk0hoC3z0/Oa2zu31NFYnF2s3BY7AKAWOS4QS1hfItv5stBBk1NFnQ3Y8SMOM0V2Tp6fKenA4yfaqF06Xnr57NLSlbhayVUQp6Ee53W7keBRat4hjxppf3j7NYHHIUlzL59NtZ5RFvVKboSgjvvH7wnfrSLuUplOfB5h712ftDHomgu6hqJmGzWbMdEs70qcwE3YtT9SyAfOJCjkczr/3MFY24mGdayrk16GBW2ivo9hu2zcfNXa1HKV+I+PmtXWTdWfY/0xhv0VeH6mFHq9hgW94gT1bpucDs310avgBYGLMEzXRQxnDpxpvE7KlfJ+DVxYwQITCVqhA2nrlxFyXCAOZuagXjvJM/0Ga1jHJmfWtZH3KOUFFzlqGNZI7lSugmav240Ej1LzDnmckfasji77qpct1Z+/uLkrOvF5hL13UEcuLJhR/f5BiRal6KU7fnmzvCtxAjdh3ysLaZoN5QeWgl/Vx5Akl04zfs6PsM+qfpeN+h2K0vr+T2wc6+ospCgDdR9I9TFGXUNh1+vgqlzDcsE4Qb36xKjVr9nLLVMJXIQJ+03Pzm89MoC8BY3YFSEY1wriGNoyVDOLS5KUr5SjP7WzTt9vBIdNOW43uVyaokYNpd6N8IXpdIJH/z2k8A550iUSSfIZdFNYZyhJ7oq0P4+w9w6aORBnVLqVpTv+59jsc252nUR9r2ZC8jsElYedkwXnlM+Zyi3MDGv2Ha/eZaOTgj6ffK6yH2nauy4V8rnQpX9Rv8lR11DYrLrZUlmffM8ViYJ6k1NFfTli+WAvt0wlcBEmrC9BHwPVwvYT6+/JBQjCtYIY2GIZ9Zolz4za1tJvBNd3bHJtbOPXKVGjhr0c4eu1qA550iUSvexwNBNUt15u2ZgkaW2cZRDNggtRn2OczznqOon6XiU5x2GPHS3k9VIby49K5YWlHZJ6lUMhaeLOQn5AQ/lcS1vEvmndqJ76SSl0p5ckdfTPV1TwK2lQr9muQ73cMpXABdAOts1FXFwriIktllEtKtHfWFVyvGaN4OrG66Xb93a62jJT6Nr8es1GDbPc4e6lpEsk4nTGW532HyY/YLFGrIM6Q93KJRIkboLNMMWZkl6346GGJQ5h27NK4Z9ju0thomaufPI9V8Q+x2Gfh4XMSqg/X83OX3GmpFv3HNEte44s/bZ1M4hR38GP+p2868bx2IlN6/2/T57U+69eF2s70qAlPvVLeKTWvithy4eifm/Ne69eIXABAF1A7gLExU5FqBa305Kk0dqNLVCdk1aHJIarNhZz1BDBkoymNtuloJAf0E1XjmnPd54NnPY/NlrQlsvX6BtHX4i1NWR1YM2/drdcviZWh80/NqnzuUSCBL13UN3jzHhacG4pX0DYsoc4eVVaPe6oWRVJznHYY8M68H5wtX4Hkqjfnk4ngkySQyfsvI15563VvBhOirUdaZKlc0m/K1GvHfX34f1Xr2NXkUwaUHA+CzYAQLWCgrP908ZCHXYVQRzz0/Oa+/rcUuttcXaxclvsVNTP2kkWGdRQ78YWqANmuv2dGyI7yjlTTeO60yPs3d7aL2tbCfrvvfOBYw2BB5N005Vj2nTx+fqzR2qvjZxJf/hrVyw9/8DjJ2IFLk69NK9b9xzRhaMFffI9rzx/08Xn9zwBaxxB711f96BgRpi7H3m2Y/kaoq61sO/7lsvXpPLeUR38oNkBcRPEtrNMLOh81L93s+SqzX6P4mxXGsY/X/Xnp7reQUv6os5Jku9K1PKhsNlG7796XVfyjUQhcBGG5JyIYXjrsOYemKvNfZKrlAPVyt8LbuSVv1eWrutyZZBZc3vnGofvXKWcwEX/itMBDmq0ho2qDeU7P9Nrwbml+tx6z5HAZSOLTjUjiJ0cYZ+cKmrbV48uzSQozpS07avhW3Gm8X5ZTDTqjxTXBx78UeBvHH1B9ZMtFl0l2OHXO+7SnTkvAWH9sfcyGCG1F1CKE8wIG62OWoLTTp2aXWthWx4fePxEout0cqqobfceXVoWUpwpadu9R/Wev722pVk0cWYrtDKjIep3L+lOMdW7pgyYLXXuq4/l1j1HWlr1W3+e6+sddr2ksXQuavlQL2c6NUPgArEx1b0RifQQW9jfGZZuo1rYIGby/F9YIdrpAIeNqnVjZ4lhLzgysXFMt0SsBa8fQexUp3bnA8calj+UF11Nh9yXxkyJLCcaDeu0RHUS/UDH5FSxpeSuWTn2TgSU6q9ZP7dFPVNlS8ugWVHt1KnZtRbVSU1ynd7x4LGGXBblBae9j70QuOxBIcfr/xdne16z4Ndo5XyEvU9QctXqGSrVS36kyudzy54j+q17jjQE+ZIolRf08XuOLs1Kmnv5bKzf5jSWzsXZqabX39UgBC4Q29CWIc09OFc762SAbfpIpAcA6JS4HYvbJqd19yPP1iQD7GVSy7nyoi7Zvldjo4WmiTpbrWeSAEPY0ob68rQ6tkm28uy2VnOc+Oem1eSdnc6rEkc3Ako3X7U2cGlGLmdL56D6umq3Ts2utahOapLrNCxfzam5ckNHN873KM7sC+cUeM6izku3vmPtBC181cGQONJaOhd3WV7Wlrv171B5M2FbFPb71oUBU5gBAEBnxOlY3DY5rS8dfKYhGWA3loQ0U5wpNd1dZKSQT/y6fseoOFOS0yudmsmpYmsV9UR1IpMIGxWtL5+cKmrzrv26dPtebd61v6H+ze5PanKqqJfmk29duXo4rzsePNb2bJ1269+uJB31Vs/9nRPj+sDV6zRglU7DgJnOPWdAC4vB+QraDXI1u9a2bV2vQr42n5bfSY17nSYV93s0sXFMD2+/ZulcNVP9GmGfT1jdRwv5hvOwHLp1A2YyVXKG3HRlZalXu78HExvHdNeN45XAsvfad934yq43k1NF/W//6s91y54jqf/GtoMZF2HYurDBmQNnanM5SNJipZwZBwAApC9stDRnpku3762Mms4Gd3Dmzy6qkB9o2tlMss1jJ7z08llNThUTjeR1auQ8rZkScUY0m41Kxxm1jhoRrb8vSSLJavkB0+sv+Bt6+MmTiZ4XJCoZYjc0myLvS5r7of4zuHNivCaRYdjWmlF5MeIGD5pda81yFsRNiFvI51QqNy4ZLwQESJN+j5LM4nl+phT5+YSdj503bJDUfKeYLCnkB5YCCnF+L+ImaI7KNVOfD6har5d8EbgIk1fwmuLkgwIrRlB+i6hyAEAy5BJCvW1b1wc2IuNMMV500l03jkfmmJB6PyZTXnCJG8NJO0ZhW7OuHq5t2CXp2EZNoY6T4K5Z8KXZ/VEdGalxB4XqJIRJlBdcKkELqTF/QLeTlsadIh927nc+cCyy4xt2PFHXVbu76cS51sI6qUkSMQ7lBwIDF0P5xt3Rwo7XSbrijm/KTJqZKy+931iC5UsXjhYivxv+Th1hxxSUXPXj9xxteQlUKwZC8sSMFvI6d3BVYL2bzWIJ2zElzvVZbfe+44FBC18vl7sRuAgTNosu+ey6FYMGNQB01tCWocCdivo9l1C/a3V4YMBMExvHdOjpkx3f/rRdfmM47prqpKPUt79zQ82OCFJlJsHt79xQ87g0Zkr4miW4axZ8aXZ/s45M/X29DlCFiRrFjXs9xH1c3I562LmfKZWX8qIUZ0qB36ug44m6rrqxi0PU+YmbiHEmJMdFUHnUVqHVeWX8785NV441zHzI50wy1Xxn/XN2a0gw1v/ckiSXDJt54s9ECwsytMok/cGvvTF0VkhYvVtJsurnPaovjwoUNwtMpJEctFUELsKwVKTB0JahylZ91b9PeRrUpx86rfKj5cq1YVL+TXmdd915va4WMsYKJlcKyDJeWA4rLNFV9ZcEl0hf273veMPa+LhuvmqtJC1NWQ9qxGbFhaOFRNPzk45Sx+0cpjFTIskxRwVfmt3fqQSgaXfU4gjLMRHnekiaUDVOp7bVBKa+4kypYTeMoJ030thNJ2ybUv9100o4myRYmGTb01J5QQcePxG6M0nQOQt73VY71VHf+7BlPq1y3vvcdOVYoiVTrSRZbWVL1ahr36RUkoO2isAFYmPrz0anHzqt8uGqSI6TyofLOq3TBC9QIyhoEVWO/nTmwJnanZskaYFcQv0sbid0OJ/T/FlXs6tI9Rr76jX3l27fm6lxGL8xnCQg4M8kqd5J5aYrozt/cTuH7c6UiKtZ8KXZ/c06kkk73vkB0+53vzF0NLuTgjqcca+HTuQ7iZoxEIepcTeMu24cX1rGkKawbUrvePBYrCVHcbUSLPQ7/s1+b56fKTVdztJOXeIIe/+w79nYaEEPb79GGz/xzcBlaKOFvObPLgZeQ8WZku47XKxJiNlM1DGHBXLCgpBRAZ6w5YmS9P6r17GrCJaPwfFBjfyTEa3+V6s18k9G+r4hXX40eNpcWDkARCGXEOrFGUE0Sf/6xjfoybuu01O7rteTd11XE7Ro5TW7xfRKYzjpjg/3HS7W7KRy3+FiKhnvm+0mkdZODM0y+ze7P2q3iKD78jnTQC54Ctfq4bx2v/uNmtg4lur1kc9ZQx6RemEdzrjXQydmngSd+yTqu3x+fow0d4jxRW1TKqV3fppdj2HiXE+tfHduunKsZueW6sBlmrvxRH3PJOn6N1wQ+Lx3vPGCpfMVJOluRVHnP6yON1+1NrLuYe+z+1ffqNGq3Z5WD+f1R++5IvLvSjcw4wJoB0uKAAAdtG3r+obcDNWqO/5Bgta2JxlNHlyV0/zZ1gJnm193fmRSx7G66dFJpqJ3aleRONPq0xztbTa7I+r+uMta/PvmXj4b2Mn1R459za4PMzXd4takmvrUn1ff6uG8bn9n8Lr+uNdD0nwnSfJhVJeHjazHVZ8fo1tJSdvdtaRaK0taml1PrXx3wgKXmy4+X1Jwokq//kk1+54dePxE4PMOPH5iqT5hWgkeJc3dsuni8xPnT2ln6VInEbgAAADIKL/xeMeDx5Y6TX7SuPqOf72wTvhdN44vrSdvtpyg1aCFJD31k5I+cPW6ht0sqrf4q5YkINCp/A5xAiJx82XE7SC3o1lgo/q+qC05658nvZKfwJ9u7l9vzZaS1AdC6l8z7vmIez0kuW7ayfcQlOC1HWltLTlayNckvKwulzqzrCKJ+s9+pJBv2FUk6TlImpg2aQLY6vr6ZWHLfMJ+Q/1rKypAnObspqigRhaDEK0gcAEgVcMTw5qbnAssB+rNT8+TNwdoIk7DM6jx3WzLwKiR8DQ8P1PSnRPjsUf8knRu0xxFrq9znPJmn0laCRHT1Mo5M0l/a2SoYfeLsM5anJwHcaWZUNXXzkydoPd5af5sYNDADy42k8bWkjtv2NCQkyCfM+28YUNovTsRRIsS9tn7v1u37jmSqF6tBC7jJoDddu/RSs66xVeSnd6y54juePBY4OygqGS2Ub+r3QwerRQELsIMqDFBml8OIBRJXBHX/PR8zU5Fi7OLldsS1wuQQFgnOazRXN2Ar+/UJB1LLuQHZHKaKzfOzPA7xEk6rHEf26lR5LQCIp1aytKOuOesWdAlbOp/1LKPVqWVUNXX7kyd+vcJCvwV8gMNO0aELdNJY8Q9TmAii6Pu7QT3WklMG3fJWdiMmlNz5cD6tbIDTye+K/2AwEWYsABZ+gMSWM7CQup9vn3h4PggHU80debAmdrtlSWpzA4aQFJhneS4GeWrOzWbd+1PtBtFqbyg0UJe5UVX0+Av5Ae05fI1DVtCptVQ79QocloBkU4tZWlH3HPWbBq+f3/9EpLl0AlLe6bOxMbg3W3qkxiGBTj866rdZUVZDEw0005wr9n3tN0lZ2GC6tfK9sHD56xaFp9XN5a7JUHgAmgHyTmBlrGDBpCOsMb3gnMq5AcCG/BhDdJWtoGcKZWXdo/w161vuXyN7jtc7OhSiU501tIKiHRqKUu74pyzsOupfiaPf331ujOTRNozdSanitrz3WdrkkTu+e6z2nTx+Q0zHsK2783isqJuaCe4lzQxbdIlZ1HqH9/KjIteBjDjyuJ1SeACaAczLoCW5UZygUGK3Ag7dQNJhDW+/ZHwoMRzzRqkOx84Frh2P0x50Wn4nFWa+p23SarM3AgaTf34PUdr3ieL0giI9DohYjvCrqcBs8wtf0kq7Zk6dzx4rGFpQXnB6Y4HjzUsKQnbBSONZUVZGxmPo93gXpLEtL7681QfYI3D34LVF5YcNUonAphJr4Fmj8/icreWAxdmtlbSFyW9RpWu22ecc//OzHZK+nVJ/t4w/8I595D3nB2SPqLKgot/4pzb55VfK+nfqZJB4k+dc7u88kslfUXSqyUdlvRB59zLrdYZSB0zLoCWDW0ZqslxIUnKV8qBuPqtPRJ3e9PqkfD6RmZYUOGWPUe0e99xbdu6XucOrkrcGK8eRYyaBXLrniM69PTJhun0WZFGJzALCRFbFXY9xcmZshy0E5iqvzbCtketL4/qBLa7rCiLI+NxdDu4F3Se7jtc1E1XjukbR1+I/XtXP8PCEg5WduIYk14DcR4ftVtKr7Qz4+KspI875x41s78h6bCZfcu775POuX9b/WAze72k90raIOlCSf/NzH7Bu/uPJf2ypOckfdfMHnDOfU/S73uv9RUz+4+qNDI+3UadgVQxYgy0jkSuSEnftEfibG8ap5Mc1SGKs4VfmOpRxKgp2E7Slw4+oy8dfCZzSeridgBum5yumfZ/81VrGwIxre4G061zUX0MJmn4nAHNvbygC0cLDcklt1y+pmFbW1+vl790S9C1EaU6v0vYY6Puj3teszgyHke3g3th5+nA4ycSBWrH6j6XsOBV2HM7cYxJr4E4j8+ZtBjwha+fcdJNLQcunHMvSHrB+/fPzOz7kqI+hXdJ+opzbl7Sj8zsCUlv9u57wjn3Q0kys69Iepf3etdIep/3mC9I2ikCF8gQRoyB9pDIFe3qp/ZInO1N42i2rjsqsWeY6mScxZlS7FHIU3PlyvaDysbocJwG/W2T0/rSwWeW7l9wbul2klkknR4pjwqK1B+Dk/TSy7Uj0XfdOF6TtDVsZexyWP7SivrzN/fy2UQBPf87Vpwpha4s9j+XdmYedDMRbNg1tRyWqqRxnuo/l8mpYqzn5QdMu9/9xo6dk6TH1qx8cqoYGLSQWsvpkZZUclyY2SWSNkp6RNJmSR8zsw9JOqTKKMgpVRoRB6ue9pxeaVg8W1d+lSrTMWecc2cDHl///h+V9FFJWrduXQpHBMQzOD6o8rNllR8tV/4imZR/Q56OGAD0wEpuj0xOFSNHbaOeF2dpSb0kjdPVw3mdKS/UdoQTtG3LCy4zo8NxGvp3P/Js4GPufuTZRIGLuEGSZjM7gjQLioQdQ3U9Pn7PUd2650jT2TO79x1felwWO6ytmJwqattXj6rs9d7anR7vNRFrghf1iU1b7fh3KxFs2DV16OmTLSXi7fYSl7DzNDqc109LZ0N/88J2z/GvkTj83zhJNc9PK9gTdQ0E/YY0u2buePBY6HvVzzjpprbns5vZeZLuk3SLc+6nqoxAvE7SFaqMgPxBu+/RjHPuM865Tc65TWvWrOn02wFL5qfnVX6s/MpfIieVHytrfnq+p/UCgH6zktsjk1PFpVkJQcI6KH7HoDhTklNtx+CuG8fbboD6sypm5soqldvbDah6pG/zrv26dPtebd61P3JEM8lj4wo7l9XlYR2cpCORzYIk/qyI6oSOXzr4jG6bnG762s22NI1T1wXnlq6bsAk05t1ffX2l8Tn02s4Hji0FLZoxq3TmTNGdOqfax1XPaGnHtq3rVcgP1JR1Io9C2DV19yPPRl5rSV/vlj1HUvs+Vws6T/kB0+kz4UELKXz3nN37jse+RqTa70fYb3Orx7zl8uC/N8Pn5AJ/Qy55dUG5ui91zrS041TU8pdezrBqa8aFmeVVaSR82Tl3vyQ5535cdf+fSPqGd7MoaW3V0y/yyhRS/hNJo2a2yhvlqH48kAlnDpypXSYiSeVKObMuAKA7Vnp7JGjnAl9UByXO0pLX7tgbOiW4Gb+tn8bE4QtHC4lGYFsZrY0zwhln2n7YMpqka7+bjXrGmdkRdkxpLx+Im4s8al19VpYTxKlHksS0zkkPb79m6ba/XKre2Gih5nHV9Wl2LUfVuVu5IqIS7iZ5vH8sUbNYOrV9cv2WtPmcaS5G0LV+BtK2retb+i5VB3TSzEty4PETgeU/ePGlwPKHnzzZULbopENPnwx9LUkq5HM9nVHVzq4iJumzkr7vnPvDqvILvPWmkvQrkv7K+/cDkv7MzP5QlWRYl0n6jirB2su8jN1FVRJmvc8558zsgKR3q5LJ+8OSvt5qfYFOCErMGVUOoNb89DzJOdGWfmiPRI1++aO2QR2bOJ3XVoMWadty+ZpECeaSJqOLG+iI0wm8+aq1Nctiqsvr3zPqdbZcvibwdfzR02YzO6KOqVvLB4IUZ0oN09Ovfu1qPfrMbEvLCdLskHdieUL9LIukOSuaXctx6pzGFr7NRG2TG3StBl1r9ccSpVlHPuraCLpPUsOWtHPl+D+A/vP88z86nE+UmNMXFfBoNbCYVj4T/zsbZqhuxkq3tTPjYrOkD0qaNrMjXtm/kHSzmV2hShD2KUm/IUnOuWNmdo+k76mSAfw3nXMLkmRmH5O0T5Xtxz7nnPMX1vy2pK+Y2Z2SplRpmAAAVoD56fma5LaLs4uV2xLBCySxotsjzaYO7953PHSN+UghHzhynMVdIPwdLIIElSedUZAk0NGsE3jnxLh+dOJ0zajl5tedX5N7IihHgr8e3n/tbxx9QUG+cfQF3TkxHprV35/iHXVMl7w6uJN5yas7/9mb1JC8NGiE1x/FllrfsjGpuNfB6pid0qCARNIZEM2u5azsGhIWkLnpyrGa3x+/3E/W+/xMSSOFvMyS7cAhRc/aCLs2JAXeN5TPtbRbUpBSeUGDq3LK5yzRchGpklNj+JxVLQUWw3LeNEu4HJe/w1DYEbUSqElTO7uK/A8pcMnbQxHP+T1JvxdQ/lDQ87zM3m+uLwcALH8stUIaVnp7JCpJmlRplAdtU1kqL2gon1MhP9DybgXdVJwpaSzBLIGkMwrSXDoxOVXUo8/M1pQ9+sysJqeKSx3JoBwJ5UWnnQ8cW3pM2HIEv3xwVS4wd8jgqkqKurCOSnGmpL+ePRN438EfnpLUmCgyTUled8G50F1lOtFhj3sd3P7ODdp279GaJVr5AdN7/vbamm1iwwISQcGvsBkCza7lbu4a0qyuUnBAZtPF59eUb7l8TU0wI8nSm2ph3+dmOVyC7ksraOFr9ZicCw8CVQd7mu0EVL2bUdjsrcv+5rmBy0XCvv/NdpPq5VaoUkq7igAAkBRLrYDm4oxwRY2O/dF7rshEXoFmBswqO54EdBaDAi1Jp+OnuXQiToe6WVAijjMha+/9crPg3VvMopeZbPzENzsWtGhFecHpjgePNVyXSTrscZeUxL0O0s4bETVDoNmSobCZUyOFfEt1aaeuYbOR6ss379qfKFAwWshr/uxi7O9zL4I5aZkplQOvr/pgT3GmpFv3HNEte45Evt7djzyrvzUyFHjfiZ+9rJyk6l+SnKS/87rzA2dBhS2D8/VyK1SJwAUAAMCKNGDWdNlDIR88qt9tC2GZPkPayUGJ9m66MvxYkwY6oqTVaQpbjrB6uNIhbdbJDutDOBc9ctrr6d5BguoUlkNgdLi2w55kSUmS6yDNvBHNZggE8ZMkhg1yd2rwO42ZLkm/C+944wUNszaiAkXNvhuB254W8npp/mzipR2dcMUd39TOGzY0JHWtP+9xarrgXOj5Dgp4LUp66iclfeDqdYHLTvY+9kLob0Qvt0KVCFwAAACsSFGjY/4IdRaCFlKlQRy0vWB50QV2mCanig2J9u47XNSmi88PHRGW0hlBjzNq3ywoIYUvR7j9nRsktRdsaTZyuhxEBWaqJc1f4j+nm7OQWgl2+ffNhHQiw8rb1Upd62e8JE1c+aWDz+jA4ycaPouwmTTNvhvV+WUkKZ8zveONF2jPd2t36smZNJCz0F2bOmWmVNZv7TmiOx48ppm5cls5KgbM9LdGhhI9//mZku6cGK/Jy+O7/Z0b9PGvHtVC3W9xPhc8+62bCFwAAHojbJFlb5dQAitG9ehYdVI3k5TLWUPDtFdMlU76rSFTooM6TK2MCqc1gh4noNAsKOHXxz+WVra5HA1ZQjBayC91SKpHVHs9zTvKaMCyh9mQZTX15VG5PoJ0YweOeq3MEPDv6/YOMUnfL2jGS66F962fKdNsJk3YjKvJqWJjO8KkvY+90BCgWHTSq85ZpXMHK8kyu/k9WdQrM43aSax581Vrteni8wN/k4byucAAUtS143837njw2NJzRwt57bxhQ8+XGRK4AAD0RP5NeZUPN/5Bzb+pM+t2gX7jr5GvT+rmpEwFLd5/9TpNbBzT7n3HY3eYernGPc6ofdyR/Wad6Kj7d96wIXBkeecNleBI/Yjq5l37U9l5IG05aanO1eJ2oMM6m71OJFitWbArcvZAisuc0qhrvaAgYqvzuKqDj82W14TNuNq973hDgKK84EJngMyWytp5w4bY27RmyUDOamaZBW0B28q104vgXhwELgAAPXHedefptE6r/Gi50pOyStDivOvO63XVgBVh72OVbTXvfuTZ5g/ukU++54qlBnKSDlO3R6HrxWnYd7rxn3TZQ1gSyF4bGAgOMDRLWumLSkSaFXE+q1Zn3vSirtXSDhb6rxcVnIwKaiStz4XeMrWwoMXq4bxOn8lGbox6C1VL6aJ+b5ZDguY4CFwAAHrmvOvOk67rdS2A7ArLlRCH/7wsdeCqjRbyDbMU4ibc7PYodFYlCY74yR6zprwQnMckrL715WHb6LabSDDuTiVxRX1W7cy86bWk+RlGC3mZhSeJjbNEJiqoEfa8qJ1LwpapmaSp33mbJqeKTXf36BX/WMOu1yxfO0m1sgQJAAAAXXD7OzdoINfelPcsTZmvVr88ICzh5uRUseG5ExvHdNeN4xobLchU6aTedeP4immgd0KWt4oMqlvc5UD1MzCalU9OFbV5135dun2vNu/aH3h9+fkVijMlOb2SXyHosctB1DHX33fb5HSiYw87z0E+cPU6Hbn9bZr6nbfpj95zhQr5gZr765fIhN0fNrPK77AHPW/nDRtCfzOiXk+q/N584Op1sY+zmwbMIq/XONf7ckHgAgDQM/PT85r91KxO/e4pzX5qVvPT872uEpApExvH9Ae/+saa3SiqFfIDGs4HN+f8hIc3X7U28P5zzxkILO+G1cP5hiBD0i0jJzaO6eHt1+hHu67Xw9uvIWjRRLeW0bQiqG7NOpO+uDMzpPgBiVa2L82qZp3a+vu+fPCZRMeeZCZP9WMnNo7ppivHlgKrZpLJ6dY9R7R5135JCg00RAU1WglqRr2e786JcX3g6nUNgeDRQr7t4HKYnFV+K6NefcG50Ot15wPHVlQAjqUiAICemJ+e19zeOcmbLbo4u1i5LWlwfLCHNQOypXqq7+RUUTsfOLa0m8RQPqfr33CB9nzn2cAkjZNTxYaOxYCZbr5qre6cGNcl2/d2pM6bX3e+vvfCz0Kng1fvruFLujtEUnGn/qe9RCArgpbXhAnb9KkTwpb4xF0OlCRRa9zdaHqZ/DVtzYIw9feFfe5hx57k+1mcKemKO765tFSk+jpzTprztmf2O9h33Tiuh7df0/A6reT9aLZLSZzXC9tCtPo3Y6TJUpgwhfyAbrpyTAcePxFYh7DkumMRS2eCdh2q/uyX2+8cgYsQuUtyWnyqMSdu7hImqQBoQV5LHfSG8j515sCZxnNSrpQTuADCzZ99pX1yaq6s+w4X9Z43r21o8ErBGeXvurHS8PZHNdM2uCqnp35Simy4BzWQk+4OkSTAEKfTkvRxzd47rcekpb5z5newZubKGh3Oy7nKDgvV10/QriW7f/WNkqQd9z+mUrm1/SP8zzoqj0nczmSSRK1xAxK9Tv6aprSCMGHHnnQL0erOdNSzmm1vHCbsOzyUz0UGrVrJBVEfSF49nNft76xsGxoVFB4bLWjL5WtCgxRBogJ5YTsyhfHPSdjvXFaDtwQuQox8cESz/2W2JniRuySnkQ+O9LBWAJatVQoOXPTxr/DibHCDN6wcQPjo6d7HXtDwOatiPfaOB4/pTHkx1sh7K+bPLjZtRF+6fW9DgzjJ7hBxAwy+uCPtcR4X573Tekza/M5Z/XufmiurkB+o2eVl8679DTsplL1dDPylObdNTuvLB59JPDsjaBvLVo857u4jUvyAxLat67Xt3qM122rmB0xbLl+jzbv2t9Shi+oMtttRjHp+s2MOuq9+xk1U4ttOJv8tzpQCz3fUdyfsOxz2e9fqLJrJqWJDYO/UXFnb7j0qKTppbNAskmaaBfKCghpD+VxgAHnALHIWTrd/l+Lq4yZzcwQpAKQm7O/i8pt1mp6Cgo9/+Q1oAR01OVXUHQ8ei5zBcGquvHR//Wha0GN7zV9vfeueIzr09EndOTGeaHeIuIEIX9xR5ziPi/PeaT2mmVY7vM2WD0SN4FafC3/q/ORUUR+/52hLndiwY44b2EmS4yJJkKM+GrOw4LTnu88uBTP8+hx6+mTgbKfqz2XL5Wt03+Fi4LFIzTuKzYIeUc+PGqk/9PTJwPPxd193vp76SSkwYFBfj7Dv7XA+p/mzrq3AhumVwEqc4EQr26GOFPINwRH/PYozpaUZJWN15333vuOBW6T6u+R0YuejsFkhYUENKTigERXECTu3H7/naM179QKBCwDogtxILnAmQW6kj5efhQ32dmYQGFiWJqeKDSO/cZTKC4mncPeCk/Tlg89o08XnJ2roJ53+HnekPc7j4rx3Wo9pp8Ma9dyofAXN8mA4SZds36vVw3ld/4YLljrtI4W8Xnr5bOJrNaw+nchHETfIEdQpXZS0WHdspfJCzYyT4kxJ2756VDLVBDiCZqVE5ZmoPs5mn3Oz8xQ1Uh+WcPOpn5QaZgWE1eOmK8dqgjJSZUlRebH9oEXYOUtrO9R8zvTSy2eXlnoEfX7+Mfj3NQsi+4/1P5ewwEfaopa61H/2YYHJqK1mF5zr+cwLAhcA0AVDW4ZqElFKkvKV8r71csJyoA/t3ne8pY6gVGloRo2uZYWTlpYfSPESxiXNQRA3KBLncXHeO43HtNNhlYJH8f3ZAc1yC8Rxaq5cM1o/UypHblcYlfCzW/ko2p15E6T+mIJG4ZMmvKy+r1lgIs4xhXVq00hseuDxE7rrxvGa7+3cy2dbSE6Z0/zZRS266LwZUcEJ/zcj6Dvsb7/crJ5Bn1/1fXGPy6+f/zvcqzwRYZ99K/kyWs07kpY+HuoDgO4ZHB/U8PXDSzMsciM5DV8/TBJKAJHa2VFjtJDXXTeOhya3zBK/oxR3i9M42xdWi7tFYpzHxXnvNB7TLDAR1ekMe+6XDz6T2i4tQaIyFIV1B8M+t7jboSa5FuK+ZreScF44Wmhap2bBhTjHNDlV1OZd+3Xp9r3avGv/0naYcc9Hs3rUf29nEgQt8jnTB65eJ8nkxwwWnAvdAtQPTrSyHWo79WxH1rbSjTpH27auj9x+tZc76zDjAgC6ZHB8kEAFopH3AykyqzRQb91zpNdVaSppR7GV7RDj7hrQ7HFx3juNx8TpsCad7p3FhUNBASQp/iyZJNdCOzNv8jmrWUIgJds2NirhZVSdms0oaXZMUTN3kizPGinkA7fXHCk0bo8WVmeffy785RNBgTan8HPWyvc/SLN6pilrW+lG5cu4JeJvRi931iFwAQBARgxvHdbcA3O1w5a5SjmQlD+aGNbhyIpWE9a1sn1hWuK8d7uPaafDmnR7xF4ZGy2EHn+SzmmSoFSc1wx73KGnT+ruR55d2sr1tWuG9YMXX4p1rGEJL31hdWoWXJjYONZQr+otZqNm7iRZnhU2cSuoPKjO9cGK6vcIC676jw+qW9hnnmS3nqB6dspy2ko3LOGqSW0lF20XgQsAADLCn5Fz5sAZLc4uKjeS09CWIWbqIJSZVFiV01y5cZK+31DuxUqR1cN53f7ODU0T2Y0W8tp5w4auBCDa3XKy29rtsIZ1HLOi3R0WOq2+Yzw5VdR9h4s1W7k+ETNoIQUnvAx7r/r7pPDgQlC9qreYbTZzJ27QJ2xZRVB50hkRYUG6VrYOTbJbj3+71R1x4up1hz+psMDT+69ex64iAACggiVFqHbuOQN66eWIHR6cNB+SvHPL5Ws0OVXsyfanp+bKkdONfbOlsg49fbLjjeEko7BxAhzdeEy7Hdb659ZvyZnEZX/zXD154iVF5C1MrHrdf7sj53G1cx3MvXw2cDlDXO0sFWi2Y0RURz1pItswUa8Tdh03+5z85xVnSoHLQrZcvqZhq9JmW8RGBWqCniNJryqs6ujv5N993fld+Y1LEpht9vihfK7muhodzmvTxed39BiaIXABAACQUb/3K+NNAwALIb3JvY+9oPsOF0Ofl4XtUqu3Q222hWe9JI+NOwobp2PbzcdESTKyLGmp0+HP0Egi7nKIpKKOOcnxxb0W2rkO2jVSyId2wtvRbEZFkjwWUcJeZ8vla1q6juvPcXVOi7GAQFv160rBu+ZI4QGWkUK+4Tn1W592ysNPntTrdjykm69aqzsnxkMf1+w6Drs/6rdEagx+SuHnr/4+36m5cs+3QzWX8f29k9q0aZM7dOhQr6uBPnH6odMqH26M0OavzOu8687rQY2A5ePU754KvW/1v1rdxZr0DzM77Jzb1Ot69IM02yOXbN+byutUK+QHdNeNzYMi3eKvew/qGAUlb6xvqEc9VpIu3b43cHTcJP1o1/VLtzfv2t90ynq3HtPsGKOO6ZPvuSJWcsmsCFoSEPczS3IttHsdBKmfKRB0noPKquvYzjKmONdaWsukgl4nLJ/KaCGvcwdX6fmZkkYKeZlVlpU0e55f76jjkoKDSVG/I0P5XE9mnwXxAzMHHj8ROSMqnzOdN7RKM3NljRTyeunls4HXUNRnMH92Mfa5iDq31Y9JunynXqttEWZcAG0477rzdFqnVX60vBQqzr+JoAUAID1hidLa4XeYfuueI6lO/29V1BaeQSPsSWcbxJ0u32z0upuPaWcJQNBzy1n4oEMEnYu4n1mSa6Hd66BeIT+gm64cq+mAVm9nW73MpL6jWL1Upp2ZN3FmVKSVyDbodcISa86UyktJgauTAxdnSrp1z5HQZTb+uY/zHQq6L2yJVZZ2VyrOlPSlg8/U3P7ywWcazkl50S1dN0EJlv1rKOychD0nbLlYnOue7VCBZey8686Trut1LQAAK1Xame+rd3J431XrahrQvRK1hWdQedJOTdzp8nE6tt16TDtLALLUSYsjKN9C3M8sybXQ7nVQPYug2cyF6vJLQ2ZNJQ3YRb1PrxLPtrKlaFQIzb8Wmn0/ou4LCrBkfaedVsOK/meexrFFndv6x/RCrmfvHJOZXWtmx83sCTPb3uv6AACA/tPL9sjExjHddeO4Vg/nG+ulSgLPIKuH8yrka++r76TdOTGuD1y9TgPe1iM5k/Jdbh36dQprEAeVJ3ms9Mo5HBstyFQJ3gQtJdi2dX3Tc9atxzQ7xqhjyuLWi2Gb24TlW4j7mSW5Ftq9DnbesEEPb79GP9p1vR7efk3s4EBUHVuZWVBvYuNYS/VKQ9C5alX1tRD1/Yjz/YpTz3zOlB+I3nZpoBfbMiXgB6qCzkfQ3wypEoCLOrdhR9zr3VEyPePCzAYk/bGkX5b0nKTvmtkDzrnv9bZmAACgX2ShPeKPIIZlxQ8aRb79nRskNR+JvXNiPDRh3ORUMXJad6uqk/BV1yluEsFWEg7GmS4fZ/S6W49pZwlA0HN7meOieklFcaa0lBi2/vOvF+czS3otpHUdJBFVx7CZAFkMPgUJOldBS2Oaqb8W4nwGST6fsNeTwrdDrc8TkubMtyBJtyz2r6GoYwu67nbeEP234dDTJxuWrmRhO9RMJ+c0s78jaadzbqt3e4ckOefuCnsOyTkBYHkgOWf3kZyzNcuhPZJW8r0gYQkNfX5jO06SQqky2rfzhg2hW2B2YleR5aqdYwwLcgV1lM2k91+1TndOjNc8rzqpYiGf01x5MfT9Vg/ndf0bLkgcnEjDcrgW4u4IIUUnml0Oknby00j42I64n0H19q3+9T1ayOvlswtL343hfE7lRZc4QFifLyUoGWd1ss6413mr341OfqdabYtkPXDxbknXOuf+L+/2ByVd5Zz7WN3jPirpo5K0bt26K59++umu1xUAkMypO08FDy2YtPo2AhedQOCiNf3eHgnL7j9gpj/4tTfWbO8Z1lHOcocS8QV13LoRmFjplkPgJamgANipuXJDgDMrQZo0P4Pq70mQATPdfNXahqSurW7zu9z0deCiGjMuAGB5YMZF9xG4aE2/t0dW4ogwgN5YqZ3xIHG33+03K3U71KKktVW3L/LKAADLXG4kp8XZxmnHuZHM541G/+nr9kivdy0AsHKktTXrchB3+13Ek/XAxXclXWZml6rSQHivpPf1tkoAgDQMbRnS3N45qTp/V75SDmRM37dH+qmzAQBpaCWJMMJlOnDhnDtrZh+TtE/SgKTPOeeO9bhaAIAUDI4PSpLOHDijxdlF5UZyGtoytFQOZAXtEQBAUsxWS1emAxeS5Jx7SNJDva4HACB9g+ODBCqwLNAeAQAkxWy19LCQGAAAAAAAZBaBCwAAAAAAkFkELgAAAAAAQGYRuAAAAAAAAJlF4AIAAAAAAGQWgQsAAAAAAJBZ5pzrdR1SZWYnJD2d8sv+nKT/lfJrLneck0ack0ack2Ccl0ack0adOCcXO+fWpPyaCJCgPdLP134/H7vU38fPsfevfj5+jr2ipbbIigtcdIKZHXLObep1PbKEc9KIc9KIcxKM89KIc9KIc9If+vlz7udjl/r7+Dn2/jx2qb+Pn2Nv79hZKgIAAAAAADKLwAUAAAAAAMgsAhfxfKbXFcggzkkjzkkjzkkwzksjzkkjzkl/6OfPuZ+PXerv4+fY+1c/Hz/H3gZyXAAAAAAAgMxixgUAAAAAAMgsAhcAAAAAACCzCFxEMLPPmdmLZvZXva5LVpjZWjM7YGbfM7NjZvZPe12nXjOzITP7jpkd9c7JHb2uU1aY2YCZTZnZN3pdlywws6fMbNrMjpjZoV7XJwvMbNTM7jWzx83s+2b2d3pdp14ys/Xe9eH/91Mzu6XX9UJrwv5mmtmvercXzWxT1fPyFQAABuBJREFU3XN2mNkTZnbczLb2pubpSHr8ZvbLZnbY+508bGbX9K727Wnls/fuX2dmp83sn3W/1ulo8bp/g5n9T+/+aTMb6k3t29fCdZ83sy94x/19M9vRu9q3J+LYd3t/5x8zs6+Z2WjVc1bEb17SY19Jv3dSa5+9d3/s3zxyXEQws78n6bSkLzrnfrHX9ckCM7tA0gXOuUfN7G9IOixpwjn3vR5XrWfMzCSd65w7bWZ5Sf9D0j91zh3scdV6zsx+S9ImSa9yzr2j1/XpNTN7StIm59z/6nVdssLMviDpvzvn/tTMzpE07Jyb6XG1MsHMBiQVJV3lnHu61/VBcmF/MyU5SYuS/pOkf+acO+Q9/vWS7pb0ZkkXSvpvkn7BObfQg+q3rYXj3yjpx865583sFyXtc86N9ab27Ul67FXPu9d7zCPOuX/b3Vqno4XPfZWkRyV90Dl31MxeLWmmj67790m6wTn3XjMblvQ9SW9xzj3Vi/q3I+LYL5K03zl31sx+X5Kcc7+9kn7zWjj2FfN7JyU//qrnxf7NY8ZFBOfcX0o62et6ZIlz7gXn3KPev38m6fuSlu2XLA2u4rR3M+/91/cRQTO7SNL1kv6013VBNpnZiKS/J+mzkuSce5mgRY23SnqSoMXyFfY30zn3fefc8YCnvEvSV5xz8865H0l6QpUG/bKU9Pidc1POuee9m8ckFcxssHs1Tk8Ln73MbELSj1Q59mWrhWN/m6THnHNHvef8ZDl2XH0tHL+TdK4XwClIelnST7tW4RRFHPs3nXNnvYcdVKUzK62g37ykx76Sfu+klj77xL95BC7QMjO7RNJGSY/0uCo9Z5UlEUckvSjpW865vj8nkv5I0j9XZXQBFU7SN70pgR/tdWUy4FJJJyT9Z6ssKfpTMzu315XKkPeqMhKFFSDm38wxSc9W3X5OK2RwoIU2w02SHnXOzXesUl0S59jN7DxJvy1pRS03jfm5/4IkZ2b7zOxRM/vnXalcF8Q8/nslvSTpBUnPSPq3zrllP3Aacez/UNKfe/9ekb95MY+92or5vZPiHX8rv3kELtAS72K7T9ItzrllGRVOk3NuwTl3hSpRxDd7U776lpm9Q9KLzrnDva5LxvySc+5Nkt4u6Te95Wj9bJWkN0n6tHNuoyoNt+29rVI2eMtmbpD01V7XBe3r97+ZSY/fzDZI+n1Jv9HpunVagmPfKemTVTM4l70Ex75K0i9Jer/3/18xs7d2oYodleD43yxpQZWlEpdK+riZvbYLVeyYsGM3s38p6aykL/eqbp2W9NhX0u+dlOj4dyrhb96qFOuJPuHlcbhP0pedc/f3uj5Z4pybMbMDkq6V1M9JXTdLusHMrpM0JOlVZvYl59wHelyvnnLOFb3/v2hmX1OlsfKXva1VTz0n6bmqGUr3isCF7+2qjL78uNcVQXsS/s0sSlpbdfsir2zZStpm8JYZfk3Sh5xzT3a6fp2U8NivkvRuM/s3kkYlLZrZGefc/93hanZEwmN/TtJfOi//k5k9pEpQ+9udrWXnJDz+90n6r865sqQXzexhVfKD/bDD1eyIsGM3s78v6R2S3urcUpLFFfWbl/DYV9TvnZT4+BP/5jHjAol4iSg/K+n7zrk/7HV9ssDM1tgrGYILkn5Z0uM9rVSPOed2OOcucs5dosp09/39HrQws3O9ZEXylkO8Tf0d3JJz7q8lPWtm672it6qSlAzSzWKZyLLXwt/MByS918wGzexSSZdJ+k4n69hJSY/f+1u6V9J259zDHa5eRyU9dufc/+6cu8T7u/lHkv71Mg5aJL3u90kaN7NhL8/D/6Fl/LegheN/RtI13nPPlXS1lmk7MuzYzexaVZYP3+Ccm6t6yor5zUt67Cvp905Kfvyt/Oaxq0gEM7tb0lsk/ZykH0u63Tn32Z5WqsfM7Jck/XdJ03old8G/cM491Lta9ZaZvUHSFyQNqBIMvMc594ne1io7zOwtqmTP7utdRbxpn1/zbq6S9GfOud/rYZUywcyuUCWB6zmqjC79A+fcqZ5Wqse8huszkl7rnJvtdX3QurC/mZIGJf17SWskzUg64pzb6j3nX6qyDvisKlNtg9ZDLwtJj9/MbpO0Q9IPql7mbc65F7tW6ZS08tlXPXenpNNu+e4q0sp1/wFVPnsn6SHn3LLNc9HCdX+epP8s6fWSTNJ/ds7t7na90xBx7J9S5fh/4pUddM79I+85K+I3L+mxr6TfO6m1z77quTsV4zePwAUAAAAAAMgslooAAAAAAIDMInABAAAAAAAyi8AFAAAAAADILAIXAAAAAAAgswhcAAAAAACAzCJwAQAAAAAAMovABQAAAAAAyKz/HwNnfROsT75EAAAAAElFTkSuQmCC\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"plt.figure(figsize=(13,5))\nsb.histplot(train_df, x=\"Weekly_Sales\", hue=\"IsHoliday\", element=\"poly\")","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:09.982930Z","iopub.execute_input":"2021-08-07T19:14:09.983221Z","iopub.status.idle":"2021-08-07T19:14:10.272359Z","shell.execute_reply.started":"2021-08-07T19:14:09.983194Z","shell.execute_reply":"2021-08-07T19:14:10.271283Z"},"trusted":true},"execution_count":59,"outputs":[{"execution_count":59,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='Weekly_Sales', ylabel='Count'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 936x360 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"sb.barplot(x=\"IsHoliday\", y=\"Weekly_Sales\", data=train_df)\nplt.title(\"Holidays vs Weekly Sales\",fontsize=15)\nplt.xlabel(\"Type\")\nplt.ylabel(\"Weekly Sales\")\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:10.277690Z","iopub.execute_input":"2021-08-07T19:14:10.278020Z","iopub.status.idle":"2021-08-07T19:14:10.490184Z","shell.execute_reply.started":"2021-08-07T19:14:10.277984Z","shell.execute_reply":"2021-08-07T19:14:10.489216Z"},"trusted":true},"execution_count":60,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"def plot_df(train_df, x, y, title=\"\", xlabel='Date', ylabel='Value', dpi=100):\n plt.figure(figsize=(12,8), dpi=dpi)\n plt.scatter(x, y, color='tab:red')\n plt.gca().set(title=title, xlabel=xlabel, ylabel=ylabel)\n plt.show()\n\nplot_df(train_df, x=train_df.index, y=train_df['Weekly_Sales'], title='Daily Sales count') ","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:10.492214Z","iopub.execute_input":"2021-08-07T19:14:10.492530Z","iopub.status.idle":"2021-08-07T19:14:12.546769Z","shell.execute_reply.started":"2021-08-07T19:14:10.492499Z","shell.execute_reply":"2021-08-07T19:14:12.545670Z"},"trusted":true},"execution_count":61,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1200x800 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- The graph is very noisy and unable to read when plotted on daily basis. So lets plot the graph on monthly basis to check trends and seasonality","metadata":{}},{"cell_type":"code","source":"# Aggregating the Time Series to a monthly scaled index\ny = tdf[['Date','Weekly_Sales']].copy()\ny.set_index('Date', inplace=True)\ny.index = pd.to_datetime(y.index)\ny = y.resample('1M').mean()\ny['Date'] = y.index\n\n# Plot the Monthly Volume Lineplot\nfig, ax = plt.subplots(figsize=(15, 6))\nsb.lineplot(y['Date'], y['Weekly_Sales'])\n\nax.set_title('Monthly Sales', fontsize = 20, loc='center', fontdict=dict(weight='bold'))\nax.set_xlabel('Year', fontsize = 16, fontdict=dict(weight='bold'))\nplt.tick_params(axis='y', which='major', labelsize=16)\nplt.tick_params(axis='x', which='major', labelsize=16)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:12.548211Z","iopub.execute_input":"2021-08-07T19:14:12.548665Z","iopub.status.idle":"2021-08-07T19:14:12.924107Z","shell.execute_reply.started":"2021-08-07T19:14:12.548629Z","shell.execute_reply":"2021-08-07T19:14:12.922975Z"},"trusted":true},"execution_count":62,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- From the plot, We can see seasonal trend via Monthly Sales plotting.\n- There is high spike in Sales in January month and it goes downward in February.\n- Between months of May and September, Sales fulctuates on average rate.","metadata":{}},{"cell_type":"markdown","source":"## 5. Time Series Analysis","metadata":{}},{"cell_type":"markdown","source":"### --> Check stationarity of Time series ","metadata":{}},{"cell_type":"code","source":"from statsmodels.tsa.stattools import adfuller","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:12.925459Z","iopub.execute_input":"2021-08-07T19:14:12.925766Z","iopub.status.idle":"2021-08-07T19:14:12.932281Z","shell.execute_reply.started":"2021-08-07T19:14:12.925738Z","shell.execute_reply":"2021-08-07T19:14:12.931175Z"},"trusted":true},"execution_count":63,"outputs":[]},{"cell_type":"code","source":"# check for stationarity\ndef adf_test(series, title=''):\n \n print('Augmented Dickey-Fuller Test: {}'.format(title))\n # .dropna() handles differenced data\n result = adfuller(series,autolag='AIC') \n \n labels = ['ADF test statistic','p-value','# lags used','# observations']\n out = pd.Series(result[0:4],index=labels)\n\n for key,val in result[4].items():\n out['critical value ({})'.format(key)]=val\n \n # .to_string() removes the line \"dtype: float64\"\n print(out.to_string()) \n \n if result[1] <= 0.05:\n \n print(\"Rejects the null hypothesis\")\n print(\"Data has no unit root and is stationary\")\n else:\n print(\"Fail to reject the null hypothesis\")\n print(\"Data has a unit root and is non-stationary.\") ","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:12.933868Z","iopub.execute_input":"2021-08-07T19:14:12.934318Z","iopub.status.idle":"2021-08-07T19:14:12.945335Z","shell.execute_reply.started":"2021-08-07T19:14:12.934271Z","shell.execute_reply":"2021-08-07T19:14:12.944277Z"},"trusted":true},"execution_count":64,"outputs":[]},{"cell_type":"code","source":"adf_test(train_df['Weekly_Sales'], title ='ADF TEST')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:12.946895Z","iopub.execute_input":"2021-08-07T19:14:12.947191Z","iopub.status.idle":"2021-08-07T19:14:13.030171Z","shell.execute_reply.started":"2021-08-07T19:14:12.947164Z","shell.execute_reply":"2021-08-07T19:14:13.028690Z"},"trusted":true},"execution_count":65,"outputs":[{"name":"stdout","text":"Augmented Dickey-Fuller Test: ADF TEST\nADF test statistic -4.029054\np-value 0.001266\n# lags used 8.000000\n# observations 991.000000\ncritical value (1%) -3.436966\ncritical value (5%) -2.864461\ncritical value (10%) -2.568325\nRejects the null hypothesis\nData has no unit root and is stationary\n","output_type":"stream"}]},{"cell_type":"markdown","source":"- After running ADF Test, we can come to conclusion that our data is Stationary, so there's no need of conversion.","metadata":{}},{"cell_type":"markdown","source":"### --> Visualize the stationary data with Rolling mean & standard deviation","metadata":{}},{"cell_type":"code","source":"rolmean = tdf['Weekly_Sales'].rolling(12).mean()\nrolstd = tdf['Weekly_Sales'].rolling(12).std()\n\n#plot rolling statistics\nplt.figure(figsize=(20,8))\norig = plt.plot(tdf['Weekly_Sales'],color='Blue',label='Original')\nmean = plt.plot(rolmean,color='Red',label='Rolling Mean')\nstd = plt.plot(rolstd,color='Black',label='Rolling Standard Deviation')\n\nplt.legend()\nplt.title('Rolling Mean & Standard Deviation',fontsize=20)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:13.035978Z","iopub.execute_input":"2021-08-07T19:14:13.039361Z","iopub.status.idle":"2021-08-07T19:14:13.347163Z","shell.execute_reply.started":"2021-08-07T19:14:13.039284Z","shell.execute_reply":"2021-08-07T19:14:13.345830Z"},"trusted":true},"execution_count":66,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"### --> Autocorrelation & Partial Autocorrelation","metadata":{}},{"cell_type":"code","source":"from statsmodels.tsa.stattools import acf\nfrom statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n\nfig, ax = plt.subplots(nrows=1, ncols=2,figsize=(15, 6))\nautocorr = acf(train_df['Weekly_Sales'], nlags=60, fft=False)\nprint(autocorr)\n\nplot_acf(train_df['Weekly_Sales'].tolist(), lags=60, ax=ax[0], fft=False, color='Red');\nplot_pacf(train_df['Weekly_Sales'].tolist(), lags=60, ax=ax[1], color='Green');","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:13.348933Z","iopub.execute_input":"2021-08-07T19:14:13.349592Z","iopub.status.idle":"2021-08-07T19:14:14.006292Z","shell.execute_reply.started":"2021-08-07T19:14:13.349541Z","shell.execute_reply":"2021-08-07T19:14:14.005275Z"},"trusted":true},"execution_count":67,"outputs":[{"name":"stdout","text":"[1. 0.83212 0.73723939 0.68103112 0.66974535 0.59395797\n 0.58043769 0.58951982 0.58129722 0.5641419 0.54755816 0.53902708\n 0.52823727 0.51435287 0.51250686 0.51951934 0.51076295 0.4975803\n 0.48560313 0.47645855 0.46529952 0.45214599 0.4591584 0.46530768\n 0.47384045 0.47378358 0.47226696 0.46482162 0.46164184 0.44896265\n 0.43194553 0.40977906 0.39590174 0.3908733 0.3896287 0.38098663\n 0.37623026 0.37974691 0.37094161 0.35783696 0.35234324 0.35273008\n 0.35109601 0.35884961 0.36316384 0.36050864 0.34715468 0.32970253\n 0.36694741 0.35687251 0.37644341 0.39769281 0.46632442 0.40159753\n 0.35304622 0.32258281 0.3003966 0.25867004 0.24355484 0.24861906\n 0.24282047]\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- Autocorrelation measures the linear relationship between lagged values of a time series.\n- Partial autocorrelations measure the linear dependence of one variable after removing the effect of other variable that affect both variables.","metadata":{}},{"cell_type":"markdown","source":"### --> Lag Scatter plot","metadata":{}},{"cell_type":"code","source":"from pandas.plotting import lag_plot\nlag_plot(train_df['Weekly_Sales'])","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:14.008573Z","iopub.execute_input":"2021-08-07T19:14:14.009031Z","iopub.status.idle":"2021-08-07T19:14:14.228204Z","shell.execute_reply.started":"2021-08-07T19:14:14.008982Z","shell.execute_reply":"2021-08-07T19:14:14.227235Z"},"trusted":true},"execution_count":68,"outputs":[{"execution_count":68,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='y(t)', ylabel='y(t + 1)'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- We have positive Correlation in dependent feature.","metadata":{}},{"cell_type":"markdown","source":"### --> Differences in Time Series","metadata":{}},{"cell_type":"code","source":"from statsmodels.tsa.statespace.tools import diff\n\nfig, ax = plt.subplots(nrows=2, ncols=2,figsize=(15, 11))\n# Set the differences from the initial data\ntdf['OpenDiff1'] = diff(tdf['Weekly_Sales'],k_diff=1)\ntdf['OpenDiff2'] = diff(tdf['Weekly_Sales'],k_diff=2)\ntdf['OpenDiff3'] = diff(tdf['Weekly_Sales'],k_diff=3)\n\n# Plot the initial data and as well as Differences in initial data\ntdf['Weekly_Sales'].plot(title=\"Initial Data\",ax=ax[0][0], color='Black').autoscale(axis='x',tight=True);\ntdf['OpenDiff1'].plot(title=\"First Difference Data\",ax=ax[0][1],color='Orange').autoscale(axis='x',tight=True);\ntdf['OpenDiff2'].plot(title=\"Second Difference Data\",ax=ax[1][0],color='Orange').autoscale(axis='x',tight=True);\ntdf['OpenDiff3'].plot(title=\"Third Difference Data\",ax=ax[1][1],color='Orange').autoscale(axis='x',tight=True);\n\nfig.autofmt_xdate()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:14.230292Z","iopub.execute_input":"2021-08-07T19:14:14.230642Z","iopub.status.idle":"2021-08-07T19:14:14.969162Z","shell.execute_reply.started":"2021-08-07T19:14:14.230609Z","shell.execute_reply":"2021-08-07T19:14:14.968426Z"},"trusted":true},"execution_count":69,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x792 with 4 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"### --> Time series Components","metadata":{}},{"cell_type":"code","source":"from pylab import rcParams\nimport statsmodels.api as sm\n\n# Aggregating the Time Series to a monthly scaled index\ny = tdf[['Date','Weekly_Sales']].copy()\ny.set_index('Date', inplace=True)\ny.index = pd.to_datetime(y.index)\ny = y.resample('1M').mean()\n\n# Setting rcparams\nrcParams['figure.figsize'] = 15, 12\nrcParams['axes.labelsize'] = 20\nrcParams['ytick.labelsize'] = 16\nrcParams['xtick.labelsize'] = 16\n\n# DECOMPOSING TIME SERIES\ndecomposition = sm.tsa.seasonal_decompose(y, model='multiplicative', freq = 12)\ndecomp = decomposition.plot()\ndecomp.suptitle('Open decomposition', fontsize=22)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:14.970313Z","iopub.execute_input":"2021-08-07T19:14:14.970788Z","iopub.status.idle":"2021-08-07T19:14:16.677965Z","shell.execute_reply.started":"2021-08-07T19:14:14.970757Z","shell.execute_reply":"2021-08-07T19:14:16.677304Z"},"trusted":true},"execution_count":70,"outputs":[{"execution_count":70,"output_type":"execute_result","data":{"text/plain":"Text(0.5, 0.98, 'Open decomposition')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x864 with 4 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- We can see the increasing trend over the time in data.\n- The seasonal component remains the same over time. But this doesn't mean years far apart won't have different seasonal patterns.\n- The residual component displays what is left over when the seasonal and trend-cycle components have been subtracted from the data.","metadata":{}},{"cell_type":"markdown","source":"### --> Moving Average(MA)","metadata":{}},{"cell_type":"code","source":"# Aggregating the Time Series to a monthly scaled index\ny = tdf[['Date','Weekly_Sales']].copy()\ny.set_index('Date', inplace=True)\ny.index = pd.to_datetime(y.index)\ny = y.resample('1M').mean()\n\ny['MA3'] = y.rolling(window=3).mean() \ny.plot(figsize=(15,6));","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:16.679091Z","iopub.execute_input":"2021-08-07T19:14:16.679548Z","iopub.status.idle":"2021-08-07T19:14:17.063327Z","shell.execute_reply.started":"2021-08-07T19:14:16.679517Z","shell.execute_reply":"2021-08-07T19:14:17.062456Z"},"trusted":true},"execution_count":71,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- Moving average is the estimation of the trend-cycle at time , and is obtained by averaging the values of the time series within number of periods of time. \n- The Observations that are nearby in time are also likely to be close in value.","metadata":{}},{"cell_type":"markdown","source":"### --> Exponential Smoothing","metadata":{}},{"cell_type":"code","source":"from statsmodels.tsa.holtwinters import SimpleExpSmoothing, ExponentialSmoothing\n# Setting the span value\nspan = 6\n# Weights of observations\nalpha = 2/(span+1)\n\n# Plot Simple exponential smoothing\ntdf['ES3'] = SimpleExpSmoothing(tdf['Weekly_Sales']).fit(smoothing_level = alpha, optimized = False).fittedvalues.shift(-1)\ntdf[['Weekly_Sales','ES3']].plot(figsize=(15,6));","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.064514Z","iopub.execute_input":"2021-08-07T19:14:17.064798Z","iopub.status.idle":"2021-08-07T19:14:17.319957Z","shell.execute_reply.started":"2021-08-07T19:14:17.064770Z","shell.execute_reply":"2021-08-07T19:14:17.319105Z"},"trusted":true},"execution_count":72,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"# Plot Double and Triple exponential smoothing\ntdf['DESmul3'] = ExponentialSmoothing(tdf['Weekly_Sales'], trend = 'add').fit().fittedvalues.shift(-1)\ntdf['TESmul3'] = ExponentialSmoothing(tdf['Weekly_Sales'], trend = 'add', seasonal = 'add', seasonal_periods = 24).fit().fittedvalues.shift(-1)\ntdf[['Weekly_Sales', 'TESmul3', 'DESmul3']].plot(figsize = (15,6));","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.320967Z","iopub.execute_input":"2021-08-07T19:14:17.321359Z","iopub.status.idle":"2021-08-07T19:14:17.951826Z","shell.execute_reply.started":"2021-08-07T19:14:17.321330Z","shell.execute_reply":"2021-08-07T19:14:17.951112Z"},"trusted":true},"execution_count":73,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- Exponential smoothing assigns exponentially decreasing weights for newest to oldest observations.\n- The weights decrease exponentially as the observations come from the past.\n- The smallest weights are associated with oldest observations.","metadata":{}},{"cell_type":"markdown","source":"## 6. Time Series Forecasting","metadata":{}},{"cell_type":"code","source":"train_df = train_df.sort_values(by='Date')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.952793Z","iopub.execute_input":"2021-08-07T19:14:17.953172Z","iopub.status.idle":"2021-08-07T19:14:17.958263Z","shell.execute_reply.started":"2021-08-07T19:14:17.953143Z","shell.execute_reply":"2021-08-07T19:14:17.957538Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"train_df.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.959595Z","iopub.execute_input":"2021-08-07T19:14:17.960051Z","iopub.status.idle":"2021-08-07T19:14:17.975635Z","shell.execute_reply.started":"2021-08-07T19:14:17.959977Z","shell.execute_reply":"2021-08-07T19:14:17.974862Z"},"trusted":true},"execution_count":75,"outputs":[{"execution_count":75,"output_type":"execute_result","data":{"text/plain":"(1000, 15)"},"metadata":{}}]},{"cell_type":"code","source":"# Reset index column to put Date column back into Dataframe\ntrain_df.reset_index(level=0, inplace=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.976799Z","iopub.execute_input":"2021-08-07T19:14:17.977283Z","iopub.status.idle":"2021-08-07T19:14:17.991157Z","shell.execute_reply.started":"2021-08-07T19:14:17.977251Z","shell.execute_reply":"2021-08-07T19:14:17.989727Z"},"trusted":true},"execution_count":76,"outputs":[]},{"cell_type":"code","source":"#Creating train and test set \ntrain = train_df[0:700] \ntest= train_df[700:]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:17.992533Z","iopub.execute_input":"2021-08-07T19:14:17.992883Z","iopub.status.idle":"2021-08-07T19:14:18.005337Z","shell.execute_reply.started":"2021-08-07T19:14:17.992854Z","shell.execute_reply":"2021-08-07T19:14:18.004533Z"},"trusted":true},"execution_count":77,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots(figsize=(15, 6))\nsb.lineplot(train['Date'], train['Weekly_Sales'], color = 'black')\nsb.lineplot(test['Date'], test['Weekly_Sales'], color = 'blue')\n\n# Formatting\nax.set_title('Train & Test data', fontsize = 20, loc='center', fontdict=dict(weight='bold'))\nax.set_xlabel('Date', fontsize = 16, fontdict=dict(weight='bold'))\nax.set_ylabel('Weekly Sales', fontsize = 16, fontdict=dict(weight='bold'))\nplt.tick_params(axis='y', which='major', labelsize=16)\nplt.tick_params(axis='x', which='major', labelsize=16)\nplt.legend(loc='upper right' ,labels = ('train', 'test'))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:18.006508Z","iopub.execute_input":"2021-08-07T19:14:18.006976Z","iopub.status.idle":"2021-08-07T19:14:25.408077Z","shell.execute_reply.started":"2021-08-07T19:14:18.006931Z","shell.execute_reply":"2021-08-07T19:14:25.407041Z"},"trusted":true},"execution_count":78,"outputs":[{"execution_count":78,"output_type":"execute_result","data":{"text/plain":"<matplotlib.legend.Legend at 0x7f81ea941250>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAA7IAAAGSCAYAAADes/3rAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAADjZklEQVR4nOzdd5ycVfX48c+dmd2d7T0JCUkAAQWBREAEKYKA9IDSsUF+gAVURLECoiKCSBEQQQFR+CKIgCBNDISSQiCV9LbJtmR7L9Pv7487z2R2dmZ2ZnZ2Z8t5v1772t2ZO8/cbbPPec655yqtNUIIIYQQQgghxHhhy/QEhBBCCCGEEEKIZEggK4QQQgghhBBiXJFAVgghhBBCCCHEuCKBrBBCCCGEEEKIcUUCWSGEEEIIIYQQ44oEskIIIYQQQgghxhUJZIUQQoggpdQtSiltvWV6PiJ5Sql9wn+GSqnLMz0nIYQQ6SeBrBBCiIxRSu2MCDoSeXs80/MeCUqpQ5VSjyiltiql+pRSHUqpzUqpZ5RSF6RwvFtS+N6OSvAe8XN/fDSeczjkAocQQow9jkxPQAghhBhD3gB6RvtJlVInAa8D2WE35wLFwIFADvCv0Z6XEEIIMVZJICuEECKTfoMJ1sLdGfZxFfCniPvXxTqYUsoBZGmt+1OZjNZ6CbAklccO03fZE8T6gUeBGmAKcDjgSeGY0YLyi4Ejwz6/DWhP4dhCCCFERimtpUJGCCHE2BFRuvmO1vrEiPt3ArODn/4NuAu4FTgOKANO0lq/rZSaD3wBOBSoBEowAWEt8C5wr9Z6Y8SxbwF+YX2utVZh970NfM6aFyYovAWYB1RgAs8/A7/XSf5zVUo9Avy/4KcbtdYHR9xv01oHkjlmjOd5HPh62E37aq13RozJB74BfAk4GCjABLvvAw9orf8X5bhfAK7BBMmVgA9oAbYDHwKPaK23RHn+aE7SWr+dwNeyF+bnfjZQBGwG/ggswFwAsVyhtX48+Jgy4MeYiwP7Y35f8oCu4ONfCH6N/cHxJwILh5jK37TWlwcvovwieOyPA+VAIeZiwjbgNeBurbVcOBBCiDSQjKwQQojx7DBgKZAf5b5vA0dE3JYFfCL49nWl1OmJBE1RzARWAtPDbtsf+B0mMPplkse7C5gPKOAgpdR3tdb3WXemI4hNhFJqP0yJ8wERd03BBOzzlFK/01r/OOwxXwaejBifhfkezQROBDYAW9I4z70xmfOZYTfPwVxI+E+ch04HfhTl9jLgmODbJUqpE7TWvUlOywncGOX2Yszv4RHAV5VSR2utG5I8thBCiAgSyAohhBjPPoUpxf0/TEZtf8AKQJqBlzHZsHbAC0wDvogJgHKAB4BDUnje/QAXpuy5H/gWZk0rwPVKqdu01t5EDqSUOgB4DhPEWv6glMrVWt8RNu4Y9pQ9r9RaRwbpw6KUsmMyklYQ24X5vu4CjgLOCd7+I6XUGq31U8HPvxN2mM3As5jM997AQZjg0PI0pjT8Z0Bp8LblwDNhY7YnMN37GRjEvofJnB4eNs9oAsAm4AOgAfN7kR2c5wWY86LDMT/P3wfncgMms39q2HFuCPvYKnXXwA5M5ro+eGw7sC8me5+HqSS4Ebg2ga9RCCFEHBLICiGEGO8u0Fr/O/JGrfUZSikncDTwMUyZZy2m9PSK4LBPKqVmaq1rU3jeS7TWLwIopWqAe4O3F2EyvmuHOoBSqhz4LybYARNkHYAJgG5XSlVora2gKTxLujmF+Q7lDEyG23Kq1vqDsLk+A1wU/PRHgBXIOsMec4vW+unwgyqliqwxWuvXgdeVUteyJ5Bdr7X+faKTVEpNA84Nu+lt4GQra62Ueow9P98BtNYbMBnvGcCnMRnaXGAF5oKGdVHjDEyJeC3we6VUAWGBbLT5BjO4+ymlKoDPYALtPEw2ejlwQtixhRBCDJMEskIIIcazddGCWACl1PeAX2ECy3j2xgS4ydhlBbFBkYFlKYm5jj1BbDUm83kx8JfgbT8MBrtXAZeGPe6tpGabmOMjPl+mlIo6EJijlCrUWndj1gvPCd7+uFLqW5gs+BZMAPeu1rorjfM8koHZ6yciSq8fJ0Ygq5QqBf6KKZOO+cVhfieSErxo8gBwOeZCRNqOLYQQYjAJZIUQQoxnm6LdqJSax54M6VByUnjenRGfuyM+T3Sf9vBy1eeCgeEjSqlKTEdhMEHZoezpNtyLKQFOt7Ikx1cA3cDPMSWz8zDfyxPYk30EaFBKXai1XpSWWZqmXeEah/g83KMMzObGksrvxG3sadgVT/bQQ4QQQgxFAlkhhBDjWayGPJdEjLkA0wG5Xyl1JvDKMJ83cv1rqlsAlIR9XBE6mNa/DQaz3w/eFL5lzl1a69YUny+etrCPNWYdqy/O+HYArXUPcJ5SaiqmjPuA4Ns5wF6Ydcl/x6wrToeOiM+nDvE5AEqpPEywbVkIXA3s0Fr7lVL/BC4cxrzCf+fWAZcBm7TWXqXU7xi4rlYIIcQwSSArhBBiIqoI+7gquDbTcknk4AzaiNmqBeAipdS9WutVwc9/AHwS02jIUg38eoTmsog9HX0V0Ki1/mvkIKXUvsCBWuuO4OeHAFu11o3Ai2Hj/otpYgWwr1KqPCwAD78QkJfkPFdgAm2rNPirSqnHw8qLY23vU8LAkt+XtdbbgnOdApwU5zkHXLhQSuVprfsixoT/zi3UWq8Njs1lYAAthBAiDSSQFUIIMRFtZk/Z7qHBRkXrMFvBfD5Tk4rij8B5wY+dwFKl1JNAHaZ77qkR42djOurePwJzeRXzPbIaHv1FKXUesAqTmZ2JaWI0B7N/73+D424HjldKvYXZS7cRsy45fE2vGwgP/OowHaYBzlJK3YHpMu0J33YoGq31bqXUf9gTHJ4IvB18/nhdi5sw2dyS4Oc3BrPIGvgqAwPRSHURnz+llFqK6Zj9ktZ6C+Z3zvreXRXcD7kLk+X9OEIIIdJKAlkhhBAT0b3A19jT6Oki9nTc/SsxmgGNNq31AqXUDzH7z9owazOjrbPsY0/m8h6l1Dat9WtpnotfKXUue/aRtRPcOzaBhxexJyCP5h6tdX/Y589iAlAwX5eVCe4F4gayQddi9mWdEfz8ePY0q3qLKBcrtNY+pdRtmO81mIZc1vPWA/9j8IUDy2tAD1AQ/Pxc9qy13YlpbPUr4J/B25zAd4Mfd2My0+cn8HUJIYRIUKLNKIQQQohxQ2u9HRPYvIYJjvow+3vOw6zXHDO01ndhuhX/HVM67MHsUbs1eNsXMPucWk2M7MAzSqlDR2AuVcBc4HuYbW1aMVnHPkzG8WngSvas3QWz3+pdmNLkGsy+ul5gN+b7f4nW+qcRT/UQ8NPgMT0pzLMWkx1+HJPJdQPrMcHjVXEedyfwDUxJtzf42P8LHmtXnMc1YbbNWYgJTKONeRb4Eqb02YNZQ/wSZt3wumiPEUIIkTqldar9KYQQQgghhBBCiNEnGVkhhBBCCCGEEOOKBLJCCCGEEEIIIcYVCWSFEEIIIYQQQowrEsgKIYQQQgghhBhXJJAVQgghhBBCCDGuyD6yGVJRUaH32WefTE9DCCGEEEIIITJixYoVLVrrylQeK4Fshuyzzz4sX74809MQQgghhBBCiIxQSlWn+lgpLRZCCCGEEEIIMa5IICuEEEIIIYQQYlyRQFYIIYQQQgghxLgia2SFEEIIIYQQIgO8Xi91dXW4XK5MT2VEOZ1O9t57b7KystJ2TAlkhRBCCCGEECID6urqKCwsZJ999kEplenpjAitNa2trdTV1bHvvvum7bhSWiyEEEIIIYQQGeByuSgvL5+wQSyAUory8vK0Z50lkBVCCCGEEEKIDJnIQaxlJL5GCWSFEEIIIYQQYhLq6OjgwQcfTPpxZ555Jh0dHemfUBIkkBVCCCGEEEKISShWIOvz+eI+7tVXX6WkpGSEZpUYafYkhBBCCCGEEJPQT37yE7Zv387cuXPJysrC6XRSWlrKpk2b2LJlC+eddx61tbW4XC6+973vcfXVVwOwzz77sHz5cnp6ejjjjDM47rjjWLJkCTNmzODFF18kNzd3xOcugawQQgghhBBCZNh1113H6tWr03rMuXPncu+998a8//bbb2fdunWsXr2at99+m7POOot169aFugs/9thjlJWV0d/fz6c//WnOP/98ysvLBxxj69at/OMf/+Avf/kLF110Ec899xxf+cpX0vp1RCOBrBBCCCGEEEIIjjrqqAFb5Nx333288MILANTW1rJ169ZBgey+++7L3LlzATjiiCPYuXPnqMxVAlkhhJjg3G43Xq+XgoKCTE9FCCGEEDHEy5yOlvz8/NDHb7/9NgsWLGDp0qXk5eVx4oknRt1CJycnJ/Sx3W6nv79/VOYqzZ6EEGKC6+rqoqmpKdPTEEIIIcQYU1hYSHd3d9T7Ojs7KS0tJS8vj02bNvH++++P8uzik4ysEEJMcH6/f8jug0IIIYSYfMrLyzn22GM55JBDyM3NZerUqaH7Tj/9dB566CEOOuggPv7xj3P00UdncKaDjXogq5TaG/gxcCQwB8gF9tVa74wY5wR+DXwFKAFWAz/WWr8bMc4WPN43gGnAZuBXWuvnojz3VcAPgH2BncA9WuuHoow7D/gFcBDQCPwF+K3W2h8x7jjgd8CngE7gKeDnWuvRyacLIUQCAoEAfr9/6IFCCCGEmHSeeuqpqLfn5OTw2muvRb3PWgdbUVHBunXrQrf/8Ic/TPv8YslEafH+wEVAO/BenHGPAlcBNwNnA7uB/yql5kaM+zVwC/AAcAbwPvCsUurM8EHBIPZh4DngdOBZ4EGl1Lcixp0WHPNh8Hh/AG4EbosYdxjwP6ApOL8bgSuAx+N+9UIIMcp8Pp9kZIUQQggxoWSitPhdrfVUAKXUlcAXIgcopeYAlwHztdZ/Dd72DrAe+BUwL3jbFOCHwO1a698HH75QKbU/cDvwanCcA/gN8ITW+udh46YDv1ZKPaK19gZvvx1YpLW+OmxcAXCjUuoerXVD8PZfAnXAhdZjlVIe4G9KqTu01iuH+X0SQoi08Hq9BAKBTE9DCCGEECJtRj0jq7VO5GxqHuAFngl7nA94GjhNKWW1xjoNyAaejHj8k8ChSimrd/QxQGWUcU8A5cBxAEqpmcDcGOOyMBlalFJZmKzuP8MCYIB/Ah7g3AS+RiGEGBUSyAohhBBiohmrXYs/CezQWvdF3L4eE7juHzbODWyLMg7g4LBxAOtSGae13gH0hY37GOCMMs4FbA8bJ4QQGef3+yWQFUIIIcSEMlYD2TLMGtpIbWH3W+87tNY6gXFEOWai46zbEhnXFna/EEJknGRkhRBCCDHRjNVAdkJSSl2tlFqulFre3Nyc6ekIISYJn88nXYuFEEIIMaGM1UC2HSiNcruV6WwLG1eilFIJjCPKMRMdZ92WyLiysHEDaK3/rLU+Umt9ZGVlZbQhQgiRdj6fTzKyQgghhBiko6ODBx98MKXH3nvvvfT1Ra4EHT1jNZBdD+yrlMqLuP1gTDOlbWHjcjBrViPHAWwIGwd71sAmNU4ptQ+QFzZuO2ZtbuQ4J7Bf2DghhMg4n8/H4BUYQgghhJjsJJBNv/9gugRfaN0Q3ELnYuANrbU7ePPrmO7GX454/FeAdcEmTQBLgZYY49qAxQBa6xpgTYxxXuC14DhP8LkvCs7LcgEmsH4pia9VCCFGlNfrldJiIYQQQgzyk5/8hO3btzN37lxuuOEG7rzzTj796U9z2GGH8Ytf/AKA3t5ezjrrLObMmcMhhxzCM888w3333ceuXbs46aSTOOmkkzIy90zsI4tS6oLgh0cE35+hlGoGmrXW72itVymlngHuDW51swP4FrAvYUGm1rpJKXU38FOlVDewEhPsfp7gXrPBcV6l1E3Ag0qpemBBcMx84DvBwNTyM+BlpdTDwD+ATwE3An8I20MW4BbgfeCfSqk/AvsAdwL/0lqvGN53SAgh0sfv9zN4BYYQQgghxpLrroPVq9N7zLlz4d57Y99/++23s27dOlavXs0bb7zBv/71Lz744AO01sybN493332X5uZmpk+fziuvvAJAZ2cnxcXF3H333SxcuJCKior0TjpBGQlkgWcjPrfy2e8AJwY/vgL4DXArUILJlJ6utV4Z8difAz3A94BpwGbgIq31y+GDtNYPKaU08APgBqAGuFZr/WDEuFeDgfYvgMuBRuC24FzCx61WSn0BuAN4BegE/o4JhIUQYszw+/3YbGO1AEcIIYQQY8Ebb7zBG2+8wac+9SkAenp62Lp1K8cffzw/+MEP+PGPf8zZZ5/N8ccfn+GZGhkJZLXWQ6YGtNb9wPXBt3jj/Jhg99YEjvkw8HAC454Hnk9g3LvAMUONE0KITAkEAvj9fux2e6anIoQQQog44mVOR4PWmp/+9Kd84xvfGHTfypUrefXVV7nxxhs5+eSTufnmmzMww4HkEr0QQkxgVlmxdC0WQgghRKTCwkK6u7sBOO2003jsscfo6ekBoL6+nqamJnbt2kVeXh5f+cpXuOGGG1i5cuWgx2ZCpkqLhRBCjIJAICCBrBBCCCGiKi8v59hjj+WQQw7hjDPO4LLLLuOYY0zBaUFBAU8++STbtm3jhhtuwGazkZWVxZ/+9CcArr76ak4//XSmT5/OwoULR33uSrZkyIwjjzxSL1++PNPTEEJMcP39/bzzzjuAudIqTZ+EEEKIsWPjxo0cdNBBmZ7GqIj2tSqlVmitj0zleFJaLIQQE1j4tjuSlRVCCCHERCGlxUIIMYFZpcVgmjgIIYQQQkwEEsgKIcQEFggEQgGsBLJCCCGEmCiktFgIISaw8HJiCWSFEEKIsWcy/H8eia9RAlkhhJjAwtfIToZ/lEIIIcR44nQ6aW1tndD/o7XWtLa24nQ603pcKS0WQogJLDwjK82ehBBCiLFl7733pq6ujubm5kxPZUQ5nU723nvvtB5TAlkhhJjArOBVKTWhr/YKIYQQ41FWVhb77rtvpqcxLklpsRBCTGBerzcUxEogK4QQQoiJQgJZIYSYwHw+H3a7HZA1skIIIYSYOCSQFUKICczKyIIEskIIIYSYOCSQFUKICczn82GzmZd6afYkhBBCiIlCAlkhhJjArEBWmj0JIYQQYiKRQFYIISYwv9+PzWaTZk9CCCGEmFAkkBVCiAnM4/GESoslkBVCCCHERCGBrBBCTGB+v1+aPQkhhBBiwpFAVgghJrDw7Xek2ZMQQgghJgoJZIUQYgLz+XwopaTZkxBCCCEmFAlkhRBiArO6FkuzJyGEEEJMJBLICiHEBBUIBNBayxpZIYQQQkw4EsgKIcQEFbkmVtbICiGEEGKikEBWCCEmqPDAVSklgawQQgghJgwJZIUQYoLy+/2hjyWQFUIIIcREIoGsEEJMUJEZ2fDAVgghhBBiPJNAVgghJigpLRZCCCHERCWBrBBCTFCRpcWSkRVCCCHERCGBrBBCTFCBQCC09Y5kZIUQQggxkUggK4QQE5S1jyyYQFb2kRVCCCHERCGBrBBCTFBSWiyEEEKIiUoCWSGEmKCktFgIIYQQE5UEskIIMUFFZmAlIyuEEEKIiUICWSGEmKA8Hg82m3mZt9lsskZWCCGEEBOGBLJCCDFB+Xy+UCArpcVCCCGEmEgkkBVCiAnK7/cPCGSltFgIIYQQE4UEskIIMUF5vd5QIAtIRlYIIYQQE4YEskIIMUH5fD7pWiyEEEKICUkCWSGEmKB8Ph92ux0wzZ4kkBVCCCHERCGBrBBCTFCSkRVCCCHERCWBrBBCTFCyRlYIIYQQE5UEskIIMUFJ12IhhBBCTFQSyAohxAQVnpGVNbJCCCGEmEgkkBVCiAlIa43WesAaWa11hmclhBBCCJEeEsgKIcQEFK2M2ApuhRBCCCHGOwlkhRBiAgoEAqFsbDgJZIUQQggxEUggK4QQE1AgEIgatEogK4QQQoiJQAJZIYSYgGJ1KJaGT0IIIYSYCCSQFUKICShaabE0fBJCCCHERCGBrBBCTEDRSoul2ZMQQgghJgoJZIUQYgKKVVosgawQQgghJoIxG8gqpY5VSr2hlGpSSnUrpVYqpeZHjHEqpe5USu1WSvUrpZYqpU6IciybUuqnSqmdSimXUmqNUur8GM97lVJqk1LKrZTarJT6Zoxx5ymlVgWPV62UulEpZU/PVy+EEMMTay2sBLJCCCGEmAjGZCCrlDoMWABkAVcBXwI+BB5VSn0rbOijwftvBs4GdgP/VUrNjTjkr4FbgAeAM4D3gWeVUmdGPO9VwMPAc8DpwLPAgxHPiVLqtOCYD4PH+wNwI3DbML5sIYRIm1iBrDR7EkIIIcREoMbi1Xml1G3AD4EyrXVP2O1LAbTWxyil5gCrgfla678G73cA64HNWut5wdumALXA7VrrX4Qd602gUmt9WNhjdwGvaa2/HjbuMWAesJfW2hu8bRXQpbX+XNi4mzHB7CytdcNQX+ORRx6ply9fnvT3RgghEtHQ0MDq1auprKwM3dbS0sKxxx5LQUFBBmcmhBBCCGEopVZorY9M5bFjMiMLZANeoD/i9k72zHlecMwz1p1aax/wNHCaUionePNpweM9GXGsJ4FDlVL7Bj8/BqiMMu4JoBw4DkApNROYG2NcFiZDK4QQGeXz+QZ1LZZmT0IIIYSYKMZqIPt48P19SqnpSqmSYNnvycA9wfs+CezQWvdFPHY9JnDdP2ycG9gWZRzAwWHjANalMk5rvQPoCxsnhBAZ4/P5sNkGv8RLICuEEEKIicCR6QlEo7Vep5Q6EXgB+HbwZi/wTa3108HPy4D2KA9vC7vfet+hB5+9RRtHlGMmOs66rSzK7UIIMaq8Xq8EskIIIYSYsMZkIKuUOgDTTGk98E1MifG5wENKKZfW+v8yOb9UKaWuBq4GmDVrVoZnI4SYyKKVFoM0exJCCCHExDAmA1lM918vcLbVYAl4UylVDvxBKfUPTPZzdpTHWhlRK5PaDpQopVREVjbaOIBSTPfjRMZFKg0bN4jW+s/An8E0e4o1Tgghhsvn82G3D9wRTCklGVkhhBBCTAhjdY3socCasCDW8gGm8dIUTLZ2X6VUXsSYgwEPe9bErgdygI9FGQewIWwc7FkDm9Q4pdQ+QF7YOCGEyBiv1yvNnoQQQggxYY3VQLYBmKuUyo64/TOAC5P1/A+mS/CF1p3BLXQuBt7QWruDN7+Oye5+OeJYXwHWBZs0ASwFWmKMawMWA2ita4A1McZ5gdcS/iqFEGKESLMnIYQQQkxkY7W0+AHgWeA/SqkHMWtk5wGXAvdorT3AKqXUM8C9SqksYAfwLWBfwoJMrXWTUupu4KdKqW5gJSbY/XzwmNY4r1LqJuBBpVQ9sCA4Zj7wneBzWn4GvKyUehj4B/ApzB6yf0hkD1khhBhpEsgKIYQQYiIbk4Gs1vpfSqkzgR8DjwBOYDtwDfBw2NArgN8AtwIlmEzp6VrrlRGH/DnQA3wPmAZsBi7SWr8c8bwPKaU08APgBqAGuFZr/WDEuFeVUhcAvwAuBxox63p/M6wvXAgh0sTv95OVlTXgNqWUNHsSQgghxISg5Op8Zhx55JF6+fLlmZ6GEGKCeuutt8jPz8fh2HO9sqWlhTlz5jBt2rQMzkwIIYQQwlBKrdBaH5nKY8fqGlkhhBDDEK20WJo9CSGEEGKikEBWCCEmGCtgjQxkpbRYCCGEEBOFBLJCCDHBBAKBmJlXv98/yrMRQgghhEg/CWSFEGKCiRWs2mw2ycgKIYQQYkKQQFYIISaYWMGqlBYLIYQQYqKQQFYIISaYeIGslBYLIdKltbUVr9eb6WkIISYpCWSFEGKCiResSkZWCJEuu3fvpr+/P9PTEEJMUhLICiHEBCOlxUKI0eByuaTKQwiRMRLICiHEBBMrWJVmT0KIdHK5XPKaIoTIGAlkhRBigpGMrBBiNEggK4TIJAlkhRBigolX6idlgEKIdPD7/fh8PglkhRAZk3Igq5TaSyn1aaVUTjonJIQQYngCgQBKqUG3S0ZWCJEuPp8Pr9crrylCiIxJKJBVSn1NKfVPpdT84Oc/BmqB94FtSqmPjeAchRBCJCFW1lUCWSFEuvj9fvx+v2y/I4TImEQzsl8Bzgc6lVJFwC3BxypgOvDLEZmdEEKIpHm93qgZWWn2JIRIF5/PFyovFkKITEg0kD04+H4Z8BkgB5ON/TMmmD0x7TMTQgiREp/Ph91uj3qfBLJCiHSwMrISyAohMiXRQLYi+L4BOAjQwMPAD4K3T0nzvIQQQqTI5/PJGlkhxIiyAlhpICeEyJREA9ne4Pt9gCOCH28Ju78/XRMSQggxPF6vF5tt8Mu7BLJCiHTx+/3YbDZZIyuEyBhHguOqgMOBFUA+4AfWAjOD9zekf2pCCCFSESsja7PZ8Hg8GZiREGKi8Xg8OBwOKS0WQmRMohlZay1sYfAxz2ute4CTg/d/MAJzE0IIkQK/3y9rZIUQI8rtdksgK4TIqIQyslrrvyil2oETgB3Ag8G7dgM3AW+OzPSEEEIkK1bXYqUUWusMzEgIMdF4PB6ysrIkkBVCZEyipcVorf8F/CvitufTPiMhhBDD4vP5cDgGv7wrpaQxixAiLayMrLymCCEyJeFAFkApdR7wBaBMa32JUup4TMnxymCpsRBCiAzz+XxkZ2cPul2aPQkh0kXWyAohMi2hNbJKKbtS6kXgOeCbwIXBu34ELAS+MjLTE0IIkSyfzxeza7HWWsqLhRDDZpUWS9diIUSmJNrs6TrgHEz2NdxjwdvOSeOchBBCpEhrHdoWIxpZJyuESAcrIxsIBOQ1RQiREYkGsl8HNHBvxO2Lg+8PSteEhBBCpG6o0mHJyAohhktrjc/nC3VHlyULQohMSDSQ3T/4/uaI29uD76elZzpCCCGGI5ETSglkhRDDEbkuVgJZIUQmJBrIWi3pIjcmtDKxskBCCCHGAAlkhRAjLbxTsTSRE0JkSqKB7Mbg+xusG5RSxwCPBj9dn85JCSGESE0iW2HISacQYjjCM7Jaa3lNEUJkRKKB7N8wTZ1+ilkrC7AIODz4+RPpn5oQQohkBQIBlIrsy7eHNHsSQgxX5AUzCWSFEJmQaCD7IPASJpiNfHsFeGhEZieEECIpQ3UQlWZPQojhilwjm0gliBBCpJsjkUFaa62U+iJwMXA2MAVoAl4GntFyViSEEGNCIieU8pIthBgOycgKIcaChAJZMMEs8HTwTQghxBg0VGkxSCArhBie8IysNHsSQmRKzEBWKXVCMgfSWr87/OkIIYQYjqFKi60xQgiRKo/HE9pDVpo9CSEyJV5G9m32NHYaih7iWEIIIUbBUKXF0uxJCDFcLpcLm21PmxUJZIUQmTBU8Bm/Pk0IIcSYMtQJpTR7EkIMl9frxeHYcwopzZ6EEJkQL5D95ajNQgghRFr4fL4BmZJoJJAVQgyH2+0Ovc4opSSQFUJkRMxAVmstgawQQowzHo9HAlkhxIgKXyNrs9kGbccjhBCjIdF9ZIUQQowDPp8vbtdi6TAqhBguCWSFEGNBwg2alFKfA74HfBzIjbhba60/ls6JCSGESJ7f7w+dYMYiGVkhxHB4PB4KCgoAc3FMAlkhRCYkFMgqpU4BXsNkcK1L/daZkCLx7sZCCCFGkNfrHZSR3bBhAwceeCAOh0OaPQkhhiUQCAzYr9pms+H1ejM8KyHEZJRoafEPATsDg1iFdDUWQogxxe12D+gmumvXLr72ta/x9ttvh26TQFYIkarI7KtkZIUQmZJoIHsEJng9J+y2IuDPwBZgdprnJYQQIgV9fX0DAtmmpiYAOjo6QrfJGlkhRKoiOxTb7XbpWiyEyIhEA9ni4Pu3wm7rA34MHAg8kM5JCSGESJ7WekATFoD29nYAXC4XYLInkpEVQqRKMrJCiLEi0UC2J/jeB/QGPz4SmBb8+PPpnJQQQojkeb1etNYD1shamVgrkAUpLRZCpC4y+ypdi4UQmZJoINsYfF8BbAt+/DawIvhxb+QDhBBCjK5oDVciM7Iw+ERUCCESFRm0SrMnIUSmJBrIrsE0djoCeDb4cQ6QF7z/+fRPTQghRDISCWRlH1khxHBEXghTSsnFMSFERiS6j+wNwD1ANfBfYBZwMabU+IXg/UIIITIoWiAbWVosJ51CiOGI3OLLZrPJa4oQIiMSCmS11rVAbdhN3wy+CSGEGCM8Hs+g26yMbH9/P2BOOiUjK4RIldvtHtBQzgpqA4EANluihX5CCDF8Kb3iKKU+ppT6tFKqeOjRQgghRkN/f/+ArXcg+hpZCWSFEKnyeDyDAlattbyuCCFGXcxAVil1vFLqZ0qp+WG3zVZKLcfsHfs+0KyUumsU5imEEGII0QLZaKXFcsIphEhVZEbWIq8rQojRFi8j+w3g18BBYbf9CTgc0+xJYUqTr1NKXT1iMxRCCJGQ/v5+srKyQp9rrSWQFUKkVeRe1RZZJyuEGG3xAtnDgu//DaCUmgacBmggAPwPaMIEtJeP2AyFEEIkJDIj29/fj9vtDn0M0uxJCDE8sQJZuUAmhBht8QLZacH3m4PvP4cJWgGe0lqfBnwx+PnBIzA3AJRSZyql3lVK9SilupRSy5VSnw+7v1Qp9YhSqkUp1auUWqCUOjTKcZxKqTuVUruVUv1KqaVKqROijLMppX6qlNqplHIppdYopc6PMberlFKblFJupdRmpZQ0wBJCZITWGpfLNeAE01ofC5KRFUKkR7Q1svK6IoTIhHiBbFHwfVfw/dFh91n7xi4Pvs9N56QsSqlvAC8CKzBB84WYfWzzgvcr4D/A6cB3gPOBLGChUmrviMM9ClwF3AycDewG/quUmhsx7tfALcADwBmYtcDPKqXOjJjbVcDDwHPB538WeFAp9a1hftlCCJE0n8+H1nrAthhWIFtaWhrKzMoJpxAiVVprvF6vZGSFEGNCvO13moAZwJHAEkxQB6a0eFHw4/zg+7Z0T0wptQ9wL3CD1vresLv+G/bxPOBY4PNa64XBxy0FdgA/Ar4bvG0OcBkwX2v91+Bt7wDrgV8Fj4NSagrwQ+B2rfXvg8+xUCm1P3A78GpwnAP4DfCE1vrnYeOmA79WSj2itR68oaMQQoyQeHvI7rXXXtTX1wMSyAohUuf3+wddMAPpWiyEyIx4GdmPgu9fUUptAA7EBLEfaK1bgvcdHny/ewTmNh+zFvehOGPmAbusIBZAa92JydKeGzHOCzwTNs4HPA2cppTKCd58GpANPBnxPE8Chyql9g1+fgxQGWXcE0A5cNxQX5wQQqRTvEB26tSpA9bIygmnECIV8dbXy9p7IcRoixfI3oFZE1sEfDzs9vDtdi7ABLfvp39qHAdsAi5RSm1XSvmUUtuUUteEjfkksC7KY9cDs5RSBWHjdmit+6KMywb2DxvnBrZFGQd71gJ/Mvg+8rkjxwkhxKjweDyDbrNKi6dPn47H48Hv90uzJyFEynw+X8z75AKZEGK0xQxktdbvAZcCGzDZzO3AtVrr5wCUUoXA54FdwGsjMLfpwAHAnZiy3i9gOiU/oJT6XnBMGdAe5bFWqXNpguPKwt53aK11AuOIcszIcQMopa4ONqta3tzcHG2IEEKkxOv1Dir3a29vx+FwUF5eDpj9HyUjK4RIVbyLYPK6IoQYbfHWyKK1foawctyI+7qBT4zEpIJsQCFwudbaai71VnDt7E+VUveN4HOPCK31n4E/Axx55JGRwbIQQqSsr69vUAOW9vZ2SktLyc01/fhcLhcFBQVywimESEmsjKxcIBNCZEK80uJMaw2+/1/E7W8AU4G9MBnRUgaLzJgONa4tbFyJikxrRB9HlGNGjhNCiFERuYcsmDWypaWlOJ3O0BgpLRZi8gkEArS1Df/UJNZrh1IqbtmxEEKMhLEcyK4f4v5AcMwno9x3MFCjte4JO9a+Sqm8KOM87FkTux7IAT4WZRyYMuvwuUU+d+Q4IYQYFbEC2ZKSklAg63K5JJAVYhLq7++npqZm2MeJFazabLaoDeeEEGIkjeVA9oXg+9Mibj8dqNNaNwAvATOUUp+z7lRKFQHnBO+z/Aezv+yFYeMcwMXAG1prd/Dm1zHrgb8c8ZxfAdZprXcEP18KtMQY1wYsTvBrFEKItIgWyLa3t1NSUjKgtFgpxeA2AEKIiczv94c6lw+H1+vFZht86qiUkkBWCDHq4q6RzbBXgYXAw0qpCqAKE4h+AbgiOOYlTFD5pFLqBkzJ708x3ZZ/Zx1Ia71KKfUMcK9SKguzz+y3gH0JC0a11k1Kqbsxa3C7gZWYYPfzBPeaDY7zKqVuAh5UStUDC4Jj5gPf0VoPbh8qhBAjRGuNy+UiPz9/wO3WGtnIjKysZRNicvH5fPT390fdAzYZLpdr0Fp8MBlZqfQQQoy2MRvIaq21Uuo84LfALzHrUTcBX9ZaPxUcE1BKnQ38HngQcGIC25O01rURh7wC+A1wK1ACrAFO11qvjBj3c6AH+B4wDdgMXKS1fjlifg8ppTTwA+AGoAbT1fnB4X/1QgiROJ/PN+gE1ePx0NvbK2tkhRD4/X68Xi8+n4+srKyUj+P1emMGsrJGVggx2sZsIAugte4Crgm+xRrThsmEzh/iWP3A9cG3eOP8mGD31gTm9zDw8FDjhBBiJEXbeqezsxMg6hpZKS0WYnLx+/2hvaSHE8i63e6opcWSkRVCZEJCa2SVUhuUUtcHS3yFEEKMIV6vd1Bw2t5umqtHlhZbJJgVYvLweDyhjOxwjxMrIytrZIUQoy3RZk+fAO4E6pRSzyilvjCCcxJCiElr48aNAwLOREQ7gbQC2ciMrEXWyQoxeXg8HgKBwLADWbfbHTWQle13hBCZkGgg24RpoJQNXAC8ppTaoZS6USk1Y8RmJ4QQk0x3dzceT3L94qKVFsfLyEp5sRCTi9frTUsgK2tkhRBjSaKB7HRMt+DHgA5MUDsb04Rpp1LqP0qps0ZkhkIIMYn09/cnXaLX29s76OSyo6MDiB7Iaq0lkBViErEyqcMJNrXW+Hw+WSMrhBgzEgpktdYBrfUCrfWVmE6+84D3MAGtHTgTeEkptUwpNX3EZiuEEBNYIBDA5XIlHchG20O2o6MDpRRFRUU4HA6ysrJkjawQk5TH48HhcCRd7REuXhAsGVkhRCYkmpEFQJnatdMxe7B+FrDOhFTw7UjgoXROUAghJgu/34/P58Ptdif1uGiBbHt7O8XFxaFMrdPplEBWiEnK6/WSlZU1rEA2XsbV2p9aXleEEKMp0a7FeymlbgJ2Av/GBLN2wAP8FZgDnAEEgM+NxESFEGKiswLZ/v7+pB4XK5AtKSkJfe50OgccV5o9CTF5eDwesrOzk75IFi6RjKu8rgghRlOi+8jWYIJeq5tII/An4E9a6+bgbWuVUtXAvumdohBCTA4+n49AIJBUIKu1xuVykZ+fP+D2jo4OSktLQ5+HZ2Sl2ZMQk4vH48HpdA4rkE1kDazf74/aDEoIIUZCooGs9aq0GrgX+IfWOtoirnsA2WtWCCFS4Pf7sdlsSQWyPp8PrXXUrsX77LNP6PPc3Fxp9iTEJOT3+9Fa43A4kt7aK5xkZIUQY02igeyLwL1a63fiDdJa/3H4UxJCiMnJ5/PhcDiSyprEagwVLyMLskZWiMnCyqQ6HA76+vqGfZxYrHWyQggxWhIKZLXWXxzpiQghxGRnleV5PJ6oWdZoogWygUCAzs7OQYFseKZXAlkhJgcrALVeW1I1VEZWay2BrBBiVMUMZJVSNydzIK31r4Y/HSGEmLysE0WtNV6vl+zs7CEfEy2Q7erqIhAIDApkrb1lJXMixORhBbLW2vhU17Fae9HGI68rQojRFC8jewt7ttdJhASyQggxDB6PB5vNRiAQwOfzJRzIRlsfCwzqWiylxUJMPpGZVJ/Pl3Iga7Pt2ezC7/fj9XpxOp0DbhNCiNEy1PY7KsE3IYQQw+TxeEInmLHWvkbq7+8fdFIaK5C11t5KsychJo/I4DKRpk3ReDyeAdt8Pffcc8ybN2/A8SUjK4QYTfEysieN2iyEEEKESve8Xm/CgWxfX1/UPWQBWSMrhEhrIBuekd28eTNtbW309fVRWFgoSxaEEKMuZiAb3qFYKVWgte6JNVYpdXy6JyaEEJON1+sNZVcTPdns7+8fFMhaa2HDA9nw7XdAAlkhJot0BrLh1R+NjY2AWZNfWFgozZ6EEKNuqNJiy2tKKWe0O5RSpwOvpW9KQggxOblcLmw2G3a7PeH9HuNlZCNLiz0eD36/XzInQkwi0da2pnqcaIFsd3d36DZ5XRFCjKZEA9ljgf8opXLCb1RKfQmzx2xuuicmhBCTjdfrxeFwYLfbB5QBx+NyuaJmZPPz8wc0i7IasoSvkxVCTHzhmVSlVMLLFuIdR2s9KJAdzrGFECIViQayGvg88LxSKgtAKXU58DSQBcQsOxZCCJEYaw2aw+FIKJD1er1R95ttb28fkI2FPYFsf3+/NHsSYhIJX7Jgs9lCF7OS4ff7B7zW9PT00NfXB5jSYuvYqZYtCyFEKhINZL8ZfH868E+l1HXAo5g1ti3AyemfmhBCTB6BQAC/3x8KZBMpLY6V/Whvbx+wPhbMGlkgdFwJZIWYHMJLi+12e0qBbORrTUNDQ+hjKyMrgawQYrQlFMhqrf8C/D9MZnYecBdm250a4Dit9fIRm6EQQkwC1tpVYNiBbEdHx6BA1srIWseVtWxCTA7hJcHJrL8P19vbO+Dil1VWDAMDWdlHVggxmhLNyKK1fhz4GhDABLHrgGO01ltGZmpCCDF5+Hy+0Imi3W7H4/EMGWzGC2TjlRZLsychJo/w0mKHw5FSRrazs3NAo6dYGVlZIyuEGE0xt99RSlXFuMuHCYCnAIuDGQSttf5Y+qcnhBCTQ7RMhs/nG9CwKVK0k0atddTS4vCMrASyQkweHo+HnBzTq9O6SJaslpaW0PIEMBlZu91Obm7ugGZPUloshBhNMQNZYB9MKXF4F5HwRVWVYffJYishhBiGaIGs1+uNG8j29/cPyJKAKQH0er0xM7JWICslgEJMfFrrARnZVALZQCAwaLlCY2MjlZWV2O12WSMrhMiYeIFsDRKgCiHEqIh2AjhUmV5/fz9ZWVkDbuvo6ACQjKwQYtAFKyvYDAQCA/aWjaevry/UiM7S2NjI1KlT8Xg8oa7FkpEVQoy2mIGs1nqfUZyHEEJMauHNnixDnRT29/dH3UMWhg5kJSMrxMQX7XUFhl62EK63t3fQMRoaGvjkJz9JR0cHPT1mB0a73S5rZIUQoyrhZk9CCCFGTnizJzDZjaFOCvv6+gYFsu3t7QBDlhZLRlaIic/a/zVSMpnTtra2AZUfgUCApqYmpk6dSmFhoWRkhRAZk3Agq5SqUErdq5TaoJRqCN72Y6XUzUqp2SM3RSGEmPjCt8gAUwLY398f9zHRMrJWIBtvH1mllOwjK8QkEKvyIpmKjNbW1gGNntrb2/F6vUybNo2ioiJZIyuEyJh4a2RDlFLlwPvAvpgGT9YZ0L7AVYAf+M1ITFAIISYDt9s9YA2aw+GIG8h6vV601oNK/mIFslbXUiktFmLyiBVYJhpwer1eenp6qKysDN1m7SE7depUGhoaBu0jG+11SQghRkKiGdlfAPsxsIMxwD+Ct52ezkkJIcRkE5mRdTgcuFyumONdLlfUrGpHRwfZ2dkDMijW8bKysmQfWSEmkXhrZBPR29s76HXGCmStjKzH4xmwN628tgghRkuigew5mCzsJRG3rwy+3y9tMxJCiEkofIsMSCyQjcbaJiPayavT6ZSMrBCTyHDXyHZ3dw/qbtzQ0AAQWiNrjbNIICuEGC2JBrLTg+//HXG79UpYkZbZCCHEJOVyuQacMNrt9rilxd3d3YPWx4IpLY5s9GTJzc2VNbJCTCJer3fQRS2bzTYggxpPa2trqFGcpbGxkZycHEpKSgYFslLtIYQYTYkGsj3B91Mibj8h+L4zPdMRQojJyev1DghM7XZ7aL/HaDo6OkLrXsO1t7cPWh9rCc/IysmmEBOfx+MZlFG12+1xqz0sWmva2tqiBrJTp05FKRUKZK3OxVpreW0RQoyaRAPZ5cH3D1s3KKV+CvwfpuT4gzTPSwghJpXIZk8QfwueWIGsVVocjdPpDK2RldJiISa+yLX3YJYteDyeIR/rcrnweDyDKj+sQBagqKgIkNJiIURmJBrI3sOepk5WPdqtQFnw4/vTPC8hhJg0AoEAgUBgUCCrtY4ayHo8nqgnmBC/tNjKyFrPKYSY2KIFsna7PaFAtre3N+rt4YFsQUEBMDCQlYtkQojRklAgq7V+HbgBsyZWhb35gJ9orf87YjMUQogJLlZnUYjelCXW2lm3201fX9+QgazNZpNAVohJIFppcaJrZDs7OwcFwT6fj+bmZsnICiHGhIT2kQXQWt+llHoGk5WdAjQB/9Va147U5IQQYjLw+Xwxmy9Fy8jGCmQ7OjqAwXvIWpxOJx0dHbJGVohJItYa2VjZ1nAtLS2DtvFqaWkhEAgwbdo0gEFrZOW1RQgxmhIOZAG01nXAI0qpXK117HaaQgghEhavFC9aCWBHRwdZWVmDbm9vbwfiB7LS7EmIycPr9Q5q1uRwOPB6vWitY1aCBAIBOjs7KSsrG3B7+NY7AFlZWTidTnp6TE9QafYkhBhNia6RRSl1gFLq30qpXqA7eNu9SqnHlFKfHLEZCiHEBBcrkHU4HFGzr52dnTEbPcHQgSxI+Z8Qk0G0jCyYgDPeBbTe3l4CgcCgQLexsRHYE8iCycpaGVmQ1xYhxOhJKJBVSs0GlgLnALmY9bEAXuDrwGUjMjshhJgEoq2DBRPIRm6TobWmq6sr5tY7QEL7yEpDFiEmtkAggN/vjxrIQuzXHYjf6AkGB7LS7Ck1fX3Q1pbpWQgxfiWakb0F06E4crHWvzBB7SlpnJMQQkwq8TKykYGs2+2OeXJqZWSl2ZMQYqiAMl4g29bWRnZ29qDbGxsbyc/PD3UrhoGBrFwkS05nJ9RKpxkhUpZoIPsFzLY7p0Xcvjb4fnbaZiSEEJNMrBNKu90+qLQ4VqMngKamJrKyskKdRCM5nU48Hg+BQCBmcykhxMQwnEA2WqMnMGtkrUZPlqKiolBpsc1mi3tcMVB3N4RVZQshkpRoIFsZfL8k4narxDj6giwhhBBDirbXI0TPyPb19cVs0LJ9+3b23XffmKWE1ompy+VCay3BrBATWKqBrMfjoa+vL2ZGNrysGMxeslazJwlkk9PVBb29IAUyQqQm0UDWquDfJ+L2ecH3rWmZjRBCTEJWuW8kqwQ4/IS0o6Mj6gkmmED2Yx/7WMznsbqXWsGxBLJCTFxDBZSx7o+3NU+0QDY8I6uUGrOBbJSdzDKuqwv8fkhgW18hRBSJBrJLg++fsm5QSj0MPIYpOV6U5nkJEVcgEGDNmjWyzk9MCF6vN2pGFkywGb6XbEdHR9RGT93d3TQ2NkogK4QA4mdklVJR96gG81oSrerD7XbT3t4eNZC1uhzbbLaYx82kQABWrYKIApeM8vnA4wG7XQJZIVKVaCB7BxAADscErgBXAjnB2+9K/9SEiM3lctHc3ExfX1+mpyLEsMULZGFP5iQQCNDT0xM1I7t9+3YA9t9//5jHsQLZ/v5+2UtWiAkuXiDrcDhwx4iempqayMvLi3o7MGiNbEFBAVprenp6xmxGtr0dGhogTouBURceVEsgK0RqEgpktdbvA18G2jHrYq23duCrWutlIzZDIaJwuVx0dHQMaPkvxHgVq7TYYmU4+vv7o+7tCLBt2zYgsUBWMrJCTHzxAlmbzRY1kA0EArS1tYVeK8JZW+9Ea/YEJpNrt9vHZNfiujqT/RxLGVlrLg6HafokhEhezDMnpVR++Oda638CMzEdjL8SfD9Ta/30iM5QiCisTGxLS0uGZyLE8Hm9XhwOR9z7gUGNn8Jt376d/Pz8QWV/4cIDWWn2JMTE5vF4YjaGs9vtUQPZnp6emNt7NTQ0AAx6jSksLAT2lCSPtYysx2OysaWlZrubsaK/H5SCrCwJZIVIVewzJ2hXSq3FdCpeDCzWWtcCC0ZlZkLE0dnZSUlJCc3NzWitY/6zFmI8cLvdUUv5wKxl83g8gGnCEitzazV6ive3IBlZISYPj8cT8wKZ3W6PemHMyqpGYwWyU6ZMGXB7eCA7FrsWt7aC1uB0QnCr7TGhqwuys81bsOmzECJJ8UqLHcBc4NvA/wE7lVI1SqmnlVLfUUodoZRKdI2tEGnV0dFBXl4ebrc7bpZKiLEuEAiEmqRE43A4QnvHtre3Ry3501oP2bEYJJAVYjLxer1xX1eiZWQbGxujNpOz7istLR10vxXIdnV1jclmTzt3QkGBCRi7u01QOxZ0dpo5ZWXJFjxCpCpeILoO09gpfE3sDOBC4F7gA6BTKfWmUupXIzxPIULCG94opUL71wkxHvn9/rhZ1PC9ZGN1LG5tbaWzs3PIQDZ8H1lp9iTExOZ2u2MGsna7PVTpYdFa09raGnqdiBRt6x0YuEZWKTWm1sj29posbG4u2Gxmq5uILzsjtDZZ2OxsU14M0vBJiFTEDGS11ocBZcAZwK3AQqCfgYFtPnAS8PORnqhS6nWllFZK3Rpxe6lS6hGlVItSqlcptUApdWiUxzuVUncqpXYrpfqVUkuVUidEGWdTSv1UKbVTKeVSSq1RSp0fY05XKaU2KaXcSqnNSqlvpu8rFrFY6/uUUmRlZdHaKtsYi/HL5/PFzYza7Xb6+/vx+Xz09/eTlZU1aEwijZ5AMrJCTCYejydUJnzXXXfxzjvvhO5TSqG1HhB09vb24vP5YpYWNzY2Dmr0BKZrMewpLR5LgWxjowlgw42FIi6Px2Rgw+cmgawQyYtbGqy17tJa/1drfbPW+mSgGDgK+AlQw56teEaUUupSYE6U2xXwH+B04DvA+UAWsFAptXfE8EeBq4CbgbOB3cB/lVJzI8b9GrgFeAATxL8PPKuUOjPiua8CHgaeCz7/s8CDSqlvpfp1isT09/eHTsDz8vJobm7O8IyESN1QJ31WRrY/zr4R1tY7yZQWS7MnISY2a1uvQCDAP//5TxYsGNziJHw9qxWIxtLQ0BA1I5ufn4/NZgtlZLXWY6LaIxCA6mooLh54+1jYgida0DoWAmwhxpt4zZ5ClFLlwGeBY4NvR2D2kB3xDjtKqVLgHuD7wFMRd88LzufzWuuFwfFLgR3Aj4DvBm+bA1wGzNda/zV42zvAeuBXweOglJoC/BC4XWv9++BzLFRK7Q/cDrwaHOcAfgM8obX+edi46cCvlVKPaK3H1iKRCaSvry/0zzY7O5uOjg48Hk/UvTWFGOvCA1mfz4fP5xuwDtbhcNDV1RU3kN22bRvl5eWUlpbGfa7wfWRBMrJCTGQej4e8vDy6urrw+/2hZk3hfD5faLlCc3NzzPWxPT099Pb2Rg1klVIUFhYO2A4v3rr/0dLZaYLDYOUzYNajdnVBlMTyqIoMWh0Oafg0Xnk8pkRcZEa87Xf+n1LqUaXUJqAJ+DcmODwWcAK1mMDyGkxTqJFyB7BOa/2PKPfNA3ZZQSyA1roTk6U9N2KcF3gmbJwPeBo4TSllvXKfBmQDT0Y8z5PAoUqpfYOfHwNURhn3BFAOHJfwVyeSFm2doKyTFeNVeEbkr3/9K5dddtmA+621rO3t7TE7kCbS6AlMmXJ2dvaYLi32er1jruupEOORVVpsbVMXK5AF81rQ3Nwcd30sDN56xxItkM20+vrBAUZ2tglkM62nB8IruGULnvHJ74fly+UiRCbFu1z2F+By4EAgAKwB/ghcCszSWu+jtf6K1vpPWuu1IzE5pdRxwNcwwXI0n8Q0pYq0HpillCoIG7dDa90XZVw2sH/YODewLco4gIPDxhHluSPHiRHQ1dU1IPtqt9vpGEs99YVIQnhGdvv27dTU1NAZZbPDlpaWqFUHgUCAqqqqhAJZMFnZsdrsye/3s3z5curq6jI9FSHGNb/fH+ol0dbWBkBTU9OgpQzW5/39/XH3s04kkO0KixAzvU7W6zWBbHg2FiAnZ2zsJWt1LLbk5IyNAFskp60Ndu2SixCZlEjdhwb+BzwefHtWaz3iZxlKqWzMGtTfa603xxhWBrRHub0t+L40wXFlYe879OA0RbRxRDlm5DiRZuEdiy15eXk0NTVlcFZCpC48+2g1LqutrR00rq+vL2rZ365du3C5XEkHsjD2MrKbN2+moaEhdOIthEhNeCBp/T35/f5QdtZivf4MVdVkBbLRmj2BCWTDj5Hpi2StrYObKYHJgnq9me9cbHUstjgcptx4jF1bFEPYscN0xI74sxKjKF4guxDow6yDPR2zTjV8y51fK6VOV0oVxznGcPwIyMWsRZ0QlFJXK6WWK6WWS4Oi1IR3LLY4nU46OjoyfgVYiFSEdxa1Atnq6upB4/x+f9RsSaIdiy1OpzPUMG0sBbL19fXs2LGD6dOn09raOqbmJsR4E/7/MDx4DS8vVkqF9nyNVfFhaWxsxGazUVFREfX+yIxspgPZmhrIz499fyYbKwUC0NdnyoktSpkteaRz8fjR22sumFRUgJzSZ0687XdOBkqAI4HvYbry7mLPljs/A14BWpVSH6VzUkqpWZgtfW4CcpRSJUqpkuDd1ud2TEY0WneTyIzpUOPawsaVqMGbOkYbR5RjRo4bQGv9Z631kVrrIysrK6MNEUOI1vDG6pIo62TFeORyuUJNUaxAtqamJuHHWx2L99tvv4TGj8WMbGdnJ2vWrKGiogKHwxHaamg86u3tpaqqKtPTEJNctIwsDAxkbTYb7mDk1NjYSF5eXszjNTQ0UFlZGbP0uKioKLRGNtPLFrq7TYARK5BVKrOBrNttgtbIM00JZMeXXbtMJt3hMD+3cfova9wbavsdv9Z6pdb6fq31JVrrmcBsTAfhWky21saeNaPpsh+modSTmKDRegPTVbgdOBSzJjXacx8M1GitrchmPbCvUiryVfpgwMOeNbHrMd2YI2v0rDWvG8LGEeW5I8eJNOvr62PwdQbzD7lrnC0wkQyygD1bZPT399Pb2wsMDmQdDkfMDqDbtm1jxowZcU9Cw4UHspnOmgC43W5WrlxJYWFh6CRZKUVfX2RLg/Ghra2NTZs2hQIEITIhcslCUXCxaHgga7fbcbvduFwu3G531D2qLY2NjTHXx4LZS9YKZDO5/Y7bDStXQryXQ7s9s+tRYwXRmQ6wReL8fti5c+AabMmlZEZCvdGVUp8IdjH+K/AmcDcwk5HbR3Y1Jusb+QYmuD0JE3y+BMxQSn0ubK5FwDnB+yz/wewve2HYOAdwMfCG1to643gd0934yxHz+Qqmc/KO4OdLgZYY49qAxUl9tSJh0ToWgzk5H0/l2lprVq5cGbWpz2Tg9/uprq4OZSAnMyuQDf9eRAaypaWllJeXR3389u3bE87GwsBmT5nOyAYCAdauXYvf7x8QiDscjnHbwK25uZn+/n5Zty8yyu/3hy76trW1sffee1NUVDQokHW5XAO6DUejtaa2tjbm+lgwGVmPxxO6gJOJQNbvhzVrwOeDgoLY4zLdudjlGpyNBdmCZzxpaTG/Z1aBQna2qQIQoy/mPrJKqR9jttr5LINLaCP/BNNaR6W17gDejjIngGqt9dvBz1/CBJVPKqVuwGRqfxqc3+/CjrdKKfUMcK9SKguzz+y3gH0JC0a11k1KqbuBnyqluoGVmGD38wT3mg2O8yqlbgIeVErVAwuCY+YD39FaZ7iNwMQV2bHYkpubS0tLy5jYuy4RXV1d1NbWUlpaSnHkbu0TXGtrK+vXr6ejo4O99torZoA2WVilxVb536xZs6ipqRm0Fjwar9dLdXU1n/vc5+KOC2etKR8La2S3b99OU1PToEyP0+mkpaUl4XW/Y4XWmtbWVqZOnUpVVRV77733kD9DIRLh9Xrp7u6mrCyxXpJW12Ig9Dvp8/kGBLIOhwOPx0Nra2vcbGxNTQ0NDQ1cfvnlMccUFhYChILi0a440ho2bjRdZIdauZXpzsVdXXsCoHDZ2dL9drzYsWPgxZLcXLNO9hOfyNycJqt4Z/y/Bc7CrPtUYW8+TNOne4ALgL201geM8Dyj0loHgLMxXZUfBF4A/MBJWuvItp9XAH8FbsWs7Z0JnK61Xhkx7ufBMd8D/osJ5i/SWr8c8dwPYYLhi4LjLgWu1Vr/MW1fYAZ0dnaGyg7Hmmgdiy12ux2/3z9uyhHr6+vJzc2lvr4+01MZNX19faxevZr3338fm83G9OnTaWlpGbO/b6PF2vLCysjOnTuX/v7+hLLV1dXV+P3+hDsWg7noMxbWyHo8HqqqqojWL8DpdNLV1TUmSp+T0dfXh9/vJzc3l76+vnGbVR7vJuJrSktLCytXrkx4j+XI0uLy8nKmTp06KCPr8Xhobm6OuzRh8WJTZPbZz3425pjIQHa0/3arqkyDpxi9qAaw1jRmarvq7u7B+9tC5jPFIjHd3dDePrB8PSfHZNMz3Q17MoqZkQ1SmCznUky57GLgA611Rv5LaK0HXdrWWrdhMqHzh3hsP3B98C3eOD8mkL01gfk8jNkiaMJYt24dnZ2d7LXXXsyaNYvS0tIxk+GM1rE4nFKKnp4eCuLVFI0BXq+Xuro6ysvLaW1tpbe3l/x47RUngJqaGjZs2EBWVtaA8jRrj8Pp06dncHaZ5Xa7ycvLCwWuhx9+OC+99BLV1dUxO4Raku1YDGNnH9nW1taYFRTW3Pr6+sb833O48IZzTqeTmpoaSkuj9RkUI6W3t5dly5bxqU99akJ97+vq6ujq6qKpqSmh10uPx4PNZsPv99PR0UFZWRlZWVmsXr06NMZut4cuGMVrQLlkyRL22WefuM9rrcHt6uqisLBwVF9bGhpg0yaTiU2mAKK/H4Lx96jq6oreiCory2SKo20bJMYOq8lTND09kGDRhEiTeH8q3wAO0VqXa63P1lr/Vmv9bqaCWDE6AoEApaWldHZ28sEHH/DOO++wc+dO2tvbaW9vp6Ojg87OTjo7O0e9mclQXUxzcnLGxTpZqwTabrdjt9sn/J6ZLpeLDRs2UFpaSklJyYD78vPzo+6ZOlkEAoFQMNfa2opSijlz5gCJdS7evn07drud2bNnJ/yc4YFsJhuO1dTUxA1Stdah5lfjRUtLS2gNf2FhYWiPXzE6/H4/H330ET09PdTVjfh296PG7XbT0tLC1KlT2bp1a0KVFNa2Xp2dnfj9fsrKypg2bRrd3d2hCy42m41AIBD3eC6Xi5UrV8bNxsLAjKxSKuHM8XB1dsKqVVBebpo4JSMTf5o+n8kGxwqEpHPx2ObzQXU1RFsRZreDFOGMvpgZWa31X0ZzImLsUEpRWFhIYWEhXq+XLVu2EAgEBjWHycvL4/jjjx+1NWCxOhaHz2c8BLI7duwIncDn5eVRV1fHzJkzMzyrkbN7925sNlvUbRvy8vJoamqiv7+f3NzcDMwusyL3eiwtLWX69OlkZWUlHMjOnj077vq2SNY+spnMyPb19dHW1saUKVNijsnOzqatrS1up9SxpqmpKfR7rJTCZrPR2NiY1IUGkbrt27eHKorq6+s58MADozYHHG/a2tpQSuF0OmlqaqKtrW3I3gJWIGvtIVtRURF6vWlsbAz9D/L5fHG/R8uXL8fj8XDsscfGfb7wQNZms4X2px1pdXWmrDOJl0DABB29vdHX07pcpkz5gAOSy/AmIlajp8gxk/Df4bjQ3Gwy5tEumuTlmfuT6L0o0kCKF0RcWVlZlJeXU1lZSUVFBZWVlaG33t7eUc2YxOpYbHE4HLjd7jG9/2RPTw+dnZ2hk93c3Fw6OjombNbG7/ezffv2uA2twhsdTTbR1rHZ7XZmzpyZcCCbzPpYML9zXq83lA3OhObmZuxDpE9yc3PH1e+Fy+XC5XINuKhQVFREVVXVuFvrOx61traybds2ysvLsdlsKKUmTOfourq60BrWvLw8duzYMcQj9pQWW4GslZGFgVvwBAKBuEtbFi9eTG5uLp/61KfiPp8VyHZ1dY3qRbL2dnA6k39cdrZ5bDR1dbB2rSlZTrdE/tVLRnbsqqqKXY7udJqMrOysOLokkBUps9lso9rMpLOzM2qjp0hDbSWQSbt27RqUmVRKjcumMF1dXUNeyGhubg41M4olPz8/oaBtIgrPyFqBLOzpXBxPX18f9fX1SQeyzuBZn8fjyUhpsdaa6urqIde+5uTk0N3dHbdEccOGDQPWpWZStHlkZ2fjcrloj3XGLNLC5XKxatUqiouLQ2uuCwsLqaqqynhn7uFyu920traGAtmCggKam5uH/D9nZWSti0Hl5eVRA9kZM2bEvECstWbJkiUceeSRQ/7vjWz2NBr8frMmMYHTgkFycqI3VvJ6TbAybRqsW5f+oLK/P35GVrbgMdauHXtluq2tppQ91oUTpUxpuPz8RpcEsiJleXl57N69e1SeKxAI0NvbO+Q/07G8TtbaO7UofAdtTOZp165dGZpV6tatW8fq1atjBkNaa7Zv3x46wYnFykqPl47T6RQtIwswc+ZM6urq4gaaVVVm17Nkt6ixAlm3252RTGF3dze9vb0JlXzGWyfb09PDtm3b2LRpU7qnmJK2traoJd65ubns3Llz9Cc0SWitWbduXaj01pKTkzMhOke3t7cPanKYlZU1ZG+ByP2py8vLqaiowG63Dwhk46murqa+vn7IsmJrTk6nc1QDWav4KpXy36wskx2NfIltaDClo06nCUq2bh3+PMN1dcUPvMdj5+J0B/udnbBtm2mqNFZ4vfDRR9HXxoZTavz9/MY7CWRFynJzc2ltbR2VtTAulyu0Tjee/Px8GhoaxuRV+La2Nnw+36DsZH5+Ps3NzaPWHCMduru76ezsDO2HG411fyJrX61mR5ONFaha+49agezs2bPxer1xTzhT6VgMmQ9kd+/eHTdDH85ms8UMZK0trKw1g5nW3Nwc9Xe9oKAgtA58NHi9Xnbs2DHqzfgypbq6mqampkGN5MAEs+O92qO+vn7Q1jjFxcXU1NTE/RlbpcVtbW1kZ2eTn5+P3W5nypQpCQeyS5YsAeJvuxOuqKgoI4FsqrQeeAy/3wSu1q9SWZlZK5vOgorOzqED2XR8C2tqRr7E1e+HDRtg0aLh/yzCbd0KRUWmxHuslOlu32621hmqjN3pNOtkxeiRQFakzGr+1DkKO4tbzWmGYm3wPha7ne7cuTPqXn3WeqLR+D6mS11dHVlZWZSVlbFp06ao3+/q6uqEG60UFBSM+xNOMBnWdevW4UlwMzkrkO3u7sbr9Q4oLYb4nYu3b9+O0+lMeuui8NLi0Q5kA4EAtbW1g6oSYsnJyYl6gcPn84WqGwoLC9mwYUNG16F6vV66uroGZAQtVtOn0apeaWxsZM2aNbz33ntj9qLeUKxOu0PZtWsXGzZsiNn4qKioiN27d496UL958+a0lJNbe7xGrmG11gDH+p3SWuPz+UIZ2fLy8tD/z2nTptHY2JjQ8y9evJh999034deYgoKCUQ1ku7qS71QcKXzNanOzyS5ahRVKmYBq7dr0BFRax95D1mJliofzctbVZbKHIxlQud2mW3R1tfm6Nmww74erowOamszFBL8/veXFHR0m6N69O7mfZ3u7KTdPZFud3FxTgjwOX3bHLQlkxbBkZ2ePSkON3t7ehLsj22y2MRcU9vX10dLSEnNdYE5OTsInF5nm9XpDwYjD4SA7O5sNGzYMOGHu7+9n165dCQcsTqczoTW3Y5nWmo0bN7J58+aEs8tWFj68/A8SD2T322+/pPd5zmRGtqOjY8g10+GcTmeoWU24lpYW/H4/DoeDvLw8urq6Mvr309PTE/f1qaSkhG3btlFVVRVa3zgSFRhWOf+UKVPIz89n5cqVrFq1akw3wIvkdrt5//33ef/99+mKUaPn8/nYsGEDq1evpry8PObvk1IKpdSo/m74/X527txJdXX1sI9lBcPRfreKi4vZvn171IDf7/eHXo9bW1spCzsDnzZtWkIZ2f7+/oS23Qk32hnZVBs9WZQCa0WL1rBliwlcw+XmmjFp+HHi8ZjnGeolW+vhbQ1k7Ty1bdvIBFTd3fD++yYwnDIFSkuhsRHq64d/7G3bTPdfMD/bdBwz/Nh9fbB6Nbz7rjn2UAGtz2cuZBQWJra3r91ujjkJV0pljASyYlgKCgrYvXv3iF/17+zsTDi7l5ubm3Dp1GhpaGiIG3Dk5+eza9eucdHdtLm5Gb/fH+o6W1xcTEtLy4DswK5du0JZg0SFr+caj2pqaqitrWXKlCkJr4m0GrJYX3dFRQVgAtq8vLyYgazP52Pjxo18/OMfT3qeViDrcrlGvdlTXV1d1KxlLFlZWbjd7kEZ7qqqqgFrr0tKSti4cWPGyvM7Ozvj/n07HA7y8/PZvn07K1asYPHixSxYsIC33347rWs429vb6evrIycnh+zsbKZOnUp7ezvvvvsudXV14yI729TUFMooLl68eFCw1tvby7Jly0J/a0NdFLE6R4/W197V1YXf76ehoWHYmWCrfD6arKysUMY2kt/vD732Rm7VY2Vkh/rbX758OV6vN6lAtrCwMObFh5HQ0WGaNqXK6TSlvgBtbWY7nmgvT2VlsHmzuX84kglOU/3V8XigthamTjUBZ7r7zDU3Q7DinNLSPbeXl5vmWMP5HnV0mONbL+0FBSZ7mo7Va93d5tjl5Sb4zskxWet33jHfr1j/OnbsMEFplGK6uEai4ZPWw1t/6/OZIH4c/BtIigSyYlisUt6R7hza0dGRUMdiME2oWltbM9KRNZpAIEB1dXXcLWgcDkeoPHEs01pTVVU1KNNaWlrK+vXrcblc+Hw+qqqqoq5Zi2c8dy9ub29n/fr1oQC0o6Mjoeyyy+UasEWGdcKplIq7Bc+6devo7u7mM5/5TELz83q9oS2erBPj0c7Ier1edu/ePWS34mjCv5ddXV0DtrACU9Hg8XhG7PfH6/Wya9eumMFQS0vLkGvBnU4nZWVlA7YwszKo6VJVVTVo+UJJSQklJSWsXr16zFd9aK3ZsWMHhYWFFBQUUF5ezpYtW0LZ2cbGRhYvXozX66WioiKhC2XZ2dn09/ePWtOnpqam0P+q4TQe9Hq9NDU1xd0ap7CwkO3btw/6vYzMyIYHslOnTsXv9w950XDJkiUJbbsTOZ/R6iLudpsT8+GUFmdn7yld3boVYn2r7XYT4G7YYALDlhaTgdy1C3buTDy4cLsTDyJSDWSbmvZkffPyTElsOvh8JqP54Ycm0Ix8GXc4zPdz/frUy6K3bh24f67NZo6VjmC8pmZgSXdOjglo8/LMnBcuNN+r8O+71XRqiC2bB8nJMb8j6VZfD0uXpp7tbWw0wbwEskJEGOl9QAOBAH19fQkHstaa07ESFLa2tg7aXzIah8MRtYxyLOnq6qK7u3tQVi0rKwulFFu2bAk1rkq0fNRidbwcK9upJMrlcrFy5UqKi4tDX7PNZksoaIjWWdQSbwuexYsXY7fbEw5krcZbkLk1sq2trQQCgaRLoZVSA8oV6+vro/4tlZaWsnXr1rTvydzZ2cmSJUtYvnx51MZmgUCAtra2pDLNlsLCQpqamtIy597e3qjrKcG8tpSVlWU0a52Izs5Oent7Q99LqzmRlZ1dsWIFhYWFQ3ZCj+R0OkflIpnWmvr6+tAch5MJjtatOFJubi5dXV2sW7duwIVb62fs9/vp6OgYlJEF4lYtaa1ZvHhxQtvuhBvNjGx///BPyLOyTFDQ1maCpTjXDCgqMmOWLYPly8360LVrTaZ2+XKTCR1KT48J+BKZVyrfRq0H7nNaUGACl+FWe7e1weLFJqirqIidBS8uNutDh2ioHVVkNtaSl7enVDpV/f1mTtFWOmVlQWWluW/rVnj7bfMz7ekxP9/8/MRKisPl5poLCulkrXsOBFIrtw4ETOn8GH75T5kEsmLYCgoK4m4f4/f7h9XZuL+/P6GOxeHC989Lh1RPRrTWbNmyJaEsVEFBwYiU//l8vrStGa6trY15YlNSUkJdXR0bN25MeG1spPDs5Hjg9/tZs2YNwIBApri4mOrq6iF/luGlxVlZWQNO0GfPns3u3bujNo5avHgxhx12WMIn9OEBZKbWyNbW1sbNLsXidDpDgb7X66Wmpibq75fD4UApFdqWaLis/W6XLFmCUoqpU6eyfv36QRdaent7UwrQYU8jqHRsGWY1YIv1OpmTk4Pb7aZuuGeFI6i+vj7q60tBQQGVlZVMmTIlqcDKUlhYyK5du9J+kSNST08Pbrcbh8OB0+mkt7c35TWjdXV1UZsDRqqsrKS+vp5Vq1aFXiusoLa9vZ1AIDBojSzED2Srq6vZtWtXQtvuhCsqKgr9PYy03t7kA4xI1r6fW7cmtta2vNwEPdZbRYV58/lMkBCP32/KZBN5nqys1EpTOzsHl0dnZ5tsZCrcblMu/P77JitdWTl0BryszGSuk51/rIx4fr4JChPsnxhVXZ35Wcf7fXE4zM+ytNSsh37vPfM1pPAvK9SwK10vNx4PrFxpgvzyclPunOwpdUuLmU8qW1WNdRLIimFzOp10dHREXQ+ktWbt2rVs3Lgx5eOn0v0xPz8/bV1Cm5ubWb58eUoBZnt7O52dnQmdkFglcOloeKS1pquri40bN/LWW2+xePHiYTfl8ng81NfXxwxSlVIUFxfjdrtTyk4BoSzGSJ9wpsuWLVtob28fVEadlZWFy+UaspzR7XaHth4K7ywKZi/ZQCBAfcTl15aWFrZs2ZLUSabVYRwGrpEdrUC2v7+flpaWYQWyWmuam5vRWofWZ0cqLS2lurp62A1n3G43K1euZP369ZSVlZGfnx9qLLVmzZoB2a/u7u6kLrJFGm7mDkyAH22P6kilpaVs2bJlTG7N4/V6qauri/v6kur32bpgMNK9E1pbWwdc0MjKyhr09xvJ7XYPypInUlZsUUpRWVlJe3s7H374If39/aHfT+tibrKB7OLFiwGSDmQLCgri7v2cTh0d8bv/JqOtbXAmMBllZSb4iXU9SmvYuNFkRhNZa5nqFjw1NYOzpUVFJhuZ7L/UxkYTzO3aZUpwE9hFDzABYV6eyR729CSWNW9vN9+7aNf7rYsNqbbP8HpN4JfoSie7fc8Fi2DLipSlo7hMa1P67PGY76vdbrKrybyUWRdrhvM7PpZJICvSJlrWb9euXdTX11NXV0dfCoX93d3drFu3jtLwrgIJyMnJobu7e9gnbG63m48++oiGhoaUMoVVVVVJnbzb7fa4a/GG4vF4qK2t5b333mPx4sXU19eH1sitWbNmWN1LGxsb0VrHzTw5nU6mTJmS8nPk5OSgtWbFihUJb2GTKU1NTVRVVYUaNEXKzs6OW6kAhDr4Rq5jA5ORhcGdi5Pd29Hv9w/4mVlrOUczkG1sbIwZfA7FWj/ucrkGNXmKZLPZyMvL4/333095PWhrayuLFi2ivb2dqVOnDiiRt7YXCc/6Njc3J9yILpqcnBz6+vqGVZLZ2NhIIBAY8ntsfS3pXJebLtZFilQy24koKSlh69atI/q6Ul9fP6D6pqioiNra2pjl3F1dXbzzzjssWLCAd955hzVr1rBz507q6+uHLCuOVFZWFur4bP0vtgLZ8NeogoICCgoK4gayS5YsYd9992WvvfZK+PmB0EWI0VgeMtxGTxan0wRpw8lUKWUCpY8+ip45rK42QWaigVFWlsmsJrOs2+02JaeR14FsNjO/ZAoxOjthxQqTjSwvT/57U1BgSrYXLYIFC0wZdn29Cc7dbnNfT495nrY2k82Od5qUn59auTKYLHggkFhJdzilhvc7kZcHmzYNv1FVdbX5GsJPD4qLTZl3ov++29tNaXKiFyPGGwlkRVo4nc5BJ449PT2sXbuWiooKHA5H0iVtXq+XVatWkZubO+T60liGc3KotWbTpk0EAgFKS0vZvHlzUgFmV1cXzc3NSTW3sbbp2LhxY1JBRk9PDxs2bGDhwoWsX78+tLastLQUu91OTk4ONpuNdevWpRS8xGryNBJKSkro6+tj1apVY3Y9n8fjYe3atZSWlsY82SwsLKS+vj7u1xCZkQ03c+ZMIHogW1lZyQEHHJDQXN1u94ALQVbQ5Xa7R6UhWiAQYMeOHcP+3dm1a1fU9dmRCgoKyM/PZ/ny5Unt6ev1etmwYQPvv/8+Tqcz5sUzqwGRtYYxkUZPQ8nOzh4ycxeL1TAq0e+vlbUea2vRrSZPI8XhcIT2MR4J/f39g/YSttvt+P3+qMtcPB4PK1euJDc3l8rKSnJycujo6GDLli1s3Lgxpe9FcXExdrudrVu3opQKXXwti9gAM94WPH19fUlvu2Ox5jzSv1t+/9D7sSaqsDA9mSqn08xr8+aBtzc3m1LbiorkAqOCguQaJzU07AlaI5WUmLWziQRVXq/pbFtYOLzvb2mpyWoWF5sgat06E9guXGi2vlm0yDQu+uADE9DGO03KyzMZ2WSzyn6/CfiS7DuZFlYwv25d6s2v2tvN705ks6nsbPO9SDRLXVWVfNfl8UQCWZEW+fn5NDQ0hIIkv9/PRx99hNPpxOFwUFJSwo4dOxI+qdRas2HDBlwuV0pdTsGcsA+nnLaxsZG6ujpKS0vJzc2lu7s7qePt2LEj6fVcVgC6c+dO1qxZEzcI0lrT1tbG8uXLee+999i1a1eoK2q0k/2SkhKam5vjbg1jnUg1NTXR19cXCtw7OjpC23qMhrKyMjo7OweVcQ6HtaWHx+Ohv7+fnp6elLMz27Ztw+/3x/1+xDuJBRPgWWsrowWyxcXFFBcXDwhkfT4f77//Psccc0zC2RqXyxXaa9PaNik7O3vU1si2t7cn1OwsHofDEXP9ZDQ5OTlMnTqVXbt2sWjRoiE7tLa3t7N48WLq6uqYOnVq3GDZZrNRXFzM6tWr6erqwuPxJN3YLFJhYSF1dXUpXbhpa2tL6m/TZrORk5PDlqEW9Q0hEAjQ0dGRluY+XV1dg4LAkWBdKByJ0uqOjo6of5P5+fns2LFjwG3W/zev1xtadpKVlRXq1DxlypSUL47k5+eHqnCs157I15Z4geyHH36Y9LY7ltEKZK3CorG23q+szGQOrdOE7m6T2SwtTb67cn6+CQATue4SCJhgJda1LIfDjEmkSGXLFpM1TVfgY7eboK6iwpQoh68xtt6G6gpsrW+NVhRndTWOFqQ3N5uvZRj/eoalvNxcYEi2bYO1zc6qVeZCQLR/LwUFplx4KF1dscu2J4rh/fcVIshut+Pz+eju7g5t1N7V1UVlZWXofq01u3fvDpVMxlNXV0d9ff2wylSt4Prggw9Oem1Vf38/a9eupaysLPTYoqIiNm/eTGVl5ZDlb319fezatSv09SfDaizT3NzMihUrmDt37oCT1L6+Ppqamti5cyf9/f3k5eUl/H2qqKhg06ZNlJaWDsg4+f1+qqqq2Lp1K1lZWaE1e9nZ2ZSXl+P1ekf8JDNSeXk5zc3NrFu3jkMPPTTlksNAIMDatWsHrJm21oxmZWVxxBFHJLVVUHt7Ozt27GDq1KlDjs3Pz6e6ujrqz8cK0H0+H+3t7VFLlGfPnj0gkF27di09PT1JrV3z+XwUFhbidDpDgazT6Ry10uKampphZyxzc3NpbGxk1qxZCT9GKUV5eTkul4tly5Yxc+ZMSktLycnJISsri+zsbOx2Ozt27AhVGySaBcvNzaWvr29Ya//DWRc9WlpaQmsYE7Vjx46E1uCHKy4uZvfu3bS1tQ3K1sVjrb1vaGigrq4Oj8dDXl4exx9//LBKgmN1ok43qyFYdXU1Bx54YFqPvWvXrqi/5/n5+TQ1NdHb2xtaZlJbW0t9fX3SP+tEWd/L1tZWcnJyBv1+TJs2jbVr10Z97OLFi8nLy+Pwww9P+nmtqoDhrlEfyjBWyIwoq8R47Vr49KdNg568vNQzm2VlZm1tZWX8wLK93WTo4hVlFBebwGf69NhNjxobzXZCCfxrG3X5+aY8e++9zeeBgAnQNm0ymU+7HWbOhBkzzPdBa5ONHYUisrgqKkyWvrAw/vfV4zGZ6aYmE/x6PKYUONZpV16eGdvZaX62sVRXp28t+VglgaxIG6v7qt/vZ+vWrYNO3ktKSti+fTt777133LVcnZ2drFu3blDzm2RZe9z29vYmldXVWrN+/XpsNtuADJDT6aSpqYmmpqYhT0Cqq6vjdhBNRHl5Oe3t7Sxbtoy5c+fS19dHdXU1bW1t2O32lLahsNvtFBUVsXr1ao499liys7Pp6upi7dq1dHd3DwrSrY7Hbrc7qRPedLE6cmZlZXHQQQel9P3csWMHu3btihpMulwuli5dymGHHcaMGTOGPJbP52Pt2rUUFxcnNBfrJLa/v3/QSW5HRwda69D7yKwJmC14li1bFvp8yZIlSW27Ayagy8vLCwWvYAKx0QhkXS4XDQ0NKV3QCZebm8vee++dUrDkdDpD1RnR1p9bzXKSPXZZWRkNDQ0pV4xEsvZRTia46enpobm5OaULfkVFRWzcuJFjjjlmyK/d2gt7x44duN3uUIdth8NBU1MTra2tKf+MfT4ftbW1Se87naqSkhKqqqqYOXPmsC+wWLxeL83NzTHXy1vbce233350dnayfv36mGPTqa2tLer/0WnTptHZ2UlfX9+AINfaduczn/lMShcWrP9HI93sqbt7ePvHjqScHLP+c9kyEzAOp2zZ4TDZxE2b4FOfip2B3rlz6PWP1p65W7bAfvsNDm76+80a37KysZfphj1b2vT2mrlu2mR+D4qKTKbX7zfrcHfuNN/zvfYy2chMB+U2m/merloFxx478PfB5zNZ5upqs1YYzO9PQUFia3pzcszXO2dO9Pv7+sza6GH++x3zpLRYpE1+fj719fWsXr2akpKSQSdHWVlZuN3uuFtNWN1CCwoKhl2uB+YEItmtZ+rr62lqaop6YmVlZeMFAG63m+rqaorjXSZLUGlpKX6/n8WLF7N69Wo8Hg9TpkyhvLw8pW0owAQFPp+PDRs2UFVVxeLFi/H5fFFP5h0OR6jcbThB+XBMmTKF6upqVqxYkXSzqubmZjZt2hQ1SAQT5JSVlbF69Wq2bNkyZGBXXV1NX19fUifANpttQEm6y+Vi7dq1fPjhhxQVFYXWsUWb48yZM2lubg41Slu8eDFz5sxJOHiymufk5uaSk5MTygJbW7G43W527949rO2x4mloaMBms6Xld2c4rwdKKUpKSqioqKCysnLAW0VFRcpb5+y1115pW9eZn59Pa2trwk3xtNZs3bo15deBvLw8urq6qK6ujlu+b+2TvHHjRvLz80Nr762fR0FBAVu2bEm5QV1LS0uoUmA02O32UCY+XTo7O+M2ZyouLmbnzp24XC5WrVqVtv9vQ4m2ZAH2dC6O7Guxbds2Ghsbk+5WbLH+FmJlZNN13aytLbFtbDKlrMwEiolcmxnqz6akxDT7ibWqqa3N3JfIv4TycpPVfOcdU7Js/dkHAmYtp802trN3djt8+KFZVwsmgLV+D+x2U8I9ZYoJxLduzXw21pKdbTKoy5ebUufOTpNpf+stE+C63WbeU6bELiWOpqjIdJWO9S+jttYcayxemEgnCWRF2jidTtrb2/H7/THLUAsLC9m2bVvUkx6PxxNaE5lsqVwsubm5SW250NPTE8oGR+N0Ounr64vbEbWurg6bzZa27ptFRUVMmTKFysrKtH1fysrK2L17N5s3b6a8vDxtWaWRoJRiypQpdHZ2smjRooS70fb29rJq1apQw6tYHA4HU6ZMYdu2baxatSpmUNfd3c2WLVuSzkwXFhayc+fO0FY67733Hg0NDUyZMmXAHqnRfuesMvza2lqam5vZsmVLUmvX3G43BQUFoXWR1hpMKztbXFzMmjVrWLhwIZs3b07r2rZ0NXmaTJLZIqa+vp5du3YNK5NZVlbGpk2bWLx4MS0tLYNel9va2li8eDGdnZ2DOjhb8vLy6OzsTGmbNICdO3eO+utPSUlJ6KJUOjQ0NMRdo2xdxLUuRqbrdXwora2tUV+vYm3Bs2jRIgCOO+64lJ4vLy8Pu90e9XVEa7MfaarbqIRLV8fikaJUYoFlWxuceKJpfBRPaalp/BT+r6m725QuL1tmniuRYMXaWqaoyBzv3XdNOXFNjckMZqIpUjKKi83XMHVq/Ay002mykGOpS29+vrlw8PbbsGSJyR6XlJjgNZW9asH8zO12c6xwXq8pN9+5M37Z8UQhpcUiraZNmxY3aLDWurW3tw/4B9vb2xvaciXZrXbiycvLC5U7x5tXV1cXtbW11NTUkJeXF/dqeXFxMZs2bWLKlCmDjun1etm+fXtasrEjbTjrjzOhpKQEj8fD8uXLmTVrFh//+MdjZqO8Xi+rV68mOzs7oSY4NpuNqVOn0tbWxqJFi5g+fTqlpaXk5+eHsq/r1q0LnaglIycnh87OTpYsWUJ3dzelpaUDyvasQDbaCae1JrSmpoZNmzYBye3t6HK5QiXTTqdzUCDrdDpDa2dra2upqqqivLycQw45ZNgn2x0dHbhcLglkk1BcXEx1dTX77LNP3Ath1gW34ZanWhdxXC4XH3zwAZWVlXziE58gPz+fnTt3smnTJoqLi4dcH5+fn8+2bds46qijYo7p7++nu7sbn8+Hy+XC7XbT399Pa2vriK0VjcVms5GVlcWOHTv45Cc/OaxjBQIBdu/ePeRrfl5eHm1tbQmtrU+XtrY25kSpO4wXyH7iE59I+fdKKUVBQUHMC2KdnSabdvjhqZd8ut2mJHOslhYnY/VqUyq7eDHEu3ZglStv3w6zZpnmQbW15vZU/o07HCbQc7lMMyq/P7XjjDaHI/ltdMaS0lLzu5vOr6GkxOyTm5trgte2tj1ryJ3OifF3MpRx/CshxqJETvLz8vKoqqoKnbi3tbWxYsUKsrOz0xrEgvnHGggE6OrqGnTsQCBAW1sb27dvp62tjezs7ITKDK1tEhoaGpgxY0aoyVV7ezsNDQ1orUelbGwyys7OZurUqezevZuWlhYOPvhgCgsLB63z2rhxI729vTEz67FYezHW1dWFSg9tNhv5+fl0dXWlHPwXFBTg9/ujPj5eRtbagqe6ujq07nz//fdP+Hm9Xm/o9z47OzuUccvNzR1Qpm2320PjOjo6WLVqFUcfffSwyj1rampGvUHYeJeVlUV7ezsdHR0xM/9+v581a9aQm5ubttcZ64JGV1cXixYtCgUjFRUVCf0OFBQU0NjYSGdnZ9SArr+/n6VLl4a6hFvlvXa7fVTWikZTUlJCTU0Ns2fPHlZGuKurC5/PN+T3ydq/dbT4fD46Ojqivq5Y/+fCA9mOjg7Wrl3L/Pnzh/W8hYWFMQNZqxnS8uVmXZ/VuCcZY7XRUyqsflsx+m4NUFpqAtmdO8262crK4ZeMOp3mTeuJX346VqT71NBuN2/r15sLG07nxO5QHI2cbYtRV1hYSFNTE93d3XR1dfHRRx9RVFQ0Yie9drud6upqGhsbcbvdeDwePB4PfX19+Hy+0LqvZJSWlrJhwwZqampC66Psdjv5+flJB08iOeHdaFetWgWYIM0qv+7t7aW2tjblzEdOTs6ALG4gEMDj8QzrhDtedrOtrW1A5jdcbm5uaDumZcuWcfLJJye93tQ6bngW2FoGEI21TdOWLVs46KCDknoui9XkKVNByniWk5NDVVVVqEFXpO3bt4cas6Wb1bnZ5XIl/ZrodDrZsWMHc+fOHXC71+tl5cqVACMy51QppcjOzmbTpk0ccMABFBUVpbSWu6WlZUxeuIzXRM7hcFBZWTkgkH3//fcJBAIplxVbioqK4i5RyMoynVzXrDHZqX32Se74vb3JB12dnXDvvebjX/wiuceOpHXrzPutW02AHq8U1mYz3zebLXbX4VRJEDu+jfWS8JE29l59xaSQlZXFRx99REdHBxUVFSmdCMRrrhGuqKiI5uZmbDYbDocjlAmwNo9PRXZ2NtnZ2QQCASoqKjLWCGkys7JIYLIPTU1N1NXVobVO68/EZrONaGaxpaUl7sWPWbNm8c4779Df35/S3o5WEB3+NxbewTiaioqKUNVEKhcEGhsbUUrJ30UKioqKaG9v55133uHAAw9k5syZoZ9dW1tb1I7w6aSUSqmbb1FREbt372b//fcPZR4DgQDr1q1LqTpiNBQXF9Pe3s6SJUvIyclhxowZTJ06laKiIrTW9PX10dfXR1tbG21tbbjdbnJyckLN03Jzc6mtrR2TPQasJnKxMvuRe8kuWrSI0tJSDj744KSex+PxDOjQH6+02GKVtlrrPmfPNlklm23ooKqjI7mGRIsWwa23mjWgSsEPfjA2MlY+H2zYYEqFa2pM85+hdjwag9dLhMg4+bMQGWGdQEyZMiWlpkg//OEPsdvt3HHHHUOOdTgcI7J1zFg8eZmsHA7HuFiXHE2szqKWmTNnsnz58qS33fF6vQPKT609NGHoQFYpRVlZGWvWrOHYY48N7X+ZCK11aF9WkTzre+/z+di8eTM7d+7koIMOoqSkJGZH+LFAKUVWVhbV1dWhdadbtmxh9+7do7ouNBnW9xr2bANUVVWFw+EY0Mk5KyuL3Nxc8vPz8fv99Pb20tnZGRqTaufokdQW3M8jXiC7LpgS9Pv9LF26lOOOOy7p363GxkZKS0tD/w+LiooSalhmt5t1mdu2mTWfVnmrUiZrO3UqHHTQ4MA20UZPPT1w993w0kuw//7w5S/DH/5gsqBHH53Ulzgitm0z630vuQR+9zuz9U0KW/cKMelJICsywmazpXyFvq2tjXfffRetNY2NjWP2JEmIRLS2tnLAAQfEvN/qXJzMtjtgynvD/8YcDkfMNbLRZGdnhyonjjrqqISrF1pbW6XJUxpY5Z9ut5tVq1aRlZWF1npMrzsuLi6mtraW/fbbj+bmZrZv3z5umso5HI7QOnG/3x9z26ixWEYcjRXIxirvnzZtGm+++SaBQIC1a9fS2dmZdFmxx+MhNzc3tPYZ4q+RjWSzDW4yFAiYt507TQbywAP33Of3mwB1qFOH5cvhllvMtjRXXAFXXQUeD9x/vylpHguB7EcfmffHHw9PP72nzFgIkZyxd1lXiCG89dZbBAIBtNa88sormZ6OEMOSSEYWSLqs2O12D8jGJFNabCkqKqKzs5OtW7fGHKO1pru7m507d7J48WI+/PDDpDK4kcfq6OhI6bETVU5ODlOmTCE3N3dEKkvSydp2bPPmzaGuymMxezwUu90+7sviEykt9vl8tLa2snjxYux2O0cnGeH19vaG9jq3FBYWxtxHNhE2257S461bTUBr6e83QW68H01LC3z3u6b8+LHH4JprzMcFBSYzu2ZNylNLq7VrTUA+bRoceqj5PMWtmIWY1MbHpUUhwrz55pvMmjWLiooKXn75Za644opxf9IhJieXy0VPT0/cQPbwww/n1FNP5cwzz0zq2FrrAU2m7HY7NpuNQCCA0+nE6/Xi8/mGzDCVl5ezfft2nE4nWVlZ+P3+0JvX66WhoQGXy4XNZqOgoCDlDNyuXbv43e9+x+LFi3n88ceHvS3KRDOWM7HhrG7AqfY+EOnR1tZGbm5uzEZz4VvwLFq0iDlz5lBYWJjUc/h8PioqKkKd18EEsl6vN6ELZfHYbHvW0WZnw/TpJpAd6l/9c8+Zdbf33mvWn4abMwdeecVkdjO9Lcm6dSaAVcq8f+UV2LULgrulCSESNP4ulYpJzdqq55RTTuGcc86hpqaGNWPlEqsQSbLK/+IFsoWFhfz2t79NKUCMPInNycnB7/eHgiK32z3kMaxlAJs2bWLdunVs2rSJbdu2UV1dze7du8nLy2PKlClUVFSkFGz5fD7+/ve/c9FFF7FixQqUUrz77rtJH0eMDXa7nRkzZiS0f7MYOa2trXEz+FYgu2bNGrZu3Zp0WbHVbLGysnLAhWQrGO7q6kph1gPZ7aZT7+rV0NoK3d3xA1CPxwSyxx47OIgFOOww6Osz61MzqaPD7AN7yCHm80MPNe8T2YZHCDGQBLJiXHn77bcJBAKccsopnHzyyeTm5vLyyy9nelpCpCTeHrLD4fP5yMrKGhRMOJ3OAYHsUOtkLVlZWVRWVlJRUUF5eTllZWWUlJRQXFw8rKzbRx99xFe+8hXuu+8+PvOZz/Dss89yyCGHsHTp0pSPKcRE9PrrryfURMnS1tYW93XFCmSff/55gKQD2b6+PsrLywddLEtnIAumzNjae7axMX6jpzfegLY200ApmjlzzHtrfWqmWOthrQD2Yx8zW+9IICtE8iSQFePKggULmDVrFgcccAB5eXmccsop/O9//0v4hFyIscQKZNO936rb7Q41rgnndDrx+XyhQHa45X/D8eyzz/L//t//o7u7m9///vfcddddTJs2jaOPPpqNGzfKWlkhglauXMmNN97IPffck/Bjhlp7X1BQQH5+PjU1NUyfPp199903qTn19/ez1157YbfbycnJwefzAYSavKUrkAUTvObnQ0MDxCr60No0TdpvP4jV3H2vvfbsYZtJa9ea0mlrpyOHw3wsgawQyZNAVsS1evVq7rrrLl5//fWEOxGOlI6ODlasWMHJJ58cKmU6++yz6e3t5a233sro3IRIhdWQJd0ZWZfLFbWsMLK0OFOBrM/n45FHHuFTn/oU//znPznxxBND9x1zzDForfnwww8zMjchxhKtNffffz9gKpISzcoOVVqslAp1/D/22GOT7jMRCARCW54VFhaGOhdbGdnOzs6kjjeU3FxTLhyrtHjNGti0CS6+OPY6WqVMeXGmM7Jr15rGU+HbNR96KGzeDBm8tihS0NAgHaczTQJZEdXy5cv55je/yZVXXskzzzzDjTfeyCmnnMK1117Lv/71L5qamkZ9TgsXLsTv93PKKaeEbjv88MOZMWOGlBeLcam1tRWlVNTs6XAEAoGoW/WMlYzse++9R2trK1/96lcHdTg+6KCDKCwslPJiITDB69q1a7nyyivRWvPcc88N+Rifz0dnZ+eQF8is8uJky4p9Ph85OTmhv92CggK8Xi+wJ5AdTufiVPzjH1BUBGedFX/cnDmmqVJz8+jMK5LfbxpYHXbYwNsPPdTct2lTZuYlkldVBV/7GnzjG2ZbKJEZEsiKEK01K1as4Fvf+hbf/OY32bFjB9///vdZuHAhjz76KJdeein19fXcfvvtnHnmmTz99NOjOr8FCxYwc+ZMDgzbWE4pxTnnnMOHH37Irl27RnU+QgxXa2srJSUlI9LdNVq30pycHAKBALnBVECmAtkXXniBKVOmcMwxxwy6z+FwcNRRR7Fs2bLQvrfjhc/n45e//KVkk0Va+Hw+/vjHP7LPPvtw5ZVXcsIJJ/D8888P+XdrNZEbarumWbNmkZeXxxFHHJHUvHp6ethrr71CWdzwQHbKlCn84Ac/YO7cuUkdczgaGuDtt+G882KXHlusdbKZKi/euRN6e/c0erJIw6fxpaoKvvlN02DM7YY338z0jCYvCWRFyPz58/n+979PfX09N9xwAy+++CJf/vKXyc/PZ86cOXzve9/j+eef55///CeHHHII//jHP0btRLOjo4Ply5dzyimnDCqBOuuss1BKjaus7HvvvcdvfvObcXeink6BQCDTU8i4odaxpSIQCGCz2aJ2ELYC5kxmZHfv3s3SpUs599xzYwbwRx99NI2NjezYsWOUZzc8b7/9Nv/5z3/42c9+FgomhEjVyy+/zM6dO7n22mtxOBxccskldHZ28sYbb8R9nPW7N9Ta+yuvvJLHHnss6W7jXq+XysrK0OdOpzP0vyw3N5czzjiDWdHaBo+Qf/7TvL/ooqHHfvzjZs1tpsqLrUDVClwtZWVm651Mlz2Loe3YAd/6lilVf/xxU/L+6quZntXkJYGsCPniF7/ID37wA/71r39x8cUXR/3nppRiv/3240tf+hL19fVs2LBhVOb29ttv4/f7Ofnkkwfdt9dee/HpT3+aV155ZVwERz6fjzvvvJMXXnhh0mRuAoEAVVVV/Pvf/+aXv/wl559/Psccc8yk3zppJAJZj8dDUVERNtvgl/esrCwgs4HsSy+9BMC8efNijjn66KMBeP/990dlTuny/PPPU1ZWRk9PD7/97W8n9YUqMTwul4s///nPHHbYYXzuc58D4IgjjuBjH/sYTz/9dNzfLWvt/VAZ2ZKSEvbff/+k5mU9r9XUCcjoVkv9/fDvf8OJJ0KwUjqurCzTWClT/3rWrjUl0NHi/EMPNffLy8bYtWOHycQCPPww7LMPnHEGrFhhKgPE6JNAVoTMmzePc889l+zs7CHHnnjiiTgcDv73v/+NwsxMWfGMGTP4+Mc/HvX+c845h/r6elauXDkq8xmO119/nV27duFwOPjHP/6R6emMuOeff55TTjmFiy66iFtvvZV3332XWbNmkZ+fzxNPPJHp6WXUSASysRo9QeYzsj6fjxdffJFjjjmGvfbaK+a4vfbai9mzZ4+rQLa6upoPPviAiy++mGuuuYaFCxfyyiuvZHpaYpx65plnaGpq4tprrw1VISmluPjii9myZUvci4CJlhanwuVyUVJSMuA8IZOB7KuvQlcXXHpp4o+ZM8esRc3Eyoq1a01ZcbSGVIceCi0tZpshMfbs3LkniH3oIRPEgglkAV5/PROzEhLIipQUFRVxzDHH8L///W/Es6AdHR18+OGHUcuKLSeddBL5+fljvrzY7/fz2GOPceCBB/K1r32NRYsWUVdXl+lpjZjNmzfzu9/9jv3224+bb76Zf/3rXyxYsIB77rmHCy64gHfeeWdCf/3xaK1HJJD1er2hbqKRHA4HSqnQGtnR3rZq6dKlNDU18cUvfnHIsccccwwrVqzA7XaPwsyG74UXXsBut3Puuedy6aWXcvjhh3PnnXeye/fuTE9t0vD5fKxbt44tW7ZkeirD0tXVxeOPP85xxx3H4YcfPuC+M844g6Kiorg9KkZqf2qA3t5epk+fPuC2rKwslFKjXhFlbbnziU/sWfuaiMMOM42VRqmgLKSnx2T0IsuKLbJOduxqbDTlxGCC2PDdqvbe2/xOvfqqZNMzQQJZkbJTTz2VxsZG1o7wq+4777wzqFtxJKfTyRe+8AUWLFhAX1/fiM5nON58801qamqYP38+F154ITabjWeeeSbT00paZ2cnf/vb3+JuyeR2u7n55pspLi7m97//PfPmzWOfffYJXYwYz19/OvT09ODxeNJ+sqm1jtroCUwgq7XOWEb2hRdeoLy8nOOPP37IsUcffTRut5vVq1eP/MSGye1285///IcTTzyRiooK7HY7v/jFL9Ba88tf/nJcLHkYj/r7+1m2bBkPP/ww3/rWtzjxxBO5/PLLueKKK2gcx2mtxx9/nJ6eHq699tpB9+Xm5nLuueeycOHCmFvxtLW1kZeXF7pglU6BQICSkpIBtymlBjR8Gi3Ll5vA8JJLYm+5E43VMXi016OuX28CnViB7IEHZnb9roiurw++/33z/o9/HBjEWs480zSA2rx59Oc32UkgK1J2wgknkJ2dPeLlxW+++SYzZszgE5/4RNxxp512Gi6XiyVLlozofFIVCAR49NFH2Xffffn85z9PZWUlp556Ki+99BK9vb2Znl5S/vSnP3H//ffz3e9+N+aFg4ceeojt27dz8803DzrxAaisrOQLX/gCL730Usb3KE6XZcuWsWDBgoTGWlmToRqyJMPj8ZCbmxt16x3Yk5G1ygJHM5Btampi0aJFnHPOOQl1aT7iiCNwOBzjorz4zTffpLOzkwsuuCB024wZM7j++utZvnz5pL1Yk4pFixbxxBNP4PP54o5bvnw5Z599Ntdccw2PPvoo3d3dnHfeedx0001orfnTn/40SjNOH7/fz/vvv88zzzzDGWecEXP96oUXXhh3K56RqPQAk/HOysqK+vqSiUD27bdN4BfnGndUJSUwe3bsdbKrVsFIFAqtXWsC7siOxRaHAw46aPzsS6o1PP88jINrjQB0d0Oy1xT9fvj5z2HbNvjtb83+v9Gceqr5+b322vDnKZIjgaxIWUFBAZ/97GdZsGABfr9/RJ5j9+7dLFu2jJNPPnnIDdvnzp1LSUkJb7/99ojMZbjeffddtm/fzhVXXBFqxHPJJZfQ29s75kuiw9XV1fHCCy9w2GGHsX79er7//e8PCohWrlzJk08+yZe+9CWOPfbYmMe69NJL6e3t5T//+c9IT3tEaa158sknufbaa/n5z39OVVXVkI+xGrKk84Szq6uL2bNnx/1bsYLYnJycUQ1kX3rpJQKBAOedd15C43Nzc5k7d27MQHbBggX85je/GfXy6Giee+45Zs2axZFHHjng9nPPPZfjjz+eBx54YFQ6MAcCAW666SYeeOCBIQPBscjlcvGrX/2KP/zhD1x99dUxM47PPvss11xzDWVlZdx333289dZbPPnkk/zwhz/k3HPP5ZJLLuGVV15h0zjYlDMQCLB69WruuOMOzjzzTK699lpyc3P5prUYL4rp06dzwgkn8MILL0QtvW9tbR2R9bF9fX1MmzYtaiO5wsLCUQ9kly6FI44YesudaObMMZnPyFLQBQvg6qtNlvff/05vqei6dSabF+M6I2CytZs2mW1dxro//xluuw2+852xv/9tY6PZY/hb34KOjsQfd9998N578MMfwmc/G3tccTEcd5xZJzsOX3rHNQlkxbCceuqptLS0jEj5n8/n48Ybb8TpdA7IdMTicDg44YQTeO+990b9H+pQtNY8+uij7L333nzhC18I3X7IIYdwyCGH8Mwzz4yb8sOHHnoIh8PB7373O375y1+ycuVKrr/++tAJVU9PD7fccgszZszguuuui3usgw8+mDlz5vD000+P2MWQkebz+bjtttu49957OfHEE8nNzeXee+8d8nEjsY4tEAgM2BYjmpycHHw+H06nc9SCwEAgwIsvvshRRx3F3nvvnfDjjj76aLZu3RoK+i1Lly7l5z//OS+88ALXXnttRjP627ZtY82aNXzpS18adAFBKcWNN95Ibm4uP/nJT+hI5gwqBa+99hqvvfYajz/+ON/73vfo7Owc0edLtxdffJG2tja+/vWvs337dr785S/z7rvvhu73+Xz89re/5Y477uCYY47hr3/9K5/97GcHZQivuOIKioqK+MMf/jCmO0f/5z//4eyzz+bKK6/kpZdeYu7cudx+++28/PLLg9ahRrrkkkvo6OiIuhVPW1vbiDV6mjJlStT78vPzR/XiSV0d1NTEDy7iOeww6OyE6uo9ty1fDjfdZILJQw+FW2+Fn/zENJMaLq33NHqK59BDwesd+yWqTzwBf/kLfOELpgvz978/tptUPf642e917Vr42tdMhnUozz8P//d/cPHFiW3tdOaZ0Npqfo/Sze2Gn/4U7rkn9WMEAhNzDa8EsmJYjj/+eHJyckakvPgvf/kLa9as4Wc/+9mQ/9QtJ510Er29vWNuW5slS5awceNGLr/88kFllZdccgk1NTUsXbo0Q7NL3JYtW3j99de57LLLqKio4PTTT+fmm2/mgw8+4IYbbsDj8XD33XfT0NDAr371q5hrNcNdeuml1NfX8957743CV5BeXV1dfPe73+WFF15g/vz53HHHHVx55ZUsWbJkyJ9nrEDW5XKldPLtcrkoLCyMWVZscTqd+P1+nE7nqGVkly1bxu7duxPOxlqibcOzadMmfvSjH/Gxj32Mm2++mXXr1vHtb397xIPEWJ577jmys7M5++yzo95fXl7ObbfdRm1tLd/+9rdHLLjs6+vjgQce4OCDD+bGG29kxYoVXH755eNmL16v18vf//535syZw7XXXsuTTz7JXnvtxfXXX8/dd99NS0sL11xzDc899xxf//rXueuuu2L+rhcWFnLVVVfx4Ycfsnjx4lH+ShJTV1fHb3/7WyorK7n11lt54403uOOOOzjllFMS2tfV2orn4YcfZuPGjQPua21tTeuShXCxGsklsttBOlk/1jgFP3HNnWveW+XFW7fCD35gGvfcc49ZC3nttaZ8+dJLTbkxmECgttZka2++GS67LLE1rXV1JnCOtT7WYt0/ltfJ/utf8Ic/mHLaX/8a7r0Xenv3rCMdDq3NtjYXXgjt7WmZLg0N5uc1b57JIns8cMUV5mcby7JlcMcd5kLJ97+f2PMcdxwUFkK6m9X7fCaI/d//TGCdatHh/febDPM4yZkkTAJZMSx5eXkcf/zxvPnmm1Gvxno8Hl577bWkMyYffvghjz32GPPmzeO0005L+HFHHXUUeXl5LFy4MKnnG0lWNnbatGmcddZZg+4/+eSTqaioiNuFcqx48MEHKSws5Ktf/WrotnPOOYef/exnLFmyhPnz5/PSSy/x9a9/ncOsjhpDOPHEE5k2bRpPPfXUSE17RNTV1XHFFVewcuVKbrnlFr797W9js9m46KKL2HvvvbnnnnviZihaW1txOBwD9mMEs5Y0lTXTPT09zJ49e8hxubm5+P3+US0tfv755ykpKeHEE09M6nEHHnggpaWlLFu2DID6+nq+973vUVxczB/+8AfmzZvH73//e7Zt28Y3vvGNQZnbdAkEAlEvLvT19fHqq69yyimnRF0HbjnqqKO466672LlzJ9/+9rfpSkeKJ8Lf/vY3mpub+cEPfsB5553HQw89RG9vL5dffvm4uEj02muv0djYyPz581FKMXPmTB577DEuvvhinnrqKc466yzWrl3Lr3/9a77zne9gt9vjHu/8889n1qxZ3HfffWOyzPoPf/gDdrudO++8k9NPP538/PykHm9l+wOBAJdffjmPPvooPp8Pj8dDV1dX1IzscDqA9/T0UFZWFnOrndHegmfJEpg507ylYtYsUw66Zg3s2mXKY/Pzzcl+cTHYbHD55fDYY5CdDd/4Blx3nSlP/eIXTbZ26VKzXc5PfjJ00GXtDDhUIFtZafbDHU6Rm99v3kbCK6/A7bfD8cebINZuhwMOMOtHt22Dn/0s9ecOBOCuu0ymd8cO87NIh8cfNwHy/PkmI/7EE6bE+4c/hEceMff19pqLBy+8AL//Pfz4x2Z7ndtuM2tfE5GdbdZrL1w4/IDeEgjALbfAu+/C9dfDxz9u5pRskP/vf5uvOyvL/G5PJBPsyxGZcOqpp9Le3s6KFSsG3O52u/nRj37ETTfdxDXXXJPwyVt7ezs33XQTs2fP5oYbbkhqLjk5OXz2s5/l3XffHTOlqsuXL+ejjz7i61//OllZWYPuz8rK4oILLmDp0qXs3Llz9CeYoNWrV7No0SK+/vWvDwq+vvSlL/GjH/2ITZs2ceCBB3L11VcnfFyHw8HFF1/MypUrx8WaNjCle/Pnz6ejo4MHH3xwQDYuOzub7373u1RVVfHiiy/GPIbVkCW8HNXv95OXl5dSyW8gEEgoC5OTk4Pf7yc3N3dUSnLr6up49913Oeecc5LO2thsNo4++mjef/99Ojo6+O53v4vH4+H+++8PlVAff/zx3HvvvdTX18ddV5mq6upqLrvsMubNm8dTTz014CLDG2+8QW9vL+eff/6QxznmmGO48847qaqq4pprrqG7uzttc9y9ezdPPvkkp512GnOC+5DMnTuXv//978ycOZPrr7+ev/3tb2l7vnTz+/08/vjjfPzjH+ezYbWi2dnZ3HDDDdx5550cfvjh/PnPf+YMa9PGIWRlZfGd73yHqqoqXnrppZGa+iDbt2/n7rvvjnuR6IMPPmDhwoVcccUVMUt1E3HooYfy9NNPc/LJJ/OnP/2Jq6++OrSLQGSlR19f37C2gurt7eWAAw6Ief9oBrJutynfPOaY1I9hs5ny4uXLTRDrdpvAadq0geM++Ul48kk45xzTlXbOHBO4PvssvPGGeUxHB9x4Y+wAbutWk7XcZ5/oHW8jnXQSvPOO2bc0FT/5iclopvmlkDffhF/+Eo46ygSz4QHescfCj34EixbB3Xcnf2y/31wcePpp+PKX4atfhZdeGv5WROHZWGvr8spKk5k94wyzlc4XvgCf+5wJdH/zG3jxRRMw3ntv/PXM0Zx1ltmfOB2tWrQ23+fXX4drrjHZ/1/+0jSt+u1vEy8TXrHCjD/6aHNBZqKRQFYM27HHHkteXt6A8mK3280NN9zAokWLOP/889myZQvf+ta3hiz/01pzyy230NXVxW233ZbS9gEnnngira2tI74tUCJ8Ph8PPfQQFRUVzJs3L+a4888/n+zs7DHb3VRrzf33309FRQWXXHJJ1DEXXXQRf/rTn7jvvvuiBuzxnHvuueTm5o6LrDTAnXfeSXd3Nw8//PCgfR7BlLgffvjhPPTQQzGDxWidRT0eD3l5eUmXFvf19VFaWprQ34u1RvaQQw5hyZIlI54Jf/TRR7Hb7Vx22WUpPf4zn/kM7e3tzJ8/n927d3P33Xezb8TZ4FFHHcUDDzxAa2srV111FR+lqS5v4cKFfO1rX6O5uZkpU6Zw9913c9ZZZ3H//ffT1NTEc889x/77759w9cGxxx7L7373O7Zu3co111yTtgsJ9913HwDf+c53Btw+bdo0HnnkEU455RTuv/9+HnnkkbQ8X7q99dZb1NTUcMUVV0RtVHbSSSfxpz/9iUOGWmAY4cQTT2Tu3Lk8/PDDo9YZ/q677uKpp57ipptuitr3wOfzcddddzFjxgy+/OUvD/v5ioqKuO2227j11lupqqri29/+NsCgjKzH4yE/Px9PCl2Eenp6qKysjLvu1m63k52dPSrZ71WrTOCZ6vpYy2GHmWzs7t0m+PrYx6KPy883a2dfeskEBBdcYAJSpUzAc8MNphT10UcHP7auzpQo5+aaoHeIQgLAlL3m5JggK1mLFpmMYG2taWzU1JT8McAESfX1Jli/5x648kqTbT3kEJOxjHbd4oILTLD1zDOmPHjrVpPpHIrPZy4EvPQSXHWVyXxfeSVMmWICueHkJB57zLyfP3/g7U4n/OpXJug/+mj49rfN78CLL5qLCA8/vCfwTcZhh8H06Yl3L25oMM+5adPAJlFamzLg5583lQFXXGFu339/E4y+9Rb8979DH7+21lxgmDnT/O4m8vs33kggK4bN6XRywgknsHDhQnw+Hy6Xi+uvv56lS5dy44038tOf/pS77rqLHTt28M1vfjO0NjCap556isWLF3Pddddx4IEHpjSf4447DofDkfHuxVpr7rjjDtasWcM111wT94p1aWkpp512Gi+//DJtbW1pnUdfX9+wS0gXL17MmjVruPLKK+Ou3/r0pz+d0tqsoqIizj77bP773/+OWHlourz99tv873//4//9v/8Xc3sMpRTf//736ejo4DHrP2mEaIGs2+2moqKCvLy8pE44e3p6mDVrVkJjrYsMP/zhDzn55JO5++67eTTaGVga1NTU8Oqrr3L++ecP2YQqFmudbG1tLb/61a/41Kc+FXWcFbD4fD7mz5/PjTfemPJeoj6fj/vvv58bbriB2bNn83//9388+uijPP744xx99NE88cQTnHPOOWzcuJELLrhgyI7q4Y4//njuuOMOtmzZwrXXXjvsv81Vq1bxv//9j6997WtMi0wnYV6ff/Ob33DmmWfy0EMP8fe//31Yz5duWmv++te/Mnv2bE466aS0HlspxXXXXUdraytPPPFEWo8dzbp16/jggw847LDDWLhwIfdHqY18/vnn2b59O9ddd11as5inn346Tz/9dOjvY2ZEza3X66WoqCilao+hsrGW0dqCZ/FiU8YZ0SQ8aZ/9rAlSf/MbiPGykpDzzjOZuL/8BcKbrLe0mEyazwcPPJB4YFRWZgLCBQuS6wbs9ZpgbNYsE4i1tcE3v2nmkYwnnzTrX8891wSv//qXKXG97DKzNjZe64vvfQ9OPNF8Ly691GQ6Tz3VBGM//7kJzl9+2ZROt7SYCxI33GDWf373uyZIU8r8XK67zjS9ev755OZv2b3bBMfnnTc40w7meS64wJRIz58PJ5wAM2YMr/TWZjOZ3mXLht7CqbbWBKi//jV85Svw+c+bgPqhh8zP8YknTGb9mmsGPu6rXzUl6r/7HTQ3xz5+d/ee9b333GPW705EEsiKtDj11FPp7OzknXfe4frrr+eDDz7g5ptvDjV3+exnP8u9995LbW0t3/jGN2gO++sLBAJs27aNf/zjH9x///2ceOKJXHjhhSnPpaCggKOOOoqFCxcOu2NlXV0djz/+OFu2bEn6sY888kioCdA555wz5PjLLrsMj8fDhRdeyJNPPpnyeiatNZs3b+bxxx/n6quv5qSTTuKUU07hlltuYdWqVUl/TwKBAA8++CB777130s16knHJJZfg9Xr51a9+xcqVK8dkt9Hu7m7uuOMODjjgAL7+9a/HHXvQQQdx1lln8Y9//IP6+vrQ7VVVVTz88MNUV1cPCmS93v/f3pmGx1FcC/tt7ZJlLZb3RZYXybswxthgCIYQtg9CbpwEshFILksSSEgCuUC4hIQAWSCEbBAgYU8g97KZBC6bMQQwBBvbYCMbg215RRptMxots9f3o6ZHrVbPaEb72Od9nn5mpqaqq7q6urpOnVOnghQXFzNp0qSkNUhmPSXr/dh0Npadnc1NN93EGWecwZ133skf//jHAa/zP//5z2RlZfVaV4kYO3YsF1xwAddffz2f6mXDyLlz5/L444/zjW98g5dffplVq1Zxzz33pCQsNjc3c9lll/HAAw+watUq/vznP8cExIULF/KLX/yCJ598ki984QssWbKE008/PeVrWrlyJT//+c/ZunVrUh6u4xGJRPj1r3/NhAkTEtZxRkYGP/7xjznllFP43e9+N6IsH9544w127NjB17/+9V7XvfaFhQsXcuqpp/LQQw+xb9++AT+/lfvuu4+ioiL+8Ic/8IUvfIGHHnqo216vbrebP/3pTxx99NEprxdPhokTJ3LHHXewevVqZjmoF8vKylLWyLa2tjJhwoSEa8BNRo8e3SeNb6qsW9f3bXeszJmjtZf9nT8xDK3ZmzFDaxbr67Wn48su08Lkb38LM2emds7zztNrdf/4x+TT/M//aE/OP/gBLFmi821oSE2Y/Z//0Sa1c+dqB0MPP6w1lPfeq4XU3oShzEwtYD30kNamXnaZFmwLCvT2Q/feq9d8XnghnH66Fh5fe02vSf3a17qf65RT4Oij4Y47+ub46d579b0xtZlDxdlnaw38RReBzQ9bjP379X0JBPT13XgjnHWWdgh2773wyCPaC/IPf6ivwUpmpq5Dv1+nc3ptmw6i9u3T96Ova8nTAWMkDhYPB5YuXao2DIaP7n7y2muvkZ2dnbJpaCAQ4NRTT8Xn8xGJRLj++usdHRtt3LiR733ve5SVlfH5z3+ezZs3s3Hjxpgnz8rKSv70pz/F9YyYLE888QQ333wzjzzySFIzyVa8Xi8vvvgizzzzDO9GXRoWFRVx1113JX2up556ihtvvJGzzjqL66+/PmmNzQcffMAf/vAH3nzzTSZOnMg3v/lNzjjjjIQDvNbWVnbs2MGOHTvYtm0bb7/9dkzrXVVVxbHHHovH4+GFF16go6OD8vJyzj77bE4++WQCgQAtLS243W5aWlrweDyEw2EyMjIwDIPMzEzq6+t57LHHuPHGG/s0aE+Fv/zlLzz44IO0t7czbdo0Pv3pT3PWWWf1ax2ZE0op6uvraWtrIxQKEQwGY8f06dMdNVsAN910E6tXr+b+++9n/vz5vebjcrlYtWoVS5cuZeHChbz44ovs3LkTwzBYsmQJ3/3ud1mwYEEsfkNDA8uXL0cpxb///e+krrutrY3CwkKOOuqopK7d6/XyxhtvxDSkkUiEn//85zz55JN86Utf4gc/+EFKGsZ41NbWcs455/CVr3yFyy+/vN/nS5UDBw7wu9/9jjVr1jBhwgQuvPBCTj/99Ljm152dnbF76/V6ufrqq5OagOoPt99+Ow8//DC/+c1v+MQnPpFy+tWrV/Ozn/0s6WczFApxzTXXsHbtWn70ox+xatWqvhR7wFBK8Z//+Z80NDTw5JNP9vDoPlAcPHiQ8847j/z8fO6+++6kveCnwkcffcQXv/hFLr74Yi6++GJCoRBXXHEFb731FrfffjvHHnssv/zlL3n88cf529/+FteaY7BoaGjg6KOP5u233066P1VK0dDQwHHHHdfDL4IT+/fv5/333ycrK4vy8vJu70ul9Fq//nblBw5oTeEPfqA1hCOJ2lotjM2erYWPmhotFC5f3rfzPfSQFkbvuksL7oloadFOqKqrdRqzC9+0Sa8BnjxZa/oS7cr03HNaED/hBC38DMbjGAxqTem+fVqY279fX1u8eZ3du/Wevmeeqb1EW9m+XTtrCgT09jgrVnRpUw8e1PWxapUWkoeajz7SGmW3Wwub1us7cEDvVezzwZ13gt34sKNDl3/mzMTa4Ucf1WbeV1+t71lrq9bCer16PfMzz+j7adU/NDToNcEjzeGTYRjvKKX6ZGMhguwwcagJsgA/+9nP+Mc//sENN9yQcFD13nvv8Z3vfIf29nYmTZrEUUcdxZIlSzjqqKOYPHnygAyim5qaOP3007nooouScjwUCoV46623eOaZZ3j11VcJBALMmDGDM888kyOPPJJrrrmGUCjE3XffTUVFRcJzvf7661xxxRUsW7aM3/zmN30anL399tv8/ve/Z9u2bcyePZsTTjghJnAFAgECgQAej4cPP/ywmwOPsrIyjjrqKFasWMExxxzTzcy3o6ODNWvWsHr16pT3/V2wYAH33XcfGUPQ+/l8PtasWcPTTz/NO++8Q0ZGBitXruSqq67q85YSgUCAbdu28d5778WOeCbuOTk5XHzxxXz1q1/tdu/Wr1/Pt771Lc4777yUBLO7776bu+++G4AjjjiCU045hU996lOO19LQ0MDKlSvJzs5mzZo1PZxBOeFyuViyZAkTJkxIqjydnZ28+uqr3Ux9lVLcdtttPPLII6xatYprrrmm38/htddey7/+9S+efvppSktL+3Wu/vDOO+/wm9/8hu3btzNq1CjOOOMMVq1aFVu60NzczN///nf+93//l9bWVo444gh++MMfMnfu3EEvWyAQ4Pzzz6exsZFHH300pT2F29ra+NznPseUKVP4y1/+kvT9CgaDMf8FP/nJT+JuGzQUvPPOO1xyySVcddVV/bLCSYbt27fz7W9/m1GjRnH33XczqS8L4BJw3XXX8corr/DPf/4zNhHb3t7ORRddxIEDB7jmmmv48Y9/zOc+9zmuGuKRtVKKpqYmTjnlFNasWUNxcXFS2m+3201ZWRmLzb1qeqGxsZENGzaQnZ3dTZCNRLSH2IYGPbjvD489pjV9jz2mnSeNNJ5/XpvQZmToNYknn9z3c/l8WhCbOFGvv030iN98s15r+eijPR1KbdigtalTpmhTYafb+frrevuhxYv12swhdkKdkN/+Vgv1996rBfXaWi2Uv/SS3sM2L0+vBS4v10LvWWdp09xnn9WOngZ4HjxpGht1ndbU6Pr/yle0EH/JJXrt8J13aquAvhKJ6HXQNj+rMc47T+drRQRZYcA4FAXZjo4OXC5Xr4IegMfjoaOjY8AHE1YuvPBCOjo64jqzMU1wn3nmGZ5//nmam5spKSnh9NNP58wzz2Tu3LmxwWFtbS0XX3wxWVlZ3HPPPUyZMsXxnFu3buWb3/wmM2bM4K677kpqH9V4RCIR1qxZw5133sm+ffvIyckhKyuLnJwccnJyGDVqFJWVlVRWVjJnzhwqKyuTFvRqa2vZuHEjhYWFlJaWUlpaSklJCSUlJWRmZqKUIhKJEA6HUUqRk5MzJEKsnf3797N69Wr+9re/MWrUKG644YbYmslkeeyxx7jttttiJm9Tp06lurqaRYsWUVpaGmvv2dnZZGRk8Oijj7J27VrmzZvH9ddfz+zZs/H5fJx77rlkZGTwyCOPJLXPo0kwGGTt2rVUV1fH1fRC12Dz1FNPxTAM1q9fT2dnZ8JtOSKRCE1NTZx88slJP7PBYJA1a9b0WLNqOvR68MEHuemmm1La9srORx99xJe+9CXOP/98Lrvssj6fZ6BQSvHuu+/yxBNP8NJLLxEIBFi4cCEzZszg+eefJxgMsnLlSs4777yY19+hYufOnZx33nmxia9kBNJwOMyVV17JunXruPfee7tp9ZPB7/fz/e9/n/Xr1/Mf//EfnH/++UydOjVu/D179vDhhx+yYMGCfvfZ4XCYjz/+mL179/LnP/+ZAwcOsHr16pSeqb6ybds2vv3tb8csbBI9j6mwf/9+Vq1a5Wh9UF9fzwUXXEBDQwPFxcU88cQT/bY4ShVzmcqKFSvYuHEjXq+31/2mTW3sJz7xiV7jmrS2trJu3boegqy59cn992uTyP7MnXz/+9p78FNPJRbshpP//V8oK9NrHvvLE09oIfW227TWzYkdO/Qay3PP1YKTE+vXayG2pUWb6154YZeWd/NmvQ5z5kwtXKXqqXewaW/Xa0VLSmDePL3GNidHC4Zf/aoWZNesgb/9Dd5/X5e/s1Ovf01x44sBx+eD66/X5TvrLK0hb23V9TwQc6Vut9ak5+Roob6wUH+WljqvyRZBVhgwDkVBdqTx8MMPc/vtt/PUU091G6QppfjnP//Jww8/zM6dO8nOzuaEE07gzDPPZMWKFXE1qB9++CGXXHIJo0eP5p577ulmnlVXV8dLL73E/fffz6hRo7j33ntT0q4kwnxGB0JTna7s3LmTa665ht27d3PBBRdwySWXJKXpfvrpp2PC7+c+9zkWLVrUq7CvlGLNmjX88pe/xOv18vWvfx2v18ujjz7KXXfdlbQJb6qY6ziPO+44QJvGbt26NWF5vV4vJSUlSWtMQF/fCy+84HjecDjMBRdcEPPIm+wA1s5VV13FW2+9xerVq5NaWzeUeDwennnmGZ544gkOHjzImWeeyVe+8pWkJuAGi0cffZRbb72Vq6++ms9//vO9xv/973/PAw88wH/9139xzjnn9ClPn8/Hb3/7W1avXk0oFOK0007j/PPPj5m8tra28sILL/DMM8908wA/YcIEjjzySBYvXsySJUuYMWNGr33Ttm3buPfee6mtrWX//v3dHAJdc801SW1fNFC8//77XHrppZSUlHDXXXclbcmQiJtvvpl//OMf/OMf/3B8rrZv387ll1/OpZdemtB7/WDh9XoZN24cCxYsYN++fdTU1PTaD7a0tDBx4sSUPEX7/X7Wrl3bQ5DV/2kT2/ff146P+uKoKRDQGs6zzhoec9HhIBTSQlxOjhbU7Ip0pfRay48+0nugJrIA7+yExx/X2s2mJu3g6swztflzWZk20x1G45mEvPiiXvOZna0F1K9/3dlMessWXU/bt+stdvroY3BAiUS04HrffVrQvOMOSGJl0qAgguwQYhjG54EvAUuB8cBe4AngZqWU1xKvFLgF+A8gH3gT+L5SaovtfHnAz4CvAiXAZuAqpdS/bPEygKuAS4CJwAfADUqpx7FhGMZFwBXADKAW+I1SKimH6SLIDj4HDhzgM5/5DN/73vf46le/CmjTpxtvvJHXX3+defPm8ZnPfIZTTjkl6RnyrVu38u1vf5vx48dz8803s2HDBl566aXYdh/z58/nZz/7GdOnTx+06zpc8fl83HrrrTz11FMcccQR3HTTTQk1Ki+99BI/+tGPWLZsGbfddlvKe5i63W5uvfVWnnvuOUBvkXTNNdf06xoS0drayvjx42Patba2Nl5//fWE3n5dLlefPEW//PLLFBYWOpoX1tTUcP7553Puuedy5ZVXpnYRwI4dO/jyl7/MhRdeyDe/+c2U0w8VSinC4fCgrctMhUgkwuWXX87GjRv561//mlCofvbZZ/nxj388YCbgjY2N/PWvf+Wxxx6js7OTlStXkpOTE1tiMXPmTM466yyOPPJIampq2Lx5M5s2bYp5F//Upz7Ftddey+g4XmBefPFFfvKTnzBq1Ciqq6spLy9n+vTpTJ8+nfLy8oRbugwWW7du5dJLL6WsrIzf/va3PTz8pkJDQwNnn302Z599dsL+QSk1bJORjY2NzJ8/n2nTpuHxeHjzzTcT9iuRSCS2zCGRRYgdc5IsMzOT6dOn91gj+/jjWgB1ubSZaKoOkN5+u2ublHjayUMR01z5hhu0AyArL7+st1e5+mot4CWDz6c12g8+qO/FhAnadHmADBQGBaX03qzz5o3sciZi3Tpd9lTb/UAiguwQYhjGW2jhdTWwHzgS+AmwHVihlIoY+q3wGlAB/BBoAa4BFgCLlVL7Lef7K3BmNN4u4FLgDOBYpdRmS7ybgCuBa4F3gC8CFwFnKaWetcS7CLgL+DnwEnAy8CPgUqXUnb1dnwiyQ8OXv/xl8vPz+ctf/sKLL77IL37xC3w+H9/5znc455xz+mQuu3HjRr7zne/EzLWqqqpi6x77MyASkuO5557j5ptvJjs7m2984xt89rOf7WHCba5TXrRoEX/4wx/6Zbb4r3/9i7Vr13LFFVf0WUOZDNbBJuhB4dq1axk1apSjsBUKhfB4PHzyk59MWRh74403MAwj7vYfplOaBx98MOW1oldeeSUbNmzg6aefTspBjKBpbGzk3HPPZdKkSdx3332OffDWrVu5+OKLWbRoEX/84x8HVAh3u938/e9/5+9//zuGYXD66adz1llndVtiYaKU4sCBAzz33HPcc889TJgwgZtuuolFixZ1i/PnP/+Zu+66i+rqam699dZhEVrj8d5773HZZZfR0dHBrFmzOP744znuuOOorq5OqV5vv/12HnnkER5//PGE5tnDienoqaysjFAo1Ov6++bmZqZMmZKUQzs7r7/+Ol6vl9mzZ/cQZJ9/XmsYL7hAaxjvuw9SmYO7/Xa9R+nLL2uvsIcLkYg2oW1qggULdB0GAvqordVax7/+NXXnTIGArktz71Ph0EcE2SHEMIxxSqkGW9jXgAeAk5VSLxuG8RngKeCTSqm10TjFwG7gYaXUd6NhR6A1sN9QSt0XDcsC3gc+UEqdHQ0bD+wDfqGUut6S7xpgnFKq2pL2IPB/SqnzLfHuBc4GJimlEm6mJoLs0HD33Xdzzz33cOKJJ7J27VoWLFjAT3/6036bEW7atIl3332XE088cVhNEg9X9u7dG9OIFxUVcc4553DuuedSWlrKhg0b+O53v8usWbO48847B1X4HEisg02TmpoaPv74Y0fzXJfLxZw5c5jZh+ndDRs20NnZGXcNt9fr5XOf+1xMqEpmwicYDPLkk0/yq1/9iksuuYSLLroo5XId7rzyyitceeWVVFVVcfbZZ3PaaafFHGXV19fzta99jby8PB544IFBM9kOhUIASQtzW7Zs4dprr6W+vp5vfetbfO1rXyMQCHDDDTfwwgsvcOaZZ3LttdembBExFBw8eJCXX36ZN954g40bNxIOhyksLGTRokUUFBSQk5NDXl4eOTk55OfnU1FRwfz585k+fTqZmZm43W4+/elPc+KJJ/Kzn/1suC8nLuZaV1O7um7dOpRScSf4XC4Xxx9/fFwteyI2bdrE3r17mT9/vqMgO26cdn5z8cVaM3XXXckLpeecowXfO+5IuVhpzzvvwC23aAEkK0tPBOTk6Lq7+OL+OQ0SDh9EkB1mDMOYB9QAX1NKPWQYxl+A05VSU2zxHgBOVEpNj/6+DrgOKFFKdVji/RS4GihSSvkNwzgPeBCoUkp9aIn3deBeYKZSardhGJ8A/gWcqpR60RLvJOBlLIJ1PESQHRo+/PBDvvSlL5GZmcnFF1/M+eefPyJMCYWBYevWrTzwwAO88sor5OTkcNppp/Hiiy8yadIk7r777hG3PjMR9sEmaC3d+vXre2yX0d7eTkZGBscee2yf9t7csmULTU1NCQeqpglrb2sYA4EATz/9NPfffz91dXUsXryY22+/PW0mEEYaTz/9NI8++ig7duwgMzOT448/njPOOIMHHniAPXv2cN999znuETqceL1ebrrpJl566SWWL19OW1sbNTU1XHrppZx//vlpsb6/ra2N9evX88Ybb7B9+3YCgQB+vx+/308gEKCjoyMm5Ofn51NVVUVmZiYbN27k73//+4i7J1YaGhr41Kc+FXv3ffTRR9TW1jp6E+/s7MQwjNha/VT56KOP2Lx5M0cccURcQRb03qRXXgnLlultUmbP1ntdxuvO6ur02tjvfU9rJwVBSJ1DUZBNtxH9yuinucXwAmCrQ7z3ga8ZhlGolGqLxtttFWIt8XKA2dHvCwA/8JFDPID5aG2v6SLSnrc1XkJBVhgaZs+ezXXXXcfcuXOZI1OWhxwLFy7klltuoba2lgcffJBnn32WiRMncscdd6SVEGti15AUFRX1EAIikQhtbW2sWLGiT0KsmU84HE4Y54wzzmD16tX88Y9/5KSTTuphFmoKsPfddx/19fVUV1fz3//93yxfvjwtBJeRirne8sMPP+TZZ5/l2Wef5dVXX8UwDH7961+PSIFp9OjR/PznP2fZsmX8+te/JiMjg1tuuYUT420OOQIpLCzkpJNO4qSTTnL8PxwOs2fPHmpqati+fTs1NTXU1NRw2mmnjch7YhIKhcjNze02gVtSUhITyu20tbVRXV3d5/wKCwt77VsAVq7U62VvuQX+/W8dlpurtbSzZ+u1hGVlWgNbVta1xciKFX0umiAIhyBpI8gahjEFuAF4SSllqjLHoJ0s2WmOfpYCbdF4LQnijbF8ulVPNbVTPBzOaY9nv4aLgYsBysvLnaIIA4xhGHzmM58Z7mIIg0xFRQU//vGPueyyy8jJyUk7bWAgEKCgoKCHYJqTk0NxcTE+ny8m5La0tDBjxox+Cer5+flxB7ImhmFw9dVX88UvfpHf/e53XHfddXzwwQesX7+eDRs2sGnTJnw+H9XV1Vx33XUiwA4wlZWVMU+369evJxKJ9FlLNhQYhsGqVatYvnw5SqkRu160r2RmZjJz5syY8yvQk0ojvc37/f4ezgwLCwtxssaLRCIAfd6vGyA3NzfpOvn857WWtbZWe9398EP9uW4dNDdrLa6VSZN67pEqCMLhTVoIsoZhFKKdPoWArw9zcfqMUupu4G7QpsXDXBxBOOQYSc5kUiEQCMQVTCdPnsz27dvJy8vD7/eTlZUV2yKlryS7dGDGjBmcd9553H///bzyyiu0tbUBMHPmTM4++2xOPPFEjj766BE/mE9nsrKyOPbYY4e7GEkTb4/tQ5Hh2Fs7VQKBQA+na3l5eeTl5REKhbppar1eL1OmTOnXeubc3NyU0ufl6f007T7lQiG952lTEzQ26qOqauTuHSsIwvAw4gVZwzDygX8AM4GVVk/EaI2o065Xdo1pC+C0H4oZr9kSr8QwDMOmlXWKRzTvjxPEEwRB6BUnrYlJaWlpTFPidrtZunRpv9ewZ2VlOWpknLjwwgvZs2cPJSUlLF26lKOOOqpfGhtBEIaOUCjkuBZ+3LhxNDQ0dBNy/X5/vzXpOTk5A+JjIytLr6cdCfuACoIwchnRgqxhGNnAY+i9ZE+x7w2LXpN6qkPS+cDe6PpYM95nDcMosK2TnQ8E6FoT+z6QC8yi+zpZ0wd9jSUe6LWyHyeIJwiC0CuRSCTufo2FhYVkZWXR1NTEpEmTEu7/mCypODzLy8vjlltu6XeegiAMD07eiceOHcv+/V16gUAgQF5eXr99C2RlZZF/OO2NIwjCsDJi7WIMw8gA/gp8EvgPpdRbDtGeBqYYhrHSkq4I+HT0P5N/ANnAFyzxsoBzgReUUv5o8HNAEPiKLZ+vAluVUrujv98EGuPEawbeSPIyBUEQAOfBJmjzxQkTJhAKhRz39OwL4rlbEA4fnPoW+zpZr9fLjBkzBqR/STcfBYIgpC8jeTTzR7TgeRPQbhjGMZb/9kdNjJ9GC5UPG4bxQ7TJ7zWAAfzKjKyU2mQYxt+B26Na3t3At4AZWIRRpZTLMIzbgGsMw/ACG9HC7ifR+8Oa8YLRLX3uMAzjAPBSNM43gO8opQIDWxWCIBzKKKUSajGmTZvG+PHjB0zTcahsryUIQnwikQiZmZmOa1ZN53Kmw6pwOMyECRMGJF8RZAVBGCpGsiB7RvTz2uhh5afAT5RSEcMwzgJuBe4A8tCC7UlKqX22NF9HC8U3AiXAu+g9aDfa4l2L9nR8OTAR+AA4Ryn1T2skpdSfDMNQwBXAD4G9wGVKqcNwq25BEPpKKBQiLy8voZbUab/H/iAaWUE49AkEAowePdpRy5qRkUFZWRnt7e0opRg3btyATZQVFhbi9/t7jygIgtBPRuxoRilVkWS8ZrQm9Bu9xOsEfhA9EsULo4XdG5PI+y7grmTKmc6EQiEMw+jznpWCIMQnkaOnwSIjI4OsrCwikciI8bwaDofx+Xz4fD5GjRoV19RaEITk8Pv9TJo0Ke7/48aNo6mpiXA4zPz58+PGS5V46/2HilAIWlth9GgQ4xNBOLQZsYKsMPxEIhFaWrSD5nA4TFFR0YgaXNq3DhCEdMRpe4yhIDc3l3A4PKyCrNvtJhgMAlpLXFpayoQJE9i1a9eI6msEIR0JBoMJ+5aioiKCwSA5OTkDunVZWVnZsG6F1tKi95xtbtbfc3K0UCtz8YJw6CFSgNADpRRut5tAIMCsWbOoqKigo6ODDRs2DIv2yImmpqbY3pviIVFIZ+JtjzHY5ObmEggEhm29rN/vJzMzkyOPPJKCggJyc3MxDAOlFI2NjXR0dFBQUDAsZROEkYZSinA4nNLkbW9r703NaXl5+YBbXA3X3tLBoN66Z/58/el2w8cfw/79EA7D2LEwQoxQBEEYAORxFnrQ1NREWVkZJ5xwAlVVVeTk5FBSUsJxxx1HXl4eTU1NSe9BORg0NDQwZswYjj76aFpbW4e1LIIwEAyH9tHUyA4XHo+HyspKxowZQ15eXmzgaxgGlZWVtLW19XIGQTj0MSeWGxoaaGhoiO0pnSyJ+pbs7GymTp3K5MmT+1vMEYPbDXPmaJNiw4DSUi3UfvKTMGWKNjkeSbS1aa2xIAh9QzSyQjfKy8spLi523EsuPz+fZcuWUVNTw/79+xk7duyQrptVSuFyuZgyZQoLFy4kMzOTqVOn4nK5BtwZjiAMFb1pTQaL3NxcQqHQkOcLXcsC4nlJHTt2LHl5efj9fnJzc4e4dIIw/EQiETweD8FgkGnTplFRUcH+/fvZu3cvZWVlSZ+nt+enurp62LSnA00goM2InZYFZ2XBtGlw4MDQlysekQh0dGih2yy7IAipIRpZoRvTp09PuCF6VlYWixYtYu7cuX2aHe4rkUgEl8tFRUUFixYtignQVVVVRCKRYRuQC0J/CIfDZGdnO26PMdjk5+cPm0bW4/Ewa9asuGaSGRkZVFZW4vF4hrhkgjC8hMNhmpqaaGpqYvLkyaxcuZKFCxdSWFjIjBkzAJJ63wWDQfLz83udbD5UhFjQ2tiqKi20OlFcrIXFkTJcaG6GWbNg7lxddkEQUkcEWSFlDMNg5syZVFVV0djYOOj5hcNhXC4XlZWVzJs3r5tzmry8PObNm0dTU9Ogl0PojsvlwuVyDXcxRhypmLoPl6Mn0JqaoZqIshKJRIhEIkyZMiVhvIkTJ5KVlSWTVMJhQSgUorGxEbfbzfTp01m5ciXz58/vtk48NzeXqqqqmBPGRPj9/mHrW4YDvx/y8py1sSYZGTB9+sgwL/b7tcA9Y4Yuc16eDhMEITVEkBX6zKxZsygrK8M9iFOJoVCIhoYGFixYQGVlpePs8ZQpUyguLqa9vX3QyiF0p729naKiIsaMGTOo9z/dCAQCHDx4EK/Xm1T84RxsZmVlDYs2xuPxMH369F5NHrOyspg1a5ZoZYVDmkAgQENDA62trVRWVrJy5UrmzJkTd7nB1KlTyc3N7XWf1kAgMCIcMw4VHo/WbPa22mnChJGhkXW7YcECbVacmanLLl2dIKSOCLJCn8nIyGDRokVEIhF8Pt+An9+coV64cCEVFRUJy7FgwQLa2trSxvFTKBSirq4uLR3aKKVoa2tj/vz5VFdXE4lEeh1UHQ5EIhGam5s54ogjCAaDST0ToVBo2AabWVlZQ/68KKUIBoOUl5cnFX/KlCkxDa5weNDR0cHBgwcPiwmMQCBAa2srCxcu5KSTTmLmzJlJTfDMmzev1/oJh8MUFhYOZHFHLD4fFBRoIbU3Ro/WxyAMWZLG64Vx47qXd8IEfQ3DWa6+oJR2WHU44PfrCYh0u0eHOiLICv0iPz+fJUuW4Ha7B3SwaRVip0+f3mv8kpISKioqkjK5Gm7Ma6uqqsLv9w/KJMBg4vF4mDx5MqWlpeTn57N48eIBv//pSGNjI5WVlUyfPp0lS5bg8Xh6NYtVSg3bfqnDsQez1+tl4sSJsW0/eiM3N5fy8nLR+h8mtLW14ff7OfbYY8nNzaW5uXm4izSouN1uqqurmTp1akrP4/jx4ykqKurVCulw2Yu5tVV7Kk52W52KiuETviIR6OzUGlirQUxGhg4bCWbPqeDxaMEuHYTZtjaoq+tbOpdLC7Kmg++GBn00NYlgO9yIICv0m7KysgFdL2sKeosWLUpKiDWZNWsWhmEQCAQGpByDgVVAr6ysZOnSpbS2tqbNOsBwOEwgEKCqqioWNm7cOGbPnh33/odCIZqamg5pra3b7WbMmDHMmjUL0M/EggULet2qarg8FsPwCLKdnZ0xhzXJMn36dEKhUNpYWwQCAbxe72E/sZMqZp0dc8wxjB07lmXLllFSUpLwvRIKhdJ2SYnX62XMmDFMnDgx5bQZGRnMmzevV4uew0GQ9flg1CgYPz75NGPHaoFyOLqU5maYOVNrhe2MH6/DOzuHvlx9QSntbbm6WntfHsnDGNND9PjxyTnWikT0tkguF+Tnw9FHw8qVMG8eHHccnHwyLFsGs2fr+PX1g3f9waDW4jc2auFZXi3dEUFWGBCc1ssqpQiFQvh8PoLBYFLnsQqxyZofmuTm5jJ//vwRq70xBTqrlnnMmDEcccQRNDY2psXA1+12M3v27G4OSEDff/t6WXN9c2trKzNmzKCzs5Pm5ua0EUiSxefzoZSiurq6m4fQ8vJyysvL4zoiU0qRkZExbNvLZGdnA8l5QB0I2tvbGTNmTEKv6E6MGjWKiRMn4vV6UUoRCARoa2ujqakptrem2+2mvb19WCeEzLWOnZ2dlJSU0NzcjMvlSqslD8OF2+3GMAyWL18eM4fNzs7myCOPZMKECbhcrm512NHRgcvlwuv1kpubi8vlwuPxpE09RyIROjs7mT9/fp/XqZtCsJOJcTgcJisra1i8oQ81qWpjQTtWGj8e4s2BuN1agHG5tDYuXrMKhXT+yWrkTAdPM2c6/28Y6aWVbWvT9Thpkt6rdyT73Gxp0Zr4RYsgHNbCYTyU0vd+8mQ4/ngtsI4d272NZWfDmDH6Xq5YAQsX6jySdI/RjbY2XXeNjV3CakNDVxv0+6GsTOcxY4aOI3Qh+8gKA4K5XvbNN9+koaEB0N6Nc3JyyM/Px+/3x4ScnJwcRo0aFfNI6vP5YsIA6H3tpk2b1qdyTJw4kdraWtra2kbU+qBEAvrkyZPp7Ozkgw8+YPz48cPigCcSidDR0UFHRwegTbXtg6BAIEBmZqbjeuXMzEyqq6t5/fXXaW9vp6Ojg8zMTObNm8fkyZPJzs6mvLycDz74gP3791NSUnJI7A8aDofxeDwsX768h2bVMAzmzp2L1+vF7XbHBDi/3x8TusaNGzds219kZmayYMECtm7dSkFBwaA/L+3t7cyfP79PaWfMmMFbb71FIBCgoKCAkpISiouLKSgoIBwO4/V6aWtro7W1NdaXDHTd+nw+MjIyyMrK6uY5PRgM0tLSQm5uLgsXLmTSpElkZmbGwvft2xfrE/Py8sjPzx8WbfhIxe12k5uby9KlS3toELOysqiuriYnJ4fa2lpycnIIBoOUlpZy1FFHUVZWRmZmJh6Ph127dlFXV0dOTg7FxcUjeluZlpYWZs6cyWgntVwKVFVV8dprr9HW1saoUaNi1zyc3tCHEtNT8bhxqaedNg3eeQfs3V5bm3a+tHKl1uDt2aOFiYwMHTcU0oJrJKK38hk3Dj7+WAuhiV5ppobvqKO0EBSPsjIoKdFCdpIrMIaNzk5YvFh/Ly/Xwpfbrcs/kggG9f2ZOVPfo/nzYcuW+Fp8l6trW6RkMAx9/WPG6PO6XPo+9uZ4LBjUGvpx47SQnZ2t25l5ZGfrddPW9qKUbn/19TqPVEgDXUmfMNJlBvNQY+nSpWrDhg3DXYwBx+/3x/bGtHtF7ezsxOv1xrZtCQQCZGdnM2bMGMaOHcvo0aMpKCjo9yyy2+1m3bp1AyIUKqVwu92EQiFKS0v7NAANh8M0NDQkFNCVUmzdupUDBw4wri9v5T4QDAbxer2EQiEyMjIYP348EydORCnFtm3bYtdsahldLheLFy9mUoL9DRoaGtiyZQuzZs2KCbB26uvr2bJlCwCjR48mEAgQCARiWnul1JAIVqDrwO/3EwgECIfDKKVQSlFcXJyUWZ7L5aKqqipmUuxEZ2cn69ati5m8jx49mokTJzJmzBiKioqGXajxer289957eL1eysrKuglpA4Vp/nn88cf3+fw+n4+cnJxe04fDYXbs2MGuXbsYN25cr/toJkIphcfjiQkGpibNtJ5QSpGTk0NVVRWTJk2Key/9fj/Nzc00NjbS2NgYWxeflZU1ItrAcBAMBmlubqa0tJQlS5YknNhSSrFr1y4CgQBTp06NKwB6vV5qa2vZv38/mZmZFBcXj7i69fv9dHZ2csIJJzj2j6nicrlikyXmUoVQKMTUqVOZm+xIfAhQCp5/vm9CZzxcLm3W2stOXo6EQvDyy1roMrsIn08LkCtWdBdwfT6d1969XU6liou1oGkYWpv2739rwcKpuZkavtmzobKy+9pYJ5qb4a23knNeFe/aGhq0oG29PiciEW0enJOTmla7o0Of99hju66nsxNef13X3UgyBnC5tCZ26lT9Wyl4+219Dfb5npYWXWdLlqRWHyaRCNTWwgcf6DooLHRuE263jjt/vtb8pjJUDYV0e/P7dTtMBp9Pr2euquoyhx5JGIbxjlJqaZ/SiiA7PByqgmyymCaCOTk5gzJzvnXrVurq6igtLe1T+kgkgsfjIRgMMm3aNIqKiti2bRtZWVkpm0a6XC7mzJnDzHj2RFHC4TDvvPMOLS0tjBkzZlAECtB139zcjGEYzJgxg7KyMoqKiroN+IPBILW1tezcuZPs7Gyys7PJzMzk2GOP7bVcSqle76nf72fbtm00NzdTVFQUO/Ly8ohEInzwwQe0tLQkLVCmSjgcpqmpiby8vJh2r7CwkPz8fAKBAG+//bajVtpKY2MjY8eO5cgjj+y1Ttra2ujs7KSoqGhEaqJDoRAfffQRO3fupKSkZEDrvLW1FaUUS5cuHTItkVKK3bt3s23bNsaOHZuyMGNq2oPBIFOnTqWioqJb2UOhEMFgkFAo1CcNq8/no729nZaWFnbs2HHIWCgkQygUwu12k5WVxZw5c2Ia7IGko6ODjz/+mN27dxMMBikoKOimsRxO6uvrWbJkSZ/WxiYiEAjg8Xg4cOAAdXV1VFdXM9n0TDMCGGhB1jTrPekkZ0EhGd5/Xzv/KSnR52tuhuXLtWYtVfbvh3ff1Vo+6+vAFGIrKvT6ymSb4Pr1WqhOVWmvlNbWLVyoNX67dumwkpLu9dTero+MDC3MtbXpOjAMfeTl9dRWW3G59LrRsWO7h9fVwcaNuh6G4nFTqkt77ZRfR4cOX7Gi+31pa4PXXuuuOW1v18Llsccm1q4nQ2urbhN1dVrgzMjoKqPHo4XXuXN1PfeFzk5Yt06Xszc3G83N+hoXL+5b2x4KRJBNQw53QXaw8fl8vPrqq5SUlKQ0yAyFQjHnS+Xl5VRUVMQ8rHZ2dlJTU0N9fT2lpaVJaY7dbjfFxcUsWbIkKcE0GAyya9cudu3aRXZ2NiUlJQM6+Oro6MDr9VJRUcHs2bN7vYaOjg527NjBxx9/zDHHHNPniYFUUUrhcrmoqanB5/MxZsyYAdOsmGbuc+bMYcaMGY73paGhgfXr11NWVtYjX7NskyZNYtGiRSNO49MfGhsb2bx5M9nZ2QOiEW9ubqagoIAlS5YMi1OrAwcO8O677yYUFEOhUMwqwHQqlZGRwfTp05k2bVqP9eADTVNTExs2bKCgoGDQ8jItDQZrciwZIpEILS0tKKWorKxk2rRpA6KRTEQ4HKalpYXa2loaGhowDIPs7Gxyc3PJzc0d8vrwer0UFBRw9NFHD6pQHQ6HMQxjWO+3nYEWZBsbtXazl/nhhLS0aM3n2LFaMFu8uG/aXZMdO2Dnzu4mqy6X1gQuWJCahq+1Fd54Q9dXKk2loUGbuZqrOPx+LVDt3KmFtIwMvUa0rEzHKyvTpqtK6bgdHVqgq6vTdexkfuvzaaH3E59wvqYtW3R6U2gKh3X8UEjnk5Wlj8zM/gm75nY4xcVdJs1WwdAU6lesAKehy65dWnM6frzWSre26rj9tPjvhrk9kdsNBw/qul24MDXnZPHweLQwW1rqbK4eCul7OHmybg8jea5UBNk0RATZwae2tpZt27Yx3qHHCAQCMQcjJuYgZ+LEiVRUVDgOKpVS3UxjS0tL4w5IfD4fnZ2dHH/88SlruDo6Oti5cyf79u0jPz+/35qsUChEc3Mzo0ePZuHChSlrlTs6OgZ9QO9EOBxm//797Nixg3A43G+NpjlJsWTJEsp6WWDy8ccfs3Hjxm4avUgkQmNjI+Xl5cybN29EDRQHivb2dt544w0KCwv7XNdKqZjG2lzjOFw0NDTwzjvvkJ+fj2EYseUPJjk5ORQVFTF69OiYVcCoUaOGtMytra28/fbbZGVl9WvdpLkvqf29bhgGhmEQiUQYO3ZsykJUZ2cnbW1tsbpKNX1bWxsdHR1Mnz6dmTNnDos3XXMSz+Px4Ha78Xg8seUE5n0fKEKhkKPjsdbWVo4//vh+r41NR5SCNWu0Vqq/j1Y4rIXQE0/s3+A8EoFXX9XCxbx5el1kf4hEuoS4sWO1UDlhAhxxRN/MVM31lsm+rj0erZ1btqynOXEgAAcO6HKMH9+7Fs+8lo8/7jn5YAr98VYZBQLw5ptd3pezsnR++flacPX79X+BQE9HWobRJejm5cXXtps7LVZX6+tpaID33tNtY8wYfR63W9+HI45wPkc4rAXBSEQLm0uX9t2ce7ioq9NrvQsK9HWYkwWgPxct0pMzI8AYJSEiyKYhIsgOPuFwmNdff52srKzYIEUpFdtrdsGCBYwePZqsrKzYkewAze/3s337dvbv3+9ouhiJRHC5XBxzzDG9CkyJaG1tZceOHTQ0NJCdnR0rb28Eg0E6OzsJBAIxTcycOXOYOnXqgJvxDQWBQID6+np27dpFR0cH+fn5FBYWJn2/TMGquLiYI444ImmhfO/evWzZsiW2brmhoYHKykoqKytHhJniYOFyuVi/fn2f1phGIhEaGhqYNm0a8+fPHxHtzePx8P7778dMyU0z8ry8vEHXCiZLe3s7GzZsIBQKpTTRpJSKma7n5eUxY8YMxo0bR3Z2NhkZGbHDXDu8e/duxowZ0+t1B4NBWltbYxNIFRUVNDQ0cPDgQXJzc5NyqGROoBUVFbFw4UKKk13QNQQopfD7/Xg8Hnbs2EFbW9uACLQ+nw+Px8MYBxs+c5L0cMU0O+2vsNDcrJ01DcQS4F27urRkA9Glh0LaLNjUxC5e3LvTn3h0dMC//qUFs97O4fPp+Mcdp4WagSAc1sJhXV2XBjEY1ELfSSclLlMwqAUr04GRE0rp+goG9REI6MM0e25q0uGmo628vC4HSaanZOtERiAA27fDvn1aS9vWpp12JRLa3W69rnfu3JG5djQZ9u/X2uScnK4jM1O3g5HuMMxEBNk0RATZoaGxsZG3336bCRMmxAYY06ZNo6qqqt9r0pRSHDhwgC1btjBq1KiYCTJoQWDWrFnd9lvtDx6Ph7q6Ovbt20cwGCQ3NzcmyAUCgR5bHOXn5zNmzBjKyspiZTsUTGDNiYg9e/ZQV1dHRkZGQvNxpVTMk21FRQVz5sxJWbDauXMn27dvB/Tkx+EyEN25cyc7duxwtGiIRyAQoLm5+bAQ9gcDv9/Pxo0baWlpIS8vj9zc3Nj6dJNwOIzf78fv98ee+YkTJzJ9+nRKSkp6tRKoq6vj3XffJS8vr4f5eCgUoq2tjUAgQF5eHuXl5UyYMKFbPK/Xy65duzh48GBCD8Hmczd37lzKy8tHxIRGPMzJlw8++ID29naKiorIyMiI1bM5TlJKxTwlO+Hz+fB6vSxbtsxRkD3cUQo2b9aCSF892yqltW8nnDAwg3RzCDyQXZXPp70dz5rV9/W7Jjt2aOdBiebDw2FdJ8cck7on294whdn6eq2ZbWzUQl90B8FBxdSUtrRos1y3W9fnwoUwcWL8e+Zy6fXKs2YlZ3re0qIF30PQwCptEEE2DRFBdmhQSvHOO+9w8OBBRo8eTXV1db80pE60trayefPm2FpOr9dLXl4ey5YtG/DBWyQSwe12c/DgQQ4ePAhAUVERJSUllJSUkJ+fT0FBwYjRMg0mHR0d1NXVsXv37ti2LKZDF9NZTygUYvLkyVRUVPRZG6SUYufOnRQUFIwo5ymDTSQSYfPmzTQ2Nib1zJj1vXjx4pSEX6E7wWAQl8tFa2srHo8Hr9fbzRTadDhnOikbPXp0ylpEr9fLpk2b8Pl8FBcX4/V6CQaDZGdnM2XKFCZOnEhxcXFCodjr9bJ79+5YP2QlEolQVlbGggULRtQ2aL1hCrQffvghSqlu2zzl5eXR2NhITU0NRUVFPdZ8m0Ls8uXLh8yXQDri82knO331bOvxaGEtnrnooUYgoM2fi4riC8X19Vq47M964USEw3oCwuXSmr4TTxwer8SmKXIyOohgUJdVhNP0QATZNEQE2aGjo6OD+vp6pk2bNmhayWAwyLZt29i7dy85OTkcf/zxg76mNBwOk5GRcdhrvSKRCM3NzezZsweXy4VSiqysrCFz1nMoEwgEePPNNwHiCiTmuuGSkpKUzLaF5AkEAvj9fnJycgbMu3EwGKSmpobGxkamTp3KhAkTYprIVIhEIoRCIcLhcGxtqCkEHopryN1uN5s2bSIcDscEVhFiU8Nc19cXx8319dp8dgRZqQ86e/ZATU1PB0Gmme2UKXqt6GAOBUIhLcwWF2snW4IwkIggm4aIIHvooZSKrR8ba/dJLwwJpkOXZL1KC73j9XpZt24dRUVFPTT9pgfoyspKZs2aNaLNRwVnktkuS+iO3+/n/fffp66ujsLCQjo6OkSITQGltOlnY6OzN9l4tLV1OTM6nAiH9VrZ3Fx9KNXl7Kgv+5D2lej22aLlFAYcEWTTEBFkBUFIF+rr63nvvfeIRCLdhJ7s7GwWLlwYc4YlCIcLSin27NnDRx99xFFHHSVCbIr4/drEOJ4X40ikywtrOKyP9na9x+dArwNNB+rqYNMmbWLsdmtnV1VVfd+HVBBGEiLIpiEiyAqCIAhCehMOh8USoY/U12sT45ISLdj6/V3/ZWRo7WNOTpcmsrBQ7316OBoQKKW3tPH7tRnx4SjMC4cu/RFk09+NqSAIgiAIwjAgQmzfmTBBe791u/X6z9JSvWVIfn7/9oc9FDEMOOoo7cDoENiAQBAGDHkcBEEQBEEQhCFnwYLhLkH6IMK9IPRElmwLgiAIgiAIgiAIaYUIsoIgCIIgCIIgCEJaIYKsIAiCIAiCIAiCkFaIICsIgiAIgiAIgiCkFSLICoIgCIIgCIIgCGmFCLKCIAiCIAiCIAhCWiGCrCAIgiAIgiAIgpBWiCArCIIgCIIgCIIgpBUiyAqCIAiCIAiCIAhphQiygiAIgiAIgiAIQlohgqwgCIIgCIIgCIKQVoggKwiCIAiCIAiCIKQVIsgKgiAIgiAIgiAIaYWhlBruMhyWGIbRAOwZ7nI4MBZoTCJssOIe7unTqaxyrVJXIzF9OpV1uNOnU1nlWqWuRmL6dCqrXKvUVby4w810pdS4PqVUSskhR+wANiQTNlhxD/f06VRWuVapq5GYPp3KOtzp06mscq1SVyMxfTqVVa5V6ipe3HQ+xLRYEARBEARBEARBSCtEkBUEQRAEQRAEQRDSChFkBTt3Jxk2WHEP9/RDmddwpx/KvNI9/VDmle7phzKvdE8/lHkNd/qhzCvd0w9lXumefijzGu70Q5lXuqcfyrwGoqxpizh7EgRBEARBEARBENIK0cgKgiAIgiAIgiAIaUXWcBfgUMYwjM8DXwKWAuOBvcD7QCaw2BL2LHAkcCyQDShgPxABJlvCvEAAKKNrEiKIdqU9NhqPaLoAkEP3yYpO9D3PtoQpIJREmBlu2MIi0TB7uBNO6QVBEARBEAThUCJIz3F0PJzGx15gdJLpvUCh7RwutGyQjNKyDi2TWOM+D6ywlCGEljcKgVHRvHYCLWg5x6lM+Wi5IwR8CDwH/D9gBlAPPADcEI1zFfAVoBxwA+uBVUqpQKKCi2nxIGIYxltoQXU1WjA9ErgV8ACXA/ssYRnA28CrwGnAomhYG3AncCpQjW44ZoP/H+DzdG94z0bTTov+DqMFZyfMm29t+B8Bs1O4zIglf+t3ax4ivI485L4IwtAjz50wnEj7E4Shx2msbYY7PY8huisaa4F2YIElrBMtCFZYwtqiaUvi5OMGiqPf29DyyXxLvH8Cc4CZaLnBD+Si5YiNaLliYjR8DXASetyfF03/DHAy8DpwQjTd08BmtKLus9F4TwF3oBV6PwUeAWahhdufAzXAOOAU4PtKqc4eNdTt6kbAHkCH6gGMcwi7NNqoPhn9/Znob2vYl6K/N5nh0cbntcRVwAXAl21h30ALytb0Cq2hVbbjtWgjVNGGo4A/OMSLd3hsv79p+705hXOZ+TuVM97RaPm+KYV0g3F09PJ/xPK9ZhDyT+Vo6kMaa/nt7XCoj839TP9uH9KEk6wb+/FeinWrgH+jXxQK/bJJlDZk+W62wXD0cCrXV22/twMNceo16JDeHua3fI/E+Z7oWq2/fb1cq7uX89WmUM8BhzD7kagv2tRLXkHbvbGXIVG+yRzJ1HWiw36vkzmCKaSPV9fxnqP+1LVyOG8kxfSJjt6ewVTr2l7WzgT10O5wPneC89mv1f5e8gLn2cJCQLPDtYZw7uv/O/rZ4lDX9nuwvZ/31akPMg9/EukTHamkT+adbS+rvV729+H6zcPVS5l76wN6G5/0do5UylqTxPnsh7UN92V8kcz1JXts7mf69XHCv2L77XcodxDdTh63hIUs8sPNlvBMtLBrTb8dLdxaw16lq+29AXwcvTcT0QKrNe63oumvtoS5oukfQvcJddHwqdHwF6O/G6Jl3I/WslYAWZay59H1jLxuCb8yWp42YJrsIzvCUEo1OAS/HP2cEv08G91QrGGfQjfw8Wa4UsqDbkBh2/lORr8ITWYDReiHZLwl3Gp2bLIHPTMTRJsrg541wSGuSdDy3Sx3KPo5yha33CG9cggDmBT9TGhCYMvf+n2SPSLO5U+FeGV1ItR7lFi8Mofw3uraxH7/E6WPF9d+n+JhTW+dNcxNMv9k6yRe+njld2pXg50+UV9p4Nxuw3RZRlixtyvDFpaNXhaA5TMeprWF1YTJQJfXaab3k3S/1p3o9tgBTLDFradnHWbR/Vo7LPlb84un9TH7G6d4vS11OWDJC4fvRb2k90U/QyRnapVN/OdyvEO4lSycLWHM63Vqm6n0N051nWwfAl3vGiu9pbfWWW/pzTJZNQtmu3QiG+dnKIgeMNmx11WGQxjoena6V6nUVW/PoDUvJ+x15bPFNZ9be7uMOMQ1sb7zrcuM7Ndqv85C9ES5Nb0XKKWn9VYGesxhRQGr0M99nsN/1ntgoK/dqV7t45N45c2KxrVjDuSTId6Ywim9NX/zWvxo7VCiuNCzrOZ1m/nb+8RUxiwF0U9fnP/jtV2TeOmsGMSv62SfIT9d45tUNP9mXIXz8xYvL5O9vZzfKX28djGxl3OZxKtzp3d+BD1BbaWWns+Q+d6w1l2mYRgzot9bLeGfBY6zpa8E/ssWVmP5noG+PgM4Az2xbeUXaMHS+txvin4a0bKtjf7+TvTTqR6VUqpWKWUdAy6k611g7dOfi557u1Jqn8O5ekUE2aFnZfRzW/RzAVqzaA/bj14faw3PoWfnu4Dujdt8aR6wpLdivefmC9RDV0dVHCeuifXhNRul2VjrbXFLLd/Nl0K8zq0k+ml/sO1Y1xtYXy72QTj0v307lTXeYCXZdQyZOL8UnMqayhp2p/Tx6tpJELVidvrWe20d+Dit+eit/PHqLVH6eAOVUoewVNKXJJm+t8GBFacBQCBOXk73xToAXGT5nuz6Gg9d9e2jS8C081W6X+vcaPz9OL/AnerQWiZzUqTVIZ4ds59IZWBpxXzGrXVtLYtTu7CSb0lv5tXbYMup3Xpx7luTTa9wfrb7a/Lp1IbjtZ+xfUhv/b+39FYhIJHwbsXpGfLEyau3Z8j8v5Pe34Mm8cqX7DMYTwixlz+X7m3d/B6whTei34f252I0PfvwCLr+rNeqHOIBzKP782q+c2vp/v5toadQYQBVwEF6vqut99rMP0T3d4dJMuMTE2t68x5Zn+HesPaF1ut2Sm/N37yWJpJ/XqxlNevOFCLtY5RkxywBuvrZeJPQ1jbkRG99o4mTEGmQ/L3KofdJPid6E2Sd8rK2badJgd7Sx5ugcrovTsTrF+LdV7sCI4RzP5ZNz8l20/zX2sedBPynLV4n8FdbmLXtmu3HFz2nVZBVgEcp9RDd21mbpbwPRfMFOBr9HluK7iuKDcNoRMsgnzUM4yrDMKzPmPnsKrSvIJMx0c9swzDuMQyj1TAMn2EYawzDWEwSiCA7hBiGMQW9qPklpdSGaPB4tG24NWwMXZ3va5ZwcyBm/jbTWx8QswF6HeJiC7MLotCzTdjT51u+m+nNDuVUh7w+dsjDqUwmyb6cIDVBo6/YZzITPTNuhzD7bGx7CnknGqzFE1SsJCrrriTSW18UyeRnx9rp9qZpHwhS0QAPNE4DjFQEE+u9+qAP+VuvvQH9YrFTT9ekmclMtLDgdH/N+5/IssF8mTtZGZiY7cBs+8laBNgx8yiwhCXrZM6KNX8n4cmK02BljENYvLycnkHzXiWjgU0Up7/pBwP7tVnvT299n1O7SOWZtta1OWgqTCF9oklUp3q0hyUr8Cb7jgvjPOGRQc92lUHPaw07xAM9WW19XvPQAp7XFu8tur/vQfcho+juR8O8x05av06HcoHud+Jh72+sk8TmfXVHP3t7fqH7ZKK9n3NKb+87E01afWz7XeIQx7QUSWVsY8UqcNmfB7M+zHP314GrUzv3JvjPjqv3KEnhNKmUaLxntpFUrPD6a7GXKm/Zfs93jKWfzaNsYeY753xL2LfRywSsPONwPuvzZ7YPD3oSu9Lyn4E2i4buAq61D/k68ET0+0looT0D+DVwBXAOeuKnHr3W9S5LWlM4N9CaX5OTo58L0P3CF9FWI+OAVwzDcLKg64YIskOEYRiFaKdPIXRjMMMmozuIr1ujo2c9QTcOM645q3Zz9DPXkt5OpS2uFTPMfAElGoQ6pbeW04rdTAG6tDzWMr7uEGZi1+xss/22pulNewvwZoL0dpwGWsnkYfK8Q5j5EjLztQ8MrLxi++1UVvOZ3ZFEeRJd6w8TxHdKl4wguznBf/Z63O8QJxnh2sTphZnKJEEy9Ka5Hqz0c/uQxjrrOjFO3jvQL0T7/Y2gHTzYKYl+Ojlws39PJHAYtjipCldmfNPsyK71STa9U/u211NvWkNrHKdrtk/YOJXPamprxy4MJLq+RIN4c9CXKL2T4GGPn+q9ckc/zXqwTjr05fl0MulMBnNgn8pgNdG1Ot2r/k6k2stmfzeMI75w7NT2nK7VaYxXRPfrCaInv6ps8XbTU5M3Ppq3ve3dT0+B9TniT/qY6ZMRWKxlNd+n5nmd+jm7ObS1XuxWJ07pS3opj/VdaD+fU9/YX4HJeq/t5bULx4meX6f+wj7ecnoGzDydngG70J9I85tMX2Lm4ST0N9l+Oy19Mtt7orzi9Y1O985Kc4L4yfCA7Xe8/tBLz/tSZRjGn9HWFCY7HdK2kHii1XoPZ9O9DtsBj2EYPwKOiZP+JvRaX9DjiRZ0+/gs+vr+hX6vrAN+C/ynYRiVhmHMp0tTHASmGIZRYhjGSeh1uUTL8mml1LNKqSeBM9F94qUJrkcz3A6RDocjejPWoh+ERbawEPCGLW4rXYvfCy1xzbDq6Oe2aPrddK1PeTj6aY9rPZzC4h2pxK1NMiwVJwDuFOI6OYZI5KTHfvTXecSOfp7zqRTiOjk36M1ZjvV4eRDqKpX02/pZ1xv7mV6O5I/+OiZKpyOVNuwUN5W6coqbSv5O/V0q+ffXaZtT/k4OrgbrSOVanfqrw6ldy5E+Ryp9wFAew/28jNR6SZf6S6U+P7D99tPTcVszWiFhd4TmR09sLYv+vhw9CRFBC7NPWOqiE/hV9Hutg+z0LvCCOHsaZgzDyAYeQ9uR/z+l1BZb2P8B021x89Ez2nvRjcKMexDd+MzZ7opo+vHR/6BrJiUUTW/XEETomlE0nVGF6Vrf2myLa08ftMRVlvBOetrrBxzCoKeW1IxrnsfKS7bf8TQ/HWiNtxUFXBQnvhPJOvWIR6VD2NPRT2u5nbSbCvidLcz0GmnFnN11Mj+tcQhzwo/2XmfHnlci7OkVPWf/E81E2x0fQE+zGEXPddegzWKedYjb4hDXbFfWsji1IeUQNhB4+pDGbfmeSrnMmeZ49zGMfhnFw56X+ds+E27FrFfr+pd45eov/dVsmBqJSIJzJfNOjKD7W6fr6ouDk1Tzt5bDjtMz4KSJcdOzHzIHW8mkD9KzbSuHMCt2DXAq7cJJc+e0lUW8fNscwp3qyjS9t15zGOeyOvUjTmFtdK9XP10DOTvx2qU1vBPnpRpmu7Se1ymekzVMPJzqKJU+qTfT8E0OYa8miG+/j07vB3tYojI4WfaY/V0y/Y3dXNSKWU9m27Vr9EBrsOwM57g80b19xSHMvlQlkUVLf5cX2dtFovvq1A+lsmRni0OY3Yw8EU5jsXUJ4r9i+223KgDdLr9IVx0neo9Z8dDVpq3XlUHX+NSO1TqjHd0PmH2BOU593HJOL1pAPZqefcZP0Jr61cB5SqlVaJPkarTs8ttoPHtbMun1GkWQHUQMw8hAz0B8EvgPpdRb9jDgL2g1+4mW8F+iTTE3WMK+jF7bkome7QDdoP6GNt/aGg0rRw9QcqLpb4uGmw99BrA8+r0M3XFlomc+oPt6lAxLXiZWUyfrwOR5ombQFv7PIQy6282bmB263QTVbuIQbw3Ic/Q08zGAi+PEd8KpE3byPO20xvc1uryqWjGfMWu5nYRIA72fsJUsh7zM89nNwMDZHGe3Q1g9en8uO4lMFSO273YTJ7s3WtBljffysnvbg55mhAZd7dLKWnq2CwPnNXbmy8++17Kdwdpb0ele27EPHqzed50GkvEwB3nx1gXeS2KnGM/FCS9xCDOffbNeM9Htwqkendqlk2ARb684s372WMLetf0H8U3bzefabLOJ2qXTQM4elkH8Aaw1bqIXsAfn/sYpbL1DWATnejXvvbUcToPlV+jp5dnA+f45pX+Wns9bb89QDt3rPdk1g+a2PXbCtjgGznX+HM7PhFPYxuindVLTTVf/ba1Xp/GTdbBtlu8lW9zM6O9kPKma57DWbWe0fPHapTWuvd58dC1DMPM3NSPQXdjy4vy+NZ9da1mdBP2OOOlNGnAWRK1rUq1lhO5tLkx303UTe7vKIn77cVo6dGX003rP4g2ynTxqm5gTimZ57O2lDudJ7Y8cwuJ5HfY6/O80OdCM84SkdXzQSfxnuA7nZVH2JUqZOI+ZwNmHiNOka7y+2dpfKfR9jZeX0/vFSbh1egbNCaFk4jrlX0fXOlIrTuNes12+bgnz0fP90oD2hmw6fzM9nNuVQp9H73piotDtyWwfzXSNKXzAudHvZp2/iF77+kvLOfzR/Mz6+0z084boZzZabtgc9edjyhoXRj+L0WO2c5RSEQClVINSaotSyov2fhwAyg3DiD3f0bWxc3F+/3XDiKpvhUHAMIw70Xur3oTeaBj0g78KLYQ+gu447kLbq+dHw+aiZyuC6Ia7Gi2gzkE3TPNmvxZNNwH9kGXRtQ5uLD3d6YPurLLpesF0RvONoB+MFrrWOTilj4ci+c2eU4mbLEN1zoGIOxjpB/q8ZntIF/p7rwbrepNpl6neo77e097S9fUZGqy2m2qeg9EHpJJ/f9Ole3/Vl/Y1FPT33dTfvJxIpb9JJW5v+Q92v97fNjhcbcTEdJCVTLn6W5eD1QaTzau/7SqV8WF/SafxlTmpZtjCoGd9W7cnSxR3L3oiYJHlvBHgbbom9SNooXU7eltP0MqVKXTdKx9dkzcNaI2s1WpyPVp5diZa2VGPli9C6GWCU9DyQj1wJ1qeyURPrK2LlucitBbXVCw1AT9GC8RHo+WXzdHzrUI7iPoeWnjegHYclQdcj1ZuVCulnCa8YoggO4gYhlFL1GxYEARBEARBEAThMMeL1jz/VCn1hmEYy9DC7HK0Em8tcKVSyslCoRsiyAqCIAiCIAiCIAhpRTqZDgqCIAiCIAiCIAiCCLKCIAiCIAiCIAhCeiGCrCAIgiAIgiAIgpBWiCArCIIgCIIgCIIgpBUiyAqCIAiCIAiCIAhphQiygiAIgiAIgiAIQlohgqwgCIIgpAmGYfzEMAxlOYKGYbQYhvG+YRj3G4ZxXD/OXRE9/08Mwzhx4EotCIIgCANP1nAXQBAEQRCEPpMFlESP+cD5hmH8Hrhcpb5RfAVwveX3K/0vniAIgiAMDqKRFQRBEIT05Kfo9/gk4JuAJxr+HeC64SqUIAiCIAwFIsgKgiAIQpqiNHVKqbuACyx/XWUYxhjDMMoNw3jUMIztURPkoGEYjYZhPG8YxilmZMMw7gfWWtJfbzFf/okl3unRtM2GYQQMw6g1DOP3hmGMHeRLFQRBEIRuiCArCIIgCIcASqmngB3RnwXAycBk4FxgDtr8OAsoA04FnjMM46Rkz28YxhXA/0XTlgLZwHTgMuBtwzDGD8R1CIIgCEIyiCArCIIgCIcO2y3fK4A9wGeAqUAeMAr4dPT/DOByAKXUBYBVqP2pUsqIHj8xDGMa8PPof8+hBdg84IvRsBnAfw/0xQiCIAhCPMTZkyAIgiAcOtgnqJuARcANwGy0IGtlTpLnPR2tgTW/73GIc2qS5xIEQRCEfiOCrCAIgiAcOsy1fN8N/A64JEH8/CTPm4zZcFmS5xIEQRCEfiOmxYIgCIJwCGAYxufQWleADmANXaa/fmAFWqtaFOcUibbrcVm+/7fF7Dh2kJywKwiCIAgDggiygiAIgpCmGJoJhmF8E7jX8tcvlFItQCj6OwK40abFt8Q5XZPl+zzDMHItv5+3nOuKqPfiAsMwigzDWGkYxp+Aq/p7PYIgCIKQLCLICoIgCEJ6cj1aQK0D7qRL0/o74Mbo9yejn/lADVqY/WSc830ENEa/nwP4otvvnKiU2gtcG/2vFO29uB29d+0raPPlvH5fkSAIgiAkiQiygiAIgpC+hNHCaQ3wAHCcUupypZRpJvx94E9o0+B24J/Ap5xOpJTyobfqeQdtmmz//1fA/0MLsU1oDW0dsA4tVD8wUBclCIIgCL1hdL3rBEEQBEEQBEEQBGHkIxpZQRAEQRAEQRAEIa0QQVYQBEEQBEEQBEFIK0SQFQRBEARBEARBENIKEWQFQRAEQRAEQRCEtEIEWUEQBEEQBEEQBCGtEEFWEARBEARBEARBSCtEkBUEQRAEQRAEQRDSChFkBUEQBEEQBEEQhLRCBFlBEARBEARBEAQhrfj/mmWWShSvDrIAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"> ## i) Naive's Approach","metadata":{}},{"cell_type":"code","source":"dd= np.asarray(train.Weekly_Sales)\ny_hat = test.copy()\ny_hat['naive'] = dd[len(dd)-1]\nplt.figure(figsize=(12,8))\nplt.plot(train.index, train['Weekly_Sales'], label='Train')\nplt.plot(test.index,test['Weekly_Sales'], label='Test')\nplt.plot(y_hat.index,y_hat['naive'], label='Naive Forecast')\nplt.legend(loc='best')\nplt.title(\"Naive Forecast\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:25.409412Z","iopub.execute_input":"2021-08-07T19:14:25.409740Z","iopub.status.idle":"2021-08-07T19:14:25.645796Z","shell.execute_reply.started":"2021-08-07T19:14:25.409709Z","shell.execute_reply":"2021-08-07T19:14:25.645024Z"},"trusted":true},"execution_count":79,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 864x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"from sklearn.metrics import mean_squared_error,mean_absolute_error\nfrom math import sqrt\nmae_i = sqrt(mean_absolute_error(test.Weekly_Sales, y_hat.naive))\nprint(\"MAE :\",mae_i)\nrmse_i = sqrt(mean_squared_error(test.Weekly_Sales, y_hat.naive))\nprint(\"RMSE :\",rmse_i)\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:25.646910Z","iopub.execute_input":"2021-08-07T19:14:25.647438Z","iopub.status.idle":"2021-08-07T19:14:25.757751Z","shell.execute_reply.started":"2021-08-07T19:14:25.647377Z","shell.execute_reply":"2021-08-07T19:14:25.756722Z"},"trusted":true},"execution_count":80,"outputs":[{"name":"stdout","text":"MAE : 132.6629359190677\nRMSE : 20607.035599903684\n","output_type":"stream"}]},{"cell_type":"markdown","source":"> ## ii) Moving Average Model ","metadata":{}},{"cell_type":"code","source":"y_hat_avg = test.copy()\ny_hat_avg['moving_avg_forecast'] = train['Weekly_Sales'].rolling(60).mean().iloc[-1]\nplt.figure(figsize=(16,8))\nplt.plot(train['Weekly_Sales'], label='Train')\nplt.plot(test['Weekly_Sales'], label='Test')\nplt.plot(y_hat_avg['moving_avg_forecast'], label='Moving Average Forecast')\nplt.legend(loc='best')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:25.760069Z","iopub.execute_input":"2021-08-07T19:14:25.760418Z","iopub.status.idle":"2021-08-07T19:14:26.008204Z","shell.execute_reply.started":"2021-08-07T19:14:25.760371Z","shell.execute_reply":"2021-08-07T19:14:26.007206Z"},"trusted":true},"execution_count":81,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1152x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"mae_ii = sqrt(mean_absolute_error(test.Weekly_Sales, y_hat_avg.moving_avg_forecast))\nprint(\"MAE :\",mae_ii)\nrmse_ii = sqrt(mean_squared_error(test.Weekly_Sales, y_hat_avg.moving_avg_forecast))\nprint(\"RMSE is:\",rmse_ii)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:26.009416Z","iopub.execute_input":"2021-08-07T19:14:26.009700Z","iopub.status.idle":"2021-08-07T19:14:26.017980Z","shell.execute_reply.started":"2021-08-07T19:14:26.009674Z","shell.execute_reply":"2021-08-07T19:14:26.016704Z"},"trusted":true},"execution_count":82,"outputs":[{"name":"stdout","text":"MAE : 123.13537019611113\nRMSE is: 17164.03936989321\n","output_type":"stream"}]},{"cell_type":"markdown","source":"> ## iii) Holt's Linear Trend Model","metadata":{}},{"cell_type":"code","source":"import statsmodels.api as sm\nfrom statsmodels.tsa.holtwinters import Holt\ny_hat_avg = test.copy()\nmodel_fit = Holt(np.asarray(train['Weekly_Sales'])).fit()\ny_hat_avg['Holt_linear'] = model_fit.forecast(len(test))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:14:26.019455Z","iopub.execute_input":"2021-08-07T19:14:26.019781Z","iopub.status.idle":"2021-08-07T19:14:26.101853Z","shell.execute_reply.started":"2021-08-07T19:14:26.019752Z","shell.execute_reply":"2021-08-07T19:14:26.100753Z"},"trusted":true},"execution_count":83,"outputs":[]},{"cell_type":"code","source":"print('')\nprint('==Holt model Exponential Smoothing Parameters ==')\nprint('')\n#alpha_value = np.round(model_fit.params['smoothing_level'], 4)\n#beta_value = np.round(model_fit.params['smoothing_Slope'], 4)\n\nprint('Smoothing Level', alpha_value )\nprint('Smoothing Slope', beta_value)\nprint('Initial Level', np.round(model_fit.params['initial_level'], 4))\nprint('')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:03.811108Z","iopub.execute_input":"2021-08-07T19:18:03.811493Z","iopub.status.idle":"2021-08-07T19:18:03.819031Z","shell.execute_reply.started":"2021-08-07T19:18:03.811458Z","shell.execute_reply":"2021-08-07T19:18:03.817913Z"},"trusted":true},"execution_count":93,"outputs":[{"name":"stdout","text":"\n==Holt model Exponential Smoothing Parameters ==\n\nSmoothing Level 0.1936\nSmoothing Slope 0.1936\nInitial Level 24924.5\n\n","output_type":"stream"}]},{"cell_type":"code","source":"Pred_Holt = test.copy()\n\nPred_Holt['Opt'] = model_fit.forecast(len(test['Weekly_Sales']))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:16.730982Z","iopub.execute_input":"2021-08-07T19:18:16.731333Z","iopub.status.idle":"2021-08-07T19:18:16.751019Z","shell.execute_reply.started":"2021-08-07T19:18:16.731305Z","shell.execute_reply":"2021-08-07T19:18:16.749761Z"},"trusted":true},"execution_count":94,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16,8))\nplt.plot(tdf['Weekly_Sales'], label='Train')\nplt.plot(test['Weekly_Sales'], label='Test')\nplt.plot(Pred_Holt['Opt'], label='HoltOpt')\nplt.legend(loc='best')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:18.651212Z","iopub.execute_input":"2021-08-07T19:18:18.651592Z","iopub.status.idle":"2021-08-07T19:18:18.868121Z","shell.execute_reply.started":"2021-08-07T19:18:18.651561Z","shell.execute_reply":"2021-08-07T19:18:18.866944Z"},"trusted":true},"execution_count":95,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1152x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"df_pred_opt = pd.DataFrame({'Y_hat':Pred_Holt['Opt'] ,'Y':test['Weekly_Sales'].values})\n\nmae_iii= mean_absolute_error(df_pred_opt.Y, df_pred_opt.Y_hat)\nprint(\"MAE is \",mae_iii)\nrmse_iii= sqrt(mean_squared_error(df_pred_opt.Y, df_pred_opt.Y_hat))\nprint(\"RMSE is \",rmse_iii)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:19.665497Z","iopub.execute_input":"2021-08-07T19:18:19.665848Z","iopub.status.idle":"2021-08-07T19:18:19.675874Z","shell.execute_reply.started":"2021-08-07T19:18:19.665820Z","shell.execute_reply":"2021-08-07T19:18:19.674566Z"},"trusted":true},"execution_count":96,"outputs":[{"name":"stdout","text":"MAE is 408748.30125038815\nRMSE is 472702.643827191\n","output_type":"stream"}]},{"cell_type":"markdown","source":"> ## iv) Holt's Winter's Model","metadata":{}},{"cell_type":"code","source":"y_hat_avg = test.copy()\nfit_model = ExponentialSmoothing(np.asarray(train_df['Weekly_Sales']),seasonal_periods=20,trend='add',seasonal='add').fit()\ny_hat_avg['Holt winter']= fit_model.forecast(len(test))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:21.735431Z","iopub.execute_input":"2021-08-07T19:18:21.735796Z","iopub.status.idle":"2021-08-07T19:18:22.080573Z","shell.execute_reply.started":"2021-08-07T19:18:21.735764Z","shell.execute_reply":"2021-08-07T19:18:22.079495Z"},"trusted":true},"execution_count":97,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(16,8))\nplt.plot(tdf['Weekly_Sales'],label='Train')\nplt.plot(test['Weekly_Sales'],label='Test')\nplt.plot(y_hat_avg['Holt winter'],label='Holt winter')\nplt.legend()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:22.595180Z","iopub.execute_input":"2021-08-07T19:18:22.595560Z","iopub.status.idle":"2021-08-07T19:18:22.858706Z","shell.execute_reply.started":"2021-08-07T19:18:22.595530Z","shell.execute_reply":"2021-08-07T19:18:22.857635Z"},"trusted":true},"execution_count":98,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1152x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"rmse= np.sqrt(mean_squared_error(test['Weekly_Sales'],y_hat_avg['Holt winter']))\nfrom sklearn.metrics import mean_absolute_error\nmae_iv= mean_absolute_error(test['Weekly_Sales'],y_hat_avg['Holt winter'])\nprint('MAE : ',mae_iv)\nrmse_iv= sqrt(mean_squared_error(test['Weekly_Sales'],y_hat_avg['Holt winter']))\nprint('RMSE : ',rmse_iv)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:23.365052Z","iopub.execute_input":"2021-08-07T19:18:23.365458Z","iopub.status.idle":"2021-08-07T19:18:23.379108Z","shell.execute_reply.started":"2021-08-07T19:18:23.365414Z","shell.execute_reply":"2021-08-07T19:18:23.377930Z"},"trusted":true},"execution_count":99,"outputs":[{"name":"stdout","text":"MAE : 14263.041051768829\nRMSE : 17686.022978563164\n","output_type":"stream"}]},{"cell_type":"markdown","source":"> ## v) ARIMA Model","metadata":{}},{"cell_type":"markdown","source":"- We need to plot AF & PCAF first.\n","metadata":{}},{"cell_type":"code","source":"train_log = np.log(train['Weekly_Sales'])\ntest_log = np.log(test['Weekly_Sales'])\ntrain_log_diff = train_log - train_log.shift(1)\ntrain_log = train_log.dropna()\ntest_log = test_log.dropna()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:24.960591Z","iopub.execute_input":"2021-08-07T19:18:24.960953Z","iopub.status.idle":"2021-08-07T19:18:24.968969Z","shell.execute_reply.started":"2021-08-07T19:18:24.960925Z","shell.execute_reply":"2021-08-07T19:18:24.967719Z"},"trusted":true},"execution_count":100,"outputs":[]},{"cell_type":"code","source":"from statsmodels.tsa.stattools import acf,pacf\nlag_acf = acf(train_log_diff.dropna(), nlags=10)\nlag_pacf = pacf(train_log_diff.dropna(), nlags=10, method='ols')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:25.309982Z","iopub.execute_input":"2021-08-07T19:18:25.310323Z","iopub.status.idle":"2021-08-07T19:18:25.323143Z","shell.execute_reply.started":"2021-08-07T19:18:25.310294Z","shell.execute_reply":"2021-08-07T19:18:25.321689Z"},"trusted":true},"execution_count":101,"outputs":[]},{"cell_type":"code","source":"#Plot ACF & PACF : \nplt.figure(figsize=(15,6))\nplt.subplot(1,2,1)\nplt.plot(lag_acf)\nplt.axhline(y=0,linestyle='--',color='gray')\nplt.axhline(y=-7.96/np.sqrt(len(train_log_diff)),linestyle='--',color='gray')\nplt.axhline(y=7.96/np.sqrt(len(train_log_diff)),linestyle='--',color='gray')\nplt.title('Autocorrelation Function')\n\n#Plot PACF:\nplt.subplot(1,2,2)\nplt.plot(lag_pacf)\nplt.axhline(y=0,linestyle='--',color='gray')\nplt.axhline(y=-7.96/np.sqrt(len(train_log_diff)),linestyle='--',color='gray')\nplt.axhline(y=7.96/np.sqrt(len(train_log_diff)),linestyle='--',color='gray')\nplt.title('Partial Autocorrelation Function')\nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:25.785653Z","iopub.execute_input":"2021-08-07T19:18:25.786019Z","iopub.status.idle":"2021-08-07T19:18:26.299518Z","shell.execute_reply.started":"2021-08-07T19:18:25.785991Z","shell.execute_reply":"2021-08-07T19:18:26.298299Z"},"trusted":true},"execution_count":102,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x432 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"- Using the plot we can determine the values for p and q respectively :\n\n - p: the lag value where the PACF cuts off (drop to 0) for the first time. So here p = 1.\n - q: the lag value where the ACF chart crosses the upper confidence interval for the first time.so, q=1.","metadata":{}},{"cell_type":"code","source":"# Optimal values fot ARIMA(p,d,q) model are (1,1,1). Hence plot the ARIMA model using the value (1,1,1)\nfrom statsmodels.tsa.arima_model import ARIMA\nmodel = ARIMA(train_log, order=(2, 1, 1)) \nresults_ARIMA = model.fit(disp=-20,start_ar_lags= 40) \nplt.figure(figsize=(16,8))\nplt.plot(train_log_diff.dropna(),label='Actual')\nplt.plot(results_ARIMA.fittedvalues, color='red',label='Predictions')\nplt.legend(loc='upper right')\nsum = ((results_ARIMA.fittedvalues-train_log_diff)2).sum()\nplt.title('RSS: %.2f'% sum)\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:26.410439Z","iopub.execute_input":"2021-08-07T19:18:26.410831Z","iopub.status.idle":"2021-08-07T19:18:27.263171Z","shell.execute_reply.started":"2021-08-07T19:18:26.410802Z","shell.execute_reply":"2021-08-07T19:18:27.262070Z"},"trusted":true},"execution_count":103,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1152x576 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"fc, se, conf = results_ARIMA.forecast(300, alpha=0.05)\nfc.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:27.264805Z","iopub.execute_input":"2021-08-07T19:18:27.265419Z","iopub.status.idle":"2021-08-07T19:18:27.279773Z","shell.execute_reply.started":"2021-08-07T19:18:27.265355Z","shell.execute_reply":"2021-08-07T19:18:27.278511Z"},"trusted":true},"execution_count":104,"outputs":[{"execution_count":104,"output_type":"execute_result","data":{"text/plain":"(300,)"},"metadata":{}}]},{"cell_type":"code","source":"# Report performance\nmae_v = mean_absolute_error(test['Weekly_Sales'], fc)\nprint('MAE: ',mae_v)\nrmse_v = np.sqrt(mean_squared_error(test['Weekly_Sales'], fc))\nprint('RMSE: ',rmse_v)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:18:27.570733Z","iopub.execute_input":"2021-08-07T19:18:27.571514Z","iopub.status.idle":"2021-08-07T19:18:27.580413Z","shell.execute_reply.started":"2021-08-07T19:18:27.571451Z","shell.execute_reply":"2021-08-07T19:18:27.579461Z"},"trusted":true},"execution_count":105,"outputs":[{"name":"stdout","text":"MAE: 23660.2310363707\nRMSE: 27799.400136701755\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## 7. Model Evaluation","metadata":{}},{"cell_type":"markdown","source":"### Comparing all the models:","metadata":{}},{"cell_type":"markdown","source":"- Here, we are choosing Mean Absolute Error* as main for evaluation.","metadata":{}},{"cell_type":"code","source":"models = pd.DataFrame({\n 'Model': [ 'Naive Approch', 'Moving Average', \"Holt's Linear trend\",\n \"Holt Winter's Model\",\"ARIMA\"],\n 'MAE': [\n mae_i, \n mae_ii, \n mae_iii, \n mae_iv,\n mae_v]\n\n\n })\nprint(\"--------TIME FORECASTING MODELS---------\")\nmodels.sort_values(by='MAE', ascending=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T19:19:34.046478Z","iopub.execute_input":"2021-08-07T19:19:34.047037Z","iopub.status.idle":"2021-08-07T19:19:34.063929Z","shell.execute_reply.started":"2021-08-07T19:19:34.046988Z","shell.execute_reply":"2021-08-07T19:19:34.062821Z"},"trusted":true},"execution_count":107,"outputs":[{"name":"stdout","text":"--------TIME FORECASTING MODELS---------\n","output_type":"stream"},{"execution_count":107,"output_type":"execute_result","data":{"text/plain":" Model MAE\n1 Moving Average 123.135370\n0 Naive Approch 132.662936\n3 Holt Winter's Model 14263.041052\n4 ARIMA 23660.231036\n2 Holt's Linear trend 408748.301250","text/html":"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Model</th>\n <th>MAE</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>Moving Average</td>\n <td>123.135370</td>\n </tr>\n <tr>\n <th>0</th>\n <td>Naive Approch</td>\n <td>132.662936</td>\n </tr>\n <tr>\n <th>3</th>\n <td>Holt Winter's Model</td>\n <td>14263.041052</td>\n </tr>\n <tr>\n <th>4</th>\n <td>ARIMA</td>\n <td>23660.231036</td>\n </tr>\n <tr>\n <th>2</th>\n <td>Holt's Linear trend</td>\n <td>408748.301250</td>\n </tr>\n </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"## Conclusion:\n# For this dataset, Moving Average model is best suited for Forecasting.","metadata":{}},{"cell_type":"markdown","source":"![](https://www.geico.com/living/wp-content/uploads/writing-perfect-thank-you-post.jpg)","metadata":{}},{"cell_type":"markdown","source":"# Consider UPVOTING if you find it useful/fork this notebook!!🤓","metadata":{}},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}	0070/602/70602824.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz
{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "eligible-effect", "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2021-08-07T19:26:45.834326Z", "iopub.status.busy": "2021-08-07T19:26:45.833108Z", "iopub.status.idle": "2021-08-07T19:26:50.308134Z", "shell.execute_reply": "2021-08-07T19:26:50.308692Z", "shell.execute_reply.started": "2021-08-07T19:24:48.739132Z" }, "papermill": { "duration": 4.520548, "end_time": "2021-08-07T19:26:50.309049", "exception": false, "start_time": "2021-08-07T19:26:45.788501", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ " <script type=\"text/javascript\">\n", " window.PlotlyConfig = {MathJaxConfig: 'local'};\n", " if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n", " if (typeof require !== 'undefined') {\n", " require.undef(\"plotly\");\n", " requirejs.config({\n", " paths: {\n", " 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n", " }\n", " });\n", " require(['plotly'], function(Plotly) {\n", " window._Plotly = Plotly;\n", " });\n", " }\n", " </script>\n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# This Python 3 environment comes with many helpful analytics libraries installed\n", "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n", "# For example, here's several helpful packages to load\n", "\n", "# data mining libaries\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.preprocessing import LabelEncoder\n", "from sklearn.model_selection import train_test_split, KFold, StratifiedKFold, GridSearchCV, learning_curve\n", "from sklearn.metrics import roc_curve, auc, confusion_matrix, accuracy_score, f1_score, precision_score, recall_score, roc_auc_score\n", "# Using Skicit-learn to split data into training and testing sets\n", "from sklearn.model_selection import train_test_split\n", "\n", "# Import tools needed for visualization\n", "from sklearn.tree import export_graphviz\n", "import pydot\n", "\n", "import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "import seaborn as sn\n", "import matplotlib.pyplot as plt\n", "\n", "#plot libaries\n", "import plotly\n", "import plotly.graph_objs as go\n", "import plotly.figure_factory as ff\n", "from plotly.offline import init_notebook_mode\n", "init_notebook_mode(connected=True) # to show plots in notebook\n", "\n", "# online plotly\n", "#from plotly.plotly import plot, iplot\n", "#plotly.tools.set_credentials_file(username='XXXXXXXXXXXXXXX', api_key='XXXXXXXXXXXXXXX')\n", "\n", "# offline plotly\n", "from plotly.offline import plot, iplot\n", "\n", "# do not show any warnings\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "SEED = 17 # specify seed for reproducable results\n", "pd.set_option('display.max_columns', None) # prevents abbreviation (with '...') of columns in prints" ] }, { "cell_type": "markdown", "id": "rotary-corner", "metadata": { "papermill": { "duration": 0.039451, "end_time": "2021-08-07T19:26:50.388993", "exception": false, "start_time": "2021-08-07T19:26:50.349542", "status": "completed" }, "tags": [] }, "source": [ "DATASET ANALYSIS" ] }, { "cell_type": "code", "execution_count": 2, "id": "finished-arrangement", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:50.475210Z", "iopub.status.busy": "2021-08-07T19:26:50.474460Z", "iopub.status.idle": "2021-08-07T19:26:50.512608Z", "shell.execute_reply": "2021-08-07T19:26:50.511956Z", "shell.execute_reply.started": "2021-08-07T19:24:48.828426Z" }, "papermill": { "duration": 0.08379, "end_time": "2021-08-07T19:26:50.512797", "exception": false, "start_time": "2021-08-07T19:26:50.429007", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The dataset has 4394 rows and 15 columns.\n" ] } ], "source": [ "# load the dataset\n", "df = pd.read_csv('../input/datasetremovenan/S10e-6pm-20191122(kaggle).csv')\n", "print(\"The dataset has %d rows and %d columns.\" % df.shape)" ] }, { "cell_type": "code", "execution_count": 3, "id": "center-settlement", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:50.599405Z", "iopub.status.busy": "2021-08-07T19:26:50.598420Z", "iopub.status.idle": "2021-08-07T19:26:50.608826Z", "shell.execute_reply": "2021-08-07T19:26:50.608065Z", "shell.execute_reply.started": "2021-08-07T19:24:48.900907Z" }, "papermill": { "duration": 0.055477, "end_time": "2021-08-07T19:26:50.608986", "exception": false, "start_time": "2021-08-07T19:26:50.553509", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Count of NaN/NULL values: 0\n" ] } ], "source": [ "count_nan = df.isna().sum().sum()\n", "print ('Count of NaN/NULL values: ' + str(count_nan))" ] }, { "cell_type": "code", "execution_count": 4, "id": "corresponding-relay", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:50.694914Z", "iopub.status.busy": "2021-08-07T19:26:50.694250Z", "iopub.status.idle": "2021-08-07T19:26:50.733210Z", "shell.execute_reply": "2021-08-07T19:26:50.733720Z", "shell.execute_reply.started": "2021-08-07T19:24:48.958196Z" }, "papermill": { "duration": 0.083638, "end_time": "2021-08-07T19:26:50.733918", "exception": false, "start_time": "2021-08-07T19:26:50.650280", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Timestamp</th>\n", " <th>Longitude</th>\n", " <th>Latitude</th>\n", " <th>Speed</th>\n", " <th>RSRP</th>\n", " <th>RSRQ</th>\n", " <th>SNR</th>\n", " <th>LTE RSSI</th>\n", " <th>DL-bitrate</th>\n", " <th>UL-bitrate</th>\n", " <th>PSC</th>\n", " <th>Altitude</th>\n", " <th>Height</th>\n", " <th>Accuracy</th>\n", " <th>GEOMETRY</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49140</td>\n", " <td>44.232046</td>\n", " <td>0</td>\n", " <td>-98</td>\n", " <td>-12</td>\n", " <td>6.8</td>\n", " <td>-70</td>\n", " <td>153</td>\n", " <td>6466</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.4914 44.232046)</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232045</td>\n", " <td>0</td>\n", " <td>-98</td>\n", " <td>-12</td>\n", " <td>6.8</td>\n", " <td>-70</td>\n", " <td>15942</td>\n", " <td>1541</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232045)</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232046</td>\n", " <td>0</td>\n", " <td>-97</td>\n", " <td>-16</td>\n", " <td>5.6</td>\n", " <td>-68</td>\n", " <td>65979</td>\n", " <td>226</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232046)</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232044</td>\n", " <td>0</td>\n", " <td>-97</td>\n", " <td>-16</td>\n", " <td>5.6</td>\n", " <td>-68</td>\n", " <td>250</td>\n", " <td>8005</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232044)</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232045</td>\n", " <td>0</td>\n", " <td>-97</td>\n", " <td>-16</td>\n", " <td>4.4</td>\n", " <td>-73</td>\n", " <td>250</td>\n", " <td>8005</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232045)</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232045</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>37219</td>\n", " <td>126</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232045)</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232047</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>37219</td>\n", " <td>126</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.23204699999999)</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232047</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>48506</td>\n", " <td>133</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.23204699999999)</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232047</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>48506</td>\n", " <td>133</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.23204699999999)</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232048</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>48506</td>\n", " <td>133</td>\n", " <td>9</td>\n", " <td>62</td>\n", " <td>62</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232048)</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49139</td>\n", " <td>44.232048</td>\n", " <td>0</td>\n", " <td>-100</td>\n", " <td>-17</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>9</td>\n", " <td>62</td>\n", " <td>62</td>\n", " <td>3</td>\n", " <td>POINT (-76.49139 44.232048)</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49138</td>\n", " <td>44.232048</td>\n", " <td>0</td>\n", " <td>-96</td>\n", " <td>-10</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>9</td>\n", " <td>61</td>\n", " <td>61</td>\n", " <td>3</td>\n", " <td>POINT (-76.49138000000001 44.232048)</td>\n", " </tr>\n", " <tr>\n", " <th>12</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49137</td>\n", " <td>44.232048</td>\n", " <td>0</td>\n", " <td>-96</td>\n", " <td>-10</td>\n", " <td>4.0</td>\n", " <td>-72</td>\n", " <td>265</td>\n", " <td>8530</td>\n", " <td>9</td>\n", " <td>61</td>\n", " <td>61</td>\n", " <td>3</td>\n", " <td>POINT (-76.49136999999999 44.232048)</td>\n", " </tr>\n", " <tr>\n", " <th>13</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49137</td>\n", " <td>44.232049</td>\n", " <td>0</td>\n", " <td>-102</td>\n", " <td>-17</td>\n", " <td>4.4</td>\n", " <td>-70</td>\n", " <td>26007</td>\n", " <td>102</td>\n", " <td>9</td>\n", " <td>61</td>\n", " <td>61</td>\n", " <td>3</td>\n", " <td>POINT (-76.49136999999999 44.232049)</td>\n", " </tr>\n", " <tr>\n", " <th>14</th>\n", " <td>22-11-19 18:13</td>\n", " <td>-76.49138</td>\n", " <td>44.232054</td>\n", " <td>0</td>\n", " <td>-102</td>\n", " <td>-17</td>\n", " <td>6.2</td>\n", " <td>-70</td>\n", " <td>51747</td>\n", " <td>1627</td>\n", " <td>9</td>\n", " <td>61</td>\n", " <td>61</td>\n", " <td>3</td>\n", " <td>POINT (-76.49138000000001 44.232054)</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Timestamp Longitude Latitude Speed RSRP RSRQ SNR LTE RSSI \\\n", "0 22-11-19 18:13 -76.49140 44.232046 0 -98 -12 6.8 -70 \n", "1 22-11-19 18:13 -76.49139 44.232045 0 -98 -12 6.8 -70 \n", "2 22-11-19 18:13 -76.49139 44.232046 0 -97 -16 5.6 -68 \n", "3 22-11-19 18:13 -76.49139 44.232044 0 -97 -16 5.6 -68 \n", "4 22-11-19 18:13 -76.49139 44.232045 0 -97 -16 4.4 -73 \n", "5 22-11-19 18:13 -76.49139 44.232045 0 -100 -17 4.0 -72 \n", "6 22-11-19 18:13 -76.49139 44.232047 0 -100 -17 4.0 -72 \n", "7 22-11-19 18:13 -76.49139 44.232047 0 -100 -17 4.0 -72 \n", "8 22-11-19 18:13 -76.49139 44.232047 0 -100 -17 4.0 -72 \n", "9 22-11-19 18:13 -76.49139 44.232048 0 -100 -17 4.0 -72 \n", "10 22-11-19 18:13 -76.49139 44.232048 0 -100 -17 4.0 -72 \n", "11 22-11-19 18:13 -76.49138 44.232048 0 -96 -10 4.0 -72 \n", "12 22-11-19 18:13 -76.49137 44.232048 0 -96 -10 4.0 -72 \n", "13 22-11-19 18:13 -76.49137 44.232049 0 -102 -17 4.4 -70 \n", "14 22-11-19 18:13 -76.49138 44.232054 0 -102 -17 6.2 -70 \n", "\n", " DL-bitrate UL-bitrate PSC Altitude Height Accuracy \\\n", "0 153 6466 9 63 63 3 \n", "1 15942 1541 9 63 63 3 \n", "2 65979 226 9 63 63 3 \n", "3 250 8005 9 63 63 3 \n", "4 250 8005 9 63 63 3 \n", "5 37219 126 9 63 63 3 \n", "6 37219 126 9 63 63 3 \n", "7 48506 133 9 63 63 3 \n", "8 48506 133 9 63 63 3 \n", "9 48506 133 9 62 62 3 \n", "10 0 0 9 62 62 3 \n", "11 0 0 9 61 61 3 \n", "12 265 8530 9 61 61 3 \n", "13 26007 102 9 61 61 3 \n", "14 51747 1627 9 61 61 3 \n", "\n", " GEOMETRY \n", "0 POINT (-76.4914 44.232046) \n", "1 POINT (-76.49139 44.232045) \n", "2 POINT (-76.49139 44.232046) \n", "3 POINT (-76.49139 44.232044) \n", "4 POINT (-76.49139 44.232045) \n", "5 POINT (-76.49139 44.232045) \n", "6 POINT (-76.49139 44.23204699999999) \n", "7 POINT (-76.49139 44.23204699999999) \n", "8 POINT (-76.49139 44.23204699999999) \n", "9 POINT (-76.49139 44.232048) \n", "10 POINT (-76.49139 44.232048) \n", "11 POINT (-76.49138000000001 44.232048) \n", "12 POINT (-76.49136999999999 44.232048) \n", "13 POINT (-76.49136999999999 44.232049) \n", "14 POINT (-76.49138000000001 44.232054) " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(15)" ] }, { "cell_type": "code", "execution_count": 5, "id": "assisted-dating", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:50.821382Z", "iopub.status.busy": "2021-08-07T19:26:50.820634Z", "iopub.status.idle": "2021-08-07T19:26:50.823870Z", "shell.execute_reply": "2021-08-07T19:26:50.823345Z", "shell.execute_reply.started": "2021-08-07T19:24:48.999733Z" }, "papermill": { "duration": 0.049285, "end_time": "2021-08-07T19:26:50.824015", "exception": false, "start_time": "2021-08-07T19:26:50.774730", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def preprocess_data(df):\n", " pre_df = df.copy()\n", " pre_df = pre_df.drop(['Timestamp'], axis=1)\n", " pre_df = pre_df.drop(['GEOMETRY'], axis=1)\n", " pre_df = pre_df.drop(['UL-bitrate'], axis=1)\n", " return pre_df" ] }, { "cell_type": "code", "execution_count": 6, "id": "understood-source", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:50.924641Z", "iopub.status.busy": "2021-08-07T19:26:50.910153Z", "iopub.status.idle": "2021-08-07T19:26:50.927745Z", "shell.execute_reply": "2021-08-07T19:26:50.928335Z", "shell.execute_reply.started": "2021-08-07T19:24:49.142412Z" }, "papermill": { "duration": 0.064021, "end_time": "2021-08-07T19:26:50.928505", "exception": false, "start_time": "2021-08-07T19:26:50.864484", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Longitude</th>\n", " <th>Latitude</th>\n", " <th>Speed</th>\n", " <th>RSRP</th>\n", " <th>RSRQ</th>\n", " <th>SNR</th>\n", " <th>LTE RSSI</th>\n", " <th>DL-bitrate</th>\n", " <th>PSC</th>\n", " <th>Altitude</th>\n", " <th>Height</th>\n", " <th>Accuracy</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>-76.49140</td>\n", " <td>44.232046</td>\n", " <td>0</td>\n", " <td>-98</td>\n", " <td>-12</td>\n", " <td>6.8</td>\n", " <td>-70</td>\n", " <td>153</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>-76.49139</td>\n", " <td>44.232045</td>\n", " <td>0</td>\n", " <td>-98</td>\n", " <td>-12</td>\n", " <td>6.8</td>\n", " <td>-70</td>\n", " <td>15942</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>-76.49139</td>\n", " <td>44.232046</td>\n", " <td>0</td>\n", " <td>-97</td>\n", " <td>-16</td>\n", " <td>5.6</td>\n", " <td>-68</td>\n", " <td>65979</td>\n", " <td>9</td>\n", " <td>63</td>\n", " <td>63</td>\n", " <td>3</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Longitude Latitude Speed RSRP RSRQ SNR LTE RSSI DL-bitrate PSC \\\n", "0 -76.49140 44.232046 0 -98 -12 6.8 -70 153 9 \n", "1 -76.49139 44.232045 0 -98 -12 6.8 -70 15942 9 \n", "2 -76.49139 44.232046 0 -97 -16 5.6 -68 65979 9 \n", "\n", " Altitude Height Accuracy \n", "0 63 63 3 \n", "1 63 63 3 \n", "2 63 63 3 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_df = preprocess_data(df)\n", "pre_df.head(3)" ] }, { "cell_type": "code", "execution_count": 7, "id": "revised-prototype", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.012698Z", "iopub.status.busy": "2021-08-07T19:26:51.012054Z", "iopub.status.idle": "2021-08-07T19:26:51.016988Z", "shell.execute_reply": "2021-08-07T19:26:51.017493Z", "shell.execute_reply.started": "2021-08-07T19:24:49.183470Z" }, "papermill": { "duration": 0.048445, "end_time": "2021-08-07T19:26:51.017670", "exception": false, "start_time": "2021-08-07T19:26:50.969225", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The dataset has 4394 rows and 12 columns.\n" ] } ], "source": [ "print(\"The dataset has %d rows and %d columns.\" % pre_df.shape)" ] }, { "cell_type": "code", "execution_count": 8, "id": "ongoing-geometry", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.102591Z", "iopub.status.busy": "2021-08-07T19:26:51.101939Z", "iopub.status.idle": "2021-08-07T19:26:51.154744Z", "shell.execute_reply": "2021-08-07T19:26:51.155231Z", "shell.execute_reply.started": "2021-08-07T19:24:49.228513Z" }, "papermill": { "duration": 0.097001, "end_time": "2021-08-07T19:26:51.155405", "exception": false, "start_time": "2021-08-07T19:26:51.058404", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Longitude</th>\n", " <th>Latitude</th>\n", " <th>Speed</th>\n", " <th>RSRP</th>\n", " <th>RSRQ</th>\n", " <th>SNR</th>\n", " <th>LTE RSSI</th>\n", " <th>DL-bitrate</th>\n", " <th>PSC</th>\n", " <th>Altitude</th>\n", " <th>Height</th>\n", " <th>Accuracy</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " <td>4394.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>-76.544062</td>\n", " <td>44.239897</td>\n", " <td>28.555075</td>\n", " <td>-99.942421</td>\n", " <td>-12.044379</td>\n", " <td>8.420027</td>\n", " <td>-71.890760</td>\n", " <td>23596.440828</td>\n", " <td>204.403277</td>\n", " <td>57.596268</td>\n", " <td>57.596268</td>\n", " <td>6.070323</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>0.035548</td>\n", " <td>0.014441</td>\n", " <td>22.643061</td>\n", " <td>9.350796</td>\n", " <td>2.881385</td>\n", " <td>7.071762</td>\n", " <td>4.744354</td>\n", " <td>27771.711757</td>\n", " <td>162.717832</td>\n", " <td>9.703407</td>\n", " <td>9.703407</td>\n", " <td>3.476737</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>-76.593590</td>\n", " <td>44.218374</td>\n", " <td>0.000000</td>\n", " <td>-121.000000</td>\n", " <td>-20.000000</td>\n", " <td>-6.400000</td>\n", " <td>-85.000000</td>\n", " <td>0.000000</td>\n", " <td>9.000000</td>\n", " <td>30.000000</td>\n", " <td>30.000000</td>\n", " <td>3.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>-76.572810</td>\n", " <td>44.226384</td>\n", " <td>1.000000</td>\n", " <td>-106.000000</td>\n", " <td>-14.000000</td>\n", " <td>3.200000</td>\n", " <td>-75.000000</td>\n", " <td>100.000000</td>\n", " <td>63.000000</td>\n", " <td>49.000000</td>\n", " <td>49.000000</td>\n", " <td>3.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>-76.549740</td>\n", " <td>44.239508</td>\n", " <td>31.000000</td>\n", " <td>-100.000000</td>\n", " <td>-12.000000</td>\n", " <td>8.000000</td>\n", " <td>-72.000000</td>\n", " <td>11540.000000</td>\n", " <td>128.000000</td>\n", " <td>60.000000</td>\n", " <td>60.000000</td>\n", " <td>4.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>-76.507592</td>\n", " <td>44.254970</td>\n", " <td>48.000000</td>\n", " <td>-94.000000</td>\n", " <td>-10.000000</td>\n", " <td>13.200000</td>\n", " <td>-68.000000</td>\n", " <td>43152.000000</td>\n", " <td>348.000000</td>\n", " <td>63.000000</td>\n", " <td>63.000000</td>\n", " <td>10.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>-76.484530</td>\n", " <td>44.259702</td>\n", " <td>73.000000</td>\n", " <td>-76.000000</td>\n", " <td>-6.000000</td>\n", " <td>28.600000</td>\n", " <td>-63.000000</td>\n", " <td>117760.000000</td>\n", " <td>503.000000</td>\n", " <td>79.000000</td>\n", " <td>79.000000</td>\n", " <td>31.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Longitude Latitude Speed RSRP RSRQ \\\n", "count 4394.000000 4394.000000 4394.000000 4394.000000 4394.000000 \n", "mean -76.544062 44.239897 28.555075 -99.942421 -12.044379 \n", "std 0.035548 0.014441 22.643061 9.350796 2.881385 \n", "min -76.593590 44.218374 0.000000 -121.000000 -20.000000 \n", "25% -76.572810 44.226384 1.000000 -106.000000 -14.000000 \n", "50% -76.549740 44.239508 31.000000 -100.000000 -12.000000 \n", "75% -76.507592 44.254970 48.000000 -94.000000 -10.000000 \n", "max -76.484530 44.259702 73.000000 -76.000000 -6.000000 \n", "\n", " SNR LTE RSSI DL-bitrate PSC Altitude \\\n", "count 4394.000000 4394.000000 4394.000000 4394.000000 4394.000000 \n", "mean 8.420027 -71.890760 23596.440828 204.403277 57.596268 \n", "std 7.071762 4.744354 27771.711757 162.717832 9.703407 \n", "min -6.400000 -85.000000 0.000000 9.000000 30.000000 \n", "25% 3.200000 -75.000000 100.000000 63.000000 49.000000 \n", "50% 8.000000 -72.000000 11540.000000 128.000000 60.000000 \n", "75% 13.200000 -68.000000 43152.000000 348.000000 63.000000 \n", "max 28.600000 -63.000000 117760.000000 503.000000 79.000000 \n", "\n", " Height Accuracy \n", "count 4394.000000 4394.000000 \n", "mean 57.596268 6.070323 \n", "std 9.703407 3.476737 \n", "min 30.000000 3.000000 \n", "25% 49.000000 3.000000 \n", "50% 60.000000 4.000000 \n", "75% 63.000000 10.000000 \n", "max 79.000000 31.000000 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_df.describe()" ] }, { "cell_type": "markdown", "id": "valuable-comfort", "metadata": { "papermill": { "duration": 0.042367, "end_time": "2021-08-07T19:26:51.239809", "exception": false, "start_time": "2021-08-07T19:26:51.197442", "status": "completed" }, "tags": [] }, "source": [ "DATA VISUALIZATION" ] }, { "cell_type": "code", "execution_count": 9, "id": "reserved-rouge", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.329418Z", "iopub.status.busy": "2021-08-07T19:26:51.328755Z", "iopub.status.idle": "2021-08-07T19:26:51.482325Z", "shell.execute_reply": "2021-08-07T19:26:51.481638Z", "shell.execute_reply.started": "2021-08-07T19:24:49.291351Z" }, "papermill": { "duration": 0.200605, "end_time": "2021-08-07T19:26:51.482459", "exception": false, "start_time": "2021-08-07T19:26:51.281854", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='DL-bitrate'>" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sn.boxplot(x=pre_df['DL-bitrate'])" ] }, { "cell_type": "code", "execution_count": 10, "id": "integral-skirt", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.570776Z", "iopub.status.busy": "2021-08-07T19:26:51.570148Z", "iopub.status.idle": "2021-08-07T19:26:51.577736Z", "shell.execute_reply": "2021-08-07T19:26:51.578370Z", "shell.execute_reply.started": "2021-08-07T19:24:49.415242Z" }, "papermill": { "duration": 0.05335, "end_time": "2021-08-07T19:26:51.578538", "exception": false, "start_time": "2021-08-07T19:26:51.525188", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[1.48159646 0.5437593 1.26123959 ... 0.55695359 0.55695359 0.88320529]\n", " [1.4818778 0.54382855 1.26123959 ... 0.55695359 0.55695359 0.88320529]\n", " [1.4818778 0.5437593 1.26123959 ... 0.55695359 0.55695359 0.88320529]\n", " ...\n", " [1.66418659 0.61142374 1.26123959 ... 1.19520777 1.19520777 1.13040588]\n", " [1.66418659 0.61128523 1.26123959 ... 1.09213945 1.09213945 1.13040588]\n", " [1.66418659 0.61128523 1.26123959 ... 1.09213945 1.09213945 1.13040588]]\n" ] } ], "source": [ "from scipy import stats\n", "import numpy as np\n", "z = np.abs(stats.zscore(pre_df))\n", "print(z)" ] }, { "cell_type": "code", "execution_count": 11, "id": "resident-mayor", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.668528Z", "iopub.status.busy": "2021-08-07T19:26:51.667865Z", "iopub.status.idle": "2021-08-07T19:26:51.673680Z", "shell.execute_reply": "2021-08-07T19:26:51.674133Z", "shell.execute_reply.started": "2021-08-07T19:24:49.427100Z" }, "papermill": { "duration": 0.05215, "end_time": "2021-08-07T19:26:51.674306", "exception": false, "start_time": "2021-08-07T19:26:51.622156", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(array([149, 150, 151, 152, 172, 173, 174, 174, 175, 175, 176, 176]), array([ 7, 7, 7, 7, 11, 11, 7, 11, 7, 11, 7, 11]))\n" ] } ], "source": [ "threshold = 3\n", "print(np.where(z > 3))" ] }, { "cell_type": "code", "execution_count": 12, "id": "hairy-refund", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.766217Z", "iopub.status.busy": "2021-08-07T19:26:51.765279Z", "iopub.status.idle": "2021-08-07T19:26:51.769906Z", "shell.execute_reply": "2021-08-07T19:26:51.768719Z", "shell.execute_reply.started": "2021-08-07T19:24:49.448330Z" }, "papermill": { "duration": 0.052587, "end_time": "2021-08-07T19:26:51.770113", "exception": false, "start_time": "2021-08-07T19:26:51.717526", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.3910144553056107\n" ] } ], "source": [ "print(z[149][7])" ] }, { "cell_type": "code", "execution_count": 13, "id": "understanding-inventory", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.865092Z", "iopub.status.busy": "2021-08-07T19:26:51.864405Z", "iopub.status.idle": "2021-08-07T19:26:51.869197Z", "shell.execute_reply": "2021-08-07T19:26:51.869823Z", "shell.execute_reply.started": "2021-08-07T19:24:49.489430Z" }, "papermill": { "duration": 0.054177, "end_time": "2021-08-07T19:26:51.870014", "exception": false, "start_time": "2021-08-07T19:26:51.815837", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "pre_df = pre_df[(z < 3).all(axis=1)]" ] }, { "cell_type": "code", "execution_count": 14, "id": "invisible-helen", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:51.960741Z", "iopub.status.busy": "2021-08-07T19:26:51.960074Z", "iopub.status.idle": "2021-08-07T19:26:51.965498Z", "shell.execute_reply": "2021-08-07T19:26:51.964854Z", "shell.execute_reply.started": "2021-08-07T19:24:49.545323Z" }, "papermill": { "duration": 0.05193, "end_time": "2021-08-07T19:26:51.965645", "exception": false, "start_time": "2021-08-07T19:26:51.913715", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The dataset has 4385 rows and 12 columns.\n" ] } ], "source": [ "print(\"The dataset has %d rows and %d columns.\" % pre_df.shape)" ] }, { "cell_type": "code", "execution_count": 15, "id": "healthy-catalyst", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:52.062326Z", "iopub.status.busy": "2021-08-07T19:26:52.061271Z", "iopub.status.idle": "2021-08-07T19:26:52.107224Z", "shell.execute_reply": "2021-08-07T19:26:52.106554Z", "shell.execute_reply.started": "2021-08-07T19:24:49.604792Z" }, "papermill": { "duration": 0.097462, "end_time": "2021-08-07T19:26:52.107364", "exception": false, "start_time": "2021-08-07T19:26:52.009902", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Longitude</th>\n", " <th>Latitude</th>\n", " <th>Speed</th>\n", " <th>RSRP</th>\n", " <th>RSRQ</th>\n", " <th>SNR</th>\n", " <th>LTE RSSI</th>\n", " <th>DL-bitrate</th>\n", " <th>PSC</th>\n", " <th>Altitude</th>\n", " <th>Height</th>\n", " <th>Accuracy</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " <td>4385.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>-76.544159</td>\n", " <td>44.239912</td>\n", " <td>28.558951</td>\n", " <td>-99.959863</td>\n", " <td>-12.041961</td>\n", " <td>8.400137</td>\n", " <td>-71.901254</td>\n", " <td>23421.999316</td>\n", " <td>204.711973</td>\n", " <td>57.639225</td>\n", " <td>57.639225</td>\n", " <td>6.048803</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>0.035520</td>\n", " <td>0.014452</td>\n", " <td>22.665334</td>\n", " <td>9.352399</td>\n", " <td>2.882440</td>\n", " <td>7.065151</td>\n", " <td>4.742893</td>\n", " <td>27522.407455</td>\n", " <td>162.741862</td>\n", " <td>9.666841</td>\n", " <td>9.666841</td>\n", " <td>3.400353</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>-76.593590</td>\n", " <td>44.218374</td>\n", " <td>0.000000</td>\n", " <td>-121.000000</td>\n", " <td>-20.000000</td>\n", " <td>-6.400000</td>\n", " <td>-85.000000</td>\n", " <td>0.000000</td>\n", " <td>9.000000</td>\n", " <td>30.000000</td>\n", " <td>30.000000</td>\n", " <td>3.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>-76.572920</td>\n", " <td>44.226316</td>\n", " <td>1.000000</td>\n", " <td>-106.000000</td>\n", " <td>-14.000000</td>\n", " <td>3.200000</td>\n", " <td>-75.000000</td>\n", " <td>99.000000</td>\n", " <td>63.000000</td>\n", " <td>49.000000</td>\n", " <td>49.000000</td>\n", " <td>3.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>-76.549930</td>\n", " <td>44.239632</td>\n", " <td>31.000000</td>\n", " <td>-100.000000</td>\n", " <td>-12.000000</td>\n", " <td>8.000000</td>\n", " <td>-72.000000</td>\n", " <td>11464.000000</td>\n", " <td>128.000000</td>\n", " <td>60.000000</td>\n", " <td>60.000000</td>\n", " <td>4.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>-76.507780</td>\n", " <td>44.254970</td>\n", " <td>48.000000</td>\n", " <td>-94.000000</td>\n", " <td>-10.000000</td>\n", " <td>13.200000</td>\n", " <td>-68.000000</td>\n", " <td>43044.000000</td>\n", " <td>348.000000</td>\n", " <td>63.000000</td>\n", " <td>63.000000</td>\n", " <td>10.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>-76.484530</td>\n", " <td>44.259702</td>\n", " <td>73.000000</td>\n", " <td>-76.000000</td>\n", " <td>-6.000000</td>\n", " <td>28.600000</td>\n", " <td>-63.000000</td>\n", " <td>105085.000000</td>\n", " <td>503.000000</td>\n", " <td>79.000000</td>\n", " <td>79.000000</td>\n", " <td>13.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Longitude Latitude Speed RSRP RSRQ \\\n", "count 4385.000000 4385.000000 4385.000000 4385.000000 4385.000000 \n", "mean -76.544159 44.239912 28.558951 -99.959863 -12.041961 \n", "std 0.035520 0.014452 22.665334 9.352399 2.882440 \n", "min -76.593590 44.218374 0.000000 -121.000000 -20.000000 \n", "25% -76.572920 44.226316 1.000000 -106.000000 -14.000000 \n", "50% -76.549930 44.239632 31.000000 -100.000000 -12.000000 \n", "75% -76.507780 44.254970 48.000000 -94.000000 -10.000000 \n", "max -76.484530 44.259702 73.000000 -76.000000 -6.000000 \n", "\n", " SNR LTE RSSI DL-bitrate PSC Altitude \\\n", "count 4385.000000 4385.000000 4385.000000 4385.000000 4385.000000 \n", "mean 8.400137 -71.901254 23421.999316 204.711973 57.639225 \n", "std 7.065151 4.742893 27522.407455 162.741862 9.666841 \n", "min -6.400000 -85.000000 0.000000 9.000000 30.000000 \n", "25% 3.200000 -75.000000 99.000000 63.000000 49.000000 \n", "50% 8.000000 -72.000000 11464.000000 128.000000 60.000000 \n", "75% 13.200000 -68.000000 43044.000000 348.000000 63.000000 \n", "max 28.600000 -63.000000 105085.000000 503.000000 79.000000 \n", "\n", " Height Accuracy \n", "count 4385.000000 4385.000000 \n", "mean 57.639225 6.048803 \n", "std 9.666841 3.400353 \n", "min 30.000000 3.000000 \n", "25% 49.000000 3.000000 \n", "50% 60.000000 4.000000 \n", "75% 63.000000 10.000000 \n", "max 79.000000 13.000000 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_df.describe()" ] }, { "cell_type": "code", "execution_count": 16, "id": "superb-jacket", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:52.203433Z", "iopub.status.busy": "2021-08-07T19:26:52.202443Z", "iopub.status.idle": "2021-08-07T19:26:52.310992Z", "shell.execute_reply": "2021-08-07T19:26:52.310331Z", "shell.execute_reply.started": "2021-08-07T19:24:49.666786Z" }, "papermill": { "duration": 0.158744, "end_time": "2021-08-07T19:26:52.311140", "exception": false, "start_time": "2021-08-07T19:26:52.152396", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='DL-bitrate'>" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sn.boxplot(x=pre_df['DL-bitrate'])" ] }, { "cell_type": "code", "execution_count": 17, "id": "thirty-sherman", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:52.408923Z", "iopub.status.busy": "2021-08-07T19:26:52.408159Z", "iopub.status.idle": "2021-08-07T19:26:53.529128Z", "shell.execute_reply": "2021-08-07T19:26:53.528571Z", "shell.execute_reply.started": "2021-08-07T19:24:49.801480Z" }, "papermill": { "duration": 1.172208, "end_time": "2021-08-07T19:26:53.529262", "exception": false, "start_time": "2021-08-07T19:26:52.357054", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([[<AxesSubplot:title={'center':'LTE RSSI'}>]], dtype=object)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEICAYAAACzliQjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAATVUlEQVR4nO3df7DldX3f8ecrriiRyPLD3JBd2qUTTIruxIErkjGmF7EpoO06U4I4jC4OzU4TYjVsJy7ttJp0MsG0xB8da7MJNDDjgNSkwgSMIcht+iPQLEoFRMtKVtkVQRTWLOCP1Xf/OB+G69573d1z7j1n7/08HzNn7vf7+Xy+5/s5n/3u637P53zP96aqkCT14Ucm3QFJ0vgY+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr5WpSS7krxuzvq+OY/vJ3lmzvrFSd6T5LsHtHtykefekKTmtNuVZNsBbX4+yf9OsjfJN5L8rySvbHVHJbkqye45279/sb5LS8nQVxeq6phnH8CXgX88p+wjrdlH57arqrUHedq17fkuAP5Nkn8IkOTFwJ8C/xE4HlgH/Cbw7bbdFcA0cCbwY8AM8Omleq3SD7Nm0h2QVrqq2pHkfuAVwG3AS1v59a3JM8Cfz9nklcB/q6qvtPVd7SEtO8/0pRElOQt4ObCzFf0/4HtJrk1yXpLjDtjkTuDyJL+aZGOSjLO/6puhLz3nwiRPznnccZD2jyd5Bvgr4D8BHweoqm8CPw8U8AfA15LcnGSqbfc7wHuBi4EdwJ4km5f+5UjzGfrSc26sqrVzHmcfpP2JwDHAVgbz8s9/tqKqHqiqS6pqPYN3AT8JvL/Vfa+qPlRVrwbWAr8NXJPk7y/1C5IOZOhLI2gB/nvAt4BfXaTN54E/YhD+B9Y9U1UfAp4ATlvGrkqAoa/V7flJXjjnsZwXLlwJ/Ebbz88k2ZpkPUCSk4E3M5jLJ8k7k8wkOTrJmja182PAZ5axfxJg6Gt1u5XBlTPPPt5zkPZvOuA6/X1JfvwQ93ULg7P1Xwb+FngVcFeSpxiE/X0MpoEAngauAr4KPA5cBvzTqnrokF+ZNKT4R1QkqR+e6UtSRwx9SeqIoS9JHTH0JakjR/S9d0488cTasGHD0Ns/9dRTvOhFL1q6Dq0Cjsl8jsl8jsl8K2lM7r777ser6iUL1R3Rob9hwwZ27Ngx9Pazs7PMzMwsXYdWAcdkPsdkPsdkvpU0Jkm+tFid0zuS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXkoKGf5JokjyW5b07Z8UluS/Jg+3lcK0+SDybZmeSzSU6fs83m1v5B/zScJE3GoZzp/xFw7gFl24Dbq+pU4Pa2DnAecGp7bAE+DINfEsC7Gdxj/Ezg3Qv8sWhJ0jI76Ddyq+ovk2w4oHgTg78JCnAtMAu8q5VfV4Ob9N+ZZG2Sk1rb26rqGwBJbmPwi+T60V+CNBkbtt0ykf3uuvL1E9mvVodhb8MwVVWPtOWvAlNteR3w8Jx2u1vZYuXzJNnC4F0CU1NTzM7ODtlF2Ldv30jbr0aOyXzDjsnWjfuXvjOHYBz/fh4n862WMRn53jtVVUmW7M9vVdV2YDvA9PR0jXKvi5V0r4xxcUzmG3ZMLpnUmf7FM8u+D4+T+VbLmAx79c6jbdqG9vOxVr4HOHlOu/WtbLFySdIYDRv6NwPPXoGzGbhpTvlb21U8ZwF72zTQJ4FfTHJc+wD3F1uZJGmMDjq9k+R6Bh/EnphkN4OrcK4EbkxyKfAl4MLW/FbgfGAn8DTwNoCq+kaSfwf8dWv3W89+qCtJGp9DuXrnzYtUnbNA2wIuW+R5rgGuOazeSZKWlN/IlaSOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHVkpNBP8utJ7k9yX5Lrk7wwySlJ7kqyM8lHkxzV2r6gre9s9RuW5BVIkg7Z0KGfZB3wL4Dpqno58DzgIuC9wPuq6qeAJ4BL2yaXAk+08ve1dpKkMRp1emcNcHSSNcCPAo8ArwU+1uqvBd7Ylje1dVr9OUky4v4lSYchVTX8xsk7gN8GngH+HHgHcGc7myfJycAnqurlSe4Dzq2q3a3ui8CrqurxA55zC7AFYGpq6owbbrhh6P7t27ePY445ZujtVyPHZL5hx+TePXuXoTcHt3Hdscu+D4+T+VbSmJx99tl3V9X0QnVrhn3SJMcxOHs/BXgS+K/AucM+37OqajuwHWB6erpmZmaGfq7Z2VlG2X41ckzmG3ZMLtl2y9J35hDsunhm2ffhcTLfahmTUaZ3Xgf8TVV9raq+C/wJ8GpgbZvuAVgP7GnLe4CTAVr9scDXR9i/JOkwjRL6XwbOSvKjbW7+HOBzwB3ABa3NZuCmtnxzW6fVf6pGmVuSJB22oUO/qu5i8IHsp4F723NtB94FXJ5kJ3ACcHXb5GrghFZ+ObBthH5LkoYw9Jw+QFW9G3j3AcUPAWcu0PZbwC+Nsj9J0mj8Rq4kdWSkM31J47dhDFcNbd24f8Grk3Zd+fpl37eWl2f6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSMjhX6StUk+luTzSR5I8nNJjk9yW5IH28/jWtsk+WCSnUk+m+T0pXkJkqRDNeqZ/geAP6uqnwF+FngA2AbcXlWnAre3dYDzgFPbYwvw4RH3LUk6TEOHfpJjgV8Argaoqu9U1ZPAJuDa1uxa4I1teRNwXQ3cCaxNctKw+5ckHb5RzvRPAb4G/Jckn0nyh0leBExV1SOtzVeBqba8Dnh4zva7W5kkaUzWjLjt6cDbq+quJB/guakcAKqqktThPGmSLQymf5iammJ2dnboDu7bt2+k7Vcjx2S+Ycdk68b9S9+ZI8TU0Qu/vp6PndXyf2eU0N8N7K6qu9r6xxiE/qNJTqqqR9r0zWOtfg9w8pzt17eyH1BV24HtANPT0zUzMzN0B2dnZxll+9XIMZlv2DG5ZNstS9+ZI8TWjfu56t758bDr4pnxd+YIsVr+7ww9vVNVXwUeTvLTregc4HPAzcDmVrYZuKkt3wy8tV3Fcxawd840kCRpDEY50wd4O/CRJEcBDwFvY/CL5MYklwJfAi5sbW8Fzgd2Ak+3tpKkMRop9KvqHmB6gapzFmhbwGWj7E+SNBq/kStJHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI6M9IfRJfVlw7ZbJrLfXVe+fiL7XY0805ekjhj6ktQRp3e0oi3FdMPWjfu5ZELTFtK4eaYvSR3xTF+SFjH3neS43xEu14fXnulLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjox8yWaS5wE7gD1V9YYkpwA3ACcAdwNvqarvJHkBcB1wBvB14E1VtWvU/evIMKl7skg6PEtxpv8O4IE56+8F3ldVPwU8AVzayi8Fnmjl72vtJEljNFLoJ1kPvB74w7Ye4LXAx1qTa4E3tuVNbZ1Wf05rL0kak1HP9N8P/Abw/bZ+AvBkVe1v67uBdW15HfAwQKvf29pLksZk6Dn9JG8AHququ5PMLFWHkmwBtgBMTU0xOzs79HPt27dvpO1Xo+Uak60b9x+80RFq6uiV3f/lcKSNyaT+H88dg3GPyXK95lE+yH018E+SnA+8EHgx8AFgbZI17Wx+PbCntd8DnAzsTrIGOJbBB7o/oKq2A9sBpqena2ZmZugOzs7OMsr2q9FyjclKvkvl1o37uepeb0M11xE3Jvc+NaEdPzcG4x6TXRfPLMvzDj29U1VXVNX6qtoAXAR8qqouBu4ALmjNNgM3teWb2zqt/lNVVcPuX5J0+JbjOv13AZcn2clgzv7qVn41cEIrvxzYtgz7liT9EEvyXqWqZoHZtvwQcOYCbb4F/NJS7E+SNBy/kStJHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdWTNpDugpbNh2y0HbbN1434uOYR2klYnz/QlqSOGviR1xNCXpI4Y+pLUEUNfkjoydOgnOTnJHUk+l+T+JO9o5ccnuS3Jg+3nca08ST6YZGeSzyY5falehCTp0Ixypr8f2FpVpwFnAZclOQ3YBtxeVacCt7d1gPOAU9tjC/DhEfYtSRrC0KFfVY9U1afb8t8CDwDrgE3Ata3ZtcAb2/Im4LoauBNYm+SkYfcvSTp8qarRnyTZAPwl8HLgy1W1tpUHeKKq1ib5U+DKqvqfre524F1VteOA59rC4J0AU1NTZ9xwww1D92vfvn0cc8wxQ2+/0ty7Z+9B20wdDY8+M4bOrCCOyXyOyXzjHpON644detuzzz777qqaXqhu5G/kJjkG+GPgnVX1zUHOD1RVJTms3ypVtR3YDjA9PV0zMzND9212dpZRtl9pDuWbtls37ueqe/0i9lyOyXyOyXzjHpNdF88sy/OOdPVOkuczCPyPVNWftOJHn522aT8fa+V7gJPnbL6+lUmSxmSUq3cCXA08UFW/N6fqZmBzW94M3DSn/K3tKp6zgL1V9ciw+5ckHb5R3qu8GngLcG+Se1rZvwKuBG5McinwJeDCVncrcD6wE3gaeNsI+5YkDWHo0G8fyGaR6nMWaF/AZcPuT5I0Or+RK0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSR7y5xjLYcAj3wJGkSfBMX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdWTNpDuwnO7ds5dLtt0y6W5I0hHDM31J6sjYQz/JuUm+kGRnkm3j3r8k9WysoZ/kecCHgPOA04A3JzltnH2QpJ6N+0z/TGBnVT1UVd8BbgA2jbkPktStVNX4dpZcAJxbVf+srb8FeFVV/dqcNluALW31p4EvjLDLE4HHR9h+NXJM5nNM5nNM5ltJY/J3q+olC1UccVfvVNV2YPtSPFeSHVU1vRTPtVo4JvM5JvM5JvOtljEZ9/TOHuDkOevrW5kkaQzGHfp/DZya5JQkRwEXATePuQ+S1K2xTu9U1f4kvwZ8EngecE1V3b+Mu1ySaaJVxjGZzzGZzzGZb1WMyVg/yJUkTZbfyJWkjhj6ktSRVRf6SV6R5M4k9yTZkeTMVj6TZG8rvyfJv510X8flh4xJknyw3RLjs0lOn3RfxyXJR+ccC7uS3NPKNyR5Zk7df55wV8dqsXFpdVe0Y+ULSf7RBLs5dknenuTzSe5P8rutbEUeK0fcdfpL4HeB36yqTyQ5v63PtLr/UVVvmFjPJmexMTkPOLU9XgV8uP1c9arqTc8uJ7kK2Dun+otV9Yqxd+oIsNi4tNulXAS8DPhJ4C+SvLSqvjeRjo5RkrMZ3DngZ6vq20l+fE71ijtWVt2ZPlDAi9vyscBXJtiXI8ViY7IJuK4G7gTWJjlpEh2clCQBLgSun3RfjiQLjMsm4Iaq+nZV/Q2wk8FtVXrwK8CVVfVtgKp6bML9GclqDP13Av8+ycPAfwCumFP3c0n+b5JPJHnZRHo3Ge9k4TFZBzw8p93uVtaT1wCPVtWDc8pOSfKZJP89yWsm1bEJO3Bcej5WXgq8Jsld7Zh45Zy6FXesrMjpnSR/AfzEAlX/GjgH+PWq+uMkFwJXA68DPs3gfhT72hTHxxlMa6wKQ47JqvbDxqSqbmrLb+YHz/IfAf5OVX09yRnAx5O8rKq+uczdHZshx2VVO8j/nzXA8cBZwCuBG5P8PVbosbLqrtNPshdYW1XV3qLuraoXL9BuFzBdVSvlBkpDW2xMkvw+MFtV17d2XwBmquqRSfZ3XJKsYXAbkDOqavcibWaBf1lVO8bZt0laaFySXAFQVb/T1j8JvKeq/mpiHR2TJH8GvLeq7mjrXwTOqqqvHdBulhVwrKzG6Z2vAP+gLb8WeBAgyU+0wKNdvfIjwNcn0sPxW3BMGNwC463tKp6zGPwy6CLwm9cBn58b+EleksHffaCdzZ0KPDSh/k3KvHFhcKxclOQFSU5hMC7/ZyK9G7+PA2cDJHkpcBTw+Eo9Vlbk9M5B/DLwgXa28i2eu03zBcCvJNkPPANcVKvtbc7iFhuTW4HzGXwo9zTwtsl0b2IuYv4Uxi8Av5Xku8D3gX9eVd8Ye88ma964VNX9SW4EPgfsBy7r4cqd5hrgmiT3Ad8BNrd3zSvyWFl10zuSpMWtxukdSdIiDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUkf8PRozWs05KxKsAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "# pandas plot histogram\n", "pre_df.hist(column='DL-bitrate')\n", "pre_df.hist(column='Speed')\n", "pre_df.hist(column='RSRP')\n", "pre_df.hist(column='RSRQ')\n", "pre_df.hist(column='SNR')\n", "pre_df.hist(column='LTE RSSI')\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "level-cylinder", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:53.635226Z", "iopub.status.busy": "2021-08-07T19:26:53.634419Z", "iopub.status.idle": "2021-08-07T19:26:53.637543Z", "shell.execute_reply": "2021-08-07T19:26:53.637027Z", "shell.execute_reply.started": "2021-08-07T19:24:50.771751Z" }, "papermill": { "duration": 0.05803, "end_time": "2021-08-07T19:26:53.637701", "exception": false, "start_time": "2021-08-07T19:26:53.579671", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "fig_size = plt.rcParams[\"figure.figsize\"]\n", "fig_size[0] = 10\n", "fig_size[1] = 7\n", "plt.rcParams[\"figure.figsize\"] = fig_size" ] }, { "cell_type": "code", "execution_count": 19, "id": "coated-distribution", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:53.747005Z", "iopub.status.busy": "2021-08-07T19:26:53.746237Z", "iopub.status.idle": "2021-08-07T19:26:54.273098Z", "shell.execute_reply": "2021-08-07T19:26:54.273612Z", "shell.execute_reply.started": "2021-08-07T19:24:50.779202Z" }, "papermill": { "duration": 0.585782, "end_time": "2021-08-07T19:26:54.273802", "exception": false, "start_time": "2021-08-07T19:26:53.688020", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['LTE RSSI'], y=pre_df['SNR'], s=100,alpha=0.1, palette=\"icefire\", hue=pre_df['DL-bitrate'])\n", "plt.title('DL-bitrate relationship between SNR and LTE RSSI')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 20, "id": "numerous-explorer", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:54.385235Z", "iopub.status.busy": "2021-08-07T19:26:54.384573Z", "iopub.status.idle": "2021-08-07T19:26:54.860072Z", "shell.execute_reply": "2021-08-07T19:26:54.859385Z", "shell.execute_reply.started": "2021-08-07T19:24:51.340782Z" }, "papermill": { "duration": 0.532457, "end_time": "2021-08-07T19:26:54.860207", "exception": false, "start_time": "2021-08-07T19:26:54.327750", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['DL-bitrate'])\n", "plt.title('DL-bitrate in each geometry coordinates (kbps)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 21, "id": "legendary-processing", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:54.984120Z", "iopub.status.busy": "2021-08-07T19:26:54.983155Z", "iopub.status.idle": "2021-08-07T19:26:55.415304Z", "shell.execute_reply": "2021-08-07T19:26:55.414723Z", "shell.execute_reply.started": "2021-08-07T19:24:51.839681Z" }, "papermill": { "duration": 0.498847, "end_time": "2021-08-07T19:26:55.415460", "exception": false, "start_time": "2021-08-07T19:26:54.916613", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnwAAAG5CAYAAAAUIOnMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAADT+klEQVR4nOz9ebxlWV3Y/X++a629z3THmueubpqhaWgaoSEqYgsqhiA+RgQMMYwxDy+TIDGPmpioyU8jJmZQTB41QcUYUBIjEvQhYbADYZShmbuhm56qa751pzPsYa31/f2xT3XfLqqnulX33Fu13vU6r7pn73P2Xuucfe/5njV8l6gqSZIkSZIkyeXLTLoASZIkSZIkyaWVAr4kSZIkSZLLXAr4kiRJkiRJLnMp4EuSJEmSJLnMpYAvSZIkSZLkMpcCviRJkiRJkstcCviSZAsSkVtE5A0Ps+8fi8h/2ugyPRwRuVlEjky6HMn5icjvicgvjn/+DhG5fdJlejQislNEbhORzvj+w/4+XIRzqYhc+zD7vl9E/uhSnDdJLrYU8CXJ4yAizxORj4nIsoicEZGPishNky7XWqr6L1T1knz4JQ0ReY2I/J9Jl+NiU9WPqOqTL8axLmUQBvwM8HuqOroUBxeRbxWRjz3a41T1fwDXi8gNl6IcSXIxpYAvSR4jEZkB3gu8FdgG7Af+GVBOslzJ5iQidtJlONdmLNPjJSIt4NXAH1zC0/w14M8f42PfCfzYJSxLklwUKeBLksfuSQCq+k5VDao6UtX/papfgAdafT4qIr8xbgG8TUReePbJIjIrIm8TkWMicr+I/OLaD2AReZ2IfFVEFkXkf4rIVWv2fc/4eMsi8huAPFwhReQXROQPxj8fHndJvVpE7hWR0yLys4/w3JaI/Or4sSdE5DfXdJvNi8h7ReTUuIzvFZEDa567TUR+V0SOjve/+5xj/6SInBzX/7WPUIarReTDIrIqIh8QkX9/tj7j/X9l3Mq6JCKfF5Gb1+zbJyLvGbe+3iEif/uc1+W/isgfjI/9RRF5koj8o3G57hOR732090tErgN+E/hWEemLyNL48b8nIv+viPy5iAyAfzB+Dde+x39dRD7/MPXuiMi/FpF7xu/z/1nz2r9URL48rvMt4zKcfd51421L48e8dM2+c8v0XSLyTBH57Pg1+COgvebxD+l+F5G7ReQfisgXxmX6IxFpP9r1ICK/BHwH8Bvj1+g3xtufIiLvH78/t4vIy9ec68Ui8pVxue4XkX/4MJfIc4ElVT3vMAER2Tsu7/8zvn/L+L372Lgs/0NEtovIfxGRFRH5SxE5fM5hXsxDA77vFpGvj1/jfy8ia3//bqEJEJNkc1PVdEu3dHsMN2AGWADeDvxVYP6c/a8BPPBmIANeASwD28b7/wT4LaAH7AI+Bfyd8b4fAO4ArgMc8E+Aj4337QBWgZeNj/vm8Xne8DDl/AXgD8Y/HwYU+I9AB3gGTYvkdQ/z3H8LvIemBXMa+B/AL4/3bQd+COiO9/1X4N1rnvtnwB8B8+Nyfud4+83j8v7z8fYXA8NzX781x/k48KtADjwPWFlTn/3j9+DFNF9Yv2d8f+d4/4eB/0ATxNwInAJesOZ1KYAXjV/j3wfuAn52XK6/Ddy1phyP9H69Bvg/55T798bv97ePy9YGvgL81XOO+ZMPU+9/TxM87Acs8G1Ai+aLxmBc1wz4qfG1ko/v3wH84/H9F4yvlSc/TJlmgHt48Bp9GVADv7jmvTqypkx3j+u9b3xNfBX4vx/j9XALa67R8et4H/Da8ev/TOA08NTx/mPAd4x/nge+5WFepx8H/uycbbcAbwCuBr4G/Ng5++4AngDMjt+TrwHfveY6+N01j98L3A/I+L7StOzPAYdorqnvW/P4bePHzEz6b1S6pdsj3SZegHRLt610ownIfg84QhPEvAfYPd73GuDo2Q+K8bZPAT8K7KYJtDpr9v0I8Bfjn/8/4PVr9hmaoOgq4G8Bn1izT8bnfzwB34FzyvTK8zxPaAKLJ6zZ9q2sCYLOefyNwOL4571A5DxBHE0QMQLcmm0ngb9ynsceGr+u3TXb/mBNfX4a+M/nPOd/0nTxHQQCML1m3y/TjPU6+7q8f82+7wf6gB3fnx6/VnOP4f16DecP+H7/nG0/DfyX8c/bxu/p3vPU24xfo2ecZ98/Bd51zmPvH7+u3wEcB8ya/e8EfuF8ZQKezzdfox/jkQO+v7nm/r8EfvPRrofx/Vt4aMD3CuAj5zznt4CfH/98L/B3eJTAiSZA/8Nztt0C/JtxeX/kPPt+ds39fw38f+dcB7euuf964G1r7ivwvDX33wX8zJr72fgxhx6p3OmWbpO+OZIkecxU9as0H/aIyFNogpF/RxMMANyvqrrmKffQtI5cRfPBcGxNb5ChafFgvP/XRORfr3mu0LT27FvzOFRVReQ+Hp/ja34eAlPnecxOmtaaz6wpo9C0NiEiXZoWwO+jaYEBmB53WR4Ezqjq4sOcf0FV/WMow77xcYZrtt03Pj40r9MPi8j3r9mfAX+x5rmra/bdAzx7zf0Ta34eAadVNay5z7hc+3jk9+vhnLv/D4CvikgPeDlNwHPsPM/bQdMieOd59u0b1wMAVY3j938/TXB8n6rGNY+/Z7zvfGXax/mv0Udy7rWzDx75eljzmq51FfDcs13gYw74z+Off4imZfstIvIFmqDq4+c5ziJNcH6uV9G05P238+w7930/9/7aa/HFwDvOef4j/f6cLcvSec6bJJtGGsOXJBdIVW+jaUF52prN+88Z33OIpkXlPpoWox2qOje+zajq9ePH3UfTXTi35tZR1Y/RdHWdDXgYH/8gF99pmg+/69eUYVZVz364/STwZOC5qjpD01oETVB4H7BNRObWWYZj4+N012xbW9f7aFr41r5OPVV9C83rvE1E1gYDh2hawx6vR3u/9GGe95Dtqno/TRf1X6dp6f3P53sSzWtf0HQ7nusoTbAEPOT9v3+876CIrP1bfm6d15bpGOe/Ri/EI10P554Xmtf0f5/z3k2p6hsBVPUvVfUHaLrP303TknY+X2A8nvYcv0DzOr5DLnByiohkwHcC738cT7sOuFtVVy7knEmyUVLAlySP0XjA+U+uGZh+kKZl7xNrHrYL+PsikonID9N8GPz5uFXnfwH/WkRmRMSIyBNE5DvHz/tN4B+JyPXjY8+Onw/N2LjrxwP+HfD3gT0Xu37jVqL/CPxbEdk1Lsd+EXnR+CHTNAHhkohsA35+zXOP0XRL/4fxYP5MRJ7P46Sq9wCfBn5BRHIR+VaaLrez/gD4fhF5kTQTKNrjiQYHVPU+mu7JXx5vv4Gme+5xz+Z8DO/XCeCAiOSP4XC/TzPu7unAf3+Y80Xgd4B/I83EEytNapAWTeDz10TkheOA5CdpgtGPAZ+kaXH6qfFrfjPN6/WHD1OWj9O0Cp69Rv868JzHUIfzedjrYewEcM2a++8FniQiPzo+dyYiN0kz6SQXkVeJyKyq1jTjNiPn9ylgTkT2n7O9Bn6YZqzg758TBD9WzwO+8DiDt++kufaTZFNLAV+SPHarNDMEPynNjMdPAF+i+QA+65PAE2laGn4JeJmqLoz3/S2agfVfoemW+m80Y99Q1T8BfgX4QxFZGR/3r473nab5IHsLzQSFJwIfvUR1/GmabrFPjMvxAZpWHGi6rjvjun0CeN85z/1Rmg/d22jG6P3EBZbhVTRjBxeAX6SZCFICjIO6H6CZpHCKptXo/+HBv2U/QjNu8SjNBImfV9UPXGA5Hvb9Aj4EfBk4LiKnH+U4f0LTQvcn53RVn+sfAl8E/hI4Q3M9GFW9HfibNOmATtMEdN+vqpWqVuP7f3W87z8Af2vc+vxNxo//6zTDEs7QjKs7bxD6GPw7Hvl6+DXgZeMZvL8+7mr/XuCVNO/P8XEdW+PH/yhw9/i6+79proOHq8Pv0bwmD1e/3cDvXEDQ93jSsZz1IzRjEZNkUzs7CylJknUSkdfQDFJ/3qTLcjmRJnXIbap6bgvSliEid9J02V9o8JmsISI7gY8Az9SLmHxZRL5C8yXtK4/x8d8P/KiqvvxRH5wkE5Za+JIk2VTG3XxPGHejfh9Ni967J1ysCyYiP0Qznu1Dky7L5UJVT6nqUy5ysJfTzGh+TMHeuBz/IwV7yVaRZukmSbLZ7KHpZtxOk37mjar6uckW6cKIyC3AU2lagR5uTFqyCYy7g98y6XIkyaWSunSTJEmSJEkuc6lLN0mSJEmS5DJ3RXTp7tixQw8fPjzpYiRJkiRJkjyqz3zmM6dVdefFPOYVEfAdPnyYT3/605MuRpIkSZIkyaMSkUdbAedxS126SZIkSZIkl7kU8CVJkiRJklzmUsCXJEmSJElymbsixvAlSZIkSXL5qeuaI0eOUBTFpItyQdrtNgcOHCDLskt+rhTwJUmSJEmyJR05coTp6WkOHz6MiEy6OI+LqrKwsMCRI0e4+uqrL/n5UpdukiRJkiRbUlEUbN++fcsFewAiwvbt2zesdTIFfEmSJEmSbFlbMdg7ayPLngK+JEmSJEmSy1wK+JIkSZIkuaz90i/9Etdffz033HADN954I5/85Ccv2bluvvnmTbnYQ5q0kSRJkiTJZevjH/84733ve/nsZz9Lq9Xi9OnTVFU16WJtuEvewiciVkQ+JyLvPWf7r4tI/2Ge8z0i8hkR+eL4/xes2ZeLyG+LyNdE5DYR+aFLXYfLUYyROFohrhwlLh0hDk9PukhJkiRJctEdO3aMHTt20Gq1ANixYwf79u3j8OHD/NRP/RRPf/rTec5znsMdd9wBwKlTp/ihH/ohbrrpJm666SY++tGPAjAYDHjd617Hc57zHJ75zGfyp3/6pwCMRiNe+cpXct111/GDP/iDjEajyVT0UWxEC9+bgK8CM2c3iMizgflHeM5p4PtV9aiIPA34n8D+8b6fBU6q6pNExADbLk2xL19x9RQs3wOjk1CuMBquojGHfJ5KdjAcWvY8+0bc+JcjSZIkSbaq7/3e7+Wf//N/zpOe9CS++7u/m1e84hV853d+JwCzs7N88Ytf5Pd///f5iZ/4Cd773vfypje9iTe/+c0873nP49577+VFL3oRX/3qV/mlX/olXvCCF/A7v/M7LC0t8ZznPIfv/u7v5rd+67fodrt89atf5Qtf+ALf8i3fMuEan98lDfhE5ADw14BfAv7BeJsF/hXwN4AfPN/zVPVza+5+GeiISEtVS+B1wFPGj4s0wWHyGKgqunQPDO6G0RJoQVH0qVdWqBaWiFVA3DTSO8Td77ib+RuexLbrpsF0QDpgppAsn3Q1kiRJkuQxm5qa4jOf+Qwf+chH+Iu/+Ate8YpX8Ja3vAWAH/mRH3ng/ze/+c0AfOADH+ArX/nKA89fWVmh3+/zv/7X/+I973kPv/qrvwo0KWHuvfdePvzhD/P3//7fB+CGG27ghhtu2MjqPWaXuoXv3wE/BUyv2fZ3gfeo6rHHOB35h4DPqmopInPjbf8/EbkZuBP4u6p64twniciPAT8GcOjQoQss/uVF+6egPA5hBeyIohgStcJ02rR27qQ6vUAcrWA4Rn08cHxxxGjXM9g7dYSqNoQC4uqQ4DvEMMu2ZzwdsXbS1UqSJEmSR2St5eabb+bmm2/m6U9/Om9/+9uBh6ZFOftzjJFPfOITtNvthxxDVfnjP/5jnvzkJ29cwS+iSzaGT0ReQtP1+pk12/YBPwy89TEe43rgV4C/M97kgAPAx1T1W4CPA796vueq6m+r6rNV9dk7d+688IpcJtR7CCfQuIjqADU1EitUasgVmWqRb9+FWIcWK3T2TDG87evUn1+k6p8hLN5HWD1BtXCU6rZPUN33SY5/6IMcvedrDKslvL/yBsAmSZIkm9/tt9/O17/+9Qfu33rrrVx11VUA/NEf/dED/3/rt34r0HQBv/Wtb33I4wFe9KIX8da3vhVVBeBzn2s6I5///Ofzjne8A4AvfelLfOELX7i0FbpAl7KF79uBl4rIi4E2zRi+LwMlcMc4ku6KyB2qeu25Tx53B/8J8LdU9c7x5gVgCPz38f3/Crz+Etbh8lEtoWEFpUJNoKo9EUWdQVUx6mF2CrM8DcsrWBvQqk955CThyT1ghGiBmeqh2Sn8wlHC4ggtPMNenwUHYro4ZunmPabyKYxJWX+SJEmSyer3+/y9v/f3WFpawjnHtddey2//9m/z3ve+l8XFRW644QZarRbvfOc7Afj1X/91fvzHf5wbbrgB7z3Pf/7z+c3f/E3+6T/9p/zET/wEN9xwAzFGrr76at773vfyxje+kde+9rVcd911XHfddTzrWc+acI3PT85Gqpf0JE336z9U1Zecs72vqlPnefwc8L+Bf6aq//2cfX8I/LaqfkhEXgP8NVX94Uc6/7Of/WzdjDlxNlLs30so7yDWK6hfpfQlcVAiMSJqkKiITlMtesp77sazk+O33En36Tdy9f91DRruI/qAlo7yxEnqU0vUAyV2rmb6mU+lf7BgFAORnNzMkNGjZVtktkXLtZhpzzx6IZMkSZLkcfjqV7/Kddddd0HPPXz4MJ/+9KfZsWPHRS7V43O+OojIZ1T12RfzPJsmD5+IvBR4tqr+HM04v2uBnxORnxs/5HtV9STw08B/FpF/B5wCXjuJ8m41USq8iUQRIoZaDOoMxoNRMGIAwXRnUc2oBxVlUTGzfQb0DCCg4/8ERAMSPbE4w+j+Pu5Ai6g1XkeMfI2VPqEUgkJucrq2w3Q+zXR7lpZpkbt8Sy+HkyRJkiRbyYYEfKp6C3DLebZPrfn5PcB7xj//IvCLD3Ose4DnX4pyXs6CRGoVojEEkwORaJUYK0TBKdh2G10x0Jql/9VTuNkdTB3ch+q9aFRQQaNAURKjNgFgUAg1qAHxBB+otSQYRdURY2CoBaPQZ6k+w3Q1g2AxQO4cue3SMjntrIM1BqLBAsZkZFk22RctSZIkuWzdfffdky7Chto0LXzJpRNjpEapsVSmTW0cqpZoHS2TQ1UgxuC6OyhXTrByX8Hg+IDt3/kdzF4FGj2oomTEQZ9YVhAC0QvRWmKvhaghasQTCFFBK4yx+BhBIlEF1RIfPB3XoogVtgaDxZiMjslBFTGKk4i1GV3bpUWLloEseiyCxBb0dmJSepgkSZIkecxSwHcFUA0UURmSUymUGonSxrVaBATXiliEquqwdNsiUebY+eKns/PbDmL1dsII0JxQQ720ihY1oVRwU2hrG90nzbIqS2hUgkYUUJSzP4UYiEDUQAiBzGb4GAl4ECCMKICO66AasFJjApTi6CHU6umGIS4EnFrMYJZg9yA7DmNcCvySJEmS5NGkgO8KUMeKUYBVr1QaqYKiKJmxGJRONk2sc1pVztR1N+KeMcPObsRoRVntRKoBdX9IOHmUsLpKqEDdDCo7aD/xGmq3Qq0BrxFVQAUjFh+VeDbs00gkIEQqXyESmuBQAxojmc0Y1QN6roU3ASMRU/cZSkSkg40VsR4QasXWJ3H5GUzdJ+x+KjZvP9pL8LiEULN8x73oaAQ7ppndthOT50SaPEzGGDhn/KGIwHgCVJqdnCRJkmw2KeC7ApR1Rb8eseI9XpUIgFBFxQBRhazdZWb7Qaaf+OBKdVoOaOWLDIsTmJV7UOmiuUHyKcTM0d21E3lSZNlEalWiOlDFWoeIQ4MSYyQQH2jvMyqcjY0iEY2RqBGCxxqIto3GCFoR8fgQqARsURGWl7GDEbbyWDmDmR7RUrCHLs4yNrEuWPzC5ynuuYvq6EnqpUWkM8PgqmvoXrcP9rRYUqVWg48tQsgo64zCRwajyHAUqaJiRejmlpluTic3qIEQIyF6kECWGTrWMtVyGAPOQvQ1KoqRSIbBSoYYA5JRhpoqRIwobdOh7SxqmjGVMdTUsUSlSarpjCF3jhg8kRoAg0FpYayAQAyeECMiBktzHiMQoqJagyjWZOQmGz8fvK8BbZ5j26goMfpmmwrWnl2GT4hRERGMMQ8Ev49ngo73fvw8JcaAArWvCdREdDzG0xDVo36EaoUxBhEw4nCmwmgEH/ExUi1W+NXICMu+659+Ua6VJEmSrSYFfFeAyntW65o6RAKgOBh3txoMIx9pSSTGc1qtWj2EHlOHDsChZ3H6S1/F9StCDrOHM1bNiGEc4aOgOEQMzjgUS1SDxoAgCCBiiDHiJMMZyzAUiEIURVQxAjRtaE1wGAKRgImBugpkRYmMSvA1Wtf4/ipmCLE0MHOAbG7Xul6juHqGpa9/hvKeO7B+SHun0t4+x+hMwfInP0J57InMfttTyPblrGrNSjCE4CiqLidX4fRyoKwhxmbiiTEwlTs6LSHPlL4vwICxEWeULIO5tmMmEyopcFJhrWJVMWLIs4ycNsPgGfrAKERUhVwMvbxDjqNiiGqNSCATJXeW3FpaAmIqBH/2bcaYFibmeAlUsQJVolqcOAwtfPSo1Ci+eR8xdPIWmVEMoyaQF8WIw4Zu86LZmhib48TaEGhT+BIfAiJKZnM64siAlgv4qoS+p14sGR1ZYXSmpLVjD+Ypu+ltswx0SBEC3scmeLNtrIAPBV5rogYyI4ganLNYrXF2iDXgIlhRrGQEbZPHktAf4vsF9arHrwT80QWO3f114o5D7H/uRc12kCTJFe5973sfb3rTmwgh8IY3vIGf+ZmfmXSRvkkK+K4AIy0ooserISA0UQAQA8GARGEUA/ooPZE7nvZgnqAQAlovY/0Kw7pPFUtyMdTeM4o1QWvEGKw4RIVAxBmHlZwQHiyFwRBFMdI8xpwNOjUiQAwVUgsxxAcLogJEYl0xuvcIMf8Sc899wQW/PrEqGJy6nXDfV7BhBSViDEQxdHe0sd1DrH756wy2b6c326PV6WA0slzVVEEJwVKoUHmhjpHQNHxRVAEpAi0XabcMldQYA7lTrEaG1YhBR+jlkWhK8gBOFGOg70dYGWBNizoGfFSqCANVluohPdsitxGvJU6aILJSg6kqWi6jbTOcqRD1iIEQBygWF6fwcUgct8SVYlFdRaJBEVQiVmpqgaLwdLIWUyZDZUCkCcxrPY1IDxc6REbEGKkCVDGC9Ch0hAawAbyDtuSUKwXm1Gn8cgE1SJYhWnDqA19g6t7rCd/7RMxsRekHVCr4EIm1YjSnZTNK7SMCZVCsgIuKc46WN2RuBKYZNqCAjSVVlRGWl4nDGq08Yiy27Vj6yEfIDz6Jo17Y9+2bMzlqkiRbSwiBH//xH+f9738/Bw4c4KabbuKlL30pT33qUyddtIdIAd8VoA4ejZZCa4qqQsf/nFg6WU6NEOM3DUt7RNZaZuw2Zmi6gIu6oPQFRV2wXC3Rr1eoCYToCTGQieBEsCZjFAYYzUAiISrWGAyCs1ME9RgjiLFNUmivGDW44CF4iIrEOI5ZM/zQI0ePru8FGt6Pnr6DyAhpOcy4y1lCgFjQns2oDuxkeOfddK//FtodgehRjdR1hbEtnAoDQKMQxulr6lDSQggSyY2j9mBVURPJQqSSGluDc5ZIQAWiARuEQI3B0EJB3bjLtSao4GOgjhXbTZdafZMeURX1NVZqCDWOFg5DkACqBFGMVtRqwFqir4iihOibq0EimUxB9HiNWFtjNFD6GuumyawCHmITQNK0vyKqBGpUPEYMdVgil5yC5n0vQ0RDQTbyuBDAjJ9fVbTmc9p7uix84hNs600x9z1tnBOqugZthh+EMCLQwYghUCOEZtynNF3wNp9BNGJiRCRgcEQ/wNcZRizGVk3GIBOwMy2ybdOMbrsNutvwz9yP6+5Z37WTJMmWcuc7PsBn/vHbGNx3it7BnTzrX7yeJ/yN717XMT/1qU9x7bXXcs011wDwyle+kj/90z9NAV+y8aIII+8ZhaaVr/nAFCJKqAO9LMNKi9x0L/gc7axNO2sz24GdcRf9cplBPWTkR3gCaKAMJcN6QG6y8QSIiBWLBaJGpmybmj4iBmNzRDxOclyMiC+RGJCgEAJITgyWanEJOHPB5VbvoTzVjANr5xijTYAQFfEOQiT4kt6+eYovnqAceOysIqIYhKBVk67GGGIzbAzV8WuriouCBiGESIgBEAjjrmujDH2g64U8a96XAGCa9DaiAat2PCHEAkKISiCgPjI0llwg2khQJRJAFNFApY5Mx8myrTaBEopogdNZaimIqtAssAdiQWsQg1IRNALNcatYkBk3Xpavyb+o1CAFQguROA4aFSRg6SAUzchNDdShJPhA12YYU6I2NOMTqWnvnaV/10mKr3yNePPz6JgRQ0ZNt77G8ZeCmizrEkPR3KcJYi05pR9iscR2xAjE2FxrWoM6B8YgJoBp3jM710OOnmH0jTs49qlr2fu8Hs5NX/D1kyTJ1nHnOz7AR3/s3xCGJQCDe0/y0R/7NwDrCvruv/9+Dh48+MD9AwcO8MlPfnJ9hb0EUsB3Bag9VFEI0VDHgGozIB5jQZQqgKNFbi7O5WCMYaYzz0xnHmg+hKtQMapGDEOfQdWnDCWRiFHBNREfBX0ceRNMCTg1tLIRbuU0piiwUTF1RKuI5POEZaVaXMXO7LvwwoY+So20MqTliE5BI0QBF5FgMTXYbhtp50RtViQRtJmUK2v6wcfj5c6nGcm49qHj5DUxPvAUfeDWbGniMSUaAQKi48BKm+AqxIhYS9RIFLCxKZMi45nRitiHHlWJWOI4r+KD/0TBq8eKQ4kQI9E06XqUZnKPnm1NfKAqodmj420am5cjPhisMf5SYaISjCBGMAAmYq3grCHrOorTJ/BfXsY8y5KpUEvzusSz5w0RldicQ/TBVV/UQ9Ya328KohpoBoWeTdmjTSB89r0QKE8uEgdDRmGBVrTk+YV/2UmSZGv4zD9+2wPB3llhWPKZf/y2dbfybQUp4LvMxRgpNAAWMTmCJwZPZmzzwYlBxJG7HGvtJSmDMbaZXZp1mB93AVfViEJrdJwixseCMo7w0YN4nDHNjN54EusG4FeRAlQdbmonxVJg+I17qZcqus9eR8BHRK3BTLeII4NIHLemAdGgAcQoptUj372Hzm7LijPjmDDgTEap9oHZx9YKISgmGlQsYrSZ+GAVp81kDmMFawVFyDNHZgxoQGwTp4g04yrN+LWLjFc5ETAIIs3ax01SnaZVj3HwKdKMfRRAjCA4oEYRkGaSDjQPEG0eKdDMzG3mv44n2UhzrvGrNE44gxDHR38wTFUZr7c33iY83GDQcYsjD6awYVyCUEWQjCbEe4TnP3CL4zMZVJsvLiCICiIWNY4Y6qYLHdu0Dosl9ItmZAAWrDCqlgg2Yu1Vl+z6T5Jkcxjcd+pxbX+s9u/fz3333ffA/SNHjrB///51HfNSSAHfZa5STwxNuopYB0RzjLpmVYzomcpa5LTJLlLr3mOV5x1yOg+7X7VpyTr29T4y2InpbkPcAL+4Sv+OE5T3n8Avl9i9B4mzFz5DNyJoZqDXwe3YiY8GCBAjMhxCXYIRzMw2uvunEVMzkHHCapuRhTZRm5yDmRWiNvOS1UIva4LFbtuiQbFGsKYJ6jJpAr6OWHLXrG/spJm0IVgQcM5gcfg4bmMTg5WmE9Y6S6/VotQRVmwz2UObyS+ZWHKbjVvnAhEBHYd60iaIB23CRU9zvqgRIxkx1ggWO+4CBUNuclRCs96yjpP6mAxDTk2FGbc6Ami0xLNBqdK01mYWGSkm+iY2Dc1jow94L4RRRWvPfrIDbWoKgsRmprMoqs3EH2Mtok0IakQw0szkta6NsQHBNuczBhMzomYYXzZxpa+JmhFWa+ozy/giMHX1QexV2yniAsv1KlXM2DV18HyXSJIkl4newZ0M7j153u3rcdNNN/H1r3+du+66i/379/OHf/iHvOMd71jXMS+FFPBd5nxUBt5TeGFYKaX6Jk+aRjp5hskszlqs3Vzr1ooIIsLO3R2O/qWj+PwXqE4cg7pEfSDaFvmew3Se+Rz2PXW66b58PLNOzrKW0jrozhKNwmiV6EMToM31oJomF4OaefInLbPSzYkaEHVMuTY25qwYoeM8JkC0glqDM9BpGzqZwThl4EtaBsQ2k1ScjUzlOTO5xTMkdxmZgBnP0lV15GQEbQKfiGKMA4UOjo6zWBEyLG68HF3mmlbR3Ga0TIaRiqgOJzyQADuXbjNpRiwawZkcVcXFplXNiEHFNcGdVGQ2JzM5hv54GbyzrXwZhi45fWps0+anFmscRR2IZBhTI0Ry28W2PTIsEQ1AE/QJLaqTZ6j7gfnnPBGdX6aUHNQ+0LJoVLGuRYgBY2wT7NHkJEQimbRxDLGSY1FEIi7rEirfXCdeUWmj3jK482583xPMLPmTnoDbt8BSPcSjLBZHcdJlW2/7xbh8kyTZhJ71L17/kDF8ALbb4ln/4vXrOq5zjt/4jd/gRS96ESEEXve613H99devt7gXXQr4LnODcsRqVbMyLOmHQDVeFzezDqeGQa1MW0tbNuelYHuBfU/dx7FOF3viBPH0AgBm+3by3XvYe3UPm3lEzw4ke3ya9X8zohSQedQ6qBXxoCZiejOYfBeiPSpynCi9aGlnGYQWse3Y2VGG04HVIlLUARGhk1t6uSNzQhk8ZfCMQoVKwFplKnP0MsHYQJQ2dRhhJAARhyO3OQbHSl1SB09mwGgks5bpvE1bcoo4IFeLNU0XuEOZyjvkYjBmSFTBSIuoYCXDxBYFFc500QhqDE4sGg3RQtAKJGKkmUyTG0PuDFYKDO0mGB233hnaiCiRHKvNkEdjLHU0RClx5FixZMbRyhwZQ7B9QrDgFaRFtVLRv3eJuZuezfRzd6G5UMcRIk3i7kyElm1hyagYgOZYa8jEYnG0XI6zAxwdHK7JKShtrMkxrQFxRwdZKihOLtP//DcYneijU7vZdtPTsTc9kZEeJeAJwVAzYKk8zmx7LnXtJsll6uw4vYs9SxfgxS9+MS9+8YvXfZxLaXN+yicXzWpVs1QU9GONb0b0ExGCKoOyasZtKTizOT/kRC2xeye79h8lXPssBjwVk1s6/ePY8CXo7Qe2o8Ej5vGvq1vWAyL9JiG1y5pE0a55LZrAIwNp0WntYzrrXVAdVJWoig+K1/DgGDnhgRVIal8Sgic2o+2wxo0nIChD76ljjUaaAMplD3ahak1Qj2DIjCHPczJpUpsoFYy7RcFhjUUJ+NCsaaxAJg6xFgWqUI8TOccmhY60sDYSfYFIPR5HaLFiEatNh7BGYqBpIQ6KMTW5q5vua3G0xJKbGpdHKrsN+iOq5ZLieB9fDdj5whdin7GD3lybgppO6OKlacVs2xZOXbOqhzRJvA2KISd3HTInRK9YIiIWkRzrmtVLjFMG9CmP3UtYrbDbr2Fq93W4XTtwN0xRyP0Mqj5ewROJGujXfU70T7Bvdj1jQpMk2cye8De++4qYoHE+KeC7zJ0aDigDzTitWBMAI83AdxWovVIGaGWPP1jaCFUYEZeXUTONGX6R6VA0O7Iu0cygK4uYbAobax6clfnYKdU4j5wCrpmwITqeXyCoCJ6CEP0F/7KICFaa8Xstzh9Yd1zrvNsB5i7gnO3N1UMPQLsV0HnQg3Bqz2n23TwHxqDGICJMcwHrED/cW25garbD1DN3svrUIwyLBaIpKGLFsDpCRU0dlYA2q8JIpNSKQRiwWvWZzqfWWdskSZLNJQV8lzEfI8tVgY8RVDDGolFwKoQYaWc5ZtwVZ2VztvD5fh9WV8BUkLUfTINSDFC/jJqMqjOgPee5gBF8xHErmOg4GYrYcTqRB+enRglNmpFkfax9YI7t7t27N+y0HbubFc6wWg2IWuM1ELRJKuMV6ti0dHqUUTVgYbhAx7ZxNv15TJLk8pH+ol3GBkVBUXtijM1SVQrWGKIqdvzha40lt0LHbdJLYWWAVhUigVg3SZkRRREkChqVOCjhArpzAVSaVB5RbJOpTuvxHgtix4lJDLJJA+Lk0TmXMZXvZ6keUocBtSpRPUENPgI4Cg1YHCuxpj9cQMVxaGpPGs+XJMllY5N+yicXw2JZ4L0yzrMLGKIGokKTtENwxrCj1duUH2z9MyfxKwVS1ojU47Fm44VqgRgVNEN8hskfPsXLIxFxgEW1QKlR3Pj4AaMepQNisbZ9saqVTMBsZzuDapXT8eh4LGKznCACdYhEtWAsQz/CR2XkIyZarppPS68lSXJ5SAHfZarynpP9AUYNlgwUMgN1UJyl6dJ1OVMuY1f3wiYjXGo2jBidXiGfmkb9GbQaIsY14+tik6tN23P41Qu/jA2tJjecd5S2TVEVqEaczcmzHOsr8qx1YSlfkk1lR2cfVYysVmcYxD5KpA4eNMOaFv3aU6pH1aLViDtXjtI1OTtnt0266EmSJOv2OEdIJ1vFPYvLnFwtWSkDPkCORQOglrZt0XY5XZexqzvN9s0a8JULSJZTHF8m+imiTDdrpFaAToHMEJcVWUfrmxVDFadYrmGlXKaIRTN436+yXCxRapsQmxVLkq0tz3N2T+2lm83TMXNk9HDSpVLLal1RxhofmiXriuBZqofcNzpDVdePfvAkSa5Yr3vd69i1axdPe9rTHtj2C7/wC+zfv58bb7yRG2+8kT//8z+fYAkbKeC7DB1bWuKLx09z70qfU4OKlbKm8MqojExnGS4apvOc7Z0u+3rT5NkmnNIJWAbYnV1i31Pee5JwusCXLXzVplqpKY6uUA8Ndu/eCz5HHQKjUFIpaOhS+5zaZ4TQJYQuZfBUMQLh4lUsmZhO1mFHdwfWdChCpO8jhY9UwVOFSASCKkEiZQycKVY4PVqcdLGTJNnEXvOa1/C+973vm7a/+c1v5tZbb+XWW2/dFDn6UpfuZWa1qPjc0TMcWRkxqGtqPCYKZfTkuWGlqNk7M8V01mI+b7Ottzlb9zQGiDXtfBm59mqGd95Fcd9pxAo4A2qQbXvpXvdEegcOXfB5gkAZPV4NZShBhDhehkxUacLOgvng2aRxcfI4zbRmmK9HnBguU/qCGlAVFIhnZ2srWCJFrDk9WmWq1WOmtTl/V5IkeezqT3+Q+s9/B108hczvJHvx68ie/cJ1HfP5z38+d99998Up4CWUWvguI6rKbacWuHtphZGv8RrRIASUYMB7JTM5wUPLGGZaLWZbm3QyQqwIQdF6ibx9ku51B+g8/Qayg08g23s1nafdwNQz9tPZ1cHmF16H2iuVhyoGohq8NuvaBhWCNmsR1yqU+ItYuWSSRISdnW3M5lNYl2Ew6HjBuKCKKoTYJMiOMbLqRxwZnKYKqWs3Sbay+tMfpHrXv0UXTwKKLp6kete/pf70By/J+X7jN36DG264gde97nUsLk6+pyAFfJeRoyur3LWwzCh4AvGBcWchRHI1qEDpPQElN5Y9U9ObdjJC9AU+RIiAjsi5j870Sab2B6YOQXv6FI4lMA+fsPixCAhVPLv6CM0EXW1afJpcbc16xGkI3+Uldzn7p/bQlhaiFsUABtUmf2UIkRgDkcBqPeTo4BT3LR8jhNS1nyRbVf3nvwN1ec7Gstl+kb3xjW/kzjvv5NZbb2Xv3r385E/+5EU/x+OVAr7LxPJoxJ2nF1n2JUEjIcbxahFgjFCr4qRZ3L5lLfOtLvOdC0tlshFCWRMXj0M+B7aZmYsLYPsgfbCKZrPUqyvrOo+oQcUS1BANRDHjW7M+bIhQYXDpV+Wys3d6G4en99B2bTIchibwy8RgjcE5S4g1ZT1kVA+4b3iSo4MTky52kiQXSBdPPa7t67F7926stRhj+Nt/+2/zqU996qKf4/FKn2KXgZGv+cbiGVZ0RG6VVgucU6wRVALGGHJrMWLJxDLlWlw1O7VpW/cAtK7hzAA9dQqyeWhtb5IrmxZks2i2DT1xPyyvL+CzkoM64gMrtcZx516zHJ1iEZocbcnl5+rZvVzd28Fce5q2a9M1GYKj59qoBpx1eBOJKIUvONI/wcLwzKSLnSTJBZD5nY9r+3ocO3bsgZ//5E/+5CEzeCclTdrY4urguWvxGP16gKOm2/aUIUIu1B60Ns2yaiLkVphqOQ7PT7NtenMPQFcsGh2sLMLKMsxMQ95rWvr6A3T1eJNQep3VsMbSMi1iHOFsRnscBAtQqlIFaEnOJo6Nk3XInePw3F5YhtNxlZUIpdRYo+RkVDoCDIoSVBn6AaeK08zk02QuzeJJkq0ke/HrqN71bx/arZu1yF78unUd90d+5Ee45ZZbOH36NAcOHOCf/bN/xi233MKtt96KiHD48GF+67d+a52lX78U8G1hdV1zV/8Yp0eL9OOIigAKnbbivGE11pBnBA9GoJNZrtk2zXV7dky66I/KdnvUUzvQM0dACzhzGuQ0iKBekQihM4/Np9d1HieGPLN0Yw+VEUIJGkEM7Zhjsy7RSgr4LmO9Voe90zuoNVCbEhMiQ1+gEhFVjCgiEInU6ulXfRaKM+yZ2rj1gJMkWb+zs3Ev9izdd77znd+07fWvf/26jnkppIBvCzsxOsWpwXFKrVGtIUbECk5Bs4xtNmdYGCqxtG3O1XOzPHP/LvJNuIzauZxrQWuKOL0LWbof8RWqHhGDikGzHnR3Qnd9rSzOGaadRWOJ4pEQaBJ0COpKxBisbTNO1pFcpubb0/SrEQvFIlED1ggiggYDBoJGjBqQSO1rVssVulmHmdbMpIueJMnjkD37hesO8LaqFPBtUSujFU4NjhO0bgIhEzBGsSqIA6MBI46847C02NXt8bTd25lrb9I0LOfKMvI9M5SDXWiM6GgVYoUKkHXRzixmaob29vV94MYQaBNRL9i6jZSGYCLKKppl0DJgSmJKyXFZExH29raxUCxSF82XJwWCCRAV0UgwkQyLNzVn/BmkH2kZRyvrTrr4SZIkjyoFfFuQDzUL5XEKHRKoERNxEdRGiLbpfoxK5oS2yemaHtdu27Zpkyyfj4iQTeXInpzCzONbXULlEVFsnmO7Od19bWzrwvtaVRVb9mmPCszSAnHlfmJV4ciRmR2EqTaBIda0cK589AMmW1rmMvZ3d9Gv+4xEqUOFIAQiagIWARXEB2KMLMVT2L6wv3eYPM8nXfwkSZJHlAK+LUZVWRydZuT7CIo1QIBaFKcgNqLR4gwYUaZczoHeDLun1zfWbTIUmWvjZIj0FeubSeW2FTEdR9XOaccaypKFO79GXFlidHyR8mSJ7txF/sTt7J8DZxSsgBE0c03LXRSQEit9MKvQsQjbMMtHoVhCT51CVnaS7T0MZoBppfxrV4Jd09uodMR9/WP0BXxdoKI4ySB42rZFkBpoVntZrhZouzZ78wtf7SVJkmQjpIBvi+mXS6xWi8RQkwl4D4hgLdTBIBHUNvnlcrHs6HTZPze3qVOwPBzFU6+egkqxvWmsjrMiG4GqD4t9iqxFXPoaMvgK8dQZXFBM17H0ubsYfXEaef5z2LfrCC4M0byLtnJoRch6qOsi/gwSBmA80nGo3QcLR5tltkYnkYU24nbgOhVs3rSFyUW0t7eHWpUzo1MMo6XUIWLAGodIBI1EIkYdZaw5Uy7QddPMduYnXfQkSZKHlQK+LWRUDlmqTlOEAQUj6uABxRlLCEpuDZUoYLA45ltT7J3ahjVbM91iUZToaoFQId6DPrgUhkZB1cLqEDKLbTtiKxKLVTTUzFzdY/m2kyx96OPw8ps5UH8aqkUIO2laZ4YoMxByMIMmI6UOIWtDdw7qkxhrYeUksm0PEtJSG1cKay37p3YSqRE9gwuRCo9oIMQaYxQxBiSgKGUcshKW6YVpnE1/UpMk2Zy2ZiRwhVqqT7NYnWYQVvGxJkiNpyBoBRKwquTGkIthxnXZ39nFdHvrDijXIkI5Qr1HPWhQNDD+OUJVQr+iGmVYF3Dz2zHtHOuAepne/imGt3+D+muniTiIHsrTzXppVYB6QBMc0yRWFtOkZWn3kCxHjENCja0FTGreu5LktsXuzg5y5zAmInhUPGKbYC+qEqLioxKCpyyHLA0XJl3sJEkmoCgKnvOc5/CMZzyD66+/np//+Z8H4K677uK5z30u1157La94xSuoqmqi5UwB3xaxUiyxODqBDxURRVFEBDGGoB4RyJyjYx3TWZeDU3vYMb190sVeF12pUXK0rIlljdY1WlfEqkbLGo059dIIRn3QCtsx2HYbyS3iwHYD3X1TlPccQ2e+BYjgC6g9xAC+BAYgU1gRmtkuAhKbJM/G4UyGiAW3dSa8JBfHVD7N9s52MuPIjMOKwUjzJ1NUiURCDFQhMqgKTpanWS6WJlvoJEk2XKvV4kMf+hCf//znufXWW3nf+97HJz7xCX76p3+aN7/5zdxxxx3Mz8/ztre9baLlTAHfFrFan6GKNapNMljQZnlZMWTGIgaMGHp2hn3dfeyc3jPpIq9bWBVi3UW1BT6iVUTL0LTQaZvgO9THz4ANiNbN2MVuG2MNYiLgMb0MGKdUieNcejE0Ax2NofkV8ABYLBZwAg6Dow2teWjPY7tzG139ZBPY1dnNVDZLJgYnBoMgygPrVas2wwtW6gELxQr3rRxlqVyddLGTJHkYOrgdPf676P2/3vw/uH3dxxQRpqamgGZBhLquERE+9KEP8bKXvQyAV7/61bz73e9e97nWIwV8W0BZjxhUqyg1USNRI80UDMUYEDE4HJk6ZvMZtnV3TbjEF4ed3UZ93yli3wFzqPRQmULDNGFZKO+6D/I2LdMHtBnjJ2cv6aa1TlRob9uBrHwZpEmojHVgFDEOXA5iH3g86oBmfV2iwOx+zI7DW3LSS7J+1mbs7u2jk02TmRYW1wR5gDEWcIjNKLSmiBUL1TJHVo9R1ylvY5JsNjq4HZY/CGH8pSyswvIHL0rQF0LgxhtvZNeuXXzP93wPT3jCE5ibm8O5ZlzvgQMHuP/++9d9nvVII4y3gKFfodYKYtO6IDBeC2L8z1hELM5m9LLZy2bguHvik6nuvYPqvq8gRpFODqroaITWNdKZJdu1A2UJRZAAWtfECBoEcV1CFsiesBOjR5sXLu80AZ9TxGao7QA1BGleVNuC2kKwMH8VHPwW3BbvGk/WZ7Y9RwyHOFkco88qTfbvgFEL1tIfjwUFQ+k9J4eLTGU9Ds/un3DJkyR5iNWPNYPA11LfbO89eV2HttZy6623srS0xA/+4A9y2223ret4l8LlERlcxkKoKepVDBE5u5KGGqIRgoZxAGiwCF03x2x326SLfNF0Oh38M55JGZR4/C50aQWiJ7oOZmqe1jVX4fYERAyhMMQAcTCEOiBZj+DbTD3jMHunDKYcolkHzXdAZsB1IN+JEUdszYBtNxM36Da5bvY/AXYcJG9vxfyFycU225mj0rJZYC9YfCwptMSHulmRQxUhoKL4oJwoFpltzTCfrp8k2TzCwwy3eLjtF2Bubo7v+q7v4uMf/zhLS0t473HOceTIEfbvn+yXwBTwbXKDqk+tJaJKwKOiaASrglFDEDAqtG2H+fblE+ydNX3wCWTtjPK+PcSTxyAGTMfhtnVx24XM1ZRxGpN3CafOgDG4bbvI2vuo/Dw7987hRh+H9naktw3yHG21oDvfdP86wUSDybtIpwvZHLI7jXRIHsoYw/bODkaxYLHsU+EJKkQEr83YUI2gUUEi/XLE8dUz9LI2uV3fes9Jklwkdvr8wZ1d3xezU6dOkWUZc3NzjEYj3v/+9/PTP/3TfNd3fRf/7b/9N175ylfy9re/nR/4gR9Y13nWKwV8m5iqMqgXGdUDSkYInkBAjBCAzHTIMGAcs9kOZi/DgA+gvfMQ+bbd6OAMvjyJCyWSVYjNgYyWtABF3Tx2/kmM+o75vfMYP6SZ4fEdTVdtbhGXY2wPzVqoCEYEkRTgJY/O2Yxtre2c6a8wogY84xTMEJWgSpRIFg1lHVnJRhztL3LVzM40BjRJNoPpb2vG8K3t1hXXbF+HY8eO8epXv5oQmmUXX/7yl/OSl7yEpz71qbzyla/kn/yTf8Izn/lMXv/616+zAuuTAr5NbLVcZhCW8QwRAiKK00gUiCoEPLlM0clmmO/snHRxLyljWzCzF8te1NfjlCoGcTkyHhQ7Nds89rF8V0sfv8mFmGnNsK27ndXVEbUoEhUNARVDHUMzd96AaODUaJVRHWiZjL3TaRWOJJk06T25GZax+rGmpc9Ow/S3Iescv3fDDTfwuc997pu2X3PNNXzqU59a17EvphTwbWJFvUo4G+yhGAFtlnDHCBgEm1m6WY9OduXkiROXgUvdZMlk7OntYKVa5dhoiUBEidRBCQpWhJGvCerA1Kz4FeIZyJ1le2dm0kVPkiue9J687gkaW1Xqy9rE6riKEDAScSaQieKMYkWanGAGJEQymcJs0eXTkmSraWdtDs3sZ3trlo5pN+lapEnQHVRw0qIgMAo1I19xoljhywvHGNblpIueJMkVLEUJm1RVD1EzwhHIraNlHC1ryK1pJpmK4hCszei5tOxXkmykufYM+7u7mWvN03EdMsnIaONroQqBynuqGFCFMnpODBe5e/H0pIudJMkVLHXpblJeSzLRpu8WBRECFkskIoQIaiwt6dBqbd31cpNkq9ozvY0q1pQxMPCBOpR4gRghEBE1zSQrhSLUHBmeYX65zd7ZlNcxSZKNl1r4NqmgQ5wIzgoOjyWSCWTWYY0htw6HYSpP44KSZBJEhH3T25l2XYIKVVSiClEVMERRVCNeI7VGRrHgxGiRlXIw6aInSXIFSgHfJhRCILKCMUMsBSIepMJoiWhJbg1OMrpumm42N+niJskVK7MZV81sZ9Z1sFiMGBDB0KRVQoQQA6inrkvOlCvcu3KUYQr6kiTZYCng24TKsIhIHyNVs/iDVYxRDBGrHksgd23a2TT5FTQ7N0k2o7n2FPunttPNcjJjcWLACFYgagA8zoLYwCj2OVWe4Bsrd7FSLE+66EmSXCQhBJ75zGfykpe8BIDXvOY1XH311dx4443ceOON3HrrrZMtIGkM36akDFAKRCBDMNYSFdQogoAImSjGtCdd1CRJgMMzO1iu+ty7uohqQVRBxYB62tYCngzBGVCNDPxpjg1r0APMXOY5NJPkSvBrv/ZrXHfddaysrDyw7V/9q3/Fy172sgmW6qFSC98mpIxAA4qOp2hEnAiZsWTGkRlBDVhSwJckm0E7y3jy/H7292aYb3WYzXJ6NmPKQm4NMy7H2IjgQT2BilG9yHJ5lFFxatLFT5Irxmp1B/euvpNvrPxH7l19J6vVHes+5pEjR/izP/sz3vCGN1yEEl46KeDbZOq6QrXJ16UIIhYeuIGKND9jMaTZuUmyWcy1uzxlfj97e/Nsz6eYyXOmWx16GTgbMdSoVIgJiFYERgzDaZare1gd3E0IYdJVSJLL2mp1B6eLj+C1D4DXPqeLj6w76PuJn/gJ/uW//JfflA/3Z3/2Z7nhhht485vfTFlOPg9nCvg2magjIiBYLA6Dw2ABh9CsLqEqWHq08pR/L0k2k23daa6a3cVsp03POdpOaBnF2Rprm5Z6Q0DxKCNCHOBZYRi/wUrxdYqimHQVkuSytVj+JYp/yDbFs1j+5QUf873vfS+7du3iWc961kO2//Iv/zK33XYbf/mXf8mZM2f4lV/5lQs+x8WSAr5NRhmNF08DaLp1m+1NECjkNK17j2XF2CRJNtrO9jT7ujvouRa5UXKr5EAu4MTjJGDEYwFjIURPiCVFvI9hdQdV1Z90FZLksnS2Ze+xbn8sPvrRj/Ke97yHw4cP88pXvpIPfehD/M2/+TfZu3cvIkKr1eK1r33tplhTNwV8m0xgCDJCUGhSLI9vTbufoYXQI5OUfy9JNiMRYU9vnn1T25hyGW3ryKzQss1kK2sDTppVsZ0qhBo1NVFHlHKGojxGXY8mXY0kuew4mXpc2x+LX/7lX+bIkSPcfffd/OEf/iEveMEL+IM/+AOOHTsGNOmZ3v3ud/O0pz3tgs9xsaRZuptIVQ+AAUJExKDqYDx1o4nMA4rFyBzWpvF7SbJZGWPY19tDjCOWq5N4DSgBVX1g9n3LGax1WBNQagIGw4ghpyhL6OkuuvnspKuSJJeN+dZNnC4+8pBuXcEx37rpop/rVa96FadOnUJVufHGG/nN3/zNi36OxysFfJtKv0myHKVJv4KlCfgcKk32/rNdu+cODk2SZHOx1rKvdxW5GFbrE9SqBDxODE4smQUTayIRrKISiNSUuoJTKIpVKr+Pue6eSVclSS4L0/m1QDOWz2sfJ1PMt256YPt63Xzzzdx8880AfOhDH7oox7yYUsC3iYh6RANEgWgAASJiI6KCGodisJJNuqhJkjwGWZaxe/ow3aLF0J+ijEuI1Bj1iGnG6KppWv40CEqBMdN48dR+icqXVKFgvr2fLEu/90myXtP5tRctwNtqUsC3SagqhBKpPBoriBUYBXVgMsibAFCsxZBPurhJkjxGxhhmu/vJizaDOlDpGVQjKjVqFVQIqhhxRI2gUIWSQASUVX8cLZTtsh/n0u9+kiQXJgV8m0U9gmqIGSwSw+DBMQbWgemCm0NEsNpGbJqhmyRbTae9nRgE1UjNGVQDKiBEjELUCiM9VFoEXQUsSqRSGNanQJX5zl7yLKVjSpLk8UsB32ZRncEMjxKKJaTyED1qImQOXI2IRTrbMGaGzKaunSTZinq9bZgRDGJOySKiBVFrUMXKDCoZte+jRBQIRAyRYazICCyWA2bDQdrtuUlXJUmSLSYFfJtEWD2BXx4QRjnarxEMtFvYriA2YOhDezvW9iZd1CRJ1qHT2YYxHbLqGCNZJOiQWjyq4H2Nb6ZxoNQAqBoMEY2emlOshhItDtNp75hsRZIk2VJSwLcJxHJEudgnHO1T7HsWbJ9C+n3yr72f2HaY3TtxTsnKGumkMTxJstW1Wh2cuwqp2iz54/iwjNdy3LIn41W0FRSMCEYFrx4nNVVcZsg9aGHotrdNuipJkmwRKeDbBEaLxznNThgZyr/4DGFU4LrTtA5+C3pgG/P3fhhxB3BTIDYFfElyObDWMtXaQ1Rh2dcEFKjHq+sEULCSIRpwrodKSYwBiFQsQzwCUtPOdqY0TUkyYUtLS7zhDW/gS1/6EiLC7/zO7/DkJz+ZV7ziFdx9990cPnyYd73rXczPz0+sjOmvxCawcs8S/iOf4fQf/zH9//MRhp/+FIvvfz/H/8u7qD78OVa230QYlERtI9ZOurhJklwkxhjmunuZaR+mY+cwtBEcohYrHUTBkmNVkVhBDKiWRIbUnGHg76Rf3ENVVZOuSpJc0d70pjfxfd/3fdx22218/vOf57rrruMtb3kLL3zhC/n617/OC1/4Qt7ylrdMtIyphW8TqL9xB4PPfJJWT9GOQFQ0WEIxYvl/fwTX7TB4zlPJnCVN10iSy898ZzdOclb0OCO/QBBQhcx1mglcDDGiqHhEAFWi1KjWBL2XUJfEeIh2O63AkySP5KP338u7bv8Sp0dDdnS6vPzJT+Pb9x9a1zGXl5f58Ic/zO/93u8BkOc5eZ7zp3/6p9xyyy0AvPrVr+bmm2/mV37lV9ZZgwuXAr4JO/axT1Ed/wbtPV3yHXNgIFQV9cIyYbWgHkRGd34N85Sr4cDBSRc3SZJLZLo9T8f1WO63GepJghaoGY7X0QaViBEQVYy1GCJBa5RAoUeJUbH2MFlK25Ik5/XR++/lP33xM1QhAHB6NOQ/ffEzAOsK+u666y527tzJa1/7Wj7/+c/zrGc9i1/7tV/jxIkT7N27F4A9e/Zw4sSJ9VdiHVKX7oRlMiKbazP9rGtpXT1P+6o5elfvYPoZV9O79gD5thZ+4RRuYYX2zM5JFzdJkkvIuZy56UP0WjtpOUtGhjEGK2AkIhoxCBotIfrxStuBoBUFp1gdHaWsh5OuRpJsSu+6/UsPBHtnVSHwrtu/tK7jeu/57Gc/yxvf+EY+97nP0ev1vqn7VkQQkXWdZ71SwDdhrW0ZvUM9XGeEc0OsGyDtiqyrdK7aTu/wXmzHprbYJLlCWGuZcgfoun20TI8Mh2CwYrDkiHQwxhGlWYc3qCdIRU2foSxwZvQNVoulSVcjSTad06Pzfxl6uO2P1YEDBzhw4ADPfe5zAXjZy17GZz/7WXbv3s2xY8cAOHbsGLt27VrXedYrBXwTpGWBtGuMLXFOcZngMoNzEZN5TF7SOrST7hN2YaZS/r0kuVLkec5s9xq69mq6dhe5ncMwjbM9wDTdvTSJmVUi0ddoXRNiwSicYqH4OkvDo5OuRpJsKjs65x/j+nDbH6s9e/Zw8OBBbr/9dgA++MEP8tSnPpWXvvSlvP3tbwfg7W9/Oz/wAz+wrvOsV2o3miCtT2G0pJi/nnA8IFZoTeVko9tRv0gQj3NK74Yns+vbb5p0cZMk2WC9zh7KqgX1/agsEHUAEuHBkX1E74lI0+pHRSDg4wqLZbNiz2zv4MS7kpJkM3j5k5/2kDF8ALm1vPzJT1v3sd/61rfyqle9iqqquOaaa/jd3/1dYoy8/OUv521vextXXXUV73rXu9Z9nvVIAd8ELS8MWLlV8ce+QbV0BmJkMD2L3bGP6WufRL76OZjLae26atJFTZJkQlr5PGCo6nq8xrYnqEfFoz40q3KoATV48fjogYhqZLm+n9BX5roHsCmlU3KFOzsx42LP0gW48cYb+fSnP/1N2z/4wQ+u+9gXSwr4JmQ0XGH1c3dQffVWZLCEiyUAYfUo9fF7GPgbkKc9m962JTrb9k24tEmSTFIrn2UqXM0gCrUugIBoIGIRVcTkoBZVjxKBQNSaMkZMdOjIM9vaT5a1J12VJJmob99/6KIEeFtRCvgmZPHWr6LHvo6rz6B5hRhAFVPVqHjqb3yZcvs82/bNI25m0sVNkmTCOp05pLiGfmxjdJFSRhipUCPE8dJrXmtUm2XZDIoAwQ8Y6oCgI6br/XS7k8v0nyTJ5FzySRsiYkXkcyLy3nO2/7qI9B/mOd8jIp8RkS+O/3/Bmn23iMjtInLr+DbZaS8XyBVn0P5JTE+wcz3MdAcz3cFOdzAtwUkfPXOKVd2BtFqTLm6SJJtAuz3DbPsaWnIIq/MoXYI6Qmxy8qFxvB5vIBIwNAuxhVhQheOs+rsZjZYmXY0kuahUddJFuGAbWfaNaOF7E/BV4IFmKhF5NvBIXzNPA9+vqkdF5GnA/wT2r9n/KlX95s7yrSSsYnsOMteE3Rqb1PptRapIGNQYv4xfAfZOurBJkmwWWZYzbfaghaEOBZGSqJHxHxKUiEExGBRFqUHDOIXLIoV3ZLXgstlJVyVJ1q3dbrOwsMD27du33OQkVWVhYYF2e2OGWlzSgE9EDgB/Dfgl4B+Mt1ngXwF/A/jB8z1PVT+35u6XgY6ItFS1vJTl3SixLsh6UE1l0GmjeQ6ADPtQVRgXEeuwLYVeypqfJMlDWWuZ7+1FJbJc30utfYIqEY8gGAxG7DiHn4AEjIIywnOGsnRIDNjWtklXJUnW5cCBAxw5coRTp05NuigXpN1uc+DAgQ0516Vu4ft3wE8B02u2/V3gPap67DFG4z8EfPacYO93RSQAfwz8op6nTVREfgz4MYBDhzbXAM1IRZjvYQ4fonQRFQ8oLk7hCiWePAEm0tq/m20bdCEkSbL1bOvux4wMq/UximoRIWLEAhYHRI0INYYIRhBR0IooSwRfY7RC2nsmXY0kuWBZlnH11VdPuhhbwiUbwyciLwFOqupn1mzbB/ww8NbHeIzrgV8B/s6aza9S1acD3zG+/ej5nquqv62qz1bVZ+/cubmWJKvrEnbMUM4otSnwFHipqEzFqBMwB/bjtk+T7dtcgWqSJJvPXGcvc9nVTLX20nU7yJjCimvW3cVjJWBEsRiMKlFrIBIZ4MMR/OjYpKuQJMkGuJQtfN8OvFREXgy0acbwfRkogTvGrXtdEblDVa8998nj7uA/Af6Wqt55druq3j/+f1VE3gE8B/j9S1iPi65mRG0CzLeRxQJfKaqKIWCwVFNt5vY8lda+lH8vSZJHN92ZJ68zlkb3MIoDrARQjzVgEJzJgBIxbRyCxgC2aoK/cJJYCC7fhTFp8aUkuVxdsoBPVf8R8I8ARORm4B+q6kvWPkZE+g8T7M0Bfwb8jKp+dM12B8yp6mkRyYCXAB+4VHW4VEZxhcoGtDMNxmCqEZQeI4pYi+3NEHu7Ma2UPiFJksemlU0xF6/GiFLGU6garAQ0eoSAmBZgMOqwLo67ewPoCqoW70sse2jlKStAklyONk0ePhF5KfBsVf05mnF+1wI/JyI/N37I9wID4H+Ogz1LE+z9x0mU90KV5YjCD/EKQRza7qB5jukFjAhiMsg6ROcwJpt0cZMk2UJarS5T8Wqsd9R6GnQVnEM1xwI2CmJAtUZQQAEP1CiniJRU9T7ybGqyFUmS5KLbkIBPVW8BbjnP9qk1P78HeM/4518EfvFhDvesi1/CjVPGAh8DtSrNan4OxBINqAjOOILkQJa6V5Ikedw6nR62uoaibqNxAaVPjIHcGQIBa5rhI6IKAkgzog9KAkvNMm1hN7mdfrRTJUmyhWyaFr4rRcRTK9TRoPHBgE5EURVQi0SDyVI6liRJLkye5zh7kFC1UD1GNCVQY62Ou3jHGRJUUdOmGVrdfAWNLOADCEpm0yo/SXK5SAHfBitDBTjqIMRoUDUYozgMMQbECU4cLZO+XSdJcuGMtZjOXmLhieEkqhGvgWa+nIIKSBuMBVsAJaoGBdCcIg4JfiftVsr8niSXgxTwbSAfPJWWeO+oyahCjaI4LCqWDCFGS9aapZOnb9ZJkqyfaR+EkSPEBdCVZtiegJocTEa0JUqFakRUMZoDFYqn1D71aEg3P4y1dtJVSZJkHVLAt4EqXzGsS1brAi+RUkGJ+GCo6ppup8OU6dE2cxiT/rgmSXJxmM5eYtWCuo3SR01ollyzFVCBekSb1R0hjid0RCDgOcqgEnr5QaxNE8mSZKtKAd8GGoURq3VJET01nhAFMAQiRoQsCNHkZCafdFGTJLnMuHwbUXK8HgWWgRpQooKogDY5+8ARqYlUKGE8sm+BQQVtu5c8T+OLk2QrSgHfBhr6EcO6oNTQJESQZgwfRFBH5SMhh8ymPFhJklx8eTZFrPahCIEloELwKGYc7GWAQWlaAIPWoBGPwROpY59uOECnk9bgTZKtJgV8G2hQj/BRiSoEVQSIjPtRDARVgvc4SW9LkiSXRjufoqoPguZEFptgT8N4r23W+qZAo0cJRHTcDzHAs4qPI+rhIWa6aTJHkmwlKbLYQIUPRCJxHON5VZSIFQtNLnwUi00BX5Ikl1CetVE9SBk7qD+FMkKoCZQEKlRrAnXzhRQhRgXxED1RVhhxLzKyTHd2TboqSZI8Rimz7waJGhFt/nCKQlQh0ozhUzXEKKCCFUeWpYHRSZJcWiKGtt1FJjtovnBWRJovpWgkok24pzlgiLEkSiBSU9NnWB9laXCMEMKjnClJks0gNSVtkKgRZy0qDq+RoELUCDRpsKICxtFNCZeTJNlArXw3sVBqvR9lBVA8iiCI5giOIGUTCqoSqVENRITSe8rBiNl8N+12b9JVSZLkEaSAb4NEVVQszmaY4HFiqIOMM95bBMhNTte1J13UJEmuMJ32HhjlwCkqFjAUTfueBqJ4giqeiBKJIRJVQGq89hnqgCIM2KZXMd1J+UOTZLNKAd9GUcUYQ0tyRsajPp5d3IgYDZlxtG0rTdhIkmQiOp1tZL4HdUbJCSIDlBLVca5mDYQQCRGMGCKGoCVehdV4Gi0jIlcx1Z6bdFWSJDmPFF1skAjE0CxtNKwjw3rE2ZEvmTFkeU6MpvnLmiRJMgHOtejJIbQIjKgB/2ArX5RmwhkGxYEqPgaCCqCs+mVifYyIYaadWvqSZLNJAd8GERGCRhbLCh8jYLHSdOiKKv26Jnc1PqYB0EmSTI61jqn2NVBaRnIUZdSM2VODnM0iIDllaP6WKRaVQKBiFPscHxynDp5t3XlE5NFPmCTJhkgB3wYJMdL3NXUUrDTBXuE9AB2XIyIMqoKhpoAvSZLJstYy270GGbYpwgmirDapW8QSNFKGijpEIkIg0kzUrYimYLmAhWLA7mrIgd4u8jytHJQkm0EK+DZICErpa4wKS0WNh3FLH0T1ZFFotTsMqnqyBU2SJBmb6e4jr3osV8cIskgZB1Qx4hV0vEaHRqWOilFHCFDEIUWE1ZWC5WrAE+cOMdVK2QeSZNJSwLdB1CiqlkHt8TSzdo00ixkFBY3KsAroOFVLkiTJZtDOZ4lqCd4z1AJQUCESUCJljISgZNZRh0ARlSpESomM+ieJUbh22z5mW1OTrkqSXNFSwLdBcpMRYrOkmkZDHT1Rmyz2ThSDw0eQlAs7SZJNptuaQvUwvlBW/RmMBjxAiBAcuc3xwVD5QBkDPoISqYgcG52GxcDh2X1s78xOuipJcsVKAd8GcSLkxjbTdaVZVUPGjXlqBBWBOE7AnCRJssn02lNYriGveyxXC+ALatssFVlFpVDPkGbmrldBERRlGEqWyiF3Lh8lhMCuqW2TrkqSXJFSwLdBjAi5cWSSUYYaI4aaCChOBBMNrVaOwU66qEmSJOfVbvfYmV1FzgxnzAIr1QqBkmGoqCLUPuARAoqqoioECayGIcWwYlRXjOqag7M7MSb1ZiTJRkoB3wYxxmAlo+1aFDFAFDABBZyxOCy5ZCmNQZIkm5q1lm3TO7BFRlnDUjiDj0IdeaBVL4yzNcfYLMEWJOAJVMHj1TPwQ544dyCtG54kGygFfBuoZQyZtXSyFmVd42zzDTcX0+TkE8FI+tabJMnmN9ueBbEUMTAMEaiIRJp5Z4YQPdZYogiFr7BiiRaGvuTewXECgSfPHyJ3KW1LkmyEFPBtoMw5LGBQpozF5k1CZoLgYyQ3gqSlNpIk2SJmW1NcM3eAEOHo6DQeBfGIQmYdaCQ3lqAgRqijJzeG2sPxwTK5OcaB6d308rSGeJJcaing20CC0s1zjFFOV6uMBhURaFnDfKdLu5U1HSKqqWs3SZItYb49w1O3H6K9knNitEjhS8pQowgxBDwRMUqMAgh1DCjKKAw5UywR8ezr7mK2Mz3pqiTJZS0FfBvIWiFSsVT38dFjHCARNYZR8JhRn53tTgr4kiTZUqZaU1w3dxVd6XKqOM1i2WegBWIMVg0am8Cv7Qw+eBSlAvp+QDksGFYD9vtd7JneM+mqJMllKwV8G0gk0vcFZaiJBKIEUAjRU6piJDLyIyKkbHxJkmwpWZbxhO176ay20P5xtIRCa2LT0UvLWGrvmxm8RDKEECNRPKEu8YOCUiv2dfamyRxJcgmkgG8DlaGm1BoxEauACogiBkQUFWXgK8rgcSYNZE6SZGsREfbPbKfjDF9bVJZklSoa6hAJ6sezeANODKjiQ40hgggjX3Cifwyjyr6p/VibPp6S5GJKDUkbKMSAKFhRjICzgrWCEzCiiERC9Pi0nm6SJFvYtu48T5w9yIybxoqjGaFiMAKZWBzQzVpgIyoBxRNizSiMOFOc4uTyMSpfTbgWSXJ5SV+hNpRiRbFiQDxIMyNXEESbRdWiRHBppm6SJFvb9qlZrjNw3+ppFsolilBR1YLY5m9g1BrVgBFFEYJ6jAmMQp8Vm1EPRuzs7qWTpckcSXIxpIBvA7WMw1gl10jEYK1wdiFyHyPOGFrGkds0fiVJkq1vvjtLN+9wZLXL6dEZRjKk0oIoHtEm0BOa8c0IqFFqhSoMqOMydRiys7OPmc6uSVclSba8FPBtoKksp6OWyjmClhhMs6yuRqy15OKYyhzOpOXVkiS5PLRcztWzu+lmOff3j7FSjagBq4aokSZTc0SIhBhpiSXEQDRDJFScHI0ow5D59gGcSx9ZSXKh0m/PBrLWsb3bY6FcRPXs2D2IxqAiZEboZBmqqUs3SZLLhzGGvVPbMTFybywZhgEBiBqJooiAEHHicAiBEoh4rRFdZtUrMgzMtPeTpyTNSXJBUsC3gSzgTGR7OyPEgI8FIuDEAhkta8gkQgr4kiS5DO2e2YkR5cjwfka+TyURxTS9HOJwKs1647rcDGUWRVWIccBITmIqT1f30m7NTLoqSbLlpIBvAwmBtlFKLWhRUJuAAIbYpGrBIRrwGkhJWZIkuRztnN5FlmWcHp2kXy1RxooYA1agJVDqClaaBC4ikWakc02Iy9TWU9YFIvto5TsnXZUk2VJSwLeBNCrWDMmpwNgHgzoFBKDCmoIYw8TKmCRJcqnNtefpui6nV0+yEhapQ59KR1RajLt3FSsBQTEqSKwQHHW9itUVGK1SmWWmt1876aokyZaRAr4NJDbgvMeKxeFxXlGNiFi8MwQB0RE+FsDUpIubJElyyeSuxe6ZPdiRsFiOUA/BGITYBHoiGCJGLOpHaOwSRquUI0+oz9CeqVi4Z4H+9j1cddVVk65Okmx6KeDbQJlEMiJZGSDso7h1ES09MuXIrt9Gyx0ndgRn0hi+JEkuf9Zm7OjsxQJn5AheI1EjooJIxJFBKIm1EOqSrK6RGFGgOnmMUExjj5zmtAg7Dh2adHWSZFNLAd8Gyqyl61v0Pxo5/akPMPjaN/CDIdnsNN0nPoHt3/40Zm5SbCctgJIkyZXBWsuOqQPYgWG5PoqPq0AFWgM1EgxSg61rjBokVphgiTEgWjD8xhFCdyez04Zs/sCkq5Mkm1YK+DaQU1j58Cr3v/t9hNUlbFto9XLwAwZfvpVq4RiY72H6u1ILX5IkV5b53j6yosOgvp8qLjTJCoIh+BpT19gIpq4QVYgWgkerQHHyDPnCCeoVi2u1kG6azJEk55MCvg20dHyF5S98kaxdMv+kQ7T2zEH0YKBa8fTvOsngC7dx8oZrOZC+qCZJcoWZas+TmxbDOqeOp6n9IrYKGA/qCyREjDqoA0hOvdRHVwuq5QHVwNKeOQpZDXYnYtKKRUmyVgr4NlDx+ZOEwWl2fOsTIa4ieYXJLaqRzAa27zjE6OgQ/+V7SRFfkiRXojzvYsw1lN5SlUOqKqBViVED0UEZwQtawejIAtVqSS9vQVhBS5C2ATzKbsS0Jl2dJNk0UsC3gYwZMX/9AUzXY2d2YmwgRg8Y8vkZYhWw7RatLHXpJkly5XLOgVyF7ThMz1AOjkLlUY0QHKEyjO5ZYPiNYzA1i92+k7aeIMbtVP0FVBeILBGZZ2bXwUlXJ0k2hRTwbaDWjimILWzXEcOAaASMggYiHmlZsu48+c7upIuaJEkyUc46XO8qqtN9TB4JoxViVeGXh4zuW2D4tSNUA2H6W55K9qSdaDhKHSrCaEDoVwQ9jRRtTt95Nzu+9TsmXZ0kmbgU8G2g7r4dGHOMYvUoMROiAURABVEwGsnnDK29vUkXNUmSZFOYuep6jt3fpzyxwOD2e/BnFvErJWZ+O9NPv47u065mbvBpdLZDLEZoVSIakbKiWi0Z3vlV/MqAPS/6vklXJUkmKgV8G6i9ZwdeO8TCEWgWDVcUQRBpFllz823yXlocPEmS5Ky93/Zcjt02i5nahV8tiFGw2+aZfvJ2equfQ9ttIl1i7KNRiTGgUUErdLTM6Ou3c3TPXnY//WlYYyddnSSZiBTwbSRjsHOz5H4Ho8Vlaq9NA1+EPLdk23q4XXNoSsOXJEnyEHuf8hTiVQfxy/dCcRLCAiIL+PntRF8Ry1XUezQEtI5EHLG/jAZPcfII2f2nGF17P532XqxNM3iTK08K+DaSZETXxmzfjvam0GJE9BGcIbbaSLeNxxGahXWTJEmSNUynR965Di13QTgK6vHDRWJ/Fa0D6iNae4igBfiVAToo8ZUSVof4eoEzWtKxu5nqzEy6OkmyoVLAt4FUDbW2WI2OykLdNkQVVBSxjr5XxLXJY/r2mSRJ8nCktR0NDvwJkFWoIVQBvIdgiLUhLCzhF5YJZY0GhzpHJRWr1f0MzDJeDzLX3T3pqiTJhkkB3wYy1jKMGcOQMYpQ+ABEMuuImpFHwdSOtkktfEmSJI9E7CwqGa7tqFolOloCL8QyUJ9apLj/GPXKkLpQ3NxO7J4dgCdQU4U+1egeal+zY3r/eAx1klzeUsC3gWqNDHxkuVKK4KlVAcEFwUhFr92DMjLfToOKkyRJHo2YLq59CGEBf/oE1eIZ6jMLxP6IMKzxg4Bqh9Y1T6F1daCQgA+BiOIVznASXc6Yn5onc/mkq5Mkl1QK+DbQqBixVJUs1RVVjDTplRVDhTEOqkirleFT3uUkSZLHRJxj5ok3US6UcKagXjlJHEIsDHb7IdqHn0T3xj3EXkW/GuE1Emnynxahz5KepuiX7J7eTcumlTmSy1cK+DbQMFQsVRVlAK9CxCKiECMOoV/VdG0NPky6qEmSJFvKzr/yPE7s3IXbdS2+HBGjxeyepXXQEHslq74gqgekCfpiCRIRHXCmWqFf9dnT28O23rZJVyVJLokU8G2gYVVReE8VlLMhnapiMBhj8CJUqk1rX5IkSfK47H7Ck/AH9lDUC4SwRElFQcnQF4QYCNoEeyFCHQLGWErjGYWCKnoGYUThS/bN7p10VZLkokuRxQZaCSW1BrwKAUE1oqo4Y5GguMzgI2RZGkuSJElyIVxrho5rszISBvVR6lgRzv7dVSVEqGJAVZBgGMWKKtQYidQx4gf3ElD2Te3G2jSeOrl8pIBvg4zqilHtCdEQ8ITYBHtmPDssYNAotKVNz6aVNpIkSS6UtTmz3UNUA1itj4EKKoGozYQNMIhYMDl1VaGA14hQs1pFjspJSg0cnN5DKyVpTi4TKeDbIIvFAK+Kk4xaAQlEAkjTvdDKLNZkzLR6ZFn6A5MkSbIexhh2Tx/GrTqW65MEP8RoBYDDgXUUvqQiEHX8xTt60IAtlqkqGJQFh6Z3M99NSZqTrS8FfBsgxMDJwQqDKuC9gFrUK0GgnWeoRqxaOrbNjvbspIubJEly2dg+fYBWMUtenGC1LjFxSKEVw7KgIgIGRZsxfigBxWlOHYeMiorlasTheg+HZndNuipJsi4p4NsA3zhzmrtXVliuhxTeoxIJsabjWtRVZKrdpuMy5ttTbGtPTbq4SZIkl5Wp9jQt18INT3H/YETp/Tg1i0GlmTznifgIBiGgeAJiI0WI3LFyFAEOzOxMSZqTLSsFfJfY/cuLfOnMcU4XA8ro8USijzgR6hjp5Tm55ExnLbbn07TzNGEjSZLkYstczs7eHlQM963cSwSiemKMxNi07IlAZpq/yUt1QVtbeK1YqSL3DU5iUXZNbcfZ9NGZbD3pqr2EhmXJVxeOs1gOqLUmRG3y7gHRCDWREJQ8y+lkXbZ3exMucZIkyeXLWsueqT1EVe7r34/6Ic3XcIPgyIwlixkjrVFV6hDxRAKRpdEq94lSxIq9UzvpZGlyXbK1pIDvEgkxcufyKU5Vq9QxEqKCUVABUSQqxhpEDMYosy5nOu9OuthJkiSXNRFh/8w+cnKOlydZLlcZUuJVyUzGMNSMtCS3OaX3KBGPUhhhtR4x9CNWyyEHpvewvZfGXCdbRwr4LpGTg2WODZcpgkdpxu0ZDD4GMmvRCBqFqErbZmxv93DGTLrYSZIkV4SdMzvolB1O9E9wIqyw5Pss1wWqQsvkVDE2+ftixAj44CnrioqaQVWyXPe5yu/hqtn9k65KkjwmKeC7BJaKAceHK4xChRXGeZ8EJTYDfhWcMTgx5NYx1+qxo5em/SdJkmykqVaPljuI2JOUK4p4SxE8dQwEVaIqCFgRjBiKUFLHmtp4qtJTLHnK4Ll27iAmfWFPNrkU8F1kPgaODhZZLFeJwRNjQFRpWUflPZk1iII1QmYMs1mLg9MzDyRgTpIkSTZOZjOunt0HCHevnsRLiYYa7z1iBIdgIg8EfIgQiYQYiNWI+wZniFG5Zm4fuUuT7pLNKwV8F9l9y4scG6xwalAwqCvKGMlMC8Uj1mBUEWPIjGUqb/GE2R2pdS9JkmSCRIRr5vbRIue+4iQr1XDcGxOIMWAzw6geEBQEAQQIiAqrVcH9uoQVx/6ZHXTTZI5kk0oB30V0ZrDK15dOc7IYUoUaH6BWpQwlALPtFgIoMOtyrp3ZwZO2p2SeSZIkm8H+uR3MFl2ODhZYKJcZhRGrfsSgGhEVxAgqAhFiVBClCjUrMXJ3EBargqund7NzanrSVUmSb5ICvovonv4yK2VN8FB6RdXQsS3KuibaZor/TJYxm+UcmN3FdfO707iPJEmSTWSq3eXqLCNfFe4blIhGrBjENEkWfIzN2D5ARSh8TTARGLDarzhdDLi22s21c7vS3/dkU0kB30XSLwqOrfZZKgpKH6hVUQL9ytNyjo5xCP9/9v48xvIsS+z7vufe+/v93hZrblWVWVvv3dNDNjlFcsghpTFlUjBnOF4oGpAhEDYN0/8QoEBTBGkLYximANG0BZqCLHkgAxZsQjYsg/CYgkhZ1pCmh+RQs3iW7p5eqmvpzsrKNZa3/JZ77zn+4/eyuthT3ZVdmVmRmXE/hUBFvIgX7/5eZuQ7ce495xh71ZQXdnf51N4lqlBm5hZFUTxpKl9xdXEFUIacSbom5kS6X4BnEFxATckYqhC1B6esUk+XEhsd+JH9F6hCeZktngwP9OuHjP41EfnZ7ccvicjvf7xLe7rcWJ1yZ93SpsygSsrQRcXMYQYxG8E8k1Dz/PyQWd2c9ZKLoiiK76MKFS/tXuOTe9fYDQtqXxPwVFQ0rgZ19EnJJgQJGEKfBnpNnMYNbx7f4Wsn7xBzOutLKQrgAQM+4H8H/EHgX91+vAT+vceyoqeQqnJr3TNkIUVhiNBHxZJH8AzZyAaTqmZ/MuXStJzvKIqieNI553hl7wU+t3+Ny80FFtWCSTXDOUc2xTtP42q6GElqJFNUM0kTm7zh5vKYt09u0qfhrC+lKB54S/cPmNnvFZFfAzCzIxEp9edbp8PAuk+YCjFBymDi8cGRNVH5gEeonOf5+UE511EURfEUubb/PFM/5a31be71K8QEdWOLliFlvPd0mhEDRFFRMo6NLrkbIaxbLk0vM6tLR4bi7DxowBdFxDMWmCIilwB9bKt6ypxuevpsoJ4gFZnxicoxI04QEQIVl5sdnt8po3iKoiieNhd29tmZzrixvse3T25zD8cyDWQSyQwRUFMchgMqGacsKcI6Lmn8GuMy8/r5s76U4px60IDvbwF/B7gsIv8W8K8A/+ZjW9VTZjlkughOHWKCSCDnjJowdYFgnh0/4ZX9g7NealEURfER1aHm2s5lDMf6+F1OUgI8gmKmOCc4Ml7AE6lchdeM+UhSZUgDAaOpnofSbL/4mD1QwGdmf1tEfgX4lxg7Tv63zOyrj3VlT4mUlVWbwEARaqkwSeTtjFyPsagaLs5mXN4p6fyiKIqnmXeOV/YuE8ST9DscsWbQRFbdjmGDndpTOaUWoXIRZxEMsmZSfgeHULlLUCp4i4/RD/zbJiKH7/vwFvAfv/9zZnbvwx5guxX8y8B1M/vp993+t4A/a2aLD7jPHwP+baAGBuDfMLP/8nu+5ueBT5jZFz9sDY/Tuo90MePMkZPQJ1A8B5OK4AQFdqqa5xe7TII/y6UWRVEUj8i13QuICb99coM7w5qUDS9G5RxhG+wdNI4gA5UTkAQ4jBa4BbqBdAHC/hlfSXFefNivF78C28ZD8BJwtH1/H3gbePUBHuMvAF8F3ktvichrwA/a37wD/Ekze0dEvgj8feDq++7/3wFWD/DYj90mJjbJWMdM7T05G4qi2dEnY39aM61qDqelDUtRFMWz5OreIdNQ8+3lTe50p/Ta4aRjWgVmAbx0BDGcgCfjxIEFzFpMM2gPDEgoE5eKx+8Hloua2atm9gngv2AMwC6a2QXgp4H//MO+uYhcA34K+A/fd5sH/gbwl3/A4/6amb2z/fDLwFREmu39F8BfBP7ahz3+x+G0TWzagbunA7fXA6dd5qRV7m16DIcYTENg0ZQmy0VRFM+aw/mCz196mU/sPcfVnR0uzxv2G2PqBxoPTYAmZIIIDkFMICtognwK/Q1sdR1LpV9f8Xg96AGCHzez/9H9D8zsPxOR/9UD3O9vMgZ272889+eBnzezG/Jgh1b/FPCrZtZvP/5fAv8bYPOD7iQifw74cwAvvfTSgzzOR3Jn1XGnG+g0sWwjWcfxO9Pg6aPSBWMSHNOmnNUoiqJ4FtU+8PLeFW6vjVVugQExR3AQRAluDPacCd4yuAZYAwbWgimsbmPVVWR+6YyvpnhWPWhDuHdE5N8UkVe2b/8z4J0fdAcR+Wnglpn9yvtuewH408C/+yAPKiI/Avx14H+8/fhLwCfN7O982H3N7OfM7DUze+3SpcfzAzQk5c6m52gTGSKoOczGH2w1WA1xLNdXpSq994qiKJ5ZzjkuzZ/jQvMcO9WUeQhMvaPxUOOo8FTUOGcIGSyBZjADXUM6hv7r2PL6WV9K8Yx60LTTvwr8zxlbswD8f/ju1I3v5yeAnxGRPwFMGM/wfRnogW9us3szEfmmmX3qe++83Q7+O8CfMbPXtzf/QeA1EXlzu/bLIvIPzOwnH/A6Hql76457q56cFTXwDjDD4UgxM2kCbZ9xfuzFVxRFUTy7nHPsT1+kHSqyvovaGugJOJwKDkOYE+wU1EAcWAQLoN24xWuGHQ2w8yJSqniLR+hB27LcYyy+eGBm9leBvwogIj8J/KX3V+lub199n2BvH/hPgb9iZr/4vu/57wP//vZrXgH+7lkFewBDSrRRyWrknMFAEFJWRBwOwTAqV35oi6Iozotp/RwxNaBHwDFmCUwQSwSWjLWPBmTAg1OQbpv1OwJXwXozbvHO9s/yUopnyANFIiLyC2ynbLyfmf3RR7UQEfkZ4DUz+1nGc36fAn5WRH52+yV/3MxuParHexRiNswMQcAgZcMERIRJLWQ1gnPMmtKOpSiK4jypwgHEKZgHjjHZgPXjK6ka4MDyNu5L4+cwwG+/bg1DwjQii3Kur3h4D5p6+kvve3/CWEjxwCVFZvYPgH/wAbcv3vf+zwM/v33/r/EhVbhm9iZwpj34NCu1DzgXUcCcgUIVHKowCY557dkrLVmKoijOn2oC+SrkwNhtTIG8TfDpGAxaBenO+DEwFnLoeK6PCFGx5RKpXoDJ5KyupHgGPOiW7q98z02/KCL/7DGs56kyGNRBqLyjDh7LgICaEZwwqR2H85rDRQn4iqIoziUfwF+FNIHuNtgxaGR8sUgQ741buTDe5ioQHZN9liCcQmrHhs16BZldPLtrKZ5qD7ql+/6JGw74MWDvsazoKWFmdCnTBGG3DnhnTLNgJiRV6uDYaTyXFxMaXyp0i6IozjMJF7Cqgl4h3gVbgrZA5L0TU+JAZmMBhwNswLRH4wBpCb6F2BL2XjzDKymeVg+6pfv+iRsJeAP4Hz6uRT0Nhqz0MSIe1GWqIIgYKSp18FxaNExrz+4k4EpLlqIoinNPml3MXh2btQ7DtlDDgQRwDtycsZCjxyygWcdzftpiMaPWocMR+fg6/tLnCbNznXcpfkgPGvB93sy6999wf/LFedWnzLqPpGSkrGxiJmalqhyHU4elzN7OhGmZsFEURVFsyWQKk89jy13QW5CXQB6P91k7tmnBo3kAPKRMzD3EDKlH+0S+9XXi7VvowRfY/eTvaHRRFB/oQVNP//gDbvsnj3IhT5tVP7AcBo6GlgElklCneAenbY80HvHKtC7ZvaIoiuKfJztXoXoZ/KVthq8HZ+ACRt5m/jwxD9BH6HuIEXKPdUvy27+JvfGrnP7Gr6IxnvXlFE+BH5jhE5HngKuMs2x/D+OWLoxNlGePeW1PtONNx90+shwGUoa8PYKxHCJVcGyGjpwrGldashRFURS/k8wOsbaGFCDdBjsCBLMJiJHjBoZ227ZlbOVifQspIl2LuVsMx5HlTNh95YtIKDtKxff3YVu6/zLw3weuAf/O+25fAv/Tx7Smp8LttqWLiWSQc8Zk7LuHjGnTLmUMpalKwFcURVF8MJkuMP0krKaQZ2P/PduAnqIax/FrOg5p1+Rgs8GGFssRhpZ82uGvH6IXprjFS0h1rnMxxQ/wAwM+M/uPgP9IRP6Umf3fP6Y1PRVO20g2IwhkB1kVE6P2/r2emmpGU0bjFEVRFD+AOAe717D1DPT62Hg5u3HrKAIW0BSwdYetjyBnLCoSBLoNcblE17dhmhH3HM5fOOtLKp5AH7al+6+Z2f8ZeEVE/uL3ft7M/p0PuNszb0iJIWfMbOyRieDcOGFDRBCUQEXwjjqUM3xFURTFh5P5IXQzhAWmN6C/O87jjYatV9jxTWyzgZigmpFiHqt9o6K5g7wB9w6ZAS9XSoeI4p/zYemn+fb/iw/43O8YtXZeDFkJzqPj0VoqL2NWDyFnpakrQDmY12e70KIoiuLpMpngJq+i6uB0gx3fwZZ3sM1qLNoYIpo8Mtkl3z4hUVHvNojTscLXDNIdMhHzl/GhTOcoRh+2pfu/3777X5jZL77/cyLyE49tVU+4nDPeG413DDHTm4KCmuLdmO2b1YGDMganKIqi+AjC3ssQHfmkxW7dRDtFBoN6H6mm9HdOya0SLj9Hfdgg9QTYtm9xCdSwdIqmS7jJlbO+nOIJ8KAHzP5d4Pc+wG3nQp+NygVmdUUbM5IdyY3zEWvvabzjcDbhYFIqpoqiKIqPJlx8EW8NFmfInW+TuxY7PSGt1lgS3OELuE9eZbIfoWKcweuUcQOux/IayyssbWD6EuJLEeF59mFn+P4g8IeAS99zhm8XOLd/c9QUEZh6z/6k4V7X49UxrT2N80yCZ7+pmFRlS7coiqL46KaXLjPs/RG63/oN8vU3sLpC9kAuHhAuzplfUdzOHlTdOJqNDDgQYxyMtYZ8HVYtNn0Vqadne0HFmfmwDF/NeH4vADvvu/0U+Fce16KedENWBCGp4MWxV9dkMzwO8bBoGqrK48sM3aIoiuIh1XVN/XtfI3/2ZeLxTcgtPmzGV+jgwfcgfuyUKwpUYAPIgJlgppidQv9NhBdx9f7ZXlBxJj7sDN8/BP6hiPwfzeytj2lNT7xxjq6yiZFVPxDHYl0sKYumQatMEF8qdIuiKIpHxs8v4ZoD0HfJehuzOBZqaAWSt1m9CtQBSzDDzFCLGJtxy9euk5MS/AEi8mEPWTxDHvQM30ZE/gbwI8B7lQhm9kcfy6qecN0QuddGYlL6aLQpYca2B59y1PZc3Zvhyg9TURRF8QhJCGBXEa0xvQvaApv7nx2DP9sAGRtTEYwv9REzh6UlmCPaGpHLVKE5q0spPmYPmoL628BvA68C/wvgTeC/ekxreuItu8ymzxx1kTzm0BERzOCkT8QMfTTEzm3nmqIoiuJxEcH7y4i7Os7i5QB0BtkDK6AdJ7GZIQaGolah2mP0GKcox2T7FjHe2o5tK551DxrwXTCz/wMQzewfmtmfBc5ldg9gOSS6GMGElPL27IQnAaZGm4xVjCVdXhRFUTw2we/ieA78DpAQ6xGNiIGYQxCwgKkbu8b6+8UcGVKEeESObxI3b2Dx9Kwvp3jMHnRLN27/f0NEfgp4Bzh8PEt68mVV8jg2l6gwjtswxAnOCYIRk46TOIqiKIriMfGhwrtraBbIN0EMs2H7shQwM0wmIC34Znzh0rRt0rwmbQZSOqEbbhJjw+Gnz2W3tXPhQQO+vyYie8D/hLH/3i7wrz+uRT3pPILaWP7eBE8bMxgEg+AcmiGILxm+oiiK4vFzDjd7EdvMIb4DeowRwTxGAukh1CDCOBYqkPoV2p6SVi22ycgwZ7hxi9s3bqLzl7nyY18466sqHrEHCvjM7O9u3z0B/msAIvKvP6Y1PfFmdUXjHZsoWFYqcagYXhyaDd946lACvqIoiuLjI7NDbJjBcB30BNiMR47cNrNnAI6UIK/vkjcdOiiY4lwmrVb07/4a7vCEb9eZF3/0R8/2gopH6mH6hvzFD/+SZ9POJDANjon3JBvroAQhm+FEmFSBSRXQsqVbFEVRfIyknuCaa8jkOaj3IczBVeBqkBkwwbrb5DZiaqA6bv9mA4tYt6H71hvwnSO0PT7jqykepQfd0v0g5zZ9Nak8i7qmS8qQA7b9gfHeUXvPIgSq4FCz8zuOpCiKojgbVYPnBTRNcLoi2xJcBl2R4gnadVjOWDJQQ7LD+oSuVmhW0ukJ/Y3rpOEFpA5UfnHWV1Q8Ag+T4Tu36SsvgVkTmAfPxWlD7T3OHI33HM5qpsHjkPGoRFEURVGcgSocgr+Cc7uMI9cyZMOGDMkgK2QQmRDv3sFihsHIQ4+uWtIwIQ7XaeNNcs5nfTnFQ/qwWbpLPjiwE+DcDuTzDmongMNyZKcKqIfKj2f41AFm5BLxFUVRFGeo8g3mrhFTjfk74AdQwaLi8vhSHu+siTdvojGTNkZeKTQ1sMHoMK7T6QrPZSZ+58MesnhCfdhotfIn+wGcCCkaThwnq8SQ8lida9A0Qr3j6VJCS8BXFEVRnDERoa6ukNMOPszo5gE7vUXuEvHdm8Q7N8mbiPaefrUhy4TmyitI9TZwiNEBCdNMZ4lJODjrSyo+goc5w3duiRjJlOPTluAcnSZWQ8Q5IYSakzayuw4MMcOkOuvlFkVRFAU+zGDxKvnWMWn9HfpvvE5uO3Qw8kboT3tSWzH70S9Rf2EOlcNc4v52sHIPZ9DFniAXCaGEEE+T8qf1EVhSNl2ij8pmSAgQnCDOMQwZi8pmWrMZIoffHT1cFEVRFGdu7xO/hzunDn+1Zvj6GwzHp6SN4vaeY+cLn2DnC59h9/m7mFuAy2NPP0BIwCnGeiwESRcJJdv31CgB30eQVGi7jCloMtTGfpaokcXwleek7Vn16ayXWhRFURS/w8Uv/W7ip1/i1vxr+NUSEsiFfS5+egeZvov5HcwZxobxKL8BDiyBZVTv4qwjpxbnDpG6JDeedCXg+wgc43g1VPHOEbeTNhCjcoIXyIlS1VQURVE8sar5AS/8od9LjrdRPSbRgltisou5HnMdoIAhgKhAzpgmQMm6Qq3D57tQv0BYXDjbCyp+oBLwfQR1JQSDrIbDmHhHTBmHUPlx+oaYonpuWxUWRVEUTwGpapx/Hs1T4DbGEmgZz+2NwR7I+L8MZgJ5jUUjp4TkAR1qAu+S7IuEnefP8GqKH6QEfB/BYtIwrT2N96yGiAGV27Y0VDCMaeWo/MO0OSyKoiiKx885R+0OydFh9/v1oYBDEEAR82AVmk6h62CI215+HdpPiffexXXK5FP7hOrcdm17opWI5COovbA3q6gFJsGhWYkpo3kcUzP1nqbyhPLsFkVRFE+JabWPk5cRLiMsECoEj2OG5AmmHbRriAnyd8eyEXt0vSK+/jW6t79x1pdRfB8lJPkIgnfsz2p2JhVN5dipPVPvqL0wrT07U88sBMSVp7coiqJ4ekzDnIl/GcdVHJcQDsA8ZgM2dON0Ds1gGTEDanR9CqnHVifojTfP+hKK76Ns6X4E4oRJ8OzPKpIq2QkgiEDTBLwIk+CwqGe91KIoiqL4oTjnmLjL9HGKcgMkgfSQEiQdd3uzgVZYUljfw4YIOZGO7rJaLlnslLkNT5qSgvoInAjBOSaVsKgCZoZGhazkmBAdK3VTLgFfURRF8XRqqh2CvISXSwS3h2gF0ZAsiDVYDuQ776J9D8OAZUdqM7pZn/XSiw9QMnwfgXOCF2VIIM6og+d43QNGXXvmexXDkFEtAV9RFEXx9KrCBHiRbHOGyqN2HZcHdH0MpyewPMHaDk02Fn0sJuX8+hOqBHwflQgOuHO3xRDqypEzeBHunWywPGHTJ8wMkdKepSiKonh6+eqQeOMNXDuQT6+j3SnSdWhMqHq0V/AzZL5DMyuhxZOo/Kl8RIZwfLrBO7h3OqAoILgW6srR1Jnlpiclpar8WS+3KIqiKB5KfWGX9lffguiR3EA3kKOHJOB3yW6H2dVDhDJ04ElUAr6PaIiZmGHdZryDFG0sT/eAOdZdZLnO9H0qAV9RFEXx1JvuTLHPXWD9m5m8ViQJlgdUHX6yy+wLL7K4bFA2tZ5IJeD7iCxnUjIww4mjDqBqeO8AQ7Ow3iS6mFmc9WKLoiiK4iGJD8wOPeH3XaC7u0u614Iafr+h2gtMFgpNtW3WXDxpSsD3ETnnyKqIc/RDQgRwgjIGgQGHaiTbWa+0KIqiKB6euBqtp3hapk3GrlSAIpIhGBYmmK9wUkKLJ1H5U/mIJk3AOUEcBC/EqJgZeEN8QJzgqwrvSsRXFEVRPP3MV6hO0boBBckREBABX6PiwdVoGE83FU+WEvB9RDuzmvmsZrWJOO9xCDkb6oQ6OLw36jqUCt2iKIrimaDCuIvlptsg735YZ0AFMgUMRUvA9wQqAd9HVDcVO9Oak1lk3Q6E4HABvID3jqryLKYl4CuKoiieDSoKIUNiG9xVjMGeMIYTCsFQl85ymcX3UQK+j6jxjvk8sDs0JIwhJoITgnc0tWc+bZAAWcuWblEURfH0UxScQCVg2+1cxkJFGEAqEGOcvVY8aUrA9xE5J9R1RV317Ow2nLTuu9m8SphOPSJuTH8XRVEUxVPO4dH7r3MiYBls7EGLc4wH++73JyueNGUAykfkvAMnuMrja2GxI1iVsVqZzgJ9ziQnlHG6RVEUxbNAaIAGRIE8Jvi2HSrGLJ8CdQksnlAlw/cRiQMTIwc4bgeU+N6zeRKVxlUsLBBzOctQFEVRPP1EBGcOtXp7SwK5n80LgAPbVu0WT5wS8H1EjnGazCp1WBjoUuT+7q1DcM5Y9YHlcKbLLIqiKIpHRACPY0pOQFI09mhU8BlXTQnTClfakT2RSsD3EWUxkg5EItkrdTDEDEQQBLPEWno2QwvsnfVyi6IoiuKhODyYkPpEPm3RYY3kHtMMQ4dmGKZ7+P0XaKoBmRxAPS/dKp4QJeD7iLwJg0V8yMzIiIHfVibptmjJuURr/dkutCiKoigeAcFQrYh3T7Hjm5A2mCRQhRSxlLC7d6CDuLhHqBJqE/rsEBos7LG4+smzvoxzqwR8H1EdHD4ok0oRp3hV5H4aWzKKYeYxyWe70KIoiqJ4FJxH1wk9OkbWR5jGsVKXceqG5gwxod95g3h4gbwzQL+CTULbhPkFp9e/ge0/z/Sla1BNqf3sjC/q/CgB30fkvWcxgd6U4KDBcRgmGMo6KyvNKMqiOeuVFkVRFMWjkU577PgU61vkfoNlTZgmiAYpk1fvgCgu7EDqxiKOvIFugx3dhuWSNi1pPrFHlyfA+CbUhLDAu9LW5XEoAd9DuDD1gOfqSYV7+5jh3bdQhIP5lPDKFe5cDeyUgK8oiqJ4VkSFwWDdY5WC5jHLpwpZYVD03e/gDw8g74AmnAkaxr59NkRob5DezISLHr+7wpwCexg9Q1ejOsFOB7qbG7rece3Hf+ysr/qZUAK+h3DYOHZfV9pf+w1ye4+gLZhhRxXxzg0u3fsE4cf3z3qZRVEURfFI+Mmc7t4Kz9hzWcigEVOBGNGb11EJYysLvw0C3+vMN/bv080pTHeJN5a4xWTs62dHWAykzS3ySUc+hXSUGd68yxu/9RWqVz7DpS+9QNYKv3dA05Rsyg+rBHwPwd3sGL7+daru21h/BBaRrBBqTI/hhuG+vAv/4qtnvdSiKIqieGjh8mXYvUD+5hvgDRcELKF9C90S8kB19ZP4aQUaxz59ZqAJ1Mb2ZZYQi7DeQJqAVywrOSrxZI1uNlj2GAP1rufon/wG8o0bpO7H2dntybGl1T3mL7/Kxc+8dNZPyVOjBHwPIV+/S9Vdx+JdqBRXVZgYYoLGDlu9jVs9R04JH8pTXRRFUTzdQl0z+10/xuboBtz8FrrptnN1MyC4Cy/grlxAFrugx6AZtYBpwgwww7lAyiAytrSwbKgpOWcMQ8SwkHG1JzeR5vIuy996k/CVC/BHvkT45t+DPOfoO+/Sb9Zc/dLnz/Q5eVqUCSgPwccj6I5wM0/YmeDmU/x8il9M8POa4CPS3uP4rbfOeqlFURRF8UhMr77E9F/4KcLn/wDsXIFmB7d7geqTX6D69GcJVy6Dj2CK5QqGAfCQx9jQqgWqgjucQUhgiqYBS3k7wMDAFBFwpvh5jZsYm2+8Tr6zpNqZoavbuLtvcfrLXznjZ+PpUdJOD8H7iK9BJjPEOwjfjZ99rZBB2dDEMm6jKIqieHbMrr0M115mff0bcHoP8hoXwDUez4ph2WNaYamHnLHBsF6RepfsFvi9PcKFClyG7DBzSPZY7ti2tMUU7n9gOaNdh55s8M9/Fv/uTVTXpFu3ePuXfouX/sAXz+y5eFqUgO8hhN2GtJgiFZgXbLELLoApbrWClPG7DRxMz3qpRVEURfHIza9+Gq6O71uMMJxiaY2f3CaFt7G7N7FOMAcs5iRrED+n/vQVmOt27q7hrEGHzbgzbEByWIpYcsTlBlHBqoBVHpY3x2hw6GBzhN64d3ZPwFOkBHwPIVy4jNvbQacNsjfHQkQt48Rhl3dhlagOdlns7pz1UouiKIrisZKqguoCwgWavZeoLn+J1RtfRVYn2GZDBvxBQ3Vpip8r5jJIBGkQb6R0C8mGZgfJocsebZV065jUG82nrxEOd7CjL2PZMGP8vy+j2x5ECfgeQnPleWL3Cbp4QtY1SkIxHIJziXBlF39wFanrs15qURRFUXysnPfsfuq7W62WE4OeYrIB6xEbxiIN3+F0RTWZEzeCJSEfH6HRs3nzJvEkIrsXaT77CeqLjvjWMRpBmSCTBf7ywRle5dOjBHwPwU3myAuXkKMV1gs5CopHHYSmRhcVae6JMdGUxuFFURTFOSY+0PhD4BAA1UxMa1Q2uHrAHawI+Tb59C7p1LF+/V2Gmxvqa6/SfPYz+FcPab75S7TrHlWP5in11avl/N4DKgHfQ0jZUG/Y3gIbAjYMODEkBKSqoZoxEGmsP+ulFkVRFMUTxTlPU+8Cu+MNNWizYVh9nSbuIZPnSZ+vkEv7hN2a6pu/SHvrNtkatNrDH7zA7o//yGNd452vvsHJV14n3j7CzRrmr77A1T/y2mN9zMelBHwPQVWJDrSaYi4gdRzPEziHuYBKwMhEBkrZRlEURVH8YK6ecelHvwRAjBFbHtOdXMeO7hH3L1KFQyRP8DsXkM+9ypWXH0/j5Rgjb/0n/4A7/+CfkN5+Gz05BlXk8ICTf/qHufTTf4BLn//CY3nsx6UEfA/BxMZiIhMyHnOeLBnMIQhu21w8ez3rpRZFURTFU6WqKji8RH14CbYDq05PTtjd23vsj/3t//yXuPXzf5/05pvY0KJJx4khmzU3/0//V0gt3sPhZ56eoK80Xn4IIlNi9iRzRDWiCdkcCWEwIaoQFXI+65UWRVEUxdPv4wj2uuWS43/6G6R33kG7Fo0JSzru4OWxMvju3/tH9F9/k/XNp2ewQgn4HkLlG4QpKUOmImVHnyraBH2CmDzZArkkUouiKIriqXD01bfpvvEtWK+wnLFsbIcAv/cW79xj/a13iW9dP9vF/hBKwPcQQqhwfgeTKTl52pjpzdPnij4F1tkzpIZBE6plW7coiqIonnQ6JLQf0PeCvQ9iWLshntxjdfv2x7q+j6oEfA+plinYnKwNG61Zdi1tMpbRWEfjZIic9i1DLpW6RVEURfGkmx7u4/cWmN3P6H2AUOEXUzQN9Ddufazr+6hKwPeQgp+AetYGaoGeik1SeoVNyqxy4t6w5rg9PeulFkVRFEXxIQ6/8DI7X/wshPvHsX5n4Df73EtMr0zJqw7y0zHpowR8D8lJIOPJOLqkZHNkExRHUoiaWceBO93yrJdaFEVRFMUDuPRHf4TFa78X3PuDuTHwq64ccPlf/DFc5YgbZfL8pbNa5g+lVBM8pNpXGI6YISOYCffPdxqgCmLKnf6Yk82SvVmZq1sURVEUTyobTtl5fsML/4M/wcknr3H0j34JvXMEs5rdL3yai7/rE4QrU7p37xCuvMr8uRLwnQu1qxHnwWwM9jIojqyKOIeY0qNIytxqT0vAVxRFURRPsPWbX4fuFgu9jfxLr3Hh93+eeHxMEEMmoJs1mzduIDsX2fldT89Yt8e+pSsiXkR+TUT+7vfc/rdEZPV97vPHRORXROQ3t///o+/73N8TkV8XkS+LyH8gImc6pdY5x46fgXM4E0wc4LBt/71xW9dI2Tga1hy367NcblEURVEU38eNX/912m/+Gptbp5gFFpt/DPE22q1Y3XiH5W99i9W3j6hf/QSHP/EFdl958ayX/MA+jgzfXwC+ynvD8kBEXgMOfsB97gB/0szeEZEvAn8fuLr93H/XzE5FRID/BPjTwP/lsaz8Ae1OFjTrCZ1TyEbUhDqHqCMLeHMk89xdt7zhbvO5UDGt6rNcclEURVEU3yOc3GT15deZXD1Erx5gIdBM3qR5vmZ4+RISIVyYstjfIexeO+vl/lAea4ZPRK4BPwX8h++7zQN/A/jL3+9+ZvZrZvbO9sMvA1MRabafu1/uGoCa71sz/fHZn+xysTnAOQ/iQBxeAjEbkj2nKXKnXXJrWPGtkzv8+s23Oe5Lpq8oiqIonhQ3b9ygv3GLvGkZbt+if+cIiwG1BvOOyu5SVSe4vEH9BWTxdJzdu+9xb+n+TcbA7v1dh/888PNmduMBv8efAn7VzN5rZCcifx+4BSwZs3y/g4j8ORH5ZRH55dsfQ1PEqzsXuFDv0khFLRWWHc7X3Bs6cjK8q+izcqfv+NrxHf6rG29x/eT4sa+rKIqiKIoP57oWbQdym9HVwPDuu6y+eZ3hbk9uPbmt6U+gv3ECMj3r5f7QHtuWroj8NHDLzH5FRH5ye9sLjFuwP/mA3+NHgL8O/PH3325m/7KITIC/DfxR4P/1vfc1s58Dfg7gtddee+xZwJ1mzvOzA6Ipx12PkDherwkS8OJZpwgmiAhJMm+fHtMNkaN+w/OLHfYnc7wrXXKKoiiK4uNm/RqtapKbYwTSssOrIcMJ/XJFL4D3kB3zL3yJcPDSWS/5h/Y4z/D9BPAzIvIngAnjGb4vAz3wzfEIHjMR+aaZfep777zdDv47wJ8xs9e/9/Nm1onI/wP4b/IBAd9ZuDw/5CQNdBnabFTe48SxjD3ZFEzwDpI5Npa4sV4Rs/Gd5SkzVzGtJ+zUFZemCw7nU7bPUVEURVEUj9Nwhwt8nc38IkwuEo/eJscOPwlIcIgXkID5KSxewFfVWa/4h/bYAj4z+6vAXwXYZvj+kpn99Pu/RkRW3yfY2wf+U+CvmNkvvu/2BbBjZjdEJDCeD/xHj+saflhNqHh+tk8bI6fDQOU9g2YEhwdMwMzIBl6VCBy1A7c2A5pBgBA8iyrwws4O1/Z3OKimzJqGxocSABZFURTFI2btMehtXFXhXppj9z6PxERe30VPOqQSxAXczozF7/799C998qyX/JE8MX34RORngNfM7GcZz/l9CvhZEfnZ7Zf8ccaY6Oe3BRwO+AXgPziL9X4/h5MFy9hx3He0w0CXDUcmYYAjm2EGXoSUK47SwJAVL4JzEMzT5cgmtdztlhzUDT448DDzgb16xqXZuAVcFEVRFMXDMVsCPQS4dvkG3/7iJ+l9gKNbyPouAPWVS7hLzyGfeIUXrj1d1bn3yTgc+Nn22muv2S//8i9/bI+XNPPlO+/w+tFdjmNHnyNRM7rN7ol5ghntIAxJUQeVE8QJXsBhTEPFog4QDLWIQ/BOCN6zGxquLQ64tjhgb7IoZ/+KoiiK4iNQTdB9HdIdyD10isU1Gl/hxs1EuttiBPzhgmufVvylL30su20i8itm9tqj/J5PTIbvWRKc51N7F2nTgJ4ax2YYkFTBIIgDArhEIuMN1AynQnYQnMMscy9GJCaCd3iB4D0uR4YcWcWWu/2S52cHPDffZ6+ZlS3foiiKovhhxCPMBrAIEqFSqOa4dINrrxr2MoirQQTZ/fRT/TpbAr7HZN5M+dGL16jlJq+f3mYVITolqeEtQHZ4EYKAcwKyPeMnBs4wJ6iNAaGYIQgxZ5w4FEVMOY0bZONYx4GL0xnPzQ9pwtN3kLQoiqIoPm42dFg8xnIH2UANRBFrITjMTZEsEGok7EJ94ayX/FBKwPcYzeuG3/PcixzOZnzr+DYnQ0efDVFhyEaXM4NziIzdo0XGs30eRyQTNSMugwkqgsNQlIpA1EwfE8e6pB02HA9LTvs1L+5eZH+y+6Fre5KYGaoKGCklRBx1/WgmkagqZoYI0PUMqeXkpKeZ1uxfvPhIHqMoiqJ4+uThXeLqbcxViPagCbwRgkfMIZKwukFcA+4C8pQfnyoB32MmIryyd5ELzZwbm1NurE5pU6brI7HymEHMeczsiREAL56sijghOAfIGBQJVCokjUzqwDK1TLOnr4TQd2xyyzp3fGrvKhdne2d96aSUyLklmSIiGEo/JHptEenJOuAd28kkhlkEl6mo6OMER8Okuoyvm+9+z5wwzYAS44ZMxMjjL2bOYymRZEOmQ0h4KuohsL6X0K/foH/rbfT4Hps60L78AtVLn+DC7/t9T3WaviiKovjhpHZNd/tN9PgdZLqDn7oxwaJCyhkmnoqA+Dm4i0j19CcISsD3MdmZTNmZTHlhvs+dzYp73YbZqufmxjjqOhTDRMGUII7a17Q6ZrucG88ACkYIjko8g0WyRnyoqNXhnWGqHA3GG8cwCQ2LevKxXZ92KzR3mM8Mmml1Q5dX9Dqgqoh4nNQMusGIKANextFzs7pmsFMapoQkkDPxqEZvbujqr9Fc2IWdBpk4fHB0SYBEr6dkyWRVMoZnQbINWCJ4qCXgUsP6ZkX3S99k/cv/FC8DvhZMjPXN1/Hf/Ap+OGbvD/3XcU/5b29FURTFg9l8+2vYrdcRl7Dck7mImwZcjuAFyNh0jjCBcAhPYd+971UCvo/ZomlYNA3XdJ+jxZp3VnOuL5fc61o6S2iONJWnDlDplD5HMAOnCA5nRkJREk4ctTMqZwTJVE4JAp2ecmt9g1l4+bEGMabK5jtfw9IdYI2I0c9roq9Z05OdkLKRsxBkQmdHOKdARt6rRt5lPdxlHhqghx7i15Xh7a/SHM7wl/bQ9QnWRZhNGHZ3sFDT6RJFURUS4GxOx12EFi81UOFzRXV6xPqrsP6VX6KqE2EqSB0IezuAkHNi9cv/mOrCIYvPP9KCqKIoiuIJtDq5R7rxNpI2OGcgDpa30H6CTncRKrAAlVBXk/H83jOgBHxnJDjPpZ1dLu3s8oWLF7m33nDSd2ws0WmPqrLsO+4NKzrNQAYb27dEi6Aw9ULwRu2MxkPjhMZBkEybj1nGHfaaR5eGbttTeusIMhCXa9y3v4MbbiC2QhshVzWDu0Dr7pJrR5YKdRUiFdk6cB1ZDYcgQVA8Ro8XEMv4HElvTei/8luEg4Db20d8j1kGX6Fpgw5TkqwwGbOe2RwYiCjjEBfDieFM8RlWwwH9W/8/fA1+LjSvXKO6tIt3Gbyg2WE9xHtvod2ncJP9R/Z8FUVRFE+e/OYb6He+jb8kkDvAY5UhKWJdi3kZK3PTATL7JOL8WS/5kSgB3xOgqiqu7O9xhfHcXVJlFTtONxtOhg232hXLuCGRcQZ9NpzLTAJMHDQe5l7YCTUVQu3HwHBI94hhRuVnD7QOVWWIPZ22jAGmkpMSaUm6JLPBSWQWZ9hX30HkBEt30GkDLmB1w6AtOXVkq6E2kIDD07MBk3E7VxxOHV4mxNRRicfnjHUV8du3MGupdl5AvCIOxAkqGUJDsp4cI9SC6rhuT020iIliGEbGmOBiIt+sSKdH1DsVs8+/itsJOD8ezMXAhYyFGj9x2OYOlICvKIrimZXaDXT3SMdHyO4BeMWZIpow58GFMcFAJu++iITDs17yI1MCvidQcI79ZsZ+MwZqOWeO2w3H3Yp7/ZLbccl6MCqXmXhjt3bsE5hoj7OIz0LlBqaWydzDqjAWREgmo8TUEjUhZKIqAkRV1EWG1DLoAGaICThBfIdoSxBorILjU6w/wYVj8CBOUcuY86hmDMV0wEwQjaTtX7MxGANQxg1dtrc7lAxrJd+7g6scTBrEMoigAogHcahkzCLG/fMUY3Xv/e80vun2TUAMN6mpDy5TXZwA7XizMM5qUQGJiN+A67cVvaWAoyiK4pm0/g40irqKfOMY9/xsfE1J264YksApNLsgh0gzPesVPzIl4HsKeO+5sNjhwmKH5/p93ji5yds24KVnVsGBNEzyMX5Y00jAi+Fqj8rAOr+FxbcZvCMnj0kiWSKj5JwwkbEvoNRshhVmipngJOC8IqpgPd4p3nmqoUZvLzEiObU475FtoGX3Ay5TUI9lwCmVONQ8RkYAZw5zkEjMwhRyxOEQAqYZCdvvZwCybVujYAlnFSrC2LhwrILODASZEnHb+wlOMqmaI1eguXqNyQuCyN0x0hPF3BgM4gwhIIsADBB7+BiLXYqiKIqPh8UBhrtMmw39hedIb38VLOIP95DaoHLgKkgB3B5+7+kcofb9lIDvKTNvpnz64CpY5jjdZN8HprrC92sqURwdvpmiITHYu6Q4oNQMaY56yLknmcN02+jZAFvQ2TFJI2wDL5E0BmCuQ/NAAJzzOBRLCUyRbdCFKqKOnAZ8mJBsQLZn6RQhk6mY0FqHd2EM1PBjjyOZk+mofY3OwE3nWNciwwDTClQQNUwFciTYDlnGDKFzSsaB3c8cNhgtap4sDpPMzrTj9Lnn8Rdb7OTueM3Oo9trFwE3bWAxwcIADEAJ+IqiKJ45+QSkw9mG5hMHpNPniMc3SMdLZHcH7yvEeTIV09/9JRYXL531ih+pEvA9hZqq4tMH13hnY1RpiUtLag/eElLV4GqirEnaYjIh0eFkQZdPESqy9mMzZ/MggUEj0QbG8ExQSUDAWyJLxm1PxeXtVzAVuLVB9ye4vEGswgyquIbJguQCKori8S6MG6yqNLKHMmz3U8cd1T4lpuECRsJPNzQvvED39XvE0yX1/CLotihDtxm9HAnTBSo9hsebwDa4q1mQzCFimAVipYjbY/JpT+V3GdJ18jD2M9T7za6bmmZvF+oZGWMsJSmKoiieJWYR/AaZOCwI88kd+NFX6L9zSHz3XaxvscoRLl9h+uIrzL/4xbNe8iNXAr6nVFM3PM8Vhq7FOo9jAO+QUBN9QjUCgWwJw5Poxq1MA8bhbBjgrCZJGrdyGfsAioxbo4LhtsfjzAwlkyTTHMyIb3rQCWYtRMU5N2b5ujXT2Q5IxKoJOUwR9YgJTqcE2SWL4rZbwEE8FQ2BCaECPrOkOl6jpzeRhWG1IMEjNq7B1x7v9siSEMmoJpxz6DYzWXMNRMHGDV6pasJeAw68e4HUnaBdR8awusJNJthkQvQexBMo5/eKoiieOXYPOMaFmjybQ+qZT28z/dyc4dVPo73AZMJkprjdy4Tpzlmv+JErAd9TbFLv4OOC6GqwDrxHCSgRGCd1oGCEMQh6/zk7YAzqEp6GZLw37cMU8IYaKB4ngkmHmjCESLNoCK++SP/GW8wuXEF1iUsecZ7GBiBTX3mJVM/IJuArfD2hkoYQJqhlHA7nPIGGpvnuJA2bZ9Z/+JD2a2+Tjm8hq4qq2sHvVFS7C/xkBs5jUlMlj0oeiyykogo7BBfGfoUu/HM9CPNwxEaOcbMGpz0kyJax4BkkjEW75mmwkuEriqJ4hph2oEvQAcQhsxmWE7QrXO6ZVB1UQFjA4iqy/+pZL/mxKAHfU877Q8RNyHmN2dinxAEeIZswljdksAakxwEZA3MgjoRS4fGuQtXGewuAx0wIrkIkgU3AIAObibC4tof3n2a4tcT5Bu894hvYO4Tdy+wunsdV8x+68bN4z+LKqyyuvEq7XhPv3sUHz/TiIeIcEr4bHNJ8/+/zvdTVRJkS6enNM1igs4Qkx4SKWhRzFb0pT38/9aIoiuI9+RjSKWoJyFDPkJlhzQRSBDUIFdQX8fNPINPFWa/4sSgB31POTfagfh6nK8x6EoLTCpOAkQkukFEqKiIBM8NJhQlj0YU4kETFFLbbvOARM5yE8eukwnkQFDMlm9BOHNNXnmf68ktwL4J6/GyH6dWXH9m1TedzpvP5o/lm4onWsE473O1PaPMpZmNvFnEd07DgolZM0UfzeEVRFMWZsxiJ7TE5LsESuATicVVFmC5wlgEPYQKyA/Wz03fve5WA71mweBHSGknfwZEJrsGoydYieLwFolMq2yO5JcEqRAQTGYswxKiZUFUTovaIjQ2TUQi5YlovCOJBICBUfkrl5szqfUKo4OCsn4APJwQ6C7zbtbRZx4yn84Ag2VgSsbZj7o29HyJzWBRFUTy51ne+Ce07wAYnGYKHAOocA0odGpz3UAm4A8Q9u2HRs3tl54irJ+jB5+B0gos3qZJBOMD8jEyPuAmoIQbeXcQ0UVVj9g5zOKsJfoZ3E5y4cZQZHk/FJExpqgmYJ7iA90/nCTcnjvWg9KYkGjZ5Q0oJAYJUTF1DlwY2uT/rpRZFURSPwO3f/m2a469husLtTNBakewQrTAP0DGIY+ImwGL79uwqAd8zwlUTuPA5tL2ITyvEepxToum4tSsCYYpRITLBOcO5Cm+OOkzH95/SYO5B5JxZDR29etaxQ80zbId0qAO1iFSeVV8CvqIoiqfd6ckR/s4Nuje+Rri4h9Tj6XarFacteI/kAFRoBY7dMTnyDCsB3zPGTS8CF/FAUB1bCIuc+3FhIoKK0GcjZsNwY+dpIJugCdZi5HKGryiK4ummSvuNb+FuvUNaLZE6IxOPsxlOBa08ooJlEM2k2ZxG9s561Y9dCfieYfJDVsg+y7z35OzIWcg5jC1Ztj33ZCxfoXZCr/aDv1FRFEXxROu678DpKXnTYacbaBx66yY2XICdOVIZKhknFVpH/E4FO892dg9KwFecEyJC7RuSQjZHzOPsEMaufYg4khlen91t7aIoimddN1yHtCIeL4EKi0a6tyLoFOtuYCcTmE2BgEWlvnoNaZ7dytz3KwFfcW7UUuHUkzVj5kgqYIITow4ezI39CM1w53wLvCiK4mnTxTtkbuMsgnnUTZDZIenudfIQ8YsZFg05bUECmoXw4u+h2SkBX1E8U4KvmFVTujzm9tQyZuAkEKiYum0vQrP35v0WRVEUT75+OCFxG6zFwkC4PGfz1ZtUey9CP5BPbmLrASqHeIeFCbMv/BjV1U+f9dI/NiXgK86NxnuEwMxNmcqU6BTFqPBUwcYxcPbdwXNFURTFk29ISyI3gBUiEfMw+0QgvXuR/vgW1fOfhZ1L2PoemOH29gjPvUz+9OeYP//8WS//Y1MCvuLccAgTHKdRudX2qCn3M3qzquLl/TmKx1ShFLwURVE88bp8gto7wBpQjAERT9iLTH/sIvrrnnx8AvM9wv5lXF3j9vfxV5/j0he+cNbL/1iVgK84N0Q862isotFFoU+KqeK9p3bGu6crDpoZpVC3KIriyTfkJXATWCIYhgGCSYYA0ysbJn9kwer2BfTWgBrUhzvsvHqNyc6lM179x68EfMW5EZNx0kWONj3bKbqoeMRgExXVxEnblU58RVEUTzjVhOa7EO8hpDHI85Pt+euMOTe+v1AWswF5uca5BtzLTJ7hebk/SAn4inNjEyPrlBE8MStCwAsgkJKRnHDSbVj3PdOq/GgURVE8iUyVfPIG8C7YGkSRIKAZczMIm/HrRMegzwWQKXCZSXU+gz0oAV9xjqScsSxjzz3NmBomgmB453AqbJIQUzrrpRZFURTfR7z56zDcBd9ByOAU1CFugEqxtBhvH6elA7s4DplUl8945WerBHzFueHFgwk5QiAwbNuyBDzBOQYDUzv3Y+iKoiieVMO734B3fxtmE2SSMe8QzYDHzBBWUBnYDGQCVPgS7AEl4CvOkZ26YtzBFbLa2HhZDfMgBl6FxgWqUJ31UouiKIrvoapw95vQ3gVqqC/AMEAQRA38dka6V1CDACKHTEIJ9qAEfMU5Mqkq5mHCkS5RBDUwA3R8cw5mdY2jZPiKoiieNOn2dYZ77+C6E6QXCDNoIpIbqAJiEbwgWSBMwR1Q8dxZL/uJUQK+4tyovGNe1zShIg0DlThsW8hlCLN6wtzXSAn4iqIozpTlBO0RaA+pJ9ma4c4GVkdYewK1R/Kb8Nwr41z03CFhCpUDX8NsH8cLeF/mo99XAr7i3FAFL7A3meBl7NqEjdsEvqqZVwFxrrRlKYqi+BglTZBPx6Atd0iOSFoxNlP2aOxZvZkIwUHK45sYIhu48Q2YXYSDi5g0OHNItSCEF3C+OetLe6KUgK84NzKGc555VZOjcWvZogZNFbg4a5gGMDNcGa5WFEXx2FiMZFYYHcgAOkBaQ24xrZB8jGMYd1tsQmp7+uun1FcazE8wdUjMqIBoRtJN2NyDqobZczD/NM5Pz/oynzgl4CvODTXFC9w77RjUqH14L+t3Z91xkGoOFpQq3aIoikdI+zU3X3+Hqr3H5LkpTAaqBsR5xNm4bZt7iA6sw2hRURwTGJa0t5W8OiEd7iH9gMwvYuu70CXwinkDn7HZAhbXqKvFWV/yE6kEfMX5oXC0GciaaHuFsUgXjRBEaJ2SOkNcCfiKoigexuY730L7Y47aCvfWTWxzE39lSvfNFWG3wi7uIDuH1JUh1gMKYQ5pxTgTVzE8EBGtsbYlrSqCJtgosnsNiy1YC9LA4hCaPWxoYXp+myv/ICXgK86NflCGLtMlYTNkohgCGMbEO2p1dENCrWzpFkVRfBTL73wL+843EFtzs36Z+mvf5PhX/hk7P3IV22uhyqSYsWVNaDZkwDtDyIynae43TDYMxQHmFF9PSHeXhJ0Jpsfo3ZvQTLBqB8FjR/dg2lJf/YP4acnwfZAS8BXnRhszgyldSmTJqBqCIM6IZrQp0eVMjAbl+EdRFMX3paqk3DPoQNYByy16coz+5m8g/oR6b0F1c83JP/tVvG+pL06AiDmHEwMvWMwQEubGmea8VzKXx356EqGaMrvQ01/cZfj6m1TTBZIdLngsRmQ4QvFY1VBduIY/fPXsnpQnXAn4inOjy4l2W93lAkgCtXHTwHvBDDYpk3Kp0y2KorhPNWOWGFLLJrW0ecOQNmTrETGa4KiJ+G/dxpa3qC4vsIMvkr/yOro8JlyqMQx3f/fEDGJGFIiGORnju5zApiAbtp8E28FPeyYv7MHxFTbvfIfp5X0sr7HUgXioZ1SXXqJ6+TX8Xmmy/P2UgK84NxwyjtSQTOUEMSOPv2jiPagllIyXsqVbFMX5ZvGElJeobUgSGVKmS7DMp3R5wFAEYRI8KWVCP8Vu3cB7xbynm0wZ7p6AJhjGf28BJGfMApZ6LBtqbtvs3kFoQfchDyBpzPr5HucuMH9uDXIN+/Yu7a1beJnjdy8hsx3qy8/TfOqLNIcXzvIpe+KVgK84N5paCA7ECZoToRICBgimivcB7w1K0UZRFOeQmbG58TaWTpBqhXGKTgLJB3rzbNJArz1qDkMJLiA6bpfYukVjxIUxsKutwlUNOii2aUnrSF0J6kGGDD6R+w3SHOAFcAbUY4uWcHEs3pA4Bn1i+OlFdj5RMb16lc3xp7CNQqioX36Z+e7uWT5tT40S8BXnxrSumM8cmyRkIKPbmRpGCMKkFnYbT1UCvqIozpmcEvf+2T/G2QlumsCtUC/kaUAXc/owZ7DN9pRdRsQhpmQZ8JYxHxDvsKQQlfDWP6S59grLfzZFhxXtN68Tft9nkLzBJcOGjK1WsLOH+EPED4Dj/jk+557DeQdU45ufIZMD6n1PfeWsnqWnWwn4inNjXnt2Jp4uelzMxGSIU8QcIQiziWMy8zhfAr6iKM6Xu//w/0v+zlepXj1E8oBaxMSjQyKvAzp1ZJ8BBXGYgYkfpxUJ6KKnuXCZ9PYRab0mXLqAvnCR2e/6LP1Xfgu5fo925zqzH3kFzRvolWoScN4Q5yFcAibgPd4qZDJHqjIp41EqAV9xblTesdPUrLueaVOzjJEhK07goK6ZBsek8miZtFEUxTmyfucW7dd+m7CTEYuYRpDxX0IzwbJhOSGi4MeaCySP1bFUmDiyJPKVBXLvEFsuiU3LpYMvc+/Hf4yqqdl863Xa198ln7TMPvsK88+/jL94iWbvMuL38dXsrJ+GZ14J+IpzIzhh1giTqePmeoPDUQXBCbQ6EFxN7QUrffiKojhH1l9/k3z3JmEx573WKGKwnTeORiRVmGccdwZg7r32yEjANJOuKLV+Bnvj26TVCq0iezs36X7qX2Dyrc9gx8e4Sgj7u+jiCnvXPntGV3w+lYCvODdEhKyKojReWMceM0FEaLyQLbDqO4aUznqpRVEUHxtt1+PUii5s92cNzCFqiAPRSLBE5WoGDIegeEQEdRmVGq0mqAEve+TK5/DXNzAk8FNmtbD443+4jK08YyXgK84NBXpNdCmizsYDxqrItgfUoIlWM10J+IqiOEdMgCGT1wO6XCOTOeQB59xYPKuKpcxEZohTkhrJHODAHCkHamY0oSKIJ8xr/Oefo5IFTVNapTwpSsBXnBs5Z1K290anBSdkBBEjOAcYXU50eTjbhRZFUXyMmhcOWO9cQk/uMNy4TT2f4xcBhkRwniyC8wYBQnWAmmfIgiAEmTD1C+bNgtrPcC7gnDvrSyo+QAn4inMlWR4zemks1nDbFiy6HesjGEMqkzaKojg/Fi/s033yE7RfWWK3llBdp3rxGvX+HFPDT2dU+5eh3mNe7SGuIUhN8JMS3D1FSsBXnBtNCDgZx3KLCYbC9mMwvDhMwco5k6IozpFqsc/0s3sgX2C4fp3+nRPy6bfIl5+nfvlFpD7E31kzuXIZt1Oa4D2tSsBXnBt1CExCQAR8EGLM22BPCCIIHu9gUn5jLYriGWdmxLihyx02bGiuTPBDIl5+keHoGpoNV9fkdMRic5368HnIy7NedvEQSsBXnBveOXbrmptBiNEIXhAZ+0yJczinNN6XLYqiKJ5JMW6IuqZPA108IbkNMDCPC6p+Q9ht8NUJzaQHM0QM39QwOSTHExjWlH8dn14l4CvODQFmVcU8BIIYy2T0sceZxwksmimNlzJKtyiKZ8q6u0PK9+h1SUZo4wpcgpyocBAn0N2D9jbi58jBBdAE4iEP0N7DxMGsO+tLKR5CCfiKc0NEcCLshECXBnbrQOtAVam9x4vinTDkUrRRFMXTr+83rPUGQ76BWSRjxAyRiGlHLRVVnuC7DTpEXGwhdRCPGRtZjSPUxACtyYOVoOEpVv7sinNDAHGgYpiD5dCDCKrjTF0bEsElkkVUtWztFkXxVIox0qUT2vwug97CJI8ZO6a0eYUXRSxjYmioIZ2CTSEJMIBvQPK2fYGNsZ9MwOqzvbDioZSArzg3RIRg0OVI1EifxwbLZhDT+LmQHJs0oKa4clqlKIonnKqStKfPPXFYM9iKnJcMlnFuDbZBnJDVMDEcGRNFTAEZZ+Vah/UZdQskHiE6/jKMZTA3Bnv1LoS9s77c4iGUgK84V1Sg00ybElmNbAoiSDLMe9oYOUktfUwEX348iqJ4MqQUUeI2sNvQW0e2jqwRcBiK2hK1HrWM9zVJl4gkgnrMxq/KgLNtMyozksswmaJ2is8Bk11AwSLgEQK4BuQAufj8GT4DxcMqr2jFuZIs0+c4pvVEMHNgNk6HNMhAO0Ta1DNnctbLLYriHLlz+zbh9m1kITSHu6hAtFMG68gksjpShoE1UTNse4l6Kkw2mCpOBMRQFBi3ZDMJJx5NLV4CIoqRUAylJ812CTtT8p0lJMXXU8QqxDlEKkgVPP8i9e7hGT9DxcMoAV9xrhiCmiMr4wBJtfFosgiIJ5sxmHG/Q19RFMWjYmYMwxq1DhHFi8d1Lbe+cYRb3oLlTVRXpAtzUj4gzRLW1CQR1DzZAr1uiKooDnFCoELdgGoHYhgeMQG+eyzF2DaaD5GaXVo9pZIaJZFVaIMyv3AFLw45vof0PSCIeahmcPULNK/8rjN97oqHVwK+4lxpxIMZTjxDzggeMcMhxGwEPJiU03tFUTywcU53T7aMOSHnhGokaYfZtvBBFCcbjBVCJuDw2bH5WkV+6xtsvvWbuKkQLswJF6dsjr4Na2B/hk53UJuQJJE0YpaBABaAjKqSt7+megQTh1cju4C3DDJW3AoOpGfqdkka8W6Cw5MRNlPH9IXP0OxHXNvjzJBmD/avUe8cnOXTWzwiJeArzpVp3TCRmrUqaEbFEAQzxv1ccTQEpFToFkXxAXKORG1ph5Y+bWitJaaBZAlwBAIiA4Nuxn4mTpmFCZW14BOVQDCPyzWycay/dZP0+pfxvkdcg+wusDqCDaTsYbVBqgbChKQJ3W7FQh53KcRvV2aMRRjjNm8mAgFlgrMBHHipEKkQczRuH+8WiE4ILhBCzSzs4XfLfNxnVQn4inNl4msmoSEQGUyRnMEJzgQfHMF5KlcT3vtHtCiK80hVUY30cUm2Ddk6em3JFkm5ok8tHZGkmagDAJU0iCQyHc4c4hx1dkjYMOQ1QcBcjUWP6IZbb1wiH9+Gdgk7DmqPazwmmXz//F3KuCGCz9uV2fv+r8j2P8WNt4kAgpER9YirEWo8DiceLw3B7TGTS8xmh0iZHX5ulICvOFccMPcNM9+DOZZtj1Nw3uEtsPANtQRSab5cFM+0GCO9RlQUUaUfWjKJqBtMOjwJ5w2xuA34MglFdMIy9iQgZyXqmFFz3uEweluBKIonqCNUc1LeIBIx9SiZyjcQe+zeGj05GitiZYJ4x/3jw4Jh2HY3OKMCom48hkLCEBAhozgqnDSoDXgcJg4xN8Z+ajgfcLZLI3vUYZ9FvY/35Zfa86YEfMW54p2jdoGJq8kukxpoYySZY+5qTB2Ip4R7RfFkU9XtWbmW3hQzxbsAJiQzUooMNqBmCODEoQptVjZxRasDlgcqD5UIdQWJFY5MkEwInhAz2VokADiy6vbcXGLIESSMTY2BiimZbnu+jm2lbAIMY9jm5Qxntn1//Bw4kAA5YzHCkBGtECeI2vZ4iY7r8hOyJhQdCzMsjN9LwNkMJ4KZUUk1fl88wVc0fp9FdZlZdYgv7abOrfInX5wrIuO2R5fhaN2Bczg8GKyHSFLjICdyyfAVxZlYrVawXjGbe5CMOCP6gEkcGwRbJGXI2eiso9eeZImYIWWPkwlJhY12pBwxEcBwUqFasc4tSRPeg0dpvDDB06aOIEYthnNj8UNmQBnQCOIDjpo2t2BuDOJ0PDMncr8DgDL2sBMQtmftxnPCMIZ3WRTTjNEwffWQ0+v7sLyB5QhdRJcr/N4U11SYJjyChBoT8CY0YYrLjmweEc/9wM5TU7FLFUBRAhW1X1D7HWbVBUIoL/fnXfkbUJwrZtBGpR0SCaPtB0TGzZPAuAVyr43EFM96qUXxTOr7FtWI94rEDoZT4vKU07ci6d4tmn1PNY+spkqY7yIHe0gAI2EekioxO9bWMaSBjIzBnnpi8mTr2GjEcGCMZ+F03L7s8oaBgUoclsF5j6gw+IjEfnwcD4jHNGE2Tt3JQLBt3zvsvWydiKEYYmCMPfCyCdjYgsXhSRpxrgY6TMaMXvKZMJmws/c27d4l0ukttL2FDJl82uJOevzlOcgaaSbQTMA3ZBWcTahkj+yMbDKeO/Yzpm6HOkwIbkrlAs5Vpfii+OeUgK84Vywn2hRphzj+w8zYUkEEsnP0ydj0iWVfAr6i+Cju95rrtQdLiDdSjJj1JDkFBsSM6RBw7QlplTj6stD/9m+w88k9bN2ThoQfFlAFQpfRiYF3WHaoNXS5I9OSUbJ5kglqhkpgk1tizogETBymY2kDlmitQ0zJPozTJkwRHDn3OEkobvw+CIZ7L7ADATOSKN7VJIt46rHTnRmGkC1RSwAc4sbbRByDJhq/w1hVG8e1OEFzjZ8o/kcuoyK449dhfRddReI7dwnmaD75Ev5gB2saFI/zExy7OD8n4Kl8QKShqqoz/BMvnhYl4CvOlYwRB0XdOBvcObaHn8G5sZlpb5FNSme91KI4UznnbcWnYWrknDExavHEHFl/7Tp+D+bP7YwjuiwxWKbPLQMrUu5BMk4qgotkBrwlhMBE51j7DrbesHrnCutf/adMDsBXGyS3SNPgm7GIIQ1rXAjgAskcyQLZJTTnMfumNjYllkC0iJmilsfKVTPA48TRxQGzNBY/WCaIx7g/kWKbu7MxgEQNcw62Wf/7o8iETJBAT0vjJrQ6EKRCBVQz4qfUMiVJHKticXgcUSPzcADSjf/miCM7hbDLhZd7bs0+i3/9EJ/vEWQgLDzhwj4yu8xs70WMQF03Z/VXoXhGlICvOFcEN87PdYKljHfyXlVcJWNzAzEj2Q/+PkXxNIoxjnOkzVBVkilqxpAGek2scqTXDjUlAIvKs98YtYsEHTg9WmC/+W3oj5k8PyGkgaN1Hs+c7Ryw0gGVSL7f7NccuMSgp4gD8FRWE+IaGVrSUNF/5wQ2x9SfuYblFhdkrFataiQYZpGcFF+NRy+yKJi+l30bT8ltixgU1AwTwBS2Z3ZhDOAs2baJCdz/wTczvPNkFf65cgpjbEpsAVC8cxgeZWARDlj2p9RuRtZMRUUUI2mikV0awIiIE5xzCAG1mjpcpBFPwHAh4KsJlcx45arCC/sojsiE6Wz2cf61KM6JEvAV50pTeao6EHolBxk3bu6fcxlfJRC5/4JQPAuGpGzWPSklYtQx0IkZy0I/DHSbSNtGJDimswmTRcVkVlEFz7SpcF6og2dSPRltLE7WazZJcWLvFQYYSkqZPmc2qSebUYkjuDB+jcHRpmOdIquhJ6mCGMELC+eJwejSsN2GVSpnzBvPzNf0qQNJbO5eIP7ib7H87a9y+AdfIt65RZoYNhWsa/DO0IkQbQAJODO8m6I6gKTxXBtClR2aNjiNaL5Ad/stcIbzgCVwARmjLbhfL282vivbpON7vejuh24ytlfxYex/l/K2QGt8ftS2mUlXo+81LDayMmbyxOElbqdhjKPJsilVmOLUoRbHwM0qdJsZ3J1cGTN1eexvJ3iCNNS+IZjHi7Dt+UQlE6bVHOfCDzxX5ygvysXjU/5uFefKNAT2moq7G495ZR17so7/0ArCzNfsTD11KIedn0Z9zKzayPGq4927LfdOW1YnPUZGO6UKwsQ7vCo5KcvjjuV6wFWeNmeyc0x3Gnb2p8wOGuomkIKSshJEONipOWxqpnVFUwfmoWJSh7EdBsagmayGR6i8p/IeL+CcPHCD22U7ZshyNvocSRhdUtZtx831hpN+oMsDOGNWe6a1MHcVJ6njZGjJ2zyVquLxHDRT1oPRpcSgSsz5vbxYEOVw3nC66caecyg+GN4JCwHklJQTTcrYV25x9xd+kf0ffxXJp1it47k658jVhH51RJAJTMZfnBSHF8FsGIM1Z4gkjMx4nm1bwSpgWbcfK+SEUWOaybrN9iGYGMEbKRleAkLGCQQRMoI3w+MIOKIIIgHE8OrGsNAJE6vpNOKcZ4wet0UXeCq3QKRHttu4BkR1TNw+3nmEOGYMpcLLHpWbU7kZWEXl63KOrnjilYCvOFecc+xMKmaNo+3S+GIs45RJLx6cIqIEX9qyPOmWbeTeZsPRZmAzKKsh0fYJl+D23ZbNZmC1GqgFNuuIxswsCPtNTWVK30buHm2oJoFhnehNkcqxTJk1xtwpp5rIYswmjqoOfHu5IZoycZ5Z5al8xSwEJqGi7TOrbqDPmSAwqyt2J4GdSUUVHB6IOTPEsR2I956mEqrgEU2ctvezcMo6JRQIlTKrAlJl7rUDqziMrUr8GCgd9ZnD2YRbtqLTYQz2thWiZoJZIqtw0g/UPrCJcXsezRBnTJuKG+sV0yrQpcjEgzMI5phWgpEQjbB+jvW3vkK2nma/AXoEG19BxAgh0KcWUoUzP44U2/aju99AWBgTaxocNjjEeZw7YnLxIstvCem0x19sUI1IzFi7IkznqHPbn89ARmiCoDR4FM0RE0flPFEdtXckq2kkoGY4AtmPc2QxYe4aGq1IBiJG5bbBqVXMQsM0XMRkwMkYPE58Qx1mVDIjIDjXEMKsNC0unkol4CvOFREZX6gr48BqNgrZFFGonGNaB5rgx20yszJ26AnSx8iddc/pJnJzteLWuufWacvROo1zQjVwOAmcnHR0bSR3hss2ZrW6cUsxqhAlsV61tK2SomFhbMaLF2I2aow+Z46O1ljtmNSe1ox1O9D2aezrJo558MxrxdPTdsp6yKQ8ZovHt55JJRzOJ0w9LLvMpkuklDEzNBvTIFyYBzTUHK86shfaQTGvZAF85vn9KctVTxsHqAzndJyeEIxGoM+RZerIpPGXlvuNfQ1mruaoXZPVkXIeg0BR8ti0hOAcmzy817stmxDMxqa/LuHQbSZtRn/zNqGpMBmbHI/H47ZbqzqelxPNjL8+GSqenNPY/04i96tdk7ZUzQ6mAz4uWbx0mc3rz9HeOqG+9BySjrGsaDeQ2xZX7eGDgXi8VOh23rXqLvgBp9u+edmh6ghuirmKgUyy7fYtQu083k8IVhEtE8WoEKauYaeesqinBOcJziPm8L4qgV3xTHnsAZ+MnSF/GbhuZj/9vtv/FvBnzWzxAff5Y8C/DdTAAPwbZvZfisgM+L8Bn2Qcdf//NLO/8rivoXi2iDN2m4ojG9iXcSam4mi80TihrpSoA0mVqvyDf2bunm44Wg+0Q2KTM3c3PUmM26s1x21kNUSWm4xuD+uLRiqdcLqJWDRiF5lWjr6LWMqIQnKeHIyMY73e4KuKOGRiNph41AQNjuxh1UVqH6jFaDdCZ4lsblsDkBFTgkA7GMt23IKtvEfGSVsIipoj6wYRY+iMYRgbftw/gtb1RgieGzePWcwb1l3EHGO7EA/e4LQf6HSg04xPSgjgZAwY66bmdGjZ5IEgbpy3uj2zhwniHJuUqF1F0m2Wbbs9mk3emyhj28DNZOwpJ/BehS4w3hAcaYjvHasTHR/DzNDY42c1YjIm92QsjTAyuCnOEpAwPOaMlIQQdmAiVJfusP/7fozlr/0q/fUNk09cxGxDHiJutcTtHeCrfZAa9YIXh5jHBc9Ua9SP31mqCrFA5RtsOxVDdTzfGHygqRqc83gcguDElYCuOFc+jgzfXwC+Cuzev0FEXgMOfsB97gB/0szeEZEvAn8fuLr93P/azH5BRGrg/y0i/w0z+88e09qLZ1AQoXaOqookhaoCNOODkcSY4sb+XppLwPcxUR2bYS/byL3TgbfvnHDjXstqyEglrFNkNhPqquJu2zFEZTlk2rg9nJ9hEjx3lx19r0zYHshPQsoGWQgGGUVNUR0b5AYxsilmIGrbPj1KnzJ5GwTJdhh9TqBj6zYATIUhwnpIrPuI4qh1PKfvHWNTDjG8CH2v9H3Ci22Prxkijp2J49ZyYMjGJkZ6GzNvKoZLEGpHGyO9KuoUzYYLY8Dm1Egpkx1jMOcMdz9Ye2+yw1ixqmyfJx2r0oUxC2kKAY8hOBHExjFeg0HKjhw8KorKHaavvMjmq1+lP2qZXvLjubtk4A3pW5rZJaIb8DLZniMcX140K97torLB4xFAQ6aVXaZ+lxAS+1+IuP0/RHr3mKFdMrnyAs2FKW6xYLJ3gKt2IMxI3gE1jpJ9K4of1mMN+ETkGvBTwL8F/MXtbR74G8B/D/hvf9D9zOzX3vfhl4GpiDRmtgF+Yfs1g4j8KnDt8V1B8SxyBr31BDGMiLmxYtExvthnBNWGdH+7qnikzGzclj1asxoSQ860gxFTZuiVG3eW3NlEoiouONKgdHmsnrzTrUjJUKDtxwIJMx2DF3NkDLWM4kmmDIxD7VUzKFSVH6uwLRO8jMf1xZFlu40p25jICeIFcZBtLDO4X+05DkuQbdmD21Z0ylj4M8aWiArijD6NPeFSsnHig415r/Fkm4IIy75DrKIbMrrt0SZmqEA0CLZtNWLj+mQsKwCELDAJgZgjbLNqsp2nKoBmY6du6AalqTwpjRVKIuO5uC4ndpp6bMPi6rGoQjw5CW2EmQvj189OWbzyIqsXrrL62g0mz30OdA1R8B7UGS4O1BcuM4htwzoZi2HF4aSh4sIYkLqx6KLyE0QW1BOPE+HyBYEfW+Cq+vv+3SllEUXx0T3uDN/fBP4ysPO+2/488PNmduMBz0f9KeBXzax//40isg/8SeB/+0F3EpE/B/w5gJdeeumHXXfxDHPOcG5ANFP7bT99GSsUx0HkEZWE5gSUZqcfRdf19H0mJUUFhqxshsTpJnJ7OfDm0YbT9UCfFDceiePizBNbOOoG+pQxcXiUjWWUTDbPZkjjkSw8ZtsE03Z7MsbM/rTheDBiVJwfb583gcEMnwW18cxbM6nZNaFtB5omYGkMvhJGI4FQVfRuPNcZvMOJ4LfjucYUHHjv8Ntibnd/91PGXyhgvCYvoBls3GOFbQ+4+2fsVA1vFckyXgJsz9bdL3DImpnXNV2Xx15z24BvDOygV2U31AyaMBTvZbsT6zATekscNDPu5g0zX9Na3j7GGMwqxkFYkLXHghGkRiXhnLFKwm6zw9xH8JH6cz2Xlj/J8S/9E05+8zsc/p5XgR6LiXp3QX2wR5gumOYpydWoeUQclZtShym1H9uSlHOxRXE2HlvAJyI/Ddwys18RkZ/c3vYC8KeBn3zA7/EjwF8H/vj33B6A/xj4W2b2rQ+6r5n9HPBzAK+99lpJ1RTvcZLxKFM/DjoX0TEfIeNIJScZccOYNSmAMcMUsxJjYt0nll1kGDKWt89bUvqYiW3k+F5L10eGQRmyQuWQaUDE0Yry7aOBTRy3083A+fEM3tQJx6cDvY6VptllJs4zJEW8jWeysqLiqNzYPNtjuG1aLjNmmsQbLgemU48NmTp4TBXS2ICjmUy4sAj0a8/JPSMLhFmgTZlQeypnzCqgmTBIpvYOw+iDx6uRUbzzNAGcyHhEIHhQofEOzYZ3Y5DnRajqQBIlxYTYuF0ryHiNJuwthLsrZV57Ntm2fxcFZ2OAGGNmp3EMOIxMgHGKQzCCCClmrkxmtBpJZuO81u0ZPjBqL7yyc8gqDsyCH5/fcROXSXDsNA17zTgto9eesA0mZ5Vn6hqm3tEEJez1ND+hyKWfJL97l+54yfTaRRYvXUR258x3DqHaQaTC+1IPWBRPmsf5U/kTwM+IyJ8AJoxn+L4M9MA3t7/lzUTkm2b2qe+983Y7+O8Af8bMXv+eT/8c8A0z+5uPcf3FM8o7xzyM2R9z44sn2HtpFSeeIMp3j7Q/W/qUiDYQe0U9OIyo45bqJiVW3UAbEzEZSYWUBM1jgDAMmeN1YrXuSWnsTRf7xCx4dr3jzrtLRITVZpwZqhU0TUWblMP/f3v3HmPbdRd2/Ptba+3Heczcub7XMXbixMQ0kKRBKY3SqiIUGggVIqSUFgIVbSNVrRSo2opXUlSXiqjiDX+4DwFqlQoERAjUlACR0ja0sqApcRK/cErASeoE4ti5j3mcs/dea/36x9rXjN3re689c2bunPl9rPHM2WfvffZe9+jMb9bj93vRjC90Axf2OlQceWzyNAi1VxZDokuZZc6lAkpWcnZUCkOGvT7R1jWLIeK8Y6NxXO76ssDBebxzbHeJl53fYHu7hwRVW5H6xC3tFI2JRuCWzYaNumJ6zrG4bWBnu6dPkV6E7BxhXjM505CD8ORySXbgKsF3kd0YITtq72l8IDigDQTnWcSSKiUERVKJudrKM/GOJdBlT8pK5cuQLVra9fx8wrLfxQOzyjOgBOfRUM7XJ3jZuTmL2NHlWNKNOGgDuKBs1DW3tjUqyl4uZQFFyxD4tKrYCBPqUOGzo9dU5tR5x6SumNcNsyowqRuCOFJWxGcqKiZXyys3h61bj/Ttaow5JCsL+FT1ncA7AcYevu/dv0p33L7zHMHeFvA+4B2qet+znnsXcAb4Byu5cLP22hCYBkfC4SmZ750yJlXNRBUaKXOTTgpVJeeE5kifFixiRz+WzkrJkyTT98pu6tiOHTtDR8oZxBPEUUnFXh9Z9JndIZIG4XKXiBm8hjLMmR07u5HlIoIKk+DY3e2oxNGz5POXBiRnyI5ljGQHlXiWKdPUwsXtBRcHpesVCUoeFzRkSlYPFPqcyTHhgwcnRM1UtSMlZREzt88bnIy1T72y0QSWUamdG/OmebRyvPzOs0xQUlJczszrwNl5zdZswqx1+OBo67q8Zl+CVxHG1RYl8InAdpe41C25sOiIWoallzmVRR8JKie4FoZeudxl9mLCqZSgCmHWeObTAFm5dHkoq3DL6DFunGcHkVfescVTOwMuCINm+qyESqgb4ey8YqOpuGtjSmiUYQDxyrSq2ZrUnGkbvPM4BzEmYh5QhImvqUOgCqWWrJMbT/5sjFk/N02/u4h8E/A6Vb2HMs/vS4B7ROSecZc3UdK0/CDwKHD/+OF1r6r+/DFcsjmhpr5iFgJJlMplKvHjvCcBMlnLL8jKH+9MgJwzmTKUuRgW5NzhiXgH3acuEy88QZBdfN3jNluG+Zx+0rKbB3b7zCJFuih0CsKEnRhZRtiLPVmVrCV9R0NFRBki9IOgGS4vEikKWQWXSz6zrncs9yIxKS0eHTL9oDhJVLXjqcsdm7Oa5VACjhgVahiGTFVVLBYDvZRaxj4DUnpYHSW4yqpIzmUIVYTgHaLQOF8WLaAsl3DnLRssYqbTWPLRSUAVJsFz22zKS8/OeNHmhDNtxXxS30DVlPbG/j1UyzzE5YKdRWQY06+gJdDqBmVv/B68Mqk9jS+LOrohsXNu4MLOwPbugKZMHRyz2rExqWnrwN1flOmiY5kSoXZMa8/WrGFzWrHRBNqqovIOf43SXMYY81yOJOBT1Q8CH7zK9vm+n98LvHf8+V3Au57jdPYnqjmQOlRsNS0JcKlHJeHyGNyFkqfLy5TgV/OLNedM0lLjNWqkHyLbQ8/lRcdeHIg5ErwQgjJxGXzGyS6V65klRT4Ow59+mjA8zuB73KyByxO6W8+xVwv9ZMJCapYJlhliDOzGgSHBbk6k7MbSpGXlp/Oe3WVEs2NvyAQqYoaUyhyzRhxRha5PLIeEKAySSYOQNbGzgLkIUSGmUvoKfyVdXSldpTmXPGlZn15J6kVIOpbWUri0UM5tzei6SCaPQ5clr925aU1SqFvHLFTccbbB50TVBDbrmjNNxfmNGWen9TVrlR6EE2HeVMybqowxPE9ZS3mzxXIgpkzlPFUINLUvQ8Pj3DnrhTPGrMJN08NnzFHxLjCpJqTYoT6T01gmCnBa4Z0gISP0z/vc3dDRp56sGXGOmJRFTOwMCy7uLbg09HRRcXiceipgkRKXhoGdYVkqGPiycvWW1nN+qoTQ04aITx7/eODSQ3/AZPIkSfcImy34RNzYYGfvAjm2JUFwPWGQhpgAV9Npz6BCTIlMRtSRgEocy2Ggy4kUHZqVRSrXPahAVJL3OFUSiZgUD6gvuQrhSmreK2lKxvqoOhbU0kRwgd3lwOasKb2TO2lcES0456l8yQGnLhOqzLmNGX03sEwl71wInrZy3HF2xovPt5zdaNlsK7amLU04OePuToRpVTG1mqvGmGNgAZ85dUSEIBFPRIcOjctxEplHnCI1iA8lEa+HlBIpDWQZyJoZhg6VDtXIkMeUIAmWsWcnLUrB+yyoCDlVLAf4Qlyw1yX6DCQhZU/tytdiSOzEDgS8UxyZ1itRHTtDYkrPJDjawbH32FMEdqDbxm/U4IXsIAYHsaQciVFIoSJJQPHEnMhaehVTLnPnRCAnR5aSGoSxxy9T8qQBTxecd1KCN5KONVJLcFe7QD9EphMpFRCclJx4rsyD85px2dFOa3a6nlnlcJq4ZV6zG/elEMnCpPFMmsDZecvtWxUTmSECVXBM28C5ecuLz8+pTlCAZ4wxNxML+MypIyheMynuQt8jgwOpwDdk1xDTBJaBbfcE/fIJcupJWUGExkOXdlASSYU+geaW7Qzd0NOrEjMMOHL2xLjkUh/ZjZk01vpMGTRFklTsEBlSJmoq6U1EcQkmlcc7JeYeGGv9poaLf/IEs2kiDxFHg4hC8GguNUOzKHkYyLWCS+g4fDqmwQUSQigLC0SIGWrnQJTKObqUab1ncBmnUhIAa4QkNHUFWYkpISpMWl/yyDmlywO3npuy3O6ZzjzLPqEScEFwmjg7b+n6xB23bbKbEnspsdtlsiiTKnBu1nDXbTPuPDtla1ozb2umTcA5G940xpjDYAGfOXWEgOs72FtCVDIDOUdUB1L2DGGTpQ703qGuZdAeT40XYWfYRSm1WFNSIlOGvGR3WDIkSOqJeFIuA56LlNlLiZiEnCDmTI4l9UvUzCIl+pjwvqwKlgzOK5pLsJYpCzdKQuiMxPEmMnClJmtMqPMQE44Kp2Vo1UtZfewQnJQVoc6Fp4dgvSiZTBsahpRBHJpLsuDGC5JBqzKHrgk1TVvRV4m9xficU85s1HTLSFMFNjYdZ+Y1y+2OSRuIOeOdI1SO+WbDxtkJrg7cOfMEHxDnaGthc1Zzxy0bzBtLymuMMatiAZ85fVJGhg7XA7pEWeCCkvAkV9HpLn3eJblJWc1KpvY1Q94l0iEqRAJZHTlFljkz5IGkQlJPJqFRGGQoueWGRMqCppo0FjJNJAKOFGMZRgXclXlvUAK5XEp86Vj7Vf2S6swGqbtM8KEEeqkshKj7yBJoEAYn4ITKBSJCJjGpJjgywcEyZ1CP5lJnNUnibDujS4mpF3YHZWsW2NtLJXVNdkx9YFZXuLZlmA30PaQ+E1Dmt7TMXGCjFarKETJol/A+EBphY6NhvjFhPg20TU1dOerKPnqMMeYo2aeuOXXUeRgUkQR5D+dKj112QnSBlHdQHC4LUZYgofS1aUnym7UEYYoni5K0lIrPgGopCZZdWXqqZJwqcawrypgOxQERpa4COaZxyHUkWlbFqiPgiFrKk+1JZnL3bVz80GfZPDcl93uEOiLJwfZFJudvZTHsMZlMiXVbymvhWGSYhUArgWVSqnEIGXV4J1R4Zq5mEmr6LAwx0iXBTR2BQCWBeV3ThpppHahdmQso2VF7YWPimbZldWztHVVl8+yMMeZmYwGfOXWcD2StSpFTEuICSkalQRnQnFFx5btTkHpc0JC5UpRKx2Cu1EjdP0cug7oxs26gqYQupTJvD0FUcOqIQC2exgkinpgSTspwqkNRVYbk8fWUQEd2Si+O+Ssqpp97OXH7M9S1J3dLpFKcH2gu79DcfjvdpKEPE6os9Bkm1HhaKleDhpLoWDNOHI2vmFU1k9AQnMdlRZxHnCMATVVRB/uYMMaYk84+yc3p5OaUfrZxTpuU/6kqjL1ziCCSUSJu/O9K4OfElxx2ApUIvQtITjgciCOrljNLRVNBHhIgDCqIlnJhXqDG01SOIQT6lPACQZTgQMThvWfWTKm0J0tkr1I2vupO+o9sov1FqmqBVAPN2Rnu3HnYOo9rtuhVQQOCx1cTKheovC93YYl7jTHm1LGAz5xO7RYspqA7SJYxBUnGSYvLESGWXjoNIGPWOKkQyupVxJXZdh4qX9MOQykFJh5XZuQRszCtHFWYsfSJ3V5p1JMcOBwez1ZomfqSVLiXRMqlp2/W+KfLZs1CIJBxPlM7ofWBM1/9UqqcuPjpi1BXuHNbbG5tHWeLGmOMuYlZwGdOp/l52L0Fum2QWKrqZsE7CK4l5gURxbuGDHQp0siMXpTaQ8LhsifjCMnjXEUVXBm+RchOyOoJ4mnCBpKFRVa6WJIez33LvGqYNQ2TUJWarFlxwVF7z6xtCTfQE3fulVbJ3hhjzPVZwGdOJecc+czLYbtHus8jknBOqVUQ15JDhRLJ0pah3VzSmkzdrSAR1QjOoRLIoWWmU7KEMi0QAeeopab1E+pQ453HO089Dq0aY4wxR8kCPnNquekZsn8l7M5x/QWgwzlBqgonc2onRCn1ZH1oSym0MEE14FHECZ6GOkzwvrK5ccYYY25aFvCZU801m9C8mtzt4PptcNCGCtwElfrphRPGGGPMSWYBnzGAa+bQzI/7MowxxpiVsDEoY4wxxpg1ZwGfMcYYY8yas4DPGGOMMWbNWcBnjDHGGLPmLOAzxhhjjFlzFvAZY4wxxqw5C/iMMcYYY9acBXzGGGOMMWvOAj5jjDHGmDVnAZ8xxhhjzJqzgM8YY4wxZs2Jqh73NayciHwe+NRxX8caOw88edwXccpYmx89a/OjZ21+9KzNj97V2vxlqnrrYb7IqQj4zGqJyO+r6uuO+zpOE2vzo2dtfvSszY+etfnRO6o2tyFdY4wxxpg1ZwGfMcYYY8yas4DPHIafPe4LOIWszY+etfnRszY/etbmR+9I2tzm8BljjDHGrDnr4TPGGGOMWXMW8BljjDHGrDkL+MxzEpFfEZGPjl+fFJGP7nvuy0Xkd0XkYRF5UETaqxz/QyLymX3n+IZxeyUi7x6P+wMReecR3tZNbVVtfqPHn0arbPPx+ZeKyI6IfO8R3M6JsMLPlq8TkQ+Px31YRP7aEd7WTW3Fny3vFJFPiMjHReTrj+iWbnoHbfN9+36PiKiInB8fnxGR/yIiHxuPf9uNXE848B2ZtaWq33blZxH5SeDS+HMAfgH4TlX9mIicA4bnOM1Pq+pPPGvb3wYaVX2NiEyBR0Tkl1T1k4d+EyfMqtr8eR5/qqzwfX7FTwG/dYiXfOKtsM2fBN6sqp8VkT8PvB948aHfwAm0ws+WVwFvBV4N3AF8QEReoappBbdxohxGm4vIncCbgE/v2/xdwCOq+mYRuRX4uIj8oqr217oeC/jMdYmIAN8KXPlr+U3AA6r6MQBVfep5nlKB2fimnwA9cPmQLnctrKDND3r82ltBmyMifwN4DNg9pMtcK4fd5qr6kX0PHwYmItKoancY17sOVvA+fwvwy2MbPyYinwBeD/zuIV3yiXfANv9p4PuB/7xvmwIb43nnwBeAeL3rsCFdcyPeAHxOVf9wfPwKQEXk/SJyv4h8/zWO/W4ReUBE/oOInB23/SrlF+CfUP5q+QlV/cLKrv5kOuw2fz7Hn1aH2uYiMgd+APhXq73sE+2w3+f7fQtwvwV7/5/DbvMXA/933z6PY72qz/aC2lxE3gJ85kpguM+9wCuBzwIPAv9EVfP1LsICvlNORD4gIg9d5est+3b7duCX9j0OwFcCf2f8/s0i8sarnP7fAXcDr6UEdz85bn89kCjd/18MfI+IvPww7+tmdkxtfqPHr6VjavMfogyB7Rzu3ZwMx9TmV1771cCPAv/o0G7oBDjONj+tVtXmUqY7/XPgnqu87NcDH6X8Dn0tcK+IbF7vWm1I95RT1a+91vPjsOvfBP7ivs2PA/9DVZ8c9/lN4CuA//qsc39u33l+DviN8eF3AL+tqgPwhIjcB7wO+OOD3c3JcExtfkPHr6tjavO/BPwtEfkxYAvIIrJU1XsPdjcnwzG1OSLyEuDXgb+rqn90wNs4UY6pzT8D3Llv15eM206FFbb53ZQOkY+VkVteAtwvIq8H3gb8iJZEyp8QkceALwM+dK1rsR4+cz1fCzyqqo/v2/Z+4DUiMh3fzH8VeOTZB4rI7fsefjPw0PjzpxnnMojIDPjLwKMruPaTahVtfkPHn2KH3uaq+gZVvUtV7wJ+BvjXpyXYu0GH3uYisgW8D3iHqt63qgs/wVbx2fJe4K0i0ojIFwN/jusEHqfMC2pzVX1QVV+07zPkceArVPVPKb9D3wggIrcBX8oNdJhYwGeu5608sysaVb1AWXn4vyndyver6vsAROTnReR1464/JmW5+QPA1wD/bNz+b4C5iDw8nuM/quoDK7+Tk+PQ2/xaxxtgNe9zc22raPPvBr4EuEf+LB3Gi1Z/KyfGKj5bHgbeQwlYfhv4Lluh+wwHafPn8sPAXxGRBym9gj9wpbfwWqy0mjHGGGPMmrMePmOMMcaYNWcBnzHGGGPMmrOAzxhjjDFmzVnAZ4wxxhiz5izgM8YYY4xZcxbwGWPWloistMqFiPymiGyNX29/Acd/tYj8xvX3NMaYg7GAzxhjXiBV/QZVvUippPG8Az5jjDkqFvAZY04VEXmtiPyelCLwvy5jEXgR+aCI/KiIfEhE/o+IvGHcPhWR94jII+P+/+tKYlQR+aSInAd+BLh7TPT748/uuRORe0Xk748//3UReVRE7qeUXLqyz0xKUfoPichHnlWL0xhjDsQCPmPMafOfKJnpvxx4EPiX+54Lqvp64J/u2/524IKqvgr4FzyzJuYV7wD+SFVfq6rf91wvLCIt8HPAm8fzfNG+p38Q+G/j638N8ONj6UFjjDkwC/iMMaeGiJwBtlT1d8ZN7wa+at8uvzZ+/zBw1/jzVwK/DKCqDwEHKQP4ZcBjqvqHY+HzX9j33JuAd4jIR4EPAi3w0gO8ljHGPC0c9wUYY8xNpBu/Jw72+Rh55h/U7Q0cI8C3qOrHD/C6xhhzVdbDZ4w5NVT1EnDhyvw84DuB37nGIQD3Ad8KICKvAl5zlX22gY19jz8FvEpEGhHZAt44bn8UuEtE7h4ff/u+Y94P/GMRkfG1/sIN3ZQxxtwA6+EzxqyzqYg8vu/xTwF/D/j3IjIF/hh423XO8W+Bd4vII5SA7WHg0v4dVPUpEblPRB4CfktVv09E3gM8BDwGfGTcbyki/xB4n4jsAf+TPwsUfxj4GeABEXHjcd/4Au/bGGOeQco0EmOMMVcjIh6oxmDtbuADwJeqan/Ml2aMMTfMeviMMebapsB/F5GKMs/u7RbsGWNOGuvhM8YYY4xZc7ZowxhjjDFmzVnAZ4wxxhiz5izgM8YYY4xZcxbwGWOMMcasOQv4jDHGGGPW3P8DyonG44nkl98AAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['Speed'])\n", "plt.title('Speed in each geometry coordinates (km/h)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 22, "id": "divided-bleeding", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:55.541334Z", "iopub.status.busy": "2021-08-07T19:26:55.540514Z", "iopub.status.idle": "2021-08-07T19:26:55.997622Z", "shell.execute_reply": "2021-08-07T19:26:55.997010Z", "shell.execute_reply.started": "2021-08-07T19:24:52.337546Z" }, "papermill": { "duration": 0.523051, "end_time": "2021-08-07T19:26:55.997789", "exception": false, "start_time": "2021-08-07T19:26:55.474738", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['RSRP'])\n", "plt.title('RSRP in each geometry coordinates (dBm)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 23, "id": "important-liberal", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:56.153391Z", "iopub.status.busy": "2021-08-07T19:26:56.150433Z", "iopub.status.idle": "2021-08-07T19:26:56.608252Z", "shell.execute_reply": "2021-08-07T19:26:56.607518Z", "shell.execute_reply.started": "2021-08-07T19:24:52.821554Z" }, "papermill": { "duration": 0.537493, "end_time": "2021-08-07T19:26:56.608399", "exception": false, "start_time": "2021-08-07T19:26:56.070906", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['RSRQ'])\n", "plt.title('RSRQ in each geometry coordinates (dBm)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 24, "id": "measured-bargain", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:56.744063Z", "iopub.status.busy": "2021-08-07T19:26:56.743320Z", "iopub.status.idle": "2021-08-07T19:26:57.206603Z", "shell.execute_reply": "2021-08-07T19:26:57.207147Z", "shell.execute_reply.started": "2021-08-07T19:24:53.307194Z" }, "papermill": { "duration": 0.535044, "end_time": "2021-08-07T19:26:57.207323", "exception": false, "start_time": "2021-08-07T19:26:56.672279", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['SNR'])\n", "plt.title('SNR in each geometry coordinates (dBm)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "id": "graduate-provincial", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:57.346115Z", "iopub.status.busy": "2021-08-07T19:26:57.343975Z", "iopub.status.idle": "2021-08-07T19:26:57.803810Z", "shell.execute_reply": "2021-08-07T19:26:57.803169Z", "shell.execute_reply.started": "2021-08-07T19:24:53.788751Z" }, "papermill": { "duration": 0.530904, "end_time": "2021-08-07T19:26:57.803985", "exception": false, "start_time": "2021-08-07T19:26:57.273081", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 720x504 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = sn.scatterplot(x=pre_df['Longitude'], y=pre_df['Latitude'], s=100,alpha=0.1, palette=\"Spectral\", hue=pre_df['LTE RSSI'])\n", "plt.title('RSSI in each geometry coordinates (dBm)')\n", "# Remove the legend and add a colorbar\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "behind-moses", "metadata": { "papermill": { "duration": 0.066875, "end_time": "2021-08-07T19:26:57.940911", "exception": false, "start_time": "2021-08-07T19:26:57.874036", "status": "completed" }, "tags": [] }, "source": [ "RANDOM FOREST" ] }, { "cell_type": "code", "execution_count": 26, "id": "retained-conversion", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:58.085397Z", "iopub.status.busy": "2021-08-07T19:26:58.084690Z", "iopub.status.idle": "2021-08-07T19:26:58.088255Z", "shell.execute_reply": "2021-08-07T19:26:58.087689Z", "shell.execute_reply.started": "2021-08-07T19:24:54.276926Z" }, "papermill": { "duration": 0.078286, "end_time": "2021-08-07T19:26:58.088403", "exception": false, "start_time": "2021-08-07T19:26:58.010117", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Labels are the values we want to predict\n", "labels = np.array(pre_df['DL-bitrate'])\n", "# Remove the labels from the features\n", "# axis 1 refers to the columns\n", "features= pre_df.drop('DL-bitrate', axis = 1)\n", "# Saving feature names for later use\n", "feature_list = list(features.columns)\n", "# Convert to numpy array\n", "features = np.array(features)" ] }, { "cell_type": "code", "execution_count": 27, "id": "mental-numbers", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:58.230676Z", "iopub.status.busy": "2021-08-07T19:26:58.229917Z", "iopub.status.idle": "2021-08-07T19:26:58.233630Z", "shell.execute_reply": "2021-08-07T19:26:58.233143Z", "shell.execute_reply.started": "2021-08-07T19:24:54.285064Z" }, "papermill": { "duration": 0.076875, "end_time": "2021-08-07T19:26:58.233788", "exception": false, "start_time": "2021-08-07T19:26:58.156913", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Using Skicit-learn to split data into training and testing sets\n", "from sklearn.model_selection import train_test_split\n", "# Split the data into training and testing sets\n", "train_features, test_features, train_labels, test_labels = train_test_split(features, labels, test_size = 0.25, random_state = 42)" ] }, { "cell_type": "code", "execution_count": 28, "id": "behind-render", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:58.375219Z", "iopub.status.busy": "2021-08-07T19:26:58.374206Z", "iopub.status.idle": "2021-08-07T19:26:58.378437Z", "shell.execute_reply": "2021-08-07T19:26:58.379022Z", "shell.execute_reply.started": "2021-08-07T19:24:54.302540Z" }, "papermill": { "duration": 0.077725, "end_time": "2021-08-07T19:26:58.379199", "exception": false, "start_time": "2021-08-07T19:26:58.301474", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training Features Shape: (3288, 11)\n", "Training Labels Shape: (3288,)\n", "Testing Features Shape: (1097, 11)\n", "Testing Labels Shape: (1097,)\n" ] } ], "source": [ "print('Training Features Shape:', train_features.shape)\n", "print('Training Labels Shape:', train_labels.shape)\n", "print('Testing Features Shape:', test_features.shape)\n", "print('Testing Labels Shape:', test_labels.shape)" ] }, { "cell_type": "code", "execution_count": 29, "id": "north-chocolate", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:26:58.521350Z", "iopub.status.busy": "2021-08-07T19:26:58.520688Z", "iopub.status.idle": "2021-08-07T19:27:31.326860Z", "shell.execute_reply": "2021-08-07T19:27:31.326160Z", "shell.execute_reply.started": "2021-08-07T19:24:54.317007Z" }, "papermill": { "duration": 32.879242, "end_time": "2021-08-07T19:27:31.327002", "exception": false, "start_time": "2021-08-07T19:26:58.447760", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Import the model we are using\n", "from sklearn.ensemble import RandomForestRegressor\n", "# Instantiate model with 1000 decision trees\n", "rf = RandomForestRegressor(n_estimators = 2000, random_state = 42)\n", "# Train the model on training data\n", "rf.fit(train_features, train_labels);" ] }, { "cell_type": "code", "execution_count": 30, "id": "unknown-administration", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:27:31.469610Z", "iopub.status.busy": "2021-08-07T19:27:31.468588Z", "iopub.status.idle": "2021-08-07T19:27:32.098576Z", "shell.execute_reply": "2021-08-07T19:27:32.098029Z", "shell.execute_reply.started": "2021-08-07T19:25:26.986754Z" }, "papermill": { "duration": 0.702898, "end_time": "2021-08-07T19:27:32.098733", "exception": false, "start_time": "2021-08-07T19:27:31.395835", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean Absolute Error: 14202.56 kbps.\n" ] } ], "source": [ "# Use the forest's predict method on the test data\n", "predictions = rf.predict(test_features)\n", "# Calculate the absolute errors\n", "errors = abs(predictions - test_labels)\n", "# Print out the mean absolute error (mae)\n", "print('Mean Absolute Error:', round(np.mean(errors), 2), 'kbps.')" ] }, { "cell_type": "code", "execution_count": 31, "id": "affecting-night", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:27:32.240386Z", "iopub.status.busy": "2021-08-07T19:27:32.239615Z", "iopub.status.idle": "2021-08-07T19:27:32.243201Z", "shell.execute_reply": "2021-08-07T19:27:32.242331Z", "shell.execute_reply.started": "2021-08-07T19:25:27.625998Z" }, "papermill": { "duration": 0.076515, "end_time": "2021-08-07T19:27:32.243382", "exception": false, "start_time": "2021-08-07T19:27:32.166867", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: -inf %.\n" ] } ], "source": [ "# Calculate mean absolute percentage error (MAPE)\n", "mape = 100 * (errors / test_labels)\n", "# Calculate and display accuracy\n", "accuracy = 100 - np.mean(mape)\n", "print('Accuracy:', round(accuracy, 2), '%.')" ] }, { "cell_type": "code", "execution_count": 32, "id": "floppy-robert", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:27:32.398990Z", "iopub.status.busy": "2021-08-07T19:27:32.397102Z", "iopub.status.idle": "2021-08-07T19:28:00.353807Z", "shell.execute_reply": "2021-08-07T19:28:00.353187Z", "shell.execute_reply.started": "2021-08-07T19:25:27.637800Z" }, "papermill": { "duration": 28.041023, "end_time": "2021-08-07T19:28:00.353971", "exception": false, "start_time": "2021-08-07T19:27:32.312948", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Pull out one tree from the forest\n", "tree = rf.estimators_[5]\n", "# Export the image to a dot file\n", "export_graphviz(tree, out_file = 'tree.dot', feature_names = feature_list, rounded = True, precision = 1)\n", "# Use dot file to create a graph\n", "(graph, ) = pydot.graph_from_dot_file('tree.dot')\n", "# Write graph to a png file\n", "graph.write_png('tree.png')" ] }, { "cell_type": "code", "execution_count": 33, "id": "finnish-figure", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:00.506991Z", "iopub.status.busy": "2021-08-07T19:28:00.505931Z", "iopub.status.idle": "2021-08-07T19:28:00.813160Z", "shell.execute_reply": "2021-08-07T19:28:00.812462Z", "shell.execute_reply.started": "2021-08-07T19:25:55.316712Z" }, "papermill": { "duration": 0.390406, "end_time": "2021-08-07T19:28:00.813342", "exception": false, "start_time": "2021-08-07T19:28:00.422936", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Limit depth of tree to 3 levels\n", "rf_small = RandomForestRegressor(n_estimators=10, max_depth = 3)\n", "rf_small.fit(train_features, train_labels)\n", "# Extract the small tree\n", "tree_small = rf_small.estimators_[5]\n", "# Save the tree as a png image\n", "export_graphviz(tree_small, out_file = 'small_tree.dot', feature_names = feature_list, rounded = True, precision = 1)\n", "(graph, ) = pydot.graph_from_dot_file('small_tree.dot')\n", "graph.write_png('small_tree.png');" ] }, { "cell_type": "code", "execution_count": 34, "id": "posted-store", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:00.960718Z", "iopub.status.busy": "2021-08-07T19:28:00.959981Z", "iopub.status.idle": "2021-08-07T19:28:01.244312Z", "shell.execute_reply": "2021-08-07T19:28:01.244868Z", "shell.execute_reply.started": "2021-08-07T19:25:55.663652Z" }, "papermill": { "duration": 0.362057, "end_time": "2021-08-07T19:28:01.245053", "exception": false, "start_time": "2021-08-07T19:28:00.882996", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Variable: LTE RSSI Importance: 0.21\n", "Variable: Latitude Importance: 0.13\n", "Variable: SNR Importance: 0.13\n", "Variable: Longitude Importance: 0.11\n", "Variable: RSRP Importance: 0.1\n", "Variable: RSRQ Importance: 0.1\n", "Variable: Speed Importance: 0.08\n", "Variable: Altitude Importance: 0.04\n", "Variable: Height Importance: 0.04\n", "Variable: Accuracy Importance: 0.03\n", "Variable: PSC Importance: 0.02\n" ] } ], "source": [ "# Get numerical feature importances\n", "importances = list(rf.feature_importances_)\n", "# List of tuples with variable and importance\n", "feature_importances = [(feature, round(importance, 2)) for feature, importance in zip(feature_list, importances)]\n", "# Sort the feature importances by most important first\n", "feature_importances = sorted(feature_importances, key = lambda x: x[1], reverse = True)\n", "# Print out the feature and importances \n", "[print('Variable: {:20} Importance: {}'.format(*pair)) for pair in feature_importances];" ] }, { "cell_type": "code", "execution_count": 35, "id": "married-correspondence", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:01.420422Z", "iopub.status.busy": "2021-08-07T19:28:01.418294Z", "iopub.status.idle": "2021-08-07T19:28:01.587026Z", "shell.execute_reply": "2021-08-07T19:28:01.586344Z", "shell.execute_reply.started": "2021-08-07T19:25:55.979845Z" }, "papermill": { "duration": 0.273855, "end_time": "2021-08-07T19:28:01.587165", "exception": false, "start_time": "2021-08-07T19:28:01.313310", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Import matplotlib for plotting and use magic command for Jupyter Notebooks\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "# Set the style\n", "plt.style.use('fivethirtyeight')\n", "# list of x locations for plotting\n", "x_values = list(range(len(importances)))\n", "# Make a bar chart\n", "plt.bar(x_values, importances, orientation = 'vertical')\n", "# Tick labels for x axis\n", "plt.xticks(x_values, feature_list, rotation='vertical')\n", "# Axis labels and title\n", "plt.ylabel('Importance'); plt.xlabel('Variable'); plt.title('Variable Importances');" ] }, { "cell_type": "code", "execution_count": 36, "id": "loaded-murray", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:01.734259Z", "iopub.status.busy": "2021-08-07T19:28:01.733260Z", "iopub.status.idle": "2021-08-07T19:28:02.288741Z", "shell.execute_reply": "2021-08-07T19:28:02.288103Z", "shell.execute_reply.started": "2021-08-07T19:25:56.218004Z" }, "papermill": { "duration": 0.631916, "end_time": "2021-08-07T19:28:02.288892", "exception": false, "start_time": "2021-08-07T19:28:01.656976", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='DL-bitrate', ylabel='LTE RSSI'>" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sn.regplot(x = \"DL-bitrate\", y=\"LTE RSSI\", data=pre_df, fit_reg = True, scatter_kws={\"alpha\": 0.5})" ] }, { "cell_type": "code", "execution_count": 37, "id": "inclusive-little", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:02.440974Z", "iopub.status.busy": "2021-08-07T19:28:02.440242Z", "iopub.status.idle": "2021-08-07T19:28:02.976556Z", "shell.execute_reply": "2021-08-07T19:28:02.977036Z", "shell.execute_reply.started": "2021-08-07T19:25:56.808507Z" }, "papermill": { "duration": 0.615729, "end_time": "2021-08-07T19:28:02.977214", "exception": false, "start_time": "2021-08-07T19:28:02.361485", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='DL-bitrate', ylabel='SNR'>" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sn.regplot(x = \"DL-bitrate\", y=\"SNR\", data=pre_df, fit_reg = True, scatter_kws={\"alpha\": 0.5})" ] }, { "cell_type": "code", "execution_count": 38, "id": "derived-publication", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:03.147025Z", "iopub.status.busy": "2021-08-07T19:28:03.145870Z", "iopub.status.idle": "2021-08-07T19:28:04.176953Z", "shell.execute_reply": "2021-08-07T19:28:04.176379Z", "shell.execute_reply.started": "2021-08-07T19:25:57.396945Z" }, "papermill": { "duration": 1.116807, "end_time": "2021-08-07T19:28:04.177114", "exception": false, "start_time": "2021-08-07T19:28:03.060307", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 360x360 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sn.relplot(x =\"LTE RSSI\", y=\"DL-bitrate\", kind=\"line\", data=pre_df)\n", "g.fig.autofmt_xdate()" ] }, { "cell_type": "code", "execution_count": 39, "id": "chinese-sleeping", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:04.345373Z", "iopub.status.busy": "2021-08-07T19:28:04.344684Z", "iopub.status.idle": "2021-08-07T19:28:09.379247Z", "shell.execute_reply": "2021-08-07T19:28:09.378306Z", "shell.execute_reply.started": "2021-08-07T19:25:58.412263Z" }, "papermill": { "duration": 5.124516, "end_time": "2021-08-07T19:28:09.379398", "exception": false, "start_time": "2021-08-07T19:28:04.254882", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 360x360 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sn.relplot(x =\"SNR\", y=\"DL-bitrate\", kind=\"line\", data=pre_df)\n", "g.fig.autofmt_xdate()" ] }, { "cell_type": "code", "execution_count": 40, "id": "bright-building", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:09.541506Z", "iopub.status.busy": "2021-08-07T19:28:09.540869Z", "iopub.status.idle": "2021-08-07T19:28:09.547834Z", "shell.execute_reply": "2021-08-07T19:28:09.546931Z", "shell.execute_reply.started": "2021-08-07T19:26:03.379152Z" }, "papermill": { "duration": 0.090616, "end_time": "2021-08-07T19:28:09.548029", "exception": false, "start_time": "2021-08-07T19:28:09.457413", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean Absolute Error: 14202.558701275644 dBm\n", "Mean Squared Error: 460084788.030349 dBm\n", "Root Mean Squared Error: 21449.587129601096 dBm\n" ] } ], "source": [ "# Evaluating the Algorithm\n", "from sklearn import metrics\n", "print('Mean Absolute Error:', metrics.mean_absolute_error(test_labels, predictions),'dBm')\n", "print('Mean Squared Error:', metrics.mean_squared_error(test_labels, predictions), 'dBm')\n", "print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(test_labels, predictions)),'dBm')" ] }, { "cell_type": "code", "execution_count": 41, "id": "standing-sally", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:09.712602Z", "iopub.status.busy": "2021-08-07T19:28:09.711920Z", "iopub.status.idle": "2021-08-07T19:28:09.714792Z", "shell.execute_reply": "2021-08-07T19:28:09.715269Z", "shell.execute_reply.started": "2021-08-07T19:26:03.391708Z" }, "papermill": { "duration": 0.088614, "end_time": "2021-08-07T19:28:09.715436", "exception": false, "start_time": "2021-08-07T19:28:09.626822", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "R2 score for random forest model is 0.38989166560930544\n" ] } ], "source": [ "from sklearn.metrics import r2_score\n", "r2 = r2_score(test_labels, predictions)\n", "print('R2 score for random forest model is', r2)" ] }, { "cell_type": "code", "execution_count": 42, "id": "external-speaker", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:09.881028Z", "iopub.status.busy": "2021-08-07T19:28:09.879971Z", "iopub.status.idle": "2021-08-07T19:28:09.886456Z", "shell.execute_reply": "2021-08-07T19:28:09.885929Z", "shell.execute_reply.started": "2021-08-07T19:26:03.401850Z" }, "papermill": { "duration": 0.090633, "end_time": "2021-08-07T19:28:09.886594", "exception": false, "start_time": "2021-08-07T19:28:09.795961", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "actuals [ 86 0 13927 ... 48626 128 14674]\n" ] } ], "source": [ "print('actuals', test_labels)" ] }, { "cell_type": "code", "execution_count": 43, "id": "intensive-basement", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:10.052410Z", "iopub.status.busy": "2021-08-07T19:28:10.051617Z", "iopub.status.idle": "2021-08-07T19:28:10.056296Z", "shell.execute_reply": "2021-08-07T19:28:10.055397Z", "shell.execute_reply.started": "2021-08-07T19:26:03.415449Z" }, "papermill": { "duration": 0.09038, "end_time": "2021-08-07T19:28:10.056502", "exception": false, "start_time": "2021-08-07T19:28:09.966122", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "actuals [ 1439.74105119 30176.38630714 871.48602006 ... 65326.61512778\n", " 63715.18966667 22350.86566146]\n" ] } ], "source": [ "print('actuals', predictions)" ] }, { "cell_type": "code", "execution_count": 44, "id": "sharp-encoding", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:10.222183Z", "iopub.status.busy": "2021-08-07T19:28:10.221455Z", "iopub.status.idle": "2021-08-07T19:28:10.224479Z", "shell.execute_reply": "2021-08-07T19:28:10.224949Z", "shell.execute_reply.started": "2021-08-07T19:26:03.425608Z" }, "papermill": { "duration": 0.087784, "end_time": "2021-08-07T19:28:10.225134", "exception": false, "start_time": "2021-08-07T19:28:10.137350", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Relative error\n", "def mean_relative_error(test_labels, predictions):\n", " relative_error = np.average(np.abs(test_labels - predictions) / test_labels, axis=0)\n", " print('RE', relative_error)" ] }, { "cell_type": "code", "execution_count": 45, "id": "numeric-champagne", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:10.386232Z", "iopub.status.busy": "2021-08-07T19:28:10.385543Z", "iopub.status.idle": "2021-08-07T19:28:10.399916Z", "shell.execute_reply": "2021-08-07T19:28:10.399263Z", "shell.execute_reply.started": "2021-08-07T19:26:03.436177Z" }, "papermill": { "duration": 0.095939, "end_time": "2021-08-07T19:28:10.400074", "exception": false, "start_time": "2021-08-07T19:28:10.304135", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Actual</th>\n", " <th>Predicted</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>86</td>\n", " <td>1439.741051</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>0</td>\n", " <td>30176.386307</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>13927</td>\n", " <td>871.486020</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>110</td>\n", " <td>113.123000</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>57388</td>\n", " <td>54819.209571</td>\n", " </tr>\n", " <tr>\n", " <th>...</th>\n", " <td>...</td>\n", " <td>...</td>\n", " </tr>\n", " <tr>\n", " <th>1092</th>\n", " <td>37219</td>\n", " <td>42677.975232</td>\n", " </tr>\n", " <tr>\n", " <th>1093</th>\n", " <td>43827</td>\n", " <td>23143.352499</td>\n", " </tr>\n", " <tr>\n", " <th>1094</th>\n", " <td>48626</td>\n", " <td>65326.615128</td>\n", " </tr>\n", " <tr>\n", " <th>1095</th>\n", " <td>128</td>\n", " <td>63715.189667</td>\n", " </tr>\n", " <tr>\n", " <th>1096</th>\n", " <td>14674</td>\n", " <td>22350.865661</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>1097 rows × 2 columns</p>\n", "</div>" ], "text/plain": [ " Actual Predicted\n", "0 86 1439.741051\n", "1 0 30176.386307\n", "2 13927 871.486020\n", "3 110 113.123000\n", "4 57388 54819.209571\n", "... ... ...\n", "1092 37219 42677.975232\n", "1093 43827 23143.352499\n", "1094 48626 65326.615128\n", "1095 128 63715.189667\n", "1096 14674 22350.865661\n", "\n", "[1097 rows x 2 columns]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df=pd.DataFrame({'Actual':test_labels, 'Predicted':predictions})\n", "df" ] }, { "cell_type": "code", "execution_count": 46, "id": "fixed-wright", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:10.569688Z", "iopub.status.busy": "2021-08-07T19:28:10.568993Z", "iopub.status.idle": "2021-08-07T19:28:10.835589Z", "shell.execute_reply": "2021-08-07T19:28:10.836130Z", "shell.execute_reply.started": "2021-08-07T19:26:03.459753Z" }, "papermill": { "duration": 0.356201, "end_time": "2021-08-07T19:28:10.836307", "exception": false, "start_time": "2021-08-07T19:28:10.480106", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "<Figure size 1440x720 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df1 = df.head(40)\n", "df1.plot(kind='line',figsize=(20,10))\n", "plt.grid(which='major', linestyle='--', linewidth='0.5', color='green')\n", "plt.grid(which='minor', linestyle='--', linewidth='0.5', color='black')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 47, "id": "bright-simon", "metadata": { "execution": { "iopub.execute_input": "2021-08-07T19:28:11.042912Z", "iopub.status.busy": "2021-08-07T19:28:11.039282Z", "iopub.status.idle": "2021-08-07T19:28:11.233257Z", "shell.execute_reply": "2021-08-07T19:28:11.232665Z", "shell.execute_reply.started": "2021-08-07T19:26:03.736642Z" }, "papermill": { "duration": 0.311136, "end_time": "2021-08-07T19:28:11.233409", "exception": false, "start_time": "2021-08-07T19:28:10.922273", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjMAAAIHCAYAAABqud15AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAACRI0lEQVR4nO3dd3hT1RsH8O+9SbqBQmkLBcosZQiy9wbZW9mCgsj2pyIK7gEIKKAiiCAukKmg7Cl7FlC2sillFCht6W7W/f1Rm/YmLSRp0qzv53n6wLkr5yZp8vac95wjJCYmSiAiIiJyUaKjK0BERERUEAxmiIiIyKUxmCEiIiKXxmCGiIiIXBqDGSIiInJpDGaIiIjIpTGYIfIQY8eORWBgIKKjox1dlQKrVasWatWq5ehqPJaz1XH58uUIDAzE8uXLHV0VIptjMENkZOHChQgMDERgYCBOnDhhk2vWqlULgYGBNrmWO8t+nvL7mTJlSr7nzpgx47Ff1tnB3IEDB+xVfatMnToVgYGBeOedd5547Pvvv4/AwEBMnTq1EGpG5DqUjq4AkbP5+eefIQgCJEnCTz/9hAYNGji6Sh5nzJgxKFasmMn2hg0bAgA2bNhQ2FWym2HDhuGLL77A6tWr8dFHH8HLyyvP49RqNVauXAlBEDBs2LBCriWRc2MwQ5TL4cOH8e+//6Jfv344cuQIfv/9d3z66acoWrSoo6vmUcaOHYvy5cvnu79ixYqFWBv7Kl++PNq2bYs///wTmzZtQt++ffM8bsuWLYiLi0O7du0e+9wQeSJ2MxHl8tNPPwEAnn/+eQwaNAipqan49ddf8z0+MTER06ZNQ7NmzRAWFoZy5cqhadOmeO+995CYmIjo6GgEBgYiJiYGAGRdJt26dTNcx7icW3b3iXH3yKZNmzBq1CjUr18fYWFhCAsLQ6tWrfDNN99Ap9MV6Hlo1KgRSpYsifv37+e5f/HixQgMDMSMGTMM286dO4eRI0eidu3aCA0NRaVKldCsWTO88cYbePToUYHqY8w4H6Vbt26YNWsWAGD8+PGy5zk6Ohq1atXCypUrAQA9evSQ7c8tIyMDX3/9NVq3bo0yZcogLCwMbdq0wQ8//ABJMl35RZIkLF68GE2aNEFoaCiqV6+ON9980+L7ffHFFwFktQrmJ3vfCy+8AAA4deoUJk+ejObNm6NChQoIDQ1FvXr18PbbbyMhIcHsx7bmvQcA165dwyuvvIKnnnoKISEhqFy5MoYMGYJTp06ZHJucnIzPP/8czZo1Q3h4OMqUKYPatWvj+eefd7puP3JNbJkh+k9CQgI2bNiAcuXKoVWrVihfvjxmz56Nn3/+GS+99JLJ8Tdu3ECPHj0QExOD2rVrG76Qrl69iiVLlqB///4IDw/H5MmTsXDhQiQlJWHy5MmG88PDwwtU348//hiiKBqCmaSkJOzfvx/vvPMO/vrrLyxZssTqaw8aNAgff/wx1qxZgwkTJpjsz+7uGDRoEICsQKZDhw4QBAGdOnVCxYoVkZKSgps3b2LFihUYP358nt1GtjJ48GAAwKFDh9C1a1dZoFOsWDGMHTsWK1aswLlz5zBo0KA8n/vk5GT07t0bJ0+eRO3atQ3X/PPPPzFx4kQcP34cCxculJ0zZcoULFq0CKGhoRg2bBi8vb2xZcsWnDhxAhqNBiqVyqz6d+nSBaVKlcL+/ftx48YNVKhQQbb/xo0b2Lt3L0JCQtC1a1cAWcHNpk2b0Lx5c7Rp0wZ6vR6nTp3CwoULsWvXLuzevRtFihQx+zm0xL59+zBkyBBkZGSgU6dOqFy5Mu7evYuNGzdi165dWLFiBdq3bw8gK+B77rnncOzYMdSvXx9DhgyBl5cX7t69i8OHD2Pfvn1o2bKlXepJnoPBDNF/Vq5ciYyMDAwaNAiCIKBChQpo1qwZDh06hL/++gv16tWTHT9q1CjExMTgnXfewVtvvSXbl5iYCKVSiYCAALz99ttYsWIFkpKS8Pbbb9usvmvWrDHpbtHr9Rg3bhxWrVqF0aNHG3JMLDVw4EBMmzYNK1euNAlm/v33X/z999+GFgEg57n75Zdf0L17d9nxycnJ+eaB5GfhwoUmwY+Pjw9ef/31PI8fMmQIbt68iUOHDqFbt24YMmSIbP+4ceNw9uxZnDt3DoMHD87zy/Odd97ByZMn8dFHH+G1114zbM/MzMTQoUOxcuVK9OzZE126dAEAHDt2DIsWLUJ4eDj27NmDoKAgAFlJur169UJsbCzKlStn1v0qlUo8//zzmD17NpYuXYoPPvhAtn/ZsmWQJAlDhgwxBEivv/46Zs+eDYVCITt26dKl+N///oclS5bk+3wVxKNHjzB8+HCoVCrs2rUL1apVM+y7ePEi2rdvj/Hjx+P06dPw9vbGhQsXcOzYMXTt2hUrVqyQXUuSJItakYjyw24mov9kJ/5m/0UOwPClmN39lO3UqVOIiopCjRo1MGnSJJNrBQYGIiAgwK71zStvRBRFjBkzBgCwe/duq69dunRptG3bFufPn8fp06dl+7K/kHI/T9l8fX1NthUpUgTe3t4WPf63336LWbNmyX6++OILi65hiYSEBKxcuRK1a9eWBTIA4O3tbQguVq9ebdiePWrqjTfeMAQy2ce///77Ftdh2LBhEEURK1asgFarNWzXarVYvnw5BEEwdDEBWS17xoEMAAwdOhRFixYt0Ov/OKtWrUJ8fDwmT54sC2QAIDIyEsOGDUNsbCz27dsn25fXe0MQBJQoUcIu9STP4hEtM4cOHcLXX3+N06dP4+7du1iwYIHJX262dODAAfTo0cNke1RUFKpWrWq3xyXrHT58GBcvXpS1NgBAr1698NZbb2HdunWYPn26odn++PHjAIB27dpBFB3zN0F8fDzmzZuHHTt2IDo6GqmpqbL9d+/eLdD1Bw8ejF27dmHlypV4+umnAQA6nQ5r1qyBv78/evXqZTi2b9+++PbbbzFkyBD07NkTrVq1QqNGjax+v58+fbpQk1xPnjwJrVYLURRleUDZsoOLS5cuyeoIAM2bNzc5vkmTJlAqLft4DQ8PR7t27bBr1y5s377dkMeyfft2xMbGok2bNrL3pkajwY8//oh169bh33//RVJSEvR6vWF/QV///Bw7dgwAcP78+TyfqytXrgDIaqXp2LEjqlWrhlq1amHt2rW4efMmunbtisaNG6NevXrw8fGxSx3J83hEMJOamooaNWpg0KBBhr9aC8PRo0dRvHhxQ7lkyZKF9thkmeyWF+PWBn9/f/Tu3Ru//PILfvvtNwwfPhwADAmepUuXLtR6ZktMTETbtm0RHR2N+vXrY+DAgShevDgUCgUePXqEb7/9FpmZmQV6jG7duiEwMBC//fYbpk6dCpVKhT179iA2NhaDBg2StTzVr18f27Ztw5w5c7Bp0yasWbMGQNYX9GuvvYYRI0YUqC72Fh8fDyCrxS2vBNZsKSkphv8nJSUBAIKDg02OUygUVrU4vPjii9i1axeWLl1qCGaWLl1q2Jfb8OHDsWnTJlSoUAFdu3ZFaGiooTtv4cKFBX7985P9XC1btuyxx2UH1wqFAhs3bsTnn3+ODRs24OOPPwYA+Pn5oU+fPvjkk09kLVtE1vCIYKZjx47o2LEjgKy+c2NqtRrTp0/Hr7/+ioSEBFSrVg3vvfeeIYHNWsHBwfwldQEJCQlYv349gKyRMOPHj8/zuJ9++skQzGTnc9jqr19BEPIdgZTXyJhly5YhOjoakydPNsnDiYqKwrffflvgOnl7e+PZZ5/F999/jx07dqBbt26P7WJq2LAhVq1aBbVajTNnzmDPnj347rvvMHHiRPj6+hqShZ1R9tD7UaNG4bPPPrPonAcPHpjk9+h0OsTHx1sc7Hbu3BmlS5fGrl27cPv2bQDArl27EBwcLBtx9Pfff2PTpk1o06YNfvvtN1krkF6vx7x588x+TEvfe9n3vXfvXtSpU8esxwgMDMT06dMxffp03LhxA4cPH8Yvv/yC5cuX4+bNm9i4caPZ9SXKC3NmkPUFdujQIXz33Xc4cuQIBg0ahIEDB+Ls2bMFum6bNm0QGRmJnj17Yv/+/TaqLdnaihUrkJmZiVq1amHo0KF5/oSFheH06dOGv9qzE2t3794ta9rPT3ZuQ35fGoGBgbh161ae+/7++2+TbdeuXQMA9OzZ02TfoUOHnlgfc2UHLStXrsSjR4+wZcsWlC9fHi1atMj3HC8vLzRo0ABvvvmmIajatGmTzeqUnyc9x9n783q9GjRoAFEUceTIEbMfL7vrLa/n++jRo7K8F3MplUoMGTIEOp0Ov/zyC3755RfodDoMHjxYNjIq+/Xv0qWLSXfWyZMnkZ6ebvZjWvrey37vW/Jc5VahQgUMHjwYGzZsQNmyZXHgwAGbD90nz+Pxwcz169fx22+/4ccffzTkS4waNQrPPPOMSdKnuUqVKoW5c+di2bJlWLZsGSIiItCrVy8cPnzYtpUnm8iev2PWrFn4+uuv8/wZO3YsgJzuqDp16qBx48a4cOECZs+ebXLNR48eyboksrscsuebMdagQQPcunULO3bsMKlbdo5CbtlDiw8ePCjbfvr0aZsmytavXx/VqlXDjh07sGTJEmRkZGDgwIEQBEF23LFjx/L8Ar137x6ArC4Fe8t+jvP7Yn7ca1CyZEkMGDAAZ8+exYwZM/IMRG7fvi3LmckO9ObMmWPoegGyRj8VZLmB7ETg7M8P48RfIP/X/8GDB3kmpD+Ope+9559/HoGBgfj8888RFRVlsl+SJBw5cgRqtRpA1rDyGzdumByXkpKC1NRUqFQqi/OLiIx5/Dvo9OnTkCQJTZo0kW3PzMxEq1atAGQl/z0p36V58+bYvHkzACAiIgIRERGGfY0aNcLNmzcxb948NGvWzMZ3QAVx6NAhXLp0CVWrVn3sazNo0CBMnToVa9euxbRp0xAQEIBFixahe/fu+PTTT7F582bDcN/r169j9+7d2L59O2rXrg0AaNu2Lf766y8MHToUHTt2hI+PD8qVK4eBAwcCAF555RX8+eefeP7559G7d28EBwcb8jc6deqE7du3y+ozcOBAzJs3D2+//TYOHDiAypUr4+rVq9i+fTt69OiBdevW2ew5Gjx4MD744APMnDlTNrdMbl999RX279+Ppk2bonz58ihSpAiuXLmC7du3w9fX1xAM2lOrVq0giiK+/fZbJCQkICQkBEBW11GxYsXQtm1bzJs3D5988gn++ecfw4R5b775JgDgs88+w7Vr1zBr1iysXr0azZo1Q2hoKO7du4crV67g+PHjmD59uiGpuUmTJhg1ahQWL16Mpk2bomfPnoZ5ZooVK4ZSpUpZdR/h4eFo3749du7cabivSpUqyY6pV68emjRpgo0bN6Jjx45o0qQJ7t+/j127diEiIsKi7i1L33vFixfH0qVL8fzzz6Njx45o1aoVqlWrBpVKhdu3b+PEiRO4desWbty4AS8vL5w7dw5Dhw5FnTp1EBkZidKlSyMxMRHbt29HQkICJkyYAH9/f6ueK6JsHh/M6PV6CIKA3bt3m0xwlZ1pr1Qq8/wLJLe8hh3mVr9+fZt+wZBtZLe0PGmtm5IlS6Jr1674448/sHbtWrzwwguoUKEC9u/fj6+//hqbNm3Cd999B29vb5QtWxYvv/yybGK2N954A0lJSdi6dSu++uoraLVaNG/e3BDMtGrVCitXrsRnn32GDRs2wMvLC82aNcPOnTuxfv16ky+U0qVLY+vWrfjoo49w9OhR7N69GxEREZgzZw5at25t0/fagAED8PHHH0Oj0ZiM9so2cuRIFC9eHCdPnsSxY8eg0WhQunRpDBw4EBMmTCiUUXxVq1bF4sWL8fXXX+OXX34xtBT179/fEMzMnDkTP/30E5YsWWJIkM0OZooUKYJNmzZh2bJl+PXXX7Fp0yZkZGQgODgY5cuXx4cffog+ffrIHnPWrFmoUqUKlixZgp9//hklSpRA9+7d8f777z+2K+5JXnzxRUMwY5z4C2R1ma1cuRLTpk3Djh07sGjRIpQuXRrDhg3DpEmT0LhxY7Mfy9L3XvY5hw4dwvz58/Hnn38iKioKSqUSoaGhaNSoET766CNDbk3dunUxceJEHDx4EHv27EFCQgJKlCiBqlWr4tNPP0Xv3r2teo6IchMSExNN5+h2Y2XKlMFnn31mGJp95coVNGjQABs2bDC0xNjDkCFDkJSUxEQ3IiIiG/OIlpmUlBRDwpxer8etW7dw5swZFC9eHFWqVEH//v0xbtw4TJ8+HU8//TQSEhJw8OBBlC9fPs8Eyyf55ptvEB4ejurVq0OtVmPNmjXYvHmzYYglERER2Y5HtMzkN4ndoEGDsHDhQmg0GsyePRurVq3CnTt3ULx4cdSrVw9Tpkwxe+hhbl999RV+/vln3LlzBz4+PqhevTpef/11w/BwIiIish2PCGaIiIjIfXn80GwiIiJybQxmiIiIyKUxmCEiIiKXxmCGiIiIXBqDmQK4fPmyo6vgUJ58/5587wDvn/fvuffvyfcOOO/9M5ghIiIil8ZghoiIiFwagxkiIiJyaQxmiIiIyKUxmCEiIiKXxmCGiIiIXBqDGSIiInJpDGaIiIjIpTGYISIiIpfGYIaIiIhcGoMZIiIicmkMZoiIiMilMZghIiIil8ZghoiIiFwagxkiIiJyaQxmiIiIyKUxmCHbkCRAowEyMhxdEyIi8jAMZqhgkpLgN3AgigYHo1hwMIqVKgX/Nm0gxMQ4umZEROQhGMxQgfi+8w5U27ZB0GoN25SnTsFv1ChAr3dgzYiIyFMwmCGr+V24ANXy5XnuUx45ku8+IiIiW2IwQ9aRJITPng1BkvI9xOeDDyA8fFiIlSIiIk/EYIasovr1VwScPSvblvbll5B8fQ1lMSEBPh99VMg1IyIiT8Nghqzi/cUXsrKmSxdoXnwRmW+9JduuWrUKePSoMKtGREQehsEMWUy4cQOKf/4xlCWFAhnTpwMAMsePh758+ZxjNRqoduwo9DoSEZHnYDBDFjMOTnRNmkBfqVJWwcsL6j595Mdv2lRYVSMiIg/EYIYspty5U1bWdOokK2u7dzc9Pj3d7vUiIiLPxGCGLJOWBuWBA7JN2meekZV19epBHxZmKAtpaVDu2VMo1SMiIs/DYIYsojxwAEKuJQv05cpBX62a/CBRhKZbN9km1caNhVE9IiLyQAxmyCJKo3wZTceOgCCYHKcx7mratg3INUswERGRrTCYIfNJkknyr7ZjxzwP1TVvDn3x4oaymJAARVSUXatHRESeicEMmU28dg1irgUk9d7e0LZsmffBSqVJLg2DGSIisgcGM2Q2xd9/y8optWoBfn75Hq9r1EhWVjKYISIiO2AwQ2ZTnD4tK6fWqPHY47UNG8rPP34ceMxaTkRERNZgMENmMw5m0iIjH3u8vmZNSLlabsQHDyBER9ulbkRE5LkYzJB5JMk0mDEekm1MqYSubl35puPHbV0zIiLycAxmyCxCdDSEXAtGSkWLIrNs2SeepzXKm2ESMBER2RqDGTKLcauMrlYtQHzy20eXV94MERGRDTGYIbOYBDNPP23WeSbBzLlzQFqazepFRETEYIbMYm0wIwUHQ1ehgqEsaLVQnDplw5oREZGnYzBDT5ZH8q+uTh2zTzeeb4ZdTUREZEsMZuiJhNu3IcbFGcqSnx/0VaqYfb6uQQNZWXH2rM3qRkRExGCGnijP5F+FwuzzdTVryq934YJN6kVERAQwmCEzKM6fl5V1tWtbdL5xMCNeugSo1QWuFxEREcBghswgXrkiK+urV7fsAoGB0IeFGYqCVgvx8mVbVI2IiIjBDD2ZcTCjq1zZ4mvojNZxYlcTERHZCoMZejxJgsK4ZcaC5F/DOUbBjMhghoiIbITBDD2W8OABhKQkQ1ny84OUq8vIXGyZISIie2EwQ49lki9TuTIgCBZfxySYMUoqJiIishaDGXosk3wZK7qYAEAfGQkp13Bu8dYtINfClURERNZiMEOPZYt8GQCAt7fJuYp//rG2WkRERAYMZuixTLqZrA1mwLwZIiKyDwYz9FgmwUxEhNXXMhnRxJYZIiKyAQYzlD+tFuL167JNukqVrL6czmiyPSYBExGRLTCYoXyJMTEQNBpDWR8cDAQGWn09fV7LGhARERUQgxnKl/GSAwXJlwEAfXg4JC+vnOvHxQGJiQW6JhEREYMZypctk38BAAoF9EbdVMajpYiIiCzFYIbyZas5ZnLTG63rZPwYRERElmIwQ/lSXL0qKxe4ZSaPazCYISKigmIwQ/kSoqNlZX2FCgW+pnHrDoMZIiIqKAYzlDedDuLt27JN+vDwAl/WZBZgBjNERFRADGYoT0JsrHxYdvHiQJEiBb6uSTfTtWuAXl/g6xIRkediMEN5EmNiZGXJBq0yACCVLAmpWDFDWUhLg3Dnjk2uTUREnonBDOVJvHlTVrZFFxMAQBBM82aMEo2JiIgswWCG8mQSzJQrZ7NrGw/PZt4MEREVBIMZypNxN5PNWmZgulil8UzDRERElnBYMDN37ly0bdsW5cqVQ+XKlTFgwABcuHDhsedER0cjMDDQ5GfXrl2FVGvPIdirmwl5JAGzm4mIiApA6agHPnjwIF566SXUq1cPkiTh008/Re/evXHs2DEUL178seeuXbsWTz31lKH8pOPJcvbsZtJxFmAiIrIhhwUz69atk5UXLVqE8PBwHD16FF26dHnsuSVKlEBoaKg9q+fZ9HqIt27JN9kxZ0aMjgYyMwFvb5s9BhEReQ6nyZlJSUmBXq9HYGDgE48dOnQoqlSpgk6dOmH9+vX2r5yHEe7fh5CZaShLxYoBZrwuZvP3h75MmZzH0+uzAhoiIiIrCImJiZKjKwEAL774Iq5evYq9e/dCoVDkeczDhw+xYsUKNGnSBEqlElu2bMGcOXOwcOFCDBgwIN9rX2aCqUX8z5xB9ZdeMpTTIiJwYcUKmz5G1TFjUPTkSUP58hdf4FGLFjZ9DCIicg8RRgNHjDmsmym3d955B0ePHsW2bdvyDWQAICgoCK+88oqhXLduXcTHx+Orr756bDDzpCfBWpcvX7bbtR1JdeaMvBwRked9FuT+fapXB3IFM2XVaoS40HPprq+9uXj/vH9PvX9PvnfAee/f4d1Mb7/9NtauXYsNGzagghULGdavXx/Xrl2zfcU8mN0mzMt9zYoV5Y95/brNH4OIiDyDQ1tmJk+ejN9//x0bN25E1apVrbrG2bNnmQxsY4LxHDM2TP41XNMocBVv3LD5YxARkWdwWDAzadIkrF69Gr/88gsCAwNx7949AIC/vz8CAgIAAB9//DFOnjyJDRs2AABWrFgBlUqF2rVrQxRFbNu2DUuWLMFHH33kqNtwSw5pmWECMBERWclhwcySJUsAAL169ZJtnzx5Mt5++20AQGxsLK4bdT/Mnj0bMTExUCgUqFy5MubPn//YfBmyXKEEM3m1zEgSIAg2fywiInJvDgtmEhMTn3jMwoULZeXBgwdj8ODBdqoRAQAkyW4rZsuuWbw4pKJFISQlAQCE9HQI9+5BKlXK5o9FRETuzeEJwORchPh4COnphrIUEADJlnPMGB5IMG2dYRIwERFZgcEMyQi3b8vK+rAwu3X9mOTNMAmYiIiswGCGZMS7d2VlfViY3R6LLTNERGQLDGZIRrxzR1aWSpe222Pp2DJDREQ2wGCGZASjYCb3Gkq2xm4mIiKyBQYzJFOYLTP68uXlj81ghoiIrMBghmSEQsyZkcqWhaTMmR1AvH8fSEmx2+MREZF7YjBDMsYtM3o7tsxAqTRZKoEzARMRkaUYzJCMSTeTHXNmAC44SUREBcdghnKkpBhm5AUASaWCFBRk14fkgpNERFRQDGbIwHiOGal0aUC071vEJAnYaCkFIiKiJ2EwQwYmw7LtmPybTTLOmTFa5JKIiOhJGMyQgUnybyEEM8YrcrNlhoiILMVghgwKc46ZbCajmdgyQ0REFmIwQwb2nGPm1CkRr73mg6pVi6BhwwD88osKej0ghYRA8vHJqUNSEpCYaLPHJSIi98dghgxEoxWzJRsFM59+6o02bYrgp5+8cf++iMuXFZgwwQ9t2wYg+qYIfdmy8nqwq4mIiCzAYIYM7NEys2WLEp995pPnvtOnFRgwwB8pZSJk29nVRERElmAwQwa2nv03Pl7Aa6/5PvaYf/9V4M3YSfJ6sGWGiIgswGCGsqjVEB48MBQlQYBUqlSBLjllig/u3895iykUEj76KB2tW2tlx313sR3+QC9DmS0zRERkCQYzBAAQYmMhSJKhLAUHA15eVl/v1i0Bv/6qkm2bNCkTr72mxi+/pKJSJZ18H2ZDCwUABjNERGQZBjMEIJ/Zfwtg9WovSJJgKFevrsOkSZkAgCJFgB9+SINSmRM8XUUVrMLArLqwm4mIiCzAYIYA5JH8W4BgRpKAFSvkrTIjRqihyrWpTh09Bg/WyI6ZjnehgwiBLTNERGQBBjMEABBjY2XlggQzUVEKXL2qMJS9vCQ8+6zG5LjXX8+EQpHTOvMvqmMtnoWYkAAkJ1v9+ERE5FkYzBAAQLh3T1aWQkOtvtaKFfJcmy5dtChRQjI5rmJFPZ57Th7kfInXALCriYiIzMdghgDk0TJj5UgmrRb44w95F9Pgwep8j3/jjUxZ+Qia4QKqMwmYiIjMxmCGANiuZebMGQUePcpJ/C1RQo/27bX5Hl+1qh4tW8r3f4+X2DJDRERmYzBDAExbZqydY+bAAYWs3LKlDkrl488ZOlTecrMUw6C9fjufo4mIiOQYzBAAQLh/X1bWW9kyc+CAPHIxbnXJS48eGhTzzeluikMwthwv2IR9RETkORjMEKDRQIyLMxQlQciaNM/yy+DIEcuDGV9fYEB7+dDwZRebWvz4RETkmRjMkEmrjBQUBNmkMGb66y8FUlNz8mVCQ/WoWlVv1rlDhsqDnp1JjZGYaHEViIjIAzGYIYg2Sv417mJq0UILQcjnYCO12xVHBC4Zymp4Y8sfpsO5iYiIjDGYIQg2GpZtTb6MoQ4qJfoV3S7b9scaq6pBREQehsEMmXYzWdEyo9MBx4+bjmSyxLOVTsjKu48VZVcTERE9EYMZssmEeVevikhLy+lTCgrSo1Il8/JlstWspkE1/GMoa3UiNm2yPHeHiIg8C4MZMp0wLyTE4mucOSNvlaldW2d2vozhccPLoT/kfUsbNzKYISKix2MwQzZpmTENZixrlQEAfXg4nsVa2bZ9+5RIS7P4UkRE5EEYzJBNljI4c0b+VqpVy7J8GSArmKmFswhHtGFbRoaAffueMIUwERF5NAYzBNE4AdjClhlJyrubyVL68HAIAHpgo2z7tm3saiIiovwxmPF0kmTSMmPpUga3bwuIj895K/n5Sahc2fJuJiksDJIomgQz27crIXHKGSIiygeDGQ8nxMdD0GgMZaloUcDPz6JrGLfKPPWUDgpFPgc/jpcXpNKl0QZ74Y8Uw+bYWBGnT/OtSkREeeM3hIczmTDPRiOZrKUPD4c31OiIHbLtW7eyq4mIiPLGYMbD2WIpA5sGM+XKATDNm9m+nUnARESUNwYzHs4kX8aKYdnnztm2ZQYAumILBOTk3Zw6pcTduxZOXENERB6BwYyHK+iw7LQ04ObNnLeRIEioVs3y5N9s2cFMKO6jEaJk+3bsYOsMERGZYjDj4Qo6Yd7Vq/K3UHi4BB8f6+sj/dfNBJh2NTFvhoiI8sJgxsOZLDJpYQLw5cvyLqaICOu7mICclhnANJjZt0+J9PQCXZ6IiNwQgxkPZzJhnsXBjPwtFBFhfRcTAOjLljX833g24PR0Afv3s6uJiIjkGMx4OOHBA1nZ0qHZV67YNpiBt7dh0j4BQHdsku3mqCYiIjLGYMbDFbybSf4WqlKlYN1MgLyryTiY2blTxdmAiYhIhsGMJ1OrISYkGIqSKEIKCjL7dEkCrlwxzpkpYMsMcuaaAYA22AsfldZQjokRcekS37ZERJSD3woezLiLSQoKgiXrEDx4oEJKSs7cL0WKSChVquDNJrlHNPkiA63KXpXt37mTXU1ERJSDwYwHMwlmgoMtOj86Wj4Gu0oVHQQbzGuXu2UGADqVOCYr79rFYIaIiHIwmPFgxiOZLE3+NQ5mbNHFBJgGM12EbbLy4cNKpKSAiIgIAIMZj1bQ5N/CCmaqxh1BxYo5icVqtYADB9g6Q0REWRjMeDCxgN1MN24YBzMFH8kEmAYz4u3b6NBBI9vGriYiIsrGYMaDGbfMWNrNFBPjLStXqWKblhkUKQJ9YKChKGg06FhPXlcO0SYiomwMZjxYQRKAtVogNlYezFSsaKNgBvIRTQDQKuwSvL1zopebN0WTOW6IiMgz8dvAg5ksZWDBitm3bwvQ6XKGLgUH6+Hvb7OqmXQ1BTyIRosWWtk2DtEmIiKAwYxHM1nKwIKWmeho+VunfHnbtcoA8lmAAUC8eRMdOsiDGebNEBERwGDGown37snKloxmsnswY9QyI8TE4Jln5MHMoUNKpKba9GGJiMgFMZjxVBoNxPh4Q1ESBEglS5p9emEHM2JMDCpX1qNCBQ7RJiIiOQYzHkqIi5OVpRIlAKX5gcHNm4XczRQTA0GASesMu5qIiIjBjIcq+IR59g1mjEcziTExgCSZ5M3s2MEh2kREno7BjIcq6IR5psGMbSMKqUQJSH5+hrKQlgYhPh4tW2o5RJuIiGT4LeChCjJhXno6EBub89YRRQlly9q2ZQaCkGcSsJ8f0Lw5h2gTEVEOBjMeqiAT5sXEyN82YWESVCqbVEvGJAn45k0A4BBtIiKSYTDjoUwmzHOiYdnZ8hrRBJgmAXOINhGRZ2Mw46FMJsxzwmAmzyRgZK0BlfsxOUSbiMizOSyYmTt3Ltq2bYty5cqhcuXKGDBgAC5cuPDE886fP4+uXbuiVKlSqF69OmbNmgWJw1ksJjrxhHnZ8hqeDeC/IdpcRZuIiLI4LJg5ePAgXnrpJWzfvh0bNmyAUqlE7969kZCQkO85SUlJ6NOnD0JCQrB7927MnDkTX3/9NebPn1+INXcPtlzKoEKFQupm+i9nBjDNm+Eq2kREnsthf86uW7dOVl60aBHCw8Nx9OhRdOnSJc9zfv31V6Snp2PhwoXw9fVFjRo1cOnSJXzzzTeYMGECBEHI8zwyZZIA7IwtM3mMZsrWsqUWXl4S1GrBUKcrV0RERNinLkRE5LycJmcmJSUFer0egYGB+R4TFRWFpk2bwtfX17Ctffv2uHv3LqKjowuhlm5Cp4Pw8KFskyVLGdy+LQ8ay5WzU85MqVKQcg2TEhMTgeRkAIC/P4doExFRFqf59J8yZQpq1aqFRo0a5XvM/fv3ERYWJtsW/F/3yP3791GhQoU8z7t8+bLN6lmY17YXZUIC6uhzAhBtkSK4bGYwmJkpIC6uvqEsihKSki4hLc3m1QQAPBUSAp/btw3lmIMHkVGlCgCgTp1Q7NmT03qzYYMazzxTeK+HK772tsT75/17Kk++d8Ax9x8REfHY/U4RzLzzzjs4evQotm3bBoVCYfPrP+lJsNbly5ftdm17Ev/5R1YWQkPNvo9r1+SNeaVLS6he3X7PgbJSJSBXMFNRFKH9r66DBon44oucY//+uyjKlIlAromD7cZVX3tb4f3z/j31/j353gHnvX+HdzO9/fbbWLt2LTZs2JBvy0q2kJAQPDDK9cguh1i4tpAnK8iEebduybuYypSxb45KfnPNAEBEhB7h4TmPn5nJIdpERJ7IocHM5MmTDYFM1apVn3h8o0aNcOTIEWRkZBi27dmzB6VLl0b58uXtWVW3IhYoX0b+lnFkMMMh2kREBDgwmJk0aRJWrFiB7777DoGBgbh37x7u3buHlJQUwzEff/wxevbsaSg/99xz8PX1xbhx43DhwgVs2LABX375JcaNG8eRTBYoyLBs02DGvuOhHzeiCchriLaSQ7SJiDyMw4KZJUuWIDk5Gb169UJkZKTh5+uvvzYcExsbi+vXrxvKxYoVw++//467d++ibdu2ePPNNzF+/HhMmDDBEbfgsky6mYKCzD7XeCSTI1tmAKBVq6wh2tlu3FDg6lWH954SEVEhclibfGJi4hOPWbhwocm2mjVrYuvWrXaokecQ4uJkZUtyZgq9m8mo+9A4mPH3B5o102Lv3pwh3Dt3KlGlitqu9SIiIufBP2E9kFigBGD5W6ZsWfv26UhhYZBydSGKsbFAZqbsGK6iTUTk2RjMeCDjlhm9BQnAd+7Iu5nCwuw8466XF6TSpWWbxFxDtQHTVbQPHlTabd4bIiJyPgxmPJC1Q7NTU4HExJy3jFKpR0iI/bNtTZKAc63RBABVq+plsxBziDYRkWdhMOOBRCtzZozzZUJCNBAL4R30uAUngbyHaG/fzmCGiMhTMJjxNGo1hEePDEVJFCEVL27WqcbBTGho4STZPmlEEwB07izvatq2jatoExF5CgYzHsZkJFNQEMxtXjGe/TckpHCCGcmMYKZVKy38/HKilzt3RJw+zbc3EZEn4Ke9hynIUgbO3DLj4wO0bStvndm6VWVyHBERuR8GMx7GJF+mAEsZOFMwAwBdusjzZrZtYzBDROQJGMx4mIItZSDvZnJUMCPcuQPodCbHdeqkhSDkdDWdPq0wqTMREbkfBjMexiRnxoKWmbt3TUczFQp/f+hzLbkgaLUQ7t41OSw4WELDhvIgZ/t2ts4QEbk7BjMepiBLGdy9K2/lCA4uvCUDzO9qMs6b4RBtIiJ3x2DGwxgvZWDu7L/p6fIJ8xQKCSVKaB9zhm2ZM6IJADp3lrcW7d+vRK6F2ImIyA0xmPEw1nYz3bsnb5UpVUoqlAnzspnbMlOtmh4VKuR0NWVmCtizh60zRETujMGMh7F2aLZxvkypUnZek8nIk2YBziYIpl1NHNVEROTeGMx4GGtXzI6NNQ5mCnd6XZMRTfm0zACmXU3btyvzGvxERERugsGMh7F2xWzj5N/SpR3cMvOYYKZZMx2KFs0JtuLiRJw4obBb3YiIyLEYzHiS1FQI6emGouTtDRQpYtapjm6ZkcLDZWXx1i3kt/iSSgV07Chvndm0iV1NRETuisGMB8kzX0Ywb1K52FjjBODCbZmRAgMhBQQYykJ6ukkrU27du8uDmY0blVx4kojITTGY8SAmSxnkmojuSYwTgEuXLuTIQBAs6mrq0EELb++cOt64ocC5c3y7ExG5I366e5CCLGXg6JYZANAbdTU9Lgk4IMB04cmNG9nVRETkjhjMeBCTbiYLljIwzpkp9JYZmD88O1uPHsybISLyBAxmPIhJN5OZLTPJyUByck7LjJeXhOLFnSCYeUzLDJA134xCkVPPCxcUuHKFb3kiInfDT3YPYm03U14jmczMG7Ypc5c0yFaihIQWLeQTzGzaxNmAiYjcDYMZDyI8fCgrm9vN5Og5ZrJZ2s0E5DWqiV1NRETuhsGMB7E2Z8Y0X8ZBwYzxXDMxMfnONZOtWzd5MHPypBK3bzugWYmIiOyGwYwHsX4pA9NFJh1BCgmB5ONjKAtJSRASEx97TliYhIYN5aOaNm9m6wwRkTthMONBrF/KwDlaZiAI0JcvL98UHf3E04xHNbGriYjIvTCY8RR6vUkwY343k3O0zAAwCWZEM4KZ7t3lLTOHDikQF8euJiIid8FgxkMIjx5B0OZ8qUtFigC+vmadazqayUEtM8gjmLlx44nnVKqkR40aOaOa9HqBo5qIiNwIgxkPYW0XEwDcuydvxQgNdWDLjHESsBktMwDQu7e8q2ndOi+b1YmIiByLwYyHyHORSTPdvy9/mzg0mKlQQVY2N5jp00cezBw8qMD9++xqIiJyBwxmPIRJMGPmIpMpKUBKSs6XvkolITDQtXJmACAiQo+nnpJ3NW3YwERgIiJ3wGDGQ1i7lMGDB6atMo6Y/TebSTBz8yagNy+Hp29f464mBjNERO6AwYyHsHYpA+N8mZAQxyX/AgCKFYM+MNBQFNRqCHfvmnWqcVfTkSMKk9mNiYjI9TCY8RDWDst2puTfbJKVXU0VK+pRp06uEV2SgPXr2TpDROTqGMx4CGtn/zVN/nVwywysTwIGTLuafv+dwQwRkatjMOMhTIZmW93N5PiWGWuTgAHTIdrHjilx6xa7moiIXBmDGQ9hfTeT8wzLzlaQYCY8XEKDBvIZgf/4g60zRESujMGMh7B2xWzjuVgcngAM62YBzs04EZhdTUREro3BjCfQaiHGx8s2mTvPjDMmAOc5PNsCxl1NJ08qcf06fxWIiFwVP8E9gPDwoaysL1ECUJq3NpFxArBTtMyUKycrC3fuAJmZZp9fpoyEpk3lXU1r1rB1hojIVTGY8QDWLmWg15t2MzlDywx8fKAPCzMUBUmCGBNj0SX695e3zqxZo4LkBLdGRESWYzDjAaxN/k1IEKDV5gQzRYtK5i60bXcFzZvp3VsDL6+c6OXqVQX++kthi6oREVEhYzDjAYyXMjB3WHZsrHGrjOO7mLLpK1aUlcVr1yw6v3hxCR07yruaVq1iVxMRkStiMOMBrB/JZJwv4zz9MPpKlWRl8fp1i6/Rv79aVl63TgWNJp+DiYjIaTGY8QC2W8rAiVtmrAhmOnbUolixnADt4UMRu3eblxhNRETOw+JgJikpyR71IDuyfikD55v9N5stghkfH9Nh2hzVRETkeiwOZqpWrYoRI0Zg+/bt0Ol09qgT2ZjJitkuPPtvNpNg5saNrOFXFhowQN7VtHmzCozXiYhci8XBzIgRI3DkyBEMHDgQkZGRmDx5Mv7++2971I1sxKSbyeqWGefpZpKKF4c+MNBQFjIzIdy9a/F1mjTRoVy5nPvKyBCwcSNbZ4iIXInFwcynn36K8+fPY+3atWjfvj1WrFiB9u3bo1GjRpg7dy5iLJzvg+zP2mDGuGXGmbqZgIKPaAIAUTRNBF692qtA9SIiosJlVQKwKIpo164dFi1ahEuXLmHRokWoUKECZsyYgTp16qB79+5YtmwZkpOTbV1fsoK1Q7Pj4uQtM8HBztMyA9gmbwYwnUDvwAEFbt7kStpERK6iwKOZfH190a9fP0ycOBGdO3eGXq/HoUOH8L///Q/VqlXDlClTGNQ4Uno6hFzPv6RUAsWKmXWqMycAA3kMz7Zw4rxskZF61K2bM+eMJAlYvpytM0RErqJAwczVq1fx6aefom7duujatSuOHTuGMWPGYN++fThy5AiGDh2KH3/8EWPGjLFVfclCeQ7LFp7c6qDTAQ8fyo8rWdLJgpkKFWRla7qZsg0bJm+dWb7cC8xvJyJyDRZPqvHw4UOsXbsWa9aswV9//QUvLy906tQJM2bMwDPPPAOFImdK+JkzZ6J06dKYNWuWTStN5jPuYjJ3jpmHDwVIUk4wExioh5eTNVYYdzMprOxmAoC+fdV45x0fpKdn3fOtWyL27lWifXvtE84kIiJHsziYqVatGrRaLRo0aIDZs2ejb9++CMw1qsRYZGQkSpr5BUq2ZzIs28x8mQcPjPNlnKtVBshnFmBJMqvlyVixYllzzqxcmROxLV3qxWCGiMgFWNzN9Oqrr+LEiRPYuXMnRowY8dhABgA6d+6MM2fOWFs/KiBrV8x2hWBGKlUKUq6VL4WkJAjx8VZfb+hQ+aimLVuUJknQRETkfCwOZipXrgylMv8GnejoaKxcubJAlSLbER4+lJXN7WZ68ED+1nDGYAaCYJo3U4CupqZNdahSJSdRRqMRuPgkEZELsDiYGT9+PKKiovLdf/LkSYwfP75AlSLbMVnKwOxFJp13wrzcbDU8G8jqnTJunVm2zAuSE8ZxRESUw+JgRnrCJ3t6erosCZgcy9qlDIy7V5xtJFM2k2Dm6tUCXW/gQA2Uypx7vXhRgePH+X4mInJmZiUAx8TE4ObNm4bypUuXcOjQIZPjEhMT8eOPP6J8+fK2qyEViPVLGTj37L/Z9FWqyMoFGZ4NZK0/1bmzFps25XQv/fyzFxo1Si/QdYmIyH7MCmaWL1+OWbNmQRAECIKAOXPmYM6cOSbHSZIEhUKBefPm2byiZB1rV8w2bZlxzm4mXeXKsrJ45UqBrzl0qFoWzKxbp8L06el4Qq47ERE5iFnBTJ8+fVC9enUAwIsvvojRo0ejadOmsmMEQYC/vz9q166NYDO/MMn+jFtmzO1mcvbZf7MZt8worlyxenh2tvbttShTRo/bt7Nap9LTBSxb5oVXXlE/4UwiInIEs4KZyMhIREZGAgAWLFiAZs2aoYLRKBJyQpJkdTeTS4xmAiCVLg3Jzw9CWhqA/4Znx8WZfZ95USqBl15S45NPfAzbFi/2xrhxajAdjIjI+VicADx48GAGMq4iORlCZqahKPn5Af7+TzxNkvKaZ8Y5u5kgCNDboavphRfU8PbOCeBiYkRs3WrxHJNERFQInvjpnJ0rM2nSJIiiaNbSBIIg4K233rJJBcl6JksZBAWZdV5yMpCZmRPM+PhICAiwadVsSlelChRnzxrK4pUr0Bl1g1oqKEhCv34a/PJLzozAixd7o3t3zghMRORsnhjMzJw5E4Ig4LXXXoOXlxdmzpz5xIsymHEO1i9lYNrFVIAUFLszaZkp4PDsbKNGZcqCmf37lbhwQUSNGk7aSkVE5KGeGMwkJCQ8tkzOy1ZLGTjrhHnZ8kwCtoHatfVo1kyLw4dzfk0WL/bCl19m2OT6RERkGxbnzJDrMEn+tXIkk7NOmJfNZK4ZG7XMAMDo0Zmy8urVXkhIcOJmKiIiD2RxMJOZmWnSOvPw4UPMnTsXH374If766y+zr3Xo0CEMHDgQ1atXR2BgIJYvX/7Y46OjoxEYGGjys2vXLktvwyMYzzFjbjdTXJxrTJiXzaSb6do1QKfL52jLdOuWNUw7W9Ywba7XRETkTCwOZv73v/+hd+/ehnJaWho6dOiAqVOnYt68eejUqROOHj1q1rVSU1NRo0YNzJw5E765Vj9+krVr1+LixYuGn1atWll6Gx7BVi0zTjuS6T9S8eLQ50puFjIzIdy6ZZNrK5XAyJHy+WUWLfKGRsPWGSIiZ2FxMHP48GF06dLFUP7tt99w48YN/Pbbb7h48SIiIyMxe/Zss67VsWNHfPDBB+jVqxdE0fyqlChRAqGhoYYfLy+vJ5/kgaydY8Z49l9nnWMmN5O8GRt2NQ0bpoaPT85zcPu2iK1bS9js+kREVDAWBzMPHjxAmTJlDOUtW7agUaNGaN++PUJCQjBkyBCcOXPGppU0NnToUFSpUgWdOnXC+vXr7fpYrsz6FbNdY8K83Owx10y2oCDJZDXtpUtL2aoni4iICsjiWcACAgKQmJgIANBqtTh8+DDGjh1r2O/r64vk5GSbVdD4sadOnYomTZpAqVRiy5YtGD58OBYuXIgBAwbke97ly5ftUh97X7ugat66JXuBb6SnI92M+sbERALIyQtRq2Nw+XLer6mz3H+pwECUzVVOOnkSMTasW/fuXvjhh1rQ6bJaraKjfbFkyW20a5dos8dwNc7y2jsK799z79+T7x1wzP1HREQ8dr/FwUzdunWxbNkytGrVClu3bkVKSgo6d+5s2H/9+nWEhIRYXlMzBAUF4ZVXXpHVJT4+Hl999dVjg5knPQnWunz5st2ubQveSUmycrn69SGVLv3E85KT/WTlOnXCEBFhmjfjTPevbNwY+OYbQ7nEgwfwsWHdIiKA557TYPXqnC7N5csrYtSoFKeeg8denOm1dwTev+fevyffO+C8929xN9N7772HuLg4tG3bFrNmzUKvXr1Qt25dw/5NmzahcePGNq3k49SvXx/Xrl0rtMdzGVothIcPZZvM7WYynjTP2UczAYDe6JdLcemSzR/jtdfkw7TPnFFg0yYucUBE5GgWfxI//fTTOH78OI4dO4aiRYuiRYsWhn2JiYkYOXIkmjdvbtNKPs7Zs2cRGhpaaI/nKoT4eAhSThCiL14cUD15SHFmJvDoUU5TgyhKKF7cBYKZypUhiSIEfVYLknjrVta6DEWK2OwxqlfXo1cvDdavz3keZ8zwQbduKbAgf52IiGzMqj8rg4KC0LVrV5PtgYGBsvyZJ0lJSTG0quj1ety6dQtnzpxB8eLFUa5cOXz88cc4efIkNmzYAABYsWIFVCoVateuDVEUsW3bNixZsgQfffSRNbfh1oT792Vla0cylSwpucZK0d7e0FeqJJv9V3H5MnT16tn0YaZMycCGDUpIUtbzdOGCAuvXq9Cnj8amj0NEROazuo08OTkZMTExSExMhCSZ/uVuTuvM33//jR49ehjKM2bMwIwZMzBo0CAsXLgQsbGxuH79uuyc2bNnIyYmBgqFApUrV8b8+fMfmy/jqawdlm28lIGzz/6bm75qVVkwI168aPNgpnp1PZ59VoPffsvJnZk2zRvdu2vMafgiIiI7sDiYiY+Px5tvvokNGzZAl8fYVEmSIAgC4uPjn3itli1bGkZG5WXhwoWy8uDBgzF48GBLq+yRRKOWGb2ZSdmm+TLOPWFebrrISKi2bDGURTvkzQDA5MmZWLdOBb0+K/C7elWBH37wwujR6iecSURE9mBxMPO///0P27Ztw+jRo9G0aVMEBgbaoVpUUCbdTFbP/utCLTORkbKy4t9/7fI4ERF69OoVh99/z2ntmjXLGwMGqMFfByKiwmdxMLNnzx6MGzcOn3zyiT3qQzZi0s1kZsuMK87+m804mLFXywwAjBp1Gzt2lERqatbzFR8v4vPPfTB9OlfUJiIqbBaPwfD19UV4eLg96kI2ZNLNZGbOjCvO/ptNZzQ8W7x+HciwT3BRsqQWr74qH6r97bdeOHfO+Yc13bsnYO9eBXbuVGLfPgVu3/bAiXKIyK1Y/Mnbv39/bNq0yR51IRuyVQKwsy8yKRMQAH3ZnHmABb0eog3XaDI2fnwmypbNeX50OgFvvOELvRM+ZefPi3j7bR/UrFkEkZFF0bt3APr180evXgGoWbMomjYNwGefeSMlxdE1JSKynMXBTLdu3RAfH4++ffti3bp1iIqKwsmTJ01+yLGsHZptGsy4TssMAOiqVZOVFRcv2u2x/P2BmTPTZduOHVNi6VLnGdZ06pSIZ5/1Q/PmRbBwoTdu3877V/6ffxT49FMfNGhQBL/+qkIeAxSJiJyWxTkz3bt3N/x/7969JvstGc1E9iMatcxYP5rJtb7V9FWrArt2GcqiHYMZAOjWTYvOnTXYti0ngHn3XV+0bq1DxYqOa6KJixPw3ns+WLXKshXlY2NFvPyyH06dysTUqRmcDJCIXILFwcyCBQvsUQ+yJUmyejST6TwzTthn8hg64yRgOwczggB89lk6DhxQGpKBU1MFjB3ri82bUx0y4eBvv6nw1ls+iI/POxLx9pZQs6YOJUpIiI8XcOqUwjDMPNuCBd6IixOwYEE6lFyxgYicnMUfU5znxQU8egRBnTPnieTnBwQEPPE0vd61RzMBeQzPtuOIpmzh4RKmTcvA66/7GrYdParErFneeOedzMecaVuPHgFvvumLNWvybo1p2lSLkSPV6NZNAx+fnO0JCQK+/toL8+d7Q63Oef1Xr/ZCcHDWvRERObMCNSJfvXoVR48exaNHj2xVH7IB4y4mc/NlEhIE6HQ5X2ZFi0qyLz1XYDI8+8oVQKu1++O++KIaHTvKlzT47DMfbNlSOM0aR44o0KJFkTwDmRo1dFi3LhVbtqTi2Wc1Jq9p8eISPvggEzt3pphMkjh/vjfWrXOeHCAiorxYFcz8+uuveOqpp9CwYUN07doVp06dAgA8fPgQ9evXx++//27LOpKFjLuYzB2W7dIjmf4jFS8Ofa6FRwW12q4jmgyPIwDz5qWbdMuNGeOHf/6xX+KJRpO1nEK3bv6IiZE/jre3hA8/zMC+fSlo104L4QkjsJ9+Wo/t21NRpoz8HiZM8MWlS0yeISLnZfEn1Pr16zFq1ChUrVoVn3zyiWxdpqCgIFStWhWrVq2yaSXJMsKDB7KyuS0zrjz7b266GjVkZcX584XyuKVKSfjppzQoFDnPW1KSgD59/HHjhu3ncrlyRUTnzv6YPdvHJOelRg0d9uxJweuvZ1q0ZlTFinosW5YGL6+ce0hLE/D6674c4URETsviYGbOnDlo06YN1q1bl2f+TIMGDXDu3DmbVI6sI1oZzMTFue6Eebnpa9aUlcVCCmYAoEULnckswLGxInr1CrBZQKPVAvPmeaFFiwCcPGnajTVuXCZ2705BjRrWtazVq6fD7NnyIeeHDimxejW7m4jIOVkczFy6dEk2PNtYcHAw4oxyNqhwGbfMmDss27RlxvW6mQBAZxTMFFbLTLbRo9UYOVKe+BsdLaJDhwCcPFmw4U0XLojo2NEfH3zgi4wM+esVGqrHunWp+PTTjALnOg0dqkGHDvIcoPfe88Fj1oUlInIYi4MZPz8/pKam5rv/+vXrCAoKKlClqGBMupnMHJbt6iOZsjmqmylb1nDtDPTvL19FOy5ORNeu/vj6ay/kseD8Yz18KODtt33QunUA/vrLtDWma1cNDh/Oyo2xBUEAPv88A97eOe+BuDgR8+Z52+T6RES2ZHEw06pVK6xYsQJqtdpk3927d/Hzzz+jXbt2NqkcWcd4XSZzF5l05XWZctNHRkLKNcGLGBOTNW65EIki8M036ejXT/57kpkp4P33fdGxoz927VI+MQ/lxg0B77zjgzp1smbw1WjkAWfx4nosWpSG5cvTEBRk29erYkU9Jk6UtzAtXuyN+Hiu5UREzsXicaPvv/8+2rdvjzZt2qB3794QBAE7d+7Enj178PPPP0OhUGDy5Mn2qCuZyXhdJk8azQQA8PGBPiICin//NWxS/PMPdE2aFGo1lEpg0aJ0hIfrMWeOvN/n5EklnntOicqVdejaVYunn9ahTBk9dLqsWZjPnRPx559KnDqV/69oz54azJ6dbtdZmidMyMR333kZ8qlSUgR8840XBgyw20MSEVnM4mCmcuXK2L59O6ZMmYKZM2dCkiTDrMAtW7bE3LlzUa5cOZtXlMznqesy5aarWVMezJw/X+jBDJDVQvP++5moUUOPiRN98eiR/Dm+elWBr7+2LI+mbFk9pk9PR69e9p8/x98fePXVTLz/fs6EgIsWeaNzZwdMbUxElA+rZvSKjIzE77//jsTERFy7dg16vR4VKlRASTNzM8i+TCbN85B1mXLT16gBrF1rKBfmiKa8PPusBs2aaTFpki82b7ZuVFBwsB7/+18mXn5ZXaiTGY4YocZXX3kbWmeSkwWsWxeMBg0Krw5ERI9jUTCTmZmJ1atXY8+ePbh+/TpSUlIQEBCASpUqoX379ujXrx+8vCxb2I5sLCMDQlKSoSgpFJACA8061dXXZcrNZETThQsOqkmO0qUlLF+ehlOnRMyZ44Nt25QmOTDGBEFC48Y6PP+8Gs89Zzp7b2Hw98/qbvroo5zWmbVrg/HJJxlct4mInILZH0Xnz5/H4MGDERMTA0mSULRoUQQEBODBgwc4ffo0/vjjD8yZMwcrV65EpNGU8lR48pwwz4ylj1NTsyZHy+blJaFYMZtXr9DkOTxbkvDEaXALQZ06WRPTPXoE/PmnCidOKHD9uoi4OAEqFRAQIKFqVT2eekqHtm21CA11fAvZiy+qMWuWD9LTs56/e/e8sXWrFj162L+ri4joScwKZlJSUjBo0CDExcXh/fffx4ABAxAWFmbYf+fOHaxatQqzZ8/GwIEDcfDgQfj7+9ut0pQ/kwnzrFwtOzhYcobvfatJZctCKlrU0EolJCdDuHkTUvnyDq5ZjmLFgL59NejbV/Pkgx0sMBDo10+DpUtzWl6XLPFmMENETsGsodnLly/HrVu3sHr1arz++uuyQAYAwsLCMHHiRKxcuRLR0dFYsWKFXSpLT2ayLpOV+TIuO5IpmyCYts5wZuoCMZ4IcN8+JS5e5JpNROR4Zn0S7dixA+3atUPLli0fe1zr1q3Rtm1bbNu2zSaVI8tZO2Geu6zLlJvuqadkZcXp0w6qiXuoXVuPJk3kLTHLlzNHjogcz6xg5sKFC2jRooVZF2zVqhUuOEGypacy6WYys2XGXWb/zU339NOyMoOZgnvxRfkkgL/+qrJ4NmMiIlszK5hJSEhAiJlfisHBwUhISChQpch61q/L5B6z/+amq1NHVlacOuWQeriTHj008PfPeW/cvSti/34OaSIixzIrmMnMzIRKZd7cGEqlMs+lDqhwWNvN5Daz/+air1YNUq6xzOK9exDu3nVgjVyfv39WQJPbqlVcTZuIHMvsP6lu3LiBkydPPvG469evF6hCVDDWdjO50+y/BkoldE89BeWJE4ZNilOnoC1d2oGVcn2DBqmxalVOrszGjSrMmZOOgAAHVoqIPJrZwcyMGTMwY8aMJx4nSRIEVx7T6+JMupnMbplxn9l/c9PVqWMazHTp4sAaub4WLXQICVHj/v2sgCYtTcCWLSr07+/8Q8yJyD2ZFcxkr71Ezs+km8nKlhlXnv03N5MkYObNFJhCAXTu/BBLl+a0cG3YwGCGiBzHrGBm8ODB9q4H2YJOB+HhQ9kma3Nm3KllJjeOaLKN9u0TZMHMrl1KpKSAXU1E5BCc8cqNCA8fQtDntKjoAwMBM9bK0miA+Pict4IgSAgKco9gRl+tGiRvb0NZjI2FEBvrwBq5h+rV01CuXM57LSNDwM6dTAQmIsdgMONG8lyXyQzGc8yUKCG5zwKCKpXpTMBsnSkwQQB69pR3K23Y4C5vGiJyNQxm3Ii1wYxbjmTKhfPN2EevXvJgZscOFdLSHFQZIvJoDGbciPGwbOvXZXLzYMaMKQboyRo00CEsLKerKTVVwJ49bJ0hosLHYMaNGC8yaX3LjHuMZMqma9BAVlYcPw5I7hWwOYIoAt26yVtntm9n3gwRFT4GM25EiIuTldnNlEVfrRqkokUNZTEhAeKVKw6skfvo0kW+8OT27Uro3SsWJiIXwGDGjYhWt8y4dzcTRBFa49aZY8ccVBn30ry5FgEBOe+Xe/dEnD6tcGCNiMgTMZhxIyaz/5oZzNy/bzzHjPv9aa1r2FBWVh4/7qCauBdvb6BtW3nrzNatzJshosLFYMaN2GpodsmSbtYyA0DXqJGsrGAwYzOdOzNvhogci8GMG7F2kcn7991zXabctPXry8riP/8Ajx45qDbupWNHLQQh5z1z+rQCd+5wfTYiKjwMZtyFJFm9yKRpy4z7dTMhMBC66tUNRUGSoOQQbZsIDpbQoIFOtm33bnY1EVHhYTDjLpKSIGRmGoqSr69ZC+VIkvuPZspmnDejiIpyUE3cT4cO8rwZzjdDRIWJwYybEPMali08uan/0SNAo8k5zt9fgr+/zavnFLTGwQzzZmymXTvTYIZDtImosDCYcRPGE+aZP5LJeFi2+34D6Ro3lpWVUVGAVpvP0WSJunV1KFo0p0UvPl7EmTP8eCGiwsFPGzdhu9l/3bOLCQD0ERHQBwUZykJyMhedtBGlEmjd2rh1hqOaiKhwMJhxEyYjmRjMmBIE6Fq0kG1SHDjgoMq4H+OuJiYBE1FhYTDjJoR792RlfWioWecZz/7rjhPm5aZt2VJWVjKYsZm2beXzzRw9qkBqqoMqQ0QehcGMmxCNghmpVCmzzjOe/dcdJ8zLzSSYOXoU0GjyOZosUaGChIoVc4ZoazQCDh9m6wwR2R+DGTdh0jJj5oR5xnPMuOOEebnpq1aVtVoJqalQ/PWXA2vkXtjVRESOwGDGTZgkAJvZzWQ6msm9gxkIArRGeTPsarKdNm043wwRFT4GM27CuJvJ3JwZ45YZdx6anY15M/bTsqUWCkVOQPzvvwrcvs2lDYjIvhjMuAO93rRlxux1mTxoNNN/dEbBjCIqCsg1ezJZLzAQJksb7N3L1hkisi8GM25ASEiAkGvyN6loUcDPz6xz4+Lcf5FJY/pKlaAPCzOUhfR0KI4edWCN3Au7moiosDGYcQPWJv+mpwPJyTktM0qlhGLF3D+YgSBA27atbJNq504HVcb9cGkDIipsDGbcgMmwbLPnmDHtYhI95B2h6dhRVlYymLGZ+vXlSxs8fCji7FkPeWMRkUPwE8YN2GrCPHefYyY3bZs2kBQKQ1lx8SKEGzccVyE3olQCLVrIW2f272dXExHZD4MZN2Bt8q9xy4y7z/4rU6wYdE2ayDaxq8l2jNdpYjBDRPbEYMYNiLGxsrL5c8x41uy/xjSdOsnK7GqynVat5MHM4cNKTrRMRHbDYMYNGLfMmD/HjOeNZMpN+8wzsrJy//6srGgqsGrV9LKWvtRUASdPKh5zBhGR9RjMuAFrE4BN55jxoG4mAPpq1aAvW9ZQFjIyOIGejQiCaesMu5qIyF4YzLgBk5YZKyfM87SWGQiCyagm1aZNDqqM+zEOZvbtYzBDRPbBYMYNmOTMmLli9r178pc/NNTDghkA2q5dZWXlxo1cRdtGjIOZ48cVSEtzUGWIyK0xmHF1GRkQHj0yFCWFAlKJEmadatoy41ndTACgbd0a+sBAQ1lMSGBXk41UqCChfPmc95RaLSAqinkzRGR7DGZcnMmw7OBgQGHeFwZbZgCoVNB27y7f9McfjqmLG2JXExEVBgYzLk40DmbMTP5NTweSknJaZhQKCSVKeGAwA0DTp4+szK4m2+F8M0RUGBjMuDjBKF/G3GHZeSX/espSBsa0rVpBX7y4ocyuJttp2VIezPz9twKJiY6pCxG5Lw/9+nIfJi0zZs/+69lzzMjk1dW0bp2DKuNeQkMlVK+uM5T1egGHD7N1hohsi8GMi7N2XaZ79+QtM6Ghnpf8m5umd29ZWbV+PZCa6pjKuBnj1hnmzRCRrTk0mDl06BAGDhyI6tWrIzAwEMuXL3/iOefPn0fXrl1RqlQpVK9eHbNmzYIkeW6rgnEwY/6EeWyZyU3burUsEBSSk5kIbCPGeTMHDjCYISLbcmgwk5qaiho1amDmzJnw9fV94vFJSUno06cPQkJCsHv3bsycORNff/015s+fXwi1dU7Gc8xY2zLjicOyZZRKqAcNkm3y+uUXB1XGvTRvroUo5gTLFy4oTHK2iIgKwqHBTMeOHfHBBx+gV69eEM3IPv3111+Rnp6OhQsXokaNGujVqxdeffVVfPPNNx7bOmOcACyVLm3WeR4/+28eNM8/LysrjxyBePmyg2rjPgIDgTp1dLJtbJ0hIltyqZyZqKgoNG3aVNaK0759e9y9exfR0dEOrJnjmLTMcPZfq+mrVIG2aVPZNrbO2AbnmyEie3KpT5T79+8jLCxMti04ONiwr0KFCnmed9mOf13b89pPpNWivtFopsvJyZDMqNPNm9UAqAxltfomLl9OsbgKDr1/Owjq2BEVjxwxlMVly3Clf39IXl4mx7rbvVvKkvuvXLkogKqG8p9/6l3++XP1+heUJ9+/J9874Jj7j4iIeOx+lwpmrPWkJ8Faly9fttu1zSHcvQtBn5Prog8KQpWaNc0699EjP1m5fv0yqFLFsrwZR9+/XYwaBWnuXAjJyQAAVXw8qp8+Dc3gwbLD3PLeLWDp/ZcpA0ycKEGjyerevH3bB15eVVG+vGu2CPL199z79+R7B5z3/l2qmykkJAQPHjyQbcsuh5g5v4o7Ee/elZXNXWBSkrguU778/U0Sgb3nz8960shqfn5Aw4byvBnOBkxEtuJSwUyjRo1w5MgRZGRkGLbt2bMHpUuXRvny5R1YM8cQjIIZvZnJv8nJQEZGTjDj6yuhSBGbVs2lZY4bBylXQrriwgUo9u1zYI3cA4doE5G9ODSYSUlJwZkzZ3DmzBno9XrcunULZ86cQUxMDADg448/Rs+ePQ3HP/fcc/D19cW4ceNw4cIFbNiwAV9++SXGjRsHQfC8oZ7Gyb/mtszkNceMBz59+ZIqVDCZEdjbg4f/20peScBs8CIiW3BoMPP333+jVatWaNWqFdLT0zFjxgy0atUKn376KQAgNjYW169fNxxfrFgx/P7777h79y7atm2LN998E+PHj8eECRMcdQsOZW3LDGf/fbJMo/eUatcuiOfOOag27qF+fR38/XOil3v3RFy65FKNw0TkpBzaztuyZUskPmbVuYULF5psq1mzJrZu3WrHWrkOk5YZs+eYkX+BBAfzz2NjukaNoG3YEMrjxw3bfD79FGkrVjiwVq7Nywto2lSLXbtyRtHt26dEZKTagbUiInfAP4tcmMmK2WbPMcOWGXNkvv66rKzasgWKEyccVBv3YJw3wyRgIrIFBjMuzGQ0E2f/tSltly7QNmgg2+YzdaqDauMejBedPHBACZ0un4OJiMzEYMaFWd8yw9l/zSIIyHj/fdkm5b59HNlUALVr6xEYmNMS+OiRgLNn+TFERAXDTxFXlZkJ8eFDQ1ESRUj/zYb8JJxjxny61q2hbdVKts13yhQIWm0+Z9DjiCLQsqW8KYZLGxBRQTGYcVEmC0yGhABK874UjBOA2TLzeBkffCArK/75ByErVzqoNq6PeTNEZGsMZlyUtQtMAmyZsZSuQQOojZYzCPvuOwi3bzuoRq7NeL6ZI0eUUHNAExEVAIMZF2XSMmNm8q9ezwRga2R88gn0gYGGsiI9Hb6TJnGZAytEROhRunROAJ2WJuDECYUDa0REro7BjIsyHslk7oR58fECdLqcYKZYMQk+PjatmluSSpZEplF3k2rrVqiWLXNQjVyXIJiOamJXExEVBIMZF2XSMmPlHDPsYjKf+oUXTIZq+06ZAvHKFQfVyHXltbQBEZG1GMy4KJOWmQKsy0RmUiiQvmgRJH9/wyYhLQ2+I0cCuRY/pSczDmZOnFAgNdVBlSEil8dgxkVZu5QBZ/8tGH3lykifMUO2TXnqFHxffZX5MxYID5dQsWLOEG2NRsDRo2ydISLrMJhxUSaLTJrdMsPk34LSDB2KhLZtZdu8Vq+GF1fWtgiHaBORrTCYcVHWt8xwjpkCEwTceP996CIiZJt9PvwQyvXrHVQp19OqlfHkeRzRRETWYTDjipKSICQlGYqStzekoCCzTn3wgAnAtqArUgRpK1ZAKlrUsE3Q6+E3ciSUf/7pwJq5DuMRTadPKxAXJ+RzNBFR/hjMuCDxzh1ZWR8WljXe1QxsmbEdfUQE0n74AZKY85wKGg38nn8eikOHHFgz1xAcLKFWrZzWGUkSsHs3u5qIyHIMZlyQaDTzrBQWZva5nP3XtrQdOiD9669l24T0dPg/+yyUO3c6qFau45lnNLLyrl0MZojIcgxmXJDxNPr6MmXMPtd0NBNbZgpKM2QI0mfOlG0TMjLgN3gwVOvWOahWrqFDB3lX0+7dSugZXxORhRjMuCCTbiYzgxm1GoiPz9UlIkgICmIwYwvqMWOQ/tFHsm2CRgO/ESPgPWcOh23no2FDHYoWzXlu4uJEnDrFRGAisgyDGRdkbTeTcfJvyZKSuQttkxnUr72G9NmzTbb7TJ0K3zFjgLQ0B9TKualUQJs28taZnTv5piQiyzCYcUGClS0znP3X/tQjRyJt0SJIRlGi1+rVCOjQAeLlyw6qmfPq0IF5M0RUMAxmXJBxy4zezJYZzv5bODQDBiD1999lq2wDgOLCBQS0bQvV2rWOqZiTMs6bOXFCYdKKSET0OAxmXJBxzoxUtqxZ53H238Kja9kSqbt2mUysJ6SkwO+ll+Dzxhtcz+k/YWESateWD9Hevp2tM0RkPgYzrqYAE+bFxnKOmcKkr1IFKbt3Q/3ccyb7vL//HgHt2kE8f94BNXM+XbrIu5q2bVM5qCZE5IoYzLiYgkyYFxsrP650aXYz2V2RIkj/7jukf/EFJC8v2a7sbievBQvg6eORjYOZ3buVbLgiIrMxmHExBZkw784d+cvNYKaQCALUw4cjZccO6CpUkO9Sq+H77rvw69vXJLHbkzz9tB5hYTnvx7Q0gQtPEpHZGMy4mIJMmGfaMsNupsKkr1MHKfv2Qd2/v8k+1d69CGjWzGMXqhQE09aZrVsZzBCReRjMuBiTkUwWBDN378pf7lKl2DJT6IoVQ/rixUj7/ntIxYrJdomJifB/4QX4jh0L5MqL8hRdushHNW3ZooJOl8/BRES5MJhxMSYjmczsZtJqTUczlSrFlhlH0Tz7LJIPHYK2ZUuTfV4rV6JIixZQHD3qgJo5TsuWWhQpkvOevHdPxLFjnA2YiJ6MwYyLsbab6f59AZKUE8yULKmHUT4qFTKpbFmkrl+P9KlTIanko3fEmzfh37UrvKdNAzSafK7gXry9gc6d5ff6xx8c1URET8ZgxsXkOZrJDKZdTGyVcQqiCPUrryBl927oqleX7RL0evjMng3/jh0hXrnioAoWrp495cHMxo0qTx/oRURmYDDjYqydMO/uXQ7Ldmb6WrWQsns3MseMMdmn/PtvBLRqBa8ff3T7BSs7dNDC3z/nHu/eFREVxa4mIno8BjOupAAT5hm3zHAkkxPy9UXGzJlIXbcO+lKlZLuEtDT4vv46/AYOhPDggYMqaH++vkCnTuxqIiLLMJhxIbacMI8jmZyXtl07pBw+DE2PHib7VNu3Zw3h3r7dATUrHL16mQYzHNVERI/DYMaFiDExsrIlE+YZt8zknqCMnI9UogTSli5F2vz5kAICZPvEBw/gP2BA1vpOaWkOqqH9PPOMFgEBOS2HsbEi9u3jnDNElD8GMy7EOJjRh4ebfa5xzgwTgF2AIEDz/PNIOXAA2kaNTHZ7f/89Alq3huLvvx1QOfvx8wN69JC3zqxaxa4mIsofgxkXIty8KStbEswYLzLJbibXoa9YEalbtiDjnXcgKeTJsIrLl+H/zDPwnjMH7tQXM3CgWlbetEmFlBQHVYaInB6DGRdi0jJTrpzZ5xq3zISFsWXGpSiVyHzrLaRu3w5dpUqyXYJWC5+pU+HfvTuE6GgHVdC2WrTQmazVtGkTW2eIKG8MZlyIaGXLTHo6kJiY81IrlRJKlmQw44p0DRogZf9+qF94wWSf8sgRFGnRAqqVK11+CLdCAfTrJ+9qWrGCszwSUd4YzLgQa4MZ0y4mCSJfedcVEID0r75C6vLl0BsNzReSk+E3diz8+veHcOOGY+pnI8ZdTfv3K3H1Kt+4RGSKQwRcRUYGxHv3DEVJFM0ezXTnDodluyNtt25IadAAvhMmQLVzp2yfaudOKJs0QeZbbyFzwgQ41doVKSlQ/PsvxH/+gRgdDfHBAwgPHwIAJKUSKFYM+vBw1K5UCY2e7o+o036GU3/6yQtTp2Y4quZE5KQYzLgI8dYtWVkqXdrsL6i8WmbIPUihoUhbswZe338Pn/feg5CR80UvZGTA55NPoFq9Gumffw5dq1aOqWRmJpQHD0K5cyeUR45APHsWgplrFIzHbkRhqaG8fLkK776bAR8fe1WWiFwR22xdREGGZRu3zHApAzcjCFCPHImU/fuhbdbMZLfi4kUE9OwJv379IJ4+XThVio+HatUq+L3wAopWrgz/Z5+F97ffQnH6tNmBDAD0w68ojnhDOT5exKb3TrnVyC0iKjgGMy7CZFi2BSOZbt2Sv8xlyzKYcUf6qlWRunkz0ubPh75ECZP9qp07UaR1a/g99xwU+/bZPElYvHYNXvPnw79bNxSJiIDfmDFQrV8PoQBjqn2RgRfxk2zboiW+8G/SFMpt2wpYYyJyF+xmchHWJv8CwO3b8mCmTBl2M7mt/yba03bpAp8PP4TXL7+YHKLatQuqXbugq1wZmkGDoOnZE/qICLOXxjA8VHw8FIcOQXnoEJR79kBx8aLZ5+oqV4a+Zk3oqlaFVLo0pBIlIIkiBK0Wwv37EKOjoTh9GooTJzBaswhfYKLh3ONohEOXS6H1wIHQdO+O9JkzzV5wlYjcE4MZF1GQbqbbt43nmGHLjLuTgoKQPn8+1EOHwuejj6A8csTkGMXVq1BMmwafadOgDw+Htnlz6J5+GvqqVaEPDYVUogQgioBOB+HhQ4gPHkC8cgXixYuosX8//C5fNrs++tBQaDt3hqZDB+iaNoVUsqR5J6aloezOneg66Si2PGhi2PwZ3kJr7Idq0yYo9+9H2rx50PbubXZ9iMi9MJhxEcYtM5IF3Ux37hi3zDCY8RS6xo2RumULlDt3wnv2bCijovI8Trx5E143bwIrV9rusWvUgKZrV2i7dIGubl1YNR+Anx+0vXphQrACW7rmbN6CbjiLp1AL5yAkJcH/xRehHjYM6Z99BmYHE3ke5sy4CGtbZtRq4P79nJYZQZA4+6+nEQRoO3ZE6o4dSNm2DZpevSDZYai2pFRC27o10mfORNKpU0g5fBiZ770HXf361gUyuTRtqkPDhlrZthl4W1b2Wro0axbkXFMYEJFnYMuMK1CrIdy5I9ukL1PGrFPv3BEgSTnBTGioBBVnhfdYuiZNkNakSdZoo3XroNy6FcqDByFkZlp8LUkQoK9VC9rmzaFt0QLa5s2BwEDbVxpZ6Tz/+18mhg7N+chaicF4SzkXdbQnDduUJ04goF07pK5aBX2tWnapCxE5HwYzLkC8fRtCrpEn+lKlzG5KN03+ZRcTAVKJElCPHAn1yJFAaioUJ05AceYMFGfPZr3f7t2DkJSUNeJJECAVLw4pKAj6cuWgj4xETGAgQvr2tVvwkpdu3bSoWVOH8+dzFtuc0nA7Nj9oAsWVK4Zt4u3bCOjWDakrV0LXvHmh1Y+IHIfBjAsoyLBs03wZdjGREX9/6Fq3hq51a7NPeXT5MkIKMZABsnqq3n8/AwMH+hu2bT8ShB1rDqDDoueh+vNPw3YhKQn+zz6LtB9/hLZLl0KtJxEVPubMuICCDcvmSCZyH506adGkiTx3Zsq0YCQtX43Ml1+WbRcyMuA3dCiUmzcXZhWJyAEYzLgAk2DGgpYZdjOROxEE4IMP5GsznTmjwHc/+iHjs8+Q8cEH8uO1Wvi9+CIn2CNycwxmXIBotPqxvkIFs881nf2X3Uzk2po10+HZZ+Uran/6qQ/u3BWROXEi0r76ClKuCQAFjQZ+w4ZBuWNHYVeViAoJgxkXIF6/LivrK1Y0+1y2zJA7mj49A0WL5gTmyckCJkzwhV4PaF54Aenz5smOF9TqrC6nXHk1ROQ+GMy4APHaNVnZkmDGeJFJBjPkDkqVkvDee/Lupt27VViwIGv+HM3QoUj76ivZfiEzE35DhmStS0VEboXBjLNLTIQYn7NqsKRSQTJzjpmMDCAuLuclVigklCrFbiZyDy+9pEbTpvJk4E8+8cHx41lDtzUvvID0uXNl+4WMDPgPGgRFPjMhE5FrYjDj5PLMl1Eo8jzWmPGw7NKlJXNPJXJ6CgWweHEaihXLCdA1GgGDBvnhxo2sFkn1iBFI//xz2XlCWhr8+/WDeOZModaXiOyHwYyTUxQgX+bWLQ7LJvdWrpyEefPSZNvi4kT07++Phw//C2hefhnp06fLjhEePYJ/374QLVgsk4icF4MZJ8fkX6LH69VLi4kT5fkzly4p0KOHP+7d+y+gGT8eGVOmyI4R4+Lg37u3yaSUROR6GMw4uYIk/968KX95w8OZL0Pu6b33MtG3r3y49oULCnTt6o8rV7J+DzInT0bmuHGyY8Tbt7MCGi5OSeTSGMw4OZOWmUqVzD7XNJhhywy5J1EEvvkmHa1byxOCr15VoF27AGzapAQEARnTp0M9bJjsGMW1a/Dv0wdCQkJhVpmIbIjBjJMrSDdTdDSDGfIcPj7AqlWp6NhRI9uelCTg+ef9MWqULx7Gi0j/4guo+/aVHaO4cAF+zz0HJCcXZpWJyEYYzDiz9HSId+4YipIgWLQuE1tmyNP4+gK//JKGAQPUJvvWrPFCvXpFMPsLP9yfvQiaTp1k+5UnT8J/0CAgPb2wqktENsJgxomJ0dGyslS2LODtbda5Wq3pIpPlyjGYIffn5QV8+206Zs5Mh0IhzxN79EjAtGk+qFknCK+UXYuTdV5A7iOUBw/C78UXAbVpMEREzovBjBMr6My/Ol1OMBMcrIefn82qRuTUBAEYM0aNnTtTUbOmzmR/UpKARd/7o8Gpn1Dd+zpewxfYgB5IRDGotm+H34gRQGamA2pORNZgMOPEjPNldEz+JbJIvXo67N2bgo8/TpdNrpfbxcwK+AqvoRc2IAgP0QDH8fqmTljX9gdcOZsJPX91iJye0tEVoPwVJPnXOJgpX56fyOSZVCrg1VfVeOEFNb75xhs//uiFBw/y/jtODwVOogFOogFwAUBLoFhRPeo30KF+/ayfhg1NW3qIyLEc3jKzZMkS1K5dG6GhoWjdujUOHz6c77EHDhxAYGCgyc+lS5cKscaFx5bBDFtmyNMFBgLvvJOJc+eSsWRJGjp10kClevLcS4+SROzercLnn/tg4EB/VK5cFMOHV8OcOd44f16ExOmbiBzOoS0z69atw5QpUzBnzhw0adIES5YsQb9+/XD06FGUK1cu3/OOHj2K4sWLG8olS5YsjOoWOsWVK7IyJ8wjKjhvb+C55zR47jkNEhOBAweUhp9//jFv8bJz5wJw7hwwdaoPKlTQYcgQDZ5/Xo3Spfl7RuQIDm2ZWbBgAQYPHowXXngBkZGR+PzzzxEaGooffvjhsecFBwcjNDTU8KNwx9UT09Nl06xLggB9lSpmn845ZoieLDAQ6NFDi88+y8CRIym4fDkJK767jymlf0R77EJRPHriNW7cUGD6dB/UqlUE48f74upVhzd4E3kch/3WqdVqnDp1Cu3atZNtb9euHY4dO/bYc9u0aYPIyEj07NkT+/fvt2c1HUa8cgVCrvZrKTw8axINM7GbichywcESuvbzxpTjHbGt1VQkoDguoDp+wgsYi29QRziV77larYDly73QsGEAJk3yQXy8kO+xRGRbDgtmHj58CJ1Oh+DgYNn24OBg3L9/P89zSpUqhblz52LZsmVYtmwZIiIi0KtXr8fm2bgqhVEekK5qVbPP1WqzhmbnxjlmiCwQEIDUNWug694N1fEvXsBSfIPx+Fuqi1sog9k15qFT+wx4e5t2K+n1ApYs8Ua9egFYuVLFnBqiQuBSo5kiIiIQERFhKDdq1Ag3b97EvHnz0KxZs3zPu3z5st3qZK9rhx09itzTwjwMDsYtMx/rzh0v6HS1DeUSJTS4dcs+9bTnc+vsPPneAQ+5//ffR5ngYJT+8UfDpjK4gzcuvIoJibNwevpUrLnbAWvWhCAmxkd2amKiiLFj/bByZQLeey8axYtrja/u0jzi9c+HJ9874Jj7z/3dnxeHBTNBQUFQKBR48OCBbPuDBw8QEhJi9nXq16+PdevWPfaYJz0J1rp8+bLdru0bFycrF23c2OzHio2V5xBVqiTYpZ72vH9n58n3DnjY/X/xBdKaNoXva69BSEszbPa+cweNJr2EOsOG4d0d72HdoTKYPt0b16/Lf//27y+OESOKYenSNNSr5x7Duj3q9TfiyfcOOO/9O6ybycvLC3Xq1MGePXtk2/fs2YPGjRubfZ2zZ88iNDTU1tVzOONuJr0F3UzXrzNfhsiWNP37I2X3buiqVTPZ57V0KQIb1ceQm7NwdOddfPxxOnx95X1Lt26J6NzZH7/9piqsKhN5FIem3Y8fPx4rVqzA0qVLcfHiRUyePBmxsbEYPnw4AGD06NEYPXq04fhvvvkGmzZtwtWrV/HPP//g448/xubNm/Hyyy876hbsQ6eDePWqbFNBgplKlRjMEBWUvlo1pOzejczRoyEJ8pw0ITkZPp98guD6T+Gt5A9wcM1lNGwo71ZSqwWMHOmHr7/2KsxqE3kEh+bM9O3bF/Hx8fj8889x7949VK9eHWvWrEH4fytD37p1S3a8RqPBBx98gDt37sDHx8dwfMeOHR1RfbsRYmIgZGQYyvoSJSAFBZl9/tWrxt1MDGaIbMLPDxmzZuF6gwaI+OwzKIxyB4RHj+AzezbqzpmDvW2ewVttZmHB3jqyY95/3xdJSQLeeScTAgc8EdmEwxOAR44ciZEjR+a5b/PmzbLyq6++ildffbUwquVQJl1MkZEWnX/tGltmiOwppU4dpBw6BK/vv4f3rFkQExNl+wVJgt+eHZiPHWiEoRgpfA+NlNPF9PnnWcnCDGiIbMPhwQyZEi9elJX1FiRbSZJpN1PlygxmiGzOywvqsWOhGTgQXosWwWvRIogJCSaHDcMyhEl30BfrkIyihu2ff+6DwB/n461q66EvVQpSkSKAtzckH5+saYq9vLJ+ofV6038BQ1nI3g5AEsWsJcOz/83+v7c3JF9fSL6+gI8PpIAASCVLQgoOhj4oCChWDIyqyJUxmHFCxk3Xlswxc/++gNTUnA+lIkUklCzJiS6I7EUqXhyZU6Ygc8IEeK1aBdUvv0B56pTsmA74EzvxDDpiB5JQzLD93bhJKH3wPIbjp8KttBFJpYK+XDnoIyOhi4yEPjIS+mrVoKtZMyuoInJyDGackFiAkUzGU6lXrKjnH1xEhSEgAOqRI6EeORLiuXNQbdoE1datUJw+DQBojCjsQEeTgOZlfIcyuI2O2OmomkPQaKC4dg2Ka9eg2rrVsF3y9YWuYUNoW7eGpksX6KtXZwsOOSUuIuKEjIMZS1pmjPNlKld2j3ktiFyJ/qmnkDllClL27UPS1atIXbECGa+/jnqdiuOP0FHwRk6Cvw5KDMBqXEFlB9Y4b0J6OpT798Nn6lQUadYMAfXqwXvWLHjdvevoqhHJsGXGyQgPHkCMjzeUJR8fSI9ZQdwYh2UTORcpKAjarl2h7doVAFAPwJL1Grww3Bt6fVYrRyKKo1epo9gz6icUFVKAjAxAo8nJe8md/5LHv9lDxYW8cmx0OkCthpCWljVKMiMDwqNHEOLiIMbFQYiLg5Caata9KK5fh2LGDNQSBGi7dEHmq69CZ8G8YET2wmDGyYjnz8vK+qpVAQtWBTdumalYkcEMkbPp0UuPjz/OwPvv5yweeyG2JF7661UsXZoGsbDbzJOTIV69CsXFixAvXoTi33+h+PtviPm0wAiSBNWWLVBt2QJts2bI+OQT6Bo0KORKE+VgMONkFGfPysq6p56y6HzOMUPkGiZMUOP0aQV++y0nwXbTJhVmz/bGW29lFm5lihSBvk4d6OvUydkmSRCio6HaswfKrVuh3LsXglptcqry8GEEdOgAde/eyJg2DVLZsoVXb6L/MGfGySiMWmYsCWY4LJvIdQgCMG9eOmrVkue1ffqpD3btcoK/MwUBUoUKUA8fjrQ1a5B06RLS58yBrnbtPA/3+uMPFGnSBF6LF2d1bREVIgYzTkZx7pysrKtZ0+xz4+IEJCfnjDTw95cQEsJh2UTOys8PWL48FUFB8j86xo71xb17TjZqKDAQ6pdeQsq+fbi4cCE07dqZHCKkpMD3rbfg36MHBKMZ3InsicGMM1GrTSfMq1XL7NM5LJvI9YSHS/jxxzSIYs4fHg8eiBg71tcwP55TEQQkN2iAtHXrkLJhA7S5u6b+ozx8GAEtWkC5cWPh1488EoMZJyJeugRBozGU9WFhkEqUMPv8S5fkL2eVKmzqJXIFrVrpMHmyPE9m924VFixw7gnrdK1aIXX3bqTPmZM1g3EuYmIi/IcOhffUqXDOqIzcCYMZJ1KQfBkAuHhRnvwbGckPECJXMWlSJpo1k6+0/cknPjh1ysk/pkUR6pdeQvKxY3l2PfnMmQO/QYOA5GQHVI48hZP/lniWguTLAMDFi/KXs1o1BjNErkKhABYvTkNgYM7vrUYjYMQIP6SkOLBiZpLCwpD2229InzoVkkol26favh0B3bpBiI11UO3I3TGYcSKiUTCjt7Bl5t9/jVtm2M1E5ErKlpUwb166bNu1awq8+65vPmc4GVGE+pVXkLppE/QhIbJdijNnEPDMMxCN1p4jsgUGM06kIN1MycnArVs5L6dCIXFYNpEL6tlTixEj5PkzP//sha1bnWC4tpl0jRsjZc8eaOvWlW0XY2Lg362byUAHooJiMOMkhPv3Id6/byhLPj7QVzZ/rZbLl+WtMhUr6uHtbbPqEVEhmjYtAxER8pbV//3PF3FxrjM8USpTBqmbNkHTsaNsu3j/Pvx79ID4778Oqhm5IwYzTsIkX6ZaNUBp/l9i//4rfymZ/Evkuvz8gMWL06FUyodrv/qqLyRXmjrK3x9pK1ZA/fzzss2GgOaffxxUMXI3DGachOLUKVnZ0nwZ42HZ1aoxX4bIldWtqzNZ1mDzZhWWL1flc4aTUiqRPm8eMkeMkG0WHzzICmguXHBQxcidMJhxEooTJ2RlXf36Fp1vmvzLlhkiVzdxYiYaNJAP154yxRc3brhOdxMAQBSRMXs2Ml96Sb45Lg7+PXtCvHTJQRUjd8FgxhlIEhQnT8o2aevVs+gSxsOyOZKJyPUplcCiRenw88vpW0pJETB2rJ/rLX+UHdCMHCnfHBcH/759Idy+7aCKkTtgMOMEhFu3IN67ZyhLvr7QWzDHTHo6cONGzkspCBIiItgyQ+QOKlfWY9q0DNm2I0eU+Ppr554dOE+CgIzPP0fmyy/LNou3bsH/2WchJCQ4qGLk6hjMOAHjVhldnToWJf9euiRCknKancPDJfj52ap2RORow4er8cwzGtm26dN9cOaMC36ECwIyPvsM6mHDZJsV//4LvwEDgNRUB1WMXJkL/ia4H6VxMGNhF9PZs/J8merVXa39mYgeRxCAr79OR4kS8tmBR4/2Q0bGY050VoKA9LlzoeneXbZZGRUFvxdfBDSavM8jygeDGSdgkvzboIFF5585Iw9matdmMEPkbkqVkvDll/LZgf/5R4GpU30cVKMCUiqRtmQJtM2byzardu6E74QJcK0x6ORoDGYcTauF4vRp+SYLRzIZt8wwmCFyTz17ajFokFq2bcECb+zbp8jnDCfn44PUFSugq1VLttlr9Wp4T5vmoEqRK2Iw42DihQsQ0tIMZX1wMKRy5cw+X69nMEPkSWbOTEe5cvIE//Hj/ZCY6Jj6FFixYkj97TfoKlSQbfaZMwdeP/zgmDqRy2Ew42Am+TL162d1kJvp+nURKSk5xwcG6lGuHJtnidxVsWLAwoVpEISc3/Nbt0S89ZaLLEaZByk0FGm//w59yZKy7T6TJkG5dauDakWuhMGMg9k+X0ZvSSxERC6oRQsdXnlF3t20Zo0XfvnFxWYHzkVfsSLS1qyBlGsopqDXw2/ECJMRn0TGGMw4mPLgQVlZ27ChRecbD82sVYtdTESe4N13M1Cjhvz3/c03fXH+vOt+rOvq1UPaDz9AEnPNm5WeDr/+/SFeu+bAmpGzc913vRsQbt6EGB1tKEsqFXQWBzPMlyHyRN7ewPffp8HXN6e7KT1dwIsv+iE52YEVKyBt587ImDNHtk18+BB+zz4LIS7OQbUiZ8dgxoGUBw7IyroGDWDJbHeSxGCGyJNVr67HnDny4dqXLyvw+usutrq2EfXw4ciYNEm2TXH9etakerkGTBBlYzDjQMbBjLZlS4vOj40V8OBBzkvo48NlDIg8zeDBGjz/vDx/5rffvPDjjy643EEume++C/XAgbJtypMn4TdiBKDV5nMWeSoGM44iSab5MhYGM8ePy1tlnnpKZ8kqCETkJj77LN0kf2byZB8cOuSi888AWbMEz5sHTZs2ss2qbdvgM3kyJ9UjGQYzDiLeuAHx1i1DWfL2tjhfJipKHrk0asQuJiJP5OcH/PxzGgICcr7gNRoBQ4f64fp1F/6Y9/JC2tKl0BktvOv9/ffw/vJLx9SJnJILv8tdm8I4X6ZxY8DHsmnJjx2T/9XVuDGbXok8VUSEHgsWyPNJ4uNFDBjgwhPqAUDRokj99Vfoy5aVbfb5+GOoVq92UKXI2TCYcZCC5stkZACnTsmDGbbMEHm2Xr20ePtt+cqTly4pMGKEn0unmUhhYUj99VdIRYvKtvtOmADFvn0OqhU5EwYzjqDXQ7l/v2yTpcHMqVMKaDQ5s+OFh+tRujT7kIk83VtvZeK55+QJwbt3q/Dmmz4unWair14dqcuXQ/LKSWwWNBr4Dx0K0Wh9O/I8DGYcQHH6NMR79wxlyd8funr1LLqGcRdTkyYu/GcXEdmMIADz56ejYUP5Z8KPP3rjww9dO6DRtWyJ9IULZduEpCT49+0L8eJFB9WKnAGDGQdQbt4sK2vbtwe8LBtGeewYk3+JKG8+PsDy5WkoW1Y+VcO8ed74/HNvB9XKNjTPPov0qVNl28SHD+HfqxfE69cdVCtyNAYzDqAyWjhN06WLRedLEhAVZZwvw5YZIsoREiLht99SUaKEPKD59FMfzJ/v2nPQqCdMQOYrr8i2ibGx8O/ZE0KuUaLkORjMFDIhOhqK8+cNZUkUoe3Y0aJrXLokIi4u56ULCJBQsyYnyyMiuWrV9Fi3LhVFi8r7lt57zxeLF7twQCMIyPjkE2SOGCHbLMbEwL93bwj37zuoYuQoDGYKmWrbNllZ16QJpKAgi66xe7e8i6lxYy0ULjw3FhHZT506evz6ayr8/OQBzVtv+WLWLG/XzaERBGTMng31gAGyzYorV+DfqxeEXHmJ5P4YzBQy1ZYtsrKlXUyAaTDTrh27mIgof40b67ByZSq8veWRy4wZPpg82Qd6V23YFUWkL1gATc+ess2Kf/6Bf9eu7HLyIAxmClNiIhSHDsk2abt2tegSGRnAwYPyYKZ9ewYzRPR4rVvrsHy5fJVtAFi82BujR/tCrc7nRGenVCJtyRJonnlGtllx9SoCunaFcOOGY+pFhYrBTCFSbdgAIdfMVbqqVaGvXNmiaxw7pkB6es78MmXK6BEZ6ap/VhFRYerQQYvff09FsWLygObXX73Qt68/4uKEfM50cl5eSFu2DJpOnWSbxZs3EdC1K8RLlxxUMSosDGYKkdfKlbKyplcvi6/x558qWbltWy0EF/38IaLC16SJDlu2pKBUKfkfQQcPKtG2bQDOnnXRrwUfn6yAxqjLSbxzB/7dukE8dcox9aJC4aLvWtcjXrsG5ZEjsm2aQYMsvs6ff7KLiYgKpmZNPbZtS0HFivL5qWJiRHTqFID165X5nOnkvLyQ9sMPUPfvL9ssPniAgG7doDQagEHug8FMIVEZtcpomzaFvlIli65x65aA8+dzhi0JgoTWrRnMEJHlKlSQsHNnKpo3l3+GpKUJeOEFf7z7ro9r5tEolUj/9luoX3hBtllITYXf4MHwWrTIQRUje2IwUxj0epMuJrUVrTK//y7vYmrYUIcSJVx1XCUROVrJkhL++CMVL7+cabJvwQJvdOzoj2vXXPBrQhSR/uWXJhPrCXo9fCdPhs/kyYCOs6a7Exd8l7oexcGDEHMNEZR8fa3KlzEOZnr31hS4bkTk2VQq4PPPM/DVV2lQqeR/HJ06pUSrVgFYvVqVz9lOTBCQMXUq0ufMgSTKv+q8Fy2C3+DBQGKiY+pGNsdgphB4GzVrarp3B4oVs+gaN24I+OuvnH5sQZAYzBCRzbzwggabNqWarOeUkiJg9Gg/vPCCHx48cL3RBuqXXkLaqlWQAgJk21Xbt6NIq1ZMDHYTDGbsTLx0CUqjifLUzz9v8XV+/10+9XiTJjqEhbGLiYhsp3FjHQ4eTEaPHqZ/KK1fr0LjxgFYt07lcrMGazt2RMqWLdCHhcm2izdvIqBjR3h9/z1c7qZIhsGMnXnPnw8h1y+J7umnoWvVyuLrrFsnb+bt25etMkRke4GBwNKlaZg7Nx0+PvIv+Ph4ESNG+OGttyrj9m3XaqXR166NlF27oK1fX7ZdUKvh+8Yb8B01CkhOdlDtqKAYzNiREBsL1apVsm2Zr74KSyeG+ftvBc6ezRnFJIoSevViMENE9iEIwIgRauzZk4K6dU1HTO7dWxyNGhXBvHleLjXiSQoLQ+rWrcgcNcpkn9evv6JIs2ZQ7NvngJpRQTGYsSPvhQsh5PpN15cvbzKhkzkWLZJ3MbVrp0VICJtEici+qlfXY+fOVHz4YQa8vOSfOampAj74wBctWwZg3z4XWunWywsZn32GtB9+MMmjEWNiENCrF3zefBNISXFQBckaDGbsRLh502Q+g8wJEwClZZNRPXggmHQxvfyyC/0pREQuTakEXn89E/v3p6BBA9NWmosXFejVKwADBvjhn39c5ytF07cvUvbsga5GDZN93t99h4AWLaA4cMABNSNruM47z8X4fPghhIwMQ1kfEgL1kCEWX2fpUi+o1TndUhUq6NChAyfKI6LCVa2aHtu3p2Lu3HQULWr6GbR9uwrNmwfglVd8ceeOa+TT6CMikPLnn8gcPx6SUfe/4sYNBPToAd+XX4Zw546DakjmYjBjB4pDh+D1+++ybRkffAD4+Vl0nbQ0YMkSeRfTyJFqKFyoRZeI3IdCkZVL89tv5/D886YtxHq9gGXLvFCnThG88YYPoqNdIKjx9UXG9OlI3bIFuooVTXZ7/forijRsCK8vvwQyTScXJOfAYMbW1Gr4Tp4s26StUweawYMtvtSiRd64ezfnJfLzk/L8ACEiKkzFi2sxf346du5MQZMmpq00arWA77/3Rv36RTB+vC8uXXL+rxpd06ZIOXgQmaNHm+wTUlPh+9FHCGjWDIG7d3MYtxNy/neYi/H55BMozp2TbcuYORMQLXuq4+MFfPGFt2zbSy+pERhY0BoSEdlGw4Y6bN2aiuXLUxERYbo8gFYrYPlyLzRqVAR9+vhh61alc68i4O+PjFmzkLJ1K3RPPWWyW3H1KqpMnoyANm2g3LGDQY0TYTBjQ8qdO+E9f75sm7pfP+iaNLH4WrNneyMpKaeJtlgxCRMnsomTiJyLIADdumlx5EgKvvwyDeXK6fM8bs8eFQYN8ke9ekUwZ443YmKctwtK17QpUvbuRfrs2dDn8Rek4vRp+PfvD/9OnaDcs4dBjRNgMGMjwo0b8B07VrZNX7YsMj77zOJrHTumwLffynNlJk7MQPHi/IUhIuekVAIvvqjBX38lY8GCNFSunHcTTHS0iKlTfVC7dhH07OmPlStVSEoq5MqaQ6mEeuRIpJw8iczhw00ShAFAGRUF/z59ENCyJVQrV8KlJt1xMwxmbECIjYV/794Q4+IM2yRRRNp330EqXtyiayUnA6NH+0Kvz/nFKVNGj1Gj+EtCRM5PpQKGDNEgKioFP/yQhkaN8h59KUkC9u9XYuxYP1SpUhQDBvhh2TIV4uOdq8VGCgpCxhdfIOXw4XwXCFacOwe/sWNRpHZteM+dCyHXdwEVDgYzBSQ8eAD/Pn2guHFDtj1zyhTomja16Fp6PfDaa764cUM+XGnevHT4+ha0pkREhUehyFp2ZceOVOzdm4zBg9Xw9s67dVmtFrB9uwqvvOKHKlWKoGNHf8ya5Y0TJxROk2Ojr14daT//jPO//AJN5855HiPGxsLnk09QpFo1+D3/PJRbtwJaTqVRGBjMFIDvxYsIaNsWin/+kW1X9++PzEmTLLqWJAHvvOODtWvl3Usvv5yJ9u35y0BErqtOHT2++SYd//yTjM8/T0e9evl/pun1AqKilJgxwwcdOgSgSpUiGD7cF0uXqnDtmujw9JT0yEikrVqFlF27oOnRI8/uJ0GrhWrTJvgPGoQiNWvC5733oIiKyvqLlexCSExMZCKGpfR6qJYtg/fkyVDkmhgPADSdOyNt2bKstlYz6XTABx/4YMEC+eilqlV12Ls3xdLpaQrN5cuXERER4ehqOIQn3zvA++f9F/z+//1XxOrVKqxfr8K1a+ZPnhUaqkfTplo0a6ZD06Za1KihL9S5t4zvXbx+HV4LF8Jr+XIIqamPPVdfqhQ03bpB2707tM2aAd7ejz3eGTnre5/BjIWEu3fhN3w4lEePmuzTtGuHtBUrAB8fs68XFydg7Fhf7NwpD35CQ/XYvj0FFSo478vjrG/qwuDJ9w7w/nn/trt/SQLOnxexcaMKGzeqcOGCZZFJkSISnn5ah3r1dKhfX4u6dXUoV06ydD1fs+V774mJ8Fq2DF7LlkFx6dITryP5+kLbpAm0rVtD17o1dLVrwxVmRHXW975lCwURpBIlIDx8aLI9c/RoZEyfbvbaS5mZWUsVTJvmg0eP5L91RYtKWLs21akDGSIiWxAE4Kmn9HjqqUy8/XYmbt8WsHu3Ert3K7FnjxKJiY/PhkhOFnDwoBIHDyoBZLV0lCypR+3aOtSooUf16jrUrKlD1ap6+7ZyBwZC/corUE+YAMXx4/BavhyqdesgJCfnebiQng7Vnj1Q7dkDAJCKFIHu6aehq1cP2nr1oKtbF1J4OOwWlbkZh7fMLFmyBPPmzcO9e/dQrVo1zJgxA82aNcv3+IMHD+Ldd9/Fv//+i1KlSuHVV1/FiBEjCrHGgOLgQQR07w4AkPz8kD5zJjTDhpl9/q5dSowd64sHD0x/SUuX1mPFijTUreskWW+P4awRemHw5HsHeP+8/8K5f50O+PtvBXbvVuLwYQWiopRIS7Puy10QJFSqpEeVKnpUqJD1U7Fi1r/ly+vNHmRh0b2npkK1fTuUmzZBtWMHBAtX4paKFIEuIgL6iAjoIyOhq1wZUng49GXLQipZ0iGBjrO+9x3aMrNu3TpMmTIFc+bMQZMmTbBkyRL069cPR48eRbly5UyOv3HjBvr3748hQ4Zg8eLFOHr0KN544w0EBQWhVz5D5uxB16IF1EOGIC06GuI332RFzxaoVEmPuDjTN2GDBlr88ksaSpViiwwRkUIBNGigQ4MGWX/caTTAmTMKHD6swOHDShw9qkBCgnnjWCRJwNWrCly9mndXTokSeoSGSggN1SMkREJoqISQED0CAyUULSohMFBCsWIS4uO9ERgowMdHgo/PE9Ij/f2h6dsXmr59kZ6RAeW+fVBt3Ajl7t0QzVi8UkhOhvKvv4C//jK9Hx8f6MuUgRQSAikoCFJQEPRBQZBKlMgqlygBKSAAkr8/4OcHyc8P8PfP+tfLy+1afBzaMtO+fXvUrFkT8+bNM2yrV68eevXqhQ8//NDk+A8//BAbN27EX7le2FdeeQX//vsvdu7cWSh1NsjMxOXoaERUrWrV6YMG+WHr1qzfAn9/CVOmZGDMGLUlecMO56wRemHw5HsHeP+8f+e4f0kCbtwQ8ddfCsPPmTMKpKYW3he1QpEV1Hh75/zr5ZUViAlC1r+iKEGhyP5/1o8iMw3KpAQoEuMhJsTjKe0pzIFlo2CtJSkUWVGYSgVJqcxKj1CpAKUyq5z9///+NdyMICA9IwO+fn6GMgQBkiga/p/5zjvQNWhQKPeRm8OCGbVajdKlS+P7779H7969DdsnTZqECxcuYMuWLSbndOnSBTVr1sTs2bMN2/744w+MHDkSd+/ehcqVIgEiIiKyCYfNM/Pw4UPodDoEBwfLtgcHB+P+/ft5nnP//v08j9dqtXiYR1IuERERuT9OmkdEREQuzWHBTFBQEBQKBR48eCDb/uDBA4SEhOR5TkhISJ7HK5VKBAUF2a2uRERE5LwcFsx4eXmhTp062PPfGPtse/bsQePGjfM8p1GjRnkeX7duXebLEBEReSiHdjONHz8eK1aswNKlS3Hx4kVMnjwZsbGxGD58OABg9OjRGD16tOH44cOH4+7du5gyZQouXryIpUuXYsWKFZgwYYKjboGIiIgczKHBTN++fTFjxgx8/vnnaNmyJY4ePYo1a9Yg/L95W27duoVbt24Zjq9QoQLWrFmDw4cPo2XLlpg9ezZmzZpl1RwzCQkJePPNN9GwYUOUKlUKNWvWxMSJExEfHy87LjExEaNGjUJ4eDjCw8MxatQoJCYmyo45f/48unbtilKlSqF69eqYNWsWJKPV0NavX4/GjRsjJCQEjRs3xsaNG2X7JUnCjBkzUK1aNZQqVQrdunXDP0YLWDqLJUuWoHbt2ggNDUXr1q1x+PBhR1fpsebOnYu2bduiXLlyqFy5MgYMGIALFy7IjjHn+S+s94K9zZ07F4GBgXjzzTcN29z9/mNjYzFmzBhUrlwZoaGhaNy4MQ4ePGjY7873r9PpMG3aNMPvbO3atTFt2jRoc63m7E73f+jQIQwcOBDVq1dHYGAgli9fLtvvTPdq68/9x927RqPBhx9+iGbNmiEsLAyRkZEYOXIkYmJiZNfIzMzEm2++iUqVKiEsLAwDBw7E7du3ZcfExMRgwIABCAsLQ6VKlfDWW29BrVbLjjl48CBat26N0NBQPP300/jhhx9M6mvL7xKHJwCPHDkSZ8+exf3797Fv3z40b97csG/z5s3YvHmz7PgWLVpg//79uH//Ps6cOWP17L93797F3bt38fHHH+Pw4cNYtGgRDh8+jJdeesmkfmfOnMFvv/2G3377DWfOnJG1FiUlJaFPnz4ICQnB7t27MXPmTHz99deYP3++4ZioqCiMGDEC/fr1w4EDB9CvXz+8+OKLOHHihOGYr776CgsWLMCsWbOwe/duBAcHo0+fPkjOZypsR8me6PCNN97A/v370ahRI/Tr18/kF8KZHDx4EC+99BK2b9+ODRs2QKlUonfv3khISDAcY87zX1jvBXs6fvw4fvrpJ9SsWVO23Z3vPzExEZ06dYIkSVizZg2OHTuGzz77TDYy0p3v/8svv8SSJUswa9YsREVFYebMmfjuu+8wd+5ct7z/1NRU1KhRAzNnzoRvHtP6OtO92vpz/3H3npaWhtOnT2PSpEnYt28fVqxYgdu3b+O5556TBbZvv/02Nm7ciO+//x5btmxBcnIyBgwYAJ0ua+JCnU6HAQMGICUlBVu2bMH333+PDRs24N133zVcI3uC20aNGmH//v2YOHEi3nrrLaxfv95wjM2/SxITEyX+ZP2sWbNGEgRBunnzppSYmCgdO3ZMAiBt27bNcMzWrVslANLx48elxMREac6cOVKRIkWku3fvGo559913pdKlS0sJCQlSYmKi1KdPH6lNmzayx2rdurX07LPPSomJiVJCQoIUGhoqvffee4b9d+/elQICAqQvvvjC4c9L7p/69etLw4YNk22rVKmS9Prrrzu8bub+3Lp1SxJFUVq5cqXZz39hvRfs+RMdHS1VqFBB2rBhg9S8eXPp5Zdf9oj7nzhxotS4ceN897v7/Xfq1EkaOHCgbNvAgQOlTp06uf39+/v7SwsWLHDK19ren/vG957Xz9GjRyUA0qFDh6TExKzPCJVKJS1evNhwzLlz5yRBEKS1a9dKiYmJ0q+//ioJgiCdO3fOcMyiRYskb29vw3fnq6++KlWqVEn2WEOHDpUaNmxoKNv6u8ThLTPOJDk5Gd7e3vD7bzWyqKgoBAQEyBKSmzRpAn9/fxw7dsxwTNOmTWVRcPv27XH37l1ER0cDyPpruF27drLHat++veEa0dHRuHfvnuwYX19fNGvWzHCMM1Cr1Th16pTJvbRr186p6vkkKSkp0Ov1CAwMBGDe819Y7wV7eu2119CrVy+0atVKtt3d73/z5s2oX78+hg8fjipVqqBFixZYvHixoUvA3e+/SZMmOHjwIC79t5Lzv//+iwMHDuCZZ54B4P73n5sz3aszfO5ntwBlfxaeOnUKGo1GVqeyZcsiMjJSdu+RkZEoW7as4Zj27dsjMzMTp06dMhyT173//fff0Gg0dvkuYTDzn8TEREyfPh3Dhg2D8r+Vr+/fv4+goCAIudawEAQBJUuWNEzsl99Eftn7AODevXuPnRzw3r17svPyOsYZWDPRoTOaMmUKatWqhUaNGgEw7/kvrPeCvfz888+4du0a3nvvPZN97n7/N27cwPfff48KFSpg7dq1GDNmDD7++GN89913hjrlrmte9XLl+3/ttdcwYMAANG7cGCVLlkSTJk0waNAgjBw50lCn3HXNq16ufP+5OdO9OvpzX61W47333kPnzp1RpkwZAFl1VygUJlOdGD8/xnXOnmrlSc9P9gS39vgucehCk/Ywbdo02XIHedm4cSNatmxpKKekpGDQoEEoXbo0PvnkE3tXkRzonXfewdGjR7Ft2zYoFHkvOOduLl++jE8++QTbtm3zyCkM9Ho96tata1jv7emnn8a1a9ewZMkSjBo1ysG1s79169Zh1apVWLJkCapVq4azZ89iypQpCA8Px7BhwxxdPXIArVaLUaNG4dGjR1i5cqWjq2MTbhfMjB07Fv3793/sMbmbx1JSUtCvXz8AwOrVq+Hj42PYFxISgocPH0KSJEOULkkS4uLiDBP75TeRX/Y+AAgNDX3s5IChoaGGbblXC3/cBIKOYM1Eh87k7bffxrp167Bx40ZUqFDBsN2c57+w3gv2EBUVhYcPH6JJkyaGbTqdDocPH8YPP/yAo0ePGurhjvcfGhqKyMhI2baqVasaRkq6++v/wQcfYMKECXj22WcBADVr1kRMTAy++OILDBs2zO3vPzdnuldHfe5rtVq89NJLuHDhAjZt2oQSJUoY9oWEhECn0+Hhw4coWbKkrE5NmzY1HGPcFZTd0vKk5yd7gltJkmz+XeJ23UxBQUGoWrXqY3+yc2KSk5Px3HPPQa/XY82aNQgICJBdq1GjRkhJSUFUVJRhW1RUFFJTUw39qY0aNcKRI0eQkZFhOGbPnj0oXbo0ypcvDwBo2LDhYycHLF++PEJDQ2XHZGRk4MiRI/lOIOgI1kx06CwmT56MtWvXYsOGDahqtNK5Oc9/Yb0X7KFbt244fPgwDhw4YPipW7cunn32WRw4cABVqlRx6/tv0qQJrly5Itt25coVwxeIu7/+aWlpJq2QCoUCer0egPvff27OdK+O+NzXaDQYPnw4zp8/j40bNxoCqmx16tSBSqWS1en27du4ePGi7N4vXrwoG669Z88eeHt7o06dOoZjHjfBrT2+S9wumDFXcnIy+vbti8TERHzzzTdIS0vDvXv3cO/ePcN4+cjISHTo0AGvv/46oqKiEBUVhddffx2dOnVCREQEAOC5556Dr68vxo0bhwsXLmDDhg348ssvMW7cOENUP2bMGOzfvx9ffPEFLl26hLlz5+LAgQMYO3YsgKz+2LFjx+Krr77Chg0bcOHCBYwbNw7+/v547rnnHPME5eNJEx06o0mTJmHFihX47rvvEBgYaHidU1JSAJj3/BfWe8EeAgMDUaNGDdmPn58fihcvjho1arj9/Y8bNw7Hjx/H7Nmzce3aNfzxxx9YvHixIWfE3e+/c+fO+PLLL7F9+3ZER0dj48aNWLBgAbp37+6W95+SkoIzZ87gzJkz0Ov1uHXrFs6cOYOYmBinuld7fO4/7t61Wi1eeOEFnDhxAkuWLIEgCIbPwvT0dABAsWLFMHToUHz44YfYu3cvTp8+jdGjR6NmzZpo06YNgKwk3erVq2PMmDE4ffo09u7diw8++ADDhg1D0aJFAZg3wa3Nv0vsMRzOFX42btwoAcjzZ+PGjYbjbty4IfXv318qUqSIVKRIEal///7SjRs3ZNc6dOiQ1LRpU8nb21sKDQ2VpkyZYhiel/3z888/SxEREZJKpZKqVq0qLV26VLY/ISFBmjx5shQaGip5e3tLzZo1kw4fPuzw5ymvn9mzZ0vlypWTvLy8pKefflravHmzw+v0uJ/8XufJkydb9PwX1nuhMH5yD832hPtfvXq1VLNmTcnb21uqXLmyNHPmTFm93Pn+Y2JipDFjxkhly5aVfHx8pPLly0sTJ06UYmNj3fL+8/tsHzRokNPdq60/9x9376dPn873szD3EO579+5JL7/8slS8eHHJ19dX6tSpk2wYdmJionT27FmpU6dOkq+vr1S8eHFp1KhR0r1792THbNq0Sapdu7bk5eUlhYeHS3PnzjWpry2/S4TExET5lIVERERELsRju5mIiIjIPTCYISIiIpfGYIaIiIhcGoMZIiIicmkMZoiIiMilMZghIiIil8ZghoiIiFwagxkiIiJyaQxmiIiIyKX9H3R4PKkUE+D0AAAAAElFTkSuQmCC\n", "text/plain": [ "<Figure size 576x576 with 1 Axes>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 8))\n", "ax = sn.distplot(test_labels, hist=False, color=\"r\", label=\"Actual Value\")\n", "sn.distplot(predictions, hist=False, color=\"b\", label=\"Fitted Values\" , ax=ax)\n", "\n", "\n", "plt.title('Actual vs Fitted Values')\n", "\n", "\n", "plt.show()\n", "plt.close()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "papermill": { "default_parameters": {}, "duration": 96.962916, "end_time": "2021-08-07T19:28:13.738279", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2021-08-07T19:26:36.775363", "version": "2.3.3" } }, "nbformat": 4, "nbformat_minor": 5 }	0070/602/70602871.ipynb	s3://data-agents/kaggle-outputs/sharded/005_00070.jsonl.gz

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.