From 5a487cbb8365718dc7641171b4eb0cff9c1f0e37 Mon Sep 17 00:00:00 2001 From: Taraqur Date: Fri, 12 Aug 2022 00:54:18 -0400 Subject: [PATCH 1/5] read in bike data using Python --- Python/bike-sharing-dataset.ipynb | 601 ++++++++++++++++++++++++++++++ 1 file changed, 601 insertions(+) create mode 100644 Python/bike-sharing-dataset.ipynb diff --git a/Python/bike-sharing-dataset.ipynb b/Python/bike-sharing-dataset.ipynb new file mode 100644 index 000000000..36876f243 --- /dev/null +++ b/Python/bike-sharing-dataset.ipynb @@ -0,0 +1,601 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reading in the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
instantdtedayseasonyrmnthholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredcnt
012011-01-0110106020.3441670.3636250.8058330.160446331654985
122011-01-0210100020.3634780.3537390.6960870.248539131670801
232011-01-0310101110.1963640.1894050.4372730.24830912012291349
342011-01-0410102110.2000000.2121220.5904350.16029610814541562
452011-01-0510103110.2269570.2292700.4369570.1869008215181600
\n", + "
" + ], + "text/plain": [ + " instant dteday season yr mnth holiday weekday workingday \\\n", + "0 1 2011-01-01 1 0 1 0 6 0 \n", + "1 2 2011-01-02 1 0 1 0 0 0 \n", + "2 3 2011-01-03 1 0 1 0 1 1 \n", + "3 4 2011-01-04 1 0 1 0 2 1 \n", + "4 5 2011-01-05 1 0 1 0 3 1 \n", + "\n", + " weathersit temp atemp hum windspeed casual registered \\\n", + "0 2 0.344167 0.363625 0.805833 0.160446 331 654 \n", + "1 2 0.363478 0.353739 0.696087 0.248539 131 670 \n", + "2 1 0.196364 0.189405 0.437273 0.248309 120 1229 \n", + "3 1 0.200000 0.212122 0.590435 0.160296 108 1454 \n", + "4 1 0.226957 0.229270 0.436957 0.186900 82 1518 \n", + "\n", + " cnt \n", + "0 985 \n", + "1 801 \n", + "2 1349 \n", + "3 1562 \n", + "4 1600 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Reading in the data\n", + "\n", + "DIR = \"../data/\"\n", + "DATA = \"bike-sharing-daily.csv\"\n", + "day_bike_rentals = pd.read_csv(DIR+DATA)\n", + "day_bike_rentals.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Cleaning" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Categorical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# Label Lists\n", + "\n", + "weekdays = ['SUN', 'MON', 'TUE', 'WED', 'THU', 'FRI', 'SAT']\n", + "holidays = ['NO HOLIDAY', 'HOLIDAY']\n", + "working_day = ['NO WORKING DAY', 'WORKING DAY']\n", + "season = ['WINTER', 'SPRING', 'SUMMER', 'FALL']\n", + "weathersit = ['GOOD', 'MISTY', 'RAIN/SNOW/STORM']\n", + "months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC']" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "# Function to create a dictionary mapping index of list to the respective label\n", + "\n", + "def create_dictionary(label_list, start_at_zero=True):\n", + " d = {}\n", + " if start_at_zero:\n", + " for idx, val in enumerate(label_list):\n", + " d[idx] = val\n", + " else:\n", + " for idx, val in enumerate(label_list):\n", + " d[idx+1] = val\n", + " return d" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Mapping the indicies to actual labels\n", + "\n", + "day_bike_rentals['weekday'] = day_bike_rentals['weekday'].map(create_dictionary(weekdays))\n", + "day_bike_rentals['holiday'] = day_bike_rentals['holiday'].map(create_dictionary(holidays))\n", + "day_bike_rentals['workingday'] = day_bike_rentals['workingday'].map(create_dictionary(working_day))\n", + "day_bike_rentals['season'] = day_bike_rentals['season'].map(create_dictionary(season, start_at_zero=False))\n", + "day_bike_rentals['weathersit'] = day_bike_rentals['weathersit'].map(create_dictionary(weathersit, start_at_zero=False))\n", + "day_bike_rentals['mnth'] = day_bike_rentals['mnth'].map(create_dictionary(months, start_at_zero=False))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Numerical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "# Denormalizing the temperture\n", + "\n", + "# Function that denormalizes temperture\n", + "def inverse_min_max(row, tmin, tmax):\n", + " return row * (tmax - tmin) + tmin\n", + "\n", + "# t_min=-8, t_max=+39\n", + "day_bike_rentals['temp'] = day_bike_rentals['temp'].apply(inverse_min_max, args=(-8, 39))\n", + "\n", + "# t_min=-16, t_max=+50\n", + "day_bike_rentals['atemp'] = day_bike_rentals['atemp'].apply(inverse_min_max, args=(-16, 50))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "# DeNormalized wind speed. The values are divided by 67 (max)\n", + "\n", + "day_bike_rentals['windspeed'] = day_bike_rentals['windspeed'].apply(lambda row: row * 67)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "# Dormalized humidity. The values are divided by 100 (max)\n", + "\n", + "day_bike_rentals['hum'] = day_bike_rentals['hum'].apply(lambda row: row * 100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Temporal Features" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "# Processing time features\n", + "\n", + "day_bike_rentals['yr'] = day_bike_rentals['yr'].apply(lambda row: 2011 if row == 0 else 2012)\n", + "day_bike_rentals['dteday'] = pd.to_datetime(day_bike_rentals['dteday'])\n", + "day_bike_rentals['days_since_2011'] = (day_bike_rentals['dteday'] - day_bike_rentals['dteday'].min()).dt.days" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Processing" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "# Extracting only the needed features\n", + "\n", + "bike = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['season', 'mnth', 'holiday', 'weekday', 'workingday', 'weathersit']" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Collecting only the categorical features\n", + "\n", + "categorical_features = [col for col in bike.columns if bike[col].dtype == 'object']\n", + "categorical_features" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dummifying Categorical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['season', 'holiday', 'workingday', 'weathersit']" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Collecting all the features that needs to be dummified \n", + "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", + "sub_features" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
08.17584980.583310.74988298500011010
19.08346669.608716.65211380110011010
21.22910843.727316.636703134920011100
31.40000059.043510.739832156230011100
42.66697943.695712.522300160040011100
\n", + "
" + ], + "text/plain": [ + " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", + "0 8.175849 80.5833 10.749882 985 0 0 \n", + "1 9.083466 69.6087 16.652113 801 1 0 \n", + "2 1.229108 43.7273 16.636703 1349 2 0 \n", + "3 1.400000 59.0435 10.739832 1562 3 0 \n", + "4 2.666979 43.6957 12.522300 1600 4 0 \n", + "\n", + " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", + "0 0 1 1 0 \n", + "1 0 1 1 0 \n", + "2 0 1 1 1 \n", + "3 0 1 1 1 \n", + "4 0 1 1 1 \n", + "\n", + " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", + "0 1 0 \n", + "1 1 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Dummifying categorical features\n", + "bike = pd.concat([bike, pd.get_dummies(bike[sub_features], drop_first=True)], axis=1)\n", + "\n", + "# Dropping unnecessary columns\n", + "bike.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)\n", + "\n", + "# Viewing the result\n", + "bike.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.5 64-bit", + "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": "3.10.5" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 7186734d842e71dbaf082c0abb69acde2f1f328e Mon Sep 17 00:00:00 2001 From: Taraqur Date: Mon, 28 Nov 2022 14:10:54 -0500 Subject: [PATCH 2/5] organized python files --- Python/bike-sharing-dataset.ipynb | 601 ---- .../Chapter5-interpretable_models.ipynb | 704 +++++ .../preprocess_bike_data.cpython-310.pyc | Bin 0 -> 2413 bytes .../bike_sharing_preprocessing.ipynb | 2720 +++++++++++++++++ Python/bike-sharing/preprocess_bike_data.py | 70 + .../cervical_cancer_data.ipynb | 733 +++++ 6 files changed, 4227 insertions(+), 601 deletions(-) delete mode 100644 Python/bike-sharing-dataset.ipynb create mode 100644 Python/bike-sharing/Chapter5-interpretable_models.ipynb create mode 100644 Python/bike-sharing/__pycache__/preprocess_bike_data.cpython-310.pyc create mode 100644 Python/bike-sharing/bike_sharing_preprocessing.ipynb create mode 100644 Python/bike-sharing/preprocess_bike_data.py create mode 100644 Python/cervical-cancer/cervical_cancer_data.ipynb diff --git a/Python/bike-sharing-dataset.ipynb b/Python/bike-sharing-dataset.ipynb deleted file mode 100644 index 36876f243..000000000 --- a/Python/bike-sharing-dataset.ipynb +++ /dev/null @@ -1,601 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Imports" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports\n", - "\n", - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Reading in the Data" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
instantdtedayseasonyrmnthholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredcnt
012011-01-0110106020.3441670.3636250.8058330.160446331654985
122011-01-0210100020.3634780.3537390.6960870.248539131670801
232011-01-0310101110.1963640.1894050.4372730.24830912012291349
342011-01-0410102110.2000000.2121220.5904350.16029610814541562
452011-01-0510103110.2269570.2292700.4369570.1869008215181600
\n", - "
" - ], - "text/plain": [ - " instant dteday season yr mnth holiday weekday workingday \\\n", - "0 1 2011-01-01 1 0 1 0 6 0 \n", - "1 2 2011-01-02 1 0 1 0 0 0 \n", - "2 3 2011-01-03 1 0 1 0 1 1 \n", - "3 4 2011-01-04 1 0 1 0 2 1 \n", - "4 5 2011-01-05 1 0 1 0 3 1 \n", - "\n", - " weathersit temp atemp hum windspeed casual registered \\\n", - "0 2 0.344167 0.363625 0.805833 0.160446 331 654 \n", - "1 2 0.363478 0.353739 0.696087 0.248539 131 670 \n", - "2 1 0.196364 0.189405 0.437273 0.248309 120 1229 \n", - "3 1 0.200000 0.212122 0.590435 0.160296 108 1454 \n", - "4 1 0.226957 0.229270 0.436957 0.186900 82 1518 \n", - "\n", - " cnt \n", - "0 985 \n", - "1 801 \n", - "2 1349 \n", - "3 1562 \n", - "4 1600 " - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Reading in the data\n", - "\n", - "DIR = \"../data/\"\n", - "DATA = \"bike-sharing-daily.csv\"\n", - "day_bike_rentals = pd.read_csv(DIR+DATA)\n", - "day_bike_rentals.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Cleaning" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Categorical Features" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "# Label Lists\n", - "\n", - "weekdays = ['SUN', 'MON', 'TUE', 'WED', 'THU', 'FRI', 'SAT']\n", - "holidays = ['NO HOLIDAY', 'HOLIDAY']\n", - "working_day = ['NO WORKING DAY', 'WORKING DAY']\n", - "season = ['WINTER', 'SPRING', 'SUMMER', 'FALL']\n", - "weathersit = ['GOOD', 'MISTY', 'RAIN/SNOW/STORM']\n", - "months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC']" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# Function to create a dictionary mapping index of list to the respective label\n", - "\n", - "def create_dictionary(label_list, start_at_zero=True):\n", - " d = {}\n", - " if start_at_zero:\n", - " for idx, val in enumerate(label_list):\n", - " d[idx] = val\n", - " else:\n", - " for idx, val in enumerate(label_list):\n", - " d[idx+1] = val\n", - " return d" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# Mapping the indicies to actual labels\n", - "\n", - "day_bike_rentals['weekday'] = day_bike_rentals['weekday'].map(create_dictionary(weekdays))\n", - "day_bike_rentals['holiday'] = day_bike_rentals['holiday'].map(create_dictionary(holidays))\n", - "day_bike_rentals['workingday'] = day_bike_rentals['workingday'].map(create_dictionary(working_day))\n", - "day_bike_rentals['season'] = day_bike_rentals['season'].map(create_dictionary(season, start_at_zero=False))\n", - "day_bike_rentals['weathersit'] = day_bike_rentals['weathersit'].map(create_dictionary(weathersit, start_at_zero=False))\n", - "day_bike_rentals['mnth'] = day_bike_rentals['mnth'].map(create_dictionary(months, start_at_zero=False))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Numerical Features" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "# Denormalizing the temperture\n", - "\n", - "# Function that denormalizes temperture\n", - "def inverse_min_max(row, tmin, tmax):\n", - " return row * (tmax - tmin) + tmin\n", - "\n", - "# t_min=-8, t_max=+39\n", - "day_bike_rentals['temp'] = day_bike_rentals['temp'].apply(inverse_min_max, args=(-8, 39))\n", - "\n", - "# t_min=-16, t_max=+50\n", - "day_bike_rentals['atemp'] = day_bike_rentals['atemp'].apply(inverse_min_max, args=(-16, 50))" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# DeNormalized wind speed. The values are divided by 67 (max)\n", - "\n", - "day_bike_rentals['windspeed'] = day_bike_rentals['windspeed'].apply(lambda row: row * 67)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "# Dormalized humidity. The values are divided by 100 (max)\n", - "\n", - "day_bike_rentals['hum'] = day_bike_rentals['hum'].apply(lambda row: row * 100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Temporal Features" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "# Processing time features\n", - "\n", - "day_bike_rentals['yr'] = day_bike_rentals['yr'].apply(lambda row: 2011 if row == 0 else 2012)\n", - "day_bike_rentals['dteday'] = pd.to_datetime(day_bike_rentals['dteday'])\n", - "day_bike_rentals['days_since_2011'] = (day_bike_rentals['dteday'] - day_bike_rentals['dteday'].min()).dt.days" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Processing" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# Extracting only the needed features\n", - "\n", - "bike = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]]" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['season', 'mnth', 'holiday', 'weekday', 'workingday', 'weathersit']" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Collecting only the categorical features\n", - "\n", - "categorical_features = [col for col in bike.columns if bike[col].dtype == 'object']\n", - "categorical_features" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Dummifying Categorical Features" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['season', 'holiday', 'workingday', 'weathersit']" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Collecting all the features that needs to be dummified \n", - "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", - "sub_features" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
08.17584980.583310.74988298500011010
19.08346669.608716.65211380110011010
21.22910843.727316.636703134920011100
31.40000059.043510.739832156230011100
42.66697943.695712.522300160040011100
\n", - "
" - ], - "text/plain": [ - " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", - "0 8.175849 80.5833 10.749882 985 0 0 \n", - "1 9.083466 69.6087 16.652113 801 1 0 \n", - "2 1.229108 43.7273 16.636703 1349 2 0 \n", - "3 1.400000 59.0435 10.739832 1562 3 0 \n", - "4 2.666979 43.6957 12.522300 1600 4 0 \n", - "\n", - " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", - "0 0 1 1 0 \n", - "1 0 1 1 0 \n", - "2 0 1 1 1 \n", - "3 0 1 1 1 \n", - "4 0 1 1 1 \n", - "\n", - " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", - "0 1 0 \n", - "1 1 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 " - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Dummifying categorical features\n", - "bike = pd.concat([bike, pd.get_dummies(bike[sub_features], drop_first=True)], axis=1)\n", - "\n", - "# Dropping unnecessary columns\n", - "bike.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)\n", - "\n", - "# Viewing the result\n", - "bike.head()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 64-bit", - "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": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Python/bike-sharing/Chapter5-interpretable_models.ipynb b/Python/bike-sharing/Chapter5-interpretable_models.ipynb new file mode 100644 index 000000000..be905f566 --- /dev/null +++ b/Python/bike-sharing/Chapter5-interpretable_models.ipynb @@ -0,0 +1,704 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chapter 5: Interpretable Models" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "from preprocess_bike_data import data_pipeline\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reading in the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
seasonyrmnthholidayweekdayworkingdayweathersittemphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
0WINTER2011JANNO HOLIDAYSATNO WORKING DAYMISTY8.17584980.583310.74988298500011010
1WINTER2011JANNO HOLIDAYSUNNO WORKING DAYMISTY9.08346669.608716.65211380110011010
2WINTER2011JANNO HOLIDAYMONWORKING DAYGOOD1.22910843.727316.636703134920011100
3WINTER2011JANNO HOLIDAYTUEWORKING DAYGOOD1.40000059.043510.739832156230011100
4WINTER2011JANNO HOLIDAYWEDWORKING DAYGOOD2.66697943.695712.522300160040011100
\n", + "
" + ], + "text/plain": [ + " season yr mnth holiday weekday workingday weathersit temp \\\n", + "0 WINTER 2011 JAN NO HOLIDAY SAT NO WORKING DAY MISTY 8.175849 \n", + "1 WINTER 2011 JAN NO HOLIDAY SUN NO WORKING DAY MISTY 9.083466 \n", + "2 WINTER 2011 JAN NO HOLIDAY MON WORKING DAY GOOD 1.229108 \n", + "3 WINTER 2011 JAN NO HOLIDAY TUE WORKING DAY GOOD 1.400000 \n", + "4 WINTER 2011 JAN NO HOLIDAY WED WORKING DAY GOOD 2.666979 \n", + "\n", + " hum windspeed cnt days_since_2011 season_SPRING season_SUMMER \\\n", + "0 80.5833 10.749882 985 0 0 0 \n", + "1 69.6087 16.652113 801 1 0 0 \n", + "2 43.7273 16.636703 1349 2 0 0 \n", + "3 59.0435 10.739832 1562 3 0 0 \n", + "4 43.6957 12.522300 1600 4 0 0 \n", + "\n", + " season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", + "0 1 1 0 \n", + "1 1 1 0 \n", + "2 1 1 1 \n", + "3 1 1 1 \n", + "4 1 1 1 \n", + "\n", + " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", + "0 1 0 \n", + "1 1 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = data_pipeline()\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dropping Some Columns" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
08.17584980.583310.74988298500011010
19.08346669.608716.65211380110011010
21.22910843.727316.636703134920011100
31.40000059.043510.739832156230011100
42.66697943.695712.522300160040011100
\n", + "
" + ], + "text/plain": [ + " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", + "0 8.175849 80.5833 10.749882 985 0 0 \n", + "1 9.083466 69.6087 16.652113 801 1 0 \n", + "2 1.229108 43.7273 16.636703 1349 2 0 \n", + "3 1.400000 59.0435 10.739832 1562 3 0 \n", + "4 2.666979 43.6957 12.522300 1600 4 0 \n", + "\n", + " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", + "0 0 1 1 0 \n", + "1 0 1 1 0 \n", + "2 0 1 1 1 \n", + "3 0 1 1 1 \n", + "4 0 1 1 1 \n", + "\n", + " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", + "0 1 0 \n", + "1 1 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", + "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modeling" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Establishing Features and Target" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "features = [col for col in df.columns if col != 'cnt']\n", + "target = 'cnt'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "temp 116.665202\n", + "hum -3.993832\n", + "windspeed -22.850772\n", + "days_since_2011 5.287075\n", + "season_SPRING 587.996465\n", + "season_SUMMER -237.651230\n", + "season_WINTER -166.550381\n", + "holiday_NO HOLIDAY 1472.214874\n", + "workingday_WORKING DAY 129.406767\n", + "weathersit_MISTY -552.965982\n", + "weathersit_RAIN/SNOW/STORM -2278.483205\n", + "dtype: float64" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import statsmodels.api as sm\n", + "\n", + "model = sm.OLS(df['cnt'], df[features])\n", + "results = model.fit()\n", + "results.params" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: cnt R-squared (uncentered): 0.966
Model: OLS Adj. R-squared (uncentered): 0.965
Method: Least Squares F-statistic: 1851.
Date: Sun, 27 Nov 2022 Prob (F-statistic): 0.00
Time: 23:02:09 Log-Likelihood: -6014.8
No. Observations: 731 AIC: 1.205e+04
Df Residuals: 720 BIC: 1.210e+04
Df Model: 11
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
temp 116.6652 7.192 16.222 0.000 102.545 130.785
hum -3.9938 2.518 -1.586 0.113 -8.938 0.950
windspeed -22.8508 6.407 -3.567 0.000 -35.429 -10.273
days_since_2011 5.2871 0.169 31.303 0.000 4.955 5.619
season_SPRING 587.9965 111.794 5.260 0.000 368.515 807.478
season_SUMMER -237.6512 137.968 -1.723 0.085 -508.519 33.217
season_WINTER -166.5504 106.786 -1.560 0.119 -376.200 43.099
holiday_NO HOLIDAY 1472.2149 170.158 8.652 0.000 1138.150 1806.280
workingday_WORKING DAY 129.4068 75.424 1.716 0.087 -18.671 277.485
weathersit_MISTY -552.9660 86.025 -6.428 0.000 -721.857 -384.075
weathersit_RAIN/SNOW/STORM -2278.4832 222.697 -10.231 0.000 -2715.696 -1841.271
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 91.953 Durbin-Watson: 1.007
Prob(Omnibus): 0.000 Jarque-Bera (JB): 201.146
Skew: -0.713 Prob(JB): 2.10e-44
Kurtosis: 5.138 Cond. No. 2.88e+03


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.88e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "=======================================================================================\n", + "Dep. Variable: cnt R-squared (uncentered): 0.966\n", + "Model: OLS Adj. R-squared (uncentered): 0.965\n", + "Method: Least Squares F-statistic: 1851.\n", + "Date: Sun, 27 Nov 2022 Prob (F-statistic): 0.00\n", + "Time: 23:02:09 Log-Likelihood: -6014.8\n", + "No. Observations: 731 AIC: 1.205e+04\n", + "Df Residuals: 720 BIC: 1.210e+04\n", + "Df Model: 11 \n", + "Covariance Type: nonrobust \n", + "==============================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "----------------------------------------------------------------------------------------------\n", + "temp 116.6652 7.192 16.222 0.000 102.545 130.785\n", + "hum -3.9938 2.518 -1.586 0.113 -8.938 0.950\n", + "windspeed -22.8508 6.407 -3.567 0.000 -35.429 -10.273\n", + "days_since_2011 5.2871 0.169 31.303 0.000 4.955 5.619\n", + "season_SPRING 587.9965 111.794 5.260 0.000 368.515 807.478\n", + "season_SUMMER -237.6512 137.968 -1.723 0.085 -508.519 33.217\n", + "season_WINTER -166.5504 106.786 -1.560 0.119 -376.200 43.099\n", + "holiday_NO HOLIDAY 1472.2149 170.158 8.652 0.000 1138.150 1806.280\n", + "workingday_WORKING DAY 129.4068 75.424 1.716 0.087 -18.671 277.485\n", + "weathersit_MISTY -552.9660 86.025 -6.428 0.000 -721.857 -384.075\n", + "weathersit_RAIN/SNOW/STORM -2278.4832 222.697 -10.231 0.000 -2715.696 -1841.271\n", + "==============================================================================\n", + "Omnibus: 91.953 Durbin-Watson: 1.007\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 201.146\n", + "Skew: -0.713 Prob(JB): 2.10e-44\n", + "Kurtosis: 5.138 Cond. No. 2.88e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] R² is computed without centering (uncentered) since the model does not contain a constant.\n", + "[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[3] The condition number is large, 2.88e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Weight Plot for Coefficients" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Extracting and storing the coefficients and standard errors in a dictionary\n", + "coef = results.params.to_dict()\n", + "std_error = results.bse.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Converting the dictionary into Dataframe\n", + "\n", + "for key, val in coef.items():\n", + " coef[key] = [val]\n", + "\n", + "t = pd.DataFrame(coef).T\n", + "t['std_error'] = t.index.map(std_error)\n", + "t.columns = ['coefficients', 'std_error']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAACLwAAAQICAYAAAANnlCeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd7hdZZn38e+dhDQSWggJEkRBYESaFIcaA2qwKxYUBQEdB3UsiGUcGxZsY4HRcUaaoCj6IoqiokTEGEKRXoK0oSihBAISEkhCSO73j7U2e7Oz2zk5J/vsk+/nuva1V3nWs55dc3LW79xPZCaSJEmSJEmSJEmSJElSrxjR7QFIkiRJkiRJkiRJkiRJfWHgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9RQDL5IkSZIkSZIkSZIkSeopBl4kSZIkSZIkSZIkSZLUUwy8SJIkSZIkSZIkSZIkqacYeJEkSZIkSZIkSZIkSVJPMfAiSZIkSZIkSZIkSZKknmLgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9RQDL5IkSZIkSZIkSZIkSeopBl4kSZIkSZIkSZIkSZLUUwy8SJIkSZIkSZIkSZIkqacYeJEkSZIkSZIkSZIkSVJPGdXtAUiSpLUjIsYAO5WrDwEruzgcSZIkSZIkSZIkrRtGApPL5Rszc/lAdGrgRZKkdcdOwJXdHoQkSZIkSZIkSZLWWXsCVw1ER05pJEmSJEmSJEmSJEmSpJ5ihRdJktYdD1UWrrjiCjbffPNujkXSELN06VLmzJkDwPTp0xk3blyXRyRJWhN+r0vSMPLww7Drrs/cdt11MGlSN0YjSRog/swuaV1y//3386IXvaiy+lCrtn1h4EWSpHXHysrC5ptvzrRp07o5FklDzNKlS9l0000BmDZtmr9kkaQe5/e6JA0jY8asvu1Zz4LJk9f+WCRJA8af2SWtw1a2b9IZpzSSJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9ZVS3ByBJkiRJkiRJkpoYPZqVBx/MAwsWADB1yhRGjh7d5UFJkiRJ3WfgRZIkSZIkSZKkoWrDDXnyxz/mqlmzAJg5cybjxo3r8qAkSZKk7nNKI0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTxnV7QFIkiRJkiRJkqQmFi1i9FFHsceCBQCM/sEP4PTTYcMNuzwwSZIkqbsMvEiSJEmSJEmSNFQ9+SQjzz2XLWq3nXRSt0YjSZIkDRlOabSOi4i7IyIj4oxuj2VtiIjnlI83I+LIbo9HkiRJkiRJkiRJkiT1nYEXaS2LiM/VhG5qb6si4rGIuDUifhQRB/Wj7yNq+lsZEdM6PO7IVkGguqBQRsTlfXycz+mg/T414960bl9ExGsj4icRcXtELImIpyLi0YiYFxE/i4iPRcQuHTy+jIivdTCe2WXbu9u1LdvvEhFfiYgrI+KBiHgyIhZExNUR8bWI2LXN8d+tGd/ObdqeUNN2Tpu2YyJiadn2L23aDuhrEBEzmrzX+3K7u8V4t4mIz0bEJRFxb0Qsj4iFEXFDRHw7IvZv9Xhr+pnd5NwrI+KR8jX8r4h4QQd91X++L+pwDPvWn7+T46Res3jZCm5fsJjr7nmU2xcsZvGyFd0ekiRJkiRJkiRJ6lFOaTQMRVGt5Qjgb5n5nO6OpreUYY/Ty9XnZubda/P0wMTyth3w9oj4BfC2zFzeYR9H1CyPAA4Dvjqgoyz8c0S8KjN/O4B9vqa8vywzF1Y2RsQU4BxgvwbHbFjeXgC8CfjPiHh+Zt7S5lz/FhHfzMwH13TQEbER8G2K5zrqdm9W3nYDPhYRPwY+kJmPNujqYuB95fL+wA0tTlsb5HhRRIxp8R7ZExhbLrcMx7B2X4N+i4gxFO/rfwPWq9s9qbztBHwgIs4Hjs7M+f041Qhg4/K2G8X75tOZ2ZfP1IsjYloH5z+8H+OTekJmctmdD3PmZX9j1l8XsHJVNc81ckRw0AumcNheW7H31pOIqP8alSRJkiQxfjwrPvlJ7rjjDgC22WYb1hs/vsuDkiRJkrrPwIvWKWWAZShdTXsncGW5PALYEtgH+DAwDngD8C2KC/stRcSWwIxydQkwgeIi+mAEXgC+AAxG4OXXlQ0RMRr4A0V4AeBaikDSdcBiYAPg+cB04FUUwYtOrA98Ajh2TQYcEZsDF9SM717g+8BcYCFF8GI/itd5GkUoZpeIOCgz76/rrjaMsj/w3SbnnAjsWq6uBMZQhFrmNhlmbTim08DLQL0GV9YcV+9ZFM8dwK+ATzdp92TtSvn4fwUcUG56BDgD+COwoDz/HhTP+fbAK4HLImJmZt7c5By1asc7GtgaeD3wdmAk8JWIuCMzf9ZBX8sowkZvB5pWFSqf40PqjpGGhXn3LuLYs6/jtgVLGu5fuSo5/8YHOP/GB9huygS+dciu7LhFp1/lkiRJkrSOWH99nvr0p7l11iwAtpo5k/XGjevyoCRJkqTuM/AiddddmTmvZv0G4LcRcQ5wBcVn9F8j4ouZ+UCbvg6nCPOsAD4KfA/YISL2yMyrBnDMC4FNgd0i4uDMPHdNO4yI51JUCIGasAXwbqoBhNOBf8nMVXWHzwFOKqt+HAo82uZ0lfG/NyK+3iB40umYRwE/rxnfT4F3Z2b9Vd0/RMTXgVOAt5btz4mI6Zm5stIoM++LiDuAbXhmSKXePhTBi0eAq4CZFGGTdoGXVS3aDMprkJmPA/NoICJqn6dH6z4HrZxGNezyJ+CtDSr1XBQRJ1CEvY6lCBv9OiJemJmLW3XeYBzXULxef6Go5ANwHNBJ4OU8iiDL4bQIvACvpqgis4wiBPS6DvqWhryLb3+Io8+8mieeXNm+MXDbgiUcctJlnHT47uy/7eRBHp0kSZIkSZIkSep1I7o9AEmry8xrKQIUUIReZnRwWGVKlN8BPwAWlevvGNDBFdU0HiqXPxcDM/9EpbLInZn515rtlQv/TwHHNghaPC0zl2fmGR0Eg75e3o8FPtmv0RaOBfYul38PHNYg7FIZ2xKK6i6Viib70Li6zMXl/bMiYpsm560EWC6tad8wIBMRI8pzAczLzH806RPW7mvQLxFxCPDmcvV64NXNpqXKzBWZ+RHg1HLTNqxZtaPvAn8vl18QEVM7OOaHNe1f2KJd5bP7a9oHtqSeMO/eRX0Ku1Q88eRKjj7zaubdu6h9Y0mSJEmSJEmStE5b5wIvEfGbiMiIuLzJ/hnl/oyIR8oLxvVtpta0eU+D/SMj4ojyXPdFxPKIeDgi5kbEsRHRtN5kRIyIiAMj4hsRcUlELIyIFRHxaERcV25/dpNjPxcRCRxRbtqqZpxP39o8P9tHxCkRcXc57gURcW5E7NXquJrjnxcRJ0TEjRGxKCKWRsSdEXFGROzR4rja531G+Ty8MyL+VI5hVUScUXfM7hFxWkTcFhGPR8SyiLgnIq6OiO9GxGvrwxgR8Zya8xxZf36KChYVdzV4/mZ08jwMkBtrlrds1TAiXgT8U7n6o8xcBpxTrr81ItYbwHE9TjU4sDPVAMKaeHV5/5u67ZX3+sLMfHQAzgNF5ZxKBZN3l1NB9Uk5Bc2Hy9XlwNG11VoaKff/a9ke4MNlP7XqpzVqpLL9YqoVW/Zp9F1F8fpU5gZpN53R2nwN+usTNcv/mplPdHDMRyimOgJ4Z0T0q2xEGfS5qWZTJ++bmyimgIJqqOUZImISxbRLAGf2Z2zSUJOZHHv2dX0Ou1Q88eRKPnL29WS2/JFFkiRJkiRJkiSt49a5wAvw5/J+94iY0GD/i2uWN6a4YNyqzezaHWUY5WqKKhivAjYHRgObAPsC3wRuiIjtmozvs8AfKS7S7gNMoqjwsSGwS7n95og4uMnx/Vb2eQ3wL8BW5bg3A14PzI2It7Q5/qPAX4FjgB2BDSiqaDyXIoRzRUR8oYOhjKWohHEaRWWTzSim6qk914cpggvvBLYFxgNjKKYu2Q14H/ArYP0OzjdUPVmzvKJN20oVl0VUwxw/Ku8nA68YwHEB/C9QmQroc03CFh2JiIlUP1O/rttdeQ6mRMQm/T1HA8cBSfGe+XQ/jn85UKnw8YvM/HurxhVlu8oUUJuX/dSqDaVMrz++nDLoReXqXOAvFO+NDYBdG5yyNjTTNPDSpdegTyJiZ6BSJeWyzLyik+My8zGqQbaxFFMu9VdfPpMVlRDLoRExssH+t1B81y6kqBQk9bzL7nyY2xY0LHjVsVsXLObyOx8ZoBFJkiRJkiRJkqThaFS3B9AFs8v7UcB+rH6BcUaD9euatFmQmbdUNpZ/qT+X4i//lwOnUARs7gYmADOBDwHPA34XEbtlZn3N/lEUQYJzgcuAO4FlZZ/7UAQ5JgBnlcffXHPs/1BU9TieYhqS+4CDVn8KGtqJ4sLr/RShnKsoQiYHUVRVGAucHBEXZeZD9QdHxMeA/yxXb6AIRNxOMT3H9sD7KaZ/+UxELMzMb7cYy9cogkbnUQSH/gZMobioX7nw/Q2KwNZdwH9TvEaPABPL8x1AdSqWTlxZPgevo3j+KB/7fXXt7upDn2vq+TXLdzdrVFZveWu5+vOyugsU7717KN4776B4PgdEZi6NiK8A3y7H+TaqAZu+Oojigv9jVANpFddQvC4BnBIRRzSbNqgvMvPaiDgXeANwVER8NTP78trWhlHqAyLtnEf19dqfmtclM++IiPuAZ9G4wsueFJ/FZcBVmflkRFwD/HPZ/pq69h0FXujCa9APa/qcV6rD7E/xvu2P2s/k3zo85iyKabSmAi9j9X9zKpVffpqZK2JAZgjTYHl4yfL2jcRpcwfmn8rT5t7JdlMaZZNVa9KEMd0egiRJkiRJkiRJXbEuBl6uARZTBCNmUHPxsayeUJm659fAa8o2J9b1UamEUH9h+NsU4YK/AQc0uIA+OyJ+RjEVydbAx4FP1bU5Ffh8ZtZXD7gG+FVEfAe4HNgC+CQ102Rk5oPAgxHxaLlpRWbOozO7UVSmObCsiFBxeUT8H0WYYQPgMOCE2gMjYgfgS+Xq58vx185DcHVE/BT4QXn8lyLizMz8R5Ox7Awcn5mfabL/TRRhl8eBvTNzQd3+i4FTI2JDoJMpT8jMx4F5ddMu3ZaZd3dy/EArp9l5e7n6KHBhi+avoqgEBDWhk8zMiDgL+Hfg1RGxcYvnvD9OpngPTwM+GxE/aTetTxOvKe9nNXjf/w/Fe3wERTjlwIj4NcVr/Bfgpn6eE4oqLwcD6wGfoagW1KldapbrQybt1LbfpcH+iynCZ8+LiKmZ+UDNvkqA5YrMrFQbmUs18PJfdX1V2t/W4HNSq1uvQV+syXN+HbCK4jE0es7biog3AJXKXH/s9LOUmQsiYhZFlaXDeea/Oc+j+m/OD/szrgbjnNamSaUyEUuXLmXp0qUDcdp1xu7HX9TtIaxTLrz5QXY/vtU/fwK4+bgDB6yvZcuWNVyWJPUmv9claRh55BFGv+QlHPBE8avO0ePHs/SPf4RNulaMV5I0APyZXdK6ZLCuSa1zgZfMXBkRcykuPs6o2/3PFNUTFlGEOl4DTI+IEZm5CiAiNqP6V/5PB14i4jkUF6kB3t+sWkRZWeK7FEGBI6kLvLQLWGTm/Ij4OkUI57UREXXhkjXxzrqwS8VZFNVbKlUnTqjb/xGK0MBVrB52qYx7VUR8AHgzRYWaN1FUwGnkNuBzLcZZuWDb8iJ+g+o5Q1o5LdA0ispDX6E6HdNn2lTUqExnNJ+6KbYoplP5d4qpe94CfG+gxpuZyyPiSxTVfLYtx3F666OeqXzMlemWVqvakZlXRMTRFKGL9YCNKEIDlaDX4xFxKfAz4KwyuNTp+OdFxNkUz8s7IuIrmXl7h4dvWrP8QNNWjdW+Zyc12D+H6nfJ/hSPjZp1KEIu1Cx/hOJ987QyTFH5rLSazqhrr0Ef9fs5LysSLaaYGq7Rc95QRIymCCceTHXqqydYPajYzpkUz/HrI2JCzee58hzemplX9rHPZu7ptOGcOXPYdNNN2zdUjXXuxyb1gFmzZg1Kv3PmtCoMJknqNX6vS1JvG71oEa+49dai/HVp9h//yJMbbti1MUmSBpY/s0sa7hYuXDgo/Y4YlF6HvkpQZfeIqK2VX6ncMhe4FFgKbExRcaS+DTwzXPAqYCTFxdDftTl/5V+tZ0XEs1s1jIgNIuK5EfGCiNgxInakWrVkA+C5bc7VqRsz84ZGO8oAy7Xl6tYNmlSqQ/y8VfgmMx8FbixX924xlv/XpmLE/eX9DhHxohbtesGfIiIjIoGVFNWBfgw8m2I6pX/JzP9udnBEbELx3oMibPCM5z8zb6I6JdfhDLzTqE639JlyeqW+2AuYTFF94/xGDTLzVIopdU6nqM5Ua32KaWJOBm6PiJf38fyfK889kqLiS6cm1iz3dXqf2vYbNNhf+1Pt09P4lMGUfcvV+sALwJSI2L5me6fTGXX7NejUmjzntcc0es6fVvk8lp/J5cDNwJeB8RSVZWZm5l/6eO5fUjxv4ymq5FQcVt6f2cf+JEmSJEmSJEmSpHXeuvqnyrPL+1EUVREqU0zMqOwvq1dcDhxQbr+urs1DmfnXmj4rU+GMB56KiE7HMhX4e+2GiNgK+ChFkGSrNsdvCtzZ6clauKXN/kfK+9qLzpWxTi5XvxIRX+nwfFNb7GsYvKnxE+A/KKqWXBIRvwd+S3Hh/6YBrHjTbb+jCL+0cigwulz+UZM2PwJ2BfaJiG0y846BGR5k5oqI+CJF8OW5FNMCndSHLiphqcsys2msLzNvBd5ZVhrZgyKksTtFAK0yhcvmwG8i4uWZ2dEcGJl5S0T8mCIMdGhEfCkzb+7g0NrQxwSKqlCdqg3ZNaqodBPF520Tnhla2YUirLGKIpAHQGYujIhbgH8q299a7qo99uIW4+nqa9AH9c95X1WOafScd+JJ4LTMvKSvB5YVZs4BjqJ4r/0wIvajCBAmzT+7/bFlm/1TgSsBpk+fzrRp7WZA0jNc5pRGGnpmzpw5YH0tW7bs6b8mmj59OmPHjh2wviVJa5/f65I0jDz00GqbZsyYAZMnr95WktQz/Jld0rpk/vz5g9Lvuhp4uZrir/0nUARYfl9OXVGpOjK75r4SeDmx3Fap8PL0dEalzfo5lvG1KxHxCuCc+u0tjOvnees90Wb/qvJ+ZN32AXncdf7R6sAypHAoxZRIGwOvLm8AC8sAzMmZ2eoi/1DxTsqLzxSv5fOAoyneZ+8CpkbEa1qEeCrTGd2QmTc2aXMW8DWK1+4d9K2SSSd+SBFAeh7wqYg4IzOXd3hsJWzxm04aZ+YK4LLyBkBEHAh8G3gBxWP8n4jYvg/Bp89TBIdGUVR8eUvL1oXaYMhU+hZ4mVKz/HD9zszMctq11wI7RcSG5fRclQDLjQ2m65pLNfByarmt0v6eNlOlDYXXoBP1z/n1nR4YEeOohvVWe87r7FSzXKnw9WFgG+C7EbF+Zn6903PXOJMi8HJgRGxBteLSnMz8Wz/6aygzW/60UBvGHDduHOPGDdQ/IeuGqz/90m4PYchbsvwpDvjGbFYNwKd/ZMBFH53BhDHr6o+rnRk3bsyg9Dt27Fi/IyRpGPF7XZJ6XIPv8HHjxjXcLknqTf7MLmm4G6zvuHXyCkJmPhURlwAHUa3YsidF4GAR1el7KqGW6eV0IpsAO9Ttq6gEQRZShGQ6dVdlISI2pQgnjKcI5HwDuAC4A1iUmU+W7Q4E/lg5rA/nGgy1AZgvAD/r8LjHW+xrNZ0RAJn584i4kCKccBDFxf3JFBVvDgMOi4gfAO/MzFXNe+q6uzJzXs36lRHxU4qKKUdRTFd0DHBC/YHl9DWVKZ12LqdgaeewiPjcQAYRys/TFyiCL1sC7waaTsNUERHPoQhIAPx6Dc5/UUS8DJhH8RndlqKizbWtjqs5/o6I+CFF+OjNEXF8i/BQxQ1A5cr3C6lWVenEbjXLzUIbcygCLyMoqlD9lur0RnMbtJ8L/EulTURMpQggVfpqaKi8Bh2qrfz0Qorvxk7tSnUKv5ZBmbrPI8DF5ftjLkX45csRMTszr1z96JZmA/dQfEaOAg4ptzudUQ+ZNGFwggXDyaQJY3j5jlM5/8YH1rivl++4OVtNWn8ARiVJkiRJkiRJkoajEe2bDFuVwMruEVGp9AIwNzMrgYvLgWVU/8r/xVQDJrPr+qtUDZgI3JyZ8zq81QY/3gRsVC4fnJmfz8zLM/OhStiltEn/H/aAq62WsKIPj/uupj12KDMXZebJmfnGzNyMIoz0H8B9ZZMjgA+s6XnWtjKM8n6qU10dFxGNXvN3NNjWztYUAYqBdhbVabE+GRGd1N2rVBa5KzNvWpOTZ+b9FKGQiuc1a9vEF4EVFJ/vL3TQvjZE8to+nqu2fbMwSu32SqWWyuvWqHJRJQTznIiYRjUc0+ocMLReg3YG+zlvKjMXU3zeVlEERb/Zjz5qpy76FMV3/TI6DwlKPeOwvdrNxrh2+5EkSZIkSZIkScPTuhx4mV3ej6K4kPziuu2U07JcXq7OqGmzEKi/OFypZDAG2KOfY6pUWngkMy9s0a5d/wM5jUg7d1KdzmXftXje1WTmzZn5VWAvqhVkDmlxSMNuBnZU/ZOZT1ANXmwIfLx2fxTzkhxWrt5AMSVPq9vbKC6uQ/+CMu3Gu5JiOiCAzYH3dnBYJWzR78oide6rWe7T61hO+XNaufr6iNitRXOA3wMLyuWDy5BJWxGxJfD6cvV+mlcpuZaiyhPA/hGxHdWpkFar8JKZd5T9QRGQ2b9mdyeBl66/Bu1k5vXAdeXq3hHR0fdsREwEjixXlwE/XYPzn1Wu7h8RL+9HN5VqLpVA2K8y87H+jEcayvbeehLbTZmwRn1sP2Uie209lPK9kiRJkiRJkiRpqFmXAy9XUQ1FvAzYp1yeXdeusj6DahWYOQ2mhPk11Qu8x/RzTJUppsaWUyitJiLGA4e36acSbBj0uRfKoMP55erMiHj+YJ+zncy8B7itXN20j4cvq1nu9twVP6Ra5eV9dVVeZgDPrrTLzJ+2uf2EarjizR1WYOmrs4HKVECfAJrOQ1GGECoBsqZhizLY06naAMSdfTiu4kvA8nK5ZZWXMgx3Yrk6Fjip2We2otz/PaphhxPqKjfV9v8UcFm5ugfFtF0Ad2fmvU1OcUl5P51q4OXBzLylUeMh+hq087Wa5ZMjopPJ/r4OTC2Xv5+ZD63B+b9EUeUF4NN9PTgzb6YIUS4vbz9cg7FIQ1ZE8K1DdmX86JHtGzcwfvRIvnnILvTt60eSJEmSJEmSJK1r1tnAS2auAC4tV99FcXF+EdVKLRWVqY8OBHas21bb361Up6Z4a0Qc2+r8EfHciDi0bvPt5f14GlQmiYiRwKnAs1r1TbXSw2blRe3B9hVgJcX76ZxW1S4iYmREvL3TihhN+nh9RGzUYv+WwD+Vq32dOun+muVt+njsgCrfo/9Zrk4EPlSzu7ZKy8877PKc8n5D4HVrNrrVlSGwz5Wrm1GtqtHIQcBoYDENPk81fhER74uIpuEZgIg4EnhJufp3Vv8ct5WZ84GTy9VXUa241Mw3gL+Uy68EflhOj9ZofOtThBteWW66FPhWm/4rlVlGUw3RNZrOqKJS+eUVwE4dtB9yr0E7mflT4Bfl6guB8yJicpPxrBcR/wkcXW66gyKItSbnv6Xm/PtGxAH96GPvzBxb3s5vf4TUm3bcYkNOOnz3Podexo8eyUmH786OW2w4SCOTJEmSJEmSJEnDxTobeClVLvJWrqrMLSuW1Kr8Nf5EoPKnxrOb9PdeqlUNvhkRf46Id0XEXhHxwoh4aUR8JCL+APwf8Ma648+mWmHi9Ij4akS8JCL2iIgjKC6uH0q1kkMzlSDPCOB75fmfV7m1ObbPMvNG4KPl6g7AvIj4z4h4efm4946IQyPi28A9wI+AjdbglMcA90bE2RHxnoh4cUTsGhEHRMTHKJ6fSuWH7/Wx72upVnn5YkS8LCK2q3n+OqkoMZBOAx4olz8QERPLKj+V987V5XQ8nfg1UKkoMuDTGpXOpRp0aFVd59Xl/QVlsKeZLYHvAg9ExFnl631A+XrvFRFHRsRvgdPL9gl8uEEFpk59BVjawfgrVVjeCPy13PR24OaI+Hz5Wa985o8Dbi73A8wD3tzgu6ZebVhl6/J+temMalT2bUX1u73VdEZD9TVo551UH9dLgVsi4usR8YqI2C0iZkTERymm+vpY2W4+8NrMXDwA5/9yzXKfq7xI65L9t53M2Ufv3fH0RttPmcjZR+/N/ts2zLFJkiRJkiRJkiQ9w6j2TYa12W3WycxlEXE51ak/HqE6bUt920ciYl+K4Mr+FFOLTG9x/sfqjp8fEe+lqOIyFvj38lbr/wGnABe26PciiqDOXsDbylutAZ8jIDNPjIjHKaZ52ZDiQvPHmjR/kmdOHdQf44E3l7dGVgHHZeYv+9JpZi4ugzkfB3YDZtU1OYDmgacBV77/vkVR6WVj4P0U1TMqlXvOaXZsg74WRcSFFFVGZkbElMxcMMDjzYj4LK2nyBlBtdJJ03al+cDuwASKsFd9VaRai4APZOYvWrRpKTPvj4j/AT7SYft7I2I/4L/LsU0DPtusOXAW8P7MfLSD7v9CEYCrnVqrVeDlOmAJxXNV0TDwMpRfg3bK9/FBFJ+J9wKbUATuPtrkkN8D/1pOdTYQ5782Is6neP4OjIi9MvPygehbGo523GJDLjhmOpff+QhnXn43F9y0gJWrqnm4USOCg14wlcP22oq9tt7EaYwkSZIkSZIkSVLH1vXAy5XAExThCWgeZJhNNfAyp1Xlgsx8AJgeEa+iuDC8NzAVWA94lGLaosuA8zJztYvRmXl6RNxKERbZl6ISykLgeuD0zDw7Ima0elCZuSoiZlKENl5DMTXP+gxC0KXuvKdExHkUU4jMBLanGP9y4F6KoNAfgJ9n5sI1ONWhFNUpZlBUlJlKUY1jGfA3iov838vMG/rZ/ycoXqd3UExrsyHQtzkZBtb/lmPaBPgwxXuhotPpjGrbv5Lis/824ISBGGCtzPxNRFwBvKhJk72AyRShpJZTumTm6yNie4rpd/aleD2mUYQvlgEPU1RMmQX8eA3fVxVfA95D8ZlpKzP/Abw9Ir5O8d58KUVVlI0oPvPzKQJqZ2XmdZ0Oogw7XQnsV256mKJSTLP2KyPiMuBl5aZFFFVOGhnqr0FLmbkM+GAZTjusHNtzgEkUUzTdR1HB6+xG37MD4EtUA0OfoZgCS1ITEcHe20xi720msXjZChY8towly1cyYcxIpmwwlolj1+v2ECVJkiRJkiRJUg+KwZt1QpJWFxFfoQjwXJqZ+3Z7POsiX4N1V0RMo5hajnvuuYdp06Z1eUSShpKlS5cya1ZR3G7mzJmMG7e2Z3KUJA0kv9claRh56CHYbLNnbnvwQZjslLCS1Mv8mV3SumT+/PlsueWWldUtM3P+QPQ7YiA6kaQ+eHV5324qHQ0eXwNJkiRJkiRJkiRJPW1dn9JI0loUEaOBcyimVvpJl4ezTvI1kCRJkiRJkiRJkjQcGHiRtNZk5pPA57s9jnWZr4EkSZIkSZIkSZKk4cDAi9QHEbERMK0/x2bmvIEdjSRJkiRJkiRJkiRJ6yYDL1LfvB44vZ/HxgCOQ5IkSZIkSZIkSZKkddaIbg9AkiRJkiRJkiRJkiRJ6gsDL1IfZOYZmRn9uXV77JIkSZIkSZIkSZIkDRcGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBFkiRJkiRJkiRJkiRJPWVUtwcgSZIkSZIkSZKaGDmSVc9/PkuWLAFgwoQJjBg5ssuDkiRJkrrPwIskSZIkSZIkSUPVJpuw/Oqr+dOsWQDMnDmTcePGdXlQkiRJUvc5pZEkSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9RQDL5IkSZIkSZIkSZIkSeopBl4kSZIkSZIkSZIkSZLUUwy8SJIkSZIkSZIkSZIkqaeM6vYAJEmSJEmSJElSE48/zqgvf5nt77gDgFFXXAGf/CSsv36XByZJkiR1l4EXSZIkSZIkSZKGqieeYL0vf5l/qt12zDEGXiRJkrTOc0ojSZIkSZIkSZIkSZIk9RQDL5IkSZIkSZIkSZIkSeopTmkkSZIkSZIkSdJQNXo0Kw8+mAcWLABg6pQpjBw9usuDkiRJkrrPwIskSZIkSZIkSUPVhhvy5I9/zFWzZgEwc+ZMxo0b1+VBSZIkSd3nlEaSJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ4yqtsDkCRJkiRJkiRJTSxaxOijjmKPBQsAGP2DH8Dpp8OGG3Z5YJIkSVJ3GXiRJEmSJEmSJGmoevJJRp57LlvUbjvppG6NRpIkSRoynNJIkiRJkiRJkiRJkiRJPcXAiyRJkiRJkiRJkiRJknqKgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBFkiRJkiRJkiRJkiRJPcXAiyRJkiRJkiRJkiRJknqKgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBFkiRJkiRJkiRJkiRJPcXAiyRJkiRJkiRJkiRJknqKgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBFkiRJkiRJkiRJkiRJPWVUtwcgSZIkSZIkSZKamDyZpU88waxZswCYOXMm48aN6/KgJEmSpO6zwoskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9RQDL5LWKRFxd0RkRJzR7bGsDRHxnPLxZkQc2e3xSJIkSZK0eNkKbl+wmOvueZTbFyxm8bIV3R6SJEmSJKkHjer2ACRJw1tEfA44rmbTnzLzwA6O2xeYW7stM6NN/wdk5uwm/a0PHA68FtgFmAQE8BhwN3AjcBnw+8y8p8nY++P3wEyKkOkfMnNmJwdFxCzgZcAqYJ/M/MsajkOSJEmSuiYzuezOhznzsr8x668LWLkqn943ckRw0AumcNheW7H31pOIWO2/fpIkSZIkrcbAi6SeV1ZrOQL4W2Y+p7uj6S1l1ZfTy9XnZubda+G0L46IaZk5v027wwfqhBGxN/BT4NkNdm9a3vYAjgIWAFMH6txlf/8FfBh4WUQclZmntzqgfF1eVq6eaNhFkiRJUi+bd+8ijj37Om5bsKTh/pWrkvNvfIDzb3yA7aZM4FuH7MqOW2y4lkcpSZIkSeo1Bl4kaRgrAyxD6U/jlgFjgbcDX2vWKCJGA4fUHdMvEbEdcAEwsdx0HnAOcBvwJEXYZReKgMkBdYf/T9m2kdcBx5fLnwZ+1aTdP8rb64CtgW9GxO8y84Em450CfLNcvQP4TLPHJkmSJElD3cW3P8TRZ17NE0+u7Kj9bQuWcMhJl3HS4buz/7aTB3l0Uo9YvpwRv/gFz7r+egBGLFkCb3oTjBnT5YFJkiRJ3WXgRZK0Np1HEWQ5nBaBF+DVwMYUYZcLKMIi/fUlqmGXozLzjAZt/gB8IyImUw3akJkPAg826jQi9qhZvTcz57UaRES8G/gjxeP6LvDGJk3/G9gESODdmflEq34lSZIkaaiad++iPoVdKp54ciVHn3k1Zx+9t5VeJIDHHmPMYYexZ+22mTNhsqEwSZIkrdtGdHsAkqR1yg/L+xdExAtbtKtMZ/Rr4NH+niwiRgKvKlevahJ2eVpmPpSZ3+3v+dr0fRFwarn6hohYLfASEa8H3lSunpqZfxqMsUiSJEnSYMtMjj37uj6HXSqeeHIlHzn7ejJzgEcmSZIkSRouDLxIw1xE/CYiMiIub7J/Rrk/I+KRiFjteyEipta0eU+D/SMj4ojyXPdFxPKIeDgi5kbEsRExrsX4RkTEgRHxjYi4JCIWRsSKiHg0Iq4rtz+7ybGfi4gEjig3bVUzzqdvbZ6f7SPilIi4uxz3gog4NyL2anVczfHPi4gTIuLGiFgUEUsj4s6IOKOuAkj9cbXP+4zyeXhnRPypHMOqiDij7pjdI+K0iLgtIh6PiGURcU9EXB0R342I10ZE1B3znJrzHFl/fuD0muZ3NXj+ZnTyPPTBTcC15fLhjRpExCTgleXqmWt4vslA5f33f2vY10D4KHBfufzfEbFxZUdEbEhR+QXgXuBja3lskiRJkjRgLrvzYW5bsGSN+rh1wWIuv/ORARqRJEmSJGm4cUojafj7M0WFi90jYkJm1v+26cU1yxsDOwPXtWgzu3ZHGUY5D9il7phNgH3L23sj4lWZeVuD8X0WOK7B9g3LPncpjz8sM89t0K7fIuJg4EfA+JrNmwGvB14TEW/PzP/X4viPAl8G1qvb9dzy9o6IOD4zP9tmKGMppu15aYtzfRj4BqsHFaeVt92A91FM3bNmv1EcfGcCLwQOjYiPZWb9n/u9BRgNLAR+T/OpfzrxZM3y89egnwGRmYsi4r3Ar4CpwAnAkeXurwPPKpffm5mL1v4IJUmSJK0rHl6yfFD7P23uXQPUz51sN2XCgPRVb9KEMYPSrzTgRo5k1fOfz5Ilxa98JkyYwIiRI7s8KEmSJKn7DLxIw9/s8n4UsB9FgKDWjAbr1zVpsyAzb6lsLCtxzAW2BJYDp1AEbO4GJgAzgQ8BzwN+FxG7NbiIPwq4HzgXuAy4E1hW9rkPRYhjAnBWefzNNcf+D3AOcDzwOorKGQet/hQ0tBNFsOJ+4JvAVUCUx3+CIoRyckRclJkP1R8cER8D/rNcvQH4X+B2iul3tgfeD+wNfCYiFmbmt1uM5WsUQaPzgDOAvwFTgA3Kc+1MNexyF/DfFK/RIxQBl+2BA8rnoFNXls/B6yieP8rHfl9du4H5DeUznUUR7pgKvIzV35OVyi8/zcwVdUVr+iQzH4mIvwFbAbtExL8DX8/MVf3udA1l5nkR8VPgrcAREXEWRTDnX8omP8nMX/en74iY1qbJ1MrC0qVLWbp0aX9OI2mYWrZsWcNlSVJv8ntd7ex+/EXdHkJHLrz5QXY//sJB6fvm4w4clH6lATduHMsuuYQ5c+YAMH36dMaOHQv+v16Sepo/s0talwzWNSkDL9Lwdw2wmCIYMYOacEFEjAEqU/f8GnhN2ebEuj4qFV7+XLf92xTBlL8BB2RmfThidkT8DLgY2Br4OPCpujanAp/PzBUNxv2riPgOcDmwBfBJaqbBycwHgQcj4tFy04rMnEdndgOuBg7MzMdqtl8eEf9HUfllA+AwiiocT4uIHYAvlaufL8dfO3XS1WWg4Qfl8V+KiDMz8x9NxrIzcHxmfqbJ/jdRhF0eB/bOzAV1+y8GTi2nxHmi6SOukZmPA/Pqpl26LTPv7uT4NZGZCyJiFvAKitez9j35PKrvyR8O0Cm/QxEYAvgq8J6IOA+4FLiiwft2bfggRUWfTYGTgRUUgauF5b7+uqfThnPmzGHTTTddg1NJGs4qv0iXJA0Pfq+rMX8tOGvWrG4PQeoXv9clafjxu13ScLdw4cJB6bd+agxJw0w5XczccnVG3e5/pqhksohqqGN6RDz93RARm1GdCubPNdufQ1EhBeD9zUIDmXkt8N1y9cgG++9uEHap3T+fohoIwGtjTcp9rO6ddWGXirOoVjrZv8H+j1BMY3QVq4ddACgriHyAovLNBIrQSjO3AZ9rsb9SleO2BmGX2nMu6mblkj46s7x/fUTU1qauBJpuzcwrB+hcJwDfr1l/DkWo5KfAnRHxQET8NCJeM8Dvr6bKqkEfKle3oqiCBPDBzBycf/ElSZIkSZIkSZKkYcQ/5ZDWDX+mqKaxe0RMyMwl5fZK5Za5FNUulgIbU1Qcua6uDVSnRwJ4FTCSoqLI79qcfw5FdZdnRcSzM/PvzRpGxAbAJGA8RcULqFYt2QB4LsW0R2vqxsy8odGOzMyIuBZ4FkVlmnqvKe9/3ijsUtPPoxFxI7AHxfRGpzRp+v/KYFIz95f3O0TEizLzihZte8UvqVYeegPVai6HlfdnNjimX8oQ0LvKqjvHUlRWqf33bwpFeOstwFUR8dbMvGOgzt9iXGdFxKHAq8tNv8nMn6xht1u22T+VYjorpk+fzrRp7WZAkrQuWbZs2eol0iVJPcvvdbV1WW9MaTSYZs6c2e0hSB3ze12Shh+/2yWtS+bPnz8o/Rp4kdYNs8v7UcB+VKeQmVHZn5nLI+Jy4IBy+3V1bR7KzL/W9FmZCmc88FQfCmNMBZ4ReImIrYCPUgRJtmpz/KYMTODlljb7HynvJ9ZuLMc6uVz9SkR8pcPzTW2xr2HwpsZPgP8AxgCXRMTvgd9SBJVuahW6Gaoyc2lEnAMcRVHV5YcRsR9FwCgpppQa6HP+AfhDGaraF9iT4n08HdiwbLYHcHFE7J6Z9zfuaUD9nGrg5edr2llZEamp2s/puHHjGDdu3JqeUtIwNXbsWL8jJGkY8XtdjVz96ZcOWt9Llj/FAd+YzaoB+N/qyICLPjqDCWMG/teY48aNGfA+pbXB73VJGn78bpc03A3Wd5yBF2ndcDWwhGJqnRnA7yNiNEXVEagGYmZTDbycWG6rVHh5ejqj0mb9HMv42pWIeAVwTv32Fgbq2/CJNvsrUwONrNs+II+7zj9aHZiZt5SVQE6hqMDzaqohiYVlAObkzLy4n2PrljMpAi8HRsQWVKczmpOZfxusk5bTWP2uvBERY4C3Ad+keH43B74I/MtgjUGSJEmSum3ShMELe0yaMIaX7ziV8298YI37evmOm7PVpPUHYFSSJEmSpOHGwIu0DsjMpyLiEuAgqhVb9qQIjywCri23VUIt0yNiBLAJsEPdvopKEGQhRUimU3dVFiJiU+AsijDIEuAbwAXAHcCizHyybHcg8MfKYX0412CoDcB8AfhZh8c93mJfq+mMAMjMn0fEhRTT7hwE7E9RaWZTimmADouIHwDvLKfw6QWzgXsopuE5Cjik3D5g0xl1IjOXA6dHxH1Uqx+9ISL+tYeeS0mSJEkaUg7ba6sBCbwctle7QrDSOuDxxxn15S+z/R3FDMyjrrgCPvlJWN8wmCRJktZtBl6kdcefKYISu0dEpdILwNzMrAQuLgeWUVS52BnYhmrAZHZdfw+X9xOBm2v66Is3ARuVywdn5oVN2m3Sj74Hy8M1yysyc97aOnFmLgJOLm9ExPOB1wEfAJ4FHEERXvqvtTWmNZGZGRE/opiu6VPAWIr3X6chooEezwURUQngbAxMAh7qxlgkSZIkqdftvfUktpsygdsWLOl3H9tPmcheWw+lXwlIXfLEE6z35S/zT7XbjjnGwIskSZLWeSO6PQBJa83s8n4UsB/VqYoq2yuVLi4vV2fUtFkI3FTXX6UqzBhgj36O6QXl/SMtwi500P8AzAresTspquIA7LsWz7uazLw5M78K7EW1gswhLQ5p2M3AjqrPKtVcxpb3vyqnHOqW+2qWu/3cSJIkSVLPigi+dciujB9dP1NwZ8aPHsk3D9mFiG4XepUkSZIkDVUGXqR1x1VUQxEvA/Ypl2fXtausz6BaBWZOZtZf/P811UDAMf0cU6XK1NhyCqXVRMR44PA2/Swr7wdvAvJSWcnm/HJ1Zlllpasy8x7gtnJ10z4evqxmedCfv3qZeTNFyGp5efvh2h5DRfleq0zh9RjPrOYjSZIkSeqjHbfYkJMO373PoZfxo0dy0uG7s+MWGw7SyCRJkiRJw4GBF2kdkZkrgEvL1XcB61NUKrm2rumfy/sDgR3rttX2dyvVqWfeGhHHtjp/RDw3Ig6t23x7eT+eBpVJImIkcCrFdD2t3F/ebxYRE9u0HQhfAVZSfIeeExHTmjWMiJER8fZWbdqJiNdHxEYt9m8JT1e1vauP3d9fs7xNH48dEJm5d2aOLW/ntz+icxExISL+EhGvbhaqKtuNAL5DMUUXwHkNQl6SJEmSpD7af9vJnH303mw3ZUJH7befMpGzj96b/bedPMgjkyRJkiT1ulHtm0gaRv5MUd2l8idSc8uKJbUq1TZqgyOzm/T3XorphrYGvhkRr6Oo0HFT2cckYBfg5RQBmnOBn9QcfzbwZYrKIqdHxK7AHyiCOC8APgDsDlxC6+mDKkGeEcD3IuI7FNMwAZCZ/9fi2D7LzBsj4qPACRQVQeZFxMnARcACiul5ngPsDbwJ2BzYCZjfz1MeA/w4In5bnuNmiudoY4rn/wPAuLLt9/rY97UUVV7GAl+MiBXA34BV5f57M3NpP8c9VLyIoiLRvRHxS+Ayise4GNgIeCHwTorXCIrn9jNrfZSSJEmSNEztuMWGXHDMdC6/8xHOvPxuLrhpAStXVf/GYNSI4KAXTOWwvbZir603cRojSZIkSVJHDLxI65bZbdbJzGURcTnw4nLTI8CNjTrLzEciYl+K4Mr+wPTy1sxjdcfPj4j3UlRxGQv8e3mr9f+AU4ALW/R7EUVQZy/gbeWt1oD/piwzT4yIx4ETKQJEHytvjTzJM6cO6o/xwJvLWyOrgOMy85d96TQzF0fEt4GPA7sBs+qaHEDzwFMveAp4AJgKbAH8W3lr5nbg0My8e/CHJkmSJEnrjohg720msfc2k1i8bAULHlvGkuUrmTBmJFM2GMvEset1e4iSJEmSpB5j4EVat1wJPEERnoDmQYbZVAMvc1pN7ZKZDwDTI+JVwKEUVU2mAusBj1IECC6jmCJmToPjT4+IWynCIvtSVNxYCFwPnJ6ZZ0fEjFYPKjNXRcRMitDGayim5lmfQQi61J33lIg4DzgamAlsTzH+5cC9FEGhPwA/z8yFzfrpwKHAq4EZFBVlpgKbUoRo/gbMAb6XmTf0s/9PULxO76CorLMh0LcJ1oeoMsC1BUUY6qXl/fbAFIqQ1ePAfRTvt19RvFZPdmm4kiRJkrROmDh2PQMukiRJkqQ1Fi2uY0uSpGEkIqYB9wDcc889TJs2rcsjkjSULF26lFmzikJfM2fOZNy4cW2OkCQNZX6vS9Iw8tBDsNlmz9z24IMweXJ3xiNJGhD+zC5pXTJ//ny23HLLyuqWmTl/IPodMRCdSJIkSZIkSZIkSZIkSWuLgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6imjuj0ASdLQFREbAdP6c2xmzhvY0UiSJEmSJEmSJElSwcCLJKmV1wOn9/PYGMBxSJIkSZIkSZIkSdLTnNJIkiRJkiRJkiRJkiRJPcXAiySpqcw8IzOjP7duj12SJEmSJEmSJEnS8GXgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9RQDL5IkSZIkSZIkSZIkSeopBl4kSZIkSZIkSZIkSZLUUwy8SJIkSZIkSZIkSZIkqacYeJEkSZIkSZIkSZIkSVJPMfAiSZIkSZIkSZIkSZKknmLgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9ZRR3R6AJEmSJEmSJElqYuONWXbVVVx66aUA7LPPPozdeOMuD0qSJEnqPgMvkiRJkiRJkiQNVaNGkTvswOL58wHIHXaAUf5qX5IkSXJKI0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJGmoeuop4q9/ZeLf/87Ev/+d+Otf4amnuj0qSZIkqetGdXsAkiRJkiRJkiSpiX/8g7F77MGBtdsefBAmT+7WiCRJkqQhwQovkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSpp4zq9gAkSZIkSZIkSVITkyez9IknmDVrFgAzZ85k3LhxXR6UJEmS1H1WeJEkSZIkSZIkSZIkSVJPMfAiSZIkSZIkSZIkSZKknmLgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9ZRR3R6AJEmSJEmSJElqYvlyRvziFzzr+usBGLFkCbzpTTBmTJcHJkmSJHWXgRdJkiRJkiRJkoaqxx5jzGGHsWfttpkzYfLkbo1IkiRJGhKc0kiSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHjRkBcRR0ZElrfn9OP4GTXHzxjwAXbBcHxMkiRJkiRJkoavxctWcPuCxVx3z6PcvmAxi5et6PaQJEmS1OMMvEgaEiJiZEQ8VoZ4rmnTNiLi4ZrQzzvbtD+ipu1727TdLyL+KyKuj4iHImJ5RNwXEZdGxHERsW2Hjyeb3J6MiAUR8eeI+FREbNZBX7Mrx3fQ9kM153owInau2fe5VkGpuiBVRsT/6+B8Z3Q6trL9RhHxnoj4WUTcHhH/iIgV5et5Y0ScGRFHRcRGnfTX4jz1j6VyeyoiHomIuyJiTkScEBFvjIjR/TxP7XtrZURMa9Bmw4i4t2zzQERs0mHfn6rp+6P9GZ8kSZIkSVI3ZSaX3rGQ9/7oanb9wh942QlzeP13L+FlJ8xh1y/8gff9+GouvWMhmR39akmSJEl6BgMvkoaEzFwJXFqu7hIRG7Ro/gKgNjSwf5vua/fPadQgIqZFxG+Ai4EPAjsDmwKjgc2BvYHPATdFxIkRMabNOZtZD9gMmA4cD9wcETP72dczRMTHgBPL1QeAGZl5wxp0+eaI2GmNBwZExIiI+HfgLuB/gTcBzwM2AkZRvJ47AocB3wceiIjvRMSmA3H+GiOBjYHnULwvjgHOAeZHxKcjYlQf+zuiZnkExfifITMXAZWg1RTghHadRsT2wGfK1Ss7OUaSJEmSJGkomXfvIg46cQ5vO+Uv/G7eA6xc9cxQy8pVyfk3PsDbTvkLB504h3n3LurSSCVJktSr+nphT+o5mTkbiG6PQx2ZAxxEERzYB/h9k3aVAMtKigBDp4GXhcBf63dGxPOBWUClOsdtwOkUQYN/UIQUXgIcRRHM+BCwc0S8LjMXtzn3VeVxFRMpgh7vA/Yq+/tFROyUmXe16aupiPgURYAG4F7gwMy8rb/9VboFPg+8YY06iRgH/AR4XblpBfAL4A/AncCjFCGUrSie51cDGwLvBy4Bfrom56cI2PxPzfqE8nw7l+d7KTAZ+CLwmoh4dWY+1MHj2hKYUa4uKfs9HPhqfdvMPK+smPMW4B0RcVZmXtCk3wBOBcZQPFfvKgNhkiRJkiRpXbTBBiz/0Y+44frrAdh5l10Ys0GrvxXrvotvf4ijz7yaJ57s7Fcaty1YwiEnXcZJh+/O/ttOHuTRSZIkabiwwoukoaS2+sr0Fu0q+35W3m8TEc9q1LCcMmi7cnVu1tVHjYiJwK+phl1OAHbKzK9m5h8z85rM/F1mfhR4PnBR2e4AilBCO49n5rya22WZeSZFoOecss36wEc66KuhiPgc1bDL34EXD0DYZWF5f3BEvHAN+zqJatjlcmD7zHxrZp6WmX/KzGsz86LMPD0zDwOeDXwKWLqG5614sO41uLx8Tb+WmTMpKstcW7Z9EXBuh1McHU4RCloBVKYc2iEi9mjS/gNUn9eTImJCk3bvA/Yrl7+cmTd2MBZJkiRJkjRcjRnDqje8gfv23Zf79t2XVW94A4zpb/HhwTfv3kV9CrtUPPHkSo4+82orvUiSJKljBl4kDSVXAsvK5VZVWyr7zgHuaNO+3XRGXwO2KZdPzcxjM/PJRh1l5oPAa4Dry02HRMSbW4yzqTJ484maTS/tTz8R8WXguHL1LmB6Zt7R4pBOfRtYXi5/ob+dRMSbKIIhAFdTVJ5pWckmMx/LzC8DuwH/199zdyoz/wrsSzX0si/wbx0cWnlcvwN+AFR+G/OOJud5iGIKJSiq2Xylvk1ZNaay/Sbgyx2MQ5IkSZIkaUjITI49+7o+h10qnnhyJR85+3rq/mZNkiRJasjAyzAUEb+JiIyIy5vsn1Huz4h4JCJWex9ExNSaNu9p0s/kiDg+Iq6NiEcjYllE3B0RZ0bEfo2OqTn27rLvM8r13SPijIi4KyKWR0Sf/kcTEVtFxG1ln4sj4iVNHu+MBseeUe67u1zfKCK+EBE3RcTj5WObExFv73Asr4mI30fEQxHxRDmur0fE1EaPvUkf4yLikxFxfTmGhyPikoh4d6PXq8HxIyLiwIj4RnncwohYUT6W68rtz25y7M41z9cnGrWpa/+BmvYvate+lcxcDlxRru4ZEav9qUpEPBfYolydW96gH4GXsvrLO8vVBXRQZSUznwCOrtnU9jlq4U7g8XJ5y74eHBHfAP6jXL2dIuzytzUYT617gJPL5VevwWv7yfI+gaMys+OqLZl5S2Ze1c/z9kk5rsMpxgnw0YhYr1n78vn4p3L1R5m5jGrFnrc2OzYzfwz8tlx9X0TsW9fkexTTXq0E3tksfCVJkiRJkjQUXXbnw9y2YMka9XHrgsVcfucjAzQiSZIkDWejuj0ADYo/A68Cdo+ICZlZ/z+MF9csbwzsDFzXos3s+hNExEyK6WTqJ4vdqrwdFhHfBT6YmataDbYM1HyHfr4fI+L5wCyKKWkeBl6ZmVe0PqppX9sDvweeU7drf2D/iNg7M9/f4vjvUkxHUmtbiulODouIV3YwhqkU0+Y8v2bzeIopcPYB3gh8q003n6Va9aPWhsAu5e29EXFYZp5b2yAzb4iIK4E9gSOAr7Y511Hl/U39fd7rzKGYsmgM8M+sXpWlMp3R7Zm5ICLmluNsNgVSJfDyGKu/z99angfg+5n5WCcDzMy/lIGyvYDdImLnzLyhk2Pr+smIeKpcXdGXYyPiv4APlqu3UFROub+vY2jjK8C/AOOALwIH9eXgiNgZqEyH9KehPjVPZt4UEX8AZgLPovgMXNqkeaWKyyKKKbEAfgS8C5gMvAI4r8mx76Go3rIBcFpE7JKZyyPibUDlO+K/BujzJEmSJEmS1NLDS5a3b9Sh0+a2LOzbh37uZLspzWaD7ptJE4bu9E+SJElaMwZehqfZ5f0oYD+KAEetGQ3Wr2vSZkFm3lK7IyJ2pbjAO5riIv1/U1zYfZzi4vYngOdSTAnyOPDvLca6J3AYRTWJbwBXleNuNZ1N7Vj2pJhOZBJwH/CycnqS/hhP8bgmAccDFwJLKB7TcRSBmn+LiF9n5gUNxvJxqmGXeyiCIldRBCoOAo6lqAAxvsXjGQX8hmrYZRbwv2V/zy77PwjYpM1jGQXcD5wLXEZRSWQZRRWRfcp+JgBnRcRumXlz3fGnUrw2/1SGfC5rMt5dqAYavt9mTJ2qDbjsz+qBl8p7Y27d/Y4RsXFm/qNmfBMpwj0Al2ZmfS3V2pDMr+mb8ygCL5Ux9TnwEhGbU4SQAO7u8JgAvgu8t9w0D3hpZi7o6/nbycz7I+J/Kd67MyNiv8yc2+64GrXBufrvoaHqQorACxSv62qBl7J6y1vL1Z+X1V2gCBveQ/E5ewdNAi+ZOb/8vvgesD1wXER8C/ivsskdwGf6M/iImNamydTKwtKlS1m6tOOCO5LWAcuWLWu4LEnqTX6vS9LwMpjf67sff9GA9jcQLrz5QXY//sIB6evm4w4ckH4kaaD5M7ukdclgXZMy8DI8XQMsppgWYwY1F5rLKWIqF+l/DbymbHNiXR+VC9V/btD/yRRhl5XAqzNzVs2+KyPiZxQhhB0opgX5YWbe1GSsOwA3UkzF8mjN9kuaPrrqYzkQ+BVFcOP/KMIud7c7roXJFI9r77rxXh0Rs8txjqUIizwj8FJWZfl8ufp/ZR8La5pcHBHnA38qz9HM0cDu5fLJmVk7dc7VwLkRcRrVaXiaORX4fGbWVw25BvhVRHwHuJxiaqBPUkzlUusnFFVk1qeo4NIw8FIzjhXAmW3G1KnLgKdoHnyqbLsYimlvImIhsCmwL0VgqGIfYGS5XB+cgWoYZhWrh77auaZBP331HzXL5zRt9UwnU1RdgWLML6t7rw20r1G8L9cHvgD05TcEO9csX9O01dBSO87tmrR5FUUwDoqqLsDTFXvOogj5vbo+gFXnZIrQzAzgYxTv1U0pplR6dzl1Vn/c02nDOXPmsOmmm/bzNJKGuzlzGv2zKUnqVX6vS9LwMvDf68P7MsGsWbPaN5KkLvNndknD3cKFg3M5c8Sg9KquKqtYVKowzKjb/c8UoY1FwAnltukR8fR7ISI2o1ph5BmBl4h4EUXlD4BT6sIulfP/A/jXcnUEq0/xU+/f6sIubUXE64HzKcIuNwD7r2HYpeIzjcI5mfl/wC/L1f0aHHcExfMKcEyjAEJmXkpRmaOVynO1APhwkzYfAh5q1Ulm3t0g7FK7fz7w9XL1tWXVkNr9i4Gzy9W3RMS4+j4iYjTw9nL1N5nZckydKqfgurZc3SciKoGVynuzEkKorTRSCUjVB2Rq1xv9tFi52v9YZvY1VlhbUWVS01Z1ImJiROwWEacDlemxbqf9e6OiEna5mWIao8EMu5CZD1JUcQI4ICIO6MPhtWmKpu+P8jnZscmtWehksDxcs7xxkzaV6Yzms/qUb5Xg1xjgLc1OkpkJvBtYSvFbpUrI8JTM/FMfxitJkiRJkoa50YsW8brXv/4Zt9GLFnV7WJIkSVLXDe/o9rrtz8ArgN0jYkIZIoDqRdW5FFN1LKW4qLsz1QoXtdOQzK7r96U1y6c1O3lmXhIRN1MEZ17arB1wT2Ze3GL/aiLiSIoKJiMpHsOr+hqYaSKBs1rsv5qiIsMmEbFR3Tkrj3EhxRRLzfyQJkGWcnqbHcrVs5tVeMjMJRFxNsWUUR2JiA0oQhnjgUq4pdL/BhRTUN1Zd9ipFNVdNgDeSE0li9JrqAY9Bmo6o4o5FMGqicCuFM89VKcgWpCZt9e0nwu8jmdOUQTVwMsy4MoG55lY3i9psK+d2mM2aNHuxRGRTfYlRZWi97WoBNLomKB4zXYD/tjhcWvi6xRhrInAF2kc+mpkYs3y4y3avYRi+q1G/gY8p8PzDYTa13Vi/c6I2ISiwgvAWWVw5WmZeVNEXEfxvj2cYtqihjLz/yLiMxTTuQHcS1HtZU1s2Wb/VMrPwvTp05k2rd0MSJLWJcuWLXv6r4mmT5/O2LFj2xwhSRrK/F6XpGHkodX/jmjGjBkwefLA9H/Z0JvSaCDNnDmzfSNJ6gJ/Zpe0Lpk/f/6g9GvgZfiaXd6Porg4XZnWaEZlf2Yuj4jLgQPK7dfVtXkoM/9a1++O5f2TtJ8C5i8UgZdtI2J0Zj7ZoM0NbfqodwzwQYoL/hcAb1iDqT/qLczMh1vsf6RmeSLwaM165Xm5LjNXtejjRornrtG0RjvVLDcKZ9S6gjaBl4jYCvgoRTBlqzb9bUpd4CUzL42Iv1KEcI5i9cDLUeX9/bQO+fTHxcBHyuX9qQZeKgGWuQ3aQxHwGpeZS8sKNC8qt/+lyftvMbARRaWgvqo95rF+HA9wH3BiZt7Xh2M+QFFxZSxwXkQclJn1z8eAysyHI+JE4DPAvuU5L2hzGBTPb8X6gzK4gVcbcmn0uh5K9fNb/5mgZvuuFBWKtsnMO1qc7+dUAy8XZmZ/30vA09Wbmqot5jRu3DjGjVuteJMkATB27Fi/IyRpGPF7XZJ6XIPv8HHjxjXc3h9Xf7rV3yt2bsnypzjgG7NZ1exPv/pgZMBFH53BhDFrfglj3Lgxaz4gSRpk/swuabgbrO84Ay/D19UUlQomUARYfl8GAPYu98+uua8EXk4st1UqvDxjOqPSJuX9I5n5VJsxPFDeB0UVmQUN2nRa1aLiQ+X9Q8AbBzDsAtWKJ83UBllG1u2rTH3SbqqhlRHxCEWVhXqb1Cw/2GYsjZ7Lp0XEK4BzKCq6dKLZN8xpwDcpprJ5TmXaqLIazcvLNj8sp9EaSBdTrWSyP9X3ZrPAyzUUr994YC/gTxQVYipx6GaTXy6kCLxsUAnK9GGMU2qWWwWlrqIaDgqK135/iuDWFhSfzZd1WukoM79bTjH1dYrH+9uIeGlmtgtJralvUYRtNgI+TxE4a6f2eWn6J0eZ+UuqlYcAiIi7aR/UGgy10zA90mB/ZTqjGzLzxiZ9nAV8jeJ74h3AcQM3PEmSJEmSpIE1acLABEImTRjDy3ecyvk3PtC+cRsv33FztprUK38/JUmSpG4Z0e0BaHCUYZRLytUZ5f2eFMGGRcC15bZKqGV6RIyIiE2pTqvTKPDy9CkGaKh9DUr8vLyfDJwZEcM1tNXv57d8Dc+iCEMsAT5HEXTaDBiTmZGZQTGNzNOHNenuhxQVaQI4omb7O6iGfgZ6OiMy8xHgpnJ1f3h6WqZdym1z69qvoKh6A9VpjfavadIs8FKpMDSipu9O7VazfH2Ldo9n5rzydmNm/iEzP0tReWkxMAb4cfn4OpKZ36AaotgAuCAidu7j+PuknMLrW+XqP0fEqzs4rPZ5eeGAD2pw1I7z1todEbE91apBO0dENrpRVO6pfD4Oi9qyKpIkSZIkSX218cYsu+oqLvr2t7no299m2VVXwcYbtz+uCw7ba2D+fmmg+pEkSdLwZuBleKsEVnaPiEqlF4C5NRU5LgeWUVQo2Zmiukvl4uzsBn1WKh5M6iBsUqlikvS9kkszHwW+Wy4fDPxkiIReKo+v5cS5ETGSajWYZn3AM6uHNNJq/5soqnAAHJyZn8/MyzPzobppfTZZ/dBnysyFwK/K1SNqLtwfWd5fkpm3teunnyohlckR8U/AvhTfWUuoBrZqVUIwlaBLJfiyAriszTkAXtvH8dW2bxaoaSoz5wGfLFe3BD7Wx+O/QFFFBIr31B/K52kwnUi1asvnO2hfG5p7edNWQ8vLapbrKwm9g77bmiLcJEmSJEmS1D+jRpE77MDiZz+bxc9+NrnDDjBqKPxKdHV7bz2J7ab0Z/bwqu2nTGSvrdv+6lKSJEky8DLMzS7vR1FccH1x3XYyczlF6AWKQEylzUKqFTZqzSvvRwO7tjl/pRLC7XVBizX1AeCkcvlNwI/KIEk3VZ6rXSOi1edqJ4qKHo3UTo+yZ5vztdr/gvL+kcy8sEW7Pdqco+LU8v65wIyI2AeoBCsGvLpLjdopfvanGmS5vMkUSpVwwl4RMQbYp1y/JjMfb3KOnwLLy+WjymBYWxGxJ8XUSQBXt5japp2TgLvK5Q+X1Xk6lpmfAL5drm4G/DEitu7nWDo532KKqZQAdouIg9u0vwG4rlw9MCJ2aNG86yJiR6qVj+6hmI6qsi+Aw8rVG4BD29zeRhEmhP4FZSRJkiRJknpORPCtQ3Zl/Oj+/bp2/OiRfPOQXbBgriRJkjph4GV4uwqoXOh/GdUAwOy6dpX1GVSrwMzJzEbT6tQGKN7Z7MQRsTfVqZFahS76rBzXe6kGMd4C/LBN0GSw/bG83xR4RYt2TS98Z+Z9wM3l6psjYlyjdhGxPnBIi3NU/rxjbLPnJCLGA4e36KPWhcDfyuWjyhsUlVbO7rCP/qitmjKdasWW+qobFZdRTJG1PkUFmg0b9PMMmbkAOKNcnUo1zNFU+bqcVLPpa83atlNOxfTVcnV94MP96OYY4JRy+VnARRGxZX/H1IH/Bh4slz9P8+mwKr5S3gdwRkSMHayBrYnydf0h1cfzjXJquIoZwLPL5R9m5k/b3H4CXFC2f/NQfdySJEmSJEkDbcctNuSkw3fvc+hl/OiRnHT47uy4xYbtG0uSJEkYeBnWyovpl5ar76K4oL6I1aeDqUw7ciCwY922+j6voFr14N0R8ZL6NhGxIdVAwCrgf/sz/lbK0Mu/AqeXm95GcTG9W+/pH1CtFHJio0odZQjo39r0U3mupgLfbNLmBIpqHs3cXt6Pp0EwpqyGcypFOKKtzFxFtZLLGykCRgA/y8wlnfTRH2UA6I5y9QCqFWkubtL+MapVcj5es6vddEMfp1pl5T0R8fWIWK9Rw/J1PQ94Ybnp7Mz8WZv+2zkDuLdc/rfy89Ox8rPwHuDH5aatKCq9TG1+VP+V1XIqIZ+dgFe2aX82cFa5uifF1EstJ2EuA1nNKiENuLLyzFyqr+ufWf17qzas9vMOuz6nvN8QeF2/ByhJkiRJktRj9t92MmcfvXfH0xttP2UiZx+9N/tv23LGeEmSJOkZDLwMf5XgSuUi+twG08FcThHWmEi1usHsFn2+G3iSopLI+RHxjYh4cUTsERHvBq6huBAORZWEec06WhPlhf5/oajKAEXFklOjC/Uuy3DG58vV5wFXR8R7I2LPiNgvIr5IUQXmPuChymENuvpfqoGk90bE7yLidRGxW3l/AcXzf1WDYyvOphq+OT0ivhoRLylfnyOAv1BMuXJJHx7i9ynCS+Mp3ieVbYOtEm7ZgiIA8RTVKbgaqVR/qUzrs4rmFWGAp4Myr6V4bQA+CtwYER+PiAPK5/7lEfGfwC3AS8t2synef2uknO7rG+XqhsAH+9HHKuAIqkGMbYEL+zpFUh/8L3B/udzJOd4N/LZc3g+4LSJ+HBFHRsT0iNglIvaKiEMi4kSKAFIlsPPEAIx3s4jYseb2z+Vr+vHyMzUP2K1seznwpjIwCDwdwHljuXp1Zt7d4Xl/TfFdCU5rJEmSJEmS1jE7brEhFxwznZ+8ey9eudNURo545q9tR40IXrXT5vzk3Xvx+2P2t7KLJEmS+mxU+ybqcbPbrJOZyyLicuDF5aZHqFbKWE1mXhcRrwF+BmwAfKS81fsu8B99H3LnMnNVRBwFjATeTjHdzsqI+NcmUzINpq9SVNc4mmLqk/+p278QeDPwi3J9WX0HmflURLwauAjYHnh5eas1i6L6ywU0kJnzI6Iy5dNY4N/LW63/RzENTkfTTZV9XkB1uqbbMrNlkGSAzKGYnqji2sxsFYCYC7y/Zv3GzHy03Ukyc15Zgeckiud7e5pPVfQUxWv78cxc3qRNX50MfIoiPPKhiDihr9VzMnNlRBwKnAu8CngBMCsiDuzkOejjuZZGxJeB73TY/omIeC3F98HHKII9bytvzSyjqOD02TUcLhRToL23TZuHgBOB/6ybygjgYKpBr3PoUGYuiogLKargzIyIKeU0WpIkSZIkSZ176inir39l4t//DkD89a+wyy4wauj/ej8i2HubSey9zSQWL1vBgseWsWT5SiaMGcmUDcYycWzDQsuSJElSR4b+T8RaU1dSVEgYX67PbtJuNtXAy5x2YZHMnBURzwOOobiYuzVFBY4FFFU5vreWAhGV0MsRFKGXt1JU3VgZEe9dm6GXytQyEXE+xdRFe1A87/OB84Gvl8GRDcpDFjXp576IeCFwLMXj2YaiYsstFNVsTgKmtxnL6RFxK0W4YF9gI4rAzfXA6Zl5dkTM6ONDPJNq4OX0Vg0HUP10RO3eU/XTHbWbzuhpmfl34BURsT/FVFAzKKZ9mkgRArubImT0o8y8vUk3/VIGQk4AvgRMoghnfL0f/ayIiDdRVBZ5KcUUPb+LiJcNwvRTp1BMB7Vlh2NbBXwpIr5LUWHopcAuFCGfynRrCygqHM2hmC7q0QEeMxRVfxaX5/sbcDXF++Y3ZbWdRvoznVFt+1dS/Hv7NoopySRJkiRJkjr3j38wdo89OLB224MPwuTemv5n4tj1DLhIkiRpQMXaL4IhrbsiYhpwT7n6L5l5WjfH0xcR8SXgk8BKYMvMvL/NIZKGmNrvoHvuuYdp06Z1eUSShpKlS5cya9YsAGbOnMm4ceO6PCJJ0prwe12ShpGHHoLNNnvmth4MvEiSnsmf2SWtS+bPn8+WWz79d/RbZub8geh3xEB0Iqljh9YsX961UfRRRIykWuXid4ZdJEmSJEmSJEmSJEndZOBFGiARsX5EbN5i/wuBz5SrV2fmTWtnZAPi7UClFMT3ujkQSZIkSZIkSZIkSZJGdXsA0jAyGbg5In4J/B64FVgOPAt4OfAuYByQwLFdGmPHIuJ5wHrAHsAJ5ebrgfO7NihJkiRJkiRJkiRJkjDwIg20scBby1sjTwLvzsw5a29I/XZ73foK4L2Zmc0OiIj1gO37eb67MvPxfh4rSZIkSZIkSZIkSVqHGHiRBs69wFsoqrnsSVHxZRPgCeBu4ELgO5n5t24NsJ/+AVwDfDYzL2vTdgvgxn6e5wBgdj+PlSRJkiRJkiRJkiStQwy8SAMkM1cAZ5e3npeZ0e0xSJIkSZIkSZIkSZLUiIEXSQMmM+8GDMpIkiRJkiRJkiRJkgbViG4PQJIkSZIkSZIkSZIkSeoLAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPUUAy+SJEmSJEmSJEmSJEnqKQZeJEmSJEmSJEmSJEmS1FMMvEiSJEmSJEmSJEmSJKmnGHiRJEmSJEmSJEmSJElSTzHwIkmSJEmSJEmSJEmSpJ5i4EWSJEmSJEmSJEmSJEk9xcCLJEmSJEmSJEmSJEmSeoqBF0mSJEmSJEmSJEmSJPWUUd0egCRJkiRJkiRJamL8eFZ88pPccccdAGyzzTasN358lwclSZIkdZ+BF0mSJEmSJEmShqr11+epT3+aW2fNAmCrmTNZb9y4Lg9KkiRJ6j6nNJIkSZIkSZIkSZIkSVJPMfAiSZIkSZIkSZIkSZKknmLgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9ZRR3R6AJEmSJEmSJElq4pFHGLPffhywZAkAYyZMgLlzYZNNujwwSZIkqbsMvEiSJEmSJEmSNFStXMmIm29mg7ptkiRJ0rrOKY0kSZIkSZIkSZIkSZLUUwy8SJIkSZIkSZIkSZIkqac4pZEkSZIkSZIkSUPVBhuw/Ec/4obrrwdg5112YcwGG7Q5SJIkSRr+DLxIkiRJkiRJkjRUjRnDqje8gfsmTABgx5kzYcyYLg9KkiRJ6j6nNJIkSZIkSZIkSZIkSVJPMfAiSZIkSZIkSZIkSZKknmLgRZIkSZIkSZIkSZIkST3FwIskSZIkSZIkSZIkSZJ6ioEXSZIkSZIkSZIkSZIk9ZRR3R6AJEmSJEmSJElq4qGHGLfZZryudtuDD8Lkyd0akSRJkjQkWOFFkiRJkiRJkiRJkiRJPcXAiyRJkiRJkiRJkiRJknqKgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBFkiRJkiRJkiRJkiRJPcXAiyRJkiRJkiRJkiRJknqKgRdJkiRJkiRJkiRJkiT1FAMvkiRJkiRJkiRJkiRJ6ikGXiRJkiRJkiRJkiRJktRTDLxIkiRJkiRJkiRJkiSppxh4kSRJkiRJkiRJkiRJUk8x8CJJkiRJkiRJkiRJkqSeYuBF6oeI+FxEZETkEBjL3eVYzmiw7zmVcUbEkWtwjiNr+nnOGgxXkiRJkiRJkiRJkqQ1ZuBF0jqtLsyTEfG1Do6ZXba9u8Nz7BIRX4mIKyPigYh4MiIWRMTVEfG1iNh1TR9Hzbkqj2N2h+2P7EsoKiLGRsRREfHziLgjIpaUtzsi4hcR8c6IGDfQ521wfCXodXeT/WfUva6V27Lyub81Is6NiE9FxG59PX/Nef5U0/esJm3eXNPmlA77HR0R88pjlhg0kyRJkiRJkiRJQ8XiZSu4fcFirrvnUW5fsJjFy1Z0e0haR43q9gAkaYj5t4j4ZmY+uKYdRcRGwLeBw4Co271ZedsN+FhE/Bj4QGY+uqbnHSwR8TqKx/PsBru3Lm8HA5+LiA9m5i/X4vA6NYbqc78d8Hrg+Ii4Evj3zPxTpx1FxFbAi2s2vSQinpWZ99W2y8yfRcS5FM/Nv0TEWR2c55PAC8rl/8jMuzsdlyRJkiRJkiRJ0kDLTC6782HOvOxvzPrrAlauqk6EMXJEcNALpnDYXlux99aTiKi/LCYNDgMv0jBWXiT3X5S+WR/4BHDsmnQSEZsDFwA7lZvuBb4PzAUWApOA/YB3AtMoQjG7RMRBmXn/mpx7METEB4ETqb6fzgN+BtwBJLAN8CaKAMmWwC8i4pjM/PZaH+zqDgIqIZQRwEbAFGAvivFuDewJXBgRx2fmcR32ezjF87EcGEnxb+phwH82aPtvwAHluU+JiJ0z84lGnUbEC4D/KFcvBb7b4XgkSZIkSZIkSZIG3Lx7F3Hs2ddx24IlDfevXJWcf+MDnH/jA2w3ZQLfOmRXdtxiw7U8Sq2LnNJIkqoWlvfvLQMr/RIRo4CfUw27/BT4p8z8bGbOysxrMvMPZbDi+eV+yvbnRMTI/p57METEq4D/ogh3LAJempmvy8wfZeZlmXl5Zv44Mw8GXlK2CeDEiHhl90b+tNsyc155uyEz52TmzzLzI8C2FKGjJyj+TfxsRLyvw34PL+9/A8yq2/YMZYipEqLaBvhio3YRMQI4DRhNEaR5V2au6nA8kiRJkiRJkiRJA+ri2x/ikJMuaxp2qXfbgiUcctJlXHz7Q4M8MsnAiyTV+np5P5ZiSpn+OhbYu1z+PXBYZjb8KaDcfhhFNRiAfVjD6jIDKSImAKeXq6uA12TmH5u1z8yLgNeWbQM4PSLWH/SB9lNmrsrM0ymqwDxVbv5Wu8BTROxFMSUSwI+BH5XLO0bEbk3OdTrwh3L1QxGxZ4NmHwT+uVz+Qmbe0tkjkSRJkiRJkiRJGljz7l3E0WdezRNPruzTcU88uZKjz7yaefcuGqSRSQUDL9IAiIixEfGxiLgmIhaXtysi4v1ltY92xz8nIk6IiJvKY5+IiNsj4qSI2Knd8W36zfJ2ZIt2G0fEVyPilohYGhEPRsSFEfHmDs8zOiJeExH/HRFXRsQ/ImJFRDwcEX+JiM9FxKZNjn1tzRjf2sG5vlm2fSointXJ+PrgCuDX5fK7I2LLvnYQEaOBD5ery4GjM7PlTwHl/n8t2wN8uOxnKHgXMLlcPikzL253QGbOAU4uVzejqKAypGXmXOCEcnUM1dewmXeU9/8Afgv8Elhct6+RfwUep5gC6fsRsV5lR0Q8Bzi+XL2OxlMjSZIkSZIkSZIkDbrM5Nizr+tz2KXiiSdX8pGzryczB3hkUpWBF2kNRcQU4DKKi9MvBCaUtz2B7wC/KKcpaXb8O4BbgGOAHcpjxwHPo7g4fm1E/Mcgjv/5wDzg34HtKaqbTKaYmubsiPh+B92cDJwH/BuwB7ARMArYBHgRcBxwS0Ts2+DY3wL3l8tHthnrKIpqKAC/z8z7OhhbXx0HJEXo4dP9OP7lwNRy+ReZ+fdODirbnVuubl72MxQcUbP8X304rrbtUQM0lsH2bYrKNACvb9aoDCO9pVz9WWY+mZlLgV+U2w5tFnTLzLupVg/aEfhUze6TgPUpKs28MzOfQpIkSZIkSZIkqQsuu/PhjqcxaubWBYu5/M5HBmhE0uraVp6Q1NYvKIIq36aoDvIIRXDkM8DzgdcA76a4mP0MEfEq4AyKqV+WAN8ELqS44L0P8B/ApsCXI+LRzPzfgRx4RGxAMZVOpVLK/wN+ADxIMV3LsRRhhR3bdDUKuJMisHEF8PfyMWwFvJSiwsck4NyI2DEzH6wcmJkrI+IMisf6soiYlpnzm5znVRQVQwA6CeL0WWZeGxHnAm8AjoqIr2bmXX3oYnrN8q+btmrsPKBS5Wb/cr1rImJDYJdy9bbMvLXTYzPzloi4jeJ9tHNETMzMxe2O66bMnB8Rt1B8nreNiKmZ+UCDpq+mCHNBdSqjyvIRFO/RlwO/aXKq/6YIzOwD/EdE/IwiIDez3P/1zLx2jR6MJEmSJEmSJElaKx5esrx9ox502ty+XB5r1c+dbDdlwoD0NdRMmjCm20NY5xl4kdbcnsDMzJxds+2aiLgA+CswBXgfdYGXciqTk6mGXfbPzOtqmlweET+nqB6zOfCNiPhZZi4cwLF/BqhM2/PJzPxKzb6rI+Iciov2M1c78pmOA+7M1WuSXQX8PCL+B7iUonLMB8rz1joN+ARF1al3AF9ucp7K1DgP0fcwSV8cBxwMrEcx1r5MybNLzfI1fTxvbftdmrbqzPoR0S6oBLBFi307Uq0E1tfHUjlmO4rpe3aieA8MdddQBF4AtgUaBV4qUxbdDcyt2X4RcB9FgOwdNAm8ZOaqiHgXxbRFY4AzKcJhALcCn+/v4CNiWpsmlepDLF26lKVLl/b3VJKGoWXLljVcliT1Jr/XJWkYWbmSka99LQ8tLH4tOHnTTVm5ciX4/3pJ6mn+zD587H78Rd0ewpB24c0PsvvxF3Z7GIPi5uMO7PYQesZgXZMy8CKtue/UhV0AyMxHIuJ0iiDHThGxYWYuqmlyMNXKKsfXhV0qffwtIj5GUTliPEW1la8PxKDLaVneVa7eAHy1wflXlBfm76QIfzSUmXe0Oldm3hgRp1JM2/R66gIvmXlHRMwGDqCY1mi1wEs5ddQry9UfZeaKVudcE5k5LyLOpqjC8Y6I+Epm3t7h4ZvWLDcKS7SyoGZ5Uh+PrbcHcOMa9rEmjwUG9vGsLQ/XLG9cvzMiJlF9H55VG/IqgyxnAR8FXhMRG2Xmo41OUlbA+QLwJYqp0KCYSutdmbkmUfB7Om04Z84cNt100/YNJa2T5syZ0+0hSJIGkN/rkjQMvLPu77H+8pfujEOSNCj8mb3Xecl9XTVr1qxuD6FnLFw4kDUdqka0byKpjR+32Hd1eR/Ac+v2vbS8T1pPz/MzoBKUeWmLdn21O9UL+j9oUJ0FKKZ5Afr0bR0RG0fENhHxgojYsaw08mi5e4eyuk29U8v7bSNivwb7D6P6E8OgTGdU53PAKorqJMf14biJNct9ndiwtv0GfTx2MKzJY6k/Zig8nk7Ujnlig/2HUg1//ajB/sq2scCb25zrPymqvFR8NzMv6WCMkiRJkiRJkiRJ0jrPuJm05m5pse+RmuX6i+eV6WbuysyHmnWQmU9GxLXAjJpjBsJONctXtml7BfCqVg0iYifgw8ArqJk2pYERFEGbB+u2/wL4R7nvKJ45VQzlNoArM3Nem/GusbICx4+Bw4FDI+JLmXlzB4curlmeQDWs1InaCQwf68Nxjfw5M2e0axQRRwKnN9ld/1j6aiAfz9pS+zltNOYjyvtrGr0fMvP6iJhH8Vl9B3BKsxNl5lMR8Stg13LTz/s14mfass3+qZSf9+nTpzNtWrsZkCStS5YtW/b0XxNNnz6dsWPHdnlEkqQ14fe6JA0vfq9L0vDjd/swcplTGq2rZs6c2e0h9Iz58+cPSr8GXqQ1lJlPtNi9qmZ5ZN2+Tcr7+uBHI5XpZDZp2apvavtqN4YFrXaW0x59j86/U8bVb8jMZRHxI+ADwCER8cHMfLzs/0XAC8qma6O6S8XnKSp6jKKo+PKWDo6prcc1lb4FXqbULD/ctNXaU/9Y+mqoPZ5O1M7xUxtYIyKeTzFVFDSu7lJxJvA1YN+IeG5m3jWwQ2yurMjUVEQ8vTxu3DjGjVvtoyhJAIwdO9bvCEkaRvxel6Thxe91SRp+/G7vbVd/eiAnaBgalix/igO+MZtVDeeH6JuRARd9dAYTxgy/aMK4cWO6PYSeMVjfccPvXSX1ngH4p2KN9XsMEfFPVMMuDwJfBy4C7gYWZ+aKst07gdMqhzXp7lSKwMsE4E3AD8rtleouS4Gf9HesfZWZd0TED4F3Am+OiOMz88Y2h91AdeqpFwK39uGUu9UsX9+H4wbLPIrQ1giKx9JXlcezsuyrF9Q+ztvq9r2jZvlbEfGtNn1FecznB2JgkiRJkiRJkiRp6Jk0YfiFHiZNGMPLd5zK+Tc+0L5xGy/fcXO2mrT+AIxKWt2Ibg9AWodVqkdMadmqUKmu8UjLVn3zj5rldmNotf9IirDLSuDFmfmNzLwmMx+phF1KbavTZOYNVKdXOgogIsYCby23/SIz+1IxZSB8EVhBEV74Qgft59Qsv7aP56ptP6dpq7WkfK5vKFe3j4jtOj02IrYHKu2vz8whP6VRRGwJbF+u3lo71VhEjADe3o9uDx+IsUmSJEmSJEmSJK1Nh+211ZDqR2rECi9S98wD9gaeGxGTay+u14qI9ahWnRjIKhm1lUr2BC5u0XbPFvsqUw1dn5m3tGi3R4t9tU4tzzc9IrYG9gI2KvetzemMAMjMuyPiNOA9wOsjYrc2h/yeYgqoKcDBETGt3TQz8HTY4vXl6v3ABf0f9YA6AzixXP4g8P4Oj/tgXR+94INUg6Dn1u07ANiyXP4OcGmbvv4ZOAbYJiL2zcxLBmqQkiRJkiRpHbNoEaOPOoo9FhSzjo/+wQ/g9NNhww27PDBJkjSc7b31JLabMoHbFizpdx/bT5nIXlu3/Zt4qd+s8CJ1z4XlfVCdsqeRNwGV/71e2KJdX11NtcrL4RHRcJqhiNgCmNmin0pwrmktsojYnM6rnfwEeJzieTmS6nNzF/CnDvsYaF8ClpfLLau8ZOZyqgGRscBJZXWQpsr93yvbA5yQmU/2e7QD6/vAwnL5PRGxb7sDyjZHl6sP0oWgUl9FxH4UARWAZVRfw4rKdEYrgeMz86etbhTvmafqjpUkSZIkSeq7J59k5LnnssWll7LFpZcy8txz4cmh8qsjSZI0XEUE3zpkV8aPHtmv48ePHsk3D9mFJpcgpQFh4EXqnl8C95XLn4qIneoblFU/vlGuPgGcPlAnL4MZlf52BT7W4PyjgFOA0S26ur283zYi9mnQx3jgLGBch+NaDJxdrh4NHFgun5GZ2UkfA62s0HJyufoqqlVtmvkG8Jdy+ZXADyNiQqOGEbE+8MOyHRSVQ761RgMeQOXr8a5ydSTwm4g4oFn7iJgB/KZsC3BUZj4+mGNcExExIiKOpKioUwlvfSgzF9S0WR94Q7l6cWY+2K7fzFwI/LlcPSQiht8EnpIkSZIkSZIkaVjbcYsNOenw3fscehk/eiQnHb47O25hRToNLqc0krokM5+MiH8Ffg1sAFwSEV8H/khRRWIf4BPAZuUhHy0vog+kLwCHANOAr0XErhThiweB7YBjKaYXuormUxKdCXyAIkD32/IxzKWokrE78GFgW+ASoG11kNKpFJVdKo99Fd2fFucrwL9QBHc2bdUwM5+KiDcCs4AdgLcDL46I71NMHfUwMIni+XgX1aly5gFvzsyVg/II+ikzz4uIj1AEeTYCLoqIXwLnAHcACWwDvBE4mKI6TwIfzszzOzjFfh2me8/LzEf6/ABgu5rA0QiKiklTKaYdOhjYuty3Cvh8Zp5cd/wbgMrxP+/DeX8OvITiOXst8LM+j1ySJEmSJEmSJKmL9t92MmcfvTfHnn1dR9MbbT9lIt88ZBfDLlorDLxIXZSZv42Io4CTgIkUAZT6KXNWAp/JzP8dhPMvioiXU0yVNBU4tLzVOoOiUkXD6jKZeWVEHAd8nuLC/pcaNPsmRZijo8BLZl4aEX+lCIsA/DEz/97JsYMlM++PiP8BPtJh+3vLaXL+m+I5nQZ8tllziio478/MRwdguAMuM78VEXcD/0XxWF5f3hq5h6JKyrkddv8uqlVkWnkh0J/AywUdtLkC+Hhm/rnBvsqURAn8og/n/QXF6z+i7MPAiyRJkiRJ6rvx41nxyU9yxx13ALDNNtuw3vjxXR6UJElal+y4xYZccMx0Lr/zEc68/G4uuGkBK1dVJ2YYNSI46AVTOWyvrdhr602cxkhrjYEXqcsy8wcR8WfgGGAm8GyKC+T3ARcB38nMGwfx/DdFxAuAf6eodvFsYDFwI3BKZv6knPKlVR9fiIirgA9RVIRZn6JKzBXA9zLzD+36aOBHwJfL5e/38djB8jXgPRSPr63M/Afw9rLqzaHASymquWwEPArMpwgbnZWZ1w38cAdWZv4i4v+zd+dhdlVl/vbvJwlJiiQEEkIiJCKzQBQQRMIQQDQ4gSKItoCCE0o7INr9a1GERhu7+wXa7sa2URAQcaARUAQlIkMYZUYmBRk0YUjCFBIykjzvH3uXdTicU1OqatdJ7s917WtPa639nKripKj61lrxa4rXcgDFUljts/DMA+6mWM7ox5m5pIoau2E5sIDi4/8AcBtwebOPf0RsQseyWjdn5pON2jWSmXMj4kZgL+AdETEhM+evRu2SJEmSJGltNGoUL3/ta/xp5kwANp0xg3XaurV6uCRJUp+JCKZtMZ5pW4xn4dIVzH1xKYuWrWT0iKFMXG8kY0auU3WJWgtFZnbdSpIGWERcAHwYeB54TWYuq7gkqeVFxGSKGXiYPXs2kydPrrgiSYPJkiVLmFn+AH3GjBm0+QN0SWppvq9L0prF93VJWvP43i5pbTJnzhymTJnSfjolM+f0xbhD+mIQSepLEbE+xWwzABcYdpEkSZIkSZIkSZIk1TLwImkw+jzQHmX+3yoLkSRJkiRJkiRJkiQNPsOqLkCSImIY8DpgBLAvcHx565eZeX9VdUmSJEmSJEmSJEmSBicDL5IGg8nAw3XXFgDHddYpIkYBm/XymX/KzBW97CtJkiRJkiRJkiRJqpCBF0mDzTzgZuCrmflIF23fDFzTy+dsBjzey76SJEmSJEnSwHjuOUbsuSf7LloEwIjRo+GGG2DcuIoLkyRJkqpl4EVS5TLzcSCqrkOSJEmSJEkadFauZMiDD7Je3TVJkiRpbWfgRVLLysxrMSgjSZIkSZIkSZIkSWudIVUXIEmSJEmSJEmSJEmSJPWEgRdJkiRJkiRJkiRJkiS1FAMvkiRJkiRJkiRJkiRJaikGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWYuBFkiRJkiRJkiRJkiRJLcXAiyRJkiRJkiRJkiRJklqKgRdJkiRJkiRJkiRJkiS1FAMvkiRJkiRJkiRJkiRJaikGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWYuBFkiRJkiRJkiRJkiRJLcXAiyRJkiRJkiRJkiRJklqKgRdJkiRJkiRJkiRJkiS1FAMvkiRJkiRJkiRJkiRJaikGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWMqzqAiRJkiRJkiRJUhNDh7Jq221ZtGgRAKNHj2bI0KEVFyVJkiRVz8CLJEmSJEmSJEmD1bhxLLvjDq6ZOROAGTNm0NbWVnFRkiRJUvVc0kiSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKQZeJEmSJEmSJEmSJEmS1FKGVV2AJEmSJEmSJElq4qWXGHbKKWzzyCMADLv1Vjj+eBg1quLCJEmSpGoZeJEkSZIkSZIkabBavJh1TjmF19deO/ZYAy+SJEla67mkkSRJkiRJkiRJkiRJklqKgRdJkiRJkiRJkiRJkiS1FJc0kiRJkiRJkiRpsBo+nJUHHcTTc+cCMGniRIYOH15xUZIkSVL1DLxIkiRJkiRJkjRYjR3L8gsu4PaZMwGYMWMGbW1tFRclSZIkVc8ljSRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWYuBFkiRJkiRJkiRJkiRJLWVY1QVIkiRJkiRJkqQmFixg+FFHscvcuQAMP+88OOccGDu24sIkSZKkahl4kSRJkiRJkiRpsFq+nKGXXMImtdfOPLOqaiRJkqRBwyWNJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKQZeJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRpLVMRHwnIrLc3thF2/+oaTuri7YjImJJ2fb3dfeOrBnnyAZ9X1dzPyPilm68jpNq2r+uvLZP3Ti92R5v8ozubu9rUOvjTdquiIhnIuLmiPhW++uQJEmSJEmNLVy6gofnLuTu2S/w8NyFLFy6ouqSJEmSJFVkWNUFSJIG3PXAMeXxXsAfOmm7V83xrhExIjOXNWn7ZmBkedxpOKYb3hIR787My1dznMFuGDC+3HYDvhARn87MH1ZbliRJkiRJg0dmcvOjz3L+zX9h5gNzWbkq/3Zv6JBg/+0ncvhumzJt8/FERIWVSpIkSRpIBl4kae1TG0bZC/hOo0YRMQbYsTxdCYygCLXc0GTc2nDM6gZeAE4Gehp4uQ14Q5N7GwNXlse/AL7WpN3yJtc/Vo7flb90cu9JYP+a8zZgS+AI4J3l+Q8i4uHMvLkbz5IkSZIkaY123xMLOO7Cu3lo7qKG91euSq6492muuPdptp44mtMP3ZGpm4wd4ColSZIkVcHAiyStZTLzyYh4BNiCV4ZU6u0ODAWeA24HZgDT6TrwsqqTNt3xDLAh8KaIOCgzL+lux8x8Cbiv0b2IqP3J2AuZ2bBdJx7rRZ96KxqMcRvwk4g4DTiO4mP+VeA9q/ksSZIkSZJa2vUPz+fo8+9g8fKV3Wr/0NxFHHrmzZx5xM7stdWEfq5OkiRJUtWGVF2AJKkS15f7jSNiiyZt2gMsN9W0bxiQiYghFAEZgPsy8/nVqO1cYH55fFKsPXMRnwC0Lxe1b/kxlSRJkiRprXTfEwt6FHZpt3j5So4+/w7ue2JBP1UmSZIkabDwl2mSVltEbBwR/xoRd0bEgohYERFzI+LeiPhJRBwZEes16Ts2Ir4SETdGxPyIWB4RT0XEZRFxSGdhh4gYFREfjIizIuLummfPj4jrIuLLETG6G/UfFBGXRsSciFgWEQsj4tGIuD4ivhERu3bSd3hEHBMR19TU/3REXBERh3cWWoiIcyMiI+Lx8nz9iDg5Iu6PiJci4oWImBURh3X1GnqhflmjRtqvX0/HjC27N3lNbwTa5wte3eWMXgL+tWbcD6zmeC0hMxcDj5an6wLjKyxHkiRJkqTKZCbHXXh3j8Mu7RYvX8mXLryHzOzjyiRJkiQNJi5pJGm1RMRewK+A+kDLRuU2FfgQxTI1v6rrux/wM179i/1JFMu5vAe4IiI+mJmNFmq+HNi7wfUNKZbemQ4cExHvysw/Nqh9KPATXh2oGA6MBjYD9gTeCezSoP/rgF8Dr6+7NbHs807g6Ih4b2Y+16DO2rG2AX4DvK7u1l7AXhExLTM/29kYPVQbSplOMatKbT0jgPagzw3AXcAKis/zjsCdDepsNHZvfRf4MvAailleLsrMVX0w7mC3vOZ4RWVVSJIkSZJUoZsffZaH5jb6UVD3/WnuQm559DmmbeHfk0iSJElrKgMvknqtDEX8lCIEsZAipHANMI8iNLIZxTI3BzXouwdFWGQdYC7w38A9wJPAxsAHgcOBdwHnAQc3KGEYcC/wS+D2sm8Am5bPPLSs4dKI2DEzl9b1/wwdYZcbgLOARyhmGBlPMbvIO+iYuaS2/tHA74DNy0uXAj8oa9gM+CxFGGdP4LKImJ6Zzf4saV3gsvKZ3wSuAhYBOwEnApOBv4+IyzLzyiZj9EhmPhIR7R/rRjO8vBkYCSwFbs/M5RFxJ/CWsn2/Bl4yc0lEfAv4L2Bb4MPAj1Z33MEsIoYBW5WnCzLzhQrLkSRJkiSt5Z5dtKzrRv3k7Bse66NxHmXriV1O/tsvxo8eUclzJUmSpLWJgRdJq2MPisAEwIcz81d1928BfhIRX6QIdQAQEetQhBfWoZjV5OByOZd2dwK/iohZwPeA90fE2zPzt3XjH5WZDzeo6/fAhRFxNnAlsA1wGHB2XbtDa9rvm5kv192/Cjg9IsY1eMaJdIRdvpmZJ9TcuyMifg6cXz53d+BTFIGgRiZQBISmZeb9deNcSxHqGQkcU76evnI9RbBoy4iYlJlP19xrD7Dcmpnts47cQEfg5T/rxmpv/1Bmzu2j+r4H/CNF4OfrEfGTTkJDA2GziHimizbLM/OhXo7/eTr+O7moNwNExOQumkxqP1iyZAlLlizpzWMkraGWLl3a8FiS1Jp8X5e0unb+5tVVl7DarnpwHjt/86pKnv3giW/tu8GWLKHtVZeWgP9fL0ktze/ZJa1N+ut3UgZeJK2OSTXHTWf1KIMkL9Zc+hDF0j1LgY/UhV1q+30/Ij5BsbTOkcBv6+43CrvU3r8qIn4JvK/c6gMv7fXf1CDsUjvOK5YjKme2+UR5ej9wUoM+GRHHUMwQM55ixpdmgReAE+rCLu3j/DkiLqX4mO3ZSf/emEUReIEisPJ/NffaAyw31Fy7AfhSfR0RsSUdH8u+WM4IgMxcFhH/QvFx2wr4CHBOX43fCz/oRpu/8OplqZqKiDZgC+CjwLHl5XnAKT2srd3s7jacNWsWG264YS8fI2lNN2tWn72dS5IGAd/XJfWOPzpeHTNnzuyzsYYvWMA7665de+21LB/7qkmJJUktyu/ZJa3pnnmmq78p750h/TKqpLXFUzXHR/Wg34Hl/rrMnN9F2/bv8qZ1NWhETIiIrSJiavsGtI+/Q4Mu7fUfEBE9+c3/zsD65fG5zWYdycwXgQvL0+0i4jVNxkvgx508745yPy4i1u+kXU/Vfgc9vf0gIoZQzN4Drw68AEyMiG1qrvfpckZ1zgYeL49PKGcHamWbRkS2b8Biihl8vkzxk8RrKWYberTCGiVJkiRJkiRJkqRBz5i+pNVxA/AoxdI+346Iw4BLKEIPt9UshVNvl3K/f/lL/+6Y1OhiROxBsRTM24BGSw+1axRoOY8i6LEl8OeIuJhiFpnrM3NOJ2NNrTn+fWdFl/c/U9PvqQZtnsnMZzsZo3aGmTHAC108s7vuL8cexytDKzsA6wGrgJvaL2bmMxHxR+D1Zfs/lbdq+17fR7W1P3NFRHyDIviyGfAx4My+fEYP7JuZ1/bj+AuA72TmA6sxxpQu7k8CbgOYPn06kyd3tQKSpLXJ0qVL//bXRNOnT2fkyJEVVyRJWh2+r0tabTe3/pJGVZoxY0bfDTb/1X8vts8++8CECX33DEnSgPN7dklrkzlzOvvVa+8ZeJHUa2UY4QDgImBb4M3lBrAkImYBPwR+VjcLyka9eFz9UsVExEnAib3tn5k/iIgtgH8ExlLMUnNUOfYjwC8oAgj1s23UBmvmdfHcp5v0q9VwSacaq2qOh3bRttvKZZduoJhx5w0RMTYzF9ARYLm3PK91Ax2Bl7PKa+3tZ2fm431VX40fAl+hCCZ9NSLOzcxl/fCcgfAksH/N+QSK/2a+SBFGuTAi/i4zf9abwbsIahERfztua2ujre1V/1lIEgAjR470PUKS1iC+r0vqjTu+9rZKnrto2cvse+q1rOrun0h1YmjA1V/eh9EjBv7H4G1tI/pysAaX2hpelyS1Jr9nl7Sm66/3OAMvklZLZj4QEW8ADii39hlT2ih+sb8/cFxEvCsz28Mh7aGNX1OETXosIvajI+zyKHAqRRjjr8BLmfly2e5k4IRO6v9qRHwPOAzYD9gNWBfYAjgO+FxEfD4z/7fZEL2pfxCZRRF4GQLsCVxOx/JGNzRofwPwifY2ETGJ4vPdPlafy8yXy8/jDylmMPkkcEZ/PGsArMjM++quXRMRPwJuBTYBvhcRN2fmXwe+PEmSJEmSCuNH92Fgo4fPfcfUSVxx79NdN+7CO6a+hk3Hj+qDqiRJkiQNRkOqLkBS68vMlZl5aWZ+PDO3AjamWHrmjrLJzrxyGZr25XuGZ+Z93d3qHvvJcv88sFtmfjcz783MBe1hl1Jnyxy11/+XzDwlM/cD1gf2AP4TWAqsA/xPROxU06V2iaGJXQxfuxTTc01bVac2pNI+U8ue5b7R8kTtIZjXRcRkOsIx9WP1tR8DfyyPj4+INWpux8x8Evh0eboe8C8VliNJkiRJUqUO323TQTWOJEmSpMHJwIukPpeZT2XmOcA04M7y8nsion2uqrvK/S4RMbyXj9m+3F+Tma9eyLjDLj0ZNDNXZOZNmXks8OHycgCH1DSrDd+8pYshd23Sb7C4C1hUHu8VEVvTEeJ51QwvmfkI8FR7ezpCMtCPgZdySayTytPXAJ/pr2dVJTN/RcfH/MMRsV2V9UiSJEmSVJVpm49n64mjV2uMbSaOYbfNu/w7qNYwYQJLFi/mF5deyi8uvZQlixfDhAlVVyVJkiRVzsCLpH6TmSuA68rTYRSzpwD8styPBY7q5fDtS7I1nZe2nJWlq0BKZ35Xc7xhzfEdwAvl8UcjouF7aUSMAQ4tTx/IzKcatatSORvOzeXpLhRLUAE8nplPNOl2Y7mfTkfgZV5m/rFJ+75yIXBvefxPdPK5b2HfKPdDgK9WWYgkSZIkSVWJCE4/dEfWHT6068YNrDt8KKcdugMR0ceVSZIkSRpMDLxI6rWI2Csituzk/nBg7/J0EdA+E8t5wOzy+NSImF7ft26cPSNi77rLD5f7PRvVEBETgPO7GPfwiBjWSZMZNcePtR9k5jLgrPJ0KnBCg7EDOIOOoMwZndVSsfaZWYYDx5bHjZYzatc+C8k7gTd0o32fyMykY5aXjYAj+/uZAy0zZwK3l6cf7Oy/L0mSJEmS1mRTNxnLmUfs3OPQy7rDh3LmETszdZOx/VSZJEmSpMGis1/0SlJX9gNOiIjrgcuBP1CEWtqArYFPA28q255dziZCZi6LiEOBa4HRwNUR8VPgUopgyRCKZWt2Bg6iCFV8jo7ZYgB+CBxAMcvHdRHxrxQzrwDsDhwHTKKYvWRak/rPpwjcXAzcBDwCLKVY0uftdCybswi4oK7vycD7gc2BkyLiDcA5FMv9bAZ8FtinbHsz8L0mNQwGtWGVzcv9q5YzqtF+r3Yh7H5bzqjOJRTLMO3EK2fdGQibRcQz3Wj3TGY+vRrP+ReK1zkU+Arw8dUYS5IkSZKklrXXVhO48OhpHHfh3Tw0d1GX7beZOIbTDt3BsIskSZK0ljDwIml1DaGYxaV+BpZav6D4xf3fZOYtEbEPxTI1U4DDyq2ZF+v6XxQR51AsibQx8F917VcCXwQ2oHngBYpwy2foCLfUWwB8KDNn117MzIURsR/wa+D1wMHlVu9G4MDMXNlJDVX7PbAMGFFzrbPAy90UIaDaxbQHJPCSmRkRXwcuG4jn1flBN9v9Jx0z5fTGL4D7ge2BIyLinzPzr6sxniRJkiRJLWvqJmO58tjp3PLoc5x/y+Ncef9cVq7Kv90fNiTYf/tJHL7bpuy2+TiXMZIkSZLWIgZeJK2OUylmdXkbxYwbG1MsNQPwNHAr8MPMvLxR5zL0shXF0jQH0DFrxyqKmWIepJjV5eeZ+acG/T8WEVcDnwJ2pFiS52mK8MUZmXlrRJzUSf1TgXcDewJbUIRf1gcWAn8ErgS+m5lzm9T/eETsAHwS+EA53nrAcxSzkFwA/DgzV3VSQ+Uyc2lE3EbxcQB4luJj36z9yoi4mWIWHChCQX/o3ypf8fxfRcStwK4D9cyBVIZ6TqH4+lkH+H/A31dblSRJkiRJ1YkIpm0xnmlbjGfh0hXMfXEpi5atZPSIoUxcbyRjRq5TdYmSJEmSKhCZ2XUrSZLU8iJiMjAbYPbs2UyePLniiiQNJkuWLGHmzJkAzJgxg7a2toorkiStDt/XJWkNsmwZyy66iD/ccw8Ab9xhB0YccgiMGNFFR0nSYOb37JLWJnPmzGHKlCntp1Myc05fjOsML5IkSZIkSZIkDVYvvsiIww/nzbXXZsyACROqqkiSJEkaFIZUXYAkSZIkSZIkSZIkSZLUEwZeJEmSJEmSJEmSJEmS1FJc0kiSWlBEbAaM6kXX5zPzib6uR5IkSZIkSf1k6FBWbbstixYtAmD06NEMGTq04qIkSZKk6hl4kaTWdA6wdy/6nQcc2belSJIkSZIkqd+MG8eyO+7gmpkzAZgxYwZtbW0VFyVJkiRVzyWNJEmSJEmSJEmSJEmS1FKc4UWSWlBm7lN1DZIkSZIkSZIkSZJUFWd4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWYuBFkiRJkiRJkiRJkiRJLWVY1QVIkiRJkiRJkqQmXnqJYaecwjaPPALAsFtvheOPh1GjKi5MkiRJqpaBF0mSJEmSJEmSBqvFi1nnlFN4fe21Y4818CJJkqS1nksaSZIkSZIkSZIkSZIkqaUYeJEkSZIkSZIkSZIkSVJLMfAiSZIkSZIkSZIkSZKklmLgRZIkSZIkSZIkSZIkSS3FwIskSZIkSZIkSZIkSZJayoAHXiJinYjYrtxGNLg/MiJOi4jZEbEkIh6IiM8NdJ2SJEmSJEmSJEmSJEkanIZV8MyDgJ8AzwGTG9y/BJgBRHn+euDbEbFNZn52YEqUJEmSJEmSJEmSJEnSYFXFkkb7U4RZLs3MZbU3IuLd5X2AORThlyfK9p+JiN0HslBJkiRJkiRJkiRJkiQNPlUEXt4EJHBdg3sfK/cPAdtn5sHAVODB8von+r88SZIkSZIkSZIkSZIkDWZVBF42Kvd/rr0YEUOA/SjCMP+dmQsBMnMBcAbFLC/TBrBOSZIkSZIkSZIkSZIkDUJVBF42LPdL6q7vCKxXHl9ed+++cj+ln2qSJEmSJEmSJEmSJElSi6gi8LKs3G9Yd316uZ+TmX+pu7ew3A/tt6okSZIkSZIkSZIkSZLUEqoIvLSHWd5Sd/0AiuWMZjXoM67cz++voiRJkiRJkiRJkiRJktQaqgi8XAME8LmI2BYgIg4E9invX9Ggz9Ry/1S/VydJkiRJkiRJkiRJkqRBrYrAy38Dy4GNgPsi4hngEooQzBPAzxv0mUEx+8sfBqpISZIkSZIkSZIkSZIkDU4DHnjJzIeBI4DFFCGXceX+BeDvMnN5bfuImAS8vTy9euAqlSRJkiRJkiRJkiRJ0mA0rIqHZub/RcR1wLuBSRRLFf0yM59r0PyNwI/L40bLHUmSJEmSJEmSJEmSJGktUkngBSAz5wHndKPdTGBm/1ckSZIkSZIkSZIkSZKkVjDgSxpJkiRJkiRJkiRJkiRJq6OyGV7aRUQbsDPF0kbrApdm5ovVViVJkiRJkiRJkiRJkqTBqrLAS0RMAU4BPgCsU3PrduCBmnYfB44GFgAzMjMHsk5JkiRJkiRJkiRJkiQNLpUsaRQRbwHuAj4MDAei3Bq5DHgj8FZgxoAUKEmSJEmSJEmSJEmSpEFrwAMvEbE+8AtgHPA0cAzwhmbtM3Me8Ovy9N39XZ8kSZIkSZIkSZIkSZIGtyqWNPo8sBHwDDAtM/8KENFsghcArgLeC+za79VJkiRJkiRJkiRJkiRpUKtiSaMDgARObw+7dMP95X6L/ilJkiRJkiRJkiRJkiRJraKKGV62LPezetDn+XK/Xh/XIkmSJEmSJEnS4LXBBiy9/XZuuukmAHbffXdGbrBBxUVJkiRJ1asi8DKy3K/oQZ9R5X5JH9ciSZIkSZIkSdLgNWwYud12LJwzB4DcbjsYVsWP9iVJkqTBpYoljeaV+8160GfHcv9k35YiSZIkSZIkSZIkSZKkVlNF4OX35f6d3WkcEQF8Ekjg+v4qSpIkSZIkSZIkSZIkSa2hisDLBUAAh0XEjt1ofxqwQ3l8Xn8VJUmSJEmSJEmSJEmSpNYw4IGXzPwFcA0wDPhdRHwmIjaqaTIsIjaOiA9ExPXAFyhmd7k4M28a6HolSZIkSZIkSZIkSZI0uAyr6LkHA78DdgLOKLcs791V1zaAW4AjB6o4SZIkSZIkSZIGhZdfJh54gDF//SsA8cADsMMOMKyqH+9LkiRJg0Ml3xFn5gsRMQ04ETgGGNuk6WKKMMzXM3P5QNUnSZIkSZIkSdKg8PzzjNxlF95ae23ePJgwoaqKJEmSpEGhsgh4GWD5akScAuwN7AJsBAwFnqWY6eWqzFxQVY2SJEmSJEmSJEmSJEkafAY88BIRHykP/5SZv8/Ml4Aryk2SJEmSJEmSJEmSJEnq1JAKnnkucA6waQXPliRJkiRJkiRJkiRJUourYkmjBcB6wMMVPFuSJEmSJEmSpNYxYQJLFi9m5syZAMyYMYO2traKi5IkSZKqV8UML4+V+w0qeLYkSZIkSZIkSZIkSZJaXBWBl0uAAA6o4NmSJEmSJEmSJEmSJElqcVUEXv4T+AvwmYjYr4LnS5IkSZIkSZIkSZIkqYUNeOAlM18E3g78EfhNRHwvIvaJiHEREQNdjyRJkiRJkiRJkiRJklrLsIF+YESsrD0FPl5u7fc7656ZOeA1S5IkSZIkSZIkSZIkafCoIjxSn2hxVhdJkiRJkiRJkhpZtowhF1/MxvfcA8CQRYvgkENgxIiKC5MkSZKqVUXg5Z8reKYkSZIkSZIkSa3nxRcZcfjhvLn22owZMGFCVRVJkiRJg8KAB14y08CLJEmSJEmSJEmSJEmSem1I1QVIkiRJkiRJkiRJkiRJPWHgRZIkSZIkSZIkSZIkSS3FwIskSZIkSZIkSZIkSZJayrCBfmBEfH11+mfmyX1ViyStaSJiH+AjwG7AZGBdYDHwJPAQcCtwFXBrZq6q63su8NHydLPMfLwbz3sc2BT4S2a+rsH9rLu0d2bO6sa4vwXeVnPpnzPzpEEwflfuycwd68Y4EjinSfuXgHnAncDPgJ/Xf14kSZIkSWoFC5eu4OkFS3lp+UpGDR/KpLEjGTNynarLkiRJkrQGG/DAC3AS0NNfINYy8CJJdSJiNHA+8L4Gt8cA25TbAcA3gHcCvxmo+mocDnQaSImITYC3DtLx+9ooYLNyOxi4ISIOzMznqy1LkiRJkqSuZSY3P/os59/8F2Y+MJeVqzp+7Dt0SLD/9hM5fLdNmbb5eCKiwkolSZIkrYmqCLwA9OT/brKH7SVpbXQRsH95/Gfg+8BtwPMUoYqtgD2AA4GNKqhvKTAS+EBEfC4zl3XS9sMUS+619xkM498OHNWNdku6uP814Bc15xsDOwP/AGwA7An8CHh3N+uSJEmSJKkS9z2xgOMuvJuH5i5qeH/lquSKe5/minufZuuJozn90B2ZusnYAa5SkiRJ0ppsyEA/MDOHdLUBo4E3AacCK4AbgUnlPUlSjYh4Nx1hlyuBqZn575l5TWbenZk3Zua5mflJioDFIcDsAS7zSmAZsD7FLDOdOaLc/6LTVgM7/kuZeV83tke6GOeJuvYzM/NbwBuBBWWbd0XELj2oTZIkSZKkAXX9w/M59Mybm4Zd6j00dxGHnnkz1z88v58rkyRJkrQ2GZQBksxcXP6S9h+BtwG7AFdGxIiKS5Okwei9Ncdf6mx2k8xcmZk/z8z7B6CuWi8Al5XHRzRrFBE7AG8oT384iMbvV5k5B/jvmktvq6oWSZIkSZI6c98TCzj6/DtYvHxlj/otXr6So8+/g/ueWNB1Y0mSJEnqhkEZeKmVmTcA36X46/djq61GWvNFxMYR8a8RcWdELIiIFRExNyLujYifRMSREbFek75jI+IrEXFjRMyPiOUR8VREXBYRh0QnizVHxKiI+GBEnBURd9c8e35EXBcRX46I0d2o/6CIuDQi5kTEsohYGBGPRsT1EfGNiNi1k77DI+KYiLimpv6nI+KKiDg8Ipq+Z0bEuRGREfF4eb5+RJwcEfdHxEsR8UJEzIqIw7p6Db3w2prjP/fD+H3l/HL/zogY36TNR8r9ncADg2z8/nZvzfGUyqqQJEmSJKmJzOS4C+/ucdil3eLlK/nShfeQmX1cmSRJkqS10bCqC+imX1GEXT4E/Fu1pUhrrojYi+K/t/pAy0blNpXiv8Nnyna1ffcDfgbUBw0mAe8ptysi4oOZ2Wi+28uBvRtc3xCYXm7HRMS7MvOPDWofCvwE+EDdreEUy6RtBuwJvJNi1qj6/q8Dfg28vu7WxLLPO4GjI+K9mflcgzprx9oG+A3wurpbewF7RcS0zPxsZ2P00PKa422Bu/tw7L70a+BZiq+RDwHfqb1Zfg4/XJ6eT8/19/j9rfbzuKKyKiRJkiRJauLmR5/t9jJGzfxp7kJuefQ5pm3R7G9VJEmSJKl7WiXw0v7L5S0qrUJag5VLhv2UIuyykGJmpWuAeRShkc2A3YGDGvTdgyJssA4wl2JplnuAJ4GNgQ8ChwPvAs4DDm5QwjCKGS5+Cdxe9g1g0/KZh5Y1XBoRO2bm0rr+n6Ej7HIDcBbwCPASRQDijcA7gLEN6h8N/A7YvLx0KfCDsobNgM9ShHH2BC6LiOmZ2exPmdalWFpnPPBN4CpgEbATcCIwGfj7iLgsM69sMkZP3QkcUB6fEREHZeagWxQ7M1dExE+Bv6dYdug7dU3eRhGQepkivNQ2mMYfANvWHD9eVRGSJEmSpIH17KKmKxMPOmff8FgfjfMoW0/sciLfyo0fPaLqEiRJkiR1olUCL9tUXYC0FtiDIpwC8OHM/FXd/VuAn0TEFylCHQBExDrAjyjCLr8BDs7MxTX97gR+FRGzgO8B74+It2fmb+vGPyozH25Q1++BCyPibOBKiveDw4Cz69odWtN+38x8ue7+VcDpETGuwTNOpCPs8s3MPKHm3h0R8XOKGUEOowj9fIoiENTIBIqA0LTMvL9unGspQj0jgWPK19MXzgb+geLzsgfwl4i4HLiO4uNxT2Yu76T/QPohRSDlLRGxVd3n/IhyPzMz55az7gyW8UdFxNRutJuTmS/0YFwAImIMRbAKYCVF6KrHImJyF00mtR8sWbKEJUuW9OYxktZQS5cubXgsSWpNvq9LrWPnb15ddQkD7qoH57HzN6+quowuPXjiW6suobBkyav+amfJkiXg/9dLUkvze3ZJa5P++p3UoA+8RMT6wAlAAg9UW420RptUczyrWaMySPJizaUPUSzdsxT4SF3Ypbbf9yPiE8CuwJHAb+vuNwq71N6/KiJ+Cbyv3OoDL+3139Qg7FI7ziuWIypntvlEeXo/cFKDPhkRx1DMEDOeIpjQLPACcEJd2KV9nD9HxKUUH7M9O+nfI5k5OyI+SDFryWiKmUsOKTeAZRFxK3AJcF5XSzL1p8y8NSIeArammPXnRPjbLDvtswf1ermhfhx/F4qwUleOAs7t7qARsTGwM/AtOgJn/5GZj/ewvnazu9tw1qxZbLjhhr18jKQ13axZTb8VkCS1IN/XpcFu0P+Idq01c+bMqksAYPiCBbyz7tq1117L8rGvmshYktSi/J5d0prumWee6Zdxh/TLqJ2IiOnd2PaJiIMi4l8oQi7tyzycO9D1SmuRp2qOj+pBvwPL/XXdWEan/Tu2aV0NGhETImKriJjavgHt4+/QoEt7/QdERE9+i78zsH55fG6zpYoy80XgwvJ0u4h4TZPxEvhxJ8+7o9yPKwN9faKckWdb4L+A+n8xRgB7AacDj0TER/rqub3UHjg5vOba+ylmqHkR+MUgH391nBMR2b4BT1As47U98DxwfGb+Q4X1SZIkSZIkSZIkSS2hij8fuJbiF8LdFeX+EuDMPq9GUrsbgEcplvb5dkQcRvHf3Szgtk6WxNml3O9f/gK/OyY1uhgRewCfB94GNFp6qF2jQMt5wHRgS+DPEXExxSwy12fmnE7Gql2m5vedFV3e/0xNv6catHkmM5/tZIza2VXGAC908cxuK1/nF8plp3YEdqMI9OwFbFU2Wx84LyKGZuY5ffXsHjofOBnYPCL2yMwbgfYQzkWZubpzmvXH+Ndl5j6rWVdXrmf1/52b0sX9ScBtANOnT2fy5K5WQJK0Nlm6dOnf/ppo+vTpjBw5suKKJEmrw/d1qYXcvPYtadQqZsyYUXUJhfmv/huzffbZByZMGPhaJEl9xu/ZJa1N5szp7Ne1vVfVfJnRdZO/+QPwHeCszOxJUEZSD2Tmiog4ALiIYqaQN5cbwJKImAX8EPhZ3SwoG/XicfXLDhMRJ1EuP9Ob/pn5g4jYAvhHYCzFLDVHlWM/QjGrx3cy89G6rrXBmnldPPfpJv1qNVzSqcaqmuOhXbTtlcxcBdxZbgBExM7At+lYSum0iLgoMxfWdq057u77dHu7br8/Z+ZfIuJ6ioDSERHxOLBvebvXyxkN1Pir6Wt0zDAzAtgUOIJima4DgZkRsWdm9mrB1i7CXUR0fFrb2tpoa3vVf0qSBMDIkSN9j5CkNYjv69LgdsfX3lZ1Cd2yaNnL7Hvqtazqg5/QDg24+sv7MHrE4F7Oqa1tRNUlFBq8h7e1tTW8LklqTX7PLmlN11/vcVX8H8W+XTdhFbAQeDwzX+jfciS1y8wHIuINwAHl1j5jShuwf7kdFxHvysz2cEh7aOPXFGGTHouI/egIuzwKnEox48xfgZcy8+Wy3cnACZ3U/9WI+B5wGLAfxQwn6wJbAMcBn4uIz2fm/zYbojf1t4LMvCMi3gHcTfE53YBiJp1LaprVznzS3X91RpX7l3pY0vkUX1+HUizrM4Ti831dD8epavzeeiIz76s5vwO4OCJOBE6imJHn34AvVFCbJEmSJKkC40cPklBFF8aPHsE7pk7iinuf7rpxF94x9TVsOn5U1w0lSZIkqRMDHnjJzKp/2SipE+XsLZeWGxHxGuAdwN9T/DJ+Z4plVw4quzwLbAwMr/tFfk98stw/D+yWma+ep7XQ2TJHQDG7B3AKcEpErEMxS82hwNHASOB/IuL3mXlX2aV2iaGJwEOdDF+7FNNzTVsNUpn5UkT8hI7Q0JZ1TWpf0yTggc7Gi4gRFEsk1fftjv8D/psieHN8ee1HfTiTV3+P39e+Abyb4uv1mIj4TmZ29rUoSZIkSdKAO3y3Tfsk8HL4bpv2QTWSJEmS1nZDqi5A0uCWmU9l5jnANDqWyHlPRLTPANIeHNklIob38jHbl/trOgm7AOzSk0Ezc0Vm3pSZxwIfLi8HcEhNs9qQzlu6GHLXJv1ayZM1x/Xhjz/UHO/cjbF2oGOGnz901rBeZi4Aflmeti9M2mfLDfX3+H2tXIbqK+XpMODkCsuRJEmSJKmhaZuPZ+uJo1drjG0mjmG3zbv8myZJkiRJ6tKAB14i4uqI+F1EdDvGHxEbt/frz9okNZeZK+hYDmYYHTN7tIcKxgJH9XL49tmmms5lGxE70XUgpTO17x8b1hzfAbxQHn80Ihq+L0bEGIqZYgAeyMynVqOWPhUR0YPmtaGhR+vuXQe8XB5/qBvjHl5z3Jv35x8Cy8rt5sz8Yy/GqHL8PpWZvwNuLk8/EBHbVFmPJEmSJEn1IoLTD92RdYcP7bpxA+sOH8pph+5Az36UIUmSJEmNVTHDyz7l1pNFWttq+knqBxGxV0TUL3FTe384sHd5ughon4nlPGB2eXxqREzv4jl7RsTedZcfLvd7NqohIibQxewcEXF4RHS2TNuMmuPH2g8ycxlwVnk6lY7lfmrHDuAMOoIyZ3RWSwW+GxHHR0Snfx4VEW8HPlqevgRcVXs/M+dSLAUE8CbgnzoZ663Ap8vTx+kIPnVbZl6emSPLbfee9q96/H7yL+V+CB1LMUmSJEmSNGhM3WQsZx6xc49DL+sOH8qZR+zM1E3G9lNlkiRJktY2nf1yWNLaZT/ghIi4HricYoma+RSBs60pwg1vKtuenZkvQxEYiYhDgWuB0cDVEfFT4FKKYMkQ4DUUS+QcBLwB+Bwds8VAMRPHARRBuOsi4l8pZl4B2B04DphEMfvFtCb1n08RuLkYuAl4BFgKTATeDnymbLcIuKCu78nA+4HNgZMi4g3AOcBTwGbAZ+kI3N0MfK9JDVXZEDgaODEirqD42N4HPEvxPr8lcCDFDDXtQcevZeaLDcb6EsXXwkbAKRGxD/Aj4CGK2V8mU3yuPlqOvQr4WGau7I8XNoiMioip3Wz7QLlEUY9l5uURcTewI/DhiDgpMx/rvJckSZIkSQNrr60mcOHR0zjuwrt5aO6iLttvM3EMpx26g2EXSZIkSX2qVQIv7bPBLK20CmnNN4RiFpf6GVhq/QL4Su2FzLylDEZcCEwBDiu3Zl4RtMjMiyLiHIolkTYG/quu/Urgi8AGNA+8QBFu+Qwd4ZZ6C4APZebs2ouZuTAi9gN+DbweOLjc6t0IHDgIwx1PlPvhwPvKrZmlwNcz89uNbmbmU+UsPZcA21LMjDOjUVuKpaAOz8xrelxx69kFuLebbTegY5ms3jiF4r+lYRSz7By9GmNJkiRJktQvpm4yliuPnc4tjz7H+bc8zpX3z2Xlqvzb/WFDgv23n8Thu23KbpuPcxkjSZIkSX2uVQIv7yz3cyqtQlqznUoxq8vbgJ0ogicblfeeBm4FfpiZlzfqXIZetgKOpJgBZCeKmUdWUcwU8yDFzCM/z8w/Nej/sYi4GvgUxewWw8vnzgLOyMxbI+KkTuqfCrwb2BPYgiL8sj6wEPgjcCXw3XLZnkb1Px4ROwCfBD5Qjrce8BxwF8WsMD/u7cwd/SkzvxARpwHvAPaiqH1TYAywAngeeAC4Bji/PvDTYLw/RcQbgQ9ShGfeDEyg+DfjOeB+4DfA9zNzQX+8prXczym+Zl8PHBkR38hM//2TJEmSJA06EcG0LcYzbYvxLFy6grkvLmXRspWMHjGUieuNZMzIdaouUZIkSdIaLDKz61ar84CIH9RdOhJIilkiXuii+wiKX1y/uTw/OzM/1Zf1SZK0toiIycBsgNmzZzN58uSKK5I0mCxZsoSZM2cCMGPGDNra2iquSJK0Onxfl6Q1yLJlLLvoIv5wzz0AvHGHHRhxyCEwYkTFhUmSVoffs0tam8yZM4cpU6a0n07pqz/2HogZXo6kCLjUCuC93ezfPtflc8C3+qgmSZIkSZIkSZIGvxEjWPX+9/Pk6NEATJ0xw7CLJEmSxMAEXv7KKwMvm5bnT1EstdFMAkvLdjdRLEXyZH8VKUmSJEmSJEmSJEmSpNbQ74GXzHxd7XlErCoPZ2TmA/39fEmSJEmSJEmSJEmSJK1ZBmKGl3qzKGZveamCZ0vSoBMRmwGjetH1+cx8oq/rkSRJkiRJkiRJkqTBbsADL5m5z0A/U5IGuXOAvXvR7zzgyL4tRZIkSZIkSZIkSZIGvyFVFyBJkiRJkiRJkiRJkiT1RBVLGkmSajjzlSRJkiRJkpqaP5+2jTbivbXX5s2DCROqqkiSJEkaFCoLvETEcOAw4H3ADsCGQFsX3TIzDelIkiRJkiRJkiRJkiStxSoJj0TE1sClwDZAVFGDJEmSJEmSJEmSJEmSWtOAB14iYhTwa2AzYBXwC2A+8EkggW8C44BdgLeU124GfjvQtUqSJEmSJEmSJEmSJGnwqWKGl09ThF1WAvtn5tURsT1F4IXMPLG9YUTsBJwP7Ab8NDPPqKBeSZIkSZIkSZKqscEGLL39dm666SYAdt99d0ZusEHFRUmSJEnVG1LBMw+gmLXlwsy8urOGmXkXsC8wDzg9InYegPokSZIkSZIkSRochg0jt9uOha99LQtf+1pyu+1gWBV/yypJkiQNLlUEXrYr95c0uhkRr6gpM+cDp1PMRvPZ/i1NkiRJkiRJkiRJkiRJg10VgZf1y/1faq4tqzke1aDPjeV+7/4oSJIkSZIkSZIkSZIkSa2jisDL4nKfNddeqDl+bSd9J/V5NZIkSZIkSZIkSZIkSWopVQReHiv3G7dfyMxngOfK0z0a9Nm53C/vx7okSZIkSZIkSZIkSZLUAqoIvNxe7nepu/47IIB/iIhx7RcjYnPgnyhmhLl7IAqUJEmSJEmSJGlQePll4oEHGPPXvzLmr38lHngAXn656qokSZKkyg2r4Jm/BT4OHAh8veb6fwEfADYHHoqIa4BRwJ7AaIrAy/cGtlRJkiRJkiRJkir0/POM3GUX3lp7bd48mDChqookSZKkQaGKGV5+BcwCFkbEFu0XM/NG4GSKWV7GAe8H9qcIuwCck5k/HuBaJUmSJEmSJEmSJEmSNMgM+AwvmbkY2KfJvZMi4nrgE8D2FPU9DPwwM38+YEVKkiRJkiRJkiRJkiRp0KpiSaNOZebvgN9VXYckSZIkSZIkSZIkSZIGpyqWNJIkSZIkSZIkSZIkSZJ6zcCLJEmSJEmSJEmSJEmSWkqlgZeI2C8izo+IP0fEooh4OSK2q2szPSKOiYjDq6pTkiRJkiRJkiRJkiRJg8ewKh4aEesC5wHvb79U7rNB85XAGUBGxO8z8+EBKFGSJEmSJEmSJEmSJEmDVFUzvFxIEXYJ4Dbg1GYNM/NG4L7y9OD+L02SJEmSJEmSJEmSJEmD2YAHXiLiYOBd5emnMnO3zPzHLrpdTBGO2btfi5MkSZIkSZIkSZIkSdKgV8UMLx8t9z/KzLO62eeOcr9tP9QjSZIkSZIkSZIkSZKkFlJF4GUXIIGf9aDPU+V+Qt+XI0mSJEmSJEmSJEmSpFZSReBlfLl/sgd9VpX7KuqVJEmSJEmSJEmSJEnSIFJFgGRBud+4B302K/fP9HEtkiRJkiRJkiRJkiRJajFVBF4eKvc79KDP+8r9XX1biiRJkiRJkiRJkiRJklpNFYGXy4EAPhcRI7tqHBF7AR8CErisn2uTJEmSJEmSJEmSJEnSIFdF4OU7wHPAROCiiBjXqFFEDIuITwK/oqhzNnDuQBUpSZIkSZIkSZIkSZKkwWnYQD8wM1+MiA8CVwDvBGZHxHU1Tf49IoYDuwBjKWaDWQocmpkrBrpeSZIkSZIkSZIkSZIkDS5VzPBCZv4OeCvwV6ANeAfFkkVQhGD2A9anCLvMBvbNzFsHvlJJkiRJkiRJkiRJkiQNNgM+w0u7zLwxIrYC/g44gGJGl42AocCzwF3AL4HzMnN5VXVKkiRJkiRJkiRJkiRpcOnXwEtEfKQ8vDQzX6y/n5kvA+eXmyRJkiRJkiRJkiRJktSl/p7h5VyKpYpuBx6ovxkRE4DPAJmZ3+jnWiRJkiRJkiRJkiRJkrQGqGxJo9JGwEkUoRgDL5IkSZIkSZIkSZIkSerSkKoLkCRJkiRJkiRJkiRJknrCwIskSZIkSZIkSZIkSZJaioEXSZIkSZIkSZIkSZIktZRhVRcgSZIkSZIkSZKaWHddVhx/PI888ggAW2yxBeusu27FRUmSJEnVM/AiSZIkSZIkSdJgNWoUL3/ta/xp5kwANp0xg3Xa2iouSpIkSaqeSxpJkiRJkiRJkiRJkiSppQzUDC/HRMS8Btc3aj+IiK93Z6DMPLnPqpIkSZIkSZIkSZIkSVLLGajAy2c6uZfl/sRujmXgRZIkSZIkSZIkSZIkaS02EIGX6MOxsusmkiRJkiRJkiRJkiRJWpP1d+Bl334eX5IkSZIkSZIkSZIkSWuZfg28ZOZ1/Tm+JEmSJEmSJElrtOeeY8See7LvokUAjBg9Gm64AcaNq7gwSZIkqVoDsaSRJEmSJEmSJEnqjZUrGfLgg6xXd02SJEla2w2pugBJkiRJkiRJkiRJkiSpJwy8SJIkSZIkSZIkSZIkqaW4pJEkSZIkSZIkSYPVeuux7Ec/4g/33APAG3fYgRHrrddFJ0mSJGnNZ+BFkiRJkiRJkqTBasQIVr3//Tw5ejQAU2fMgBEjKi5KkiRJqp5LGkmSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWsqwqguQJA1OEbEP8BFgN2AysC6wGHgSeAi4FbgKuDUzVzXoe02ToZcA84G7gAuBCzPz5QbPPwk4sUH/BBYBTwG3Aedn5pXdeC3t9fxzZp7UoE3WnM4GtszM5Z2MeSRwTnm6b2Ze20UNw4D3AvsD04CJwAYUH9P5wL3ATcBFmflYZ2NJkiRJkqS1yPz5tG20Ee+tvTZvHkyYUFVF0hpt4dIVPL1gKS8tX8mo4UOZNHYkY0auU3VZkiSpAQMvkqRXiIjRwPnA+xrcHgNsU24HAN8A3gn8pgePaANeW27vBY6NiAMz8+nulljWMQbYGjgsIi4GPpyZy3pQR2emAJ8EvtMXg0XEgcBpwJYNbq9XbltQfMz/PSIuB/4pM+/ri+dLkiRJkiRJai4zufnRZzn/5r8w84G5rFzV8bdxQ4cE+28/kcN325Rpm48nIiqsVJIk1TLwIkmqdxHFLCQAfwa+TzGTyvPAKGArYA/gQGCjboz3XeB/as5HA7sAXwJeB7wZ+EVE7JaZ+eruAHysrAGK5fimALsDX6QI0LwfOB34+27U013HR8TZmbl0dQaJiK8BJ1MEdQCuBX4F/AF4lmLmnNcA04H3UHxM3g3MAT69Os+WJEmSJEmS1Ln7nljAcRfezUNzFzW8v3JVcsW9T3PFvU+z9cTRnH7ojkzdZOwAVylJkhox8CJJ+puIeDcdYZcrgfc2mDXlRuDciPg0xYwks7sYdl6DmUpuiYgLKJZF2hLYlSLscVmTMR6rG+MPwOURcVE5xjDgUxHxjR7MFNPMM8CGwMbAZ4D/6O1AEfExillwAOYCH+pk6aP/i4hjgQ8Bp/T2mZIkSZIkSZK65/qH53P0+XewePnKbrV/aO4iDj3zZs48Ymf22splxSRJqtqQqguQJA0qtctBf6mzJYIyc2Vm/jwz7+/NgzLzeeBbNZfe0Ysx7gJ+Wp4OA/bpTS11fg20h2v+X0Ss25tBImIKHUsivQjs2UnYBfjbx/QCYAfg8t48V5IkSZIkSVLX7ntiQY/CLu0WL1/J0effwX1PLOinyiRJUncZeJHUbyJi44j414i4MyIWRMSKiJgbEfdGxE8i4siIWK9J37ER8ZWIuDEi5kfE8oh4KiIui4hDopOFUiNiVER8MCLOioi7a549PyKui4gvR8TobtR/UERcGhFzImJZRCyMiEcj4vqI+EZE7NpJ3+ERcUxEXFNT/9MRcUVEHB4RTd9/I+LciMiIeLw8Xz8iTo6I+yPipYh4ISJmRcRhXb2GXnhtzfGf+2H8erfWHG/ayzHurTmeshq1tFsFnFgeTwQ+28txjgNGlsdfzcxufzwz84XMbDbbjSRJkiRJkqTVkJkcd+HdPQ67tFu8fCVfuvAemq/QLkmSBoJLGknqFxGxF/AroD7QslG5TaVYuuWZsl1t3/2AnwHj6/pOolj25j3AFRHxwcxstLDq5cDeDa5vCEwvt2Mi4l2Z+ccGtQ8FfgJ8oO7WcGA0sBmwJ/BOYJcG/V9HMUvI6+tuTSz7vBM4OiLem5nPNaizdqxtgN8Ar6u7tRewV0RMy8zeBjIaWV5zvC1wdx+O3ciKmuOhvRyjtuYVTVv1zCUUr31H4B8j4ruZubC7nctA1hHl6ULgnD6qS5IkSZIkSdJquvnRZ3lobqMfLXffn+Yu5JZHn2PaFvU/xpYkSQPFwIukPhcRIyiWmVmP4pf93wWuAeZRhEY2A3YHDmrQdw+KsMg6wFzgv4F7gCeBjYEPAocD7wLOAw5uUMIwilk/fgncXvYNihlEDgIOLWu4NCJ2zMyldf0/Q0fY5QbgLOAR4CWKEM4bKZbfGdug/tHA74DNy0uXAj8oa9iMYraQvSkCM5dFxPTMbPZnBOsCl5XP/CZwFbAI2IliBpLJwN9HxGWZeWWTMXrqTuCA8viMiDgoM+f30diNvKHm+MlejrFtzfHjvS+lQ2ZmRHyd4mtoPPAFis9Bd02lI7B1fWa+1Bd1SZIkSZIkSWuCZxc1XUl9QJx9w2N9NM6jbD2xy8nE+9X40SMqfb4kSVUy8CKpP+xBEU4B+HBm/qru/i3ATyLiixShDgAiYh3gRxRhl98AB2fm4pp+dwK/iohZwPeA90fE2zPzt3XjH5WZDzeo6/fAhRFxNnAlsA1wGHB2XbtDa9rvm5kv192/Cjg9IsY1eMaJdIRdvpmZJ9TcuyMifg6cXz53d+BTFIGgRiZQBISmZeb9deNcSxHqGQkcU76evnA28A8Un5c9gL9ExOXAdRQfj3syc3kn/bstIoYBX6q5dG0vxphC8bEEeIHic9MnMvOyiLgNeDNwXET8d2Z2d2HeN9Yc39lXNXUlIiZ30WRS+8GSJUtYsmRJP1ckqZUsXbq04bEkqTX5vi5Ja5AlS2h71aUl4P/Xq4Xt/M2rqy6hT1z14Dx2/maf/UiyVx488a2VPl+95/fsktYm/fU7KQMvkvrDpJrjWc0alUGSF2sufYhi6Z6lwEfqwi61/b4fEZ8AdgWOBH5bd79R2KX2/lUR8UvgfeVWH3hpr/+mBmGX2nFesRxRObPNJ8rT+4GTGvTJiDiGYoaY8RQzvjQLvACcUBd2aR/nzxFxKcXHbM9O+vdIZs6OiA9SLOk0GmgDDik3gGURcSvFkj/ndbUkUyMRMYpiKaiTgN3Ky38BLuxm/yEUs9vsCXwLGFXeOqHJEler4+sUMw5tABxHEWjqjg1rjpvOkFO+lu06GedPmdmTZZpmd7fhrFmz2HDDDbtuKGmtNGtW03++JUktyPd1SWptwxcs4J1116699lqWj33V5MNSC/HXU31l5syZVZegPuD37JLWdM8880y/jDukX0aVtLZ7qub4qB70O7DcX9eNZXTav/ub1tWgETEhIraKiKntGx0hhB0adGmv/4CI6EkiYGdg/fL43GZLFWXmi3SEO7aLiNc0GS+BH3fyvDvK/biIWL+Tdj1SzsizLfBfQP2/PiOAvYDTgUci4iPdGPLEiMj2jWJZpmuBfcr784D3ZWZn85heU9N/JUVA5gLgtRRLIX0iM8/ozuvricz8DXBTeXpsk1l9GhlTc9zZckbrUczU02zbpEcFS5IkSZIkSZIkSWsJI7SS+sMNwKMUS/t8OyIOo5gRZBZwWydL4uxS7vcvgw3dManRxYjYA/g88Dags5BCo0DLecB0YEvgzxFxMcUsMtdn5pxOxppac/z7zoou73+mpt9TDdo8k5nPdjJG7ewqYyiW9OkT5ev8Qrns1I4UM7HsTBF22apstj5wXkQMzcxzevGYx4CLgFMzc95qlPtrivBLfzkB+B1FOOUfgK90o8/CmuNRTVv1vSld3J8E3AYwffp0Jk/uagUkSWuTpUuX/u2viaZPn87IkSMrrkiStDp8X5ekNcj8V/9d2D777AMTJgx8LVJfuXnNWNJoMJgxY0bVJaiX/J5d0tpkzpzOfsXaewZeJPW5zFwREQdQhBm2Bd5cbgBLImIW8EPgZ3WzoGzUi8fVL2FMRJxE95eeeVX/zPxBRGwB/CMwlmKWmqPKsR8BfgF8JzMfretaG6zpKsDxdJN+tRou6VRjVc3x0C7a9kpmrgLuLDcAImJn4Nt0LKV0WkRclJkLXz0CUCzZ9D/tQ1IsWfVMZi7oQSkfowxqUHzOtgSOBvYGPg5MiogDMrO7Qaluy8yrI+JaihlpPhsRp3djBqLaoFLTnz5l5gtA1F6LiHOBj/ay1k6/W4joeFRbWxttba/68pckAEaOHOl7hCStQXxfl6QW1+A9vK2treF1qVXc8bW3VfbsRcteZt9Tr2VVH/wkcWjA1V/eh9Ejqvt1W1vbiMqerb7j9+yS1nT99R5n4EVSv8jMByLiDcAB5dY+Y0obsH+5HRcR76qZ3aM9tPFrirBJj0XEfnSEXR4FTqWYceavwEuZ+XLZ7mSKmTua1f/ViPgecBiwH8UMJ+sCWwDHAZ+LiM9n5v82G6I39beCzLwjIt4B3E3xOd2AYiadS5p0mZeZ963mYx+rG+O2iPgpcDZFGOndwLHAf6zmc5r5OsUMRaOB/wd8uYv299Qc79RPNUmSJEmSJEktafzo6kIa40eP4B1TJ3HFvU933bgL75j6GjYdP5ATPEuSpFpDqi5A0porM1dm5qWZ+fHM3ArYmGKmjjvKJjsDZ9Z0aZ8VY3hm3tfdre6xnyz3zwO7ZeZ3M/PezFzQHnYpdbbMUXv9f8nMUzJzP4rle/YA/pNihpJ1gP+JiNowQ+0SQxO7GL52KabnmrYapDLzJeAnNZe2rKCGBD5LEWYCODEiuvy89vJZ11MsawVwTEQ0XEqrxn10fD3vFRHr9kddkiRJkiRJknru8N02HVTjSJKk3jHwImnAZOZTmXkOMI2OJXLeExHtc1jdVe53iYjhvXzM9uX+mi6WndmlJ4Nm5orMvCkzjwU+XF4O4JCaZrXhm7d0MeSuTfq1kidrjiuZ0SYzFwMnl6dj6eXMQN309XLfBnyli7oS+FF5uh69XKJIkiRJkiRJUt+btvl4tp44erXG2GbiGHbbvF/+/k6SJHWTgRdJAy4zVwDXlafDKGZPAfhluR9LsUxNb7Qv1dZ0HslyVpauAimd+V3N8YY1x3cAL5THH42Ihu+xETEGOLQ8fSAzn1qNWvpUREQPmteGhh7t61p64Id0zPJyTD/O8nILcHl5ejQwuYsup1PMBgTwrYjYrD/qkiRJkiRJktQzEcHph+7IusOH9qr/usOHctqhO9CzH6dKkqS+ZuBFUp+LiL0ioukSN+XsLXuXp4uA9plYzgNml8enRsT0Lp6zZ0TsXXf54XK/Z6MaImICcH4X4x4eEcM6aTKj5vix9oPMXAacVZ5OBU5oMHYAZ9ARlDmjs1oq8N2IOL6r0EhEvJ2OWUteAq7q98qaKANU/16ejgG+0I+Pa5/lZURXz8nMvwKfL0/HAjdExJ6d9Sm/PtZfzRolSZIkSZIkdWHqJmM584idexx6WXf4UM48YmembjK2nyqTJEnd1dkvdCWpt/YDToiI6ylmxPgDRailDdga+DTwprLt2Zn5MhSBkYg4FLgWGA1cHRE/BS6lCJYMAV4D7AwcBLwB+Bwds8VAMdvHARQzvFwXEf9KMfMKwO7AccAk4GaKpZUaOZ8icHMxcBPwCMVMHROBtwOfKdstAi6o63sy8H5gc+CkiHgDcA7wFLAZ8Flgn7LtzcD3mtRQlQ0pZi85MSKuoPjY3gc8S/FvxpbAgRQz1LSHJr+WmS9WUGuts4GvUXxuPxcRp2bmwr5+SGbeGRGXAu/jlbP7NGv//YjYBDgR2Bi4PiKuBi4D7gWeA4aWdb+J4uPavizXSmB5H78ESZIkSZIkSaW9tprAhUdP47gL7+ahuYu6bL/NxDGcdugOhl0kSRokDLxI6i9DKGZxqZ+BpdYvgK/UXsjMWyJiH+BCYApwWLk184qgRWZeFBHnUCyJtDHwX3XtVwJfBDageeAFinDLZ+gIt9RbAHwoM2fXXszMhRGxH/Br4PXAweVW70bgwMxc2UkNVXii3A+nCHW8r5O2S4GvZ+a3+7ekrmXm0og4nWKmlw0ogkXf6qfHnQi8F+jWfKWZeVJE3AOcShGEemu5Ne0CXAn8Q2Y+uZq1SpIkSZIkSerE1E3GcuWx07nl0ec4/5bHufL+uaxclX+7P2xIsP/2kzh8t03ZbfNxLmMkSdIgYuBFUn84lWJWl7cBO1EETzYq7z0N3Ar8MDMvb9S5DL1sBRxJMVvLThSzaayimCnmQYqZR36emX9q0P9j5SwanwJ2pAhvPA3MAs7IzFsj4qRO6p8KvBvYE9iCIvyyPrAQ+CNFGOG7mTm3Sf2PR8QOwCeBD5TjrUcxm8ddFLPC/DgzV3VSQyUy8wsRcRrwDmAvito3pVgqaAXwPPAAcA1wfn3gp2LfBf4JGAd8MSL+MzMX9/VDMvMPEfF/FLOxdLfPJRFxGcXMRPtThK02ovi6Wkwxg869FLP+/CwzH2sylCRJkiRJkqQ+FhFM22I807YYz8KlK5j74lIWLVvJ6BFDmbjeSMaMXKfqEiVJUgORmV23kiRJLS8iJgOzAWbPns3kyZMrrkjSYLJkyRJmzpwJwIwZM2hra6u4IknS6vB9XZLWIPPnw0YbvfLavHkwYUI19UiS+oTfs0tam8yZM4cpU6a0n07JzDl9Me6QvhhEkiRJkiRJkiRJkiRJGigGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppQyrugBJUt+JiM2AUb3o+nxmPtHX9UiSJEmSJEmSJElSfzDwIklrlnOAvXvR7zzgyL4tRZIkSZIkSatt+HBWHnQQT8+dC8CkiRMZOnx4xUVJkiRJ1TPwIkmSJEmSJEnSYDV2LMsvuIDbZ84EYMaMGbS1tVVclCRJklQ9Ay+StAbJzH2qrkGSJEmSJEmSJEmS+tuQqguQJEmSJEmSJEmSJEmSesLAiyRJkiRJkiRJkiRJklqKgRdJkiRJkiRJkiRJkiS1FAMvkiRJkiRJkiRJkiRJainDqi5AkiRJkiRJkiQ1sWABw486il3mzgVg+HnnwTnnwNixFRcmSZIkVcvAiyRJkiRJkiRJg9Xy5Qy95BI2qb125plVVSNJkiQNGi5pJEmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxSWNJEmSJEmSJEkarNZdlxXHH88jjzwCwBZbbME6665bcVGSJElS9Qy8SJIkSZIkSZI0WI0axctf+xp/mjkTgE1nzGCdtraKi5IkSZKq55JGkiRJkiRJkiRJkiRJaikGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksx8CJJkiRJkiRJkiRJkqSWMqzqAiRJkiRJkiRJUhPPPceIPfdk30WLABgxejTccAOMG1dxYZIkSVK1DLxIkiRJkiRJkjRYrVzJkAcfZL26a5IkSdLaziWNJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKQZeJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKQZeJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKcOqLkCSJEmSJEmSJDUxdCirtt2WRYsWATB69GiGDB1acVGSJElS9Qy8SJIkSZIkSZI0WI0bx7I77uCamTMBmDFjBm1tbRUXJUmSJFXPJY0kSZIkSZIkSZIkSZLUUgy8SJIkSZIkSZIkSZIkqaUYeJEkSZIkSZIkSZIkSVJLMfAiSZIkSZIkSZIkSZKklmLgRZIkSZIkSZIkSZIkSS1lWNUFSJIkSZIkSZKkJl56iWGnnMI2jzwCwLBbb4Xjj4dRoyouTJIkSaqWgRdJkiRJkiRJkgarxYtZ55RTeH3ttWOPNfAiSZKktZ5LGkmSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSS3FJI0mSJEmSJEmSBqvhw1l50EE8PXcuAJMmTmTo8OEVFyVJkiRVz8CLpG6LiCOBc8rTzTLz8eqqaW0RcRJwIkBmRrXVSJIkSZIkadAaO5blF1zA7TNnArDVTruz/MVk1NKFTBo7kjEj16m4QEmSJKkaBl4kSYNOREwEDgDeCuwIvBYYDjwL3ANcDJyfmUu6Od6mwOeBdwNTgGXAI8CFwHcyc3EX/bcE3gzsWm47AW3l7aMy89xu1DCi7Fc7zlZAgMEnSZIkSZLUWGZy+1+e+9v53531exYsL36MMHRIsP/2Ezl8t02Ztvl4IvzxgiRJktYeBl4kSYNKRHwS+C4wtMHtSeW2P/DliDgkM//QxXgHAD8C1qu5vC6wS7l9IiLenZl/btJ/b+Danr6OBv4XOLIPxpEkSZIkSWuJ+55YwHEX3s3c5xdy8s6vvr9yVXLFvU9zxb1Ps/XE0Zx+6I5M3WTswBcqSZIkVWBI1QVI0tooM0/KzHBWj4YmUoRdllPM5PJpYG/gTcAHgJllu62AqyJicrOBImIn4GcUYZdFwFeB3YH9gO+XzbYGLo+IMc2GqTleBdwP3NrjV/XKcRYC1wFP92IcSZIkSZK0Frj+4fkceubNPDR3UbfaPzR3EYeeeTPXPzy/nyuTJEmSBgcDL5KkweYl4N+AyZl5cGaemZmzMvOuzLwoM/cHTi/bTgBO7mSs/6RYeuhlYEZmnpKZN2fm1Zn5KeAfy3ZbA19qMsYTwD8A+wBjM3MqxQw0PfVr4ChgKrB+Zu4D/KkX40iSJEmSpDXcfU8s4Ojz72Dx8pWvupfZvN/i5Ss5+vw7uO+JBf1YnSRJkjQ4GHiRJA0qmfkfmflPmdnZnyN9BXiqPH5/RLzq37OI2BXYqzw9OzNvbjDOacCD5fEXImKdBvU8nJmnZuZ1mdm9P6lqIDN/lpnnZub9mbmqt+NIkiRJkqQ1W2Zy3IV3vyrs8sRL8KM/D+HFFZ33X7x8JV+68B6ys2SMJEmStAYw8CLpbyJig4j414j4Y0QsiYh5EXFVRHygG32HR8QBEXFGRNwWEc9HxIqIeDYifh8RJ0XEhk36HhgRWW4f6sazTivbvhwRG9fd27h8DXdGxIKyhrkRcW9E/CQijoyI9br/UemylqHlmFdGxNMRsbx87sMR8buIOD4itmvQ76T219xk3MfL++eW59tExPfL68vK13RJROzWzTpfFxH/FhF3lJ+TFRHxTERcX9ayeSd9x0bEVyLixoiYX77GpyLisog4JCIGfFmmzFwO3FiejgXGN2j2vprjc5qMswr4YXm6PrBv31QoSZIkSZLUOzc/+uwrljEas+wlPnDzLznt7uC2+UN45arJjf1p7kJuefS5fqxSkiRJqt6wqguQNDhExLbAVUBtgGQksB+wX0ScA8zqZIjvAR9tcH0csGu5fTYi3puZN9a1uZxito7XAEcCP+2kzmHA4eXpbzLzyZp7ewG/AuoDLRuV21TgQ8AzZbvVEhGjgSvomEWk3TplDVsCbwXeBByyGs85CPgRsG7N5Y0oAh0HRMRhmfmzTvp/GTilrKvWeGDPctun3Or77gf8jFcHSiYB7ym3KyLig6sz+0kvjag5fvX8vsXrgmKJpDs6Gee6muM9gJmrWZckSZIkSVKv/eiWv7ziPFat4twd383KIUN7PM60LRr9jZAkSZK0ZjDwIolyxpMr6Qi7/Aw4D5gHbA0cBxxFERhpZhjwKHAJcCvwV+BlYFPgbcDHKEITl0TE1Myc194xM1eWM5l8BXh7REzOzDlNnvNuirAHwA9qXsMIiqDMesBC4LvANeVrGA5sBuwOHNT5R6NHTqIj7PIr4AKK1720rHEnikDI6swf+wbggxSBoNOA2yn+jGd/4J8oQknfi4irGy0BFBEnACeXpy8A/0PxcXmWYkaTNwHvb1RjROwB/JoiKDMX+G/gHuBJiq+VD1KEj95F8fVy8Gq8zh4plx6aVp7OzcxGf7K0bbn/c2a+3Mlwf2zQpyVFxOQumkxqP1iyZAlLlizp54oktZKlS5c2PJYktSbf1yWpNS1atoJbHn6ascM7flTz8qoRvDyk6x/lrzMkWbem2c0PP8X8F15k9IhXreAsSRoE/J5d0tqkv34nFa7jKSki/j/gy+Xp8Zn5rbr761AEOmbUXN4sMx+vabMF8Gg2eVOJiDcANwGjgW9m5gl197cAHqYIc3w1M09pMs4vgAOB+cAmmbmivP5W4HdlswMys+EMLuUMMetm5ouN7vdERPwVmAJclJlNl32KiHH1gYyIOAk4ESAzXzUPbUQ8ThEWgmJ2krfW1xwRh1HM/AJwXGb+R939nSgCMkOAh4D9mgWJImJKZs6uOV+n7PM64DfAwZm5uEG/T1LM7gMwIzN/22j8vhYRfw+cUZ6ekZmfq7s/Emj/l/PyzHxPF+MtAkYBt2TmtM7alu2PpGOZpKMy89zuV/+Kca4F9obGXwe9GK/b/6ifddZZbLhhw1XGJEmSJEnSILEq4f/9fijLu/Fjg+FDkn/bdSVDBnzxaUmSJKlzzzzzDJ/4xCfaT6d0MvlBjwzpi0Ekta6IGA58vDz9A/Cv9W3KUMnHgRXNxsnMR5qFXcr79wJnlafva9QfuLY8PbJJrRMpZhMB+FF72KU0qea46dJLmflyX4Rd6p55fWeNmsw+0hMfa1LzjylmW4FXL6sE8A8U7/MJfKizfzhqwy6lD1GEXZYCH2kUdin7fZ9iRh9o8nnraxGxOfAv5eki4FsNmo2pOe7OUksvlfvRq1GaJEmSJElSn1qxim6FXQCWrwpWrOrngiRJkqRBxCWNJO0MbFAen9cstJKZcyJiJsWSQl2KiA2AcRRL7rT/X/kL5X67iFinLrACRSBmX2CriNgzM2+ou384He9bP6i791TN8VHAf3anztX0FPBa4IMRcVazUMhqujcz/9DoRmZmRNxFsbzQ5rX3ImII8M7y9NrMvKuHzz2w3F/XaKmkOrOAXelYYqjfRMS6wMXA2PLS5zLzyQZNR9YcL+/G0MvKfdtqlDcYTOni/iTgNoDp06czeXJXKyBJWpssXbqUWbOKzOj06dMZOXJkFz0kSYOZ7+uS1Joem7+Ivzvr9387z4TIJKM7oZfkm3cNpbbpTz/5Fl63oX/fI0mDkd+zS1qbzJnTJxO6vIqBF0lvqDm+rYu2t9JJ4KVctuiLFEGLSc3aUcw6sgEwr+76xcDz5b2jgPrAy1HtdWbmfXX3bgAepQh+fLtc7ucSijDGbZnZndBDT50HnADsDjwWEf9HsazSDd0IiXTXH7u43z57zJi665sB65fHnc5A08Qu5X7/HiyT09nnfLWVy1H9H7BDeem7nSwlVLvg6fBuDD+i3PfPAoIDpKvp36LmJ15tbW20tbV6vkdSfxk5cqTvEZK0BvF9XZJax5SNhrHo5SGsXNXx45jhK5ezfFh3frwRvFjz52XDhgSTJ6xP28h1+r5QSVKf8nt2SWu6/nqPc0kjSeNqjusDKPXmNrsRER8H7qQIpXQn+PCqd7XMXAr8qDw9NCJG1Yy/K7B9eVo/u0v7sksHAA+Wl94MnEIRhHkhIn4TER+OiKHdqK27vlHWksBGwN9ThHbmRcR9EfHP5TJMq6OrWWPaJ6qtf10b1hw/Rc9t1Is+/fbdeBRJjXPpWNLqQuCznXRZWHPcnT9jav9a687yR5IkSZIkSf1izMh12H/7V/44aeSKZQxb+XKPx9p/+0mMMewiSZKkNZiBF0m1ujuTxytExOuB/6WYNWoe8A8USyWNB4ZnZmRmAB+v7dZkuLPK/WjgkJrr7bO7LAF+0rD4zAcoZqw5iCKI8ufyVhuwP3AB8PuI6E2Yo9HzVmTmx4GpwDeBm+hYPmd74OvAnyPivX3xvAHWHqD5NcXHtLtbf/kOcFhNTYdnZtNVqcvw1LPlaafr9pTLb7UHXmavZp2SJEmSJEmr5fDdNn3F+bBcxWmXn97j0Ev9OJIkSdKaxsCLpOdrjruajaTZ/SMpwi4rgb0z89TMvDMznytnXmk3rmHvGpn5BzqWVjoKICJGAh8qr12cmQs66b8yMy/NzI9n5lbAxsDHgDvKJjsDZ3ZVR09k5gOZeUJm7gGMBd4OnEPx8RgN/CQiXtOXz+yGZ2qOe/Ps9rDI8My8r7tbH9T9KhHxb8BnytNZwMF1X1fNPFDutyyXQ2rm9TXHDzZtJUmSJEmSNACmbT6erSe+csLa9z44i1+e90UOvvcq2pYvbdKzwzYTx7Db5l3+KE6SJElqaQZeJN1bc/zmLto2u9++1NA9mfnHTvrv0s2a2md5mR4RmwPvB9Yvr71qOaPOZOZTmXkOMI1iySWA90REvyy/k5lLM/OqzPwYxUw3UMww857+eF4nHgNeKI+n96L/XeV+l4joziLR/SIivgb8Y3l6G/CezFzSze43lPtRFEGnZvauOb6xZxVKkiRJkiT1rYjg9EN3ZN3hr1zBerv5j3HaFd/m/v/4ABssbvr3YKw7fCinHboDxQrRkiRJ0prLwIukO+iY5eWIaPJ/whGxCTCjyRjts2eManKfcoaTA7tZ00+AlyiWPTqSjuWMHgOu6eYYr1DOCHJdeTqMjgBNf/pdzfGGA/C8vymX+7m8PN07Inbq4RC/LPdj6fj4D6iI+ALwjfL0XuAdmbmwB0NcWnPc8DVExBDgI+XpC/Ty60uSJEmSJKkvTd1kLGcesfOrQi8AQ8ima4WvO3woZx6xM1M3Gdu/BUqSJEmDgIEXaS2Xmcsolt8B2JGOWUn+plwO5vtAs5k+Hi73W0XE7g36rwv8mGKmk+7UtBC4sDw9GnhreXxuZmajPhGxV0Rs2WzMcpaS9pk8FgHzu1NLJ+ONi4gDmgWESrUBocdW53m9dCqwiiI49NOImNysYYN75wGz28eJiE5niYmIPSNi787a9EREHAX8R3n6EPD2zHyuJ2Nk5q3A9eXpxyNiWoNmXwK2LY//s5tLJUmSJEmSJPW7vbaawIVHT2OLCU3/xuwVtpk4hguPnsZeW03o58okSZKkwWFY100krQVOBg4FJgP/FhE7Aj8E5gFbA8dRLGd0O42XJTof+BxFiO7yiPj/KJaTWUqxlMwXga0olovZo5s1nUUxK8dG5fkq4NxO2u8HnBAR11PMbPIHilBLW/kaPg28qWx7dma+3M06mlmPYhaUxyPiYuD3wF+Al4HXAAcAnyjbPgH8ajWf12OZeXdEnEgxS8rWwL0R8R2KWUyepZjlZkeKJaNWAvvW9F0WEYcC1wKjgasj4qcUs6Y8RvG5fg3F5/cg4A0UXwPts+j0WkS8jyJgFcCLwBeACRHR2U9rHsvMlxpc/wLF110bMDMiTqF4/W3Ah4BPle0eAk7rpKZDKD4O7fasPa7LPT2dmb9pMMYk4B11lyfV3D+y7t4NmfnnZjVJkiRJkqQ139RNxnLh0dPg643vDxsS7L/9JA7fbVN223ycyxhJkiRprWLgRRKZuSAi3gFcRfEL+L8rt1rnUoQZzqm7TmbeVgYr/pkiRPEvDR5zGnAf3Qy8ZOZNEfEAsF156XeZ+dcuug2hmMWls5lGfgF8pTs1dNPrKAJBzTwFvDczF/XhM7stM78ZEavo+Nx8tdzqvSqokpm3RMQ+FLPtTAEOK7dmXlzNctu9D2ifr3c94Nfd6LMvRTjnFTLzroj4IPCjcqxTGvR9CHh3F8slnQps2uTex8ut3XXAqwIvwOtp8N9Pjfp7RwEGXiRJkiRJWss1CrGc97Fdadt4IhPXG8mYketUUJUkSZJUPZc0kgRAZt4PbA/8O8USRcuAZyhmw/hwZh7VRf+TgXcDM4HngeXAHOBiYEZmfrkXZf2o5vgHXbQ9FTgY+C5wC/BXihlmlgKPU4Q23pOZ78vMJb2opd5fgF2Bkyhe85+AFyhmeHkGmEWxPNTrM/OOPnher2XmKRTBoW9ThI5epKhzPkU442vAEU363kIxO8+nKWbOeZLic7uUYsmjmRQBmtdn5g/783X0VmZeBryRYomkh4DFFJ+r24H/B+zkTCqSJEmSJKmVvGGTsWy50RjDLpIkSVqrRWZWXYMkNRQRFwAfpgjQvCYzl1VcktTSImIyRVCJ2bNnM3ny5IorkjSYLFmyhJkzZwIwY8YM2traKq5IkrQ6fF+XpDXI/Pmw0UavvDZvHkzobPVnSdJg5/fsktYmc+bMYcqUKe2nUzJzTl+M6wwvkgaliFgfOKg8vcCwiyRJkiRJkiRJkiSpnYEXSYPV54H2OPP/VlmIJEmSJEmSJEmSJGlwGVZ1AZIEEBHDgNcBI4B9gePLW7/MzPurqkuSJEmSJEmSJEmSNPgYeJE0WEwGHq67tgA4rr8eGBGbAaN60fX5zHyir+tZU/hxlSRJkiRJkiRJktTfDLxIGozmATcDX83MR/rxOecAe/ei33nAkX1byhrFj6skSZIkSZIkSZKkfmXgRdKgkJmPA1F1HZIkSZIkSZIkSZKkwc/Ai6S1VmbuU3UNayI/rpIkSZIkSZIkSZL625CqC5AkSZIkSZIkSZIkSZJ6wsCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLWUYVUXIEmSJEmSJEmSmpgwgSWLFzNz5kwAZsyYQVtbW8VFSZIkSdVzhhdJkiRJkiRJkiRJkiS1FAMvkiRJkiRJkiRJkiRJaikGXiRJkiRJkiRJkiRJktRSDLxIkiRJkiRJkiRJkiSppRh4kSRJkiRJkiRJkiRJUksZVnUBkiRJkiRJkiSpiWXLGHLxxWx8zz0ADFm0CA45BEaMqLgwSZIkqVoGXiRJkiRJkiRJGqxefJERhx/Om2uvzZgBEyZUVZEkSZI0KLikkSRJkiRJkiRJkiRJklqKgRdJkiRJkiRJkiRJkiS1FJc0kiRJkiRJkiRpsBo6lFXbbsuiRYsAGD16NEOGDq24KEmSJKl6Bl4kSZIkSZIkSRqsxo1j2R13cM3MmQDMmDGDtra2iouSJEmSqueSRpIkSZIkSZIkSZIkSWopBl4kSZIkSZIkSZIkSZLUUgy8SJIkSZIkSZIkSZIkqaUYeJEkSZIkSZIkSZIkSVJLMfAiSZIkSZIkSZIkSZKkljKs6gIkSZIkSZIkSVITL73EsFNOYZtHHgFg2K23wvHHw6hRFRcmSZIkVcvAiyRJkiRJkiRJg9Xixaxzyim8vvbasccaeJEkSdJazyWNJEmSJEmSJEmSJEmS1FIMvEiSJEmSJEmSJEmSJKmlGHiRJEmSJEmSJEmSJElSSzHwIkmSJEmSJEmSJEmSpJZi4EWSJEmSJEmSJEmSJEktxcCLJEmSJEmSJEmSJEmSWoqBF0mSJEmSJEmSJEmSJLUUAy+SJEmSJEmSJEmSJElqKQZeJEmSJEmSJEmSJEmS1FIMvEiSJP3/7d17uF1VeS/+75sbCRAicgkWOCh4qUBFBRRQInoUa6sVrXKOLVZttVqtrbVVe5e21h79Ve3FHoulR1rUttQWrJajHlsRUBBBrAgiKIiCELnIJSSBkIzfH2tus9zsa5Kdvefen8/zrGfNOceYY75rwTOznrW/awwAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOiVJbNdAAAAAAAAMI4998zGSy/N5z//+STJcccdl+V77jnLRQEAwOwTeAEAAAAAgLlqyZK0Qw/NPTfemCRphx6aLPHVPgAAWNIIAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgReAHqqqM6qqVdW35kAtJ3S1tKo6Ybbr6buqOnXk/ZztWgAAAAAAAGCuWjLbBQAAAAAAwEJ2z8ZNueWujbn3/s3Zbdni7LdqeVYuXzpofOCB1FVXZeW3v50kqauuSo44Ilni630AABY2n4gBAAAAAGAna63loutuz5kX3ZBPXbU2m7dsnex18aLKsw9bnVOOOSjHrtyS5UcdlWcMn/y97yX77LPTawYAgLlE4AWgh1prL0/y8lkuAwAAAIBt8NWb7sobz/pyrlm7bsz2zVtazr3ilpx7xS05ercH8s87uT4AAOgDgRcAAAAAANhJLrj21rz6zMuy/v7NU+r/zVvvneGKAACgnxbNdgEAAAAAALAQfPWmu6YVdgEAAMYn8AIwQ6rq41XVquricdpP6NpbVd1RVQ+6J1fVfkN9XjN0/Izu2LfGGXvknFO7/aOr6h+q6saquq+qbqqqM6vqsVN4HSuq6rer6r+q6t6qur2qPldVrxqr5nHGOLKq/raqrunG2FhV36mqy6rqr6rqp6qqJnh/TqiqRd01P9+9X/d2Nf1WVS2fYh0nVdU/V9W3uxrurKpLq+qtVbXnzhijqg7oXvN13fnfrap/q6pnTuX6AAAAQD+11vLGs7487bDLHbuuyhG/97F89Jxz8tFzzsn6e+9N9tlnhqoEAID+sKQRwMz5bJKfTHJkVe3eWhu9KPPThrb3TPK4JF+eoM9521JEVb02yZ/nh+/5P5LklCQvrKrntNbOH+fc/ZL8Z5LhYMyuSY7rHj+d5N2TXP/XkvxpHhyyPKB7PDHJa5OsTDL2wtXJsiT/nuTHRx1/XPc4par+e2vtlnFq2DPJR5I8Y1TTLkmO7B6vrarnt9bGCyjtiDGOT/LxJHsMHX5Ykucled5IQAkAAACYfy667vZcs3a8rz6m7kvfvjNP/dFdd0BFAADQb2Z4AZg553XPS5I8dYz2EybZHz62trV29TbU8Owkf5nkyiQ/n+ToJGuSvCfJlgzCK2dW1bLRJ1bVkgzCGSNhl08leUGSo5K8MMmnu/HfNt7Fq+px2Rp2uT7Jryf570me0NXxqiQfTjLZYtRvyyDsMlzDC5L8v6790CQfq6rFY9SwS1frM5JsTnJmkpckOSbJ8Ul+J8ntSfZNcm5VHTRDY/y3bA27bEny10memcF/k19Icm2SUzMISQEAAADzzAcvvmGHjPOvX7pxh4wDAAB9Z4YXgJnzpST3ZDBzyQlJPjHS0AUojul2P5bBDB8nJPmzUWOMzPDy2W2s4Zgk5yZ5QWvt/qHjF1TV7RkESf5bBiGLs0ed++oMZi1Jkve31l491HZZkrOr6m8zCNKM50UZhF3uTXJsa23tqPYLkpxeVauSrJ9gnKPHqeGcqjo9g8DIUV3N/3vUub+fwSwydyZ5ZmvtslHtF1bVh5JclMFsK29P8rMzMMa7snVml1Naa/8w1HZpVf1zBu/HUQ969VNUVQdM0mW/kY0NGzZkw4YN23opYB7auHHjmNsA9JP7OsDcsu6+Tbn42luyaln7wbH1DySbttQEZw0sXdSyx9Kt5112/fdy6513Z/ddls5IrQDsHD6zAwvJTP1Nqlprk/cCYJtU1blJnpPkC621Y4aOr8kgxHJXBjOV/GeS7yfZu7W2peuzb5KRgMjrWmv/e+j8M5K8LMkNrbWHj3HdkZv7xiQHtda+N0aflUluy2C5oPe01t44qv3KDGZOWZvk4NbagwIpVbV7kuuSjCwc/fTW2nlD7e/PYBaXy1trT3zwOzS+qjohyWe63anWcGVr7fBRbTcmWZXk9a21905wvV/KICyzKcmerbV7d+AY+3VjLE7y8dba88Y5/0lJvjCy31qb/FuvHz5/yv+on3766dl7772nMzwAAACwg2xpyVsuWZz7pxB4Wbao5R1P2pxF0/qWAAAA5o7bbrstr3zlK0d2D2yt7ZBpCy1pBDCzRmZmObILTowYmbnlwiSfT7IhyZ5JHjdGn2Tr8kjT9f/GCrskSWvtngyW0UmSg4fbquphGYRdkuSssYIm3Rjrkpw1wfVv7p4P7cIc22qqNRzWhUtGPC2DoEqSfGSSa5zfPS/N1pltdtQYT88g7JIkHxjv5NbaJRksPwUAAADMY5u2ZEphl2TQb9OWGS4IAAB6yJJGADPrvO55SZKnZuuyRieMtLfW7quqizMIRZyQ5Muj+tzaWrtqG69/9STtd3TPK0cd/7Gh7S9OMsYlSV43Tts/JPmtJLsk+VxVfSLJv2cQ9LmyTX2asenU8GNJbum2h5cHurlqyj+FGg7N7Igxpvt+HjbVi4xy4CTt+41cf82aNTnggMlWQAIWko0bN+b88we5vTVr1mT58uWzXBEA28N9HWBuuf7WdXnJ6T+Y1DWDb0Rakql8z9DylX/6fJ5/0OBrlH+7ofKzf/z6HLT/XjNRKgA7ic/swEJy4407ZEKXBxF4AZhZlyVZl2T3DAIsn6iqZUmO7drPG3oeCbz8WXdsZIaXkVlitsWYs6IMGfl90OJRxx86tD3mDDFD1o7X0Fq7uqpekuRvMpjB5rndI0lu6wIw72+tXTDJNaZTw3Dt+05y3nh23cFj7JD3czKTTf82HNZZsWJFVqxYsa2XAua55cuXu0cAzCPu6wCz78B9l2TdA4uyecuUVyP+gWUPbMrbznrnD/aPTrLuT3/VvR1gHvGZHZjvZuoeJ/ACMINaaw9U1eeSPDtbZ2w5OsmKJHclubw7NhJqWVNVizIISBw6qm22TP+bmOGTW/uXqvp0kv+RwftwfJJ9kuyd5JQkp1TV3yX5+dbaeBP0bmsNw0GeJybZNMXzhoMjO2KMYdv1fgIAAAD9s3L50jz7sNU594pbJu88yvJN9z3o2O7Ll+6IsgAAoNcEXgBm3mczCHocWVUjM70kyYWttc3d9sVJNmYwC8rjkhySrXPanrfTKt3q+0PbqyfpO1l7Wmt3JXl/90hVPTbJ85O8PsmPJHlZBuGfP9/Gawy33zG0ffvQ9q2TzYAyjh0xxuj38zsT9J30/QQAAAD655RjDtqmwMuScX8fBAAAC9ui2S4AYAE4r3tekuSp2bpU0cjxtNbuyyD0kgwCMSN9bkty5UwXOIYrhraPnqTvZO0P0lr7WmvtfyU5Jsm93eGTt+Maw+1fHdq+fGj7KVOv8IfsiDFm9P0EAAAA5r5jD94rj169+2yXAQAA84bAC8DMuzRbQx3PSnJct33eqH4j+ydk6yww57fWdvoSOK217yb5Wrf74qoac2G9qtotEwdVJrvOd5Jc0+3uPUHXqdZwVWvt5qHmTydZ323/SlVVpm9HjPGZJCOz+bxsvE5VdXSSw7dhfAAAAGCOq6q8++THZ9dliyfvDAAATErgBWCGtdY2Jfl8t/sLSXZLcld+eOaQZLD0UZI8I1tDD5/N7Hlf97xfkneN0+c9SfYdb4CqOqmqHjJB+4FJfrTbvX6CWiaq4d1DNbxvuKG1dmeS93a7xyV5T1WN+29fVa2uqlfOwBg3J/lot/tTVfWgkFC33NVp440LAAAA9N/h+6/KaS89UugFAAB2AIEXgJ1jJLiyqnu+sLW2eVSfi5Pcl2RlkpFZRM6b+dLG9b5sDeX8UlX936p6flU9sXv+ZJJXZTCDzXjekOSmqjqrql5TVU+rqsdX1dOr6k1JPpdkZOaWv55gnEvHqeETSX6x63P5OGP8fpIvdNu/muRLVfW6qnrKUC2/XFXnJPl2ktfM0Bi/nuSebvvDVfVX3XlHVtUrklyW5AmZ+P0EAAAAeu74R+2Ts1597JSXN3rkPpZBAgCAsSyZ7QIAFojzJtlPa21jVV2c5GndoTuSXDGzZY2vtfZAVT03yX8meUySH+8ewz6Vwcwrn5xgqF2TvLh7jGVLkre21s6ZYIzfySAwMlYNSXJ1kue21h4Y3dBau6+qnpXkjCQvTHJEts7YMpa7Z2iMb1XVTyX5twxCTa/tHsP+MElLctQEYwMAAAA9d/j+q/LJN6zJxdfdkTMv/lY+eeXabN6ydVXrJYsqzz5sv5xyzEE5ZuXmwU9xAACAHyLwArBzfDHJ+gzCH8n4M7ecl62Bl/Nba22cfjtFa+27VfWEJG9M8j+THJLBLDRXJ/n7DJbgWTPBEC9J8twkJyQ5NIOlifZOsjHJDUnOT/LXrbWvTFLK/Ul+IoPZXH4ug2WQliX5ZpJ/SvLu1tqGCV7HPUl+uqqemuRlSY5P8iMZzC5zdzfOJUn+PYMQz0yNcV5VHZbkt7rX87Ak389gVpe/bK19sqpOneS9AAAAAOaBqsqxh+yVYw/ZK/ds3JS1d2/Muvs2Z/ddFmf1HsuzcvnSQcdbb53dQgEAYI4SeAHYCVpr9yfZbQr9Tk1y6hT6vTzJyydor/HaRvU7YQp9NiT54+4xlvOydQmm0efenORvusd26ZaAel/32NYxLkxy4XbWsV1jtNa+kwfP7DLcfmqm8P8AAAAAMH+sXL50a8AFAACYkkWzXQAAAAAAAAAAAEyHwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9MqS2S4AAMbSWjsvSc12HQAAAAAAAMDcY4YXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXlky2wUAAAAAAADj2GOP3PfBD+Yr//VfSZLHHXFEdtljj1kuCgAAZp/ACwAAAAAAzFW77JItL3xhvrv77kmSw088Mdlll1kuCgAAZp8ljQAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAAAAAADolSWzXQAAAAAAADCOW2/Nin33zfOHj33ve8k++8xWRQAAMCeY4QUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6JUls10AAAAAAAAwjj33zMZLL83nP//5JMlxxx2X5XvuOctFAQDA7BN4AQAAAACAuWrJkrRDD809N96YJGmHHpos8dU+AABY0ggAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAA5qoHHkhddVVWfvvbWfntb6euuip54IHZrgoAAGbdktkuAAAAAAAAGMf3v5/lRx2VZwwf+973kn32ma2KAABgTjDDCwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9IrACwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9IrACwC9VFWnVlWrqjbbtQAAAAAAAAA715LZLgAAAAAAABjbPYuWZuMbfiO33/ydJMmBD39Edtt111muCgAAZp/ACwAAAAAAzCGttVx03e0586Ib8qmr1mb3lU/LH56wOUnyM5cvyTHnXJ1Tjjkoxx68V6pqlqsFAIDZIfACAAAAAABzxFdvuitvPOvLuWbtujHbN29pOfeKW3LuFbfk0at3z7tPfnwO33/VTq4SAABm36LZLgAAAAAAAEguuPbWnHzaReOGXUa7Zu26nHzaRbng2ltnuDIAAJh7BF4AAAAAAGCWffWmu/LqMy/L+vs3P6itteS+zcmW9uDz1t+/Oa8+87J89aa7dkKVAAAwdwi8ADAvVNXyqnpTVX2pqu7pHpdU1S9X1ZhL+FVV6x6nTjL2eV2/88ZoO2FonBNq4Beq6sKqur2q7u7qeOmo85ZV1Wuq6uKquqOr93NVdfL2vA8AAABA/7TW8sazvjxm2CVJ7t6UvPmSJXnLJYuz/oEHt6+/f3N+/az/SmtjJGIAAGCeGvMPgADQJ1W1Osknkjx+VNPR3ePEqjqptbZlhktZmuSjSZ43Rh1/X1VHtdZ+tar2THJOkjWj+h2X5LiqemRr7e0zXCsAAAAwR1x03e2TLGNUSZL7t9S4Pb6+9p5cfN0dOfaQvXZwdQAAMDeZ4QWA+eBfkxya5C+SPCvJkUl+JsnXuvbnJXnVTqjjj7prfSjJT3Z1vCTJ17v2X6mqZyY5I4Nwy/uSnNj1+4Uk3+36/WFVHbYT6gUAAADmgA9efMOcGgcAAPrADC8AzAdHJzmxtXbe0LEvVdUnk1yVZHWS1yY5bYbreHKSN7TW/nxUHecluSbJyiQfTrJ3khe21s4Z1e/SJJcnWZzkF5P86nQuXlUHTNJlv5GNDRs2ZMOGDdMZHpjnNm7cOOY2AP3kvg7QH+vu25SLr70lq5ZtXY5o/QPJpglmcxmxdFHLrkPf8l907c259c67s/suS2eiVAB2IJ/ZgYVkpv4mJfACwHzwl6PCLkmS1todVfWBJL+Z5MeqalVr7a4ZrOMLo8IuI3XcUlVnJ/m5JPsk+adRYZeRfl+pqgszWOro+G24/nem2vH888/P3nvvvQ2XABaC888/f7ZLAGAHcl8HmPve+oSt21ta8pZLFk/pvEpy6hM3Z9FQNubzn/3Mji0OgBnnMzsw3912220zMq4ljQCYDz40Qdtl3XMlecQM1/GPE7T91zT7Hbz95QAAAAB9s2lLcv8UZndJBv02bZnhggAAYI4ywwsA88HVE7TdMbS9cobruGaCtjun2W9baj1wkvb9knwxSdasWZMDDphsBSRgIdm4ceMPfk20Zs2aLF++fJYrAmB7uK8D9Mf1t67LS07/wg/2W0uSlsFvdybT8rbLF6eGuv7jq56ch++9+w6uEoAdzWd2YCG58cYbZ2RcgRcAeq+1tn6C5uHfOU1tPuBtN9U6ptJv2rOwtdYm/LRQQ99+rVixIitWrJjuJYAFYvny5e4RAPOI+zrA3Hbgvkuy7oFF2bylbcPZlbs3bd1bsqhywD4PyYrlS3dYfQDMPJ/Zgflupu5xljQCAAAAAIBZsnL50jz7sNU7ZKxnH7ZfVgq7AACwQAi8ALCQjfx0arJ/D3eb6UIAAACAheuUYw6aU+MAAEAfCLwAsJDd0z3vOV6HGqwD9MidUw4AAACwEB178F559OrdJ+gx+M3OskUtSxeNvfTRY1avzDEHP3QGqgMAgLlJ4AWAhez67vmoCfo8J8lDZr4UAAAAYKGqqrz75Mdn12WLx2zfY2nyzic9kHc8aXN2XfLg9l2XLc67Tj4ig9/tAADAwiDwAsBC9tnu+clV9ZTRjVW1X5K/3LklAQAAAAvR4fuvymkvPXLM0EtVssviZNEYeZZdly3OaS89Mofvv2onVAkAAHPHGFlwAFgw3p/ktRn8e/ixqvrDJBcmWZbkKUnemGRpkmuTPGq2igQAAAAWhuMftU/OevWxeeNZX841a9clSR66/q586R0/+4M+z0/yxNd/KHfsuiqPWb0y7zr5CGEXAAAWJIEXABas1tqVVfXmJO9OsmeS94zqckeSk5L8UQReAAAAgJ3g8P1X5ZNvWJOLr7sjZ178rXzxi3c/qM+zHrs6J534+Bxz8EMtYwQAwIIl8ALAgtZae09VXZXk15I8KcmuSb6b5Nwk72ytfdsXRwAAAMDOVFU59pC9cuwhe2Xdmoclf/7D7e940eOSffaaneIAAGCOEHgBoJdaa6cmOXUK/c5LMmFipbX2ySSfnKD9hO0Zv+t3RpIzptDv1EzhdQEAAAALw+7Ll852CQAAMCctmu0CAAAAAAAAAABgOgReAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6JUls10AAAAAAAAwjmXLsvkFL8gta9cmSfZbvTqLly2b5aIAAGD2CbwAAAAAAMBctWpV7v/Qh3Lppz6VJDnxxBOzYsWKWS4KAABmnyWNAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOiVJbNdAAAAAAAAMI677sqyV7wiR61dmyRZ9nd/l3zgA8mqVbNcGAAAzC6BFwAAAAAAmKvuvz+Lzz47+w8fO+202aoGAADmDEsaAQAAAAAAAADQKwIvAAAAAAAAAAD0iiWNAAAAAABgrtp112z67d/ON7/5zSTJIYcckqW77jrLRQEAwOwTeAEAAAAAgLlqt93ywO/+br7+qU8lSQ468cQsXbFilosCAIDZZ0kjAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHplyWwXAAAAAAAAjOOOO7LLU5+ap69blyTZZffdkwsvTB760FkuDAAAZpfACwAAAAAAzFWbN2fR176WPUYdAwCAhc6SRgAAAAAAAAAA9IrACwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9IrACwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9smS2CwAAAAAAAOaPezZuyi13bcy992/ObssWZ79Vy7Ny+dLZLgsAgHlG4AUAAAAAANgurbVcdN3tOfOiG/Kpq9Zm85b2g7bFiyrPPmx1TjnmoBx78F6pqlmsFACA+ULgBYA5papenuQD3e4jWmvfmr1qAAAAAJjMV2+6K28868u5Zu26Mds3b2k594pbcu4Vt+TRq3fPu09+fA7ff9VOrhIAgPlm0WwXAAAAAAAA9NMF196ak0+7aNywy2jXrF2Xk0+7KBdce+sMVwYAwHwn8AIAAAAAAEzbV2+6K68+87Ksv3/ztM5bf//mvPrMy/LVm+6aocoAAFgIBF4AAAAAAIBpaa3ljWd9edphlxHr79+cXz/rv9Ja28GVAQCwUAi8ADAnVNUJVdWSfGDo8PVV1UY9Thjj3JOq6p+r6ttVtbGq7qyqS6vqrVW15wTXPKMb81vd/n5V9adVdU1Vra+qm6rqrKo6bNR5D6+qv+j6baiqtVX1oao6ZIJrnTryGrr9h1TVH1TVlVW1rqruqKrPVNVLpvXGAQAAAPPb4sXZ8tjH5u4DD8zdBx6YLY99bLJ48WxXlYuuu33KyxiN5+tr78nF192xgyoCAGChWTLbBQDAturCLB9J8oxRTbskObJ7vLaqnt9au3iSsY5I8okk+w0dXpHkxUl+oqp+vLV2YVU9I8m/Jlk11G95kp9J8pyqOr61duUk13pEkv+XZDggs1uSE5KcUFUnJfnZ1toDE40DAAAALAAPfWjuu+yyfOZTn0qSnHjiiVmxYsUsF5V88OIbdtg4xx6y1w4ZCwCAhUXgBYC54otJfizJ85O8rTv27CTfHdXv+iSpql2SfDrJE5NsTvLhJOd27UuTrEnyxiT7Jjm3qp7QWhvvm5hdk5ydZFmS307y2W7MH+/2d0tyZlU9K8k5Se5K8vtJvpDBv6U/neQNSfZM8rdJjpnktf5Tkkck+esMAjt3JXlckrckeXSSk7vX/WuTjPNDquqASbr8IMyzYcOGbNiwYTrDA/Pcxo0bx9wGoJ/c1wHml7l2X19336ZcfO0tWbVs63JE6x9INm2pSc9duqhl16G/TFx07c259c67s/suS2eiVIA5a67d2wFm0kz9TaqsjwnAXFJVL8/WZY0e0Vr71jj9/jiDMMqdSZ7ZWrtsjD4HJbkoycOSfLi19rOj2s9I8rJu97Ykx7TWvjmqz+uSvLfbvbW73lNaa7eO6vfOJG/qdp/YWrt8VPupSd46dOhnWmv/MKrPyiQXJDkiyZYkR7TWvjrW6x/LyHJJU3H66adn7733nmp3AAAAgHFtaclbLlmc+6cQeFm2qOUdT9qcRZN3BQBgnrjtttvyyle+cmT3wNbajTti3EU7YhAA2Jmqavckr+t2f2+ssEuSdDO6/FG3++Kq2m2CYX9vdNil83+SjMTr90nyK6PDLp33DW0fP8F1kuTjo8MuXb33JPnFbndRktdMMg4AAADArNu0JVMKuySDfpu2zHBBAAAsCJY0AqCPnpZkVbf9kUn6nt89L01y5ND+sJbkrLFObq1tqKprM1hu6ftJPjlOv+ur6p4kK5McPElNHxivobV2SVVdmeSwJM+cZJzRDpykfb8Mlo7KmjVrcsABk62ABCwkGzduzPnnD26Ra9asyfLly2e5IgC2h/s6wPwy1+7r19+6Li85/Qs/2B9MJN+STCX00vK2yxenhrr+46uenIfvvfsOrhJgbptr93aAmXTjjTtkQpcHEXgBoI+OGtq+uWrKc+DuN87x21prd0xw3p3d8zfaxGsB3plB4GXlJHV8cZL2SzIIvDy6qpa11u6fpH+SZLLp34bfpxUrVmTFihVTGRZYgJYvX+4eATCPuK8DzC9z4b5+4L5Lsu6BRdm8ZcqrKw+p3L1p696SRZUD9nlIVixfusPqA+ibuXBvB5hJM3WPE3gBoI/23cbzdh3n+PpJzhuZaHeq/RZP0u97k7Sv7Z4ryZ5D+wAAAMBCc++9WfL2t+cx3xysxLzkkkuS3/7tZLeJVm6eWSuXL82zD1udc6+4ZbvHevZh+2WlsAsAANtA4AWAPhoOlDwxyabxOo4yM/OlTd+2/PwJAAAAWIjWr8/St789Pzp87A1vmNXAS5KccsxBOyTwcsoxB+2AagAAWIgEXgDoo9uHtm+dbCmfOWh1ku9M0p4MgjHfn/lyAAAAAKbn2IP3yqNX755r1q7b5jEes3pljjn4oTuwKgAAFpJFs10AAIwyldlPLh/afspMFTKDjp5i+7WttftnuhgAAACA6aqqvPvkx2fXZZOt7Dy2XZctzrtOPiJVtYMrAwBgoRB4AWCu2Ti0vcs4fT6dZH23/SvVv29GXjZeQ1UdneTwbvfTO6ccAAAAYM5atiybX/CC3HTccbnpuOOy+QUvSJYtm+2qkiSH778qp730yGmHXnZdtjinvfTIHL7/qhmqDACAhUDgBYC55uah7UPG6tBauzPJe7vd45K8p6rG/TetqlZX1St3WIXb76eq6uTRB6tq9ySndbtbhrYBAACAhWrVqtz/oQ/l0je/OZe++c25/0MfSlbNnaDI8Y/aJ2e9+tg8evXuU+r/mNUrc9arj83xj9pnhisDAGC+WzLbBQDAKJdnMMvL8iR/VFWbktyQQQAkSW5qrW1I8vtJnpbkyUl+NckJVfU3Sb6c5N4keyY5LMkzkzwnyRVJTt95L2NClyb5cFU9LclHktyd5HFJ3pLkMV2fv2qtfWWW6gMAAACYssP3X5VPvmFNLr7ujpx58bfyySvXZvOWratWL1lUefZh++WUYw7KMQc/1DJGAADsEAIvAMwprbV7quovkrw5yROTfGpUl6cnOa+1dl9VPSvJGUlemOSIbJ31ZSx3z0C52+rkJP+R5LXdY7R/SfLGnVoRAAAAwHaoqhx7yF459pC9cs/GTVl798asu29zdt9lcVbvsTwrly+d7RIBAJhnBF4AmIt+M8m1SX4ug1laViV50GLQrbV7kvx0VT01ycuSHJ/kR5KsyCDg8s0klyT59zw4ODNrWmvXV9WRSX4jyQuSHJRkU5L/SvL+1tqHZrM+AAAAgO2xcvlSARcAAGacwAsAc05rrWWw/NCUliBqrV2Y5MJtuM7Lk7x8Cv1OmOJ4D5/Gtb+f5He6BwAAAAAAADANi2a7AAAAAAAAAAAAmA4zvAAAAAAAwFx1111Z9opX5Ki1a5Mky/7u75IPfCBZtWqWCwMAgNkl8AIAAAAAAHPV/fdn8dlnZ//hY6edNlvVAADAnGFJIwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AYCdoLV2amutWms127UAAAAAAABA3wm8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9IrACwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8sme0CAICdZvHIxs033zybdQBz0IYNG3LbTNWkIAAAGB5JREFUbbclSW688casWLFilisCYHu4rwPMI7ff/uBj3/1uct99O78WAHYYn9mBhWTU36UWj9dvuqq1tqPGAgDmsKo6KskXZ7sOAAAAAAAAFqyjW2uX7oiBLGkEAAAAAAAAAECvmOEFABaIqtolyY91u7cm2TyL5QBzz37ZOgvU0UlumcVaANh+7usA84v7OsD8494OLCSLk+zTbV/RWtsh63Mu2RGDAABzX/fhYYdMEQfMP1U1vHtLa+3G2aoFgO3nvg4wv7ivA8w/7u3AAnTDjh7QkkYAAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAAAAAAAAA0CsCLwAAAAAAAAAA9IrACwAAAAAAAAAAvSLwAgAAAAAAAABAr1RrbbZrAAAAAAAAAACAKTPDCwAAAAAAAAAAvSLwAgAAAAAAAABArwi8AAAAAAAAAADQKwIvAAAAAAAAAAD0isALAAAAAAAAAAC9IvACAAAAAAAAAECvCLwAAAAAAAAAANArAi8AAAAAAAAAAPSKwAsAAAAAAAAAAL0i8AIAAAAAAAAAQK8IvAAAQE9V1cOr6vVV9S9VdW1Vra+qjVV1Y1WdU1X/s6qWTGO8w6vqtKr6ZlVtqKpbq+qCqnrNNMd5TlWd3dVxX/d8dlU9ZxpjLOmue0FXx4aurtOq6rCpjgPQJ1W1e1WtqarfqKqzqur6qmrd41vbMJ77OsA8UFUHVdW7qurqqrq3qu6oqi9W1ZuqatfZrg+gz6pq36p6blX9YVX936q6begz+BnbMN6c+excVXt3r+srVXV39/hKd2yv6b42gLmoWmuzXQMAADBNVfVHSX4nSU3S9YtJXtRa+/Yk470qyXuTLBunyyVJfrK1dtsEYyxK8v4kvzDBpU5P8urW2pYJxtk7yblJjh6ny31Jfrm1dvoE1wHonar6TJITxmm+obX28GmM5b4OMA9U1fOSfDDJHuN0uSaD+/k3dl5VAPNHVU30h9K/a629fIrjzKnPzlX15CTnJNlvnC43JzmptXbJROMAzHVmeAEAgH56WAZhl3sz+AL8FUmemuSoJC/NIOiSDL4g+XRV7T7eQFX1E0n+OoM/iq5N8itJnpzkOUn+tev2pCRnV9XiCWr642z9YufyJC/pzntJt58kr0zytglqWZzk7Gz9Yudfuzqe3NX1vSS7JDltOr+OAuiJ4RDjHUk+lWTdtAdxXweYF6rqCUn+KYOwy7oMAu/HJfnvSf6m6/boJP9eVStnpUiA+eXbGXwG3xZz5rNzVR2Y5GMZhF0eSPLOJGu6xzu7Yw9L8rGqOmCarxNgTjHDCwAA9FBVvSPJ7Une11q7Z4z2xUk+nOTk7tBbW2t/OEa/pUmuTnJwkruTPLG19s1Rff4qyWu73Ve01s4YY5xHJ7kyyZIklyZZ01rbMNS+a5LPZhDIeSDJY8f6FWpV/XySv+12/3dr7XWj2h+Z5LIMvvT/RjfOA6PHAeijqvrFJPck+eLIPbJbyuigTHGGF/d1gPmjqs5PcnwG99k1rbWLRrW/KYM/XCbJH7TWTt25FQL0X1X9QQY/Gvpia21tVT08yfVd85RmeJlrn52r6u8z+DFUkpzcWvvnUe0nZxConPJrBJirzPACAAA91Fp7S2vtnWOFXbr2zRn8MfP+7tCLxhnqBRn8UTRJ/mT0H0U7b0ry/aHtsbwhgy92kuT1w1/sdPWsT/L6bndJkl8bZ5zf6J7vGOta3RdCf9LtPrKrH2BeaK29v7X2D9u5LIX7OsA8UFVPyiDskiR/Ozrs0nlXkq9127/ahR4BmIbW2ltbax9vra3djmHekDny2bmq9kvys93uJ0eHXbpxzkryyW73pd05AL0k8AIAAPNUa+32JF/pdg8Zp9tJQ9tnjDPO+iRndbuHdr9c+oGqqiTP73avbq1dPM44Fyf5erf7/O684XEeneSx3e5Z3XXHMlynP4wC/LCThrbPGKuD+zpAL5w0tP2BsTq01rYk+ftu9yFJnj6zJQEw2hz87PxT2fr33zH//Rg1zqLuHIBeEngBAID5bZfuefM47U/tnr/eWrtlgnE+O7T9lFFtj0jyI2P0m2ic/ZM8fJxaJhynq/OacWoBWOjc1wHmh5F76L0ZLF8xnonu5wDMvLn22XlK48S/H8A8IfACAADzVFXtm62/DvraGO27Jzmw2716kuGG2x87qu3QcfrtjHEOrKrdJukLsCC4rwPMKyP31G+01h6YoN9E92EAZt5c++w8Ms5dEwXgW2s3J7l7nFoAekPgBQAA5q83Zesa0meN0X7A0PaNk4z1naHtA0e1zeY4Neo8gIXMfR1gHqiq5Un27nYnvH+21r6fwSwwyYPvwwDMvLn22Xlkf7Ixhsfx7wfQWwIvAAAwD1XVk5O8odu9Mcn7xui2cmh73SRD3ju0vfscHwdgoZpr92P3dYBtM537Z7L1Hur+CbDzzbXPziPj+PcDWBAEXgAAYJ6pqtVJPpLB7C4tyctaa+vH6Lp8aPv+SYa9b2h7xRwfB2Chmmv3Y/d1gG0znftnsvUe6v4JsPPNtc/OI+P49wNYEAReAABgBlVV2wGPl0/jeiuT/Hu2TmH7m621/xyn+8ah7WWTDL3L0PaGOT4OwIzZ2ff1aZpr92P3dYBtM537Z7L1Hur+CbDzzbXPziPj+PcDWBAEXgAAYJ6oquVJPprkyO7Qn7bW3jnBKfcMbU82fe1uQ9ujp8Wda+MALFRz7X7svg6wbaZz/0y23kPdPwF2vrn22XlkHP9+AAvCktkuAAAA5rnH7oAxbp6sQ1UtSXJWkqd3h05vrb1pktNuGto+YNxeAwcObX9nVNuNMzTObVMYp406D2Cm7ZT7+jZyXweYB1prG6vq9iR7ZZL7cFXtma1/sBx9HwZg5s21z843Jlk9hVqGx/HvB9BbAi8AADCDWmtXz/Q1qmpRkjOTPK879E9JXj3Zea21e6rqOxl8wfGjk3Qfbv/aqLarxum3veN8eQrjfKe1du8k1wTYYXbGfX1bua8DzCtXJTk+ySOraklr7YFx+k10HwZg5s21z85XZTDz76qq2q+1dstYA1TVw5LsMU4tAL1hSSMAAOi/05L8z277Y0lOaa1tmeK5F3bPj6mq/Sbo97Sh7c+Nars+yXfH6DeWNd3zTUm+NU4tE47T1fnocWoBWOjc1wHmh5F76G7ZumTpWCa6nwMw8+baZ+cpjRP/fgDzhMALAAD0WFW9O8kru93/SPLiCX79OZZzhrZfPs41dk1ycrd7VWvtmuH21lpL8tFu90er6phxxjkmW3+F9NHuvOFxrsnWXxWd3F13LMN1nj1OH4CF6pyh7ZeP1cF9HaAXzhnafsVYHbqZHn+u270zyWdmtiQARpuDn53/LcnIj6DG/Pdj1DhbunMAekngBQAAeqqqTk3ya93u55M8v7V23zSHOTvJdd32b1XVIWP0+f+S7Dm0PZY/S7K52/7LqloxqtYVSf6y232g6z+WP+2eH5rknaMbu/p+q9v9RvxhFGA093WAeaC1dkmSC7rdX6iqY8fo9utJHttt/3lrbdNOKQ6A0f4sc+Szc7eE0Ye63WdX1YvGGOfFSZ7d7Z453rJHAH1QowKEAABAD1TV65P8Rbd7U5L/keSuSU77+lhfglfVT2SwFNKiJGuTvC3JJRn8MfRVSX6663phkhNaa5tHj9GN8ydJfrPbvTzJO5J8M8khSd6S5Ald25+01n57nDEWJ/lskqd0h/4lyd8k+X6SJyX5vST7ZvALpOe21v7vJK8ZoDeq6pFJnjrq8J8m2SvJ7Ul+Y1TbJ8b6ctp9HWB+qKonZLDMxIok65K8PYNZXFZksKTpL3Zdr0lyVGvtntmoE6DPquqpSR45dGjvbA2Ffy7J6cP9W2tnjDPOnPnsXFUHJrksyT4ZBGzeleTjXfNzMwhMLklya5InttZuHGscgD4QeAEAgB6qqvMy+drQoz2itfatccZ7VZL3Jlk2zrmXJPnJ1tptE9S0KIMvYn5+ghr+Nskvtta2jNehqvZOcm6So8fpcl+SX26tnT5OO0AvVdXLk3xgGqc8vbV23jhjua8DzANV9bwkH0yyxzhdrsngfv6NnVcVwPxRVWckedlU+7fWapxx5tRn56p6cgbL4+03TpdbkpzUWvvCROMAzHWWNAIAANJa+5skR2bw5cx1STZmMJvAhUl+KclTJvqjaDfGltbaLyT5yQzWr/5ukvu7548m+YnW2isn+mKnG+e2JMcleW13/du7eq7r6jvSH0UBJua+DjA/tNY+luRxSd6TQbhlfZI7k1yabsYAYReA2TfXPjt3QZYfy2C2x69mMFPYuiRXdMcOF3YB5gMzvAAAAAAAAAAA0CtmeAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAIAFrapOrapWVW0Gr3HCyDWq6oSZug4AAMBCIfACAAAAAOxQVbW4qu7uwh1fmqRvVdXtQ2GQn5+k/8uG+v7Sjq0cAACAvhB4AQAAAAB2qNba5iSf73aPqKo9Juh+WJKHDu0fP8nww+3nb0N5vbYzZqMBAADoA4EXAAAAAGAmjIRRFiU5boJ+IwGWzaP2J+t/W5Krtq20H9ZaO7W1Vq212hHjAQAAMPMEXgAAAACAmTA8+8qaCfqNtP1z93xIVf3IWB2rat8kj+52L2ytmeUEAABggRJ4AQAAAABmwheTbOy2J5q1ZaTtI0m+OUn/Bb2cEQAAAFsJvAAAAAAAO1xr7b4kl3S7R1fVLqP7VNUjkuzf7V7YPZJtDLxU1UlV9c9V9e2q2lhVd1bVpVX11qrac7xaq+rUqmpVNeGMMVX11Kr6l6q6pRv/uqr666p6ZNd+XjfOeRONMzTeyVX1H1V1a1VtqKqvV9U7q+qhY/R9eVffW4eOtTEeDx913pFV9bdVdU1V3dvV/Z2quqyq/qqqfqqqLOUEAAD0jsALAAAAADBTRkIpuyR58hjtI8sZXdtaW5utgZfxlkAaCbzcneTLIweras+q+o8kZyd5UZIDu2uuSnJkklOTXF1Vx2zTqxhc4y0ZvJ4XJlndjf+IJK9O8qWqOnEawy2qqjOT/FOSZyTZO8nyDJZrelOSL1TVftta61DNv5ZB6Ojnkzwqya5d3QckeWKS1yb5aJLdtvdaAAAAO9uS2S4AAAAAAJi3hmdhOT4PnpVlJMBy4ajnw6tqz9ba90c6VtXKJEd0u59vrW3uju+S5NMZBDg2J/lwknOTXJ9kaQbhmTcm2TfJuVX1hNbaDdN5EVV1cpL/1e3ekeQdSS4Yeg2/meQfk9w6xSH/KMlxSc5J8vdJbsggRPO6JD+Z5JFJ3pPkJUPnnJPk0gxCKr/UHfuxMca+qav5cUn+NIMfPV6f5L0ZhITuSLIyyWOSPD3J86dYMwAAwJwi8AIAAAAAzJSLkjyQwfeQYy1TNHLsgiRprV1dVbdlMOPJU5J8fKjvcUkWd9vDwZnfzyDscmeSZ7bWLht1jQur6kNdLQ9L8vYkPzvVF9AFav6i270tybGttW8Mdbmoqs7pxn/0FIc9Lsnvttb+eNS1PpHkE0lOTPKiqvqV1tqtSdJauzPJnVX1vZH+rbWvTnCNF2UQdrm3q3ntqPYLkpxeVauSrJ9i3QAAAHOGJY0AAAAAgBnRWluX5PJu97iqGgmspKr2zdaAyIVDp32uex4dkBneP78bY/cMZkVJkt8bI+wyUscNGcyqkiQvrqrpLOFzUgazryTJqaPCLiPjX5PkD6Yx5mUZBG9Gj9OSvLvbXZLk2GmMOdrIkkjXjBF2Gb7mXa21LdtxHQAAgFkh8AIAAAAAzKSR2VhWJnn80PE13fPa1tq1Q8cvHNU+YiTwsjHJF7vtpyVZ1W1/ZIp1LE1y5CR9hz2ze96S5EMT9PtgkjbFMT/chVvGMhzaOXiK443l5u750Kp60naMAwAAMCcJvAAAAAAAM+mCoe3jx9gent1luP+RVbUiSapqWZKR0MYXWmv3d9tHDZ13c1W18R5Jhpf/2S9Td3j3fF23rNCYWmt3JLluimNePUHbHUPbK6c43lj+IcmmJLsk+VxVfayqXlNVh1dVbce4AAAAc4LACwAAAAAwky7I1plPphJ4+VKS9RnMxHJMd+zoJMu77fOH+u67jTXtOo2+e3bPt06h71T6JIPXN6ZRywstHq/fZFprVyd5SZLvZ7A80nOTvC/JFUm+V1VnVtXoZaMAAAB6Y8lsFwAAAAAAzF+ttTuq6soMZko5Pkmqao8kR3RdLhzVf1NVXZLkhAyWNfpMfjgoMxx4GQ6EPDGDGU2m4sap1t9nrbV/qapPJ/kfSZ6dwfu4T5K9k5yS5JSq+rskPz8qaAMAADDnCbwAAAAAADPt/AwCL/tU1Y8meUQGs0+vS3L5GP0vzCDwMhJ0WdM9b0py0VC/24e2b22tzUSQ5fvd8z5T6DuVPjtVa+2uJO/vHqmqxyZ5fpLXJ/mRJC/L4L/Bn89WjQAAANvCkkYAAAAAwEy7YGj7+GwNslzcWts8Rv+RWV+OqapdkhzX7X+ptXbvUL/hsMxTdkilD3Zl93xwVe05XqeqemiSg2eohmFt8i4TnNza11pr/yuD5aJG3suTt7sqAACAnUzgBQAAAACYacPLEK3J1hlbLhyjbzKYxWVzkt2SvDzJqjHGSZJPJ1nfbf9KVdV2V/pg/9E9L0ryMxP0OyXJTFx/tI0jG10YaJu01r6T5Jpud+/tLQoAAGBnE3gBAAAAAGZUa+27Sb7Z7T49yVHd9gXj9L87yRXd7puHms4f1e/OJO/tdo9L8p6qGvc7z6paXVWvnFbxydlJvtdtn1pVh4wx7qOSvHWa426rm4e2H1TLiKo6qaoeMkH7gUl+tNu9fseUBgAAsPMIvAAAAAAAO8NIuGX/JLskeSDJxRP0H5n9ZWSZoC0Ze0aY30/yhW77V5N8qapeV1VPqarHV9XTq+qXq+qcJN9O8prpFN1a25jkDd3u3km+UFVvqqpjusebu9exKMm1I6dN5xrT9Pmh7fdU1ZqqelRVPbJ7LOna3pDkpqo6q6peU1VPG3o/3pTkc0lWdH3/egbrBQAAmBFLJu8CAAAAALDdzs9geaIRl7fW1o/TNxmEW355aP+KbkaXH9Jau6+qnpXkjCQvTHJEts76Mpa7p1jv8DX+oaoOTvJHSfZK8s5RXdYneXGS30zyqAwtO7Sjtda+UVVnJTk5yYndY9gjknyr2961q+vF4wy3JclbW2vn7PhKAQAAZpYZXgAAAACAneH8UftjzdYybPRyR6PP/4HW2j2ttZ9OcnyS05N8Pck9Gcwic0eSLyb5qyQ/keRZ06h5+Bp/nORpSc7JYImj+5LckOT/JDmqtXZukj267ndtyzWm4ZQMlnq6pLvWljH6vCTJLyb5cJIvJ7klg/djXZIrk7wvyRNaa2+b4VoBAABmRLU2k7NrAgAAAADMf1W1NIPwyYokb2ut/d4slwQAADCvmeEFAAAAAGD7nZRB2CVJLp7FOgAAABYEM7wAAAAAAEyiqh7ZWvvGOG0Pz2AJpgOSrE1yQGvtgZ1YHgAAwIKzZLYLAAAAAADogaur6twkH09yZZJ7k+yb5OlJXpPkIV2/3xB2AQAAmHlmeAEAAAAAmERVTfZF6pYkv9ta+5OdUQ8AAMBCZ4YXAAAAAIDJPS/Jc5Icl2R1kr2S3JfkpiTnJfmr1tpXZ606AACABcYMLwAAAAAAAAAA9Mqi2S4AAAAAAAAAAACmQ+AFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF4ReAEAAAAAAAAAoFcEXgAAAAAAAAAA6BWBFwAAAAAAAAAAekXgBQAAAAAAAACAXhF4AQAAAAAAAACgVwReAAAAAAAAAADoFYEXAAAAAAAAAAB6ReAFAAAAAAAAAIBeEXgBAAAAAAAAAKBXBF4AAAAAAAAAAOgVgRcAAAAAAAAAAHpF4AUAAAAAAAAAgF75/wGvnoS3407RSAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting the Weight Plot\n", + "\n", + "plt.rcParams['figure.dpi'] = 200\n", + "fig, ax = plt.subplots(figsize=(11,6))\n", + "ax.scatter(t['coefficients'], t.index)\n", + "ax.errorbar(t['coefficients'], t.index, xerr=t['std_error'], fmt = '.')\n", + "ax.axvline(0, linestyle='-.', color='red')\n", + "plt.xlabel(\"Weights\")\n", + "plt.ylabel(\"Features\")\n", + "plt.grid('True')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.6 64-bit", + "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": "3.10.6" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Python/bike-sharing/__pycache__/preprocess_bike_data.cpython-310.pyc b/Python/bike-sharing/__pycache__/preprocess_bike_data.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b65e312547f5e64224cf458e89fde66f4a337405 GIT binary patch literal 2413 zcmZ`)OK%%D5MC}<(poP|emjpgX@j$r&zQU#L zNRUtQ)rbCrB)9yS{()_8J>^!Qm$rwdGnC>w1x$&<;WxA7a5ysz3x%u(?XRV??$0?* z`wb_T8->Yz=&=C8G)6qlCTi4esz$?4*=eFN-Oey-n|m5F-Vl3?rC54Tx3et6Oc-;3 zj{%;CF$-e>#vF`AHpvRCct-4THqJ_Cnq6XLHUVRqk(Opny@P$VdOx?gSb;xtq*Lk7 z?7D}1A>Ma{8|*DG$Mt%P-T2tb*tE4>x9MgBNPBzLraP-O;2v+=bgj7#(rUY(tv7Bx zZfvaAs!#3Ai0Kyr+-WqwTdzO51%iI=(!?_C^v-&{z1p{O?zhk zpr6uHV_*#Q0bSOfn*+V2T}ZQ+rHssKpfQUYmR^5HU_FZ@V>~$Wxo{-6Qg+sJcDdK_ z+*l@sSUN&>9NFn}5hjEs)MYOcdhB>_HDSWnf4i0Kn2Wd~p9^Q-cY;cd$A>bEDi2&I z=B(2=lAenSZXmgc1eeaP#}|BWVK)p9D_cFe9|o1n*INOlNQ7M;#~s8w7y^q?FDZ8g z2OB%g?MgQc9MPLZr<8yg#2_V-C5BP@rwF{j81G^ze`v^KSAN7#1{(N_%xP2F0K5YJ zAa!*jizZZrC$=GdH$dvVQ23CH!I#On8yv%tcn35(ApZow7%#0vL>`7N^oxc*PD584 zAHz&)uZYwooz-5GQ!s;(dF_=UQ!@RMye2qbMpPf6nGvchl#Wnygu;b`t}#MY4xa03 z6+=lfBS{vsb0oSGGckI=#h%`3DBtK^4ytadFb zw5-qx%x;C26*{TVsS9*+8GTWN9j51pdece|W<%`N_-k!WJ18BLVLqc|vuy4Rqz4l< z2>yBP6jnHx93Y($v<*Ly`-vgBA6dHl=ll2X-+c)>kUNGW_TnT3 zaj8VVqv#%p?6DI!U~$Ab>tYCeXvkxzw4nci83acoQ)nRMBgTk|v$sS*Z65NM0?%Cb z9DkQND_`T+xQwawKgIm$L~g`AH{grQUf6ZKcm`*>p*P1C$3yj;`g1IM1ZrHy z4WP0GQrra1BrEtHR68y>v(sHCK5{%U4FYANr6>C0QbN0-H#GUeCrNf0i)1(Sqm}!h zuI!!D`nRvVj}O|GA+Q38B9d_=Wgu;fz~d>xsPm&MVkz)Q02$5;H@2n|Jz};A1(0>% z;Y(<3y_p!bYP*_H--%ScOUzMx$B8)#@HokhA{?q{Z@4S&m8AU;A{qlXioBkxT6Ru` zSZld-eGaR-L83F680hvS1Lr^TgE&cd!=UR(c;30}up{4hc??#TKx|-~XLe z_{b}_!G`!VAVoSuXUGh>rhbaYIh~+4=oGy}4JwwDAKKPLl7eRn-T^&`l62$*%!viA zk(7N$MqUUH%`UtX$boz~(#VtIb5Ig@kbHpzGgo|tMBM`VLs&@g(NL~XdtN%he|K&! f`yo5>_zFgId;^F{Op+%CHHb-(AO5n`%;o97{Sq}_ literal 0 HcmV?d00001 diff --git a/Python/bike-sharing/bike_sharing_preprocessing.ipynb b/Python/bike-sharing/bike_sharing_preprocessing.ipynb new file mode 100644 index 000000000..8552b1a2f --- /dev/null +++ b/Python/bike-sharing/bike_sharing_preprocessing.ipynb @@ -0,0 +1,2720 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reading in the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
instantdtedayseasonyrmnthholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredcnt
012011-01-0110106020.3441670.3636250.8058330.160446331654985
122011-01-0210100020.3634780.3537390.6960870.248539131670801
232011-01-0310101110.1963640.1894050.4372730.24830912012291349
342011-01-0410102110.2000000.2121220.5904350.16029610814541562
452011-01-0510103110.2269570.2292700.4369570.1869008215181600
\n", + "
" + ], + "text/plain": [ + " instant dteday season yr mnth holiday weekday workingday \\\n", + "0 1 2011-01-01 1 0 1 0 6 0 \n", + "1 2 2011-01-02 1 0 1 0 0 0 \n", + "2 3 2011-01-03 1 0 1 0 1 1 \n", + "3 4 2011-01-04 1 0 1 0 2 1 \n", + "4 5 2011-01-05 1 0 1 0 3 1 \n", + "\n", + " weathersit temp atemp hum windspeed casual registered \\\n", + "0 2 0.344167 0.363625 0.805833 0.160446 331 654 \n", + "1 2 0.363478 0.353739 0.696087 0.248539 131 670 \n", + "2 1 0.196364 0.189405 0.437273 0.248309 120 1229 \n", + "3 1 0.200000 0.212122 0.590435 0.160296 108 1454 \n", + "4 1 0.226957 0.229270 0.436957 0.186900 82 1518 \n", + "\n", + " cnt \n", + "0 985 \n", + "1 801 \n", + "2 1349 \n", + "3 1562 \n", + "4 1600 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Reading in the data\n", + "\n", + "DIR = \"../../data/\"\n", + "DATA = \"bike-sharing-daily.csv\"\n", + "day_bike_rentals = pd.read_csv(DIR+DATA)\n", + "day_bike_rentals.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Cleaning" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Categorical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Label Lists\n", + "\n", + "weekdays = ['SUN', 'MON', 'TUE', 'WED', 'THU', 'FRI', 'SAT']\n", + "holidays = ['NO HOLIDAY', 'HOLIDAY']\n", + "working_day = ['NO WORKING DAY', 'WORKING DAY']\n", + "season = ['WINTER', 'SPRING', 'SUMMER', 'FALL']\n", + "weathersit = ['GOOD', 'MISTY', 'RAIN/SNOW/STORM']\n", + "months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC']" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Function to create a dictionary mapping index of list to the respective label\n", + "\n", + "def create_dictionary(label_list, start_at_zero=True):\n", + " d = {}\n", + " if start_at_zero:\n", + " for idx, val in enumerate(label_list):\n", + " d[idx] = val\n", + " else:\n", + " for idx, val in enumerate(label_list):\n", + " d[idx+1] = val\n", + " return d" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Mapping the indicies to actual labels\n", + "\n", + "day_bike_rentals['weekday'] = day_bike_rentals['weekday'].map(create_dictionary(weekdays))\n", + "day_bike_rentals['holiday'] = day_bike_rentals['holiday'].map(create_dictionary(holidays))\n", + "day_bike_rentals['workingday'] = day_bike_rentals['workingday'].map(create_dictionary(working_day))\n", + "day_bike_rentals['season'] = day_bike_rentals['season'].map(create_dictionary(season, start_at_zero=False))\n", + "day_bike_rentals['weathersit'] = day_bike_rentals['weathersit'].map(create_dictionary(weathersit, start_at_zero=False))\n", + "day_bike_rentals['mnth'] = day_bike_rentals['mnth'].map(create_dictionary(months, start_at_zero=False))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Numerical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Denormalizing the temperture\n", + "\n", + "# Function that denormalizes temperture\n", + "def inverse_min_max(row, tmin, tmax):\n", + " return row * (tmax - tmin) + tmin\n", + "\n", + "# t_min=-8, t_max=+39\n", + "day_bike_rentals['temp'] = day_bike_rentals['temp'].apply(inverse_min_max, args=(-8, 39))\n", + "\n", + "# t_min=-16, t_max=+50\n", + "day_bike_rentals['atemp'] = day_bike_rentals['atemp'].apply(inverse_min_max, args=(-16, 50))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# DeNormalized wind speed. The values are divided by 67 (max)\n", + "\n", + "day_bike_rentals['windspeed'] = day_bike_rentals['windspeed'].apply(lambda row: row * 67)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# Dormalized humidity. The values are divided by 100 (max)\n", + "\n", + "day_bike_rentals['hum'] = day_bike_rentals['hum'].apply(lambda row: row * 100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Temporal Features" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Processing time features\n", + "\n", + "day_bike_rentals['yr'] = day_bike_rentals['yr'].apply(lambda row: 2011 if row == 0 else 2012)\n", + "day_bike_rentals['dteday'] = pd.to_datetime(day_bike_rentals['dteday'])\n", + "day_bike_rentals['days_since_2011'] = (day_bike_rentals['dteday'] - day_bike_rentals['dteday'].min()).dt.days" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Processing" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "# Extracting only the needed features\n", + "\n", + "day_bike_rentals = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dummifying Categorical Features" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['season', 'mnth', 'holiday', 'weekday', 'workingday', 'weathersit']" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Collecting only the categorical features\n", + "\n", + "categorical_features = [col for col in day_bike_rentals.columns if day_bike_rentals[col].dtype == 'object']\n", + "categorical_features" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['season', 'holiday', 'workingday', 'weathersit']" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Collecting all the features that needs to be dummified \n", + "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", + "sub_features" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
08.17584980.583310.74988298500011010
19.08346669.608716.65211380110011010
21.22910843.727316.636703134920011100
31.40000059.043510.739832156230011100
42.66697943.695712.522300160040011100
\n", + "
" + ], + "text/plain": [ + " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", + "0 8.175849 80.5833 10.749882 985 0 0 \n", + "1 9.083466 69.6087 16.652113 801 1 0 \n", + "2 1.229108 43.7273 16.636703 1349 2 0 \n", + "3 1.400000 59.0435 10.739832 1562 3 0 \n", + "4 2.666979 43.6957 12.522300 1600 4 0 \n", + "\n", + " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", + "0 0 1 1 0 \n", + "1 0 1 1 0 \n", + "2 0 1 1 1 \n", + "3 0 1 1 1 \n", + "4 0 1 1 1 \n", + "\n", + " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", + "0 1 0 \n", + "1 1 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 " + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Dummifying categorical features\n", + "cleaned_bike_data = pd.concat([day_bike_rentals, pd.get_dummies(day_bike_rentals[sub_features], drop_first=True)], axis=1)\n", + "\n", + "# Dropping unnecessary columns\n", + "bike = cleaned_bike_data.drop(sub_features + ['yr', 'mnth', 'weekday'], axis=1)\n", + "\n", + "# Viewing the result\n", + "bike.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
temp731.015.2830858.603397-5.2208717.84292515.42165122.80457532.498349
hum731.062.78940614.2429100.00000052.00000062.66670073.02085097.250000
windspeed731.012.7625765.1923571.5002449.04165012.12532515.62537134.000021
cnt731.04504.3488371937.21145222.0000003152.0000004548.0000005956.0000008714.000000
days_since_2011731.0365.000000211.1658120.000000182.500000365.000000547.500000730.000000
season_SPRING731.00.2517100.4342930.0000000.0000000.0000001.0000001.000000
season_SUMMER731.00.2571820.4373800.0000000.0000000.0000001.0000001.000000
season_WINTER731.00.2476060.4319170.0000000.0000000.0000000.0000001.000000
holiday_NO HOLIDAY731.00.9712720.1671550.0000001.0000001.0000001.0000001.000000
workingday_WORKING DAY731.00.6839950.4652330.0000000.0000001.0000001.0000001.000000
weathersit_MISTY731.00.3378930.4733160.0000000.0000000.0000001.0000001.000000
weathersit_RAIN/SNOW/STORM731.00.0287280.1671550.0000000.0000000.0000000.0000001.000000
\n", + "
" + ], + "text/plain": [ + " count mean std min \\\n", + "temp 731.0 15.283085 8.603397 -5.220871 \n", + "hum 731.0 62.789406 14.242910 0.000000 \n", + "windspeed 731.0 12.762576 5.192357 1.500244 \n", + "cnt 731.0 4504.348837 1937.211452 22.000000 \n", + "days_since_2011 731.0 365.000000 211.165812 0.000000 \n", + "season_SPRING 731.0 0.251710 0.434293 0.000000 \n", + "season_SUMMER 731.0 0.257182 0.437380 0.000000 \n", + "season_WINTER 731.0 0.247606 0.431917 0.000000 \n", + "holiday_NO HOLIDAY 731.0 0.971272 0.167155 0.000000 \n", + "workingday_WORKING DAY 731.0 0.683995 0.465233 0.000000 \n", + "weathersit_MISTY 731.0 0.337893 0.473316 0.000000 \n", + "weathersit_RAIN/SNOW/STORM 731.0 0.028728 0.167155 0.000000 \n", + "\n", + " 25% 50% 75% max \n", + "temp 7.842925 15.421651 22.804575 32.498349 \n", + "hum 52.000000 62.666700 73.020850 97.250000 \n", + "windspeed 9.041650 12.125325 15.625371 34.000021 \n", + "cnt 3152.000000 4548.000000 5956.000000 8714.000000 \n", + "days_since_2011 182.500000 365.000000 547.500000 730.000000 \n", + "season_SPRING 0.000000 0.000000 1.000000 1.000000 \n", + "season_SUMMER 0.000000 0.000000 1.000000 1.000000 \n", + "season_WINTER 0.000000 0.000000 0.000000 1.000000 \n", + "holiday_NO HOLIDAY 1.000000 1.000000 1.000000 1.000000 \n", + "workingday_WORKING DAY 0.000000 1.000000 1.000000 1.000000 \n", + "weathersit_MISTY 0.000000 0.000000 1.000000 1.000000 \n", + "weathersit_RAIN/SNOW/STORM 0.000000 0.000000 0.000000 1.000000 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bike.describe().T" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def data_pipeline():\n", + " \n", + " # Reading in the data\n", + " day_bike_rentals = pd.read_csv(DIR+DATA)\n", + " \n", + " # Mapping numerical codes with actual values\n", + " day_bike_rentals['weekday'] = day_bike_rentals['weekday'].map(create_dictionary(weekdays))\n", + " day_bike_rentals['holiday'] = day_bike_rentals['holiday'].map(create_dictionary(holidays))\n", + " day_bike_rentals['workingday'] = day_bike_rentals['workingday'].map(create_dictionary(working_day))\n", + " day_bike_rentals['season'] = day_bike_rentals['season'].map(create_dictionary(season, start_at_zero=False))\n", + " day_bike_rentals['weathersit'] = day_bike_rentals['weathersit'].map(create_dictionary(weathersit, start_at_zero=False))\n", + " day_bike_rentals['mnth'] = day_bike_rentals['mnth'].map(create_dictionary(months, start_at_zero=False))\n", + " \n", + " # Reversing min_max\n", + " day_bike_rentals['temp'] = day_bike_rentals['temp'].apply(inverse_min_max, args=(-8, 39))\n", + " day_bike_rentals['atemp'] = day_bike_rentals['atemp'].apply(inverse_min_max, args=(-16, 50))\n", + " \n", + " # Unnormalizing the data\n", + " day_bike_rentals['windspeed'] = day_bike_rentals['windspeed'].apply(lambda row: row * 67)\n", + " day_bike_rentals['hum'] = day_bike_rentals['hum'].apply(lambda row: row * 100)\n", + " \n", + " # Converting labels into actual year\n", + " day_bike_rentals['yr'] = day_bike_rentals['yr'].apply(lambda row: 2011 if row == 0 else 2012)\n", + " \n", + " # Converting 'dteday' to datetime object\n", + " day_bike_rentals['dteday'] = pd.to_datetime(day_bike_rentals['dteday'])\n", + "\n", + " # Calculating days since 2011\n", + " day_bike_rentals['days_since_2011'] = (day_bike_rentals['dteday'] - day_bike_rentals['dteday'].min()).dt.days\n", + " \n", + " # Feature selecting\n", + " day_bike_rentals = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]]\n", + " \n", + " # Dummifying categorical features\n", + " day_bike_rentals = pd.concat([day_bike_rentals, pd.get_dummies(day_bike_rentals[sub_features], drop_first=True)], axis=1)\n", + " \n", + " # Returning the cleaned data\n", + " return day_bike_rentals " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
seasonyrmnthholidayweekdayworkingdayweathersittemphumwindspeedcntdays_since_2011
0WINTER2011JANNO HOLIDAYSATNO WORKING DAYMISTY8.17584980.583310.7498829850
1WINTER2011JANNO HOLIDAYSUNNO WORKING DAYMISTY9.08346669.608716.6521138011
2WINTER2011JANNO HOLIDAYMONWORKING DAYGOOD1.22910843.727316.63670313492
3WINTER2011JANNO HOLIDAYTUEWORKING DAYGOOD1.40000059.043510.73983215623
4WINTER2011JANNO HOLIDAYWEDWORKING DAYGOOD2.66697943.695712.52230016004
\n", + "
" + ], + "text/plain": [ + " season yr mnth holiday weekday workingday weathersit temp \\\n", + "0 WINTER 2011 JAN NO HOLIDAY SAT NO WORKING DAY MISTY 8.175849 \n", + "1 WINTER 2011 JAN NO HOLIDAY SUN NO WORKING DAY MISTY 9.083466 \n", + "2 WINTER 2011 JAN NO HOLIDAY MON WORKING DAY GOOD 1.229108 \n", + "3 WINTER 2011 JAN NO HOLIDAY TUE WORKING DAY GOOD 1.400000 \n", + "4 WINTER 2011 JAN NO HOLIDAY WED WORKING DAY GOOD 2.666979 \n", + "\n", + " hum windspeed cnt days_since_2011 \n", + "0 80.5833 10.749882 985 0 \n", + "1 69.6087 16.652113 801 1 \n", + "2 43.7273 16.636703 1349 2 \n", + "3 59.0435 10.739832 1562 3 \n", + "4 43.6957 12.522300 1600 4 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ef_bike = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]]\n", + "ef_bike.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "season 4\n", + "yr 2\n", + "mnth 12\n", + "holiday 2\n", + "weekday 7\n", + "workingday 2\n", + "weathersit 3\n", + "temp 499\n", + "hum 595\n", + "windspeed 650\n", + "cnt 696\n", + "days_since_2011 731\n", + "dtype: int64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ef_bike.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "GOOD 463\n", + "MISTY 247\n", + "RAIN/SNOW/STORM 21\n", + "Name: weathersit, dtype: int64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ef_bike['weathersit'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "df_bike = pd.get_dummies(ef_bike['weathersit'], drop_first=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Splitting the Data" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(731, 2)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_bike.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# Training data\n", + "\n", + "X = bike[[col for col in bike.columns if col != 'cnt']]\n", + "y = bike['cnt']" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "\n", + "lr = LinearRegression()\n", + "lr.fit(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dummy coeficients: [ 110.70958159 -17.37719923 -42.51347178 4.92643186\n", + " 473.71530337 -287.38742028 -425.60285274 686.11544159\n", + " 124.92093811 -379.39852979 -1901.53991489], Dummy intercept: 2138.9296219985613\n" + ] + } + ], + "source": [ + "print(f\"Dummy coeficients: {lr.coef_}, Dummy intercept: {lr.intercept_}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Effect Coding" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 731 entries, 0 to 730\n", + "Data columns (total 2 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 MISTY 731 non-null int64\n", + " 1 RAIN/SNOW/STORM 731 non-null int64\n", + "dtypes: int64(2)\n", + "memory usage: 11.5 KB\n" + ] + } + ], + "source": [ + "# Converting numerical values to type int64\n", + "''' \n", + " Currently it is int8 and int8 cannot interpret negative values \n", + "'''\n", + "\n", + "df_bike = df_bike.astype(int)\n", + "df_bike.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Setting the reference category to -1\n", + "\n", + "df_bike.loc[(df_bike['MISTY']==0) & (df_bike['RAIN/SNOW/STORM']==0),'MISTY'] = -1\n", + "df_bike.loc[(df_bike['MISTY']==-1) & (df_bike['RAIN/SNOW/STORM']==0),'RAIN/SNOW/STORM'] = -1" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Effect Coding coeficients: [ 110.70958159 -17.37719923 -42.51347178 4.92643186\n", + " 473.71530337 -287.38742028 -425.60285274 686.11544159\n", + " 124.92093811 -379.39852979 -1901.53991489]\n", + "Effect Coding intercept: 2138.9296219985613\n" + ] + } + ], + "source": [ + "# Printing the coeficients and intercept of LR\n", + "\n", + "print(f\"Effect Coding coeficients: {lr.coef_}\\nEffect Coding intercept: {lr.intercept_}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Effect of 'GOOD': 2045.5972396403506\n", + "Effect of 'MISTY': 2249.639203591673\n", + "Effect of 'RAIN': 2121.5524227636606\n" + ] + } + ], + "source": [ + "# Calculating effect coding\n", + "\n", + "effect_of_good = lr.intercept_ - (lr.coef_[0]+lr.coef_[1])\n", + "effect_of_misty = lr.intercept_ + lr.coef_[0]\n", + "effect_of_rain = lr.intercept_ + lr.coef_[1]\n", + "print(f\"Effect of 'GOOD': {effect_of_good}\\nEffect of 'MISTY': {effect_of_misty}\\nEffect of 'RAIN': {effect_of_rain}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Splitting Data into Train and Test Sets" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "\n", + "X = bike[[col for col in bike.columns if col != 'cnt']]\n", + "y = bike['cnt']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import MinMaxScaler\n", + "\n", + "mms = MinMaxScaler()\n", + "\n", + "scale_columns = ['temp', 'hum', 'windspeed']\n", + "\n", + "for col in scale_columns:\n", + " mms.fit(X_train[col].values.reshape(-1,1))\n", + " X_train[col] = mms.transform(X_train[col].values.reshape(-1,1))\n", + " X_test[col] = mms.transform(X_test[col].values.reshape(-1,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Linear Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Linear Regession\n" + ] + }, + { + "data": { + "text/plain": [ + "array([ 4119.68595694, -1270.84325983, -1128.71029573, 4.8310698 ,\n", + " 468.29339945, -200.30842603, -360.94542215, 485.53541273,\n", + " 96.92766521, -300.13333285, -1896.75540058])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Training the Data\n", + "\n", + "from sklearn.linear_model import LinearRegression\n", + "\n", + "lr = LinearRegression()\n", + "lr.fit(X_train,y_train)\n", + "\n", + "print(\"Linear Regession\")\n", + "lr.coef_" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MSE: 884897.294264837\n" + ] + } + ], + "source": [ + "# Evaluate the data\n", + "\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "predictions = lr.predict(X_test)\n", + "print(f\"MSE: {mean_squared_error(predictions, y_test)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Lasso Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lasso Regression: \n" + ] + }, + { + "data": { + "text/plain": [ + "array([ 4086.18142137, -1251.03700225, -1114.61277435, 4.83844788,\n", + " 475.98848393, -181.43877689, -358.58597195, 465.58406442,\n", + " 96.32689137, -301.20879631, -1885.99734402])" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Imports\n", + "from sklearn.linear_model import Lasso\n", + "\n", + "# Fitting the model\n", + "lasso = Lasso(alpha=0.5)\n", + "lasso.fit(X_train, y_train)\n", + "print(\"Lasso Regression: \")\n", + "lasso.coef_" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MSE: 751649.6486909935\n", + "MSE: 886927.2630415942\n" + ] + } + ], + "source": [ + "# Evaluate the data\n", + "\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "train_mse = mean_squared_error(lasso.predict(X_train), y_train)\n", + "predictions = lasso.predict(X_test)\n", + "\n", + "print(f\"MSE: {train_mse}\")\n", + "print(f\"MSE: {mean_squared_error(predictions, y_test)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hyperparameter Tuning" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['mean_fit_time',\n", + " 'mean_score_time',\n", + " 'mean_test_score',\n", + " 'param_alpha',\n", + " 'params',\n", + " 'rank_test_score',\n", + " 'split0_test_score',\n", + " 'split1_test_score',\n", + " 'split2_test_score',\n", + " 'split3_test_score',\n", + " 'split4_test_score',\n", + " 'std_fit_time',\n", + " 'std_score_time',\n", + " 'std_test_score']" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Using GridSearch and CV to find best alpha\n", + "\n", + "lasso = Lasso()\n", + "\n", + "from sklearn.model_selection import GridSearchCV\n", + "\n", + "parameters = {\"alpha\":np.arange(.1,1.1, 0.1)}\n", + "grid_search = GridSearchCV(\n", + " estimator=Lasso(),\n", + " param_grid=parameters,\n", + ")\n", + "\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "sorted(grid_search.cv_results_.keys())" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.1" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grid_search.best_params_['alpha']" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train performance: 751596.8213950731, Test performance: 885291.6766173533\n" + ] + } + ], + "source": [ + "lasso = Lasso(alpha=0.1)\n", + "\n", + "# Fitting the model\n", + "lasso.fit(X_train, y_train)\n", + "\n", + "# Calculating the train performance\n", + "train_predictions = lasso.predict(X_train)\n", + "train_mse = mean_squared_error(train_predictions, y_train)\n", + "\n", + "# Calculating the test performance\n", + "test_predictions = lasso.predict(X_test)\n", + "test_mse = mean_squared_error(y_test, test_predictions)\n", + "\n", + "print(f\"Train performance: {train_mse}, Test performance: {test_mse}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 4113.03486783, -1266.8947437 , -1125.89284108, 4.83253953,\n", + " 469.8202845 , -196.55402595, -360.46931257, 481.54641279,\n", + " 96.80660755, -300.34475081, -1894.59623269])" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lasso.coef_" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# Feature is line\n", + "# y: weights are weights\n", + "# x: lambda" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "# for num in np.arange(.1,1.1, 0.01):\n", + "# print(np.log(num))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Decision Trees" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
seasonyrmnthholidayweekdayworkingdayweathersittemphumwindspeedcntdays_since_2011
0WINTER2011JANNO HOLIDAYSATNO WORKING DAYMISTY8.17584980.583310.7498829850
1WINTER2011JANNO HOLIDAYSUNNO WORKING DAYMISTY9.08346669.608716.6521138011
2WINTER2011JANNO HOLIDAYMONWORKING DAYGOOD1.22910843.727316.63670313492
3WINTER2011JANNO HOLIDAYTUEWORKING DAYGOOD1.40000059.043510.73983215623
4WINTER2011JANNO HOLIDAYWEDWORKING DAYGOOD2.66697943.695712.52230016004
\n", + "
" + ], + "text/plain": [ + " season yr mnth holiday weekday workingday weathersit temp \\\n", + "0 WINTER 2011 JAN NO HOLIDAY SAT NO WORKING DAY MISTY 8.175849 \n", + "1 WINTER 2011 JAN NO HOLIDAY SUN NO WORKING DAY MISTY 9.083466 \n", + "2 WINTER 2011 JAN NO HOLIDAY MON WORKING DAY GOOD 1.229108 \n", + "3 WINTER 2011 JAN NO HOLIDAY TUE WORKING DAY GOOD 1.400000 \n", + "4 WINTER 2011 JAN NO HOLIDAY WED WORKING DAY GOOD 2.666979 \n", + "\n", + " hum windspeed cnt days_since_2011 \n", + "0 80.5833 10.749882 985 0 \n", + "1 69.6087 16.652113 801 1 \n", + "2 43.7273 16.636703 1349 2 \n", + "3 59.0435 10.739832 1562 3 \n", + "4 43.6957 12.522300 1600 4 " + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ef_bike.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# Getting data\n", + "\n", + "dt_columns = ['temp', 'season', 'days_since_2011','windspeed', 'hum', 'cnt']\n", + "\n", + "dt_df = ef_bike[dt_columns]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Label Encoding 'season'" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/3h/n7g9d8x521gg4nfvf31y3_840000gn/T/ipykernel_15068/2549798644.py:5: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " dt_df['labeled_season'] = le.fit_transform(dt_df['season'])\n" + ] + } + ], + "source": [ + "\n", + "from sklearn.preprocessing import LabelEncoder\n", + "\n", + "le = LabelEncoder()\n", + "\n", + "dt_df['labeled_season'] = le.fit_transform(dt_df['season'])" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "# Splitting the data into train test split\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "X = dt_df[[col for col in dt_df.columns if col not in ['cnt','season']]]\n", + "y = dt_df['cnt']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tempdays_since_2011windspeedhumlabeled_season
08.175849010.74988280.58333
19.083466116.65211369.60873
21.229108216.63670343.72733
31.400000310.73983259.04353
42.666979412.52230043.69573
\n", + "
" + ], + "text/plain": [ + " temp days_since_2011 windspeed hum labeled_season\n", + "0 8.175849 0 10.749882 80.5833 3\n", + "1 9.083466 1 16.652113 69.6087 3\n", + "2 1.229108 2 16.636703 43.7273 3\n", + "3 1.400000 3 10.739832 59.0435 3\n", + "4 2.666979 4 12.522300 43.6957 3" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.tree import DecisionTreeRegressor\n", + "\n", + "dt = DecisionTreeRegressor()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
DecisionTreeRegressor()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "DecisionTreeRegressor()" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dt.fit(X_train,y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.22038283, 0.64386564, 0.04414508, 0.08394337, 0.00766308])" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dt.feature_importances_" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['temp', 'days_since_2011', 'windspeed', 'hum', 'labeled_season'],\n", + " dtype=object)" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn import tree\n", + "\n", + "dt.feature_names_in_" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 temp\n", + "1 days_since_2011\n", + "2 windspeed\n", + "3 hum\n", + "4 labeled_season\n", + "dtype: object" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.Series(dt.feature_names_in_)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
featuresimportance
4labeled_season0.007663
2windspeed0.044145
3hum0.083943
0temp0.220383
1days_since_20110.643866
\n", + "
" + ], + "text/plain": [ + " features importance\n", + "4 labeled_season 0.007663\n", + "2 windspeed 0.044145\n", + "3 hum 0.083943\n", + "0 temp 0.220383\n", + "1 days_since_2011 0.643866" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fi_df = pd.DataFrame({'features':dt.feature_names_in_, 'importance': dt.feature_importances_}).sort_values('importance')\n", + "fi_df" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(fi_df['importance'], fi_df['features'])\n", + "plt.grid()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "# le.inverse_transform(dt_df['labeled_season'])" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "season_map = {\n", + " 'WINTER': 1,\n", + " 'FALL': 2,\n", + " 'SPRING': 3,\n", + " 'SUMMER': 4\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/3h/n7g9d8x521gg4nfvf31y3_840000gn/T/ipykernel_15068/3250286714.py:1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " dt_df['my_season'] = dt_df['season'].map(season_map)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
tempseasondays_since_2011windspeedhumcntlabeled_seasonmy_season
08.175849WINTER010.74988280.583398531
19.083466WINTER116.65211369.608780131
21.229108WINTER216.63670343.7273134931
31.400000WINTER310.73983259.0435156231
42.666979WINTER412.52230043.6957160031
...........................
7263.945849WINTER72623.45891165.2917211431
7273.906651WINTER72710.41655759.0000309531
7283.906651WINTER7288.33366175.2917134131
7294.024151WINTER72923.50051848.3333179631
7302.144151WINTER73010.37468257.7500272931
\n", + "

731 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " temp season days_since_2011 windspeed hum cnt \\\n", + "0 8.175849 WINTER 0 10.749882 80.5833 985 \n", + "1 9.083466 WINTER 1 16.652113 69.6087 801 \n", + "2 1.229108 WINTER 2 16.636703 43.7273 1349 \n", + "3 1.400000 WINTER 3 10.739832 59.0435 1562 \n", + "4 2.666979 WINTER 4 12.522300 43.6957 1600 \n", + ".. ... ... ... ... ... ... \n", + "726 3.945849 WINTER 726 23.458911 65.2917 2114 \n", + "727 3.906651 WINTER 727 10.416557 59.0000 3095 \n", + "728 3.906651 WINTER 728 8.333661 75.2917 1341 \n", + "729 4.024151 WINTER 729 23.500518 48.3333 1796 \n", + "730 2.144151 WINTER 730 10.374682 57.7500 2729 \n", + "\n", + " labeled_season my_season \n", + "0 3 1 \n", + "1 3 1 \n", + "2 3 1 \n", + "3 3 1 \n", + "4 3 1 \n", + ".. ... ... \n", + "726 3 1 \n", + "727 3 1 \n", + "728 3 1 \n", + "729 3 1 \n", + "730 3 1 \n", + "\n", + "[731 rows x 8 columns]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dt_df['my_season'] = dt_df['season'].map(season_map)\n", + "dt_df" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "# Splitting the data into train test split\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "X = dt_df[[col for col in dt_df.columns if col not in ['cnt','season', 'labeled_season']]]\n", + "y = dt_df['cnt']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Features')" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "dt = DecisionTreeRegressor()\n", + "dt.fit(X,y)\n", + "fi_df = pd.DataFrame({'features':dt.feature_names_in_, 'importance': dt.feature_importances_}).sort_values('importance')\n", + "plt.scatter(fi_df['importance'], fi_df['features'])\n", + "plt.grid()\n", + "plt.xlabel('Importance')\n", + "plt.ylabel('Features')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On average, 70% of node purity was explained by (contributed to) 'days_since_2011'." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Partial Dependence Plot\n", + "1. Run a model (preferably Tree model)\n", + "2. from sklearn.inspection import plot_partial_dependence" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.ensemble import RandomForestRegressor" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestRegressor(n_estimators=50, random_state=0)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestRegressor(n_estimators=50, random_state=0)" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rf = RandomForestRegressor(\n", + " n_estimators=50,\n", + " random_state=0\n", + ")\n", + "\n", + "rf.fit(\n", + " X_train,\n", + " y_train,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.inspection import plot_partial_dependence, PartialDependenceDisplay\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "PartialDependenceDisplay.from_estimator(\n", + " estimator=rf,\n", + " X=X_train,\n", + " features=X_train.columns,\n", + " target=y_train,\n", + " ax=ax\n", + ")\n", + "ax.set_title(\"Partial Dependence Plot\")\n", + "plt.tight_layout();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Temperature affects the Bike Count by:\n", + "* positively correlation from 0-15 degrees C\n", + "* levels off from 15-25 degrees C\n", + "* starts a slight dip after 25 deegrees C\n", + "\n", + "Days Since 2011\n", + "* Overall positive trend\n", + "* Cyclic\n", + "\n", + "Windspeed\n", + "* As wind speed increases, the bike count decreases\n", + "\n", + "Humidity\n", + "* Similar to windspeed\n", + "* As Humidity increases, the number of bikes rented decreases slightly\n", + "\n", + "Season\n", + "* Seems not to affect the number of rented bikes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ALE Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "from PyALE import ale" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [], + "source": [ + "le = LabelEncoder()\n", + "cleaned_bike_data['mnth'] = le.fit_transform(cleaned_bike_data['mnth'])" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [], + "source": [ + "# Splitting the data into train test split\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "X = cleaned_bike_data[[col for col in cleaned_bike_data.columns if col not in ['cnt', 'season', 'working_day', 'weathersit']]]\n", + "y = cleaned_bike_data['cnt']\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "could not convert string to float: 'NO HOLIDAY'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m/Users/tqrahman/Desktop/Biased_Outliers/interpretable-ml-book/Python/bike-sharing/bike-sharing-dataset.ipynb Cell 82\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m rf \u001b[39m=\u001b[39m RandomForestRegressor()\n\u001b[0;32m----> 2\u001b[0m rf\u001b[39m.\u001b[39;49mfit(X_train, y_train)\n", + "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/sklearn/ensemble/_forest.py:331\u001b[0m, in \u001b[0;36mBaseForest.fit\u001b[0;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[39mif\u001b[39;00m issparse(y):\n\u001b[1;32m 330\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39msparse multilabel-indicator for y is not supported.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 331\u001b[0m X, y \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_validate_data(\n\u001b[1;32m 332\u001b[0m X, y, multi_output\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, accept_sparse\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mcsc\u001b[39;49m\u001b[39m\"\u001b[39;49m, dtype\u001b[39m=\u001b[39;49mDTYPE\n\u001b[1;32m 333\u001b[0m )\n\u001b[1;32m 334\u001b[0m \u001b[39mif\u001b[39;00m sample_weight \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 335\u001b[0m sample_weight \u001b[39m=\u001b[39m _check_sample_weight(sample_weight, X)\n", + "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/sklearn/base.py:596\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[0;34m(self, X, y, reset, validate_separately, **check_params)\u001b[0m\n\u001b[1;32m 594\u001b[0m y \u001b[39m=\u001b[39m check_array(y, input_name\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39my\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mcheck_y_params)\n\u001b[1;32m 595\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 596\u001b[0m X, y \u001b[39m=\u001b[39m check_X_y(X, y, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mcheck_params)\n\u001b[1;32m 597\u001b[0m out \u001b[39m=\u001b[39m X, y\n\u001b[1;32m 599\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m no_val_X \u001b[39mand\u001b[39;00m check_params\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mensure_2d\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mTrue\u001b[39;00m):\n", + "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/sklearn/utils/validation.py:1074\u001b[0m, in \u001b[0;36mcheck_X_y\u001b[0;34m(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)\u001b[0m\n\u001b[1;32m 1069\u001b[0m estimator_name \u001b[39m=\u001b[39m _check_estimator_name(estimator)\n\u001b[1;32m 1070\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 1071\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00mestimator_name\u001b[39m}\u001b[39;00m\u001b[39m requires y to be passed, but the target y is None\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1072\u001b[0m )\n\u001b[0;32m-> 1074\u001b[0m X \u001b[39m=\u001b[39m check_array(\n\u001b[1;32m 1075\u001b[0m X,\n\u001b[1;32m 1076\u001b[0m accept_sparse\u001b[39m=\u001b[39;49maccept_sparse,\n\u001b[1;32m 1077\u001b[0m accept_large_sparse\u001b[39m=\u001b[39;49maccept_large_sparse,\n\u001b[1;32m 1078\u001b[0m dtype\u001b[39m=\u001b[39;49mdtype,\n\u001b[1;32m 1079\u001b[0m order\u001b[39m=\u001b[39;49morder,\n\u001b[1;32m 1080\u001b[0m copy\u001b[39m=\u001b[39;49mcopy,\n\u001b[1;32m 1081\u001b[0m force_all_finite\u001b[39m=\u001b[39;49mforce_all_finite,\n\u001b[1;32m 1082\u001b[0m ensure_2d\u001b[39m=\u001b[39;49mensure_2d,\n\u001b[1;32m 1083\u001b[0m allow_nd\u001b[39m=\u001b[39;49mallow_nd,\n\u001b[1;32m 1084\u001b[0m ensure_min_samples\u001b[39m=\u001b[39;49mensure_min_samples,\n\u001b[1;32m 1085\u001b[0m ensure_min_features\u001b[39m=\u001b[39;49mensure_min_features,\n\u001b[1;32m 1086\u001b[0m estimator\u001b[39m=\u001b[39;49mestimator,\n\u001b[1;32m 1087\u001b[0m input_name\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mX\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m 1088\u001b[0m )\n\u001b[1;32m 1090\u001b[0m y \u001b[39m=\u001b[39m _check_y(y, multi_output\u001b[39m=\u001b[39mmulti_output, y_numeric\u001b[39m=\u001b[39my_numeric, estimator\u001b[39m=\u001b[39mestimator)\n\u001b[1;32m 1092\u001b[0m check_consistent_length(X, y)\n", + "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/sklearn/utils/validation.py:856\u001b[0m, in \u001b[0;36mcheck_array\u001b[0;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)\u001b[0m\n\u001b[1;32m 854\u001b[0m array \u001b[39m=\u001b[39m array\u001b[39m.\u001b[39mastype(dtype, casting\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39munsafe\u001b[39m\u001b[39m\"\u001b[39m, copy\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m 855\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 856\u001b[0m array \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49masarray(array, order\u001b[39m=\u001b[39;49morder, dtype\u001b[39m=\u001b[39;49mdtype)\n\u001b[1;32m 857\u001b[0m \u001b[39mexcept\u001b[39;00m ComplexWarning \u001b[39mas\u001b[39;00m complex_warning:\n\u001b[1;32m 858\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 859\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mComplex data not supported\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m{}\u001b[39;00m\u001b[39m\\n\u001b[39;00m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(array)\n\u001b[1;32m 860\u001b[0m ) \u001b[39mfrom\u001b[39;00m \u001b[39mcomplex_warning\u001b[39;00m\n", + "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/pandas/core/generic.py:2064\u001b[0m, in \u001b[0;36mNDFrame.__array__\u001b[0;34m(self, dtype)\u001b[0m\n\u001b[1;32m 2063\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__array__\u001b[39m(\u001b[39mself\u001b[39m, dtype: npt\u001b[39m.\u001b[39mDTypeLike \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m np\u001b[39m.\u001b[39mndarray:\n\u001b[0;32m-> 2064\u001b[0m \u001b[39mreturn\u001b[39;00m np\u001b[39m.\u001b[39;49masarray(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_values, dtype\u001b[39m=\u001b[39;49mdtype)\n", + "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'NO HOLIDAY'" + ] + } + ], + "source": [ + "rf = RandomForestRegressor()\n", + "rf.fit(X_train, y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "PyALE._ALE_generic:INFO: Continuous feature detected.\n", + "PyALE._ALE_generic:INFO: Continuous feature detected.\n", + "PyALE._ALE_generic:INFO: Continuous feature detected.\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgMAAAEWCAYAAAD7KJTiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAA7RUlEQVR4nO3deXhU9fn+8feTjUACYUnYwhaURRQRTFFQFNQWtCpqrVVr3bW1ahe/XbTLr6vd7GqrbbVutbVqrVZbF+qGAoIY9lVFArIECBCQJSQkeX5/zJk4xCQMJJOTZO7XdZ1r5iwz557PTGaenO1j7o6IiIgkr5SwA4iIiEi4VAyIiIgkORUDIiIiSU7FgIiISJJTMSAiIpLkVAyIiIgkORUDItIoM5tuZteGnSMRzGyCmb0ddg6RsKkYEGkmZnaTmRWZWYWZPVhn3kQzqzGz3cGw3sweN7OPxfG82cFjnq9n3hozO6Oe6XXXFx3GNbCONWZWHiyz2cweNLPsQ3j5mNkgM3MzSzuUx9XzPF3M7Ldm9n6Q571gPLcpzxs8t5vZkdFxd5/h7sOa+rwibZ2KAZHmsxH4MXB/Q/PdPRvoDJwIrARmmNnpB3neTwEVwMfNrPeh5HH37DrD7EaWPyfINwYoBL5zCOtqFmaWAbwMHA1MAboA44BtwNiWziOSLFQMiDQTd3/S3f9N5IerseXc3de7+/8D/gL8/CBPfQXwJ2AxcFlzZD1Ivg3A88AxdeeZWYqZfcfM1prZFjP7q5nlBLNfD253NLYV4iAuBwYA57v7cnevcfct7v4jd38uyHBUsOtih5ktM7NzY/I9aGZ3mdmzZrbLzN40syOCedF8i4J8nwm2oKyPefwaM/uamS02s51m9piZZQbzrjSzmXXao3ZLg5nlBO1RGrTPd8wsJZj3fTP7W8zjDtiKEjz36iBzsZl99jDaTuSwqRgQCdeTwBgzy6pvppkNBCYCfw+GyxMdyMz6A2cBC+qZfWUwTAIGA9nAH4J5pwS3XePYCtGQM4AX3H13A9nSgf8A/wN6AjcDfzez2E39FwM/ALoBq4DbAdw9mm9UkO+xBjJcRGSrRAFwLJHXG4/fAzlE2uVUIu/VVQd7UPDe3wmc6e6dgfHAwjjXKdIsVAyIhGsjYEDXBuZ/Dljs7suBR4GjzWx0nM/dN/jvOXaot+gI/NvMdgAzgdeAn9SzzGeBX7v76uAH+zbg4qYeJxCjB1DSyPwTiRQgP3P3Snd/BfgvcEnMMk+5+1x3ryJSQB13iBnudPeN7r6dSOFx0MebWSqRIuQ2d9/l7muAXxF5/+JRAxxjZh3dvcTdlx1iZpEmUTEgEq58wIEdDcy/nMgPWnTz/WtEdhvEY6O7d60z7Glk+fOCZQa6+xfdvbyeZfoCa2PG1wJpQK94AtU5mHFAPYtsA/o08hR9gXXuXlMnQ37M+KaY+3uJFA+H4nAenwuk89G2ya9/8Q8F78lngC8AJcEujuHxxxVpOhUDIuE6H5hf34+0mY0HhgC3mdkmM9sEnABc2oz/iR+qjcDAmPEBQBWwmUhR06g6BzO+X88iLwGTG9mCsRHoH90XH5NhQ1zpm2YP0Ck6Uudgzq3Afj7aNtFcBzwWOOBAUHef5u4fJ1IIrQTubb7YIgenYkCkmZhZWnCwWSqQamaZ9f1oW0S+mX0PuBb4VgNPeQXwIjCCyKbq44gc1NcRODNmufRgXZkNrbMZ/QP4qpkVBKce/gR4LNgkX0pkc/fgJjz/w8A64F9mNjw4YLGHmX3LzM4C3iTy3/o3zCzdzCYC5xDZhRKPzU3It4jIbprjgvf5+9EZ7l4NPA7cbmadg2M9bgGiBw0uBE4xswHBAZe3RR9rZr3MbGpQAFUAu4m0o0iLUTEg0ny+A5QDtxI56r+cA0/P62tmu4l82b8FjAQmuvv/6j5R8GNzEfB7d98UMxQT+cGM3VXwXLCu6PD92PXVGT7VxNd4f7D+14FiYB+Rg/hw971EDtabFRyfcOKhPrm7VxA5iHAlkULoA2Aukc3wb7p7JZEf/zOJ/Dd+N3C5u6+McxXfBx4K8l10iNneAX5IZOvFu0SOrYh1M5EtAKuDeY8QnGbq7i8CjxE5I2QekeMcolKIFA4bge1EDj684VCyiTSVuR90y56IiIi0Y9oyICIikuRUDIiIiCQ5FQMiIiJJTsWAiIhIkgvrXOXQ5ebm+qBBg8KOISIi0iLmzZu31d3z6puXtMXAoEGDKCoqCjuGiIhIizCztQ3N024CERGRJKdiQEREJMmpGBAREUlyKgZERESSnIoBERGRJKdiQEREJMmpGBAREUlyrfY6A2a2BtgFVANV7l5oZt2JdAM6CFgDXOTuZWZmwO+As4j0dX6lu88PI3dr5O7sqaxm2+4Ktu6uoHRXJdv2VLB9dyXpaSl0yUynS8e04DadLplpwW06GWmqF0VE2rtWWwwEJrn71pjxW4GX3f1nZnZrMP5NIn2bDwmGE4A/BrftVk2Ns6N8P1uDH/ituyvZuquCbXsq2Br82JfGTNu3v+aw1pOZnlJvkXBg8aBiQkSkLWvtxUBdU4GJwf2HgOlEioGpwF/d3YE5ZtbVzPq4e0koKQ9TZVUN2/ZUsG13JaW7I7dbd1cEP+iVH/7o765g+55Kqmv8I8+RmmJ0z8ogN7sDudkZDM7NIjc7gx7ZHWqn5Qb3u2dlUF3jfLBvPx+U7w9uq2LGqz4yvWxPJWu37eWD8v3sLN9PVT0ZYnVMT6Vv10z6detEv24d6d89chsd75GVQWTDjoiIhKU1FwMO/M/MHPizu98D9Ir5gd8E9Aru5wPrYh67PpgWajHg7uytrD7wv/fYH/k603aW76/3eTLTU8jN7kCP7A7kd81kVL8cegQ/6j2CH/i84H7XjumkpBzaj2vHjFR6dck8rNdXvr+6TgFxYEFRtnc/G3eUs76snMXrd1C298DXmJmeQu8umXTLyqBbp8jQPSudblkZdO+UQddOGXTPCqYF46l1Xp+7U1FVQ3llNXv3V1Nd7fTIziCrQ2v+eIuItB6t+dvyZHffYGY9gRfNbGXsTHf3oFCIm5ldD1wPMGDAgGYL+tLyzSxYV1b7I1+6u7J2/3xDm+dzOqbX/qAP79259r/1HtkZH/kPvlNGaqv879nM6JSRRqeMNHrnxFdM7K6oYn3ZXtZvL2d92V7WlZVTuquCsr2VbP5gH29v2sX2PZWU769uYJ3QJTOd7A5pVFRVU15ZTfn+aurbQJHdIY2enTuQ17kDvbpk0rNzB47Jz2HisDy6dspoyksXEWlXWm0x4O4bgtstZvYUMBbYHN38b2Z9gC3B4huA/jEP7xdMq/uc9wD3ABQWFh5SIdGYacs28eSCDR/ZPN8jK4Pczh/+yOcFtz2yOiTtvvTsDmkM792F4b27NLpceWU1ZXsrI8Oe/WzfW0nZnuh4JbsqqshMT6VjeiqdMlLJDG47pqeSkmJs3V3Blg8qKN1VwZZd+1i0fgebP9jHvv01pKYYxw/sxhlH9eT0o3pxRF52C716EZHWySK72VsXM8sCUtx9V3D/ReCHwOnAtpgDCLu7+zfM7JPATUTOJjgBuNPdxza2jsLCQm+uXgv37a8mIzXlkDfPS8uqqXEWb9jJS8s389KKzazctAuAgtwszjiqJ8cP7AZAVY1TXeNUVQe3Nc7AHp0Y1b8r2dr1ICJtlJnNc/fCeue10mJgMPBUMJoGPOLut5tZD+BxYACwlsiphduDUwv/AEwhcmrhVe7e6C99cxYD0jatL9vLKyu38NKKLcx5bxuV1Y2fcZFiMLRXZ8YM7MbQntmU7q5gQ1k5G3fuY1S/HK4YP4h+3Tq1UHoRkUPT5oqBlqBiQGLtrqiiuHQPqSlGWqpFblMit2bGu5t3Mf/9HSx4v4yF7+9gV0UVqSlGn5xMcrM7sGTDTgCmHN2bq08uqN3KICLSWjRWDGibpwiRYxlG9stpcH5+145MHNYTgOoaZ9vuCrpnZZCWGjn2Y+OOch6avYZH3nyfZ5eUcFz/rlxU2J+j+nQ+4ODKurV3ry6ZHzk7QkSkpWnLgEgz2lNRxRPz1vPArGLWbNt70OWPyMviR1OPYfyRuS2QTkSSmXYT1EPFgCRSTY2zdvte3tkcOVUy9n//6Fmi5ZXV3DermHXbyzlnVF++fdZRcZ+iKSJyqLSbQKSFpaQYBblZFORmNbrcxWMH8Mfp7/HH197jlRWb+erHh3LF+EGkpybnqaciEg5944iEKDM9la9+fCgvfvUUxhZ058fPruCTd87gjfe2kqxb7USk5Wk3gUgr4e68uHwzP/jPcjbsKGdIz2zOG53PuaP60r+7TlkUkabRMQP1UDEgrVV5ZTVPzF/P0ws2ULS2DIDCgd24+fQhnDo0L+R0ItJWqRioh4oBaQvWbd/LM4s28njROtZu28uV4wdx65nDyUxPDTuaiLQxKgbqoWJA2pJ9+6v5+QsreWDWGgbnZnHykFwG52ZRkJfN4Nws+nbtqOsViEijdDaBSBuXmZ7K9845monDevLbl97hyfkb2F1RVTs/Iy2F4/p15cLCfpx9bB86ZehPW0Tipy0DIm2Qu7N1dyWrS3dTvHUP75Xu5uUVW1i9dQ9ZGamcM6ovF32sP6P7d22V3V+LSMvTboJ6qBiQ9sbdKVpbxmNvrePZxSWU769maK9sLirsz/mj8+mR3SHsiCISIhUD9VAxIO3Zrn37+e/iEh57ax0L1+0gPdU446he3HzaEEb07RL38yzbuJNH3nyf2au3kZGaQqeMVDplpNExI7X2flZGKtmZaWR3SKNzZhrZHdLJzkyjY3oqmekpZKankpmWSu+cTDLSdGkTkbCoGKiHigFJFu9s3sVjb63jX/PXs7eimm9MGcbVJxWQ0sABh+7Ovxdu4ME31rJo3Q46pKUwYUguZkZ5ZTV7K6vYW1lN+f5q9lZWs6ciMn4wBblZPPGFcdpCIRISFQP1UDEgyWb7nkq+8cRiXlqxmQlDcrnjwlEf6Qthb2UVX39iMc8uLuHIntlcOnYAF4zJp2unjEafu7rG2V1RFRn2VbG7Yj/llTWU769m3/5qyvZWcvuzKxiZn8PfrzuBDmk6NVKkpakYqIeKAUlG7s7f3nyf259dToe0VH503jGcO6ovAGu27uHzD8/j3S27+Prk4Xzh1MHNevDhs4tLuPGR+Zw/Op9fXzRKBzaKtLAmn1poZt2AvkA5sMbda5oxn4i0EDPjcycO5KQjenDL44v40j8W8OLyzUw+uhffenIJZsaDV43llARc6fCTx/aheOtQfvm/dyjIzeJLpw9p9nWIyOFpsBgwsxzgRuASIAMoBTKBXmY2B7jb3V9tkZQi0qwG52XzxBfG8afX3uO3L73LfxZtZHjvztzzuUIG9EhcPwg3TjqS1Vv38OsX32FQblbtVgkRCVdjWwaeAP4KTHD3HbEzzOx44HNmNtjd70tgPhFJkLTUFG46bQgTh/XktXdKueqkQQm/WJGZ8dMLRrJ+ezlf++ci8rt25PiB3RK6ThE5OB0zICItrmxPJVPvmkWKwf++eqpOORRpAY0dM9DgX6CZjWlsSFxcEWnvumVl8IOpR7Nm214enrM27DgiSa+xbYK/Cm4zgUJgEWDAsUARMC6x0USkPZs4NI8JQ3K58+V3+VQcpy+KSOI0uGXA3Se5+ySgBBjj7oXufjwwGtjQUgFFpH0yM779yaPYtW8/d768Kuw4Ikktnh11w9x9SXTE3ZcCRyUukogki+G9u3BRYX8enrOG4q17wo4jkrTiKQYWm9lfzGxiMNwLLE50MBFJDrd8YijpqSn87PkVYUcRSVrxFANXAcuALwfD8mCaiEiT9eycyQ2nHsG0ZZt5c/W2sOOIJKWDFgPuvg/4E3Cru5/v7r8JpomINItrJwymT04m33tmGW+t2U5NTXKe8iwSloMWA2Z2LrAQeCEYP87MnklwLhFJIh0zUvnBuUezZtsePv2n2Zz881f4yXMrWLphJ8l6LRSRlnTQiw6Z2TzgNGC6u48Opi1x95EtkC9hdNEhkdZnd0UVLy3fzDOLNvL6O6VU1TiDc7O4sLAfnztxIJ0z08OOKNJmNbWjov3uvrNOD2Mq1UWk2WV3SOO80fmcNzqfHXsreX7pJp5euIFfvPA297y+musmDObycSoKRJpbPAcQLjOzS4FUMxtiZr8H3khwLhFJcl07ZXDJ2AE8ev04nr7xJMYM6MYd095mwi9e5d7XV1NZpc5TRZpLPMXAzcDRQAXwCLAT+EoCM4mIHGBU/67cf+XHePrGkzi2X1duf24Fk3/7Oi8t36xjCkSaQaPHDJhZKvBScCXCdkXHDIi0Xa++vYUf/3c575XuYcKQXC48vh+Fg7qT37Vj2NFEWq3DPmbA3avNrMbMctx9Z2LiiYgcmknDenLykbn8bc5afvfyu8x4dysAfXIyGTOwG4UDu1E4sDsj+nYhNcUO8mwiEs8BhLuBJWb2IlB7vVB3/1LCUomIHER6agpXnVTA504cyMpNuyhas52itWXMW1vGs4tLADh9eE/+ckUhdQ6AFpE64ikGngyGVs3MpgC/A1KBv7j7z0KOJCItIC01hWPyczgmP4crTyoAYMOOch55cy13vfoezyzayNTj8kNOKdK6HbQYcPeHzKwjMMDd326BTIcsOLbhLuDjwHrgLTN7xt2Xh5tMRMKQ37Ujt3x8GDPe3cqPn13BpOE96aLTEUUaFM8VCM+h9V+BcCywyt1Xu3sl8CgwNeRMIhKi1BTj9vNGsm13Bb+a1ir/jxFpNeI5tfD7RH5sdwC4+0JgcMISHZ58YF3M+PpgmogksZH9cvjciQN5eM5aFq/fEXYckVYrnmJgfz1nErTJq32Y2fVmVmRmRaWlpWHHEZEW8H+Th9EjuwPffmop1eoASaRe7eUKhBuA/jHj/YJpB3D3e9y90N0L8/LyWiyciISnS2Y63/nkUSzZsJO/v7k27DgirdLhXoHwy4kMdRjeAoaYWYGZZQAXA63tuAYRCcm5o/py0pE9uOOFt9mySz2wi9QVTzHwSXf/trt/LBi+A5yb6GCHwt2rgJuAacAK4HF3XxZuKhFpLcyMH009hoqqGm5/dkXYcURanXiKgdvinBYqd3/O3Ye6+xHufnvYeUSkdRmcl80XJh7B0ws3MmvV1rDjiLQqDV5nwMzOBM4C8s3szphZXYCqRAcTEWluX5x4BE8v3MA3nljMl04/kk+M6E23rIza+R/s20/Jjn2U7Cyv7RXRzDBgWO/O9O/eKaTkIonVYEdFZjYKOA74IfD/YmbtAl5197KEp0sgdVQkkpyK1mznq48vZN32ctJSjGP75bBrXxUlO/exu6Lh/3OyMlJ54SunqCCQNquxjooa7bUweHC6u+9PSLIQqRgQSV7uztINH/DskhKK1myne1YGfbt2pE9OJn2C247pqUS/HndV7Of6v85jZH4Of7/2BFLU+ZG0QYfda2FgrJl9HxgYLG+Au3tru/CQiEhczIyR/XIY2S8n7sd89+yj+Oa/lvDwnLVcMX5Q4sKJhCCeYuA+4KvAPKA6sXFERFqniwr78/zSTfzs+ZWcOjSPQblZYUcSaTbxnE2w092fd/ct7r4tOiQ8mYhIK2Jm/OyCY0lLNb72z0W6mqG0K/EUA6+a2R1mNs7MxkSHhCcTEWlleudk8v1zjqZobRkPzCoOO45Is4lnN8EJwW3sQQcOnNb8cUREWrcLxuTz/NJN3DHtbSYO68mRPbPDjiTSZAfdMuDuk+oZVAiISFIyM35ywTF0zEjla/9cRFV1m+y3TeQABy0GzKyXmd1nZs8H4yPM7JrERxMRaZ16ds7kB+cezcJ1O5h61yz+OP091m7bE3YskcMWz3UGngceAL7t7qPMLA1Y4O4jWyJgoug6AyLSFO7OI3Pf5/Gi9SxatwOAo/t24YyjenHK0DyO69+VVF2PQFqRpl506C13/5iZLXD30cG0he5+XPNHbTkqBkSkuawv28sLSzfx3JISFqzbgTt0yUzj5CG5nDIkj5OH5JLftSNmKg4kPE296NAeM+tB5KBBzOxEIt0Yi4gI0K9bJ66dMJhrJwymbE8lM1dt5fV3Snn93VKeW7IJgM6ZaRzZM5shPbMZf0QuU4/rq+JAWo14ioFbgGeAI8xsFpAHXJjQVCIibVS3rAzOGdWXc0b1xd15Z/Nu3izexrubd7Nqy25eXrGFx4vW069bRwoHdQ87rggQRzHg7vPN7FRgGJFLEb/dHvsqEBFpbmbGsN6dGda7c+20vZVVjPvpK9w/q1jFgLQa8ZxNcCOQ7e7L3H0pkG1mX0x8NBGR9qdTRhqXjB3AC0s3sW773rDjiADxXYHwOnffER0Jui6+LmGJRETaucvHDcTM+OvsNWFHEQHiKwZSLeYoFzNLBTISF0lEpH3r27UjZ43sw6Nz17G7oirsOCJxFQMvAI+Z2elmdjrwj2CaiIgcpqtPGsSuiiqeKFoXdhSRuIqBbwKvADcEw8vANxIZSkSkvRs9oBtjBnTlgTfWUKMeECVk8fRNUOPuf3L3C4Phz+5e3RLhRETas6tPLmDttr28vHJL2FEkyTVYDJjZf8zsHDNLr2feYDP7oZldndh4IiLt15Sje9M3J5P7Z6o7ZAlXY1sGrgMmACvN7C0ze87MXjGzYuDPwDx3v79FUoqItENpqSlcMX4Qs1dvq+3fQCQMB+2bAMDMBgF9gHLgHXdv8yfHqm8CEWkNdu3bz6l3TOeoPp35+7Unhh1H2rHG+iaI5wBC3H2Nu89294XtoRAQEWktOmemc+OkI5m1ahsz390adhxJUnEVAyIikjiXnTiA/K4d+fkLK3VmgYRCxYCISMg6pKXy1Y8PZcmGnTy3tCTsOJKEVAyIiLQC54/OZ1ivzvxy2tvsr64JO44kmXg6KjrJzF40s3fMbLWZFZvZ6pYIJyKSLFJTjK9PHsaabXt57C1dlVBa1kG7MAbuA74KzAN0sSERkQQ5/aieFA7sxu9efpcLxuTTKSOer2iRpotnN8FOd3/e3be4+7bokPBkIiJJxsy49czhlO6q4IFZa8KOI0kknmLgVTO7w8zGmdmY6JDwZCIiSahwUHfOOKonf3rtPXbsrQw7jiSJeIqBE4BC4CfAr4Lhl4kMJSKSzL42eRi7K6q4e/p7YUeRJHHQHVLuPqklgoiISMTw3l04f3Q+D76xhivHD6Jv145hR5J2Lp6zCXLM7NdmVhQMvzKznJYIJyKSrG75+FBw+O1L74QdRZJAPLsJ7gd2ARcFwwfAA4kKZGbfN7MNZrYwGM6KmXebma0ys7fNbHLM9CnBtFVmdmuisomItJR+3Tpx2YkDeWLeelZt2RV2HGnn4ikGjnD377n76mD4ATA4wbl+4+7HBcNzAGY2ArgYOBqYAtxtZqlmlgrcBZwJjAAuCZYVEWnTbjrtSDplpHH7syuorNKFiCRx4ikGys3s5OiImZ1EpPfCljYVeNTdK9y9GFgFjA2GVUGhUgk8GiwrItKmdc/K4CtnDOHVt0s59w8zWbJ+Z9iRpJ2Kpxi4AbjLzNaY2VrgD8AXEhuLm8xssZndb2bdgmn5QOxludYH0xqa/hFmdn302IfS0tJE5BYRaVbXThjMXy4vpGxvJefdPYtfvLBSlyuWZhfP2QQLgVFm1iUY/6CpKzWzl4De9cz6NvBH4EeAB7e/Aq5u6joB3P0e4B6AwsJCdQ0mIm3CGSN68bGC7tz+7HLunv4eWR3SuHHSkWHHknakwWLAzC5z97+Z2S11pgPg7r8+3JW6+xnxLGdm9wL/DUY3AP1jZvcLptHIdBGRdiGnYzq/uHAUW3dXcu+M1Vw+biCdM9PDjiXtRGO7CbKC2871DNmJCmRmfWJGzweWBvefAS42sw5mVgAMAeYCbwFDzKzAzDKIHGT4TKLyiYiE6cunD2HH3v38dfbasKNIO9LglgF3/3Nw9yV3nxU7LziIMFF+YWbHEdlNsAb4fJBnmZk9DiwHqoAb3b06yHMTMA1IBe5392UJzCciEppR/bty+vCe3PO6tg5I8zH3xnedm9l8dx9zsGltTWFhoRcVFYUdQ0TkkC1ev4Nz/zCLr31iKDedNiTsONJGmNk8dy+sb15jxwyMA8YDeXWOG+hC5D9wEREJwbH9unLGUT25d0Yxl48fRBdtHZAmauyYgQwixwakceDxAh8AFyY+moiINOQrZwxlZ/l+HlJXx9IMGjtm4DXgNTN70N11pIqISCtyTH4OZxzVi3tnrOaKk7R1QJomnosO/cXMukZHzKybmU1LXCQREYnHV84Ywgf7qnhg5pqwo0gbF08xkOvuO6Ij7l4G9ExYIhERicsx+Tl8YkQv7pu5mp3l+8OOI21YPMVAjZkNiI6Y2UAip/2JiEjIvhzdOjCrOOwo0obFUwx8G5hpZg+b2d+A14HbEhtLRETicXTfHCYf3Yv7ZhZr64ActoMWA+7+AjAGeIxIj4DHu7uOGRARaSW+fPpQdu2r4v6Z2jogh6fBYsDMhge3Y4ABwMZgGBBMExGRVmBE3y5MObo398/S1gE5PI31Wvh/wHVEeg2sy4HTEpJIREQO2ZfPGMILyzZx38xibvn40LDjSBvT2HUGrgtuJ7VcHBERORxH9enCmcf05oGZxVxzUgE5nXTdAYlfY5cjvqCxB7r7k80fR0REDteXzxjC80s3cd7dszhnVF/OPrYPQ3t1DjuWtAENdlRkZg8Ed3sS6aPglWB8EvCGu5+d+HiJo46KRKQ9em5JCQ/PXsubxduocRjaK5uzj40UBoPzEtb7vLQBjXVUFE+vhf8DrnD3kmC8D/Cgu09u9qQtSMWAiLRnW3bt44Wlm/jvohLeWrsd98iuhLOP7cPZx/ZhYI+ssCNKC2tqMbDC3Y+KGU8BlsVOa4tUDIhIsti0cx/PLSnhv4s3Mv/9HQCMzM/h7GP7cNbIPvTv3incgNIimloM/AEYAvwjmPQZYJW739ysKVuYigERSUYbdpTz3OJIYbBo/U4AjuvftbYw6Nu1Y8gJJVGaVAwET3A+cEow+rq7P9WM+UKhYkBEkt267Xv5b1AYLNv4AQDnjurL7y4+DjMLOZ00t8aKgcauMxBrPrDL3V8ys05m1tnddzVfRBERaWn9u3fiholHcMPEIyjeuof7Zq7mb3Pe58Lj+3HK0Lyw40kLOujliM3sOuAJ4M/BpHzg3wnMJCIiLawgN4vvnj2CPjmZ3Pnyu8Sz1Vjaj3g6KroROAn4AMDd30VdGIuItDsd0lK5YeIRFK0tY/bqbWHHkRYUTzFQ4e6V0REzS0NdGIuItEsXFfanZ+cO/P7lVWFHkRYUTzHwmpl9C+hoZh8H/gn8J7GxREQkDJnpqXz+1COYvXobc4u3hx1HWkg8xcA3gVJgCfB54DngO4kMJSIi4bl07AByszP4/Svvhh1FWkijZxOYWSqRCwwNB+5tmUgiIhKmjhmpXDdhMD99fiXz3y9jzIBuYUeSBGt0y4C7VwNvm9mAFsojIiKtwGUnDqRbp3R+/7K2DiSDeHYTdAOWmdnLZvZMdEh0MBERCU9WhzSunTCYV98uZUlwpUJpv+K56NB3E55CRERancvHDeTPr73Hna+8y72X13vhOmknDrplwN1fA94GcoAuwNvBNBERacc6Z6Zz9ckFvLh8M8uDyxVL+xTPFQivBeYCFwAXAnPM7OpEBxMRkfBdNb6A7A5p3KljB9q1eI4Z+Dow2t2vdPcrgOOJnG4oIiLtXE6ndK6dUMALyzbpYMJ2LJ5jBrYBsZ0S7QqmiYhIErj5tCG8v20vv3rxHVJSjBsnHRl2JGlm8RQDq4A3zexpIpchngosNrNbANz91wnMJyIiIUtNMe749Chq3Llj2tukpRifP/WIsGNJM4qnGHgvGKKeDm47N38cERFpjVJTjF9+ehTVDj99fiWpKca1EwaHHUuayUGLAXf/QUsEERGR1i0tNYXfXDSKmhrnx8+uwMy45uSCsGNJM4hny4CIiAgQKQh+e/Fx1Ljzo/8uJy3FuGL8oLBjSRPFczZBszOzT5vZMjOrMbPCOvNuM7NVZva2mU2OmT4lmLbKzG6NmV5gZm8G0x8zs4yWfC0iIskmPTWFOy8ZzSdG9OJ7zyzj4Tlrw44kTRRKMQAsJXLdgtdjJ5rZCOBi4GhgCnC3maUGHSbdBZwJjAAuCZYF+DnwG3c/EigDrmmZlyAikrzSU1P4w6VjOOOoXnz330t55M33w44kTXDQ3QRmlgdcBwyKXd7dD/vCQ+6+InjuurOmAo+6ewVQbGargLHBvFXuvjp43KPAVDNbAZwGXBos8xDwfeCPh5tNRETik5GWwl2fHc0Nf5vPt55aQorBxWPVr11bFM8xA08DM4CXgOrExiEfmBMzvj6YBrCuzvQTgB7ADnevqmf5jzCz64HrAQYM0AdWRKSpOqSl8sfLxvD5h+dx21NLSEkxLirsH3YsOUTxFAOd3P2QrzhoZi8BveuZ9W13f7qe6Qnn7vcA9wAUFhZ6GBlERNqbDmmp/Omy47n+4Xl881+L+aB8P9ecXFDf1l9ppeIpBv5rZme5+3OH8sTufsZh5NkAxJaU/YJpNDB9G9DVzNKCrQOxy4uISAvJTE/lns8dz5cfXcCPn13BgnU7+PmnjiW7g05aawviOYDwy0QKgn1mtisYEtV91TPAxWbWwcwKgCFEOkl6CxgSnDmQQeQgw2fc3YFXiXSgBHAFH14USUREWlBmemQLwa1nDuf5JSWcd9csVm3ZdfAHSuji6cK4s7unuHtmcL+zu3dpykrN7HwzWw+MA541s2nBupYBjwPLgReAG929Oviv/yZgGrACeDxYFiKdJt0SHGzYA7ivKdlEROTwmRlfOPUI/nbNCZTtqWTqH2bx3JKSsGPJQVjkn+uDLGR2LnBKMDrd3f+b0FQtoLCw0IuKisKOISLSbpXsLOeLf5/Pgvd3cO3JBXzzzOGkp4Z1RruY2Tx3L6xv3kHfFTP7GZFdBcuD4ctm9tPmjSgiIu1Nn5yOPHb9OK4YN5C/zCzms/e+yZYP9oUdS+px0C0DZrYYOM7da4LxVGCBux/bAvkSRlsGRERazr8XbOC2J5eQnZnGXZeOYWxB97AjJZ0mbRkIdI25n9PkRCIiklTOG53PUzeOJysjlUvuncN9M4uJZze1tIx4ioGfAgvM7EEzewiYB9ye2FgiItLeDO/dhWduPpnThvfkR/9dzreeWsr+6pqwYwnxnU3wD+BE4EngX8A4d38s0cFERKT96ZKZzp8vO54vTjyCf8x9nysfmMvO8v1hx0p6ce0mcPcSd38mGDYlOpSIiLRfKSnGN6YM5xcXHsvc4u1ccPcs1m7bE3aspKZzPEREJBQXFfbn4WtOYOvuSs6/+w2K1mwPO1LSUjEgIiKhOXFwD5764nhyOqZz6b1v8u8FuqJ8GOK5zsDD8UwTERE5HIPzsnnqi+MZPaArX3lsIb9+8R2dadDC4tkycHTsSHCdgeMTE0dERJJR104ZPHzNCVx4fD/ufPldvvToQvbtrw47VtJosBgws9vMbBdwrJl9EAy7gC2oMyAREWlmGWkp3HHhsXxjyjD+s2gjl947h627K8KOlRQaLAbc/afu3hm4w927BENnd+/h7re1YEYREUkSZsYXJx7JHz87huUlH3DeXbN4Z7N6Pky0eHYTzDWz2qsOmllXMzsvcZFERCTZnTmyD49dP46Kqho+dfcbvPZOadiR2rV4ioHvufvO6Ii77wC+l7BEIiIiwKj+XXn6xpPI79aRqx98i4fnrA07UrsVTzFQ3zJpzR1ERESkrr5dO/LEDeM5dWge3/33Un7wn2VU1+hMg+YWTzFQZGa/NrMjguHXRPonEBERSbjsDmnce3khV59UwAOz1nDdX4vYXVEVdqx2JZ5i4GagEngMeBTYB9yYyFAiIiKxUlOM/3fOCH503jG89k4pF/7xDTbuKA87Vrth8V7Ywcyy3L3dXDy6sLDQi4qKwo4hIiKH6LV3Srnp7/PJzEjlH9edyJE9s8OO1CaY2Tx3L6xvXjxXIBxvZsuBFcH4KDO7u5kzioiIxOXUoXn864vjqalxbnpkvi5O1Azi2U3wG2AysA3A3RcBpyQylIiISGOG9urMry4axcpNu7j92RVhx2nz4u3CeF2dSSrDREQkVBOH9eS6CQU8PGctLyzdFHacNi2eYmCdmY0H3MzSzexrBLsMREREwvT1ycM5tl8O3/zXYjbogMLDFk8x8AUiZw/kAxuA49DZBCIi0gpkpKVw58Wjqaqu4SuPLqCquibsSG1SYx0V/Ty4O8ndP+vuvdy9p7tf5u7bWiifiIhIowblZnH7+SN5a00Zd76yKuw4bVJjWwbOMjMD1CmRiIi0aueNzudTY/rxh1feZc5q/b96qBorBl4AyviwC+NdsbctlE9ERCQuP5x6NIN6ZPGVRxdStqcy7DhtSmPFwHfcvSvwbEz3xbW3LZRPREQkLlkd0rjzktFs31PJ159YRLwX1ZPGi4HZwa22AoiISJtwTH4Ot545nJdWbOGhN9aEHafNaKz3wQwzuxQYb2YX1J3p7k8mLpaIiMjhueqkQcxatZWfPLeSjxV05+i+OWFHavUa2zLwBWAC0BU4p85wdsKTiYiIHAYz445Pj6JbVjo3/2MBeyvVw+HBNLhlwN1nAjPNrMjd72vBTCIiIk3SPSuD33zmOD77lzf53tPLuOPTo8KO1Ko1dp2BbwC4+31m9uk6836S6GAiIiJNMf6IXG6adCT/nLeepxduCDtOq9bYboKLY+7XvdbAlARkERERaVZfPn0IhQO78e2nlrJ2256w47RajRUD1sD9+sZFRERanbTUFH578XGkGHzpHwuorNLliuvTWDHgDdyvb1xERKRV6tetE7+48FgWrd/Jr/73dthxWqXGioFR0SsO8uFVCKPjI5uyUjP7tJktM7MaMyuMmT7IzMrNbGEw/Clm3vFmtsTMVpnZncGlkjGz7mb2opm9G9x2a0o2ERFpf6Yc04fPnjCAP7++mtfeKQ07TqvTYDHg7qkxVxxMC+5Hx9ObuN6lwAXA6/XMe8/djwuGL8RM/yNwHTAkGKLHLdwKvOzuQ4CXg3EREZEDfPfsEQzr1Zn/e3whW3btCztOqxJPF8bNzt1XuHvc22rMrA/Qxd3neOT6kn8FzgtmTwUeCu4/FDNdRESkVmZ6Kr+/dDS7K6r4v8cXUVOjPd5RoRQDB1FgZgvM7DUzmxBMywfWxyyzPpgG0MvdS4L7m4BeDT2xmV1vZkVmVlRaqs1EIiLJZmivzvy/s49mxrtbuWfG6rDjtBoJKwbM7CUzW1rPMLWRh5UAA9x9NHAL8IiZxd0pUrDVoMFSz93vcfdCdy/My8uL+7WIiEj7ccnY/nxyZB9+Oe1tFrxfFnacVqGxvgmaxN3POIzHVAAVwf15ZvYeMBTYAPSLWbRfMA1gs5n1cfeSYHfClqYlFxGR9szM+MkFI1m4bgc3/n0+3/rkUUw5ujdpqa1xY3nLaFWv3MzyzCw1uD+YyIGCq4PdAB+Y2YnBWQSXA08HD3sGuCK4f0XMdBERkXrldEznj5eNIT0thZseWcApv3iVP7/2Hjv37g87WigsjP6ezex84PdAHrADWOjuk83sU8APgf1ADfA9d/9P8JhC4EGgI/A8cLO7u5n1AB4HBgBrgYvcffvBMhQWFnpRUVFzvzQREWlDqmucV1Zu4f6ZxcxevY1OGalceHw/rhw/iMF52WHHa1ZmNs/dC+udF0Yx0BqoGBARkVjLN37A/bOKeWbhRiqrazhteE+uObmA8Uf0ILi0TZumYqAeKgZERKQ+pbsq+Puba/nbnLVs3V3JsF6dufrkQUw9Lp/M9NSw4x02FQP1UDEgIiKN2be/mv8s2sh9M4tZuWkXPbIy+OwJA7hs3EB6ds4MO94hUzFQDxUDIiISD3dn9upt3D+zmJdXbiEtxThnVF+uPqmAY/Jzwo4Xt8aKgYSdWigiItIemBnjj8hl/BG5FG/dw0NvrOHxonU8OX8DYwu6c83JBZxxVC9SU9rucQXaMiAiInKIdpbv5/G31vHgG2vYsKOcAd07ceX4QXy6sB+dM5vafU9iaDdBPVQMiIhIU1VV1/C/5Zu5f2YxRWvLyO6QxkWF/bnqpEH0794p7HgHUDFQDxUDIiLSnBat28H9s4p5dnEJNe58fEQvrjl5MB8b1K1VnJqoYqAeKgZERCQRNu3cx19nr+GRue+zY+9+jsnvwtUnFXD2sX3JSAvvwr8qBuqhYkBERBKpvLKapxZs4P5Zxazaspu8zh24/MSBXHrCAHpkd2jxPCoG6qFiQEREWkJNjTNj1Vbum1nM6++U0iEthfNH53PVSQUM6925xXLo1EIREZGQpKQYpw7N49Sheby7eRcPvLGGJ+ev59G31jFhSC5Xn1TAqUPzSAnx1ERtGRAREWlhZXsqeWTu+/x19ho2f1DB4LwsrjqpgE+NyadTRmL+T9dugnqoGBARkbDtr67huSUl3DezmMXrd5LTMZ1Lxg7g8nED6du1Y7OuS8VAPVQMiIhIa+HuzFtbxv2zinlh6SbMjMtOGMAPph7TbOvQMQMiIiKtmJlROKg7hYO6s75sLw+9saZFO0NSMSAiItKK9OvWiW9/ckSLrlPFQAg2btxI37596x2fP38+AGPGjDlgPtDgY+o+d3TZhpaJJ1NDpk2bRl5e3kEzNpR506ZNlJaWApCXl/eR54guP23aNEaOHMn06dO59NJLa6dNnjy5dvloW0Wfb/LkyQesd/78+axcuZKJEyeyZMkSJk+ezPz58+nduzebNm2id+/eByw3fPjwA6bVzRldDmDixIkA/O53v+O0005j5MiRLFmyhFWrVnHkkUcycuRIAB544AEKCgqYOHFi7WvPy8ujtLSUkSNH1r5PS5YsqX1dse0ybdq02mmzZ88GYMeOHVx11VUAtescN25c7WNiX2N0fbHP9/TTT/Od73yHTZs28fzzz9fmmz59OsOHDwegd+/eAEyfPp1Fixbxmc98pvY5x4wZw8aNG2uXj7bZtGnTarPEPr5Hjx4Ate8nULueaLuWlpZSVFTEVVddVbuORx555CO5Zs+eXdu+DzzwAGeeeWbt80Q/X9Hlom1y1113cf7557NkyRLy8vI+8r6XlZXVLvvII48ckA/g+eef58wzz6x9TbHtGl33XXfdxbhx45g9ezbnn3/+Rz7nsct169at9vMTbY8ePXrUfrajn4e8vDxWrlxZO2/jxo387ne/4zOf+Uxtu9X3Ps+fP7+2PaKfr+jfRPR+9HXEtkX0flS0/WPbLfZvK7ru6Ocl+r5F1x81bdo0tm3bxqWXXlr72mL/jqPq+/uPfq6if0+x3y/1fV/Frjv6/RBVt00a+v5s7Dus7nrqe576vgvrWybajrFtFSYVAyEoKSk54MMRO758+XLgwB/akpISgAYfU/e5o8s2tEw8mRoyd+5cCgoKDpqxocwrVqyguLgYgIKCgo88R3T5uXPnkpuby4wZM2qLgblz5x7wJRJtq+jzTZ48+YD1Ll++nFmzZjFs2LDaxy5fvhx3Z8WKFbj7AcvV1NQcMK1uzuhyAMOGDQPglVdeITs7m9zcXObOncuiRYvYvn07ubm5tfOHDh3KsGHDal97QUEBxcXF5Obm1r5Pc+fOrX1dse0SnV5QUMCrr74KQFlZGVOmTKmdv2jRInJycmofE/sao+uLfb7p06dzzTXXsGLFigPyzZgxg5qaGiCy/xJgxowZFBUVMXLkyNrnHDNmDCUlJbXLR9ssNkvs46PvafT9BGrXE23X4uJipk+fzpQpU2rXMWPGjI/kevXVV2vb95VXXmHgwIG1zxP9fEWXi7bJq6++yoknnlj72a37vpeWltYuWzdf9D0cOHBg7WuKbdfouqPri66r7uc8drm8vLzaz090fX379q39bEc/DwUFBcyaNat2XklJCa+88gojR46sbbf63ufly5fXtkf08xVdR/R+9HXEtkX0flS0/WPbLfZvK7ru6Ocl+r5F1x81d+5cNm7cyKWXXlr72uorBur7+49+rqJ/T7HfL/V9X8WuO/r9EFW3TRr6/mzsO6zueup7nvq+C+tbJtqOraUYCO+6iCIiItIqqBgQERFJcioGREREkpyKARERkSSnAwhD0KdPnwbHR4z46OkkdZdvaFrd6Q0tE0+mhowdO7b26OjGHt9QZjOrfXzd54l9zNixY+nTpw8TJkw4YFqsaFvFPk/dtkxJSaFPnz61jx0xYgS9e/fGzGqPjo4uFz0yPjqtbs7ocrHrOe2002qzjh07lu7du3PkkUceML+goOCA1x4dosvE5qv7eqLT8/Ly2LlzJxA5myD62Og6Yz83sa8xuq7Y5yspKanNE5tvwoQJHzmbYMKECXTp0uWA54xmji4fXTY2S+zjo2cTxL6fsUfrR9s6+l5F1zFhwoSP5Nq5c2dt+5522mkHvO7Yx+7cubN23qRJk2rbOPao+Oj7WVZWVrtsffmi64k+rr52nTRpEiNGjGDnzp2Nfs4nTZpEt27dat+/6PqibRR9HdGsKSkpB7Rf7Gtu6H2Ozo/9fMU+d1Tdv4Ho/aho+9dtt7rrBg64X/c7bOzYsWzbtu2A11af+v7+696vb9lYdf8OGlpHU78/67ZxY9kaW6a+jGHRFQhFRESSgC5HXA8zKwXWNuNT5gJbm/H5kpHasOnUhs1D7dh0asOma+42HOjuH920SxIXA83NzIoaqrgkPmrDplMbNg+1Y9OpDZuuJdtQBxCKiIgkORUDIiIiSU7FQPO5J+wA7YDasOnUhs1D7dh0asOma7E21DEDIiIiSU5bBkRERJKcigEREZEkp2LgEJnZFDN728xWmdmt9czvYGaPBfPfNLNBIcRs1eJow1vMbLmZLTazl81sYBg5W7ODtWHMcp8yMzczneJVRzxtaGYXBZ/FZWb2SEtnbAvi+HseYGavmtmC4G/6rDBytlZmdr+ZbTGzpQ3MNzO7M2jfxWaWmD6P3V1DnAOQCrwHDAYygEXAiDrLfBH4U3D/YuCxsHO3piHONpwEdAru36A2PPQ2DJbrDLwOzAEKw87dmoY4P4dDgAVAt2C8Z9i5W9sQZzveA9wQ3B8BrAk7d2sagFOAMcDSBuafBTwPGHAi8GYicmjLwKEZC6xy99XuXgk8Ckyts8xU4KHg/hPA6Ra9aLdAHG3o7q+6+95gdA7Qr4UztnbxfA4BfgT8HNjXkuHaiHja8DrgLncvA3D3LS2csS2Ipx0d6BLczwE2tmC+Vs/dXwe2N7LIVOCvHjEH6Gpm8Xc8EycVA4cmH1gXM74+mFbvMu5eBewEeiBR8bRhrGuIVMXyoYO2YbApsb+7P9uSwdqQeD6HQ4GhZjbLzOaY2ZQWS9d2xNOO3wcuM7P1wHPAzS0Trd041O/Mw6JeC6XVMrPLgELg1LCztCVmlgL8Grgy5ChtXRqRXQUTiWydet3MRrr7jjBDtUGXAA+6+6/MbBzwsJkd4+41YQeTD2nLwKHZAPSPGe8XTKt3GTNLI7JZbFuLpGsb4mlDzOwM4NvAue5e0ULZ2oqDtWFn4BhgupmtIbKf8RkdRHiAeD6H64Fn3H2/uxcD7xApDuRD8bTjNcDjAO4+G8gk0gGPxCeu78ymUjFwaN4ChphZgZllEDlA8Jk6yzwDXBHcvxB4xYOjQASIow3NbDTwZyKFgPbTflSjbejuO909190HufsgIsddnOvu6rP7Q/H8Lf+byFYBzCyXyG6D1S2YsS2Ipx3fB04HMLOjiBQDpS2asm17Brg8OKvgRGCnu5c090q0m+AQuHuVmd0ETCNyFO397r7MzH4IFLn7M8B9RDaDrSJyUMjF4SVufeJswzuAbOCfwbGX77v7uaGFbmXibENpRJxtOA34hJktB6qBr7u7tvLFiLMd/w+418y+SuRgwiv1D9KHzOwfRIrO3OC4iu8B6QDu/icix1mcBawC9gJXJSSH3hMREZHkpt0EIiIiSU7FgIiISJJTMSAiIpLkVAyIiIgkORUDIiIiSU7FgIg0CzMb1FDPayLSuqkYEBERSXIqBkSkOaWa2b1mtszM/mdmHc1sevRSyGaWG1wiGTO70sz+bWYvmtkaM7vJzG4J+r2fY2bdQ30lIklExYCINKchRLr9PRrYAXzqIMsfA1wAfAy4Hdjr7qOB2cDlCcwpIjFUDIhIcyp294XB/XnAoIMs/6q773L3UiLdff8nmL4kjseKSDNRMSAizSm2h8lqIv2fVPHhd01mI8vXxIzXoL5TRFqMigERSbQ1wPHB/QtDzCEiDVAxICKJ9kvgBjNbgPqxF2mV1GuhiIhIktOWARERkSSnYkBERCTJqRgQERFJcioGREREkpyKARERkSSnYkBERCTJqRgQERFJcv8fHAfIstWrlqcAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# fig, [ax1, ax2, ax3] = plt.subplots(nrows=1,ncols=3,figsize=(12,6))\n", + "\n", + "ale_temp = ale(\n", + " X=cleaned_bike_data, \n", + " model=rf, \n", + " feature=['temp'], \n", + " grid_size=50, \n", + " include_CI=False,\n", + " # ax=ax1\n", + ")\n", + "\n", + "ale_hum = ale(\n", + " X=X_train, \n", + " model=rf, \n", + " feature=['hum'], \n", + " grid_size=50, \n", + " include_CI=False,\n", + " # ax=ax2\n", + ")\n", + "\n", + "ale_ws = ale(\n", + " X=X_train, \n", + " model=rf, \n", + " feature=['windspeed'], \n", + " grid_size=50, \n", + " include_CI=False,\n", + " # ax=ax3\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "PyALE._ALE_generic:INFO: Discrete feature detected.\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ale_eff = ale(\n", + " X=X_train, \n", + " model=rf, \n", + " feature=['my_season'], \n", + " grid_size=50, \n", + " include_CI=False,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['temp', 'hum', 'windspeed', 'days_since_2011', 'season_SPRING',\n", + " 'season_SUMMER', 'season_WINTER', 'holiday_NO HOLIDAY',\n", + " 'workingday_WORKING DAY', 'weathersit_MISTY',\n", + " 'weathersit_RAIN/SNOW/STORM'],\n", + " dtype='object')" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ale_eff = ale(\n", + " X=X_train, \n", + " model=rf, \n", + " feature=[''], \n", + " grid_size=50, \n", + " include_CI=False,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.5 64-bit", + "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": "3.10.6" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Python/bike-sharing/preprocess_bike_data.py b/Python/bike-sharing/preprocess_bike_data.py new file mode 100644 index 000000000..15c07ab6b --- /dev/null +++ b/Python/bike-sharing/preprocess_bike_data.py @@ -0,0 +1,70 @@ +# Imports +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt + +# Setting up the path +DIR = "../../data/" +DATA = "bike-sharing-daily.csv" + +# Label Lists +weekdays = ['SUN', 'MON', 'TUE', 'WED', 'THU', 'FRI', 'SAT'] +holidays = ['NO HOLIDAY', 'HOLIDAY'] +working_day = ['NO WORKING DAY', 'WORKING DAY'] +season = ['WINTER', 'SPRING', 'SUMMER', 'FALL'] +weathersit = ['GOOD', 'MISTY', 'RAIN/SNOW/STORM'] +months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC'] + +# Function to create a dictionary mapping index of list to the respective label +def create_dictionary(label_list, start_at_zero=True): + d = {} + if start_at_zero: + for idx, val in enumerate(label_list): + d[idx] = val + else: + for idx, val in enumerate(label_list): + d[idx+1] = val + return d + +# Function that denormalizes temperture +def inverse_min_max(row, tmin, tmax): + return row * (tmax - tmin) + tmin + +def data_pipeline(): + + # Reading in the data + day_bike_rentals = pd.read_csv(DIR+DATA) + + # Mapping numerical codes with actual values + day_bike_rentals['weekday'] = day_bike_rentals['weekday'].map(create_dictionary(weekdays)) + day_bike_rentals['holiday'] = day_bike_rentals['holiday'].map(create_dictionary(holidays)) + day_bike_rentals['workingday'] = day_bike_rentals['workingday'].map(create_dictionary(working_day)) + day_bike_rentals['season'] = day_bike_rentals['season'].map(create_dictionary(season, start_at_zero=False)) + day_bike_rentals['weathersit'] = day_bike_rentals['weathersit'].map(create_dictionary(weathersit, start_at_zero=False)) + day_bike_rentals['mnth'] = day_bike_rentals['mnth'].map(create_dictionary(months, start_at_zero=False)) + + # Reversing min_max + day_bike_rentals['temp'] = day_bike_rentals['temp'].apply(inverse_min_max, args=(-8, 39)) + day_bike_rentals['atemp'] = day_bike_rentals['atemp'].apply(inverse_min_max, args=(-16, 50)) + + # Unnormalizing the data + day_bike_rentals['windspeed'] = day_bike_rentals['windspeed'].apply(lambda row: row * 67) + day_bike_rentals['hum'] = day_bike_rentals['hum'].apply(lambda row: row * 100) + + # Converting labels into actual year + day_bike_rentals['yr'] = day_bike_rentals['yr'].apply(lambda row: 2011 if row == 0 else 2012) + + # Converting 'dteday' to datetime object + day_bike_rentals['dteday'] = pd.to_datetime(day_bike_rentals['dteday']) + + # Calculating days since 2011 + day_bike_rentals['days_since_2011'] = (day_bike_rentals['dteday'] - day_bike_rentals['dteday'].min()).dt.days + + # Feature selecting + day_bike_rentals = day_bike_rentals[[col for col in day_bike_rentals.columns if col not in ['instant', 'dteday', 'registered', 'casual', 'atemp']]] + + # Dummifying categorical features + day_bike_rentals = pd.concat([day_bike_rentals, pd.get_dummies(day_bike_rentals[['season', 'holiday','workingday', 'weathersit']], drop_first=True)], axis=1) + + # Returning the cleaned data + return day_bike_rentals \ No newline at end of file diff --git a/Python/cervical-cancer/cervical_cancer_data.ipynb b/Python/cervical-cancer/cervical_cancer_data.ipynb new file mode 100644 index 000000000..2f4166be7 --- /dev/null +++ b/Python/cervical-cancer/cervical_cancer_data.ipynb @@ -0,0 +1,733 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "import pandas as pd\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from sklearn.inspection import PartialDependenceDisplay\n", + "from sklearn.ensemble import RandomForestClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AgeNumber.of.sexual.partnersFirst.sexual.intercourseNum.of.pregnanciesSmokesSmokes..years.Hormonal.ContraceptivesHormonal.Contraceptives..years.IUDIUD..years.STDsSTDs..number.STDs..Number.of.diagnosisSTDs..Time.since.first.diagnosisSTDs..Time.since.last.diagnosisBiopsy
018415100.000.000.000011Healthy
115114100.000.000.000011Healthy
234115100.000.000.000011Healthy
3525164137.013.000.000011Healthy
446321400.0115.000.000011Healthy
\n", + "
" + ], + "text/plain": [ + " Age Number.of.sexual.partners First.sexual.intercourse \\\n", + "0 18 4 15 \n", + "1 15 1 14 \n", + "2 34 1 15 \n", + "3 52 5 16 \n", + "4 46 3 21 \n", + "\n", + " Num.of.pregnancies Smokes Smokes..years. Hormonal.Contraceptives \\\n", + "0 1 0 0.0 0 \n", + "1 1 0 0.0 0 \n", + "2 1 0 0.0 0 \n", + "3 4 1 37.0 1 \n", + "4 4 0 0.0 1 \n", + "\n", + " Hormonal.Contraceptives..years. IUD IUD..years. STDs STDs..number. \\\n", + "0 0.0 0 0.0 0 0 \n", + "1 0.0 0 0.0 0 0 \n", + "2 0.0 0 0.0 0 0 \n", + "3 3.0 0 0.0 0 0 \n", + "4 15.0 0 0.0 0 0 \n", + "\n", + " STDs..Number.of.diagnosis STDs..Time.since.first.diagnosis \\\n", + "0 0 1 \n", + "1 0 1 \n", + "2 0 1 \n", + "3 0 1 \n", + "4 0 1 \n", + "\n", + " STDs..Time.since.last.diagnosis Biopsy \n", + "0 1 Healthy \n", + "1 1 Healthy \n", + "2 1 Healthy \n", + "3 1 Healthy \n", + "4 1 Healthy " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Reading in the data\n", + "\n", + "DIR = \"../data/\"\n", + "DATA = \"cervical.csv\"\n", + "cervical = pd.read_csv(DIR+DATA)\n", + "cervical.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Converting the \"Biopsy\" to binary\n", + "\n", + "cervical['Biopsy'] = cervical['Biopsy'].apply(lambda row: 1 if row=='Cancer' else 0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cervical.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AgeNumber.of.sexual.partnersFirst.sexual.intercourseNum.of.pregnanciesSmokesSmokes..years.Hormonal.ContraceptivesHormonal.Contraceptives..years.IUDIUD..years.STDsSTDs..number.STDs..Number.of.diagnosisSTDs..Time.since.first.diagnosisSTDs..Time.since.last.diagnosis
count858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000858.000000
mean26.8205132.51165516.9790212.1923080.1433571.2012410.6864801.9723940.0967370.4446040.0920750.1550120.0874131.4254081.398601
std8.4979481.6447592.7976531.4343950.3506414.0606230.4641943.5978880.2957711.8142180.2893000.5296170.3025452.2015502.113931
min13.0000001.00000010.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000001.000000
25%20.0000002.00000015.0000001.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000001.000000
50%25.0000002.00000017.0000002.0000000.0000000.0000001.0000000.2500000.0000000.0000000.0000000.0000000.0000001.0000001.000000
75%32.0000003.00000018.0000003.0000000.0000000.0000001.0000002.0000000.0000000.0000000.0000000.0000000.0000001.0000001.000000
max84.00000028.00000032.00000011.0000001.00000037.0000001.00000030.0000001.00000019.0000001.0000004.0000003.00000022.00000022.000000
\n", + "
" + ], + "text/plain": [ + " Age Number.of.sexual.partners First.sexual.intercourse \\\n", + "count 858.000000 858.000000 858.000000 \n", + "mean 26.820513 2.511655 16.979021 \n", + "std 8.497948 1.644759 2.797653 \n", + "min 13.000000 1.000000 10.000000 \n", + "25% 20.000000 2.000000 15.000000 \n", + "50% 25.000000 2.000000 17.000000 \n", + "75% 32.000000 3.000000 18.000000 \n", + "max 84.000000 28.000000 32.000000 \n", + "\n", + " Num.of.pregnancies Smokes Smokes..years. \\\n", + "count 858.000000 858.000000 858.000000 \n", + "mean 2.192308 0.143357 1.201241 \n", + "std 1.434395 0.350641 4.060623 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 1.000000 0.000000 0.000000 \n", + "50% 2.000000 0.000000 0.000000 \n", + "75% 3.000000 0.000000 0.000000 \n", + "max 11.000000 1.000000 37.000000 \n", + "\n", + " Hormonal.Contraceptives Hormonal.Contraceptives..years. IUD \\\n", + "count 858.000000 858.000000 858.000000 \n", + "mean 0.686480 1.972394 0.096737 \n", + "std 0.464194 3.597888 0.295771 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000 0.000000 \n", + "50% 1.000000 0.250000 0.000000 \n", + "75% 1.000000 2.000000 0.000000 \n", + "max 1.000000 30.000000 1.000000 \n", + "\n", + " IUD..years. STDs STDs..number. STDs..Number.of.diagnosis \\\n", + "count 858.000000 858.000000 858.000000 858.000000 \n", + "mean 0.444604 0.092075 0.155012 0.087413 \n", + "std 1.814218 0.289300 0.529617 0.302545 \n", + "min 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000 0.000000 0.000000 \n", + "50% 0.000000 0.000000 0.000000 0.000000 \n", + "75% 0.000000 0.000000 0.000000 0.000000 \n", + "max 19.000000 1.000000 4.000000 3.000000 \n", + "\n", + " STDs..Time.since.first.diagnosis STDs..Time.since.last.diagnosis \n", + "count 858.000000 858.000000 \n", + "mean 1.425408 1.398601 \n", + "std 2.201550 2.113931 \n", + "min 1.000000 1.000000 \n", + "25% 1.000000 1.000000 \n", + "50% 1.000000 1.000000 \n", + "75% 1.000000 1.000000 \n", + "max 22.000000 22.000000 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cervical.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# Organizing features and label\n", + "\n", + "features = [col for col in cervical.columns if col != 'Biopsy']\n", + "X = cervical[features]\n", + "y = cervical['Biopsy']" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestClassifier()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestClassifier()" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Running a random forest\n", + "\n", + "rf = RandomForestClassifier()\n", + "rf.fit(X,y)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting a Partial Dependence Plot\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 20))\n", + "PartialDependenceDisplay.from_estimator(\n", + " estimator=rf,\n", + " X=X,\n", + " features=features,\n", + " target=y,\n", + " ax=ax\n", + ")\n", + "ax.set_title(\"Partial Dependence Plot\")\n", + "plt.tight_layout();" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "data = cervical[['Age', 'Num.of.pregnancies']]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AgeNum.of.pregnancies
0181
1151
2341
3524
4464
.........
853340
854321
855250
856332
857291
\n", + "

858 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " Age Num.of.pregnancies\n", + "0 18 1\n", + "1 15 1\n", + "2 34 1\n", + "3 52 4\n", + "4 46 4\n", + ".. ... ...\n", + "853 34 0\n", + "854 32 1\n", + "855 25 0\n", + "856 33 2\n", + "857 29 1\n", + "\n", + "[858 rows x 2 columns]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "# fig, ax = plt.subplots(figsize=(8,6))\n", + "\n", + "# plt.subplot(1,1,1)\n", + "# plt.pcolormesh(data, cmap = 'rainbow')\n", + "# plt.title('HeatMap Using pcolormesh function')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.6 64-bit", + "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": "3.10.6" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 7a2fd2378fc6fac7e3b4b66cebac32c6766fc941 Mon Sep 17 00:00:00 2001 From: Taraqur Date: Mon, 28 Nov 2022 15:55:00 -0500 Subject: [PATCH 3/5] adding effect plots --- .../Chapter5-interpretable_models.ipynb | 512 ++++++++++++------ 1 file changed, 343 insertions(+), 169 deletions(-) diff --git a/Python/bike-sharing/Chapter5-interpretable_models.ipynb b/Python/bike-sharing/Chapter5-interpretable_models.ipynb index be905f566..1639c356d 100644 --- a/Python/bike-sharing/Chapter5-interpretable_models.ipynb +++ b/Python/bike-sharing/Chapter5-interpretable_models.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -221,7 +221,7 @@ "4 0 0 " ] }, - "execution_count": 2, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -240,156 +240,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 41, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
08.17584980.583310.74988298500011010
19.08346669.608716.65211380110011010
21.22910843.727316.636703134920011100
31.40000059.043510.739832156230011100
42.66697943.695712.522300160040011100
\n", - "
" - ], - "text/plain": [ - " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", - "0 8.175849 80.5833 10.749882 985 0 0 \n", - "1 9.083466 69.6087 16.652113 801 1 0 \n", - "2 1.229108 43.7273 16.636703 1349 2 0 \n", - "3 1.400000 59.0435 10.739832 1562 3 0 \n", - "4 2.666979 43.6957 12.522300 1600 4 0 \n", - "\n", - " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", - "0 0 1 1 0 \n", - "1 0 1 1 0 \n", - "2 0 1 1 1 \n", - "3 0 1 1 1 \n", - "4 0 1 1 1 \n", - "\n", - " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", - "0 1 0 \n", - "1 1 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", - "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)\n", - "df.head()" + "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)" ] }, { @@ -408,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -425,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -445,7 +301,7 @@ "dtype: float64" ] }, - "execution_count": 6, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -460,7 +316,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -478,10 +334,10 @@ " Method: Least Squares F-statistic: 1851. \n", "\n", "\n", - " Date: Sun, 27 Nov 2022 Prob (F-statistic): 0.00 \n", + " Date: Mon, 28 Nov 2022 Prob (F-statistic): 0.00 \n", "\n", "\n", - " Time: 23:02:09 Log-Likelihood: -6014.8 \n", + " Time: 15:43:39 Log-Likelihood: -6014.8 \n", "\n", "\n", " No. Observations: 731 AIC: 1.205e+04\n", @@ -557,8 +413,8 @@ "Dep. Variable: cnt R-squared (uncentered): 0.966\n", "Model: OLS Adj. R-squared (uncentered): 0.965\n", "Method: Least Squares F-statistic: 1851.\n", - "Date: Sun, 27 Nov 2022 Prob (F-statistic): 0.00\n", - "Time: 23:02:09 Log-Likelihood: -6014.8\n", + "Date: Mon, 28 Nov 2022 Prob (F-statistic): 0.00\n", + "Time: 15:43:39 Log-Likelihood: -6014.8\n", "No. Observations: 731 AIC: 1.205e+04\n", "Df Residuals: 720 BIC: 1.210e+04\n", "Df Model: 11 \n", @@ -592,7 +448,7 @@ "\"\"\"" ] }, - "execution_count": 7, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -605,23 +461,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Weight Plot for Coefficients" + "## Weight Plot" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "# Extracting and storing the coefficients and standard errors in a dictionary\n", "coef = results.params.to_dict()\n", - "std_error = results.bse.to_dict()" + "std_error = results.bse.to_dict()\n", + "conf_intervals = results.conf_int(alpha=0.5).to_dict()" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -632,17 +489,19 @@ "\n", "t = pd.DataFrame(coef).T\n", "t['std_error'] = t.index.map(std_error)\n", - "t.columns = ['coefficients', 'std_error']" + "t.columns = ['coefficients', 'std_error']\n", + "t['lower'] = t.index.map(conf_intervals[0])\n", + "t['upper'] = t.index.map(conf_intervals[1])" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -659,13 +518,328 @@ "plt.rcParams['figure.dpi'] = 200\n", "fig, ax = plt.subplots(figsize=(11,6))\n", "ax.scatter(t['coefficients'], t.index)\n", - "ax.errorbar(t['coefficients'], t.index, xerr=t['std_error'], fmt = '.')\n", + "ax.errorbar(t['coefficients'], t.index, xerr=2*t['std_error'], fmt = '.')\n", "ax.axvline(0, linestyle='-.', color='red')\n", - "plt.xlabel(\"Weights\")\n", - "plt.ylabel(\"Features\")\n", + "ax.set_title(\"Weight Plot\")\n", + "ax.set_xlabel(\"Weights\")\n", + "ax.set_ylabel(\"Features\")\n", "plt.grid('True')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Weight Plot shows that the feature, \"weathersit_RAIN/SNOW/STORM\", has a strong negative effect on the bike rentals. The features, \"season_WINTER\", \"season_SUMMER\", and \"workingday_WORKING DAY\" have coefficients where 0 falls within its 95% confidence interval. That says that the effect is not statistically significant." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Effect Plot\n", + "The weight plot shows how much *weight* a feature has on the prediction. BUT an effect plot helps understand how much a feature contributes to the predictions. This is done by multiplying the weight by its actual feature values. " + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "for col in [col for col in df.columns if col != 'cnt']:\n", + " df['effect_'+col] = df[col] * coef[col][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAY...effect_humeffect_windspeedeffect_days_since_2011effect_season_SPRINGeffect_season_SUMMEReffect_season_WINTEReffect_holiday_NO HOLIDAYeffect_workingday_WORKING DAYeffect_weathersit_MISTYeffect_weathersit_RAIN/SNOW/STORM
08.17584980.583310.749882985000110...-321.836179-245.6431080.0000000.0-0.0-166.5503811472.2148740.000000-552.965982-0.0
19.08346669.608716.652113801100110...-278.005468-380.5136455.2870750.0-0.0-166.5503811472.2148740.000000-552.965982-0.0
21.22910843.727316.6367031349200111...-174.639499-380.16151510.5741500.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
31.40000059.043510.7398321562300111...-235.809832-245.41345715.8612240.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
42.66697943.695712.5223001600400111...-174.513294-286.14422821.1482990.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
\n", + "

5 rows × 23 columns

\n", + "
" + ], + "text/plain": [ + " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", + "0 8.175849 80.5833 10.749882 985 0 0 \n", + "1 9.083466 69.6087 16.652113 801 1 0 \n", + "2 1.229108 43.7273 16.636703 1349 2 0 \n", + "3 1.400000 59.0435 10.739832 1562 3 0 \n", + "4 2.666979 43.6957 12.522300 1600 4 0 \n", + "\n", + " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", + "0 0 1 1 0 \n", + "1 0 1 1 0 \n", + "2 0 1 1 1 \n", + "3 0 1 1 1 \n", + "4 0 1 1 1 \n", + "\n", + " ... effect_hum effect_windspeed effect_days_since_2011 \\\n", + "0 ... -321.836179 -245.643108 0.000000 \n", + "1 ... -278.005468 -380.513645 5.287075 \n", + "2 ... -174.639499 -380.161515 10.574150 \n", + "3 ... -235.809832 -245.413457 15.861224 \n", + "4 ... -174.513294 -286.144228 21.148299 \n", + "\n", + " effect_season_SPRING effect_season_SUMMER effect_season_WINTER \\\n", + "0 0.0 -0.0 -166.550381 \n", + "1 0.0 -0.0 -166.550381 \n", + "2 0.0 -0.0 -166.550381 \n", + "3 0.0 -0.0 -166.550381 \n", + "4 0.0 -0.0 -166.550381 \n", + "\n", + " effect_holiday_NO HOLIDAY effect_workingday_WORKING DAY \\\n", + "0 1472.214874 0.000000 \n", + "1 1472.214874 0.000000 \n", + "2 1472.214874 129.406767 \n", + "3 1472.214874 129.406767 \n", + "4 1472.214874 129.406767 \n", + "\n", + " effect_weathersit_MISTY effect_weathersit_RAIN/SNOW/STORM \n", + "0 -552.965982 -0.0 \n", + "1 -552.965982 -0.0 \n", + "2 -0.000000 -0.0 \n", + "3 -0.000000 -0.0 \n", + "4 -0.000000 -0.0 \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['effect_temp',\n", + " 'effect_hum',\n", + " 'effect_windspeed',\n", + " 'effect_days_since_2011',\n", + " 'effect_season_SPRING',\n", + " 'effect_season_SUMMER',\n", + " 'effect_season_WINTER',\n", + " 'effect_holiday_NO HOLIDAY',\n", + " 'effect_workingday_WORKING DAY',\n", + " 'effect_weathersit_MISTY',\n", + " 'effect_weathersit_RAIN/SNOW/STORM']" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "effect_columns = [col for col in df.columns if \"effect_\" in col]\n", + "effect_columns" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ax.boxplot(df[effect_columns], vert=False)\n", + "ax.set_yticklabels(effect_columns)\n", + "ax.set_ylabel(\"Features\")\n", + "ax.set_xlabel(\"Effect\")\n", + "ax.set_title(\"Feature Effect on Predictions\");" + ] + }, { "cell_type": "code", "execution_count": null, From 4aa29479a5fc5f9dd28f9568a003c8ac5a45e387 Mon Sep 17 00:00:00 2001 From: Taraqur Date: Tue, 6 Dec 2022 11:05:20 -0500 Subject: [PATCH 4/5] added cervical cancer chap5 --- .../Chapter5-interpretable_models.ipynb | 552 +++++++++--------- .../Chapter5-interpretable_models.ipynb | 461 +++++++++++++++ ...ocess_cervical_cancer_data.cpython-310.pyc | Bin 0 -> 614 bytes .../cervical_cancer_data.ipynb | 8 +- .../preprocess_cervical_cancer_data.py | 15 + 5 files changed, 765 insertions(+), 271 deletions(-) create mode 100644 Python/cervical-cancer/Chapter5-interpretable_models.ipynb create mode 100644 Python/cervical-cancer/__pycache__/preprocess_cervical_cancer_data.cpython-310.pyc create mode 100644 Python/cervical-cancer/preprocess_cervical_cancer_data.py diff --git a/Python/bike-sharing/Chapter5-interpretable_models.ipynb b/Python/bike-sharing/Chapter5-interpretable_models.ipynb index 1639c356d..50fb4b2d6 100644 --- a/Python/bike-sharing/Chapter5-interpretable_models.ipynb +++ b/Python/bike-sharing/Chapter5-interpretable_models.ipynb @@ -31,211 +31,50 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "df = data_pipeline()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
seasonyrmnthholidayweekdayworkingdayweathersittemphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAYweathersit_MISTYweathersit_RAIN/SNOW/STORM
0WINTER2011JANNO HOLIDAYSATNO WORKING DAYMISTY8.17584980.583310.74988298500011010
1WINTER2011JANNO HOLIDAYSUNNO WORKING DAYMISTY9.08346669.608716.65211380110011010
2WINTER2011JANNO HOLIDAYMONWORKING DAYGOOD1.22910843.727316.636703134920011100
3WINTER2011JANNO HOLIDAYTUEWORKING DAYGOOD1.40000059.043510.739832156230011100
4WINTER2011JANNO HOLIDAYWEDWORKING DAYGOOD2.66697943.695712.522300160040011100
\n", - "
" - ], "text/plain": [ - " season yr mnth holiday weekday workingday weathersit temp \\\n", - "0 WINTER 2011 JAN NO HOLIDAY SAT NO WORKING DAY MISTY 8.175849 \n", - "1 WINTER 2011 JAN NO HOLIDAY SUN NO WORKING DAY MISTY 9.083466 \n", - "2 WINTER 2011 JAN NO HOLIDAY MON WORKING DAY GOOD 1.229108 \n", - "3 WINTER 2011 JAN NO HOLIDAY TUE WORKING DAY GOOD 1.400000 \n", - "4 WINTER 2011 JAN NO HOLIDAY WED WORKING DAY GOOD 2.666979 \n", - "\n", - " hum windspeed cnt days_since_2011 season_SPRING season_SUMMER \\\n", - "0 80.5833 10.749882 985 0 0 0 \n", - "1 69.6087 16.652113 801 1 0 0 \n", - "2 43.7273 16.636703 1349 2 0 0 \n", - "3 59.0435 10.739832 1562 3 0 0 \n", - "4 43.6957 12.522300 1600 4 0 0 \n", - "\n", - " season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", - "0 1 1 0 \n", - "1 1 1 0 \n", - "2 1 1 1 \n", - "3 1 1 1 \n", - "4 1 1 1 \n", - "\n", - " weathersit_MISTY weathersit_RAIN/SNOW/STORM \n", - "0 1 0 \n", - "1 1 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 " + "" ] }, - "execution_count": 40, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "df = data_pipeline()\n", - "df.head()" + "df['temp'].hist()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Dropping Some Columns" + "## Data Preprocessing" ] }, { @@ -244,10 +83,106 @@ "metadata": {}, "outputs": [], "source": [ + "# Dropping columns not used\n", + "\n", "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)" ] }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "# Scaling the data\n", + "\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "\n", + "for col in ['temp', 'hum', 'windspeed']:\n", + " sc = MinMaxScaler()\n", + " df[col] = sc.fit_transform(df[col].values.reshape(-1,1))" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df['temp'].hist()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "# Scaling the data\n", + "\n", + "from sklearn.preprocessing import StandardScaler\n", + "\n", + "for col in ['temp', 'hum', 'windspeed']:\n", + " sc = StandardScaler()\n", + " df[col] = sc.fit_transform(df[col].values.reshape(-1,1))" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df['temp'].hist()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -264,7 +199,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 81, "metadata": {}, "outputs": [], "source": [ @@ -281,27 +216,38 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 82, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "temp 116.665202\n", - "hum -3.993832\n", - "windspeed -22.850772\n", - "days_since_2011 5.287075\n", - "season_SPRING 587.996465\n", - "season_SUMMER -237.651230\n", - "season_WINTER -166.550381\n", - "holiday_NO HOLIDAY 1472.214874\n", - "workingday_WORKING DAY 129.406767\n", - "weathersit_MISTY -552.965982\n", - "weathersit_RAIN/SNOW/STORM -2278.483205\n", + "temp 13906.385697\n", + "hum -0.011202\n", + "windspeed -4637.831297\n", + "days_since_2011 0.170152\n", + "season_SPRING 0.001370\n", + "season_SUMMER -0.005088\n", + "season_WINTER -0.015343\n", + "holiday_NO HOLIDAY 0.000317\n", + "workingday_WORKING DAY 0.007459\n", + "weathersit_MISTY -0.001241\n", + "weathersit_RAIN/SNOW/STORM -0.000366\n", + "effect_temp -2.211217\n", + "effect_hum 4.350980\n", + "effect_windspeed -4.384535\n", + "effect_days_since_2011 0.899605\n", + "effect_season_SPRING 0.805641\n", + "effect_season_SUMMER 1.209261\n", + "effect_season_WINTER 2.555308\n", + "effect_holiday_NO HOLIDAY 0.466043\n", + "effect_workingday_WORKING DAY 0.965278\n", + "effect_weathersit_MISTY 0.686113\n", + "effect_weathersit_RAIN/SNOW/STORM 0.834564\n", "dtype: float64" ] }, - "execution_count": 43, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -316,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 90, "metadata": {}, "outputs": [ { @@ -325,130 +271,173 @@ "\n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "
OLS Regression Results
Dep. Variable: cnt R-squared (uncentered): 0.966Dep. Variable: cnt R-squared: 0.794
Model: OLS Adj. R-squared (uncentered): 0.965Model: OLS Adj. R-squared: 0.790
Method: Least Squares F-statistic: 1851.Method: Least Squares F-statistic: 251.2
Date: Mon, 28 Nov 2022 Prob (F-statistic): 0.00Date: Sun, 04 Dec 2022 Prob (F-statistic): 1.05e-237
Time: 15:43:39 Log-Likelihood: -6014.8Time: 11:10:01 Log-Likelihood: -5993.0
No. Observations: 731 AIC: 1.205e+04No. Observations: 731 AIC: 1.201e+04
Df Residuals: 720 BIC: 1.210e+04Df Residuals: 719 BIC: 1.207e+04
Df Model: 11 Df Model: 11
Covariance Type: nonrobust Covariance Type: nonrobust
\n", "\n", "\n", - " \n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", "\n", "
coef std err t P>|t| [0.025 0.975] coef std err t P>|t| [0.025 0.975]
temp 1.391e+04 2094.125 6.641 0.000 9795.056 1.8e+04
hum -0.0112 0.002 -5.483 0.000 -0.015 -0.007
windspeed -4637.8313 698.398 -6.641 0.000 -6008.975 -3266.688
days_since_2011 0.1702 0.006 28.507 0.000 0.158 0.182
temp 116.6652 7.192 16.222 0.000 102.545 130.785season_SPRING 0.0014 0.000 4.309 0.000 0.001 0.002
hum -3.9938 2.518 -1.586 0.113 -8.938 0.950season_SUMMER -0.0051 0.002 -2.141 0.033 -0.010 -0.000
windspeed -22.8508 6.407 -3.567 0.000 -35.429 -10.273season_WINTER -0.0153 0.004 -3.840 0.000 -0.023 -0.007
days_since_2011 5.2871 0.169 31.303 0.000 4.955 5.619holiday_NO HOLIDAY 0.0003 9.38e-05 3.375 0.001 0.000 0.001
season_SPRING 587.9965 111.794 5.260 0.000 368.515 807.478workingday_WORKING DAY 0.0075 0.004 1.705 0.089 -0.001 0.016
season_SUMMER -237.6512 137.968 -1.723 0.085 -508.519 33.217weathersit_MISTY -0.0012 0.000 -4.333 0.000 -0.002 -0.001
season_WINTER -166.5504 106.786 -1.560 0.119 -376.200 43.099weathersit_RAIN/SNOW/STORM -0.0004 4.31e-05 -8.503 0.000 -0.000 -0.000
holiday_NO HOLIDAY 1472.2149 170.158 8.652 0.000 1138.150 1806.280effect_temp -2.2112 0.487 -4.538 0.000 -3.168 -1.255
workingday_WORKING DAY 129.4068 75.424 1.716 0.087 -18.671 277.485effect_hum 4.3510 0.794 5.483 0.000 2.793 5.909
weathersit_MISTY -552.9660 86.025 -6.428 0.000 -721.857 -384.075effect_windspeed -4.3845 0.855 -5.126 0.000 -6.064 -2.705
weathersit_RAIN/SNOW/STORM -2278.4832 222.697 -10.231 0.000 -2715.696 -1841.271effect_days_since_2011 0.8996 0.032 28.507 0.000 0.838 0.962
effect_season_SPRING 0.8056 0.187 4.309 0.000 0.439 1.173
effect_season_SUMMER 1.2093 0.565 2.141 0.033 0.100 2.318
effect_season_WINTER 2.5553 0.665 3.840 0.000 1.249 3.862
effect_holiday_NO HOLIDAY 0.4660 0.138 3.375 0.001 0.195 0.737
effect_workingday_WORKING DAY 0.9653 0.566 1.705 0.089 -0.146 2.077
effect_weathersit_MISTY 0.6861 0.158 4.333 0.000 0.375 0.997
effect_weathersit_RAIN/SNOW/STORM 0.8346 0.098 8.503 0.000 0.642 1.027
\n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", - "
Omnibus: 91.953 Durbin-Watson: 1.007Omnibus: 91.525 Durbin-Watson: 0.911
Prob(Omnibus): 0.000 Jarque-Bera (JB): 201.146Prob(Omnibus): 0.000 Jarque-Bera (JB): 194.706
Skew: -0.713 Prob(JB): 2.10e-44Skew: -0.719 Prob(JB): 5.25e-43
Kurtosis: 5.138 Cond. No. 2.88e+03Kurtosis: 5.079 Cond. No. 5.34e+19


Notes:
[1] R² is computed without centering (uncentered) since the model does not contain a constant.
[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[3] The condition number is large, 2.88e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + "

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The smallest eigenvalue is 2.66e-30. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular." ], "text/plain": [ "\n", "\"\"\"\n", - " OLS Regression Results \n", - "=======================================================================================\n", - "Dep. Variable: cnt R-squared (uncentered): 0.966\n", - "Model: OLS Adj. R-squared (uncentered): 0.965\n", - "Method: Least Squares F-statistic: 1851.\n", - "Date: Mon, 28 Nov 2022 Prob (F-statistic): 0.00\n", - "Time: 15:43:39 Log-Likelihood: -6014.8\n", - "No. Observations: 731 AIC: 1.205e+04\n", - "Df Residuals: 720 BIC: 1.210e+04\n", - "Df Model: 11 \n", - "Covariance Type: nonrobust \n", - "==============================================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "----------------------------------------------------------------------------------------------\n", - "temp 116.6652 7.192 16.222 0.000 102.545 130.785\n", - "hum -3.9938 2.518 -1.586 0.113 -8.938 0.950\n", - "windspeed -22.8508 6.407 -3.567 0.000 -35.429 -10.273\n", - "days_since_2011 5.2871 0.169 31.303 0.000 4.955 5.619\n", - "season_SPRING 587.9965 111.794 5.260 0.000 368.515 807.478\n", - "season_SUMMER -237.6512 137.968 -1.723 0.085 -508.519 33.217\n", - "season_WINTER -166.5504 106.786 -1.560 0.119 -376.200 43.099\n", - "holiday_NO HOLIDAY 1472.2149 170.158 8.652 0.000 1138.150 1806.280\n", - "workingday_WORKING DAY 129.4068 75.424 1.716 0.087 -18.671 277.485\n", - "weathersit_MISTY -552.9660 86.025 -6.428 0.000 -721.857 -384.075\n", - "weathersit_RAIN/SNOW/STORM -2278.4832 222.697 -10.231 0.000 -2715.696 -1841.271\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: cnt R-squared: 0.794\n", + "Model: OLS Adj. R-squared: 0.790\n", + "Method: Least Squares F-statistic: 251.2\n", + "Date: Sun, 04 Dec 2022 Prob (F-statistic): 1.05e-237\n", + "Time: 11:10:01 Log-Likelihood: -5993.0\n", + "No. Observations: 731 AIC: 1.201e+04\n", + "Df Residuals: 719 BIC: 1.207e+04\n", + "Df Model: 11 \n", + "Covariance Type: nonrobust \n", + "=====================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-----------------------------------------------------------------------------------------------------\n", + "temp 1.391e+04 2094.125 6.641 0.000 9795.056 1.8e+04\n", + "hum -0.0112 0.002 -5.483 0.000 -0.015 -0.007\n", + "windspeed -4637.8313 698.398 -6.641 0.000 -6008.975 -3266.688\n", + "days_since_2011 0.1702 0.006 28.507 0.000 0.158 0.182\n", + "season_SPRING 0.0014 0.000 4.309 0.000 0.001 0.002\n", + "season_SUMMER -0.0051 0.002 -2.141 0.033 -0.010 -0.000\n", + "season_WINTER -0.0153 0.004 -3.840 0.000 -0.023 -0.007\n", + "holiday_NO HOLIDAY 0.0003 9.38e-05 3.375 0.001 0.000 0.001\n", + "workingday_WORKING DAY 0.0075 0.004 1.705 0.089 -0.001 0.016\n", + "weathersit_MISTY -0.0012 0.000 -4.333 0.000 -0.002 -0.001\n", + "weathersit_RAIN/SNOW/STORM -0.0004 4.31e-05 -8.503 0.000 -0.000 -0.000\n", + "effect_temp -2.2112 0.487 -4.538 0.000 -3.168 -1.255\n", + "effect_hum 4.3510 0.794 5.483 0.000 2.793 5.909\n", + "effect_windspeed -4.3845 0.855 -5.126 0.000 -6.064 -2.705\n", + "effect_days_since_2011 0.8996 0.032 28.507 0.000 0.838 0.962\n", + "effect_season_SPRING 0.8056 0.187 4.309 0.000 0.439 1.173\n", + "effect_season_SUMMER 1.2093 0.565 2.141 0.033 0.100 2.318\n", + "effect_season_WINTER 2.5553 0.665 3.840 0.000 1.249 3.862\n", + "effect_holiday_NO HOLIDAY 0.4660 0.138 3.375 0.001 0.195 0.737\n", + "effect_workingday_WORKING DAY 0.9653 0.566 1.705 0.089 -0.146 2.077\n", + "effect_weathersit_MISTY 0.6861 0.158 4.333 0.000 0.375 0.997\n", + "effect_weathersit_RAIN/SNOW/STORM 0.8346 0.098 8.503 0.000 0.642 1.027\n", "==============================================================================\n", - "Omnibus: 91.953 Durbin-Watson: 1.007\n", - "Prob(Omnibus): 0.000 Jarque-Bera (JB): 201.146\n", - "Skew: -0.713 Prob(JB): 2.10e-44\n", - "Kurtosis: 5.138 Cond. No. 2.88e+03\n", + "Omnibus: 91.525 Durbin-Watson: 0.911\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 194.706\n", + "Skew: -0.719 Prob(JB): 5.25e-43\n", + "Kurtosis: 5.079 Cond. No. 5.34e+19\n", "==============================================================================\n", "\n", "Notes:\n", - "[1] R² is computed without centering (uncentered) since the model does not contain a constant.\n", - "[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[3] The condition number is large, 2.88e+03. This might indicate that there are\n", - "strong multicollinearity or other numerical problems.\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The smallest eigenvalue is 2.66e-30. This might indicate that there are\n", + "strong multicollinearity problems or that the design matrix is singular.\n", "\"\"\"" ] }, - "execution_count": 44, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -466,7 +455,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ @@ -478,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 92, "metadata": {}, "outputs": [], "source": [ @@ -814,12 +803,12 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -835,9 +824,38 @@ "\n", "ax.boxplot(df[effect_columns], vert=False)\n", "ax.set_yticklabels(effect_columns)\n", + "ax.axvline(0, linestyle='-.', color='red')\n", "ax.set_ylabel(\"Features\")\n", "ax.set_xlabel(\"Effect\")\n", - "ax.set_title(\"Feature Effect on Predictions\");" + "ax.set_title(\"Feature Effect on Predictions\")\n", + "plt.grid();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Individual Predictions" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "# new_observation = [1.604356, 51.8261, 6.000868, 5, 0, 0, 1, 1, 1, 0, 0]\n", + "\n", + "# fig, ax = plt.subplots(1,1)\n", + "# ax.boxplot(df[effect_columns], vert=False)\n", + "# for idx, col in enumerate(effect_columns):\n", + "# ax.annotate('x', (idx, new_observation[idx]))\n", + "# ax.set_yticklabels(effect_columns)\n", + "# ax.axvline(0, linestyle='-.', color='red')\n", + "# ax.set_ylabel(\"Features\")\n", + "# ax.set_xlabel(\"Effect\")\n", + "# ax.set_title(\"Feature Effect on Predictions\")\n", + "# plt.grid();" ] }, { diff --git a/Python/cervical-cancer/Chapter5-interpretable_models.ipynb b/Python/cervical-cancer/Chapter5-interpretable_models.ipynb new file mode 100644 index 000000000..9045ced24 --- /dev/null +++ b/Python/cervical-cancer/Chapter5-interpretable_models.ipynb @@ -0,0 +1,461 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "from preprocess_cervical_cancer_data import data_pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AgeNumber.of.sexual.partnersFirst.sexual.intercourseNum.of.pregnanciesSmokesSmokes..years.Hormonal.ContraceptivesHormonal.Contraceptives..years.IUDIUD..years.STDsSTDs..number.STDs..Number.of.diagnosisSTDs..Time.since.first.diagnosisSTDs..Time.since.last.diagnosisBiopsy
018415100.000.000.0000110
115114100.000.000.0000110
234115100.000.000.0000110
3525164137.013.000.0000110
446321400.0115.000.0000110
\n", + "
" + ], + "text/plain": [ + " Age Number.of.sexual.partners ... STDs..Time.since.last.diagnosis Biopsy\n", + "0 18 4 ... 1 0\n", + "1 15 1 ... 1 0\n", + "2 34 1 ... 1 0\n", + "3 52 5 ... 1 0\n", + "4 46 3 ... 1 0\n", + "\n", + "[5 rows x 16 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cervical = data_pipeline()\n", + "cervical.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "some_risk_factors = ['Hormonal.Contraceptives', 'Smokes', 'Num.of.pregnancies', 'STDs..Number.of.diagnosis', 'IUD']" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LogisticRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LogisticRegression()" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# from sklearn.linear_model import LogisticRegression\n", + "\n", + "# lr = LogisticRegression()\n", + "# lr.fit(cervical[some_risk_factors], cervical['Biopsy'])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + " Current function value: 0.297389\n", + " Iterations 7\n" + ] + } + ], + "source": [ + "import statsmodels.api as sm\n", + "\n", + "lr = sm.Logit(cervical['Biopsy'], cervical[some_risk_factors]).fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Logit Regression Results
Dep. Variable: Biopsy No. Observations: 858
Model: Logit Df Residuals: 853
Method: MLE Df Model: 4
Date: Tue, 06 Dec 2022 Pseudo R-squ.: -0.2490
Time: 10:41:08 Log-Likelihood: -255.16
converged: True LL-Null: -204.30
Covariance Type: nonrobust LLR p-value: 1.000
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err z P>|z| [0.025 0.975]
Hormonal.Contraceptives -1.2914 0.220 -5.857 0.000 -1.723 -0.859
Smokes -0.3487 0.365 -0.955 0.339 -1.064 0.367
Num.of.pregnancies -0.8171 0.099 -8.284 0.000 -1.010 -0.624
STDs..Number.of.diagnosis 0.3884 0.329 1.181 0.238 -0.256 1.033
IUD 0.6721 0.416 1.617 0.106 -0.143 1.487
" + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " Logit Regression Results \n", + "==============================================================================\n", + "Dep. Variable: Biopsy No. Observations: 858\n", + "Model: Logit Df Residuals: 853\n", + "Method: MLE Df Model: 4\n", + "Date: Tue, 06 Dec 2022 Pseudo R-squ.: -0.2490\n", + "Time: 10:41:08 Log-Likelihood: -255.16\n", + "converged: True LL-Null: -204.30\n", + "Covariance Type: nonrobust LLR p-value: 1.000\n", + "=============================================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "---------------------------------------------------------------------------------------------\n", + "Hormonal.Contraceptives -1.2914 0.220 -5.857 0.000 -1.723 -0.859\n", + "Smokes -0.3487 0.365 -0.955 0.339 -1.064 0.367\n", + "Num.of.pregnancies -0.8171 0.099 -8.284 0.000 -1.010 -0.624\n", + "STDs..Number.of.diagnosis 0.3884 0.329 1.181 0.238 -0.256 1.033\n", + "IUD 0.6721 0.416 1.617 0.106 -0.143 1.487\n", + "=============================================================================================\n", + "\"\"\"" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lr.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "weights = lr.params.to_dict()\n", + "std_error = lr.bse.to_dict()\n", + "odds_ratio = {}\n", + "for key, val in weights.items():\n", + " odds_ratio[key] = np.exp(val)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weightsodds_ratiostd_error
Hormonal.Contraceptives-1.2913530.2748990.220483
Smokes-0.3487320.7055820.365052
Num.of.pregnancies-0.8171200.4417020.098634
STDs..Number.of.diagnosis0.3883921.4746080.328834
IUD0.6721031.9583510.415768
\n", + "
" + ], + "text/plain": [ + " weights odds_ratio std_error\n", + "Hormonal.Contraceptives -1.291353 0.274899 0.220483\n", + "Smokes -0.348732 0.705582 0.365052\n", + "Num.of.pregnancies -0.817120 0.441702 0.098634\n", + "STDs..Number.of.diagnosis 0.388392 1.474608 0.328834\n", + "IUD 0.672103 1.958351 0.415768" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for key, val in weights.items():\n", + " weights[key] = [val]\n", + "\n", + "t = pd.DataFrame(weights, index=['weights']).T\n", + "t['odds_ratio'] = t.index.map(odds_ratio)\n", + "t['std_error'] = t.index.map(std_error)\n", + "\n", + "t" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.6 64-bit", + "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": "3.10.6" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Python/cervical-cancer/__pycache__/preprocess_cervical_cancer_data.cpython-310.pyc b/Python/cervical-cancer/__pycache__/preprocess_cervical_cancer_data.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5141eb6053f87c1cb995f949bc2dcce41140b43a GIT binary patch literal 614 zcmY*Xy>8nu5GE;E5!yJ&5TxkT*@MMCfMMjvOBN?++C_^%>j*?JEwZGNz=phK?<=HZ zULlX7wNqZ9Q|}bGO%J>ecf7-QKR7!azGEoQ#gB5z8T&=fTM_7-poSv^V89K_IS7az zST2BHvr+tl5jHOgcM_oyqn@LN&j`S`48)c>@oA+5J@qucT-0YXy-&LhDSsCu~P>yor9<282_b;3cOdaaEhYx*V8=R zmHaoRA0U4>{EvN)>e4~PJmv@dIEsZQ7i%O=)u4i>l>YAxQ@^^NE}g6_+!{@{!~&f_ I%J&C<0L-_M>i_@% literal 0 HcmV?d00001 diff --git a/Python/cervical-cancer/cervical_cancer_data.ipynb b/Python/cervical-cancer/cervical_cancer_data.ipynb index 2f4166be7..42d6d4428 100644 --- a/Python/cervical-cancer/cervical_cancer_data.ipynb +++ b/Python/cervical-cancer/cervical_cancer_data.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 14, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -197,7 +197,7 @@ "4 1 Healthy " ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -205,7 +205,7 @@ "source": [ "# Reading in the data\n", "\n", - "DIR = \"../data/\"\n", + "DIR = \"../../data/\"\n", "DATA = \"cervical.csv\"\n", "cervical = pd.read_csv(DIR+DATA)\n", "cervical.head()" diff --git a/Python/cervical-cancer/preprocess_cervical_cancer_data.py b/Python/cervical-cancer/preprocess_cervical_cancer_data.py new file mode 100644 index 000000000..d659e4070 --- /dev/null +++ b/Python/cervical-cancer/preprocess_cervical_cancer_data.py @@ -0,0 +1,15 @@ +# Imports +import pandas as pd + +# Reading in the data + + +def data_pipeline(): + DIR = "../../data/" + DATA = "cervical.csv" + cervical = pd.read_csv(DIR+DATA) + + # Converting target into binary variable + cervical['Biopsy'] = cervical['Biopsy'].apply(lambda row: 1 if row=='Cancer' else 0) + + return cervical \ No newline at end of file From 7fc12bd778e0c86f97949193f463f17532671274 Mon Sep 17 00:00:00 2001 From: Taraqur Date: Sat, 10 Dec 2022 22:40:43 -0500 Subject: [PATCH 5/5] fixed features --- .../Chapter5-interpretable_models.ipynb | 800 ++++++++---------- 1 file changed, 354 insertions(+), 446 deletions(-) diff --git a/Python/bike-sharing/Chapter5-interpretable_models.ipynb b/Python/bike-sharing/Chapter5-interpretable_models.ipynb index 50fb4b2d6..1a0b43ad5 100644 --- a/Python/bike-sharing/Chapter5-interpretable_models.ipynb +++ b/Python/bike-sharing/Chapter5-interpretable_models.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 79, "metadata": {}, "outputs": [], "source": [ @@ -31,45 +31,13 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 80, "metadata": {}, "outputs": [], "source": [ "df = data_pipeline()" ] }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 84, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABBIAAAKzCAYAAACjyC63AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAB7CAAAewgFu0HU+AAA62klEQVR4nO3df7xlV10f/M83JMMMgURx+JmhhB+mCVafUgIGgYmU1j4hIKAg0PalKRmF1kahJCUIKFIx8uspNFYrBvlRn4L4I4aSUNGICeYhJfig2EIIgaAM4degJITcySRk9Y+zr3NyuXPPujP33nPOve/363VeZ62z115nnVnZN+d+7tp7V2stAAAAAD2OmvYAAAAAgPkhSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOh29LQHsJVU1d2TfPdQ/UqSb05xOAAAAGx+d0tyn6H8l6212460Q0HCxvruJNdMexAAAABsSY9O8pEj7cSpDQAAAEA3KxI21lcWCx/+8IfzgAc8YJpjWZWFhYVceeWVSZLdu3dnx44dUx4Rq2H+5pv5m2/mb76Zv/lm/uab+Ztv5m92fOELX8hjHvOYxepXVmrbS5Cwsf7umggPeMADsmvXrmmOZVUWFhayc+fOJMmuXbv8IJgz5m++mb/5Zv7mm/mbb+Zvvpm/+Wb+ZtaaXKfPqQ0AAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAt6OnPQAAZsOJ51867SFsOp/9pTOnPQQAgDVnRQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQzV0bAACAmXbaBZfnpgM17WFsCu4oxFqwIgEAAADoJkgAAAAAugkSAAAAgG6CBAAAAKCbIAEAAADoJkgAAAAAuq1rkFBV962qp1TVq6rqfVW1r6ra8HjbYfR3RlVdXFV7q+q24fniqjpjFX0cXVUvqKoPVtVXqmqhqj5dVb9WVd+12jEBAADAVnL0Ovf/pbXopKqOSvLmJGcv2XTC8Hh6VV2U5PmttTtX6GdnksuSPHrJpocm+YkkP1ZV/7a1dtFajBsAAAA2m408teGvk7z/MPd9dQ6GCB9N8twkjxmePzq8vifJLxyqg6q6W5KLczBE+L0kZyT53iQ/leTLSe6e5NdWs8IBAAAAtpL1XpHwqiTXJLmmtfalqjoxyQ2r6aCqTkpy7lD9SJLdrbWFoX5NVb0nyRVJTk1yXlX9Rmvt+mW6+rEkjx/Kv9Ja+8mxbR+uqvcl+bMkxyX5T1V1SmvtjtWMFQAAADa7dQ0SWms/twbdvDAHx3nOWIiw+B63VtU5ST40tHtRkp/Mt1oMI/4myXnLjPX6qrogyQVJHp7kGUl+ew3GDwDAFnHi+ZdOewibxvHbWl71qGmPAljOTN+1oaoqydOG6rWttauXaze8/smh+rRhv/F+TkpyylB9d2vt1kO85dvGys84rEEDAADAJjbTQUKShyR54FC+YkLbxe0nJDlxybbHL9PuW7TWvpjkuqH6uL4hAgAAwNax3tdIOFKPGCtfO6Ht+PZTctdrMay2n5OSPKiqjm2tfWPiKAdVtWtCk/svFhYWFrKwsLBS25myf//+ZcvMB/M33zZq/o7f1tat761qYWHB8TfnzN98m8b8+Vm6do47pi1b5shs1O8gfn7OjvWY82pt4w7KJRdbfHtr7awJ7V+Q5FeH6rNaa7+zQttn5uA1DV7QWvu1sW3vSvLsoXqf1tq+Ffr55Ry8xsLJrbVPHqrtMvt2/2NedNFF2blzZ29zAAAAWLV9+/Zlz549i9UHtdb2Hmmfs35qw73GyrdMaDu+cuCe69QPAAAAbGmzfmrD9rHygQltbxsr71infiZ50ITt98/odpjZvXt3du2adCbE7Ni/f3+uvPLKJKOxb9++fcIezBLzN982av5Ou+Dydel3K7v6pU9y/M058zffpjF/fpauneOOaTn3e+5Mkrz+Y0fl5ttrwh70uPqlT9qQ9/Hzc3bs3XvECxC+xawHCeMn02yb0PbuY+WlJ4Es7Welk3RW6mdFk5aIjN9MYseOHdmxY7U5xWzYvn373I4d8zfv1nP+bjrgC9paWzpXjr/5Zv7m20bNn5+l6+Pm28u/7RqZxs8xPz+naz3+7Wf91Iavj5UnnWZw7Fh56ekLa9UPAAAAbGmzHiSM/4V/0nkA46cVfG4N+mlL9gMAAIAtb9aDhI+PlU+e0HZ8+yfWoJ/PrebWjwAAALAVzHqQcEOSG4fy6RPa7h6eP5/ks0u2/elY+ZD9VNX9k5w0VK/qGyIAAABsHTMdJLTWWpJLhurJVXXacu2G1xdXElwy7Dfez3U5uErhR6rqHod4y7PGyhcf1qABAABgE5vpIGHwxiTfHMoXVtVdLjk51C8cqncM7Zfz+uH53kleu3RjVT0syUuH6vURJAAAAMC3WNfbP1bV45M8fOylnWPlh1fVWePtW2tvW9pHa+26qnpdkvOTnJrkqqp6TZJPJ3lYkpckeeTQ/HWttU8dYjhvT/K8JI9L8pPDaQy/nuRvkzwmySuSHJfkziQ/1Vq7o/+TAgAAwNawrkFCkj1JfuwQ2x43PMa97RBtX5bkvhkFAY9M8q5l2rwlycsPNZDW2jer6ulJLkvy6CQ/PDzG3Zbk37bW3neofgAAAGArm4dTG9Jau7O1dnaSMzO6ZsKNSQ4Mz5ckeXJrbU9r7c4J/exL8n1J/k1GF2D8apL9ST6T0eqER7XWLlq3DwIAAABzbl1XJLTWzspdL2B4pP1dltGKgiPp444kvzo8AAAAgFWYixUJAAAAwGwQJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdjp72AABgszrx/Etz/LaWVz1qVD/tgstz04Ga7qDm3Gd/6cxpD2FTOfH8S6c9hHXl+ANYH1YkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdDt62gMAOFwnnn/ptIewIY7f1vKqR43Kp11weW46UNMdEAAAW5oVCQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEC3uQoSqmpbVe2pqj+oqi9U1W1VdUtVfbKq3lpV39fZzxlVdXFV7R362DvUz1jvzwAAAADz7OhpD6BXVT04yaVJvmvJpm1JThoeZ1XVhUl+urXWlunjqCRvTnL2kk0nDI+nV9VFSZ7fWrtzjT8CAAAAzL25WJFQVcfkriHCx5KcleSxSX4gyauSfGPYdk6Slxyiq1fnYIjw0STPTfKY4fmjw+t7kvzC2o0eAAAANo95WZHwtBwMET6U5AmttW+Obf/DqnrPsO2YJC+pqte31u5YbFBVJyU5d6h+JMnu1trCUL9m2P+KJKcmOa+qfqO1dv36fSQAAACYP3OxIiHJ+LUPLlgSIiRJWmt/luS9Q/XbkpyypMkLczA4OWcsRFjc/9aMVjNkaPeiIxsyAAAAbD7zEiRsGyt/ZoV2n15un6qqjFY1JMm1rbWrl9t5eP2TQ/Vpw34AAADAYF6ChE+OlR+6QruHDc8tyafGXn9IkgcO5SsmvNfi9hOSnNg5PgAAANgS5uUaCe/M6AKIx2V0/YPLlp7eUFWPTHLmUP1vrbWbxzY/Yqx87YT3Gt9+SpIbegdZVbsmNLn/YmFhYSELCwsrtZ0p+/fvX7bMfNis83f8tm+5OcumdNwxbdky88H8ra2N/n/nZv35uWiz/xx1/M0387c+Nurn6Gb/+TlP1mPOa5m7JM6kqvrBjAKFe2R0h4U3JrkuyT2TPC7Ji5PcK8n/n+TJrbUvje37giS/OlSf1Vr7nRXe55lJfnuovqC19murGGP3P+ZFF12UnTt39jYHAACAVdu3b1/27NmzWH1Qa23vkfY5LysS0lp7T1U9KqPA4Owkb1/S5EtJXpHk14cLJ46711j5lglv9Y2x8j0PZ6wAAACwWc1NkFBV25L8aEYXTVzuIoj3S/IvMzoV4T1Ltm0fKx+Y8Fa3jZV3rHKYD5qw/f5JrkmS3bt3Z9euSWdCzI79+/fnyiuvTDIa+/bt2yfswSzZrPN32gWXT3sIG+K4Y1rO/Z47kySv/9hRufl214GdJ+Zvvpm/+Wb+5pv5Wx9Xv/RJG/I+m/X75zzau/eIFyB8i7kIEqrq2CTvS/KEJN9M8tokb83oDg7bk3xvkp9N8vgkv19V57bW/p+xLsZPyhm/A8Ry7j5WXtXJJJOWiIzfBGLHjh3ZsWO1OcVs2L59+9yOnc01fzcd2HpfKG6+vbbk594szN98M3/zzfzNN/O3dqbxPXAzff+cR+vxbz8vd214ZUYhQpKc3Vp7SWvt2tbagdbaza21P0zyxCQfyGi1wuuq6v8a2//rY+VJpyscO1aedBoEAAAAbCkzHyTU6M/4zxuq17XWll4bIUnSWrsjo2skJKPPddbY5vGVApPOJxg/PeFz/SMFAACAzW/mg4SMrn1w76H80Qlt/2ysfPJY+eOHeH0549s/MaEtAAAAbCnzECTcMVaedE2HYw6x3w1JbhzKp0/oY/fw/Pkkn500OAAAANhK5iFI+JskNw/lx1bVSmHCeEhww2KhtdaSXDJUT66q05bbeXh9cUXCJcN+AAAAwGDmg4TW2p1JLh2qD0zysuXaVdW3J3nN2EvvXdLkjRnd8SFJLqyqu1y6cqhfOFTvGNoDAAAAY2Y+SBi8KsmtQ/mVVfWeqvrhqnpkVT22ql6U5M+TPGJoc3lr7f3jHbTWrkvyuqF6apKrqurZVXVqVT07yVXD60nyutbap9bzAwEAAMA8mnTNgZnQWru2qp6W5J1JdiZ56vBYzh8nedYhtr0syX0zugvEI5O8a5k2b0ny8iMaMAAAAGxS87IiIa21P8ro+gUvSfInSb6S5PYkCxldD+HdSZ6e5J+01v72EH3c2Vo7O8mZGV0z4cYkB4bnS5I8ubW2ZzidAgAAAFhiLlYkLGqtfTXJa4fHkfRzWZLL1mRQAAAAsIXMzYoEAAAAYPoECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdJvLIKGq/l5V/XxVfaSqvlJV+6vqc1X1wap6VVX9gwn7n1FVF1fV3qq6bXi+uKrO2KjPAAAAAPPo6GkPYLWq6pwkFyQ5dsmmXcPj8UmOS/LCZfY9Ksmbk5y9ZNMJw+PpVXVRkue31u5c25EDAADA/JurIKGqXp7kPwzV65L8epJrktyU5DuSPDLJM5IcKgR4dQ6GCB9N8tokn07ysCT/fth/T5KvJPmZtf8EAAAAMN/mJkioqiflYIjwjiR7Wmu3L2l2eZLXV9W2ZfY/Kcm5Q/UjSXa31haG+jVV9Z4kVyQ5Ncl5VfUbrbXr1/pzAAAAwDybi2skDKck/OpQ/YskZy8TIvyd1tqBZV5+YQ4GJ+eMhQiL+9ya5JyhenSSFx3JmAEAAGAzmosgIckPJPnOofya1todq9m5qirJ04bqta21q5drN7z+yaH6tGE/AAAAYDAvQcKzhueW5L2LL1bVvavqO6vq3hP2f0iSBw7lKya0Xdx+QpITVzlOAAAA2NTmJUg4bXj+bGvt61X1z6vqL5N8NaOLLn61qj5ZVedW1d2X2f8RY+VrJ7zX+PZTDn/IAAAAsPnM/MUWh+sjnDxU91XVm5L81DJNT0ryuiTPqKozW2tfG9u2a6y8d8Jbfm6s/KBVjnXXhCb3XywsLCxkYWFhpbYzZf/+/cuWmQ+bdf6O39amPYQNcdwxbdky88H8zTfzN9/M33wzf+tjo34H2azfP+fResx5tTbbB2VVfXuSvxmq+5NsT/KFJOcluWx47dFJXpODKxcubq390Fgf52V0q8ckOaO19j9WeL8zhn6T5NzW2htWMdbuf8yLLrooO3fu7G0OAAAAq7Zv377s2bNnsfqg1tqkP65PNA+nNhw7Vt6e5NYkT2yt/b+ttb9trS201q5M8o8zuqNDMlqV8L1L9lu03B0dxt02Vt5xuIMGAACAzWjmT23IaMXBuItaa59c2qi1tlBVL8vBizE+O8n/XKaPbRPeb/waC6tdAzLpVIj7J7kmSXbv3p1duyadCTE79u/fnyuvvDLJaOzbt2+fsAezZLPO32kXXD7tIWyI445pOfd77kySvP5jR+Xm291QZp6Yv/lm/uab+Ztv5m99XP3SJ23I+2zW75/zaO/eI16A8C3mIUj4+pL6+1doe3mSOzL6XI8+RB/3nPB+4ysgbpk4ujGTloiM301yx44d2bFjPhc8bN++fW7Hzuaav5sObL0vFDffXlvyc28W5m++mb/5Zv7mm/lbO9P4HriZvn/Oo/X4t5/5Uxtaa7cl+crYS59boe3+JPuG6n3GNo3/gj9pGcD4qoJDvhcAAABsRTMfJAz+91j5bhPaLm6/Y+y1j4+VT87Kxrd/YkJbAAAA2FLmJUi4cqz80EM1qqrjkizeCuHzY5tuSHLjUD59wnvtHtv/s/1DBAAAgM1vXoKE3x0rP2OFds9Isnjy1AcXX2yje1xeMlRPrqrTlu6YJMPriysSLmmzfm9MAAAA2GBzESS01j6W5H1D9blV9S2XGq2q+yf5haF6IMlblzR5Y5JvDuULq+ouV5wY6hcO1TuG9gAAAMCYuQgSBi9M8rWMxvzeqrqgqp5QVadW1b/J6LaKixdSfEVrbfzUhrTWrkvyuqF6apKrqurZw/7PTnLV8HqSvK619qn1/TgAAAAwf+bh9o9JRkFAVT01ye8kuV+S84fHXZoleXVr7bWH6OZlSe6b5HlJHpnkXcu0eUuSl6/JoAEAAGCTmacVCWmt/WmS70ry80n+IsnNSfZndDHFtyZ5VGvtFSvsf2dr7ewkZ2Z0zYQbMzoN4sah/uTW2p7W2p3r+kEAAABgTs3NioRFrbWvJnnl8DjcPi5LctkaDQkAAAC2jLlakQAAAABMlyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACg21wHCVX1mqpqY4/v79jnjKq6uKr2VtVtw/PFVXXG+o8YAAAA5tvR0x7A4aqqf5jk362i/VFJ3pzk7CWbThgeT6+qi5I8v7V251qNEwAAADaTuVyRMBYKHJ3ky527vToHQ4SPJnlukscMzx8dXt+T5BfWbqQAAACwucxlkJDkp5I8Osm1Sd4yqXFVnZTk3KH6kSSPa629q7V2TWvtXUkeP7yeJOdV1cPXYcwAAAAw9+YuSKiqv5fkPwzVFyQ50LHbC3PwNI5zWmsL4xtba7cmOWeoHp3kRUc+UgAAANh85i5ISPKfk9wzydtba1dMalxVleRpQ/Xa1trVy7UbXv/kUH3asB8AAAAwZq6ChKr6kSRPSfI3OXiqwiQPSfLAoTwpeFjcfkKSE1c7PgAAANjs5uauDVX1bUneNFRf0lrb17nrI8bK105oO779lCQ3dL5HkqSqdk1ocv/FwsLCQhYWFlZqO1P279+/bJn5sFnn7/htbdpD2BDHHdOWLTMfzN98M3/zzfzNN/O3Pjbqd5DN+v1zHq3HnFdr83FQVtWbk/x4kquSPKENA6+qVyb5uaHZE1trf7Jkvxck+dWh+qzW2u+s8B7PTPLbQ/UFrbVfW+UYu/8xL7roouzcuXM13QMAAMCq7Nu3L3v27FmsPqi1tvdI+5yLUxuq6gkZ3Zrxjox+wV9N+nGvsfItE9p+Y6x8z1W8BwAAAGwJM39qQ1VtS/LmJJXkP7bW/tcqu9g+Vp50h4fbxso7Vvk+SfKgCdvvn+SaJNm9e3d27Zp0JsTs2L9/f6688soko7Fv3759wh7Mks06f6ddcPm0h7Ahjjum5dzvuTNJ8vqPHZWbb3ct2Hli/uab+Ztv5m++mb/1cfVLn7Qh77NZv3/Oo717j3gBwreY+SAhyc8kOTnJXyf5+cPYf/yEnG0T2t59rLzqE0kmLREZvxHEjh07smPH4WQV07d9+/a5HTuba/5uOrD1vlDcfHttyc+9WZi/+Wb+5pv5m2/mb+1M43vgZvr+OY/W499+pk9tqKqTk7x0qJ7TWvvGSu0P4etj5UmnKxw7Vp50GgQAAABsObO+IuFFGa0i+EySe1TVc5Zp8w/Gyv+4qhbvjPDfh+BhfJXApHMJxk9N+NxqBwsAAACb3awHCYunGjw0yTs72r9irPyQjC6e+PGx106esP/49k90vB8AAABsKTN9asMauSHJjUP59Altdw/Pn0/y2fUaEAAAAMyrmQ4SWmtntdZqpUfuegHGJ45t++zQR0tyybD95Ko6bbn3Gl5fXJFwySpvMQkAAABbwkwHCWvojUm+OZQvrKq7XLZyqF84VO8Y2gMAAABLbIkgobV2XZLXDdVTk1xVVc+uqlOr6tlJrhpeT5LXtdY+NY1xAgAAwKyb9YstrqWXJblvkucleWSSdy3T5i1JXr6RgwIAAIB5siVWJCRJa+3O1trZSc7M6JoJNyY5MDxfkuTJrbU9rbU7pzhMAAAAmGlzvyKhtfbKJK9cRfvLkly2XuMBAACAzWzLrEgAAAAAjpwgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoNvR0x4AbBUnnn/p1N77+G0tr3rUqHzaBZfnpgM1tbEAAADzzYoEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOgmSAAAAAC6CRIAAACAboIEAAAAoJsgAQAAAOh29LQHAAAAwMY48fxLN+R9jt/W8qpHjcqnXXB5bjpQG/K+G+2zv3TmtIcwFVYkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQbS6ChKo6tap+tqreX1V7q+q2qrqlqq6rqrdW1eNX2d8ZVXXxWF97h/oZ6/UZAAAAYDM4etoDmKSqrkzyhGU2bUvyncPjrKp6R5Ifb60dWKGvo5K8OcnZSzadMDyeXlUXJXl+a+3OtRg/AAAAbCbzsCLhgcPzjUnelOSZSR6T5LFJ/l2Szw/bfzTJ2yb09eocDBE+muS5Q1/PHepJsifJL6zBuAEAAGDTmfkVCUmuTfIzSX63tfbNJduurqr/muSqJCcleW5V/ZfW2pVLO6mqk5KcO1Q/kmR3a21hqF9TVe9JckWSU5OcV1W/0Vq7fh0+DwAAAMytmV+R0Fp7Smvt3cuECIvb9yV58dhLzzxEVy/MweDknLEQYbGfW5OcM1SPTvKiwx40AAAAbFIzHyR0+sBY+WFLN1ZVJXnaUL22tXb1cp0Mr39yqD5t2A8AAAAYbJYg4e5j5eVWLjwkB6+1cMWEvha3n5DkxCMbFgAAAGwumyVIOH2s/Illtj9irHzthL7Gt59y2CMCAACATWgeLra4ouGWjuePvfTuZZrtGivvndDl58bKD1rlWHZNaHL/xcLCwkIWFhZWajtT9u/fv2yZfsdva1N77+OOacuWmQ/mb76Zv/lm/uab+Ztv5m++bZX5m4ff6dZjjNXafE9qVb04yeuH6u+11n54mTbnJXntUD2jtfY/VujvjCSXDdVzW2tvWMVYuv8xL7roouzcubO3OQAAAKzavn37smfPnsXqg1prk/64PtFcn9pQVacn+aWh+uUk//oQTbePlQ9M6Pa2sfKOwxwaAAAAbEpze2pDVX1Xkosz+gz7kzyrtfblQzQfX4u/bULX4xduXO0akEmnQtw/yTVJsnv37uzaNelMiNmxf//+XHnllUlGY9++ffuEPVjqtAsun9p7H3dMy7nfc2eS5PUfOyo33+6GJPPE/M038zffzN98M3/zzfzNt60yf1e/9EnTHsJEe/ce8QKEbzGXQUJVPSTJ+5N8e0Z3aXhOa+3KFXb5+lj5nhO6P3asfMtqxjVpicj43SR37NiRHTvmc8HD9u3b53bs03TTgdn44Xnz7TUzY2H1zN98M3/zzfzNN/M338zffNvM8zcPvxetxxjn7tSGqnpgkj/K6HaOLcnzWmuXTNht/Bf8ScsAxlcVfO6QrQAAAGALmqsgoap2JvnDJA8dXjqntfaOjl0/PlY+eULb8e3L3UoSAAAAtqy5CRKq6vgkf5DkEcNL57fW/nPn7jckuXEonz6h7e7h+fNJPruaMQIAAMBmNxdBQlXdI8mlSf7R8NKrW2uv6d2/je5xuXj6w8lVddoh3ue0HFyRcEmb93tjAgAAwBqb+SChqrZldHeGxw0vvam19vLD6OqNGV2YMUkurKq7XHFiqF84VO8Y2gMAAABj5uGuDe9M8gND+Y+TvKWq/sEK7Q+01q5b+mJr7bqqel2S85OcmuSqqnpNkk8neViSlyR55ND8da21T63VBwAAAIDNYh6ChB8aK//jJB+b0P6vkpx4iG0vS3LfJM/LKDR41zJt3pLkcFY8AAAAwKY386c2rKXW2p2ttbOTnJnRNRNuTHJgeL4kyZNba3taa3dOcZgAAAAws2Z+RUJrrdahz8uSXLbW/QIAAMBmt6VWJAAAAABHRpAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEA3QQIAAADQTZAAAAAAdBMkAAAAAN0ECQAAAEC3o6c9AGbXiedf+nfl47e1vOpRo/JpF1yemw7UlEYFAADANFmRAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0E2QAAAAAHQTJAAAAADdBAkAAABAN0ECAAAA0G1LBglV9eCqekNVXVtV36iqv6mqa6rqvKq6x7THBwAAALPq6GkPYKNV1VOT/GaS48ZevkeSU4fHnqo6s7V2/TTGBwAAALNsS61IqKpHJvmtjEKEW5K8LMn3JXlSkl8fmp2U5NKqutdUBgkAAAAzbKutSHhTkh1J7kjyA621D41t++Oq+lSS12YUJrw4ySs3fIQAAAAww7bMioSqekySJwzVtywJERa9IcknhvJPV9UxGzI4AAAAmBNbJkhI8vSx8luXa9BauzPJO4bqtyV54voOCQAAAObLVgoSHj88fyPJn63Q7oqx8uPWbzgAAAAwf7ZSkHDK8Hx9a+2OFdpdu8w+AAAAQLbIxRaranuSnUN170ptW2t/W1XfSHJskget8n12TWhywmLhhhtuyMLCwmq633A79n/l78p3v6Nl3747R+Vbj8qOO2paw+IwmL/5Zv7mm/mbb+Zvvpm/+Wb+5ttWmb9PfepT0x7CRF/84hfHq3dbiz6rtbYW/cy0qrpPki8P1d9qrT1nQvsvJblvkv/VWvvuVbzP5v/HBAAAYF49urX2kSPtZKuc2rB9rHygo/1tw/OOdRgLAAAAzK0tcWpDkv1j5W0d7e8+PK/23INJp0JsS3JyRqsjvpLkm6vsf5run+SaofzoJF9coS2zx/zNN/M338zffDN/8838zTfzN9/M3+y4W5L7DOW/XIsOt0qQ8PWx8j072h87PN+ymjdpra14/YXBZ1bT56youss5TV/s/KzMCPM338zffDN/8838zTfzN9/M33wzfzPnr9aysy1xakNrbX+Srw7VFS+IWFXfnoNBwufWc1wAAAAwb7ZEkDD4+PD88KpaaSXGyWPlT6zjeAAAAGDubKUg4U+H52OTPGqFdqePla9av+EAAADA/NlKQcLvj5X/1XINquqoJD86VL+W5APrOyQAAACYL1smSGitfTjJB4fq2VX12GWavTjJKUP5Ta212zdkcAAAADAntspdGxb9dEanK+xI8v6q+sWMVh3sSPKcJD8xtLsuyRumMkIAAACYYVsqSGitfbSqnp3kN5Mcl+QXl2l2XZIzW2tfX2YbAAAAbGnVWpv2GDZcVT04o9UJZ2Z0O8gDSa5P8ttJfrm1dusUhwcAAAAza0sGCQAAAMDh2TIXWwQAAACOnCABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggSOWFX9SVW1nse0x7oVVdWDq+oNVXVtVX2jqv6mqq6pqvOq6h7THh/fqvd4qqo/mfZYt5qqum9VPaWqXlVV76uqfWPz8bbD6O+Mqrq4qvZW1W3D88VVdcY6DH/LW4v5q6qzVnGMnrW+n2hrqapTq+pnq+r9Y8fMLVV1XVW9taoev8r+HH8bbC3m0DE4HVV1XFU9Z/hOeUVVXV9VN1XVgar68vD7wL+vqu/o7O/7quo3q+qvqmp/VX2xqv6gqp673p+FtXH0tAcArJ+qemqS30xy3NjL90hy6vDYU1Vnttaun8b4YA59aS06qaqjkrw5ydlLNp0wPJ5eVRcleX5r7c61eE+SrNH8sfGq6sokT1hm07Yk3zk8zqqqdyT58dbagRX6cvxNwVrOIVPxmCTvPMS2+yQ5fXicV1X/srX2B4fqqKpemeQVuesfte+X5AeS/EBV/Yskz2yt7V+LgbM+BAmspY8k+VfTHgQjVfXIJL+VZEeSW5JckOQDQ/05SX48yUlJLq2qU1trX5/WWDmkX03yKyts/8ZGDYRl/XWSazP64rNar87BX2I+muS1ST6d5GFJ/n2SRybZk+QrSX7miEfKco5k/hb9syQ3rrB97xH0zV09cHi+MclvJ/lgRnN4tySPTfLijEKAH01yTJJ/vkJfjr/pWMs5XOQY3Fify+i75J8N5S9kFAbsSvLMJD+UZGeS91TVY1prf7G0g6p6fpKfG6qfTvKLSf4yo/8+fjrJE5OcmeQ30vffAFNSrVltzpEZllefnuSK1tr3T3c0LBpL/u9Isru19qEl28/L6MtTkvx8a+2VGztCDqUOngZkXmZMVf18kmuSXNNa+1JVnZjkhmHz21trZ3X0cVKS/51RmP+RjI7PhbHt90hyRUarhu5IcopVQ2tjjebvrCRvHaoPaa19du1HylJV9d4k70jyu621by6zfWeSqzIKyJPk9Nbalcu0c/xNyRrO4VlxDG64qrrbcvO2pM3Tk1w8VC9urf3Qku33TvKZJMdnFCI9qrW2b/w9hv2fOrz0xNban6zJB2DNuUYCbEJV9ZgcXD74lqUhwuANST4xlH+6qo7ZkMHBHGut/Vxr7b2ttSNZIv/CHFwReM74LzHDe9ya5JyhenSSFx3BezFmjeaPKWitPaW19u5D/SIz/DLy4rGXnnmIrl4Yx99UrOEcMgWTQoShze8n+eRQXe40lj0ZhQhJ8pLxEGHsPf5NksX3Ou+wBsuGECTA5vT0sfJbl2swnPf5jqH6bRktJQPWUVVVkqcN1Wtba1cv1254ffHL2NOG/YCVfWCs/LClGx1/c2HFOWQuLJ4qu32ZbU8fnm9O8nvL7dxa25vkj4bqk6rqXms6OtaMIAE2p8WrHn8jo/PYDuWKsfLj1m84wOAhOXie8BUrNRzbfkKSE9drQLCJ3H2svNxfTx1/s2/SHDLDqurvJ/mHQ/XaJdu2ZXTBxiT50ISLaS4ef3fP6DQjZpAggbV0clX9z6r62nAbl71VdUlV/ahl8xvulOH5+tbaHSu0G/8hf8ohWzEtz6qqj1fVrVX19ar6VFW9vaqsHplfjxgrX3vIVt+63fE5m95aVTcOtz/bV1VXV9UvVNUJ0x7YFnX6WPkTy2x3/M2+SXO4lGNwyqrqHlX1nVX17zIKABZPHXrjkqYnZXRhzcTxtykIElhL98soaTw+owTxhCQ/mOTtSf68qvwg2ABVtT2jK+YmE65W3Fr72xy88v+D1nNcHJZHZPQ/0B1J7pnk4RldzfqPh3udH7/SzsykXWPlSVcT/9xY2fE5m74/yQMyusL8dyT53iQvS3L9cGVyNshwS8fzx1569zLNHH8zrHMOl/r+OAY3XFWdVVVtuDj0N5Jcl9G1t+43NPmlJP9tyW6Ov03G7R9ZC3cmuTzJZUn+IslXk9wryT9K8vyMfhF6RJIPDLeC+etpDXSLGD+X7JaO9t9IcmxGv6gyG25N8p6MjqtrM5rHxXs0vyCjL0tPT3JJVf3T1trtUxonq7ea43P89p6Oz9nymYzO7/1QDn7hfWiSH87oAnHbk/yXqmqttTdPZ4hbzotycNn077XWljutz/E323rmcJFjcDb9eZKfaK1ds8w2x98mI0hgLfxQa+1ry7z+war6lSS/nuTHMkop35jRPWZZP+MXt1np/LNFtw3PO9ZhLByeEw5xTP1hVV2Y5H0Z3ef89CT/Osl/2sCxcWRWc3zeNlZ2fM6OizO6VeTS+2dfk+S3quopGf2Cc0yS/1hV72mtfXGjB7mVVNXpGf0FNEm+nNHPxeU4/mbUKuYwcQzOgt/P6Papyej4eFiSH0nyjCTvrKoXttbeu2Qfx98m49SGLWJx+dERPs5aru9D/MKzuO32jG71snj142c4b23d7R8rb+tov3hho4UVW7FhJhxTX8rory2LqxDOOVRbZtJqjs/xi445PmdEa+2mZX6BGd/+3iSvGqr3SHL2hgxsi6qq78roF8ujMzq+ntVa+/Ihmjv+ZtAq59AxOANaa19rrf2v4XFNa+1drbUfyuj0y4dmtGLyrCW7Of42GUEC62642N9bxl46/VBtWRNfHyv3LAc7dnjuOQ2CGdBa+0ySPxyqD6+qB67UnpmymuPz2LGy43O+vDnJ4i86/p+3TqrqIUnen+TbM7rC/3Naa1eusIvjb8Ycxhz2cgxOQWvtvyb57Yx+x/zlqrr32GbH3ybj1IatYy0udPiFI9j342NlKxLWUWttf1V9NaPz6Het1Laqvj0Hf1h/bqW2zJyPJ3nyUD4hyY1THAv9xi8wteLxmbteYMrxOUdaa18efg7vjP/nrYshQP2jjG7n2JI8r7V2yYTdHH8z5DDnsItjcKouyeg0h2OT/N85eNFFx98mI0jYIlprk26zsu5DmPL7bzUfT/KEjP5affQKt4A8eazcc5slZodjaj6Nh6onH7LVt253fM4fx+g6qaqdGa3Keujw0jmttXd07Or4mxFHMIer4Ricjq+MlR88Vr4uo1Und4vjb1NwagMbZfzezf5yuv7+dHg+NsmjVmg3vtzvqvUbDuvAMTWfbsjB+Zq03Hb38Pz5JJ9drwGx9qrqPjl4G17H5xoabnv7Bzn4M/D81tp/7tzd8TcDjnAOe9/DMTg94ytA/u60hNbagSQfHqqPraqVrpOweHzeloMXdWTGCBJYd1V1dJLnjb20Fue+sbLfHyv/q+UaDPdr/tGh+rUkH1jfIbFWhnNK/+lQ/XRr7fPTHA/9hguELS7dPbmqTluu3fD64l9kLlnpwmLMpJ9IUkP5imkOZDOpqnskuTSj20snyatba6/p3d/xN31HOoer4BicnmeNlf9yybbfH56PyyHu4lZVu5L8k6F6eWvt68u1Y/oECRyRqnpiVX3bCtuPSXJRDl6j4b+31pzrtM5aax9O8sGhenZVPXaZZi/OwXl503CHDaasqp46hG+H2n6/JL+bg1c8/pUNGRhr6Y0ZLe9Mkgur6i63thrqFw7VO4b2zICqOrGqHjmhzVOS/OxQXUjy1nUf2BYw/PXy4iSPG156U2vt5YfR1Rvj+JuKtZhDx+D0VNVZVbV9QpsX5eD1m27Iwe+iiy5KctNQ/qWq+o4l+98to+81dxteet0RDZp1VUJWjkRVvS3JDyd5T5I/yeg2jzdndDXWR2WUCC8uXftyktNaazds+EC3oOF/tFdldP/dW5L8YkarDnYkeU5Gc5OMzlk7VeI7G6rqsxnd+/p3k3wooyW1Cxkt0fz+JM/PweWaf5rkn7TWblvaD+ujqh6f5OFjL+3MwS86V2X0JenvtNbedoh+Lkhy/lD9aJLXJPl0RvfifkmSxS/KF7TWfmYtxs6Rz19VfX9GP0c/lOS/J/mLjP7flozO9X7m8Fj8S+hPttaEfWugqn43B/+C+cdJXpiVz4E/0Fq77hB9Of6mYC3m0DE4PcP3k3tl9P3kTzM6Zm4ZXvvuJP8iB0OiA0nObK390TL9PD/Jfxmqn07y6oxWLjwwo/8mnjhse2dr7Z+vw0dhjQgSOCJDkPBjHU3/MqNb+nx8YkvWTFU9NclvZrSEbDnXZfSD/vqNGxUrGf5H/eBJ7TL6H/me1trX1nVA3MUqfuYlSVprtdzrw6lFv567nva11FuS/ERr7c7VjJFDO9L5G/slZpJbk7yotfbmVQyPFVTVar+w/lVr7cRD9OX4m4K1mEPH4PSs4vvJ3ozuwPGHh2pQVT+f5BU5GPgsdVmSH26t7V/tONk4ggSOSFWdkuSfJXlsRisP7pPk3hldHOVLGV0g5XeSXNxa++ah+mH9VNWDk/x0kjMzut3OgSTXZ3Sf319urd06xeGxRFWdntFFhh6b0V9XdmYUBN2S0S2Q/r8kb2+tfWhqg9zC1ipIGOvvyRmtDnp0RnO9L8k1SX6ttfa+wx8py1mDIOFeSX4wo+Pz1CQPyGjejk7yt0n+d5LLk1zUWvtyWDNrGSSM9en420BrFCQ4Bqekqv5+Rt8lH5fRyq77ZXSr8YWMVoX8eZL3Jnl3z3fLqvq+JD+Z0V3G7pfR9br+IslbW2vvXPtPwFoTJAAAAADdXGwRAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6CZIAAAAALoJEgAAAIBuggQAAACgmyABAAAA6PZ/AK9buQ8I1NAUAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "df['temp'].hist()" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -79,19 +47,21 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 81, "metadata": {}, "outputs": [], "source": [ "# Dropping columns not used\n", "\n", "sub_features = ['season', 'holiday','workingday', 'weathersit']\n", - "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)" + "df.drop(sub_features + ['yr', 'mnth', 'weekday'], inplace=True, axis=1)\n", + "\n", + "df_copy = df.copy()" ] }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 82, "metadata": {}, "outputs": [], "source": [ @@ -99,14 +69,17 @@ "\n", "from sklearn.preprocessing import MinMaxScaler\n", "\n", + "scaling = {}\n", + "\n", "for col in ['temp', 'hum', 'windspeed']:\n", " sc = MinMaxScaler()\n", - " df[col] = sc.fit_transform(df[col].values.reshape(-1,1))" + " df[col] = sc.fit_transform(df[col].values.reshape(-1,1))\n", + " scaling[col] = sc" ] }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -115,7 +88,7 @@ "" ] }, - "execution_count": 86, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" }, @@ -136,53 +109,6 @@ "df['temp'].hist()" ] }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [], - "source": [ - "# Scaling the data\n", - "\n", - "from sklearn.preprocessing import StandardScaler\n", - "\n", - "for col in ['temp', 'hum', 'windspeed']:\n", - " sc = StandardScaler()\n", - " df[col] = sc.fit_transform(df[col].values.reshape(-1,1))" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 89, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "df['temp'].hist()" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -199,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 84, "metadata": {}, "outputs": [], "source": [ @@ -216,38 +142,28 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 85, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "temp 13906.385697\n", - "hum -0.011202\n", - "windspeed -4637.831297\n", - "days_since_2011 0.170152\n", - "season_SPRING 0.001370\n", - "season_SUMMER -0.005088\n", - "season_WINTER -0.015343\n", - "holiday_NO HOLIDAY 0.000317\n", - "workingday_WORKING DAY 0.007459\n", - "weathersit_MISTY -0.001241\n", - "weathersit_RAIN/SNOW/STORM -0.000366\n", - "effect_temp -2.211217\n", - "effect_hum 4.350980\n", - "effect_windspeed -4.384535\n", - "effect_days_since_2011 0.899605\n", - "effect_season_SPRING 0.805641\n", - "effect_season_SUMMER 1.209261\n", - "effect_season_WINTER 2.555308\n", - "effect_holiday_NO HOLIDAY 0.466043\n", - "effect_workingday_WORKING DAY 0.965278\n", - "effect_weathersit_MISTY 0.686113\n", - "effect_weathersit_RAIN/SNOW/STORM 0.834564\n", + "const 1497.148579\n", + "temp 4175.879086\n", + "hum -1689.932626\n", + "windspeed -1381.678357\n", + "days_since_2011 4.926432\n", + "season_SPRING 473.715303\n", + "season_SUMMER -287.387420\n", + "season_WINTER -425.602853\n", + "holiday_NO HOLIDAY 686.115442\n", + "workingday_WORKING DAY 124.920938\n", + "weathersit_MISTY -379.398530\n", + "weathersit_RAIN/SNOW/STORM -1901.539915\n", "dtype: float64" ] }, - "execution_count": 82, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -255,14 +171,15 @@ "source": [ "import statsmodels.api as sm\n", "\n", - "model = sm.OLS(df['cnt'], df[features])\n", + "X = sm.add_constant(df[features])\n", + "model = sm.OLS(df['cnt'], X)\n", "results = model.fit()\n", "results.params" ] }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 86, "metadata": {}, "outputs": [ { @@ -280,10 +197,10 @@ " Method: Least Squares F-statistic: 251.2 \n", "\n", "\n", - " Date: Sun, 04 Dec 2022 Prob (F-statistic): 1.05e-237\n", + " Date: Sat, 10 Dec 2022 Prob (F-statistic): 1.05e-237\n", "\n", "\n", - " Time: 11:10:01 Log-Likelihood: -5993.0 \n", + " Time: 22:38:09 Log-Likelihood: -5993.0 \n", "\n", "\n", " No. Observations: 731 AIC: 1.201e+04\n", @@ -300,73 +217,43 @@ "\n", "\n", "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", + " \n", "\n", "
coef std err t P>|t| [0.025 0.975]
temp 1.391e+04 2094.125 6.641 0.000 9795.056 1.8e+04
hum -0.0112 0.002 -5.483 0.000 -0.015 -0.007
windspeed -4637.8313 698.398 -6.641 0.000 -6008.975 -3266.688
days_since_2011 0.1702 0.006 28.507 0.000 0.158 0.182
season_SPRING 0.0014 0.000 4.309 0.000 0.001 0.002 coef std err t P>|t| [0.025 0.975]
season_SUMMER -0.0051 0.002 -2.141 0.033 -0.010 -0.000const 1497.1486 324.587 4.612 0.000 859.897 2134.400
season_WINTER -0.0153 0.004 -3.840 0.000 -0.023 -0.007temp 4175.8791 265.667 15.718 0.000 3654.304 4697.454
holiday_NO HOLIDAY 0.0003 9.38e-05 3.375 0.001 0.000 0.001hum -1689.9326 308.226 -5.483 0.000 -2295.063 -1084.803
workingday_WORKING DAY 0.0075 0.004 1.705 0.089 -0.001 0.016windspeed -1381.6784 223.979 -6.169 0.000 -1821.409 -941.948
weathersit_MISTY -0.0012 0.000 -4.333 0.000 -0.002 -0.001days_since_2011 4.9264 0.173 28.507 0.000 4.587 5.266
weathersit_RAIN/SNOW/STORM -0.0004 4.31e-05 -8.503 0.000 -0.000 -0.000season_SPRING 473.7153 109.947 4.309 0.000 257.860 689.570
effect_temp -2.2112 0.487 -4.538 0.000 -3.168 -1.255season_SUMMER -287.3874 134.225 -2.141 0.033 -550.906 -23.869
effect_hum 4.3510 0.794 5.483 0.000 2.793 5.909season_WINTER -425.6029 110.820 -3.840 0.000 -643.172 -208.034
effect_windspeed -4.3845 0.855 -5.126 0.000 -6.064 -2.705holiday_NO HOLIDAY 686.1154 203.301 3.375 0.001 286.980 1085.251
effect_days_since_2011 0.8996 0.032 28.507 0.000 0.838 0.962workingday_WORKING DAY 124.9209 73.267 1.705 0.089 -18.921 268.763
effect_season_SPRING 0.8056 0.187 4.309 0.000 0.439 1.173weathersit_MISTY -379.3985 87.553 -4.333 0.000 -551.289 -207.508
effect_season_SUMMER 1.2093 0.565 2.141 0.033 0.100 2.318
effect_season_WINTER 2.5553 0.665 3.840 0.000 1.249 3.862
effect_holiday_NO HOLIDAY 0.4660 0.138 3.375 0.001 0.195 0.737
effect_workingday_WORKING DAY 0.9653 0.566 1.705 0.089 -0.146 2.077
effect_weathersit_MISTY 0.6861 0.158 4.333 0.000 0.375 0.997
effect_weathersit_RAIN/SNOW/STORM 0.8346 0.098 8.503 0.000 0.642 1.027weathersit_RAIN/SNOW/STORM -1901.5399 223.640 -8.503 0.000 -2340.605 -1462.475
\n", "\n", @@ -380,9 +267,9 @@ " \n", "\n", "\n", - " \n", + " \n", "\n", - "
Skew: -0.719 Prob(JB): 5.25e-43
Kurtosis: 5.079 Cond. No. 5.34e+19Kurtosis: 5.079 Cond. No. 5.56e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The smallest eigenvalue is 2.66e-30. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular." + "

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 5.56e+03. This might indicate that there are
strong multicollinearity or other numerical problems." ], "text/plain": [ "\n", @@ -392,52 +279,42 @@ "Dep. Variable: cnt R-squared: 0.794\n", "Model: OLS Adj. R-squared: 0.790\n", "Method: Least Squares F-statistic: 251.2\n", - "Date: Sun, 04 Dec 2022 Prob (F-statistic): 1.05e-237\n", - "Time: 11:10:01 Log-Likelihood: -5993.0\n", + "Date: Sat, 10 Dec 2022 Prob (F-statistic): 1.05e-237\n", + "Time: 22:38:09 Log-Likelihood: -5993.0\n", "No. Observations: 731 AIC: 1.201e+04\n", "Df Residuals: 719 BIC: 1.207e+04\n", "Df Model: 11 \n", "Covariance Type: nonrobust \n", - "=====================================================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "-----------------------------------------------------------------------------------------------------\n", - "temp 1.391e+04 2094.125 6.641 0.000 9795.056 1.8e+04\n", - "hum -0.0112 0.002 -5.483 0.000 -0.015 -0.007\n", - "windspeed -4637.8313 698.398 -6.641 0.000 -6008.975 -3266.688\n", - "days_since_2011 0.1702 0.006 28.507 0.000 0.158 0.182\n", - "season_SPRING 0.0014 0.000 4.309 0.000 0.001 0.002\n", - "season_SUMMER -0.0051 0.002 -2.141 0.033 -0.010 -0.000\n", - "season_WINTER -0.0153 0.004 -3.840 0.000 -0.023 -0.007\n", - "holiday_NO HOLIDAY 0.0003 9.38e-05 3.375 0.001 0.000 0.001\n", - "workingday_WORKING DAY 0.0075 0.004 1.705 0.089 -0.001 0.016\n", - "weathersit_MISTY -0.0012 0.000 -4.333 0.000 -0.002 -0.001\n", - "weathersit_RAIN/SNOW/STORM -0.0004 4.31e-05 -8.503 0.000 -0.000 -0.000\n", - "effect_temp -2.2112 0.487 -4.538 0.000 -3.168 -1.255\n", - "effect_hum 4.3510 0.794 5.483 0.000 2.793 5.909\n", - "effect_windspeed -4.3845 0.855 -5.126 0.000 -6.064 -2.705\n", - "effect_days_since_2011 0.8996 0.032 28.507 0.000 0.838 0.962\n", - "effect_season_SPRING 0.8056 0.187 4.309 0.000 0.439 1.173\n", - "effect_season_SUMMER 1.2093 0.565 2.141 0.033 0.100 2.318\n", - "effect_season_WINTER 2.5553 0.665 3.840 0.000 1.249 3.862\n", - "effect_holiday_NO HOLIDAY 0.4660 0.138 3.375 0.001 0.195 0.737\n", - "effect_workingday_WORKING DAY 0.9653 0.566 1.705 0.089 -0.146 2.077\n", - "effect_weathersit_MISTY 0.6861 0.158 4.333 0.000 0.375 0.997\n", - "effect_weathersit_RAIN/SNOW/STORM 0.8346 0.098 8.503 0.000 0.642 1.027\n", + "==============================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "----------------------------------------------------------------------------------------------\n", + "const 1497.1486 324.587 4.612 0.000 859.897 2134.400\n", + "temp 4175.8791 265.667 15.718 0.000 3654.304 4697.454\n", + "hum -1689.9326 308.226 -5.483 0.000 -2295.063 -1084.803\n", + "windspeed -1381.6784 223.979 -6.169 0.000 -1821.409 -941.948\n", + "days_since_2011 4.9264 0.173 28.507 0.000 4.587 5.266\n", + "season_SPRING 473.7153 109.947 4.309 0.000 257.860 689.570\n", + "season_SUMMER -287.3874 134.225 -2.141 0.033 -550.906 -23.869\n", + "season_WINTER -425.6029 110.820 -3.840 0.000 -643.172 -208.034\n", + "holiday_NO HOLIDAY 686.1154 203.301 3.375 0.001 286.980 1085.251\n", + "workingday_WORKING DAY 124.9209 73.267 1.705 0.089 -18.921 268.763\n", + "weathersit_MISTY -379.3985 87.553 -4.333 0.000 -551.289 -207.508\n", + "weathersit_RAIN/SNOW/STORM -1901.5399 223.640 -8.503 0.000 -2340.605 -1462.475\n", "==============================================================================\n", "Omnibus: 91.525 Durbin-Watson: 0.911\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 194.706\n", "Skew: -0.719 Prob(JB): 5.25e-43\n", - "Kurtosis: 5.079 Cond. No. 5.34e+19\n", + "Kurtosis: 5.079 Cond. No. 5.56e+03\n", "==============================================================================\n", "\n", "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "[2] The smallest eigenvalue is 2.66e-30. This might indicate that there are\n", - "strong multicollinearity problems or that the design matrix is singular.\n", + "[2] The condition number is large, 5.56e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", "\"\"\"" ] }, - "execution_count": 90, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } @@ -455,42 +332,45 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ - "# Extracting and storing the coefficients and standard errors in a dictionary\n", - "coef = results.params.to_dict()\n", - "std_error = results.bse.to_dict()\n", - "conf_intervals = results.conf_int(alpha=0.5).to_dict()" + "def get_model_stats(results):\n", + " \n", + " coef = results.params.to_dict()\n", + " std_error = results.bse.to_dict()\n", + " conf_intervals = results.conf_int(alpha=0.5).to_dict()\n", + "\n", + " for key, val in coef.items():\n", + " coef[key] = [val]\n", + "\n", + " t = pd.DataFrame(coef).T\n", + " t['std_error'] = t.index.map(std_error)\n", + " t.columns = ['coefficients', 'std_error']\n", + " t['lower'] = t.index.map(conf_intervals[0])\n", + " t['upper'] = t.index.map(conf_intervals[1])\n", + " \n", + " return t, coef" ] }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ - "# Converting the dictionary into Dataframe\n", - "\n", - "for key, val in coef.items():\n", - " coef[key] = [val]\n", - "\n", - "t = pd.DataFrame(coef).T\n", - "t['std_error'] = t.index.map(std_error)\n", - "t.columns = ['coefficients', 'std_error']\n", - "t['lower'] = t.index.map(conf_intervals[0])\n", - "t['upper'] = t.index.map(conf_intervals[1])" + "t, coef = get_model_stats(results)" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 89, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -532,7 +412,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ @@ -542,237 +422,7 @@ }, { "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
temphumwindspeedcntdays_since_2011season_SPRINGseason_SUMMERseason_WINTERholiday_NO HOLIDAYworkingday_WORKING DAY...effect_humeffect_windspeedeffect_days_since_2011effect_season_SPRINGeffect_season_SUMMEReffect_season_WINTEReffect_holiday_NO HOLIDAYeffect_workingday_WORKING DAYeffect_weathersit_MISTYeffect_weathersit_RAIN/SNOW/STORM
08.17584980.583310.749882985000110...-321.836179-245.6431080.0000000.0-0.0-166.5503811472.2148740.000000-552.965982-0.0
19.08346669.608716.652113801100110...-278.005468-380.5136455.2870750.0-0.0-166.5503811472.2148740.000000-552.965982-0.0
21.22910843.727316.6367031349200111...-174.639499-380.16151510.5741500.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
31.40000059.043510.7398321562300111...-235.809832-245.41345715.8612240.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
42.66697943.695712.5223001600400111...-174.513294-286.14422821.1482990.0-0.0-166.5503811472.214874129.406767-0.000000-0.0
\n", - "

5 rows × 23 columns

\n", - "
" - ], - "text/plain": [ - " temp hum windspeed cnt days_since_2011 season_SPRING \\\n", - "0 8.175849 80.5833 10.749882 985 0 0 \n", - "1 9.083466 69.6087 16.652113 801 1 0 \n", - "2 1.229108 43.7273 16.636703 1349 2 0 \n", - "3 1.400000 59.0435 10.739832 1562 3 0 \n", - "4 2.666979 43.6957 12.522300 1600 4 0 \n", - "\n", - " season_SUMMER season_WINTER holiday_NO HOLIDAY workingday_WORKING DAY \\\n", - "0 0 1 1 0 \n", - "1 0 1 1 0 \n", - "2 0 1 1 1 \n", - "3 0 1 1 1 \n", - "4 0 1 1 1 \n", - "\n", - " ... effect_hum effect_windspeed effect_days_since_2011 \\\n", - "0 ... -321.836179 -245.643108 0.000000 \n", - "1 ... -278.005468 -380.513645 5.287075 \n", - "2 ... -174.639499 -380.161515 10.574150 \n", - "3 ... -235.809832 -245.413457 15.861224 \n", - "4 ... -174.513294 -286.144228 21.148299 \n", - "\n", - " effect_season_SPRING effect_season_SUMMER effect_season_WINTER \\\n", - "0 0.0 -0.0 -166.550381 \n", - "1 0.0 -0.0 -166.550381 \n", - "2 0.0 -0.0 -166.550381 \n", - "3 0.0 -0.0 -166.550381 \n", - "4 0.0 -0.0 -166.550381 \n", - "\n", - " effect_holiday_NO HOLIDAY effect_workingday_WORKING DAY \\\n", - "0 1472.214874 0.000000 \n", - "1 1472.214874 0.000000 \n", - "2 1472.214874 129.406767 \n", - "3 1472.214874 129.406767 \n", - "4 1472.214874 129.406767 \n", - "\n", - " effect_weathersit_MISTY effect_weathersit_RAIN/SNOW/STORM \n", - "0 -552.965982 -0.0 \n", - "1 -552.965982 -0.0 \n", - "2 -0.000000 -0.0 \n", - "3 -0.000000 -0.0 \n", - "4 -0.000000 -0.0 \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 50, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -791,7 +441,7 @@ " 'effect_weathersit_RAIN/SNOW/STORM']" ] }, - "execution_count": 50, + "execution_count": 91, "metadata": {}, "output_type": "execute_result" } @@ -803,12 +453,12 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 92, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -840,7 +490,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 93, "metadata": {}, "outputs": [], "source": [ @@ -858,6 +508,264 @@ "# plt.grid();" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interaction Effect" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "# Creating a interaction effect of workingday and temperature\n", + "\n", + "df_copy['workingday_temp'] = df_copy['workingday_WORKING DAY'] * df_copy['temp']" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['temp',\n", + " 'hum',\n", + " 'windspeed',\n", + " 'days_since_2011',\n", + " 'season_SPRING',\n", + " 'season_SUMMER',\n", + " 'season_WINTER',\n", + " 'holiday_NO HOLIDAY',\n", + " 'workingday_WORKING DAY',\n", + " 'weathersit_MISTY',\n", + " 'weathersit_RAIN/SNOW/STORM',\n", + " 'workingday_temp']" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interaction_columns = [col for col in df_copy.columns if col not in ['weathersit', 'workingday', 'weekday', 'cnt', 'season', 'yr', 'mnth', 'holiday']]\n", + "interaction_columns = [col for col in interaction_columns if 'effect' not in col]\n", + "interaction_columns" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "X = sm.add_constant(df_copy[interaction_columns])\n", + "interaction_model = sm.OLS(df_copy['cnt'], X)\n", + "interaction_results = interaction_model.fit()" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "interaction_df, interaction_coef = get_model_stats(interaction_results)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: cnt R-squared: 0.796
Model: OLS Adj. R-squared: 0.792
Method: Least Squares F-statistic: 232.9
Date: Sat, 10 Dec 2022 Prob (F-statistic): 4.70e-238
Time: 22:38:11 Log-Likelihood: -5989.4
No. Observations: 731 AIC: 1.200e+04
Df Residuals: 718 BIC: 1.206e+04
Df Model: 12
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 1937.9905 329.281 5.886 0.000 1291.521 2584.460
temp 125.4363 8.895 14.102 0.000 107.973 142.899
hum -17.5037 3.156 -5.546 0.000 -23.700 -11.307
windspeed -42.0682 6.864 -6.129 0.000 -55.544 -28.592
days_since_2011 4.9307 0.172 28.654 0.000 4.593 5.268
season_SPRING 467.2725 109.499 4.267 0.000 252.297 682.248
season_SUMMER -289.4902 133.648 -2.166 0.031 -551.877 -27.103
season_WINTER -426.5500 110.342 -3.866 0.000 -643.182 -209.918
holiday_NO HOLIDAY 674.4010 202.471 3.331 0.001 276.895 1071.907
workingday_WORKING DAY 451.8710 141.699 3.189 0.001 173.678 730.064
weathersit_MISTY -382.1347 87.181 -4.383 0.000 -553.296 -210.974
weathersit_RAIN/SNOW/STORM -1898.2107 222.679 -8.524 0.000 -2335.390 -1461.032
workingday_temp -21.7967 8.099 -2.691 0.007 -37.696 -5.897
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 92.795 Durbin-Watson: 0.904
Prob(Omnibus): 0.000 Jarque-Bera (JB): 196.738
Skew: -0.729 Prob(JB): 1.90e-43
Kurtosis: 5.081 Cond. No. 4.72e+03


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 4.72e+03. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: cnt R-squared: 0.796\n", + "Model: OLS Adj. R-squared: 0.792\n", + "Method: Least Squares F-statistic: 232.9\n", + "Date: Sat, 10 Dec 2022 Prob (F-statistic): 4.70e-238\n", + "Time: 22:38:11 Log-Likelihood: -5989.4\n", + "No. Observations: 731 AIC: 1.200e+04\n", + "Df Residuals: 718 BIC: 1.206e+04\n", + "Df Model: 12 \n", + "Covariance Type: nonrobust \n", + "==============================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "----------------------------------------------------------------------------------------------\n", + "const 1937.9905 329.281 5.886 0.000 1291.521 2584.460\n", + "temp 125.4363 8.895 14.102 0.000 107.973 142.899\n", + "hum -17.5037 3.156 -5.546 0.000 -23.700 -11.307\n", + "windspeed -42.0682 6.864 -6.129 0.000 -55.544 -28.592\n", + "days_since_2011 4.9307 0.172 28.654 0.000 4.593 5.268\n", + "season_SPRING 467.2725 109.499 4.267 0.000 252.297 682.248\n", + "season_SUMMER -289.4902 133.648 -2.166 0.031 -551.877 -27.103\n", + "season_WINTER -426.5500 110.342 -3.866 0.000 -643.182 -209.918\n", + "holiday_NO HOLIDAY 674.4010 202.471 3.331 0.001 276.895 1071.907\n", + "workingday_WORKING DAY 451.8710 141.699 3.189 0.001 173.678 730.064\n", + "weathersit_MISTY -382.1347 87.181 -4.383 0.000 -553.296 -210.974\n", + "weathersit_RAIN/SNOW/STORM -1898.2107 222.679 -8.524 0.000 -2335.390 -1461.032\n", + "workingday_temp -21.7967 8.099 -2.691 0.007 -37.696 -5.897\n", + "==============================================================================\n", + "Omnibus: 92.795 Durbin-Watson: 0.904\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 196.738\n", + "Skew: -0.729 Prob(JB): 1.90e-43\n", + "Kurtosis: 5.081 Cond. No. 4.72e+03\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 4.72e+03. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interaction_results.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [], + "source": [ + "temp = interaction_results.params['temp']\n", + "workingday = interaction_results.params['workingday_WORKING DAY']\n", + "working_day_temp = interaction_results.params['workingday_temp']\n", + "intercept = interaction_results.params['const']" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABCQAAAKzCAYAAADGJdzIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAB7CAAAewgFu0HU+AADYX0lEQVR4nOzdd3hTZRvH8e/pbill7y177w1lCiKiojhxKzhAhoIgioALBBzgQMUB4uBFBEW2zLKHIHvvvaEtdOe8f6QNoSTpgKZN+/tcVy9O8tznyZ2eAj13nmGYpomIiIiIiIiIiDt5ZXYCIiIiIiIiIpLzqCAhIiIiIiIiIm6ngoSIiIiIiIiIuJ0KEiIiIiIiIiLidipIiIiIiIiIiIjbqSAhIiIiIiIiIm6ngoSIiIiIiIiIuJ0KEiIiIiIiIiLidipIiIiIiIiIiIjbqSAhIiIiIiIiIm6ngoSIiIiIiIiIuJ0KEiIiIiIiIiLidipIiIiIiIiIiIjbqSAhIiIiIiIiIm6ngoSIiIiIiIiIuJ0KEiIiIiIiIiLidipIiIiIiIiIiIjb+WR2ApI2hmH4AzUTH54DEjIxHREREREREcn+vIFCicfbTNOMuR2dqiDheWoCGzI7CREREREREcmRGgIbb0dHmrIhIiIiIiIiIm6nERKe51zSwfr16ylWrFhm5pJmUVFRhIWFARAaGkpgYGAmZyRpoevn2XT9PJuun2fT9fNsun6eTdfPs+n6ZQ2nTp2iUaNGSQ/PuYpNCxUkPI9tzYhixYpRsmTJzMwlzaKioihYsCAAJUuW1D8oHkbXz7Pp+nk2XT/Ppuvn2XT9PJuun2fT9cuSbts6hpqyISIiIiIiIiJup4KEiIiIiIiIiLidChIiIiIiIiIi4nYqSIiIiIiIiIiI26kgISIiIiIiIiJup4KEiIiIiIiIiLidChIiIiIiIiIi4nYqSIiIiIiIiIiI26kgISIiIiIiIiJu55PZCUjmsFgsREZGEh4eTmxsLAkJCW573QIFCgBw9OhRvLxUE/Mkun6eTdfPvby9vQkKCiJv3rwEBARkdjoiIiIiWY4KEjlQREQEJ06cwDRNt7+2aZoEBgYCkJCQgMVicXsOkn66fp5N18+94uPjiYmJ4dKlS+TJk4dixYphGEZmpyUiIiKSZaggkcM4KkYYhoG3t7fbckj6hdzHRz9+nkjXz7Pp+rlPfHy87fjKlSv4+flRsGDBTMxIREREJGvRb6Q5iMViuaEYERwcTP78+QkKCnLbp3YWi4Xw8HAAQkJCNGTcw+j6eTZdP/dKSEjg8uXLnD17FoBz584REhKCn59fJmcmIiIikjXot9EcJDIy8oZiRMmSJcmVK5eGEIuIZABvb28KFChgW7cDrP8Oi4iIiIiVChI5SNInowD58+dXIUJExA1CQkJsx1evXs3ETERERESyFhUkcpDY2FjAOoc8KCgok7MREckZ/P39bQXgpH+HRURERMTNBQnDMEobhjHCMIyNhmGcMwwj2jCMY4ZhrDAM413DMGqkcH4nwzBmGoZx3DCMmMQ/ZxqG0SkNOfgYhvFS4mueMwwjyjCMA4ZhfGMYRvU09FMwMeethmGEJ35tTXyuQMo9uF/S1p7e3t4aHSEi4ib2CwdrZxMRERGR69y2qKVhGK8CI4FcyZpKJn61AEKAfg7O9QK+BZ5P1lQi8et+wzC+A140TdPpb3uGYRQE5gINkzXdAfQEnjYMo7dpmt+l8F4aA38CRZM11Uz8esEwjPtN01zvqh8RERERERGRnMotIyQMw3gbGI+1GLEXGAi0BuoC7RMfrwacFRM+4HoxYjPwGNAo8c/Nic+/ALzvIgdvYCbXixEzgE5AY6APcBbwB75xNeLCMIxSwN9YixHxwGggNPFrdOJzxYC/DcMo6awfERERERERkZwsw0dIGIbRDngv8eFPwAumacYlC1sMjDUM46a90AzDqAQMSHy4EQg1TTMq8fEGwzBmAcuBBsBAwzB+ME1zv4NUnsY6CgPgK9M0e9m1rTcMYx7wL9ZRGuMNw6hqmmZ88k6wFkcKJR4/bprm73ZtKwzD+Bf4H1AYa4HkGQd9iIiIiIiIiORoGTpCInGqxYTEh1uA5x0UI2xM03S02lc/rhdOXrUrRiSdcw14NfGhD9DfSfdJRY2LWEdkJH/t/VinlABUALomjzEMoyjQPfHhgmTFiKR+pgELEh8+mXiOiIiIiIiIiNjJ6CkbHYCKiccfORlx4JRhXXnxvsSHu03TXOsoLvH5PYkP7zOSrdiYOMqiauLDaYlFDEcm2R3fVJAA7uX69+xHF6kn9eOVeI6IiIiIiIiIQ3EJOXPh64wuSDyU+KcJzE560jCM/IZhVDQMI38K55cDiiceL08hNqm9BFA2WVsLB3E3MU3zNNY1LgCaOwhJVT/J2hz1IyIiIiIiIjmYxWJy35erKDt4DnXf/Yevlx/I7JTcLqMLEk0S/zxsmmaEYRiPG4axDbiA9cb/gmEYewzDGGAYhr+D86vZHe9O4bXs26sma0tPP6UMw0i+I0hSP1cSixcOmaZ5Cgh3kovkEMuWLcMwDNvXI488kuI5zzzzjC0+NQ4cOMC7775L8+bNKVGiBP7+/hQsWJBatWrRp08fVqxYcatvg169etly2rp1q8vY/v3722JDQ0NdxsbExBAYGIhhGDRu3Nhl7KlTpxg7dixt27alVKlSBAQEkD9/fqpWrcoLL7zA3LlzU/Ve7L+/9l9eXl7kzZuXmjVr0qNHD9audTgY6waTJk2ynT9p0iSXsbt376Z48eK2+JEjR9raDh8+bHv+mWeecXh+2bJlbTG5c+fm/PnzLl/P/mcvpdwATNNk/vz59OnTh3r16lG0aFH8/PzInTs3ZcuWpXPnzrz77rvs3Lkzxb5SYv9e7L+Cg4MpUaIEtWvX5qmnnuLzzz/nxIkT6XqNq1evkjt3blvfH374ocM4+5/tX375JVV979+/n6CgIAzDoG7dusTHp2ngn4iIiAgAK/ad444hc9ly7DIAkTHxjJ6/mxOXo1yfmM1k2KKWietHVEl8eN4wjHFYd7NIrhIwBuhqGEZn0zQv27XZ71JxPIWXPGZ3XCpZW3r6MRLP22PXltRPSn0k9VPdQS4upWJnDtuaFFFRUURFpf4H1mKxYJqm7Tgz2L9uZuXgLsnf3++//86QIUOoWbOm03OSro+j8+3FxMTw5ptv8tVXXxEXd+OyLBcuXODChQts27aNzz//nE6dOvH1119TsmT6Nn1p3rw5X331FQBhYWGULVvWaX72BZD169cTFRWFv7+jWiOsW7eO6OhoAFq2bOmwP9M0GTVqFCNHjuTq1as3tMXExHDp0iV2797N999/T5MmTfj222+pXr260/di//1N/vyVK1e4cuUK27dv57vvvqNXr16MGzfOaXEo+c+ys+u1Y8cO7rzzTs6cOQPA2LFj6d+/vy3e/jzTNFP8exEZGcmoUaMYPXq00xhnuTn6+7dq1Sr69u3L5s2bSS4uLo7IyEiOHDnC3LlzGTZsGC1atODDDz+kefPbO/jr6tWrXL16lZMnT7J161amTJlC//796dKlCx9//LHt5y41fv/9dyIjI22Pp0yZwuDBg2+K+/DDD5k9ezZHjx6lX79+tG/fnkKFCt0Ul8Q0TXr06EFUVBQ+Pj589913eHl5pfrfsqTrm5Z/t+0l/X1JfiyeQdfPs+n6eTZdP8+W3a5fbIKFjuPXcDo85qY2iwkx0dGk81eFDJXe319SkpG7bOTh+giMmli32zyFdUHJuUB04nMfYR1J0Qz4AXjAro/cdseRuGZ/txKcrO1295NSH/b9JO8jJcdSDrEKCwujYMGCqe64QIECtk+kw8PDUz4hg9nfMGRH167duFSJaZq8/fbbTJkyxek59sUFZ9coIiKC7t27227+8+XLx+OPP05oaCiFCxcmPDyczZs388svv7Bv3z7mzZtH06ZNmTFjBpUrV07z+6hbt67teNmyZTz11FPAzdcvIiKC//77DwBvb29iYmJYtmwZTZs2ddjvokWLbMf169e/6f3GxcXx0ksvMWPGDAACAwN59NFHad++PcWKFePatWvs2LGDqVOnsnnzZtauXUvLli359ddfadasmcPXtP/+/vHHHxQtaq3vJSQkcPToUZYtW8akSZOIj4/nyy+/pHDhwvTp46iOevN/jo6u17Zt2+jatSsXLlzAMAxGjRrF888/f0Os/fcxLi7OYT/Jb3i/+uorevToQZEiRRzmZv+z5yy3yMhIfv31V/r162f7vtSpU4fOnTtTu3ZtChYsSFxcHGfPnmX9+vX8888/7N69m5UrVzJixAimT5/u8LVTkvReihUrdkMf8fHxXL58mWPHjrF+/Xr+/PNPwsPD+fPPP1m8eDHffPMNnTo53ZH5BkmjQoKDg4mMjGT37t0sXbqU+vXr3xT78ccf89BDD3H+/HleeeUVvv/+e6f9Tp48mWXLlgHQu3dvypcvn+p/S+Pj421F5N27Uxqol7KwsLBb7kMyj66fZ9P182y6fp7N06/fyWvw0Rbnt+DNClvYti6MbW7MKbVSGqGbXhk5ZcN+ukMAcA1oY5rmL6ZpXjJNM8o0zTCgLdYdOMA6SqJxsvOSONqBw559iSkwWdvt7ielPuz7Sd6H5EAFChQAYPbs2SlOe0iJ/VSMli1bsm7dOt5//306dOhAnTp1CA0NpW/fvqxatYpevay72548eZLHHnuMiIiINL9esWLFKFeuHIDLqQzr168nISGBfPny0apVKwBWr17tNH7NmjUAeHl5OSxavPfee7ZiRLVq1Vi9ejWffPIJd999N3Xr1qV58+b07NmTxYsX895772EYBleuXOGJJ55I1VD/ChUqUK1aNapVq0bNmjXp3LkzY8aM4aeffrLFfPLJJzeNQEmt//77j/vuu89WjPjkk0/o2bNnuvpKkvRzFBUVxaeffnpLfS1btoxXX32VuLg4goODmTRpEkuXLmXAgAHceeed1K1bl0aNGnHPPffw7rvvsmbNGqZOnUrVqrdnFpqPj4/t+1+tWjVq1apFaGgo3bt3Z9y4cezYscP28xsREcHzzz/vcBRHcidOnLD9/Rg0aBB58+YFYOrUqQ7j27dvz6OPPgrAjBkzmD9/vsO4U6dO8c477wBQsWJFBg0alKb3KyIiIjlXvAXmHTMYu9XbaUyrohYeKZ+9R5A7kpEjJJKPp/nONM09yYNM04wyDOMtri96+QiwzkEffim8nv248OTjSZL342qsT0r9BKUiF/t+0jq2JaUpHkWBDQChoaFpGoZ/9OhREhIS8PHxISQkJI1p3R4Wi8X2iXBwcDBeXhm9jEnmCQoKsh336dOHDz/8kJiYGEaPHs2sWbMcnuPr62s7dnSNpk2bxp9//glA7dq1mTt37g2vk9z48eOJjo7m+++/59ChQ4wcOZIvvvgize8lNDSUQ4cOcerUKQ4dOkS5cuVuun6bNm0CoFmzZjRu3JglS5awYcMGh+/DYrGwYcMGAGrUqEHp0qVvaF+7dq0tz+LFi7N48WIKFy7sNL8hQ4YAMHToUC5dusTAgQOZPXv2TXH239/g4GCHuT3yyCN89dVXrFy5kitXrrBv3z6aNGlyU1xAQMANx/Z9rVu3jq5du3L58mW8vLyYOHGi0/UhgoOvD6Ly9fV1mFPS97lGjRoEBQUxb948Jk+ezFtvvUWJEiVuirf/mbDPLenv39WrV3nxxRexWCz4+Pgwb948p6NK7D300EN06dKFv//+O93/hiS9Fy8vL5d9hISEMH78eEqWLMmbb75JVFQU/fv3t/2cOTNhwgTb++rRowdHjx5l4sSJzJw5ky+++OKGn4Ekn3/+OUuXLuXMmTMMGDCAu+6666bcnn76acLDwzEMg++++87lz6Mj586dIzAwkODgYIcjNVIjOjra9slQaGjoDT+DkvXp+nk2XT/Ppuvn2Tz9+pmmSfcfN7H5+BWnMctfa07h3I6nOWcVx4+nZtWCtMvIgkTyj2IXuohdDMRjzaehkz5SmvpgPyIj+VyA5P24Kkik1E9QKnKx7ydN8xJM03R5pe3nswcGBhIYmPoBGPZznbNCIcDLyytL5JFR7N9b6dKl6dmzJ59//jlz5sxh48aNNGrU6KZz7K+vo++N/boB33777Q03s8588sknzJ49mzNnzvDjjz8yYsQIl/PkHWnVqhWTJ08GrCMbypUrd9P1W7lyJWD9jyLpvdmPgrC3detWrly5YotP3j5mzBjbeg+ffvqpbWqFK4MHD+Z///sf27dvZ968eWzfvp1atWrdEJP8++vs569mzZq293PixAmHcfbP2fe1evVqOnXqRHh4ON7e3kyePJnu3bs7zdu+n6QFNl157733mDdvHtHR0YwcOdK2vkdqcksyZcoUzp49C0Dfvn1p0aIFqRUUFJSqBVpTIzV//wcNGsSff/7JunXr2LJlC/Pnz+fuu+92Gv/zzz8D0KFDB4oUKcJTTz3FxIkTuXDhAvPmzeP++++/6ZyCBQvyxRdf8NBDD3HixAkGDRrEN998Y2v//fffbUXEXr16pbhgqzNJ1zct/247ExAQcFv6kcyh6+fZdP08m66fZ/PU6/dAvZJsPnZzQWJgx8r0alMhEzJKu4z6vmfY3aBpmjHAObunnK6NYJpmNJA0KcX+Tsn+5jyloQD2IwuSv1Z6+jG5efHKpMepGZaQ1E+q14SQ7O3NN9+0/UUeOnRoms/funWrbch606ZNHRY0HAkJCeHZZ58FrBXm3377Lc2vbX8D5mgaRkxMDOvXrwegRYsWNG7cGF9fX8LDw23rStizX/wy+c3dpUuXbDd/JUuWpFu3bqnK0cfHh969e9sep2Z3CWf8/K4PgnL0ibozYWFhdOzYkfDwcHx8fPj1119dFiPSo379+tx3330AfP/99xw5ciTNfST9DBiGwauvvnpb87vdDMOgb9++tsdJI4Qc2bhxo20nkCeeeAKwLsqaNOXIfjpOct26daNr164ATJw40bZWxKVLl2zfozJlytywQ4qIiIiII2sOXODJ79dxLda6G1f3xmVoWDYfAN5eBi+3Ls/u9+7ymGJERsroj6d32B07nzBzY7v9Hmr2e8xVwTX79l3J2tLTzzHTNK8ma0vqJ49hGE4/sjUMoxiQNN43eS6SQxUrVoyXX34ZgIULF9o+gU8t+0V8unTpkqZz7733XttxerYCLV++PMWLFweuj3qwt2HDBqKjowkICKBBgwYEBgZSr149p6/nqiCxatUq20ieu+++O02jaG71fSbZtev6X9vU7u6wZMkSOnXqRGRkJH5+fvz+++88/PDD6c7BlREjRmAYBrGxsbz33ntpOjdpJxGAqlWrUqZMmYxI8bZq37697djVdU0qOOTOndtWtDEMg8cffxyAOXPmcPHiRafnf/XVV+TLlw/TNHnhhRds00SSdkj55ptvUjUqSURERHKm8Og43pyxjccmrmXFvvN8vHAvAF5eBqMerEXd0nn5q1dzBt1VhQDflG6Pc4aMLkjYL4N6h7MgwzBCgKTtIuxXozsEnEw8bpXCayXd1ZwADidrs7/zc9pPYpGhUuLDVQ5CUtVPsjZH/XiEC5Ex6f6Kjktw2u+la3FcvBaXrn6TqoyOXL4Wm6a+MsOgQYPIlcs6mydpgbzU2rJli+046WY/terUqWO7sbfvJy1atmwJwMGDB203aEmSbhIbNWpkG12QNA3AVUGiUqVKN+0UcSvvs1ixYrbpHeldPHTjxo22HUAqVqx407QPRxYtWsQ999zDtWvX8Pf3Z8aMGQ6nBtwutWvXto0cmTx5MgcOHEj1ubt27bIVfNL6/c0shQoVsq2Xs3//focxcXFxtoUru3btesM6GkmjJWJjY50ubglQtGhRPv74YwAOHDhAly5dbFOVnn76aTp27Hjrb0ZERESypTdnbKPW8IX8tv6o7bkfVh1i09FLAJQvFMyMl5tRo0SezEoxS8rINSQA/gCS7rq6Jj52pCuQNLnbdvdimqZpGMZfwMtAFcMwmpimedMy/4ZhNOH6yIa/zKTJ59f72WsYxi6gKvCwYRivm6Z5LXk/wDN2xzMdtM8CJmAt5DwL/M/J+0nqx5J4jkeq//6ilIOcePe+6jzVtKzDtgcmbuJSlPPCgit921Wk/52VHLY99PUa9p1N/ZIdh0d1TlcOt6Jw4cL07t2bjz76iKVLl7J06VLatGmTqnPtt9pJzZoK9gIDA8mdOzdXrlzhwoULaTo3SWhoKP/7n/VHfs2aNVSsWNHWllRgsF+LoEWLFnz88cc3jQTZv38/p0+ftvWZ3K28T4AiRYpw+vRpYmNjiYiIIHfu3Cmek5CQwOHDh1m4cCFDhw7FYrHg7e3NmDFjUjVC45dffrEdz5w5M9XbU96K4cOH88cffxAfH8+7775ru3FOif0IgZTWEtm1axcJCY6Li+XKlbMV19yhQIECHD9+nPj4eMLDw29adHLevHmcO2edJZhUgEhSpUoVGjRowMaNG/npp5945ZVXnL7Os88+y2+//cY///zD4sWLAevP4a3uaiIiIiLZ074zEdz5qePtSE0Tpq4/Sr3S1uka9uuZiVWGjpAwTXMrMC/x4WOGYbRLHpM4KuH9xIexwI/JQj4Dkn4j/twwjBtW00h8/Hniw/jEeEfGJv6ZHxidvNEwjPLAm4kP9+OgIGGa5mkg6c6jo2EYN01uNwzjISDpY7QpieeI2AwcONB2k5yWtSTst+xMz7DxpHPCw8PTfC44X0fCYrGwapV1IFDyggTAmTNn2LPn+gY7rqZrwO17n+D6vZYrVw7DMDAMAx8fHypUqMArr7zChQsXqFixIjNmzLAN+0+J/X8uM2fOJFlNNENUq1bNtl3lL7/8csP32BX7729KBYWmTZtSs2ZNh19Ju6S4i/11dbR9bdJ0jWLFitGu3U3/1diKFOvWrWPfvn0uX2vixIk3vN4XX3xBvnz50pW3iIiIZE+mafLcpA1OixFBft6MuLc6ox5IebRtTuaOLQ76AZcTX2u2YRgjDcNoaRhGA8MwXsG6hWXSIpFDTdO0n7KBaZp7gTGJDxsAqwzDeCTx/EewTolokNg+xjRNZ79pTub69IlehmFMNwyjo2EYjQzD6A2sxrrugwXoY5qms4/w3+L6Yp2/GYYxyjCMFolfo4BfE9vOAW+7/M5IjlSgQAH69esHWNdLWLBgQarOs/+kP2nr1LRIOie92zVWr16d/PnzAzeuI7FlyxbCw8Px8vK6YevIggULUqWKdeCSfRHC/jhpGoi92/U+IX3v1TAMHnnkEe65555UnzNkyBCKFSsGWG9mk65vRhs2bBje3t4kJCQwfPjwVJ1j//29ejX5MjlZl30RIvl1vXTpEn///TcAjz32mMNRLY899hje3ta5mq4WtwTr4pX2W3M++OCD6c5bREREsp9NRy9R7s25LNl91mnMgn6hPN2sLF5eGhXhSoYXJBILCl2AM0AAMBjr2hIbgC+xFiNM4H3TNG8auZDoLeCHxOO6wNTE86cmPgb4HhcFANM0E4D7E88DeBCYD6zDOsKiMBADvGia5jxHfST2cyzx/ZzGOuVlENZpJisSj30S27qktIWn5FyvvfYaefPmBaw3lalRsGBB23HSlIfUioqKst3QFShQIE3nJjEMg+bNmwOwc+dO27adSQWGmjVrkifPjXPiHK0jkXRcqlQphwtG3sr7BGzrW/j5+bmcrrFgwQK2bdvGtm3bWLNmDT/88AN16tTBNE3ef//9NO0+UaFCBRYvXmybAjF+/HjefPPNFM66dZUqVeLJJ58EYNq0aezYsSOFM7jhk/6kKQ7OXL58GdM0bV+p/VnNCElTeXx8fG66rlOnTiU2Nha4ebpGksKFC9OhQwfAujWoO0axiIiISPaSYDHpPH4FD3x1865zSZreUYBDI++mVP4gpzFyXUavIQGAaZorDcOoDryKtShQDvADTgHLgM9N09zs4nwL8LxhGH8APYGGWBfBPI+1wPCNqyKCXT/nDcNoBvQAHse6pkQurAtnLgbGmaaZ4m/0pmmuMwyjJtA38f2UTWw6BPwFfGaaZvom6mch/77dPuUgJ3L5O//RmtGjHiaQOzg4TTsoAAT6OV+N9veXmpJg8YybjLx58/Laa6/xzjvvsG7dOmbPnp3iJ/L2iytu3rw5TQvs/ffff7aFDGvXrp2+pLFOsfj777+xWCysXLmSLl262Hb/sJ+ukaRFixZ89913tpjTp0/bFiV0NF0Dbn6faXHq1ClbESOlxSgrVap0Q0GkSZMmPPHEE9xzzz0sXLiQr776ivbt29u2gkxJ1apV+eeff2jTpg2XLl1i1KhRBAUFpWuL17QYOnQoP//8M/Hx8QwbNozp06e7jK9WrRpeXl5YLJY0f38zy9mzZzl50rq+ceXKlW9qtx/xkJqFOg8fPkxYWBitWqW0VrKIiIiI1dI9Z3n2R9dTVuf2aUm14ukbjZxTuWPKBgCmaV4wTXO4aZp1TNPMY5pmoGmad5im+ZyrYkSyPuaapnm/aZolTNP0T/zz/tQUI+z6iDdNc4Jpmi1N0yyYmEd50zR7pqYYYdfPedM0h5qmWdM0zdyJX7USn/P4YgRAgWD/dH+52sYmX5Av+YN809VvkJ/zQkfeIL809ZXZ+vXrZxutkJpPnu1v4GfNSttaqfbxzgoBqWE/xSJpscqkPx1Nv0gqUhw+fJjjx4/fsHWpszxatGhhK1TNmTPHVkhJjVt9n76+vkyaNMn2CfyAAQOIi4tL9fm1a9dm/vz5tvPfeecdPvnkkzTnkRZ33HEHzz77LAAzZszgv//+cxmfJ08eatSoAVgXrTx69KjL+Kzgn3/+sR0nL3zt27ePtWtvWus4RSlN2xAREREBiE+wMHzWDpfFiPvrFOfwqM4qRqSD2woSInKj3LlzM3DgQAA2bdrEzJmONna5rnbt2tSpUwewruGwcePGVL1OREQEkyZNAiAgIMC2EGJ61K1b17bY38qVK9m7d69tioSjERLly5e3ra2wYsWKFBe0BOuUgnvvvReA48ePM2PGjFTllpCQwFdffWV7/Mwzz6TqvOSKFStG3759AesWp99//32azm/UqBFz5syxbTv5+uuvM2HChHTlklpvv/02fn5+qZ5WkfQzYLFY+PLLLzM0t1tlmibjx4+3PU4+YsW+sDBhwgR+++03l19J0zamT59OVFSUe96EiIiIeKRdp8J5YMJqJq0+7DQmbGAbPnu0rtN2cU0FCZFM1Lt3bwoXLgxYR0mkNK990KBBtuOePXum6oZq4MCBtmkMzz33XIpbPbri4+NDw4YNAdi4caNtQc6yZctSokQJh+ckrTsRFhZmK0gULlzYtuCls5yTdq7o37//DVuBOjNmzBi2bt0KwN13303NmjVT+a5u1r9/f1vhZdSoUcTHp22b2pYtW/LXX3/h728didOrV69Ub8uZHqVLl6ZHjx6AdZRISjtgPPXUU7afg08//ZR169ZlWG636qOPPmL9+vWAdTqG/VQl0zT5+eefAahRowYvvfQSjz76qMuvl19+GbDuwPLnn3+6/f2IiIiIZ/hn5xm6fL6SrcevOGzvGXoHh0d1pnQBrRVxK1SQEMlEuXLlshUZtm3bxty5c13GP/roozzwwAOAdX2Fe++91+nChHFxcbzxxht88803gHW0wqhRo24556SdNGJjY/nss88Ax9M1kiSNnJg3bx7btm1LMT7pNfr37w9YR0m0b9+ew4cPO4w1TZPPPvuMIUOGAJA/f37be06v/Pnz89JLLwFw5MgRpkyZkuY+2rdvzx9//IGvry+mafL8888zbdq0W8rLlSFDhhAQEADA6NHO1ge2ypUrF5MnT8bLy4u4uDg6dOiQqpvzS5cu3Y5UUyUyMpIBAwbYFgcNCgriu+++uyEmLCzM9nPRrdtNuzA7dNddd9mKTZq2ISIiIs40Kpef/Ln8HLZteKs9Q+6u6uaMsie3LGopIs69/PLLjB07llOnTqVqJMAPP/zA+fPnCQsLY9GiRVSpUoXnnnuOtm3bUqRIEcLDw9m4cSPff/89u3fvBqBkyZLMmjXL5a4TqdW0aVPb8cGDBwHH0zWSJLUdOXLE9lxq1ncYOXIkx44d4/fff2fLli1Ur16dp59+mrvuuosSJUpw7do1tm7dyuTJk20jAvLkycOff/5JyZIlU+g9Za+//jpffPEF0dHRjBo1iqeffjrNi7B27tyZX3/9lUcffZSEhAS6d+9OQECAbUrK7VS8eHFeeuklPvvss1T9HHXs2JFvvvmGV155hfDwcLp27UrDhg3p2rUr9evXt61vcv78ebZs2cKMGTNuGEkRGBh4S/nGxcWxffv2Gx5fvnyZw4cPs3r1aqZPn87ly5cB63X95ZdfqFv3xuGQ9gWF1G7NGRAQwN133820adP4559/OH36NEWLFr2l9yIiIiKe71psPB8v3Ev14iE8UK8keQJ9ef/+GvSc8i8A5QvlYnS3WtQvkz+TM81eVJAQyWSBgYEMGTIk1dtM5smThwULFvDGG28wYcIELl68yNixYxk7dqzD+Lvuuotvv/2WUqVK3ZZ869evj7+/PzExMbbnXBUk6tSpQ3BwMJGRkbbnUlOQ8PPzY+rUqdSoUYOPPvqIa9euMWHCBKfrMTRp0oSJEyfaFmy8VUWLFuW5557jq6++Yu/evfzvf//jscceS3M/3bp1Y9KkSTz99NPEx8fz8MMPM2vWLNtaBrfT4MGD+fbbb7l27Vqq4l944QUqVapEnz592LJlCxs2bEhxukfTpk0ZPXo0jRs3vqVcT548meK0Gh8fH+69914++eQTypQpc0NbVFSUbUeRypUrp+m6d+vWjWnTppGQkMAvv/zC66+/nvY3ICIiItnGqv3nGTxjK8cuRpEn0JeWFQtRKLc/HaoXpWvdEpTIG0jvthVcLtwv6aMpGyJZQI8ePdJUMAgICGD8+PHs2rWLYcOG0aRJE4oWLYqvry/58+enRo0a9OrVi+XLlzNv3rzbVoxIem37T6oLFChA1arOh6x5e3vfMKoiT548KW7JmcTLy4t33nmHffv28dFHH9G6dWtKlCiBn58fefLkoXLlyjz33HPMnj2bNWvW3LZiRJI33ngDX19fAD788MMU1/hw5oknnuDrr7/GMAxiYmK4//77b9hx5HYpUqQIvXv3TtM5oaGhbN68mblz59KrVy9q165N4cKF8fX1JTg4mNKlS3PXXXfxzjvvsG3bNlavXu2yAJVeQUFBFCtWjJo1a/LEE08wfvx4jhw5wh9//HFTMQLgzz//JDw8HEj96Igkd999t22Eh6ZtiIiI5FzHLl6j7OA5dP9uHccuWtdmuxIVx7BZ10dxfvJwbQZ0rKxiRAYx0vsLtmQOwzBKAscAjh07lqah6fv27SM+Ph4fHx8qVqyYUSm6ZLFYbDcRISEhaR4CL5lL18+z6fplntvx729UVBQLFy4EoEOHDrc8bUbcS9fPs+n6eTZdP8+WUddvwO9bmP7vcYdtfj5eLOwXStmCuW7La2UHx48ft/+Qs5Rpmo6/eWmkKRsiIiIiIiKSI+w+Hc5dn61w2t6obH5GPVhTxQg3UUFCREREREREsjXTNHnqh/Ws2Od88e/hXarxVNOyeHkZbswsZ1NBQkRERERERLKtjYcv0u3rNS5jpr/UlAZltYOGu6kgISIiIiIiItlOfIKFu8evYO+ZSKcxLSsW5KfnGmEYGhWRGVSQEBERERERkWzl4LlI2n683GXM/H4tqVI0xE0ZiSMqSIiIiIiIiEi2EJ9gYeKKQ3y6aK/TmG71SzL2odpuzEqcUUFCREREREREPF6CxeThb9aw6ehlpzEr3mhDqfxB7ktKXNIm9CIiIiIiIuLxvL0MQisVctj2SuvyHB7VWcWILEYFCREREREREfFI/x65SK9fNxGXYAHgldYVqFwkNwCGAc+3KMfOdzvyxl1VMjNNcUJTNkRERERERMSjXI2JZ8yCPUxecxjThKpFc9O7bUX8fLz4qFstBv+xlQ8fqEm90vkyO1VxQQUJERERERER8Rgfzt3Ft2EHb3hu/OL93FWjKBUK56ZOqbzM7dMSLy9t5ZnVacqGiIiIiIiIZHlHL16j7OA5NxUjAGITLPyw6rDtsYoRnkEjJERERERERCRL+2mfF/+uWeuwzd/HiwEdKvNs87LuTUpumQoSIiIiIiIikiXtPh1B3zWub1sX9AulbMFcbspIbicVJERERERERCRLMU2TxyauZe3Bi05japQI4a9eLfDW9AyPpYKEiIiIiIiIZBlrD17g0W8dT89IMuOVZtpBIxtQQUJEREREREQyncVi8u7snUxafdhpTPuqhZn4VAMMQ6MisgMVJERERERERCRT7T8byeA/trLxyCWnMX+/0piapQu6MSvJaCpIiIiIiIiISKaZv/00fX7bTGyCxWF7s8IWHilvoUIhLVyZ3XhldgIiIiIiIiKSc9UrnRd/X8e3pkv6NeOR8o4LFeL5VJAQuc0SEhIICQnBMAzq1avnMtY0TQoUKIBhGBiGwQ8//OAyfvLkybbYCRMmuIxduXIlffv2pXbt2hQqVAh/f3+KFy9Os2bNGDFiBPv27UvV+0l6PcMw8Pb2Jl++fOTLl4+AgACKFClCq1at+OCDDzh79myKfbVu3drWV0rGjRtniy1cuDBbt261tQ0fPtzWtmzZspvOXbZs2Q15P/LIIym+3jPPPJPq3AAuX77M119/zUMPPUTFihXJly8fvr6+FChQgJo1a/Lkk0/y448/cvny5VT150zy95L05ePjQ/78+SlXrhyhoaH079+fP/74g9jY2HS9jv3Plre3N8ePH78p5sqVK5QoUQLDMChatCgXLzpf9dreBx98YOt77Nix6cpPREREso/ouAQ+mr+bJbvPAFA4JIChnavZ2ssUCOLXHo05PKozxfIEZFaa4gYqSIjcZt7e3jRr1gyALVu2EB4e7jR2x44dN9zUrVixwmXf9u2hoaEOY44fP84999xDy5YtGT9+PFu3buX8+fPExsZy6tQp1qxZw/Dhw6levTr9+vUjJiYmLW/PJi4ujrNnzxIWFsbbb79N1apVWbhwYbr6Sm7MmDH069cPgKJFi7Js2TJq1aqV7v5+//13tm3bdltys1gsfPTRR5QrV46XX36Z6dOns3//fi5fvkx8fDwXL15k+/bt/Pzzzzz33HMULVqUV199lfPnz9+W10+SkJDApUuXOHz4MCtWrOCzzz6jW7dulCxZkvfff5/4+Pg09Td58uQb3uPPP/98U0yePHlshbAzZ87Qv3//FPvds2cP7733HgANGzZM1TkiIiKSfW04fJG7x61gwrIDDJmxnYjoOAAealCSVpUK0TP0Dub3DaVZea0VkROoICGSAZKKBRaLhdWrVzuNSyoweHt73/A4pfiCBQtSrVq1m9p37dpF06ZNmTNnDgCVKlVi5MiRLFq0iH///Ze5c+fy+uuvkz9/fuLi4hg3bhydOnUiIiIixffUoEEDtmzZwqpVq1i1ahUrV67kp59+okmTJgBcvHiRBx54gEOHDqXYlysffPABb7zxBgAlSpRg+fLlDt9rWpimybBhw26pD4CoqCgeeOABBg8ezOXLl/H19eWRRx7hu+++Y8mSJWzatInFixfzww8/0L17d/LkyUNMTAxffPEFixYtuuXXf/nll9m2bZvta82aNcydO5dRo0Zx5513YhgG586dY+jQoTRv3pxz586lqt9jx47ZRpoEBwcDMGXKFIex9957r23EyU8//cSCBQuc9muaJi+88AIxMTH4+vry/fff237WRUREJGc5Gx5N2cFzeOjrNRw8fxWA0+HRjJq3G7COyv3hmYYMubsqgX76fSGnUEFCJAPYj14ICwtzGpfU9tBDDwFw4MABTp486TD27Nmz7N27F4AWLVrcNLUgIiKCLl262Iba9+/fn23btjF48GDatWtHvXr16NSpE2PHjmXXrl20bdsWgKVLl/LCCy+k+J5y5cpFjRo1qFatGtWqVaNp06Y8+eSTrF69mm7dugFw9epVPv744xT7cmb48OG8/fbbAJQuXZrly5dTqVKldPcH1uINwMyZM9m8efMt9fXiiy/y119/AdCkSRP27NnD1KlTef7552nTpg1169albdu2PPvss/z8888cPXqUDz74gMDAwFt63SSFCxemRo0atq8mTZrQqVMnBg0axMKFC9m+fTt169YFYP369XTt2jVVUzimTJmCaZr4+vraplTs3LmTjRs3Ooz//PPPbd/XF198kcjISIdxX331FStXrgRgyJAh1KxZM83vWURERDzfu3/vpNGHix22/b7xOCcvRwHg7aWtPHMaFSREMkDDhg0JCLDOd3M16iGprVu3bpQvX95lfErTNQYNGsSBAwcAeOGFF/jkk0/w8/Nz2FfhwoX5+++/qV27NgDTpk3j999/T+ltOWQYBqNGjbI9Tu9IgCFDhjBixAgAypUrR1hYmO17civ69OmDv78/AO+88066+5k+fbpt1ED9+vVZsmQJ5cqVc3lOSEgIQ4YMYdOmTVSoUCHdr51a1apVY9WqVbaixKpVq/jyyy9TPC/pfXXq1Imnn36aPHnyANYREI4UKlSIzz77DIAjR47w5ptv3hRz7Ngx2/PVq1dnyJAhaX4/IiIi4tkOnb9K2cFz+GGV4xG0tUvl5e9XW1A87+358EY8jwoSIhnA39+fRo0aAbBhwwaH6zQcOnSIEydOANYRDy1atADSV5A4e/asbUHMIkWKpGqUQlBQEN98843tsX1RIa3uuOMOcuWybsN07NixNJ8/YMAARo4cCUDFihUJCwujTJky6c7HXqlSpejZsycAs2fPZv369enq58MPPwSsBZgff/wxTaMeqlSpQoMGDdL1umkVGBjIlClTbCNoxo4dS1xcnNP49evXs3u3dajkE088QUBAgG3Ey9SpU52e2717dzp37gxYR0KsWrXqhvaXXnqJiIgIvL29+eGHH5wWx0RERCT7MU2T3r9uos3YZU5j3rq7KjNebkblorndl5hkOSpIiGSQpKJBTEwM69atu6k9abpGxYoVKVKkiK0g4WyKR1JBIiQkhDp16tzQNnXqVFvR47nnniMkJCRVOTZu3Ni2BsSmTZtu2MkiLZJ2fQDw9fVN07l9+/a1FVCqVKnC8uXLKVmyZLrycObNN9+0FRCGDh2a5vO3bt1qm+7Rpk2bLD/1oHr16tx5550AnDx5kg0bNjiNTRoFkSdPHrp06QJYCxMA586dY968eU7P/frrrwkJCcFisfD888/bfgZ//fVX5s6dC1ivb1JxTkRERLK/7SeuUO7NuczeesppzJTnG9Ej9A5N0RAVJEQyiv0oBkejHpKeSypEJP25fft2Ll26dENsREQEW7ZsAaBZs2Y3LQxoX8RIuqlMrXvvvddlnqlx6tQprly5AkDZsmVTdY5pmrzyyiuMHz8egBo1arBs2TKKFSuWrhxcKVasGC+//DIACxcutK1rkFrLly+3Hd911123NbeM0r59e9uxs+saFxfH1KlTAXjwwQdt04xatWpFqVKlAOfTNgBKlizJ6NGjAetuGiNGjOD8+fP07dsXgPLly9t22BAREZHszWIx6TZhNfd87vz3rDql8nLww7tpWbGQGzOTrEwFCXHu6vn0f8VFOe3WiLqIce1C+vqNveo832sX09ZXBmvatKlt1ICrgkTLli0B6+iAggULYprmTcPfV69eTUJCAuB4/YikYoWXl9dNoydSUq9evZv6Sauk6RaAbbh/Snr27GnbQrJOnTosXbqUIkWKpOv1U2PQoEG2aSVpXUvCfuSI/fcrK7PPM2kx1OTmzJnDhQsXgOujIsA64uXxxx8HrNNckhfI7PXs2ZPWrVsD1u1au3Xrxvnz5zEMg4kTJxIUFHSrb0VERESyuGMXr3HHkLlsPOL8d4a/ejXnz17N8dKoCLHjk9kJSBY25hYWFLx7LDTq4bAp90/t8Iq6mL5+Ww2GNjcvoAfAj53g3O7U9zX8SvpySKXg4GDq1q3Lhg0bbAWFpJENyXfMSNK8eXP++usvVqxYwT333GN7PqUFLc+ftxZYQkJC0ryjg30RIOnmNDUiIiI4cOAAn3/+OZMnTwas00969eqVqvO/++47AKpWrcqSJUvIly9fGrJOu8KFC9O7d28++ugjli5dytKlS2nTpk2qzk36/oJ1QUdnIiIiOHLkiMM2Pz+/W94xJC0KFChgO3ZWUEga/VCyZElbUSHJk08+yUcffURMTAz/+9//eOmllxz2kVR4qFWrFlFRUbbRJD169Ej191dEREQ8U4LFZPLqw4xZsMdpzF3VizLhiXo37RAnAhohIZKhkooHERER/Pfff7bnk6ZYFClShIoVK9qed7aORFJBIiAggIYNG970OhEREYC1CJJW9ueEh4c7jVu+fDne3t7ky5ePfPnykTdvXurXr8+kSZMAuO+++1i2bFmqCwtJ/ykdOnSITZs2pTnv9Bg4cCC5c1sXTkrLWhJJ31/ANsrCkcWLF1OzZk2HXx06dEh/4ulgf13t809y8eJF5syZA8Djjz9+0y8J1atXt422SdqFw5kKFSrcMDWjRIkSjBkzJr2pi4iIiAeIS7Dw8DdreHf2TqLiEhzGLH69FV8/WV/FCHFKBQmRDJQ0HQNuHOWQfP2I5PH//vsvUVHWaS+xsbG2nSEaN27scLeCpJvsyMjINOdof05qF8NMrnjx4vTr14/ixYun+pzPP/8cgOjoaO699940r+uQHgUKFKBfv36AdUvMBQsWpOq8pO8vwNWrLqYNZSH2RQhH13Xq1KnExsYCN07XsJf0/OrVq21byjrz4IMP2o7bt2+f7p8lERER8Qy+3l7ULJHHYdtTTctweFRnyhdK+4dlkrOoICGSgVq2bGmrCKemIFGvXj2CgoKIi4tj7dq1gHXb0OjoaMDxdA2AggULAtYRDkmFjNQ6c+aM7dh+mH9yDRo0YMuWLaxatYqVK1cyf/58hg4dSp48eThx4gR33XVXmhbF7NWrl+1T9GvXrtG5c2eXu0HcLq+99hp58+YFYNiwYak6x/77cu7cOadx999/P6Zp3vB1u7YvTSv7aSb58+e/qT1p1EOtWrWc7hry+OOP26YZuVrcUkRERHKGrccv89bMbVgsJgADO1amRN7r04WfaFKabcM78O59NTIrRfEwWkNCnBvo+hNRl/ycD2uPeGoxmCa5c+fGyyuNNTFfF+sjPDsPTEva+stg+fPnp3r16mzfvt12sx4eHm5bPDJ5QcLX15dGjRqxbNkywsLCaNOmTYrrR4D1pnL//v1YLBa2bNli28ozNeynS9SuXdtpXK5cuahRo4ZtWkdISAgdO3bk4YcfplmzZkRERNC9e3e2b9+e6k/HBwwYwLVr1xg2bBjh4eF07NiRZcuWUatWrVTnn1Z58+bltdde45133mHdunXMnj37hvU6HLH/vmzevJl27dplWH63S9I2pQCVK1e+oW3fvn22UTdbt25N1TDKn3/+meHDh2vIpYiISA4UHZfAp//sZeKKg1hMqFY8hO6Ny5DL34eRD9Rk2KwdjHygJk3ucP7hlogjGiEhzuUqmP4vF4UDMzA/ZlCB9PXrotBBUP609eUmSUWEc+fOsXv3blatWoXFYrEteplcUpEiqRCRtJ6Er68vTZs2dfkaALNmzUpTfvbxzgoertSoUYMPP/wQgGPHjqV57YB33nmHQYMGAdbFF++88052707D4qTp0K9fP9uoh9SMkmjVqpXteP78+RmW1+30zz//2I6TF76StvpMi4MHD7plWo2IiIhkLeMX76PK0Pl8E2YtRgCMnLubU1eso3JDKxViYf9QFSMkXVSQEMlgydeRSCo0NGnSxDYc3l7SzePatWuJiYlh9erVgHU6h7MFFR999FH8/f0B+PHHH1O9lsSGDRtsU0Pq16/vdOh+Sl588UXKlSsHwKeffnrDdIHUGDVqFH369AGsO5C0a9eOgwcPpiuX1MidOzcDBw4ErCNEZs6c6TK+Vq1atgUelyxZws6dOzMst9th+/btLF68GIBSpUrRoEEDW5tpmkybNg2wvq/ffvvN5devv/5KQEAAoGkbIiIiOcnpK9GUHTyHT/65efvwyJh4vll+/Xc1X2/dVkr66CdHJIPZjzoICwuzjXhI/ql1kqZNm+Lt7c3Vq1eZNGkSV65cuamf5IoUKcIzzzwDwOnTp203265ERUXx4osv2h4njVJID19fXwYPHgxYF3389NNP09zHZ599Ro8e1q1iT548Sdu2bTl27Fi6c0pJ7969KVy4MGAdJWGapsv4N9+0bjdrmibPPPOMbV2PrCYqKoqnnnrK9n4GDBiAj8/12XkrV67k+PHjADz11FM8+uijLr8ee+wxOnbsCMDvv/+eZd+3iIiI3D5D/9xOk5GLHbb5eXvx+p2VeKtzVTdnJdmRChIiGax48eKUL18egKVLl7Jx40bgxpET9kJCQmwjFUaPHm17PqXpFKNHj7aNUvj6668ZOHAgcXFxDmPPnz/Pvffea1tn4OGHH+ahhx5Kw7u62TPPPEOJEiUA+PLLL22FlNQyDIOvv/6a7t27A3DkyBHatWvH6dOnbykvZ3LlymUrwmzbto25c+e6jH/44Yd5/PHHAevIkjvvvJMjR464POfatWvExMTcnoRTYefOnbRo0cJ2XVu1asXLL798Q4z9dA37nTFc6datGwBXrlzhr7/+uk3ZioiISFaz/2wkZQfPYcpa57/jzOnTglfbVdSoCLkt9FMk4gZJxYcTJ04QExODj4+Py4Unk0ZPJE1b8PLycjqiIklISAizZs2ybb05duxYatasyejRo1m6dCmbNm1i/vz5vPHGG1SpUoVFixYB0Lp1a7777rtbfo9+fn4MGDAAsN64jh8/Ps19eHl5MXnyZNuN8r59+2jfvn2ap4Ck1ssvv0yxYsUAUvUaEydOpHPnzoB1pEGlSpXo3r07kyZNIiwsjC1btrB27VqmTZtGv379KFeunK2gEhQUdMv5nj17lu3bt9u+1q1bx/z58xk9ejQdO3akRo0atkVKmzRpwvTp0/H19bWdf+3aNf7++2/AOkWnbNmyqXrdLl262Lab1bQNERGR7Mc0TXr+tJH2nyx3GlM6fxD7PuhExSK5ncaIpJV22RBxg9DQUCZNmmR7XLduXZc3qC1atOCLL76wPa5Zs6Ztq0pXatSowZo1a3jxxReZP38+e/bscToVw8fHh1deeYXRo0fb1p+4VT179uSDDz7g/PnzjBs3jv79+xMcnLb9p729vfntt9/o2rUrc+bMYceOHXTo0IElS5ak6nuQFoGBgQwZMoRXX301VfFBQUHMmjWLkSNHMmbMGK5cucKvv/7Kr7/+6vScgIAAnn32Wd59991bznfChAlMmDDBZUyhQoXo168fb7zxxg1TNQBmzpxJREQEkPrREQB58uShffv2zJ07l4ULF3LmzBmKFCmS9jcgIiIiWc6WY5e578tVLmN+7dGYZuXdtyi85BwaISHiBsmnW6Q02iH5dI607H5RunRp5s2bR1hYGL1796ZGjRrkz58fX19fihQpQuPGjXnnnXfYuXMn48aNu23FCLDesPfv3x+ACxcupHjz7Iyvry/Tp0+nffv2gHULy06dOqV6sc606NGjB6VKlUp1vJeXF2+99RaHDx/mq6++4oEHHqB8+fLkyZMHHx8fChQoQLVq1ejevTvffPMNp06d4quvvqJgwdv7n7iXlxd58uShdOnStGzZkn79+vHHH39w/PhxhgwZclMxAmDKlCm24wceeCBNr5dUwIiPj3dZgBERERHPYJomI/7e4bIY0bBsPg5+eLeKEZJhjJQWcpOsxTCMksAxsG6xWLJkyVSfu2/fPuLj4/Hx8aFixYoZlaJLFouF8PBwwDrFwMtLNTFPouvn2XT9Ms/t+Pc3KiqKhQsXAtChQwcCA51vryxZj66fZ9P182y6fjc7cuEqg//YxpqDF5zGzH61BTVK5HFjVo7p+mUNx48ft/8Qr5RpmsdvR7+asiEiIiIiIpJDzN12item/Ud0nMVhe+daxfjisboYhuHmzCQnUkFCREREREQkh6haLARng+SXDmhNuYK53JuQ5GgarysiIiIiIpJNxcZb+GzRXv49cgmAcgVz8dqdlWztJfIG8uOzDTk8qrOKEeJ2GiEhIiIiIiKSDf137DKDpm9lz5kIZm89xZw+LfD38eb5FuWYu+0UtUvl5Y27qhDsr9tCyRz6yRMREREREclGLl6Npd57/9zw3P6zkXyxZD+vd6iMj7cX015qir+PdyZlKGKlKRsiIiIiIiLZxCcL99xUjEjybdhBLkTGAKgYIVmCRkiIiIiIiIh4uBOXo2g+aonT9mrFQhjdrRYFgv3dmJWIaypIiIiIiIiIeLA3Z2zlt/XHnLYP7FiZnqF34OutAfKStaggISIiIiIi4oH2nYngzk/DXMZMfKoBd1Yr4qaMRNJGBQkREREREREPYpomz0/eyJLdZ53GlC+UiwX9QvHRqAjJwlSQEBERERER8RAnL0fRzMVaEQD/69mExncUcFNGIumngkQO4u3tTXx8PAkJCZimiWEYmZ2SiEi2Z5omCQkJAHh56VMqERFJH4vF5LcNRxk5d7fTmGblC/DLC431e754DBUkchA/Pz9iYmIwTZNr166RK1euzE5JRCTbS/p3F6z/DouIiKRVdFwCz/y4nrUHLzqNmdunJdWKh7gxK5Fbp49qcpCQkOv/QF28eNH2C7KIiGSc8PBw27EKwSIikh4Bvt4Uzh3gsK1r3RIcHtVZxQjxSCpI5CDBwcG24VuRkZEcP36cq1evqjAhIpIBEhISuHDhAhcuXLA9FxwcnIkZiYiIJ9l1KpyPF+6xPR7WpRr5c10fafdQ/ZL8986dfPpInUzITuT20JSNHMTLy4sSJUpw4sQJTNMkMjKSyMhIDMPA29vbbXnEx8cDcO7cObe9ptw+un6eTdfPPezXjUhSqFAhTdkQEZEUxcQn8OWS/Xy17ADxFpNqxULoVLMYBYL9GdalGmMW7GHkAzVpWbFQZqcqcstUkMhhcufOfUNRAqy/OCfdpGQ00zSJiooCIDAwUAvueBhdP8+m65d58uTJQ4ECWu1cRERc+27FQd6fs+uG54b+tYOm5QuQN8iPe2sXp2P1ogT4uu/DRJGMpIJEDpQ7d24qVapEZGQk4eHhxMbG3vRJXkaxWCy2G6Lg4GCtOO9hdP08m66fe3l7exMUFETevHkJCHA871dERATgfGQMDd5f5LTtm7CDDLqrCoZhqBgh2YoKEjmUl5cXISEhNyx06Q5RUVHs3m3dqqh+/foEBga69fXl1uj6eTZdPxERkazno/m7mbDsgMM2Hy+Dl1uXp3fbCm7OSsQ9VJAQERERERFxs2MXr9Fy9FKXMbN6t9DuGTnB+X1w7QKUagw5bEqtChIiIiIiIiJu9Pq0Lfyx6bjT9nxBvqx5s52mZ2R3J/+DBW/BkZXWxxU7wOPTclRRQgUJERERERERN9h1KpxO41a4jPnhmQa0rVLETRlJprh4EJa8D9v/uPH5fQvh/F4oVDlz8soEKkiIiIiIiIhkINM0eW/2Ln5YdchpTJWiuZnTpyXeXjnn0/EcJ/IsLB8N//4IFge7HPoGQXDOKkapICEiIiIiIpJBTlyOYsiMbSzfe85pzB8vN6V+mfxuzErcKvwkfFI15biHJkNg3gxPJytRQUJERERERCQDzNl6ijemb+FqbILD9taVC/HjMw0xctCaATlKTAR83QIuHXYe458HWvSDxi+BX5C7MssyVJAQERERERHJAKXyBxIV57gYsaBfKJWL5nZzRuIWCfHw2yOwf5HzGG9/aNwTWrwGQTl3dIwKEiIiIiIiIrdBfIKFiSsO0a5qYSoVyU2tknnp0fIOvgk7CECREH9G3FuDu2oUzeRMJUOYJswbBOu/cR1X5wlo8ybkKemevLIwFSRERERERERu0Y6TVxj0x1a2nwhn4c7TTH+pGd5eBv3vrMTCnWdockd+BneqSp5A38xOVTLC8Y3wzztwZJXruIcmQfWubknJE6ggISIiIiIikk7h0XE0/XDxDetEbD56mcmrD/Nci3IE+Hrz96stCPbXrVe2dH4fLB4Bu/52HXfne9C8j3ty8iD6WyEiIiIiIpIO3yw/wMh5ux22ffLPXh6sX5I8gb4qRmRH4Sdh2SjY/DOYjtcJAaD+s3DPp6CFSx3S3wwREREREZE0OBsRTaMPFjttr1g4mI+61dL0jOwo6jJ81w4u7HcdV7YlPDEDfPzckpanUkFCREREREQkld6fvZPvVh5y2t6nXUV6tSmPv4+3G7OSDBcXBeu/hRWfQPRlxzGB+aDlAGj4AvgGuDU9T6WChIiIiIiISAqOXLhKqzHLXMaMe7QO99Up4Z6ExD0S4mHLb7BsJISfcBzjEwhNe1nXiAjI4978PJwKEiIiIiIiIi70+W0zs7acdNpeOLc/Kwa10aiI7MQ0Yd03sPEHOL/HeVz9Z6H1YMitrVzTQwUJERERERERB86GR9PoQ+drRQBMerYhrSsXdlNG4hYrPrHunOFKtfuhRX8oXscdGWVbKkiIiIiIiIjYMU2T6f8e573ZO53G1CyRhz97NcfbS7snZBvbpsMfz7uOKdsS7hwBJeq7J6dsTgUJERERERGRRJEx8bz887+s2HfeacyMV5pRr3Q+N2YlGerIavixk+uYojWh/XAo305beN5GKkiIiIiIiIgkyuXnfB2I9lULM/GpBhi6Ic0erl20FiLO7XYd16QXdHgfvLzck1cOooKEiIiIiIjkaPvPRrJsz1leaHkHhmHwYdeadPwsjGuxCQDcW7s4b3WuSpEQbeWYLcRehbVfwarxEBPuPK5gJeixFPyD3ZdbDqOChIiIiIiI5EhxCRa+DTvIuEX7iE2wUK14CM3KF6RU/iDe6FiZr5cf5P37a9C+WpHMTlVuh4Q42PQTLP8IIs84jzO84bWd2jnDDVSQEBERERGRHGfq+qMMnrHthufenLGN+X1DCfTz5qmmZXmwfklyB/hmUoZy21gssHyUddHKiwdcx76yFgpXdU9eooKEiIiIiIjkHFeuxVH73YUO245cuMZ3Kw7yaruKeHkZKkZkBweXwT/D4NR/zmNqPgShb0ChSu7KShKpICEiIiIiIjnCtysO8+mSgw7bvAx4oeUdvNDyDjdnJRni1BZYNBwOLHEeU6E9tBsGxWq5LS25kQoSIiIiIiKSrV2JhXf+9QEcFyMAZr7SnNql8rotJ8kgFw/Ckvdh+x/OY4rXgztHQLlQ9+UlDqkgISIiIiIi2daH8/Yy5V/ntz0+XgZbh3cgyE+3Rh7tzA6Y0CzluCa9oOMHoK1bs4QM/VtnGIaZytDlpmm2TqGvTkBPoCFQCDgHbAC+NU1zXirz8QFeALoDVYBg4CSwCBhvmuaOVPZTEOgD3A+UTXz6MPAnMM40zQup6UdERERERDLGofNXaTN2mcuYLx6vyz21irsnIckY4SfhkxQWoQwuCm3ehDpPgLcKT1lJlr8ahmF4Ad8CzydrKpH4db9hGN8BL5qmaXHRT0FgLtaChr07sBY6njYMo7dpmt+lkE9jrIWH5HvA1Ez8esEwjPtN01zv8o2JiIiIiMhtZ5omo+bt5psw59MzSuQNZOmA1vj5eLkxM7mtYiLg65Zw6ZDzGP880KIfNH4J/ILclpqknrsKEhOAr1y0X3XR9gHXixGbgdHAAaA88AZQF+uoh3PAEEcdGIbhDczkejFiBjARuAg0Bt4GCgPfGIZxwtmIC8MwSgF/Yx2hEQ98AsxObL4HeA0oBvxtGEZ90zSPu3hfIiIiIiJyG50Jj2bon9tZuPOM05ifn29Mi4oF3ZiV3FYWC/z2COxzvFOKTbNXocVrEJTfPXlJurirIHHWNM3taT3JMIxKwIDEhxuBUNM0oxIfbzAMYxawHGgADDQM4wfTNPc76OppoEXi8Vemafaya1tvGMY84F8gBBhvGEZV0zTjHfTzAdZiBMDjpmn+bte2wjCMf4H/YS1uvA88k4a3KyIiIiIi6TRn6ykGz9hKRLSjX+OhbLDJnNfakitIn5R7JNPE68BiWDEKzmxzHfvcAijdxD15yS3J6mOU+nG9aPKqXTECANM0rwGvJj70Afo76SepqHERGJi8MbGIMTLxYQWga/IYwzCKYl17AmBBsmJEUj/TgAWJD59MPEdERERERDJYnkBfp8WI12vG079mAl5ayNAj5bt6gGb7R+E/vbvrYsRDk2D4FRUjPEiWLUgYhmEA9yU+3G2a5lpHcYnP70l8eF/iefb9VAKSVjmZlljEcGSS3fFNBQngXq5/v350kXpSP16J54iIiIiIyG2WYDH5YeUhTly2fmbZomJBHm5Q0tZeIJcfnzxcm53vtKF0cGZlKbfk/D78Zj5P6N4RFIrc5Tyu/QhrIaK6o9s4ycqy8qKW5YCkJW+XpxC7HKiMdZHLsoD9yiYtksU5ZJrmacMw9gKVgOYOQlLVT7K25lgX5BQRERERkdtk75kI3pi+lf+OXSZs3zl+fKYhhmHw1t3VWLrnHC0qFOSde6qRL5cfUVFRKXcoWUv4SfiuPYSfwNtZTEBeqHYfdBmnLTw9mLsKEg8ZhvEw1mJBAnAaWA1MMk1zqZNzqtkd706hf/v2qtxYkEhrP5WAUoZh5DJN036xzaR+rpimedpZB6ZpnjIMIxzrehQp7D8jIiIiIiKpdS02nk7jVnDychRxCSYAy/ac48//TtC1bknyBPmyoF8o+XP5ZXKmki5Rl2DlZ7Dua4iPdhwTUhLaDIHaj4KX03KFeAh3FSSqJXtcIfHrKcMw/gSeMU3zSrKYknbHKe1WcczuuNRt6MdIPG+PXVtSP6nZOeMYUN1BLikyDKNkCiG2dSmioqI8ruIbHR3t8Fg8g66fZ9P182y6fp5N18+z6fplDVM3nmDEnD0O2979eyehd+QlyM+bQC9u+B1Z188DxEXhs+kHfNZ+jhF92WFIrHcu4pv1w2jUA3wCICbWvTnmcBl135nRBYlrwCxgMdbRB5FYd6loBbwEFADuB/4yDONO0zTj7M7NbXccmcLr2I9kSD5D7Hb3k1If9v2kZ7basZRDrMLCwihY0HO3LAoLC8vsFOQW6Pp5Nl0/z6br59l0/Tybrp/7XY2DIRud37YUCjB5tFwUK5ctTrEvXb+sxbDEU+v4FIqEb8E37qLTuH2F72ZvkS7ER+aCJbqGmeH8+fMZ0m9GFyRKmKZ52cHz/xiG8TkwD6iLtUDxMjDeLibA7jil8leM3XFgsrbb3U9qSnFJ/STvQ0REREREUmn+MYN5x50Py29X3MJdJS34aeS+ZzFN6hz9jjIXVzgNseDFkQKt2Fv0PqL98rsxOXGnDC1IOClGJLWdMQyjG9aRE75Yt++0L0jYj6dKaRKYv91x8rEkyftxNU4rpX6CUpGLfT/pGdeS0jSPosAGgNDQUEqWTGmGR9YSHR1tq0yHhoYSEBCQwhmSlej6eTZdP8+m6+fZdP08m66f+50Oj6bNp6tdxoy4pzIP1y+RYl+6flmLz9rP8V3+gcuY+MpdiA8dTNH85cmr65clHD+empUL0i5Td9kwTfOgYRj/AHcDFQzDKG6a5snE5gi70JSmPuSyO04+pSJ5P64KEin1E5SKXOz7Sc30jhuYpunyStvvahoYGEhgoOcOwggICPDo/HM6XT/Ppuvn2XT9PJuun2fT9ct4b/+5jZ/XHnXaHuDrxeahHQhMx7AIXb9MtG06/PG865hyodB+OD4l6ju8UdX1yzwZ9X3PCtt+7sRakADrtp1JBQn7G/OUhgHYjypIvgZD8n5cTX5J6sfk5sUrjwNFUpGLfT+pXg9CRERERCQnuxAZQ/33F7mM+fqJetxVo5ibMpLb4vIx+OleuHjQdVybtyB0oLbwzGGyQkHCdPL8TrvjKin0Yd++K4V+/ktFP8eSbfmZ1E99II9hGEWdbf1pGEYxrFt+OspFRERERETsmKbJ31tPMXzWDqcxZQoEsei1Vvh6e7kxM7kl1y7Cio9h/URIiHEeV6kTPPIzeGeFW1Nxt6xw1e23BD1pd3wo8XFxrIteuhKa+OcJ4HCytpV2x62AqY46MAyjKFAp8eEqByErgSft+vmfk1zsc3XUj4iIiIiIAFei4nh92n8s2nXWacyvPRrTrLzn7iyX48RehbUTYNU4iAl3HlegIvRcBv7p2ZhQsotMLTEahlEOuDPx4QHTNE8ktZmmaQJ/JT6sYhhGEyd9NOH6yIa/Es+zMU1zL9dHKjxsGEaQk3SesTue6aB9FmBJPH7WSR/2/VgSzxEREREREQdy+XlzLsLxp+eNyuXn4Id3qxjhKRLiYGp3GF8XlrznohhhwOt74NWNKkZIxhUkDMPoYhiG0xEYhmEUAf7g+q4VXzkI+wxISDz+3DCMG1bSSHz8eeLD+MR4R8Ym/pkfGO0gl/LAm4kP9+OgIJE4ReOXxIcdE3cISd7PQ0DHxIdTnE3rEBERERHJqY5cuMrvG61Lrfl4e/FRt1r4el9fN6Bj9SKEDWzDtBeb4uWl9QSyPNOE7TPgy8awezZEnrk5xssXGr0IA/bD8MuQu6jb05SsKSOnbHwO+BqG8QewButUiiigINAaeDHxGKzTIb5M3oFpmnsNwxgDDAYaAKsMw/gIOACUBwYBdRPDx5imuc9JLpOB54DmQK/E6RkTgUtAI2Ao1nUfLEAf0zTjnfTzFnAXUAj4zTCMBsDsxLZ7gNcTj88BbzvpQ0REREQkx0mwmPy46hBjF+4hLsGkarEQapTIQ5WiIbzSugK/rDvKe/dVp1NNLVrpMQ4uh0XD4ORm5zE1H7IuWJm/nPvyEo+R0WtIFAdeTfxy5g/gBdM0na108hZQGGtBoS6O14D4HhcFANM0EwzDuB+YCzQEHkz8shcD9DZNc56Lfo4ZhtEF+BMoirUgMihZ2Gng/pS27xQRERERySlmbTnJgGlbiE2w2J57Y/pW/urdHF9vL3q1qcCzzcuSN8jPRS+SZZzaAouGw4ElzmMqtId2w6BYLbelJZ4nIwsST2Nd4LEpcAfW0RAhQCTW7TBXA5NN01zjqhPTNC3A84kjLXpiLSgUxLp95wbgG1dFBLt+zhuG0QzoATwOVAVyYV04czEwzjRN50v7Xu9nnWEYNYG+wP1A2cSmQ1jXvPjMNM0LKfUjIiIiIpLdXY2Jp8bwBZgO9tXbeSqcKWuO8FyLcvj5eOHno2JElndgCUzp6jombxmo/zS0fN11nAgZWJAwTXM5sPw29jcX6wiHW+kjHpiQ+HUr/ZzHOs1j6K30IyIiIiKSXU1efZhhTrbyNAx4qkkZHm5Yys1ZSbqc2QETmrmOKVAB2r0DVe+1XmCRVMgK236KiIiIiEg2cfFqLPXe+8dlzLQXm9KwbH43ZSTpFn4KPqniOia4KLQeDHWfBG/dXkra6CdGRERERERui08W7mH8kv0uY7YM60CeQF83ZSTpEh8D37aGsztdx7V5C5r2Br8gt6Ql2Y8KEiIiIiIickuOX7pGi4+WuowZ/WAtTdHI6iwW2D4dlrwHl4+6jn11ExQo7568JNtSQUJERERERNJt7II9fLHU+aiIYH8fNr7dngBfbzdmJWlimrB/ESwaAWe2uY59bgGUbuKevCTbU0FCRERERETS7EJkDMP/3snfW046jfn2yfp0qF7UjVlJmh3bAItHwOEVruO6/Qg1HnBPTpJjqCAhIiIiIiJpMn/7Kd6csY1L1+IctpcvlIsF/ULx8fZyc2aSauf3waR7IPK085hidaxFiOZ93ZaW5CwqSIiIiIiISJrEJZhOixH/69mExncUcHNGkmrhp2D5KNg0BcwExzGFqkC7YVC5k7bwlAylgoSIiIiIiLhksZhM23iMjtWLki+XH/fUKsZf/51k0a4zAOQJ9OX1DpV4skkZDN3AZk1Rl2HVOFg7AeKjHMeElIQ2Q6D2o+ClNT8k46kgISIiIiIiTh06f5VBf2xl/aGLrD98kU8eroNhGHzQtQbrDl2gZcWCjLi3BoVy+2d2quJI1GX4+QG4cACiLzuPa/0mNO8HvgFuSkxEBQkREREREXEgJj6BxyeuY/uJK8TEWwCYsekEXWoXp03lwhQJCWBBv1CK5w3M5EzFofhY+Ok+OLraeYxPIDR9xbpGREAe9+UmkkgFCRERERERucGMTcd5bdoWh21vz9zOkgGt8PfxVjEiKzJNmNUbNv/sPMbwhnpPQatBEFLMfbmJJKOChIiIiIiIABARHUfN4QudtpfMF8ioB2rh76P1BbKklZ/CouGuY6rdD22HQsEK7shIxCUVJEREREREhO9WHOT9Obuctj/XvBwDOlYiyE+3EFnOmZ3wv+5w8aDruHs+gwbPuiUlkdTQvyYiIiIiIjnY+cgYGry/yGXM252r8kLLO9yUkaTa5WOw9EPY8htgOo9r0gs6fqAtPCXLUUFCRERERCSHGjVvN18vP+AyZtvwDuQO8HVTRpIq1y7Cio9h/URIiHEeV+kueOQX8NZtn2RN+skUEREREclhrlyLo/a7zteKAPjk4do8UK+kmzKSVIm9Ct+2hvCTEBvpPK5ABei5HPyD3ZaaSHqoICEiIiIikoMs2HGaoX9ud9peIJcfqwa3JcBXC1dmGQlxsHkKLBsFkWccx/gFQ9Pe0Kw3+Od2b34i6aSChIiIiIhIDnDlWhxDZm5jzrZTTmN+eKYBbasUcWNW4pJpws4/YfF7cNHJ1BovX2jwHIQOhOBCbk1P5FapICEiIiIikgP4+3qx61S4w7aqxUKY/WoLvL206GGWcWCJtRBxcpPzmJoPQZu3IH859+UlchupICEiIiIikk0dv3SNHSfD6Vi9KAG+3nzUrRYPfb3G1t66ciEGd6pClaIhmZil3GDzz/BXL9cx5UKh9uNQ5zH35CSSQVSQEBERERHJZiwWk5/XHeGjebtJME0W9AulTIFcNCybn6ealuHvLScZ1qU699UpjqGtILOGA0tgSlfXMcXrwZ0jrAUJkWxABQkRERERkWzkn51nGDJzG+cirm8HOfiPbfzaozGGYfDGXVXo064iBYP9MzFLsTmzAyY0cx1ToAK0HQrV7gMVkCQbUUFCRERERCQbiI5LoOH7i4iIib+pbc3BC0z/9zgPNShFsL8Pwf66Dch0MRHwWS2Iuug6rsP70Pgl8PZ1T14ibqR/iUREREREPNy0jcd4Y/pWp+2PNSpFh+pF3ZiROBUfAxt/hLAxrosR/iHQ5z/IVcBtqYm4mwoSIiIiIiIe6kpUHLVHLHTa7u1lMOW5RjSrUNCNWYlDFgtsnw5L3oPLR13HvroJCpR3T14imUgFCRERERERD/T18gOMmrfbZcz6Ie0ooLUiMpdpwq6/YfloOLPNdeyz86FMU/fkJZIFqCAhIiIiIuJBzoZH0+jDxS5jhnWpxrPNy7kpI3Hq+L8w9XGIPO08plInqPsEVL3HfXmJZBEqSIiIiIiIeIhxi/bx6aK9LmO2j+ioRSsz2/l9sPhd2DXLeUypJtB+uEZESI6mf6lERERERLK4y9dieW/2Lv7YdNxpzLhH63BfnRJuzEpuEn4Klo+CTVPATHAcU6gKtBsGlTtpC0/J8VSQEBERERHJwhbsOM1bM7dxPjLWYXuREH9WvNEWPx8vN2cmNpePwrg6YHiBJc55XPvh0KwPeHm7KzORLE0FCRERERGRLOxMeLTTYsTk5xrRqlIhN2ckNlGX4ctGEHnG+tjRqIiAvBA6ABr2AN8Ad2YnkuWpICEiIiIikoWYpsmsLSe5s1oRgvx8eKJxGWb9d5KNRy4BkNvfh5dal+elVuXx9tKQ/0wRHwtT7ocjq5zH+ARCk5eheV8IzOuuzEQ8igoSIiIiIiJZxLGL1xgycxsr9p3n+RblGHpPNby8DD7qVotO41bQskJB3u9ag2J5AjM71ZzJNGFWb9j8s+u4+s9Aq8EQUswtaYl4KhUkREREREQyWVyChd6/bmLFvvNci7UO+/9h1SE61ypGvdL5KF8omLl9WlK+UC4MLYSYOY6sgT9fgkuHXcc9NtW6YKWIpEgFCRERERGRTDR/+2le+vnfm543TRg0fSvz+rbEx9uLCoWDMyE74cxO6xaee+e5jus0Bhr3dE9OItmEChIiIiIiIpkgKjaBuu8tJDrO4rC9aEgAgztVwcdbu2dkisvHYOmHsOU3wHQe1+QV6PihtvAUSQcVJERERERE3Oy39Ud5c8Y2p+2PNy7N4E5VCAnwdWNWAsC1i/BxFUiIcR1XsSM8+it465ZKJL30t0dERERExE2uXIuj9rsLXcb0a1+Rfu0ruSkjsYm9CmsnwKpxzosRQQWh1RtQ/1nw8XNvfiLZkAoSIiIiIiJu8MWSfYxduNdlzOahd5Ivl2503SohDjZPgWWjIPKM4xi/YGj2KjTtBf653ZufSDamgoSIiIiISAa6EhVH7RGuR0W8f38NnmhSxk0ZCQAWi7UQsWocXDzgPK7RixA6EIILuS83kRxCBQkRERERkQyydPdZ3prpfK0IX2+DLcM6EOSnX8vdavF7sGKs65ga3aDh81CmmXtyEsmB9C+fiIiIiMhtduVaHMP/3sHMzSecxnz5eD061yrmxqzEe+tvMK+/66Dy7aD9MChW2z1JieRgKkiIiIiIiNxuBqw+cN5hU8l8gSwd0BpfbefpNoXCt9PswGjXQcXrQfvhcEcrt+QkIipIiIiIiIjcFmfCozlwNpJmFQqSJ9CX9++vSY+fNtram1cowGt3VqJ+mfyZmGUOE3mWwLEVSXHSRacx0KgHGIY7shKRRCpIiIiIiIjcAtM0mbbxGO/P2YWXYbDotVYUyu3PndWKcE+tYizfe463O1fl4QalMHTD6x4xEbD6c1j9heu4YrXhuQXgG+ievETkBipIiIiIiIik06r95xk2awf7z0banhs2aztfda8PwIh7qxNvMSkSEpBZKeYs8TGw8UcIGwPXHE+ZAazbePbdArkKui83EbmJChIiIiIiImkUG2+hzdhlnLgcdVPb3G2nWbDjNB2rF6VAsH8mZJcDJcTDugmwfiJcPuI6tve/ULCCe/ISEZdUkBARERERSYM5W0/R69dNTtsfqFuCRmW1ToRbmCbsXwyzXoWIk45DDC+O5WvOgcIdaXLfCwQGanqGSFahgoSIiIiISCrEJECNd5eSYJoO2wN8vZjwRH3aVC7s5sxyqOP/wqJhcHiF85jKdxPT/A02bz7qvrxEJNVUkBARERERScHK0wa/H/IGHBcjAJYPbKO1Itzh/D5Y/C7smuU8plQT6xaeZZpiRkUBKkiIZEUqSIiIiIiIOHHpaix131sCeDuNGdixMr3aaE2CDHdiE0xsk3LcXaOg8UvawlPEA6ggISIiIiLiwIRlB/ho/m6XMVve6UCeIF83ZZRDXT4Kn9V0HRNSEtoMgdqPgpfz4pGIZC0qSIiIiIiI2AmPjmPk3N38tt75MP+RD9TksUal3ZhVDhR1Gb5sBJFnnMcE5IXQAdCwB/hquoyIp1FBQkREREQk0ZLdZxgyYzunw6Mdtgf6erFpaAcC/fQpfIaJj4Up98ORVa7jWrwGzftCYF53ZCUiGUAFCRERERGRRNuOhzstRjxXKYGBj7VVMSKjmCbsmQvzB1unabjSYymUqOeevEQkw6ggISIiIiI5lmmaLN51llaVC+Hr7cXLrcszd9sp9pyJACDIz5vHGpSgesJBvL0yOdns7Mga6xaex9a5jntsKlTu5J6cRCTD6Z9VEREREcmRTl+JpsdPG3nhp418s/wAAH4+XnzUrRZeBrSsWJAF/UIZcGcFFSMyypmd8Ouj8ONdrosRncbA8CsqRohkMxohISIiIiI5SoLF5O0/tzF7yykiYuIBGL94P3fVKEqFwrmpUyovM19pTq2SeTAMg6ioqEzOOBu6fAw+q5FyXJNXoOOH2sJTJJtSQUJEREREcozle8/x9A/rb3o+NsHCG9O3Mv2lZnh5GdQuldf9yeUE1y7Cio9h/UTnMXnLQNuhUONB8NLQFJHsTAUJEREREcn2YuMttPhoCWcjYhy2Fwz2p0fLO/Dy0ifxGSL2KqydAKvGQUy445iggtDqDaj/LPj4uTc/EckUKkiIiIiISLb2138n6Dv1P6ftD9YrydB7qpI3SDfBt11cFCz/CP77DSJPO49r/SY07QX+ud2Xm4hkOhUkRERERCRbioyJp8awBS5jXmhRjrfvqeamjHIQiwX+eA52zHQe4+ULDZ6Fpr0hXxn35SYiWYYKEiIiIiKS7UxadYjhf+90GbN+SDsKhwS4KaMcZMn7EDbGdUzNh6DNW5C/nHtyEpEsSQUJEREREck2wqPjqDV8ocuYwZ2q8FKr8m7KKAfZ/DP81ct1TPl20H4YFKvtnpxEJEtTQUJEREREsoXV+88zeMY2lzFbhnUgT6CvmzLKIS4ehPF1U4679wuo92TG5yMiHkMFCRERERHxaOHRcXw4ZxdTNxxzGjOmWy0ealDKjVnlAJFnrVMzNv7gOq7Gg/DAd9rCU0RuooKEiIiIiHi06NgE5mw75bAtd4APG95qT4Cvt5uzysZiImD157D6C4i76jyuWG14bgH4BrovNxHxKCpIiIiIiIjHOR8Zw4lLUdQulZfCIQEM7VyNN/7YamuvXyYfr7atQOvKhTMxy2wm9irMfxN2z4Fr553H+QVD3y2Qq6D7chMRj6SChIiIiIh4DNM0+eu/k4z4ewf+Pt7881oouQN8eahBSWZtOcnmo5cY3KkK3RuXwcvLyOx0sweLBbb/Af+8AxEnHcd4+0OjHtC8LwSrCCQiqaOChIiIiIh4hH+PXOSDObvYdPRy4jNxjJq3mw+61sQwDD7qVgvTNCmZLygz08w+TBP2L4bFw+G0k8VCDS+o/Ri0fhPyao0OEUkbFSREREREJEtLsJh0Hr+C3acjbmr7Zd1R7qlVnKblC1Air9YquG2O/wuLhsHhFc5jKt8N7d6BwlXdl5eIZCsqSIiIiIhIlrV091menbTBaXvnmsWoUDjYjRllc3vmwW+PphBkwH1fQN0n3JKSiGRfKkiIiIiISJYTHZdA05GLuXQtzmF7sL8PYx+qzV01iro5s2zqxCaY2MZ1TKEq0G4YVO4EhtbnEJFbp4KEiIiIiGQpMzYd57VpW1zGzO/XUmtF3A6Xj8JnNV3HhJSENkOg9qPgpe1TReT2UUFCRERERLKEiOg4ag5f6DLmpVblGdypipsyysZiIuHzehB5xnVch/ehYQ/wDXBPXiKSo6ggISIiIiKZ7sdVhxjx906XMRveak+h3P5uyiibsiTAlt9gyQcpFyP6bYO8pd2Tl4jkSCpIiIiIiEimuRoTz9iFe/hx1WGnMW93rsoLLe9wX1LZkWnCnrmw+F04t9t1bI+lUKKee/ISkRxNBQkRERERyRQr951n8IytHL8U5TRm2/AO5A7wdWNW2dCRNdYtPI+tcx336G9Q5W735CQiggoSIiIiIpJJFu0647QY8cnDtXmgXkk3Z5TNnNkJE5q6jgkuAi0HQOOe7slJRMSOChIiIiIi4jarD5ynSbkCeHkZDOxYmX92nuHEZWtRwt/HiwfqlWBYl+oE+Go3h3S7fAyWjYT/fnUeU6Qm3DkcyrfTFp4ikmlUkBARERGRDHc2Iprhs3Ywd9tpPuxak8cblyaXvw8jH6jJUz+sp1G5/Hz0YC3KFcyV2al6rmsXYcXHsH4iJMQ4jslbBtoOhRoPgpeXe/MTEUlGBQkRERERyTCmaTJmwR5+WXeUK1FxAIycu4s2VQpRLE8goZUK8esLjWlyh3XUhKTD1fMw61U4vBJiwp3HdRoN9Z8FHz/35SYi4oIKEiIiIiKSIdYfusjD36y56fmImHjenrmd755ugGEYNKtQMBOyywbiouD7DnB6q/MY31zQ7FVo2gsCQtyXm4hIKqggISIiIiK3VXyChY6fhXHg3FWH7fmCfOlSu7ibs8pGLBb44znYMdN5jJcvNHgWQgdCcGH35SYikgYqSIiIiIjIbfPPzjP0+Gmj0/YutYszrEs1Cgb7uzGrbGTJ+xA2xnVMzYegzVuQv5x7chIRSScVJERERETklkXHJdDw/UVExMQ7jXm8cWk+7FrTjVllI6e2wjctU457aDJUvz/D0xERuR1UkBARERGRWzJt4zHemO5iHQNg5aA2lMwX5KaMspGLh2DpB7Dtd9dxoQOh7dvuyUlE5DZRQUJERERE0iUyJp4awxa4jHm1bQVe71DZTRllI5HnrFMzNv4AljjncTUehAe+0xaeIuKRVJAQERERkTTbePgiA1MYFbFp6J3kz6UtJtMk6jL80g3O7oLYSOdxxWrDcwvAN9BtqYmI3G4qSIiIiIhIqkXGxDNm/m5+WnsE03QcM7xLNZ5prgUV0yQ+Fv79EZaPhmvnHcf4h0DzvtDkZfDL5d78REQygAoSIiIiIpJq5yJimLrhmNNixI4RHcnlr18xU81ige1/wJL34PIRxzHe/tCoB7R8HYLyuzc/EZEMpP8tRERERMSly9diOR8ZQ4XCuSlXMBev3VmJkfN229qrFQvhlTbluadW8UzM0sOYJuxfDIuHw+ltzuPqdIfWb0LeUm5LTUTEXVSQEBERERGHTNNk3vbTvPPXdvIG+TGnTwv8fbx5vkU5Zm89xb6zEbx+Z2Wea1EOby8js9P1HOu+hXkDXccUrgZthkDVLu7JSUQkE6ggISIiIiI32X7iCmMW7GH53nMAnI+M5Ysl+3m9Q2V8vL349JHa+Hh5Ubag1jJItT3z4LdHXceUagztR0CZpu7JSUQkE2VaQcIwjI+AN+yeamOa5rIUzukE9AQaAoWAc8AG4FvTNOel8nV9gBeA7kAVIBg4CSwCxpumuSOV/RQE+gD3A2UTnz4M/AmMM03zQmr6EREREclKLBaTR79dy/rDF29qm7DsAJ1qFKNa8RAqFM6dCdl5qBObYGIb1zGFqkC7YVC5ExgabSIiOUOmFCQMw6gDvJaGeC/gW+D5ZE0lEr/uNwzjO+BF0zQtLvopCMzFWtCwdwfWQsfThmH0Nk3zuxTyaYy18FA0WVPNxK8XDMO43zTN9S7fmIiIiEgWsvrAeR6fuM5pe6tKhbSNZ1pEXYaPyqQcd9+XUPsx8PLO8JRERLIStxck7IoLPsBZoHAqTvuA68WIzcBo4ABQHusoi7pYRz2cA4Y4eV1vYCbXixEzgInARaAx8HZiLt8YhnHC2YgLwzBKAX9jHaERD3wCzE5svgdroaUY8LdhGPVN0zyeivcnIiIikmniEiy0/2Q5Ry5cc9ieO8CHD7rWpEutYhj69D5lcdGwYSKs+Nh1XHAR6LUeAvO6JS0RkawmM0ZI9MFaFNiNtUDwpqtgwzAqAQMSH24EQk3TjEp8vMEwjFnAcqABMNAwjB9M09zvoKungRaJx1+ZptnLrm29YRjzgH+BEGC8YRhVTdOMd9DPB1iLEQCPm6b5u13bCsMw/gX+h7W48T7wjKv3JyIiIpKZ5m8/xUs/b3IZM+fVlpQuEOSmjDyYJQG2TIWlH0J4Cp9J9d0K+VIxekJEJBvzcueLGYZRGngv8eFLQGwqTuvH9cLJq3bFCABM07wGvJr40Afo76SfpKLGReCmZY0TixgjEx9WALo6yL8o1rUnABYkK0Yk9TMNWJD48MnEc0RERESylKjYBCq/Pc9lMeKJJqU5PKqzihEpMU3YNRsmNIe/XnFdjOixFIZfUTFCRAQ3FySAL7EuIjnZNM3lKQUb1jGB9yU+3G2a5lpHcYnP70l8eJ+RbCxh4iiLqokPpyUWMRyZZHd8U0ECuJfr37MfXaSe1I9X4jkiIiIiWcZv649S9Z35xMQ7XXqLNW+25f37a7oxKw91ZA2MyAv/6w7ndjmOKdMCHv3NWogoUc+t6YmIZGVum7JhGMbDWNdYuMj10QopKQcUTzxOqYCxHKiMdZHLssAhu7YWyeIcMk3ztGEYe4FKQHMHIanqJ1lbc6xrZoiIiIhkqui4BD5dtJdvlh90GtO/fSX6tq/oxqw81JmdsPhd2Otio7eyLaH9cCjZwG1piYh4ErcUJAzDyAuMS3w4yDTN86k8tZrd8e4UYu3bq3JjQSKt/VQCShmGkcs0zasO+rlimuZpZx2YpnnKMIxwrOtRVHUWJyIiIuIu6w5eYPCMbRw6f9VpzH/v3EneIO2i4YoRfhwWfAr//QqYjoOK1LQWIiq00xaeIiIuuGuExGisW2SuAr5Pw3kl7Y5T2q3imN1xqdvQj5F43h67tqR+UrNzxjGguoNcXDIMo2QKIbY1KaKiooiKinIVm+VER0c7PBbPoOvn2XT9PJuun2fLCtdvyppDTosRwztX5pEGJYAEj/vdwh2io6PJFX2aZgdG4781HBKcL4MW2/lzEqo/CIYX6O9qlpAV/v5J+un6ZQ0Z9X9DhhckDMNoiXVLznjgJdM0nZSSHcptdxyZQqz9/7DBGdxPSn3Y95O8j5QcSznEKiwsjIIFC6ax+6wjLCwss1OQW6Dr59l0/Tybrp9nc+f1OxoJpRN/E2nqD0t9vLkab/3E3tswqZHPpHsFC/4Xd7Bw4Q635eVJ/OIjaL/jddpbnN8IxfjkZk/R+zhcoC3mSR84uciNGUpa6N9Pz6brl3nOn0/tJIe0ydCChGEYfljXTzCAT03T3J7GLgLsjlPakSPG7jgwg/tJze4gSf0k70NEREQkQ0XGwYzDXvx73otnKyVQp4BJsC88UNbClP3elA02eax8AkW1eYZTXpZYWu59n7xRh53GxHsFsL/wXRwo3Il4b/3KJyKSVhk9QmIIUAU4CoxIx/n2peiUJjT62x0nH0+SvB9XY31S6icoFbnY95PWsS0pTfEoCmwACA0NpWTJlGZ4ZC3R0dG2ymZoaCgBAQEpnCFZia6fZ9P182y6fp7NXdfPNE1+XHOM71cd4eK1OAD+PhFIz/sbkzfQlztNk4a7z9O2ckG8vbS2gUOmBd9ZL+Oz+y+XYfH1nyeuaT/K5CqENvDM2vTvp2fT9csajh9PzaoFaZdhBQnDMKoAbyY+fDXZ4pCpFWF3nNLUh1x2x8mnVCTvx1VBIqV+glKRi30/qZneYWOapssrbb+jaWBgIIGBnluNDwgI8Oj8czpdP8+m6+fZdP08W0Zdv63HL3PvF6tuev781Vg+XnyIsQ/VBuDeeqVv+2tnG4fCYHKXlOOemoXPHa3ct12d3Db699Oz6fplnoz6vmfkv6P9sY4kOAgEGYbxqIOYGnbHbQ3DSFqw8e/EAob9zXlKQwHsRxYkX4cheT+uJsAk9WNy8+KVx4EiqcjFvp9UrwkhIiIiklYWi8kDE1bz37HLDttzB/jQqGx+9yblaU5thcUjYL/rtR82l36BKo+9rxsiEZHbJCMLEklTFu4AfktF/FC743JYF4XcafdclRTOt2/flawteT//paKfYw5GdewE6gN5DMMo6mzrT8MwimHd8tNRLiIiIiK3xcp953ni+3VO2ztUK8J799egSIiGODt08RAs/QC2/e4yLK5pf+ZG1wVS/oVURERSL6uPNDsEnASKA61SiA1N/PMEcDhZ20q741bAVEcdJI7QqJT48OYxj9Z+nrTr539OcrHP1VE/IiIiIukWG2+h9ZilnLzifBbqA/VK8PFDtW+Y7imJIs/CZzXBkgCWOOdx1bvCgz8QHxMDCxe6Lz8RkRzCK6M6Nk3zGdM0DVdf3LjQZRu7tsOJfZhA0opCVQzDaOLotRKfTypY/5V8a1HTNPdyfaTCw4ZhOFtT+hm745kO2mcBlsTjZ530Yd+PJfEcERERkdvi7y0nqfT2PJfFiKUDWvPJw3VUjEguJgKWjoTxdSE+2nExIrgI3PMpDD0PD00Crwz7dVlEJMfL6iMkAD4DegLewOeGYYSapmnbucIwjEDg88SH8YnxjowFvgfyA6OB3vaNhmGU5/oinPtxUJAwTfO0YRi/YB0l0dEwjG6maU5P1s9DQMfEh1OcTesQERERSYtrsfHUGLYAi+k85plmZRl+b3X3JeUp4mPh3x9h+Wi45mQpMf8QaN4XmrwMfrkcx4iIyG2V5QsSpmnuNQxjDDAYaACsMgzjI+AAUB4YBNRNDB9jmuY+J11NBp4DmgO9EqdnTAQuAY2wrmERgnVUQx/TNOOd9PMWcBdQCPjNMIwGwOzEtnuA1xOPzwFvp/0di4iIiNxoy7HL9Pvffy6LEeuGtNNaEcklxFvXh1g2Ei4fcR7XtDe0fB2CtPiniIg7ZfmCRKK3gMJYCwp1cbwGxPe4KACYpplgGMb9wFygIfBg4pe9GKC3aZrzXPRzzDCMLsCfQFGsBZFBycJOA/entIWniIiIiCtRsQl88s8evl95yGkxYmDHyvRqU8G9iWV1pgkLhsDar1wEGVD5bmjWG8o0c1tqIiJynUcUJEzTtADPG4bxB9bpGw2Bgli379wAfOOqiGDXz3nDMJoBPYDHgapALqwLZy4GxpmmuSMV/awzDKMm0Be4Hyib2HQI65oXn5mmeSEt71FEREQkuQPnIl0WI7a804E8Qb7uTSqrWz8R5g5wHVOpE7R7B4pUc09OIiLiUKYWJEzTHA4MT0P8XKwjHG7lNeOBCYlft9LPeazTPIamFCsiIiKSWuHRcYRHxVEyXxA1SuShR+gdfLP8oK29bIEgXm5dnkcals7ELLOgPfPht0dcx5RqDO1HQJmm7slJRERc8ogREiIiIiI5weJdZ3hr5naK5Q1g+kvN8PYy6N++Egu2n+bk5Wj6tq9Iz9A78PXWzg82Eafh48opxz3yC1TpDNp5REQky1BBQkRERCST7T8byaf/7GXOtlMAnA6PZtLqwzzfohwBvt6Me7Quufx9qFA4OJMzzUKiLsOqcbA2hUGvpZvBU3+Bj59b0hIRkdRTQUJEREQkk5imSY+fNrJo19mb2sYu2MOdVYtQukAQtUvldX9yWVVcNGyYCCs+hqhLzuNyFYbe6yEwn/tyExGRNFFBQkRERCQTbDp6iQe+Wu20vUHZfHh7a3qBTXwsbJoMKz+D8BQ2Muu7FfKVcUtaIiKSfipIiIiIiLhRgsXkns9XsP1EuMP23AE+DOtSnQfrlcDQegfWLTz3zIOpjzmPMbyh9qPQ8HkoUd99uYmIyC1RQUJERETETXZdMuj73lKXMX/3bkHZgrnclFEWd3Qt/DMMjq11HlO1C7R9BwpVcl9eIiJyW6ggISIiIpLBYuMtvL3Rm4g45yMe7q1dnPGP1XVjVlnY2V2w+F3Y42K39zIt4M4RULKB+/ISEZHbSgUJERERkQz0138n6Dv1P8B5MWL5wNaUKaBRERxdBz90AMMLTIvzuEd/hcp3awtPEREPp4KEiIiISAaIiU/gy6UHGL94n9OYHi3L8Vbnam7MKou6cAA+r3f9saNiRN4y0PZtqNENvLzcl5uIiGQYFSREREREbrPNRy8x6I+t7D0T6TRm/VvtKJw7wI1ZZUFXL8D4OhDjeIFPAIIKQqs3oP6z4OPnttRERCTjqSAhIiIicpuNW7zPaTFiQPvy9G5fxc0ZZTFx0fBDRzj1n+u4VoOhWW/wz+2WtERExL003k1ERETkNjhw7noB4r37ahDk52177G0YlM9tMqphPM83L5MZ6WUNpgk7/4IPiqRcjHh5NbR5U8UIEZFsTAUJERERkVtwJSqOwX9spf0ny1l94DwApfIH8UbHygBULx7C7z0b0KdGAoE5eWzqoTD4rh1Me8p13JMzYfgVKFLdPXmJiEimycn/LYqIiIjckmkbjjF24R7ORsQAMPiPbSzoF0qgnzdPNS1LLn8futYtQVxsDMe2ZnKymeXUVlg8AvYvch137xdQ70n35CQiIlmCChIiIiIiabTndAQdPwu76fmjF6/xyT97eKtzNby8DB5qUAqAOHcnmBVcPGRdsDIlLV+Hdu9keDoiIpL1qCAhIiIikkqmafL0jxsI23vOYXsuP2/KFMjl5qyymMhzEDYaNv7oPCZ/eWg3FKrdD4bhttRERCRrUUFCREREJBX+PXKRByescdreqlIhPnygJiXyBroxqywkJgJWfwFrvoBYJ9udBheB1oOh7pPg7eve/EREJMtRQUJERETEhQSLSefxK9h9OsJpzN01i/Ll4/UwcuKn/TGRsG4CrP0arp13Htd2KDR5Gfxy+AgSERGxUUFCRERExIklu8/w3KSNLmPm92tJlaIhbsooC0mIh/91h73zncd4+0GD56HhC1CwgvtyExERj6CChIiIiEgy0XEJNB25mEvXnC9H+WC9knz8cG03ZpVFmCYseAvWfukiyIA6j0PrNyFvKbelJiIinkUFCRERERE7O0+G0+vXTS6LESveaEOp/EFuzCqLWD8R5g5wHVOpk3XXjCLV3JOTiIh4LBUkRERERICY+AS+WLKfCcsOEG8xHca83Lo8g+6q4ubMsoDz++GL+inHPfUX3NE6w9MREZHsQQUJEREREWDz0ct8vmS/0/aNb7enYLC/GzPKAiJOw7JRsOkn13F1n4B7v9AWniIikiYqSIiIiEiOdTUmnmuxCRTK7U+TOwrwcIOSTNt43NZeMNiPl1tX4PkW5TIxy0wQfQVWjYM1X0F8lPO40s2soyJ8/NyXm4iIZBsqSIiIiEiOtGLfOd6csY0KhYP58ZmGGIbBW3dXY+mec1y6GssrbSrQq015/H28MztV94m+AmFjYfMUiLrkPC5XYei9HgLzuS83ERHJdlSQEBERkRzl2MVrjFu8j+n/WkdCHL8UxZ//naBr3ZLkCfJl3CN1yJfLj6rFctBWnpYE2DIV/nrFeYxPIDR5ybqFZ56S7stNRESyLRUkREREJMfo/7//mLn5xE3Pj/h7Jy0rFqJgsD/NKhTMhMwyiWnC3vmwaASc2+U4xvC2rhHRejCEFHdvfiIikq2pICEiIiLZ3s6T4dw9foXT9kpFchMdl+DGjLKAo2vhn2FwbK3zmKpdoO07UKiS+/ISEZEcQwUJERERybZM0+TxietYc/CCw/Zgfx8Gd6rC441K4+WVQ3aI2DETfn8m5bgnZkCFdhmejoiI5FwqSIiIiEi2tO7gBR751sWn/8Cs3s25o1CwmzLKZEfXwQ8dXMcUqQnth1sLEdrCU0REMpgKEiIiIpKtxCdY6PBZGAfPXXUa07ZKYb5/ugFGTrjpvnAAPq/nOiZvaWg7FGp0Ay8v9+QlIiI5ngoSIiIikm0s3HGanlP+dRnzT/9QKhbJ7aaMMtHVCzC+DsSEu4676yNo8Cz4+LslLRERkSQqSIiIiIjHi0uw8G3YQcYs2OM05tGGpRj1YC03ZpVJEuJh8xSY3R8wXce+tks7Z4iISKZRQUJEREQ82vYTV3hj+lZ2nnI+EmDV4LaUyBvoxqwygWnCrlmw+F24sN917MuroUh19+QlIiLihAoSIiIi4rFM02TYrB1OixF92lbgtQ6V3ZxVJjgUBouGwwnX01V4ciaUb+uWlERERFKigoSIiIh4nJOXoyieNxDDMPigaw26fL6SuATr9AQvA8oVzMXvLzUjfy6/TM40g53aCt+0TDnu3s+h3lMZn4+IiEgaqCAhIiIiHiMyJp7R83fz2/qj/NmrOdWL56FK0RBeaV2BcYv3UalIMB89WIu6pfNldqoZ69JhWPIBbJvmPKZ4XWg/Au5o5ba0RERE0kIFCREREfEI87ad4v05uzhxOQqAN6Zv5a9ezfHx9uKVNuXJG+RL98Zl8PPJxttWRp6DsDGw8QewxDmOyV8e2g2FavdDTtjWVEREPJYKEiIiIpKlHTp/lTZjl930/I6T4Xy74iCvtK6Av483zzYv5/7k3CXiNCx5H3bMhNhI53H3fAp1nwRvX/flJiIikk4qSIiIiEiWZJomr/62mdlbTzlsD/D1IpdfNv9VJiYSvm3letcM/xBo3gcaPA9B+d2Xm4iIyC3K5v+Li4iIiCfafuIK93y+0ml70zsKMOrBmpQpkMuNWblRQjz8rzvsne88xtsPGvWEFq9BrgLuy01EROQ2UUFCREREsgyLxeTRb9ey/vBFpzHtqxZm4lMNMLLj+gimCQvegrVfuo6r/Ti0eRPylnZPXiIiIhlABQkRERHJElYfOM/jE9e5jPmrV3Nql8rrnoTc7cS/MLFtynHPzoMyzTI+HxERkQymgoSIiIhkqrgEC+0+Xs7Ri9ecxnSsXoSvn6ifPUdFnN8PS96FnX+5jms7FEIHuCcnERERN1BBQkRERDLNvjMR9Phpo8tixKLXWlGhcLAbs3KTiNOwbBRs+gnMBOdxdZ6A+77QFp4iIpLtqCAhIiIibheXYOHrZQf4fMl+YhMsDmOebFKG9+6v4ebM3CD8JPw5FA4sgfgo53Glm8JTf4GPv/tyExERcSMVJERERMTtwvae4+N/9jptX/NmW4rlCXRjRhnPyxJLuXOLCZzwlPOggLzQ8nVo+Dz4ZdMdRERERBKpICEiIiJuER2XQGyChZAAX9pWKcyd1Yrwz84ztnY/by96talA3/YVMzHLDGBJwHvbVNrtfJegOCe7h/gEQpOXoHk/CMzrzuxEREQyjQoSIiIikuHWHbzA4BnbqFs6L588XAfDMHj//hqsPXiBqzHx9Ai9g/7tKxHg653Zqd4+pgl758OiEfid24Wfs7h6T0PrwRBS3J3ZiYiIZDoVJERERCTDnIuIYdzivfy89igAh85fpUvt4rSpXJgiIQGM6Vab4nkDqFUyb+YmerutGgf/vOM6xi83dJ+mLTxFRCTHUkFCREREMsQ7f23npzVHbnr+rRnbWPhaK4L9fbirRtFMyCwD7ZgJvz/jMiShVFO8O74PJRu4JycREZEsSgUJERERua0OnIuk3cfLnbYXyRPAlag4gv2z0a8hR9fBDx1chlwJKMXO4g9Tp9sAAoOC3JSYiIhI1pWNfhMQERGRzGSaJi/9/C8Ldpxx2B7o683AjpV5ullZvL0MN2eXQS4fg89S3po09p4vWHY8GAwvMLLJexcREblFKkiIiIjILdty7DL3fbnKZczsPi0oXyjYTRllsNhrsG4CLB/tOi5fOXhpBQkWHzix0D25iYiIeAgVJERERCTdLBaTrhNWs+XYZacxDcvm4389m+KVHUZFJMTD5imwbBREnnYd+9qu6ztnREVlfG4iIiIeRgUJEZH/t3ffYVJV5wPHv2cLLF0QRIqFIoIFOzYEAXtJrInRGHuJJpYklsQYNYmJGJMYk/iLxp4Ye29RUakWQKOggkpTUJGmSFuW3T2/P2aQZZmZpezMzrDfz/Pss/fe894z73q97My7554jab2M+mguJ98+NmPM0z/uzw5d2uQooyyKESY9CS/9GuZPyRx77hjYvO7HOCRJauwsSEiSpHVSVR25c8x0fvvMpLQxR/TtxF+/twthY5gvYfoouPuIzDHtesBhf4CeQ3KTkyRJGwELEpIkaa19MHsRlz4yIeMjGq/8bH+6tW+Ru6SyZfZEGHY1TBmWPqbHYBhyFXTeOVdZSZK00bAgIUmS1kqMkQvu+x8ffLEoZftp+27NVUdun+OssuDLGfDytTDxISCmjum8CxxwNXTfP3d5SZK0kbEgIUmSMvpySQVtWzQhhMBvjtqB79zy2mrtmzQv5fmLBtCxdVkDZVhP5kyCpy6ET9+C6hXp446/C7Y7yuU7JUnaQBYkJElSSssqqvjTix9w39iZPHNBf7batAX9urXj5L224l+vf0z3Di0Yemxf9ti6XUOnumEWzYY/9ibtaAiAlh1h4GWw6w+guDRnqUmStDGzICFJktYw4sO5/OqJd/l4/lIALn9kIv85a09CCFx2aG86tm7Kmft1p6y0uIEz3QDLF8OtAzOvmtG0Nex7Aex1HjTZCObFkCQpj1iQkCRJ3/j0q2Xse93Laxx/bdp87h83k+/125KWTUv40eBtGiC7elJVCQ+cBB/+N3Pc3j+C/j+BFpvmJi9JkhoZCxKSJAmAnz86gfvGzkzZ1qSkiGUVVTnOqJ7FCFNfgn8fW3fs2cMTE1dKkqSssSAhSVIj99EXizjwzyPTtu+2VVuGHtuXnpu1zGFW9ezTN+HFq2DGqMxxx94OOx6Xm5wkSWrkLEhIktRIxRg54+7xvDx5TtqY/bZpz92n9aOoqEBXlJg3BV7+Nbz/ROa4wVfCgJ/lJidJkgRYkJAkqVF665MvOebmVzPG3H/2XuzVvUDnT5g3Be49Dr76BGKGR012/j58+28u4SlJUgOwICFJUiNSVR058q+jef/zr9PG7N19029W1Cg45QthzF9gzE1QvSJ1TOsuMOgXsNP3oKiAVwmRJKnAWZCQJKmRmD5vCafcMZZPFixNG/PsBfuxXefWOcyqnqwoh3G3wagbYNmXqWPKNoH9fgr9zoLSZjlNT5IkrcmChCRJG7nKqmruGDOdP77wIcsrq1PGHLVzZ248oQBXlaiuggkPwCu/g4WpVwgBoP/FsO9F0GyTXGUmSZLqYEFCkqSN3DMTP+d3z05O2z7ykkFsuWnzHGZUD2KEpy+CN+9KHxOKoMvucPgN0GmnXGUmSZLWkgUJSZI2Qssrq4gRykqLObJvZ/79+seMm7H6owxnD+jOLw7r00AZboAxN8GLV2aO6XMkDP4VdOiVm5wkSdI6syAhSdJG5q1PvuSyhycwoFcHrjxiO4qKAtcd25dD/zKKFVXVnLL31lxy8La0aFpgbwPeexweOiVzzFb94YCrYYs9cpGRJEnaAAX2TkSSJKXzdfkK/jLsI+4YM50YYcrcxRzetxO7btmWHh1a8tujdqBHhxbstlW7hk513cyfCn/dte64kx6Gnge4hKckSQXCgoQkSRuB6/87mZuHT13tWIxw2cMTePqC/jQtKeY7u2/RQNmtp6ULYNQfYew/M8f1PBC+dz8U+7ZGkqRC4m9uSZIK2MwFS9nv+lfStjctLWLBkgo6tSmgZS4rlsIb/wej/wLLF6aPa9sNzh0FTVvlLjdJklRvLEhIklSgfvbQOzz85qyUbU1Lirj4wF6c2b8bJcVFOc5sPa0oh3f+A8OHwuLZmWN/Mglad85NXpIkKSssSEiSVGA+/GIx3/7HyxljnrmgPz03K5CRAzHCpCfhwR+kjykqgW0OgkFXwOY75C43SZKUNRYkJEkqEDHCPyYVMfm1sWljtu3Yimcv3I/iogKZ2HH6KBh2FXz6ZvqYHY6DwVdAu+65y0uSJGWdBQlJkgrAW598xUWvZ/61/fC5e7P71gWygsbsiTDsapgyLH1Mj8Ew5CrovHOuspIkSTlkQUKSpDxWXR25942PufKJ99LGDOjVgbtP24NQCMtdThsB958EFYuBmD7uB09A9/1zlZUkSWoAFiQkScpT0+Yu5vJHJjJ2xoK0Mc9fNIBtNy+AuSLmTIKb98oc0647DL4StjsKigpkIk5JkrTeLEhIkpSHqqojp901jo/nL03ZftxuXbnh+J1ynNV6WDQb/tQHYnX6mJYdYeBlsOsPoLg0d7lJkqQGZUFCkqQ8smR5JS2allBcFPjl4dtx1j3j14gZduHe9OyU53NFLF8Mtw6E+VMyxw3+Jex1HjRpkZu8JElS3rAgIUlSHihfUcVfX/6IB8bN5LkLB9ChVVMO3K4jR/TtxNMTPqfrJmV8q/MStm0T6bJJs4ZON73qanj3EXj0zLpjf/QmtO+Z/ZwkSVJesiAhSVIDGzt9AT9/dAJT5y4B4Kon3+Xmk3YD4Opvbc8W7Zpz5t5dGT38pYZMM7MYYepLiZUzZk/MHHvac7DVPjlJS5Ik5S8LEpIkNZC5i5azx7VrLnv57MTZ/Pfdzzlkh060b9mUyw7pzbJlyxogw7X06Zvw4lUwY1TmuGNvhx2Py01OkiQp71mQkCSpAfzu2UncOnJayraSosCsL/O4ALHSF+/B/63FSIfBV8KAn2U/H0mSVFAsSEiSlEOfzF/KgD+8kra9b9c2DD22L306tc5hVuto0WwYfh28dU/6mA69YcivYNvDIITc5SZJkgqGBQlJknLkovv/x+Nvf5a2fa/u7fj3GXtSUlyUw6zWQflCGPMXeP3/YEXq5Uhp3QUG/QJ2+h4UFec2P0mSVFAsSEiSlGXvf/Y1h92UeX6Fu07bg/233SxHGa2j8oWJ0RCj/gjLvkwfd+BvoN9ZUJrHq4BIkqS8YUFCkqQsiTFy4j/f4LVp89PGbN+5NU/+qD/FRXn4WENlBfz7mMyTVZaUwQ7HwsBLoe3WOUtNkiQVPgsSkiRlwcwFSznxtteZuSD95JSPnrcPu27ZNodZraUY4emL4M270seEItjlZNj/cmjdOVeZSZKkjYgFCUmS6lF1deSe12Zw/fMfsLSiKmXMkN6bcdspuxPycbLHMTfBi1dmjulzJAz+FXTolZucJEnSRilrBYkQQmvgMGAPYHegC9ABaAZ8BbwPPAvcHmNMP5Z1VX/7AOcB+wEdk328A9wVY7xvHfL6HnAa0BfYBPgCGAX8Pcb42lr20Rz4EXA80ANoCswEngFuijF+vLb5SJI2Lg+On8nVT72ftv3FiwewTcdWOcxoLa3tEp5nDIMt9sh+PpIkaaOXzRES/YB0hYIOwMDk1yUhhO/HGJ9P11EI4WrgSqDmtOMdgYOAg0IIJwHHxRjLM/TRDHiYRJGkpi2Bk4DvhRB+HWO8JtMPFULoSaKQsk2tpm2TX2eGEE6KMT6dqR9J0sZjRVU1AKXFRRyza1fuHDODD75YtFrM9/ptye+P2bEh0svsq5kw/PfwTh21/T3PhUOucwlPSZJUb7K9rthM4B7gQuAYYG9gX+C7wENAFdAeeDKEsFOqDkII5wBXJXOdCpxBothxFLByIffDgTvqyOUOVhUjXkme3y/Z39Rk/1eHEM5O10EIoRWJURArixH/BIYA+wBXAIuB1sADIYSd68hHkrQRePfThXz7b2O4ZcRUAJqUFDH0uL6snKPye/22ZMLVB+VfMWLpAnj+CvjrbvD2vRCrU8f1PACunA+HDrUYIUmS6lU2R0i8EmPcMkP7gyGEo4DHgCYkig7H1AwIIbQDhiZ3PwH2ijHOq9H+dPL8I0mMcLg1xji89guFEAYDJyR3nwKOjjGufLB3XAjhSeBNEqMlhoYQHooxplrX7BJg5QOzl8YY/1Cj7bUQwnBgBNAcuBHYP8PPL0kqYMsqqrjp5Y+4deQ0qqojU+Ys5pAdNqfnZq3YeYtN+Pmhfdi+S2v26dG+oVNd3ZL5MO6f8NrNsHxh+ri23eDcUdA0Dx8vkSRJG4WsjZCo8YE/U8zjwAfJ3f1ShJwJtEluX1azGFHjNc4jMdICEgWDVH6W/F4JnFc7t2S/lyV3N0m+7mpCCKXABcndScAfU/w8rwK3J3cHhhB8yFaSNkI3D59Cn1/9l/8bPpWq6ghARVU1lz484Zv9swZ0z69iRFUljL8T/tA98YhGqmJEaQvY6zz4ySS48G2LEZIkKavyYZWNlQ/ZlqVoOyr5/Wvg0VQnxxhnhRCGAQcDQ0IIrWKM3zy4m3zMYkhyd1iMcVaaPB5Nvk5r4GjgD7XaB7GqOHJ3jOnGtnIXcE5y+2hgXJo4SVKB+eLrcvb83Utp25csr2L+4uVs1jrVr7QGEiNMehJe+g3M/yh1TFEJ7HYaDLwUWm6W2/wkSVKj1aAFiRDCtsDOyd3JtdqakJjjAeC1GGNFhq5GkChINCWxoscrNdr2IPFIyMq4lGKMFSGE10lMlLlHCKE0xriiRkj/Wq+XznhgKYnHNvbNECdJKiC/fup97hgzPWVbaXHg/EE9OW//njQpyfb0TOtg+igYdhV8+mb6mB2OhUFXwKY9cpeXJEkSDVCQSC6Z2YXEvA+X1sjhxlqhvYDi5PZkMqvZ3ofVCxLbpYlL189ByZy2IbE06Tr1E2OsDCFMIbGsaJ86Xk+SlOemz1vCoBuGZ4x56sf96b1569wktDbevg8eP7fuuLNHQOeds56OJElSKjkpSIQQTgXuzBByHfCfWse61thO95jFSjNrbG9Rj/3ULEis7GdJjPGrteinL9AhhNA0xri8jvhvhBC61hGy+cqNZcuWsWzZsrXtOi+Ul5en3FZh8PoVNq/fuokx8pOH3+O/789JG9OpdVP+e8HeNCkuyvq/x2tz/Yo+Hk3T+4/L2E/15n1ZMfBKqrdOTt1UYL9HCpX3X2Hz+hU2r19h8/rlh2y9z2noOSTeBs6OMaaaZ6HmTFqL6+hnSY3tllnup64+UvWz1gUJVi+KZDRy5Ejat8+jCdPW0ciRIxs6BW0Ar19h8/plNnMx3DAx86/IH/apovcmSxj+0rAcZbVK7evXatksBk/+RcZzFjftyKROx/HZJnvAh8vgwxeymaIy8P4rbF6/wub1K2xev4Yzb968uoPWQ64KEo+TmFsBoBnQA/gOiUkf7wshXBRjfLrWOTVnBMs0fwSs/oG/WZb7qauPuvqRJOWpGOGNuYH7phanjdmqZeSiHaooCjlMLI2mK77i4HcvJBAzxr2zxal8vOkAYmjov0NIkiStkpN3JslHHL6qcWgccH8I4WTgbuCJEMIZMca7asTUHI/ThMya1tiuPZakvvupq4+6+qlL7UdOatuc5ModAwYMoGvXup7wyC/l5eXfVDYHDBhAWVkezUSvOnn9CpvXL7OZXy7jqqcn89q0L9PGPHjm7uzYpWHmiljt+u27Fy0mP0STYVdkPCeWNKP83LH0atGBXrlIUml5/xU2r19h8/oVNq9ffpg1q67ZD9ZPg/6pJMb4rxDCESRGS/wthPBkjHFBsnlRjdDaj0/U1qLGdu1HKuq7n7r6qKufjDIsSwpACKv+JNesWTOaNSvcARhlZWUFnX9j5/UrbF6/1VVUVnPK3a/y+cLUz6YevH1H/vH93Vb7N7hBxGq6fPkGbf59JUVffZw59kfjCe23cZheHvL+K2xev8Lm9StsXr+Gk63/7vmwNtkTye8tgENqHK/5wbyuYQA1RxXUnoOhvvtpEULYZC37mbsuE1pKknKrorIagCYlRVx8YOoxBMN+MpBbTt69YYsRMVI0fTgDP7iK3T/+v8zFiFOfhasXQvttcpefJEnSesiHh0nn1tjeqsb2h0AViaU/e9fRR832SbXa3k8Tl6mfSuCjFP0cWyPu9VQdhBBKSMyRkSoXSVIeqKis5pYRU3n4rVk8/eP+tCor5fjduvLk258xeso8OrUp49qjd2Bw744NnSrMehNuG0xTVn8ecA3H3AZ9j89RUpIkSRsuHwoSXWpsf/N4Q4yxIoQwFtgb2DuE0CTGmG5CyYHJ78tZNXnmSuNITETZJBl3XaoOQghNgL1WnhNjXFErZHSt10tZkAB2Z9UjG2PSxEiSGsiEWV9x6cMTmDw78STe0P9O5rdH7UgIgd8fsyO3j57OTw/qRauy0oZNdN4UePk38P7j6WO69oMDr4Gt9slZWpIkSfUlHx7ZqPnnnIm12h5Pfm8NHJPq5BBCV+CA5O5LMcaac0aQ3H8puXtAMj6VY5KvA/BYivbhwMLk9ikh/djdU2tsp+pHktQAyldU8ftnJ3HU38d8U4wA+Pfrn/D6tPkAbNGuOVd/a/uGLUYsmg1PXQR/75e2GFG9aS844T9wxgsWIyRJUsHKWkEihHBqCCHjFKghhIuBw5K704FRtUJuY1UR4LoQwqa1zi8GbibxWAfAH9K81A3J7yXA35Pn1eynPTA0uftV8nVXkxydcVNytw/wsxQ/z97AGcndETHGcWnykSTl0OvT5nPIjSO5ZeQ0qmutkFlcFHjvs68bJrGavpoJ//0F3LQLvHknxKqUYf/b8kyWn/4K9D4cGnqSTUmSpA2QzUc2rgb+GEJ4hMTjDlNJPJLRCtgROAnYNxlbAZwd4+rvvmKMC0IIlwH/IDG/xBshhGtJjKToDFwEDEqG3xdjHJ4qkRjjyyGE+4ETgG8BL4YQbgQ+S+ZyBbBlMvyyGGO6Nd/+AHwX6AVcH0LoCdxPYmnPQcAvSPw3XZbMTZLUgBaVr+C65yZz7xufpGzv06k11x/blx27tslxZjWUL4Sb94avP00fU7YJK3Y7kxe/7sGKkhb0LipOHytJklQgsj2HRDvgrORXOrOA02OMw1I1xhhvCSF0Bq4kMVnkHSnCngVOryOX00k8knEYieLBoFrt1cBvYoy3pusgxrgohHB48vW2Ac5OftX0NXBSjPHtOvKRJGXRy5O/4IrH3k25lGeT4iIuGNKTcwb2oLS4gZ5erFoB/zoaZtQeHFhDSRnseS70v4hKyljxwgu5y0+SJCnLslmQOBg4nMQoiJ5AR2BTEqMH5gBvA08DD8YYl2bqKMZ4VQjheeB8YL9kX18B7wB3xhjvqyuZGOMy4PAQwokk5nnYCdgE+ILEoyJ/izG+thb9TAkh7JLM5fjkz9aExDKhzwJ/iTHWsTi8JClbFiyp4NdPvcfjb3+Wsn3XLTfh+uP60nOzVjnOLClGePrixGMZ6YQi2OVk2P9yaN05cWzZstzkJ0mSlCNZK0jEGD8APgD+VE/9vQq8Wg/9/Af4zwb2sQS4PvklScoDMUaemvA5Vz/5HguWrLkoU7PSYi49ZFt+sPfWFBc10NwLn7wBdxxUd9x5b0CHXtnPR5IkqQHlw7KfkiRtsEmfL+KC+/6Xsq1/z/b8/pgd2aJd8xxnlTRnMrz0a/jgmcxxhwyFvc7NTU6SJEkNzIKEJGmjsF3n1nyv35bcN3bVBJaty0r45RHbcfxuXUm/WnMWLZwFr/we3vkPxOr0cXueC4dc56oZkiSpUbEgIUnaaPz8sN68MnkOs78u5+DtO/Kbb+/AZq0zrkCdHfOnwug/wYSHoGp5+rieB8D3HoBifx1LkqTGx3dAkqSCUlUdCUBRinkgWpeVMvS4viwur+SwHTfP/aiIiqXwxj/gpWvSxzTfFPr/BHY7BZo20MSakiRJecCChCSpYHwwexGXPjKB7+6+BSfuuWXKmIG9OuQ4K6CqEv73LxgxFBZ9njqmtAXsfT7s82Moa53b/CRJkvKQBQlJUt6rqKzm5uFT+PsrU1hRFZk6ZzGDenegU5tmDZtYjDDpSXjpNzD/o9QxRSWw22kw8FJouVlu85MkScpjFiQkSXnt7ZlfcdnDE/jgi0XfHFu8vJIrHnuX20/ZvWEmq4TEZJUjrqs77rzXof022c9HkiSpwFiQkCTlpWUVVfzxhQ+4Y8x0quOa7TPmL+HLpSto16JJbhN7+z54vI6lOXsMhiFXQeedc5KSJElSIbIgIUnKO69Oncflj0zkkwVL12grLgqcM6A7FwzZhrLS4twlNX0k3H1k5phOO8OB10D3/XORkSRJUkGzICFJyhsLl63guucmcd/YmSnbt+vUmuuP68sOXdrkLqm5H8Df+9Udd9ydsN1RUFSU9ZQkSZI2BhYkJEl54cX3v+CXj0/ki6+Xr9HWpKSIC4dsw9kDulNanKMP/MsXw2t/h+G/yxzXcQc440Vo0jw3eUmSJG0kLEhIkhrUvMXLufrJ93h6QurlMnffqi3XHduXnpu1zE1ClRXw1t2JJTyXzE0fV1IGF70LLRtgmVFJkqSNgAUJSVKDuvThCbw8ec4ax5s3KeayQ3pz8l5bUVSUg5U0qqvhvUfh5d/AlzMyx54/Djr0yn5OkiRJGzELEpKkBvXzQ3sz+qN5VFRVf3NsQK8O/O7oHejaNgePQcQIU1+Cfx+bIShAcRM4+THYet/s5yRJktQIWJCQJDWobTq24keDe/KnFz+kTbNSfnXEdhyzaxdCyMGoiE/fhGFXJ1bQSJvgwXDAVdBx++znI0mS1IhYkJAk5URVdaQ4zaMX5w7sweLllZy1X3c6tGqa/WTmTUk8mvH+4+ljuvZLLOG51T7Zz0eSJKkRsiAhScqqyqpqbh89nacmfMYjP9yHpiXFa8Q0KSniF4f1yX4yi2bD8OvgrXsgVqWP++690PtwyMUoDUmSpEbKgoQkKWsmff41lz0ygQmzFgLwt5en8NODts19IuULYcxf4PX/gxVLU8e07gIDL4OdToCSHIzSkCRJauQsSEiS6t3yyir+/vIUbh4+lcrq+M3x/xs+lUN36MR2nVvnJpEV5TDuNhh1Ayz7MnVM2Saw30+g39lQ2iw3eUmSJMmChCSpfr31yZdc9vAEPpqzeI22qhh5fdr87BckqqtgwgPwyu9g4czUMSVlsOe50P8iaNY2u/lIkiRpDRYkJEn1YmlFJTc8/yF3vjqdGNds79GhBdcf15fdtmqX/WQeOgUmPZW6LRTBLifD/pdD687Zz0WSJEkpWZCQJG2w0R/N4/JHJzDry2VrtJUUBc4d2IMfDe5JWemaE1pmxY7Hpy5I9DkSBv8KOvTKTR6SJElKy4KEJGm9LVy2gmufeZ8Hx89K2b5Dl9YMPbYv23duk9vE+nwLuuwGn76Z2N+qPxxwNWyxR27zkCRJUloWJCRJ6+X592Zz5ePvMmfR8jXampYUcfGBvTizfzdKiouyk8DCWVC5HDbtsWZbCHDANfDfyxOFiJ4HuISnJElSnrEgIUlaZ29+/CXn/OvNlG39tm7HdcfuSPcOLbPz4ksXwOg/wRu3wtb7wsmPpY7rth+cMwqKslQQkSRJ0gaxICFJWme7bdWWQ7bfnP++N/ubYy2aFHP5YX04qd+WFBVlYTRCxVJ44x8w+kZYvjBxbOrLMG04dN8/9TkWIyRJkvKWBQlJ0nr59be359Wp8/i6vJL9t+3AtUfvSJdNmtX/C1VVwtv/huHXwaLP12wfdjWc9YqPZEiSJBUYCxKSpLSqq2Pa0Q6btS7jt0fvSFV1NUft3IVQ3wWBGBMrZbz0a5j/UeqYohLosjtUlkNpFoohkiRJyhoLEpKklKbOXczlj0zg9H27ceiOnVLGfGunztl58emjEiMfPh2fPmaHY2HQFakntZQkSVLesyAhSVpNZVU1t46axo3DPqKisprp85ayd49N2aR5k+y/+OyJMOwamPJi+pgeg2HIVdB55+znI0mSpKyxICFJ+sZ7ny3kskcm8O6nX39zbN7i5fz2mUnccPxO2XvhRV/Ai1fChAeBmDqm085w4DXpJ7CUJElSQbEgIUmifEUVf335I/4xYhpV1WsWBMZOX8DX5StoXVaanQSKSmDys6QsRrTrDoOvhO2OctUMSZKkjYgFCUlq5MbPWMClj0xg2twla7SFAKfv242fHtSL5k2y+Cujxaaw74Xwym9rHNsM9r8cdv0BFGepECJJkqQGY0FCkhqpJcsr+cPzH3D3azOIKQYmbLNZS4Ye15ddt2xbfy8aY/rlOfc+D8beCiuWQf8LYa/zoEmL+nttSZIk5RULEpLUCI2ZOp+rnv6QT79atkZbSVHgvEE9OX9QD5qWFNfPC1ZXw3uPwpi/wMmPQYv2a8Y0aQHf/Rdsuk1ixIQkSZI2ahYkJKkRWbICHv+4iLGvvZOyvW/XNlx/XF96b966/l506suJJTw/T77myD/AoUNTx265V/29riRJkvKaBQlJakTu/LCIj75ec2LIpiVF/OygbTlt360pKa6niSM/fStRiJg+YvXj426HvX4Ibbeun9eRJElSQXK6cklqRA7fsppQayWLvbq34/mLBnDWgO71U4yYPxUeOhX+OWjNYgRA9Qp45/4Nfx1JkiQVNEdISFIj0q0V7Ld5ZOTsQKumJfz8sD6csMcWFBWlmWhyXSyaDSOGwlv3QHVl6pj228KQX0Hvwzf89SRJklTQLEhI0kYoxkhIs5rFEVtW07FzV35ycG86tWm24S9WvhDG3ASv3wwrlqaOadUZBv0cdjoRiv3VI0mSJAsSkrRRqa6O3PPaDIZNmsPdp/ejOMXIh6bF8OtDe9Os2QYWIyqXw7jbYOQNsGxB6piyNrDfT6Hf2VBaD8UPSZIkbTQsSEjSRmLKnEVc9shE3vz4SwDuenUGZ/Tvlr0XfPpiePve1G0lZbDnudD/ImjWNns5SJIkqWBZkJCkAreiqppbRkzlppemUFFV/c3xG57/gAP7dGTLTZtn54X3PHfNgkQogl2+DwMvhzZdsvO6kiRJ2ii4yoYkFbB3P13It/42hhte+HC1YgTAshVVvPLBnOy9eKe+sOPxq/Z7HwHnvQ7f+qvFCEmSJNXJERKSVIDKV1Rx47CP+OeoaVRVxzXat9q0Ob8/Zkf26dF+w15o7gewdAFstXfq9kFXwOI5MPhK2GKPDXstSZIkNSoWJCSpwIydvoDLH5nAtHlL1mgrCnDmft25+IBeNGtSvP4vsnAWDP89vP0faNsNzn8DikvXjGvXDU55cv1fR5IkSY2WBQlJKhCLl1cy9LnJ/Ov1j1O2b9uxFUOP68vOW2yy/i+ydAGM/jO8cQtULU8cWzAV/vcv2P309e9XkiRJqsWChCQVgFc+mMMVj07ks4Xla7SVFgd+NGgbfrh/D5qUrOfUQBVLYewtiWJE+cI124dfB32/C01arF//kiRJUi0WJCQpz42ZMo/T7hyXsm3nLTbh+uP60qtjq/XrvKoS3v53ouCw6PPUMaUtYLdT169/SZIkKQ0LEpKU5/buvil7dmvHG9MXfHOsrLSInx20Laft243iorDuncYI7z8JL/0a5n+UOqaoBHY7DQZeCi03W8/sJUmSpNQsSEhSnisqClx3bF8OuXEkyyur2afHplx3TF+23LT5evW36aLJNP3XjfD5W+mDdjg2sYLGpj3WL2lJkiSpDhYkJClPxBgJIfVoh27tW/DLw/tQWlzEd/fYIm1cRkvmsufUP7L51++kj+k+CA64Cjrvsu79S5IkSevAgoQk5YGZC5byi8cm8sP9e7BPj/YpY07ee+sNe5GyTWi5fHbqtk47wwFXQ49BG/YakiRJ0lqyICFJDaiqOnL3qzP4w/MfsGxFFR/PX8rzFw2gWZPi+n+x4lImdTqOPWb8fdWxdt1h8JWw3VFQtJ4rdEiSJEnrwYKEJDWQj75YxKWPTOB/n3z1zbFPFizlTy9+wBWHb7f+HVdWQEmTlE2fbbIHXzXbmjZFSwj7Xw67ngLFpev/WpIkSdJ68s9hkpRjFZXV3PTSRxx+0+jVihErPffubJZWVK57x5UVMPafcOOOMPvd1DGhiPHdzqf87NdhjzMtRkiSJKnBOEJCknJowqyvuPThCUyevShl+/f32pLLDulN8ybr8M9zdTW89yi8/Fv4cnri2EvXwEkPpQxf0rQjNGmxrqlLkiRJ9cqChCTlwLKKKm4c9iH/HDWN6rhme7f2LbjumB3Zs/um69bx1Jdh2NXwea2VMz56AWaMhq37r3fOkiRJUjZZkJCkLHt92nwuf2QCM+YvXaOtuChw1n7dueiAbSgrXYeJLD99K1GImD4ifcxHL1qQkCRJUt6yICFJWbKofAXXPTeZe9/4JGV7n06tuf7YvuzYtc3adzp/Krz8G3jvsfQxXfeAA66Brfddx4wlSZKk3LEgIUlZEGPklDvG8laKSSubFBdxwZCenDOwB6XFazm38KLZMGIovHUPVKeZ8LJ9LxhyFfQ+HEJY/+QlSZKkHLAgIUlZEELgR4N7cvpd41c7vuuWm3D9cX3puVmrteuofCGMuQlevxlWrPnIBwCtOsOgn8NOJ0Kx/6xLkiSpMPjOVZKyZHDvjhy1c2cef/szmpUWc+kh2/KDvbemuGgdRi+MvAFevSl1W1kb6P8T2PMcKG1WP0lLkiRJOWJBQpKy6FdHbs+K6sjlh/Rmi3bN172DfS6A8XdAxeJVx0rKEkWI/hdDs7b1l6wkSZKUQ2v58LIkqbYYI/eN/YQL7vsfMaZYyxNo16IJfz9x1/UrRgC07AB7/yixHYpg1x/Aj9+CA39tMUKSJEkFzRESkrQeZsxbws8fnchr0+YDMLj3Zhy1S5f162zmWPjqE9jxuNTt+/wo0d7/Iuiw7fq9hiRJkpRnLEhI0jqoqo7cMXo6f3zxA8pXVH9z/Jqn3qP/Nu1p37Lp2nc29wN46dcw+Wlo2hp6DIbm7daMa9oKjv6/eshekiRJyh8+siFJa+mD2Ys45uYxXPvspNWKEQBfLl3Bf9+dvXYdLfwUnvgR3LxXohgBsPxrGPXHes5YkiRJyl+OkJCkOlRUVvP3V6Zw8/AprKhac66ILps043fH7MjAXh0yd7R0AYz+M4y9FSrL12wfe2tisspNtqynzCVJkqT8ZUFCkjJ4e+ZXXPrwO3z4xeI12kKAH+y1FZcc0puWTTP8c1qxFMbekihGlC9MHdOsHQy4BFp2rKfMJUmSpPxmQUKSUlhaUcmfXviQO8ZMpzrFAhrdO7Rg6LF92WPrFHM+rFRVCW//G4ZfB4s+Tx1T2hz2Ph/2+TGUtamf5CVJkqQCYEFCkmp5dco8Ln90Ip8sWLpGW3FR4JwB3blgyDaUlRan7iBGmPRUYsLK+R+ljikqgV1PgYGXQStHRUiSJKnxsSAhSTW8PPkLTr9rfMq27Tq15vrj+rJDlwwjGcq/hn8dDZ+m7gOA7Y+Bwb+ETXtsYLaSJElS4bIgIUk17LdNB/p0as2kz7/+5liTkiIuHLINZw/oTmlxHYsTlbWGpi1Tt3XfHw64GjrvUm/5SpIkSYXKZT8lqYbS4iL+cFxfiosCALtv1ZZnL9iP8wf1rLsYsdIBV6++32lnOPlx+METFiMkSZKkJEdISFItO3Rpw4VDtqFNs1JO3msripLFidUsXQDN2iaW2qit8y6JxzI++x8MuRK2OxqKrP9KkiRJNVmQkNTofPbVMn71xHtcdMA2aeeDuGDINqlPXr4YXr8ZxtwER/8f9Dkyddzhf4SmraC4tJ6yliRJkjYuFiQkNRrV1ZF7x37C0Ocms3h5JZ8vXMYT5+9Lydo8ilFZAW/dDSOuhyVzEseGXQO9DoXiFP+UNs+wHKgkSZIk55CQ1DhMn7eE79zyGlc+/i6Ll1cC8N5nX3PrqGmZT6yuhokPw9/7wbM/W1WMgMSSnm/fm8WsJUmSpI2XIyQkbdQqq6q5bfR0/vzihyyvrF6j/T9vfMIZ/bvRtKR4zZOnvgzDrobP30nTe4D5U+o1X0mSJKmxsCAhaaP1/mdfc9kjE5j46cKU7cfv1pVfHr7dmsWIT99KFCKmj0jf+TYHwZCrYPMd6i9hSZIkqRGxICFpo7OofAV/e3kKt4+eTmV1XKO9U5syrj+uL/tt02H1hvlT4eXfwHuPpe+86x5wwDWw9b71nLUkSZLUuFiQkLRRuW3UNH77zKSUbSHAqftszc8O2pYWTWv887doNowYCm/dA9WVqTtu3wuG/Ap6H5F6qU9JkiRJ68SChKSNwrzFy9n9t8PStvfcrCVDj+3Lblu1XbPx/Sdh/B2pT2zVGfa/HHY+KfVqGpIkSZLWi++uJRW8UR/N5eTbx6Ztv2BwT84f3DP1xJUAu50Kr/0Nvvp41bGyNtD/J7DnOVDarH4TliRJkmRBQlLhWrhsBdc+8z4Pjp+VNuau0/Zg/203y9xRSRMYfCU8eiaUlCWKEP0vhmYpRlNIkiRJqhcWJCQVpOffm82Vj7/LnEXLU7a3a9GEVy8fTFlpMcQIH72QWL5z4KWpO9zh2MQSnrv+ANp0yWLmkiRJksCChKQCM3fRcq5+8j2emfh52pg7Tt2dwb07JnZmjoUXr4JPXoVQlJiUsuN2a55UVASDfp6lrCVJkiTVZkFCUkGIMXLy7WMZPWVeyvYWTYq5/LA+nNRvS4qKAkx6OrFqxkfP1+ikGl76NZx4f46yliRJkpSOBQlJeW/s9AV855bX0rbvv20Hrj16R7ps0gxmjoPbD0jf2YfPwazx0HX3LGQqSZIkaW1ZkJCUt6qrI/9+42N+9cR7KdvbNi/lqiO359s7dyZ8OR2u3iVzh222hMFXQOc64iRJkiRlnQUJSXlp6tzFXP7IBMbN+DJtzIs/GUj7oiVwfTdYlj6OZu1gwCWwxxlQ0jQL2UqSJElaVxYkJOWVFVXV/HPUNG4c9hEVldUpY76ze1euP6o33HU4zBqXucPiJnDh21DWpv6TlSRJkrTeLEhIyhvjZyzgqiff473Pvk4bM/rS/en62fPw2wF1d3jOKOjUtx4zlCRJklRfslqQCCHsDhwG9Ae2AzoAK4DPgDHA7THG0evQ36HA2cAeyb7mAuOAW2OMz61lHyXAmcBJQG+gZTKfYcBNMcbUD6uv2U974ALgKGDr5OEZwOPAX2KM89emH0mwcNkKdrrmhbTtW7ZrznXH7Mg+JZPh0W/XPSripEdgmwwTW0qSJElqcFkrSIQQRgL7pWhqAmyT/Do1hHAPcFaMsSJDX0XArcAZtZq6JL+OCiHcBpwTY0w9xptvigjPkiho1NSdRKHjlBDCj2KMt9Xxs+1JovCwea2mHZNfZ4YQjooxjs3UjyT4x4ipXPfc5JRtRQFO37cbP925imYjfggfpS9aAHDEjbD7afWfpCRJkqR6l80REp2T3z8DHgJGAZ8AxcDewE9JFBN+AJQCJ2bo61pWFSP+B1wPTAV6AJcCu5AY9TAX+EWqDkIIxcBjrCpGPAr8E1gA7An8EtgMuCWE8Gm6ERchhC2Ap0iM0KgE/gQ8nWw+AvgJ0Al4KoSwW4xxVoafS2q0Fi+vZMgfh/PF18tTtvfq2JI/H9SW7Xt1gw+ezVyM2PdCOPDXWcpUkiRJUjZksyAxmURx4JEYY1WtttdDCP8i8dhGL+B7IYR/xBhH1u4khNAL+FlydzwwIMa4LLk/LoTwJDAC2B24JIRwR4xxSop8TiHx6AjAzTHG82u0jQ0hPAe8CbQGbgoh9IkxVqbo51oSxQiAE2OMD9VoGxVCeBN4gERx47fAqSn6kBq1ER/O5RePTkxbjOjWbCnPbTuS4kfvgEFXwD4XQKe/wOfvrApq2w32vxx2PB6KinOUuSRJkqT6UpStjmOMR8QYH0xRjFjZPo/EKImVjkvT1UWsKpz8uEYxYmU/S4EfJ3dLgIvT9LOyqLEAuCRFPlOA3yd3ewJH144JIWxOYu4JgOdrFSNW9vMg8Hxy9+TkOZKAr5ZW8NMH3+GUO8by6VfL1mhvTjnP7fwar5ReTPHYf0BVBYz+EyxfCAdcnQhqsRkcdgP8aBzsdILFCEmSJKlAZa0gsZZeqbHdo3ZjCCEA307uTo4xvp6qk+TxD5K7306eV7OfXkCf5O6DySJGKnfV2F6jIAF8i1X/ze5M00fNfoqS50iN3nMTP+eAP43kkbfWfIqpGeW83OxS3i87nT6T/woVi1Y1li+E0X+GHoPhqH/ABf+DfmdBcWkOs5ckSZJU3xp62c+mNbZTjaToxqq5KEbU0dcIYFsS81JsDUyv0da/VlxKMcbZIYQPSTxGsm+KkLXqp1bbviQm5JQapXc/XcgRf029mE4R1dy/yc30K38VYpoOiptASNYBd/5edpKUJEmSlHMNXZAYWGN7Uor27Wpsp56GP3V7H1YvSKxrP72ALUIILWKMS1L0szDGODtdBzHGz0MIX5OYj6JPujhpYxZj5Lu3vs7Y6QtStv+q6f2cHp6E8nQ9BOj7XRj0C2i7VdbylCRJktQwGqwgkVzK8/Iahx5MEda1xnZdq1XMrLG9RT30E5LnfVCjbWU/a7Nyxkxg+xS5ZBRC6FpHyDdzUixbtoxly9Z8Dj+flZeXp9xWYVjb6/fpV8s46Y63+GLRmpNWnlj8Er8rvT3j68SmrVl+4uPEzZI1wAL7/zxfef8VNq9fYfP6FTavX2Hz+hU2r19+yNbnzoYcIXEx0C+5/WiM8c0UMa1qbC+uo7+aIxlaZrmfuvqo2U/tPuoys+6QhJEjR9K+fft17D5/jBy5xqIqKiCprl91hFGzA09/UkRF9WpTuTCg6B3uaTK0zn4ndTqWDzf/Nrw9i7Wr/Wl9eP8VNq9fYfP6FTavX2Hz+hU2r1/DmTdvXlb6bZCCRAhhIHBdcncO8MM0oWU1tivq6Lbmn2KbZbmfuvqo2U/tPqSN0uylcN/UYmYsXr0Q0YEvubDkUb5f8lLG8z9pty//2/KsVfNFSJIkSdqo5bwgEULYHngs+drlwPExxjlpwmuOyWlSR9c1J8isPZ6kdj+ZxvrU1U/ztcilZj/rOralrkc8NgfGAQwYMICuXet6wiO/lJeXf1PZHDBgAGVlZXWcoXyS6votW1HFHa9+wi1jZ7CiatXMlK1YytklT3NG8XM0D2s+urFSdefdWP69R+hQUsZBWf8JGjfvv8Lm9StsXr/C5vUrbF6/wub1yw+zZmVn5HJOCxIhhG7AC0BbEqtqnBBjzDTupsbaf3U++tCixnbtRypq95OpIFFXP83XIpea/azN4x3fiDFmvNI1VzRt1qwZzZoV7gCMsrKygs6/sSsrK+OxCXP5xWMT12grpopnm/ycLYrmpu+gWTv48ZsUNW/nMKIG4P1X2Lx+hc3rV9i8foXN61fYvH4NJ1v/3XNWkAghdAaGkVjGMwKnxxifqOO0mh/O6xoKUHNkQe15GGr3k+kBmJX9RNZ8gH0W0HEtcqnZz1rPCSEViqWV0Oeal1c7VkQ1RxWNZmDxBP7U6hLo+T2YcNPqJ5aUQdkmcPp/oV233CUsSZIkKe/kpCARQmgPvAh0Tx76cYzxnrU49f0a273riK3ZXnsJ0dr9vL0W/cysteTnyn52A9qEEDZPt/RnCKETiSU/U+UiFbSPFgb+9n5xjSORQUVvc1nJ/fQuStTfDjl8GU17XgpT/gNL5yXmhdj5JNj/59CmS8MkLkmSJCmvZL0gEUJoAzwPJNfv4/IY49/X8vTpwGckRlUMrCN2QPL7p8CMWm2ja2wPBO5Pk+vmQK/k7pgUIaOBk2v080CaXGrmmqofqeAsKl/Btc98wP01ihFnFD/Dd4pHsG3R6oOJmg7/DfQZAwMvhekjYcivoMO2uU5ZkiRJUh7L6nT2IYTmwDPArslD18YY6173LynGGIGVj3X0DiHsleZ19mLVyIYnkufV7OdDVo1U+E4yr1ROrbH9WIr2J4Hq5PZpGVJf2U918hypoL0yeQ4H/3kk94//FICDi8Yyo+xEriy9d41iBABzJ8FHL0C/s+GEey1GSJIkSVpD1goSIYQmJD7U75s89JcY4y/Xo6sbSUyACfDXEMJqs2kk9/+a3K1MxqdyQ/J7O+D6FPn2AH6e3J1CioJE8hGNe5O7B4cQjkvRz/HAwcndf6V7rEMqBAuWVHDxA29z2l3j+GxhObuEj5hRdiK3NLkx/UmbbQ8nPgS9DoEQ0sdJkiRJatSy+cjGffDNKn4vA7eHEHbIEF+RHMmwmhjjhyGEPwCXA7sDY0IIQ4GpQA/gMmCXZPgfYowfpen/buB0EgWS85OPZ/wT+BLoB1xJYt6HauCCGGNlmn6uAA4BOgD3hRB2B55Oth0B/DS5PRdYnwKM1OBijJz/n7d4dmKinrZl+IKRTS/OfFKbLWHwFbDj8VBUnDlWkiRJUqOXzYLEMTW2BwMT6oj/GNg6TdsVwGYkCgq7kHoOiNvJUACIMVaFEI4CngX2AI5NftW0HPhRjPG5DP3MDCEcCTwObE6iIHJZrbDZwFF1LeEp5aMJs77iW39LTH3ShsUMb/oT2oY6Vq9tuzWcPxZKmmY/QUmSJEkbhZwt+7khYozVwBkhhEeAs0kUFNqTWL5zHHBLpiJCjX7mhRD2Ac4CTgT6AC1ITJz5EonHSt5bi37eCCHsCFwIHMWqQsp0EnNe3BhjnL8uP6PU0GKMPDh+Jpc9MpFiqji+eATXld5W94kXvwdt1mYlXEmSJElaJWsFiRhjvT88HmN8lsQIhw3poxL4v+TXhvQzj8RjHlduSD9SPvhk/lIuf3QCr06dx8FF47mk5AF6Fn2W8ZzyU4dRtvUeOcpQkiRJ0samIEZISMqOqurIXa/O4IbnP6B75RQebXInuxZNyXjOaz1+xpzWfTmoY6YpYSRJkiQpMwsSUiP13mcLueKxdymfNYFWsRVFIWYuRhxxI8u2P4E5L7yQuyQlSZIkbbQsSEiNzNKKSvpe/QKbxzn8pOQhjmoyhgeq9ufnlWfxdNVeHFH8+qrgTjvDAVdBj8GJ/WXLGiRnSZIkSRsfCxJSI/Kv1z/mxsfH8IuSJzipeBhNQ2J12+8UD+e2qsP4aIeLiB98n9BmCxhyJWx3NBQVNWzSkiRJkjZKFiSkRmBZRRXH3fA4jy0/i5PLqtZoLw6Rh7Z5kXbffQhmPAFb7AnFpQ2QqSRJkqTGwoKEtJF7Y/JMNnvgUJ6JMyHN2jexSUva9egHMcLW/XOboCRJkqRGyYKEtJH6emk5M/9xHHt+PSptTFVRKcX9ziLs91No0T6H2UmSJElq7CxISBuhj+//KVtNvo3tM8TEZm0pPnsEtN0qZ3lJkiRJ0koWJKSNyOzRd7P5sAuos8Rw9K2Enb6bi5QkSZIkKSULEtJGIM6bwvg7f8oeS4ZnjKve/wqK9r80N0lJkiRJUgYWJKRCtmg2S168lqYT7mUP1lw9Y6UlvY+nxXdupcglPCVJkiTlCQsSUiGKkerqyNe3HM4mi6ekDZu3yU5sev7ztChtlsPkJEmSJKluFiSkQlK5HMbdzvK37uXMkt/RbsFB/KXJ6gWJhbE546u3pctpd9O7uxNWSpIkScpPFiSkQlBdBRMeJL5yLWHhTJoC2654gNurD+Wc6mfYruhjymMpd1UdwvTeZzP0+wMaOmNJkiRJysiChJTPYoRnfgr/+xdUVRBqNJ1f8gQPVu3PdZUncFjRG3zY50dccPRANmnepMHSlSRJkqS1ZUFCylev/g1euCJtc9uwmCFFbzG29UF0OuYsTujVIYfJSZIkSdKGsSAh5Zv3n4QHT84Y8kZ1b4ZWnkDfvQ7i+YO3pWVTb2VJkiRJhcVPMVK+mDkObj8gY8ik6i0YWnkCw6t35vZT9mBIn445Sk6SJEmS6pcFCamhLZgGN+1SZ9ioqh04dcVlVFHMO1cdRJtmpTlITpIkSZKyw4KE1FBWLIM3/gHDrs4YNrO6A4dW/J7FNOcPx/Xl+N23yE1+kiRJkpRFFiSkXKuqhLfvheHXwaLPMobuXf5X5pd04OJDenHmft0oLS7KUZKSJEmSlF0WJKRc+uxtePQsmPdhxrDDlv+O9+PW7LF1W/59bF96dGiZm/wkSZIkKUcsSEi5MGM0NG0NrTaHhbPShp1ScRkjqneiRZNifnNob07acyuKikIOE5UkSZKk3LAgIWXT7Ikw7BqY8iJstS+c+gyLdjmbVmNv/CZkVNUODK08gXdj92+OPX/xALq2bd4ACUuSJElSbliQkLJh7gcw6o8w4UEgJo59PIaXnr6XK8bvzLO0ZFbswNDKExhTveM3p+23TXvuOb0fITgqQpIkSdLGzYKEVJ/mfgB/75e2ufO4oXxR8TuOCdfwcexIZNUklc9duB99OrXORZaSJEmS1OAsSEj1YfEc+NN2UL0ibcjc2IZ7q4ZQRGRG7ARAh1ZN+c23d+CQHTbPVaaSJEmSlBcsSEgbomIJ/HMwzJ2cNmRRbMYtlUdwR9WhLKXsm+Pf2b0rVxy2HW2al+YiU0mSJEnKKxYkpPVRXQUP/gAmP50xbHZsy2HLf88CVj2K0bVtM647pi/9t2mf7SwlSZIkKW9ZkJDW1Ru3wnOX1Bl2QsUveb16u9WOlRYHXrh4AM2beOtJkiRJatz8VCStrU/fgmFXw/QRGcMuqjiPx6v7r3H8l4f34cz9uqc4Q5IkSZIaHwsSUl3mT4WXfwPvPZYx7IYVx/O3qqNTtk28+iBalTlXhCRJkiStZEFCSmdFOZSWwTM/gWnD04Y9UrUfP1txzmpLeALs2KUNvz9mR3bo0ibLiUqSJElS4bEgIdVW/jW8ehOMvxPOHQ2Dr1yjIPFVSQfuL9+LP1cey3KarNbWtKSInxzYizP6d6OkePUihSRJkiQpwYKEtFLlchh3O4z8AyxbkDg2YigceSP0ORImPUV10zb8teJIbl58wBqFCIB+3dox9Ni+dGvfIre5S5IkSVKBsSAhVa2Ae49L/VjGW/fA3j8iDv4VH1Z04Iyp+zGrvGnKbn571A6c2G9LiopCdvOVJEmSpI2ABQk1XjHCsz+DcbdlCuLL91/iwim7MPLDA9JGPfLDfdhtq7b1n6MkSZIkbaQsSKhxeu1meP7nGUNi7yN4ot0Z/GJYBUsr5qaMGbRtB+44dQ9CcFSEJEmSJK0LCxJqXCY9BQ98P3NMl90Zu+0lfOfZKmBZypAjd+rM1Udux6YtUz++IUmSJEnKzIKEGodZ4+G2IXWGVe52JjuPP5DFU6tStnds3ZTfHrUjB27Xsb4zlCRJkqRGxYKENm5LF8DoPyeW8cyk+yDe3O9Wjr1lHJC6GPG9flvw88P60LqstP7zlCRJkqRGxoKENk4rlsEb/0gUI8oXpo/bZEvKzxzJTaO/4JZ/jk8b9s8f7O6oCEmSJEmqRxYktPH54n3497Gw6LPMcRe/x/gvm3PpLe8wbe6StGFvXXkg7Vo0qeckJUmSJKlxsyChjUOMMPlpKCqB7oOgqDh97DmjWNxuO/7w38nc8/o7xJg67Jpvbc8p+2ydlXQlSZIkqbGzIKHCN2M0DLsaZo2DNlvCj8fDoF/A4z9cFbP9MTD4l7BpD37z9PvcPvr5lF2VFgfO278n5w7sQbMmGYoakiRJkqQNYkFChWvKMHjjFvjohVXHFn4C4++AfmfDq3+FlpvBAVdD512YMW8J+1/+TNrudurahqHH9aX35q2zn7skSZIkNXIWJFR4ZoyGuw5P3z7ietj5JDjtWWjWlhgjz038nPPufStleFlpET87aFtO27cbxUUhS0lLkiRJkmqyIKHCMfcD+Hu/zDFtu8GQK6FJSygqYs7X5Vz5xLs8/94XaU95/qIBbLVpi3pOVpIkSZKUiQUJ5b/Fc+DP20NVRfqYFpvBwEth11OgpAkxRh4aP5PfPv0+X5dXpjxlp65teOy8fSlyVIQkSZIk5ZwFCeWviqVw2xCY837muE23gbOHQ9OWAMxcsJSfPzqR0VPmpT3l8fP3ZectNqm/XCVJkiRJ68SChPJPdTW8+pfEyhl1OX8sdNgWgBVV1Qz54wg+WbA0ZWi7Fk24+lvbc2TfToTgqAhJkiRJakgWJJRfpr6SKER8/nbmuFOehm77fbP73MTP+WGaSSsBjtq5M786cnvatWhSP3lKkiRJkjaIBQnlh8/eThQipr2SOe7oW2Gn736zu6KqmoP/PJJp85akDO/Upoxrj96Bwb071l+ukiRJkqQNZkFCDWvxHGi5GYy/I3MxYtAvYeAlqx2aOGshlzz8TtpiRAjwwsUDaFVWWp8ZS5IkSZLqgQUJNYimK76i9IXL4Z174YznYf/LYcIDUFm+Kqh9L9jnx7Dz96Go6JvD5Suq+POwD/nnyGlUx9T9X3xALy48YJss/xSSJEmSpPVlQUK5tXwRvT97mB5zn6ekenni2LCr4QdPwl4/hNF/hladEwWKnU+C4tX/F31j2nwuf3Qi09OMigD435UH0ta5IiRJkiQpr1mQUG6Ufw3/2JdmX33CtrXbpo+EqS/DvhdB801hjzOhtNlqIbMXlrPX719K233vzVtx7dE7sNtW7eo9dUmSJElS/bMgoeyqWgH3Hp95foiSMlgwDXoOSTyiUctVT7zL3a99nPLU0uLAjwdvw7kDe9CkpChljCRJkiQp/1iQUPZ88Bzcd0La5hiKCDufBPv/HNp0WaN9wZIKDvjTCBYsqUh5/s5bbML1x/WlV8dW9ZayJEmSJCk3LEgoOxZ+Co+clbZ5bss+tPruLZRtsdMabTFGnpn4OVc98V7aYsSVR2zHqftsTXFRqLeUJUmSJEm5Y0FC2TFnElQsStk0scuJTNvsEA5q32uNti++LueXj7/Li+9/kbbre8/ck317tq+3VCVJkiRJuWdBQtmx5V7QYjNYMmfVsT3OYtmgXzPtxRfXCI8x8sC4mVz77CQWlVem7HK3rdry0Dl7U+SoCEmSJEkqeBYklB1NW8J5r8F7j0HZJrD9UVBcCsuWrRE6+qN5fP/2N9J2ddB2HfnNUTvQsXVZ9vKVJEmSJOWUBQllT4v20C/9PBIVVdUM+f1LfLawPGV7+5ZNuOZbO3DYjpsTgqMiJEmSJGljYkFCDWLGItjpt8PTth+zaxeuPHw72rZokrukJEmSJEk5Y0FCOVVRVc1/ZwZe+LQobcwtJ+/GwdtvnsOsJEmSJEm5ZkFCOfPOzK+45KG3+XBOcdqYN34xxLkiJEmSJKkRsCChrFtWUcWfh33IbaOmUR1Tx1xy8LacP6hnbhOTJEmSJDUYCxLKqhuHfciNwz5K2VYcAmcP7M65A3vQpllpjjOTJEmSJDUkCxLKmrPuGc+L73+Rsq1L88hfvr8Hu3ffLMdZSZIkSZLygQUJZcW7ny5MWYwoLQ4c1LmSIZ0j23dq1QCZSZIkSZLyQfqlDqQNsHh5Zcrjj5/bj4O6Ror9P0+SJEmSGjU/Fior9uzWjsP7dvpmv3v7Fky59lC6t2/RgFlJkiRJkvKFj2woK0II/P3EXbnqyHI2bdGU4qIAwIoGzkuSJEmSlB8sSCirNmtV1tApSJIkSZLykI9sSJIkSZKknLMgIUmSJEmScs6ChCRJkiRJyjkLEpIkSZIkKecsSEiSJEmSpJyzICFJkiRJknLOgoQkSZIkSco5CxKSJEmSJCnnLEhIkiRJkqScsyAhSZIkSZJyzoKEJEmSJEnKOQsSkiRJkiQp5yxISJIkSZKknLMgIUmSJEmScs6ChCRJkiRJyjkLEpIkSZIkKecsSEiSJEmSpJyzICFJkiRJknLOgoQkSZIkSco5CxKSJEmSJCnnLEhIkiRJkqScsyAhSZIkSZJyrqShE9A6K1658fnnnzdkHutl2bJlzJs3D4BZs2bRrFmzBs5I68LrV9i8foXN61fYvH6FzetX2Lx+hc3rlx9qffYsThe3rkKMsb76Ug6EEHYHxjV0HpIkSZKkRmmPGOP4+ujIRzYkSZIkSVLOOUKiwIQQmgI7JnfnAlUNmM762JxVIzz2AGY3YC5ad16/wub1K2xev8Lm9StsXr/C5vUrbF6//FAMdEhuT4wxLq+PTp1DosAkL3y9DI9pCCGEmruzY4yzGioXrTuvX2Hz+hU2r19h8/oVNq9fYfP6FTavX175uL479JENSZIkSZKUcxYkJEmSJElSzlmQkCRJkiRJOWdBQpIkSZIk5ZwFCUmSJEmSlHMWJCRJkiRJUs5ZkJAkSZIkSTkXYowNnYMkSZIkSWpkHCEhSZIkSZJyzoKEJEmSJEnKOQsSkiRJkiQp5yxISJIkSZKknLMgIUmSJEmScs6ChCRJkiRJyjkLEpIkSZIkKecsSEiSJEmSpJyzICFJkiRJknLOgoTyRghheAghrs1XQ+faGIUQtgoh/DGEMDmEsCSEsCCEMC6EcEkIoXlD56c1re39FEIY3tC5NjYhhM1CCEeEEH4dQnguhDCvxvW4az36OzSE8FgIYVYIYXny+2MhhEOzkH6jVx/XL4Rw6jrco6dm9ydqXEIIu4cQfhVCeKHGPbM4hPBhCOHOEEL/dezP+y+H6uP6ef81nBBC6xDCCcn3lCNCCFNCCAtDCBUhhDnJzwOXhhA2Xcv+9gkh/DuE8HEIoTyEMDuE8HwI4XvZ/llUP0oaOgFJ+S+EcCTwb6B1jcPNgd2TX2eGEA6PMU5piPykAvRFfXQSQigCbgXOqNXUJfl1VAjhNuCcGGN1fbymgHq6fsq9EMJIYL8UTU2AbZJfp4YQ7gHOijFWZOjL+y/H6vP6qcH0A+5L09YBGJj8uiSE8P0Y4/PpOgohXA1cyep/ZO8IHAQcFEI4CTguxlheH4krOyxIKB+NB05r6CSUEELYBXgAaAYsBn4PvJLcPwE4C+gFPBNC2D3GuKihclVa/wfcnKF9Sa4SUUqfAJNJvIFaV9ey6sPQ/4DrgalAD+BSYBfgTGAu8IsNzlSpbMj1W+lg4LMM7bM2oG+trnPy+2fAQ8AoEtewGNgb+CmJYsIPgFLgxAx9ef/lXn1ev5W8/3JvJon3km8mtz8nUVToChwHHAO0B54MIfSLMb5Tu4MQwjnAVcndqcDvgIkk/h+5EBgEHA7cwdr9f6AGEmJ09LvyQ3LY+EBgRIxx/4bNRivV+GtEJTAgxvharfZLSLwJA7gmxnh1bjNUOmHV401elzwTQrgGGAeMizF+EULYGpiebL47xnjqWvTRC3iPxB8XxpO4P5fVaG8OjCAxiqkS6OMopvpRT9fvVODO5G63GOOM+s9UtYUQngbuAR6JMValaG8PjCFRaAcYGGMcmSLO+68B1OP1OxXvvwYRQihOde1qxRwFPJbcfSzGeEyt9nbANKANiYLUbjHGeTVfI3n+kclDg2KMw+vlB1C9cw4JSWmFEPqxamjk7bWLEUl/BCYlty8MIZTmJDmpgMUYr4oxPh1j3JCh/xexaqTjj2t+GEq+xlLgx8ndEuDiDXgt1VBP108NIMZ4RIzxwXQfiJIfan5a49Bxabq6CO+/nKvH66cGUlcxIhnzOPBBcjfVIzpnkihGAFxWsxhR4zXOA1a+1iXrlaxywoKEpEyOqrF9Z6qA5HOx9yR3NyExRE5SFoUQAvDt5O7kGOPrqeKSx1e+qft28jxJmb1SY7tH7Ubvv7yX8fqpYKx8BLgsRdtRye9fA4+mOjnGOAsYltwdEkJoVa/Zqd5YkJCUycqZqpeQeM4vnRE1tvfNXjqSkrqx6lnqEZkCa7R3AbbOVkLSRqRpje1Uf831/stvdV0/5bkQwrbAzsndybXampCYGBPgtTomLl15/zUl8fiU8pAFCeWj3iGEN0IIXyWX75kVQngihPADHwfIuT7J71NijJUZ4mr+suiTNkoN5fgQwvshhKUhhEUhhI9CCHeHEBzNUri2q7E9OW3Umu3en/npzhDCZ8ll7+aFEF4PIfw2hNCloRNrpAbW2J6Uot37L7/Vdf1q8/7LAyGE5iGEbUIIPyFRSFj5SNSNtUJ7kZjEFLz/NgoWJJSPOpKofLYhUdHsAnwLuBt4O4TgPyg5EEIoIzHDMdQxw3SM8UtWrdSwRTbz0nrZjsQv4mZAS6AniRnIXw4hPBZCaJPpZOWlrjW265oBfmaNbe/P/LQ/0InEqgCbAnsCVwBTkjPJK0eSS3leXuPQgynCvP/y1Fpev9r2x/uvQYQQTg0hxOQk3EuAD0nMTdYxGXId8J9ap3n/bWRc9lP5pBp4CXgWeAeYD7QCdgXOIfGBajvgleQSQJ80VKKNRM1n7RavRfwSoAWJD7zKD0uBJ0ncV5NJXMeVa3yfS+KN11HAEyGEA2OMKxooT627dbk/ay7r6v2ZX6aReP75NVa9ce4OHEtiMr4y4B8hhBhjvLVhUmx0LmbVcPBHY4ypHlf0/stfa3P9VvL+y19vA2fHGMelaPP+28hYkFA+OSbG+FWK46NCCDcD/wROIVE1vZHEGsXKnpqTCGV6Pm+l5cnvzbKQi9ZPlzT31IshhL8CzwG7kChQ/BC4KYe5acOsy/25vMa292f+eIzEEqG1118fBzwQQjiCxIelUuDPIYQnY4yzc51kYxJCGEjiL7IAc0j8u5iK918eWofrB95/+eJxEsvmQuL+6AF8BzgauC+EcFGM8ela53j/bWR8ZEPrZOWwqg38OjVV32k+OK1sW0FiiZ+Vs1Uf7bN9WVdeY7vJWsSvnERqWcYo5Uwd99QXJP4CtHJUxI/TxSovrcv9WXOCN+/PPBFjXJjiw1DN9qeBXyd3mwNn5CSxRiqEsD2JD6klJO6v42OMc9KEe//lmXW8ft5/eSLG+FWM8d3k17gY4/0xxmNIPFbancQIzlNrneb9t5GxIKGCkZxU8fYahwami1W9WFRje22GubVIfl+bxzuUB2KM04AXk7s9QwidM8Urr6zL/dmixrb3Z2G5FVj5ocnfeVkSQugGvAC0JbEqwwkxxpEZTvH+yyPrcf3WlvdfA4kx/gt4iMRn1b+FENrVaPb+28j4yIbWVX1MKPn5Bpz7fo1tR0hkUYyxPIQwn8Q8A10zxYYQ2rLqH/2ZmWKVd94HDktudwE+a8BctPZqTuSV8f5k9Ym8vD8LSIxxTvLf4fb4Oy8rkoXYYSSW8YzA6THGJ+o4zfsvT6zn9Vsr3n8N7gkSj2+0AA5h1eSW3n8bGQsSWicxxrqW18l6Cg38+o3N+8B+JP56XpJh6c/eNbbXZokt5Q/vqcJUszjbO23Umu3en4XHezRLQgjtSYwS65489OMY4z1rcar3Xx7YgOu3Lrz/Gs7cGttb1dj+kMRImGK8/zYKPrKhQlNz7W//kpt9o5PfWwC7ZYirOZRxTPbSURZ4TxWm6ay6XnUNJR6Q/P4pMCNbCan+hRA6sGr5Ze/PepRc7vh5Vv0beHmM8e9rebr3XwPbwOu3tq/h/dewao5K+eZxixhjBTA2ubt3CCHTPBIr78/lrJo8U3nGgoQKRgihBDi9xqH6eD5QmT1eY/u0VAHJNb9/kNz9CngluympviSfuz0wuTs1xvhpQ+ajtZecjG3lsOTeIYS9UsUlj6/8C9ETmSZxU146GwjJ7RENmcjGJITQHHiGxLLiANfGGIeu7fnefw1rQ6/fOvD+a1jH19ieWKvt8eT31qRZdS+E0BU4ILn7UoxxUao4NTwLEsoLIYRBIYRNMrSXArexag6Lp2KMPguWZTHGscCo5O4ZIYS9U4T9lFXX5S/JFVHUwEIIRyaLeOnaOwKPsGqG6ptzkpjq040khq0C/DWEsNqSZsn9vyZ3K5PxygMhhK1DCLvUEXME8Kvk7jLgzqwn1ggk/5r6GLBv8tBfYoy/XI+ubsT7L+fq4/p5/zWsEMKpIYSyOmIuZtX8VtNZ9V50pduAhcnt60IIm9Y6v5jE+5ri5KE/bFDSyqpgsVb5IIRwF3As8CQwnMTynl+TmD13NxJV6pXD8uYAe8UYp+c80UYo+Ut7DIn1mxcDvyMxCqIZcAKJawOJZ/p2twKdH0IIM0isn/4I8BqJocLLSAw/3R84h1VDUUcDB8QYl9fuR9kRQugP9KxxqD2r3jCNIfFm6xsxxrvS9PN74PLk7v+AocBUEmu5XwasfNP9+xjjL+ojd2349Qsh7E/i39HXgKeAd0j8boPE8/DHJb9W/nX2/BijRcN6EEJ4hFV/UX0ZuIjM8wRUxBg/TNOX91+O1cf18/5rWMn3J61IvD8ZTeKeWZw8tiNwEqsKThXA4THGYSn6OQf4R3J3KnAtiZEUnUn8fzEo2XZfjPHELPwoqicWJJQXkgWJU9YidCKJ5ZzerzNS9SaEcCTwbxJD41L5kMQvjCm5y0qZJH/hb1VXHIk3BGfGGL/KakJazTr8mwdAjDGkOp58ZOqfrP44W223A2fHGKvXJUelt6HXr8YHorosBS6OMd66DukpgxDCur7x/TjGuHWavrz/cqw+rp/3X8Nah/cns0ismvJiuoAQwjXAlawqHtX2LHBsjLF8XfNU7liQUF4IIfQBDgb2JjESogPQjsQkNF+QmIjmYeCxGGNVun6UPSGErYALgcNJLLNUAUwhsU7032KMSxswPdUSQhhIYjKnvUn8xac9iYLSYhJLX70K3B1jfK3BkmzE6qsgUaO/w0iMVtqDxLWeB4wDbokxPrf+mSqVeihItAK+ReL+3B3oROK6lQBfAu8BLwG3xRjnoHpTnwWJGn16/+VIPRUkvP8aUAhhWxLvJfclMdKsI4kl5peRGKnyNvA08ODavLcMIewDnE9iVbiOJOYzewe4M8Z4X/3/BKpvFiQkSZIkSVLOOamlJEmSJEnKOQsSkiRJkiQp5yxISJIkSZKknLMgIUmSJEmScs6ChCRJkiRJyjkLEpIkSZIkKecsSEiSJEmSpJyzICFJkiRJknLOgoQkSZIkSco5CxKSJEmSJCnnLEhIkiRJkqScsyAhSZIkSZJyzoKEJEmSJEnKOQsSkiRJkiQp5yxISJIkSZKknLMgIUmSJEmScs6ChCRJkiRJyjkLEpIkSZIkKecsSEiSJEmSpJyzICFJkiRJknLOgoQkSZIkSco5CxKSJEmSJCnnLEhIkiRJkqScsyAhSZIkSZJyzoKEJEmSJEnKuf8HqyxsmiavxGAAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(df_copy['temp'], temp*df_copy['temp'] + intercept, linestyle=\"--\", label='NO WORKING DAY')\n", + "plt.plot(df_copy['temp'], (temp+working_day_temp)*df_copy['temp'] + (intercept + working_day_temp), linestyle=\"--\", label='WORKING DAY')\n", + "plt.legend()\n", + "plt.grid()" + ] + }, { "cell_type": "code", "execution_count": null,