{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Meixu Chen $^{1}$, Dominik Fahrner $^{2,3}$, Daniel Arribas-Bel$^{1}$, Francisco Rowe $^{1}$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$^{1}$ Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Roxby Building, 74 Bedford St S, Liverpool, L69 7ZT, United Kingdom\n", "\n", "$^{2}$ Department of Geography annd Planning, School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZT, United Kingdom\n", "\n", "$^{3}$ Institute for Risk and Uncertainty, University of Liverpool, Chadwick Building, Peach Street, Liverpool, L7 7BD, United Kingdom" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Abstract\n", "\n", "Satellite imagery is often used to study and monitor changes in natural environments and the Earth surface. The open availability and extensive temporal coverage of Landsat imagery has enabled to monitor changes in temperature, wind, vegetation and ice melting speed for a period of up to 46 years. Yet, the use of satellite imagery to study cities has remained underutilised in Regional Science, partly due to the lack of a practical methodological approach to capture data, extract relevant features and monitor changes in the urban environment. This notebook offers a framework to demonstrate how to batch-download high-resolution satellite imagery; and enable the extraction, analysis and visualisation of features of the built environment to capture long-term urban changes.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Keywords:** satellite imagery, image segmentation, urbanisation, cities, urban change, computational notebooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Table of Contents \n", "\n", "1. [Introduction](#Introduction)\n", "2. [Data and Study Area](#Data)\n", " * [Landsat](#Landsat)\n", " * [Study Area](#Study-area)\n", " * [Data download and pre-processing](#Data-download-and-pre-processing)\n", "3. [Feature extraction](#Feature-extraction)\n", " * [Colour features](#Colour-features)\n", " * [Texture features](#Texture-features)\n", " * [Vegetation features](#Vegetation-features)\n", " * [Built-up features](#Built-up-features)\n", "4. [Feature clustering](#Feature-clustering)\n", "5. [Result interpretation](#Interpretation)\n", "6. [Conclusion](#Conclusion)\n", "7. [References](#References)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Introduction \n", "\n", "Sustainable urban habitats are a key component of many global challenges. Efficient management and planning of cities are pivotal to all 17 UN Sustainable Development Goals (SDGs). Over 90% of the projected urban population growth by 2050 will occur in less developed countries (UN, 2019). Concentrated in cities, this growth offers an opportunity for social progress and economic development but it also imposes major challenges for urban planning. Prior work on urbanisation has identified the benefits of agglomeration and improvements in health and education, which tend to outweigh the costs of congestion, pollution and poverty (Glaeser and Henderson, 2017). Yet research has remained largely focused on Western cities (e.g. Burchfield et al., 2006), developing a good understanding of urban areas in high-income, developed countries (Glaeser and Henderson, 2017). \n", "Much less is known about the long-term evolution of urban habitats in less developed countries. \n", "Analysis of historical census data exist exploring changes at discrete points over time such as slum detection (e.g. Giada et al., 2003; Kit and Lüdeke, 2013; Kohli, Sliuzas and Stein, 2016 ) . \n", "Less applications can be identified tracking changes in urban settings over a continuous temporal scale (Ibrahim et al. 2020).This gap is partly due to the lack of comprehensive and consistent data sources capturing the long-term dynamics of urban structures in less developed countries. \n", "\n", "Cities in Asia provide a unique setting to explore the challenges triggered by rapid urbanisation. The share of urban population in Asia is currently at a turning point transitioning to exceed the share of rural population. Currently Asia is home to over 53% of the urban population globally and the share of urban population is projected to increase to 66% by 2050 (UN, 2019). Developing tools to monitor and understand the past and current urbanisation process is key to guide appropriate urban planning and policy strategies.\n", "\n", "Recent technological developments can help overcome the paucity in spatially-detailed\n", "urban data in less developed countries. The combination of geospatial technology, cheap computing and new machine learning algorithms has ushered in an age of new\n", "forms of data, producing brand new data sets and repurposing existing sources.\n", "Satellite imagery represents a key source of information. Photographs from the sky have existed for decades, but their use in the context of socioeconomic urban research has been limited. Image data has been hard to process and understand for social scientists. Yet recent developments in machine learning and artificial intelligence have made images computable and turned these data into brand new information to be explored by quantitative urban researchers. Further, satellite data has become more abundant and openly accessible in the past decade, and offers new possibilities for data exploration through increasing spatial and temporal resolution. This, together with more computational power being available, allows to process these data in an efficient and meaningful way. \n", "\n", "This notebook illustrates an easy-to-use analytical framework based on Python tools which enables batch download, image feature extraction, analysis and visualisation of high-resolution satellite imagery to capture long-term urban changes. Our purpose is to fill in the absence of a systematic and reproducible framework to acquire, process and analyse satellite imagery in urban built environment related to the field of Regional Science. The source of satellite data and administrative boundaries data are from NASA's Landsat satellite programme and ArcGIS Online. The Python libraries used in this notebook are the following:\n", "\n", "* [Landsat images in Google Cloud Storage](https://cloud.google.com/storage/docs/public-datasets/landsat): The Google Cloud Storage is accessed using an API to download Landsat imagery (version used: 0.4.9)\n", "* [Matplotolib](https://matplotlib.org/contents.html):A Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. \n", "* [Numpy](https://docs.scipy.org/doc/): Adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions \n", "* [Pandas](https://pandas.pydata.org/pandas-docs/stable/): Provides high-performance, easy-to-use data structures and data analysis tools \n", "* [GeoPandas](http://geopandas.org/): Python library that simplifies working with geospatial data (version used: 0.6.2)\n", "* [Folium](http://folium.readthedocs.io/en/latest/): Python library that enables plotting interactive maps using leaflet (verision used: 0.10.0)\n", "* [Glob](https://docs.python.org/2/library/glob.html): Unix style pathname pattern expansion\n", "* [GDAL](https://gdal.org/): Library for geospatial data processing (version used: 2.4.4)\n", "* [Landsat578](https://github.com/dgketchum/Landsat578): Simple Landsat imagery download tool\n", "* [L8qa](https://github.com/mapbox/rio-l8qa/blob/master/README.md): Landsat processing toolbox (verision used: 0.1.1)\n", "* [Rasterio](https://rasterio.readthedocs.io/en/stable/): Library for raster data processing (verision used: 1.1.3)\n", "* [Scikit-image](http://scikit-image.org/docs/dev/): Collection of algorithms for image processing\n", "* [Wget](https://pypi.org/project/wget/): Pure python download utility (version used: 3.2)\n", "* [OpenCV](https://pypi.org/project/opencv-python/): Library for image processing\n", "* [scikit-learn](https://scikit-learn.org/stable/index.html): Machine learning in Python. Simple and efficient tools for data mining and data analysis.\n", "\n", "We can import them al as follows:" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "scrolled": true }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "#load external libraries\n", "import matplotlib.pyplot as plt\n", "from matplotlib import colors\n", "import pandas as pd\n", "import numpy as np\n", "import geopandas as gpd\n", "import folium\n", "import os, shutil\n", "import glob\n", "import gdal\n", "import wget\n", "from landsat import google_download\n", "from google_download import GoogleDownload\n", "from l8qa.qa import write_cloud_mask\n", "import rasterio\n", "import rasterio as rio\n", "from rasterio import merge \n", "from rasterio.plot import show\n", "from rasterio.mask import mask\n", "from skimage import io,exposure, transform,data\n", "from skimage.color import rgb2hsv, rgb2gray\n", "from skimage.feature import local_binary_pattern\n", "from sklearn.cluster import KMeans\n", "import matplotlib.cm as cm\n", "from sklearn import preprocessing\n", "from rasterio.enums import Resampling\n", "import seaborn as sns\n", "import itertools\n", "\n", "wdir= os.getcwd()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The remainder of this paper is structured as follows. The next section introduces the Landsat satellite imagery, study area Shanghai, and process on how to batch download and pre-process satellite data. Section 3 proposes our methods to extract different features including colour, texture, vegetation and built-up from imagery. Section 4 performs a clustering method on the extracted features, and section 5 interprets the results and gain insights from them. Finally, section 6 concludes by providing a summary of our work and avenues for further research using our proposed framework." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data and Study Area" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Landsat Imagery\n", "We draw data from the NASA's Landsat satellite programme. It is the longest standing programme for Earth observation (EO) imagery (NASA, 2019). Landsat satellites have been orbiting the Earth for 46 years providing increasingly higher resolution imagery. Landsat Missions 1-3 offer coarse imagery of 80m covering the period from 1972 to 1983. Landsat Missions 4-5 provides images of 30m resolution covering the period from 1983 to 2013 and Landsat Missions 7-8 are currently collecting enhanced images at 15m capturing Cirrus and Panchromatic bands, in addition to the traditional RGB, Near-, Shortwave-Infrared, and Thermal bands. The Landsat 6 mission was unsuccessful due to the transporting rocket not reaching orbit. Landsat imagery is openly available and offers extensive temporal coverage stretching for 46 years. Table 1 provides a summary overview of the operation, revisit time and image resolution for the Landsat programme, with other Earth observation satellite missions being shown in table 2. \n", "\n", "*Table 1: Overview of Landsat missions, their revisit time and spatial resolution*\n", "\n", "| Mission | Operational time | Revisit time | Resolution |\n", "|---|---|----|---|\n", "| Landsat 1 | 1972-1978 | 18 d | 80 m |\n", "| Landsat 2 | 1975-1982 | 18 d | 80 m |\n", "| Landsat 3 | 1978-1983 | 18 d | 80 m |\n", "| Landsat 4 | 1983-1993 | 16 d | 30 m |\n", "| Landsat 5 | 1984-2013 | 16 d | 30 m |\n", "| Landsat 7 | 1999-present | 16 d |15 m |\n", "| Landsat 8 | 2013-present | 16 d | 15 m|\n", "\n", "Additional Earth observation programmes exist. These programmes also offer freely accessible imagery at a higher resolution.\n", "\n", "*Table 2: Overview of other Earth observation satellites, their revisit time and spatial resolution*\n", "\n", "| Provider | Programme | Operational time | Revisit time | Resolution |\n", "|---|---|----|---|---|\n", "|European Space Agency | Sentinel | 2015-present| 5 d | 10m |\n", "|Planet Labs | Rapideye
Planetscope
Skysat | 2009-present | 4/5 d to daily | up to 0.8 m |\n", "|NASA | Orbview 3 | 2003-2007 | < 3 d |1-4 m |\n", "|NASA | EO-1 | 2003 -2017 | -- | 10-30 m|" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Study Area" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this analysis, we examine urban changes in Shanghai, China. Shanghai has experienced rapid population growth. Between 2000 and 2010, Shanghai’s population rose by 7.4 million from 16.4 million to 23.8 million. It has an annual growth rate of 3.8 percent over 10 years. While the pace of population expansion has been less acute, Shanghai’s population has continued to grow. In 2018, an estimated 24.24 million people were living in Shanghai experiencing a population expansion of approximately 8 million since 2010. The city is therefore a well suited example to explore long-term changes in urbanisation. \n", "\n", "To extract satellite imagery, a first step is to identify the shape of the geographical area of interest. To this end, we use a polygon shapefile ([Shapefile source](https://www.arcgis.com/home/item.html?id=105f92bd1fe54d428bea35eade65691b)). These polygons represent the Shanghai metropolitan area, so they include the city centre and surrounding areas. These polygons will be used as a bounding box to identify and extract relevant satellite images. We need to ensure the shapefile is in the same coordinate reference system (CRS) as the satellite imagery (WGS84 or EPSG:4326)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Specify the path to your shapefile\n", "directory = os.path.dirname(wdir)\n", "shp = 'shang_dis_merged/shang_dis_merged.shp'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Certify that the shapefile is in the right coordinate system, otherwise reproject it into the right CRS\n", "def shapefile_crs_check(file):\n", " global bbox\n", " bbox = gpd.read_file(file)\n", " crs = bbox.crs\n", " data = crs.get(\"init\", \"\")\n", " if 'epsg:4326' in data:\n", " print('Shapefile in right CRS')\n", " else:\n", " bbox = bbox.to_crs({'init':'epsg:4326'})\n", " f,ax = plt.subplots(figsize=(5,5))\n", " plt.title('Fig.1: Shapefile of Shanghai urban area',y= -0.2)\n", " bbox.plot(ax=ax)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shapefile in right CRS\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "shapefile_crs_check(shp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "\n", "The world reference system (WRS) from NASA is a system to identify individual satellite imagery scenes using path-row tuples instead of absolute latitude/longitude coordinates. The latitudinal centre of the image corresponds to the row, the longitudinal centre to the path. This system allows to uniformly catalogue satellite data across multiple missions and provides an easy to use reference system for the end user. It is necessary to note that the WRS was changed between Landsat missions, due to a difference in swath patterns of the more recent Landsat satellites (NASA, 2019). The WRS1 is used for Landsat missions 1-3 and the WRS2 for Landsat missions 4,5,7,8. \n", "In order to obtain path-row tuples of relevant satellite images for an area of interest (AOI), it is necessary to intersect the WRS shapefile (either WRS1 or WRS2, depending on the Landsat satellite you would like to obtain data from) with the AOI shapefile. The resulting path-row tuples will later be used to locate and download the corresponding satellite images from the Google Cloud Storage. The output of the intersection between WRS and AOI files can be visualised using an interactive widget. The map below shows our area of interest in purple and the footprints of the relevant Landsat images on top of an OpenStreetMap basemap.\n", "\n", "---" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Donwload the WRS 2 file to later intersect the shapefile with the WRS path/row tuples to identify \n", "# relevant Landsat scenes\n", "def sat_path():\n", " \n", " url = 'https://prd-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/WRS2_descending_0.zip'\n", " # Create folder for WRS2 file\n", " if os.path.exists(os.path.join('Landsat_images','wrs2')):\n", " print('folder exists')\n", " else:\n", " os.makedirs(os.path.join('Landsat_images','wrs2'))\n", "\n", " WRS_PATH = os.path.join('Landsat_images','WRS2_descending_0.zip')\n", " LANDSAT_PATH = os.path.dirname(WRS_PATH)\n", " \n", " # The WRS file is only needed once thus we add this loop\n", " if os.path.exists(WRS_PATH):\n", " print('File already exists')\n", " # Downloads the WRS file from the URL given and unzips it\n", " else:\n", " wget.download(url, out = LANDSAT_PATH)\n", " shutil.unpack_archive(WRS_PATH, os.path.join(LANDSAT_PATH, 'wrs2'))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "folder exists\n", "File already exists\n", "Wall time: 1e+03 µs\n" ] } ], "source": [ "%%time\n", "# WARNING: this will take time the first time it's executed\n", "# depending on your connection\n", "sat_path()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Intersect the shapefile with the WRS2 shapefile to determine relevant path/row tuples\n", "def get_pathrow():\n", " global paths,rows,path,row, wrs_intersection\n", " \n", " wrs=gpd.GeoDataFrame.from_file(os.path.join('Landsat_images','wrs2','WRS2_descending.shp'))\n", " wrs_intersection=wrs[wrs.intersects(bbox.geometry[0])]\n", " paths,rows=wrs_intersection['PATH'].values, wrs_intersection['ROW'].values\n", " \n", " for i, (path,row) in enumerate(zip(paths,rows)):\n", " print('Image', i+1, ' -path:', path, 'row:', row)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image 1 -path: 118 row: 38\n", "Image 2 -path: 119 row: 38\n" ] } ], "source": [ "get_pathrow()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Visualise the output of the intersection with the shapefile using Folium\n", "\n", "# Get the centre of the map\n", "xy = np.asarray(bbox.centroid[0].xy).squeeze()\n", "center = list(xy[::-1])\n", "\n", "# Select a zoom\n", "zoom = 8\n", "\n", "# Create the most basic OSM folium map\n", "m = folium.Map(location = center, zoom_start = zoom, control_scale=True)\n", "\n", "# Add the bounding box (bbox) GeoDataFrame in red using a lambda function\n", "m.add_child(folium.GeoJson(bbox.__geo_interface__, name = 'Area of Interest', \n", " style_function = lambda x: {'color': 'purple', 'alpha': 0}))\n", "\n", "loc = 'Fig 2.: Landsat satellite tiles that cover the Area of Interest'\n", "title_html = '''\n", "
{}
\n", " '''.format(loc) \n", "m.get_root().html.add_child(folium.Element(title_html))\n", "\n", "# Iterate through each polygon of paths and rows intersecting the area\n", "for i, row in wrs_intersection.iterrows():\n", " # Create a string for the name containing the path and row of this Polygon\n", " name = 'path: %03d, row: %03d' % (row.PATH, row.ROW)\n", " # Create the folium geometry of this Polygon \n", " g = folium.GeoJson(row.geometry.__geo_interface__, name=name)\n", " # Add a folium Popup object with the name string\n", " g.add_child(folium.Popup(name))\n", " # Add the object to the map\n", " g.add_to(m)\n", "m" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fig 2.: Landsat satellite tiles that cover the Area of Interest" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image 1 -path: 118 row: 38\n", "Image 2 -path: 119 row: 38\n" ] } ], "source": [ "# Display number of images and Path/Row of the image\n", "for i, (path,row) in enumerate(zip(paths,rows)):\n", " print('Image', i+1, ' -path:', path, 'row:', row)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that here you have two options: 1) continuing and executing the code reported in the next two sections on data donwload and image cropping, or 2) skipping these sections and proceeding to the image mosaicing sections. We recommend 2) as the processing of unzipping every folder may take long causing the JupyterLab instance to crash." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data download and pre-processing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now have relevant path and row tuples for our area of analysis. So we can proceed to download satellite images, which are stored on the Google Cloud. To download images, we specify certain parameters: time frame, cloudcover in percentage (0-100 %) and satellite mission (1-5,7,8). The here used Landsat578 API automatically searches the Google Cloud for scenes with the specified parameters and downloads matching images. In order to search the Google Cloud for relevant images, a list of available needs to be downloaded when the code is run for the first time. The list provides basic information of the satellite images and since Landsat data acquisition is ongoing, is updated continuously. Thus, if data from the latest acquisition date is required, it is recommended to re-download the file list before running the code. \n", "\n", "We use satellite imagery from a Landsat 5 scene taken in 1984 and a Landsat 8 taken in 2019 to determine neighbourhood changes over time. Landsat 5 scenes can be obtained from two different sensors, the Multispectral Scanner System and the Thematic Mapper, which provide 4 and 7 bands, respectively. The Multispectral Scanner System (MSS) is used in Landsat 1-3 and was superseded by the Thematic Mapper (TM). The MSS provides a green and red band (Band numbers: 1,2) and two infrared bands (Band numbers: 3,4), while the TM provides bands covering red, blue and green (Band numbers: 1,2,3), near-infrared (Band numbers: 4), short-wave infrared (Band numbers:5,7) and thermal infrared (6). Each downloaded scene contains all bands with one image per band. The different bands can then be stacked in order to highlight various Earth surface processes. \n", "In this exercise, scenes from the MSS and TM are downloaded, but only data from the TM is used for analysis.\n", "\n", "The Operational Land Imager (OLI) aboard Landsat 8 provides multispectral bands (bands 1-7 and 9) with a resolution of 30 metres and a panchromatic band (band 8) with a resolution of 15 metres (Barsi et al., 2014a). The Thermal Infrared Sensor (TIRS) provides thermal infrared images (bands 10 and 11) with a resolution of 100 meters (Barsi et al., 2014b). The Landsat 8 satellite has a swath width of 185 km for the OLI and TIRS instruments, so one scene usually captures the extent of a city. In other cases, the geographical area of interest may extend beyond one image so that multiple images may be needed (Barsi et al., 2014b, Knight & Kvaran, 2014). Given the revisit time of 16 days, usually cloud free images can be retrieved for most cities on a bi-weekly or monthly basis (Roy et al., 2014). The folder and filename of each scene provides information about the satellite, instrument, path/row tuple and date.\n", "\n", "Table 3 and table 4 show which general information of the downloaded scenes can be inferred from the folder and file names of each individual scene:\n", "\n", "**FOLDER**:\n", "\n", "LXPPPRRRYYYYDDDGSIVV\n", "\n", "\n", "*Table 3: Overview of folder naming convention for Landsat images*\n", "\n", "|Parameter|Meaning|\n", "|---|---|\n", "|L | Landsat|\n", "|X | Sensor (“C”=OLI/TIRS combined, “O”=OLI-only, “T”=TIRS-only, “E”=ETM+, “T”=“TM, “M”=MSS)|\n", "|PPP | WRS path|\n", "|RRR | WRS row|\n", "|YYYY | Year|\n", "|DDD | Julian day of year|\n", "|GSI | Ground station identifier|\n", "|VV | Archive version number |\n", "\n", "

\n", "\n", "**IMAGE**:\n", "\n", "LXSS_LLLL_PPPRRR_YYYYMMDD_yyyymmdd_CC_TX\n", "\n", "*Table 4: Overview of file naming convention for Landsat images*\n", "\n", "|Parameter|Meaning|\n", "|---|---|\n", "| L | Landsat|\n", "|X | Sensor (“C”=OLI/TIRS combined, “O”=OLI-only, “T”=TIRS-only, “E”=ETM+, “T”=“TM, “M”=MSS)|\n", "|SS | Satellite (”07”=Landsat 7, “08”=Landsat 8)|\n", "|LLL | Processing correction level (L1TP/L1GT/L1GS)|\n", "|PPP | WRS path|\n", "|RRR | WRS row|\n", "|YYYYMMDD | Acquisition year, month, day|\n", "|yyyymmdd | Processing year, month, day|\n", "|CC | Collection number (01, 02, …)|\n", "|TX | Collection category (“RT”=Real-Time, “T1”=Tier 1, “T2”=Tier 2)|" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Landsat imagery download\n", "\n", "We will now download two Landsat satellite images, one from 1984 and one from 2019. The starting year was chosen due to the increase in spatial resolution to 30 metres with Landsat 4, whereas the end year was chosen at random. The specific dates were selected as the cloud cover was below 5%, ensuring an unobstructed view of the urban area. " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Download Tile list from Google - only needs to be done when first running the code\n", "# NOTE this cell is using the ! magic, which runs command line processes from a Jupyter \n", "# notebook. Make sure the `landsat` tool, from the `landsat578` package is installed\n", "# and available\n", "\n", "#Path to index file\n", "Index_PATH = os.path.join(directory + '/index.csv.gz')\n", "if os.path.exists(Index_PATH):\n", " print('File already exists')\n", "else:\n", " !landsat --update-scenes yes" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Define Download function to acquire scenes from the Google API\n", "def landsat_download(start_date, end_date, sat,path,row,cloud,output):\n", " g=GoogleDownload(start=start_date, end=end_date, satellite=sat, path=path, row=row, max_cloud_percent=cloud, output_path=output)\n", " g.download()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Specify start/end date (in YYYY-MM-DD format), the cloud coverage of the image (in %) and the satellite\n", "# you would like to acquire images from (1-5,7,8). In this case we acquire a recent scene from Landsat 8\n", "# with a cloud coverage of 5 %.\n", "\n", "start_date = '2019-01-01'\n", "end_date = '2019-02-20'\n", "cloud = 5\n", "satellites = [8]\n", "output = os.path.join(directory + '/Lansat_images/')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Loop through the specified satellites for each path and row tuple\n", "for sat in satellites:\n", " for i, (path,row) in enumerate(zip(paths,rows)):\n", " print('Image', i+1, ' -path:', path, 'row:', row)\n", " landsat_download(start_date, end_date,sat,path,row,cloud,output)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# The above step is repeated to acquire a Landsat 5 scene from 1984 with 5 % cloud coverage. \n", "start_date = '1984-04-22'\n", "end_date = '1984-04-24'\n", "cloud = 5\n", "satellites = [5]\n", "output = os.path.join(directory + '/Lansat_images/')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Loop through the specified satellites for each path and row tuple\n", "for sat in satellites:\n", " for i, (path,row) in enumerate(zip(paths,rows)):\n", " print('Image', i+1, ' -path:', path, 'row:', row)\n", " landsat_download(start_date, end_date,sat,path,row,cloud,output)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Delete Scenes that were acquired using the MSS:\n", "outdir = os.listdir(output)\n", "for i in outdir:\n", " if 'LM' in os.path.basename(i):\n", " try:\n", " shutil.rmtree(os.path.abspath(os.path.join(output,os.path.basename(i))))\n", " except OSError as e:\n", " print (\"Error: %s - %s.\" % (e.filename, e.strerror))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Image Cropping\n", "\n", "Satellite imagery is large. The size per image can easily equate to 1 GB. It often makes the data processing and analysis computationally expensive. Cropping the obtained scenes to the relevant region of the image enables faster processing and analysing by significantly reducing the size of the input." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Define cropping function using command line gdalwarp. \n", "## Note: The BQA band is the quality assessment band, which has a different no data value (1) than the other\n", "## bands (0), which makes it necessary to us a different croping function. \n", "\n", "def crop(inraster,outraster,shape):\n", " !gdalwarp -cutline {shape} -srcnodata 0 -crop_to_cutline {inraster} {outraster}\n", " \n", "def crop_bqa(inraster,outraster,shape):\n", " !gdalwarp -cutline {shape} -srcnodata 1 -crop_to_cutline {inraster} {outraster}" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Loop through every folder and a create an image cropped to the extent of the shapefile\n", "# save it with the original name and the extension _Cropped\n", "for t in range(0,12):\n", " for filename in glob.glob((output+'/**/*_B{}.tif').format(t), recursive=True):\n", " inraster = filename\n", " outraster = filename[:-4] + '_Cropped.tif' \n", " crop(inraster, outraster, shp)\n", "for filename in glob.glob(output+'/**/*.tif'):\n", " if 'BQA.TIF' in i:\n", " inraster = i\n", " outraster = i[:-4] + '_Cropped.tif' \n", " crop_bqa(inraster,outraster,shp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Image mosaic\n", "\n", "As indicated above, a single Landsat scene may not cover the full extent of a city due to the satellite's flight path as can be observed from the interactive map. Creating a mosaic of two or more images is thus often needed to produce a single image that covers the entirety of the area under analysis." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Read in the relevant Landsat 8 files\n", "output = 'Landsat_images/'\n", "images = sorted(os.listdir(output))\n", "dirpath1 = os.path.join(output, images[0])\n", "dirpath2 = os.path.join(output, images[1])\n", "mosaic_n = os.path.join(output,'Mosaic/')\n", "search = 'L*_Cropped.tif'\n", "query1 = os.path.join(dirpath1,search)\n", "query2 = os.path.join(dirpath2,search)\n", "files1 = glob.glob(query1)\n", "files2 = glob.glob(query2)\n", "files1.sort()\n", "files2.sort()\n", "if os.path.exists(mosaic_n):\n", " print('Output Folder exists')\n", "else:\n", " os.makedirs(mosaic_n)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Match bands together and create a mosaic. Since the BQA band and the cloudmask have different denominations \n", "# than the other bands, these images have to be merged together separately. \n", "def mosaic_new(scene1,scene2): \n", " src_mosaic =[]\n", " string_list=[]\n", " for i,j in zip(scene1,scene2):\n", " for k in range(1,12):\n", " string_list.append('B{}_Cropped'.format(k))\n", " for l in range(0,11):\n", " if string_list[l] in os.path.basename(i) and os.path.basename(j):\n", " src1 = rasterio.open(i)\n", " src2 = rasterio.open(j)\n", " src_mosaic = [src1,src2] \n", " mosaic,out_trans = rasterio.merge.merge(src_mosaic)\n", " out_meta = src1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic.shape[1],'width':mosaic.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_n,'B{}_mosaic.tif'.format(l))\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic)\n", " # Mosaic Quality Assessment Band \n", " if 'BQA_Cropped' in os.path.basename(i) and os.path.basename(j):\n", " bqa1 = rasterio.open(i)\n", " bqa2 = rasterio.open(j)\n", " bqa_mosaic = [bqa1,bqa2] \n", " mosaic_,out_trans = rasterio.merge.merge(bqa_mosaic,nodata=1)\n", " out_meta = bqa1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic_.shape[1],'width':mosaic_.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_n,'BQA_mosaic.tif')\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic_)\n", "\n", " # Mosaic of Cloudmask \n", " search = 'cloudmask.tif'\n", " query3 = os.path.join(dirpath1,search)\n", " query4 = os.path.join(dirpath2,search) \n", " files3 = glob.glob(query3)\n", " files4 = glob.glob(query4)\n", " for i,j in zip(files3,files4):\n", " if 'cloudmask' in os.path.basename(i)and os.path.basename(j):\n", " cloudmask1 = rasterio.open(i)\n", " cloudmask2 = rasterio.open(j)\n", " cloud_mosaic = [cloudmask1,cloudmask2] \n", " mosaic_c,out_trans = rasterio.merge.merge(cloud_mosaic,nodata=1)\n", " out_meta = cloudmask1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic_c.shape[1],'width':mosaic_c.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_n,'Cloudmask_mosaic.tif')\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic_c)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "mosaic_new(files1,files2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Read in the relevant files for the Landsat 5 scenes\n", "images = sorted(os.listdir(output))\n", "dirpath_o1 = os.path.join(output, images[2])\n", "dirpath_o2 = os.path.join(output, images[3])\n", "mosaic_o = os.path.join(output,'Mosaic_old/')\n", "query_o1 = os.path.join(dirpath_o1,search)\n", "query_o2 = os.path.join(dirpath_o2,search)\n", "files_o1 = glob.glob(query_o1)\n", "files_o2 = glob.glob(query_o2)\n", "files_o1.sort()\n", "files_o2.sort()\n", "if os.path.exists(mosaic_o):\n", " print('Output Folder exists')\n", "else:\n", " os.makedirs(mosaic_o)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Match bands together and create a mosaic. Since the BQA band and the cloudmask have different denominations \n", "# than the other bands, these images have to be merged together separately. \n", "def mosaic_old(scene_o1,scene_o2):\n", " src_mosaic =[]\n", " string_list=[]\n", " for i,j in zip (scene_o1,scene_o2):\n", "\n", " for k in range(1,8):\n", " string_list.append('B{}_Cropped'.format(k))\n", " for l in range(0,7):\n", " if string_list[l] in os.path.basename(i) and os.path.basename(j):\n", " src1 = rasterio.open(i)\n", " src2 = rasterio.open(j)\n", " src_mosaic = [src1,src2] \n", " mosaic,out_trans= rasterio.merge.merge(src_mosaic)\n", " out_meta = src1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic.shape[1],'width':mosaic.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_o,'B{}_mosaic.tif'.format(l))\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic)\n", " # Mosaic Quality Assessment Band \n", " if 'BQA_Cropped' in os.path.basename(i) and os.path.basename(j):\n", " bqa1 = rasterio.open(i)\n", " bqa2 = rasterio.open(j)\n", " bqa_mosaic = [bqa1,bqa2] \n", " mosaic_,out_trans= rasterio.merge.merge(bqa_mosaic,nodata=1)\n", " out_meta = bqa1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic_.shape[1],'width':mosaic_.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_o,'BQA_mosaic.tif')\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic_)\n", "\n", " # Mosaic of Cloudmask \n", " search = 'cloudmask.tif'\n", " query_o3= os.path.join(dirpath_o1,search)\n", " query_o4 = os.path.join(dirpath_o2,search) \n", " files_o3 = glob.glob(query_o3)\n", " files_o4 = glob.glob(query_o4)\n", " for i,j in zip(files_o3,files_o4):\n", " if 'cloudmask' in os.path.basename(i)and os.path.basename(j):\n", " cloudmask1 = rasterio.open(i)\n", " cloudmask2 = rasterio.open(j)\n", " cloud_mosaic = [cloudmask1,cloudmask2] \n", " mosaic_c,out_trans= rasterio.merge.merge(cloud_mosaic,nodata=1)\n", " out_meta = cloudmask1.meta.copy()\n", " out_meta.update({\"driver\": \"GTiff\", 'height':mosaic_c.shape[1],'width':mosaic_c.shape[2],\n", " 'transform':out_trans})\n", " outdata = os.path.join(mosaic_o,'Cloudmask_mosaic.tif')\n", " with rasterio.open(outdata,'w',**out_meta) as dest:\n", " dest.write(mosaic_c)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "mosaic_old(files_o1,files_o2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Natural-colour (True-colour) composition \n", "\n", "Our downloaded data from Landsat 8 and Landsat 5 have different band designations. Combining different satellite bands are useful to identify features of the urban environment: vegetation, built-up areas, ice and water. We create a standard natural-colour composition image using Red, Green and Blue satellite bands. This colour composition best reflects the natural environment. For instance, trees are green; snow and clouds are white; and water is blue. Landsat 8 has 11 bands with bands 4, 3 and 2 corresponding to Red, Green and Blue respectively. Landsat 5 has 7 bands with bands 3, 2 and 1, corresponding to Red, Green and Blue. We perform layer stacking to produce a true colour image composition to gain understanding of the local area before extracting and analysing features of the urban environment. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Normalise the bands to so that they can be combined to a single image\n", "def normalize(array):\n", " \"\"\"Normalizes numpy arrays into scale 0.0 - 1.0\"\"\"\n", " array_min, array_max = array.min(), array.max()\n", " return ((array - array_min)/(array_max - array_min))\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Adjust the intensity of each band for visualisation.\n", "# This is a way of rescaling each band by clipping the pixels that are outside the specified range to\n", "# the range we defined. By adjusting the gamma, we change the brightness of the image with gamma >1 \n", "# reuslting in a brighter image. However there are more complex methods such as top of the atmosphere \n", "# corrections, which subtracts any atmospheric interference from the image. \n", "# For the purpose of this notebook, this way is sufficient. \n", "def rescale_intensity(image):\n", " p2, p98 = np.percentile(image, (0.2, 98))\n", " img_exp = exposure.rescale_intensity(image, in_range=(p2, p98)) \n", " img_gamma = exposure.adjust_gamma(img_exp, gamma=2.5,gain=1)\n", " return(img_gamma)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Downsample image resolution with factor 0.5 for displaying purposes.\n", "def downsample(file):\n", " downscale_factor=0.5\n", " data = file.read(1,\n", " out_shape=(\n", " file.count,\n", " int(file.height * downscale_factor),\n", " int(file.width * downscale_factor)\n", " ),\n", " resampling=Resampling.bilinear\n", " )\n", " # scale image transform\n", " transform = file.transform * file.transform.scale(\n", " (file.width / data.shape[-1]),\n", " (file.height / data.shape[-2])\n", " )\n", " return data" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Use rasterio to open the Red, Blue and Green bands of the mosaic image from 1984 to create an RGB image\n", "# **NOTE**: The Mosaic names do not correspond to the actual band designations as python starts\n", "# counting at 0!\n", "with rasterio.open('Landsat_images/Mosaic_old/B0_mosaic.tif') as band1_old:\n", " b1_old=downsample(band1_old)\n", "with rasterio.open('Landsat_images/Mosaic_old/B1_mosaic.tif') as band2_old:\n", " b2_old=downsample(band2_old)\n", "with rasterio.open('Landsat_images/Mosaic_old/B2_mosaic.tif') as band3_old:\n", " b3_old=downsample(band3_old)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Normalise the bands so that they can be combined to a single image\n", "red_old_n = normalize(b3_old)\n", "green_old_n = normalize(b2_old)\n", "blue_old_n = normalize(b1_old)\n", "\n", "# Apply the function defined before to make more natural-looking image\n", "red_adj = rescale_intensity(red_old_n)\n", "green_adj = rescale_intensity(green_old_n)\n", "blue_adj = rescale_intensity(blue_old_n)\n", "\n", "# Stack the three different bands together\n", "rgb_2 = np.dstack((red_adj,green_adj,blue_adj))\n", "\n", "# Visualise the true colour image\n", "fig,ax = plt.subplots(figsize=(10,10))\n", "ax.imshow(rgb_2)\n", "plt.title('Fig.3: True colour Landsat image of the Shanghai urban area from 1984',y=-0.1, fontsize=12)\n", "plt.show()\n", "plt.close()\n", "del rgb_2,b1_old,b2_old,b3_old,red_adj,green_adj,blue_adj" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Use rasterio to open the Red, Blue and Green bands of the mosaic image from 2019 to create an RGB image\n", "# **NOTE**: The Mosaic names do not correspond to the actual band designations as python starts\n", "# counting at 0!!\n", "with rasterio.open('Landsat_images/Mosaic/B1_mosaic.tif') as band2_new:\n", " b2_new = downsample(band2_new)\n", "with rasterio.open('Landsat_images/Mosaic/B2_mosaic.tif') as band3_new:\n", " b3_new = downsample(band3_new)\n", "with rasterio.open('Landsat_images/Mosaic/B3_mosaic.tif') as band4_new: \n", " b4_new = downsample(band4_new)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Normalise the bands so that they can be combined to a single image\n", "red_new_n = normalize(b4_new)\n", "green_new_n = normalize(b3_new)\n", "blue_new_n = normalize(b2_new)\n", "\n", "# Apply the function defined before to make more natural-looking image\n", "red_rescale = rescale_intensity(red_new_n)\n", "green_rescale = rescale_intensity(green_new_n)\n", "blue_rescale = rescale_intensity(blue_new_n)\n", "\n", "# Stack the three different bands together\n", "rgb = np.dstack((red_rescale, green_rescale, blue_rescale))\n", "\n", "# Here we adjust the gamma (brightness) for the stacked image to achieve a more natural looking image. \n", "rgb_adjust = exposure.adjust_gamma(rgb, gamma = 1.5, gain=1)\n", "\n", "# Visualise the true colour image\n", "fig,ax = plt.subplots(figsize=(10,10))\n", "ax.imshow(rgb_adjust)\n", "plt.title('Fig.4: True colour Landsat image of the Shanghai urban area from 2019', y=-0.1, fontsize=12)\n", "plt.show()\n", "plt.close()\n", "del rgb,red_new_n,green_new_n,blue_new_n,red_rescale,green_rescale,blue_rescale,rgb_adjust" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When comparing the true colour Landsat satellite images in Fig.3 and Fig.4, the urbanisation of Shanghai between 1984 and 2019 is apparent. In the following steps, we will analyse and quantify these urban changes. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature extraction\n", "Since the above two maps show that urban neighbourhoods of Shanghai have undergone dramatic changes over time in colour, texture, greenery, buildings, etc., the next stage is to gain valuable information out of satellite images and interpret these changes. Since the images we have downloaded are on a city-wide scale, which covers more than a thousand kilometre spatial resolution and less detailed. Therefore, feature extraction is performed to get a reduced representation of the initial image but informative and sufficiently accurate for subsequent analysis and interpretation. \n", "\n", "We examine four sets of features based on the above two true colour maps and the scale, where the colour, texture, greenery, and buildings changed a lot during the past 25 years in Shanghai. Specifically, colour and texture features extracted from true colour imagery (i.e. RGB bands composition represented by bands 1-3 and bands 2-4 in 1984 and 2019), and vegetation features and built-up features extracted from Red, near infrared (NIR) and shortwave infrared (SWIR) bands, represented by bands 3-5 and bands 4-6 in 1984 and 2019. More detailed information about the meaning of each band can be found from [here](https://www.usgs.gov/faqs/what-are-best-landsat-spectral-bands-use-my-research?qt-news_science_products=0#qt-news_science_products). In this analysis, colour features measure the colour moments of true colour imagery to interpret colour distribution; texture features apply LBP (Local binary patterns) texture spectrum model to show spatial distribution of intensity values in an image; vegetation features calculate the NDVI (Normalised difference vegetation index) to capture the amount of vegetation, and built-up features caculate NDBI (Normalised difference built-up index) to highlight artificially constructed areas. \n", "\n", "The administrative divisions of Shanghai have experienced tremendous changes in the last tens of years (MCAPRC, 2018), thus, we will conduct feature extration of imagery on the current administrative boundaries to explore if satellite imagery can be used to reflect and interpret urban changes. The figure below shows the spatial distribution of each administrative area with relative labels in Shanghai. " ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, -0.1, 'Fig.5: Spatial distribution of all administrative divisions of Shanghai')" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#read administrative boundary shapefile of Shanghai \n", "poly = gpd.read_file(shp)\n", "\n", "\n", "f, ax = plt.subplots(1, figsize = (9,9))\n", "poly.plot(ax = ax)\n", "#create a new colomn, in order to plot polygon labels (i.e. name) in the map\n", "poly['coords']=poly['geometry'].apply(lambda x:x.representative_point().coords[:])\n", "poly['coords']=[coords[0] for coords in poly['coords']]\n", "for idx, row in poly.iterrows():\n", " ax.annotate(text=row['Name'],xy=row['coords'],va='center',ha='center',alpha = 0.8, fontsize = 8)\n", "plt.axis('equal')\n", "plt.axis('off')\n", "f.suptitle('Fig.5: Spatial distribution of all administrative divisions of Shanghai', y=-0.1,fontsize = 12)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 5 shows that administrative divisions of 'Chongming' in the north appear three geometries. Therefore, it is necessary to check if they belong to a single administrative unit." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "0 Chongming\n", "3 Chongming\n", "5 Chongming\n", "Name: Name, dtype: object" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "poly.loc[poly['Name']== 'Chongming','Name']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Chongming administrative division consist of three separate geometries, which may confuse our further analysis. As a result, we dissolved these geometries into a single geometric feature and take a look at the new dataset. The below table shows that the Chongming administrative division now consists of multipolygons which includes all polygons as a whole. " ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "array(['Baoshan', 'Changning', 'Chongming', 'Fengxian', 'Hongkou',\n", " 'Huangpu', 'Jiading', 'Jinshan', 'Minhang', 'Pudong New', 'Putuo',\n", " 'Qingpu', 'Songjiang', 'Xuhui', 'Yangpu', 'Zhabei'], dtype=object)" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Dissolve geometries with the identical names together\n", "poly = poly.dissolve(by = 'Name').reset_index()\n", "#Have a look at the name of all administrative unit and we can see that chongming districts\n", "#have been dissolved into a single administrative unit\n", "poly['Name'].values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Image processing\n", "Further pre-processing of satellite imagery is needed before feature extraction. This pre-processing involves three steps: \n", "* Masking(cropping) of raster files (i.e., Blue, Green, Red, Nir and SWIR bands) into each administrative district polygon;\n", "* Image enhancement to improve the quality and content of the original image; and,\n", "* Band stacking based on each neighbourhood unit." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#open raster files\n", "file_list_old = sorted(glob.glob('Landsat_images/Mosaic_old' + \"/*.tif\",recursive = True))\n", "files_old = [rio.open(filename) for filename in file_list_old]" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "scrolled": true }, "outputs": [], "source": [ "file_list = sorted(glob.glob('Landsat_images/Mosaic' + \"/*.tif\"))\n", "files = [rio.open(filename) for filename in file_list]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before cropping all raster files into each polygon in the vector file (i.e. Shanghai administrative area shapefile), we have to ensure they have the same coordinate reference system (CRS). Once matched, the cropping process is prepared to go." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "{'init': 'epsg:4326'}" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "poly.crs" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "CRS.from_epsg(32651)" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#check the crs of one band of satellite imagery\n", "files[0].crs" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#reproject the vector file to make it consistent with raster files\n", "poly = poly.to_crs('EPSG:32651')" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#get each neighbourhood geographic boundary based on administrative area data\n", "geo = [poly.__geo_interface__['features'][i]['geometry'] \n", " for i in range(len(poly))]" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#clip R,G,B bands separately by each poly, so get pixel values in each poly and save them into a list\n", "out_image = [[] for i in range(5)]\n", "img_old = [[] for i in range(5)]\n", "\n", "#x: Blue,Green,Red,NIR and SWIR bands, y: 16 polygons from vertor file\n", "for x,y in itertools.product(range(5),range(len(geo))): \n", " #out_image[0] means masked Blue band polygon\n", " out_image[x].append(mask(files_old[0:5][x], [geo[y]], crop=True))\n", " #image enhancement: normalisation and Histogram Equalization\n", " img_old[x].append(exposure.equalize_hist(normalize(out_image[x][y][0][0])))\n", "del out_image,files_old" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#clip R,G,B bands separately by each poly, so get pixel values in each poly and save them into a list\n", "out_image = [[] for i in range(5)]\n", "img_new = [[] for i in range(5)]\n", "\n", "#x: Blue,Green,Red,NIR and SWIR bands, y: 16 polygons from vertor file\n", "for x,y in itertools.product(range(5),range(len(geo))): \n", " #out_image[0] means masked Blue band polygon\n", " out_image[x].append(mask(files[0:5][x], [geo[y]], crop=True))\n", " #image enhancement: normalisation and Histogram Equalization\n", " img_new[x].append(exposure.equalize_hist(normalize(out_image[x][y][0][0])))\n", "del out_image,files" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "array([[0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378],\n", " [0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378],\n", " [0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378],\n", " ...,\n", " [0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378],\n", " [0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378],\n", " [0.48515378, 0.48515378, 0.48515378, ..., 0.48515378, 0.48515378,\n", " 0.48515378]])" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#have a look at the pixel values of one geographic area in blue band\n", "img_new[0][0]" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#stack R,G,B bands together for later feature extraction\n", "bb = [img_old[0][x].astype(np.float) for x in range(len(geo))]\n", "bg = [img_old[1][x].astype(np.float) for x in range(len(geo))]\n", "br = [img_old[2][x].astype(np.float) for x in range(len(geo))]" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "scrolled": true }, "outputs": [], "source": [ "rgb_old = [np.dstack((br[x],bg[x],bb[x])) for x in range(len(geo))]" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "scrolled": true }, "outputs": [], "source": [ "bb = [img_new[0][x].astype(np.float) for x in range(len(geo))]\n", "bg = [img_new[1][x].astype(np.float) for x in range(len(geo))]\n", "br = [img_new[2][x].astype(np.float) for x in range(len(geo))]" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "scrolled": true }, "outputs": [], "source": [ "rgb_new = [np.dstack((br[x],bg[x],bb[x])) for x in range(len(geo))]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Colour features\n", "Colour features are used to extract the characteristics of colours from satellite imagery. A commonly used method to extract colour features is to compute colour moments of an image. Colour moments provide a measurement of colour similarity between images (Keen, 2005). Basically, colour probability distributions of an image are characterised by a range of unique moments. The mean, standard deviation and skewness these three central moments are generally used to identify colour distribution. Here we extract colour features on HSV (Hue, Saturation and Value) colour space because it corresponds to human vision and has been widely used in computer vision. HSV colour space can be converted from RGB colour channels, Hue represents the colour portion, saturation represents the amount of grey in a particular colour (0 is grey), and Value represents the brightness of the colour (0 is black). Therefore, the true-colour imagery is characterised by a total of nine moments - three moments for each HSV channel in the same units." ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#interpret the colour probability distribution by computing low order colour moments(1,2,3)\n", "def color_moments(img):\n", " if img is None:\n", " return\n", " # Convert RGB to HSV colour space\n", " img_hsv = rgb2hsv(img)\n", " # Split the channels - h,s,v\n", " h, s, v = [img_hsv[:,:,i] for i in [0,1,2]]\n", " # Initialize the colour feature\n", " color_feature = []\n", " # N = h.shape[0] * h.shape[1]\n", " # The first central moment - average \n", " h_mean = np.mean(h) # np.sum(h)/float(N)\n", " s_mean = np.mean(s) # np.sum(s)/float(N)\n", " v_mean = np.mean(v) # np.sum(v)/float(N)\n", " color_feature.extend([h_mean, s_mean, v_mean])\n", " # The second central moment - standard deviation\n", " h_std = np.std(h) # np.sqrt(np.mean(abs(h - h.mean())**2))\n", " s_std = np.std(s) # np.sqrt(np.mean(abs(s - s.mean())**2))\n", " v_std = np.std(v) # np.sqrt(np.mean(abs(v - v.mean())**2))\n", " color_feature.extend([h_std, s_std, v_std])\n", " # The third central moment - the third root of the skewness\n", " h_skewness = np.mean(abs(h - h.mean())**3)\n", " s_skewness = np.mean(abs(s - s.mean())**3)\n", " v_skewness = np.mean(abs(v - v.mean())**3)\n", " h_thirdMoment = h_skewness**(1./3)\n", " s_thirdMoment = s_skewness**(1./3)\n", " v_thirdMoment = v_skewness**(1./3)\n", " color_feature.extend([h_thirdMoment, s_thirdMoment, v_thirdMoment])\n", "\n", " return color_feature" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#create and initialize a data table to store colour feastures\n", "color_mom_old = pd.DataFrame(color_moments(rgb_old[0]))\n", "#add the rest columns by assigning 9 color moments in each poly\n", "for i in range(1,len(rgb_old)):\n", " color_mom_old[i]= color_moments(rgb_old[i])\n", " i = i+1" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#create and initialize a data table\n", "color_mom_new = pd.DataFrame(color_moments(rgb_new[0]))\n", "#add the rest columns by assigning 9 color moments in each poly\n", "for i in range(1,len(rgb_new)):\n", " color_mom_new[i]= color_moments(rgb_new[i])\n", " i = i+1" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Data manipulation\n", "color_old_var = color_mom_old.T\n", "#assign column names\n", "color_old_var.columns = ['h_mean','s_mean','v_mean','h_std','s_std','v_std','h_skew','s_skew','v_skew']\n", "#set geographic name as index\n", "color_old_var= color_old_var.set_index(poly.Name)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "scrolled": true }, "outputs": [], "source": [ "color_new_var = color_mom_new.T\n", "color_new_var.columns = ['h_mean','s_mean','v_mean','h_std','s_std','v_std','h_skew','s_skew','v_skew']\n", "color_new_var= color_new_var.set_index(poly.Name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we have created two new tables for colour features in the year 1984 and 2019, it would be helpful to have a view of the tables and see how they look like. The below Table 5 and 6 show nine variables (column) representing colour features within five adminstrative division of Shanghai (row)." ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "scrolled": true }, "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", "
Table 5: Partial colour features identified in 1984
h_mean s_mean v_mean h_std s_std v_std h_skew s_skew v_skew
Name
Baoshan0.2721610.0520810.6441480.3270940.0724570.1853090.3567130.0900570.199446
Changning0.2214120.0515640.6598940.2883680.0751770.1744550.3308030.0925040.187627
Chongming0.1538070.0173940.7423090.2721620.0356270.1023470.3329160.0511840.120603
Fengxian0.3396130.1129150.6057580.3219410.1228050.2436210.3472260.1443920.257670
Hongkou0.2495260.0637040.6507250.3098250.0874390.1878050.3479680.1061940.200131
" ], "text/plain": [ "" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#check the information of colour feature \n", "color_old_var.head().style.set_caption('Table 5: Partial colour features identified in 1984')" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "scrolled": true }, "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", "
Table 6: Partial colour features identified in 2019
h_mean s_mean v_mean h_std s_std v_std h_skew s_skew v_skew
Name
Baoshan0.2310700.0358650.6389410.2978470.0520480.1801890.3367790.0678660.195591
Changning0.2318490.0312940.6492370.3046890.0484710.1670020.3443940.0629740.182483
Chongming0.1573060.0164730.7424020.2824950.0318430.1017710.3452890.0433600.119800
Fengxian0.2955390.0861970.6054310.3027310.0976950.2435960.3293880.1157020.257234
Hongkou0.2399440.0375820.6386130.3038300.0550470.1829380.3396150.0705520.197624
" ], "text/plain": [ "" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "color_new_var.head().style.set_caption('Table 6: Partial colour features identified in 2019')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Texture features\n", "\n", "To extract texture features, we use a Local Binary Pattern (LBP) approach. LBP searches for pixels adjacent to a central point and tests whether these surrounding pixels are greater or less than the central pixel and generate a binary classification ([Pedregosa et al., 2011](https://scikit-image.org/docs/dev/auto_examples/features_detection/plot_local_binary_pattern.html)). In theory, eight adjacent neighbour pixels in greyscale are set to compare with one central pixel value by 3 * 3 neighbourhood threshold, and consider the result as 1 or 0 (Ojala et al., 1996). Thus, these eight surrounding binary numbers correspond to LBP code for the central pixel value, determining the texture pattern of that threshold. Texture features are then the distribution of a collection of LBPs over an image." ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#convert a RGB image into Grayscale,which takes less space for analysis\n", "gray_images_old = [rgb2gray(rgb_old[i]) for i in range(len(rgb_old))]\n", "gray_images_new = [rgb2gray(rgb_new[i]) for i in range(len(rgb_new))]" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# settings for LBP\n", "radius = 1 #radius = 1 refers to a 3*3 patch/window scale\n", "n_points = 8 * radius # the number of circularly symmetric neighbour set points \n", "method = 'uniform'#finer quantization of the angular space which is gray scale and rotation invariant\n", "\n", "lbps_old = [local_binary_pattern(gray_images_old[i],n_points,radius,method) for i in range(len(rgb_old))]\n", "lbps_new = [local_binary_pattern(gray_images_new[i],n_points,radius,method) for i in range(len(rgb_new))]\n" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#n_bins are the same in each neighbourhood\n", "n_bins = int(lbps_old[0].max()+1)\n", "#define a function to count the number of points in a given bin of LBP distribution histogram\n", "def count_hist(x):\n", " return np.histogram(lbps_old[x].ravel(),density=True, bins=n_bins,range=(0, n_bins))\n", "#Assign counts to a new list, return the higtogram vector features in this cell(polygon)\n", "hist_features_old = [count_hist(i)[0] for i in range(len(rgb_old))]" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Extract texture features of another year based on same method\n", "n_bins = int(lbps_new[0].max()+1)\n", "\n", "def count_hist(x):\n", " return np.histogram(lbps_new[x].ravel(),density=True, bins=n_bins,range=(0, n_bins))\n", "\n", "#Assign counts to a new list, return the higtogram vector features in this cell(polygon)\n", "hist_features_new = [count_hist(i)[0] for i in range(len(rgb_new))]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Same with operations on colour features, this time we build two new tables (Table 7 and 8) for texture features, with each row present administrative division and each column represent texture feature." ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "scrolled": true }, "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", "
Table 7: Partial texture features identified in 1984
LBP0 LBP1 LBP2 LBP3 LBP4 LBP5 LBP6 LBP7 LBP8 LBP9
Name
Baoshan0.0350930.0419600.0407050.0683940.0783890.0674830.0403390.0411010.5200530.066483
Changning0.0360860.0460780.0419560.0597920.0600400.0644220.0375380.0433850.5394160.071285
Chongming0.0258220.0299460.0217570.0340580.0395800.0367870.0240350.0291580.7094440.049413
Fengxian0.0555080.0664680.0512300.0720020.0737670.0739280.0529070.0650990.3821100.106981
Hongkou0.0420180.0505620.0435420.0593260.0567590.0707180.0396910.0464900.5104290.080465
" ], "text/plain": [ "" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#The histogram features are the texture features\n", "texture_old_var = pd.DataFrame([hist_features_old[a] for a in range(len(rgb_old))])\n", "texture_old_var.columns = ['LBP'+ str(i) for i in range(n_bins)]\n", "texture_old_var = texture_old_var.set_index(poly.Name)\n", "#Have a look at the table with texture features of administrative division of Shanghai in 1984\n", "texture_old_var.head().style.set_caption('Table 7: Partial texture features identified in 1984')" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "scrolled": true }, "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", "
Table 8: Partial texture features identified in 2019
LBP0 LBP1 LBP2 LBP3 LBP4 LBP5 LBP6 LBP7 LBP8 LBP9
Name
Baoshan0.0430590.0477400.0407680.0586170.0680750.0568090.0374100.0455650.5241890.077767
Changning0.0426410.0501180.0376680.0513700.0584220.0615280.0352350.0470820.5394520.076482
Chongming0.0254680.0296370.0233320.0352170.0476210.0364120.0235900.0286500.7044240.045649
Fengxian0.0512060.0610500.0528820.0814100.0971570.0792330.0515210.0604370.3699310.095174
Hongkou0.0470320.0541720.0429400.0543920.0550140.0680510.0387890.0489370.5073200.083353
" ], "text/plain": [ "" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#The histogram features are the texture features\n", "texture_new_var = pd.DataFrame([hist_features_new[a] for a in range(len(rgb_new))])\n", "texture_new_var.columns = ['LBP'+ str(i) for i in range(n_bins)]\n", "texture_new_var = texture_new_var.set_index(poly.Name)\n", "#Have a look at the table with texture features of administrative division of Shanghai in 2019\n", "texture_new_var.head().style.set_caption('Table 8: Partial texture features identified in 2019')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "### Vegetation and built-up features\n", "\n", "Vegetation features and built-up features can be measured by calculating fundamental NDVI and NDBI indices in each administrative area respectively. The Normalized Difference Vegetation Index (NDVI) is a normalized index, using Red and NIR bands to display the amount of vegetation (NASA, 2000). The use of NDVI maximizes the reflectance properties of vegetation by minimizing NIR and maximizing the reflectance in the red wavelength. The measure is used to distinguish vegetation in regions, as more vegetation will affect the ratio of visible light absorbed and near-infrared light reflected. The formula is as follows:\n", "\n", " NDVI = (NIR - Red)/(NIR + Red)\n", "The output value of this index is between -1.0 and 1.0. Close to 0 represents no vegetation, close to 1 indicates the highest possible density of green leaves, and close to -1 indicates water bodies. \n", "\n", "The Normalized Difference Built-up Index (NDBI) uses the NIR and SWIR bands to highlight artificially constructed areas (built-up areas) where there is a typically a higher reflectance in the shortwave infrared region than the near infrared region (Zha et al., 2003). The index is a ratio type that reduces the effects of differences in terrain illumination and atmospheric effects. The formula is as follows:\n", "\n", " NDBI = (SWIR - NIR) / (SWIR + NIR)\n", "Also, the output value of this index is between -1 to 1. Higher values represent built-up areas whereas negative values represent water bodies.\n", "\n", "After calculating these two indices, vegetation features and built-up features can be measured by calculating average values of index values within each administrative area." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Vegetation features" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#identify red and NIR band to each neighbourhood unit in 1984\n", "red_old, nir_old = img_old[2],img_old[3]\n", "# Calculate ndvi, assign 0 to nodata pixels\n", "ndvi_old = [np.where((nir_old[i] + red_old[i])==0, 0, \n", " (nir_old[i]-red_old[i])/(nir_old[i] + red_old[i])) \n", " for i in range(len(poly))]" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#identify red and NIR band to each neighbourhood unit in 1984\n", "red_new, nir_new = img_new[2],img_new[3]\n", "# Calculate ndvi, assign 0 to nodata pixels\n", "ndvi_new = list(map(lambda i: np.where((nir_new[i] + red_new[i])==0, 0, \n", " (nir_new[i]-red_new[i])/(nir_new[i] + red_new[i])), \n", " list(range(len(poly)))\n", " ))" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "scrolled": true }, "outputs": [], "source": [ "veg_old_var = pd.DataFrame([np.mean(ndvi_old[i]) for i in range(len(poly))], \n", " index = poly.Name, columns = ['veg_mean'])" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "scrolled": true }, "outputs": [], "source": [ "veg_new_var = pd.DataFrame([np.mean(ndvi_new[i]) for i in range(len(poly))], \n", " index = poly.Name, columns = ['veg_mean'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Built-up features" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#identify red and NIR band to each neighbourhood unit in 1984\n", "nir_old, swir_old = img_old[3],img_old[4]\n", "# Calculate ndvi, assign 0 to nodata pixels\n", "ndbi_old = [np.where((nir_old[i] + swir_old[i])==0., 0, \n", " (swir_old[i] - nir_old[i])/(nir_old[i] + swir_old[i])) \n", " for i in range(len(poly))]" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#identify red and NIR band to each neighbourhood unit in 1984\n", "nir_new, swir_new = img_new[3],img_new[4]\n", "# Calculate ndvi, assign 0 to nodata pixels\n", "ndbi_new = list(map(lambda i: np.where((nir_new[i] + swir_new[i])==0., 0, \n", " (swir_new[i] - nir_new[i])/(nir_new[i] + swir_new[i])), \n", " list(range(len(poly)))\n", " ))" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "scrolled": true }, "outputs": [], "source": [ "builtup_old_var = pd.DataFrame([np.mean(ndbi_old[i]) for i in range(len(poly))], \n", " index = poly.Name, columns = ['builtup_mean'])" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "scrolled": true }, "outputs": [], "source": [ "builtup_new_var = pd.DataFrame([np.mean(ndbi_new[i]) for i in range(len(poly))], \n", " index = poly.Name, columns = ['builtup_mean'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Table 9 and 10 we created as shown below contain both vegetation features (NDVI) and built-up features (NDBI), with the mean value of vegetation features and builtup features (two columns) calculated at each administrative division (row)." ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "scrolled": true }, "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", "
Table 9: Partial vegetation and built-up features identified in 1984
veg_mean builtup_mean
Name
Baoshan-0.0022180.000611
Changning-0.0021470.000582
Chongming-0.0008050.000190
Fengxian-0.0072010.001499
Hongkou-0.004648-0.000313
" ], "text/plain": [ "" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "veg_built_old = pd.concat([veg_old_var,builtup_old_var], axis = 1)\n", "veg_built_old.head().style.set_caption('Table 9: Partial vegetation and built-up features identified in 1984')" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "scrolled": true }, "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", "
Table 10: Partial vegetation and built-up features identified in 2019
veg_mean builtup_mean
Name
Baoshan-0.0018010.001938
Changning-0.0015150.000774
Chongming-0.0007050.000318
Fengxian-0.008185-0.000408
Hongkou-0.002057-0.000277
" ], "text/plain": [ "" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "veg_built_new = pd.concat([veg_new_var,builtup_new_var], axis = 1)\n", "veg_built_new.head().style.set_caption('Table 10: Partial vegetation and built-up features identified in 2019')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature clustering\n", "\n", "Now we have four types of features: colour, texture, vegetation and built-up area for Shanghai in 1984 and 2019. These features are the embodiment of urban changes and vary greatly due to rapid urbanisation and development. Therefore, the subsequent task is to identify systematic patterns from these integrated features for analysis of urban changes, such as whether several administrative areas share similar patterns. A clustering method is required within this context to group these geographical divisions that are similar within each other but different between them. Considering the ease of computation and fast implementation, we use generalised and \n", "the most popular k-means clustering to identify representative types of neighbourhoods based on multiple features. K-means clustering partitions the data by creating k groups of equal variance, minimising the within-cluster sum of squares (Pedregosa et al., 2011). We can perform K-means using the package [scikit-learn](https://scikit-learn.org/stable/modules/preprocessing.html#standardization-or-mean-removal-and-variance-scaling), which is a powerful machine learning package for Python." ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "scrolled": true }, "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", "
Table 11: Four types of features (21 in total) identified in 1984
h_mean s_mean v_mean h_std s_std v_std h_skew s_skew v_skew LBP0 LBP1 LBP2 LBP3 LBP4 LBP5 LBP6 LBP7 LBP8 LBP9 veg_mean builtup_mean
Name
Baoshan0.2721610.0520810.6441480.3270940.0724570.1853090.3567130.0900570.1994460.0350930.0419600.0407050.0683940.0783890.0674830.0403390.0411010.5200530.066483-0.0022180.000611
Changning0.2214120.0515640.6598940.2883680.0751770.1744550.3308030.0925040.1876270.0360860.0460780.0419560.0597920.0600400.0644220.0375380.0433850.5394160.071285-0.0021470.000582
Chongming0.1538070.0173940.7423090.2721620.0356270.1023470.3329160.0511840.1206030.0258220.0299460.0217570.0340580.0395800.0367870.0240350.0291580.7094440.049413-0.0008050.000190
Fengxian0.3396130.1129150.6057580.3219410.1228050.2436210.3472260.1443920.2576700.0555080.0664680.0512300.0720020.0737670.0739280.0529070.0650990.3821100.106981-0.0072010.001499
Hongkou0.2495260.0637040.6507250.3098250.0874390.1878050.3479680.1061940.2001310.0420180.0505620.0435420.0593260.0567590.0707180.0396910.0464900.5104290.080465-0.004648-0.000313
" ], "text/plain": [ "" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#merge all features together\n", "features_old_var = pd.concat([color_old_var,texture_old_var,veg_old_var, builtup_old_var], axis = 1)\n", "features_old_var.head().style.set_caption('Table 11: Four types of features (21 in total) identified in 1984')" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "scrolled": true }, "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", "
Table 12: Four types of features (21 in total) identified in 2019
h_mean s_mean v_mean h_std s_std v_std h_skew s_skew v_skew LBP0 LBP1 LBP2 LBP3 LBP4 LBP5 LBP6 LBP7 LBP8 LBP9 veg_mean builtup_mean
Name
Baoshan0.2310700.0358650.6389410.2978470.0520480.1801890.3367790.0678660.1955910.0430590.0477400.0407680.0586170.0680750.0568090.0374100.0455650.5241890.077767-0.0018010.001938
Changning0.2318490.0312940.6492370.3046890.0484710.1670020.3443940.0629740.1824830.0426410.0501180.0376680.0513700.0584220.0615280.0352350.0470820.5394520.076482-0.0015150.000774
Chongming0.1573060.0164730.7424020.2824950.0318430.1017710.3452890.0433600.1198000.0254680.0296370.0233320.0352170.0476210.0364120.0235900.0286500.7044240.045649-0.0007050.000318
Fengxian0.2955390.0861970.6054310.3027310.0976950.2435960.3293880.1157020.2572340.0512060.0610500.0528820.0814100.0971570.0792330.0515210.0604370.3699310.095174-0.008185-0.000408
Hongkou0.2399440.0375820.6386130.3038300.0550470.1829380.3396150.0705520.1976240.0470320.0541720.0429400.0543920.0550140.0680510.0387890.0489370.5073200.083353-0.002057-0.000277
" ], "text/plain": [ "" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#merge all features together\n", "features_new_var = pd.concat([color_new_var,texture_new_var,veg_new_var, builtup_new_var], axis=1)\n", "features_new_var.head().style.set_caption('Table 12: Four types of features (21 in total) identified in 2019')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above Table 11 and 12 reveal the integrated 21 features across our four sets of image features and their differences at geographical division in magnitude between 1984 and 2019. Since k-means clustering is one of the machine learning algorithms, which generally expect data transformation for preprocessing before fitting the algorithm. We therefore use one of the most popular rescale methods to standadise these features to lie between 0 and 1 based on MinMaxScaler() function in scikit-learn package. The motivation of this method relies on the robustness to very small standard deviation. This preprocess ensures individual features of dataset have the same scale that standard normally distributed. " ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Last preprocessing step before machine learning: data rescaling \n", "min_max_scaler = preprocessing.MinMaxScaler()\n", "np_scaled = min_max_scaler.fit_transform(features_old_var)\n", "oldvar_scale = pd.DataFrame(np_scaled)\n", "oldvar_scale.columns = features_old_var.columns" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "scrolled": true }, "outputs": [], "source": [ "min_max_scaler = preprocessing.MinMaxScaler()\n", "np_scaled = min_max_scaler.fit_transform(features_new_var)\n", "newvar_scale = pd.DataFrame(np_scaled)\n", "newvar_scale.columns = features_new_var.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Above two steps are the results of data transformation in 1984 and 2019. To identify robust and consistent clustering results, we merge them into a single one based on their common geographical units (see Table 13). The column names ended with '_x' and '_y' represent features extracted in 1984 and 2019, respectively. This table is the one prepared for the final k-mean clustering analysis. The dominant parameter in k-means clustering is the number of clusters (i.e., k), determining the optimal numbers of clusters is therefore a fundamental issue. We select a direct and popular elbow method as an example to assess the resulting partitions, testing nine different solutions varying k from 2 to 10. Basically, the idea of elbow method is to define clusters to minimise the total intra-cluster variation or total within-cluster sum of square (WSS). The optimal number can be determined by plotting the curve of WSS according to different k clusters and the location of a bend is considered as an indicator of the appropriate number for k." ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "scrolled": true }, "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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Table 13: Integrated preprocessed features identified in 1984 and 2019 seperately
h_mean_x s_mean_x v_mean_x h_std_x s_std_x v_std_x h_skew_x s_skew_x v_skew_x LBP0_x LBP1_x LBP2_x LBP3_x LBP4_x LBP5_x LBP6_x LBP7_x LBP8_x LBP9_x veg_mean_x builtup_mean_x h_mean_y s_mean_y v_mean_y h_std_y s_std_y v_std_y h_skew_y s_skew_y v_skew_y LBP0_y LBP1_y LBP2_y LBP3_y LBP4_y LBP5_y LBP6_y LBP7_y LBP8_y LBP9_y veg_mean_y builtup_mean_y
00.6369750.3596940.2811441.0000000.4224650.5801211.0000000.4170530.5681980.2860430.3289430.5884940.7175230.8378530.6130550.5647160.3322980.7149370.0328290.6476520.7669950.4421950.2781230.3010610.4631230.3082210.5475310.5049420.3387470.5418370.5262210.4722740.5481420.5065610.4105010.4062200.4948010.4994870.7268660.0608480.8564511.000000
10.3638430.3543340.3964500.2950180.4536640.5042200.0000000.4433050.4830280.3166770.4417160.6273460.5377720.4417100.5519330.4677070.3958500.7440820.0420630.6548990.7644800.4468600.2125600.3706160.6596030.2540020.4554580.7737710.2711260.4481290.5138940.5343120.4506860.3496860.2167670.5002090.4169260.5442910.7499950.0584150.8938500.699181
20.0000000.0000001.0000000.0000000.0000000.0000000.0815470.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000000.7909410.7300850.0000000.0000001.0000000.0223070.0020060.0000000.8053380.0000000.0000000.0074230.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000001.0000000.581435
31.0000000.9905300.0000000.9061831.0000000.9878720.6338601.0000000.9878060.9159231.0000000.9153970.7929210.7380520.7417841.0000001.0000000.5073100.1107120.1422430.8448840.8286671.0000000.0746770.6033701.0000000.9902520.2440561.0000000.9825330.7664920.8195000.9289361.0000000.9941410.8528111.0000000.9386290.4930970.0938270.0202740.393903
40.5151530.4802260.3293020.6856310.5943290.5975720.6624800.5901830.5731370.4997040.5644670.6766010.5280340.3708710.6776690.5422700.4822370.7004510.0597180.4012000.6860440.4953920.3027550.2988420.6349130.3536660.5667280.6050830.3758800.5563740.6433830.6400620.6164120.4151110.1483740.6301010.5441530.5990540.7013020.0714320.8228440.427538
" ], "text/plain": [ "" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "merged_var = pd.merge(oldvar_scale, newvar_scale, left_index = True, right_index = True)\n", "merged_var.head().style.set_caption('Table 13: Integrated preprocessed features identified in 1984 and 2019 seperately')" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#elbow analysis\n", "cluster_range = range( 2, 11 )\n", "cluster_errors = []\n", "\n", "for num_clusters in cluster_range:\n", " clusters = KMeans( num_clusters )\n", " clusters.fit( merged_var)\n", " cluster_errors.append( clusters.inertia_ )\n", "clusters_df = pd.DataFrame( { \"num_clusters\":cluster_range, \"cluster_errors\": cluster_errors } )\n", "plt.figure(figsize=(12,6))\n", "plt.title('Fig.6: Elbow method to determine the optimal k for k-mean clustering',y=-0.2)\n", "plt.plot( clusters_df.num_clusters, clusters_df.cluster_errors, marker = \"o\" )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 6 indicates that 2 and 6 (i.e. knee in the plot) can be the optimal numbers of k clusters for the features extracted from both years of satellite imagery. Considering the context of the paper, the number of 6 is finally assigned to k to fit the kmeans clustering model, varying labels are subsequently matched to features dataset. " ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "scrolled": true }, "outputs": [], "source": [ "np.random.seed(0)\n", "k = 6\n", "\n", "cls = pd.Series(KMeans(n_clusters=k, max_iter = 1000, n_init = 1000, random_state = 24).fit_predict(merged_var))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After implementing k-means clustering on our constructed dataset, the label of each cluster is assigned to the last columns of data for further interpretation (as shown below Table 14)." ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "scrolled": true }, "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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Table 14: Assign cluster number to each administrative area
h_mean_x s_mean_x v_mean_x h_std_x s_std_x v_std_x h_skew_x s_skew_x v_skew_x LBP0_x LBP1_x LBP2_x LBP3_x LBP4_x LBP5_x LBP6_x LBP7_x LBP8_x LBP9_x veg_mean_x builtup_mean_x h_mean_y s_mean_y v_mean_y h_std_y s_std_y v_std_y h_skew_y s_skew_y v_skew_y LBP0_y LBP1_y LBP2_y LBP3_y LBP4_y LBP5_y LBP6_y LBP7_y LBP8_y LBP9_y veg_mean_y builtup_mean_y lbls
Name
Baoshan0.6369750.3596940.2811441.0000000.4224650.5801211.0000000.4170530.5681980.2860430.3289430.5884940.7175230.8378530.6130550.5647160.3322980.7149370.0328290.6476520.7669950.4421950.2781230.3010610.4631230.3082210.5475310.5049420.3387470.5418370.5262210.4722740.5481420.5065610.4105010.4062200.4948010.4994870.7268660.0608480.8564511.0000001
Changning0.3638430.3543340.3964500.2950180.4536640.5042200.0000000.4433050.4830280.3166770.4417160.6273460.5377720.4417100.5519330.4677070.3958500.7440820.0420630.6548990.7644800.4468600.2125600.3706160.6596030.2540020.4554580.7737710.2711260.4481290.5138940.5343120.4506860.3496860.2167670.5002090.4169260.5442910.7499950.0584150.8938500.6991811
Chongming0.0000000.0000001.0000000.0000000.0000000.0000000.0815470.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000000.7909410.7300850.0000000.0000001.0000000.0223070.0020060.0000000.8053380.0000000.0000000.0074230.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000001.0000000.5814352
Fengxian1.0000000.9905300.0000000.9061831.0000000.9878720.6338601.0000000.9878060.9159231.0000000.9153970.7929210.7380520.7417841.0000001.0000000.5073100.1107120.1422430.8448840.8286671.0000000.0746770.6033701.0000000.9902520.2440561.0000000.9825330.7664920.8195000.9289361.0000000.9941410.8528111.0000000.9386290.4930970.0938270.0202740.3939033
Hongkou0.5151530.4802260.3293020.6856310.5943290.5975720.6624800.5901830.5731370.4997040.5644670.6766010.5280340.3708710.6776690.5422700.4822370.7004510.0597180.4012000.6860440.4953920.3027550.2988420.6349130.3536660.5667280.6050830.3758800.5563740.6433830.6400620.6164120.4151110.1483740.6301010.5441530.5990540.7013020.0714320.8228440.4275381
" ], "text/plain": [ "" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Assign the each cluster number to the merged data\n", "merged_var = merged_var.assign(lbls=cls)\n", "merged_var.index = features_old_var.index\n", "#last columns represent class labels\n", "merged_var.head().style.set_caption('Table 14: Assign cluster number to each administrative area')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Interpretation\n", "To understand the analysis result, the mean of each feature across each cluster can be calculated to uncover the feature differences among clusters. A categorical barplot shown below presents how the average of all features changed between 1984 and 2019. Besides, a choropleth map is created to visualise the spatial distribution of categories/clusters by varying colours. " ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "scrolled": true }, "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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Table 15: Mean values of each feature at each cluster for different years
h_mean_x s_mean_x v_mean_x h_std_x s_std_x v_std_x h_skew_x s_skew_x v_skew_x LBP0_x LBP1_x LBP2_x LBP3_x LBP4_x LBP5_x LBP6_x LBP7_x LBP8_x LBP9_x veg_mean_x builtup_mean_x h_mean_y s_mean_y v_mean_y h_std_y s_std_y v_std_y h_skew_y s_skew_y v_skew_y LBP0_y LBP1_y LBP2_y LBP3_y LBP4_y LBP5_y LBP6_y LBP7_y LBP8_y LBP9_y veg_mean_y builtup_mean_y
lbls
00.8038630.7491950.1461090.8950680.7499070.8343300.6333220.7202490.8230050.4543890.5659460.8215280.9732200.9491410.7141880.7670250.5674150.6036710.0627570.3364760.9640210.6214230.5829890.1253780.6211450.6217500.7810630.4669750.6291420.7688360.5597140.5852060.7609550.8414920.8381570.7228300.7940930.6521720.6003500.0704010.7140160.835832
10.4261950.3816640.3849550.5434940.4816860.5234860.4506010.4785860.5041490.3828490.4445430.5745450.5107950.4086130.4913680.4801690.4159240.7475330.0457840.5793250.7827320.4004590.2335620.3707460.4493250.2792100.4797260.5206100.3006710.4707660.4659580.4512770.5103480.4469130.3090600.4705140.4662780.4662820.7487820.0534430.8520350.622854
20.1130970.0884700.8373050.2109390.1184780.1271510.3165060.1075340.1244690.0703010.0898500.1626240.1399450.0893170.1147260.1400340.0830180.9410700.0091370.7393260.7684740.0817340.0428010.8355230.1440220.0623260.1142560.7573320.0771960.1142180.0506000.0541940.1403840.1720600.1584860.1478850.1153390.0542150.9396420.0066190.9594210.572280
30.9498560.9952650.0045590.8764150.9910480.9939360.6763870.9756880.9939030.8827170.9575620.9576990.8738670.7982400.8708920.9965160.9437070.4956010.1069460.0711210.8086800.9143330.8493610.0877640.5399090.8452320.9951260.1220280.8706990.9912660.8832460.9097500.9644680.9404700.8086560.8634040.9875730.9693150.4880890.1042920.0101370.196952
40.7214780.9794750.1140170.5675280.9987620.9336190.2445570.9717960.9257911.0000000.9902730.8457260.6686710.4076050.8470490.8199120.9617130.5384420.1140711.0000000.0000000.8834710.5292150.0000001.0000000.5468320.8717790.6984880.5759030.8669170.9812850.9055750.9075570.6608400.4870151.0000000.9500330.9130270.5214290.1074850.7133090.986139
50.4717190.4276220.3733580.6347730.5542070.5590620.5543910.5604260.5345550.4262120.5026540.6477520.5161260.3453740.2997680.5281650.5680060.0000001.0000000.5494890.7339770.4288160.2079320.3293580.4359170.2467780.5057670.4097550.2809300.4992050.6216260.5256590.5701890.4165720.1160720.2213240.4458420.7183600.0000001.0000000.8951120.568988
" ], "text/plain": [ "" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#calculate the mean of features for each class \n", "k6_mean = merged_var.groupby('lbls').mean()\n", "k6_mean.style.set_caption('Table 15: Mean values of each feature at each cluster for different years')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above Table 15 displays the mean values of all features in two years at varying groups. For more interpretability, a few data munging steps are required to generate visual representations. " ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "lbls \n", "0 h_mean_x 0.803863\n", " s_mean_x 0.749195\n", " v_mean_x 0.146109\n", " h_std_x 0.895068\n", " s_std_x 0.749907\n", "dtype: float64" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Rearrange our data in a way that every row is one feature in a class \n", "k6_mean = k6_mean.stack()\n", "k6_mean.head()" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#convert multi-indices into single index\n", "k6_mean = k6_mean.reset_index()\n", "#renmae the columns\n", "k6_mean = k6_mean.rename(columns = {'lbls': 'Class','level_1': 'Features', 0: 'Values'})\n", "#rename feature names in Feature column\n", "old = k6_mean.loc[k6_mean['Features'].str.contains('x') == True, :]\n", "new = k6_mean.loc[k6_mean['Features'].str.contains('y') == True, :]\n", "#add a new column to represent time\n", "old = old.assign(Time = 1984)\n", "new = new.assign(Time = 2019)\n", "#remove '_x' and '_y' in the table to make feature names for both years are the same\n", "old['Features'] = old['Features'].str.replace('_x', '')\n", "new['Features'] = new['Features'].str.replace('_y', '')" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "scrolled": true }, "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", "
Table 16: Tidy table represents mean values of features for each cluster at different years
Class Features Values Time
00h_mean0.8038631984
10s_mean0.7491951984
20v_mean0.1461091984
30h_std0.8950681984
40s_std0.7499071984
" ], "text/plain": [ "" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#create a new dataframe to store the mean of each feature each cluster with time\n", "data = pd.concat([old,new])\n", "data.head().style.set_caption('Table 16: Tidy table represents mean values of features for each cluster at different years')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above Table 16 reveals different categorical information, with each row represents the number of class, the feature name, the mean value of the feature and the year when the feature is extracted. We can then visualise this table in the following barplot to understand the pattern from image features." ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, -0.1, 'Fig.7: Visual representation of patterns extracted from k-mean clustering')" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#visualise the distribution of mean values by features, class and time\n", "g = sns.catplot( data = data, x = 'Features', y = 'Values',row = 'Class', hue = 'Time',kind = 'bar',\\\n", " aspect = 5, height = 3, palette = 'Accent')\n", "g.fig.suptitle('Fig.7: Visual representation of patterns extracted from k-mean clustering', y = -0.1, fontsize = 18)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "(290053.0696196473, 407301.6741094636, 3389866.639388826, 3533566.430983904)" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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3MJos+GKRSnS321wsUokSw6Q6Hrftz60URSFnZ2caIYRMJhO2WCwYY9zecv88ZofuDYCd4nBYcf37h7zx3nvTXJ95ZrgCwo59iojw0v/ww/1lTz45dFBsrM8KjHEA0zUB0BPkK5oEt17Guh2LlVD5lRp+e89hsVhQZGRktEwm6zV48ODmoUOHtnt0ByEIPKCHudE5efyECfHPffvtfc3jxsXVM10T6Bg+n0O/8MKoik8+mSkaNizydWdnwVCMMTy3AdCF9EbLPf2N6QwWVnvPwWazUV5eXm5FRcWVixcvOp0/f77d4QkhCDygB8EYO8nl7o/Pm9d35vff36+IifHp0LsFYFuGD49q+OWXB+rmzeu7UC53fxJj3KGNBgEAdybks+9p82QnAbvDKyqlUql1wIABLTt37uzQ3zQEHtAjYIx9YmJ8Xn3mmeEJH300vdTNzQm2iXBAvr4uratWzSpdvnxMbEqK/F0nJ14axrjd7zABALcX4e9sYLPwXUMPm4XpCD8XY3uOX11dzVapVCyEENJqtfjYsWOSqKiodh3rr3o6cmcA7IFAwE0YMCD0sVdeGWsaNSoG9m9ycGw2izz88MCq9PRw4apVRx85dOj6cIzxr4SQUqZrA8BR8Llskhgq1d5uldZNiaFSbXsmLCOEkEKh4CxcuDDIarUiQgieNGlS45w5czrUhBT68ACHhTFmeXiIJw0aFDb5nXcm1UJ/nZ6Hpml08OB16eefHxNdvFhxtLpasw06NwNwd7bQh+deQB8eANCfm38GBUkXTZnSO/HVV8fBTuc9FEVRaNSoGNXAgWGNP/98ZuBvv2WkisX8DVpt6ylCCPxOANBB/WJk2sQwqS6/UsPXGSwsJwHbGuHnYmzvyE5XgsADHJKvr8uExx4blPDssyNKYPNPIBRy6ccfT68cOzaWv2rV0YX7918beuMyVxHTtQFg73hcFokPdrf5HljwSgAcDsYYe3iIU2bMSKqBsANuJZdLjR9/PKNs9erZrlOm9H41MND9IYyxK9N1AQC6HozwAEfkFRjo5iyXSyuYLgTYpqFDIxv69w9Rr1lzrt/PP59JcXYW/NHcbDxBCIGtRQBwUPD2FzgiiVQq6lgPcuDw+HwOvWjRgMp16x5ufOyxwfNjY33e5HLZkR3uXw8AsEkQeIAjKr50SaFTKNQ8pgsBts/f37V15cqpZV99NU84eXLv/wQGui3GGLszXRcA9sLaqsdN+eeEDZcPi5ryzwmtrXqbfNMAl7SAwyGEWLy8nI/u339tzKJFAyqZrgfYhwEDQtUpKXLN2rWZST/+eCbJzc1pnVqtPwq7sANwZw2XD4s018+KiMX01wCK6tJBiUtUP617r2EdWpZusVhQXFxctJeXl+no0aMdXmAAIzzAIdXVNZ/dtCmLqq9v4TBdC7AfXC6bLFzYv2rDhoeVU6b0XujlJZmLMYY3hgDcRsPlwyJ1znHJrWEHIYSIxUSpc45LGi4fvutu6v/m7bffloWGhnba6i8IPMAhEUKqMzPLNr711m5/i8Vqk8OrwHZ5ezubVq+eU7ZgQb+Rcrn7ExhjAdM1AWBLrK16rLl+9q6BRnP9rMhqMrbr+be4uJizf/9+54cffvieGiDeCwg8wGGp1fr9u3Zdyfr++9M+TNcC7I9QyKXffXdy6ZNPDo2PjPR6EZavA/D/tGU5gn+O7PwTsZgobdmVdu1w/sQTT/i///77lZ3ZWgQCD3BYhBC6rKzhx6+/Pt586lQRvFiBNqMoCj3zzHDFihXjvHr39l+BMfZjuiYAbIHFqL2n/GAxtLR5895169Y5S6VSy8CBAzt1OyAIPMChEUJaLl+u/PzNN3dJqqo0sGoLtMucOSm1H300nZ2WFrKCw2FFM10PAExj80V33Sn9r9sJxNa2HvvUqVOigwcPuvj6+sYtXLgwOCMjQzxp0qSgtlf5dxB4gMMjhJSeO1f66xtv7PQ1mSwwnwe0y9ChkQ1ffjm3ecSI6BfEYv5A6NcDejKRPM6A2dy7hh7M5tIiebyxrcf+4osvqurq6q5UVVXl/PzzzyWpqakt27dvL21/tX+CwAN6hOZm47H9+3NPf/75MbgkAdotPt5P+80399VMnNjrYQ8P8RSMMTyHgh6JxRMSl6h+d1127hLVT8vi8m2mrQP8sYIegRBCKioaf/vpp9P1Bw/mSpmuB9gvf3/X1q++mls+a1byZD8/10UYYy7TNQHABPdew7SucYOb/znSg9lc2jVucHNH+/AghND48eNbOqMHD0LQeBD0IIQQPcb4i3fe2ft6WJgnXy6XtnmoFQCEEJJIBNaPPppe6ukp7v/rrxluGOMvCCEtTNcFQHdz7zVM6xKVptOWXeFbDC0stkBsFcnjjbY0snMTjPCAHoUQUnn+fNkPK1bs9DEazfD7D9qNy2WTl18eU/bCCyNDYmN9XsEYy5iuCQAmsLh84hyeYnDvNUzrHJ5isMWwgxAEHtAD6fWmjMOH8w5//PFBmM8DOoSiKPTwwwOrVq6cKk5Jka/g8dghTNcEALg9CDygxyGEkOpqzfrffjun2L79sifT9QD7N25cXP1nn80yDRwYtpzP5yQxXQ8A4H9B4AE9EiGkNS+v9ssPPtjPun69xonpeoD9S00Nbvr663mqsWPjnnJ3dxoNy9YBsC0QeECPRQipy8qq+Pr113fJtFpjm7uBAvBPoaGehq+/nlc5ZUrCXG9v5/tg41HQE5hMJlxUVCS8evWqqKioSGgymWwy7MMfI+jRDAbTJW9v590rV+4b8+abE8s6c98W0DN5eorNq1bNLvPw2D18w4YL7hjjbwkhndoiHwBbcfXqVVFBQYHIYrH89eR55coVSXh4uDY2NrZDy9J9fX3jnJycrBRFITabTa5evXq9I8eDwAN6vNra5i1//JEVGhvr6z97dp9apusB9k8o5NLvvDOp1MtLEvf11ydexBh/RghpZLouADrT1atXRbm5uZJ/ft5isVA3P9/R0HP8+PECb29vS0eOcRO8nQU9HiHEXFhY//UnnxyyZmcrxEzXAxwDRVFo6dJhitdeGy9LSPB/FWPsz3RNAHQWk8mECwoKRHe7TUFBgciWLm9B4AEAIUQIabh4seKL11/fKW1s1MHIJ+g0s2f3qf3ooxmsgQNDX+FwWDFM1wNAZ6ioqBDcehnrdiwWC1VRUcHvyHmGDRsWFhMTE/Xhhx92uEM+BB4AbjCbrblnzhRvfuedPQE0fU8bAQNwT4YMiWj88su5LSNHRj8nFvPTYQUXsHdGo/Ge8oPR2P4FIadPn87Lzc29fuDAgcLvvvvOc+/evXcdUfo3EHgAuIVSqd29bVv25V9+OevLdC3AscTG+mq//XZ+7fTpSQ/6+DjfD3twAXvG5/Pv6V0hn8+3tvcccrncjBBCvr6+lnHjxmnOnj3boRYiEHgAuAUhxFpSovr+88+P6TIySpyZrgc4Fl9fl9avvppb9uijg4eEh3u+gDF2Z7omANojICDAwGaz7xp62Gw2HRAQ0K49C5ubmym1Wk3d/P+jR49K4uPjDe051k0QeAD4B0JIU05O1edvvrnbta6uGd6Fg07F53Pol18eU/bGGxP9kpMDX+dy2eFM1wRAW3G5XBIeHn7XFVjh4eFaLpfbrn21Kisr2ampqZERERHRiYmJUSNHjtRMnz69uX3V/gkmZwJwGyaTpcjVVbj2jTd23bdq1axSNptlk5vhAftEURSaPbtPbWioh2TFip3LnZ0FvzY3G48SQuD3DNiNm0vO/9mHh81m0x3twxMdHW3Kz8/P7Yw6/6qrMw8GgCPRaAyH9uzJCY+O9k5YsmSIgul6gONJTpY3//DD/cZXX92+cP/+3CCM8RpCSCvTdQFwr2JjY7Xh4eG6iooKvtFoZPH5fGtAQICxvSM7XQkCDwB3QAihMcY/f/fdycC4OF+3wYPDoXEc6HTe3s6mL7+cW/rRRwcH/Pprhj/G+HNCiIrpugC4V1wul4SGhnZofk13gDk8ANwFIUR75UrV52+9tVtUVFQvYLoe4Ji4XDb5z3/GlL/11kSvlBT5G1wuO5LpmgBwNBB4APgXhJDyc+dKv3j00d89MjNLYeUW6DLTpyfVfv31POPIkdEvuboKR0C/HsAQmqZpm/7du1FfmxqmQeAB4B60tBizTp4sfOfJJ9dzd+684sl0PcBxJSQEtPzww/3Vs2Ylz/fzc30YY9yhTrUAtMNVpVLpbKuhh6ZprFQqnRFCV9tyPwyLAgC4dxhjWWyszzNLlgxxX7CgXzWfz4GWzKBLmEwW/NlnR/x/+ul01fXrtasJIfVM1wR6hqysLE82m/09QigW2ebACI0QumqxWBYlJSXd898FBB4A2ghjLA4Kks6Xy92TR4+OQWPHxjbGxvp2aEdgAO5k27Zsz/fe24cvXCj/3Gy2XmO6HgDsFQQeANoJY+wqkfAT5XL3UTExPh7jxsWZR42KUUqlIjPTtQHHcuVKpejVV7d7nDxZtF6t1u8nhMDIIgBtBIEHgA66MbE0yN/fNc3Hx2VAeno4d+rUBE1KSlAT07UBx6FSaTmvv77Tf+fOK2crKhp/IYToma4JAHsCgQeAToQxFrBYVGy/fsGPbNq0WCmTSUxM1wQch8VixatWHfX78cdTtdeu1awmhNQyXRMA9sIWJyMBYLcIIQaLxXo+P79255o157yYrgc4FjabRZ55ZrjivfemufbvH/IGh8OKY7omAOwFBB4AuoBSqT26efNFM2w+CrrCuHFx9d9+e1/z+PHxz0mlovEYY3guB+BfwB8JAF2AENJSWFi/5/ffM2VM1wIcU0yMj+6HH+5XzJvXd4Zc7v44xtiJ6ZoAsGUQeADoIiqV9tLZs8WwXx3oMm5uTpaPPppe9swzwxNiYnxexRj7MF0TALYKAg8AXaeyqEhZd+FCmYTpQoDjYrNZ5Mknhyo+/HCaeMCA0NcFAm4C0zUBYIsg8ADQRQgh9NWrVWtWrToitVisNtmiHTiO0aNjld9+e1/TuHGxT3t4iCdjjFlM1wSALYHAA0AXsljonNOniy99881Jf5qGXnGga0VFeeu+//5+xfz5facEBUmXYIxFTNcEgK2APjwAdDGMsXNQkPSBUaOiE//znzHVAQFuRqZrAo6Npmn09dcn/L7++kRjTk7VKkJIJdM1AcA0CDwAdAOMMSUS8QYmJQXMX7p0mGXMmNh62HgUdLVDh667v/32HsH582Xf6fWmTAJP+KAHg8ADQDfCGHuHhXnO9vAQxyYm+uO+fYPpQYPCVDDqA7pKSYlS8OqrO7yPHMnbV1vbvIkQAt2/QY8EgQcABmCMBQihIC8vSay/v9vgGTOSBA89lFbt5uZkYbo24Hj0ehP13nv7AtavP19UUFD/FSGkgemaAOhuEHgAYBjG2Ekmk4yOifEe9+CDaZZx4+LqXVyEEHxAp6JpGv3xR5bXxx8fsmZnKz43mSzXma4JgO4EgQcAG4Exlsnl7uNlMknfvn2D2MOGRbaOHBmthLk+oDNdulQhXrFip/T06aINarV+HyEEfr9AjwCBBwAbgzHmIYQiQkI8BgUGuiVOmNALTZwYrwwO9jAwXRtwDCqVlvPGG7v8d+68cr68vOEnQoiW6ZoA6GoQeACwYRhjN1dXYT+53H1UWlqIeOLEXrohQyIa2GwW/OGCDrFYrPjrr0/4ffvtyYacnKrPCSEVTNcEQFeCwAOAHcAYs9lsKiYkxGNkcLBHzPLlY5oGDAhVM10XsH9HjuS5v/32HuG5c6U/6PWms7B0HTgqCDwA2BmMcciQIRHLf/zxfqVcLoXl7KDDyspU/Fdf3eFz+HDewZqapg2wdB04Igg8ANghJydev6lTEx775pv7yoRCLkw6BR2m15uoDz884P/775mlBQV1XxJCVEzXBEBngsADgB3CGGMvL8mcRYsGjHzjjQllFAXb4oHOsWlTltcHHxygL16s+NxstuYyXQ8AnQWeJQGwQ4QQUlvbvHHDhgv5v/+e6cN0PcBxTJ+eVPvNN/cZxo6Ne0kqFY2HXdeBo4ARHgDsGMbYNSkp4I3Vq+fQ/foFa5iuBziOxkYd+403dgXs2HE5q6ys4QdYug7sHQQeAOwcj8cOSU+PeOXHHxfU+vq6tDJdD3AcN3dd/+KLY3W5uTUfw5YUwJ7BJS0A7Fxrq6U4I6PklxUrdviZTBbMdD3AcVAUhR5/PL3ytdfGu/Xq5bccY+zNdE0AtBcEHgAcQHOz8fiBA7nHPvroYADTtQDHM3Nmct3KlVP4KSnylzHGcqbrAaA9IPAA4AAIIaSyUv37zz+fLf3pp9O+TNcDHM/o0bHKjz+eaRk4MGw5l8uOZLoeANoKAg8ADoIQYiwoqPv0o48OqTZvvihjuh7geNLSQjSrVs1qSU8Pf1Eg4CQyXQ8AbQGTlgFwMBhj9169/F5+661J/AkT4uuZrgc4nqKiesGzz270On68cG1Tk+EQIcTKdE0A/BsIPAA4IIyxZ1yc73MvvTTaee7clBqm6wGOp66umfvee/t8d+3KKSgsrP+REAK/Z8CmQeABwEFhjF0iI72WPfnkEN9HHx1UCd2YQWejaRrt2HHF89NPD3MvXapY19xsPAajPcBWQeABwIFhjJ1CQz2ffOCB/hEvvDCygs1mwR886HRVVRreBx8c8NmzJ+d6YWH9T4SQOqZrAuCfIPAA4OAwxjy53P3h2bP79HnttfHlfD4HNhsFnY6mabR1a7bss8+OsC9fVqxtbjYeJ4TA7xqwGRB4AOgBMMZsX1+X+dOmJQ7573+nOOQO60VF9YLnntvUv7RU5cFms6zu7k7aQYPCyk6dKgrct2/pPqbr+/77U4F5ebWuH344PZvpWrqSQqHmvf/+fp99+65eKypS/kQIUTJdEwAIQeABoMfAGFMymWTmxInxY99/f1qFi4vQwnRNnYWmaTRo0IeTRo2KKXj11XHXEULoyJE89x07rgTm5dV42kLg6UlomkYbN170/uyzw+TSJcXXBoMpm+maAIDAA0APgjHGUqlo0tixsdM++mhGhVQqMjNdU2dYv/68z1dfHU86fvy5nbd+fuPGLO8vvjiWLBbzjFVVGle53F21adPiIxRFoXXrMn0//fRwKk0THBzsofzhh/mnRCK+NT7+zTmDB4cXnD9fFmi10tSqVbMP9esXrCkrU/EfeujXYTqdiRcS4qG8cqXSf/fuJ7c0Nuo4Dz74y5jwcFltUVG9LCDArWHGjKT8L788ntzSYuS/++7kI2PHxinff39/+LVr1R6//PLA6Zkzv00XCrmm4mKlR1OTQfjoo4MyHn88vdRiseIHHvgl7fr1Gm+pVNRC0wRPntw77/HH00uZ+t52xLVr1U5vvLFLdvJk4e7a2uYthBCH+H0D9gmWbQDQgxBCiEql3b5rV86aJUvW+VdVaXhM19QZrl2rdgsJ8VDd7muVlWr399+fdiYz8z8b6+tbxNu3X/bSao2sd97Zk7569exD588v32S1Wqn//ndf9M37uLoKjRkZL20ZNy4u97PPDscjhNBrr+1M6t3bvyoj46UtI0dGl2k0BtHN2zc06Jwfe2zw1YyMlzZVVze5bNt2OfT48We3P/FEesbnnx9LuF1djY064dGjz+z48su5+7799mRfhBD69tuT8rq6ZnFGxkubPv98zvGysgbPzv1Oda+YGB/d99/PL3/ooQFjw8M9X8QYS5muCfRcEHgA6GEIIaShQbt/375r3y9Zss6nrEzFZ7qmrhQY6KaMivLWsdksIpe7N5SUqMSZmWUu7u6i5pSUoCaEEJo2LbHg8uVKr5v3mTOnTxlCCPXpI1cplS1ihBDKy6v1mj8/tRghhBYs6KcQCDh/7Uzv6ipsHjw4vJHNZhE/Pxd1375BVRRFoeTkwMaGBq34dnWlp0eUsdksMmBAqFqrbRUghND58+VeQ4dGlrDZLBIa6mkID5dVd9k3pptIJALrm29OKH3rrUl+qalBb3E4rHimawI9EwQeAHoojUZ/4sCB3C8ff3ydV35+rZDpejoiOtpbXVysvO3oAYfD+qsvDItFEauV/tcd5Z2ceNY/b4+J1UoohBC629V/Npv6axI4RVGEz2dbEUIIY4ysVvq2z7M3b/PnscnN/zrkbvcURaGZM5Nrv/tuvm7SpF7PenlJpmOMOUzXBXoWCDwA9GA6Xeu5o0fzP1myZL00O1tx25EIezBrVnKVxWJlvfPOnr82tdy376rHyZOFPre7fUqKXNPQoBNfuFAmQQihrVuzw3r39r9rp+DISFnt779nBiOE0Jo15/wMBnOnXw5MTg6sPXYsP8hiseKSEqWgoKDutvXbq9hYX+2PPy6oePDBtPFhYZ7PYYzdma4J9BxspgsAADDLYDBd5nLZ7z/99IZnV66cSqWmBjcxXVNbURSFfvxxwYEXXtjcv1evN3tzOCyru7uoZdCgsLKCgjqPf95eJOJbX355zPEnnlg34uak5ZdeGnX9bud4/fUJFxct+m1oaurKkOho7xqxmK93cxOaGxt1nTZS8eijg0rPni3x7dt35XSZTNIkl7vXOzsLTJ11fFsgkQisb789qSwuzjfw008Pv8njsT9qbbWUMF0XcHywSgsAgBBCiMdjBycmBj73yCMDOdOmJdRKJALYIuAWWq2RxeWyaS6XTXbsuCx75509A86d+8/mzj6PSqXlSKUis0Kh5o0fv3rK5s2Pbg8N9TR09nlsQUZGifOyZRt5GRkl7xBCqpiuBzg2CDwAgL9gjD19fV1GhYZ6DJ4yJQHPnJlc5+3t7FAjDO2VmVnq/OST64cT8uecnRUrxp0aPTq205vqpad/NMFgMHEtFpqaNSv58gsvjCro7HPYkiNH8tyff36z9eLFinegSSHoShB4AAD/A2PsIpWKBoeEeIwZNy6ON3t2sjIsTKZnui7gmLZvv+z56qvbW3Jyqv5LCNEwXQ9wTBB4AAB3hDEWSiT81NBQz0mzZ/cRP/nkkErYiwt0hTVrznm/886e2ry82g8IIVqm6wGOBwIPAOBfYYwFfn4uswYNCh+6YsW42ogILxjtAZ3uyy+P+X3yyaHioiLlp4QQh5y3BJgDgQcAcE8wxpjHYycmJAQseuqpIXjWrORaioLOFqDz0DSNPv74UMBXXx2/VlKi+pwQ0vrv9wLg3sCydADAPSF/vjvKwhiXq1TaRVlZFZFvvz2pAi5xgc5CURR65pnhFSaTNfa7704+ijH+EvbfAp0FRngAAG2GMWb5+Djf9/DDA4esWDGuDEZ6QGeiaRq98cZu+aZNWWX5+XU7rVY6hxACqwVBh0DgAQC0C8aYGxbm+fzrr08ImDs35a5digFoK5qm0ZkzJa6bN1903rPnallBQd0HhBAd03UB+wVvywAA7UIIMRUW1n/5wQcHDNu3X7brXb2B7aEoCg0YEKqurFQHRkV59fP3d32XzWalYIxF/35vAP4XjPAAADoEYyyLivJaMn9+qt+yZcMVMKcHdKbr12ucNBoDR6ls4WVmlvKOHy8kSmVLTlGR8rTVSpcghBoJvJCBewCBBwDQYRhjvq+vy9yRI6PT33hjYpW/vyusrgFdQq83UadPF7mdPFkkPH++DNXWNjXU17dcqK5uykUIlUIPH3AnEHgAAJ0CY4xFIt7A1NTgha+9Nr5lwIBQNdM1AcdG0zQqLlYKL1wod71woZx14UI51mj0FZWVmqzGRl0+QqicEGJkuk5gGyDwAAA6FcY4qHdv/yVDh0a49ukjtyQlBWhCQjz0sJILdDWLxYpzcqpEly4pXDIzS9GVK1WoudlYWFHRmNXSYixCCCkIIRam6wTMgMADAOh0GGMhQijU19clWioVJXp6iqXJyYEoMTHQnJwcoJbLpfCuG3Q5o9FMZWVVSC5dqpBkZpaR3Nzq1urqphM1NU2ZCKEyQgjMN+tBIPAAALoUxhgjhFwQQkGBgW6xbm5OCbGxPi4TJ/Y2jR4dXS8S8a0Mlwh6iJqaJu7Bg7keBw7ksq9erVYrFOqjjY26iwihapj47Pgg8AAAuhXGmEIIhQQFuaf7+rqmTpgQjxctGlDt5uYElxpAtyksrBMePHjd/cCBXKq0VFVdXKw8otOZyhFCdQghLQQgxwOBBwDAGIyx2MNDPCI+3nf8E0+kmyZN6gX7c4FuRdM0uny5UnzsWIFrbm4NKS1V4cZGnc5kspbX1TUXqVTaSoRQPUKoHiZA2zcIPAAAxmGMfUJDPealp0fEPfPM8LqoKG/oqAsYU1fXzC0srHcqK2twKiqqpwoL6+mysgZKrzc16PWmsupqTYlW26pCCDUihNQIoSZCCFyatXEQeAAANgFjTPF47KS4ON/7778/VfjQQwOqhEIuTCoFNoGmaVRW1iAoLlY6VVaqhZWVGqRQqOmqKjVVX99CLBa6wWSy1KjV+sqamqYChFAJIaSF6brB/4PAAwCwKRhjka+vy9SUFPmwZ54ZoYF+PsDWmUwWXFmp5ldWavgKRaMwO1vBunChHDc26hTV1U1ZKpW2CCHUjBBqQX/OD4L5agyAwAMAsElcLjssIkL24NSpCd5PPDGkytNTbGa6JgDulcVixVevVosuXqxwycmpQvX1LUSl0mKNRk9ZLLTWaqXVZrO1QattValU2nq93nQzEN38aIZl850LAg8AwGZhjLnu7k4je/Xym7pkyRCY1AzsHk3TSKXScerrm3kNDTpuQ4OW29io5ymVLUSp1NJKZQtSqbS4ulrTmJdXt8VksmQRQkxM1+0IIPAAAGwextgnPFx2f2Kif+S0aUmtY8fG1sH8HuDIsrMV4rVrM90OHbreXFBQv02na80ghBiYrsueQeABANiFGw0Mg4ODpSODgqR9Jk3qTaZOTaj39XWBjUqBwyosrBP+/numx+7dOYbiYuUutVp/AjZIbR8IPAAAu4MxdpdKRQOCgqSjhg6NEE6fntiYmBjQDJe7gKOqqGjkr1uX6blt22Xz1atVa7Xa1hPQHLFtIPAAAOwWxpjP5bITwsM9xyckBPguXjxIk5YWomG6LgC6ikKh5q1YscP3wIFrh6urm9YTQmCE8x5B4AEA2D2MMcVmU5GRkV4LJk/uLVuyZEi1TCb520RPvd5EXbxY4RwQ4GYICHCDjrnAbhmNZuqDDw4ErFlzrqSgoO4LQkgD0zXZAwg8AACHgTHmuroKh8XF+U5bvHiQNTDQ3XDlSuXNnbKRyWTFb7wxoXXixF51TNcKQEf98ccF2YcfHrRkZytWm0yWAqbrsXUQeAAADgdj7BEcLJ3J53PECkXjxZaW1mKxmBdy//397lu1alYJzPUBjuLChTLJihU73c6eLVmj0egPw7yeO4PAAwBweBhjVmiox4eLFg2QLlzYX/HPy10A2LOamibua6/t8Nu379pJhUL9G2xyensQeAAAPQLG2EMmkwwKDHQbMWpUDG/mzKSG2FhfWN4LHILJZMGffHIo4Oefz1bk5dV+TghRMl2TrYHAAwDoUTDGAoGA0yciwmvKqFHRrg89lFYfFibTM10XAJ1h69ZLspUr95FLlxSfmEyWQqbrsSUQeAAAPRLGmCsS8fpFRMimT5zYS/TAA2m1/v6usMQX2L0LF8ok//nPNpezZ4u/0mpbzzNdj62AwAMA6NEwxnwXF8Gg8HDZlOnTk3hPPJFeCdtWAHtXUqIUvPDCFu8jR/LWqdX6fTCZGQIPAAAghBDCGIu8vZ2njB4dM/KddyYrvL2dYWIzsGsqlZazfPlW/127cg7W1DStI4RYmK6JSRB4AADgBowxlkj46QMHhi14993Jqvh4P5jUDOya0Wim3nxzV+D69RculZaqviWE9Nj5ahB4AADgHzgcVnSfPvKnVqwYZx09OhZWuwC7RtM0Wr36qP/XX5+ozMur/YwQ0sh0TUyAwAMAALeBMfaOifFZOmZMjNe0aYnqlBR5EzQsBPZs/frzXu+/v99w6ZLiY0KIgul6uhsEHgAAuAOMMZfHYyeEhXmO793b32/GjCTj+PFxdRB8gL06ejTf7eWXt3HPni35LyGknOl6uhMEHgAA+BcYY4wQCgsN9Zg4cmRM3PLlY6p9fV1gCTuwS6dOFbk+++xGVmZm2TuEkBqm6+kuEHgAAOAeYYwpiYSfnpQUOO/FF0cZRo2KUTFdEwDtsX//NelLL21tzc5WvNtTdluHwAMAAG2EMfaPjvZ+dM6cFJ+nnx5aKRLxrUzXBEBbbd58Ufb66zs1V69WrySENDFdT1eDwAMAAO2AMeZ5eztPTUsLGf3qq+OUsIQd2KNffjnrs3Llvuq8vNoPCCE6puvpShB4AACgAzgcVlxiYsBjTz89jJo1K7kWJjQDe/P550f9Pv30cGFxsfIzR95pHQIPAAB0EMbYPSzM85Fp0xIj//Of0RUSiQAucQG7QdM0+uCDAwFff33icllZw5eEEDPTNXUFCDwAANAJMMYcDw/RxAEDwiY+++wIdVpaiIbpmgC4VzRNoxUrdgb9+uvZUwqF+kdCiMOFdgg8AADQibhcdmRkpNfCcePivB9/PL0admAH9sJksuCXXtoiX7fu/IHa2ua1jrbhKAQeAADoZBhjjouLID0mxmfGwoX9qfvu61vN53NgB3Zg8/R6E/XMM3/It27N3lpf37LNkUIPBB4AAOgiGGPXgAC3qUlJAYOWLBnSPHRoZI/odwLsm0ajZy9duiFwx47Lv6rV+oNM19NZIPAAAEAXwxiHRkV53T9wYFjAmDGxhuHDI1XQuwfYsvr6Fs6SJev89+27+m1zs/EU0/V0Bgg8AADQDTDGLIRQZHCwdKC3t3NyenoEa/TomOb+/YPVsJQd2CKFQs1bsmStz4EDuZ8ZDOaLTNfTURB4AACgm2GMnXg8dlxIiMfokSOjg555ZgRMbgY2qaioXrBo0W/ux48XLCeE1DNdT0ewmS4AAAB6mhsdbTMwxucrK9WDs7Iq5jzxRDo9Y0ZiDYz2AFsSGuppWLiwHyktVY1HCP3IdD0dASM8AADAMIyxZ0iIx4IxY2LjXnttvEIqFTlk4zdgn/R6EzV16lf++/fnvkwIqWa6nvaCtxIAAMAwQkh9cbHyo3XrMtc/+OAvvkeO5LnTNKxiB7ZBKOTSCxf2NwUFuU9kupaOgBEeAACwIRjjsKgorzlpaaEhixcPbEhOljczXRMARqOZmjHjG/9du3JWEEIUTNfTHhB4AADAxmCMKTabio+K8p4zenSM7NFHB9UFB3sYmK4L9Gxbtlz0ev75zbnFxcpVTNfSHhB4AADARmGMOSIRLy062nvm9OmJghkzkurkcqnD7mYNbJvFYsUzZ34r37o1+3VCSCnT9bQVBB4AALBxGGORq6twcHCwdMywYZGiGTOSGuFSF2DCzp1XPJ99dmNJYWH9R/a27QQEHgAAsBMYYx6Px04ID5dNTEwM8Jk5M0k3cmS0is1mwRM56BY0TaO5c38I2rDhwtuEkEKm62kLCDwAAGBnMMYUQigiPNxzbFiYLG7SpF7W9PTwhrAwmZ7p2oDj27//mnTp0g3V+fl1/7WnUR4IPAAAYMcwxr5SqSjZz891UFiYp9uwYZH0+PHx9b6+LtC5GXQJmqbRggU/B61ff/49s9may3Q99woCDwAAOACMMUYI+UulosSICNmYBQv6sebPT63m8znQ0Ad0ut9/P+f7/POb91dXazYxXcu9gq0lAADAAdy4tFCBEKrAGB9XKNRTd+y4PCA62tvq4iKkXF2FWCzmW1gsiuh0JrZe34qNRjMKCvIwRUV5NUdEyPQwFwjcK0IQNputdtURHAIPAAA4GEKIGiH0A8Z4365dOW4IIQGHw3JydRW6sFgUq6nJ0KzXmwwsFmX19XUJcnUVxojFfP/ISC8SF+dLRUV56WJjfZu9vZ1NTD8WYJvMZgtlNJrt6rIpBB4AAHBQhJAqhFDVv9zsDEIIYYwFp04V+fL5nIDAQLdooZAb4eXl7BQb60NiYnyQXO6uc3d3Mnl6SlqlUiczbHLas1ksNG5ttcAIDwCge7BY7BQ+T5DMYlESDodnalQrV7u5SEcKhaJhmqaGjBZt8x9M1wjsAyHEgBAquvFx5M85QQq3vXuv+nl6ioOlUlEAl8typyjKlc2mRK6uQuLuLqKlUhGOjvYmkyf3rpfJJDAi1EOYTBa4pAUA6B4YYymfL+if1Ct1gqfUq7GsoojdqFaeFIsksQNTRwRcyjknwxjXcLm8ZBdnN2+ttnm7Tq89zXTdwD7cmBPUcOPj8q1fwxizEUKiGx9imUwS/eOPp0eMGhXDmzo1obF3b/+W7q8YdKfWVitBCFmZrqMtIPAAYIcwxt5BAaFvurpI3R+Y8+RFuX+IbsP2n+QVVWXzhAKRyM8nUHPw+M4ST6nX9KCAsJDIsPim8srixS7Obu5NzepdhBBYuQPajRBiQQhpbnwghNB1jPGenJyq5O3bsyf06SOXT5+eqBs+PAqaIjqopiYDQgjBHB4AQJcTstkc9ktPvpsvdfdsRQihSaNnV6ga6kNjIntrCCFsvUHn4in1Ei195JWrXp6+Rq2uhf3D2lXTz2QelWGMfyGEwOUH0GluXBI7iTE+feVKVeTJk4VjQkM9Y6dPT7JMmtSrzs3NycJ0jaDzXL6sIAihSqbraAsIPADYIaHAaTCbzZFfzb/Umt5/VC1CCPF5AvqJB18sQAihelUtb+ywqSF6o47D5wlqEUJI5CS2PL7whVI3F/e0A8d2SjHGXxBCYD8m0KlujB7mIoRyMcY+2dmV6d9/f2rIuHGxrGnTElUREV7QDdrO1dU1cxUKtR4hVM90LW0BjQcB6AQYYx5CCKM/h3gDEUJVhJAum9BHUdSYkL4hK61qwvrqjQ2buVz+Pf8h0zSN9h/d7rt1z+8tiqrSra2m1mxCCMy5AF0GYywWi/l9Q0Kk4wcMCHNZvHigKjbWV8t0XaB99uzJ8Vi27I+c/Py6r5mupS0g8ADQCZzcnGY5uTgNtVqsVUIXYURlTuVKQkhOV5xL6CIc6x7gPm/gAwObsjZmDRK2uOiff+KNI94yf2NbjlNQnCs5e+GYa9aVDLqhsf5CTV3lcYRQwY35GQB0Oowxm8djJ8bE+MybPj1RsnjxoCq41GV/3ntvX+DLL2//zmKxnmG6lraAS1oAdAKzwayOmBghlSfJzWfXnkU8J14kQqhdgQdjLKLYVB/aQpcghIyEkDonN6fBZqO52mwwN/LF/MGpc1K14Wnh9ZZWS9aVXTkJr616evTnr/2+vS0jPeEh0c3hIdHNMyctZF28khF/7uLJlPyiq1pXF/cjmqbG/YQQuPQAOtWNMJ2JMb6qUKhHHzp0ffzixYNMU6cm1MHkZvtx4UI5bbXS5UzX0VYQeADoIIyxK0IoRugibA7pG6KymqxUU23TMIzx5ntZDYUxxv/YcTjJP97/cUurxYgpTAkkgkw3P7dEi8li4gl5rMDEQL5/vH85QghFD40u9Ynyqdv55s6Juw9tlk8ZO6+0rfUL+EJrWsrQurSUoahOWcM/dGLXlD2HNodgjD/rystyoOe6Eaa3YIzPlpU1zN69O6f3U08NbUhKCoQ5ZTaurEzFLy5W6hBCtUzX0lYQeADoAIwxx83f7fH40fHRvrG+SoQQCu0XqsxYnxGiKlO5I4SUd7s/xaIGS+XSuSwO6xOr2ZrH5rIn+Mf7z0mclKgK6x/WgBBC2TuzU3ginkEkFZn94/zrBBLB3y4B1BXVSVsbzWyZh4+uo49H5uFtnDPloRKTyRi778i2+zHGP8ESdtBVCCE1GONPKyoa4y5frlwweXLvwMceG1wDDQxt165dOR7l5Y3bCCF21YMHIQg8AHSIk5vTpOhh0eGDHhxUiCmMEELIarFii8lCIYT+CgoYYwFCiCaE/K1vhauva9+IgREeuUdyHxK5i654hXuNnPDyhCoPucdf4aXfvH6Fd6shtG+o4sruK/oL2Wf9+/cZ0uFVExRFofumP1re3NI0+NS5wyaM8QZYwg66yo3RzSsY4+WVlephx44VTHvppVHG0aNj7/pmAXQ/i8WKd+26QjU26s4xXUt7QOABoJ0wxoHyRPmsPtP7FN0MOwghxOFzaFc/V5PiimIAxriEEJIjkoqeRgh5IISeuXFfkbOX8zxnL+eYmBExpQKJQEpxqJG+Mb4Nt4ade8HiskjE4Iic7HWZvUwm48W2zOO5Ew6HQxYveLbMzVU67PDJPSEY468IIXUdPS4Ad3LjzcAejHF2Q4P2yfz8Ov8nnkivhLk9tuPYsQK38vLG64QQu1qOfhMEHgD+xY0l52xCyD+DiEpVobpYmVMpjx4aXXPrF3yjfc2aas0cZYmyAmP8uauvq4TD54hvtOQXeoZ4vh0/Ol7cZ3qfCq6Qa/WO8O7QsvD4MfGFlzZnJ569cELGYrHIgL7DOhxO+DwBPX/Go2VBAWGef2z/+U0uh/ej2WLKglVcoCsRQqoxxm9/+unhB4qKlClvvDGhAlZy2YY9e3LERUX1B5muo70g8ABwBxhjHlfA7ecZ6nmfSW8qRgj99+bX2Fx2gDRQOlMik0S4+Lg0/vO+KTNSqvKO5cUZmg1XPYI9XnH2cvZpVDRWiNxF72sbtNvlyXJR2v1pnbrKISw9tPCHHZ8MJ2aEBvQdtqazjjug77D6QL9g4ba96x7LuX6xQShw2mkw6s/d6KwLQKcjhOgwxl+uW5dZVlmpnvHWWxOV0LeHWTU1TdyTJ4sMFgt9jela2gv68ABwGywOK9QjyOPxsP5hrtoGrVvxueISFpvFIohUCsQCF4yxpN+8frzoodHVLM7th9xP/HgirPhcMTtmeIxB4ikxZG3L8ic0oUVuImXS1KQW/zh/TWfXbWg2cNY9tX7W/FGPHxk+aHx1Zx+/TFHsdPTUXun5S6eNNfWVe5ua1ScIIZrOPg8AN3E4rLiUlKAlCxf2Y48eHVvv7+9qV/s3OYrvvz/l98or2/bV1jZvYrqW9oLAA8AtMMYUV8Ad5B/vvyD9kXSNX6xfk6pcJdRUa5wMzQYOV8C1SuXSFtpCY4/gf59rQ2iCbp3f0x12r9w9wlRCqE9f+2V/V51D1VDPO352v+xkxiFSU1d1XNlQe4gQ0ukBCwCEEMIYe8hkkkG+vi5DkpICnEaPjmkdPjxKKZEI7G6lkD2iaRpNmfJ14I4dl18hhFQxXU97QeAB4BYcPmdA7IjYx9IfSa9wljnb3TvJ8kvlsgubslJaK02sb97dvK2rz6fTa1mnzh3yOnp6H6e6RnG5pr7ykNVqvQ7zfEBXuDEHLiwoyH2Aj49L31deGdsKq7m63sGDudInn1xfnZ9f919ix6EB5vAAgP5s/ocQkvOceL19Y3xb7THsGLVG9pFVR0YEiEOrH1ny7NnuOKeTUGQdNWRy1dAB4/DFKxmhGVnH43PzL7c4S1wONLc0nSOEwIsR6DQ3gvR1hNB1jPG+zz478mZCQgAX+vZ0HZqm0c8/nxXn59dtseewgxAEHtDDYYz9pHLpXK9wL283PzeXkNQQEjUkyi4vzXAFXEtQ/6Diuox6Nx6Pb23UqDhuLtJu6ZTM4XBI36SByr5JA1FNXaUgI+v4lLPnj08L8A26Wl2rOGSlrbnQtRl0JkKIwtNTsm7SpC+njR0by502LVEVE9Px5pvg7w4fzpNmZZUXIITyma6lo+CSFuixMMaB3pHeywY+MJDvE+mjkXhKjN0936azGZoNnK0vb5to0BgE7gJP1Sev/bKPqVrMZjPOvprpfvbCcadr+dm6elXNwaZmdQb08wGdCWMsdHLi9Q0N9Rjfv3+I+4wZSc2DB4c1UhTFdGl2j6ZpNH/+T0Fr12b+lxCSx3Q9HQUjPKBHYnFYYQG9A54fsniIUZ4ot7s9Ye5EIBGYnX0lTa1ao8BXJlcxWQuHwyF9EtJUfRLSVHXKGn5G1vGJZ88fmxzoF3y9pq5yg8lssrvNB4HtubEv11GM8clr16pjjh3Ln9Crl3/4K6+MrYMRn45xpNEdhGCEB/RAGGOxV7jXm+NfGo98Y3ybmK6ns615Ys2sXl79Ch69/7lLbLZtvaexWi048+Ipj5/Wf24oKs17FXZkB50NY4zZbCouOTnwseeeG4mmTUuEEcV2sFiseMGCn+WOMrqDEEIw5gd6HKGrcESvcb1cHTHsIIQQm8cxZ1w6Hsd0HbfDYrFJvz7p9SMGT3SRunlOZ7oe4HgIIcRstl7JyChdsXz5tprXX98p1+tN1KefHgotKqoXMF2fPbBYrPj113fJT50qykAOMrqDEAQe0MNgjFkSD0l65KBIh7mM9U9sAYtgG5+KNGHUjKqYiN7D2Gy2TQYzYP8IIcqCgrqV3357cv+ECV/EHD6c50bZ+Ry97mAyWfCrr+6Q//rr2YyKisbv7X1l1q0g8ICexk3sIRa5+LgYmS6kq/hE+5Tz+QKduqmBy3Qtd8LnCei50x5WJcX3e87L0+dhjLEv0zUBx0MIMdXUNK0/ciTvg/z8urw9e65KaZpmuiybZTJZ8CuvbJevWXPutEKh/s7RVlba1gV+ALrQjS7KUYQmPCY6IHcXZy/nplZiEFzLu+Q+oO/wGlubx3NTWHBUy5svfqY7ee5Qn4PHd6Z5y/wyauurdhNCFEzXBhzHjRGKDIxxziefHHrk2LGC+LS0EJKaGtzcp09gE+zG/iej0Uy9/PI2+R9/ZB2vrFT/4ojNQ2HSMnAoGGMKIYQIIfQtn+NRLCrG1c91pDxRHj3g/gHVjjzC06xq5m9/dccEi87C5rOcdKtW/LqTy+Xb9B+6ydRKnc48Kjt4Yie3XFGcVVNXuZMQAqu4QKe68fzg4+TEjQgKkvbz8BAHjx4dg5YsGVIpFHJ77NCP0Wim/vOfrfI//rhwpLq66TdCiENu2QGBB9g9jDFFsagoikVFOns7D9eqtBqhi9BsbDFesFqsJvcA93HyJLkoOCVYF5ISonLUkZ1b6dQ6LqEJ3v32nlETEuZkjxk2tYLpmu6F2WzGZ7OOyQ4c3cEvrSi8VFNX+SMhpIXpuoBjwhg7+/g4Txg2LGrkm29OqJbLpQ77RuhO9HoT9eKLW+SbN188WFPTtNZRww5CEHiAHcMYszEL9/KQe0yVhckC3fzdUEjfENWl7Zf8fKJ9mhFChLbSOKx/mNLV19XAdL1MOP3b6eTcHflRK1/4epOfT6DdfA+sVgvedXCT36advxVV1ZR/TAixu60+2gNj7C2Xuy+qrFRvs1joq440YdRWYYyxWMzv36dP4EMrVozXDh4c3sh0Td1FqzWyXnxxS+CWLZf21dY2r791ZNwR2ebFfQDuAmPMZnFYSbJQ2fTAhECPuNFxat9o36KbIzf+cf4aZiu0HXFj4q4WniyKupx7wcPPJ9AuRnkQ+nP5+oSRMxU6nTZ854E/FmGMv3bkd5638B0/Pi6mqckQlpFRmoMxXkcIqWS6KEd2I1SexhhX1de3PDZhQrz8scfSa/z9XR06ZDc3G1gvvLBFvm1b9u66uuY/HD3sIASBB9gZjLGbR5DHSyGpIZ7xY+IbvCO8y5iuyZaZjWa2VWslyb36213zNYqi0KzJCyuatZq+h47vUt948XfoEQ8XF6FXUlKg7v77UxXbt18O+e67U2/7+bkerqrSHEcIVfWQ0McIQkgZxviViorGQceOFcyYPz+VvWBBv2pHnNvT3GxgPffcpsDt2y/vqK9v2eTof1c3QeABdkXoIhyYODnRM3V2ahnTtdgDdz93LU/CMygbavkyD2+7e8fKYrHJwtlPlGl1LaNPZhxUI4T2Ml1TV5LJxIF+fq56iqLQlCkJtSNGRLHWrj0/6OjRvPTCwnpTYKB7RkVF42mEUElPeEfe3W4swz6MMb5QUdE4ae/eq8Pfe29qXVSUt8NsUaHR6NnPPLMxcNeunK1KZcvWnhJ2EILAA+wMi81KcnJ1cqjeEF3Nxc9Fc/Fyhk9sZIJddpbm8wT0w/ctU+j0LXP4fIHGaDScZbqmriIQcAMCA93+mmslEvGtjzwysOqRRwYilUrLOXToetqePTnpV65UNbq4CA82NRkuEEIY3TPNERFCmhBCvwoE3Mtm88anV6+eTYeGetrNHLg7aWzUsZct+yNw796rG5VK7c6eFHYQgsAD7A1GZqvZCg0z28A92E2dfSwzwO2AVO8t89cm9UptYLqmtnKWuJgfXfB8td6gW8xmc5osFnMu0zV1Nowxq08fuUdgoPtt+xBJpSLz7Nl9qmfP7oOuX69x2rfv2sy9e6/Oioryvl5YWH/KaqVLEEJ1Pe1FrCsZDKbLAgFn9dNP//HU0qVDtUOGRDTYa9+e+voWzjPP/BGwb9+1dQ0Nur098fcEVmkBu8Jis6KDU4JfSH84Xe2oe2F1NnW12un4NycGqSvV7lY9jb55a/NaoUBol5dDSsoLRJ99+7Yk5/rFdxytTw/GGCcmBnx1+PAylYuL8J6avlksVnziRKHbuXOloszMMrq8vEHX1GS4XF7eeMVqpUsRQg098YWts3G57MjgYOnEsDDPqBkzksyzZ/ep4XLZdvN9ratr5j799Ab/Aweur2ls1B3oqb8TEHiA3WFxWFEeco8HAxICpAG9AsyyEFmTs5ez0dxqpuBy153RVhr98vCvc5fOfG1vQlyKmul62utKbpbrlz+9jwuKr71FCFEyXU9n6tXL/5Uff7zfLSkpsLk996+q0vDOny9zuXRJwT9/vozU1DSpGxq0lxQK9QWEUAHM++kYjLFPQIDb+D59AtOefXakul+/YA3TNf2bmpom7tKlG/wOHbr+S2Oj7jDT9TAJAg+wSxhjNkIoRuwhjhK6CHtRFCXli/mSwYsG1wYmBNrti3lXO/HDib6mq5j71nOrTjJdS0ecOnfY88e1q5vLFEXvEkLaFQ5sUUyMz1Offz4ndMiQiA73gqFpGpWVNQjOny933bv3KufixYqa/Py6XSaT5SIhpMc12OtMXC47Mjra++H77uvr+vjj6Yx1aaZpGtXVtXDNZiuFMSZsNkUoCqOb/9/YqOO8+OIW70OHrv/Y1GQ4xkSNtgTm8AC7dGOfl8s3PtZjjDHFoqbkHc8bD4HnznxjfRWZZ7KSma6jowb0HVbfom322bTr15cxxt8SQoqZrqkzVFaqr+zenZPYGYGHoigUHOxhCA72MMyalYyyssolmzdffPjQoTyDh4d4v0qlPUUIsbv5XLbAZLLkYYxfVSq1MzIzy4YtXz5G2bu3f5d1BDeZLLi8vEFQVtYgrKhQC8vKVKikREVXVDRSer2p5cbqMowxZiGEMPpzY3CKEEKKiuq/bW42nuqq2uwJBB5g9zDGmM1jp7E4rGiz0QwTmu/CN8a33mg95dTUrGY7S1ztenPAMcOmVPt4+blt2PbTq67Objs1zepd9t6RubnZeGrXritDnJ0F8qlTE5QxMT6dthw6KSmwOSkpsPmJJzS8LVsuTdy27dKk8HDZxZIS1Vmrlc4jhDjM0uvuQAjRI4R+4XBYWSUlykcefDDNb9GiAVVsNkUsFhqbTBbKaLRQZrMVt7aaKbPZSul0JpbBYGYZDCaW0WimjEYzy2Aws4xGC8toNFE6nYnW601ErzchrbaV6PUm1NRkwNXVGmw2W+t1OlNubW1TWXOzsQYhpEIIqQghdr96rLvAJS1glzDGmMVhpbj6uqZRLCqMzWM7xY6IpTxDPDUhfUNgme4dHP/ueErh4eLwH/679Xdb31D0Xml1Lewtu9f4Hj6xu0xRXfYZIUTDdE0dgTF2cnLi9g0N9RzXp4/cfcqU3rrhw6NUnT1JVq83UUeP5ktPnCgUnDlTTKtU2muFhfWnb4QfWBDQBhhjcUCA21wfH+d+FguNaJrQCCHzjQ8LIcRMCDITQoxWK22wWGiD2Ww1mM1Wo9Fo1mu1rbrWVnOr1UpaEUKmWz5aEUIGhFCjI+5e3t0g8AC7gzF2dXJzmugd4T2+/339a4UuwlaTwcT2i/HT9ISNQTti/8f7B0vqZKaXnnrH4XrZHDi2w/uP7T+3lJQXfEgIqWW6no7CGLPYbCoyONhjVHCwNG7y5N70tGmJtVKpqNMn5huNZurUqSLXkyeLRCdPFpL6+ubCkhLVaYPBfA0ue907jDEHIWSFyeG2CQIPsBsYY1e+iD+QI+AM8Y70jpqwfMJFkZvIxHRd9iRjfUZCzsbcuLeeW705KCDU4S5hZF485fHLhi9RYen1j81mk0PM60EIIYyxzMtLMjg01HPEjBlJrLlzU2q6Ivgg9Od8kczMMpeTJwslx44VoJqapvKSEtVxna71AuxcD+wZBB5gNzDGQZ4hnsu9I7w9Rj8z+ipfzIch3jZqqGgQb391x6Rn73trd3x0kkNO7s4tuOL8/ZpPJbn5l1e3mozZTNfTmTDGLjKZZFhYmOfoBQv64fvvT63qyn4wNE2jixcrJPv25bru23fVWlHReFqhUB9DCJX11F4uwH5B4AF2BWPsET4g/L05H82xm52/bc2ax3+f9uj4l47ZY8fle6WoKhV+/cuHsiu5WT/p9NrjjvbijDF2DQx0m9W/f0j/558fqUxICOjykReNRs/es+eq57Zt2Zzr12sqCwrq95hMlmyYNAvsBQQeYFcwxu6yUNl7saNiOSnTUyq4Qi7sHt0Gh1YfGqC4pJBPH/jAyfEjZzhUp+J/alArud/++rHf5WvnT9Sran9ytJ3GMcaYzaZi4+J8H5wzJ8V58eKBVRKJoMsfI03TKDOzzHnnziuuhw/ntSoUjUeqq5uOOFoTSOB4YFk6sCuEkAaM8RuGFsPj149eD0ydlaqPGx1n9xNUu8OV/VfCFJcUci9uQH16/1GVTNfT1eqUNQJjq4EghCn0Z28Sh3Jj1CoHY/xybW3zxBMnCsYsWza8eejQyC4duaMoCqWmBjelpgY3LV3awtmx4/KIdesyR/n7ux6prNTshUnOwFbBCA+wW05uTg/6x/tPH/v82MsSD4ld91/pDj8//PN9ZiXNWvPF3l+YrqU7bNm9JuDHtasz9Abdup4w2RZjHBwT4/3Q7NkpPk8/PbRSJOJ324hWc7OBtWHDBe/ff8/E+fm1B2prm/fbe3sA4Hgg8AC7xeaxk51cneb7xfp5zXh3xnWm67F1vz352wJjlZmsWb33V6Zr6Q6Nmgbu2s3feRcUXzMpG+rOctgcEZfLE5vMrep6ZW2hydxaiRCqcKQ5KBhjnpeXZNrAgWGjV6wYVx8b66vtzvM3NurYa9dmem/YcIHOz6/bq1S2HHKkrT+AfYPAA+wWxljEc+It6DWu14Axz47JZ7oeW2LUGtkFJwuCFdmVfroGnRNPwjNpajWeoaKYkuVLV55mur7upGqo5+UV5bhyOTyrs8SltalZw6upUwhKK4rI5dwLunJF8cuONgLE4bDiExMDHl2yZAh73ryUaorq3gbkKpWWs2bNOe+NG7MsZWWqw9XVTecQQuWONnkc2BcIPMAuCZ2Ffd383RbGDIvh9RrXq0boIuzxu6TTVhoVni4MrMypDFBkVfqI2S7NscGJla7OUv2l6xn+BoOef9+UR8878uqsttq867eAdVt/ONjQqFzHdC2dDWPsFhLi8dD48fGxy5ePqfT0FHf730hdXTN3375rnvv2XWPl5laryssbDzc1GS4SQuq7uxYAIPAAu4Mxxhw+Z0qf6X0mjXhyRCnT9diKza9smdRYoBZHB/UunjXxgZwQeUS3Xs6wRyXlBaK3P35eUqYofuLGBowOBWPMcnUVjkxJkc9cvnxs86BBYYz1Xrp2rdrp0KHr7vv2XcMKhbqksLDuiMlkveJoo2vAdsEqLWB3KBY1zTfad5Y8SQ7vEm+BWZhQPIyG9B9TBGHn3sj9Q7UDU4dLdXrt/RjjnxxtS4AbS/H3Yozza2qaHnvggbSARx8dVMnnc7r9ccbE+OhiYnx0TzyRjs+dK3M/dOj6osOHr5PwcNnF0lLVSYuFvk4Igc7poMvACA+wKxjjQN8Y37fDB4SzBi4cWAB7Z/2/+pJ6552v7ZqwbN4buxPiUhyyi3JXMJvN+Kuf3w86fubADnVTw2ZHnWeCMRb6+7vO7tcvJP2FF0aqkpICGZ9MrNebqGPH8t0PHMgVnj5dbFAoGo/U1bWcQQjVOOrPATAHAg+wK3wRfxhXyB0vDZQGjHhqRJl3hDcMh99w/dh1ec7v12O+eH3dbqZrsTc6vZa1+vt35cfPHDjSajKuJYQ4ZJuDG80Ko2NjfRfdd19f58ceG1wpFHJtYlSrqkrD27Mnx2Pnzius4mJlcX5+3QGrlb5CCDEyXRtwDBB4gF1xD3R/K2lSUnDc6LhysVQMw9+32P769lHmcsJZ/fbvu5iuxR41ahq43/z6UczFy2c3NqiVvzvyCAPGWOjj4zwlJSVo5HPPjVSnpYVomK7pJpqm0ZkzJa67d+dIjh7NNykU6uPV1ZrT6M8WAg77MwFdDwIPsAsYY4HQVfgQh8/x7j2+d0D6onSH2Qm7s1zYdCEm73B+lFlrYXEI1/LCI+8cCAuJghGwNjC2Gqj3P39Vfibz6MeOtvHo7XC57PDISK9Fs2cnS5csGdItW1O0hUql5ezZk+O5Y8cVdn5+bWVxsfKAwWC+SAjRMV0bsD8QeIBdcHJxesAvzm9mysyUYnmivIHFYcEv7m2Y9CaWqlzlcviLw2NczV7KD1Z8u5/pmuxNmaLY6b3VLwvzi66+0BNeWDHGfJlMPD4pKXDcCy+Mahk8OLyR6Zr+6eau7bt25bgeOJBruXKl6hut1niB6bqAfYFVWsAu6Jv0BxU5CnlQcpBvSN8QCDt3wBVyrT5RPg1Rw6IuZf9xpXdXnGP2I8MfdnP1aCSEIApjMm/aI6f7pwyp66zjP/T0lDnvvvzlVpmHNyNzN+T+IbpBqSPcq2srBiOE9jBRQ3e6MUdmE8Y4S6lsWbZq1Wzn1NTgJqbruhVFUSg5Wd6cnCxvvv/+VMGSJeuXCATcTw0GUzbTtQH70b3tNwFoJ0JIpbHFuKc4s1jaVNvEZ7oeW6ep0rjKZaGKrjg2i8W2fPneus1fvb9+86QxczI37vwlpSvOw6QRgyfU+XnLJ2KMnZiupbsQQkqzsytXr1ixw/nUqSJXpuu5k+BgD8Nnn82sHzQobCmHw4pluh5gP2CEB9g8jDGfEGIkNLlaX1RfVltQ6+zs5QwrN+6gIrvCs/xMhXzmiAdPdvW59Hodl88TtCKEUFOzhvPmh8+MNLYaeFaapsaPnHF+/Ijp5Qgh9P2aT+MuXD4TiRBCfXqn5T00b2lOi7aJ/dbHzw9v0TY7EUJTI9MnXpw67r5ihBDasP2nmPzCnEArTVNPLvrPoZiI3ppzWSc9ft/yXX+LxcxmszmWRxc8dyw6PL5p/dYfwq/kZgWaLWa2pqlREhkWV/bsY6+f68jjkrp7tqalDOUpqstGYYy39pTJsiaTpZDLZa+sqfn9gUmTesmffHJotUwmsbnFAWFhMv3HH89QLV26YRmXy/7QZLLAXnrgX0HgATYLY4y5Qu5szxDPoe7+7tX+8f5+gb0DqZC+IV0ycuEo3APdNf4pfpVbj/2ePHrolHI2u3P/zK1WC/vxF+dMs1gsLL1BK1z68Cu7EEJIKHCyvPrshwdcnN3Mdcoa/iv/XTJ57LCp5VmXz0ovXD4b8cFr322laYJffOuRyb1jU6qraiokEpGz/v0V3+5D6M9VUjfPIXaSGL94b92WXzZ8Gb1l15r4mIjeJyJCYzQfvf7DDg6HQw6f3OO7ZtM3Ke8u/+IgQgjVq2ql77/23WYBX2Bd8tLcWWWK4qty/5AOzb+ZMGpGlaK6dMq5rBMYY7ylB4WeAozxa1VVmmGnThVNe+SRQfTMmUk1bLZtzZuLifHRffzxDPzUUxue5XLZ75lMlkKmawK2DQIPsGVx7v7uI3tP6M2ShcpcfKN9q9g8tk30DLFlTq5OpuFPDj+25eWt43/d+FXMg3OevNaZx795SQshhM5kHpX9sPazIUm9+m0khMZf//JhSnlliTfGmOj0WqeaukrBletZXtHh8WVikbMFIYSiwuJLL1+74N2/T7pix/4NqR999XrfPglp5YNSR9TePMfQgWPLEEIoIiRGdSU3KwghhDTNau57q18Zom5SOSOECU3Tf12Sl/uHVLm5uJsQQsjN1VNdWV0m7mjgEYucLUse+k8ZRnjayXOHe7FYrIM0TRsRQgaEkA4hVOWonYFvPK69GOOsigr1nP37ryUtWzZc2bu3v02t+ouP99N+9NF0atmyP57j8djvtbZaSpiuCdguCDyAcRhjNvpzPpkTpnAoT8TrJXIXSYNTgiOjh0abkqYklTNdo72hWBSKGRV9LePXY/EPos4NPLfqnzKk7tvfPubXKasFx8/s99fqWvifvf3LFi6XRz/09JQ5BqOejQi5bTvsyLC4ppWvfL3lyKk9AZt3/pZy5VpW5ZKHXrqIEEJ83p/LoymKRWjaSiGE0C8bvugTFhxV/eDcJw8UleaJ//vZf8bfPBabzflrOTWFMbFYLZ3SgvtKbpZbeVVJ7LgR0zxlUm9/rb6F6PU6omluRGWKIpOri/sBTVPjPkKIoTPOZ2sIIfUY41UKRWOvnJyqBbNmJQcuXjyoysVFaGG6tpuSkgKb339/Gn722U3PY4xXEkLg+QLcFgQewCgWhxXqGeL5SFNtk1XiKXEXe4g9g1OCdb4xvg0B8QHlFJuyqWF0exIxKKI0c+35lA+/WJH6+IMvZQoFwk4fHbuWn+1CExp7Sr2MOoOOK3ISG7lcHn309D4fra5ZjBBCvWL61PywdlW6VteSTQiNrhdeCXr4vmVHFFWlQqm7rHXmpIWFQoGT+XTmkfC7nctoNHKlbp46hBDae3jrXW/bGQ6d2OWzdc/atAkjZ+SMHjol759fb1AruQeO7phw9PTeAWw2+2er1XrVES973XhM2Rjj/OpqzbijR/PHPfHEEMO4cbH1FGUb615SU4Ob3ntvKvX885tfxBi/TwgpY7omYHsg8IBuhzHmIoRCxJ7iviF9Q4YkT0nW5R7JdfOL8zOGpYVdd5Y5O2Rb/+5GsSgUPTLqWvGZa+GPLJ86d9nC1/cm9Upt6Ohxb87hQQghQgiaM2XRMRaLTcaPmFH0zicvjFry0rwpMg/vBhdnNw1CCCX37q/KvpqZ/9zrD01B6M9Jy0m9+jUcOLbDb+tn/0nFGBOKouj7Zzx26m7nnTByxuWfN3yRfujk7viQwPCqjj6Ou1E21HG37lmbOm3cfZeGDhxbdLvbuLt6mOZMfagiqVc/ycYdPz9/NS87A2O8nhDyP31sMMbY3sPQjVGsTRjjc2VlDffv23ctfNmyYbWhoZ42Mbo1YECo+sMPp7u88MLm//B47PdbWy3QnBT8DTQeBN2O58SbJE+UL4wbHacMTQ2t54v5NjM87oiOfn0stfhESeiSOcv3900cqGS6Hnvw6ntLB3t5eKMnHnzp+L3c3mw248Mnd3vvPbyFqqmrOq5qrDtECKlB6M9tHGQePo+rGuv3WizmLru82J0wxpRQyO0XG+szb8GCftwHH0yrZmIH9tvJzCx1fu65zU4ZGSUfmkyWAqbrAbYDRnhAtzPpTXkUm9JWXatie0d4cyHwdK2mmiZXN4GHOim+H4Sde7B515oQU6vRbd70xfe8CSuHwyGjh06uTksZwj5z/tjgI6f2DPPy9Dldp6w56OsdMLtf8uDkcxdPEYxxI5vNCbFYzI0IIRb68zmYdePjOiGE8R3M7wUhhEYIncYY51RXa6aeOFE49JNPZlZ6ezszPok7JSWo6bPPZtLPPLPxBS6X/REsWQc3wQgP6HYYYwohlESxKFnvCb1njH9xfCmmOmWOKbgNnVrH3bty7yiuxqn1pSf+e8zDXcb4i5Ite/qVBeMnjpqVd6dLWffCZGqlTmQc9Dpycg8nIS6VnjxmTuXydx7z1zSrmwf0Heam02tNbDYbc9hcxGazsclk4hw7sz+3qqb8Q0KIuTMfT3dwdhYMGTcu7oFVq2YrpFKRTdR/5Uql6JlnNrodP17widlszbndbby9naf4+LiMQQjRCCELIURrtdItJpO1Sa83qauq1BVWK1EhhFQIITUhBN6c2TEIPKBbYIx5CCEzIYRmsVm9xFJxLFfIHSRPkgtGPjWyDJabdy1tg5a38cVNMyb1nXt6yth5pUzXY6v2Hd3ud+Tk7j7v/OfzbRwOt1OfHA8e2yljczhoSNro/9mGg6Zp9NP6z+V7Dm3ep9Y0bLC3+T4YY+zqKhwzYkTUrMWLBzWnp4c32MKE5uvXa5yWLftDevx44SqDwXTp1q9hjP3HjYt76+efF1ZxuSzaaLRQzc0GdlOTgdPcbGQ3NOh4VVVqTkmJii4rU+Ha2mbKbLa20DRp0OlMdUVF9ftgcrR9gUtaoFsIXYTLaJo2UyzqrG+07+P95vXTiT3EBv84/5rurmXV1FUPzP1k7oaDqw6mzflozsF7vd/G5RvT5Yny8j7T+5RuemXToJTpKTkBvQPUXVlrZxG5i1qFrkLd5v1rBvTpPaDWzyfQJiaa2ppTGQdD+yYOLO3ssIMQQiPSJ9xxvzGKotDcqYsU1TUVY09lHilECGV19vm7EiGEYIz3bt2aXZqTUzWjX7/g4AcfHKBJSwvRMFlXVJS3bvXq2eTpp/94WiTifaHVtmbe8uVmrbaVFol4Vj6fQ0skyOrpKTajP/ss/Q+appFSqeXW1DRJSktV3t98c6Kvp6d4q1Kp3WuPo3I9EQQe0C14TrxmWahsvGeIZ2xgQqA6OCW4w6uFOkIaKNW3Jez80/S3p5/ozHq6Q8zI6Cvnfs3sV1yW7wyB5/bUmgZpQlzfS/9+y84n4AutD8x5slbZWP9MoH9IfnVNxXqzxWw3k25vjEpdxxi/XVhYH5uRUTpz0KCwoIceSmtITpYzNjcpLEymX716du2yZX88IZEIOM3NhtM36m2KiPC6fORIXvjYsXH/Or+Noigkk0lMMpnE1Lu3f8vAgWGcTz89NHXz5ktJGOONCCE1QqgZIaS7MccJ2BgIPKBbNNU15abMTElOnZ1awXQtCCFUW1Ar3vHOjtGP/PLIxtqCWvHej/YOsZqtbIQQGrhw4OmIQRF1hCZo21vb0pQlSh+hs7CFoP9voPfzYz9PGHD/gIzQfqHKVVNXPRCSGnK1+np1AIvNsk55fcp+V19XQ3VetWTfR/uGEkKwd4S3ouhsUdxTW576ianH3Kpt5XMI1xgUEGoXE2O7m1bbzKIJ4Qb6hTC2U7ifT6D+9ec/KS9TFHns2Lv+ZS9P3zN1yupNhBBG3yC0xY0X+ysY42sFBXW9Tp8unjVsWKT8gQf6q+Lj/bRM1BQc7GH4/PO51UuXbnjExUXI1mj0xxFCqLRUtfeHH04nDh0a2dDWVWZSqcj89tuTywYODJPu2XN1mVLZQurrW6imJgNJTAzQWCy0SqdrrVco1GfMZmuevV2mdEQQeEC3oC10lbJEaZN/8C7eLoZ5n8zbzRVyrVXXqpz3fbxvaMSgiK0Xtl4IaqlvcVn0w6JNjVWNgnXPrJuJEPqfBnRWs5XjHeFdP+6Fced3/ndn38w/MiNHLRt16chXR/pHD4vOSZ2dWnz8h+NRDDy0v0mYmHBNU61x+3LNe31XvvTNUabrsTWGVgOLRbFoFovFaB1uLu4mNxf3hrjIxMbDJ3cn7T28JVnsJNmo1bcctadLJ4QQK0LoIsb4SkFBXfLRo/kzRo2Klj/4YFp9RISXvrvr8fd3bf3iizlVjz32+wMY42pCSKHJZCkICHA7/uOPp/s//nh6ZXuOO2pUjGrUqJi//m0yWXBtbTOvtrbJs6pKE7h586WBFy6UFdwYBSqC4MMcCDygW1AsSmRsMTI/i/E2LGYLteedPWmaWo07hSmi0+icEUKoOrfaK7hvcBHFpog0UKp3D3S/bbM7zMLWhAkJ5Qgh5BnsqVLkKHwRQkhdpZb1mdZnP0IIJU9NLrq8+3Jqdz2m26FYFOozq8/5bS9tn5Cbf8U5OiKesZEMW+Tq7G6yWq1IrVHxXF2kjDe/vLnUPblXf97WPb/PPZt1PJ3D5vxsT5e5EELoxsqmDIxxVkFBXeqhQ3nTH3ooze3RRwdVdvfEZm9vZ9MTT6Rr8/PrZmOM3yGE0AqFetMvv5xNGjYsUtgZQYzLZZOAADdjQICbESHUNGlSL3Tw4HWfn34680p2tiKXw2Hts1joXHsKr47CJl+AgONxcnOK8gzxdGK6jts5+dPJOL6Yb1j0/aLND3z7wBbaSrfpLT5FUfTNZfUUi6IJTWz270oilRjF3iLtt+s/6mexwArbW7HZbCQQOjVdvpblx3Qtt5K6e7Y+PH9Z2dOPvOqUmjz4ZU+p10MYY2em62orQohZrzedvHixYvnHHx8qePvtPYEmU+fsedYWw4ZFqgYMCA1ls6n4G3U1X71a/dvHHx/younOn3pDURQaNSpGtWbNg2WrV8/2f+yxwU8nJQV87OEhnoQx9uj0E4I7stknZuBYDE2GulZda7cPY98Lk8HEFboI9RSbImfXnQ1HBGGEEPKJ9qktySwJoS00bqhoEDZUNPi05biuPq51F7ZcCEYIoaytWaFdUXt7pMxOyWyiVdKjp/bY1Au7LYgIiak6n306mOk6bic+Okn9yrL3y++bvrhfVHj8Sj5f0A9jbHcNrAghuuJi5afffXfq7AsvbJFrtcZuvYZIURRavHhgQ3S091yMMQchhPR6U+aRI3k5W7Zc8uqq87LZLDJiRLRq1arZ5Vu2PKZ7/fUJk0aOjH4/MtLrWQ6H1etmLaDrQOAB3cJisqj0TXqnEz+dCFbkKFwy1mcEFGUUuXd3HVazFWMK/+1tXPKU5NzS86XhPz7842RNtcaZxWGZb3y+VOwhbvr+oe+n7/tk3wA3f7c2LaEfsnjI2asHr8b9sOiHKTq1Tsjmshlv+Jd3PE9+ZNXRIb7C4Epfb3kL0/XYmtmTH8gtqyiSnM48Gsh0LbfD5fLoCaNmVi5furJ5UOqIx9xdPebZ4wslIcRUWan+ft26zN1LlqwPrKtr5nbn+ZOT5c0jR0Z7ikS8fjfqoYuKlGt/+ukMz2KxdnmIDAhwMz7xRHrFzp1PVHz22aygxYsHPZ2YGPCxu7toAoz6dB1oPAi6BcZYInQVTqIoykvgLOBqqjX54QPDx05/e3q3rtoqvVDqfuTrI4Me+v6hrV19LmOLkc1z4lkwhdG5DedCis4Whc77dN7+rj7v3Zz65VSfprMG1/df/fYAk3XYsh37N8iPntqb/NjC54+Gh8TY7OooY6uBWrf1h4Bjp/eXKKpKvyaE1DNdU1thjLGLi2B4enrE/A8+mFbTnRuRFhbWCefM+UGYlVX+AiFEjxBC4eGyZZ98MjNs3Li4bv9elpWp+Dt35njs3HmZKi9vzCkpUe43m60OsfearYBJy6Bb3Ngj6Leb/8YYx4ql4rHdWcPxH45H5Z/Ij02dnXq2O85XeqFUeurXU2mIIMzhc1pHLh15TxtRdgVNjUao1+gFNXm1vjzsxMjSYHsxcdSsMlVDvfDLn94fMnXcvKxB/UbaZGdqPk9AL5j5eFmoPNJ7445f3ubzBT+2thrP2dMqoBu1HuTzOWqttvXxlSunaJKSArulbUJYmEw/dWpvaVmZKh0htAchhAoL6/dt3JjVa9y4uO4o4W/kcqnxySeHKBYvHoiPHMkL+f770y86Owt+bGoyHOv2YhwUjPAARlAsatDIpSMfTJ2dWsZ0LT3Bvg/3Dam8UOWLLBi9v/zbTd4yfyPTNdm6fUe3++3ct75vcu/+1XOmPnyOz+PbbDO5qpoKwW8bv/a+lJN5UtlQu5EQomG6prbictnhycmBz7z99iTz0KGR3TKydvx4gdtjj/1emJtbsxqhP/f5i4vzffvHH+/nM9ksESGEamqauPPm/SA7ejT/BXvqw2TLYA4PYAShSVNdYZ2w9EKpu7JE6VSTXyO+sOVCwKZXNiXo1Dq7m5Ng61x8XTQebl5136zcvBbCzr0ZPWRS5YtPvrP3Wv5lyfufvzKmsqpczHRNd+LrHWB49rE3SudMfahvr5jkj329A57EGEuYrqstTCZLwdmzJW8/++wmyx9/XJB1xzlZLIpQFPXX8w0hhM7Pr9u5adNF1+44/914ezubpkxJQFKpaCDTtTgKCDyAKYUFJwvW7vlgT/7mFZsN29/crjv85eGtqjKVyg4Xnti8gN4BFY3GetniV6bOzbqc0e2Txe1VgF+wfuUrX++XiJxrPvzqtVEnzh4IYrqmO+FwOGTymDmV7736TeXI9EkpPC5vIMaYz3RdbUEIqczOVrz9+uu7VF9+ecyvK5aJ34rNpmiM/z61w2SyXDx8OE9fUdHI+Pdu6tSE+uBg6Sh7+znaKgg8gBGEEL1Oo9umLFV+XltQu6K2sHaFscV4ksvnQtrpAj5RPg33fXnfWlmcp+rTNW+M+f73T2KZrskWNWpUnNKKor/1i2Kz2ejpxa9eHD1sSsa6rT8mrf7+v4O02mZm2zHfBZfLo4cOGFMzuP+o6TGRvb8MC476wFniOs5eXjQJIQ3Xr9e89/HHhwree29/YFeGHg6HRTDGf/tZEkJaFYrGoydOFEq77MT3yNfXpXX48Cg+l8tOZLoWRwCTloFtwYjNc+JBR7wuwOFz6BFLRxzKO5oXenbzsZiYC4l1ra0Gdnra6G7fsd4WWSwW9MbH/0mvbmyU9goJL31o7uPZt17+Gz1kUmX2tfOVR7Ozos/nPuw2duDoa9MnzC9ks23vadTPJ1D/0lPvltM0jWrqKgVHTu2ddurcoRFcLu93s9mUZeubWxJCtBjjVd9/f2oJh8OKfuaZ4RVd0ZX5z0ta/7usv7FRrzYYTDYRaqdM6a3eufPKaITQGaZrsXe295cKejKL1WJFFIuCmfRdhC/iW3pP6J3XUN4g/WrTylF0K0H9+6T/zuXye/z3/Of1X8bU6mmhz+DH9+RdP9xr2TvPTOgX27v4oblPXl798weJBaWFvlqDQeQ7YPF2k1Yl2XrmeNzBM4cjRg0YnjdqyKQyZ4mrzQV1iqKQr3eAYf6MxRUD+g4Vbduzbkn2tfOFGOPfCSE2ufrsJkKIEWP8+ddfn1jKYlERS5cO7fTQw+Gw/ueSFkIImc3WVr2e8bZZCCGEevf2b3Fy4vljjHmEEMa3PLFnEHiALRFTLIql0+i4IjeRbTzbOKi0hWkZvSf3zt75+s7JR07v9x09ZFK7Nk50FFfzLjkfzDwR7dl34TEn98AmpwEPnmipLXA/d/1gQubLD002YzYWBw+8LraaWWKv8AaEwhtcg/uWNhScDN96NiNs08GdyV5urg2DU9JLJoycXmKLATIoIEy79JFXtFmXz3pt37f+NZmH9/F6Ve1WW17RdSP0rPrqq+NPczis0CVLhig68/hcLosghG/3OmjS60028TNks1kkKMidZGSUeCKEOvXx9zQQeIDNIITUeAZ7Vl3Zc8Wv/339S5iux5EZW4zcCxsvpFp0NIoOi2tkuh4mmUxG/PnPn6QJA/sWi70jlTc/L/YKbxB7hR/SKC77YIqinX3jam+9H0WxkEdkeoFHZHqBSafmqUvPhW88cTxqy6EdvZOiYstnTlhwzc8nsNsa6d0LiqJQn4Q0VVx0YuPBYzvT9h/dnurkJF6v12tP3tjk0+YQQgwY41WrVx9ZxmazAh99dNBtN/FtDz6fa8UY8W7zJZNOZxuBByGEIiO9MELIC0Hg6RCYtAxsirJU+du1w9eQtlHbra3me5qrB6/G1GWq3ManzTwX4Bdsk3ucdZcvfvowUYOckCx+/KXbfd3Fv1f1P8POP3GdXFtlsaNzgke/uMslac7pi7U60bL/Pjvx5ZVPD6xT1tzuBZVRfJ6AnjBqZuWrz36onjBixgK5f8gbHDYnwlb35iKE6AoK6j/99NNDlT/9dMa7s47r7My3YIxvt6mxzYzwIIRQWJin1dvbWc50HfYOAg+wKWwum4Uxxq3aVhh97EI1ubXe/t7BNbOmPFDIdC1MKS7LF339y4e9zl7LCfZKmnGaYnE65QXO2TeuNmDgw8cCR76wvdwkxM+9u3TcpZxMxvu63I7Mw9u4eMGzZU8vXiHqnzJkuczD5xGMMeOrk26HEKLNz6/75PPPjxqysxWd0hNJJOJZWSyK98+VWgghvkjEs5nwFxLioZVKRWFM12HvIPAAm0JbaSuhCQ0Tl7uWRCbWFimuy5mugynKhjruyx++OP7A+Yw454ihOUL3gKbOPgfXyc0YMODBExz5gMJPfvwwXdlQZ7OjlvHRSeqXn36/bMGsx5N6x/R5T+rmORtj7MZ0Xf9ECGm+cqXyh/fe2+9hNJo7/PpFURQSCrkEIfS3Jft8PtvNz8/VZgKPUMi1UpR9tBWwZRB4gM3AGEeKPcSLXP1cnQQSgZnpehxZxOCIXIqLyIXs0z2yCeHug5tCTRSfFT75nTUeUcPyuvJcXnFjc2jX0Ib3v3wjrSvP01EcDoeMHjq5+s2XVtXMn/noiF4xye+7u3rMxBi7MF3brSwW+urp00Unvv/+lG9nHE8s5tHoH4HHx8fF19NTbDMrokpLG4RabWs503XYOwg8wJZEeIV7RY57YVweX8y3yQmUjiKgV0Bt6JCQ4p+2fp7KdC1MGDNsarEbn91UfmT1aJ2ytMsvN3n3mXWmQq1z3rF/g7yrz9VRIiexZeKoWYo3X/ys9r7pi0fFRSV+6OYqnYYxdma6NoT+3HBUoVBv2rz5ItUZTQnFYj5C/wg8QiHXx8fH2Wa2YKmsVAuqqtQQeDoIAg+wCRhjgdhDnO4R5KEWSAQQdroYxaJQZHpkro40u/6y4csopuvpbjIP79Yv3/5+d1+5d131mR+Ht7aoBF15Pg7PySL061V++sKpwK48T2cSi5wtk8fOUbz54qq6eVMfHhsTmfCBm6t04t0mNmOMRRjjTptUfCeEEI1GY1CWlHT85yYS/W/g4XLZMn9/N5tZYVdaqqKNRks903XYOwg8wCY4eznP8I/zD0idk1rMdC09xfUj12MEFlFLeEiMiulamFCvquM7i51NLKuB3VJ9za+rz+ccmFhcXlfjabHYV553lriYp46/T/HWi58pI0JjpyCEbruxJ8bYIygg9OXwkJhXumPis0ajzz13rrTD84zEYh5GtwQejDGXy2U7y2Rim+kFVlqqIggh5b/eENwVBB5gEywmi1gkFZmdXJ1g7k43cfF1adQTreDL9StH7Tqw0W5GHjpL9tVMz12njiQ4hQ3PkUYM7vLVakJXv2bCFpozso53y07gnc3F2c2cFJ9KBAKn+H9+DWMcEB4c/eoDc550njPlIZa/b9DjGOMuXY5fVtaw//PPj5ozM0vbfamNpmmUl1dLIYRu7UVFWlvNLcXFSmHHq+y47GyFuLhYqUMI9cg3Jp0Jlv4Cm6Br1B2vL6pPZ7qOniRuRFy+sdkouLo9NzqpV2od0/W0RZ2yhvfx16/3UzbUuFppmmWxmLmIINbkMfPOTBk7t/he9rcKDozQsLh8vSxu9NVuKBkhhBBb5NFcWl7oOqDvMLv6ft/UK6aP2tvTdzDG+CAhhCCEEJvNiYqLSlz20LylhvjopHqEEKqoKgnesf+P2RjjX2/errMRQmq4XPbHy5dv+89XX801h4XJ2txP6syZEtfy8sYSQshf+8kRQsxiMX/Lzz+fXfjOO5PLOrXoNtLrTdS77+71yMmpep8QAm8GOwhGeICtsFBs6n828QNdoya/xnXtsrVzCk4XxjlxxPpbN8m0RTcvAxWX5Yu+//2zmP+88+hYM62zJiT1OtGvf8r+QYMH7HR2FdfvOLC2T871i/c0CZnH41kRId36HIg5fLNW32K3y4uDA8NbZB4+PujGZS0+X5CaGN/3xaWPvNIcH52kvnm7WZMeqEiK7zdMwBcO6Mp6TCZL0enTxZ8/99xmr7q65jYv+9+375qksLD+0D8/r9W2nt2792pTfn4to6M8X3xxzO/06eLDZrO120K5I4MRHmArtK261pamuiaes8z5b8tBCf3nG0RM2UxbDLt3aeulRBezR0NIYGTd4KmjbG4TSWVDHXf5u4+NbzW1sgihKavVykEIIRaLZXZ2EatCwuRXQkJC/jbfa9CgQfsP7D845fzlM748Lp8ODQpvvtueVjwu30pounsDD4tDm81mm9iFuz0oikJJvVLJldwLvSViZ9w3ceCcRxc8V+3l6fu3wMzl8ugH5iypVjXWPYAxruzKjUoNBtMlNzenX154YfPC1atnl0kkAuu93E+j0bOPHs23mEyWK//8GiGkVSjkbv7ppzMPrlw5tazTi74Hp08Xu6xZc66xulqzkYnzOyIIPMAmEEIq3f3dy5SlStdbA49OreNsfW1rbOSQSGXylOQevcFlZ7l68GpIY16T+MMXf9hlizt8I4QQl8Ol9YYWYUrflP1OTk5aFotlbWhokMpksloOh3PHtcgWi0WSm3cpKq/gcoTBaOAIBU4aqZusmcNm0xaLGQ8fPL4guXdaA0II8Xh8KyLW7h3lpi0Umy28pxdkW9U7NqVR5uEzJSI0RvDI/GcVzhKX215qkXl4GxfMeryluUXzFMb4NUJIc1fVpFbrj+zff8311Vd3TPzgg2mlXC77jkHXaDRTe/bkeP7xRxavoqLxECFEd7vbGQzmjP37c6fOn5/qFBPjc9vbdJXmZgPrvff2uVy/XvMOIaRHb/3SmSDwAJvB5rGxk6vTX2GnoaJBePSbo17VedU7W3WtfcL6hfGdvWynN4Y9oq00Kj5bEpYU3r/UFsOOsqGO+91vnyQRhBAiGPF4PKNIJDIghJCfn1/1v92fEGR87vE3d/n5BBpUjfX8K7lZvjV1le5Wq4UqKM4NzLh40ngz8Ah4Aish3TvCQ1ta2UKBk82s/mkPuX+odv7MR8V9EweW8XmCuzbCiYtKVE8aPdt37ZbvH8YYf9ZVG5QSQgjGeMu2bdnOFy9WpAUGupHgYA8UFOSO/f3ddMHBUj2Px6G3b8/23LLlEi4tVZ0vKVEdQAjdcZNiQohJKORu+vXXs4vee29atwaezz474n/uXOluk8nSY7d+6QoQeIDNIDTRtOpaJTf/nb072+P6setraAt9UGlRFmduzFww4skRZQyWaPeuHrwari9t5c554aFrTNdyO4eO75LnFl4MpViUxcXNpY7D4dzzRE2r1YppQrM8pTIjQghJ3TyNQweMKUYIFSOE0OsfPON6/MKZ+Mxrc/wpjAnGFCGIhWjaiiiqe64y0UYtT+rm2a0vnp2Noig0uN/Imn+/5Z/GDJtapagu63Xg6I6JCKEtXVUXIYRGCP2AMV576hTyQAhJXVyEPl5ekiA+n+OPEHGpqtLsUSq1Jwgh97TE22AwZx44cH3a/PlVothYX21X1X6ro0fz3f7440JNfX3Lju44X08CgQfYDJPB1FhyriRFp9bxdI06rqZKw6MoirYSK8EYnyw8Uzg8fEC4a2BCoPrfjwZup/BEUeighJF5tji6gxBC9aoasZu7W1X//v2PtPW+er1ewKJY5jvN2zGaLXpBYGqBs198EaGtFKGtlIjDN3VX2EEIIdqs57m7efaoSxQURaH7pi+uqK2vmszj8kpbTa233ZW+sxBCDAihihsfF29+HmOM27pijBBicnLibfr008OPrlw5tVUqFXXpSqnGRh37gw8OSK5erf6EEGIzW1s4Cgg8wGY01TZtzdyUWcMT8iR6jV5pMVmqEEJlCCFECLGwOKxfz/1xbrlfrJ+GxWHB5qJtVHaxzEtXrRdOfnBuEdO13EmdssaVptu+jLm2ttajsbHRi82+84gQTQhiCyRasXckYw3ciNXMdnV273EvZCInseWBOU/WNapVj92Yz3PPI0Sdpb3L4/V609lt27JdGhp0M99+e1J9V83noWkaffDBAf/z58u2dOUk754MAg+wGYQQNUJo7+2+hjHGFJvyrius0xVnFnuEp4VDm/V7ZNKbWBlrM5KKTpWE9gtPvyoUCO8670LZUMfddWBjmJW2UHOnPnLt327fGbTaZlZNXZWwrLLQKyQ06H9Wzfyb8+cvjJKIXNWxEYl33G9Iq9dz2e5ODI+uEHy3SdeOLNAvWDd36iKnb3/7eAnG+O0bIzE278alst0CAbdSqWx54tVXxwlGjer87uTbt1+WbdlysVCl0u7u7GODP0HgAfZCKAuVLXT1dZXLQmQZTBdjTzI3ZiaWH6nyf+XRD3eGhUS1/PPrWZcz3Lfu+T1eb9TxA32D6/KLr4UEBYRpSisKZXFRSbV9Ewd2+YjI0lfvn2Rs1QsEQr7W19e3ze9uhQKhetq4+ZeGDxp/x4nNEqHQlHP+j0GENps8IocqEEKo9sruYHVpZkTUpDduG7Q7HSGYonrm6KROr2VVVJfyKYrlhBCSIITsIvDcZDCYLmOMX3/uuU1Li4uVfo8+OqiSojpnzntJiVLw8ceHWAUF9d911cRuAI0Hgf0w1ZfU7626VnXl1K+nunzfI0cSmBBYZmYbeSp1/V8N7yqrywUIIaQ36Kkvf3pvTIg8olUm9Sa19dXyZYtXHBo2YOw1QpDZ1yugWyZqctic1t4JvY6OGDF8m4uLy/+Esn/D43GNNbWVkrvdpm9CaoVA7N5Uc3lXP6vZwLIYtez63EN9/Pvdf7r9lbcRpujWVqPd9uFprwvZZ6Rvf/y8/8btvxwoKS94mRDyP52mMcZuYpFkIsbYZrfeIIRUX71a/daHHx68+vzzm4NVKm2Hm6WaTBb89tt7vC9erPjpdt8X0HlghAd0CMaY5eTEm44QoXQ60y5CSJtfrO7FjbbqG4TOQqO2QXt/V5zDUfnH+yvdQ90bv1v3ydATmQdKXMVS4/lLp3rxeYIWra5FwuPxyeihky97Sr11ZouZYlEUWf7uE0OHpI3K8vMJ7NJ34RaLBZ3PPu1hbDUKTSZTu3e+tlitbB6Pf9d3xiMGTahYv3dLitDVv1pxdk1v2mpmS3yii8pPfj+Epi1simJbAtIWHhN7RTRVX9wS3lyVG0hoM9tsaJaIZGFlwUMeP4cQQlVZmyIaCk/3ZnGFeq6TWxOmWNbQEU+fLtj3fjqm2FaTVuVqNRkEXvHjznpGD6+ovrglXN9Q4RE64unTFFfQ+tl3b4+YNfmBM+n9R3X7PBamHDi2w+1STuamVpPxtqu02Gx2fGRY3KODUkeIzl08OclZ4rqluUVzkBBic0v4CSFajPHqX345O/raterpL744umXIkIjGf7/n7X377Um/Q4eun9HrTTBy3cUg8IAO4fM5sX36BE6Pj/djr19/PhRjnIkQOtxl/TZowrOYLDxto5YrchPZ3JOhrRrwYNqpve/vG5t9/VxcgGdIZVhQlHrowLGXTmQcjBHwha3eMj8dQgixWCx6/9HtkWazqXXmpIX3NLm5UaPi7D+yPSgyLE4ZExGvuVt341u9/uEzaUWl1wLZbLZJ5uVZ7u/vX9aBh4gtFstdR6xFIonV31NWr+QH6hoKT4ZhimWNGP/KDjbP6SLF4hBVwQnfqgsbUyLHv3IQIYRMWqU0ctIbm1kcnvXqxhdn6RsrrmLMIqqCk4lRE1ZsYfPF5us7Xh/PE3s23DyHxdAkip781k6dskRSfHjVePewtPW31sB2kmoNqnqXDjxOu/TI/GfKTebWyU5CkUZv0B29OYEYY8xzc5FOG9B32Oj7Zz5WHxQQVj9yyCTutj1rZ5w+f2QQm835yWIx5zFd/z8RQqwIod0Y42vV1U2PzpnTJ/DJJ4dUikT8e24qSdM0+u67U35ffXVcqVCo13TVnmPg/0HgAe2GMcbx8b5zVqwYX5OWFqJWKlvSLl+u9MvNrTmP/r77cKcxao0Haq7XpGxavilk5NKRVd4R3s2w5cTd0RYa7X173yDSjAUufHek02s90/uPzkru3b86uXf/v815MZtNePfBTcnubp4KvUFP3W3C8t7DWwL+2P7LYDaLTYRCJ5x1+axO3dQgeGzhc/tuNve7k0s5ma4FxVeDwiNCL0ZGRuZ25PE1NzeL9Dq9pF+f9Kp/u21KfIpia0ZmqNg7qhizuebmqmueNZe2DLa26oUsnpP61q0mBG4BVVyhiwkhhLhObmqjulpsNjTxBS6+NVzRnyutJD4xJa0tyr9265b4xZdgikVEsrAmNl/SrK0rdLn1/DzXQKW6PDOsI4/XHkndPVufeviVyi9/XLnwfPYZLsZ4P0LIN9Av5LFhg8b6TJ9w/19NDN1c3E0Pzn2yLCVxgMvmnb/9x9XZ/Xd1U8MBhh/CbRFCyjDGr6tU2ilZWeWjX355rCohIeBfR7mbmw2st97aHbBly6XLJSWq7wgh3XLpuKeDwAM6wjMw0F02eHBYOUVR6NdfHzj3+OPrwgoK6uToDoEHY4wRQkKEEGKzqTCLha5ryxJVQogGY/xSq6517v5P9o+Vhcs8xz431maXWTPpyxlfzWfxKBMLsWkhEvHmTVt8IjI0vtbV2dXI4XBv+26Sw+GScSOmX8jIOh685D9z5yb36n910bynLlMUm7DZbFSnrOFxOBy6XFEi2rLr90HREfENMyYsOO0l82vhsDn0U8vn32f+l5EWhBC6fO28N8VCODAwsMM/u5KSkigfWWB9UEDovy4XHjVkUtmmQ7uSWmmlC21sdmopOsH1cJWq9ByxxTl2UkblhT8G3rwtplj//24dY0KIFSPUjjfhmEUQIhghhFyDkourM9cM1zQ18tp+IPvm5uJuenLRy4ovf3pv3rmLJ/yDAyNSZ09+0JiSOOC2K+tiIxM0YpGz+e2Pnx9+6+7stoYQYkQIreNwWFfKyhoWP/TQAL+HHx5QxWb/7+R0mqbRvn3XPL755qTT2bPFO5RK7bYbo0WgG0DgAe3G5bLC+vULRjdXKhw6dF1aXt7gJJNJktAtDb/+YWRCgv8sJyce0elaqZaWVj2fz/m5tdVy4V6f0AghFozx5orLFZctJsszTbVNsOXEbbj6u1Rz1EKfsMCo+tFDJ18ID4m566jLTaOGTMobNWRS3u6Dm2IOHNvRe+krC4JNJpPw5o+Hy+UiY6sRS0TO5JlHX9/DYv05B9dqtSJvLz/1z+u/GHXw+M6yFc9+eOrO55hYcvD4jqRDBw/NFEskDenpg9u1SkqtVkuqKmuCH1/40j01KnSWuFr6xfUuyC/MCZJHJJVrmhrF/fsMKdx1bE9kQ9GZqH+7v8QnVlmbs7efSdvAYwskpubq3CCe2OOvcN9cmRPskzC5QKcqE1uMzRKRLExjbdVz1CUZ0YS2YkurlkUThE9lHg2fPGZOWXsesz1zlriYlzz0Unl4SHTawNQRNZ5Sr7v2JPL3kes83GWBxWX5ngghm57QazZbr2GMX1Yq992XmVnW77nnRtTd2rPnwoUyyVdfnXA/fbqoID+/bi302ul+EHhAu4WEeKT17x/y1/BtamqwmqKO+Dc1GeS3uz3GWN6nj3zqCy+MMo8dG1t35kyxK5/PoZct+2PJhQvlryCEFPd6bkKIDmNcpCpXFRacKgjuM71PRccfkWNpVrT4xMrDtU88+NJ+k6ntK4PGjZh+rW/SoOKz54+GcThcs7Kh3rleVeM8f8ZjJy9fO+/v7xPYcDPsIIQQi8VCryx7f/f+o9sit+z+Pfmx52d7fvXB+ttOUvWW+Rt/+mz7msMn9/hv2v1zQnsfY1FRUbyHm7e6X/Lge146v+yRVy6t/v6/FI/HNw9KHVHy84Yv0pUNde5E7PevxxC4+encQ9Oy83a9PZnFFep5IqmaxeH/NZeMK3LX5G57dYLVZBB49550ksURWF2DU2qV+cdarm58YTpX5N7Ic/auKKmu9FI21HE93GU9bh6aWORsmTZ+ftm93JaiKBQfk0wu5pyLQjYeeBBCiBDSgjH++o8/LlzMzlbMTk8PDwoKklJlZSrr4cN5ytzcmk8sFvrKjd4+oJtB4AHtgjH2HDkyOrJfv+C/goaLi9Dy2GODq4qLla4Y40hCyF+TDZ2dBUt69fJL+OSTmS1paSEahBAaPjyqgaZpdN99fZ0IIa+xWNQGNptyMpmsxwghmn85vwQhlBSaGpoQ1CeouIsepl2jKau1qr7cacUHT01pNbVyPlzx/R9tPYbUzdM4YdSsnH9+fsTg8QV3us/g/qML9h3Z1kfTrHZ67PnZ0wb1G35lztRF/7MJIpfLJ0pVnZNQKPgrNK9bt+6BOXPm/HTz39nZ2eFqtdpjyJAht1067uvrW3j1Sm5aWx9X9tXM8Hdf/nKrzMPbWFBy/cqeM8djpYnTTrsE9K5GCCGfxKkFCKG/HmPUxNf23fx/WezoIr8+M6/TVjPO3/3uSLFPVOXNrzl5htSGDHvy7K3nwphCEWP/PgJVdvTzEdv2rot4+L6n/+d7C/4uOrxXi7fMLxUhdIzpWu7FjZHqcxjji3l5tbF8PttDozHUI4RybXHVWU8CgQe0i5ubU98JE+IRl8v+22Wo0aNj6levPhpfWFjvixDKwxhjFxfhSjc3J8GsWcmCtLSQv43iUBSFli4dVpmWFiJ55ZXtS3g8Ni8rq2JwYKD75YqKxh2EkNvOBXIPcF/mHektjxkRUysNlPaovYnu1cO/PLwuY31GmKHZwFedqY0vKL7mfq+XtTqCz+PT/33l6993HdjY6+z5o3GaZrXTnW5bVVvhIhAK292qXyqVqkzmVr7JZMT3ujrsVqt/eK/Xyas5obLUBcfEXuH3NEpUcfbXJH1DuS+xWllCaWClZ8zIsraeV+gdU56dlyFHCEHg+RdRYfEaicg5DGMssqfJvTdaaXTpvmGgbSDwgHZhsbBo164r7gkJAU03R2wQQojLZZMpU3o3Xr6s8MEYSxFCVnd3J6fISK+gZ58dceFOx0tOljfv2fPkpbKyBsGLL24JZbGo/2PvruObuN8HgH/uLhfXJm3atE3dXagXKVKKuwwZDMYGGzDG3OU7V2DCNgaMDXd3KNZCBerunjZpkjaeu9zvjw1+bDi0TeXer9deo+3l7kmaJk8+8jxu9fVKk4uLUNzcrD5qMmG3Pm0jCBJs72sfGjklsk7sKe7o3nvad1HoFCJhQUIZAABsyfnT7WL66UAPV98Lt09DdRc6jW5xEDu1G4wG7ZSxc4vveSAEERYL/lAFUBUKBTs9PX2I2WxmoCiqj4uLu8Dj8bTqDrXwix/eTWhTyGx0Og1z/KgZVyemzKrGcQz6Yt078XWNVQ48jqDTQhBQQlRSycSUWdUAAFBbV8m+mJPpayIQQ0dDrpDGFnZUnf9xiFnfwYVgCuYcM+cizymovebibxEwhWaWxs3PAwAAXVu1s/vwF0+wRG7/2o3jPfq11Id9fHiOQfUNxSfCMAwDFAr5Mnw/KIoSAb6hcGFprh8AINPa8ZD6LvIvjfRY2to0O8+eLXEdPNjb+/aEBwAA5s6NbmpoUCalpVUlQxDApkwJxxctis/+72jQf8EwDNzdbfW7dz+Xf/VqFY/PZ4ypr1fy6+vbDVQqxZnBQGl8PtM2IlI6086ea1u+Pc3zeqeBZiEABiiwEUIRA0RFjTCTamQK2VobRxu1rbutyinASQ1TBnZRcY8k96L0Y+ejfb2CXBOih9d09/VwHAenLxwKig5PLBLbOtxzYWpi9PDqjTu+j735NUEQlP3790+9+TWGYTSRSFQLAADXrl2Ld3Z2Lg8JCSnLycnxuXbtWlx8fPwVCEAWvV5L++6jjYeKyvL4a3/7JHliyqzqI6f2uCrV7ZwfP9+2p6W1if7G/56fAQC4Nc1aVVtqo1HLheKQcaclYZPKK05/H0/nOSh8x793Sl52SVKXvmVY0PSv9nbH40PjiPQEQsWra8s5d2v3Qfq3uEHD1OlZF8ZCEPTQmxtIpP8iEx7S46IFBjqKJkwIvmOKhMtl4J9+OrnWYrEAi4WA7rY980FiYtzVMTHu6t9/v2wfECCJ9fKyi6JQYILNppuHD/e9bmPDwgD4+421oUHFbGxUsVpbO1hyuZYpl2vYjU1qfmNFk2PRxWJOgR23esybEwb0J8PYWbHleQcLYhqb64Tgnw703Snj+iVpXUM1762Vn5W0KWRUDDPBAPy9WPn242Iihsh++fNrmkql4vD5/E4IgrDJkyffSjJuruEBAIDOzk5xQEDAaQAACAwMLC8tLY2m0+lGAlgQP+/gBgShEEF+4Uq9XscAAIDSygL78KCoKgShEI4OUr2zxPVfNYdOph4cRGPyOiRhk8oBAECvarR3H7r0FAAAiLwTmxqzdtFNOhW1ux4jCKZY9EYd+Rr8EPy9Q1TuLt6utfWVngCAO9aDkUgPg/xjIz0UCIJsAAB88HcNHdTHRzxu4cI4XmCgY8O9bgPDMIDhxylc8v8WLUpoud/PEQQBLi5CnYuLUAcAuGMNRlZWjXDBc1uHWTBL5kAf5UFRilnV2c7siWvR6Awzk8ECz66ePoeK0gAEAWA0GaG1n2zZzuMK/lWFG4Kgx96xgiAIDgBEwDBy6xzEP085giDuW5FSYi9taS0t8CYIC4Cguz83IAgiAARbbj8XQeBPPCdoseDAYjagtkK7PtVA01pgGAbD4kcbSsrzRwEy4SE9JjLhId2VgwNvIYdDZxEEoadSKcIRI/x8pVIbi1DIglAUAdHRbqZx44Lumez0FpGRrgpXJ4Hxyp+XfRMXDu51Jep7CkyBQfCUoGtX916Ir6mvkHi4+DbL22UcrUED+bgHtnq5+TUF+4U3MxisLimCFh4U3ez2xpo9+45ujXCSuLbnFWW7VdWUCYvK8gSxkUPaDp/c5Xr83P4Ii8UC2uStzufPnx/V2dnpDADAjh07NnrMmDEn/ntOLpcrKyoq8ggODi4vKCjw5HK5LQiCEGaTiZZ65UTIzIkLy25fD+PjEdiSnpXqPWPigrJWeQu9oalWEh0OKjKuX7ZVqhWCV1746Ejux0v98v58/jnJoJkXGAKn5raS814sW/frioorDjBKN6AMnpnKFmk6m4qkAACgqssRYQYN50kfH728RoDCAPvviBfp3qLCEloPndgZCUGQHUEQrdaOh9T3kAkP6a7YbHrk8uVJHHd3kYbNpmGxse71D1qD01u9tHxY9qrX98W1DfOrs3W1HbA7uqKmRVUzOAxj6cVSz+uyywidR1Nw3bkd2Y0XeJfyT4aA3XC8xM5ZPX3sgmwKglicJa6qJ0mABHyRcdGclWkabSflwLFtkb5eQcU36+WMT55RMz55Rg0AAMx9IXk2BUUwTacGNmNm5r2WaERFRaWlp6cPqaysDLm5aBkAABAKolV1yFm//PF1yAuL3si9efz45OnVhaU5jstef2qaDV+oFts5trJYHFNUeEKbgCdU2vBF5m0/HPn5/a9eSqnK2jFYEDD2WkdDnn3+rlemQTAFk8bOPw8AAOKAkVWq2myv/N2vTqVz7dsoDK76cR+Tm1R1NzzdHBzJN+1HQKXSLIPjRuFVtWXDAAA7rR0Pqe8hEx7SXXE4tM7Ro/21Xl7iPp8gjBjh1zRpTGDj/nWn46Z8MevMQJ7aCkoOagpKDmq628862jqoZ9adGfTbX9+OVhuUGIqghIAjMtkK7A3Pzlt1msvmmR/nmnKFjIVbLADDceTT79+Ikzq5t8+dtuTWaJvBYOBo27WO76z66o8/dv0U1yyr8zx06NAks9lM5XA48pEjR54DAIDS0lIvDMNQgiAgBoPRIRAINAAAwOfzG+h0uu7YuX1Dr+df81+x+O0jAACg02sRk8lIQVEUa1fJeZ2aDrafV1BqatpJB5GNnVJs62AAAIDvPt58JDv3qvCbjV8Ps/EaUWjnP+Jfu8oQKhP3n/TRsce573dj0ipp+sZcl3Hznr/QVeccKBKjR8hOnN0/HIKgIwRBPHY5A9LANHBf+Un3BEEQBUURWxcXYb9ZX/D668kZbjZM5pGPD8RjBozsNnoXXFuuadhzw7IVhKzTJpBXyXCj1le3l9Lqm2uEep0Wvf3YWUtGPLvs9dlTn391xvS3P31xhEbbec8PT65STzWfK9DWN1Z5tqvknqdSD0Xd/NmO/Zs8zWaMNXnMnNPxUcPaZk1cmEGl0HEYQmgSB4lMo9HY1dTU2AMAQEhISOGkSZP2T5kyZbfFYqGUlpa63DwPDMNmfz+/a1QqVbtpx7qhAACwYevasLrGKonFYoFx3AITBAFzOXdP2iJCYhQrn155QV1yOtTQIbtn3aAnZbHgoDl7d7yng13ro1SHJv2Nx+WbYyIHo3Q6I+rBR5NI/0YmPKS74QqF7DuKCvZlbDYd/+Xnp05R1Vq3tK1pPk9yrtaqVlb2wWxpcWqxOP9kvkTZqKR3VZzWJnAUGGAMoaANbDe0heXCgrhIYtTwfLGd5F8jfQhCwX76Yvve9V/t2o0giGXH/t/v24dKoWyjv7ny830wjECAIMC165dsi0rzeMfP7o12cXZvXDJvVS4AAMAIAlylnnWfvvnzYWd7b63JaOYVFRUlWiwWUFtbKzl48OCkffv2TVMqlRKVSiW4eX5XV9eKgMCAbL1Rg6o7VFyFso1aWV3iRKP93faBSqViDDpTX9tQxb5XjNHhiW0wBOEAQN32vG/K2hVD1zayXnn+3fQHH026GxqVDjAMI1szkB4ZOaVFuhtUqzXe842hr1IotDSt3gzcvMR3rd4MAAANBQ28w58cGkOhUsxDnx92wSvW69an8A3z1s8yGzEqi45aHEQsyMRlqCgU2HL+YDZTFOmWN/iZIaU9c0+6j06lo1iMFnpkfGzBpJSnco6d3RuQGDPyvrtiPN38mhuaaoSpaScdjp/ZF/LFe7+cAACAz9e+Fe/q7NGm0+uoOr2W9f6XL43T6TQ0JpOt++DLVc/YCERylbpdEBYUk/bh1y8Pff+Vb1MV7a3M2vpK58/WvjWGSWfqA33DyytrSxyLi4sDCgsLw0eOHLlPIBBor1y5EoHj/94tRafTzb5+PtkXLlyYWlSaxycAAa149p1T/t7B/1pzk5p2knGv+2Kx4BSEynisqbsHab6xPxxuK7T/cPUXJ234om65xkBQXlVswTBzjbXjIPU9ZMJDugOKIv40GoVm7Ti62vdrzkbBYl6Nz2CfOxaLahQa9PqB6x5V1yq8A12FKAEI9Mb+7CCvWK9zAPy9voVLRymR0W4dycn+hcnJ/rUiEccEAABpaZW2r791YMieN3Y6UGiomS1id7pHezZe2Xgxliliq2ykwvboGdFlJr0JqcyoFPsk+DSzhexe+YZHpVNxKgvtRGAERxAEjB81oxCAv+sdmTEzTKfR//XJ2mw2Q0WlOVJ/n5B7Nn595qnlBVcyzgV9+Nr3R8S2DgaD0QDPf2HssxQKio0bNS1NZCNuVXe2OwEAwNlLx0L4PBvVz1/u2LN93wafo6f3xIYHxhTnlWQGEAQBs1gsg8FgQGUymbtYLK66eY3a2loPDw+PJoIgDHQ6XbV559p4d6lP66ETOwJ9PQOvwDAMsnPThREhsfdtrSERiVrlxWeDHMImXX+yR/LfmnOPhJjrM93eeeG9004Sl34zVdzT9AYdUt9UYwEANFo7FlLfQyY8pDvguAVxdrbBHnxk30KlUkBnjdy1Oru60C3CTXnz+yadCd65fMssWwGTcBexwLq1Mw82NalZL76yJ96CWcDlPy751VwoiRgU6qzasGHuUSoV/deUR1ycR9uWTU8f37v3um9Li5p34VKlW25hY7CQiiCd9Qo3nUrbfuJGTZDRiKECLh3Iq+QFyauSc3r8AXgIFDqFiF0Sc/nYD3uTM3PT/Dgsrn7quHmXdxzaGNcmb7ERiyQdQoGtCscxyrLXZ08FAACpo1vLjIkLSq5mXxQ/zDXoNLrFZDaiKIqa84tvOGg0HZ46vZa17PXZwjZFi8jN2asWAACmjptXvvPgplHOjq5Kja6TWlad73To0KHpdDq9k8vl/itpRVHUeOjQoYkYhlFjY2MPKduV0rLqQjd7W+eOZa/PngYAAfE4gs6IkNg7trvf7qmJ83O/2fzD0E5733qOg+8Tr7GxWHDQknMoHG/MdH3j+TfP+HoFkq1QnkBFdQnXaNRXEATR716fSN2PTHhId7BYiE5vb7t+98I8dUpY4ZWrVeJzP50dOnjxkMu12TX2DfkNrkBr5Dnbc8G7b49JHTXKrwFBEJCf3ygyGTDa70//MhuFIMRDKoC3bV145F59qNzcRNpXXhmVDQAAJpMZevnlPSOuXKkUDxninf7DDzOzWlo6GTdu1NnW1Sn56zamubbVtJX11i3ynjGeivaG9vTS86U+FZUau8aNdePaTTITW8xuKVXksYk64KzT6/h//vjHBhSl3kr+KAiFsNxWoM9sNt2zQB+bydH+9fPxTQAAsOvgZq/i8jzH91/5NnX+i2Pn/+/NdaduHsfjCNSzJi8qk7U1177+8bPi8PDwNGdn53/tMhs/fvzh/55fKpW2UalUQ21Nvd8ryz4+Hegbdmtaa2hccvPQuOTmu8UVHZ7YNq68MP/I1Z2DaUkrjlBZgnu2xXgQ3GyEmzK2JVBUlYL3XvzwNNlC4snVNVRxZG3NZMNV0mMhEx7SHRAEorPZ9H63oJ3JpJp9vewMCoWWc+mHM6O5LCoR4io0Jo/yz506NbxMLObeenMbOtSnITGmsK2+vl2s05stx4+9+OfDNt38/vtz4ZmZNZwPPxx3asKE0FYAAHByEuidnAR1OI7XyVo7mH++v2/isJdTjtm522nktXK2U6DTE9d26UpR06Kqo6ZFVVswCzjz85mQuFHjqiQ+kk4LZgEXNl7wv/rn1fG5hVkOkaFxt5IPJ4lrZ7uyja836BC9QY/UNlQ5ern7tQAAAIpSzZ0aNXpzKziDwdQXlNzg+3kFqXMKM11pVJoZAAAkYmfZgePbPWZMXFC+7+hfnhJ7aQsAAIhtHYzD4sYUXs46Fe7o6NgEww9+evr5+xUaTUbGz5u/jPvx8+3HH/a+z5/5fElpTYltTfbueJfBS8494kMHAADA0CFjNV3bOtSWYjS/88Z3J+7XT4z08KRO7p1iW0kiBEGn/+lGTiI9NDLhIf0LBEF8CgW2NZu7pOBurxIX59EWF+ex58aNOsHSF7aPtRAE2LF98V4Gg3rHjg+xmGv8Y/OCk0VFTbymJjXrv9NY97N//w2/SZNCM24mO7dDEATEx7k37D+U55nx4+nxAIGNTBoFukqADobERg4AAE4Bji0h40J7RRVrmAKDUctH5d7+dfzc+JKrf14dX1ia63J7wuPq7KH19wmpWvn2/GkCnlBtJ7KX3/xZdHhi8Zc/vJvCYrJ133286ci4kdOvff/Lx6M5bK5WbCtpN5oMKAAALJ77UtpPm74ccv7KiRAmnal/cfGbt2rVDB88tubUhQMRHR0dHD6f/1CjJY6OjpU3WnKdH/V+r37unasvffTCWHnZJU+Rd2LFo9xWWZMlVeQdHhTq7tr42rIPr5Ld0LtOkF+4Mj4qyVWhbB0BAHjoJJZEAgAAiGw8S7oJgiBfV1fhC3Z2HB6NhtJee22UfNy44H5ZK6S2VsE0GjHE21vcpdMMaWmVtitW7Ej++OOJJ1NSAu/62BUXN3Nffnn32LffTjnL4dDN3t5i9a5dWd6lZa02+XkNrlVKfdv0b+ec7sq4upKiTsG48seV4M5SndeaD7Zs76p2FA/y+7a1AVevn/UYPmL4oYe9TUNDg6SkqDxyw7f7H/o2Nx09s1f6x9EDg1xGvXIQpbEeuGbk7/U6ByON9ZmuM0dPyZ6UMrv6Ua9JerB2lYL68Ter7XILs94iW0yQHgX50YN0u6qaGsUGlUrnrdOZJKWlsqhx4+5syNkf/NNstMuo1XrKxx8fGXzpUoVo8GCv/HslOwAA4Ofn0HH8+Irtt3/v6afjSvR6Ezx67A/2vsnBhV0ZW1dqKW9hH3nn6CQ6hQVsuCJzTyU7AADAYrBNBoPhkYoCms1mGo5jVI2mA2GzuY8U69gRU+t2HvortjX/eJhj5LTM+x1rUDWzm7N3x7PM7egbL75/ilyc3H1s+ELTmBFTiZbWpgkAgA3WjofUd5AJD+kWgiBMAIBcAEAuBEGRGRnVg6wdU1/xv/8dTTh6tMDxl1/mHBk82Fv54FvcqaPDgHZ0GlEfV2GvXdzaXt/OFnLE5reWf3nITiTu0e3VU8Y+VXHkzM5Ig8GA0un0h1q/gWEYxWgy0jNuXBEnJabctaXG/RjNZirNgt3zddJs1FLkRaeDtbWZHmFeXrUrF3+exWQwyaJ43SwxZkTz6dTD8RAEHSYIQmbteEh9A5nwkO7KwYEXHRzsRL5wP6TSUpnYwYHX/rjJDgB/rxuaOimkcuv3p4a7DffPjZoWZdUpEVWzinb0i6ODmTymbuiSodkcIceYuTUryp7pbOjpZAcAAOqbalkQBFlQFH3oLclUKtWIoqghNGjQQ49UtqvkqLpDReVx+SYGi6diOfjX3P5z3GyENa1ldp2NRa6GlkJHey6r48VFq85FhMTct8YPqevQaQzL8MFjsNqGytEAgD+sHQ+pbyATHtIdJBL+GHt7bsTo0QHyBx9NAgAAGIYwOzv2E09jvPP2mCyJA0/74y8Xo2o9xCqXMJfHTqDup+Z6jf2FXy+OsPO0lblHe5T6JHrX/feYv1ZsnSHhSAHogMCB1Yfd6I5oM2JAuS8sfeNAd8R0PyaTAfr65/eG2DuIaxEEeeiFhy4uLnXVVTX+Zy4ccZkxccFdFx9jGAZS005I0jJS3dsULSKLBWdQKCiG4RhF19nO12T8xWvLRo0ARiwAEBCBmVAGlapzd3SSp8xfejE6PLFfTvv2doNjR7WcSj08BIKgYwRBkL8D0gORCQ/pDkwmNW7Bgjg0LMyZXIfwkDgcur6wsNklJORjFwAASEkJyPn88ykFj3OuZ56JL95/KM9N1axidVfC01jY6ITrcdCQ0STuaOpk3p7wdLR1UHETDtMZdJ1ELDW9svTDwy+/v3Ceuc3kQKfRIEcHqaY7YrofvUGPdHaqeA6OXvdtc3E3XB5HlVec7ZyXd8kJMxmQiEHJNRNHz6iyEAS0Zdf6gILi624MOhMOCRzUMClldnqAb6jsZgkCo1EPafVaik6npWi0nSgAADg5SLWPuh6I1PUYdCaelDjGUtdYPQoAsNXa8ZB6PzLhId2htbUzY9++G95xce7cyEhXMul5CJs3P32soUHFrK9vZ3/00dGUw4fzwlQqPf2HH2ZmPc62ZKkzX5dV2CAOGRPSpdvTlU1K1vmfUgerm1RCvJOAEZiCwzSIatKZkLzjec5lJyoCLUYLHcNwlAYYyMJZy48hCAJWLHr7CIfDN3RlLA8rryhbsHnnDxEEsMA4jt/xYNbV1TnpdDqOu7t7OZVKxXAch6qqqjxxHEfd3d3LqFSqvqrketA4KZ7DY0G6jPM/+508uj4WQ/mot2dw88xJz+TGRAyuvVudJRqNQdBoDPM/va/IlhC9zNC45OYzF44kQRB0nCCIe/bII5EAILelk+4CgiBYIGDOCgpynOjjI4Z//XVer9011BuVlck4zz775yQctxBhYc7F69bNzn7Uc6SlVdouWb5j6KiPph7k2nJNXRLXlTL7rF3ZsS507+bkIZPKYRi2ZOenSTKLL3tiqAkFFMLswwvFJoyacVWpUrBKKgskC2e9eLUrrv04MAwDG7auCUrLOuvr6ORQ5e3tnc9gMO54LK6mpw1tqyt3Rll8ndTdq6ylsV6KaOWAChNmNczhEBYLFMHV1q8cxLl28zavXjQm+8XMNMyfsezCwxaUJPVOh07udN6y8+dTCmXbTmvHQurdyBEe0h0IgrAgCNyiUuk6GxqUD9UfifT/vL3FnYcOvbD9xIlCl08+ORbb2KjMd3QUPFLSEhfn0TY0zr3twi/nw8e/M/GJkg4LZgH739w5HNUZHSlaC9qkrAZcNq/Qy8OvMywoSrkYvFT406YvQ3IKMyJHTZhw1NcrSAEAUMQOGnrHup6ekpZ53u6vPesjzbgRCY8ITbW3t7/nGg07sX2tsbWGleKoK7xUfcM9lEM0PBfDyqXAMLhcZxADAECClPOvnTwaiMMdNXTiFTLZ6fuGxY9uPnvx6EgIgk4SBKGydjyk3qvftQ8gPTkIgiCLhQDDh/vxv/lmeom14+mLeDwG5uws6KDTKWDLlquuj3OOZUuH3AAylfT8+nMBmAGDHnyLu7NgFohQ68W7ti/e98UX40/7BtCgL39ePamhqZZx85gl817OpaF0uVanoT3udZ7U6QuHJd+u/3DQJ9+/Frd+y1dDRGJB/dBhQ47cL9kBAAAnJ6d6A8qhEgSAvh7KPvdCBCeX8k/riQQpXZYgpd9t2zKB4xj5+tcPcNg8bEjsKIjPFQy3diyk3o38gyfdjVtYmPO8oCBHhZ+fg9bawfRVcXEebS++OCxj//4b4Rcvlgke9fb+/hL15/+beFms07vsW711wuFPDkYf/uRQzI3DN6QPmwAVnSuyP/ThvsF0GgIsFgIaPz6k7o8/nj4YF++oOHhiu+/N4ygUCogKSyg9cW5/sNlseuzk6nFV11Ww/tr7S1xNUzFXrWvFB0VFnPP3989/mB1ZVCoVs3eU1mXIcJeHvZ4I7mg7cW5/MI6Ta4/7g6TEMS2ODi7JEARxrB0Lqfcip7RId6NzdRUSCxfG3bWjNOnhzZ8fW7ZrV5Z/enqV7ePU6Bk50r8pKcmnaf/+HLeCgiZ7giCgjOzq0APHcqJhLlPuECKti54RXQlT/v7skrHrmltDVrUbMGE0ixmnCTk0eE5yQN2sWZEHblaXZrPpuJeXSPnHpkv+ALxx4+a1Zk9ZXPLaR0vcj5zeEzx5zFO59wipW3z364cJdmJhQ0RExGNN3zEYjM52DLZ52OOfC6JkfJF5ZOTvBJGwaO6qy+TUVt/G59mY46OTKHWNVYkAgGPWjofUO5EJD+luVPX1SsRkwiAqlUKuan8CGo0BQRAYqa5W8B73HAiCgGnTIqqnTYu4VYiwqKiJd+ZMidupM8UBe1f95Y1yGVpMY2DZsWmMF5+KLHV2tlHzeAxjZKRU/t/GpziOg/p6lQBB4H8VlqRQKGDcyOk5x8/ti56QPDO3O5IApUpOq66tEIaHxDQBAEBJeb7wyKk94QqlTDImNuXU456XwWBoDBaI+rDHO3Ep+ncisZOfZR8e/qNRP2zpwtdTUZRKPtf7sGHxKa0XrpwcB0HQOYIgrLKjkNS7kQkP6W5YRiNmVii0qIMDr0t2CA1UJhMOy2SdjPHjQ7q0/L2/v0Tt7y/Jef75xNytWzN9tFoDzd6eV5+U5NtgY8O6Z9sFubyTOnnyrzNlzUYwJGbytf/+fHDsyKbDp3Yaf93y7VAqjWYK9guvGxSW0GVb489cPBpw+sJh/9FJk/LDg2Jq1v3+WQqTzmqFAGR6lIKC/4UgCG4moEd6PROzKcYPoy2nPrh6auRvWyiJzy147SI50tN3iW0dDIPCEuzrGqujAQAXrB0Pqfch1/CQ7oZpNuNYZWXbIzVqJN3JxoZlDg52bDt2LN+jO85PpaLEwoVxJS++mJQ7bVpE9f2SHQAAEAiYJipKMaEo867NUykUCnhx0ZsX1Z0qY0NTLXro5K7QrlznEh4UU20hLODMxaNev2z5dri3e0Dxh6+vOUMQBGEymShFRUWBVy5fGW4wGNBHOa+trW2b0QIz1QbLIyU9PDqMvRuNnCnJOcnbfWhzxKPdG1Jvk5Q4pk1i7zwRgh4t+SUNDOSTgnQ3jZ2dBn1rawfjwYeSHgSCIAuNRnmoZpfdDUEQ4OkpVLa01NvlFF52f2rq4rL/HuPh6qN5Y8Un6eoOJeWdz5aPWfXugpmBfuENi55a8VjbuA1GA5xflCVpV8nZ+cU3nJh0lnrh7OWXC4qvi2dPWVxisWAQIAB88sSpWXyuTXtFdXmgg8Shyt3dvRoAAHJycryVSqXtsGHDrtw8Z01NjUtTQ50bglBws9lEZbDYWoIACAKDRx4lsmEg5hcCTRfWXNg9ysXJo82a2/FJT8bV2UMbEhDpWl1XEQoAyLJ2PKTehUx4SHdD8PlMVmSkK1m5tAuIxdyOoqImscFgguh0668TEYrYWk9pdMlLz7173zcEHleAfffx5kP1TTWs79Z/OOKvPb/G6g1a1NczqFFi76Si0xhmRweXjrslQcfP7vczmY0Uo8lIzc5JkxqMBoxBZ+hcnN3bPnjtuyIbvsgcFhT1zyJuCjFr0uJLAAAwPnlG7fi5Md4ajUYAALhn89SWpkYpIq9kewkoDRwabKhTEAInIShkU2mPNRzlK6J2pIg7svYe3DAowC+smcvm9YoElfTokhLHKm/kZ0yGIOg6QRBkA2TSLWTCQ7oDQRCEo6Og4NtvT0d9//3MuzZcJD28l14afj0vr2Hchx8eDfzss8n5PXntiopWxiuv7ImrrpbbUigIzuHQjRqN0aa50UKAh/gETKFQgJvUU5ucNOnG+cvH/SQO0vZDJ3d6mzETDcdwVMC3MXq6+crpNOatBIHJZBmOn90fZCu0a6JQqPjQ+OTslOFTbo2abNm13o9Go2EzJy681RdrfPKM2pv/RhAKrtFo7rrI+8yZM0NFIlGzzmAUETiFuNJoCts2UbRJbbSgH15SjVp2QuFmIQA8zouROc6TWVuhNHO+TO9IceYiLQ2duJhNhbUfDeadZKEwntFktN2YqxmCIpDZhUtpKVeapQJ2Tfv36z8codPrLLgFh9UdSm6QX0TF8sVvZldUl3C+/um90eu/2rUbAAB+/fO7YKPRgC5f/OYjV9ImdR9fz0C1r2ega11jtR8AgKwST7qFTHhId9XUpPqruLglzNpx9Ac2NixzZKRLc0ZGjW1PXtdisYAFCzaPSk4OKDtwYNlZAACYPXvDuFMnK+lSR89HmrYZO2Jq3dgRU/91GwzDwJlLR50KS3IkZlPTrdeSDo3a1tnRtfrtl75Iv9u55s94vvh+16JQUHNFRWVoS0uLEIIgAsMwmkgkqrVYLMBgMPCrqqqlDnbOijai3R4QRgIAAJgUCHsvgX+KT4fNMi1OfztVNWmMB6MWAADURgvveU/O2XB76sW3U1Ujjlbo3Wf4scp/z9UMnR/EuhjvRJd9c60jCgAARjhZinc0VAw3WwDx5Xu/7mYx2djq95+ZknH9cp2NQETu/OkDYBgGwxJSNAWlOeMgCCoiyP5JpH+QCQ/pXlQKhcZCbk1/cmq1nnLsWIHn+PHBGT153V27siUIAlvefXfsrQSjoV4l4HG5aoKwIG99+sJIuaJVYG8nkX/w6nfnYBgGP/z+eXhJRb4LhpkpThLXlrdWfn4JhmGw6t0F450krq3VdeUSk8lInTv9uQuDY0a2JEQltVy+etpXoZTzhQJbpbpDyZk3/fkrUeEJbXOWjl44KCy+oLSiUEqhUPC3Vn5+0kHspF+34bMIGo1uXjJvVd7dzkuj0owOYkl1q6JJiGEYgmEYo7a2Nubw4SOuBr2BHRWWmPfmys/SP/nm5eTs7NOeAABAAAD9fL0zqlaNOUAQILRmC6tZgzMAAIBDgzvC7akKAABw5iJtbToLW6HHqWYcoPFOf1dhTnKlV5S1m12GutCaNpWqUalbYIOdyN4IAAD+3iHV+cXZ9kPikmt68vdHenxhQVEKqaObX31jtRQAUPvAG5AGBHKXFumuCIKwYJhFVlnZxrR2LH0dj8fAJk0KLT58OM/vyJG8HhvlKSxssvHwsJXf/Pry5XI7CIYAhYJY2hQy4XPzV6f9/OX23Sp1Oyct87w9AADMmvRM4Q+fbd2//qtduzGzmXL83P5b1YstFgv0w2db908ZOzft4PEdEQAAsG3fBn8GnWX8+csde2ZMXHC9TdFy6/5hmBn1cvdv/fnLHXtdnT2b9x/d6gvu4m7npaJ0WKvROogEYqWQb6cGBISMSJxwIzQwutjXK1AGAAARYYm1BhymAwDA3hKdp9ZM0NeOstn382jhXgYK6/QYQQEAAAQCt9ZxwBAgLAQBEwS4azVpCgwDBOAGs8n07xYbEESgKNVy+1gBZjaRe9h7KQShECMGjzNIHd2egSCoR0dWSb0XmfCQ7kmjMVZWVJBb07vC6tUjssePD2r+/PMTsdaKoaZGwVfKYe2IhClZYltJm4uTuxZBKIS9nUTR1FLPAQCAtMzzkuVvzp30/Kszp9U2VEnqG6tvtcSIGzS0GgAAQgIi5R2dKg4AAFTXltnHRQ2rBACAYP8IpVBgq7h5PAwjeErS5FoAAHCTesoVyra7lv3/73mNJiOtvrHaKTw4tuSXr/ccGTV0wg0uh6cO8g1vs7Wx66yqLbcFAAC9wWAkIIRSp8aYOoygslDIQEUgy/lag0Rjsty3xYCIiRhRBJjTGox2AACQWmvwAAAAE2aBcIDQZPImG7milabVaZDi8nzXIN9wmYOdo15v0DJa5S00vUGHFFfkP3QrC1LPGxI3quWZp1bY+XkHf0ShUAKtHQ/J+siEh3RPjY2qmoYGJbk1vQsgCAKGDfOtNpkwbm2tokcadPr7OygrK9tE/x8DbOFxuR22tvY6CkK5tZsJhhHCYsEhvUGH7Dv6V8LqZR+eXv/Vzj3hwTElZrP51igGSqFa/v94CwQAAARB3LPvFgzDFvifJp4ITLFYCMtdX2/+e16NtoPHYLBAQvTwO9pbTB47p6SmvsLhxTfnTK6pK7dFUZo5q8UkHufJqGjS4KIXTrZPvlRv8OTTYNWDHp8FwewLW/I1g5efap9IAADREMi0KV8XyLdxMEod3Rq//PGdYaveXTDN3zukOio8oY1KpVmGxo2+/vanL0x+57Plo0U2dg+8Bsm6BseOlL2y7ENtbOTQ1wQ84Shrx0OyLnIND+meDAazorpa/uADSQ/l2rVqR43G2GONOWfOjGz84Yfzgz755Jjv22+PKVEoNCydDkPzi65L7na8Tq9FAADAVig2qDtUaGHpDfcAn7Cq+13DzcW7JT3zvPuw+NFN+cXXBQql/KH7Wd1LZEjsNQBB7KycK66jhk5oCPANaztwfAcOAAAOYif9uk//OnDzWAQimO0NR9liFmJYN8rm4N3O90uKcPfNfy8J4+Td/Le/CFWuTxHuAQCAn693htoyYUWORuATEBxW3qlRU99Y8emV/57rmaeWFzzz1PKCJ72PpJ7jJvXSrF76ofHztW8+haLUSrPZVGntmEjWQY7wkO6nLiennlyw3EWWLh2c6+oqNI4b98P0zMwa7sPcZseODMn77x/2xzDska8HwzDYuPHpUxkZ1U4hIR/NWrv2fFSTrMlBwBdq73a8UGBrCg2KKnnpnaenf/TN6lEOYufWB13jqSmLCjU6DWPpa7Om7T3yZ4jQxrady3mydiTB/pENCIxYHua8HI7A1GEk6I9znTPVBunSE4qpzx1XTK9SYfYIAuNe3lHtQoFI/STxk3ofHpdvfmrqs2qpo9vzEASR6xIHKIjcsUe6GwiCYJGI/ZxUahN16dKr9UwmlSzg1QVwHAerVu1OamhQ4vv2Lb1vv5+LF8sEy5fvHMvh0ACdTpEfOLDsFJtNf+zfw/r1F4N2/NVg8/7qH7uszxCOY5DJbIIZdCZeVlnE/WLd22N//GLbTjqN8dhxVtdVsD5b88bkj15fu8feTmK433l3HdwckXP2J76ICantGHDnvEBm6eNcs06NMT/P54x9ecU3ZzzcfB65qz2pb9h9aIvznsN/pLUpZBvJ7eoDDzmlRboXvouLTbRIxBbU17e3+fjY37X3EunRIAgC3ntv7OVFi7akTJny85Bt2xZdvFv15fffP+x/8GBOeEpKQGVgoETx9deno9RqPYXNpj/26AmVimAWAu/SUV2NVkN5+9MXxuEWHAYAQDMmLrj8uMmORtOBbNv/u39uYaZ3sF9E/cffvJLyz7qfe56XwWAaVFQnB4hjL6xqKTXNA+CxEp4NBeZBoWHDmshkp3+bOHpmY3lV0ZAL6adyAABkwcgBhhzhId0VBEEwAMDLwYE3ZP78mMGvvZZcY2PDevR5FdJdtbdr0Rdf3DEyN7deuHr1yAvPPBN/q6ifSqVD4uK+eMrJSWA5deqlrWlplbYvvrg92WjEiBdfHHZl6dIhNY9zzb/+uuq9/odi549f33C2y+5IF6hrqGLuPvRHQGVtmYvU0a1zeOKYwkfp0I7jONDqNejr78yZ9m20dieTCj9SwnWhTm+/v9U54b3Xfzws4IuMj34PSH1JfWM184t173CKynLfIQhC8eBbkPoLcg0P6a4IgrAQBFHa3Ky+vGXL1dajR/PtrR1Tf2JjwzKvXTvjjJOTAP/jj/TgNWvOehgMJmjXriyHCRN+TElI8GzZvfu5nQAAEBfn0TZjRkSJp6ctvmlTWrjBYHqshc85OY0SDMd7zaguhmFgza//C/9i3TvjGHQWY8Xit86/seLTk4+S7ADw96gZl80zc3kifWbL39vMH5YJs0D7qqmRScOmFpPJzsDg7OimmzzmKVhi7/w0BEE9tomAZH1kwkO6LyoViYuNdQ9JTPQkt2t1MZGIY1q/fs7BQYNctdu3Z8aGhv5v3vffnx0+ZUpY/c8/P3Wax2PcGlF7442UrN27l+yUSgXY8uU7Ix/netlZDaKwgCG9ZofK979+HCWTN0tXL/vg5LJnXrvo6xX0RJ+2fX3CZVeaLG6PcpvvsvWDRC5hljHDp5I9lwaQYQkpzf4+ISEIQvG3diyknkMmPKT7QlEkt7W1s00qtSH7CHUDNzeR9uuvp53ftOnpQ6NHB9atXTvz+Esvjci9WwdyKhUl5s6Nzrt+vc5748Yr0ke5TlZWjRBBIICi6GN1E+8ORaW53vGDhpW7u3h3ya4oF6lXqxJnsh/2+N9ztQGtVE/nRXNXX7jb403qv2AYBhOSZyqljq5zIQjqNaOepO5F/qJJ9wRBEN3JSTCWRqNQVSo9hU5HLeRure7h5+fQ8f33M1IfdNykSWE1RiOOfPfd6UHDh/vKXFyE952Gkck6aF98cSrqQmqNvYtDZGXysMlP3FeoWVZPz8xJs69rrBa0q5o4eqOCbTLrWAAACIYQMwKjJgShmSkUuhlFmBidyjazWBwDYbEAiYNUJeAJDVwO38hicTptBLadTxrPTbZCcafBQmEAcP+cTqbBaD/nmaM6GZ7iJQvfPO8gdrrrNn1S/xboG6aKCIlzbWltigMAXLR2PKTuRyY8pPsxsVhUsZOTwDJmzDqX5GR/4sMPJ9y3EB2p+82cGVl5+nSRx1tvHYjcunXRHcXxbldc3Cw4cbzM5eUl3x7wcPXRPO4121Vy9OipPR7FlRlSzKIUuLoJ1O4+fO0wV1u1m5t/jY+PuJ1OR/G2tk66QqFlqFQ6WkeHgd7RYaB1dhroKlUz59CBEt/6Zlc5DMGY0WRE/b2D26LCEh6pa/v9OIidOiwUNuuNy4oRXmxD8zRfZimLCrASOcbLaDY6NWhhgcrC4ugBl+sfENvywpTFR0Q2duTI5QA2IXlma35R9gwIgrIJgiAT336O3KVFui8KBRnk6ipc4OoqdFi1akTL2LFBDyxGR+p+GRnVwpUrdyZ9992MUzEx7vedElq4YMvIDrmL/MVFb9140Hkra0rZNxMjnV4Hnzy/3+VGwSU3raHF1t/fVjV0mGf9pEkhFSIR55G3x0eGfz8p2Ge4bNr4eRkMBqtbptbKKguFVTVltpfST/rX1RYJOUyGksYUACcnD6Wzs5dKInZW+HoFtZCJDummnQc2SXcf3pLarmz7k6zN07+RIzyk+8JxSzaHQ3/6xx9nV5C1eHqPqCg3xeDB3s0//HA+ICbGPe1+xy5dlnh96XN7k5pl9cUOYud7vtGnZ12w3Xbgq2QGnd2BUuh6g1HNd3Xn6abP9micOHHMVRcX4RP9/keMcqk4sO9oqNhWohg1bELZk5zrXmwEttoT5w4EKzvVcGBQYvmksU/lerr6Ksk1OqR7mZgyq6G2oXLkxfTTDQCAc9aOh9R9yISHdF8EQVj4fObhvXtvzHrrrZQnXv9B6jpz50bnL168JTk3t4EdEuJ0z+mqqCg3xeChLrJNO9ZEvLXy61tTYOcuHZecTzvgq1A1SPw8EoqaZFXC5GSvutEp/hUqlZ4REOAg9/eXdFmbhc8/n1xw+eI6ZyqV1i2jO+VVxYLf/vp+GJvFaf3fm+sO2vBF5u64Dql/odMYlkVzVtar1MqnKRRUhmFmcsdeP0VOaZEeCIIgVmys+/dHjrwoI4sP9i5vvrkvMT+/ET1yZPl9P5lWVLSyp0/bNFFqP6jU3dVbnpZ11I/FNTLGj/ev1utN6MWL1ZLYWJeWF14Ycv1xpqvuRaMxwNu2ZTqfOVPmXFWhERr0gPPG8q8PODpIH3s90d00NNZyvvvlw2R/n9DiRXNWkG9YpEdWVVvG/m79R5zC0pwPCYJosnY8pK5HJjykBxIImBFOToLnv/hiimnMmKA2a8dD+n8yWQdt+vRfJr7yysjUCRNC77u+6scfUwO3b8sK0+lwYumyuBtz50YXMxhdv+uusVFJ/euva64XL9Q41tfpbQU8e52Pe2hLgE9YPZ1Ox7w9Arq0ui2O4+DLH94ZTaPS5C8v/SCrK89NGlgyb1wRrf/ja111XflHBEF0aVJOsj5ySov0QAwG1X3evBhWWJiUTHZ6GbGYa5w6Nbz0q69OR0+YEHr4fse+8MLQAg6HZtq3Lyf42WcTu3wUZMmz2yKyMltcMDOCOti5qHy9xjTPGhOX5eTo0mVbz+/mRv41SWNLHePL93673p3XIfV/g8Li5fVNNc67Dm6eA0HQr+Qi5v6FHOEhPRCFgkQHBkoWREe7MX/5ZW61teMh/RuO42DChJ8mjR4dkLt8eZLVfj/jx68fSsF9afNnLjvP5wq6bFrsQbbs/DmmSdYAvbHik/Seuiap/zKbzdC36z9wS007+bPBoCefU/0IWWmZ9EAYhl/LzW1YVVDQiGMYTvae6WUQBAGDB3s1XrtW42CtGAoLm1h6vZ6p1augnkx2AABAqVbQbUXijp68Jqn/QlGUmD9jabOXm99CCILE1o6H1HXIhIf0UAiCMOj1Zq1M1km1diykOzk68tUNDUq+ta7/+WcnQ9pbOcJg/+guKyT4sIRCO51M1sjr6euS+i8HsZN++oSncSeJy7MQBKHWjofUNciEh/RAEATZe3jYrmKxaCK93kQ+Z3qh0aMDalAUYfz5Z7qTNa4/LMm7wWTWEmkZ54INRkOPPkd8PQIbWtqaRD15TVL/Fx+VJEuMGenF4/DHWjsWUtcg37xID0PE5TKCmEwqw91dpLd2MKQ7iUQc0+jRAVUbN6YFY1jPVw5ISPBsM2EawGCwMJSC3tr5VVNfyVq8aspsuaKVBgAAckUrbfGqKbOrasvu2eRz0UuTZ8vamukPe+2QgMjmhqYa16ycK8Inuxck0v+DYRjMmrSw3s87ZDJKQb2tHQ/pyZEJD+lhFOXk1K+xtWVrYZh8yvRWL72UdANFEfqWLdceqZN6V/j002OhLIYd9OaKz/fcXtXY1dlDOygsoWj9lq+jAADgly3fREWExBa7u3h32ZZfFKUS45NnZp5KPezTVeckkQAAgMPmYXOnP9fuKvVcCkHQPZN0Ut9AvnuRHgZXKrUZwWLRyC19vRiCIGDWrMji33+/Et7T13Z3t1WZzTpCqVbcMTKzcNYL+Y3NdeLft64Jqm+qtl84+8W81LSTDq9/9Nzom8d8vvat+B37f7/1KXrnwU0BL7w+e8rzr86cVliawwcAgHUbPov49c/vgm8e8/yrM6ZXVJdwAADgVOrBwIbmWonJZCAX1ZO6lL93sHrM8KlcO5H9XAiCyOdXH0YmPAMQiiJhdDo6y9GRvxKCoIeZOvCfNi08+scfZ1d2e3CkRxIa+elkN9/35n7yyTFfHMdBVlatk9Fo7vH6WlVVcp6jvUcnj8M31jVUcX/f+n38/mNbgwAAgEqlWSaPeerqqdRDsdPGP51GpzEeWOyQw+Iafvxi+77YyCFF+478Ffyg42EYwTgsLpadd41cy0PqcmNHTmsID46No1HpsdaOhfT4yIRnABKLufNnzIicFxjoOBgAYAcAABAEeVEo8GAOhz6aRqMk/vM9CYNBHeblZTfS0VHQSaEg5AhPL3HlSgVv9Nh1w9RmCwti0aGCwiZxXNxX8y9cKBfPnRt9fevWa5KejMfdXaRuaqnmfPD18olfr381pa71Ev9yxkk/HP+7bVZOQYYzk8HS1dZX2DzM+ZISx9QAAICPR4Bc1aHkPMxt+Hyhtr6xmtytRepyKIoS86Y/1+zt4b+A3Kred5GVlgcYCIIE3t522MqVSaV79lznnTpVNJhCQfDwcOmoUaP82d7edp3bt2cKIAjydnUVus+YEek1ZkxgS3y8R4O1YycBcP58ieDLb8+EVjSqRU4RbvUzV4/dUZdTJ0nfkDoYsxAcBEXUazakxQEIgGMnCiv+2DT/KoXS/X/mb701uhhFT+NiMdcwY8aMBjqdYomO+mFSblGWAwDAVFVb5vTeK98c+PibVyckD5tUSUEohIUgbk0PmM2mf7Uzp9MYOAAAwDBCWCw4DAAACAxbiNtug+P4v25jNOiptG5qTEoiOYid9NPGz+cq1e3PQRD0GUEQZHPaPoZMeAYYHx/xB0uXDuGEhDjVK5U6CgSBJB6Pgbq4CLWzZg2qBQAAV1eRRq83j8jLaygMD5eqhgzxbrd23P1ZVVUbfXTKuunnz63aKRSyzNnZdVwGg2r56quToW1KHZVOpVg++mB81tmzxfa/bs0Ml8Z6VY9fOiKdK+IaAADAO8G7Dsfwy46Bji0wBBNmo5liNpgpqT+dHfbbb1dcly4dUtPd94FCoYA330wpu/17wSE2Tddz09zziq6Lpo1/Os1N6qVJjBmR++uf38Y889SKa+3KNr7eoEP0Bj1S21Dl6OXu13K/a4iEYk1+8XUpAABk5aSJOjXqWyM/GIbR2hQy+sihE2u75x6SSH9vVS+tKHQ/emZPCgDgkLXjIT0aMuEZYFgsGsPX115HoSDEiBF+7SNG+N2RzMTGuqvs7DhOfn4OvgRB6KwR50AyetwPU8wUmNi4Mc1949aMSIDAAAACQHQa5D3Ep0BWK7ebOuf3iYAggF2IS0viwsSM/57Db6hfzW1fGgEAwNZLLDt4JM+tJxKeu5k6NbR6xYvHxtnbutSNGDy2EQAA5s94vmjF2/N9ahsquf4+IVUr354/TcATqu1E9vIHnW/syGlVGdcvey17ffZUidipjccVqAEAoK6hiqvVdXKmjZ9/mslgdnkzVBLpJhiGwcxJCxoqqosnQxCUTxAE2WqnDyF7aT2Cf1boOwIABP98ywQA0AAA9ODvNxkjQRA9XwTlPyAIEgAA+Hf7Y2QyqeO8vOwm/fjjU9qEBE/l/c6j05lgOp1iIbeid6+YmM8nyzRGFgAAUFh0fNiy4adQBmq2dbXtAAAA3IRDuSdy/VorWh2Tnk86R2VSH2raRtGgYB99d9+Esty3t/XEtNZ/YRgGYqJ+mDR7wuqM8JCYpu64hqy1iblmwyej7G0da1c8+9aN7rgGifRfOQUZNus2fKqtrqv4kCAIg7XjIT0ccoTnIUAQJObzmYMCAyWRXl52Ui8vMQEAABqNkVAoNKCjwwAZDGZIpzNBEREuZgCAzmzG5XV17Vlqtb4IAFDfk113nZ0FqwUCpj0EQZ8CADgAgHyCICwAAGA24zUSCZ/q5iZ6YOdzJpNKflruAY5SG7lGoSNSXht7jMFlmGDk3wkmQkWI8AnhRQCAokc5L41BMyN0FJs+6/fETRvmpfH5zB5d30KhUEBwiLD5RsFVt+5IeOoaqrjrt3yTxOPwm8lkh9STQgOj2oclpLioj22fCADYae14SA+n3yc8EARRAAB0AADtn/8w8PdojPZ+ozEQBFEoFNjf3V00Mjk5IGjixBBLWJizOirKte5eIx4WiwUYDBisVusp9fXtwszM2hkXLpRBJSUtLWw2/ZRWa8wmCKLbmhxSqRRfT0+76X5+Du5cLp1ib897H4IAPz29KheCoE8JgjBwOHTvqVPDcUdHvrG74uhNLl4sE0RFuarodGqvHMo8f75EcL2gyYXnZtvJErC6tOkmW8g2Dl81+vTJr4+N/eOP9KaVK4f3eFmB6TPCqt57Oz0Rx3Fwe0HCJ1VWWShc/8c3w9ykXpXLF79JJjukHjd13LyG0orCMSgFzTFj5lJrx0N6sH6b8EAQZOfv7/BCVJSrM4tFI1gsGmCxqITJhEEajRFSq/UgJMRZVl0tP9vZabgBACAAADwAAF8s5nhEREiHREe7scePD9YlJfnWUqmUB75hwjAMmEyqhcmkmhwceKaoKDf10qWDQV5eI+fYsfx5J08WzfX0tLtRWdl2EQBQQhDEE7/B/TPNJgAAOLFY1DEjR/qFvfvu2GIbG6YZhmHQ2tqJPv30ptATJwp9IAgqj4iQJo0a5S970uv2BXK5hvL0c1vHMpg03bjhPhVvvZVS2NOjHA9isRAwhFsgdVUrpyK9wkngLFAJnYRdVoXY3tteaeMikufkNogAAD2e8KSkBLa9+/YZ/Eb+NUlkaFyXjfLs2L8x2tvDv+z5p1/J66pzkkiPgkFn4rOnLG6XtTUtgSDoPYIgtNaOiXR//XINDwRBrIAAh7c++miCcMKEENnd6sdgGA6VlLSwjh7Ntzl3rhRCUcRiZ8cBTk4C4OVlRwwZ4i2XSm26dG5WpzPB58+Xio4fL2BkZNQYmptVVxoaVFkAgJtbvvF//rMAAPDbp8H+SWwo4O9RKgc6HXV2cbHxYzKpPmIxlx0YKAHBwU6WxERPuaur6F9xf/HFCZdt2zJwi4UwLVmSSFu+PKm+K+9XbyWXayhRSd9Nj1s05FLRqfwAfbOKM36Eb+lbb6UU8flM/OrVKt7r7xyMSox1b/zfxxMfabqoKxkMJui99w4H7TldEkxgFpCwZOg5j2iPLksOyi6XSdM3Xkh8Y0XS5eeWJPb4LqZFi/6MMqh80MVzV13pivNVVpcKvln/wfDvP960l0ql978XMFKfsufwn867Dm2+JFfI/ujJpQukR9fvRnggCGL5+IhfWbZsqHjKlPB71o6hUBAiMNBRExjoqHn99dH3OqxLMZlUy9ixQa1jxwaB1tZO9OzZ4iEXLpQNKytrhSAIAAyzAAzDIRwnAIbhUESECw4AwCEIIJGRLgiFghAMBkp4etoSgYGOsJ+fvTYw0LHDwYF3323jq1ePrJsyJYyBoojlv8lQf4bjOARBEPCM9WzwjPVsqMqqcjhzNDfk5Kg17kIu3VDd0mkLs2jI9p1ZDga9iTpz5qCqQYNcb005qlQ65H+fHAs8fbbES2THaTeZcMqoJJ/ad98Z26XD13Q6lVi9ekSxTNbB8vYWK3/fkDqUY8s5audup+6K83sneNcRBHHp258uRD89P7qup6f3Zs4Mr3zr9StDu2paS92hZFBRqoFMdki9ga9XYKeLk/tElVpRAwBItXI4pPvoVwkPBEGIs7Ng/rPPJrosWza0ztrx3I+dHcc8e3ZU4+zZUXf9ucViARhmgTDMAlGpCPEkVY4pFITw8hIPuO3l7e06FEbgW1NY7pHuza5hrs0Fpwq8lQ3twonLky8d/t+haVR7vvZCZbv4wks7HT96Z2zGqVNFjtdu1Itl7ToB3YalZ3s6dLK97ZsLTuUPampUPXZNIgzDgEzWSXV0FNwxlSkW88x//LEwffUru4MRGooxecwuTUxby1vEOG7pukU0j2DUqADF22+exq5mX3SJjxr2xCNMUmf3dqPJyNJoOhA2m9urpihJAwOOY9CxM/tcsnLTnCEAQWwmBwoJGLSIRqV1GE3G69aOj3R3/SrhkUh402bOjIxZuTKpxtqxPCkYhgGVChNUKiA/xT4mBIHveOxgBAbBKcG3CuTNWTt3C4zAwIJbwJFPDo1e/s6hJDtv+xb7YQHV8TEe529fSFx8Ii9w8uTQx6q78dlnx703bEyLsSCwhcehacOCHJuShnk3Tp4c1sRm0y0AAPDlVye9Dl+s9EpaPvI0W8ju0kXlsrIWCWHGkb17bzjMmRPdLVvE72fSFO/Sk0f2hESFxdeh6JONMIls7AwSe+eOAyd2eM2dtqSkq2IkkR5Ermilbd37a0CbQkaDIAgW2djp5k5/Ll8osDU1NNUyf9z4+QoalbaWTHp6p36zhgeCIJukJJ+vDx5c1shm08lPfSTwzTenPX/fnxs449unDjzM8RbcAv67JfwmZZOSdeS9fePPHV6238VFeNdk5IsvTnj/sTM7yMdd2OrqbNO5YEFcRUiIk8ZgMEFR8V9N1lEoHBqHrpWGSCt0Kh1DUSkTGZRapqMtu53LpFoKqhX2Q14YcdY13PW+FYcfh1appZZdKvMoPnoj8Jdvp50ZNsz3vjWYuhqGYSAh7sdxSfHzy0YOHlf24Fvc35mLR7yOnNrt8/UHvx+xRo0h0sBhsVhAdm666NDJnd44jmEwjCBRYQktY0dOrUGQf29maWyuY3z5wzuC/OLrbxME8cDSH6Se1Z9eKSRhYVKCTHZIN23ZmRXgOMj9oXuA3SvZAQCA4nPFvn5uwpb/JjsGgwnau/eGQ3u7lvbXzuxAYYi0Tc9nadIb2wVHFm4ZgxvNFKmYo9IjCPrU93P++O81VM0qZk1WjbT2erWH93D/ou5IdgAAgCVgmcImhBVrFBrOmh9SA4cN873UHde5FwqFAp5ZHJ6/Yf3eyMjgmFoBX/REI1hDYkdVXEg75fv71rVBzz39cn5XxUki3S49M9XuyOk9bjiOYShKheZMW1IW4BOqutfxjg5S/cSUWXyFsu1pCIK+vVn/jNQ79KeEh8Fm06wdA6kXMeEWxDPeu7wrztVa0mS3aHzgHdMnX3112mfj9sxIgMAAQinQmDlxhxlchhmAv0eMTnxzfBSs7ERwoxkmcAICyL+nKPkOfF3o+NCS0PGhPTI14z/cv/jE/w6mFBY2sQICJD26jXbJksTaE8dLpNv2/Rb7wjNvpj7JuVCUSsyb/lzaz5u/GrZ93+/G2VMWPfGoEYn0XyKhWB/kF6YcNWxSjQ1f+FBlRIbGjW7OLcwKVqoVcQCAy90cIukR9IueARAEwT4+4uTYWHe9tWN5XMXFzawxY9Ymh4Z+PDM4+KPZTz+9KV6jMSAnThTYLliwOc7a8fVFhBGjXtpwIelJz1OfV2/b2aziDx7sfccQ9fLlw8o/ejM5dXpKQB6B4cTNZAeAv0eMTDoTvblZLSBwC6Lv1FOfNJYnJZQKO5l2XM2BAznO1rj+uh+mXauoyxJeyTjv8qTn8vYIUDzz1IqLaVmpIWcuHpF0RXwk0u283P06Z01eVPawyQ4Af6+/nDXpmWZ3qfc8CIKE3Rkf6dH0ixEePp8xYuhQH6+RI/36ZCM3i8UCFi3aMmrChJCiN94YXYphODRnzsbBL764I3rz5gVpo0cHknPBj+Gzjyecf/mDIyNyj+b4hIwNfeyt5LU3al0jAhzqQkKc/lUQcMKU9Yn5ZTIXKooYIMwCC91s7yjo6BblXlJpNHvzbNg6BofRpZWUH5fRYGbl5NbbAQB6fMGvo6PANGdOQN7BfbtCo8Li67R6LdrYVMuTyZu5SpWco1TJ2TQa3TRv+tI7GqTeTZBfeOuMCU9nbd//e5ydyOFssH9Ej65NIpHuxkHspJ+QPFPQrpLPhSBoLVmfp3fo0wkPBEEiOztOUnJywLgPPxzf0FebXO7cmeWIogj2xhujSwH4exv5unWz0hISvnzq99+vNOzeneV/4sTKEytW7IiQyTrZMlkHt71dy544MST/448nFgAAwEsv7Qq/eLHMUyBgajkcusHX177t88+n5A0d+s14NzeRvKKi1U6vN1E/+mhC6pgxQW0rVuyIYDKp5s8/n5IHAACRkZ9M37Bh/onQUOdOaz4WXSklJaB169ZrjUXnivyeJOFR1soFw2Jd7yhz0CTr4MQ/OyyVK+Z2ttW02dg42qj+e0zImJCykDEhvWq6xaw3M67faHC1s1sdNHiwV9GePc+fBwAAkwmDgoM/mufqKmw9cWLliQ0bLruUlLQIvv56Ws69zrV7d7bD779fDjlxYuWJh73+qpeHlx8+/JPnKx/Nn2mxmAGdgeg5HFRnI6Qa7O2Zuoupbd7Txs3PZjBYD7UeLzFmRHVLWxN/844fYr79aNPxh42DROpOSYkpzbmFmRHtKnk0AOCqteMh9eGEB4IgaWys+1tz5kRT58yJquPzmVbvUv64ioqaBR4etvLbv2dnxzELBExNVVUb7/bvNzWp+MePLz/S3q5DR4z4bubbb48pSk0tFaanV7qlpq7eazLh8IgR303x9bW/NSpkMJjRS5dePbhnz3WH9947NHTMmKDdPXXfrIlOpxIhIc4t5ZermI97DgtuAR0yNc/L684igEYzjtI4NKOdu526q4oE9oTBi4ecTP3p7EhcqYXr65U2HR16hMtl4Nu3ZzrxeIxb63oWL06oBQB0eWVmCoUCjh1fcrKpSU1zdxfq/7vLKipyjWNxRYFdeFB088Oec9LoWTlXsy5MSc+6YBsbOeSOEVGz2QTVNVTzIRiyuLt495nfFanvQhAKMWvyopbquor5EASVEAShsnZMA12fTXgcHflDli8fhsyeHdWrCww+jEcZ7Bw0yLWOzabjbDYd53Do+upqOePSpQr7qCi3Gi6XgQMA8PBw6b8ek4kTQyoAAGDatPDmDz44jDY3q62+lqS7nD1bLHzj3UOxHWo9e+bUsPwrV6qkHInNY/emqsqocmJAwDRlSui/3nwNBhOkM5iZPHtenxsRcwlzkfElfLmuRcUND5fW/fXXNemyZUOrDx/O9Rw82LsiP7/BAQAAvvzypHdhYZPtH38svDJjxq9DmUyqqbKyzVat1jOff37w1WXLhlYDAIDBgKHjx/8wsrFRJXB1Fcr37HnuHAzDYOXKneGZmTUuJhNG8fYWt/z11zOXYBgGQ4d+M97bW9xaUNAo0evN1HffHXNhypTwFpVKR3n66U1Da+sbHDf89T0bgRHdvOnPX4kKT3jglC6KUgk3qZc8tzBT8t+EB8dx8Pm618fI5FVcBGYhX7y7cRudRid3z5C6nZPERTd25DSBUq2YA0HQT+TUlnX1qTkgCIIQCIJCJBL+rPBw6cjhw/1arR1TVwgIcFBWVraJbv9ea2sn2tlpYHh7i1W3f59KRW4N80MQIIxG7IG/w7/bcP0/GIYAgsAWgiBu/QDDrFOFt6tdv15no8IJDk0qMuy7VOlucRerAkYFPva2ZUWtXOTqyFdSKBSAYRjYsSND8sIL2yK+++6sl8VsQXTtOkZXxt9TxL4SmarDwFEodbTjxws8NRoDUl+vtImKcr3n31R7u5Z5/vzLh3766akTv/56Kfrm9xsalMIvv5yalpHx5u7W1k7OwYO59gAA8NpryYVpaa/vz8p6e7fJhFE2bky7tVAZxy1QWtrr+1euTEr78cfUCAAA+PzzE/5sNt347LPxFyViibJN0WL7KPeJxWSZDQY9+t/vb96xNr5VUc3OzX95O27pwH7769uhAACQnnVBmnnjstPtx+YVZotPnj/g+yjX7StmLRnx7LLXZ099/tUZ09/+9MURGm3nQ3/gTU076fD6R891aw+edRs+i3jq+eRnmmUNt/6m5iwdvbA7r9kTkodNaAr2j4xGUWqEtWMZ6PraCI94xAjfl2fNijJNnRrWp6exbjdzZmTj2rXnor7++pTXK6+MKscwHFq5cmfs6NGBhUwm9YH3MTHRs+WDD44kajSGHIMBg2/cqJcmJ/sX3/z5oUO5HjNnRjbt33/DnsFATWIx1+TkJNBculQuBQCA06eLREqljtOd97GnnEstk1pwAp7y4ZQDXXE+HLMgTbUKuxGj1wyvl3UKEBYdAwgM06uVWp+U4EKhVNgnp0fCJ4bnpf6WmpyZ3+jaIevg/fBDat1/Rwb/a+hQnxoKBSESEjyVGo3x1puSi4tNm5+fgxYAAFxdhYqqKjkHANBy6FCu5K+/roaYTDhFpzPRXF1FSvDPFNn48cHVAAAweLCX/Pvvz3IAACAvr9H+6adjC9rbtVQLkEFCga3iUe6TvL2NIRY5/GvR8o8bPxtaUJru9NzSiHQKhQJWrU5M++6b7MTP1rw2trG1nENB6ISPV9C+qpoy4bZ964dodAoUggiLUGDX0ZXd3XsDBKFgP32xfS8AALz3xcqkHft/91s896VeVcOITmMYtu3bELx66QfXrB1LV0EQCjF7yiJZq7zpeZSCfmnGzL1qTd9A0tcSHtjOjmtetCi+0dqBdCUYhsGGDfNPvfrqnoS//roWrtUaGVFRbpXffjv9xu7d2Q4Puv3o0YFtx44V1CYmfj1NKGR1urkJ2zgc+q0dQRwO3ZiY+NXEm4uWAQDg2WcTqo4fL/CKjv5sqru7bZtIxO62N+7z50sEb7x1MHHpc4nXBw/2kru723ZbA9OSKrlD6MyYh9rh8zD8h/sXEwQB0Tl0fVKgU5bYU9wnE5z/ojKpOIPLaAMQDIKDHGs2brwS89tv8w63tnbes5gVnU65Nbp4+8g8iv7/qCOCwASOWyCNxoCsXXsuYc+e5/YFBEi0K1bsiDCZMOS2c1kA+HuBvsVyc6Tx7/8fPlTk7uU6pFUmOyd92PvTLGtg1dZXimZOXJAOAAAGowHesW9DbEnFDaeXX4m7tOSfLvGLFyfUbd92o43GasB//mhC2ttvnozJyb/mdOrCgTCYKjfu+WvukQ0bLnudTN0XdreER9WhpF6+esZLoWrjQgAiZk9edO1JW2VYg6ebX3NDU40wNe2kw/Ez+0K+eO+XEwAA8Pnat+JdnT3aZk1eVHby/EHnvUf+imXQGQYHsfOtNYZyRSvtm5/fH6LqUHIpFAq26KkVF0MDo9rXbfgsQqlWsJUqObdT08GOGzQs/5mnlhcAAMCPGz8Pzy3M9uSwuVomg2VwdnRrWzJvVd5/4woLii7NKcjwlitac0RCu38Vp9x1cLPXxaunAy0WC+xoL219Y8Unlw+d3OlWXlUifu3Fj9N/37Y2MD0zNWjDd/u2l1UWcX/c+PnQNZ9sOdTdj+XDcHFy1y5d8Br806YvXyOTHuvpawkPBMPQg4/qgwICJNpjx1acBACAQ4dyxW+/fWD4yZOFounTI5qnT49oBgCAtWtnZd9+m6yst28tPn7vvXF5IhE7W6XSUVJS1o6PinK99WIyaVJI9fr1c/6VBHC5DPzMmVXHuvdeASCXaygrX9k7TAPBrA+/OTvU5qcLndGR0sb33x+XKxbzzA8+w6Nh0lG9pQun5/gOfF38vPisrjpfbwLBkIUr4bfbCxkdEREuDUOGeLc/TIL9MDo7jQgAADg7CwxyuQZNS6t0j4vzqLrfbYKCHFv++CMtsKWJwkuM8Ck4eGJXqKytkZeVk4aWVhY44TgO5s+4c7s6juNg697f4pwcXGqlTu46HMdBi6yBk5F7xm3J82HpN5Odm86eW37q5r/9AzPbTl84HNWuakFTLz63UyzmmRcvTiifMXVnYFZOmqS5tUEgV8h4haU5njhuJghgMvEEhJogCFgm0wibWurtVi/94HB1XbmN1MlD2RfWBpnNZqioNEfq7xNSf69j9AYdsvPAxsGvvfi/I94eAer3vlgx4ubPNmz9PlJiL1V89s7Pp85dPi759c/vht0cOZK3t/K/eHf9kY5ONfrqB4tnzp22pCinIFNYWJrr9t3Hm/ZiGAa/8sGiKc6Obnddl0Wj0c1hQdGl2/ZvCFyx+K1br3cFJTf42XlX3b/9cONBKpVm+fT7NxL2HPnTMyFqeMPZS8dCAACgsqbUgU5nGGobqlg38q/auzp7dkvV8sfl5e7XuWzha4BMeqynryU8uoqKVmLNmrMuarWeKpHwTU89FVXPZFItAABQXi5jQhBEuLuL9H11izoAAEyYECKbMCFk26Pc5tln/0xsalIJzGYcGTbMp2zkSH/5g2/V/d57/1BIJ0Ywp305badOraNnbL8acyK9xlf3+j508+aF6U96/lde2xN0NbNOwqJRiLIauR2AIKBT61hdEftAEDA6uCB986XBIKcRODsLNBIJX9cV53Vw4JmGDfMpGTz46+lCIavT3d32gevtXn99dGFk5Kdh7QpceOD49nAURaGDJ7ckoCgF8/RiN1VWaCWjk6bk24nE/yoweubiEd+a+krW52//dE7VoaR+/M3LM5OHTr6GUui4h4fovovKR4/2rz9/7qgfAATQak0IAMDs42OnlTjSWvYcXxMhsqV1SiRMHUJVqL09+e3vvTct28/PQQcAAE/P3xyTea3E87WPn51rNHUQk1MWZYwc8nefsA6NGu3sVNMMBj3q4ebTK2oD4ThGWfb67KkAACB1dGuZMXFBydXsi+K7HVtcns/ncgQdvl5BagAAiB00rPxi2ik/AACoa6y2X/Xce6cAACApIaXpr93r6e0qBRUAAHw9A+sYdCbOoDNxBoOpb25tZOQXZ9v7egXVsJhsHACAe7n733fqdPaURQWvfbhkqkrdfutDW1ZOmmNrW5PtS+8umAwAABhmpnDYPL2jg1RvNptQdYcK7exUs8ICoyqycq7Yl1UW2Q8KS+h1ddnIpMe6+lTCQxCEAoKgD0pLZaF6vdlFKrVxEonYtl5edpq1a8955uTUazo6DNqnn451ePnlEdVUKqXPDTU/rv37l5672/dTU1cf7ulYAPi7WeSyF3ZEnr5a4xu3MDGVJWCZWAKWaeyb40/VXq+xv7j+3NDpM35Bd+967uKTXCfzer29zIg7OHnZl9rzWZh7jGcZX8Lv6Kr70Z+t2LdiEwAAUJnUM21VrXZ/7cr2zbzy2tGbI4qvvZZcBgAoAwCAXbuWpN5+28rKTzYBAMDtI5AAAPDHHwuv3Pz3Tz89lQkAyPzvdW9/TkqlNoa8vPe2AwAAl0vHN29++sCzz+4YJ2+vFesMCvquPS/s8vYWa//886qLrKneVigQ/SvZkbU2MY+f3R84JHZU/o6DG+OKyjLtAaLWn7ywN8xdGqBcu+ZKyIQJoafv9RhMnhwmmzw57M/bv0ehUMDps8vOPOjx+2PLgqvjxq5nNDa224SE2rbUN1aKAABlh07sCDx9cV8oAqMAw43A3zuyfvbkxVeftH/Yk7p9Dc9NFIRCWG7bvGA2m26NjkKPMJgOQxABAAAUCnrbpgqIMJtNj/zJUyiwNQX6hVfsOLAx4Ob3CIIAwf6RZauef++OET5HBxfZ3iN/+ggFtuogv4iWMxeP+DS21IlfCE/slbVvyKTHevrcMAhBEI3t7dqjer3pp+pq+ebvvjtDWbv2nNuff149m5FRs6aurv3A3r3Xidt3hAAAgE5ngg8cyBHLZB39dkt2b2EwmKDx438ade56vceQpUlnvOK8/tXA0yXctSVyduy1rNI26bJlWyPLymSPvdMpOlwqw3VG05DFQ9OTX0455xXn1WDraksmPI/ANdy1JXxCRH4HZqHv2ZNtb604VCo95fXX9w3jcil6GxGk/e676Qfi4jzUIhEbi411l2v1SrSypuRfpfr3H982yGjS065kHQ1u12SiL78aln7jxpt7tDoFWlp1Q9Tc1Ck0GEzdNg9+5Ojz52/kvLF35qzwiuz8i24Hjm0NqqmvlPCFZrVQbFZMmOyam1N82vXHjZ936w6nx+Ukce1sV7bx9QYd0q5SUGsbqhwBAMDPK0il7lBxyiqLuAAAcDXrgufN20gd3ZtPpR70AuDv3Vt0OtPA59ncc3o6yC+ipbQ830Vv0CHqDhVaUV38wLVZT01ZnJ+Vk+ZHEAQMAACRoXFNRWW5bjd3cMkVrbSq2jI2AAB4u/s1X752NtjLw785IiRGXttQKUFgBH+UdhA97Z+kRx3gG/YaSkG9rR3PQNGnRnj+y2TCyiAIevPKlUp3HLfUEQTRAkEQ1NlpiCgqaoresSPTFBgo6fD2Fmu3bEl3/OKLk7q1a2fxx48P7hfb2XuT557fOqiqWs7bvfPZ8x//72hQSXOHHYTA0L26f/sN86vWd+oZqRdKfNPm/O4UFuTY/PNPszPo9HsvAJXLNZRvvjntJ5HwNMuXJ1UDAEB4uLN894ki2KQzIVQm9aEq85LuhFARQhrlUbtla4b3tGkRVln7IBKxzenpb+y//XsajQF+440DoVmZMgkAACja21jAAygA+LuYYG5hhr/QFqv/fs3Ui4MGud5KdEeN9igEAIdXrRpReL/nVFeZPDlMlp1dm7N39+4wBhPSfvLp6MspKYFtW7dekxzYV4W7OHve0XakN3B19tD6+4RUrXx7/jQBT6i2E9nLAQCAQWfiMyctvPT1T++PZtAZBhdnjxZZa5MNAAAsnrMy++uf3hu69LVZ0ygUCrZk3qrz97tGVHhC27Xrl2pXvj1/GpfN77S3c2xjMlj3TUbEtg4Gb4+AmuzctCAAAAjyC1emDJ+c9fG3r44hCAKCYdgyd+qSy+4u3prw4NiW/ce2sSOCY5oRhEJwWDyNSPjvch690b9GelDqZ2azqdLaMfV3UH+sg4SiiD9BELb29jyJSMQOYDCoEioVYRQXtzRu3vw0Y8yYILI3VRfCMAx4B340l6BTATCYAGwhYKqYrwudFJ7hk+hz3/l6C24BZ9adHtxS3OQyMyUg57NPJ+XfPOd/K/C+8MK2iOPpNf4EjhPAiAE2m6bV6EwsKp9lHPvO+MNcEbfbdn8NBK1Vrbwznx8Zdf3yK3vZ7N6x+HbevI3xOdl6NwadgyQPnXglKXFMxc2flVcVC376492knLxVe+93jp6kUukQNpuK33zuymRqNDFhzSypJLh99dKPj/eFRc3dQd2hQnlcvlmj7aS88fHz4xfMeuFSZGhcr1hnaG15RdmC73/5uLOmvuJ9giDID23dqE+P8NyL2YwX3f41BEE0AADPwYGXVFYmGzN6dEBbX17U3NtQKBTg4SqUVVbJHQgG1ULjs3Rj3xp/iCW4/6c4AP7uKD7qpeSLpRdLXXZvS4vZdyg3ACAwbjJitImjAwpffXVkoaOjwPT3dWCCMJkJO19Js3usZ7kFsyCGTgM9bEJY8YOuQ3owO3c7NcuB3/nFlyf9Pv5oYqG14wEAgClTwira2i6zqqtq7Q6d3Brj4xnY4ugg1QAAQKe2g06nU6y6Lua/+Hzmv96wxGKeecfOBQeemrVjYsaNSy6DY0b2uoW0PeGbn99PlLe3CjAMQ8KCosrIZOf/BftHKEMDB7k1ttSFg7useSN1nX45wnMvEASJfHzES994Y7TzggX9q6iYtd1cJ+EX+smcuOeTUv+7budhdMg6GGVpZe5iD3FrSWqxX1NBg3TcYM/CxYsSyu3tOUahkGV+880DIallctHYtyec7fp7QSq9VCot3HE17Hr6qwf/O8JmTRqNAQ4P+3KOh3Okms3maTHMTNHpOynNbcXMvILXenVvOIPBBI0csXack228asn8Vy5ZOx5S71NRXcL5Yt3boLKm9A2CILq8XAfpbwNqmIMgCHlpqWxXRkZNv2ij0JvQ6VRi4aI/YyAGFdi62bY/zjm4Yq4+cnJkoXOwc9vIFaMuxsyLv3jkTEnApHmbJs1/ZksChUIBOp2Jgj5E9WnS4/GK86rDaBTor78ynB58dM9hs+mWr7+ZcFKhyUOKKy+I2tTZVA+/Dtmnn49OtXZsD0KnU4lx4wNLq+qK7awdC6l38nTz7YwKSxAy6Mw4a8fSn/Wej3A9R5WRUY1MnPiTc3y8B7R4cUKTjQ2LfAPtAkIbppHnwJfzHbqmlotXnFcdZsau2Hvbtx15d9+kpUu3Rp44X+rrNTKInMLqJjACA+dI97o9B3LcFyyIe+RRuu40YUJo64QJofsffGTvQ6ejuMFgYKg6lFQ+V9Brdw+RrCdl+JTW7Nz0aRAEZRAEoX/wLUiPakCN8PyjNTu77vVDh3Lf/uGH83UXL5YLH3wT0sOYOye6UtOs4jaXNgu64nwwAoOApIBqoZNQ45nkX3IircoXYtBA3Lz47AffmvS43CLdqstq2sW1tYp7tpkgPZoRI/xa9KZ26MOvVszML75OjvSQ7uAkcdHFRSWxOWzuUGvH0l8NuISH+JuMIIgWJpOqQxB44Cxi6mYxMe5qGiAstTdqXbv63PHz4rOSlo86mfLmuF7RG6c/s/e2VzLt+drffrvk+eCjSQ8jIECiPX1m6S6dUQb2Htkca+14SL3TmOFTWpwkrhMhCOoXzZx7mwGX8NyutFS2788/rzItlgG5U7RbaA0Y3d7bvvnBRz4652DnNrKoYM/gO/LbT5wtdbd2HP2BRmOAN268IhWLOaY33hxxQaNTodaOidQ7iYR2xqFxo1E+12aktWPpjwbiGh4AAAD29rzZDg48oqZGget0JoTNppP1D55QVVUbHUAA0Nn0XrVVmPToEhcOubZr9dYpe/Zk21urEGFfdv16Hef06SKHvXuKfQ16nAYBJvrt11ctNJSF+XtHNFo7PlLvNWrohJarWaljIQhKIwiC/NvrQgMy4YEgiBMb6z5u2bKheioVMZPJTtfgchkYAACYdCb04qaL0YqqNju3aI/y0HGhJdaOjfRoECpCSAe5W7Xycl9lMJigWTO3TGIz7bCRg+fccJa4KTzcfBWK9lamvZ2jBkHITaKke+Nx+eaJKbNNMnnLfAiCviYIgpyC6CIDMuEBAAg8PGz1c+dG96pdKH2dSMTGpo0Pztmz7tQoAQPtdHPiq3L3ZkayhSyNZ+yj1+UhWZd7tEdl6rdlww0GE9QT7Rn6g8ZGJXXC+N/GMWm24JM3f9l5e2XlmwUTSaQHSYgeLsvOSw9UtLfGAADSrB1PfzFgEx4nJ0G3NRQcyL76YkrBoAipYsqU0GYKhQLWrTvntub3S/EV6ZWKuDlxV7hiLrndso9w8HFQ0mzYhk2b0l2WLh1SY+14+oLCwiaOUU9nvrH8f/sHahsJ0pODYRjMmLCguaKqZC4EQYUEQaitHVN/MCAXLaMoYuPsLBiQ970nzJgR2XyzSu/y5UnVq59LvKYraRTsf3v31NNrTg0xG8zkY98HmHQmROBqqzxwJM/N2rH0FaNGBSiEIlh++OSuKBzHwaWrZ9y+/umd0W99+uykvUf+DC2rLBQajAby+U96IEcHqT5l+GTUTuQwE4Ig8gN6FxiQIzwODjyJvT2XXFjbQ5YuHVLz7LPxNTt3Zkve++T40JayFqFzsDPZwLWX0ig0tGs7rg5qyq1zJigIxduWRa7heQTTpgeU/vDDhfivf1JOkLXVsZzd8NYpozwrT508Ib2UccATxyj02IgRZfZ2ju3y9lbe6OGT87hsHtlOgHSH5GGTmq7nX0tQKNuuAAB6RX+7vmxAJjwcDt3RwYFPdtbuQRQKBcyZE9106Eh+TfHZwgDnYOdUa8dEursrW64kqgvrbVYsis9obFQx33tvLPlC+wiWrxhWzeHSzLt25viMHudQ/f77YwvodCrx6qugHAAAFi7cHHs57ag3bjFCFIRJiIRiVVJCSqW14yb1PiiKEjMnLpDXN1Y/A0HQO2QF5iczIBMeKhWxd3ISkE8cK1j7/fTMxOR1k1qrWnl27nbkvHQvY9KZEHmlTDhuuG/pypXDyTfhx7RgQVzD3VpzNDYqqYmJXo0Z6UoPoVDSGRsxvGxI7CjycSbdk49nYMew+BSXdqV8LABgj7Xj6csGXMIDQRAaFeUqcHDg1lk7loFILOaZ7UVsZXVmtZvQSZiLUBFy908vcnrtySQbKqxdsCCuwtqx9CfFxc3M33+/7H34UEUgAtNAVOiw8qdnvnjN2nGR+oYJo2c25hVljYUgKJMgiFprx9NXDbiEBwDAt7fnWigU8o32ScjlGsrPP1/wlLV2sJ6eH1s+aJDrQ1dAdncWdFw4mRdYcqYwcMzb4w+R1ZN7D8dA5/qCvc1hIhGLbHDZBb768pTnht+yYyAIBnYiN93k0YuzwoJia+1EYnKEmfTQ2CwONnXcPG1LW9NCCII+JgiCrB33GAZiwiNwdBSQyc4TUKl0yOgJP6ZoEYRq1JmYx04X++VlvbWNzX64bbjffzc9u7a2vWjG/E1j2uvb+WTC0zsom5QsZUO7DW4hEK3WRFbHe0ILF/4ZlX6l2ZtBt4HGj5yVPiQuuYIsOkh6XBEhsfLwoGi35paGSAAAOTr4GAZkwkNuSX8yzc1qmkKl541+Z+Jhnj1Pe+yzI2M++PBI0NdfTct9mNvz+Uycz2dqUBQxowyU3J3SC5xddzqhOa/eMdBT1PT2mhnHvb3JEYgn8c03pz0Lcoyuyxd9fNLBTtIh4IvIXaGkJwLDMBifPKOtoCRnFgRBOQRBkM+pRzTg3vhtbFh2EgmfHOF5TFevVvHGTF4/xT7YucHGyaaTzqZjKJ2iF9qwHvkNkooi5tyjudG4CSdrTHQTg8ZAKT5f7GbBLaBD3kHXd+jv2rhS3aziL5oVcePA3ucvjRoVoOjpOPubrX9lhBmMRuqm7WtTyGSH1FXcpF6auEFD+WwmZ4i1Y+mLBtwIj0jEcrS3J6v9Po7GRiX1uzVnAwENBbHz46+idNRiNphhZaPSvqGB345hGKirU9K/+vpUoE5rQpUdBjRllH/ds8/G11AoFPDzzxdcv1x7Lt7Zlt2RkOBVo5ZrbAgDZtF36qlsIZt8U+gG1ZnVzhl/Xom/cSA70typp0lCXepGrhh1EQAAcBMOVWdXO5ZfKvU2KjrpTk58nbXj7Q8yM2u4nRoTgwLrLQyYheE4DsipLFJXGTNiaktWTtpUCIKuEgRBLgd4BAMu4WEwqBJHR7IGz+M4dChPklEscxv3/sQDXBHXAAAAKB21eA/1yz92Kj/weOinPkIWqldDCNU53KVa1tzp9OW689Ivf0iN57CpGo1Sz4X5TEjNZICDV6u9CB6TGPVS8lEy2ek+Jr0JZVMR3bL50derq+XcI9dq3HMO5/i2lDY5KCpbRSwUNsaFSxtf/2bpFRcXIfl7eEJLl+4IO3umPFDI9cSfnffyEXcXb7L0AqlL2YnsjUkJKZSW1sYUAMBOa8fTlwyohAdFkdD4eE9flUrfbO1Y+qJnn42v2fjXtYCqq1Vu7ZJ2JVvI1jr4OChjZsXkREyKyCs6V+SZs/PqIKdI99rEBYkZuAnP7JB3MAEAoEPWwVa3qrlsIVvjHulOPv49hCVg6Sg0imnp0iE1V69W8fYcyg1WXS11ig9xkk9/Oel6TIw7+YbcRTQaA3z2TGWg1CFYt2zha0fIqSxSdxk1bGLzlczzyRAEpRIEIbN2PH3FgEp4MMxSmZFRvW/btoxRCQmeSmvH09dQKBTw1isjs179+NhQHLOgEEHgYTOjM4NGBVWgdNQSlBxURmVQzc7Bzk0AAIBQEUIgEWgBAOCf/5N/mD3MbDCjDBrFDAAAMTHu6qqSj/6ydkz9lUKhRSkwnXhh0ZuH+VwBua2f1G3YLA6WkjTZ3CxrmAwAWG/tePqKAbVomSCITr3enIuiZA2exzV5cphszGDPUmDGAWQ0Uxpy6lxu/gxGYOA3zK+anKLqRSBAWMhne4+4fLlCiBMmUFVdKrJ2LKT+b0hccouHq08MBEHu1o6lrxhQIzz/0MrlGmvH0Ket/X5mzqgjeY07dmT6ZFYq7Oty6uykodJWa8dFuhNuxhEKBX6o+kikxxcX+9VEVTvMYdKEkEhoR77AkLodiqLEuJHTtbUNVTMhCPqcIAjyo80DDKgRnn805uTUtxw+nGdn7UD6snHjgts2b3768pRhXiWXfzozJH1bWqi1YyLdCTNhKEomPN0GwzCwbNnWyA4VjfPCMx+c/PajP/6UOrmTO2dIPWJQWHxboG+oL4IgQdaOpS8YcAkPQRB4UVHz2g8+OGx6//1DnhUVrQxrx9RXUSgU8Nmnkwu+/mjchfLzJf4WnHxf7W0QFMEwzDLg/s57SlZWHe/iebnvhNHzMvy9g9tu/5nZbCLrS5G6FQzDYELyzHapk/scCIIG4ozNIxmQDxBBEDIIgr42GrH3xGKuvaursIbsrfV4NBoDvO7HC8GSIOd6GCHfV3sbk85EY9AomLXj6K8iI6VqHGhwrbaTjuM4aGltZF/JPOtZUHzd3WQ2Uj9/59cd1o6R1L/5egWpB4XEu7bIGuMAABetHU9vNpDfoRpLSlo2f//9We2xYwXk9NZjqqyUMyvq2u2bSppcFQ0KtrXjIf2bukkp8HC16bR2HP0VhUIBYjtee3VtueNH37485ZM1KydduLrfNzIWrurUtkA/bfoyiRzpIXW3caOmtzo7us2AIIhp7Vh6swGb8AiFrOExMW7P+vra2/v4iMk3hMcUEuKk+WXNjOOgUw/Orj090trxkP5N3ajkRoS7kAvKu5FcruFX1RUKWbyWzjXrUo7v3jPv8HffzchZuSouLa84VfLRNy9PU3UoqdaOk9R/OUlcdINjRrK4HF6StWPpzQZkwgNBEOzsbDNhy5aFrYcOvZDn42NPltR/AqNGBSgyrry2HVfrkMbCRqG14yH9TaPQ0LTyTk5srDvZG6sbvbQqIX3mUx5Zhw8vOz1qVIAiIECiBQCA555LrF3346Tjbcoa2o8bPxll7ThJ/dvo4ZObXZw8JkIQJLB2LL3VgFzDAwCgMxgoi8tldNnITnOzmnr1apUNg4HiNBqKDxrkomaz6XhXnb+3E4nYWICXbUt1VpW7Y4Aj+QbbC1gICwRwAtx8AyZ1j8WLE+ru9TNnZxs9j0fpFNs6tvdkTKSBx4YvNI0YPA5qljWMBwBssXY8vdGAHOEhCEJXUtJy+I8/0h266px79163X7lyp2HVqt3I4sVbdM88s8Xv5MnCATPa8euvl1wwA0bTq3Tduuvt5Pcnw359+tfpvy34bdqGhRumll0p69L1V5uWbJoIAADyWjlz++rtfXuKDgfk2hEr27QpzRMmxIy505ZetXYspP5vxJBxzW5Sr2EQBDlaO5beaKCO8AAMs2hRtOs6GHM4dIJOR5tKSlrWAgDMjY2qaUYjlpKcHDAgRjs+++5MIkSnEr7DHfO76xqlF0vFjYWN0gU/L9hHZVJxdYuabjaauzRpX/jrwoMAACByEelmfzP7dFeeu6dpVVo6FYXN1o5jIBs82Kv56OFzwRptB5VOo5NNi0ndikFn4mNGTDU2ttRNgyBoLVmM8N8GZMIDQRAUGChJiItzV3XVOREEJvR6Mw8AICAIohmCoN0NDcpEmayDKhZz+11fnT17su2PHitwWbd2ZiYAAEAIYpny6fS93dlWoqOtg0llUg1UJhUHAACePc8AAAD5J/Mdr+24FmMhLJCNo03bhLcnXKYyqfjPT/082zXctayxqNHFYrHAKatTzjgHOatUTSr6oU8ODTfpTTQbJ5s2WYXM+alvn9rHs+cZ1k5Zu3DFvhWbWspaOIc+OTR6yR9LdreUtXCOf3N8GG7GKQAAkLgg8YrPYB9Z4dlCh8w9mZE0Js3Q0doh4Ev48hmfzTgHwRDIOZLjfG3ntVgqk2oQSARyTbuGO3fN3BPd9djcDYzAFoIgR3ms6ezZEkcUYUAUCkoWqSL1iIToJNmFtJPhrW3NXgCAMmvH05sMyCktAIAbn8/0Dg526rI1PFOmhDWtWjXCxdGRPwQAAAiCsOj1purCwiZOV12jN5DJ1Gj80G+S3/7qdHxmjdJhePLaMQnDvx9HIBDc3T20AoYHNBg6DOxf5v0yc9/7+xKKzhU5mHQm5NKmS0NTXkk5s2Tzkj0W3AJf+uOS/83b0Ll0w+KNi/d5x3sXXdt5LRgAAM7/dj7C3tu+cfHGxfs8oj1qDJ2G+26n5zvw9XO+m3N08cbF+1JWp5y9/MfluJs/62jtEI5YPiLt2U3P7ta2azklF0vsTToTkvZX2uCJ7048vvCXhYcMGoNViltqFBoWIAgy4bEiOzuOjsfjKslmoqSegiAUYlzyjA5HB+lsCIIG6nv8XQ3IER4AQBtBEDiVSumy4T4mk2oxGMzm9nZt883vlZe3nvj00+Orr12rZi1dOqSJz2f2+QJwPB4D47CoJiVO4D5JfgWGDgODZ89TU3qguB2TzzQ/89sz+4ovFNvX3aiTnF9/fkRLWcsNJp/Z4RjgqAYAAL9hfmX5J/P9AQD5AAAQOCqwBgAAJP4SeV1OnRsAAChqFPaxb8aeAgCAkLEh9Rc3XbxvooaZMfjYJ8fiVS0qIQzBhFal5d38Gd+e32braqsFAAC+A1+halRxGosazUwBs8Pe274TAAC8E7wris4V+XX9I3J/FtwC06gU8o3WigoKmkUMmr21wyANMKEBgxTB/pHuTbKGcABAlrXj6S0GavZn7ugwaF99dY9LebnsiQo1ZWRU89atO++6bt151927szv1evP1Wxcx44Vnz5a89fPPF5rT0ioFAABgMJhhnc7UZx93Op1KnDi6/PysUX4l17emx1Sllfu4Rbo1uA9yb+qJ68MUmAgYHtCc8kpKdtSMqMtNxU33XZxHpf89/QXDMGGx/N1igQCPlude2nQpiM6h6xdvWLx34a8L91lwy63FXzAFvrUTD0IgwmKxQL2lPTlCRXDMQraVsCY3Nxt1XVMJv6xy4GxgIFkfDMNgfPIMudTRbTYEQWQNqH8MyBdDgiAM+fmN769de/635ct32rW2dqKPc566unb6qlW7mS+9tHPz6tW7t+Tk1P+PIIj/TpMJw8OlPnZ2HGNWVg135szfPEeM+M5xx45MewAA0GgMiMFgMN3APAAAZT1JREFUhi2WvjXF/967Y0uupq7aKULhzvStaZE9cc2GggZeY2HjrdGV1qpWEZ1D1+vUOk5TcRMXAABKLpR42XvbN9/7LACIXEQt+Sfz3QEAIO94nhNmxGj3O96kN1GZfKYOpsBE+vZ0b/CAdTGOAY4qnVLHbSlr4QAAQHlaucfD3seuJK+R20odeCprXJv0t107C8O93ULltkIx2UGd1KM83Xw7YyKGCJkMVoK1Y+ktBuqUFiAIogUA0OLhYRtw7Vp12Pjxwa0A/D0C09amQQUCBvagOjpXrlQIa2sV53Dcknqfw5rz8xvPLF78px1BEFBTk/qwXK7J6ew0vNna2ul68mQhqlLpofh4D/TzzycXymSdVAcHXp+YhhCLeeb1P8y6PGXuxpRyP0mTV5xXQ3dez6AxoJc2Xoo3G81UCIIIlg1LPfa1sZfqcusqj315bOTNRcsJ8xOK73eeoc8OvX7ok0NJG57Z4GHrbttMZVJ1DC7jnruZIidHFh376tjIjc9udLfzsGtCUOS+O59oLBoeMzvm8sGPD6ZQmVSDjbNN2/2O7y40Js3QpjGSn+6sZPnyHeEowiSC/CPLBXyREQAAmmUNrDMXjgTnFGZ4JSWMyR47clqhteMk9V9jR05tyc5Lnw5BUAZBEAM+6YYG+q41FosW//zzg5/75JNJNQUFjeyPPjoqqq9XKhgMlDN5chhlxAhfxcGDuSI3NxHG4dDMo0cHtjKZVAsAALz00k7pmjXnviMI4pG3YkMQxLexYSXq9aZaNps+yc6O7cTlMlgUCoy8+mpy+80ErC9Ys+asx0/bskJHvTrmlFAq7PVtOkw6E4KgiAVBEaL0Yqn40qZLCYs3Ld6rlqlp21Ztm7p029JtT3oNnUqHMvlMM2EhwP4P9yfw7Hnq4UuHd9uW/btJ35YeTq9rZR/ct5RsKNiDMAwDhw/niw8ezHG/mt7mIeJLMQFfqFoyb/WZ979c+ZTO0GaxEBjk5hTW8caKTw9aO15S/7br0GbpzgObjrYr5XutHYu1DdgRnpt0OtO1/ftvBKWmlg0ym/H2kpKWz0wmrBiCIE55eevEnTszR7S1aVQmE3aFQkHcZs2qCp43L6ZZKGSbMzNrcQBA5eNclyAIFQDg8D9f5v2zmj4yOtptuUTC61P1OlauHF5ZWNTMT/3p7LAxb40/fr/Rkt6grbqNffzr4yMIQAAYgS1Dlwy9KK+VM/e+s3e871Df3K64Rvr2dN/qjGpvi8UC8+x5ivi58fcddeoOCBXBjGa864pNkR7KRx8dDdi7qyoMgiiAwxQjbe1VQK6qE6397eOxRnOnZWiSSzGNBhFnT1X6V1aXCjzcfJTWjpnUf6UkTW5Kz7wwBoKgCwRByK0djzUN+BGemyAIgu5WpAmCICEAACMIQg1BEI3PZwxxcREOQRBYVF/fvre1tfNUV8bh5WX35mefTXGdNi38vutQehsMw8DEKb8MlUEINeXVsacRKkI+sazs6varYYz6Vvb+Pc9fsnYsA8nUqb8MqSwF0kFhiUXXrp/3i03glY0fH1z9+aepgxIGO9V9/vmUAoPBBAUHfTF3UvKSrJThU3o8GSYNLCfPH3DcvOOnay2tjRusHYs1kQlPLwNBUNjUqWGr9+x5vsLasTwqjcYAJ4/9YRRwFulGrhhFTqNY2aWNF6OaL5e6PT0v+oZCoaV3dBhofn727StXDn+sUUnSw7mZzFApXMLOAVf++efC046O/67DM3fOxtic61qPd176dp/YTkI2LyZ1K5PJCH/49cvS9KwL7xMEUWvteKxlwE9p9UJqoxHvkwtN2Wy6Zde2RecSktdONxvMMEonq8taE8+Br+zwEHP2pNU4o0wq1lrV5ppxvU49kBIek8kMZWTU2J48VeIxZLBn7YgRft1ePoFOpxKXLq/Yce1atWDMmMBWCuXfL7Nbt16T5FzXeExOefoqmeyQegKVSrOMHTFNX99YMxOCoK8GassJMuHpffgqla7PJgo8HgODIIhAUKTP3of+IjgluDw4JbgcAAByjuX4qkqbRRs2zDtr7bi6S25uveDEiSKPqxn1Io3GhBoMZopSpacbzIixk7Bv3bHnUNxzzzRUvPLKyJzujkUs5pknTAi968aDPXuu+3q7BzUmJY7pc6O4pL4rJnKI7EL6qcDm1kZ/AMCA3B1IJjy9jIeH7SSJhMe3dhyPq7W1kwpTYBxGBmSJp17JgltA8bG8wE/eGn05PFza63fRPaqmJhX9s89PRZ88W22nIexbqKLQUipboEcELDPTy03NYXAxWwBAderPg6pq2vnWinPdunNu27dnB6nbKdwpY8PJ7umkHvVPMcL28uriORAEvUsQxH3LrvRHZMLTy9TXt59JTPR0tXYcj0ul0qMIShlwf0i9WV1unT3FYsGnTYtosXYsXQXHcZCdXSc8c7bEbc++QrcWrW2zQ/TbB4Vs4T1rWKFsUWdHRzXvXj/vbuvWXk6gIGxCLJJqkxLI0R1Szwv0DVOFB8W4Nbc0RAMA0qwdT08jE55exmTCq+TyvlsfSq3WUW5vt0CyLgtuATkHroePiPeosXYsD0ujMSBHj+a7XrtWK8nNbxG0yDRsBIEIBIFxlALjKIoQRiOGqLUErieEco733HMuziGKB52X5xzaVFqaGYTjOECQe+/WP3Qo1+XPvzKDPvnf+Ave3uIuGxH7ef30Y1lZtcLNGwuiauoqeK5ST3VXnZtEeljjk2e05hdnz4Qg6DpBEH2qBMqTIhOeXgSCINjNTbTYxUUI2tu1FBsbVp9rNqrVmigwQiY8vUX61rQItEMLf/HFkhxrx/IgJpMZ+uGHC6G79+V7NCtgrZHq0spxSK7gRAW3AQKHcKOeYsCNiM5kQGAK1SKy83ikZIQj9uqQF+CWgoImQUiI863aN3q9Cc7NbRDW1iq4Z86UudzIbZRU1urhwqkbJ65akXDj2WcTu2S9w/Dhforhw/0UF1KrnDNyrni6Sj2zu+K8JNKjcHFy18ZHJYmaZQ2JAIDT1o6nJ5EJT+9CAACEWVm1xPTpv/idPv1SPgz3rbUwGo0BhVGETHh6gbwTed51l8vct2+cf4JOp/bqXRm1tQrmq68dGHrlupZge0265BAWI7vjIKbgiQtaGgieMiOjRnIz4dm8Oc331w3XAtqUOG4hYIuO4tZE4ydVe09Lrq4+vz5m3/5c/6lTw8tsbFhdVkxTpzejKrX8iZoWk0hPYuSQ8a3pmakTIQi6NJBGeciEpxchCIKAIOit6mo5ERbm/H17uw4Vidi9umrxTRiGgUFxX03UGDA6VypUWTuega4+r962YH92yNcfjbvQ2xcq6/UmePnKPcMzy9gK6YhX0mFK9yVnOEOqyMlpEuE4Dt5661Dczv2VdqjbhHRRWOId29UhGLJUVqtpZ8+WSKdPj+iSrfwGgwnSaXGqa7BX1cMcf/zsfj+9QUcT20qUPp4BMpGN3a03Jxz/+3PF/abnSKS7cRA76aMiEsX1TTVxAIBz1o6np5AJTy9DEEQnBEEcGo1CaWhQ0vtKwtPYqKZ1mHDGuI+mHGbxWQPmE0NvVJ5W7pR78HrEuCTvsnttje4t2tu16OuvHxicXWwxSEesSIPh7n1J4jkGN+UV7nGfN39LSmqanC4e8voxOsfWeLdjmUK3Nra20jv9arVjQICD3N9f8sRrbp5Z+Ge8UUfnSp3cFPL2VnrWjSuuHm6+stzCTNfrBZluRpMJp1BQHEEoFgtuptS1NDMIlm0TBdM6ILgxlsfhGakoFYNhmNBpOwQmzEwsnf/ymdDAQf1mQTqpZ4wcPL71ataFyRAEXSEI4q5/A/0NmfD0QgRBdNLp6I5XXtmz5MyZVXnWjudh1NYqmCgDNQkkAq21YxnIKtIrnDI3X4qdOiaw5OOPxvVos9JHdfx4gdM336ZGFtUzlA6JL1/p7mQHAAC40uC2prN/osp2HYvumnLpXskOAABwHANbG64X1G7e3cBvbT0V9+MPM0/zeIzHXleH4zgYMtSzLTPjst+Pm79K1ugNuFavR1EKAgDKVOotsNbGI64YRhmYBTfBwILDQvdxKo7YqwMAACyYCepoKrQxmPUogeOwHqoTmDRy7umLx/zJhIf0qJwkLrqosES7hqbaGADABWvH0xPIhKeXMhqxk+3t2vGtrZ2onR2n14/y1NcrGVQmbUB8SujNZBUy+4gAh8bPPp3Ua5OdrKwa4caNV4NPp9YJTYL4PJeRU8p66towTAGQdNJlM4WG27pF3rlO6DYsoVTrMfK1S5hBg6Re+mbo+Im/TpI68zQ+PrZKNpuuf2r2oFKxmHvX5zyO4yAzs9ZWqdTRamvbBUXFLTbXMhtEcqUFU8OSUpbAt0kUl1QjpjGxm3E9MHYKleBLw27fjdbUKSvnlt/4K1nW2sQkqzaTHtWIIeParl2/NAWCoHSCIO5Z0qG/IBOeXoogCCIw0LG+srLN3s6Oo7J2PA/S1KRiUZm0fv8H09tBEET8vfa9d8nNrRecOlXsnnqxyr68Us3UIO61DtFvXaHep25Od7H1GfJI7SUodDbuPPL9s3W5hz1Krua5nksrFSOEnvnHH5nBAgENYBjAxHZMy/PPD748YoRf04EDN1y/X3N+sLzdZNFjjHYTYOkwVKwWuM3NE4X5Ke26cCSLI/bqUKA29X/s/iV+9fPvnSbX85AehYuTuzYyJNa2vrF6EADgirXj6W5kwtOL6fWmtsrKNs/YWHeVtWN5kLY2DYPKIUd4rM2CWxAEga2W8eA4DqqrFeyiomZhTY1CUFXTzs3LbxHUN2pRHbCX0cQxBcLEwfVCKqPPtR5xCBlfCULG31q83HDpp8jG6mZbiMI0lNc0OFXVHEr66QfayYqKNmF1nc5iMCEm1wkfHevuqTpJ7PzsG2e+SdmwdU2iu4u3DMNMSHVdhYMZwwCXzTWxWBw9jmEwAQgIAhBhMBkoBGGBYAghqFQqjlJQjEqlmVlMtoHH4euFNnad7i7eZI2gAWJo/Oj2jBuXx0EQlNbfe2yRCU8vVlvbnr9//43Rw4f7tjo48Hr16IlCoWXQucxeHeNA0NmiZsUF2PXIQuX2di16/HiB642cBnFNrZqpUGjpSpWBoTNYLBhgaIwER2Ohijo59snlNsNimkU9sEanJzklLsu6/euKE18M/ennS6Ex0S4tFqqoxX3M+2d6Ig4qU2AWJz5/5kLG1kGXCvKdCQi24GYzxWDQsFA6SwujTBhCqGYCQAACBAAIFYNg2ELgOEJYMASymFGYwNmwxUSFLRiVQhhtKAgFODpIWwO9g2RjR07L33NkS6SAJ9T4eQU1ujh5qMmRpP7D0823w93F26WqtswTAFBu7Xi6U/96BepncNySdelS+YkFCzaPP3lyZY6147kfCgrjJq2RrC1iZZ0yNS9qYXRBd51fozEgp04VS0+dKnFLy6i3VesZKhPVWU7jBTfSeHYapqO0U8gTD8hdeq5DX7h0MfXdKZWVbfZmyKFHO9IzBU461+TXu2ThacPVPwMxCh2rtlDwgqM7oy5fOxtS39ZKoCyhjHp0l7/E1s7o5+nfptPrKBiOQ/a2Dhpvd/+mAN9QGZkI9T0wDIOEmOHGwtLc4YBMeEjWQhCERSq1Ebq5ifTWjuVBGHQqDun0/Xo4tC8wdOiZgwa5qLrynA0NSsaJE4Vul69UO9zIbRZ2GGhaI829SeS38ppEKCV35f2DQmfj3EGrjjU25NqL/Dzl1o7ncTnFzLuVMBs84urrr/0VKQiaUGPrN7zBYsFAS/5xj6rcEhFMZWghCCGI0gou5dyReIlIhA2OTqoID4qudRA7kc+LPiQqLKH1wNFtgyAI2kkQhPLBt+iboH4+ZdenQRCEennZrdm373ldYKBjr26wNf/pTbFNbBae8HRChrVjGcj2vL5zAstoAhBKMYoEDH3ycN/6pUsHV1Moj/bZpqKilX3kaL7n+dRKh7Lydq4G58kBx7vFxntwNVPgRO4GIv2LxYIBWf5JN2PjdU8GYRQEeAfIx42YkuvtEfDAHmek3mHXoc3SrXt+3dPRqT5m7Vi6C5nw9DIQBEEAAB8AgLOzs2BcSkqg3RdfTKnk85m9sq+WTKZG9+3LcTxyvMCV8HZURs2IyrV2TANZY2GjsD6/Xsqz5yk7WtT8uqxqFx5EGN9YPeL6g4oQ1tYqmIcP53mdO18pKSpVcDW4UEaxDa639RlWQ6GzyXYhpIeiUzYwW/OO+NM19e4RARHN82Y8d5XL5vX60hoDXbOsgfHBl6sY5dXFLxME0Svfb54UmfD0MiwWLS4iwmXl2LGBWhcXITZjRkRTb+6ntWbNWY/vf0+LBTgOvEcGFcU+FXvd2jGR/h9uwqGs/VnBlRdLvFxt2e2vrx6RO3y4nwKAv9uBXLpUIdi3P8f12o16p9YmrRCjSuoQYVCdnd+IajLJIT0JraKOJcvcPkjChATTx83Jjo0cUmftmEj3t/a3T10On9z5PYZj/fKDK5nw9DI2Nqxlr746KvHNN1NKu/K8v224LN22K8vbbMIpsYNcmkUitv7110c/ccG3NWvOemw5VeIet3DwVTqHbmQJWOROrV5I36FHs/ZmhdVnVUkhDAdUFDEbTTgVolEsQnc7Ocqk4UUXFUzP0Z+csnaspP6lOeeQB15/NSwpZljdvGlLMsiFzb1Xemaq3U+bvsxraK5db+1YugO5aLmX4fEYmEZj7PLfS3Z2rW07jDD57qK21HKFvepkEb8rEh4Wi2bWq/VsgaOgE0Z670jUQMfgMsyJCxMz8Dlxme1N7RyDxkBjcpmGm7+32hu14qILDTHWjpPU/ziETqjUuYQ3n7y0frjRaIhfPGfFFTLp6Z2CAyIVXC4/AoIgen/sok6+Q/UyjY2qi6mpZeaODn2XviK8vGpEkbZFzYiYFnkj6qmYdAyzoFVVbfSzZ4uFT3LeuXOj6hGdAb6y5fKgroqV1H0QKkLYutp2OAc6twmlwltJqlOAUysMm5kmfQf5IYjU5ZgCJ53DsJWnUq9fs1mz4dMkVYeSau2YSHdiMdm4v3cIAv5eR9rvkAlPL2M24zKdzmRob9eiXXleb2+x3tmW3V5yvsRH6CzsgGgoNHLyL5OfXbEruaqqjf4o52psVFJXrNwRPmnq+kT/kP/N1ZgJhl6lI2vw9GEIFSEoVAQz61Q0a8dC6p/oHFuj48jXjmdW1eMffvPauJLy/Cf6sEXqHqGBg4wOYqdoa8fRHchPc72PmcWiwvb2XVtZ+dvvzng0KnX8eE9xHozAYMqn03cxOAzTXy9snpORUW3j7m573/5CP/98wTUnt8FWaMMyZGbWOFXKtULvYX4FocGu13yH+FZSmVRygWsfplVqqWY9hjAEErJ+CqnbUBlczC35tQsNGTv8vtvwRdLMcU/dSEocU2HtuEj/LyRgkILHFURCEPQHQRD9ql0QOcLTy/D5DB+lUqcuLGxid+V5f9pwJcp/bGi+S5iLDAAA2EK2EaEiBIRSoO/Wno80GEzQvW579WoV7+cNl8PTa5VO5ysUQp2Yp/Ee4lsQMysmJzgluIxMdvo+eY1cAGC6rrv7PpFIAADgFDWrmHAbfmXj3k0hG7f/EI3j5EtIb8FmcbAgv3AqDCNB1o6lq5Gvbr0Ml8sIHDzYy9PLy+6Jt3dv2HBZyuczTF5eYg3z/9q77/CmrrMB4O/Rnpb33tsGm733CGEEyN6zSZO0X9o0q21WM5rR7CbNbrNICAmEsPc2mGHABhvjvZcsy5a1xx3n+0MiMQSDAduS7ff3PHowuuu9V1dX7z3n3HPEAtZhdvym6uqGV2/8ccNLaxevXl0QcccdE35TyuNwuMhrr28ZQ4PU/NS7puwJSw7DQQUHIUIIBcrhDRDqN8Gp05rtIUmbd+z/eK7dbpv28D1P7MfGzL5h6oQ5xryCAwsJIccH04CieIHzMU1NnacOHqxq2bChMPzK1mOQvPruzulPv7F9+o2/W7aAC1Sx6TPSf/NUljJA6QrLiGh+6V/bpr3zzo7krtMcDhd54omfRpe2mIMy5ww7gcnO4BWdFa0Ty6jY3Frh5+1Y0NAhD4i0R81+bNuBwgK/r374aJK340Fuw9JGGmKjEhIAINbbsfQmLOHxMSzLHSeE/O/EiYYH77jj8tuNLVt2OD4gIaRtyQvXbbvYvFPvmXakMjVC++GXB6Z8+EXuRJlMbHPYXQoiFPIyf4UtcXJKRcasjNrLDgb5PIFQAJEZoW2N5TmJ6rCUE96OBw0dElWQK2LGI7v27fv3omFpI2Kxg0LvEwgEMG3iXKa04tQMAFjm7Xh6CyY8vql9w4bTE/bnvD0lOFhpuevucadvuWVslcXiEP7pkZVz516VXn399SOr5HIJ390KjhyrCwtNi7jgUAJniGViPmNWRo1YJmYEYgGnClTZHCaHNDAm0KgKUg2qRmuoe2HJIW11hc0h3o4DDT0yTZiDhGSUrd26cvTYEZMaxGLJoKlGGagmjpmhW7/1x+mEkDWUUrO34+kNWKXlm5pbtfY947NuOszZ4/VHjtRG2u0uwf79lRF5eU3Bb7+1e8K0qe/dvm3bqejuVtDUalYHRAVc0sB9yZOSGxPHJraEJoYaY0fG6jDZGVokComLAoM3QcgrIifcfqrOYLZ9+NWbs7ARs/eplGp2wuhpAplUPt7bsfQWvLj5IEqpNTI8pjo6Mi7R5XKKcvatmTBj+geRLEtYm5UXCIVSh0DAiyMjA36TdTc1GSRbthSHG8wOdVhymN4b8aOByWF0KIDIcGgQ5BUCgQhkEVk1ZZUFExiWEQiFwm5LsFH/mDpxbvveg9sWEkL2UkoHfBaKCY8PIoQoQ4LCwqVSGbd4/i1VMdHxxoTYZFNEWIzjb6/eds38hbGdI0fGNGVlRZ3ViPjzz/fHvfHh3kmqULUpcXp6hX+Ev81b+4AGHkOLUSMQB+I5g7xGrAiw25wO+s93nrpRoVDarlt4+5HM1Ow2b8c1VMVFJ1rTkofHVdWWpQNAsbfjuVJYpeWboqMi4hJDg8PtCrmCnzxuli4iLMYBAOBy8sI1P5+OX/ljfiYAAMdx0NFhFS9ffiRlxYqj4xlK/GY+ctW+yXdNwVHL0SWhPDabQN4Vkj6zUT3mrs0VnQ5dfm0j+9HXb89u1TVjL+5eNG3CXFt0RNw8b8fRG3C0dB9ECBHERMY/+9DdT0ROHj+rteu0tvZWid1uFb3/5V+u9/eXsnY7I2JZwghB3Rkdkdl6qHhvVsK0uLrZD8/OwcE80aXY+t726WW5bQGBqQuOh2bMafR2PAjV7Pz3pOFh6oDRw8fVxEYl6lOTMvXYoLl/MQxDnnv9kdijJ3L/TiltvfgSvgurtHwQpZQnhPxv1YZvXo6NTlRER8b9Us0QEhTmAgCXRhVf31BfFXf1zNsOTh43o+lMCVDRUwXJDccaYhuLGkNjR8b26CkthAAAkiYkVBu1nZM7mk/GYMKDfEHM1AfyCtY/e/vJigqpTCKCyKBg/ve3/yknKSHN4O3YhgqxWEynTJjNV1SXTAGAn70dz5XAEh4fJpFIF1y38PY7Hr7nyfOONWOz2wQKueKshn2r1i9L2nT0x0n3/Pfu77CEB/VU9dHqyC3v7J7Ng8wcMfbhPeqwFJO3Y0IIAMBlM4hFMjUDANB46NsRclNN6vwZCyquXXD7CeyZuX9odU2yf7zxqKKypvSxgdx4GX8RfVhocHhUdsaYbvs/ODfZAQCICIuyyP3kJkx20KXQRGhMQARs6qJ31mGyg3yJRBHACAQiEAhEEDvlvpPCtEX7Vm79OeW9z16Z6+3Yhorw0ChHUnyaCgASvR3LlcBfRR8mEolVavWljZqeX3Q4yj/aH4eAQJfEL9jPJhACcdkMYm/HgtCFBCZO0ClTZx8trykNZ5juBz1GvWvsyClcSFDY5Xf/7wMw4fFhAiJQSCWyHhcfsiwLJ2uOJqTPTivry7jQ4COWiXl1sNJiajyFPS0jnxeaPqfOYrdBXkHuoBrryZeNyprQFhgQPIUQMmBvijDh8WFCgVAhlfY84TlZfCxIoACIHRGr7cu40ODDczwQAeEpxb7ekO8TiCRUHDvx2Bc/fDytsalO7e14hoJA/yBXenKWDADSvB3L5cKntHwYIUQmk8rZns5/vPBQZFBCUAe23+kdTcVNQSEJIZ0ShWTANtK7EJ7j4diaY9m6Sl1EY7EuiHXxAk0iDi2BBgZTc0lMnFpF/DT+Dm/HMlSMGTHJmVdwYDIAnPJ2LJcDL26+jBC5Qq7o8eOXDa01/oGTArzyuKauWqcJiAwwi2XiAV9EwDgYwd7P9k5pONoYEz0uunHeo1flnJlmN9nFcj854834ekvJvpKE/LVF2Q6nf3vUmIe3SPxCbRJlAI6fhgYEgV0f3kFl9H/f/Xuewdgpeur/Xtzsp9IMiu+mrxqVNaEtQBM0jhDyLaXU7u14LhUWBfgwQkAmkyp6XLpgc5qlcrW834cGaCpuCtr4z02Lt769bQ7PDex8x2FxiDa9tmmevYSVP/fgOxta89uCD353cMy+/+2buPKJVYt/+MsPt7RWtmq8HeeV2vXJnkm7Pj44xWHlIWHGn/b4RQ0zyNQhToEA74HQwBAz76+rTTa7IK/oeEBJTbnfsh8/nuXtmAY7pULFZWWOFgkFwgxvx3I5MOHxUYQQoYAIhWKxuEcdJdnsNoHR0qmRKqX9eoduN9nF+784MG1S6qxCRw0jPvjtwbEA7uoSxsEMqPPLZXMJt72zba7UoHK+/rePd6QkZZh/f+Pj+7X724NFFSqyeNQdBTKqMm19e+uS3Z/untZU3BTk7Zgvl1BMgIgC21Kueed7mSYMqwTQgKMIiLZl3vafZfFL/7VcnTLr0PFTx0N/2vDtSG/HNdiNyBxrDw+LmujtOC4H3s75LrFY3PPqoZ83fZeqjJXbUqak1PVlUF3xHA/7Pt83xZ8NNj5w+2OFNXUVNa9+9dSijNkZZVve2rKEYzhBaEpoiypAZUqbmVYWmhjqs4/LMw5GsP297bMFWin78l/f3yuRyCgAwITR09omjJ627cx8SbGpxu9++nRs0/6GUEOtwe+Gf92wyXtRX77AqMB2odigEEnkA7tIDg15ApGERoy6trLRZZds2bNhtNPlkIzKmlCDg472jYzUEQalQp1NCBEOtE4IMeHxXSKxWNLjmRuaqgOC04IM/dlg+cDXB8Z3njb7vfrEx1tEIhGkJGWYxazEtfbZdUtDVZG6pJh0XUX56bBOYvXfvG/bPL9opXXW/83aFxAZYD13XZyLI/nr84eHJIa0xY+O/81TZpyLI8fX52fZOq1KAoRGZkY2pkxO6ZXhD7Tl2oDDy49MAK2I/vPx93aeSXbOJyUpw/zS397fY7PbBH/6523XNxU3BUUNi2rvjTj6E8/zAo5hen6CIeTjIsfddLp2t06zft/O8F2521Pvvfmh3OkT59Z4O67BRuPnz8RExovLq4qjAaDfbrB7AyY8vkssEvWsOsvlcpBybXH0nLtn7e3jmH5RllMWV5tTF/vcw+9uCfQP/qWh4N8ffn17gH+Qs+t7AAAWi0n4yCu33cTz/Hk7CqstqI04vb4knaVFIybdNzE3c3bmWReqIyuPjGrcrY1MjEzXcTxDDh04MsFusiuy52eXX2rsnS2ditr82tj22vYgY5PRz9RkUY9IGF/14FNPFJyv9+rzUcgVfEJYavPuj/ZcNfLaEcey5mWdd/gPXxWRFtEiU5zMbjmxPili5JIqb8eD0JUSCESQOPfRQzzrIvXrn77DbDHKvR3TYJWRmi3IzdudDJjwoF6ilEt79n3NK8gNlQVIXTHDY/qlCPfAVwfGVO6tSr5x9n2HEmKTzyqtSYpPs5xvmcKS40Eyf5kjKDrovNNbK1ojYoOTtNVN5TGdzZ2BAHBWwmOoN/hPGD696u5b/lACALBy3dfte3dsGpY4LrFOFaQ6b7slxsEIKg9XxnY0dATbO+0yu9EhtbXbFHaDQxGoCG6PDUkyjEqY1jz7roUNGr+AHj/+f8Yd1z108vk3/5Rctq8su7cSHsbBCGqO1USb9Wb1qMWjivuqxC4sOcw49Z4JeXs+3zHRqs9qVQYnnPdzQWigEYgklFKA4MBQHCKlj6QkZpjCQiPHAcAub8dyKTDh8VECgSAhKT6tR1UOp8sLQzXRmn5rH6MtbQ2fPfKak4vm3lDf02Xyiw5HBSUGdnQ3XV/dHjAqbmpjk7Y+rDK3Kk0TqenImJFRc+YHn2M4ocz/18fBr190Z2XJfwrD1j677pro0VEtFr1VzjOcQKqSOomAgNPiEptbzRpiEzJRgXEdYZoEa6AmWBeVFmsaOXyc/nISnHMlxCZb5TK5TSgS9cqjsAe+yR1TtrMsAxjCEykIEscn1p6v+q+3ZMxIrz3+88lsW3u9HyY8aDBxMi5y+Ni+4RNGT+uVam90trSkYUalQpVCCJFRSgfMQw+Y8Pgonuc7juTvFzRp62OCAkKFNy25p0nj53/eH1a73SqhSl7Cczz0RxsemUbqyjm6fTillCxdcGuFUqFmRaLuTyWXy0Eq60vCAif4dZuUWfVWVXBimOWjV79f/cPar9Jyv92VVbzpdNbI60acSJ2aWs+5eIFM9msnjCKRCF547N3cA0d2hR08tic+NjBDq/BTuoyWThmllKg1fo7YYQmnJo6Z0Xqh2K5Ucnx6oyPa2Cvj+ZhbTZqJabNOZaZmt3695YM5ZTnlSRNvnVDYG+s+n7baNj9rp10WEh+Ld8JoUKEAUF1ficOk9BGJRMonx6fD6bKT8QBQ6u14egoTHt9VUlx24rHishOpKYkZ99+4+K5uZ5w4dkb9F6sLon9+ds016XPSSlKnpNb2Ze/A0x+cvv/E+hMjd+duHLP98LoxI5PHVz75fy8f7m7+T75+e7TBpQ9Oionrtq1IcFJQx/cbPpsxInP06rtv/kPp7df/vvSltx+fvf+/udMPfnMQeJZC4JjgE+cuN3XCnNapE+a09tKuXbLsjLHNm4p+zO6NdVGgAovNJJ08bqb2xKmjpYU78zLGXT+2iOd54rQ6xQp/hfNKE9r2xnaVUCjkjVqjeten+6cSeVYZlu6gwSZy6oMbrYU/znc4HQKZVIZPIvaB9JQsuid3aypgwoOulFymmB4SFHZrR6feOH70NLW/JrDbapMJo6e1jRo+bv1PG79L2f/Djoy8b49OjB4V1TDvsXk53S1zKTgXRziWE5xJovyC/RzTfzf9cNb8rKId7+9YeLI6L/l0WWFJZlr2b0pw9uZujThWnpsx8ubsguFzh1d0t43Zf5i9/7tTy29ua9fJI8JiHCKRCF548t3dO/atj62sKQuWSCTs6OxJPveYaUxUgtGWY1NteG3DwqC4oFa5Wm4Lig1qjx0Zq7vUddkNdkl0RLxBIpHRvzz0/LEHn78hquFUQ1j9ifrYil2VqSK1kFzz3DVrOBcnNDQZNGnT0uorD1VGO+1O8bDZwy76NErlocronM/2zyQCACIVqPQ1dkfWHfeevLw9R8h3aaKzDPUnVpkLio5ETxo7o8dV76jnZDI5J5H0sKGpj8CEx4cQQoif2n9uSFDY0rCQCMmNS+4RSSWywPTk4Rd9ikYikdHbr3+g/PbrHyhfvfG7pN3l64fxHA8bX9s4f/j84YWJ4xKbz7ccz/FgaDKojTqjymawKWwGm8pussudZqfEYXJIjS0mDevkxCCgwqCEwM7YEbGV6bPSK41ao7KjoSNw2u+m7dzx/o7Fu/ZvSspMy84/d/1rdn2fnTovuWL0ktEXbIArlAgp5fizZhCJRLBgzvX1AOCzF6z05Czj+KTppw8c3T1SolXZ21hDYIH1xJjwzLCWkKQQnVQtdQyfO7yiJyUzUrWU2ZyzesKSq2+uUqn8OD9JgG3/lwfmcAwnmDVqUf6uI5tGr312/bVCKSG8k9JTW051dtYb/YmIAGNlpERI+FPbT42f88c5m8JTw88aYoRzceTQ8kOzeTvlsxPHVlbVl0XHhWok9TvemRF/9d/29dkBQshLGGlAR11DVSgmPH2DZVkBy7gG1FA0mPD4ltD0lOF3PPr751rNFpMrITbF3NOelrviOJaY2yx+619Zv1Rf3OHXHNscxdgZcWtVa7hVZ1UY6jsDHBaHTCAUcDxHhUIidElFModMLHcqpWqnvzLIEabSdPoFahzDJo9si46Ms/z5xbtubT2mD7JUOIQF606MJUJCWANH5ZFSEZiFlvQpw35TorFm8/IEu8ismnTb/B0CoQB4jofqvOposUzMaMI1Zv8I/7OGwYibEF+3YceP6dmZYw5dyUHsTyKRCB6++6nCh+9+6pe2Nl98/8GwkorCmOLCkkyWZ8UFawomZszJODH+pvFFF1pXytSU8tZiXVh9U60qMy3b+PKTH+z69Js3R1c3lkcsnHtD5cwp82tbWhuUP67/alxYWGRnTEh8e/iwSMv2nA2Zx77PHwsUgLJANr+6ZVFIWoherpHZVIEqc+WBylSnySWmHPDpsdm1Tz3yz8MAACaLUfzn5+6/xdxcolFHZvhsp5AIXQ7Cs0KhUIjVWX2EZRmBCxMedAWCI8Ji+IiwaHtEGFz2wGw3L723MjgwzHakICde6C9ztJS1xFfvrolLjcxqjAhI0o9cOK4wM22UwWwxitUqDdOTvmdee/Kj1cFB4Q6RUEBXrl+WZjJ3ytrVOmVNa3nk3AmLT141c8lZT0PUN1Yrft753ZTMJeklTaebQnXVulBtiTbcUG7UEIGAMqxTFjU6snX0daPzyveXpwbEBOilKonTYDMM+HGq7r/9z8UAUAwA0NrWIn3743/MOr3t9IiLJTxRw6K0RExALlewAO6+fh5/+MVjXWZxJsQmWyePm3VW785XzVzSaLPbBGc+x827Vsdu3b12RKulIVYkFTIThs0ove73d5QGaAJcXTtV9FNpmBEZI7R5+T9OVke+uKW39h8hb+N5FiSuzuC0pOGX3E8X6hmWYwUM43J5O45LgQmPjyCEkOjIuMUTR0/vlRFoZ09b0Dx72oLmr374MCP3xM7MP9z6t71jR045q0dghVzR4+w8Njrxl9KYO2988KKN1D777t2Jgan+pvDU8Jacj/ZPC1VG6kPVcYZ/vvDMToVcwe/M2Rj5zfqPZuuqdEt5PXGpA9qDOs3twYnhaQOqI6uLCQuJcIaHRnfoW5uD22rb/ELiQ7p9IopneQERALR3tMrO7d/oYromrQvn3FC/cM4N9SzLwsWeUBszYmLV8YrytEvZ1lCR//UDvxcrA37pSiFx1h+3K4MTzH293eLVTy8ddsPr6/p6O4NZa9GWpPCgYH5Y+kivPdAw2LGMC1iOHVCj02PC4zuCNOqA7KDAkJbeXOl9tz5Sct+tj5T05jp7QiFX2JtbaiIPfJo7ZcH4m/JvvOaus9ohzZ1+TfPpihOn6htrwh7442OH0lOGm1j2irvG8UnBwaFGpownG1/ZtCR+bFzN9N9NPyiUCH9TVVlxqCKRM1PITBtlON96LlVPHsePjojrEHIuZW9sb7AhAiGbddNbq/t7u5jsXDmHrjxi7KSJjUKh0NuhDFou1kUBYEBdtDHh8R3tZVXFn33z40f3//Pv/+nzu8i+9uyjbx5atf4bnVgs5q9dcPt5nyD68/3Pnej6/77sL8eb7rnpD2X33PSHssdfvm9e1Z6ahJCkEO3wq85uiO6yuYSF6wtHpSUOr+zp8Ba9ISI0yiIUUInD2CrDUdMvrrO+ILjp2E+TKMeIBWK5I2HmQ3vl/pG24p+fXSwPiNLZ2usiedYliR53877ApEla1mkVVe3890yX1eAvUQYaGLtJHT3u5lyJMtBeufP9RWmLnlknUQY6T699fnHosHn5IWkzGwuWPXTfqLs/+4qxm8QVW9+ax7NOKaW8IHTYvKNhw+bVWfU16qpd/1kg94/SOjqbw4RSpTVt4d+3CSWKATWQY5+iPBGLxAPqx3igYRiGAgCW8KBLRymlhJAqqVQ+oE6gC7lpyT04RlMX7/7jq+0/rvsqeevKnyZV7q9MZVysJG50bHVTcXN80uSkUsoB/6d7nzl28TX1HrlcyY0ZNrbxQN7yMQlXPZ7bn9v2dZTnREWrnroBAEAs8zOnLvjbzqajK6ckX/XYNqlfqKPl5MakxsPLx6XMf2qfe36eDL/xjTVtJbtjtEWbxwQmTdrUfHx1pkAsd2bd/OxPpubigMrt790IAKAIjrcEJU85WbPvs2nygBidRBVsCEmbeVY7OKFEzqbMf3K7WK5hnOY2WdmmV68NzZxbBwDA2k2a0Cn37tJEZ+eUbXp1bmvxjsTIUUu77fZhqBG4zH5BAcHYy3IfYhgXAJbwoCtgra4tZ597/U8xQYEhEBYcKQgLjWRjIuPNl/vEFvIttyy9r/JQ/p7USCbOUNRwLPm0/vQI0inmjlYenRCsDtP1xpAXl+raBbcWHDv11CKXpV0iUQUNqEaIfencKi1Tc3GAy2oILN/21iIAAKCUCCWKX9q2BSSMqwEAUEdm6ltOrlcDANjaa8ND0mefAgDwixxmkCgDf2lHFzX2xtLTa19INNYXZGRc+/Jvq84oJXUHvhpvNzRGACGUc9qUTlOrHABAJFObNNHZ7QAAMv+oNpdFr+qLYzAQ8TwLYsr4ZaaN7NXmAehsDINVWugKUEoNhJBHaxsq1QDgLxAIAv01gbEadcAwP7V/3NL5tzhmTpmPjfAGuH+/tGwzAMC7n77EWm0W+Z+feOZQR2e79FIbKveWqIhYS5B/oM3SWhEQqArC86s7lBKJMqCjuzY2AqGYBwAgAiGllLqHG6HQ7bAjrNMq4pwWpftvi1gs9zurdFdbuDGZc9lkw65/7WeBSMKfXPHobRzjEAEAECL4pdqTEAGllOn7MWUGCIFABE6XU1hTVx4cHBiKpTx9hHG3V8aEB10+z0BsDgA406vwEQBYJRQKJynkykcw4Rk8Hn/4hV+qr7xRstOVVCLlOp0WqTdj8HXK0JROjrHLO2rywgITxrfyrEtg0VVq/CIzu21kLg+K0xpqjiYGpUxtNjWfDnBZDYFnptXm/HeCOmpYpVQVZK7N+e/0jCUvbO26LOeyS4QShUMgkvDtFQciOadF3Zf7N5iwFDh9hw6PVx8aiFVaeFcwABBC/BNiUx645qobjU0t9fJV679Jam1rkXk7LjR4REfEmK26ijBvx+HLhGIpHzf1dztaCtaNL1r51A3Fq5++wdxcfMFjFjXmhmLWZZUXrXzyRu3JjSMkyoAOkUztaq88GOEwakPiJt9zImLk0kpChFzT8dVndQ8QOmxepdPUGnxq1d+u66g+nCySazr7dAcHEbFc3cmwDN7Q9yGGHXgJD6EUm4X4OkKITK30WxAZETuP8jzb2FJnSUnMSHr4nicb05KH40jX6Irlnzwc+d7X742PWfzqWm/HMphQniM85xIIxXLOoqvyq9r1waLhN775o1AsxR6A+4i5uUTTceSLxbcvvSt/0dwbTns7nsHq9fefjt6xb8NLlNIGb8fSU5gBDwCeaq41hJAtAMBTSl0ikWjpms3f3/bog89Z5TJ8HBVdmazM0S0SQlU1m1+ZK4saURMxYjE+YdcLWKdVVLbx1Wso5QUAlESOWnoAk52+JQ2IsgqIAMaNnHrRAXXR5cM2PKhPeRIfAADgOG79waN7s+JjklJuve5+/GKjKyIWS+hNi2475mSc4u05W0a2FHAkYtS1ld6Oa6ATy/2Y4Te9scbbcQwlttbKgED/QGtocFiv9FqPzo/FhAf1p9Dg8PjhGaN7pVdehObPua4UACAmKkH/3+8/nFqz+VRCQNbifP+YEe0XWxYhX9FZdyxmUlxyx8XnRFcCGy2j/hSr07e0b9y+Ks7bgaDBZXTWhJY3nv1w7ZIp0ztMBT/MNDeXDPgBXdHQIbA0RowaPm5QjcnnixiWEcAAS3iwhGcAEovFyalJmc8JiFAwbtRUvbfjQYOPn0rD3Hbd744DAL/70Ir5hgKBiVdH6GKn3n9cIMDLBvJdAsqLAzRBXunTaqg4cnx/iKGz3QDuLlQGDLxyDUAadcDcrIzRyqXzb6uJjoyzXXwJhC7Pbdf9rmDRVTecyj95OPbbn7+YZO9oKFMGJ1i8HRdC3eEFYkd7Z5sKfu3LDPWi3Lw9od/8+JGzpr7iTUrpgBoKCau0BqB2Q9u6opJ8a4B/kNPbsaDBz0+lYZLj03Usx3NihT+ec8gn8TwLDUdWZDqddpnVasZ+yvpAzqEdYV+t+I+tsqb0NUrpgOsEFxOeAYYQIo+LSfrT1bOuZZUKFT6OjvpFdFScOTEm0aA7vSvB27EgdD76kt2xQfbajKXTr2rJSh+DQ0r0IoZhyJZdP0d/s/JjU3Vd+euU0gFZeoZVWgOMTCqbOiZ7YvJ1C2/HDrVQv7I77EJpQDBWoSKfZG2vCx6TlKm786aHjng7lsGC53nILzwcvGHbSlVFTckRra7pB0rpgH0yGBOeAcbhdJScLi90dnS2SwL9cWRr1H/kcjnDOkw43hbyScTUEJYQPRH7JOsl1XXlqnVbfgg5efpYVX1j9b8ppQO+Xy5MeAYQQogAgFynVKhU/n4BmOygfsMwLqJv1/lJ4ofj0y/I51j1NSqVCPzmTF9U5u1YBjp9u066YcfKiENH9xrqGqv/wzCufErpoOgdHBOegWXc8PSRk2Mi4x0CATa/Qv2HZRmB2WaRhMeNHXANFdHg11F5KG54bLJeLJbg4JCXSafXSg8c2Rm2+8AWpq6heoXVZt5LKR1UDylgwjNAEEJIRFj00qULbrPMmbawydvxoKGHAAia8r7Pipl8b6G3Y0GoK85QG5Yx5mqdt+MYaHieh1OlBQG5ebs1J4uPWVvbmtcZTYa9lFKjt2PrC5jwDBwik9nY9PPG72IUcmXIpLEzvNpK3mqzCHfv3xyx79B2/4fufqIuJTHD3HW6y+UUSCQ4SOJgIZHIuIzEdPOxivJ4AMCEB/kMnnURMWsOHj184lFvxzJQmC1G0eHjOWH7D+8UNzTXVjc01X7L81whpXRQN5XAhGcAIIQIFHLlbdGRseMdTrvDT63xWmdPPM/D/sM7wzfuWCWta6jebbNbgr/+4cN5f7zvb4VREbF2AHcvnD+u+zL0wbseb0xPyRqUdwpDjVAohOzMMWUn6xujvR0LQl11VB+JCAkIdkZHxZkvPvfQVl1XrjpwZHfQ0YIDrK5dm9Om1+4DgAZK6ZCoCsSEx8cRQoi/JvDNzNQRibddf3+90+UUDksb2emNWEorijRrt6wIOlVaUNisbVhOKW0hhAQ0tTSktepbFGcSntCQcLtYJJF+tuydqL8+8oorIiwaRy0eBCQSKUtZh9zbcSDUlaW1PHRETAIOFtoNl8spOHbiYMiBvF2y8qrT+ubWhmUOh/0opXTI9ZiOCY/vy06OT49+6v/+WaLx8++zkh2OY0ldY7VSpfRjbHarCACAEAIqpZqxWM3iHXvXBx8+ntNW11j1NsdxRWfuCCilBqlE+vkPa758Ib/wcKC/X4DraEGupLah6rjFatr9+vtP33XTknv8QoLCHFERsVa1SjOgBptDv0pLHq4VAz/S23Eg1BUhwqFRPHGJzBajaN+hHeH7Dm4TanVN+U0t9TsAoHywPHF1OTDh8VGEkAA/tf/TKYkZITctuUffl8lOXWO1cvlPn4dV15U3CIVCBcexlBCBnRAChBAVz/NMi65pmc1mOXC+sVNcjKu4qOT4stKKokCOYxvsDlsRADRTSikhpLzT1PGwUqFOCg4MHf7Pv3+Q21f7gfpWfVNNIC8QY2kd8ikCkZhlWJfQ23H4ita2Ftme3C2hB/P2cC2tjTvaDW17KKXYoBsw4fFJIUFhNynkypFjR0zKXjj3hvLR2RP7rLh27ZYV0dv3rndV1Za97+lv4ZJvljyPLq7uZlorIeRVQshihnEtKq0o0mC7noFJp2/RcCLFkCsGR76NiCScy2Uf8glPXWO1clfOxuCjBbn25taGn8wW0wFKqcnbcfkSTHh8DCHEf+Tw8QvmTFsII4ePP3mmXUxfyT2yS1ZaUfQapbS6r7ZBKWVlMrl2eMYoSWrSMEx2BiiJWMICz+I1A/kUoUjKuBjjkO2YrLzqtN/OnI2BJ07lGZpa6r+2O2xHKKUOb8fli/Di5UMIIQKJRDpidPYEsuiqG+v6Y5tBgaEUAPq0ISohRJWenHXnDYvu1GKHiQNXdubYBsnGH7JZl10gksiHbDsA5FuISMwxLnZIXVh4nofishMBO3M2+p8qLdA2NtV9wrCu/PM1OUC/woTHRxBCgiLCol9SKdXCiWNm9NsTBza7lQWAvi51CYmPTZLGRCUMyBF2kVtURKxFLBIS1mkRiyTyQdUDKxq4hCI567K4hsRv2ZnBPHfmbFSVVRbXNTbXfsXxXBGllPN2bAPBkDhJfJ2nF+W7b7/+AXl4aJQtOSH9vP1JGE2d4mMnD4ZOHDNdq1SorugE53keCoqOBHV06iUA0Nf13+5hwNCAZLdbhSeKj0VxHCvgeV7Es84h314C+Q51RIZeX7NTZbdbhXK50md/+Hmeh2Ztg6KkojCwqaWeyKRyolAoiVQi42UyOSuXKli5XMHKZQpWqVB5/lWzYrGYMgxD8gr2h+7M2Sivri0vbWiuXQcApUOl/5zeggmPDxCLJWMyU7PHLZhzfXl3VT6lFUWaj79+M9zQ2d6ha2tOvu36By57kLyK6hL1uq0/hBSXFtTVNVa/Tynt0+oztcov3V8TqOI4ltjsVqFSoWbNFpOYUh78NYFYBOvjDuTtSVq25usRVCQ3M5zAoPZ2QGhIopQHyrECyrOE5xiB+2+OUMoJHCzY9x7clpgQm6JjOZawLCNwuVxChnUJGJYRMIxL6PlXwDAu6nI5qdPlpAzjoi7GCU6XE1yMC1jGBSKxBJQKFagUaqJUqohSoSZymYKVS+WsQqFkFHIVq1SoGJXSj1UpVaxQKOo26bDaLMLTZScDyquKFafKToC+vbXD0Nm+vaNTXwUAIoFAIFPIVWqFXKGWiKVqoUikEAqEKoFAoCKE+AEQhVgsJkKBiLQbdCeatQ0bAaAaE53LgwmPDxAJRekmi1FVXHYiICtjtOHc6bUNVcrPv33Pr6S86GWOY+279m/+o1bXFDd90jxLdubYDrFY3KOTv9PYId66Z23EngNbzNW15e9yPFfcP3W+pP3wsX0N+YWHYzmOZcJDo8RWm8VPKpHC04++XoJ98/g2nmcFnFBhjF/4j+3ejgX5Jkp54Jw2kcvWIWVsRinrMElZh1nC2Dp51mWjwPNAedadtHT5GygPlOeA8jyhlKOU54jnPeKeTgnlOaCUJ+D+jWcBgAGgLAVggQILQF3UZTv249qvLEKRSEd56qKUZziOc7Ic62BYxsmyjMPhtNsZxuXked6zjl9e7Dl/i8DdrlEOAHKRUKRQKf00crlCLRFL/IRCkZ9AIFATItAQQhRSqQwUMgWvkCtB4UmUFAoV0eoaaXVdBWezW09pWxuPMSxTAQD6S0lWCCEEAMQAIKaUWnvxIxuSCCaK3kcIkWvU/i8/cOdf/BdddWMTgHvkWrXKjzWZjeL3Pn0p/HjhobdZlj3lmV8kFAozoiLiFoWHRqZfNWOxa9qEudoLjV11svho4Nc/fKysa6za2Gns2O6NLw8hRAgAFAAiASBMJpVPnjdzyaS/PPR8eX/HgnpO36GT/f31R5cqx/9+ozIoFi+6QwylPLAOs5ixGqSM3Shl7GeSGQPH2DopY+8kjN0s4DmXHSjfTjm2jXPZdYy9U0d5zggAdgDgAYDz/Nvd3xebTn2tZMOTkMjAnRyd+ffMqxMAarEhse/AEh4fIJFIx2ekZg+bPW3hcQCA3Lw9od+u+kQR6B8cYrVZzJU1pR+fSXYA3I95A0ARABQRQqLqGqoXbd+zfsqc6YuYeTOXNHZdd21DlVIhV7KVNaWq0orC1Q6nY1P/7t2vujSsawSAxpDg8HkikVip02ulocHh2AjWRwUHhjrkYrGkYvPrN6Ze8+wqRUC0zdsxoSvnTmQsYsbeKWEdZgnrsEg4p1XCOEwC1m7iGbuRMrZOwjrMAsqzFkp5Pc8x1ZzTpmPsRh1Q3gQAZgAwAYDJ0x/XkOJJwOyeF/JxmPD4AJfLWXS67OTRnzZ8m3DHDb+vXrN5eXh51enPoiLilprMBrPdYTvQ3bKU0iYA+FwsluzSG3R/TUnMUCXEplgAAPbkbg37btWnorTkLNnEsdOt/prAmH7bqR7Qt7fmNTTVTHr9/aeT//LQ87Vx0Yk+WXpwxx/m3/ev5z758ZNv3p7y2jMf7bjU5R97/t7Ft133wOHxo6cO2KfU/NT+9jSRSFG15V83xs74wwa/qGG/VL1a2+uVrYUbhhGhmCMCMRc27OoyeUAk/gB4EWM3iZ3mNrk7kTFLOJdVzNhN1JPIENZhBs5lFVCes1JKOynHNvOcs511WPScy9YJABbwJDIAYMZSCjQYYMLjG7iQ4IiIcSMnt7/09uNjm7UNhwFgV1NL3WEAgJ6MfcIwriqpRPrpj2u/euyvj7xiEQgEwDAukcPp6CwoOlLL8/xUmUyRTQghPlQsnF9VV7ZNIpYmOxw2n37yJyYqwXY5yc5g8erTH/xUVJIf+tWKj+a3Hf1mkd0wZ3/Y8KvrAAB0R5ePTw5UBjKsi9psZqW+IscZM/7WEm/HPJRQniPWtmo/i65CY24pBYehyUl5tpHn2A6OsbezdqOe8pwJ3InMLy9PaTFCQwImPL5BxbIM3bJ7TXxNfWWDVtf0kedCdEn947gY14nT5SdPHztxMCYjNcuQe2R3ZKfJkG+3Wz/blbPxEMdzbT6U7ACl1AAAH4WHRj6s79CNSHPfTfqkyppS9dsf/2P+p2+tXPXDmi9SC08fj2NYRtRp7PBLT8mqfeIPLx7hOJa88t5fZ7S0NoYAEDpu5OSy++94tAgAYP+RnYnLVn0y1eVySu686aF90ydepa2sKVV/+MXrsxjG3YfIHTc8mDt5/KzWvQe3RazbsmKsXK506Nt1AeGhkfoXn3pvt7c7bczKGK179+Uvlj358sPXVlUeGGbrqAtOmP7gcRFnV8ybcUt+S2tT4M7cbRmaqCytVwMdIpwWvdSiLQu0aMvFFl0FsA5Ljcui38a5bKUA0IB9syB0Nkx4fACltIkQ8oTRbFhgsZhOehKBy1kPJYRszDm846myqlNBp8oKjtrt1u8AAFiOze/dqHuHWCROmzBm+qQRw8Y1eDuWS6HTa4PffOG/q+UyOffI32+/pbah6lSbXis3mY3KT99auQoAoN3QJjkzP8/z5MPXl6/ZunttzLotP4yZPvGqTeGhUfbXn/tkk1ym4EorijQffvGv2ZPHz1oDANDW3hr06jMfrYqOiLU99vx9Sw4e3RM+dcIcn0gk5k6bX5LRUh+69/DejJq9nxAR4wjQ6bX+q7b+lCkOTS8Niki7rPMXXRjHOAXWtkqNtbXSz6wtpQ5Tq4V1mHNd5raTAFBFKcVxzhC6AEx4fITnYrWqF1ZVerL4aHVkWMwYl8vJpSRmvtnQXLMSAPb0wrp7FSFEkRSf9uBt1z/QoVKqB1TRenxMUlOgf5ALACAwINTQ2FyrTk/OMhhNBvW/PnhmyqisCfVzpy/6pQH55HEzawAARgwbq1+98Vs1AICLcQk++OiVKdq25iCBQEA7jR2aM/OHhUS2nWnTFB4a2d6sbVADgE8kPPNnXVvGcVyZtq1FHRIYJuO5iOa46MQ2f6WKGu0mhUCAl5XewnMM6awvCDXWF0itbdWUc9lKHcbWY5RzlQNAS0+quxFCbnhlGmQopaxG7V+RMH72qKtmLo7xU/kzny17Zzr4WMJDCCHhoZG/mzdzqX9mavaAKt0BABCJxL9UFwgIoSzHkuCgUOc7L325et/BbdG7D2zJPJK/P/EfT7y9DwBALJLwAAACgZDyPE8AAJb/9HmWSqW2f/TE8tU8T+Gu/1vwwC/rF4p+Xb9ASHmeI/23dxcnFArh2Udf39z1veOFh5v25uXEuCztEonKnQyiy8MxToGh5ki4vjxHbDc0nnAatTvB3eEcNgZH6DJhwjMIWW2W0g6DnvPL8mdKKgpVLsYJPtZYGQAgPCk+bcz1i26v93YgvaW1rUUmlUi5JfNvqYmOijf977t/z7zQ/HaHTRLgH2gVCkV05br/pVFKfSqpuVS/v/OxPRxPpx3c/fY1nCKsRRWR2WTRVYVFjr2xUKYOGXKPLF8O1mERtVcdDG+vOCB0GFtyXea2rZTSxosviRC6GEx4BiGO504dLzx8oLTyFN+srT/K8/xpX0p2CCHSiLDoO0dlTeQu1C27L2AYhggFwh5VGzRp65VffPfvGRSAAAAsnX9r3oXmX3L1zaff/++rV/3pmTsTE2NTm0Ui8YB+9FcoFMLDdz++P+vo7oSausqwQ/n7p/vxFOpzv5Ynz3ssh2cZHGW9Gy5rh6S9Ije8o+oQ7zBpdzPWjh2U0gHbjQFCvgh7Wkb9TiyWTL3l2vsevO/WR6q9/eTRxeQXHQn68vsPpn/4+vI13o5loOE4DvLy98d+tvzD6aHznltRvf7Z2+QyuZOTaPQuEPEuY0uYwj9CyxEh7xc5rCEkc07dUGv/4zBq5fry/aGdtUedDqN2C+sw7aOUdno7LoQGo6F1dUE+ISQwND09ebjV15OdZSs/zcjN2z38xsV3HfJ2LAORUCiE2OjEDo7nQFu4OSXIT8M++fDzO0sriyIra8pDG5s5WVx0rPx0RXEIbcyN1fGcIDx7YY234+4PNn2tSl+xP8hYf8LiMGpXcC5rLo6VhFDfwhIe1K8IIaEjh49/44Un323W+PkP6CocdHEOp0Pw1scvXG2124SpCWltv7vtkSPnznO04EB0WWVx1MZj+dLEq5/K8Uac/YFSHiyt5f768v3+5qZivcPYvJZnXUeH4pAMCHkDlvCg/iYO8A/iMdkZGmRSGf/8Y29sudA840ZNbQwKDDXvPLhrnstuEknkfgOqi4ILoZQHh1GrsGjLAo2NhUKrrqrJbmhcBpQvxF6OEepfmPCgfiUQCKOiwmN8uy4L9bvEuFRjUmyiqaJoc0r0AB+WgmOcAktrub+ltUJtbjlNXRZ9B2MzbmNshkIAqMC+cxDyDkx4UL8KCghJTkpIxz5a0G+MzR5fX7JlbQwADLiEx2HUyi3askCztlRobaumnNN62mHU5lGeLQcAnS89JYnQUIUJD+pXMqlMo5ApsToL/cakcbOqVm76YWTD4e+HRY2/udiXn9jiWZfAoqvQWFor1ObmEnCadUbWbtrlsrYXgruDQIe3Y0QInc13ryhoUBIIhQqJRIJF+ug3/P0CXHGRMRatrnRU9caX4+ThGTVR42/rt9IeSnkwt5QE6Mty/FzWdl4oUVChWA4iqYIIJQoilCgFAqGY2jrqqKW1knJOa5nD1JpHOVcZAGixFAch34YJD+pXErE0OTEutd3bcSDf9Pxjb27Q6ppUu/dvztpxaNcwl31RRV83YqaUB1PTqSB96V61RVdRazc0fwGUawYAmeclBwAZEIFcIJIoeMbRBO7BOm19GRdCqHdhwoP6m0AkEuOdMDovoVAIURGxlrtufvhQs6557smjP4yIn/7g8b7YFqU8GOtPhLSV7VXZ2qorHMaWTyjPlWBJDUKDEyY8qN8QQjQjh4+XSCUy7uJzo6FuweylJ4s+fXUqYzedFPdyKY+x4WRQa/F2P5u+9rSjs2ktAJRjooPQ4IYJD+pPmuDAUM7Xe1hGviE7c0xbfGSMqa5wU0rMhN5py8O5bMKWExui2ysPNNs7Gt4Hd9UUJjoIDQH4y4P6k6HD0IbnHOqx6RPn1DHaorgr7bqGUh6MjUWBlTvei20t2rzJ3tHwMqW0EpMdhIYO/PFB/UkqlcrxBwb12MzJ86uCFDJpR9Xh8MtZ3p3oFAZV7fpPfO2+z9s76/Jfddk6f8LhHBAaerBKC/UnlmUZ4u0gAABcLqdAJBLzWL3m2yQSCZ04ekrjxry9KUHJk7U9XY5SHowNhcH60j0qS1tVlRMbJCM05GHCg/qTzWq3CHieB28lGnWN1cqV674OraotZQghIqVCTSmllGUZkMsUiif/+HJNcFAo3v37kLnTF5XsPrRzocOolck04Rfs0I/nGGKsPxGiL89RWNuqKxydTT8DQCkmOgghTHhQf2IYxuWyO2xCpULV709q5ebtDvl21afCmvrK/zCMK9/zth8AcADAaPwCFucc3r7g+kV31vd3bKh7EWHRtmEpw9ryT27IiJ/++4LzzcM6raKO6sNh7RW5Iqex5YTD2LIF3ONWYaKDEAIATHhQP6KU0uSEdIvFahZ3TXgqqkvUJRWFgQDAJ8SmWFRKNaPxC3Rp1BpGKBRd9g9WUUl+gNPpEIwdObkdAGDbnnUxVTVlX7Mce6zLbJ1n/iCE7NiVs3nJwrk3CGRSOfYG7UOmT5xbceKb98fzHHNCIPy1Hye7oUlhqMkLNtTkcU6Tbp/L2r6LUtrizVgRQr4JEx7Ur8wWY/snX7+ZNmvqArtEJOHKq0+rDx/f56ioLt2qVKjsQQEhyUKh0F8gEARIxFLVkqtvYVKSMo1R4bE2sbhnHRaWVZ7y++6nzwM7jR0SkUgkys4cY5BIpLxSoW7neO5kd8tRSjvDQ6NO7Tu4LfnqWdc29d5eoys1dsTk5sjgFZyueEd8aObcOmPDyWBDTZ7coqs0OE2tP3Iu2yFKqcnbcSKEfBcmPKhf6fTa13R6bVJ51enpAoGQGE2GRqvNvP983fQTQgKNZsN9YpE4PDQ4Iu6mJfeYRmdP7OjobJfo2prliXGpZolE+puSmFOlBYGHj+9bzXFcTUhQ+KSte9ZOXHL1LQ3BQaFUIBAGXCi+1rbmZXsPbn9tWNooRWhwuON860f9TyAQwLjs8Q0/7dqcWVp9mHOZ2wocxpZdAFBGKcWOLBFCF0Wwihv5OkIIAYCrJo+b9URHp17LMIzdxTj1CbHJsVPGz7bPmbaopaW1UV5VV6YpKDwiLyo53l5dV/EapVRPCPFLScz4558eeIYaTQbpJ1+/VdDUUv/5hbYVERb9olymiFo872ZYuuDWxn7cVXQeFdUl6p05G4NOFOVZG1rqSh0O2/eUUhyPDSF0STDhQQMCIWRMcGDozfoO3SsAYPW8nRQVEXtvTGT8qLb21lKbzVKo02sLOZ4r7VpiRAiJT03MfFEilUrb9K2ntLqmVy+yLTUARM2YPO+Zvz7ySp1cpsASBC84XV6o2bFvQ0DR6eO6hqba1QzrKqCUurwdF0JoYMKEBw1oErEkjmGZIAAoopQy3c1HCAkHAAcAMJRSa3fzdZlfpVH7v3DT0ntDb7/+gZpeDBldAM/zcKq0IGDH3vWa4rKTjQ1NNT9zPHcSq60QQlcK2/CgAc3FuOoAoO5i81FKe9xpnQevVmuUwYGh3SZRqPfwPA8FRUeCduzboC6rPFXT2FL3P47jiumVjimBEEIemPAgdB6UUhsh5I19B7e/NHf6NV7rKHEoqKguUf+49qvgipqSsmZtw8ccx2JHgQihXocJD0Ldq9e2NdVX1pT6pSZl4iPPvYznedi+d33kui0rnJW1pW95SnQw0UEI9QlMeBDqBqWUavz88yqqT1+HCU/v6jR2iJev/jz64NG9hS2tjV9QSju9HRNCaHDDhAehCzCZjU2tbS0+MeDpYFFcdsL/u1Wf+Z8uP/mj2WLahg2SEUL9ARMehC7MZrYYseFsL+A4lmzasTpq445V5tqGylcYhqn0dkwIoaEDEx6ELkxXU18hd7mcAux1+fK1G9oky1Z+En204ECeVtf8DaXU7O2YEEJDCz56gtAFUEoNdY3VzctX/zfF27EMVCdO5QW+/v7T4btyNn2t1TV/jMkOQsgbsIQHoYtwMa7vjuTv/4tSoYpZfPXNzdjzcs8wDEPWblkRvXXPGn1NXcU7lNKL9peEEEJ9BXtaRqgHCCHqAE3QdYlxKdfdtOTe5rEjJ7dh3zzd0+qaZMtWfhJ5/OTh/W3t2uXnGxwWIYT6EyY8CPWQZxDT8RFh0QvjopPGPXDno6cT41It3o7L1+TlHwhZseYLaUX16a9sdutB7FsHIeQLMOFB6BIRQtQKufKh6Ii4uOsW3S6bO/2aZqFQNOS/SA6nXbB643cxO/dtbK5rrPqIUtrs7ZgQQugMTHgQukyEkICIsOi7UxIyRl0z7ybL2JGT9d6OyVsam+sU3/z4cfjJ4qM79R26lZRSh7djQgihrjDhQegKeKq5EmOjE++aPG5mws1L7m301wQOmQFHeZ6H3LzdYavWfyMoqyr+nGFc+ViFhRDyRZjwINQLCCEildJv/riRk29+/A8v1ikVqkH/JJdW1yRbtWFZxNGC3PLG5tr/Ukp13o4JIYS6g4+lI9QLKKUsAGwM8A9Sbtyx6upblt5X7+2Y+grDMGT73nWRW3atYWvqK76wO2y5ODwEQsjXYcKDUC/qNHZs2nNg65Qx2ZPUyQnpg66DPbvDJvx82btxh47tPajTa3/AQT8RQgMFdiSCUC+ilFqqass+/fzbdwPrGquV3o6nN9kdNuFn37wTl3N4x2adXvs5JjsIoYEE2/Ag1AekEumo0dkTn0pNGuYanj5qwD/BZXfYhJ98/VbcgSO7NnYaO36ilOK4YgihAQUTHoT6iFyuHON02qOzM8feOXPK1dal82+t9XZMl8Nqswg//ebtuNy83Rs8yQ5eNBBCAw5WaSHUR+x263FK6SatrqmlsblO7e14LofVZhF+8vVb8QeO7FqHyQ5CaCDDRssI9a1h/poAzbyZS2q9HcilsljNok++fivu0NE9a40mw8+Y7CCEBjIs4UGob5V3GNoNu3I2xns7kEvhTnbejM3N2/1zJyY7CKFBAEt4EOpbTofT5mQ5dsAkDBarWfTxV2/EHjq2b7XJ3Lkekx2E0GCAJTwI9SFKKe90Ole0G9psVptF6O14LsZsMYo+/OJfsYeO7fvJaDJgsoMQGjQw4UGoDxFCiItx2qtqyywnTuUFezueCzFbjKKPvnwj7vDxvSuNJsMGTHYQQoMJVmkh1LeC05KHP3v/7X82jc6e6LN98RhNneKPv3oj9kj+/h9MZuNmTHYQQoMNJjwI9S3CcSybnpLVKRD4ZoGq0dQp/ujLf8Ucyc9ZYbaYtmCygxAajDDhQaiPEEJShqWPfHrJvFtYlVLNejue8+k0dog/+vKNmLyC/SvMFtNWTHYQQoOVb95yIjQ4cGqVRjZzyvwWbwdyPp3GDvGHX/4rNq/gwHJMdhBCgx0mPAj1EaVCFWyzWUXtBp3U27Gcq6OzXfKfL16Pzcvfv8xsMW7HZAchNNhhlRZCfUSl9LtzwZzrzOGhUQ5vx9JVR2e75KMvXo8+eiL3G7PFtNPb8SCEUH/AEh6E+ohQKGzSd+iU3o6jq3ZDm+TD/70WfSR//9eY7CCEhhJMeBDqIx2d+l2Hj+fw3o7jDH27TvrhF69H553I/cpqs+z2djwIIdSfsEoLoT7icNhLgFJXRXWJWq3yYyQSGR/oH+TyRiwnTuUFLv/pc1VpZfF/rVbzfm/EgBBC3kSwrSJCfSckKOw9pUKtCAwIDpZJ5cpXn/nwcH9un2EYsnbLiuitu9e019RXfEQprevP7SOEkK/AEh6E+pC+Q/ecXKZ4bvrEq2SjsydU9ee2tbom2Tc/fhxZUHQkR6fXfk8ptfXn9hFCyJdgwoNQH6KUWiPCokROlwMiw2Ps/bXdw8f2hf6w9ktxWVXxJ06n4zA+do4QGuqwSguhPkYI8Q8NjrhtzIiJk+6/4y+NfdmOx+6wCX/asCxm1/7N9fWN1Z9QSn2y00OEEOpvmPAg1A8IIUShUC1cNPeGmx+6+4ma842rZbVZhA1NNSqT2SixO20ih8MucjjtAqvNwttsVmqzW8Bmt4LdYQOGYQRymZyXy5WgcL+IUqESlFQUCQtPH9vSYdD/TCl1emFXEULIJ2GVFkL9gFJKCSFbDx3bN3JE5tjozLQRHfVNNaqmlnp1Q3MtrW+sBn1HK8cwTK3L5Wxzupxmm8NqdjhsZp7nHQBw7osDACkAyM55GSilJV7aTYQQ8llYwoNQPyKERCbFpz0vEAh5F+Osbu/QlVus5noAaAEAPaXUZ/rtQQihwQQTHoT6GSFECgAubEiMEEL9BxMehBBCCA16OLQEQgghhAY9THgQQgghNOhhwoMQQgihQQ8THoQQQggNepjwIIQQQmjQw4QHIYQQQoMeJjwIIYQQGvQw4UEIIYTQoIcJD0IIIYQGPUx4EEIIITToYcKDEEIIoUEPEx6EEEIIDXqY8CCEEEJo0MOEByGEEEKDHiY8CCGEEBr0MOFBCCGE0KCHCQ9CCCGEBj1MeBBCCCE06GHCg3oNIcRCCEn0dhx9iRByByFkew/nfZEQ8t0lrJsSQpI9f39KCHn+cuM8Z72xns9G6Pn/XkLIA72xbs/6thBC7umt9V3Cdl8hhOgJIdpLXK5X9/+cdZ97rMMIITmEEDMh5B1CyDOEkP/1wXZ7fF76IkJIvOf8F3k7FjR4YcKDLhkhpJYQYvdc2M+8IimlKkpp9WWu82ZCSInnh+E0IeTaS1h2GCFkOyHEQAjpJIQcJ4QsvJw4zlnvby7ClNLllNJ5V7rui6GUPkwp/efF5vN8FnMvsq56z2fDXWlc50viKKULKKXfXOm6LzGOGAB4AgAyKaXh/bntCznPsX4QAPQA4EcpfYJS+hql9IqSLW+el/2lL5NSNHRhwoMu12LPhf3Mq/lyV0QIiQKA7wDgcQDwA4CnAOB7QkhoD1exAQB2AEAYAIQCwJ8BwHS58Qwmg/iOOQ4A2imlOm8HchFxAHCaUkq9HUhvGMTnExoCMOFBveacKpkgQsgGQoiJEHLUU/1woJtFowGgk1K6hbptAgArACT1YJvBAJAAAP+llLo8r1xK6QHP9JmEkEZPVYLeUyJyR5flFxFCCjxxNhBCXuyy+hzPv52eUqxJhJB7u+4HIeR9z3ImT8nStEs4Xk8RQloIIc2EkN+dM+1rQsgrZ/aRELLRU3rVQQjZTwgREEK+BYBYANjgie+vXe7+7yeE1APA7m6qC5IIIXmEECMhZB0hJLDr8TonllpCyFxCyHwAeAYAbvFs76Rn+i934564niOE1BFCdISQZYQQjWfamTjuIYTUez6PZy9wfDSe5ds863vOs/654E5wIz1xfN3N8ksJISc8n02VJ/5z50kihOwmhLR74llOCPHvMv1vhJAm4i55LCOEzPG8P54Qcsyz7lZCyLvn7KPIE9c9APBXT5xzyTklZISQqYSQg57PtoEQcq/n/Ss9LycT9/fO6Pl3cpdpewkh/ySE5Hr2aztxf4/OdwzPfH/+RtxVh195PoO/e45pOyFkZZfzR0YI+c7zfqdn22GeaWeVRp57LLq8/yoATAOADz379yFxe89zThkJIYWEkOHnixmh7mDCg/rKR+BOWsLBfdG/UBuPYwBQQghZQggREnd1lhMACgEACCG3E0IKu1m2HQAqAeA7Qsi1Zy6u5wgHgGAAiPLE8TkhJM0zzQoAdwOAPwAsAoA/kF+r06Z7/vX3lGIdOs+6jwLASAAIBIDvAWAVIUR2gX0Fzz7NB4AnAeAqAEgBgAtVSz0BAI0AEALuUqxnAIBSSu8CgHr4tbTtzS7LzACADAC4upt13g0AvwOASABgAeCDi8VMKd0KAK8BwI+e7Y04z2z3el6zACARAFQA8OE580wFgDQAmAMA/yCEZHSzyf8AgMaznhmemO+jlO4EgAUA0OyJ495zFySEjAeAZeAuLfQH92dZe55tEAB4HdzHIQMAYgDgRc860gDgEQAYRylVg/tYnlnH+wDwPqXUD9yJ+cpzV+yJazkAvOmJc+c5McYCwBbPfoaA+zw64Zl82eelJ/nYBO7PNAgA3gWATYSQoC6z3Q4A94G7RFQC7nOxO+HgPr/jwF1F92cAuBbcn0kkABjA/X0HcH+/NOA+jkEA8DAA2C+w7t+glD4LAPsB4BHP/j0CAPM8+50K7mNyC7i/+wj1GCY86HKt9dzBdRJC1nadQNwNNm8AgBcopTZK6WkA6LaNh6e9wzJwJwxOz78PUUqtnunfU0qzu1mWgvvHtRYA3gGAFuJuJJpyzqzPU0qdlNJ94P4xuNmz/F5KaRGllKeUFgLACnBfyHuEUvodpbSdUspSSt8BACm4f8wv5mYA+IpSesqzny9eYF4GACIAII5SylBK9/egiuRFSqmVUtrdj823Xbb9PADc7PncrtQdAPAupbSaUmoBgKcB4FZydunSS5RSO6X0JACcBIDfJE6eWG4BgKcppWZKaS24P9+7ehjH/QDwJaV0h+ezbaKUlp47E6W00jOPk1LaBu7k4Mznz4H788wkhIgppbWU0irPNAYAkgkhwZRSC6X0cA/j6uoOANhJKV3h+VzbKaUnPHFdyXm5CAAqKKXfes7LFQBQCgCLu8zzFaW03HN+rAR3stUdHtzfZadn/ocA4FlKaSOl1Anuc/dGz2fMgDvRSaaUcpTS45TS3qheZgBADQDpAEAopSWU0pZeWC8aQjDhQZfrWkqpv+d17TnTQgBABAANXd5rgG54irnfBICZ4L7bnAEA/yOEjOxJIJ4L7yOU0iRw34VawZ1AnWE4kzx51IH7zhQIIRMIIXuIu9rECO470vMW73cT+xPE3djaSAjpBPfdbU+Wj4Szj0ndBeZ9C9ylWNsJIdWEkL/3YP3dHu/zTK8DADFcwn5fQCScvS914D4Xupa8dX2qygbuUqBzBYP7XDh3XVE9jCMGAKouNhMhJJQQ8oOn2soE7rZkwQDuZAgA/gLuH3SdZ75Iz6L3g7u0odRTbXNND+PqUYxXeF6e+xkA/PbY9eQzOKONUuro8v84AFhz5oYHAErAnRyGAcC3ALANAH4g7qraNwkh4h7G3S1K6W5wlxR+BACthJDPCSF+V7peNLRgwoP6Qhu4q0miu7wXc4H5RwJADqX0mOeO9igAHIELV/OcF6W0AdwXxa71+wGEEGWX/8cCwJlG1t8DwHoAiKGUagDgU3BXcwAAXLAUhbjb6/wN3KU1AZRSfwAwdln+Qlrg7GMS292MnhKOJyilieC+S3+ceNqSXCDGi5UAnbttBtxPE1kBQHFmgqekJeQS1tsM7h/ErutmAaD1IsudS++J6dx1NfVw+QboQRswcFdnUQDI9lRP3QldPj9P6eJUTxwUAN7wvF9BKb0N3FVCbwDAT+ecY1ca42Wfl/DbzwDg0o7duc7dXgMALOhyw+NPKZV5StEYSulLlNJMAJgMANeAu2oO4JxzC9xVZT3dJlBKP6CUjgGAYeBONp+6zP1BQxQmPKjXeaqofgaAFwkhCkJIOvx60TufowAw7UyJDiFkFLgbLXbXbucXhJAAQshLhJBkT2PKYHC3TTm3iuElQojEk6RcAwCrPO+rAaCDUurwtPu4vcsybeAuzu+ubyE1uH/M2wBARAj5B7ifMuuJlQBwLyEkkxCiAIAXLrCP13j2j4D76TPO8wJwJxKX0/fRnV22/TIA/OT53MoBQEbcjWbFAPAcuKt1zmgFgHhCSHfXjhUA8BghJIEQooJf2/ywlxKcJ5aVAPAqIURNCIkD91N8Pe3X6AsAuI8QMsdzXkR5zsNzqQHAAu4GwFHQ5UeUEJJGCJlNCJECgAPcbVE4z7Q7CSEhlFIeADo9i1zqY//LAWAucXfJICLuhv4ju8R1ueflZgBI9bR9ExFCbgGATADYeInxdedTcH8ucQAAhJAQQshSz9+zCCFZnkTZBO6k9cxxOQHu6k0xIWQsANx4gW2cdV4TQsZ5Sr3E4E6cHHDpxxsNcZjwoL7yCLird7TgLuZeAe72OQAAQAgpJp6npTztal4E912yGQBWA8BrlNLtnnnvIIQUd7MdFwDEA8BOcF9gT3m2c2+XebTgbljZDO4fmYe7tOf4IwC87NnuP6BL41NKqQ0AXgWAXE/x/cRztr0N3I1Oy8FdZeCAi1clnVn3FgD4NwDsBnd11e4LzJ7i2T8LABwCgI8ppXs9014HgOc88V2o4em5vgWAr8F9bGTgbogKlFIjuI/J/8BdImAFd4PpM84kiu2EkPzzrPdLz7pzAKAG3MfkT5cQV1d/8my/GgAOgLvU48ueLEgpzQN3o9z3wF3qtg9+W+oBAPASAIz2zLMJ3In6GVIA+Be4S5u04C7NecYzbT4AFBNCLOBuwHzrOdU+PYmxHgAWgrtRege4E4Iz7Zku+7yklLaDO6l/AtwNe/8KANdQSvWXEt8FvA/u0qftnvgOA8AEz7RwAPgJ3N/FEnAf9zNJ6vPgLtEygPu4f3+RbdxI3H1rfQDuG4n/epat8+zX2720P2iIIBdv+4jQlSOEvAEA4ZTSfu2RlxAyEwC+o5RGX2RWhBBCgxiW8KA+QQhJJ4RkE7fx4G7kucbbcSGEEBqasNdM1FfU4K7GigQAHbgfKV7n1YgQQggNWVilhRBCCKFBD6u0EEIIITToYcKDEEIIoUEPEx6EEEIIDXqY8CCEEEJo0MOEByGEEEKDHiY8CCGEEBr0/h9ZCFT6nEFqcQAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#plot clustering results for two different years\n", "f, ax = plt.subplots(1, figsize=(10, 12))\n", "#plot cluster results\n", "poly = poly.drop('coords', axis = 1)\n", "poly.assign(lbls=cls)\\\n", " .plot(column='lbls', categorical=True, linewidth=1, alpha=0.5, ax=ax,legend = True,cmap = 'Accent', edgecolor = 'black')\n", "#add labels for geographical units\n", "poly['coords']=poly['geometry'].apply(lambda x:x.representative_point().coords[:])\n", "poly['coords']=[coords[0] for coords in poly['coords']]\n", "for idx, row in poly.iterrows():\n", " ax.annotate(text=row['Name'],xy=row['coords'],va='center',ha='center',alpha = 0.8, fontsize = 10)\n", "plt.title('Fig.8: Spatial distribution of classification results', y=-0.01)\n", "#remove axes and set aspect ratio so that the data units are the same in every direction\n", "ax.axis('off')\n", "ax.axis('equal')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the above Figure 7 and Figure 8 we can see a few striking differences across clusters, or classes. For Class 4, only one administrative area (i.e. Huangpu area/黄浦区) is grouped, displayed in the middle of north-east areas. The mean values for this class are mostly high in both years except a couple of features such as v_mean, LBP4 and LBP9 features. The brightness (v_mean) for this area is highly low and it became completely black over time. H_mean value is high in both years, demonstrating that the dominating colour is blue, which represent water. This corresponds to famous area of The Bund, with its river skyline, which is part of this polygon. The vegetation built-up features indicate that this area has experienced a remarkable change, from more vegetation and few buildings to less vegetation and completely constructed/urbanisation. \n", "\n", "Class 0 and Class 1 are relatively consistent compared to other classes, implying that the urban areas in purple and green colours almost remained unchanged during the past 35 years. Besides, these two classes have similar transformation such as more vegetation coverage and less buildings for the current year of 2019. However, Class 0 has more brightness and more green colour based on v_mean, h_mean and veg_mean features, and Class 1 has higher h_mean, h_std, h_skew and built-up_mean, implying these two areas have water covered and were highly constructed. \n", "\n", "Class 2 distributed at north and middle-west areas in the map, which is extremely diverse and unique among all categories. It has the highest brightness features and LBP8 texture features, while the rest mean values of colour and texture features are highly low, especially for LBP9 where almost zero values in both years. The values for h_mean, s_mean and v_mean display that the primary colour for these areas is red with little grey and much brightness, representing that these areas include more bare ground or soil and thus probably rural areas. Adversely, Class 5 has zero values for LBP8 but highest values for LBP9 in both years. It contains only one administrative area (i.e. Zhabei area/闸北区), surrounded by Class 4 and Class 0. Similarly, the area in Class 5 has more vegetation but slightly less built-up areas over the past years. Class 3 contains two areas distributed at the south and surrounded by Class 1 from the map. The feature values in Class 3 are mostly extremely high, while the veg_mean and built-up_mean for current year are the least, thus indicating that these areas have more water over the time. \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusion\n", "\n", "\n", "Urbanisation has significantly changed the interaction between humans and the surrounding environment, which poses new challenges in a multitude of fields including construction and city planning, hazard mitigation or disease control. \n", "It is essential to quantify and assess urbanisation over time to enable policy makers and planners to make informed decisions about future urban changes. The sustainability of urban spaces will become particularly important in the light of future climate change. Satellite imagery could play a vital role in assessing cities for their livability by i.e. quantifying the greenspace to built environment ratio.\n", "This notebook shows the potential of open source satellite imagery to exploring urban changes and proposes a simple method framework for automatic data collection and features extraction to determine urbanisation over time using Python as a tool. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### References\n", "\n", "**Barsi, J. A.**, Lee, K., Kvaran, G., Markham, B. L., & Pedelty, J. A. (2014a). The spectral response of the Landsat-8 operational land imager. Remote Sensing, 6(10), 10232-10251.\n", "\n", "**Barsi, J. A.**, Schott, J. R., Hook, S. J., Raqueno, N. G., Markham, B. L., & Radocinski, R. G. (2014b). Landsat-8 thermal infrared sensor (TIRS) vicarious radiometric calibration. Remote Sensing, 6(11), 11607-11626.\n", "\n", "**Burchfield, M**., Overman, H. G., Puga, D., & Turner, M. A. (2006). Causes of sprawl: A portrait from space. The Quarterly Journal of Economics, 121(2), 587-633.\n", "\n", "**Clark, D.** (2004). Urban world/global city. Routledge.\n", "\n", "**Glaeser, E. and Henderson, J.V.** (2017). Urban economics for the developing world: An introduction. Journal of Urban Economics, 98, pp.1-5.\n", "\n", "**Giada, S.**, De Groeve, T., Ehrlich, D., & Soille, P. (2003). Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania. International Journal of Remote Sensing, 24(22), 4251-4266.\n", "\n", "**Kohli, D., Sliuzas, R. and Stein, A.** (2016). Urban Slum detection using texture and spatial metrics derived from satellite imagery. Journal of Spatial Science, 61(2), 405 - 426.\n", "\n", "**Kit, O. and Lüdeke,M.** (2013). Automated detection of slum area change in Hyderabad, India using mulittemporal satellite imagery.Journal of Photogrammetry and Remote Sensing, 83, 130 - 137. \n", "\n", "**Knight, E. J., & Kvaran, G.** (2014). Landsat-8 operational land imager design, characterization and performance. Remote Sensing, 6(11), 10286-10305.\n", "\n", "**Ibrahim, M. R.**, Haworth, J., & Cheng, T. (2020). Understanding cities with machine eyes: A review of deep computer vision in urban analytics. Cities, 96, 102481.\n", "\n", "**Ministry of Civial Affairs of the People's Republic of China** (2018). Change of administrative divisions at or above the county level. [online] Available at: http://202.108.98.30/description?dcpid=1 [Accessed 10 Oct. 2019]\n", "\n", "**Roy, D. P.**, Wulder, M. A., Loveland, T. R., Woodcock, C. E., Allen, R. G., Anderson, M. C., ... & Scambos, T. A. (2014). Landsat-8: Science and product vision for terrestrial global change research. Remote sensing of Environment, 145, 154-172.\n", "\n", "**NASA**, 2019. Landsat Science. [online] Available at: https://landsat.gsfc.nasa.gov/ [Accessed 10 Sep. 2019]\n", "\n", "**NASA**, 2000. Normalized Difference Vegetation Index (NDVI). [online] Available at: https://earthobservatory.nasa.gov/features/MeasuringVegetation/measuring_vegetation_2.php [Accessed 30 Oct. 2019]\n", "\n", "**Noah Keen**, \"Color Moments\", February 2005.\n", "\n", "**Ojala, T., Pietikäinen, M. and Harwood, D.** (1996), A Comparative Study of Texture Measures with Classification Based on Feature Distributions. Pattern Recognition 19(3):51-59.\n", "\n", "**Pedregosa, F.**, Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., ... & Vanderplas, J. (2011). Scikit-learn: Machine learning in Python. Journal of machine learning research, 12(Oct), 2825-2830.\n", "\n", "**United Nations, Department of Economic and Social Affairs, Population Division** (2019). World Urbanization\n", "Prospects 2018: Highlights (ST/ESA/SER.A/421).\n", "\n", "**Zha, Y., J. Gao, and S. Ni** (2003). \"Use of Normalized Difference Built-Up Index in Automatically Mapping Urban Areas from TM Imagery.\" International Journal of Remote Sensing 24, 3, 583-594." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.11" } }, "nbformat": 4, "nbformat_minor": 4 }