{ "cells": [ { "cell_type": "markdown", "id": "872a627f", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "

GEOG 172: INTERMEDIATE GEOGRAPHICAL ANALYSIS

\n", "

Evgeny Noi

\n", "

Lecture 05: GeoVisualization

" ] }, { "cell_type": "markdown", "id": "ce2def38", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Plan for Lecture \n", "\n", "1. Announcements \n", "2. Geovisulization \n", "3. Geographical Analysis Workflow\n", "4. Choropleth mapping \n", "5. Classification Types" ] }, { "cell_type": "markdown", "id": "fcfffe7e", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# GeoVisualization \n", "\n", "* Process of interactively visualizing geographic information in any of the steps in spatial analyses, \n", "* Originated in cartography, geovis was pioneered under the ledership of Alan MacEachren (Penn State), who developed tools and methods for interactive exploratory data analysis. \n", "* A core argument for geovisualization is that visual thinking using maps is integral to the scientific process and hypothesis generation, and the role of maps grew beyond communicating the end results of an analysis or documentation process. \n", "* Geovis interacts with cartography, visual analytics, information visualization, scientific visualization, statistics, computer science, art-and-design, and cognitive science. \n", "\n", "*Source: https://gistbok.ucgis.org/bok-topics/geovisualization* " ] }, { "cell_type": "markdown", "id": "8cdf435b", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "|||\n", "|---|---|\n", "|||\n", "|Cartography Cube|Swoopy Framework|" ] }, { "cell_type": "markdown", "id": "284db83c", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# What does geoviz look like in practice? \n", "\n", "" ] }, { "cell_type": "markdown", "id": "9c7b9644", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Skills for GeoVisualization \n", "\n", "* GUI-based tools and scripting languages (Processing, Python, D3JS)\n", "* Data processing skills\n", "* Analytical skills (statistics)\n", "* Visualization skills" ] }, { "cell_type": "markdown", "id": "69f50b87", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Typical Geovisualization Workflow \n", "\n", "* Raw data contains more information than we can visualize effectively \n", "* Thus, good understanding of visulization techniques is required \n", " * cluttered displays, overplotting\n", " * --> aggregate data, highlighting interesting aspects of data\n", " * if visualization is interative a **user** can explore the data and find **interesting** \n", "* visual displays \n", "* visual variables (Bertin) \n", "* UI and UX design " ] }, { "cell_type": "markdown", "id": "28dfa6ab", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Typical Data Analysis (Lab) Workflow \n", "\n", "* **Find the data (Cal Fire)**\n", "* **Pre-process the data: import, inspect visually, look at missing values, filter, drop.**\n", "* **Exploratory Data Analysis (GEOVIZ). Generate visual and pose interesting questions about data (descriptive statistics)**\n", "* Data Analysis (inferential statistics) \n", "* Present Findings" ] }, { "cell_type": "markdown", "id": "ce345f23", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Data Analysis Example - California Wildfires \n", "\n", "1. Finding data \n", " 1. Calfire publishes data in .gdb format, which is not straight-forward to analyze in Python (What software can we use to analyze it?) \n", " 2. Use terminal command 'wget' to download the data via URL from the internet \n", " 3. Find and download mannually ([try it now](https://gis.data.ca.gov/maps/CALFIRE-Forestry::california-fire-perimeters-all-1))\n", " 4. Host on web services that provide readable url links and read via Pandas 'read_csv' function" ] }, { "cell_type": "markdown", "id": "aaef4ab6", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Brainstorm Exercise\n", "\n", "> Working with your table, illicit interesting questions about wildfires in CA\n", "\n", "> Think about variables that are already in the data set \n", " \n", "> What new variables can we generate that will help us answer the questions " ] }, { "cell_type": "code", "execution_count": 1, "id": "69421369", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "# copied form the lab " ] }, { "cell_type": "markdown", "id": "e4b3bd55", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Data Analysis Example - California Wildfires \n", "\n", "2. Pre-process the data \n", " 1. remove variables that you will not be using (if necessary) \n", " 2. subset the data to your study area \n", " 3. convert variables for calculation (float --> int; string --> datetime; etc.) " ] }, { "cell_type": "markdown", "id": "c34757e0", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Note on naming conventions in Python\n", "\n", "* Never use the characters ‘l’ (lowercase letter el), ‘O’ (uppercase letter oh), or ‘I’ (uppercase letter eye) as single character variable names. In some fonts, these characters are indistinguishable from the numerals one and zero. When tempted to use ‘l’, use ‘L’ instead.\n", "* Class names should normally use the CapWords convention. But we do not use classes in this class! \n", "* Function names should be lowercase, with words separated by underscores as necessary to improve readability. Variable names follow the same convention as function names.\n", "\n", "More info in official [Python docs](https://peps.python.org/pep-0008/#prescriptive-naming-conventions) " ] }, { "cell_type": "code", "execution_count": 2, "id": "16a68765", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "import pandas as pd\n", "import geopandas as gpd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 3, "id": "c3b79eac", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5250, 8)\n", "\n" ] } ], "source": [ "fires = gpd.read_file('https://github.com/barguzin/geo_data/raw/main/fires.zip')\n", "print(fires.shape) \n", "print(type(fires))" ] }, { "cell_type": "code", "execution_count": 4, "id": "62ec9459", "metadata": { "slideshow": { "slide_type": "subslide" } }, "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", "
YEAR_INC_NUMUNIT_IDALARM_DATECONT_DATECAUSEGIS_ACRESgeometry
0202000013212NEU2020-06-182020-06-2311.0109.602280POLYGON ((-116841.251 97942.565, -116286.032 9...
1202000011799NEU2020-06-012020-06-042.0685.585022POLYGON ((-117328.400 90212.407, -117226.732 8...
2202000007619NEU2020-03-312020-04-019.012.931545POLYGON ((-110213.270 105975.579, -110066.641 ...
3202000008471NEU2020-04-142020-04-1918.010.315964POLYGON ((-111793.600 164243.615, -111624.716 ...
4202000015865BEA2020-07-152020-07-1614.0376.910400POLYGON ((-118955.900 122883.508, -118926.056 ...
\n", "
" ], "text/plain": [ " YEAR_ INC_NUM UNIT_ID ALARM_DATE CONT_DATE CAUSE GIS_ACRES \\\n", "0 2020 00013212 NEU 2020-06-18 2020-06-23 11.0 109.602280 \n", "1 2020 00011799 NEU 2020-06-01 2020-06-04 2.0 685.585022 \n", "2 2020 00007619 NEU 2020-03-31 2020-04-01 9.0 12.931545 \n", "3 2020 00008471 NEU 2020-04-14 2020-04-19 18.0 10.315964 \n", "4 2020 00015865 BEA 2020-07-15 2020-07-16 14.0 376.910400 \n", "\n", " geometry \n", "0 POLYGON ((-116841.251 97942.565, -116286.032 9... \n", "1 POLYGON ((-117328.400 90212.407, -117226.732 8... \n", "2 POLYGON ((-110213.270 105975.579, -110066.641 ... \n", "3 POLYGON ((-111793.600 164243.615, -111624.716 ... \n", "4 POLYGON ((-118955.900 122883.508, -118926.056 ... " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fires.head()" ] }, { "cell_type": "code", "execution_count": 5, "id": "f4d8c242", "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# convert data types \n", "fires['ALARM_DATE'] = pd.to_datetime(fires.ALARM_DATE)\n", "fires['CONT_DATE'] = pd.to_datetime(fires.CONT_DATE)\n", "\n", "# calculate duration\n", "fires['dur_days'] = (fires.CONT_DATE - fires.ALARM_DATE).dt.days" ] }, { "cell_type": "code", "execution_count": 6, "id": "af0fcc4f", "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "# drop super long fires \n", "\n", "fires = fires.loc[fires.dur_days<365]" ] }, { "cell_type": "code", "execution_count": 7, "id": "164bce68", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fires_per_year = fires.groupby(\"YEAR_\")[\"INC_NUM\"].count().reset_index()\n", "fires_per_year.set_index('YEAR_', inplace=True)\n", "fires_per_year.plot(figsize=(16,4))" ] }, { "cell_type": "code", "execution_count": 8, "id": "9b8d2e8c", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(205, 9)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\noibar\\AppData\\Local\\Temp\\ipykernel_22136\\270685699.py:6: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " fires2021.drop('UNIT_ID', inplace=True, axis=1)\n", "C:\\Users\\noibar\\anaconda3\\envs\\geo_env\\lib\\site-packages\\geopandas\\geodataframe.py:1456: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " super().__setitem__(key, value)\n", "C:\\Users\\noibar\\anaconda3\\envs\\geo_env\\lib\\site-packages\\geopandas\\geodataframe.py:1456: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " super().__setitem__(key, value)\n", "C:\\Users\\noibar\\anaconda3\\envs\\geo_env\\lib\\site-packages\\geopandas\\geodataframe.py:1456: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " super().__setitem__(key, value)\n" ] } ], "source": [ "# subset the data to only include one year \n", "fires2021 = fires.loc[fires['YEAR_']=='2021']\n", "print(fires2021.shape) \n", "\n", "# drop a variable \n", "fires2021.drop('UNIT_ID', inplace=True, axis=1) \n", "\n", "# convert data types \n", "fires2021['ALARM_DATE'] = pd.to_datetime(fires2021.ALARM_DATE)\n", "fires2021['CONT_DATE'] = pd.to_datetime(fires2021.CONT_DATE)\n", "\n", "# calculate duration\n", "fires2021['dur_days'] = (fires2021.CONT_DATE - fires2021.ALARM_DATE).dt.days\n", "\n", "# get the month start of fires \n", "fires2021['month_started'] = fires2021.ALARM_DATE.dt.month" ] }, { "cell_type": "code", "execution_count": 9, "id": "19debace", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\noibar\\anaconda3\\envs\\geo_env\\lib\\site-packages\\geopandas\\geodataframe.py:1456: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " super().__setitem__(key, value)\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
YEAR_INC_NUMALARM_DATECONT_DATECAUSEGIS_ACRESgeometrydur_daysmonth_starteddow
50382021000022462021-03-272021-03-2918.0873.391724POLYGON ((-134941.882 436471.047, -135837.750 ...235
50392021000004682021-01-192021-01-229.020.307356MULTIPOLYGON (((-189428.399 -101523.942, -1894...311
50402021000004892021-01-192021-01-2211.033.259224MULTIPOLYGON (((-163472.149 -114234.730, -1633...311
50412021000004902021-01-192021-01-2211.019.725822POLYGON ((-189028.449 -89148.863, -189013.258 ...311
50422021000005082021-01-192021-01-219.021.936876MULTIPOLYGON (((-192632.039 -90258.236, -19255...211
\n", "
" ], "text/plain": [ " YEAR_ INC_NUM ALARM_DATE CONT_DATE CAUSE GIS_ACRES \\\n", "5038 2021 00002246 2021-03-27 2021-03-29 18.0 873.391724 \n", "5039 2021 00000468 2021-01-19 2021-01-22 9.0 20.307356 \n", "5040 2021 00000489 2021-01-19 2021-01-22 11.0 33.259224 \n", "5041 2021 00000490 2021-01-19 2021-01-22 11.0 19.725822 \n", "5042 2021 00000508 2021-01-19 2021-01-21 9.0 21.936876 \n", "\n", " geometry dur_days \\\n", "5038 POLYGON ((-134941.882 436471.047, -135837.750 ... 2 \n", "5039 MULTIPOLYGON (((-189428.399 -101523.942, -1894... 3 \n", "5040 MULTIPOLYGON (((-163472.149 -114234.730, -1633... 3 \n", "5041 POLYGON ((-189028.449 -89148.863, -189013.258 ... 3 \n", "5042 MULTIPOLYGON (((-192632.039 -90258.236, -19255... 2 \n", "\n", " month_started dow \n", "5038 3 5 \n", "5039 1 1 \n", "5040 1 1 \n", "5041 1 1 \n", "5042 1 1 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# EXERCISE\n", "\n", "fires2021['dow'] = fires2021.ALARM_DATE.dt.dayofweek # 0-Monday, 6-Sunday\n", "fires2021.head()" ] }, { "cell_type": "code", "execution_count": 10, "id": "356d1a7a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "YEAR_ object\n", "INC_NUM object\n", "ALARM_DATE datetime64[ns]\n", "CONT_DATE datetime64[ns]\n", "CAUSE float64\n", "GIS_ACRES float64\n", "geometry geometry\n", "dur_days int64\n", "month_started int64\n", "dow int64\n", "dtype: object" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fires2021.dtypes" ] }, { "cell_type": "markdown", "id": "19567c97", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Exploratory Data Analysis\n", "\n", "1. Think about how numbers (statistics), non-spatial plots and geographic maps can help answer the questions you posed in the previous exercise? \n", "\n", "> useful Python functions: groupby(), reset_index(), set_index(); mean(), median(), sum(); plot(); " ] }, { "cell_type": "code", "execution_count": 11, "id": "b9c8b64f", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "average duration of fires in 2021: 17.01951219512195\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# find average dur of fires \n", "print('average duration of fires in 2021:', fires2021.dur_days.mean())\n", "\n", "# add labels \n", "labs = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n", "\n", "# get unique values and tally them \n", "# this works well for count() function \n", "# when you need to calculate total number of something\n", "ax = fires2021.month_started.value_counts().sort_index().plot(kind='bar')\n", "ax.set_xticklabels(labs, rotation=45, fontsize=14);" ] }, { "cell_type": "code", "execution_count": 12, "id": "9bcd0e9f", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from matplotlib.ticker import FormatStrFormatter\n", "# another way to aggregate data \n", "# when you need mean() or sum()\n", "# total acreage by day of week for start of the fire \n", "fires_per_dow = fires2021.groupby('dow')['GIS_ACRES'].sum().reset_index()\n", "fires_per_dow.set_index(\"dow\", inplace=True)\n", "\n", "# add labels \n", "labs = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']\n", "\n", "ax = fires_per_dow.plot(kind='bar')\n", "ax.set_xticklabels(labs, rotation=45, fontsize=14);\n", "ax.set_xlabel(''); # remove 'dow' label \n", "\n", "ax.yaxis.set_major_formatter(FormatStrFormatter('%.0f'))" ] }, { "cell_type": "markdown", "id": "bbd512f8", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Add a spatial component to our analysis \n", "\n", "### Because this is an Intermediate Geographic Analysis Course \n", "\n", "#### 🙃" ] }, { "cell_type": "code", "execution_count": 13, "id": "0fbc5af8", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(58, 2)\n", "epsg:3310 epsg:3310\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
county_namegeometry
0AlamedaMULTIPOLYGON (((-203097.930 -10755.124, -20094...
1AlpinePOLYGON ((-6288.628 76303.334, 3042.528 84440....
2AmadorPOLYGON ((-89497.637 53052.537, -89492.962 546...
3ButtePOLYGON ((-161923.480 144686.420, -164426.638 ...
4CalaverasPOLYGON ((-76796.914 1747.218, -80494.997 6443...
\n", "
" ], "text/plain": [ " county_name geometry\n", "0 Alameda MULTIPOLYGON (((-203097.930 -10755.124, -20094...\n", "1 Alpine POLYGON ((-6288.628 76303.334, 3042.528 84440....\n", "2 Amador POLYGON ((-89497.637 53052.537, -89492.962 546...\n", "3 Butte POLYGON ((-161923.480 144686.420, -164426.638 ...\n", "4 Calaveras POLYGON ((-76796.914 1747.218, -80494.997 6443..." ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# read CA counties \n", "ca_counties = gpd.read_file('https://raw.githubusercontent.com/codeforgermany/click_that_hood/main/public/data/california-counties.geojson')\n", "ca_counties = ca_counties[['name', 'geometry']]\n", "ca_counties.columns=['county_name', 'geometry']\n", "\n", "# reproject \n", "ca_counties = ca_counties.to_crs(fires2021.crs)\n", "\n", "print(ca_counties.shape)\n", "print(ca_counties.crs, fires2021.crs)\n", "\n", "ca_counties.head()" ] }, { "cell_type": "markdown", "id": "1b35307a", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Spatial Join 101 \n", "\n", "* A spatial join uses binary predicates (basic geometric operations) such as intersects and crosses to combine two GeoDataFrames based on the spatial relationship between their geometries. \n", "* A common use case might be a spatial join between a point layer and a polygon layer where you want to retain the point geometries (**target features**) and grab the attributes of the intersecting polygons (**join features**). \n", "\n", "" ] }, { "cell_type": "markdown", "id": "2989f613", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "* A one-to-one operation will join a single feature from the join features into the target features. \n", "\n", "\n", "* One-to-many operation will join all the features by creating multiple overlapping records. Each duplicate record contains the records from the joining features.\n", "" ] }, { "cell_type": "code", "execution_count": 14, "id": "5e5e77d0", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(205, 10)\n", "(226, 12)\n" ] } ], "source": [ "print(fires2021.shape) \n", "fires2021_with_counties = gpd.sjoin(fires2021, ca_counties)\n", "print(fires2021_with_counties.shape) " ] }, { "cell_type": "markdown", "id": "ea9372e3", "metadata": {}, "source": [ "# Disclaimer \n", "\n", "### When we do spatial join on the data with two polygon layers that are not aligned (i.e. we have fires geometries that are not contained within just one county), we will end up with duplicated records! \n", "\n", "### Thus, we will be overestimating totals and calculations will be imprecise! " ] }, { "cell_type": "code", "execution_count": 15, "id": "7b7fbb8d", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(5,5))\n", "\n", "ca_counties.plot(ax=ax, fc='None', ec='k', lw=.2);\n", "fires2021_with_counties.plot(ax=ax, fc='orange');\n", "ax.set_title('Fires in CA in 2021', fontsize=16);" ] }, { "cell_type": "markdown", "id": "06646c5c", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Creating Choropleth Map with Aggregate Statistic \n", "\n", "1. Group data and calculate statistic \n", "2. Join aggregate to geometry \n", "3. Plot using GeoPandas " ] }, { "cell_type": "code", "execution_count": 16, "id": "6a71c0f2", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# calc total area of fires in CA counties in 2021 \n", "# use 'dropna=False' to keep all counties (even those that had zero fires)\n", "tot_by_county21 = fires2021_with_counties.groupby('county_name', dropna=False)['INC_NUM'].count().reset_index()\n", "\n", "# use non-spatial join to add geometries to the calculated dataframe \n", "# please note that we join to the left dataframe by default \n", "# thus if our left dataframe is geopandas the resulting dataframe \n", "# will also be geopandas\n", "tot_by_county_geom21 = pd.merge(ca_counties, tot_by_county21, on='county_name', how='outer') \n", "\n", "# fill in missing with zeroes \n", "tot_by_county_geom21.fillna(0, inplace=True)\n", "\n", "# count of fires is stored in column 'INC_NUM'\n", "tot_by_county_geom21.plot(column='INC_NUM', legend=True, cmap='Reds');" ] }, { "cell_type": "code", "execution_count": 17, "id": "ac1ea4ad", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5243, 9)\n", "(5598, 11)\n" ] } ], "source": [ "# do the same for entire California \n", "print(fires.shape) \n", "fires_with_counties = gpd.sjoin(fires, ca_counties)\n", "print(fires_with_counties.shape) " ] }, { "cell_type": "code", "execution_count": 18, "id": "3605134b", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# calc total area of fires in CA counties in 2021 \n", "# use 'dropna=False' to keep all counties (even those that had zero fires)\n", "tot_by_county = fires_with_counties.groupby('county_name', dropna=False)['INC_NUM'].count().reset_index()\n", "\n", "# use non-spatial join to add geometries to the calculated dataframe \n", "# please note that we join to the left dataframe by default \n", "# thus if our left dataframe is geopandas the resulting dataframe \n", "# will also be geopandas\n", "tot_by_county_geom = pd.merge(ca_counties, tot_by_county, on='county_name', how='outer') \n", "\n", "# fill in missing with zeroes \n", "tot_by_county_geom.fillna(0, inplace=True)\n", "\n", "# count of fires is stored in column 'INC_NUM'\n", "tot_by_county_geom.plot(column='INC_NUM', legend=True, cmap='Blues');" ] }, { "cell_type": "code", "execution_count": 19, "id": "6892933f", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2, figsize=(12,6))\n", "\n", "tot_by_county_geom21.plot(column='INC_NUM', legend=True, cmap='Reds', ax=ax[0]);\n", "ax[0].set_title('Total Number of Fires in CA\\n in 2021');\n", "tot_by_county_geom.plot(column='INC_NUM', legend=True, cmap='Blues', ax=ax[1]);\n", "ax[1].set_title('Total Number of Fires in CA\\n in 1910-2021');" ] }, { "cell_type": "markdown", "id": "b50a2144", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Choropleth Maps \n", "\n", "* Geographic maps that display statistical information encoded in a color palette. \n", "* Display non-geographic attributes or variables on a geographic map. \n", "* The word choropleth stems from the root “choro”, meaning “region”. As such choropleth maps represent data at the regional level, and are appropriate for areal unit data where each observation combines a value of an attribute and a geometric figure, usually a polygon. " ] }, { "cell_type": "markdown", "id": "dec5cfb4", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Drawing Choropleth Maps\n", "\n", "1. Select a number of groups smaller than into which all values in our dataset will be mapped to; \n", "2. Identify a classification algorithm that executes mapping; \n", "3. Reduce all values in our data into corresponding number of groups, \n", "4. Assign color to each group. \n", "\n", "> In broad terms, the classification scheme defines the number of classes as well as the rules for assignment; while a good symbolization conveys information about the value differentiation across classes. Source: Geographic Data Science" ] }, { "cell_type": "markdown", "id": "009e2020", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Quantitative Data Classification\n", "\n", "> Partition the attribute values into mutually exclusive and exhaustive groups\n", "\n", "$$\n", "c_j < y_i \\le c_{j+1} \\ \\forall y_i \\in C_{j}\n", "$$\n", "\n", "where $c_j$ and $c_{j+1}$ are lower and upper boundaryfor each of the $C_j$ groups and $y_i$ are observations." ] }, { "cell_type": "markdown", "id": "c40d8b0c", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Quantitative Data Classifications\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 20, "id": "852f5046", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns \n", "\n", "# Plot histogram\n", "ax = sns.histplot(fires[\"dur_days\"], bins=5)\n", "# Add rug on horizontal axis\n", "sns.rugplot(fires[\"dur_days\"], height=0.02, color=\"red\", ax=ax);" ] }, { "cell_type": "code", "execution_count": 21, "id": "76083b30", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "count 5243.00000\n", "mean 15.27427\n", "std 29.13632\n", "min 1.00000\n", "25% 1.00000\n", "50% 4.00000\n", "75% 11.00000\n", "max 222.00000\n", "Name: dur_days, dtype: float64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fires.dur_days.describe()" ] }, { "cell_type": "code", "execution_count": 22, "id": "1bc1e6e4", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "counts: [4698. 293. 182. 60. 10.]\n", "bins: [ 1. 45.2 89.4 133.6 177.8 222. ]\n" ] } ], "source": [ "counts, bins, patches = ax.hist(fires[\"dur_days\"], bins=5)\n", "\n", "# The counts object captures how many observations each category in the classification has\n", "print('counts:', counts)\n", "\n", "# The bin object stores these break points we are interested in when considering classification schemes \n", "# (the patches object can be ignored in this context, as it stores the geometries of the histogram plot)\n", "print('bins:', bins)" ] }, { "cell_type": "markdown", "id": "83740578", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Equal Intervals\n", "\n", "* For a given value of $k$, *equal intervals classification* splits the range of the attribute space into equal length intervals, with each interval having a width $w-\\frac{x_0 - x_{n-1}}{k}$. \n", "* Equal intervals have the dual advantages of simplicity and ease of interpretation. \n", "* Because this rule only considers the extreme values of the distribution this can result in one or more classes being sparse. " ] }, { "cell_type": "code", "execution_count": 23, "id": "6ffec535", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "EqualInterval \n", "\n", " Interval Count\n", "------------------------\n", "[ 1.00, 45.20] | 4698\n", "( 45.20, 89.40] | 293\n", "( 89.40, 133.60] | 182\n", "(133.60, 177.80] | 60\n", "(177.80, 222.00] | 10" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import mapclassify \n", "\n", "ei5 = mapclassify.EqualInterval(fires[\"dur_days\"], k=5)\n", "ei5" ] }, { "cell_type": "markdown", "id": "42b14f27", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Qunatile \n", "\n", "* To avoid the potential problem of sparse classes, the quantiles of the distribution can be used to identify the class boundaries. \n", "* Each class will have approximately observations using the quantile classifier. \n", "\n", "## Problems: \n", "\n", "* The varying widths of the intervals can be markedly different which can lead to problems of interpretation. \n", "* There are a large number of duplicate values in the distribution such that the limits for one or more classes become ambiguous." ] }, { "cell_type": "code", "execution_count": 24, "id": "37dd5677", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "Quantiles \n", "\n", " Interval Count\n", "------------------------\n", "[ 1.00, 1.00] | 1455\n", "( 1.00, 2.00] | 669\n", "( 2.00, 5.00] | 1081\n", "( 5.00, 16.60] | 989\n", "( 16.60, 222.00] | 1049" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "q5 = mapclassify.Quantiles(fires.dur_days, k=5)\n", "q5" ] }, { "cell_type": "markdown", "id": "a8b58d67", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Mean Standard Deviation\n", "\n", "* Use sample mean and sample standard deviation to define class boundaries as some distance from the sample mean, with the distance being a multiple of the standard deviation (i.e. +/-1std, +/-2std, +/-3std) \n", "* This classifier is best used when data is normally distributed or, at least, when the sample mean is a meaningful measure to anchor the classification around. " ] }, { "cell_type": "code", "execution_count": 25, "id": "428fd273", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "StdMean \n", "\n", " Interval Count\n", "------------------------\n", "( -inf, -43.00] | 0\n", "(-43.00, -13.86] | 0\n", "(-13.86, 44.41] | 4690\n", "( 44.41, 73.55] | 210\n", "( 73.55, 222.00] | 343" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "msd5 = mapclassify.StdMean(fires.dur_days)\n", "msd5" ] }, { "cell_type": "markdown", "id": "71ff4846", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Maximum breaks \n", "\n", "* Considering the difference between sorted values. That is, rather than considering a value of the dataset in itself, it looks at how apart each value is from the next one in the sorted sequence. \n", "* The classifier then places the the break points in between the pairs of values most stretched apart from each other in the entire sequence, proceeding in descending order relative to the size of the breaks\n", "* Maximum breaks is an appropriate approach when we are interested in making sure observations in each class are separated from those in neighboring classes. As such, it works well in cases where the distribution of values is not unimodal. \n", "* The algorithm is relatively fast to compute." ] }, { "cell_type": "code", "execution_count": 26, "id": "68365c40", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "MaximumBreaks \n", "\n", " Interval Count\n", "------------------------\n", "[ 1.00, 173.00] | 5233\n", "(173.00, 186.50] | 4\n", "(186.50, 199.50] | 4\n", "(199.50, 212.00] | 1\n", "(212.00, 222.00] | 1" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mb5 = mapclassify.MaximumBreaks(fires[\"dur_days\"], k=5)\n", "mb5" ] }, { "cell_type": "markdown", "id": "2f3106bb", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Fisher Jenks \n", "\n", "* Dynamic programming approach to minimize the sum of the absolute deviations around class medians\n", "* Fisher-Jenks is guaranteed to produce an optimal classification for a prespecified number of classes" ] }, { "cell_type": "code", "execution_count": 27, "id": "e937ba81", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "FisherJenks \n", "\n", " Interval Count\n", "------------------------\n", "[ 1.00, 14.00] | 4109\n", "( 14.00, 43.00] | 575\n", "( 43.00, 80.00] | 249\n", "( 80.00, 124.00] | 225\n", "(124.00, 222.00] | 85" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fj5 = mapclassify.FisherJenks(fires[\"dur_days\"], k=5)\n", "fj5" ] }, { "cell_type": "markdown", "id": "ba5b9e69", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# More classifications \n", "\n", "* Box-Plot\n", "* Head-Tail Breaks\n", "* Jenks Caspall\n", "* Max-P" ] }, { "cell_type": "code", "execution_count": 28, "id": "7c8f7ffc", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "fig, ax = plt.subplots(2,2, figsize=(16,8))\n", "\n", "##################\n", "# Equal Interval #\n", "##################\n", "tot_by_county_geom.plot(fc='None', ec='k', ax=ax[0,0])\n", "tot_by_county_geom.plot(\n", " column=\"INC_NUM\", # Data to plot\n", " scheme=\"equal_interval\", # Classification scheme\n", " k=5,\n", " cmap=\"Reds\", # Color palette\n", " legend=True, # Add legend\n", " legend_kwds={\"fmt\": \"{:.0f}\"}, # Remove decimals in legend\n", " ax=ax[0,0]\n", ")\n", "ax[0,0].set_axis_off();\n", "ax[0,0].set_title('Equal Interval Classification', fontsize=12);\n", "\n", "#############\n", "# Quantiles #\n", "#############\n", "tot_by_county_geom.plot(fc='None', ec='k', ax=ax[0,1])\n", "tot_by_county_geom.plot(\n", " column=\"INC_NUM\", # Data to plot\n", " scheme=\"quantiles\", # Classification scheme\n", " k=5,\n", " cmap=\"Reds\", # Color palette\n", " legend=True, # Add legend\n", " legend_kwds={\"fmt\": \"{:.0f}\"}, # Remove decimals in legend\n", " ax=ax[0,1]\n", ")\n", "ax[0,1].set_axis_off();\n", "ax[0,1].set_title('Quantiles Classification', fontsize=12);\n", "\n", "##############\n", "# Mean StDev #\n", "##############\n", "tot_by_county_geom.plot(fc='None', ec='k', ax=ax[1,0])\n", "tot_by_county_geom.plot(\n", " column=\"INC_NUM\", # Data to plot\n", " scheme=\"StdMean\", # Classification scheme\n", " cmap=\"Reds\", # Color palette\n", " legend=True, # Add legend\n", " legend_kwds={\"fmt\": \"{:.0f}\"}, # Remove decimals in legend\n", " ax=ax[1,0]\n", ")\n", "ax[1,0].set_axis_off();\n", "ax[1,0].set_title('Mean StDev Classification', fontsize=12);\n", "\n", "##########\n", "# FISHER #\n", "##########\n", "tot_by_county_geom.plot(fc='None', ec='k', ax=ax[1,1])\n", "tot_by_county_geom.plot(\n", " column=\"INC_NUM\", # Data to plot\n", " scheme=\"FisherJenks\", # Classification scheme\n", " cmap=\"Reds\", # Color palette\n", " legend=True, # Add legend\n", " legend_kwds={\"fmt\": \"{:.0f}\"}, # Remove decimals in legend\n", " ax=ax[1,1]\n", ")\n", "ax[1,1].set_axis_off();\n", "ax[1,1].set_title('Fisher Jenks Classification', fontsize=12);\n", "\n", "fig.tight_layout()\n", "fig.savefig('classif_compare.png')\n", "plt.close(fig)" ] }, { "cell_type": "code", "execution_count": 29, "id": "6646cdf5", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABIAAAAJACAYAAAD1kB3UAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd3gVZfYH8O+ZuT256b0HQgih9w6CBSyooNhF113X/lOxrquubatdV1dde127qGCX3ovUJCSBQEJ6r7fNzPv7497EBFLuTRPC+TxPHpIp78wkOue9520khABjjDHGGGOMMcYYG7ik3/oGGGOMMcYYY4wxxljf4gQQY4wxxhhjjDHG2ADHCSDGGGOMMcYYY4yxAY4TQIwxxhhjjDHGGGMDHCeAGGOMMcYYY4wxxgY4TgAxxhhjjDHGGGOMDXCcAGKMMcYYY4wxxhgb4DgBxBhjjDHGGGOMMTbAcQKIMcYYY4wxxhhjbIDjBBBjjDHGGGOMMcbYAMcJIMbYcY2I3iSix37r++gpInqIiN7twfmHiOi03rynVmXPJKL9rX4eSkS/EFE9Ef0fEb1ERA/0wXXvI6JXe7tcxhhj3iGiBiIa5Pm+3+MtEZ1CREf6sPw28YuIbiCiUs9zh7Z+/l6+7j4iOqW3y2WMsZ7iBBBjzCueBITNU1lq/vr3b3xPVxPROi+P7dNKZk8RUQARPUNE+Z7fba7n57C+vrYQYq0QYmirTXcDWCWEsAohnhNCXC+EeLQn12jv9y+E+JsQ4g89KZcxxk4knri1h4iaiKiEiF4kosB+uvYqImrzzhVC+AshDvbxdScR0QoiqiGiKiLaQkS/68trNmsdv4hID+ApAGd4nruyN56/vcSZEGK4EGJVT8pljLG+wAkgxpgvFngqS81fN//WN9RfiEjXh2UbAPwEYDiA+QACAEwDUAlgUl9dtxOJAPb9BtdljLEBi4juAPBPAHcBCAQwBUASgO89yYkBh4imAvgZwGoAKQBCAdwA4Mzf4HYiAZjA8Y0xdhLjBBBjrMeISCaiJ4iogogOEtFNRCSakyZHD186ejgUEX3saQmtJaI1RDS8m/dxiIjuJKLdnrI+JCITEfkB+AZATKveSzFEJBHRvUR0gIgqiegjIgrxlJXkeYbfE1E+gJ+J6Fsiuvmoa+4iokWe758logIiqiOi7UQ008tbXwIgAcBCIUSGEEITQpQJIR4VQqxo5zknEdFGT2tqMRH925NEArk9TURlnt/BbiIa4dl3FhFlkHtoVyER3enZ3tI7h4h+BjAHwL89v6fUo1s3ieg8Itrpec4DRDTfs/13RJTpKf8gEV3n2d7R7//o/w7OJXe3+RpPS/Wwrv62Xv5+GWPsN0VEAQAeBnCLEOJbIYRLCHEIwEUAkgFc5jnu6Pdtm96TrWJWved9vrDVvquJaJ0nHlcTUR4RnenZ91cAM/Hru/3fnu2CiFI6uOdzPO/6GiLaQESjWu27xxNH6oloPxGd2sGjPw7gLSHEP4UQFcJtuxDiog6u2dnzpRDRak8MqCCiDz3bO4t7bxLRY0SUCqB5qHONJ9a1eX4iMhPRk0R02FPOOiIye/a1W08hoj8CuBzA3Z7f61ee7S31HiIykrtHb5Hn6xkiMrb++xLRHZ77L6Z+6h3FGDs5cQKIMdYbrgVwDoCxACYAuNDH878BMARABIAdAN7rwb1cBHcvmmQAowBcLYRohLu1sahV76UiAP8H4HwAswHEAKgG8MJR5c0GMAzAPADvA7i0eQcRpcPdW2a5Z9NWAGMAhHiO/djLJMVpAL4VQjR4+YwqgNsBhAGYCuBUADd69p0BYBaAVABBAC6GuycRALwG4DohhBXACLhbZdsQQswFsBbAzZ7fU3br/UQ0CcDbcLdgB3mudcizuwzu/w4CAPwOwNNENK6T33/rclMBfADgNgDhAFYA+Io8iS2PY/62Xf2iGGPsODEN7t4nn7Xe6HnvfwP3u9sbB+BO5ATCnVB6l4iiW+2fDHeiIwzAvwC8RkQkhPgz2r7bO+3BS0TjALwO4Dq4e+28DOBLTzJjKICbAUz0xJN5+DUOtC7DAneM+sTLZ+vq+R4F8D2AYABxAJ73bO8s7gEAPLGsuXEpyBPrjvYEgPFw/61C4B4OrXn2tVtPEUK84vn+X57f64J2yv0z3L29xgAYDXfP3vtb7Y/yPG8sgN8DeIGIgtsphzHGeowTQIwxX3zhaQls/rrWs/0iAM8IIQqEEFUA/u5LoUKI14UQ9UIIB4CHAIym7s+J8JwQoshzH1/BXeHqyHUA/iyEONLq2hdS2+FeDwkhGoUQNgCfAxhDRImefZcD+MxzLoQQ73rmFFCEEE8CMAJoPbdOR0IBFHv7gJ7W002e6xyCu2I+27PbBcAKIA0ACSEyhRDFrfalE1GAEKJaCLHD22u28nsArwshfvD0VCoUQmR57mu5EOKAp4V3NdwVdW97QV0MYLmnXBfcFXEz3BXxZr78bRlj7HgSBqBCCKG0s68Y7sR3l4QQH3veg5oQ4kMAOWg7VPiwEOK/QggVwFsAouEe+uSrawG8LITYLIRQhRBvAXDAnchQ4Y5v6USkF0IcEkIcaKeMYLg/a/gS3zp7PhfcjS4xQgi7EGJdq+0dxT2vEJEE4BoAt3rimiqE2NAqvveknnI5gEc8PXvL4U5sXdlqv8uz3+Xp9dsA7+oOjDHmM04AMcZ8cb4QIqjV138922MAFLQ67rC3BZJ7+Ng/PF2+6/BrK2J3Jz8uafV9EwD/To5NBPB5c0ILQCbcFdvWleWW5xJC1MPd2+cSz6ZL0Kq3kqcLd6ani3gN3C163jxHJdyVdK+Qe1jW157u6HUA/tZ8HSHEzwD+DXdPplIieoXcQw8A4AIAZwE47OlGP9Xba7YSD3cLbXv3dSYRbSL3JJ81nmt5+3eMQav/boQQGty/+9hWx/jyt2WMseNJBYAwan8+uWgA5d4UQkRLWg3LqoG7N2fr92zLe1II0eT5tjvvykQAd7Ru9IH7/R8jhMiFu7fmQwDKiOh/RBTTThnVcPeg8SW+dfZ8dwMgAFvIPVz4GqDLuOetMLh7aB0T33qhntImvnm+b/37qjwqMcjxjTHWZzgBxBjrDcVwVwybJRy1vxGApdXPUa2+vwzAeXAPgwqEe0JMwF3J602inW0FAM48KqllEkIUdnLeBwAu9SRPzABWAu6l1AHcA3dvqGAhRBCAWi+f40cA88g9V443/gMgC8AQIUQAgPtaX0e4V+4aD3d391S4h2tBCLFVCHEe3F3YvwDwkZfXa60AwOCjN3rmM/gU7p47kZ7nX9Hqvtr7/bdWBPcHjubyCO7/pgo7PIMxxk4cG+HuQbOo9UbPe/9MuCdJBjqJl57ep/+Fe/hVqOc9uxfex8uu3sOtFQD461Hx0SKE+AAAhBDvCyFmwP3eFnBPbt32Yu4E1Ea4Gx+61NXzCSFKhBDXCiFi4O7B+2Lz/D0dxT0fVACwo534hq7rKT7FN7jrSEUdHMsYY32KE0CMsd7wEYD/I6I4z7j1e4/avxPAJUSkJ6Kj5wiywl0proS70vu3PrrHUgChR3XZfgnAX5uHdBFROBGd10U5K+CuyD0C4ENPTxXA/RwK3K24OiJ6EO65cLzxDtyV7U+JKI3ck1OHEtF9RHRWO8dbAdQBaCCiNLhXVIHnGSYS0WRyryjTCHeFViUiAxFdTkSBniFWdXD3dvLVawB+R0Sneu4z1nMPBriHBJQDUMg98WjrOS3a+/239hGAsz3l6gHcAfd/Fxu6cY+MMXZcEULUwj3053kimu+Jh0kAPoY7+dDcm3QngLOIKISIouDuadPMD+5kQzngnngf7h4y3ioFMMjLY/8L4HpPPCEi8iOis4nISkRDiWiuJ/FvB2BDx/HkbgBXE9FdRBTque/RRPS/do7t9PmIaDERxXl+rPYcq3YU97x8TgAtvU5fB/AUuRcpkIloqucZu6qndPV7/QDA/Z46RhiABwG828nxjDHWZzgBxBjzxVf06ypODUT0uWf7fwF8B2AX3JMjfnbUeQ/A3apWDXcF+P1W+96Guzt0IYAMAJv64sY989R8AOCgp2t5DIBnAXwJ9xK89Z5rT+6iHAfcz3ca2j7Hd3BPEpkN9/PY0XZYXFdlngZ3r54f4E7ObIG7e/nmdk65E+4WyXq4f/cfttoX4NlW7bmPSrh75QDuOQcOebqwXw/gCm/u76h73QLPBM9w93BaDSDRMzzu/+BO5FR77u/LVue19/tvXe5+z/08D/eHoQUAFgghnL7eI2OMHY+EEP+Cu8fmE3C/v/PgTiicJtyT5QPuBoFdcA8z+h6t3u9CiAwAT8Ldq6YUwEgA6324hWfhnueumoie6+Jet8E9D9C/4X6n5+LXifeNAP4B97u6BO5epfd1UM4GAHM9XweJqArAK3A3phx9bFfPNxHAZiJqgDu+3CqEyEPncc8XdwLYA/eCDlVw92qS0HU95TW450OqIaIv2in3MQDbAOz2lL/Ds40xxvodCeFLb1DGGOuap1UzD4C+gwkvGWOMsZOaZw6bhwFMF0Lk/9b3wxhjbOBrbyI6xhhjjDHGWB8SQrxORC64VzvkBBBjjLE+xz2AGGO9jnsAMcYYY4wxxtjxhRNAjDHGGGOMMcYYYwMcTwLNGGOMMcYYY4wxNsBxAogxxhhjjDHGGGNsgOMEEGOMMcYYY4wxxtgAxwkgxhhjjDHGGGOMsQGOE0CMMcYYY4wxxhhjAxwngBhjjDHGGGOMMcYGOE4AMcYYY4wxxhhjjA1wut/6BhhjjPW+7du3R+h0ulcBjAAn+32hAdirKMofxo8fX/Zb3wxjjLGe45jYIxwXGRtAOAHEGGMDkE6nezUqKmpYeHh4tSRJ4re+nxOFpmlUXl6eXlJS8iqAc3/r+2GMMdZzHBO7j+MiYwMLZ8AZY2xgGhEeHl7HFV3fSJIkwsPDa+FuJWaMMTYwcEzsJo6LjA0s3AOIMcYGJsmniq7QZCiuYAhND5Jc0OmrQZLah/d33PL83riBhDHGBg6OiT3AcZGxgYP/R2aMsZOd0xYFW/0ouOyJUJwxcNkTYasfBactqi8ul5WVZRg1alRaYmLiiLPPPnuQ3W4nb8/dtWuXMS0tLb35y9/ff+wjjzwSAQDXXXddXHJy8vDU1NT0008/fXBFRYXcF/fPGGNsADuBYiIALF68OCkkJGT0kCFDhrfefvbZZw9qjpWxsbEj09LS0nv3zhljJyJOADF2kiEimYgsRORTBYMNUE5bFBRnLI6NBxIUZ2xfVHiXLl0ad/PNN5cePnx4b2BgoPLss8+GeXvu6NGjHVlZWRlZWVkZe/fuzTCZTNoll1xSAwDz5s2ry87O3pednZ2RkpJif+CBB/qkss4YG1iIyI+IuE7MTriYCADXXHNNxZdffplz9Pbly5cfbI6XZ511VvU555xT3Xt3zRg7UfEQMMZOMnq9/v5HHrjvoYaGRvX2W26yeTTZbHZbk83WVN/QUKupqlJbV1cty7JelmVLScGR6PqKyl8cEDUOoBQAAdDLgNkAstog8gEUA7B5vpwAVM+/DgCK5/LNFSqXZ1sTgIZWxzmEEDw+v78ITYbijO70GMUZDb2xDCRpvXFJTdOwceNG67Jlyw4CwDXXXFP50EMPxdxzzz3lvpb15ZdfBiQkJDhSU1OdALBo0aK65n1Tp05t/OSTT4J7454ZYwMXEaVcnhqTMyjAT7tj7CBnk0u12VStyaaoNruiNda7lHqXptntimZrUJSGQIM+sLzJOaKy3rZWBRobIYqEO37pCTCYQCFOiEoVKABQD8AOd1xU4Y59Ds+/GtwxUYI7HiqeYxs8xysAmoQQvfLuZV44QWPimWee2bB//35DZ9f46quvQn744Yf9vXHPjLETGyeAGDvJGPR6v6W33KQaDAYZgL/nq1NXJY2EGf6jAECDUAGQhF9bS1UIlwPCoQKaCggVAgLu2q3i/p4ACAKat5MGkAtCckLIKiCpELITwCgyOFTArgEuzV2mQwWaFIhGBWhUIBpcEI0q0KRC+LuAPNWdQJI8lXAn2laimytpzbek4tfKtjhqn+b5ngDo4a6YN/eU2iqEqPT9N34cU1zB6LonqATFFQy9sVeevbS0VGe1WlW9Xg8ASEpKcpaWlnZYce3MBx98EHLhhRe2e19vvvlm2IUXXljVg1tljJ0cjPPiw9VLU2NlACbPV6fJ42dXZyEno/xyABAQQgAaARLB3bNWQAgHYFMgVE9MFALu4KNCNAcaIk9c9MREKBDkBHQKhKwBkhNCGkMGpwI4NMChQrjc/8LmiYlN7piIehXC5oLwU4DDirtxheBONDU3sDR6vlT35Vu+mmOi6vlqprX6IgCy54s8X0eEEHt79Js/3pzgMbEj3333nX9YWJhr5MiRjt4slzF2YuIEEGMnGbPZbJFk2evhXxXFJUKuqGmZ/E8CHTOvigzSW0D6XrpFi+erS1H+Opzt74/mTkMqoKqAqgihOYRQnO49AgCEaK7JCqECUIVok/1pzgA1Z390ACQQCIAdmv8fK8v+BuDBXnrG44PQvPubeXucN0W108GLiHzu9WW32+nHH38MfOqpp44cve+ee+6JkmVZXH/99ZwAYox1xehv0DngZdwBgMwjNS0VaAIRuRMjLQhEJsDya/tBjzQnpbpUCxWBkCEgQCBoEJoAVM3dOKMo7p9b3ree2Cc0T6NN6xdx6wwRHfWlAfrtcDYAiOyNBzxunMAxsTPvvvtuyAUXXMDxkDEGgBNAjJ10JowbO0Uny17NdfDM0j9h+1sfkp/onVpsbwvTuevczdMZ6QBZB8hGIvj1/uUG3oTCJLl69TgvREVFKfX19bLL5YJer8ehQ4cMERERPpf/ySefBKanpzfFx8crrbc///zzod99913Q2rVrsyWJp/RgjHVp3OTIIK8+cC/bdwTf7joCqc6pAcffnEF2CAQCnqYLwNNTV5IB6AFjLyWkAABmUGOvFXa8OIFjYkdcLhe+/fbb4C1btmT0VpmMsRPbcRe8GGN9h4hCZs2YNsKbY//70N+R+fI78LP3Wj2k1xmIeG6EntDpq/HrELmOaJ7jeoUkSZgyZUr9G2+8EQwAr7/+eug555xTAwArV660LFy4MMmbcv73v/+FXHTRRW1aND/55JOAZ555JmrFihW5VquV/9tgjHVpUkTgpRFmY5dtBtnldVi27qCQa12QjsPkD+DuzfNb38MJ7QSOiR1ZtmxZwKBBg+yDBw8+fitzjLF+dVwGMMZY3/D387v5miVXePX//fq3/tfSini8ktG73aQ7Q8dphb9HSFKhMxR3eozOUNxbk102e/LJJ488//zzUQkJCSOqq6t1t956awUAHDp0yGg2m7v8m9bX10vr1q0LuOKKK2pab1+6dGlCY2OjPHfu3NS0tLT0yy67LKE375sxNrAQUcrFQ2LmenPsd1nFsGjH9+qZ/Zz9Oa5/F91ygsbEBQsWJM+YMSMtLy/PGBkZOerpp59uWUXsgw8+CFm8eDEP/2KMteAhYIydRBoaG9+76fY7b33oz38yjkgf1mmLp97fDyg7vusM1I8VUDres2HdZTCXAIBn5ZPWSS4NOkNxy/5elJ6e7tyzZ0/m0ds3bdrkd+utt5Z1db7VatVqamp2Hr09Pz9/YE1Iyhjra4de3pv/ZZTFOP+ilJhOJ94N9TM2T4dzPOvP+zvefxfdcwLGxK+++iqvo32ffvrpoR7eHmNsgOEEEGMnESHEASKKLS0rW7P2h28ndnbs4KkTcOhgQX/dWrc0alq/9cqRB+IcQM0M5hLojWVQXMEQmh4kuaDTV/d2K2dXXn755WMmdGaMsb4ihFCI6Pwrf9h549TI4H/EW80drop5yuAIsXZzPmQcv72A+jNIHbe/hN7AMZExNoBxAoixk4wQwp6UmJABoNME0OFf9vTTHXWfC6LfWmRpoA+ZJUnrrWVtGWPsRCGEEES093CDDfFWc4fHbTtSdVwnfwCA3KvJ91esOq5/Fz3GMZExNkAN7A80jLF2Hc4v+HDTlq31He1XXC405uQd95NJ9ueoLNH1xJCMMcZOTBs/zCnq9IC12WVcZ27ruK8jMMYYOxYHM8ZOTj9++8NP1o52fv3W+zC41OO+da8/X2C8ugpjjA1MQgjnlrKaXzra73CpqCgfeKue9wQHRMYYOzFxAoixk5OyZv2GDnee9/slcMnH/+tB7scUVX9OOM0YY6x/5dY0HShqtDvb22fUywgJs/T3LflM68e0DMdExhg7MR3/n/AYY71OCCHq6+u/62g/EeHK15897hv4qB+XgR/oPYCEyyFrhzPCtJzt0drhjDDhcgzcSa8ZY+wodS5lWZ1TcXS0//GF42CToPbnPR3POCYyxtiJiSeBZuwktXP3nqqVn7wHvcEgJJ0eJos/TP7+WlRCEkIiouRZ58zHBwShF8dvK19/ZrBVMXAr/lrO9ihRkBUNTW35lYoDv8RTfFqxNGR8j5e8ra6ulqZOnZrW/HNpaal+4cKFVa+//nrBQw89FPnOO++EybIsQkNDlbfeeutQampqu63wzW655ZbYjz/+OLSurk5uamo6ZtjGG2+8EXzNNdcMWr16deasWbOamrdXVVVJaWlpI+bPn1/z9ttv5/f0uRhjA0ruh9sOWsda/YReJ8Fo0MHfbNACLAaRFhusk4hgCjDIqOn09fRb6894PWDnxevrmAh0HMd+//vfx69fv94KAHa7XaqsrNTV19fv9LX8q666Kv7jjz8Oay77P//5T8jTTz8dBQB+fn7aiy++eHjq1Km23ngWxtiJhXsAMXaSkgm50yLNYmqYgSYHEY02NNJQZ6m8a+V3MgA01NYJl7/luE3+AP07BExADMjKrpazPUoc3hfbuqLr3qFK4vC+WC1ne1RPrxEcHKxlZWVlNH/FxMQ4Fy9eXA0A48ePb9q5c2dmdnZ2xvnnn199++23x3VV3vnnn1+zefPmzPb2VVdXSy+88ELEqFGjjpmw44477oidPHlyh5OfM8ZOaoqlwuaIL26iqIIGCj5QQ/q9ZfL+zYdben6EWI2/5f11qT+75AzUHkD9EROBjuPYa6+9VtAcK6+99tqy+fPn1/ha9po1ayy1tbVtGvlTUlIc69ev35+dnZ3xpz/9qei6665L7MHtM8ZOYJwAYuwkNTI5fqxObieFoiooOZynvPOvpyR9fSM091Lrx6X+nINAG4CVXeFyyKIgK7rTYwqyooXL0WuxYs+ePcbKykr9vHnzGgBgwYIF9VarVQOAGTNmNBQXFxu6KuPUU09tTExMdLW374477oi94447SoxGY5u/19q1ay3l5eX6008/va43noMxNuAMSdHp7UdvJEAcKKkVv+RX4siRWqjHcUzsZwPu99CfMbGzONbsk08+CbnsssuqfClXURTcddddcc8+++yR1ttPP/30xvDwcBUA5syZ01hSUtJlrGWMDUycAGLsJDUiOW5Se9tnJYUhvHC37uYLpuKVH17Af354gcZeelovXLH364qqGHgV0P4kig4EH9PKeTRNlUTxgeDeuuZbb70Vcu6551ZJ0rGXffnll8NPO+202u6WvX79enNhYaHh0ksvbVOGqqq444474p955pmC7pbNGBvYrEQz4mWd/9Hb40mW6jbmE7YX4f8iQ/DHqGC6LCIArh72CuXwdfz5LWJiR7Kzsw1HjhwxLFiwwKdGi7///e8RZ511Vk1nyaXnn38+bM6cOd2OtYyxExsngBg7CRFR+PjU5CBvj58wIV3tSU8gkoFJwRYEmHv3ldO/Q8AG4HwHTpveq+McXh7nhc8//zzkyiuvPKZF88UXXwzZtWuX5eGHH+7W/AqqquL2229PeO65545J8vzzn/8MP+OMM2pSUlI6bW1ljJ280vXGOTKRVxP9miUJdhLdjkB2CLUYKkqgwME9io4fv0FM7Mhbb70VctZZZ1XrdN5P13ro0CH9F198EXzfffeVdXTMV199ZX333XfDju4hxBg7efAk0IydnGaeOm64HYBXXYBHjxwi2/WysLh8z4GQDHFZWACZSIJVkvCTrUEA1CupG6kfVwEbkAxm7xIiRi+P68LGjRvNqqrSzJkzm1pv/+KLL6xPPPFE9Nq1a/ebzeZu/U1ramrknJwc09y5c4cCQEVFhf7CCy9M+eSTT3I3bdrkv3XrVv833ngjoqmpSXK5XJK/v7/64osvFvbGczHGTmxEZLjKzzrSl3MC9DIJp++vKxVC1EGTYzxV8CqoZETvLDDFAbGH+jkmduazzz4Lee655w77cs6mTZsshw8fNiUlJY0E3JNIJyQkjMjPz98LAJs3bzbfeOONicuXL8+JiooasAtbMMY6xwkgxk5C8eEhZ6bERFq9PZ6IQGYDwXXM9AidspplXBjgT5In35PlcKK3kj8AIPVjD6CBOAcQxQyuFgd+ie+0y7skaxQ9uLo3rvfOO++ELFy4sE3vn/Xr15tvueWWxBUrVuTExsYqrfclJycPz8vL2+dN2aGhoWp1dfWu5p8nTZo09IknniiYNWtW06xZs/Katz/33HOh27Zt8+PkD2OslYmTDSYXAJO3J1hlCXU+Lg7ZBE3IIER4Ej5N0NQQyCfq8uIcE/vIrl27jHV1dfKpp57aZjGDrmLiJZdcUnvJJZe0xEGLxTK2OfmTk5NjWLx48eDXX389b9SoUY6+u3vG2PGOh4AxdpIhIsu508ddLEm+JWJGzRrn1XGyjlSdnsSgAAMuCrSi9WVsWu+OojpRa83HC9IbVYpPK+70mPi0YtIbe+UP9+WXX4YsWbKkTQLorrvuim9qapIXL148OC0tLX3u3LkpAFBcXKwTov0hFtdff31cZGTkKLvdLkVGRo5aunRpTG/cH2Ps5BQty9ePNRgtvpwz28+sOb0YvmWH0KqgaiVQYAKRsVUjiAPdH0bGel9/xsTO4thbb70Vet5557WZK6+zmOiN+++/P7qmpkZ3yy23JKalpaWPGDFiWA8fgTF2giLBQ48ZO6nEhgW/vPmFh6+KDg3yaT3bz59/D7t+2oIKuyqE2v7qW4lWPeZaLOgot5SvuJATbIDV+msjq0vRoGoCLpcmFFWFpgmhaYCmadA0AU0TEJoQLf8K92w8iqpJI61GKVmnV4QmJJmgASBJEEgIkBDN35P7Z5CPOa82JpcUvKgJcVO3C+hnu3btOjR69OgKb47VcrZHiYKs6DatnpKsUXxasTRkfLfm5OmpDz74IPDAgQPG+++/v8O5DPrSrl27wkaPHp30W1ybMdZ/iGjK3QHBGy+0HDP/c6cKnC7t7apaSWrVo+doZVARABKmTvqr1skqUkxGCAgQCKoANAhoQgjFvda6EMI9abRoXnvd/S1ESyWeIIRAJVRdsJBVVRPUPLcQgUBA8xcRAMn9L1EPFtL8CTbkCNcJk8DimNhzHBcZGxh4CBhjJxm9Tjb5mvwBgKZDxTjXaoXqL+iD6jrhcB7dEiUwymTUJKIOexYm6PRosqm49LSU9nbTUf96S7eppBpTooK97tGoasK9tq8QQhOA1ioTLtBcwf51jRZNgOTXjwzYFTOkIeNLRNKIMlF8IBgOmx5Gs4uiB1f3Vs+f7jh6JS/GGOsjxiE6fR2AAF9Oyne5KAo6CAgUQ0F0O1VqBQKmLpYr8FclnOPvBzq2gaK7MVH+uq5BlDYpXsfE5mjniX+eHFPbIV5HNxdLQI2P93XC4JjIGBvIOAHE2Emmqr5x66aM3IumpKd4PddB0aFCEVlaRSAJMhEmW81iS70NRASHS9U0jWQAwkztrO3dSrmmagFRgb0+9FQmEvChkiw3N8b+WuPu8lwBKF0dcyIjvVGjhPTK3/o+GGOsnx382d6kH23wrV1kW6Od/CGBQIiELEqgkAQSekAEQ5aArgOLE0J1SUJuJ/nTI54OQl4X2twTqDkyou2/7ZJAA3pVRY6JjLGBiucAYuwkU9do+/cry1fW+HJOTFIsNUwe3vLzEL1BujwkkC4LDqBzQwPIYCABEH1UXgunEO22kKlCIHXWIOnsick9e4B2EA28ySgZY4z1PSFEwcdNDU9qPs6JcGmIFapnmJUEoijoEAGZAiFRkae9IBo6lHYyUbTFKMn/FxHSk9tvlyZ6MLaLMcbYgMYJIMZOMkQUOCwhJtTX85oOtz8vYqgsS2P8TDQ4wACDXoK9g0p0kxAiyPzbdZ9mjDHG2jNcb5gh+dgNZ7/D1W4lWgJROGS1CAqKoUB00D4hIIS1806z3cYtIowxxjrCQ8AYO/mcft70cXYA+s4OEkIga0cmQqNCNUVRpMEl1R2u4D7S6Ok6715D5ZjZMIuEqg2fOYiC/I19UtvtyUSWjDHGTl5EZFriZ53izbF2TcMuu0NMMptoe6Md1g4md9aD5JhOqtgCArF+ejrT6tvE097ilhbGGGMd4QQQYyeZkcnx/0iNi7Z2ddyRA/la49PvSUcIcBJEdA8mKaiz6KSkCJ/m1/RJ51Ns9g6JBnaPSdFYJ4tNPweL2io9BYa4aMrcavIL6HjsAmOMDQAScNnpJotXc+L9p7wGVkG0sd4Gq+h+SHAC6plW//aXDusFnADqOY6JjLGBakB/oGGMtUVEYxIiQgZf//Qb0DSt0zpifEqidMCkRyhIihY9m6FS0vftq8ap9aAm7iVfhwecSNTPX49S77tqlPbpfxPFj5/GaJ/+N1G976pR6uevR/Wk3MWLFyeFhISMHjJkyPD29j/44IORRDS+uLi4TWNETk6OwWKxjH3wwQcju7rGddddF5ecnDw8NTU1/fTTTx9cUVEhA0BJSYk8efLkVIvFMnbJkiUJrc+ZNGnS0KSkpBFpaWnpaWlp6YWFhdwYwthJiIikwTr9a+801iPH5XR2dXy8SQ8C9Sj5AwAKhOTjlEM+0fu+clh3cEzsBXPnzk1pHSMfeuihyMGDBw9PTU1Nnzp1amp2drbBl/KWLVtmTU9PH5aWlpY+fvz4oXv37jUCwNdff221Wq1jmuPenXfeGd3bz8IYOzFwAoixkwQR0ZDYyF/GDklCWny0JkldTz4QMH10j69boqliwfQhfTolgV3t+0Y5aYC+L9XPX48SP3waC5ez7fO5nJL44dPYnlR4r7nmmoovv/wyp719ubm5+p9//jkgOjr6mA9dN998c/zs2bO9WvJ23rx5ddnZ2fuys7MzUlJS7A888EAUAFgsFvHII48UPfTQQ0faO+/tt98+mJWVlZGVlZURGxs7oFd4Y4y1TwYemm40IVqWESHLXb4HzrH6CQU9y9xoENpIf2N7y773mii9rs87AdEATQD1ZUw82ltvvRXk5+fXpgIzfvz4pp07d2ZmZ2dnnH/++dW33357nC9l3nrrrYnvvvtuXlZWVsbixYur/vKXv7QkeiZMmNDQHPeeeOKJ9id2ZIwNeAPyAw1jrF2/HzU4AQ9dtQi3XTjfq//3owbF9TizUhdkJItJ36cVxf6YA2gg9gASjXWyWPVVp62AYtVX0aKxvlux4swzz2wIDw9v90PVzTffHP/4448fOfrX+s477wQlJSU5hg0bZvfmGosWLarT693TWU2dOrWxsLDQAAABAQHavHnzGkwmE4+GYIwdg4gssbLugXkmP9xkDUKgJFu6OsckSeRE+ytdessGIeb4+/VpPFH7snvRrzgm9kBtba303HPPRT700ENtEjELFiyot1qtGgDMmDGjobi42KceQABQU1Mje64hR0dHu3p6r4yxgYUTQIydBIjIGGz1+++MEak+nZcwNKlH163RNC01OZQ/gB+nxKafg49p5TyayymJzT8F9+Z133vvvcDo6GjX1KlTba2319XVSU8++WTUv/71r6LulPvmm2+GzZ8/36ueQ3/4wx+S0tLS0u+6667oLkZDMsYGIANwKFqWMVjf6XoIx1B72OIQaJT7bO6fZjxRTff0Z0xcunRp7K233lrq7+/fYQB6+eWXw0877TSvYlqzl1566dCiRYuGREZGjvroo49CH3nkkZYE0y+//OI/dOjQ9FmzZg3Ztm2bV/NeMcYGHk4AMXYSCLCYl370wM24YNbERl/OM5pMParoVoQapbGDIvr8PdMffXNkifq80t7fRG2VV598vD3OG/X19dI///nP6CeeeOKYJM+dd94Zc/PNN5cGBgb6nJG55557omRZFtdff31VV8d++OGHB7OzszM2btyYtWHDBv8XX3wx1NfrMcZOXEQ0+Br/gPBr/QN9z5X0IN40QMNVwYHdL8BLGkSfR8WBOASsv2Lihg0bzHl5ecYlS5bUdHTMiy++GLJr1y7Lww8/XOJL2U899VTkZ599llNaWrr7sssuq7jhhhviAWDatGmNhw8f3r1///6Mm266qeyCCy5I6ckzMMZOXDzxJWMDHBGF3rH4zD/PGZsOAH6+nGtrbOp2N/JKTRXTRg/qlwqiBAj0cWVUpoGXAKLAEJc3f2AKDOm1LuSZmZnGI0eOGEeNGpUOAKWlpYZx48YN27x5c+b27dv9li9fHvyXv/wlrq6uTpYkCSaTSbvvvvvKOyvz+eefD/3uu++C1q5dm+3F1FZITk52AUBwcLB28cUXV23ZssUPQGVvPB9j7Pg3WKd/dolfgKIj8rkeTALdjouDLD6P5ukWr17sPUQDsBG5v2Li2rVr/ffu3WuJjY0dqSgKVVVV6SZNmjR0y5Yt+wHgiy++sD7xxBPRa9eu3W82m73+axYVFekyMzPNc+fObQSAJUuWVM+fP38IAISEhLQ0rFx88cW1S5cuTSguLtZFR0fzHHiMnWQG3MubMdZWkL9l6f1XnNet5IWtofsJoFBJpkZ7/ww974/pefSS7x8Ujnc0ZW419IbOe9voDRpNPrW6t645adIkW1VV1a7CwsI9hYWFeyIjI507duzITEhIULZv376/efu1115bduuttxY3J38WLlyYtHLlymPm6Pjkk08CnnnmmagVK1bkNs+b0BmXy4XmVcccDgetWLEicMSIEbauzmOMDQxENOxyP+vc7iR/eqpM6Z/P2q5+mAKIgIHXKNJPMfGee+4pLysr211YWLhnzZo1WUlJSY7m5M/69evNt9xyS+KyZctyj16gIDk5ud0VNZuFh4crDQ0N8u7du5tX/gpISUmxA0B+fr6uebjzypUrLZqmITIykpM/jJ2EBtwHGsbYr4jIdP2CuTdbLeZujfVuauzZ5+Id+4qQGh3UozK8IfdDAkgnUa8NgzpekF+ASqcsKBY/fBrb4TGnLCgmv64TK+1ZsGBB8qZNm6zV1dW6yMjIUffee2/R7bffXtGdsjIzMy3x8fHHZBSXLl2a4HQ6pblz56YCwLhx4xref//9fACIjY0d2dDQILtcLvruu++CVqxYkT1kyBDnaaedNsTlcpGmaTRz5sy6pUuXdtrDiDE2cERJ8l3zTd3vikM9yK00OvtnvjGlP6aAHoBDwPo6Jnrjrrvuim9qapIXL148GABiYmKcP//8c25xcbFOiM6H9un1ejz77LOHL7zwwsFEhMDAQPXNN9/MA4B33303+PXXX4+QZVmYTCbt7bffPuhNj1nG2MDDCSDGBrbL7r747G630jl6kADKllQMSgrv9vm+kKhfhoANyJqSvPCaEhXulU3aTH6pN2h0yoJieeE1Ps0/0NpXX32V19UxhYWFe9rb/tRTT7XMEVRVVSUlJyfbU1JSjkkA5efn7/W17H379mV2dV+MsYGHiAKv9Q+4QteDIb2E7g0Ba4Imwk06UjUNch9/8Fa7SBT0hoE4BAzo25jYnqFDhzpzcnL2Nf+8YcOG7PaOW7Vqld8f/vCHsq7KW7JkSU17cwvdd9995V0Np2aMnRw4AcTYAJYaF3VmXERol0vbdsTRZPe5j7wihHZQ1qSLzh3dL0OzAEDqh+sMxDmAmskLrykRZywuE5t/Cha1VXoKDHHR5FOr+7KV0xchISHaN998c/C3vg/G2Alv6hSDyQ6g2z06pW4sO9AATcwKtGBs9zrj+qw/VgEbiJNANzseY+Kll17q02pgjDHWEU4AMTaAzR6ddqrUgyyMrdFGVh+OV4VAaZy/dPGkQd29ZLfo+ivTNICRn1WjuefzRMiMsQHLn2jecL3Bvydl+NrtpUHScF1YEEyS1G9xytkPPYAGOo6JjLGBakB232SMuX254Zf/VtTWN3X3fGeT3avjhBCiSFPRNDQU5/Ri8qdeSFqlkNRGQVoGGVUAsIG0SpBaaXNqNQ6XWmV3Qi8ROVRNOFVNaH00+eVAbu1kjLGTQYMQb35ha3T0pAzZy7qzA0KDAfhdaKDSW8kfpwytUS+pAFAaoFedEjRNCDTqSa2DptVpqtqgaapd0wAIAQjRg0XLGGOMDUDcA4ixAay0uvZ/O3IO3XjGhJHdOt9pd3hVaT1IGl24aEynx9hAmgFCam8cVaWQtByDn+QKCkFQeLhWW1kphUREiOFDkiQAcLoUMVyvk2obmjQhhAj1t8hZb72FtAAzACDEZACOStAcabApcf5mfscxxhgDAAghdp1j9qtaZPGP6eb5kL0YAqZAaHODLVKa0Qh0Utd2SBBG7djGBUWCKLfqSYRZEBbiJ5wuFYqq0cxBEaSTJMmuqNpYnSzbFFWrc7i0SD+T/PGqLKRUu6dJ+11IEHBUTPyqvgFljbzoE2OMnez4wxFjA1vB7oMFft1NACn2rhtKizUVU05JaZmEOYNMapXBJGsWf4yoKhQhJGi9IRCJEydI/hazdrigiOxNNmiaioCgIAQFWhEXGSaF/VqkBAwGWlVeDXodAUCgv6Wl5bWxix7u1MsddmiATgLNGGMnkyJVPQKgWwmgJiE0dNEDSIMQsRZ9c/IH1SZZbbTqJX2wmURxPaLqFVRYdFrg8AhpXHQwZVfWi1qbEy5FhUGvQ2KIHwIMejHRoGsOYq2DGQGASSdLAGDWyZJZ525WMZsNQPUx8+T3Je4VyxhjJyBOADE2sI2bPTrNBqBbE0ErDmeXFbxaPx3KwsORZ/IDBQRg5rSJLZ18muwOcbC8SpsRH928TQpOH9KdWzlGyJRp6rqcHDmuplxL8jcdUyHv7VmBNCH6Y17N34xSXS1XfPRpsKusVK+PiHSFXXRBtS44eEA/M2Ps5DNErx/e3XNtmtbleCoXIKZFBNCRcAsgBE4fmyiZdLI7Ig0Hsirr1VOC/EjvzuFgRERge9HK5wg2Y3issklXLFcX1lKa2vftFaKbq6GdKDgmMsYGKm7RZmxg23jXSx8ccrqUbjULas6uTzM5BAzRSTRr/qmYOW1im30Wk1Ea/Gvyp1cNGjZEnnnuWcg3B7T7HpPbqT6vLqzE+uIqrC6qRL3Tt67w6gBOABU8+reoneMmjyp46JHEkhdfjil46JHEneMmjyp49G9R3S0zNzdXP3ny5NRBgwYNT0lJGf7oo49GNO97/fXXg1NSUoZLkjR+zZo1LcnJ/fv3G0wm07i0tLT0tLS09Msuuyyhq+tcd911ccnJycNTU1PTTz/99MEVFRUyADgcDlq0aFFSampq+qBBg4b/6U9/igKA6upqqbn8tLS09ODg4NHXXHNNfHefkzF2Yvne3vR0hsvZrbnx7F5MMqcHaL9Vj7PHJ2HBxEFoSf54pIVaZX0frAMf5G/UzR+fRGPGx8PRzm1q7eRrDAbC6CAT4q16yL43CR8Xq0T2hb6IiUd7+eWXQ1JTU9NTU1PTZ86cOaS4uFgHAM8991xocHDw6OYY9dRTT4V1VdYtt9wSGxUVNcpisYxtvf33v/99fHM5SUlJI6xW65jmfbIsj2/eN3fu3JTeei7G2PGPE0CMDWBCiPp1e7PnnHv/U/n1TTafJ75UvUiSJGmA698fIT/70G+TIJHbzy+V25xtqrOrCysxIyYE06NDMDsmFBadjNWFlWh0eZcIIgzMIWAFj/4tquTFl2KF3d7m+YTdLpW8+FJsdyu8er0eTz755JGDBw/u27p1a+Zrr70WsX37dhMAjBkzxvbpp5/mTpgwoeHo8+Lj4x1ZWVkZWVlZGe+//35+V9eZN29eXXZ29r7s7OyMlJQU+wMPPBAFAG+88Uaw0+mUsrOzM3bt2pX59ttvh+/fv98QHBysNZeflZWVERMT41y8eHF1d56RMXbiqdG0B/9UU/HWTqfD5ySQzYtFBiQQZewpxV+W7+rW/fWU1WQQ7a1x739UzkmnJ5wd6I8JJhPO8PPD1WFBmBBsBnnfZDMgh4D1VUxszeVy4U9/+lP86tWrs7OzszOGDx9ue/zxx1saSRYsWFDdHKOWLl1a0VV5559/fs3mzZszj97+2muvFTSXc+2115bNnz+/pnmf0WhsiYU///xzbk+fiTF24hiQH2gYY78SQpT9uGPf+On/9+h6m8Pp9OVcb3oANWusO+azfJ+zNTXBWlvV7r5wsxGrCytxuL4Jm0qqMTs2FHKrcWGyRJgdG4qcmkavrjUQh4Ap1dVy6etvRnd2TOnrb0YrNTU+x4rExETXjBkzmgAgODhYGzx4sC0/P98AAOPGjbOPHj26RyvxNFu0aFGdXu/+uDN16tTGwsJC94zgRGhqapJcLhcaGxtJr9eLoKCgNn/DPXv2GCsrK/Xz5s3r//94GWO/CSGEKFKUG2+qKrt7i8Nu8+Vcm/C+04vN+duEjC2ZxSS1MwZ6psWiDQ00wmR0v84vDwlAyFENKKONRiwODfAqCTQQh4D1ZUxsTdM0EkKgvr5e0jQNdXV1UkxMjE/1s9ZOPfXUxsTExE4rbJ988knIZZdd1n6FiTF2UuEEEGMnASFEbcbhwovPvPfxnd9u2e11hVd4mQByCCGik+L69X1SXVEl7Ms+w9hAc7v7Iy1GzI4NhVGWkBxg6bCiOiY8EBuKq+BStU5r9gNxCFjFR58GH93KeTRht0sVH30a3JPr7N+/35CRkWGZPXt2l4mWI0eOGIYNG5Y+ceLEod9++62/L9d58803w+bPn18LAFdffXW1xWLRIiIiRicnJ4+6+eabSyIjI9v8Dd96662Qc889t0rq/dEYjLHjnFOIFx6rrXrh1YZauyqEV11BbVoXqw+0Ehfi1/2b66YPvtyF5HJ7u/sMRNIMsxkXB1kxO9QCXQcT5VklCYtDAwCpy/zOgEsA9VdMNBqN4qmnnsofN27c8MjIyFHZ2dnm2267raWnzzfffBOUmpqaPn/+/EG5ubntdejySXZ2tuHIkSOGBQsW1DVvczqd0ogRI4aNHj067Z133gnq6TUYYycOrvUydpIQQlSs3bN/8oUPP3d/flmldz0evBweZSSizK17+nU+gIKaetqt67qCHWUxIdJi7LTSPi06BJtLayS70nGORxNe9P0/wbjKSr2qWLpKvTuuPbW1tdKiRYsG/+Mf/ygICQnp9L+RhIQEV15e3u7MzMyMp556quDqq68eVFVV5VWcuueee6JkWRbXX399FQCsXr3aIkmSKCkp2Z2bm7vn3//+d1RGRoah9Tmff/55yJVXXsktooydpIpV5a5XGurS326s9yrBb/ehB1BuSW2376s7quxOyHLXr0sdEVL0hk6PsUoSTgvx76onEMfEbnI4HPTKK6+Eb968OaO0tHR3enq67b777osGgIsuuqgmPz9/T3Z2dsbcuXPrr7jiiuSeXAtwN3acddZZ1TrdryPjc3Nzd+/duzfzgw8+OHjvvffG79u3z9jT6zDGTgycAGLsJGN3ujas3pXl1apg5FK8ruA11NT1yWTPR9uwNwfb9h9EenIcZi46F4ca2m/t9NWMmBDUORWxp7IOO8v7t+L+W9FHRHrVxUsf6d1xR3M4HHT22WcPXrx4cdVVV11V09XxZrNZREVFqQAwc+bMpoSEBMfevXtNXZ33/PPPh3733XdBn332WV5zb5533nkndN68ebVGo1HExsYqEydObNiwYUNLxnDjxo1mVVVp5syZ3ZoMljE2MAgh8nIUZ6M3vTx96QHkdPVPm8gPWUX4cn0uMn7YjyFOYLujd2Jiok6PK8ICMTPEokX46QAMvEaQo/V1TGy2adMmMwAMHz7cIUkSLr300qrNmzf7AUBUVJRqNpsFACxdurR837593VrFtbXPPvss5IorrmjT2JGUlOQCgPT0dOeUKVPqt2zZ0uPrMMZODJwAYuzks/X3j//37sc/Wo7VuzKxemcmVu/KwprdWVi3Z7/YlJErtmYd1HbkHNK87QEEANUHC/vwlt125BzCtBFDMGHoIOhkGQWHCxCo7728U4TFSCNDAzAmPBB1Tu+TXyeqsIsuqCaTqdNPKWQyaWEXXeDzJMmapuGSSy5JTE1NtT/00EOl3pxTVFSkUxT3f3MZGRmGQ4cOGYcOHeoAgIULFyatXLnymArqJ598EvDMM89ErVixItdqtbY8S0JCgnPlypUBzfMr7Nixw2/kyJEtn4zeeeedkIULF3LvH8YYfrTb5t1eXa7scNixw2HHds+/vzjtYrfTIfY6HVqWy6lVad6vr67YOulS2ktqHC4hH6rW4sts8POEa0svrldgIEKqwSAtsPoj0KwbkJM+t9aXMbG1xMREV25urqmoqEgHAN9++21AamqqHQAOHz7c0rvo/fffDxo0aFBL3EpOTh7u67V27dplrKurk0899dSWCQ/Ly8tlm81GAFBcXKzbtm2b/6hRo3yaD4sxduLyfdFHxtgJTbhbOZ+MDg2K3/HyY9dGBAW0/lBNrf+tmz8Nh/NLhOJwkeZ0QXO5IJwuCEUFqSqgqIJUDaRqwuFS+jyhbNS3fWXlr12PGdYeD49vV1Z1PU2K/HWYvxiAS97qgoPVyGuuLi558aXYjo6JvObqYl1QkM/P/sMPP/h/8cUXoUOGDLGlpaWlA8DDDz9cePHFF9e+/fbbQXfddVdCdXW1buHChUOGDRvWtG7dupzvv//e/7HHHouVZVnIsiyeeeaZw83z9mRmZlri4+OPaXVdunRpgtPplObOnZsKAOPGjWt4//338+++++6ySy65JCk1NXW4EAKXXXZZxeTJk1squF9++WXIV199lePrczHGBh4hxDYimjnHpKxdaPFvPRSmTUyUTRDbhZ0UIaAIQBECCgBNCGjuWZGFZ6V4AZBc0mAXUf6mPkucbD5YRhE2raX8/U4nhhk6H97VXXFGHWptA24qvDb6Mia2lpSU5LrrrruKZ8yYMVSn04m4uDjn+++/nwcA//rXvyK+++67IFmWRVBQkPLmm28eAtyJGiHa74F2/fXXx33++echdrtdioyMHHX55ZdXPPXUU0UA8NZbb4Wed955bea627lzp+mmm25KJCIIIXDbbbeVjB8/vne6jjHGjns0AKe1YIx5gYj8Fs+eVPDB/Tf1aDLDZnVNNliMRui8mIPAVxszchERaNUGx0a2KXztW+9hhrVv8th5dU2Ithhh0rl7GEW98cOzFTbnbX1ysT6wa9euQ6NHj+5y+VjAvext6etvRree/JJMJi3ymquL4x+4r6Tv7tI7VVVV0uWXX570zTffHOyva+7atSts9OjRSf11PcbYby9Bp3/7lZCIC0JluVeGw9jGRWFaYnhvFNVGaaND3bHxoBRoU4VZES3v7f1OJ4b2UQIIAN6qrIXicn9uWAd7zV7h7JX6Q3840WPiBx98EHjgwAHj/fffX/ZbXB/guMjYQME9gBg7SQkhGono9/ddfu7bI5PjfVptqT17DhZg+ojU3ri1Y6TGRqqhgdZjxnqZNAV99RpLDrBge1ktxkcEAgBcmujRmP/jWfwD95VE33JjWcVHnwa7Skv1+shIV9hFF1T3tJWzt4SEhGj9mfxhjJ2cClTl2ncb6y+8NSCox2XVGiVteHgA4ddeRL1mS1aRHFev4OiyHX3cUXVRsFV8XFlHQh2YvWKbHY8x8dJLLz05JidkjPU5TgAxdnJbftU/Xtn02cO3Tk2KCuvRmrU6uedz8WzJOgCbwwkAIBBAgF6WMXX4kH6ZYPpoY8ICUGFzamFmg6RqA28Z+NZ0QUFa1B9/X/lb3wdjjP1WhBAOiyTdPkinf3aBxa9HqyLVBxgovIsVKLtypN4mdh0sJ5KA5iE8iktFeGGDCqDf46JVkijIKKO6SR3QCSCAYyJjbODiBBBjJzEhhJOIznnnh3X1D1x5fo/KcineTxjdkdiwYC02LMTrMWRJZ5+F3cuXY1SgucfXbo8ihAgzGyTP9wM6AcQYYwxo0rSX0/WGBQssfmf3pBzZpQr0sPfPztwyij1U127x7W0cZTBhu8OO8cYuF0/sNpvqzvsM9AQQY4wNVJwAYuwkJ4Rw3LLwDCeAHs2m7NJbUByZrhIgnE4HHDYbuRx2uBx2UhUFqssJVVVIUxRoqkKaqgKaCigKIDRACAidXooN8/6a4RHhcJ56GqrXr0KwsW8mg27mVLWeZ7gYY4wd9yo0rcfLWppqnDg8ehIMOp3icrngcjjhdDjI6XCQ6nJBVVSoLhdpqgLNpUBoGglVhVAU9yILmgYlIRZKYZPQuRSvE0ljDEax1+mgEYYedWDqELkTPxI4AcQYYyckTgAxxrBtf95eRVXH62S52++EuAATYgelyETdb/AsLi4WRbvXIMbq/aopsQlx2F83Hvp9O+CvP/b2FU3TdjgkaVI3OglVO5wUZTFBEwIC4B5AjDF2EqjU1C05LueSIXpDt7vSWASo/FApJp46pUd17WW29yh+a6bXx8tENExvQK7LiRR9+xNCH4QqQjQSQa2XhvKSorlXohLgXrGMMXYi6vNlmxljx79Nmbm3/7Qjw9b1kR0bHBWGvZvX9+g+oqOjSUmdRAV1vt3K0BHDkJc8DA0u5ZhlDTdFpErTXngf6yJSUe/yrRNPdk0jAKDRpQJAsk8nn2AaKqvkH59+IezTux+I/vHpF8IaKqt+k3mXGGPst6YBr7/XWF/fkzKMRJTzbc9iIgCcdeMlomBCmk/nyESIlHXIdTmP2XcIqrbo/NEUOy1RqtZUuITwuidPptMJp8uzFLkkhfh0UycYjomMsYGKewAxxgDgQH5ZRY/WjpUkQn1VRY/nPKivq0WMQdfcxdxroyaNw+r8ApoFe5vtIcNHCwB0yt0PwWVrElvff5PsmbsQfdYiVWgahKZBZzIJnc4AoalQFU9XfKEhRpbpsE6vSRY/HV77vm/60x8HPrvnwaiVz78c7bLZWn7ny/78SPycW64rXvTPR7q15G1ubq7+8ssvTy4vL9dLkoSrrrqq/IEHHigDgA0bNphvuOGGRIfDIel0OvH8888fnjNnTtN//vOfkGeffTaquYzs7GzzunXrMqZNm9ZhRvDWW2+N+eabb4IkSUJoaKjrvffeO5SUlOTav3+/YfTo0SOSkpLsADBu3LiG999/Px8A/vvf/wY//vjj0Zqm0WmnnVb70ksvHenOMzLGBiYhhJhhMucD6NEa7lJ9k8+x7Gi1DY0kNTT5fJ5VklClEuo0FQHSr7kLm1GWiAip0UFIOm+EKKpqos0bDyJ1VCwAqEIIEACjXicEBDRVQBWCBIBkVaM4iTRNQC7LKeibyfeOA30REwFg8eLFST/99FNgaGiokpOTs695+9lnnz3owIEDJgCor6+XrVarmpWVldFZHOsIx0TGWFc4AcQYAwCTED1/H2hKz1dKryo4hOEh+m5VmGcuOgcb3n4f0wIMaFJUsS0wjuacs6glIaU3W2jq729s/tHb1jxJ1TQBIKM793S8++yeB6O+/9czsUdvd9lsUvP27lR49Xo9nnzyySMzZsxoqq6ulsaOHZt+1lln1Y0fP95+1113xf35z38uuuiii+o+/PDDwHvuuSd+y5Yt+2+44YaqG264oQoAtmzZYl60aFFKZ8kfAPjLX/5S8uyzzxYBwGOPPRZx3333RTdXauPj4x1ZWVlt/m4lJSXygw8+GLd9+/bMmJgYZdGiRUnLli2znnfeeT1q7WeMDSxCoMdJf0nt+TQ5VTX1iMo50q3GlUS9HvucDgw3uMNdDqk4c9awlqSUQaejpIgAJJ03pvkUb+KiBABvHy4ekEmCvoqJAHDNNddU3HrrrWW/+93v2vQoXr58+cHm76+99tq4wMDAluF17cWxznBMZIx1hYeAMcYghMjfkZPX2NNyqo8copX/ewOrPn4HVWUl3ZofwKR0fySaJMkYd9EF+NEh45eZF9Lch59ET+YkakZt/hk4Giqr5JXPvxzd2TErn385urGq2udYkZiY6JoxY0YTAAQHB2uDBw+25efnGwCAiFBbWysDQE1NjRwZGXnMOIW33347ZOHChVVdXSckJKTlE1ZjY6PU1d97//79xuTkZEdMTIwCAKeeemrdxx9/HOzTwzHGBrzdLscqIcQxw4p9odkd9NFfX8HH/3gVG79Z260yiguKIatat+PPcIMRe1wOFESZMeXUVBHsb+yVuj9xTPTZmWee2RAeHt7hWHRN0/DVV1+FXHXVVV3Gvo5wTGSMdYUTQIwxENGE08aP6NYyWoqqQlFV5BwpQWKQRZuVEIKZsQGoLCnuVsU5zNCzOmVWg8DkR56HFHVMA163eT4EDLgVTza9/UFw6y7u7XHZbNKmtz/oUWVw//79hoyMDMvs2bMbAOC5554rePDBB+OioqJGPfDAA3FPPvnkMSvuLFu2LHjJkiWV3pR/yy23xEZFRY365JNPQh9//PGi5u1HjhwxDBs2LH3ixIlDv/32W38ASE9Pdxw4cMC0f/9+g8vlwpdffhlcVFTUo+GPjLGBhYh0k42m86mbLQhOIUStpqLe4aSUrHwM3ncIeWu3d+teGorKu3VesxqTpA6dmozZ4xIR69d7o7aE4JjY27777jv/sLAw18iRIx3N29qLY13hmMgY6wwngBhjSE+MvfeCmRN9Xu3E6VJEcWUNdLKMwTGRGJ4U1+qd0r2G04AJc1Xn2DO0dfXe1z/2VTRhU5kN68qciBw/SwsODkJSYmKHx/+ya7e2Y+curaa21qteSpp7CNiAW/GktrjEq6Sft8e1e25trbRo0aLB//jHPwqaWyafe+658L///e8FJSUlu//2t78VXH311Umtz/n555/9zGazNnHiRHu7hR7l+eefLywpKdl94YUXVj7++OMRAJCQkODKy8vbnZmZmfHUU08VXH311YOqqqqk8PBw9emnnz68ePHiQRMnTkxLSEhwyLLco1Z+xtiAc9qVfgGB3Tlxh8MOAxFZScJ4Y6uw2s23zCnnzlEH/+dPati/boXTPT9el2qMkigK0qMwKQBiSKg8OT4UOyvrIEvtJ7QO1zWpO8pqtQO1jV7HOVUMvFXA+iMmdubdd98NueCCC1p6/3QUx7oqh2MiY6wznABijGFS2qDTutPSmV9WSfERoQDck0C3RtS910tERIRsNpsl4eV8Qg5VFWETZmP6+Zdg9vmLER/vTkIdzMtr9/jVa9dj7OhR0rgxo6Wc3ANezQM0UHsABUZHefVL9va4ozkcDjr77LMHL168uOqqq66qad7+6aefhi5ZsqQGAK655prq3bt3+7U+77333gtZtGiRz13gf/e731V9/fXXwQBgNptFVFSUCgAzZ85sSkhIcOzdu9cEAJdddlnt7t27s3bu3Jk1dOhQ++DBgx2dlcsYO7mYQGem6fRe9bY4WrhnwuWjcy3dHY7sZzbJgf5+sk6WVINT8SqwOpOC6Ow5aThnbCLmprjn1Y+2GNv9UJ9X1yhCzQZpXESgFO1nkiptTq8SO6LbKa3jV1/HxM64XC58++23wUuWLGmJfZ3FMW9wTGSMtYcngWbsJEdE8r2XntOtlk6X0nE9MXFoutfvF5fLJYQADAZ9Sw2ZFAeArnsBbanS6JSZMcdsb10zrayqUktKy1BZVSXPnjm9ZfvY0aO0VWvXSbIsCwIgIEAggAgEgCQCBGCz2WUASd4+z4liypJLq5f9+ZH4zrq8681mbcqSS6t9LVvTNFxyySWJqamp9oceeqi09b7w8HDXihUrrOecc079V199ZU1MTGzp6aOqKr7++uvglStXZrU+Z+HChUn/93//VzZnzpw2y+Hs2bPH2Nxd/uOPPw4aPHiwDQCKiop0ERERik6nQ0ZGhuHQoUPGoUOHOgCgsLBQFxsbq5SXl8uvvvpqxEcffXTA1+djjA1c8TpdcpeTp3RA7uAsv/hIr8vQhIDTpWgGnU5qblwpr6j26n4a9aTNS4895p3ur9ep8NT7XZom8uqatNImhzwiNEDz1+tkALDoZNpbWSdnVjcAzWG01WQ/zUktAaDa7grw+oFOEH0ZE7uybNmygEGDBtkHDx7cklzqLI5xTGSMdRcngBhjYUF+lm6dOCwxBnkl5UiOartS7v7CMpQpmyHJMoQQaJ5HkwBPcoVABJAkCSKCXqejSRPGo7a2DnmHD0On04lwWRGAocvWztCkIcesjlJYWCRsNhvt2LkLUZGRalRkhBwaEnLMuTqdTjpl5gwcff7RqmtqnAD2dXbMicg/NESdc8t1xe2teNJszi3XFfuFBPvc++mHH37w/+KLL0KHDBliS0tLSweAhx9+uPDiiy+u/c9//nN46dKl8XfccQcZjUbtpZdeOtx83jfffGONiopypqent5kYOjMz0xIfH39Mq+udd94Zd/DgQRMRibi4OOdrr712GAC+//57/8ceeyxWlmUhy7J45plnDkdGRqoAcP3118dnZGRYAOCee+4pGjVqFLd2MsZaWIjiu3tusaoiRtd2hFC90OD0t2Dt7v0QnrxK8/TS7pyKOyZKRIIAuFSVZo8eJgHAml1ZCAu0qgd3ZcsdD2z+VVWE5Zi4Wed0iQqbQ3egtglRFqOaaDVLqUH+cmqQP3DUyl+TIlumt+k0Lupl6vZy6MervoyJALBgwYLkTZs2Waurq3WRkZGj7r333qLbb7+9AgA++OCDkMWLF7fp+dpZHOOYyBjrLurhAgeMsQFgxohUsfqZ+7t17ppdWZg1Oq3NtrUHinHKldd3+35UVYVt3TJh1nfUlur2S3kTJpx3adv7Wb8BM6ZOgST13gjXqqrqptD45FuFEK/2WqF9bNeuXYdGjx5d4c2xn93zYNTK51+Obt3qqTebtTm3XFfc3eVue1NVVZV0+eWXJ33zzTcHuz66d+zatSts9OjRSf11PcbY8UMm+vbL8OjTImSdV8OEWzukuJB0VAKoFEKb8tQdCA4P6XZgWvbCB4jf1Hk7RKOeRMyMZDEoyK/lOtvLapEW7Cf89LpeXbXr/BXbdnx9qHR8b5bZlzgm9hzHRcYGBu4BxBhDaXXdT4qqztHJss+VU6Ph2NeIkHr2asnMzBRKrZ30kqS6u5wLaEJITYogQSSaDFZKHDpcjJmUALRqpVy/abNXyZ/iw3lKdXnpMZVh8vROAnl6KBEJIQSVVVaZAPTesmLHmUX/fKRk3j23l216+4Pg2uISfWB0lGvKkkuru9vK2dtCQkK0/q7oMsZOXhrwyiFFOT1C9j2Wxcs62IUGU6t58ARBWIOsPieTWlMN/igfNVyFqoI0DQKAs6pUJkcTRKAJsdGBGBNqFf4GXcuFN5ZUYXhIQJfJnyZF1fLrbaLdWX08Q8DI/a8QAAkBNLqU0J48z/GMYyJjbCDjBBBjDLlFpf8trKienBgZ5vOkl6lx0XC4XMKo/3X+nhlJYVj5/muYc9nvu3U/TXYHTTr3MqBV13RFUdBksyHAam2+Tsv1NE3DmvUbMHPaVCEdPRt1K9VlpWrOD59J45NjdBE+3I+frcYFoGdr8R7n/EKCtVNvu9GrZdcZY2yA+2KH0yFNMvq8OCZkImQ6nRhhMLZsixIkL/vjo2Luv27TgsNDfE4EbSqzYfEbrwJHDddafevvMF3fZrROS/Jnc0k14vzMWkCrhFB7VhdVYkpkEKUF+/vUAGSQpTpfjj/RcExkjA1UvAoYYwwA9n6xbnu3VjzZfTAfrZM/gHuiyFlJYVj5zstY/cm7OLBvt+posnndcpaWmnrMsYqiaETUbhkH8/K0U2bOgCx3PGTs4L49WvWGFTQ+OcbnbvBGvc4FwNnlgYwxxk54Qghtp9PRrR4WRxSXNkx/7AIGyYpG39/3vPy/h17EzrXbtfycw17HRNUvuN3t1MnilGFmg4i3mjus59sUVVtfXIXZMaEwdhI7O6KTJI6JjDF2AuIEEGMMQoh9L33183KXonq1/Guz9XuzMSltcIfnzBochRkxViTV5skbPnvH6/dNZdWxK4CbTCYpP7+g3TLKKio7nytozU8iuiKbEiO6N/+Czl051nd54PFF0zStV+d8OFl4fm/HRVd/xthvY4fLcdc2h93e9ZG/KlIUIQQkuYMFxIbYXUg9UATtlc+lXY++ItVV13n1ntHsTe1vj0ro8JzBgX4dvv8dqoYym4OmRx+7OIK3dBJxTDyJcFxkbODgBBBjDACQU1jy7PbsvAZfzrGaTTAbDV51Z5c1xetya2pr23031da13+NciPbrJEIIrHz/dQxRq4ShBxNgSu6JiE60IbN7y8vLA7nC6xtN06i8vDwQwN7f+l4YY7+pL36wNx2zylJnSlWV4vXe5UUsmhBOu3eLLUlq+7dhiU9qN/ipnSzwsq+qTquwObVEq6VHsUFHxDHxJMFxkbGB5UR7eTPG+s6mn37ZZ56SnuL1CeHBAV4fq0reT3vgcrVf2XV2sL3diSsBrPrgdcxKCgN6mOyW3LNK92gCz/6mKMofSkpKXi0pKRkBTvb7QgOwV1GUP/zWN8IY++0IIbThBuNGAGd4fQ75srIuibDocK/ezWODZFRX12jBwUFtjo8eOQ7Kjh+gO2rhA00IIdOx3ZCyquuRbPWDRe/7gg9Hk4hj4kmE4yJjAwgngBhjzRpKq2rtAI6dvKADh0oqEB0S5NWxZqFCVRXIXqyqMmbUSG312nXS7JkzvCpbE+KYiq7DbhPDgo0CPajo1TY2qYqiotHu0AFI7G45v4Xx48eXATj3t74Pxhg7URWrSg58SAAN1xth0zRh7mQxgmYmgA5nH0JialKX5VoMOmxc9a2UPGmmGhsb25J4URUXEUig1aIIAODSBOnbiXzlNhfSgruf/LErqtaoqEIIkEsT7U9MdJzimMgYY26cAWeMNTtv0ayJPrXojUyOU9fvzfbq2ImDY7H1/VcgOuma3sxgMEgzp09D3uHDbbYf3aBZWVqsrn77P7BnbUPBgRxRX1Mjdqz5CQCw4dN3KTzQ6tU7zuZwqtX1japLUYVTUcSR8iqxOfMA9DpZDg20yhHBgQTA5tWDMsYYO+ERUcgso/kyX84xEiHT5aQqVe0y0JmJKOPR/4qda7d71W1oaqQZOb9saxOjGyvKhCy1DYxri6qQUVWPnRW10ITA1tIaAMD+mgYxJSrI6zlcypocqk1RNUXTRK3DJfZU1iG3tlEKNRnkMLNBMskSzwfDGGMnIO4BxBgDAMwcOfTvp4we5ufLOf5mkzx9RCoOFpWJQTERXbZ4DosJ1RSnU9IbjV0dCkmSUFhYhOTEXzveWP3dC5Vt3LwFTqcTqfV50oyUGACAo2AXpCKJRhCJrE9eFdMT2g79ak5UhQVaxdD46Db3uj37kDxjZGrLz3HhIYgL/3VyTINOh0HREZOIyCiE8G7SBsYYYycsAq6+2i/A6ut544wmbHfYKUTuuj0lEkRl+cVel+2vNELTNEieIV/pp58llX39FupUaAURSZLzUA5Oi/k1djW4FDExMoiONNi0CLNR6KVfx2JnVTeg3OaARITJkUGaTvp1HNmuijptdFhAy7GBRgkjjW3nNorzNwUQ0VAhxH6vH4AxxthvjnsAMcYAABmHC19btTOzW71cCsqrvJpU0d9skn7++G3k5uaIsvIKpbKqSq2srFRramvV+oYGzeFwtrSENjU1Yca0qW3Ot/r7YfeevZg6eRJmzZiOiKCAlusaDXrSyzJkWaIhMeGSLLsrs6t3ZWHN7ixMSU/B9BGpGBofTVuyDsDudAkA2F9QLCamJXfakilJROufe2DahNTkTUQU48OvhjHG2AlIAF+931Tv/eoFrUTJuk4nYm7NsWUv1m/YgdKqWqWyrkGtrGtQq+ob1bpGm2pzODVV+zU8qRGJaJWnAUkSshJGIuWFj6S5Dz0Oq9Xa5qL+nsUP4vzNUrBRLwPAltIarC2qRKTZgJkxoZgeHYJNpTVSpd0dfxVNg0HqYBmzVv42Jc18y6ikLUR0oVcPyhhj7LhA3gzHYIwNfEREUSGBr+x46bHLI4IDzL6ca3c6xa4DBZQaF4lgq3+Hx1XYXFrIrPMkfRerpCiKIuwOB3bu2kMzpk1p2a6qqpBlmRrqarTSnz6jpMjQdiupiqqK9XtzaGhClBZ11KSZzfJLK0VeSTmNG5KoWi1mr4a+VdTWaxf+41Vp3badiUKIfG/OYYwxdmLSEc26OyD4h4UWf6/nxmtWqCiwCw2D9Z2fqtx+GSaNS+/0GFXToCiq2FVQSpMu/SNk3a8xVHE6hM5gpNW3XYOxaFQtuva7Hm0urYFRlrQxYQHtxkSXqmFDaTXi/czaoECL1w3E9+88jCe3ZP3RpSj/9fYcxhhjvx1OADHGWhCR/4wRqZuW/+3OIX5mY6e11jUHSxCYkAJomuawNZHidJCiagiWVYwM7zgJ9HO9CWPGj9dCQ0IkSeq8jrlx8xa4FAWzpk9rs72ytFgNOrClw6TNwaIyDIqJ6LTs7traZMDLH39V9ea7758qhNjZJxdhjDF2XAiV5Uf+HhR291hD52OXs816+I0fhtDYSK2hpg7ORhspLoWcAFK2ZAId1LcPTBmOaRfNR3iQVRg8PXY6UlRZox2wkZQ+/RQ1IjahTQzccePF6ihLx+POcmoaMCSo49jcXevrXSiIH4ybn3vrrpqGpid6/QKMMcZ6Fc8BxBhrIYRoIKI58+/91+qPHrwlrdbu1MwGnThc59QljJuqQAgoLie5nE6ccvm5zavMtsniKKqKPcs/EiPDLO1WZA1CQXhYmLR67XrMnjm90/uZOnkSXC6XUFWV5Fb1WlVROs1cF1ZU90kCaOvBQky+/AZMOe3MkLi42HU6nW6Roijf9/qFGGOMHRcqVfXBIEn2ezgo5LZBJhMESHMRdKm3XCqEqqqqosLlcNKpqUkiPC5Sh3amV/h++WqE/e+Hdsv3L6pAbHgwsvKLkJbQ+QjjmNAgKQbApl+2yxGxCW32ddaN9ZfyWowMtWrt3VtPNCqqNuT002hGTBQNig5/ODYsZFBRZfXNQgieIJoxxo5TnABijLUhhCgnomk3v/1t9ftvvSZZLBYa5N7l1ftCJ8vQDxoJrTYXR08jkF1t02affYkEAIkJcSo6r7MCAPR6Pa1ZtwEj0ofBZrdpsTExkqooHbaSVtbVa9NHpPb6/GaaJhAxfrZGRBIAPPrAn/0S4+O/8LNYbm5sanq9t6/HGGPs+FCjqXfEBAec+u3Dt48enhzXHF8IXsbFOfNmiFWrtovQkqq2sYkIqddfKABQWkIM5RaWqSmxEV3GxVS9DariQtYv2zB8onuuPKmTHv1EJHRddbnthu2aQZodEwUAmDwsxbLq6fuuOu/+pxOJ6EIhBK+cyRhjxyGeBJoxdgwhRM2yFd8MOnPhhdkOp9Pl6/nDR4ygXRVNx2xX4oe1JG6SEhPl3AMHVG/KmzBuLFyKC3v2ZUgZWfvVjL175Wp7+3Nz7s0rlCTJqzmpvVbbaNOydGHaoGHD27wz/3D1EvNn/3v3+YjwsMfo6DXqGWOMDRjFNfWTzrjnX//Zuv/gscGtC3qdTNK8qcfUuY/MHCUGt1qVsrCiyqv56EKsfshf/i7sefuwZ+8+7Nm1C/Dzl9V2qvWlTQ5tTFhAr8en1U4Jsy6+oM22QdERltXP/HnOtOFDNhJRaG9fkzHGWM/xHECMsQ4R0aCH7//Tvgf/dI/J13M1TcPq5csQBrtWAZMUnpSijRg5sk3tdM269Zg1o/NhYM3KystVSZKksNBfJ352Op2ioqJCq66qRF11teRsrCd7dTlOSwz29XbbZXM41d0FZXLslFO1xNS0DhPmW7ZtV89beEFNSVVNtBDC54QZY4yx4x8R0fjU5A0bn39wUpeT2LUj53Ah8p96Dw1piSJ4RAqmTBktDHpdSznFlTVqgJ+Z/ExGr8reogZj6sxZLT9rmoaa6hq1oqwEtWWlZKuskJqqqzBz/1ph1LReSQLtqbOJuvBomnH2vA6PsTmcyrl3/U23MjNvsBDiYG9clzHGWO/gBBBjrFNWq/99+3du+3NMdLTF13PXbdyEGVOndLjf4XRqe/ftk8aPHdtlWdU1NWpjY6MUFxvbaSW2sbFJo+3fwajreXf3jQcKIQaNxczpUzs9btN3XyG0vgSXPPbCuh05h84WQtT19NqMMcaOP0Q05PHrLt19+4XzfW4YaXI4hU6SyKDveOTY2t37MXPUUK/K22CzYPqcU9FVLmr9Ew+LySX7e5wAcqiasJ1xNgUHBnR6XH1trVr75TL5r9uya/6bUTBPCLGlp9dmjDHWO3gIGGOsUw0Njc8uufb6ku6cq2mdzwNpNBgkWdZ1eRwABAcFydFRUVRf39DpcX5+FmlPtcOn+zxavc2urs0tQtiISYIIXWbJ1bICMSgmAj8/+aeJp44bvp2IOp/JkzHG2AlJCJHz1MffPJ9bWOrzHDe5haWis+QPAAxPjhVZBcVelTfF1Ih1P7c/uXRr0qjJXpXXmc21Dmwzh5DJ1HXea/8veyjWz4gXZ48MenRy6kqdRAt6fAOMMcZ6BSeAGGOdEkI0/rRy9eX/d+c9jcLHLoMWsxk1NbWdZnfGjBqJ7Fzv5gKSZRlOlxMOh6PT+3D6h/bo3baz0imfsuQGpI2d4FWLqcvoTwDgbzYZv/7rHUkXnTL5FyLyrgmXMcbYCaW4qubhK//+UlZ5TZ1PSaCkqDBkHC7s9JgQqz+VVdd6VZ5EhPGGJrFxzepOjxs5bYZwkdTtLv97am2YtORyzDhnHoioyxabiPg4NCqqCgD3jkuxvDpn1IcWvfzH7l6fMcZY7+FVwBhjXRJCbCKiKVVV1duee/KfWkhwsNmb8yaMG4v9OTmk0+tUfz+/Die3LC0rk9NShwAAsnNytYrKSknTNERHRWlV1dVSXGysEh0VqQOAurp6hIaEdJqYGTVhkqrs+VluHgW2LrcQupBI4aytpsEBejU2NOiYe8krrVRLG+ySZg2lUy660pvHazH1nAu16rVfiGCrn6zXybp377shPDY0eCsRnSuEWOVTYYwxxo5rQohGIpp61p+eWPXczVeOnjp8iFcxMcBilobERondBwto1KD4Do8LC/x1yfaahiY150iJZHM4KTIkUHMpCqmawOjBCQQAJp1EISGRAu5Vydrl7+8vbQlJEOMqDwEAcuptqIyME67GRvKvqxFjA03HnFvjVNRsuyrZdQYae/5CVZJlryaoBoCEwUnSuvXrMd3f/fMVQ+PMsX6mp6P9TENLmhx38TLxjDH22+EEEGPMK0KIvUQU+dOqVY+9/+Zr18yZNdOrOYGGDhlCW7fvkCeOH9dZ2ThSWCRyDx6kmdOmSqlDUpp3SYORjNXr1uuioyIBAHX19V1eMzAwUF5R4kRiYgIMJrOYdeW51LxKl62hntYs+xAW4RJNkElvDRbJo8Zpg6cOklM8C3k5HA6tpqZWUzWN6urru6z0Gi0WaUO1A7Osfu6bJqLHr7/UmhQVtsKg1/3e6VI+6PKmGWOMnTCEEA4imjZ76V8vWHrhmW/87Q8X+UlerAap18lUb+u841CI1Q9Ol4KNGTkYEhuFiWmDmsuVACAzv6ilN8+6cidmT0vr8rp1Q8fRzjyC2c8Pg1JTRKrJSJ7noK0/rxEoOAyHJJNmtiA2fZgaPyiRJpvNzeXKhYcLVKPJhANZ2fLk2V0v3pAwY7rm2rGR9J5lOefEhVl+PG/y9QtXbE8mokuFED0bq80YY6xbOAHEGPOaEKIWwC0BAVapYH/G7wMDA4zenDcsbSgOFxSIxPj4diupoaGhalxsjBwX28HUOa1GngUFBqC6pkYNDjq2F09rManp2vBRIyUc1Spq9rdKcy7/A1ptp1179sp5mzZDUzVIsoThaWmIjIzQAcDBvEPePCJ0Zr9jtt10/unm+IjQV4Otfsk1DU1/93UIHWOMseOX553+CREVDomLWvX7M2cbvDlv+vBUrNmdhVmj0trdn1NYKs0cGYTZo4cBwDGxTpYkrXn7mEBJW796pTR99pxOr2kMDBRjp05qiXvN24kIk06d3SZO1lRWS5u++YF0JjOU6ipEKXYt1WqSAcCsqFBdkyF3MZdRQFAguTQh9NKv1xoa5G9ZtXDK/POWb1tNRPOFEDWdFsIYY6zX8RxAjDGf1dc3PPDgY3/Te3u8v58f8guOdNhC2VBf3+m7qHWjak1NLQIDArrsleNpdOzUnn2ZyM7NxYj0YWLG1CmYNWMaZkydguDgoJb7GZ6ciK8euQ+NVZVtuqw3VJarxRl7W+Yu0mor2r3GudPGWb775933JUSEvkZEnHRnjLEBRgix8amPv/lZUVWv5rMDAKvF1GGDgEmv77SxoPVljLJMCYOHeHOTXQbFovwj2tq334P+p2/ELNgwzV6FWWYg1WpqiYkGInz56DP4Ze32NvcoNA2Z2/a1/ArysnLIopOPie0RZqP5p/OnjJ2XEP4LESV2feOMMcZ6EyeAGGM+E0JUfbbsy298OWdQUqKoq69vt1KbmpIinC5XhxXe1gkgWa/Tulry1n1O5xNertuwESOHD0NqSgpkWT6mYlyVf0hdd8uVQvv7reqZdYdQ/sD1yPxhheZoqBc/P7gUrkdupqZ/PyQBwMr3X8PomFClo2uNT032W/X0ny8emRz3HRF5NVcEY4yxE8f+guJ/rdyZ6fU8OWNTkmjb/rx2901MG0Q7svM6jGGa9usuvUwkS3KXc+p0Ne3Oph9Wwm/Daprhr0N7iRshBD5amYUflu1WE/Nq4Hr5M3z8z9chNA2rP/tRfHP1A5rt2Q90ezbsVPft2IWg3MwOr2XRyYZlZ06Ivyot7hciGtXVvTPGGOs93BrNGOsWAvlffd2NuObKy6EJgeDAIIweNaLD42NjYmjdho2YMW1qy7baujqtrq5eEJFcXlmhpaWmtttC2VzVzck9IPSyd68tqZOpGHbt2SsmTRgv0EkSPPcf90pTLBIBOhkA4sx6SfnmHVGx7A0xy6Qn6GXJKJG27sWnKCrCCqvF1OmNJUSEWn5+8r6pC//yzBYimiuEKPfqQRhjjJ0ItH9+8BWE0Q/m6ARAUzEzvPMRYUlRYVqj3QE/k1ECAFXTRGF5ldDpZFFvs3eYTFI9o4ltLlXscPnRrJjorltFOmkSqaqo1AIKD1NAgLnDwLl8a54YUuMikHsyaB0RDd57EN9d9YAWAZKscAfdjA+/k6OmD8Ec/86Xi5clkl+dMyo42mLcoJOk8xVN+7HLZ2CMMdZjxFNSMMa6g4iMAEb+6c6lW//28INwOp3azt27adKEjpdOz9y/XwwbOrRl/7qNmzBj6pQur9XQ2KjV1dVLNrsNg5OTuzx+9959UDVNG+ueAwgA4HK5xJ59GWQ0GLTh6cM6rSyv/Pv9mFl5sMvrAECRkLXYCy70ujelw+VyXfbYi2XLNuyYK4TI9vY8xhhjxzcisg4flpa5c9O6KJ1OJ6/7+UdMNjQIqZMWicOlFUiMDAMA1DfZoNfJMBk6Txwpqiaq6xu03Q6zfMbCC7u8r/yCAm3v1k3SvKhfyxVCoORIkTj40880wU8nDHLH46YPlNRqZRsOwURedL8FIE+Lx6jIIG8OBQC8vO+w7Y71mTfaFfVNr09ijDHWLTwEjDHWLZ4VPPZv3LIVpWVlMBgM0oRx47Buw8YOs8rDhg6l7b/sbPlZVTocNdWGv5+fFBMdBX+LnwoAv+zajX0ZmS3XOZh3SM07dFhdtXYdiopLtFEjhqO2prbl/bYvI1PUNzRg3JjR6Cr5s++7r7XpFQe8ui8ACCUVmQfzvT7eqNfrP37o/2JuWXj6ViLqeikVxhhjJwQhRH15ZWXsT6tWywAwY+5p+EWOgEPVOoyLR8qrWr5vsDlg0HXdy1UnSxQeFCAbjO51GCqrqrS1Gza27C8tLVULCo6om7duE7v37BVxsbHSiAmTW+7B1tgkdr35FqK2rqNpAQZ0lvxxKorYvyHP6+QPAOQX13p7KADguuGJ5i/OnPBCpMX4N/JiJTXGGGPdx0PAGGPdJoSoHzN6FD7+7AvcfP0fIUkSzZg2FVu27xCyJCE5KVHoZJ0ICLC2dGWvb2j49XwfruVyueDv70eVVVUiIT4OJqNRy8jKIovFIgYlJ8kAkJyUCHgS2/FxsWLV2nVERJg+ZTLpvKhUK06HoC/eIsnP6/mtYQSkmqpqYFCC1+dIRPT0jVcEJEaGfW/Q665yupRPvD6ZMcbYcauivOKBHTt3PTp82DARFxtDk6ZOo/z8fC3vl800zJ80RRMi0s/QEhOTo8NbzlU1TRM+NM7qTO4p5bKyc6SZ06YiOydXVTUNgwclSwa9nuLj41qOTUhIoBVvvwhTcT6iFDtGB3o3Hd0Xa3NpCB07T15nRJ3vK7yfFh9m+f7cybde8M32QUR0pRDC5XMhjDHGusRDwBhjPSJL0p/3btv0WFl5BWbPPLZDS0ZWFmKjo9XAwED5wME85Bw4iMiIcI2IqKmpiaZNmdzlNfZlZmqhISGIioyUVq1dh1NmzvDq3g7nF6iJCfFeT8q58rE/YWbNYW8Pb7HBEIiJ808TBp3O55bLj1dvsf3xydfuq2uyPePzhRljjB1XiGjQy88/c8Df3w+XXbT4mP0OpxOZ336CkWF+0DQN32zZjYjgABj1OrW+yS5PH5Ha5TUcqqZlmeNozLjxVFJaqsVEezEHEICVb/0XM/es9PpZsotrRPXGfGEg8mnEQLlFRuLEeAwNsfpyGgCguNHetGD5tu27KuvOEkI0dH0GY4wxX/AQMMZYj5wye+Z5w9KGQpYllJaVHbPMSHpaGnbv3Se/+ubbyuW/+0P1K6+/iciICIwZNbJN8ueGW5fixVdebfcaDQ2NUlRkpLRz1x6MHzOmy9VOmuUdPux18id3/RoxubLjVVc6M81Zi4yvlmP16g1wODtezaw9i2dPMn/116V/jQkNfp6IvL5fxhhjxx9JkuacPX9e4ykzZ4gNmzYfs99oMCBx5pnaZ5t2azc995bz3v9+WF9eU4dRgxLaJH8+XbNVu+TRF9q9xo4KuzRuwkRqaGgQVVXVXtfl4ybP9HqZeiEEMjYeIl+TPwAQ3qSidGO+tnxXPrIq6306N9rPZFl5/pSJc2JDtxNRrK/XZowx1jnuAcQY6zYiSn7h6ScOLjjrTBEfF0uqqqqyLB+TxGhoaFQCouJeFELcBsA4YdzYVW+8/OLkwclJmtlslt7934e2311308G/3HfP8LmnzHZMGj/O4HA6FU3T6PW339XJkgR/f380NTXhxj/+wev7y8jar6WnDe2y8iqEwC83XixG+fneg+do64xB0PR6jJ46WQRZ/bwu72BxWdO5f35qVVZB8QVCCHtP74Mxxlj/O+O0uQdffeG55IT4eCiKoul0unZj0HkXXVbx5fIVcUIIh9Ggv/nDB25+fmp6ihpi9aOS6lr7nKV/25oSEzH7wSULERsW4gqx+gmLyWhYti1T5Dp0FBEdA0VRcNGihQgI8L6nzaE/X6/FOeq6jItfrM9BYlnPQ1GJVQdXoBGDEkPFiIhAr2OiomnKNT/vrvkgp2i2ECKjxzfCGGMMAM8BxBjrgfCw0H/Excbitrv/RLdcf23jKbNm+rV33PJvv9MJITYA0AMYtWdfxv4jhYXjC44ckdas3wBN1XTLP/0osayi3PnpF8sMy75eQTm5ufrhw9Jw9RWXY+Watcg5cBA2mw1vvf8Bzpg7V42Oiuyyt0x62lDpx5WrcNqcUzo9bs1Tf8X0Xkj+AMAMRw3gAMq+X4Ha+WdrgX4Wr1pPB0VHWFY9/ec5597/9BoiOkMIUdMb98MYY6x/ENGYZx//Z/Ld9/8FM6ZOUf94zdUa2ult73Q6XavXrT8CwElEwwEU/lxs0wbPGyv+9e9nZJsK3cOP/XVyVESE7Zu168zYt1O/dncmkpKT8NQ//0lln38Bl0vBsq+XawFWqxQVFYlZ06d5dY8ZaZOkyF0/Cj3QYcw7UlmvhZc2EajjyaG9FVWvAPUKXEcaad3YKMxICu/6JAA6SdK9dero0HCzYRMRnSmEWN/Te2GMMcY9gBhjPZCclPiuqmpawZEjVwE488933/nxY3+533L0cXa7Xbv06j9IX3z19YN33f5/j1yz5IrGtNRUPwAQQoj2Vv3IO3xY2b1nH2pqa3Wzpk9DdFSk6++PP62/9pol0Ov1SmREhFcJ7JLSMhwpPCImjBt3zDWEEDiwcS2C//dvLdDQfittT6yPTsGMqeN9OqfJ4XRe8ui/S1Zs3nWKECKvt++JMcZY39DpdOekpw19Yc++jNEAAqZOnvTlj19/kWaxWIytjxNCiHc++JB+d92Nt82ZPfOZ6675HS5ceJ4gIuooJjY2Nmkr16wVdrtd9vf3w/zTT8N7H36M4cPSoNPpxIj0YV4la1Yt+wTSwT2YVpjT7v7yOht+WpWNoWrvzxJRHGTQzprTda/coz23O6/p3o1Zf3Cq2ge9flOMMXaS4QQQY6zXyLJ89c/ffPWf2TOmm1pv35+dg+ETppT/+e47w/9y3z1CkrrXqrh67fp2J5ruTHVNjepnsdD+3FyMTE9vU/HM/Ok7RH35Gqz6vukMmTFqshiekuTzs6qapt3w9Bu1r3+75jQhxI6+uDfGGGN9i4hCr//DNYUvPP2EoXXcUxRFzDrjLJIkCZ+897YWFRnRrWxLRWWlGhQYJOt03k8ft3rZJ5gRrsea1Rsws7KgzT6XouLrL/cgqY+moyuI88O5Ewd169xleSVNf/h596M1TuWfgj+8MMZYt/Ek0IyxXqNp2lunnnXuvz7+7As8++JLbfaFhYbqNm7eUrNqzVqhKAoURfW5AhcRHub1BNDNZEmGwWCQEmLjxKHD+W0mwGwoLYKfDxVnX9VlZFBdo83n55QlSXrljt8H33/FeWt0sjyvL+6NMcZY3xJCVL706utTbr/nPvrLY3+H0+VSPNsRGhKC7Jzc/61Zt16qrqlR7Xa7z7EiLDRULikt9TEuui8za/Y0rLWEtrmmU9FgFfA5znoroNymZlbUdevc85KjLMvPmfRAnJ/pP7xgAmOMdR8ngBhjvUYIIVRVfeSiK69etPSe+666/+FHHaqqalu278B5C84O3rx12+unnXP+K6vWrsPuvXtJVb1ekAQAUFZe4fs7y9PmGhgYIAshqL6+XgWAfd8vR8rmb4R0bE/7blldWInSJnubivMUpR6V367AgYLibrVWPnTVIr//3Hb1534m4+975SYZY4z1KyHEzudefGnCI3//51nzz1uUX1pWZq+pqaXIiHCEhoRMu3jJ7y64+/6/yPUNDZSdm+tT2aVl5SIuNqbbdflpp8/BTsksAKC6wa4u/3YfQiW5Vz4bfNfQgBX1bVdxD3RocvXGfPW7jCPdKnNSZJDl5/OnXJke7P8VEZl74z4ZY+xkwwkgxlivEkKoQojPVVV9+6//enLUokuvaIqKjMCb77yX6VJcg0OCg4PLyssxbsxorN2w0aey42JjUFNT61PrpNB+zb0kJyVKeYcOS9uXfYy4FW9rVn3PJ352qJq6rqgKs2NDYVc0bCmtxi/ltS37k0ihpiZbt8u/5szZ5k8e+r/nIoICHm1vXgjGGGPHNyHEdiHENytXrx0xadbcb7bu2IGcAwdx8NChjLDQ0EdLSkpEeFgYCORTY4HFYsamLdt8vJlfv9XJMqXOnyf2uSSs/T5LGiJ6p2PNusYmLbvBqRY2urRny6rwSmVNyz6zImRHg7PbZScHWCwrz59yyrSo4A1EFNoLt8sYYycVTgAxxvqMECL7y+XfnPL62+9ix4Y1g++7684zDXr9pOCgYJSWlSkzpk7Rtu34Raxasw679+7rsOJrs9u17b/s1HIPHERQUKBP7y1FVdr8PGrkCHJZQ2DQG7w6f3VhJfZV1Xe4f3t5rTwjJgQAkBhgkSZFBmNUWADWFFW2HFNfW9ujxM0ZE0Zavn/8nqWDoiPeIyJ9T8pijDH22xBC2PILjiy+674Hsu+/505s+Pn7UxobG4tOnXMKbd2+QxuSMpgO5h3SVq9dh3UbNkLTtHbjoqZpyMk9oG7/ZScFBwX6lDTSjopGfiajFHnGGcIS7d3qXF/XNeDDmjrYO7i3WkXFvnqHZIEkSyDJX5Mgu4BnS6pQ4Rn6LdlcvtzyMUJMBvP3505KX5AUsYuIBveoMMYYO8nwJNCMsT5FROO///LzVaefOsf/YN6hptTR419OGTTouttuvsFy9RWXqSaTSQbcFdra2joEBwcBAAqOFKp5hw7J/v7+2sjh6aTX6yk7N1dJTUnxasZmu90hTCYjlVdUqOFhYcc0a+7ctEkM+vw/wqK6jkkoVdudYm9VPfnrdWJseCABwOaSaiQFmDW7qklGWRJFDQ5Y9DLSgv3bTe5oQuCHBhVD/U3CeurpIiwooMcJ9+LKmqYF9z+1Y2fu4bOEEB1npRhjjB23rllyRenrL70QAQCTZ5966MDBvM233nT9xQvOOhNjRo1sOW7N+g0ty7s3NDRq+zIzyeVyIT0tTQsJCZYBoOBIoRIfF+tVXHQ4nWLjt1/RzLBjD69taNI2/OM1RB4uPSZWNWma9mNDk3TQ7oRFI00GSU3QtNFWE8XrdUIDJJcmtO/rGiWjRkKH9nurNsgC14UHQoyPxbSEMG9uuVOaENota/bVv5KRf4YQYkuPC2SMsZNA3yx9wxhjvyrdtHWbv8lsFJWV1ZboqMi4/Tk5I7Oycw5UVddQTHQUAECSJBQUFoo9+/ZRcnKSEh8Xq4uPiwVa9VRUFbXTnjRl5RVqRlaW7GexIDVlMO3NyMDwDpbGHTNlCu0zGhH34bOan+KUACCrugFlTQ6MDQ+kmTGhQMsMQsDkqODW90JRFtMxZTbThMAmc7CYNn8WNu7KoMCiMtp3uBCpcdFqdGhQt/vYR4cGWVY+ed+ECx96djsRnSKEKOpuWYwxxn4bhwsKtDXrNkBAwGr1T6qsqhr26Rdfjj/vnLNTWh83YtgwdfXadXJISIianjZUmjxxQnNMaokjcidT9iiKom1ev1bSV5cgUA/IRIjTAe1V/wP9LdLs+/+orfrHa1rUgSIJAEpdLvXnRptc6lAkq5BgdYdACQAskKSceidy4Gy+J8nPvavdmFsvaeKG0CDKMUkYY9Lj618OISzMH1Piu58IkoikF2aPCIzzN63USXSJoomvul0YY4ydJLgHEGOsTxER3XPHbdo/HnkIy7/9DudccPHpQogfiWj0xPHjVm1e/VOgt3Pb7MvIVIenD2s3gbJl23aEh4UiOSnJp/vbv2+fCH3nSeGqr0VuTaM0NTrEp/Pbs94QKGacM/+YZzpYXKaFBVpFgMXco4kWFFVVrv7XKzX/+3nTKUKIfT0pizHGWP8aOXz4F3u2bjhPVVWRMHTEZ4VFRRcSUYDZbP5g58a1s1OHpPh5W1ZpWZkaGRFxTEzJz88XBds30JRI3+ZKtjtd2o//ep38Mw6JMlWVfqhqhKH9nI7X6iVN3BAWBKMktSlIJWjahBhpUlzPp/L5ILvQdsPqvXc3uJR/97gwxhgbwHgOIMZYX7OaTe4KqNXfCn9//8sAQAixa+v2HTcdKSpq6PTsVlSt/fmfV61dhzGjRmq+Jn8AYOjw4VTzu3tot1OSemPt2/U6a7vJHwAYFB0h7TlY0ONZNnWyrHvn3utD77zorE1EdEpPy2OMMdZ/jEZDMAC4XC41LCz0AiLSCSHqbDbb+e9/9HHH3UvbIUvHhpR9e/cKY/YW4WvyBwBMBr00797fI294svR1VQOc6FlLcT1p4vqwIHF08gcAZAGpPLeiV5advzQ11vz12RP/Ge1nepoXTGCMsY5xAogx1teu/92Sy50AMHnieOXOW2/5XUR4+DK9Xj8VQEF+foHXlUtNO3r6Snfy55SZM2AwGLr1PqtvaNCOlJaT6bwlmN7D3j/rJH8x49yzOq14RoUE9kpll4joH9de7P/sTVesMBsNl/dGmYwxxvoWEcWed87ZswDAZDLp7ll6K2bNmJ4jy/KNAJSS0rLaLopoQ5bbJoAyM/aJuIr9WphF3+06/o7DpRj/53sQEhaq+ePYxI236kkT14UHCZMkdXgvMdVOKbeqoVfi4oyYEMsP507+Y2qQ32dEZOyNMhljbKDhBBBjrE9JkoSIsDACAKPRqPvLffegJC/73KX/d/OGoKDAmW+//z+vK37aUT2AVnuSP91RU1urrlqzDkSEU2bNwOxzFiDPEqp2qzAAa2ESM88/u8uKcv7+Q9LXHyxHZm5+dy/Vxk3nn27+3/03vRJs9bunVwpkjDHWl6S42Bh78w+XXbQYq79bnrT6u+UvJCbE7/jm+x+W2R0Or9dJJ+nX3i67dv4iYsv3C3+DzueeppqmYWNuocgPGqROu/JGGjttFsbcdE23PyfUkyb+GB4kzJ0kfwCgTFW0d9fnSisPl0PthWkp0oL9LavPnzpvQkTgKiIK6HGBjDE2wHACiDHW1/L++8bbek3TWpIrkiRhzqwZuO3mG/66NzNT2bjZu8U7hqYOEavXrgMArFm3QczuRvKnsrJKXb1uPYwGI50yawb8/fxa3oPlU+Z1+52YPn1ql4ms1Wu2CesbX4uYFRthe/gVrPj4u+5ero1zpo61fP3XOx5Migp/nYh4cn/GGDt+1X7/40/64pKSxtYbrVZ/8de/PDgmIT7+/BdfedVgt9u9SgJlZu2XKiurxC/bt4mUukPCT9/JrNDtUFRVrM8tRHHkMHXGkhspOX1kS/Loohv/oMlWv271zgk2yGTpIvlToara8qoGUXGkHp+uyMIDn+4Qds9S8T0RZjaYfzx38th58WE7iSi5p+UxxthAwpNAM8b6lGcs/jkrPv/kvTPPOM169P4vl6/AxUuuOfLqi8/HjRszWg0OCpSzsnNg0OuFpmmkaQJCaGj9ptJUFXNPme3TfRSXlKo5Bw7IUyZO0DoaLma327WKR28VUY56n1pPt9faMeLiizSTxdxhZXf9xp0wvvSpkDTRppdQ6aJTYAkNwuxZE9o9T9U0qJomFFUTqqoKVdPgUjS4VAWebbC7FHK6FMovq5TueeV/B7KPlIwSQjT58gyMMcb6BxFFXXnpxb+8/erLUUfvszXUY+zEKWWz5s6NuPbSC5WYhCRdcW4W7EcOQAOEAJFGEkAEeP6ttjsxf0ikMMqy18O1nC5F23y4TEqdNU+NSRrUYcx7eumfsP/ld316PjsEJgeaMcHc8XRG1aqqfVFVD01t2xgdMygI8ZFWXDwyAYYOclkuTROKJoQqBJr/dakaXEIIRRNwaYIcqko2RZOe2nkAnx4sHSuE2OnTQzDG2ADFCSDGWJ8joqC/PfxgyZ/uXNpmTH7z/D119fUOk9GoMxgMss1mg9nc+cSVa9ZtwKwZ07y69oG8PK2kpJQmT5wAnU7XZeV41ftvY8aOb70qGwDyGx1CnjmH4pLiOzxm09Y9QvfCx5DUY+cwAgBFkhD06HWICQ/VdLIEWZKJiEjnW0MuAKCmoclx3gNPZ6/fmz1XCFHhcwGMMcb63NTJk37auPKHua237f9lm5ZYny8BEA12uyPY389kczhhNho6LWvPwQKMHNRxDGqtwebQdpTUSCPnnqOGRcd02dhRXFyiPZwy0adgFGHRYUGAf4f7azVV+7yyHqra8UiECVPicMHweE0nEWQickdFQOrG/M73b9rf8MTOg+cpmvazzyczxtgAw0PAGGN9TghR89Gnn68WR2WcQ4KDBQAEWK1Gg8EgA+gy+QMAeoMeRcUlnXZLr6ys0jZs2ozBycnS9KlTyJvkDwD4xcZ7lRVf06RhizVSqx48VHSW/Nmyfa+QX/ykw+QPAJQNTdBSE2LhbzZJJoNB0uvkbiV/ACDI32L8/p93D10wdewOIkrpViGMMcb61KYtW/+za8/eNqtglhzMlvQ6GXqdTMH+fiYAXSZ/ACAuPETdd+hIl8etOVgCGnuqmHP5H+FN8gcAgoKCYIgM7XIYWD1pItwiiwiLrM3xs3Q4n16dpqmfV3We/CEA5w2Lg9Wgk8w6WTLIEskSdSv5AwCPTRnq/9T0YV8bZOnKbhXAGGMDCCeAGGP9YufuPR+WlJa2mfPAaDR0qwvi1EkTkV9wpNP3l6Iq0rQpk30ue+LsObQ9bFCn97XGKWH2FZdi8umnSGOmTe7wPnbs3i/o3x8LWVE7rbWaKmp6dclao0Fv+PSh/4u96bzTthPR1N4smzHGWK9YvuzrFW26yWiKq1sFBVv95HqbvcvjghJTERAS6tMQZ7PZJJ3+9/s7jVEN0LSrQwPFuQFWWhBglfzbW5seQJOmaZ9V1ZGqdP75QwAoqO/dUcw3jkwyf3HWhJfCzcZHeZl4xtjJjBNAjLF+IUlScFBQUJumzLKy8m6/g+yOziu7eYcOQ1HVbk1eGX3JH0RHJ66xE2ZdfKFX5RR/8iPJitrlM/o32NSv3/8aeUdKem1MriRJ0rM3Xxnw2DUX/qiT5QW9VS5jjLFeERwfG2NrvSFlwjRR3dDYrTgQ7O/X6f6ymnotOCKqW2UvuPhCCpwwst2w2ABNWxIWKIK86La60WaTukr+NPt2dyF+OFjq66126oz4cMu3CyYtTbSa3+AFExhjJytOADHG+sWwoalTzCZTmwTQpAnj8cuu3T6XtXnrdkydPKnDiuzmrdswYdxYoZO7N44qISlJ2hw74pjta+zArEsXw9vGw4DyGq8SUAabQxfzzSZkvvq5bzfqhXsvXWB54+5rPwywmG/r9cIZY4x118gxo0e16fITP3gIbSqu97l3itOliCB/S4f7y2vrNWfKeCQNHdbtni9nPXDnMec2QNOuCAsQwTrZq15FdT60yeRnV+KrH7JFQb2tw+Fk3TE6LMCy8vwpi0eFWn8komMWpmCMsYGOE0CMsX7hdLnaVOLyDh3Wcg4cEMmJicjM2u9TWWaTUUhE7SaANm7ZKiaMGyu8nfOnIzFnX6jlm4Nb7nlNk8CsSy/yOvkDAC6z0afWVp3N0Sez8l926jTzir/f+de48JAXiIjf+4wx9tvTFEVp+aG8okLLzs3V4sdOx5qDZdB8WKSFiGBzOtvNrpRW12nOIRORmDqsR+/+abNnisRLzhXNMbABmnZ5WIAI1em8HlJmkHwLy5oGsnUxhLo74v3NltULp045NS50BxFF93b5jDF2POMPAoyxfnHgYN7nH37ymfPQ4XysXrceIcHBNCI9nYKCAjE0dQj25+R43TQ4auQI2rJth+R0OtvUkDds2ozJE8ZD9mEp3I4MTk2Vkh5+Xl475nSsbdIw6/KLfUr+NNkdwr+63qd3rLHJIVyK2idJoKnDh1h+fOLeq1Pjoj4jImPXZzDGGOtD25589t/kcDqxau06lJdXSKkpKdLoUSMw54prsa6g2uuC9DqZKmsbyNkqoQQARVW1mhg+TSSkDO1xfV+v10t/eu0FumHd13AG+uOSMKsI8yH5AwB1iuZzfKtscvbJfD3+ep3xq7MnJl2UEr2TiIb2xTUYY+x4xMvAM8b6TUJ83PMfvPX6zdPbmZy5pLRUq6tvoNSUwV5V9rZs245ByUkoKi5BVXU1dDodpk2eBEnqWT33yJFC9XButqQ47SRcTlhdDWJ0uJ9Xc0Y6XQoMeh02btmN8rU7ELcz1+frRz55OyJCgoRe1/MkVnvKa+psC+5/ave2/XnzhBC1fXENxhhjXSOiCS8+8+TWWdOnYXj6sDb7VJdLrP3fazRzsHcdVCpq60VRRTUJQFM1TdLr9YicPl+NThzkU5LmaPX19Wrm1u1UfeiwpDQ0wJmXj5AfftYsNnuXwVYVAgQgw+VEtaoiu9bp8/UnTonHpaMShEH2sfuQlzQhxNL1GfUv7Dl8phBiQ19cgzHGjiecAGKM9RsiCh+aOmTri08/GTf3lFnHVEo1TRNbtu2AyWQQY0aN8jqT43K50NRkE4GBAd2qINrtdrF1wzqiukoxKcxI3alnrtvwC5o+WwlbYiTit2R25zZaVIcGQrfwFMyePbFH5XSkye5wXPjw84Xfb9szWwjR9drBjDHG+sSg5KSnz19wzm1P/eOv7e7P3btLLfplgzw2NlS1mIxeJ3PWFTdh9gWXdvu+Nv+0UpTv3kuB7/xPM9XW+dyyUqupYll1PVl0Empt3VqPoQVJwMgxMbh0bKJmNej6ZPTCE78cbLp/c9YViiZ6fzI+xhg7jnACiDHWr4iIxo8ds3rDyh+mGvT6DlfhWL9pM8aNGa2ZTaYuK3vVNTXC4XAgKjLSp8yNpmlY99WnYkKIDsYetC46nC5tx85Myfj8R90tol1FqfFIveJskZoc1+stn4qqqtc++VrNOz+sP10I8Utvl88YY8w7BoPhqrU/fPPi5IkTOpzJ+cjBHM22ay0GRYZ6lQDZUGbHzPMv9vle1n/znVD+8lfNUlndo55DVaqKLyrrNKH13rxzerNOnDY9ic4e0jfT9nycW2S7YfXeB2qdylOCPyAxxgYongOIMdavhBBi+y87L/2/O+5WNa3j+QCmT5mMoqJiyeHsust4dU0NwkJDfU7+fPPWq5gebqCeJH8OF5Xh+w+W93ryBwBisguw/70VfdLtXSfL8ht3/zH0/ivOW6uT5Xl9cQ3GGGNdc7lcb193y22bqqqqHR0dEzdoiJR89pXSnvziLsvThEBwTLzP9/HTVysg33YP9TT5s9Fmw+fl9ejN5A8AuGwKfftzLsqa+mbBhMUpMeYV50x6OM7P9CIR9eh3wBhjxytOADHG+p0QovDl196YuuQP11Xa7Y6WZXCbbDZnZVVVU/PPgwclY+PmLW3ObWhoVA8czGuzrbq6hnS6DjsTtWv5k8/C+PxrqK5r6Hbf9IycQyLjhf8h9sdt3S2iS1G5R0RlbX2ftUQ+dNUiv//cdvXnfibjNX11DcYYYx0TQohde/aeO+O0+av2Z+c0td6Xd/hwQ/P3OoMe+sGj4XC2WT0emflFQlF/XUBA0zREJST5FDf2Z+1XP7niRmxtaOj64A64hBAf1tZhX62922V0RWjA6rzyPmkYAYBJkUF+P58/ZcmwYP8vicjcV9dhjP0/e/cdH1WZ9QH8d+6dnt4LhIQWQuggTWliQ8WGva76uiu2VdFdy9p1dXVX3bW79q5rr6CoiCICAtIJvaYB6cnUe+95/5gJBkjIJJnJpJzv58OLmXvv8zwT3p3zzHmaiBRJAAkhIoKZf3vrvfcHDx175LtXXH1d5bgpx64ZN/mYr/KGH/HG2vXr6+rvm3jkkfjhpwWoq6szAGDNuvVq75xsLP51KS9ctJh/XrSYa2trUVFZGVRn1zAMXvTt94axZh3iqpz4+YsfWv05WPr0/5C2c09rHw+Kqhu0aM6CsHV2AeDyEyfbP7jnz08mx8XcH9Ru10IIIUKKmevWb9hw0qijJt9+3h8u337q2eeXjpk09ac++cPue+Dhf+1PCg0aPR5b7ZkoragGACxev4UH9sqkTYWl/Mu6zbxw7SZevH4L1i9ZGPRn+eqVq4xFc75VWdOxrqb1s2vm1NZRrcsAIbxhZOnqYt0I4wqt3rEOxw+njzt6XFr8QiJKCltFQggRAbIHkBCiQyEiOvboKavnfvHJoFULf+SyLesJMUnghFQoioIpEycc8kxdXZ2+as06dfzYw2+arOs6f37tjejxzbz9vVO31YzRz/0N5hbOIJr/41LEvPBJi55prbpYh37kE7cqaphOQam3ausu51n3PPHJ1uI9lzKzr/knhBBChJvDbr9x46plD0YxLF9cPlMxpyQj46wT4SrejiPzcowom/WQgYyfthRj7IyLDHtU9GEHOb784GP+4v9uBGv6/vgyNN6G0TZbi9q4T9eNz8pqiI0wZ38Czj8ln4/q2bKl3y3l1nTvBXN/2/P59j1TmHlLOOsSQoj2IjOAhBAdCjPzt/N+uPnZR/6O/tpeTOqbjhybzlMmTmg0+QMAUVFR6uhRI3jrtm1NLufSdZ0/v+aGA5I/AGAymA+zFVGjapwu8Pvftu1YkxaIqnaq5dU1Ya9vaJ8sx4///tsZo/rnzCOi2HDXJ4QQonkut/u5v/7lNtviyScoeVu2o++ipYirLMJxwwegseQPAEzsm4FFn7532H7+F+9/xF9cfsMByR8A0FoxOPxDrVNpr+QPAGzbVxv2umwm1fLBtFGZMwf1WkZEY8NdnxBCtAeZASSE6HCIiKaPH2HcdfHpGNk/BwCwfK+Th514JlssliY7tCtWrUaPzEw9JTnpgM0b9yd/5v7QaIexMD8bU66/iGMc9kOuOz1ednu8WLlsLdVs2gnbpl0w+TSOL6tut45uSe8MHHPHn9hqMbdLnXUuj+ese5/YOXfZminMXNQedQohhGiaQ1H+91xi6tnZqklzKIqpLtahJ8+6iAb27dVkTHR6vMZWSwoNO2rKIbHji/c/4i//70awbhxyjRQ2joqPUgZYLIeU6WNmAmiFx4N9mo4Stw8MwNAYaKf8Dyngq88aTgOTYtqlPgD4x/LNznuWbDxfM/izdqtUCCHCQBJAQogO6ZiRg/ibR2454LWle518xPRzSFWbPpzD4/EYi5YsVYYPHaLHxcWqmqbxF1dfjx7f/XjYnmnhwGz0O/cEDOzbC3srqnjTph1U+dXPRurWIkWzqIbFo0VsxmRdtN2Y+Ozf2rV+Tde1yx55oeKd7385mpnXtmfdQgghDmQiuv+LlMw7khrEP2eMXe915x+VXhmph41vv20v5qgBI3ngqDEKAHz23geY/cebuLHkTz0GY1yiA/3NFjYDtEXzYVmdG06PYTAY4NCe8NVSF546yBjfI7Fd2/D2xkLX1fPX/KXWpz3dnvUKIUQoSQJICNHhEJHprotPd991yRmHZHq2V7lgGzqRe/TocdgOb12d0/h12TKl4vW30XPegqDrrkyO01WPT42pcTZ/cxuscLk1/5ouRuBTmBgAs3/6/T7dUOsMg3WADGZMuOIMnHn61LC26WDMzLe+8F7to+/PPoWZ57dr5UIIIfbLN1s+fy05ffrBrzujbbrzlInq8SdNbraMX7cW8nanmX646X4gyKXPRDBIARl6eKf31MHQfTjgS8n++hiABqiaP1oyA5SdEYvHThuJ9j634MeiMucF3/z2XKnL+xdmbrel4EIIESot2/VUCCHaR2ZOeooXwCFHsCbZLewMoscXFeVQpkyaiNnrCoAWJIDi91U1Pb0oRJgZy6rcwXz+7n+f33+5oN0TQERED//pvJheqUmzLWbT/3l92jvt2gAhhBAAgFTVlNPY645at+oMcjLO6D49KHZ7If8c4zB8VXVBxTpmKKwH387WqoGhpgf3tYQAoKakDlVuH8fbLe2aAZqUmeT49rRxM2fMXpZDROczs7c96xdCiLaSTaCFEB0GEQ0nojybxXzmCaOHNDqyFmNRqXL5fPy2bBk8Hk+zo28nzvwj9t50begbG4Ra3dDXuT3aRrdX2+71aju9Pm2b16tt8flaPPXSVV4TjiYG5ZrTj7O/e+e1LyXERN0mx8QLIUT7IKJYIjqRiHqMsFj7N3Wf/Yuf9Nkfz0V5VfOHBQzI6UFX/vM6Msc62iGtc6gaGFoNDK0OhuYM/KmDoSv+SbBBUxm8vaIuIvEoLyHa8cPp404cnRr3ExHFR6INQgjRWrIETAjRIRBR1MnjhldlpyWrsQ67/sDlZzU7Orl4jxNHnn5+UOV/+eQzSP33s21uZ0vMrqk1iupCt3fQERcdj8v+cGqoimuxpRu2Os++98m3du0tv4q5PcaEhRCi+0pVTS9dFRN3+ft1NfqLSWmGmch8uPvddgvn/WuWkRgb3Wz8XL91l/HcX55krdoZ9lmvDWlgmEK0mkyLNeOp88bApEZmPNvp0z3nfL2s6Otd+yYz866INEIIIVpIZgAJITqKk/7vxMnqE9dejGCSPwDQy6EGncE++bqrseeGq1rfuiD5DIPrDMNwGQbrHNrP2B8//iGUxbXYEQP6OOY99rcLB+X0+IqIHBFtjBBCdGFEZBljsV4+zeYwXktOV5tL/gCAzeWlXbtLg4o7A/tkKVf+8zoytcNMIA1s6GDW/Xv4hGzfHFO1D5vLakNVXIs5zKr1k5NG97o4t8dvRDQ0Yg0RQogWkASQEKKj+PzKx19u0QMOs8nYvGlTi5JApdf9qcUNC9Y2r1d/fk8lv7unWnl7TzWVOrWQlm+p8+jPPPu/kJbZUjnpyY75j98xaeKQAYuIKCWijRFCiC6Kmb1fuZ3vLPd6WjRdpmjj9qDvz++Tpfzx4WvJFG0Py2bGDEYJNDaBFBVEKggmhPb0sP/MXYdIrmYwKaS+fMywpFtH9l1oUpRjI9YQIYQIkiSAhBAdAjO7jxqU26JOaJxVVXevW0m/LloU9DPTb7gOpVdf0eL2NWer14svymtVO5Swfa6aQOrSeUvDVXzQ4qMdtjkP/yXv9KNGrSCivpFujxBCdEUmYOcQs6VF2Q1jeQG++XI+jCCTIoP79VL+75FroEbZQpoEYjBKoSMdprDu00PVXuypdUd8P4v7xw6IenLSoM9sJvWSSLdFCCEORxJAQogOY0nBlrda+szEFDP6OAuNbdu2Bd0BnH7T9diXPyBk096rembqQ2d/hJxjJ4X9SFhTRZ3x28oNEe/sWs1m8//uujb9ipOmLCWiUZFujxBCdDU+4Ju1Pq+7Jc9kbCtG8rtzMffL+UE/M7R/jjLmouND9p2ATCpP+++/cN6/HwxVkU1SQHjxly0d4nCCP+b3sr93/MhnE6xmOTBBCNFhSQJICNFhFJVVfru5sLSupc/F20yKUbCEy8srgk7AcAj6ZqXDhxiF00/AsPffpIGDB0G1WcPe4TODlCdufZpvuv6RcFfVLEVRlOduvCz+7kvO+NGkqidHuj1CCNHFLFjkdbdqv7XED743Fv26OvjBghDERFt2Dz3rrJMw4+3n6IwLz0NsYkK7DFbs2lKuX/7yAlS6vGEfhGnOyTmpjq9OGXNHr2jbC0QU1Ln2QgjRnuSDSQjRkSz9Zd0mS78eaS1+MCfOpmxd/I1B4443EhISmk1uUwv3DKjK6qknPHCnarKYdQKgms2YPmJ4/WbVCgBccP/f8IbPhz1f/9ji9reEQzOUqj0V0Hw6TOZ2PcClUXdefLqjd0bK+9F22821LvczkW6PEEJ0BczsnWyzbwXQp6XPqrqh4JkPjMXXEMYeMbj57E4r9tGZ9sK/0KNPjl4/2SVvUD5FR0fvv37kMVOMsn/crv58a3hnAplAqu419G3ldeqIHpaw1hWM0anxjh9OH3/+aV8t7U1EpzJziwe2hBAiXGQGkBCiI9m2pWhPsyedNKVPnE3Z+8vXqKqqDvmpJr5oB0ZNOBLDxoxWh44ZrQ76PfmzX//c/hSVktwuI57WfTV46B8vtUdVQbno2KPsnz0w658ZSfGPEYV2k08hhOiuSnR9e2ufVTVdUZ5+n3/9bV1Y4tKwcWO00ePGqkeMHaMeMXaMGh0dfcBnf3x8vJqTP7BdZuVYmdQnZq9pj6qCkhVjd/xwxrgjp2Qm/kpELR/VEkKIMJFOuhCiI/HOX1mwx+XxeltbQN94u7Ji8c+qx+PhVStXYuWK3/Zf27RpE35buAhfnHmBnliwqUWff4oe3PAoqe03I+eEE4+K+HT3hiYPy3N896/b/pTbM/1DIrJGuj1CCNHZ7TP0X9Z4Pa2OiaqmK/s+ngdN11FZW4d53y9CncujA8COoj0oq6rB3+99Dkvf/a7FAyeG0XwIUtT2+6qRmhLVbnUFI9Zitn01fUy/s/qmrySiAZFujxBCAJIAEkJ0IMys/7R6w6ArHn2pTdOlY90V2DL3I+pZvkUf7NyJHz7/GABQtqcUW7/6GGkrVquKYbRowwNG8/mfj996F3uXr2pdo1th/fqt7VZXsAZkZUTNf/xvJ4we0OdHIkqIdHuEEKIzKzeMO2+u3PdBjWG0OgkUU1JOXz79Llb95XHEvfIFfrr/eaXW6TaSE2J5/r9eQ9GCNfBV1bV49KK549fXr13HP7z6drt916isafWvKGzMqmJ+67gRqX8emvMrEU2IdHuEEEISQEKIDoWZ9703b9Hk/MtumT17yUpXa8oYmhyFAYkOxFn903EmJin44fOPMWrMWIwfOwj70pPCMh1+9ZffGDWrN7TbyR8L5y5WmuuAR0JKfKz9u0dvG37imKHLiahXpNsjhBCdFTNzuWH8afreon8+U1Pp0ph9LS3D4fIg69f1iK71HyiWumsP/Xz/89ANg0wJsUh0tG7manMHXe3YtAW73v+yVWW3hlHjNXZXOTvUzFgAUIjo0aPyY/555MCvLapydqTbI4To3iQBJITocJh59YZdxSedfufjFz71ydwWHYHblIlJCvbN/0RPjIuGN9bR4iSNLy662c9LRWnfj1RTcSWe++8H7VpnsBxWi+WT+2/M+sPxE34jouGRbo8QQnRWzFznNIw7Xq2rGXBzxb4SXyuSQAdL2b1XWT3rMSNt7VYj3tTyBBCZTeyIOnwsbe+T0K0g5Z5PVnTY7zY3DOvteOu4Ea/FWc1/iXRbhBDdl5wCJoTosDTd+NhiNl3av0f6yyeMHtKqo3AbSnVY1F0le43Mjbta1EEs69fXOOrpfzd7n8/pbveOZ3S0gwG0by87SKqiqC/95Y+JPVOSFphU9QxN1+dGuk1CCNFZMfMuIhr3UHX5qrvikpLaWp49ELN2ulqWT1JsVuPsd56jjIyMw2aO3C5Xu8cmUzvuOdQaZ/RJt2dGWe/Jirb33l3nvpaZO9yMJSFE19axPyWFEN2e16e9d/tL//uZQ7TWKSs9RSmcNg6uaHtQG17uGTzQOPL915GYlNTs56Vrz76Qnz7WnFXL1nfI5E9D9146I+qZ6//wqc1ivjTSbRFCiM6MmYu+cjmv3ujz1oaqzCHRVqhBDgmboh3GxZ+8Rkcff2yzsaeydE9bm9Zi3jovGx1waXRDY9MSHN+dNvYPAxOiPyMiW6TbI4ToXiQBJITo8FZu2Xnrs5+1/ISSppxy4XRUHTNaNRTlsL3EklHDeOo7ryE2Njaoz8r2nu4OAPs27e4Uo4f/d9IU+8f33fB0SnzsAxSJX5QQQnQRBvDRYzWV+0JV3kirDRPiHCDl8LNRzAlx+v99+Q6Nn3hUUJ/hkfiodxhEq4or2n0wpqX6xEU5fjh93NSj0hMWEVFypNsjhOg+JAEkhOjwmHn5fz76+ql7XvvI49P0Nu99AAAnnXU89D+fS/sykhrt8BZNHM8nvPky2x32oD8nqZ33AAIAh1tTPvvix4493Blw/BFDHHP/ecuNfTJS3yIic6TbI4QQnREza8u9nkvvrSor36X52nRqZr1+ZgtOSYqhKFvjccySnqxf8837NOKIkUFndSIREwHglQVbWrerdTtLtFnsX586ZuCpOWm/EVGfSLdHCNE9SAJICNEpbC4svfGBNz8d8MKX80KW7Bg7ahBG3v5/vGvUANTEx+wfMSw8/mg++cVnYLFYWvYZGaGJLQvm/dppZtQM6Z3lmP/4304f0S/7OyKKiXR7hBCiM2Lm+V+6nCkPV1dsDlWZKaqJzo2LQXq0CSYz6YB/LZUtK0O/ce5HlJc/sEUxMVKTPWsrXEZHPCGzMVZVtbw/bWTmH/OzlhHR6Ei3RwjR9UkCSAjRaTDzjp9Wb6gOZZnJ8bHqaTdcjHGPzlLLUuNReMo0nPr0v2EymVrcczV8IZmc1GLVq7bC44lM3a2RkRRvn/fY7WOOHTloGRFlRro9QgjRGTGzsdLrnesJwalg9YgIJ0dH4w9JcWpKlInsfXrxzXM/ot59erf4O4MeoZhoN0h5duGmzpEBAqAQKc9MHhJ/35jcH0wKnRLp9gghujZJAAkhOpWFazd96vVpIV/fb7WY0eu68zn2iFy0YY+aiHU4a2rrOk1nFwAsClnun35M/2OyehQS0eBIt0cIITojD/iTJR53WPa8OTYqyhhsARn79nWq+AIALq/eaWbG1jspM9l+Re/Mz0xEj0S6LUKIrkuOgRdCdCqF+yruOuGWRyZ/88gtOWZTsOeWBGdATg/K8fm4uryc44I49auj8MVHITkpPqydXTYMuOrc7HG5DVedk91ONzwuDzwuN7xuD/ncHnhdXvJ5PPA43aS5PdBcXjI8XugeL+D1AT6NyatB1XU2+zTK1hgPMuEJR8xCIjqFmeeH8z0IIUQXtPDh6orXExXlokEWqyOUBTsURRlaWY1lr7+t9hoxvOUFRHC//0vHhHdLHWaGW9O51qNxrVfjOq/GTq8Op0+D06uT26fD5dPJo+lwejVyenW4fTp5fDo8mg6fZsCnGdA1g3WdmQ0DJo9BZhBOgv0aBymqC/wXOSZeCBFqkgASQnQqzFxEREdf/NCzy56adUWyzWyCRVVIAZFJbXtn06ya6Nd5s2nyWRe1vG1hmFVJBAOBjRgI/v9DABPV76/AiLGZTBtWFPC2lRuopngfDE0DNB2GYQC6AR2AEvhv6DpYN0CGweT/G4pusKobrBgM1TBgYrCJmcwMmAEyA2T2V0YADtlc0xT4Yw/i7Rz0N4gI18fGx2So6mwz0RU+5rfb+CsTQohug5mZiGbeU1We+GBS8qlZZrNJZUA1WFEQmgSMZ+48aB4PTFZrSMprCx3MOmAQQByIjQb8WRL/HwYDpvV7qlDh9GH5rjJougFNZ+gGwzAYrACGzmBm6HrgNWY2AtcNg5kN9hfMDGIwmKEwiBhQAVIAhbA/LraK4v9D5v1l+P/KhMlxKuxXzoGrDxGdx8yetv7ehBCiHnWWTdKEEKIhIup943XXbH3sH3/f/5phGPBpGuu6zrquQ9M01jUNuq6j/mfDMMCGAYOZDN2fJDEMY//zhqHDMFjd+MwLsNXUGmD2d/EMZjAICjFpOmD4kyfEDFYUAIyqdRuJXE729wiJFarv4JH/bwIp/msgoP41KL//TBT4WQXIFKIdNPfqmpaimjp8wv9Ht8t1b1XZ32uYH2QJTkIIETQiouwYe1HBBZPTTQ1O3/IZBmsGs24wdGbWDIZmGNB5/2tg9oc43WB/bIR/hkv96wazssRjoSKnRSdSKLA3NAxdh6IqbAQGFlj3x1dSFJBCqCgsVip27jaAwMBFIMFBDf4Efqbf/5saXqcG95MCEIUgqVUIDT06wRi4C4ZrNlyr98I4gZkrI90eIUTX0PE//YQQohHMvG36iSesBjCk/jVFUWC1WNo0Ildv74ZNWtzu4hZ9RqYAgNnS1qpDqsYw2EzUKY7EnWSz259SU2+7pWJfHyL6EzOHZV8LIYToagIzgR6o9mr/TLRZ9k/INCsKmUMwFWjJki3Yt6yoxbEkHmqHiz8drkFNsEOxnwrH8G/g+o2IJjPzzki3SQjR+XWaPS6EEOJg38//6dkVq1aH5ZiRSB1fG2oKwDs0rdO8mYFmS9R/k1LP62syzyGikO5nIYQQXdxn/1qx1RyOgjtNEOliTCDLNNizcmH6jYiGR7o9QojOTxJAQohOy+VyvXLaOee/f8/fH9LXF2yoDWnhXWQFUpSiKLHUuT7q01WT44XE1AkjzNYlRJQa6fYIIURnwMy7nl+78+qL5v5W8fXOvU4jhBsId42I6NfZdlVWQOrRsCeOhGWBQnRcpNsjhOjcZA8gIUSnR0RJUQ7HTct+nn/9gNz+IZk18uWTz0CvrILj23l63O7izjJjvFHbNJ/R22TuXFkgAD5m352VZWXfe1xTmHlDpNsjhBCdARGZAEy6e3T/L+44on8Q+/M378ed+7C2sBJ7K5zYs6MqFEVGTBE0ZHbSXTDWw+taCM+ffcwvRrotQojOSRJAQogugYjUY6ZMXvXtl5/mh7Lczy76PyPjlyWdLnnS0FqvB4MskT+9pTWYmR+tqaz5n7P2RGZeGOn2CCFEZ2E3qTevv2DyvT2j7SFbTvvphiKe+/2WTr0irAQa0jtpAggAdkNzfgf3v93gO+TABCFES3XqLzVCCFGPmfXvfph/5XMvvuwKZbl6anKn/5w0OvHsfSKim2MTYq+LjpurEp0S6fYIIURn4daNZ678YXWJHsKlYElR1k6d/AEABdTZVoEdoCdMjlNgvyEG9FpgtpcQQgSt03+xEUKIesy84M833/Kn9z74yBOqMk955O8onHxUqIqLiE7d0w24ODrWcXdc4nsORbku0m0RQojOgJmd3+zad/RFc38rM0I0UWRCzyQcN7UvQJ12XKFLbGidCNVxKhxnJkL5hohiIt0eIUTnIUvAhBBdTlJi4mWjR428e8qkCdnXXz3TY7fb27T+yePx4JtzLobF49GiSvaStaamU+0JtMrr4aGWzj9qCwArvB7n7ZX7XtxnGDdyCEe1hRCiqyKigSNTYp89ukfy5PP6ZzqHJ8e2eUnY84s3Y/uOCk3zGeSq9naqmLgXupECtUsMgnvBnq/h2l4EfSozF0W6PUKIjk8SQEKILon857in3HHLX3bcf9ffbKEq95O//o17fPhZp0qmrPB6MLyT7gHUmN2a5ry5cu/8rZp2JjOHdMmfEEJ0VURkGpwY/dlv5046MVRlLi4q5zc+XdupYuI+6EZyF0kAAYAB1ubBXbkZ2tHMvCbS7RFCdGxd5sNPCCEaYr89X8yesyWkmyQqChlK5/roDNXU/46ip8nk+G9i2tHDzZZFRJQc6fYIIURnwMzamvLaL1aXVYdsmbRKZHS2bxNqJ94XrzEKyHQM7MnDYflFIZoa6fYIITq2TvaRLYQQwSMixWKxDKqqqvKFqszT/3E/4j95p1N1HjtVY4MUqyi2pxJTB0622lcQUZ9It0cIITqDRKv5pFKnN2RTQo/ISFCfunIiohJtWqjKDDfqmmERY2GNngDrFyaiiyLdFiFExyUJICFEV3biYw8/6IqPj7eEslBVUfRQlhdunWpufgtYiMwPxydlzLBHLSOicZFujxBCdGREZDunX8bkY7NCP3GSgU6zD5DSZaMikA+L/TjYn7eRcm9gKbwQQhxAjg4UQnRlWZnp6SEvtHduf8Uxf7bGDKz9bp4p4f5HQl5HKHXJoc4AhUi5NS4xPlM1facSXagzfxLpNgkhRAcVlWq3hmVDuJtPGWp4dYM1ZvXRd5eB9Y6bZenqo9/Z/mPib/4arj5EdBkzd5rZWUKI8Ovqn4FCiO7tpTPOu3DpqjVr60JZqKqqSmbPnqYeWT1NUWmpHf4kqg7bCw+hS6JjHffFJb7tUJRrIt0WIYToiJi57NEVW69/fs0OtxHiUxRTHVa1Z4zdlBProI4edbrDl58kqI7T4JiRCGUuEUVHuj1CiI5DTgETQnRpRKSYTabLZpx+6oslpaVl991xu33ShKPafARuvYrycn331m1gZtVz3mWhKjaklnvcGGkN2UFoHdpyr9v5t8qy58oM4y9yTLwQQhyKiIaMTYv/xWFSo6b1SnFfNyRHMatKyJZKLymuMKItJuWdnzZxRXFdh8sGucG6DdRplqy1hRfsngPXtmLoRzNzaaTbI4SIPEkACSG6BSKyANAURfnL+t+W/C23X7+Y5p7RNB11dbUcFxfXbAe2uLBI3z3phA7ZoVzudWOkpXskgABgk8/rvLCs9FpmfiXSbRFCiI6IiBT49+3JvWVk36UPjB0QVJDY5/Ii2R5cruiOj5frlSV1HS4uesG6pZskgABAB2ufw7m0hPXxkW6LECLyusMsSCGEADN7mdkwDOOzgg2bmr1/165dxpav30fd4q8xf86X8Pl8h82WR8fEoOahu1F05OiQtTlUqJvl+XNMZosK9Ih0O4QQoqNiZoOZfcy8dleNq6S5+zXDMD5bshXb5xTgs8VbUFzrbjayTBneUx05pmdoGixaTQWZYqBkRrodQoiOQTaBFkJ0N3Hx8XGHXRqk6zqKly2gUakOAKA0aCid/4mxs1ZTldReGHPkUYc8ExMbo0495yzM9XiAhb+GqemtxujomzKEkJnIFEVKUqTbIYQQnYHDrEY1d8+PW/coWYV1AAhZRU7sKtnMK6NMUHvG0rg+qXqMxXTIjJpje6fC2VPj5Ut2d6j4o3SjeFjPAmp21rMQonuQBJAQoltRFGVS/759ogCgqKhIr6qsRO8+fchmsyk/fPUZ+pncnOIwY1Sq44AOYprDoqY5LAD2Yf4n/0Pu2IlGRkbGobMoSelwyRa1G54EayUaSEQ2ZnZHui1CCNFREVHSg+MGpABAnU8ztlbUcVq0DakOq7qipBJFa0uQWu1DwkHPmQ1W0mp8wPoyLNxdpSQOTOPRPRIPCTZE1PFiYjdcAaECNiLqz8zNT4EWQnRpkgASQnQreVkZ129Z9IOpwgxjQIJdTQOw56e1elF8NufkD6XU3StIVQ7fV52QaoW+ZTGtW+7RXZqhWHsPwuChQwkAqJlnI6Hb9XQBvJGUNvlP5XteBHBRpNsihBAd2GnR5W589V0Bkmp9sBhQd4F5Se84TBuahZI1xUZzCZPUGo2wpBDf24t1n1mF2jNWndA3zbCZVEWhjpX8AQACgcHogE0Lm3GwWjzgJUSUxcy1kW6PECJyuuP3AiFEN3bEgN6Z41PtGJBg3//5lxplUYd6i2jHhnXwGsGdHKUqRAMSbOrwFAcNrN1G8z99v36fIPKZVBgdaNaN4l8C1q0kqqrteJtjBhHJBhRCCNGEOFLGHFGlI6PaB4vh/16ggKjHtmrM+WkTvDZT0N8VElyGmlrtU5PWleGn7zdgV7XL0A0QgwF0rFNndKBbnRKpgNRRsJoIuCTSbRFCRJacAiaE6FYURXlozj/+csMxIweF/Fgsp083LCop63cUwl1Zgz2bd8HYvAs91m0PdVUtUuD1GnkWS7dL+GvMvvuqyqvmuJ3nMfN3kW6PEEJ0NEQ07mSbY8Hd8UkhPxVLJ7BBwBq3m3qpZix2uaAxY2+dHuqqWswLNiygbhcXN8Hn+gnuf/mAe5k58v8QQoh2JwkgIUS3c8nxE0pf+eufUsNV/pptu/XBvXuqAGAYBmbf9zwythQ2eX+1Yeg6AQYzdPg7zAyQAf8QpU6ATiCDACYigwAQgRUiIgJUgqISSFFABCiqAlUlNqkqiEDV2yuQZw7u2N6u6L81VfqLddUDmHlLpNsihBAdjYXowR/Tet6iUngSIr953TzCYts/LfZ7pxPbqr1N3u8DswY2GAAHpg4x6qfs8P7YaAQOuWT4ZxkFvtE0evAlAVzfAA+YsmAylG6YAAKAShieD1F3r4/5oUi3RQjR/mQPICFEt0JESY/OvODg/SxDinl/PxOKomDKLZcZmm5wfcKdiLBpy061aPFq1FVX4/SeNtVmCfnH8f42/LJ7pYFuvOT30uhYfttZcxuAKyLdFiGE6GiGWqxTwpX8AQ7dAXqS3W6MttkOyNMYYHVujRMMoMjlo2gooZ6RtL8ZxdDQXZM/ABAPxZoN0+1E9E9m1iLdHiFE+5IEkBCiuxk7on92WKc+GgfNrIyy2w7paB4xLA8YloeKmlpD+eZLQhhPSfEBHPL1bp2Ihcg03R51GRHdzMyVkW6PEEJ0JD1V0/iwVsAHhjcTkRLTyD55Z8X5Typ/y6gy3B4OW4JG1j4AQ2ExbYV2LoC3It0WIUT76rbZbyFEt/Xtvz+Ysy+cFXAL1tYmxEQryyyx4WwOdOnt4hibg+JI+XOk2yGEEB3N127nI7WG4QpbBS0c3hjosHacUxS6qCQopiQojxGROdJtEUK0L0kACSG6FWb2OmzWDjXlOW7gwLCmaDSSzd5GWKx0flTMrUQUtr2fhBCiU2LUmggh3wS6tYZbrKSokA2Kw0gFmU6APZqA/4t0W4QQ7UsSQEKIboWIhs2YODo50u1oaFC/HGUTzGHr7HaobFcEDTVbfACyI90OIYToKIiIJthsf7SREr6TAlo4BKEQIdNhDltCqtuPiAREQ3HYQIMi3Q4hRPuSBJAQoluxmNTpJ40dZg1nHcwt389nT0avsHV2veg4I7uRFK8o6iSr7TuV6JJIt0UIITqInKOs9oyw1tCKBV1H2e06gY3QNyaMG+51Qj2gXhtNyutEFBPptggh2ockgIQQ3YpX0xdc9e9Xap777DuPputhmhzT8vHF0UcMM6qZwjILyGWW7i4A9DNbov6VkBLzz/jk57NM5jeJqDvvjS2EEABQ+rmrbtN/qis9lYYeln2AWhOBohVFjbGbwhK8VEkB7XcM7DgbUedkQF1JRHmRbo8QIvwkASSE6FaYef7r3yxIuPbJ10ec8rfHdoSnjpY/YzWblRUxKWGZqcONnLbSnU202W0vJabOmG53lNpIOSvS7RFCiEhhZucyjzv/LWdNypl7i18v1TVnqOugVi66Gu2whWW1lgKEZWZRZ2UFWU+BPWcMLKvjSXmNiOT7oRBdmBwDL4Tolph5PRFd8fGCpd9PHzfCqKipc63Zvot3lJaZal1uk0/TyaSqPGnoAJfNYkZer8ygj+riVnZ2c0cO0435c1Ul1PkalQi+EJfZySWoqv2uuCR7ilL1GhGtZOZNkW6TEEJECjPXENGsp2uqZtwXn+SoMQzXXkP3rfF6LBpAXmallg3TERZbbTQR9zSZrDZSglxO3bqglmM2K2Yz6T4fh3RwRJVtgA5BIBoBq6kXTGd9AdcqAI9Guk1CiPCgFpxWLIQQXQoRUVpC3D/2VdV4dMPYAmAjgB0AnAB8ABwARgBIGZ/f77ppY4aOuGHGNPJomm4zm8hhs1prXW53aUW1N8ZhU1PjY6MAYM323Tw4p2ererxLPv2CR+t1IU0Bvfvdegyolq2gG1NnGHzCnsI7PMwPRrotQggRaTZSTncodHyFYawCsBvASgBuAJ7A3+MAxCYpyqlTbY4LznZEU4ZqsjrZcCcoapTOrJcbusvD4AxVdahE6nKPGyOtrVtx+4vLxeuqPCGNibUwtGgoMgjehG/hKtnMvvDuCyWEiBhJAAkhRJCIKC0pNvqvXk2rU4jopLHDL/1xVcGcwn0VXwPodcnxE+48ZfyI+GNGDuJYh71VHdbf1m00hhf8FtLp158s3MTZpW5ZB3YQjVm7tnyvsdLnmaIx/xLp9gghRGdCRKqd6E82ouGVhrF8tMV6pZfZWOHz/geAN99s+evZjuiR2aoJgy2tO3tBZ+bX9lYabFDIZgH5wIYZssypMSvg4eXwPuxlvi3SbRFChIckgIQQIkSIyAzgj3+afvTDT1x7scOkqq3qYG7/8EM9m7SQdXbn/rbTSN5eJZ3dgzxSXeH6wFnbn5kLI90WIYToaoiIAAzJM5nffTghuXeGamrVNKAva2tRUhvaWawa2DBJEugAJdDdn8F5g8H8fKTbIoQIH/ngE0KIEGFmHzM/898v5g2d8Of7l27cXdyqzTR3pvYI6X4HNqucAt9QlaG7bqvYt/cjZ+2ZkvwRQojwYL9VBZpvyNXle15+r66mVaeMHeWw66HetifkBXZyS+HxfQvXiwy8EOm2CCHCSxJAQggRYsy8benGbeMnXP/Avx9489MWb78cm5wc0vbs2Vcnn/UBC9wu97Xle3/+zuPK0ZlnR7o9QgjR1TGzvlvTrnm0pnL69eV7i9xseFryfCwpqqJAD1V73GDditAtKevMnDA8X8NVtAzeSbVsXMfMckKaEF2cbIAmhBBhEOhE/S3GYVdvOW/6zWaTGnRnM2ft8pCm5z01brT2FJbOzGCGB2y4GOwipqeqK53fuZznMfOXkW6bEEJ0N8z8PRGdsNDjXjTV5gh6U6CPa2phhHAPoFoYZEP3zP9oYEMDsw/g3dBMP8JzH4D/MHNdpNsmhGgfkgASQogwqnW5X/nPh3Nuufnckw97356KKr2sogqapik5ChghTAHFeAwdFHwCqqMpZV2vI0BTSNXNCsikQFEVqGYFFovKVouJbRYTHDYzR1nNHGM3I9ZhUWLtFoXo9z0eHvtk0RZ21knyRwghImft23U1UROsdsNCTe/B42U2tms+ZgZ5dCOks1i94E49K9YL1mthQAMUHUwHrWVjBYAKYgVgE8AqCGYQmQHFBFJMINgAeP33PyXJHyG6F0kACSFEGDHzhtSE2K9zMlKOPmvSGEtj9/y8+DeMKNxEKb93SkM2XWdPlVPPhNLpkj96YPaOhwFbbrIybUjPpn4nhCB+X5ur6nhLdd2u0LZSCCFESzAzE9Gpj1dXfnZjbLzP4j884QCFmmbMrayFroVnmo4FZKATboOhgQ0d4HLoakbTX+HooL+btBsaALRoOZ4QovOTU8CEEAIAEUU1NwpGRGMAWAH8xsy1LSx/6sXHHfXh0cPzHWdOPIKj7Darx6cZv37zHR3lqQzb+qxPFm5Gdmmr9t0Mio+ZvWDDx4APDC8BHoKiK2CDiFghsEpEqgLFpMBkVmE2K2wxmWAxq2yzmmC3mthhMXGU1QSH1UxRNpNiMamBA2TazqnpnjNnLyv5dve+IcxcE5JChRCiCyMiKwCDmZvcx46IegAYBKCAmXe2sPzUgSbLxyfaHeMmWG3OniZzNAAsdLm4oNrNzOE5ocsL1k2AoiBEAeYgBhg6YOgA62AYAGtgVQPYAAj+1w6YtUMAEwDFP2sHDWfuqCAyARTqE8tWwOtdDM8xzLwglOUKITo+SQAJIbo1Iuo7pE/W8kHZPWLnLlvzQll17VXMrAeWDlkB5AIoY+bdowf02XfnxacnfbN0dW1FrbNyxeYda9btKLwVgO+I3N5P7Cjdt2JvVc0dzOxuoi4LgP4xdtuF500dd/WRaQlxZ6pO3X7Q/kBuTff6DGaD2Yizmu2tfW+6YeCDL1Zzrq4QAFQYhl7qUFQoBFIVwOlDtMY6A7AzlCRFPaBD7GXmLTaioYMzNatZhcNigs2iksWskkVRyGRSSFU6/iDqP5Zvxp2LN06Ujq4QQhweEZnSFfWrkRbrcSt8ng1Fuj6NmbcHrjngj4t5zPyLjZS7b4tLuKfGMPTlXs8uF3Pdcq/7MS/wRoaqPusgJXmL5rudmdc1URcBSAUwbbzFdssEq21gcY0PUQdNztHBGgOGD6zZQHZqQ/KmBBrSG8yeKYZ2wHFgUVCYwQaBKA4HBjgDzHVg0sBsAumBpVakAqQE/lAn2G+vBobrf6j73Md8bqTbIoRof5IAEkJ0axaT6bKTxg1/edLQAVi3vRCvzPnxmrxemZckxUY7jh4+cEiPlETc9sL/Xiuvqb0cwMgnr7vk16tOPQaAfyr739/6lLYW78WLN/0f/vrfd/HvD7/uw8zbmqs3kAy6VAHiJmYmXnpBbo/81wp2Lyx3e3cVVNb9BsBtIrLfOyb3zr+O7Oto6fvy+DT+6vM1lNNg38wCM+P86UMbvb+yzsMen25YTAosJpUcVpMSqhk4kbar1oWBb89/x63pF0S6LUII0ZERUY98s2X3KIsVaYqKZ2urvopXFNVKxEdZ7dNMAHZoGr73uCwAlDEW6+anElN71j//q8ft/MxV57ggKgYaM64u33uzm41Hg6z7OABDHaDhY2C9aDu0oioYC2thbPQB5QCcmVCvPwn23iqo0SXVh1MEDRlQUZ+k8YCZALY0MrvGAMMD1hQQKQCp/llDLa2yw/ocThSy1nXekBAiaLIHkBCiW/Nq2isAXiGiLABOk6IMOn/quLG3XXDq/nuibdYLn/z4mz8sWr8lesHqDc4zJ42m5LgYu6brRmp8nLp2eyFOvO1fyxau3XRfMMkfAGBmL4D/AgARPTO/qHwUM/948H0mhTYMT459+/heKbbmyqxTzYZHNbOXTLxX95hSGoyibiadzzt5WJOdvfgoKwFd81iU3bVuHwHLI90OIYTo6Ji5EP7JOQkAHABqeytq2TOJKYotkCfZrWl1MYri/dRVN2GPrv+03uc9I9dkthBAsYpCZiK8Ulu9e5XP844H/HgL6p4LYC78DXgRwK/M7Gx4DxH970e4Nx4Ne2Jz5SkKWLWaDFUlJlVRLbUGkf57GGQA1iaWVikg2EFd9ntSHYwdkW6DECIyuuwHmxBCtAQz128Q/GOsw37jyeNGPDi0T5YdAHqlJXutZrMJAL/3w+L+7/2w+FSzSe2p64bHYP6cmVe0se46AIckfwBAM/jjkSlxi4/NSp7U3JScradfqYwYfyQAoCeAglPmGxtm/hlmn0/pNyITXWVGT0ul2C0et27si3Q7hBCis2DmCgAVAEBE/V6prV53VUy8HQDiFEV1+ONJ0nZd+8Mfyko/JGCQAqgMrDeA/zGz0cb65zfxeplCdP0w6M8mQo0+XBnZA5LppikD9w9s1Hk0/utHy4gqvSiGhvSuOeYRFAtod6TbIISIDFkCJoQQByEitVdq0pPnTBl71eptu1Z//9u6h32a/jZH6AOTiMZ9cuKob0/OSYtq6p7FaXk46i93HfK6q7LS+PDi85XzBiSEtY0d3bgPfv566Z7KaZFuhxBCdEY2Uk473u5418tc+5vX884eQ7+9pYchhAoRqf1g2n0M7OlN3WONseDq6YPRN/7QsPnQd2uxY2MZTF1oSVdLLYPHtxTeBDkCXojuRxJAQgjRBCKyMnOHOCL1tD7pmz6cNqpfY9eWJfXG2Nv+3uSz7uoq3nbLFdw/ytzxd2wOk/O/We7+YEuJI1JJPCGE6OzIf2S7wcx6pNtiIrrlYkTfbQUdclCCYiK+48LRSHVYm8zw/PWT5XAWd9/cxzb49G/gntrY0nMhRNfWbb8MCCFEczpK8oeI4gyDkxu7ZgBIPOOiw061t8XGUdx1d3GFV2vTlPzOqsarebdWO1t0RLEQQogDMbOvIyR/AMAMymc0ntAfNDSdDpf8AYB/nDYCbofabQcEiqGrCCzxE0J0L5IAEkKIjm/0nwb1iq//4fvd+/Dp1lI8sWobPnWa0D9vYLOf5Zn5Q1Rc/wCvqtO7XYeXwaZVZTXzZfaPEEJ0fkREWVAvsUFxAEAdDGMNvNgGHzYrGo7sk9psGQoRnjh/DMdnxYS9vR1RJQww8+pIt0MI0f4kASSEEB3f9zcuWPfyGV8tLf5+9z68sHYn/vTDqp/vWLTh6j99Mn/ph5985gumkJS+uap3zFRa7Oleo55u3fARIBteCiFEF8DMvAPaJR+jbmkBfN4t8ClL4SlbAM+H89n90KOrtsIIYhNqh8WknHdEjq4kWeFFx5jZ1F4YKIl0G4QQkSF7AAkhRCdBRCqAEwHsbnjyWHR09LUfv/vmw8dNPdoRbFnzH/s7jipaG4ZWdjz73F6tzxvfP+D06fdGui1CCCFCh4gGABjGzP9r8Fr/P+X3+vWpSYNiKcjjL1cWVRpPf7oKliaOhe9qZsNZtoO1RpeWCyG6NjkGXgghOonA3gtfHPx6bW3tUzEx0Z5bZt3w7xuvu8YR5Wg+D8SF29FdDkD55/Ithksz3o10O4QQQoQWM28AsOGg1zYR0fjdde7Zjx01MLtvXJMHaO63rby22yR/9kF3FUJ/LNLtEEJEhswAEkKILoKI+sfGxPw084rLYx68726bqiiNdmbXfv2F0f+btxQluIHRTu3L7aXOGXOW/Z9usCSAhBCiGyEiW4xZfT03Pvr0L6eP1pNsFltj97l9Gl/98i/sMLr+1hga2Pse6r6pBc9g5qCWjwshupYu/0EnhBDdBTNvqqquTn/k8f+MPvWsc0u379zZ6Bm3/MlrXTb5ozOjxqcbxS6fvqnOi3+v3V0tyR8hhOh+mNld7dXOWba3KnHsBz9/8vm2Undj9z00dy115eSPBhgehXSnxYTN0RZLLfh6Sf4I0X3JEjAhhOhimHkdEWUfPW36Kwu/nzsjIz3N3vB6wY5ybHK5AGZMGZqFGEvHCQVe3WCnbhhOnanGAHtJgZdU8qkm0lUz6VYbYHOArDaY7A62JCSyPSGJ7QlJHJWYhIyBg01WRVE+eeMtvPLGW/h59977I/2ehBBCRA4z1wI436TQ9OenDP3fH/J6HhATDZVQBA0AYAUhCWokmtkoAwydSNcVgmE2EVnMTGYzqTYbqXYbLNEOssXEwB4bA1u0g+NSk5GUnsaJaamcnJ7GfYcMUuOTk5QNGzfhxltvx6ZVaxZzDW+N9PsSQkROx+n1CyFEN9E3M/W3rcV7b2Hmb5q6J9Fm+eOxPZMfXFBc/l6x0/MQMxe2pA5m9hHR5WddePGQ++78W79jpkx2VFdX6799/4OStaUciqYRABTsXs/FyTZk90+hYWnxhy3Tqxvs1nTDoxtwazp7dQMe3SBNN+DRdPJqBvk0HT6fQZqmQ9cMsMEgAMrQIUjo04fNjig2OaJhiY5mW3wCO2ITYI2NRVRCgmKNiVMcJhM5EHTvm9DETkb9+/ap++nnhacx83ct+LUJIYRoZ2aiO3qqpr7bNN9lTd1DRL0zof6gg3eVwvgrMy9saT2awV/EWEz3aAbff17/DI4ym6zLSyoNrdqLTJj2zwCqgK67wGpmM1+TDDDrQOAPwwBQ/7cBkAGAwWQAdPCGG9EZaRg8eQKiE+I4KjaWo+NjEZeUxAkpyRyTmIDElCRKSE1RrHY7oWUxseHf+/Xv15e3bNn2TmFR0YVBliWE6KIkASSEEO1sR+m+BwCsO9w9tT6tZnRqXPK5/TOu+XVP1TVDk2Jnry6veYSZfwi2Hmb2EtHYY08+bdJF553zzjlDhiamP/n8AfeYGJS11w1P2W7jZ3U3qzoTEzExK7pKhklnUhhk4v3JlkY7oiYcPqDUXnUCTzx7RpMJm1Ar2bNHAdDoEjghhBAdhwa8t1PXcpu5rcYG6jUAll7VMH7OItPaQuj/ZeB5ZvYEW1eNV3uEiD5/bOXWf/138pCT3vl07SFLvxKgqgkAXDB09feQRQYABWAFIBVQFBApAJn9l4NtAgAgfdgQ4/aXnlJwmIGMUHI6XV6P1yMxUQghCSAhhGhvmm582Nw9Xt14l4iWEHDrpoumXPzA2AEn3vLL+hOJKIeZdwRbFzO7AXxDRGe6flgw70ZWvBYiy8H3mQ1WzMb+p/x/GRyyefA+p7NdNx3yen32wfn5NwE4uz3rFUII0TLMvAnApmbu2UdE8VuhHTsKlg9OhmPQXuiPfwJnNIAHW1jfeiI6/ZI5y2vGwaQmQG30+5AdStjWgvnqnOEqulHlFRW+/Ly8s4noPmbe3a6VCyE6lC674ZkQQnR2zLyVgV8oMHv872MH6Cdnp/5GRImtKOuHD0uKMi8rK124V9fat+cJwFdd3a71XXDOWRg5YthZRF10t2shhOhmmLkKwOz6n1OgKhNhvVshOrUVZfl2erxRH8N5xyb4XCFtaBC8lVVG83eFTq+sntF/vnpmPIDR7VmvEKLjkQSQEEJ0bJ9c9v3KjX9duN5z76+btPP6ZyYAmNiagpi5eJPmO+6Gin1L3GwEPWU+FPSq9k0AAUCfnBwg+L0ThBBCdHDM7NwI36ML4fYsgLs2CoolHsoVrSxL9zI/PB/ua3ajfQdGfJXtHxOHDBpYCyC63SsWQnQosgRMCCFCIC0h7phpY4Z+9u2yNR8VlVXew8xbQlEuM1cAGA4ARBQPf/LnqzaUpxHRGfdVlRc8GJ+cFoo2BsOoqWW00/4/9WrrajUAenvWKYQQAiAi61iLdZ2X4frN57mVmb8IVdnVbNwM4GYiorXwHQ9gZVvK05hfiSHlqDMRdYENZG/+ibbzVVa3+yB8tT8O17R3vUKIjkVmAAkhRAhYLeaLZk6f6tj0xr8uumDq+E1EFPJRNmauZObPmblNSQ1mrvzW7Trjvbqa9kuO1Lb/3pPffPv9z8x88OErQgghwm/YGKutzxOJKfkPxSd9rhKdFuoK2O9rZi5pa1m14OvmwlXOaJ+YYdQ62/072Fvv/i8GwPftXa8QomORGUBCCBECu/aU/XHCDfd/O7R31jk1LncVAG+k23Q4zPxLtKLcNtJivbu/2RIV7vrI5Wr3GUAD8wYcSUTDAawFYGFmOQFFCCHaATMvIaLR79bVXpGmqn0NYGek23Q4zOwiomOWwrtsNKxhj4nMDLfbbdhstnZLBI0eNVJXFOVyInoagBWAq60DSkKIzodkcFQIIbonIqJ8s+XnlxNTxypEYe2EFo0ZhdPeeTWcVRyidM8e90uvvWHbtbvQ1Ts72/by62++UbBx4x/atRFCCCE6DZXoijPh+Hci1LAngR7avVpPSIhv133qXn3zbcz9fl7N8KFDYn5csLD0i9lzBgaWmgshuglJAAkhRDdGRGMeT0j+/iirPaydXdfjD2HSqdPDWUWzHn3iKdz/0CNnV1ZVfRDRhgghhOiQiEjpD1PhVNjTw1lPj9OO5zvffimip1Tu2r277ogJR/9aumfP0ZFshxCifckeQEII0QGRX3t8Rv/6tcsZ9k0hdbcn4qMN1111JVss5hMj3Q4hhBAt1x4xkZmNHdBe08BhXcatdYCYmNWzZ9S044+dQkQRTUQJIdqXJICEEKID6hvr+GFarxSdiGLCWQ8z83du5yOVhh7WI3B9TmfEO5gWs5nGHDFqXKTbIYQQomWI6KQ8mHWF6Jxw1+UFnlgPX1jr0JzOiCeAAGDikeM9AHIi3Q4hRPuRBJAQQnRAW6qdL1/QPxN9Yh3Ph3t0zgfMWe4N72ik5nKFs/igOewOiXtCCNH5rNDB6A/Te0SUEc6KmLmoFHphOOvQne5wFh+0qKgo2QRaiG5GOsJCCNExvfnCul3bXzh6yPk2VbkhzEmgglVeT1jjgeH2hLP4oHw3b77r23k/vBTpdgghhGgZZi7aAe3WwbAgGcoH4Z4duwf6j+EsX3O6Iz4DqLKyyvXUc//dBGBXpNsihGg/kgASQogOiJn1hSXlN2gG8xcnj34wxWb5V7j2P2Bm3q5ppeEou57hiXwC6Oobb5pfXlHxr0i3QwghRMt5gafXw1d7MuxjM6EuIaKwbdRcA97kAYdt6qrhjvys2L//81/2hYsWH8XMWqTbIoRoP5IAEkKIDkpnfHbjgnVLJmYm2n44Y/zMfnGOj4jIFup6iGjSsXZHTqjLbchwtn9nt7ik1L2vrMy5bccO/W/33I+S0j0r270RQgghQoKZawvg+0sN2HsS7P36wLSCiAaFo65eUO+wACGPt/V0p7vd98XzeDzenbt315aVl/veeOc9fP7VHB+AsO7/J4ToeEyRboAQQojGMTMT0UXHfLroiycnDR5wRp/00x5fse1mAA+EuKrNv3rcGGK2INtkDnHRAS4XAwhbh1fTNL2ktNS5ees2Y936AtvmrVvpsy9nr9iydduLAJIBfMDMW8JVvxBCiPBj4IXZcI06CtbL+8CUtgf6GoQhttSCvy2GPj0DKhNCvwRbq60LawKImbmiotK1fedOX8GGjeaCjZssi5b8Wj73+3n/hH8CwHpm/jKcbRBCdEySABJCiA6MmTcT0fBR7/10lQF8DWBrGOooilWUlZdGxw4Lddn769C0Nnd2q2tq3Dt37fZs3LRJLdi4yb5z1+6qwqKinVu37SjYuGnTWk3XtwLYEvhTxswR32NBCCFE6DCzDuCPCtFXDNQBWBaOesph3LsHxvRMmMKSqDF8WptXYXi9Xq2ouMS1acsWXr9ho23b9h16UVFx4Y5duzat37BhTXV1zWb8HhN3BX53QohuThJAQgjRwTGzG8Dj4awjx2TO2K1p2Kb5MNXmCHn5pOvNzgDSdd3Ys3evc/PWbfradettW7ZtQ3FJacnuwqJtGzZuXFtSumc9/AmwLQB2MHPkNxYSQgjR7gzmj8NcxcA4ENbCiwEwGyaEeA8+wwjqtqqqKte2HTu96zdsNG3YuNFWWFRcVlhUvHPLtm0bNm/ZssYwuD7Bs42ZK0LaRiFElyQJICGEENii+dZ/5apLTVVVbNV8uCI6LrQVeDwEADU1te5dhYWeTZs3K+s3bHTs3l1YW1hcvGvb9h0bCjZuWuPxeOpHLDcD2CezeIQQQkTAyrXwIRYKvoNbOR62kC4FY02Hz+cDAK2ouMS5ddt2rN+wwbZ123YuLikt2rFr15aCDRvXlpWXF+D3WTw7ZcNmIURbkfSthRBCEFECgDgVeGy0xXbG4wnJukqktrQcndmoNAxnoa7p2zWfdZeuqXt1vXS33eotMZnm7dm7dyX8s3i2AtjOHL5TVoQQQojWICICMBxAVSxoy1TYkYYWh0QAgBfsqoHhrYKhVsKw14Ira2FUqL167Nq5e9dcw+D6mLgVQLkMfAghwklmAAkhhEBg6ngFEV3Vy2Q643DJHxcbnj267t6pacp2zWcvNvS6fbq+u0jXNm7XfKu9v49WbgVQIp1ZIYQQnUkgbv0GAEmkIhrU5DJmA6w7wc5qGEYlDGsVDHKCi2vBWyqgr/EAG3Hg8mVvu70RIYQ4iCSAhBBCNLRPBdz7dF0r1jV9m+az7NI18z5dLykx9C07NW39XkMvwO+jlduYWY6RFUII0SVp4LdV0Nnl0J2VgVk8deDqWhjba8AbKmGs5d8HPbZCli8LITowWQImhBDiAER0BoBoANvh79QWS2dWCCFEd0REeQCOBrCt/o/M4hFCdFaSABJCCCGEEEIIIYTo4kJ7pKEQQgghhBBCCCGE6HAkASSEEEIIIYQQQgjRxUkCSAghhBBCCCGEEKKLkwSQEEIIIYQQQgghRBcnCSAhhBBCCCGEEEKILk4SQEIIIYQQQgghhBBdnCSAhBBCCCGEEEIIIbo4SQAJIYQQQgghhBBCdHGSABJCCCGEEEIIIYTo4iQBJIQQQgghhBBCCNHFSQJICCGEEEIIIYQQoouTBJAQQgghhBBCCCFEFycJICGEEEIIIYQQQoguThJAQgghhBBCCCGEEF2cJICEEEIIIYQQQgghujhJAAkhhBBCCCGEEEJ0cZIAEkIIIYQQQgghhOjiJAEkhBBCCCGEEEII0cVJAkgIIYQQQgghhBCii5MEkBBCCCGEEEIIIUQXJwkgIYToQIiIiahfmMq+kIi+afDzUUS0iYhqieh0IppNRH8IQ73PEdGdoS5XCCE6i8DnbJ9m7plCRLvbq01tQUQ/ENEVYa4jJxATTWEq/3YierHBz2cQ0a7Av9UIIlpLRFPCUG9YYq0QQgRDEkBCiFYjou1E5CWi5INeXxHotOVEoE23E9G2QAduNxG91+DaIR3WQDvrAveXEdF3RHRuGNuXQUQvEVExEdUQUQER3UtEUeGqsx4zv8XMxzd46T4ATzFzNDN/wswnMvNrbamDiC4logUH1TuTme9vS7lCCNEZBOKiKxBT6v9kBj5nt0a4bR0uwUREuUT0PhHtI6IqIlpFRLOISA133cz8IDM37BP8C8C1gX+r35h5EDP/0JY6iOgeInrzoHrbHGuFEKK1JAEkhGirbQDOr/+BiIYAsEeiIYERtYsBHMvM0QCOAPBdEI8OC9w/AMCrAJ4iorvD0L5EAL/A//sZz8wxAI4DEA+gb6jrC0I2gLURqFcIIbqyUwJJhPo/Re3dgHDNmgklIuoLYDGAXQCGMHMcgLPhj90xEWiSxEQhRJcnCSAhRFu9AeCSBj//AcDrDW8gIisR/YuIdhJRaWBJkD1wLYGIviCivURUEfjvng2e/YGI7ieinwMzZr45eMZRA6MBfM3MWwCAmUuY+b+Bcv4OYCL8yZ1aInrq4IeZeR8zvwHgKgC3EVFS4Nm4BrN2ConoASJSA++rkogGN2hvSmD0N7WR9s0CUAPgImbeHqhzFzNfz8yrDr6ZiE4mot+IqDowLf2eBtdsRPRmYNZSJRH9SkRpgWuXEtHWwO9rGxFd2OD1BYH/3gKgD4DPA78P68EzpIjoj0S0PlDOOiIaGXj9ViLa0uD1MwKvDwTwHIDxgTIrA6+/SkQPHFTuZiIqJ6LPiCizwTUmopnkX5pWQURPExE1+q8thBCdBDVY3ktEJwU+O2sCMeXmg+69iYj2BGLOZQ1eP1wsnUL+Wa+3EFEJgFeCaFOjsS1w7VIiWhCoryIQS05sopwM8s/cubnBs4fEoEbcC2AhM89i5mIAYOYNzHwBM1c2Us9lDWLSViK6ssG15ED/oTIQW34iIiVw7ZbA+6shog1EdEzg9XsCcdRKRLUAVAArA/GxfjbXsYH/Vsk/w7g+9i0joqzAtf8EYnR14PWJgdenAbgdwLmBmLgy8Pr+WEtEChHdQUQ7Av/mrxNRXOBa/RK4PwT+zfcR0d+a+3cVQojDkQSQEKKtFgGIJaKBgY7juQDePOiehwHkAhgOoB+AHgDuClxT4O+oZgPoBcAF4ODkzAUALgOQCsAC4GY0bhGAS4joL0R0BDWYQs7MfwPwE36f3n3tYd7TpwBMAMYEfn4NgBZo+wgAxwO4gpk9AD5CgxlQAM4BMJ+Z9zRS7rEAPmJm4zB1N1QHf3ItHsDJAK4iotMD1/4AIA5AFoAkADMBuMi/lOwJACcGZhgdCWDFwQUzc18AO/H7SLWn4XUiOhvAPYH6YwGcCqAscHkL/Mm0OPg78G8SUQYzrw+045dAmfEH10tEUwE8BP/vKQPADgDvHnTbdPiTecMC951w2N+SEEJ0Li8BuDLwGT0YwPcNrqXD/9naA8D/AXiaiBIC1w4XS+ufTYQ/nv4piHY0GtsaXB8LYAOAZACPAHjp4IQ8+Zd6z4d/OfG/go1BAccC+CCIdtbbA398iIW/T/A4BQYmANwEYDeAFABp8CdemIgGALgWwOhAe04AsL1hoczsCcwCBvwzghubkTsL/lh/UqD+ywE4A9d+hf/fJBHA2wDeJyIbM88B8CCA9wIxcVgj5V4a+HM0/IMy0Ti0DzQB/hnKxwC4i/yDLUII0SqSABJChEL9LKDjABQAKKy/EOgs/hHAjcxczsw18HeIzgMAZi5j5g+Z2Rm49ncAkw8q/xVm3sjMLgD/g7+jdQhmfhPAdfB38OYD2ENEt7b0zTCzD8A+AInkn1VzIoAbmLkukNh5vL798Hf2GiaALgi81pgkAMUtaMcPzLyamY3ADKF38Pvvxhcorx8z68y8jJmrA9cMAIOJyM7MxczcmintVwB4hJl/Zb/NzLwj0K73mbko0K73AGzC78my5lwI4GVmXh5IOt0G/4yhnAb3/IOZK5l5J4B5aOLfWwghOqhPAjNRKonok0au+wDkE1EsM1cw8/KDrt3HzD5m/gpALYABzcXSAAPA3YGEhutwDQwitgHADmZ+gZl1+JNFGfAnV+rlA/ghUOd/D2pHMDGopTHxS2beEohJ8wF8A/9gBOD/vWUAyA787n5iZgagA7DC//s2M/P2+lnCLXQFgDsCM5SYmVcyc1mgXW8G+jIaMz8aqG9AkOVeCOAxZt7KzLXwx8Tz6MAlfPcys4uZVwJYCf/giBBCtIokgIQQofAG/ImPS3HQ8i/4R+McAJbVd4gBzAm8DiJyENHzgenP1QB+BBBPB24AWdLgv53wj5A1iv0bHR8L/6yZmQDuI6IWzSAhInOgfeXwj6SaARQ3aP/z8M9GAvwjt3YiGktE2fAnKz5uougy+DuowbZjLBHNI//yuKrA+6lf/vYGgK8BvEtERUT0SKBzWwf/LKyZgTZ/SUR5Qb/532XBP9OnsXZdQv6Nvut/H4MbtKs5mfDP+gEABDq8ZfCPZNcL+t9bCCE6oNOZOT7w5/RGrp8J/0ySHUQ0n4jGN7hWxsxag5/rPwMPG0sD9jKzO8g2NhfbgAafxcxcP9ul4efxhfAP+HzQ4L6WxKCWxsQTiWhRYIlXJfy/w/rY808AmwF8E1gedmugPZsB3AD/jNY9RPQuNVh23AKHi4k3kX9pWlWgXXFoZUwM/LcJBybaJCYKIUJGEkBCiDYLzAzZBn9n7KODLu+Df1nXoAYd4rgG061vgn+kbCwzxwKYFHi9Tfu+BEYA3wewCv4EBQBwkI+fBv+0+CXwb07pAZDcoP2xzDwoUI8B/6yk8+FPgn0RGJltzLcAzqDAvgRBeBvAZwCy2L855nMI/F4C7+9eZs6Hf4r9dAT2YmLmr5n5OPg71gUAXgiyvoZ2oZGNqQNJrhfgn1KfxP5lXmvw+79Xc7/jIvi/eNSXFwX/KHBhk08IIUQXEphZeRr8yZZP4I8hzWkulgLBxzigmdgWpHsC7Xr7oCXXwcagb+FPhjWLiKwAPoT/pK60QOz5Cr/HxBpmvomZ+wA4BcAsCuz1w8xvM/ME+GMPw7+UrqWaiokTAdwC/3LlhEC7qtDKmAj/UngNQGkr2iiEEM2SBJAQIlT+D8DUwOjffoEEyQvwr9VPBQAi6tFgVk4M/J3aSvKfktXq07fIv/HkyUQUE9hY8UQAg+A/ZQTwd6j6HOb5RPJvVvk0gIcDU7qL4Z9m/igRxQbK7UtEDZepvQ3/iOeFaHr5FwA8Bv/eAa8FEin1v4vHiGhoI/fHAChnZjcRjYE/wVTf1qOJaEig010N//R3nYjSiOjUQGLFA//yAf0wbWrKiwBuJqJR5Ncv0OYo+Du0ewPtuAy/J9gA/++4JxFZmij3bQCXEdHwQIf+QQCLObApthBCdGVEZCGiC4kojv3LjasRxGd0ELG0RYKMbc3xwX9qVxSANwJltCQG3Q3gSCL6JxGlB95TP/JvzBx/0L0W+JdW7QWgBeL78fUXiWh64FnC779TnYgGENHUQLxxw9/faG1MvJ+I+gdi4lDyHxQRA3/CZi8AExHdBX+cr1cKIOcwAz/vALiRiHoTUTR+3zNIa+J+IYRoE0kACSFCIrAuf2kTl2+Bf2r2IvIv8/oWv6+P/zf8x6Lvg38T5zltaEY1/Bs/7gRQCf+mlVcx84LA9f8AOIv8J5o80eC5leQ/AWQz/Ov8b2TmhhtrXgJ/53MdgAr4p7vvn7bOzIvh37A5E8DsphrHzOXwz9bxAVhMRDXwH1NfFaj7YFfDv4StBv6NPhuOEqcH2lENYD38ex69Cf/n+k3wjyqWw79n0NVNtekwbX0f/v2Y3ob/5LJPACQy8zoAj8J/nH0pgCEAfm7w6PfwH6NbQkT7Gin3OwB3wj+SWwz/iOp5B98nhBBd2MUAtgfi4UwAFwX53OFiabAazkg5bGwLqjBmL4AZ8M9mehn+5UtBxaDAXjzjAeQAWEv+pc4fAlgKf9xpeG8NgD/DHwcr4B8Q+azBLf3h/33Uwh+fnmHmH+BPGv0D/j5GSaCdt7fkPQY8Fqj7G/jj7kvw912+hj/ub4R/+ZYb/tlC9d4P/F1GRA33eqr3MvxLun+Efya1G/69DIUQIizIvz+aEEIIIYQQoqsiolPh32B6eKTbIoQQIjJkBpAQQgghhBBdGPlPlToT/tk1QgghuilT87cIIYQQQgghOiMiioN/WdIyBA4LEEII0T3JEjAhhBBCCCGEEEKILk6WgAkhhBBCCCGEEEJ0cZIAEkIIIYQQQgghhOjiJAEkhBBCCCGEEEII0cVJAkgIIYQQQgghhBCii5MEkBBCCCGEEEIIIUQXJwkgIYQQQgghhBBCiC5OEkBCCCGEEEIIIYQQXZwp0g0QQgjROsuWLUs1mUwvAhgMSeiHigFgjaZpV4waNWpPpBsjhBCi7SRetonERSG6EEkACSFEJ2UymV5MT08fmJKSUqEoCke6PV2BYRi0d+/e/JKSkhcBnBrp9gghhGg7iZetJ3FRiK5FMuBCCNF5DU5JSamWzmzoKIrCKSkpVfCPEgshhOgaJF62ksRFIboWSQAJIUTnpUhnNvQCv1OJj0II0XVIvGwDiYtCdB3yP2QhhOgu2FDh8yTD68qAz5MMNtRQFv/WW2/F3X777enN3XfllVf27Nev36Arr7yyZ2vq2bRpk2Xs2LG5AwcOzM/Nzc1/77334uqvzZw5s2e/fv0G9enTZ9Cll16aZRhGa6oQQgjRnYU5XjZUUFBgGTp0aF52dvbgk08+uY/b7aaWlqFpGgYOHJh/9NFH96t/bdasWZmpqalD8/Ly8vPy8g6IlUKI7ksSQEII0R14Xelw1QyFz50NzZsJnzsbrpqh8LqaTdgE68ILL6x68MEHS5q776233kpZvXr1uueff353a+q56667MmbMmFGxfv36de+8887WWbNm9QKAuXPnRi1ZsiS6oKBg7caNG9euWLEi6quvvoppTR1CCCG6qXaIlw3NmjWr57XXXlu6Y8eONXFxcdp//vOf5JaW8cADD6T169fPdfDrM2fOLC0oKFhXUFCw7txzz60KTYuFEJ2ZJICE6GaIaDgRzSKiS4loBhEdR0TjiWgYEfUjolQiSiQiMxE5iCiaiGTD+M7M60qH5u2BQz/zFWjeHqHq1D7xxBNJl1xySS8AOPPMM3MuvfTSrBEjRuT17NlzyCuvvJIAAFOnTu3ncrmUESNGDHzhhRcSWlMPEaG6uloFgIqKCjU1NdVX/7rH4yG3200ul0vRNI0yMzN9oXhvQoiuiYiiiOhGIvoTEZ1LRCcR0UQiGklEeUSUSURJgftMRBRLRDYiavEsDdEJtFO8rGcYBn755ZeYyy67rAIALr/88rLPP/88viVlbNmyxfz111/H/fGPf9wXyrYJIbom+VInRDdjVZVzdlwy9TaDua7Wp+s1Xo1rfRpqfTrV+DSlwuMzaQZThcdnNinECpE6d20RRpEVOtjjBWoIIAJMCmBSQRY3uMID3quDXRrgNAAPg3UdcOuAywD7ACgEUgBAB7sZ0Dzgah9QBcALwAOgEkAtgLrAzx4A7sDPzsCfOgAeZpa1/MFgQ4XmzTjsPZo3A2brHpAS0vVSpaWl5qVLlxasWLHCdsYZZ/S77LLLKr7//vvNDodjREFBwbrWlvvQQw8VHXfccf1ffPHFVJfLpXz55ZcbAeDYY4+tO+qoo2oyMjKGAcCll166d+TIke5QvR8hRJeU/eLNVzx22pEjnbUut17jchu1LjdqXR7UOF1KRW2dyePVyOnxmGpdHjU+2qGtWbPFvOLH5RhJVs0LrjEAXQFUAkwmkM0HdrnBezRwjQ64NMDJYN0AvDrg0sFeAAaBVAIUHew1AJ8GOD3gSvbHOh+AGgDV8Mc9N36PiQ3joROAk5llvWtbRSBelpaWmmJiYnSz2QwAyMnJ8ZaWllpaUsY111yT9cgjj+yuqqo6ZJnaSy+9lPruu+8mDRs2zPnMM8/sSklJ0UPRbiFE5yUJICG6GZXIbFdVr8OsRqXYg3tm7dIiox+sCgBr4M/BUgN/WozBbAC6AegaWNMA3QdmHYAOQAOTD0w+QPWBVR/YpAHKCLIasWaiDLPZqQMaAaQx+zTApzF73cy1XrCLGQyAGWADMAx/YkrTmX2/twHM/jYYBsMgApkAi+JPWhGD1VU+7wM683eteY8RpfkS0PxsTwWaLwFma1koqz711FMrVVXFqFGj3GVlZeZQlfvKK68knn/++WX33ntv6bfffht16aWX9t64cePa9evXWzdu3GjbvXv3KgCYPHly7uzZs6NPPPHE2lDVLYToctgwDCTERDkSYqKCud98/5r/wuQPhSYAjc1kNAOIbVVjwGBAMwBDBzQfWNcAQwdDA6CD4QMUH1jxx0SYfGDTSLIaICgD7BaXBngVgHRmLRATfR6w081cy4BRHxcbxkSDoelgnQDyt8Nff31MVAFVAUz+66SW6tqSIl27tTXvscOKQLxsbCyLiIIe4HrnnXfikpOTtYkTJzq/+OKLA5Y833jjjXseeeSRIiLCDTfc0OPqq6/Oev/997e3vdVCiM5MEkBCdDPZMfYsh1kNenTp7eXb4fBx2JaLEohUwKQCJjOoseRSU9ReNjOOi4qKDlfbGppQsmshgM6XAGIjuMRLsPc18NBDD6W89tprKQAwZ86cTQdft9ls+zuxbZmwdd111/WYO3duHAAUFBSse/PNN5PnzJmzf9aPx+NRSkpKTO+991786NGj6+Li4ozAtaqff/45ShJAQojD6DG8X3Y1gkzYrN+wHVsXrTUcYdpGgUAIzLCFCbBYEfRKM8VkIv5DbJwdQJDDO63396ryEQC6VgIojPGyKenp6VpNTY3q8/lgNpuxfft2S/2y5mAsWLAgeu7cufE9evSI83g8Sl1dnXLaaaf1/vTTT7dlZWVp9fdde+21e6dPn94/VO0WQnResgeQEN3MiJTYCcHc5/HpuPzlBVi4eFe4m9Rqiaoqy8CaQ0pwHclg72vgtttu21u/uWROTk6r9tp5/fXX46+55poeh7vnySefLKyvBwAyMzO9X331VSwALF++3Ob1eikjI0Pr1auX9+eff47x+XzweDz0888/x+Tn58sSMCFEk6Js1omDcnoElTC59S+P4dHr/sUOr94h+89Wtf22JSL/ErWuJYzxsimKomDcuHE19fvkvfzyy0nTp0+vBIB58+Y5zjjjjJzDPf/0008XlpaWriosLFz96quvbh03blzNp59+ug0AduzYsT9R9e6778YPGDDgkE2ihRDdT4cMYEKI8CCicWf2yQhq490/v7cEDk/Hzq+ohI7dwI7AZK4A0NxeBUbgvna3efNma2xsbIv2JHj88cd3vfrqqykDBgzIv+CCC/o899xz2xVFwWWXXVaRk5PjGTBgwKD8/Pz8QYMGOS+44AI59UQI0SgiMk8fP+IKa/0GLIfx4sufoGrFFlg5+Ck57a3DNqyziFC8fPTRR3c/+eST6b169RpcUVFhuv766/cBwPbt2612u73V/Zzrr7++Z25ubn5ubm7+/PnzY59++umOO6InhGg3sgRMiG4k2qwe3S/OEdTUZZPa8fPDSjt2d+s3sO50SNFhshQHTjVpnMlSHIoNLf/85z+XASgDgA8//HB7w2tOp/O3xv575cqVjmeffbZFndJRo0a5ly9fXnDw6yaTCW+//faOlrZbCNFt9eqXmZoZzI3x8dHtGnNaQ2nHg8moK+ab2jFeNpSfn+9dvXr1+oNfX7RoUdT111+/J9hypk+fXjN9+vSa+p8/+eSTbaFqoxCi65AEkBDdSK1Pf/iUL39Nvnxg1tV/O6K/7XD3KkrHn15D7TiLUSUccrpGp2GxlwBA4HSThr8zAyZL8f7rEVA/VV0IIdobM28xqepJSwq2PvvZA7N6mE1qk/1iq8WiAx09DnC7JWW6ZAII6FDx8vnnn9/dXnUJIbqPzjmiLYRoFWY2dtS4bvpwa8ns5u7tnxnXHk1qk3K9/U4zVTp8x78ZFnsJ7DErYbZth8lSCLNtO+wxKyOZ/BFCiEjTdH323GVrri7YWVR3uPumHj1a0dGG3ezbgVtvv+Z12QQQIPFSCNGlSQJIiG6osNa9vtaneQ53z4qNezt0Rxdo3z2AuPl9ATo+UgyYrWWw2EtgtpaFehq7EEJ0UttWbt152FMon3rqXVLRjmusWkFpxzjF6PCThNtG4qUQoouSBJAQ3VC5x/fqR1tLmpzRsqa4Eqq34/d1qB0HILt8Z1cIIbopZl7/0U9Liw5zHRuXHbLtWMfTodNTQgghOgJJAAnRPW0uqKhtcq8DA+25k0Drde41WUIIITqKLUWlh2zCW8/n01i1dPxtM9tzUEQIIUTnJAkgIbohZuYvt+9p8njsIelxMEVbOnxPsj1PPOn0ewAJIYRo0trthb+u3V7Y6NJoi8VMIyYMhw5uv43nWqE9j27o0nsACSFEFyYJICG6Kaemz2nqGhHhphMGdeiOLgBQOy7L0gBfe9UVLuzzqMaOdcnGpmUZxo51yezzhC2p5fF4aMaMGTm5ubn5ffr0GXTbbbel1197/vnnE3Nzc/Nzc3PzJ06c2L+4uDgkQ+sTJ07sP2DAgPx+/foNuuCCC3ppmhaKYoUQ3cMP5TW1TcaUq2aeDU+UtUMnPYjab1TE6Ar74h1Ge8XLqVOn9uvfv/+g+p+feOKJpISEhGF5eXn5eXl5+Y899lhyc2Vcd911PdLT04c6HI4RDV93uVx08skn9+nVq9fgoUOH5m3YsMHS8Hp5ebmSmpo69JJLLukVunckhOjoOv58ViFEWGyvcVWt2lcNk0K612Dy6LqiGcx2VaWRqXHolxyt1pnAUVrHHeVrzww2c+feA8jYtCyddxVkwND3/9p4y29ZlJVXrPQfFfKTTV555ZUEr9erbNy4cV1NTY2Sl5c36NJLLy3v06eP97bbbstau3bt2oyMDG3mzJk9//nPf6Y+9thjTe6/EaxPP/10S2JiomEYBk488cS+L7/8csKf/vSnilC8HyFEl1e87NMvbMnLF+leBrwM1UsKNLsDk889EwCQPby/svfntRFuZsfQlffFa694+dprr8VHRUUdMth2yimnVLz++us7gy3n9NNPr7z55pv3DBw4cHDD1//zn/8kx8XFaTt37lzz3//+N2HWrFk9v/zyy63112+66aYeY8eOrWnbuxBCdDYyA0iIbirNbtGGJsciPzFGHZ4cq4xNS8BRGYlUG5g1sbqkik1ax+7fqe2YmuroU/8Px9i0LJ13rO3RsDPrv6ArvGNtD2PTsvQmHm01IoLT6VR8Ph/q6urIbDZzfHy8bhgGMTNqamoUwzBQXV2tZGZmekNRZ2JiogEAPp+PfD5few6GCyE6v/hhcfbqvBibOjTWph4RZ8ORsRakumv3f/bvXLctku1rVnt+4nWJkzEb0V7xsqqqSnniiSfS7rnnnuK2lnXMMcfUZWdnHzJL+Ysvvoi//PLLywDgsssuq1i4cGGMYfj/2X766SfH3r17zccdd1x1W+sXQnQukgASopsamhx7RGOvR5tNmF9Uhp937qPoFAdRohVOC3XITJAhexA0i30elXcVZBz2nl0FGezzhDQeXHrppRUOh8NITU0d1rt376HXXnttSVpamm61Wvmxxx7bOXLkyEFpaWlDN27caL/hhhv2hareCRMm9E9JSRkWFRWlX3bZZTL7RwgRrEEDE6IPWeaTaFJo/lvv4fMX3kCClaAm26DHmsHgDhcXWWJim7RnvJw1a1aP66+/vjQ6OvqQRNrs2bPjc3Nz86dNm9Zn8+bN5tbWUVpaaundu7cXAMxmM6Kjo/XS0lKTruu46aabsv7973/vast7EEJ0TpIAEqIbIiJ1aFLMsMaujUyJw+TMJFw1th8eP+sIPHnuGBw/MqvNdVothDDMGG+3DnhnHe3koi0Jh4xkHszQFS7ekhDKeufPn+9QFIVLSkpWbd68efVTTz2Vvm7dOovH46H//ve/KYsXL15XWlq6Kj8/33X77bcftsPdEgsWLNhUUlKy0uv1Kp9//nlsqMoVQnRt/eOijk1zWKMOfj3VblEm2YHpSRb864yR+M/Zo/HshePga2P8UVUYpIY8hnW4pFRn0l7xcuHChfZt27ZZL7nkksqDr51zzjmVO3fuXL1x48Z1U6dOrbnooot6t7YebiRHSUT88MMPpxx//PGV/fr16/R7GwohWk4SQEJ0TwOOTE8MOvCfNrgHfOBWJ0DSo004Ni4K4xMdQAhHTeUDLAheV3Cjh54g72vC66+/Hl+/aeWPP/7oeOONN5JOOOGEKqvVyj169NBGjx5du3DhwqhFixbZAWDQoEEeRVFw/vnnly9evPiQL11t4XA4ePr06ZUff/xxfCjLFUJ0XSNTYo9syf1qnKXVIchuJQyNtSkzkmLIZA7dpB2JiW3UTvHyp59+il6zZo2jR48eQyZNmpS3fft265gxYwYAQHp6um632xkAZs2atXft2rWO1taTnp7u3bZtmwUAfD4famtr1dTUVH3RokXRL730UmqPHj2G3H333T0/+uijpKuvvrpHW96TEKLzkFghRDekAEdPykwM+kQLm0kln1VpcS+VCFpmtBknRUUhXTWhSjf8r4aIKrPdm2exB5foswZ5XxMuueSSyoKCgnUFBQXrJk2a5OzVq5d33rx5sfX7/CxfvjxqyJAh7uzsbN/mzZttRUVFJgCYM2dObG5urhvwJ5GuueaaVnVCq6qqlB07dpgBf0d3zpw5cXl5ea62vCchRPdARMlj0xIyW/JMn7TWTTCMtil8XGyUPtJqgxVkaFroBkVk37M2aqd4ecstt+zds2fPqsLCwtU//vhjQU5OjmfJkiUbAKA+jgHA22+/Hd+nTx93/c+9e/ce1Fh5TTn55JMrX3755STAfzDD+PHjaxRFwWeffbatuLh4dWFh4ep7771394wZM8qeeeaZwra8JyFE5yGngAnRDR2ZkXB+vNVsD/Z+IoJqUgme4I/VVlQYw2JtppFW2/7XKvTQ7qOsUPtNdzc66dR6yuxbwVt+yzrstHZFNSijb0j3y/nrX/+657zzzsvJzc0dxMy44IIL9o0dO9YFAH/5y1+KJ0yYMMBkMnHPnj29b7/99jYA2Lx5szU2NrZV/09SXV2tnHzyyf28Xi8ZhkFHHXVU9V/+8pe9oXxPQoiuSSGcdErvVC8AS7M3B8RHWbCjRbUwUqPMOCUmmgCoAFBlGACHbiSjHUNilzwFLFLxsqFHHnkk9euvv45XVZXj4+O1V199dTsAFBcXm5i50f9fmTlzZs+PP/440e12K2lpaUMvvPDCfY899ljR9ddfv+/MM8/s3atXr8FxcXH6e++9tyVc7RZCdB6SABKimyGiI5+YOKjRDaAP55wx2fh03mYcbo9JUoGeDjPsCqGf2YIM04EfMUqIZ+yEuryuiMxWnbLyinnH2iZn1lBWXjGZrSHd4yguLs6YPXv21sau/fWvf93717/+9ZDkzMqVKx3PPvtsqzalzMrK0tasWbO+Nc8KIbovIoqenJl4V06MI7olz106ujeuXVMM82HmghDBiLEpSqrZhERVxRCr9YDr/g9dRuj2bpYpQG0RiXg5YMAA76ZNm9bW//z0008XAjhkNs4PP/wQdcUVV+xprIznnntu93PPPbf74NcdDgc3FYfr/fnPfy4DUNbylgshOitJAAnRzQyIj7rxqsHZ1ubvPNC+nRU4Ljkaq90elNT6uLGO5vg4BwZa9g+gHjKCNjnKbmzrFa9MHpltKOQ/WcyjG+zTDdT5NPJoBnRm8ukGNIOhM5Me+G/NYOgGEzNDMwxoOsOhKmoxCC6vDzazCQicy8IcGJtkDkzdYf//YaDhuCXh93sPeDN8wF8AmKgEiS39nXUUSv9RJQb8p5ccMLKpqAZl5RUr/UeVRK51v/v000879hnLQoiuaOJ9Ywf0aulDGwortTPio007fBrW1rgNQz805sXbVWVGbEyTZWSaTMrY9BhMOWYAiEhXFYJPN9irG3DrBtV5NWgGkx6IgZphkD8WGtANQDMMMphhGAyfbsBMhGKF4PLosJnV+tgHZoD49/hY/9+/39CgUeyfScTNxEXdY4pv6e+sM+io8fL888+vikS9QoiuRxJAQnQzlR5fi0d6XB4fq04f9TKZ0SvajC+4lkrrDl4OxtzbbAIOM5RpJ0WhWi96xthDuv/YktIKHpOW0NzIZ5tGRmn15k59pLjSf1QJ5wzew8VbEuBxmWG1+yijb0WoZ/4IIUQnU1nn03QALdrYd9OuclOOakKaakKmSaWv99Udck+Kufmt9vqziqxYBxBYFhYKS0orjDFpCcHE2VbHxS/mOatb+2xHJ/FSCNGVySbQQnQzpS7vc/f/uqlFm+N6NIOpwQjhsdEOfWi8jUcm2Dj291wO/ex0NdmZNJh5U7wJE8f2Du1GQAAI1OX2IggHMlsNpVd+mdJ/VInSK79MOrNCCIHfbvulYJXR2JnZh6Frv3989jSZaUyC3RiZYDN6x1pA5F/dtdujodJoevO7AtWALy855J/DHMJ9hZpC1LXjrsRLIURXJQkgIbqflXtcHm9LHoiPsir2Hr+feGIjRR1ts9EIq43OjotFokMFAN5e48M+vfHOrkJEIwdm6FnJMSEb5awnux4IIYRoDWZ2Fzs9S5QWHqF19KhsuNjYnwQZYrUqI6w2ZarDgUmJDmIwnG4di13uJmOeEmXBxPxM6YsLIYRoN7IETIjuJ3diZmKLprprugHf7mr/Ls+NmBYdpVtiSF3qcSNZVRu9qcBk4MzkaEnVCCGE6FAmZCROa+kz85btQF9SGo1p/cwWykg1GUW6RrGKwmhkwLXE0Dm/fyYQuh2g9+vSU3OEEEK0iSSAhOhmHCb1jBN7pTY74rinyml8t2irEpvggMmkIqeJ5A8A2BVFBYCxtsZPlt+gGnz+KcMIYZp1qMoUICGEEK1ARL2emTw4K5h7v1yyFVX76jB6RBZi9rkMKGqTMS1KUZT+igVoJMGjM/OkkwdRlK1FYzFBM1q2mk0IIUQ3ItNOhehGiEidmJn4kErU7ClgMXYL9a4zkFlYh9QdbdvrkS1quDM0Yc8AKdT5Py+5rlo1vvskWf/o5Qzju0+Sua465MvxGnP99ddn5ubm5ufl5eUfddRR/bdv396ibz3XXXddj/T09KEOh2NEw9c3bdpkGTt2bO7AgQPzc3Nz89977724+muqqo7Ky8vLz8vLy586dWq/UL0XIUTXEm8xvTg5MymokzGrS2sw0APULtqF1MMkf5pTy8wOa/jGYA8+wCscuvqwSzji5dlnn52TmJg4rH///oMavl5aWqoeeeSR/bOzswcfeeSR/ffu3XtAXZs2bbI4HI4Rd911V1pzdVx55ZU9e/fuPSg3Nzf/uOOO67tv3779Zd12223pvXr1GpyTkzP4ww8/3L+uv6kYK4Tomjr9FxohRPBUor97dQN935xHmsGH3dDQbjHR9tjQdFDTMuOav6kNnJreDgmgzj3NSP/45XT99j8MNT58IZu//TDT+PCFbP32PwzVP345Pdx133333SUbN25cV1BQsO7EE0+suv322zNa8vzpp59euXjx4vUHv37XXXdlzJgxo2L9+vXr3nnnna2zZs3af5Sz1Wo1CgoK1hUUFKz7/vvvN4fifQghuhYiShuREnfciPd+wpc79hx8tOUhhg7PCsnUmmJLeEOKw9Quuf1OHRMPJ1zx8vLLL9/32WefbTr49bvvvjtjypQpNTt27FgzZcqUmrvuuuuAeq699tqsyZMnB3UM/AknnFC9cePGtRs3blzXr18/95133pkOAMuWLbN99NFHiRs2bFg7Z86cjTfccEMvTfP/v3xTMVYI0TVJAkiIboKIYo7NSr7lvjG52HjhFLdJoWb/998zM77Nnd0CM2Pq0KBm17dae0x3Vzrx56X+8cvpPPfDHvB5D3wPPq/Ccz/sEe4kUGJi4v5kY11dXYu/+BxzzDF12dnZvoNfJyJUV/tHZSsqKtTU1NRD7hFCiKak2C0lMwdnY+vFRztPzk5tdsQjv2cCVRlGm06DqjQMferE/mE9UcpmUkJ+2ubBiLpmAiic8fLEE0+sTUlJOSTROGfOnPgrr7yyDACuvPLKstmzZyfUX3vjjTfic3JyPAMHDnQHU8eMGTOqzWb/JNvx48fXFRYWWgDggw8+iJ8xY0a53W7nvLw8b3Z2tueHH36IApqOsUKIrqnTfqERQrSMVVXWZUfbMS49ATEWky2YZxJirG3uRKpR4dnjoL111hlAXFet8g+fH3bGDf/weQbX1YQ1HtRPMf/ggw+S/vnPfxaFosyHHnqo6P33309MS0sbOmPGjP5PPPHEzvprXq9XGTx48MBhw4blvfHGG/GhqE8I0XUQ0THpdiuOSk9AmsPqCPIZOKltIw51xEpavCOsn7d6OxxYTl1wBlCk4mVZWZmpPgGTnZ3tKy8vNwFAdXW18uijj6Y/8sgjrYqZr776avK0adOqAKCwsNCSlZW1/wTYzMxM765duyyhaL8QonORBJAQ3QAR9RuWFNPziNSWLcXqnRrbpnnkBSYDpx4V3pFOwN8pD38dnfPzkhd9n3DISObBfF6FF3+XcNh72ujJJ58sLCkpWXXWWWeV/fOf/0wNRZmvvPJK4vnnn19WWlq66qOPPtp06aWX9tZ1f85y8+bNq9asWbP+nXfe2XrrrbdmrV27Nqg9PoQQXR8RUW581Lf946OQ5mjZR0NtG04dqDAMPXd8TmsfDxqD22EPoM45KHI4HSVe1rv55pszr7322tK4uLgW96NuueWWdFVVeebMmeUAwI3kLYlIdgsXohuSU8CE6AaGJcU888MZ49msNH5kbVO8mmEAaFUSSGdme1IU2SymsCdOyH/qbVg7oyY6zDFoHRhXlQc1BSvY+9rqsssuKz/55JP7P/74422eBfTmm28mz5kzZyMAHHvssXUej0cpKSkx9ejRQ8vJyfEBQH5+vnfcuHE1S5YscQwaNMjT1jqFEJ2fQjjrpaOH+salJ7T4c68tE4D2qaxOzYhv9fPBMtrha31XXAIWqXiZlJSk7dixw5ydne3bsWOHOTExUQOAZcuWRX355ZcJd999d8/q6mpVURTYbDbj9ttv33u48p588smkr7/+Ov6nn37aqCj+LljPnj0PmPFTVFRk6dmzpyz7EqIb6pQj2kKI4BHR+DuO6H9US5M/AOD2aq3uRtYw87Qjclr7eIso7TAQaVKUTpkwp7jEoDp4wd7XGqtXr94/xP7+++/H9+3b1wUA27ZtM48fPz63teVmZmZ6v/rqq1gAWL58uc3r9VJGRoa2d+9e1eVyEQAUFxebli5dGj106FBXW9+HEKLzIyLTmX0ynmhN8gcA1DYkV9L6pbT+4RbQ2yEDpFDz+wh2NpGKlyeccELl888/nwQAzz//fNK0adMqAWDZsmUbCgsLVxcWFq7+4x//uOf6668vrk/+nHHGGTnz5s07ZOniBx98EPvvf/87/auvvtocExOzf+bQmWeeWfnRRx8lulwuKigosGzfvt02ZcqUulC+DyFE59DlPryFEAcanhx7z2m90+ytedbpbfZQlCbFK4qysKC41c+3RHsMQ6rUuplQkUbjplbAbDn89HGzxaCxx1SEqw0333xzz/79+w/Kzc3N/+6772KfffbZXQCwa9cus6o2/3Vq5syZPdPS0oa63W4lLS1t6KxZszIB4PHHH9/16quvpgwYMCD/ggsu6PPcc89tVxQFK1assA0bNmzggAED8idPnpx7ww03lIwaNSqoDTSFEF3e6beP6hfd2odNjFZnV4q272vtoy2it8fBCJ10WfThhDtennLKKb0nTJiQt23bNmtaWtrQxx9/PBkA7r333uJ58+bFZmdnD543b17svffe22znaf369Y6srKxDElGzZs3qVVdXp06dOjU3Ly8v/4ILLugFAEcccYT79NNPL8/NzR00bdq03Mcee2yHyeQf12oqxgohuqZOOaIthAgOEfV/auKgSdTKTXJc3rbtAV1aXAWE+QQwAFD969jDmgcyd9YZQFGxOk05pZjnftijyXumnFJMUTFh26vp66+/3tLY6wsWLIi66qqr9jT3/HPPPbf7ueee233w66NGjXIvX7684ODXjzvuuLqNGzeua11rhRBdFRHRMT2T7hmcFNP6BFAb6k/xMHTDgKqEN3dicPj3AFK74gygMMfLzz//fFtjr6enp+u//PLLxsM9+9hjj+1fNl1eXq707t3b3a9fv0MSQDt37lzTVBkPP/xwycMPP1xy8OtNxVghRNfUKb/QCCGCowBnXZLXs9UzVzxerVWZI4MZ5X3icf7wXq2tukVavrit5UwKddrPS/WMy0t0+E8vOWCDS7PFoCmnFKtnXH5Ih7A9NLePgRBChFivc/pl9m9LAa3d/GW9FTh5ykBWW7Ecu6XaY2ffrrgEDOi48bKhxMREY/bs2Vsj3Q4hROfUab/QCCGad2J26h/sJrXVmxV6fDoFdV58A6WGujfnnwAAoJ5JREFUDrVvIo5rp+QP4B/VbbfKOin1jMtL+Piz9/Di7xK4qtxMcYk+GntMRThn/gghREfiMKlnndY7TQPQ6uOvzdzyA9A3J5hxytg+eozd0i5LidtjBlBXJvFSCNGVSQJIiC5Mobb9b9zt09CSBNBu1nHk8XmcFGNr186nXe2SA5EhR1ExBk09vSzS7RBCiEgwmM3Uxv0vLS04/arGMNjdJ57OHpENtPJEzdbQ2mEPoK5O4qUQoquSBJAQXdjn2/fcvGJf9WvDk2NjW/O81xfcYJeb2ShMtiqnjO/LVrOp1ckf3WAucrr1dIdV3VHjQlGtmxj+U74UAkwKQTcYPoPBYBD5D4D3GQbtdXtBAChwSO+IlFgj2mwKWYe75WO+QgghOhK3bjx5/9LNdzw+Ib/VZVgQ3IzT9RZg+LAs5PdMbHVdALAHqm6HATCUFY5EYosFZmcdODUNxr59sGkeOKPj4Nm6BRa3/7BDp6bjx8Ky/S0lIk6xWzAgPlrimBBCdHOSABKia1u1al+1dXhyq/I/8Pr0oDqLO+PNyrmTBgANkiQ6M9QG/eQlpZUwmJEVbdPjrGZSiajU6TYqPJpa7dUQbzUjNz4KWdF2k1c3uF9cFPWLi2qyzuV7qzAyJa6xSwQAu2tdHG2WjzghhBB+zFx3Su+0XQDyWvO8T9NZDWLJ8Q7WcfoxgwyHzbx/tpHBB+5XV8Qqb3HEU4ar2khine0wlDoovEOxKm6zBZSahgED+ulpcTGqbhhgZp6kNj2mscDtwlGeyqYu0/zCMgyIb/Xe10IIIboI+XYkRNdmMatKq9es63rzp4BtUA2ce7S/L11S5za2VjuVZLtFT7ZZlDVlNZRstzAAjEmLr+/67u/B5sRGqTkHFkcAYFGb3ySzzqfDremGzdT4+i8lxBN2qItueCmEEN2JiajV++I5vVqzJ0662DCOPDZXqU/+/Bifibj0NKNPdhatXr2Okop2GHuSM5RJk8ZT4Kip/bHFDlDygcWpAOpPDTtsvY74eK7YuRcJVnO7zPKRWbFCCNE5yRcaIbq2hLb8j1zTjGY7eF4T4dc9ldhe7TRUhfjIjETkxkeriTYLTeqRhPzEGMpPjAl5R3FiZiIYoB+LGl+irzQySFvr04wafwe+xTSDtdY815FoFRVqyfMvJu+6/+8ZJc+/mKxVVIR0T4rrrruuR3p6+lCHwzGi4eubNm2yjB07NnfgwIH5ubm5+e+9997+qVuqqo7Ky8vLz8vLy586dWq/ltT37LPPJubm5ubn5ubmjxgxIu+XX36xA8DKlSut9WXm5eXlR0dHj7jvvvtSAWDWrFmZqampQ+uvNWyLEKLrI6Jog7lVAyNun95s/NAAWt+zL3aMm2JsGzPJmDx1Iobn5yqxUXY6atwo5M2YoUyaNL411R/WyKPGUvw559Py1Gx4dSPo97fH5W7V70Jv5e+wswh1vNy8ebN57NixuX369BnUr1+/Qffff39q/bXS0lL1yCOP7J+dnT34yCOP7L93714VAEpKStSxY8fmOhyOEZdccklQJ2tceeWVPXv37j0oNzc3/7jjjuu7b98+FfDHy4ZxUVGUUQsXLrQDTcduIUTXJAkgIbowZv7lmh/X/GPpnkpna543mu/rop+bjS2/FSLdauEUu7XdNrkEALtJpab2uiTiAz7fyt1e7HN5FZtJQVGdGz8WlqHS4ws6GcTo3J3dXfc/mL5i5Nihu+65L7vkmeczd91zX/aKkWOH7rr/wfRQ1XH66adXLl68eP3Br991110ZM2bMqFi/fv26d955Z+usWbP2d2StVqtRUFCwrqCgYN3333+/uSX19evXz/Pzzz9v2Lhx47rbbrut6Morr8wGgGHDhnnqy1yzZs06m81mnHfeeZX1z82cObO0/vq5555b1Ya3LIToZD7eWnLCnYs3tComeoNIAMWQQqXvfo/aXaXo0zOjXfvZiqoiISUZCjXfv9eZ8WNRGZJtVsXp0/mnojKsL69tSXVddqfpcMRLs9mMRx99dPfWrVvX/vrrr+tfeuml1GXLltkA4O67786YMmVKzY4dO9ZMmTKl5q677koHAIfDwffdd1/RPffcszvYek444YTqjRs3rt24ceO6fv36ue+88850ALjqqqvK6+Pe66+/vi0zM9N75JFHuoCmY7cQomuSBJAQXVyVV7v/hM+WPPTepiJXS5819OZzHnZSlDwXY0dZTYfqDBZU1Cke3WAAKKpzG+UeH3JiHTArCmVG2TCpRxL2ury0Ym9w3/8JnXcJ2K77H0wveea5Hux2H/Ae2O1WSp55rkeokkDHHHNMXXZ2tu/g14kI1dXVKgBUVFSoqamph9zTGscdd1xdSkqKDgBHH310XUlJySFHO3/22WexvXr18uTm5npDUacQonNj5pWP/Lb1mMu/X1mpGUaLPouc3uAmgvb3aFj95Y8RiRk+r49NyqFVJ1jNKK5z7//5l+IKTMpMgkIEh1mliZlJyIiyYn5hGTQjqHDeJZeAhSteZmdn+yZMmOAEgISEBKNv376unTt3WgBgzpw58VdeeWUZAFx55ZVls2fPTgCA2NhY44QTTqi12WxBD0DNmDGj2mz2r3IcP358XWFh4SFx8fXXX08844wzyut/bip2CyG6pk77hUYIERxm5iqv74H/m7fqhp+Kyls06hlMAggAdGaOc1jb9fNEZ8bC4nLkJ0Y3ulHR5B5JKHd78VNRGTZV1imNbSjdPz4K2bGOoEY9NTY65RIwraJCLX351YzD3VP68qsZWmVl2P79HnrooaL3338/MS0tbeiMGTP6P/HEEzvrr3m9XmXw4MEDhw0blvfGG2/Et7aOJ598Mvnoo48+JJv3zjvvJJ511lkHrBN86aWXUnNzc/PPPvvsnPqp9kKI7oOZl7yxoXDIzT+v97RkOZg7yAQQAFgisOHyuuWrULt0SaOJmaHJsYgyq7y4tBLry2sxIfPQ08nirWZM7pGEn4vLGynhQMxdbwZQe8XLDRs2WNatW+eYPHlyLQCUlZWZ6hMw2dnZvvLy8pDs0frqq68mT5s27ZC4+OmnnyZccsklcsS9EN2UJICE6CY8uvHCsZ8tuvzcr5cXGdzUwqmDBDcKCAbI1YKOcSiUu7xIc1hxuGVnGVE2mpiZhMk9kposJ8Fqhs2kYGtV3WHfLDM65RKwff/7MOHgkcyDsdut7PvfhwnhasMrr7ySeP7555eVlpau+uijjzZdeumlves3GN+8efOqNWvWrH/nnXe23nrrrVlr1661trT8zz//PObNN99M/s9//nPANHm3203ffvtt3MUXX1xR/9qNN964Z8eOHavXr1+/Lj093Xf11VdntfkNCiE6HWbe/fSaHUcOeffHOVurnHXBPOP2BncyJgAYnvafUFG0ahVGxtmavB5rMdPYtHgMTDx8cmpyjyT80kwSiLvgErD2iJdVVVXKjBkz+v7jH//YlZiYGLZ+xS233JKuqirPnDnzgH/I77//PsputxujR492N/WsEKJrkwSQEN0EM7Nu8HsfbS259Nc9lUEt9CcjuESRiQilrdtmqMVcmm6UON0oqKxDnU+HpwWbXTald6wDqkK0qKQCO6qdjc4oCjpp1sH49pQGdeKNrzS4+1rjzTffTL744ovLAeDYY4+t83g8SklJiQkAcnJyfACQn5/vHTduXM2SJUscLSl78eLF9quvvjr7k08+2Zyenn7Av90HH3wQl5+f78zKytqfnczKytJMJhNUVcW11167d8WKFYdODRNCdAvMvHpjZd2pj63cGlRix+MLPgHk3VvZ6na1hE/TuNbl5gWrN2Dw9JOwpSY03+uHp8QZ8wvLsLmqjl3aodOBGZ0zJh5OuOOlx+Ohk08+ue/ZZ59d/oc//KGy/vWkpCRtx44dZgDYsWOHOTExsU0jak8++WTS119/Hf/RRx9tUw5aDvjWW28lzpgxo/kpXkKILksSQEJ0P1ufWrXdVuvTmk2cUBCbQNcrLK1ul88Tq6oo6Q4bJmYmYmhyLHbWuEJSb3aMA+PSE5Ad61B/KamATw9y+lMHZ05NC2oY2pwW3H2tkZmZ6f3qq69iAWD58uU2r9dLGRkZ2t69e1WXy0UAUFxcbFq6dGn00KFDXQBwzTXX9Hj99dfjD1fupk2bLGeffXbfl19+edvQoUM9B19/9913E88555wDOrr1nezA9fgBAwa0eG8sIUTXwcz68r1VK5fuqWz2M9DTgpmu9orqdokhv27YStF2G00YMgDpyYkotMeEpFy7SVUm90hCv7goKnF6lI0VLdogulMKZ7w0DAPnnXdedm5urvuee+4pbXjthBNOqHz++eeTAOD5559PmjZtWmVz5Z1xxhk58+bNO2TA5IMPPoj997//nf7VV19tjomJOaCfp+s6vvjii4RLLrlEEkBCdGOSABKim2HmLe9uLu7zp3mrlRqvhjK3Vy+qc+vbq53ahopafXVZtfHb3ipjcWkF2OCgRzs1X6MTZ0Lqx6KyA453X1RagT5xLZowEpTx6QnY6/Ie8N4ZnXMJWPI5Z1ZQMxtIks1mJJ9zZsXh7gnGzJkze6alpQ11u91KWlra0FmzZmUCwOOPP77r1VdfTRkwYED+BRdc0Oe5557brigKVqxYYRs2bNjAAQMG5E+ePDn3hhtuKBk1apQbANatW2fPzMw8bCf7jjvuyKisrDRdd9112Xl5efmDBw8eWH+tpqZGWbBgQexFF11U2fCZ66+/vmf90fHz58+Pffrpp3e19X0LITq3X/dUHTVj9tKN26qdqPT49BKnR99Z49I2V9Xpa8tr9BV7q4yleyqNfU5P0P1mi24g3BNH124vxNiB/fb/XFtTg0Fa6Gfj9o51oNh5UI69SwyRHCic8XLu3LnRn3zySdKCBQti6o9if++99+IA4N577y2eN29ebHZ29uB58+bF3nvvvcX1z/Xo0WPInXfemfXBBx8kpaWlDa0/OWz9+vWOrKysQ2LkrFmzetXV1alTp07NzcvLy7/gggv2n7o5e/bsmPT0dG9+fv4BhyI0FbuFEF0TddJVDUKINiKiaXNOGfPhMT2TD5tB0Q0DHq9uuHwae3w6u7waPD4DHk0nn6bD6zPIq+lwsqFMH5YdlrZ6dcPYWFmnJNnNyHD8vr/BopIKjEsPz9Y18wvLDtg7KOOVb5/Y6/JcH5bKWmnlypXbhw0btq+5++pPNWnqevrVMwuz7ry9JLSta5sJEyb0X7BgwaZI1b9y5crkYcOG5USqfiFE+yKi6Evzeu544eihh+6O3AAzw+PT2e3TDY9Xh8unsdunw+vT4NEM8mkG+TQdHp+uZF9yDuf1zwnLaVmbC0uNkvIqZcKQ3P2vLf5uPsZUheejfEtVHXpG22FV/Tmw639aW/X06u3xYaksDLpSvCwvL1cuvPDCnNmzZ29tz3olLgrRNYRkl3khRKf09VXzV3+36rxJ02yq2uR6dlVR4LApisN2+CXvVR4fNINhUkLf1122t0oZ30iiJ5zp6zFp8bymrJoGJ8UCAHTm8E9xCpP6zmrpy69mNNzgkmw2I+3yS4sj3ZltTCSTP0KI7oeZa62q8qcz+6S/MS071d7UffT/7N13mFxV+Qfw73vv9NneSzbJbrLpvfdC771oFBARVFBABVFQBMSfoigIIioo0nuVXtN7771v72X6vef9/bHZkLJlZne2Zd/P80CSmXvPPRN45px9zznvSwSHzUIOm0VHKxnEVnk8HRL8WbV9LyYOydMGZqcf37cmyr9Hy4B493ELIxxB9bSepCeMl0lJSaqzgz9CiFOHBICE6KWYmYnonme2HT79hyP6tTsB8MaKWszMar7aVltV+oM8LjUeAE6aSDstHVfB22nRKcvtQEgpWDUNIdUzy8A3yvn13cWZP765tPy1NxNDJSVWa3p6KOWqy6ssCQmn5CReCCEiFTDVm2f3Tf3DmTmpubpG7RpgtpLDnDRmeMcMUgRGE2NioK6uQx7XaHZ2MlaXVmNCWgLMHnosOhwyXgohTmUSABKiF2PmTbpG12a47C9cmpfRfO3YMDgtepMT0kgsLapEfoLbCJkMEwxmpjSnXbPrTW8rqu3gMrvxNivqQgYn2DXqqWXgj2VJSFAZN91Q0dX9EEKI7urTQ+WnX/P5+hUvnTU2oz3t1Fqs7d6Os3L7HvRPT2HFbIYMEwDIabdpEwfnNTkmZg3OR+26lYizddz03nekfgSf4jkkZLwUQpyqJAAkRC+nGG+tKKnWLs1r11wX1YEQbSyvVQDYohGsmgabrrFdJ7KQBptOsGoa2XRN06npONHAeDdSnfawv5dmZSdjYUEFZmVHf+cRABjMnGC3EgAEe/gOICGEEK1j5oODEmK+BDCvPe2kBH28fn8hNNKURoDVosOma7BZdLZZdLLqOmwWnawWC1ktepODoj8YQlpiPCHM+fqAwfnYzQxavwqxHRQEsuuaAqApRo89Fi2EEL2ZBICE6OWYmW8Y1rcOQLuiKDZdw6iUuLBWPE1mGEpx0GTlNQwOKkbIVNrBer+W5rJH9NzpmUkdlgz62AVOQ7EEgIQQohco8voLFTNr1MxqRRjiAz7kX3Uj6ZbWzyqbpgkzFORQMMQ+bz37PXUcCoaQNrmPpaZqH+JbycF3rIFDBmHpgUOYWFfKFi36Sfka/0bMUzQHkBBCnOqkDLwQAv/bV/JssTfgaU8b0zISYajw5oM6Eey6TrE2i57uclhyYpyWvHi3NisrCUsKK2Gq8LeW6xphZHIc1pXVNPn+tso6XlNag0KPP+Lt6rtrvAQAqmGvu6x2CiFEL1AfMl9+cvOBdp0xTnVYtWX/eiysa3Vdh83hJHdcnJaSkaX3GTDYkjt0hGX42PHY48pmbzCy9YdpZ5+OpXCRoU4e9nyGaS7Pm4BlgcjXgE3FSHfaCWhYyBFCCNHzSABICIEyf/DvCwrad9TdomlYVVrdrjY0IkzJSMSumshiUW6rjvwEN/Y0cV910MD4tHgYimlhYQUO1/tUTSCkdlbXm7trPMaeGo+5o6re3FZVZ26vqjd3Vtebu6o95q5qjyrx+rG9qt5cWVJNAOa268N1A/UVlfrnjzyR8ubPf535+SNPpNRXVEYtQWldXZ02Z86cgbm5ucMHDhw4/Oabbz5aRveGG27IGTJkyLAhQ4YM69+//4jY2Ngxje/puj6+8b3TTjttYCTPfOGFFxIGDRo0bMiQIcNGjBgx9JNPPolpfC87O3vkse81vr5s2TLnmDFjhgwaNGjYaaedNrCyslLGQSHEcZh57cLCyn3tbUfbvLrdfZk4ZSqt8doivm/2FRdjaeDkDUBbQzrNuPmnmPn4c1hoTcIqX8Pru7whc5c3ZO7xhszd3pC5zWuY272GudNrmLuOvPZFpQ91ZKGt9SFUxyRltvezdWfRHi93795tnTx58qC8vLzhAwcOHP7b3/42rfG9888/P69xHMzOzh45ZMiQYQBQXFysT548eZDL5Rp77bXX9g3nObfddltW49g3ffr0/P3791sBYMeOHTaHwzGu8Tnz5s072t5TTz2VOGjQoGEDBw4c/oMf/KBPez6nEKL7kyNgQggA8NaFjHZ/H2gghXYGlleUVGFaZlLE29ZjrBYUIwBPyGC31UIAUB0I8cB4FwOgvrFO9I11oi5oYF+dVxt1pLx7S/IT3ACgH1lFXRxpn7qTt+66N+Orx/+ZGfL5jv73efeeB3Lm/vj7RZc99EBUytr+7Gc/K7nwwgvr/H4/TZ8+fdBrr70Wd9VVV9X++9//PtR4ze9+97u09evXuxr/bLfb1fbt27e25XkXXnhh7bx586o1TcOKFSuc3/jGN/L27du3pfH9BQsW7MzMzDxu6fzGG2/s/9BDDx06//zz6x999NHk+++/P+Ovf/1rYVueL4Q4dfkM09feNkhr/5hYXFKCYTY/gMiDQJMvuxjrXnkFY+O/rmofHDzmaH9O+/3fwMxY+dzTmHzdja0GOIYc83v3d25o167h7qwjxkur1Yo///nPh2fMmOGtqqrSxo4dO+y8886rHT9+vP+DDz44WtL9xhtv7BMfH28CgMvl4gceeKBww4YNzs2bNzubb/1rv/nNb4obx7QHH3ww7e6778586aWXDgJATk5O4MTxtri4WL/33nv7rFmzZltWVpZx2WWX9X/33XdjL7744o4tKSeE6DKy8imEAAB/sbcN+8FPEFKq3d8pZjt2lQ+Md2NTRR3VBQ2sKqlGVSCIVKf9uD7F2ixhBX+ORQ0ld4Nt71nXeuuuezM+/eOj2cdOZgEg5PNpn/7x0ey37rq3fRnAAcTGxqoLL7ywDgAcDgePGjXKe+jQoZN+YnnjjTeS5s2bV9ne5wFAfHy80rSGj1RXVxdWuo79+/c7zj333HoAuOCCC2rff//96CePEkL0eGW+YHV727BHoXZAaVERJ7siD/4AgMPpQM6552FPnR8lviAvyB6Jmbf+/LhriAiTr7sx4rbtNltVmzrVzXXUeNmvX7/QjBkzvACQmJioBgwY4Dt48OBx/2GVUvjf//6XdN1111UCQFxcnDr77LPrHQ5H2PmWkpKSjl7r8XhaHRd37Nhhz83NDWRlZRkAcPrpp9e+/vrrMi4KcQqTAJAQAgA81YFQoL2NGIpR6PGbu2s82FvjbVPOnJQIkl02ZUpGIpYWV0HXCLlx7qgkwKTjfulZ6isq9a8e/2eLW/W/evyfmZ7KqqiNB+Xl5fpnn32WcO6559Ye+/rOnTtthw8ftl144YVHXw8Gg9qIESOGjh49esjzzz+fEOmznnvuuYTc3Nzhl19+ef6//vWv/ce+d/rpp+cPHz586MMPP5zS+Fp+fr7vpZdeSgCAF154Iam4uLhtP1kJIU5p5f7g4fa2EQyFtAPv/Zf3v/tf46tX/9umNqqKC9o19qRmpKFyzETop59N47793ajlsqN2JMjurjprvNyxY4dt69atrtmzZ9cf+/onn3wSk5KSEho5cmS75mM//vGPszMyMka98cYbyX/605+O7nA9fPiwbejQocMmTpw4+OOPP44BgGHDhgX27Nnj2LFjhy0UCuG9995LLCwslHFRiFOYBICEELDr2vU/Gtm/TXtv1pRWY2FhBRYVVmBkcpyR5XboA+PdjbtmIlYZCGF5cRWvLW06qXNrFhVW4sycFATM6BUoUQxGD00Cvfy5lxNPXMk8Ucjn05Y/93JUVvxCoRAuu+yyvJtuuqlk2LBhx+2aevbZZ5POO++8Kovl681mu3fv3rh58+ZtL7/88t5f/OIXOVu2bImoDNy1115bvW/fvi2vvPLK7nvvvfdo3qElS5Zs37p167ZPP/1011NPPZX20UcfxQDAf/7zn/1PPvlk6vDhw4fW1dVpVqtVMpkKIY5DRBnXD825vC33HvT4sdCjsNAPuMeMRZ+URMpJTbQg1Lac0rrdgVVlPl5W6oPPDLPSwjFWbt+L/Lx+vN8bQkJKWtTyvplK9cgxsSWdMV7W1NRol1122YA//OEPh47drQM0LEpcfvnl7d4h+/jjjxcUFxdvvOKKKyr+9Kc/pQFA3759Q/v27du4bdu2rX/5y18Ofec738mrrKzUUlNTzUceeeTAlVdemTdx4sQhffv2Dei6LuOiEKcwyQEkhMDsrKSb+se53JHeVx8yeHxawrGrgEe/U0JKtWl1cHpmEgBQJEmpFxRWIM5qQYzVgolp8aZGpNuaqX5b5Q+qnTUejUCsEWhCWkKr7XNDudseOdmtKSoOa0tVuNe1Zt68ef3z8vL89957b+mJ77311ltJjz322IFjX+vfv38IAIYNGxacMmVK3cqVK13Dhw+PePXz3HPPrf/e975nLyoqsmRmZhqN7WZnZxvnn39+9bJly9znnntu/dixY/1LlizZBQAbN260f/rppwlt+qBCiFOWRrjoxmE5bfohuLTvAMyePePkN9pYNX3G3NMBgA4ePMjOw+vCWrhduX0vTNNEv/QUZCTFq8RYtxYqqUZzm3bmL1oMt8ulPF6vNmdmE31vgmpDMKq76+jxMhAI0Pnnnz/gyiuvrLzuuuuqj30vFArh448/Tly5cmWbcuI15frrr688//zz8x955JFCp9PJTqfTBICZM2d6+/btG9i8ebNj1qxZ3nnz5tXMmzevBgAefvjhFF2PWpxQCNENyQ4gIQQGxrtHteW+ndWeZoM8CfaoxBNa70NVPU9NT+SxqfHIT3DDYWmYudQbJ8dr6kMGH/b4tcnpiZiUnkDpTrsKp3S9wUzooQHz+MyMsJadw72uJbfeemtWbW2tfmzS50YbNmyw19bW6qeffvrRxKFlZWW6z+cjACgqKrKsXr06ZtSoUT4AuOWWW7Kfe+65hJaet3nzZrs68t9v8eLFrlAoROnp6UZtba1WVdWwRb+2tlb76quv4hrbLSgosACAaZr4zW9+k3nDDTecFKgSQvRumS7H7FSn3dX6lScbOGJY029YI9rceBIiCivgYpgmxzodmDo8H1kpieiblqwBQGaso8mERPMXLcacmTMwcfw4bc7MGdi8dVtYgS/DNE65I2AdOV4qpfCNb3yj36BBg/z33XdfyYnvv/vuu3F5eXn+AQMGhNX2pZde2v+rr7466f/RTZs2Hf0f7fXXX08YMGCADwAKCwsthtHwv8DWrVtt+/fvtw8ePDgAfD0ulpWV6U8//XTazTffXBbp5xNC9Bw98gcaIUT0EFHMbybmt+m7IDfOBVMx9CZ22yTYrGEvIW0sr0V1MAQLEaY17ACC06KFVT2lyBegQYkxTb/n8Zsl3gDVBA3NqhGPSI7lkclxRzubE+vUir1+VRdsSD3NYDADDEDx17+vDYU0AKnhfp7uZMq136x6954Hclra1m51OtWUa7/ZroSee/bssT7++OOZubm5/uHDhw8DgJtuuqn0pz/9aTkAPPvss8kXX3xxZWPSZgBYv36945ZbbulHRGBm3H777cXjx4/3A8DWrVudl156aXVLz3z55ZcTX3311WSLxcIOh0M9//zzezVNw+HDhy2XXnrpQAAwTZMuv/zyiiuuuKIWAP7zn/8k/fvf/04DgPPOO6/q1ltvDX+rmRCiV8hw2XPaeu/eLdsxfta0k163OMOPJ1VWValNm7dopGkYnJ/P6WmpVHDwgJYVRshlX3EZD+138pUum1WrrKpCWXmFWVpapoOA9LRUNWfmjOPGhtz+/XjX7j2qcTwEN5yBVkpBKQUwQzFTbW1tWFWpepKOHC8/++yzmHfeeSc5Pz/f11jm/f777y+4+uqrawDg5ZdfTrryyitPOv6VnZ09sr6+Xg+FQvTJJ58kfPjhhzvHjx/v37ZtmysnJ+ekYNEdd9zRZ+/evQ4i4j59+gT//e9/HwCATz/9NObBBx/M1nWddV3nRx999EB6eroJAD/4wQ9ytm7d6gKAu+66q3DUqFHtzgkphOi+iFmOeQrRmxFR/C0j+lU/OnN4m+5fW1qDcWnxx79WVoMRSbHQiKCY2W+aym+aHDQZpmKYAAyloBRIgZHssCLd5dBDSvGqkmpiAP1inKpPrLPFAJDJjCp/yExx2o4GmwrqfWp3jVfTCJiZldymz3SiqkDIm/afz37CzP+KSoNRsmHDhv2jR48ub+26xqomzb1/1s9vL4hWKfhomTFjRv7ixYt3ddXzN2zYkDJ69Oj+XfV8IUTXGZIYM3/tVTNn2HQt4rMwS+pCmHHdt497rbLOg5rs4eg/ZDgDQDAYZK/Pr4IBP0KGCaUUDMOAaZpkKhMWixWD8wfqALBuw0Z4vV6uO7SHzuzT9GLHsRZu3I5Zo74u2B402VxZGdLZ4cbw8ZOQmpLSwt3hu/iqb2549/0Px0SlsU5wKo2XlZWV2re+9a3+H3300d7Wr44eGReFODXIDiAhejlmrpmW0fb8v54mjlp5DRM2vTF2Q2TTNT0OrR8Js2oaTctMQk0gpOLt1maDPyGleHuVh+uDhjY1M/HoBP1wnQ8hZm12dnQCP42MhnxG7a/n20UaJ6tfPf7PzGNXNq1Op5r74+8XdfVktildGfwRQvRuu2o8RYUev9Y/LvJTYMObOOl1qLJWjTt7tIYj1SQtFgu5XK6w0jCMHT0KAGh16b4Wr9tfVKYOllVoU4fnc+NzfIZSa/xOffbFl0TyEcJiGGaPzIvXmp4wXiYlJanODv4IIU4dEgASQmBVac29tUHj7jibxRHpvclNlG2Ps1m4NhBScfbwj4Eda2NFnaZr1Jh9mQCAueE3DovGA+PdPDI59rjJc9BUsOiEPq6Wd6UX1PvN3TUe3aJRk9sfj7x43Pb56kDICWBQWz5Ld3HZQw8Un33XT0qXP/dyYk1RsTU+MyM05dpvVrmTEk+5RJ5CCNEeinH3hwdKL795ZP+Ik9nFWi3Yt2svcvPzjr42JCsFW1Yt4+ETp7Ypb05Nba3yxWdoywKKWSkATMxAze7NSLIwctKSzL7pKXr/zFTgmPFrjc+uzT77nBbbDvr9vOz9N4m8tWgYaU/QkDi6YRw++i+grqw4qy2fpSeQ8VIIcSqTAJAQAgbzpgN1Xh6ZHBfxvRaNEDQV245JBDQqOY721Hg0m66xw6JHPOEdnOBWaS770dVSoCGBs03T6MhzjmvTb5hcEzQow9Vy/GpFcRWPT4vXsmMcOLGNllT4gx4APX5HijspUZ1++82S80YIIVrAzPt+MjqvTZUMFDN8dfXHvWa3WrU8byFvWDKfR0+fE/GYuH7DRm32nLnACePWsqLdmDQgGwBOWmxZ4nVi5pln8In3HKv40AHlW/slZmQlERBzUvstibXS4XCv7YlkvBRCnKqkCpgQAgC++tO6vREn/QspxfVBE7YmskAPiHeT1zB5T41HLSqswL5ab9gJx+pD5knXxlgtVOINNLn6tqWyntNdzVdYCSmlFhZUYHJGIlm0ZurDt0BvqJ3bHeuiKtVwPE1E0ZG/U1npFaIXe3lXwXP1ISOicVExY6XHxLBxJxfWtFktlBsoVcUfvaAWPPckFr37WtjtNjd4+jVbs/eMmzKdtRbGu5Wff8j61iXcNzWpTT8LaBR5fqQuJuNlO8i4KMSpQwJAQggwc81nh8qfLPMFfJHct6qkmk5MAH2sJIdNGxDv1mZmJaM2GH7JWKtGTU4sKwOhJtsItjCpqw8Z5vLiam1WO/IC6UQaEEYSo863uaysLF4mtdGjlKKysrJ4AJu7ui9CiK5T4gv+/rnth5uPsDRhXW3gpATQx3I77HpqfKw2Y2AWJiToKNy/t115dLQWKovFxLibHRdWfPoBxjqClBTrbnMQx6Jr3XFMbImMl20k46IQpxY5AiaEAACU+4MvLi+u/vGFuelh35PqtLe4vfxY1YGTqpU260CdDzmxJ+fyqQk2HQBSzVQzLPcFVG3IpJlZSWE/uykaoVvuADIM43vFxcVPFxcXj4AE9KNFAdhsGMb3urojQoiuw8zbv5mfffDmkegX7j0ee/hp9A5VVKv8WblhjSvxcU0fz87IHaTgKzjpu99Q3OSAxcxY8MI/MXNAJiI47dUkXetZO4BkvGwXGReFOIVIAEgI0WjbF4fLEUkAqD4U/q4encKfbGa5mz7OpUU4YT1U79fGpja/QylcWjc9AjZ+/PhSABd1dT+EEOJUNL+w4lMAN4Z7vR4KgZlBYYx36fGxYQ9oY0ePws5duzEof+BxryelZ5Jvxz522m3HtaWYm1ycWfzu60eCP+2nNbNTt7uS8VIIIRpIBFwI0cid5LBGtKXbqmkwm9l9c6K+sU4+VOcL6+K8eDf21XpgquMvb2pOXRc0VMA0T3rnQJ1XjUiKDTvvUFMWFlZgQUEFFhdV2gCcnNRBCCHEKSvdacuO5PrpsVYc3n8wrGttVl0tfvf18PuSnsZr1q0/bkw7vHvHScEfANhfUnHSa6ZpIs5f1a4xcd2u/ViwYRsWbNgGbyCQ0Z62hBBCdA3ZASSEAADkxjr/+sMR/SNK8DciORYby2vRP87JcTZri6uZfWOdFMkxsNw4N5YWVWJa5tfHt06cuS4uqsSIpFgMT4rjBQUVRARYiJDosDEzk/WE5NQB02S7fnJVsg3ltagOhNB4tQIQa9UxK6shb5ChlIlToAqYEEKI8Fg0be6/5ow8K9L7ePECrDqQh4lzZrR4nc1i0aelWbDq84954hnntLobKD4ujpRSUEpB0xrWb7MHDKL67Us4xukgANhbVMohw0T/jBRa8vzfgYR06DUlsOUMQs3h/ZiVm3H8mBgKsd168thd5/Wba3ft14kathEpBiy6htED+h591jMfL6oJ+y9FCCFEtyEBICEEACDZYRuWYLc0X0qrGaNS4rC5opZGJLe+eSjWauEdVfU0ODGm1WtDSnGm23HcxDTGqmNrZR2CpuLcOBfNaAgOaQBwQhWw4+4r8wVR6PFhRHIcLSqsxIk5gSwazNnZyc1uZ7domn7TsL53EtHnzLyy1c4LIYTo0UzmvOFJsRHfl+O2Y/+h8HYBAUB98cGwj4J5vN6jwR8ASMvuQztX1GNdZQCjZ5/Dxbteo2n5OQCAKQOObF5KzgbgAXJTj2tr4YZtmDA4jzcfPkxuh51zM1OP9mP9ngP67NFDmurC0Wu+efrUlKS4mHur6jy/ZQ5zK7AQQoguR/KdLYQAACIa8cMR/ZY/NnO4O9J715fVIN5uRW5c8xVJgIaKXGtKa3TmE45zHVllBANExBoBYKZhSbFIdHxdhKWg3o84mwVuq86bKupodErTiTEbrS6tRorDBoeuqQy3Qzv2dcXA6JQ4Xl5SRbOzwqsQ9uDqXaEHVu16XDH/LKwbhBBC9EhEZB2RFLtg/iVTxsbbreFndwYQNBW29RmI0VMmtJoPaFFZCIYrHhbHyYUPiAgEAmnEmkYUDIQwd/bM467ZtWk98keOwe5NG1Tt5mU0ul9msw88UFLOZdW1lBwXa/bLSNG1I30rKK9UuwtLtMlDBvKOQ0U0pG8W262WVgNTa3ft919wzyP7S6uqRzKz0dr1Qgghup4EgIQQRxHR+W+fO/61C/qntxzJOeJAnde06zpcFl3zGSbtrK7H9MwkaM1MeP2myVX+EE7c2dOchQUVaKp8e3UgZCbYrc3u2KkNGuw1DMpwNT9nV8xc6Q+qFKc9okSWD6/bgwdX7/5Rfch4IpL7hBBC9CxEFHvVwMz9L545NqxSkmX+EPsZZoxOmkMjbbWPMezcs5CSltrsPYtqrZhzznlh9WfLtu0YMigfun7ysLX6pSd5bP+sZsfWJZt3YsqwgaxrWrPXlFTWmOlJ8RGNie+t2Y57nnlz57YdO8czc30k9wohhOh8cgRMCHEUM3/gtOj/98Y54391dt/Uo9GTcl/QLPUFoBFBJ4CINJtG1CfGqTdW94qzWZDqtGFJURWmZSSy3kQUyKHrtL68AjtrPMiLc5k5Mc4WJ5qjU+PMrZV1+rATtuGbSrUYud5T46HWqn9pRBRp8KcuaKhL8zJocnriHzPdjgHF3sAdzBxR3iQhhBA9AzPXEdHcGKu+4snZI20akQYApmLe7jOVTg1nkHUwSgaN00d/8zvITM88Oreew4xdO3bAd2CDyol1NFl4xeKpxPxFi+FyOjFpwvgW+zN08CDsP3AQPp+Phw8betwYa9G0Jit/AUDIMDAgK63F4A8ARBr8AYCEtAws+eLT3MvnXbOKiOYwc0mkbQghhOg8EgASQhzHb6r/m/fZOvPP04b+Pj/eDROMWKtFD6ecukaEmVlJWFBQQbOb2LnjN0zVJ8ahjUyOw5KiSj0n5uQt78eKt1n1+CQrtlfVY8gxeYOMVnYuJtgtzU6E22NtWY02OzsZA+Ldrs8vnvz9yz5ak0tE32DmQLSfJYQQousx80YimsZW+5prLjgHZLEAAM256/7jgiWDG345btwhIgwaMgQ7iUiVb2tyd6xhdWLOzBmorq5Rfr8fDkfTgSIA0DQNebn9sWDR4pMa0oiaHRiXbtmN2aOHRH1M3FFQyjMuuQZWu8P68XtvDfj2d2/cQESzmXlHtJ8lhBAiOqQMvBDiOMzMNYHQHx5cs3sjCN5ZWckIJ/hzrLGp8ewJGSdNRteU1dDI5Ia8PSOSYs1wS8iHlMLiokosL64CABiKmw1eb6qoVblx7qhPdLdX1fPE9ISju30GJ8S45l8y5eyJafELiSgh2s8TQgjRPTDzuhe3H7r9S9OFWT+/j+fcdX9E9w8aPJhWlflOer3CFzInnHa2CQAJCfHa5m3bw2pv9swZWLl6DRYsWnz0NY2aXvQwleLBOZlmRB0OQ73Pr4IZA8lqbzjSbbNara88+5+022754Uoimh7t5wkhhIgOyQEkhGgSEVGczfK7lVdMv31AvLvlrTpNWFJUib6xzqPHvPbUeFSa045Ym+Vo4HlFcRUmZyS22pZq+KKiz1ypiE1MYL8/QJZQEJaAn12hICewoZLZ0GKJtaaqfLXXipIqHpcSz1ZdOylo7jXM4FWfrC355GDZpcy8JqoPFkII0W0Q0bjf3ffrZXff+TNb61cfb9++fapi43JtbGpDir3agKl22tO1ydO+jpWsWLWGJ08cH9YCRigUwvJVq0AgmKYJs6YcFjPEDpgcawEnO61ItOn6pn2HMHpA30i726KiyhoVzBuLvGEjm1xI/stjf/Pe9ev7fhMKhR6O6oOFEEK0mwSAhBDNIiLbGX1Stn504aQBbbl/YUE5NE1DfrzbTHednG9na2UdD0uKDWuyuwtWc9Bll7WYn8DrD/CWHXtpwp6NbenuSXbXeNTOKo92Xv+0Fq8r9wX4J4u30iu7i8Yx87qoPFwIIUS3ExMTc/+O9avuyM7KCqtYwrE8Hg9WfPUZsgYMNgcNHqxrJ6wphEIhPlxQgNz+/cMaF/fu3895LVxrmibKyysQ3DBfZcXYo7Lrf3GpH0MnTkdadp8Wr/vTPXfid0+9cGeNx/dnKRMvhBDdhxwBE0I0i5mDnx8uv+GtvcUn710PBxFmZCahqeAPAAxLiqWFBRVhNZWPkL7gs/ktXuNy2Gni6KEoYj0q290LPX4tztZ6qrQtlfX0/Jlj8avxAxdZNO3caDxbCCFE9+PxeH7301/c42nLvT6/X512wSUYMnToScEfALBareQPBEip8GoLVFVX08FDh5q9WNd1pKenYU/AGpX5fmFFNY897ZxWgz97t2w0bzt3Gj78/Z33Z6ck/oOIIk4uLYQQomNIAEgI0SJmXvDD+ZteKfcHI0503Fw5+GNNTE9AXdAIK2Azq64Ei5auarUK2G5XQrsmm9sq67C72sPTMhIVEVpduXQcOdX2m0mD3E/OHvGmw6Jf357nCyGE6J6YOfjam29f/fR/nwtGem9BQVGr1wwdPBhLl68Mq73xY8bg4OEC7XBhYYtjaFreoHYtiijFWOu3I27aBcpms7c6JpYeOkC6pmHy0AGu+Y/c8+2hfbPeIyJHa/cJIYToeBIAEkK0qjIQ+tHcd5bPL/L4/ZHcNzwxxlxZUt3iNU6Ljp3V9WEnbR5ZtK/V3eTxuf1PWhH1hIywllSrAiG26xoPTHCTpakl2qaeZ7Me7dD1Q3Ocb5wz7okUp+1+ojAiYEIIIXoUZv7qJz//5a0vvvJaRLtjR48aoS1cvKTV6zRdC/vI1IypU1BUVNziosew4cP1Ml/ouCCQxx8Ib5sRgCWFtZh42jmIT07WgdYXRSaecY52oLTSBIDcjFTX/EfumTtl6MAlRHRyeVAhhBCdSnIACSHCQkTWbLfj3z8bk3vlj0b2t4cb3AgpxZX+kGruGBgAfHawDEkOG49MjsWKkipKsNuUhcDl/qDu0HWAgIlpCQCAZdY4TLuw5VNWplI4/NqrCHh9HFSKAMbQxFhU+INqW2W9Nj0zifUj25Pqg4baXeNBXcjQ4m1WlRfvQoz160TVi4sqMSOz9aTSG8treVRK3NG/k80Vdd7LP17z3t5a77XMHGq1ASGEED2K0+H41pWXX/r4Yw8/5EiIjw+7WMKCxUswe0bzhbIOHT6sDhw6rE0YO5bXrl9PdrudU1OS+cDBQ5qm6TBM4+j9xSUlrGkap6WmtrhgMf+d15GreVS9P6iVwYGZl38Lfq9HbVq6QOtrVqv0hDgNaBg/dxWVm2V+pcf3G6gS0zPRf/Cwo237fH52Oh2tjv8L3nwJMzLdR//sD4aC3/6/J8vfWbJmFjPvafUvSQghRIeQAJAQIiJENOq6IX0WPj13VNi14RcVVmBKRiJbNa3JSePCggrMyEpCiTdgZrodJwWKFhZWYFZWw8Lhin5DMXncSG4tALXqzXcwgZo+tVbi9ZsF9QFKd9k51WnTbPrX/fIbJq8rr0XQVAQAftPE2X1bTgINAMtLqjAl/fiKZkUev/eSj1avWVtWez4z17XaiBBCiB6FiNwjhg1974sP/zclLTUlrMTQe/ftZ5vdRn2yspp8f9uOHWro4MFaQWGhmZ2VddKYuH3nTjVk0CANABYvW45RI4aruNjYFgNAi5Ysxczp05p8L+j386blizguKZnTsnIQn5J69JnMjO1rV6ribRs0aDosIT9mXndLq5/RU1eLwPIPVbzbebRfSin1o8efq/3X+1+dxcyrWm1ECCFE1LWe3VQIIY7BzBstGl1/w9Ccl6dmJNrDuWdmVjJ2VXsoP8Hd5Pt9Yp2mRqQ3Ffw5Uf9921GVn8dJcTEtBoBsOplQaLK9dJdDT3c1pCPYUlmrqgMGJdqtyqZr3D/WqU3NSDza9qaKWhyq8yEntuXF3UATJ8wy3Q7XFxdPmXTFx2vXENEcZi5s7fMJIYToOZjZQ0SX3P9/fyh84pHwqp7n5fan+YsWo7kAUElpmTZ08GA0FfxpQEdXb6dMnMArV6/Rpk2Z3MpTmx8ybQ4HjZ9zJgFA0YF95rqvPka2HmRfyFQ5SXE0yO3UBuWlAwCChsGrv/yEJpx2dotPKy04ZPZ1O4/rv6Zp2t9v+05CTmrSfIuuf9Mwzfda6bQQQogokxxAQoiImYx3f7tq1+FI7inzN58vs7De32Lg59hpa5VmVUlxMa1+d2ktzXYBFNT7eUlRJYYkxmrTM5MwLClWGxjv1i3H7FKqDoTM2qCBmmAIK0uqj064fYapFhdVorGCWbHXzzHWpj9CjNVif//8Cbnz8rM2ENHI1vothBCiZ2Hmuv8+/+JDpaVl3nDvGT1yBNfW1ja5DX/o4EGmx+NpNnGzaX79lsVioeysrHZv5/fW1ZpfvfIMjI0LaWZ2HPIyUmh4Troed8wOnlAgyNvXbEDw5X/iyztuQsjrObryseGd19RXd9yE6qIC0+epNw9sWtvsuP7LeRe5/nvXTa/EuZ23trffQgghIiM7gIQQEWNm1TfWGTpU70NOTHhpD8Ykx5kbK2r1UclxJ703NTMR5b6AmeJsOk8QHRPLqbQ5wwpcEzefqFIxQzFjegu5fVaWVPOYlDjtmGtoUWEl7Dohw+XAjMwkFHsDpqlY31fro6kZic22ZdE0y7NnjEnJdDuWEtH5zLwwnM8ghBCiZ/D6fMs++eJL1zXfvBoAoJRCS3UEEhMSaP6ixZgzc8ZJ76Wnpekt5QlSpnl0UKytreX0tNRW+8fccs7nFe++qs/KSwOaWRyuLKswaz/+gEa67RriHQDqsftn34HntEsQWPAhT3KwBgCbVy3Tg04nZmafPNYf65unTXXmpCb9PiMpvm9JVe2drVZ3EEIIERWSA0gI0SaJduu3bbr21D9mj3SMT4vnfbVempqRyFoLuXk2lNVgdOrXqYM2V9Sh4sjOoIHxLpUd03RwZ1FhBVwWC2py83H62XPD6t+Wt981h/HJO4v21nhUsTegTWsh+FPpD5oGM9KaCUgda0VJFYYnxXKM1RJWUuwnNu333bl023eDpnolnOuFEEJ0f0SUExPjnn/rD3+Q94Mbvwu/zw+3221mZWa0OI6UlZVzamoKAUAgEORlK1cSALicTkyaML7Je3bv3WdWVVVpfn+ARo0czvFxca2OPwsXL8GsJgJKtVWVas2n/9MmprmU025rcgxmZix97gVMi7W19hhUBQzeMmISzRyZ3+q1ALDjUJHnknsf/XjX4eJ5zNz8VmEhhBBRIQEgIUSbEZHr3L6pnvfOnwgAWFVSzaNT4timN73sWeTxI9Vpg+XI24sKKzAzK/yqsGVzz1FpifHNLqkq08T65SuVb9duTQv4MSX16xXI5cVVTABNbmGnDgCYinlTZR3GpLQ+oQaAYq9fpTntmhZBxff39pX4vvfVxt9XBUIPyqqnEEKcOpwOx55Du7bmpiQnU1l5uaqrq0Nebm6z49b6jZswZlTD6eDComIkJsTD6QxvZ+2CRYsxu4kdRMc6cPCQue/AAT0QCODsM04/+vruTevVoY2rtMl9ktjeygLGovc+xAwj/DoGG4dNwOghA8K+vqSqxnfpvX/dvHL7nnOYuTLsG4UQQkRMjoAJIdrDDCnGxwdLcU7fNExMT6CN5bVId9lUustx0oQ30+3AgsIKzD4S9NEjCJoAADfAohdeBoPQZ8J401tfT1Xbt2sA0A+GGuu2a4izYWmRB0DDca+lRVWYkZUU1sOWFFXSrOzwg1IZLoe2uLASM7JaLxXf6KLcdOensZN/ccXHawYS0Q3MbIR9sxBCiG4rLj4u79kXX8bPbv0RUlNSNLvdrtasW8/jx45pcgxyub4O9iQlJcKit7rx9KjG1YO1GzbAbrND1zS2WC3qcEGhTgBiYmJ4/Ngxer++OfD6fMrvD2h2uw1rvvoMwy11lJubBrSSL6/w0GE1KVBD0Juu4tkUtW0zEEEAKD0x3vnFw78Y/Y3f/m3tkYIJ+8O+WQghREQkACSEaDNmDvSJcX5SHTDODplKWXVNG5USR4ZSWFlSBZ+h4LTomJSecPQeOu7+cJ8DrLa4eUJCnL5++SrMdB+ZIG9b1/Cbxj9DPxp0GpEcy3trPJTmsnO4wZ9ij9+ckpGooZUJ8YkS7NZILgcAjEmJc82/ZMoVF3+4OoeILmRmT8SNCCGE6FZKS8vmOuz2r5YuX4FpUyYjLjZWGz92DHbv3asOFxRqAI7L+2OaX+fm2bptO8aNGR3Wc/YdOGCmp6WR3+9HanKKltMnG2gYu/SBeXmNlx0dy1xOp/b5q89hQrKdR9isbLVYWs2nx8wo+fwLyox3RDQm1jlckVwOAHDabba3Hrg95wePPLOWiE5n5nURNyKEEKJVUgVMCNEuftPcdlH/dLyxt/jo94lF02hSeiJmZydjVHKsub6shgHg3b3F8ARNrCypwrKiKo63fx2Drg8Zfr9hNnn+f1FMCiZdfAEBDO+OHWH1K85moZqgocLNzaOYUegN6LYIVjkb5cQ6sLO6noNmy0k2T9Qnxun68uIpU2dkJi4notazeAohhOjuajIzMtThgkIEAoGjyxwD8/K0OTNnYM7MGVi4eAkAoLyigpcsW44Vq1Zj2cpV7Pf7jzYSMgyjurrG19QDDhcUmlkZGdrQwYO0TVu2NQZ/WuVIy0asy0FWix7W/H/JB59gTITBHwCY6avEgq+WwB+MLKWPrmnaUz+7IfGX8y5cZNH1MyN9rhBCiNZJAEgI0WZEpJ/bN+17LquO2VlJOFB38lzVYdF1p0XnmW8tPfCNT9fdfM0X6x/cVeP1Tc1MpBFHKoIFTWUMfWmB8ciGfSdlmCyo9ytOSUNlbb35yevvYVpc60koG9WHzLC/45YXV2HcMQmqIxFvsyIvzoUD9T7sq/XCUOGn9Ym3Wx0fXzh58BUDMjYS0ZA2dUAIIUS3kJ6Weu25Z53BV11+KdZt2Nhk8GTGtKn43s23BsZMmfm3G2+59VuPPvFkyaTx43jalMlHr7n1p3fSjDPPOSkZkFIKn33xla7rOq1YtRrDhgwKu28jx00wzTDHp5rKKh7jqWxzjrpZVYdR8r/3sHDRcgRDkZ1y/u31V7j/ftt177oc9pva+nwhhBBNkyNgQoj2OPOawdkxy4urMKWF5MqJdmtgZUn1H03mJwEgwW6NO1jnu7VPjANXDshUV3+yttaqoXRVSfWA7365wXrHmFx8WVyL9KR45Rg+QivfvR+eJYv1HeXVGDsoG+kue1idG5YUo8p9QUpx2lpcwaz0B9WohqTPEa90NrJoGuXHu1Ho8aM+aGBLVV2LZeaPZdc160tnjk3PcG1bQURnM/PytvZDCCFE1yAi2w3XXXP7hk2bMWXSREyZNLHJ6zRNw+GCgh2HCwpuPXLfeqvVsmXOzJmYPHG8Wr1mnfHiq6/PHzd2zFnf/eGPcP45Z6GqqhoZ6elmVXW1npKSjJdefQ0JCYnQNA0Tx48Lq3/x8fH64lIvpma4W712+7vv0aR4RwSf/mR9yUR86UEVfO+AttIejwlnnqYczVQaO9EN581x9s9IfSQtIS6nrKbuXimYIIQQ0SE7gIQQbTYowf3Ee/tKcOZ7KxZf89m6oip/qMnt6mvLa5wJduswIuqT5LC9MyYl7vLbR+ca38zPUn9ct1f766zhzr3XnD7ktXPGab8YN8C/qrSGC1nDFx6lbdlfiNzyAuysqOH9dT58fqgMq0qqw+pfssOm7aiqI1O1PHHcUe3Rwj0q1postwMJDiumZyZhS2Vd2BNWIqJHZgyL+93kwV9YNLo4Gn0RQgjReTRNuzwvtz/OvPCSA9NPP3vxF/MXeJu6zu/3hw4cPJhPRClpqamPZGdmPv2DG77r++6138aadRsoOTkJ1UUHz5z/8ft46Lf3+Z12u9p34ABef+ttvd5Tj527dmPI4MH88GOPo6a2Ds88/0LYfQwkZmFfjb/F88or5y9Ce4M/jeKJNTcB04M1WPnlwoh+7jh93HDXxw/9/Kf9M1L+S0SRJ9sTQghxEikDL4RoMyKaC6CamdcRkXN8avyiJZdNG6trdNwkz2uY5tWfrNVXllTXfXzhpNixERy1qg2GDIeuw6Zrlud2HMa1g/tE1McKX1DtrPFoU5vYoVTpD2JTRR1mZiUhkjLu4VpRUsWT0xMjbviN3UW+m+ZvvKc2aDwS9U4JIYToEETUF8AkAG8yMyfEx9/x5YfvPTBu7JiTjnI98c+ncNudv1j923vvmXDXT29nTQsv/5xSCqVlZSojPV1bt2EjsrMyOS01NexxZsGiJRicP0CZmxZyhtt+UsmxpR9/jv4VRSrTGd5OnUis0mPUpIvPj7jdwooq78W/emTNut0Hzmfm8OvRCyGEOInsABJCtBkzf9VYqYOZfWvKaq77/oJN3ppACLXHHPpfXVqtf3Kw7NPfTx0SUfAHAOJsVotN1ywAMDQhJuKIta4RT81IxMLCipPeqwqEMCOzY4I/AGALc0J/oisGZjrfP3/Sg1lux1+JSL6nhRCiB2Dmg8z8RuNxpZra2r98/9afrN+2fQcfLig4ep3P51OPPvEkTp87e8Kdt9+KcIM/QMPxsYz0dA0ARgwbyk6nM7JxkYCMjAwtOGAC1QeN43YCGaEQ4osPoyOCPwAQDKPyWFOykhNdX/757kmnjR22mogyo90vIYToTeQHCyFE1DDzlme3H579va824qIPV1t8hhkCgBSHDZfkZZx1/6qdr33jk7X48nA5dlbXRxzMsbQhUtM4rZ6VlYxFhZXHvVfkCaANRb/ClhvrUivDPK52ommZia4vLp5yw6AE91tEFF7SIyGEEN0GM6vVa9fNvO6mHxZccvW3sGbdeu+R17UbrrsGCxctefq8y67EM8+/iKXLV0Tcvq7r5PcHIhrE6MgwmpuXp+2LzyV1zBHpres2YljcSZuVomZ6oBoLPpuPem/LR9CaEuty2D/4vzvyrpozeb0UTBBCiLaTAJAQIqqYee07+0q0JUVVKZPeWLJ4U0Wt3xMysa/WC0/IDL65t/jMEl8QfWOcVOTxRxQEqgtGVkkEAOiYvM5TMxJ5XVkNK2ZeWFiBGVnhJWlujakYhR4/lhVXocIXOJpyKMFh1SalJ2B9eW2bztrmJ7jdCy6ZetbEtPhFRNR8lm0hhBDdEjObK1evyVmzbr0244xzHvjr3/8RAICvFi5Cn+zs7372xVdD3n3/Q9+0KZOx4Eh5+HAdOlygYtzuyFYxjhmNxowdR8v9TgKANQuXct+92yMOzDRnYWEFVpRUozYYYk/o651Gs+pKsP6rBW36+cNq0S0v3P3D1FsvPWslEc2IVl+FEKI3kQCQECLquEHF9qr60y/5cM3rf9tyEPGZmQdTU5OHJ8e6/zQsMQYOi45ibyCiINDw5FhUBUIRBVPMY/KcWTSiwQkx/OnBMpqVlRzW/T7DbHFCvL/WY+6s8XCW24GpGYlIcNj05cVVKKz/eoXTVNzmbUYpTpvz84unjD6nb+paIurX1naEEEJ0HWZmn8/30M9+cc9l866/EaZhBlJTkjcnJyUtGDI43wkAUydN5I2bt4TdZp/sLG31unWR9QPHD6EzzzgbXxz2YHTpQYq3tX5EK2gq1UpdBSwpqsT0zCSenJ4At8VClYGQtr6s5uj7pNoeZ9KI6C83fyv24R988xOb1XJVmxsSQoheSgJAQogOw8x8sN73t9nnn4Uv/nJ330dv/vYQm2l4lhRV4tODZRibGo90l50qfAFjaVElQurkWWGRx28uKqzEqtJqVewJINFujSiYYip13EzVZdW1aZlJamtlXYsz0MN1Pj5c50OFP6gtKapEkcdvnnjNzqp6LvQE9KGJMUf7pBNhWmYSvKapFdT7GACMdibbd1l02zvnTsi5bkiftUQ0tl2NCSGE6DKGYXxIRKUfvfOGdfEXn4xSSi33eLx47a23AYBHjRiOuvp6tW3HTrV7z96TBg+vz6dWrFrNC5csRXlFJXKys9u9a+esq+Zh6ai5LV5TFzTMMm8Aa8pqtG1V9VhTWn1S38p8AbW4sBKT0hOUfuSsma4RcmKcGJYUy8uKqwAAWjsCQI1uv/wc10t33/xMfIzr50QdlMhPCCFOQZau7oAQ4pTnSXC7TAD6tOH5TrY7/Lcv3vr7h6YO+eWMrCTlsuhastNumea0Y3NFnTY40c3bKuu5OhDScmKcRm68y5LpdgCAtqOq3gRwUtWS4x4WMrg+ZGJ3jYdy41zQjz0DdkSczaLlxbnUhvIaHp0Sf9L7iworke12UF68CwDQJ8YJT8igBQUVIAKYAadFw6T0RBrUTD/smqZ213i1fbW+qBw10zXSn547KinH7Vhk0bTLDaU+aXejQgghOp3T6TCtVqsGABecd87Ff/vHv8YWl5SsGzF0qDZs6BDExsRoQwcPwoLFS5CX2x8HDx829x84qMfHxakRw4bS5IkTjo5bhwsKFVpY0DVNk8vKK1BaVkaGEWq2T3O/cxMWvOLG9NUfnPTexopa+EKmPjkjEamuoynpaFlxFYJKNRwrI2BCanzjeHdSf3QimLkDsNVTiyFnzgnr76k1l86c4MpOTfzNVfc/nkdEtzDzSQs1Qgghjidl4IUQHYqIYu+eMrR23sBM87PiGv3Or9b/wDDN/4xJidt1x5i8flfnZx291lDMIaXYadGbnMxurawzhyXFNhsAWlpUiZwYJ+fEOsNaDQyYSm2uqKPxaQ1BoEWFFegb60S/WFeEn/J4h+t9yqZrnOa06xvLa2EyIyfGqXZW12vTMtsfDPrPtkO+2xdvudUbMp9ud2NCCCE61cRx43Y99/Q/Bnq8XnXupVdsKC+vGJ+YkHDHd6751h//8offHXdtbW2tiouLazbAU1RUbGRmZjS5oHvw0CGUV1Ri3JjRYfdt4VuvY9qydwBm7K3xcFAx9Yt1stOit3mXjWLmVXHpmHLmXCqurObdhaU0sn+22n6wiCYOHUDtrcS5r7jMe/GvHlm49UDBZczsa1djQghxipMdQEKIDsXMdXeNGxAaHOuw7iivgWGaZcwcAtA/wW597KLc9O87LboNaMjRY9Gan2SqZuLV1YGQ2v51cCXsmaRd17TRKbG8srgKJoBYm6XdwZ9Cj19ZNeI0p10HgFEpcY1vaUmOROyt9aq8OFe7jt9+d2iOs2+M86/pLnteqS94D0skXwghegxfwL9m6JDBA/1+P9tt9tCR7/A/EdFXE8aOWTTv6isdjde2FPwBAE1vesxcsHgJxo0ezX1zciKKrsy67EosttmR8t5/UOUPUazN0u7gz0p3KqaeOZcAICMpgTKSEgBAmzxsIBZs2I7Zo9tX1Cs3I9W14JF75lz2m78uJ6IzmLmsXQ0KIcQpTHIACSE6FBHNyItzEQCMSYmDy6K/SUSpAFATND7ZX+cLe7WuqcSTNYGQqvAHMSW9bUWyLJpGo1LiUOELICfG2a5ASpHHrwjgdJejyV1KGhEK631R+d49IyfF9elFk2/Li3O9RETWaLQphBCiYxGRMzszcw4AOBwOfdjQwZMaK1ox8+q16zdEFGzR9ZOHmwWLl2D2jOmIjY1pU+BmxgUXYe/syzEyORY5MY42H6tSzFjhSsbUc05vth+DczLNOu/JOfYilRjrdnz80J1DL5k+fh0RDWhve0IIcaqSAJAQoqNN/mZ+NgCgb6wTu789J3j7qNzSvHj3cwAOb6msCzt4ofj4alqV/qAq9wcxIN7dpu+ykKl4cWElKgMhc0xqPCdEmGD6WCXegFLMnOluOvjTqH+si70hMyo7doYnxboWXDr14nGpcfOJKDYabQohhOhQCZdedEF64x/effVl45l/PjF/7qyZu4ho0IFDh4oiaUw/4cR0Y/CnrTZt2arWrt+gzvvWNdiblKPcVkubTgsoZix3JvK0c89scVzNSIrXt+8/HJWfR+xWq/W1e3+U+YMLT1tDRJOj0aYQQpxqJAAkhOhQGuDU6OvvmlSn3fan6UPx6wkDrxkQ53rnyc0H9ofblk3XuHEXUKkvoOpDRpuCP37DVAsLK1AdDKkZWUnIcjv0PjFOWllS1ebATE0ghOwYZ4vBn5Cp1Pq1B7Hi8+383sq9qPIH273qmeGyO7+4eMr42VlJK4kos73tCSGE6FAuu91+dKxxOh2W73z7W/rfHvnTwEsvumDH2++9/97+AwcD4Tbm8Xg0AFBKYfHSZdzW4M+69Rt54+YtauTwYdq4MaM1AAjOvbDNiyKL/YTp553d6v2ff7IY6uEX6L2H/oP1W3a39XFHaZqm/e3W6+Lv/85lX1p0/bx2NyiEEKcYSQIthOhQRJQ/NSPhgzfOGZ+d5rQfTbCzs6reJCI8vmm/7gkZeHL2SLbpGgGAqZgNZtiP/PlY+2q98IRMJNotZmsBlxN5Q6ZaXVatjUiKNZMctpPu3VFVrwYnxrQpMF7uC5gpR/L+NMVQzB8v3oXsisDRz1QaY+GpswdSnK39J7gCpmle/8VG/fU9Recws1QIE0KIboiItMH5A1++5647L77mm1cfLalVWVUV8vl8+ieff6k9//Kr+L/7fo2pkycdvc/v9yuL1apZTjjyFQwGsWbdBpjKxIypUyLuz+q169jldPKwoUOaHPv2/fpmM8dXHdFYCwALlR2zr7ikxWu+/HwZEp77sKG0JgDDorPtjm/TmOH5kT6uSc9+ugg/euy5p73+wI1RaVAIIU4BEgASQnQ4Isp78cwxG68amOU+9vVD9T5zS0Wd/uLOgtCMzCRrbpwLBjOGJ8WqfrFODQAMpdhvKjYUs8mMgKn0Yo8f49ISwn5+bTBkriuv1cemxJlxNmuLE9lVpdU8MS0h7FXPkFJqWVGVNis7udlrFDN/sGQ3+pT5T2q3NMaiQlZNSx6SBjQU0wUzgxv+QI1f0Qp85N0jCCAGiACNiPWGKir0+p6i4GMb95/FzAvC/QxCCCE615WXXbL99ReeHXzsa4Zh8rKVK+mrBQtRWVXNZ59xGhmGidSUFEyZNAFAw04ffyCgjJDBhmnAMAys37hZP+v0uWE/WymFlavXcFJSkho0cECLY+KyTz7iiZ89H9FOoA01Poz49rdgsTa/uDF/wSqOffrdk+p/1STHmSaRZvnm2eSIcTGDwYqPDn/MTEfHyKM/w9DRfxMBRMS6roMIdLCkHD998qVHiitrfiYFE4QQQqqACSE6x8EvD1cETwwAFXn8+jn90nBOv7QTZ4lHVyItmkYx2vE7gXZXe8J6aKU/aG6urNMnpSXQ7KxkAGh1FdNnmGFNdA3F7DNM3lvrbT34s3RPk8EfAEirNzSPldSgeDclO21t3W5/9L4pGYm2/rGuj2y6dl3QVK+3sT0hhBAdaMmyFZ8Hg8EBNpvt6Fx89dq1mDltKmZOmwo0U9FS0zS4nE4Nzq9f69e3Dzd3/bGUUli6fAX69+tnTpk0UUcYY+LgCZMZYQaA6kOGMhmUNHsOtRT8Wbh4Dcf8+70mOxxfUasDQJ0vgCmTRrV/TBw6ECPz+n7/kl8/kk1E3z5ShVQIIXotyQEkhOhwzGy8uafoGb9hBo99PcVhV21pLz/BrdaU1rR4zf5aLxwWXZ+VlQyHRQ/7u25wQozpM8wW+1UdCKn9tV6OtVm00V+XeT+JYsb7y/agT6mvxUlsjdvSnuDPSX48qr/zhTPHPpvssN1NdNICqxBCiC5WVFz81BvvvGsc+5o/EGjT93X+gAE0f9HiVq/btHkrZkybij7ZWWEf6UpKTtLWJ/VrdefMQmVH7NXf0hK+8S3qm9e/2esWL10H11PvQDuhqMNxiDBs1KCo7dYZ2jfLNf8v91wwaUjeIiJqW8lQIYQ4RUgASAjRKaqDxubaoHHcylu5P9im76BMt0MLKdXi5DDBboWVKOIJZLrLrq8qrW62XzWBkFnmC2JgQuvJpz/ccBA5JS0HfwDAETBhqDbFwpp1WV6G86MLJ93dJ8bxFBFFnL9BCCFEh9qx/8Ah27Ev2G225q5t0ZFdQa2Od4Fg2Lmlj5P+7R9yiLRm219o2lrN9wMA2/cchP1fb7OmWgj+AAAzSkoro7p4kZmc4Pri4V+OPXfSqLVElBPNtoUQoieRAJAQolM4dW1AstPmOva1VKcVqg1H8muDhkktbHc3FPPOag9bm0giHY5J6QmqoN5/UoWuuqChSr0Byg8j+AMA7sL6sJ6X5FO05KNt/PnOiKr/tmpcarz7q4unfHNYYsz7RORq/Q4hhBCdJHfYkEHeY1+YOH48Nm/Z2qbGWts9tGTZckwYN7ZNbef07autGDCxyfYXGlbMvvLSsNrZtWwDdFOFNS7XPfy8eu+h/0TQy9Y57Tbb2w/cnvOtM6atI6KRUW1cCCF6CAkACSE6xdjU+Cn6CceRMl0OLCmqiritjeW1+uSMpndxG4p5bVk1JqWHn8j5RA5d13bXeI7bNVMfNFShx4/8SKqEEYVd5j0uqMi6q4LbEhBrSf84l2v+pVNnz8xMWklE6VFtXAghRFuNHDl8+HFf+BaLjqKSElRX10Q0EHg8HjVr+rRm31+ybAWmTp4ETWv7tD/ntHOVecKJ4oUhC2ZfdVnYbZAl/M2odn9Q67N5L9Zv2RXV7bEWXdefvev7yXd/66JlFl0/O5ptCyFETyABICFEp9hYUbteHVOBY0FBBVaX1WBmVhIWF1bCjCDyMSI51jxU7zspuBJSSq0vr8Gk9MR2bx2fmZXECwsrUOkPmp6QoQ55/Ii0RLzdCG+ls5HPaVFaB6TsSbRbnZ9cOGnwZXkZ64koOvV1hRBCtMfOTVu2HpMAeh0WLlmK4UOHqpKyUuw/eDDsMdHtdmsLlyxt8r3FS5dh6uSJ7Qr+AMCAQYO07VfeylvjMhUALAxqmH315RG1oep9ET83Iz0l4nvC8cB3Lnf/4yfXv+2wWa/vkAcIIUQ3JWXghRCdgojyv5GftfTOMXkpgxNjYD8hL/PCwgrMymq+mtaJFhZUwKprSHPakOq0sUPXsbmyFuNS277zpykriqsQY7NgeFJsRPetL66Guewgawg/ohMi8KgLhsFh0TskcbNiVrcu2lL3zy0Hz2TmVR3xDCGEEK0jIj07K/ONlQu/vMQwTPTN6XPc+5u3blMDcnPhdDrCitxs27FT+fw+LSUpmQOBAOUPHIBFS5ZiZgs7g9qiqqoKKx95AKefPRuR1Bjw+gO85N6/c3JRRUSRqNobLsKcOZMi7me4Pl650XvNH/7xUFWd57dSJl4I0RtIAEgI0WmI6BuPzRz+8rz8LBVvt540CVxUWIGhibFmitPW6j7xUm9ApbnsGgDsqfGg0h/ExPT2Ffeo9AfNTZV1erLdZrqsOmIsGtJcjrD2rO+v8aKs3genzYJ920oQXxcyY4Mq4uTLhXlxSEmKweSc8INhkfrd6t3e367eeZWh+IMOe4gQQogWEVHClZddUvX9G67H6XNmn/T+tu07lKkURgwb2mrQJBQKKY/Hi4SEeM3r9fFXixbS+We374STaZq8dP6XZK2rUIl2YrdFQ5LdQnZL69uJgiFDbdy6W3O5ndj1wSLo9T7O2n4g4sWNwmH92D5mCM05cxqsERwhi8TaXfs9V9z32GsHSytuYmaj9TuEEKLnkgCQEKLTEJEG4Lv3Txr097vHD7Q2dU3QVGptWY2WHeNQOTHOsFYKK/xBdlt1cuiRTw4r/EFza2W9nuKwqpxYJ8e0cYa5ubQG/iUHUOmycKrXbPcOnqIEK+eP7oP8pJgO2Q30wo7Dvh8t3PKz+pDxZEe0L4QQonVENHzCuLEfLJ//eY6u602Oedt27FQ1NTU0ZVLTiZibsmrNWkwcPy7i/pimyWtWroAqOYhsl66yYlpfkGmKxxfAovv/AWKF1MKKtjRxnLo4N5uXzaXTTp/S7raacrC0wnvxrx5ZtmnfoYuZ2dMhDxFCiG5AAkBCiE6XYLfeseSyaQ8MToxxNndNuS9g7qv16RPTE8Jqs6Dez9kxjoiCJQfrfOywEKeFucW+OVvLa7F7ewlyyvztaeYkIY1U9eAk7awhWVFtt9HCwgrvtz9b/1SRN/BTZo5uHXohhBBhIaKBD/z67o2//sXPmx0TlVK8aOkymj5lClvCOCY8f9FizJk5I6J+mKbJK//3OialOdu18GCYJj5541Nkvr+kPc00qWBIX1x4z01RbxcAajxe/xX3Pbb/q/Xb5jJzcYc8RAghupgkgRZCdLqaoPHoNz9bt/JAnbfZjJApTrs+KiUOhZ7WgyqbKmoRafBnf42X1+0tpfYGfxbvL8XB9QVRD/4AgFWxZt1bFfXKYI1mZSW7vrh4yo2DE9xvEZG9Qx4ihBCiRcy8+4+P/PX25156JdDcNZqm0ewZ07Fk+fJWxzqlFPIHDIho4DAMg9+865c0Ir59Oehq6r346I/PdEjwBwCytx/Exm17OqTteLfL8eHv7xx45exJG4hoSIc8RAghupgEgIQQnY6ZjU0VdWec9s6KF9/YXeQLmsrYUF7rfXNPkfHI+r3BxuvsuoYKXxCl3sDRieyasmosLKxAdSCk/IapAqbJAVPBjDBIsnFHMfXdW4t1bShD3+j9dfvhXleC9LqOSxmQEFC0vaKuw9rPT3C75l8y9axJaQmLiCihwx4khBCiWXV19f/67g9uueKnv7jbU1Vd7S8qLvYvW7EyeNudv1BV1dVHF0smjhuHtRs2HL2vprbWXLRkGbZt38E+n0/5AwH2er1g5ogCOZtWreHctz/C58++2+bPsGnHXt5+2x85e+v+NrcRjgMrN3VY21aLbnnxnptTb730rJVEFNkWKiGE6AHkCJgQoksR0UQNOFMBhQD2Aqh/ZPqwJT8a1d/ReM22ynpUBYIYlBADv6lUn5jjd+1U+oPQNUK8rcm0QsfZV+1RWzYWUGx9SMUFlH44yY4LZw+KuN9ew8TGD7ayXaFDcvQc63CKgy+cmd+hz/EaZvDqT9YWfnywbDYzH+zIZwkhhGgaEaVrmnaFUsoOYBeApbNnzpg//+P3RwAAM8Pr9WLV2nUYPWIENm/d2mSlr2UrVmHq5ImtPi9kGPzBr+4n687dKm3DZs2wWjjvLz9FSkJcxGPOu4+9iJxV2yK9LWIhi66G/u0XiHOHlyewrR554yPf3f9+/bpgyHi9I58jhBCdydLVHRBC9G5HypEfV5K8X6zrxUvy0m/YX+fDuNR4LvMHyG3RUe4PYkhizEkTviSHDatLqzEuNR5aC2Vp91TVq6Il+zk7xBoAHQBSqwMImgq2pnNvNuvzVfuQ0wnBHwDIKveRN2Qol9XSYZNdl0W3vXPuhJwfLNi0nojOYOa1HfUsIYQQTWPmEgBPHPsaEf3gjbffXZyhhzAmlrm8zkPWlEHYumNHs2Xe83L78+69+zAwL7fZcSoUCqkPb7yZshctB46cCrCEDNq2ZTdmTo8sgfTSlRuRvWYHAx0/LloNU1u1bB1OPyO6Je5P9JMrznX2S099NjHWnVdd7/2jlIkXQpwK5AiYEKLbOVjvu++prQcxIzMJLotOE9ISVKLdpoYkxjR7z4S0BCwvbv44156qelW8ZD+7Q3xcRRO7AvZU1YfVr7qgweuLq7F4fykyS32dmjTZEzI7/Bm6RvpTc0cl/mrCwEUWTTunwx8ohBCiVcy85A9//GPR1BQrnHYb5aQkIlRTgelTJjd7T3paKtXU1LQc/PneDylr0ck5hap3h7cJ1FQK23YfxIatu1H77nylKdUpiyIAYPiaTZcUVZfNnOD86A933puTlvQkEXVMHXohhOhEcgRMCNEtTUxL4L/PHoGxqfEAAK9hqkN1PgxuYgdQo/qgYa4tq9EnpScoh+XrLT27q+pVyZL97Doh+NMoqEGpsZna1L4px72+r9qjdhZVawCgCusQ7zHYaUaWVyEaiuOtfO5pQzr1uc9sO+S7bfGWW70h8+nOfK4QQoiTEdEjH//hztvHD87lxBg3AcCiSoU5F1za4n1Ll6/knD7ZKqdP9tHxLxQKqQ9v+AFlLVnZ9LhChEPTR+Li71913MvVdR61bvVmjZVC/cotcJdVq8Sy6k5fTFaaxukP3Uo5GSmtXxwl+4rLvBf/6pGFWw8UXMbMzRawEEKI7k4CQEKIboeI6HtDc6qenDMy/tjXq/xBc3+dT28MCjWnwh80t1bW6VMyEnl/tZfLluxnp9F08KdRjZ24NsVF2TmJqKrzw1dUhz6VnbPC2JqABky8cAR0rXNjT58fKvde8/n6R8v9wV/J1nchhOg6qQlxjxa89tiPdU07LuCyqEbHmKkzzYSE+GbHONM0edmKlZQ/IM9MSEjQPr7hh8hatqrVAeXwhMGIHTUI8SmJOLR0PTKXbYbF7NTNr83y/+hKTJs8ulOfWVXn8V/y60d2Ltmy63RmLu/UhwshRJRIAEgI0e0QkfP3UwbX3TF2wEkTWsWMrZV1GJEc12o7B+q8vH3pfkrzdvzxqUj9raz542oMhqkAYphHZuhackYMPXzp+E7q3dc2V9R5L/94zbt7a73XMXOo0zsghBACs0cP+eLLP999WlPvLSoLYs7FV7baRjAY4nf+8CfKffblqPevvV6rrkNpqOmKmgywYiZmKGIoAohtFv2fb/6JHQ57p66MBIKh4Dd/9/ey95auncXMezvz2UIIEQ2SA0gI0R2NHJMS723qjYCpVEuJno/VL9ZFQ6b0V/VW6lYRIGaG06Rm/3GZGmJZQww03d3wD4X7maNtRHKsa/4lUy4ZkxL3BRHFdkknhBCiFyMiys1IHdHsBVY7fL7W89LZbFa6/J67uGDuzG63+lscDHHzYyJRjNIQy5oWA83ihqYTA4ZpdvrAaLdZbW/85seZN54/dw0RtV5mTQghuhmpAiaE6DYy3Y7fmoqdgxLcA+dkJzmbusZp0bVhSbFYVlQFt03HqFZ2AvWLd2k8M1cdXrzPdAdbPgYWbZv8AbWo3qsRCBo1lEZpnHVH+uVbVVTP3qBBLlvnf21nuh3OLy+eMumKT9asJqI5zFzU6Z0QQohehoim9EtP+Z1G9OK1Z810N3fdzATGri/foRJLPGaffV6Lbeq6Thf84zH+4KYfc9aCxZ0eQPlHRTUUMzSio6vQDAAKEVUQc4cU3nr7S1z77Qs6opst0jRNe/L27yTkpCbNt+j61YZpvt/pnRBCiDaSI2BCiG6BiAb/dvKg7XOykmHXtcDY1Hh7a/fsr/Vy/zhXWBPGfdUeVbBkH3dmEOijunpV6DGittPSjLPiyW9NiVZzEQspZVz/xYbKV3cXzWHmbV3WESGEOMUREU0fkb/r7ftvH/DmotW48fw5Yd23O2mwGjxkSKvjjmEY/MFNP0ZnB4H+WVylLKCojIs+nfCLx+9Ug/L7dtmJhhc+X+K75a/P/qze53+yq/oghBCRkB1AQojuIrPcF8SUjEQAaDX4AwCKw18xzE1wa5ieqwoW7zNPLAUfTR/V1XOZYRIBqDGU5gx/QbNVAb/Btf4g4hy2LjkPZtU0y/NnjEnNcjtWENEFzLywK/ohhBC9gBWMAd5A0Hfj+XOa3BHbFDohSXRzLBYLnf+vx/mDG2/hrIVLO2xM2eEPmit8Pp3QMFhrEezyaY3TZHi8/i5NZ/HtM6Y7c1KTHs5Iih9QUlV7pxRMEEJ0d5IDSAjRLTDz/AWFlRHdkxfv0laXVod9fW6CW8uc3p+8HZQT6JXqWi70GBQKMIKBhjw/0eQKMt39zrquSQZ0BBHRH6cNjX1kxrCPbbr2za7sixBCnKqYObhq574nquu9YQd/AKB069qwr7VYLHTev55A4YzJHRK02OEPmp9Xe9A4JgYCDA3RTWj3xJ2PwePxdWnQZfbooa4vHv7lD/P7ZLxBRGEtYAkhRFeRAJAQottIdtgiPlaU4rCpJREEjgYkxmjp0/trfkt0g0ArHUCAOj5Ts9fbPQpx/Whkf+fLZ439d7zdemdX90UIIU5FhmHuSE2I9Udyz+BYi9rxwStcVVUdVlDEarXQeU8/yYVTJrStk80oS0vhtf376w5Qhx67tjLjUGFply6MAMCQvlmuBX+559zxg3K/IqLWy5QKIUQXkQCQEKLbWFpc+bo3ZAYjuad/nEubnpWExREEgQYmxlCtM3onYA/nxOD7545ESkZsq1VY2ssVYPz5q23YW1HX4c9qzcW5Gc4Pzp94X5bb8ThRdHI6CCGEaKCYP/pwxYaIBqskp1UbmOikvQs/JKVUmEEgq2abNb1tnWxC+YA8nvTe63z6T3/Y4TtzNBD+9Ku/Y92GHV1++iotMc75xcO/GDd3zLBVRJTZpZ0RQohmyIRdCNFt+Ay1dFVZdZu2uEzLTOQVxVVhX0+IbKKoCKraqRtVLt2odOlGmVvn6pGp0Kbl4MIJuQCAuBibZrFpRkQNt8G+7eX486dbu8X395SMRNdXl0z57tDEmP8RUURHFYQQQjSPmXcv3ryzTWPKmFQ3lr/3GsINArGKfE2hLjPdrMrtZ1Tl9TMq8/qZRd+ZB3rmSUx/43lOSU3RYuLj4Oib1eGLFY5KD/525+NUXV3X5fl3YpwO+4e/vyNv3mlTNxLRiK7ujxBCnEiSQAshupNt26vqXbOzkiO+USOiCWkJvKKkiianJ7Z+Q4TTxIoYC591xtAWvzNvnTEYfwqalgM7KiJrvA2CNQFecbACk/smd/nW9wHxbtf8S6bMvfSjNcuJ6HRmLu/qPgkhxKmgpLJmN4A2BRImpzlp2Xuv8dSLrkKruaHbEDrJffZfeu6AvKbe0gBg9hmnER7/Pb188XWRNx4hOzM/8cSr9Ktf3djhz2qN1aJbnv3F95OzU5OWWXT9YsM0v+zqPgkhRKNusYIshBBHFOyt9bY5oKFrRONTE3hTRW2zU1nFjD1VHrYZkS1KEoc3PSZQp6xA2plo4e6SLg/+NEpy2JyfXjR56MW56RuIaEBX90cIIU4F+4vLDrbn/ilpTlr0vzdbHJfKSkvN4MFDEbdNQKu7kzRN75TjygSiPWu3d8ajwkJE9PvvXRXz+I+vfd9hs13b1f0RQohGsgNICNGdqOe2F/zhgn7pP5mZldSmShoWjagqEMKG8lrUBEKw6BoGxrnMNJddX1pUicoqL7J3VFE8EFFiynDDOp2ZCeeMwRkK3SiQb9c162tnj8u4ddGWNUR0FjOv7Oo+CSFET7b9UNGDP3vypbl//uG8Nh+xTdEMFJeUYNfmTYjzlCGQ2g+Tpk7Dju3bUV5cCP37P9WzjcjrIoRzbEzTOr44QqP0gX0661Fhu+mCuc6ctKQnU+Jjcytq6x/o8kRFQoher9v84CCEEMzMZb7AL3+yeMsXnx8q97a1nfGpCRidEodZ2cmYlpGIqmBIq/QHVZ8Yp4pz2qLZ5eM89PkWHNjReaefPt9e3O2+wzUi7W+zRsQ/OHnwVxaNLu7q/gghRE/GzMv+/t7n1z782ochfzAUUZGERkOSXeTavoSnOT0YkeLC0FCJWr1iOQYPGQJnxWEELW0s1NVKbOez9z/il67uvCNZJbsOd8vgyrmTRrs+eejnd/bPSPkvEcniuxCiS3W7Hx6EEGJDRd2F576/8tKrPl5T4A2ZgUjvd1uPn8wOToihykAIZb6ANr1fKg6lOqLW12OZplJKodNWO7ftLlcHqzxRLWcfLXeNG+D67+ljXo6zWW/t6r4IIURPFgwZb/ziqVfzJ9/ym89WbNvTpsURt1U/Oja5LJo2MlTEi774DMpiAW7omFi9aRgw69t+rDtSjno/nnn2vW4ZBBozsJ97/l/uuWL0gL6fEVFMV/dHCNF7SQBICNHtMLNi5k/f3lcy8tKPVheGTNWmymDHGhjv1sanJaDcF+TE6kDEE0R/mqv1VTvqvK3uAOBSpL218VAbl2473jfys5zvnTfh99luxyNSJl4IIdqOmQ9s3nf4gqseePzf63cfaPMO2UYWTaNpTi/GprpRsXRDxPeXDR6o0rMyWxzzSNM6dUzUQLTof4u6TW68E/VJTXJ99Ze7p8wdM3Q1EWV0dX+EEL2TTMiFEN0WM1d9WVAx/Vcrdvij1abbprPV5IgmiEUDEnDBmH6tXufztml3fru47d17N/mMrCTXZxdPuWlQgvsNImpTXichhBANCsqrbrvuoX8tDBlGuxdGGnGEaxclo4arWa89D5fL1eICRFVxSbv61Ra6tXuPiXEup+PD39+Rd8WsSeuJaHBX90cI0ftIAEgI0a0xc9F/tx9+vNgbaPeKJwDEWC1ayqxclLn0sHYBlQ5OwnmjcsJq2zRUpx/HWrO7+1dcH5Tgds2/ZMo5E9PiFxJRYlf3Rwgheipm5i37D//kX+9/FbXxZs6Nl5mH544L69riieP49Jf+i5iYmFZ/hgj4fO3uW6T08lr2+yPf5duZrBaL9aVf3Zx266VnrSSiGV3dHyFE7yIBICFEt1cZCP3+1yt2qGgVzxiYGIOBk/txubP5xUtmRtWIFJw9LDvsdqmTj4ABgFkXjNrfS0dKddqdn188Zcw5fVPXEVHr26mEEEI0iZm3/+WNj9+u9fiisgsoPsatn33Nherw1BEtXlc4ezqf8/zT7HQ6wvr5QdM6/8cMHUT/+2BRpz83UhoR/eXmb8X9+QfzPrVZLVd1dX+EEL2HBICEEN0eM9f/d/vhuUNeWvDe3hqPJxpt5iW4tVlnDuGC/nEnvacA9ozLwGn5mdF4VIeyg7T7P97U1d0Ii8ui2945d0Kf64b0WUtEY7u6P0II0VMdKCm/Jecbt/3fY299GpUj0narVbvo5m+A77wGfoftpFWFgvPO5AueegJWqzX8nx06f00EAPDBM+932zxAJ7rt8rOdL95983/jY1x3dsUikhCi95EAkBCiR2Dm1XtrvVc8ve1Q1Oq423WNLhjbD2pKHxTkNgSCTIIKTcjEzP5pkfcRnVcB7FiF5R70hF1AAKBrpD89d1TSr8YPXGTRtLO7uj9CCNETMXNVvc9/39Mfzv8gmu2OHzUYWfd9n6uuPQ+1iTEmABRcegFf9NeHSdf1HhGgsIQMc9PW3aqr+xGuy2ZOcH78hzvv65OS+CQRddvCDkKIU4MEgIQQPQYzh5YXV++IdrvjMxNxwZh+OJDpgjkhS5uSk9K2Sa7iLplw2uoN1AVCPSMCdMRvJg1yPz5z+IcOi/6bru6LEEL0VFsPFCwsKK+Mys7YRv2z07XTz5wG+7fP0w9ffSkuefj31JbjXMowotmtsNkV9E8+WtKjfsaZNGSA64s/331dfnb6GikTL4ToSD3qy1EIIdaX1z61qrS6QzJLXjJlAPonxaA+ZHR6Muf28GoMnTq33G5bhAyF6vqAWVhZb6zdWwr3wRrtF4lJ9yVq+v/J1nchhGiTt//61qc6d8A20KmTRuGiC8Zj+afvt62BLvxazx/Uv8ueHS5WCnXVtarkYJG5e/MuXv3vtx0/dcaOHmG1rSeilK7unxDi1NS9ayUKIcQJ6kLG43PfWZ6x5soZtw1OjHFFu/04m0Ux0KO2YJNdj6gcPDMjaJgcCJkcMhX7gyb7ggaChkLAMCkYMhEyTAqETIQMRYahYJgmDEORMhnKVGDFgGKwYpBiBjM0BdaZoTPYwoAVYBuIbGjIVWRpCPLoQMNZuaEAhlqcGJyUetud1eX9ieg6Zo5aaWMhhDjVMfMhIprtstu+uu+6y6I+JgKAGQx0RLMdavq00Ywwj2UzM4yggVAwoAK+IAe8PvZ5/fB7/QgFAgh4AxT0BxD0+SnoD8DwB8kIBGEEgmQGQuCQARUywIYBGCZgmEyGApkmNKVYNxV0U7FNMVuZycaAHSAbkYZjFuPzj/z6j6S0nLurK9YT0Wxm3tMBfz1CiF6MekreCCGEaEREWobL/o8/TRtyY6bLAaKGWR4RMQHQiKA1/MqahiO/16ARoIEYxNBADdcRmEAgQuOftT01Xi031sk2TTu6E0gxo3E2aTJDKZACA9xwnwnW/vv5NtRX+01CQ4OEr2efRxZCCcf8mdD4IjdeQI33EDX026ppRPj62QSCRoCFCPqRz2qxaEhNcMLiMxCnYOgMWECkEUAMrYoVUjWNdRB0QNO74WabctP0/rSqbO12I3Q+M9d2dX+EEKInsej6WT+54uyPz500mhrGNAIRWNMaRg5No4YxkRrGPtI06KSxrh29FkQEXdMY1DBmEgG6piEYMi0YMgmuuESj8SgYM0OZJkjToEyz8R9i5ob2NA2fP/+yvunxpw0AR4ZEOmYQ/Hp/EB3517FjIqOhUlbj+0fGeFgIpBPAIACNYzmggaAfGRsZjOyBOYAvgPjqemVhKAtAGjeMq9vNkD5ctyoNgAUgSzfcgaqY1R9rq+re8nnOYuaVXd0fIcSpQwJAQogeiYjoqoGZZS+eOTa5I9r/8sMtnBhQ3W5S2BalpmGm6ZZuv6vJq1Tg59Xlh1YGA7OZubCr+yOEED2Jy277Y+nbf/+J02aL+g7//730PrI/Wh7tZrvEmoAf4+2Oru5GWP5bX+v9R33NN03m97q6L0KIU4PkABJC9EjMzPtqvesUd0ziZU2jHpUHqDklhqEcpHX74A8AuDTN/mhiav9zHK4NRDS8q/sjhBA9iS8YWr2noKRDzmt1w00ybeainvPjz3di4lz3xSe94tK0H3V1X4QQp4ae8w0ohBAnWFVac9cDq3ZpqgO2MtIpsjsy3WLR9oR6TlodC5Hl/vik5GvcscuJaE5X90cIIXqQN2974oWaitr6YNRbPkXGRACw9LBY1jlOt/PRxJSHUnT9L0Q9KHolhOiW5EtECNFjMfPa363ZPXXkKwvfu2PJ1qiWwTX51EmSn6RrXVKevq2IiH4cmxBzZ2zCh1aib3V1f4QQoidgZnPBhu3j87710z9d/cDfDheWV3mj13a0Wup6dapHDYkAgLE2h+sfSWk39dMtbxCRvav7I4TouSQHkBDilEBEE/86Y9iim0f2j8rEqKjebxqKafPqg8ioCfboYPmuUJDzrbYetubZYLHf57uvpvIPtax+2xFljoUQ4lRERNa5Y4Zu/eSPdw3QonB+q7beq+o8XrVx2QZL+ptfRaOLXWZd0I+xtp6RA+hE1cr0/bSqfOvmUPBMZq7q6v4IIXqeHv1DjRBCNGLmVX9ev/eF+pARlfwHmTEOPSfOqZlaeGVkuzM/c4/9DDMcTucTSal3Zer6f4ioR+QyEkKIrsbMoa/Wb7v+3SVrfNFoLy7GpWWnp1jssR1Sab5T2UA9djEhQdOdTyaljZxud6wjor5d3R8hRM8jASAhxCnjYL3/Z1d/srYwZKqoJb2J65dAqodvPGkoVt9zDbbaXP9ISrsqz2J5n4icXd0fIYToCZh58Y8ff+6pbQcKo3YUbPDIQahKiotWc11Co549JtqJbA8npPQ5z+FaS0Qjuro/QoieRQJAQohTBjPXfHqofMY1n6+vOVDni8qEd1ZuOrxjM6B68Hyx5/b8a5m6xfWvpPQ5Y632VUSU2tX9EUKInqC4suYnF9zz53cXb9oRMEyz3clvstOSMezXN6IqOT4a3esS1HM3xR6lE+n3JSQnf8cdu1wnOrOr+yOE6DkkB5AQ4pRDRGkaMG94cux5/5k7atqY1Hh3e9v8fEchFDPMgjrOqA31qNnjhmCAR9vsParPzQkxh35dXVH+ZcA3l5l3dHV/hBCiuyMiK4Bz+2ekXPntM6Zfet91l7V7TFyzcQcqDhXDX1yBPvPXRqGXnWdHMKgG22ynzCL4O956319qq2/1sXq6q/sihOj+JAAkhDhlERF9Z0ifiqfmjkqMVpvvrdjLOYWeHhVMWRcIYKz91Ckawsz8aF11/cve+vOZeVFX90cIIXqKWJfzTxXvPPkzXdOiMo6t37LLVH94tkflZ9sTCpoDrLYe1efWrAz4vb+uqXi8SqlfSsEEIURLTpnotxBCnIiZ+dVdhcoTMoLRajM+1U2H0hw9anLFp8QhsK8REf0kLjH2p7EJH1uJru7q/gghRE9R7/Pvee7TxVFbxEhKSqDDs8bA73KY0Wqzo1naXxSt25lkd7j+kZT2oxzd8hoR2bq6P0KI7ksCQEKIUxYRJXx/RL9kh65HbaVvdl46hg3NbHcehc50aoV/vvYNd6zrdwnJz8Ro2p0UhTLHQghxqhveP/unF00bF7X2+mamahfdeAW88a4eM9Rop9qqyBG5Fqv7qaS084darF8SUc9N0iSE6FASABJCnMquuWvsAL+uRbd8uNOmozDRxkUJNlXhtvSYVc9T0VyHy/lEUupv0jX9X1ImXgghmkdEqdedNXNAclxM1Nv25GVbigb3VcWDclR3j67op/ByQZKuO/+RlDZhqs2xnohyuro/QojuR3IACSFOWUQ048nZIz7/3rC+HZYAZ+mBMnauLe7W08m1AT/G2R1d3Y0OVWQa3p9WlS/dY4QuZuaolTwWQohTBRHZz588es+b99+WYYniztgTrbj+N2w1zG47LpaZhpGqWyxd3Y+OZDKbD9ZW1nzg885l5o1d3R8hRPchO4CEEKcsZl58x5Jt1/944eaaYm9A7a/11kX7GTaLjkqXbpbEduOdQN12Gh49DWXi02aMsdqWEVFKV/dHCCG6G2YOfLBiw6yzfv7Hzau27zX2FJb4QoZpRPs5NakJKO2fYfrdjqi3HQ2WXjAo6kT6b+KTk77jjl1iITqtq/sjhOg+ZAeQEOKUR0QpyQ7rHyr8oYKrB2be/t/Tx7gtUT4WVu4L4tDH3bMq+bqAH2NP8R1AjYLMoXuqK0oXBHxTmflQV/dHCCG6GyIil8P2M4umZw3KyZj6r598d9SoAX1d0X7O+7/9p8raeajbLTbXKWXGalqvOTL8prfe90ht1fUB5le7ui9CiK7X7b6UhRAi2pi5vNwX/B4z/+bV3UXnLCmq9IRz34byWiwtqgzrGb6QYYQ0QJ26OZd7BBuR9YGEpDQAV3V1X4QQojtiZvb4Ag/XeLw/Xb1j37S/vft5WGNieU2dWrBhO7yBYFjjnB4IUchm6XZj4qm//+d4l7tinDPtzge7uh9CiO5BAkBCiN6mtj5ktDr/W1xUiRHJsZiWmYR9NR61qqQaxV5/s9W/cuJclkkXj0RxXny3m1tyt+tRx7KBdDsoqav7IYQQ3R0zcyAYajUAVFhRZSqlaPboIQCABRu2YXdBSYtHn8998EeU/sAPu90I1O061Alcmhbb1X0QQnQPp3QCNCGEaEKfnBhnk4GcSn+Q99f5yGuY6B/rNPUjVaVy491abjzgN0xaU1qN/AQ3x9msTc4hHU5rR/a9TXQmRi+a8+pEmoXQO868CSFEOxAR3XbZWWlNvef1B8zCimq9pKoGuqbpU4YNBAC47DaaPXooAOi7C4pVrdevjcvv32T76SmJqrKbLTjbiLpVfzqDFbB1dR+EEN2DBICEEL2Ky6Jdn+K0xe+oqudiX4AsRGzRiCanJ2JTRR3Nzk5uvPSk/AAOi07j0xJQGwzxgsIK6uN2KKdF5yy34+trCd0u2ELU7Xbgd7i5Dtd3iOgVZl7V1X0RQohubNKI3D6ufUVl6nB5paZrGocMgyYPHaAKyqv0fukpGJid3uzNA7MzNFMpXr5tD7nsNnY7bCo3I1XTNI0AgLrVaNjASt2xVx1rst3hTNL1eypN83dd3RchRNeSAJAQoleZkZl0XrLDhiy3gwYnxgBHgjUriqt4eFIseUKGclstLa4Oxtms2uysZADQFDOWFlViSGKMSnLYNOpesR8AgIbetQMIAO6NT0qqMM3/Ahje1X0RQojuSiOafsa4EchJS9ZyM1OBI2NFYXklG6bCqh17MX3EoBbb0DWNpgwd0Hivvu1AofIFgxiX35+oW4aAAIOZLb0oEDTX4XLUKHXPkYWRPV3dHyFE1+l1WyCFEL2bxzBjNcJJeQsmZyRSic+P1oI/J9KIMC0zCSGleElRJbxQtC/ThVJ39ykwoveaKe7x5rlj+ztI+35X90MIIbqrxFj3kIq6+pNez0pJ0rNTElR2cmLEW0iH9svSRuXlYMGGbVi1fS/tmTIMh8YNjkp/o8VA7yuDfK7TredaLE8RUdQrvgkheg4pAy+E6FWIaOgvxw9Y88Ckwc6OesbmijqVF+dCUCneUlyt8+YS0x3kTo8IhZjZBGN3KEQjbPbOfny3sDrg9/2utvLjAtO8kplbTFgqhBC9DRFpI3P7LF3zj99O1DStQxaGF23cgWnD87nW61X1Xr++6YlXkbGvqCMe1SLzyCAQYiYAprsXlYJvVKuU/9fVFVXLgv7ZzLyrq/sjhOh8cgRMCNHbbK8NGB0cCGB2WXXdBR3T+6Xi/WqvXlUXVACDmMDEsPpNLb3OgEcp7DCCR4vHH3tWiwgggDUQNIA1AnQmaATWAFiIYAXYSgQrESwg0gGyEpGFiKxEZAVhkLX35n6cYHc4H4hPPu/GytLzAbzX1f0RQojuhJlVn9SkDZqmTe6oZxCBdV2jxNgYPTE2BsWXzkXBlysVjlmDZoD6bNhNJjN2WxjktoG0hgNkRHTk9wRNA+u6Bouuw2rR2GLRYNE0WHRiq0WH3aqzw6rDabPAZtHIatHJbtHIZtVJP5KX6KUPNmJokHpd8AcA4jTN8UhiSsa8iuKHAVzc1f0RQnQ+CQAJIXqbUXOykzv0u+/EEmMXjO4HnHDktiYQUqWeAJeV1+njtpS31Byd8GvEDGbVG6ueNBphtdkGWKy/hgSAhBDiJNOHD7q0M583cewwYOywk8aknfsOm4pZO2vdMkpqvngBNfP7sJHWS89FH6ER0Vy76wIiymDm4q7ujxCic/XaHwiEEL2WpcIf6tAAEHPrk9J4u1XLT4rRz8jPQK1d69AdSb0x18GxiIjOdLgmENGQru6LEEJ0N5X1HqMj2w831/Kg3D76kLwc2hyT0pHd6Z6lyTrZZa6YEAH3dnU/hBCdTwJAQohehZnXvLK7cFMHPyPsgItGBE9OXIduRQ/16vBPg6vdMYERVttz1IuqvgghRDg+X7P5gcKKqpMzQXeR/HGjTdWR41Yv3wEEAKm6br/OHXs9EeV2dV+EEJ1LAkBCiF6FiBxjU+K6VTmSKfnppknosOlub98BBABO0uzXuGOHQ8rCCyHEcQZmpc/KTEpwd3U/GmWlJuvrLa4TT1NHTW8/Atbopph4q5voB13dDyFE55IAkBCitzn/+qE5HZsEmiLLS5DksOmFaR1WlAxmGEfSegMnaSaA04l6Z/JPIYQ4ERE5Lpkx/pJutzsyL7/D+iMBoAYWIl0BY4gorav7IoToPBIAEkL0KlaNhme7Ha4OfUgb9tsMyE/tsF06tawk4AFgpNWmP5KY8tAIq20FEWV0dX+EEKIb6DMwO73blYocP3IIHYKlQxZrXK5u93G7zN8SU2dc4nTvJqJzu7ovQojOIQEgIUSvElL8eMYznz0w/c2lK5cVV3k74hlt2bc+PDVeK4vtmMluMIKcRKcyt6a5ptud9scSU4dd6nTvIKKrZTeQEKI3Y+bdt/3t+e+nX37Lf/782of+SHLYhSvCTbFH7U/J6pDvZ7fL1mHHy3qakTa76+74pNhfxyW+naDpfyGi1K7ukxCiY0kASAjRqzBzVdBUD6woqZo879N1r9YFDX/0n9G2+6z9EzvkO1m1o4T8qShG05y/jE+K+29y2tO5uuX1ru6PEEJ0JX8w9O/ymrob7nrq1bPfWLDSF/UHtHEEGjdxrPKBoh6ssVsl7n+iC10x9ldTMr5/jsO1k4g6uAybEKIrdWgpZCGE6M4Oe/w//+Xy7dePTI4NHq7363trvYdLvYGDPlN5gqYKWjRyjEqOG2vRKO6GoTnG2NT4sJJkchvzOc/ITcPK7eWmK8RRnZ0q2QDUpGFWe8ydcYnnEtFFzPxeV/dHCCG6EjMvnDQkb03INGfuLSpVRZU1ddsPFm5Riv2BUMhX6/HVjx+UO8PlsLvHD+rvuv6cWVZdaz2hjtbG9EIxToe20J6AmYGqNt3fHLfDKqNiE5J03XV3fKJlrxF6BsCFXd0fIUTHkACQEKLXYuZyIhoIIACgoLmt70Sk/3PLwcvz413zbhnZ/+L6kIlYqx749uBsvLq7SN9aWRd0Wy2un43J8yfarY5kR9vyC1h1jaqyY3XX/tp2fKqTyUS3eXYihx00EYAEgIQQvd6qHfsuvvYP/8wEsJOZjeauI6KRP3nihWtvuuC0W4b0zXIeLqswrj1rhr+m3qe9On+5LWgYoctnTaIZIwY5AqFQm3eh9hk9ysTKBVFdFEmNd3JpNBs8hQQZ5Cbt9K7uhxCi45CkhhBCiPARUR4APxqO0F4OYD4zbyCi2FSn7d5ZWUl3PDpjOGe47G2a8JZ4/ObhT3fqWhRPbW0IBni0rW39OZXtN0LemypKX6lmdQszR/0ooBBCnOqIKBFAFoA9AC5Dw5rDKwBI0+jKacPyX/zJlefoF08b3+ZnbHj7XTWK/VE7Ih00DN7yv20yJp7AZDZvrSorXBUMzGLm/V3dHyFEx5AAkBBCRBERxfSNcT7zzOmjLpyVlWxvSxv/W7yT+5QFojY53REMqsE2m+R8O0aNMgM/rizbvt0IjWNmSQgqhBAdRNe0a3/73Suevv3ys9lutUa8RXbF2s08af+WqAZsFr21wYwhTZIBHWEyq8fqqo2XvfVjmHlbV/dHCNFx5AcCIYSIImauP1jv+8bp76644Z7l231+wwxF2kZSTmJU+xSSQ2BHMTN/5vN6zyot/PN2IzRTgj9CCNGxTKWeu+ffr0889xd/2nOwpCLi6psTxgwjbxSTQZtKwYY2JiY6BZWbpv+K8qJlL3vrJ0rwR4hTnwSAhBAiypjZZOYX/7hu78g57yzfGen9VZXeqE5MA8zyXQ9gVyjo+3l1Rdk9NRVXKuZ7mLmuq/skhBC9ATNvWLhxx7j8a+/45+6Ckoi+ezfv3AejrdUVmrC7uMawEfX6cdHHKvjPuhrjorLCPxaY5tnMvLGr+ySE6HiSBFoIIToIM++x6trfDtb5/to31hn2tvfkQ3UKUQzQO4mi2l53YjLDz6z8zOxnRpAZQTAFmclgJiaAuaEK8WN11ZVbjVD/lhKbCiGE6BjM7Cei37++YMVtv5x3Udj31ezbiziKXnXMfYU1enq0GuuG/KyOjomBxnGRWTMAmEfGRWJgacBne85b35eZD3V1n4UQnUcCQEII0YEMxc/ftnjLk2+fO6HZaxQzf7LlMIXqg0yKkamie2Qry2Lp0WfA1gb9sILYCmIXETs0YjsROUgjO5HmJtLcYbTj9mgFEvwRQoiuw8xlaYnxe+adPi2/X3pKs9et37qL6/fuAQHoF/AwKHqLGFXl9dSTA0D7jBDXKRM6iJ1EcBIpB2mwE2kOIs1BmuYIYx/xdiPEACI+kieE6NkkACSEEB2ImT1WTZt50Qer/vvM6aOzkh0257Hvl/sC5spl+7XMmiCAo6W/onYE7IARMvtZrN0q0aU6smsnwMxBMAeYKcSMEEAGM5kAFPhowodMTVdZFquGdvy9fODzYHUw8HJUPoAQQog2K6uunXzWzx/6199v+855p48b7jr2PcWMhV8sxMyaYtK+HhGjNiYyM5K8hgnSu9W4GDgyJgYadu1wiJlCYDKYYQCkwKS4ocSajYhG2RzA12NixMGxWqXMZ+prdwKojOLHEEL0AFIFTAjR6xHRAA04TwH/bSkvzIB49z/dVr3Plsq6NxRjF4DtzFx+pI0UANXN7TAhImeGy/7boYkxZ13QP23o94f35d2VHmvVioOmOxS9re0nWhvwY5zd0eb7a5RpVimF0JHAjMkNgRkFJgbQOCEF0JBSkwELARYiZWGChcA2ENs0gpM0chBpVurc5JtrAv7Qb2oq/1JiGr/ozOcKIURPRESJmkZnK8W7mXl1c9fFOh2XD+vf58e7C4qXVdZ5/gegqjGJMBG5AFiZuaa5+3Vdu2Li4LybJw3Jm37bZWeHMpMTXFvf/xBj2N9hY8TWQ5VGYHVBmxfATWZ12DTYYMAAk8kMEyDVcKoK6siIyDjyAgANBCtBWUDQCbASsQ1gB2lwag07dqLw0cLmU8p/W1VZyfpQcAQz13fms4UQXU92AAkhejWbrs37xbgBL57RJwV/2bDvMSLKAVAHoB+AGf1inRNrAqHPqgKhl6wa9f/33FFnOS36rFJfgBYVVroS7dana4KG5/dTBt++rLgaRNSfmQ+c+Bxm9gG4AwCIKOc3K3f+6PSEuDsH+Jkn2x31/XSLe68Rqq9USt9lBO1Bhq7AmOeODThJa1M5+T2hINJ1y9H8P/uMkLICsIKUjYiKTUP3g0EAKwY5SFONO28aVxsdGunDrG16fLfJOVTDylqqzIiTcQshRG9DROnnTx5dfNvlZ2Phxh2wWiw/MkzzOQA6gG9ZdM2Zl5k2esehomuChmlcPWfy7OvPmTV92bbdt5RV17omDsnbsXrHvj9fNnPCv0fn9YXLYf+B1x/4Z1PPMk31BoA3iMj6xDufXztr2IBHZ7ko5lBKnOf8fmnucl/Qu62q3txeXe/yhExUB0L6lQMzPSOT48I59XuS0hov1m88bBl6zIaiXaEgx5JmWgjwM1tKTRMaHRkTNQIzWAEwAXDDuKiNb9uiSrcZE0OAXq5UpQR/hOidZAeQEKJXI6KhBMybmJYwqy5k9N1eVf+f20fnPjA4Ica4NC/dJCL7lDeWrN1b630QwOq/zRp+8PvD+x29f2+tF9ur6tHH7cDNCzfvW1FSPfxIsCfc58fbQd8ZZrX9cl0ocAuAAgDbAfgAOEdZbV89mZQ23EpkjeRz1SulHESa5chmmxplGgcMQx9ls/e60rflpqmuLC96sV6pa7u6L0II0Z0RkUMj+mn/jNQRKfExs3YeLv7b5CEDfj9j5CBcc+YMv0XX6C+vf2z/yxsf3QLg+XMmjlr2/v/9bHjj/d5A0FiwYZulb1oK/v3hfDz29qdTmHlFBM+3Axg9Jzv5f4sKK580mT8FsB9ALQBvrNVyz2cXTf7F+LR4V4sNNeHVd9djkPp6w+3agB+jbHZl6YUVwX5cWYrlgY7baSWE6L4kACSEEMcgooQ5WclrPrloUq525KiSzzDVr1bs0B7buN85JMH9zGUDMq7MjXMZ9SHT8tae4i2Liir/C6AQwMctbXdvY3+yrnPH7rklNqHVJcdD6Q7obhtI00AE1OypwGClw2RWm0MBbbSt7UfBerKVAX/gR1Vl32PmF7q6L0II0ZMQESW4XQ8v//t9PxyYlX40h91X67bizJ8/9K04l9O4cvak/4wb1N9q0TRauX2v/7nPFj8aMswCAF8w8+5o92dUcuwXK6+YMUvXqMXj07vdKaqo3zANugVkteHw54sxcP5S1omoSpnsIGJnJx+/6i7OKS1YWWGak7u6H0KIzicBICGEOAERjbl7/MDl907Mtx2q8/l+u3q3//39Jf+qDITuYWZ1ZIUyDUAAQBl38BdpnKY9+G5q1s9iNK3ZCI4JIHFOHg9IdB9d0WNmvLFgB1SpB4OsYVehP+XUKeW7oKzwIa9S93d1X4QQoqchIuvMkYPXv3X/bQM1jdSLny/VHnnz4/f2FZXdxcx7qWEHTSoajolVMrO/g/sz9Km5I9d+Z0hOi6sai0bOxdzrbjzutZUvvaqKf/2gBiOETEtEG2tPKXdWlR9YEPDldvT8RQjR/UgASAghmkBEo/vGOO84WO/7FMB70d7ZE2FfUn4YE3/4+pi4JpPxBHUojMvSJvdJbvL+95bvQU5R7670elNFycZ1wcDoru6HEEL0REQU3yc16d7K2vpqbyD4OjNv78r+TExL+GrZFdPnNPf+4oGTMf2Gm9lqtZ50zGn30uW855rvUVL0iov1OC94avFYXU06M5d2dV+EEJ2rV257FEKI1jDzhgN13muY+fmuDP4c6Uv5koBvTXPvl/eLbzb4AwAXTRmAHe7e/XWfb7WNol6Y50EIIaKBmWsOlVb8zOMP/Largz8AsLqs5tl9td4mq3YedCTwnB/chqaCPwAwcNoUSv79/croxavgY6x2A8Csru6HEKLzyWRYCCG6OSIaO9vhnNbUewENfPrw7FYnsVeeMRTbbIwQsxn9HnZvFaZpvu2tf4WZVVf3RQghRPsQEU3PTHwsJ8ZxNCeROiaWUzLrola39ky46nKtYt4VqG44Qd3r/L2+xgLgo67uhxCi80kASAghur+6OqVQYhoeAHjTU4f7qyvwzfJiPGZ6SNda38auaxrmnT8Ke+xoMWnmqcitERiQcrdCCHGK0ECHN1bUhQBgcVElLv94Nb792Tqc9r9VsCWlhtXGBQ/eR9af3NIrfxZyETEze7q6H0KIzic5gIQQogcgonFuonOn2h0Pbg0GCwqV+RMAKwFkX5aX8d7LZ41Naqxa1pLKOp+55VAV+beVIkXTe8XE97Bh1F9eXvQzxfyvru6LEEKI9iOiTABzZ2Ul/dymaaMXFlb8K6j4vwC29u/X980Fn3w4tW9On1ZLxQd9frVz/kJef///aYPLKnpNUqDrK0pWbw4GJnZ1P4QQnU8CQEII0YMQkQ5AHVu5g4jy5+VnLX1q7qh4m66FVdbkq02HkbC7qsP62Z3sNULGdeUlD/pZqoAJIcSphogszGwc++dhQwa/8+5rL88dOCCv1SAQAPg9HiweNVnF49TPFWcwmzdXllWtC/rD2yolhDilnPJfckIIcSphZvPEsq3MvOulXYUjp725dNF/th1CdSDUYskvw1Ds2VXeK/Lh+FkF/lBTtS8A/m1X90UIIUT0HRv8afzz1u07Lp44c+7/3fvb/8OKVatbXe1+64YfojcEfwDgGU+tsT4UOKer+yGE6BqyA0gIIU4R1HAE7KwxKXG/fPb00ROHJcU2ufL5+vztGFgV6uTedY0n6qr9z3rqcpm5uKv7IoQQonMR0Uin03n5X/7wu7t+8L3vOpq6Zs+SZWbJNTeStRdUitwTCvm+XVF8m8H8VFf3RQjRNSQAJIQQpxgiolSn7dc/GZ17151jB5wUBPr8zfVI1np+LmiTGR5m00fMAQIFCVrIphNZNLCuocY08edDRbv2B4KDurqvQgghuo7FYplz/jlnPfPKs89kOZ0O27HvvXD+pRi8fXdXdS2qvMzKqxEHdB1Bq5UCcTEa4uOhud2oMw18emA/3t6xI0YSQAvRe1m6ugNCCNHbENEkAHuZubyFa9wARgLYzszVkbR/5IjYAxZNW5nldrzzrUHZ9mPfVxrBz0oRoG0JBTHQYjPjtI6PCJnM7AerIIAgmIMECgEwNZDSiJSmEekE6ATdosPhsMBmtbDNprPLbmGX3cJxLjvinFZy2a2a3arTkZxIJ7lv5U78bs2+uwA83dGfSwghRNsRURaAdGZe18I1BGAUgHpm3hPpMwzDmE9E4+Zdf8OWt15+IYOOKZpgH5QP79adykKkbQ8FkKDpZl+LtcPHRMWMAKCCBA6SxkFdo5DFAtNqIdNqJWW3A3YbkcsJzeWCLSkR9oR4tsXGsispCa6kRI5NS+XYjHSKT0sje2yMplutTe5i2rN3n3/wmAlbTdO8SYI/QvRuEgASQohO1j/W+fr+Ot+PAbzX3DVuot/dF5902wc+L+xEDwSBvzFzWSTPMZT6ON1l//mHB0p/+fspQ+IqPQFXwbZizoJGoIYccONsDihmfV3QDxuIFQACoADSAZgAMwAGk2Lg2D2jRIDGYI0AHcQ6CDYC20Bs1wgO0kgHSAFkjE6nOQPSmw3YtICO/BOReYOy6363ZvduZq6M9F4hhBCdx2rRf9Q/PWUYgEtauGzcnWPzVic7bIi3Wf9XGzJ+BWDTiTnxWsLMVUR01unnXfT892+4fvClF1/o/PCOXyLn0y+VrmkaAIyyOQBAPxQKcS0rahz2GAABxACrI39mMDUm06MjvdAITCDoAFuo4VcbERxHxkUrGgJPZTOm6Fc8+xToyHMj0KYxcUBermPCuLFly1euWhPpvUKIU4scARNCiE5GRA4AgZYmrkSUO9Jqe2mY1TblUmcMFgV8oQ99no/2mcYlkUx4j7Sl94t1fnB//+yzh5UF2t3/tqgemcpzB2Z0WondO5duw6Mb9k1i5lWd9UwhhBCRO7Ibx8bMzQ5QRET58a5/jU6J+94tI/ujoN7ve2FnQfnHB8vOZuZtkT7TYrFc9NtbfvjuGa+9266+t1XRlAnqohef6bScQ5u2bPWMmzbrlVAo9L3OeqYQons65ZOdCSFEd8PM/taCOMy8b2MwMPVVb/03rYTa62LirLfHJVzgJPphG55nHqjzXXHv1v1fLAn4fG3veduFQmanBX8A4N4J+aFz+6Z+1pnPFEIIETlu0OLqBDPzzmrPjW/sKbZ+eKBUXZ2f5XzlrLGZI5Ji/0tEtpbubYphGO/97m9/v/+vtdUBk9lse+/bxuL1deoK/PChQ5wP//7BG4hoSmc+VwjR/UgASAghujdPiWlaAWCq3an9KCb+CSIaH2kjzFx/wAid8bOq8mvf8dZ3ehAoFOzc+XWszWLtF+uMp15Q1UUIIXoRvcIf8jEz3FaL5a1zx0/s43Y80paG6k3zvhe9dYPurC4v6OwgkLWmtlMDQJqmadMmT/ICyO3M5wohuh/JASSEEFFARFYAZwFYysxVUWz6/R9Vlf0glrRxVqLksTb7JQDaPFE1md9wkJaYZ7E+Ospmb7JMfEdQoU5fYMX/t3fnsXFVVxzHz503M57xFicO2aAFQiAiEAQlBBBNmoIoqkoLrURbRBEtKqh7SwVVBbQVhYLKqtINFJUWVCAtFZSwSlGJiEpZEiBksz1ex/Z4iR3bY3v2d9/pHw4NDUtImDfjjL8faf6JnHeO88+d/O599zRODXop6ckjAMCUvZsVeVXdXqxnqmrOGLPqyY6BK8YLbvpLixd8O2DMId/1pqrdxpjV90yMbbu2fnZ9sfo8kKqJiZKvTQvmz7fC5j8w4xEAAUARHD+r5nf3r1l+9VNdg7n51VU3DaZztxXjuXtfFXto76cosuqtPToYuuDBxvkX1gQCVQf+G0Xgenvv0Cyd7snMHi3D0X4AmOmMMSfd/Z3LttRFI+6KpYs3vR7r/KKqjhfj2Xunhb09Mez6Ijwv7hhz6ZnhyGOrItGSbIyEJ9MlD2KaWloCItJZ6roAphdSYAAogo7x9BOPtCZSn/34Ec5Fx86/1Rgzp9w9fZBu6155Q3LP5MFeKH3IrHfgnymyDT3DO0teFAAgIjKw/qXXd4ZDQf3ppReeGzDm8nI39EGs6rO/TI48OmxtSV6RdvJ5Y21p9yfWP/NcjYiwLgIzHFPAAKBIjDFVInKWiEyo6hvl7udAjDEnf7921quX19b7vuPZ1xj2Prd6aUk3HR5o6pFrX9q1bqJgnxSRhSKyXlXbS9kDAMxkxpiTRORIEXnxQBc9l5sxJnRqKLz5vjnzlgdKcH/csm2veDU1NSVbF0fHxgpLT10xMjQ0/AMR+ZiI7FLV50pVH8D0QAAEADPY7IBzyz+OWPjj+kAg6mednqNq5AtnLPazxLt4qnY4k7fD2Xz+6Lrqqss2vDn4THz3sarqlrQRAMBhwRiz7Pr62a9fXF0b8bPO2MIFcvbzT2htbW1JX43OZDJ267btqVNPWR7967q/u1d/74drVPW1UvYAoLx4BQwAZrAx9e59OpPyfS2YPbfW7xLvEjDGmVddFV42p662JuSErj99yVGLaqruLXkjAIDDgqruei6TfvPAP/nRpJYuKXn4IyISjUads89cWR+NRkNf++qXnTWrV71a6h4AlBcBEABMQ8aYFcaYb/pdR1V3b8imX/H7LqDC1CXQZfWJI+qtiMwtdx8AgINjjGkwxlxnjGn0u9ZbhdzvO93CpJ81nEym7GtiNBoNn7DkuJwxpqbcvQAoHQIgAJiGFjnO2mvqGtYaY07xu9bOQv7ODted8LOGa23Zx7EHAwHnkwvnnFbuPgAAB+38e1eddPvRddE7/C7kifxtfTrl+FkjkM2VPQASETn/vE+7IrKo3H0AKB0CIACYhvqsvbigKp+qir5hjGnwudzLW/JZX+87sG7pp4DtT1V1IJ0bKXcfAICDo6qPPRJL9N688oRvBAPm8z7XcmNu/i0/aziZ7LQIgOLxnpCIjJe7DwClQwAEANOQqsYfSU+sva6+wVkeCm80xszzsdaemFsY9ev5IiKeLf933e9u2pHc1DdyZbn7AAAcvFcGxy4NOwG57rTj1gUDgc/4WWtXIb/RVfVtTnswW/6BaBte2Ji55dd3/ERVB8vdC4DSIQACgGlqxPNufTydyv9hzrzlq6dOAi3xo44xpiHpWV9Hwast7wmggvXk+e6hTaq6s6yNAAAO1Ut3be147YYVSyK/WbXsnzWh4Nf9KuSqHJP3cWKkkyt/APT4k09Fx5JJBiMAM0yw3A0AAN6bqnbVBgJ3rYlEr7m9oXHRbeOjrcaYlaq6ucilzrikus7XMV3lCIDu2xGXvlRWCp7Kuta+vt5U1ve7IwAA/lBVNcZc9astbZtvWnlCdGF15M9zIuFzRrL5q4pd64Jo9SXVgYBv/09yMtmS34u3ddv2woMPPxqa3dAgG17YKP/+z8u/8HsABIDphwAIAKaxlOqNV+3ZPXRRdc3d2wt5CYosFpFiB0Av3Jwc0RtnzTZnVUWL/Ogpnlv875iu59mBdC7dMZ72mkdTkfbxlOlL5RLdE5n2ptHJ7aO5wlMi8qKIhFS1/NutAICPRFW3GWPOeWMouclTidYEnWP8qPNsJnXF3IDz8NW19RowpuhhTSiT8eUtjJGR0XRXd3ehORYLxlrbIom+/j29ib7O1rb2ps54fLPnefeLSFhVM37UBzD9EQABwDSmqp6I3GOMWauqvoylVVV7fCi85cRQeGVB1YaMKfr0k0P99jyed7O9k5lcbCzlNI1ORnsns8lEKhvvmki3toymdriqbSLSsfcz/D67mYQ/AFAhVHXL3nHwBfXpNS1XJH1GVZWkVL06H9bEQ5XL593+/oF0e0eH7GxuiXR1xd1Ef38i3t3T1hJr3TWWTLbIvjWx533+fQh/gBmMAAgADgN+hT9vK6iu+Fc2IyrinFsVdWc7TlHXB+N5Ku+RA1lPvd2ZXLpzPG2bx1JVbcmUk5jM9ndPZtqaR1M7h7P5FhHpFJF2EeniJA8AoAQnWALb8nlJuK5zZDAop4eLOygz6Lrvuy+STI5n4t3d+ZbWtmBzLBbp6U2M9vQmuto7O5vaOzp3ep7XIXvXRVX1dYADgMpjePUTABAw5lv1JvDHRseRZaGw/HzWnKI9O+N52a21gciCJXOzsbFUKJHKjidS2Z6u8UwslkztylmvTaYCng4RGeROAgBAORljGmeZwLArmlzkBGf9pXF+0U7Huqo2YV0T/O2dkujvd9s7O23/wGB/d09ve0usddeekZEW2bcmxlW1UIy6ACBCAAQAeAdjzFdODIbXPdA4z3OM+VB3FHiqOup5qYR1bZdbqOqxbnDI2oFBz7bH3cKuYc9rFpGUiLwsIh2qmvX1lwAAoAiMMc5RTtD9UV2DrI58+DvyUp6XHbBursu6Ttx1o4PWHdvt2e6E6zb3WHenFekXkV4R2aKqI779AgCwH14BAwC809PnRaKyf/iTVS83YG22x3UDXW4hOuDZ1JC1vX3WbetyC9vyU7uVb38GOMUDADjcqao9OVzVtToSPeadf25V7bBn0wnrel2uG+l1XRnybN9uazs73cKOMfVism9NjKtqvhz9A8D+CIAAAP+jqqkVVZGuiQnvyGHP7h60tqPbdZt2e7ZJRNpk6t6BTlVNl7lVAAB8F3cLD/1pMvmzIWtHhzzb02vdph7XbXJFYrLvwuU9bHwAOBzwChgA4P8YY8IyNV2FBQIAMKOZqROxQU7xAKgEBEAAAAAAAAAV7kNd8AkAAAAAAIDDFwEQAAAAAABAhSMAAgAAAAAAqHAEQAAAAAAAABWOAAgAAAAAAKDCEQABAAAAAABUOAIgAAAAAACACkcABAAAAAAAUOEIgAAAAAAAACocARAAAAAAAECFIwACAAAAAACocARAAAAAAAAAFY4ACAAAAAAAoMIRAAEAAAAAAFQ4AiAAAAAAAIAKRwAEAAAAAABQ4QiAAAAAAAAAKhwBEAAAAAAAQIUjAAIAAAAAAKhwBEAAAAAAAAAV7r87gVUwRyLs0gAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import Image\n", "Image(filename='classif_compare.png') " ] }, { "cell_type": "markdown", "id": "0f5e48f2", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Color in Choropleth Mapping \n", "\n", "* Classification scheme, symbolization and color scheme will determine the overall effectiveness of the choropleth map\n", "* The choice of a color scheme for a choropleth map should be based on the type of variable under consideration\n", "* Three types of numerical attributes: \n", " * sequential - continuous data \n", " * diverging - continuous data (equal weight on different parts of the spectrum) \n", " * qualitative - categorical data " ] }, { "cell_type": "code", "execution_count": 30, "id": "34e331a3", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tot_by_county_geom.plot(column='INC_NUM', cmap='Reds', legend=True)" ] }, { "cell_type": "code", "execution_count": 31, "id": "9c7a91ec", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tot_by_county_geom.INC_NUM.plot(kind='hist')" ] }, { "cell_type": "code", "execution_count": 32, "id": "16153b07", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tot_by_county_geom[\"class_cnt\"] = pd.cut(tot_by_county_geom[\"INC_NUM\"], [-np.inf, 50, 100, 200, 350])\n", "\n", "tot_by_county_geom.plot(column='class_cnt', cmap='RdYlGn', legend=True)" ] }, { "cell_type": "code", "execution_count": 33, "id": "6d222199", "metadata": { "slideshow": { "slide_type": "subslide" } }, "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", "
county_namegeometryINC_NUMclass_cnt
0alamedaMULTIPOLYGON (((-203097.930 -10755.124, -20094...10.0(-inf, 50.0]
1alpinePOLYGON ((-6288.628 76303.334, 3042.528 84440....18.0(-inf, 50.0]
2amadorPOLYGON ((-89497.637 53052.537, -89492.962 546...23.0(-inf, 50.0]
3buttePOLYGON ((-161923.480 144686.420, -164426.638 ...95.0(50.0, 100.0]
4calaverasPOLYGON ((-76796.914 1747.218, -80494.997 6443...62.0(50.0, 100.0]
\n", "
" ], "text/plain": [ " county_name geometry INC_NUM \\\n", "0 alameda MULTIPOLYGON (((-203097.930 -10755.124, -20094... 10.0 \n", "1 alpine POLYGON ((-6288.628 76303.334, 3042.528 84440.... 18.0 \n", "2 amador POLYGON ((-89497.637 53052.537, -89492.962 546... 23.0 \n", "3 butte POLYGON ((-161923.480 144686.420, -164426.638 ... 95.0 \n", "4 calaveras POLYGON ((-76796.914 1747.218, -80494.997 6443... 62.0 \n", "\n", " class_cnt \n", "0 (-inf, 50.0] \n", "1 (-inf, 50.0] \n", "2 (-inf, 50.0] \n", "3 (50.0, 100.0] \n", "4 (50.0, 100.0] " ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tot_by_county_geom['county_name'] = tot_by_county_geom.county_name.apply(lambda x: x.strip().lower().replace(' ', ''))\n", "tot_by_county_geom.head()" ] }, { "cell_type": "code", "execution_count": 34, "id": "5e66d992", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "socal = ['Imperial', 'Kern', 'Los Angeles', 'Orange', 'Riverside','San Bernardino', 'San Diego', 'San Luis Obispo', 'Santa Barbara', 'Ventura']\n", "socal = [x.strip().lower().replace(' ', '') for x in socal]\n", "\n", "norcal = ['Alameda','Alpine','Amador','Butte','Calaveras','Colusa','Contra Costa','Del Norte','El Dorado','Fresno','Glenn','Humboldt', 'Inyo','Kings','Lake','Lassen','Madera','Marin','Mariposa','Mendocino','Merced','Modoc','Mono','Monterey','Napa','Nevada','Placer','Plumas','Sacramento','San Benito','San Francisco','San Joaquin','San Mateo','Santa Clara','Santa Cruz','Shasta','Sierra','Siskiyou','Solano','Sonoma','Stanislaus','Sutter','Tehama','Trinity','Tulare','Tuolumne','Yolo','Yuba']\n", "\n", "norcal = [x.strip().lower().replace(' ', '') for x in norcal]\n", "\n", "tot_by_county_geom['ca_region'] = pd.Series(dtype='str')\n", "tot_by_county_geom.loc[tot_by_county_geom.county_name.isin(socal),'ca_region'] = \"SoCal\"\n", "tot_by_county_geom.loc[tot_by_county_geom.county_name.isin(norcal),'ca_region'] = \"NorCal\"\n", "\n", "tot_by_county_geom.plot('ca_region', categorical=True, legend=True)" ] }, { "cell_type": "markdown", "id": "44716691", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Questions? \n", "\n", "* Check out the [Choropleth Mapping Chapter in GDS book](https://geographicdata.science/book/notebooks/05_choropleth.html) and GIA Chapter 3 " ] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python (geo_env)", "language": "python", "name": "geo_env" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 5 }