From a28371be3f67b9ba48472ca517e2f4db068a4693 Mon Sep 17 00:00:00 2001 From: dadams Date: Mon, 25 Nov 2024 21:29:56 -0800 Subject: [PATCH] think there's some good stuff here --- initial_view/secondtake.html | 10579 ++++++++++++++++++++++++++++++++ initial_view/secondtake.ipynb | 1212 +++- 2 files changed, 11729 insertions(+), 62 deletions(-) create mode 100644 initial_view/secondtake.html diff --git a/initial_view/secondtake.html b/initial_view/secondtake.html new file mode 100644 index 00000000..ddf16097 --- /dev/null +++ b/initial_view/secondtake.html @@ -0,0 +1,10579 @@ + + + + + +secondtake + + + + + + + + + + + + +
+ + + + + + + + + + + +
+ + diff --git a/initial_view/secondtake.ipynb b/initial_view/secondtake.ipynb index bc35512c..477fa1d6 100644 --- a/initial_view/secondtake.ipynb +++ b/initial_view/secondtake.ipynb @@ -1,10 +1,8 @@ { "cells": [ { - "cell_type": "code", - "execution_count": 8, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "# Project: California Equity Research\n", "### Data: postgis db `calif_equity` with california climate investment and california enviroscreen data\n", @@ -16,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -68,7 +66,7 @@ " dtype='object', length=127)" ] }, - "execution_count": 12, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -79,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -131,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -170,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -289,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -368,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -551,7 +549,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -598,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -648,10 +646,8 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ "\n", "1. **Project Volume Evolution**\n", @@ -679,7 +675,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -840,7 +836,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -886,11 +882,6 @@ "source": [ "# 1. DAC Benefits by Program Size\n", "dac_by_size = program_scale.groupby('size_category').agg({\n", - "Would you like to:\n", - "1. Analyze DAC benefit patterns by program size?\n", - "2. Look deeper into geographic distribution patterns?\n", - "3. Examine the relationship between project size and GHG efficiency?\n", - "4. Investigate multi-county collaboration patterns?\n", " 'dac_rate': ['mean', 'min', 'max'],\n", " 'total_funding': 'sum',\n", " 'project_count': 'sum'\n", @@ -996,7 +987,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1153,7 +1144,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1321,7 +1312,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1435,7 +1426,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1547,7 +1538,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1568,7 +1559,7 @@ " dtype='object')" ] }, - "execution_count": 28, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1579,52 +1570,1149 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 22, "metadata": {}, "outputs": [ { - "ename": "MergeError", - "evalue": "Not allowed to merge between different levels. (1 levels on the left, 2 on the right)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mMergeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[29], line 19\u001b[0m\n\u001b[1;32m 12\u001b[0m county_funding \u001b[38;5;241m=\u001b[39m data_filtered\u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCounty\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39magg({\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTotal Program GGRFFunding\u001b[39m\u001b[38;5;124m'\u001b[39m: [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msum\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcount\u001b[39m\u001b[38;5;124m'\u001b[39m],\n\u001b[1;32m 14\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTotal Project GHGReductions\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msum\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 15\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mIs Benefit Disadvantaged Communities\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmean\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 16\u001b[0m })\u001b[38;5;241m.\u001b[39mround(\u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m 18\u001b[0m \u001b[38;5;66;03m# Merge the datasets\u001b[39;00m\n\u001b[0;32m---> 19\u001b[0m county_analysis \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmerge\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 20\u001b[0m \u001b[43m \u001b[49m\u001b[43mces_county\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[43m \u001b[49m\u001b[43mcounty_funding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 22\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 23\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m 24\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCounty Environmental Burden vs Funding:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28mprint\u001b[39m(county_analysis\u001b[38;5;241m.\u001b[39msort_values(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCIscore\u001b[39m\u001b[38;5;124m'\u001b[39m, ascending\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\u001b[38;5;241m.\u001b[39mhead(\u001b[38;5;241m10\u001b[39m))\n", - "File \u001b[0;32m~/Repos/california_equity_git/.venv/lib/python3.12/site-packages/pandas/core/reshape/merge.py:170\u001b[0m, in \u001b[0;36mmerge\u001b[0;34m(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[1;32m 155\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _cross_merge(\n\u001b[1;32m 156\u001b[0m left_df,\n\u001b[1;32m 157\u001b[0m right_df,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 167\u001b[0m copy\u001b[38;5;241m=\u001b[39mcopy,\n\u001b[1;32m 168\u001b[0m )\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 170\u001b[0m op \u001b[38;5;241m=\u001b[39m \u001b[43m_MergeOperation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 171\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_df\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 172\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_df\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 173\u001b[0m \u001b[43m \u001b[49m\u001b[43mhow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 174\u001b[0m \u001b[43m \u001b[49m\u001b[43mon\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mon\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 175\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 176\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 177\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 178\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 179\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 180\u001b[0m \u001b[43m \u001b[49m\u001b[43msuffixes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msuffixes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 181\u001b[0m \u001b[43m \u001b[49m\u001b[43mindicator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindicator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 182\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalidate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 184\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m op\u001b[38;5;241m.\u001b[39mget_result(copy\u001b[38;5;241m=\u001b[39mcopy)\n", - "File \u001b[0;32m~/Repos/california_equity_git/.venv/lib/python3.12/site-packages/pandas/core/reshape/merge.py:784\u001b[0m, in \u001b[0;36m_MergeOperation.__init__\u001b[0;34m(self, left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, indicator, validate)\u001b[0m\n\u001b[1;32m 778\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _left\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m!=\u001b[39m _right\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels:\n\u001b[1;32m 779\u001b[0m msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 780\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNot allowed to merge between different levels. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 781\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m_left\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m levels on the left, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 782\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m_right\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m on the right)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 783\u001b[0m )\n\u001b[0;32m--> 784\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m MergeError(msg)\n\u001b[1;32m 786\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mleft_on, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mright_on \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_left_right_on(left_on, right_on)\n\u001b[1;32m 788\u001b[0m (\n\u001b[1;32m 789\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mleft_join_keys,\n\u001b[1;32m 790\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mright_join_keys,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 793\u001b[0m right_drop,\n\u001b[1;32m 794\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_merge_keys()\n", - "\u001b[0;31mMergeError\u001b[0m: Not allowed to merge between different levels. (1 levels on the left, 2 on the right)" + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "CES Tract Examples:\n", + "0 6083002103\n", + "1 6083002402\n", + "2 6083002102\n", + "3 6083002010\n", + "4 6083002009\n", + "Name: Tract, dtype: object\n", + "\n", + "CCI Tract Examples:\n", + "16067 NaN\n", + "25098 6.001402e+09\n", + "25099 6.001402e+09\n", + "25100 6.001406e+09\n", + "25101 6.001406e+09\n", + "Name: Census Tract, dtype: float64\n", + "\n", + "Missing Tract Counts:\n", + "CES missing tracts: 0\n", + "CCI missing tracts: 17967\n", + "\n", + "Merged Data Summary:\n", + "Total rows: 13184\n", + "Unique tracts: 3665\n", + "\n", + "Funding Distribution by CalEnviroScreen Score Quintiles:\n", + " Total Program GGRFFunding \\\n", + " count sum mean \n", + "CES_quintile \n", + "Lowest Burden 2638 39278353 14889.44 \n", + "Low 2642 39059436 14784.04 \n", + "Medium 2636 61809955 23448.39 \n", + "High 2643 50317266 19037.94 \n", + "Highest Burden 2625 37787591 14395.27 \n", + "\n", + " Total Project GHGReductions \\\n", + " sum \n", + "CES_quintile \n", + "Lowest Burden 2270359 \n", + "Low 202457 \n", + "Medium 265818 \n", + "High 210633 \n", + "Highest Burden 159776 \n", + "\n", + " Is Benefit Disadvantaged Communities \n", + " mean \n", + "CES_quintile \n", + "Lowest Burden 0.04 \n", + "Low 0.55 \n", + "Medium 0.84 \n", + "High 0.87 \n", + "Highest Burden 0.72 \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_30782/1664997265.py:41: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " ces_analysis = merged_data.groupby('CES_quintile').agg({\n" ] } ], "source": [ - "# First, summarize CES data by county\n", - "ces_county = gdf.groupby('County').agg({\n", - " 'CIscore': 'mean',\n", - " 'PollBurd': 'mean',\n", - " 'Poverty': 'mean',\n", - " 'TotPop19': 'sum',\n", - " 'Hispanic': 'mean',\n", - " 'White': 'mean'\n", - "}).round(2)\n", + "# Clean census tract IDs in both dataframes\n", + "def standardize_tract(tract):\n", + " if pd.isna(tract):\n", + " return None\n", + " if isinstance(tract, (int, float)):\n", + " return str(int(tract))\n", + " return str(tract).strip()\n", "\n", - "# Compare with our funding distribution\n", - "county_funding = data_filtered.groupby('County').agg({\n", - " 'Total Program GGRFFunding': ['sum', 'count'],\n", + "# Check the data first\n", + "print(\"\\nCES Tract Examples:\")\n", + "print(gdf['Tract'].head())\n", + "print(\"\\nCCI Tract Examples:\")\n", + "print(data_filtered['Census Tract'].head())\n", + "\n", + "# Clean and standardize\n", + "gdf['Tract_clean'] = gdf['Tract'].apply(standardize_tract)\n", + "data_filtered['Tract_clean'] = data_filtered['Census Tract'].apply(standardize_tract)\n", + "\n", + "# Check for missing tracts\n", + "print(\"\\nMissing Tract Counts:\")\n", + "print(\"CES missing tracts:\", gdf['Tract_clean'].isna().sum())\n", + "print(\"CCI missing tracts:\", data_filtered['Tract_clean'].isna().sum())\n", + "\n", + "# Merge datasets, excluding null tracts\n", + "merged_data = pd.merge(\n", + " data_filtered[data_filtered['Tract_clean'].notna()], \n", + " gdf[['Tract_clean', 'CIscore', 'CIscoreP', 'PollBurd', 'Poverty', 'TotPop19']], \n", + " on='Tract_clean',\n", + " how='inner'\n", + ")\n", + "\n", + "print(\"\\nMerged Data Summary:\")\n", + "print(\"Total rows:\", len(merged_data))\n", + "print(\"Unique tracts:\", merged_data['Tract_clean'].nunique())\n", + "\n", + "# Basic analysis of funding by CES score\n", + "print(\"\\nFunding Distribution by CalEnviroScreen Score Quintiles:\")\n", + "merged_data['CES_quintile'] = pd.qcut(merged_data['CIscore'], q=5, \n", + " labels=['Lowest Burden', 'Low', 'Medium', 'High', 'Highest Burden'])\n", + "\n", + "ces_analysis = merged_data.groupby('CES_quintile').agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum', 'mean'],\n", " 'Total Project GHGReductions': 'sum',\n", " 'Is Benefit Disadvantaged Communities': 'mean'\n", "}).round(2)\n", "\n", - "# Merge the datasets\n", - "county_analysis = pd.merge(\n", - " ces_county,\n", - " county_funding,\n", - " left_index=True,\n", - " right_index=True\n", + "print(ces_analysis)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_30782/541290860.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " merged_data.groupby('CES_quintile')['Total Program GGRFFunding'].mean().plot(\n", + "/tmp/ipykernel_30782/541290860.py:12: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " merged_data.groupby('CES_quintile')['Total Project GHGReductions'].sum().plot(\n", + "/tmp/ipykernel_30782/541290860.py:18: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " merged_data.groupby('CES_quintile')['Is Benefit Disadvantaged Communities'].mean().plot(\n", + "/tmp/ipykernel_30782/541290860.py:24: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " merged_data.groupby('CES_quintile')['Total Program GGRFFunding'].count().plot(\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Program Types by Environmental Burden:\n", + "Program Name Low-Income Weatherization Program \\\n", + "CES_quintile \n", + "Lowest Burden 3.69 \n", + "Low 28.77 \n", + "Medium 50.45 \n", + "High 45.19 \n", + "Highest Burden 30.88 \n", + "\n", + "Program Name Sustainable Agricultural Lands Conservation Program \\\n", + "CES_quintile \n", + "Lowest Burden 22.05 \n", + "Low 0.00 \n", + "Medium 0.00 \n", + "High 0.00 \n", + "Highest Burden 0.00 \n", + "\n", + "Program Name Transformative Climate Communities Waste Diversion \\\n", + "CES_quintile \n", + "Lowest Burden 0.00 0.34 \n", + "Low 0.48 0.23 \n", + "Medium 0.94 0.15 \n", + "High 0.33 0.12 \n", + "Highest Burden 3.14 0.14 \n", + "\n", + "Program Name Water-Energy Efficiency Woodsmoke Reduction Program \\\n", + "CES_quintile \n", + "Lowest Burden 7.13 6.00 \n", + "Low 8.02 1.50 \n", + "Medium 9.63 0.36 \n", + "High 4.31 0.01 \n", + "Highest Burden 3.38 0.03 \n", + "\n", + "Program Name Workforce Training and Development \n", + "CES_quintile \n", + "Lowest Burden 0.07 \n", + "Low 0.07 \n", + "Medium 0.29 \n", + "High 0.36 \n", + "Highest Burden 0.21 \n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 12))\n", + "\n", + "# Average Funding by CES Score\n", + "merged_data.groupby('CES_quintile')['Total Program GGRFFunding'].mean().plot(\n", + " kind='bar', ax=ax1, color='skyblue')\n", + "ax1.set_title('Average Funding by Environmental Burden')\n", + "ax1.set_ylabel('Average Funding ($)')\n", + "\n", + "# GHG Reductions\n", + "merged_data.groupby('CES_quintile')['Total Project GHGReductions'].sum().plot(\n", + " kind='bar', ax=ax2, color='skyblue')\n", + "ax2.set_title('Total GHG Reductions by Environmental Burden')\n", + "ax2.set_ylabel('GHG Reductions')\n", + "\n", + "# DAC Benefit Rate\n", + "merged_data.groupby('CES_quintile')['Is Benefit Disadvantaged Communities'].mean().plot(\n", + " kind='bar', ax=ax3, color='skyblue')\n", + "ax3.set_title('DAC Benefit Rate by Environmental Burden')\n", + "ax3.set_ylabel('Proportion Benefiting DACs')\n", + "\n", + "# Project Counts\n", + "merged_data.groupby('CES_quintile')['Total Program GGRFFunding'].count().plot(\n", + " kind='bar', ax=ax4, color='skyblue')\n", + "ax4.set_title('Number of Projects by Environmental Burden')\n", + "ax4.set_ylabel('Number of Projects')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Also examine program types by CES quintile\n", + "print(\"\\nProgram Types by Environmental Burden:\")\n", + "program_dist = pd.crosstab(\n", + " merged_data['CES_quintile'], \n", + " merged_data['Program Name'], \n", + " values=merged_data['Total Program GGRFFunding'],\n", + " aggfunc='sum'\n", + ")/1e6 # Convert to millions\n", + "\n", + "print(program_dist.round(2))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Distribution using CES Percentile Thresholds:\n", + " Total Program GGRFFunding \\\n", + " count sum mean \n", + "CES_category \n", + "High Burden (50-75%) 2932 42831569 14608.31 \n", + "Highest Burden (75-100%) 7661 146493459 19121.98 \n", + "Low Burden (0-25%) 1182 7475213 6324.21 \n", + "Moderate Burden (25-50%) 1409 31452360 22322.47 \n", + "\n", + " Total Project GHGReductions \\\n", + " sum \n", + "CES_category \n", + "High Burden (50-75%) 218725 \n", + "Highest Burden (75-100%) 622363 \n", + "Low Burden (0-25%) 163482 \n", + "Moderate Burden (25-50%) 2104473 \n", + "\n", + " Is Benefit Disadvantaged Communities \n", + " mean \n", + "CES_category \n", + "High Burden (50-75%) 0.56 \n", + "Highest Burden (75-100%) 0.81 \n", + "Low Burden (0-25%) 0.01 \n", + "Moderate Burden (25-50%) 0.07 \n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create meaningful CES score categories\n", + "def categorize_ces(score):\n", + " if score >= 75: # Top 25% - most burdened\n", + " return 'Highest Burden (75-100%)'\n", + " elif score >= 50:\n", + " return 'High Burden (50-75%)'\n", + " elif score >= 25:\n", + " return 'Moderate Burden (25-50%)'\n", + " else: # Bottom 25% - least burdened\n", + " return 'Low Burden (0-25%)'\n", + "\n", + "# Add new categorization\n", + "merged_data['CES_category'] = merged_data['CIscoreP'].apply(categorize_ces)\n", + "\n", + "# Analyze distribution with new categories\n", + "ces_analysis_new = merged_data.groupby('CES_category').agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum', 'mean'],\n", + " 'Total Project GHGReductions': 'sum',\n", + " 'Is Benefit Disadvantaged Communities': 'mean'\n", + "}).round(2)\n", + "\n", + "print(\"Distribution using CES Percentile Thresholds:\")\n", + "print(ces_analysis_new)\n", + "\n", + "# Visualize with new categories\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 12))\n", + "\n", + "# Average Funding\n", + "merged_data.groupby('CES_category')['Total Program GGRFFunding'].mean().plot(\n", + " kind='bar', ax=ax1, color='skyblue')\n", + "ax1.set_title('Average Funding by Environmental Burden')\n", + "ax1.set_ylabel('Average Funding ($)')\n", + "\n", + "# GHG Reductions\n", + "merged_data.groupby('CES_category')['Total Project GHGReductions'].sum().plot(\n", + " kind='bar', ax=ax2, color='skyblue')\n", + "ax2.set_title('Total GHG Reductions by Environmental Burden')\n", + "ax2.set_ylabel('GHG Reductions')\n", + "\n", + "# DAC Benefit Rate\n", + "merged_data.groupby('CES_category')['Is Benefit Disadvantaged Communities'].mean().plot(\n", + " kind='bar', ax=ax3, color='skyblue')\n", + "ax3.set_title('DAC Benefit Rate by Environmental Burden')\n", + "ax3.set_ylabel('Proportion Benefiting DACs')\n", + "\n", + "# Project Counts\n", + "merged_data.groupby('CES_category')['Total Program GGRFFunding'].count().plot(\n", + " kind='bar', ax=ax4, color='skyblue')\n", + "ax4.set_title('Number of Projects by Environmental Burden')\n", + "ax4.set_ylabel('Number of Projects')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Define category order\n", + "category_order = [\n", + " 'Low Burden (0-25%)', \n", + " 'Moderate Burden (25-50%)', \n", + " 'High Burden (50-75%)', \n", + " 'Highest Burden (75-100%)'\n", + "]\n", + "\n", + "# Create visualizations with ordered categories\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 12))\n", + "\n", + "# Average Funding\n", + "merged_data.groupby('CES_category')['Total Program GGRFFunding'].mean()[category_order].plot(\n", + " kind='bar', ax=ax1, color='skyblue')\n", + "ax1.set_title('Average Funding by Environmental Burden')\n", + "ax1.set_ylabel('Average Funding ($)')\n", + "\n", + "# GHG Reductions\n", + "merged_data.groupby('CES_category')['Total Project GHGReductions'].sum()[category_order].plot(\n", + " kind='bar', ax=ax2, color='skyblue')\n", + "ax2.set_title('Total GHG Reductions by Environmental Burden')\n", + "ax2.set_ylabel('GHG Reductions')\n", + "\n", + "# DAC Benefit Rate\n", + "merged_data.groupby('CES_category')['Is Benefit Disadvantaged Communities'].mean()[category_order].plot(\n", + " kind='bar', ax=ax3, color='skyblue')\n", + "ax3.set_title('DAC Benefit Rate by Environmental Burden')\n", + "ax3.set_ylabel('Proportion Benefiting DACs')\n", + "\n", + "# Project Counts\n", + "merged_data.groupby('CES_category')['Total Program GGRFFunding'].count()[category_order].plot(\n", + " kind='bar', ax=ax4, color='skyblue')\n", + "ax4.set_title('Number of Projects by Environmental Burden')\n", + "ax4.set_ylabel('Number of Projects')\n", + "\n", + "# Rotate x-labels for better readability\n", + "for ax in [ax1, ax2, ax3, ax4]:\n", + " ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Agency Performance Overview:\n", + " Total Program GGRFFunding \\\n", + " count \n", + "Agency Name \n", + "California Air Resources Board 12329 \n", + "California Coastal Commission 17 \n", + "California Conservation Corps 766 \n", + "California Department of Community Services and... 6331 \n", + "California Department of Fish and Wildlife 8 \n", + "California Department of Food and Agriculture 1311 \n", + "California Department of Forestry and Fire Prot... 2047 \n", + "California Department of Resources Recycling an... 723 \n", + "California Department of Transportation 769 \n", + "California Department of Water Resources 4887 \n", + "California Energy Commission 119 \n", + "California Environmental Protection Agency 2 \n", + "California Governors Office of Emergency Services 63 \n", + "California Natural Resources Agency 213 \n", + "California State Coastal Conservancy 10 \n", + "California State Transportation Agency 135 \n", + "California State Water Resources Control Board 100 \n", + "California Strategic Growth Council 1200 \n", + "California Wildlife Conservation Board 17 \n", + "California Workforce Development Board 30 \n", + "San Francisco Bay Conservation and Development ... 74 \n", + "\n", + " \\\n", + " sum mean \n", + "Agency Name \n", + "California Air Resources Board 796368463 64593.111 \n", + "California Coastal Commission 2667413 156906.647 \n", + "California Conservation Corps 47161363 61568.359 \n", + "California Department of Community Services and... 158967758 25109.423 \n", + "California Department of Fish and Wildlife 16171301 2021412.625 \n", + "California Department of Food and Agriculture 338161549 257941.685 \n", + "California Department of Forestry and Fire Prot... 967562562 472673.455 \n", + "California Department of Resources Recycling an... 175129441 242226.059 \n", + "California Department of Transportation 785906434 1021984.960 \n", + "California Department of Water Resources 52470432 10736.737 \n", + "California Energy Commission 140791478 1183121.664 \n", + "California Environmental Protection Agency 2560940 1280470.000 \n", + "California Governors Office of Emergency Services 31037358 492656.476 \n", + "California Natural Resources Agency 145023190 680860.047 \n", + "California State Coastal Conservancy 7218244 721824.400 \n", + "California State Transportation Agency 771556000 5715229.630 \n", + "California State Water Resources Control Board 118601405 1186014.050 \n", + "California Strategic Growth Council 1557246299 1297705.249 \n", + "California Wildlife Conservation Board 12574800 739694.118 \n", + "California Workforce Development Board 24428357 814278.567 \n", + "San Francisco Bay Conservation and Development ... 8680291 117301.230 \n", + "\n", + " Total Project GHGReductions \\\n", + " sum \n", + "Agency Name \n", + "California Air Resources Board 509888 \n", + "California Coastal Commission 0 \n", + "California Conservation Corps 292164 \n", + "California Department of Community Services and... 583978 \n", + "California Department of Fish and Wildlife 405413 \n", + "California Department of Food and Agriculture 21019827 \n", + "California Department of Forestry and Fire Prot... 5176685 \n", + "California Department of Resources Recycling an... 1884352 \n", + "California Department of Transportation 5709880 \n", + "California Department of Water Resources 373494 \n", + "California Energy Commission 3553812 \n", + "California Environmental Protection Agency 0 \n", + "California Governors Office of Emergency Services 0 \n", + "California Natural Resources Agency 53327 \n", + "California State Coastal Conservancy 0 \n", + "California State Transportation Agency 9076036 \n", + "California State Water Resources Control Board -3620 \n", + "California Strategic Growth Council 17127711 \n", + "California Wildlife Conservation Board 124761 \n", + "California Workforce Development Board 0 \n", + "San Francisco Bay Conservation and Development ... 0 \n", + "\n", + " Is Benefit Disadvantaged Communities \n", + " mean \n", + "Agency Name \n", + "California Air Resources Board 0.000 \n", + "California Coastal Commission 0.000 \n", + "California Conservation Corps 0.000 \n", + "California Department of Community Services and... 0.917 \n", + "California Department of Fish and Wildlife 0.000 \n", + "California Department of Food and Agriculture 0.053 \n", + "California Department of Forestry and Fire Prot... 0.084 \n", + "California Department of Resources Recycling an... 0.032 \n", + "California Department of Transportation 0.095 \n", + "California Department of Water Resources 0.441 \n", + "California Energy Commission 0.000 \n", + "California Environmental Protection Agency 0.000 \n", + "California Governors Office of Emergency Services 0.000 \n", + "California Natural Resources Agency 0.150 \n", + "California State Coastal Conservancy 0.000 \n", + "California State Transportation Agency 0.193 \n", + "California State Water Resources Control Board 0.000 \n", + "California Strategic Growth Council 0.016 \n", + "California Wildlife Conservation Board 0.000 \n", + "California Workforce Development Board 0.000 \n", + "San Francisco Bay Conservation and Development ... 0.000 \n", + "\n", + "Agency Performance in Multi-County Projects:\n", + " Total Program GGRFFunding \\\n", + " count \n", + "Agency Name \n", + "California Air Resources Board 25 \n", + "California Conservation Corps 9 \n", + "California Department of Food and Agriculture 41 \n", + "California Department of Forestry and Fire Prot... 339 \n", + "California Department of Resources Recycling an... 23 \n", + "California Department of Transportation 158 \n", + "California Energy Commission 9 \n", + "California Natural Resources Agency 7 \n", + "California State Transportation Agency 57 \n", + "California State Water Resources Control Board 45 \n", + "California Strategic Growth Council 32 \n", + "California Wildlife Conservation Board 7 \n", + "\n", + " \\\n", + " sum mean \n", + "Agency Name \n", + "California Air Resources Board 2104048 84161.920 \n", + "California Conservation Corps 1248353 138705.889 \n", + "California Department of Food and Agriculture 6296871 153582.220 \n", + "California Department of Forestry and Fire Prot... 32351508 95432.177 \n", + "California Department of Resources Recycling an... 6962204 302704.522 \n", + "California Department of Transportation 162505329 1028514.741 \n", + "California Energy Commission 12379666 1375518.444 \n", + "California Natural Resources Agency 2879148 411306.857 \n", + "California State Transportation Agency 232590000 4080526.316 \n", + "California State Water Resources Control Board 46265001 1028111.133 \n", + "California Strategic Growth Council 11948291 373384.094 \n", + "California Wildlife Conservation Board 3544200 506314.286 \n", + "\n", + " Total Project GHGReductions \\\n", + " sum \n", + "Agency Name \n", + "California Air Resources Board -413 \n", + "California Conservation Corps 842 \n", + "California Department of Food and Agriculture 42951 \n", + "California Department of Forestry and Fire Prot... 185424 \n", + "California Department of Resources Recycling an... 35434 \n", + "California Department of Transportation 2460280 \n", + "California Energy Commission 501007 \n", + "California Natural Resources Agency 1191 \n", + "California State Transportation Agency 2748646 \n", + "California State Water Resources Control Board -3234 \n", + "California Strategic Growth Council 251149 \n", + "California Wildlife Conservation Board 0 \n", + "\n", + " Is Benefit Disadvantaged Communities \n", + " mean \n", + "Agency Name \n", + "California Air Resources Board 0.000 \n", + "California Conservation Corps 0.000 \n", + "California Department of Food and Agriculture 0.000 \n", + "California Department of Forestry and Fire Prot... 0.168 \n", + "California Department of Resources Recycling an... 0.130 \n", + "California Department of Transportation 0.089 \n", + "California Energy Commission 0.000 \n", + "California Natural Resources Agency 0.000 \n", + "California State Transportation Agency 0.105 \n", + "California State Water Resources Control Board 0.000 \n", + "California Strategic Growth Council 0.062 \n", + "California Wildlife Conservation Board 0.000 \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/dadams/Repos/california_equity_git/.venv/lib/python3.12/site-packages/matplotlib/text.py:1465: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " x = float(self.convert_xunits(x))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Agency Performance Analysis\n", + "agency_performance = data_filtered.groupby('Agency Name').agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum', 'mean'],\n", + " 'Total Project GHGReductions': 'sum',\n", + " 'Is Benefit Disadvantaged Communities': 'mean'\n", + "}).round(3)\n", + "\n", + "print(\"Agency Performance Overview:\")\n", + "print(agency_performance)\n", + "\n", + "# Add efficiency metrics\n", + "agency_performance['ghg_per_dollar'] = (\n", + " agency_performance[('Total Project GHGReductions', 'sum')] / \n", + " agency_performance[('Total Program GGRFFunding', 'sum')]\n", ")\n", "\n", - "print(\"County Environmental Burden vs Funding:\")\n", - "print(county_analysis.sort_values('CIscore', ascending=False).head(10))" + "# Look at agency patterns in multi-county projects\n", + "multi_county = data_filtered[data_filtered['County'].str.contains(',', na=False)]\n", + "multi_agency_patterns = multi_county.groupby('Agency Name').agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum', 'mean'],\n", + " 'Total Project GHGReductions': 'sum',\n", + " 'Is Benefit Disadvantaged Communities': 'mean'\n", + "}).round(3)\n", + "\n", + "print(\"\\nAgency Performance in Multi-County Projects:\")\n", + "print(multi_agency_patterns)\n", + "\n", + "# Visualize agency performance metrics\n", + "plt.figure(figsize=(15, 10))\n", + "\n", + "# Plot GHG efficiency vs DAC benefit rate by agency\n", + "plt.scatter(\n", + " agency_performance['ghg_per_dollar'],\n", + " agency_performance[('Is Benefit Disadvantaged Communities', 'mean')],\n", + " s=agency_performance[('Total Program GGRFFunding', 'sum')]/1e6, # Size by total funding\n", + " alpha=0.6\n", + ")\n", + "\n", + "# Add agency labels\n", + "for idx, row in agency_performance.iterrows():\n", + " plt.annotate(idx[:20] + '...' if len(idx) > 20 else idx,\n", + " (row['ghg_per_dollar'], \n", + " row[('Is Benefit Disadvantaged Communities', 'mean')]),\n", + " xytext=(5, 5), textcoords='offset points')\n", + "\n", + "plt.xlabel('GHG Reduction per Dollar')\n", + "plt.ylabel('DAC Benefit Rate')\n", + "plt.title('Agency Performance: Climate Impact vs Equity\\nSize = Total Funding')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(15, 10))\n", + "\n", + "# Create shorter but still meaningful agency names\n", + "agency_shortnames = {\n", + " 'California Air Resources Board': 'CARB',\n", + " 'California Department of Community Services and...': 'Community Services',\n", + " 'California Department of Food and Agriculture': 'CDFA',\n", + " 'California Department of Forestry and Fire Prot...': 'CalFire',\n", + " 'California Department of Resources Recycling an...': 'CalRecycle',\n", + " 'California Department of Transportation': 'Caltrans',\n", + " 'California Department of Water Resources': 'Water Resources',\n", + " 'California Energy Commission': 'Energy Commission',\n", + " 'California State Transportation Agency': 'CalSTA',\n", + " 'California Strategic Growth Council': 'SGC',\n", + " # Add other agencies as needed\n", + "}\n", + "\n", + "# Plot GHG efficiency vs DAC benefit rate by agency\n", + "plt.scatter(\n", + " agency_performance['ghg_per_dollar'],\n", + " agency_performance[('Is Benefit Disadvantaged Communities', 'mean')],\n", + " s=agency_performance[('Total Program GGRFFunding', 'sum')]/1e6, # Size by total funding\n", + " alpha=0.6\n", + ")\n", + "\n", + "# Add agency labels with shorter names\n", + "for idx, row in agency_performance.iterrows():\n", + " short_name = agency_shortnames.get(idx, idx[:15] + '...')\n", + " plt.annotate(short_name,\n", + " (row['ghg_per_dollar'], \n", + " row[('Is Benefit Disadvantaged Communities', 'mean')]),\n", + " xytext=(5, 5), textcoords='offset points')\n", + "\n", + "plt.xlabel('GHG Reduction per Dollar')\n", + "plt.ylabel('DAC Benefit Rate')\n", + "plt.title('Agency Performance: Climate Impact vs Equity\\nSize = Total Funding')\n", + "\n", + "# Add legend for bubble size\n", + "legend_elements = [plt.scatter([], [], s=s, label=f'${l}B', alpha=0.6, color='blue') \n", + " for s, l in zip([100, 500, 1000], ['0.1', '0.5', '1.0'])]\n", + "plt.legend(handles=legend_elements, title='Total Funding', \n", + " bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "1. **Strong GHG Performers**\n", + "- California Department of Food and Agriculture shows highest GHG efficiency (~0.06 reductions per dollar)\n", + "- California Energy Commission also performs well (~0.03)\n", + "- However, both show low DAC benefit rates (0-5%)\n", + "\n", + "1. **Strong Equity Performers**\n", + "- California Department of Community Services leads in DAC benefits (91.7%)\n", + "- Department of Water Resources shows good equity performance (44.1%)\n", + "- But these have lower GHG efficiency\n", + "\n", + "1. **Large Scale Implementers** (shown by bubble size)\n", + "- Strategic Growth Council ($1.56B)\n", + "- CalSTA ($772M)\n", + "- CARB ($796M)\n", + "- Department of Forestry and Fire Protection ($968M)\n", + "\n", + "1. **Multi-County Implementation**\n", + "- Transportation agencies lead in multi-county projects (CalSTA: 57 projects, $233M)\n", + "- CalFire shows significant multi-county work (339 projects)\n", + "- Strategic Growth Council's multi-county projects show lower DAC rates than their overall portfolio\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Percentage of Agency Funding by Environmental Burden Category:\n", + "CES_category High Burden (50-75%) \\\n", + "Agency Name \n", + "California Air Resources Board 20.81 \n", + "California Department of Community Services and... 19.77 \n", + "California Department of Resources Recycling an... 26.02 \n", + "California Department of Water Resources 27.36 \n", + "California Energy Commission 14.29 \n", + "California Strategic Growth Council 1.78 \n", + "\n", + "CES_category Highest Burden (75-100%) \\\n", + "Agency Name \n", + "California Air Resources Board 4.92 \n", + "California Department of Community Services and... 77.98 \n", + "California Department of Resources Recycling an... 41.17 \n", + "California Department of Water Resources 50.91 \n", + "California Energy Commission 78.57 \n", + "California Strategic Growth Council 16.38 \n", + "\n", + "CES_category Low Burden (0-25%) \\\n", + "Agency Name \n", + "California Air Resources Board 36.65 \n", + "California Department of Community Services and... 0.29 \n", + "California Department of Resources Recycling an... 21.83 \n", + "California Department of Water Resources 9.21 \n", + "California Energy Commission 7.14 \n", + "California Strategic Growth Council 3.15 \n", + "\n", + "CES_category Moderate Burden (25-50%) \n", + "Agency Name \n", + "California Air Resources Board 37.63 \n", + "California Department of Community Services and... 1.96 \n", + "California Department of Resources Recycling an... 10.98 \n", + "California Department of Water Resources 12.51 \n", + "California Energy Commission 0.00 \n", + "California Strategic Growth Council 78.69 \n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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bOXKkAigbN25MEn9cXJyiKIqya9cuBVB27Nihtbxw4cJa1zclQLKv+Psg8bWPl/j+j99WWq51w4YNFQMDA+XGjRtq2eXLlxVdXd0k20x8/8b/rVarVk09B4qiKD/88IOiq6urPHv2TFEURbl//76SJUsWpWHDhlrb8/PzU4Bk/yaS4+HhobRp00Z9P3ToUCVHjhxKdHS0Wnbt2jVFR0dHadSokRIbG6u1fsIY46/7zp07ter069dPAZSDBw+qZS9fvlQcHR0VBwcHdZsNGjRQ3N3dU43X3Nxc6dWrV5qOLaH485rcS19fX60XFhamAEr27NmVJ0+eqOWbN29WAOXPP/9Uy8qUKaMUL15caz8nTpxQAOW3335TyxLfY/H7MDMzS/L3WLRoUcXKykp5/PixWnbu3DlFR0dHadeunVoWf3927NhRa/1GjRop2bNn1yqLP8awsDC1bMGCBQqgWFtba33ODBkyRAHUunFxcUq+fPkUHx8frWv9+vVrxdHRUalevfoHxWRsbJzsPfr69eskZUePHk1yTuP/jdi/f3+S+gmldN319fWVgIAArbopbTP+eiX8t6N9+/YKoAwePFirblBQkAIoPXv21Cpv3bq1AiijRo1Syzp16qTY2Ngojx490qrbsmVLxdzcXD0X8XG5ubkpUVFRar2ZM2cqgHLhwoUUj//58+cKoDRo0CDFOokldw18fHwUJycnrTJ3d/dkP4PHjBmjGBsbK//8849W+eDBgxVdXV3l5s2biqIoyoYNGxRAmTFjhlonNjZWqVKlSpLznd6/i1atWiWJK/Fnenh4uKKrq6uMGzdOq96FCxeULFmyqOVnz55VAOX3339Pss30kC6IQohkmZiYpDoaooWFBQCbN2/+4AfK9fX16dChQ5rrt2vXDlNTU/V906ZNsbGxYfv27R+0/7Tavn07urq69O3bV6u8f//+KIqSZPSsatWqqb/gAhQuXBgzMzOuX7/+3v1YW1vTqlUrtSxr1qz07duXiIgIDhw48EHxP378mF27dmltt0mTJmo3lnh3797lwoULtGvXDhMTE7W8UqVKeHh4aG3z999/x9zcnOrVq/Po0SP1Vbx4cUxMTNi/f79W/YIFC6otjfCuxS5//vxa52TDhg0UKVJEbQFJKL6rSLVq1bC1tWXlypXqsosXL3L+/Pk0/3rdoEED/vrrL62Xj49PmtZN7H3XOjY2ll27dtGwYUPy5s2r1nNzc0vXPrt27arVXaZChQrExsaqXd727t1LTEwMPXv21FqvT58+ad7H+fPnuXDhgtZ90qpVKx49esSuXbvUsk2bNhEXF8fIkSOTDBiSuEuPo6NjkuPcvn07Xl5ealcgePd507VrV8LDw9WudxYWFty+fVurq19iFhYWHD9+nLt376b5OBP65ZdfktwLyY2G16JFC60WrPh7OeH926JFC06fPk1oaKhatnbtWvT19WnQoMF7Y2nSpIlWS/a9e/cICgrC19eXbNmyqeWFCxemevXqyX7ude/eXet9hQoVePz4MS9evNAqr1q1qlYrQalSpdQYEn7GxpfHH2dQUBDXrl2jdevWPH78WP27f/XqFVWrVuXvv/9O8u9BWmNKTsKeDdHR0Tx+/BgXFxcsLCw+qptpwuu+YsUKvL296dy5Mxs3bvzgbQL06NFD6338NUr8b0fi1ixFUdiwYQP16tVDURStz1QfHx+eP3+e5Hg7dOig9YxgcvdkYvHnPOE1fp+E1yC+5bBSpUpcv349TV3ufv/9dypUqIClpaXWcVWrVo3Y2Fj+/vtvAHbu3EnWrFm1et3o6OiorWzxPsXfRXI2btxIXFwczZs314rT2tqafPnyqf+mxbdw7dq1K0n33vSQBEwIkayIiIhUP6RbtGhBuXLl6Ny5M7ly5aJly5asW7cuXclY7ty50/WQeb58+bTeazQaXFxcPvnzAInduHEDW1vbJOfDzc1NXZ5Qwi/a8SwtLZM8G5XcfvLly5fkS21K+0mrtWvXEh0djaenJyEhIYSEhPDkyRNKlSqllcjEbz+5EeASl127do3nz59jZWVFzpw5tV4RERE8ePBAq35azkloaCiFChVK9Vh0dHRo06YNmzZtUv/xW7lyJQYGBjRr1uw9Z+KdPHnyUK1aNa1Xcs9CpMX7juvhw4e8efMmyb0LkD9//g/eT3wyEL+flK5dtmzZ3tv1Ld6KFSswNjbGyclJvU8MDAzUUTPjhYaGoqOjk6ZBYJIbYfDGjRvJHnvi+/ynn37CxMQELy8v8uXLR69evZI8ZzRp0iQuXryInZ0dXl5e+Pn5vfeHjoS8vLyS3Ave3t5J6r3v/MO7bk46Ojpqt1BFUfj999+pVasWZmZm740l8bmKPw8pnav4xCe9cSZXL/5LpZ2dXbLl8etfu3YNgPbt2yf5u1+8eDFRUVFJvpSnNabkvHnzhpEjR6rPDuXIkYOcOXPy7NmzdD1vk1jC696mTRu2bdtGwYIF6d27N2/fvv2gbWbJkoU8efJold24cQMdHR2tH2kg6TV9+PAhz549Y+HChUnOa/yPlO/7TE3LeY2/D9Mz1czhw4epVq2a+qxVzpw51ee103INrl27xs6dO5McV7Vq1bSO68aNG9jY2CTpVpr4M+1D/i6S+xxKLk5FUciXL1+SWIODg9U4HR0d+fHHH1m8eDE5cuTAx8eHX375Jd33ozwDJoRI4vbt2zx//jzVoZgNDQ35+++/2b9/P9u2bWPnzp2sXbuWKlWqsHv3bq3nc1LbxqeW0sSKsbGxaYrpU0hpP0oqfc8/p/gvz+XKlUt2+fXr13FyckrXNuPi4rCystL6Yp5Q4mfSPuU5adeuHZMnT2bTpk20atWKVatWUbdu3bT3vU9FavdPcjLqWn/u/SiKwurVq3n16lWyidWDBw+IiIjQahlNi4/5G3dzc+Pq1ats3bqVnTt3smHDBubOncvIkSPx9/cH3j1fVKFCBf744w92797N5MmTmThxIhs3bvyk0yyk5fzb2tpSoUIF1q1bx9ChQzl27Bg3b95M8vxVSj7F52Fa75OU6r1v/fgf2CZPnpzi1CKJ75GPuXf79OnD0qVL6devH2XKlMHc3ByNRkPLli0/6VD+Ojo6eHt7M3PmTK5du4a7u3u6Pwv09fU/eAqJ+GP57rvvkn3mCdCaFgY+7LyamZlha2vLxYsX0xRXaGgoVatWpUCBAkybNg07Ozv09PTYvn0706dPT9M1iIuLo3r16gwaNCjZ5a6urmmK5WOk5W8rLi5OnSMzuXOb8L6eOnUqvr6+bN68md27d9O3b18mTJjAsWPHkiThKZEETAiRxPLlywHe20VKR0eHqlWrUrVqVaZNm8b48eMZNmwY+/fvp1q1ap98lvn4X1/jKYpCSEiI1j9MlpaWPHv2LMm6N27c0Eoy0hObvb09e/bs4eXLl1qtYFeuXFGXfwr29vacP3+euLg4rX/IP2Y/8aPY9e7dm0qVKmkti4uLo23btqxatYrhw4er209uJK3EZc7OzuzZs4dy5cp9skTa2dk5TV8MChUqhKenJytXriRPnjzcvHmT2bNnf5IYUrt/PkTOnDkxNDRMcu/CuwEqPpWE1y7hr72PHz9OU0vDgQMHuH37NqNHj1ZbouI9ffqUrl27smnTJr777jucnZ2Ji4vj8uXL6ZrfL2GsyR17cve5sbExLVq0oEWLFrx9+5bGjRszbtw4hgwZgoGBAQA2Njb07NmTnj178uDBA4oVK8a4ceMyZZ67Fi1a0LNnT65evcratWsxMjKiXr16H7St+POQ0rnKkSNHhg9zHt+SY2ZmprZgfAopfR6vX7+e9u3bM3XqVLUsMjIy2b/RjxUTEwO86/0B/9+ilHhf6fkssLe3Jy4ujtDQUK0Wm8TXNH6ExNjY2E96XpNTt25dFi5cyNGjRylTpkyqdf/880+ioqLYsmWLVotb4i7mkPI1dHZ2JiIi4r3HZW9vz/79+9XpaOIl/rfnc/1dODs7oygKjo6OaUoKPTw88PDwYPjw4Rw5coRy5coxf/78NE/bIV0QhRBa9u3bx5gxY3B0dEx1RLknT54kKYv/MhYVFQWgfgh+qn8sf/vtN62uE+vXr+fevXtaX7ScnZ05duyYVjeSrVu3JhlGNj2x1a5dm9jYWObMmaNVPn36dDQazSf7ole7dm3u37+vNbJdTEwMs2fPxsTEJEkClRbxLVSDBg2iadOmWq/mzZtTqVIltY6trS2FChXit99+U7+EwLsv5/FDVMdr3rw5sbGxjBkzJsk+Y2JiPuiaN2nShHPnzvHHH38kWZb4V922bduye/duZsyYQfbs2T/ZNXB2dub58+ecP39eLbt3716yMaWFrq4uPj4+bNq0iZs3b6rlwcHBWs9VfayqVauSJUuWJMNDJ75nUxLf/XDgwIFJ7pMuXbqQL18+9T5p2LAhOjo6jB49Oskv4Glp1ahduzYnTpzg6NGjatmrV69YuHAhDg4Oagvc48ePtdbT09OjYMGCKIpCdHQ0sbGxSbr9WFlZYWtrq34GZbQmTZqgq6vL6tWr+f3336lbt+4HJ0k2NjYULVqUZcuWaf09Xbx4kd27d1O7du1PFHXaFS9eHGdnZ6ZMmaL1GREv8dQIaWVsbJzsZ4aurm6Se2r27NkptkJ9qOjoaHbv3o2enp76A4S9vT26urrqM0rx5s6dm+btxn8uzZo1S6s8fuS/eLq6ujRp0oQNGzYk+yPUh57X5AwaNAhjY2M6d+7Mv//+m2R5aGgoM2fOVOMC7b/r58+fs3Tp0iTrpXQNmzdvztGjR5P9vHv27Jma+Pr4+BAdHc2iRYvU5XFxcfzyyy9a63yuv4vGjRujq6uLv79/kntOURT18+jFixdqzPE8PDzQ0dFJ1+eOtIAJ8R+2Y8cOrly5QkxMDP/++y/79u3jr7/+wt7eni1btqi/MCdn9OjR/P3339SpUwd7e3sePHjA3LlzyZMnj/pwvbOzMxYWFsyfPx9TU1OMjY0pVapUmvpjJydbtmyUL1+eDh068O+//zJjxgxcXFy0Htrt3Lkz69evp2bNmjRv3pzQ0FBWrFiRpA9+emKrV68e3t7eDBs2jPDwcIoUKcLu3bvZvHkz/fr1S7LtD9W1a1cWLFiAr68vp0+fxsHBgfXr13P48GFmzJiRrgen461cuZKiRYsmebYjXv369enTpw9nzpyhWLFijB8/ngYNGlCuXDk6dOjA06dPmTNnDoUKFdL6wlWpUiW6devGhAkTCAoKokaNGmTNmpVr167x+++/M3PmTJo2bZquWAcOHMj69etp1qwZHTt2pHjx4jx58oQtW7Ywf/58ihQpotZt3bo1gwYN4o8//qBHjx6fbPLsli1b8tNPP9GoUSP69u3L69evmTdvHq6urh/80L+/vz87d+6kQoUK9OzZU02q3d3dtRK9j5ErVy6+//57pk6dSv369alZsybnzp1jx44d5MiRI9UW36ioKDZs2ED16tVT/JuvX78+M2fO5MGDB7i4uDBs2DDGjBlDhQoVaNy4Mfr6+pw8eRJbW9v3zsU2ePBgVq9eTa1atejbty/ZsmVj2bJlhIWFsWHDBrX1t0aNGlhbW1OuXDly5cpFcHAwc+bMoU6dOpiamvLs2TPy5MlD06ZNKVKkCCYmJuzZs4eTJ09qtZikJv4zMLGyZcumu1suvEsAvb29mTZtGi9fvqRFixbp3kZCkydPplatWpQpU4ZOnTqpw22bm5vj5+f3Udv+EDo6OixevJhatWrh7u5Ohw4dyJ07N3fu3GH//v2YmZnx559/pnu7xYsXZ8+ePUybNg1bW1scHR0pVaoUdevWZfny5Zibm1OwYEGOHj3Knj17Up3OIy0SXvcHDx6watUqrl27xuDBg9XnpMzNzWnWrBmzZ89Go9Hg7OzM1q1bkzyLlZqiRYvSqlUr5s6dy/Pnzylbtix79+5NtpfBzz//zP79+ylVqhRdunShYMGCPHnyhDNnzrBnz55kf/T8EM7OzqxatYoWLVrg5uZGu3btKFSoEG/fvuXIkSPq1Cfw7m9QT0+PevXq0a1bNyIiIli0aBFWVlbcu3dPa7vFixdn3rx5jB07FhcXF6ysrKhSpQoDBw5ky5Yt1K1bV5165NWrV1y4cIH169cTHh5Ojhw5aNiwIV5eXvTv35+QkBAKFCjAli1b1ONO+Bn2Of4unJ2dGTt2LEOGDCE8PJyGDRtiampKWFgYf/zxB127dmXAgAHs27eP3r1706xZM1xdXYmJiWH58uVqEp1mHzWGohDiq5R4KF49PT3F2tpaqV69ujJz5kytYYjjJR6yde/evUqDBg0UW1tbRU9PT7G1tVVatWqVZKjZzZs3KwULFlSyZMmiNZRspUqVUhxiOqVh6FevXq0MGTJEsbKyUgwNDZU6depoDe0db+rUqUru3LkVfX19pVy5csqpU6eSbDO12JIbivzly5fKDz/8oNja2ipZs2ZV8uXLp0yePFlrKGZFeTfEc3LDYqc0PH5i//77r9KhQwclR44cip6enuLh4ZHsUPlpGYb+9OnTCqCMGDEixTrh4eEKoPzwww9q2Zo1a5QCBQoo+vr6SqFChZQtW7YoTZo0UQoUKJBk/YULFyrFixdXDA0NFVNTU8XDw0MZNGiQcvfu3ffGmtw1efz4sdK7d28ld+7cip6enpInTx6lffv2SYZmVhRFqV27tgIoR44cSfU8JJTS9Ulo9+7dSqFChRQ9PT0lf/78yooVK1Ichj6t1/rAgQNK8eLFFT09PcXJyUmZP39+sttMaRj6xFNGJDdEdkxMjDJixAjF2tpaMTQ0VKpUqaIEBwcr2bNnV7p3757i8cYP/7xkyZIU68RPRZBwyodff/1V8fT0VPT19RVLS0ulUqVKyl9//aV1LCndo6GhoUrTpk0VCwsLxcDAQPHy8lK2bt2qVWfBggVKxYoVlezZsyv6+vqKs7OzMnDgQOX58+eKoihKVFSUMnDgQKVIkSKKqampYmxsrBQpUkSZO3duiscRL7Vh6BN+FsQPOT558uQk2yDRMOLxFi1apACKqamp8ubNmyTLUxqGPrl9KIqi7NmzRylXrpxiaGiomJmZKfXq1VMuX76sVSf+Xko8LUj8cSYccj65+zalGOLvs8RDbp89e1Zp3Lixem3s7e2V5s2bK3v37v2gmK5cuaJUrFhRMTQ01Jo24enTp+rnoYmJieLj46NcuXIlyd/JxwxDb2BgoBQtWlSZN29eks/zhw8fKk2aNFGMjIwUS0tLpVu3bsrFixeTHYbe2Ng42X2+efNG6du3r5I9e3bF2NhYqVevnnLr1q1k759///1X6dWrl2JnZ6dkzZpVsba2VqpWraosXLgwybEmvibJDY+fmn/++Ufp0qWL4uDgoOjp6SmmpqZKuXLllNmzZyuRkZFqvS1btiiFCxdWDAwMFAcHB2XixInKr7/+muQa3r9/X6lTp45iamqqAFqf7S9fvlSGDBmiuLi4KHp6ekqOHDmUsmXLKlOmTFHevn2rdb5bt26tmJqaKubm5oqvr69y+PBhBVDWrFmjFf/H/F0kXJbYhg0blPLlyyvGxsaKsbGxUqBAAaVXr17K1atXFUVRlOvXrysdO3ZUnJ2dFQMDAyVbtmyKt7e3smfPnjSd93gaRcmkp8KFEEJ8NYoWLUrOnDn566+/MjsUVaNGjbhw4UKyvyaLd549e4alpSVjx45VJ0gVQoivxaZNm2jUqBGHDh1KcSCpr5E8AyaEEEIVHR2dpH97YGAg586do3LlypkTVDLu3bvHtm3baNu2bWaH8sV48+ZNkrL4Z02+pGsnhBDJSfwZFhsby+zZszEzM6NYsWKZFNXnIc+ACSGEUN25c4dq1arx3XffYWtry5UrV5g/fz7W1tZpmszycwsLC+Pw4cMsXryYrFmz0q1bt8wO6Yuxdu1aAgICqF27NiYmJhw6dIjVq1dTo0aNb+qXYyHEt6lPnz68efOGMmXKEBUVxcaNGzly5Ajjx4//LNPWZCZJwIQQQqgsLS0pXrw4ixcv5uHDhxgbG1OnTh1+/vnnj37w/VM4cOAAHTp0IG/evCxbtgxra+vMDumLUbhwYbJkycKkSZN48eKFOjBHWodFFkKIzFSlShWmTp3K1q1biYyMxMXFhdmzZ9O7d+/MDu2Tk2fAhBBCCCGEECKDyDNgQgghhBBCCJFBJAETQgghhBBCiAwiz4AJIYQQX5i4uDju3r2LqalpqpMoi/8GRVF4+fIltra26kTVQoivlyRgQgghxBfm7t272NnZZXYY4gtz69Yt8uTJk9lhCCE+kiRgQgghxBfG1NQUePeF28zMLJOjEZntxYsX2NnZqfeFEOLrJgmYEEII8YWJ73ZoZmYmCZhQSXdUIb4N0pFYCCGEEEIIITKIJGBCCCGEEEIIkUEkARNCCCGEEEKIDCLPgAkhhBBfqdjYWKKjozM7DPGZvX37Fnt7e96+fUtkZGRmhyM+QNasWdHV1c3sMMQXQqMoipLZQQghhBDi/7148QJzc3OeP3+e7CAciqJw//59nj17lvHBiQwXFxfHrVu3sLOzk3nAvmIWFhZYW1vLYCpCWsCEEEKIr0188mVlZYWRkZF8ofvGxcbG8ubNGxwcHKQV5SukKAqvX7/mwYMHANjY2GRyRCKzSQImhBBCfEViY2PV5Ct79uyZHY7IALGxsQAYGBhIAvaVMjQ0BODBgwdYWVnJdfyPk3ZsIYQQ4isS/8yXkZFRJkcihEiP+L9ZeW5TSAImhBBCfIWk26EQXxf5mxXxJAETQgghhBBCiAwiCZgQQgghhBBCZBBJwIQQQgjxTbp//z59+vTByckJfX197OzsqFevHnv37gXAwcEBjUaT5PXzzz+r2/jjjz8oXbo05ubmmJqa4u7uTr9+/TIk/sDAQDQajUw3IMQ3RkZBFEIIIcQ3Jzw8nHLlymFhYcHkyZPx8PAgOjqaXbt20atXL65cuQLA6NGj6dKli9a6pqamAOzdu5cWLVowbtw46tevj0aj4fLly/z1118Zfjxfgrdv36Knp5fZYQjx1ZMETAghhPhCFRq1i5vmnbULTeyg3FR48AayfNhD/ZcSfYl2uq98aIhfrG49ekBMDAeWLsXYyAjevgWgR40atCpdmjcXL6JER2MQEYH5o0faKz96xBvgj4AAyhQtSu9ateB/I9fZubjg4+LCm4sX0xTHtsBAJsyfz6Vr1zAxMqJssWKsnTkTgFV//skvK1ZwLTwcI0NDKnt5MTsgACsrK8LDw/H29gYgR44cALRr145ly5YRFxfHxIkTWbhwIffv38fV1ZURI0bQtGlTdb9btmyhf//+3Lp1izJlyuDr64uvry9Pnz7FwsICgA0bNjBy5EhCQkKwsbGhT58+9O/fX92Gg4MDnTp14tq1a2zatInGjRtz8+ZNChYsyJw5c9R6Dx8+JHfu3OzYsYOqVaum/SIJ8R8lXRCFEEII8U158vw5fx0+TLdWrd4lX4lYmJmlaTu5smcnODSUS9eufVAcO/7+m5b9+uFToQJHf/+dbYsXU8LDQ10eHRPDyN69Ob5+PetmzuTG3bv4+voCYGdnx4YNGwC4fPkyO3bsYPr06QBMmDCB3377jfnz53Pp0iV++OEHvvvuOw4cOABAWFgYTZs2pWHDhpw7d45u3boxbNgwrdhOnz5N8+bNadmyJRcuXMDPz48RI0YQEBCgVW/KlCkUKVKEs2fPMmLECDp37syqVauIiopS66xYsYLcuXNTpUqVDzpPQvzXaBRF+fZ+9hJCCCG+Yi9evMDc3By7fuuStIBFmtgRVm4qjrlzYiAtYMk6eeEClVq3ZvWMGTRIpUWmgI8P9x8+JGsW7Q5Bm+bNo1zx4rx6/ZrvBgxg18GD5LW1xatwYaqWLUvLOnXQT0NXPO/vvsMxTx5+TfBMWWpOX7pEhZYtefnyJSYmJgQGBuLt7c2jR48ICwvD09OTmJgYsmXLxp49eyhTpoy6bufOnXn9+jWrVq1i8ODBbNu2jQsXLqjLhw8fzrhx49QWsDZt2vDw4UN2796t1hk0aBDbtm3j0qVLwLsWME9PT/744w+1TmRkJLa2tsyfP5/mzZsDUKRIERo3bsyoUaPSdJz/VZGRkYSFheHo6IiBgUFmhyMykXRBFEIIIcQ3JT2/Lffz9aVtw4ZaZbZWVgAYGxnxx9y5XL91iwMnTnDi/HmGTJ7M3BUr2L9iBUaGhqlu+/zVq3Ro0iTF5WcuXWLcvHlcuHqVZy9eEPe/uOO7+SUnJCSE169fU716da3yt2/f4unpCcDVq1cpWbKk1nIvLy+t98HBwTRo0ECrrFy5csyYMYPY2Fh0dXUBKFGihFYdAwMD2rZty6+//krz5s05c+YMFy9eZMuWLSkepxBCmyRgQgghhPimuNjbo9Fo+Ccs7L11c1ha4pw3b6p1nOzscLKzo0OTJvzUpQuF69Vj/c6dtGvUKNX1DPX1U1z26vVrGnTvTrWyZVn688/ksLTk1v371O/Wjbf/e14tOREREQBs27aN3Llzay3TT2V/H8rY2DhJWefOnSlatCi3b99m6dKlVKlSBXt7+0++byG+VfIMmBBCCCG+KdnMzalWtiwLVq/m1evXSZY/e/Hig7dtnzs3RgYGvHrz5r11C7m6Enj8eLLLroaF8fjZM8b88APlihcnv5MTDx8/1qoTP+JgbGysWlawYEH09fW5efMmLi4uWi87OzsA8ufPz6lTp7S2dfLkSa33bm5uHD58WKvs8OHDuLq6qq1fKfHw8KBEiRIsWrSIVatW0bFjx1TrCyG0SQuYEEIIIb45M4YNo0q7dlRs3ZoRvXpRyNWVmNhY9h09yqK1azn7vy5zL1+94n6iURCNDAwwMzFh7Ny5vImMxKdCBfLa2PDs5UvmrlxJdEwMVRM8f5WSoT16ULtzZxzt7GhWqxYxMTHsOniQ/p06YWdjg17WrMxbtYrOzZpxKSSEnxcu1Frf/n8tedu2bSNPnjxERERgbm7OgAED+OGHH4iLi6N8+fI8f/6cw4cPY2ZmRvv27enWrRvTpk3jp59+olOnTgQFBamDa2g0754b7N+/PyVLlmTMmDG0aNGCo0ePMmfOHObOnZum89u5c2d69+6NsbExjd7TEiiE0CYtYEIIIYT45jja2XFk3ToqlizJ4ClTKNGoEXW7dGH/sWPMHDFCrTfml19w8vbWeg2bNg2ACiVKEHb7Np2HDqVo/fo07NGDfx894s8FC3B1dHxvDBVLlmTF1KlsCwykdNOm1O7cmVP/G74+Z7ZsLBw7lo27d1OsYUOmLlnC+ARDwAPkzp0bf39/hg4dio+PD3379n0X85gxjBgxggkTJuDm5kbNmjXZtm0bjv+LydHRkfXr17Nx40YKFy7MvHnz1FEQ47spFitWjHXr1rFmzRoKFSrEyJEjGT16tDoK4/u0atWKLFmy0KpVKxlQQoh0klEQhRBCiC+MjIL432VYqFCSstjYWM6ePYunp+d7uwemZNy4ccyfP59bt259bIjAu4munZ2dOXnyJMWKFfsk2/zWySiIIp50QRRCCCGE+MbMnTuXkiVLkj17dg4fPszkyZPp3bv3R283Ojqax48fM3z4cEqXLi3JlxAfQBIwIYQQQogPULxhQ27evZvsstkjR9Kybt0Mjuj/Xbt2jbFjx/LkyRPy5s1L//79GTJkyEdv9/Dhw3h7e+Pq6sr69es/QaRC/PfIM2BC/McEBARgYWGhvvfz86No0aJadfz8/MiVKxcajYZNmzZ91ngcHByYMWPGZ93H1yS56/Etyoh7KzMlvo6+vr40TDTXlPj6/TF3LsfWr0/2VcfbO1Njmz59Onfv3iUyMpJ//vmHESNGkCXLx//uXrlyZRRF4erVq3h4eHyCSIX475EETIivyP379+nTpw9OTk7o6+tjZ2dHvXr12Lt37wdvc8CAAVrrBwcH4+/vz4IFC7h37x61atX6FKGn6OTJk3Tt2vWjtnHu3Dnq16+PlZUVBgYGODg40KJFCx48eABAYGAgGo2GZ8+efYKIkyaxn1Li6/EhXrx4wYgRI3B3d8fQ0JDs2bNTsmRJJk2axNOnTz9RpGnzqRPKkJAQOnToQJ48edDX18fR0ZFWrVolGXI7s32K6yi+fHltbXHOmzfZl2ky82cJIQRIF0Qhvhrh4eGUK1cOCwsLJk+ejIeHB9HR0ezatYtevXpx5cqVD9quiYkJJiYm6vvQ0FAAGjRooA5X/CGio6PJmjXre+vlzJnzg/cB8PDhQ6pWrUrdunXZtWsXFhYWhIeHs2XLFl69epWubb19+1addyezJL4e6fXkyRPKly/PixcvGDNmDMWLF8fc3JyrV6+ydOlSVq1aRa9evZJd90s4/tScOnWKqlWrUqhQIRYsWECBAgV4+fIlmzdvpn///hw4cCCzQ1R97HUUQgjx7ZIWMCG+Ej179kSj0XDixAmaNGmCq6sr7u7u/Pjjjxw7dkytN23aNDw8PDA2NsbOzo6ePXsSERGR4nYTtlD4+flRr149AHR0dNQELC4ujtGjR6utDkWLFmXnzp3qNsLDw9FoNKxdu5ZKlSphYGDAypUr1W5XU6ZMwcbGhuzZs9OrVy+io6PVdRN3QUxv/IcPH+b58+csXrwYT09PHB0d8fb2Zvr06Tg6OhIeHo73/7oCWVpaotFo1GGWK1euTO/evenXrx85cuTAx8fnvTEEBgbSoUMHnj9/jkajQaPR4OfnB0BUVBQDBgwgd+7cGBsbU6pUKQIDA7XiXbRoEXZ2dhgZGdGoUSOmTZv23i6hv/76K+7u7ujr62NjY5Pqg/RDhw7l5s2bnDhxgg4dOlC4cGHs7e2pUaMGq1evpmfPnlrnfsyYMbRr1w4zMzO1JXLDhg3q/hwcHJg6daq6zpw5cyiUYJS2TZs2odFomD9/vlpWrVo1hg8fTkBAAP7+/pw7d049V/FzEQE8evSIRo0aYWRkRL58+djyv3mZkqMoCr6+vuTLl4+DBw9Sp04dnJ2dKVq0KKNGjWLz5s1q3QsXLlClShW19a9r165a91DlypXp16+f1vYbNmyoNfy2g4MD48ePp2PHjpiampI3b14WJpqj6fbt27Rq1Yps2bJhbGxMiRIlOP6/SXf/K11JhRBCpJ8kYEJ8BZ48ecLOnTvp1asXxsl0a0n4BV5HR4dZs2Zx6dIlli1bxr59+xg0aFCa9jNgwACWLl0KwL1797h37x4AM2fOZOrUqUyZMoXz58/j4+ND/fr1uXbtmtb6gwcP5vvvvyc4OFhNZvbv309oaCj79+9n2bJlBAQEaH0JTyy98VtbWxMTE8Mff/xBcrNq2NnZsWHDBgCuXr3KvXv3mDlzprp82bJl6OnpcfjwYTWJSC2GsmXLMmPGDMzMzNRzNGDAAAB69+7N0aNHWbNmDefPn6dZs2bUrFlTPU+HDx+me/fufP/99wQFBVG9enXGjRuX8gUB5s2bR69evejatSsXLlxgy5YtuLi4JFs3Li6OtWvX8t1332Fra5tsncStmlOmTKFIkSKcPXuWESNGcPr0aZo3b07Lli25cOECfn5+jBgxQr1mlSpV4vLlyzx8+BCAAwcOkCNHDjXRjI6O5ujRo1SuXJkWLVrQv39/3N3d1XPVokULdd/+/v40b96c8+fPU7t2bdq0acOTJ0+SjTsoKIhLly7Rv39/dHSS/tMV/zfw6tUrfHx8sLS05OTJk/z+++/s2bPng0Z/mzp1KiVKlODs2bP07NmTHj16cPXqVQAiIiKoVKkSd+7cYcuWLZw7d45BgwYRFxeX7v3Au+T9xYsXWi8hhBDfJumCKMRXICQkBEVRKFCgwHvrJvxl38HBgbFjx9K9e3fmzp373nVNTEzUL7LW1tZq+ZQpU/jpp59o2bIlABMnTmT//v3MmDGDX375RWvfjRs31tqmpaUlc+bMQVdXlwIFClCnTh327t1Lly5dPkn8pUuXZujQobRu3Zru3bvj5eVFlSpVaNeuHbly5UJXV5ds2bIBYGVlleTZrXz58jFp0qQ0x6Cnp4e5uTkajUbrHN28eZOlS5dy8+ZNNfkZMGAAO3fuZOnSpYwfP57Zs2dTq1YtNWFzdXXlyJEjbN26NdljAxg7diz9+/fn+++/V8tKliyZbN2HDx/y7Nkz8ufPr1VevHhxNXGoV68eq1evVpdVqVKF/gkmf23Tpg1Vq1ZlxP8mqnV1deXy5ctMnjwZX19fChUqRLZs2Thw4ABNmzYlMDCQ/v37q0ntiRMniI6OpmzZshgaGmJiYkKWLFm0zlU8X19fWrVqBcD48eOZNWsWJ06coGbNmknqxiex7/sbWLVqFZGRkfz222/qjxVz5syhXr16TJw4kVy5cqW6fkK1a9dWWwx/+uknpk+fzv79+8mfPz+rVq3i4cOHnDx5Ur2/UkqM02LChAn4+/t/8PpCCCG+HtICJsRXID3zpe/Zs4eqVauSO3duTE1Nadu2LY8fP+b169cftO8XL15w9+5dypUrp1Verlw5goODtcpKlCiRZH13d3etiUNtbGzUwTE+Vfzjxo3j/v37zJ8/H3d3d+bPn0+BAgW4cOHCe4+vePHinySGCxcuEBsbi6urq/r8j4mJCQcOHFCfq7t69SpeXl5a6yV+n9CDBw+4e/cuVatWfe9xpOaPP/4gKCgIHx8f3rx5o7Us8TULDg5O9lpfu3aN2NhYNBoNFStWJDAwkGfPnnH58mV69uxJVFQUV65c4cCBA5QsWRIjI6P3xlW4cGH1/42NjTEzM0vx3kjr30BwcDBFihTRaikuV64ccXFxahKaVgnji0+44+MLCgrC09NTTb4+1pAhQ3j+/Ln6+lST5QohhPjySAImxFcgX758aDSa9w60ER4eTt26dSlcuDAbNmzg9OnTagvV27dvP3ucyXWPTDwQh0ajSbGb1sfEnz17dpo1a8aUKVMIDg7G1taWKVOmpDvmD40hIiICXV1dTp8+TVBQkPoKDg7W6vKYHoaGhumqnzNnTiwsLJIkGnnz5sXFxQVTU9Mk6yR3zd6ncuXKBAYGcvDgQTw9PTEzM1OTsgMHDlCpUqU0bSc994arqyvABw82k5COjk6ShC7hc4lpiS+91+Z99PX1MTMz03r9ly3ftAmbsmXTtU7XYcNo3rfvZ4ro08nIOJcsWUKNGjUyZF+ZZfDgwfTp0yezwxAiXSQBE+IrkC1bNnx8fPjll1+SHdkvfnj106dPExcXx9SpUyldujSurq7cTWGS0LQyMzPD1taWw4cPa5UfPnyYggULftS2E/tU8evp6eHs7Kyeq/iR/WJjYz9JDHp6ekm25enpSWxsLA8ePMDFxUXrFd/9Ln/+/Jw8eVJrvcTvEzI1NcXBwSHNw5nr6OjQvHlzVqxY8cHX3c3NLdlr7erqqrZkxj8H9vvvv1O5cmXgXVK2Z88eDh8+rJZB8ufqQxQtWpSCBQsyderUZJO0+L8BNzc3zp07p/V3cvjwYXR0dNSumTlz5lSfb4R398XFixfTFU/hwoUJCgpK8Zm1zOIw626aXnWmhGu93FbcSPfrQ6SUfPx98iRGHh48+9+zb01r1uTcn39+1LlIi+WbNmHk4aG+cnp5UbZ5czbt2fPZ9/25RUZGMmLECEaNGqWWBQQEqAPixL8MDAy01lMUhZEjR2JjY4OhoSHVqlVL8rxvYsltN/6VeDqQxK/79++r21m5ciV2dnZYWlry448/au0jPDwcV1fXJM9HDhgwgGXLlnH9+vUPOk9CZAZJwIT4Svzyyy/Exsbi5eXFhg0buHbtGsHBwcyaNYsyZcoA755BiY6OZvbs2Vy/fp3ly5drjU73oQYOHMjEiRNZu3YtV69eZfDgwQQFBWk9l/QpfEj8W7du5bvvvmPr1q38888/XL16lSlTprB9+3YaNGgAgL29PRqNhq1bt/Lw4cNUR1VMSwwODg5ERESwd+9eHj16xOvXr3F1daVNmza0a9eOjRs3EhYWxokTJ5gwYQLbtm0DoE+fPmzfvp1p06Zx7do1FixYwI4dO1Id7t/Pz4+pU6cya9Ysrl27xpkzZ5g9e3aK9cePH0/u3Lnx8vLi119/5fz584SGhvLHH39w9OhRre6gyenfvz979+5lzJgx/PPPPyxbtow5c+aoz63Bu+TD0tKSVatWaSVgmzZtIioqSqsLo4ODA2FhYQQFBfHo0SOioqJS3X9KNBoNS5cu5Z9//qFChQps376d69evc/78ecaNG6de6zZt2mBgYED79u25ePEi+/fvp0+fPrRt21Z9/qtKlSps27aNbdu2ceXKFXr06JHuOeJatWqFtbU1DRs25PDhw1y/fp0NGzZw9OjRDzo+oc3QwACr7NkzZF9mJiZc37+f6/v3c/T336lWrhxtBwzgn7Cwj9pucq2qGWn9+vWYmZkl6VKccAChe/fuceOGdjI9adIkZs2axfz58zl+/DjGxsb4+PgQGRmZ4r5atGihtc179+7h4+NDpUqVsLKy0qobPxhS/Ct++aNHj+jcuTNTpkxh9+7drFixQuv52J49e/Lzzz8naR2OH8F23rx5H3SehMgMkoAJ8ZVwcnLizJkzeHt7079/fwoVKkT16tXZu3ev+g9PkSJFmDZtGhMnTqRQoUKsXLmSCRMmfPS++/bty48//kj//v3x8PBg586dbNmyhXz58n30thP6kPgLFiyIkZER/fv3p2jRopQuXZp169axePFi2rZtC0Du3Lnx9/dn8ODB5MqVK9UR8dISQ9myZenevTstWrQgZ86c6iAeS5cupV27dvTv35/8+fPTsGFDTp48Sd68eYF3zyLNnz+fadOmUaRIEXbu3MkPP/yQ5BfohNq3b8+MGTOYO3cu7u7u1K1bN9Vfo7Nnz86JEydo164dkydPxsvLCw8PD/z8/GjRogWLFi1K9XwWK1aMdevWsWbNGgoVKsTIkSMZPXq01hDtGo2GChUqoNFoKF++PPAuKTMzM6NEiRJa3RqbNGlCzZo18fb2JmfOnFoDgKSXl5cXp06dwsXFhS5duuDm5kb9+vW5dOmSOpWBkZERu3bt4smTJ5QsWZKmTZtStWpV5syZo26nY8eOtG/fnnbt2lGpUiWcnJzUqQrSSk9Pj927d2NlZUXt2rXx8PDg559/fm+CK9ImuS6IPy9YgH2lSliVKkWPUaMYMX06pZo2TbLujIAAHL29yVO+PP3Gjn1vIqTRaLDOkQPrHDlwsbfHr08fdDQaLv7zj1rHyMODLYlaom3KlmX5pk0A3LhzByMPD9bv3EkNX18sixdnzbZtxMbG8tOkSdiULUue8uUZNm0aiZ9mjIuLY/LixbjVrEm2EiUoUqQI69evV5cHBgaSJUsWTpw4QalSpTAyMqJs2bLvfaZxzZo16rQiSY7X2lp9JRyYRlEUZsyYwfDhw2nQoAGFCxfmt99+4+7du2z637Emx9DQUGuburq67Nu3j06dOiWpa2VlpVU3flTT69evY25uTosWLShZsiTe3t7qc8arV68ma9asSQZ5ilevXj3WrFmT6vkQ4kuiUdLzdL8QQohPqkuXLly5coWDBw9mdijiC/LixQvMzc2x67eOm+adtZZFmtgRVm4qjrlzYpBFu/XUYdbHdTlOj+Dv7NO9Ttdhw3j28iXrZs3SKv/75ElqduzI3cOHsTAzY/mmTQyaNIl7R44AsGbrVnr6+TFj2DDKeHry+44dzPrtN+xz5+b4/5KVrsOGsWXfPprXrk2vNm0IvXWLdgMHMmnQIDomk6gBSfYTGxvLyi1b6DN6NGe3bMHJzg54l4CtmTGD+gkGxLEpW5ZJgwbRtmFDbty5g1vNmtjnzs2EAQMoWqAA+vr6rP7zT6YuWcIv/v4UcHJi5rJlbNy1i0peXuo5mLhwIWu2bmXSTz/hkjcvJ/79l+7du7Nr1y4qVapEYGAg3t7eFCpUiJkzZ2JtbU337t2JjY1N0l04IQsLCxYsWKA19UNAQACdO3cmd+7cxMXFUaxYMcaPH4+7uzvwLglydnbm7NmzWvPYVapUiaJFi6b5edapU6cyZswY7t27pz4vGX8c9vb2REVFUahQIfz8/NQWuqdPn2Jvb8+BAwewt7enRIkSzJs3Dy8vL0qWLMn+/fux+9/1SOzKlSu4ubkRFhaGg4NDmmLMDJGRkYSFheHo6JjqD2/i2yfD0AshRAaaMmUK1atXx9jYmB07drBs2bI0TREgxLdix99/kzPR6J+x75k/bd7q1bRv1Ih2jRoBMLRHD/YePUpEopFJLczMmD50KLq6uuR3cqJmhQoEHj+eYgIG8PzlSzWeN1FRZM2ShTmjRqnJV3r0/u47Glarpr6fs2IFAzp3VstmjxjBngRJU9Tbt0xevJhtCxdS6n8JT8FatTh06BALFizQGtCmR48eVKpUCV1dXQYPHkydOnWIjIxM9ov8s2fPeP78eZL5APPnz8+vv/5K4cKFef78OVOmTKFs2bJcunSJPHnyqM9jJZ6uIVeuXFrPar3PkiVLaN26tdZgNTY2NsyfP58SJUoQFRXF4sWLqVy5MsePH6dYsWJYWlqybNky2rVrx5s3b2jXrh0+Pj506tSJ3r17ExYWRv369YmOjsbPz4+mCa5p/HHeuHHji07AhIgnCZgQQmSgEydOMGnSJF6+fImTkxOzZs2ic+fO719RiG9EpZIlmfm/eebinTx/no5DhqS4zrWwMLomaMkBKFGoEIEnTmiVuTk7a3UDtc6Zk0vvGUDC1NiYI+vWAfD6zRv2HztG3zFjyGZhQZ0EA8qkRbH/tSTBu8Tu/sOHlPTwUMuyZMlCMXd3dRTO0Js3ef3mDXW7dv3/jejo8PbtWzw9PbW2nbDLt42NDfBuqor4Ls4JxU83kTg5K1OmjPrMMLzrTu3m5saCBQsYM2ZMmo6xVq1aaou9vb09ly5d0lp+9OhRgoODWb58uVZ5/vz5teYoLFu2LKGhoUyfPl2t26hRIxr9L8mGdxO9nz9/ntmzZ+Pi4sLq1auxtrbGy8uLihUrqs+PxSd6HzrdihAZTRIwIYTIQOv+90VPiP8qI0NDnBMlDXf+/feTbDtrFu2vNalNbRBPR0dHKx6P/PnZc/Qo0379VU3ANBpNkme3omNikmzLKJ3TE8S34G385Rds/9fqZPC/KRf09fW16mZJcGzxA/ekdGzZs2dHo9Hw9OnTVPefNWtWPD09CQkJAVBHbP3333/VJC/+fXyXxMWLF6sJXuKpGuKXFy1aNNk5FhPz8vLi0KFDyS6LioqiZ8+eLF++nJCQEGJiYtQWQVdXV44fP64+4xY/GmnOnDnfu08hvgQyCIcQQgghvmj5HB05nWiqgNOJWl4+JV0dHd4kGPUvp6Ul9x8+VN+H3LjB60STmidmbmqKdc6cnEwwIXxMTAxnL19W37s5O6Ovp8et+/dxzpsX5//N2efi4pLi805poaenR8GCBbmcYF/JiY2N5cKFC2qy5ejoiLW1tdbUFy9evOD48eNqy1nu3LnVGO3ttZ8DjIiIYN26dckOvpGcoKAgrUQvobFjx1KzZk2KFStGbGwsMQkS3ujoaK3pLS5evEjWrFnVZ9mE+NJJC5gQQgghvmg9WrWil78/xdzdKV20KOt37uTiP//gkCfPR29bURTuP3oEvBskYe/Ro+w5coQh3bqpdSqVKsWC1aspVaQIsXFxjJg+PUlrW3J6tWnD1CVLcM6bl/yOjsz67Teev3ypLjc1Nub79u35adIk4uLiKFusGFFv33L48GHMzMxo3779Bx+Xj48Phw4dol+/fmrZ6NGjKV26NC4uLjx79ozJkydz48YNtRu0RqOhX79+jB07lnz58uHo6MiIESOwtbWlYcOG793n2rVriYmJ4bvvvkuybMaMGTg6OuLu7k5kZCSLFy9m37597N69O0ndy5cvs3btWs6ePQtAgQIF0NHRYcmSJVhbW3PlyhVKliyp1j948CAVKlT45BOkC/G5SAImhBBCiC9ay7p1Cbt9m6FTpxIZFUVjHx++a9CAUwlalz7Ui4gInP43DYG+nh55bW0Z0asX/Tt2VOtMGDCA7iNGUL19e2ysrJj8009aLVkp+b59e+4/ekTX4cPR0Who16gR9atW1UrCRvXpQ85s2ZiyeDFht29jYWlJsWLFGDp06EcdV6dOnShRogTPnz/H3NwceDfSYJcuXbh//z6WlpYUL16cI0eOULBgQXW9QYMG8erVK7p27cqzZ88oX748O3fuTNOofUuWLKFx48ZYWFgkWfb27Vv69+/PnTt3MDIyonDhwuzZsyfJFBCKotC1a1emTZumTmlhaGhIQEAAvXr1Iioqijlz5pA7d251nTVr1uDn5/cBZ0mIzCHD0AshhBBfmA8dhj6tLunpab13uv/1fRWo26ULuXLkYMknmOvwS2JYqFCSstjYWM6ePYunp2e65ppr1qwZxYoVY0gqA5x87Xbs2EH//v05f/681nNyXyIZhl7Ek2fAhBBCCPFFe/3mDbOWLeNySAhXr19nzC+/sO/YMdrUr5/ZoX3RJk+ejImJSWaH8Vm9evWKpUuXfvHJlxAJyd0qhBBCiC+aRqNh18GDTFq0iMi3b8nn4MCq6dOpkmBIdZGUg4MDffr0yewwPqumqczxJsSXShIwIYQQ4gt10d8HzJ5rF0ZGQlgYWDnCB3ZjSjJWXI4P2kyGMQT2HTuW2WEIIcQnIV0QhRBCCCGEECKDSAImhBBCCCGEEBlEEjAhhBBCCCGEyCCSgAkhhBBCCCFEBpEETAghhBBCCCEyiCRgQgghhBBCCJFBJAETQgghxBclICAACwuLdK3j6+tLw4YNP0s8Xzo/Pz+KFi2aIfvau3cvbm5uxMbGZsj+vlSDBw/+5udYE5+PJGBCCCHEt8LPPONeHyClJCkwMBCNRsOzZ88AaNGiBf/8889HnIhPL3GM76sX/zI0NMTd3Z2FCxdmTKCf2aBBgxg+fDi6urrAu2ua8HjjX+7u/z/bnJ+fX5LlBQoUeO++xo0bR9myZTEyMkoxIb958yZ16tTByMgIKysrBg4cSExMjFadwMBAihUrhr6+Pi4uLgQEBGgtX7lyJXZ2dlhaWvLjjz9qLQsPD8fV1ZUXL15olQ8YMIBly5Zx/fr19x6HEIlJAiaEEEKIL4qhoSFWVlaZHcZHuXr1Kvfu3ePy5ct069aNHj16sHfv3o/aZnR09CeK7sMcOnSI0NBQmjRpopbNnDmTe/fuqa9bt26RLVs2mjVrprWuu7u7Vr1Dhw69d39v376lWbNm9OjRI9nlsbGx1KlTh7dv33LkyBGWLVtGQEAAI0eOVOuEhYVRp04dvL29CQoKol+/fnTu3Jldu3YB8OjRIzp37syUKVPYvXs3K1asYOvWrer6PXv25Oeff8bMzExr3zly5MDHx4d58+a9/8QJkYgkYEIIIYT4oiTXBXHs2LFYWVlhampK586dGTx4cLLd7qZMmYKNjQ3Zs2enV69eWklLVFQUAwYMIHfu3BgbG1OqVCkCAwPV5Tdu3KBevXpYWlpibGyMu7s727dvJzw8HG9vbwAsLS3RaDT4+vqmegxWVlZYW1vj6OhI3759cXR05MyZM+pyBwcHZsyYobVO0aJF8fPzU99rNBrmzZtHw4YNqVChAuPHjwfg559/JleuXJiamtKpUyciIyOT7H/x4sW4ublhYGBAgQIFmDt3rrosPDwcjUbDxo0b8fb2xsjIiCJFinD06NFUj2nNmjVUr14dAwMDtczc3Bxra2v1derUKZ4+fUqHDh201s2SJYtWvRw5cqS6LwB/f39++OEHPDw8kl2+e/duLl++zIoVKyhatCi1atVizJgx/PLLL7x9+xaA+fPn4+joyNSpU3Fzc6N37940bdqU6dOnA3D9+nXMzc1p0aIFJUuWxNvbm+DgYABWr15N1qxZady4cbL7r1evHmvWrHnvcQiRmCRgQgghhPiirVy5knHjxjFx4kROnz5N3rx5k2152L9/P6Ghoezfv19tDUnY3ax3794cPXqUNWvWcP78eZo1a0bNmjW5du0aAL169SIqKoq///6bCxcuMHHiRExMTLCzs2PDhg3A/7dszZw5M02xK4rCzp07uXnzJqVKlUr3sfv5+dGwYUNWr15Nhw4dWLduHX5+fowfP55Tp05hY2OjlVzFn6+RI0cybtw4goODGT9+PCNGjGDZsmVa9YYNG8aAAQMICgrC1dWVVq1aJem+l9DBgwcpUaJEqvEuWbKEatWqYW9vr1V+7do1bG1tcXJyok2bNty8eTOdZyKpo0eP4uHhQa5cudQyHx8fXrx4waVLl9Q61apV01rPx8dHTTbz5cvH69evOXv2LE+ePOHkyZMULlyYp0+fMmLECObMmZPi/r28vLh9+zbh4eEffSzivyVLZgcghBBCiP+OrVu3YmJiolX2vgEdZs+eTadOndRWlZEjR7J7924iIiK06llaWjJnzhx0dXUpUKAAderUYe/evXTp0oWbN2+ydOlSbt68ia2tLfDuOZ6dO3eydOlSxo8fz82bN2nSpIna4uLk5KRuO1u2bMC7lq20DBCSJ08e4F2rW1xcHKNHj6ZixYrvXS+x1q1b4+vry9mzZ8mbNy9t2rShU6dOdOrUCXjXMrhnzx6tVrBRo0YxdepUteXG0dGRy5cvs2DBAtq3b6/WGzBgAHXq1AHetTa5u7sTEhKS4vNZN27cUM9dcu7evcuOHTtYtWqVVnmpUqUICAggf/783Lt3D39/fypUqMDFixcxNTVN9zmJd//+fa3kC1Df379/P9U6L1684M2bN1haWrJs2TLatWvHmzdvaNeuHT4+PnTq1InevXsTFhZG/fr1iY6Oxs/Pj6ZNm6rbiT8XN27cwMHB4YOPQ/z3SAImhBBCiAzj7e2dpPXq+PHjfPfddymuc/XqVXr27KlV5uXlxb59+7TK3N3d1cEhAGxsbLhw4QIAFy5cIDY2FldXV611oqKiyJ49OwB9+/alR48e7N69m2rVqtGkSRMKFy6c/oPkXWuRqakpUVFRnDhxgt69e5MtW7YUn2dKSeIWp+DgYLp3765VVqZMGfbv3w/Aq1evCA0NpVOnTnTp0kWtExMTg7m59uApCY/NxsYGgAcPHqSYgL1580ar+2Fiy5Ytw8LCIslAK7Vq1dLaZ6lSpbC3t2fdunV06tSJ7t27s2LFCrVO4sT6c2vUqBGNGjVS3x84cIDz588ze/ZsXFxcWL16NdbW1nh5eVGxYkX1+URDQ0MAXr9+naHxiq+fJGBCCCGEyDDGxsa4uLhold2+ffuTbDtr1qxa7zUaDXFxccC7L/W6urqcPn1aK0kD1Ba5zp074+Pjw7Zt29i9ezcTJkxg6tSpHzTcuKOjo9pS5u7uzvHjxxk3bpyagOno6KAoitY6yQ2yYWxsnK79xicvixYtStLlMfFxJzxfGo0GQD1fycmRIwdPnz5NdpmiKPz666+0bdsWPT29VGO0sLDA1dWVkJAQAEaPHs2AAQNSXSc51tbWnDhxQqvs33//VZfF/ze+LGEdMzMzNYFKKCoqip49e7J8+XJCQkKIiYmhUqVKALi6unL8+HHq1asHwJMnTwDImTNnumMX/23yDJgQQgghvmj58+fn5MmTWmWJ37+Pp6cnsbGxPHjwABcXF61X/Jd1ADs7O7p3787GjRvp378/ixYtAlCTig+d/0pXV5c3b96o73PmzMm9e/fU9y9evCAsLOy923Fzc+P48eNaZceOHVP/P1euXNja2nL9+vUkx+no6PhBscfz9PTk8uXLyS47cOAAISEhatfI1ERERBAaGqq2ullZWWnFmVZlypThwoULPHjwQC3766+/MDMzo2DBgmqdxKNP/vXXX5QpUybZbY4dO5aaNWtSrFgxYmNjtZ6Ji46O1rr+Fy9eJGvWrFpD7guRFtICJoQQQogvWp8+fejSpQslSpSgbNmyrF27lvPnz2s9o/U+rq6utGnThnbt2jF16lQ8PT15+PAhe/fupXDhwtSpU4d+/fpRq1YtXF1defr0Kfv378fNzQ0Ae3t7NBoNW7dupXbt2hgaGiZ5li2hBw8eEBkZqXZBXL58udbzQ1WqVCEgIIB69ephYWHByJEjk7RQJef777/H19eXEiVKUK5cOVauXMmlS5e0zoW/vz99+/bF3NycmjVrEhUVpY5OmHieq/Tw8fFJMpBHvCVLllCqVCkKFSqUZNmAAQOoV68e9vb23L17l1GjRqGrq0urVq1S3d/Nmzd58uQJN2/eJDY2lqCgIABcXFwwMTGhRo0aFCxYkLZt2zJp0iTu37/P8OHD6dWrF/r6+gB0796dOXPmMGjQIDp27Mi+fftYt24d27ZtS7K/y5cvs3btWs6ePQtAgQIF0NHRYcmSJVhbW3PlyhVKliyp1j948CAVKlRItiVNiNRIAiaEEEKIL1qbNm24fv06AwYMIDIykubNm+Pr65uk+9n7LF26lLFjx9K/f3/u3LlDjhw5KF26NHXr1gXetW716tWL27dvY2ZmRs2aNdXhynPnzo2/vz+DBw+mQ4cOtGvXLsmEvgnlz58feDf8up2dHd26ddMaYn7IkCGEhYVRt25dzM3NGTNmTJpawFq0aEFoaCiDBg0iMjKSJk2a0KNHD3VeK3jXldLIyIjJkyczcOBAjI2N8fDwoF+/fuk6X4m1adOGQYMGcfXqVfX4AJ4/f86GDRtSHBny9u3btGrVisePH5MzZ07Kly/PsWPH3tt1b+TIkVoJn6enJ/ButMvKlSujq6vL1q1b6dGjB2XKlMHY2Jj27dszevRodR1HR0e2bdvGDz/8wMyZM8mTJw+LFy/Gx8dHa1+KotC1a1emTZumdvs0NDQkICBAHR1zzpw55M6dW11nzZo1WtdUiLTSKIk7IAshhBAiU7148QJzc3OeP3+eZALYyMhIwsLCcHR0THVAhG9d9erVsba2Zvny5ZkdymcXGxvL2bNn8fT0TFMr2ec0cOBAXrx4wYIFCzI1jsy2Y8cO+vfvz/nz58mSJW3tGfK3K+JJC5gQQgghvmivX79m/vz5+Pj4oKury+rVq9mzZw9//fVXZof2nzNs2DDmzp1LXFwcOjr/3aEEXr16xdKlS9OcfAmRkNw1QgghhPiiaTQatm/fzrhx44iMjCR//vxs2LAhyQS74vOzsLBg6NChmR1Gpkv4PJ8Q6SUJmBBCCCG+aIaGhuzZsyezwxBCiE/iv9t2LIQQQgghhBAZTBIwIYQQQgghhMggkoAJIYQQQgghRAaRBEwIIYQQQgghMogkYEIIIYQQQgiRQSQBE0IIIYQQQogMIgmYEEIIIcRnEB4ejkajISgo6LPv6+3bt7i4uHDkyJHPvq/PpXTp0mzYsCGzwxDis5N5wIQQQohvhMcyjwzb14X2F9K9jq+vL8+ePWPTpk2fPqA0cHBw4MaNGwDo6OiQK1cuatWqxZQpU7C0tMyUmD6V+fPn4+joSNmyZdWyJ0+e0KdPH/788090dHRo0qQJM2fOxMTEJMXtbNy4kXnz5hEUFERUVBTu7u74+fnh4+Oj1vHz88Pf319rvfz583PlyhX1/Y8//khAQADGxsb8/PPPtGnTRl32+++/89tvv/Hnn39qbWP48OH88MMPNGrUCB0daSMQ3y65u4UQQgjxnzF69Gju3bvHzZs3WblyJX///Td9+/b9qG2+ffv2E0X3YRRFYc6cOXTq1EmrvE2bNly6dIm//vqLrVu38vfff9O1a9dUt/X3339TvXp1tm/fzunTp/H29qZevXqcPXtWq567uzv37t1TX4cOHVKX/fnnn6xatYrdu3czadIkOnfuzKNHjwB4/vw5w4YN45dffkmy71q1avHy5Ut27NjxoadCiK+CJGBCCCGE+CIcOHAALy8v9PX1sbGxYfDgwcTExACwdetWLCwsiI2NBSAoKAiNRsPgwYPV9Tt37sx3332X6j5MTU2xtrYmd+7ceHt70759e86cOaMu9/Pzo2jRolrrzJgxAwcHB/W9r68vDRs2ZNy4cdja2pI/f34ATpw4gaenJwYGBpQoUSJJ0gJw8eJFatWqhYmJCbly5aJt27ZqcgJQuXJl+vbty6BBg8iWLRvW1tZJWpsSO336NKGhodSpU0ctCw4OZufOnSxevJhSpUpRvnx5Zs+ezZo1a7h7926K25oxYwaDBg2iZMmS5MuXj/Hjx5MvX74krVVZsmTB2tpafeXIkUNr35UrV6ZEiRK0atUKMzMzwsLCABg0aBA9evQgb968Sfatq6tL7dq1WbNmTarHK8TXTrogCiGEEF+oQqN2oaNvpFWW21QXP28r3hq+QJMlMpMiA+4mTS7e6/UTiHyZ7Lp37j2gdq2G+Davx29TBnMlJJwuA8dgEP0Uv/7dqeBixsuXLzm7ew0lihTkwJZV5MhmQeDubdC3BQAH9u7mp16+KccW+xae31aX37n3gD83rqWUh8v/r/PyHkS/0d7G89vv1o0ve/2EvXv2YpYlhr9WzgIg4tph6tauR/WKpVkxbRhhN+/w/Q//a1l7cAXuKhx9E0ld77o0btOY1SNXE/UmimljplGnUR1+/eNXdXfLli3jxx9/5Pjx4xw9ehRfX19y5cqFp6dnsod18OBBXF1dMTU1VcuOHj2KhYUFJUqUUMuqVauGjo4Ox48fp1GjRilepoTi4uJ4+fIl2bJl0yq/du0atra2GBgYUKZMGSZMmKAmVUWKFGHhwoU8ffqU69ev8+bNG1xcXDh06BBnzpxh7ty5Ke7Py8uLn3/+OU2xCfG1khYwIYQQQmS6ucvWYWdrzZxxgyng4kjDmt749+/O1AUriIuLw9zMlKLurgQePQVA4NHT/NClDWcvXSXi1Wvu3HtASPgtKpUunup+fho/C5N85TB0LkOeEjXRANNG9U93vMZGhiyeMhL3/M6453dm1R87iItTWPK/srrVKzKwezutdVYvXk2BQgXoN7wfTvmccCvsxpiZYzhx6AThoeFqvcKFCzNq1Cjy5ctHu3btKF68OCdOnEgxlhs3bmBra6tVdv/+faysrLTKsmTJQrZs2bh//36aj3PKlClERETQvHlztaxUqVIEBASwc+dO5s2bR1hYGBUqVODly5cA+Pj48N1331GyZEl8fX1ZtmwZxsbG9OjRg/nz5zNv3jzy589PuXLluHTpktb+bG1tuXXrFnFxcWmOUYivjSRgQgghhMh0wSFhlCnugUajUcvKlSxKxKvX3L73LwCVShcn8MgpFEXh4PGzNK5dBTcXRw6dOMuBY6extc5JPqekXdsSGti9HUG7V3P+r7XsXTsfgDrt+qpdG9PKo4ALenpZ/z/+a2EUdnPBwEBfLStTvLDWOlcvXeXE4ROUtC+pvuqVqQfArbBbar3ChbXXs7Gx4enTpynG8ubNGwwMDNIVP4CJiYn66t69e5Llq1atwt/fn3Xr1mklc7Vq1aJZs2YULlwYHx8ftm/fzrNnz1i3bp1ax8/Pj5CQEC5cuECjRo2YMGEC1apVI2vWrIwdO5ZDhw7RuXNn2rXTTlINDQ2Ji4sjKioq3ccjxNdCuiAKIYQQ4qtQuWwJfl27mXOX/iFr1iwUcHGkcpniBB49zdNnL97b+gWQI5sFLo7vkrR8TnmZ4T+AMvV92X/4FNUqlkJHRwdFUbTWif7fc2gJGRsZpjv+169eU7lGZX4c+WPSuHL9/zNUWbNm1Vqm0WhSTRBz5MjBhQvao1JaW1vz4MEDrbKYmBiePHmCtbU1gNbw+GZmZlp116xZQ+fOnfn999+pVq1aqsdlYWGBq6srISEhyS6/cuUKK1as4OzZs/z6669UrFiRnDlz0rx5czp27MjLly/V7pNPnjzB2NgYQ8P0n18hvhbSAiaEEEKITOfm4sjR0xe0kp/DJ4MwNTEmj00uACp4efIy4jXTF62kUuliwLukLPDIKQKPnqZymfcnYInp6uoC8Cby3fN0ObNZcv/hY604gi798/748zlyPjiEyMj/b7k5dua8dp3CboReDcU2ry15nfJqvYyMjRJvMs08PT25cuWKVsxlypTh2bNnnD59Wi3bt28fcXFxlCpVCgAXFxf1lbCFa/Xq1XTo0IHVq1drDeyRkoiICEJDQ7GxsUmyTFEUunXrxrRp0zAxMSE2Npbo6GgA9b8Jk8uLFy+m+KybEN8KScCEEEIIkWGev4gg6OJVrdetO/fp2b45t+7ep8/wiVwJCWPzrkBGTZ3Pj13bqHNCWVqYUdgtHyv/2EHlMu8Gl6hYqhhnLl7hn+s30tQC9jLiNfcfPOLevw85cfYiA8fOIGd2S8qWKAJA5bLFefj4KZPmLiM0/Ba/BKxlx/7D791u60a10Gigy8AxXP7nOtv3HmLK/OVadVp1asXzZ88Z1HUQF85e4GbYTQ7vO8zwPsPT3QUyIW9vbyIiIrSep3Jzc6NmzZp06dKFEydOcPjwYXr37k3Lli2TPC+W0KpVq2jXrh1Tp06lVKlS3L9/n/v37/P8+XO1zoABAzhw4ADh4eEcOXKERo0aoaurS6tWrZJsb/HixeTMmZN69d51tSxXrhz79u3j2LFjTJ8+nYIFC2JhYaHWP3jwIDVq1PjgcyHE10ASMCGEEEJkmMCjp/D0aaX18p++kNw2VmxfPpsTQZcoUr0l3QePp1Orhgz/vrPW+pVKFyM2NpbKZd8lW9kszSmYzwlrqxzkd3F47/5HTpmHjWcNbIv5ULf99xgbGrJ71VyyZ7MAwC2fE3PHD+GXgHUUqd6SE2cvMaBb2/du18TYiD8DZnDhSgiePq0YNvEXJg7Tnl/MytqK5VuXExsXS7dm3WhcqTE/D/8ZU3PTj5p4OHv27DRq1IiVK1dqla9cuZICBQpQtWpVateuTfny5Vm4cGGq21q4cCExMTH06tULGxsb9fX999+rdW7fvk2rVq3Inz8/zZs3J3v27Bw7doycOXNqbevff/9l3LhxzJo1Sy3z8vKif//+1KlTh3Xr1rF06VJ12Z07dzhy5AgdOnT44HMhxNdAoyTu6CyEEEKITPXixQvMzc2x67cuxWHorWzzoMmi995tFdYJ+1xhinS6pPf+6+Wewz1JWWxsLGfPnsXT01PtMpnY+fPnqV69OqGhoZiYmHx0rJnhp59+4unTp+9NEr9WkZGRhIWF4ejo+EGDpohvh7SACSGEEEJ85QoXLszEiRPVCY+/RlZWVowZMyazwxDis5NREIUQQgghvgG+vr6ZHcJH6d8//fOxCfE1khYwIYQQQgghhMggkoAJITJVQECA1ghYfn5+FC1aVKuOn58fuXLlQqPRsGnTps8aj4ODAzNmzPis+xAZo3LlyvTr1++jt+Pr60vDhg0/ejtCCCEESAImhPgI9+/fp0+fPjg5OaGvr4+dnR316tVj7969H7zNAQMGaK0fHByMv78/CxYs4N69e9SqVetThJ6ikydP0rVr14/ahoODAxqNJsnr559//kRRZo6zZ8/SrFkzcuXKhYGBAfny5aNLly7888/750jKDBs3bvwkz5PMnDmTgICAjw9ICCGEQJ4BE0J8oPDwcMqVK4eFhQWTJ0/Gw8OD6Ohodu3aRa9evbhy5coHbdfExERrBK/Q0FAAGjRogEaj+eB4o6OjyZo163vrJR5G+UONHj2aLl26aJWZmpp+km2nJK3H+CG2bt1KkyZN8PHxYeXKlTg7O/PgwQN+//13RowYwdq1az/Lfj9GtmzZPsl2zM3NP8l2hBBCCJAWMCHEB+rZsycajYYTJ07QpEkTXF1dcXd358cff+TYsWNqvWnTpuHh4YGxsTF2dnb07NmTiIiIFLebsAuin5+fOnmnjo6OmoDFxcUxevRo8uTJg76+PkWLFmXnzp3qNsLDw9FoNKxdu5ZKlSphYGDAypUr1a5kU6ZMwcbGhuzZs9OrVy+io6PVdRN3QUxv/PFMTU2xtrbWehkbGwMQGBiIRqNh7969lChRAiMjI8qWLcvVq1e1trF582aKFSuGgYEBTk5O+Pv7ExMToy7XaDTMmzeP+vXrY2xszLhx4wAYO3YsVlZWmJqa0rlzZwYPHqye07///pusWbNy//59rX3169ePChUqJHssr1+/pkOHDtSuXZstW7ZQrVo1HB0dKVWqFFOmTGHBggVq3QMHDuDl5YW+vj42NjYMHjxYK+bKlSvTp08f+vXrh6WlJbly5WLRokW8evWKDh06YGpqiouLCzt27FDXiT9fu3btwtPTE0NDQ6pUqcKDBw/YsWMHbm5umJmZ0bp1a16/fq21r4RdEOfOnUu+fPkwMDAgV65cNG3aVF22fv16PDw8MDQ0JHv27FSrVo1Xr14BSbsgRkVF0bdvX6ysrDAwMKB8+fKcPHkySbzvu75CCCH+myQBE0Kk25MnT9i5cye9evVSk4qEEj7TpaOjw6xZs7h06RLLli1j3759DBo0KE37GTBggDpJ571797h37x7wrkvY1KlTmTJlCufPn8fHx4f69etz7do1rfUHDx7M999/T3BwMD4+PgDs37+f0NBQ9u/fz7JlywgICEi1e9nHxP8+w4YNY+rUqZw6dYosWbLQsWNHddnBgwdp164d33//PZcvX2bBggUEBASoSVY8Pz8/GjVqxIULF+jYsSMrV65k3LhxTJw4kdOnT5M3b17mzZun1q9YsSJOTk4sX75cLYuOjmblypVa+09o165dPHr0KMXjjr/ed+7coXbt2pQsWZJz584xb948lixZwtixY7XqL1u2jBw5cnDixAn69OlDjx49aNasGWXLluXMmTPUqFGDtm3baiVT8cc6Z84cjhw5wq1bt2jevDkzZsxg1apVbNu2jd27dzN79uxkYzx16hR9+/Zl9OjRXL16lZ07d1KxYkXg3b3VqlUrOnbsSHBwMIGBgTRu3JiUpskcNGgQGzZsYNmyZZw5cwYXFxd8fHx48uSJVr3Urm9iUVFRvHjxQuslhBDi2yQJmBAi3UJCQlAUhQIFCry3br9+/fD29sbBwYEqVaowduxY1q1bl6b9mJiYqF/u41uRAKZMmcJPP/1Ey5YtyZ8/PxMnTqRo0aJJBs/o168fjRs3xtHRERsbGwAsLS2ZM2cOBQoUoG7dutSpUyfVZ9Y+NP6ffvpJ7U4Z/zp48KBWnXHjxlGpUiUKFizI4MGDOXLkCJGRkQD4+/szePBg2rdvj5OTE9WrV2fMmDFarU0ArVu3pkOHDjg5OZE3b15mz55Np06d6NChA66urowcORIPDw+tdTp16qQmtgB//vknkZGRNG/ePNljiU9s33e9586di52dnXp+GzZsiL+/P1OnTiUuLk6tV6RIEYYPH06+fPkYMmQIBgYG5MiRgy5dupAvXz5GjhzJ48ePOX/+vNb2x44dS7ly5fD09KRTp04cOHCAefPm4enpSYUKFWjatCn79+9PNrabN29ibGxM3bp1sbe3x9PTk759+wLvErCYmBgaN26Mg4MDHh4e9OzZM9nJbF+9esW8efOYPHkytWrVomDBgixatAhDQ0OWLFmiVTe165vYhAkTMDc3V192dnapnmshhBBfL0nAhBDpllLLQHL27NlD1apVyZ07N6amprRt25bHjx8nad1IqxcvXnD37l3KlSunVV6uXDmCg4O1ykqUKJFkfXd3d3R1ddX3NjY2PHjw4JPHP3DgQIKCgrReieMpXLiwVhyAGsu5c+cYPXq0VgLXpUsX7t27p7XvxNu8evUqXl5eWmWJ3/v6+hISEqJ2FQ0ICKB58+bJtmZC2q93cHAwZcqU0XpWr1y5ckRERHD79u1kj1tXV5fs2bNrJYm5cuUCSHJdEq6XK1cujIyMcHJy0ipL6VpWr14de3t7nJycaNu2LStXrlTPY5EiRahatSoeHh40a9aMRYsW8fTp02S3ExoaSnR0tNb9lzVrVry8vJLcf6ld38SGDBnC8+fP1detW7eSrSfeL/DIKTS5i/Hs+cvMDuWLFt9V9tmzZ599X48fP8bKyorw8PDPvq/McvnyZfLkyaN2XRYiNZKACSHSLV++fGg0mvcOtBEeHk7dunUpXLgwGzZs4PTp0/zyyy8AvH379rPHmVxCkXiQCo1Go9U6k9DHxJ8jRw5cXFy0XoaGhinGkvD5NoCIiAj8/f21ErgLFy5w7do1DAwMUj3G97GysqJevXosXbqUf//9lx07dqTaPc7V1RXggwdWSSy5a5DauUhuvcTrxJeldC1NTU05c+YMq1evxsbGhpEjR1KkSBGePXuGrq4uf/31Fzt27KBgwYLMnj2b/PnzExYW9smOM6Vjiqevr4+ZmZnW64P2Wa1Mkldwldaf5fUhfPuNQpO7GN1/GpdkWa+hE9DkLoZvv1EftO3M4Dd1PkWrt/wk2yqUsxCFchZCo9GQJUsW8ubNy48//khUVNQn2X5mGjduHA0aNMDBwQF49wNTq1atsLOzw9DQEDc3N2bOnKm1TnyCmPiV+PnVxHx9fZOsU7NmTa06T548oU2bNpiZmWFhYUGnTp20nu0NDw+nYsWKGBsbU7FixSSJY926ddmwYYNWWcGCBSldujTTpk1L59kR/0WSgAkh0i1btmz4+Pjwyy+/JPtrX/wvqqdPnyYuLo6pU6dSunRpXF1duXv37kft28zMDFtbWw4fPqxVfvjwYQoWLPhR207sc8SfVsWKFePq1atJkjgXFxd0dFL+6M6fP7/WgBBAkvcAnTt3Zu3atSxcuBBnZ+ckLYoJ1ahRgxw5cjBp0qRkl8dfbzc3N44eParVYnb48GFMTU3JkydPaoebIbJkyUK1atWYNGkS58+fJzw8nH379gHvEqRy5crh7+/P2bNn0dPT448//kiyDWdnZ/T09LTuv+joaE6ePPnJ779vlZ2tNWu27OLNm//vjhkZGcWqTTvJm9s6EyP7f2/fRr+/0mcwdtZY7t27R1hYGHPnzmX58uVJnqFMr4z4sSs1r1+/ZsmSJXTq1EktO336NFZWVqxYsYJLly4xbNgwhgwZwpw5c5Ksf/XqVfUZ4Hv37mFlZfXefdasWVNrndWrV2stb9OmDZcuXeKvv/5i69at/P3331rTj/Tv35/cuXMTFBSEjY0NAwYMUJetXbsWHR0dmjRpkmS/HTp0YN68eVoDDwmRHEnAhBAf5JdffiE2NhYvLy82bNjAtWvXCA4OZtasWZQpUwYAFxcXoqOjmT17NtevX2f58uXMnz//o/c9cOBAJk6cyNq1a7l69SqDBw8mKCiI77///qO3ndDHxP/y5Uvu37+v9UrPwAojR47kt99+w9/fn0uXLhEcHMyaNWsYPnx4quv16dOHJUuWsGzZMq5du8bYsWM5f/58kiH8fXx8MDMzY+zYsXTo0CHVbRobG7N48WK2bdtG/fr12bNnD+Hh4Zw6dYpBgwbRvXt34N3ImLdu3aJPnz5cuXKFzZs3M2rUKH788cdUk8aMsHXrVmbNmkVQUBA3btzgt99+Iy4ujvz583P8+HHGjx/PqVOnuHnzJhs3buThw4e4ubkl2Y6xsTE9evRg4MCB7Ny5k8uXL9OlSxdev36t9QVTpKyYRwHsbK3ZuGOfWrZxxz7y2lrjWUj7OcOoqLf0HTEJq8JVMXAqTfmGHTkZdEmrzva9h3At3xBD5zJ4N+1K+K2kP5IcOnGWCo06YuhcBrsSteg7YhKvXr9RlzuUqsOY6Yto13cEZvkr0HXQu6Tnp3EzcS3fECPnsjiVqceISXPVUVMD1m7Bf9pCzl3+B03uYmhyFyNg7RYAnj1/SecBo8npUQWz/BWo0qwr5y69f748U/N3o6fa2dlRt25dGjRowJkzZ9TlHTt2TDIpeL9+/ahcubL6vnLlyvTu3Zt+/fqRI0cOdQCi7du34+rqiqGhId7e3sl2Bzx06BAVKlTA0NAQOzs7+vbtq/Ujm4ODA+PHj6djx46YmpqSN29eFi5cmOoxbd++HX19fUqXLq11HDNnzqRSpUo4OTnx3Xff0aFDBzZu3JhkfSsrK63RZNPyWaKvr6+1jqWlpbosODiYnTt3snjxYkqVKkX58uWZPXs2a9asUX9gCw4Opn379uTLlw9fX1+1e/GzZ88YPny42hMiserVq/PkyRMOHDjw3hjFf5skYEKID+Lk5MSZM2fw9vamf//+FCpUiOrVq7N371511L0iRYowbdo0Jk6cSKFChVi5ciUTJkz46H337duXH3/8kf79++Ph4cHOnTvZsmUL+fLl++htJ/Qx8Y8cORIbGxutV3pGT/Tx8WHr1q3s3r2bkiVLUrp0aaZPn469vX2q67Vp04YhQ4YwYMAAihUrRlhYGL6+vlrdFuHd6I6+vr7ExsbSrl2798bToEEDjhw5QtasWWndujUFChSgVatWPH/+XP2FPnfu3Gzfvp0TJ05QpEgRunfvTqdOnd6bNGYECwsLNm7cSJUqVXBzc2P+/PmsXr0ad3d3zMzM+Pvvv6lduzaurq4MHz6cqVOnpjjp988//0yTJk1o27YtxYoVIyQkhF27dml9yROp69iiPkv/l6wA/LpmMx1a1E9Sb9C4mWzYvpdlM0ZzZucqXBzs8GnTiydPnwNw6859GncZQL3qFQnatZrOrRsyeIL2SJih4beo2aY3TWpX5fxfa1k772cOnQii9zDtidGnLFhOkYKunN21ihH9OgNgamxMwHR/LgeuZ6b/ABat+oPpi1YC0KJ+Dfp3a4t7fmfund3NvbO7aVG/BgDNug3iwaMn7Fgxh9M7VlLMw42qLbrz/H9xp8U///zDvn37KFWqVJrXibds2TK1pXb+/PncunWLxo0bU69ePYKCgtTpKbTOU2goNWvWpEmTJpw/f561a9dy6NAhevfurVVv6tSplChRgrNnz9KzZ0969OiR6hQLBw8epHjx4u+N+fnz58nO3Ve0aFFsbGyoXr16kp4PKQkMDMTKyor8+fPTo0cPHj9+rC47evQoFhYWWs/PVqtWDR0dHY4fPw68++zfs2cPcXFx7N69W32ec+DAgfTq1SvFQXL09PQoWrRokgGXhEhMo6TnaXohhBBfnerVq2Ntba019Dy8Gw3x4cOHbNmyJYU1RWZ58eLFu9EQ+61DR99Ia1luU138vK2wss2DJoue1rKs1cpkWIxu+1alex3ffqN49uIliyaPwK5kLa7+/a7Fo0ClJtw6uZ3OA8ZgYWZKwAx/Xr1+g2XBSgRM96d1o3fJcHR0NA6l69Kvc2sG9mjP0Amz2bz7AJf2r1f3MXj8LCb+EsDTywewMDel84DR6OrosGDS//8QcOjEWSo16cKra4cxMNDHoVQdPAsV4I8lU1ONf8r831izeRendrxLwvymzmfTzkCC/lqjte067b7nwbk96Ov///VxKVef7/p0olm7Zsluu1DOQugb6JNFNwsxMTFERUVRt25dNm7ciI6ODmfPnmX27Nk8f/6cTZs2qev169ePoKAgAgMDgXctYC9evNBqORs6dCibN2/m0qX/bz0cPHgwEydO5OnTp1hYWNC5c2d0dXW1Rlo9dOgQlSpV4tWrVxgYGODg4ECFChXUzxJFUbC2tsbf319tCU+sYcOGZM+ePckooQkdOXKESpUqsW3bNmrUeJfEXr16lcDAQEqUKEFUVBSLFy9m+fLlHD9+nGLFiqW4rTVr1mBkZISjoyOhoaEMHToUExMTjh49iq6uLuPHj2fZsmVJkkYrKyv8/f3p0aMHd+7coVu3bpw/f57ChQuzYMECQkND6d+/P7t27aJ79+6cOnWKGjVqMGvWLPT0/v86N27cGHNzc62RZuNFRkYSFhaGo6Njkh/FxH9LlswOQAghxKfz+vVr5s+fj4+PD7q6uqxevZo9e/bw119/qXWeP3/OhQsXWLVqlSRfIlPkzG5JnarlCVj3J4qiUKdKeXJk025BDA2/RXR0DOVKFlHLsmbNilfRQgRfezdASnBIOKU8C2mtV6Z4Ya335y7/w/nga6z84/8n91YUhbi4OMJu3cEt37uRNEsUTtrldO3mXcz6dQ2hN24T8eo1MbGxmJmkPvDNucv/EPHqNdkLeWuVv4mM4lZ46qNbDhoziHYN2xEbG0tISAg//vijOmpneiRucQoODk7SkhbfVVyN+9w5zp8/r7Uv9TyFhaldchOO7qnRaLC2tk51JNk3b96kmmxcvHiRBg0aMGrUKDX5gnfPs+bPn199X7ZsWUJDQ5k+fTrLly9n5cqVdOvWTV2+Y8cOKlSoQMuW/z8oioeHB4ULF8bZ2ZnAwECqVq2aYhwJ5c6dm61bt6rvo6Ki8PHxYdmyZYwdOxZTU1OuXr1KzZo1WbBgAX369FHrGhoafvAov+K/QxIwIYT4hmg0GrZv3864ceOIjIwkf/78bNiwgWrVqql1GjRowIkTJ+jevTvVq1fPxGjFf1nHFg3oPXwiAL+MG/ye2h8u4tVrun3XhL4dk45WmDe3jfr/xkbao5QePXWONn2G49+/Gz6Vy2JuasKazbuYunB54s0k2t8bbKxyELg+6bNR93NkT3XdHFbvRk+FdwnIy5cvadWqFf7+/sC7rsOJOy7FP5OW0IeMjhoREUG3bt3U+fESyps3r/r/6Rl9FN6NCJvStA6XL1+matWqdO3aNU1dlb28vDh06BAA9evX10oqc+fOnew6Tk5O5MiRg5CQEKpWrZpswhgTE8OTJ0/UuSYTGz9+PDVq1KB48eJ06dKFsWPHkjVrVho3bsy+ffu0ErAnT57g7Oz83mMR/22SgAkhxDfE0NCQPXv2pFonvquSEJmppndZ3kZHo0GDT+WkXSedHezQ08vK4ZPnsM9jC/xvxMmgS/Tr8m4YfDcXB7b89bfWesfOXNB6X8zDjcv/XMfFMS/pceTUeezz2DDs+85q2Y0797Tq6GXNSmyi5KOYRwHuP3xMlixZcLCz1VoWpafdZfR94ucsfPPm3YAhOXLk0OpGCBAUFJQkKUrMzc0tSWt3/DyAatzFinH58mU1AfxUPD09WbFiRZLyS5cuUaVKFdq3b8+4cUmnJUhO/KiE8G5qCVNT0/euc/v2bR4/fqyuV6ZMGZ49e8bp06fVlsJ9+/YRFxeX7PN2wcHBrFq1iqCgIABiY2PVpDc6OprY2Fit+hcvXqRp06ZpOh7x3yWDcAghhBAiw+nq6hIcuIHLgeu1JkePZ2xkSI+2TRk4dgY79x/m8j/X6TJwLK8jI+nUsiEA3ds15VrYTQaOmc7VkHBW/bGDgHV/am3np57tOXLqPL2H/UzQxatcu36TzbsCkwzCkVg+p7zcvHOfNZt3ERp+i1lLVvPHjv1adRzsbAm7eYegi1d59OQpUVFvqVahFGWKe9Cw44/sPnCU8Ft3OXLyHMN+nsPFoIup7vPl83ejp969e5cDBw4wevRoXF1d1e5/3t7enDp1it9++41r164xatQoLl5MfZsA3bt359q1awwcOJCrV6+yatUqAgICtM/TTz9x5MgRevfuTVBQENeuXWPz5s1JBuFILx8fHy5duqTVCnbx4kW8vb2pUaMGP/74ozpS7MOHD9U6M2bMYPPmzYSEhHDx4kX69evHvn376NWrV4r7ioiIYODAgRw7dozw8HD27t1LgwYNcHFxUUeDdHNzo2bNmnTp0oUTJ05w+PBhevfuTcuWLbG11U6YFUWha9euTJ8+XW1VLFeuHIsWLSI4OJjffvtNawqP8PBw7ty5o9XjQIjkSAImhBBCiExhZmqCmalJist/HtqXJrWr0rbvCIrVbE1I+C12rfwFS4t3E1XnzW3DhoWT2bQzkCI1WjJ/+XrGD9b+gl64oCsHNizin+s3qdC4E54+rRg5eR62uXKmGlv9GpX4oUtreg+bSNEarThy6pw6OmK8JrWrUrNyWbybdyWnR1VWb9r5rhvw8tlULF2MDj/64VqhIS17DuHGnXtkz5l6F8ThfYdjY2NDnjx5aNWqFe7u7uzYsYMsWd51WPLx8WHEiBEMGjSIkiVL8vLlyzSNYpo3b142bNjApk2bKFKkCPPnz2f8+PHa56lwYQ4cOMA///xDhQoV8PT0ZOTIkUmSkvTy8PCgWLFirFu3Ti1bv349Dx8+ZMWKFVojxZYsWVKt8/btW3Wk20qVKnHu3Dn27NmT6nNcurq6nD9/nvr16+Pq6kqnTp0oXrw4Bw8eRF9fX623cuVKChQoQNWqValduzbly5dPdjj9hQsXkitXLurWrauW+fn5ERkZSalSpXBxcdFKCFevXk2NGjXeO1qtEDIKohBCCPGF+dBREJNTWCfsc4Up0ulSGroguudwT1IWGxvL2bNn8fT0TLa18Eu3bds2Bg4cyMWLFzN9TsDP5e3bt+TLl49Vq1alOLG9jIIo4skzYEIIIYQQ4rOpU6cO165d486dOynOofW1u3nzJkOHDk0x+RIiIUnAhBBCCCHEZ9WvX7/MDuGzcnFx+eQDmIhv17fZDiyEEEIIIYQQXyBpARNCCCG+UBf9fTAzM9MqU58jsTZL43Mknp8nOJFuSZ/uEkL8F0kLmBBCCCGEEEJkEEnAhBBCiK9QXKIJgIUQXzb5mxXxpAuiEEII8RXR09NDR0eHu3fvkjNnTvT09NBoNJkdlviMYmNjgXfdT7/GYej/6xRF4e3btzx8+BAdHR300jAdgfi2SQImhBBCfEV0dHRwdHTk3r173L17N7PDERkgLi6OR48eER4e/s3Oo/VfYGRkRN68eeUaCknAhBBCiK+Nnp4eefPmJSYmRm0dEd+uiIgI6tSpw6lTpzAxMcnscMQH0NXVJUuWLNJaLQBJwIQQQoivkkajIWvWrGTNmjWzQxGf2du3b7lx4wZ6enppHPlSCPElkzZQIYQQQgghhMggkoAJIYQQQgghRAaRBEwIIYQQQgghMogkYEIIIYQQQgiRQSQBE0IIIYQQQogMIgmYEEIIIYQQQmQQScCEEEIIIYQQIoNIAiaEEEIIIYQQGUQSMCGEEEIIIYTIIJKACSGEEEIIIUQGkQRMCCGEEEIIITKIJGBCCCGEEEIIkUEkARNCCCGEEEKIDCIJmBBCCCGEEEJkEEnAhBBCCCGEECKDSAImhBBCCCGEEBlEEjAhhBBCCCGEyCCSgAkhhBBCCCFEBpEETAghhBBCCCEyiCRgQgghhBBCCJFBJAETQgghhBBCiAwiCZgQQgghhBBCZBBJwIQQQgghhBAig0gCJoQQQgghhBAZRBIwIYQQQgghhMggWTI7ACGEEEIkr9CoXejoG2V2GIQbtM7sEDKNh2PedNVfNyHmo/bndiX4o9YXQnz5PrgF7O3bt1y9epWYmI/7oBFCCCGEEEKI/4p0J2CvX7+mU6dOGBkZ4e7uzs2bNwHo06cPP//88ycPUAghhBBCCCG+FelOwIYMGcK5c+cIDAzEwMBALa9WrRpr1679pMEJIYQQQgghxLck3c+Abdq0ibVr11K6dGk0Go1a7u7uTmho6CcNTgghhBBCCCG+JeluAXv48CFWVlZJyl+9eqWVkAkhhBBCCCGE0JbuBKxEiRJs27ZNfR+fdC1evJgyZcp8usiEEEIIIYQQ4huT7i6I48ePp1atWly+fJmYmBhmzpzJ5cuXOXLkCAcOHPgcMQohhBBCCCHENyHdLWDly5cnKCiImJgYPDw82L17N1ZWVhw9epTixYt/jhiFEEIIIYQQ4pvwQRMxOzs7s2jRok8dixBCCCGEEEJ80z4oAQN48OABDx48IC4uTqu8cOHCHx2UEEIIIYQQQnyL0t0F8fTp0xQqVAgbGxsKFy5M0aJF1Zenp+fniFGIL0ZAQAAWFhbqez8/P4oWLapVx8/Pj1y5cqHRaNi0adNnjcfBwYEZM2Z81n2Iz+/169c0adIEMzMzNBoNz549y+yQhBBCCPGZpDsB69ixI66urhw5coTr168TFhamvq5fv/45YhTik7h//z59+vTByckJfX197OzsqFevHnv37v3gbQ4YMEBr/eDgYPz9/VmwYAH37t2jVq1anyL0FJ08eZKuXbt+1DYcHBzQaDRoNBoMDQ1xcHCgefPm7Nu37xNF+Wkkl+xmpsDAwE+WLC1btoyDBw9y5MgR7t27h7m5udbyK1euoNFoOHbsmFZ56dKlMTAwIDIyUi2LjIzEwMCAJUuWpGnfn/uHgsqVK6v3l4GBAa6urkyYMAFFUT7bPoUQQogvWbq7IF6/fp0NGzbg4uLyOeIR4rMIDw+nXLlyWFhYMHnyZDw8PIiOjmbXrl306tWLK1eufNB2TUxMMDExUd/HT0beoEGDj5oXLzo6mqxZs763Xs6cOT94HwmNHj2aLl268PbtW8LDw1mxYgXVqlVjzJgxDBs27JPs40MpikJsbGymxvC5hYaG4ubmRqFChZJdXqBAAaytrQkMDKR06dIAvHz5kjNnzpArVy6OHTtG5cqVATh69ChRUVFUqVIlo8IHUr9nu3TpwujRo4mKimLfvn107doVCwsLevTokaExpkda/waFEEKI9Ep3C1jVqlU5d+7c54hFiM+mZ8+eaDQaTpw4QZMmTXB1dcXd3Z0ff/xRq1Vh2rRpeHh4YGxsjJ2dHT179iQiIiLF7SZslfHz86NevXoA6OjoqAlYXFwco0ePJk+ePOjr61O0aFF27typbiM8PByNRsPatWupVKkSBgYGrFy5El9fXxo2bMiUKVOwsbEhe/bs9OrVi+joaHXdxF0Q0xt/PFNTU6ytrcmbNy8VK1Zk4cKFjBgxgpEjR3L16lW13sWLF6lVqxYmJibkypWLtm3b8ujRI3V55cqV6d27N71798bc3JwcOXIwYsQIrdaO5cuXU6JECXWfrVu35sGDB+ry+JalHTt2ULx4cfT19VmxYgX+/v6cO3dObU0JCAgA3rXgLFiwgLp162JkZISbmxtHjx4lJCSEypUrY2xsTNmyZdXkON7mzZspVqwYBgYGODk54e/vT0xMjLpco9GwePFiGjVqhJGREfny5WPLli3qNfP29gbA0tISjUaDr69viud3w4YNuLu7o6+vj4ODA1OnTtU6Z1OnTuXvv/9Go9GoiVRi3t7eBAYGqu8PHTqEq6sr9erV0yoPDAzE3t4ex/9r787jasr/P4C/bqV9E2mhRSolRRHCICKMxm6kEcYyiDKVMDPSwlim7GSvhsYyE01jiSRbjIiSkSaNvpmRZRgShtT9/eHR+XXbU90Mr+fj0ePhnuVz3p/PPfc47/v5nM9t3RoXL15E//790bx5c2hoaKB37964fPmysK2xsTEAYPjw4RCJRMLrmrZPWFgYPvnkE6ioqGDJkiWV1l9ZWRm6urowMjLCpEmTYGNjg/j4eGH9y5cv4evri5YtW0JFRQVdu3aVqNP//vc/uLi4oGnTplBRUYGVlRUOHz4srD916hS6dOkCBQUF6OnpYf78+RKxVjRUt2PHjggICKi2Pr/88gvs7e2hqKiI5s2bY/jw4fUWNxERfZhqnYBt27YNO3bsQGBgIKKjoxEbGyvxR/SuefToEeLi4uDh4QEVFZVy60s/0yUjI4O1a9fit99+Q2RkJE6cOAE/P78aHcfX1xfh4eEAgLy8POTl5QEA1qxZg9DQUISEhODq1atwdnbGJ598gqysLIn958+fDy8vL2RkZMDZ2RkAkJiYiOzsbCQmJiIyMhIRERFC4lGRusRflpeXF8RiMX7++WcAwOPHj9G3b1/Y2tri0qVLiIuLw7179zBmzBiJ/SIjIyEnJ4fk5GSsWbMGK1euxLZt24T1hYWFCA4ORlpaGmJiYpCTk1Nh8jJ//nwsW7YMGRkZ6N+/P3x8fGBlZSW07aeffipsGxwcDHd3d6SmpsLCwgLjxo3DF198gQULFuDSpUsQi8WYNWuWsP2ZM2fg7u4OLy8vXL9+HZs3b0ZERES5JCIwMBBjxozB1atXMXjwYLi5ueHRo0cwMDBAdHQ0ACAzMxN5eXlYs2ZNhe2YkpKCMWPGYOzYsUhPT0dAQAAWLlwovI/79+/H1KlT4eDggLy8POzfv7/CchwdHXH27FkhsUhMTESfPn3Qu3dvJCYmCtslJiYKyeHTp08xYcIEnD17Fr/++ivMzMwwePBgPH36FMCbIawAEB4ejry8POF1TdsnICAAw4cPR3p6Oj7//PMK4y5NLBbjzJkzuHHjBuTl5YXls2bNwvnz57Fnzx5cvXoVo0ePxsCBA4XPiIeHB16+fInTp08jPT0dy5cvF3qe//rrLwwePBj29vZIS0tDWFgYtm/fjsWLF1cbT1ll63Po0CEMHz4cgwcPxpUrV5CQkIAuXbrUS9xlvXz5Evn5+RJ/RET0fqr1EMTz588jKSkJR44cKbdOJBK990OF6L/n5s2bEIvFsLCwqHbbOXPmCP82NjbG4sWLMX36dGzcuLHafVVVVYVkTldXV1geEhKCefPmYezYsQCA5cuXIzExEatXr8aGDRskjj1ixAiJMps2bYr169dDVlYWFhYW+Pjjj5GQkICpU6fWe/xlaWlpoUWLFsjJyQEArF+/Hra2tvj222+FbXbs2AEDAwP8/vvvMDc3BwAYGBhg1apVEIlEaNu2LdLT07Fq1Soh5tI36iYmJli7di3s7e1RUFAgcXMaFBSE/v37C69VVVUhJycn0bYlJk2aJCSC8+bNg4ODAxYuXCgksl5eXpg0aZKwfWBgIObPn48JEyYIcQQHB8PPzw+LFi0Stps4cSJcXV0BvPkR+rVr1yI5ORkDBw6ElpYWAKBFixYSSXxZK1euRL9+/bBw4UIAgLm5Oa5fv47vvvsOEydOhJaWFpSVlSEvL19h3Uo4Ojri2bNnuHjxIhwcHHDy5EnMnTsXPXv2xIQJE/Dvv/9CLBYjOTkZU6ZMAYBywxC3bNkCTU1NnDp1CkOGDBGGsGpqakocu6btM27cOIl2rczGjRuxbds2vHr1CoWFhVBUVISnpycAIDc3F+Hh4cjNzYW+vj6AN19mxMXFITw8HN9++y1yc3MxcuRIWFtbC/GULtvAwADr16+HSCSChYUF7ty5g3nz5sHf3x8yMjX/nrFsfcaOHYuxY8ciMDBQWNahQ4d6ibuspUuXShyHiIjeX7XuAZs9ezY+++wz5OXlobi4WOKPyRe9i2rzsP/x48fRr18/tGzZEmpqahg/fjwePnyI58+fv9Wx8/PzcefOHfTo0UNieY8ePZCRkSGxrHPnzuX2t7KygqysrPBaT09PYrheQ8cvFouFoZRpaWlITEwUnntTVVUVktrSw/u6desm8fybg4MDsrKyhOtDSkoKXFxcYGhoCDU1NfTu3RvAmxva0ipqj8qU/vkLHR0dABBuekuW/fvvv0KvQlpaGoKCgiTqMnXqVOTl5Um0VelyVVRUoK6uXmX7VyQjI6PC9790m9SEqakpWrVqhZMnTyI/Px9XrlxB7969oaenB0NDQ5w/f154/qukB+zevXuYOnUqzMzMoKGhAXV1dRQUFJRr67Jq2j41fY/c3NyQmpqKpKQkDBo0CF9//TW6d+8OAEhPT0dRURHMzc0ljnfq1CnhvPL09MTixYvRo0cPLFq0CFevXhXKzsjIgIODg8Q516NHDxQUFODPP/+sWeNWUp/U1FT069evwm3rGndZCxYswJMnT4S/27dv1yp2IiL676h1D9jDhw/x5ZdfCjc5RO86MzMziESiaifayMnJwZAhQzBjxgwsWbIEWlpaOHv2LCZPnoxXr15BWVm5QeOsaHhk2UkARCJRud/eK1Hf8T98+BAPHjxA69atAQAFBQVwcXHB8uXLy22rp6dXozKfPXsGZ2dnODs7IyoqCtra2sjNzYWzszNevXolsW1F7VGZ0u1UciNe0bKStisoKEBgYGC5HkcAUFRUrLDcknIqa39p6NOnDxITE2FjYwMzMzO0aNECAIRhiGKxGKampjAwMAAATJgwAQ8fPsSaNWtgZGQEBQUFODg4lGvrsmraPjV9jzQ0NISJm/bt2wdTU1N069YNTk5OKCgogKysLFJSUiS+bAAg9IhOmTIFzs7OOHToEI4dO4alS5ciNDQUs2fPrtHxZWRkyn0RU/pZysrqo6SkVGmZ9R23goICFBQUalQfIiL6b6t1AjZixAgkJiaiTZs2DREPUb3T0tKCs7MzNmzYAE9Pz3I3WY8fP4ampiZSUlJQXFyM0NBQYdjSvn376nRsdXV16OvrIykpSejpAYCkpCSJZ0nqQ33Hv2bNGsjIyGDYsGEAADs7O0RHR8PY2BhycpVfOi5cuCDxuuTZI1lZWdy4cQMPHz7EsmXLhCTh0qVLNYpHXl6+3nrZ7ezskJmZWafZXEueYaouJktLSyQlJUksS0pKgrm5ebkb9+o4OjrC09MT7dq1k5iso1evXti6dSvEYrHQ+1VynI0bN2Lw4MEAgNu3b0tMmgK8STLL1qE+2qcyqqqq8PLygq+vL65cuQJbW1sUFRXh/v37+Oijjyrdz8DAANOnT8f06dOxYMECbN26FbNnz4alpSWio6MlemuTkpKgpqaGVq1aAXgzW2jJM5nAm57pW7duVRurjY0NEhISKhxmWde4iYjow1XrBMzc3BwLFizA2bNnYW1tXe4b4pJx/UTvkg0bNqBHjx7o0qULgoKCYGNjg9evXyM+Ph5hYWHIyMiAqakpCgsLsW7dOri4uCApKQmbNm2q87Hnzp2LRYsWoU2bNujYsSPCw8ORmpqKqKioeqjZ/6tL/E+fPsXdu3dRWFiIW7duYdeuXdi2bRuWLl0q3IR7eHhg69atcHV1hZ+fH7S0tHDz5k3s2bMH27ZtE5KJ3NxceHt744svvsDly5exbt06YdY/Q0NDyMvLY926dZg+fTquXbuG4ODgGsVobGyMW7duITU1Fa1atYKamtpb9xj4+/tjyJAhMDQ0xKhRoyAjI4O0tDRcu3atxpM3GBkZQSQS4eDBgxg8eDCUlJQqnGDBx8cH9vb2CA4Oxqefforz589j/fr1b/VcXslzYDt27MDWrVuF5b179xae+5o5c6aw3MzMTJh1Mj8/H3Pnzi3Xq2NsbIyEhAT06NEDCgoKaNq0ab20T1W++OILBAcHIzo6GqNGjYKbmxvc3d0RGhoKW1tbPHjwAAkJCbCxscHHH3+MOXPmYNCgQTA3N8c///yDxMREWFpaCvVdvXo1Zs+ejVmzZiEzMxOLFi2Ct7e38EVE3759ERERARcXF2hqasLf379Gye+iRYvQr18/tGnTBmPHjsXr169x+PBhzJs3D+bm5nWKm4iIPlxvNQtiyTj39evXY9WqVcJf2Wl+id4VJiYmuHz5MhwdHeHj44P27dujf//+SEhIQFhYGIA3D9evXLkSy5cvR/v27REVFYWlS5fW+dienp7w9vaGj48PrK2tERcXh9jYWJiZmdW57NLqEr+/vz/09PRgamqK8ePH48mTJ0hISMC8efOEbUp68oqKijBgwABYW1tjzpw50NTUlJjowN3dHS9evECXLl3g4eEBLy8v4ceitbW1ERERgR9//BHt2rXDsmXLEBISUqMYR44ciYEDB8LR0RHa2trYvXt3LVpHkrOzMw4ePIhjx47B3t4e3bp1w6pVq2BkZFTjMlq2bClMVqGjoyMxy2JpdnZ22LdvH/bs2YP27dvD398fQUFBVU5bX5nWrVvDyMgIT58+lehRNTQ0hL6+Pl69eiXRM7Z9+3b8888/sLOzw/jx4+Hp6SkMWywRGhqK+Ph4GBgYwNbWFkD9tE9VtLS04O7ujoCAABQXFyM8PBzu7u7w8fFB27ZtMWzYMFy8eBGGhoYA3vQyenh4wNLSEgMHDoS5ubmQwLZs2RKHDx9GcnIyOnTogOnTp2Py5Mn45ptvhOMtWLAAvXv3xpAhQ/Dxxx9j2LBhNRrF0adPH/z444+IjY1Fx44d0bdvXyQnJwvr6xI3ERF9uETi2sxQQERUhT59+qBjx478MoaojvLz86GhoQGDOfsgo9Cwz5/WRI7iuMYOodFYtzas1fb7lr6ufqMqWN7IKLes5Hx48uQJ1NXV61Q+ETW+WveAERERERER0dup9TNgAPDnn38iNjYWubm55WbTWrlyZb0ERkRERERE9L6pdQKWkJCATz75BCYmJrhx4wbat2+PnJwciMVi2NnZNUSMRPQfcfLkycYOgYiIiOidVushiAsWLICvry/S09OhqKiI6Oho3L59G71798bo0aMbIkYiIiIiIqL3Qq0TsIyMDLi7uwMA5OTk8OLFC6iqqiIoKKjCH2glIiIiIiKiN2qdgKmoqAjPfenp6SE7O1tYV/YHPomIiIiIiOj/1foZsG7duuHs2bOwtLTE4MGD4ePjg/T0dOzfvx/dunVriBiJiIiIiIjeC7VOwFauXImCggIAQGBgIAoKCrB3716YmZlxBkQiIiIiIqIq1DoBMzExEf6toqKCTZs21WtARERERERE7yv+EDMREREREZGUiMRisbgmG7Zu3RoikajqwkQiiUk5iIiIqPby8/OhoaGBJ0+eQF1dvbHDoUbG84Ho/VLjIYhz5sypdF1OTg42b96Mly9f1kdMRERERERE76UaJ2BeXl7llj169AjBwcEICwtD165d+TtgREREREREVaj1JBwA8OLFC6xcuRIhISEwMjLC/v37MXjw4PqOjYiIiIiI6L1SqwSsqKgIW7duRWBgIBQVFbF27Vp89tln1T4bRkRERERERLVIwPbt24dvvvkGjx8/xtdff40ZM2ZAXl6+IWMjIiIiIiJ6r9R4FkQZGRkoKSnB1dW1yhl4+GPMREREdcNZ76g0ng9E75ca94D16tWr2mnmORSRiIiIiIiocjVOwE6ePNmAYRAREREREb3/ZBo7ACIiIiIiog8FEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZTUOgEzNjZGUFAQcnNzGyIeIiIiIiKi91atE7A5c+Zg//79MDExQf/+/bFnzx68fPmyIWIjIiIiIiJ6r7xVApaamork5GRYWlpi9uzZ0NPTw6xZs3D58uWGiJGIiIiIiOi9IBKLxeK6FFBYWIiNGzdi3rx5KCwshLW1NTw9PTFp0iSIRKL6ipOIiOiDkZ+fDw0NDTx58gTq6uqNHQ41Mp4PRO8XubfdsbCwEAcOHEB4eDji4+PRrVs3TJ48GX/++Se++uorHD9+HD/88EN9xkpERERERPSfVusE7PLlywgPD8fu3bshIyMDd3d3rFq1ChYWFsI2w4cPh729fb0GSkRERERE9F9X6wTM3t4e/fv3R1hYGIYNG4YmTZqU26Z169YYO3ZsvQRIRERERET0vqh1AvbHH3/AyMioym1UVFQQHh7+1kERERERERG9j2o9C+L9+/dx4cKFcssvXLiAS5cu1UtQRERERERE76NaJ2AeHh64fft2ueV//fUXPDw86iUoIiIiIiKi91GtE7Dr16/Dzs6u3HJbW1tcv369XoIiIiIiIiJ6H9U6AVNQUMC9e/fKLc/Ly4Oc3FvPak9ERERERPTeq3UCNmDAACxYsABPnjwRlj1+/BhfffUV+vfvX6/BERERERERvU9q3WUVEhKCXr16wcjICLa2tgCA1NRU6OjoYOfOnfUeIBERERER0fui1glYy5YtcfXqVURFRSEtLQ1KSkqYNGkSXF1dK/xNMCIiIiIiInrjrR7aUlFRwbRp0+o7FiIiIiIiovfaWyVgWVlZSExMxP3791FcXCyxzt/fv14CIyIiIiIiet/UOgHbunUrZsyYgebNm0NXVxcikUhYJxKJmIARERERERFVQiQWi8W12cHIyAgzZ87EvHnzGiomIiKiD1p+fj40NDRgMGcfZBSUGy2OHMVxjXbshmDd2lBqx9q39PVb7Wd5I6PcspLz4cmTJ1BXV69raETUyGo9Df0///yD0aNHN0QsRERERERE77VaJ2CjR4/GsWPHGiIWIiIiIiKi91qtnwEzNTXFwoUL8euvv8La2rrc1POenp71FhwREREREdH7pNYJ2JYtW6CqqopTp07h1KlTEutEIhETMCIiIiIiokrUOgG7detWQ8RBRERERET03qv1M2AlXr16hczMTLx+/Xaz/BAREREREX1oap2APX/+HJMnT4aysjKsrKyQm5sLAJg9ezaWLVtW7wESERERERG9L2qdgC1YsABpaWk4efIkFBUVheVOTk7Yu3dvvQZHRERERET0Pqn1M2AxMTHYu3cvunXrBpFIJCy3srJCdnZ2vQZHRERERET0Pql1D9iDBw/QokWLcsufPXsmkZB9CCIiIqCpqSm8DggIQMeOHSW2CQgIgI6ODkQiEWJiYho0HmNjY6xevbpBj0EN7/nz5xg5ciTU1dUhEonw+PHjxg6JGljZa8fEiRMxbNiwRounrspeG4mIiOj/1ToB69y5Mw4dOiS8Lkm6tm3bBgcHh/qLrIHdvXsXs2fPhomJCRQUFGBgYAAXFxckJCS8dZm+vr4S+2dkZCAwMBCbN29GXl4eBg0aVB+hV+rixYuYNm1ancowNjaGSCSCSCSCkpISjI2NMWbMGJw4caKeoqwfFSW7jenkyZP1lixFRkbizJkzOHfuHPLy8qChoVFum4iICOF9kpGRgZ6eHj799FPhmUz6f//FtlqzZg0iIiIaO4wGVfKeiEQiqKurw97eHj///HNjh0VERNTgap2Affvtt/jqq68wY8YMvH79GmvWrMGAAQMQHh6OJUuWNESM9S4nJwedOnXCiRMn8N133yE9PR1xcXFwdHSEh4fHW5erqqqKZs2aCa9LhmQOHToUurq6UFBQeKtyCwsLa7SdtrY2lJWV3+oYpQUFBSEvLw+ZmZn4/vvvoampCScnp3fi/RWLxe/9zJvZ2dmwtLRE+/btoaurW2nPsrq6OvLy8vDXX38hOjoamZmZGD16tJSjrZ1Xr141ynH/a22loaHxQfQghYeHIy8vD5cuXUKPHj0watQopKenN3ZYddJY5zgREf131DoB69mzJ1JTU/H69WtYW1vj2LFjaNGiBc6fP49OnTo1RIz1bubMmRCJREhOTsbIkSNhbm4OKysreHt749dffxW2W7lyJaytraGiogIDAwPMnDkTBQUFlZZbulcmICAALi4uAAAZGRnhJrq4uBhBQUFo1aoVFBQU0LFjR8TFxQll5OTkQCQSYe/evejduzcUFRURFRUlDEkKCQmBnp4emjVrBg8PD4nkrOwQxNrGX0JNTQ26urowNDREr169sGXLFixcuBD+/v7IzMwUtrt27RoGDRoEVVVV6OjoYPz48fj777+F9X369MGsWbMwa9YsaGhooHnz5li4cCHEYrGwzc6dO9G5c2fhmOPGjcP9+/eF9SU9S0eOHEGnTp2goKCAXbt2ITAwEGlpacI36CW9BSKRCJs3b8aQIUOgrKwMS0tLnD9/Hjdv3kSfPn2goqKC7t27l3te8eeff4adnR0UFRVhYmKCwMBAiURPJBJh27ZtGD58OJSVlWFmZobY2FjhPXN0dAQANG3aFCKRCBMnTqy0faOjo2FlZQUFBQUYGxsjNDRUos1CQ0Nx+vRpiEQi9OnTp9JyRCIRdHV1oaenh+7du2Py5MlITk5Gfn5+jeolFosREBAAQ0NDKCgoQF9fX+KH1P/55x+4u7ujadOmUFZWxqBBg5CVlSWsr6gXcvXq1TA2NhZel5y3S5Ysgb6+Ptq2bQsA+PPPP+Hq6gotLS2oqKigc+fOuHDhQr3E3RBtBQCPHz/GF198AR0dHSgqKqJ9+/Y4ePAgnj17BnV1dfz0008Sx4yJiYGKigqePn1aozqXVnYIYp8+feDp6Qk/Pz9oaWlBV1cXAQEBEvvcuHEDPXv2hKKiItq1a4fjx49XO/Q5Li4OPXv2hKamJpo1a4YhQ4ZIfDZKrkf79++Ho6MjlJWV0aFDB5w/f16inIiICBgaGkJZWRnDhw/Hw4cPKz1maZqamtDV1YW5uTmCg4Px+vVrJCYmCutv376NMWPGQFNTE1paWhg6dChycnIkytixY4fwedLT08OsWbOEdbm5uRg6dChUVVWhrq6OMWPG4N69ewCA33//HSKRCDdu3JAob9WqVWjTpo3wuqbXuTlz5qB58+ZwdnbG559/jiFDhkiUW1hYiBYtWmD79u01ahsiInp/vdXvgLVp0wZbt25FcnIyrl+/jl27dsHa2rq+Y2sQjx49QlxcHDw8PKCiolJufelvnWVkZLB27Vr89ttviIyMxIkTJ+Dn51ej4/j6+iI8PBwAkJeXh7y8PABvhhaFhoYiJCQEV69ehbOzMz755BOJG1sAmD9/Pry8vJCRkQFnZ2cAQGJiIrKzs5GYmIjIyEhERERUOUypLvGX5eXlBbFYLAwRevz4Mfr27QtbW1tcunQJcXFxuHfvHsaMGSOxX2RkJOTk5JCcnIw1a9Zg5cqV2LZtm7C+sLAQwcHBSEtLQ0xMDHJycipMXubPn49ly5YhIyMD/fv3h4+PD6ysrIS2/fTTT4Vtg4OD4e7ujtTUVFhYWGDcuHH44osvsGDBAly6dAlisVjiJu3MmTNwd3eHl5cXrl+/js2bNyMiIqJcj19gYCDGjBmDq1evYvDgwXBzc8OjR49gYGCA6OhoAEBmZiby8vKwZs2aCtsxJSUFY8aMwdixY5Geno6AgAAsXLhQeB/379+PqVOnwsHBAXl5edi/f3+N3p/79+/jwIEDkJWVhaysbI3qFR0djVWrVmHz5s3IyspCTEyMxOd44sSJuHTpEmJjY3H+/HmIxWIMHjy4xj2yJRISEpCZmYn4+HgcPHgQBQUF6N27N/766y/ExsYiLS0Nfn5+KC4urpe4G6KtiouLMWjQICQlJWHXrl24fv06li1bBllZWaioqGDs2LHC571EeHg4Ro0aBTU1tWrrXBORkZFQUVHBhQsXsGLFCgQFBSE+Ph4AUFRUhGHDhkFZWRkXLlzAli1b8PXXX1db5rNnz+Dt7Y1Lly4hISEBMjIyGD58eLm4vv76a/j6+iI1NRXm5uZwdXUVktMLFy5g8uTJmDVrFlJTU+Ho6IjFixfXuF4A8Pr1ayExkZeXB/Dm2uDs7Aw1NTWcOXMGSUlJUFVVxcCBA4VeprCwMHh4eGDatGlIT09HbGwsTE1NAbx5z4YOHYpHjx7h1KlTiI+Pxx9//CFcK8zNzdG5c2dERUVJxBIVFYVx48YBqN11Tl5eHklJSdi0aROmTJmCuLg44boPAAcPHsTz588lrlVERPRhqvUsiKW/MS5NJBJBQUFB+M/zXXXz5k2IxWJYWFhUu+2cOXOEfxsbG2Px4sWYPn06Nm7cWO2+qqqqQjKnq6srLA8JCcG8efMwduxYAMDy5cuRmJiI1atXY8OGDRLHHjFihESZTZs2xfr16yErKwsLCwt8/PHHSEhIwNSpU+s9/rK0tLTQokUL4dvn9evXw9bWFt9++62wzY4dO2BgYIDff/8d5ubmAAADAwOsWrUKIpEIbdu2RXp6OlatWiXE/Pnnnwv7m5iYYO3atbC3t0dBQQFUVVWFdUFBQejfv7/wWlVVFXJychJtW2LSpEnCDdK8efPg4OCAhQsXComsl5cXJk2aJGwfGBiI+fPnY8KECUIcwcHB8PPzw6JFi4TtJk6cCFdXVwBvhuKuXbsWycnJGDhwILS0tAAALVq0qHLo2MqVK9GvXz8sXLgQwJubwOvXr+O7777DxIkToaWlBWVlZcjLy1dYt9KePHkCVVVViMViPH/+HADg6ekpfLFQXb1yc3Ohq6sLJycnNGnSBIaGhujSpQsAICsrC7GxsUhKSkL37t0BvLkxNTAwQExMTK2G76moqGDbtm3CtWHLli148OABLl68KLRbyU1zXeNuqLY6fvw4kpOTkZGRIZzbJiYmQvlTpkxB9+7dkZeXBz09Pdy/fx+HDx/G8ePHAQA//PBDlXWuCRsbG+F8NDMzw/r165GQkID+/fsjPj4e2dnZOHnypHDeLFmyROIzU5GRI0dKvN6xYwe0tbVx/fp1tG/fXlju6+uLjz/+WGgrKysr3Lx5ExYWFlizZg0GDhwofLljbm6Oc+fOSfTsV8bV1RWysrJ48eIFiouLhWdOAWDv3r0oLi7Gtm3bhBEE4eHh0NTUxMmTJzFgwAAsXrwYPj4+8PLyEsq0t7cH8CbxT09Px61bt2BgYAAA+P7772FlZYWLFy/C3t4ebm5uWL9+PYKDgwG86RVLSUnBrl27ANT8OmdmZoYVK1ZI1K1t27bYuXOn0C7h4eEYPXq0xHWttJcvX+Lly5fC68r+ryUiov++WveAaWpqomnTpuX+NDU1oaSkBCMjIyxatKhW3+xKU+nhb9U5fvw4+vXrh5YtW0JNTQ3jx4/Hw4cPhRu42srPz8edO3fQo0cPieU9evRARkaGxLLOnTuX29/Kykr4xh6AcKMnrfjFYrFwI5SWlobExESoqqoKfyVJbekhTGV/rsDBwQFZWVkoKioC8KZHyMXFBYaGhlBTU0Pv3r0BoNwECRW1R2VsbGyEf+vo6ACARA+Jjo4O/v33X+EGJy0tDUFBQRJ1mTp1KvLy8iTaqnS5KioqUFdXr7L9K5KRkVHh+1+6TWpKTU0NqampuHTpEkJDQ2FnZyfRa1ddvUaPHo0XL17AxMQEU6dOxYEDB4RejYyMDMjJyaFr165Cec2aNUPbtm3LnavVsba2lvhiJjU1Fba2tkIiUlZd4m6otkpNTUWrVq2EG+6yunTpAisrK0RGRgIAdu3aBSMjI/Tq1atGda6J0ucfIPn5z8zMhIGBgUTSXl1SCrxJtF1dXWFiYgJ1dXVh+GjZz1/pY+vp6QGAcOyMjAyJ8wRAjSdkWrVqFVJTU3HkyBG0a9cO27ZtE9ooLS0NN2/ehJqamvCeaGlp4d9//0V2djbu37+PO3fuoF+/fhWWnZGRAQMDAyH5AoB27dpBU1NTOIfHjh2LnJwcYeh5VFQU7OzshGtZTa9zFQ2/nzJlitAreu/ePRw5ckTiC6eyli5dCg0NDeGvdNxERPR+qXUPWEREBL7++mtMnDhR+A8+OTkZkZGR+Oabb/DgwQOEhIRAQUEBX331Vb0HXFdmZmYVjvsvKycnB0OGDMGMGTOwZMkSaGlp4ezZs5g8eTJevXpVL5NdVKWi4ZFNmjSReC0SiSpNdOs7/ocPH+LBgwdo3bo1AKCgoAAuLi5Yvnx5uW1LbtCq8+zZMzg7O8PZ2RlRUVHQ1tZGbm4unJ2dyz3IXlF7VKZ0O5UkfxUtK2m7goICBAYGlutxBCDxY+O1aX9pkJGREXpRLC0tkZ2djRkzZmDnzp0Aqq+XgYEBMjMzcfz4ccTHx2PmzJn47rvvcOrUqRofv+wXGhUNTyz73ikpKVVZbl3iLvselY61Lm1VXczAmxvuDRs2YP78+QgPD8ekSZOEc60m+1enIc4/FxcXGBkZYevWrdDX10dxcTHat29f7vNX1eenLnR1dWFqagpTU1OEh4dj8ODBuH79Olq0aIGCggJ06tSp3BBB4M2EQzIybzWCvtzx+/btix9++AHdunXDDz/8gBkzZgjra3qdq+j65O7ujvnz5+P8+fM4d+4cWrdujY8++qjSWBYsWABvb2/hdX5+PpMwIqL3VK0TsMjISISGhkqMgXdxcYG1tTU2b96MhIQEGBoaYsmSJe9kAqalpQVnZ2ds2LBBYghSicePH0NTUxMpKSkoLi5GaGio8B/9vn376nRsdXV16OvrIykpSejpAYCkpKQafVtdG/Ud/5o1ayAjIyNMDGBnZ4fo6GgYGxtDTq7y06jsJAO//vorzMzMICsrixs3buDhw4dYtmyZcKNx6dKlGsUjLy9f6x6jytjZ2SEzM7PWQ8LKxgOg2pgsLS2RlJQksSwpKQnm5uYSvZtvY/78+WjTpg2+/PJL2NnZ1aheSkpKcHFxgYuLCzw8PGBhYYH09HRYWlri9evXuHDhgjAE8eHDh8jMzES7du0AvLkJvnv3rkTPaGpqarVx2tjYYNu2bXj06FGFPUJ1idvOzq7a4wO1bysbGxv8+eefEsPOyvrss8/g5+eHtWvX4vr168JwxprUua7atm2L27dv4969e0Kv78WLF6vcp+T93Lp1q5AYnD17ttbHtrS0rPBzXltdunRBp06dsGTJEqxZswZ2dnbYu3cvWrRoAXV19Qr3MTY2RkJCgjAJTtm4bt++jdu3bwvXl+vXr+Px48fCOQwAbm5u8PPzg6urK/744w9heDhQ8+tcRZo1a4Zhw4YhPDwc58+flxj2XBEFBYW3nimXiIj+W2r9FeK5c+dga2tbbrmtra0wM1bPnj3f6d/Y2bBhA4qKitClSxdER0cjKysLGRkZWLt2rTB0xtTUFIWFhVi3bh3++OMP7Ny5E5s2barzsefOnYvly5dj7969yMzMxPz585GamirxDEN9qEv8T58+xd27d3H79m2cPn0a06ZNw+LFi7FkyRLhBtXDwwOPHj2Cq6srLl68iOzsbBw9ehSTJk2SSEJyc3Ph7e2NzMxM7N69G+vWrRPqamhoCHl5eSHG2NhY4VmM6hgbG+PWrVtITU3F33//LfHsRG35+/vj+++/R2BgIH777TdkZGRgz549+Oabb2pchpGREUQiEQ4ePIgHDx5UOtukj48PEhISEBwcjN9//x2RkZFYv349fH193zr+EgYGBhg+fDj8/f1rVK+IiAhs374d165dwx9//IFdu3YJw4jNzMwwdOhQTJ06FWfPnkVaWho+++wztGzZEkOHDgXwZva3Bw8eYMWKFcjOzsaGDRtw5MiRauN0dXWFrq4uhg0bhqSkJPzxxx+Ijo4Wrh91ibuh2qp3797o1asXRo4cifj4eNy6dQtHjhyReM6padOmGDFiBObOnYsBAwagVatWNa5zXfXv3x9t2rTBhAkTcPXqVSQlJQmxV/YzBk2bNkWzZs2wZcsW3Lx5EydOnJDogakpT09PxMXFISQkBFlZWVi/fn2Nnv+qyJw5c7B582b89ddfcHNzQ/PmzTF06FCcOXMGt27dwsmTJ+Hp6Yk///wTwJuZOENDQ7F27VpkZWXh8uXLWLduHQDAyckJ1tbWcHNzw+XLl5GcnAx3d3f07t1bYkjziBEj8PTpU8yYMQOOjo7Q19cX1tX0OleZKVOmIDIyEhkZGRIJORERfdhqnYAZGBhUOI3u9u3bhW8ZHz58iKZNm9Y9ugZiYmKCy5cvw9HRET4+Pmjfvj369++PhIQEhIWFAQA6dOiAlStXYvny5Wjfvj2ioqKwdOnSOh/b09MT3t7e8PHxgbW1NeLi4hAbGwszM7M6l11aXeL39/eHnp4eTE1NMX78eDx58gQJCQmYN2+esE1JT15RUREGDBgAa2trzJkzB5qamhJDg9zd3fHixQt06dIFHh4e8PLyEn4sWltbGxEREfjxxx/Rrl07LFu2DCEhITWKceTIkRg4cCAcHR2hra2N3bt316J1JDk7O+PgwYM4duwY7O3t0a1bN6xatapWN/QtW7YUJnLQ0dGRmGWxNDs7O+zbtw979uxB+/bt4e/vj6CgoCqnra+NL7/8EocOHUJycnK19dLU1MTWrVvRo0cP2NjY4Pjx4/jll1+E37ILDw9Hp06dMGTIEDg4OEAsFuPw4cPCcDRLS0ts3LgRGzZsQIcOHZCcnFyjRFJeXl74+YrBgwfD2tpamFEQqP79qC7uhmgr4M3si/b29nB1dUW7du3g5+dX7ia8ZIhv2Wd9qqtzXcnKyiImJgYFBQWwt7fHlClThFkQSw+jLU1GRgZ79uxBSkoK2rdvjy+//BLfffddrY/drVs3bN26FWvWrEGHDh1w7NixWn15UdrAgQPRunVrLFmyBMrKyjh9+jQMDQ0xYsQIWFpaYvLkyfj333+FHrEJEyZg9erV2LhxI6ysrDBkyBBhRlmRSISff/4ZTZs2Ra9eveDk5AQTExPs3btX4phqampwcXFBWloa3NzcJNbV9DpXGScnJ+jp6cHZ2VkisSMiog+bSFybWSkAxMbGYvTo0bCwsBBmm7p06RJu3LiBn376CUOGDEFYWBiysrKwcuXKBgma/hv69OmDjh07Svw2GdH7bOfOnfjyyy9x586dRp8RNikpCT179sTNmzclfteKpKegoAAtW7ZEeHh4hc8XViU/P//NZBxz9kFGoWGfOa5KjuK4Rjt2Q7BubSi1Y+1bWvXkQJWxvFF+oqOS8+HJkyeVDsklov+OWj8D9sknnyAzMxObN28WfpR30KBBiImJEWbQKv0QMxHR++758+fIy8vDsmXL8MUXXzRK8nXgwAGoqqrCzMwMN2/ehJeXF3r06MHkqxEUFxfj77//RmhoKDQ1NfHJJ580dkhERPQOqXUCBrx5/qai4WzXrl2T+O0YIqIPwYoVK7BkyRL06tULCxYsaJQYnj59innz5iE3NxfNmzeHk5MTQkNDGyWWD11ubi5at26NVq1aISIiotYTeBAR0fut1kMQy3r69Cl2796Nbdu2ISUlpd5mpiMiIvpQcQhiw+AQRCJ6F7z1D6mcPn0aEyZMgJ6eHkJCQtC3b9+3mnqYiIiIiIjoQ1GrcRF3794VpoDOz8/HmDFj8PLlS8TExEj8rgoRERERERGVV+MeMBcXF7Rt2xZXr17F6tWrcefOHeH3VoiIiIiIiKh6Ne4BO3LkCDw9PTFjxox6/80qIiIiIiKiD0GNe8DOnj2Lp0+folOnTujatSvWr1+Pv//+uyFjIyIiIiIieq/UOAHr1q0btm7diry8PHzxxRfYs2cP9PX1UVxcjPj4eDx9+rQh4yQiIiIiIvrPq/UsiCoqKvj8889x9uxZpKenw8fHB8uWLUOLFi34Y5NERERERERVqPPvgAFAUVERfvnlF+zYsQOxsbH1ERcREdEHi7/7RKXxfCB6v9RLAkZERET1hzfcVBrPB6L3y1v/EDMRERERERHVDhMwIiIiIiIiKWECRkREREREJCVMwIiIiIiIiKSECRgREREREZGUMAEjIiIiIiKSEiZgREREREREUsIEjIiIiIiISEqYgBEREREREUkJEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZQwASMiIiIiIpISJmBERERERERSwgSMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikhImYERERERERFLCBIyIiIiIiEhKmIARERERERFJCRMwIiIiIiIiKWECRkREREREJCVMwIiIiIiIiKSECRgREREREZGUMAEjIiIiIiKSErnGDoCIiIgq1n7RUcgoKDdY+TmK4xqsbKq5jD36wr8tb2Q0YiREJA3sASMiIiIiIpISJmBERERERERSwgSMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikpL3IgGLiIiApqam8DogIAAdO3aU2CYgIAA6OjoQiUSIiYlp0HiMjY2xevXqBj0GNbznz59j5MiRUFdXh0gkwuPHjxs7pHdKnz59MGfOnMYOo15VdO14H0ycOBHDhg1r7DBqrOw1nYiI6H3S6AnY3bt3MXv2bJiYmEBBQQEGBgZwcXFBQkLCW5fp6+srsX9GRgYCAwOxefNm5OXlYdCgQfUReqUuXryIadOm1akMY2NjiEQiiEQiKCkpwdjYGGPGjMGJEyfqKcr68a7dsJ48ebLekqXIyEicOXMG586dQ15eHjQ0NCrc7tWrV1ixYgU6dOgAZWVlNG/eHD169EB4eDgKCwvrHMe7av/+/QgODhZe19cXDw8ePMCMGTNgaGgIBQUF6OrqwtnZGUlJSXUuuzplrx0fipLPjUgkgoyMDDQ0NGBraws/Pz/k5eU1dnj/eUwoiYioNLnGPHhOTg569OgBTU1NfPfdd7C2tkZhYSGOHj0KDw8P3Lhx463KVVVVhaqqqvA6OzsbADB06FCIRKK3jrewsBBNmjSpdjttbe23PkZpQUFBmDp1Kl69eoWcnBzs2rULTk5OCA4Oxtdff10vx3hbYrEYRUVFjRpDQ8vOzoalpSXat29f6TavXr2Cs7Mz0tLSEBwcjB49ekBdXR2//vorQkJCYGtr+04lqPVJS0urQcodOXIkXr16hcjISJiYmODevXtISEjAw4cP37rMV69eQV5evtrtyl47PjSZmZlQV1dHfn4+Ll++jBUrVmD79u04efIkrK2tGzs8IiKi90Kj9oDNnDkTIpEIycnJGDlyJMzNzWFlZQVvb2/8+uuvwnYrV66EtbU1VFRUYGBggJkzZ6KgoKDSckv3ygQEBMDFxQUAICMjIyRgxcXFCAoKQqtWraCgoICOHTsiLi5OKCMnJwcikQh79+5F7969oaioiKioKGEoT0hICPT09NCsWTN4eHhI9HSU7Qmobfwl1NTUoKurC0NDQ/Tq1QtbtmzBwoUL4e/vj8zMTGG7a9euYdCgQVBVVYWOjg7Gjx+Pv//+W1jfp08fzJo1C7NmzYKGhgaaN2+OhQsXQiwWC9vs3LkTnTt3Fo45btw43L9/X1hf8g35kSNH0KlTJygoKGDXrl0IDAxEWlqa8O15REQEAEAkEmHz5s0YMmQIlJWVYWlpifPnz+PmzZvo06cPVFRU0L17dyE5LvHzzz/Dzs4OioqKMDExQWBgIF6/fi2sF4lE2LZtG4YPHw5lZWWYmZkhNjZWeM8cHR0BAE2bNoVIJMLEiRMrbd/o6GhYWVlBQUEBxsbGCA0NlWiz0NBQnD59GiKRCH369KmwjNWrV+P06dNISEiAh4cHOnbsCBMTE4wbNw4XLlyAmZkZAODly5fw9PREixYtoKioiJ49e+LixYvl2vfo0aOwtbWFkpIS+vbti/v37+PIkSOwtLSEuro6xo0bh+fPn0vEOXv2bMyZMwdNmzaFjo4Otm7dimfPnmHSpElQU1ODqakpjhw5IuxT0bfxMTExEl9OlHyGdu7cCWNjY2hoaGDs2LF4+vSpxLFLhiD26dMH//vf//Dll18K58KzZ8+grq6On376qdyxVFRUJMoq8fjxY5w5cwbLly+Ho6MjjIyM0KVLFyxYsACffPKJxHZTpkyBtrY21NXV0bdvX6SlpZWLf9u2bWjdujUUFRWxZcsW6Ovro7i4WOKYQ4cOxeeffy6xX2k7duwQzhM9PT3MmjWrxnGkpaXB0dERampqUFdXR6dOnXDp0qVy9S5R3bWi5L07evQoLC0toaqqioEDB0r0UhUVFcHb2xuamppo1qwZ/Pz8JD7rVWnRogV0dXVhbm6OsWPHIikpCdra2pgxY4bEdtu2bYOlpSUUFRVhYWGBjRs3Cuu6d++OefPmSWz/4MEDNGnSBKdPnwbw5vPg6+uLli1bQkVFBV27dsXJkyerjC0sLAxt2rSBvLw82rZti507d0qsF4lECAsLw6BBg6CkpAQTExOJc6/kmr5v3z589NFHUFJSgr29PX7//XdcvHgRnTt3hqqqKgYNGoQHDx7UuL4l5e7fvx+Ojo5QVlZGhw4dcP78eQBvPtuTJk3CkydPhM9GQEBA1W8EERG91xotAXv06BHi4uLg4eEBFRWVcutL3yDKyMhg7dq1+O233xAZGYkTJ07Az8+vRsfx9fVFeHg4ACAvL0+4UVmzZg1CQ0MREhKCq1evwtnZGZ988gmysrIk9p8/fz68vLyQkZEBZ2dnAEBiYiKys7ORmJiIyMhIRERECIlHReoSf1leXl4Qi8X4+eefAby5Aezbty9sbW1x6dIlxMXF4d69exgzZozEfpGRkZCTk0NycjLWrFmDlStXYtu2bcL6wsJCBAcHIy0tDTExMcjJyakweZk/fz6WLVuGjIwM9O/fHz4+PrCyshLa9tNPPxW2DQ4Ohru7O1JTU2FhYYFx48bhiy++wIIFC3Dp0iWIxWKJm9kzZ87A3d0dXl5euH79OjZv3oyIiAgsWbJEIobAwECMGTMGV69exeDBg+Hm5oZHjx7BwMAA0dHRAN58k5+Xl4c1a9ZU2I4pKSkYM2YMxo4di/T0dAQEBGDhwoXC+7h//35MnToVDg4OyMvLw/79+yssJyoqCk5OTrC1tS23rkmTJsK57efnh+joaERGRuLy5cswNTWFs7MzHj16JLFPQEAA1q9fj3PnzuH27dsYM2YMVq9ejR9++AGHDh3CsWPHsG7dOol9IiMj0bx5cyQnJ2P27NmYMWMGRo8eje7du+Py5csYMGAAxo8fL5G41UR2djZiYmJw8OBBHDx4EKdOncKyZcsq3Hb//v1o1aoVgoKChHNBRUUFY8eOFT5/JcLDwzFq1CioqamVK6ekByomJgYvX76sNLbRo0cLyWlKSgrs7OzQr18/ifa8efMmoqOjsX//fqSmpmL06NF4+PAhEhMThW1KrkNubm4VHicsLAweHh6YNm0a0tPTERsbC1NT0xrH4ebmhlatWuHixYtISUnB/Pnzq+xFr8m14vnz5wgJCcHOnTtx+vRp5ObmwtfXV1gfGhqKiIgI7NixA2fPnsWjR49w4MCBSo9ZFSUlJUyfPh1JSUnCFzJRUVHw9/fHkiVLkJGRgW+//RYLFy5EZGSkUOc9e/ZIJH179+6Fvr4+PvroIwDArFmzcP78eezZswdXr17F6NGjMXDgwHLX3xIHDhyAl5cXfHx8cO3aNXzxxReYNGmSxHsJAAsXLsTIkSORlpYGNzc3jB07FhkZGRLbLFq0CN988w0uX74MOTk5jBs3Dn5+flizZg3OnDmDmzdvwt/fX9i+uvqW+Prrr+Hr64vU1FSYm5vD1dUVr1+/Rvfu3bF69Wqoq6sLn43S7xcREX14Gm0I4s2bNyEWi2FhYVHttqUf9Dc2NsbixYsxffp0iW8hK6Oqqiokc7q6usLykJAQzJs3D2PHjgUALF++HImJiVi9ejU2bNggcewRI0ZIlNm0aVOsX78esrKysLCwwMcff4yEhARMnTq13uMvS0tLCy1atEBOTg4AYP369bC1tcW3334rbLNjxw4YGBjg999/h7m5OQDAwMAAq1atgkgkQtu2bZGeno5Vq1YJMZf0AACAiYkJ1q5dC3t7exQUFEgMyQoKCkL//v2F16qqqpCTk5No2xKTJk0SEsF58+bBwcEBCxcuFBJZLy8vTJo0Sdg+MDAQ8+fPx4QJE4Q4goOD4efnh0WLFgnbTZw4Ea6urgCAb7/9FmvXrkVycjIGDhwoDItr0aJFlc9crFy5Ev369cPChQsBAObm5rh+/Tq+++47TJw4EVpaWlBWVoa8vHyFdSuRlZVVae9YiWfPniEsLAwRERHC84dbt25FfHw8tm/fjrlz5wrbLl68GD169AAATJ48GQsWLEB2djZMTEwAAKNGjUJiYqJED0OHDh3wzTffAAAWLFiAZcuWoXnz5sJ76+/vj7CwMFy9ehXdunWrMtbSiouLERERISRK48ePR0JCQrmEGHhzXsrKygo9qCWmTJmC7t27Iy8vD3p6erh//z4OHz6M48ePV3hMOTk5REREYOrUqdi0aRPs7OzQu3dvjB07FjY2NgCAs2fPIjk5Gffv34eCggKAN5/nmJgY/PTTT8Lzl69evcL3338vMSR40KBB+OGHH9CvXz8AwE8//YTmzZsLPadlLV68GD4+PvDy8hKW2dvb1ziO3NxczJ07V7jOlfSIVqYm14rCwkJs2rQJbdq0AfAmmQkKChLWr169GgsWLBCuW5s2bcLRo0erPG5VSmLPyclBixYtsGjRIoSGhgrlt27dWvjCZMKECRgzZgzmzJmDs2fPCgnXDz/8AFdXV4hEIuTm5iI8PBy5ubnQ19cH8OaLsri4OISHh0tcy0qEhIRg4sSJmDlzJgAIoyRCQkIk3rvRo0djypQpAN58ARQfH49169ZJtJ+vr6/ENcjV1RUJCQkSn7vSX6hVV9/S5X788ccA3lzLrKyscPPmTVhYWEBDQwMikajKa8nLly8lvnTIz8+v/E0hIqL/tEbrAavpkBgAOH78OPr164eWLVtCTU0N48ePx8OHD2v9jX6J/Px83LlzR/gPt0SPHj3KfVvauXPncvtbWVlBVlZWeF1yYymt+MVisTBcLC0tDYmJiULPgaqqqnDDVHp4X7du3SSGmDk4OCArK0t4jislJQUuLi4wNDSEmpoaevfuDQDIzc2VOHZF7VGZkhtmANDR0QEAiedIdHR08O+//wo3GmlpaQgKCpKoy9SpU5GXlyfRVqXLVVFRgbq6epXtX5GMjIwK3//SbVITNTmPs7OzUVhYKHG8Jk2aoEuXLuXOt7JtpqysLCRfJcvK1rX0PrKysmjWrFm5dgZQ6zYyNjaW6KWq7jyvSJcuXWBlZSX0FuzatQtGRkbo1atXpfuMHDkSd+7cQWxsLAYOHIiTJ0/Czs5OuClOS0tDQUEBmjVrJnGu3Lp1S+KcNzIyKvc8ppubG6Kjo4Ub3aioKIwdOxYyMuUvhffv38edO3eEZK2smsTh7e2NKVOmwMnJCcuWLSs35LasmlwrlJWVheQLkHxfnjx5gry8PHTt2lVYLycnV6vPbVkl53jJsNLs7GxMnjxZos6LFy8W6qatrY0BAwYgKioKAHDr1i2cP39e6GVMT09HUVERzM3NJco4depUpe1T2ee17OfHwcGh3OvqPmNA+etSSXvWpL4Vlaunpwegdp+5pUuXQkNDQ/gzMDCo8b5ERPTf0mg9YGZmZhCJRNVOtJGTk4MhQ4ZgxowZWLJkCbS0tHD27FlMnjwZr169grKycoPGWdHwyLJDiEQiUbnnSkrUd/wPHz7EgwcP0Lp1awBAQUEBXFxcsHz58nLbltwEVOfZs2dwdnaGs7MzoqKioK2tjdzcXDg7O+PVq1cS21bUHpUp3U4lyV9Fy0rarqCgAIGBgeV6HAFAUVGxwnJLyqms/Ruaubn5W08WU5Gy7VOTula0TVXtLCMjUy5xrGi2xvpq5ylTpmDDhg2YP38+wsPDMWnSpGonw1FUVET//v3Rv39/LFy4EFOmTMGiRYswceJEFBQUQE9Pr8Jnhkr3elZ0rrq4uEAsFuPQoUOwt7fHmTNnsGrVqgpjUFJSqjLGmsQREBCAcePG4dChQzhy5AgWLVqEPXv2YPjw4eX2qem1oqL3pTZfaNVWSQJjbGwsPI+2detWiSQPgMSXUm5ubvD09MS6devwww8/wNraWkhyCgoKICsri5SUFIl9AEhlApSaXJdKX5OA6utbWbm1+bwsWLAA3t7ewuv8/HwmYURE76lG6wHT0tKCs7MzNmzYgGfPnpVbXzKNeEpKCoqLixEaGopu3brB3Nwcd+7cqdOx1dXVoa+vX25a66SkJLRr165OZZdV3/GvWbMGMjIywm/62NnZ4bfffoOxsTFMTU0l/krfgF64cEGinF9//RVmZmaQlZXFjRs38PDhQyxbtgwfffQRLCwsavzNrby8fL3NhmhnZ4fMzMxy9TA1Na2wh6KyeABUG5OlpWWF77+5uXm5G6uqjBs3DsePH8eVK1fKrSssLMSzZ8+EiQNKH6+wsBAXL16s9/OtJrS1tfH06VOJz11qamqdy63sXPjss8/wv//9D2vXrsX169clhm3VVLt27YR47ezscPfuXcjJyZU7T5o3b15lOYqKihgxYgSioqKwe/dutG3bFnZ2dhVuq6amBmNj40qnpa9pHObm5vjyyy9x7NgxjBgxotwzcSXq41qhoaEBPT09ic/769evkZKSUqtySrx48QJbtmxBr169oK2tDR0dHejr6+OPP/4oV+eSL4WANxOb/Pvvv4iLi8MPP/wg8Yydra0tioqKcP/+/XJlVDZEr7LPa9nPT+nJm0peW1pavlXdAdS4vtWpyXVSQUEB6urqEn9ERPR+atRp6Dds2IAePXqgS5cuCAoKgo2NDV6/fo34+HiEhYUhIyMDpqamKCwsxLp16+Di4oKkpCRs2rSpzseeO3cuFi1ahDZt2qBjx44IDw9HamqqMGymvtQl/qdPn+Lu3bsoLCzErVu3sGvXLmzbtg1Lly4VJgLw8PDA1q1b4erqCj8/P2hpaeHmzZvYs2cPtm3bJiQTubm58Pb2xhdffIHLly9j3bp1wqx/hoaGkJeXx7p16zB9+nRcu3ZN4vedqmJsbIxbt24hNTUVrVq1gpqamvA8TG35+/tjyJAhMDQ0xKhRoyAjI4O0tDRcu3YNixcvrlEZRkZGEIlEOHjwIAYPHgwlJaUKv1X38fGBvb09goOD8emnn+L8+fNYv359rZ/LmzNnDg4dOoR+/fohODgYPXv2hJqaGi5duoTly5dj+/bt6NixI2bMmIG5c+dCS0sLhoaGWLFiBZ4/f47JkyfX6nj1oWvXrlBWVsZXX30FT09PXLhwocpJZGrK2NgYp0+fxtixY6GgoCAkIU2bNsWIESMwd+5cDBgwAK1ataq0jIcPH2L06NH4/PPPYWNjI7TlihUrMHToUACAk5MTHBwcMGzYMKxYsUJIVA4dOoThw4dXO9zOzc0NQ4YMwW+//YbPPvusym0DAgIwffp0tGjRAoMGDcLTp0+RlJSE2bNnVxuHlZUV5s6di1GjRqF169b4888/cfHiRYwcObLCY9XXtc7LywvLli2DmZkZLCwssHLlyhr/Lt79+/fx77//4unTp0hJScGKFSvw999/S0xCExgYCE9PT2hoaGDgwIF4+fIlLl26hH/++UfowVFRUcGwYcOwcOFCZGRkCM9sAm8SUjc3N7i7uyM0NBS2trZ48OABEhISYGNjIzxHVdrcuXMxZswY2NrawsnJCb/88gv2799f7lnCH3/8EZ07d0bPnj0RFRWF5ORkbN++vdZtWFpN6ludkt7DhIQE4fcCG3r0BhERvbsadRp6ExMTXL58GY6OjvDx8UH79u3Rv39/JCQkICwsDMCbCQZWrlyJ5cuXo3379oiKisLSpUvrfGxPT094e3vDx8cH1tbWiIuLQ2xsbLUPyddWXeL39/eHnp4eTE1NMX78eDx58gQJCQkSEzCU9OQVFRVhwIABsLa2xpw5c6CpqSnRa+Tu7o4XL16gS5cu8PDwgJeXlzBZgba2NiIiIvDjjz+iXbt2WLZsGUJCQmoU48iRIzFw4EA4OjpCW1sbu3fvrkXrSHJ2dsbBgwdx7Ngx2Nvbo1u3bli1ahWMjIxqXEbLli2FyTx0dHQkZlkszc7ODvv27cOePXvQvn17+Pv7IygoqMpp6yuioKCA+Ph4+Pn5YfPmzejWrRvs7e2xdu1aeHp6Cr8htmzZMowcORLjx4+HnZ0dbt68iaNHj6Jp06a1Ol590NLSwq5du3D48GFYW1tj9+7d9TItdlBQEHJyctCmTZtyz16VDKMrPdlLRVRVVdG1a1esWrUKvXr1Qvv27bFw4UJMnToV69evB/BmeNfhw4fRq1cvTJo0SZgy/X//+5/wTE9V+vbtCy0tLWRmZmLcuHFVbjthwgSsXr0aGzduhJWVFYYMGSLM1FddHLKysnj48CHc3d1hbm6OMWPGYNCgQQgMDKzwWPV1rfPx8cH48eMxYcIEODg4QE1NrcIhjxVp27Yt9PX10alTJyxbtgxOTk64du2aRE/TlClTsG3bNoSHh8Pa2hq9e/dGREREuR4hNzc3pKWl4aOPPoKhoaHEuvDwcLi7u8PHxwdt27bFsGHDcPHixXLblRg2bBjWrFmDkJAQWFlZYfPmzQgPDy83AU5gYCD27NkDGxsbfP/999i9e3ede5lrWt+qdO/eHdOnT8enn34KbW1trFixok4xERHRf5tI3JAPD9A7oU+fPujYsaPEb5MRSdPOnTvx5Zdf4s6dOzX6QWSi2hKJRDhw4IAwPPu/Lj8//81kHHP2QUah4XrLchSr/hKCpCNjj77wb8sbGeXWl5wPT5484fBUovdAow5BJKL32/Pnz5GXl4dly5bhiy++YPJFREREH7xGHYJIRO+3FStWwMLCArq6uliwYEFjh0NERETU6DgEkYiI6B3DIYgfFg5BJPqwsAeMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikhL+DhgREdE7hr/7RKXxfCB6v7AHjIiIiIiISEqYgBEREREREUkJEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZQwASMiIiIiIpISJmBERERERERSwgSMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikhImYERERERERFLCBIyIiIiIiEhKmIARERERERFJCRMwIiIiIiIiKWECRkREREREJCVMwIiIiIiIiKSECRgREREREZGUMAEjIiIiIiKSEiZgREREREREUsIEjIiIiIiISEqYgBEREREREUkJEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZQwASMiIiIiIpISucYOgIiIiCrWftFRyCgoN+gxchTHVbjcurVhgx63oexb+rqxQ6gTyxsZjR0CETUw9oARERERERFJCRMwIiIiIiIiKWECRkREREREJCVMwIiIiIiIiKSECRgREREREZGUMAEjIiIiIiKSEiZgREREREREUsIEjIiIiIiISEqYgBEREREREUkJEzAiahQRERHQ1NQUXgcEBKBjx44S2wQEBEBHRwcikQgxMTENGo+xsTFWr17doMcAKq4nvf9OnjwJkUiEx48fN3YoRETUyJiAEVGt3b17F7Nnz4aJiQkUFBRgYGAAFxcXJCQkvHWZvr6+EvtnZGQgMDAQmzdvRl5eHgYNGlQfoVfq4sWLmDZtWr2UtXTpUsjKyuK7774rt65sPWsqIiICIpEIIpEIMjIy0NPTw6efforc3Nz6CPm9UrqtRCIRVFVV0alTJ+zfv7+xQyMiImICRkS1k5OTg06dOuHEiRP47rvvkJ6ejri4ODg6OsLDw+Oty1VVVUWzZs2E19nZ2QCAoUOHQldXFwoKCm9VbmFhYY2209bWhrKy8lsdo6wdO3bAz88PO3bsKLeubD3LevXqVaXr1NXVkZeXh7/++gvR0dHIzMzE6NGj6yXmhlJVfRpSSVvl5eXhypUrcHZ2xpgxY5CZmdmgx22s+hIR0X8HEzAiqpWZM2dCJBIhOTkZI0eOhLm5OaysrODt7Y1ff/1V2G7lypWwtraGiooKDAwMMHPmTBQUFFRabumheQEBAXBxcQEAyMjIQCQSAQCKi4sRFBSEVq1aQUFBAR07dkRcXJxQRk5ODkQiEfbu3YvevXtDUVERUVFRmDhxIoYNG4aQkBDo6emhWbNm8PDwkEjOyg5BrG38JU6dOoUXL14gKCgI+fn5OHfuXKX1BCDEtmTJEujr66Nt27aVli0SiaCrqws9PT10794dkydPRnJyMvLz84Vtfv75Z9jZ2UFRUREmJiYIDAzE69evAQBisRgBAQEwNDSEgoIC9PX14enpKez7zz//wN3dHU2bNoWysjIGDRqErKysSmMHgNWrV8PY2Lja+vz5559wdXWFlpYWVFRU0LlzZ1y4cKFe4q6qrXR1dWFmZobFixdDRkYGV69erXF9Hz58CFdXV7Rs2RLKysqwtrbG7t27JY7Tp08fzJo1C3PmzEHz5s3h7OwMADh8+DDMzc2hpKQER0dH5OTkVBkvERF9OJiAEVGNPXr0CHFxcfDw8ICKikq59aWf6ZKRkcHatWvx22+/ITIyEidOnICfn1+NjuPr64vw8HAAEHoxAGDNmjUIDQ1FSEgIrl69CmdnZ3zyyScSN80AMH/+fHh5eSEjI0O4IU5MTER2djYSExMRGRmJiIgIREREVBrD28a/fft2uLq6okmTJnB1dcX27dur3SchIQGZmZmIj4/HwYMHq90eAO7fv48DBw5AVlYWsrKyAIAzZ87A3d0dXl5euH79OjZv3oyIiAgsWbIEABAdHY1Vq1Zh8+bNyMrKQkxMDKytrYUyJ06ciEuXLiE2Nhbnz5+HWCzG4MGDa9yLWFl9CgoK0Lt3b/z111+IjY1FWloa/Pz8UFxcXC9xV6eoqAiRkZEAADs7uxrX999//0WnTp1w6NAhXLt2DdOmTcP48eORnJwsUX5kZCTk5eWRlJSETZs24fbt2xgxYgRcXFyQmpqKKVOmYP78+bVqQyIien/JNXYARPTfcfPmTYjFYlhYWFS77Zw5c4R/GxsbY/HixZg+fTo2btxY7b6qqqpCMqerqyssDwkJwbx58zB27FgAwPLly5GYmIjVq1djw4YNEsceMWKERJlNmzbF+vXrISsrCwsLC3z88cdISEjA1KlT6y3+/Px8/PTTTzh//jwA4LPPPsNHH32ENWvWQFVVtdL9VFRUsG3bNsjLy1e6DQA8efIEqqqqEIvFeP78OQDA09NTSIYDAwMxf/58TJgwAQBgYmKC4OBg+Pn5YdGiRcjNzYWuri6cnJzQpEkTGBoaokuXLgCArKwsxMbGIikpCd27dwcAREVFwcDAADExMbUa6li2Plu2bMGDBw9w8eJFaGlpAQBMTU2F7esSd3VtBQAvXrxAkyZNsGXLFrRp06bG9W3ZsiV8fX2FMmfPno2jR49i3759Esc3MzPDihUrhNdfffUV2rRpg9DQUABA27ZtkZ6ejuXLl1ca78uXL/Hy5UvhdeleTSIier+wB4yIakwsFtd42+PHj6Nfv35o2bIl1NTUMH78eDx8+FBIHGorPz8fd+7cQY8ePSSW9+jRAxkZGRLLOnfuXG5/KysroacIAPT09HD//v16jX/37t1o06YNOnToAADo2LEjjIyMsHfv3irrZm1tXW3yBQBqampITU3FpUuXEBoaCjs7O6GXCADS0tIQFBQEVVVV4W/q1KnIy8vD8+fPMXr0aLx48QImJiaYOnUqDhw4IAzzy8jIgJycHLp27SqU16xZM7Rt27Zc+1anbH1SU1Nha2srJF9l1SXu6toqNTUVV65cwbfffovp06fjl19+qXF9i4qKEBwcDGtra2hpaUFVVRVHjx4tN/FJp06dJF5nZGRIlAsADg4OVca7dOlSaGhoCH8GBgZVbk9ERP9dTMCIqMbMzMwgEolw48aNKrfLycnBkCFDYGNjg+joaKSkpAg9VNKYpKCi4ZFNmjSReC0SiYQhcGW9bfzbt2/Hb7/9Bjk5OeHv+vXrFU7GUV28FZGRkYGpqSksLS3h7e2Nbt26YcaMGcL6goICBAYGColHamoq0tPTkZWVBUVFRRgYGCAzMxMbN26EkpISZs6ciV69etV4iKGMjEy5JLyifcvWR0lJqcpyGyLukrYyNTWFjY0NvL290adPnyp7ocr67rvvsGbNGsybNw+JiYlITU2Fs7NzuXOgpu9fVRYsWIAnT54If7dv365zmURE9G7iEEQiqjEtLS04Oztjw4YNEkPfSjx+/BiamppISUlBcXExQkNDISPz5nueffv21enY6urq0NfXR1JSEnr37i0sT0pKqnY4Wm29Tfzp6em4dOkSTp48KdHT8+jRI/Tp0wc3btyo0dDN2pg/fz7atGmDL7/8EnZ2drCzs0NmZqbE8L6ylJSU4OLiAhcXF3h4eMDCwgLp6emwtLTE69evceHCBWFI3sOHD5GZmYl27doBeDNT5N27dyEWi4WJUVJTU6uN08bGBtu2bcOjR48q7AWrS9yln+mqjqysLF68eAEANapvUlIShg4dis8++wzAm0lgfv/9d2F9ZSwtLREbGyuxrPQENRVRUFB465k+iYjov4UJGBHVyoYNG9CjRw906dIFQUFBsLGxwevXrxEfH4+wsDBkZGTA1NQUhYWFWLduHVxcXITJCepq7ty5WLRoEdq0aYOOHTsiPDwcqampiIqKqoea/b+3iX/79u3o0qULevXqVW6dvb09tm/fXuHvgtWFgYEBhg8fDn9/fxw8eBD+/v4YMmQIDA0NMWrUKMjIyCAtLQ3Xrl3D4sWLERERgaKiInTt2hXKysrYtWsXlJSUYGRkhGbNmmHo0KGYOnUqNm/eDDU1NcyfPx8tW7bE0KFDAbyZ8e/BgwdYsWIFRo0ahbi4OBw5cgTq6upVxunq6opvv/0Ww4YNw9KlS6Gnp4crV65AX18fDg4OdYq7MmKxGHfv3gXw5hmw+Ph4HD16FP7+/gDe9OZWV18zMzP89NNPOHfuHJo2bYqVK1fi3r171SZg06dPR2hoKObOnYspU6YgJSWlyglfiIjow8IhiERUKyYmJrh8+TIcHR3h4+OD9u3bo3///khISEBYWBgAoEOHDli5ciWWL1+O9u3bIyoqCkuXLq3zsT09PeHt7Q0fHx9YW1sjLi4OsbGxMDMzq3PZpdU2/levXmHXrl0YOXJkhetHjhyJ77//vtazCdbEl19+iUOHDiE5ORnOzs44ePAgjh07Bnt7e3Tr1g2rVq0SEhVNTU1s3boVPXr0gI2NDY4fP45ffvlF+F2y8PBwdOrUCUOGDIGDgwPEYjEOHz4sDN+0tLTExo0bsWHDBnTo0AHJyckSk1RURl5eHseOHUOLFi0wePBgWFtbY9myZcIzeXWNuyL5+fnQ09ODnp4eLC0tERoaiqCgIHz99dfCNtXV95tvvoGdnR2cnZ3Rp08f6OrqYtiwYdXW19DQENHR0YiJiUGHDh2wadMmfPvtt9XuR0REHwaRuDZP1RMREVGDy8/PfzMZx5x9kFGonx8Ir0yO4rgKl1u3NmzQ4zaUfUurnqDlXWd5o/ykNyXnw5MnT6rtcSaidx97wIiIiIiIiKSECRgREREREZGUMAEjIiIiIiKSEiZgREREREREUsIEjIiIiIiISEqYgBEREREREUkJEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZSIxGKxuLGDICIiov+Xn58PDQ0NPHnyBOrq6o0dDjUyng9E7xf2gBEREREREUkJEzAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBERERERkZQwASMiIiIiIpISJmBERERERERSwgSMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikhK5xg6AiIiIJInFYgBAfn5+I0dC74KS86DkvCCi/zYmYERERO+Yhw8fAgAMDAwaORJ6lzx9+hQaGhqNHQYR1RETMCIioneMlpYWACA3N/eDu+HOz8+HgYEBbt++DXV19cYOR6oqq7tYLMbTp0+hr6/fiNERUX1hAkZERPSOkZF584i2hobGB5eElFBXV2fdS/nQEnGi9xkn4SAiIiIiIpISJmBERERERERSwgSMiIjoHaOgoIBFixZBQUGhsUOROtb9w6w70YdEJOacpkRERERERFLBHjAiIiIiIiIpYQJGREREREQkJUzAiIiIiIiIpIQJGBER0Ttmw4YNMDY2hqKiIrp27Yrk5OTGDqleBQQEQCQSSfxZWFgI6//99194eHigWbNmUFVVxciRI3Hv3r1GjPjtnT59Gi4uLtDX14dIJEJMTIzEerFYDH9/f+jp6UFJSQlOTk7IysqS2ObRo0dwc3ODuro6NDU1MXnyZBQUFEixFkRUn5iAERERvUP27t0Lb29vLFq0CJcvX0aHDh3g7OyM+/fvN3Zo9crKygp5eXnC39mzZ4V1X375JX755Rf8+OOPOHXqFO7cuYMRI0Y0YrRv79mzZ+jQoQM2bNhQ4foVK1Zg7dq12LRpEy5cuAAVFRU4Ozvj33//FbZxc3PDb7/9hvj4eBw8eBCnT5/GtGnTpFUFIqpnnAWRiIjoHdK1a1fY29tj/fr1AIDi4mIYGBhg9uzZmD9/fiNHVz8CAgIQExOD1NTUcuuePHkCbW1t/PDDDxg1ahQA4MaNG7C0tMT58+fRrVs3KUdbf0QiEQ4cOIBhw4YBeNP7pa+vDx8fH/j6+gJ4U38dHR1ERERg7NixyMjIQLt27XDx4kV07twZABAXF4fBgwfjzz//hL6+fmNVh4jeEnvAiIiI3hGvXr1CSkoKnJychGUyMjJwcnLC+fPnGzGy+peVlQV9fX2YmJjAzc0Nubm5AICUlBQUFhZKtIGFhQUMDQ3fuza4desW7t69K1FXDQ0NdO3aVajr+fPnoampKSRfAODk5AQZGRlcuHBB6jETUd0xASMiInpH/P333ygqKoKOjo7Ech0dHdy9e7eRoqp/Xbt2RUREBOLi4hAWFoZbt27ho48+wtOnT3H37l3Iy8tDU1NTYp/3rQ0ACPWp6v2+e/cuWrRoIbFeTk4OWlpa7117EH0o5Bo7ACIiIvqwDBo0SPi3jY0NunbtCiMjI+zbtw9KSkqNGBkRUcNjDxgREdE7onnz5pCVlS0349+9e/egq6vbSFE1PE1NTZibm+PmzZvQ1dXFq1ev8PjxY4lt3sc2KKlPVe+3rq5uuQlYXr9+jUePHr137UH0oWACRkRE9I6Ql5dHp06dkJCQICwrLi5GQkICHBwcGjGyhlVQUIDs7Gzo6emhU6dOaNKkiUQbZGZmIjc3971rg9atW0NXV1eirvn5+bhw4YJQVwcHBzx+/BgpKSnCNidOnEBxcTG6du0q9ZiJqO44BJGIiOgd4u3tjQkTJqBz587o0qULVq9ejWfPnmHSpEmNHVq98fX1hYuLC4yMjHDnzh0sWrQIsrKycHV1hYaGBiZPngxvb29oaWlBXV0ds2fPhoODw39yBsSCggLcvHlTeH3r1i2kpqZCS0sLhoaGmDNnDhYvXgwzMzO0bt0aCxcuhL6+vjBToqWlJQYOHIipU6di06ZNKCwsxKxZszB27FjOgEj0H8UEjIiI6B3y6aef4sGDB/D398fdu3fRsWNHxMXFlZuo4b/szz//hKurKx4+fAhtbW307NkTv/76K7S1tQEAq1atgoyMDEaOHImXL1/C2dkZGzdubOSo386lS5fg6OgovPb29gYATJgwAREREfDz88OzZ88wbdo0PH78GD179kRcXBwUFRWFfaKiojBr1iz069dPaJe1a9dKvS5EVD/4O2BERERERERSwmfAiIiIiIiIpIQJGBERERERkZQwASMiIiIiIpISJmBERERERERSwgSMiIiIiIhISpiAERERERERSQkTMCIiIiIiIilhAkZERERERCQlTMCIiIhIKgICAqCjowORSISYmJjGDueDMXHiRAwbNkx43adPH8yZM6fR4iH60DEBIyKiD9bEiRMhEokgEokgLy8PU1NTBAUF4fXr140dWrX+a0lMRkYGAgMDsXnzZuTl5WHQoEFVbu/s7AxZWVlcvHhRShE2vJMnTwrnW+m/b775Rqpx7N+/H8HBwVI9JhH9P7nGDoCIiKgxDRw4EOHh4Xj58iUOHz4MDw8PNGnSBAsWLKh1WUVFRRCJRJCR4febZWVnZwMAhg4dCpFIVOW2ubm5OHfuHGbNmoUdO3bA3t5eGiFKTWZmJtTV1YXXqqqqUj2+lpaWVI9HRJL4PwQREX3QFBQUoKurCyMjI8yYMQNOTk6IjY0FALx8+RK+vr5o2bIlVFRU0LVrV5w8eVLYNyIiApqamoiNjUW7du2goKCA3NxcvHz5EvPmzYOBgQEUFBRgamqK7du3C/tdu3YNgwYNgqqqKnR0dDB+/Hj8/fffwvo+ffrA09MTfn5+0NLSgq6uLgICAoT1xsbGAIDhw4dDJBIJr7OzszF06FDo6OhAVVUV9vb2OH78uER98/Ly8PHHH0NJSQmtW7fGDz/8AGNjY6xevVrY5vHjx5gyZQq0tbWhrq6Ovn37Ii0trcp2TE9PR9++faGkpIRmzZph2rRpKCgoAPBm6KGLiwsAQEZGptoELDw8HEOGDMGMGTOwe/duvHjxQmL906dP4ebmBhUVFejp6WHVqlXlhtXV9L07evQoLC0toaqqioEDByIvL0/iWDt27ICVlRUUFBSgp6eHWbNmAQA+//xzDBkyRGLbwsJCtGjRQuK9rkiLFi2gq6sr/Kmqqgq9Y48fPxa2S01NhUgkQk5OTo1jLioqgre3NzQ1NdGsWTP4+flBLBZLHL9sWxkbG+Pbb7/F559/DjU1NRgaGmLLli0S+5w7dw4dO3aEoqIiOnfujJiYGIhEIqSmplZZVyIqjwkYERFRKUpKSnj16hUAYNasWTh//jz27NmDq1evYvTo0Rg4cCCysrKE7Z8/f47ly5dj27Zt+O2339CiRQu4u7tj9+7dWLt2LTIyMrB582ahl+Px48fo27cvbG1tcenSJcTFxeHevXsYM2aMRByRkZFQUVHBhQsXsGLFCgQFBSE+Ph4AhGF54eHhyMvLE14XFBRg8ODBSEhIwJUrVzBw4EC4uLggNzdXKNfd3R137tzByZMnER0djS1btuD+/fsSxx49ejTu37+PI0eOICUlBXZ2dujXrx8ePXpUYZs9e/YMzs7OaNq0KS5evIgff/wRx48fF5IVX19fhIeHA3iTAJZNckoTi8UIDw/HZ599BgsLC5iamuKnn36S2Mbb2xtJSUmIjY1FfHw8zpw5g8uXL0tsU9P3LiQkBDt37sTp06eRm5sLX19fYX1YWBg8PDwwbdo0pKenIzY2FqampgCAKVOmIC4uTqIuBw8exPPnz/Hpp59WWr+6qi7m0NBQREREYMeOHTh79iwePXqEAwcOVFtuaGgoOnfujCtXrmDmzJmYMWMGMjMzAQD5+flwcXGBtbU1Ll++jODgYMybN6/B6kj03hMTERF9oCZMmCAeOnSoWCwWi4uLi8Xx8fFiBQUFsa+vr/h///ufWFZWVvzXX39J7NOvXz/xggULxGKxWBweHi4GIE5NTRXWZ2ZmigGI4+PjKzxmcHCweMCAARLLbt++LQYgzszMFIvFYnHv3r3FPXv2lNjG3t5ePG/ePOE1APGBAweqraOVlZV43bp1YrFYLM7IyBADEF+8eFFYn5WVJQYgXrVqlVgsFovPnDkjVldXF//7778S5bRp00a8efPmCo+xZcsWcdOmTcUFBQXCskOHDollZGTEd+/eFYvFYvGBAwfENbntOHbsmFhbW1tcWFgoFovF4lWrVol79+4trM/Pzxc3adJE/OOPPwrLHj9+LFZWVhZ7eXmJxWJxrd67mzdvCus3bNgg1tHREV7r6+uLv/7660pjbdeunXj58uXCaxcXF/HEiRMr3T4xMVEMQKyioiLx9/fffwvr/vnnH2H7K1euiAGIb926VeOY9fT0xCtWrBBeFxYWilu1aiWc52Lxm/OrpK3EYrHYyMhI/Nlnnwmvi4uLxS1atBCHhYWJxWKxOCwsTNysWTPxixcvhG22bt0qBiC+cuVKpfUloorxGTAiIvqgHTx4EKqqqigsLERxcTHGjRuHgIAAnDx5EkVFRTA3N5fY/uXLl2jWrJnwWl5eHjY2NsLr1NRUyMrKonfv3hUeLy0tDYmJiRU+95OdnS0cr3SZAKCnp1eup6qsgoICBAQE4NChQ8jLy8Pr16/x4sULoQcsMzMTcnJysLOzE/YxNTVF06ZNJeIrKCiQqCMAvHjxQniOq6yMjAx06NABKioqwrIePXqguLgYmZmZ0NHRqTLu0nbs2IFPP/0UcnJvblFcXV0xd+5cZGdno02bNvjjjz9QWFiILl26CPtoaGigbdu2wuv09PQavXfKyspo06aN8Lp0G9+/fx937txBv379Ko11ypQp2LJlC/z8/HDv3j0cOXIEJ06cqLaOZ86cgZqamvC6dPtXp6qYnzx5gry8PHTt2lVYLycnh86dO5cbhlhW6fNNJBJBV1dXKDczMxM2NjZQVFQUtind/kRUO0zAiIjog+bo6IiwsDDIy8tDX19fuPEvKCiArKwsUlJSICsrK7FP6eRJSUlJ4pkmJSWlKo9XUFAAFxcXLF++vNw6PT094d9NmjSRWCcSiVBcXFxl2b6+voiPj0dISAhMTU2hpKSEUaNGCUMqa6KgoAB6enoSz0uV0NTUrHE5b6NkuFxhYSHCwsKE5UVFRdixYweWLFlSo3Jq+t5V1MYliUp17yPwZjjn/Pnzcf78eZw7dw6tW7fGRx99VO1+rVu3LteWJRO3lE6UCgsLy+1bVcx18TbnGxG9HSZgRET0QVNRURGe6ynN1tYWRUVFuH//fo1uqktYW1ujuLgYp06dgpOTU7n1dnZ2iI6OhrGxsZDsvY0mTZqgqKhIYllSUhImTpyI4cOHA3iTiJRM4AAAbdu2xevXr3HlyhV06tQJAHDz5k38888/EvHdvXsXcnJywuQe1bG0tERERASePXsm9IIlJSVBRkZGomeqOlFRUWjVqlW56fWPHTuG0NBQBAUFwcTEBE2aNMHFixdhaGgI4E3Pz++//45evXoBePv3rjQ1NTUYGxsjISEBjo6OFW7TrFkzDBs2DOHh4Th//jwmTZr0VscCAG1tbQBvnpEr6RGr7QQXGhoa0NPTw4ULF4S2eP36tfAc39tq27Ytdu3ahZcvX0JBQQEA3qufByCSNk7CQUREVAFzc3O4ubnB3d0d+/fvx61bt5CcnIylS5fi0KFDle5nbGyMCRMm4PPPP0dMTAxu3bqFkydPYt++fQAADw8PPHr0CK6urrh48SKys7Nx9OhRTJo0qVxCVZWS5ODu3btCAmVmZob9+/cjNTUVaWlpGDdunEQvhoWFBZycnDBt2jQkJyfjypUrmDZtmkQvnpOTExwcHDBs2DAcO3YMOTk5OHfuHL7++mtcunSpwljc3NygqKiICRMm4Nq1a0hMTMTs2bMxfvz4Wg0/3L59O0aNGoX27dtL/E2ePBl///034uLioKamhgkTJmDu3LlITEzEb7/9hsmTJ0vMrvi2711ZAQEBCA0Nxdq1a5GVlYXLly9j3bp1EttMmTIFkZGRyMjIwIQJE2pcdlmmpqYwMDBAQEAAsrKycOjQIYSGhta6HC8vLyxbtgwxMTG4ceMGZs6cKTGz4tsoOY+mTZuGjIwMHD16FCEhIQBQ7YyWRFQeEzAiIqJKhIeHw93dHT4+Pmjbti2GDRsm0fNSmbCwMIwaNQozZ86EhYUFpk6dimfPngEA9PX1kZSUhKKiIgwYMADW1taYM2cONDU1a/X7YaGhoYiPj4eBgQFsbW0BACtXrkTTpk3RvXt3uLi4wNnZuVzPx/fffw8dHR306tULw4cPx9SpU6GmpiY83yMSiXD48GH06tULkyZNgrm5OcaOHYv//e9/lSZTysrKOHr0KB49egR7e3uMGjUK/fr1w/r162tcn5SUFKSlpWHkyJHl1mloaKBfv37C9O4rV66Eg4MDhgwZAicnJ/To0QOWlpYSzyi97XtX2oQJE7B69Wps3LgRVlZWGDJkiMQsisCbhFVPTw/Ozs7Q19evcdllNWnSBLt378aNGzdgY2OD5cuXY/HixbUux8fHB+PHj8eECRPg4OAANTU1oUf0bamrq+OXX35BamoqOnbsiK+//hr+/v4AINHmRFQzInF9DBwmIiKi/6Q///wTBgYGOH78eJUTTrzLnj17hpYtWyI0NBSTJ0+W6rELCgrQsmVLhIeHY8SIEVI9dmOKiorCpEmT8OTJkxo9L0dE/4/PgBEREX1ATpw4gYKCAlhbWyMvLw9+fn4wNjYWnhn6L7hy5Qpu3LiBLl264MmTJwgKCgIADB06VGoxFBcX4++//0ZoaCg0NTXxySefSO3YjeH777+HiYkJWrZsibS0NMybNw9jxoxh8kX0FpiAERERfUAKCwvx1Vdf4Y8//oCamhq6d++OqKiocrPgvetCQkKQmZkJeXl5dOrUCWfOnEHz5s2ldvzc3Fy0bt0arVq1QkRERJ0mVPkvuHv3Lvz9/XH37l3o6elh9OjRNZ6VkogkcQgiERERERGRlHASDiIiIiIiIilhAkZERERERCQlTMCIiIiIiIikhAkYERERERGRlDABIyIiIiIikhImYERERERERFLCBIyIiIiIiEhKmIARERERERFJCRMwIiIiIiIiKfk/l7jsIYbywkQAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Average Project Size (Millions $) by Environmental Burden Category:\n", + "CES_category High Burden (50-75%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.01 \n", + "California Department of Community Services and... 0.03 \n", + "California Department of Resources Recycling an... 0.01 \n", + "California Department of Water Resources 0.01 \n", + "California Energy Commission 0.07 \n", + "California Strategic Growth Council 0.00 \n", + "\n", + "CES_category Highest Burden (75-100%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.01 \n", + "California Department of Community Services and... 0.02 \n", + "California Department of Resources Recycling an... 0.01 \n", + "California Department of Water Resources 0.01 \n", + "California Energy Commission 0.07 \n", + "California Strategic Growth Council 0.01 \n", + "\n", + "CES_category Low Burden (0-25%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.01 \n", + "California Department of Community Services and... 0.07 \n", + "California Department of Resources Recycling an... 0.01 \n", + "California Department of Water Resources 0.00 \n", + "California Energy Commission 0.07 \n", + "California Strategic Growth Council 0.85 \n", + "\n", + "CES_category Moderate Burden (25-50%) \n", + "Agency Name \n", + "California Air Resources Board 0.01 \n", + "California Department of Community Services and... 0.03 \n", + "California Department of Resources Recycling an... 0.01 \n", + "California Department of Water Resources 0.00 \n", + "California Energy Commission NaN \n", + "California Strategic Growth Council 1.93 \n" + ] + } + ], + "source": [ + "# Analyze agency performance across CES score categories\n", + "merged_agency_ces = merged_data.groupby(['Agency Name', 'CES_category']).agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum', 'mean'],\n", + " 'Total Project GHGReductions': 'sum',\n", + " 'Is Benefit Disadvantaged Communities': 'mean'\n", + "}).round(3)\n", + "\n", + "# Calculate percentage of agency funding going to each CES category\n", + "agency_funding = pd.pivot_table(\n", + " merged_data,\n", + " values='Total Program GGRFFunding',\n", + " index='Agency Name',\n", + " columns='CES_category',\n", + " aggfunc='sum'\n", + ").fillna(0)\n", + "\n", + "# Calculate percentages\n", + "agency_funding_pct = agency_funding.div(agency_funding.sum(axis=1), axis=0) * 100\n", + "\n", + "print(\"Percentage of Agency Funding by Environmental Burden Category:\")\n", + "print(agency_funding_pct.round(2))\n", + "\n", + "# Visualize distribution patterns\n", + "plt.figure(figsize=(15, 8))\n", + "agency_funding_pct.plot(kind='barh', stacked=True)\n", + "plt.title('Distribution of Agency Funding Across Environmental Burden Categories')\n", + "plt.xlabel('Percentage of Agency Funding')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Look at average project size by burden category for each agency\n", + "avg_project_size = merged_data.groupby(['Agency Name', 'CES_category'])['Total Program GGRFFunding'].mean()/1e6\n", + "avg_project_size = avg_project_size.unstack()\n", + "print(\"\\nAverage Project Size (Millions $) by Environmental Burden Category:\")\n", + "print(avg_project_size.round(2))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This data reveals fascinating patterns in how different agencies serve communities with varying environmental burdens:\n", + "\n", + "1. **Strong Environmental Justice Focus**\n", + "- Community Services: 78% of funding to highest burden areas\n", + "- Energy Commission: 79% to highest burden areas\n", + "- Water Resources: 51% to highest burden areas\n", + "- CalRecycle: 41% to highest burden areas\n", + "\n", + "2. **More Dispersed Distribution**\n", + "- CARB shows relatively even distribution:\n", + " * 37.6% Moderate burden\n", + " * 36.7% Low burden\n", + " * 20.8% High burden\n", + " * Only 4.9% to highest burden areas\n", + "\n", + "3. **Unique Strategic Growth Council Pattern**\n", + "- Heavy focus on moderate burden areas (78.7%)\n", + "- Limited focus on highest burden areas (16.4%)\n", + "- Largest average project sizes:\n", + " * $1.93M in moderate burden areas\n", + " * $0.85M in low burden areas\n", + " * Much smaller in high burden areas\n", + "\n", + "4. **Project Size Variations**\n", + "- Most agencies maintain consistent project sizes across burden categories\n", + "- Notable exceptions:\n", + " * Strategic Growth Council: Much larger projects in moderate burden areas\n", + " * Community Services: Larger projects in low burden areas\n", + "\n", + "This suggests:\n", + "1. Different agency missions lead to different environmental justice approaches\n", + "2. Some agencies specifically target high-burden areas\n", + "3. Project size might be influenced by community capacity\n", + "4. Need for better coordination in highest burden areas\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Outcome Analysis by Environmental Burden Category:\n", + "\n", + "GHG Efficiency (Reductions per Dollar):\n", + "CES_category High Burden (50-75%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0092 \n", + "California Department of Community Services and... 0.0034 \n", + "California Department of Resources Recycling an... 0.0023 \n", + "California Department of Water Resources 0.0106 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0021 \n", + "\n", + "CES_category Highest Burden (75-100%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0084 \n", + "California Department of Community Services and... 0.0037 \n", + "California Department of Resources Recycling an... 0.0026 \n", + "California Department of Water Resources 0.0088 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0022 \n", + "\n", + "CES_category Low Burden (0-25%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0163 \n", + "California Department of Community Services and... 0.0034 \n", + "California Department of Resources Recycling an... 0.0013 \n", + "California Department of Water Resources 0.0122 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0918 \n", + "\n", + "CES_category Moderate Burden (25-50%) \n", + "Agency Name \n", + "California Air Resources Board 0.0114 \n", + "California Department of Community Services and... 0.0038 \n", + "California Department of Resources Recycling an... 0.0017 \n", + "California Department of Water Resources 0.0148 \n", + "California Energy Commission NaN \n", + "California Strategic Growth Council 0.0943 \n", + "\n", + "DAC Benefit Rate:\n", + "CES_category High Burden (50-75%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0000 \n", + "California Department of Community Services and... 0.8851 \n", + "California Department of Resources Recycling an... 0.0000 \n", + "California Department of Water Resources 0.4012 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0000 \n", + "\n", + "CES_category Highest Burden (75-100%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0000 \n", + "California Department of Community Services and... 0.9344 \n", + "California Department of Resources Recycling an... 0.0000 \n", + "California Department of Water Resources 0.8456 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0000 \n", + "\n", + "CES_category Low Burden (0-25%) \\\n", + "Agency Name \n", + "California Air Resources Board 0.0000 \n", + "California Department of Community Services and... 0.1429 \n", + "California Department of Resources Recycling an... 0.0000 \n", + "California Department of Water Resources 0.0147 \n", + "California Energy Commission 0.0000 \n", + "California Strategic Growth Council 0.0000 \n", + "\n", + "CES_category Moderate Burden (25-50%) \n", + "Agency Name \n", + "California Air Resources Board 0.0000 \n", + "California Department of Community Services and... 0.4835 \n", + "California Department of Resources Recycling an... 0.0000 \n", + "California Department of Water Resources 0.0565 \n", + "California Energy Commission NaN \n", + "California Strategic Growth Council 0.0000 \n" + ] + } + ], + "source": [ + "# Analyze outcomes (GHG and equity) across environmental burden categories by agency\n", + "outcome_analysis = merged_data.groupby(['Agency Name', 'CES_category']).agg({\n", + " 'Total Program GGRFFunding': ['count', 'sum'],\n", + " 'Total Project GHGReductions': ['sum', 'mean'],\n", + " 'Is Benefit Disadvantaged Communities': 'mean'\n", + "}).round(3)\n", + "\n", + "# Calculate GHG efficiency\n", + "outcome_analysis['ghg_per_dollar'] = (\n", + " outcome_analysis[('Total Project GHGReductions', 'sum')] / \n", + " outcome_analysis[('Total Program GGRFFunding', 'sum')]\n", + ")\n", + "\n", + "# Create visualization\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(20, 15))\n", + "\n", + "# 1. Total GHG Reductions by Burden Category for each Agency\n", + "ghg_by_burden = pd.pivot_table(\n", + " merged_data,\n", + " values='Total Project GHGReductions',\n", + " index='Agency Name',\n", + " columns='CES_category',\n", + " aggfunc='sum'\n", + ")\n", + "\n", + "ghg_by_burden.plot(kind='barh', ax=ax1)\n", + "ax1.set_title('Total GHG Reductions by Environmental Burden Category')\n", + "ax1.set_xlabel('GHG Reductions')\n", + "\n", + "# 2. GHG Efficiency by Burden Category\n", + "efficiency_by_burden = outcome_analysis['ghg_per_dollar'].unstack()\n", + "efficiency_by_burden.plot(kind='barh', ax=ax2)\n", + "ax2.set_title('GHG Reduction Efficiency by Environmental Burden Category')\n", + "ax2.set_xlabel('GHG Reductions per Dollar')\n", + "\n", + "# 3. DAC Benefit Rate by Burden Category\n", + "dac_by_burden = pd.pivot_table(\n", + " merged_data,\n", + " values='Is Benefit Disadvantaged Communities',\n", + " index='Agency Name',\n", + " columns='CES_category',\n", + " aggfunc='mean'\n", + ")\n", + "dac_by_burden.plot(kind='barh', ax=ax3)\n", + "ax3.set_title('DAC Benefit Rate by Environmental Burden Category')\n", + "ax3.set_xlabel('Proportion Benefiting DACs')\n", + "\n", + "# 4. Average Project Size\n", + "size_by_burden = pd.pivot_table(\n", + " merged_data,\n", + " values='Total Program GGRFFunding',\n", + " index='Agency Name',\n", + " columns='CES_category',\n", + " aggfunc='mean'\n", + ")/1e6 # Convert to millions\n", + "size_by_burden.plot(kind='barh', ax=ax4)\n", + "ax4.set_title('Average Project Size by Environmental Burden Category')\n", + "ax4.set_xlabel('Average Project Size (Millions $)')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print summary statistics\n", + "print(\"\\nOutcome Analysis by Environmental Burden Category:\")\n", + "print(\"\\nGHG Efficiency (Reductions per Dollar):\")\n", + "print(efficiency_by_burden.round(4))\n", + "\n", + "print(\"\\nDAC Benefit Rate:\")\n", + "print(dac_by_burden.round(4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "1. **GHG Efficiency Paradox**\n", + "- Highest efficiency in lower burden areas:\n", + " * Strategic Growth Council: 0.0918 (low burden) vs 0.0022 (highest burden)\n", + " * CARB: 0.0163 (low burden) vs 0.0084 (highest burden)\n", + " * Water Resources: 0.0122 (low burden) vs 0.0088 (highest burden)\n", + "- Suggests potential infrastructure or implementation challenges in high-burden areas\n", + "\n", + "2. **DAC Benefit Distribution**\n", + "- Strong targeting by some agencies:\n", + " * Community Services: 93% DAC benefit in highest burden areas\n", + " * Water Resources: 85% DAC benefit in highest burden areas\n", + "- Others show no DAC benefits across categories:\n", + " * CARB\n", + " * Energy Commission\n", + " * Strategic Growth Council\n", + "\n", + "3. **Efficiency-Equity Trade-off**\n", + "- Clear inverse relationship between GHG efficiency and DAC benefits\n", + "- Community Services shows high DAC benefits but lower GHG efficiency\n", + "- Strategic Growth Council achieves high GHG efficiency but low DAC benefits\n", + "\n", + "4. **Agency Performance Patterns**\n", + "- Community Services most consistent in DAC benefits across burden levels\n", + "- Water Resources shows good balance between efficiency and equity\n", + "- Strategic Growth Council most efficient but least equitable\n", + "\n", + "Key Policy Implications:\n", + "1. Need for targeted capacity building in high-burden areas\n", + "2. Potential for program design improvements to balance outcomes\n", + "3. Opportunity for cross-agency learning on successful approaches\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": {