diff --git a/CatchmentAttributes_nhdplus.ipynb b/CatchmentAttributes_nhdplus.ipynb
index b2475b7..705f27f 100644
--- a/CatchmentAttributes_nhdplus.ipynb
+++ b/CatchmentAttributes_nhdplus.ipynb
@@ -154,7 +154,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/home/whitelightning450/mambaforge/envs/hyriver/lib/python3.10/site-packages/dataretrieval/nwis.py:692: UserWarning: WARNING: Starting in March 2024, the NWIS qw data endpoint is retiring and no longer receives updates. For more information, refer to https://waterdata.usgs.gov.nwis/qwdata and https://doi-usgs.github.io/dataRetrieval/articles/Status.html or email CompTools@usgs.gov.\n",
+ "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/dataretrieval/nwis.py:692: UserWarning: WARNING: Starting in March 2024, the NWIS qw data endpoint is retiring and no longer receives updates. For more information, refer to https://waterdata.usgs.gov.nwis/qwdata and https://doi-usgs.github.io/dataRetrieval/articles/Status.html or email CompTools@usgs.gov.\n",
" warnings.warn(\n"
]
}
@@ -440,7 +440,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_304225/3686794627.py:4: UserWarning: 1 of 365 requests failed.. IDs of the failed requests are ['17077353']\n",
+ "/scratch/local/u0972368/981718/ipykernel_3936694/3686794627.py:4: UserWarning: 1 of 365 requests failed.. IDs of the failed requests are ['17077353']\n",
" catchments = wd_cat.byid(\"featureid\", comids) # Get the catchments for the comids of the flowlines of the tributaries of the station\n"
]
}
diff --git a/EE_Exercise.ipynb b/EE_Exercise.ipynb
new file mode 100644
index 0000000..51e3f25
--- /dev/null
+++ b/EE_Exercise.ipynb
@@ -0,0 +1,685 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ed65cc92",
+ "metadata": {},
+ "source": [
+ "Imports"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "6c7e2e87",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/google/api_core/_python_version_support.py:275: FutureWarning: You are using a Python version (3.10.20) which Google will stop supporting in new releases of google.api_core once it reaches its end of life (2026-10-04). Please upgrade to the latest Python version, or at least Python 3.11, to continue receiving updates for google.api_core past that date.\n",
+ " warnings.warn(message, FutureWarning)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import os\n",
+ "import time\n",
+ "import requests\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import ee\n",
+ "\n",
+ "from pynhd import NLDI\n",
+ "from supporting_scripts import getData, dataprocessing, SNOTEL_Analyzer, mapping"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c6412ef6",
+ "metadata": {},
+ "source": [
+ "Setup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "79617e36",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "nldi = NLDI()\n",
+ "\n",
+ "usgs_gage_id = \"09330000\" # Fremont River near Bicknell, UT\n",
+ "WY = 2019\n",
+ "\n",
+ "StartDate = f\"{WY-1}-10-01\"\n",
+ "EndDate = f\"{WY}-09-30\"\n",
+ "\n",
+ "OutputFolder = \"files/SNOTEL\"\n",
+ "os.makedirs(OutputFolder, exist_ok=True)\n",
+ "os.makedirs(\"Figures\", exist_ok=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a73c3a6c",
+ "metadata": {},
+ "source": [
+ "EE Login"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "eef05df6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ee.Authenticate()\n",
+ "ee.Initialize()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6726f3fe",
+ "metadata": {},
+ "source": [
+ "Streamflow data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "6e1308ab",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/geopandas/geoseries.py:772: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
+ " val = getattr(super(), mtd)(*args, **kwargs)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Authenticating with Earth Engine...\n",
+ "Initializing Earth Engine...\n",
+ "Earth Engine initialized successfully.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " convective_fraction | \n",
+ " longwave_radiation | \n",
+ " potential_energy | \n",
+ " potential_evaporation | \n",
+ " pressure | \n",
+ " shortwave_radiation | \n",
+ " specific_humidity | \n",
+ " temperature | \n",
+ " total_precipitation | \n",
+ " wind_u | \n",
+ " wind_v | \n",
+ "
\n",
+ " \n",
+ " | Date | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 2018-10-01 | \n",
+ " 0.107919 | \n",
+ " 265.928666 | \n",
+ " 12.275103 | \n",
+ " 0.212778 | \n",
+ " 73997.583419 | \n",
+ " 196.268434 | \n",
+ " 0.005725 | \n",
+ " 11.922340 | \n",
+ " 0.089365 | \n",
+ " 0.913642 | \n",
+ " 4.007560 | \n",
+ "
\n",
+ " \n",
+ " | 2018-10-02 | \n",
+ " 0.029557 | \n",
+ " 304.154152 | \n",
+ " 13.961216 | \n",
+ " 0.104625 | \n",
+ " 73957.941048 | \n",
+ " 89.003282 | \n",
+ " 0.007564 | \n",
+ " 9.832566 | \n",
+ " 0.144091 | \n",
+ " -1.751890 | \n",
+ " 3.449391 | \n",
+ "
\n",
+ " \n",
+ " | 2018-10-03 | \n",
+ " 0.230969 | \n",
+ " 277.871537 | \n",
+ " 51.612060 | \n",
+ " 0.122942 | \n",
+ " 73882.076787 | \n",
+ " 167.323142 | \n",
+ " 0.007527 | \n",
+ " 9.150452 | \n",
+ " 0.112957 | \n",
+ " -0.844505 | \n",
+ " 2.330025 | \n",
+ "
\n",
+ " \n",
+ " | 2018-10-04 | \n",
+ " 0.316795 | \n",
+ " 279.622465 | \n",
+ " 67.608203 | \n",
+ " 0.177075 | \n",
+ " 73805.375300 | \n",
+ " 187.067744 | \n",
+ " 0.006030 | \n",
+ " 8.990522 | \n",
+ " 0.236266 | \n",
+ " 1.065523 | \n",
+ " 3.564316 | \n",
+ "
\n",
+ " \n",
+ " | 2018-10-05 | \n",
+ " 0.006660 | \n",
+ " 260.681259 | \n",
+ " 25.443709 | \n",
+ " 0.141444 | \n",
+ " 73801.376099 | \n",
+ " 176.036476 | \n",
+ " 0.005280 | \n",
+ " 5.840326 | \n",
+ " 0.005817 | \n",
+ " 2.237381 | \n",
+ " 0.429708 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " convective_fraction longwave_radiation potential_energy \\\n",
+ "Date \n",
+ "2018-10-01 0.107919 265.928666 12.275103 \n",
+ "2018-10-02 0.029557 304.154152 13.961216 \n",
+ "2018-10-03 0.230969 277.871537 51.612060 \n",
+ "2018-10-04 0.316795 279.622465 67.608203 \n",
+ "2018-10-05 0.006660 260.681259 25.443709 \n",
+ "\n",
+ " potential_evaporation pressure shortwave_radiation \\\n",
+ "Date \n",
+ "2018-10-01 0.212778 73997.583419 196.268434 \n",
+ "2018-10-02 0.104625 73957.941048 89.003282 \n",
+ "2018-10-03 0.122942 73882.076787 167.323142 \n",
+ "2018-10-04 0.177075 73805.375300 187.067744 \n",
+ "2018-10-05 0.141444 73801.376099 176.036476 \n",
+ "\n",
+ " specific_humidity temperature total_precipitation wind_u \\\n",
+ "Date \n",
+ "2018-10-01 0.005725 11.922340 0.089365 0.913642 \n",
+ "2018-10-02 0.007564 9.832566 0.144091 -1.751890 \n",
+ "2018-10-03 0.007527 9.150452 0.112957 -0.844505 \n",
+ "2018-10-04 0.006030 8.990522 0.236266 1.065523 \n",
+ "2018-10-05 0.005280 5.840326 0.005817 2.237381 \n",
+ "\n",
+ " wind_v \n",
+ "Date \n",
+ "2018-10-01 4.007560 \n",
+ "2018-10-02 3.449391 \n",
+ "2018-10-03 2.330025 \n",
+ "2018-10-04 3.564316 \n",
+ "2018-10-05 0.429708 "
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Get basin polygon from USGS gage\n",
+ "basin = NLDI().get_basins(usgs_gage_id)\n",
+ "geometry = basin.to_crs(\"EPSG:4326\").geometry[0]\n",
+ "basin_polygon_coords = list(geometry.exterior.coords)\n",
+ "\n",
+ "daily_NLDAS_df = getData.get_NLDAS_daily(\n",
+ " basin_polygon_coords,\n",
+ " begin_date=StartDate,\n",
+ " end_date=EndDate\n",
+ ")\n",
+ "\n",
+ "daily_NLDAS_df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5ec20463",
+ "metadata": {},
+ "source": [
+ "SNOTEL download helper"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "5e1e3675",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def download_snotel_csv(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries=5):\n",
+ " out_csv = f\"./{OutputFolder}/df_{SiteID}_{StateAbb}_SNTL.csv\"\n",
+ "\n",
+ " if os.path.exists(out_csv):\n",
+ " df = pd.read_csv(out_csv)\n",
+ " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
+ " return df.set_index(\"Date\")\n",
+ "\n",
+ " url = (\n",
+ " \"https://wcc.sc.egov.usda.gov/reportGenerator/view_csv/\"\n",
+ " f\"customSingleStationReport/daily/start_of_period/{SiteID}:{StateAbb}:SNTL\"\n",
+ " f\"%7Cid=%22%22%7Cname/{StartDate},{EndDate}/WTEQ::value\"\n",
+ " \"?fitToScreen=false\"\n",
+ " )\n",
+ "\n",
+ " for attempt in range(tries):\n",
+ " try:\n",
+ " r = requests.get(url, timeout=60)\n",
+ " r.raise_for_status()\n",
+ "\n",
+ " with open(out_csv, \"w\", encoding=\"utf-8\") as f:\n",
+ " f.write(r.text)\n",
+ "\n",
+ " df = pd.read_csv(out_csv)\n",
+ " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
+ " return df.set_index(\"Date\")\n",
+ "\n",
+ " except Exception as e:\n",
+ " if attempt == tries - 1:\n",
+ " raise\n",
+ " wait = 2 ** attempt\n",
+ " print(f\"SNOTEL download failed: {e}\")\n",
+ " print(f\"Retrying in {wait} seconds...\")\n",
+ " time.sleep(wait)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "25e42b8b",
+ "metadata": {},
+ "source": [
+ "Snowtel Data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "43a4d936",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n",
+ "Retrying in 1 seconds...\n",
+ "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n",
+ "Retrying in 2 seconds...\n",
+ "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n",
+ "Retrying in 4 seconds...\n",
+ "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n",
+ "Retrying in 8 seconds...\n"
+ ]
+ },
+ {
+ "ename": "ReadTimeout",
+ "evalue": "HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTimeoutError\u001b[0m Traceback (most recent call last)",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:464\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 464\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_conn\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:1093\u001b[0m, in \u001b[0;36mHTTPSConnectionPool._validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 1092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mis_closed:\n\u001b[0;32m-> 1093\u001b[0m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1095\u001b[0m \u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\u001b[39;00m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connection.py:796\u001b[0m, in \u001b[0;36mHTTPSConnection.connect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 794\u001b[0m server_hostname_rm_dot \u001b[38;5;241m=\u001b[39m server_hostname\u001b[38;5;241m.\u001b[39mrstrip(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 796\u001b[0m sock_and_verified \u001b[38;5;241m=\u001b[39m \u001b[43m_ssl_wrap_socket_and_match_hostname\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mcert_reqs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcert_reqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_minimum_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_minimum_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 801\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_maximum_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_maximum_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_certs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mca_certs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 803\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mca_cert_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 804\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_data\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mca_cert_data\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 805\u001b[0m \u001b[43m \u001b[49m\u001b[43mcert_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcert_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 806\u001b[0m \u001b[43m \u001b[49m\u001b[43mkey_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkey_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 807\u001b[0m \u001b[43m \u001b[49m\u001b[43mkey_password\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkey_password\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 808\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname_rm_dot\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 809\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_context\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 810\u001b[0m \u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 811\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 812\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_fingerprint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_fingerprint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 813\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 814\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msock \u001b[38;5;241m=\u001b[39m sock_and_verified\u001b[38;5;241m.\u001b[39msocket\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connection.py:975\u001b[0m, in \u001b[0;36m_ssl_wrap_socket_and_match_hostname\u001b[0;34m(sock, cert_reqs, ssl_version, ssl_minimum_version, ssl_maximum_version, cert_file, key_file, key_password, ca_certs, ca_cert_dir, ca_cert_data, assert_hostname, assert_fingerprint, server_hostname, ssl_context, tls_in_tls)\u001b[0m\n\u001b[1;32m 973\u001b[0m server_hostname \u001b[38;5;241m=\u001b[39m normalized\n\u001b[0;32m--> 975\u001b[0m ssl_sock \u001b[38;5;241m=\u001b[39m \u001b[43mssl_wrap_socket\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 976\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 977\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeyfile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkey_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 978\u001b[0m \u001b[43m \u001b[49m\u001b[43mcertfile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcert_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 979\u001b[0m \u001b[43m \u001b[49m\u001b[43mkey_password\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkey_password\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 980\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_certs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_certs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 981\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_cert_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 982\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_data\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_cert_data\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 983\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 985\u001b[0m \u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 986\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 988\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/ssl_.py:483\u001b[0m, in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password, ca_cert_data, tls_in_tls)\u001b[0m\n\u001b[1;32m 481\u001b[0m context\u001b[38;5;241m.\u001b[39mset_alpn_protocols(ALPN_PROTOCOLS)\n\u001b[0;32m--> 483\u001b[0m ssl_sock \u001b[38;5;241m=\u001b[39m \u001b[43m_ssl_wrap_socket_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 484\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ssl_sock\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/ssl_.py:527\u001b[0m, in \u001b[0;36m_ssl_wrap_socket_impl\u001b[0;34m(sock, ssl_context, tls_in_tls, server_hostname)\u001b[0m\n\u001b[1;32m 525\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m SSLTransport(sock, ssl_context, server_hostname)\n\u001b[0;32m--> 527\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrap_socket\u001b[49m\u001b[43m(\u001b[49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:513\u001b[0m, in \u001b[0;36mSSLContext.wrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)\u001b[0m\n\u001b[1;32m 507\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mwrap_socket\u001b[39m(\u001b[38;5;28mself\u001b[39m, sock, server_side\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 508\u001b[0m do_handshake_on_connect\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 509\u001b[0m suppress_ragged_eofs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 510\u001b[0m server_hostname\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, session\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 511\u001b[0m \u001b[38;5;66;03m# SSLSocket class handles server_hostname encoding before it calls\u001b[39;00m\n\u001b[1;32m 512\u001b[0m \u001b[38;5;66;03m# ctx._wrap_socket()\u001b[39;00m\n\u001b[0;32m--> 513\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msslsocket_class\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_create\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 514\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 515\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_side\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_side\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 516\u001b[0m \u001b[43m \u001b[49m\u001b[43mdo_handshake_on_connect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdo_handshake_on_connect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 517\u001b[0m \u001b[43m \u001b[49m\u001b[43msuppress_ragged_eofs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msuppress_ragged_eofs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 518\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 519\u001b[0m \u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 520\u001b[0m \u001b[43m \u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\n\u001b[1;32m 521\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:1104\u001b[0m, in \u001b[0;36mSSLSocket._create\u001b[0;34m(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)\u001b[0m\n\u001b[1;32m 1103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdo_handshake_on_connect should not be specified for non-blocking sockets\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1104\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_handshake\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1105\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mOSError\u001b[39;00m, \u001b[38;5;167;01mValueError\u001b[39;00m):\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:1375\u001b[0m, in \u001b[0;36mSSLSocket.do_handshake\u001b[0;34m(self, block)\u001b[0m\n\u001b[1;32m 1374\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msettimeout(\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 1375\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_handshake\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1376\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
+ "\u001b[0;31mTimeoutError\u001b[0m: _ssl.c:1000: The handshake operation timed out",
+ "\nThe above exception was the direct cause of the following exception:\n",
+ "\u001b[0;31mReadTimeoutError\u001b[0m Traceback (most recent call last)",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/adapters.py:644\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 644\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 645\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 646\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 647\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 648\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 649\u001b[0m \u001b[43m \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 650\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 651\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 652\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 653\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 654\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 655\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 656\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 658\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:841\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 839\u001b[0m new_e \u001b[38;5;241m=\u001b[39m ProtocolError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mConnection aborted.\u001b[39m\u001b[38;5;124m\"\u001b[39m, new_e)\n\u001b[0;32m--> 841\u001b[0m retries \u001b[38;5;241m=\u001b[39m \u001b[43mretries\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mincrement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 842\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merror\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_e\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stacktrace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m 843\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 844\u001b[0m retries\u001b[38;5;241m.\u001b[39msleep()\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/retry.py:490\u001b[0m, in \u001b[0;36mRetry.increment\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 489\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m read \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_method_retryable(method):\n\u001b[0;32m--> 490\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[43mreraise\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43merror\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merror\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stacktrace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 491\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m read \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/util.py:39\u001b[0m, in \u001b[0;36mreraise\u001b[0;34m(tp, value, tb)\u001b[0m\n\u001b[1;32m 38\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m value\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[0;32m---> 39\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m value\n\u001b[1;32m 40\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:787\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 786\u001b[0m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[0;32m--> 787\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 788\u001b[0m \u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 789\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 790\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 791\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 792\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 793\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 794\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 795\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 796\u001b[0m \u001b[43m \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:488\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 487\u001b[0m new_e \u001b[38;5;241m=\u001b[39m _wrap_proxy_error(new_e, conn\u001b[38;5;241m.\u001b[39mproxy\u001b[38;5;241m.\u001b[39mscheme)\n\u001b[0;32m--> 488\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m new_e\n\u001b[1;32m 490\u001b[0m \u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\u001b[39;00m\n\u001b[1;32m 491\u001b[0m \u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\u001b[39;00m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:466\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 466\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_timeout\u001b[49m\u001b[43m(\u001b[49m\u001b[43merr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 467\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:367\u001b[0m, in \u001b[0;36mHTTPConnectionPool._raise_timeout\u001b[0;34m(self, err, url, timeout_value)\u001b[0m\n\u001b[1;32m 366\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(err, SocketTimeout):\n\u001b[0;32m--> 367\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ReadTimeoutError(\n\u001b[1;32m 368\u001b[0m \u001b[38;5;28mself\u001b[39m, url, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRead timed out. (read timeout=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtimeout_value\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 369\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 371\u001b[0m \u001b[38;5;66;03m# See the above comment about EAGAIN in Python 3.\u001b[39;00m\n",
+ "\u001b[0;31mReadTimeoutError\u001b[0m: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)",
+ "\nDuring handling of the above exception, another exception occurred:\n",
+ "\u001b[0;31mReadTimeout\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[6], line 41\u001b[0m\n\u001b[1;32m 38\u001b[0m SiteID \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m09330000\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 39\u001b[0m StateAbb \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUT\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 41\u001b[0m snotel_df \u001b[38;5;241m=\u001b[39m \u001b[43mdownload_snotel_csv\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 42\u001b[0m \u001b[43m \u001b[49m\u001b[43mSiteName\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSiteName\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[43m \u001b[49m\u001b[43mSiteID\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSiteID\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 44\u001b[0m \u001b[43m \u001b[49m\u001b[43mStateAbb\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStateAbb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 45\u001b[0m \u001b[43m \u001b[49m\u001b[43mStartDate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStartDate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 46\u001b[0m \u001b[43m \u001b[49m\u001b[43mEndDate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEndDate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 47\u001b[0m \u001b[43m \u001b[49m\u001b[43mOutputFolder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mOutputFolder\u001b[49m\n\u001b[1;32m 48\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m snotel_df\u001b[38;5;241m.\u001b[39mhead()\n",
+ "Cell \u001b[0;32mIn[6], line 19\u001b[0m, in \u001b[0;36mdownload_snotel_csv\u001b[0;34m(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries)\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m attempt \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(tries):\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 19\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43mrequests\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m300\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m r\u001b[38;5;241m.\u001b[39mraise_for_status()\n\u001b[1;32m 22\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(out_csv, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m, encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/api.py:73\u001b[0m, in \u001b[0;36mget\u001b[0;34m(url, params, **kwargs)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mget\u001b[39m(url, params\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 63\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Sends a GET request.\u001b[39;00m\n\u001b[1;32m 64\u001b[0m \n\u001b[1;32m 65\u001b[0m \u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[38;5;124;03m :rtype: requests.Response\u001b[39;00m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mget\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/api.py:59\u001b[0m, in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001b[39;00m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;66;03m# cases, and look like a memory leak in others.\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m sessions\u001b[38;5;241m.\u001b[39mSession() \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 584\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 585\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m: timeout,\n\u001b[1;32m 586\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m\"\u001b[39m: allow_redirects,\n\u001b[1;32m 587\u001b[0m }\n\u001b[1;32m 588\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 589\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 700\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m 702\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 705\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m 706\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n",
+ "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/adapters.py:690\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 688\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SSLError(e, request\u001b[38;5;241m=\u001b[39mrequest)\n\u001b[1;32m 689\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, ReadTimeoutError):\n\u001b[0;32m--> 690\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ReadTimeout(e, request\u001b[38;5;241m=\u001b[39mrequest)\n\u001b[1;32m 691\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, _InvalidHeader):\n\u001b[1;32m 692\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidHeader(e, request\u001b[38;5;241m=\u001b[39mrequest)\n",
+ "\u001b[0;31mReadTimeout\u001b[0m: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)"
+ ]
+ }
+ ],
+ "source": [
+ "def download_snotel_csv(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries=5):\n",
+ " os.makedirs(OutputFolder, exist_ok=True)\n",
+ " out_csv = f\"./{OutputFolder}/df_{SiteID}_{StateAbb}_SNTL.csv\"\n",
+ "\n",
+ " if os.path.exists(out_csv):\n",
+ " df = pd.read_csv(out_csv)\n",
+ " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
+ " return df.set_index(\"Date\")\n",
+ "\n",
+ " url = (\n",
+ " \"https://wcc.sc.egov.usda.gov/reportGenerator/view_csv/\"\n",
+ " f\"customSingleStationReport/daily/start_of_period/{SiteID}:{StateAbb}:SNTL\"\n",
+ " f\"%7Cid=%22%22%7Cname/{StartDate},{EndDate}/WTEQ::value\"\n",
+ " \"?fitToScreen=false\"\n",
+ " )\n",
+ "\n",
+ " for attempt in range(tries):\n",
+ " try:\n",
+ " r = requests.get(url, timeout=300)\n",
+ " r.raise_for_status()\n",
+ "\n",
+ " with open(out_csv, \"w\", encoding=\"utf-8\") as f:\n",
+ " f.write(r.text)\n",
+ "\n",
+ " df = pd.read_csv(out_csv)\n",
+ " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
+ " return df.set_index(\"Date\")\n",
+ "\n",
+ " except Exception as e:\n",
+ " if attempt == tries - 1:\n",
+ " raise\n",
+ " wait = 2 ** attempt\n",
+ " print(f\"SNOTEL download failed: {e}\")\n",
+ " print(f\"Retrying in {wait} seconds...\")\n",
+ " time.sleep(wait)\n",
+ "\n",
+ "SiteName = \"FREMONT RIVER NEAR BICKNELL\"\n",
+ "SiteID = \"09330000\"\n",
+ "StateAbb = \"UT\"\n",
+ "\n",
+ "snotel_df = download_snotel_csv(\n",
+ " SiteName=SiteName,\n",
+ " SiteID=SiteID,\n",
+ " StateAbb=StateAbb,\n",
+ " StartDate=StartDate,\n",
+ " EndDate=EndDate,\n",
+ " OutputFolder=OutputFolder\n",
+ ")\n",
+ "\n",
+ "snotel_df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8b80b636",
+ "metadata": {},
+ "source": [
+ "Landsat helper"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5b205118",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_landsat_ndsi_timeseries(basin_polygon_coords, begin_date, end_date):\n",
+ " basin = ee.Geometry.Polygon(basin_polygon_coords)\n",
+ "\n",
+ " col = (\n",
+ " ee.ImageCollection(\"LANDSAT/LC08/C02/T2_L2\")\n",
+ " .filterBounds(basin)\n",
+ " .filterDate(begin_date, end_date)\n",
+ " .sort(\"CLOUD_COVER\")\n",
+ " )\n",
+ "\n",
+ " n = col.size().getInfo()\n",
+ " img_list = col.toList(n)\n",
+ " records = []\n",
+ "\n",
+ " for i in range(n):\n",
+ " img = ee.Image(img_list.get(i))\n",
+ "\n",
+ " qa = img.select(\"QA_PIXEL\")\n",
+ " cloud_mask = (\n",
+ " qa.bitwiseAnd(1 << 1).eq(0)\n",
+ " .And(qa.bitwiseAnd(1 << 2).eq(0))\n",
+ " .And(qa.bitwiseAnd(1 << 3).eq(0))\n",
+ " .And(qa.bitwiseAnd(1 << 4).eq(0))\n",
+ " )\n",
+ "\n",
+ " green = img.select(\"SR_B3\").multiply(2.75e-05).add(-0.2)\n",
+ " swir1 = img.select(\"SR_B6\").multiply(2.75e-05).add(-0.2)\n",
+ "\n",
+ " ndsi = green.subtract(swir1).divide(green.add(swir1)).rename(\"NDSI\")\n",
+ " ndsi = ndsi.updateMask(cloud_mask)\n",
+ "\n",
+ " stat = ndsi.reduceRegion(\n",
+ " reducer=ee.Reducer.mean(),\n",
+ " geometry=basin,\n",
+ " scale=30,\n",
+ " maxPixels=1e9,\n",
+ " ).getInfo()\n",
+ "\n",
+ " if stat and stat.get(\"NDSI\") is not None:\n",
+ " records.append({\n",
+ " \"Date\": pd.to_datetime(img.date().format(\"YYYY-MM-dd\").getInfo()),\n",
+ " \"NDSI\": stat[\"NDSI\"],\n",
+ " })\n",
+ "\n",
+ " df = pd.DataFrame(records)\n",
+ " if not df.empty:\n",
+ " df = df.sort_values(\"Date\").set_index(\"Date\")\n",
+ " return df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "aac57f42",
+ "metadata": {},
+ "source": [
+ "Landsat"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "25abdb74",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "landsat_df = get_landsat_ndsi_timeseries(\n",
+ " basin_polygon_coords=basin_polygon_coords,\n",
+ " begin_date=StartDate,\n",
+ " end_date=EndDate\n",
+ ")\n",
+ "\n",
+ "landsat_df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0f5502c9",
+ "metadata": {},
+ "source": [
+ "Clean and Allign"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "795c4f2e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "stream = stream_df.copy()\n",
+ "snotel = snotel_df.copy()\n",
+ "landsat = landsat_df.copy()\n",
+ "\n",
+ "if \"Date\" in stream.columns:\n",
+ " stream[\"Date\"] = pd.to_datetime(stream[\"Date\"])\n",
+ " stream = stream.set_index(\"Date\")\n",
+ "else:\n",
+ " stream.index = pd.to_datetime(stream.index)\n",
+ "\n",
+ "if \"Date\" in snotel.columns:\n",
+ " snotel[\"Date\"] = pd.to_datetime(snotel[\"Date\"])\n",
+ " snotel = snotel.set_index(\"Date\")\n",
+ "else:\n",
+ " snotel.index = pd.to_datetime(snotel.index)\n",
+ "\n",
+ "landsat.index = pd.to_datetime(landsat.index)\n",
+ "\n",
+ "merged = pd.DataFrame(index=pd.date_range(StartDate, EndDate, freq=\"D\"))\n",
+ "\n",
+ "# streamflow\n",
+ "if \"flow_cfs\" in stream.columns:\n",
+ " merged[\"streamflow_cfs\"] = stream[\"flow_cfs\"]\n",
+ "else:\n",
+ " merged[\"streamflow_cfs\"] = stream.iloc[:, 0]\n",
+ "\n",
+ "# SNOTEL SWE\n",
+ "swe_col = \"Snow Water Equivalent (m) Start of Day Values\"\n",
+ "if swe_col in snotel.columns:\n",
+ " merged[\"snotel_swe_m\"] = snotel[swe_col]\n",
+ "else:\n",
+ " merged[\"snotel_swe_m\"] = snotel.iloc[:, 0]\n",
+ "\n",
+ "# Landsat NDSI\n",
+ "merged[\"landsat_ndsi\"] = landsat[\"NDSI\"]\n",
+ "\n",
+ "merged.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "667bd93a",
+ "metadata": {},
+ "source": [
+ "Plot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e7c34a86",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fig, axes = plt.subplots(3, 1, figsize=(13, 10), sharex=True)\n",
+ "\n",
+ "axes[0].plot(merged.index, merged[\"streamflow_cfs\"])\n",
+ "axes[0].set_ylabel(\"cfs\")\n",
+ "axes[0].set_title(\"USGS Streamflow\")\n",
+ "\n",
+ "axes[1].plot(merged.index, merged[\"snotel_swe_m\"])\n",
+ "axes[1].set_ylabel(\"m\")\n",
+ "axes[1].set_title(\"SNOTEL SWE\")\n",
+ "\n",
+ "axes[2].scatter(merged.index, merged[\"landsat_ndsi\"], s=18)\n",
+ "axes[2].set_ylabel(\"NDSI\")\n",
+ "axes[2].set_title(\"Landsat 8 NDSI\")\n",
+ "\n",
+ "axes[2].set_xlabel(\"Date\")\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c4542d65",
+ "metadata": {},
+ "source": [
+ "Save"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "61cf2db6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "merged.to_csv(\"Figures/watershed_stream_snotel_landsat.csv\")\n",
+ "fig.savefig(\"Figures/watershed_stream_snotel_landsat.png\", dpi=300, bbox_inches=\"tight\")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "hyriver",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.20"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/HydroDF.py b/HydroDF.py
new file mode 100644
index 0000000..22f1d69
--- /dev/null
+++ b/HydroDF.py
@@ -0,0 +1,150 @@
+import os
+import sys
+import datetime
+import warnings
+import numpy as np
+import pandas as pd
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+
+from dataretrieval import nwis
+warnings.filterwarnings("ignore")
+
+sys.path.append(os.path.abspath('supporting_scripts'))
+
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+
+# --- Station config ---
+station_id = "09330000"
+basinname = "FremontRiverBasin"
+water_year = 2019
+wy_start = f"{water_year - 1}-10-01"
+wy_end = f"{water_year}-09-30"
+
+os.makedirs('Figures', exist_ok=True)
+os.makedirs('files/NWIS', exist_ok=True)
+
+print(f"Station: {station_id} — Fremont River near Bicknell, UT")
+print(f"Water Year: {water_year} ({wy_start} to {wy_end})")
+
+# --- Load NLDAS ---
+NLDAS_df = pd.read_csv("files/NLDAS/NLDAS_09330000.csv")
+NLDAS_df['Date'] = pd.to_datetime(NLDAS_df['Date'])
+NLDAS_df.set_index('Date', inplace=True)
+NLDAS_df['prcp_mm_day'] = NLDAS_df['total_precipitation'] * 86400
+
+# --- Fetch or load streamflow ---
+streamflow_path = "files/NWIS/streamflow_09330000.csv"
+os.makedirs('files/NWIS', exist_ok=True)
+
+if os.path.exists(streamflow_path):
+ print("Loading cached streamflow...")
+ streamflow_df = pd.read_csv(streamflow_path)
+ streamflow_df['Date'] = pd.to_datetime(streamflow_df['Date'])
+ streamflow_df.set_index('Date', inplace=True)
+else:
+ print("Fetching streamflow from NWIS...")
+ raw, _ = nwis.get_dv(
+ sites=station_id,
+ start="2006-01-01",
+ end="2021-12-31",
+ parameterCd="00060"
+ )
+ raw.index = pd.to_datetime(raw.index).tz_localize(None)
+ raw.index.name = 'Date'
+ raw['flow_cms'] = raw['00060_Mean'] * 0.0283168
+ streamflow_df = raw[['flow_cms']].copy()
+ streamflow_df['site_no'] = station_id
+ streamflow_df.to_csv(streamflow_path)
+ print(f"Saved to {streamflow_path}")
+
+# --- Align date ranges and merge ---
+begin_date = max([NLDAS_df.index.min(), streamflow_df.index.min()])
+end_date = min([NLDAS_df.index.max(), streamflow_df.index.max()])
+
+NLDAS_df = NLDAS_df[(NLDAS_df.index >= begin_date) & (NLDAS_df.index <= end_date)]
+streamflow_df = streamflow_df[(streamflow_df.index >= begin_date) & (streamflow_df.index <= end_date)]
+
+Hydro_df = pd.concat([streamflow_df, NLDAS_df], axis=1)
+
+# --- Clip to water year ---
+wy_df = Hydro_df[(Hydro_df.index >= wy_start) & (Hydro_df.index <= wy_end)].copy()
+
+# Save Hydro_df
+os.makedirs('files/HydroDF', exist_ok=True)
+Hydro_df.to_csv(f"files/HydroDF/Hydro_df_{station_id}.csv")
+wy_df.to_csv(f"files/HydroDF/Hydro_df_{station_id}_WY{water_year}.csv")
+
+# --- Plot 1: Streamflow and SW Radiation ---
+fig, ax1 = plt.subplots(figsize=(13, 4))
+ax2 = ax1.twinx()
+ax1.plot(wy_df.index, wy_df['flow_cms'], color='steelblue', lw=1.5, label='Streamflow (cms)')
+ax2.plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod', lw=1.2,
+ linestyle='--', label='SW Radiation W/m² (NLDAS)')
+ax1.set_ylabel('Streamflow (m³/s)', color='steelblue')
+ax2.set_ylabel('SW Radiation (W/m²)', color='goldenrod')
+ax1.set_xlabel('Date')
+ax1.set_title(f'Streamflow and Solar Radiation — Fremont River WY{water_year}')
+lines1, labels1 = ax1.get_legend_handles_labels()
+lines2, labels2 = ax2.get_legend_handles_labels()
+ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')
+plt.tight_layout()
+plt.savefig(f'Figures/{basinname}_WY{water_year}_streamflow_radiation.png', dpi=150)
+#plt.show()
+
+# --- Plot 2: Snowmelt Drivers ---
+fig, axes = plt.subplots(2, 1, figsize=(13, 6), sharex=True)
+axes[0].plot(wy_df.index, wy_df['temperature'], color='tomato', lw=1.2, label='Temperature °C (NLDAS)')
+axes[0].axhline(0, color='k', lw=0.8, linestyle='--', alpha=0.5)
+axes[0].set_ylabel('Temperature (°C)')
+axes[0].set_title(f'Snowmelt Drivers — Fremont River WY{water_year}')
+axes[0].legend(loc='upper left')
+axes[1].plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod', lw=1.2,
+ label='SW Radiation W/m² (NLDAS)')
+axes[1].set_ylabel('SW Radiation (W/m²)')
+axes[1].set_xlabel('Date')
+axes[1].legend(loc='upper left')
+plt.tight_layout()
+plt.savefig(f'Figures/{basinname}_WY{water_year}_snowmelt_drivers.png', dpi=150)
+#plt.show()
+
+# --- Plot 3: Rainfall-Runoff ---
+fig, ax1 = plt.subplots(figsize=(13, 4))
+ax2 = ax1.twinx()
+ax2.bar(wy_df.index, wy_df['prcp_mm_day'], color='cornflowerblue',
+ alpha=0.5, label='Precip mm/day (NLDAS)', width=1)
+ax1.plot(wy_df.index, wy_df['flow_cms'], color='steelblue', lw=1.5, label='Streamflow (cms)')
+ax1.set_ylabel('Streamflow (m³/s)', color='steelblue')
+ax2.set_ylabel('Precipitation (mm/day)', color='cornflowerblue')
+ax2.invert_yaxis()
+ax1.set_xlabel('Date')
+ax1.set_title(f'Rainfall–Runoff Response — Fremont River WY{water_year}')
+lines1, labels1 = ax1.get_legend_handles_labels()
+lines2, labels2 = ax2.get_legend_handles_labels()
+ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')
+plt.tight_layout()
+plt.savefig(f'Figures/{basinname}_WY{water_year}_rainfall_runoff.png', dpi=150)
+#plt.show()
+
+# --- Plot 4: Shortwave vs Longwave Radiation ---
+fig, axes = plt.subplots(2, 1, figsize=(13, 7), sharex=True)
+axes[0].plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod',
+ lw=1.2, label='Shortwave radiation W/m²')
+axes[0].plot(wy_df.index, wy_df['longwave_radiation'], color='tomato',
+ lw=1.2, linestyle='--', label='Longwave radiation W/m²')
+axes[0].set_ylabel('Radiation (W/m²)')
+axes[0].set_title(f'Shortwave vs Longwave Radiation — Fremont River WY{water_year}')
+axes[0].legend(loc='upper right')
+axes[1].plot(wy_df.index, wy_df['temperature'], color='steelblue',
+ lw=1.2, label='NLDAS temperature (°C)')
+axes[1].plot(wy_df.index, wy_df['prcp_mm_day'], color='cornflowerblue',
+ lw=1.2, linestyle='--', label='NLDAS precip (mm/day)')
+axes[1].set_ylabel('Temp (°C) / Precip (mm/day)')
+axes[1].set_xlabel('Date')
+axes[1].legend(loc='upper right')
+plt.tight_layout()
+plt.savefig(f'Figures/{basinname}_WY{water_year}_radiation_comparison.png', dpi=150)
+#plt.show()
+
+print("Done")
\ No newline at end of file
diff --git a/HydroDF_Analysis.ipynb b/HydroDF_Analysis.ipynb
index 3c2bef7..0c0bd17 100644
--- a/HydroDF_Analysis.ipynb
+++ b/HydroDF_Analysis.ipynb
@@ -2901,21 +2901,654 @@
{
"cell_type": "markdown",
"metadata": {},
- "source": []
+ "source": [
+ "## Data Exploration Exercise #2\n",
+ "\n",
+ "Develop a Python script (.py) that you can run in the terminal that collects, processes, and saves your dataframes and a few select figures of interest."
+ ]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "execution_count": 13,
"metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Setup complete.\n",
+ "Station: 09330000 - Fremont River near Bicknell, UT\n",
+ "Water Year: 2019 (2018-10-01 to 2019-09-30)\n"
+ ]
+ }
+ ],
"source": [
- "## Data Exploration Exercise #2\n",
+ "import os\n",
+ "import sys\n",
+ "import datetime\n",
+ "import warnings\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "warnings.filterwarnings(\"ignore\")\n",
"\n",
- "Develop a Python script (.py) that you can run in the terminal that collects, processes, and saves your dataframes and a few select figures of interest."
+ "sys.path.append(os.path.abspath('supporting_scripts'))\n",
+ "\n",
+ "# Station config\n",
+ "station_id = \"09330000\"\n",
+ "basinname = \"FremontRiverBasin\"\n",
+ "water_year = 2019\n",
+ "wy_start = f\"{water_year - 1}-10-01\"\n",
+ "wy_end = f\"{water_year}-09-30\"\n",
+ "\n",
+ "os.makedirs('figures', exist_ok=True)\n",
+ "print(\"Setup complete.\")\n",
+ "print(f\"Station: {station_id} - Fremont River near Bicknell, UT\")\n",
+ "print(f\"Water Year: {water_year} ({wy_start} to {wy_end})\")"
]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "NLDAS: 2006-01-01 00:00:00 to 2021-12-31 00:00:00\n",
+ "Columns: ['convective_fraction', 'longwave_radiation', 'potential_energy', 'potential_evaporation', 'pressure', 'shortwave_radiation', 'specific_humidity', 'temperature', 'total_precipitation', 'wind_u', 'wind_v', 'prcp_mm_day']\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " convective_fraction | \n",
+ " longwave_radiation | \n",
+ " potential_energy | \n",
+ " potential_evaporation | \n",
+ " pressure | \n",
+ " shortwave_radiation | \n",
+ " specific_humidity | \n",
+ " temperature | \n",
+ " total_precipitation | \n",
+ " wind_u | \n",
+ " wind_v | \n",
+ " prcp_mm_day | \n",
+ "
\n",
+ " \n",
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+ " | \n",
+ " | \n",
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+ " | \n",
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+ " -0.559634 | \n",
+ " 4.033410 | \n",
+ " 13927.227233 | \n",
+ "
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+ " \n",
+ " | 2006-01-03 | \n",
+ " 0.011927 | \n",
+ " 242.204453 | \n",
+ " 9.225596 | \n",
+ " 0.067936 | \n",
+ " 73256.813998 | \n",
+ " 107.238005 | \n",
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+ " -1.811355 | \n",
+ " 0.107383 | \n",
+ " 2.769881 | \n",
+ " 3.616136 | \n",
+ " 9277.884909 | \n",
+ "
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+ " \n",
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+ " 74239.713135 | \n",
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+ " 0.012684 | \n",
+ " 1.648244 | \n",
+ " -0.040291 | \n",
+ " 1095.879590 | \n",
+ "
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+ " \n",
+ " | 2006-01-05 | \n",
+ " 0.000000 | \n",
+ " 182.991867 | \n",
+ " 0.000000 | \n",
+ " 0.023489 | \n",
+ " 74969.586306 | \n",
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+ " 0.000000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
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+ ],
+ "text/plain": [
+ " convective_fraction longwave_radiation potential_energy \\\n",
+ "Date \n",
+ "2006-01-01 0.068364 214.945984 10.357649 \n",
+ "2006-01-02 0.000000 254.142714 0.084665 \n",
+ "2006-01-03 0.011927 242.204453 9.225596 \n",
+ "2006-01-04 0.000000 197.144062 0.000000 \n",
+ "2006-01-05 0.000000 182.991867 0.000000 \n",
+ "\n",
+ " potential_evaporation pressure shortwave_radiation \\\n",
+ "Date \n",
+ "2006-01-01 0.054106 72753.678503 107.852158 \n",
+ "2006-01-02 0.067265 73029.484303 91.486908 \n",
+ "2006-01-03 0.067936 73256.813998 107.238005 \n",
+ "2006-01-04 0.024668 74239.713135 109.932230 \n",
+ "2006-01-05 0.023489 74969.586306 112.016637 \n",
+ "\n",
+ " specific_humidity temperature total_precipitation wind_u \\\n",
+ "Date \n",
+ "2006-01-01 0.003055 -3.338389 0.091463 3.342801 \n",
+ "2006-01-02 0.003090 -2.143214 0.161195 -0.559634 \n",
+ "2006-01-03 0.003487 -1.811355 0.107383 2.769881 \n",
+ "2006-01-04 0.002689 -4.391122 0.012684 1.648244 \n",
+ "2006-01-05 0.002074 -4.712330 0.000000 1.480716 \n",
+ "\n",
+ " wind_v prcp_mm_day \n",
+ "Date \n",
+ "2006-01-01 0.910459 7902.375296 \n",
+ "2006-01-02 4.033410 13927.227233 \n",
+ "2006-01-03 3.616136 9277.884909 \n",
+ "2006-01-04 -0.040291 1095.879590 \n",
+ "2006-01-05 -1.937328 0.000000 "
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "NLDAS_df = pd.read_csv(\"files/NLDAS/NLDAS_09330000.csv\")\n",
+ "NLDAS_df['Date'] = pd.to_datetime(NLDAS_df['Date'])\n",
+ "NLDAS_df.set_index('Date', inplace=True)\n",
+ "# Convert total_precipitation from kg/m²/s to mm/day\n",
+ "NLDAS_df['prcp_mm_day'] = NLDAS_df['total_precipitation'] * 86400\n",
+ "print(f\"NLDAS: {NLDAS_df.index.min()} to {NLDAS_df.index.max()}\")\n",
+ "print(f\"Columns: {list(NLDAS_df.columns)}\")\n",
+ "NLDAS_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Fetching streamflow from NWIS...\n",
+ "Saved to files/NWIS/streamflow_09330000.csv\n",
+ "Streamflow: 2006-01-01 00:00:00 to 2021-12-31 00:00:00\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " flow_cms | \n",
+ " site_no | \n",
+ "
\n",
+ " \n",
+ " | Date | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 2006-01-01 | \n",
+ " 2.344631 | \n",
+ " 09330000 | \n",
+ "
\n",
+ " \n",
+ " | 2006-01-02 | \n",
+ " 2.381443 | \n",
+ " 09330000 | \n",
+ "
\n",
+ " \n",
+ " | 2006-01-03 | \n",
+ " 2.429581 | \n",
+ " 09330000 | \n",
+ "
\n",
+ " \n",
+ " | 2006-01-04 | \n",
+ " 2.336136 | \n",
+ " 09330000 | \n",
+ "
\n",
+ " \n",
+ " | 2006-01-05 | \n",
+ " 2.237027 | \n",
+ " 09330000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " flow_cms site_no\n",
+ "Date \n",
+ "2006-01-01 2.344631 09330000\n",
+ "2006-01-02 2.381443 09330000\n",
+ "2006-01-03 2.429581 09330000\n",
+ "2006-01-04 2.336136 09330000\n",
+ "2006-01-05 2.237027 09330000"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from dataretrieval import nwis\n",
+ "\n",
+ "streamflow_path = \"files/NWIS/streamflow_09330000.csv\"\n",
+ "os.makedirs('files/NWIS', exist_ok=True)\n",
+ "\n",
+ "if os.path.exists(streamflow_path):\n",
+ " print(\"Loading cached streamflow...\")\n",
+ " streamflow_df = pd.read_csv(streamflow_path)\n",
+ " streamflow_df['Date'] = pd.to_datetime(streamflow_df['Date'])\n",
+ " streamflow_df.set_index('Date', inplace=True)\n",
+ "else:\n",
+ " print(\"Fetching streamflow from NWIS...\")\n",
+ " raw, _ = nwis.get_dv(\n",
+ " sites=station_id,\n",
+ " start=\"2006-01-01\",\n",
+ " end=\"2021-12-31\",\n",
+ " parameterCd=\"00060\"\n",
+ " )\n",
+ " raw.index = pd.to_datetime(raw.index).tz_localize(None)\n",
+ " raw.index.name = 'Date'\n",
+ " raw['flow_cms'] = raw['00060_Mean'] * 0.0283168\n",
+ " streamflow_df = raw[['flow_cms']].copy()\n",
+ " streamflow_df['site_no'] = station_id\n",
+ " streamflow_df.to_csv(streamflow_path)\n",
+ " print(f\"Saved to {streamflow_path}\")\n",
+ "\n",
+ "print(f\"Streamflow: {streamflow_df.index.min()} to {streamflow_df.index.max()}\")\n",
+ "streamflow_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Hydro_df: (5844, 14)\n",
+ "WY2019: (365, 14) rows\n",
+ "Columns: ['flow_cms', 'site_no', 'convective_fraction', 'longwave_radiation', 'potential_energy', 'potential_evaporation', 'pressure', 'shortwave_radiation', 'specific_humidity', 'temperature', 'total_precipitation', 'wind_u', 'wind_v', 'prcp_mm_day']\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " flow_cms | \n",
+ " prcp_mm_day | \n",
+ " temperature | \n",
+ " shortwave_radiation | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | count | \n",
+ " 365.000000 | \n",
+ " 365.000000 | \n",
+ " 365.000000 | \n",
+ " 365.000000 | \n",
+ "
\n",
+ " \n",
+ " | mean | \n",
+ " 1.822376 | \n",
+ " 2910.510680 | \n",
+ " 4.428593 | \n",
+ " 202.866059 | \n",
+ "
\n",
+ " \n",
+ " | std | \n",
+ " 0.278198 | \n",
+ " 6746.131415 | \n",
+ " 9.218865 | \n",
+ " 73.699334 | \n",
+ "
\n",
+ " \n",
+ " | min | \n",
+ " 1.268593 | \n",
+ " 0.000000 | \n",
+ " -15.312387 | \n",
+ " 56.792277 | \n",
+ "
\n",
+ " \n",
+ " | 25% | \n",
+ " 1.656533 | \n",
+ " 0.000000 | \n",
+ " -2.786536 | \n",
+ " 134.273632 | \n",
+ "
\n",
+ " \n",
+ " | 50% | \n",
+ " 1.778295 | \n",
+ " 52.700545 | \n",
+ " 3.493866 | \n",
+ " 208.454430 | \n",
+ "
\n",
+ " \n",
+ " | 75% | \n",
+ " 1.953859 | \n",
+ " 2064.611247 | \n",
+ " 12.672069 | \n",
+ " 265.843517 | \n",
+ "
\n",
+ " \n",
+ " | max | \n",
+ " 3.652867 | \n",
+ " 57643.760020 | \n",
+ " 20.607519 | \n",
+ " 332.300672 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " flow_cms prcp_mm_day temperature shortwave_radiation\n",
+ "count 365.000000 365.000000 365.000000 365.000000\n",
+ "mean 1.822376 2910.510680 4.428593 202.866059\n",
+ "std 0.278198 6746.131415 9.218865 73.699334\n",
+ "min 1.268593 0.000000 -15.312387 56.792277\n",
+ "25% 1.656533 0.000000 -2.786536 134.273632\n",
+ "50% 1.778295 52.700545 3.493866 208.454430\n",
+ "75% 1.953859 2064.611247 12.672069 265.843517\n",
+ "max 3.652867 57643.760020 20.607519 332.300672"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Align date ranges\n",
+ "begin_date = max([NLDAS_df.index.min(), streamflow_df.index.min()])\n",
+ "end_date = min([NLDAS_df.index.max(), streamflow_df.index.max()])\n",
+ "\n",
+ "NLDAS_df = NLDAS_df[(NLDAS_df.index >= begin_date) & (NLDAS_df.index <= end_date)]\n",
+ "streamflow_df = streamflow_df[(streamflow_df.index >= begin_date) & (streamflow_df.index <= end_date)]\n",
+ "\n",
+ "Hydro_df = pd.concat([streamflow_df, NLDAS_df], axis=1)\n",
+ "\n",
+ "# Clip to water year\n",
+ "wy_df = Hydro_df[(Hydro_df.index >= wy_start) & (Hydro_df.index <= wy_end)].copy()\n",
+ "\n",
+ "print(f\"Hydro_df: {Hydro_df.shape}\")\n",
+ "print(f\"WY{water_year}: {wy_df.shape} rows\")\n",
+ "print(f\"Columns: {list(wy_df.columns)}\")\n",
+ "wy_df[['flow_cms', 'prcp_mm_day', 'temperature', 'shortwave_radiation']].describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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sHXPMMcJljPlhHbFdcX7BMePaqoFhGIZhQoX/sjAMwzBhY/To0aInFS5mIDag7BClpYEk/7r2rZPK/HBRLV3QSo+nnnpKXARKZab//ve/RQIsyvtQqoyLcVyI4kILF4mu4MLeEQiK3objAjFQ0I/PXS8+SUiQ+vXhIh09uHDRLYmHkkgoCQd4DwKIL2EO/QXRwwxl1ih5xEUytgMuzN1tB4i8jkilbdK40jJCAHDF3TBPYNmxb3DBi3I99DSDIIiSP5R1BrK9wrHennokegLlvJgeposSdPR9g8DpWIYLAQTllSgrR8kpBMqVK1faezxKy4ESXowb7DbF9OfMmSN6p6GkE8cLlg0lr8Ecp756R2L7Y3mx3IEcO+5A2anrd9nfB9bPFxBOcC5yfKAE1dd5RuoN6jpP7DvXGx2u5wjpPOHr3IHth/kEcowHs43DdTx7AkIg1kEqjcd6oTXARRddZL/hEMi5O5jvJEQ/SWxHOTH2nbSfIRJin+G8IpUkexIJpe0p7StvJf5nnHGG2D5YV5xn3O0nd+corKe7YyaQmwH4vqNXI9YDQiUEacfeiQzDMAwTDtp2mGcYhmGYMIALQfSGe+GFFwLqxeTqtpCcHXC4HH300W4/g4tDALEEF6lwEzqCi0VvPfzaE1w4opm9K1KPMkfnChyH6G8GAQ2CDFwxcJZBPICbECLh5MmT2/SncgXbAZ9FTzxHEMgS7DpIfdhccTfMX3Jzc0VoAPrA4WIe7sJAtleo6x2oswd9KiE4AQgEeECARlgKnEwQp3Csb9iwQfRrg4NKwjXkARf7mH+w2xTriqAT9LBzXA8IGcEi7WdP2x/rh+UOFTglIewEgy+nVyjnGQyDI9rd98vXd85fpDCiYI/xcOLP8ewJyfmIvp5wt6FfIo49x9COQM7dwXwnJdEPjkGI5BAGJXDzAfOHQIj3IT66CsWBgHXDDQ5MD+donKtdgWseICjLsfch3JPbt28X/W6DAQ5VuD7hzsW5ATeUcMMFPTMhwDIMwzBMOGEnIcMwDBMy7i54gVT26Fh+h4vtQBwwcFBA4ENSpas7SHpIDhBcYLpezCPA4vDhw9RZ4GISJbKOwQUA4RJI+nS8eIZrEO4bBIhgOARCaRoo04Ww4k+psbvtgAb3rgm1/oKLa1xkI2DB1grQBkruUPrmC4h0nkq1XY8RrCv2NVJOXbcX1suTG6g91tsXSNGGWxCigBQ4IYkcrsvx5ptvOr2OiooSJdVwBDo6/7Ct4IL1BeaD495RVIGA4JpuHMh3DvsZziQIPo77GW4tODOlxONQgRjp6bvs6xFMaq8/oPUA1hnnCnfzlQSgUMF+hxiH/e64T3BTAMIvErF9BYe4I9Dzqr/HszcgCOLYxXkBojiOD8fwn0DO3cGAmwoII8H5FeKuVGoM8L1AmS4CrOCU9Hbe8IXkIMR88D1A6Io7sF9xnnQNdPn666/F+Q/uv1CAWIhSc4i7aKuA76WvMCeGYRiGCRR2EjIMwzAhg4smXNzCIYSLRFzwwomCxGD0bEJqpAQutpHkiotQJHKiH5u3C3B8Hk4UuLJQsgXnBC6WkIILxxaeJecYLvRxgYZlwMXUmjVrRGkrlq2zgJsS/c5wkYqUW5ScIUEY4iXKsHHBJ4HEU1zcIhEXScASEAYlV5o/IiG2A5KBMW+4a1CqjL5bcJ7B1RIocBRhekhZxcXylVdeKdxDDz/8sF+lsZg/jpFzzjlHLA8upFGeiG2AtGNc3Esl1ChRhyCIvmhYZrhmMB5cMygl9iaghHu9/QH9FXHBjv2FckAceygbR9IvRCfsb4h+Ul9JR7CsKIVGWfltt90m0lJRhgkhybUM0926QmiC6wvfCaTSYnrYtujB6Qi+X3BTYTnwPsRnd64q7Gcck+eff76YPtJ+IZDgO4T9jX6j3RUIWnC1QvhCsjgEJuwH3ABBeSm2IY6/cIAkXexznBNw/EAow/ENFyoEt2B61wV6XvX3eHbsVeoKjnUIg1gfHH/4Lgd77g4GbCecOyDC4bvm6CQEeA2XMt4LRSTEciP9/L777hMCt9Q6ACC1WXINYlvh+wOHJb47cA7iuwjhFfsb33VHME0IfZLTGWIq1kXq4SoJ8ugVCXBewfcQn0OPTTjm0X+VYRiGYcJKQDEnDMMwDOOGL774wnreeeeJFOHo6GiRkJmbm2u98MILrVu3bnUaF4m4SHqMiYkR6YxSMq6UoPnVV1+53caLFy+2nnzyySLREtPPysoSrx3Hr66uFumuSA5FcjASl5csWSJSPx2TPz3NS0oTXbVqldNwKXnTMfnS33RjsGnTJpHwGRcXJ9IokeyJebkDybSYxt9//20fhrRUKRHYn9RYpHnefvvtYhshaRapxN9//71IfnVMIpZSfp955hm/1gMJzNjHWAckdb777rttpukO7BekNU+dOlUsEz6PxN3hw4eL4U1NTU7jI2kVxxPWF/u6f//+Yhkdk1TdLWM41tsT+DyON3e8+uqrYnoffPCBeI1jfvr06eIYT0hIECnOSK12t02R7jx06FCxTfCdefLJJ+3Hm+v8XROKMW5+fr5Iz0ba6v/+9z+3n0VCKtJ98Z3Ae9J3wV1qLcA2Q/IytiH2E9KhHY9HT98Jx+8QtnFngG2EZfaEp+WWwDGNdcc0kIiLBOyLLrrIKcnY03ff0zGC+V1//fVOw3BewvdBmg8Sj6VUYF/nI3f7zdN5NRzHs6fjBLz11lviPaxDbW1t0OduX/vFE6+99pr4XEpKisdkYDx27drlcRq+zgfu0rKlh7tE6U8//dT+nU5PT7fedNNNTinIjvvA03Qdvz9vvvmm+H7j+4u/r5MnTxbfUYZhGIZpDyLwT3hlR4ZhGIZhGIZhGIZhGIZhjiS4JyHDMAzDMAzDMAzDMAzD9HBYJGQYhmEYhmEYhmEYhmGYHg6LhAzDMAzDMAzDMAzDMAzTw2GRkGEYhmEYhmEYhmEYhmF6OCwSMgzDMAzDMAzDMAzDMEwPh0VChmEYhmEYhmEYhmEYhunhKKiHYTKZaN26dZSWlkYyGWukDMMwDMMwDMMwDMMwPRmLxUKlpaU0YsQIUih6nFRmp8etOQTCsWPHdvZiMAzDMAzDMAzDMAzDMF2IlStX0pgxY6in0uNEQjgIpR2fkZHR2YvDMAzDMAzDMAzDMAzDdCLFxcXCUCZpRj2VHicSSiXGEAizs7M7e3EYhmEYhmEYhmEYhmGYLoCsh7el69lrzzAMwzAMwzAMwzAMwzAMi4QMwzAMwzAMwzAMwzAM09NhJyHDMAzDMAzDMAzDMAzD9HB6XE9CfzGbzWQ0Gjt7MRiGCRGlUklyuZy3I8MwDMMwDMMwDMN4gUVCF6xWK5WUlFBNTY237cYwzBFEfHw8paenU0RERGcvCsMwDMMwDMMwDMN0SVgkdEESCFNTUykyMpJFBYY5wkX/pqYmKisrs6eaMwzDMAzDMAzDMAzTFhYJXUqMJYEwKSnJzeZiGOZIQ6vVimcIhfhuc+kxwzAMwzAMwzAMw7SFg0sckHoQwkHIMEz3QfpOc59RhmEYhmEYhmEYhnEPi4Ru4L5lDNO94O80wzAMwzAMwzAMw3iHRUKGYRiGYRiGYRiGYRiG6eGwSMh0Ob7//nvq06eP6B13yy230Pvvvy/SaTuaBx54gK666irqLP773//Sqaee2mnzZxiGYRjGN58t3U2v/7pFhGUxDMMwDMMcybBI2E1AKMPVV19Nubm5pFarKT09nWbOnEnLly93KrmEANfVwXqcddZZdOjQIXr00Uc7ZRlKS0vppZdeonvvvZc6iyuvvJJWrVpFS5cu7bRlYBiGYRjGM0azhT74cwd9v3I/ldfpeVN1I6wWM9Xv/4EsJt6vDMMwTM+BRcJuwplnnkkbNmygDz74gHbu3Ek//PADHXvssVRVVRXQdDo72KGhoUEInhA4MzMzKSYmplOW45133qHx48dTfn4+dRYQe8877zx65ZVXOm0ZGIZhGIbxTHVDM0n+wbomA2+qbkRj0Z9Usuxmqtn+PzI2FXf24jAMwzBMh8AiYTegpqZGuM2eeuopOu644ygvL4/Gjh1L99xzD5188sliHEnsOuOMM4SjUHr98MMP0/Dhw+ndd9+lXr16CWEK5TK1tbWi1DY1NZViY2Np6tSpQoSU2LNnD5122mmUlpZG0dHRNGbMGPr999+dlgvzeOyxx+iiiy4S42C55s6dS+Xl5eKzGDZkyBBavXq1GH/RokV2URDzw3JimDtef/116t27N6lUKurfvz999NFH9vduu+02OuWUU+yvX3zxRTGtefPm2YfhM2+++abHbfr555+3KfW1WCxiG6MUGtsJrs3HH39cvLd//34xjy+//JImT55MWq1WbBMItnADjh49WqzvCSecINZfAuuHfRUVFSVKqidOnEgHDhywv49lgPtTp9N5XFaGYRiGYTqHqoZm+//rdJ17o5UJL7W7PiKKkBPJlLR/7jHUWLyENzHDMAzT7WGR0AcQzPQGU6c8/O1tA/EJD4hJzc2tP1YdgVAF3nvvPSouLra/Brt37xbi1jfffEPr168XwyAulpSU0M8//0xr1qyhkSNH0rRp0+zORDj+TjrpJCEMrlu3Tjj/IMwdPHjQab4vvPCCEL4wDqZ54YUXCtHwggsuoLVr1wrBDa+xrhMmTKAdO3aIz2FZsJwY5sp3331HN998sxADN2/eLMqTL730Uvrzzz/F+3BQLlmyRIh6YPHixZScnCyeAdYL4t2UKVPcbqvq6moxXQh7jkB0hUiIXoVbt26lTz/9VIikjjz00EN0//33i3VTKBR07rnn0p133ilKl7FMEFcffPBBMa7JZKLTTz9dLMfGjRtFaTiEWcckXiwD3J0rV670sPcZhmEYhuksqhpaS1HrdOwk7C4Y6vdTU/FfFJ09nWLyTqGICBlVrn+KrFbbb0uGYRiG6a4oOnsBujrNRjOd9tSvnTLvuXfNJI3K9y6CGIVwD/Swe+ONN4SgB+HpnHPOoaFDh4pxUlJSxDPcauhX6IjBYBBOPGmchQsX0qZNm0TZLxxz4NlnnxUi5Ndffy2ErGHDhomHBByDEO9Q5nzDDTfYh0NIhIgHII7BAQiH3dlnny2G3XXXXaKsFz0AsVxwLoLExMQ2yymBZbnkkkvouuuuE6///e9/04oVK8RwOCmPOeYYqq+vF8IktgXEudtvv52+/fZbMT7ERIh7AwYMcDt9OPkgWqLcWQLTg9CHMJGLL75YDIOTcdKkSU6fxXwgmAIImRAJ//jjDyGUgssvv1zsK1BXVyccm7NmzRLTAgMHDnSanuQwhFPRk6jJMAzDMEznOwnrWSTsNtTu+kQ8x/W9kJRRWRTX7yKq2f421e//nmILZlNXov7gPFLF9CJ1gvNvSIZhGIYJBnYSdqOehEVFRUKkg0iFMlYIZJIg5Q2UAUsCIYBzEE7BpKQku0sRj3379gknHGhsbBQOuUGDBgkRC+9v3769jZNQEimB5LpDibHrMAiS/rJt2za76CaB1xgO4uLiRAk1tgHETplMJoRKlEtD7MNwb4KbVNqr0Wic5gmXJtyU3vBnfaV1hRAKsVNyYUKEhHvSFZQuNzU1+dwuDMMwDMN0LFX1jiIhlxt3BxBUUrf3K1LG9iZt2ngxLPGo60imjKHS5bfRvrnHkKHW9nu4szHU7aWSpTfQod/OECErDMMwDBMq7CT0gVopF46+zpp3IEDUmj59unjAtXfFFVeI8lcIUd6AW80RlOlmZGS47QcIQRDccccd9Ouvvwr3HkqGIWQhkRiuREeUSqX9/1IZrbthUmmwvziW5AI4/xyHoeQYy4+ehRAEExIS6KijjqK///5bDL/llls8ThulyVLZsSSeYv38wZ/1dVxXlH/fdNNNNH/+fPriiy9EqfKCBQvo6KOPto+DEm9HEZdhGIZhmK5YbswiYbfAaqaEgVeSIjLT/ltOrk6gzOM+oLrdn5O+ch0polqrTTqTJnufxAgRstJcu4OSht4myqMlmqu3UsmyW8Tw6JzOuaZhGIZhjhxYJPQBfhz4U/LbFYHLDyXCEhCrzGazz8/BgYi+fShj9pTuixJeiI8IQgFwHqIktiNASS6CWtDLUGLZsmVOpboQCZFQjHU4/vjjxTCIhQgk8daPEKD0F2Et6DvYr18/Maxv375CKETpMMTXcDJixAjxQM9DlF6j16EkEsK5qdfrxfsMwzAMw3Th4BJON+4WyJRRlHjU9W2Ga5NHiIeE1WISD5mitfKko1FEZVBkxhRKGfUAlSy/jXSl/5Cxbi+p4vrYx6nZ8QEZaneRXJ1oH2YxNpBMGd1JS80wDMN0ZbjcuBtQWVkp0oA//vhjEYCBsuCvvvqKnn76aZEiLAHBDyIXBEC45DwBUQ1iFUI14BaE+AcRDi43KYkY7kH0+EPQCcp4zzvvvIDdgMECFyPKqNF/cdeuXfT888+LZUE/QAmpL+GPP/4oBEOAZ2wjuPIgoHoC5cnYBhAiHV2a6J+IEusPP/xQiHfogwghMliwnyAMIrAEfRB/++03IWA6ip0QY5E6LfUsZBiGYRimi/Yk1LOT8EjHajGS2Vjvczx91Wba+80oqt1t613YWURnz6Cs494nVWxvyj7+C8qe/qWTQGgxN1PDoV9InTCItKljxLDKjS/SwfmnkqmptBOXnGEYhumqsEjYDUA/wHHjxokkYYhjgwcPFgm8CDJB0IbEc889J0pZc3JyvDrT4J5EqjGmddlllwk3HUJQIBZKffYwL5TwIn0Y/fTQVw8OxI4A4iX69z3zzDOihPjNN98UZbuSGCj1JcQ6ou+fJAhOnjxZCJn+BIAgnAWuQ0fhE9sUicoo5YaQ969//SugXoquREZGij6O6CeJbYx5IvRFCnoBn332mdiPDMMwDMN07XLjenYSHvHoytfQ3q9HUN3er72OB1HOammmxsMLqbNAqx1HZHK1vcwYYidoKlpMFmM9xeSdah9PrkkkY/0+Klx4Hpl0wf+OZRiGYbonEVbXvzDdnMLCQiGSHTp0iLKzs53eQ1kn3F0FBQVOoRVMzwNfC5T8onchEoo7g82bN4ugFLgLIXoywcPfbYZhGCbcmC1WmvWfX8jS8lM6KzGK3r2+9YYlc+RRseEZqt7yGuXM/J40ScO8jnt40eXUVPwX9TpzDclVsdTRVG58gRqLFlHmMW+RIjLN7hws+vMiUkRmUPqEF6l46fXUcPBnyj/tb1I69FFECXL5modJFduHck74sVNLphmGYY4EragnwU5ChvHgpnzrrbfIZDJ12vZBWjVKm1kgZBiGYZiuB3oQSgKheK1zDm9jjjyaSv4mmSqO1AmDfY4blTWVyGoSQmFn0Fi8mIz1+0musQXuSW5C0HDwFzI3V4tehNrUsU4CIYjvfzElHHUdGep2d9ryMwzDMF0TFgkZxgPDhg2jCy+8sNO2z4wZM0QZN8MwDMMwXbfUWC6zJeA26IxOoiHT9YDTrn7/D2Q1txV0zYZaaq7aRJFp4ylCJvdPJIRY1wklx+bmGmqu3EiR6RPbLGtsrzlktRjEeuae9CtlTHrd7TTietsqZRoKf+2QZWYYhmGODFgkZBiGYRiGYZggQ0tQZgwgDzZweEmXpmLNo1Sy7Gaq2z+3zXu60hVo5kfa9El+TUsZmSECQZprtrXpD9jeNJX+LY64yIzJbd6Lzj2JZIpoqtv7paiMQQ9CdyijsyllzKOUMOiaDlhihmEY5kihU0XC119/nYYOHUqxsbHigUTdX375xeP4ixYtEn/sXB8If2AYhmEYhmGYjhYJU+O0pFXZ3Fz1TZxw3FVB/z4pjVhXuqzN+801O8Qz3Hn+knns+5R74s/iesQT+qpNtG/uZKrd/alf02wo/J0Ozj9NPHuiqXhJy7K2FQllCi1FZk6h5uqtVLvnK6/ziu97Aanj+vq1XAzDMEzPQNGZM0czyCeffJL69OkjXn/wwQd02mmn0bp160RqrSd27NghREWJlJSUDllehmEYhmEYhgGV9bZy48RoNcVqVaQz6KhejzJWm7OQ6TqgPLf0n7tIpowRZcLa1HFtxkkachPF9TnXqcefLxRa39cgEXINmRoLydRY7Nc0q7e9KdyJ6CkI4bJ6+9sU3/dC0iQNtY+jK/uHlDH5wg3ojsTBN4hegwo/1sVsqBO9DR2nzzAMw/RcOlUkPOWUU5xeP/7448JduGLFCq8iYWpqKsXHx3fAEjIMwzAMwzCMZychRMIYrZJKa3VUx05Cv7FajGRsPEyqmPx2P7wsZh0po3Mprve/KLbXWSGJfq7oK9ZT9fZ3KG3ckyRTthWIK9Y+Jp5N+gqf07JaLdRcvY20KaMprvfZpKtYR/V7vyaFJsVJxEP6srFur8fpqOMHUO+zN/q1/IW/zyGzvooKzlhBERHciYphGKan02X+EpjNZvr888+psbFRlB17Y8SIEZSRkUHTpk2jP//80+u4zc3NVFdXZ3/U19eHeckZhmEYhmGYHisSxmgoNlLVpROOLcbGDu+b54uS5bfRgR+PI33Funabh7TO6B+YPe1ziik40+E9i/3/TSVLqWbH+8JVFyj66i3UcPAnqt39WZv3IL5J6cFmfbnPacHRZzU1il6HQJM0jOSapDbhKHJVHGmSR1A4iMqcKpatPfcDwzAMc+TQ6SLhpk2bKDo6mtRqNV1zzTX03Xff0aBBtj+MrkAYfOutt+ibb76hb7/9lvr37y+Ewr/+sv3xdccTTzxBcXFx9oenaTMMwzAMwzBMoOnGwkmoUYr/1+m6Xk9CXfla2vvtaCpf9QB1JeDsA4aGg+0yfYtJTyVLr6fq7e+J10gBRu9AJByj51/pijvs41ZtfoXK1/0HHwp4PnAmyrWpVL3tLTFtR/SVG+z/98dJiD6CQJ1gq6iCsw8inqF2BxkbCslqMVHVltfIUH+AwkV0zkzxzCnHDMMwTJcQCSH0rV+/XpQYX3vttXTxxRfT1q1bPY575ZVX0siRI4Xb8LXXXqOTTz6Znn32WY/Tv+eee6i2ttb+8DRthmEYhmEYhgmm3FhyEtZ3MSehSV9JJX/fQFazPmzOs1BoLF5Ch347i5pKV1Bk2gQxzBKEe88XEOQO/3EeNRz6hfSV65xclDK5WmwPXckyMRzlvbqylRSTe7LHJGBvYHoJA64Ubry6vc5BIfrK9fb/m/0QCU26ciKZ0i4SAvRQBI2Hf6em0mVUueEZqt//PYULdeJQUkRmUOOhX7uc25RhGIbpgSKhSqUSwSWjR48Wrr9hw4bRSy+95Pfnjz76aNq1a5fH9+FQlNKT8YiJiQnTkjPtwbHHHku33HKL/XV+fj69+OKLIU83XNPpLhgMBvG9+/vvv+lIB25khCChVQHDMAzDdAQQU6rqbSJhUrRG9CQE9V3ISWi1mKl02a1kaiqmtPHPUWyv1lLbzsLUVET6ijVCpJOp4sQwizG8IqGhdg8d+nW2EAcTBl1L6RNebJM+jOASk65ElPfW7PxADIvvf0nQ84zrex7J1AlUvfUN0WvRUSSMkKkoa9qnlD7hZZ/TSRhwKfU5ezOp4myhjlKCMabRePgPqt//gxgWk3cqhQtsG2wPY8NBspqawjZdhmEY5sik00VCV8QdvWZnq743kISMMuSeTllZGV199dWUm5srhNH09HSaOXMmLV++XLx/zjnn0Iknnuj0mV9++UX8MHjgAefyk0cffZQyMzO9Cnn4HB4QeXv37i0cm4HsN39ZtWoVXXXVVX6P//7777sNtQl0OoHS0NBASqWSvvjiC6fh//rXv8R22rNnj9NwbLN7773XadjDDz8s9lOw88f+PeaYY4TjFtvBGyjbz8vLo4kTJ9qHYTk1Gg0dOOBcwnL66afTJZe0/nDG/zHMmyArHR9arVa8njNnDi1c6NxPR0Kn01FCQgIlJiaK/7v7js+aNUsEFmH5MD1s14oK2x35IUOG0NixY+mFF17wus4MwzAMEy4a9CYymm097RJjEFzS0pOwqes4CVFC21SyhGJ7n0OxBbPt5azFf9/UpizWW8muqakkbMtkMdh6gyNlWK6KFf83G2pDm6a5maxm23aHQ/HQgjOFGJk69j+UPPxOt2Ec2rSjxXPDofnCladJGi76/wWLTBFJCf0vI1PjYZE8LF3ToNwYrsDItPGkTRnp17Qi5CqnZUYYSsqYxyjhqOuF2w/OP1VsAYUTZUyB6INotXSd45dhGIbpgSIhRJIlS5bQ/v37hRvovvvuo0WLFtH5558v3ofwdNFFF9nHhxPs+++/F87BLVu2iPfRn/CGG26gns6ZZ55JGzZsoA8++IB27txJP/zwgxDzqqqqxPvHHXccLV26lEym1l4r2NY5OTltwl8wHON7A2XfxcXFtHv3bnr66afp1VdfFSJXuElJSaHIyMguMx1PoK8m3LCu23Lx4sVttnFhYSHt3bu3zTbGPjvttNOCmj/WDZ9Hf8533nlHpIR745VXXqErrriizXAIew8++CCFyv/93/+J42PHjh304YcfCuH2+OOPFwnmruA7PHjwYNEvFL1GXcVvfC45OZl+/fVX2rZtG7377rvixkBTU+vd7ksvvVSsMwKQGIZhGKaj+hFGaxSkUsgpVnIS6ruGkxDCWcPBeaSKH0Apo1t/n0EUazjwI9Xt/tyv6RQtupj2fT+eLMaG8CxXi2sQIiGchBCmFOqkoKeHoJGD82aQocF2g9PaIn5mHvsuxfU51+Pn4JwDlRueFp+JC8FFKBHX7yLKPfFnikyfZBtgNVPq6EcpYdDVwtWJUmJv4ixKwyHsovy5zbR7n03m5kqymBooJj+434reSBpyE+WeOI/k6oSwT5thGIY5suhUkbC0tJQuvPBCewDJP//8Q/Pnz6fp06eL9yEyHDx40KlE8vbbb6ehQ4fS5MmTheg1b948mj3bdne0p1JTUyO2xVNPPSWEJzjE4KyCiIqejQDD4TZbvXq1kxh49913C5edJLhgG8N96EskhCgFtyKcixAosc9+++03+/uVlZV07rnnijJQjAu312efOae+oTwUIjAENog+zz33nM8y4eeff15MKyoqSohv1113nVgvaX0gFqH3pORkk4RL1+nguIIgh3mjDB1ONxyPEvjc8OHD6aOPPhKfRegNXH7e0rGxzbAMEhC04IzDMjoOh2AI16Gji+/QoUO0efNmu9sTy/7mm28KBx2238CBA8V+gSgL8Rfrj76ckkNRJpOJaZaXl9NDDz3ktbR67dq1YjrSseHIjTfeSB9//LEQ7UMBZf3S8QF3I5yLcKxCgIRw6AhEzQsuuEA88H9Hli1bJlLJ3377bZFqXlBQQFOnThXrh2lLwDWLYw6iLMMwDMN0XD9CjXiO7WJOQvTJy5u1gHJmfi/+L5Ew8CokeFBTqa3SxBfo1SelI4fVSaiyOQkhTEFEC5aqTS+JMllTwyHxOipzCuWftoSiMo7x+jmFJolUcf2FWJky5lGKyXGutgkGrI86YaD9dYRMQTH5p4hgkJqd79O+78ZSc+VGj5/He5UbnyddxRq37zccsv3OjsmbFfKyMgzDMEyXFAkhCMBFiDJVOIZ+//13u0AIUDLpKK7ceeedQtyA8AKHHFyIJ510EvV0IHThAZelp5Lffv36iRJiydEGsQti0dlnny1KX6XedAiQwfb1JRI6AgcjPg+RSkKv19OoUaPop59+EuIXSn0hCEMIlrjjjjvE8iDRGgIj9vWaNe5/GElADHv55ZfFNOGaRAkrjgswYcIEIR5B9IPAjAdEZVdQ/oFyWRxDEJUWLFggxDaUsDqCYdimWAc8MO6TTz7pcdmwzSCAYb4A6wYxG6KWq0g4btw4J2cjXIAQ0xxLpVH2DREVwT4DBgyg8847T5SUQ/yVxF5HFy32HYRZbAMIiJ6A2xDHA7aTK9iGECYxj3Bz8803i20/d+5cp20M8RMiLR4QBeGylIDQCPcrjhFvzbRR9o5+pjgnMAzDMEx7U1XfmmwMYiO7Xk9C4CgQitfKaFH+qi9fFVBIhSVMverMRptIKFe2/Q0SKM01O0Q/QXXSMIrMPNY+XK70r/94+sQXKf/Uvyi+7wWixDdcNB5eSIcWzCFjY5F9G8tb3JLeEo6bq7eIZ8fQEicsRorJP4MU2lQKN/qqzVSx/hky1LX+BmMYhmF6JorOXoAjhQPzZrgdnnHMW6SKySdD/X4q/st9z7u8k213/hqLFlPFurbllsroXMqc8rb4f83OD6l218f2z/iDQqEQgipKgN944w2R/jxlyhThfIPrUgIONIhVEIAgpkAoQhkuxsVwCLRSCTKEQ28gWRruLqPRKNyHEO9QciyRlZXlJNDBoQaX6FdffSUEMrj/IBKjFFUShiH6wXnoDcdQE7jKIKQhFRvLA6EIjj+48CAueQJi9MaNG2nfvn1iXQEcg0cddZRwVY4ZM0YMs1gsYrtKYTcQOf/44w+3JbMAzkAIpdiGEOvwjG2L/QF3I8rk+/btK4bDNecIhDPXUmO4IiGcgbvuuksIf3DjwTUniW4YB0BkhyApJYBDbMT2dgeEeW89JxEghOMGxwimGS7QcxB9BTF/CZQOwz2JnoTghBNOEMMee+wxezAR2hJAIL3mmmuEQxaiK8TTtLQ0p+njmHOcNsMwDMN0RLIxiNG0OAm7SLpx+epHSJMyyq3rTJsyhmqqNpGxbo9TQIYn5OpEUkR5/t0QCHG955AmeThFKGw3Squ3vSVKcROPujag6UB8K1/9MNJZKHX0I277DvpCHT+A2gP0cIQIu3/uJFLG5FP+KQtJoU32mXBsEwkjSB3f3+37GZNfo/bCULODqre+JvaNKrZXu82HYRiG6fp0ueASJjhQ8ltUVCQcaRCRIERBnHIMsIDTDY4/CHt4H6IhkERCgGeIML5A30g43CQX2GWXXSaWQQK94SCmQWxKSkoSTke4BaXycTjIIC46Ot4gIkHk8gZceBAVIQhBvINYhDLTQJJtUQYMcVASCAH64UFYw3sSKDN2TMNGSTTEOE/AGQgRS9qWcB5iG0PEhYCI4Vh/iJOO2xjltBj31FOdk+ocBV5JEEOpteMwODbxeYhv2K9wWMJR6EkgBHCKIgDEE9gW2K4QJsMNftRLCYM4RiAMOwqm+D+GOfYWxHFUUlIiBHAsG57hrHQtiUZIimOfQoZhGIZpd5Ewxvb3NKbFSagzmO2BJp4wNhWT1ep9nFDA9FHe2lT8l9v3taljxbOu3FZK7I2C2asoZ+bcNo7EYMG8hXOv5bdA3b7vqW6Pc+ibP6Dfoq5sBcX2/ldIgSPtQWzvs0kZnY9fPaSMzhPD5Bp/RMKtpIztJUJQOho4TP0tK8exW7H+aSFE1+39xh4aU39wHhUtupyqt/0v5DAahmEYpvNgJ6Gf+HL2wU3oaxz0ScHDG/H9LhKPYIDwAwEND/R+QzAF+tNJybQQCSGmwS0HsQ3lvpJICFEI5bcQ/S6++GKf84Jjr08f291n9LCDCw/OwMsvv1wMQ39BpM2i9FXqIQgXIIRBEEiJiwRSd1FeDkcZHIQQFdGLEfOEQBaMUOVtuGP5NMB7cBd6A9sYCccI1oEYB6FW2sbY5nA7Yj/BIeeYMo2eg+gl6Yjj/KXlcjfM1zK5ghAQXz0HH3nkEeE0Rbl1uICYi56JcIACBJEcPny4TZk3BEIIyo5p3BCaURqPB5yO6E/47LPPCkFRAsevLwcswzAMw7SHkzBaoyRZBJHFipJjg71XoSu1uz6lslX3UVzfCyh1zKPtsjN0JcvEszZtgkehLnnkg6RNa+2N7AmZXEOm5hpRJuxvGW+gffyadYGnJ6MsVq5No+Rhtt+yXYkImZKShv6bSpbdRNqUUU4ioadyYwSwoLdidJ7zDeMOFwlNvgNqand+RNVbbQF5EYooiik4Q/zf3FxDjUV/UmPRQqrc+IIYnjzi7nY5bhiGYZj2g52E3Ri4rhwddhBQ4J6D2xAuQAhXkkMOrjkIe3CmBdKPUBKuUBJ6//33251cKFVF+SycYegV16tXL1FuKwGBEZ+D602iurpaJDN7An340J8OywmRDSIW3JOOQITzlXCL7QJHH8JCJLZu3SpKgiHWhQK2Hdbz008/pUmTJpFcLndya+IB96Sjkw+lxq4uwvYEAtv27du9CrU4TtDvEPs1XInBL730kihLRz9IAFEZJfE4Fh0fcKm6Bpi47mMcy67uUbgosW4MwzAM01HpxpJIKIuIEEIhqGvyfONSEZUlntFapqm09TdQOGkqsfWZjkx3LxIiwTZhwKWkinG+OekK0ngr1j9FB+ZNtwuPobL/p2lU+Htr6rBMFUsWQ53H3yRIA3YnrCGNt+C0JSTXJFJXJDpvFmUe9wHF97e1hZGrEkRgjCcnodWsp9jec3yaCdoLmSJKPPtKsTY2FFLFhqfFcZx70nzKPOYte6l3bK+zqPecLZQ2/jlRsly3+1NqbAlb8QX2v0lXFpSJgGEYprN4/fXXRfUfev3jget8GIAkcE5DICpafaHqDVWGMBM5gkwJtGaDkQfGKugChYWF1JmwSNgNgEML5atw9Em99tD77+mnn27T5w4iFvr3QaRz7OkGEeuVV14RYp5jaqy/oGccnG2YNsD0EQiCIAqU8CJwAyWjEig/hgMQbkb0+YPAA8cjRCRPQBiCSIjlRLgF+gii9NQRiJ3od4hpVlRUuC0/Pf7448WXGWIUwltWrlwpnJTYBqNHj6ZQQPCHWq0WyyiJsAB9DiFCfvPNN04iLNYHJxLX/dSeSI5S1xOUK+hdCREWPRxdwbq4inuOSeQIxsH+hhCLoBQE16DPIEqHcWzAUfjjjz8K1+rgwYOdHhgGIRvjIDAGQjOeISAjGAYOwp9//tlpm6EXIVyJ2LcMwzAM095U1TunG4OYloTjen1bkdBi0olniEB5s/6gCLmGyv65xz48XOCCpKl0Gani+voMuDA3V3sNJGkqXizEzLAGl+irRBmuhAwBJlYzWT1Mv2LNo7Tv2zGib6G0fhAOJcdeVwW/iZGwLFPaxLcImZwKTl9OGRNfcTs+9lXauKcotmA2daaT0Oql3BjbvnTl3WJfpY17UvROdBSiUZIuU2jFOqSOe0IMMzXZwvw8idklf9/S0l/yQdr33TgyN1eGdb0YhmHak+zsbBFsCjMTHtBkcI0qXWdDj3n++efpv//9r6jmRG4Cqj5xrSyBakuEdH7++eeiShJaBoJEw2XUCQYWCbsBENwQBoLyXiTkQmhBwAUCLHBAugpEOCilfoQSELQwPFAXoaO7C84zfBFwYGP+KLVFf0TMC18IyUEm8cwzz4jlhVoOcQfOOyQie2L48OHiS/bUU0+Jdfzkk09E6amrSIdyZJSwIpQFy+PuhxvKaBGWgflj3hBHUSYcKlIpses2hmsSdxZctzF6EWL/eVvvcIPS3dmzZ4vt5w2Uc6MvIdylrsARCdee4wMl7hL4PxyqEAQR+AJREcKt1OcQgTW4UzJt2rQ208b2QS9IiMBwfaLX42233Sb2P7btl19+KUJzMF2Jzz77jGbMmNGmZJthGIZh2gNJCIzVtgpV0v/rm5zDS9Dn7eAvJ1Nzra2iAi4rlKMaG/ZT1aYXw7pcxrq9ZNaVeiw1lmgo/I32fjOSGgoXeBzHUeCxhkHMFAKfsV64ByXkqjjxbDbWeXVFQmQTr4v/ov1zJ1Jj8RI60oAQGM4U5XCCcJrovFNI5SE0xYaVonNOoPj+l1Fk+iSv01PF9qasaZ+KnpHuwHeh+K9rqOHw7+I4U0bZgguN9RxAxzDMkcMpp5wi2qGhwhEPGGJwbY9qSfzNQ+u1++67T1x7Q79AqyyYmFB1CHCNjAo6VEpCk8A1NYxfaA3mzqjTUURYe5ivG9ZNlFLC4eSapAsxBC489EzzFuzAMOHipptuEm5CyYHZUeDEgxPR7t27ncJZjkRg0UZqNIRCBMS4g7/bDMMwTDg59YlfqNlkoQ9uPI7S421BEw98vopW7iqjW2cNoRNG5Dql3e77fjzF97uEUkY/JIZZLSY69NuZpEkaSimj/89tr+RgQIlw/b5vSZMy2t4Pzx3GxkLaP3cyxfY5j9LGPu52nNKV91Ld7s/E/5NH3EcJA68IadngRtzz5VEUUzCb0sc/J4bVH/yZmkqWUtKQW0mhTWnzmcLfzyFD7S7qdeYasW4ly24hXdk/lH/qIruwdKRgqN1Nhvr9FJ3dtuqhbNUDohQ5Y7Kt1193BqEmh+afLo7BrKkfUWTa0dRw6DcqXnI1pR39jChbZhiG6WpakS/g/EM1J6ri1q1bJ/QkVEKictGxJRachghMhWC4cOFCYZpBb30YmCTQrg0GK+QEdAYcXMIwnQjuKDgmPHcUCJOByxJluo6JyUciCLTBHRpPAiHDMAzDhBOzxSoEQqBVtf6UjpF6Euqcy42lkuIIh9TaCJmCsqd/GbbUYAkIbQmDrvY5HgQ2RWQm6ctXeRwH4qZEOMqN0XsQyByCLGJyTxIPj58xNYntVr39Harc8AxZzc0Uk3/aEScQgqotr1L9/u+p95ytoizXEV3ZSrJanB2oXQmrxSjK0xHAIvUg9AXCWPAZx96XEMdLlt4oXLQQxyEQAmUM0qCJDPX72mkNGIZh/Ke+vp7q6lod7mgnhocn8w2u52FKgYsQpcOohkPbNeDY4k16jetXgPZcqMh0FAilcRxbtXU0LBIyTCeCXn2dhT8p1kcCkr2bYRiGYTqCZmNrnyCtylYGC2IjW3oSuoiEVrNNJJQpnKtUJIHQajaQ2VDjs4dguNGmjKH6A3NFn0B3ASBO5cYWWx/AUEBCspRo7C8WU6MI1dAkjxRCFUgY6FsE7YpICcdwDMqic9psa3Vi5960LVl2KykiMyh5+J1uXZAHfzmJEofcQklDbvZrekWLLhWJzb1mtwrRtXs+p6aSJaIMGQnfEkohJEaEvdwYzlOSKYWonDjo2i5b7s0wTNdi0KBBTq8feughEUDijv79+4v+/DU1NSJ/ANfYaCkm4VopgEJeX9UD/ozTnrBIyDAMwzAMwzB+ojOYxLMsgkgpl7XpSVinc+lJaLL19o2QO7vHbO/p6MC8maSKyaesqR+GvA/2fDVMhEn4U7aqSbWJhLry1RSdM6PN+wgGQe+5zGPfE87HUFFG5VDOCT+I/ncS+soNVLH+GUoYcDlFZbXti201NpE8MoO0ySModfSjIulYnTCQjkQULSIh1kHpIBJCPEWvRkVkeicuHYnAG08OTZQGg0AcnFgffcU6Ie5KITM4zlF2nzjkJqcLYAjmECiNDYdCWofm6m1kMevF8WK1WkQ5O7WIy0j1ju93UUjTZximZ7B161bKysqyv/bkIgRwAqIPP0AIKgJKXnrpJXsvfjgC0atfoqyszO4uRG6DwWCg6upqJzchxkHWQmfBwSUMwzAMwzAM4yd6g81JqFEpnIQOe7qxS3CJ5CSMcCkxFT/EFVrSJI8Q7ipd+ZqwBIP422xcmzIaSqBwe7kj94QfRM+4cAiEkpNSkziElFGtF15Ws550pX+TscFWeuVKyphHKLHFuRbX9zxKGnITHam0OgnL3ZZ1QyTrTJBwbDE2uH3P2GATCRUO+84XCi1ETyuZdGX2YRCd0ZcTgp0rOTO/o5wZ31Kw6MrX0sH5p1DZP3cJgRBl0X3+tYN6zV5Dck0SVW15zS7YMwzDeCMmJoZiY2PtD28iobu/xeiZj5wLiIALFrQGhEEQhMtQEgARXoqAU8dxiouLafPmzSwSMgzDMAzDMMyR5CR0LDUGMVK6cUvysQSElcTBNwqBzB1Jg28SYl3IScfCMWWlCJl/JZWquL7U+6yNPgNJGg7NFz3zQgU96iBIWsytpcsyZaz9PXdEZ8+gqMwp1B1wLDd2V9bd6SKhwrNIaJKchNGBOAnT2vS29Jn+HIIgXbX5FdTFU+rYJ+x9EyHio5Q+YdB1IvW7drctURQ012ynml2fUHP1ViEqMgzDBMq9995LS5YsEX3+0ZsQffIXLVpE559/vjj/3HLLLfSf//xH9CmE8HfJJZdQZGQknXfeeeLzcXFxdPnll9Ntt91Gf/zxhwg8ueCCC0RmAEJGOwsuN3aDxcJ/KBimO8HfaYZhGCZc6Fp6EmqVzj+jY1uchHVNziIhSiyThv7b4/RUcb0pJu8Uqt8/l4oWXU4Jg64hbeqYgJfL0tI30N8wFAgpEcoot+8Z6vZQY+HvFJU9nUr+vlk4wLSpYykUGg7+RGUr76PM4z6gqIxjbMva0p/QYqxz68YQoqefQRldHYhmCItxLeSCWJs67imbs7MTkSmjPDo6RblxhLzFHegf0rgmnU0khDh84KdpFFtwJiUNvbXN+CjD1pevIXXiYCe3qT9A6GsqXkTRuSe5TfWO63s+1e350l723FD4O5X8faNwsoL4AZdTysj7A5onwzBMaWkpXXjhhcL9B8Fv6NChNH/+fJo+fbrYOHfeeSfpdDq67rrrREnxuHHj6LfffhNORYkXXniBFAoFzZkzR4yLtOP333+f5HLnG5EdCYuELvXkMpmMioqKKCUlRbzuzIaRDMOEBi4wYOsuLy8X3218pxmGYRgmFPQtTkKNi5PQU09Cf0gafpcQSRqLFzsFOgQCkn9BRACJySgjrT/4E0VnTRdipYS+Yj1VrH+SlLEFIl3Y0lIyHQqSW1DukG5sFwkNtlATRyzN1bT321EU1+9iSh3tvmH8kYQ6fgAVnP53m+HKyAyK6z2HOhup3Nhdw3y4HeF0DMTpJ/VYNOsrbdNoPCwe0nHqCvoXFi+5hlLHPUlxvf8V0LJXbX1TPCcMutbt+xDOc0/6WQjOtXu+EGK1XBVHyWMeo+baHRSV2bYfJsMwjC/eeecdr+/jXIrAE0+hJ0Cj0dArr7wiHl0FFgkdgIiA2nEowRAKGYbpHsDWnZubK77jDMMwDBOunoRuy411RiehpW7f91S99Q1KO/pp0iQNdTtNCEXZUz8ms6GWZG4CTvwBKckgQua/SGio30eV658SDitHkdCxBBZ9Ey2mJgoV9Et0FAbF/xXRotQa691m/JZ5dvdEWsdgj84ktmA2aVPGipJduAYdQa9AJHAHAnpt9p6zVRw/QAolUUbnuh1fFVNgGy/AhGOUM8OlGpk+mTSJgz2OB4EQxxTKkuHozDruA1LF2uYJUHJsaiwKqKSaYRimO8IioQtwGkFMMJlMZDbbfgQyDHPkAqs2LNzsCmYYhmHCgc7ovidhlMYm9BjNFjJZrKSU20RCs76MDLU7oOL5/puliiNzczWVLrmWtGnjKGHgVX4vF8IZbOnBbUMhPKFJHg75RJR50oDL24ZpaNNF4IrVFLqTUHILSn0IAf42p4x8kJQxeR5FQpk8kroL6IkHATm+7/n2YSgxN9TuooIzlnfqskXnnODxPTgIpXRmf4Hw6Sh+SgE5CodkZ0fE8AgZGQIUCeFYzD7+K78ctDJFpBAHZcoY0QPRkcIFZ5NJV0r5p/7VbUrcGYZhgoFFQjfgBwtSZvBgGIZhGIZhGAmd5CR06UmoUcqd3IZKrU1okBJV3aUbeyr7bCpZSlayBiQSoqTSUziKJ1D6q4rvR7qKtU7uR2NTsQhAgfAIkS5QF5lXJ6FDuTGI73+x2/GtpsaW8buPSFiz4wPhHHQUCeHajOjC62jSlZO+Yg1pkobbS4j9palkmRB7o7OPt4uEnpyEOH7h8DPW7wt4GbUpI/0eVxXb2/00UsdR9dbXSVe6giLTbcmjDMMwPRG+TcIwDMMwDMMwAfYkdHUSKuQyUshsIpu+xW0IrC39/CL8LCOG+0oZ25sMNTsC2icQI0V6sIeEWk9okkeJ5FdTU5GTcCXXpglHFUQVT8JOQMuH5YK7zM+eifZyY4X7cJUjNeG4bbpxCSm0nZtsLLkc930/gZqrt7npFXgtNZW07afoi/K1j1LF2kdby40jZKSMQniLexDyY6w/0BJa4xtd2SqqP/iLXYgPhdheZ4nnur1fhTwthmGYIxkWCRmGYRiGYRgmQCeh1qUnoWOYidS3EFhaSnWl3mz+oI7vL0Q7KezDH5qrNtL+H6ZQ7Z7ARA5tss2FpS9f2zosZRRFZ00T/0+f+CJlT/uEQiXjmLeo91nr27T/KP77Jtr3/cQ241skJ6Gi67rsghEJ4ahE0i/A/rWYGkgR1fkiIXpaQhx27Q8pko2FAzDwXn3oaQkRFKIfEr4zJr/htf+iOmkoqROOsrtOfVGz410qWXq9/VgJBVVsLyGYNxyaH9D3jmEYprvB5cYMwzAMwzAM4yd6oxRc4uwkBGqlnBr0JmpuGcfZSajxexur4vuLZ/Sqg2DnD1aLwV62GQja1LEUk3+6Uylp6hib+yucQBxEUrIrKL816SAkWZx6wUWmTaDck+aTQptG3QWFJkk8w00oi8qyB8QguKazQZk7cBXcTC2BI4qoIERCbZo4Li2GGlLH9xMPbyQPu8PvaeO4aSpeaiuDbtmu4XATlq1cQw0H51Fcn3PDMk2GYZgjDXYSMgzDMAzDMIyf6FrKjR17EEpIfQolIRHE9Tmf0ie8FJAjTh3XIhIGUHIsudP8LeeVUEbnUPqEF0ibOsbt+w2Fv1PF+mfs0w+WhsIFpHNwK0rIEWRitbQpk4ZoBUelXB1P3clJCKSS49YU6cB6/bWnSGg1NrZ1EkYoRIhNoEjrhTJ4m6PQEqalJdKVrxYuzMjMY8M2zei8k0kVP8Ae3BP8sq2lg/NPC3k6DMMwnQGLhAzDMAzDMAzjJygl1kToKFZW1eY9STh0FAk1SUMpJv9UkRDrL5qkYZQ67kmKzJjk92esQYqE9s9bTKIsVF+1iYr+uoZ0Zf+I4U3Fi6l662sB9zp0pXT5bVS58fk2w2UqW9qxxVjXJjDDULs7ZHGyK6GK60PRuSeRTBUnXmvTxlPeyQsoOttzsnBHIfV+dN3PEAnRRzBC1lYU94XkAm08/Cft+348VW990+v4FmMjVax7kur2fuNz2o2HF4rnqKypFC4Q5JN30i+UNPTWkKaD4xzl/xUbng3bsjEMw3QUXG7MMAzDMAzDMAE4Ce/LfZwSDtSQdcJepx57rT0JHYJLLCYod2168XlDrkmkuN7/CmiftIqEKgqUxqJFVLbqAVHuq04aTo2Fv1JswWynMmmrCBIJrqwTDjKITzKVc7IxkEsiIfrARTkHaVRtelGUHMNR2B2Izp4hHhIoDYdw2BVoLTd2FgkV2lSSwe0ZBMqYPFInDCJj02Hb6+gcr+Pj2K3e/rYQ/mJ7nel13KaiRSTXpooehl0NaVvqK9d39qIwDMMEDDsJGYZhGIZhGCYAkfBwc5b4v2vAAnoSujoJC/84V7iogsGsr/I76dUuEsoCdxJqU4+mqKxpZNJXUsOBH8QwRaTNBSaVSUtpw8Fgc6dZhVPLFUmAcg2LaA0u6T7pxo5gvzbX7iJD7R6/93F7ghTrzCnvUHTOSU7Ds477gDImvRLUNCPTxlPuifNIFVPgn0iIZO+oHDLW7fM6HoT3qJwZFN/3woDEd3/QV6yn0hV3UnP11qCngX6JAO7hUB24DMMwHQ07CRmGYRiGYRgmgHLjYkMGDY7aIgIZJCecY7mxU3CJSUcRssDdfeVrH6ea7W9TwRn/CDeXL2J7zxEBJIGUNUvIFBpKHf0wJQ27jer3fkPGhkN2h1ZESyqzzUkYHJKY6s6RBrEHbjMprEXCamzqdunGkmuzfM0jlDbuaarc/JIQpXqfvamzF0scx+Es3XUEPQmBMjrX57iq+H7UePgPspj04rh0B47xQEJOAsGkr6C6vV+RJmWUOC6DIevYd4So3t2OXYZhegbsJGQYhmEYhmEYP0m2bKVIuU3AMjdX++xJaDHrSNYitAWC5Lpqrtnu1/goFYaoEoxIKAGnX3z/Syhl1AP26bQ6CW0pzSGJhG7KjZHsi9AUR7HVNj/bNnaXiHwkI1fFkbF+vxALEVyC9Q+3Gy4Y4GbEPjY7uGN1FeuEWG2o2xP0dKs2v0J1e74gmTKGZCrfITSaxMGwxZKhZpvnZUUJfzuhirW5Hn25GX3BAiHDMEcqLBIyDMMwDMMw3QIRvtFS6hfc51vFPU/M1LxDE2OXif+bm2uc3tOoWtKNDY5OQr29r18gqOL6iWdDzU6/xkfZagMcWGEub0QZanTurNBShq0WUsX2sQdZOL9lFiElZkNtW5EwQhZ0EEtXRZ04lOTqRGosWijSb7tCsrHAaqE9Xw6isn/utg/Sl68RblaUvQeLFEKiiMr2SwxVJwy2zbt6i9v3IWTu/XYMVW54jtoD4XaMkJOhfm9Qnzc2FFLNjvfJUL9fJDAfXnS5+D/DMMyRAouEDMMwDMMwTLegZPltVLToMr/HbypZSjW7PhYJuod+O5NKV9zmdXxD3T5KUpRRnSmmNWzDR09Cq1kflJNQCutort3h1/j1+7+n4sVXkKmplMJJZPpE0ZMu2NJLgM/mzVpAcX3OafOeoW437ftuLNVsf89puNViEP0Iu4LLLpwgJTgy4xgy1GwXJdyKyEzqKssVIdeKhGEJY+Mh8ayIzg56uuhtCRdh9rRP/BpfnTSU4vtfSur4gW7f15WvEmX+7lyp4UD0RYz23RfRE/qKtaKcvLlqM1kM9dRUtJAaDv4c9uVkGIZpL1gkZBiGYRiGYY5Ymmt22t2DzdVbhPDnD/rKDXR44UXCkQRBCtNACai3Uka8D76smENxJ66nmPxTnN5315MQzieIL4EiVyeI9FZDjX8iocUipRu3v/MO5aehBDu4lt8Ci9FZcM069l3qdeZa6o5EZR5n/78iMoO6UiqvFBgDTA2FGEgKje+emJ5QaDNEubm/3wGFJolSRj1I2pRRbt/XldhcvNq0idReqGJ6kaHhQFBlzcaGA3ZHIgR29OFkkZBhmCMJFgkZhmEYhmGYIxL0USv5+yaq3v6OeC1SVCMUfqXFVm15VSTuwuGEXnxRmVPJYqgVTiBPNBT9SUargrY2DaJIbdteea09CVvFhdwTf6LUMY8GtX7quP7C0WS1WvxPNw6zSIgy5qK/rqGGwt/sww7OP40O/nKySEP2B135Gqrc9DIZG4vavCdr6UXoWm4MQumv2JWJzJhs/3+XKTcWImGUU2K3sfEwKSMzhcswWKxWScAPTFTGd9jd97ipdBnJ1AmkTnDvNAwHCABKGnJLUK0LDFJIS0weRchVFJU9Xdy8CLfDl2EYpr1gkZBhGIZhGIY5Immu2kiG2h1kajwsXsvgSrOayOrghnL7udpd1Fi4gKKybcm6QEp2bTy80O1n0CNPX7aCduv6kMmqIHPZnyLYwW25sUNPQlVsL1IGWa6ZNv45KjhztQgl6SyREM6yxsJfhVhon1fL9q3e8pr7zxgbxXZESjLQlf1DVZteIHNzW1FROMwiFG1KtxsOzaem0uXUHYFLNHv619R7zjaRSt1VkCmi7eXGEOiQSuxPIrHXaSptZcGBhJ+gj+G+b0dTc/Vmp+HoAYoy3sjUo/36TgQLHMKJR10XVJsAY/0BcR6SHLLS9nN37DMMw3RFWCRkGIZhGIZhjkjq9n4tniWhRd6SnurOleZI9dY3xHPioGvsw9SJg0muSRaBEu4wN1eRImk8bWgcRio5UdnSq6lmh3MfPY3KuSchnEhwUCGYIxgU2hSS+Sn6tZdIKKW0on+eRPLIB8Vz7a6PRVCDu5LLosWXU9nqh0XJpj3duEUwcgQ9B5Fs7FpuXLbyfqra9CJ1V1BOK9Ko21HsCqXcGCX4cf0uoOjcE0KaZsqohyh9wssU2+ss/5dDFSO+bxAEHdFVrBHu38j0SdRVsQmreU7bFDj2emQYhunKdJ2/SgzDMAzDMAzjJxaTnur3zyVV/AB7Iqpc3dLfzotIiB6BTcWLSZs2njTJI+zDIdag5BiOJ5OuzD4cIhdEPmVUNsmH/5eW1k0mpUpDEYpIsrimG7v0JMTnUJZbvfXNoParSV8hEovdlem6AoFUEZUlghfCSUSLmwrbTSJhwKWUNfVjISTVH5jb5jPmFlcgQhuaa3aIAAdPIqEYrop1k27cSBGKqLCuC+Od9IkvU97JC2z7RK6mlBH3Ulyf80LabHDjwZkXSACNOnGIeG6uck44js6aRvmnLqbo3JOoPcHxe2DeDCpf838BfQ5tAbQpoykyY5JTaXna0c+QMia/HZaUYRgm/HTPRh8MwzAMwzBMt6ax8DfhUIvtdbZdgIjKmibSYhXadK+iRf4pi8jcXN3mvcQhN1Py8LtIrkm099Ir++dukqnjKfv4L0nXIv5pVQohypkNriKhwtlJaNaL5wiFJqh11Fesp+K/rrSJDD6cWCmjHxKPcCM5CS3mVichQChD9vRvnIRWCcfSYX35KjK3uATR+9EdOTO/J5lDsIXVYm5JhW7b95FpP+Bc7Qrg+ytXJ5G+alOb90Itf/YHiNmmxmJqrtke0OdwoyFj0n+dhqnj+ooHwzDMkQI7CRmGYRiGYZgjDn31ZoqQqSgm/zT7MPQXjO11pl3k8wRKAJXROW2GK6MyxWfRj61m50dU+Ps5ZGwspMi08aLXoc5gsjsG0VfOVWh07UkoiYTB9DYDck2SeDb7GRDSHsAx6VhurK/aTPvmThZ947QpI906xBxLhyG0wkkYIdeIIAd3oH+b43uSIMkiYceCoJKm0hVkMTdT9bb/0aEFZ5OpqaSDl8JWgo7yf0PNdnt4CFy5aC8QbOl+oPNXxhaQoW5vu8+LYRimq8EiIcMwDMMwDHPEgVLI/NP/JkWLkOaIpzRghGGUr3nMq9CAnmK7P+tF5asfJGVUFuXM/I6Shv5blPFK4h+chHAXtik3tvckNDmV6EIgCwZp3dCfzRcQUGp2fkjhBkJs4pBb7SWeZl05mRoLyWq1bQv0Zaza/IrbcmOgL18t+u9F557sNUimoXCBcBACq7Td2EnYodTu/JAO/3EumXWlQgzGvhNhQJ2AOvEoUc5uqN0lXjcV/0WlK+6gppK/O2T+qpheYjsE0kuw/sBPVPz3zeLGgoS+cgPt/mKQPYGdYRimq8MiIcMwDMMwDHNEotAkO71GSMjuLwZQ9ba33I5fu/tzqtn1oUdHG2gqXiqetanjKOeEuaSOH2B/r1UklJMqtjcpY/LswhZQmysoRl5HzUabSGk128Qux1LaQJCrbY5Ikx9OQjgfg+196MtVlTTkJorOnuEkWMJJCer3/0A1uz5x/oxMKcq+taljyaQroZiC0yl9/LOel337u1T811X2gBMIkHCFQqRlOo7WkI0GET4j16YG7YINlbg+51LuSfNJFddPvJbEwcj0CR0yfzgJgaF+n9+f0ZWtpIYDP1BERGtHLwQJ4TyAbcowDHMkwD0JGYZhGIZhmCMKlLoa6nZT0tDbKUJmc+8BBF0g5dfV4QfMzTVCaECQAMpbPRHb5xzhYkJ4gmvyrM7YWm6cOvqRNp+1/D2DnsgnuuPQ6+K11WyAYhZ0T0KsD5x8/jgJrZbmsCcbu6NVJLS5HGXqBLLUbHMaJ77fheJRt+87MtYfFP3dEPziCWl/oExZro4nZWQG5Z44r13Xg2lLhMJBJKw/QKpO7KWH4wVl/3DI6ivXU2PhArE8Cm1qhzkJgbFuH2kSbcFIvoALGd9BiKsSModtyjAMcyTATkKGYRiGYRjmiKKh8DfRMw0CnCMQmIBroIj0GfQVjPGRjAphUJM0rI1ACHQtTkKNqu19dqQgOzoOIXBEZU2lPufsppj80wNYO8dliRDpzXJVrM9xIY62l0h4eOFFdPjPS8X/pT6MkpMQAp8QZk22/ouOoF9k/unLqGbHu1S19Q2P05dKWt2FyTAdh0xpS5M2NhWTxVAjnLKdCY7/qs0vUd3uTylCGUnxA67osHlr08dT1rRPKTJzit+fgbCKYBXHc4e0TZHWzTAMcyTATkKGYRiGYRjmiAI961DC6xqagVRSoggyG2rbfKbh4DyMQFHZ04Oer74luATlxvqqLdRw6GeKLTiLVLEFZNKVti4fyhRNFhFkYlvGtuEe/pJ7wly/xoNrsb36x5n0ZUIIBObmSqdQFaQ8A4hKMoUtVbpu/1yyNFdTfP9LhHiKXpCugq67VF2pVyR6FNbv/55ick8WZcdMx5YbN1dvEc+qDkgS9kX6xFdIoU0jRWSG25Cc9mxl4NrOwBs4ztGLMMpFVJQpWkTCAHobMgzDdCbsJGQYhmEYhmG6FCgNhhPPExazzm0JLxw8MlUsWVxEQjjUmkqWUWS691JjX+gcgksMtTupestr9mAF9A+Ua9NaxrRSs9HcInb92CEOOYh4snZyEsrkkfYQlvj+l1PG5NdbBFmUG7e4Nx3WEc4vKcyk8fAfLQvoeX9K5ZlmXZl4tm9bTpftUOBYhdCMUt/0Sa9RVM4J1Nlok0eI1PGOFAglcEwbG1pDSLxhaioWTmVltLP7Ev1P0TLAyuXGDMMcIbCTkGEYhmEYhukyNBT+TsV/XUnqhMEU1+8iisk7hWQugqDVpKcID2EgcLZBZHR1SGVO+Z/d1RMsUmoxUoylcluzwSaOIeCh1xkraNZ/foGMSXqjmUyH/6DK9U9Rzszv7eMHSmPRYtKVr6LEwTd6FQEjMyaRwkvfv1BAyrDV1CT+r47vJx4SKM2O7X2OvaxSSjeWKW0l0rqyVeLZULfH4/ThEkPQCbUIQRajbV6h7i8mMCLTJ1Hvs9bzZmuh8Pd/iRCd/FktQrcXcKwmj7yf1AlHtXkv+/gvSK6xhRB1JZACX3/gR9ImjyRldE5nLw7DMF0EFgkZhmEYhmGYLkP1tjdFWbChfi+VrbyHarb/j7KmfUaKlvJWYDE3eUxdzTjmDZIpItuk7UZlHhvysjk6CaUyW8lBh2fMByXGRrNFlCZHtfTp8yRo+kNT8RKq2fGOSHuVeUn7TZ/wIrUX2NaSkxDrCRdhhMx2GYHt6rptLYY6kreUakbnniCW39v2V8f1pYLTbem1wNrSv02mdN6PTMcAkd22j1tDgXoicAc31+zwb1xNIiUMuNzte5rk4dSVwHe4sfgvkYZuqNlGsb3nUNq4p2xBSzJlp7g2GYbpOrBIyDAMwzAMw3QJ9FWbSV++mmIKzqSUUQ+KNOLonBPaXLRGZ8+giAj3P2PV8QPa9ApD+Spcdv4EgPjTkxDpxkj1BVKScsWGZ0WZ7ayEE+iXsknCSRhptglrngRNf5AcSEgVVnoRCdsTOAlRSgkRYf+Px5E6fiBlH/+Zx/EhEqpibemw2pTRlDfrD6/pxm0+3+JaRLoz03FACK7f9x2VrbpP9JzsNXt1j9782AbotYlziCSKBwN6bSK4RBWTT50JWi5UbniG9JUbREsEBB0lDLyKEgZdK4Thor+upMi0CZQ09NZOXU6GYfzHYm6m5soNoicqqizwmwGO5lDcwSwSMgzDMAzDMF0CBBQkHnUDReeeKAS9mNwT3Y6XPPwuj9Mw66tEiIgqrp9wQqFX2MFfTqb4AZdTysj7w+ckVMc4lRubGg+L50mR82mdqo8QCSX3XYS8bf/EQNxMtvWyBYZ4ukgoXXEHRaYdTXF9zqNwA4dUbP5pZCWr6PfoWDppqN9PZavup9j8Myi215lCULGYGkRvSAlJMPRG3d6vReAM5iWJhKGIq0zgWC0GIRACUf7dw7F/95qr7eE6nqje9hbV7Hifso77iFRxvZ3eK156HRnr91Ov2bbS+87CrK8gk76SonNmUqRwAE+1rxe+c+hrWrX5ZTLpy0mTOIRUsX1IFdfXnhrPMEzXQVe+hmp2fkCNhb+R1WIULT5kcg2ZxY0NAymjcimuzzkU1/d8eyiVv7BIyDAMwzAMw3QJcMGaNOw2+2tj42FqLPqTIlOPJlVcH7+mUbnpRard9REVnLFSTM/UVBQ20UMnOQlVclGOGZ17EqkTh4ph0nxApKxJBJdYzfrwOQm9iISYT8OBH0WZdXuIhJqkoU7pw5J4IqEr+VuICmJZLEbh/tQkjwxoHrV7vhBCCkRCdVx/is47heSq4Po4MsHh2APSNYCjJyKVzCPR25dIiO8GbkhEKNRut2tXSDeOyT9VPNyBc0fmlLep8PdzqG73Z1RHNqdwTP5p9lYG6DUaqhubYZjQKVp8JemrNlJM3qmUddwH4neI4+8MY8NB0Q+4/sAPVL39HUob/xxFZUz2e/osEjIMwzAMwzCdjr5iHSljeztdhBpqd1P5qgcodewTdpEQzfaL/ryYtOkTKXHQNW2mI7leRMKxNoWMTSXitSIyPfRldHASIkk5Y9KrLctkFYKmRKS8SYwr16bYHI0hOQmT7OXGnhC9xIRjsX3SjbF+ECLN+rYiYWtvRlvZNS5UkH4cKAptKunL1wiRMSb/FPFgOhbHklplTG6P3/yOTkJfWIx14lkK7HEEoT5Ws46sFrPXPo9wBNfv/Ua4cHEDAueYcGFqKvF5DsR3MO/kBaJs0VC3m4y1u0nZct61GBvo0PxTSZs6TrSCcAwqYhimY4nMmCx+fyA93R3K6FzxgLu/uWanqK4IhPCdeYLg9ddfp6FDh1JsbKx4jB8/nn75BYlwnlm8eDGNGjWKNBoN9erVi954440OW16GYRiGYRgm/EAYKlpyDR36bbYQpCSkO+NS2a4Y19xMTSVLyVCz0+20ZKo48YySGwB3D1BGZoS8nCghBlqV84U+BEmk/6riB9qdhBg3edgdlHfyryH1M0Pyb1TOCeIHvyewTdpTJKze+hrt+XIQNZUuF68dk5rhqCSKEL3bQi01R580ya3IdC7sJCQR6NH7X9spMm28z+2FPpz4Hrgr65MpbMPQl9AbpoZCUe5d8veN9vYF4er1uu/7CVSz4z2f40LEVMXkUXTWNEoYdLV4FstubiZlTB7V7f1StG/QV20K2/IxDBMY8f0u8igQuqKO7xeQi7DTRcLs7Gx68sknafXq1eIxdepUOu2002jLli1ux9+3bx+ddNJJNHnyZFq3bh3de++9dNNNN9E333zT4cvOMAzDMAzDhAd9xVoy68pE6YxjSIkIzBAimK1Hnfi/1OfPQwmvq7NNEgkhtoWt3FhpE/0qN75AxUuus5caqxMGOYiEtnFDRRmVSZmTXxd9xHyJhDJZ+4iEUjqzJFxI7kbxnkwunE/oJwj0VVuoeOkN1FS6IqB5yLWp4tmsK6XKjc9T8d83h3ENmECBUNTTkcnV4uEPZkO9LRHajftPct35EgmNDi0Lmmu2U7iwiYNW0qSMDXoaSJfPPPY9Shn1kDinFv52lmgRIFG1+RUq/OM8MunKwrTUDMN4A+X/jUWL7a8bDs2ncNGpIuEpp5wiRL9+/fqJx+OPP07R0dG0YoX7HxVwDebm5tKLL75IAwcOpCuuuIIuu+wyevbZZzt82RmGYRiGYZhW4AAsWXYLHf7z0oA3i7GxRWSL7+c0vNVJ2CoSWqTE4BbhypOTUJQbt5TJUYSC5BrvPcUCKTdGT0LQXL2FGgoXCAdh77M3U9LQf1OZbChVmpKEk7Bm54dUve1/1N5YLe3rJJT2Q2T6JCo4fQVFZU11eh+9AyVRFr2QGg7OE6Jv4E5C9HYrI13ZStKVLA3b8jP+E5N/BkWmTyZ10vAev9ksJj01FP7ul2sO5cYylS3MyBXJXWj10ZfQsa+poWZHWLY/nLkNB34iTcoY0iQeFdK0IIDG97+Esqd/Jfo1lv1zN9Uf+Em8p6tYT7rS5VS9JfBWAwzDBE7J3zdR9fb/Ucnft4jfX+H8rdFlehKazWb66quvqLGxUZQdu2P58uU0Y8YMp2EzZ86kd955h4xGIymVyg5aWoZhGIZhGMaR+n3fUP3+ubbSU3Oz3w4cIPXLkYSiNk5Cx3Jjk/cwEHtPQoiDRJQ+/jlKG/uE115g/oAf4ZKTUCo3lqHs1mpL85UrY4RjaHXMY7R010EqMJipbs8XIrAgYeCVIc27bNWDsOxR6uiHPfZOSzjqetKkjKb2wL4fLAZSRDrvI5A45EaKkKmce7MFGHCAFNXo3FliXSAKS/NkOpb0Cc/zJm8BLQSK/7qSYvucS5qxtmAeT6SOeczpZoYj+G4mDsZ3xPu1qqnlZgloDpNIiPJgfG/j+wd+88ZbkFHuCT+KRGfJ4Zw+8UUqXDCHavd8RglHXecU9II+suHsr8gwDIkewbknzqPaPV9R5cbwmuY6XSTctGmTEAX1er1wEX733Xc0aJCtVMOVkpISSktz/mGC1yaTiSoqKigjo20ZSXNzs3hI1NfXt8NaMAzDMAzD9FyMTcVUvub/Wl5ZRUqtOr5/QE31gdylsT4cOJrkUaSIymrjJPRUbqxJGkF9ztntJAr627vHG80mC0ndEhFc4lja3FS0WIhi6F0muQzhJEQvxQhF8KElErry1UKwcHReWoz19m2MQILkYbdTeyEJsvqK9cJBpEka7tRnMbZgtv3/koNTcnT6iyZxMGVMesU2DVOjU9Iuw3QGMtxwiJB5TRZ3TQB3Ox0/b5hI5ca4+WCodd9zNZhAKJIpKTr7eAonSF1PHnF362tlDCUNuZWKl1wtxMOUkfeR1WKikuX/Jl3pCsqY/AZpUwJLPGcYxjPiJiURxfU+m8pXP0KGuj0ULjpd0u/fvz+tX79elBhfe+21dPHFF9PWrVs9ju/YpwZIza1dh0s88cQTFBcXZ394EiAZhmEYhmGY4LA0V5Nck0TxA6+k+P6XkSxAF1hEhFz84FVokp2G48IzZ8bXlDDgcqcEzuQR91Fk2gT305LJ7QIhHI01uz4WjftDRd/iIgRqpdwpwKNi/dNU9Ocl+GFKfXUf02mJ3wuREInAnsqiA70gdxQq9s+dSAd/PoE6Cml/Vm97kwoXnE1Wq63s2lOfJCB3k/LqL1ZjU8DHEMOEG7jf8B33liwuXY+iTB7nG48lv4d+dUpAdwfObRDgtcmjRKIy0pBDBQ5fTcJgny7GcBCVfTyp4gdQ7a5PyKSvoNKV91DDgR+F4+nwwvPENmAYJjzE5J4sQt9A8sh7nW7WdapIaDCFfuJSqVTUp08fGj16tBD0hg0bRi+99JLbcdPT04Wb0JGysjJSKBSUlNTaQNmRe+65h2pra+0PbwIkwzAMwzAMEzgI7Mg7+TdKGXEvpYx6gJTROQF9Hp/pfeZavy5kcSGdMPAK0iQP93jBXn/wF2oqWSYciuWrHqD6Az9Q2PoRKuUka7k5LZU2mxoPieANOBYTDWtoZPRaBydhGERCdZIoaYYI4ShESDfLm0r+pgM/n+TUxDycwM2Zd8oi4dJEOIOrMwoBLnu+GmoTSgzBlRuDkuW3U/kalG02crkx0yWQq5PJrK/wOg5cvvu+G0dlq+53+76+cj0VL7lGOOq8gTT0nJnfUfrEl6ngjH9CbpEAMia/Rjkzv6WOElWThtxCsb3OpMbDC6l+79cUmXkcZU//RrjC6/Z+5ZRezzBM8MT1Odf+mwnPKaMepE4pN169p5wWbS6izYeqqKxWJ77kuJPaJz2ORvZKppnDcygpJrSSCkzTsTzYEZQl//jjj07DfvvtNyEweupHqFarxUOirs72w4VhGIZhGIYJHbhdbO699nGqwKUneu4NvMKv8VFdUrridtKmjKaEQdeKYQptGJONW8qJxf+TR1HyiHupYt1/SNlSEm2Vx1Ck/KAQFa1mnT0ZOBQU6kTxDEdTBEU4iRMRyijhOjLUbPOZnhpKuTHSbhGQIrknXUH5M8JLIjOn2ITEIERCfcUaipCpKXHILaQIQ9AMw4TDxdtctcXrOGajd/esFFwi9Un1had+q0cC6FGIB67p4RCPzj1JrE/OjO/FucNT9R/DHIk88cQT9O2339L27dtJq9XShAkT6KmnnhLVshKXXHIJffDBB06fGzdunFNYL/Sv22+/nT777DPS6XQ0bdo0eu211yg7O9uv5UArkKayFbaKAxchPmWU+5sXIYuEy7aX0Dt/bKfGZhON6ZNCZ43vRckxGlIp5FSvM9D+8npat6+CPl2ym6YPy6aLj+1H8VG+ey/ce++9dOKJJ1JOTo7oFfj555/TokWLaP78+XYX4OHDh+nDDz8Ur6+55hr673//S//+97/pyiuvFEEmCC3BxmQYhmEYhmE6nsIFZ4mL37xZC8Tr4iXXiUb5mVPe9uvzaGpftfkV0iSPpKiMyW3er9v3rRDgJJEQLsGKNf9HqUc/RVEZx7idJnoFQrAyNRWL18qoMIiERrNTP0KAnoDKmHwhEioiM20DlbGklenJYGim6IKTSR0/MCxCBTDrq0RCaXy/S6hm5/tCmENYitXcvunGVrOBmmt3UHP1VlEO6YqspTejxVBD0VnTxCMYEFyDwIaEAZeFvMwMEw5UsX3IYqi33wxxhy/3rF0k9CLi43xVsf4Jis6eSdr0iaJMFzdHXJPEA+1l2li0iOJ6n0PKaP/EhnABMRCOQomOnj/DdASLFy+m66+/nsaMGSNyMu677z4RtIvq1aio1r66J5xwAr333ntO1bSO3HLLLcIMBz0MFbK33XYbzZo1i9asWUNyuXdHcdWWV6lyw3OkjO3V0rLFQYgPUpT3SyT87O/ddOX0gTS2b6q9vMKRKS3PFXV6+n7lPvp942EhJPqitLSULrzwQiouLhb9AocOHSoEwunTp4v3MfzgwYP28QsKCujnn3+mW2+9lV599VXKzMykl19+mc48s/UExDAMwzAMw3Qc6D0lBXhIrw01O1qcJL5/oOLOd9WmFymu7wVuRUK4UBxTQxGMYdKVtLlb7vQZVZy4cJdEQkVkGJ2ELf0IXRNJJSdhRIubyGKqE8nK4UCbPomSZSp7z8a4/hdTdP6p9sblkkgYSKJ0IJgNNXRo/qm2ebS4Gh2Ryq4xXijItWlkKfsn4HRshmkvUsdIgUyesYuEnpyELSE8SDr3hLHxENXt+ZKUUTkUmTGZylbeR9q0CSGJhE3FS6l6y6sUnXMiKanzRbrG4iVUtvIeShn5IEXnzOjsxWGYkJnfYm6TgBCYmpoqxL1jjmm9iYnKVrTOcwda4sH49tFHH9Hxx9sChj7++GNhpPv9999p5kxbgrgnana8R2lHP02xvc4K2x71SyR85fJJfk0sOVZDVxzv/91SbAxvvP/++22GTZkyhdauXev3PBiGYRiGYZj2AyKfKra3/bUqthfpy1eJ0liFxn3PaEeE4NfiInMHAiwcL65RwuurJE+uiqPmpuKwioRST0JHJ6FJX0kHfrJdxOMuvlgupS3VN8IUvhY32uQR4gGK/76ZtCmjKL7fRfb3pT6FKNVtDxz7KirdbEtJJDY319LhhReJEujMya8HPB/0mwR7vhhAScPvosRB14S03AzTEdjLjVUxPsqN6z1OQ7rZoIjKFK0bVHF9yFC7w6Oz15/EdkPdbuEqwjm5KyBXxZKp8TA112xnkZDp0tTX1zu1qXNtYecJCH4gMdH5ZhqqZSEexsfHCz3r8ccfF68BBEWj0SgciBIwww0ePJiWLVvmUyREzAhan4STkNONzRYr7SmppXqdLVmFYRiGYRiG6RlAvINoh2RjCemC1Fi3169pIFwEKCLd32WPgEjo6CQ02URCb4EgMnW8cBxCdFInDSO5S2pyKOnGWoeehNLFf0zeaRTXe45tYMJY+rV6BlmMOjq86HKq2/sNhQsEgzQc+IH05WvJ2FRsF0/RK7A9y41lclvSMPqLpY59rO376tZy4+banWRuKg1qPo5CsdWkD3p5GSZcQNCqWP8MNdfsDN5JqIwmZXSeuHnhCVNTi0jY0rZAFddf3OQwG2yig4SufA3t+XoY1e//wS+RUBGV1WV6HKri+grR0lDreVsyTFdg0KBBotJVeqD3oC9QPYG2eJMmTRICnwTa633yySe0cOFCeu6552jVqlU0depUew4HgnlRfpyQ4NzvNy0trU1orzviB1xGtbs+onASUHAJeP3XLVSQGkMnjMgVAuEdHy6nrYeqRYDJ/50zhobl+75jzDAMwzAMwxz5mJsrxbOjSKiMsYmEhvq9pE0d43MaJl2pvdTUHTK5lqwtwiCQ/o/hnoBQaUocQvH9L6PEwTdSOJB6EmocnIQoiUUwidlQ3Trv1An0YxXRUYnV1FS0UPQQDBVjYyEV/n6u3bGHku7930+g9En/pZjckykqaxoptOmkjM6l9kAE08jVdoHWFXVcX8o+/nOx75F0LIsfENR8ItMnUHTeqUIIlSltwiTDdCbG+gNUvfU1IXCp4/u5HScmb5YoEZYpbDcN3Lmh809d5H0+9rYFmfZ+p/AdonWDNnWsGGY21lPJ3zeR1awXfQu9gR6Kxrp9omS5q4DtgHMU1olhujJbt26lrCxbCxHgj4vwhhtuoI0bN9LSpUudhv/rX/+y/x/iIUJ38/LyaN68eTR79myP0/O3ZUvCwKuoaNFltP+HKaKHKrmEyGUe8wa1u5Nw6bYS6pVmu0vyz85SKqlporevm0JnjCug9//kLzzDMAzDMExPAeW2QOqV1x5Owqjs6RTbu/VHtqWl3DhCofE4zeRhd1DuCXNFqEe48NSTEE7KpuK/xEW57X2biGhpccKFI90Y4oOpsZCaqzeL11LvRgQqSCJdbMHp9t6A7QH6HjYV/UmG+v1tl08ZTdrUccIphe2BnpDBoE4YZHdkRrT0cWOYzgThIQDtEzyB8mCcA2Vezkm+kJyE0s0SVYvQjiAfifLVj4jxUkb/n89WDuhxiAApVVxrK4iugCq+Hxnq99lbJASK2VBH1dvf89rf0ROG2t0ifIlhfBETE0OxsbH2hy+R8MYbb6QffviB/vzzT5+JxBkZGUIk3LVrl3iNXoUGg4Gqq1tvNoKysjLhJvRF+eqHSFe6nJQxBaJPsUwV4/ToECdhbZOBEqJtG2nl7jKaPDCDspOi6YThOTR3ZdsfDQzDMAzDMEzXwGoxigtagHK15uotFNf/Erd95vwVdXJP/s0puEQZnUPpE18hdeIQv6ahiimgyMypHkXC+H4XOr2O63MeRaZPIrkmxet0IdKVrbxXNP6H0yd8PQndJw1KyafKpp10V/aTVGjIF69DEQ4kRGpqhBxKnRAMkQTt2OPMX8dBODDU7iJVjG3dHIG70awrs/ceCxYpARauI4bpbFqTxW03RNyBUmSIiNrkkR57Bdbs/Egkjcb3vcDt+1HiHJhhD+xRJwykyIwp9j6dSHmv3/cNRWYeJ0Ke9FWbRYlh6uhH3c4zQqaguH4Xi3NlV0IV148aCxeIm0hYR0/nbqxTRERbPxMCXRoO/iT+nzDg0oDmfWCeLRy173n7glp2hnEFf3shEH733Xei7yCCdn1RWVlJhw4dEmIhGDVqFCmVSlqwYAHNmTPHHuC7efNmevrpp31Or27fd5Qx+fWQQo5CdhJCIDxY3iBKjVfvKacRBbY7x3qjmWQhdzhkGIZhGIZh2gNjw0E68NPx1Hj4T/G6ofA3qt72FlVvDbwURQIXtHCxKbStgh1ESIhyqpg8v6YR2+tMyjr2HZIr/bvjDadiVOaxXtNv4RYpWXYz1e//jpqrbO67cDkJHYNLAH6cp45t7VekUsopR11IKYrisDkJcbEshEKIB0nD7E49i7FBPJeveoB2fd7P7uxsD5JH3COe5Wr3DqYDP06losVXeu3N5gu4i4r/uto2DXYSMl0AqZ+p1FrBHTU73qXDf5xLFrPnPpq1Oz+k2h0feD0Ppoy83/4a4mDWce9TdM5MIUSULr9NfPfSxj0lbgg0lSwVach1+9z3PFVGZVPq6IfFubIrAadwzozv7EFPnrbnvu/GUumKO6mpdIVYf4mUUQ+KZ135yoDma2w8HMJSM4x7rr/+epFE/Omnnwr3IXoI4qHT2SoeGhoa6Pbbb6fly5fT/v37hZB4yimnUHJyMp1xxhliHPQ8vPzyy+m2226jP/74g9atW0cXXHABDRkyxJ527A04+NHzNJwELOvNGJZNj3+zlq5+Y7E4QY3sZTtx7iiqoZwk930YGIZhGIZhmM7D3FxNh/+8hIwNKEGzlXmljX/O/l6w4MILJVxwKDpitVpEHz2pBDcUand9SocWnC1CO8TyGurs4pgnDPUHqLHwt7AlG0s3xF17EoLonBMors859teaSFvz8XhFjc+AlUCQ3Jrx/S+xlxDZnYQWA154FU5DRTpO5Grn5uoSMlW8EIgzJr9JMfmnBDUPx+XXtKQ5M0xnIgTvCIVXJ6EtuCTCHmTkDiR+Sy7ZQLGamiim4EzRg1S6IQNHIr5zVVteb3P+7cqgJ6EmebjTdx1/LyrWPyVCYgDaJsjVyVS39yshvh6aP4sqNjwr3sP6w6WuL1spPucvKMdkmHDz+uuvi0TjY489VjgDpccXX3xhO5blctq0aROddtpp1K9fP7r44ovFM0RDiIoSL7zwAp1++unCSThx4kSKjIykH3/8UXzeF4lDbqHKTS947BncIeXGF07pR/kpMVRep6PJgzJIpbAtuCwiguZM7Fo9DxiGYRiGYRiikuW3k7F+H6WMekiIWq2hGxp7X7tgqNn2NtXsfJ8KTl/uVC5cuf5pqt72JuXNWkiqWO/lN0V/XUPa5BGUMMjmIHMFCZ/68tW2C3FtKpUsu0Vc8PX51zaP03RMEQ2bSOij3FhCG2UT0erMsZQ39GJRkh0OsH0hVERnHy8CDIAklkr9vdor3RhIaaqOITWOQDyE2yo6Z0ZI80HjdStZndypDNNZwBQT22s2qWI9X+eajXVCIHRXHiuBNgFGo/s+rbihguAB3ABAO4U2n1VGUfr4Z12GRVPCgMuocuPz1Fj0J0VnO3/viv66WpwPMia+TF0NW2uCcnu5cdk/91Dd3i9FeEvGxJfENsDDULeXanZ+QHV7v6bmLa+KUBcMR//Tmu1vi9YHCHjxh+i8U6j+4C9QdIW46G1fMYy/OLpc3aHVaunXX3/1OR2NRkOvvPKKeARK7c73yVh/kPZ+O0Y4iNFqwJHcE23l+e0iEj7x7Tqa0D+NRvdJEeKgK9OHeW/QyDAMwzAMw3QO+sp1pEkaIS5CHUEJq8UIF0zwF3uOzf0llC2lxkg49iYS4s53Y+GvXvv2RbT0prOYmuzpxr7ceY4BHoqojHYtN24zb2UMma0yqjfHkCz/clLHhae3XvKwO+2OIQgOvc5aby/JRagI4aI3IuD7/wEHK8g8lIVDmDXUbHfqexkMOCb1VZs6tM8iw3gDJb7ewI0WT98LR6EPTkJ3x7VJOLJ32cOO/AWtB4CryxHzwI2UcN2gCDeHF14ggkcKTltC+op1QiBE78S0o59u01oidfQjlDT0NiGERmUeJ4Zr044WIqGudIXfIiFuiqGtBcN0N6JcbhCEA79/SeQkRdGXy/bQM3M30JC8RBrfL42O7pdGqXHhKaFgGIZhGIZh2gersdFtmSgubKWSVXfoylaRvnI9RefNchtuAucYyvFcG+c7JRxnTfOdbKx1H1oilrFFEJREQqQby3z0+ZO1g5NQ1+IkdE03dgUCgN4SSZGyJnuJcjhAiZ7jPBzdkhAJI2TqdhXV8k7+nUy6Eo/zkKnjRdnz7s/7UdbUj4IOTNBXrBXPhtqdfgsADNOZwOUs9Qz1hBD0rRaymvVtbnLAQQfglAsEqWRX3CRwAAFCOK/DldsVUcX1p4YDPwgndNWWV0WpdvKoBz22S0AQUmz+afbX2tSxIhxLmzber/mZmkrJULeLNMmjwxIkxTBdATht8VsracjNnScSXjCln3igzHjFzlJavqOU3lqwjfJSooVYCNGwT0brjxWGYRiGYRgmPEBMq9v/vSi7hTskaei//f4sSqs0qWNInXhUm/cyJ7/htUS1dvcnVL9/LunK/qHMKW+3eR8OFrnW1p/aEWVML/uPWG+YdKXiWRGZ5tNJCAeh7RkX2d4v9BwFNE9BG4Gib3ES+hIJwbzGC6mvbDkZlp5EzVPfIXV8Pwo3uvI1QpSLTBsvntuz1Bio4nqLhz/b3JeryhvpE16iml0fidRrhukK1Ox4XwQ9ZR77nlshC6W/8pYUYk9oUkbanMBWs0eXriIyMJEQ59m0o58lTVLrDQRgqNstnr19XzsTiP8NB2wtDBoP/yFaYCAAy1/g1g4ksb7h0C9UvuYRiu01Rzjnk0feJ8oyGeZI5uAvs0gRlUnRWccLN6E2ZWTYph1wTUJKrJZOGZ0vHk3NJlq1u4yW7yyluz7+hyLVChrXN5Vmjcqj/NTgfxwwDMMwDMMwrVRvf0eUVwFjQ6FHkVBXvla4URz7A6L3UvbUj92Or4rz4TRpKRuVXHzuREJ3KZVIBIVQZKz3IRK2OAnlXp2ELeXG5pZyYzgJfYhQEYooisk/TThOwuWua2y2iYSRGt8/n/dbx1GMYR9F6Ne3W++rspX3CXEw/5SFlDbuyaBDEcJF8vC7hZuxZsc7Qacbg5j8U8WDYbpSMjzKd83NVSRz40zOPfFHn9NA0Age7jA1FgflekbfTqQiu4IwKaDssk5C202T2r1fUoRMRQlH3RDwNFBSbazbQzJ1Aik89EmVaEJoSYRcJEZX7f2SEgZexSIhc8TT66x11FS8hBoPL6DiJejpbKWozGkUlX08RWYcE1KQWUiNSyAKTjkqUzzMFittPFApXIbbDlezSMgwDMMwDBMGzIZaqt39mSjRUsX3o4YDP5JZX0VyTWKbi6aixZeL8pOcGd/4NW2TrpzM+nIx7QiZ3G2ZMnCXJgyHIpwx7i7QIMxBPJTK6DzPv6Xc2EHUdAVJliljHiN1wlH2Poa+XDuYf/qEFymcNDbb+gFGq33324PbUGu1OR99uR6DBQnHxvr94v/K6Jx2mUdAy4Oea2ZdG1chwxzpSD1XxU2RMLUvcMTYVCTEMk+hQIGCNhCgPZY1HEhtBLTJIylryrtt/pb5Q1PRn+LvXcroRyi+30Uex7NazKJ3oSZxKMlb/s54uukVDIa6PWJ6msQhYZsmw/gDREAEmeGB339o1dF4+HcRHFfy980UmT6RorKnU1TWVFJo2lZ8hEUkNJjMVF6nFz0IV+8up+EFSU6Nm+WyCBpRkCweDMMwDMMwTHio3fkRWU2NlDDoGrKamoRIqCtf3SZFFinAFkMNNddsFw3wpd5LcOtVbnqJonNmUlTmsU6fqdz0AtXt/ox6nbnWbc9CCJTSNFyBQ6732RvERZg7so5932efrsjUcURDbyNVTL7HcVQxeeIhkXvSL6K3V0fToLc5CaM1vkXCmZr/Uf/Iv8T/kSDdHiC8RBJvDXX7KEKu7FR3DEJs6vd9a1s2FVcUMd0HSbxzDQgRwwx14hyqSRlN2pRRHqfRVLKUanZ+LPqHSam+EkmDbyRjrzMDdh0bm4rpwI/HUVy/iyhlxL324TF5p4q2FOHqxxpuFFFZom8swkuCEQgBtjd6GUIA9CYSNldvFiXG2vQJra70lptfoVK39xsqXXG7SFvOPA4pzF8JsTeu95ywTJ9h/AU3RnH+wSN5+F3iNwEEQySDl696QJTYe/ueBC0SPjt3Ay3bUUrnTOxNa/dV0B+bDtP9Z4Wv7plhGIZhGIZxBq459MPCRRV6MEnOMV3ZyjYiYXP1FvEMIdHcXEEyhU0wMunKqG7P5yJx2FUkRG8nMR9jvXuRsLna9qwvJ4u52W35ijsHomvCsCc0ySPEIxB8lZa1B0azhZpbQkii/BAJrbJWYdBXyEqwQIhDCALcnEWLLhF90XJPnEedhb5yg1geEEq6McN0NaS+ppJDz7WvasX6Jylx8M1eRULcaEGSe2zvs9uIhOI8SIGdB6XvGUJL0KfVtY2Ez1YSnQjE0F6zV1OELPiiRoSZwF2OfrnektAhzgK4qqSQrnC0ZsDfw8oNzwoBOXHILRQRIafqza+KlPnYgjM9/l1kmHD+PpSC3VxRxRaQKvZKShh4pfgdZ26uCWjaft+uqNcbKT1eS/+a1Ieeu3g8Ha7q3L4nDMMwDMMw3Z2mkiXiwjS+/6XigkoZ21tcsOrKV7YZt7l6m/3/jk4JqbRKclE4Ijn94IZxh+NFL5yKjhgbDlHtnq/I2Fjo9rNwIdYf+MlpuYIt59rz9Qiq2vyKcC02la4gQ/0B6kga9bZSY6ndji/MslYnXbs5CZXR4tliqBcXrOgH2JnIVTZROLbPeZ26HAzTfk7CKrfJxsCXaxp9Uh1bODhiNRuE0BUocK2Jz1ua207Pg8O7qxCKQCihTRsn+kQ2V22yD8N2LFv9EDWV/C1eR2fPFNtekzzSljAdJpGwbs8Xol1GwsBrKDLtaLE+sb3niBCapmKbi5xh2pM9Xw+jQwvOpsqNz4u+m/gd4A7cAIZo2C4ioUIuo8mDMkgplwmlPtqPps0MwzAMwzBM8MApgfRKXOgA/AZLHfcfSh3zWJtxJSdhW5HQ9n/pAskRKQBEcli4kjrmUSo44x/KP20JKaNy2qTrlv1zJzVXbXb7WYiKJX/fSA0Hf/a4fgfmzaTiJdeSrwthlFFDyMS6HP7jXKre+jp1JI0tpcYQCNFixxdWhU0wKIn9V7s5ShTadFJG55HF0twh6cb+ioSKlv5tDNNdUMbkU/KIe0mbdrRnkdBHmBJ6dorxTW37u+77frw4rwWK9J2Hm9CR0n/uot2f9/EoGnQXUFaNkuPy1Q/ZRVG4NWt3fijKLIEiKptypn8pXPBw0ycOvok0CYNDmi+2a/WW14V4HNf3fPtwuESxPLV7Pnfq3Wuo20sNh+ZT5aaXqWL9U+JGF8OECgLL0IMaKeGH/zif9n49nAr/OE8cZ7qyVbY09SDxW+k77qhMmjoky96fMDvJdveSYRiGYRiGaR+UUVmkdEmvjM52LjNupVW8crwQtRptTsIId07ClhRa6ULXHUiEdIdUeockY7fLHo0+gxFk8JBwLF08+QrdiGgpp7GadPZy1vYq4fVEgxRa4kepMbDKbYJBtWJQuy1T0pCbxEPMD07CThYJZWpbWInewdXDMN0BtDhA2Z503nLsHWg21tnLX331EPXUD89i1gf1/bU7CV3EQOm19H53RZM0lOIHXmH722Axir8P5Wv+T/xdg6gL0JsX/RkBerYmDb015PkiURYuwuQR9zmVe2L6kRlTqPHwH2RqKhUuftwoc7yBJ5ZJFSfchwwTCrEFs8VD6k+qK1kmWtFAIK/a/JKoYtAmj6KsqR+2n0goCYRApZDTzSdzgg/DMAzDMEx7YrWY3JZlwVVn1iGVuLd9WOYxb4g7yiXLbvbgJHRXbhwjeiiht02beTRXU9mq+ykqa7robwVhznF+UhN/qV9Xm2krNKKXIoRAd4jPW00+m+vbm82bmuzLKQmHHUVDS7lxlB+lxgKk++qIIgxte5i1B11BJJQSjZuKF3fqcjBMe4EL8aJFl1Lq6EdEWEUg5cb29gBuy42D+/7CWY7PWcwGp+Gi/YBc7bFPX3ciefg99vUsX/u4cLCnjHmUFNqUdpsn0mRzZs4lVVzfNu/F9TmHmooXiRAT/L1qrt4qWjBok0eI8SFg4lyJ46Bm5wdiWHT29HZbVqZnoIzMEDeUY3udKUJLECKG46up1FZ2HyhB1QzDSbi3tJ5qGpvJtX3C+P5pQS0IwzAMwzAM40zx0htIV7qMep213u5egZNl/w9TRJlJzoxvnMaXa1OEa8LR3QCBD+mX7hx7UZnHUZ9zdru9mDTpykWpsEKbRqXLb6WYXmdR+tHP2N836yts8/QSJKKKKSBd+ao27hsp6EKME9vL62639fSLIKsZTkJdu/b581Vu7K+TUB85gkw1cspv/JiIQneueOrV2HDoV4rKmgqVodNFQoQo4OJcHdevU5eDYdoLY/0BMjYUUuHCCynr2HcpMn2ScFpHpk/26LiWwPsi3MTFQSZKAsX3N7hzWvb0r+wCvX2aXaBHaUch/e0y1O6hmu1vkzpxKMX1dl+6jTT4Q7+dSVFZ0yh5+J0huxjdgfMxzoMxubNEiTnmpU1pG/aK/pZVW14V7kOME2iyNcNIGBsOip6ESPpGkA/6FGtSRlLCoKvtNzPaXSRctbuMnpm7geqanO9YAHxHf7n/5KAWhGEYhmEYhnEGQpzNEdJ6AYH/a5NHUmPxX8JdB6ddQ+HvoqQpvu+FbRJutSmjxcMd3i5M0AcQQFxEvy1TY5HT+yZ9pShn89aLSxnbS4SvwN2B0mlHJMdZZMYxXnc7lhHOQbgyUFYGPCX6tbuT0E+RUKGOpSpjIqnUbftAhlMkrNzwDCki06nPuXuE0NDZxPe9oLMXgWHaDZSIor/dwV9mUe3uz4RIGJ0zUzx8gbT3pKG3tBluLw0OUuTXJLat7kOQSYSiY2+kdDaNRQtFS43UsY957AOLbWyo3Umq+P5Bz6dyw3OiRyUcW27nIVM6nQfdCYRArkkUf6+rt70p+hXG5J4U9DIxPZOS5bcJYRDitwa/81LHUHy/i4RQHmov5IBFwlfnb6FjBmXQ+ZP7UkJ0z7hDwTAMwzAMEwr1B+eR1aT3eGHhTSR01/MvMnOKuCiq3f0FJQy4lBoO/SLKS/ADMRBQltZYuIAUkZltLmbMzTaRUKaKF++bGg87vS+ciUh19FLShgtYQ+pYu7jnCNInFVE5pIzx7iQEWcd9QHJVApkNNSRTJ9hL9zo63djf4D6MlqoqJ501+MbhvmgNnWmwib3sRGGYdgdObVX8AOHYQZJuqCW9UriILEgnIUqgyWImZXS2fRj+1vQUJ6EEekbG9b3A6w0kCHi4seUuYdof8DexausbFJkxOeC/5e6IH3gl1ez8kKo2vUzROSewm5AJiPp935EiKpMSj7qOtOkTRdBduFoMBCwS1jYaaPa4AhYIGYZhGIZh3PQKJItJuASchuvKqXLTixSdN0ukLPqLSV8hehm5EttrDlVteY2qt75Kcb3niL5HEPIgFFWsf4Y0ySNE3yRQteV1aiz6kzKnvN2muT5ScdFYPbbX2W1FwhYnIVJr0VtQV7LUqWw4dfTDPpcfF1KeLqZyZn5HxoZDfv2odXRC9j5zLXU0kpPQ33JjrdJieybbNmxPkdCkK6P6Az+J3lbqEBwyDMP47yis2fEeGev2inOroW43pY59wue57OD8U4WLzbFtA0qF82YttKcfB8rhhRdSRISc8k7+1T4sc8r/xLm9p+GPwzxCGWXv0xsoDYW/iT664XL9IRAnrt8FVLPtf6J1REzuiWGZLtMzyDt5ATWVrRBuwurt7whXsqgcSRtH2tSjSZ04OGjhOeBPTRqYThsPdEwTZoZhGIZhmCOJ4iXX0d7vxglhzmox24M2kF5pMdSSrnS539Oyldc2uu35h1CQxME3ivCP6m1vkaF2t3C44Edi9dbXRImvBC5g9eWr3AagyBS4MI0gs7G+7fwlkVAdT8qoTHHRKfUhDAe4ONYkDvbbwSEcM51EY7OtJ2GU2j+RUK2yXfA3Wb2HGYRDJDTW7RFCb/3+ue02L4ZhWsEFuCq2j0h4R9sE9G7152aHqalI9DV0BOdlVWyBz56GnsBNJ9d0Y7QgUEbn8i5zt70UEAmbgto22M8kU1JUGINGEgZeJcqk63Z/FrZpMj0DVVxviu97PmVMeoV6zV5J2TO+psis40S/56LFV9Der4fT4UWXd4yT8PoTB9PjX6+hzQerKT81hhRy5xPi6WMLgloQhmEYhmGYIxE4uWSqOHGxhmRDY8MBqtzwtEg4hFMu4ajrRXph5fqnqKFwAUVlHuvXdO3pwW7KjUFcr7NFqTCRVbgbbIElNnHK8SLI9n+kYLZ1WeAuM0p3pYRORzRJwylh0HWkiMoWzdXl2jSReIyLWUyzfM2jFJU5RZRJeaNiw7OYOyUNu80+zOZ860Pq+AF+bYvDiy4hs66MMo99n3TlK0Wjd6T5dXxPQv9+OqtVcnrgwP9RZnIKPd9OyySVXKM3JEAZHcMw7Q9EouicGXb3uLe+rI7IFNGiPYAjOJcijRTCHpxlgYKyYqu5ymkYnOURiihSxeQFPL0eIRK67AN/b1ShRQZKjV2DYkJBoUkW7TTUCf7dMGMYT6jj+orKD7kyTvwmbTjwk/gd2iEi4Z+bD9PqPRWkVspsjkIHjRD/ZZGQYRiGYZieRMmyf1Nz1UbqddYGismbRVFZx1PF+ieodueHdieeKra3CPGAqGcd86hfJSCKyDTKm/WHCO1wR4RcRVnHvU+1e74Ur0U/mpZxrQ4XQei/hAsjT04XmSqWLG6chNrUseIB4gdeJZLyHJOP6/Z8Li6WfImEjYcXChelJBKiB1fpijtESXT2tE99bgexjIpIMpqaRB+w8tUP2rZnB4qErT0J/XMSapQKqjYlUpSx/cID5MoYisycKkrbhVO0k9ONGaan4HgutRjrSKbyUyRUthWoDDU76NBvsyl5xD3CVRbwssjVZLE4OwkLfz9XlBpmT/sk4Ol1d5JH3tuiWnRuqbGndhpWi8mt659hPLWkEanGpStE6bGxfp/ovalJGkbx/S9rk6buLwEfgR/8uZMuOrYf/Wtib5KFqTEiwzAMwzDMkQrSEpUxBfYLR5QCp45+RIhnFkO93XESnT2Dqre+Qc2VG4RA5gv80FPF+g71UMUUUFyf80mdNKQlCRgXoo1OTpUIZaTHz8MFg+X0uiwuv/mksmN3pdBtli+2FzUcnCfKp9EzSle2kqxmvc9UY6dllGtF+InVrAupyX/o5cZ+BpeobMmCzcb2SxwWIvGx75CufDXV7/2aRUKG6UBww6JmxwdkrN9PmpQxfn1GnJubSt0GlwQbNILzgGu5sUg35psGbony8+8OQmkaD/9OyqgsUsUPFJ9LHnFfWEuNnednofJVD5Kx8TBlHvtu2AIomO7LgZ+mk6F+L0VEKEidNFT85oxMGy+SjgPpfR0WkdBottCUQRksEDIMwzAM0+NBCZJZX+5W8MKPNUeismdQzfZ3qbl2t18ioamplMyGaiFAevvBp00dIx5ObhWHxuz4P5x4nlDHDyRzs3O5Gij++2ZR4pt9/GfiQrZuzxeiJA5ip69SaEckoRMX0+qEgaKHF4jKmEL+gp5N6IkouXA8uSu7SnBJdEvvwjqdMSwJqN6QBAIWBRim40CZP1LlgWsglNcbMi6ubfv3VxHcjQ987x1FQpxv8JrPB+4R28diEO0ZvJ2X6/Z+RWX/3CX+j5YbOdO/ooSBV1B7gRt86F2M8tDGwl+dHPooRy/9506KTJtAsX3O6VAXPdN1gWCdnHY0aVPG+BXa064i4fRh2bR4azGdO6lPWBeEYRiGYRjmSMNQu8veC8YXKP/odeYaey85X9Tt/ZIqNz5POSf8RJrEo/xeppjcU5zK35KG3CxKmDyRPuF5j+sG9x7AnWp7D0IhEvrvJFTG2ERC3PFGAm9j0SLR31DlZz9CIImcZr1NzHTXX7E9adS3OAn9FAkTY9R2J2GTweR34EmgVKx/mppKlooQBbk6oV3mwTBMW6RWDCDazxLUxKOuJ0vf851uHFhDdBKmT3xFpBtLSKnGoTqJuisQ2+C87j1ni7j55KmEs2Ldf0iuSaGY3JNJX7VJ/M1qb5JH3E0NB36k2l2fOImEtbs+In35avGo2vIqRWUeR0nD7iB1fL92Xyam65I8/M52m3bAIqHFYqWvlu2hNXvKqSAthhQy5546V88YFM7lYxiGYRiG6bIY6mwiIcQvX4hSYD8FQulCRWpsHggpo+53eu2rZ6AnkG4sb0ncjJDJSRGZQcbGooCXze4krNtLFeueFGm8cX0vDMhdJzkHkSYKvDkju4KTUKtSUKRaQU3NJqqsb243kRACIVygBactbZfpMwzjHpz7cN6Huzkm/wy/NpM2ZWSbYZJIiDYVweAqBrKz2Nf2sv0tQUsOT39HKtY+Lvropk/6rxAJO/KYQlVCY9FC8TcWr0XZc/FiUkbnUfLI+4WA2Hj4D0pqEYgMdXuoaNEV4oYdKhSSh98t/l4z3ZuqLa9TfP9L/HIQ6ivWidC5qKyp7ScS7iuro97pNkv1/jJnuzTXzjMMwzAM05MwNhz2WySUkjBrtr9Dypg8ii2Y7X1cu1svkdqTxqLF1FSyhBIH3+iU2ohSalVcq1MBvZmQmgni+10kLlQgHPojEiYMvFr07VJGZ4ty6IRB1wa0jMnD7qDkYbdT7e7PxMVTuEtrvGEyW0jf0lvQ33RjkBitFiJhVYOecpP9F4cDAeWLxvoD7TJthmG8o00dR7W7PiZT4yFSRuf63FytpcAodbUZbaxWI+6CBO0kbK7ZIcIKIjOPE4KhVGoc0cF9W48U8PcH2FpypLjdR2iLYbUYKTon/CElvojJO0X0Qmw4+LP4Owt9JfeEeWRsPCQqFqKzjxd/mxE4JpYX+1uhEU59fcUaUkZlUnz/Szt8uZmOBZUe++ZOpJickygq+3hSJw6xp6OjcgTvi37F+78nk66M0sc/F9D0AxYJn7nIub8OwzAMwzBMTyV5+B2UMPBK+w92X+DirXrb/0iTMtIPkbCSZKp4EWASCFVbXhPhIEg+tlrMtOerIeLCI+3op9yOrytfJYTLuN7n2EVC9CBESAiSmSUUUZmkK1tBZmO9GJ49/Uu/StpQXo0yKomkobcGtD6OF3bY1nh0RmhJIMElIClGQ4WVjVRV7xwqEE5sPc7qqHLjixTba7ZfQgXDMOFBEZUlnuHuQjqxLyo3PEvVW1+jvFP+JFVMvhiGvwN4QJwKhro9X1LNjnep4PTlJItMJ4U2hfr8a3tQ0+oJyBS2vyVWU5Pb9yHKIWW6vXvJegKCD9ppNFdtsQ+Dy9SxpYnj32V1wiDKO+kXEVB2YN5MqtjwrOh/jJt6TPclfcLz1Fy9jWp2fUQly26x9TqNkItem1LAmzrhKIrrcw7FFJwZcPsBztdmGIZhGIYJAccf7L7ADzW4CI31B32OK5UbBeMsQTiI1WwQ/alsPxg9X4BKTfch/klYmmtsy6tyEAlbXIMN+3+kuL7ndWjPK2NTMRlqdpAmcWi7Oys9lRpHqhQkd2mz442kaNv2qazXt9uySf0tqza/RNq0cSwSMkwHAscWnFxxfc7za3yppNidQBWsIAVXomNKMuNje7WIhFIIliO2m2PN4m9iZ1VIogQ6/9RFpNCmCjcjbgDF5M0S7kZfn0sd8xgVLbqEytc+RpmTXyeTrpyqt7wmbvB19M01pv3BMZE29j+UOuZxMtRsI2NjIVlNzSTXJJA6flBIv5X8EglfmrdJBJWkxvku7Vi0pUj0LZw6hNVrhmEYhmG6L7jIqD/woyg5k/ru+YMyKluEd6AkJELm5aeYxUjyINwAjuVUuMgAnhq028a3hZxYDHWtw1SxlHHMW05uBNyRhqsxOq/jejRJNBX9SWUr76PIjCnCOdGeDbtdaWwRCQMpNZachKCyof0u3uUt+w4EW67IMExw4EYJgqH8RQpcsphabxyghUNz7S4RRuFvSrLTNFu+91IvQoQ7NRb9SeqkoX4FavU0Wv8+thVq9eVr6PDC8yllzKMU3/cC6iwgEIKmkmXCeYoKBF8iIUCwWNLwu0S4mL5yIx3+43yymBqEuyyu7wUd2qaD6TggaON3ER7hwq9fO/GRKrr6zb9oUHYCHd0vjfplxlFStIZUChnV6410sLyBthyqEgJhcoyGbj55SNgWkGEYhmEYpisCx17ZynvFj/LEQdf4/TlldA6sJGTSlQjB0BP5py4W5cKBIjVjR2N2SSSUSqzcjt9yYSrKVezT0FJ09nTn5Y7KDuiCOJxEyG3rBIdkc822DhUJG1qSjf0NLZFIlETCdnQSRmZOodrdnwrHKC4kGYbpukgBTFI5IGg4+AtVbfkv5Z28IDiRsOV7b7XYREJD/X4qXXE7JY+4l0VCN0TnzCRtyhi3/XRNTUVOIl1nUn9wHpUsvUH8H05Cf5F+i6CSQJMyWvwtbzj0i2hBAhGRYcImEl58XH86bWw+zV93iOatOUCvza9vk+A2oiCZbp01lEb1btsAlGEYhmEYpruBxtCBhJZIKFqEQWNDoVeREASTUihTRDs4CW0Cl0zph5PQ2OokxAWGYylbZ+OYQimlU3a8kzAwkVAqN65qRydhVOaxlDDoaqra/EqHln8zDBM4spYwEYupVSS0mG03EYINGrGLhC1OQkks5OAS96DvrmNAlyPGxhaRMLLzKyIbDv1mL48OpFJBAn+7s457T9zMhEiIG2wsEjL+4nfdRHyUms6Z1Ec80JultEZHBpOZYiNVlJkQycnGDMMwDMP0SJEw0JIubfIIiu9/udd+g6amUmosWhhwKbNTOZWxUTgWxTAv5cYQKmMKEHqRZx9Wt/87Kvvnbso89v0ucWEhOXBs/+/Y1M6GZptIGB1AaElHOQkdxQF2EjJM10Zq+2BtEQbD8f2VqxNIiRCUCNsNJWtLKTOfD9yDUm9j/V6Sq5NIEZnm9J6pqVg8K924DDua2PzTqeHAD5Qw4LKQpqOK60fqpGH2m4EM027BJSi3iE4P7G4qwzAMwzBMdxMJ4daQnIH+okkeIR7eQJ8qlDKnjn0iYJFQm3Y0JY+4jxRRGaJnXc6Mb0kRmelxfEw/ffxzTsPMzdXiOZjyt+7mJGwI1UlYr2+3pMymkqVUve0t0XNKCjFhGKZrEpUxWbSRkGtaK+9anX/BiYSxBWeIh+v0JNci44yhbg8dmj+LkobeRomDbeW8jiIh9oNMndDpmy0q6zjKPXEeqeL6hzQd/N3Jnfl92JaL6RlwujHDMAzDMEwQGOp2kyq2D0VE+J946y/m5krxLA8i3ViTOEQ87K99CJLusBhqxXNXuFgCcEEotOmij6Ojq7AjaGzpSRhocInkJGw2Waix2RRwT0N/kHpWpox+RDiKGIbpukDIdxXzkUYaTueflHLMTsLAg0sgEqJXYWclG7sSziAKV8yGOnHzzWt4GtNj4aOCYRiGYRgmQNDrT504mFQxgfcKAkWLrxBJlxmTXnH7vklfIZ69lST7eyGAXoNwrnjqWQehqeivq0iTNIyShtxk+1xzjXiWq+KpK6CO70cFZyyn8nX/IaUXV2R7Ogmj1YGJfBqlnKI1ChF8gpLj9hAJW/tJOvcLZxima5a6Gup2iZs/UkmrIjKdVPEDhBs4GBBU0nDgJ4rKmipEJYiQ6oTBfNPAA1KIl8XY0Oa9nJnfkbnlBll3Ak72spV3i2Msdcyj4nXpijsoQqakjEn/7ezFY0IEgnf1ltepqXQZmfWVZLVanN4vOO2vgKfJIiHDMAzDMD0eNJLf8+Ugiu93CaWMfsjn9sDd98xj3gp6u5maSshssAlx7jDrbCKhXBu4SKiv3EDFS66jxME3ihTN8jX/R9nHfy76G3oKR9GVLHWev1i2iC7XxyhlxL0dPs9gg0tAYrSGGvQNIrwkLyX821JyJVWs+w/FD7iiyzhgGIZpi7HhIB2afyolDr6ZkobeIoYlj7hbPILFWH+AKjc+R3JtihAJo7OmiQcTuJMQzjpv/XuPVPB3wVCzS1Q/pIx6UIiDEEvr939H+krcIBza2YvIhEDpP3eTruwfis0/g+QimTv03wHhr49hGIZhGIY5wrBabEJQzc73O2R+6GOI0iZpvq6YW5yEcnUQTsIIGZmaisjcXGW/EEJCojdkqlindGNLcw3JVHFBpSu3B9hO1dvepobC3zt83g3NtnJjuAIDJamdw0tkqlbhkQVChunayFpaJVjMbQWqYGlNN7Yl0jO+thf2QQRZTI1t+vA2Fi0mk668W27CyMwpwnFetfkV4SRMGHS12A6VG1/o7EVjQqSpaBFlTHpV3GxA0E3CgEudHh0iEv689iAdrnT+UjEMwzAMwxzJIKBDGZ1Lqnj/moTX7vmSSlfcaQ/4CBQkCpPVIhyF7lBEZ5EmZQzJgkjybS2naiSLsclpmMfPKGPIYmgtWcUPTpRedR0iqGLd41T815VUs6NjhNzwOAltF/CV9bY+YeGGw0oY5shB6qdqNensw3A+q976ZvDTbClTllKSG4uXUMX6p7ut2BUquJkiHPIuJZlw4BctuoQaDy+g7khkxjHiGSJhzfZ3SB3fn6LzZlFT8SLSla/t7MVjQgA3dMPdGiZgkfCbFXvpitcX0bkv/E5PfLuO5q05QAcr2tb0MwzDMAzDHEkoorLI1Fjk17hNJX9T3d6vRLpxMCijbYnIxsZCt+8nD7uDcqZ/GZJwBKeE5JaQSqz8dRLKNYmkismnroJjc3Vjk3/7KOw9CYMQCSUnYVVDOzkJfYi/DMN0HaRkdou59XyAvyO1uz8L3UnYkmqsL1tJ1VtfdzqfM870Oms9ZR7jLMzCfQ8UHdzztqPQJA4lmTJW3HCL7X22GJY05GZReVC58fnOXjwmBJKG/lvsQ7TNCRcB1028c92x4ofOhv2VtPFAFX37zz767y+bKS5STUPzEuneM0eGbeEYhmEYhmE6gurt75KudLk97APOQm+YGg+TXJ1kLx8LptwYGBsOEaWNp3Ai9VSCQBjR0pvGV58luTKGjLV77K91ZatIEZVhczx20Qvtjk43Dk4klJyEoYuEKBEzWayklLfe40eytiZpOJl0ZSFPn2GY9kW6qWR16IeHNOJQkoilQCrJSSgJkJxu7GU/uOndamos7tYiIVqH5J74k3CzylVxYpgqtjfF5J9O+vK1oipCrk7o7MVkgqBm+9tkrD9Ie78dI36zuSZWY793SHAJmjAfNziLxvdLo82HqmnRliJauOkwLdnmvmSGYRiGYRimK2Oo2+MsAPohEsJ5GCxIEk6f+Appkke6TRsuW3kvadPGU2zB6QFPO6JFELQaG8gaIXPow+SZuL7nU1T2DHsCZ+Hvcygm/zRKn/BiwPPvqJK9jnYSRqmD6EkYLTkJQy83fmbuBvpnVxm9fe0USmgpY24VBawhT59hmPYXamQKm9NbAuKeTJ0Y9DThAo/Knk7KmF726dnmFbzw2N1pLP5L9N2NyT/VPszY1CISRtlSp7sjyuicNsNSRj0kbiK6Ckv+gJtTChGUwXQm0m+3cBLw0bBqd5lwEG48UEl7S+tEUtuQ3ER64KxRNDg3+BMcwzAMwzBMZyH1BkQZknSX3RNoEG/SlZImeUTQ81NoUygmb5bb9xA4Urf3S4qQq4ITCSNklHnse6SITCdVbF+yjHvSZwBJdM4J9v9bWlKXZWHucRMuZEGWeAeDyWwhvdEctJMwMYxOwjV7y4Vgubuklsb0cbgws5q7XAo1wzDu6T1nk9Nrq1kvzvXBApEm85i3WqfXUnYcEUQ/255C9ZbXyFC7y0kkRJAYzqNw1fckHG+IGuoPkComz+/P1u39WoSKibJlptNoj+0fsEj4wGerKC5KRWce3Yv+c97YoJo4MwzDMAzD+MOu4lr65K9ddMqYPBrVK6XdNhouEBBc4ksgbHUcWEnR0lcwWKxWi3AzoP+f22RjTRDJxi1EZR5r/79cFthFj7lFJOxqpUfYP8aGgx3qJGxqSTYGUSGlGzeLcuFgE4jNFivVNdnSS2sanVNM807+LahpMgzT+cD5F87SYMlJKGMnoUciFFFkMTpnKsBN529wWXeketv/qGL9U5R9/JekTRkpKhrw91YZk+/x71biUdeRqam0w5eVcY++ahMZaneLvpOquL6kSTyKOiy45KoZg+io7AT6evleuvy1xfT4N2vpx9UH6GB5ayKevzzxxBM0ZswYiomJodTUVDr99NNpx44dXj+zaNEicaC6PrZv3x7w/BmGYRiG6bos2FBIt763jJbvLKWPF+9q13mZdCVClGsqXU76yo1ex8XFRNKw2ykq87iQ5ln421l0cH5bN6EpDCIhGlijx1BTyVLSla30OX7Nzo9o77ejqbl6m/1Hvz+CaUeSNe1TShnzGGmTR3d4qbFWJSe5TBZ0urHRbKH6lmkFAwRCS0tFcU1j+yQlMwzT/jQc/oPqD/5sfx2dexJFpk8KenpwcpX8fQvV7HhPvNakjBatIkjGRh5PIMjLajGIbSeROeV/lDP9K+qpRGYeSxERcipdcTuVr/k/2jd3IpWtesAuOkuYjfVUvu4/9pAMRWQa9WSe8EPPwg3Chx9+mDIzM0mr1dKxxx5LW7ZscRqnubmZbrzxRkpOTqaoqCg69dRTqbDQfbCdu9+MhX+cR4fmn0blax6h8tUP0aH5p1DhH+eTSV8Z1HoF/Gtn9rgCenDOaPrytun0xPljRYnxun0VdO1bS0TicSAsXryYrr/+elqxYgUtWLCATCYTzZgxgxobbUl83sDGLy4utj/69u0b6KowDMMwDNMFwQ+q13/dQs/+sEGIK2BnUQ3pDa2urnCCHnwWNO3WptLhP86j6m2tpVueSoUTj7qeIkMMHEE5MMqcUb7szkmoCEEkLFwwhw7OP5XKVj5AZasf9v0Bq5nM+krhIqza9JJIPNSmjqWuhDIqi+L7nk+quN4dNs/GFidhsJUzKoWcYrS2z1bVBy/uOQqDNS2OQoZhjjyqNr5Aleufsr9OG/ckJQ66JvgJRsip/sBc0pWvFi/j+14geskG61ruCbSGe7UGyPR01HF9RUqusX6fEJwRiIPXMoey9eaanVT462yq2fY/qj/wY6cub1dhsR961tNPP03PP/88/fe//6VVq1ZReno6TZ8+nerrW012t9xyC3333Xf0+eef09KlS6mhoYFmzZpFZrOt3Yk3ylc/LJyxqCrofdZ66n32Bso9+VcxDKJhMAQVXAJ2F9eKvoRIOd58qErc3UxuKanwl/nz5zu9fu+994QCu2bNGjrmmGO8fhbjxcd3zV45DMMwDMMED3off79yv/j/Bcf0pV/XH6LyOj1tLayhkb2CF8589fCDc05fvkaEknQEtnJlqyhfduwDFI5yYzgljE2HKSJCQUqt7+lIPe3QiBxlvei3qE4YRF2Jml2fkL5sFaVNeF7ss450Ekarg3flILykXmekygY95acG1++q2qHEmJ2EDHPkgnYJljCmkeNcGCFTtXF8MZ6RwmMsxkbxd9/YUEh1e78SARChlGge6cQPuILk2jRxI06dMNguNFdtfUP0cGw4+LNwXyYPv5tie53d2YvbJZjvQ8/CTe8XX3yR7rvvPpo9e7YY54MPPqC0tDT69NNP6eqrr6ba2lp655136KOPPqLjjz9ejPPxxx9TTk4O/f777zRz5kyvy9BU/BdlTf2IVHF9nETf1NGP0OE/L+oYkfChz1eJRGP0aOmdHktD8xLpxJG5NCQvkaJC+AEFsIFAYqLvAJQRI0aQXq+nQYMG0f3330/HHRdayQ/DMAzDMF2DslpbGQsEwQun9KOSmib6feNh2rC/on1EQrnK3sMPbjVjU5H35Vt5P+nK/qGcE38Sd9uDRRll62loajzkJBKqEwZSXN8L3SYRBtJzyWpsJKtMaXdN+ErIFFhMlD7xRdEvsatRvup+8Rzb5xyKTDu6Y5ONg+hHKJEUo6b95fXhcxK69CRkGObIAcFLCCsBZkMdlSy7haKypgmXdLCgp6EkEqJUFA6itKOfDtsydzeUMbmkSRqOP3jidXPNNqra/LL4m9uTRUIEnLmGpcFtWb/3GzLU7SaFNp3SJ71C2pSOa/nRWdTX11NdXZ39tVqtFo9A9ax9+/ZRSUmJcBc6TmvKlCm0bNkyIRJCUDQajU7joDR58ODBYhxfIiF+r0W4ay+AYdaWPiUBEvAvnqykqLCJgo5AZf33v/9NkyZNEhvEExkZGfTWW2/RqFGjRO02FNdp06aJXoXu3IcYBw8JR1snwzAMwzBdj8bmFvdWS4nn0LwkIRLCYdgewE2Aki2U1SiiskhfuZ4s5maPAqChbheZ9OUhCYSOIiFcDI6gP1UoPaocey6RxeCfSNjiJEQfQ9BRTr1g6EjHTKNdJAz+N2+iPbwk+ITjaieRkB1DDHOkEqGIFMILrn2tpiZqKvqTVNF5oU1TrhJ/swBuYLmGcjDOxPe7SDwkTI22G4OKyAzeVC7g90PWtE+obt+3FNdrTpugte7KoEHOlRQPPfSQ6CsYqJ4FgRDAOegIXh84cMA+jkqlooSEhDbjSJ/3BlrfoKw4fcLL9h6RaGVTsfZR0qZPoA4RCa+a3j6lJzfccANt3LhR1GB7o3///uIhMX78eDp06BA9++yzbkVCNJN85JHgarEZhmEYhul4GvUtfeDUtp8pw/KSxPOOlr6EGlXwri531Oz8kCo3PE05J/wgnIRS2rEqJt/t+MbGw/bxQkEhiYSN/jWnDgSZIsrJVehzWbS2H5YIOkkYeAV1RWSqeLIYapx6JLU3DS3HYnTLsRgMSS3hJSg3DpbqBu5JyDDdAZlcK3rAksVoF/YiQjynRchanYSWMKcl9wTw9x4oIjM7e1G6JAptamh9M49Atm7dSllZrb/z/HERetOzXHuEQlD01TfUn3FAyuhHqPivq2jfD5NJKYTuCFERo47rT2kTXqBgCOoXD3oRIt34YEUDYblzk6LprAm9aUhucMoyklx++OEH+uuvvyg72/aDORCOPvpoUbftjnvuuUcouhKHDx9uowwzDMMwDNP1nISSeys9IZLS4rRUWqujLYXVNKpXSvtcIGjTSBlTQKrYPsLh4Q6rxSTu0IajX58qtoDyT19GCk2q0/DiJddCEaOMiS+F5CQE6FXlT/ogliV7+tekTvRczdHZ5Mz8jhoOzSdNytgj1EkYSrlxa4lxbaPB74sHhmG6FsrYXqRJHil6u0llxxD5QiG+/8XCoQggFsrUzo4kxpnm6m1Ut+8bii2YLf6Woy8wYCchIxETE0OxsS1tWELQsxBSAuAIREWsRFlZmd1diHEMBgNVV1c7uQkxzoQJvp2AyqhMyj3xJ2osXkLGuj2i17Uqrm9IFSkB15L8sbGQ7v74H1Ir5XT62Hw6dXQ+qZRyuvujFbRwU2CNvvEDB4rrt99+SwsXLqSCggIKhnXr1jltdEeg+mIHSw/s8O4GHA268rVt0hEZhmEY5kjEnijr4N5CyTHYuL8y7PMz6Upg5SC5Ooni+pxDebMWeBQBxbhWs71UOBTQQwZ3fdEHyBFdxToyNRwMadqJg2+kgtmrqPecrZQ87A6/PqNNGRVyCXV7Amcn3AwdKY41uJS+h+IkrApTuTESv9EbnGGYI4+kITdRzoxvbC0hJCdhiOfdhIFXiVRjAOGRnYTeMTYcoprt74i0XmBqKiK5OrFDXepM98DqQ8/Ca4iASD6WgCCIVGRJAEQbPaVS6TROcXExbd682S+RUCIqYzLF97+E4vtfGnLLmoCdhJ8t3U1XTBtAs4/uZR92xrgC+mbFXvp0yS6aOsT/8hvERSPVZe7cuUK8k2qu4+LiSKvV2p2AcP99+OGH4jXSYfLz8+moo44SGxgOwm+++UY8eio1296mmp3vU8Hpy0kRaVOrGYZhGKa7lBuDofmJtGBjIW040A4iYVOJKKdxFevcjtuSfIzeheGguWaHcDJKwSloQG3WV5ImcUhI00ViIxPGYzGE4JKEFpHQUegLFNc+hHAWhuJu7Gqs2FkqriVuP3UYpcX77qHJMN0Bu5NQHj5xCsJjqM7E7o5MaTvHWEyN9p5uloSu66Jnui7X+9CzcFPzlltuof/85z/Ut29f8cD/IyMj6bzzzrOPe/nll9Ntt91GSUlJIvTk9ttvpyFDhtjTjl2p2fEexfY5T9zYxf+9AdEwUAL+xVNSo6Nx/dqWrRzdL43eW7gjoGm9/vrr4vnYY20/jB2joy+55BK7inrwYOvddAiD2GgQDrHhIRbOmzePTjrpJOqpoFktEA3KGYZhGOYIp6nFvRXpEJAmOQl3FtWSzmAibRj7EkKkU7Y0jrdazFS99XVRdhTb68w246riB1LW1E9IGZ0blnlXrn9a9AHs/a9tIizEYqglsppIrgktxdmkr6SmokXUXL2FYgrO7NGJjWFJNw4hrC8+Sh1yKrGrwFjT1CzCBLsLv6w7JIKJ/txcROdM6tPZi8Mw7UZT6QpqLFxA8QMuFzebkobfRdrU0NJiS/+5iwx1eyln+leUOORWUmjD25KjuyH17LW2iIRJQ1tbkzFMuPWsO++8k3Q6HV133XWipHjcuHH022+/OVW4vvDCC6RQKGjOnDliXATzvv/++ySXu795Xb39XYrJP51Irhb/90xEx4iEybEaWr+vgrISnX+YYFhKnCZge6YvsHEcwUbGg2kF/YbE9uRyY4ZhGKY7lRs7uLfS4yMpLV5LpTU62nqomkb1Ds9FEP52mvUVpE0dJ17DTVi97S1SJw5xKxLKVbEUGWRanDsgRuImH9yDuLAz6Stsw0MUCSE8lq64XfxfFdePRcIggSANIkMQpRNaREK90RxU8I7FarULjPgdXlGnD0lw7Mrb+UB5fWcvCsO0K81Vm6lmx7sUnXsyaVNGhiUQAum8hhqbWSdhQOCCQE9DCvOyGBtFErRMGd3Zi8QcoVj90LPgJkQysrd0ZI1GQ6+88op4+EPBaUvc/j9cBNyT8Myje9Hrv26ll3/eRL9vLBQ9Cl+at0kMO8uhBJnpONhJyDAMw3QnpLAI1z5wkpswrCXHMiX1OmsDpYx6yD5IEZVpLyt2BQ3OzYa6sM1eEZXhFJ4CwRKE6iR0TDd2/D8TGBD2gEbluxTdE1qVnFQK20/umqbAxb0GnZHMFtuFSH5KjNvy4+4jEjZ09qIwTLsSobC11LKadeGbprw13ZjxP9jL3FxF+3+aRmWrHuDNxhyxVG56mSymtucTi0kv3usQkfCU0Xl0z+wRtL+snt74bSu9/ttWcdfv3jNH0MmjbKU6TMdyJDgJxUVVc3VnLwbDMAxzhAaXgCG5ieJ5y6Hw/T3BHV64Ax3Ls5SRWUK0Q39AV0qX30H7v5/o191jf1Bo0+19EQGSldPGP0+RGaE1nXZ0RkS09F9iAkdvsImEoZS34xhrLTluDrrUOFqjoJRYW9VOd3MSStv5UGWDXRD9f/bOA7rN8vzij2XJtrz3dhxn7703CQkrCTvsVaBsyi4UKNDyh0LZo0DL3jOMQAgJZO+9d+K995YsWf6f+3x6P0u2ZEu2HI+8v3N0ZMuyLMvyN+57n3slkp6Ixpo/iJP6yoyllPrjdKrJ39R+kRCO9LpySv1hChXtecFDz7ZngszeoJSLyFSZRvW1BR6LD5FIOoOS/a+q+Zq2YCECX2sLbTrimTooli+SrgEq72GbdnQy0xXAiVTaD1NIF9yXes//vbOfjkQikUi6iZOwaQ7c0KQwvj6aU0Z15nry0bbs7lKEvAbO+mup5RAX34jh5K0LUp2EfMJVW0haf/scZjgMkSPlqYZd/Cx+3Joc5XN9FAWnXOgxpwR/LJ2E7Xa4tcdJCEL9faigvLZN4p4QCSE0qmJjjbFHvs51Zgvlldb0qLxFicSxk9BAFlMFmauz8Em7XiRRVIJMW17gMjUXDCT2i2gxk16gjKXnkEYbSMF9L5Mvj6T70oBj3ebHpMbSQ+TtE9qmh/Rc6rek0wgdcA1fOouK1B+o/Ngn5B83kwJ7nUO+If3tvs47P+T5xE7tpGcokUgkku6Cud5CRrOy6OXfpFEWecgh/j5UXlNHx/MqaEiiIho6I3fdbVSd9Rv1u+KkU1GvKmMpFe3+FyXOW0z6yNF2zcUmCII2IiEW4yDm+ce2z+Vni9Y/ni/iAI+nAjS6douQGq2/w48l7lErnIS6doqEgW13EgphEdmGoQE+PdJJKERCkFZYKUVCSY9FbI8t5hqymJXtQXvbiOEkBHAS2n4ucU5N7lqqKz/CBTKYJpBIuhsnvhmJUQW+pC+ZrXwsaLCwuzCkn9Kg3CEi4cX//s2hOumI7x6c16YnIum+ePtFkKFoJ19K9r1Mgb3Opbhpb6pfR7Mi8A2TzYoSiUQicW3U2NG4MYQzCIObjubTgcySVkVCCITAYq5SXYKO4jCA1r9xQsIvYhQF91nULMwczkI4DIWI6Al8gpIp5YIN6ucF2x+nyrQfKeXCre06cdHY/L7efsqYtsR9UDQC3C0bceQkbKu4V2brJPRvu9jYVYHjV4ixADFGcmJJ0lPB/iO4z6U84moo3u0RUS+k72XWiArlfF2KhK2Ts1ppng0dqFxLJN2NqLF/52mZ/M0PUcSIe0ijazxm9NLoSBuQyOVIbcGlI55b50lxpytjqsqimvwN5B8z2WmmQtmRD8jLW08h/S73+M8PiJtO/S4/RrUFW6h4zwvsykA7o2hmNJYoIqGxZB8ZI0aQb+ggjz8HiUQikfSsUWM/nTd5a5qPCWPkGCIhGo5psmuP2WA2EDkRCTkL0EtDWr/GTEL/mEl8aQqchUAXmEgdRX1tETsWbUW+tqDVR1P/K1M99rxOR0z1FjJb8/Hak0kIxJiwGB12h9Iq5XvCAn16pJMQr7NtDqEsL5H0ZDBxFTPpef64Nn8zX3tZcwrbil/kKPKjUWQo2W99POkkbI2Q/teQxieYdAEdtz+XSDqS4D4X87UiBo5lYdBTuHTEczK/gq6bNYBXUfelF9OQpDCHB+6SzsFQso8KtjxMsVNecygSYoW2cMc/+OPgvotazGZqK14aLY8Tm6rSeVUMrsLARMVVaiw9yNflxz5lp4YUCSUSiUTSamlJk1FjAY5BRHkJ9m9Nx3KP5Zazy3DBuN7kEzqYGsy1dqUkTUF+k9YvmvdjrVFvKOBrTzoJQWXaEjJVpVH4sLuURTbfCI9lHkraX6bhiUzCsHaIe/bjxsrJP0bue+LrLJyEEsnpQIPF6DFRD/tD5Bx6QnQ8HYger5wbSyTdHX+bRW00Gjc0KIvtAmeTNO0WCX/clkaLpvRlkfChTzbTF/eeqR6kSDofL29ru7HF8QFjvbFY/bjBYvL46lLm8kv4OSTO+Zz0MVMpbOjtpAtKUb8OkVAX2JsFRARoSiQSiUTijGqj49ISQf+4ENJ5a1gkySlpXnDw5rL9dCirjEtNRgc37oucYa7NIx1nAtqTt+kBDpOPnfKyeltg0tnUdxHc8Z5dbKtM/5Gqc9dS2NA7qN5QRN5WJ357Sf/lbN739l10UIqO7cjJ02q8+D3XHtpTOGJfXKIc81XU1FG9xdIjFu1t8whBZlEVZ5Nq2/maSyRdESwE5W96gAISz6TgPpeQX+QYdn63h5IDb1HxnucpYfZnFD/rA/IJ7uOx5yuRSLo2aEov2vUsT3PW15U2+3r/K064/Zgu7X1jQvX0w9ZU2ptezOUpB7NK2VHo6CI59XhphEjo+MAT9e4gcvQjpOkA+zlcGAjfFdlKkSMftCsvSTr7R4qb8RbpApPJWCZFQolEIpE4p8ZgdphHKID4NyA+hD8+kFXS7Ou5pcr+aMn2dIoY+RDpApKotmCbw8dqsJjJ2zeCdEG9m33NVJlKNbnrHIbOa7SedWlo/eOILCYWCD0pEiKUHc4S6Urs3DxCECKchFXtaTf2oSC9D6eOYTi3osbeLdBdEXmEwXodxwxgxDunRLazSnouNblrqK7sCPkE96XAxLmksTYetxXhhIeDMCB+ltP4KYlE0vMo2vUM1eZvoqjx/2BdKHrCvyhi+D2k1cdQzKQX2/SYLh313DxnML22dD99teEEl6b84+sdDu+Hr/362HlteiKStiPmz7kRsQWRECdBEPM83XJoMVXaOQf5uVhw4KohL403r47h4hs2iKqylrPa3d6doUQikUh69rixv5/zbJWhSeE8bozLvJFJ6u115np1NBNRKccz0kh36B3S+IaSPnq8wxOr5HOX8phWU3DyhuiMemMpefsqI84VqYvZGd/WIOgWRUIW9Y7xVIC33jMioaR9GEzWZuN2jhoDtXCkDU5C23Fjb40XBVsbvlFeEmZtTe4JTkJ/Xy3FhvnQ0ZxyziXsFdW+XE6JpCui8VbOgXA+hAsycXFi357FHDElhnMyi6mKc+hxDiaRSHo+1dkrKWbyizx2XLD5r3y86xPUm6NxUIQXnHJBx4iEUwbF8gU78Quf+43eu32WOu4g6XzEjsHZuDFWlXzDR1DZ4fcpf+P91OfiHeqIcnvBiRXqtTW6xnGv8hPfUOH2J3j8GM+toaGecwiRDUWZy3jlDAG7EolEIjk9gYOPT4wcZOQ2jhs7P0RBeQng8hIbSqwFD8CLLFSw7z+E9MB6Y3PHoS2OTs501nGtuoqTHAiNxa/8LQ9TQNwM0s98lzpCJKyvK6fkBatdykeUnDqHW3tLS0TpSOOYcAOLfa4eZ6nFJdaRZRyDs0jYQ3IJbV/n5Kggq0hYSdNJ+b+QSHoSIi+wob6W8jc/wCOC/XgcsP0iYWXa99zaGzfjHTUbXiKR9Gzq68rUQj2NLpAsxjKiICJ91Hgq2PZ4mx7TrbAP7Lyfv3YSxYbpKcBP5/AiOfV464LJN2Ikj0w5Iih5PvU6+0fSx0whi7mKDMV7PPazsYMjbmEMVG9DOQlury3aSSUH/kOZyxaQpb6W9FHjKCBhDp8YSiQSieT0pMFST+m/zKPsVdc6/Hp1K+PGYEiiIhJmFFWx6CIoqlBC2321GvLxqqMEy1b+vN7gWCSsOPkd76cs9UaHTkJQV6FkuZgqM3gk2Ce4H3kaVSSszefYDp2HilF6L1xHyfP/8MhjnY4IhxtGYNtLiL8iEqLEt7LWdXGvxmjm9l8QanUNqvmGbWhK7tpj3d7U2+oeTJPlJZIeChx+cA5ywYDZYHURtu/cyEujbBPq6yrtPpdIJD0fXWASmaqy+GOfkH5UmfELf1yd/TvrRG3B7S3SiOQIDknGgUlaQSWP89heJKcen5C+1OusH9QabGf4x07h65r8jR772RaTkhmj0TY6CRWXoBcZinaQsUwpLUGrDn5+/Mx3yS9ihMd+vkQikUi6FjX5myhr5dVU7SDPD5Qf/4zz/hpMSnZgU6qEk7CFhUeMWyZZC0uQkywoqlREwv7xoTQsofEkyZmTsOLkt1R64C0129cWEfxusoqEdRXHldtDPC8S6oKSKbDXeeSl9SdDyQE157fdjxuYKAPsPdC6295mY4BjZ2TuudtwLPIIMfIsxMpQ/7Y3JXdlMVZxEiqLzhg3lkh6Kl5aPRsqLBajRwolG8eNlXNxT5dUSiSSrktwn0upztr7gALZ8mOf0vEvB1LhzqcpdPCf2/SYbs9PHMstp3//uJubx5pG+MhMwq4HxlTyN91L/rHTKaj3Qj4BqYVIOPwvHnl8jU8wJZ75JXn7NuYnQRD0CR3Ige/IxUAbpEQikUhODyrTfqDavA18CUxeSFFjHiOtPkptdSze8wI75xLmfNpicUmwzsiuQ2e5SoMTwyizuJpHEycNiOHbiq0iYWSQH03tFUl0VLlvvaHY4f7RWHaY91cOx40De1H0+P8jP2v+oCoSdoCTUOcfR3HT3qCyY59S5rL5lDD7E/KPnebxnyNxD4OpUbzyBHAAVtSarA5A1/L2Sq1CoHAP9kQnYa3IftR587gxyC6pZgdle1ulJZKuSMTIB3gCrOzI+x4R9Pxjp1Kvc3+jqvQlZCjc3iFFlRKJpGsSNuhG9WP/mMmUPP93Mpbs4+NY37AhbXpMt496XvxpDyWGB9B9C0bwQUrb0xMknqK+roJK9r9GfpFjKajXOfZfq83nwEqNLoidhvqoCVSTv8FjBSbYCemjJza73S9yDFWUHeaPfcOHqreXHn6PwzUTZn/qNKAXY2FFe/5N4cPuIF2AMl8vkUgkku6TtwQHOZx4Vek/UU3OKkqc+y35hg6g4t3Pc7B69MR/cbB6Q4Ol2ZgVMgmDvCtoTPadVLjjGooe/w+HPycpUnEc5ZRWNxs3jgz2ozHJ3pRrFQmrAiY1+37sHy11ZZyZ6/D30OgopP+V6ucoFQG6EGUMuSOory3ia0+1G0u6TiahyBLMKHLPAVjWJI9QPA5/rcdkElrFWF8tRQX7cYEJxqyzi6upd7QsL5H0PEL7X83XpQff8ohI6O0TzJeqTJ1d7qFEIjn90AUktDu2xu2jnryyGnr80rGUEN44XirpXFBYUnb4PQrpb2wmEtapzcZK+zBGfmvy1pKx9BAHsbcX5Gkg59DbJ0RtWQZ6iITHP+ePfcMaRUJTVSY7Gc3V2WrAZlMqM36mihNf8glZ4plfyXYuiUQi6UZEj3tKdepVZ63gIHWM6NYW7qCKk9+wQw6hyse/GsgFV8irbdpubLIo+5Pawm1Of05cmLLQlVta02zcOCLIj7wblGymb4ouoT69LqWma6nGsiN87RPmWCS0XYhDpIbWP4H0sVPZLd8RFO3+N5Ue/A9/LEXCLpZJ6IFxYzsHoBsNx+K+YTaFgY1OwroeNdYNMRYLyIkRAewQxgKAFAklPZmGeoNHBD3k6pqrMslck8Ofy3FjiaRnU3bkAwrudyUbtvBxS4QOvKHjRcJRvSM5e1CKhF0HkaXUUN/8YNFUeZKvfawiYXDfy/iC1SZn4MTucHYZ9YkJJl+bsG44PkwVqZyBKKjJW0e5a/9MMZNesMtEDEicS6EDb6TKjCV2IqFv2GC+VrIKHYuEhsKdynXRDio99A6FD73djVdDIpFIJF0BnOwHJs3jiwhWDup9IbvEDSX7uQTEXFvgsLjE0KAni3cQefuGO338eEcioXASBvmRxjeMSoPOptycOKrNbJ5JaLTmt/iGDHT6M4r3vUYl+16m5PNWUOSoB6kjqSs/auMKUYpZJF0kk9ADxSW2DkDRVuwKpVV1dqUltpmE5T1k3LimSUFMgK/O7vWXSHoauetuo7qKkzxZ1WBRcnjbu//IXLaQwobcTr3PX0davRLBIZFIeialh9+noN4XEHn78sfO8To1IuG9C0bQCz/upvSCSkqODiKtxn5MaPJAuVE61YjVogZL84PFRidhb75uSRwU/HfFIVq8JZUum9qX/jS70WFRsPVvVHHiK+p1zi/qfDsyBwHGmW3Bz4ka+xhfbPENtYqEpYcpMFE5cWxKbdEO0gUmc36ibEKWSCSS7oOpKoPKjn5CQcnzyS9ipN3XtPpoip3yEn8sxMF6RyKh0URRugLy8vKmekOh058VF6ZMNJTX1PH3QFhQMwmD/cg3JI5Cxz5LYSdepKmGx6iu5hPy8Y+x2x8F91nEmYTOEOMaaDjuiMISRw3HwFkOo+TUYjB5dtxYjAy7MyYsiktsx41Deti4sa2TEIgFaqNZioSSngnOn8w1ubxf9KRhBFNdMqpJIun5pJy/zuHHnsLto56DmaW0P7OUth1vfuAui0s6BzHm69hJmAYV0c61V5O3kerrypuNJoMtx/JZIARor7bFUKQ4/EzV2Y0iodnabqxzbfzcJ6S/esLljKS535LZUMA5UbYjzBKJRCLp2qCZt+zwu+wabyoS2qL1U06MzLXNjyWQRXZd1KfkZS4jc22ThjQbkFsW4u/DImFuSQ31iQ1Wx43hJARwxEf4VFAf32OUnZNGKf0aRcKA+Jl8aQnRcFxx4muqyvyVQgfdTH42ObsdJRJKulrrrofHjd3JJLSKhD26uKTJ6ywchdJJKOmpwAhhMdeSoWgXaXxCySc4xSOGETjkDUW7yTdiRLO8X4lEIukwkfCt3w7QnOEJdNX0/hRmM/og6Tx4J6DRObSrB/Y6j3xDh9iJbcV7XyJTVXozkRAOjBd/2qt+3nQcJmLE/ZS77laymBpD4hudhEqAfGtotHplx1hX5vQ+Wv8YvojR5wYIkRqdbOqSSCSSLg72LbY5uM7w9reKhAZH48Z1FB+p5CpZ6so5a8lRU6OpOouuj36PNhUNoNzi4ZxDWG9p4EK18EBfqsxYyuJeUrAylpyek0kp/ZoXbbWELliJ16jOWcnXIf2uoI5CiISx097ssJ8haVtxiZ+nikvaMCZcaB2hj7AdN7Y6CfH84Hb01Dh0V3mdfXWKuGG0Ojklkp6GxltP1GCmzBWXkn/cDEqY1dK4oOsiYXXWcr70u/yonMaSSHowhTuedvm+TSc7XcHto56K2jq6aGKKFAi7GCEYmXLQuBjc+/xmt3n7RZCheBc1WOrVkSacWD33w252ZAhnhhhxEXmE3r6h/LGtwKeKhFrXREIQNfYJp1kZtVhR0waw4xB5VlWZyyhv/e0UO+VVCuq90OWfIZFIJJJTj6lScaL7BCa3eD/sM9Bu3HTc2FxvIX1DCem9DeQTNYlixz1OXl6OD1WqMpZRf+8t1D9mC9UdWEpF1deQF/WhsEA9ab01/FxqctdQaPCVRFVEuYVZdqUluWtvofDh91BwygUtN0b6Raljzz7Bihu+I9D6x/K1uSa/w36GxD0MJvusvPYixoRtj69aAsdm6YXKVEdyVGOsi7+Plny0GqozW6iwvFZt+u6uGJo4CdVxYykSSnooXlprWUlDvUdKRjQam8eAecTJflMikfQMjKUH7D8v2U8NDfXqBExdZSrH9viGD2vT47u9BZk6KJb2pBdTvGw37lJET3BdTebWxAYL1deVkdYvgm/bdryA9qQV84HwwxeOpkc+28JOQnbyWeoo/ee56ugYRpXb6iQEIX0XOf1a4Y6nyFSZTn0uVkabvX2V8PZ6Y6nLjy+RSCSSzgHbb40umEtDWoIbTOd+Q1rsj5o0G8f55PLHcLuLaAtH+EWOpqzAK2hvRhnNjthCdOIVivN5hAKCRGauUmgSEdWHRcLSkkbxzVh2mF2PXprWD4NwwFVrKOQSFW8/50Uq7QWLY5FjHif/mEkd9jMk7cvK81gmoYvjxrml1SwE+mo1FGst6hH/PwPjQ2lfRgntSi3q9iJhbdNMQq113FhmEkp6spNQ/bj9IqGt0Ii2ZGwjJBJJzyXxzC/Uj0sPvcvRbzGTXyRvnxBVr8nf/CDpo8a36fHdDitAq/EHK4/QCz/uoW83naQftqbaXSRdh5q8DZT6w1Sqylxud7s4Kas3FKm3FVbU8vXYvlE0rJdycme2NFClwUQ1OavJXJ1JusBeFD7sL6SPbhzXihz9CKVcuFURHtuJxWwgY8kB0keOUXduwr0IQVMikUgkXV8kRFGWKycoyPYT0RKCaoNJFQl9g1O4fKve6Hj7r48aS/W9b6elpefR9voLqF4TTL5eRjWPUGTmJiUqxSSWuhIqqVJGN+vKDvN1S6UlAjjZEQrf4cUlfhEUNuhPnOco6dmZhBgRFu65lkgtaHQRemvs/6cm9FdG9rcebz6y331fZ63d2LF0Ekp6KiH9r6a46W/zx55wEiLKqd/lx/kczROPJ5FIug+lh9+liJEPqQIhwMeIisPXTolIuGx3Jvn5eNPejGL6aXsal1yIy/fWwgvJqSd/80OUv/VRu9vqKk6SuSan0dJuxduBSIigeBDgixEWbwr0UzIM4SasSF3M1vXQAddSxIh77FwOWP3S6qPcamLM3/JXOv7VYB5htsVYspfzOfyixjY+Vx/pJJRIJJLuAJzniIUISl7g0v3rDSVkKN5LDRaznZMw0LuK6hs0VG8opvQlZ3BhiDPirO6qlSVTaVP0V5Rq7MPNxvx8zIqTMDhyIK0yXEn7qofTgcxSddyYhb9WshMZLy921OuC+3X467c7rajHlFH0JCehpzIJITZiTNjVZmJRINc7unHUWDChnyISYgpEtDD3FDFWZhJKejqIiPKLHKM6/9oLFuZwLtaADF/b0WOJRNLjsZiq7HQdAY6jbbsk3MHto56P75rdph8k6Vhqi3Y0y23iZmPsiIKU2XSBLjCJfMOG2gXa4sRMtEWSNfS9ymCi0tJ8CshZRf4xU5s5PgBauXBio49SdnSuoaGGegNZTJV2inettT1Z7DT5niIH0YmTRCKRSCRdA5ykwF3uKiX7X6eyox9S7/M3kC4gXnUS/lRyPu3TLKJXQ+OdNiCDzN8upEBf3OdczmXLK1Mc8U2dhBgTNsReTmnZGXQws5SmD46jutJD7Ax0ZdwYYmLk6Ec73OH3/dY0emf5QZo0IIaeumxch/4siWvUejiTEP8jGDnOL69lMTg2tHGEuCUnoSORMDkqkKJD9FRQXku7U4v4fdNTiktku7Gkp4OySXNtAe9fkMXuCaqylpOheDf5hLTukJdIJD2HwMR5PFocOeZRjuIRGk3RrmcpMOmsNj2mTDXtIWAn02BWxqgEHFip8VEbEwUB8bP4YktNE5EQzdUZRVVkyF9HARaTWhqS9cfVpNH6UfxMxbpauOMfZK7Jo5QLN7n8XNURYmOZnUhoKNyB5TQ1+1A4FWGhrzeWuPz4EolEIun6eOsVJxTKS1SR0Lov8vPVc2EIf91aGmILFqeMZYdIHx3CgoJ3fTn5FS6mZN9YighS9iHBKReTX8QodlcMSwqnX3ZksJMQoqO5No8bJV16nr6hFDb4JupIMouq6IOVygj0gcwS/v1kplRXysrzXHswyksUkbB9TkK8Pyb0i6Kfd2TwyHF3FgmdFpfITEJJD6X8xNdUuO0xSpj9KfnHTvXIY+ZveZj00ZPsssokEknPJ3rC/1HRrmcof+O91NCg7E9hHgvuu8itxft2i4TIr9t8NJ8Kyg3cRGjLLfOch4xLOg6IgRZLRTOLKUaLXRkFbiYSWnNz6qqVbCifYKU5ud5YRGabERk4NdwpLQEaqzCotCQ3NmBqfILJP2YKabSNYb4g+bzldmKiRCKRSLoeZcc+pcq0Hylm0gvkE9RyuzHQWkVCs6ExU81QlUdzQn8n8ptG3r6T2PHuaITCUlfOY1VoBMbIcXVpDs0P+pR05nkUFXwZ3ycgYTZfQO+cB+mRxHR6PudRMmkCKXHutxzy3BVAg+0LP+3hggpQWWuiwgoDu8QknQeEWk8Xl9jmErY2Vo4R4pwSxQ2b4kAkFLmELBIeK+i2wrKp3sIZ2I6KS2QmoaSnorGOGFvMtZ57TI0v7xclEsnphUarp+jx/2RBENngRA2cD67Rtjyt0BJuH/WgRe2Jr7ZTbKiesoqrqXdUEOWX11BDA1G/OCnkdBZe3j7UYLHfMTTU15JXE8GNb7eYqXjvy/zmCel7aZNMQp06bgyOec+nyedfqzo6vH1Cqa78mN0MvHCDuIrautNkhDh28osO768LSHDpcfnxNN7krXN8MC2RSCSSjsNYsp8MhdtdXjgS+w6MXAkaKg7QhRE/0HZtLC9wYVTY7EAkhBMQaPUxFB/mT3uKlQMhf00NRVjHjW3x8W6gcF0ZC3KZxUYaEN+YfdvZoATucHYZL9IhDxjjoyfzK6RI2AXEKwsObnkM1nNOwlB/H75uzUkIdyl+eoi/j7pw25SRvSM54xCiMlyHKTHB1F3zCB05Cbt71qJE4gxxfobIDZ+g3h4pxkJhiaF4F1XnrG42MSaRSHo+Gq2/x6Jx3C4ueX/lYbp4Ugr999aZfGDy+KVj6dO/zKHhyRGc8yPpHLx49cj+gDNm4nMUM/FfDu7sTWWH37ULg6+xHqT5+zSOG4PiagvpAhJ57Fe4ANE0LEpHIBK67yS05gzWlbt0/7qKVG5qbokGSz3lbfwLZS47n+rr7B2VEolEIml/1lHFye9avA9ycDW6IBb2XEFrM24s8Ko5ydd1vkqWLhaoHO0rzDX5ymP4x1BceADV1DeKhKK4BJmF2auutz5OOOk1NaShesrO3NNl9hNFFQb6ZM1R/vi2s4bQ8F7KaweRUNI1Ro2Bn85zTkIh+JW24iRMLahQR42dOQQxaj+qd0S3bjkWbk2cU3hrNHairHQSSnoqwuFTm7eBavJdj2xqCdFqXHb4fY88nkQi6T4YivdwBmHu+rsoZ+2tdpdTIhJiZXPuiET+2FvjxTtwjAdcO3MAfbPxRJuehKT9hPS/iiJGPmh3G4Ir9VHNw89xsIkxZEftxk3HjX2q95Kx9JB6PzgJqcHC4iBGWxSR0D3nHtqRk+Z9T/7xMxt/fv5mKtj2ONVVNH8PFe99ibJXXt1MBLWl5MAbVJO7lk9OS/a9yv8oEolEImk/pYf+S7lrb6GC7X9v8X4YcdAFpbg88sgioZeGLNYWYuBjTOVri15pHU6at5h6nftbs+8111pFQr0ybmwhbzJafChIZ1BHFk01ObyPAkK4RHNyROpDlLVCcdF3Nifyy9mxhhIKHFv1sTrBTuRJkbCrONwU8cpzY7yhAa45CUVpibNRY9uRY7D1uOOCn66OOP60HelWi0ukk1DSQ7FtNPZEu7HyOL521xKJ5PSgMm0JZa64lIzlx6k6azlcXFRXcYxq8zeSxifo1IiEWE3FAS0ID/Sj3NLGg/tym6w6yaklqNc5FDrgGrvbzKi9dpJ10apIaHUSTm14g/I23a/eT+Mb0iQPKo60fpFuPVdv3zDyixxllzNoLN5D5cc+pXpjufOiEyfOw+rcdSwM+oYNofDhf6GyI+97bFVOIpFITneqsn7n6wZzjd1osC3Y12AEWOdCFqGtq7zfZUcpasxj6m16UxqVmMLIV6/sH1CU5Uh0xChV/Mz3yDdiJMWHKdmCNRZ/CtI27vMaTDWqW8PbV3FbxejySW8pIN/wYdQVKK5U3GRxof78e/aNtYqE0knY6XREHiGIsmZNnsgrb3NpiS3j+ykiIZq70Q7e3TCIBmmbkW6ZSSjp6djmr4tprfaiC+zF11IklEhOL0oOvsnH0gmz3iPS6Chq3BOUfN7vFNjrPNL5K8WAHS4SDkoI5XZAMLF/NP3394P0+bpj9NKSPTQoURFzJF2D1B8mU96Guxx+DcIeik3gBnTuJGygAK8yznwSBKdcQvGzPiBvvwg+eUu5YAMHZboDRpVN1dnquBgQmVNafaRDURE4azguP/Ih9rYUO+0/pOfaby8yluxTv46xMkeZVhKJRCJpZXttMXPWoMBYcsDh/UxVCEomzlZyFYhitsValnojBViyKdcURwF+OjVuoiL1e6o3Kscdti5ElJJo/SI4kxAcq+1Pld7Kz2enu7mavKzlJBg3BoP8lQZh37CuIhIa+DrcmqMonIRYgK02dj/BpyfhSLzyBGNSIknnraHM4mpKL1SEwJZEwtachLGh/oqbtqGBDmbZ/590qwZpm5Futd1YOgklPRTf0MFq66innIQxk/5tfTzpJJRITidMlRkUED9b7anAhA6OscMG3Ujlx784NSIh2oshFIKrZw7gg521B3MpJkRP980f0aYnIWk/hTufppOLJ6hjWzixg9XUy1vv1EnYYKkji0kZaaqxnowIkRDFJXpNLem8THbFJL6hA9jB0Z62nIZ6A6X9OI2K9ig7MyBcjXhezkVCxwe/ZmMxi55o00Q+oi44xe5EtirjZ0pdPJ5yVt9IuRvuVoVR9WcbSznTUCKRSCT2oKgKJVj6mMn8ubHUsUio9Y/nhZrAXue69RLC9V1+/Ev+uMFUTScbptC+6uEUYN0XVeesovxN99kVZvF2v7aQRUUQFeLH46AfF1xHh4P+ojxWPRyFDeq+KjDxLIqc9TU1kOJKtAQM7FIioShbQUmFyFRMzXcuIEk6R7zyBBDAR/dRjnXWH1IKeJqCyZySKuX9nRzV+qjQ0CTlOGl/huPF1O4w1i1KS5qKhE2P2SSSngBO5DW6YI+KeqLZ2FOio0Qi6R5g6tJiVuJ1YO6qKzuqGqWgu5wSkRCrlWKlG5khd507nN6+ZQb9fdE4igltu3AkaR8WUzXVGwrV3D7xhvDSOt5R6GOnUEj/qzlf0FxvIaPZYicSBqNNT6uMwpi8lTGtRndGDVnMBjLX5FHpof+RsfSgW8+VhUuNjix1ZXYioZc2wKH4qPFRDn5t729LSL8rKHTQTernfmHD2dUigulr8pTRYxxmVqUvoeqsFewsxO8CV2Puuts5n6quXGZqSiSS7k2DxUQlB96kzN8uchrR4A4i3zW472WcH2hwIhJ6+wRz7IVv6CC3Hr/syEdUsO1RXqiB2+83w020vmI6BfgqTkKtXxRfN3WD56y+gdJ/nqP8bI2GYkKVBbFIq9iGfSLQaAPUgpOw+PGU5F9ClgYvyjUlUVeg2CoERQQ1niT2FbmEcuS4S4hXnnYSgmmDYvl6/eG8FktLcMztyrjzMGvhjZj06Y5j3X4OMgktDUrLtETS04CZo67iOGm0gaoZor1UZSzla5gmJBLJ6YNf1HiqyV3PHwf1Oo8Kd/yD8rc8THkb7yZ9zJRTIxKCKoOJft2VQe//cZgqahVR6lhuObf0STpvRUqcIAKLVSTUOFlNCu59Po8JY8ckmo1t243hykgIVFyJBq/GnRcCME98PZQqUr+luoqTVLTrGaot3OHec0VxCrckN57A4gTQWbYhRpsROs/uSAeE9L2Mwgb9Sf3cN3yo6niBEFhbsIl8Qgdz0zNKVgp3PEkZS8+hkn2vIEiLs6kMxbsp49dzyeBklE4ikUi6OliwQaNv8Z4XyFC8ixdyPCUS+kdPoqDk88kvbEiz+6AcpCZvY5scP1xe0mCheiPiLyxqplqAn3VfpFdEwvpa+1IG5B+itESQGBFIYwJ20LCaV3khS+MTTAlzPqfQAdfy1yFCmmpyKda3iPJNMZRW2jWEhxLhJAxs3FeLhdiTsryki4hXnhcJJw+IIY2XF7dY55QogrbDPEIXXIRgWJIiEh7OLqM6c32PcRICo6lr/K9KJJ4Err+yw+9RQNJZ5BfhmUm82oKtfB0y4DqPPJ5EIukeRI97ioKSF/DHYUNvp9DBN7EBKzDxbIqZ9NypEQlxQPOnN1fT1xtP0LebT1K1Qdm5bzycR++vVLJ+JKceL40QCY32TkIXLOcij9BXqyGtd+NbItSPqNwcTFUNysGnCJoHFmOZamvFiK+7oCUZ5SeCoOSFFNzXcdtkQNx06nPxDgpKnu/SY/vHTqWwIbeS1i+aR9SQvegfM4W0+igKH34vmWtyqd5YxkUnEFejxjxKsdPe5PHrmrx1bv8uEolE0tlAzMtYdj4Zyw7zAULfyw6Tb2j7R2pD+l9JUWOfZCde7JSXKHxY85zbitTFlL3yKqpM/6ltIqF1rDj1+0nUmzbz52LcuNFJ2CgSYjEM23XxveD6WQNpXp8yCi7/lSMkEATvHzOZfEL6qZm2aT9MIYN+CD2b+YgqwnSV4hIxbmzrJMTxlqTzEM26nh43FtMaI3tHOHUTilHz1vIIBYkRATyqDtcdFu275Vi3jZMQx6Jaa6O0yIaUSHoS4vxMicbw1GP62o0dSySS02fcWOuvdEh4eWkofMitFD/zXYoa+5iqEXW4SPjOioM0b2QifXDHGeSjbfz2cf2iumUWSo9zEopxY3PLTkJj+THK+uNKqkz7yaa0RBnvEpTqJ9Gj6c9QgW6Cepu3td24vq6M3SP8M6zB8O6ggZPQ2Dg+HD70Ngofeofbj4MG59Qfp/N4nQDiX+Sov5JPSF92PgJ9zCS+RgN02JDbKX7WexSYdJb6PfqoccrjVWfbPT5eT+kulEgkXZ3q7FXY8PNBQeTIBz3WlugXPpxCBzp3JcA9WHb0Y96mBybOc/vxReZt+bHPOTKjyKhETohxY9VJaCMSioZlrX+jkxCtwCP6KqUlWIBCXmG9oUR114txrlBdNVnIu8XCiFMFoj7KqpuPG/exNhynFlRSvUW6qLqSw82TTB8c6zSXcE96MV8PiA91eUJjmJpLWNojXmdZXiLpyYjSLowIO8tcdxcRy1GTu9YjjyeRSLovOA4uPfQupf0049SIhEdzyuncMUrFui3IARIhy5JTj5fGunpkUURCXVAKpVy0jUKH/Nnp99Tmb2KnXdNmY0FYoPKYpTZ/VzgAAQQ+NfNJ59pKty0YN0ZpiivjaRgTKzv2KVVlrWj2NYuxlMzVWWphi933NTSQuTafFXR9tCJ0emm0FDnqQQqIm9FspBn3M1Xn2N2ev/VvlLlsPhmKdrv9O0okEokz4PgRo7WeAIKZPnoi6aMnkakqiwp3PcOlIK5QtOtZKtj+ZPNSJ1Olup3n51yVRdmrrqfy45+rt9XkrSdTxQkK7ruINFq9+8/bKhIaS/ayU/1otSL0+VvHjbF/QVyEt29jHIW5Jt/6vcqqqW0uIj/vugqqzd9MJxePpYqT36nbfhBQsZr0mhp2Era0/8kuqabHvthK6w7lUkeBYyY8Azim4CwTKDl03vweySxqPooqObUON9usPE8yZWAs1+gcySmjgvJGNxHGj9FujdgX4TZ0BZFLuD+zpEu5MVsTuhtFQvvXWYqEktMFi9kzbkLEdgB5ziKRnB401NdxESwmiTKXX0xVmcv59vIT37A4WHr4XQodeEObHtvtIx+4B4WoZEtWcTWFBLTNzihpP0G9zyd91BjSBSSqK1TOMv6A+BpWnaqtzcZivEswULORDMFpVGo9aePHRQi8l5ZLRFQnoTUY3h1ip73BtnisfqMwJG/jPRQ66E8UnHJh8zt7aahw+1MUED+TAhPn2n0JjkbgbS03ERTvfYXKjnxAKRdsoPBhfyGNkwIX9Ud4aSh64rPq6ycw1yiiocZDocISSWtAGNiXXkIHM0voYFYpBel96P6FI8hH2zFuFsmpBwLAo59vpdJqI71zywyKDnFfXGtKSL/L+QLq6sqo7ND/eDEGI7ctAaGs/PgXZDFVcumIeAxQceJrzp1NPPNr0keN5Zy/mtw1vFgU0u9Kvk/50Y+wBaXQ/te06Xljm4tsQWQM6qJnkuWQt93+CPuI5HOVMHYBFn+At42TEMDNKJyEyDd0tn/CFGNFrYlf/3CbLEABjnGe/Go7ZRRV8bENSibwPDxNSZXi+A8P8uN8usbn58W5hCihwMhxbxdHTiWexdCBxSViIRbC3r6MEh45vmhiCt++46TiBhqSGNZs8dYVkRD7DktDg917qjPIKq6i2/67jmYNjaf7F450W4wVIqEY+5ZIeiqeajdufEDPPpxEIumaFO97lcqPfcJRa+iIyF1/B8e3YaE8cuRDFNR7IXlp7CdFO8xJiLDlz9Yd4zEZsR3CCijyCEVbm+TUgyYr/9hpaj4gxqxq8jc3a4S0O5ny8uZQS2dOwqS6X+jssGV2TkIuHfFVSke0AfH8M9FI6S5wnECYA+baXDKW7ieL2bFjQvmZoXbjyQJh0W/aDIZWZzgVjaWHWhUIBcEpF6mOQ5tH4uYxXWBz96xE4i4oevpxW5rqnHAk2EA8euSzLfTJ2mN8srj6QA797/dD8sXuIZzIK6d7P9jITjVse/F+8DTC3W2pa32kVlnwUe5XtPtf6uKPWlrSYCGfkP6qU08XmEyG0v38eV1lOlVnr6SAhDmkC2xbWzAyA8OG3sYfN0TOUptN0VjsjMCks6nPxbuaLRpBFAXYPzVY3eVeOmV8GehjppK3bwSFhUSp47zNXo+GBnrhx90sEApBt6My3tQ8Qqtr3xZRXnI8r3vly/UkOjKTUDB9SBxf/74nS3W27jypjNaP6eN8odcRGLnH/06VwUzpXSBzc/uJQqozW3gf1lKZisHJuLFoOJbFJZKejrNoKHfxCepjN/UlkUg6nrVr19KCBQsoPj6eNYsffvjB7uvXX3893257mTRJiUETGI1GuuuuuygyMpICAgJo4cKFlJWV1erPrsr4hWIm/Zvipr9FCWd8CGshH8cnn7ecgvtc3GaBsE0i4c1zB1N5TR1d9tIK3nE/8PEmuuGNVTwmcMMZ7Q9Jl7QNDnLHiZE1k7C2aAdl/3GF01wKCHQYsUX4uzOR0Le+hMrrQ9htYUvSWT9w7hUakhNmf9LMfecKpqpMqsz4hcVMc60iZLbkfIQIWF/XPLNDCIdNRULfMKXhOHf9bTx65s78Psab1edZmUYa31AZAizxCP/+YTf9Z9kBemf5QYdf33A4j/akFXOJ0Oxh8XT51L58+0/b0rkcStK9QW7vAx9vtjrYFGHo150ZTkVjV0Fuavaq66gmbwN/7m0VCetNrW/7sI0DAYnzKGH2Z7zQBBdeXUUqGQp3kC64rzrGK9rjTRUneQxZF5BA/vGzKGzwze16/hiLRtyDMXC88lyso8aCyvSfqWDb31V3oFg40mgbBUARsxE64HryCe7r0OmO/VXKRVsp2erMcySkfLXhBG04kk86bw31s2YDrj3YMSPHxZWNTsKmDLRm0W07Xtim1mhJ188kBGcMi+f32on8CjqaW84L8LvTlJHBcX0VMdtVIKwPTgzrMiPHx63t3BAKD2aWulVcYi8SSiehpGcSaG0j9ZSTMCBxDl/rghonwCQSScdSXV1NI0eOpDfeeMPpfc4++2zKzc1VL0uX2k/I3HPPPfT999/Tl19+SevXr6eqqiqaP38+1de3vP9DGauvtR2dC1k1Oi4tERE77cFtkRBh4i9dP4Uev2Qs/WnOQFo4vjf984oJ9MJ1kzsst0XSOmiXPPntKKqxFnWIZquW2o0hysFp6EgkxEmJt7mIKszBzbImIQoKx0ZbQZNl3vo7yVh+VA2k925BJERWFRqVm2KxCodNx4H9wofxNURQV1X0koNv04mvBlFdxTFVeMW4MTIPK9MWu/HbSSTN2Z1aRFuPK+/1FXuy7DKo+L1qaaCP1xzljy+e3If+euFoumH2ILp4kjKC9uKSvc2+R9K9eOXnvby9Hd4rnP5760xKCA+gaqOZ3w+OqMpaTsayI60+LvL8sCAkco00Pq47CbX+cRQ19gkKH3Y3+YUriysZv55H6T/P5u0fxoybL8A0kLHsEB+EYMGouQPbPeKmvk5JZ/9I+VXKIUlkkL6ZiIhxCrEPqC3czrc1Fc98glMoatwT/JxFTq2tkKis4Gqod5Ty+qQ1KS9ZtT+bPlqlvN53nDOULp/WTxUJO0KoEyKhbWmJYMrAGBaP4GgUYoukZ2USgmC9D82wugmX7sygw9llvI0I1uuob6z7x1lqLmEXKC85YfO+3ZnqeKoF1Frbi4Uo2HzcWLYbS3omDfUGjnDyxAm9/bmfh8eXJRKJU8455xx6+umn6aKLLnJ6H19fX4qNjVUv4eGNU5jl5eX03nvv0YsvvkhnnnkmjR49mj799FPat28f/f77785/sFWrsNM5NLo2dUW0WyRE+PA5Ty/lwO9RKZF06eS+tGhKX7dHIiSeR9RbCyeherLo7TzrKmzonRQ56iGHIiFG0LwaTIqTsIlIaKrKoJq8jdyYk7/10TY9X2GFx8/ByDPf1qKTMJzzB4WTxHbsLG762+wcsb9/GH8PAu9dDdPH/YHZWl5iO95sG94vkbgLRhjFyDDC6M2WBvp64wm7+6w5kEPphVUU6KeliycpIyMAQuGAuBCqMpjo3z/ulq6ibkp2cTVlFlfz3//Jy8ZRkF5HF0xQVvt/2JrG7xFbsK3LXXcHVWctV7fpiE9whBASfcMG8TUOGLy89eoYcWuFJ6EDr1cFQhCYeBaFDryRYia/RJFjHrO7v591xbIqc5nys6yxEe0BJ0jIQ8wsVtx/vSID7Z+jn+KoMlsXlIr3vEi5a29tMSdQxFc4yiQUGX9pBY2j1esO5tLzP+zhIpGF45PpnNG9aEK/aBYu8struVzC0xRb960RDnIRA/x0NHmgUszy+97WR04kHZhJ2ES88jSiDHD1/hy1KGd0SiRvK9xFbTjuZCchxottG8R3tSQSGusdT7NIJ6Gkh4P9NFzxHns8L+V/qL1GDolE4llWr15N0dHRNGDAALr55pupoKBA/dqOHTvIZDLRvHnz1Nswujxs2DDauFExf7VE8d6XqXDH03whi4lK9r+hfq7e3gY07o4yxITq2fEi6VoIFVm0G/PqlDWbzxlBvc6hoOT5VGM9EPa3WS031ypv3nJzCDtdbMc9EJKZvfIqqspYSlXpS9r0fEXAPIQ4kZvY0rixX+QoCoibpYqgAmQFBiadZTcOJ+h9/npKOut7l5+TLiCer03WshKtPop6nfsrfyxFQkl7wMkf3ED4H/vrBaP4tmW7MlUnERZgPlmruAgvmdyXAv0aV4XgJnr4otFctrA3vUS2yHdTth4vUJ0+4u87d2Qii8LIJ9x6rPGAAfC4bIOZjOXH+fPM3y6gnDU3NVsoAXVlh3nlUOufoN6GtmFkxraGo8eLGHEPRY19jIukxOiyQB8zhWKnvErhQ+8gT5NpzQFMirQX9rz1yr5BuM5RcgJxsykNFjNlrriUinb9i8KH3kkpF24hXVDzPNneUYoIeTSnjB7+dAu7B5/9fhcLtfib3HbWUFWkmDRAEerWdMDIcYnqJHS8nz5zhPL3RKabyIGWdEImYQeOG4OhSWEsjOPnIVoCjHVz1FgwMCGUs8KLKgxU1iQqxh3wfmvP92PBC+cKiM4Ax3LKqbLW1OJYd9OCGCkSSno6kSMfoPhZ73vs8QKT51Ovc5e1290vkUiIKisrqaKiQr0gN7CtTsPPPvuMVq5cyW7Bbdu20ezZs9XHy8vLIx8fHwoLs5+KjImJ4a+1BP7XEQFkLD3AF7/IMWzmEp/zpcxxxFVruG0BuGJaP/pg1WEO4Jd0Hby8fZqIhLUuheFihKraoBy4+fvq7FajAhLPolyTcoJlm0soXICmmuw2W1obA+bLKKT/1RQ98V9Kc7ITMF8fP+u9ZiUk9aZKtto6Ag5CjRuWe62/IhKaq7NtHkM5mXRWqiKR2ALXbdP2dzgqPrSOMC6a2pdHy3BSiBbjbzefZLfKF+tPUE5JDYX4+6juMlswlooLQNuppPuKhHCnCZDBBcca+H5rqt39hQtQuOgC4s/g8V9D0a5m23Bj2WHyCR1o56yLHvckhQ2+qdXnlfX75ZTx63yXfw84B9GW1jQH1hOIspAkZ07CWiWfD4tYWn108+em0ZKxZD+/HthX4D6O4iYSIwNpQr8odg3C4fT5+uMsaCAf7t75I+xaYWdaR0ExctzU7emx4hInIuHYPlEUGuBDZdV1tMNaZiE5dTjLyvM0+L89x+omFO+xtk7o4LmKfUV7xtTfWXGQrnj5d25ebmtBE0BGIgRQ/FZ70opaEWOdtRtLgVzSM0Hhl1/4cI89HvbPvqGyH0Ai8QRDhgyhkJAQ9fLss8+26XEuu+wyOu+889gZiIKTX3/9lY4ePUq//PJLi9+H492WJmZA4plfUuKZX7R8mfN5m56320c+P25No5zSarry5T8oJkTfbOXvzZunt+mJSNqHl0YRw1SnnZeWc/y8mgS721J+7HMq3PkP8qfHiSjUbtTDJ6Qvxc94m3J2r8ShMosfsaH+9i7A2gK19dJdUAYCLHXlpI8czZe2kLvmz2QsP0J9L95J7UWIhCbruDHG6ZB91ZJIiJITL03HugwkXQOM+8JdERrQXHjOK6uh9/44zEKCj1ZD4/tF06QB0XQ8t4LHx5DrGRnkRxdOTOENPhZbHvtiGy3Zlk6/7MhQnbqXTe3r9IQUbacYVz2ZX8mPL+k+wCmzL1052Z7Q3/5vh1zf7zan0u7UYj6xFjlkQiQU+YJwCJQeeocq05fY5QTCVYftKMZ12wKKS9pSPuVpII7g/Q2SIpqIhFbXIDJ30aSM5mJvB05CsX+y1KHZ/iA7wPXR45vfx8uLs5RzSqr5f3bT0Xz+/7rznKHNRjzH9YtiBzCcWYeySmloUmOOTHspaiGTEGi9NXTGsAT6fksq/bE3myb2V1yNklODM4dbR3Dm8AR6/4/DvHgEUS0q2LWYFGctx1kl1bw9cbf8RDjbV+7LJgwN4RoZqu4iBEo8l+T6Bl4AgCA/bbAiujssiGky1i2LSyQSiUTSWRw8eJASEhLscgU9QVxcHCUnJ9OxY0oHAjIK6+rqqLS01M5NiJHkKVOmUGfhtpMQGTmXTOrDrZtYdZ88IMbuIukaTsKwQX+ivpfsanFFCaPICLn1MiknrwFN8mD4cawNnLa5hLb5GcJp5y5woaB9C05EZ05AWwxFuylv0/1kKN5jdzsajz2VvQHnibdvhOokxMl42eH3nI4b1xtLKfXHqVS4459kqpKZUT0ZuIxu++86uvrVlbR480nV7YFxLJzY3fSfNWoDKpoc0VL84k976cdtaSwQYrz0nvnD1ZMenLgNiA/hE0IIhLGherp25gCHLkJBSowyUi+dhN2PXSeL+G8dF+ZPSRH2junoEL1aXPDNppPq7aJ0RLi1URiiC+zNMQ+2DezI3IuZ9AIF9b7A7nERC5G18uoWnxe2axjhdTSSe6qBCIf/BYh0eJ1s8Q0fQcH9rqTQAdeRuTafb9PqHR9vYH9Qbyqnoj0vUvaqa1r8mfHhAVxO8uqfptJfzhvOkSpN8dF6q9mAGPv1FPhdsfDQkpMQzBmuHKBuPJKvuv4lpwaDKC7RdXwpX7B/Y4HJ+H5tGzUWiIWGtjoJUZ5SZVCEu+0n2tauLfZT/WJDOF8R7EpVWpudvs5O2o1lcYlEIpFITjVBQUEUHBysXjwlEhYXF1NmZiaLhWDs2LGk0+loxYoV6n3QgLx///5OFQndPvK5ZuaAjnkmknaBGfSUCzapLj9XEEUhGrPSgmfrJCw78gEZivZQlP/FdBjZSQ7Gjfl7dW0UCX1CqPeCVZyHdfzLgRTY61yKm/qq0/ubDQVUmbqY/GOmkF/ESPV2ZBrqrA5AT5A49ysWCoGpKpObPxPnfu3wdYXjEHldZUfe57bm3gvgurTPx6qvK2chFkKoLiDBrsGsrjKNSva9RkEpF1BA3AyP/Q4S6pCsNNEs/M6KQ+w8SowI5EIBiIJgZO8IumXuEG5+XX0gl10TcITMHBpHY/pEcbagAG7CRy8aQ2sP5fL3oZikNUt5nxhFLEotkOPG3Y0tNqPGjv7Ol07uwwLUmgO5dP0ZA9m1rToJrSIhvi8w+TwqPfAm1RZuI/+YSXw78liD+1zc7DHrKk5Qbd6G5s1nNiC3BOgCk6mzEaUl8WH+7KCzBb97zIT/44+NZUcpMHmBw0xCoPEJJlNlKjWYqx2WlrSF2cMT6I992eyqumnOYHUMsj1g8QAgs83RAp2gH5xYUYGc8bZyfzYtGOd8IUHiWYQ41dGZhAJkYeLvfdbopHY9Dh4DnGyjSLj9eONoO/Z72P/1sjaCuwIW0YRICIduVLAfu3eRvZpfVkMx1qkUgMUTXFoaN7bNxJZIJBKJpCtRVVVFx48r+eEgNTWVdu/ezQ3GuDz55JN08cUXsyiYlpZGf/vb3ygyMpIuvPBCvj9GmW+88Ua6//77KSIigr/ngQceoOHDh3PbcbdxEl73+kqqqGmeR4gVcXzNHTDbPX78eFZq0fhywQUX0JEjSnZXS6xZs4ZVVz8/P+rTpw+9/fbbdLqD7D2cNIkm35q89VR27NNmRR+2iKIQXX1zkbAmfwtVZiyhoEDlwLDEmp3EP8s3lEeZcWKJk9b2YEGDcIOZNLqWT+a8fcLUDEMBVrctxlLSeDAbCy3JwimJE2jkhWAUr2l4f8H2J6j8+GfU67zlfMKKk1LbNmSQsWwBpS4eR2k/TqX0JbMof8vD6tdq8jdT5m8XUmXa95Sz6joq2v28x34HiecRzaYYGYa7AQUiS3dmsEAIR+ATi8bSc1dP5NEquDhunDOI3rhpGj10wSgeEbQVCAWxYf7cDj8wPrRVgVCcbIHMomrOOZR0D7Cd2iZEwiajxoJ+cSGcQYaT68WblWxC//gzqO+l+zj/T4CiKV1wX7v4A85ldeD0EeKicCQ6wlSllCTogjpfJMxykkfYFN/QATxaHZjY2ALXzElYV8EuyZbiNtwBfxvEq8BdJdpn24soLQoP8mvx/x9fO9uaW/n+yiOUV1rjkZ8vaRn8LxpOUSahAI3nF03qQwE2+dBtAfshAFFOjPK6w7YTikgo9ltwE7oDxviR54joDZQQoal7YIKy0Lo7zd5NKF5jR2Jso0goMwklEolE0jXZvn07jR49mi/gvvvu44///ve/k7e3N+3bt4/OP/98bja+7rrr+HrTpk2sfwlefvll1sEWLVpEU6dOJX9/f1qyZAl/f7cRCfPLah2Gd5vMFh4XcgeIfXfccQdt3ryZLZZms5nrn6urnZdEQJ0999xzafr06bRr1y5WY++++2767rvv6HTGYjZwfh7cb6Di5HdUuO1xauC4aMd4W8Pg/am4Wbsx8gbhNIwPD7JzeQC43jDK3Hvhagrpe1mbn3PZsc+oaPdzrTYb83O1CoEY8RWgnAXj1bbjz+3FbChmAQ8uQeR8aQN7cbYVxp1tgQhrKNzOJ3B+YUoTZl1F4yoCGpvROOoTOohCB97ITaNhQ27hr1XnrKHsVdfij0bRE58jv4jRrYqkEs+z5kAO/fntNbTzpOMwdVvQggrgCnzrz9NpUv9omjowhl64dhK99qepNGVgrEtCX3uAQImTSGx/4SqSdA9O5FVwQQVOeEckO8/2gmAMlu3KoPKaOn4/waltW77kEzKQks9bQYEJc9TbspZfQpnLGoVEgWh8rzc5dxOZKtO7kJPQcR6hI8KH3u6wuASEDryBYib9myzmKo85CeGCOtvq7sLiQGtgLHhfejHttV4cHRsJkbClUWPB+eOTaUhiGJcioYVZNh13PHWmevXo6VQ5CT0FcnORc9nQhngKRGgcy1VKR0T8hRANXUWMOadEB6sj/GLk+OPVR2nV/mx1YUOImBAkmzqIG4tL5KKYRCKRSLoms2bN4n1a08uHH35Ier2efvvtN84XRO5geno6356UZD8xAOPb66+/zqPINTU1LBA2vc+pxuXl0U1HlBwgsapou9KJk1aM1oliC1dZtmyZ3ecffPABOwp37NhBM2Y4Hr+Ea7BXr170yiuv8OeDBw9mBfeFF15gK+fpirkml7JWXEphQ26nyFEPUkM9TkC8yEujZBU6AiKgLrgP9THvJy+61M5JiNwnZD71jlZEwrQC526UtlJx4isyluxTn4tLRSc2br16Y0mz8ef2Upn2AxXtfJoix/ydP9cFJFHexnupocFMvef/od4P7hy4DPk+If34uq78OOmjxikflx3l6+A+iyhs0A12PwNjhFp9LMXPfJddMcEpsBsrB8cWcy1ZzDWk9VNGniUdA9zQry3dzw7of3yznV68brKa4+SIIznKSRNcf8gxe+ry5mUIHQ1EI7gJ96QV84lf/7gQdRwM4uGpcrt0BeCQCQvwtdtmuQsEF/z9kQl4KlqNR/eO4Hw7Z4zqHcFjgjjBXrItjRaN0pCpOpu3KWIRQQjRiGmozd9IPsH9qa7iJAUknOHcSWgdW3ZEcP8rSR8ziXxCOj9GBCONrjgJW8M/dipfF+/6F3n7e85lftaoJPpkzTE6kFnK+0Oxb3RU+vDgx5vphI04o9V40QPnj+QSEkGxddw4wpr72xIQWh6+cBTd/r91nBeHtvSZQ+PpYGYJCyhoyEamncTzzcb4j/PxwHj5qQb7s+LKAt6euFO2I1yDfWOCad6oJM5JRemSoc7cLDOwpYUR5TkoCxXg3DG9uHwnv7yW/vX9bs7rfeTC0TbNxs1fY7W4RDrnJRKJRCJpxsnvJ5F/zGTSx0zma6FNnFIn4VNfb+cLzlFe+HGP+jkuzy7excHsN88d3K4nU16unIhjFtsZsGfCbWjLWWedxUKhydQ81NtoNFJFRYV6qaz0vNjVtYpLjKqz0Mvbt9UxpujJr9EzmY9QA2nUE26cgJoNhezUwEowyCpuHHFE1l7Rrn/Rsc9TqPz4l21+zraFI62JhEIIRFGJQKuPo5QLt1DY0NvJUyA3kH+OsZgFPn3UGHajNJjsR7wspir1JNwvYhTFTH6J/OMam719w4dR/BkfU2DS3GY/A2Phvc7+iQVCgLwwNCTjdc1Z/SfKXnmVnWNS4nk+Wn1ELQ3AySCahkXmYFPwvk+1nvBDJOxMUqzCRKpVtIfj409vrqZnFu+i04Ul29P4d8a+p+lI+I3/WU0r9rhWIvTPb3fw46ABtK1gpbAidTEZy5Dc2hw4vlbsVZ7PxFaKvbA9vtTqJvx5RwZVpH5HOauvJ3Ntgf3PtJgpf/NDlLP6Rkr9YRLHNfiGDHSYzQfQ9OsMxCgg41XEVHQmwq2O8cT2gr+Ll86fvPUt71fcAY4/NJaDX3c5dxPi/QeBEFmDyCTFmLLZ0sDCyA9blVFyUOKGkxAgx+2e+SP4Ywg3d767nv7z20EeQb7zvfXteh9LmiPEK7jZ4CTtbvSzxlO4+74QIiFavVGyFBOq58zAPemOS0ccIX6myEYEaGv+320z6bpZA1j8O5RVRu8sP6iKsY4WuWQmoUQikUgkzgnpdyWZawupcPuTlLZkFqX+OI3PEXBuYqppXzyOyzaMZY8r2XPXvr6SXr9xGoV4eNUaB/WY4Z42bRoNGzbM6f3y8vIoJsb+ZAufY1S5qKhIbYqxzT186qmnqKcjHIMigxBOQi8XTvwaAgZQrSWNPxYiIQtUFhN562N4ZAXNrBBU4PRgt5WXhkoPvdMsI9BdkGsoaG3cGIUfYUNus3O8QFhzNnLWVrTWEhScNEdOUkahSw6+bZcBhiIAjDoLkRCuP8UNaD/qF2AjGtoi3IaOfkf/+JlUvPs5yl51PSWe+RU3Lks8C1wOYmQQWYJw5WB897EvttIrN0xt5k6Daw8n+djm4YSpMxG5hGKE7KdtacoJXFoxO7q748msO0CceePXA2q2VUZhpRqo/9naY7yY8fLPeznvcXgv54tNcMXsTi0iSwPR91vT6IGFjWVI7mCpKyND0S7K33Q/6WOmUuiAa0kbEEdeXt6kDUik3w+UUU5JDb93zhjWesGSaDUtrTaSyaD8jTU+Qc22E5Gj/kr66IlUk7uajCUHKSCxebCxPmo8RY19klvknVFbtIszV7X69rWptpdqo4lHsl0dN26J8uNfcGZswhkfq+UungJuKLQM/743m/40e1CzAhO8rz5eo7jIUUCDfDn8X7712wH6aVs6vfXbQaqoMdG1swZQkZpJ6Hpb3vTBcXT++N7swgr009LgxDB+z+eW1tC9H2ykexeMsHMrStqOGIPtrg5t4eITrj5XqLc00A6rSDi+bxQvXIzrG0W/7Mhg8RD5uq4cy4tx46bufPy/XDm9Pxc43fHuetpyrIBmWd+vfi04CW1zCyUSiUQikShEDL9b1SYMRcKKQXUAAJjbSURBVDu5U6K2YAtVbn2UI9l0Ab1IHzuZYiY8Qx2eSfjxXbM9LhCCO++8k/bu3UtffPFFq/dt6o4T2SaOXHOPPPIIOxTF5eDBg9SznYQmVSTUeLcuMFUbzRTqXUoLI34hL0Ou6myLHP0IB8PjNe3dxL3k5dX4thFCWVsQWYIJsz9j511rRI56iIJTLlA/N9fkcw4jgvs9hTZAOZHHmJ9Aow1kkVC8z+AibHryjq9BybdtFoWb013Ch9xKoYNuImPJXqrOaRxv7oks35NJ17+xisWaU0WD9YQd4tCMIXGcJfj0FRMoPNCXhUJHpQRi1BgFJR2dO+iOSAjhHrmKov2x0IkTsqcAh9arPyvxBBBIwHKraxAuUFEOghPdp7/dQYUVzl8PODDxHgB4DR2VcbkCslJD+l1BgckLqbZgM+Wuu4XzATN+PY8qstfQZ+uUnNLLp/Z1SWxALqwQeuuM5U63sRD1QvpeSnHT3qTeC1fZNb4LfEMHUujA61R3dFOwoJS14hIq2K5EK3QmELoA/g9RctAe4KDHIldLDsq2gpZypcDExE3DTVm8JZXFTiwmzB+n5Dzi73n7WUPZQQU+W3eM33MikxBZo+5w21lD6LO/zKFvHpjH2y4s2o7tG0VGs4Xdip4qVjndESKhI/GqO9DPKtBhNF60B7cGtosVtSZeKIMADSASgm02jcctgfc/MlXxvhfO92bPLS6EXYZYfPttt5KjLZ2EEolEIpG0DWg3MA9ANEyc8xmlXLiZzVWYjES8W1twWSQ8nF2qnoTZnrTBWbjoxRX0ys9729y4edddd9FPP/1Eq1atosTExBbvGxsby25CWxAGqdVquTa6Kb6+vhQcHKxebJtkeqST0KKc7PqEDSE/J461prlc8b45NC/0V6o4+bXqggsb/GcKiJ/Jn6e0kEvYnmB4jXXcGNmHmja0UFZlLeccRmOxIhx4Am/fCD7JrDj+BeVuUNR5zgNrsFhzHpXXOnL0oxSYdLb6ffmbH6DU7ydypiCEKDQX56y2zyJ0ldAB1/B1bd4mu9sbLPXc2NlTBMKXftrLDhiMznkCCD23vrOWLnzuN75c9PxvHIWQX1ajvtf/u+IQ7cso4VHAm89U4hGQSQeHDsiw5qLZciS7rEuMGoPkqEA++aqsNdHXG06wMNC0+KEngqD7l5bs4SD+BeOS6b4FiigGRxdGepfvzmTRb3BiKG+vyqrr6J/f7HS6T0KumwAN1eJEtaXxuZvfWsPvr9eW7qPf92apj+0bNoTipr5KvReupcgxj1PEyAcpYsR9tCUnmMVLuLHPG+taMQhEaCGAwkmIbZFtcYknMVVn8XbNpyuUlngoj9B2v1K872VeRPIk3hovfv+B/604RHnWbYsofPh64wn++IYzBtrlT+LvCgfVZVOVcfJXftmnbmtcHTe2fazIYD9VTEYe6T8vH0/zxyoNyDgWE9s8Sds51c3GngZCNbYlEOIyXCy6Wm8VmFEyIkpERvWO5ExN7KuzXdjHbDuhnCf0iQlq5rS1Zc7wBLvxZkdirDpuLDMJJRKJRCJxiqXeSDV5G6h4z4uUueJSSl08gaoyf6XAXudRzKQXqUNFQgR2n8xvFImQ0YWxLhxM4MAXYwNfbVAOkF0FYgochIsXL6aVK1dSSkpKq98zefJkbkK2Zfny5TRu3DjS6drnQOjOQLiC40SIhTET/o/ipr7W6vfV1JnpUM1gKq8Pp4oT31D26j81O7Fq6iS0Be2bbcUvfDifYJtqFDdUaxTu/D9KX3qO+rnI7fNkuzFOwHRBfezKR7x9wlg8bDDXqqJh2OCbuOVZoAvECVoDlwiYa3K4LMDHmjnoLtqAJNIGJFBN/ga724t2PUPZK6/hzMjuzMp92SwQiuZIlB611clly/rDefwexXsaF7hkVx/IoRv/s4ZPnJE/B6cPuHrmALvCisQIRezOciASimbjriASQngQmW3id0ErpDOBE6C9+YY3V9HutFPn2PQkcEY9/8MeFgEx7nn72UNpYv9oCg3w4bHcrccK6FeryIdRzCcWjeOIBGQUfr9FiVJoCr4mRFfw8450diA6AqPcD3y8mV9fvL8wevfvH/fQk19tp5x1t1PW70rDuy4gnsIG/Ymbd/0H3k4fbYWru4GumNa/xZPlpgTpfdRW4vY4tesqUunk4vFUsv+NlpuNgxRxqTMR711koLUXkXWLdnksJHmaCyem0OCEUN6+/Gux0jQM0f6lJXs5Xw2FQigVccS1MwewkI0FCwjZICLQzyPi5W1nDaVBCaFUZTCzoxAFKpL2ZxKKkdfuhii6AifyW88lxP7hu83KPgUue4Gtq3BfRuu5hGsOKEKjWHhzxqxh8XbxGHBRN8XXKrTDKS+RSCQSicSe4r0vU+aKRXTy25FUuOMpjoELHXAd9T5/PReuxkx81m4Ks0NEQoy3jU5pdOrh5BsHpPfOH0EXT+rDB6hrD7o35nLHHXfQp59+Sp9//jk7/OAQxKW2ttZuXPjaa69VP7/11lu5Phr5hYcOHaL333+f3nvvPXrggQfodAb5fH0v3ctvBnfAyQpKSw7WzyBzbR7V5Kyi6uxVdvdp0UnYDpEwMOksfgsWbHnYpfvXG4r5xA9uPZEHxs/Bg+3GoNfZS4i8tKQLVFytUWMfoz4XbydvP+cZZz7BikOkruK4Ki46KhNw9eA+dOCNFNL3cnYPijHysiPvc/Ox7bh3d2NvejH9+8fdLBBC8MFJDMSZDUfs3cFtAQsV4NLJfeiDO2bRS9dPppG9I3jU6tddmSwoJYQH0JOLxvF9bEm05qBlldg7JaoNJnUUEuPGXQFRJoTfy0erobNHJ9m5sZouxLz3xyHOxft1Z8tuuc6kpMrAYjHEIuS64aQQrhU4/OAGRa7b3JGJdNe5w/jEEi4X4UR5c9kBKqowULBeR1MHxVJcmD/nwYFNR/NadBLCTQpBMa+slrafKODXCxlem4/m8wWZj49+vpW3k1N6menxCwbSxZNSWJjdcbKIKvN3q/EDAjzGJ2uO0jSfr+mZlMfprJGxbr0WeD7A5BXcYp5ga3hp/ajeUKS2wDfFVGUVCbuAkzCrA5yE7XW6OwPvvYcvGk0Bvlo6lF1Gz/2wmx2m2P7gvXnLvCFOs0H5ey9UvlfgTiZha88LbbEQdQ5mlfLCrsQTmYTdUyS0HTluLZcQztNnvlO2s9iuzrQRCcGQJEUkRNlIS8BNu8e6GGUrNDoiPNCPxvVtzKJ25NhUMwmlSCiRSCQSSTNK9r/O5iRMMqHLIHr8Pykoeb5HssZdnqPASnloQOPBLEb2RFaJOIFuKQPKEW+99RZfz5o1y+72Dz74gK6//nr+ODc3lzIyGpsE4TZcunQp3XvvvfTmm29SfHw8vfbaa3TxxRe79bN7OoU7/sEnf8ikagmc/IITXnNouv9WCkw+jyJG2guuva3FAAhax/sA402ByQuoKn0J+QTbiy3ugpNYbxfLR5D/xd9jLOVikUYnoXK7pzDX5nJjqOIObE51zmoq2Po3ihr3FAUmKu3FPiH9+Lqu/JgqnLbVSQjCBtmPKtfkb+brwF7nKs+xJp+0/q2HiHc1ftyaxo4wnIRA8MHILBYgsMBwzui2O5ow+gmRCcwaGk/x4QF8ee7qibTpaD63xY7rE0kLxvdWnXe2CCchRqrgDBKjVshoarCObtlu/zoTCKtYpBEnYnA1Ldme7tBJCBFDhMgfz+2c9lO8nnDuwY3iSDxBNttd761XiyscMXtYPC9I2X7/vJFJ7HwRBRBnjkxURzzhNHzjV2VUvKK2joKt7jzx8worDKTxIhrWK5zmjUqkxZtTeRT9v8sPNROKwfQBoXRZ/dXkmzWEpp3zCwvbv2w7Spq6XNLFjlXvh9uReYm/x3lh3hSsKSNL+SEEqrr8egXqFZEwN/EZGjay5fiNlvDWKWJyvZNsPlOVsl/VBXW+SChG5dtbWmLrJOwokRDEhvrz+/Hp73aqi6NYgHjw/JGq68qV70UeoSfHWVHYc895w7nt/Mv1x2lU7wgaleK5hufTCdG669dNx41ty0uwH3MGFmT+8c0OzhFETuBfzhveLHt3iPU9DfG5NTc/9u9w02L/2xpzhifSVmvWocPiEuttGP3mxvIeXswlkUgkEok7xM/6gDPRK09+S0XQfoJSSB8zkfMJcUG5altx+egnLNCXVxsxogcHC044r5nZKILUGs3krXHP4SSKIFriww8/bHbbzJkzaefOnW79rNMB1F2jZCMwaR6VH/9cadtsVSS0Fp34xrA11dFBGILk8XdHvlZaQQUNT45QRpldGGduCZR7wL2Iiyto/ZWVaVNlKo/21RvLlMwuF1qc3aE663flAy/lALWu/DjV5G+kgIQzlZ9rKCZzk1px/FOi9Rm/k8ZbeT62TcxtBeUCKKWpyviFPw/qdR4V73uVSg++Q73OXUo+7XAanWrgyhNuv8un9WPBByLXB6uO0O7UYnYhtFWI25tewic7yH8TJ0YA72eUk+DSEsj4Qk4hMv6QMyachWppSVznjxoLkPUkgBtTCGOOnIRLtjWO20L8wt+gvcUQEGS/3XSSSqqMFBWsp+gQPy5OsBXiBHCm/PObHbT5WAH9afZAumyqIqYLsC/5v+92skAId1WDzcIFRnSjgv1Y8LtxziAeqWwag4ARcDE6bCsyY3uFUWKU0WDcGsJx04zJ5KggFmjmj01mkVA4RuHOxGMLQXJMSiQtGtVAWb8SGUuV4itEbOzZv5E/LjDFUJz1dcEYMkQjfOeQ4WcSZS+j2sKt5OeGSBhk/ftUGpRtc1vxQs6rlzdHHzgCjmwvbQBp9S07fk6FiJxjFWY94ST09g3nha7iPS+QRud+1q2rTB8SRxdlpdAPW1Npwbje9Kc5g1weTcX3/ks/0eH/THvBqDMWTOCehsvxrT9P7zILHN0JOJq7u5MQ0z7gaE45OyMdCdKIrcBCEgoJ/37pWIfRCEL4xkJU00UXW4Rg3pqLUDB5YAw7X7HNb6m4BPsRZCvqvKVIKOmZIB7iya934MSYnrp8vFM3ukQikdiC/gjRIYHJptqCbdxuDJ0gf+O9bATQR0+i6PH/oA4TCeEafG/lYbpxzmDaeCSPd95wYQiQ1RQf1nEH5JLWKdr1LI+nBSSeSQ31RtJoW886EifkOFBraZUWJ80QCfF3hkjoCSC2uYNflOLYqS3cQf6xU3nEWuvvOPupPTQ0WB0E4SOUn1e0kwq3P0G6gCQWCcVJt21eGMoFUDNuqkwjrT6aBU0UwLSH3A1/IUPhduq9cDVna/mEDCSfkL68MlCy7xXK3/wQJZ75ZbcZP8ZIMUQhiDdihB1uA7gO4HTYcDjP5YKHpiCXDozvF90mtwEOyBIiAtnVCLGoUSS05hEmdI1RY+HqgAMpMTKAPxZ5TXCC4CLa5yG6rjukCPDYXuN+OBnECHZbgRAG0U+4PwRopX3skjE0NMl+JP+ztcdYIAQoqIGYgm2N4J3lB+lAZikLhGhpTYgIYCGzvqGBxbLW/pbnjEnivxEcU72aCEzYZ0EkRDC+rUgoRo0HWk+g4QC76cxBfCI9eUAMTRqgnLjaUpXVmINrNhRReGAknTuonqicaFWqL1XE5NK7f6DIopZD/h+8YBTNGBhKJ755mHfYKIJyFTi1vchCIQUfUnX2LApIOIPaAl47bKOctfwimiJ6wv91+vYD4jYEAIgxEOvbi5dGSz7BihgNEbQjwWjxDbPtS0pcBXnOHcWtZw3l/yuIOi/+tEeedJ6GmYRi24b4BTjkIRw7WizbdCSfrxHREBPq+Bge+xQ8VnZJNR3OKqMJ/aMdRkbsSy92SyTEfumMYfGc82qbEWz7dQH2X46mACSSngCyPMVxbEFZLbvCJRKJxB0wyYhzBv+4GRRQvIeqs3+n8mOfUvnxzzpWJLxu1gAeSXjwo0284vfA+SPtdtjIjhrTR461dCYoLYHzDAIhf+7tnkjYEilRQbwDc1Re0lZ8w4exqBk+9E6X7u8XNpSdg4bCbfx5/Mx3qSMIHfgn8o+ZzKUqarsxO28Ut4sQCZuKgIlzv2IXC05SRW5ie0AhC3IGyo9/QRZjKQUOUEbw/WMmUUj/q/kfv+LktxTSdxF1B1btV0ZkIdjYij84oYBICBdCW0RCOJK3WpvXJ/ZzbXTdERg5FiKheNwjXai0RAAn4Cd/mY0FZ34dMQ4nnL4QXEKsizdwEkGUxXOHIw+jYEdzy9osEiquv10sEMJ1OX9cMpcvYAQNJ6EPfbyZS0XE3xCLSZ+uVXLR0LKJqAKM4YqGV+wz8DneCX+9cBQLhOL3c5WzRyWxmNhUnBSCMcaRd5woZCeKWJk/7OBveulk5Tk5A9spuIXxv91gVppjx8VVU3U50d7CYPr1O8XZDifrAwtHqftClDPVFm7jsiFXxThkEvpqjNSr8mOqyjS0WSQELBI6cRKCzhYIRXQJcDaO3hawrcZCjc7fvTzIttAWgbCjgbD1t4tG093vb+D/1x+2pNJFk9oXDXL6ZhJ233Fj7B8m9IumH7el8fFbU5EQi0qimAv3awksSEEkPJRV6lAkXH9IGTXGdhUj9a5yy9whLJjDMd4ULLhgm4DtN0RCkdcqkfQk8P7+Yv1x9XP8n0mRUCKRuArOMYzFe6mmYDPV5m8mQ+EOstTXkFYfSwGJ81jTaAsuH/1gXOWl66ewywMnpU1Hvx69ZEy3PpjqCWAstcFiVFt4XREJ0dAIAnxbPvjq3UJ5SVvRaP2p9wL7kpTWfr/YqW+QT3DrLdjtPbAWAiHACLetSFjvwEkI4CBs/J72j0D7x0yl8qMfU4PFTHEz/ke+YYPUr0WMfJCqMpdR0e5/cS6iyGXkohMvTYdk96DNHC6C56+dpLrVXAUug93WzMAzhimFE7Yi4Xt/HOZSk9IqI0cbuJtnBpEKixaj27FQoTYcFytju/lltVyIgW3dgC4kEgIWU2z+xBjThEgI5xAc3hhd+WWHUkyxYFwy5/BBJDxmHZ92Fwimz32/m8s88Do/edl4VQjDQgPcSnj815bup49WH2XRUryOaByGW/SFn/bQd5tP0vnjk+lgVhm9+ss+/jpiKyb2b1u+Jt7n05y0aA5NCmOxBGPRqfkV1Dc2hDMDxWsgRvGagv9vL4ILr9GZ6BvSn3ovWGl3v+hBV9OywhjKPxnII8oQGhdN6WOXYaaPnkCG4l1UV36UfEMb/39bAifCeo1oUm97uzGInfKKQ0c5cgoRSQFHNoTMzgRRAWC4zWRCeyk98BaPW8N1fbqSEhPMTsfXl+7n7StKfZw5xSQ9M5MQQNCDSLjteGGzXD8soCDiAc7+1ly8KC9ZsTfLYS4hHneNddR45lD34gvgFnTWhMyLYDpvqqkzy/ISSY8FArttpjREQkS4SCQSSWtkr7qBDEU7eNRYq4/hPMLIsY+xMOisW8FV3LYRwOXRVCAEyCiRowCdi5fGl52ElnolyF9k43nESShEwsJKl7IkO4rAxDO5SRhiWOmhd9VCj44EYiawmKxOwjrHImF9XTlXkRfu+CeZa+3HMdsC/tEh+ME5id9bF9BYYgAXY+SYx9hhWLT7Ob6tJm8DpS2ZSZnLFpDR2rDcFPztqnPXUcmBN6n8xDc2z72ixb8rcvqW7crkvz/cX+4ClyBcBijZwPiTLXAdwH2Ar3+0+ojb769tVhfh8OTwdi1UJFqD1oWTUDicUMrU1UfOxKityCXccrSAyzkg5uKkrb+1mflYXttEwo1H8mndoVzexj+xaKydaxzbDowa33DGQN43wJ0CZyhOsiH8/HnuYB4piw3V89feWXGIR5Yh2MFVesV0+5xCTzq8MIYMcIIsXh+ccOLv2SvC36HjN+37KZS+9JxWHx/FQefMvYoevXQSvXf7LLp21oBmgkLIgGsoef4fHBXgzrixKhL6tE8k1EeNsVvwEJgqTlLx7ueoJnc9dSb4X99v/T/zVIyFaDi21HVOUU9X4rwxvdg5jHFujPtLXAdxDcDdBbGuxojkcBbiUPAEp7wtiGIAtiWEzsC+W8Q1YBEK4HrNgRx2rIr/Y2eCX1sRI8ciVkMi6UnARfj5umN252EQCSUSicQVcJ4QOfphPtdIuXATmwNC+l7WboGQH7vdjyDpMnhpdNRgMZHG249CB1xP+ujxLjsJWxMJEyMDWQCAqAjxoTMx1+SRoXgPFe36P6pM/6nDf546bmxSBJiwQTdR/Mz3momEOPEu2f8alR153+UyltZaOr289ewYZIdgE4KSF1LooJsodMC1VJn2E2WvvJrqDSVkLDvMQmHp4ffZgiyw1Bspf/MDlLPqWg71rzj5tfq1vI33Uvovc6muIrXFUWHw8/Z0zqZzB/H9EIsccdWMfmyMw4jsVxtOuPXYIseltXGp1sB73FYkhLMRDO/lOfGio0VCsRr9k1XIPWtUEotlcPKBnJIaHvt1B4h5EG/BpZP78BivI8cHymi+uX8u/efmafTUZePo/oUj+BpN0biI0pKlOzNYqMPJK+7TkQHd4/pF2Z0Mi/FxCL+lu/+PTnw9RHUGC3TBfchcncX/L4KMZQspd91tVHrof5S5/GJ29xrRZN5g4hE+R3la/FgBCdwAj9cH24/iva9Q/pZHHP4/CzA+7acxuOQkxInz7rQiHgV3BBY2TNXZzYR3U3WW9fm1vT3ZE+B/rbTayOLzQKuQ7QmwqlpvKPLIYk13Bu+7q6b354+xyANHscQ14GoXeavdGWz/Rf6lKA4T4oTYLjrapjelV1QQHyciqxETJbi+54ON3KSNPFf8D6Ocytm2sK2oDcdSJJT0QDCdgRgnfx8tXW6NYhFFXhKJRNIaKJIN6Xdlh0xZSpGwB4GMP7/wYeTtF05R456gwKSzWv0enKwD7KBaAgeASdYyh9QCx0H4pwI43lJ/mEIF2x7jz719lDHbjkTjG0Z+UeNJa823QnlIQMJsLk6xRRfcmGsmgvPbS3Cfi/karcmOTgCjxjzKTiH/hDMoMHkhJZ+3jJLmfsOFLkW7nqF6o7K6b67Jp+zfL6fK1MUUED+bEuctpvhZ7zc+35C+LHLmb7q/mYABgWHlvmzlZ+LkqdrIIcuuggMeuA9gQJ4xxLFIiHHT285SHE9oOxY/rzWqjSbV8ecoJ6kt48b4/RCrIB4XYlZXJ8n63OGUwwUh9fhbnTe2l+r0hpMPHHfTTbj2YA4XgCBX8OLJfVp1mmOsF+Uf80Ym2eULzh2ZqI60QdT8+6XjOjzPbVxf5T2BEofVB3I4BxHAuYrGclCV/rP97xA3g69N1v85/D9AeMcCjNlQSIainVSTu44yfpnH4/6uLGpk/XE1pS05g0r2v0oVJ76kunJFdHVEoK2T0IlIiP9J/D43vbWG/vrJFnr/j8MO71ew/QlK+3GamqPYTCQMTOwieYShHfJesJg6b1/VVcD2C6P3EJKlm9B1EFPQE0RCMMG6WCKye8GJvAp2dqMwCKPErYFFYuEmxMjx278dYHEQpVNXTu9Hn/5ldrP2ek/ga90uSCehpCfytXVRfMH4ZDUnObvEfn8tkUgkzjAU7aLqnNV2t1Wc/I5Sf5xOJ78bx8YEW9ODO0iRsAeBtsq46W+59T01RsVVhAO91ugXpxR1iMbUzgBjtj6hA6iu7JDyuW/HZ8Xp/OMoae7XakFIvbHU4ZiibZGJJzIJQdToR6n3wjXkGzqgxft564IobuqrbC/2ixxNvc75mWIm/ou0foqDoPTw/8hQvJvChtxOcTP+S/rI0fw9jT/nb1zYgvw03NcWnEzAoQaheJF1pfP7LakujwWj1RiM7B3ZYt7g+RNS6KJJykoIMu4yClvPvzyYWcpON4wwo32xPSCXU5wQ7kkv5pxDCJuunEB1NsgkBPnltfTtZmWsEEHwtgHy/eOU/xWMArsKxsk+WaOMwlw8qU+7guPx/nlg4UiaMzyB/u/KCTxW29HgfYExcrhmnl28i8VCMZqeOO9bzm1F+Q/A+7n8+JeksW5TjKXKNsZckwu1iXSByeQXMZpvq0j91uXFgNJD/6Xa/A1cKBXc51IW/kx4zBachDX1/nTIMJJ8gpqPC1QZTHT/R5v490EOJVi5P5v/D5oi/seblpeYqxSRUNvJTsJ9HeTWDR9+L0JsebHkdMfWTbh0R7o6RitxDrYFQiR0NyO3KyKcgsgUhjBoG9MBl6GrUUEoFwLfbjrJrn8sRD1+6Vi6btZAzi3vCOS4saSnAuEbC+giOzreegyLeB8x0i+RSCQtUbzvVTYyCPBx/paHOXM8bMitVJ39B+d0twUpEvZAMIqbufwSqsr63WOZhGInBuDywk6ss9BHNY5Ri8KOU0nWikWUuWyhw68lnvkVJc79zmM/C2UtbckVwIh0cJ9LbB7Hl2Knvk6Rox5s5oAURIx8gBtcS/a+zKOUgj/2K64+uMMumdyHm21P5FeoLqDW2G7Ng5s0oHWn381nDmbXCzK04IZztfTAU24/4SbECRCAK661Up+uAE7Qgq2i22/W575gfG+7+2DEFsD90doJMpo9cfltdxbn4yCX68KJ7bey44T0oQtGeXwkrSWwQu/vbaT+UT507phe3PqKk2YIaIG9zmVnYF35cXb3FWx9hKpzlDIlsdM1VaXxtSLAj+KPqzKWKrcFt94Yi/b2mEkvUMoFGyl6wjPU55LdFJgwp0UnYaqxD72T+2fyi5rQ7OvIBIXYiZNnlL5AuOWW6czm/48a68IFHNi2mKozWSD1ti4idAZ4n+1V8wg969aNGH439b/iuMcWa7o7yBCFS8VotnDjt6RlqgxmdYS/JzgJsb1FrjSWEbZbxUF38ghtG45BXpmyOIGmejHK3FH46pTTFDluLOlpIG4D/5NYMI0M8uNJC5SgYcEPxXkSiUTSGsbSg+QfM0X9vDJ9CZ+rwCgUNvgmniytyviF2oIUCXsQ5Se+5vEys6FIabpxIbjdHZFwUEIYn2xgB+Zubpwn8Ysap36s8Tk1rbMoIyk78iF/jAwzZ2OAaDNFWUBXI3LkgxSUPL/F+6AFNWbyi9TQYKaS/a/zbfhbr7bmCcIBhrHVM0cq7qPFLpxsQmgSgeaunIwgn060nKYVNra9OWNfhmedSMKNKE6kPNm4eqrchDjojA/3tysXASKX8FiusnLtjKe+3kEXPPcbX0QDMU4Gu2t7/dzEDHo+5a/0zLxy+st5w2nm0HiqSv+Jsn6/gvwiFNEPbsKqdGUnGj7kdhbQ6oRIWJnB17qgZHYVa/VK7ABAiVJrIP4BsQFoS/bSaMnLq+XdLpyEAEK5oxNjcXIPQf3qGf1p8oAYpw5vIRI2Hbv1DRtKxX7TeLQfLktPg5zE15fuU/cvjrBtDxdjjJKOcxNiJFS4wHecPL2zGlujtErJbkTEQkdHIpwqRBwH/uc/WnWEDllbit0RCdEILxJkERGARYqORpSGyXFjSU8jo6hSjV/BNhrHv/FhyjGoLC+RSCSuAK3HdsG/tmCrGpsE/MJHtji91BJSJOxB1OSuofKjH1ODdRQW7jFPioTgSuvY0oo9WVRY0TkrXfqoserHuoBTM05WcfIb1ZmJ0b32to6eCpcOxom+WH+cXlu6j9tk0ULYGhhDjp/xP4qZ+Dx/vietmMeusNIpSiAumJCiBi6LcHdn7E4tZrHDnXHg3tYm7fRWxo0NdWbVFecpJ1KiNXdTTG52J5FQlJeABWOTmxWC9IsNUV0gFbXKyFlTcPumo/l2t/WOCqL5YxUXcXfEN2wwUYOZagq2qLcZCrdTbcFmzhYNTF5AvhEjqDJzKe9o9dETqdfZSyhuhjJ2b6pSSmCEo1e4CTHO2hYnXm3RLirc+XQzd5/6fHXeNDl4K10X/SGVl+U3GzXGiD0Yb/1/nDZYES03HM5rJviJxQzRyC74o/pi+vveC3ixB83jnt72QFz+eUcG/bzDeRO6XXt4NxWguxOIH5g6KJYdck9+tZ237RLHlFhHssM6aIS2M5g9LIHzB1E89/n647yPwz4jxiaSojWQMYtFFuTbPnzhaC6k6mjkuLGkp5JhXQi3PXZLCFf+H2V5iUQicQWch5irlQmyhvo6MpbsJ7/IRrOSxVzFBoW2IEXCHoSXxsfONeLVyqgVTubcFQkhmuDCIegbleyzU43WP4F0gb0pqM8lXNpxKoALCP9oaDVFCUBrraOdCVbcX/xpLz32xTb6cNUR+mVHBq0/nMcthJ+vO9ZqliCEE7gKgSgQmTEkTs0twgGNGF3a72DE0ZbtJwpUtwJWSl0hOapRJGzpuR7KLmOnY1SwH8V4aHxVjBsLhnVDkRDj4HNHJjX7OoReOAxbyiU8Ys3Hwf1+fPhsvrx9y3T1RK07gnFiUJvfKBIaSw5wIREy69AM5hOUwsU9gUnn8Di+T0g/9X8gdOANFD/rQ9IFKq8pGsWBb+hAl9/T9s9nF5Udfo9jIRyBx+wXkEHjg7ZTtcFezMUIPoRAFNWIvEk4RnHyX1RpUP9+TXNS622chKv2Z9P7KxvzSz5Zc9Sj+UfIMEWLNljfQn5td2oP7wngffXwhaPYUVZnttDfv9zGCz0d4STt7pRUWktLgpRtQE8Ai2+f3TOHHjx/JBeZ4JhvYZNICld45KLR9OGdZ9jl3XYkfjrl2FSOG0t6Gsj6Fs3hApFLKMtLJBKJK/jHz6Si3c+zg7Boz/Os/djGshlLD3OmeluQImEPAvl1QDhUNN4tH+DioEucHvi7kbsm3IS/7sqgEutYzqk+2Ule8AfFTvr3KfuZGm0Ai4MWk7JT76oiIYoMUGqwYm8Wl26cMSyex8yQxQY+Wn2U3vrtYIsnhnj/VGWtoMrio7T+cK46amwLcgOBcDU5dTO2IfcIQh1ccMiFEuHxjthnzSOEaN0WscYRosFbOOiC/ZX/qe4AMiMjgnzp8mn9nJaC9Le6CY87EQkPZSki0+CEMB7zwsVTr21nUXbkA77GSpupOsfaVnyIFxjE71ZpzesISj5PjRSozl1LpqpMbjUPiJ9JXhqd6mTuf2UqJc5VykvcBcVCQix0RqBW2a5WmX0d5nuOsxYRAIxDoh0cYDHAFv/4M6jPJXsoKHmBKsx9/utSuinmf3TNiDLOsUQu0sp9rbuMXWWNjTPxSE6ZWq7SdNvQndrDewp4rzx+yRga2yeS9/9PfLWdrnl1Jb2z/CAVV576fXlXBQ33Pc1JCJCve+aIRPrnFRPo+4fOUnOm3eVU7hNEJqEcN5b0WJHQ1kloXaiW48YSicQVIkbcD5cYZf1+OVUc/4piJjyr6kFiEtI/bhq1BSkS9kQnoVUkRK6W7UlZ0/ZL4SKEIAP3kauMTongDCm4EdBy11bwnOBkgDumpewqR7SW6+VpvLT+ZDFVqy2hcBZ2NTCK+Jf3N7BLDCf/z1w1kUeC0DyILLbbzlJclz9uS+NMImdAGMld+2c6uudbqq2rp5hQvRpYLhiapJzYi7ZYR0B8QO4YHIijeke4dSIrHG9pLYwcq3mEyZ5zIuF3RUaa8rjdS7zACvTn95ypiviO6N9Kecnh7FK7FsueADJaBbUFW6iu8iQ11BvIL2xY450aLEp7ceQ41WmYs+o6qsr8lYxlR8libi6gtLUUg93PGp1TJyEI8DaQqUFLVXUau+2lyCMc30R0FyPH6w/l2rlvNd6+7CbE9hILAy/8uIeitdk0KnAPLRwVSoumKJmKn649qhY1tAf87LUHFcFR7FOaCpcAI85oD8e2oem2RdKxYPv6xKJxdN7YXuwmgwN18ZZUeuSzLdJVaEUsToUH9SyRsDsix40l3Q1X3NnmeosqBNqPG0uRUHLqwbHbxiN5lN+JpaSStqH1i6Ckud9wKSIXIyadZff1uGlvUsSwv7TpsaVI2IPw0igHtLCZRo1/moP2AU7+bnlnLd3z/gaqMzcG4VfbjBq7szKshKArQgRyp8prHOebtcaWYwXsZHj40y108b9/ozv+t44D77siPG5squLxxJSLtlP4sDupq/Hz9nQ+uUH+3xs3TWvWOogswXvmD1cbUp2N72j1igCRk6cUNswZltDs/THE6iQ8nldu9zi2YopwEWJk193MMXXkuMCxSIj3sXC9eTI3EBlL4iBthAfFx67CgLhQp+PGOLA9bB1X7Y5FEg0NFqpI+5EsZvuDnHpDsWq1r6s4wQKgKO8QRIy4l3qdu0xt/vYNHcTXNXkbKGPpWVS48x8ee54Q7iAUGop3OR2n13sbyGDxY+FfkF5YxYIOxLemAjZEQ9yOvMnjeY2jxZZ6I9XkreemZrgI88trKdZP+Rv7BCZxAzbcUvi+5buVTJP2gPcVHgsn9ldY9xEQLm3B7/T28oNqIQ5yziSnFvx97j53OH1135n0xKKxXNCB91dL4+GnEyJrN7yHOQm7s0gox40l3QEU/S145tdm+72mIHMQxg1EhSAyRyCKS7DADiFRIjkV4HwcpYW3/ncdm3fcAUafL9cf92hsjcR92BBgPYexu9031M5Z6A5SJOxB+EWNpZD+V5NfxEgK7X8Vaa2h+hmFlXwCcDS3nH6zOREU7r0AF/MIbUFoPtpSMQKyeHPb3ITCFYOTW5gccXL76Zpj1BUJTDqbQvpdwf+AUO29fRRHVlcBotkPW9P442tm9HcaRn7WqCR2y0EgXueksMDbFwKEFxmqlR3FGU1GjQEyADHaioOcozmK6IBRzhPfDKeS/W/Y/X3dGTW2HfUFeN864khOOYvfEDia5gi2lzvPGcatsQj572n0i1Uy6iAWNRX3s4qq+H2B/8eUmK45Tt8StfkbKX/jPWoztwjxRfOXb/hwFvcjRz5A/rFTKHbKa6SPmaTeD6PEIoNQ7FS1/nFUk7vWrrTEU+gjRpPFWKqWojTFz6uWauv1dgUzKCICI3tHNGtchQgvRpBRYCLAwkb2ymuo7Ogn9PteJV90SKQy/qsLSORx8iumKW7Cz9cdt1tEcjV/8NnFu9TRYTFqjJIMEVGASALbWArkIWIxIzE8gEVCSeeB99GUgbF0/niljMqVzNrTyUkYFihFws5GthtLugvYdn6y9iiX9a1rZcEl3TpqnGRtNhbguBrCOBZtIRRKJKcCUVgIXQDmnU/XHHXJEVttNNFLS/bSB6uO0LebUk/BM5WcSqRI2IMI6nUORY//J3n72btM0mzcWDgRFNkuIjjeWX5Zq27Caf3445+2pVNlbaPjxVVEu+JfLxzNzjdwKKuUW2vd4fstqdzg25GrGKEDrqHI0Q+TubaQavI3U73R+ZhtZwABADlKWJFE+6AzMFp+zmhF8Fi6U3EKNgUtSGbvUArSVLAQbDsKod7Hy4uGJNqPHHNBRIOZxRW8x/ZZ31+ihdUdkqMCW2w4Fo8Nl6Kn85Egwlwzc4A6dtyTgGsL4owjNyGKYMCA+FDy1nS/XQMKjRibAxvxf+rtF8HiPt9PH01BvReojlln+FjdhKCtob/OCEicwwUoIuewKTn6c2htxQyqstmutia6Txmo5BLargJ7W7NTzcYK1dmQGFBOXtoALm4B54zpxdsNuBThDHeV2joz/fPbHbT6QA498ukWfnzRlIyio+gQPQ2MD+Xc2w2Hled0ILOEi5TA3ecNbyZ2SjqHCyb2ZkdLakElbT6qiNGnM0LUDg/sOcUl3V0klE5CSVdnf0YJx+y0dOwqyLSKhMmR9guyOJ6ND1MW+WUuoeRUYBtlg/Mf8MnaY/TaL/taXTT87/JDnDuNCbaF4z17nCzpfLrfmaCkVQq3P0Unvh1N9UblpD/Nxo2FFfKfd6SzQCBy6XCS2BYmDYzhltuaOjP9uNW9FYSyaqMa2otxUTic4E7DCpxwpbgChE6MruHEc5s11L8jwehe9h9XcItQVwFuPpENedGkPjwy2xLzRiayAHYwq9ROQLalzBREQd6VNNuBi7B5eYny96ot3K58b9ov9P4373JmJYQCRyKjy+PGRVUOd1I4GOuOuYFdgcZcQvsmXAj0YFAHjhpzNqo1M9XToGAEmGsbV/AbGszkHzeLfMMGs2BYduRDqkj93iW3lBg5Bj7W6AZP4R87jaLGPEq6AMf/X2WhF9Lq8jPUcWOs7or3vG1piS0T+kVzWRGEHpErgxEDZNMWlxZxvmhsqJ58zXnsIhTiOoS6q2Yoo8FfbTjO4h+A0/S573fR8j2Ox5Df++Mw5wpi4QGu3n9+u5MPFnFSj+cCpluzEtGo/MX64zzOIrZB4mBU0vkE631o4Til6Va6CW3GjaWTsNORmYSS7oLtwjvEwpaMC2JKBk7CpshcQsmphKNsKgzko9XQPy8fT/ctGMHHkr/uymxx4XjrsQJatjuTcCR5/4IRpHczVkrS9ZEiYQ+iMuNXbreBWGOpK1Nn0EX5g8gZ+2rDCXpm8U4W5KYOjKHz2igS4uQQTarg+62pLPy5yl5rMy1ERjTI4oR1dB9lPHpnqmu5hBiNw0qHYNMR93IU3KH8+OeU+duFVFd+zKV2Yw6BPZzHrh53R/jcZdORPF5xDPTT0Tmjk1q9f0SQHzfhioZqR1kpJ6tjqKI+hGYNjXP6OHDxAYiNsKWzkxClD3mryL9iDe9wbj9raJucfmh4g5AJcaSwwr40Ajktwr04woN5hKcLcIc6ajhW8wg7sEiieM/zdPLbUZS/9W9Ub3B9MaA1MOqevepa/thc07gdgAiXcMYHFNL3Mh69LdzxFOVvuo+Kdv5fq4/pG95YbOLpcWNBdc5qKt73GhXt+TdVZ69SbxfubjR8CwcettdYrRUnEE3BdnSItVBo87FGN5jGJ5gqq5TXes7wRAobehuFDb7J7nvnjkjkxy6rrqOftqWxE/iJr7bRyv059Nayg82aRZFBg1xT8M8rxtttd7BtESf20wYr2w/8v3646ggLj4gHuOnMwe163SSe56JJKfx3QyyJcBXYgv07xGdcKtqYQ9wdgOBdYXXwSpGw85EioaQ7gG2iGDGGwILtSE6J8xIIYZIQUzO2SJFQcirZdqJAzWHH9haxVDfMVhbJ3/rtAC9Q45wW5ww4PkTuJiYBX/llL9/ngokpHi2QlHQdpOzbg6ivzef2TozW2bYbi/KH62cPpNd+2c+CEk7WMGJ2z4IR7RrXnD44jj6LPMY7PBSQPH/NJD5ZbY091oISWzcJijaW7cqkXSddEwm/3niSMouruSETO2RkKtxtaeiQMVFzbREZineTNiCRP9f4OBcJMRbz6s97+QRbZD5OGRRLE/tFc+EHRDqcdONkLK2ggjOhcJsjcEIGZyUcfRBlm4INN14HsHBcsssrOeeO6cXZZb/vzaI/zR6kHoiD5Xuy6IuC62hsn0g6p4Vxqz4xQewagpCRnldA5tKDtL9mJMXosmlQwAl6+fwp1M8qSLkL/qYQE7DChbENOBIFeN3wGqPBOTm6+2XndTYDrH8TvI4CiLHCVdpRTsIGSz3VlR3lpvCK419QVcZSihz1V8769EQeocHqZDXXOM4CEv+7wCd0QKuPGdTrXKqIm0nG0v0d0mZecuAtKtn/KjXUK4sr5T6h1OfindRgrqaBmdfS2WEjqbD2GruFHiHwOmNS/2g+oMPixPnjFWdYg3eg6t6cMyKBQsKb/+5wHyPL9Pkf9/D2BDmCohgITvGtxwt4W2+bQQPmj+3F48/YVkQG+dGvuzPpwonKzwUQHuEUxzYMC0KXTu7DcQituZ0lp57QAF9uPF68OZX+89sBej0xjBeehGv0m40neHRcgMzJG2YPpKjgtrV8d3UXoVbj1aYoFolnkSKhpDvw+75sPg/BVBTOqTCthWNXR05BTP9kFSsioaNJGyySiwX7zgLHEDju7hOj5FhLei5iUdA2GgrHangPI0LmH9/s4GMBR+PvELSvP2PgKX2+klOHPFLvQQjnoKWukrw0cOdp+IQOJQUAG/trZipjZRCcHrloNI8ZtQcIcn+/dCyvuGPM7ZHPttg1crbmJBxps/owyioY4nHEgbozsINFmxK4d/5w3oBB+ISrrSPQaP3tRhmdOQnzymrovg82skCI1xivC8ogVuzJoqe/20lXvvIHXfXKH3TR87/RAx9tojd+PUB3v7fB4dgvRvfu/XAj/fvHPbRkm1JK0hScfB/JKWNR7fwJjSfnrTGmTySPd0Pgsx2RQDkCnKZg7shGUcURyK0TgtL23RvQEkHHalOoyHsYhXsXUHJw+w5wxMixEEgEu1MbBWZHwmlT6sqPU/Hel+0cZqczfWNDeDwADk3h/sXocYNaSNMxOVwo/Ymb+S6lXLCBYqe+ThpvPRVs/Zudg66toIUYoDUY/6NinLgqaznlb/4rmaqz+cBdKeUh8g1pXSQECWd8SL0XKuUlniZ0wLWUOOcL6nXOLxSUchG7v83VWSzo6eqyKEBTTZXWbWlWkfK/1NrovnAI700r5m0/KKuPour6ABqcGKpmHTli1rAEfnxsv+FExDYF4h9YZV3wANg+iAwa4QjEa3v1zAH02V/m0KAEeyfqE4vG0Vt/ns6XOSMSpUDYhbliaj/eBsABg1FznMwu3pJKX1sFQpQa4QL+2JdNN765mj5de6xHtXDalpZ4Ou9W4j6y3VjS1cHxxq/W42jEN4niPduop6aL/4jjwT7WUclgvHVaoLMyCSFOorzi719uk0VWPRzEyxzIKG2Wd419H0aIsbiLc2u8FzEdNrZvFEdN4TgBC8MPXTBKzY2V9DykSNiD8NIoTXwNlrpGF6F1J4XGLAiCcHHcNGcQPXrxaBpqHU1rL1gp+9fVEynE34cbih/9fCuvqDkDAiCchzj8HmaTKQcnQ1/rqtVuq9PQGf9dcYh/BjZqcNmhTRNsPNJyo1hb0egC7FxKjkRCbEjv/WAjnciv4NfiuWsm0mf3zKEXrpvMrh78bjA5oiAAo4MQECOthQH3f7SJRwoFOFF/7IutVFypnLDA3eNobBnuDjBvVCK/fi7/Pl5etGCckrOGTMf3/zjMq0b/991OHh2+aKiRhps/o7qKlpur4YwE7273pYfTnqVc37k0eeJ8vq22YDO1BzWXsMmBlii8GdlbETCcYSw9SLnrbqP0X+ZRyf7XqOTAm+16Pj0Ff1+t2ggtyktEaUlHuAgbGixUmf4zX7NQ5xNCQcnzKfGsxTzG22AxtfPxG6gmfyP5hAxQRMjzFcEQGIp2UcXJr7nlGCTO/ZYixzxGvhEj3V4g6Ihtil/kaBY2/WMmK8+3ZB9ZTIooXmuBiG+yG01y5EqwBV/Hyi62LztOFFFxpYFeSLuJXsm5l0eNK9N+oJOLx3P5kqMFn2tnNYqnDywcSTfOGaxmz+C5oG0Z4ybgz3MHu+RchhsLC1RScOn6YArg8UvH8snA1uOF9OTX2+m/yw/y126cM4h+euQcvrx+41Q+UTCaLfTJmqPsNPBEsQRORHD8gHH2zkIsUMpm4y7WbtzBsS0SSVuB6QH7aAjaZwyLb7V4z3Z/7mjyKcl6fIZ2Y1dMF55GiJNYSG4a9yPpWeB8CufSjqJs/Hy09I/Lx9NFE1PorxeMoq/um0vPXDmBXrp+Cn1892w+v+3IDHNJ5yNFwh4E3IPqx1pFJBQONbGyBXHo0il91awoTwFB57mrJ/IJIbLNftjivMhEtCqnxAQ3czKKXMKWThLgfoLjDdw6bwiffE4dFKvmErpSSuAuGm2gKsBqdMFqa6gt//v9ELsQIMCgrRn5Dni9MW53+9lD6T9/nk7fPjiPXrxuMn101xn0+T1z6K2bp3NWJA4E0BD60pI9tGxXBp90QRyDkIgLhES4EW1Jza/gEzkcY1w8qU+bMqgunpTCH3+18QQ7GlFuMColghaN0lDpwbfIWHa4xcewFZr9AqLo0ctnU2jCFP68Nn8LtQdHB1oQSkUeoXCeOsuoy1x+EVVlLqOA+DN41BSCkYTUBmNwNEcRCYVAPagD8ggr036kvA13UdmRD+xu1/nHUfL8lRSYNK9dj19XcZzqawvIP3YqPyba3YUgVW9QtjUigsEnOIXCBt3Y5QQr/7iZFH/GR1xoYisSojUe2zP1pCKi9bHnSQOUBZN1h3Lpn9/s4G0SVoPhDDZVZVK9ocipE3raoFi6Ze5gevTiMTRrWDxHCsBdiINIxBP8uDWNtxF4vMlW16KkZ4GR9r+cN1wVh7E3xYISxo9stx/Yjz10/kgWFLccK6C/fbaF36/tAYIkRp9e+Xlvp7kTS63u6nA3Ft0kp6DduE6KhJKu6cR61ZqNjgiGAF+dzQJ3yyKhs8kALPhDtGmwKZQ7leB8Q3DEuoAs6ZmIc2kYbhwdF2Pk/JZ5Q9iMA4OB5PRCioQ9cNw4bMjtFD/9bbud1KnIboPod8vcIfzxZ+uOsYulJZFwhINmWuQSgp0ni5yKfesP55GlQclWE84ajMXhZAVtmxhX9jReOsVNFDHiAep76R5asjOHXXd5pTWq8xEinpfVgWOboWcLDiBQ+BEb6s8bZDg34MJEFgRcGb/tzqKXf97Hqzt6H296+orxdNnUvqqQZ3vi9O1mxeU3dVCc0zKD1saF/zx3CD184SgeIYODEGLy3y8ZS74BigBQX9sYYG8oOUCVaUvsHmNIYhgF+XnT7PCN9PTCaHZGQqiJGHEfBaVcQO1BCNsQS/HcAMbJIVjAGSvccI5ASYU+ZirFTHmF4me9R4lzv6aks3+0uw/avyFcNViUcoieRku/l8i2g5MQIcSiGdx2/N9TlB/9hJ3NwX0ucTiCDOoqTrTqWnVGrXXUWB8zhUd14ZITo+VmQzEvnrRWNNTZaPVRFBA3g7x9gjkuQoiE1QYTixZYRMC2paX3fNORY2TJwCE6IvgkPZj8JmX/OI5KDyr7BV2g44IjbJPQkD5jSJz6OZwRAONUP1hb7K+c3r/LCa0Sz3HmiER2DwCIwbc5KKDC5xgff/aqiRTop+XFm9v+u5b+8fV2DjuHSO0OJ/LK1cKdvLJauxH3U0mJ9bglvINiFyTtyyQ8nF1KOxwU60gkncGbvx5g5x2OfW+wZrOJBe7s4mqHix0Z1umYluJD4NQGyAd2B5w3oakW4mVbKbZxDyLOSNIzwXtlm3VbajtqLJEIpCzcg/ANG0xRY58g/7jp5BPc185JCOfHqQDB+D/vSGc34fsrD9OD549ynkfowAk2LCmMczpgcUcukgjwtWXNAeXkYYZN8y5s0WP6RHHY7sYj+R4P2/UNHUzRE54hfdQYzhN567eDLFzB8QhR8H8rDvH95o9LdrsdFs/9qcvG086ThZwxiJVDZH795bwRnB+XGBFIX64/waMHyIFC8xS+Lk6iLp3ivovQljOGJbAgB/EVhSYBfjqqMyo7DLOh8WA8c5kyRhyYdJYqSGNl6c0rE6lizecUWOpPlKI4UMKH3UXtJT7cn98LODnA746V1T2pisA8qndkiyKFb+gASpj1nvo5hMumwGloqkwlXWAyBSTMVm8vO/YZFe34B86CobyTT1AfSjr7J4+LItW566ho17MUP/Nd0gXEe/axc9ZQ3oa7KW7GO+QfM6nZ1/tH+9BA/WGqL9hPL59UWnwXTelLfWM9+39jLD1EhuJdFNznUh4zdoS5tpAyfp1PfhEjKfHML93+GYHJ80njE0r6mIlkKNhGOWtupOiJz1FI30XsmoOLsDsIWpZ6I9WVHVadhAaLHy+GHMlW3J6xYf52BUMtnVwgo1UIi1dNTyGfwlVEwX34/ewXPozFSHe2Dx+tPqqOpOPEZtpgxbkt6blgnBz7A+yDW8p+xaLXC9dOpke/2Go3nvbD1jQeSxau5db4fJ2SMSzeu8gchnuhI4rIWqLE6iQMk07CLicSllQZ6MGPN5O5voE+uXs2CzMSSWexcl82rdibxdM8D18wSi1thEkAi/xw3UNAFM5CgTBv9HLQbGw7pfP73mw64KaTEOaBd39XJoCweAMjxcMXjmZjQpuchFIk7LH8sjODz61wnuXofFwikU7CHgTyvUIHXs/toXBJ2ZY+CFdWR4OTCYzWAuzgmhaJQLRU8wh7hTsUzBCwD3acbL5ajIPEfVaRcUaTkekpAxUHzfpDueqqs6eAiIMW1trCHbR+7ccsEOJ3xXgVAn6zSqp5LFisJLoLToTG94vmpuF/X4tx5NlcLiIOki+erLg6Plt7jD5efZTHsRAqjw37QBdPwlpzgV4zc4BaWuGtV0TCehuRUGA2KG4PgV+tMmqhjxrXzMlWX9fYoNsWp6NwvAkH0241j9D9HRqavwu2/V1p2a1MZ4EQWEzVze6HsXI40/A76aMnqCJTyf43KH/zQ1SV9TuLOu2h9MCbVFd2iAohSHqQemMp5W9+gCMHkHfniIADN9Bd8W/QtRFv0+XhH9D4PiFqQxlGUuHs8wTlxz/n6+AWGozZRRc/i193OEDdResXScEpF3AEgNY/1i47tN5YTN6+3ePgp2jXM5T52wX8O8ROe5OyzX3tRsFbyyO0/b+ZZV1AuWH2IBo1Zj4lnbWYkuZ9R0lzv6aosX9363lBnEckguCKaf1cKgySdG+wzcN7zpW/NfYf/7t1Jj25aBzdcfZQ1QXzzSbX3ME4LsAiFYB7HrEl2KeuPXjq3YQl1hzg8CA5btyVRELkrKI0CYUPOP46ma80tksknQFKCl9bqhz7XjW9Pw23mcLAttNZpjYcfsgtB/1jHS+ciikdAMOFO9ELq/Y1bjNRTHgoq4x+3p5O7mA7BXY8t4LPNSQ9B8Q24Rzy9aX7+fNzxiS5lC8tOf2QImEPJOPX8yh33a2c3VdWXceCXGutmJ4EotU8azPuSz/tUUeH4fJDWy9ZBUJnzcoT+imZWku2pzfbOa0/lMc5HQhLbdoKhjE7iG0YN77mtZXculhRoxQWeIqivS9TaLHidnpi0Vg6a1RjA/DtZw1lF15HMH9sMgXrddxUjVHuHSeVzEbbnChPgtxFjGmaaxuzISNHPczX5hp7kbC2aCdf+0WOUW+DOHjyuzHslGsPokjhp23p7LAUq5ot5RHW5G+i9KXnNitnqM5dS+XHPiFD0XbSBSRScN/LrM/VXsi2GEvJSxtACbPep4QzPqKosY+rXzMU76GKk99Q7tqbKW/jPS7/Hg5H572UzW9NzioyGzwT1I+fg8ZgOOgiRz7o1DEWNuBqWm1YRHuqRtC4oB10c/R/iOqVg9mK1MWU+dtF7S4UsZhrOI/QJ3QQ+UU0dxTb4hMiBMrGpm1XQBkN3IoCb32MXQt5SP+rKbjvpdQd8AtXXLh4LwT1OpcsPopQLxZa3NmGI0Pm3dtmqlEF7eWM4Qmqu3emjYNbIhFg3zd5YAwtHN+b7jxnmLpgh6bM1vhiveIiRLYwnPgXTkhRbxdRE6cKmUnYtbBtzvxlR+P+Ib3I87Eykq4HzgFe+HEP/fWTzfThqiOck+ppE0BbwII9nIJYELliev9mXxcjx2KaS4DxYfxOaIfFdIAz4DKEExC/q6uCOEqXhAD5wR2z1GxZRI+4k9VeZF0oATV1Zsoqdn/xVtI1gUv/oU8206+7Mlkb+NPsgXzuKpE4QoqEPQi0uZ78bpwicnj7qS5C7Ijg0DuVwBEHUSuzuJoe+WwL3fSfNfTkV9upxmjmnerfLh7t9Hsx4oSRIzgOV+/PtvvamoNKztFMa2aWLWgUfuTC0bzzRdMwWhf/9J/VtNo6ntwecOJ+4psRZKnNo5p6P+oXG8yNyvfOH0GPXzKGR447cgQPqzx/XzSOFo5P5hB5XODY7KgcCayEBvW5mPTR49XbvIVLyyrACFAIAhcrHGHqfX1CSKMLZFGtPfTX7aK7+y8hS4OFmzZxcAVnU1OB2JbqnFXs0GuaQxfU6zy+rsxYyll4oQOu5c+F61YQMuAaihytCKJNiZ/5P0pesJq0+ljVidgScCzmrr+Ljn/Zj8eL7b5WrpwYx057g7x9PdM0DgETZS2Bvc5lwazsyEf2P7MilXP78Lsnjb6D1nrfT14Ji6iucBPV5m3i+zTUG8liquDtSXuAyAiRLmzwn1sd9xUZee6IhKUH36HiPS9Q0Z5/q7fhdWRx25pJGD7kVvXv3NXxDVeEFUPhTna7YhtoWy7jjkjoo/V22XnoCueN6cXttk9cOo6dihJJSyDuAzm7WOP7zpqd6wwUlQjH4JXT+vH1+RN6c5QFXDjrrPt8Z44ITBd4EhT9AOkk7BpgFE7sPZBHLGjq0JL0TPZnlPBIL6ZIsGjw+Jfb6M5313vcAOCuixDRP+DmMwc7jERwVl6yR81kb3nCAQ5u4Sbc72IuISKLAM5P4sMDuEgFIjvMBe6MDQsnIc7hbI9BJN2baqOJHv18K7tLIUD/kzPv+3WLOB5J5yCP9nsUXjxexx95+1F6k2bjU0lYoC+9efN0On98bx4XweiQaEl87ppJFB7o16IjYZE1Z++TtcdUqz3CeA9kKKN3ztqZpw+Jow/unMViIXIYMQ787OJd9Mx3O9t1UKHx1tu1jl46uS9vWHHBc0FzaEdvaNGSfMfZw9ilgQte2478mTETnmGRBWDM2li8h1tYtdamWNDQYCFzVSbprBmYtvhGjKS68qPsKGsruWv/TAMsv1G8XzG7YltzEYKanDXk7RfVbNTWJ3Qw6QJ7U/nRj1kA0wX1ocR5i3mM3JbAxHkU2v9qp4/vE5RM3vroFkdjIcQVbH+C0n8+k6oyfoZiRhrvxvE1rOoi4zJ+5nsUmDiXvKyuwvZgri2gwh1PkdY/jh+7/NhnVLjzn9RQ3/i+z113C2UuW8gfnz26F7124wzqO+Nf7BI1VSkjKXprhmFt4fZ2PR8IxZGjHqLglAtbva8uKNktkbDi5LdUtPtf7ECMnfKyejv+HyCO1jcRsrsDPsH9eLtdduQ9FpWj9LV2J8aeFP3cReut4czK3qco21bS/cE+Eizfk8VTDU0x1JnpjV/380kLxMSpA2OonzVeAgK5KE55c9kBhyVoKPfC4uNVr/xB7/1xmAXD9oLtMtw4QGYSdg2wTffzaXQTQviwLX+Q9Gw2HlH25TAX4DgbZgAYCLBo7In/+bbw9cYTvGCNokVnGeS9nYiEanFj79YXhockKfc5aI0cKayopYc/3cLFUDBCNEVMGI3toyzY49xLFJkJg0Vr4DUVjz3R+r0yl7D7gzH3x7/YxuPriPN4/prJHHElkbSEFAl7EHDQCDRaOAmVg6jOOrFDeC/cbp/ePZtumTuYHrtkDItbWBluDQhgoQE+3FaMkwwcvC/bnclCIw4WnLUHq5lcw+LpjZumcVYIVuSwg7zzvfVtts17aW1+njaQpg85vYL7K9N+4CbgmInPkT56onp7Q72B/GOnkT5qbLPvQREFxDFjiZJ70R4uGaoIJqK0xBmm6hwWJv3jZzps4/SPn8Ef5264m/9H9JGj7RyQrgKXpDOREAJkxtJzWIxESUTCnC+o/5WpnG1o+1wCE89UC1NqC3eyA7A9YMQYQhMy5yDQ+aCooqFeFd7g7IOT0CdEcevYPpewIbdQ2OCb+XO/yNE8Ct0ekbCu/IRbI9Qoj9H6o7zFfttgLDvSrPWYBditj5I2IIESzviwWSGKT3AKeWl8yVCyj9J/mdeskbur4qXRckGSwMfXflQ8KaLzREKJxF1GJIfTgPgQzpBDNiFEQYB9MEb1/vzOWo4UIevi4UMX2EcSYFS+b0wwn7A+/8NuNXrEYKrnk2SMTMEhg5tx0n73exu4IdkWFHz945sd9L/fGyMJWgIZXkKUx0KnpGvlEmLhF4sVIKOo0q0RSsmpB38fCPxt/Tvh+zYdUaYCLpnchyd2nr9mEgX4Km3qz/+w55THEcCssHx3Fn981XT7YylHTsLskhpVzIRQI1x5rTkJgch2xe+K1+K1pfu5LBGlUH96cxUt3nxSNVHg64h2AmP6Nh4ji3gQjBy78lqJTFacp4lJpSPW0rLTHeRD3/rOWrr3g41sPsH4e2c6Wl2l3mLhST68j+AgfPaqiR4vKZT0TGRSZQ9CNM4qH/upWRid4SS0BY1fF01yLzsP49GXT+1Hby8/yGPDCN4VWRuORo2duV+QaTdxQDRv0CE43vfhJvq/KydwIQZ2rmgeSwgP4Pu2hMHUOObSKyb2tBi5Kz/+JWfKxU1/i8Ua5BTCQWeLRutP8TYtws1EQmuOn61A5g5+UePIULidxkTlU0L4ICqvMdJoa6GLI2pyV/N1QNxMh1+HEGaqOMkt4ABjqSgpEeOucN2dXDyOglIuouhxTzr9OTGTnmfnriPg5INgHz3+/7iww5Hbs95USRpvP/LS6LjgJW/DXdRgMbIA6+3rXju2AM7JpLN+UD9nkZBHjE+yMGiqTCdqMJNPSPP8HFtQAAKxCq87Djzddaui0CV3/R2c9dh7wSp+j7QGhNqUCzY0uz1j6dl8DZFVUFd2hP9mof2vUYtKbEGOJKjKWkF15cf4vt0F34jh3AYNAvRodi9VXU1Y/ZVIugvYbkDQefrbnfTtppN8wQgxIkcEkUF+dN+CETTWQWwGRuYfuWg0jxZi1PCjVUdYLPpxW5rqdEE0ycjkCPrPbwc4i/jOdzfQ/HG96JoZAzhuBT9b3HdS/2i7cgFHiNFlOBnx8yVdg1B/X54kuHJ6f0qMCODxTuTBoUm7pQVjSee3/z7/4x6669xhnKvtLsjiw0KAr1ZDY6zuOJge/r5oLD362VZadyiXPlsbyKV7HQXcey/+tJc0Gi+aMTiWDmWX8UICJnta2p5EBPmymFltNFN2cTWXOx2wzSN0oW0YzfBajRdHIKC1GHmM+BxTBdjevbPiEB3Pq+AFlpP5lZynim2kGFMGEPqw3YW4iVxvtCa3+PtaXdtoDh9kLUXE3wFC5+m8TYQbHvsTEUchsqKxfxHZjx0NjsfRRhwTqnfruPyTNcd4H4rG7f+7cqJaCCmRtEbPVzpOUyfhsXwjHbVmUHTXEbHzxvbikwhslCEQYueHEaT545LdLlJ55YYpnNOBDfqDH2/iy0XP/0Z/fnstPfDxJqqobVlI+NIarA76928s6OjJoCG2tmAzZxDCnecTOoAKtjxMhdufciNjzYuM5Ufb/BwSz/yaIkY+QKEpC+n1m6bS+3ecweMmzqjOWcsuOP+46Q6/jsKShNmfqG46tMnmbbjbrnCFx8obWm6T0wUkcOO1IyDyJc9fTiH9r1R35OUnvqa0n2aqrr6Sfa/S8a+GkKk6ix1kESPupXpDMeWsuZksZvcztkRDsxiB5+cYZBUJKxUnnrH8GF/DbdgaflFjuSXZXOPaiIotJftfp7ryIxTS70qXBEJnmA3KWA6wHZnG38jbL5J8QltuEsfrCXDf7kLUmMdZGEcjc6CNKJgUCcFQIuleTBkYS9MGxZK/NRMZAiGc/ThxhSvof7fNdCgQCnAyLEpQvtp4gj5ec5T34TjJRgsyTs4wNfDfW2fwz4FTBiVX17+xiv76yRa+r5hc+NxmH+4MMWocLl2EXYr7Fo6gB88fSdMHx/KCLhZ2HY1ySroWECaEWNgWNhxWXITYRtgW2GCa5M5zle3Cb7szqaPAWDNcY3Dv7ThRSC//vI+W7VJ+HgTrlrBtOBbFI3utr8eIViJzBPidRQTDe78f5mtkyCHKCds+RCEiG3Hb8QI1j3BkcridmIePJ1vHhuEmbI3iCuX4MyLIj8Uo5BKiWRwi5OkKxLkXl+zlc1FkQz968Ri6wpqf+8ferFPmJoRQfN0bq9iZ7yq7U4vU89d75o/g0k+JxFWkSNgDnYR7DRPpub3TecOO1XO0ZHVHsHPDjhAjS9fNGqCMLc8b0iYXX2iALz1/7STOs8MK9N70EjKaFSEIIa73f7iJVwwdgXbG7zanUn5dNJn1fSligH2GXU/F2zqGayw5QJa6cvIJGUCGop1UnddYwFGZ8Svlb36ITNXZDh1pvc9fTzET4bprGzjQCh96B48FB/jqWhQIQczkf1PC7E+bjaA6Q+MbQvV1jaMUEMb4ufuGtpr/h8IWuObU22ryWUCtydvADkH730PDAqGh5IA6jovbtHrFFRvc5xIKHXwzGYp2cGsyiivcOYDJXHEx5ay9xW6sRzgJTRWKCw+uOr69ybixI8KH3UV9L9njVAjln1tfx43Rtj/TULyXSg++za7G8KG3kztUZf9BhTv+wc5Kfr5lR/ga4+y2YEy7z0XbOB/TESiEKTnwFr9XgbdNhmZXB4IxRGqU7gTZNKWfynZ6icRTwPH1+KVj6fu/nkWLH5xH79wyg76670x28yNfDA6X1jhzRALfF2Ch7+ELR9H7d8yyy1PC/h0/57mrJ/JIKtw7EAxnD4unN2+exsIkRvEOZ5e6VloiRcIuBRZ6zxzRmPvcWAohcwm7MnABAuSgYdS2rXmEWGxoyswh8TzLATepp8uLxHO+/8ON/Phwr147cwBvWwDOI0anuD4u/Nm64xyTIPII4X52lSHWx8BRVmJ4AF0+rS9vV+GivsDaAo9s101HGwXVpswY4vrIcZFwEgb58f8b3IxAmE48ARaLHGUqdlW+35rGLk4sOP3totH8euKcFPsjnEcu3el64V5bgZMTbnzwxbrjLgmTcD8+98Nufu+cPTqJZg11fjwvaR9r166lBQsWUHx8PP/f/PBD41QXwHnSk08+yV/X6/U0a9YsOnBAOR8UGI1GuuuuuygyMpICAgJo4cKFlJWlRBt0FlIk7EHgxPKjsvvph4J5FBIUwuUdT142jg+QuysT+kfT6zdO41U7jC23B4hMaHOC0HjP/OH0v1tn0Nt/ns5jAWLFUKz42fLfFYd4vGCL7l5KOeNNOl3Q+ikHGzX5G/naN2SAUgphbY4FGElFo65yCNMciExtLVcxVWWxAAnRDWKcxexYxG0qTPrHTHb5Z3j7hNm1G1vqlJNIjU/LI79lRz+izOUXkdlGHDXV5FDZ0Q/JWGq/4QeiREV8ra7iGOmC+3DLsgDlIYHJC6g66zcq2vV/Lv8OtfmbWFCDu9H2tYbQ6R8/m3TByoEklxp5acjHQclMU7R+kaTROXevFe78Px7Lzll1HRfa8O9WdpQyfzuff0bMpBeaCaWt/h55Gzn3UrgXjWXKynnY0NvtohQEzt5X+L7iPc9Tdc7qbicSAvwtTdUZdk5CKRJKujsoJMNUg7v7cfyf379gBH101xmcM3zGsASn8SCjUiLZZfPXC0axmIgxPAhKc0YkqCfrLZFZpIhOMo+wa5NsXfhGLqGk65JfppTWYcQWLcXugHggjNTi/GVi/+YFC1hgEGVenm7fRX7qY19spYpaE5sUXrp+Cl01oz+9fcsM+uwvc/g8wpXj2sun9WOxDbFGby07QEesz3N4cuulJYKhNqPDd503zM4liDilqGA/yiur5VFmIMaybRnTJ5JHn7EIIoRKZ4iSKJwXCYFeiKaeApNcN/1ndbcQCuHSfM+aaXvLvME8Ng7w9xci7U/b09RsSHeFPxTRIA6rNaF71f4ctbyxps5s5yZMza/gGI6mRT5wvgr3421nDXX7+Ulcp7q6mkaOHElvvPGGw68///zz9NJLL/HXt23bRrGxsTR37lyqrGzch91zzz30/fff05dffknr16+nqqoqmj9/PtXXd05BE5AiYQ+irKaeDpRGU5SuiN68ph+P4chqc3uwg8XI8jmje1GvqCDe4L98/RReKcSKIcLPRXMZDhSWbE/jFTqs3F08IZ7Kj7yviheni5MQLkK4tnwjRpDWP4Ys5iq1tAPCGEQhrV4ZZ2gKBLiK1B8409AZ5ce/oNQfplDW75fzKKnAVJXGAiSyEU9+M4Iq075v8fmi0AL5h7aP0erv6BvKvx9amsXzFbe3JsgD2/ISS50iMCO7sSnIAUQcAEpN0PYMcbHp2C+chTGT/k2Bvc7lTbOrbsKyI+/zWHfIgOuafS1h1ntqQ3X0uKeo76UHuHTFFeAKLDv2mcPR5rLD7/JrEDHyIdJa3Ya1hdv4OmLEfeQb1ljA4Sq6wF58LUay4YQM6n0+i5rm2kJ1Na5o93PsOnSGyCmsNyjf4+3r+gF5VwACa9z0d+ychEmR3TMyQiLxBDiOQYaXK8cz2FfPHp7AYqK4/xVT+/FoHtwgaOpEoQmuK2tN6vdhX/+FdSxLnBhLuiZi0UQ6Cbt2WQKOqW3byN1hk9VFCEHN2cLCQOvopKfbd/dnlvK2AQIfilJsJ1iQ1edqNh+yTWFIAChehIsPI7yu5BEK4JjGuDCca01L+/Q+WrrjbGXsGkAwTIpovriL5zvT6iL7eXuGy05CWycjRsaxfWythGbdwVy643/r1AUXR+425ChCgMUYd1cFvyd+XzQCYypv6qDYZrmaKIVBXnRxpZHzMd0F/xN4DVYfyKFb3l7Lr52z5/L9FmUiCI3a4MetqSwsokzlng820n+WHaBP1yrTQgDj8ZuP5nOGJbJ9bcf1JZ7nnHPOoaeffpouuugih3+/V155hR599FH++rBhw+ijjz6impoa+vzzz/k+5eXl9N5779GLL75IZ555Jo0ePZo+/fRT2rdvH/3++++d9ieTImEPAi64AfqjdFvcW9RQqLhoJK0TE+rPK4UYzYZj8L0/DtOf315Di176nd749YDathxct48qTnytZp2dLk5CXVAKt8gqTcAx6rgtX1fn8G3OXGMQfPI33UtVGb86/Tle3npuo60t2MIjvAIhDOljJnL5BEQrUFeZRrnr72om1kIgRMZgZfrPLv+OGh8cZDaoAp8YPW6tPEQIbXYiIbIM+TGbCzp4fTCujabnuooTfJujAhGNty/FTXuTosY+ZucydEZV5nKqzv6DAhLmkE9Q61mdaHR2FYiPhdses8sGBMioBEG9L6DwobeR1lpmE9r/Kuq76IAqSrZdJFQaTwPiZ1HM5Jco/eczKX/TfWqDM8aZq7NXOn0crV4RCVECEzvlNX5NuxPBfS7mkWrbohLpJJRI2k5CRIB6koyFwGteW8nXl7+0gv7+5TZ69Zd9vK/H6e/8sb1o4fje8uXuwohx44zCKtlwTMSjh/d9uJG+2agcW3QFIJyIRnLbfEJX2WhtNZ4y0PECNBgYr8TKCIeep0COm3DgQYhrDxD5zhmtFOO52mpsC7LYMRHmLANx8sAYFrDEz3K2kIIGeTHCLdyCLTsJlWPFsX0iOR8ef0m0+f7z25125VO2QAR99w+lTAXONkfYCvutuRo7C7gCUVKC3xe/N0a74Uxv+tpCfBWv6+ItqW5vi4RwjoUtiKZPf7eT/vnNDsorrbG/X3oxu2rxXvjbxaM5VxBjznAKPvb5Nh5l5+ewOZVdq/i/e/cP5fwI+7I+VvejxH0qKyupoqJCvWAk2F1SU1MpLy+P5s2bp97m6+tLM2fOpI0blUm9HTt2kMlksrsPRpMhKIr7dAZSJOxhIuFNsUrTrJdWNr65A1YKsSNG0yJC1rOKq8loqqe4MH+6anp/umH2QCre84Ly2nrrTxsnYeTov1Fg0lnqbUIQUkXCmmzS+jvPufANHcQOOgh4TSne+xLlb32U3WJR4//Bt6HIQ1Bv/Rm+YUO5MVg8RvmxT6kq42cWa213yhCQ+Dm6UVShiIFeqvswIOFMSpjzBflFjGrx+zRaRyKhcBI6dn35hg9ld1ttwVb+3Cek5bFf4W50BopI8jbdx0450dbclJr8TZSz+kYevS09/IEqULqCX9R4vkZOoi3iby/eC7a0p6hEFyREwkw7dyVEaiEIoxBFjL47Qzwvb78oCuq9gLorQiTE9kiM/kgkkraBk2y0pIqTMjhA4BDZcqxAzZS6ZkZ/LkrB1yVdW/TFGCrG7oTz6XRmzcFcHjf9ZM1RpwLOqSbPOmoMNx04nltu59xt7XvFeLIo3XDEQJu8PHcFGlfEG2QPeoKb5w5WW7jHWJ1gngQlUHeeM5SuP8N5mRuEImQkQkBqKUNPdRIGKyIhhLG7zx3O+fDI5NtwOI8zEB0B0Q+jzwAuNkd/E9uyIVHk0tVAGcz6w3nswsPvjYsz9ygEVLwuGHkXjceugmx8cPe5w+jKaXC7e/HPvemtNfT+H4e5kRp8v1lxEc4bmUjBeh+6bpbyd4YzHtvAEcnh7DCEyeW/yw+y6xN6AEbMRcGKpG0MGTKEQkJC1Muzzz7r9mNAIAQxMfbbMnwuvoZrHx8fCgsLc3qfzqB9SySSLgU2CkLa0Hi77hiSkLozPGtUEm9st58o5FBaVMU3XT2CcHE6AAdW6KAbKWf1DRQQfwaFDrye9DGTKHLM30kXmMgtvBDq9DFTnT4GsuSQx2co2cMHDLavJdyFKKnAbcjTA+aqRpHQbB0XhaPRN2IkVWctZ1dbxQlkIBLlrLmRUs7fSN5+4XYioTtttuHD/0IRI+5XXXtavwi+tPraWPP6hHuQf77VjejtYNwY4PUL7nMp+YUPZ2FU04LYjIbgsqOfUO+Fa0jjRPDX+cdRQNwMCh14Hf89HGGpq6TqnJV4wpx1qNH9y6VMQqCPGsfXhsIdFJjYuLqF5mefkIGkC2xcHfcE2gD8Dl5kqkynuoqTlLvuNgobchuPLhtL9rKzVIyto2m7pfcc2oFNlSebvee6E/1iQ9ghMCQxrNv+DhJJVwFu3E//ModPpFB0AiEQJ6xrDuTSztRC3vcjhkTS9cFJeUK4P2UWV7MzKSr49Fi4dYYY24S7aP3hXJo30rP75raQbxWLcAxdVFHLf6t96cU0xep6a4lfdmSwg2tUSgRP+jgDcUF4L0B8RIZhvLX1uj3gsY7nKYvGI5uM97YnDx1jy/g7IQbK0yCfccG41t3PC8f1ZjEZIiHEo6bZrjheKqk02o0bC+CmQ6v83z7fykLW3ab6ZiOsy3c3Hr9j1ByNyH1j7Y+H02xEQrwnMDIbHti1zldFY/Y1Mwfw790S2Jdg7Pj3vdmcGzg0ybV4m2qjiY7llqs5khCRUYjy9oqDtDu1mL7aeIIveM0RjyEm2gBKcyAMQmSE8PuPy8fz633rO2tp87EC2msV2PE3bm+W/+nOwYMHKSFBOT8VDsC20vQ43pXzk84+hzk91I7TBNuKei8pErYZbKyxY0Crl+0/J8QkoGvFAdaTwDhxTe5aFm6EMzBs0A2kg6DTUE8RIx+gIM7Qcw4EPouxlMzVjQ4xFJHUVaaST6iyIqa1ioS2TkIxbgxHo1/ESBaninY9y449jW8YNdQbyWxQXG1tFQkhhNqO9eJnmg1Fra5Kwy2I/7EGS+PKuG/IQArus0jNxGv2OoQOIn3UWBaxWisG8dL6s+sQpS2CyoxfKHfD3ZS96npuScbIc9z0//BYrTNEwzEEQuVzxyMrDr83pD/nK9YWbre73T92KiWft4wCEmaTJ8HfIqTflaSPmUzGskNUV36UR8HxugG4CevKjlqfm3OREAQkzuX8x7wNd1J3BQfwf790LF0yWfkbSiSS9oETJozRCacgxlYR/v/KDVOlQNhtR45P7/ISOMP2pDVmu0Gs6Cgqauu4dAIjka2VTojSEmTwoVDI1ZFjlC8s25WhilotAYFQjFJ6qrxkX0YxYUoaOeXCTecJMJWE84rOLJKcOjiWHdQos4AjsCn4m2IRBYQ3EQnF+DX+npiy2n688dgbVBtMai4fflfhJmxK0xzRvWnuFdq0BSVfPp3z5m0LRkqrjCx6/vvH3WrrM7IUIaRiFzF3pOPFd0dN2wCvaWvt0YKDmaV8X7xWwmUK0ftfV02kpy4bx4U5eA5oCG+wlniKoh6clz584Wh2vT99xQQeicci2PkTlP8XuInxmOJzSdsJCgqi4OBg9dIWkRAlJaCpI7CgoEB1F+I+dXV1VFpa6vQ+nYEUCXsI2LFmFjdufL3cyB6TuEb4sDup/5Wp3KB7upC+9Cynzi2IXOFD77AbR3aEX8QIvhaZgsCEsdeGevK1Pi4Eotgpr1LYkFvU+yCTDk5GfI1FQghlqd+RlzaAwgffYick8sfquLHrIyJwJlZmLKW6CsXOX7DtcUr9HqJbyzt6CHP9LjtEIf0ub3y+CWdQzKTnnIqEAGPNxfteI2Op0pbmDGQMAuQNAkXwupuq0pfwuLIQRFtDC7efjfPVJ8T10QM4ZuHic2dEub1ET3iaQgdcQ3WlyngxBEIfq0hYV3aYjOVHuK24tb9x5MgHbTInJRKJRNKT6GVtOD7dy0vgeqsymDmvTIzKCueRJ+Hw/SV72b0EJ9ld765XnVCOyLM+B5R0jLSO7bpSVAFnL/LZUMIxaUDzSJOmQEzxZHmJp0eNuxIQVc8Zo7hMIZo5yyMMDfDh+zYF4tQ0qxMU74GmI+91ZguLVZdNVYwUm4/lN3sPiXFjOOFE3l5Hgd/no1VH6OrXVvKINPLmn/x6O4uGEETRLIyCDwjrv+9VDArL9yjX4/pFq7mMrQHHK9ycEF8PuThyLN5nI5tkVOI1njQghl6/cRp99+BZ9K+rJ9LtZw+l++Yr51ECPDfkIeLnCq6e3p//duD6WQNcLtiRdCwpKSksAq5YsUK9DYLgmjVraMqUKfz52LFjSafT2d0nNzeX9u/fr96nM5Djxj0ErH7YhgQ7y0WTSNyhwaysBiMXjj+31FPaTzNIHzWeYqe+4tJj+EWMZlHN9j3ZODbamKES1Huh3fcFp1xIhAseI3IMxc/6gEefcbsuOMWuwVZ5bmbF4ad1feTEVHGc8tbfwSPUPsEpZKkrJW8fOEhbXj9pq/07c9n5XMwB0S9+xttO7+cT1Jt0wX14VBivecG2v/PtSWcvIb/wxja71oDAqgtI4p/prY8hbx/3Aoz9Y6fx9/FYuEbZXZQf/5zMtUUUPuyuDrPBcwahl5ZHoy31tWoJTmDCHHahtobZWOy2YCyRSCSS7uUkTC86vZ2EO08WqQUTVQYTi3jIJLvcw1lkP+/IoA1HlLZUOOyQPYeyFDSnThkY69xJGKJnIQRHChlFVa2Olwrx6ryxyeStad3HglzCJZTuMZFQCJnC/djTOG9MMn25/gTtyyjhiCrbUoumzcaOmDY4jr7bnEpbjhawOUUIUWJEF7ENE/tHq+5OCHVCbCutNvI4Nxxy+PvivSrKS+Cq+2FrGsWG6h2+n1wFLsflezJZbEaupTgrhmOvpNJA244X0sOfbaE6k4VHnyGGwj35/h9HWJwTYuFZLroIAV4DZGciy3DdoTyXRo6FOCrEUkdAAET8lWg0bo0APx09d/UkFmIxuiw5dVRVVdHx48ftykp2795N4eHh1KtXL7rnnnvomWeeof79+/MFH/v7+9OVV17J90fe4Y033kj3338/RURE8Pc98MADNHz4cG477iykSNjDRo1LGxJ4p4wmWomkvYQPu5tK9r/GuYIAo7kNFiOZarKp5ODbVHHyW0qY9b7aTOsIiG+JZ35pd1udVST0DVFcYmKVkUeJtYHNmn0hdsFZCJEMIp4QB0WJBoib+qrb+Q0aHyUkFuIgqDeWkca3dfdZQ30dVaYv4TFp/5hJfBtGoZGlFz/zfy2OETsr/XDkJiw79D8q3PEkl4eEDrjeLYFQAIEXIqGPVeh11z3blIrU78lUmUoRw+8mT1OVtZxKDvyHjMV7WEDmfEFvH0q5aLtbgl/lyW/5WhTSSCQSiaTnkBzZ6CTs7NymzkSIWhgFhVgB4QVCB9xcnnpNUvMr6J3lB/njG+cMonmjkui573fR1uOF9Pbyg45FQquTEOOpGPNHNh1ab699bRVpNF7seLrrnGHcyCtAAQnEPna82TQCt4RoOEYxSr3F4pKw6AyMnwpnalOHV08BAi+yjjEa/MPWVLpvgTKlIxqpQUsOOjTrQkSEoAiBGsJaWkElHc4u41HqOcMTKCzQl++H21AMJXL90gqU1zYuLIDG9oli4RglkRASVx/Iof+uOEQ+Wg19+8A81RnrLs8u3kWbbMackdl34cQUfo8ezi6lv3+5nQ5lKYIyRq+fvWoCNxlnlVRzUzDcgCiynNhCYY4j4LCESIiR41vmDm7xfw95hHi/guEefp/1jg7ii+TUsn37djrjjDPUz++77z6+vu666+jDDz+khx56iGpra+n222/nkeKJEyfS8uXLeZxZ8PLLL5NWq6VFixbxfefMmcPf6+3deY5QOW7cQ8CKENgb/jwlzvuus5+OpIcQMeJe6nfFSTsHmlYfQ+aaPDJVpPLYsMZHOUhzh4DEeRQx4j7SBSWrt5Xse4VOfjuKTJVpXIqS9vOZVHLgTbvvg0iGkg7kFIL6WvvxFXcPir2tgiDEQeUaTkL7dilHNFAD5W9+gCpONIqftUW7yFC0q8XvExmBSqtyy8A1B8y1+aSPnUrhI+6ltsCOTHYFesaybq7J5/dARwDxFQIhEFmEbXEEWqwOWAjKEolEIul5DccQk5C/lVOqbO+bAvEQbqKfd6TTBysP88gh3Gw9BYOpnrPNANxG0wbHcoM3CiFaGgV2B7y+zyzexW6rCf2iWHBBY/HDF41WC0qa5hNCrCssN6jjxkAUduBx4PbC9z3x1XZ2PQrh5PN1ihNn+uBYLoRwhcTIQPL30XJpS3tHz8UIaN+Y4B5d+HDRJGXBeOW+HCqrbpzMKKyobVUkhBAIkVGMHMNN+N8VioAMByEEQvFx01xCMWqcHBVIQXqdWmry7eaT3OYLMLIMl2NbgMAMgRDP8aY5g+iTu2fTS9dPoemD4ziHFg6/F6+bzEaaiCBfHuVFDuCtZykmCOFGhdDpaNy6Jcb2jeIiF4z6H23lf+9ABvIIyS6PUNK9mTVrFu9vml4g8olz0yeffJJHiA0GA48aDxtmb/rw8/Oj119/nYqLi6mmpoaWLFlCSUmdW0IlnYQ9TCTsH1RAFSe+opB+V3CxgUTSXpoKb976WKorP06m6mwe7UW5RWsgg69g+xMUOuBaCkqeT/qoMXyxResfo5aXwEEGAVKId02BSJU49xvVwdjQYKHyox+Tb9hQ0kePd/l3EyJSfV0Zb9Bx7edrn/3hCC+NDzcGW0yNB6XsgvRpeQUvetw/SBsQb5e96Ay/yLHU65ylnMnXHkcAxribjnK7Sl1lOhXveZ4Ce53HBTX8GtXmu5Vt6A6iMRmN2aED/6TebqrOody1N/P7Aa7U1pqVI0f/jXSByRQy4JoOeZ4SiUQi6TzgmusXF8yuIAhlCQ6abeF0QjGBLRh3xIhsZwLH3KoDObRgbLLTRt63fjvATqxnrprA7biOOJBRwqIb8vvw++M4YfLAWHZlwdWE8r32gP39iz/tYWE1PNCX7l84Uj0WwXPCz8wuqeZcRDjDBEUVBh4fhdAiRKNLJ/el2cMSlGKMBqIPVh3h5/ncD7tp45F82nGykAVJsNDa4uoKEIT6x4ewwAeRx3Z81l12WwtgRqb0TBehYHBCKI9p4/XCGPnVM/rbZRK2NG4MIEb/uC2NNh3Jp8qaOtpxsoidf1dObzwuxPjtR6uPstMVYjYEtEaRUDlOHtE7gt2lizcrmeAYZTdbGvi9MK5v4/vJVYTIPHt4PF06xXHBJFx2H9w5i+O5xKg03KwQNeF6BPPcGDUW4PfH48Chuf5QHr++zhAj1iKrUyLpqkgnYQ8AO3IhEsaXf0xFu54hi9nzwcUSiRiVbbDUkbHsIOkC4l0SsDDCayjcxk3JyNhDxl1TtGhMtoqEopDE2Viul0ZH+qhx6tctdeVUuOMpqkhd7NYfCWIkhE6LsUzJX7SYuDm51e/z8mIR3k4krKtsVTD19gunqNF/I4117LjFn6HRcnFIZ49RVWUsJUPxbv7YAjHVUufSuHRbgLCnXCeohTfAULSTcxzNNTkujYNrtHoKG3wTj6lLJBKJpOcxJFHZVx/KLm3RGYamWuFsQn53Z4Lm3vs+3MTCyL0fblTHDm2Bu+vHrWksEm4/3pi77GzUGC5CcZwgiiXgoGwvX204wW4xiDePXzq2mbuvn9UJdjxXOf9oOmoMl5Rtmy8canAWxob5018vHEUXWNtXIaxAIETpxd8uGk2DrX9XVxGCzJHstucSQjTaKfIIe7h4g/fKhROV1/7n7ensBgRF1nHj1lqd4cjDuDgyMDcfK+AR4X9wI2+onRgHxx6cgVusbkLh9ISTsOlIN94rKOgAO0+4Vsxny4m8CnYt4t122dSWF7Exkt601OOWeUN4zHh8vyh2F7YFOGDB+sO5fF7eWh5hTx1pl/QcpEjYA0CORIU1DJbKd6knyRJJRyBGTS3GUtL6KyMkraHzj+NsvJq8DSz4nPh6KJWf+Nr+PlaR0FydRfUGZUXP28/5amK9oYQdjfbNxu6HTSNvEePLaGvue9lhihqrlIS0Blqu7Z2EEAl7VhYI/m5EXmSuzlZHn0FHjRuL0XWjtd1YYDt6fDq1i0skEomkZZFQjNw25VieIsBdPKkP/XnuYP4Y2WMtncB3FBBiXlu6j17+eR+76VBKUFZdRw9+vFl1sAkwMime4W6r0NmaSChIiQlyWGboLtuOF9CHq5Ts6DvOGaa+1rb0i7PmAVpfZ0GeKC0JdX4eAvHw1nlD6LazhtCUgTH01GXj6J1bZ9DMoa4dU9oinltLr1VroOwCI9D4uwzv1fPFG4zgwjGIMhGUfIDiCsVJ2FqrL0Z3RQ4l3KJPLBrXrOgFQuScEQnqOLFts7FwEv5/e/cBH3V9P378nb1IgmFkEUiAALIDMsKWJSqIo1bBWvWn9V/t0Frqw9FfRdtKpQqo1Cp1orZq/w4caAVlFBFkyh5C2CFsSAhJSHK/x/tz+R6XkHE5SG69no/Hmcvd9+6+9+Xj5e5979G1dYIpj9e18NB1Pc0+6cdYHSii2aj18a8l9s8COrBDg831pVmxb903XJ642fVKpKr6ZrY0AdMDxwodiTtVaSbzuX6EdQ84ATyJIKEfsF6MWjU798IYFOLa6HagvuLa/kiSh75szmvprKuikwaaTLCC/fPs2WhVAoA6BESdLdBMQnuQMLSi92B1cr/5lez98npzvqwiSBjixjTbtFHvSVL2M+a8Zp65GoRyziTUcmc9X1e5sa/RTEsNCOq/if33KIlrd7NENtBgJCsbovjYukof5MJi0yutEQBAYLMyzjT4oD3tnOnfD6svX2ZyvMlg0+CG9sOzBjQ0Fs1y+vUr38hnq/aYIMhtwzqYfmk62bSwpNQMTHCezqvlt5aqAUTnbEMt1awaJNShEBq40R59VrCuvk4XnZW/zvneBCp16IQ1eKIqq6dc1SChBtuUZpLV9ff+2r4ZJsikAzCcsw7rQ8s2Ndsx93ihKX+uL82Ie+1re0D01qEdTKDQ34WGBMs1fdo4Amzzvt/n6ElYV7mx+vGAdjJQg7s3X1ZjafD4PukmaKZTjhdsOCCni0vNv7Fm9irtbTn1p9ky/Y5sk52ofSC1dFytzqk5g7aqPYfzZclme6BzwgVM9dbsQnfXoIoKD3UM4plf0Wuzqu+255l+hJpN2SKOZB54N4KEfiDnkP2NgvbiiE2/1lGqCDQEHRwSnTRIUkf8U5pmut7zLSrRPjjjxFZ7I1edXuvMBOgiW9gzCSvKjUNqKWvVIKNm7+mQk7Ii+zfIIW5kEjoP5CjYN99R6lyXiISuEt60g/0XW7m07PMniW93k/gbDcyVFtrf8ITHtpHEflPMpOmG0vqqLyRt9AeVyqz19Sz9mv9K6zGfNtjjAgB8h2Y8abaafujeur9KoOrkGZO1o8Ej/UCuQZHkiiEa+441TsmxBirfWfKD/PqVJZJzKN+UM2qm0sTBmSZA8ueJfU15o2YWvr14u7mNlt2u2XkuMKhZSToMoSqdomqV/Fp9/5QGQq1MKitzq77eXbrDDCNJaxZjMv1q0j4p3rGPGlg8L0hYcbwbmgb1urS2Z2Wt/MH+BXN9vLlom3m+etyuuezcMD1/d2VWazP0RQOrT3/8vQniuZJJqHToxh9+fFmlXpRVaXm61d9Pp2Cr1IToSqW+OgW5U+q5LFXr/lbVo+T439/uNAFtDVq6Wyp8sVjP96t1++39N6uwvgAYWM1EcMDbeDRIuHjxYhk3bpykpNj7mn300Ue1br9w4UKzXdXTli2VS9MCzc48+xuBtomxkjRgumROtDeBBRqCZs2VFR+T8Ni2pmeeq6ITs03pqun7FxYroaaUtbK0Kz6U1BH/kibp10hi9jQJqyVzzDHhuOiwObkbJCzY96UcWTNFCvOWmuEYZw6vcOl2if2ekpQhsxxBrPjMiQ0aPPMULQPXIGxj9TmNaNqx2kxFM9XahX6EAIDAcGlFgGHTvsolx1YWofZGs4ISOhFZ7Tta/2wzd2j2lA7o0GEMOsjhpf83xJQkWnS/7hndxWQX6tCEXYfyZdWOwya4oOWPVq89q7di1ft2nhrszOr55s60Xw1Ifrjc/hnirpGXnte7zZkGPa3prDucyivzTlaUGzfi5NY+FdlsK3e4noFmBVI/XrHbnNcptxpMDhSauTf9jgHyo+y2cmmrpiYDVUuAm0RevCQTLfXXVljWBGyr1Li2KcFWKb0Ov3ElC3TRRvv/CzdktxVP06C/DvnR5/tdxSAUi2YxW+tzQEXvUMCbefTV8PTp09KjRw+ZOXNmvW63detWM0baOmVm2iczBXq58YVM9QJcpQHCXR8NkMNr/lyv3j4a4EmuCKppFmF1Azk0KBgcGikR8ZkSl3FdrQM+rFJkLU0OjkiQSB1kUk3gsS6FBxbL8c2z5Gy+/Y1iiAuDSwJJbPp4adH7MQ0Py7GNL8j+BbdV6sUIAIAndE6rGF5SQ5BQS40tVpBwfyMFCXXoh7qun5bU9q6U8ee8TwMrAgb//9ud8s1W+220T1/Piim7VUuONZC3fs8xE1wcVk0PPysQ404m4eyF28ywiW6tExzDXmpzbnjJyWoyCRsvSGiVvGpA1RrEURd9//rCfzaaYJQe79qy4vyVBtF/NvJSmXHHQJnz0BXyzG3ZF3VYnk7vHnTpuffldQUJdfJyVHiICbJpmb4Gzqd/uk6mf7JO3lq0Teav21fp3/fr9ftNaX16i9hq+2Y2Nh2KMqKbPbnhy7V7K11nTXrWaeTW/zeAN/NoTeqVV15pTvXVsmVLadqUjBKLNv/V3iTOb4aAhhISYS/rKNj9iZT2eNBkeLkqMqGb+RkeX1GmW4WW+hYf22CCiBrwq+3NSkik/Q2sZhHGpY83J3dY03JL8u3fnodUDM9wJQOxMHeJNOv5Oyk5sVUOLLpLmmc9IvHtfiz+JCb1csf5oqPfm+EzQS5MZwYAoFEmHO87boI9Vk8xK2jl/L64VUJFJqEbfevqq7Ss3DFYZHhXe7VUTW4c0M4EFL/esN/0cFPZHROl+Gy5mTCsAzk0oGXdh5U5pYMPqutrdi5IWL8v8zQoo0EYK4vQlWCRlhxrCaXVH7GsvFwOVwyd0D6QjRns0l56R/KLZP3uY46MtNpogGltzlFzzO8eVXNZdaDQAFdD0P6FizflVspyrYlmcvZIb24mFT8953vZcyTftBNwpv0Tp/yknwmSz129x1x2Va+0ixrcvBCje6aZEujvfjgsR/OLHOXbSx1fACR5zb4CtfHJvOqsrCxJTk6WESNGyIIFCyTQ6R/Dmwa2M/0fgIYWFHTuZSM0un5TbrXHYMa1yyShyy+qvf70/nlyYNH/yK45A2Xf/Nr7+1mZhGXF5xp+uyMk3B4kPJu/y/wMdjGTsOjwajm5/U0z5bms5KSUl5ysdGz8jX5IKS08KKFRLf36eQIAfIO22YkICzH91HSib3VDSzyRSahBS+0vqCW51hTgmmhfNh1iotOIz5SUySUxEWYoi2ZJagmoTnrVvn+WhRVBwuqyCK2A2bkJx+f3RavJ7IVbTW+3oZ2TzT65on2yPSPKOt4aINRgre53dZmTDUWDLlY24QoXSo5PFZbIS/M2m/O3DM40PfbQMPT/Qc2uax4XaYbM1KV3W3vbIJ1yrAHCQZ2SzECZMVlp5v91DZp/snK3bNl/wvT61CDv8G6uJys0NO1tqV9e6P8HX1UMMNH/t5dts5cfa9Yq4At8arqFBgZnzZolvXv3luLiYnnzzTdNoFB7FQ4ZMqTa2+h2erLk57vXyBfA+YKCw+r9Rq62wGJo9LkehHX1n4tq2U/a37zN7MPR758RCQ6VZt3uq/c/k1VefNaRSXiJy9ONlZbelpfYv0XXXov+5uzpA7Jv3o8kNuM6KTtzSELqGRgGAKChsp86psTLut3HTF9CzaLTctxTFUNLrICZapVg/5utU3A1068h+8+t+MEeqNLAlSsTUzXbSp+DlUWot4kMCzG94vRyLTnWIKdOctWsPR1QMtipjNOZlvlqMEV7oGlwMa1ikElttIRzVcXAFB2s4ipreMm+owVSVFLqKDXWXoUXMinWHXqsv1i71z68ZHTtmYEvf7XZlLRqZps39LLzd78b38Pl7LlBlybJ+8t2Snx0hPxsZCfp1uZcYLFdYpz87YuN8spXWxxZxEM6J0tsVP0+izS00T1bmdej/6zdKzf0z5BNe4+b9aYDi7TvI+ALfCpI2LFjR3OyZGdny969e+Xpp5+uMUg4ZcoUefzxxxtxLwH/l3H9SjOA5GJzLl0OrSgnronzBO9Tuz40GYHuBAmtcmObrUzCmqSbnoj1CxLmm5O5LDzOL8vLSwtzTaZladFhiWjW3dO7BACAocECDaRp9p5ObK1uaIlqFhvhCJ4dPFEorZrVHTxzl5XNZmW31UW30z5lGgDUTD6Lll7ag4RH5erebWRBRRahbq+DJ6qjwTnNZtLjoH0JXQkS6rY6MEUzH+sqCXWmpZQ6qOFYQbEZXrJsu316a1Ij9iO0ZLVtbp773qOnzb+vVe6sAVAtpd5zpMBkmZ4sPCv/WWsvq77v6m4m6xENqz7ltQlNIuWNXw2v9rqxl7Uxpfnae9Iq57+qV2vxNhq4/Pt/NpkhSf/zt4WOkmPt8xlIw3Hg23wqSFid/v37y1tvvVXj9Q8//LA88MADjt/3798vnTvTewK4EKGRzRrmfp0zCaPqbppdsP8rCZJgM303PK69W48Z1qS1xLYZL3HtfizRSQNcvp2VNVimmYRWkNAPMwk1aKpTo4uOrhOxlUloFJmEAADvoKW5ak3OUTlTUuoIElYt89VAhfYl1GCWfnhvqCCh9iHTgYIaFulVUTpZF923P0/sa/bLOdOoZ3ozeXORmEmpD7+9XLYdsD+3y6uZauxMA332IGGBDLq07sfXTCfVJe2SevdL0+Cm9l976qO1jkzCfh0a/32CZmlp5uXGvcfl8fdWSdOYcDlTXGoCrxoArerq3q2lSxpZXb5Eg8APjOsuP39psSnNt0p7vU1MRJjcf3U3+ft/NsrBE2fMSVlDigBf4PNBwjVr1pgy5JpERESYk+XUKXtZIADv45zFFxpV95vrwyv+IEEhEWIrKzKBLHfoJOWkgTPqfbvK5cb+GyRUoTGpUnJyu7TsN1XC4zI8vTsAADgGeGhASMuMn3x/tZRUBISqG+anJbsaJNzfgMNLVlZkEWamxNerV7huW3X7jqlNTXafliqurigHbhIZKtl1BOGs4SXa180VGlhznhZdH1pyrEFCDRBqGfQ9V3SWsb3biCdoEEafiwZpnZnekElxjqxBPc53jujkkX3EhdEMUc0AfW7uBvnJkEyvHQIyvFuqDOiUZAatzPkuRyLDQ10aqAN4C48GCQsKCuSHH35w/J6TkyNr166VhIQEad26tckC1My/2bNnm+tnzJgh6enp0qVLFykpKTEZhO+//745AfAv1vTiWreJaiHFR78350PdDBJajm14XsLi2kls66tc2j4sto3EtZ8gYTFpEtXiMolOGSah0f75LWFYTCtznGPTr5HgEAYkAQC8J2vn8ZsukwdnLzPBKkt1QULHhOOjDR8k7NOu7vcwddGg1rTbs2Xr/nMD2jJTmpqAQ22skmEtN66LluBq/zTV1Y3Muq5tEkSWiBm48vsf9fJoz7XxfdLNEBLNIFQhIcGSmRQvKQnRXhtMQv1d3jXVnLyd9hUdd1kbcwJ8jUeDhCtXrpTLL7/c8btVFnzbbbfJ66+/Lrm5ubJnj328udLA4KRJk0zgMCoqygQLP/vsM7nqKtc+1APwfu1u2mKfoutCSbNO2rXGErmbSahvkHMX3y2n98+XJmljXA4SRjTtJIl9n3T8Hhbj/W9Y3GU9t9LTB8gkBAB4lU6pl8hD12fJE++tMhN6NaMtw2loSdUJxzpooyHoNOHVOyv6Eba/OFlDWhZd39Lo9IpMQp3kXNeQFg2YaqaiTomtaxJzdXplNJe//rS/yV7UjD1P0uc5oKN/flkLAAETJBw2bJj5gF4TDRQ6e/DBB80JgP/STLXwWNe+dQuJtL8Jj824XiKb93Tr8fTbZQ0QmseumHRcX6VnDklQUKiERPpnf5u49hOl+OR22TN3jLS+6nMJj2MaIADAe2hw6N4xXcz0U+1T5jy0xNKqIkjobrnxtgMnTAlv89goaREXaTLUdMKyc2+/gqJS0x+vY4p9KJon6HThqPAQ07dNn6tVflwdK4uwQ0pTt4Z46Huo7k4TaAEAvs/nexICCFyaSagu6XSXRFziQnfuOoSEux4kLCs5KblLfiExycOkYM9cOVt4QNpet0z8kQZt9VjbykvMtGMAALzNNX3SzSATDeBVJ6Wi3PhofrEZchJVR9mus9PFZ+V3s5dJ0dkyx2Xa5+65Owc6AoWfrrJXP2V3TDTZjJ6igbvWzWNl64ETZnhJbUHCjXuPmZ9dvHAABADAM5jDDcBnhcdmSERCd7HZzp9c546QCNe/+dfMwTMHv5HiE1vMdOMQPx1aovT4Fh1da84Hh9e/HAkAgMagvQhrGhgSFxXuKInVUtz6WLfrmAkQRkeEmqmqocFBZnLu/HX7zfWHT52RxZtyzflr+6SLp1l9CXMOnWqwoSUAAP9EkBCAz9JBGjEpw+Twit9LWcmFTy4PqUe5cVBotEhQsJluXHY2328nGytb6RkpObHVnKf5NwDAV6Vaw0vqWXK8qqLX4IhuqfKPe4bK7cM7mt/fXrxdzpaVyycrdku5zSbd2yS41dvvYtPJyGru6j2m52B19HJriAtBQgCAhSAhAJ9WfHKbFB1bJ8Gh9jf+7giNSav42crl22iwLDi0iQkSlpeckuBw/w0SBoe5f2wBAPAW1vCSPYcL3AoS9m5r74U87rJ0SWgSIXknz8ic73bJZ6vtpcbX9c0QbzC6RyuTTXjidIk8P3dDtdtoD0WlmZGaZQkAgCJICMBnlZcWyum9X4jYyiUo+Pwm5a5q2ecJadH7MYlsnlWv2wWHNZHykuNiKzsjwWFx4s/ajP1aMq791tO7AQCA23SoiVq69aDLt8k9XigHjhWaPoPd0+19eSPDQmTCoPbm/MvzN0tB0VlJviRa+nVI9Ip/HR3c8rvxPSU4KEj+uzlXFm48UGM/QrIIAQDOCBIC8F1B7gcGnWnJctOOt5vJyvWhJcalhfYPGv6cSajC4zIkNDrJ07sBAIDbBl+abKb45hzKlx0HXWtTsroii1CHosREhDkuH5OVZiYJ2yp+H98n3aMDS6rrz2gFMmd+vkG2554Um80mZeU2efebHfLh8hxzXdc0BpIBAM5hujEAn2UF9UKjUzzy+Ald7hWb2KRJq9EitnMTDwEAgPeJjQqTfpktZcmWgzJ//T5pl9S5ztus2nnE/Ozdtvl52Xq3DG4v0z9dL9HhoTK6p+stSxrLhMHtZdm2PNmRd0p++fISSWsWI5HhoSZgqLI7JMqwrp55DwUA8E4ECQH4tLY3rJGg4HPf7Df24BQAAOA7RnZvZYKECzcckLtGdJKQ4JoLq8rKy2Vtjj1I2KuiH6GzUT3SpKCoVNomxlXKMvQWmjX5hx/3llnzNst32w/J3opBJTql+Z4rOsuo7q0YSAYAqIQgIQCfFhJhn+DnKaVnDkvxsfUScUkXCY32jl5EAACgepe1byHx0eFyrKBYVu88In3at6zxUG3Zf0JOF5eaDEQt361Ky4t/lN3Wqw91UtNo+cONveV08Vn5dmue5J04IyO7p0pi02hP7xoAwAvRkxAA3HRkzRTJ+bCvHFh0pxTmLeU4AgDg5TS7bmiXZHP+q/X7a91Wg4gqK6O5V/UbdIdmOmoW5S1DMgkQAgBqRJAQANxkc+pDGBzu39ONAQDwFxosU0u3HDQZdjVZteNwtf0IAQDwVwQJAcDdF9CwcxONQ5zOAwAA79UhOd4M8SguLZfXF2yVcps1o/icE6eLZeuBEzX2IwQAwB8RJAQAd19Aw5o4nSdICACALwgKCpIJg9qb8x+v2C3PfPy9lJaVV9pmxQ+HpdwmZihJy/goD+0pAACNiyAhAFyMIGE4QUIAAHzFiO6tZNI1PSQ4KEjmr9svj/97lZSUnmsjsmxbnvnZv0PNg00AAPA3BAkB4KJkEtKTEAAAXzKqRyuZfFNviQgNlu+2HzJZhUqDhat22vsRZndI9PBeAgDQeAgSAoCbolr2l1Yj35W216+SEAaXAADgc/plJso9Y7qY8x8uz5GzZeWybvcxOVNSJglNIqR9cryndxEAgEZDkBAA3BQa2UyiWvaVkMgEjiEAAD5qRLdUExA8kl8kCzcccCo1TjTlyAAABAqChADgJlt5mRxd/5wc3/wPjiEAAD4qPDREruuXYc6/t3SHI0jYL5N+hACAwEKQEADcVHrmoBxbP12OrHmSYwgAgA+7uldriY4IlT1HCuTwqSLTpzAro7mndwsAgEZFkBAA3H0BDWOiMQAA/iAmMswECi1ZbVtIRFiIR/cJAIDGRpAQANx9AQ2N4dgBAOAntOQ4NNjegzC7A6XGAIDAE+rpHQAAXxUUHCIt+02V8Pj2nt4VAABwgZrFRsrdozvL9zlHZEjnFI4nACDgECQEgAsQ3+5Gjh8AAH5ifJ90cwIAIBBRbgwAAAAAAAC4aPLkyRIUFFTplJSU5LjeZrOZbVJSUiQqKkqGDRsmGzduFG9HkBAAAAAAAACohy5dukhubq7jtH79esd1U6dOlWnTpsnMmTNlxYoVJoA4atQoyc/PF29GkBAAAAAAAACoh9DQUBP8s04tWrRwZBHOmDFDHn30Ubn++uula9eu8sYbb0hhYaH885//FG9GkBAAAAAAAACoh+3bt5ty4oyMDLn55ptl586d5vKcnBw5ePCgjB492rFtRESEDB06VJYuXSrejMElAAAAAAAACHj5+fly6tSpSsE9PVXVr18/mT17tnTo0EHy8vLkT3/6kwwYMMD0HdQAoUpMTKx0G/199+7dXn2MySQEAAAAAABAwOvcubPEx8c7TlOmTKn2mFx55ZVyww03SLdu3WTkyJHy2Wefmcu1rNiiw0ycaRly1cu8DZmEAAAAAAAACHibNm2S1NRUx3GoLouwOjExMSZgqCXI1157rblMMwqTk5Md2xw6dOi87EJvQyYhAAAAAAAAAl5sbKzExcU5Tq4GCYuLi2Xz5s0mKKg9CnWQybx58xzXl5SUyKJFi0xJsjcjkxAAAAAAAABw0aRJk2TcuHHSunVrkyGoPQm1l+Ftt91mSorvv/9+efLJJyUzM9Oc9Hx0dLRMnDhRvBlBQgAAAAAAAMBF+/btkwkTJsiRI0ekRYsW0r9/f1m2bJm0adPGXP/ggw/KmTNn5N5775Xjx4+bQSdffvmlyVT0ZkE27ZwYYP+QaWlpsnfvXmnVqpWndwcAAAAAAAAeRKw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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Note: NLDAS doesn't have a direct SWE variable, so we use shortwave radiation\n",
+ "# as a snowmelt driver proxy alongside streamflow\n",
+ "fig, ax1 = plt.subplots(figsize=(13, 4))\n",
+ "ax2 = ax1.twinx()\n",
+ "\n",
+ "ax1.plot(wy_df.index, wy_df['flow_cms'], color='steelblue', lw=1.5, label='Streamflow (cms)')\n",
+ "ax2.plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod', lw=1.2,\n",
+ " linestyle='--', label='SW Radiation W/m² (NLDAS)')\n",
+ "\n",
+ "ax1.set_ylabel('Streamflow (m³/s)', color='steelblue')\n",
+ "ax2.set_ylabel('SW Radiation (W/m²)', color='goldenrod')\n",
+ "ax1.set_xlabel('Date')\n",
+ "ax1.set_title(f'Streamflow and Solar Radiation — Fremont River WY{water_year}')\n",
+ "lines1, labels1 = ax1.get_legend_handles_labels()\n",
+ "lines2, labels2 = ax2.get_legend_handles_labels()\n",
+ "ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
+ "plt.tight_layout()\n",
+ "plt.savefig(f'figures/{basinname}_WY{water_year}_streamflow_radiation.png', dpi=150)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, axes = plt.subplots(2, 1, figsize=(13, 6), sharex=True)\n",
+ "\n",
+ "axes[0].plot(wy_df.index, wy_df['temperature'], color='tomato', lw=1.2, label='Temperature °C (NLDAS)')\n",
+ "axes[0].axhline(0, color='k', lw=0.8, linestyle='--', alpha=0.5)\n",
+ "axes[0].set_ylabel('Temperature (°C)')\n",
+ "axes[0].set_title(f'Snowmelt Drivers — Fremont River WY{water_year}')\n",
+ "axes[0].legend(loc='upper left')\n",
+ "\n",
+ "axes[1].plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod', lw=1.2,\n",
+ " label='SW Radiation W/m² (NLDAS)')\n",
+ "axes[1].set_ylabel('SW Radiation (W/m²)')\n",
+ "axes[1].set_xlabel('Date')\n",
+ "axes[1].legend(loc='upper left')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.savefig(f'figures/{basinname}_WY{water_year}_snowmelt_drivers.png', dpi=150)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, ax1 = plt.subplots(figsize=(13, 4))\n",
+ "ax2 = ax1.twinx()\n",
+ "\n",
+ "ax2.bar(wy_df.index, wy_df['prcp_mm_day'], color='cornflowerblue',\n",
+ " alpha=0.5, label='Precip mm/day (NLDAS)', width=1)\n",
+ "ax1.plot(wy_df.index, wy_df['flow_cms'], color='steelblue', lw=1.5, label='Streamflow (cms)')\n",
+ "\n",
+ "ax1.set_ylabel('Streamflow (m³/s)', color='steelblue')\n",
+ "ax2.set_ylabel('Precipitation (mm/day)', color='cornflowerblue')\n",
+ "ax2.invert_yaxis()\n",
+ "ax1.set_xlabel('Date')\n",
+ "ax1.set_title(f'Rainfall–Runoff Response — Fremont River WY{water_year}')\n",
+ "lines1, labels1 = ax1.get_legend_handles_labels()\n",
+ "lines2, labels2 = ax2.get_legend_handles_labels()\n",
+ "ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n",
+ "plt.tight_layout()\n",
+ "plt.savefig(f'figures/{basinname}_WY{water_year}_rainfall_runoff.png', dpi=150)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
"metadata": {},
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# reflect energy balance: shortwave (incoming solar) vs longwave (thermal emission)\n",
+ "fig, axes = plt.subplots(2, 1, figsize=(13, 7), sharex=True)\n",
+ "\n",
+ "axes[0].plot(wy_df.index, wy_df['shortwave_radiation'], color='goldenrod',\n",
+ " lw=1.2, label='Shortwave radiation W/m²')\n",
+ "axes[0].plot(wy_df.index, wy_df['longwave_radiation'], color='tomato',\n",
+ " lw=1.2, linestyle='--', label='Longwave radiation W/m²')\n",
+ "axes[0].set_ylabel('Radiation (W/m²)')\n",
+ "axes[0].set_title(f'Shortwave vs Longwave Radiation — Fremont River WY{water_year}')\n",
+ "axes[0].legend(loc='upper right')\n",
+ "\n",
+ "axes[1].plot(wy_df.index, wy_df['temperature'], color='steelblue',\n",
+ " lw=1.2, label='NLDAS temperature (°C)')\n",
+ "axes[1].plot(wy_df.index, wy_df['prcp_mm_day'], color='cornflowerblue',\n",
+ " lw=1.2, linestyle='--', label='NLDAS precip (mm/day)')\n",
+ "axes[1].set_ylabel('Temp (°C) / Precip (mm/day)')\n",
+ "axes[1].set_xlabel('Date')\n",
+ "axes[1].legend(loc='upper right')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.savefig(f'figures/{basinname}_WY{water_year}_radiation_comparison.png', dpi=150)\n",
+ "plt.show()"
+ ]
}
],
"metadata": {
diff --git a/cache/aiohttp_cache.sqlite b/cache/aiohttp_cache.sqlite
index 0323d3e..6917d56 100644
Binary files a/cache/aiohttp_cache.sqlite and b/cache/aiohttp_cache.sqlite differ
diff --git a/supporting_scripts/getData.py b/supporting_scripts/getData.py
index a456764..6956986 100644
--- a/supporting_scripts/getData.py
+++ b/supporting_scripts/getData.py
@@ -1,5 +1,6 @@
import os
import sys
+from urllib import response
import pytz
import urllib3
import datetime
@@ -22,9 +23,14 @@ def getSNOTELData(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder):
url = url1+url2+url3+url4
print(f'Start retrieving data for {SiteName}, {SiteID} \n {url}')
- http = urllib3.PoolManager()
- response = http.request('GET', url)
- data = response.data.decode('utf-8')
+ # http = urllib3.PoolManager()
+ # response = http.request('GET', url)
+ # data = response.data.decode('utf-8')
+
+ response = requests.get(url, timeout=60)
+ response.raise_for_status()
+ data = response.text
+
i=0
for line in data.split("\n"):
if line.startswith("#"):
@@ -109,6 +115,64 @@ def getCaliSNOTELData(SiteName, SiteID, StartDate, EndDate, OutputFolder):
df.to_csv(f'./{OutputFolder}/df_{SiteID}_{StateAbb}_SNTL.csv', index=False)
+
+def get_Landsat_NDSI(basin_polygon_coords, StartDate, EndDate):
+ import ee
+ import pandas as pd
+
+ ee.Authenticate()
+ ee.Initialize()
+
+ basin = ee.Geometry.Polygon(basin_polygon_coords)
+
+ col = (
+ ee.ImageCollection("LANDSAT/LC08/C02/T2_L2")
+ .filterBounds(basin)
+ .filterDate(StartDate, EndDate)
+ .sort("CLOUD_COVER")
+ )
+
+ n = col.size().getInfo()
+ img_list = col.toList(n)
+
+ records = []
+
+ for i in range(n):
+ img = ee.Image(img_list.get(i))
+
+ qa = img.select("QA_PIXEL")
+ cloud_mask = (
+ qa.bitwiseAnd(1 << 1).eq(0)
+ .And(qa.bitwiseAnd(1 << 2).eq(0))
+ .And(qa.bitwiseAnd(1 << 3).eq(0))
+ .And(qa.bitwiseAnd(1 << 4).eq(0))
+ )
+
+ green = img.select("SR_B3").multiply(2.75e-05).add(-0.2)
+ swir1 = img.select("SR_B6").multiply(2.75e-05).add(-0.2)
+
+ ndsi = green.subtract(swir1).divide(green.add(swir1)).rename("NDSI")
+ ndsi = ndsi.updateMask(cloud_mask)
+
+ stat = ndsi.reduceRegion(
+ reducer=ee.Reducer.mean(),
+ geometry=basin,
+ scale=30,
+ maxPixels=1e9,
+ ).getInfo()
+
+ if stat and stat.get("NDSI") is not None:
+ records.append({
+ "Date": pd.to_datetime(img.date().format("YYYY-MM-dd").getInfo()),
+ "NDSI": stat["NDSI"],
+ })
+
+ df = pd.DataFrame(records)
+ if not df.empty:
+ df = df.sort_values("Date").set_index("Date")
+ return df
+
+
def convert_latlon_to_yx(lat, lon, input_crs, ds, output_crs):
"""
This function takes latitude and longitude values along with