diff --git a/EDA Mosaics - Dixie Fire Burn Extent/EDA Mosaics - Dixie Fire Burn Extent.ipynb b/EDA Mosaics - Dixie Fire Burn Extent/EDA Mosaics - Dixie Fire Burn Extent.ipynb
index 3d7328e..6353cf3 100644
--- a/EDA Mosaics - Dixie Fire Burn Extent/EDA Mosaics - Dixie Fire Burn Extent.ipynb	
+++ b/EDA Mosaics - Dixie Fire Burn Extent/EDA Mosaics - Dixie Fire Burn Extent.ipynb	
@@ -48,8 +48,8 @@
    "metadata": {},
    "source": [
     "**References:**\n",
-    "- [Earthdaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
-    "- [Earthdata Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
+    "- [EarthDaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
+    "- [Earth Data Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
     "- [Xarray as multi-dimensional object](https://docs.xarray.dev/en/stable/)\n",
     "- [Spyndex spectral indices library](https://github.com/awesome-spectral-indices/spyndex)"
    ]
@@ -128,7 +128,7 @@
    "id": "f159c8da-763f-4c93-b80d-4533343a8d64",
    "metadata": {},
    "source": [
-    "## 1️⃣ Environment Setup\n",
+    "## Environment Setup\n",
     "\n",
     "We start by setting up the environment and loading the necessary libraries, including [Dask](https://www.dask.org/) for parallel computing and geospatial libraries like [GeoPandas](https://geopandas.org/en/stable/docs/reference.html) and [Rasterio](https://rasterio.readthedocs.io/en/stable/).\n",
     "\n",
@@ -221,6 +221,14 @@
     "load_dotenv(\"template.env\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "db8b9a56-7afc-43f9-9104-554e64ed81f7",
+   "metadata": {},
+   "source": [
+    "> _**Note:**_ To gain access to the Earth Data Store data used in this example, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3ad7a8fd-3b16-45bb-9c0a-d92c3bf40e55",
@@ -375,7 +383,7 @@
    "id": "80e47780-8864-4880-9c50-b15388d2b1c8",
    "metadata": {},
    "source": [
-    "## 2️⃣ Loading Satellite Data and Calculating Burn Indices\n",
+    "## Loading Satellite Data and Calculating Burn Indices\n",
     "\n",
     "Below we will iterate over each Item ID corresponding to a **PRE** and **POST** fire Mosaic. For each item we:\n",
     "\n",
@@ -539,7 +547,7 @@
    "id": "b6675a04-46ec-466e-b951-c57c05b2cb91",
    "metadata": {},
    "source": [
-    "## 3️⃣ Calculate the Burned Area\n",
+    "## Calculate the Burned Area\n",
     "\n",
     "Analyzing the difference in BAI and NBR values enables:\n",
     "\n",
@@ -1809,9 +1817,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "temp-test",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "temp-test"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1823,7 +1831,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI.ipynb b/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI.ipynb
index 0c5cfe2..0152236 100644
--- a/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI.ipynb	
+++ b/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI/EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI.ipynb	
@@ -48,8 +48,8 @@
    "metadata": {},
    "source": [
     "**References:**\n",
-    "- [Earthdaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
-    "- [Earthdata Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
+    "- [EarthDaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
+    "- [Earth Data Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
     "- [Xarray as multi-dimensional object](https://docs.xarray.dev/en/stable/)"
    ]
   },
@@ -120,7 +120,7 @@
    "id": "5fc53f95-e239-43ae-8b06-4d5b4274ba1c",
    "metadata": {},
    "source": [
-    "## 1️⃣ Environment Setup\n",
+    "## Environment Setup\n",
     "\n",
     "We start by setting up the environment and loading the necessary libraries, including geospatial libraries like [GeoPandas](https://geopandas.org/en/stable/docs/reference.html) and [Rasterio](https://rasterio.readthedocs.io/en/stable/).\n",
     "\n",
@@ -225,6 +225,14 @@
     "load_dotenv(\"template.env\")  # take environment variables from .env."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8f2d4a37-e91a-46e2-b4fa-4b49e64c6326",
+   "metadata": {},
+   "source": [
+    "> _**Note:**_ To gain access to the Earth Data Store data used in this example, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -8901,7 +8909,7 @@
    "id": "8529d9e7-bb49-4a43-8891-1fe3953838ab",
    "metadata": {},
    "source": [
-    "## 2️⃣ Loading Satellite Data\n",
+    "## Loading Satellite Data\n",
     "Below we will:\n",
     "* [Search Sentinel-2 Collection](https://pystac-client.readthedocs.io/en/stable/api.html#pystac_client.Client.search) for imagery over our AOI and TOI, including a max_cloud percentage\n",
     "* Use [`stac_load`](https://odc-stac.readthedocs.io/en/latest/_api/odc.stac.load.html) to retrieve an [`xarray Dataset`](https://docs.xarray.dev/en/stable/), which includes: \n",
@@ -11660,7 +11668,7 @@
    "id": "d9f50284-d763-489c-aff3-de1725140b4e",
    "metadata": {},
    "source": [
-    "## 3️⃣ Calculate NDVI"
+    "## Calculate NDVI"
    ]
   },
   {
diff --git a/EDA Mosaics - Rio Grande do Sul Flood Extent/EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb b/EDA Mosaics - Rio Grande do Sul Flood Extent/EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb
index 9ac6f19..12a2a99 100644
--- a/EDA Mosaics - Rio Grande do Sul Flood Extent/EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb	
+++ b/EDA Mosaics - Rio Grande do Sul Flood Extent/EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb	
@@ -48,8 +48,8 @@
    "metadata": {},
    "source": [
     "**References:**\n",
-    "- [Earthdaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
-    "- [Earthdata Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
+    "- [EarthDaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
+    "- [Earth Data Store documentation](https://earthdaily.github.io/EDA-Documentation/)\n",
     "- [Xarray as multi-dimensional object](https://docs.xarray.dev/en/stable/)\n",
     "- [Spyndex spectral indices library](https://github.com/awesome-spectral-indices/spyndex)"
    ]
@@ -129,7 +129,7 @@
    "id": "f159c8da-763f-4c93-b80d-4533343a8d64",
    "metadata": {},
    "source": [
-    "## 1️⃣ Environment Setup\n",
+    "## Environment Setup\n",
     "\n",
     "We start by setting up the environment and loading the necessary libraries, including [Dask](https://www.dask.org/) for parallel computing and geospatial libraries like [GeoPandas](https://geopandas.org/en/stable/docs/reference.html) and [Rasterio](https://rasterio.readthedocs.io/en/stable/).\n",
     "\n",
@@ -224,12 +224,20 @@
     "load_dotenv(\"template.env\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "322624a8-583a-44af-b945-17018897661a",
+   "metadata": {},
+   "source": [
+    "> _**Note:**_ To gain access to the Earth Data Store data used in this example, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3608446a-0194-44c5-86d8-53b1614dd28b",
    "metadata": {},
    "source": [
-    "Establishing a connection to the EarthDataStore:"
+    "Establishing a connection to the Earth Data Store:"
    ]
   },
   {
@@ -664,7 +672,7 @@
    "id": "80e47780-8864-4880-9c50-b15388d2b1c8",
    "metadata": {},
    "source": [
-    "## 2️⃣ Loading Satellite Data and Calculating Flooded Areas\n",
+    "## Loading Satellite Data and Calculating Flooded Areas\n",
     "Below we will iterate over each Item ID corresponding to a **PRE** and **POST** flood Mosaic. For each item we:\n",
     "\n",
     "* Retrieve the corresponding EarthMosaic items, by passing a Collection and Item ID to an EarthDataStore search\n",
@@ -832,7 +840,7 @@
    "id": "b6675a04-46ec-466e-b951-c57c05b2cb91",
    "metadata": {},
    "source": [
-    "## 3️⃣ Calculate the Flooded Area\n",
+    "## Calculate the Flooded Area\n",
     "\n",
     "Analyzing the difference in NDVI-MNDWI values enables:\n",
     "\n",
@@ -2023,9 +2031,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "temp-test",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "temp-test"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2037,7 +2045,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/Getting Started with EarthDaily/Getting Started with EarthDaily.ipynb b/Getting Started with EarthDaily/Getting Started with EarthDaily.ipynb
new file mode 100644
index 0000000..bfcca4e
--- /dev/null
+++ b/Getting Started with EarthDaily/Getting Started with EarthDaily.ipynb	
@@ -0,0 +1,9278 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "777ceb6e-3e2d-419f-8909-251a9cd90512",
+   "metadata": {},
+   "source": [
+    "<img src=\"https://raw.githubusercontent.com/earthdaily/Images/main/Corporate/EarthDaily.png\" width=\"20%\" alt=\"EarthDaily Analytics\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9770bdf-7982-4293-ad00-dbac0d089877",
+   "metadata": {},
+   "source": [
+    "# Getting Started with EarthDaily\n",
+    "__________________\n",
+    "<a href=\"https://earthdaily.com/contact/\">Give Feedback</a> | <a href=\"https://github.com/earthdaily\">Bug report</a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a01855a-6c12-4eb4-9bf8-1e67a75d2498",
+   "metadata": {},
+   "source": [
+    "**Tags:** #EDS, #EarthMosaics, #EarthDailyConstellation, #EDC, #Sentinel-2, #VENuS, #Landsat, #STAC, #ODC"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea332895-28ac-44d7-bfa3-d9f108ea2ed2",
+   "metadata": {},
+   "source": [
+    "**Authors**: EarthDaily Analytics"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33471898-b728-4a4d-80e9-472b86c94725",
+   "metadata": {},
+   "source": [
+    "**Last update:** 2024-12-17 (Created: 2024-12-17)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "086e1db5-0d3b-456b-9b29-e91499d41d07",
+   "metadata": {},
+   "source": [
+    "**References:**\n",
+    "- [EarthDaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
+    "- [Earth Data Store documentation](https://earthdaily.github.io/EDA-Documentation/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29ca511f-221b-4fc1-82e9-719f2ea79185",
+   "metadata": {},
+   "source": [
+    "## Introduction\n",
+    "EarthDaily Analytics offers access to several [STAC-complient](https://stacspec.org/en) catalogs of raster data, such as [EarthMosaics](https://earthdaily.com/product-service/earthmosaics/) and [VENuS](https://earthdaily.com/earthdaily-ven%C2%B5s-l2a-cloud-optimized-geotiffs/), as well as maintains development of the [EarthDaily Python Client](https://pypi.org/project/earthdaily/), which acts as a user-friendly access interface to retrieve pixel data as [xarray](https://docs.xarray.dev/en/stable/) objects."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "327a5468-1076-4a47-9c36-efee76ba8b18",
+   "metadata": {},
+   "source": [
+    "## Objectives\n",
+    "This document explores the basics of accessing and analyzing data hosted by EarthDaily. By the end of this notebook, we will have:\n",
+    "* Authenticated a connection to the STAC-complient Earth Data Store\n",
+    "* Listed available collections\n",
+    "* Searched for image data over specified areas of interest (AOIs)\n",
+    "* Retrieved image data as an n-dimensional array"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c37f74a3-84dd-4d9e-95af-de1ff45dd689",
+   "metadata": {},
+   "source": [
+    "#### _Note_\n",
+    "_Most examples contained in this repository use the EarthDaily Python client to search and access image data. If you prefer to use PySTAC and ODC directly, we outline examples of these access patterns in this notebook._"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "921e9d11-6db6-4a33-9ed0-ce6c12b4c7e9",
+   "metadata": {},
+   "source": [
+    "Import dependencies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "73483f80-2d06-45c8-814a-3ebe98770311",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import earthdaily\n",
+    "from earthdaily import EarthDataStore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "af4988e0-6c64-4644-a776-96d5d57c2e1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests\n",
+    "\n",
+    "import geopandas as gpd\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "\n",
+    "from dotenv import load_dotenv\n",
+    "from odc.stac import stac_load\n",
+    "from shapely.geometry import box\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d10dca-8ee3-4211-9274-b08c62ede6a3",
+   "metadata": {},
+   "source": [
+    "## Connecting to EarthDataStore"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e00a4bc6-f961-409e-9449-88bcf550f7b0",
+   "metadata": {},
+   "source": [
+    "We start by loading in environment variables, please update the associated [`template.env`](template.env) with credentials gathered from the [EarthDaily Account Management page](https://console.earthdaily.com/account)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e3c566ed-51b0-495d-8bc9-dbae93daec09",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "load_dotenv(\"template.env\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "285d6029-c89b-4383-8ab3-be319899c586",
+   "metadata": {},
+   "source": [
+    "> _**Note:**_ To gain access to the Earth Data Store data used in this example, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d24b79c2-8ed8-49c8-8e9c-2ee02b6aca44",
+   "metadata": {},
+   "source": [
+    "Next, instantiate a connection to the Earth Data Store:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "03454119-4e59-4d68-923b-8b0833728524",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "eds = EarthDataStore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41d2dc79-4b90-491b-98de-4a34246d649c",
+   "metadata": {},
+   "source": [
+    "Listing available Collections via `eds.explore()`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "298c88f0-0ca3-4e69-8624-7bf764b02a84",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['ai-ready-mosaics',\n",
+       " 'ai-ready-mosaics-preview',\n",
+       " 'ai-ready-mosaics-sample',\n",
+       " 'cropland-data-layer-us',\n",
+       " 'earthdaily-simulated-cloudless-l2a-cog-edagro',\n",
+       " 'landsat-c2l1',\n",
+       " 'landsat-c2l2-sr',\n",
+       " 'landsat-c2l2-st',\n",
+       " 'sentinel-1-grd',\n",
+       " 'sentinel-1-rtc',\n",
+       " 'sentinel-2-c1-l2a',\n",
+       " 'sentinel-2-l1c',\n",
+       " 'sentinel-2-l2a',\n",
+       " 'venus-l2a']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "eds.explore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc0182ab-905b-4804-83e8-5c7684d9f32a",
+   "metadata": {},
+   "source": [
+    "### _Connecting via PySTAC_\n",
+    "If you prefer to access data via the [PySTAC Client](https://pystac-client.readthedocs.io/en/stable/), you can retrieve an active bearer token and connect as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c21b856e-84fc-422b-8f62-8262494fabc2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<Collection id=ai-ready-mosaics>,\n",
+       " <Collection id=ai-ready-mosaics-preview>,\n",
+       " <Collection id=ai-ready-mosaics-sample>,\n",
+       " <Collection id=cropland-data-layer-us>,\n",
+       " <Collection id=earthdaily-simulated-cloudless-l2a-cog-edagro>,\n",
+       " <Collection id=landsat-c2l1>,\n",
+       " <Collection id=landsat-c2l2-sr>,\n",
+       " <Collection id=landsat-c2l2-st>,\n",
+       " <Collection id=sentinel-1-grd>,\n",
+       " <Collection id=sentinel-1-rtc>,\n",
+       " <Collection id=sentinel-2-c1-l2a>,\n",
+       " <Collection id=sentinel-2-l1c>,\n",
+       " <Collection id=sentinel-2-l2a>,\n",
+       " <Collection id=venus-l2a>]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "## Utility function for retrieving token located in utils.py\n",
+    "from utils import get_new_token\n",
+    "from pystac_client import Client\n",
+    "\n",
+    "CLIENT_ID = os.getenv(\"EDS_CLIENT_ID\")\n",
+    "CLIENT_SECRET = os.getenv(\"EDS_SECRET\")\n",
+    "AUTH_TOKEN_URL = os.getenv(\"EDS_AUTH_URL\")\n",
+    "API_URL = os.getenv(\"EDS_API_URL\")\n",
+    "\n",
+    "session = requests.Session()\n",
+    "session.auth = (CLIENT_ID, CLIENT_SECRET)\n",
+    "token = get_new_token(session, AUTH_TOKEN_URL)\n",
+    "\n",
+    "catalog = Client.open(\n",
+    "    API_URL,\n",
+    "    headers={\"Authorization\": f\"bearer: {token}\"}\n",
+    ")\n",
+    "\n",
+    "list(catalog.collection_search().collections())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9614515c-f4f0-44e1-97b7-3d4ce86c5491",
+   "metadata": {},
+   "source": [
+    "## Image Queries\n",
+    "\n",
+    "Let's construct a query to retrieve EarthMosaic Sample image collections which correspond to a defined bounding box and start/end dates. \n",
+    "\n",
+    "Here we'll define an input bounding box to search, start date, and end date:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "86702749-3fd1-4b7d-a6e3-740ac8fa42d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bbox = [-52.38175462, -29.85496458, -52.07547469, -29.61356083]\n",
+    "start_date = \"2024-02-01\"\n",
+    "end_date = \"2024-12-01\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da4d49e3-5c88-4c3e-a0e2-cb7eff38f4a3",
+   "metadata": {},
+   "source": [
+    "Querying Venus L2A collection to find items matching our input AOI, date range, and property filter:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "7e9f05ac-81ca-4fa9-be81-6b2af3d17b80",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found unique 2 items\n"
+     ]
+    },
+    {
+     "data": {
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">raster:bands</span><span class=\"pystac-l\">[] 12 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">5</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">6</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">7</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">8</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">9</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">10</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
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+       "                \n",
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+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">11</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "            \n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">processing:software</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">EarthPipeline-Jigsaw</span>\n",
+       "            <span class=\"pystac-v\">\"0.3.10\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">eda:pixel_composite_method</span>\n",
+       "            <span class=\"pystac-v\">\"gpqi\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"2024-11-22T21:32:33.375640Z\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">updated</span>\n",
+       "            <span class=\"pystac-v\">\"2024-11-22T21:32:33.375640Z\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">0.0</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"2024-02-21T13:40:29.936000Z\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">datetime</span>\n",
+       "            <span class=\"pystac-v\">\"2024-02-21T13:40:29.936000Z\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">links</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">rel</span>\n",
+       "            <span class=\"pystac-v\">\"self\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac/collections/ai-ready-mosaics-sample/items/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/geo+json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">rel</span>\n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac/collections/ai-ready-mosaics-sample\"</span>\n",
+       "        </li>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac/collections/ai-ready-mosaics-sample\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">rel</span>\n",
+       "            <span class=\"pystac-v\">\"root\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">title</span>\n",
+       "            <span class=\"pystac-v\">\"Platform API (STAC Compliant)\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
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+       "            \n",
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+       "                \n",
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+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">assets</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
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+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR.TIF\"</span>\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">red</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_RED.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_RED.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=tmNeQnPLzSDLiNIKlAoH9pu4%2BPc%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">blue</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_BLUE.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_BLUE.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_BLUE.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=fyJQClqWYEI2wr4S4w1h3sObZvE%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">green</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_GREEN.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">720867322</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_GREEN.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_GREEN.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=tGpIcszrr5IRAFtNSzEGWTD3Y20%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir08</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">234291434</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=qDJ9BNOgS%2FIfvXQiKPc8e6VJ7sM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir09</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR09.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">25383098</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR09.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR09.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=b%2BAQ0HHtfX959GJRksUHvRIAcOM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir16</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR16.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">219929960</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR16.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR16.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=wECTlEFKXSleyzIHgP2tuQl0sxk%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir22</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">208882710</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=cAaoro8tjxl%2FIYURCyLRg%2FodAq0%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">coastal</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">18184101</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=Cp4N6OiwiECnxgXTlrOKRp1hX6g%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">licence</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/text\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">129057</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_LICENCE.PDF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=GqMw8YnCQZJ2Ld4ReJ1c3t%2FnXUU%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">rededge1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_REDEDGE1.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">196576725</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_REDEDGE1.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_REDEDGE1.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=cIwH%2BkiVHvOA%2B3LYtqe3kEDQLBU%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_REDEDGE2.TIF\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_REDEDGE3.TIF\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_BROWSE.PNG?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=VoxB8nkprewYxqo0enzOg9bZYs0%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">cloud_mask</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_DATAMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">1706663</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_DATAMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_DATAMASK.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=4p3YKHJliyoaQbPs%2B1gudE5sudo%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">work_order</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_WORKORDER.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">1552</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_WORKORDER.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_WORKORDER.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=1ctFsDXJQR1iQq0R7AGaguET%2FYQ%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_map</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">10934849</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=EPt6%2FDmLpRjNzodp%2FmppWKWtrJY%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_metadata</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT2GI623CV&Signature=X3nzi9T%2FpgRqcsu%2BDm%2FKjS8igOY%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCl211TJaojFRMkPI%2FEexqJHYKgefhJRnEkluZ1ZBPsIQIhAKqfB%2BRwdej5Ym0Op1zb%2FS009UXrP0oNgBQqCckRiFs4KvICCGIQARoMMDcyNjY3MTAzNDYzIgxGqr7AXligTBgvgO8qzwL1aQEdH2mI7pV7DUAk2RkoE0xLhPGIDA7Lrc9zJ5urq6g99xuK%2FBGODPJjwPzqhGbTuKM%2Bx9gFMZ8aV5O3rQh1z8NUTsirZ0vXwVa51OPCcFpV%2F2fOUfFcanQFA7ObRbUpQxQmn5nWm5h9vnKLcX8kIZDrya5fujXBbuakCi9Tu3X1aSVdM89yVd3R5XYL4oGUCyB296jb3nyj3MB8Ww6djTeYbAuiptfsas3qpg8i8kI29MeeSTit7upEASm8z4vsLRIIBsw9uDR1EKUukCe8s9rtO3rcqTCeDng9V540vffN0TomboFNOgQeTlmAH35C07tI%2BEUOiq9mXy2vyEJGpiLIqaWPoD14W%2FuozWOhvNVqOQDhK5DQS4db53ucBC9e6f2ihOFpcvmfBqfCxaE9ARuDtlh%2BFiEeoeL%2FYx76UdZMoIIMay8EgZn3TgBKHjDV84u7BjqdAd6sa%2BMObTnPPnE1Ijc7drlZu7M5txYIjrF0UhfttyYbtPmrgdCJb5DDe3B3c%2F9kW6gKq6lYbEkRNNbJqKZdCLdI%2BF4g%2FvTOMRtYWZSaHQ1VzvvfUdizWTRLdyIifxGR%2BPd%2FkUC%2BcXu0monL0WOHX%2BUjs1zsc2S6S%2B43iikInfty204mfNrhbu3MX7cCgFqngqMpGTtNkQMt4Ex8lKU%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">collection</span>\n",
+       "            <span class=\"pystac-v\">\"ai-ready-mosaics-sample\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"Feature\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">stac_version</span>\n",
+       "            <span class=\"pystac-v\">\"1.0.0\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">stac_extensions</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">\"https://stac-extensions.github.io/eo/v1.1.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">2</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-stac-extensions.s3.amazonaws.com/eda/v0.1.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">3</span>\n",
+       "            <span class=\"pystac-v\">\"https://stac-extensions.github.io/raster/v1.1.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">4</span>\n",
+       "            <span class=\"pystac-v\">\"https://stac-extensions.github.io/file/v2.1.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">5</span>\n",
+       "            <span class=\"pystac-v\">\"https://stac-extensions.github.io/storage/v1.0.0/schema.json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">id</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">geometry</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"Polygon\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">coordinates</span><span class=\"pystac-l\">[] 5 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span><span class=\"pystac-l\">[] 5 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
+       "        \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
+       "                <li><details>\n",
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+       "        \n",
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+       "                \n",
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+       "        </li>\n",
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+       "            \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "        \n",
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+       "                \n",
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+       "            <span class=\"pystac-k\">1</span>\n",
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+       "        </li>\n",
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+       "            \n",
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+       "    </ul>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
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+       "                <li><details>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">-53.057600236638834</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-30.129253544169273</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-30.132140630180096</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-30.132140630180096</span>\n",
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+       "            \n",
+       "        \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-30.129253544169273</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        \n",
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+       "            \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span><span class=\"pystac-l\">[] 5 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">-53.09510608610226</span>\n",
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+       "            \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-29.805899910957347</span>\n",
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+       "            \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-29.805899910957347</span>\n",
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+       "            \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">-53.09222102075893</span>\n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-29.808786996968166</span>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-29.808786996968166</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        \n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">-53.09510608610226</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-29.805899910957347</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
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+       "        \n",
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+       "            \n",
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+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">-53.4499691233332</span>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">1</span>\n",
+       "            <span class=\"pystac-v\">-30.2447369846021</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">2</span>\n",
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+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">3</span>\n",
+       "            <span class=\"pystac-v\">-29.0668058921872</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">properties</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">gsd</span>\n",
+       "            <span class=\"pystac-v\">10.0</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"sentinel-2a,sentinel-2b\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">instruments</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
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+       "            \n",
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+       "        \n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">eda:area_km2</span>\n",
+       "            <span class=\"pystac-v\">29393.08</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">raster:bands</span><span class=\"pystac-l\">[] 12 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
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+       "            \n",
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+       "            \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">5</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">6</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">7</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">8</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">9</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">10</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">11</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">processing:software</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">EarthPipeline-Jigsaw</span>\n",
+       "            <span class=\"pystac-v\">\"0.3.10\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">eda:pixel_composite_method</span>\n",
+       "            <span class=\"pystac-v\">\"gpqi\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">eda:derived_from_collection_id</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">updated</span>\n",
+       "            <span class=\"pystac-v\">\"2024-11-22T21:31:55.976716Z\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">datetime</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"2024-05-06T13:40:32.830000Z\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"2024-11-22T21:31:55.976716Z\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"2024-05-14T13:50:37.472000Z\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">links</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">rel</span>\n",
+       "            <span class=\"pystac-v\">\"self\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        </li>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac/collections/ai-ready-mosaics-sample\"</span>\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"https://api.earthdaily.com/platform/v1/stac\"</span>\n",
+       "        </li>\n",
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+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">title</span>\n",
+       "            <span class=\"pystac-v\">\"Platform API (STAC Compliant)\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "            \n",
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+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR.TIF\"</span>\n",
+       "        </li>\n",
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+       "            \n",
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+       "        <li><details>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_RED.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=MaPJgHnper7MHn1TV1H%2BUJ%2BUetM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">blue</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_BLUE.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">689797923</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_BLUE.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_BLUE.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=BM49Yqb9O0aqpAl%2BxK7O5r6gS88%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">green</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_GREEN.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">736594816</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_GREEN.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_GREEN.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=%2BJFs0si4nBdibrduUnm1a9PxdnQ%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir08</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR08.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">237206807</span>\n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR08.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=rSI%2BLQyY5qPZFy09ZjZA%2FZ%2BVG10%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir09</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR09.TIF\"</span>\n",
+       "        </li>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "            \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR09.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_NIR09.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=rjaEgQSps4nDeHoXZzytxlYr51Q%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir16</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SWIR16.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">220502900</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SWIR16.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=UsX8qipoi5rXXvxTSJmAzDE2BjI%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir22</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SWIR22.TIF\"</span>\n",
+       "        </li>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-k\">storage:platform</span>\n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SWIR22.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=QldT8Ax5dYSVM77YdR3MhXk8buM%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">coastal</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">18233549</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_COASTAL.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=ss8xMLM4ygFz3CFiZwpvflAuYrI%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">licence</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/text\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">129057</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_LICENCE.PDF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=%2BkftW5FnUAKwXOasXzLaCB3OcLs%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">rededge1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_REDEDGE1.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">201694557</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_REDEDGE1.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_REDEDGE1.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=V0fI%2FNf5oldBJBROBKenSvWay74%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
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+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "            \n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_REDEDGE2.TIF\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "    \n",
+       "            \n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_REDEDGE3.TIF\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_BROWSE.PNG\"</span>\n",
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+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
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+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_BROWSE.PNG?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=bZjZg7Zzu0yybjeC5DRkeABQEr4%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">cloud_mask</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_DATAMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">1899919</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_DATAMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_DATAMASK.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=cn1%2Fbu32A8PKcYiwBEvFrb%2FVZTU%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">work_order</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_WORKORDER.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">3233</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_WORKORDER.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_WORKORDER.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=ZW4LZU%2FWm7dzjt%2B8XFG6YWCnr50%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_map</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">3762830</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMASK.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=TAlzU2lxb6x20Qa0z%2Bzypz0tFUw%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_metadata</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">18321</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/05/06/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ/EDA_Mosaic_M_L2A_EM_Mosaic_F9QkJ_SOURCEMETADATA.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADTT2MD7OYA&Signature=ywuvfWaWQj2ZxgIOmmhlMivApeE%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEJn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIDQM7hvTL05NDKMP4DcpTO2zyfjI6xw9xQQIoahff5whAiEA49SO5cGc8y23rmC9ECadBdO4WlOBtF%2Bnt5H0uICvtGYq8gIIYhABGgwwNzI2NjcxMDM0NjMiDEGzJzVYe3a9bXfycSrPAslKpVtxHp437f8UWmonLBWeoAL8TmBsrnsf6lygK9iNUhmBmsNUbi%2FDJ2GasBB8Lv71IwV6Ua8AKJyjXLSWDtFWFlsvglvcyoIEOzOik8Iw90tIX0%2B2V7jqwraQ4zdnuGBgiC4nsh4uNbuYcA2v3wNoGjn1ANZUvU48xSRstRBqG%2FcUac9a2rMwuqCEiZSlP7Z96HNyb1nmhoFZWNiqhafQ75xiyvgb0S19uTipEzy4p04OR5EzCoI1wRJHeTZEH72PJlRWA5deuarmR8JWkAti7PMkbe7Ar3vm6AKCuKsBCj6B9dbb7LR5rhCF7eD5QerMMRptJRydDpjiYUteQUXwIH5NhqjTRL1DXVJI%2BYz%2BWBTueKB8EONTDVXWQYsIlxQqizRSWaLVYuZTJ62ZXsLsrkytFu%2FD1NTSy%2BL0E%2BTrw8LabjVuIfL%2FZZbHWKW1MIbyi7sGOp4B8Qo5F7Cz1Fsjw0TjZyecbISJ8pn4ShDYwR8YnqqZeCJN4xZuZKii%2B48%2B%2FsyYWx4c0bQVgGdZIBGbqpecDWNqeUIDNAf2%2BSeKqxUOc%2Be7p6NGbXaxI41OtSWjw6sRxnCis80KxltTYpiBKo5UT8ZC3NpjnXeWAky%2FcUmonANbHXTN1S%2Fx%2BbNTW8mVKtHYf9%2ByyhMHdGRunTtT4dt1ITk%3D&Expires=1734588916\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">collection</span>\n",
+       "            <span class=\"pystac-v\">\"ai-ready-mosaics-sample\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "                \n",
+       "            \n",
+       "        </ul>\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<pystac.item_collection.ItemCollection at 0x752c420bbef0>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "items = eds.search(\n",
+    "    collections=[\"ai-ready-mosaics-sample\"],\n",
+    "    datetime=f\"{start_date}/{end_date}\",\n",
+    "    bbox=bbox\n",
+    ")\n",
+    "print(f'Found unique {len(items)} items' )\n",
+    "items"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9cc125ed-913d-4f26-8907-17e4f684c1b0",
+   "metadata": {},
+   "source": [
+    "#### _Image Queries in PySTAC_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "dc1216ff-311c-47b3-89bb-40e01e120ce2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found unique 2 items\n"
+     ]
+    }
+   ],
+   "source": [
+    "query = catalog.search(\n",
+    "    collections=[\"ai-ready-mosaics-sample\"],\n",
+    "    datetime=f\"{start_date}/{end_date}\",\n",
+    "    bbox=bbox,\n",
+    ")\n",
+    "print(f'Found unique {len(list(query.items()))} items')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6deb2b24-ce2b-414f-b579-b76daa45fe9d",
+   "metadata": {},
+   "source": [
+    "## Data Retrieval\n",
+    "Now that there's a reference to a list of items from the catalog, we can use [`odc.stac.load`](https://odc-stac.readthedocs.io/en/latest/_api/odc.stac.load.html) to retrieve associated bands as an [`xarray Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "255d9abc-9639-4e15-976f-c42d63a56ec5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       " */\n",
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+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
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+       "html[data-theme=dark],\n",
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+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
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+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
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+       "}\n",
+       "\n",
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+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
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+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
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+       "\n",
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+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
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+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 253MB\n",
+       "Dimensions:      (y: 3095, x: 3409, time: 2)\n",
+       "Coordinates:\n",
+       "  * y            (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x            (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "  * time         (time) datetime64[ns] 16B 2024-02-21T13:40:29.936000 2024-05...\n",
+       "    spatial_ref  int64 8B 0\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2047), meta=np.ndarray&gt;\n",
+       "    green        (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2047), meta=np.ndarray&gt;\n",
+       "    blue         (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2047), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b36253e4-fcb0-4856-b151-03b8ed2f6e00' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b36253e4-fcb0-4856-b151-03b8ed2f6e00' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 3095</li><li><span class='xr-has-index'>x</span>: 3409</li><li><span class='xr-has-index'>time</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9e6aa4cf-5efe-481a-9876-6698f44e99b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9e6aa4cf-5efe-481a-9876-6698f44e99b3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.454e+06 ... -3.485e+06</div><input id='attrs-361e691c-8342-4f02-b4a1-77d80198971d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-361e691c-8342-4f02-b4a1-77d80198971d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad0eb451-84c8-4f03-8d2d-a137b498d2e8' class='xr-var-data-in' type='checkbox'><label for='data-ad0eb451-84c8-4f03-8d2d-a137b498d2e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-3453975., -3453985., -3453995., ..., -3484895., -3484905., -3484915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.831e+06 ... -5.797e+06</div><input id='attrs-f867cecb-a0dd-4134-825c-f384d1eb8fb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f867cecb-a0dd-4134-825c-f384d1eb8fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2da1b99-b37a-44af-b492-d9be5b05a99f' class='xr-var-data-in' type='checkbox'><label for='data-b2da1b99-b37a-44af-b492-d9be5b05a99f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-5831105., -5831095., -5831085., ..., -5797045., -5797035., -5797025.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-02-21T13:40:29.936000 2024-...</div><input id='attrs-d06885a8-17d4-4552-ad59-dad450b8ec44' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d06885a8-17d4-4552-ad59-dad450b8ec44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bf037ad-2f92-4b5f-9a5e-edbaebb28db8' class='xr-var-data-in' type='checkbox'><label for='data-2bf037ad-2f92-4b5f-9a5e-edbaebb28db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-02-21T13:40:29.936000000&#x27;, &#x27;2024-05-06T13:40:32.830000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-f2aa4fba-fc66-4146-bcfa-22b3c1a16a55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2aa4fba-fc66-4146-bcfa-22b3c1a16a55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f0809fc-ae5d-4c99-8d4b-e31fb52eba70' class='xr-var-data-in' type='checkbox'><label for='data-5f0809fc-ae5d-4c99-8d4b-e31fb52eba70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / Pseudo-Mercator&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Mercator_1SP&quot;],PARAMETER[&quot;central_meridian&quot;,0],PARAMETER[&quot;scale_factor&quot;,1],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],EXTENSION[&quot;PROJ4&quot;,&quot;+proj=merc +a=6378137 +b=6378137 +lat_ts=0 +lon_0=0 +x_0=0 +y_0=0 +k=1 +units=m +nadgrids=@null +wktext +no_defs&quot;],AUTHORITY[&quot;EPSG&quot;,&quot;3857&quot;]]</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / Pseudo-Mercator&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Mercator_1SP&quot;],PARAMETER[&quot;central_meridian&quot;,0],PARAMETER[&quot;scale_factor&quot;,1],PARAMETER[&quot;false_easting&quot;,0],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],EXTENSION[&quot;PROJ4&quot;,&quot;+proj=merc +a=6378137 +b=6378137 +lat_ts=0 +lon_0=0 +x_0=0 +y_0=0 +k=1 +units=m +nadgrids=@null +wktext +no_defs&quot;],AUTHORITY[&quot;EPSG&quot;,&quot;3857&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-5831110.0 10.0 0.0 -3453970.0 0.0 -10.0</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86f44a9c-328a-49a9-bdda-f66076c1db09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86f44a9c-328a-49a9-bdda-f66076c1db09' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2047), meta=np.ndarray&gt;</div><input id='attrs-d54c164d-0cef-4c15-a752-e6df8b23762c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d54c164d-0cef-4c15-a752-e6df8b23762c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c39de8f-9ba2-4998-93be-32809fbc233e' class='xr-var-data-in' type='checkbox'><label for='data-6c39de8f-9ba2-4998-93be-32809fbc233e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 80.50 MiB </td>\n",
+       "                        <td> 15.99 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 3095, 3409) </td>\n",
+       "                        <td> (1, 2048, 2047) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 8 chunks in 10 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"173\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"10\" y1=\"72\" x2=\"24\" y2=\"87\" />\n",
+       "  <line x1=\"10\" y1=\"108\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"108\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"116\" />\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,123.89550320056108 10.0,108.94690525080668\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"82\" y1=\"0\" x2=\"97\" y2=\"14\" />\n",
+       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "\n",
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+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-92258e4e-79b3-44cc-be09-733ffdc13e51' class='xr-section-summary-in' type='checkbox'  ><label for='section-92258e4e-79b3-44cc-be09-733ffdc13e51' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-38c526b9-f2a3-42a2-89ca-7701d3ef4d5f' class='xr-index-data-in' type='checkbox'/><label for='index-38c526b9-f2a3-42a2-89ca-7701d3ef4d5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3453975.0, -3453985.0, -3453995.0, -3454005.0, -3454015.0, -3454025.0,\n",
+       "       -3454035.0, -3454045.0, -3454055.0, -3454065.0,\n",
+       "       ...\n",
+       "       -3484825.0, -3484835.0, -3484845.0, -3484855.0, -3484865.0, -3484875.0,\n",
+       "       -3484885.0, -3484895.0, -3484905.0, -3484915.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=3095))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc99dd65-e916-4d43-a657-a731ea72fee3' class='xr-index-data-in' type='checkbox'/><label for='index-fc99dd65-e916-4d43-a657-a731ea72fee3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5831105.0, -5831095.0, -5831085.0, -5831075.0, -5831065.0, -5831055.0,\n",
+       "       -5831045.0, -5831035.0, -5831025.0, -5831015.0,\n",
+       "       ...\n",
+       "       -5797115.0, -5797105.0, -5797095.0, -5797085.0, -5797075.0, -5797065.0,\n",
+       "       -5797055.0, -5797045.0, -5797035.0, -5797025.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3409))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4a975766-731a-4128-bb55-68f3614db161' class='xr-index-data-in' type='checkbox'/><label for='index-4a975766-731a-4128-bb55-68f3614db161' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2024-02-21 13:40:29.936000&#x27;, &#x27;2024-05-06 13:40:32.830000&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3446df52-7ff8-4c53-912a-feb26b5b1279' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3446df52-7ff8-4c53-912a-feb26b5b1279' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 253MB\n",
+       "Dimensions:      (y: 3095, x: 3409, time: 2)\n",
+       "Coordinates:\n",
+       "  * y            (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x            (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "  * time         (time) datetime64[ns] 16B 2024-02-21T13:40:29.936000 2024-05...\n",
+       "    spatial_ref  int64 8B 0\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2047), meta=np.ndarray>\n",
+       "    green        (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2047), meta=np.ndarray>\n",
+       "    blue         (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2047), meta=np.ndarray>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = earthdaily.earthdatastore.datacube(\n",
+    "    items,\n",
+    "    assets=(\"red\", \"green\", \"blue\"),\n",
+    "    intersects=gpd.GeoDataFrame(\n",
+    "        {'geometry':[box(*bbox)]}, \n",
+    "        crs='epsg:4326'\n",
+    "    ),\n",
+    "    crs=\"epsg:3857\", \n",
+    "    resolution=10.,\n",
+    "    bbox=bbox,\n",
+    "    chunks={\"x\": 2048, \"y\": 2048},\n",
+    ")\n",
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9159cbef-bee5-4b3d-8f59-52ac12b1279c",
+   "metadata": {},
+   "source": [
+    "#### _Data Retrieval with PySTAC using ODC_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7b9b8441-b6c3-4b5a-beaf-7f5167ac5204",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "html[data-theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 254MB\n",
+       "Dimensions:      (y: 3096, x: 3411, time: 2)\n",
+       "Coordinates:\n",
+       "  * y            (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x            (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "    spatial_ref  int32 4B 3857\n",
+       "  * time         (time) datetime64[ns] 16B 2024-02-21T13:40:29.936000 2024-05...\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "    green        (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
+       "    blue         (time, y, x) float32 84MB dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-210009a0-b1d9-4773-9d46-ceaddc39a0ed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-210009a0-b1d9-4773-9d46-ceaddc39a0ed' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 3096</li><li><span class='xr-has-index'>x</span>: 3411</li><li><span class='xr-has-index'>time</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-99337d56-1102-4342-bf2d-270409c06a6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99337d56-1102-4342-bf2d-270409c06a6f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.454e+06 ... -3.485e+06</div><input id='attrs-cbb67e81-fd71-4566-80a8-2e91b9fac895' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbb67e81-fd71-4566-80a8-2e91b9fac895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90847a8e-a5d1-4559-8446-eceb53727942' class='xr-var-data-in' type='checkbox'><label for='data-90847a8e-a5d1-4559-8446-eceb53727942' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd></dl></div><div class='xr-var-data'><pre>array([-3453975., -3453985., -3453995., ..., -3484905., -3484915., -3484925.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.831e+06 ... -5.797e+06</div><input id='attrs-44621bf6-51eb-4360-8acc-dd5c72660b7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44621bf6-51eb-4360-8acc-dd5c72660b7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3995db63-36f2-42d8-afe0-58e2d4749394' class='xr-var-data-in' type='checkbox'><label for='data-3995db63-36f2-42d8-afe0-58e2d4749394' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd></dl></div><div class='xr-var-data'><pre>array([-5831115., -5831105., -5831095., ..., -5797035., -5797025., -5797015.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3857</div><input id='attrs-aa67bed6-4028-4884-803e-0de93c16949e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa67bed6-4028-4884-803e-0de93c16949e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b9cfb03-407a-4272-8ce7-be79690009c8' class='xr-var-data-in' type='checkbox'><label for='data-5b9cfb03-407a-4272-8ce7-be79690009c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCRS[&quot;WGS 84 / Pseudo-Mercator&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;Popular Visualisation Pseudo-Mercator&quot;,METHOD[&quot;Popular Visualisation Pseudo Mercator&quot;,ID[&quot;EPSG&quot;,1024]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Web mapping and visualisation.&quot;],AREA[&quot;World between 85.06°S and 85.06°N.&quot;],BBOX[-85.06,-180,85.06,180]],ID[&quot;EPSG&quot;,3857]]</dd><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / Pseudo-Mercator&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;Popular Visualisation Pseudo-Mercator&quot;,METHOD[&quot;Popular Visualisation Pseudo Mercator&quot;,ID[&quot;EPSG&quot;,1024]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Web mapping and visualisation.&quot;],AREA[&quot;World between 85.06°S and 85.06°N.&quot;],BBOX[-85.06,-180,85.06,180]],ID[&quot;EPSG&quot;,3857]]</dd><dt><span>GeoTransform :</span></dt><dd>-5831120 10 0 -3453970 0 -10</dd></dl></div><div class='xr-var-data'><pre>array(3857, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-02-21T13:40:29.936000 2024-...</div><input id='attrs-391976fc-e755-454c-95c0-7be32b76da56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-391976fc-e755-454c-95c0-7be32b76da56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a4e71a8-6304-435e-89fb-ef48dae1703a' class='xr-var-data-in' type='checkbox'><label for='data-4a4e71a8-6304-435e-89fb-ef48dae1703a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-02-21T13:40:29.936000000&#x27;, &#x27;2024-05-06T13:40:32.830000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a2e00fc-525b-411a-bed1-96a7bd4621cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a2e00fc-525b-411a-bed1-96a7bd4621cb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-295d3a1e-543d-4f29-b61e-ae065de52dcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295d3a1e-543d-4f29-b61e-ae065de52dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e11e47f7-d9ba-41b2-9176-01a2d4b88e9c' class='xr-var-data-in' type='checkbox'><label for='data-e11e47f7-d9ba-41b2-9176-01a2d4b88e9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 80.57 MiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 3096, 3411) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 8 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"173\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"10\" y1=\"72\" x2=\"24\" y2=\"86\" />\n",
+       "  <line x1=\"10\" y1=\"108\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"108\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"17\" y1=\"7\" x2=\"17\" y2=\"116\" />\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
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+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "\n",
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+       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,123.86680375450375 24.9485979497544,123.86680375450375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"84.948598\" y=\"143.866804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3411</text>\n",
+       "  <text x=\"164.948598\" y=\"69.407701\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,69.407701)\">3096</text>\n",
+       "  <text x=\"7.474299\" y=\"136.392505\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,136.392505)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-84cec8ef-1be2-4dbe-a56c-1912baedfd2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84cec8ef-1be2-4dbe-a56c-1912baedfd2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f26bf67-3468-4a43-9e1f-1fecb71b64fc' class='xr-var-data-in' type='checkbox'><label for='data-1f26bf67-3468-4a43-9e1f-1fecb71b64fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 80.57 MiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 3096, 3411) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 8 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"173\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "  <!-- Horizontal lines -->\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
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+       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,123.86680375450375 24.9485979497544,123.86680375450375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"84.948598\" y=\"143.866804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3411</text>\n",
+       "  <text x=\"164.948598\" y=\"69.407701\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,69.407701)\">3096</text>\n",
+       "  <text x=\"7.474299\" y=\"136.392505\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,136.392505)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</div><input id='attrs-1b1e0784-81a6-468d-985c-2efc7bebd1fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b1e0784-81a6-468d-985c-2efc7bebd1fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5d12b83-2555-470c-8e44-4d2b0db6acc8' class='xr-var-data-in' type='checkbox'><label for='data-f5d12b83-2555-470c-8e44-4d2b0db6acc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 80.57 MiB </td>\n",
+       "                        <td> 16.00 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (2, 3096, 3411) </td>\n",
+       "                        <td> (1, 2048, 2048) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 8 chunks in 1 graph layer </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"194\" height=\"173\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"82\" y1=\"0\" x2=\"96\" y2=\"14\" />\n",
+       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"24\" y1=\"86\" x2=\"144\" y2=\"86\" />\n",
+       "  <line x1=\"24\" y1=\"123\" x2=\"144\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"96\" y1=\"14\" x2=\"96\" y2=\"123\" />\n",
+       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"123\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,123.86680375450375 24.9485979497544,123.86680375450375\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"84.948598\" y=\"143.866804\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3411</text>\n",
+       "  <text x=\"164.948598\" y=\"69.407701\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,69.407701)\">3096</text>\n",
+       "  <text x=\"7.474299\" y=\"136.392505\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,136.392505)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-955d0eb0-c594-49fe-b00c-192c45c75dd2' class='xr-section-summary-in' type='checkbox'  ><label for='section-955d0eb0-c594-49fe-b00c-192c45c75dd2' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d823aa4e-eb7d-45ee-9c02-fcccc5e1ea25' class='xr-index-data-in' type='checkbox'/><label for='index-d823aa4e-eb7d-45ee-9c02-fcccc5e1ea25' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3453975.0, -3453985.0, -3453995.0, -3454005.0, -3454015.0, -3454025.0,\n",
+       "       -3454035.0, -3454045.0, -3454055.0, -3454065.0,\n",
+       "       ...\n",
+       "       -3484835.0, -3484845.0, -3484855.0, -3484865.0, -3484875.0, -3484885.0,\n",
+       "       -3484895.0, -3484905.0, -3484915.0, -3484925.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=3096))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-013a33ca-c873-4f7f-9d44-33e1f2c1571b' class='xr-index-data-in' type='checkbox'/><label for='index-013a33ca-c873-4f7f-9d44-33e1f2c1571b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5831115.0, -5831105.0, -5831095.0, -5831085.0, -5831075.0, -5831065.0,\n",
+       "       -5831055.0, -5831045.0, -5831035.0, -5831025.0,\n",
+       "       ...\n",
+       "       -5797105.0, -5797095.0, -5797085.0, -5797075.0, -5797065.0, -5797055.0,\n",
+       "       -5797045.0, -5797035.0, -5797025.0, -5797015.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3411))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c296ce0e-4248-4d0b-9087-ebcad52434af' class='xr-index-data-in' type='checkbox'/><label for='index-c296ce0e-4248-4d0b-9087-ebcad52434af' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2024-02-21 13:40:29.936000&#x27;, &#x27;2024-05-06 13:40:32.830000&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-558f2ee2-a1e6-4460-96c2-5976feedfd07' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-558f2ee2-a1e6-4460-96c2-5976feedfd07' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 254MB\n",
+       "Dimensions:      (y: 3096, x: 3411, time: 2)\n",
+       "Coordinates:\n",
+       "  * y            (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x            (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "    spatial_ref  int32 4B 3857\n",
+       "  * time         (time) datetime64[ns] 16B 2024-02-21T13:40:29.936000 2024-05...\n",
+       "Data variables:\n",
+       "    red          (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "    green        (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
+       "    blue         (time, y, x) float32 84MB dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stac_load(\n",
+    "    items,\n",
+    "    bands=(\"red\", \"green\", \"blue\"),\n",
+    "    crs=\"epsg:3857\", \n",
+    "    resolution=10., \n",
+    "    chunks={\"x\": 2048, \"y\": 2048},\n",
+    "    groupby=\"id\",\n",
+    "    bbox=bbox\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66164356-897d-4845-a9e7-dd1d8d326a2c",
+   "metadata": {},
+   "source": [
+    "Lastly, we'll inspect an image within our stack:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "e4294940-ff6d-4b27-8af6-d7b084381078",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ubuntu/miniconda3/envs/earthdaily/lib/python3.12/site-packages/rasterio/warp.py:344: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned.\n",
+      "  _reproject(\n"
+     ]
+    }
+   ],
+   "source": [
+    "rgb_ds = dataset.isel(time=0)\n",
+    "rgb_arr = np.stack(\n",
+    "    [rgb_ds['red'], rgb_ds['green'], rgb_ds['blue']],\n",
+    "    axis=-1\n",
+    ")\n",
+    "fig, ax = plt.subplots(figsize=(10,5))\n",
+    "# Digital Number (DN) values typically range from 0-10000\n",
+    "ax.imshow(((rgb_arr/10000)*255).astype('uint8'))\n",
+    "ax.set_yticklabels([])\n",
+    "ax.set_xticklabels([])\n",
+    "plt.title(\"True Color Composite RGB\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "975b1e40-bf35-4f8b-ae13-ad8d0f779d18",
+   "metadata": {},
+   "source": [
+    "#### Saving Data Locally"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "3841b864-9b6a-4201-b8e7-d9268e3d17a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rgb_ds.rio.to_raster(\"output.tif\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bd3375b-35b6-4185-b96c-bbfb81a33eb8",
+   "metadata": {},
+   "source": [
+    "#### _Cleaning Up_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "9c2379e0-0b02-4a52-894a-5ac1734ecef0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "os.remove(\"output.tif\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46239c85-44bc-4cec-bcaf-1737a7569e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Getting Started with EarthDaily/template.env b/Getting Started with EarthDaily/template.env
new file mode 100644
index 0000000..e62bbf4
--- /dev/null
+++ b/Getting Started with EarthDaily/template.env	
@@ -0,0 +1,4 @@
+EDS_AUTH_URL="<EDS AUTH URL>"
+EDS_API_URL="https://api.earthdaily.com/platform/v1/stac"
+EDS_SECRET="<EDS SECRET>"
+EDS_CLIENT_ID="<EDS CLIENT ID>"
diff --git a/Getting Started with EarthDaily/utils.py b/Getting Started with EarthDaily/utils.py
new file mode 100644
index 0000000..cc12261
--- /dev/null
+++ b/Getting Started with EarthDaily/utils.py	
@@ -0,0 +1,15 @@
+import requests
+
+def get_new_token(session, token_url):
+    """Obtain a new authentication token using client credentials."""
+    try:
+        token_response = session.post(
+            token_url,
+            data={"grant_type": "client_credentials"}
+        )
+        token_response.raise_for_status()
+        tokens = token_response.json()
+        return tokens["access_token"]
+    except requests.exceptions.RequestException as e:
+        print(f"Failed to obtain token: {e}")
+        return
\ No newline at end of file
diff --git a/Introduction to EDA EarthMosaics/Introduction to EDA EarthMosaics.ipynb b/Introduction to EDA EarthMosaics/Introduction to EDA EarthMosaics.ipynb
new file mode 100644
index 0000000..6f8197b
--- /dev/null
+++ b/Introduction to EDA EarthMosaics/Introduction to EDA EarthMosaics.ipynb	
@@ -0,0 +1,4741 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5f12b8f5-2c08-4920-a1a3-68680d9504b1",
+   "metadata": {},
+   "source": [
+    "<img src=\"https://raw.githubusercontent.com/earthdaily/Images/main/Corporate/EarthDaily.png\" width=\"20%\" alt=\"EarthDaily Analytics\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "223d3d41-d897-4f80-b3f4-a9b1bc58afae",
+   "metadata": {},
+   "source": [
+    "# Introduction to EarthDaily Analytics EarthMosaics\n",
+    "__________________\n",
+    "<a href=\"https://earthdaily.com/contact/\">Give Feedback</a> | <a href=\"https://github.com/earthdaily\">Bug report</a>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cae4297c-55ae-4af3-beec-5805574c2319",
+   "metadata": {},
+   "source": [
+    "**Tags:** #EDS, #EarthMosaics, #Sentinel-2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69670216-ef3d-4845-93d5-56fad356cc7e",
+   "metadata": {},
+   "source": [
+    "**Authors**: EarthDaily Analytics"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f85e709-bcfb-406c-8332-4eb7488a9133",
+   "metadata": {},
+   "source": [
+    "**Last update:** 2024-12-11 (Created: 2024-12-02)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59cf86f0-79f9-4162-bf9f-fbeebf1b42bb",
+   "metadata": {},
+   "source": [
+    "**References:**\n",
+    "- [EarthDaily package](https://github.com/earthdaily/earthdaily-python-client)\n",
+    "- [Earth Data Store documentation](https://earthdaily.github.io/EDA-Documentation/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b59fbe6-3592-4ff6-80b0-682f7d104612",
+   "metadata": {},
+   "source": [
+    "## Introduction\n",
+    "EarthDaily Analytics' EarthMosaics is the world's first fully automated service to create analysis-ready large area mosaics, combining both the Landsat and Sentinel-2 missions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9378cb2f-7221-4527-9c52-3521aa0c9561",
+   "metadata": {},
+   "source": [
+    "## Objectives\n",
+    "This document explores the basics of the EarthMosaic dataset, including:\n",
+    "* Key spatial and non-spatial properties\n",
+    "* How to retrieve mosaic pixel data using STAC\n",
+    "* Advanced diagnostics of mosaic metadata"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5b21566-a961-4a90-a28b-dbc88147ba24",
+   "metadata": {},
+   "source": [
+    "First, import dependencies:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "eb542c8c-85a1-4b8b-bf2c-c2b8b6c52610",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from earthdaily import EarthDataStore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e72734f5-464d-419d-807a-5835d2090985",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests\n",
+    "import rioxarray\n",
+    "\n",
+    "import geopandas as gpd\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import xarray as xr\n",
+    "\n",
+    "from datetime import datetime\n",
+    "from dotenv import load_dotenv\n",
+    "\n",
+    "from odc.stac import stac_load\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.colors import ListedColormap\n",
+    "from matplotlib.patches import Patch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "898b21b3-b8a8-4806-898c-24064348983e",
+   "metadata": {},
+   "source": [
+    "Next we load in environment variables, please update the associated [`template.env`](template.env) with credentials gathered from the [EarthDaily Account Management page](https://console.earthdaily.com/account)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "037fadb5-4c58-4d1e-b1bb-049241c88c79",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "load_dotenv(\"template.env\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8683034a-603c-4d5d-b56d-e61d80c00856",
+   "metadata": {},
+   "source": [
+    "> _**Note:**_ To gain access to the Earth Data Store data used in this example, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef5360d2-8621-48ba-b16d-81db7eed1dd4",
+   "metadata": {},
+   "source": [
+    "Connect to the Earth Data Store:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "26e03e2c-f95f-4b3b-a4de-4d0112c1c295",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "eds = EarthDataStore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e952ad6-f1fe-493b-9862-9eb103f85dbd",
+   "metadata": {},
+   "source": [
+    "## EarthMosaic STAC Items\n",
+    "\n",
+    "First, we will explore the properties shared by each EarthMosaic dataset."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14eb3887-febb-4b61-956c-b23e8e3b8369",
+   "metadata": {},
+   "source": [
+    "Each image has a unique ID, which you can view on the [EarthPlatform](https://console.earthdaily.com/platform). We will start by inputting a sample mosaic over Rio Grande do Sul, Brazil:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3ca5a312-a768-4238-aa32-0ed769ebff69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "item_id = \"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d8163ded-d06b-4b31-bc87-3b425af2edcc",
+   "metadata": {},
+   "source": [
+    "#### Setting Global Variables\n",
+    "* While this notebook looks at the Sample Collection, all full-resolution EarthMosaics will be in the `ai-ready-mosaics` Collection\n",
+    "* We will look at a subset of bands in the visible spectrum (`red`, `green`, `blue`) and the `data_source_map` band\n",
+    "* Output raster resolution and corresponding coordinate reference system"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "360bd31a-a1b4-44e5-89c1-5d7623318145",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "COLLECTION = \"ai-ready-mosaics-sample\"\n",
+    "BANDS = ['red', 'green', 'blue', 'data_source_map']\n",
+    "CRS = \"epsg:3857\"\n",
+    "RESOLUTION = 10."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed3ca716-84dd-4574-9d0b-a001084f23c3",
+   "metadata": {},
+   "source": [
+    "Next, retrieve a STAC Item corresponding to the Mosaic through an EarthDataStore Search. Note the Item is simply a GeoJSON Feature:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e906b636-e51a-4118-b1d5-57fec44b9d18",
+   "metadata": {},
+   "outputs": [
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+       "            <span class=\"pystac-v\">10.0</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">platform</span>\n",
+       "            <span class=\"pystac-v\">\"sentinel-2a,sentinel-2b\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">instruments</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">0</span>\n",
+       "            <span class=\"pystac-v\">\"msi\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "    </details></li>\n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">eda:area_km2</span>\n",
+       "            <span class=\"pystac-v\">29393.44</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">raster:bands</span><span class=\"pystac-l\">[] 12 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">5</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">6</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">7</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">8</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">9</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">unit</span>\n",
+       "            <span class=\"pystac-v\">\"reflectance\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">scale</span>\n",
+       "            <span class=\"pystac-v\">0.0001</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">nodata</span>\n",
+       "            <span class=\"pystac-v\">0</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">offset</span>\n",
+       "            <span class=\"pystac-v\">-0.1</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">-0.1</span>\n",
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+       "    \n",
+       "            \n",
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+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            <span class=\"pystac-v\">0.0001</span>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"0.3.10\"</span>\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            \n",
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+       "                \n",
+       "            \n",
+       "                \n",
+       "                    <li><details>\n",
+       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">links</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
+       "        \n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-k\">href</span>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "            \n",
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+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_GREEN.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=GerMTNccsPUmRxtOZXEUVZpkeDA%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir08</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">234291434</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR08.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=Y5z7yGGwzo4TM6AdkvTLMJYmvoE%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">nir09</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR09.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">25383098</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_NIR09.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=kBTYvOxWe0K%2FQjtlAbGBtzdYGWs%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
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+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
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+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir16</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR16.TIF\"</span>\n",
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+       "            \n",
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+       "            \n",
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+       "        </li>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR16.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=3pUifW19ZxhC%2Be7To6ZQap84qo4%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">swir22</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">208882710</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SWIR22.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=weINbEhx%2FVRDXmiLLFBZd0Nw7C4%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">coastal</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">18184101</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
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+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li><details>\n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_COASTAL.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=o%2B6L%2B4JIhNtSZV1ZlZjt8lgK3mA%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
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+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">licence</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
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+       "            <span class=\"pystac-v\">\"application/text\"</span>\n",
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+       "            \n",
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+       "    \n",
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+       "        </li>\n",
+       "    \n",
+       "            \n",
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+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_LICENCE.PDF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_BROWSE.PNG\"</span>\n",
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+       "            \n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "            \n",
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+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
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+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_WORKORDER.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=ZUE9Wpi%2BQVxXSlNUQqlXHwUbFlU%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_map</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">10934849</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Intelligent-Tiering\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMASK.TIF?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=dnx6za969FyK3rK%2Ffp%2BTZZ92hnk%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">data_source_metadata</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"s3://earthdaily-eds-edc-skyfox-generic/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">type</span>\n",
+       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:size</span>\n",
+       "            <span class=\"pystac-v\">106006</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:tier</span>\n",
+       "            <span class=\"pystac-v\">\"Standard\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:region</span>\n",
+       "            <span class=\"pystac-v\">\"us-east-1\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">file:local_path</span>\n",
+       "            <span class=\"pystac-v\">\"EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">storage:platform</span>\n",
+       "            <span class=\"pystac-v\">\"AWS\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">alternate</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li><details>\n",
+       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">download</span></summary>\n",
+       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
+       "        \n",
+       "            \n",
+       "                \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">href</span>\n",
+       "            <span class=\"pystac-v\">\"https://earthdaily-eds-edc-skyfox-generic.s3.amazonaws.com/_PUBLIC/ai-ready-mosaics-sample/2024/02/21/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2/EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2_SOURCEMETADATA.JSON?X-User-Account-Id=RwNphFqASqmDfbVgL5TwZi&X-User-Id=edf0240fb5174f8d9003f55f4b6bc735&X-Collection-Id=ai-ready-mosaics-sample&AWSAccessKeyId=ASIARB22MADT3H5A335C&Signature=MJEpj67WW%2BLTzfvjAhQw7ssULG0%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEA0aCXVzLWVhc3QtMSJHMEUCIQDcwXgpol7Toed%2FJ5l8m%2BX%2B7Pu2ajOk2EvrOdiQsT%2FgEgIgWMKI66t%2BOE4eqESRTY%2B9jGCNk2oCwZXj1yCGlV9323oq%2BwIIxv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARABGgwwNzI2NjcxMDM0NjMiDI8fk4oEW4VitT8mDirPAvSLMJas0KYdILXLDMYUF%2FYgSlIE%2BkpUWDE82QQ6GoQK%2FRDLKCsl5cAQgbJd8LMUnKaSUhe9g98ZxxVQxMgZYxDKibKVzgi%2F7OVB6F5PerXMOVAJnm8xZ%2BH3vYJFh32ztiUEXW2N2MDb0k7yRvbMf6ktyD%2FByoVGMThZ%2FEc1Ottjv3mnoEveal%2B22SDOc6b%2FwN%2F0WOQjMkUzE4%2FAj14GRg3unBZnrZehPzjd02oUU0i9PjK6XisLXZZeR%2F0mRnTFYW657NxnnrjPdZpr61MqsGqsoc5klCvmd6L5wqoOnfrJaC12N0EdMBoPX%2BNgCv7BSxmLgbEaG1Fb8n7L7LFr%2B7dodNiieYn%2B7fXNPvKE6c5zP2hptwcQG4Q53sSYNgKvl3oTCbauclXIoVhfk64uwCUhK4q1RuyDi%2BHQl8DPIHMWHY5vRp7nOHVT84lhC2dkMNqd7boGOp4B3hEExEumOlVqJtUSbOF3gRXMEmmTS%2BqwOeKTCZnVXC1xWPUzL04i0%2B%2FwPpbSbsvurMtWxhm43fsA1%2BvlGrplMak0rJ000aVI7OlptJ3RnDVelTfu0VyE9MblcsQfM8KrOoqGPjUgJKGQF%2FoUKXsm5J68S8rVArtO1rWzT9GxqVsNedgjJOJ%2Baxg83rmiPdP%2F4mYa6cMKy80TjF414gA%3D&Expires=1734082689\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "            \n",
+       "        \n",
+       "    </ul>\n",
+       "        </details></li>\n",
+       "    \n",
+       "                \n",
+       "            \n",
+       "                \n",
+       "                    \n",
+       "        <li class=\"pystac-row\">\n",
+       "            <span class=\"pystac-k\">collection</span>\n",
+       "            <span class=\"pystac-v\">\"ai-ready-mosaics-sample\"</span>\n",
+       "        </li>\n",
+       "    \n",
+       "                \n",
+       "            \n",
+       "        </ul>\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Item id=EDA_Mosaic_M_L2A_EM_Mosaic_8YNF2>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "items = eds.search(\n",
+    "    collections=COLLECTION,\n",
+    "    ids=[item_id],\n",
+    ")\n",
+    "item = items[0]\n",
+    "item"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7623e31-fc6f-4387-b223-0731ff1223c6",
+   "metadata": {},
+   "source": [
+    "A list of available assets, or bands, for each mosaic is included in the Item's `assets`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3a743e64-0ccb-40de-9ff9-091e99069025",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "nir\n",
+      "red\n",
+      "blue\n",
+      "green\n",
+      "nir08\n",
+      "nir09\n",
+      "swir16\n",
+      "swir22\n",
+      "coastal\n",
+      "licence\n",
+      "rededge1\n",
+      "rededge2\n",
+      "rededge3\n",
+      "thumbnail\n",
+      "cloud_mask\n",
+      "work_order\n",
+      "data_source_map\n",
+      "data_source_metadata\n"
+     ]
+    }
+   ],
+   "source": [
+    "for asset in item.assets:\n",
+    "    print(asset)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b10645dc-9cdf-4377-aa2b-31d17f3d8d94",
+   "metadata": {},
+   "source": [
+    "#### *Note on Landsat 8/9 versus Sentinel-2 Mosaics*\n",
+    "EarthMosaics can be generated from imagery captured by [Landsat 8/9](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-8-9-operational-land-imager-and), [Sentinel-2](https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-2), or a haromization of both. While both platforms are spectrally similar, there are specific bands only present in Sentinel-2 not available in Landsat, such as the **nir09** and **red-edge** bands:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3441c9d2-39f6-42b7-bf31-10127a52fb7c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "red\n",
+      "blue\n",
+      "green\n",
+      "nir08\n",
+      "swir16\n",
+      "swir22\n",
+      "coastal\n",
+      "licence\n",
+      "thumbnail\n",
+      "cloud_mask\n",
+      "work_order\n",
+      "data_source_map\n",
+      "data_source_metadata\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Landsat Image assets\n",
+    "ls_items = eds.search(\n",
+    "    collections=\"ai-ready-mosaics-sample\",\n",
+    "    ids=[\"EDA_Mosaic_M_L2A_EM_Mosaic_ZeiuG\"],\n",
+    ")\n",
+    "ls_item = ls_items[0]\n",
+    "for asset in ls_item.assets:\n",
+    "    print(asset)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cfdfaad-aec1-4ffa-9f6b-53d32dd0f24b",
+   "metadata": {
+    "scrolled": true
+   },
+   "source": [
+    "Each Item also has a representative `geometry`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "44c61827-89b6-4198-abc9-2a7697e9c7ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'type': 'Polygon',\n",
+       " 'coordinates': [[[-53.44996912333322, -29.066805892187226],\n",
+       "   [-53.44996912333322, -30.244736984602106],\n",
+       "   [-51.124606456600304, -30.244736984602106],\n",
+       "   [-51.124606456600304, -29.066805892187226],\n",
+       "   [-53.44996912333322, -29.066805892187226]]]}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "item.geometry"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53531400-d880-4c57-a25d-1e35edf251a6",
+   "metadata": {},
+   "source": [
+    "and `bounding box`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9d51a081-b5b9-4cf5-954d-408c8aef20f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[-53.4499691233332, -30.2447369846021, -51.1246064566003, -29.0668058921872]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "item.bbox"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "831c7822-a82f-488c-9d51-3ba880d360cf",
+   "metadata": {},
+   "source": [
+    "Several convenient properties are also available, including:\n",
+    "* **Resolution** (`gsd`, _float_)\n",
+    "* **Source Image Platforms** (`platform`, _list_)\n",
+    "* **Start Date** (`start_datetime`, _string_)\n",
+    "* **End Date** (`end_datetime`, _string_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "3078290a-934a-41d2-9f8e-2ad34a3ed071",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Resolution: 10.0\n",
+      "Source Image Platforms: sentinel-2a,sentinel-2b\n",
+      "Mosaic Start Date: 2024-02-21T13:40:29.936000Z\n",
+      "Mosaic End Date: 2024-04-21T13:40:56.638000Z\n"
+     ]
+    }
+   ],
+   "source": [
+    "props = item.properties\n",
+    "print(f\"Resolution: {props['gsd']}\")\n",
+    "print(f\"Source Image Platforms: {props['platform']}\")\n",
+    "print(f\"Mosaic Start Date: {props['start_datetime']}\")\n",
+    "print(f\"Mosaic End Date: {props['end_datetime']}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b584c987-e1e6-4046-857c-6dd83f87b326",
+   "metadata": {},
+   "source": [
+    "## Loading Mosaics as Raster Data\n",
+    "Next up we explore the basics of retrieving a mosaic's raster data, typically through `stac_load`. This returns an `xarray Dataset` object:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "98312c4d-957d-4164-83f9-c63cc573c9ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
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+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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+       "  margin-bottom: 4px;\n",
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+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
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+       "  margin-bottom: 0;\n",
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+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
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+       ".xr-section-summary-in:checked + label:before {\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
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+       "\n",
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+       "  display: contents;\n",
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+       "\n",
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+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
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+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
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+       "  background-color: var(--xr-background-color-row-even);\n",
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+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
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+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
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+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
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+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 169MB\n",
+       "Dimensions:          (y: 3096, x: 3411, time: 1)\n",
+       "Coordinates:\n",
+       "  * y                (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x                (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "    spatial_ref      int32 4B 3857\n",
+       "  * time             (time) datetime64[ns] 8B 2024-02-21T13:40:29.936000\n",
+       "Data variables:\n",
+       "    red              (time, y, x) float32 42MB 1.216e+03 1.201e+03 ... 1.104e+03\n",
+       "    green            (time, y, x) float32 42MB 1.388e+03 1.365e+03 ... 1.161e+03\n",
+       "    blue             (time, y, x) float32 42MB 1.13e+03 1.118e+03 ... 1.059e+03\n",
+       "    data_source_map  (time, y, x) float32 42MB 11.0 11.0 11.0 ... 36.0 36.0 36.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-87a5202e-34fe-4020-acd3-adaa624035de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-87a5202e-34fe-4020-acd3-adaa624035de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 3096</li><li><span class='xr-has-index'>x</span>: 3411</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7e1f2622-1aef-411d-aaca-86310a5d19fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e1f2622-1aef-411d-aaca-86310a5d19fe' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.454e+06 ... -3.485e+06</div><input id='attrs-6c1e7ba0-a6e2-46c5-a054-4aa32f53fa54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c1e7ba0-a6e2-46c5-a054-4aa32f53fa54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f61d5f68-781f-4ecf-bea8-c0938f8a5b3f' class='xr-var-data-in' type='checkbox'><label for='data-f61d5f68-781f-4ecf-bea8-c0938f8a5b3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd></dl></div><div class='xr-var-data'><pre>array([-3453975., -3453985., -3453995., ..., -3484905., -3484915., -3484925.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.831e+06 ... -5.797e+06</div><input id='attrs-e78ea5dd-948f-4ec9-9ae2-795d0468f826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e78ea5dd-948f-4ec9-9ae2-795d0468f826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48722657-cbfe-40bd-9a5a-65ed28b6efdc' class='xr-var-data-in' type='checkbox'><label for='data-48722657-cbfe-40bd-9a5a-65ed28b6efdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:3857</dd></dl></div><div class='xr-var-data'><pre>array([-5831115., -5831105., -5831095., ..., -5797035., -5797025., -5797015.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3857</div><input id='attrs-92129771-7430-4fac-8b90-b6eb1d15c533' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92129771-7430-4fac-8b90-b6eb1d15c533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f30c6f-2a6e-40e6-9ced-72ca9dc7b8d6' class='xr-var-data-in' type='checkbox'><label for='data-f5f30c6f-2a6e-40e6-9ced-72ca9dc7b8d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCRS[&quot;WGS 84 / Pseudo-Mercator&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;Popular Visualisation Pseudo-Mercator&quot;,METHOD[&quot;Popular Visualisation Pseudo Mercator&quot;,ID[&quot;EPSG&quot;,1024]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Web mapping and visualisation.&quot;],AREA[&quot;World between 85.06°S and 85.06°N.&quot;],BBOX[-85.06,-180,85.06,180]],ID[&quot;EPSG&quot;,3857]]</dd><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;WGS 84 / Pseudo-Mercator&quot;,BASEGEOGCRS[&quot;WGS 84&quot;,ENSEMBLE[&quot;World Geodetic System 1984 ensemble&quot;,MEMBER[&quot;World Geodetic System 1984 (Transit)&quot;],MEMBER[&quot;World Geodetic System 1984 (G730)&quot;],MEMBER[&quot;World Geodetic System 1984 (G873)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1150)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1674)&quot;],MEMBER[&quot;World Geodetic System 1984 (G1762)&quot;],MEMBER[&quot;World Geodetic System 1984 (G2139)&quot;],ELLIPSOID[&quot;WGS 84&quot;,6378137,298.257223563,LENGTHUNIT[&quot;metre&quot;,1]],ENSEMBLEACCURACY[2.0]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433]],ID[&quot;EPSG&quot;,4326]],CONVERSION[&quot;Popular Visualisation Pseudo-Mercator&quot;,METHOD[&quot;Popular Visualisation Pseudo Mercator&quot;,ID[&quot;EPSG&quot;,1024]],PARAMETER[&quot;Latitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8801]],PARAMETER[&quot;Longitude of natural origin&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8802]],PARAMETER[&quot;False easting&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8806]],PARAMETER[&quot;False northing&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8807]]],CS[Cartesian,2],AXIS[&quot;easting (X)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1]],AXIS[&quot;northing (Y)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1]],USAGE[SCOPE[&quot;Web mapping and visualisation.&quot;],AREA[&quot;World between 85.06°S and 85.06°N.&quot;],BBOX[-85.06,-180,85.06,180]],ID[&quot;EPSG&quot;,3857]]</dd><dt><span>GeoTransform :</span></dt><dd>-5831120 10 0 -3453970 0 -10</dd></dl></div><div class='xr-var-data'><pre>array(3857, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-02-21T13:40:29.936000</div><input id='attrs-84bdd967-b628-4654-9cdb-f6afbf6ff531' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84bdd967-b628-4654-9cdb-f6afbf6ff531' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da3be85e-f92f-423a-bdb3-4693725339e1' class='xr-var-data-in' type='checkbox'><label for='data-da3be85e-f92f-423a-bdb3-4693725339e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-02-21T13:40:29.936000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0fc4c88-69c3-47b2-8615-12365928bc35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0fc4c88-69c3-47b2-8615-12365928bc35' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.216e+03 1.201e+03 ... 1.104e+03</div><input id='attrs-4ae3d028-2845-4c2a-a1bc-574433405e34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ae3d028-2845-4c2a-a1bc-574433405e34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c04c86b-3e8d-4b95-8187-64c1d30e713d' class='xr-var-data-in' type='checkbox'><label for='data-1c04c86b-3e8d-4b95-8187-64c1d30e713d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[[1216., 1201., 1187., ..., 1616., 1593., 1587.],\n",
+       "        [1205., 1196., 1188., ..., 1754., 1728., 1717.],\n",
+       "        [1219., 1262., 1291., ..., 1728., 1708., 1705.],\n",
+       "        ...,\n",
+       "        [1383., 1432., 2138., ..., 1132., 1087., 1092.],\n",
+       "        [1366., 1332., 2103., ..., 1123., 1093., 1104.],\n",
+       "        [1366., 1332., 2103., ..., 1123., 1093., 1104.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.388e+03 1.365e+03 ... 1.161e+03</div><input id='attrs-8d62853a-df6e-4b5b-9c49-c7fa0556e4de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d62853a-df6e-4b5b-9c49-c7fa0556e4de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e615eff-a8f3-4285-86e9-1374a4604204' class='xr-var-data-in' type='checkbox'><label for='data-2e615eff-a8f3-4285-86e9-1374a4604204' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[[1388., 1365., 1312., ..., 1592., 1584., 1576.],\n",
+       "        [1355., 1339., 1289., ..., 1647., 1653., 1658.],\n",
+       "        [1359., 1429., 1445., ..., 1628., 1622., 1630.],\n",
+       "        ...,\n",
+       "        [1457., 1444., 1776., ..., 1211., 1138., 1140.],\n",
+       "        [1462., 1445., 1757., ..., 1213., 1159., 1161.],\n",
+       "        [1462., 1445., 1757., ..., 1213., 1159., 1161.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.13e+03 1.118e+03 ... 1.059e+03</div><input id='attrs-98f47aaa-4b6d-4a2f-86e3-6eb8dff8e24c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f47aaa-4b6d-4a2f-86e3-6eb8dff8e24c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67ef92da-c898-42ce-a5cc-0fe28e897ace' class='xr-var-data-in' type='checkbox'><label for='data-67ef92da-c898-42ce-a5cc-0fe28e897ace' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[[1130., 1118., 1101., ..., 1286., 1272., 1260.],\n",
+       "        [1110., 1106., 1093., ..., 1347., 1363., 1366.],\n",
+       "        [1116., 1155., 1171., ..., 1323., 1325., 1341.],\n",
+       "        ...,\n",
+       "        [1190., 1175., 1363., ..., 1077., 1048., 1051.],\n",
+       "        [1188., 1176., 1339., ..., 1078., 1058., 1059.],\n",
+       "        [1188., 1176., 1339., ..., 1078., 1058., 1059.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>data_source_map</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>11.0 11.0 11.0 ... 36.0 36.0 36.0</div><input id='attrs-06a273ae-1a66-4088-9060-578955bc7c5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06a273ae-1a66-4088-9060-578955bc7c5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e389ea1e-07d5-4c96-9993-653a09b2e256' class='xr-var-data-in' type='checkbox'><label for='data-e389ea1e-07d5-4c96-9993-653a09b2e256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodata :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>array([[[11., 11., 11., ..., 37., 37., 37.],\n",
+       "        [11., 11., 11., ..., 37., 37., 37.],\n",
+       "        [11., 11., 11., ..., 37., 37., 37.],\n",
+       "        ...,\n",
+       "        [11., 11., 11., ..., 36., 36., 36.],\n",
+       "        [11., 11., 11., ..., 36., 36., 36.],\n",
+       "        [11., 11., 11., ..., 36., 36., 36.]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-062809d9-1ad2-4a7e-b0cd-d0dc5f72ced6' class='xr-section-summary-in' type='checkbox'  ><label for='section-062809d9-1ad2-4a7e-b0cd-d0dc5f72ced6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d0d46fbc-4243-4d68-9103-22766e89441a' class='xr-index-data-in' type='checkbox'/><label for='index-d0d46fbc-4243-4d68-9103-22766e89441a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3453975.0, -3453985.0, -3453995.0, -3454005.0, -3454015.0, -3454025.0,\n",
+       "       -3454035.0, -3454045.0, -3454055.0, -3454065.0,\n",
+       "       ...\n",
+       "       -3484835.0, -3484845.0, -3484855.0, -3484865.0, -3484875.0, -3484885.0,\n",
+       "       -3484895.0, -3484905.0, -3484915.0, -3484925.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=3096))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26f96176-22ef-4007-b103-e562f204c15e' class='xr-index-data-in' type='checkbox'/><label for='index-26f96176-22ef-4007-b103-e562f204c15e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-5831115.0, -5831105.0, -5831095.0, -5831085.0, -5831075.0, -5831065.0,\n",
+       "       -5831055.0, -5831045.0, -5831035.0, -5831025.0,\n",
+       "       ...\n",
+       "       -5797105.0, -5797095.0, -5797085.0, -5797075.0, -5797065.0, -5797055.0,\n",
+       "       -5797045.0, -5797035.0, -5797025.0, -5797015.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3411))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-710213b7-4bcc-4c20-bfea-e650877cb148' class='xr-index-data-in' type='checkbox'/><label for='index-710213b7-4bcc-4c20-bfea-e650877cb148' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2024-02-21 13:40:29.936000&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae201ccb-b812-455a-9594-62751043574d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae201ccb-b812-455a-9594-62751043574d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 169MB\n",
+       "Dimensions:          (y: 3096, x: 3411, time: 1)\n",
+       "Coordinates:\n",
+       "  * y                (y) float64 25kB -3.454e+06 -3.454e+06 ... -3.485e+06\n",
+       "  * x                (x) float64 27kB -5.831e+06 -5.831e+06 ... -5.797e+06\n",
+       "    spatial_ref      int32 4B 3857\n",
+       "  * time             (time) datetime64[ns] 8B 2024-02-21T13:40:29.936000\n",
+       "Data variables:\n",
+       "    red              (time, y, x) float32 42MB 1.216e+03 1.201e+03 ... 1.104e+03\n",
+       "    green            (time, y, x) float32 42MB 1.388e+03 1.365e+03 ... 1.161e+03\n",
+       "    blue             (time, y, x) float32 42MB 1.13e+03 1.118e+03 ... 1.059e+03\n",
+       "    data_source_map  (time, y, x) float32 42MB 11.0 11.0 11.0 ... 36.0 36.0 36.0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = stac_load(\n",
+    "    [item],\n",
+    "    bands=BANDS,\n",
+    "    crs=CRS, \n",
+    "    resolution=RESOLUTION,\n",
+    "    ## Loading in subset of full Mosaic to limit processing times\n",
+    "    bbox=[-52.38175462, -29.85496458, -52.07547469, -29.61356083]\n",
+    ")\n",
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea4a870e-b0ba-4295-a907-e503e2dd2db4",
+   "metadata": {},
+   "source": [
+    "Here we'll plot an RGB True Color Composite (TCC):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "6dabf908-cdc8-4e54-8b7d-95429550aeb0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "rgb_ds = dataset.isel(time=0)\n",
+    "rgb_arr = np.stack(\n",
+    "    [rgb_ds['red'], rgb_ds['green'], rgb_ds['blue']],\n",
+    "    axis=-1\n",
+    ")\n",
+    "fig, ax = plt.subplots(figsize=(10,5))\n",
+    "# Digital Number (DN) values typically range from 0-10000\n",
+    "ax.imshow(((rgb_arr/10000)*255).astype('uint8'))\n",
+    "ax.set_yticklabels([])\n",
+    "ax.set_xticklabels([])\n",
+    "plt.title(\"True Color Composite RGB\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cba61e3-5439-4708-b10e-e0a5b7ff9d33",
+   "metadata": {},
+   "source": [
+    "## Features Specific to EarthMosaic Datasets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa56da89-2b5d-4c09-acec-fff791328c5e",
+   "metadata": {},
+   "source": [
+    "### Mosaic Source Metadata\n",
+    "In order to determine which date, or more specifically which Sentinel-2 and/or Landsat 8/9 source image, a particular pixel is derived from, we can assess properties contained within the mosaic datset. \n",
+    "\n",
+    "First, we will retrieve the `data_source_map` band:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "7fbabc2e-5662-4eab-87aa-8c2315c70d58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 9., 10., 11., 13., 14., 34., 36., 37., 38., 39., 40., 42.],\n",
+       "      dtype=float32)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dmap = dataset['data_source_map'].values\n",
+    "unique_indices = np.unique(dmap)\n",
+    "unique_indices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89bee6f4-2a76-47d2-9f54-184db3f6b6ef",
+   "metadata": {},
+   "source": [
+    "Each value in the `data_source_map` band corresponds to a lookup table contained in the `data_source_metadata` dictionary. Here, we retrieve that dictionary through a simple `requests` call:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "0087e6d0-e598-432a-9871-bf8d108ecca4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'dataset': 'S2B_22JDN_20240327_0_L2A',\n",
+       " 'source': [{'rel': 'canonical',\n",
+       "   'href': 's3://sentinel-cogs/sentinel-s2-l2a-cogs/22/J/DN/2024/3/S2B_22JDN_20240327_0_L2A/S2B_22JDN_20240327_0_L2A.json',\n",
+       "   'type': 'application/json'},\n",
+       "  {'rel': 'license',\n",
+       "   'href': 'https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice'},\n",
+       "  {'rel': 'derived_from',\n",
+       "   'href': 'https://earth-search.aws.element84.com/v1/collections/sentinel-2-l1c/items/S2B_22JDN_20240327_0_L1C',\n",
+       "   'type': 'application/geo+json'},\n",
+       "  {'rel': 'self',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/v1/collections/sentinel-2-l2a/items/S2B_22JDN_20240327_0_L2A',\n",
+       "   'type': 'application/geo+json'},\n",
+       "  {'rel': 'parent',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/v1/collections/sentinel-2-l2a',\n",
+       "   'type': 'application/json'},\n",
+       "  {'rel': 'collection',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/v1/collections/sentinel-2-l2a',\n",
+       "   'type': 'application/json'},\n",
+       "  {'rel': 'root',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/v1',\n",
+       "   'type': 'application/json',\n",
+       "   'title': 'stac-fastapi'},\n",
+       "  {'rel': 'related',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/collections/sentinel-2-l2a-cog-ag-cloud-mask/items/S2B_MSIL2A_20240327T133149_N0510_R081_T22JDN_20240327T170542.SAFE_AG_CLOUD_MASK_20240327234934',\n",
+       "   'type': 'application/geo+json',\n",
+       "   'title': 'ag_cloud_mask'},\n",
+       "  {'rel': 'related',\n",
+       "   'href': 'https://edc-skyfox.eds.earthdaily.com/archive/v1/stac/collections/sentinel-2-eda-cloud-mask/items/S2B_MSIL2A_20240327T133149_N0510_R081_T22JDN_20240327T170542.SAFE_AG_CLOUD_MASK_20240912010437',\n",
+       "   'type': 'application/geo+json',\n",
+       "   'title': 'cloud_mask'}]}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "meta = item.assets['data_source_metadata'].to_dict()\n",
+    "meta = requests.get(meta['alternate']['download']['href']).json()\n",
+    "meta['1']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e949b787-4e07-437d-9f2f-ee50c8f8d01c",
+   "metadata": {},
+   "source": [
+    "Next, we can retrieve the corresponding `href` for each value in order to visualize source Sentinel-2 Image IDs:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b6801055-fd33-4d0b-9309-53e963c08dfa",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>value</th>\n",
+       "      <th>date</th>\n",
+       "      <th>source_s2_id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2024-04-06</td>\n",
+       "      <td>S2B_22JDN_20240406_0_L2A</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2024-03-27</td>\n",
+       "      <td>S2B_22JDN_20240327_0_L2A</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-03-24</td>\n",
+       "      <td>S2B_22JDN_20240324_0_L2A</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2024-03-07</td>\n",
+       "      <td>S2B_22JDN_20240307_0_L2A</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2024-04-06</td>\n",
+       "      <td>S2B_22JDM_20240406_0_L2A</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   value       date              source_s2_id\n",
+       "0      0 2024-04-06  S2B_22JDN_20240406_0_L2A\n",
+       "1      1 2024-03-27  S2B_22JDN_20240327_0_L2A\n",
+       "2      2 2024-03-24  S2B_22JDN_20240324_0_L2A\n",
+       "3      3 2024-03-07  S2B_22JDN_20240307_0_L2A\n",
+       "4      4 2024-04-06  S2B_22JDM_20240406_0_L2A"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "date_map = []\n",
+    "for i, info in meta.items():\n",
+    "    source_s2_ds = info['dataset']\n",
+    "    date = source_s2_ds.split('_')[-3]\n",
+    "    date_map.append({\n",
+    "        'value':int(i),\n",
+    "        'date':date, \n",
+    "        'source_s2_id':source_s2_ds\n",
+    "    })\n",
+    "date_df = pd.DataFrame(date_map)\n",
+    "date_df['date']=pd.to_datetime(date_df['date'])\n",
+    "date_df.head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb6e622b-bb46-418e-98ab-e4329f59d3e5",
+   "metadata": {},
+   "source": [
+    "Last, we can plot the corresponding Sentinel-2 collection IDs on the pixel-level:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "b822f5fe-bea5-46b8-9eaa-f30eb127fca2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Y1vwuIiLjMSAhqgcCAwMxePBgfPnll/jmm2/wxRdfoH379ujRo0e1+2kKd9XNsdGsWTMA6qejGs899xx8fHzw1ltv4dixYzh27BjefPNNuLu7IzIyEsnJyVAqlfL2UVFR+PXXX9GrVy8sWrQIXbt2RUBAAFxcXFBaWir/awzNKEZ+fn5GbW+qoKAgPPLII3jkkUeQlJSEuXPn4q233sK+ffvkUY6AmvNOk2+AOu+sFZDoqx0BTM8XzVwX+fn5WrVf+ty6dcv4BNbA09NT73rNiFY1vS6EkNeVlZVh7NixyMrKwogRIzBnzhx07NgRfn5+aNiwIc6fP4927dqhpKRE61iaEen0Bc/Vrdfk2fnz53H+/HlDlwjAsjwbNWoUlEol1q9fj/DwcPz111949tln4erqWu1+mvT9+OOPNZ7DlPSZm8+az4gmmKyq8meksgsXLuDpp59GSUkJXnrpJUyaNAl33nknvL29IUkSPvjgA/l1U1nzu4iIjMcmW0T1hKY5R2RkJP755x+j5h7x9vYGAFy7ds3gNlevXgWgW0iLjIxERkYGrly5gk8//RTTpk2DQqHAypUrtWpmsrKysG/fPnh6emLXrl2IiIhAs2bN5CYcf/zxh0nXqUlH1SZUtUGhUCApKQmBgYEA1MPjatSUd5p8A7TzTl/BurKqwzcby9R80aS/X79+EOr+hgYXQ8Mu29qRI0dw/vx5hISEYMuWLbj//vvRqFEjNGzYEIDhe0sT1FWtbdGoHHxXpsmzlStX1phnlYdiNpW7uzsef/xxXL16VW76Z8rnWdMUs7olKirK6PSYm8+a9Pz11196Xzf02dm4cSNKSkowfvx4pKSkoGvXrvDx8ZE/O6Z+Z2hY+7uIiIzHgISonnjkkUfg7e2NS5cuGT152l133QUAOHPmjN7Xy8vL8csvv2htW1VgYCDGjRuHDz74AN9//z0aNGiAHTt24MqVKwBuN2Fp3749AgICdPY3tb22pinU0aNHUV5ebtK+5mjQoAFCQkIAAP/884+8vqa8++mnnwConwJXrh3RFIYNFdJqevJuiCZfDM1/UpWmqdnPP/9cJ/lYGzSBUvfu3XUmtAQM31ua9+7UqVN6X9c0fapKk2fG1EBYShPUX7p0CXfccQf69u1b4z7mps/QfCsaluaz5jukKk0zQ0PnM3TNhs5X03VY+7uIiIzHgISonvD09MRLL72EQYMGYfr06XIhujpDhw6FJEn47rvv9E6Ct2XLFvz555/w8vKSmypVJywsTG6qpWlr7uHhAUD9NFRfrUBSUlKNx62sX79+aNy4MS5fvix34rdEdbVDgLrGQRN0tGvXTl4fEREBAFi6dKne/f79739rbadxxx13AFAHVFX98MMPZheKRowYARcXFxw+fLjGJliA+lo6deqE3NxcfPjhh2ad09Y091bl2iiNkpISLFmyRO9+Q4YMAaDuLF5WVqbzuqFJGB955BF5v5ycHDNSbLz7778fjz76KAYNGoTY2Fij9tFMgPr+++9X2/eiKk0+GmrGZW4+Dx06FACwatUqvc2rli9fbvL5fvnlF3z++efV7lfTdVjru4iITFAXQ3kRUd2qOuxvTYyZh6RTp05a8yocO3ZMnihuzpw58nqVSiXGjRsn9u3bpzX/R2lpqXjnnXfkYYJv3LghhBDin3/+Ef7+/gKASEhIEOXl5UII9dwZL7zwgnB3dzeYNkPzkFQ+zyeffCIfUwj1fBBvv/220fOQdO/eXUycOFF8/fXXOkOTnjhxQp6boHnz5lrD7Vaeh2TWrFla85C8+eabBuch2bVrlwAglEql+P777+X1Z8+eFWFhYfLQvYaG/a26vrLo6Gh5grsvv/xS67XLly+LRYsWaa3buXOnkCRJeHp6ipUrV+oMFXvhwgWRmJho0uSINQ37a2ho2QULFujdT0Pf9V+5ckWe8G/t2rXy+ry8PPH444/L91ZISIjWsSrPQ/LUU0/J87iUl5eL5cuXVzsPydixYwUAcc899+gMQVxaWir27dsnJk6cqDPPhSFVh/01RnXzkPTu3VsAEIMHDxbnzp3Ter2oqEjs2LFDPPnkk1rrjx49KgCINm3ayHOFVGZuPt+8eVMerrnqfC9LliwxOA/Jpk2bBADh7+8vTpw4Ia//9ddfRadOneTzVb2Xrl27JgAIb29vvZ9/S76LiMgy/FQROSFrBiSVZ2pv2LChuPvuu+WZnjUFm8oztV+/fl1+zcvLS9x9992iR48e8izKkiSJlStXap1j6dKl8j6BgYGiR48ewtfXV97W1ICkvLxc/N///Z+8X+PGjUXPnj1F69atRcOGDfXuY0jXrl3l47i7u4tOnTqJHj16aM0Q7ufnpzev//vf/8ozdPv7+4uePXuKpk2bCkA9i/f777+vs095ebkYPHiwvE1oaKjo1KmTaNCggbj//vvFxIkTzQ5IioqKxOjRo+V0BwUFiZ49e4oWLVoYnKl96dKlcp75+PiI7t27ix49esiTYgIQK1asMCovhajbgEQIIWJiYuR0tmrVSnTv3l14eHgIFxcXsWLFCr0FZSHUM7Vr3julUil69uwpv+dvvfWW/P5UdePGDTFkyBCtc/bq1Ut07txZnpEcgNZnpjrWDEiEUM81cs8998jpaNu2rejVq5cICwuTr7dZs2Za+5SVlcmztTdq1Ej06dNHhIeHixdffFHextx83rt3rxzg+fr6ip49e9Y4U3tJSYkcWDVs2FB06NBBdOrUSUiSJJo3by4SExMN3ksPPPCAfC/36tVLhIeHi3Hjxsmvm/tdRESW4aeKyAlZMyARQv0k89VXXxWdOnUSHh4ewsvLS/Ts2VO8++67OrUGpaWlYt26dSIyMlK0b99eKJVK4eHhIe666y4xadIkkZGRofccH330kejatatwdXUVfn5+4oEHHpBnEzc1INHYuXOnePDBB0WTJk2Eq6urCA4OFg888IBYvny5XGNRk2vXrol169aJiRMnii5duojGjRsLhUIh/Pz8RK9evcT8+fO1Zg2v6vTp0+KJJ54QzZs3Fy4uLqJJkybikUceEQcPHjS4z40bN8Ts2bNFixYthKurq2jTpo145ZVXRFFRUY0TI1YXkAihDng+/vhjMWjQIBEQECBcXV1Fq1atxMiRIw1OJHn69Gnx1FNPiTvuuEO4u7sLpVIpOnbsKCZMmCA2bdqk96m5IXUdkGietrdv3164urqKxo0bi1GjRonDhw/LhX19BWUh1LWAI0eOFEqlUr7n169fL27evCkHKvqUlZWJjz/+WERERIjGjRsLFxcX0bx5c9GrVy8xZ84cceTIEcMZVIW1AxIh1IHp8uXLxf333y/8/f2Fq6uraNmypbjvvvvEokWLxJkzZ3T2OXv2rHjsscdE06ZN5QC18vEtyecTJ06IUaNG6eSzEIY/+yqVSsycOVMEBQUJFxcX0aJFC/HUU0+JrKysau+l7OxsERUVJYKDg+VanarpMue7iIgsIwlhYCgXIiIi0nHs2DH06NEDd999NzIyMmydHCIih8dO7URERCZYs2YNABg1kAMREdWMAQkREVEV+/btw6effori4mJ5XUlJCd5++22sWLECDRo0wNNPP23DFBIROQ/O1E5ERFTF77//jieffBIuLi5o06YNfH19cfbsWXnG+8WLF6Nr1662TSQRkZNgHxIiIqIqLly4gCVLlmDfvn3IysrCjRs3EBAQgF69euH555+X59AgIiLLMSAhIiIiIiKbYR8SIiIiIiKyGQYkRERERERkMwxIiIiIiIjIZhiQEBERERGRzTAgIb3S0tIgSZLBZf/+/fK2rVu3ltc3aNAASqUSHTp0wOTJk/HVV19Ve57t27dDkiQ0atRIa7z/mkRFRUGSJPj4+ODmzZs6r//+++9o0KABJEnCwoULjT5ubbh48SIkSUJaWppVjpeTk4N58+YhLCwMXl5eUCqVaN++PSIjI3Hq1CmrnMMeRUVFwdvb29bJICIiIivjPCRUrTVr1qB9+/Y668PCwrT+7tevH1JSUgAAN2/exK+//opPP/0UERERGDNmDNavXw8XFxed46xatQoAkJubi23btmHcuHFGp83FxQWlpaXYsGEDpk2bppNuHx8fec4AW2revDkOHTqEO++80+Jj3bx5E71798bNmzcRGxuLu+++G7du3cLZs2exZcsWZGRkoEuXLlZINREREVHdYEBC1erUqRN69OhR43Z+fn7o3bu3/PfgwYMxY8YMLFy4EIsWLUJcXBzefPNNrX2ys7Oxa9cuPPDAAzh48CBWrVplUkDi6uqKUaNGYfXq1VoBiRACaWlpGDduHFauXGn08WqLm5ubVt5YYtOmTTh//jz27t2LgQMHar02e/ZslJeXW+U8prh16xY8PDzq/LxERETkHNhki2rVwoUL0bFjRyxduhRFRUVar61duxalpaWIjo7Go48+iq+//hq///67ScefOnUqDh48iF9//VVet2fPHnmWZX1+/PFHjB49Gv7+/nB3d0fXrl2xdu1arW3Ky8uRmJiI0NBQeHh4wM/PD126dME777wjb3P+/Hk8+eSTaNeuHTw9PREcHIxRo0bh9OnTWscy1GTrl19+wYQJE9CsWTO4ubmhVatWmDx5crVN13JycgCoa130adBA+yP93XffYdCgQfDx8YGnpyf69u2LnTt3am2zcOFCSJKkcyxNs72LFy/K61q3bo0HH3wQW7ZswT333AN3d3csWrQIAHD58mU888wzaNmyJVxdXREUFITHHnsMV69elffPz89HTEwM2rRpA1dXVwQHB2PWrFkoKCgweM3V0aRnx44duOeee+Dh4YEOHTpgx44d8jV06NABXl5euPfee/HDDz9o7f/DDz9g/PjxaN26NTw8PNC6dWtMmDBB73343XffoU+fPnB3d0dwcDDi4+PxwQcf6OQRAGzYsAF9+vSBl5cXvL29ERERgRMnTmht89tvv2H8+PEICgqCm5sbmjVrhkGDBiEjI8OsvCAiInJUDEioWmVlZSgtLdVaysrKTDrGqFGjUFhYqFMYXL16NZo3b47hw4dj6tSpKC8vN7mfxeDBgxESEoLVq1fL61atWoX7778f7dq109n+119/Rd++ffHTTz/h3//+N7Zs2YKwsDBERUUhKSlJ3i4pKQkLFy7EhAkTsHPnTrlZWF5enrxNVlYWGjVqhDfeeAPp6elYtmwZFAoFevXqpRUg6XPy5En07NkThw8fxquvvoovvvgCixcvRnFxMf755x+D+/Xp0wcAMHnyZGzbtk0OUPQ5cOAAHnjgAahUKqxatQrr16+Hj48PRo0ahQ0bNlSbvuocP34csbGxeOGFF5Ceno4xY8bg8uXL6NmzJ7Zu3YrZs2fjiy++wJIlS6BUKnH9+nUAQGFhIcLDw7F27Vq88MIL+OKLLzBnzhykpaXhoYcegrlztJ48eRLz5s3DnDlzsGXLFiiVSjz66KNYsGABPvjgA7z++uv4+OOPoVKp8OCDD+LWrVvyvhcvXkRoaCiWLFmCL7/8Em+++SauXLmCnj174u+//5a3O3XqFIYMGYLCwkKsXbsW7733Ho4fP47XXntNJz2vv/46JkyYgLCwMGzcuBHr1q3DjRs30L9/f5w5c0bebsSIETh27BiSkpKwe/durFixAvfcc4/WPUZERFQvCCI91qxZIwDoXRo2bKi1bUhIiBg5cqTBY61YsUIAEBs2bJDXffPNNwKAmDt3rhBCiPLyctGmTRsREhIiysvLa0zflClThJeXlxBCiAULFojAwEBRUlIicnJyhJubm0hLSxN//fWXACAWLFgg7zd+/Hjh5uYmLl26pHW84cOHC09PT5GXlyeEEOLBBx8UXbt2rTEdlZWWlop//vlHtGvXTkRHR8vrMzMzBQCxZs0aed0DDzwg/Pz8xLVr10w6hxBCvPrqq8LV1VV+P9q0aSOeffZZcfLkSa3tevfuLZo2bSpu3LihlcZOnTqJFi1ayPm8YMECoe+rQHMPZGZmyutCQkJEw4YNxa+//qq17dSpU4WLi4s4c+aMwXQvXrxYNGjQQBw9elRr/WeffSYAiF27dlV73ZXf88rp8fDwEH/++ae8LiMjQwAQzZs3FwUFBfL6bdu2CQBi+/btBs9RWloqbt68Kby8vMQ777wjr3/88ceFl5eX+Ouvv+R1ZWVlIiwsTCuPLl26JBQKhZg5c6bWcW/cuCECAwPF2LFjhRBC/P333wKAWLJkSbXXTEREVB+whoSq9eGHH+Lo0aNay/fff2/SMYSeJ9+azuxTp04FAEiShKioKPz+++/4+uuvTTr+k08+iatXr+KLL77Axx9/DFdXVzz++ON6t927dy8GDRqEli1baq2PiopCYWEhDh06BAC49957cfLkSTz33HP48ssv9XaOLy0txeuvv46wsDC4urpCoVDA1dUV586dw88//2wwvYWFhThw4ADGjh2LJk2amHStABAfH49Lly5h9erVmD59Ory9vfHee++he/fuWL9+PQCgoKAA33//PR577DGtkakaNmyIyMhI/PnnnzXW4hjSpUsX3HXXXVrrvvjiCwwcOBAdOnQwuN+OHTvQqVMndO3aVavGLSIiQmfkNlN07doVwcHB8t+aNAwYMACenp466ys3x7p58ybmzJmDtm3bQqFQQKFQwNvbGwUFBVrvoaa2qXHjxvK6Bg0aYOzYsVpp+fLLL1FaWorJkydrXaO7uzvCw8PlawwICMCdd96J5ORkvP322zhx4oRN+v8QERHZAwYkVK0OHTqgR48eWkv37t1NOoamABgUFAQAuHHjBjZt2oR7770XTZo0QV5eHvLy8vDII49AkiQ5WDFWSEgIBg0ahNWrV2P16tUYP368VkG0spycHL39LzRp0zSBmjdvHlJSUnD48GEMHz4cjRo1wqBBg7Sanc2ePRvx8fF4+OGH8fnnn+P777/H0aNH5ZGvDLl+/TrKysrQokULk66zsmbNmuHJJ5/Ee++9h1OnTuHAgQNwdXXFiy++KJ9DCGHUtZpK3zH/+uuvGq/n6tWrOHXqFFxcXLQWHx8fCCG0mkiZIiAgQOtvV1fXatdX7ss0ceJELF26FE899RS+/PJLHDlyBEePHkWTJk203sOcnBw0a9ZM59xV12n6y/Ts2VPnOjds2CBfoyRJ+PrrrxEREYGkpCR069YNTZo0wQsvvIAbN26YlQ9ERESOiqNsUa0SQuDzzz+Hl5eXPFrX+vXrUVhYiCNHjsDf319nn61bt+L69et6XzNk6tSpmDRpEsrLy7FixQqD2zVq1AhXrlzRWZ+VlQUA8hNwhUKB2bNnY/bs2cjLy8OePXvw8ssvIyIiAn/88Qc8PT3x0UcfYfLkyXj99de1jvX333/Dz8/PYBoCAgLQsGFD/Pnnn0ZfX03uv/9+DB06FNu2bcO1a9fg7++PBg0aGHWt7u7uAIDi4mK4ublpXYc++jrAN2nSpMbrady4MTw8PLT6+1R9vS6pVCrs2LEDCxYswNy5c+X1xcXFyM3N1dq2UaNGWp3zNbKzs7X+1lzDZ599hpCQkGrPHxISIgffZ8+excaNG7Fw4UL8888/eO+998y6JiIiIkfEGhKqVYsWLcKZM2fw4osvygXfVatWwcfHB19//TX27duntSQnJ6O4uBgff/yxSed55JFH8Mgjj2Dq1KnVDrE7aNAg7N27Vy6Ua3z44Yfw9PTUu6+fnx8ee+wxzJgxA7m5ufKISpIkaRXgAWDnzp24fPlytWn18PBAeHg4Nm3aZHKtwNWrV/U27SkrK8O5c+fg6ekJPz8/eHl5oVevXtiyZYvWk/7y8nJ89NFHaNGihdzsqnXr1gCgM6ni559/bnS6hg8fjn379lXbDOzBBx/EhQsX0KhRI51atx49esjpqCuSJEEIofMefvDBBzoDN4SHh2Pv3r1a71d5eTk2bdqktV1ERAQUCgUuXLig9xoNDaF91113IS4uDp07d8bx48etdIVERESOgTUkVK0ff/wRpaWlOuvvvPNOrf4PeXl5OHz4MAB1/wXNxIjffvstxo4dKw8N++OPP+LIkSP4v//7PzzwwAM6x+3Xrx/eeustrFq1Cs8//7zR6XR3d8dnn31W43YLFizAjh07MHDgQMyfPx8BAQH4+OOPsXPnTiQlJUGpVAJQjwymmYOlSZMm+P3337FkyRKEhITIo3c9+OCDSEtLQ/v27dGlSxccO3YMycnJRjXFevvtt3HfffehV69emDt3Ltq2bYurV69i+/bteP/99+Hj46N3v3Xr1uH999/HxIkT0bNnTyiVSvz555/44IMP8NNPP2H+/Ply06TFixdjyJAhGDhwIGJiYuDq6orly5fjxx9/xPr16+WajhEjRiAgIADTpk3Dq6++CoVCgbS0NPzxxx9G5T0AeaSw+++/Hy+//DI6d+6MvLw8pKenY/bs2Wjfvj1mzZqFzZs34/7770d0dDS6dOmC8vJyXLp0CV999RVeeukl9OrVy+hzWsrX1xf3338/kpOT0bhxY7Ru3RoHDhzAqlWrdGq4XnnlFXz++ecYNGgQXnnlFXh4eOC9996ThyvWDLfcunVrvPrqq3jllVfw22+/YdiwYfD398fVq1dx5MgReHl5YdGiRTh16hSef/55PP7442jXrh1cXV2xd+9enDp1Squ2hoiIqF6waZd6slvVjbIFQKxcuVLeNiQkRF4vSZLw9vYWoaGhIjIyUnz55Zdax501a5YAIDIyMgyee+7cuQKAOHbsmMFt9I24VJW+UbaEEOL06dNi1KhRQqlUCldXV3H33XdrjYAlhBBvvfWW6Nu3r2jcuLFwdXUVrVq1EtOmTRMXL16Ut7l+/bqYNm2aaNq0qfD09BT33Xef+Pbbb0V4eLgIDw+Xt9M3ypYQQpw5c0Y8/vjjolGjRvI5oqKiRFFRkcFrOnPmjHjppZdEjx49RJMmTYRCoRD+/v4iPDxcrFu3Tmf7b7/9VjzwwAPCy8tLeHh4iN69e4vPP/9cZ7sjR46Ivn37Ci8vLxEcHCwWLFggPvjgA72jbBkaUe2PP/4QU6dOFYGBgcLFxUUEBQWJsWPHiqtXr8rb3Lx5U8TFxYnQ0FDh6uoqlEql6Ny5s4iOjhbZ2dkGr1sIw6Ns6UsPADFjxgytdZr3ITk5WV73559/ijFjxgh/f3/h4+Mjhg0bJn788UcREhIipkyZorX/t99+K3r16iXc3NxEYGCgiI2NFW+++aYAII/OprFt2zYxcOBA4evrK9zc3ERISIh47LHHxJ49e4QQQly9elVERUWJ9u3bCy8vL+Ht7S26dOkiUlNTRWlpabX5QERE5GwkIcwc/J+IqJ4bOnQoLl68iLNnz9o6KURERA6LTbaIiIwwe/Zs3HPPPWjZsiVyc3Px8ccfY/fu3SaPCkdERETaGJAQERmhrKwM8+fPR3Z2NiRJQlhYGNatW4dJkybZOmlEREQOjU22iIiIiIjIZjjsLxERERER2QwDEiIiIiIishmj+5AUFxejuLhY/ru8vBy5ublo1KiR3pmbiYiISJsQAjdu3EBQUJA8fw0RUX1ndECyePFieXI7IiIiMt8ff/xh1CSqRET1gdGd2qvWkKhUKrRq1Qp/APCtrdTZSJIKeFqpsnUyZEkAlieo/38x3qZJsaokAP+ydSLIJNZ8zzTHSqqyvqbjV5cGzbGWq+LwnDLRYe8vfjac1w3kozNaIi8vD0ql0tbJISKyC2aPspWfnw+lUgkVnC8gSRTADMn+Bh9LAOBE8Qg5EHPuPWP3qWm7iljc7GOZsn91xzL385cAIFUJ5JrwjIOfdeeVj3y0hhIqlQq+vs7260lEZB42YHUgzlxASah5E7Ihc+49YwOI6v7WHKemY2n2S1Xqrq+6zlzmfv7iYVowYsm5iIiIHBFrSPRwF8AVO6whIbIX5tY6WOu4mhqEqtsHmFgTUdPxiayNNSRERLpYQ6JHMWIA8Kk92UYC7P/eM6bWQp+arsvYY2qCkarbWyMYIapNVftMERERa0j0kkQBciVPWyeDqN6wdo1EbdXg6DtPvJ7/ExnCGhIiIl2sIdEnhcGIs0oAEJBs61TUP8bUjNh7rRARERHVDtaQVBUHSO8KNv1wUppgJDfWtumoD1hjQKSLNSRERLpYQ1JF6TwgmsGIQ9LUfgRUM6pSdKx6IftWuR8Na06IiIicG2tIquAIW46trvoOmMvQPBmpIhbRkrr6xl7TbkusbSFnwRoSIiJdDEiqYId2sgVrDVdLdcfeg19n4IyBKAMSIiJdbLJVWRwQzWCEbMBZg5HqhjCuq6ZYtXUec4c+JuMxf4mI6geFpQdQJqgAd+d5ypNr6wQQVXCGp8PVpb+uhuQ1NGeJrdhTWkgtQAkk5EkWHSMRQJyB1+JTBBATiwSkoCgfQDX93IiI6iOLm2xdhAq+dtxoiz/+5KgcrRmXvX3WjEmPLdJsb/lEQHMhociyeKRakihAArwQJwGaeIRNtoiIbnP6JlvO8MMfoHTukYZMubaq2zrCrObmqI1rqu18MuezFqCsflQ0SxiTHlt8P1j7nM54/9fEmtecAKCo1m+EBZhbWNvnICJyXE4fkFTmqD/cuSrnCKwMMeXaqm7rrO344+E4tSOWfK6iVfqH2XbUz6otGFMLRIalikJ1eytLxAGlBVZJDhFRvVSvAhJDElDxpDYZCBCxaC4kBIjYiqVQ6//8cXcM9lJzYg9p0KitwM2S4xoKKJ0xyLQVZ8xLa12T+nvCy+LjlM4DXDwNRyRuSIFiscWnISJyWk7fh6QmmjkgRHyKUU/JJBGD3Ir5Ish+VQ4E9M374YyFNDKM7znpE6AExEzJKjUkAIw6DvuQEBHpqrc1JPKs3kIyOhhxdPVp5ut4AKlKILVS7Fj5uutDHtgrU/PeGrVdDEZIrzwrNNcC1MeoB78hRES1pd4FJHLzLCFBqCTESag3PySpFU3OHLlwZkrBNFoFRMfe/ju+0r+OnAeOLAHaQSKRLblZobkWERFZzuJ5SOxNdQXuBADLhQQRD6AWh3i0V9GSp8MXxC3pAE/2oXKQaAy+j/VTXTw8MTRvCBER1S2nqyFJNTBEbkAykFRQMdZ8PakRqcrUH3drD63JZlL1T9X33JzaKd43VBsSAMQx2iUisgtOF5Agr1CnSUiAKIRQSVDYWe28vRe0rPlbXZfNpJx93hZHYo33nGXG2mPPn5Paft9TOVs6EZHdsDggSbJGKqwoWvLU+jtAFELEe9VprUhAsnE/9PWloKXpt2NOZ2ZzOPu8LfURa9hqR73+nMSh3taWExHZG4sDkn9ZIRHWLGzEA8itaKNui2DEUdR1AS+6SpDAgK1mCXDOgrg518OBCMjqYjh1OhGRvbCbeUis3YExIBkQKiuML1+FM8xD4ugjbZkiQOk4M57rkwB10xJHvgYNa9x35h6junlpqH4KELEQUkqdn5fzkBAR6bKbPiRWDUaUQMlz1g9GSD97fYqfADj8MDrxcI5gBDA/kLBGMKHpL2Bo0Iu6ZK+fF6qGg3+PEBHZO7sJSKwlAUBCnv11YLcn1n5CbG/Naaor7LEg6NiqNmNTzylUqFPIr/o+a4K6qk0HbcHePi/1lRtMqB3hwy0iolpl1/OQBCSr5yww5cc7VcRC1MM5Rui2yhMgwsQ5L+xdfWpuB+heq+ZvTcARrQJQZSALffsZWkdERES2Z981JDGFJg3NGKAERHzdtwmm6pk7ulZ1T7yNZahA66hqSn8C1IF8bUrA7VoJW4uH4RoHe0gf2YcAPb8jxYip+4QQEZFedh2QREueJrWfd8urH/1GHKWgpWlGY24QUHm/VDspADsjzbDMxoqH+rNpy+DOmBoQRw8+66u662OzqE7OQkRENbPrJlumFCjUtSO1lhS74iiXaY1ARJai2yyHdMUDiDexmZo5E8RZ4x7UFDpteT/bQxoqs7f0OAu9D7b4nUJEZDfsOiAxhVueBLDviNE0BZ9UpX109CXbsdUoXta858ytiavr+15TE1Vdntf3z2KdXX8iODkiEZGdsOsmW8YKUAJF9f1X3AypQj0xmCNkXa6JgxvUlvo0ZKszXqetrylaVdERvxp1lUZTmukRERHVJruZGNESdTnBlbkTI9rj6Ej2mCZD2JSFHElAMoBE1j7aqwBRiJJCL5sMD8+JEYmIdDl8DUkCgJJC+x9Zyx4LJZXTVNPTUs3oTXVdQ1D5XOb0dSDHU/X+snWthlliCoE8Jxtz2gkkAGguJIh42wQjRESkn8MHJKlKQLHY1qlwPOoJ5WJvF/b0zERceRK6VCWARPW/dRlcVZ5TpKamLsaqT82uHI2+Wjtr3W91+p77eQIptTz+MplEPVy1hCIJ7DdCRGRnHCIgqbYgkVdo9z8uAcn21147WqWeqVjTjyRXz8NcTY1EPNSdcDVLXar83lurYFoXM2Uz4DGNJUNE22Ne56pMn9SVak8CgKQCCXEc+ISIyC45REBS3Y96Auy73j0BAGIKrfZ031riART7iWqHvsxl+3ezMd9MY2mQaExQEl9lu9oOZHgP2AdNMMImWkRE9sshAhKNqk1tEgDE2fmvfjyAXBtPImdIrkp/zQg5B3usOagtxsxgX3U7e/xMknVpmmkxGCEism8OFZBULUCwk7Nz0VeAro1CY30pqDtrgbtq80dNzUd1zSIr50V9ef/ruwQAywWbaREROQKHCkgAPYUsO+8/4oj0FdjMLcSZ0oG8rgrQ9TWQ1bwPmgENAkShQxbO9TV/1PRzItJIFYXqDuxERGT3HC4g0aJnZCgyXdVCaWry7XWWFljt8Sl9fS24at6LaBUQLSUjWjLcf8gcdRXcGNs8y9z97YEpgbxmSG66LUAJiHi20yIichSOHZDEOEYHCFs/hTb1/JVnRa/6rzkcoQBYn8RXWeyFtT4n9nRNljDmOuRmalVqik3JS1t/P9UGtzyJtedERA7EqgFJgLJu53hwg/1PiAjYvoBU0/ltnT5yDpbeR/XpPrRWLY6m+VrVZmz1KS8B7fwMEIUoqm8ZQETk4KwWkGh+EOqyfT5bbNkXawaimuC2rqhH44mVZ6OvaVuyPmfIV2OvwZTvyer6dFWt6TLngZAzlN01AxuoFy/WjhARORirBSSpolBdTZ4XW2c/cPzNMZ+mqUdAsvqJoikTN8qdomsx+KzrOVDioe5XYcxNVVsjfzUXklMUys3lDAVjY5nSj0lfvtSnvKpJ5eAsVWn/Q8ETEZEuqwQkmh+EYj8B+CVrrQ8QhexwaWcSUNHGGurZpOFnTufmRUBc7cykbiuakZr0XUddTKJXnCKQKmLrdVBibXWdl3XxGajumuytX5A1VHe96ocjlQL5vFg+qSIickBWCUg0k//lqvQ8+fPzVBd6LWDoSXwxYiw7cD0VD+A5Sch/R6v0D6VqSK6q4v2ONVz4cbZCdWodNCHLjYVWQE+Wc7bCOWD5KGOOptrrjQPmFqpHBlSPrOUY/QqJiEibJIQQNW+mKz8/H0qlEhehgi98rZ0uLfpmWQbUtS9CqtuhHSURg1zJuQqNCXDOghtRZbzPnYPmfawaeC0XkkPMO5IPQAlApVLB17d2fzuJiBxFnQ/7a87TO4PNEFKsO4+CvdH01SCqC/o6RNf1wAK1SV8hlhyPZkCAqh36bxbaKEFERGSxWg1INBN2BYhYNBcSlgkJSQXqf5cJCc0rlsqjG5lUYEiEUw+1pZnAjqgu6Av866pGoS4CBQYjzkHfgACpohAKzoNIROSwrB6QaDqyLxMS3o6TIGIlCCkFRRIQJwEKL/W/cRJQVLEIKQUiVr19UoFk9AhOpvR7sGeGZkWvqw6qbMZCtlYX93p9u8/rck4oW3MDoxEiIkdmtYAkQKketjSpQIKQvBAnwfTRThLVAYuQUiBmVtSeVDMvRDyARCf4xbXGbOi1zVDhpj4Veqj21NV9ZM+fMWtKgLpPRVKBZNVRDo19j0zZztL3PQFOXVFORFQvWByQtPZVByJiprpDodWqzRMrak9iJQQIwz+qHOGx7ugbacoZhxkl+8YA2HiKxQBirNe5wtjPuinbWfr9EQ/+DhAROTqLAxLVdKV6ZJNa/EWIkwChUjflqloYKU4xa5AwMlF1c3SQc0uA4aG3rXV8U2YuJ+MUpwhISoFoqXYH/6g831RAxfC76gE5Cm+v1zMflWZ7a5y/iF9MREQOzfImW5b+oBhb156obsoVUGU26+hYE47hYEwtBLL5lH1SF9hi5YJ9bRbua0OqEijJkmot3Qx2rS8e6nltqpsryFyVg43KzXSFSlIvMysWyUu9xN5+fVmlQUwQUwgkWv6dlSo4GSIRkaOr82F/dZj4QxInQW7CpSkguTtpKVzfaDLGYGBiX9QFwkVIFY45Lqlm8Ai3PO2HAQFGTBZprafgldl74OKsnz1NTUhC3u1gQ6uZbmKVparEitpuKQVCJcENXohW3a4dMyff1N91nAyRiMjRWTwxogqo5WkRqxF3u1N7XB1NiOWMEyNS7TM0uaejCBCFcIMXiv2E0YGyugArIRHAFYlNKx1ZAtQ1ESI+xXq1EXFA6Tz1f108CwAA0ZKnSZ+RBABJBZJDDfnLiRGJiHTZvobEEom3hxAmsmeO3vk/V/JEMWIQrTLuSbamX8jcwtt/k2NSN9FSD99u1aZRFaMqqkdW9IKI9zKrFlGx2IppIiIim3DsgISI6tAipCpNCKwq+nbdLGSndUek6fskZkp189AnERDxXloT5RpDU8tCRESOiwEJERklV/I0urmWJmh5w1O9ONIkpqzNud3czuq1IjVJvN3HJKmg5rmoiIjIOTAgIXJg9l5Qi/cTyJVErTVXq40BHBy5aZ21pIpC2zaFrWjOpTUXVcVIdfZ+zxMRkekcu1O7DdhDp/YEsNBERMYx5/siQBRCSPbXU7y0APD2BJ6rCHI1NTmO1I+QndqJiHSxhsQBMRghImNUnXTSEefBqUxTa5JUIFl9OGkiIrIdBiREJEuA/nlD2ExGlzWbD2nyXTOruTWOqzlG5X4/uSrH6s9jiMILECrJ4WpHiIhIP6MDkuLiYuTn52stROSEYnQLxLYYJcsR+gtYM19KnpOQEKOeMNAaDA017ag1rKUFkEduAyAP+05ERI7P6IBk8eLFUCqV8tKyZcvaTJfDqlyIsvfCFPE90ivFU2eVsaNrmaq6oMPe526Jh/VqG+IBuASpBwC4YuEgAI4QyJlDsRh1O+IXERHVGaM7tRcXF6O4uFj+Oz8/Hy1btmSn9ioCRCGABYiWkpGq1C7IsTO6/bHme+Los7GTbWlmQ4+Wkm1+D9lrp3ZnwE7tRES6OMqWiWoKSNSFikLkSp466wEWVsm+8T61nQAlIGZKSExArQ6VbFRaGJDUGgYkRES62Km9Nuhp8gJYr7253AHWyu36NTMzByhrt8lHgFJd4LH1aD8JqJ08dOTmMvbeTKo2Wfq+WeNeSkxQt0pKrZhzg4iIqD5gQGJlqUpU287ZWoUMtxjJ6qPlpCoBEZ8C5MUitZaH1BTxXkBeofy3LQpf8aidvhH1tUDvyDTD45obpCbA8v4kuSrIfUiibTzXERERUV1iQGJluarqC7nWKqwWp5jV0q5a0SpASogBUpL1BlXWevofrQLcEyDXJGkmN1P3v3FsDEYck1ZwGlfdlob3t8Z7H1/pX95LRERUX7APiYksmand0Tu1BygB5On2j7GEJsBJFbEAFln12PZInqhOX6E38fZT9lRRiGjJs87uF0e/N52Bsf13NPdQbY18BrAPSW1iHxIiIl2sIalDjl7gi1YB0VYOGDRPgnOl5DoLRmqjeZi+Y2pPdheLZULC23ESxEwJIrZiUVX6/0xJPQO1kCDivdT/r6N+No5+b5rCXvtmGKoV0fTp0jQnCxASEvIku70OIiIiU7GGxESW1JA4gwQAqclAbqytU2J/NMO2AgBSklHynASFhQ+ZSwuANzyB+BShlees0TBfQB3XPlkqQMRqN6PMq/30s4ak9rCGhIhIF2tI6jFzn7CWPFd3T+4djYhPgZBSIGItD0YAQOGlno1aqCQ0F7fz3VEK03bJz7iaOFvWQFTurxUtJSM6tqKGUgXkOlAwRUREZAwGJFZWXSHG3oaENadQEw/A2xNmdfx1VupO+YUIEFLtzSSdCBRJ6nkqAkShXd1HjiZXZVw/jeXC/GZRlr4/qcm3hwmPr7IQERE5GwYktUBf7YGmqZMj0hS4Na5I6uZDlYdItbdgq65oCq5C8kKcVAcnTASE5KUelYy1VLUmHkAxCiza3xLRbBJJRET1CAOS2hCnWziPh7rfhSM94bw9AlYh3GC4/ZE1ApHamKSwunNZ4xgBohBJBRKK6iIQqSJOAkqyJARYMcg1lC/1NfCx5YhvtTVHDhERkT1iQGJljhh4VCcBAFI8UYwYndc012iNGegNFcA0I1XZC/UoR7FIKlDXilijn4i5FF7qviXWyJ/qavCsPQGnI6nLz3F9rGEkIiICGJBQNeQ264kAsEinwKSZndrSAquhoEOes6MKc5/YGzvPg6F9A0ShesheKcWmgYiWROsEJdUFlc4SXNs75jMREdVXDEioWrdH+tEd2cdaHW01++tt5qZS1zgFKG/Px4A882Z0NzedmrkfhORVe53WLaEJSiyoqdLkMxEREVFdY0BCBlWeEdqYwrwlgUmNzdzyYiFUElKFaTPFW9oMRlMrUicd1i2RWNGnpJ7293A2bL7lJDgaIRGRURiQkEHxqP3+A0YXvPySkSgAYIFJxzc3SFI30YqFiLfTWhE9FF6Am5PN4O2so7fVdE1V71u5dpAci4N8dxAR2RoDEqpWqpEFIXP7ZaQmG3f8XBUQ7yfMOIvpNDOuCynFqQsUjlLANfYesYa6qmEy+fOSF+uww4YTERHVhAEJGaTptB4P455Um1po1IxIZqxclXrW6ppYOoRwqihUByMOqChePS+KMZ3cHaETdTzqfk4Oc4Kf2q7JiZaS2ceHiIicliSEMOuxc35+PpRKJVQAfK2cKHsmiRjkGlEodgaV+5AkwPICrCWjXJlzLnPOE5Cs7iDu8DUjccDsROEQQYc11OW9VR8EiEL1IA5kdfkAlABUKhV8fevTrycRkWEMSExUnwISQF3TYMwEbQHK27UpjipACYiZThCMVJBEgU0n96srlWvDOJmgdTAgqT35sYAymQEJEVFlbLJFMk1Tp8pNT4wu4OUVGjVBYnVNW8xt8mKNDr8JUI9S5SzBCACUFHo5TD8RS2jmwqnPEzhSLbLmSFlxgNKXNyoRUVUMSEhbXqxZtRzRkqfctMvUEYRqWm8Mc2eL1wRhy4VkP5MdWonCS90fxtlZaz4coqpKC4DSedY7XmICgBc4FjARUVUMSEimLtQvMmvfqoXBhCr/Vv2/NeWqtGtyApLVTU4CRGzFUqhekm9PsBggYtFcSEgqkCBmSiiy93lGzJQAJ4uy6kh9qFmimim8YNUHFYkAcgrftd4BiYicBAMSAqCZAT0W8PO0uDBWubai8v+NfYqt6RNgTlOsBAAlz6lnVRdSSsXipV5i1cGHmClBSCkokioKG07UTKuquPi6G8rWWagDVgkBopCBCVlVUTygaG7rVBAR2R8GJASgInBISba4vbRmMkVN4GFOu35NbUflfRNgpaFVE+HUAYiORPVkiZxYzzgJUOdXPGIALNBpCsg8JIvUp+8eIiITMCCh22JikRAjGd05Xd+6gGTtyRQ1c5hontLr6zhvSNUaFX01LJpjOeuM3tZQJKlHD9PMT8J8ql6xPAHnIkSrtO+vACGhuZBY60RERGRFDEgIQMUoRVIy4v2ETq2GvgKsvqZXmknsqu6fmlzxlF4U4u04CSVZUo0zwFcNMCoHNpr+H8uEuvlVUoF6UTezkaBYXPP11juJFYGJqiIwYYFaL/m+TklGdMWQyamiEKlCPdhDvJ9AMWKQkCcxsCMiIrISzkNiImedhyRAxKqbbEEdVBjqpG7OSEaafQOEhLmFgLcn8JxU/aR9Cag0QlSKJ9xiJBTFg00erKS0AHDxLEC05MnRqSroC4DV9+ACIEV7pnRnn4jRqechiVOPnPWGp/rrpBgxuD2YxwK4IQVxAOYWQv1ww8rfOZwYkYhIF2tI6onbtQsGhoH1S1bXbugJRgB1Myxjh5BVj3IVKz+F1xwv3k/gX14CVwwEI7pPnBfIndGLJDAYsSKFFyAkLywXfNIPVAQfhmqN/LSDEcA6wwzbY77bY5qsJg5wF4CkVH8P5UoCz0kC0ZK6Nky9JOM5Sf3av7wEJKWAJGKQKGDd+UiIiEgLa0hMVFc1JAmonaevlhzX2H2rPmk29fgBSnUTL2cditfeJAogt4YaK2enrg2JhRtSUJwi5MA8QOn8s79rPneaoCxX5WQ1JHGAe4K6b5Alk2emKgHkxaKkMMWioYBZQ0JEpIs1JHZCX5+J2jhHqmZ+DjP6EBg7+aA5E9UFKG+nzZnnBbFHcRLUfXDqe4f3lGQUowCAut8T4HzBSOUBJjQ01xoPJ7veOPUDJOndipoQC69N08/uX17qWhPWmBARWQ8DEiuSm0WZWNhPgLpQYO5s4ybx84QbUsz7Mc2LtXqBVTMyl3puEPXcIWyaVfcUXoCIrRgYoB52eI8HkBsLuSM7oP05dpZATTMsd2VVm6M5g8SKplnRUrLFgYg+0VIypHcFm3IREVmJwtYJcHSVmzkAhufdMLYTbG011ZLPrQIgmdVKT+70bg5DBbrUZPXITwxC7EOcBMTFSZASYtSjrtk6QbYSUwjAE6iDwnptfub1ccr3tFJQICWoB2uIruVTRqvUTR2lZEDE8TuMiMgS7ENioqp9SBIALBeSUaNGAYYLA5rO5pontM5WaJCfNlcUHKIrCnqpIlZdK0J2pz72LdE0a3SDF4pRgNxKNSbWODbgGJ9th+tDYqV+IuZKFYUQ8V5GBSXsQ0JEpItNtiwUD/WPoMXNrfw8b8974GSjCmsKYtGqikAk8XYTNRHPYMReyX1L6lETrngA8PNUT47o52m1plqamlRHCEYcTWmBulbEGv1EzBUteUJSCjbfIiIyEwMSK9D8COoruFXurF5dYSRadbvAUlttus3p32IN8YD8Q61pw54Qo57UkM0c7JvCCyjJql9BSa7q9mKtAKKmDuPyTPA1TBhK2hIF4BIktPr+2Ep0LBiUEBGZiX1IrEXzI6RnvgLgdmHDUKEkHkB8LT/dq6sRdPS1ia8aZM0tBIMRB6HwAkoKJPzLq34136pL8lw9zjTKVW2LU89tZKtaEX2iYwFJFEDAuOZbRESkxhoSK9DUahiq2QhQqms/avOH056eqqbW8JQ3VcRaNI4/1T2FFxDASRSprhmqbYiDeuAFOwpGNKIlT0gJMbZOBhGRQ2FAUgc0zT9qkz09ua6uqUsA+404rDhJHUyao+o8O2yaZJ/q5D2xQpMmzShw9ipaSoa7mYMZEhHVRwxI6pA9BQ22kAAgIY/9RhyZiE9BgBnlwKoTZWqCVgYl9qPO3gsLP/+JAnYdjGgU+7E/CRGRsRiQUJ1JFYWI4wzsji1RPSCBpYXXABGLgIqR1upTh3l7VjVotEtxQHyKY1Q9RKvUo38REVHNGJDUQ7Z4Kp0AoKSQHUecgbrpVqFlB0lJrph8sHb7VpGNWVpDUKU2xT3h9hxGjiBa8lTP5k5ERNViQOLANCN3mSLA0oKkmZYLiR3ZnYiI9zKr6ZaGplAZbcWhdckOWbF5ZmkB8JzkeKV7R6nRISKyJQYkji7P+MeFCQDcUPdRQYASuGmbOIhqSyKAGPMfVccDyJU8GYzUsaqDC9QpC2tLXDwdc+Sq6FiwloSIqAYMSBxcAlKMLmDEQ/2EsS4LgQFKQMxk7YgzEvEp7P/hQDTzA1X9/CfAxoGKMeIA+Nl/R3ZD4lPYwZ2IqDoMSBxIdYUGU4KSuhStAhLtuqRDZkuESTV0ZFs1jWpWq98NcbCo+ZZ7gmP3NXKkfi9ERLbAgMSB6Hu6GY8Y+TV7lKoE4uw1cWSxBHBOGUei76PoCKNrFTtBPwxOlkhEZBgDEkdn780Y8go574gTi4vnsL2OQjMIRp29X1ZqolRa4CQ1DCnJbLZFRGQAAxIHFo/qZ0W3B7boRE91qEqzLbbOs1+pyajbJnaJBv5fmREFdG9PayTG9qJjgdJ5tk4FEZF9YkBCOswZTtjQcTi6lvNj53bz1HXwlhsL5ErJyLWjvhhSQgHca2iNVQznmVzQWYIrIiJrY0BC+uXFWlxgSlUCisVWSQ3ZOU2HY3uurbM3dZlXdRb8xMH4ZkkV21X70CIOgJ/zlOKdKbgiIrImBiSkIx5AtGSFvikWjqxDjiOVNSR2rc6Cn0QY/ZkvnQcgxbPG+UUceXQtHSnOE1wREVkTAxKqPRZMnEcOJBFmddZlf5P6TeEFiFgJIr4ejdSWCIBfi0REOhiQkF7WGArUjUPC1h8xhQwwapk1JzA0+RiWjg5V3f7V1Ki4O9lNFa0CSmfbOhVERPaHAUktc7LfU6MlgCNc1icJ8EJqsmn3O/ubmMaa84WYfBxLm16auX8xnG/ujrfZaouISAcDklpWnwtdcznCVv0Qp56gMzq2ft/vdaV+5fEiWyeAiIjqAAMSIrJYSSGb5xEZw86nsiUisgkGJFQrOORvPZIIvOFZ357cU53gqFRERPUCA5JaVF/7jxBVZq2O2OQE2LGMiIj0YEBSy1gQo/qA083UU6YGGLxRiIhIDwYktciao+LYUgKAABMnvotWAYmMxgjO8zkgPWo7wIjhyBhERPUBAxIyijmzJXOUrfqDLXHqgdp6k+OqO/aCWjqp7XBeRCIiXQxIqEbmPOGOB+DN/qhERqnaz8acWslaV1u1IYmGj+2Mk6vO5oMaIiIdClsnwNG4IQUByTYeuDERyDWjxsIUAUpY/ESULbacX2mBZoStGMwwcp8EAKkc+1SvVM1/YmIBLEKAjUaZcoOXTc5bVRyAeHu5VxJhlVqihW9bfgwiImcjCSGEOTvm5+dDqVRCBcDXyomi6iUKIFcSVm+XXzmAeDtOYgdUql4cIL0rTA6OE8D7y2riwHysK1bK63wASgAqlQq+vvz1JCICTGiyVVxcjPz8fK2lRvWhYbkNrjEuXj3Ph7VpmmalJoOFHKoZ75HaZcx3C9+DusO8JiKqNUYHJIsXL4ZSqZSXli1b1ryTPX2BV/1xj6v0ryVBhS2uMRFAXi12jYxht0syUn146FDXLP1OIiIicjBGN9kqLi5GcXGx/Hd+fj5atmwJVSzgay9tfG3BRk0mSguAf3lZv9kWADQXEoqkWjgwOR0pWSDXxPiVTbaoPmOTLSIiXUbXkLi5ucHX11drAQCYEozYw1O/OHVh3ipPIeMAKaFAfbw6plhcO822APt4m4hID9aeEBGRE6pfw/5W/JArFkN+OmtRMJEIiHgv9fHqiqZAYqURX6pKAOcPIbJr5tQsWeu7gsFQzZhHREQmqz+jbOlpWpVYceVxDto8SRIxyJXUVVQJAFJFIVB5mNCYWCAlGUi8PbFhTU282JyGTCEpax5lKwHa9x3vMarP2GSLiEhX/akh0VP4iYtXLyYz1EG+jiUgBQGiEMuEhKQCCULygoiVbi9SivrfmRLejlNvEyBiESAKEaDUP09IbTUDIydk5H1fG/2cnF2iAJ+0ExFRvWG9gMTRfjw1NSZmPKUtnad9HHcbzQAYJwFC8kKcBCiqm8es4joVXlAHKZKXHKQEiFh5lugAUQgxk0+uybo4QaaJ4iqaTdbh51DuV0fWxT4/RERGsU5AUtG5u7588b5RefLkRDjmiFQVQYqQUuTaEyF5MRghk0SbOCkiGafaBwzWFge4eMaY92Clnnznm6O0oMrDKyIiMshqNSQJqD+FWUftc2JQYh0XgKheYZMtE1X3PVpLAUACUlBkzhtVT77zzaHwqvheZR4REdXIOgFJogMW0vkjQWQR9wQGG3VNSiiAJG7XRlulr4nm+5vfiUREZCP1p1M7EVlVMWJsnYR6pbQAFaPoLZCH/a7rviZERES1gQEJEZknxZRZUckicYDLcvU45SI+RV6tWAz24yAiIoensHUCiMjxlBYA0ex3VGdK56nzO1UUAprmsawZISIiJ8EaEiIymbcn+4/UtdRkQMRXRIGaWpHKtSNx0OpfQkRE5CgYkJiLP/pUX8UBxX7C1qmoV7w9gYQY9RxBpQXqdZp/AcjzKiWA1VZEROR4GJCYi80lqJ5KTAByOf9InSqKV4+EVVpQ0W8kscqQsomAuwDi4qH/u4kPUIiIyI4xICEik8SjoOaNyLoqggydeS0qNd0qRozhByV8gEJERHaMAQkRGS1RANGSp62TQRXcEwDEqTu9Vx59SwtrR4iIyM4xIKmMP9xE1YqLB1JFLAKUtk4JIQ64Waj+L2cEJyIiR8aApDL+oBNVLxEQUgrETAkBnIbEPuhrwmXodSIiIjvEgISITJeoHvWJQYkN6Qs0GHyYJw6Ga8itXXMea+XjERE5AQYk1lTdjxqRk4mTgJLnJAQogQRbJ6aeUnCUX6uREgrgXnU064r+OdZUOtu6xyMicgYMSKwpEXxCSfWKwgsQMyWksqaEHFWlh0jFqDKxZKL1gz5Fc+sej4jIGTAgISLLJAJCJbGjOzmmRPXcOiWFXnDjxJJERDahsHUCiMgJJAIlBRJcggQnTSSHExev/rfItskgIqq3GJAQkVUovNRByb+8BCrKd3LfklQlEK26/f+3bZFAIkMSgdICwNtTPcGkQIpu89s4sEkuEVEtYUBSi9xFRT93ydYpIaobCi8gQEgIQAGABSgpTMEbnoCIv73N2wALdmRf4oA3PCu+r+P1BCMA71kiolrEgKQWxQGITxGIAyMSqj/iJCCuUlt8DjxHdi0OkJQCbpBQjBjEwcCM9zUoLeCoZ0RE5pKEEFUHOjRKfn4+lEolVAB8rZwoZ+IugCLGI0REdksSMXCrCESKEQMhmRGUGNmkKx+AEoBKpYKvL389iYgAjrJV6xiMEBHZsTgAWAQAKIoHSgrNqyG5fSwiIjIVAxIiIqq/EgERf7utlSXNrhI5QygRkVkYkBARUf2WqK4dsfQYcwvBWhIiIjOwUzsREdkHTWHeFiNaWeGccu0KhwgmIjIJa0iIiMg+OEsh3lmug4iojjAgISIi++FIhXk2zyIisgoGJEREROZwpOCJiMiOMSAhIiKyotICW6eAiMixMCAhIiKyIs7YTkRkGgYkRERERERkMwxIiIiIamJMB/Y4I7cjIiItDEiIiMh+2Guh3ogO7JypnYjIPJIQQpizY35+PpRKJVQAfK2cKCIiIgD2NcmgFdKSD0AJQKVSwdeXv55ERABrSExnj0/uiIiclb0EI4B9pYWIyIkwIDEVf5CIiKyqtAAWNdWSRAzchfn7ExGRbTEgISIim1IsrviPuQ98UpLxnCTYh4OIyEExICEiIttKhEW1z24xEgAg3k/UXS0Ja2OIiKxGYesEEBERWSpVCbjlSYBURydk810iIqthDQkRETmWKrUTNwuBkiwJRXUVjBARkVUxICEiIscRB0gJMVqrFF7qhYiIHBMDEiIichil8wARn2LrZBARkRWxD4mpNE0F2H6YiKjOsSaEiMj5MCAxFQMRIiIiIiKrYZMtIiIiIiKyGQYkRERERERkMwxIiIiIiIjIZhiQEBERERGRzTAgISKbKi2wdQqIiIjIlhiQEJHtxAFveEJn5m0iIiKqPyQhhDBnx/z8fCiVSqgA+Fo5UURERM4oH4ASgEqlgq8vfz2JiADWkBARERERkQ0xICEiIiIiIpthQEJERERERDbDgISIiIiIiGyGAQkREREREdkMAxIiIiIiIrIZBiRERERERGQzDEiIiIiIiMhmFMZuWFxcjOLiYvnv/Pz8WkkQERERERHVH0bXkCxevBhKpVJeWrZsWZvpIiIiIiKiekASQghjNtRXQ9KyZUuoAPjWVuqIiIicSD4AJQCVSgVfX/56EhEBJjTZcnNzg5ubW22mhYiIiIiI6hl2aiciIiIiIpthQEJERERERDbDgISIiOq3OFsngIiofmNAQkRE9VuirRNARFS/MSAhIiIiIiKbYUBCRPVPHNhMh4iIyE4YPewvEZHTYBMdMlFpAaDwsnUqiIicE2tIiIiIasBghIio9jAgISIiIiIim2GTLSIiIqozZWVlKCkpsXUyiKiWubi4oGHDhkZty4CEiIiIap0QAtnZ2cjLy7N1Uoiojvj5+SEwMBCSJFW7HQMSIiIiqnWaYKRp06bw9PSssYBCRI5LCIHCwkJcu3YNANC8efNqt2dAQkREZKk4oHQe8Ian+s9E7ZcwtxBQLEa9HeGtrKxMDkYaNWpk6+QQUR3w8PAAAFy7dg1NmzattvkWO7UTEZHzqq35ZuLUQwG7C0ASBZDeFfiXl0CupF6eq7TkSurXpHcFlKqZtZQg+6bpM+Lp6WnjlBBRXdJ85mvqN8aAhIiIHFOcOiBwF0BixVJaAO2JL61dIxEHSCJGDkCekwSiJU9Eq2reNVoFPKesp1UkFdhMi6h+MfYzzyZbRETkkKSEGERLyQCA3Ip1/6r4N1UJQMSipDDF8jlEKppjuXjGAH7JiK7fMQURkdUxICEiIoeTKCAHI/pEqwBIyfgXkpEqClFS6GVeYBIHSEqBaC8g2uzUEhFRddhki4iIHEscEO8njN48WvJU9+FIFuomXUZKFID0rkB0rBlpJCIiozEgISIixxEHSAkFRvXZqCo6FurARBTU2Nm9tEAd9JhzHqK6dO3aNUyfPh2tWrWCm5sbAgMDERERgUOHDgEAcnNzMXPmTISGhsLT0xOtWrXCCy+8AJWq+ps7KioKDz/8cB1cQe0YMGAAZs2apfW3JEmQJAlubm4IDg7GqFGjsGXLFtslkmQMSIiIyGG4J6hrPCwRLXlCUhquLXEX6sCFwQg5gjFjxuDkyZNYu3Ytzp49i+3bt2PAgAHIzVX3rMrKykJWVhZSUlJw+vRppKWlIT09HdOmTbNxyuve008/jStXruD8+fPYvHkzwsLCMH78eDzzzDO2Tlq9x4CEiIgcQqIAnpOMb6pVHU1tiXuVw0kixmrnIKpteXl5+O677/Dmm29i4MCBCAkJwb333ot58+Zh5MiRAIBOnTph8+bNGDVqFO6880488MADeO211/D555+jtLTU6HMNGDAAM2fOxKxZs+Dv749mzZrhP//5DwoKCvDkk0/Cx8cHd955J7744gt5n7KyMkybNg1t2rSBh4cHQkND8c4772gdt7S0FC+88AL8/PzQqFEjzJkzB1OmTNGqnRFCICkpCXfccQc8PDxw991347PPPjM5vzw9PREYGIiWLVuid+/eePPNN/H+++9j5cqV2LNnj8nHI+thQEJERHavtADIrYVA4TnpdhOumjrKE9kbb29veHt7Y9u2bSguLjZ6P5VKBV9fXygUpo1ttHbtWjRu3BhHjhzBzJkz8X//9394/PHH0bdvXxw/fhwRERGIjIxEYWEhAKC8vBwtWrTAxo0bcebMGcyfPx8vv/wyNm7cKB/zzTffxMcff4w1a9bgf//7H/Lz87Ft2zat88bFxWHNmjVYsWIFfvrpJ0RHR2PSpEk4cOCASenXZ8qUKfD392fTLRtjQEJERHbPuxbn09M04TKlozyRPVAoFEhLS8PatWvh5+eHfv364eWXX8apU6cM7pOTk4OEhARMnz7d5PPdfffdiIuLQ7t27TBv3jx4eHigcePGePrpp9GuXTvMnz8fOTk58vldXFywaNEi9OzZE23atMETTzyBqKgorYDk3Xffxbx58/DII4+gffv2WLp0Kfz8/OTXCwoK8Pbbb2P16tWIiIjAHXfcgaioKEyaNAnvv/++yddQVYMGDXDXXXfh4sWLFh+LzMeAhIiI7F4xTBgeywzRsWCfEXJIY8aMQVZWFrZv346IiAjs378f3bp1Q1pams62+fn5GDlyJMLCwrBgwQKTz9WlSxf5/w0bNkSjRo3QuXNneV2zZs0AqDvaa7z33nvo0aMHmjRpAm9vb6xcuRKXLl0CoK6puXr1Ku69916t43bv3l3++8yZMygqKsKQIUPkGiFvb298+OGHuHDhgsnXoI8QgpN22hjnISEiIrtWWgDArxarSIgcnLu7O4YMGYIhQ4Zg/vz5eOqpp7BgwQJERUXJ29y4cQPDhg2Dt7c3tm7dChcXF5PPU3UfSZK01mkK9eXl5QCAjRs3Ijo6Gm+99Rb69OkDHx8fJCcn4/vvv9c5TmVC3K6t1Bxr586dCA4O1trOzc3N5GuoqqysDOfOnUPPnj0tPhaZjwEJERHZNRfPGNZeEJkgLCxMqx9Gfn4+IiIi4Obmhu3bt8Pd3b1O0vHtt9+ib9++eO655+R1lWs1lEolmjVrhiNHjqB///4A1AHCiRMn0LVrV/la3NzccOnSJYSHh1s9jWvXrsX169cxZswYqx+bjMeAhIiIiMgB5eTk4PHHH8fUqVPRpUsX+Pj44IcffkBSUhJGjx4NQF0zMnToUBQWFuKjjz5Cfn4+8vPzAQBNmjRBw4YNay19bdu2xYcffogvv/wSbdq0wbp163D06FG0adNG3mbmzJlYvHgx2rZti/bt2+Pdd9/F9evX5VoTHx8fxMTEIDo6GuXl5bjvvvuQn5+PgwcPwtvbG1OmTDE6PYWFhcjOzkZpaSkuX76MLVu2IDU1Ff/3f/+HgQMHWv36yXgMSIiIyL6lcOQrIn28vb3Rq1cvpKam4sKFCygpKUHLli3x9NNP4+WXXwYAHDt2TG4i1bZtW639MzMz0bp161pL37PPPouMjAyMGzcOkiRhwoQJeO6557SGBp4zZw6ys7MxefJkNGzYEM888wwiIiK0AqWEhAQ0bdoUixcvxm+//QY/Pz9069ZNvkZjrVy5EitXroSrqysaNWqE7t27Y8OGDXjkkUesds1kHklUbqhngvz8fCiVSqgA+Fo5UURERBpSskB0rK1TYR3FyMdyKOVhV+uLoqIiZGZmok2bNnXWXIgcU3l5OTp06ICxY8ciISHB1skhCxn72WcNCRER2a3SAgBBtk4FEdWW33//HV999RXCw8NRXFyMpUuXIjMzExMnTrR10qgOcdhfIiKyW96eHI6XyJk1aNAAaWlp6NmzJ/r164fTp09jz5496NChg62TRnWINSRERGS3ihFj6yQQUS1q2bIl/ve//9k6GWRjrCEhIiK75YYUWyeBiIhqGQMSIiKyW0Xxtk4BERHVNgYkRERkvxKBVKWtE0FERLWJAQkREREREdkMAxIiIrJfcRxli4jI2TEgISIiIiIim2FAQkRE9isRSE22dSKo1khS3S5EZJcYkBAREREZcO3aNUyfPh2tWrWCm5sbAgMDERERgUOHDiE3NxczZ85EaGgoPD090apVK7zwwgtQqbTbGUqSJC8KhQKtWrXC7NmzUVxcbFQatmzZgiFDhqBJkybw9fVFnz598OWXX2pts3LlSvTv3x/+/v7w9/fH4MGDceTIEa1toqKi8PDDD2uty87OxsyZM3HHHXfAzc0NLVu2xKhRo/D111/L27Ru3RqSJOHw4cNa+86aNQsDBgww6hqMSR8ALF++HG3atIG7uzu6d++Ob7/9Vn6tpKQEc+bMQefOneHl5YWgoCBMnjwZWVlZes8phMDw4cMhSRK2bdum9dr169cRGRkJpVIJpVKJyMhI5OXl6T1OTk4OWrRoAUmSdLY5ffo0wsPD4eHhgeDgYLz66qsQQmhtU1xcjFdeeQUhISFwc3PDnXfeidWrV9ecaRU2b96MsLAwuLm5ISwsDFu3bjV6X33vuYax96/GM888g4YNG+LTTz81+vzGYkBCRET2Kw5Aoq0TQfXZmDFjcPLkSaxduxZnz57F9u3bMWDAAOTm5iIrKwtZWVlISUnB6dOnkZaWhvT0dEybNk3nOGvWrMGVK1eQmZmJ5cuXY926dUhMNO7m/uabbzBkyBDs2rULx44dw8CBAzFq1CicOHFC3mb//v2YMGEC9u3bh0OHDqFVq1YYOnQoLl++bPC4Fy9eRPfu3bF3714kJSXh9OnTSE9Px8CBAzFjxgytbd3d3TFnzhwjc02XMenbsGEDZs2ahVdeeQUnTpxA//79MXz4cFy6dAkAUFhYiOPHjyM+Ph7Hjx/Hli1bcPbsWTz00EN6z7lkyRJIBmrGJk6ciIyMDKSnpyM9PR0ZGRmIjIzUu+20adPQpUsXnfX5+fkYMmQIgoKCcPToUbz77rtISUnB22+/rbXd2LFj8fXXX2PVqlX49ddfsX79erRv396ofDt06BDGjRuHyMhInDx5EpGRkRg7diy+//57o/avjin3b2FhITZs2IDY2FisWrXK4nNXJYmqYZyR8vPzoVQqoQLga+VEERERAQDigNmJZv1M2aVi5GM5lFCpVPD1rT+/nkVFRcjMzJSffMvquhmViUWevLw8+Pv7Y//+/QgPDzdqn02bNmHSpEkoKCiAQqEAoK4h2bp1q9aT6mnTpiE7Oxs7d+40KU0aHTt2xLhx4zB//ny9r5eVlcHf3x9Lly7F5MmTAaiflufl5cm1BSNGjMCpU6fw66+/wsvLS2v/vLw8+Pn5AVDXkDz88MNYsWIFtm7dihEjRgBQ15BkZGRg//79JqdfX/p69eqFbt26YcWKFfJ2HTp0wMMPP4zFixfrPc7Ro0dx77334vfff0erVq3k9SdPnsSDDz6Io0ePonnz5lr5//PPPyMsLAyHDx9Gr169AACHDx9Gnz598MsvvyA0NFQ+zooVK7BhwwbMnz8fgwYNwvXr1+V8WbFiBebNm4erV6/Czc0NAPDGG2/g3XffxZ9//glJkpCeno7x48fjt99+Q0BAgMn5NG7cOOTn5+OLL76Q1w0bNgz+/v5Yv359jftXfc9rou/+BYC1a9fivffeQ3p6Opo3b44zZ86gdevWNR7P4Ge/CtaQEBGRXeM8JGQr3t7e8Pb2xrZt24xuXqUJNisX5qo6e/Ys9u3bJxeGTVVeXo4bN25UW8AtLCxESUmJwW1yc3ORnp6OGTNm6AQjAORCt0br1q3x7LPPYt68eSgvLzcr3dWl759//sGxY8cwdOhQre2GDh2KgwcPGjyOSqWCJEla6S0sLMSECROwdOlSBAYG6uxz6NAhKJVKrfzv3bs3lEql1rnOnDmDV199FR9++CEaNNAtMh86dAjh4eFyMAIAERERyMrKwsWLFwEA27dvR48ePZCUlITg4GDcddddiImJwa1bt6rPoErnqJonERER1eaJJQzdv6tWrcKkSZOgVCoxYsQIrFmzxqrnZUBCRER2jcP+kq0oFAqkpaVh7dq18PPzQ79+/fDyyy/j1KlTerfPyclBQkICpk+frvPahAkT4O3tDXd3d4SGhqJjx46YN2+eWel66623UFBQgLFjxxrcZu7cuQgODsbgwYP1vn7+/HkIIYxuOgQAcXFxyMzMxMcff2xymmtK399//42ysjI0a9ZMa7tmzZohOztb7zGKioowd+5cTJw4UavGMTo6Gn379sXo0aP17pednY2mTZvqrG/atKl8ruLiYkyYMAHJyclaNS9Vj6MvvZrXAOC3337Dd999hx9//BFbt27FkiVL8Nlnn+k0iTPE0DkM5YklDN2/586dw+HDhzFu3DgAwKRJk7BmzRqrBKYaDEiIiMhuJSbYOgVU340ZMwZZWVnYvn07IiIisH//fnTr1g1paWla2+Xn52PkyJEICwvDggULdI6TmpqKjIwMnDx5Ejt27MDZs2cN9lmozvr167Fw4UJs2LBBb6EaAJKSkrB+/Xps2bLFYDMZTYt9Q30s9GnSpAliYmIwf/58/PPPPyan3Zj0VU2PEEJvGktKSjB+/HiUl5dj+fLl8vrt27dj7969WLJkSbVp0HfMyueaN28eOnTogEmTJpl0nKr5Wl5eDkmS8PHHH+Pee+/FiBEj8PbbbyMtLc3oWhJj88QS1d2/q1atQkREBBo3bgxA3dSvoKAAe/bssdr5GZAQEZHdikeMrZNABHd3dwwZMgTz58/HwYMHERUVpVVou3HjBoYNGwZvb29s3boVLi4uOscIDAxE27ZtERoaipEjR2LRokXYsGEDzp8/b3Q6NmzYgGnTpmHjxo0Gaz5SUlLw+uuv46uvvtLbEVujXbt2kCQJP//8s9HnB4DZs2fj1q1bWkGAKQylr3HjxmjYsKHOk/9r167p1BCUlJRg7NixyMzMxO7du7VqR/bu3YsLFy7Az88PCoVCbno0ZswYeUSwwMBAXL16VSdtf/31l3yuvXv3YtOmTfIxBg0aJKdT894HBgbqTS9wu6akefPmCA4OhlJ5u+1phw4dIITAn3/+WWN+GTpH1TyxRHX3b1lZGT788EPs3LlTzgtPT0/k5uZatXM7AxIiIiIiE4SFhaGgoACA+sny0KFD4erqiu3bt1fbcbeyhg0bAoDRT8nXr1+PqKgofPLJJxg5cqTebZKTk5GQkID09HT06NGj2uMFBAQgIiICy5Ytk6+lMkND4Hp7eyM+Ph6vvfYa8vPzjUq7MelzdXVF9+7dsXv3bq31u3fvRt++feW/NcHIuXPnsGfPHjRq1Ehr+7lz5+LUqVPIyMiQF0BdQ6Xp99CnTx+oVCqtYYe///57qFQq+VybN2/GyZMn5WN88MEHAIBvv/1Wbm7Vp08ffPPNN1q1RV999RWCgoLkDt/9+vVDVlYWbt68KW9z9uxZNGjQAC1atKgxz/r06aOTJ1999ZVWnliipvt3165duHHjBk6cOKGVp5s2bcK2bduQk5NjlXQY7nFFRJbhcKVEFispTAEKUuDtCTwnOc9oW+QYcnJy8Pjjj2Pq1Kno0qULfHx88MMPPyApKQmjR4/GjRs3MHToUBQWFuKjjz5Cfn6+XEhv0qSJHHQA6gJ+dnY2ysvLce7cObz66qu466670KFDhxrTsX79ekyePBnvvPMOevfuLT8x9/DwkJ+8JyUlIT4+Hp988glat24tb6PpmK/P8uXL0bdvX9x777149dVX0aVLF5SWlmL37t1YsWKFwdqTZ555BqmpqVi/fr3RHfONSd/s2bMRGRmJHj16oE+fPvjPf/6DS5cu4dlnnwUAlJaW4rHHHsPx48exY8cOlJWVyccJCAiAq6srAgMD9XZkb9WqFdq0aQNAXUMxbNgwPP3003j//ffla3rwwQflEbbuvPNOrf3//vtveV9NB/qJEydi0aJFiIqKwssvv4xz587h9ddfx/z58+UmVRMnTkRCQgKefPJJLFq0CH///TdiY2MxdepUeHh41JhvL774Iu6//368+eabGD16NP773/9iz549+O6774zKd0DdUV0TmGkEBATA39+/xvt31apVGDlyJO6++26t/Tt27IhZs2bho48+wosvvmh0WgwSZlKpVAKAUKkH0ePChQsXLlxqbUkQENEQDr88h4rfTpXK3J9fh3Tr1i1x5swZcevWLVsnxSRFRUVi7ty5olu3bkKpVApPT08RGhoq4uLiRGFhodi3b58AoHfJzMyUj1N5vSRJonnz5mLcuHHiwoULRqUjPDxc7zmmTJkibxMSEqJ3mwULFsjbREZGijFjxmgdOysrS8yYMUOEhIQIV1dXERwcLB566CGxb98+rWOnpqZq7ffJJ58IACI8PNyoazAmfUIIsWzZMjkt3bp1EwcOHJBfy8zMNJjfldNbFQCxdetWrXU5OTniiSeeED4+PsLHx0c88cQT4vr16waPoXmvq25z6tQp0b9/f+Hm5iYCAwPFwoULRXl5udY2P//8sxg8eLDw8PAQLVq0ELNnzxaFhYXVZZeWTZs2idDQUOHi4iLat28vNm/ebPS+U6ZMMXjv1HT/ZmdnC4VCITZu3Kj32DNnzhSdO3eu9vzGfvY5DwlRXYqr+NcWNSessSEH5i6co4aE85BUPxcB1a5hw4ahbdu2WLp0qa2TQvUE5yEhslOl5o3yaDkGI+SgSguAYj/HD0aIbOX69evYuXMn9u/fb7AzPJEtMSAhqkuJgEJ3/ikCbtceEVWhWAzeH+TUOnbsKPelqLpYY86PqVOnYvr06XjppZcMzs1hKUPp9/b2xrffflsr53QGluTbpUuXqt3/0qVLdXQVlmOndiIyTpy6dqfWAirW4JABpfMAeMYCscm2TgpRrdi1axdKSkr0vmaN4V23bt1q8TFqUrXTdGXBwcG1fn5HZUm+BQUFVbt/UFCQmamqewxIiGpb5Se7jlzoTuQXBtmGtyeAFAYj5LxCQkJsnQSLtW3b1tZJcEiW5JtCoXCafGf5gqi2OXIQUpUzXQs5jKJ4QHrX1qkgIqLawoCEiIjsVmkB8IYnAAYkREROi53aiYjIbikWq/91y5NsmxAiIqo1DEiIiMh+JQJxkrrZVqrS1okhIqLawICEiIjsns3m7yEiolrHPiRERGTf4gAXzwJEq6x3SLm2JQ7yYA3WPD4ZKb6Om+IlcIJNInvEGhIiIrJfcYCUUACkeNbYZCtVqWcRhQgQEgKEhKQC9fJ2nAQxU4JQSRCxFf+fKSGVIwuTHteuXcP06dPRqlUruLm5ITAwEBERETh06BByc3Mxc+ZMhIaGwtPTE61atcILL7wAlUo7upUkSV4UCgVatWqF2bNno7i42Kg0bNmyBUOGDEGTJk3g6+uLPn364Msvv9TaZuXKlejfvz/8/f3h7++PwYMH48iRI1rbREVF4eGHH9Zal52djZkzZ+KOO+6Am5sbWrZsiVGjRuHrr7+Wt2ndujUkScLhw4e19p01axYGDBhg1DUYkz4AWL58Odq0aQN3d3d0795da3LAkpISzJkzB507d4aXlxeCgoIwefJkZGVl6T2nEALDhw+HJEnYtm2b1mvXr19HZGQklEollEolIiMjkZeXJ7+ek5ODYcOGISgoSM6X559/Hvn5+fI2+/fvx+jRo9G8eXN4eXmha9euOhNZRkVFab3/mqVjx45G5RsAbN68GWFhYXBzc0NYWJhJ88roe881jL1/NZ555hk0bNgQn376qdHnNxYDEiIismsi3ksOHFJFYUWgESsHGZqAQxNYiJkSEvLU/5YUeiFOUvdDUXhVTOyZCO0hrCv+LnmOHedJ15gxY3Dy5EmsXbsWZ8+exfbt2zFgwADk5uYiKysLWVlZSElJwenTp5GWlob09HRMmzZN5zhr1qzBlStXkJmZieXLl2PdunVITDRuLPVvvvkGQ4YMwa5du3Ds2DEMHDgQo0aNwokTJ+Rt9u/fjwkTJmDfvn04dOgQWrVqhaFDh+Ly5csGj3vx4kV0794de/fuRVJSEk6fPo309HQMHDgQM2bM0NrW3d0dc+bMMTLXdBmTvg0bNmDWrFl45ZVXcOLECfTv3x/Dhw+XZxwvLCzE8ePHER8fj+PHj2PLli04e/YsHnroIb3nXLJkCSRJ/+d64sSJyMjIQHp6OtLT05GRkYHIyEj59QYNGmD06NHYvn07zp49i7S0NOzZswfPPvusvM3BgwfRpUsXbN68GadOncLUqVMxefJkfP755/I277zzDq5cuSIvf/zxBwICAvD4448blW+HDh3CuHHjEBkZiZMnTyIyMhJjx47F999/b9T+1THl/i0sLMSGDRsQGxuLVatWWXzuqiQhhFn1l/n5+VAqlVAB8LVyooiIiPSKA9wT1J3ca2NeHEnEIFqqvaqSYuRjOZRQqVTw9a0/v55FRUXIzMyUn3zL7LzJVl5eHvz9/bF//36Eh4cbtc+mTZswadIkFBQUQKFQt4yXJAlbt27VelI9bdo0ZGdnY+fOnSalSaNjx44YN24c5s+fr/f1srIy+Pv7Y+nSpZg8eTIA9dPyvLw8ubZgxIgROHXqFH799Vd4eXlp7Z+Xlwc/Pz8A6hqShx9+GCtWrMDWrVsxYsQIAOoakoyMDOzfv9/k9OtLX69evdCtWzesWLFC3q5Dhw54+OGHsXjxYr3HOXr0KO699178/vvvaNWqlbz+5MmTePDBB3H06FE0b95cK/9//vlnhIWF4fDhw+jVqxcA4PDhw+jTpw9++eUXhIaG6j3Xv//9byQnJ+OPP/4weF0jR45Es2bNsHr1ar2vb9u2DY8++igyMzONmhBz3LhxyM/PxxdffCGvGzZsGPz9/bF+/foa96/6ntdE3/0LAGvXrsV7772H9PR0NG/eHGfOnEHr1q1rPJ7Bz34VrCEhIiLHkQgUSai1STpFfAqbbpHM29sb3t7e2LZtm9HNqzTBZuXCXFVnz57Fvn375MKwqcrLy3Hjxg0EBAQY3KawsBAlJSUGt8nNzUV6ejpmzJihE4wAkIMRjdatW+PZZ5/FvHnzUF5ebla6q0vfP//8g2PHjmHo0KFa2w0dOhQHDx40eByVSgVJkrTSW1hYiAkTJmDp0qUIDAzU2efQoUNQKpVa+d+7d28olUqD58rKysKWLVtqDExVKlW178uqVaswePBgo4IRTVqr5klERES1eWIJQ/fvqlWrMGnSJCiVSowYMQJr1qyx6nmNDkiKi4uRn5+vtRARETkVNt2iShQKBdLS0rB27Vr4+fmhX79+ePnll3Hq1Cm92+fk5CAhIQHTp0/XeW3ChAnw9vaGu7s7QkND0bFjR8ybZ97wcW+99RYKCgowduxYg9vMnTsXwcHBGDx4sN7Xz58/DyEE2rdvb/R54+LikJmZqdNPwhxV0/f333+jrKwMzZo109quWbNmyM7O1nuMoqIizJ07FxMnTtSqcYyOjkbfvn0xevRovftlZ2ejadOmOuubNm2qc64JEybA09MTwcHB8PX1xQcffGDwmj777DMcPXoUTz75pN7Xr1y5gi+++AJPPfWUwWPoS6speWIJQ/fvuXPncPjwYYwbNw4AMGnSJKxZs8YqgamG0QHJ4sWL5Y4/SqUSLVu2tFoiiMhBxdk6AUTWp/AClgsGJaQ2ZswYZGVlYfv27YiIiMD+/fvRrVs3pKWlaW2Xn5+PkSNHIiwsDAsWLNA5TmpqKjIyMnDy5Ens2LEDZ8+e1eqzYKz169dj4cKF2LBhg95CNQAkJSVh/fr12LJli8FmMpoW+4b6WOjTpEkTxMTEYP78+fjnn39MTrsx6auaHiGE3jSWlJRg/PjxKC8vx/Lly+X127dvx969e7FkyZJq06DvmPrOlZqaiuPHj2Pbtm24cOECZs+erfd4+/fvR1RUFFauXGmww3paWhr8/PwMdjI3Nq2G8sQS1d2/q1atQkREBBo3bgxA3dSvoKAAe/bssdr5jQ5I5s2bB5VKJS/VtZ8jovqhdB7sJyiJg/2khRxekQQkFUicjJEAqDt0DxkyBPPnz8fBgwcRFRWlVWi7ceMGhg0bBm9vb2zduhUuLi46xwgMDETbtm0RGhqKkSNHYtGiRdiwYQPOnz9vdDo2bNiAadOmYePGjQZrPlJSUvD666/jq6++QpcuXQweq127dpAkCT///LPR5weA2bNn49atW1pBgCkMpa9x48Zo2LChzpP/a9eu6dQQlJSUYOzYscjMzMTu3bu1akf27t2LCxcuwM/PDwqFQm56NGbMGHlEsMDAQFy9elUnbX/99ZfOuQIDA9G+fXuMHj0a77//PlasWIErV65obXPgwAGMGjUKb7/9ttwfpiohBFavXo3IyEi4urrWkEva5zcmTyxR3f1bVlaGDz/8EDt37pTz09PTE7m5uVbt3G50QOLm5gZfX1+thYjqN3nEIntQdeQkIgspvCCP7EVUWVhYGAoKCgConywPHToUrq6u2L59e7Uddytr2LAhAODWrVtGbb9+/XpERUXhk08+wciRI/Vuk5ycjISEBKSnp6NHjx7VHi8gIAARERFYtmyZfC2VVR4CtzJvb2/Ex8fjtddeM7n5fnXpc3V1Rffu3bF7926t9bt370bfvn3lvzXByLlz57Bnzx40atRIa/u5c+fi1KlTyMjIkBdAXdOh6ffQp08fqFQqrWGHv//+e6hUKq1zVaWpVarcn2j//v0YOXIk3njjDTzzzDMG9z1w4ADOnz+vdwSr6vTp00cnT7766qtq02mKmu7fXbt24caNGzhx4oRWnm7atAnbtm1DTk6OVdLBiRGJyDoqTTBH5DQSAQEvSKIA0ZKnrVNDdSwnJwePP/44pk6dii5dusDHxwc//PADkpKSMHr0aNy4cQNDhw5FYWEhPvroI60+tk2aNJGDDkBdwM/OzkZ5eTnOnTuHV199FXfddRc6dOhQYzrWr1+PyZMn45133kHv3r3lJ+YeHh5QKtXVeElJSYiPj8cnn3yC1q1by9toOubrs3z5cvTt2xf33nsvXn31VXTp0gWlpaXYvXs3VqxYYbD25JlnnkFqairWr19vdMd8Y9I3e/ZsREZGokePHujTpw/+85//4NKlS/JQu6WlpXjsscdw/Phx7NixA2VlZfJxAgIC4OrqisDAQL0d2Vu1aoU2bdoAUI/cNWzYMDz99NN4//335Wt68MEH5RG2du3ahatXr6Jnz57w9vbGmTNn8K9//Qv9+vWTR5fSBCMvvvgixowZI6fF1dVVp2P7qlWr0KtXL3Tq1Mmo/NJ48cUXcf/99+PNN9/E6NGj8d///hd79uzBd999Z/QxVCqVHJhpBAQEwN/fv8b7d9WqVRg5ciTuvvturf07duyIWbNm4aOPPsKLL75o0jXpJcykUqkEAKEChODChUv9XuLsIA1cuNTy4iYgoiEsWp5DxW+nSmXuz69DunXrljhz5oy4deuWrZNikqKiIjF37lzRrVs3oVQqhaenpwgNDRVxcXGisLBQ7Nu3TwDQu2RmZsrHqbxekiTRvHlzMW7cOHHhwgWj0hEeHq73HFOmTJG3CQkJ0bvNggUL5G0iIyPFmDFjtI6dlZUlZsyYIUJCQoSrq6sIDg4WDz30kNi3b5/WsVNTU7X2++STTwQAER4ebtQ1GJM+IYRYtmyZnJZu3bqJAwcOyK9lZmYazO/K6a0KgNi6davWupycHPHEE08IHx8f4ePjI5544glx/fp1+fW9e/eKPn36CKVSKdzd3UW7du3EnDlztLaZMmWK3rRUzZO8vDzh4eEh/vOf/xiVV1Vt2rRJhIaGChcXF9G+fXuxefNmo/c1lMYpU6bUeP9mZ2cLhUIhNm7cqPfYM2fOFJ07d672/MZ+9jkPCRFZzp5qR+wpLeR0SgsAlyCBaP0TGdeI85BUPxcB1a5hw4ahbdu2WLp0qa2TQvUE5yEhorpjTwGAPaWFnI7CCyjJYmd3cizXr1/Hzp07sX//foOd4YlsiQEJEVlPnPoJss1xtC2qRezsTtbWsWNHuS9F1cUac35MnToV06dPx0svvWRwbg5LGUq/t7c3vv3221o5pzOwJN8uXbpU7f6XLl2qo6uwHDu1E5HVJCao/2U8QE5P7uweA/glm92EiwhQd6AuKSnR+5o1hnfdunWrxceoSdVO05UFBwfX+vkdlSX5FhQUVO3+QUFBZqaq7rEPCRGZRhNt6GsaZUz/jTj1/CWKxUZsS+QASgsAF0/jRuFiHxL2ISGqT9iHhIhqj6FAwpgAI9HO5i8hspDCCxCSFwIE+5YQEZmDAQkREZEVxEnqviVJBRJSk/Vvs7z+VIoQERmNAQkRmcYOazZKC6BuLsbOK2RrFTWAQiVhuVB3fE8VhQgQEt6Ok6CazioUIqKq2KmdiOxWaYGJfU3sMFiieioRKEoEAC9bp4SIyO6xhoSI7JZiMSAlxNQ4lLBCU+ZjDQkREZHDYQ0JEdlOTaNyJQIiMcW6xyQiu1FWKNXp+Rp6mjWwKBHVMtaQEJFlqtZKmFJLYc3AIbHSQkRkJdeuXcP06dPRqlUruLm5ITAwEBERETh06BByc3Mxc+ZMhIaGwtPTE61atcILL7wAlUp7YhpJkuRFoVCgVatWmD17NoqLi41Kw5YtWzBkyBA0adIEvr6+6NOnD7788kutbVauXIn+/fvD398f/v7+GDx4MI4cOaK1TVRUFB5++GGtddnZ2Zg5cybuuOMOuLm5oWXLlhg1ahS+/vpreZvWrVtDkiQcPnxYa99Zs2ZhwIABRl2DMekDgOXLl8tDxHbv3l1rcsCSkhLMmTMHnTt3hpeXF4KCgjB58mRkZWXpPacQAsOHD4ckSdi2bZvWa9evX0dkZCSUSiWUSiUiIyORl5cnv56Tk4Nhw4YhKChIzpfnn38e+fn5Wsc5ffo0wsPD4eHhgeDgYLz66quoPKNGVFSU1vuvWTp27GhUvgHA5s2bERYWBjc3N4SFhZk0r4y+91zD2PtX45lnnkHDhg3x6aefGn1+YzEgISLDjAkuqgkA7GLWdiIiC4wZMwYnT57E2rVrcfbsWWzfvh0DBgxAbm4usrKykJWVhZSUFJw+fRppaWlIT0/HtGnTdI6zZs0aXLlyBZmZmVi+fDnWrVuHxETjnqB88803GDJkCHbt2oVjx45h4MCBGDVqFE6cOCFvs3//fkyYMAH79u3DoUOH0KpVKwwdOhSXL182eNyLFy+ie/fu2Lt3L5KSknD69Gmkp6dj4MCBmDFjhta27u7umDNnjpG5psuY9G3YsAGzZs3CK6+8ghMnTqB///4YPny4PON4YWEhjh8/jvj4eBw/fhxbtmzB2bNn8dBDD+k955IlSyBJ+mvhJk6ciIyMDKSnpyM9PR0ZGRmIjIyUX2/QoAFGjx6N7du34+zZs0hLS8OePXvw7LPPytvk5+djyJAhCAoKwtGjR/Huu+8iJSUFb7/9trzNO++8gytXrsjLH3/8gYCAADz++ONG5duhQ4cwbtw4REZG4uTJk4iMjMTYsWPx/fffG7V/dUy5fwsLC7FhwwbExsZi1apVFp9bhzCTSqUSAIQKEIJLvVlKCiBEnO3TwaUWFyu9v7xXuHDRXVSAACBUKpW5P78O6datW+LMmTPi1q1bWutLC1Cni6muX78uAIj9+/cbvc/GjRuFq6urKCkpkdcBEFu3btXaburUqWLEiBEmp0kjLCxMLFq0yODrpaWlwsfHR6xdu1ZeN2XKFDF69Gj57+HDh4vg4GBx8+ZNnf2vX78u/z8kJES8+OKLwtXVVezcuVNe/+KLL4rw8HCz0q8vfffee6949tlntbZr3769mDt3rsHjHDlyRAAQv//+u9b6jIwM0aJFC3HlyhWd/D9z5owAIA4fPiyvO3TokAAgfvnlF4Pneuedd0SLFi3kv5cvXy6USqUoKiqS1y1evFgEBQWJ8vJyvcfYunWrkCRJXLx40eB5Khs7dqwYNmyY1rqIiAgxfvx4o/av+p7XRN/9K4QQaWlponfv3iIvL094eHiIzMxMo45n6LNfFWtIyCSc0K4esNL7y3uFiBydt7c3vL29sW3bNqObV6lUKvj6+kKhMNxN9+zZs9i3bx969eplVrrKy8tx48YNBAQEGNymsLAQJSUlBrfJzc1Feno6ZsyYAS8v3dHg/Pz8tP5u3bo1nn32WcybNw/l5eVmpbu69P3zzz84duwYhg4dqrXd0KFDcfDgQYPHUalUkCRJK72FhYWYMGECli5disDAQJ19Dh06BKVSqZX/vXv3hlKpNHiurKwsbNmyBeHh4VrHCQ8Ph5ubm7wuIiICWVlZuHjxot7jrFq1CoMHD0ZISIjBa6qa1qp5EhERUW2eWMLQ/btq1SpMmjQJSqUSI0aMwJo1a6x6XgYkRERERHooFAqkpaVh7dq18PPzQ79+/fDyyy/j1KlTerfPyclBQkICpk+frvPahAkT4O3tDXd3d4SGhqJjx46YN2+eWel66623UFBQgLFjxxrcZu7cuQgODsbgwYP1vn7+/HkIIdC+fXujzxsXF4fMzEx8/PHHJqe5pvT9/fffKCsrQ7NmzbS2a9asGbKzs/Ueo6ioCHPnzsXEiRPh63t71tHo6Gj07dsXo0eP1rtfdnY2mjZtqrO+adOmOueaMGECPD09ERwcDF9fX3zwwQdax9GXXs1rVV25cgVffPEFnnrqKb3pMpRWU/LEEobu33PnzuHw4cMYN24cAGDSpElYs2aNVQJTDQYkRERERAaMGTMGWVlZ2L59OyIiIrB//35069YNaWlpWtvl5+dj5MiRCAsLw4IFC3SOk5qaioyMDJw8eRI7duzA2bNntfosGGv9+vVYuHAhNmzYoLdQDQBJSUlYv349tmzZAnd3d73bCCEAwGAfC32aNGmCmJgYzJ8/H//884/JaTcmfVXTI4TQm8aSkhKMHz8e5eXlWL58ubx++/bt2Lt3L5YsWVJtGvQdU9+5UlNTcfz4cWzbtg0XLlzA7Nmza0yvoeOnpaXBz8/PYCdzY9NqKE8sUd39u2rVKkRERKBx48YAgBEjRqCgoAB79uyx2vkZkBBR3TJ1RvU4GL8PZ2snolrg7u6OIUOGYP78+Th48CCioqK0Cm03btzAsGHD4O3tja1bt8LFxUXnGIGBgWjbti1CQ0MxcuRILFq0CBs2bMD58+eNTseGDRswbdo0bNy40WDNR0pKCl5//XV89dVX6NKli8FjtWvXDpIk4eeffzb6/AAwe/Zs3Lp1SysIMIWh9DVu3BgNGzbUefJ/7do1nRqCkpISjB07FpmZmdi9e7dW7cjevXtx4cIF+Pn5QaFQyE2PxowZI48IFhgYiKtXr+qk7a+//tI5V2BgINq3b4/Ro0fj/fffx4oVK3DlyhX5NX3pBaBzHCEEVq9ejcjISLi6utaYT5XPb0yeWKK6+7esrAwffvghdu7cKeenp6cncnNzrdq5nQEJEdUtE4bmdReA9K5A6Twj9+Gwv0RUB8LCwlBQoB5GMD8/H0OHDoWrqyu2b99usEaiqoYNGwIAbt26ZdT269evR1RUFD755BOMHDlS7zbJyclISEhAeno6evToUe3xAgICEBERgWXLlsnXUlnlIXAr8/b2Rnx8PF577TWdIXBrUl36XF1d0b17d+zevVtr/e7du9G3b1/5b00wcu7cOezZsweNGjXS2n7u3Lk4deoUMjIy5AVQ13Ro+j306dMHKpVKa9jh77//HiqVSutcVWlqPzT9ifr06YNvvvlGq7boq6++QlBQEFq3bq2174EDB3D+/Hm9I1hVp0+fPjp58tVXX1WbTlPUdP/u2rULN27cwIkTJ7TydNOmTdi2bRtycnKskg7Th5yowFG2uHDhYo3F4GhccRAQBSJBmHFcju7FxU4XjrLlWKNs/f3332LgwIFi3bp14uTJk+K3334TGzduFM2aNRNTp04V+fn5olevXqJz587i/Pnz4sqVK/JSWloqHweAWLNmjbhy5Yq4fPmy2L9/v+jUqZO46667dEYz0ueTTz4RCoVCLFu2TOsceXl58jZvvvmmcHV1FZ999pnWNjdu3JC3qTri0m+//SYCAwNFWFiY+Oyzz8TZs2fFmTNnxDvvvCPat28vbxcSEiJSU1Plv//55x9x5513Cnd3d6NH2TImfZ9++qlwcXERq1atEmfOnBGzZs0SXl5e8ohUJSUl4qGHHhItWrQQGRkZWscpLi42eG5Ad5SzYcOGiS5duohDhw6JQ4cOic6dO4sHH3xQfn3nzp1i9erV4vTp0yIzM1Ps3LlTdOzYUfTr10/eJi8vTzRr1kxMmDBBnD59WmzZskX4+vqKlJQUnTRMmjRJ9OrVy6i8qux///ufaNiwoXjjjTfEzz//LN544w2hUCi0RgirzpQpU8SAAQPEiRMntJbff//dqPt39OjRYty4cTrHLS8vF8HBwWLJkiXVnt/YUbZM/3RWYEDChQsXi5c4CCQLARFj3SCi6rEYoHCxk4UBSfWFEntTVFQk5s6dK7p16yaUSqXw9PQUoaGhIi4uThQWFop9+/YJVLynVZfKw6JWXi9JkmjevLkYN26cuHDhglHpCA8P13uOKVOmyNuEhITo3WbBggXyNpGRkWLMmDFax87KyhIzZswQISEhwtXVVQQHB4uHHnpI7Nu3T+vYlQMSIdRBEgCjAxJj0ieEEMuWLZPT0q1bN3HgwAH5tczMTIP5XTm9VekLSHJycsQTTzwhfHx8hI+Pj3jiiSe0hjreu3ev6NOnj1AqlcLd3V20a9dOzJkzR2sbIYQ4deqU6N+/v3BzcxOBgYFi4cKFOkP+aobK/c9//mNUXlW1adMmERoaKlxcXET79u3F5s2bjd53ypQpBu+dmu7f7OxsoVAoxMaNG/Uee+bMmaJz587Vnt/Yz74khBDm1Kzk5+dDqVRCBcC3xq2JiCqJA9wTgGLEIAEp6lWSeiJFhe7ok1r7sUkWObJ8AErcHlqzvigqKkJmZqY8AzfZxrBhw9C2bVssXbrU1kmhesLYzz77kBBRnUusCEbglwxAHYwANQQjAIMRIiIzXL9+HTt37sT+/fsNdoYnsiUGJHQbRyeiOjK3EIBfMqJVQDxibJ0cIiKb6tixozwJY9XFGnN+TJ06FdOnT8dLL71kcG4OSxlKv7e3N7799ttaOaczsCTfLl26VO3+ly5dqqOrsJzhaUSp3klMqIhJ+BSaapnCCygpkPCGJyDibZ0aIiLb2rVrF0pKSvS+Zo3hXbdu3WrxMWqiGc1Kn+Dg4Fo/v6OyJN+CgoKq3T8oKMjMVNU9BiQki0cM4ira8xPVNoUXK+WIiAAgJCTE1kmwWNu2bW2dBIdkSb4pFAqnyXc22SKZiE9h7QjZjzh1J/fKkx2WVh0qnxENERGRw2MNCd3GYITsSOk8wMWzACXzvNSd3eMAb0+gyNYJIyIiIqtiDQkR2Y9KNR4KL0BIXrdH3koEiqQq2zOIJiIicngMSIjIfjDAICIiqncYkJB+jtQ2v6KPQaIApGSh28+AiIiIiOwW+5CQY4pTD1McXzG5XrQKQCIQDQDP2ThtRERklNdQtR1m7XoFok7PR0TGYQ0J6ZeornGwK3GAe0UtiPSuQK4kEC1VBCNERES14Nq1a5g+fTpatWoFNzc3BAYGIiIiAocOHUJubi5mzpyJ0NBQeHp6olWrVnjhhRegUmn/MEmSJC8KhQKtWrXC7NmzUVxcbFQatmzZgiFDhqBJkybw9fVFnz598OWXX2pts3LlSvTv3x/+/v7w9/fH4MGDceTIEa1toqKi8PDDD2uty87OxsyZM3HHHXfAzc0NLVu2xKhRo/D111/L27Ru3RqSJOHTTz/VSVvHjh0hSRLS0tJqvA5j8+v69euIjIyEUqmEUqlEZGQk8vLy5NdPnjyJCRMmoGXLlvDw8ECHDh3wzjvvGDzv+fPn4ePjAz8/P53XDhw4gO7du8Pd3R133HEH3nvvPa3Xt2zZgh49esDPzw9eXl7o2rUr1q1bp7XN4sWL0bNnT/j4+KBp06Z4+OGH8euvv2ptU/keqLwkJyfXmG8AUFxcjJkzZ6Jx48bw8vLCQw89hD///NOofTXn37Ztm97X9u/fj9GjR6N58+byNRqakPPWrVvw9/dHQEAAbt26ZfT5a8KAhPSLq5hN20bn1vxbWnC7KZb0rsBzkkB0LBiEEBFRnRgzZgxOnjyJtWvX4uzZs9i+fTsGDBiA3NxcZGVlISsrCykpKTh9+jTS0tKQnp6OadOm6RxnzZo1uHLlCjIzM7F8+XKsW7cOiYnGdZz75ptvMGTIEOzatQvHjh3DwIEDMWrUKJw4cULeZv/+/ZgwYQL27duHQ4cOoVWrVhg6dCguX75s8LgXL15E9+7dsXfvXiQlJeH06dNIT0/HwIEDMWPGDK1tW7ZsiTVr1mitO3z4MLKzs+Hl5QVjGJtfEydOREZGBtLT05Geno6MjAxERkbKrx87dgxNmjTBRx99hJ9++gmvvPIK5s2bh6VLl+qcs6SkBBMmTED//v11XsvMzMSIESPQv39/nDhxAi+//DJeeOEFbN68Wd4mICAAr7zyCg4dOoRTp07hySefxJNPPqkVEB44cAAzZszA4cOHsXv3bpSWlmLo0KEoKLjdhvzKlStay+rVqyFJEsaMGWNU3s2aNQtbt27Fp59+iu+++w43b97Egw8+iLKyMqP2r87BgwfRpUsXbN68GadOncLUqVMxefJkfP755zrbbt68GZ06dUJYWBi2bNli8bk1JCGEWc/B8/PzoVQqoQLga7XkkNVpCveO0lk4DpASCgAsuN0Uy0RJBdLtkZmI6kIcHOczRjaVD0AJQKVSwde3/vx6FhUVITMzE23atIG7u7u83t6bbOXl5cHf3x/79+9HeHi4Ufts2rQJkyZNQkFBARQKdct4SZKwdetWrdqJadOmITs7Gzt37jQpTRodO3bEuHHjMH/+fL2vl5WVwd/fH0uXLsXkyZMBqGtI8vLy5CflI0aMwKlTp/Drr7/qBBV5eXlyjULr1q0xYcIEpKam4ty5c2jZsiUA4JlnnoG7uzs+/PBDLFmyBFFRUSZfR9X8+vnnnxEWFobDhw+jV69eANSBT58+ffDLL78gNDRU73FmzJiBn3/+GXv37tVaP2fOHGRlZWHQoEGYNWuWVk3LnDlzsH37dvz888/yumeffRYnT57EoUOHDKa5W7duGDlyJBISEvS+/tdff6Fp06Y4cOAA7r//fr3bPPzww7hx44ZWTZQhKpUKTZo0wbp16zBu3DgA6uCuZcuW2LVrFyIiImo8hr57sDojR45Es2bNsHr1aq31AwcOxPjx4yGEwMaNG3XyuypDn/2qWEPi7BJhekEpTs8EdLVJ0yFdxEB6VyBa8mRTLHIsDEaInJK3tze8vb2xbds2o5tXaYJNTTCiz9mzZ7Fv3z65wG2q8vJy3LhxAwEBAQa3KSwsRElJicFtcnNzkZ6ejhkzZuit4ajavKlZs2aIiIjA2rVr5eNv2LABU6dONesaNKrm16FDh6BUKrXypnfv3lAqlTh48GC1x6l6rXv37sWmTZuwbNkyvfscOnQIQ4cO1VoXERGBH374ASUlJTrbCyHw9ddf49dffzUYaGjSAsBg3l+9ehU7d+7UW5Omz7Fjx1BSUqKV1qCgIHTq1KnaPLGEvvy8cOECDh06hLFjx2Ls2LE4ePAgfvvtN6ucjwGJM6s0w7VJElH7NQxyEFIAScn+IEREZH8UCgXS0tKwdu1a+Pn5oV+/fnj55Zdx6tQpvdvn5OQgISEB06dP13ltwoQJ8Pb2hru7O0JDQ9GxY0fMmzfPrHS99dZbKCgowNixYw1uM3fuXAQHB2Pw4MF6Xz9//jyEEGjfvr3R5506dSrS0tIghMBnn32GO++8E127djU1+TJ9+ZWdnY2mTZvqbNu0aVNkZ2frPc6hQ4ewceNGrePk5OQgKioKaWlpBmsjs7Oz0axZM611zZo1Q2lpKf7++295nUqlgre3N1xdXTFy5Ei8++67GDJkiN5jCiEwe/Zs3HfffejUqZPebdauXQsfHx88+uijel/Xl05XV1f4+/vrpNVQnljis88+w9GjR/Hkk09qrV+9ejWGDx8u9yEZNmyYTg2KuRiQOLKKgEPTz0JnSVDPdp0o6rjGQ5M2PevkIETulO6J6Ng6TpujqHhvOYwxEZHtjBkzBllZWdi+fTsiIiKwf/9+dOvWTacTd35+PkaOHImwsDAsWLBA5zipqanIyMjAyZMnsWPHDpw9e1arX4Sx1q9fj4ULF2LDhg16C+4AkJSUhPXr12PLli0Gm8loWuxLkvHN5kaOHImbN2/im2++werVqy2qHakuv/SlSQihd/1PP/2E0aNHY/78+VpBwtNPP42JEydWW5Oh71z68sXHxwcZGRk4evQoXnvtNcyePRv79+/Xe7znn38ep06dwvr16w2ec/Xq1XjiiSeqbcJkDEN5Yon9+/cjKioKK1euRMeOHeX1ZWVlWLt2LSZNmiSvmzRpEtauXWuVfiwMSBxUaQEgKdUdvf/lpS7c61u8PYE4qQ5qPKqq1ISltOB2cyw5CGFNSPXiIL+3Lp4xt5vROdL8MERETsLd3R1DhgzB/PnzcfDgQURFRWkVom/cuIFhw4bB29sbW7duhYuLi84xAgMD0bZtW4SGhmLkyJFYtGjR/7N35nFRV9//f42MM+wDuOEGkiaESwZWYilYsigafT7mggIiuH2+4pJgooJokBhg2uaSPwRKBTTB6JMSmgzWR1BRUINyC6VEwthlBFnu74+Rt7yZGRgWxeU8H4/7EO4973PPPe8ZeZ/3vfdcxMfH49q1a2rbER8fD29vbxw4cEDlzEdERAQ2bdqElJQUjBw5UqWuF198EQKBgLd/ojWEQiHc3d0RFBSE06dPY86cOWpf25SW/GVsbIy///5b4Zo7d+4ozGbk5ubirbfewoIFCxAQwP8DeeLECUREREAoFEIoFMLb2xvl5eUQCoXcW31jY2OFGYaioiIIhUL06NGDq+vWrRuGDBmCUaNGwdfXF++99x5CQ0MVbFy6dCmSkpKQmpqKAQMGKB37zz//jMuXL2P+/PmteOkhxsbGuH//PkpLSxVsbe6TjpCWloapU6fik08+4fYdNfLjjz/i1q1bmDlzJufTWbNm4a+//kJKSkqH+6aA5GlGybr1rRL+7zXwezy2KKExRe8HOrQcq12UybCVyVAri4Ag2A/dtasgCK6iGROi66HAmHjOsbS05DIoVVRUwMHBASKRCElJSWq/9dbQ0AAAtVOnxsbGwtPTE/v374ezs7NSmfDwcAQHByM5ORmjR49uUZ+RkREcHR3x5Zdf8rJBNdJ083dTvLy8kJaWBhcXF4UlROrQmr9sbGxQXl7OS1l8+vRplJeXY+zYsVxdTk4OJkyYgLlz5+Kjjz5S6Cc9PR3Z2dlc+fDDD7mZjn/9619cX8eOHeNdl5KSgtGjRysNKhthjPH2FDHG4OPjg4SEBJw4cQJmZmYqr42MjIS1tTVefvlllTLNsba2Rvfu3Xm23r59G7/++ivPJx1BKpXC2dkZmzdvxsKFC5XaPWvWLJ5Ps7OzMWfOHERGRna4fzoY8SlFqAOwAMVpuk8gX6YlDJX/+0ng47cNkL/N/z/Bk3aQyVNGhDYAoLtfFWCgDZStAgzC0b2sCgyURozoQmgTP/GcUFxcjOnTp8PLywsjR46Enp4eMjMzERYWBhcXF1RWVsLBwQEymQx79+5FRUUFKioqAAC9evXigg5A/oBfWFiIhoYGXL16FR9++CGGDh2Kl156qVU7YmNj4eHhgU8//RRjxozh3upraWlBIpG/iQwLC0NgYCD279+PQYMGcTKNG/OVsX37dowdOxavvfYaPvzwQ4wcORJ1dXU4duwYduzYoXT25KWXXsI///wDbW3ttjkTUMtfL730EpycnLBgwQLs2rULgDyb15QpU7gMW43BiIODA1auXMmNVUNDA7169eLsbEpmZia6devG29exePFifPHFF1i5ciUWLFiA9PR0REZG8pZbhYaGYvTo0Rg8eDDu37+PI0eO4Ouvv8aOHTs4mSVLlmD//v347rvvoKenx9kjkUigpaXFyVVUVODgwYPYsmVLm/wmkUjg7e0NX19f9OjRA0ZGRvDz88OIESNUzpQpIy8vD9nZ2by6IUOGIDMzE87Ozli+fDmmTZvG2S8SiWBkZIQ7d+7g+++/R1JSksK+mLlz58LZ2Rl37tzhfN8uWDspLy9nAFg5wBgVKs2KmIG9D9YlpbbqMY0z4NHqRvjDMUHCmJjJ68D8uvz+UqFCpX2lHGAAWHl5eXv//D6V3Lt3j+Xm5rJ79+51tSltorq6mvn7+zMrKysmkUiYtrY2Mzc3ZwEBAUwmk7HU1FSGB/e0ecnLy+P0NK0XCASsb9++bObMmez69etq2WFra6u0j7lz53IypqamSmWCgoI4GXd3dzZt2jSe7oKCArZkyRJmamrKRCIR69+/P3vnnXdYamoqT/fWrVtV2ieRSFhUVFSr41DXX8XFxWzOnDlMT0+P6enpsTlz5rDS0lKuPSgoSKkOU1NTlX1HRUUxiUSiUC+VStkrr7zCRCIRGzRoENuxYwevfd26dWzIkCFMU1OTGRoaMhsbGxYXF8eTUTWm5j7ZtWsX09LSYmVlZa36qjn37t1jPj4+zMjIiGlpabEpU6aw/Px8ta9XZWNqaiqbO3eu0jZbW1vGGGMRERHMwMCA3b9/X0FvbW0tMzIyYlu2bFFptzrffTqHhHgkaLKumyF5Zs4hCQA0g+V+3CqR/w6/VWCBEfSGmiCeUugckpbPIiAeLU5OThgyZIjSAwQJ4lGg7neflmw9q3TxQW1duXflmSEEqAYgYKsAbAQQBDEoGCEIgiDaRmlpKU6dOgWpVIrFixd3tTkEoQBtan9W6fKH1o1dbcCjJUA+C/SodHMlBGCCCLBAHdTKIlDdRXuCCIIgiEfHsGHDuL0ezcu+ffs6rN/LywuLFi2Cr68vXFxcOsFi5ezbt0/lOJqmkCX4dNRvmzZtUnn9pEmTHsMIOg4t2SI6nwcpa7sqq9YjX7IVAAiC5RvN2VKBesFfY1ailmRbmtUKAATBfqiVRTwby9EI4jmFlmzRki1l3Lx5U+nJ4ID88Ds9Pb3HbFH7qKysVJqyFwC6d+8OU1PTx2zR00FH/VZSUoKSkhKlbVpaWujfv3+HbWwvtGSL6DLq1gDvd/kMzSPiQTBSItCGUTgAdYOu5v5QFny06rON0NWOQLWaXRIEQRBPB8/Kg7qent5TEzw9SXTUb0ZGRjAyMupEix4/tGTreYA7Id0PAlb1yM8Q2Nz2TIBPFe8L5AMsWSWftWgXbQ3YQgAgiI5/IAiCIAjimYMCkmeJFp5WAxs3mUc8+mjBX/bIu3hyMAh/PIfEBQDBiHi+fEsQBEEQxHMBBSTPEqreujdujBZEgJWrueehA2zWVjwxvqsJYXgkJ5yXlMtT87ZKR4KWB9dSMEIQBEEQxLMIBSTPG49hb0cg/LpsQ7sqAgIfLCXr5NmMYAA1Bqx1vR3xe4i8CHVAG9oJgiAIgnjmoICEeD4Ikc8w1K3Bw5S67aBujfxfIwlgxGQwYgL1M221BG0OIQiCIAjiOYWybBF8OuFARTEiAIR3hjWdSmfMLghD5WmFP9EBIOi4Ph5dfJglQRDE40ar0/8jbZl7eFQHSBEE0RFohoTgQw/ELRPyiJZNPViWRRAEQTxZFBUVYdGiRTAxMYFYLIaxsTEcHR2Rnp6OkpISLF26FObm5tDW1oaJiQmWLVuG8nL+umWBQMAVoVAIExMTrFy5EjU1NWrZkJCQAHt7e/Tq1Qv6+vqwsbHBjz/+yJPZvXs3xo0bB0NDQxgaGmLixIk4c+YMT8bT0xPvvvsur66wsBBLly7FCy+8ALFYjIEDB2Lq1Kn46aefOJlBgwZBIBAgLi5OwbZhw4ZBIBAgOjq61XGo66/S0lK4u7tDIpFAIpHA3d0dZWVlXPuFCxfg6uqKgQMHQktLCy+99BI+/fRTlf1eu3YNenp6MDAwUGhLS0uDtbU1NDU18cILL2Dnzp289oSEBIwePRoGBgbQ0dHBqFGj8M033yjo2b59O3fWhrW1NX7++Wdee9PPQNMSHq7eC9yamhosXboUPXv2hI6ODt555x389ddfal3b2P/hw4eVtkmlUri4uKBv377cGFUdyHnv3j0YGhrCyMgI9+7dU7v/1qCAhOh0aPURQRAE8awwbdo0XLhwATExMbhy5QqSkpJgZ2eHkpISFBQUoKCgABEREbh06RKio6ORnJwMb29vBT1RUVG4ffs28vLysH37dnzzzTcICVHvTdTJkydhb2+PI0eO4Ny5c5gwYQKmTp2KrKwsTkYqlcLV1RWpqalIT0+HiYkJHBwccOvWLZV6b9y4AWtra5w4cQJhYWG4dOkSkpOTMWHCBCxZsoQnO3DgQERFRfHqMjIyUFhYCB0d9d7Uqeuv2bNnIzs7G8nJyUhOTkZ2djbc3d259nPnzqFXr17Yu3cvcnJysG7dOqxZswZffPGFQp+1tbVwdXXFuHHjFNry8vIwefJkjBs3DllZWVi7di2WLVuGQ4cOcTJGRkZYt24d0tPTcfHiRcybNw/z5s3jBYTx8fFYsWIF1q1bh6ysLIwbNw6TJk1Cfn4+J3P79m1e2bNnDwQCAaZNm6aW71asWIHExETExcXhl19+wd27dzFlyhTU19erdX1LnDp1CiNHjsShQ4dw8eJFeHl5wcPDA99//72C7KFDhzB8+HBYWloiISGhw31zsHZSXl7OALBygDEqVJqU2iqw98G6rNRWdb0PqFChQkVZKQcYAFZeXt7eP79PJffu3WO5ubns3r17vHpNhsda2kppaSkDwKRSqdrXHDhwgIlEIlZbW8vVAWCJiYk8OS8vLzZ58uQ229SIpaUl27hxo8r2uro6pqenx2JiYri6uXPnMhcXF+73SZMmsf79+7O7d+8qXF9aWsr9bGpqyvz9/ZlYLGb5+flc/YIFC9jSpUuZRCJhUVFR7RpHc3/l5uYyACwjI4OTSU9PZwDY77//rlLP//3f/7EJEyYo1H/wwQfMzc2NRUVFMYlEotBmYWHBq1u0aBEbM2ZMiza/8sorLCAggPv9tddeY4sXL+bJWFhYMH9/f5U6XFxc2FtvvdViP42UlZWx7t27s7i4OK7u1q1brFu3biw5OVktHco+gy0xefJkNm/ePIV6Ozs7tnPnTrZjxw6l/m6Oqu9+c2iG5HnmEU1lCEOfvLS/BEEQBNFWdHV1oauri8OHD6u9vKq8vBz6+voQClVv071y5QpSU1Px+uuvt8uuhoYGVFZWtng6t0wmQ21trUqZkpISJCcnY8mSJUpnOJovb+rTpw8cHR0RExPD6Y+Pj4eXl1e7xtBIc3+lp6dDIpHwfDNmzBhIJBKcOnWqRT3Nx3rixAkcPHgQX375pdJr0tPT4eDgwKtzdHREZmYmamtrFeQZY/jpp59w+fJljB8/HgBw//59nDt3TkGPg4ODSnv//vtv/PDDD0pn0pRx7tw51NbW8vro168fhg8f3qJPOoIyf16/fh3p6emYMWMGZsyYgVOnTuGPP/7olP4oIHmeoT0LBEEQBKESoVCI6OhoxMTEwMDAAG+88QbWrl2LixcvKpUvLi5GcHAwFi1apNDm6uoKXV1daGpqwtzcHMOGDcOaNWvaZdeWLVtQVVWFGTNmqJTx9/dH//79MXHiRKXt165dA2MMFhYWavfr5eWF6OhoMMbw7bffYvDgwRg1alRbzedQ5q/CwkL07t1bQbZ3794oLCxUqic9PR0HDhzg6SkuLoanpyeio6Ohr6+v9LrCwkL06dOHV9enTx/U1dXhn3/+4erKy8uhq6sLkUgEZ2dnfP7557C3twcA/PPPP6ivr1eqR5W9MTEx0NPTw7///W+l7crsFIlEMDQ0VLuPjvDtt9/i7NmzmDdvHq9+z549mDRpEreHxMnJCXv27OmUPikgITqfEABldIofQRAE8fQzbdo0FBQUICkpCY6OjpBKpbCyslLYxF1RUQFnZ2dYWloiKChIQc/WrVuRnZ2NCxcu4L///S+uXLnC2xehLrGxsdiwYQPi4+OVPrgDQFhYGGJjY5GQkABNTU2lMvJVPPLNzuri7OyMu3fv4uTJk9izZ0+HZkda8pcymxhjSutzcnLg4uKC9evXc0ECACxYsACzZ8/mZjJU0VynMr/o6ekhOzsbZ8+exUcffYSVK1dCKpW2qkeVb/fs2YM5c+aovDfq0lIf7UUqlcLT0xO7d+/GsGHDuPr6+nrExMTAzc2Nq3Nzc0NMTEyn7GOhgIR4JIjxDJ/gR7v2CYIgnis0NTVhb2+P9evX49SpU/D09OQ9RFdWVsLJyQm6urpITExE9+7dFXQYGxtjyJAhMDc3h7OzMzZu3Ij4+Hhcu3ZNbTvi4+Ph7e2NAwcOqJz5iIiIwKZNm5CSkoKRI0eq1PXiiy9CIBDgt99+U7t/oVAId3d3BAUF4fTp05gzZ47a1zalJX8ZGxvj77//Vrjmzp07CrMQubm5eOutt7BgwQIEBPD/OJ84cQIREREQCoUQCoXw9vZGeXk5hEIh91bf2NhYYYahqKgIQqEQPXr04Oq6deuGIUOGYNSoUfD19cV7772H0NBQAEDPnj2hoaGhVE9zewHg559/xuXLlzF//nx1XMXZef/+fZSWlqrVR3tJS0vD1KlT8cknn8DDw4PX9uOPP+LWrVuYOXMm59NZs2bhr7/+QkpKSof7poCEaJ12PIBXBz7D+0hoqRtBEMRzjaWlJaqqqgDI3/Q7ODhAJBIhKSlJ7bfeGhoaAKB26tTY2Fh4enpi//79cHZ2VioTHh6O4OBgJCcnY/To0S3qMzIygqOjI7788ktuLE1pmma3KV5eXkhLS4OLi4vCEiJ1aM1fNjY2KC8v56UsPn36NMrLyzF27FiuLicnBxMmTMDcuXPx0UcfKfSTnp6O7Oxsrnz44YfcTMe//vUvrq9jx47xrktJScHo0aOVBpWNMMa4PUUikQjW1tYKeo4dO8azt5HIyEhYW1vj5ZdfVqm/OdbW1ujevTuvj9u3b+PXX39V2kd7kEqlcHZ2xubNm7Fw4UKlds+aNYvn0+zsbMyZMweRkZEd7l/tgxFramp4G7oqKio63DnxFECzAQRBEMRzSnFxMaZPnw4vLy+MHDkSenp6yMzMRFhYGFxcXFBZWQkHBwfIZDLs3bsXFRUV3PNRr169uKADkD/gFxYWoqGhAVevXsWHH36IoUOH4qWXXmrVjtjYWHh4eODTTz/FmDFjuLfxWlpakEjkb//CwsIQGBiI/fv3Y9CgQZxM48Z8ZWzfvh1jx47Fa6+9hg8//BAjR45EXV0djh07hh07diidPXnppZfwzz//QFtbu23OBNTy10svvQQnJycsWLAAu3btAgAsXLgQU6ZMgbm5OYCHwYiDgwNWrlzJjVVDQwO9evXi7GxKZmYmunXrhuHDh3N1ixcvxhdffIGVK1diwYIFSE9PR2RkJGJjYzmZ0NBQjB49GoMHD8b9+/dx5MgRfP3119ixYwcns3LlSri7u2P06NGwsbHBV199hfz8fCxevJhnQ0VFBQ4ePIgtW7a0yW8SiQTe3t7w9fVFjx49YGRkBD8/P4wYMULlTJky8vLykJ2dzasbMmQIMjMz4ezsjOXLl2PatGmcP0UiEYyMjHDnzh18//33SEpK4vkPAObOnQtnZ2fcuXOH8327UDf9V1BQEMODdIVNC6X9paKqgFVR2l8qVKhQaVIo7W/LqT+fNKqrq5m/vz+zsrJiEomEaWtrM3NzcxYQEMBkMhlLTU1lyp6NALC8vDxOT9N6gUDA+vbty2bOnMmuX7+ulh22trZK+5g7dy4nY2pqqlQmKCiIk3F3d2fTpk3j6S4oKGBLlixhpqamTCQSsf79+7N33nmHpaam8nRv3bpVpX3qpv1V11/FxcVszpw5TE9Pj+np6bE5c+bw0hCreiY1NTVV2beytL+MMSaVStkrr7zCRCIRGzRoENuxYwevfd26dWzIkCFMU1OTGRoaMhsbG1763Ua+/PJLzodWVlYsLS1NQWbXrl1MS0uLlZWVteqr5ty7d4/5+PgwIyMjpqWlxaZMmcJLwdwaqvyemprK5s6dq7TN1taWMcZYREQEMzAwYPfv31fQW1tby4yMjNiWLVtU2q3Od1/wwMhWUTZDMnDgQJQDUJ67gHjeqasCPtBR6+PVqYRVCdp2mnoAOnUZVggDAgI7V+czSwBQtwZtu18E8RRTAUCCh6lOnxeqq6uRl5fHnWRNdA1OTk4YMmSI0gMECeJRoO53X+09JGKxGPr6+rxCEC0h1AG2hne1FWrQyYEDxSFtQ7fts/4EQRBEGygtLcUPP/wAqVTapiU+BPG4oE3txCMl2K9z09E96dRVAXcfR8bjAECTyft7qvf5hMgTIBAEQTzPDBs2jNvr0bzs27evw/q9vLywaNEi+Pr6wsXFpRMsVs6+fftUjqNpClmCT0f9tmnTJpXXT5o06TGMoOOovWSrORUVFZBIJLRki2iZAEAgYXh/1ePrss1LtjqbACAkGAh41LFYJy81Iwji0UNLtmjJljJu3ryp9GRwQH74nZ6e3mO2qH1UVlYqTdkLAN27d4epqeljtujpoKN+KykpQUlJidI2LS0t9O/fv8M2thd1v/sUkBCq6aQH3se9l6SrA5K6KvkypOrna3KIIAg1oICEAhKCeJ7o9D0kxPOFJgM0gztHl1AHMGLPz9O5UIeWIREEQRAEQagLBSSE0j0I1YGd+4Y/4Fk+KFEZymaWApoUgiAIgiAIAgAFJIQqOntvQggQXPaMzZK0JbAIAATBfvLyOaOghCAIgiAI4gEUkBCPbWN0gADYyh7j7vb2omawULdGvl9EZaarJjMiIcEAE0SgVhbReXYSBEEQBEE8A1BAQiiFe9DuZFhgBLayx5EXtwM0BmitBCbCUGBzC2doNM6GaAYD/g+GrKsNvF/eKVYSBEEQBEE8Ewi72gDiyaS7th/EiEB1Z6eWDQEYdCAIf7ypgNtFa+MOAQJalNkoDz4EDLpMgGrIzyjpLgE+6TQjCYIgnl4EeLx/CBiehtN6CeL5g2ZICKXUyiLkWX87KdMWjxCAlQuejlPc20sAgAht3q+APAPXM7eXhiAI4hmmqKgIixYtgomJCcRiMYyNjeHo6Ij09HSUlJRg6dKlMDc3h7a2NkxMTLBs2TKUlyufCl+4cCE0NDQQFxfXJht2796NcePGwdDQEIaGhpg4cSLOnDnDkwkNDcWrr74KPT099O7dG++++y4uX77Mk7Gzs8OKFSt4ddeuXcO8efMwYMAAiMVimJmZwdXVFZmZmZyMQCCApqYmbt68ybv23Xffhaenp1pjUMc+xhg2bNiAfv36QUtLC3Z2dsjJyeHa2+rvmpoajBo1CgKBANnZ2by2/Px8TJ06FTo6OujZsyeWLVuG+/fvK9Vz7do16OnpwcDAgFefkJAAe3t79OrVC/r6+rCxscGPP/7Ik8nJycG0adMwaNAgCAQCbNu2TS1/NWX79u1c2lxra2v8/PPPal+r7J43cuPGDXh7e8PMzAxaWloYPHgwgoKCVPrBwcEBGhoayMjIaPMYWoMCEkIpwlD5v4HwezQdhAC1/yd4NjJvPTg1XZPh4b6RB0HXdibAVrYKAYEPZQMEoAMNCYIgnhKmTZuGCxcuICYmBleuXEFSUhLs7OxQUlKCgoICFBQUICIiApcuXUJ0dDSSk5Ph7e2toEcmkyE+Ph6rVq1CZGRkm2yQSqVwdXVFamoq0tPTYWJiAgcHB9y6dYuTSUtLw5IlS5CRkYFjx46hrq4ODg4OqKpSvf46MzMT1tbWuHLlCnbt2oXc3FwkJibCwsICvr6+PFmBQID169e3ye6mqGNfWFgYPvnkE3zxxRc4e/YsjI2NYW9vj8rKSgBok78B4IMPPkC/fv0U6uvr6+Hs7Iyqqir88ssviIuLw6FDhxTGDAC1tbVwdXXFuHHjFNpOnjwJe3t7HDlyBOfOncOECRMwdepUZGVlcTIymQwvvPACNm/eDGNj4zb7LT4+HitWrMC6deuQlZWFcePGYdKkScjPz2+zrub8/vvvaGhowK5du5CTk4OtW7di586dWLt2rYJsfn4+0tPT4ePj0+bPr1qwdlJeXs4AsHKAMSrPZKmtAhOzR9tHMAMD82Pvg3Vaqa16/H5CuLxvMD8GVsVYQDO55r9ToULluSzlAAPAysvL2/vn96nk3r17LDc3l927d49XL/8/8/GVtlJaWsoAMKlUqvY1Bw4cYCKRiNXW1vLqo6Oj2ZgxY1hZWRnT0tJieXl5bbankbq6Oqanp8diYmJUyhQVFTEALC0tjauztbVly5cvZ4wx1tDQwIYNG8asra1ZfX29wvWlpaXczwDYqlWrWLdu3djFixe5ehcXFzZ37tx2jaG5fQ0NDczY2Jht3ryZk6murmYSiYTt3LlTpR5V/j5y5AizsLBgOTk5DADLysritXXr1o3dunWLq4uNjWVisVjhu/nBBx8wNzc3FhUVxSQSSavjsrS0ZBs3blTaZmpqyrZu3dqqjqa89tprbPHixbw6CwsL5u/vr9b1Te+5OoSFhTEzMzOF+g0bNrBZs2ax3377jenp6bG7d++qpU/Vd785NENCqEQYKt/z8CgJCASYIAJG7AlfwtXCBndhKAC/VdjKZKiVRUCMLjwmniAIgug0dHV1oauri8OHD6Ompkata8rLy6Gvrw+hkL9NNzIyEm5ubpBIJJg8eTKioqLabZdMJkNtbS2MjIxatAOASpns7Gzk5OTA19cX3bopPg42X540duxYTJkyBWvWrGm33S3Zl5eXh8LCQjg4OHAyYrEYtra2OHXqVIt6mvv777//xoIFC/DNN99AW1sx+0x6ejqGDx/Omz1xdHRETU0Nzp07x9WdOHECBw8exJdffqnWmBoaGlBZWdnifWkL9+/fx7lz53g+AeRLp1rySUcoLy9XsJ8xhqioKLi5ucHCwgJDhw7FgQMHOrVfCkgI1YTI9zw86j4A+TImbonTkxiYtLTEKkQeVDGBjvyUdmVLsmiJFh86h4UgiKcAoVCI6OhoxMTEwMDAAG+88QbWrl2LixcvKpUvLi5GcHAwFi1axKu/evUqMjIyMHPmTACAm5sboqKi0NDQ0C67/P390b9/f0ycOFFpO2MMK1euxJtvvonhw4crlbl69SoAwMLCQu1+Q0NDkZyc3KY9DOraV1hYCADo06cPT7ZPnz5cW3OU+ZsxBk9PTyxevBijR49Wel1hYaFCP4aGhhCJRFxfxcXF8PT0RHR0NPT19dUa15YtW1BVVYUZM2aoJd8a//zzD+rr69vkk45w/fp1fP7551i8eDGv/vjx45DJZHB0dAQg//x29rItCkiIJ4cQ+cM8F5hIutog4pFBARpBEE8J06ZNQ0FBAZKSkuDo6AipVAorKytER0fz5CoqKuDs7AxLS0sEBQXx2iIjI+Ho6IiePXsCACZPnoyqqiocP368zfaEhYUhNjYWCQkJ0NTUVCrj4+ODixcvIjY2VqUexhgA+d4QdbG0tISHhwdWr17dNqPbYF9zexhjSm1U5e/PP/8cFRUVrc7kKNPZtK8FCxZg9uzZGD9+vFpjio2NxYYNGxAfH4/evXurdY26qOuTjlBQUAAnJydMnz4d8+fP57VFRkZi5syZ3CyUq6srTp8+rZCUoCNQQEI8GjryBrwxMFkqgBFr3BguU5g52cpk2MpWcW1bJfK6xg35xHMAzbQQBPEY0NTUhL29PdavX49Tp07B09OT9xBcWVkJJycn6OrqIjExEd27d+fa6uvr8fXXX+OHH36AUCiEUCiEtrY2SkpK2vyWOSIiAps2bUJKSgpGjhypVGbp0qVISkpCamoqBgwYoFLX0KFDAQC//fZbm2zYuHEjsrKycPjw4TZd15p9jRu+m7/5LyoqUpghaMnfJ06cQEZGBsRiMYRCIYYMGQIAGD16NObOncv11byf0tJS1NbWcn2dOHECERER3D3z9vZGeXk5hEIh9uzZw7s2Pj4e3t7eOHDggMpZq/bQs2dPaGhoqOWTjlBQUIAJEybAxsYGX331Fa+tpKQEhw8fxvbt2zlf9O/fH3V1dQp+6AgUkBCPhhA8zDjVAR0BggfBiUAHrPxhgBJWJQAL1EGtLALBkLexpQIwgU773r7Tg+3TCc20EATRBVhaWnLZoSoqKuDg4ACRSISkpCSFWYsjR46gsrISWVlZyM7O5srBgwdx+PBhFBcXq9VneHg4goODkZycrHQpEmMMPj4+SEhIwIkTJ2BmZtaivlGjRsHS0hJbtmxRunSsrKxM6XUDBw6Ej48P1q5di/r6erVsV8c+MzMzGBsb49ixY1zd/fv3kZaWhrFjx3J1rfn7s88+w4ULFzg/HzlyBIA8aPjoo48AADY2Nvj1119x+/Zt7rqUlBSIxWJYW1sDkO8zaXq/PvzwQ+jp6SE7Oxv/+te/uOtiY2Ph6emJ/fv3w9nZWW1/qINIJIK1tTXPJwBw7Ngxnk86wq1bt2BnZwcrKytERUUp7Cfat28fBgwYwPNpdnY2tm3bhpiYGNTV1XWKHXQwItE2Gh/c1XwQFARXgaGdQUJzHhxE2DR2EIZ0QiwRILcTEm0E+wngL3sMe2cIgiCIJ57i4mJMnz4dXl5eGDlyJPT09JCZmYmwsDC4uLigsrISDg4OkMlk2Lt3LyoqKlBRUQEA6NWrFzQ0NBAZGQlnZ2e8/PLLPN3Dhg3DihUrsHfvXixfvrxFO8LCwhAYGIj9+/dj0KBB3Bvzxk33ALBkyRLs378f3333HfT09DgZiUQCLS0tBZ0CgQBRUVGYOHEixo8fj7Vr18LCwgJ3797F999/j5SUFKSlpSm1Z82aNdi9ezfy8vK4fTGt0Zp9AoEAK1aswKZNm/Diiy/ixRdfxKZNm6CtrY3Zs2cDgFr+NjEx4fXb6J/BgwdzMzIODg6wtLSEu7s7wsPDUVJSAj8/PyxYsIDbL/LSSy/x9GRmZqJbt268PTmxsbHw8PDAp59+ijFjxnBj0tLSgkQiX3d+//595Obmcj/funUL2dnZ0NXV5WZvWmLlypVwd3fH6NGjuRmM/Px8hX0eLXHnzh2Fc1iMjY3R0NAAOzs7mJiYICIiAnfu3OG1A/LlWu+9957CXiRTU1OsXr0aP/zwA1xcXNS2RSVq5wFrBqX9paJWeQrS3QYzMEgYQzhjwUyexjeYPfqUx1SoUHn+CqX9bTn155NGdXU18/f3Z1ZWVkwikTBtbW1mbm7OAgICmEwmY6mpqQwP7mnzkpeXxwoLC5lQKGQHDhxQqn/p0qVsxIgRrdphamqqtI+goCBORpUdUVFRnMy4ceOYr68vT/fly5eZh4cH69evHxOJRMzU1JS5urqy8+fP83QnJibyrtu0aRMDoHbaX3Xsa2hoYEFBQczY2JiJxWI2fvx4dunSJa69NX8rIy8vjwH8tL+MMXbz5k3m7OzMtLS0mJGREfPx8WHV1dUq7VeW9tfW1lapLU190th/82Jra6uW3xhj7Msvv2SmpqZMJBIxKysrXirn1lBlY1BQEIuKilLpT8YYy8zMZADYmTNnlOqeOnUqmzp1aov9q/vdFzDGWHsCmYqKCkgkEpQDUC/3AEG0woMDBR+3vhAGBKIKLPDhTE5d1cPDIWlZUBfQxpk4gnhaqAAgwcNUpc8L1dXVyMvL406bJroGCwsLzJ8/H35+j+jQY4JohrrffdpDQrSNZvtC6qoAAfNDneqDYNVGEOwnP+28IzS1T9XDbAC/BEJufF2ThBxCHSAkGNAMlo/xudxj0lVjbgwkKRghCILoFIqKihATE4PLly/j7bff7mpzCEIBCkgI1ajxQLpZ8byhdhOMiPZd+MDOuip5EFG3Bi3b3vRhNwTygwwjFAcSECg/GPK5zdrVVQEBBSIEQTxnNO4FUVY6euYHADg5OWHDhg347LPP8Morr3SCxXzy8/NbHEN+fn6n9/ks0FG//fzzzy1e/zRBm9oJ1Sh7MGxWFyAAAtobSDQjILBjL+WFofLr61o5RDaEPewPkAcdm/0EEAY2F5RvmpcLd8Aw4vEQIA9IAwJBQQ1BEE8VzTccN6V///4d1n/+/PkO62iJfv36tTiGpieiEw/pqN9Gjx7d4vVPE7SHhHj2aGXJVgiDPJNWqGoZlXrpQfeJpXHfT90aypJGPLnQHhLaQ0IQzxO0h4R4fmll/0HjzEibg4snKRihGRsFhKHyfUgKywgf7BWqq0Kn7HUiCIIgCKJzoSVbxPNH41Ksp3nG42m1+zHgL1Osq1vzcPaEd99b22tEEARBEMQjh2ZICLUIYQ/2XtCbeeJJI+DBZzMEYIERSpdrbdaW7y8B+HuMGn8WfM6wMoRB8DmDINgPgmC/rvmst9ZngDyr3SOzLYBmkQiCIIjHDwUkROs8ePgJaL7p+2nnaX4DHqDi52eEuip5kKEsDXRdlbyee3AOAQLhhxAmDzAUAucQ+axJoAFDd23+07ZQR94eXCbAdiZAcJkAiAgHsPGxfz7qquRLzlrjfUF4q4kb2kWAPM21bidmziMIgiAIdaCAhGidEHk2LTob4smCOx/lGb0n/jJ5BrTm8GZAmgQegQYM3fuxh+fKNIk9NmsDJeUAEMRL49zowwABUC14EHT7rUIwHv+uePnel40tBph1a4BAdG66bY4QuQ+qBY9AN0EQBEG0AO0hIVrnGX7ofZppc5awp4EHb+lbfCh+8MDeXdsPCN4IFqKDWlkEuiMc75cDEGhDwOTRSG2VDnS1gZoIhhIonnWjsLwrBGAhnZPGuq3IU2i3HggZ4ovHYA1BPB4EuPdY+2PQeqz9EQShHjRDQrRMACAIrnq0y4Ie55KjZ2V507MWiDRB2awIwF+iVR0I1MoeBA4BD5YZBQBbmQxbmUx+0KWBNrpr+6EGVXh/FbBV8mDDe2u+6+hn5DF8xp7h208QTxxFRUVYtGgRTExMIBaLYWxsDEdHR6Snp6OkpARLly6Fubk5tLW1YWJigmXLlqG8vFyproULF0JDQwNxcXFtsmH37t0YN24cDA0NYWhoiIkTJ+LMmTM8mdDQULz66qvQ09ND79698e677+Ly5cs8GTs7O6xYsYJXd+3aNcybNw8DBgyAWCyGmZkZXF1dkZmZyckIBAJoamri5s2bvGvfffddeHp6qjUGdexjjGHDhg3o168ftLS0YGdnh5ycHK69rf6uqanBqFGjIBAIFM7ryM/Px9SpU6Gjo4OePXti2bJluH//Ptd++fJlTJgwAX369IGmpiZeeOEFBAQEoLa2lpO5ffs2Zs+eDXNzc3Tr1k3Bt4B69641tm/fzqXNtba2btNhmcrueSM3btyAt7c3zMzMoKWlhcGDByMoKIjnh6Y4ODhAQ0MDGRkZbbJfHSggIboU2kDbAZ7FQxtDVJ8h0hh0AA+zZjVdWiX2k0+r1Mp0IPYTyGdLDMIBAGFVAtQWCLBZW74pXBDO5PtTApoUPNT9pNK4VOv/BOzZuu8E8QQzbdo0XLhwATExMbhy5QqSkpJgZ2eHkpISFBQUoKCgABEREbh06RKio6ORnJwMb29vBT0ymQzx8fFYtWoVIiMj22SDVCqFq6srUlNTkZ6eDhMTEzg4OODWrVucTFpaGpYsWYKMjAwcO3YMdXV1cHBwQFWV6j+0mZmZsLa2xpUrV7Br1y7k5uYiMTERFhYW8PX15ckKBAKsX7++TXY3RR37wsLC8Mknn+CLL77A2bNnYWxsDHt7e1RWVgJAm/wNAB988IHSwwXr6+vh7OyMqqoq/PLLL4iLi8OhQ4d4Y+7evTs8PDyQkpKCy5cvY9u2bdi9ezeCgoI4mZqaGvTq1Qvr1q3Dyy+/rNQGde5dS8THx2PFihVYt24dsrKyMG7cOEyaNKnVU9zV4ffff0dDQwN27dqFnJwcbN26FTt37sTatWsVZPPz85Geng4fH582f37VgrWT8vJyBoCVA4xRodKeEgBWW6XkZypq+a7F35/iEsyUj6e2qklbk1Jb9bBN/KCA+TGwKgbmJ/9cBTyoD2cMEsbeh7yAVT1sY1Wc7JPqz2AGzvYn1UYqLZdygAFg5eXl7f3z+1Ry7949lpuby+7du8erB5M91tJWSktLGQAmlUrVvubAgQNMJBKx2tpaXn10dDQbM2YMKysrY1paWiwvL6/N9jRSV1fH9PT0WExMjEqZoqIiBoClpaVxdba2tmz58uWMMcYaGhrYsGHDmLW1Nauvr1e4vrS0lPsZAFu1ahXr1q0bu3jxIlfv4uLC5s6d264xNLevoaGBGRsbs82bN3My1dXVTCKRsJ07d6rUo8rfR44cYRYWFiwnJ4cBYFlZWby2bt26sVu3bnF1sbGxTCwWt/jdfP/999mbb76ptK2pb1tCnXvXlNdee40tXryYV2dhYcH8/f3Vul5duxoJCwtjZmZmCvUbNmxgs2bNYr/99hvT09Njd+/eVUufqu9+c2iGhOg6mr4Nb+HNOKGE5mt2nrU1PErG0/j5EEjYQ5kHcrraQCCqUGPAEABAjAiwQB0wgTwNcEgwUIMqBPsJIC5rukElCCHBDyYbDLTlszBPcPKGAAHwSYA8I9iTaiNBPEvo6upCV1cXhw8fRk1NjVrXlJeXQ19fH0Ihf5tuZGQk3NzcIJFIMHnyZERFRbXbLplMhtraWhgZGbVoBwCVMtnZ2cjJyYGvry+6dVN8HDQwMOD9PnbsWEyZMgVr1nTONHJz+/Ly8lBYWAgHBwdORiwWw9bWFqdOnWpRT3N///3331iwYAG++eYbaGsrZgFJT0/H8OHDebMnjo6OqKmpwblz55T2c+3aNSQnJ8PW1rZtA22GOveukfv37+PcuXM8nwDypVMt+aQjlJeXK9jGGENUVBTc3NxgYWGBoUOH4sCBA53aLwUkBEE8UQS0luXJr8kmkwCgu7Y8EIGBNlC2CgGBDzbFN3lglx+WGIRAVCEA8v0kAICIcAQaMAQaMKBMxeaVJ40QyoRFEI8LoVCI6OhoxMTEwMDAAG+88QbWrl2LixcvKpUvLi5GcHAwFi1axKu/evUqMjIyMHPmTACAm5sboqKi0NDQ0C67/P390b9/f0ycOFFpO2MMK1euxJtvvonhw4crlbl69SoAwMLCQu1+Q0NDkZyc3KY9DOraV1hYCADo06cPT7ZPnz5cW3OU+ZsxBk9PTyxevBijR49Wel1hYaFCP4aGhhCJRAp9jR07FpqamnjxxRcxbtw4fPjhh20bbDNau3dN+eeff1BfX98mn3SE69ev4/PPP8fixYt59cePH4dMJoOjoyMA+ee3s5dtUUBCEMRTQ0AgwAKbTaVFyAOR2gIBmCBC9cyBQTjeF2gjMILJ95cAeH8V8H65vARDB3dlD84x4XXa2aMgCOJpYtq0aSgoKEBSUhIcHR0hlUphZWWF6OhonlxFRQWcnZ1haWnJ22cAyGdHHB0d0bNnTwDA5MmTUVVVhePHj7fZnrCwMMTGxiIhIQGamppKZXx8fHDx4kXExsaq1MOY/D87gUD9NxyWlpbw8PDA6tWr22Z0G+xrbg9jTKmNqvz9+eefo6KiotWZHGU6lfUVHx+P8+fPY//+/fjhhx8QEdH+TIzq3Dt1bFXlk45QUFAAJycnTJ8+HfPnz+e1RUZGYubMmdwslKurK06fPq2QlKAjUEBCEOpCD6ZdSgiTpwTWDG5aCbByAbc0SxWbteVBx1YmA0KazJDwVaH7dvlsCReUUMprgiAAaGpqwt7eHuvXr8epU6fg6enJewiurKyEk5MTdHV1kZiYiO7du3Nt9fX1+Prrr/HDDz9AKBRCKBRCW1sbJSUlbX7LHBERgU2bNiElJQUjR45UKrN06VIkJSUhNTUVAwYMUKlr6NChAIDffvutTTZs3LgRWVlZOHz4cJuua80+Y2NjAFB4819UVKQwQ9CSv0+cOIGMjAyIxWIIhUIMGTIEADB69GjMnTuX66t5P6WlpaitrVXoa+DAgbC0tISrqys2b96MDRs2oL6+vs3jVufeNadnz57Q0NBQyycdoaCgABMmTICNjQ2++uorXltJSQkOHz6M7du3c5/f/v37o66uDnv27Ok0GyggIQh1oQfTLiUgUJ4SuDqwWUMr96WuqnHJFoAIbW5GZGs4X+7/BEyuq2zVQ5UhTQ6gJAiCeIClpSWXHaqiogIODg4QiURISkpSePN95MgRVFZWIisrC9nZ2Vw5ePAgDh8+jOLiYrX6DA8PR3BwMJKTk5UuRWKMwcfHBwkJCThx4gTMzMxa1Ddq1ChYWlpiy5YtSpeOlZWVKb1u4MCB8PHxwdq1a9v0YN6afWZmZjA2NsaxY8e4uvv37yMtLQ1jx47l6lrz92effYYLFy5wfj5y5AgA+UzHRx99BACwsbHBr7/+itu3b3PXpaSkQCwWw9rausUx1NbWcrNL6tLavVOFSCSCtbU1zycAcOzYMZ5POsKtW7dgZ2cHKysrREVFKewn2rdvHwYMGMDzaXZ2NrZt24aYmBjU1dV1ih1Qe9t9MyjLFhUqVLqiNGbVUvuaB5m4wKoeZteSMF62La4+vEn2rQfXIpxRRisqnVYoy9bTlWXrn3/+YRMmTGDffPMNu3DhAvvjjz/YgQMHWJ8+fZiXlxerqKhgr7/+OhsxYgS7du0au337Nlfq6uoYY/JMVDNnzlTQ3dDQwPr378+2bdvWqh0ff/wxE4lE7Ntvv+X1UVlZycn85z//YRKJhEmlUp6MTPZw3M0zLp0+fZrp6emxN954g/3www/s+vXr7MKFCywkJISNHz/+4X0CWGJiIvd7cXExk0gkTFNTU+0sW+rYt3nzZiaRSFhCQgK7dOkSc3V1ZX379mUVFRWMMaaWv5uTl5fHAH6Wrbq6OjZ8+HD29ttvs/Pnz7Pjx4+zAQMGMB8fH05m7969LD4+nuXm5rLr16+zAwcOsP79+7M5c+bw9GdlZbGsrCxmbW3NZs+ezbKyslhOTg7Xrs69a4m4uDjWvXt3FhkZyXJzc9mKFSuYjo4Ou3HjhlrX29racnY1Lbdv32a3bt1iQ4YMYW+99Rb766+/ePY18vLLL7PVq1cr6K2oqGBisZgdPny4xf7VzbIFtUajBApIqDzThdIQP7GFC0jUDRIC5OlyG1P+IpxxqYEVAhJWxcSMf+/b9Tl4nAEMBUtPVaGApOWHkieN6upq5u/vz6ysrJhEImHa2trM3NycBQQEMJlMxlJTUxke3NPmJS8vjxUWFjKhUMgOHDigVP/SpUvZiBEjWrXD1NRUaR9BQUGcjCo7oqKiOJlx48YxX19fnu7Lly8zDw8P1q9fPyYSiZipqSlzdXVl58+f5+luGpAwxtimTZsYALUDEnXsa2hoYEFBQczY2JiJxWI2fvx4dunSJa69NX8rQ1lAwhhjN2/eZM7OzkxLS4sZGRkxHx8fVl1dzbXHxcUxKysrpqury3R0dJilpSXbtGmTYlCtxBZTU1OuXZ171xpffvklMzU1ZSKRiFlZWfFSObeGra2tyv6joqJU+pMxxjIzMxkAdubMGaW6p06dyqZOndpi/+p+9wWMMdaemZWKigpIJBKUA9BvjwKCIIh2IGB+gEE4agsEaqeKDmFAiYBhqwTcdXVV8gxd7wu0sVUCbqP7ViYDEzwDOahp/8sTSQUACR6mKn1eqK6uRl5eHnfaNNE1WFhYYP78+fDz8+tqU4jnBHW/+0KVLQRBtA16AHw8RIQDAW07tyYgEBA8CDp0tYFqTpc8Pz234R0AENSZ1nYd9FkkCOIBRUVFOHr0KC5fvoy33367q80hCAVoUztBdBb0APhYCPYTINivDekOA+QHI6JMhq3h8gMSQ5g88xb8VilsbgeUpP4FoMnwxG5up433BPF003gAo7LS0TM/AMDJyQkbNmzAZ599hldeeaUTLOaTn5/f4hjy8/M7vc9ngY767eeff27x+qcJWrJFPL00n5GgGYpnh068l/KlWX7ymZUQAGUyiKGDGjyow4O+GvssWwUAqJXxUwkLwhlq/0/9ZWKPk6YBVEAg6HvwBENLtmjJljKuXbumsq1///7Q0tJ6jNa0nbq6Oty4cUNl+6BBgxROric67rd79+7h1q1bKtsbUx53Jep+9ykgIYiO0vzNND0MdpzWApK2BCwP7o9AwoCQhyl/a/9PgO7bGYL9BAiEH4CND057lyEYOgjBgxTDD4IVweesTftWHisPxqgZLP+x1dPuiS6DAhIKSAjieULd7z4t2SKeTp6E5SkBULAjJFixjmgHrQQjIcEttKvQJfYTyJdtSQD4yeSHJa4CF4wEQwfBZfIn+YBAoFrQxI4QPLnBCACEPPRJQPNzWgiCIAjiCYcCEuLppAtnIeqq5PsJBBL2sARXQRBMWUs6DSXBHq9Z3RmAJnqqBQALlAcdLFAHgZAfagaDcCBCmzs8sVamo/Tz9cQGIw8IEDSZ0VFofNzWEARBEIT60II+4tmm8UGsAwFM3YPn1s3acjU1qJIv7cHDVLFYpQ0gHIFsIxCs8/D5j5ZvtY+W/NYWnzaXDQECGk9ff3APAflG+c3Nr30a9yQ9bfYSBEEQBGiGhCBUEsLkZ150387QvR9DIKrkwUjEwwfZrZJmFxloc8+EdWvQ6pt+omvYrA358i22CggAAg0YAg0YQgAIQ+UBS5uWhT3JBDz4LBIEQRDEEwptaieI5jRugg72QzAiAMj3GYgRIc/MBMizM/nJszG9LwiXByZNszOFPnwIFIY20U1vsLueB/e3bo38TBIAqDFgDw9GfJB460nNqEU83dCmdtrUThDPE3QwIkG0lSYzGXVrgGBEwF8mP80bCHoYjGAj4CfjZBsfYBuDl8brgWbBSNM+KDDpOh74fnMwcFcmv0eCslWAQH4j318FhFVRMEIQjwPBlsfbH/N9vP0RBKEetGSLIADeW3NBsB82a4Pb5AwEAQbheF8Q/uDcigcneTfWAYCfDP4yeYajxiBEIRhR0h/RNTTdFyQIrnp4HwFsZauemWCEDkwkiI5TVFSERYsWwcTEBGKxGMbGxnB0dER6ejpKSkqwdOlSmJubQ1tbGyYmJli2bBnKy8uV6lq4cCE0NDQQFxfXJht2796NcePGwdDQEIaGhpg4cSLOnDnDkwkNDcWrr74KPT099O7dG++++y4uX77Mk7Gzs8OKFSt4ddeuXcO8efMwYMAAiMVimJmZwdXVFZmZmZyMQCCApqYmbt68ybv23Xffhaenp1pjUMc+xhg2bNiAfv36QUtLC3Z2dsjJyeHa2+rvmpoajBo1CgKBANnZ2by2/Px8TJ06FTo6OujZsyeWLVuG+/fvc+2XL1/GhAkT0KdPH2hqauKFF15AQEAAamtreXrS0tJgbW3NyezcuZPXrs69a43t27dzMwzW1tZtOixT2T1v5MaNG/D29oaZmRm0tLQwePBgBAUF8fzQFAcHB2hoaCAjI6NN9qsDBSQE0eSBrbu2fGlW098BPEwXGwJ5UNJkQzRCgGDo8AKQFoMRJf0Sjxdd7Qf7RlCFYOggrEqAsCoBjJgATBDRuoKnBGEoaDaOIDrItGnTcOHCBcTExODKlStISkqCnZ0dSkpKUFBQgIKCAkRERODSpUuIjo5GcnIyvL29FfTIZDLEx8dj1apViIyMbJMNUqkUrq6uSE1NRXp6OkxMTODg4MA7FC8tLQ1LlixBRkYGjh07hrq6Ojg4OKCqqkql3szMTFhbW+PKlSvYtWsXcnNzkZiYCAsLC/j68qeTBAIB1q9f3ya7m6KOfWFhYfjkk0/wxRdf4OzZszA2Noa9vT0qKysBoE3+BoAPPvgA/fr1U6ivr6+Hs7Mzqqqq8MsvvyAuLg6HDh3ijbl79+7w8PBASkoKLl++jG3btmH37t0ICgriZPLy8jB58mSMGzcOWVlZWLt2LZYtW4ZDhw5xMurcu5aIj4/HihUrsG7dOmRlZWHcuHGYNGlSq6e4q8Pvv/+OhoYG7Nq1Czk5Odi6dSt27tyJtWvXKsjm5+cjPT0dPj4+bf78qgVrJ+Xl5QwAKwcYo0LlaSwBikXMwIIZWG3Vw98RzrjyPhQLwhkn3+7S1b54Fktzvz64n433irtnXW1nF5TneexdXcoBBoCVl5e398/vU8m9e/dYbm4uu3fvHq8eEY+3tJXS0lIGgEmlUrWvOXDgABOJRKy2tpZXHx0dzcaMGcPKysqYlpYWy8vLa7tBD6irq2N6enosJiZGpUxRUREDwNLS0rg6W1tbtnz5csYYYw0NDWzYsGHM2tqa1dfXK1xfWlrK/QyArVq1inXr1o1dvHiRq3dxcWFz585t1xia29fQ0MCMjY3Z5s2bOZnq6momkUjYzp07VepR5e8jR44wCwsLlpOTwwCwrKwsXlu3bt3YrVu3uLrY2FgmFotb/G6+//777M033+R+/+CDD5iFhQVPZtGiRWzMmDEqdahz75ry2muvscWLF/PqLCwsmL+/v1rXN73n6hAWFsbMzMwU6jds2MBmzZrFfvvtN6anp8fu3r2rlj5V3/3m0AwJ8XyiZHaibs3DTK+bteVZlgIAbvN6sJ8AW5l8pmRruHxpjxETyDc/qzMjQjxWNJsfUhki3zPSiFAHz/bsgaoZuIDGfVEEQbSGrq4udHV1cfjwYdTU1Kh1TWPCAqGQv003MjISbm5ukEgkmDx5MqKiotptl0wmQ21tLYyMjFq0A4BKmezsbOTk5MDX1xfduik+DhoYGPB+Hzt2LKZMmYI1azonbV9z+/Ly8lBYWAgHBwdORiwWw9bWFqdOnWpRT3N///3331iwYAG++eYbaGtrK1yTnp6O4cOH82ZPHB0dUVNTg3Pnzint59q1a0hOToatrS1PT1N7G/VkZmYqLO1qRJ1718j9+/dx7tw5hT4cHBxa9ElHKC8vV7CNMYaoqCi4ubnBwsICQ4cOxYEDBzq1XwpIiOeexn0j3bX95Kl9DRhKBIxLBfu+IBwIAQIjGBChDXGZAGI/AcQPNr13CrR8q9OpbjyxvIlvhTrPQSDSiIoxaga33E4QxEOEQiGio6MRExMDAwMDvPHGG1i7di0uXryoVL64uBjBwcFYtGgRr/7q1avIyMjAzJkzAQBubm6IiopCQ0NDu+zy9/dH//79MXHiRKXtjDGsXLkSb775JoYPH65U5urVqwAACwsLtfsNDQ1FcnJym/YwqGtfYWEhAKBPnz482T59+nBtzVHmb8YYPD09sXjxYowePVrpdYWFhQr9GBoaQiQSKfQ1duxYaGpq4sUXX8S4cePw4YcftqinT58+qKurwz///KO079buXVP++ecf1NfXt8knHeH69ev4/PPPsXjxYl798ePHIZPJ4OjoCED++e3sZVsUkBDPH80e/hvfFgcjAmLoAAEPMmcFQL53pPFnv1WA3yru8sa37Z02O0JBSecS0qQ8at8+gefNcBvam9lWHQiwQJ2HMgRBtMi0adNQUFCApKQkODo6QiqVwsrKCtHR0Ty5iooKODs7w9LSkrfPAJDPjjg6OqJnz54AgMmTJ6OqqgrHjx9vsz1hYWGIjY1FQkKCyjSqPj4+uHjxImJjY1XqYYwBkO8NURdLS0t4eHhg9erVbTO6DfY1t4cxptRGVf7+/PPPUVFR0epMjjKdyvqKj4/H+fPnsX//fvzwww+IiODvM1Rmryr96tw7dWxV5ZOOUFBQACcnJ0yfPh3z58/ntUVGRmLmzJncLJSrqytOnz6tkJSgI1BA8oRCDwqPCKUPjUEIRgQCIxhqIhgQIk/9Kk/t++A/OT/ZgwxbGwE8TBfb6Uu1nrCHWuLppTFTWN2ah2moQ9iDnx8Ead23M2iyrrKQIJ4eNDU1YW9vj/Xr1+PUqVPw9PTkPQRXVlbCyckJurq6SExMRPfu3bm2+vp6fP311/jhhx8gFAohFAqhra2NkpKSNr9ljoiIwKZNm5CSkoKRI0cqlVm6dCmSkpKQmpqKAQMGqNQ1dOhQAMBvv/3WJhs2btyIrKwsHD58uE3XtWafsbExACi8+S8qKlKYIWjJ3ydOnEBGRgbEYjGEQiGGDBkCABg9ejTmzp3L9dW8n9LSUtTW1ir0NXDgQFhaWsLV1RWbN2/Ghg0bUF9fr1JPUVERhEIhevTowatX5941p2fPntDQ0FDLJx2hoKAAEyZMgI2NDb766iteW0lJCQ4fPozt27dzn9/+/fujrq4Oe/bs6TQbKCB5QqE9CY8AFQ/7tbIIBMIP76+SByLvlzeewB6EWlkEav/vwVsIPxlqZTq81L6P006iAzzqWZLGmZgnjLo1QPd+DMJQeTCyRMDkp9Q/gJUL5G6hzxxBtAlLS0suO1RFRQUcHBwgEomQlJSk8Ob7yJEjqKysRFZWFrKzs7ly8OBBHD58GMXFxWr1GR4ejuDgYCQnJytdisQYg4+PDxISEnDixAmYmZm1qG/UqFGwtLTEli1blC4dKysrU3rdwIED4ePjg7Vr13IP5urQmn1mZmYwNjbGsWPHuLr79+8jLS0NY8eO5epa8/dnn32GCxcucH4+cuQIAPlMx0cffQQAsLGxwa+//orbt29z16WkpEAsFsPa2rrFMdTW1nKzIDY2Njx7G/WMHj2aFyS1du9UIRKJYG1trdDHsWPHeD7pCLdu3YKdnR2srKwQFRWlsJ9o3759GDBgAM+n2dnZ2LZtG2JiYlBXV9cpdtDBiE8qT+DDzbNI3ZoHS7aapPGVn7ou4w461NUGxNDhZkVa0kWB5BPM8/adCpDPkrAAeUAdaMAQyGRgjbP8IZyY/LP7vPmHINSguLgY06dPh5eXF0aOHAk9PT1kZmYiLCwMLi4uqKyshIODA2QyGfbu3YuKigpUVFQAAHr16gUNDQ1ERkbC2dkZL7/8Mk/3sGHDsGLFCuzduxfLly9v0Y6wsDAEBgZi//79GDRoEPfGvHHTPQAsWbIE+/fvx3fffQc9PT1ORiKRQEtLS0GnQCBAVFQUJk6ciPHjx2Pt2rWwsLDA3bt38f333yMlJQVpaWlK7VmzZg12796NvLw8bl9Ma7Rmn0AgwIoVK7Bp0ya8+OKLePHFF7Fp0yZoa2tj9uzZAKCWv01MTHj9Nvpn8ODB3IyMg4MDLC0t4e7ujvDwcJSUlMDPzw8LFiyAvr4+APmDePfu3TFixAiIxWKcO3cOa9as4S1dWrx4Mb744gusXLkSCxYsQHp6OiIjI3lL0dS5dy2xcuVKuLu7Y/To0dwMRn5+vsI+j5a4c+eOwjksxsbGaGhogJ2dHUxMTBAREYE7d+7w2gH5cq333ntPYS+SqakpVq9ejR9++AEuLi5q26ISddOANYfS/lJ5qsqDNK/N0/PWVoGBVTFIGAOrYsHsYWrY4Cb/diilL6UCfnbKU3xfwPzkn/9nbFxPW6G0vy2n/nzSqK6uZv7+/szKyopJJBKmra3NzM3NWUBAAJPJZCw1NZXhwT1tXvLy8lhhYSETCoXswIEDSvUvXbqUjRgxolU7TE1NlfYRFBTEyaiyIyoqipMZN24c8/X15em+fPky8/DwYP369WMikYiZmpoyV1dXdv78eZ7uxMRE3nWbNm1iANRO+6uOfQ0NDSwoKIgZGxszsVjMxo8fzy5dusS1t+ZvZeTl5TGAn/aXMcZu3rzJnJ2dmZaWFjMyMmI+Pj6surqaa4+Li2NWVlZMV1eX6ejoMEtLS7Zp0yaFz7BUKmWvvPIKE4lEbNCgQWzHjh28dnXuXWt8+eWXzNTUlIlEImZlZcVL5dwatra2KvuPiopS6U/GGMvMzGQA2JkzZ5Tqnjp1Kps6dWqL/av73Rcwxlh7ApmKigpIJBKUA9BvjwKCeFw0OYV9s7b8NPWmCIKrIIYOAgBe1ixlso8VemP95NGYF5og2kkFAAkepip9XqiurkZeXh532jTRNVhYWGD+/Pnw8/PralOI5wR1v/u0ZIt4bhCGKi6Vr1sDIEIbNX5VCIEO/PFw2VWXL6unh98nD7ofBEE8hRQVFeHo0aO4fPky3n777a42hyAUoE3txLNNk9mRpjT+LgwFxH4CIEIbAXgC94B0eVREKOVZvi/P8tgI4gmlcT+BstLRMz8AwMnJCRs2bMBnn32GV155pRMs5pOfn9/iGPLz8zu9z2eBjvrt559/bvH6pwm1l2zV1NTwTimtqKjAwIEDackW8URTVyXflN64HEsYKj+BPRB+qJVFQBjKD07U0vm4N6/TW/knjhAGBHRuCnjiOYGWbNGSLWVcu3ZNZVv//v2Vbkp/kqirq8ONGzdUtg8aNEjh5Hqi4367d+8ebt26pbK9MeVxV9LpS7ZCQ0OxcePGTjGOIB4LAUB3bfk6Wf8HwUcjwXj4e+O/6gQmlEmLAFQEI8/6ErsAeTAfAvnhis/0WAniMfMkPDh2hKbnfRDq01G/aWlpPTN+pxkS4tklANAMRqvpeht5ooMNevgjupgQ9vA4F5odaj80Q0IzJATxPKHud1/tPSRisRj6+vq8QhBPLAGAINgPNajCZm3+adWqeGKDEUI9aO/Do+GBXwME8pmRpz4Yoc8JQRDEEwct6COeSQTBfoBBON4vBwKZHwL7hQMAgsvkT1P+as6aEMRzT4iKn59WnoUxEARBPGNQli3i2SMAXDAiZ+ODdSbyZ5EQPNxb8tRAb3Vbhx40n2zoM0wQBEGogAIS4tmkbNXDnyO05f+GADUR8i1TYkTIZ1EIgmgzdVXtuIgCRoIgCEIFFJAQzyTBiMBWSZPf/QRAmQzwk6EGVZwMQbRKAKCpVuqP54QAYLM2aMaDIAiC6DQoICGePULke0RQJuP9zgJ1uFIdCAQEdqmVxFNCSHBXW/CEEfLgu9PRGQ8KaAgAAsPHW9pDUVERFi1aBBMTE4jFYhgbG8PR0RHp6ekoKSnB0qVLYW5uDm1tbZiYmGDZsmUoLy9XqmvhwoXQ0NBAXFxcm2zYvXs3xo0bB0NDQxgaGmLixIk4c+YMTyY0NBSvvvoq9PT00Lt3b7z77ru4fPkyT8bOzg4rVqzg1V27dg3z5s3DgAEDIBaLYWZmBldXV2RmZnIyAoEAmpqauHnzJu/ad999F56enmqNQR37GGPYsGED+vXrBy0tLdjZ2SEnJ4drb6u/a2pqMGrUKAgEAmRnZ/Pa8vPzMXXqVOjo6KBnz55YtmwZ7t+/z7VLpVK4uLigb9++0NHRwahRo7Bv3z6ejoSEBNjb26NXr17Q19eHjY0NfvzxR55MTk4Opk2bhkGDBkEgEGDbtm1q+asp27dv57JUWVtbt+mwTGX3vJEbN27A29sbZmZm0NLSwuDBgxEUFMTzQ1McHBygoaGBjIyMNo+hNSggIZ49mjzoNM6S6GrTgyXRPgIEQPXTnlmqs+lIMKIsEKHghHiCmTZtGi5cuICYmBhcuXIFSUlJsLOzQ0lJCQoKClBQUICIiAhcunQJ0dHRSE5Ohre3t4IemUyG+Ph4rFq1CpGRkW2yQSqVwtXVFampqUhPT4eJiQkcHBx4h+KlpaVhyZIlyMjIwLFjx1BXVwcHBwdUValeY5mZmQlra2tcuXIFu3btQm5uLhITE2FhYQFfX1+erEAgwPr169tkd1PUsS8sLAyffPIJvvjiC5w9exbGxsawt7dHZWUlALTJ3wDwwQcfoF+/fgr19fX1cHZ2RlVVFX755RfExcXh0KFDvDGfOnUKI0eOxKFDh3Dx4kV4eXnBw8MD33//PSdz8uRJ2Nvb48iRIzh37hwmTJiAqVOnIisri5ORyWR44YUXsHnzZhgbG7fZb/Hx8VixYgXWrVuHrKwsjBs3DpMmTWr1FHd1+P3339HQ0IBdu3YhJycHW7duxc6dO7F27VoF2fz8fKSnp8PHx6fNn191UPsckuZUVFRAIpHQOSTEk8eD80cal2a9L9CWByZlMtTKdJ7e7Fq0Bp8gnnroHBL+WQTtnbVoL6y0bfJlZWUwNDSEVCqFra2tWtccPHgQbm5uqKqq4p2yHRMTg507dyI5ORl9+/ZFbm4uBg0a1DaDHlBfXw9DQ0N88cUX8PDwUCpz584d9O7dG2lpaRg/fjwA+dvyUaNGYdu2bWCMYcSIEdDU1MSZM2fQrRv/HXVZWRkMDAwAyIORVatWYcuWLcjOzsaIESMAyGdIDAwMEB0d3eYxNLePMYZ+/fphxYoVWL16NQD5DEefPn3w8ccfY9GiRUr1qPL30aNHsXLlShw6dAjDhg1DVlYWRo0axbVNmTIFf/75JxewxMXFwdPTE0VFRSq/m87OzujTpw/27NmjclzDhg3DzJkzlQZvgwYNwooVK1TOWCjj9ddfh5WVFXbs2MHVvfTSS3j33XcRGtr6A03Te64O4eHh2LFjB/744w9e/caNG/H7778jKCgIr732Gm7fvg0dHZ1W9XX6OSQE8TRxVwbUynQghg62SvAg41bQ0xuMEMQzRAhr58Z4gnjM6OrqQldXF4cPH+YdDt0SjcFm04djAIiMjISbmxskEgkmT56MqKiodtslk8lQW1sLIyOjFu0AoFImOzsbOTk58PX1VQhGAHDBSCNjx47FlClTsGZNK4d6qUlz+/Ly8lBYWAgHBwdORiwWw9bWFqdOnWpRT3N///3331iwYAG++eYbaGtrK1yTnp6O4cOH82ZPHB0dUVNTg3PnzrXYV0s+b2hoQGVlZYsybeH+/fs4d+4czyeAfOlUSz7pCMrGyBhDVFQU3NzcYGFhgaFDh+LAgQOd2i8FJMQzSWPgcVcGoGwVtkrkmbUIgnhEBKgXZIQwIBB+8o3xzyOrWhchnhyEQiGio6MRExMDAwMDvPHGG1i7di0uXryoVL64uBjBwcEKb/OvXr2KjIwMzJw5EwDg5uaGqKgoNDQ0tMsuf39/9O/fHxMnTlTazhjDypUr8eabb2L48OFKZa5evQoAsLCwULvf0NBQJCcnt2kPg7r2FRYWAgD69OnDk+3Tpw/X1hxl/maMwdPTE4sXL8bo0aOVXldYWKjQj6GhIUQikcq+vv32W5w9exbz5s1TOa4tW7agqqoKM2bMUCnTFv755x/U19e3yScd4fr16/j888+xePFiXv3x48chk8ng6OgIQP757exlW+0+GLFxpVdFp5lCEJ1E40usDfJ/ildG4JP8CKwsBCrUe8FFEERbqYH8O7cKQLhqsWUfAMsevBx4Hv9+BC8DEP7wbyjx5DNt2jQ4Ozvj559/Rnp6OpKTkxEWFob/9//+H29Dd0VFBZydnWFpaYmgoCCejsjISDg6OqJnz54AgMmTJ8Pb2xvHjx9XePvdGmFhYYiNjYVUKlW5BMbHxwcXL17EL7/8olJP42dQIFB/k5ylpSU8PDywevXqDr2hb8m+5vYwxpTaqMrfn3/+OSoqKlqdyVGmU1VfUqkUnp6e2L17N4YNG6ZUX2xsLDZs2IDvvvsOvXv3brHvtqKuTzpCQUEBnJycMH36dMyfP5/XFhkZiZkzZ3KzUK6urli1ahUuX74Mc3PzzjGAtZPr168zAFSoUKFChQqVNpY///yzvX9+n0ru3bvHcnNz2b1793j1MHi8pbPw9vZmJiYm3O8VFRXMxsaGvf322wpjrKurY3379mUCgYBpaGhwBQCbMWNGm/oNDw9nEomEnT17VqWMj48PGzBgAPvjjz8U2mxtbdny5csZY4ydP3+eAWD79+9vtV8ALDExkTHGWH5+PtPU1GSJiYnMxcWFzZ07t01jUGVf43Pl+fPnefXvvPMO8/Dw4NW15G8XFxfWrVs3BV9raGhwegIDA9nIkSN515WUlDAA7MSJE7x6qVTKdHV12a5du1SOKS4ujmlpabH//ve/LY7d1NSUbd26tUWZptTU1DANDQ2WkJDAq1+2bBkbP368Wjqa3nNV3Lp1iw0dOpS5u7uz+vp6XltxcTETi8VKffrBBx+02r+q735z2j1D0ri+LD8/HxKJpL1qnhkqKiowcOBA/Pnnn8/VRkVVkD8eQr7gQ/7gQ/7g86z7gzGGyspKpZl/iKcHS0tLHD58GID8M+vo6AixWIykpCSFWYsjR46gsrISWVlZ0NDQ4Op///13zJkzB8XFxejRo0erfYaHhyMkJAQ//vij0qVIjDEsXboUiYmJkEqlMDMza1HfqFGjYGlpiS1btmDmzJktbmpvysCBA+Hj44O1a9di8ODBrdqtrn1mZmYwNjbGsWPH8MorrwCQ76FIS0vDxx9/zMm15u/PPvsMISEPs8AUFBTA0dER8fHxeP311wEANjY2+Oijj3D79m307dsXAJCSkgKxWAxra2vuWqlUiilTpuDjjz/GwoULlY4rNjYWXl5eiI2NhbOzs9r+UAeRSARra2scO3YM//rXv7j6Y8eOwcXFpVP6uHXrFiZMmABra2tERUUpfA727duHAQMGcJ/3Rn766SeEhobio48+Utgv1S5aDW1UUF5ezgCw8vLy9qp4piB/8CF/PIR8wYf8wYf8wYf88WzytM6Q/PPPP2zChAnsm2++YRcuXGB//PEHO3DgAOvTpw/z8vJiFRUV7PXXX2cjRoxg165dY7dv3+ZKXV0dY0z+xn7mzJkKuhsaGlj//v3Ztm3bWrXj448/ZiKRiH377be8PiorKzmZ//znP0wikTCpVMqTkclknEzzt+WnT59menp67I033mA//PADu379Ortw4QILCQnhvYFHkxkSxuRvzSUSCdPU1FR7hkQd+zZv3swkEglLSEhgly5dYq6urqxv376soqKCMcbU8ndz8vLyGACWlZXF1dXV1bHhw4ezt99+m50/f54dP36cDRgwgPn4+HAyqampTFtbm61Zs4bXT3FxMSezf/9+JhQK2ZdffsmTKSsr42RqampYVlYWy8rKYn379mV+fn4sKyuLXb16VS2/xcXFse7du7PIyEiWm5vLVqxYwXR0dNiNGzfUut7W1pbNnj2bs6Gx3L59m926dYsNGTKEvfXWW+yvv/7ijaGRl19+ma1evVpBb0VFBROLxezw4cMt9q/uDAkFJJ0E+YMP+eMh5As+5A8+5A8+5I9nE3UfSp40qqurmb+/P7OysmISiYRpa2szc3NzFhAQwGQyGUtNTVW5LC8vL48VFhYyoVDIDhw4oFT/0qVL2YgRI1q1w9TUVGkfQUFBnIwqO6KiojiZcePGMV9fX57uy5cvMw8PD9avXz8mEomYqakpc3V15S2dah6QMMbYpk2bGAC1AxJ17GtoaGBBQUHM2NiYicViNn78eHbp0iWuvTV/K0NZQMIYYzdv3mTOzs5MS0uLGRkZMR8fH1ZdXc21z507V2k/tra2nIytra1SmaY+aey/JT2t8eWXXzJTU1MmEomYlZUVS0tLU/taVTYGBQWxqKgolf5kjLHMzEwGgJ05c0ap7qlTp7KpU6e22L+63/2On0PynOVSVwX5gw/54yHkCz7kDz7kDz7kj2cTdc8iIB4tFhYWmD9/Pvz8/LraFOI5Qd3vfrsXfYnFYgQFBUEsFrdXxTMF+YMP+eMh5As+5A8+5A8+5A+C6HyKiopw9OhRXL58GW+//XZXm0MQCrR7hoQgCIIgCEIdaIakZXR1dVW2HT16FOPGjeuQfisrK5SWlmLlypVYunRph3QpIz8/H5aWlirbc3NzYWJi0un9Pu101G8///wzJk2apLL97t27HbKvM3jkMyQEQRAEQRBEx8nOzlbZ1r9//w7rP3/+fId1tES/fv1aHANllVNOR/02evToFq9/mqCAhCAIgiAIogsZMmRIV5vQIYRC4VM/hq6go37T0tJ6ZvzerXURgiAIgiAIgiCIRwMFJARBEARBEARBdBkUkBAEQRAEQRAE0WVQQEIQBEEQBEEQRJdBAQlBEARBEARBEF0GBSQEQRAEQRAEQXQZFJAQBEEQBNEl+Aoeb2kPRUVFWLRoEUxMTCAWi2FsbAxHR0ekp6ejpKQES5cuhbm5ObS1tWFiYoJly5ahvLxcqa6FCxdCQ0MDcXFxbbJh9+7dGDduHAwNDWFoaIiJEyfizJkzPJnQ0FC8+uqr0NPTQ+/evfHuu+/i8uXLPBk7OzusWLGCV3ft2jXMmzcPAwYMgFgshpmZGVxdXZGZmcnJCAQCCAQCZGRk8K6tqalBjx49IBAIIJVKWx3HjRs34O3tDTMzM2hpaWHw4MEICgrC/fv3eXL5+fmYOnUqdHR00LNnTyxbtownI5VK4eLigr59+0JHRwejRo3Cvn37VPb7v//9D0KhEKNGjVJoO3ToECwtLSEWi2FpaYnExESVekJDQyEQCHg+rK2txerVqzFixAjo6OigX79+8PDwQEFBAe/ar776CnZ2dtDX14dAIEBZWVnLzmpGaWkp3N3dIZFIIJFI4O7urraOGzduQCAQqDyzJCEhAfb29ujVqxf09fVhY2ODH3/8UansX3/9BZFIBAsLizbZ3xoUkBAEQRAEQahg2rRpuHDhAmJiYnDlyhUkJSXBzs4OJSUlKCgoQEFBASIiInDp0iVER0cjOTkZ3t7eCnpkMhni4+OxatUqREZGtskGqVQKV1dXpKamIj09HSYmJnBwcMCtW7c4mbS0NCxZsgQZGRk4duwY6urq4ODggKqqKpV6MzMzYW1tjStXrmDXrl3Izc1FYmIiLCws4Ovry5MdOHAgoqKieHWJiYktnjLfnN9//x0NDQ3YtWsXcnJysHXrVuzcuRNr167lZOrr6+Hs7Iyqqir88ssviIuLw6FDh3j2nDp1CiNHjsShQ4dw8eJFeHl5wcPDA99//71Cn+Xl5fDw8MDbb7+t0Jaeno6ZM2fC3d0dFy5cgLu7O2bMmIHTp08ryJ49exZfffUVRo4cyauXyWQ4f/48AgMDcf78eSQkJODKlSt45513FOScnJx4Y20Ls2fPRnZ2NpKTk5GcnIzs7Gy4u7u3S1dzTp48CXt7exw5cgTnzp3DhAkTMHXqVGRlZSnIRkdHY8aMGZDJZPjf//7XKf0DgIAxxjpNG0EQBEEQRDOqq6uRl5cHMzMzaGpqcvXtnbVoL1va+MRTVlYGQ0NDSKVS2NraqnXNwYMH4ebmhqqqKgiFD8+fjomJwc6dO5GcnIy+ffsiNzcXgwYNaptBD6ivr4ehoSG++OILeHh4KJW5c+cOevfujbS0NIwfPx6AfIZk1KhR2LZtGxhjGDFiBDQ1NXHmzBl068Z/R11WVgYDAwMA8hmSgIAAfPbZZygsLISWlhYAwMHBAWPGjEFwcDBSU1NhZ2fX5rGEh4djx44d+OOPPwAAR48exZQpU/Dnn39yJ5XHxcXB09MTRUVF0NfXV6rH2dkZffr0wZ49e3j1s2bNwosvvggNDQ0cPnyYN0swc+ZMVFRU4OjRo1ydk5MTDA0NERsby9XdvXsXVlZW2L59O0JCQjgfquLs2bN47bXXcPPmTZiYmPDapFIpJkyYgNLSUs6/rfHbb7/B0tISGRkZeP311wEAGRkZsLGxwe+//w5zc/MWr79x4wbMzMyQlZWldJZIGcOGDcPMmTOxfv16ro4xhiFDhmD79u1ITU1FUVGRgr+bo+q73xyaISEIgiAIglCCrq4udHV1cfjwYdTU1Kh1TXl5OfT19XnBCABERkbCzc0NEokEkydPVphtaAsymQy1tbUwMjJq0Q4AKmWys7ORk5MDX19fhWAEgMLDsrW1NczMzHDo0CEAwJ9//omTJ092+C19eXk5z8b09HQMHz6cC0YAwNHRETU1NTh37pzaegAgKioK169fR1BQkNJr0tPT4eDgwKtzdHTEqVOneHVLliyBs7MzJk6cqPaYBAKB2gFHa6Snp0MikXDBCACMGTMGEolEwdbOoKGhAZWVlQr+TE1NhUwmw8SJE+Hu7o4DBw6gsrKyU/qkgIQgCIIgCEIJQqEQ0dHRiImJgYGBAd544w2sXbsWFy9eVCpfXFyM4OBgLFq0iFd/9epVZGRkYObMmQAANzc3REVFoaGhoV12+fv7o3///iofkBljWLlyJd58800MHz5cqczVq1cBoE17AebNm8e9EY+KisLkyZPRq1evNlr/kOvXr+Pzzz/H4sWLubrCwkL06dOHJ2doaAiRSITCwkKler799lucPXsW8+bN4+quXr0Kf39/7Nu3TyE4bKmvPn368PqJi4vD+fPnERoaqtaYqqur4e/vj9mzZ6uczWkrhYWF6N27t0J97969VfqkI2zZsgVVVVWYMWMGrz4yMhKzZs2ChoYGhg0bhiFDhiA+Pr5T+qSAhCAIgiAIQgXTpk1DQUEBkpKS4OjoCKlUCisrK0RHR/PkKioq4OzsDEtLS4U38pGRkXB0dETPnj0BAJMnT0ZVVRWOHz/eZnvCwsIQGxuLhIQElUtgfHx8cPHiRd6yo+Y0rtgXCNRfN+fm5ob09HT88ccfiI6OhpeXV9uMb0JBQQGcnJwwffp0zJ8/n9emzCbGmNJ6qVQKT09P7N69G8OGDQMgX9I2e/ZsbNy4EUOHDm3RjuY6m/bz559/Yvny5di7d2+Ly40aqa2txaxZs9DQ0IDt27e3Kt8W2uKTjhAbG4sNGzYgPj6eFwSVlZUhISEBbm5uXJ2bm1urS7bURXnISBAEQRAEQQAANDU1YW9vD3t7e6xfvx7z589HUFAQPD09AQCVlZVwcnKCrq4uEhMT0b17d+7a+vp6fP311ygsLOS9qa+vr0dkZKTCkqGWiIiIwKZNm3D8+HGFzdWNLF26FElJSTh58iQGDBigUlfjg/pvv/2m9r6CHj16YMqUKfD29kZ1dTUmTZrUriU7BQUFmDBhAmxsbPDVV1/x2oyNjRU2lZeWlqK2tlZhNiMtLQ1Tp07FJ598wttLU1lZiczMTGRlZcHHxweAfBkSYwxCoRApKSl46623YGxsrDDDUFRUxPVz7tw5FBUVwdrammuvr6/HyZMn8cUXX6CmpgYaGhoA5MHIjBkzkJeXhxMnTnTa7EijT/7++2+F+jt37ij4pCPEx8fD29sbBw8eVJh9279/P6qrq3nLxhhjaGhoQG5uLiwtLTvUN82QEARBEARBtAFLS0sue1VFRQUcHBwgEomQlJSk8Cb9yJEjqKysRFZWFrKzs7ly8OBBHD58GMXFxWr1GR4ejuDgYCQnJ2P06NEK7Ywx+Pj4ICEhASdOnICZmVmL+kaNGgVLS0ts2bJF6dIxVSllvby8IJVK4eHhwT2Mt4Vbt27Bzs4OVlZWiIqKUti/YmNjg19//RW3b9/m6lJSUiAWi3mBgVQqhbOzMzZv3oyFCxfydOjr6+PSpUs8fy9evBjm5ubIzs7mHqptbGxw7Ngx3rUpKSkYO3YsAODtt99W0DN69GjMmTMH2dnZCsHI1atXcfz4cfTo0aPNfmkJGxsblJeX81I9nz59GuXl5ZytHSU2Nhaenp7Yv38/nJ2dFdojIyPh6+vL88WFCxcwYcKETpkloRkSgiAIgiAIJRQXF2P69Onw8vLCyJEjoaenh8zMTISFhcHFxQWVlZVwcHCATCbD3r17UVFRgYqKCgBAr169oKGhgcjISDg7O+Pll1/m6R42bBhWrFiBvXv3Yvny5S3aERYWhsDAQOzfvx+DBg3i3uo3broH5Buv9+/fj++++w56enqcjEQi4bJiNUUgECAqKgoTJ07E+PHjsXbtWlhYWODu3bv4/vvvkZKSgrS0NIXrnJyccOfOnXbNABQUFMDOzg4mJiaIiIjAnTt3uDZjY2MA8sxdlpaWcHd3R3h4OEpKSuDn54cFCxZwfTYGI8uXL8e0adO4sYpEIhgZGaFbt24Ke2d69+4NTU1NXv3y5csxfvx4fPzxx3BxccF3332H48eP45dffgEA6OnpKejR0dFBjx49uPq6ujq89957OH/+PP773/+ivr6es8fIyAgikQiAfB9IYWEhrl27BgC4dOkS9PT0YGJi0mJyAgB46aWX4OTkhAULFmDXrl0A5GfaTJkypdUMW01pfi4NIA+uDx06BA8PD3z66acYM2YMZ7+WlhYkEgmys7Nx/vx57Nu3T2HPkaurK9atW4fQ0FDezGCbYQRBEARBEI+Qe/fusdzcXHbv3r2uNqVNVFdXM39/f2ZlZcUkEgnT1tZm5ubmLCAggMlkMpaamsoAKC15eXmssLCQCYVCduDAAaX6ly5dykaMGNGqHaampkr7CAoK4mRU2REVFcXJjBs3jvn6+vJ0X758mXl4eLB+/foxkUjETE1NmaurKzt//jxPd2JiolLbSktLGQCWmpra6jiioqJU2tmUmzdvMmdnZ6alpcWMjIyYj48Pq66u5trnzp2rVIetra3KvoOCgtjLL7+sUH/w4EFmbm7OunfvziwsLNihQ4daHIOtrS1bvnw593teXp7KMTX1SVBQUKv3pyWKi4vZnDlzmJ6eHtPT02Nz5sxhpaWlal3bko15eXnM1tZWadvcuXMZY4z5+PgwS0tLpbqLioqYhoaGSr+p+92nc0gIgiAIgnikqHsWAfFosbCwwPz58+Hn59fVphDPCep+92nJFkEQBEEQxDNMUVERjh49isuXLys9sZwguhra1E4QBEEQBNGFNO4FUVZ+/vnnDut3cnLChg0b8Nlnn+GVV17pBIuVs2nTJpXjmDRp0iPr92mno35bvHixyuubnvHyJENLtgiCIAiCeKTQkq2WadzorIz+/fsr3ZT+JFJSUoKSkhKlbVpaWujfv/9jtujpoKN+Kyoq4pIpNEdfX1/poYqPC1qyRRAEQRAE8RQwZMiQrjahUzAyMmo1YxShSEf91rt37y4NOjoDWrJFEARBEARBEESXQQEJQRAEQRAEQRBdBgUkBEEQBEEQBEF0GRSQEARBEARBEATRZVBAQhAEQRAEQRBEl0EBCUEQBEEQBEEQXQYFJARBEARBdAmlgsdb2kNRUREWLVoEExMTiMViGBsbw9HREenp6SgpKcHSpUthbm4ObW1tmJiYYNmyZSgvL1eqa+HChdDQ0EBcXFybbNi9ezfGjRsHQ0NDGBoaYuLEiThz5gxPJjQ0FK+++ir09PTQu3dvvPvuu7h8+TJPxs7ODitWrODVXbt2DfPmzcOAAQMgFothZmYGV1dXZGZmcjICgQACgQAZGRm8a2tqatCjRw8IBAJIpdJWx3Hjxg14e3vDzMwMWlpaGDx4MIKCgnD//n2eXH5+PqZOnQodHR307NkTy5Yt48lIpVK4uLigb9++0NHRwahRo7Bv3z6V/f7vf/+DUCjEqFGjFNoOHToES0tLiMViWFpaIjExkde+Y8cOjBw5Evr6+tDX14eNjQ2OHj3Kk0lISICjoyN69uwJgUCA7OxsXntbPyfKKC0thbu7OyQSCSQSCdzd3VFWVqbWtTdu3FBqV1P77e3t0atXL26MP/74o1LZv/76CyKRCBYWFmrbrg4UkBAEQRAEQahg2rRppi4+xQABAABJREFUuHDhAmJiYnDlyhUkJSXBzs4OJSUlKCgoQEFBASIiInDp0iVER0cjOTkZ3t7eCnpkMhni4+OxatUqREZGtskGqVQKV1dXpKamIj09HSYmJnBwcMCtW7c4mbS0NCxZsgQZGRk4duwY6urq4ODggKqqKpV6MzMzYW1tjStXrmDXrl3Izc1FYmIiLCws4Ovry5MdOHAgoqKieHWJiYnQ1dVVexy///47GhoasGvXLuTk5GDr1q3YuXMn1q5dy8nU19fD2dkZVVVV+OWXXxAXF4dDhw7x7Dl16hRGjhyJQ4cO4eLFi/Dy8oKHhwe+//57hT7Ly8vh4eGBt99+W6EtPT0dM2fOhLu7Oy5cuAB3d3fMmDEDp0+f5mQGDBiAzZs3IzMzE5mZmXjrrbfg4uKCnJwcTqaqqgpvvPEGNm/erHTcbfmcqGL27NnIzs5GcnIykpOTkZ2dDXd3d7Wvb4mTJ0/C3t4eR44cwblz5zBhwgRMnToVWVlZCrLR0dGYMWMGZDIZ/ve//3VK/wAARhAEQRAE8Qi5d+8ey83NZffu3ePVl+DxlrZSWlrKADCpVKr2NQcOHGAikYjV1tby6qOjo9mYMWNYWVkZ09LSYnl5eW036AF1dXVMT0+PxcTEqJQpKipiAFhaWhpXZ2try5YvX84YY6yhoYENGzaMWVtbs/r6eoXrS0tLuZ8BsICAAKavr89kMhlXb29vzwIDAxkAlpqa2q6xhIWFMTMzM+73I0eOsG7durFbt25xdbGxsUwsFrPy8nKVeiZPnszmzZunUD9z5kwWEBDAgoKC2Msvv8xrmzFjBnNycuLVOTo6slmzZrVos6GhIft//+//KdTn5eUxACwrK6vF6xlT/TlRRm5uLgPAMjIyuLr09HQGgP3++++tXt8WuxqxtLRkGzdu5NU1NDSwF154gSUnJ7PVq1cr9XdzVH33m0MzJARBEARBEErQ1dWFrq4uDh8+jJqaGrWuKS8vh76+PoRCIa8+MjISbm5ukEgkmDx5ssJsQ1uQyWSora1t8XTvxuVAqmSys7ORk5MDX19fdOum+DhoYGDA+93a2hpmZmY4dOgQAODPP//EyZMnO/yWvry8nGdjeno6hg8fjn79+nF1jo6OqKmpwblz59TWAwBRUVG4fv06goKClF6Tnp4OBwcHXp2joyNOnTqlVL6+vh5xcXGoqqqCjY1Nq2NrCVWfE1V2SiQSvP7661zdmDFjIJFIVNraERoaGlBZWangz9TUVMhkMkycOBHu7u44cOAAKisrO6VPCkgIgiAIgiCUIBQKER0djZiYGBgYGOCNN97A2rVrcfHiRaXyxcXFCA4OxqJFi3j1V69eRUZGBmbOnAkAcHNzQ1RUFBoaGtpll7+/P/r374+JEycqbWeMYeXKlXjzzTcxfPhwpTJXr14FgDbtBZg3bx727NkDQP6wP3nyZPTq1auN1j/k+vXr+Pzzz7F48WKurrCwEH369OHJGRoaQiQSobCwUKmeb7/9FmfPnsW8efO4uqtXr8Lf3x/79u1T+dCvrK8+ffoo9HPp0iXo6upCLBZj8eLFSExMhKWlZZvG2hRVnxNVFBYWonfv3gr1vXv3VumTjrBlyxZUVVVhxowZvPrIyEjMmjULGhoaGDZsGIYMGYL4+PhO6ZMCEoIgCIIgCBVMmzYNBQUFSEpKgqOjI6RSKaysrBAdHc2Tq6iogLOzMywtLRXeyEdGRnKbngFg8uTJqKqqwvHjx9tsT1hYGGJjY5GQkABNTU2lMj4+Prh48SJiY2NV6mGMAZBvWFcXNzc3pKen448//kB0dDS8vLzaZnwTCgoK4OTkhOnTp2P+/Pm8NmU2McaU1kulUnh6emL37t0YNmwYAPlMxuzZs7Fx40YMHTq0RTua61TWj7m5ObKzs5GRkYH//Oc/mDt3LnJzc9UaZ3Na+py0xU5VtnaU2NhYbNiwAfHx8bwgqKysDAkJCXBzc+Pq3NzcuAC1o7Q+T0QQBEEQBPEco6mpCXt7e9jb22P9+vWYP38+goKC4OnpCQCorKyEk5MTdHV1kZiYiO7du3PX1tfX4+uvv0ZhYSHvTX19fT0iIyMVlgy1REREBDZt2oTjx49j5MiRSmWWLl2KpKQknDx5EgMGDFCpq/FB/bffflOafUoZPXr0wJQpU+Dt7Y3q6mpMmjSpXUt2CgoKMGHCBNjY2OCrr77itRkbG/M2lQPyDFO1tbUKsxlpaWmYOnUqPvnkE3h4eHD1lZWVyMzMRFZWFnx8fADIlyExxiAUCpGSkoK33noLxsbGCjMMRUVFCv2IRCIMGTIEADB69GicPXsWn376KXbt2tWmcbf0OWkJY2Nj/P333wr1d+7cUbC1I8THx8Pb2xsHDx5UmH3bv38/qqurecvGGGNoaGhAbm5uh2aMAJohIQiCIAiCaBOWlpZc9qqKigo4ODhAJBIhKSlJYdbiyJEjqKysRFZWFrKzs7ly8OBBHD58GMXFxWr1GR4ejuDgYCQnJ2P06NEK7Ywx+Pj4ICEhASdOnICZmVmL+kaNGgVLS0ts2bJF6dIxVSllvby8IJVK4eHhAQ0NDbVsb8qtW7dgZ2cHKysrREVFKexfsbGxwa+//orbt29zdSkpKRCLxbC2tubqpFIpnJ2dsXnzZixcuJCnQ19fH5cuXeL5e/HixdxMR+NDtY2NDY4dO8a7NiUlBWPHjm1xDIwxtfcUNdLa56QlbGxsUF5ezkv1fPr0aZSXl7dqq7rExsbC09MT+/fvh7Ozs0J7ZGQkfH19eT69cOECJkyY0CmzJDRDQhAEQRAEoYTi4mJMnz4dXl5eGDlyJPT09JCZmYmwsDC4uLigsrISDg4OkMlk2Lt3LyoqKlBRUQEA6NWrFzQ0NBAZGQlnZ2e8/PLLPN3Dhg3DihUrsHfvXixfvrxFO8LCwhAYGIj9+/dj0KBB3Fv9xk33ALBkyRLs378f3333HfT09DgZiUQCLS0tBZ0CgQBRUVGYOHEixo8fj7Vr18LCwgJ3797F999/j5SUFKSlpSlc5+TkhDt37kBfX7/N/iwoKICdnR1MTEwQERGBO3fucG3GxsYAAAcHB1haWsLd3R3h4eEoKSmBn58fFixYwPXZGIwsX74c06ZN48YqEolgZGSEbt26Keyd6d27NzQ1NXn1y5cvx/jx4/Hxxx/DxcUF3333HY4fP45ffvmFk1m7di0mTZqEgQMHorKyEnFxcZBKpUhOTuZkSkpKkJ+fj4KCAgDgzn8xNjaGsbGxWp+TlnjppZfg5OSEBQsWcLMyCxcuxJQpU2Bubq62/5ufSwPIg+tDhw7Bw8MDn376KcaMGcP5U0tLCxKJBNnZ2Th//jz27dunsOfI1dUV69atQ2hoqNozPkpRO/8XQRAEQRBEO1A39eeTRnV1NfP392dWVlZMIpEwbW1tZm5uzgICAphMJmOpqakMgNKSl5fHCgsLmVAoZAcOHFCqf+nSpWzEiBGt2mFqaqq0j6CgIE5GlR1RUVGczLhx45ivry9P9+XLl5mHhwfr168fE4lEzNTUlLm6urLz58/zdCcmJiq1rTE1sjppf6OiolTa2ZSbN28yZ2dnpqWlxYyMjJiPjw+rrq7m2ufOnatUh62trcq+laX9ZYyxgwcPMnNzc9a9e3dmYWHBDh06xGv38vJipqamTCQSsV69erG3336bpaSkqDWuxvvT2udEHYqLi9mcOXOYnp4e09PTY3PmzOGlZm6JxrS/qvq3tbVV2jZ37lzGGGM+Pj7M0tJSqe6ioiKmoaGh4LdG1P3uCxh7sKuJIAiCIAjiEVBdXY28vDyYmZm1aakK0blYWFhg/vz58PPz62pTiOcEdb/7tGSLIAiCIAjiGaaoqAhHjx7F5cuXlZ5YThBdDW1qJwiCIAiC6EIa94IoKz///HOH9Ts5OWHDhg347LPP8Morr3SCxcrZtGmTynFMmjTpkfX7tNNRvy1evFjl9U3PeHmSoSVbBEEQBEE8UmjJVstcu3ZNZVv//v2Vbkp/EikpKUFJSYnSNi0tLfTv3/8xW/R00FG/FRUVcZvkm6Ovr6/0UMXHBS3ZIgiCIAiCeApoPOPiacfIyAhGRkZdbcZTR0f91rt37y4NOjoDWrJFEARBEARBEESXQQEJQRAEQRAEQRBdBgUkBEEQBEEQBEF0GRSQEARBEARBEATRZVBAQhAEQRAEQRBEl0EBCUEQBEEQBEEQXQal/SUIgiAIomsQfPl4+2NLHm9/BEGoBc2QEARBEARBqKCoqAiLFi2CiYkJxGIxjI2N4ejoiPT0dJSUlGDp0qUwNzeHtrY2TExMsGzZMpSXlyvVtXDhQmhoaCAuLq5NNuzevRvjxo2DoaEhDA0NMXHiRJw5c4YnExoaildffRV6enro3bs33n33XVy+fJknY2dnhxUrVvDqrl27hnnz5mHAgAEQi8UwMzODq6srMjMzORmBQACBQICMjAzetTU1NejRowcEAgGkUmmr47hx4wa8vb1hZmYGLS0tDB48GEFBQbh//z5PLj8/H1OnToWOjg569uyJZcuW8WSkUilcXFzQt29f6OjoYNSoUdi3b5/Kfv/3v/9BKBRi1KhRCm2HDh2CpaUlxGIxLC0tkZiYyGtvza+1tbVYvXo1RowYAR0dHfTr1w8eHh4oKCjg6fnqq69gZ2cHfX19CAQClJWVteqvppSWlsLd3R0SiQQSiQTu7u5q67hx4wYEAgGys7OVtickJMDe3h69evWCvr4+bGxs8OOPPyqV/euvvyASiWBhYdEm+1uDAhKCIAiCIAgVTJs2DRcuXEBMTAyuXLmCpKQk2NnZoaSkBAUFBSgoKEBERAQuXbqE6OhoJCcnw9vbW0GPTCZDfHw8Vq1ahcjIyDbZIJVK4erqitTUVKSnp8PExAQODg64desWJ5OWloYlS5YgIyMDx44dQ11dHRwcHFBVVaVSb2ZmJqytrXHlyhXs2rULubm5SExMhIWFBXx9fXmyAwcORFRUFK8uMTERurq6ao/j999/R0NDA3bt2oWcnBxs3boVO3fuxNq1azmZ+vp6ODs7o6qqCr/88gvi4uJw6NAhnj2nTp3CyJEjcejQIVy8eBFeXl7w8PDA999/r9BneXk5PDw88Pbbbyu0paenY+bMmXB3d8eFCxfg7u6OGTNm4PTp05xMa36VyWQ4f/48AgMDcf78eSQkJODKlSt45513eH3JZDI4OTnxxtoWZs+ejezsbCQnJyM5ORnZ2dlwd3dvl67mnDx5Evb29jhy5AjOnTuHCRMmYOrUqcjKylKQjY6OxowZMyCTyfC///2vU/oHAAFjjHWaNoIgCIIgiGZUV1cjLy8PZmZm0NTUfNjwhC/ZKisrg6GhIaRSKWxtbdW65uDBg3Bzc0NVVRWEwocr42NiYrBz504kJyejb9++yM3NxaBBg9pkTyP19fUwNDTEF198AQ8PD6Uyd+7cQe/evZGWlobx48cDkM+QjBo1Ctu2bQNjDCNGjICmpibOnDmDbt3476jLyspgYGAAQD5DEhAQgM8++wyFhYXQ0tICADg4OGDMmDEIDg5Gamoq7Ozs2jyW8PBw7NixA3/88QcA4OjRo5gyZQr+/PNP9OvXDwAQFxcHT09PFBUVQV9fX6keZ2dn9OnTB3v27OHVz5o1Cy+++CI0NDRw+PBh3izBzJkzUVFRgaNHj3J1Tk5OMDQ0RGxsrNJ+lPm1OWfPnsVrr72GmzdvwsTEhNcmlUoxYcIElJaWcv5tjd9++w2WlpbIyMjA66+/DgDIyMiAjY0Nfv/9d5ibm7d4/Y0bN2BmZoasrCyls0TKGDZsGGbOnIn169dzdYwxDBkyBNu3b0dqaiqKiooU/N0cld/9ZtAMCUEQBEEQhBJ0dXWhq6uLw4cPo6amRq1rysvLoa+vzwtGACAyMhJubm6QSCSYPHmywmxDW5DJZKitrYWRkVGLdgBQKZOdnY2cnBz4+voqBCMAFB6Wra2tYWZmhkOHDgEA/vzzT5w8ebLDb+nLy8t5Nqanp2P48OFcMAIAjo6OqKmpwblz59TWAwBRUVG4fv06goKClF6Tnp4OBwcHXp2joyNOnTrVYj+Aar82yggEArUDjtZIT0+HRCLhghEAGDNmDCQSSYu2tpeGhgZUVlYqjDE1NRUymQwTJ06Eu7s7Dhw4gMrKyk7pkwISgiAIgiAIJQiFQkRHRyMmJgYGBgZ44403sHbtWly8eFGpfHFxMYKDg7Fo0SJe/dWrV5GRkYGZM2cCANzc3BAVFYWGhoZ22eXv74/+/ftj4sSJStsZY1i5ciXefPNNDB8+XKnM1atXAaBNewHmzZvHvRGPiorC5MmT0atXrzZa/5Dr16/j888/x+LFi7m6wsJC9OnThydnaGgIkUiEwsJCpXq+/fZbnD17FvPmzePqrl69Cn9/f+zbt08hOGyprz59+qjsRx2/VldXw9/fH7Nnz1Y5m9NWCgsL0bt3b4X63r17q7S1I2zZsgVVVVWYMWMGrz4yMhKzZs2ChoYGhg0bhiFDhiA+Pr5T+qSAhCAIgiAIQgXTpk1DQUEBkpKS4OjoCKlUCisrK0RHR/PkKioq4OzsDEtLS4U38pGRkXB0dETPnj0BAJMnT0ZVVRWOHz/eZnvCwsIQGxuLhIQElUtgfHx8cPHiRZXLjgD5wzUgX46lLm5ubkhPT8cff/yB6OhoeHl5tc34JhQUFMDJyQnTp0/H/PnzeW3KbGKMKa2XSqXw9PTE7t27MWzYMADyJW2zZ8/Gxo0bMXTo0BbtaK5TVT9A636tra3FrFmz0NDQgO3bt7fYb1tpi086QmxsLDZs2ID4+HheEFRWVoaEhAS4ublxdW5ubq0u2VIXSvtLEARBEATRApqamrC3t4e9vT3Wr1+P+fPnIygoCJ6engCAyspKODk5QVdXF4mJiejevTt3bX19Pb7++msUFhby3tTX19cjMjJSYclQS0RERGDTpk04fvw4Ro4cqVRm6dKlSEpKwsmTJzFgwACVuhof1H/77Te19xX06NEDU6ZMgbe3N6qrqzFp0qR2LdkpKCjAhAkTYGNjg6+++orXZmxszNtUDsgzTNXW1irMZqSlpWHq1Kn45JNPeHtpKisrkZmZiaysLPj4+ACQL0NijEEoFCIlJQVvvfUWjI2NFWYYioqKFPoBWvdrbW0tZsyYgby8PJw4caLTZkcAuU/+/vtvhfo7d+4otbW9xMfHw9vbGwcPHlSYfdu/fz+qq6t5y8YYY2hoaEBubi4sLS071DfNkBCEEqKjo7k0h8pSGTZu7BIIBO3axNfZDBo0iPvD2FHs7Oy4sQsEAmhqasLS0hIhISEKqRkb+fvvv7F27VqMGjUK+vr6EIlEGDBgAP79738jKSkJ9fX1nKxUKuXpFwgEMDQ0xOuvv46YmJhOGQNBEMSjxNLSksuyVFFRAQcHB4hEIiQlJSnMWhw5cgSVlZXIyspCdnY2Vw4ePIjDhw+juLhYrT7Dw8MRHByM5ORkjB49WqGdMQYfHx8kJCTgxIkTMDMza1HfqFGjYGlpiS1btihdOqYqpayXlxekUik8PDygoaGhlu1NuXXrFuzs7GBlZYWoqCiF/Ss2Njb49ddfcfv2ba4uJSUFYrEY1tbWXJ1UKoWzszM2b96MhQsX8nTo6+vj0qVLPH8vXrwY5ubmyM7O5h6qbWxscOzYMd61KSkpGDt2LPe7On5tDEauXr2K48ePo0ePHm32S0vY2NigvLycl+r59OnTKC8v59naEWJjY+Hp6Yn9+/fD2dlZoT0yMhK+vr48n164cAETJkzolFkSmiEhiBbQ09NDZGSkQtCRlpaG69evQ09Pr2sMa0ZiYmKnvo154YUXuJzud+7cwf/7f/8PgYGByM/PV3iblZGRgXfeeQeMMfznP//BmDFjoKuri/z8fHz//ff497//jV27dimkwdy0aRMmTJgAAPjnn3/w9ddfw9PTExUVFVi6dGmnjYUgCKK9FBcXY/r06fDy8sLIkSOhp6eHzMxMhIWFwcXFBZWVlXBwcIBMJsPevXtRUVGBiooKAECvXr2goaGByMhIODs74+WXX+bpHjZsGFasWIG9e/di+fLlLdoRFhaGwMBA7N+/H4MGDeLe6jduugeAJUuWYP/+/fjuu++gp6fHyUgkEi4rVlMEAgGioqIwceJEjB8/HmvXroWFhQXu3r2L77//HikpKUhLS1O4zsnJCXfu3GnX35yCggLY2dnBxMQEERERuHPnDtdmbGwMQJ65y9LSEu7u7ggPD0dJSQn8/PywYMECrs/GYGT58uWYNm0aN1aRSAQjIyN069ZNYY9H7969oampyatfvnw5xo8fj48//hguLi747rvvcPz4cfzyyy+cTGt+raurw3vvvYfz58/jv//9L+rr6zkZIyMjiEQiAPJ9IIWFhbh27RoA4NKlS9DT04OJiUmLG+QB4KWXXoKTkxMWLFiAXbt2AZCfaTNlypRWM2w1pfm5NIA8uD506BA8PDzw6aefYsyYMZz9WlpakEgkyM7Oxvnz57Fv3z6FPUeurq5Yt24dQkNDeTODbYYRBKFAVFQUA8Dmz5/PtLS0WHl5Oa/dzc2N2djYsGHDhjFbW9uuMfIRYWtry4YNG8arq62tZS+++CITiUTs3r17XH1paSnr06cPMzMzYwUFBUr1XbhwgZ04cYL7PTU1lQFgBw8e5MnV19ezQYMGMRsbm04cDUEQTwL37t1jubm5vP8/ngaqq6uZv78/s7KyYhKJhGlrazNzc3MWEBDAZDIZ9/+ZspKXl8cKCwuZUChkBw4cUKp/6dKlbMSIEa3aYWpqqrSPoKAgTkaVHVFRUZzMuHHjmK+vL0/35cuXmYeHB+vXrx8TiUTM1NSUubq6svPnz/N0JyYmKrWttLSUAWCpqamtjqPxb6uy0pSbN28yZ2dnpqWlxYyMjJiPjw+rrq7m2ufOnatUR0t/j4OCgtjLL7+sUH/w4EFmbm7OunfvziwsLNihQ4d47a35NS8vT6VMU58EBQW1en9aori4mM2ZM4fp6ekxPT09NmfOHFZaWqrWtS3ZmJeXx2xtbZW2zZ07lzHGmI+PD7O0tFSqu6ioiGloaCj4rRF1v/sUkBCEEhr/0/zpp5+YlpYW27lzJ9dWVlbGtLS02O7du5UGJMXFxew///kP69evH+vevTszMzNja9eu5f1nyhhjBw4cYK+99hrT19dnWlpazMzMjM2bN49rv3fvHlu5ciV7+eWXmb6+PjM0NGRjxoxhhw8fVrDX1NSU+4+jkdLSUrZy5UpmZmbGRCIR69WrF5s0aRL77bffWhy7soCEMcamT5/OALDbt29zdWFhYUqDi5ZQFZAwxtjw4cPZ+PHj1dZFEMTTwdMakDxrmJubs/Dw8K42g3iOUPe7T0u2CKIF9PX18d5772HPnj1cGsfY2Fh069YNM2fOxLZt23jy1dXVmDBhAq5fv46NGzdi5MiR+PnnnxEaGors7Gz88MMPAB6eDjtz5kxs2LABmpqauHnzJk6cOMHpqqmp4aaq+/fvj/v37+P48eP497//jaioKJWHYQHyDX1vvvkmbty4gdWrV+P111/H3bt3cfLkSdy+fbtNaR4bycvLg4GBAS/F47Fjx6ChoYHJkye3WV9DQwPq6uoAyJdFREVF4ddff1VYEkYQBEF0jKKiIhw9ehSXL19WemI5QXQ1FJAQRCt4eXlhwoQJyMnJwbBhw7Bnzx5Mnz5d6f6RmJgYXLx4EQcOHMD06dMBAPb29tDV1cXq1atx7Ngx2Nvb49SpU2CMYefOnZBIJNz1TTemSyQS3sFZ9fX1ePvtt1FaWopt27a1GJBs27YNOTk5OHbsGC9Txr///W+1x90YLPzzzz/YsWMHMjMzsXPnTt4mxj///BO9evWCtrY279qGhgbeJslu3bopbFxszMffVGbdunVYsGCB2jYSBEE8CzTuA1HG0aNHMW7cuA7pd3JyQmlpKT777DO88sorHdLVEps2bcKmTZuUto0bN453IjrxkI76bfHixdi7d6/SNjc3N+zcubPDNj5qKCAhiFawtbXF4MGDsWfPHnh6euLs2bPYsmWLUtkTJ05AR0cH7733Hq/e09MTq1evxk8//QR7e3u8+uqrAIAZM2bA29sbb7zxBvr376+g7+DBg9i2bRsuXLjAZXQBoDL3fCNHjx7F0KFDVR6a1Ro5OTkKm9PWrFmjcNiXKlauXIlPP/2U+93Z2Rn//e9/eTIff/wx3nrrLQDybC4//fQTNm/ejJqaGoSHh7fLboIgiKeR7OxslW3K/ja0lfPnz3dYhzosXrxY4TC9RpRtrCfkdNRvH374Ifz8/JS2dWbCm0cJBSQE0QoCgQDz5s3DZ599hurqagwdOlTl26ri4mIYGxsrHFTUu3dvCIVCLr3j+PHjcfjwYXz22Wfw8PBATU0Nhg0bhnXr1sHV1RUAkJCQgBkzZmD69OlYtWoVjI2NIRQKsWPHjlZT7N25cwcmJibtHvPgwYMRFxcHxhhu3ryJkJAQhIaGYuTIkZg1axYnZ2JigqtXr0Imk/FmSXx9fbnDk9555x2lfbzwwgu81JUTJ05EaWkptmzZAm9v73YtKyMI4smGPTiMj+AzZMiQrjahUzAyMmo1YxShSEf91rt3b6UnuT8JqPudp3NICEINPD098c8//2Dnzp2YN2+eSrkePXrg77//VvgCFhUVoa6ujjulFwBcXFzw008/oby8HFKpFAMGDMDs2bORnp4OANi7dy/MzMwQHx+Pd999F2PGjMHo0aNRU1PTqr29evXCX3/91c7RymdgRo8ejVdffRXvvfcefvrpJ/Tp0wcrVqzA3bt3OTl7e3vU19fjyJEjvOsHDhyI0aNHY/To0VzKQ3UYOXIkGGO4ePFiu20nCOLJo3HGVSaTdbElBEE8Thq/862lBKYZEoJQg/79+2PVqlX4/fffMXfuXJVyb7/9Ng4cOIDDhw/jX//6F1f/9ddfc+3NEYvFsLW1hYGBAX788UdkZWXBxsYGAoEAIpGIN9tSWFiI7777rlV7J02ahPXr1+PEiRPcsqiO0KNHD2zevBnz5v1/9v6m17YtuQpFW0Tvfcw51977nJN50oa0jT+47xXeQ4gC5kOiQIEaGFGhbISEKEAFIQQGhMFCAksYhIWQEAjqVJB/AAKBXKBA4UkX8d67KYG56Uum8+Ocsz/WmnOM3iPiFiKij7F2prG5J5/Mw7ND+uy99lxjjo8+eo8W0VqLP4l/8A/+Af7yX/7LAIA/9af+FH7u534Of/Ev/kX8gT/wB/DlL3/5c31P0hb+R8303Md93Mf/tVFKwUcffYRvfOMbAICHh4fvqCTfx33cx/88w8zw9PSEb3zjG/joo49+zSaad0ByH/fx6xw/+7M/+2t+5id/8ifxD//hP8Sf+BN/Ar/0S7+E3/k7fyd+8Rd/EX/rb/0t/OE//IenpuOnf/qn8cu//Mv4Q3/oD+GHfuiH8Nlnn+Hnf/7n0VrDH/yDfxAA8BM/8RP4F//iX+DP/Jk/gz/+x/84vvrVr+Jv/s2/iS9/+cv4yle+8t88jz/35/4c/vk//+f4Y3/sj+Gnfuqn8Ht/7+/F9XrFv/k3/wY/8RM/MRsS/veMn/zJn8Tf+3t/Dz/3cz+HP/tn/yw++OADfPTRR/iFX/gF/NE/+kfxu37X73rWGPHb3/42/u2//bf4+te//l07yX7lK1/Bv/t3/w4A8Pr1a/zLf/kv8U//6T/Fj//4j39uAed93Md9/I83svFdgpL7uI/7+J9/fPTRR/Pd/2+NOyC5j/v4Ho7z+Yx//a//Nf7qX/2r+Dt/5+/gm9/8Jn7wB38Qf+Ev/AX89b/+1+fnft/v+3349//+3+Mv/aW/hG9+85v46KOP8OM//uP4V//qX+F3/I7fAQD4k3/yT+Ib3/gG/tE/+kf4Z//sn+G3//bfjp/6qZ/CL//yL+NnfuZn/pvn8erVK/ziL/4i/sbf+Bv4x//4H+NnfuZn8IUvfAG/5/f8HvzpP/2n/y9dGzPjZ3/2Z/FH/sgfwd//+38fP/3TPw0A+P2///fjP/yH/4Cf//mfxy/8wi/g7/7dv4tt2/B93/d9+N2/+3fjn/yTfzJ1McfxV/7KX5l/fvHiBX7kR34Ef+2v/TX8+T//53/NTMp93Md9/P/fICJ8+ctfxvd///ej9/4bfTr3cR/38f/j0Vr7de/nZHeF2X3cx33cx33cx33cx33cx338Bo27qP0+7uM+7uM+7uM+7uM+7uM+fsPGHZDcx33cx33cx33cx33cx33cx2/YuAOS+7iP+7iP+7iP+7iP+7iP+/gNG3dAch/3cR/3cR/3cR/3cR/3cR+/YeMOSO7jPu7jPu7jPu7jPu7jPu7jN2z8um1/13V91iFaVfHJJ5/g448/vjc3uo/7uI/7uI/7+HUMM8Pbt2/xAz/wA2C+5wTv4z7u4z6A/w5A8rf/9t/+NXsf3Md93Md93Md93MevPb761a/ih37oh36jT+M+7uM+7uN/iPHr7kPyfoXk9evX+OEf/mH88I/+AForMAB9KFphiBpEFX5kQymeBSIiiCiYCQzADBjinyMCYAAIaIUx1FCYwEQgImwiUDUQgFYZAIHg2SYDMIaCC6ExY5iBo2pjqhD1zxQmVKL4MgBMgBrM/wP/J8IYAmJCYYapgdjP29RvVasMM0MlBjFhiAEwDFWoGmotUBj8LIGh5j9nhsEgcRzEabxoDWb++w9LwyqCYYbaCtQMFYRTYagabmQo5NdOCpgaNpVZpdI4tgGoTBhDUar/bh/iX0kEM4v7F6fChFYYBYRhChEFiEAEVGY81IKr+bMaQ6GiOE6cwoRzq7iNATXEDQVqYZTC6EPi+uHPnxhMhEKEVQWmFufk38nMKExYWoOOgaGKWxeIKSozmAl9KAhAyWdNfv1M7HPSDJUIl1bwJAIy4EwEMmA1n5dDFKv49zMzxNSnB/u8y58zCENlXndee85bUQMMKIVATIABxv7vNp6/YgRCKYQhCjUDEaFxAXH+K2Aw6FAYEYYqKpPfOyKUeE63Pua9yueJw7nNV9sfOgwGBmOpDFV/NjcZEFXA/LnADCIGFQUXxqvLCbUwzIDTssQ8Gli3jsoEiZeXiMAgFCYQM25bR4v3vtWKLoKlNWxjYCkFy7Lgcjnj8emGjz54iY8+eInPXr8FiPDpZ6/xdLvh1BqIGSoar6sfe4yBx+sNaobT0vy+xFXXWnFZFvw//pffhv/yX7+Bd9cNH3zwCrenKx4f3+GpD19P+sA2OhDXRUx4+XBGX7tfCzNqzI9tDL/vXCA6UEuBqUAUUFMstWCI4tYH1AxLrTgtBWsXbH2AmaBqUFUstQI15uCtg5hwWioKER4q42kT8GmBmeLptu7rmNhcS8B+L3K9PJWKTQbEbK5XMH8vamFUIqxDYLS/71wIagYRRYm1hZn2+aMGLn5XieL7DdD8Uhio+FrKRhARMMX7A/8iIp+zxHOpAyxnuM/x4/qDWBso9gdftw0yfF3Nr+a4PgKwcEErjLe9w8xQKs/rn8MMY/ja5e+ErzHIPcf8WrnGGio2z2U/vziWAiIKFQMXwrIUFAUWIrztAxLnRQxfg3Rfk5n8ZhY1fOU//TI+++wzfPjhh7iP+7iP+7iP/44Kyel0wul0+o6fMzOIGaIewIj5pncsRTN7MAQQTq3iVCse182D9vicJRipHghU4BD1AawGkPnmCA8YmDwgBxFqKWD2AJfMA6xa2Lc+NdyG+AUXhkVwpgVo6gAmA0s2gEoBigdZAg/MW4ADA1AK48wMBqBEYFF0UZyrd6M0dnFOBUEA6DbA7McnIhSyfb80oJuhFsalFSytwrr/w1ILhvqxexecWsFSCBUc9y6DCj+On9++EzMxQIbe1e9hRAYRTuSt9YCBCBZg7dIW3PqAiAc4YMZqAJfigNKj4HjOfg5cCFoIUEYBwBxAzIDGhFIK4lBYao1A3E+gEMPYQZtFcG9mDgLiuVkhlFJR1PYAKUIbYp4YU1SwxLM61TLBC9TvwTAHvKaKJxEshbGU6mCNCc2Kg4sApxkoWQRYXNj/59Mq4hnzAC4AdCFyQB432Iodgh+f66aAmc+xWh3wKDBBeCGC8g5yjWjO77Y09D7AhbG0gsKMdYz5viS48+PDA8eYDy/agsoFQwUMYDOBEc8AEvD5Cfj3cangWnBemp97BFdqDuJu4vfNxIEyq19TKYzT0tBFQeTn6QGvT4K3T094vN1gKng4L3j37gnr1nFaGpZaMWoFEeHhfIlkAoNheLzesCwNRBmwKtSAh+WE69ZRSsGyNFxvG0qpOJ8CKLWCWiu26w0Gp5wSsx+3EFop2HqPeRpgNUBEqwVmwLI0iBQMGQAVtObvl6liwECFUWBQMtz6wBgKsM+ZyoRNBVbII1MDTpfFn3O8C0wEY8YQTxwQAoQWxqkyWim4bh1dFcQx9wFQARoVQBQzTRBrVov5WwF0U5QIsvN+msHPO7InRA4mjB0kxK/7O34I4BOEEjtoL7X4+WuAD90BhuVjz2MbwJWgw0Bk851SVdSSa1SiJ0NhRu+efOBIFDyUEskqX2dIfK0v9UCByvMFUEBQSQAUa08uhnHcUhzYB3KZCQkzfwaABXDb1xuNd2wwAeR7Uh7a4Ndeq9/zyv5OIQD2nep8H/dxH/exj183IPnVhmf8Y4FlAOqZav+BL86ZISqxgw7VyKgCtRUsteG2bYD55jPH3JNsZhnNMgvumXBlzA3PYBADGAQxPycjD2bZGL0LVkSGnYBqvuHXyOCreiCSmegZhBKBzFDMM8LDFFL959sQKDwoPbeKSy14VK8gaFQ9SvXNcozIiOflHTKWCgORB8oSwELFAhT4ne5d8FCqb3pGuG4DpRB4Tx6CKe4TgLWPZ8CHItj1YHUHBIeHCQP8eZKHQxagr1bGbUhk43cAWavfOwO8eqCGVgsureDd2j3LmhnPoTjVCphhE8GlVb9uAKdaPbAA0MUrPnPDNsOpONDpUFhkZwt4VmJwyN7m9bUIWLp6xUfVYFH5ivysA9fKaET4vvMJLwrj9Tbw1cerAzUzbFllEg/KSgSKGTi2VqAqIPJ7UGtBI0bE+RgUzzQCeiI/bQ4UXJlQiAGOCl9UETWqH80MXRQKz2ybqAfUBiyFMeBARuOhFPjxBRFUiUWw64EkM8PGwGbHKtc+EYgJpQZINYOI4HrzzLfE9Z1qwTYclBT2ipSY+lwlQGyfx8SE27ZC1dBKAcxwXhZsveOjly/RSkEfAyICaMH5fMKtb1jXDWKGxozL5YJ1CE5Lw/V6BZlXXtQMXQRgB0Aigqe143/9yn/Bw+WMFw8PaIXRu1dXNObG0iqGSAASBMgkDBG0UkEgtFaxxecNhtu6RiKEIGpQU4hIAE/ykmXMvyEWoIdmFZfJEyEU7w9FwCpqGGo4t4bGiieVyOoAlcgrBJWgEe2r+jFaYRiZV6nieFQCrJO/DxkwExMaHGxRlm5jDvqcJPgEs1mJzjnhINQOC3LE7PA18TgIh48e/mm+yvDz181iriEqUgTVvC/5yX0+tsagWNsu7OD21gWXqITmsebJBSqgeNPnmhtVyEOhZ/8eA2TY3K/I9gpODjueWlSkai3oqn4eURUCvJIC+J5RiDAAnKI6fB/3cR/3cR/Px+cGJMAenKqab2pzpSfflIlQeadtlUJ4WZcZnHUTD7QOFRE9bIIcwTEz7RtLJBopArgxFEsrqOQVB4rNn6OSQcwY5EGpJu0pqgp+zl75kMh0V/MMlxa/Fhn+2aSpeJBBKARs3TOT3QzSBUIBmAxYasMmY8Z7+/n7tXAhcPVNbFPFJn7ttbAHf8QQGx7kwHBbBQbDUgo+ODXcRCCYu/ikPIAA6b7DW9wvIqBUginBTHFZvILwuPVJtynM+PB0whiCGwnebJtnHhkwwdzLQfszyN873kvVqJ4EtUEDbI6kjhElYw5qnlEWtUnzGUElSYpWjyC9GNCKZ6y7CG6q4OKZ0UaMUsxpgADe9YFaPIA0AsDAi1Y9CGVANv/esxV8eGoo7JljguHSCroZtq4zCGnVKXw+Mx2kEXxuD3ZKSCkMyyzpBB0HgMte3aqRmc+fZxA4TMEB2kU9U+3AhKJ65LTIpRQMBD1GdQaGmf3eVCMRb3sVB06tUWIstWATgNSpbHQIIL0qFgEqzMFSAlomDBloTNgkstZGqFSC3kY4LycAnjCotUBNcV4WXNcNzByUSD/mZ4+PeFq3Cc776BD1+b0RY1s3tPOC3jvWdcX5fMZQw8sXL7D1DWzA+XSCBK0KzOgyoKbY+gZ7p3h6eoKZQm2vWjF7koKikmfWcaoLWmuxzjDWbZsVAjICF0It1SlcQXE814qugnfbOrPvEvQgrwjRLCoAgA7zSi/vayPY14GFge9/ccZ/fnOFEgFQnJjxJE4V3MzQNwlcEEkeMMjMYTrZrMCVSCQIaSRZbIIgivNRs0iQ7Ou1nyScsmgW4JswMluBQwxv+3lYzI9EHkQe4M/Px//J6iCXAL4BcsaQeTyGV28aAZvRrAZbzE1lX1t9TfPKot9pX9MtjnnEG1z2RA09O6dckIGsLr9fuKC4Ye+DEwRA6hIVqwPFKw9P2KnHS2FfyyKBdx/3cR/3cR/7+NyApBCDmT1LmRngKPdnJJxBGQgwBrooBIYaIKTCy9krIigigt50UhlK8XJ6Jf8dgCCxfWgERRQ0mWAvRZYSYPYNeYzkEvjG1tVAxYOGMTQCQw8oMzv48Ucf4LPHR4jIzHZL0DiuYrjGWThrjLCZB4atkFPX1NAgOHPBpTKuYAgiCAjqAZFnZTMr14PrzQoMWLI7Jv/5tg2cWgERsA7BNTjxDyevMNz6wDGTmfxwiyyqBD+6leDJV0aTAgp6VQ1akLBrSUpk+Lo6sBBxrY4Mz7pzlFkySwvyQKeHhoiKPyMVD423bkGtCEAoFoERonrm4Kowe1YxMuDm8Zk/pyFTd9SKB7YlYmiuHmyrWmiZDCheBTHFpKapAOdSsIniNgS3IfjsVvDbXl7w2TYCV1mmgj3baV5ZIbM9201AY4YtBb07JSbpJgYHFskH1IiCiD17nQDNZpXHcCavrogJCryydLO9EKRiGEVxKk5puo7h9zezukTQw7nBCMSZnY8KWmSQExQTPQ/QsjLChXFqDSDXXJxKwTYGunSczucAjxVLbXAmis/ntW8OYAqjklfQTktFKQXEDJMBhs2AXUTQWvM1ZChKKbjdVoCAly8u6FsHyN/s6/WKIYLbeoOoQBWT+qmSz1zw8uFF6Hc6bAie1g2rKk6tYd02DHF0TbFWiAFdBxZqDig4aINcMEygUJAVrH3zSk+rQS8isCleLCfc+sBt20LrEs8iqruFyTVfeb/NsCwV6zr8uRpwE8NbEtTq86KCcaoFa9DemL0KY1GGymrrqTBu6lUzE6A2/z22rA4aRoDeVjloWf4+uZ6Jn1U++MA7UvV7gyh3Z8CdOr/8e74PSaPy6ZQgaB/5Z3NcBo3EDcX1wBhcClSGVzgnavBnVUOvCCKcgiLriRbOU8YOBfZvfSaVjHM8bEuTmpmg6dmItfz9H+d3D1NgZ0xO8EKRCGF2MDIptnYHJPdxH/dxH++P70mFhNkzpKo6A3EAvvDznpmCBc1KXfDdBVhqiexW0BMySA2CvrFNMGBIwBKZxqieJNdbsuQfmw3BM/QwBxzOKLOgtnggmduQmoVYHhhi4AJ89vjOg0JmEDn9ao1MnsROmxuumWFsAlQGzI8rMGdxQEG14FwZq7kIvZvBJLLdXPAkHQhQYOrVkAzuTQ/aEHLzgG0olsYIjesMVlV20GYUwVBlbF08OFLffGthbEPQRTBE8aIW3ERnxp6J8LA0FAKeuuDW5ZBpxzw3VQsBPHZAIk7JAsHpQqnjYCBVnyWCIjKnsiUnHpWishBVgdi75/OPwL6R87g7FIVduyRqKHHfoX6utUR1RYCHVpxyNwaufeDCBWdmtFrwbusYMPzv756AyB7/4Acv8C3c8HbzjDgZJmUHcGogAKxRpbL87ghIGH4dG0KgHtjENACDKs5cMHySYIiiq6A0/y4qjFoqmq5QE6+aBb3GA0X/PVEX7dKzRHdkifNca3GDgdReZQY5HuerpeKxO/0wmJd+bcNF3GqK3jtMFUvxSlFjxhqi71MtYGLXYKjTurLyU6vrctZtQz2fYQSUUrD2EXobQRVFJQKp30uuBUUNhQs6Omop6DJgUDci2DpMvdIiQhi9z+dCMCwkaLXhSg2fvH2L0SW0IPGc1DVaS6vYRvf4XBVK4u9UVC8kNDytVs/OB7gXEQgRTksDtwqFU3Fu6wYu9OzeViLU0EmZaVBOaWpVWikAXI9zC5plggcxB+cSa4NTm/wd7UNgzNDKrv+K94bUcL0N1EJYihtsNHKd0Rg6xetpMJLg9LuNTGBQJGzyYyNpugdQm3qSOSzB1/4jYgDl8AGEXipAicFNEwq58YQg13SbQErh62/qXRJsJRMqYQxlVYd2QOK6qEwGPb9Wi6wIRWknQfoRrMcX7H+fld79A7MaFgm1AYUMf29OrTw/1n3cx33cx30A+B4AEmZ3UaoFMGU8SUe6q2SW2P/of5Jw1cosuMKwBH1DzV2RurlbiqmhFHfGWgPUiLgYXdQ89reoKmQKGYBnxEIgnO4tlJuqZ90NHixvEYSrGhoIxoRhnpHvSS0BQLE5Yv8K/8/ccPesmDtsEXpX9PjuNzC8Co57z2wkIqOLCIJoP66I6xYKAXLYAD2bGhudOBigyujiG3KtrvEAe8CcVIeI5sM9zIMIEae5FWIIE0hcw5C0pXUInrpEEJx7O81qiwEOVMwmZWs68ZifC4KSQkwYXSd1KKso65AJgDJg9oDPoOpVglK8siTm2VSl0CbA9RHUosMnUQASz1p6kELzubCFyJQID62ii3owMwQcWVQjwrkyXrYKgeE2Baj7s8mgtDJDASg89W3kQvISx+pQWAppY3qea8E6AhziSKUBFmZsanhz2wDAHaTMhdYvo+oz4O+PHowRLMH7/AHmF+az2rqgwnC2imTUp54CATrzl/MwTITz0jCGoPFu6nAqoRcJUFMLg7mAGa6DggOOPgSlMDYZqMxYWoukRDjZwVBLhYqAVLGcTxhjYJWBVgraqUWlxOdRaxVP1+uk9Z1PJ3RVFCJcRVCLJzeYCFwXUK0orO6+RoY1aF3p3NeY0UrD1gceluaV3jEcGEXlV9T8uMQwSg2Vgz9RB0Ygd/c66sNyzpC55ugcoKMw4XEb4eDna+Q2RriT+TrkmjDD4zYmUGjhVkcE2GZQ2gPv6yZeRSaaFRCWvbqqZljjPU2XqEQRszIQIHbWCbJSWdmpn4EuZsIH+3vtiRRDUZogJI9vZvEOuOifA6mp+XtUKkMDFBVyalXO4awmmx0STYhEQAIjOF1tP3Fg/+cA/vPcbbqVUaMjbp9z2asY+zuV45CH2b+G9jX7O8BYrhn5OlIK8nEf93Ef93Ef32V8fkBCHhRr96irRrCQTknfrfxNBCyLW2O69WkEefE756ViNc+wuw6CYOoUriV2Ja4OYuS78HEJADcOSoJvCGkzzOS0pD6znb7pnirtFIvYmCUqFRQZfRKdWbz3vy9BkBGmZoHzmKLoasG5pwBAHqyiAK2W0FUwoDo3dDPDGADUDj/z77y0ildLxTfe3SBiqKcQ4Yri8bpBuk2hc/LGa/XstZlT3pZa8NHlhMd1QElRF46ssH9fZuBr4aBkHbKAwLMMvMohKIib4roRP/EM+PPzooYNGjQNP6AMddCCPeO41OIZ1KiqMRFEDDeV6UwFOOBoQeFAUPdE3LXHyIXp6bxFcW5DPbtaAryWwthM8WSK2zagt20Gb9M4gWIuBajSOKdK5E5uIcgYIfQ/3o/KjHOrEN0pbWuXqUdo5FUtIpo6EU1L5zhu0n2MCIWBdeiku/23Mq+tMD68nF3LRYQuTo0qzG7SYDu/Pud0ZYYNhaiiluqmFJ45CBvkzDozKhd0Eai5IFtEXWQ+Blp8Zy3F3wUZOLUFRRlLrTifFqzb5lQv+OfIDOttxakUEDtVqo8B0G4dbWY41QaDC8LVXO8yVPDZ27fgUgAinLjicllwOZ0AAj59+xaFgXNr4MJotaGVGsflAAhA44Ja3O4Z8OfEzLhtXlk8lYrbFpWZ3rH14c/o+I4gtDYkACM0E2ETHQkJB2gadreRQKDdnCCTHlsYb9SoKg9J4w4L6/EA3uSUscSlaemrh1eYycHwMYmzjz0Bkf+Uny+JCuIc0w1PTec7q1EJ9+PQBN0cIKXG2myRhOojky+He0d+ryg0JO+9SvMcvErpVY18BbwCdbya/f/m/SA1aFQ9v+vnvhvACSBGfLAGLgf3rrydAbA4Pw9/Z1sYJ9wxyX3cx33cx3eOzw9I4ILmVWU3PDoGSHNB38vmbqfoAY90t7UF/O9bH+hDvJ+JKYwJHebZOPFA0Lp/UWY5O3aePoDZ98SiqsHkDid5cozom0Cesa6hgVlFUUKEaxKBZ1zUFgGh22aGbXAG04chQ0GNUcLSlSNjWYCozOSG5444DHf/yvM5EpsNXplJp54jImEiXLvERmh4vHV8GDzqpRSs6tlgFUMal9VKEGGMrijNA/3bNvC0dq9ENca73kHoqMx+fMQDPWbfc+Ml8l4nkufq4M7MQDWscSMKei95GH0ZbM4PiTnwjOMRlTYFTWrarI5EMFQOIpvf+vH34ePv/y24Xq/46ld/CW/s5hS2yuBT9JIxw1Vkn7tE0QuHZgaTzAXzrTDqUnEdY87hSm5xTZjaXxR4gF+LV7Q0g0rsICIz8+10AfXhQZzmHPJnuWbMxP5/VHVy8xFZ8xq9UobopPUxORPuO0DJ4c8leolwrRgq2GSgsFvhWvYiOfyaA5LiVDp1nYeoohjie11XdCoVDJpC73QQ6mNgHR2X0wmje0UA5hShF+WEFHP30WHDKytrH2ilghmobYHCK0W1MNrSoI+PUQUJcFsq6qm5Mx0A7RtePjxgXTds2N+fU6sQAG9vTxgm3telVDAxzqcz2nLCWG8xlxhUotphkV83r8714boTgycNrqNHRdCBZB+y6+WyfhHPZ5hi9NBL2E4dTZADjcx9/PbWPSFzanVWJhlOlSoMPJwa1m141SeqiundJGbopodqArn9r6UVdxhNRB8jqs9D5FmRiHs4M/sJaCI6n/PyCESQIv5w+soX95AVmkmdgt2MYb4u6ZLnS4HTeNOYwYEK5TybFamsohhSsqU1Be7wilNeT1YtdK9MTuetBP0wqGPf3bK40l69iefr2q0AxwFQ0tAi6b8ce0aJ+yOwucTfx33cx33cxz4+NyARM6cjkFcrhrpjyqRtATOYij8CcDrUbYtgkIBTa+hbRynuPlSYoOKbMBeKPgzB2hd3P6rFKVbJx077yNSceGYQM2MFeK5+qIYrDYHh1CCDb3QSLkd2oCLMrBpoOn0ZaLo55YYI+KZYQfjiacGntw0D8D4Q6hSEPhStsQuqVWHqDdVK0H+OQaVrc1x4/nTrvrnHdVz72MFebpoBWAp7tUDMHac4duERDcbMDNsQlObWrV55YizEeCfDM5p9YInmcF1/dSHmSME8+T0B3AYXlWDDtT2goI3v+GMHqYeoefLYD6BMVaF6oDoQ9kacm0xqFxPhW9/+Ft69ewvigj4U51bd8jUqGQ1Op7qZ2702JlyTPsVe1SpGoS0ynJeGWw+RsjklYzlVXHufF1PJ7ZAJwBK6FlLg1Mrk2V+WOudR797sbqkl+hJE5jke/FDFdajz/Ylmb5vM0rpNsgfFElWj82nB03WNzPrhJTu+p6GJuG0biNyu2my4tSwXaHrRHp5TF8WQDWpegSi1Yow+32NmQlfxqiWcQug9ZhzgkRkshORJdXKDgt1xzKIfCEMnlYpA6L2H3kzxuK54ebmg1RoBOKHrQO2C2+2KViva0sC14na7obYFReWQpCBA3bGuhz1zZcZlaSAVXLcNZgITiqy9Ro+ZqPia/172lsm+Kzl/DRZVTIqKYKwJ8aeXrWGpBY+9ozHjaRtYDwBQwjLWXeT89wt7FXOoN16UdF0zwxDBm6vO3hneL8m8CZ85+MlcUNKZnKrIqOS9eADMhAAxPGoHAN2pfNmg8JjSp3jPZ+Ip/j2ByOwvlB8OR7E08QAw14vjPJ30Jr+VAXYcoh2KqAHwfL3f4r3LNYjYDVDA+7VTvDiHU529TNJQI/cMHM4h/0uE6QCput+K1CLpUGjkUFLDYooAmIQaYK+QU5FFDQ33cR/3cR/38f743ICE4JoL/4tv0GU6Gn0nZYsAX6wL43oLO1wCRFYspeDUyqw+iEZHXCoo4TgzRKYwcW6AcezctGagMHexPUPWKPo7RJVm6+Lni0iQIcBHVGCIYgNLCprYYWP1wLMPmc30YC6WB5wm0zW8cskrJGKGE5yaUYlw1RQmKyQ+l5szR+YVAJZWXJgepYbZ7T2vrRAet+4ZO/JgMoOKzFhaGHCVyhAxXLvgYal4dW4eJIV7VUYha9CKZkRAESgcgoln7jXwDbeYQYeLnlHdllmGZcFgjlrcAtbnwN4vIecJs7s0EQPRKxIpZD1XBlixSlwjAW97j07coTEqjDM5rWnAcObqwWi4PxEi8Iu50AOwddr7UU8hbVAuiAzn4lWSVRSbSVQ/MPUa3uyw4EwNm7hQPMEywy2FN3EDiK0PUCG3IyZCX10TcaqMqwje3Lb5uy9Obb4/TIRL4xlwTVvTifj2ZwQ4vWeo4LKcnBaGFODDmyQS7XM4HtTaN5yXBUv0CXELX686mChevbjgs+ttZuGX5hQpHZ4IqGXBGAPnVr3qAwZUoju42yUbheuZusZBQqhOQIjlKy5Te+JxM4WuY+sdUKBvK5p0vDidMMxBrAHIdHlahgOMhgIhQuWCTQYeLh9A19Wz6fHupWaEyCAxP11QH/NXLUTVNitdour2yO+NrIwx8LzH0mFO6Ay+Md8tC8Du80rj3QAodBpLdRqlRkKIxKuHmWxx0E+zc7sasOFQBTuCTzNA8jU/JHZopxvlyRll5QgTJFteJ8Ls4/11IT9nKUTPd3xHGmnLnQCKzL/b6V/pqmio5LSnLeaLAtF0luY9g6XGbH8NUvOS1ReTNAvBpIOCDkkRpG1z3JdcbyMhNatGAeCo+AEoNpLChBZrlRmwwmYvIn22Zt7HfdzHfdwH8L1ojGhH4aF5RixT4urbVZb2KVLjc4GP/bmEa082f1uKu0IB+wbFoHCs8qC1nIo7F8mulUhwM0v+2DcYIqfWnFpB7y6ElNBrvKgV1214OZ0ZpTine1kcqIjadIJJ68bMIm5dJvgh8uze4+YUmHR/0egd4eee5+fBzMKMdQYKfp9adaqMqPc0mD8DcNtG3EPf3OlAh+iq3pU9wUOCiRwBxKh49hoGPG1jxqCKA30hApNLK2hU8Hbd/H5N+th3jqRb9Djn0lzvMYOe2bjMn2djwiBMIXv24qAI6o0sGr/t9KrKjKetwwomEEh9kKkbHiAyqF0Ub81NE6oR1iGuWyFATKYmJXn3TB45pfpDNET/0cG5hdajm2FE84MEsq25ODvxgIiiNMars3e9R4DzDPpH0Iwy1bwG3Sd7jvSYCwkm0xaVycH4UAd/3ueA8VArHrcx8/Iz7otHpfEd58VdxmoYSQx1+tep1ZnpTdRYasGLyxmFCE/XdVLeMgA1UbxaKsCMVQ233rFE48NaCpiAlw8PYAIetw0wbxgKczOEF1ywhjsWhdtZ6mGICDUakZIZ+rri4VSxDUBEnCYYAaX3bPHqbOWCE4DCBa3G8ZlBphgEnKuDpKEKG0DrHSIDfQx0Ubw4nTywNX9v06xhiM7323Rf90asM95r4rAuHv57tciKG7CFfigf/YvoOv9m3UJk7yDzXfydo2TglC0PzEtlDF9wg3LqD3sIoos75uTcQQV2oJqBdwbZh3k2T+z49/xRzHccjzV//7kZAvI7Mz2UeQzGbKCb1DsHj+bI4pC0SB2KxNpkwLSRlkiWZMLGDidjecZRNYEBXAArnnjQsb9beZ4iqdPzL+NCsQ/Yfky1nbalXvVYFq8g556QiSIxr8IN+D7grTZ9TdtkB4b3cR/3cR/34eNzA5LcWikIuyk0ttm51rNdzwKlBAwzU+ZZ+755rwHnatvs0ZDg5TaGZ/8KYSHCiIZfI4K/pAVodEkGMH+21N3VhjQcqYo7O43IQKoYCDqz8Nsmk/+vtJfvpet0BAOcApHsECoh1ERwhiMAG6RhH0xRIfIM2wkFN3LnrdYKSBGBlVt2bgasq6CLUzcKMx6WgqdNYtN0/rmo4lKrd3XOgCErJBHoIzZwGX7/z0vBFs0TW3VXoS16oqQ+R8WA6lWFfIbFLcumJegMRSLTmbamAGbX8WcBUcwDsFcSxlCUDEKZokoWwZ85FaVFc8QEkelUtbQy4VzqSQoIWzgWVXNRsRKgomjRlf0mrnk6F8IpegQAhEE6C0LZ0FFEZ9VJ1z6pcHsAZlh7aCjYtSpqCEtlmSYGXby7usT8K8zYht9/JcWpFZyjemMEbBBoaD+SPuNAF+Hu5dUwDU1LrRx97BHv3R70wfz+rN0tbsUM52jaKeRmC604hc+vyR/W4/WGSgTmEo0IDQ+nBRbv+dIWqBG6dq9sBN3NVEGF8XS7YWkVrRQQKkRWd+WyvR8PyDUnH7x4wOO6QRJEwKsDJyIYM1ZNDYR3aX936255HYmCvO9ihg9fvMIHr8745LO3IEI05ByoXDCGQJnQDJDRvWP8+YTHqLZVIvQxcOsDrTA2DYMN3WlahQkGd45jzuat8zU4THSvyhrcHprMdRGb+TFONVoPBtDpQRfL9/pFK1iY8CiGN2s/HNzinYw5IRqi/qBZgeZcKLwbEOzJilyPn5tNWCCOKcY+vLa/aiIify+BjBp2dHaEClFdo12Tcji4N9Yse9XPkPcjQXAmfY5AKZ20ZrEFBwiROSqf0yAHRI3CLOVwEZa+ff4LtXKs9969Pcfu2sjzd7gSIIpLPeHxdvNEkpk/78jN1agU67ApiL+P+7iP+7iPfXxP+pA4RQYz22Uai26WDWYgSliWgr6KW7hGtWRsMjPvMgytuAuWRWDch1cYBBbBlwvL/YiYHOtsAlfZOf+n1tCYIJyVEj+nxgStKfj2LetUC841glsjDOlzg4+tGmZ+vp799Q3tVBjvtrFvkhEsbpvzm5M/nTumb7KGSwTBIxod6hC0CQi8G4TCsDQPzLqo6z6CQlSK2xfrJtNmd6XdUrlWrwoQwRurwbOAbjfqmpBt8+DzC5eTVw7E6URmHjyNyBAP8/v/MilDIrDGuG6CTQRj0z0IMDgFx56LfNNtJ6shIAcMhQlUGUthrN01IRtpONIAYNcRUPDrUxSa4VKCEbcrphkMFHLTgGHhMBTZzQxygHB243AO8sfu4Fl0VnOSFpMNOtR0uv7MKRXzNGkdjR1ESFynhIC/lOL9Mwyo4HgHAIoKYWXC0zpwbgUvTw3VMnFMM6j8ZN1wCbF5p7CsHnvTRQaF6Ndfv+yV8vEHL0HEGNuGt9uGy/kMUkVVxrIUd5kiQPQGjb49qZl6eTqBmXFaFtxuV2yREW6lYDlf8PbpBoDw8Re/iLevP8WpVay9e0+VWgOMyZ6IYAaJc4ReXi4uwqaObd1QQSjLyQ0tVEEWuhdmyObv5GlpOJ1PWPs2KZyzv4gJZAiutyvK4iD68br6XDHXuDATTsuCPgZY3BlrgNFcCofbGNh6xxgaDlu5elE0mdybjTIfKgLAs/865qbQvSzYuuDSCm4TABCe+sAwBS+MvurUjYEYLxbCiR08P27uVrbUglZcv6Ygr2wpcOsrEN/n898z+HnP8x2Y8xYEZszkQ46sxuV1PCuEHC7Mcnnn/WcQt+vm0HFkpfNYpZ1UXmT/jvz9vVI5RfIJK/JY8Mp1rrXHKmAmMPJSEtTsAMyvyA4XRDhUERMkYadj5fVnJXoXtXvz27WH1ij6Ztm2eT8YRBKjFZxrBYlTBzkSLijfSe27j/u4j/v4zT6+J4BEY3fyoEwnNUjeS5Ll5k1uOzOF6LNyQW6XKuKb1VJL9ATwgGw1b36oQ/1ghODlAxzZwuyFUYjxQXR5Tn66meEW2fj8u6p3LT9zCStWix4WGtlHQNkz/qdKM1tn2Kki7+e7cg8+t4IO2zfYoBeIGm5jTDqIkH8W8MzoCKqWwN1azkuBruG3z065MnFHr/mdIG9GCMxu4UyejaUaInATnAqjFODNuuskNhE8bcNBDHtm0KlmgKigk/eTKEp4aAUKxiDgcmmQm2F0DfvMdN7xLKiYZ3G5MApoirwlmjfmxr9U3il3EVkI/O9qOgMV8RNzuldlUPVnljSPpRRsEKxdUJNaBwcZJcKsdFgzeKO8Go0Cc5oWJnSIV9nKbstq5L0fMvoZ3ec5wUXraXYwVLEGuCi1zEohM03K2xL3Q+Ed6xVO/XvcBk7sz0AiWwwLykrQPF7V6t9DAOCOWxL3CNjfLyYPnPcMsWE5N6x9wymctSzAixpCjG54aA1rF5yq621eXs54WBav+Dw9zV48hgBKpcxA7un6iHd9wxmELmFsEeLypVZsQ1CL60UyFT1EQPAGg+vWsdSKIU5LLOF2BRWYOhh3FzzDu8dHB06895mZNrgGDBl4evvomeruQvxzW/C4rlii98nT7YYxOmqpkwJVi5sdDKQQO091j2QltEZLK6BC89nMpS5erFIKzqcFt21zEwo4jeeDhfAuKlHX4T/PZqU+mT3x8qjAFgkTBaKJavS5mVQyn3OTbUXZf8QwRTFx2KyEWPx5CrpjwbJc2N4b80f5nkRCQLrMBoU5HwAH6GzPK3Opn5hz55BMmIc/gIVSCkzGdMqCAb0LOoK+VrOCZvOYx2rIfso7KMskAyGaTcpOby1M3jcprzeSEyV2SCo+EU7se9KpMZiBaySJyHytOPYEEjEoK07F5xOInjV7vY/7uI/7uI99fE80JMnlPu5n6ZQ1IjtMRqCyCzH3ikGW1mn65TMIL5aKpVWs4m5S3TxflhUNACF4J7Sl4Tq622t2nVnhN09XnFrzRoXMIM2yf7r8OO3oXD3zeN2iAgEPHPNivNO8YUU60MS1AzMzvd+Q/J+7wAQXKS8WOhygPN66Z+UQwXQrSN9kInfEuiw1su02qV4tXHXez7EZgtrUyrQErZVx64KhLnydHGemoEZgipkJhHUTbMUrUCoWiUOKzVXxqH1S7lp0gKZC04sflpWLOB8Ly0vOPiQ0s5tDDMRugyrin9fQRRiAh4Wmq00esxUPAkyDpsc0zYGSbw7zeeFX4SLyygQhnysF5JaoQc1RuFA6QUnSvsxC5D7U71W48GQ3Z2YHwafo3K5m2LJ6B//+xoQxMCsn2agxtTpLOKulBWmC+Ne9o3TCR+fFgaQqnrbuwI5cSzXggMUM/izMUNos66AVb3hJANrScDmf8fh0847nY+BdiOXPze1vr+uKVSRoMw40vCu64HFdsfaOId5cEAZcWoOY4dM3byEquErHuzdXFxzbFveyoLUWTmnRbyMaGCoURAwRmdUkBkVfD7f09Z4lAibDqXkDw1IKntYVFra2iNUgXcwyQF3FLXE1qgVmwC30Kt0GWmt4OJ0wRMIFLLqyG8BcsERFdr5dmoFvVrs4QKg7/T1rihcnpjBc+zZ1Y1xc+5HvnRmmuYL3lvElQGCzQ/w6hdWuPVEzLGXvwbSNdWb/NYCZzlPI8sB7lRDbA+djBG9ms3fSe4vLe5G+/6UUgsq+Jko8A45qoRm8ShlUpVB8+xrCQZOkvYRhANZtYIjgfD6FcCToWnDwHnVTCBDALOx9LSnC9P5pxjm9h7Xe+9gEZtjzIgma891nIlyq0xr9WgkfFG+g+nBqeFwH3mzDexVxGhZgAi8Dwn7+fdh0H/dxH/dxH5+/QkJ7DJ4bbQbk3qzON6cx9NAoip7vG7QH/YjMupFz8G/R5IJqMqNjE7O9E7jCovwfQZpa2C4a3t1WGAxLi74n7NmsbRPPQMO/+93WUWJjr2BU0tlRPbt9p2Bx2lYeziXHzNQFx1wPIvP5gfxVT/hP6oLZ3uiRyANRDsvbVsi5+l1Q4SDiFFWdY40m6UdLK07NCuqcsgOWNTtyx3eCAS0OyMbmmfaHpaIPwSaeeU0KXDedrk+nsGtF0OF2bnc66USgKIYls5kRaBkAigB07yOCTA5PesYphPwuUPdg2fUejJv63CjEfm9UIfAgclkKLtEw73HdIBYNNeMhMGgGhArFGkAmg/2s+LlBWjitxUQ3uCaAWvUqHnH0CvHRNcAAE4oxlJ1LjgAQLo4md+eJQDWDuGxiaQag7Panq4j3sOnBSY8gVk1gCpQSzzO46QVulrCJumnBbUOrFUsteLreos9Pmbx2QN2dySz6hRBu24paK659QFSwbgOvLucZ8F9Hx9PY9mgrk/sc7yO8USeTH7uUgm101FLQasW23rAs1YGPKhq8IeImgm3rGNuGD168wO3tW9TW8KUvfoTXb9/htm44N6+cjD4woBGce9NLYNeSaKSiqVScS8O2dXDx9WeIa5ASBAPezO+2bU4dPbjU5Xs+e+fANVVJ0xtDZ3WNgEkDUnO9GrBTk67DGxwRvLHluTK6OJgoRNHPKZ5j4YjVbeqasqIFc6CdCQ6JBMKINbTMOWnPMvKzovA+GMm/2nt/f2/ZiqVjniNHtTYrLBTB+PEXkt6WwCkd4WDe3yPfKwJmo9ytd6d3Yk8S5HkTwVXjmcOJ+52JFH/GedL27DrmNbDfy1zGwQQlm+5e817FOp3nd4oGjmusf6sMr/gy42GpeFJFHzorbWaGmwIttIWqudjdx33cx33cx3F8bkBSIkNM8IwyswfNWfmolV0wTd77gKpnnAq8dF04G9M95zLfhjiAEHXOdhfUViCmaOSe7gWAQbFu24HHbSjVc+NinsW7rYoh3TPCxSk6yctXMWwqKPCMeWHGqw8esH72GkgdS9kB1Ps2t98BRubGGyH4UUwag4iwnJx6I5HtH0HtycxiArNbFyzV3XeEzH32PTk3rTApjqnmwZFieMY/fPaTAlTL3qF9RCDlzbqcCpeb+K3LjEZOreBSfed/vXrPGFPDOtSNDKLnC3E6d+WGTh54VefQj6GRCXYampnhug6cTmU2JwTtPO1i7rbGcc/frRtEPGPcQmD/0CoSG+Y84nAYelo31OKdwNNNK4EDIat6oXWK78xAbwlaUFqYqtnsRJ80Hg/4dovUORUSpMBpQ+sYwYEP61eKhojYG15mfwlgp+EJgM6CdXifGoPP2Vp4VpGy4peaHSAdmxmn8wOub9/698GwbRsQYPC8LHh3WwEinJcaHcYDdMW5GQE6BBVOqbvB8PZ6DR1GAGG1AGQMIZ9Lax84twYqHtwTvMeQmQOpwoy1b7PCoaogKmD2DPvD5YLP3j2CiXBbPfv/cD7h4XzGm8dHpzMaXJiuGv1ToqdGZZSSvXMUXV2j0/vAq9MF58JArehjRGXGu3VzBP1vnh5nY7t8TzMSFdmD6lp5aicmoDEDxfXNIDje+bmqxd8Z5Oc3dOrYErSz+hw91xImBoZVXSdT4EC2w9dAhtP/xAxMUaVOWlKgIrUdMx5H6m6OwwxTy/R+BeGZDiSBmiKqRQfRPPYA3rWEcFey4/focZ12sGdx3GkQEMB2p8zFM4ZXREq+s7DZbZ0okiPxzLxaud94znsRAKa03WyDCnbUMY8Xvx9fQOTW21DDbR3YTPHNm5tj2Nq9OWfcpwagGtADMHkCBt6gUu8akvu4j/u4j/fH5+9DEhujRebLIqubQgpVwxAXOGsIjgmuAXB+eGQDgxMNw3Sf8SZjdXYaH5FVSzvdGtQFWAjVCVia05UMmPqCWt0SU82wieEUjlJ+AVG1CaqDmWKNYFbU0AMkTKeomTokZDTcyAXVN+ceBQgx13vEjprAZP5qZls5dCN9F88CmAAtdRDrkLBoBTrr3KBPtXrWnQETBxkkOqs/BOeYt8q4LAseb9vM1BFFVrc4XaWdavSUSFebgqV5xWkbIaDGzhmfDmjwy90bG0YAwN74Lzn3SQcy5GcV6zrmNS+tzGvuMCBc1Rgu3rXmme2u3qtDcj5gb2B5pgIVmQYAS/Xva8xQLiBTVAKEDCKCy9JwM4nK1J6Jdd2IX5cDLiCFt6LeL6MUNx5Yh+J86DHhug6fpxZFtFoceBUytwEGIMMDTYrnYRFoZS1nFYUycL60nE4zE65wMb5ROttlUOcUur5tzosv3pn9GpUiGDmNCj6nhypQGEuYArSovj317oAKwCq7sUKtPJ9lIcKHL16g945NBEKKroIxBhCA7tQW70MjgrV3VC344LRgY6dr1RCZL63idtvw+O4RS3Rjd7vsgofLBW1p3rMmADVUsEZAbIro07IAhfF0W9FK8WaMKlCVeF4ljuEaBVEFiWAbGzbVKZ4+2t/mO58WsMyYpgr5uVKcjsh06F4ez/B9UTcQALf7O3GTgdLcbW0Jd7nGjJeZNIBiHQ7UObhnKdjWMK04l7SedXpe791TFUqwQ3lkhue0/2Rfb/yvqQOZPwemCD7pUwbAhs41jAPAzOv1V3v+OfeFHN6IkCbgM/L/DfOu8bNCoTvAmGuGYa4JROT9oXS/rgkiLNchmtdxvKh5DxKAaO5lmHtX3pgESwrFJ48rKhFuXfA4RlT2ATF/lwyeFHggwqO68UCJd6dUBofj333cx33cx308H58bkAwRFxiDpqtLayUy3iGYZQK1gnXzrCSBogmdf6ZU71y9bjItLyUyx8yeWU1BdI1MoTsMRasTpakLOdeC2zqms1GGBu3kfPtqDCqEEh3iKZpYFXZ/e1bA6m6dm8dl3m1uAd+zTtE34aEWKAN9jX4F+SHb//t8E46suHgvhAQuWUHwVB7NaGCIepNB27PwgPcm8R4sdBC2OvWkVQYZcCmMm7qtb3aRtgi6cs9VNVDzatFQ9R4VAVZkRCRMriPhQtN++Kn35zv9MdAJP3+IP5NiCEtZv85W3do2wQoQAW/Qx8wQGUcPQCq72N/1KMEjF43KWAAgwhQ6n5Y6gw4mb6R2XbfI0hPE/DpJFRCLWlNUPmJO1PieLoLeFedW/H7CLXwFhqsKxELAaurzNsES7RqdESDRg/QKiWtlJu9VwI58Cu+ubD63DS34ULO5Nzn4JKaYFzYBUVc3TLiODmN38/K40GaVQlS963kf00nNi10V73oPS9ugX3I02czrYcYI84SlMB5vV59DxqDSUKprlnSI02LgFr0AYGPDFz/+GD/25d+K/9d//I/YRHCGU+B674ApGCGwz6qRGd6+e3Qb3tsGEGPdNqjppE1tAQ63MbDeBh5OJ3eHEwEvDePxirVvWLtn5GspIfx3p7oxZNp6m9kEFvH18zw41okWjVQlKI1ZFbGYr45dKeiMe6Y+WYNuXWx7ToMIYMIwRY3+KdfhSZWk0pECxr4AdBGgMFpx3ZIZz7B79A4R3QX5RE71YwqhVCwimbk/rGc8P/P+oGd/UrXnQv6omOyi9v3nDlaiEmKGo3SFsesszMJa3Gyfk2Ru/mBpgBLHfb98c6hqzB/vyyeyqpKgaW9gGlhELWicmI1Z39d5pIvb4xhhSBEd6DVth8N6WD2B9HZMAVwANT/GKvod53of93Ef93Ef3yNR+62PKKN7U0FmAiREvepBWokNy4DgUHvWODctQ2wG4o31xrSkdNGuqbtfldAt5BacdJHc3HMTyj4kubGkN75RWqQGPSGoUVv3ZobFCNj6zEQ6YOFJq0mKUA1qCMwjEIMH8Pm1mVXLTTqDETtsXOkeZkGDObeKrm7vawWxOUdgRHCnl8hI9qEgeLf1PbABiBnnCMbPzDgTwdhwi34YpXrFogQXXS1E3UxAIdjmtqlcGLVWrFuHSOz4FBSSPjwDjak73S86RiGvjhR2WgmRVzLSIWdEgAt6HhiMcIwqBnR3cvagJcXPQRNrsdOL7dz+pdVpG5rC91Ewqy4uWlaMCNZg7gbWLRv+edRikeEF/BgzOIZXPJh4UvM8ERv0rgg+t+EOU6nnqTV6xZg6yI7GdjLcDWzr/vmlVG/0loFifAcHCt0sMrBMIPP5V0pBTbpXZHFHisirP3uLgMxpagM2HOQNUTxcTu66ZakfUWziltUWoNTfPZtBZc4Xb9QYgTnUBdrxSqiF0xJcD+D0NuCzT76N//XTT6GqrgciQMaAEYFLwRg9nLAKaq1QU1zXG0bveHE5e7B3Ha6dgH834Nqrd+uKpbV4dIq311tUNxgUjmTEwHVssTZkLBvvuuFgZhHaIXLakWg6Urnbk1NVeXZFZ+Kg+D2PNg/FFhTiaGo5XBRP7i72wYsLRBWv3z3CVPF4GzMpMGINBHtQ7zqjACpx4NSFJQWQCN5vI4BPCYqkinqTzzhHyoogBTW1vkcliuTJswRLzAlu7GG4+HvFQUUkIsjQGc/LBCt7xXaCoFgj6QAG0yq7wO+Nis7q362PveJs2K+D9+/2047/RnlzVk1yzTleD/xdp7L/Q+q5Eiwm4DICNlXXcBHmmqFi6GG2AfjeNMzQyKsjyQaTeI8Kv3ef7+M+7uM+7uPzA5JWC1orgAFbd1vP1HMAu0d/bmQ9+fPA3CwA2l14gvG8Z9kw7TwRG8U6/PcXSlhCu3vX8Ttj00oRsfPtfTM/B8jYxCO+0T2rqGQRoPrnCjm9bBO34SXNTKhvLh6kp7tSXGiCDgTw4F1noHjueGMUgQoRiBmVDLfhAfb5dAKPgW3I1FgYEI0NXejNoOm8NQOrqKq8HQPvzHBqxbs+IzQMueEGbUclQFUEnRIb+RCNZ+oallMtuEVDwm3sOpNjgjKP2VqBSAT0xa1sL61iqU4vWVWCouQB0swYqwd856UBTN6Vnd02tgcoIQQdKhBBgjWDZ4wL86RFpC7E4ELlCQLjXLvZ7Pbs2Wfde7wEHagUt5sFk1dHNt0B5oGa4jfDUIwh7PS5rPYkUEHx7vRcPZibYJC8aqPqFMDZMwJ7RvnE7IE7gCfxedHUUGuZupRWGD2NFCxxlX/PVPew3xguhNvaoUOwNNeSLKWiEePxevMmoOKgLTPHQ9R1WOH+JvCMcBTwgvKUCQB/N0p24Aahy8DjcKvfD1484Lw0fO2Tz7C0hi9+8AEGC5ZSUZhRS8EA8Fu+9DG22xVvn65RbZL5vCTmLkdUW4MKtkXH8t4FCq+m4hhEHlL1qYE7Vg7TxlmSFmb7+8GF5oSnWAsMWYDY1z6K9UfJNXNiLj4X3asLMgSPj1enIRnwolU8jeHal+goTjj057CdyjmrnJZJDq/a+jsOdAg4KHbQ0EwAsB66lcLRNTxtovcGtvMGH0e+70zR7NYvmuNlUznQp/RgCGB+rGfviR2Onh9ZGKUS5HFEzw6vRG1DcDT72E8lADL5tYy5B/hzKsSxTuzXki54hARkfl6VySuBI5JntFMnFfsccW2ZRnPYBD9BgQXwUMp0z1PzPYPJ3bWYCadScBs7TfU+7uM+7uM+fHxPXLZSW5AZ5oivplYh9ReZnc+NfZbhI7hPGsCpFg88YhPKfiVQz/YBHohs0QWciJAtOdJpi4s31JtcY0QH7+A+S/Ps1RjiHGaPa5z+1NMRzCshTIzGgKnAIjDIgLFhpxTA/PMudN3PHRLiTttF2wbMXg+9uz0pR4NHDT741jsemjeWc/2Mb66p44AaqGQ1wu+BmGG9deDwLLoBBebaih60OHbtT4kmZr3rBDKAQQR4GtuMHzbV3do3M5o4iGNnfOcd5hsxuCUVwjPnJy5B61NvrheUlwwKsgFZZiQ/WCpOTHjX3RXKM/FHxx7M+1Uqo8Mz9ik456hieRAB1FNxR6AYCcRmpQZZZaIJoLNTPMirMx6IeQNPZgpNTAQ7eU5mgLgtMCJLCgIa2C1izR3flLyTvML1MwmCKKg1jSss3KAmtQUGcJnvhFAAK1VspriUOoPLHYLMpD8WLlhHj/P13gvkCBtLKbj1vlcD1W8IUVYZ/ECFvTIAglOJMtAmxRiO/IlzfnAE0J5FP5USgNw/sPYR75PidrvCEEYZYWhhBpxOJ1yvT1i3zXUVanhxueAHvv/78LVf+QbWdUXaaOS73lrDUAEHxSrn6cyWRxNEFXsGKijmdNo3zaoo0QQqR10B5v01OLuR0nBsBtwJKlW9Z0z+g5o/t9H93apxjq+WhsetT3APjQB/hsiG7KGUVCynHe2ApRiwJeCK7L4BU7uSdLdsJppJlsOy/mzMhMO8GJtAInEGHdZmjfUqV4UjtEnwJ9DQiERwv/C0nL60BQWAIHWJmIByVkniPlRiPHDFo4bNMwgFPPVASvEmxO1Lxzw/GUIp2J+neSXDgQRNqqybLzgwt6g8caxXs/EqHNj4XNirppkwywTEr9bx/j7u4z7u4zfz+PyAxJKy4Yv62gdaLXtaN6OY2AQY7tiY3cV9l0/qEsGGhevW/mu5CaRdJDOjFm++5k32yuRHp9g2M2nJ3c/+JkyAxfd5peFQuU96RMQjS9gKi3rjOgmtwQxYsQcfTIRzgI3WGK9vKSKet8mPe8h8rzZmtl5UsfaO7SBu713wBNd/IKoNaT9KttNi1hDqtur88zF0Voc0jkPNG9i9ODW8uW1BMXFOFBFhaSHyVQTt7ODehd1SFvGzGnoIT9r6vacAA6KGVr3Hwqkt+MEv/yCGDLz+5NvQHt2MKTj8qpP+gABsZF5NWJcFD+eKN+s772AfkyKraa6JYZjJdEsjcjODrEAN8fnAUSWjSHkm1YIUoPo8/JLuH+Sge1Hx32Oj3Va17sAybYTn8w1k4g5aOjOsiGBYRGFE3qTSgEspuA6vRJ2iiaX33faqWLiqeqAjBoVrHjju23UIttDiDOkOMjNKjJhIhk6dBVnoU2rOEc8O86wkyaQUcaA0F/Uiuq7rBKSplSH2LtrzHyKkNVMwVRgTTmXBeWkQMG59w7vthrQ5TgDlVREJ8O0B+de+/iuolxPAjFcvLrjeVjycz2i1hnCfHejA9Sd5zMtywpOt3mckAmAjRFDoNzVdnbI56zxzei9Ap7Sf3cEw8LyiQPOzOwzMakYt7N8v7CdwrOJGYubSygxoj/8+/xv3uSLfuUMFLW77KjK1WFmlsCP418M15zsdCRW247nv33k8D5/a9uzU3j9NDtquiAOt1GTt+wGCUhm6nAQyqwAnt/ruQ2BMs0HtcRxBot+DBCi+5mQT1FyX51+QgJ5gofFI+lWuy/lZg+9Rt3CMpHwuun8/sOuIKD6/WlC1lgK2aHCrhi6eVCJgavnu4z7u4z7uYx+fG5CsfWAbzhG2EDKPtUcmct9Uc5M/7nfHDBsTwUpykg9bUASPAGamOjOUIJpOLxabflYrth6NsuIcMrtMRNMyEtF9FziW5LFvmpEZY2bUyrDg8BMTamMPVM2DthJBqVr0ypjBNh02uR2dWHyZi2mDMhHnkc4t6WKl5C5iMEKXCD7UpkB7i/JQNdfEnCpjDVoMcQSu6vSBh9BZeFBSZvbbaRE2A6SsPF2WhkJOnSJyMEmH5+o6ISdBMGF2PicAt21g7YLyK/8VrS0gGEZkNc+toBeCrYYX54YteOfeoM7pcq+fnkCXEy6nxZu9Vf/S7Nfh8aFPihTJj6FRvcjsqFcRllKg4gECAeADX36fV/4svJ9FzBnyQM17IhgQGfUpfo3gpCeN6BD8zN4iRCgR4KZWh41QiVGbz7MGhhpNcNPJ7+m5eq+DWS2M+0eRIWZmXErBuQBv1y30Iz7Hl1Z2kGR79t9b+yjYgp4HF86PoBOlPoqIQrcVc093vUYKwg2pnfKL5ggi5ywxB4S3ANpGwLJUdBnoKrNXSC0cWgAHI0MClCjhSVbgdsWLywX/9x/7UfRtw+12w9d/5RsQUSy1gZnxuK7uuBU0mlNh8PnszTHJ52WtFWgVT9crnrYOMe/xclykJCsTUelaWpla72PH8ZlrwfPYff6bp/RBhlnhK6mnIJs6Kje6oKnrqkx4uVR8FnbonKA0QGjlvffNUDcCEGACdQlQCQoXqgQG5vS+WlJkvq+lgTuRhYT95djBzkz47xf4HZWUZ6+AfefPY0rsP6C9At6EMB4Hqnnzyo4diB/BYVbkPWlCaLWAmEGyf0t+Ohui5kVqgLJ5/uQzNTU5mWCC7VThpRYszSmjfeztMv1+I+aPH6tbHCWe3YloNrQEuY36HY/cx33cx3185/j8fUjIu+WqmVtBwoOLHGnZOLeT42Y0V3aA2DPzM9NmNmkWCGpCCU77mAFzZLI09B9mrnEY0wQVu+1mbuAGEsVNbG6ynnn0ztnX7oF8CSedDMqYCA8PJwwZ0dMj+M2xNa5m8NwszR4HmZ3LTfVIG8j9VbNjedgMpxZk3iNyc4AterxAdi51wKOZ9ZehENaoHuw2yigUgAp4XPvM1BN5hlvJj/1Qqvc+WcehB0d0ryZCLRRNGXXPQRpwWor3oCHnfZcI7JI+8+bpCtUnp980no8+qSJb0PjUou/JacHWO0jNbTaDgtdFsBRGJaeBSQTnrUXXZxCoOSgh8iCQ4vgDGvQqnllKPUQG02wg7nvlAjFD171ilfocmlELYBQdvudz8WPWZ8JVQ/ebiEtkZBEz8jrc2vZUC566V4GWwqBwPHsyv+Y8t8waBy6P/3oGuhU3C2Das7CNCwoDV5P9e6MxHwyzanhuDe4CNCDkwNFhi81MOsGz32MYlurNF1fRGSwW2h2TKGyNtiE4L4bKBS9eXLCOgVOruK1bvJsKUsJSGyq7Za8HqOwcfHGaU1Y0VDxBcFoWfPTBKzxdV7ToG/PhBx/g6XrDJ2/eOBCHC+PPpxM+/PBDnNqCd09XXC4XNPoUvb/Bpn0G9/P9NMx3x0HcnOrPguz36wR0yMznO2rh+9z7cLviAABdE1jS/N4BgGHo6oGtMaCC3SEq6YU4avP8PWDDrNweyxVmCgsdTI2mfvPc4GJ8iDzTexx7scyqxrFknZfNeA5S8PzPWfWc50L7Gjjpc3nYMH1Izc2L5YRb79B49oecwUxI5ME53sE0FaCgayUAYdpNGOY6HIuwWSbJDrq/3Dfg9/Th1HBeGp7WzQFJAPx00APtCS0YYRMBm1fxxSzeEUwa852xdR/3cR/38Z3jcwOSTTyg8sw+P1vkI06OZn9HUePzXW9uc5H5TScZ4FCWD4pB0hAkyt9UCBj+cyPDNbzhMwGYG6Ko4abyrDSfmXGnY0yPzsnxFdUIOB0AnSIVmWJLQToTpXbB3ZTMgPPiwX0Xb4CW35n/TepDNtajBBHqzf00Mr0yFBs5paZwmdlBZp69MxoXd6eKTbdnl8MIrEi810RJHYIqEJ8zeOB+aRWNGY+9z/uWWpncRDfZN+qlsuspzINNCZpSKQw70LCSHrJGp3WR4PU352Zn00anogGP20CNTuJffDjjm49PuA3Bmd15R6IydBsODI0AJC2LCUQl+o5Z9CEpEIyoasBFuNgpaC3uS9I8riHaN+jsQUMBsDMYQgLnDFoDOGYA1irHdfn9FbP0JMZNxb+TyC1AyYX0QoShAiPXY3Td3YsEoS8AXDcErwbVOObjOqJi4dqnVr3yZeJBXq07CBJLATbtvXGy43S8Q/OaEBS8CApT26PkQRaT03JMHAA5VdObbIIRzkSGdXSnv9xu2ETQezQprQ6CLgthG64lKaWC1LP7DigItVzATNiGz82lNawqqKXgfFrQQnMmItiGV5Mau6C5wpMYH3/xY5yXhhcvb/j6N76JLhIOYjs1y3gXiSdAaQHk83H7WrS/W+EMPV3/8r3JYHvqBRjgUiAyUOGOYmb+DmQfna7m71HE8a1UdB1I0hJH8sHMQWIJm9wpko9s/wy+Ew+Q00iXUubfM/Ex18NfY2RyJhfrIy3tu30WcA2V8S50P36UCEibPh0Krk5pS73LU9/iXsaxyCHDnLO0gxQJq/WdPrcDp1yXCVm92M/72NckdSy5/s8qMbtBALGL6/N8vng5YSleWXm3CS6nitfXbdKXEzt2DQtx2s00bmv/dd3z+7iP+7iP30zje6AhCQDCnj3V6A7e2IOu/l6bXssdMUZmeEUxM5VAcItjwzU4qCnRTNEiLWfmvH5ujNHV+3VUxpaCSkOUaHwjs2PSmgjEOzDas9YpWk5SQH6/O+JkFljhwmYx8Y7DBmwqWGpBsj3MAJIMIuiQjduzcJeWjR9pWnxSoKUSHe57WM9iCJaXC9bHHq4uuzHApKFlgDJ5Fp4dfbwljQ4zeC3F+5gstUBFMQzRH2ZPe26z2uBBdp3NLzGfgSK0Ouw3cqjhoTBQy+wSXdgrab0LKgdoMm9amYHBpuL6BvWGcN9+umKNfjFbNp00YJCFI5VNuhsQndCZcD41147wLqgHgHOpqNFv5lF6UHgYjRkfnJw79fTmyQWp0ddlZj5jrtbI8IoaGhUYhdEAeWUtM75jCvARzQuDOsX+PDthWj9TNKIUMbSoAmqUC0XV+x4Uv88SafsS75dagDKCC+nZHdHcAtgd42jYzCKn+WrOKSKbn0dkj/NwSTlzgBJ3QeMdie/l1HelrooY5RSORfCqV9fh1Q6V3aZXFA/LgofzGbUUfPb4hBfns/ePUcayLNi21GEpCrku7b9+7es4n08BKgUP5wUfvHzAde3Y1g1v3j06Xa14w8VNBLfR8ZX/9J9xOZ1wOS+43W54ePkKnz0+hXbteTafAugBNtekXHOOFYDMwFOsH/k88zgWFSaGB67r9eb3K6pnW5hupKuTA17gRB6UK7wS28UrRRp9OWbYbQHCw+ktgXEmKtzq15Mlp+ZLfXY739KqF3uAf9SuPLvOw/XicG/2mYJDZWa/j0yAgsCNngE2IkCJpl3vBMiwWWnN3ji5H3iQT/v7hn1eTitjo5kE4/h7as3GAbQF5gyQY1PkrpqGDH6NL5bF+xdtDqi5El6yU1gvxe3nWykQANcuE9hWdjF8yfcVkRiK65FfJwi8j/u4j/v4zTQ+NyDhoJNoBIBEBFNF74It/p1jEzgKug+JKuc823Hr8SDusnhruk3dshUUoGfnhXgvjdCLmLmIOffFPH46w1AY989EH9Oz7F2YImUcfwApfl5d9gyeiWcpiYDRw3HFgGsfzteO38+sMiHB2L6RmnoTu0JBESPCpVaUhfB27VAxnJaCIWOeWNFoHAn13i9xz/fu64RLqdhM5yY87wf5JnxZvN+JkcECnKzbAAyzb0qJgIHIhaKEaErJfv+7esAporhZnzqFHjbFlQnnWvxzgW96iO9FFKIH+pN6pem8VNe+cLq2OdVsuj7BjQ0KxRyIeWBRRVBx+o+bGriN8uXhBW5vhgNc7LSN1D3ctgFrBb2VOC+vvM0KXOVdLxJjggB4kEHFxdgZ6eS9yIxoKVFlI5oBypEqggiI9ZCxTscuVUOHgLgCZh4ABQjdRObn8rxgwE1lAot8vwhJiTTQ4Xtgu/4j/29S03JkD5MMJkslSPd3Pqt7u8AYbhNM0YAQHki6I1RUNwOUmAGistPcKk/tyOt3j4ApllrjvXatyLt37/CtTz/Fq4cLZAhaa3j9+g0+/PAVPvrwJYYZrl9fA0Q3XEfHKgN8fcIYA8tS8fHH3+e23WGU4EYMO7jPgNXgVuZ8sDKP18grMupGAbuN9L5uJIABaD53In+em7pltsY7UWs0ayWvdm7RiPKyLLiNDWTZNBATPBGAdQxcWgGYIRSuhgHgTXYxuK81kTQiXwQWYihC2J7XLBoGDjvoOTzVnGT+XhhNIGz5MDEved5Df0f26kPg6fi+3VnR2+/4eqNH85DjcfGddCe/nADAmbyiMG2g3fhhRAIk++Q4iKSJnyz+IENRl4KlMs6tQrr3C1LxxMCpMl60iq+/efLqR3Gw1cNSnIP6ezj1ODdg5DtyeLfu4z7u4z7uw8fnBiQ1slme3cuu5wWlENZVplA5AzQxYKaKDgm24z4z4zQzEBcwKYSTVgWoa0K9O/mkXaVb1R5UHFKJAO2Z3IiBZ28ACmCzyu7ekpnurAJQZP5nBltcR5EVgOwmLuqZzAQJ8+IoA1DaN/DItFs0PCxEeHfbUCvjYfEAdGgK+P36ZRVkIHyuBQbDOmRmarsZFiZUCzrHMfMLp/N0EZxanZlXC+qVqLt2EQHL4s0o0/rS6UOHIOPwnDTBYlClWuXoMO3HnS5X2KsBGShs3Y/VERqUCLzGULTFHXO4+DNLK2jXcDjwBbmupRAwFKjsImR3IjO8fvtmZvu9OjH8nnLQttQwGuPNusGA2XPF9S2uZUib6qxeZUAoFkYKcR8yQ10PoFfVgey0CSWaUz+nQYmM+KxyYa9OnE81HHoUlchBHXs9KCuLOe8VhnOpONeCdYiLoc1QuEBVvV8NO2gn8+aHNRIGW1enfLkAxd8NmaHaDPYAmg0EOZ6NRlBLhBk0p8ZLhk7LWXt2n4CbdNyu3X9mgKl3KFpqxdo72Nws4MX5jLV3GBQUDQlLKXjz9ISLGToz6PEKo4rHq3eOb6XiR3/sR/GffumXcN1WXHtHqxUffvgRDISvf/1r2LbuwWqeNzCrHFzcolwjoZA2x2k6MJLGpgZOh7rIuFsYTxCcqrO0ij4Ew9wlL9cWJgLXaJsnBmV4HyZ20wMRmdn0rETNJEOsp8M8KIZ5/xor0UCwcOhtdge4GYjHsygRzAvZnAu7Ve0+ChMezhf0PtDTpvm4qBwW7+Nz9vsJIE0XD+upjphbR2AeMPq0FEzzEXV796y25SAg7HwxnbjmaVuahfj7KDUcHHtSgfdKIOIdATmtDQEGlQmv1xUW1f7rzWmfvFR8NgRUGIVCw1YIap7AKewgb1Lm5nvjf66FsdTPT0y4j/u4j/v4n218fkDCPLPqYp5FT5JLa16Clwy6DC70k8jUHnQknln1P+cCvopiU8WpVA+6IjDkqLcz3Plq7nJxoOMeSUxu32vOAS7ZwI2iZ8jwTaKwe8g/3dyNao73NtsEPESRvY+MuIoLoGeGNLPOh/2d2X9Hoxt9ZreZ3I73vDQ8rhtu3W1cu8jeRNEiNCTGuTVcb95tuiAsS2OTFVE8AbNKME8gApiZ3RXFq8sJaxfctj4bwGWPkxGOVJUJXMPKt0R1I4MIyYDAN9sewTfBqQxWEY31LKhh3ogtm+flMzPaA3jmoGvEs2MCHlqDqOI2BhQ0m0QSRbC0uP3rSoKhhrULRvdu88QRcJmBRbxKIgowUJeCCsKp1rBA3s0KDEHXMYWSAx4J4e1+X8MRS2T2OmDzPjojurInxZCj4jTnOgym0cU90rqFCS9axePaJ5gVAK1V1wwNNxtgC2AyH4RTu2C7cRzBgQcogHsEVmJ+79L1CWZYasWlVrzpfQbeBgcT/pI/5+57oO59hRJ4+LVH80fsAXSJf2/sLl5MLqTuqrgsywTnDlwZtTWvzAW9j0FYe4eooIbmpMvA67fvUNkBOZeC2zpwvX3LqyCl4LQs+Pov/xe8vT66loYMj7cbPv3sU9S24LM3r/ceNQlCYG4JHi55MJuApGbFEH6tpbgZRTkaeBC5HiJcsAheIa7kBgr9UInKOQBEdYA8kO3i9s8goEsSRoN+ZbvblFdnOWQYNPsKjUBWafNbql9PrgFJd2rw/zLRtOpGXFuCxnSnGqLQ2zrXoJiufsgDLqHjtZHTaS3oqMeSCyV4dXj/rLoGwtRL5X0pRLsT2n63kcYJZghB/H4CeR0BZRzEl30dz6JngtD8C9PeZDc1gUqeVGmF8KUPLvjs1jH6iFeD8eHSMKIPEBlwUweCWR2e2I38WRzyDvdxH/dxH/cR43MDElFDpq5Eg+sdkXaN/h+ZiQcIVNL3fcZSc0Pa3U0skoZuY5u9KmoEgBLd7aZ+ggkwwhYOWa0xemRmC2ieg8FdthJA9Wiqh5IbF7tjz5C5aVZmrGFZSuRZ48xxS1ZoEFSA+PPzbXMHX6WEeL0Aqnt1pkQXc1MHKjBDD3G1Bi2A4LdZVNFvqweARPtGjBAzwwPQdH/JE8o/ZuBx6+521ApDapl0KgATnBn7OfYIrot5trKLziDmO5p8ZWY0NvXM7ifLbne5wbNMrLdEUdy6RdY+5kSA3EqMdWSFIfvFeFQk5MF2pYLbdXMQoAaKa60X13qoAaRBYcoKSy1Q0+gzE3OU49hRCcKMVyy0MhGEHqpPHH9PdzMHajb75yQnPjUgFJUoGKYlaAZUKYFqNaSx5k0tPUqM7zwI6zOQQwRuJuKZcd6pVP1g0JBW1eelRNAbxyJAN4UFCEU8R9lCT8PzjuRDjuCO5nWkCDzvgesInLbSioOSBKxuLewWVmxOsVM1SO8YQ9Bqwdp7AH0D+gavDblA/OMPP5oUUR0d724r1Pwd/8Kp4fFpc8c19srGEMW3vv0pApWjFkIrC562jsYOmp6isuRGHL6G7YYJAZxj7UrHquzSbeZ0ygxsS9j7pj6lEE/K4OF1mY5otZT5XmSFlaCz+adFsO3VvjkN4vkTwATtOnueAPscyvc08wAWk+Z0OqFfn+b5nGtx++wIppPKNDU2R+QBPHOcezYmVj7CFESX9wDiCDAQJbMECgIDz3vl5/qeFHGCDn+UOqmQR5fCfCZ622mB/nOaDXOTPjgvKb6kRlIkM1hLK+iieDv8Pcp39FILHvvAUhjXzS2kKxO2HmYm8bVZdSXyd+E+7uM+7uM+no/PD0gsBOAReAGHZFgCD3Zax6RCITLr5tSjFMQeM0kZaLm2ROfGtFmI15tXJyYNZgbGFj777N3FzbzcPilDNM8tKVwZ7PdwQBrmzRY5+Cfrobx/zO6nED+zfQnElsiGpuA6M52jK0oBWis4LYTbbedJv7l6D4m0NJ5cHCAy2X5tabV/WipWEYzgLhucj+4c/Qg+DmChVQ6TAN8Qz0udFAPYDgQLE06toBVGa2V2JRYRrF0nCDz2BchAKUdWO9Zo0KYwb5oXgyvNuWHA7EY9qwLqAnuK81b1jLxFMF+qN33jSsFlj+Z62AMujsw1HwIRD7wTXcQ1B1hNQEYBFirv4AcRwGWQWSvPoKIwoRhjIIJGMmhY1pZCKFy9KhiZVmSMEgCiEbvFK3k15G1WKRB9DooH2AUR4EYZUYAJCDNYZkZQh3gH+ZZGCa7XSHtuAmDV6WZdFbe491zZK20Hhy8ickqRWPQJ8XNXMVi1aHQZGqEAUsT+Tm7ZfI8JFM9RxCmGYhouZ4xW6uy30wWhHVF8+OolNhl4vF6PUwzXbcUnr1/jclrwxS98Aa28wNuv3XDtG4YI/o9vfRvnpSWeA4LyqSYo5sBtmKFVmlXTmwqo7O+3P6IdjPi9ZO9vAmANt7o5/Q1TK6TiTl+zWszxe9HP5jYEtzH2ylnG5bZn6V+1AmoVn9222fzUDDD2bzT4GiQwsBoY4dgW9zxNDxLwHF/TJZrJioz4O8/vTb3e+zhjmoLYYQ4fF2689+9zHOhRQXXNOUlRxUzHNpDTYGu802mMcsitPMNEnBX5+Z0BRuKd3YHUnjzI70+rYMqfIeaJ7UYW2eCR4JXY2zawtIKPHk5Yb2M+u7fbwBb286vsxiCz0hT30/HX87tzH/dxH/dxH98LUXtuqAEq5lIbi3+JjNhQBxLpagMKPytzfnZuMsm11wA6XF2wmZstyDcaMUTTwGzGtvvIa7jOzP4CvHPaayvom1OhWo1mcNE8KzNqIM+MPpTizdtAaAAeo78IAaiNcWIP/J76LgjPPg1+D5zSMRSzHGSx4dNhsyzFG9jl5sgEoDJYDF0iW5ulhwBAPWk4laeLzxg6m345lWTPAG5Dgexlko9IDdfevalfbOgcVpZJm0oHLYP3x0imEBh7p+cYE7Qhm0R60Dk0gwG/zwux62w4s5kEsIGUnErkrgWTh53N6NYurokIYHXkpN9UZj+QFOM/i8Div0Q0hegpevDMrFfuStB45u/Hf0z3e0cx76dWl/Y510oBg3AdrlMpkd3dg549U82I+yMKaMzjmBeEdFrC/iUxn0+tYoh45RAHHcd+yj6f4IAfLl3wLDLD+9Jgb9rIjmTARDhdGtbhWgGvFjrdLTPqgAPKUgh9U280Wf09KI0hm1ebmCn6g+isRllURx0w+s0b5qJhAuPF6YzresPow/VSZk7NCocoi3cqX4Xr5v3s3757h8LstsnwNWaI4O3ToVklgA8uD/jSxx/jdnvC+Ow1mrmwfVYaLW2OHR2U6mtCC0DytAoKGU7nCtPDseO9rEShE4kKUFQyCjtFzdVfSV90nU9q8J4F+QFsVtJ5H45DFeDiiR7pOte+ffGluZ7cuqCwupOe7QEy14KXlwe8efcWl+rVu2tonaZj1XvvQP4hqaYW7/QEC/FsE8gBuwg9kxTaDVSPiRx3uUoynJoXAdMBLPcFT4Ls98Dif0NToxQg3nb3LIDC8AQo7dD/J25W9vOZx0wQo55AOS/VE2nwZ1sNeLN1DBG8bM3tvSvjNgSruPnBMeF2OVVcN+8/453qNWzd74DkPu7jPu7j/fH5AQnTzES54BczYAD2srkHbbZbY0ZKcAIRzZjLF/8eNrmmYZcYmaoUyIPC5z7K4EsrQGGn1AR1hSp5QAXMjSKrDadWg1Osk3JyLh4kON1H0QE8juGdq5lQzeB9xNwqtYvvzpkNK+xe/90EAKH36P7L3rTOGwAGEDnoBzJzljQRFZvdsrMfxrOIwDwDS0HBGaY7DxqY+hZgF0enm43BQeI6XKfiXGnPaq89dRP+5LrIzNabOagpUVWptUAFuG0dxwxpZpQNBjHPQiYlCXAOdQZFBRm4UFS/ZDZdrAG0svnYUpzW9hiiWvOLi54L6lQsMVChoEPRtPvdZ2Lcm+DU11KQFHcq6c52CJCODfHiZ8S7DWwGRcntb8V/wSlqNqsZ3Q40r/fGjjUioJXQNMBA7NWDggI1py25E5cHoa5NiGpQ3Oek+GX/mNm/BD6/wD7vKFzKRA3r1nf6VMzDGramSyvTQjiz+ER0cExz6+AS7kxcCKMfrFkRCYGoSmTmusY74YF8AVNBqQ3r0zsAPicvteDEBY/rNpukZgPNpC9u/QmPtxUvzwtE1F3qyLUya3cDAwDhZFfw+PiIPjpKLU7nFMHTOtzK27zBYN4wJqfutFgXiBwEPG3bTHDs8gObgntVndoZIPQNgX8TKIKwV7YCbJISvIO7YFsH7FwAuElGfv4YzBIRrOzr5GwkO//dq4kyvBIgwHSa+/R6w+vbOhMduUbOgkJUjUABQOxZkQFHtD8ByWHRT+CZACvfExDme0mZzNKw9Y6Pn+uCVkJzE+DC4g1ENFe00MEpEzoCWESVMBMpiERGJigCP8W6qdOSOZNARIQxvKv9+Vx9T6i+Rpgq3sXas3XBazW8PC0YQ3ENiuTc+yz6McU1lkJ4qMXdEc1wvfchuY/7uI/7+I7xuQHJEJmN4yiCkLQ9zeFB8C4gzUCUgBn0TVo+EGDDs75p8yoHagrNDdqFu64DcTeopFbMUr2mEDRTVxw9TvYMsZnTrArT7KFCBG++FyLsQcUDCY1rGE5nOZeKTt7sz69PUdmBEXG6RtkeeGC3SC5JiYkLz7P0YF5RUXAqBWNMM2TM7T+AzdFFa/6rAcW8ipKgL/nraedbC3vX++7B0ovGWDe3IK614NwK3q4yN/lWXF8zQsvQu2Cp3pdkyM5v9wqQIZnZkyJFOV8CGMVnXSzKqFzAJ8bWh9sMH0AuR7fxh6XiFnbDmexfEj5w2OBGxSC7awNeoYAZFi6AmpsC9B69HXY76sqMU6t4WjvOrWFTbxZYOUBTzCNRHIA1ZkADBDiJStBQwxrk91IDfOX3GYCY2w9ZATBAIJNiZHC3MXBW//xYaStdC7v7HO2C64ULmBkjdFbNCAMu1qZ4uYoBZi7Ud5egcDUixrb1cHLy94ZxcLeL9LMGfauE45zrNLz/TtIvM9XAzLOZKcHnRoLeNBAQFbx89RG+/7d+GR9+4Yv41je+hk9fv8GVgFMp+NKrB7zbVry9bvN9fXFaIKH94QAGrRZYNIc81eZC+iG4DsFSKogYn719jXVzCueyLOhbR+GCc6249g6fImmpzbicmzuxqeJyOmGM4cYAyB4XPPVSBu8DYyEmU/Jn8yQj5gQ70IzfhTmIcVoV49UHL/Htzz6FmeF0qk7FymOKoOQaZz7Pti3MGZrf433d9Zcx+xgpBxikaIZ4BAiH4QE0nIJ3WGMQQf3MK+Ssp8Pv7T89IJT4WVZlmKBsB1e6mCtEcOMpikL7fsR5nhHk17hf2xgA759MfQ8dzkdtX0NyHUR8dnRPEqSTF8exci1Yh+ChlaDfKlZz560GwsKMjQxPW3cTh/jeUtiTZvFFW+wBl1owxNAIODNDa8F93Md93Md9PB+fG5AQe38Ho9xgaAamADKhP7NFBIvKgGfQs3/IpFcdAtg8dm6cJfjCFrQbZDZePVjbwr3qtFSnSVg0ugpXr4z4s8qSlqwc6ObSvJPxYx++OcGDJkIE9+ai5kLkIsYxAHgDQwCAADq8okEU7l7waxuiuCzRDT27yec9jIzuFGybBzolq0GIjTbSmBbXPukv5JthUuMAr2bUQm6Zac4RNzGUFnQnEB5OdTYABAHnUwUXxq0PdHF6VGV2MMM72FqH4OXJ+flD/Z7sAQntJxzB156i9z9oBAnp6qUEsO1UvQHPVBMl7WRA1Csll6WhD+/IXcirKCWqCxuzB3Hs/VwqO1h6WjuGGHr1519rRS1OJ8rsv8fvhqZO0Un6iQfbHqyn6UJhdlDiyd0wu9rvQAFgDFTzTs3zSR8qRRk8EQiNCN1sCnOXysk7mffTxGlTMhQdgpjaABEkK0VwYF2DIkRxv412a1S/X4ybjEgU7LQ+bh58aQBvkIMZFgcoZkABppVsvkeiBhMFqLirWiQmGnE0jAw9DHu42GrFw+mEx9t1VgOtb3j32SdeFSLPJndVvFs39GjomO/Mw2nxcxuu+bosC4YqHm8dl6WCKBr/MWNpjHo64dwWGBxYPJwWLK3hFuDL38/h1STdm7qu0Z8nm4VeZT04i9G0wc4q3jDFw/mCNUrCCkKhAkX06SGd4KNHzxuxyK6LoL99DTChgiOx44tQUjgrMRbi6eAmot6F3DMOyFJ0TkWnL5ZYY3ZtyjMe1WFQcLFmlYgQZhPB9As913s4ZgcFOVdtt15PsJCND9MI4NjcFmG44IVLB/5DZIKndEHz3kEaltxRaSHsBhGYjFVfK2O+TJAUa0phwuXh5L2LYChGuG0dFFU7jffiXAvEvA9WWkMz+7vaVXEpBQLXoNXGh6affgM5klzrEKxieKjs2i/cx33cx33cx/vj8xuiE2BhpU+conGdweTcdLBnyYgiOzo0hOF7ZguH/zpFgbEURh8RQAEehEWWGvDNrQ9z56HcBdkdg46Bf8bGaXfq2pRwdwkaknWnbNXmFKvUOVgEEiPcuxQWwVBDVcVTH17NAU1LSMDPMbN6I+r5p1IhRafjVT1kPXXs16S630P/4X6XjhlJi2NkcJiUiaxCmXk/E9CuNRBT8FJwWSqe1oF1E7R2cIiCg5haGE/rCAczf261ukBXRD3oDtpFJODndyLoChzVoBRLb5tne53XnhQcm9fqbptOSSolqG+RGbegTYyh4EKQEhSOoDdRBhkJWs38ubKiEFDAIFOv3dguhKeS2WOn5vQ+onpTsA2BUdJwHIx2BQYMK9RpU+ZARMPNrdaCtBvduuL40JL6g8OjFTx/1poAgABWiuaChlO4/RgjrI2jImQ4aHUcSJ3ZA6B0BGIQTuzVqBsLxiagxjOYdJDnv2vwX6zFq1bpIAclLEvFUorfpwB1DkRkz9ITAFM058Kgj9A4EfDy4QEff/Qh7JvfwiW6rn/88Rfx4UcfYvQB7Stu14oyBp5IJyXRAJxbxeW04LGvaLWCDLicTxAQhrwNG1zXZUk0WSzkiYbv+9LHEBG8fnzEi8sFBMPTurobXHeBeauu/SiAJzjMtVpeqS2TdtXi+kV2YFCYoGOggEAU1QkADQWdQvNVqldJGLBMjEQzw00HKhdo9OrxyrBOVy01c61U2DmXpUxqVVZhwbZXn+MxlLAhPvip7esTDhoQe/5zRB+haWHMBKYCRQjfNSsqB6x9OF5WQJISm4NjvmfhWgPZl1oBBPic+rT9F1U8KXIo0+C9vxx+eugDddhcnCrqlWnXgAX9S3fqqhpwKQVP3deCq3jV9qEUCLxB4hBgNe8JdLRN9uSQJ8lOof95t/nauRK5ucivcs73cR/3cR+/mcfnBiSmCIHwbgGbG6RGUDobyeXvwDejVhhEUaUwpxwYMBsLMgO9C4YIluq0kmxIyHB3H3ciYrDt9rjZyOz9ZX9uPhYN40LYTJbZ12gyCOydfplmRm53XvLfz8rAZSm4joHRFVtQy1IwX5hwaQXXLkjytFNKltiUXTQsIwLQ+D5RA+oBYNmzfXWP+WwXcVJseM86tMOpLP69O00NANZNgj7jgKXG7xL79bECXQb6EJTCOLXiwao59aqyN5A7J8hkxq2HuHzG4P6MxkHMydH3ZQkxtAETlBDCiYdc4C1i4d7kNLNtG1PsrubakhZZYa9aOaXsukUjs8hkU1QTCmdm26BBpzIApopavWcEF8a7bXjvCQtqlCoUaTPqN7+SZ7LFdt1LH/53E5nPJ7O3HGgt5z+AvfeO2QwqVc1fFgrdVb5XFnPeMtNMs7dJ9k649oEtOkvbicPZy6bmZYhiILrIV0bvMl2OfK5wVAz8/nS1cMjzpznUUNRQ3rN7TarevK7oTZN6Lgf0EaAye+BeGOu2gQB87ZvfxOPtCefl5BqPCGLNDBoVztIKKEwXHtoJp7ZAxoYf+9Efw1d+6T/jg8sZQ3VaZi/LgsIFv/X7vh/f/PYn+Po3v4XaKkSBjz/+Er7+K1+b74XEOW59QKO3EnPBuRYsrYJbgwzB4+3mwOh8hong0+uju9shDBFgM/HC3OIeMBY4AGkUTRXhlTCR5xSqobJXEYAJ5H3N0WfzKd3b5jyLX7JYE0uJ5x8/Mzw3Y7Cck/Ftk6llASYCyNJBrJ3/XkJjlM1F3fHwOTzQqJDS4Xd9FkXFJuat628IQ0dUNf18chUjwjPjhjxGvkyUF0NB5zXMJNLUqWSChPeLPNJ7LZ4fR4XGYj/bDgmtWtxRbw3a6KXU6dYmw3vmeDUVqNUTLmZA3zZPbJGv1T0Xx/u4j/u4j/uY43sgao8tLXa5qRUhiwDMd54Mto+bLRCBkTml6bjZZmUlXVi2Lng4tehVoJOHXBvPXwjfrqCcxOb7rD+IRWBPswJRI4PfSkFpFZelQbYNw9xHPkEVzHbHIyBoNsDT1nGB9xChQmDNaoXvkq0Up6EU/12JIFj7cKtYM5y4zE7oFDoWEKAl+PuHHiG7z34GfzQBQgsLzQKCKiZ4SJhIFF3X50bNHrRtAxqVi0kds7AYjgfVqusrmNzd6SqKYjS7kA9xJ59WCQuc/75FZnDStuRwDwtD2SteZnvFqXj5bK8cKAAGxpAJWHMutcIoAFZTaJc5X/z/ExoYQ22KglPgnawVGTu1JGeQU288uN/CMIERjR5jToo5GFMQWCwy4sAa1B6ObHYGi5mhrmEpjQjUT0uDbB3dwqI1w6w4J9dG7JQvB057gMSuCXcdUAT8zBTVI4ZG8JUAtTJHpcyDJ+bdcjYfUWWn9Il6g75jxSN7TqjqBE4ZCKfKZafOeM+aAneCygaqZobRO65XwpvHJygZllLRn654d32EGXCuFSXAlapXE0pYCXvfHcO5EB6vVwgMX/3af8VtW/Hxhx/h29H4cNjA2jsuS8FtXdFqwaU2vHv7Dj/4W34LPvnsMzze1nlvcxVRi/sVifiXldEI2MYAE4MLozHjfGp4fBRsPXqkAIDqbKqopugS1Tz1+ZJd4fVwz6JVCQCa+rsS1sCpmzNEx/ucB4EOWing4p9T7z7r1TfzqlkXB5sWJhxZNc05NZsSWrCbjmgiQXTZ3bZG6OkofpbucWpOVdX8HXIDgUyW+K/bfMfM81d7smV+n7sudnVdhpKDuVJcnyR0ALzvnafNZ0iwQECl8f6RrBoZAHJabOoLe1h0e2NJr0g9dZnIKetNtVbchqCra5B8JkbVhv0ZXWrFQ2tuGCKGpzHc0hzeSDNNV+7jPu7jPu7j+fjcgORcCwbBs/xqe6dmYvettz2IjiQrgOfEAWbCQuXQhyI2Hsbk7JsBT2ufImgG3I//mLnDc9BQQv8hEShmFm3f2OP74VncN9eOax+gAEAODnbB8n7iHqwu0bPBN2YPLrKp2Kk0v7lmeLe5qwpROOwYIN0tjTODX4nRgw7QzhXXVdCH4hzBue2nPzOmeQGE0MOwi2Ar06SaQTGDZBd+kmsLzN2aHm83UAFarR5oqne/ds1EAJ3MmpsGRcGDmy66Z/YBdHEZbormUx9xrox2KbhG4xExw20bUPVnmc0qVV3UzREcJHSt2DP2k+oU/OxroM08l2xMB0QQQFENg1vdZtVkPlJy1ykZHlxs0Qsmj2EBRDmFygF0vRpnIVptUFXcunhgaO5OpeZ/r5GhNXNwrZG97SKhKXAgwLpXO2YaWVOUu781Carq4lQk7d6XpxZvAOnzhDC6JJaYjd4kgjECcKrsfT9UsZQChQtxVV0X1ap3c89mkKdWvJ+KGoRda+EuZ4ynbSCgp1PuXHYy9Uq70xHh8fqEd1cHI7OBI8ipZL1D1O+NAykPrr3xqOGhLfh//i+/Hf/5f/8qbqNjE8Htm9/Exx99hBcPL3G9XlHrgtYavv3Zt/F4fcS23nBaFjyczzADbk+PeFpv2MbwIDvmaj4Xwq5JABCWvQQUxm3rqLViPF3x5vE61yxieCUl1pfGFa+v1/nETrWgMWOT0KVZ9jXx761ECAbQtGtOgCwWtsuR39Hh97YHfUkCTXil15MHR/ofkfeIKaHde3Zx71Uvco3JkVa2s44SAJ1nQI5nQGZvcrtX//ZXbdfIAYh5Fe51Efh7I1aviBIAowDX2YAp3oMsiuzfm+e/A58E9pYZCFC4qQEcjVJHUCwT+LXSwGzYtgGDV+QrEz5+OAPm2pFifh19eEPGqZeMpMSLBrxYCgyEB6t46gNXERi5Juveqf0+7uM+7uM7x/fAZSvEtqrv720g3jeoo/Aws7E7SMns6h4ojsy+xh7kWf2kEtm0G047UuyHPoRtNOM6YoRweS/30+HzXQUYe/ZxZu8s3VOCSuG7pAu8l+ocfwqqle20K0SG8zhEbFqvLtHRes/oe78OhaFx8YZgXbEd7yf2+4mg7xCAcysohbCFa5YSojeMg5Gkv4zZqNC5+DALYb5TvbwhnbttLYWnpWkNipU6uoRFhpyY3J40qhgU84EBEEUDRbi9bhfFph4UGQBuDBUP4tn8O5S8K3UxBleaQU2pBRU2uzobW2RQMTtVE3arTwCTBmNBRzoxuwjVHEQ0ZnSS2UG+1Kg0WfqDBeg7GAuoOqBgA1SATbz/zAcvLnj54gH07hHXrc8g0ekxDnRUPAgqhUHs1DjpAUii90kGjGPO0Hju9NzOFQYMKIo6+KrhvmTmDT0HdqCYPXq8CWEFhabpFBqHQW4qYEfknd9H/lxaK34Pa8EmilUGKnjvyxLzMINZswjwYj4/f+cyq7y7JyFc3GaAboqn4b1IEBXO7GEkKvja176Gt7cblqUBw5/Lp69fY2wdl9Ygo2Pdbk73HAM4eSPAt7cbtr7NjHsG2hkYc3NdWz5vQmpACK216I/j11ZqxbrtWrFCjFNtMPLKxBc++gLeXG8OomNubuEaaA+E9XUHmVc5CnkXbwaBshFolC3WIXN5S1tlj689OHYa6+7ityxlUuQae0VH1bDeegTCYSahTrFq8T5mUuE4NCqEdOBiZfB+XGmJ4n0eNpMFWQU5AoekZIKigigKQjRshVNp95mfiQBMQG5hLDIX9eeQZIKRPKe9meUsjOBhWTBkxDsRVWMif4dAGPDkRr4zqoZXL84ACN98++R7ELnG5KYyq+8Er3IOVTdhIO89UgrjpIY1qkug3WnwPu7jPu7jPvbxuQHJrW+opUQDQJ1Z0XS/mjAlAq8Z0x+BxGF/m1UL2i0dnZMdma3UN2Av+2cQNLN4M3gLUMIEDHsGiPLghqDggN9zvsLcbCTK7LkZe0du/73CxfuE0F4lyQz6QNiRloIeLj6bKhhuX5m6D/fD93syDPi4FYzC+OS2Be0pmt9ZBDQHqgzgWbkGr0ow3ALUu18ztHjlog9FK+GoVJLf7FnCpVas0qPKoTgtBRruY5dWZ+DoAS6me0wK8I/Pjkp0WZZsYGjo5g3wQIStq4uAqwdLLnz2oCidoEQVNnyDT35/BjBzWPSNCGBUmzs89ehnYMDs1k7kndeZCatYQg0AwRcfTreTAGwz60vH70o9SmpiohkmEcYYeLxGXwN2+iFSBxW9clo4rvVoxEeGnT4Hf7YVLh2p0TtiD1zeh/p+ryVojgzCNgRpiYsZsx0qQrTrh0QNN2RfE8AkMvJKk68vw3VN/t461bKL97NpURnMvieu5SnTvGFVmS+ydK9qeXBrad4VeiwOAO9gdBuuP7KjOUWCdoRQ3YBvvX2HdQxwNCrNx/V0vUL6hh/4gR/Ep599hoel4a0IurpNbGPGu3XD5bTM+T/7epjTjvKROz3Q8NltQ6EO5tUBtipe3zZ89rTu60y8GyP6UYgMvH3z+hAzU8whBVlBfxzTpjefSST+A/D68xpRdc73yGLdmUkTBUAOZGv4phvivQDh3FzjcFqKU6rUgXfJCXR0E8mF9ABMTWxWqZkZRlGZSL7sfE/I+9pYuGWVPdmzE54ITPuz0qFTu7EjoXBezL0hfp720/n3woyFnf44ZCDpWBb32WCzgpM3Jeowbltu0WQXwGVZfC1WQSHGU9iBG8JhLwDmt1Z3ZFtaASGoWPBqkZK/H8UIZoJ1aIBNw7ubgIpbcddSXCP0q/Qkuo/7uI/7+M08vgcuWwQQzWw6M0WwjT2zbLsHvoXWxI7/dvgsAd7rYExJo2sMQphL0eF5bubIAn4cIr9rZtIie1U5mmntwZ2p6zQ0mrvlhjnPJBCPRkBaDwHqwm7DCYuGaAEUkvqTjl+FKRrYESAIUXUK/YPzbw4gKrvIGGq4ZabWgMLYA9fMWgaYSgcbU+BcI8OK6C5cfdMmlBngpSXs07rNHiYUDl2pBdkA6Op8+BfhPrV1p4dcluq0NFHc1rFnKuPWiZPwYQa8unjGeAsXoWOQYJKalopW9h4fQVBy04AAuFwIlQLwRsCcNreF0nbavIN4NPAgRgTJhOsQpwEWj7XWdOphp8oZPDis+Qw0Kww7FUTVUKo7DJXQ6RiCt27mTfhCrBwweAe9eXsiaztEwXZ0obMAxj7fai0YFvqLZ0jbj5HzZzeUwJ4IyODs8N0lAqZuzouv5vdoUAS54ufQspmbn6jrmjgcvgxQjeaAhSDD/WATlJwiKN5EpoGADo1qCyaVsxbGw9Km1mwTxa13XJYTzJx3r6RRZfPnqupA/4svX2GMgddPT67JIcJ5abiNgRFA86KKb//X/wN0uuBHftuP4Nuffhvf/PQzXG83XEN/srTqNsXAbPbn7yzNzPoIAXk6ZYnIpDya2ux6n6GwGbCG054HsWPG1KUQllLC7MErF+3cnEqKaKQZVd9TLVhKxXK+4JPXb0LTBSSFKecQReKjFjesSJAiEYyfW/E1hdwCWxbD47pBw7obxjACTm1BYcKbp+uOey3E6rTrnxJUGIA+NNa9WMuR1ct9Id9rZgdskWs+WYi/KbRPxXUZczXfKzIqhgF123LkGuPvpyDegaDKFpDTAPOXc0+J86/hwpc1JwbA8T6v3XC6VMj1NitQKYC/bmNWirqor2cxd7xJLM8+LYUYa1R+KxMEwIkIL85nPK0b1j7m63wf93Ef93Ef+/iedGon9ozvwsU3DgvxNgWP13aRtJpN/vSMY6clU7j9JPjATnnJKsiz8d7KnuX5mSLGTnXh4FapHcTPcH3JPFTw3qctzCF9Z/HPFL6iSZ1iAz5sFZ9uNpvRHU/MVGfmrjBhDICidm9m07EpGzB6sztGKQbb/HvkmDA0A5FTmrgwJMTcYoZ3Yc1rcArMbY1MXwACmGdIYe6WlMccQ5xeF1UEM//zEhaYlRmnE6NGFUYB3AywpU4Qk4DRM8X+HG6iOLUGIpnVKC40aTYu9HfApCaRPd97fZiq61LiHiUFsNYSFB/sWX7CDBQJDjQKExox3kqHGrDqts+LCKAmgCjen+P9MfVPtAdL0wYVSUDyoUFfRE4h2o8tUSHMUaID+FUGCB6kitjs7UEEoDCshzYjkteZjc9nRABIAQtKVSnefyczyhSAJLuDwzCBHeIaKHpYlMg6m867gjEUrRWQ7QmAqh5011K8WgRBV8GgfZ6BAK5e95NNUUqZFtAvmdCK//6n68DbbWAdrrO6nBquW/cmeEGBIYoGg7encNVLEOZzdakFhfz9kQigdXS8eXycJgBdBl4uCz56eMDb282dqIhmb59n72wCdeDwdHM9CKMBzcB7d6/Lip1hd+Bbap1VmBEGEB++eoX/24/+MP7j//v/G45gPsEzaIYBT49PMDNclgUigk3ddo2JwBVY2uLJjD58/ZiVIsKpFE9IMGNVwSfX6zSY0GHQarNSzex6vFOtWPvw5E+cJzO77zTRvFay1MGZgySicMvazTASUKQO7Nmyne/ETFBF5dMcaBCnwUMYQtTimpv4HlhSYXeBey0OvoaMaalrti/jl2WBqOLVwwMWKF7fbjgtzSt6MFjYXd/WDS9PzfV4qijMuA13ecxXIhNKbgzgFR2I4szFqY+xhlsFSA2XEPdftw0IwXz2B7qP+7iP+7iPfXz+CkmMVhktAjpJl5rIICaPuvegshg9c+/Z12ebbkQZlKUA8pkjUEQLufm4DsCmi88chGk/Ssi+Jt5dOp22MuDYusBq0gWOnv3PN6BDXDcdeTqyb4TN74U5WFEDUPw6bsEHZ/Juv0TAk3q2nNmpGq2UsC7V+T0Um/tDq2AzPEXWvMTxxWz2MYnbCFGnaiyloFXvqaKwaTmZmW0AUDZU8gBZyZxOoYbbJjifMiMMaAjPCR40pGc/MUVHc8b12oFwx7GgVFgIuyWymjOQDhrc47b6MbMfC5ziVJmwkYPGzNHypIP4xNnCkpiJvAKFXWy7qWIdA9fNgzZm76FyrhWbdm9wmM5B1Q0aiAjavZEisAcYVMNi2vxzEpWqLTQzojvdhyuDArTm3IdFVYhpBz9+IXsPFvh84glcDLWV2U+FabdHzkw8Ym7PqtmsqNAzl649YI3vVJs6IwLAxecWhf10Boj+HtIs85i5ML6WzC9HY7/IlhMAFKfzsaufZ6WwVNdKvBPFFwrjUgvehpOdGnBaGj56ccavfPLag/MSlLaoQo6gXuUFmxlWs3l+YobNXKB/IsOv/MrXZpWlMOPhfAbAOLcF27bB0qYX/j1bl7nWtOiR8zzn4ffGFBMkM8e1Mce89v+ncf5eAbFp1wwAT7cbGF41edy2+LmvO9et++yOClVSfFqAjFME3x+8+gBDBN9cP3W6X8yZc1QFNxFch5s0nCqHTqaglQKo4bp1GAxvH5/CgYsnqPLn6Pc0Xc4SMCUgR+gjUmeRc2NXAe7rcAIfi8WD4LREI2DdBkRlguyajRzjd2s0iJWgoY4sxRtms8aFPUnRCXhatz3hlJWRwmAykHS86cNpqc1/rxvw6W31XkPwRE7Scs8Lz4QDR3IN5BWvEs6QaZzSg95Vea8mXU4NDNcBbaF/WQrjUr4z8XEf93Ef9/GbfXxuQPLqfImmUnuGfA+KsvTtwXcRb3CHoBuY7pUP39R8Qxzxe2JALR5kjjxmRFSE5wF4UmTSLQeIcv/w8JSZQK3M4GVmPgMUqe36g+zEDP8q1Fqx9b4HJxn4YXegoawGZfI2Pkfk/TEKRz8N7Fl5wKlfa5dp+SkqQGW8OjcoPEA1Aj6oFS9qwSe3zbUfYnsQSL6RpkVx0roMwCpul5t6A4rA/LxUt7iM+5a9PQyG81IAK89o5UTAUODWB07NrU/J4MGi+jOq5AJojWxpYZqWl5tGxrM4X5vgDjZDPNA+hUNRIcamgm2oU1kiewrybGlmdr0qBJgASs5dd5Dn4AtmuG7e8LFGg8dNxbUZtD9nU5rX3qETLGcQfa6ujeim2ILesYmEcNgfZGsMNsKlFKziFavsX8O2V29sum0BG/xcqO4Z6BdLw9PWo48EzXnPRpCwPV5KgSAFuT6HsmGjmy3ZnM/Zy8QMHkCpuqVuIawibqIQwvPFJwZaKwEkFRpdxLNpYILjQi7s37TPF4iOk5owG/YR4NU8o2kTfTWFbgNXVdyG4VS92aGB8O664mUt2GJu9gDSRHvwy3W3D0/7YbVoiAmCgXFVp+cxE0gNH754idePT1BQ2D9HJQ5RQQoAmjohO9zfHIZ8T2zS0pjdjSyTFtsQvFgK1IDH0ERlgJoAvPeO/8//9r9BIgg22sH5iHdXRaYV+iCvHFRmDHJXtP76U9ebxLkyaAbH65BpGUwIHY/t65GYBu3J54tENeCYbDleu4i6niSuo6bhRDhHGUKvlWAmEkkJlL2rvFOYjrTNQi4mt1gsnQGbdFOvyn14OUFUXWgOTAvjM/PMZA0zkCgsKjszL0TuFrj7vme/lHT1At5dN9zSujnudeUCYsK1d9+X4prSDKAwx5wDoNEXi73yoXF+tTh9MYEIEE56BDwebNzv4z7u4z7uw8fnBiRf+uAVRBVvH588G469JA9gio7NwkUooxbaAzVPuHlANQENAGDvVp4QYtpKfpey95ilfz+L4ydMw8vfvsvvxmZtmhn43I39v2vvEzhRbKIpRlczqEhY6fqG6fzyQ3fkCHxOtUxxdxfFqoqHU/UsP4dwNAL3pXJs0KETIeBtH673CAEzF8Lofi09mglyOHjVCBIV0etFk/6SfVcYUI9ZCwA2wvAOdFMDlBnTIRpAwMXTHC5iWXk6Fac2bOrUr8YFHCdvFN8RAUBWEhoThBhGChlRrWGgkOGDxRvKfXrbMA6PKucJ4AJhnQ3G8mcAJ3VMfd6dlmgKWdxWVczm7835EJayvWtUIvzeVt4D3wp/PpUZtwAdJbOmwKz69OFZ002js3uC5wCxmUU9MePJ3pujZjjXilUFbHsDO3ZUC+1OT7oNwcJuz6yS1Eh3P8uKjsGCTw/PzIbtb2PGCMBYw3/U+5g4/32oTK1zCUF+ViMIYfkcx6RpSPX8OvJaxLwyxjmXYH7PK+FKhqengRenk1uHD8GXPv4S3j6+A8sAUFzLA8O5NRccbyuyyyUHTTTf+QzqYcAYA8bAx5ezi5RV8ebxHUqpODNDVXD0Y0hAnlq37CHDtPdV8vkXZgSVnerE3gSvxD3dhqAPwQ17xVMT+DBBgs+mZl4ZCdokMlFAaeDBAUZCU2VwTVrZqbCjuzlCKwymMqlPWamp2BtopkibAGx9TL1aVkkNu0FCPknKLP7hvqoaTBWiDHBqlexwf/xXutnUZii8wSnB3z2JOW9kU4c1kzfYHagGzN2vyBtUqrreSExx5jYBBCioq9OQgIIS63/eQWLDZvuaRea6pu19x6t4p5OGCoR7VvSB8Xc45spBaa/mFeJChHNr6KrhYLibc6gBN3FXwfu4j/u4j/t4Pj43IHl4+QqffPIJVvFmUcYuGwQwO1PPDSv/T9K1kBaSe3K1hjvU4zomXxcEjBEbQG5oETxQZEFzZ9vF0TESSfDBZjTxxrNoEDvlBJgUlffTpIb9HPJjWzRqzGpJZs6T+vA0xgRB+U+pb7imrWcEiJvtmyDD3aqUgS7ey4DMcOvDaUFMOJ0qts0pD0yEpTgtRsmbN2aWcgNQa8HSCi5Lc0AyBP22gdg52kspKO6ljG6ebSzYuxsnjhPzwEQls402+564voJwbifc+g1hBIRKfr3r8P4uS/EKjQeSe3drhWGNStVx3pRCO5aNNC4xgXFoxofd4tgDhl27lIJiQgqsfe6k442od7c+NY7O8JlpJRBsfm4VF8g7hcQnTBeFhQan1RJBI/ZO06B9GsZ1ngpDrODaBWYKqgUaGWc1Q60VKuJVEhGg+NzeVNGimrT17vQ0chqYSmaEEc/TqywU35vnm3qf+WzCxWkC0KBRERNaiz4xwe3SuPbsaB1T4z1gtc+V6Bk3bbFngJufJcOtd1RmyO0KHR2rGs5LBRvPJpW33t18IiJ45b05Y4rvU+SvHv3izW3FUx8uRjbgt33pS/jo4YJvffNb+Ox6ndWANI0qQWHLhn+gnWbF0XuHimururi9dg3L3lIqhnRwJBtUMJsKEvJ/NNeFtObdF5Kc6WEvTYRUhPky5BXJrorG/p67vix0GOrB/tIKXp0vGH1gEweXxgQo4VQqVu2AubbhKjJLImns4OUOf4gJRAoxwOYW0eyVgYP9wZzb+/PPuUX+VmbCB0kjjM/pXs3IClMuwGYK4ooeuqoCrxqpGaACI56252YulN90d0Oc6wS8YrRZCOGHTuvubFqZ67RFiSgrpLnGDMkkWTyfcB9LLVm6mmWlMhve+vu+n4y/14zR7xWS+7iP+7iP98fnBiSv377F6+tTOJ7oFAYb9iaAOw/AF35J26rQdAAAsQdWQGQXCdPudQnflDHcLjaDhax6JJ9+ZtviCzkAjej8h7mxTNf6w26awcMYup+X7XoTANPVJQMVMwt73wjodM/i57V4AJ/uL3sH78wYtlqiwRymYFsRVpLB1T4V1zvcxHt5iChGB85LQSXyrCQ5x/xRBjq84zgQ2U8FLpcKDqvZEWJNiopQ5QIzF5F3CjqUGhBWzY3cSSwtjzmC4MI0dR+kQOHiuo315tbHw6suAw4+Sjhmee4XIAnwxfvzG+Je/ql7MCAAgGfCC0XzRo5GZ/EpioxrBj0+Bz2okK4z4EzRvGekw3qWFALFNZpolphF77YNTIQXpwViis1cHwOKbu0GCBQihuvw4NhBFmYHbgokrkEdKebuO4GsHbCYX9vj1mfzwaSLSFdQ8WcLuEDbdVBRYSwGUq8hjvDMJVAAtnBJE4UUzOATwAxAl2nzHGCBjgDfO9qj7DTLVqoLfXMu8D7f8+0rvGfVBW6XC9q1YEnlHOT/VoigOqDp7BVVmYWL2/aazGaYHO9hduR2y2ZzwbZ6dastxd3U4j6f2wKI4vHxCY/rhus6UCtHA88EHTRxARPvAn3YfHYUiYKlNX8O5k0N2Xw+JPWIMqCP0cNYogSIyOx76uzyRIkL+hgziN+RXrwxak57PaxXarFmqt/z67qGVbmL2iUsdvvT8GcVVZRTLZO255U7i0aBO9jI70m9nsDve55fTW3IezWywg5gGRTNAxG2wemuhdnEE8BhfXUgzERTP7KOgVu42IFo7hNbWGiL2bRIPla/808aVtL5AzHD69s2q8WnqGZv4pbk8/r8xA5XleuRzb5aad09RLGJ00MRPXaW6kYVqoaHU8Pa+zNgcx/38X+y9yfNkiTLeiD2qZq5R5yTWXXfADSEIv0gzZbuFYULbrv557DCr+KGW46rFqGQjaFBgA/Ae+/WkHkiws1MlYtP1cwjs0BpStWqEXblVmaeE4O7ubm5Dt/wGq/xGmv87oTkf/rbf08llGn0Fwjhk1KVO3HwpQgwlrkVc4EUehXASbxsAaXJh/DHcX5A+yp9fVNtJXxlPYgEobvv0TVwXzKfBrbnsZSR5nszmIhS/PyGFWVGZZDOu23YCiLdo1KWwcI61+KAxQN6OE0EaZJYZoDu8Z4iwI9vV/zFu+Dvvn5gmOHex3QaTnjFEW7cCXV7hGJWiXYPuQD8/sfRo4qvSBiOm0PDHO3RBgMnrHnuRoJ72QifECRfJJPA6FgZuxMOEmw7opotxFZ7rIMGoIESn4Kl+LSrRoDPgMScPi45+RLBnJnDNT0pxkooPTwB4Biaam6hWiXAZa80s4x/03SexGGIhDndqlz2KPMLGPA8wscioUhFVnCWSWh2IpgUyeQFnZW6vFOVSmRVzEtIKw+nVHHXFfjM4EbYOQSAx4PCAQlXyfR6Xo+RMD3HAyPkd4HQKZoJXEpVP44WHaBwDI8ODhx4hHLcDPaEAfdFSezvoRz0lPBnPjNbhpgiACWgY+6UnG2tY9OC9+sbHgZstWLf3nG5XKC14v544O/+4e8jyE9uV96X8htu4JiJmlskC0XxV3/6E/43/9v/Hf7dv/of8Xd//gn7RnNE8gowiyX8zOggZdIQhYHcgpJsLmDR5a1scW99A+86dQ4cvHGbLU6UBvzMAx6GSM4EkUT7eX9b1fi5r7iE3DGVph6jQYyJa3PCGhW8j6TQiLR1w1CHh2CAhfcO+SY6hUFyzzg7qLPTF5lzzl1AE/up6y2x+dlIkrxM7g8lr9d8Pl24mKhsHHU3/HocIbU7pvLWMVgYyGQQp+v95D+CxfvQWLfLWHYVw9yDhwKsbnAmUX56Rp2OMeFy+VyphQkYi0307km/lq0oRu9MoAfmMb/Ga7zGa7zGGr87IfHYjKMIzGAsVEogKavr0FImITSdeYH14Ga3nAHHpoWB9qmamxU3VppXhVei4ooIfp8I9XGMIsR9RzzGh3KYV6mGUlQc/wjp1pQDzc5LnOw873RSdv+G6ArMY+IjfkF/VsWV37UF12B+ZsBhpCiVtyRMDQcZuipKr4MTTsZOx9SNpOysIvfh4bESL7esQlIdKI+l94HrvhEGEp4l5j47XHtdcs55ram2A7jTs+HeBvZSsO8L/w5d0p5Jbs9AzMJzIgUEDmOgovFQT9+K+eiOIOCSJPN0i4/ER4WmkC2Iz2ZLeeiiFZsomnRYnLdoJCQjHJklkwpW9BOilapr3YxqRNF+cSd8JoMkDdx+C0PI4Qw8LdZNXqUWMCzpMgO3rVa03idXqhRFbwuSlPeZOxPQMdgVrIVrWo3fDQGaGHQT/Fg3fDk6VZqqoncDxupouLPrZeoYymQympZ4K8uFfTQHChNuRGBeC2FtI5KgVD7aQ+2sB4QlvWJ4z40w9ltzcT8owyzqqNuGogXHcUM3w0UrSqkwvzOgjKSLnUhbXkexRkUF9aKTr+KO6cMxQHnt6+cfsV8uwaHJlCZgjuJojRK87nHv5+aR8w9AVNGcPCQbVEHzKMNsRdBtJQ18+0r8LYof2TGbvwPrNCKEQm2l4Ag4Va638/7KRIJGmhWrZFJV8bZxrX/pnNsUdMi+B7s9aS7LboMGZNPG2UcnkhJPaGzuZ6HEF0kLZtK1Nrf8m8ygPJJTW2Ih5DApauGel/winL5rDMMtj+lUTGoeyaBTKCIlvt3l1FXN5wtmx21mwrGWRiZRce9nx9Mcs7gErPfPJDOUGwnzDMGGKMhlh08AFk5c8F6U3k6DaobttOe/xmu8xmu8BsfvTkhKVI01/ownJuE0jGynk3Aa3YkulRMRmRXWIqz0mRuu1x1H7+htkFeys3OCaFJktTIN4pKInEXu54RHZrUbwg5BCcw53FETiuQrWKiXgv5YQfEpj+DnOyYUYoyEOqxkrAQsibG4z4feLI5F0L8HJApGKUzx1Wn45Xbgo3cGk4Ebz4p/NqAkuzEBg0i/AcmkJQ4+ITJ7LaGv32f1vqhhjMEOVmRt3Vm1HT0Sh8rv2beKYxgereOyldkRcAGk8LhGM2jl8aiDvCJfMrIjTB+JIV/JWw/eiog84a5KdHQGojOhmMndmRjb3cm5Gcaunegk9Y4wBeSUCK6JyY8E1pywpwx0Sq1znUEWeVoBKgtlwCILrnfRMs3e7JSAJZA8CeLdKITwed+YvESXyBXAWJ0Fme/hcWcHSwtViFhRj2BXKGigkRQcbjTJK1zrrRu0rE7TLgVbKJrFcsSjd1xqwaY6LXmqMshOaIyq4GEUcSiRdBw+qFJVso7PwHsrhBMa2L3s4D4hDrgZ/vpPP+CXrzfsCoyvvwK14OvR8X59YzLeGn755Rcml0Kn8G42IUrkMhB+NzQ7SrFmTl1UM8ft41f8n/6P/wd4+N1YBI/7Rp+Q98sFR+349eM211Oq1WkmL5EQIBICB7tb2b2s0Bm0ytNukfdjdLLmFnDmuvGzL/vGzcXG5MvkyO/MJIZCC0AzqlhtAZ9sNmJv4fwj4EiZSMMdrrk2CtamxGsX2xH3aklOC6a0OTsqTIabZ6qzjjMXlJaUfOY11+C9JHxviz1yq1xTXtbba+wZdir0wBcnI3SxpglicmjOHao8pkxG8ux8/n6e8tzjDcE38/XsqPG8SKGOQwas0wS3ILhF0dkVl4Bt8vMvSvW/r63DnF2fLDK8xmu8xmu8xhp/iA/JSG+L2Gg1qukA+Q81uiNMGgpGKJiUGmpVToUYc8dhVCbZlBKvJarSFs88IjZkBvTufDjZGfebw1mlowJRdG8kj4tBrTvhDOnSnhjkTJoyKOG7BFJWo6SIoMdxLAf1xF7z4TiruEguCWaVeoxVxTcHfHgE5YKf0HG44bLtMHvwYemsQpOk7TNYKEWpFDXCNM4YyJaqKEUnZMGdWGsbg9W6kAo2kKxdC4P+XStKBJ1QQhMIK8Kc9zYMe61wEEdNE0US7tswbFqoRqaKUjn/93YizgJIqVrvy1SNF8nX9YtArQSU5BgDFyFBfiuKDxswzc/0SL6ADaz0myxCOyLHgbCafdWCt1pwVyYxHmssCbZVSV6GsRpMyJzPpEqV5PxUV/oop8pqJIpJoM33iRJC5AJ8eTRABSZjrqlUVMr7Kfk6VCvzmeiVgKCo0ReERGKqPqkI7m1EB4ZJQCpvFUgY1q0AO13qR6wDc/K5UmWM9w4Drl0SpgJiEEVogKgeikU8kRJSyZMrEz8rQvL9p33D19sNRYFt2/BP/vIvcIjg7/7d3+IdjtudicGjdSQcDYigUDOxcWQK1LtN+B3ifex+8myHDfzDl1/5Wh8zidzqhtYb/mKjZ8SX6LqZxb1FYs2pW7KgmbUq3rTgOJYIQ4oq8A3JFzsVIk6DPJ9Y6gJgAJ+uV7TecR99mWROaJFPAQI33svl1MEltIrdo70o/vJKF/bDHOYNMs0P1z0YH8z7cNnWr03uFPD/8PkTHseB42jsCBal708E77nGSyQr47AJlaIcePIMg8NVCDlTpMt6KMv5CXp1Oows6OS+n3/nvbJ8gEROi+6UFPLUMiFcczol1HPPtjBA1ITdBSzzlDCVqhOSVqLLjm7ofXVuAeAv3y9o0QEq8ez5LYXI13iN13iN/9zH705IzB1qQDeSXFUVFo59DgBKiMWZv2HwKWnbU8JWZT5QYZja+Fuh7n4GlMB6QNdaMBor+HzGJrH5VIUMmEr+2yyO4ykADMiVJowCDEyrwo4wc4h6ZhLcBZiGXVl5LCGjmklW1g6T5J7HmHCNPYzi6Ang7F7EHByd77sdB8nuAdEhJMZgfUTMI9OFHgGHUQ8J2Lg+HpG9SJDMQeiTqECduHaXVT1so08YmoOB8G0wkHg0qqldL1vWGgGwI2QRtJZiofi1YYih9cbANcnMe6Fef2XFtLUR0sLsPEycDzBhK1qExzfoFzMcsFJOUJSTpO8piHcw+evDGPREtdeVa3AriocPBrjxGQmxqkLVM4vj6GAg6LEGmciRlyMm0zcmK8EiARtSgXVDc5+iDEwuQp63nxIiAENlSmIDUVmOtflWQuLVM3mmL4QaoqvETmOPdahgsJ6cCNGUrc6kNoJ80DmdEMEBLYo2BI9YP+4MFBNimGTs4bF+477aaoFrXIvOxDfPo0YQ9xc/vEPc8XE0tD7wv/6v/yv89//7/w7/9//r/xny7/89xmj46ZcbzID36wWtd7SDTu7v+0bo4mhTkreWim5H2q4w8VHFXgruvcOFkLFcF+fxEYnPT79+mU25c2A7ixJlQUtt2IQaKrg/lXCPTyhPchHys9hhspkwi542JYlOnzp+vX2gloJLLTjaKZGN16YaGs0Jl+ElQDWp614B0WgU0b8FMBLYwX0F0U2enKA4zuQgjVhfJTguFtf49rij9xHFoyB110LZcghEFDYLO0v9sLUx7+EsLl1DeriH31AKFKSwwrkAZcjkLfbhKD5wb1rFmUwkAJySGV9qXOdNJeYnkwo7+dDUuqBl+R52wse57kFIWjf0Pqa8fTThkW++tY6vjb5FW8jev+1/mB/xa7zGa7zG/2LG794ZBYQSSOFOnIHPlEQcwNDsoPAhQOUrko5zA5eoHiECrXwg9JBrlFMAJsBUJXo+Fnn605FBnc9jg6dPCQMkzQpfQAQkuhdyerCskPdUWQ6CqsMR0GdW+zRkWh2oYXonZfFeHJPKQjnSNpg0AdCNQfu16nwAS6m43e8BKyC8rUBRxGGeSUkQumXNUUJs6LnB799KYYcnaoVZxyNJPZS+AsJD/X/K9PZQvFIRHN2CNO9w1VAIZcckg659qzSDFIFoxf1+QDZ2BtJYTBAmdxquzc415AAD9PgegEnK6MZkRwjBauZoET1mIDCC4F/CHHEP5/WztLSASWkHOSA+g5Ho4MWLPOauiMKCc3AufmdCnWus7vR+YUWb5PRhfB+Uqk/pBzE7aqd7aMaVjqfkGyAEzlXwft3YYQATmlyL5FAll0ZmcETDPOBo9LmpkRw9xsDXg6pa21bQu+H9cmEiGpCwYeFCLVx33mfZ/3QnUCNXImOrlXeeQmHWJyE432ZO6dZfvn4AWIIJj48v+B/+b/8X/Nt/828Ac3x50L38re748dNn3B93/DL4efu2kXNzHzP53LcNquyKjJTgFszumBbBiIh0NQdkdluLCm6t42jszjIB5Hk4ousZcKj8NzlKIVxQyGGyuCZ5f2egnLkHORu8yOxkRoIb6yo7xEfvs2N4rRVF6F/RplcI/9+axefzvtgCbvflOODiOIbjMRpuPdzedUFnRzd40YB0YX2oSCQHa69VAUxpCJrHa8Owx/6ZHcWtKKrQEHCKAyD3PUJbF5GcSbgKFf26RcHHYw9wmyR1TPpfdB/jOBGFp3wOODyuWV7k00U/JSXzmHwlTvm75MitHX8NEZnFo1nQktVJGT0KW9FJ+aSUdQ/9lPl9LwbJa7zGa7zG9+P3d0jgs7I9OwxwardH4C+T2AgGkEWiCi24bDuOdgAe8C4phASIonkQ2/PBFAlD4uo9RZFOFak1mLGYYyrYnH+/HihgT8Xl6eGT4wmBgfUgQiQuNjCDBw8ccx5ShpxZle2hk1/iAX4pBUUMTfxJ9vbeDZ8uG65bRXt0bLWQm2EGEQYWQw0IyJWAScVlJ+/GMyAIGJwqK7kGksWzW/W2V8InREIak5X9rRS6qcfD+uiG6ovEjQGIUIq1huzlCIU0OGieJoJhBz6/vYdHhMEtAv5B/wYLczQAGGUFEufOgJnPDpiYw4vAdRGzbRjEIlFURd0UfoSzcwSNjkwMFd7Yyevu+IggN6F1KQYAY3csuwJbRJQOdrWiEcE17IEwU8EmgmspYZIXcx+J5aVuQOvo6TUCJnEZO50DtSQhTGiNMMk5+ggfCB7vpSoaWyWowi7QriREJxenz+4f10rztfi1MDh1AM36hCGN4aFqhSVhnHMQXiD0nTEm1DOJZ3BvZuTCfIOVt+AQpXGequBSK46f/x7/z5//Hr9+HLgfkRSooKvhH375Gbfj4NyY42EDl3LBn94+4XY8AJB38afrD/gP//Bn3D8+uJ5gaDLYNXRWz2sIY2RS6qCgAOA4Br93dVMFIkFcVglxjpU4CAibu7Ux976iKbPMa7ZXbjwGn9cBEgF0QBeffTO+2YGCh/deCyqAX6a4Bf+/C+GUX1oma4XeHxH8foQxHyF2A9um+OG646ePRyQIFpwiXd2f88aItVbqxuRMq6LEPVri3l9xf0j2aqhyRfdtdsiR3Q4EJJLQLWsDzZYyHRwhWxwdh5inlDGX2M+TO5jXJMdKpXjPzgTlNL3z1bKSkvO1OA+P/4y+pMhLCYPZZLEIcENn5zJe38wxNMQ/RCbvLwU7XuM1XuM1XmONP0BlCyeMM/+ThlpujrKz2t97+CO4YESNiBAlxw+XPciqPgN9UYEMmZUyFJlBzwxcPXkbPBYRVh2fED9yetDHw4cVblnV0ihRZ6zm5qhbyHEWQefTcjqfj3D3TUxzws2S4DkDGghMfFbGswo/oTE9DbTCkd6MUrfOh9aIpK6KooOQppSj7eaz05MBgQ7D7gILsLPBoY4pMDA7SrYemqUwIWnRKTA4LF7wGAMmfM2uhJfdBwNQy0AtK5uS1XoGCsMMe93w6wc9akYkArwm9JNRYRJaVKApTxzXxuKc8mEvWKTeuMwRFISSVuWcFgdu8cAf0fF4HKycQ4GyKXZXwkuoIzahTWvNpOBCqLBFAJTQrQkNklDYEYmOjU0ydSY6MEfrA8VWIDzXJU8RpUSyFLXb3gkBsoH5M2R1PdTBEk7XOq/HtlXeT0VxNCp2FSe/qIhOVajLVrBtFe7AYQPDBVojqQ4TuxFk73MHMm8hCziSiuCtFnwdjoMa2mHSR+f3EX4Wl41bzDHGDFjdmVgqmKTcegdEcaSjuCIq+Z2wrX3jdTDDBsUvX77i0RsEgs9vb3h//4y39yv+sQO32z3gWY5aC00/sTpeKZOcuMwRQXvO5/Q3OSUHNuJey2QlLt7RB7lbTl6WugbnhEWQNE3MzmEWbgJd+RQg5789jqVHAlR3zstWhEWKGnLLcd8dnt1LBIFcpsBGktBz7d5bD8ECD05WVu355Q5fvLo4rpUsxX4R90YS1ue8xdxIFCcSvitCPmCqjGUC486uSJ0wWcemSk7ezNLX/OSePo83jp2+Qix6CSSgn5j7UXbXKR4xnhKOvAen0mOccO4xp1yLSVFVbLGPZgGhh0BHN6PwhQDWeS2PcpovwZSGf3FIXuM1XuM1vh+/H7I1g9x48D0/y/FE6IwHDyM8jr/68QfY8cDPj8f0yWCiocHR4PvOTt02H6JR3Yoni4LqQ80sWuurKzPbD6cYHs4H5BOe2zKhEmhhgJIExpm4xHcnjCkhZoRo6XxISRzTgmvJNCUkT2S+iCTVhJc50HpwFsJMbAyj5KgZpAYp3jKY5sFXYffpYcC9dxArzoemQCCDv0/1nlvvOIyE9VoUl1oAMxw25kNZTnNeVLBfyoJerLiOFcToElWlw7b3zuMuwH6tOB6RlGh6ORDq0saYcJmiisu22KMpKbvcuH3JJxcq4EhUod+2yoQpru3t0XATrJA+gogBJkVZQ81ENP0EztKkEjLBKbyAyt8x0WO3pLvjPuit0pEeNgFXHANowCEjFJlC2ewM43OZPhuAz+BvrdQM4th5FGFS3EMbelOBi2LA2OnKgAyM6dQBiy5Y8iFaKAkBvMZT+aimWp7H/RpB+qnbMSIAP0P5eD8lbIWvUwi2jSoQx8g0DlNtzAS4Xq8wBdwMdavY4tpd943nEv9uraMPw50pO0nrwuC11Irb7YbWDla6wxMCAlyiii+C6X2RgSH3K19cmgyOk5OAuM963PsGaBXsl4pc/NPfSHJtKi77BoGFB9Cat4SrxlQ9dWQttqDk+8xGBeJGdMIoN3C/+9r73Eaz60DJ4yWT65EZJT+iO9d83rvs1jiqFuwBObuN8K0Bk4zlqZR/xr7nhCUCjiNhZwI0pBxw3CdxLCPWcCqRqSqkVNwPGhRWDfhscJSyAzqTwLwEcy89zV88AzzWsZ78RjKpSOGVcyc/93pO7+qQi2AJWsSHlFKwV0ID2YGkGSqc3cSzhHkWrCABUZWQEw5Bk+e06DVe4zVe4zWAP0L2VwJnHZCQrF4DsfmeNvX1B1/Xesd//OlnCIIPgHyOhefAOP0s9/BZ1cMkGJdwG8+ORRGBh9IL4mGQgfW5S3LmuogDj8ZgoG4RhcZDJCFPKpjka56Lr2PCwp6Pzn/TDExhPQKrOB5+v8Cz+yOYn7dFdyDhA++VoKY2ouo/DFJIfu/xWcl9aIPJEuVVqeJVRCFFKTXbmRyIAFJSEpcwrpVcIfw52BWqga8e0Xm61gIr2U3BTA7o/8FKpWte6EgmulFBB6dzDS3/2+MImAcljVXJuVEIoQ2ekDsqUxkdDQEEdj4q5zWSp00UhyzlNqG/H2rKzUYo46dleVoaANJVmxXbvA7HGOg5n8Ljf4Rb+XAGPDRHC5nhCIAu4eEiDtzGCLlan3hzILg/loZ3mHyPh6XsNNd1DUJ76zbJu1kZV4BwLbdpMqnGZGREkJoBeTMjcV1kci6u28a1L4ImDLbKjAa/uVdkqX5BaGqZrzURfHonEf3L48GiQrrKxyQn5EuFHcTrttGY8nGgFCYwQbHArTc0YMIh3/eNJoBHg6ji89s7Wm94PD5gTt6QKyZHZ2TCEfcpI0Of3U+LyJbBJK9tAmo0zHo6InlV7ge9G2ot0CLh8RKdj4CrPdpB2Vpz3gtYHYT5JyLpOMGSctCnCdMXRLTg1hvMDL88+MISuMERe4ZGcpwS0uLkYkmVGdSnG/mWsLy4tkdIQmd35dwlwKl7kPBKRPKRMNrczzahn0p2T6nMlokGZ7WIhj8NDTnNHLUG1NGWS3yOTK5mzSjvV39+nUTxZRfyaJrZfB7BuW+WgIhNWJ7K07znuUnsK5m4lkLC2Mf9gbqFtnk8fyhkIqiVb64Q3KMLkkIV4zSHLqsw8hqv8Rqv8Rpr/H7IFtI8kA+hWYWMB9t/SnPd43fdLAjxiCoYP6uUAhVjEC1ReTKSdOEertyrQ5L1LQuYCuSkSQ9MvE1WSmeNbX01UsGGGPok1pNfopEoUXbTZlX1/N40z9r2gtamIQqg5HOISwSwhkutGBKY5POzVSjdmm7J3Rxv4aQ++TrOZEDB6rwFlqwUfk51wSGAhBws3xOcBpcphZyBmI01vx5Bew24xTpHQseuAZEaEhLC5tBNsZni4+hBrF94+/fLhmGDCZFl9Za/zYe0KCvPJeZvGZIFvKQIJIKco/kMbKuyQrupQIyBNwDsVdGDk5SBWHZuCB2ymdBmgJ3XcRhVvBzAKIu7lFwca8tvxoE0TMdWKAqwC9WEfm1tVomH87svWnG4UdYUQO+E3VxCLaw1Hv8YDtTn+8Yd2GvlXPYUepCAzxm6DlStc23QOI/nfQRBfQtltVSHaxG81sC5QwS3ozPQloRHYimZRfIzBj9vFiDgeKsFxyDU7Me3HUUvePy5x/KP9ZZQGzDY3raK42iQ7FaY423bMIxQr/vjwDiOCXMxALejwb0xySwVf/HDDyS9f33QBVwFm2rArph/pOpVevF0GySVR1dkq5WQ0c45zy7Z3Nv8dI9HUmPDMAa+gwdZvOY4ra1cZzmmmhzOCQr/LHlvAkyQnH4sx4h7yONzIytXFey1sIihgnvnuY5YMyUKFVo09mODyIbrzmS0JZQ29oOqTFqyY+ROjxuJfWsS/PP3lhIZjmTQJKRPhEkME8O134gI2hgBgXX0vpLf9LVC7APmLKRorN2cU2Bx87K4JIJJ7G9Hgrxk7jVzXn/rkTQz5pTUVlRxdI1CgyHuvRHSxJxgdje5rko8i657JYfNU6Eui1vcK0V+4/tf4zVe4zX+Mx9/iP5gYoX7MAwLUytJZRufqj+r4rceDOYROGWgndW1QTngKiQX76q4nTDAWRETpw9GKhf14dg3GoaNhFnZ6aGfTxNZHJBzlTwHK6yhfhVVTomy4fmBYsB0M045zKoMht2CP3LqgsAiuAUffFll5hdE18X5czfg5kFQ50njfecj3kIWudtAelCk6lfCxEY3QBXbFlXJk3O7FMCMIUSNCuA4dX8gdLduNrDH9T3M0B6Gay2Eb0UXqkYAqIUB7QCTDBe+vyrlhf08yRHoQ1LZJqU+U4kn5kUIVWlwPHrAnsAEzMwmZGqvheIJRm5SEmUqotrpJMlutaC3gZYQMLATMt3k3Z+CseHPalhaU2q2wMzw6XLFox1Bojd8vl5Qi+A2KI+67QV7KXFtuNbetEAF+DIINq9g0NsiYEYN9bM0TYzvbr1zTQePZAsPmxGKX49GyOMQR3HggE9Y1aZ8/TCffA7NzqJy7VTJpGUtSQembOq3tQUVBv//9MdP+PVxwCB49IFfb3d8vu6TfG3ic60LeG9s4UkCBz4eD/TowOxFcX17x+dPn2A//Qx83CJRDmhM3Mm1KC6b4pcvv05uQO+Gy14m1IaGmuQNMYFwwNLzhn3Y0cf0FUmuwXXbCOdR7m0foDxxmjqyM8duQgt45lMnyWTK3BZgnlu+bpLbfW5Fs+rPLTMScgBvlzqTuL2wU9cGCyI1eByPNqBVMWINsfDic5/MBKvHvPQ+UDcG7mVTFADXUvClt+kpktwsEe7bszMBR9nY9WCnbHU+udXyHLYoEpkZekjrVhUM7xgC7FC0kCnvbkyaZCVjLBhgdiyWXLNQGSwhXfEzc/K3squpwFwH04hX8LQHndUTE75l4QWlElyREpw/J+8tJZAdCHPUga2WZZgal3mrGh487GhOyOPwKXH8Gq/xGq/xGmv8fg7JiX8hUTEzBPb+jNYyZ4vcKA8JCdWSbhOmBfj0EBABrtvOqmhjsKPRYh/xcjfgWmkC1s3RxVELSI4NKd6sTFn3MFkMxSZJg6pIML7RYpzVtNPfeS4RWPt6nM14ZABqDt9LBM6h5hPtjOzU7xkAx+dNRZjh8CrTyO99Y+X2o/fAhDs+1Q0C4M93gyqhDEmwHM6HacIJgJA4DmUtnhfnzU4diq1SoraILE7AqdNBcrwsHLYX9OEYwuCjm+EYhsO/wdQrYV89YBxlCxPIgJY5mEzSHyQx8OG4zCsDg+PefZKpAQbjGQClD0ZFWVXtuGZmhscwXLdYC+Z42wusKH7++ojry4rwJQLcwywSHV6/FAXIxKTEek7/nHtvUNAfhI0+nxwiFcGuDKCSrOvR0dlE8SX4EIdZVFsRBoYB6QEwBiYUzIZN5TN3oHXDZa+4BpTr1joUJzngSLLceK/liiYMUZlou5wU3kKmFllxjqA7Og+Z4C/S/1J5ug3H9XLFsBuKCL7cWxCz6RIPYSVfgJlwts7Aug9KOn/aN9yPhk+fC1QUW6n4fL3iy+POax3nll1Ec8PtcaPBp1E8oFadohhJ/i9I0QDD0QbhVnEdzQFYmAluBddacd3q7CqqKqviYCJ+DEO3+Ewhh2l0dowAwNUn1EeFinAyN0HMykd2JIBV1PD4dY2EyUCjURXBZa/ofeBNK4oQUnjZCra64dYa+uA+kWvMZZlkDnO8bVz3t0dHLYp7G7hshQUJYUds14KH2BOkaC+Kh3uIi2AWWmgQ63hEN3GmC0r4aHaUJqxVgnvE5gcODHjAF9PXiedsc33lnFp0ki0KJpd9x701AKtYoAHHEqH6XLeKRx+E8LnPpDrTED4bsuS0ngeqTHbu7aDqI5anUJVCSfeAc4muLo1Hdyn39EzeshMLocS2m1Mk5TVe4zVe4zWexu+HbBmr4VTyIYaBhe0EXwEAscRJZs2nSHZLEqsNMCjICubRGkQLrvsFx+MRmvmCo/V4qIScbQTBy/OAj0iNxIPkcD6KLOR9F1xnVfbWSX1zjvmgslOV/5ty23yoIrgbhcRld/oUlKKTPyBg1CdFcPWCR2I/POgRQo8GAbsoLSEUiKpqfE6VMEoMXHjCijySv3wwGgJOFz4fo6UJHwP/o3VctjIr0RZVPqhgK6zgm4cM73A0t4DOYQa/LoIq2XUJ+Ep3lK1MlarnuRWoOC610D06OiV0cpeJV1+BaHyXhwITLAzpFAbyIrKTM2MgUbwnREIIGbvdU9mMx1iEJpHJuxhghTsbNFtU8x9jsGJdK26903NGgNEHarxGgCkpvBVB1YJLoZcLEIEmBA8zPDwJ2+zwaMzRnKa4ztNkUYEi5QmbXpVzPXKtBBSrKmaQ71iqdU9JR2WCs0Vy020ASr5LdobO8rbhnYjRF0wru2sjkqG394LLVlLRFlspaGF8J4JZde/hPwHIDFjpW8MOiLWGr/YVpTBBOHrKLXm4fDOhq7K8Mfpgl4CJ9vSip1R0dFeKKrz4XK/TLDI6geLk0gz3YCBzg1PwnirRbXNktSO6bFUnxA0AijkerTNpLSWgR1HcCHhcQv0iLg4Zaa63v3674ufHAQHw8eC9cTt6yOSu+83j2k/onCVBP+hq4Pp43ysUVJl6e9sw4ChwQuwA1Fph0SncVXEfIZccylUqAgu4VFGlNxQoupE963xdtlJ6iIpIbrKxpmuoRIyzrJ2vJNcBmCTnx6OjLSiikZgDogUqPYosWQ1jcnCpFEO4tz733IKUJj8VZc7fmx8hcRNm7hhdsxYdRSYYLIyQmxZdVDNoCWXDmXj6EigAIZtV9A/CJLzGa7zGa/wvb/wBsr8hZYj1ABInZCrlcLNazITgVD30gFUE1KrE6/M1TgA4tGfAHLALAPkgekRlf8FsUs8eM+iGEHY1zOZDaKsaVbflGJ7PUwGx12NW004SmfPEMTsb60fPVVDEe9KfYb4vguZhjkulTG8aCRoAjwDuEe7SFjATCaM6C3OuHl4bmZBltc7Ah3qev4guAYCq0K088WsIv1C03hiwmkQFlB2BulUMAcSAhwemGoSK9D4opzuDBapLZYVdgKiYyuouieCt6uQblQhqgfBAQZauV9etRMCfwf/Ho/FaR4A53HGEtHDK8woEWiWuTMiaOqZjuTlJvyWC055E7tMK6+ZQTe6B4XCbELDsmkyvCjfcYp41KtRwGr9VVQw4duG5Pizhcd+TxecaiYVkZpwXBXxg3ifXWvAY7JRVrMp0heDWKGAwRpjwyRTCg2rB6D0kbtm52+hCOcnuR8KeYk0xuRgM+PNeEMcvjwNbEJVvtw8MMxzjIMwH/HwJid+MTUskaYKsmAs+Xy5sBwG432+4vn3Gf/3f/jf42//Pv8Mv//Y2Se5QSl+7D7ztO7ai+Hp0mgRGJ8uOjqKCFtV/iQ6AqgMo674BoV80jzR0MRxjYIsktzt5JSaObSv4GGMG5RpdL/WAjJrHKuM+tG913qcQ7oc2PPw1MM0Ecx/MgLqWgl+PRr7IoO9Pyl1DFa0v6CFcqOJmDIoljA9z5RRV7MoCT+s89k1oHXiMTpI+BF+Ohl4rLrVAoSghyz2G4SNEJ0S5d0gkU1oUW90IVQQ7d81pWNrdVuJhDlOHd3ZYVA2f3nb03vkcKIq9KrZ4ThyhkKiQ8KuKbmEUW2ot8MEuz+NUtMm9+NYaHq0DUeDYpfD+MoPZmIpk+bkTDpvIuxPUjVskPWhqKRg2IEWnEpjEHu4ObHvlJ7lD3HF0FongTNw2SS1EeZHaX+M1XuM1fmP87oREJeExWT1ipdnAFjWA2VkwFhVZvY0AcYT/BFgYx8fR+J7oFjiAt1qg7mi+iItJkn20ARTFvkd7HycjswimKHMpcDNCDyIozUpwEi23IKzzvCQqfR66/aEl7wm38Kgmp/N70DrDTyJQOJmRTBiTOAOdSynk2oDBSslAIqt2gevPJCjCadz7IH9ANR7enJNuDpEVIOdIozKI4DgGzAg1ShfuTRVHGzicsDCLSqBYQiiArgFPQFR2HbhshWRaS88EkqQfqSgGBtetLw5EBmaXWvEpJHqNGSS8++wKMbERSpGKw+IcrNPbAIIpRetlwS16rKFMLCFh2AgJTwb+TqOb08YihmfumvAVEaBqRbdxgqrRzHCE0MIW83oJrkcm3HkS7kADkzgZHuRxwbuwW/Ww5ALo6tjFPCGD1EhCAMGuFa4kORuAe2d34FpKeNU43KgmtEW3gJAhwnGq0ijx40FSOPLejcTqslW8Xa74x//FP8b/43/8F1M6+1IL/ld/+Vf4jz/9GR/eoJqwstXRkThWJi6d93Z0A1PhTEBiPsxY8S+KTVk1v1TKvz3GmAneftkntNAiqTviHu7mOMrApiTQJHF4NJ5LdpYAoI+BAiW8yglBy0S4bgwa30vBGDR6/DKlk0H+QxQyUr7106XCweRtV3Zxfg13dDsVPRJClL49UkDDSA+FOgO6eKg/SXSZCS96tDGvD+K+zkA2u3EeCcAwI/RRz0EvA/0xIlmJgg0AXLXAtopb60DB3GusA7UIdimz60YeiM/u1tFHcI+AeztC3Y3d2bsv40CD4z06L3cYTJiQQXmNe3T5pDgKNOBzPNZ2MDG9XCvP2TGLAK336eXC+4P3qg1y5tw5b0UEF+XjLbuWiP13QaqWMMW5O5mj6Ak+GTDa5MvMjrjFc8EGCyNG+fZa2RG5j1znEns0psnma7zGa7zGa6zxPzsheTweeDwe89+//PJL/G3hgN0xiZPuoPJTVLiH+am7ke9ckroAwmyLr92KEtpRSGhurePRB65bxWWrcBW0NlBrwJLiIZOQp9XuWF2XWaKNw6Cr9EooioZijS+cMWEwBoRik0SANI9dBDsIm+qwaQzYW2KxZUGbwOCkSMhuIlW3HB6KTiWStqpKV25b8CIzx9tFqeCjy1/A54QHLMdOnZ0gaZ47QA5HbwP7xiC1SUjd5mNaFuzJAXx5tNmd0Kpo5tDBhGwrimspODplcdOzgYgWmQROjye/GbAX+nZk4iQS1z4hfZrQDc5bKJfChVCQduJcwB1v245H70BZ/I2EDrqEgZ1jcpdEo7JdFOLE6e+hzsOKK889A/JMJvkzHvMl/E8GPDos7DRd1NElycU8vj28MKaHgijU2Y3xkCFVYeK9lSBlCz+7ZrITHUMBQq6Uwggjr51Omhb2WnDrFEMgOTf4G55EXU5wLTo7UFUFte54f3vHp0+f8X7ZcX80mDv+4tMnvH/+AeWXX7BXrie3dT4DlFvdi2IX4EMFA0JOVXyXg0Fi7xQ5+LRX/HjZIQipY+e8VREc7vj4+Iqf//wP+Ljd8Aji+XXb0I+ReCT88mi4hu9QJt6ZaGfFPBRa574EYPrBTIM9MMHGVvBx7+iSGwk7jW1EJb5Q5Wy4Y6uFRQQBfn08wp+GRHZrBg/YJoTiDy4eQf+YBZVxMtOrpeBtqzPR2woV4dgVUKgzISexn0pe7AI79lKwCTlPE9bkMpUOj5hzhcAHFfIuteJ+9Omf4SAUc1BbmzwjEdRdQ+qcUL4aXRiJPV8hy+zQlqJd74amNtsRohLmhZiQw9wXuhk2KfDwSdm2MgU2kkeWnSty5Ci1jdj3j2EneflI4oLnMfeiKLRshTyQLOTMB9Fpv8sfb5WyhW7sDJ70UMhpFMFefb5hWCiRBW/M4VBJnySE0aiHf8trvMZrvMZrnMf/7ITkn//zf45/9s/+2Xc/16gEp9a/Q8IEjft0+N0tGNPKE0KjHqHlvvC3Kpiwilp1BpT5PYbBVoWzs2FgVaoUxf3o2IqiAuGIHu7p+WCKkTyCPDQBIhGSgD3MuJbwipMCFWEn6+/wVRkXwdS3F1ndmTQjS0gQq/R0rW/dyCOI+Uy5ywweLRy1+mAHYt8K7qcqWypzLWB6QGSST5LXqqxqYw2t/mYkRrfbAYBVY7NnoQHMhz8g7niMjjYGrrXiUjQgPgMdoURjjtRl3oKkHc9idI9OSkYUskjq2RHIyR+w8GTwGZi00VGQuHaPbk+B9za7Z+kKjVgvNUQEVIV+Kc5kqo1MmBkYKpgIbvMggHsET9kJhDt+uGz0CYnEgR48ISYgSy7WHDOhVBH6PShQKvDIKq07jmOgiuJP1w0ffeAYhr1qdMfIU4ADh3Xi8IugaEFrHc2NUshsUuG6F1zmmhdc9ysKBgqAe9x4ey3Yle7ytdaAEQlaa7jdb/j155/xX/z1P8JPP/+M++PA18cdf/6f/jUVu2bXzmeSIZoSsh2/tI5HJE9ZRUbIzg5zqhmFvfZwx1Yq/ua//Bv82//3v8Z9GLuGg5/1L/7lv8QvtzsTNAfunZ0ddsqArsCvj4aqiret4N4Guo8Th4g+IRJeNZlyp19QT4ifOUZxXGuFlsF1pYsLVzeu8QLB277zHAJ22t0w4Ms4NW+bEvyO4biDSWJRwQ9vF1iYJpLntYwoU73p0cbcryyCfsSec67smzneS0VRwVstsMKuTIs15A7cxwjeSeyxcHwcBxX3skhzSuDTZd2G4VrrVEPrvmCLqSaoSlW0ooTeUUaax6qF//5ONlkU17hWDN65Tzx6C1NLmft6dnZSGllVIGN1MzU4U6Pb7P5kccrG4N6RxSUHRBQqCsgIbktsb6dpyJHKXo/Wp39RbonpE6WyqEbDbCYfCSHukRCllHw+L/zpm17jNV7jNV4DAMSnDMr/7/FbHZK/+Zu/wX/73/xTbPGAMfgyATyXmp6+Mbkl/IeGUomooDihA5OQaz4fwtnl2IoG9GuZ1I2oEpaiuN0P4scTppDdEYTm/RGRW3QMHKvTkXKek4sxIxtCN/Khx9PzMEtMIzwG4aUuJSlVwUWJR6cjPCuXNsh7qeAD9TYGtq1MbHlWDTWSrTTSs5CqfdsqORNROQYWnKNKkrhpLMguj85jhhOC87ZtuA3D4zjCW4VchXqqICbEKdXI0vPg6GM6vpcI0l1WwjghDULDs2GOvVa03ln1jap5KQFjiDmd8As/KUWJzCTFHWjNYo4IeynBT+jGDtcW892jql0D7w8w+Ujc+S6Ce6dvxkWV1XxNiExU2N3xpRHPn7yZYY7PG52tP4Y9dUgyxmkxcVTUKjCn+WBrZCXtlSZwiEQlq/dZAVZEpy7kfPsx0MYIUzbENaxoreOI80mewb6VUMSyqLQX/LhXCICPYdNUEE4Yy6fLFbVU1CL4cr/D3XHddwbpg/CXR2tUU4r7oRaFuKCl2Z1mVd7j+kuIE1D+dK9ldaqCK2bOebtuBdv1il8fN6gJ/vJ6pWP4cTBozS4CKLmc7G8Jov7ohgLBZau4HW1VxePGvew14HwUPUj4ZK7R0flZtVLtzQVwTV5VFlXYEdqDv3R0w14KuhvuY0zzzdzyxBgAmy54johEAl+wRUj6pXV2R50BfRHBp7d9JgX3I3kWEgIWTOgdqZ5l+NPlgvetogpwj0IGA3LDwwjpYoFm7QcPN/RjhOqgRCJ9KtBEQvm+VVyiIyqiaGEEasLiD2V2CyT2qGPYFCu0yEJS/ttHKuUpLiGDbdGVTtU9UZldq6qFZHJhMvupEK54a32aXmbBQXL/m0+ylH8vkLI4iQAhg8lnMiecLzvisdUDAC57jU42u0O3dkzD1hoFpyO5JAKoEFKW97TEHGRB4ml/G4Z/8f/6N/j555/x448/4jVe4zVe4zX+/+iQXC4XXC6X737uwHy4ZFUfyG7E0tk6JygJKUpzsnwYdCwYSLbet+AptPDzmDKas+IX5lvChwsrZAED0TBFi5+xe8E3MQnCrGKbsxtjgw/wUmh0lQ+8rFInMXp2XNyn14KHDwYJ0waMgB1JVsbYfRndiP/Pylw2CCIQ/q0KmkeA5wF72FTRYBPuRAUsYsmvW8Wv9wNwqptdamEVLyqxfRhGocLOHipAUjB9Fi5bRXeSM/NQ+iT6MAmwON7kP1AJjK/Nh7+74+EDRXhMt6PN6x15zAwsIDTcc3eUWiCBv29RLS5FJzcCQcYmrnxAReFmlPYUxfu24XEcKMIE7UtrUSFm0Dnc8BFSrarKavJY50q1rvBnqBWP8MRJqI4j/Rc4mBQITEIBbBi5HIVBSo1kVyqD8HsbUzDBx/Kx6H2sKjGAXan49NGPGajtoUo2gucwE+5IVHqn2lQGXSoUR2CCyJ8z+RWM+4EUXBhj4FIr9n3H/Tjw9X6L+1ioIBRzkNc1E04LDkNWmLO4AADWDT3khiWSJBGZnizdHB0Osa+xHsgvMBu4HR1HGyhVUWqIMgQMKvlZ6VsxzHE4lepqiQ6VCnlG4NxUCXiarzUlAVUqCDnxOC7ZZHYe7n3giG7PYxgV8QKmtJSyyHcCSBoXBQ6j141ld0LY4Tlaj8SZ3KNH+L+YB7RKBFups8tcY91nocHCV6aI4P2yTc7XACZsScEG8ohrAzj2bcdWmTRg1WR4PSU5Ldl/iSECF4VhQMXxaSv4cnTuAbEXTrNTJOfCp2y2SKqpZwLIz+6hDKYiUMs1Fh4fzi5NJoaIolIVwc0ieQiejZ+TEfB4UjZ+WA/p6II2+iyEWfBctlLwXjfo5YI2DPeWHeKCbgOXbYNAsJVwlB+GXUvAfDmvJQo5AGWR2cWlF5dm92VN5ey4pZzxa7zGa7zGa6zx+1W2Ym9NWMwA4VFFwn8AJ3UlrEA0q9lDwqzP01yQ1Whu2mFWBsFwoEdFi4ZwfLh4yC/KcBRJxRUAtuQjp8JTPIgRlSo+y3lg2f0wJ1G+OmYwhMAG++kJw4omkITqmUd5dl8YmPV4UKVObhLp06Hdgw8Ss0POha+OUFZQ81D3wopzdw9PgOCq5OcBMzkUEXza6Ktgp7n/9XFAVTHGwA/XPc4/zC37wL0P7CfIBBOP8BE4cQcMrO5/2iqx/2aYYfp8UDNc+uV+BxS41o1yzMi1Itih6E4uBz1LbCZqqWgDASF+hfCorRRABeMYyOllVbgz6C465VWLCA6QmHopBYDCdMR6AR7mOIyJTVHB1zFwCWWthPYN2EocS4GJoPUGEw9jRw14GiFiCHhK6wNHRH+X6NYkuk4hwf3wCZkpEXx1czyOAy3UiLJbROz7qt6LAhixDhGyrwYgla10JegOw+1gULdrQa0Vt/bA1/YILxeB3R8TbpXL8nG0ReKN+0kL7zmNAG0mmbwJZiBmRvUz4vrDgwcJ7wkVsEguVJcPjaiwI4IoYDiCR7XuvVgW2IvSMFE490ywqbBWopCQXJIBJuXuUY2PQHVThRbB10dDdRo80ljPZ8cxYYD5/qXtxGTm87ZRtMJYoef3OqXqDAyiNYQyAs74w8bE59H79BGyxjVVK1W1xACtmNcdDnza433D8fPRwtyTBYZba5SvFiY9uxbsAgyhMtuoBT9HNys7GOcERaLFlNd/mC/YViH/SSIhPzJBis5y1GgQucSUdzYROpqL4HrdcXsccy/N79VYI2ybexQGmNU0I9Qzi1k2VtKz9pslfc0uC40pNRTqmBT2SIYNH3ZgrxtqrfjT5Qd8vX2Q41QU1i3mQPDj58/o/iVU0/hcMQA1ilmIe5PFpNXRz7VG6HGZyf+L0v4ar/Ear/H9+P2q6JKyldSx3wpJtkUUUgP338cpYF/t8mGJow75RV8Ey8TsdmNSo6pQjKgkrqoylWkMWlhh7QHDUeHft1DRcZanJh7bsTo185kmYIdDWDEeoVj0tlWwsMjq+nz/TLaWZ0OWAueDMwJHNcpYTgWslYMgg57JBQED9qOPUCDzeb4TCpEP75GmdzI7Eo/esdc6idqp7lKDfA7ng/lxUFlrrxW7MIAusmRwBxBB4vI7UBFUFEZ4caSPPvB5q7ig4NdHgzux80z+ML1C0on7sm3A6LiFw/ZV2cHZi+LXo80u20glHgnIhzgExuSw8/trVKYnd8Ud3QaKluiS0TjzGGPKvL45g7PDDI/GY9hqYddC6R/ibjjM8TBWxJMWM3zg1xvhLqbhLq4655aO7z6vb/JO8qoWYcJhAGoS443wmkspeKsVaTg3QjY27w+JNavC+SxxcfZd8egdKW/rsZb3WnkfCdXjEiZFpSHDPXwSoBKdFJtwmCwalJIdkbX2UDBx8n4iB9MAdC7Up86fBuk875MtOgcZ3AGh6GYhFRsRZiZwkHAMP7XWUrpXQIf5VGmCnDhcSLlnh5aCkfBIFdwP8ivOXbs9ukeHGS4q2EvFR++TD5BFBKdjJnYsuOPt0cmLyGQeGdzzXi1x/d6vOzZh8rOp4tO24brv0DIimCZcy0G+kELwtZMbl+uAn88EdzgTIBHBr8eBPrgHvpUylQoB7st74f1wKQVfW18FkdhTUqyAe3TyWpgkdiSXKo1dV7EkJdQRe3gtEsrdXDMjvHhEK+4HxRJmgh7vn/ul8/ppBPnDKMk8wkgzt02Z/8GEfPURkF95huS6R4dYKAjB9eb4aA9oO4ITxr2xgnyne2/Ya8EYNxZ13DF8QFBgkdi4BC/QAXNDrczwhg1ys7LjKUtwwMcrJXmN13iN1/h2/CE+JCWUgro7df/BSuRWBMMofSonHkAmAeaABNlvqmQFvyQVYvLhosEl8cEHT/qIzNeFkLzxP3NIKH1ZHEM6eFschMSDWAN+QodnQh5UeBxd42EqOH2wTE37+fBzoHeDmsyHsxsoLTq9IDIzi49JKNhThZL/jWf+/KGAHZcvR5uBE03vCBMxc1hjQFYKK87DDY8+yEk5mHC87/QPqLXgNgbuRvnUS62zkpxBgvrpIR/E/DznUhRvpWKMgSNgGpTIjE+QrHzr9GGpjE54zY1Svxa+KBLHdh99BkU1CMjACZs9WKnNAP0sbaweHZEIXt4uobwUni6IBHcmxVFpZQIz4vP4uxb48qrk+zAACSlhpyqWIOWgs4vFoN8kYByC6Q9CZazAtIMBYkIC95DuPcZglyR8SzzU1jIhSJNCzzUhJ3M8APtWaUqX6nHOJOoMp0xFs7zWkRNPjgg/OxMDiQBTJxSPXYfwwEDwpjyLByuByXVy2TlP4/QdmTCkk3YLz43hFipeoXwluWcwu6XkMn9mg9gtqw5xwhUHyLlQj+QsEpotOjO1sBvX0i3buS+4ArdOmI/G8jUFbsGngjBp7c1gZijQuK48n1wrqWwmyu8n7GkF0QPZxQSkCG6jo3RBNcKL3q+FHhut429//Ro8K97THYtYfW8DRQ0tOh3XIuBl8NkZTEn1oexIFQCPMdCc5qfJ2ZDYyGanN9bnvQ287TShfIxB1/pmU80slhe74+A6o3GlQsGuTwbiya3L6ylIGB3m2p73T+x9HjdpC5jcpgWOZLVnV2Jtp8nnk0iWmaiN+Txgdzdgbb62VlXOcXondQd6b3wvgHqtyDpSai1upWA4zWmzm1iUAgojiP8eBZzswmWH3V/5yGu8xmu8xnfj9yckYOXaRkAEtgp4nxVWFmA1Kpd8Tz5ERnY/ssIKOkHPx7znQzIgEkFkfSKXT76CLLJjEuV9kWzhNPyb7fVMpDxlXVdFTiWOIx4mw5xSw1gQKlYHeTYZbkgQQ9PUS5U+A1NpZjh6H6t7MM86n9KBf8eC5ER8EHPGeTmCTJ0YeMJ/aE53RDDUjIGdGdWERIB9LxBRtMCuUeaW0LdOhicQwaFGEmdRNZRCnLwrE09YqAyhs2sVpnHpd5BFQBHgEqRcwjsQCkWc760URK0xggoSsSfszIPj4EZPCACXuqHbwKYFQ8NXotO87q3SHf3X6P6MQcnmSy3TyMzAz1EVeEfMuWOTguYh3zyv71wGYVyn2IUwmKw+cxkoIJw38YRJpbcIAyXddJKOAb5mz45I62gIqVEt2JSB4NBcP9GJE0E55bTvteDjiO4I+P+tVNyt8zvjfiuxRl0IeVNGUFDQY4Irn1LMvPfO3b/F05JI/DLZnJoYwkQn4WUMjM8CETzicxBJ4QRbyZXx3rXhM1CFh5rS8Pld5/kQEDZUO4PMhGgVOB4HIYDXS4WJA6pz3WXniipWiiPWi4tjRBLWI1klPJBrhip8rJa37IhFUaOEMlrRJWWeRYtZABGKBAyh0p2Lz2KO20B7EN726Lx+tVSuCTZZ0MPI1YOwriKoW4E78NE6+jBctoIeECcYfVP2aBfsKvjaF8yRHUFCDfsARB0WWZMXQqWupWCLhOXWDde9PK1jt+XrUrJoEQmRq6BWTkSSut3YqTF3+GAiO8AkCaFb4N2i05Dwtuc1N+s0UcASYccxuR1VCW1tqQwXd0yuRwBTeGHApnSxmeHw4ylpyKJFtGRwjE7n+NP6LlPJT9c9k+ZVUdTIpGbCUF/jNV7jNV5jjt+dkCSSWn0iE5AO1MegGs2W0Iqsdp66BKrAdatQodHbd14lEfyQMB4PjQjuLSKZlNTdQuYxoQcJB3BhkF9UcdgyHHNkcpLnQtwxJOVvGfR0A96LwFxQ1MAYfb0ptenz8zSqmiO6M9kZGYfNh+B5BuNEo26/fnmeqwzaZgTsEbCJwKMa+7ZV9K2GFOx4+h5xdh9+ut2ng3N3Y2ImDL6aDbwH5+RjdHZ4RsK6wyQsroeBxN1hJ9NBRDUUSThlJbWZY6+Ca6FUrpQCCzfC1P+aPh9Rpa3QWcGte8Ff/eVf4HY/8PXjA611qiuJTOPAdsKNb0XxXgtadO7Cjw7NDeKCt61gB/Dzo0UgTSJ6jYCVcREvbJ/zzHk0c+xCbPowdgRdgB/+9Cf89MvPaK1FEmunRBIRxEt0rxgwpYzqR+sBUZIgLDta8CZSrW0Yq/q1AvCQOnbDMUjwLSJ43yre9oJjODanud1xsBuVXcJ2NEgRXGplYJvVaaO6l5e4p+LAGRCekgFgQR2LEN6SvwvBCBYhVuFgBq6O2S2okdyxg+MzWBuhHKfghcvgziU4XSUq/5nwJvTrdA+6OxrAYL449nhN95UYnIUj7KTIN5Mj5SIXABYQQDdjYhSXUj3kd2UVDmYHMX5uZtjS4POpQ+aQWMMjFNfSYiU5ZqpLaXCrGtfH8aaC4Yo/PxoVyMywRSIuws7RsAy+HbdHgxWl/4UF38qD52eOkcaLsraMUnJeObEVQkJ8VP1FKKHNRmh4reis/UQ3Ysbj0cmmOhtl1UOu3X3C9hwOGuc6fBg0+UBgwG+nPTf3wPRi2qpOeWMBv+OHtzd0c9yOxxTUWOlIwFEtTBOBKe2e11Gj0/zoDe/bho/bYyWHIugh31yViT3vm4KtALUMCjC4x73KBfL8dHuN13iN13iNHL87IRkJ5QE396+3Y1bcjsHK0zLA45PEGRFQbrNo4MD5sKhVZ4A8zcwi2cm/PylxKXBRbvi1yJRipAqTzC5GzWQFiV0/kaVPeUDi5M9JE/SUaImQr3L2HcDTSyMwzoQmf5dwiN+ex5Sx5bGsF2U1eP2Af0xIzynIubUeCl8+XZvdHFL4ED0CdpHXaphNXkuNB+2AoziDLXEAhQHT7AYYxQPyVKbBWCRdj9kBWnK+3cmRUJCs3a0HN4CBV3FCNwpk+s+0uOjihJscbeB6ueLHT29oreGnn7/g6+3BgFkFtRSI0n1dwY5QVQZRDzMcw6AnX4LuJNVTRIFXaOL//ZQ0xnpLPDivgaIrSfifK92k/+7Pf0Yfg94EHjKjpwBIVcJXpuAal/HRx5T51UgqSygBITp+qfj2QIOlKEMkhSUCOw2OyGMMHB9RJd8rPT0KZWrvbcz35V3Ywoui9TElr4kO8pDyZddvwKJrIblYZ1ew+ZI+TdEIR5DdR0q5BmFZljjDAOdInBA0+jeEB04kqh5ZRkoYi8z/AJFE5B7ARFIisVhzfg0Z6Aysiwp+2N/wdz9/nYkUoTe8b3q3Be2MayMAtmF4hIBCCRNEz4p97IFVub6nUSAwCyFuhgMrufMoegws48VM9LNDWovGugn4ogLDucd9tIEtEnbz6FII3cG9AB3JKaJa3DEMmzh+bo1yuyIhPz0CApkrNVcHItlYULwkcN/bIDdPAOuOogHbqrxmydXYqk7zxkxS3AiB0yrTi2l12tgJzWJSrYpj8nxyT44u9KlLLqAM9qn5AQDh+6PrnE73NG9jrr1czxoGlMmjSXW3lKne940ywXDc2hF7JmFgffDzt/BxupSCH97e8PU4Yu83DIk9Tl4dktd4jdd4jW/H7ye1IwK2btiCAF5E0Jz+GkmIng+DCIgyEbAsR8VDTKOCjBl3+CS2pls5wK5EFNnRjJ0Yj58/+oAWIc5bgH2/4OiNgVdwRFb1TabS11TniQB/ykn2DC0wCaO16PR+mHFSQE7SfVmARXpUhVRDb37ON55GcjAQHZ6s9mYiByyCbsrsemRBw/mQl+Q7mODRGnobrK4qYSBZUYSSb/Aw8jUyMDYAPTkeIBwMQmWZYKbjEgpdLoR15Ly7A5gJyozIsEuJBMaD78AKbNE0DwzZXWAGk5mganhz/Pu/+/tZmd1KwZ8+fYINw8fRltcBmGjsUnBrHbfeqaiWpyxUvrm3HomlYvQ+vxFRNR4BLYs0MqBioQYnAsNAgaLUgq8+UF2B4Wht0NAw7omqEoE2F/sA4UUXEdx6yMJGJTyDswyqRsI8wHl9u2wTBmZCadUhCN8Vx3W74OvtjjRo3I0QmOwsWHT1PNoN7g5xRe+DyaucYFWx/jMg3SYHwHGYUZ47KvclErjs5k2VsZi9zB8QCYNHN6BbdAACgrRvJe51hbhRQlkwkw6P5FEKcCmKw+dFnQHmTBA8CMxmaB5qR8JkqwYUC+UEq+qGpgvymUl7EZqyJidlrzqVtlQACcnrHCTfc/4Y7GewSmiXxp6V59NCIINEbp/JpmIZTiI6E/ej41Mt3Fej+/npUvFpK2gWJoSFvhkQoEjBpRQ4LLrXgl86g+lhTMbN2VlI+JVGUpYkcHPycc7wNoigViZZZkuFjPd2XBJVXLcN9y99rmet4TcSeyahhYWeTNkZVIG6YhSfcuIae0lC4wCqda19kYNKZeOk9OX49fYxrwunNq537s8uc9+SeCipKpp1dqVE8bCBi5b4fd57QeQ3qv2phO+VOz7aEUmM4tEarrWiWYeBc/L1duf3v8ZrvMZrvMbT+AMgWwAssO9gZbtCpvFbEgV/qzVQQh519MAal/AJGAPkcjAI2GvBxxgh/xnKQLK6B+RLrI5GVu4dg1hmfyCVsODB8ZCshNnEcU8ndhWsBkpwSiw5LyFVGuopEq2CyfuQ5VHgwCRzt2N8PwP5PD3/wnFSGAIskjRIVJxBGAEDLpqGeXRVjseAVoOEu7L6c4BlZtTZDwJuEXYW3DownHCdbAJEEOLxkF7JI4PO9HbJXDLPQcsKRn2s07IgSGcCp2ASg+F43yu+HI2vQ/JoGBAKgpNhrNS7A00H7kef0r7HWIG9i+NPZYfLhiHRFTpVYbleGGgVVfQMauLANKA7Y8JRAN2UwXEE6kkWVsGEDHkG2PE9pSpKsOOrCra64ccff8CX2w2Pj9uUeBUsXhT9S7I6z+u7VQZDPSVHzSE1TNhA7x53x8fjDpEFNayB0Z8YdtFwJTdcKonTYywuT5LxEcm/ZUXaCa+KIjM7orE+VICCULlTRECaxOuTJKsIlbwcs2tSVFELOyx9GLatYCuKoxm2Ss4H76O8wSRgRFxv85Y5JwQO3EfHXgs7dKLsmJVUhWKxwNAY8BeS5M1o6Jp+PlGGwI/7jj+36PiVpdZkkaSq2VN3dYzwhimKHy87/uF2n0srIWXZqaEgGe/nKoIh7C6oM3jn9pAcBSazvzz63Pvc2QHYNlbpXYBHY3Fhr5zLe++AsPtTgn+3gVLCMwExCks4MA1Ia3C4HEyMahYg4r7dCoUILLqZmTCMHgUdAe6NfKS66YTFavhC1cqW1jD69WhZbvC5gVM2HfA0Np37z1pTWQgphSprH0ebUFwHZgd5JqyZZCcuE5hrOed0OBX09li/e0iaeyQuaeLIbgpiDnkeEJ39pUfvePROXxRhYWEkd/CbTs5rvMZrvMZr/BEJiWTHgQlG64YGQmSeglvgiUPCYiJLhsFOIGQDTgnVRiy5F0J+IJiwnjCQnv/JyuyMUjTw3RaVu6yCR2XShS3+hISJkPCdkI0MRAmZKdhrxbZtkHbw51EhlqJTVjR+gYSrIAJXd1mOyKcgfcHHMLspEi2VM0Qr4R1PejIqVPKKh2TOsdT8DAYZpYTBX0AOqIMfsBgJnX4pqAJ8fG38hpIP50XGTwjLOHjwX92ie8EOAAuXIS87r4MEBwB4+IB1BoaUK05ZV8F1Z/D0tlVYJH3dfHINLoXJwCNgOxZVfi+G+zHwVisDxgisWzMcfYRD+Y6/v91QVbCX4FSAAWMmikByEjwMAm2SlRWCH/aNHbS4xOQh8Xg2YQZXBPRIierz+1ZxGwweaWxHRZ5/8k/+Cd6/fuBf/ct/ycRddXXhcs7AwCvXZjWN5Elmt9EGuVZl08XNirVRSsEeMDsGkPxMLYLrrvhUCwyKuzu+jINdpWG4bgVVKXiQ9yiQa3Mdo3vyQ6ialSLdCZeaBpJKYYdcySLApdRQFrMIXMNJffBe2Sod4x89yBTRUZhdEg9Oyxgz4fHhS8QC+ZrgAghQt4IfPr3j73/+dXYu4TIhWiP3DrCTlCp/uWf96W3Hl9bn54sIWoTrE1IKqtFlJ8idMLjsuBQRDF1JZd7KlOP2xbeJboTHPrkV8laqKKw4xRZcpj9Oque91UL56ki0mwnetw1NRnQ/mWAmRC07IsNPHSwLvlKJq326/z8aZXqH8d57HAOXvUzJ4dyHJ1zRAQjnSEF3e7M0o2QinHsS3/lcsHIBWh8zKckOojtWEp+FEKGRK80Qn0UT2KH7DchrZCzZ7ZpdnIAsbhL9WaEYBxW4mGzmHClknkPZCqwxoey2DIKpZLe4PCX2x6IFr/Ear/Ear/E8/pgOCcBAEKvdD4BBhAEZfibJHMB01E1zK1bNJapIvmAREeQUMAAqReD+7AouQhM0s1UFu9QyycC9h4M7wETBDUfrQIQiHg/jDEzyAVZDTnf4wKM9UIrirz9/ws+320wosvrlAoxway8VcKeCE5ykURVCQzhpEfRHxJVkTCAIrWYrATl1H+Lwp/RmOnp7VClnVuMnb4HCYIRzLjAbU4LyPsZ0oC/RnUp4U8bH2fWZP4tgldXJrILzTRrBXomKdHJiBAIphlpYze0B5fNh2LTMDgd8Kd8wYGC/RIX4/EePYBmOixb6kii/LzkEDqoNvYngcJvypa3bhDClUIEHYTu9HwRMVC5R1bx1Oqpn3TODOEoOO5qQb7Npgcc5ZLJNk0UGM7011FLw7//Dfwx5WMR8CXatrFIH/6SHS3UtutzYI2pUOIYIHm3M656mdZsygjdzfLrsEDj+4eMe69vxjz5d8bnSTPKXY/ld1KhOX4KrMrpHuC2T4J9mo0fcR2+1zAQx+WHOAnEWuAOCo9iVkDtz4GEj5Ltz15BlwqgFogVHZ5VfTWb3YVbG5Uw8XtXm5RC+DPp6dHIebuhfvhByWFYnc6+F/Iei/MyNKlmraAJ86R3imF4+VDlj4HrZC46DnToo97gk9BsM/9AIoSJpOqRoXcLIlDdGCd6JQqdPUs/OnAjujUWCPbqgGr4z/FmZstFfw7NEAyIIAw01+5JMH05IYapCpX+Mp+9RSTgoeXwJYc2ky3NfFCZ8ReppX3j2kxGAohrxRgsvk/dS4Or4aP2ps0T9AJktV+ZmFG5ovaObYSuKa0hap1lpC1nerRYc6RtVUjnQT0UcrEQEpyaFIzPsubYAQEhqgsBhNmbSmsuwRNKa6ozdKE7QEQUtYGJPPfaNNgb6MLxfLvDW8Rqv8Rqv8RrP43cnJEUUtRYMcONG4YOFnoeCfWfX5BFtjXTO3lRwCZhXN5rwPQKW9eghwxsk0e5jBsiKDMQliK82A+XpjxAP/V2pblMiyBgIiclhk6gZxT0cLQN1vkaE2PMqAhQlKdocFmTjAad8raYyPQc7MnzkzUqre8iWLriA+HpYDmO1k4aMq0IdCJoIKhcJH57wkQVHySAtIWSJm54P3fgjn8uiVLlRZ+W9bs9SnufXnwn+GkUAAQAASURBVJXBnmqZ8V0rvFwKUo+DCZ8JOxAMgANmFdXFTPxGBD401hQ0IwxDATQnsXsE9jw7JHmcLYL2VD6qVSGhctbHQD8GFJTXbcY5ftt3QAW99XVsCC6EOD7XDeaOr43mjTVgU8fBtVNUsV8r/Wy6zwApE7Ujrse9t1kl31XwH//+72jqKWCV1IA//fgn/N1PP9EnQpfLM5XjomMxuA5VBVtUw4E0xARKLdgjub+3jiKLozHc2Z2KuXwcA+qOSyFcbQt4TxYLtsqkug1jYhaJYMJ6OPeYAdpeg9ycSXEJDpUvPlCRAgvJKhVBqUE8UqCF8lwFoPs2r+uEPWbyy/L77Hqm0SLgU6VqrVDedx2UcrbTwhVE0h3nq1VmUP5E7o49Iz1jyJHw6MYwiTn6mAmMxJrOY95KwQj5ve7A563gUit++nqHquBzLTR7jaT13mP9C0nrPUwgHVQfRBD/a+W1etNCLpRyrZe4d45O+FALmXRC/1biOBXPhPcYE0LMTti1VCbEqnSqD8L6MA8FRJ/J1Gwb5j6H4M+AaoazGJVE8cL9akN5Eo6Ye258ThXuI2OKOMR3xL6W8MxPdSPMEcD90ScErao8JTxrb85jXcWI5OxkMlmzk43o/p72RAdWESh+psrkrUexgkpqmBvw5GPF+7/c79heHZLXeI3XeI3vxh9ijGhmk3wICDwqpSSQC7YiME/zLMOPlx3Xwk35yxgYjqmqlYosWbmHL7ngokJ3bLDz4VEdp/kV2/us5irMgCYeOGIGRxV06E7Iw7OBG1ZV7VRYS9UhFWAI0IPrkJXbqcoFnKL1xLuzQqqhZKUqKJuuKtrpPfNhf/q55/M/PBmy2wDxCOj5ufumIYMqTw9hJiRLapLJ1wnScIKr5BvOrz0nHk/yw/PHp2gBid12PIIUHzEntNB0MOE6MygVTJO6v3zbkQ7ZewQCGtVLFQa+l8pKde+21kBIO5Fvz4XnDrj4VK+CM0jZnRLEzQbEQtWtKEZKQQeJHFGh/WHfcLhPnoEIpvLOEd4fnsE4WFndEw9vtvw5RSZXxaM0y3Md+HK/Ydt29N6eeEy5/i28egzZvQqYTRDCa1W87xs6DB+PNt3QH22gOM//+lZx64bbYCXX3VGc4gyQEIVQxX3wGm3B7SLESGbCS/I7P/NNKyVbfQW6sk6XAaU7Wu+AsyOhJKygj0G+gQhQBRJeFD/d7lx3mWDHClORWbHPJXf2/9irTjgNBTZ4TEVZuZ93lmMqd81yd9xXmaxYdJwUEpCklIs+KaU5cGtjSQ6H2MFlq/i0VbiRsD7Cm0eFSapZx7aTvP+w+LeW6YnTzU7GnnH2JQ53sILfBfh04b2yF53dT4BJKBAdjjhPd3a24KdgOtaSKuARxOf+Yk6jREcafPJeyo50msCmNHHO6RHeJiUD+thbalF2mYQSw+pjwqoSUgWw0FAiiL9eCXlsYxWNVGRy+zT2ubdaccfAx/2Au+O6bbil7Ha3aQTKBATzHIY5RmOCXHc9QR5ZYMt7zBHdQkFA2laSKACuhUnmr9HJYiYSBSINKPO5MJTt5xPv6TVe4zVe4zU4/hBjRG70MpMSG4RFYQg+1YKfOtZTH6mfxGC0R2LQ+mJAR16DJPemJGRmJuxCGBWUNEiXZvABSF0Bd6rppLJNYjEkKrWWFdgZk0dXAzIfZubsIlQVStcmidmXclgJaNj8mqywRTCcDvAJZfom73gu7v7Gs+ocoGXWYEbitIpOWeJU5kL8XXMyZ9djdSVm90NXUCCCScbPw8mHeL4+g5x1mLO8upIaX//MX6cMbP7ITkmnxwfXoqzit4GSa8DpS3ANH5QC4HKhf8aBAfNQSxLCWFBpWHZrxM9/uuy4FsXoA0CBKxOYIjrntHWZwVFiwKuS11KG4UtjEprHmf4CDJR0YsIVwBgDn9/ecTfD8XFjYCI0LDx8TCnZEdCkL1++IFR+oeZwkeWfk92CSLimt4nIksSF4x5GbaqKa9UZWAsYYF22DWMMDBhuR1+dOwH2UKL75qISZtJs3iseC2QrZfIs1HKtEw5ZEG7mj5MUcAa6wuOvYUbKNQpIAZOruBd1yg1jeo2wExjqd3FeNcjnJRLAY4zlZxIVdMha70/3nKyig1uqp1Fxqg/yNLai4cGSMgvpLE6OS6rwqa77/BgDW1FUsNtr5jgycTFK8OXctZgYd5sQTXXO314oWpAKZuRUcYGZOW5Hx6jZcYqqvgMPs3kZk8uhbDXPoka6hw8zRA4Rndvguji5UVSks+XNghQr4LwNW/tmN8OGgirkcLFAwvupTs7acpyXSISTg9Gx4FW6NlEmwXE/XEqd13Iv9FHymPOjd+yFsr8p09wDgityEtpwKsZVd3xFSC3nAo256bDJF8rrkmskYa35tkzmt71ABnD0xs5e7AUihJ0lZy+okFOQ4jVe4zVe4zXW+ANkf1dlHI5JfDQDZBP8eQwsojcgRfB1DNzTiO1UeUNU1Fp0EOqms7VelRAMyoQWeCHMh1VwnR2KloTowff4WI7Rj1CXkeBfWD8FYb6CK9XAk6tgdHZ/PimDZTgJvZOIKVk1DFWa7L5gnVd+58wNZH1nTOEM3udc5u8jME/8dr4+f5V5Vh5LErzzu8/citOzfh6HSyQzMYGS3xXfc5ZVfU5uTj87nRLAwMbUn2BpeX5SAkoiJ3lZAL88DlwH4UOfwmGZB83rXkXwXllNvvUBT5iKLCMzC3x5eqpcSqEbvYTgQgQCA6GmE/OiZbkoO5goV0QyejoxSRUpFXzaN3b/6obLZcfH/Y7bQfLvvTe06EaYGSVBMfNhrjM5eeMUoHfK+FYNjLoTxgih/Gh2oywSpzTQS4jQiH6MO41Gx3DcO5OPNvr0nclEfDqqK4O4W8Cy0t+BErsMxoZQpcsF6GOgSp3BsGF1UK4h+f1onRLb6fviq4Ni2ZUTVpyLsIKe85zeQVSYOkm7ZjJYA9Ij635qUwghLlQkCW4rach7MpOnvJ3yZyLC5AECSSlrVSphRbdreAgqnNeECM+j8lxvreNP+wZ1we0gpEojgfUxIIN7irvjcqkQUbixW5FCIKo0uWzm+NO+4Wvr7CT2gSGEMN5bR5o5qqTHBxexRJBtwyCFycZT8SX/NCfENu7ZWihz7O4h3hAJRJxrekalPPAU84hjTsjpF2tzTlmIAB7HiIQEcd4rAWmxB4gmB6xN2Kw7JcenDDpYeKCssj11d/ZSoBs5ZNPM8/TZZsBFKCf9FZyz3ixksam0VoR+KiO4Sr0R+lm2MueCSnHAfQxsCngLwntum3HcpSi2UnAYFdxgwOd9w09f73iN13iN13iN5/H7ExJJd20PWdEVzLqzgjs6K6OXygBRhRh104IqDqgHHltnRfmsrMOKHh+ASVjNB14NnHsRBqETQiKYZmXGcjzcF5nw28rpDNgzKYiALWE8H6fMZRJBlVKVRjb99E+R8KCDBfziFMSrCKSGTGYkDytY5ZcLWxsTKuG+jhPgg65G1W/07NrEtEtUpI3Gd9ums2oop4+ZOv5+igYnyfvUCcp5iOP8T6IN5PmfGdieO0LTzCzO1SSq/8NxOLtlb6Pg83WLYGh9XjfDYSR0j+hwXCrPrIPyvrdOB3ePjoIZfQPukRxk4JPryWKeJFTZOAU+IUy5xraAM6XEsgFMqKOK2z56SFU7LnXDvbFqe56X1sdT1+0shV1VsV3Y7eopUwwhNgghuwuqxjUxoJMwLRaBcHyUKuE6TJp4v93aQKcJyUmCm3Pw+bLjGB2HW3igEJZ1ezCxukAhhYlcd0rSimeSbTOxHRH8XQKOSAnjvC/iNYMcmeHLwX6pJ2W6xeB6K+SWDdcTp4knKb4c4IHly5PrO5ZXwD7jewJ2luIPCcd5WrfC+3xTGvplAPy+VYw+0GG4BWenqlJBDqG6hOCzCXlnPx8MqNPDIzs7Wbz4qx9/xMfjDvMRnLHFU7n3geaOPRTpfno0cqBUIKq423iS7D3ckP5FHseWyYcWWURzBTvIUV9IpbSZiPvaE1QpIuJRMFDI3EuPNuZeM2GFsce7sMe8l4K7d+6J7kj5kJkExgXqeL4elhcPIQ9cotDk3GsFAEZ0x6Kb6TFX11Kmz9SllgmLzWvkAef7Ndzm8952p0iIx71RKiWWl8gIIZMpBiBR+EjPpoYx1cZ6cLs0VAkxDB/jmOagABXB3vcNr/Ear/Ear/E8/iDIlsyKXBoZJukxHxptDLyFZr7JCS9dFJ/f35YqCxhUdbPQqWe1LiUZASzidwQjRQnTye+SeNhuuoJQc7opFzAZCqOFPInn4n8GzGP5PhxxPDWCKI3kpwg7Oj4c9RpkxflZHtKokh8bTQdZ3YznyZwKPLWyckwyqT2/BrMxEfO9Hq5jGImvIbVpwV1hDOCzkzRfbw5NbLNQBWiMZ/nMpxbO03Es8mhWKWW9aZ2zhgt3wPImbEzZpXKwMl5F8XmvGEEYxlm8wB3e2Hn7OOgjcb1sESADIxzil0Iaq7V9GFyBAQm1pAWRmZ4OtnggJRLQw33CRfZS8Ohj8oAATDj4Ywy8b9vsqJgoHq3PAGdTpfqaBx7dV2B2ViUa7jCMWc2XWMeslLNC70pS93YpvOdCapQBj2PbKt4qxQkuVfAPX3tI6PL6UViASkSXSj+akYGyCiLHxTAPfwvyFNwx5bDdARcSvI8MpmPu/vz1MWWMM/BMzgEcGN1R90hCpmKun14f3ZRzshARdBLRef+seypfp5oy31x1/CyBafw73nhO2Gd1Pb5qrwWf9roEL9zxJsBNgF0L5XM9DFSf8yRk5zRhPy7sMJ3XWXrC9NHxtm14DKDLCC+g6PwK7+E2EzjCB3+sG6GHzs7wuQs7CdYiQZJnpycvQkJRs7MhAC5VsangayinkbTPt3Qz8j1EZqchFbxqXZyLTCIBro+igvdLJYQW3LfEaFSbohN5nblGCwZ4vQUSghx80bZVVGRxKu7xKHwNc9xbwy+3B962yiS2cn9J3slWC47GDmE5dd1zT/puCLBvUYSI/X8YryHgT/voVBfzmAERjD5O92Ks5Roqcubz3vk4OgtXr/Ear/Ear/E0fndCQijCqv6pMKjb00xPgUP4cPpy8gPJ3x82cL83jGG4bBXdRgSoit7sRA5k5DgE5Ik4MDqJnHs8AFqQ6wtosiiQibtGQABmB8d/87G0AiMjDAvOoC/dqPtwkOHIgGBEQmDnh388sJmk+XPpNquz56+XAFVVmT/PpMVT5vSbx2h2jkpi5edHyYLjRCCpVZ4096cil7AKmocG+CnBYEA3A/DfTDZ4Qr85k+dTdMe3j+CU5/Qwyvu8VzpjD17zWhRDOfetUwlrrwo4r7mJA53QjMu2hcqQwwMSpsJzTuhHHr+CMKOUyyU0ZSzYW5zPIyRFCxhg1FJYxbWAp0Ty2GygdyYOqcjUQBhKTa6JygyCs/KbfjCUICbkQ+KaujP4ikYZfW9E0A2zYp1S1iOkXUshScCHYbjg3gYebdDrItZlGkP6MNylz6ovA0jK2x5m+PS2IZftrFADk1TeOwNmEf7d43pmQpHV+SnhHcFx7hXXfcN9dBKZEfsEsMjTM0ngvd+d17+qxves9VgYak/y8ey25K3kHk7tvF4av8h1kRnJVhV/9fkN4hRNOMD5cydc8BF+Hx9jwEZ6UhhqkPW3Spf0Fp034Y3OQkgm7sb18eV+o3CArPtOQ0jAIqtKyXIDizl/d6MZ6WMs7tqlKB5xv2jhh7U+AOe9IkWgtpTCDEZug5Ksfh/21DXLezaLIkzM+N7CDYceInGRzlLpAhaSHJhJv7mjueNoTAY0eHSlCHpP2fQlnysuT+utBuSpbhW9tVhbwE8fDzhoAGnO9QRh0WMISfOXvbKLZ5lM8ShnZ3huTTyOWpRiAFjX1ULdkd1sEr2YuEskjtz7762FbDOTE1EEXyRu6khki7KDNhUTX+M1XuM1XmOO352QqDNYTmUbR3gFALPyyirRkgMVAXzXqMo5frndn4ip3NtXMJzQDk3yOrIyzGCqiOBuId8qxJ6bCzYB+sEKsZszj8gHaAQmEweNbwPuRdp0SjjNCt8kxfqpIr8tsu6paPqUjMjp798G8fPfsn5/Jtw/v9jnQzwftj0SlzEyQMhQwQMXHgTYkNAdZqglCc2YwWoGz98e4GomnRKs088hz+c35zTPJeft9BIV4LoVHN1YRcWYiUK9hMs5BBYJhTmT3RK8gLfK7oGWgtYarpfKYNExO1oaMLoMCgyYss+l0tiQSkCJOV/BCxDyzlFZZgBvk8TcPYMmqnfdbdBV3hkcd34pZY4D9lIiNWtBZlaQ01KFAa1u/PtWFY8+8PP9WK7pOXdKoq4bExV3eu18GQbZHdetzCp05PFw+DS4BIAW0KqigjYiIQsi91YUexEmgnk/Is0Qmfi3NrBvZXbacu3Mrp9hQv7yXkqTz7OEcO5ASkIKg1Q8Q8sSEuag94TGNUMoJ1kmHcr1Jh6EeElyO2aXRSWUtyLylcD2X7aKy1bxODqaGe6d3Ldf+sBbdAdaGIIWocv8I5d+JCBrjQR8NdYrVt4z742qIY8dBHmUFdwjzjOLC24nL5OC2YVuwQlKeGWLKn0mf2IIuWx2cnMNhghicJRWYcHg2FVRIWgxRzYwHdaBqPYXedofTvkMjzf2dYl7LfcCLUzcRAV1o3zxw2wSxpM0PoIH2N0wDoMcDXstsd8wQVMR/Pi+Q8DiwUBSYrha08vnuis+0kk3NqLZ1XfMTvBlq/M+qiFH7wC8eyh0OZMoEXZSHNg2DTPVXOeRzAFT+CILRxKdrjbGS2XrNV7jNV7jN8bvTkjeS0V3w1cMnCPtIwLkS+HDG27sLsTDaSREYfSpvjID2Qhut73Q+b2RVGhBYgQi2DfCI+6DAZY5q6wZrGkkLK5MdoCQDo1K1ko6lgzlrBKezjFNmEt4jqwKLoKYH1VEWT4SHoo3icshvEyyWMwgpsp0bp9dC2ASye304Do7DvOQCVETYBnkKeZnuMwzmlVqRwRv/gzJyoTBTyfu83fP2dPzu1ZCMg3XTknZSqww/UMQQXFWuKUoNkl5ZeB6CXy1GavvkXCVsuYkcfmftw2H08PhUivaGHg8Oj1VECZ2EQxea40kggFSUYW7EIokJMB3s5OcqU+ozRaKPhP+NwjR0yoYLhhiuBRCzR7h0O0AMHjO1oGOdd44Xcu91ukav7pR/LMnIV5kQtPerxuKBJdADOpMQlMN6ddHIw8hyNfsWnItJCzGJM7B2fEpyg7DEYFeH4YNOrkuW1F4mBsKluN36zbXlwVT3Gf2idUtzEUQa6OPZWzax8LvAyQwp6pXwqK+A7g8JWiyIF7AE4QMnvfuWrXskvE95pjdIxXB/ej4ej9w9D7vhYcZjkE4Twp2bEr38SY2750+u2wryI3YeJ563r0pR10rfZKGpcRyBLDKDkKp7HzkmnVzWPNpetqNvB1V+o+cz9viOE0cmxYS0p08LXadQsZamQiHJNfkjzxGKlTFHAfcz2J+E0qVo2hKvOv0FHEHvvYxg3Q3csY2Wc7rHgvGsVzfSxG8v13xcX887TbT78ccf/p0obhB5XndWsfRuX63WnDZ2IW7hd5v3QraMZ4KRKWyyFULr+fRyBNTFbRYl/N546fz1ChgxDXed8XjEb4rIQaR0EteCz4EitArpo8FT36N13iN13gNjt+dkAy3CU8ZY4bAswJePPDxgaPVgONAMCErmYDMINgBlFD6iWrf7ehRuYpOSDwozBg05HADGgyXraC7Y6usXqcjNLKlnn/P952SkTz+8wM3YSIZWZwfyp7BVMIBIghSUCkpid2pMsNg5QzDWhW2+SSXkxcLQjbXnIEkMP9OqIIAQqiJAE8kynVOPAEHJicnA6anRPBEPIcndO08Dx5V1TVk/mfBL3BK9BhMxZrIeZX01mCQ9L4VdMNUgprzHH8mPK2HdKyJ40tvDC7jO7tlAqOoCvqLOKFICXVixVLDt4zJ21YrjQIfDFicElYzkGyDGlYSDpuJq7dY700dRQjNqYXSwhbz1DMg8bwGK8GRmM8RHQyKCRSoUjlqwteqYDQeTBVWmdvD0DsN+NxYAU8eQPMUZNBplJkXyGIxyynpdTdsbJ9QxUl0dnno62EzpJ+JQIpFyDq1p0URP5yKVJkgB84+R/J+ZicjxoSrxfeJYIpdnL8mA2TIchqfRQUhpK0UneebxYRc8x6JVGsdx9GZrJ8yoPTR6MOnyhYE+OidwbtQBS7dvPnRMl3r5/fFFZAoanz0jlvrwafx6HDY5CqkaEW+uRSSrWFM1Hpw4vL+PRcv8l5WiU4a+HrP6326f5NH4x6fG4Wk5KjUULMSDzhuFFXybEt0rykEsMjo81CEXXQDJsm/dZvKh7l2NR4CHgWBdm+4lAoTm1vUMCNU0YEvrUGL4BN0KhvOQgcEb1vBvRUqzaUICSs1c47qxq5LjeTBxKd/jsdarQGJLbHeWcjwOc2ZQG5b4dwBq/viLAN5JH5HH3i/7tjkvIJf4zVe4zVeA/gDEpL7GJCihAQUBgB9qutQSUo0An4JB+7C4Olwnw7C327RNjyIzkJIjhmr7MATlCnDega+EkEMietVFfc2AiKyvmGZZK1oITH25/h8vt5PaleBZbdMPCT4H7JcfUmGBnHhYPU4A9TVNbD5LaI+ExV+H19XikJ1ZUmqVJSaXAAHaqExXB8MpLeQ7uzBzZA43/yQMQzbVmaSMbpDldKz84eRIE6CcnZvJHwFIlhldVHmMTswuSr5w6wU2wz0ZOr8OzAJn7oJygj5Wz8nPj6va3Z2IlfC14NKPrUWYCwCeg0okgUu/7rtuO4bbo8D18uOr/c7Hd4zWT4aWlHC8nJtiUAK/z5AjH+S3E3YHUlvhe6OX44GEyYMhpXEbVVgEfC4rXPK5WCe8tUB8wDJ4ilRXAtNZqQA1g1fjo7NDfdHX8G4g53BrASnp8+TFsLzHTZjM19BvYDO5jVkkKuw+0K3eFuwK5yuT94sjnk/5M3Jl8i89+EBIfIsRMhMvjNpd8cMmFMZ60zgzsQrz8lnQB0J+ndJEebnwhenKJPRMXhtLdaCIySOEeRxoT+ICpOEe+9MhFVw3StFJ9ymH0lvNt3e+zDUUmaxZQayIthU8Bg2VdVqVOotMI6zLhDfrSL0VNJVeIDzEveRFXiZnRBXXg/CASPgjih52EnxLsYwn/DBI4oCHtAp5L63FZSQPKeqXCizFSazrffwhDrlwBGM8/AFMO7N5Dxh8r08TrZAlrli7PlvtQLmOJzHKcp95jEG/BEqX7EnDgeaNVxbCbETJqMtTFeSMwJQXSvhn7fWowtLvkiS9D/vFeaEhV22QmPWlGeOzpEL2DGN4xYB3jYWOcxJZDc4tCo+XXf88nHDa7zGa7zGazyP352QSAnlFfDhWbcCb6GEhUhYbFUnAZ+B+4RP4TmOAF+G6mHWpaACzKx8yqwux0dOWJVE1ZMywTbb/DxYzG9SWW7Gq5LvqxMC8GkvrOxl5Qzu8DFYuReALu5LIjarwBk0CxZuPfkerEqugGCRa0/BXAStixiMWQEslUGOaTi2x/mcK7urbXGa2ZiL7BZQacigtUSwwpfVqHbO78SqOEMB71gwjNP3ZWCYn5PzPmVZJ5RlBSBSBBdRdHdgo9KWD07uCEPNMQxuDLYmnwgL4qFCQqsEb6TZwKMzqjM33I+O974DcPzFvqPXgnEYEjiRa0WLPCVJUphYDsMUMZiRYs5VKLw9IhGtKkgEjCNhLyHjG3PCxCSubyQowwExBsr3MQAFORoawbNyjfc+gouVfAUGdRmklUgk3dY6Oo+nZHtli2gR5LZueBQqmG2FynbWfHVGIvg6tcGeP9+WXDbncb1mEn6xEnCfS35lD2fOL9XHFiRwygCLs2sRHISne/x0D6tTOMEtAlHBNAnMTpcUGgWKLk8jdiAdKCAfTTn3yZHg+yknXUBRgOQthPAyOx2ZxIKQP36Poio7uAjhiFQLVE1FJwbxw5yFHiPPYvRMJuQp4dqikzOvEXyaA/bYdyJchoTIiJ/nM865hChEbkcz2Sl0rQd8+RadEi0zbpeHLTgeD0WmIMge99cW++XRBmSTWaQpkajthfDLIsvo8D4GHiGKkgWDow+YhkSykntVRPAYA798PLDvFZeq88xnIpfFmGEIJC+GWdy3PveAUhU97g2L65v8p1yLmeh6PKtceBxVKdCR9/2mir/+/I6PTo7Sa7zGa7zGazyP309qPz0Yx7CAqETXIh5aiaU9B8Rnf4rvw5ocxHkfw6bqlM4K2qour3iGdc8MOIb5f/LDqwqOExHRk4SbHYnTQ3VW+05JVCnL6d0AVvOi+pZQDo85OQ/5jUDuSfkrzyMI+CPlKk+Zkoa7eikkqk4HbyxYi0RZWESiyvns0r58UFY1P6EahL8Yuycl4V1LnEBOn5Hcj/zc8xNfUnJ18jg9ZEMZhWaOau6QziDWdBmUZUIBAaw7rm8brpcLbrcDb5cdAHB7PKh05W0GPnDHrgWiQDdFs4H70VCr4j/88jHx65mf1ghozjK8M2B2wLtNqWqRBdEAfMJmRAgzqqK4VMEvvT1dZpnthJSOZaIC8FjrCa6yF8XhtqRSPYQdEmYVUEYgJHBPx9BsrOz8nIuezy3+nXClubzjd304bo8G32vA3M4nsr7Ln5fx05eUhEgF0RwA1+Hp87JLMW+JOKlU8KLHkIJAzfX1TAYwcf5rAxB8e79ndyI3pFrKU/J8Fs/IQkIeW6mKS1FAFDbILypVYC7TkBXueK8FdzM8xoBGUJzzce4Y5l5ZRXBvPeodAhjC2FJwmEVnGJPLkHuIuOK6sTDSQiGLPihMHOyUhBLiOchTCRnvWG4Y6RGT96mwov/R+lOwrWGayX/TFFM1xEKiS0CPp0Ihk9j3qgo+jj73/lT9O+ZFifOOooYhO9NUoeo20NxwN3arWnN8PBpEwS5FnjuA1jseSu8RxJxdpLAz3kcIdziuteChNKrMZDTXzKP31aU5jT54LNn9aMG74s0Tz6NKhtKmGopvq3Ck8V1tDPzV588oRXH/aM/wutd4jdd4jdcA8Ef4kGSCAcIhYFGti0Dg6JSOzOpjCUyzfxPNnAOiDJp6JjFgcEsMN5OJVe3j35JjAWT3gUF4HOUp4OG3nD1LzonR4nYkIdenOk8GGEX5AHKEZ0Vry+RQGHBUFfo0RMQl+SD7DQn671MUmRX09aOVIXn+O5KhdOwGInCTJcNaQ4PfwOQC7uG+vQKy9bkroKcDdcBRNkIyBOtaZ/AXTaOVlCQ87JTQzVMCJqwhgxKPayEO1DAvG07+h6hALYwvLwVb2bDvO75+3PD1fmNQ7z7lar37NLIcZrgWSrIOMZopaoFCcD9apq5UtqpldrzOEXs6uZvIrBQzrpXp5BziUAConHV0o5pRXKP0KgAw57qGdG3Cg3pcp7dSsKtir4q//XIDHJOs7jF3NpL/se4WJk7nxMLXJRB5+l1eCDdbXiDfrT8GrT0MTfNymwMSEExVobJeztdMKuIaC03m8pazTIDdv1/vGbDHaQ04b/5yTkB8zgHf40ut6PTdp4wCQF6bmRFhDJummT48ksIl1Z1dAYm10OFQC7duEVz2DbfWZrd2m3LQSfon5C5JzRbXtkh0/5SdC8OCq8KZ/JTCTt8WE2FzT4nOqFCM4NHDSycmt5+W7ZzSuLbDeI59DLQ5XfJ031dVXLYCFyc5PpI1CzJ/JhSZwsQWcSpMrM4QwPs5p30lSZjwXSiToxKqifBQLovC0EO4X22g4tdHuMd7QM3oz8KDkcrC0IDjIgVvteLL0QAlzKpFMYsdxud7ZfaMzo+K0+8dwTtTmdC8TGZFUj0LE1b3vlUuS5Dz+BgjZIIVl1pxe7QQX3klJK/xGq/xGt+O35+QSCr1CPZasJUyOxit2zSkooM0JSQD0wELlZ4Z08yHAv+SkBwgHgKqkAzUPQ0S1+auIRuZlU6R9WBcH4Jp+DXjlOwkxNPm/LDOwyFBMboPQod2AQnZ0OBWWBBoz9W2fAgmvCYCjPNxZ4A5Y1dGkhEU+Xzwr0lHBHb8bHprnM4x5mYGwFUnPCsr3JxPfkc3Q7cMzlb1WGvCugB3Bmmz+xXHmQGw2fJOOU01zvCc6a2CU6By7rI4T0SRylAyE9HmHX/+2vDnL19YpVXB4xj4q09XrhUTeFW0HnKpys4a8viG4bg/cN1o3NZ9BGdjybnO4D5EEEZn8pUY+LwGDEQyIfOQQV28EAkH7PxMh/P6n5KE/LzWDVKAR+9oJvjxciFePzwW+F7Mz8/gcK2dmOO5Lk5BI3ByVl83wkxM8t+Zk5/W2MrN/BlWFZ2yJzTWt0kJ1jF5JlXmJGSfuhHzPOI9m2q8jj/owVs5z31Cps7JVd44vM/wPOZi5cvSE0OEUt0lZaHjxSmbnV/au4d87EbYpgC7bGits7JeK0QVRxQ40ugv13f6iQzeIIRDieNaN6qojeW7dHRjR2kK8+bx8+zOfDs5nVPei5kxLKkOzH0iX7uHKebXg5X6T3vlZ5nj877hrgNf7n3O79HGlBY+jwkPPa2ZMRzQBfPirbFU0DTgYBBgLwUowNE4X5eA/SISlenL46CXS8oCd8enreJr77GXyExkIY577+iRCJbwohJgKqRx6zzfQwkjxJwHHsQqmORNlc8HIJMWCT8hpwFpTMenywZ0dssy8ZyKeU+b9Wu8xmu8xmvk+P0cEkkisc4K+tFZTTx7W8yHgeo37wcrwQk7wfKcyIAvK2mJ144wjUFTPMCgK2gynzEIEjeeD5ZMKtztqVuRAdRZDph5Eyv02fk4oooPp4eGjQHRgEVAgkgeD7JMRmYAlSd9+msofn1bNPOokArOCQwfgqMb3FNdi68/iQjF+4HZy8jkQdM0cYWkIoKj8YGfJnv5fgGmO3GPxPLbeC8DIT9XfGNMUIjQw4LB2Kp4ZwDLvItY/yjuo7vhIoq9FHwdHSNlTR2sWAomf8adXAwVQamsWFcItoDP1E3oK+HA0UdUm3nxJeSEU9VpzldMaIFOonAGTG+1LP4GguMAxTDKhloEYhAGZ9lkADCJ5A6P45U12QAMgn/4eEy38G0nFEVEUDa+qDcL9Z/T2jpH7n4SDUAEdgIkb8lmW2utle8urBASlYjBFCRAXM8n2Mn5/fKsQJdDRWhoGve46QraE2K5FcWtkyz9LOWLp2TnOeCOL5XnwzjFjusD8jNOidDsEs5sJtfl8hEpValSFQR6VcG+VzweDffeceDk4C0rkC1FSC4PkrdLQOxEMJzBqRpfe7QxYU9euNf4cByxDuqmU+whT/n0x/M/TnMFkQkVY5eDydGf9g1fj46PRhgWVCDGvTZHKTI7LT07VCLfVfjJEVOYDRYvkkckWEUOo+JX/vxSmHAfQh+WwwwVJNUXp3BIDxVBL9zrdlE8vM+5TnW9FBERLI6HCs15KVRA+eSLspA0C1Z4HiLcW3q3eY/mqU5e2bx/MYn/ADtcQ5jwAcD7dcfX1vA4Ov7x5/eZFJnMRfsar/Ear/Eap/G7E5LthJnOoHQMmtVlQFKE1b26pdxqBtw2A7/sHIjwQUjhKSYi4sAWeFycAiMa0hmDPpfJ4ciHHjHNhC5ZBCWTiChPYQ0EQKk0uTsacdulRDISRdtHPOzaoKngfLZEwF83nfOgOHEzzs+fb55FaSy3yucrnsiHoaS3X8pXnpOeU6yVErip6LWCZolukaBE9T7lRSWInFVlBrIiMrtNORICBmBVsePzh6VKUwZlp8e9INR64pgdi2DsJx8Xc7S+CMMiwAEqWImTN2HGrs37paKAQXEbA4++IDbqJP1XD7nfeWyZGhLSJ4pJ+lWRqYxEgruEp8uq8F7DkbtFYiwInH0pEHG0UDZzp+S0SGDOEapGshLLUzz8tCAUgtvjCG4Erzv9ZWRdY10cqiT8WszROVidgVQmpb66MinB/LQWT1lJ3ov8XAneRNw/diK4n8cMgLEW5PyVP933Go7ps0ggAutG+JvnEZ8/7/Rn5l3543PicX7d+d/+3V+fPiD3jewC5u+LhFdIFCB6ZhYDUxmrjYEhp66qRICuhDmW6Ij4SWgAwJxDKTTN3BQ0Woype6sF2yb486NREQ44iRWcTug3MrBcJ8nfOMLs6FpZOGpBBv98qbi7hzqdTo5Sia5OVQUKAHc60Mc9Pk6HkImrmS8OF6JYkPs6JDyh2I2s0NkxcDBRyfsOwq9sAa2bhSIEGb6WeR/1bqibzq6bxfUcZtg3xdGicHVKvD1gcHmuZ8VCYHWWt4C6ZsK6VV7PqsvDZibdHupmRvgoQN5IGzRKLZFcUaQC+OnR8Rqv8Rqv8RrP4/eT2kXmA+LoxOy+7XVWhK5bnYkKpXwpX2pm09xQwyfAAtqgIJY+K8MqrEAnBGfh9iUw7gE5ygd0RGXuJIsKGFCne3EG6xmUA3wwpUqKKmCDEsaaFeokvMZ/bBiaKmqt6DawpfLVCcuyYoWMBPFtrBaKS8/VZCC4CZlURSdA4gTzNHkqC+o1A9IMTuJnw5dzcsLDVIj77i20puKBbA6QHbNCeDhNxBJmlwFczlvyd2ZuJvKd0lOSutkJwZyrdqqFq2BWZN0jOQhi7VYVj2PM6/q2Fzy64YhKcxUmn19a41p0EujhmEZtOS0uDgTMMLsuFtyXTOzgwTGooboED/UcEo/vrUcFvePT5fk2cmB2CM/qUJprYfVL5u/cEVh/O1VwBRiEEZXK4DDhJmdjS5wCKmTi6CuYy+9yl0zJ8P2Qp/+mkAHymD19JEC/od9KSs7fZplYcsGnPGqNBNzhEfxh/v8sizvTtfyahPWdkvZz4jXf4c8/BzCLHjMBjL/3YajZuYv7MINTQUAd8yDOOZKk1Cw7i/wKnicJ40CtuZ45272NKXFbsKRy6dM0ZvKSBqLHMKAo5bB78DMUiBI7Tie0/i2Yx7LXEkGxQUWhAlxqwV9cd/zHLzfcu2EPGG0Pwv5Uy5qEqphXCUK8rD0lfykQbIX7pvVIVgWzWOFYSclUqJLFKco9uCifASnQcYag5h52lIFjjPl5IWXHAhgEvfD+NXMczUNi2udimdeWzpBMkLPr6s/zl9BAHsLyCuqxd5VIQPZQ4rI4DivkB/1yf8DM8b5v6GPgo/dZLGrfCJ28xmu8xmu8xh/BIYn/jthsrxu1Rm5Hx14LXDF5JGYOb2NWoTKQzgpvRtqEB4QhFjU/o8K8vlcieYDRzErdJ1Gdn5sP7JRytfnMzgeOCI2/Wuvz+DIQu2xUjinmGFExVJEVFIjAheR2CKYaUT7Mv8Wyn3kl8u255A+ffs+qYomgYQagGXnluUSGMyL4dVu8GjPq10xPgZgWLTLnILkFGZhLwqCymvtNAiXnv5zi1TKDPg/1JgRHhXCLEpXL4RbyyXxvIkTme4BT0IJJxtDo2gCYeO022I1I4vXDbOHsPXkOVGLbAyKS1e5p/uZASR3TCLwzFKOS2kqqMqAaTlnWLbonPYLvfaepoQVm/Jzs5qmUOL9xSoYRP3uCwnh0hU6KWkV0ckLyPS6ARRcvr8X6mFNgn5frPMffjlh37ksCFrEWPJLDXA95jeaHn9eHO3zk4nDCgSKo3VSnS7hE98Gd3c4M0xYJX9YBy+mWfvq21XFaCXdesW9m4ZuTdne0Y1BsY4sUPO4zcaD1wfsv5+z0/angVyMBzC5c+lrkvBShcpRGR5U+GxQ1eLQ2q+xpEptch26OxxbvKTILHaKA2DcJF/CU6A6wOGRzH6CHyHDHbQxABbsAu9JLZRuOBseA4GMYfm0DroQ3Ligtptz2OTGsIYn+JK8eWQh5IZzPTIzco5uCUMx62HSud2Cql7nTm+fonnkQDh+Qwi5lLYomFHmwuDh7JHVV0wAV08xwmCPNE0sUTPK59MTBimu79jluRBNeCCZoznySMscxR6qK+xhRVON+dbjhz/cHEzDzufe+xmu8xmu8xvP4/RyS+K/Ap4FXGwwMH4OdkNx+zZ0qPREZzXjGuFnXvUC3qKBngB/JSgMIgzhXBrMCHZF6UZKDJxT8iSweD9Z4cIiwwpmJioOJU/EVBF5EAtbDAKANelUkrjxtsC3M/CDxcJOck1OeseJdiCo2XYHX03P8NLclgphzfJmFPEIiMvjO6SBUrE1+Br9Q64JgnYNkS9lUsLoJCX726aDOnJIZ6+XwVXUHED4rgpRSHZGgmFPj/ymwlHh9Rupz/vie1aFhpwpFUQIStynll1I+esT66fAZLJWQZM3jffQxp4TBFWYZNqcr5VVrwtXymsV5NLeQDaU07x4KS4eF+s5pfpjo8HMogLDw9/m7c9UW7mjDp8zqvOSRjEkcaPIr/HxssdBWYJ4cjN9IO3ISfuN3IlzXo6eAwRIfODdLzknxb2er8xbgt8QEpyrdXCtC3gIAbMJ1exZ8OFetvw3hsqNy/rmW9PTA9CLiGjh/yCljy7VtVJSiWb0sIrZjdmb89J0UefAoEvB/JkmWJ0QrIYkiAg/jSxuOAZ+cHnGuNbOA3CHgcUYI5XspVG4DTkH/d2nWKnacLumYmwKmR82A49fegSLQ8D/5cnRco+DSHLiHMqD4EiKBrL3q7MORa5Adhm/3KXYUmYAa3JmESUARSyU364e3KwsKAI5O9btaqMFNuBMFANwpIJKdqRZ8G5EQM7E4Nt4MTAwBNA/vk03hLWSeRU7X8zRvczHlwo4f6NoHF8dwbehujmYjeJQy13cpisNGmDnKfK7MeX2N13iN13iNOX53QsKEwfF40PDpiM6F1nTnpZb/0QbaWA/JGa1HtdQ98LsDUaFloqDKh01NEX3H6aEcHxfPhgzeprPzqcqf3Q8aoUU3IR5WtSjhA0hp0nAXLkrSegQWl62Q6OnEwdMIbEAKlmO04LvgKY8hz2f+SNIP43Q+vxHoncNHB6usuwoew2fgkXNo4gzc3WdFOaWNE34FCf5BLRA19GazYzR8fbnoiYeSz2cB5JsznN4ns3IfCYIb0gzvfBKEnjlg/nTt5tLw9Z0iErLD8d0iU0DhutUnCMT7VtExMPI7IoDjewj7ap3BDJ3jecxmPqumuWwkkoQhPB4XfmZWODct06BuE+ARZoWW842Av3gGoMs809xgTl5PNzspO7G6XcN7I2NnBlqKmkFfBoixLsUAV3+at6KA2boe+WeKCbCEcI4ieb4CcqFsLMWpmVSfEq7vUppv1v1TSBcvTgEHAWZHLrsLuhUqjsU8zw5dJqqnf05jvvzsWINlkqYj0Wv2ZLI4P+Cb43aEJO1wbFXZCcrDzvsh16etBBBOeen8XcLypseFCMQXab44JXbfakHLDD/Oh+cdfK6NnbADjpb3RgS+Pjk83+wyv5F/ngsWCkBUyWdxxzEcbQiOMfCrn7hJsu4dIIjtAHr3qZ619gH+g/um4Wl1CPDROi5KOWMRzPW0l4K9Fjxahztwz4QenCNzdlD2UvBWCgCgHR0ugloFIorjCHGKSGwS6lhUuR9klSESlmFZWPL5OsKu0h4Vp303zyzWq65/M2nVpwIDwE5YUTrYp+/LIzpMs3tsDnUl0e01XuM1XuM1nsbvh2yRdIBSwm07qpQCTNO+7xzEz0G3ZEUJk2yb1dn8fI+q3FZIck/Yzfm5XJU4ac3IPAOVKPknNhvCSuW+CQZkQi56mi8CkAJcquJaC+yxoGCqTFTuR2OSVL9xaEdkJFgJwvmBBqzkiUmXI6v4lKjEfDCf0hZ+dsAc8s9hMsn1rPglPjoSAFt+KhmO5nSbkXTrYFcKoHLTnFM4pIS8KywC3BK/k1lJzvMUMMg+8xscNAnM5GQpEMU52XooZ3BJQ8lTsHlKPJMYCnE8wCRRY+5rKfQiGR2fLxvufbBCKoJbG9DKY9xUUXdFvx8zuRHwkg3P7gqTxOQTZbLkIiGbrOxCjQGDTpNFCGGF8Az2QbJ+LIlMMHLSRnTbvg2sEQnIVkIhKAKpMQxFl6lfwkpqJEhjLHaIAPR6KJgJdiYyml1GBDl5HdK8piO5AKeRVegMiOdvv4mNv4nf52syYZ2nG8eU3Yy8VwCZ8+1Y/jr5VXOu/PTDSNDaKUjNY/02SVrvlXmwAjxJXs8PlYT8cIJasxAyYKR7Yvqckj6wug92JnPfcAdk49r5OjoFKCw8SraComBBJ4xe3U8dOQNGH0+JayY8swP8baY412FyQ9InykOlbxVHKDLwNCXknaSQCE7JyDfXXLCUcp+qMbG/3W1Ahzwp1QlCsj3WdosuelGdHW/me4b7MAhk3p8C3pfbVtA64WdFeF+PbhMWlWR1SAoxAMlHFJV13Of14VyX0MXLAzCJ8O5xv8X7E8JWlQWtljLV2bnJbp/zHn3bC7at4N5fpPbXeI3XeI1vxx8i++tweOFDTBAkZBHcG/G0H/FAzGf9OUgoM4pb5PjvCLOynIgtnr5nlSkRBnHZ+o+3cOT3RZE9q1qPNMzyBU3Zdl3EdmFAfr1udK3ujvvRsdWTsZXPfIoP74GoMqe86fM55B8SVcAM7p7IwziFOhFosXvkE7IhIjChxOQwh6VqkdsKRGZw/DyyQr3Viu4LZy4nL41z0JbKOu5Gl3VgknMnbCUTyAx8I7hcvI0B+FKa4pqh50QmqxkwnKv2039DCJ1LSJVGQtTM8VYrigi6DRxtYNSCqoJSKhSOtw04oghqw3G9FHwVmSReiYxjtEHcd421ovQoETBoPNqYcK30lMmJGu4owsrpmmf+SdlRx1B+v6pATvdKKesan9dJ6zbx+zklJLfLrPI6wM5IBF2a10HWXM+1mtlo3AMpbQoEWT3WXyaVqoLe132Yfhq57nO5+unfv1W0zyQ774fE8bOmwGR1U5mduQwUn+4Ez07dKejPEd85UYqx/tmV4/UYw57flBWBiDKZxAthi+X7bzF3ePNJuM6qexYfsuukZa1pBWW0KZ3LuXsXdnAOWwWQQyh3e28G11U40ZhzF1nJyGmbkPBsyX2Cp5Iv8DX5cRp9OCA2VdK2WnCpBR8P+pGYODBWB/Cc862A/vSZ+bmpACYC0dP3CiG0JfbRNga2UubciVDBLKGUACJ5o3DEfRhGnMeI/XArir1uOFrH4WMmBLmnM+kZ2LXgMcIXxPxEkOfhWZDds5F13pun+lus2dnRFoTaI8kj2ZlWhJKjWPBXlIIXcHaAzdHVsIvifd9gAoz2IrW/xmu8xmt8O353QvLoHXDCHDLYZhCZFU+sZOT8lANfN8m9Z0wGcEpO+MYMZuK360E8A1l++QrknwP6qqzSbbWQ44KlgJRt9RKf404IjgV0JLkxBp/cB/IFAtNvxuoefBrgzUrxOXg9lXsTkpKQptlNifd4BC2euPrTxAmAv3zbcesD/RhTrcidXYlV6uSEUlo3EseofuZc2zglWHIizscfigWDsahA1qrYd4X7gscJBOnnlqfsoGRtdRqEndcHotKc55r/ExFWKE8IEK6f9RA3X94DDGjG5G98OXqIHLRFSI+OmmCRyUePDkOlFPXbG+EhjzFYsXVBLTIrubPrEetwU66lER4pWghNWes+ApaYNycNhp+Ra16EsrpOA75vA/qlAhdJqTvUn7lDwzyqtvGNyoquS6iw5bU43RTpRfNkzhk/zw4nBCgV0y3cgefk8ZuAN18zf3aWfv5m5Pemc/teCw5fcKB0vz4fXyYm2Wk73w/n+oXqIl0XyOoqnF88I2t+IXkeJzPDjKsj2XYwKJbsSJgH7Cbuy0yKTpwsFPJxNPaQHRIk7WwDB1ldBB2GfasopeDRHmgWSS4Q0r2YZP3sTj7tFacEkdUBBOws5Yw5l+yyUTxgU8HtaLNrkcTv0W2ZV8Z9M85Q22/G2Si1hgfHiI5Hymk3W3ttKgaqA9ASAMt1/G+qeIwQNHHHVRX3bvOcfQz0MVABSFFspeK6b/jyuJOzZiyuXGvhvatLBGNTwada8HPrK1k/JVgigvcwiuxmYQhJiWIRYNeCS1Xces8tDAOGEg+/t30DzPFz7/E8YMfXPD19Ds7ti0LyGq/xGq/x3fjdCcnRB4pTHtVOkIIjuwUlq4+spC3FmBW30PeCpAyLurQWgQWfxC1w1RC26c8jq4OW1dH8+cwIcAlYExT4eDQeR9UgR5MHUjedWvoQQsD4nFrJlA9+j8qCzGRsMwJ+MczW+07VQrhP3wgGpXzNuQJHNRfAzWa1dSYq+V1xhvc28PVBt+K6KdpjsPqo7J44kgzNQGhgkc43regjXi8C3QpsUNc/CekAr18GRMDJNDHObRZM4x9J2BaLCrs5BFTBSZJ6etIM8wXPklNc4Lk2VtcgK6/ngBhGzL8L0JzrKvHuwwxHrMXkm/QQWujRratFsW8FuyjMqPxViuKigAzC4cSBrVQ8epu8Ah8OK4IOB3pC95bnzozRTwH/tpUZ8JhHanWKhVIgYQTkYy7hU1LPz+drzqaEZg7XE18lkx4H5Y3nB0UwHwHkt+Z2TxXhTF5mkiwh1b14N+drFYviKUFZ4fpiHJkv09JzqiLCxEGw3o/njwOAmShlxT6hihLrKwUncqz9gFkOxRRkHevp+0Wimh73IPcfdgWRMMhYrOxQxbo8Jf+TlxNfaXCoY0qYH93YUZCAMAkg8d5/9OOf8F/+0/8K47jjX/+rf4n/8OULzGhIKkqy++jrsxXs7ib8aHh2oZ0dPmc6wuvuM4DO2s+RMNiq6Gn2mtdNMCXaz7lbCfjr5K2drstWSVq3XMNxT4oKnwGZYDq7CBrX5q0UfM0ExBz3PiaUMiWS87jM6YieXcofrjvetw0fx4HW2KF43zfUwufELc5xr8rkFA4vAu3f8qe40swpt1wjaTI4zAxH66i1YBTDbdCTxaPoJirobrhuG/7i7YI/f71xxUsUTc5dexX0Pr4zkH2N13iN13iNP8KHpFDGkm1wzOASYAV82wscQI8oqWwK6T6dvx3JpSBEpdaC3gd6s8mr6Ei4C79z1janvKNgyHpAFBf0UMcpItM7Yoys9LJqefeObZat+bk12vEMnlIaN4KxIounEgGuVp3SuwYPSU8GLN1HJAYrQDxXNNmhiH+MBR1JDDLsKcQBIHMOvh6DpEyEBO0+P3IVgSOwH84OyVvdcfSGZgMjCTv5fyzzwxGGfqvbsYICIALb9UsAQd7F6UcRyPaphnOSu8yKsuU1XUGwf3NM6/v5fVMVDCfDs2EYLkDVRcR3EtVLvNfdGYwXKhgVZSLihcpPJYLbrxHwQNhterts2JTk38MHylsF7oZLKXB3dCT3aMGQ8jwdAhcm0E+ypnFVV1wskwvSTwmHyILCZXIysK5tVshT0hTA9HFBBv+6kpBM7r8dkw+UF2auB8EYkURnohEZxW/BKn/z70jRA8z5cVvJT67VojJlmp8+5xTzzyQoji05XKcc4LvvTgfyp8M9LUORgF/FPtHb4kK5Y3r9PCVKs0Oh3yjErcRkdAbZB2jwuSllZpOXBIBdOFU0N/z9z3/Gr//DLyjbjmEdUMIIs8iQc+Ye5PgoWBiAS1E087iv88RmHhprguuvDaMce1zoTRRaqMC1Omdrrg1LaW0rTF7yBbVqGAVyTmpR3Mci+Y/YM7eqUJe5Mfkw1Eru2oiiU6pi3S2UDEXD+4Tzau4ofhItAPC2FVyqQFHx8/1AUWViZLH2Eft1EN3nveV5j9rTGhNnge0QTA+jWSzTlFaPuY/rnGpsZo5/99MX3B7H3Ke8xD3OPIxzpq/2yGu8xmu8xm+N3+/UrkoSKRbPw6PMlnwBAbDtBfBV4Z1xKxCbd7wnArrhRhjLjNq+KauCD7F0244cIV6aFS9M84cqJNgDfEDMaqufOCtReazT7IyBb4+kQYPcKirzoT59D6KTMCL4HcODWJ3HnpVpHmOp7ABlxXga0WVF0hdXIsm+6QsBoUyvAGHiBxQomg2qRUnESREsvV02JiBwBjpjTI4MEKo2g4HYDPBmZTSr0GvyewRbW3l+uKaa1zwNFWxC8qkrH8orfpOJ4xZfSdc0U8x8J4P7mLx1fTFhgmUr2GqhglAkjGJBdlWBik5SfKRa7NQ4/RfOMB5KviKqpR3aif0eD4M3wO4D123DpVbcR4d1R2sdtejsxqx8k8ninDlfAgcpztSjIyiISrMoej9di7je67pw9jREB54w8jJPYyV245zQni9WXjNE50mm+k+eQ0J13BepPaV053me78lvcgn44lLla88pdopTFAVkYMKHnhfASgaya8bChXJviTnxb74/zy0DZzi+6y5BcFJQ4vdtu87EzULW27Mpq+RJrKQ5PiuhisAskkzZ6thfuoOdgryMYcw5Bgsxxxi4qAL9wEfrTI7Ae2rKEIMQoNzLhlMSuwffSIsGBHNdj2/zM3fu01uh/WkLAQUPOd4spgCp7pZryZ/P+ZS7zk4uxuxKmRnBWApctMS+JOxQepDkT1u6RkL4VitufUwlvmHcS7UweevhNSTxvUd0HMhxMtyPPp9FLIbQ1ypVwOrsip94HMK1iugkiWN2MUQwDVstri/Xm0zpdRuOL8fjaT2l91Ke7xbt3W7frMHXeI3XeI3XAPAHJCRFBEfAqByLNC5RNepHSB+Go+2Te27uy0JCaFa+BKtiClmV+0weHDTVygelmwTGV3CcYCHufDDeO6tkElU4NyZS0xpDMpGIyrudcOiqqBGoDfOQzZRInn57+EwmWGVvUz5snS8mzzbhH99XzuT8BQF3mMmKLPUsG+wGZJCmpaAfHc3Dz2Df0UZHdw+XaFYnXR3NbHa33PlAVT2RoQHMiXKsQGE4xhjYqs6Oztm4zgCILaPJ1g1eFFJWMpIV85VvruRDTg/37wOrqPiPlShZRvhFThwTiUBHUdxx7x0G4FOtuBTFCFhhQlDuY1AStCjEHF0Mt+NAC5flPbpf4o6P45gGjzlfLQzRipKnY/Jc8S+qq2odwdasrJ/uBcIaZUnKftuNyIAYa9Ilk5H8qIznZ3aSwfL6rkwgyaeJYxmLE5Dmfwnjc6yfnZOlXKvfHuYMWnOOFEAS+/NYonpfVEJh6rcznPx8FcFWy1Q089O8nd/qcdyriUc55dFj3kGzwu9lMOI9yj3JesLoHOW01h2+Kt8xpqKZO7TygoxOuGk6e9tYyVwbAxWKS1XUWvFeKQKxhX9FmoEqeG9bzJdFwCyyPC32WvC+FdzaIKwJq7MxF8b5usKwVW5SrpQRb4NOMRYZybfXc0nnPl8h7vvcV9+2imst+PV+4Mj7IYoqVUliH85EqMPpSyKcx00Vuwg+5t6ACWm7FA3hjVW06GOgap1CJ+a8hyXOfRg1ms9d5pZFs/OiOg2Z/8E0j0XRuY8lV62A0NBhLEiYk1tXCp9zEl35HiphdefHtmH4rrv4Gq/xGq/xGr8/Ibn3AUTAAqcPRla+tnBtHyO8Lr6DeXwP9UmYgKiwEnjawFl1ZXBzqRX3o1MdqzKgGSBPg1h6BQbx2t0cW/EZcDtYRdQiOFqPyjIf/KwKWsgIy0yI4PFwjCfy2YyMsHsN5ZyE58g8nz2SkoQQACTCpwwxInA969pnFXZCVDJZO1W/a2HFEMqH4y41SJZMStwdtRR8fTzQx+A5a0roDj6YZ9DsYeYls/KceePIc04sfZyHO9WgauW1792milKNYCf9TQCg9xEkeV/KPRHNzKQk1tKEZiS84kTSzYDBJDH/rLiWQqUzEcpzHoPBz+6sgO+i2GthMuJBXnaBVH5mdyMEKwwKZV4LnzCrWgrXiBF+YcpEebiHQzMAFGB63fxGpyOuJ7Iijef8guuEa7iHDOxTEoFnDsgMuv27+OopkZQIGmeikOvPZoGY1+yUtLBYwHO33/jcTLSfEoPnv8yXeXRXeD6y+FhgQp3nEg3Bp/OTmJxalTK8GbAKP2vyJ+IDqujM4c/HUypgjV9wNhf9bgi7mKUUtIOV/9GNhY2yzuvpJLF8RMj3oKx2UZldxbxvzAmdUmEi9rbtcFCa17KLnFwQN2BQ+aLHelclRIqdH87pl6OzuyYs6JRIlEdfa1BEJo9PhNDFPHwVYJMCqSnLi7k/pXKgJWQrbsMRHRl2twS6MaF+u1T0e4ObY9ujQwKHdO7TgiWIkWqHDky47FVCjh3BDxMG+gXA4Q4oz/cR3597ovna07jeuSbIrZIpdf0kQf0b1zJ5KlkcyfWb13A4PVFSFESrTol5ATs0TJ4AEec+mR3lVz7yGq/xGq/x3fj9PiQR9KKwupoxwWUrECW+vUdF8okEC+AMtaCZVEAygFP1XMJYjg/1urELMGBUsYkqVVGZwamEp0kafPFhKvQzCfL7MEM3n07sWgAgf0/X71IYuCQES4QF3QXMOVVg40FaM4rIU4xX7qVgRBSVD2LPz4oHqPHD5/Ghc3JEBB5Sonl8qkqCvyMehoq9BgE7qr9MUCi5OcUABqBqc37zQX4ms7uvAFBcArrGijGiAzUNAMVxHFlR9XnSfRi2wInnPBjCdf1pAUWgGJCTSX6VvHanl65lw0A5KsiuPt2Ql5QzAxOo4jYGJBIjCelgBv2Ch0ciF7icIitAg2Zyy/O5hIxxO51DKSTMwtg5yeTEqdAQCcqzlGomIUz8zuFQzHlGQNGtsZSb/XYufK2PJKyf5+lczvacj/OEyjd/fvPr+THGruD5+s4//TcCuvzySITmb+e/EcEcP2OA3c3Vc/T4eJmQmREV9iKLg3VOgtKk0iIAHcJFmip12cXKbmCa9Xnc3xN6Ob97JTy1JowueE8isV9gFQ1CyEGDyL1teV8D7Yhuh5IjtKng7cKSeeuGYYZf7nfsqmhm7FrGGukjzBadyoAAv2ePe8uFe5eAalLZFfHwvhBJyeYsEhG+OLrhcQyUkhAiJp2pCsbPYEfVgAkXPa+tEcUHFcLIzBy3Pni/Yfk03VvHD5edCbqya/zjvuHL7cBtDBgAF8cYgl/bgEcxalfFT9YAsHPdOgGXmVz3KFZ1y0TNVnKN4JKFAVB2cAccSP+fOJlLLTj6WN5XwNxDeFs5u7EAVfFqAaIY8rZX9FAftJgLs/W8yGU1zKbC2G/eZK/xGq/xGv+Zj9/PIamFijSIR1oEin0YYPGwx0keErOouoIZe5abnEXcU1SQrfJ0Qb47lZIyMF1kUQYHhIQ8u+TClxrW5VJDcYtHM8nlWYXHCgwZCPE87mPEg0bWQca5nTkEgkyq+JnNDKVwrkZLN9/spixoE6vTfpokHsOlbmgRNDPA0qj+eSRwjttx/H/Ze7ctSXIcSVAAUtXcI7IuPTOv86HzBfOhc/ZptmsqMyPczVRJYh8EAKkWUbt9TubTtrE7KyLczVSpvCghgEDgB5+heo7LebSLMVsKE7+pauRGfyTR/+S0NP+/sGVHGLkSYwRoFaei8LuqQcmaXnVRgXTgkqKvrhQEgiqn7CdF5tomxeu5TgJtd2NkyHtBA8SAMVAA0kMM+Gwdvx9n5pYwv4Cc9TYGqhesoewnf2dgvswAOesxNaQmsj/h/TQHJAry/puxzsaMANLQtgDoQiMHuX75QQHViY7GyBo0xB9+GBbEt/7fas8kxTDX1U+uE2t6pdcLshBg75ZGLrDIeSMU3KanfD7J82dnknwoMNmYwDy+qTqjcPHcUsTzOubDJoxZx0X8LsXHwwgMj0hY1xnRvazpp5bvqAA0w9d0N4w+QVCME+fQAbZ7y8+Uj41oxcDtfXOZY076XgusD3wcJ9+dg5EYBQBl0VJRg1S90DiD5tb6wPDEfEE4N0gvjX4DmHk3wkTzHcCnR8kC9JLmhPzcMBrVNymMrFjk1Am2rST1sippZr/sG04blNo1w75XPB4Ne1W8b5WgwrxIowN4A9fcZ++MhkTeVeTRgI6ts7uS1lYdrI2lwCbXwm0vmWgeNF8RFyrx9+yIyfX912zM5bOAmczfGxQwiIhLjyK6KnjfdnyXxlpLyzIqOmmOzZHOcc66T6/2aq/2aq92bX8YkNRSST9QBWqhslT3gmcbPWR9caNeXser83ThO4eDOH6nCoiShrNSSk6vLh7JsKutLGYooi7XiTw4xXM7DpeXnNWIp4c/IjO2GFepnrU+gE0DOwyBsOvic8fZk4Jy9oEv+4YCwelh/llcMAxp93bDMgkfQKpiZd/GyETq4YbE2XseglULPh4HYKH9T6NWN6W3b8wEYSzjFs8fP1sTMC9FKy3GS9JDnRQguBHRaXSttSHSgHYaRYxvP0eCHgnaGBb295IgncvHDUC3bVwJzcGDj92mM0+A0qj8eRseATOCBgx6eT3/mYbeGNn3rSi+P2ZtE3EgGcnPKpqGe/W5VAAnFnofJmWHfw8rFl7rQFh74qm/IwzEKkxSt2Wx++LLmgpPzVaQmUh5/ui6IRkJWY3YuR5Zy0c9DwbGPdQj4hDJvBCn53hEwiz3cxiZCRgh9Ggb6TEiDkx8z4Y8cxuDQHq1xiOBI360jKs/yXw2EY/SshW9Atqis785Wpe16tXfz+lCN7gCGqYil3rCMwY8H+PiU+AYFuauRfHD98oCnl2imjnQW9yfqnrlRlnp5u+X0S2jIqFAhY6rWIivkbVOUA0d33gXbgVvmIZ7H1Q/DOAV72JRV8oC8Pd9x2/HCUuaJfPyiipuHhXaRCGVe+g4Gr7sFWcf+Dzv+U47z07aY+F3hq+drRZ0AZoA1fizWpgcDlDF8L0WNH/nDcDpkr5WPP9lGPf+eTbOkco8W7olBdQMU3JaoyaSKzeaTeEPHYicpJtXnQeAf3zeuf99ATaP1sd5ERXudVlvuq7jV3u1V3u1VwPwJwCSszV6k5QeuMe9MU9CeRhqesanwQvMpOyVBsKD07nNHv0Y3dLoUQD7pqTMaBTq43XbCMPHrzIALa6QIzMJFAjnKi9YisK6J0XbrJxgfpirTI92JDGb20LmRmF4ttP+QUQcLA2AMKaCZhAHJECDViIEpAQTDYP1JTxxOyhIBfTUhwG6VaXkbRtowyMgAI7O+sb7zpyH8Np7OCFB0gpEgAA8uM5NGmrq4GZJOuWX+JjpJUYaVGaRRIxp4Dm1KiTHyJ23DI1Vr2I+xXERd0rjLwxacU8zJWoNVPqZVZNrYc2DAUDN0GwwkVYZVQtjahgpQSakydSiGIXGVVEmtUbUA3AArZLrDUaufvfk6Yh2mRmO1gCjMVqIwrL+ziaSheTMDG1db33kGFu3pAXhJ+Mf47tijRy2BTguQ3kBI2vUI0DYD1/zHKJI9lWR6Wx4uuQtIkbAAkyms8GG59GY7zgfk7yGOwOoqCQe8bPrjXyhxihdwPJlDEi72zbNZwI49wOk7JzNxR0QkUtdwDX/K5XV6wP75bDneuQF5amb+b9GGdzRDbe9IKI7wwEdgxOGr1tBd6BcVKkG53Ss4v3yjAzWTFkmKfBnbsFlkZgRAIw+jfZ4JRiQ4iPiEeuIevm3mXs2GPWs/kUqSY1818eAFRWUQRrmL7cNWhT//P6AIZLOvbe+8AKUHmeHVsHpfYURcHwcJyBcD79+HjPKBQIKXf6tMagygYUs77ksbGuGt6p4E4Wq4tfHkbLaAWwu61GQRWWbR5ICSPdYOw7Iqwp690KsAN4ciFJ+/rI6X+3VXu3VXg1/AiDpY2CIQjvD9JdERUFyrwHkiSAGT6Zkkan8OUADoxvG6NN774dLXQyHcY70zGtU1A7VJXPPoRs6t60CMBxtYLjxx+rMAyikjZRSgO7V0Q2Uok2XFg/9e++zP5EFLAFi2Pf0iLoxKiAdCUBGXEwJLGZiPA0mBQ/PvVSINUCZxCmFBbVY9HC6bdUBjdpIr/oY9Or10VBC6cemQTSiUrT312+fhzVxhBuKLgUqolN/3w2SvmRH0xt9tXbnnE+PYHoL9SkC4tGP4R7J1liLYK4KmkyXKM4AonL2xXO+/Pvv+44igs/W8NkatlKmzKv3ocg0urrPbVRmjtykNnqCbOlIYniaFQYWTjR/RhVUm9GlgaAWzVos5kZlG4MgScLwQT7rStGaj2jTjltDcfgJGIkWzxgAQ9Z58x+7x0BWazo+61Ow1qiIeYxilDEXqWrm+WMAPft9DGxeTj48/RFtKVjGyvc6PfPu6a4KGz8qP9llAa+o4NoSfANZ92aFug/f17H+IICN4XWHFjGJOZz8cwU3ZY7TTyYgi0oauJ9PY2FQDMrWVqFXvYrg3Y3r/3M/k+4TdLm9qsvfzmhfqYrWet6+FsVeFIDg82hZsyXGN4BPUDdTqh3uhDDuj9tW/V1Jw/1sA989skyVw4HTSKU6+8D7VlGKkI5mAArwdavYakkp7XX2AKSTpxTFf/vlHR+PEx9nQ8dAM+DzaAnsI5drdEMtgn0r6SBJJ0Y4KvwutWrWjArHDueXa7byxYsqjKj00XOfxLwHlRTgO+F+9OU9NFyEhWAl9lnvhrdacbSOXTleRQTHMNxXyeFXe7VXe7VXA/BnJLUDgLGCLr3+TH4uMikbFtKkRiNm8wTJPlyLPwx1uJqRMXE6PEn09k0esYKhfYMn/QoP+eIZBEdv6CdVrL68vZH2AF4z9Oe3oukiNAXzD6p7tvw+BmTuCoTf6Z54H57y0NNi7gwSlPRBAERVK3oyIxoQCjC1uDIXhFLDSsrOcZ4EZuERNRoNX97e8Mv7G/79118B0FgWEdR9RxXBP3/9HcfRkmZRRSnVadODbIthFUmbYSSHQSOwjCgV93RXH69I2sZy6FtY0mEPukEZAgIBEkqRlI2N+gtZbLIIRnF+/mAy7ZqnYw4yL0ah/+5tK7g/OouO6TS4f30c7r0FTGkoRWIthONx7w2hNjS8VkHvpGfcKj3VEFDCN8ZnMUQHvK/wKIxzsk7QYAzQEwDyQq0yg9pSKNGQEblhC3Ccj+qDyzFUv27QSub8AYkRbY6VgMZrymg7+IvulOq5Sd3gQ5HRP2AWXwwlJIB7fS/KtWaDNMlcE+GlJ4iNvlGSOfYDqWDNx3wNL6wAdGFczd/H/8q6HtZFOQHKEjzJ/10Nz/XyYbz3RpW+oOLlQyyTElGjpHimk2GZEPjnIHjbqyv5WdbGUQ24CuweQfvsTkeK9xC4/vn+A+5BBcWsFxKtD0MTw60q9qrJbIs8p8jxi7pRolN5C2MWX+1Gb35VwT/aCTEW5tw8ovgYg7RZXyjNBv5ab9gwcB8dGxS7FIgoHo8DH482xzvWLwQmfJdFTmCA3tMTwdVIgYP4+ziAsrkoidExdpwchL0Wp5gJk+Yziu3XdlrWrnw/3tuAoJMWplfltQAl8d0A7BmhFMk8soh0nZ3jFvLLxzDswxBHTkaSXu3VXu3VXi3bHwckkfWIafCIc9ClsNDb6dGMvcwiccNo2GxK72ccjDRYqDYTx4LBPc9+9g1FHvatUU/fRFLRZwPrB7AmBOlfj3Y6x1pSonXbSl4//jdC/0FHMZugpBSF6iKjaYvn1KbMayTw8lr+EAKgA/uNBknVAsOAaiEveqcKzT8/P3G05oegATbQ/EC9Hw+c54Hz7Cw0mQel4fP+ILArNIA16r44ErLsn3dnPROfzkdzCyirxgNJexpj5gVg9Ua6ezKM0fAYiysdzXwTI0DxG1mD86YkQYvZSE5+2HTmg530mABR7uWFOM1iCDBc+78SrMKFzyJC0XpPLynrjvhdDLiVQm+mCg2uoNjJVY0pCityoglMhgAbNGlM6hShsE35+YXa4kiX+ELAUnXifbOsuxDhL/PvZ3QEYVwtCGle9od5Vp1UyOT+h5Hq6lBigG40AlfJ5jUaw0Ka5kau4FYKKgTDJm0xooMmBBww/tmNEagNmgB+E+D7Iu8dhp4B7thwj/7yjInp8gfXRRyfXSN1l7bMS4AmLeI5LpyDUtQly5+icHFJX7M0ohlRhJJ+6cuCylqDssZve6XMb+NevJ+NYygFbRhz5QrByOHiGQJJmucwRnMODQlhArsza8fEM9vMkfN8h4EJ8Ax8L4xBGeUQTTCwSOXw/TR8TPqYtMutKL5upDhFHyOSumtBH4YvpeDNFem6AeNxMJcOM8fFsTSKAG2Jdg5j/x8n6xbtlVXWGb70deDb4ugezQQwAnwa8Dg7jt4JcHQKXQBLTpyfP60PviPM85ieJznXT7x7uIdGFHbk64ZqaC4tnPvPDwmD4NvRsNeS7/JXe7VXe7VXu7Y/DEiA+e4NoyYdkIMe76qTqnK65y8O1NteMY4GYHhSp10qDa8ezsXh6AcuD/yzdXx923H4ITFAYLQJPc9l34F25iVtGA4b2Kob1D85IMRd3uG5Hm4cBEUrTnczXDyeMBqnWylQsVR8EeE1Wu9433e8bTse7UhOsqnicRyoArTITRCZXm4Hed3GNDw8ofrsDcfZ/LCeymJ9UY8JfBPNDEkTm+PMA7nWgrcv77g/PjE8HyNoHdc8Ypnfi3nycRphAWG958wPiuhP9/os/RzQopwv99YOB1EADYHh9JCgj2lYJj6+sDCE+Z3hYCNzf2ApVRqRGxjBymhubCt///txYq/FefM9jWUW5mNOSajmBBx3NhCuT+3DO4xVvhH9hBt9zucfI2WqU75akCBbRTAgqRYnDlqW2c2//cwGF2F+wOVzIijbNJ5Xb7AAbmDNucv7Ljeo6rLHcU2z9OhHmsCuBZtfu4BrrhkdBpFK1RzEx/qazxF/uxqLlr+RWSTx6Zl/aOsHcr3w7wG8sbxnIsrIvBF7Xs4THC7ywsmoBPD3tx3vteB/fzywbyUVtDadkUITuEw08BgEtY9OmeDqjoUzaloI1buCFnf0TmM+3rnxLIj8KZ9bmQVnGSHwRG6VjPaKywKb77sigr0UvNWCAuC3x8k8PQCPPtDOvtZpBQw4baA3w9FcCasU7NsN94/vOLM6fBTXJAWruOPnbAP/+HZHR6x9z48pSCCwPmOAdr5vQRETl/PtvicjZ2k4oLInkN2dXgmLfTn353MrOt/FIbYQhSLV72vD0BA5IowmCYC3jcIMBjBi9cohebVXe7VX+6H9KZStPOyGzVoIRuUkgBK0IlTF6vm2p4H5/X6mxzsoXj9YVAFw8sDln5TfJG2rmcHGSCqXiXiNkYbRvsH8oAvQI3KV6c1EbT+Ugs4QUZQovOZQwI0t57VL5MTMw1OWvrMKcYG6d/zeOqAd97Ox773j/PxAVcV7KekVHu51tTBIFx5MGK333vDwSsGy0IJCzSaMxIvR6jQTRghW5zI/V0vFX/7yC1SBb5/f3QPJ59Cgn8U3FgNBfEhMZr4H7YilxgmQfaVoGpWFArwGaIERvG67R7FsqTET85FgdRrwGh5/TOMrgUoYKItxmbx+p3oxCkQDUA14U8WHV0wXFXy9bRyPQMjLGDSnhK3rdl3CRxszcgHgVmrWKSh+bwDpjTZzIOPXzCgVnOLo4xsI/wfw6V2hQhXyOisATxGH5Tur4R0fDaNOll+sOThrdAOYct8EMJaGMo1GgQ0Hv8pidaEyt2BjV5CzvHZGhbzfCYSXMZ3vihmxvOYYXYHXpfk6CbCgXqukVCYoB4BNUOmURKoArkiHz/XulL99K6RntuFrbM2TogdflaDs4Ybro3U8QPAWSyr2Do3uPvNtbIoFuCQblak636djGPaNClvdAlyZ50bIBLc++KESdXP0udeCX/aKb2fDOQgeBIxkP0cADcCHDbQGbGPg43hQmAR8l8ac9DayvlHI8n57nNj36kDd11M3V+tbFqO/LyzWoc957Jv1nQ7M+lSWa2NO1XNhzATcExEj1BgZGXGwkXvUMpoLBVqzWTzWOA8EhHTW2Zi5dK/2aq/2aq822x8GJIs94NWJR3rzI2m29aVKrbfw5hMoYFI8lsMiz5/lcABwrXDuyZ2fjxO1KD4eJ6sjF2XxMlqgqKIot4JH0KEi0gHJftIQouc7chyy7oLRC3e04apfXtk8DG0HJbe3HZ+PxzQOF8unFiGveEzdehmS4KHZwH3AqWL0YO6q+Dz9ABzmlBvK/h4hIuCfBZBe2MscubUia39sOXj9uc1IobjtO7ZacLZGcBaGqE21mlUlLZ51xZLx7zSMV+Pdv3d4oq5dvsDORWRkRGcBUmQCEsZ14KAjjO0wBqB42zd83u9gyohO0AlgdEZkZmiAdBSBosLwthfSYcZCiLLVTpEc26jkns/yNCBhFKsITk+gVhUcnkBbPEwQhUHDSBLMcQ6vMX8ugYUv453RDTfub4X7oBbxnIMfjfP51wucufxEox+CuVd8LOrCSQwQMAWUYuPM20VOU/X5+FoVDQLV7spd81o0emXKAPvgioObtbfPzxN0q+t6Xyhx67PnvJpL6vKGvRlK9Tytyj41l6degVOA7/lD7pn/+/OBcwzUUjAGPfJSCChrLQlGVShrG4VTu0cTWPBvXLz6ubSGpdqZwTz3wfsjzDGJzxeRVJI7juZF+2Sh1iLXXeTyjdbxG5gXqJjvkInkgS9ey+l0j795hCcitGNYKksVj44ESC0OkEoHRjF8Pzq6INFFAIqzWxZmDFAhmHLGP1m2pHp6PmNPGeOfLJLL5nn62fKnhGDBMOxVoQo8ju75ZS7eckaIyWDkgGHA0AcjrALgfvB92v0d8Gqv9mqv9mqz/SmUreWMokyte2ynt54WzHBvnlsrKJXUndGCtmKLpxHT87kc9PP8kaRBsYK4F/VS0lqKqifRKw6jFj08ib754ds7MrmWBo+lUTSWLvROj2Y+7+BxOQYy6Tw81K13zLoiNAT66HicjdQnC4MqrsV8knOQT56KLso+PozqWmKAKCVoj9ZIEQE/V7by43lq60hdxzNoGRp8Gcsp8XlhUcXuRQEvRB/X3A9jICJaWmSh2qVrcd5W3dtsQPrZw2AfYbCzdoGkkb5cawVPS4trh3oa4N5MCP769oZ2njg8Z2ROaDzLfO5NC/uC4R5mPvW5UP3EDcZYH3spmY+0Rkyy2jymBzXWTKhP9W5pmBR1OpUboxHJWXF4GNYRNZOn4Yk5DKAe+Ti3WpxO6OseWPPGs48xNtNw491j2IKapsvmoGfbE9lVmC8kTPL1wfQptmtnRVxZiu+Iz6NPYGuAeLX6NSITkU3WEwnw9/Qg8SxC1T2+diypcASvlsZqWPBzL8a7xJbrLQMmE4ACNFStz3wxUgRBQ98IClQJQiNxO67JyuvAWyloMFetgyeRK/ZScPaT8sgqrqw14blA8PVWMTrweZz82QLm1r23R5K+S6hHFE98PzO3yteaXyPyRmQY/mknBARZ//Zl9zwgwzGG191QdC/m+FaLC5XAFQOZbzEV1hhWKiAg/6oF5zBsVTFOw3lMABZBm8hHW18FQdML+m8Cz3ifg8UrL2DEx0WV0seX1RPXXt4TiTE9Z5HrkTmK5utYZUr+Zq5XgHaPIIaQSgK1n73IXu3VXu3V/pO3P07ZMqcsiGBTwcMr8ULcu4npGVX1F76Tj5NLLFS3GmVKb4ZxDIvvhDXlHa80HMQPawIEHgxMLnVqiyH54cMVl+KgeZzMQ9mq8rBuY3qidfYf3pUSp5RSjWiYpSQwlZEMbXTUUlAM2LaK7/cHczkW65LAZSbxblv1XBJzz25H+NDMjXMzJk721gDMmgEd5HvH0GRxN5nfjfuOMSlDmZsRX7T5s+M8IB/OsV7CKOIX5hjbJQKyYhBbHjarqrthHkYdx9MFD+ZUO32F4y96NQ6x3GO11jNiI274mwHF8P1+zzEUBaxIUgollNUisgRy43cHIj0qbCOMSHa+23A1N9JyrJMr3j064LbI0r9APUgDPSrZw3Ua+jDAgUjkzZCStkISzDHPZ7ogiEuOiApwtoEizAGKJPw1ihWzauvCXA0yk9zLARzDgA/63GfrOJUG5xby0CKAyUWNS7BEe8y99gL8fjbcO4uYTlSVDunsSx9XMy77vPwwwWkmeceHLdcAZBZxjMrfqwEfVCBW2mZEpFRP+BcH3n5963ZZg3Hd0Y3viDplYIdHF9cIoRnQxJLGKgZsIvjLtuH72XATxV06RBVbLdAuKbcdKmz7reDsHWfsr3CO+HqtntfXBwt9RgQlHB5mhmqS9U6GGXYBDiW4PL0qeYEAZeD31lBFsHnl9jboQBjGSMqXWtAAnJ0RhKMP3GrB133Dx9nwOJhwbwDBSy14G4LfzgZRQXMQd9sKAF6fYycIdTnxVWiwdJZE9G+M5aX03GQZ+7mQrs4Kmz+35RJmnG8rwMfZCcSq5NyuWyjACIQS15s7zMIZIT/p2qu92qu92n/29scpW+n1s6vnx36sVTFGqPrQAMhEUDWoe9mirsGA8+qDxvJEux1juLywmzF+JoTG/hgN+1YAcePZIzRqSDpIGO2Poy8GF79fRLGldr8rLTkXf98LijCptHvEYzXMVQS3WvHl/QseZ8cYB9CDYx20p0hSN9RKCkuzTm+lel0BN7DNT11VYfK1AFstqKWgWc98k6pLnolHkFQYxTkbKyObLipPwA+GfSk0t//Pr79NQ9Rtgcy9EHqSu9dsqQGIZCpumRvjxBbiIjnmBrtTQ3wu4j5jMabELxJGVhhwJSRYL4/gIMk586gCyMD348j+EAVOql0UGRQwiT8KwcVavveBt1pIixPO2RB6iWuZcwnM6MGkk8U6msbPWssg+yxXZbYYKxsOyiOpPMfnOlcL18iB3qR/wRgdoOeayflqntwbBnB8bvH6Z/9in/g+vQAhWfoAGva7uEHrBhfrq1j2Z/Qxq4b7wlQRHIM0wdwbPjpJyYE44Oa/q1PC1ohRDEA4E9QNv3V4AL5DVKPoZEQG6M2PB4zIU1yrMIUpZcwDUK9AUB0ExZwHUEx1J//O8M1DR4Z4UXdzZwDldFk3p6MIcO/8fO8Dp/dLRPBWCzAUn505eVIE0nyE/IYxN2MYqUKOBItIvk+jptHRB9583GyYO0NIISzKnJfqa2UMFu80dGxSsKvia634kIZ77/j1cVLooPg4t4Ff3nZABH97v6GK4N876+7cz4bT1cBc7RgQSrrfXFBiGHNLWp+1emLoWZRx5hilwERuuBg0+H6ghLPxw5f9OCdvXTCxzjmPsnnem0er0gkTdLkFfO/VJciH5LwcPQqg4tVe7dVe7dWe2p9A2TL3iNMje20/uoK6v5TFE0HV6Q3NNecNlmF4M1cw6VdyRkQLxIsnFldcasunREgP6C3qSgBQHmBx5lwOBomDhYnvuydTtzZm7YxhacTePZFcywRcRWmC9D5wYuDj4zvMRiZWqyc1ivDA+v7oTh0zmNJgO4Uf1jh0VTLXBm6kjmF4nA3NvekKYCv0lIbBH4drMwA2WKASSO+++SAlMMNMCL8/jumRTm8rsjq9AkCPKvJwCWNbEpAjyZZitgAxgkG8qCL7d44ZOZp1XdhGt7wZjWLvS3zG5mfD0xugZVPN6tUigFVKJNs5LoUJWx942wqaS4RudBunVzbG0jxR2G3TpCJeQNhP2g/KTDLtnfhPw8AFbaiexv+UaE4Q5581YCKDYcv9+L0EYTKT9Ksrm0Ul9hjL+GKOZYDF5XchlboC2eJFDYfF32W1/bLflzk14MTwWkOuYBURLTBJOiiNE0wsOUpYbcZFOtqHIveJLRQk/2L8zmI8HfSOCxCC06nMI3uCUmV6ygOMqdPSfJtdRRKmoyOjj+J00HM4IALpXss1VRSR3H1vLYFVMSrArfS1AButD+YrCB091kaukxkNwBSuiCiiTWniWkmp6mbQgRyTGG9Rr5KjgHWkE6HWQjqc9/99L7iNgkfvOG3gTWpSwzqA3fPtfnnb0cEaHR9GR1TrA9YY7VbhOutmwBh4tOEgUTL6GapiHf4ysplzFHsS6hE5X7u1KoowotzOng6Bn4KSWLT+bMXXZgDZvSr2zaWafd2do+eaDVQrEEghEIqz8Wc46NVe7dVe7dX+DECyHLrry/ynnqD1ZY/wHs/E8JRrxKR39P6TN/hy2NLI6rhV5lHoRuM1qDb0DLsxLaTBRP6FyNTcB5AHXcjLwghISAvL4y4NlFoUWpi0WIpik+Ke4Y7WG6oWbFvFYW1Gg4SJlh8W8sasi1FFIappWK9hfXrDqcRzHu6ZU4/ciACqNFwM0+Pr1pAZsqhfGCqrobY7VSM81vf7ieKe2u6F/QSUVi41KmvTQ8g6Cytdjs+jEmI/AXj4MLqskZD7jKKRGTmCOLVmKQ6YAgmC3ih1XEoANY4njJSl3obXeaEcrUDAuiRTklnVK1ebG3U+pyaMMnUovlTPRfIq4SqCL29b0vYGLD3es/L58r9uPUuuc2RRtOIGq4lc1nYaU/IjkInPxdqYoCQ+EtLaCdnSaAtAf/aeBvEK6K5ba1nny+1FpiHMdeb7VJlvY96dNVEboCFdC/c49x0vVEUQYkOTnsh9GflNkZvwPBSRR5M/iO/E38FIQILzy/vJnLYpl/cQpag98up9v8hDg/S9yPEpKinvOufK3x+DhnaMM2Kvy/Jec2DYEcUxvd9Oz4o8r6AgdS8AuFUqWzU3tAcA68PV4mJtWEoDi3/WzKB10s1iTHrkgPhaGstwDWBBVa56BtLnPo4TX/bK6KzQKSTD8K6Cdp5eUX3gViqdIZVg9NvjYMRFmd8UdX7C2XHzfDhK6FrSzNh3ZJSLtEYf9eijzTUqy96Kc6IUd07hJ3vsucX+MOBxDlQ17LeKXQSlVIzeqHQGCmSII5d5tkjmLIoAh00w/Gqv9mqv9mo/tj9O2ZJ5sIeXMg96N/bTw5Uu0xkpEKN3Hwr0c3oGQ0lLAEhRmCdYP5lc+Y+Hh/6ruRGs09AHoiZHWIIerRBJ2gKACxDoQYFwg0LcgzmiDogbF9WN91LUDXgayEUF+7ah3iq0HRhh3HjLKvTxQBYHGz1xQ2ZOx0o9oZE03FijEdZlwLrTMegcTMd5GMQRyVlt1uJc7XvrqFtljgmmYa1CA0ZcujIO2ho0HFPPs+FEymIApIG8rA0AWSxu+MGtohBlxeVMTA3k4sNfqmCcS+KokpoXlnLKfbqxMjzK0WMuuwHSKVHr1BC1qXgFsaR7nMZibtYNpw2YAkULqgqKe2IbGDVpZig/s+qXpckIw1ywY7horzh90Wyh80xJZNEnsBz7Z1kvMYcmC6iPPefXimTwb48zo1dAFIPEXCRz4jFvEh7f+etIgGZfmT/Wh9fHAfMChhvAcbejdWxFk2IjICXyWKM7mHkfsXZiPa7do4d+9YPQ0y1AGrUxjutExN5WIdVwOk34udZHSnfzd3N/xbUj8hH3oWH/BCqHZaRxvqcc4BQC4b0WfLufTtPjho08Eusde1GYAr/fj/ltj4S2PvD7/VyiOPxdRCvZJUafakRX+0BrNt85TjGKGkSiwqRzgYP3KeEbkdrm60pVsG8Fj0cjRQ/AvXe8g/VKOhgxbb2jD8Ob13r6/TiZG2eGrXIcNu+LbDVzXFQFj6M7iNUEWlEAVMQT1ZU5XARbASAxX3De/+IgTMF8GOuUYT7bgJitU/d0sCDfX+GM6DDcW8cOvqN3B1TciMh9beB7LvYkYm0+gehXe7VXe7VXm+1PqEMyudhbZc5G79c6GFmXY0h651SjeBe97sfZEZXEwxChx2uhoCyGyNVK4b+ZKByGLI3XpCp4fQwAaVCpUhlocZVe7rGpQpSJiQAPmTamMhcrrG8YAB7ngXOMmQjv42EDWQgrDJo0hlyuNmptjDYgG/KADY9anLEXPX0fU0rOxjiKG7xz3FfaUAKcfL6owaG43XZ8fNzp7U4X6qJ2JTPHI42nAQoRuFdZiudDWIBTGiMik+aUB7ayGjjM3EvLX4SAgYGgQ/0alP3kJESlcLJVIspiWWxRlTk8uwoefcCKV6oe9MyaSEp2dq85AiUYFNDo632g7Jrgc8Fx6O5RL75kWno//dlVoGKwfmFULZQnAo6s3O5zk974JXkXwKwuvRoyi1FMSdq5P2wRL0hgIchco21Jfp8LIsCjRzEwDcGYl6yJo4CECIPnJxVISgCvFCYD90kVJV3LoyOA5+P4fdfP558yf7GO/bXrc8NGdCfyXsRfFIYZnYwcIjNPMjaqWoVkMZzaZnD6of8uNm4oa42x3NfXNKfNFdJ03i8eBWAeQUQ3YoqKA4MwYs/IIco+z7nDcs313wRMfP5aFLeNCnDH2bNuSHbCrjkxYwx0mcIcsf0lQAvingLVgvM48V4LbqI4zNBax+99oPo1ug2vEE+Q8VYrPh4HSi0ADI82cLqaWHEKaqyZx8m3y9kN5+jXvScRtfP5EBYpzSgnOzojlrF2zdW9fJ4exyK7K8sfC7bMM0YIngoYKTkaJeHLpikisVXFL9uGX+8Hi82K4KYEhd9aw9kY1ZbYdi/V31d7tVd7tR/an1KHRMED+Pa+435/XA7raGMWJ2BCcY1k3sECeE5xeDRPqRTSiZi0OCbwgLm0KNJQjt+F4R61Q7bqpJ0igGvBX76SXqtpvLjDEp72gVst+FIU34+Gh3vUbVDy9a9f33HawOM4EY6yNdn5OI5MfhSZqmKqir0qjoNexO784tDPL4bkPg+X0wQAXQ7gUGoy99qfTqGid04uY381f9jI4weLNArrmqwFuwJQwMepLHVkomhkFK4D3Dhy2paBBs8zbSLGNwz3ALPApHDR9pugJsaAoIRGZ9w/FhlrX1jy/2+14s2pLcPBw64KG4aPdmaSvprkmlIoNlU8ek9KHnn93nlj/s5plqo/VPayXFRiCmvT2lBXOGpnRJ78s8OAMbfI8OctOlW/cmM9efrDQBUXIGMCfPx+9fhO8Bn5ELJuAL+0rBf3ibe4Fy7bLitzMyLCdTOsMcLpF2sjZKEJGAEvQKpOufGLLWUbMrE7DXsgAcJqINrsZf4w80YQiej+iLp8N4D5IkcOeCQsAUMogJk7GwSRmzCHh+D3vPYix+c69JYgMccbc77j43tR0pAEmYwfUb/uKmCe9X/dwjFeY5lzs6ReNgdV3YENzCbokqkMNeWKSQl9nE4ZVVeY85dKGPv3+0FVQgM+PNJkgzU3HsPBtde+CTDQAexbYXBT1HOxjEpc7rzqg1FcGy4eAmQkKyd/8UpJnAH+d1tqLxVfF12XXC8kzl/+Ms+KKEbbkwc215MBOC2UEbl947xS39/qi7n5vKgAj974fl2WReQTvtqrvdqrvdq1/WFAEgccax0UUo6i6B+QXt+oUpueKPeIxUtenMMliMrSjE7sMDzOpY5Eeuzmj8LgT9tNpuJKGE8iUTkeWfgMmAZNHLhFqY6ylYLzaPh+nNhKSYpRLQW/3G4wDPx+v0MgePTz0g+AkYreB40tBcS8En2nUbPX4ko/1H5VASoEOiYYAjC54RDslTSSjjhkve8Gr/3gyjYg6LmVio/zwFoQbhnCBRQAn/eHG18GDdqYuaHk6ETcmzqcs+IkOBqi3YufhbHs/YNMLr7k/dnzmVtCA0qcqhWgpASNZIlAiM4iaXHdVUphDMPjaKTWgRGQEkIEo8NUcvH0IMyD8qKUVQWgQNmLy/gGXcRBz7JmZiTI+y1A3cqsgbGsSXrZI9on6zS4oej7KYEm8ssZPfF9gwDST/MpECjME5EXr7JFbpGP7ZjeWss+II1583UBLHsK0zaMawG8VoMrII1BmhDm8xVhLg8GsIviwMCugu9nh/qYXi6+3G+lXSVYsKfPxRj7uoNN2ttFOWwJCoXMr/n1Goz0ncW7PmxG/oJaZQYCyTXs9dQP0TWyN0HWuv3i31spuUcyeulyvK0PfHm7oY/OOiZ2vV/kQbWQWQfy/Zl7CIlR0mESkReCuZlAThCnqDpwukNJC797jJFSzfB3tvo8x/6XAZ97pKph8fyiZkyaL6rYtx2f9weO1nEcfJOFKImKoOycqALgM5LoEcCBUVJRRncLxOW2AdNJie1cLLGCs2ZN7KkFI+b0ZaBcZFleTj10p1hE1tSpcBiWgPDfPx94qwV9GA4b+HQJ+ZyvQqprg3lU/tVe7dVe7dXW9qfUIQF4uP3627dU8Im3fuKIMQ/7i/fJjc9wAIofyG97Se/06VEEcc/jc4uDNTz2ZtTfH2ZooTzlfRoRcVkMyd0T4kXofa/QVJkiwAJuW8WtKP5tL/jn2fHZetaqGGPmaKTX3O91sgy90z+mizNoIP/tl3fKyfZIVnftfTd8ZDloQyGMii9uNMaYmOQzmht3j9YYCQhOO616emkBDE9yHn1gFCWFJfqXh6aglII+OsaYybSZWIpQ27qCDvVnjKiVyKpOZZjDwSTvgTBA43ehnHOlYviwzTEM43cxQA1I9aYxDDoMKmPKgvpziZonyjL/5ZQBLcXB0nyOyP8JpSP+RyMnpF3H0sdY/sNIw7Pl5wIHHLl2JQ0dgAAUY302iy2TBrQInmok2OIY8M/K/I5EvpYDmmEsTPfcwviLQQzDeY6YgwxVZFX5+L9BmVhbAP4wV1fzaxFoB52LVxuYdWiebvfUt9m5MPLNZk7SCj4yarJYnQHIaSwjxRRiP0R9iABkfKcQ4WRenIrnlj21p06LLnt3+X2qqfnnAgjEnh0Bcg2uwjUyGrg6W0RmzZlVXUoVuKni6CzQaOZJ1RbCFlwnRRWnDaiLDfTBviWQ5qOS/ugrXWCZtwIg37UqLIYYayPySrrv5W/HmdTNhoH7g/kvfcxITK2a1x0g5ezvIjgai0ea0zG1kJ5YPYLUfC11j9CsFLesF2OeRzI8+hHvSJv7AZiATQDUTTG65Vgwt4hy7KJch8cxhUrqpjgPw6P3PA+ASdEcbc5zRilf7dVe7dVe7dL+lDokk9uL1OMHkAdEhM3DOR3GboCR+LsIsr7Fx+PIatmpLJSWKADhoRg0ozEMwzMwWXNDkle9ebXqR/cojPBQiwq6M8k1jFsAw7DVgr1WtDFw2zZ8KTzYjz5SP1+LQG16zN604O6HZLPBfBiezaS2iQAKPBq55P/4uONv7zcWGPNr8NDiFwzT095c+WtVr4rk/6C3RB4Jv8tr3krFad2TWt0AlknbEhBQDZDPbu4pVDC5XzrNxpLqNtNIjqTc8NpXFRYxW9yQhih8N+edY+xGIixBXe/0zIYVm6BmMTYSzLoBEZ7sulFlK9ZgKfTQ3grnP6hsRQg4z4h+jLk+O1zVJ9bZ0hzPeaTIk2zd6IiidwY3ysdgzRgzSqvaBKkRMZycuGmohHRyAM6gWllYra6zKgkGuOekBh1uGp5zIyIVzMLr+6+soqRKhcEW/dPIEeLPihetHCaeU2QAIoLHtbKJg1wPGQwQCLURTKBrJGPCrx/Hfc1LivEKme5LX/0bcS3HvJP9JrFHzHPVxKlyuIx1JLRDAKmS6/aSs7LeM0EyYG2p9WNz/J4+yr4L66ywJwL1sdhrwen5ChElDT30oixAebapQCYi2D1/SkB1wL0WbFVJgxVklNa83lO8t6uqCzV4vpJMKXaIZvJ25qx4FBIiqAUY5vvJ36d7oCHws30wCmLLvITzQwBsHiEpKti14LfHgV8xc1nKprAUvZAc0+Z7eou6IOKV0x08iUsVx3qppaAIacGxYgMoBAI373Osx20vmWsUIJf1ngjUOgAdwG1Tgso+aV4RTSlbTBKoePezRf5qr/Zqr/afvP1hQFI9zyM9T8vvBIIv+47HeaLZuLyIn5NRa9U0rAfEecVjekUD+LgBXqviqxb8NqZXL8CJ44n0nNZacDZWAhalIb6VguPBAz3riwjwdtvRO3XqxzB8Pg6ICD7GwN05zqFWs216MTYMho+zkYrSmdi5GnUA8OV9x+Ns6RU9x8A/vt/x9bbhl71CRPDtPC8DGUmfEdG5KAiBEaHuHlkJg8tpFaUqhlBadGBq/Qef22AYOr2eN9B7egoN1z4G+jFYdVpcQQcjPeQRdZhdkinvG+shx8AWg9fSJu5jetRj/qbpEj9xT2kY9Yjrz3oSVQSbc9XhBlZRAq5u5OTvrgKVkZ4qBK9mqVCW1ooZlbpieZsrmYGe3ACBa+KyGSDDMFyKWJQKbMONoLCewxiK6vJZsM4WaokBU57ULqMxIyA0grRwHFI9a/l9/JvqazPKtEIS8QcIisrzz0h1Ecpggx7o4vU+JKJz8Z95dASeHwPgJoqP3nArgsPpdFl7JgYu1sp8nfhevq6xCFhgGff4Zzo98ueTXqcqLjARxq4XRnTwEXlQUdiQ9B3/Tu6tOWYXuzIAyqqkFBvB5zWBnV9D/eUQ1xlAUqFyEAFsW8F5dnQw1w5wMLJsmLeq+KUW/HYychvqf0H/DGlj8+ibqFKkow1GKExwWnfFMnaQRRAH3mtBqYp7C9lodyQ41eyzNbw5/WyY4aaKT89N24riENb72YQOgnMMilJ07rnI3TATfC0VVQRvVZmvFY4flZROjjEW3zuGGaEcEaGMzyKuzeRzVYF4vRYsn1n3QYsaSMLxscJrhNNEHKRBDOfR0CiJmNHfCbJDtpl9OhwYXgrTvtqrvdqrvRqAPwGQNBuoypB9Fz9kEEozwN9++QpVxb//+is+z/NiuNbF81hC5hE8BILeA7jx49ESUrciygG8l4KPNXHQD3kagvTUHUdDG50VjcFk5lWtR5Qeu1IKilDlBohk26ixIdBSoFogIFiKYllB6BeZ8rh2GrqbXOLe4QHDx/1IadCqgtZ5n+/HiU0FX290p0W19qBDZUG11XjjAzMhVWZ1an5/SlB2G6mCtmnBaQO9N0QERYWGphagyfTiG+CqQiOVoDY3ZMxY3CzrNqSVCFfYMXo1vY9r8vDS9aV+CdBb5xoIg5zLJI0HQXhwp7FN081paAMQdYACQApB1sQXDrDC27n0I6IOAgIKc2N2JsL6s3n/r3BJElgEhaYUTRrfNRgh+eVQfYN7YEtGgSyLR5rhajEBLjLAMR+u+CQ+tna5nV3+FvkKYSBH3Z38zDAgkuWNQDfGBkCq1okw4dkc2BY3opM642Dje++4CXNx6l4wPg/YUCTfbPkjNC+ee74+PqlQuBjxafwFIFjn1IDUrfXfqO/FCxgLQBPftigeec3RMsxcnn/VIkrnHMR1uicg9X4X1ZnrsCCuuMWX28YEejMcFvVzWOSzOceou+BHN8PnUtAzoytFMsdCBJCINsR9fA8W4AJG4hGHGT5axy9b5RyHM8ZrkvD9YniMgbeiePRB6pI65WoMbJWCEd0YlRJ/Z329bTgwnUIGw6+Pg+pg3d+xlbSxlQl82sg8nWGGzWugxPshwJ/j+PAtLJHHOe8LXp8tAXnIkxMBvW0VqorHcWJ4vlxRmREUswU8W0bwVBmVVXVa3JKA/2qv9mqv9mpsfxiQ0Mtl2LeKCuBhzesfFNRS8O3zE395f8OtVhy9u7dqGtkAJX/HYajVkpZUPQk+POBmpOaE4QFj3klQFIoyeTK8ht2152st6O5lVqNBqUGBQBwoClXSBo6zOR3LjeeicCo5ihR0V9oaZjg66yuMQZqRyMyLCAPdxsrhZ+QiPODispfmxsk/HweTHpWRGCaJc7zGmLr2qzEMWwxRufyGxoUbmQGuzu7j1wGUmaQJCE4znKN5ZIEREYVAVLFpmfQbf3aARhJriNCMGqNjFrYLdSOq+ARYitwbjmM8h3v4NYCosBK002tgLjc8nc5pUAiQ9L40ItxY6cZoiIBRtfCeZ4RAaKQHoSypTTYN1fzT/+7pKV6Azz3JbmSouFJaRs2eWk6RJWUNIABKA+pZiUfWvzo90Dulnq9AQ2ykIe1Dmn3Q6D+Q1bov0GUObY6P5qDMj4pKfmvApiLdsj4jkmVmqFuFjYGzNfx1q/g86Z1+frwVlCzYdnEcECDld3RGcy4J7PmQvjaW5wrwBH+vYCygEAHY5phJTFMfUFGMNp6ik/OWOaXhERfkPkeRGZkoknMY6mK1SCrkRV5JVcE5KADwcQ7sW7lE5CT27SBdqjl9S6qiOA1x+N7bCqOkBoLtyCuBuEBBN0iZk686I21mdBA9nLLVFmNaBJkvd54dZRdAWQRwE4pwDON7pNnAsRS5FACb77rNVbVCbAAgLZbzA68VJRmdhI9dyIU3zwG71YJjjFS6qkVmJMkdXGXMopYxZ/8KYAZwinw5vsP4/M2dG3BHwqaK1tsE+wGQfT/Xyr6fI6Imr/Zqr/Zqr7a2P66y5aH0j+NELUoK1xj4+vaG//rXv+C3jw/89vmJx9nwvm04WsPjbDAAxznSEjIzV4wBAHLTow0zlAATEomYLFzX/GBptuRX+EHQx0Ax6uHzqsHRjwNL8ct+w6M1wM2kszUkXx+e++CUrr0oPnpPTxvgBmof7k0W9zLyQAo1Fh5KljKVEKoxBf3MwzYQKL6dDW+1znsI8zgAg4j6oWx50EGmMXnbC8y9o8BM1EUPRS3ep5SCUsnnP/vISulR7XqvJbX6hzEHottAb8GftqTumNA4DHqcJE3EUlWMNUc4Lw+XOg4OOwogg8o4UcOlCI2MQBxFWRsii7/J1Qg0M5gik3QFyIhRt5Fe+wCuzLGgobQo5uZfVsM0DEe3Kwl4bCRQbp1GWl1qe6Sh49fLf/vcx+qJZwlvOud1UvJyBwQ4FiYzj2ZZZ6NnzpZk9Gk198PeWu117gOg+H5JMQEgoyIhEhH9GeaKa8vYKCTzoqzw+3/Zb/jt8+6AW/DxOFw9qeKtKD7OKau6BmiKKNQs6XYCYQ5WIscJCEM1af5wGn/5jMsameB3iSbB92oYjbg2ibUg4UhYPjGX5pzvpS+AQZ0aOAYNY9HYx/OjBPvArRDsf3tQEe9WFB9H47JQAtxaSA/tNtAHo5Cb0EDu3okQqFCPzrVzZDCKr0cq4RUH+UE1rRtRduaDYeaSqPK6R++5vsT/xwBK3nrk5vT37DDAWsetVqiPsQopfn0BNA3DwcFA66Q0HkdPoGQA4PlRoa4VCsgx6n3QKVCX/DbBpL6xr06z7FTAuszxvwAjHAO+10tVdBiONiPQ5vS1upUEfiGhHABIzEUGXCClRb7aC4+82qu92qv90P7DgOTxeODxeOS/f/vtN15ACylJgxx9LQVVC75/3vm9kxWJj7OhdR5SaSG5kXWh8YDmSBZWdKvlKhFLDvJpTy93N0zqrmgnk9JrUbSjX2oajEFlra9vO277ho/fT/ThRnzSJmjKVRGYkAsdnuUwJor47/0baXR63gA98obzJG0hNfEF6dmDIGUga1UqXpkX/ltMHluunbk0hlQlC0obK8njKqkK14QibwHtPF3mUgExFCn0Qo4BMZddLqSkHWfL8egwVJSkhg0zGsjuEd+2AA4DxasZDzCXQ4Rgs3v0pA1DUaBcFM2QxtLbVhD5FMNYFX2NVFxd7JPqNAzpAc310gdGd3raRjMljNS+gItYhZNfPpNZzZDF3GS5/dH68vmnTeOWbsx7Us/CeF4+b0B6tcN7LR69S9qQG7y6RS6EAEKJ56SHLUtx/n2h4iyWO/vgfYLLS4/r5/0W/nmPRrglJ178EcO8Hovg4dW2R/ckaeHv7kfDl7cN71vBt6NBnsZKlr4ZJJP7c4zCsEbI+gLrRKwRr/zeAlB6JCrnPWxe0H9uMNcMkBxEw/y3WURRfrQoZzG+eS3SduZ8a9Tm8PuKcM6/fR45WV+2ikfr0KLYi6JCWBvH11I8B9XfuBYqdAGmdJAMf+ZSo9o5Ls6RfS/osOm08D4zwsfn6H1gdK5D6wDUslZSvINSVVEso0DxnjIlxVYhpPPCczB8dXXj2miOdtWQssdBgSr+8zY8XKLihRAvy53P54V2zSm41lw6HDP3bFVr+39tsQQcxEZR1aDfxt6M6BynhVEh0/mer0XxeAzcnUJ3eXm82qu92qu9Wjb9//4I2//8n/8Tf/vb3/K///7f/7v/hlzf8Dr37lEPGI7zRGsNZzv5IjfDvZ1Pxpsf5DY97eKe6FUpKGgJR+tpEBuW67ixUColG9UNVGVZaQKn4UBCGWK3QT7vtle42ZluWFn+ixxEc2NfPEozxsDH/cznMMCTNGkIzKrnyIO7bpoyr3E4ahG01nEejeF/N7DpgZ5Up8hRyEPN+yLidCQgPYSYw5LGX2j5dz9gW+tofaCNnlS0UhgdCfpUrQtVZARVi8ngZdNZEdspIQFIzL3D8Pt3N7bTGHRgUhycFZFMxAWAs7MeQh+heCTTAY0Z2Yhn43M7MB52WWICQS3Fo3k0LDavCxDgJgxUW/9z4y2u37obSpjjLghZ0Ougxxhw3DApRViDJzbn1JDUtFjXQS2Mf/vwLcAUuQ5pPPLZR5//mVHaOLZKAD+Ooa+/eBDM6FvvI8fRsKhUgapC8fkA06qCt23D6J05WAFc/AJVBP98nPju0dF1HH5oEo6BMF1l1pLw8Rg2L3CZu9ws/GMrisqKmu41n3e9Uh19bBQXGhcjgLh8LjwfMWzrmIr3YTRLQYP5WDPPbFPF162iFkWpngsiwGMM1K14dXAqZ0VV9aN73Q7fx81FP0pR3G7Vlch4/bdtc5oXMhk7KLKhmAb/bBms67EVYY6eR25KZTVyVcG28V1W6zTCLa6lE+iEnHQVhjIeZ8fH0RCv1iqadYf6YK5IRAS7A7hS6ACKqEdz5bwxDEcLPbLlXWCGsw98uz/o8AAV3lQmFS5oV+rOpR8Q8b9Yh7GYtqL4+/sNf7ltvH84QRzsSGHSPOd4Koc18xyXOEtcIe3VXu3VXu3Vru0/DEj+x//4H/j111/zv//1v/4XADf23AN386S/MJQPT2KP5M00utJLNA/+fStZ2Vq9zkbo01/ql7jHKj2mYXnmR2bRvC9vNxxnz3sVr7Xx5vksR2+4Hw+c5wkWrXMDyCZ1po+VOy3pSTYYTpjTJSyttZCRHZ1Goi1UnDBIDExK7YvRSL4yD8rmn/XUDmRtCx+/4onagcrUawL0pdI6bNbMiAM/IzwOjgwABlKamMY8KRMFwqJ2fq+qxT2GXg9FJAsXqmr2bQyCwBUMXBZcaPo7BSXWRVTP/jgbzjHzPopyfW3u6U36Si4fJkz3MOaNhk3UHAjP+77QueLZCS7nOloBrrinuBTJpNoUWvA51KJ4v2241XJdzhll4/9EonFiEguwA/eUyyXCkQ56/50YvC6C5T0Sk7q3mhEJm0nScatxBVrrfGSRPFwN6/CCA3aRQM1FCJA3MyZYEgjO0dKbT9EHyWeJuh/DwdmFRu+AcLjVGkZ9PKwskdDoP5fOj5Bm/clWFG0Y6/HENW2+T9b6MJdEaCAjQTEHXH8+Pv5fLYXRRLcw4/2VBnsoejnAW3MHAkBHztTqLOjDcLaO8+wZLQgKFUDw3sfAefSU/jXPnwvqKyPSNORjD5ijuDamUmDM/nS++Ho7LZPyQ+WvRs7ZgssAwLqhnVzMRQVf94q/vd1w8wi1gRLojC4gHTcd87ljukmJnIA0YiHFnVVa4r8w8mN+iuctkjasSuDxttVc8cXfI7Xqsgv+RVsA7/Bq8kfvEAC7v9/o2OEwdHdWDBsp1FGEzrGqipuDTC2keb3aq73aq73atf2HKVu32w232+2Hn9/PRgPUPXYDi9cXoOe8OxUHNAg0D3vzWiEAQKnUUDWKFz4Tu5k/0drMBYk2sYo4Paphd1pYHMCqgg5SkLZS8bbvaI8H/vL2hnY88Nkt1aJIowhj0tJ4Eo2iX9NrLAP4y23Hx3m6VxikNggNkFJcZtKWyuIAcwCkY7/VGVHAAq5sNZbo3TQTFKURdLtt6O2RSf5poGPhx0/3MQyWhkeAIxrUkpEbFfVcAQcIRbKugAoPYAoCFNz2isdxYIyRye/D56KUldJ0NXhVFB2D0SuhdGnz6+7KujBTNekaIUtPexagDGMRSR05PToX99yUxuLRGg73Eg8HAt0T2asouoxk4QzzaJZKMNog3SBF04guAvQIWSAM45i8+Yf5upnREcMlMdv/DCqPFlyM1pQAXj4btC5dPO9aFGahNCdpgMa/1mFc14cBswo54BEN9iW88pEzEk+XxrPPNzTogR4FWwBQG/S2R+E8UrHGlLu1uX8DLKnX6EnAPAfDf2YJ4lJu+wdwM43ElBaeM/B8YRhmkU8Y53zAsq7E8CKCCRAx6T+Mcs11mNRSVUjxZetKeSJAPyMpesGv/r7pY0Bdjap3wy97xUfvXNfwwRrsV1voP4yCcN12Bygt1uaYe71uhVRJf6fGWvk8G960Qoviq7KWzGMMyJjiDPH+Gn3MsbQpNb5txedHcKsVH71BhLSzs3U8zp5J6OvaiPwuxHoKJ4KviW2rkN3rIYll0n/vLKBonAzKIfua6b1DncamZQGgiAi5Ttrkf7D1Yfj+aJQvVubnoAhMHdw5cAshlaN1mA3speBWFE3mfNRXiOTVXu3VXu2H9scLI3oYGgDO3lCVHqoBw9lmleHm9Kmi85AUiURmwekH9dfbRtnHRY0rKoWvyeT0zD5RbnjioJth0zINbLBgYREe9t8+PzHMsAvw5f0dv90PeiuLuidyGvNRs0LdcxyJi6UUPNqJ3z4fbmC5wWSh+hOHj+YhGv+FAVoiCRKTntMaEz3FvdEyT38AHIsqFapH5kuIGyjmUYU0wvLAlTzo+zCYSyMFGBmezxG3Gn2gO0WmiPAwtemR7K0xcmKzpkiQKEqBF1jzHCBZ5srvG5Q3KQSCEWELQDi8vkXVSCaeXmRV5pxsm9cTOb0uhkRSry9sp5YIBLetUKLY5yFqlkTfszgiUSj2vWYtilxvjhjXmi99eN6ULhkoZlQHGux3GLGrN3/OqY/5sKS9pPNZp9eagNHnZsxkZIB0LHGQFtQ3zngoEvFzq+0Vylixvg3B7WfnghaokRk+ESafZQynwPHzAUJ6JjVPVEAqJ/NvVAIyYwEusccnNbI60skxkwmwY4xSwtVwAa4BvlPFCtdHWIZ+zqsb+/l7Bxdxg4hARdTIy5JkFPVZylqq5/gY1bXgkTlSpQYdLz7OivlO8QAOzI3+LlN1y/xdt5WCczBxvcDFB0TRdGQ9pQCrvY9Ub9tqwV4Uu5nL8RqqArsouueTvNUKbaFkONefRdHW5X0UeSW7UyEN/l4B8NkbmhmGdY8S8Xqt8b0S7wTVKKJIgLLmeQi4h7e9oJ0dUMtoT0Qliu8ZJpwT8Ny24sCH97gfPXOOYu+vEbeftnWhLK2NgY/D8L5XiliY58SVOZdbKV4klSvRhGBdcaXrvdqrvdqrvdq1/eE3Y3oJXVq3CCk1AufqYnq+xhg4g5vu0ZEBes32yoPtNPcuOj2i94HeenofV8MehlkpGzTMIlegj+5efCZtn93w7aCKTeukNPzj+3f8dr97RWL3ZsMuhmHroRnlhs+gx/N4MHckchZUp0t3pW2FsRrf37Xgb+873vaCx9GY0J3POfK74QU2f8aoQ9LHwOd5ZtJ/cVWzKMq1+NcxJKgP86dF3VgSj3j4PCUVDu5pNQr9mwAFGVvBORrOzvoj71ulApY5yBrGKu3qfZbJ2A9qSlGngRmYtOsANkCZqqAWFwuISJW4KlS5GrMBqKJYZWsc71stqMJCbiFBHJGVYfP7ASNGD+BsVwqgBiCQXBCHXzMjNi4XPfcC50icXhLreNqshqcpgZRpkK7hjLW6dxiHGXUDpnytdzoSnvM7y9/kpz83X/dhZZL6EjkT8RGLtDC4yhbcOAWVqgIIpcJRRFV8H71V+j24ri2Vs2LNRRFJzg2ftarXvAmQvz6BzL9MgGEORsQlp/UHozNAyc9s0ax55KuC61RSJjxAyVpCIq7PPILIbZmUyNa85oQxN2K4pHlQDydQ8jn0zt3edmhVdCHYiPHdRPPGIWfc+0CzMZP2F6dJrJP4d3MHUQiQ9D7wcbZ839zvJ7p3YyshpuCCGd6/IhyhCNiEIEVsmhTT8LntNiCF73PSEtnxrRb87XbDf/36FX97e8Nfbze8b3VSdH0f/Jf3He9bATrvvW/V60bxnRXkp6wDMgzvW2EERhjN5J40pwvih31yCSHm+pLl7/NzwwyfZ0M3RjoKnAo3WBPrJoLWO8GU58FcnAFPzolXe7VXe7VXY/vDEZJoYpKG5T1kZ73mhqi4cpAlpWIaQuR411JctrHj3izVmMToeYvEys+jpQNLANeApBGw18rKwN251e79bN0PJ1WoFoxxYiuKx9lxP1rWrWhtJC3nUnHZD+DIR/m6V7QxcI6B42QtktMjOhGJCBpbAA4bjBIN6TBE1GQaDOYa/bWyMGBEToISEhz30xqA5h5bH8MxOxzBGj46D+nI6YjIBB3f4uDMcNsqNqEkZtCURl7LMrG+RMTCsRdzSRS1UNGswBWB3EipIjA37LqRMrdHPRqj+o6BHk5BUPTEjcIwMmdUydzzCMxaJiE3DPeUVzeqQ8Es7hORhtEHime6mhjuZ/frTrsk1MhWz3cAz96ZG7HdCgtJdipIaZmJ/0DUyJj7I//+5H2NeydIuXinIxowPz+6Aa4iJCrz2XRkNK8kkFnh6VwbsaxHenL5EwFlr4f96KnIbgsjHX0YosDO2bIEqAMVGvZ9DGjV9IjP2iH8qgpmLSGJ6MaMhghohJo/W+ytaAEwoveCmfNjstRF8ffA/6cZ6Gti0rIAKPL9EBcLUQr1vJikRJpB3Putqhi9c1uWyMOIQQdEXb1JuN82LWgukdt6x/u+sYinI6CqVOA7x0BvhrqJO14slQHDmP+6b/g+TjzOdskL2bZCme8l2vSX245v9wMGYK9T8U5VsAvN/RZ1nDzKWTBzqYZRgCIKGLaIkiVtN9YxowcRtfn7lx0KxffHgw4FY57edZYE/+fjgePo+LpvOMfA5+Mk9bZSTvf0qvTdejpsAPU8wZHR7c4fA7B8b/TQS7YJ5gJoCQRTUdsCRzGSZp5Ib6SKxd4opaCNDnPnRzVGeY8eY+Lv6D/uB3y1V3u1V/v/XftTAAkNBx7mU31y1lOwNCaiVoX/3fnOMB7C+7ZR7cmcl56RB/Nwv+bBUJNeRaBRix+IfqCGrG4aI260mx8Kb7Xg82x49Hk4W3yv27R8Fge5RVFDTMOuqOJtrzg/jxkNKIp9KwQkzZPbgVS5efSeHOio5xGW53n2pCeFutQ0dAkAqJDD74QsbwCOaXDSex33hNOXFOF5piKaChPZnQwBNcGQoM3w7+pGxaOR415cunOM4d8F/vb2F5zHA3Y28qidktJ7Rx+0w973iqO1BAnNs7qHhZQs0vu6GskxL2bA4UAzohKlCMToSQ8VrLM1RA5KrC/OGf8SBRPzOgtI0MKcHxaOnN9tS1KyLde6e/Iw5YA533ExLTFvs9kgkFy9slOpzHGlxt8tjfixcv8NMPfM9jZzlZobPuryVgNBqXsGIxzXAD18phBSkOUeVwAAzFwFk4gMxud4g0wE931Qi3K9+wpr5OVgNMPbW838jAAzFlEbX78ECUiFtJwAXCHGWociwFHmYQlmEn06GK7zMvcgfOz8nTCuHw0qXTrQBUCsX4koiGbidW+kaEEEa+GVMVhHKSKJKkhKYZWIgFFqW0FnD1TQHgZx+d0ugCgLNma0EIZv9wPnOZL2aUagOsy8grsb4aponZFOUyZ8f54nWuN9GfLhNatTJUVcyMK8+KxQhKRC0WxSHwPExfq6FUYtTRUfx4lfvz3wZd+gKvj9PC8gKebi7B39g/27Hw3D32dJMXQ6XFGBNLgDgnuFQbn5/oto3OkgKcDcin+mJLDXXwnHgiPhmRfpamRV8L6RntzN8P08UVTwpVR8Ow6UWrFXxpfVgBODlLJVfOTVXu3VXu3VAPwJlC2AhvBbZaE/c4AAk+czf77Q898Alv/O1tIrqE7jgsGVUwrGUq8CoMevePJDC5130GjY9rokeyMsdpxGjX8TnfSLMBK6zWTRywPyv6CaqUhKbxoMv9+PNCYi4Te+NpxOJeJ/9wM7qBUh1xsHee/8c6sFdVPUrSyqR5J5EeLGk6VtIWnU8pHcI+uDRclMFqWU/ATyd+cYKWlrhlRImhEJy+dnIUjLeVMRPB6f+DgOggwOBMIfCAuA6Eo80Cm5G5DD61hcxz0zB/JHF4U1CDYtuO0lQVrrLJYJ0LBTTMnP0Q2BBYbbhtVVd1QF217w9rZNxas+BRpkoe4E7SLGBACVhhwsZZ0MII3XAOH5D8w1EGAyVITy8S8AEyl+4HZmRnBy3ctCaRQkGFH5yZJOo3rJwzI4SCW/P7AalnvGHMS/bRBYp42/Ynm/Raybo1M8oJ/MSWg28tkvM72A/pFQOXu6PsXlf0OmmN+1/DNyEuKacYMV3+TWWYGbOOAVQD2fISJyKaHr+0QTzPg+b8PH0HdbN3fAzLUcwHYIowPDx0fF92QATOUuefQOU8P7bSOVy4R0SmFu1VYLQXFE0QrfH7etYqsFj7NlEb8AqY8xYAr89Zc37HulKlU4HIyUq6Cc1VoIDh0g1VrwX//+N1YwBxL1re9oAcUlir+whg3srkr3cZ58ptjPK940ZKT043Hi43FmkrpuivOSXA8XR+EsDgCPxpzD6vK7kci+gvDn1bQ6LqJI7Prz9Vtm7q/wNe84B7daGQmJsik+FgN0yPzlbb+Kdbzaq73aq70agD+jUrt7984w1hGFC6cilgBZVXw1mLPFzxZvcusDv2w3/HKraL3hxKy4XdRpIm5oFFE0dJy9Q0xw2ypuG5V9WuvzTm6Iftk3wL1aq9GV9UGuJ1DWk3DbOmlYlMydCfqZ6zH4vFKQyaD5cwPe9oqH1/PYasHdoxzTmsKk0nh5dxF4gqplFCG8dtMLOA9ZGuADUlzLf0z+evNoiznYUxU8TtYKiKTp7gZRCT580N4iId8EDyN4vNWK5lEfAcflFAKTUlhPgdXOLXM6FDKTpkG6nIERtq1oRmhUPYISVJ/FO11EAC+s1sxQN3LVWzO0o6VXfa3arAKg0Kupi+G5uTc//h1zECANYPSkd8Oj9Zm348Csd/fu+4d7NyhIV0vQDcAdzCiFNXPC2s4VN0IKmusHmHPMHBxJkGRwhS1fg3slDRE2sEnhWlEu3HyK6McCdJaV7vebhlsY8xMuJNICfD7tZ6pY8CibeM0Jm1FPGsqkLapcAckSRCCo9l6KRA98P0nkSgQ1a+aQQK7QJQBlWLy2zMfqkYddQViMUCnzkSGy0JGQNB8b8SyaamN0CFiKZUSC90pJMzOM0+b7A+KFDS0N9b0UjzZ6jlYV1FAmEKrvMe9GoZWRy61WiJlLcpvnUjAydtsrVLh/mtEZEblyGMAmiiEsJtv6XEOQqVJVRFBh+Oevv+FsHbUWwBhJGTLJllUFNy2+VpA0tVBZTFXGyzLkv9+2isfRUl1xGCO4CRzB92zTla5Kp1Itig7AnGJJZStNCfegi/6rNi68xXWDmv+/4H52L4Bb0FuDmUd1XHSjm1F9Mc4Up7hl1PrVXu3VXu3Vsv1hQPJ131g7IgDIOSbwWL2lz1/82WkQni7wYLl7EbXHcSR1RUDaSDejGo1IJtRHlev72fD5OBfbyY0RN54++4nj6NDKkzGoLttenGJl6aVbvaUAkjb05balLC4tQ8m6KSiC8+z4+vYFvT0IpmxKZDaMBBihovM8QKw/McFHeLwRHlmlcSw5XtMzGVGT+Gx4iccwHKNnAn4oUUVBvilTPBM/w+iOYo8xLgNRc8SpQwJCxmE0+JdK6R2WxuO+bZRY1oK3WnE/jhzjkOjsjQZNrV6zBDMfY6/0jrLWQDxbqI1NI8MwQYIZUKpAIs/Dx7WDOTRm5km8boM4IglmSxj2hhmJGi1qM5D2kogVoaLGL7fJYaRBV9QVpSTn6uIw9WgYjd5ZzI7z6+Pj6zijcQ6eSikoYZxpJKDD189SzM6fcQINLPeI0ZNJucmfRzSLa5M0I1wKCa4tQFT3jTQG+1VLYbKzwAUw/NoShrpMMBKddGM67hnrejSDeD5FSeA1gVN+HXMMYp/Qxo7xXTf68veMBFJqudtIkBl5VgIWCQUYYRIAtgCgKEwIz8GK+2d1dQFECSxPDJgqZElS72Ok8Ma/vb/RgdAHRj/xtm04x6z9cg7maPyyFeyq+Gx0GrSIakKmeIQq+tmgovj4fGD3OlJlGKMYno8Uay7WmgBo1kkD8/XQene1xSk9XnWC/DFcOCByvuAqjBbAa5kH7+fn2Twa61EGBzPwPa9KR8fwtRYJ9X0Y3vcCjI5PzyMJZavBsBvKptDhUVwHrJkbhZj+WAsLeLE5Zwbg+/3E226p6Jh70vv7sJ5rsNvADdv1nfBqr/Zqr/ZqAP4EQHL2Tn4zXG53I/G+dTdEvIUh1/qSIJrv+/hBeJP4u7M1nL1BINg92bs5Zz5PKTOYG3HJY3YjIr2Y4eVePIa1qlOIlmc5ehq4P23+89MjJG317BkTJ0WBYaTWPM4T+14wisvygh7OPoLb/oxCphklEsUJBVLp7RMJaVWnDmkYebJElxaT0g3bqHK8eoX5UXGvHjnuWy15kLazx0cwxMGH88LNKFxgAL6+7SgQHL4OWGdkerxDkSqMiW3b0fpJY711V98CIJoUIP7cZU3DY+3T3d24MF9LUbOk+tiVAKhufGLMiALEDcIy8zKi6J165KidIxXB5urgQhUf075Ul17HNUFr0LgchJbKhGQAVzW2p+vnv3JZWAKHYZHvMuVzWeSzZM2QDkbcjrMvidh+bbsa5zTCkHkmclkTxuRum2BoWVqXPXrp+9NfAa83EUDRQUAY11Thi7WyQqFZDycv6c+MBPZEJtumCfTZ12nwhsjECr7m2EriFtYgCdxhy1TYrDFiU4Uu5hZgfYwwjkvlxQmkkSDADF65PfJvkIB9GRZ2yag6puwYhRdc0nuvlUqEY+Cznbhtle8BMI/jMJ9343o5jYIRBjoMamHUOJ73s7VU8IqAy9E77r3xW05Z3DfW0jBEMndPnKYOssw8r88BRoIDM+zbhtPafB9jKuT1EOfw90pRcSEE7tshgvPgu8j8XRZRWnHgT5U9xs/N3/tH7wRnkdMiA+rV2wlaBkqhIuT56J6DCADDdQe8rzLpsXw3LueKr6XPgxFuVYGOQaBqhgp3dlVJqefPxwNnb3i1V3u1V3u1a/vDgOTeOvbKug2y1p8APcVU2/HEZOc5XUQ8l9CDheW5/t49sMPmt8LTFx760ccsbBY3B7LIIm/DHx6tJVi5KPrIs1k4W3gGoz80TJ0XnUY+cyva8IN2DHzeTxogTjaO6t825oVWvX9GPjQ9hFMt6Wr7hUhAGFC29M3kKpEahkNEkiT6LC4Z6p7+L+83bKWgeYVoGsFOs7A+ufA2pU2LG5oG0nM6aDRG/RX4NQL4qAh++/6d9Qf2HVCF9Z7FJmHAcEDA3BoCCwqpuXEIcVlhH0KJpGUa2KUqASuA3qiCBjhgW5LFY7zetpkXUEBKX3hvo/J2zECsg6iwns+3rNUfJ2z2s7i877Cl/zrBTgCyC3A0sNaKR5pCXrYq5Y2janQzUCXN52mEF1lWI3yu1QCNAiR1bVICvS/KnonMvbnuERriyFysxW5DdbBknSPXbOZPGAi2w2iNhHiZw7UAnmUoYx0BqaQVeTMJev355joPMDIpf4aZcE2Hud973Uvrw3gHzPesBbJ5GsfhBnzHzDlKGiPm3gGuTg/zvteNEthRx2LoNMJrUfyyb2h94LfHAybAF1XsteAvtx33duJ4dIoc+Hr/aCfUq9XH+6214WIXDPk1l/cGDMdnyzeiISqRe55U0rCQRn/MSd09eX9ZtwLmjtxqIY0p3nc+GopQ7ZI5Hv6uyBwLFVLNNvVK8CBIigiVv2e6sK7Q3YFL5E4VpzN2r2XEKJIDSafY3UqBFY8Ci+eaBCz2e0Q0c7YnoB7eEr+uCIUlYhwLIq8y1g1e7dVe7dVe7an98cKI7vHrXiVbRfG2Vez7ht8fj0xsmEmaMj2sQBoCyxWnexVw8ACcj54/Gk8Ge3q0VqCxeOPCrgDmYRpGCg0WfiKSldNb+fSs8d0+DB+fx8z9iN8PoxEXvGGxNNAlxsojOBJykW4YbUFPcnBiNnB0Qy3isr2W0Q6pzIgoCi/A5s+YXPocSSa3iie6Loc+bBrTNKY6TpB/XYReyig2VlTwy23HPz8eqJ5HAQB14zM8emO+gEvztnNQtceVzwwe6fBIRR/A8WAxyqA5lKqAAl3J/w6Z3+CP81EIRtoYEJs5FVEpWQOo+LqpOyMpIdcctWwyggF6sTdP7KiqMCWoDq+7GJLLDwsp62mYxloJoYGggKytt5E8fHXLcNoyc3Um8BUsVC1fow68V7ASoJGKbMPlX4cbmlOhzZdBGuth8KlTcRZF1KSpyHKPAPvmfMoJ0eZ3nmsrvNeCX2rBY/SLWtwAPfhRsXsqGc29Oq6XmkUqA7QYo7FRBDJuvdqHwPysaHi2AUhQivx3IMDMOcayT/1nY5iLJvg8GdDO7qBjOjvmdzEHKdaFLUD4Jy0AgzjIOs+e91MVvBXKandEdKmgihCQquDjOJMu1s1wb90jIoLH2T2nYeBoHVoE5+h8DQzgHAfXmBve8V4sKk4x1AuYDOVALYpS+Yw2DI920qD3MYkcNEbF4/uWz/h2qzn3URslpZp93RkWamko3Xm0Ieq9xDtZi9eKcdBXoJBaMEajpPDy/jOj0+g+zoUiOQF9RPRzPEBKV0RPc6nFuzf+PQxalXmNRnGW3giYTGb0/NVe7dVe7dWu7c9Jag9vufHf7/uO277h9/s9DZrQyhedBkQaYHiy4ZY3/GqorN+JhOPIDzFcv5OXygtML9b1ft4v83yCeZnF4KLBGc8wzPDpSYzPYxFJ4QJXprLuB7p7O23xuBnS2366oSsqqLVgc2thYFLdwgPc+2Dxv1IxOg2R8LBG8bxIvA2jP4yvHAP/Y4tk1FrQQxEM3p/lue5nA4wJ5lo451stOAfFBY5hKJ5osR7cWVAOPNhVNXMLvr7f8P3zjmGG3WjMb0532WpFheDb/cH6Ip6rsaonZb0WNzRMJAFUzHEpAjlo1ERRuEiMt2F4nB2HJ6eW6spuwkKKq8yswNWTXOknjEtVQfX8gdENYlP6Wp7WYy7BZS5ija3rwkwgBSkXWzd1SpUmKDEjlQdCw3wrBe9a8f1xd3BO8GYaEZAFVcW8GiMV6RPIhU9jr5snEfsee36eeKbM21+M+luNEori64b9FEw5auYmPQGJNIjnjVaVrIhqBrhJmWLI0+DmF2jcqlxfAf7eqr5nm40cgxyuuKw7APIdpEDxHIveLYUfYo9zXfjzq1M7n18Wy5QIAoDGWLN/5lQoBefp0To+R4OK4Mu2YSuKL7cd//7tO1pnfZK/vt/w7Thx9oG3fee8+bipceRGjJktRj4M+82jhcOBV5Gcj4jumAPYNOLP2I8EGX0MqAm0EoTdz56S3QGIr1TVjHvzf532mhEtBUQUqgarpNsOH3fzZCKBCxsMZJSc+9ymxG4sqed761xPiDk2j8b6uTZ8vw2EMIYsoNn8/6/PdY4xHQLKsRie07YWPH21V3u1V3s1tj8MSKpQRWXbN6gA9+PA2Tvaw2kvzvcuVem8NUOUUQt+dhj9zzSG/Pt6w+VzccDFP2gAyA/fF3djr/zw9X4l6BVjXA2zpS+TyMADaa+F0pKr19OfJZKWz3MgEsIx3HtWInfEDbI+qATml1FMqdrqhcTOSBb3A6+K4lYqBgxbKanY1dtA2VgD5X6f0ZuoYXIdD3gEomOvlFTu3UHZmEc0DK7chJSkjTlr7u0b3bLS/PZWoEKQ08HiYEVZAK9oyNLSuD1GB4QV26N696YFb7cb9lpRhdEQG8bq8A48VZhcbGbobQLA0bnezA3EMPr3vbhH1VAcxPSk+7kakhk2TJWtiJZlLsxgvgD/PscyjHAVBwBe6W443SWWBaN24QV3o3OYG0jTqKGRFHPN/pUqaVSLaEbKogMmgtMGjs/PNPhSyQyu/Aan1bm3Pha6+L2R3bD8vAGeBzbpjcuT59+HR366P6BC8Hl2oAK7Ko7G/IHm36iq172I9f657CYoWH6+bs0AJQkW5gDDnp5L1u/62hhGFSQF0hkQbdjTF3zMQlWrFHGvO6OgM9cEKbbg1iuw5F4tV/Q+R38IggHm5XFt02NflHN++Jvzfduw14I3L54oDkh7Y/5CrE81S/n0NKIdjNiIvDK+k0LQAghA4O+9PmmCtnYei3yuLOPrGyKAKEBnypYKdoLnoYUhlbva6TWbQv46X3vcV0A4ROiY6YgcpUnHCpnfAO5rv2VdFjLPD8cz2efhoCQoeQRkhCQpEPF0SGWemkfEmy+KSL43YV7OC4682qu92qv92P6UwogmwNlOvBXFTSt+vz+oJEKiMEY33GrBbd9wtBMfj6daH//hN7S5fPBUKLqGM5DF5FYP5w83eHKkRtEsu3xkcsbXn6kgI0JpVPhfsnCee8kz18MpRSERCbhKlXsn476lqEeQKGNbFF6QzGsVeI0UE+AxSBnZKqU+Px/NvaGke7TuNI0s5igpY0m7RNKA68MWGVv39sVAhXEOqmyxUrmmt7SWefD3NqAHk3tNgOLXssv4kcphAsjZOI5Gj+LX2w5oxXE2vNUNZoa9FHw7HxnluYgjAFN9TWSRgp05RwlQfCpbqvbQqGHfkYZI0IJUBf0Imsd1nV2MY/++CVy2lZGHDuajmAOfIiwyCZl1PJIeuK47N4xsSYKfOR8EYyKG4fKie6m47Rs+j8P7j0zST2PKDa/TmMwL4fMXASq4vgQULwiwtO4GYmFGpATzedcBCaPUfE5+fzR8P0kP0qCrjLmfuPSWLC4LjBZACz+0xCcrgAq7H6CQAZCGayzxkJVND/awnK9Y83m9i6W8zrPngMUzCnB723CePZOsVwnweEaAxSMde+ejrUaxFk0KW/Oq96KSHvpaFL+fB0pVfNl3RiJcae4f3z4wPBLwy/sbtAJycG0PM3weDSJ0ujw8mdqa5dqrW6GTZOlb/KW14Yp4gueVugZaY1zF33VjMDG/N8Pbe6VctjHfw/Cc42bzuwDMC3dUL9oYC25dDup7l8VdDTbcwWV2GeSi4P/4uzMiafGRKLorYI2Vs83rrLlY4aDovs4jopRjoXJ5DkjUkzI6XwrraUkR7F5P69Ve7dVe7dWu7Q8Dki/bhuZv+EfreAzWhQjFGRiLRYkZFUbCIEqv5/Jif/Ii/thkOaDm9eO72Zbz4keDj5r0UTDr6LQURo/kTUyjXJ46JYK9KI4x8HG2y+G9PgMgGWWQpdaGGZJeFR7iUjQLpmXBssp7blpwqzQYvz3OBDwDTJyt4HNUAe7HpJCFKk14+aJFHkF4SaPvfvcEV2JMwC6eW7EVxf2gGMBWiht/bjz2QQ+uDlc7m+NvxpsGcAjjuo+Bfa8oqqgAjkbKVOuG+/GJUhT//PhgQrZThzLfx727QY8LEFbKjASEHLKJ56DIrJdTIhrjrWxU9+pndw57eJMJRp5Bbxi/YYGzqOLTWhN6mXXMiMRexJOV3ahxQzg56ULwqUVRuuGBDrOB3jELzzkCimUZikf9HhHHyc+HIFXuJIxuzDk32MwzEUY1akaFeKuoH7PunZmbNZO5AbixxnXLcRYEVz/yByJyE8G+KSkRS+bqzX4GJfm+WMHh4BzXyvsFkH72jC8P7gCIAGsrmsnb5kBm2e4JOle+mvicilkqakEYgTqPEyiC2169SOcSdf3Z8xgje6PIrIsDSXohBPjeWwosdF8T/+XvX/Dr5x3n8L0+qIb12U5Qxrrio7fcK4cDnaA8aRFsm+ZzJcgOYJgUUr08frSSg3N9oN4N/ZyrprWBzXNZIucrAoy9sU5SghEgKVSXPA1/vpIS0b6PVLCp4OHvu6SG+Q22UrADuAH4OE48Wp8bUJB7hfl4AlSCoIiC5Brz8QgJ5GdAQXEPzg1VHP09UWZeTvT7HAPDXoDk1V7t1V7tuf1hQPL29R2fn3ecNrJ4Xob+/WB9jHYpJhYtDqL4LBwEXD71M4Cyno4LQLkYhJgUkzAqRHiA/Zfbhm/NZSEtEvJnou0Iw8WWUD5oQB1rJfen55kA5Wr4ATTyuw1XcaJX1BBjMtFTeO2sA+foOFrDbauoKhhFaWC7JVP8wGtj4FYK650ELcyLNoY3z+CyxE+oLwzVMHjneS1ZT+PsU6a1CCMwqoxStDFQ1JNMPRE9apQUP5yjYnFrI/NwAKcQeS2Z1g3HOEh7GoY2OgSCt62mUSxuDaojAwMgA6iLGlYYI9OL6etCQg3KLs8dVDoIjQU7GWG4nz09qjGXYWREZfIwaNKoDiPY3KMqkYhNt6mKF9X06IWLfqXaUJGo32KBimlAyrLkvU9aqGzUbWRkwMTreiwAaRr89rxclzVrU4nJgVsm90LSSK1bpcGNuP6zF8CFIQaBXygOxW0jkhD/jlqp0b/hAHZ1KOTYO8AMILrgfAwbGFay6GQa3fEeivdBgim/hREMx/rIRbUMdQIS78h1vhdsJMwbeX/fk7pTXUabClSCiNzE3Ir4xjBSD1FnFMmG5bMYSBcUA/oueNtI1fp2HKRsHif2yqT1+9EgAN63Db+1e0YNz+5qWmZedV2vz+uD0v09bQsKkVh/vq5NkEIF4utA4OtvY5Jga3zG82SRx32vzPGweC9M+qrBZqFCmd0q/j6BcY8/+aASkHJICVh659pgDSvD17cbZHRstVCK3mmmMa+laq5JAn+ZRXwhcBFfgiEHFxRIkIw8ka4pGM34bhQCUoqaLMvZ38n/omzPq73aq73af+r2hwHJr799y4ToOEyKq510m6Z8goTVKpLEE0mV4Y95+sWZePnKk1fObH4jrhlAIEBJVdYxubvnjoasZSJ5GBa/7BvO3nH0gbZQePKyhmlUzFvl96MP4aGfnZy/zM8KoJXFuSLxMsBEHNjmzz5oidEQ99QQMUn1KPVDcSsFj9Zo3KrgbIs+bdpCln8PGeLVdGVCumYOxQbg6APvW0EfhsfwKsg2i0kWgPlCIhePf0QBRABTGjHDjJSixYgWCPro7IswmVcR1KyOTQuNzgVcuWM4Pe66rJGMNPmnxZPQsx5LAAm3diLPAj5mZ5tKWjF2KiEpHBZTDCjys73xz+p1ckQkpa8v0anBC0ZEB6BdGlSzjCp5H0nxsnzeMBB7zKsSRACC221H70v0DtPIzEV6MbpnZC7kX7vvn0iyV8/R0QRXC6BddoOAzx4y39EkPyfXd8LSuM4NMqbHfN3TAfTYkfmOgDDKNcygjtVpOM7ozcj3wbxEGKTic7KOi8ALHCrzcyYYnH8SKE7FMjMBdLh0ckJ8eswrMk+F1daXDsT2NE/wzxcUnRbDlbNGrgNKl//v3745VbZjAOhiOBs3xa0WVEXWl3nfKto4YWNJ2ou14VXNYSHzvayT7msYM39K6qxUP3oUJOXn47nqXgAZngMz3/vt4L9HZTTnukrmezGASfw5AeP1bIDhQkkdHrHqfaCdA0cb0PPMvVSKoC/KCyvuDapvLYpzDI9kx/0910uYC1OrgiIBsS7jnRJnGR0Ptt7HKOhBsYoXInm1V3u1V3tufzyHxJyf6/8UXAvHwXBR1no+3TO8rXJJKgx6TrbpIJtfF/wAUPgrj5f4YVgKqQkilMR89IGqrOzcB3Md9lRxmlW/g16mCMWoeGSbXsGlfz94V0PZB04NWmgYcfLOGI65d3EelDaYo/H98wHxGhZ0xgm+vu1ovVPJxmur9DGT6IurWdVSGJkY18J80/AR3DYvpgcmyYcK1qaCm9Lr+P1+MsK0FdxbQxHFpoqiSnWuMSV4BwzbziJs1m0aVuLV4ItmP80N4JDZHd38O9N8VBVYD8NwATkJsmaBNVjQOyIy4sZQyB7HdClg3T/P/4kUm7lOw+YVYNtKGldhIYX3OqSJezcm0AMwCJT6tmHbMf/ICCTUkJXIbRiaW3NVWaCRamQG80KaAD3AJSrUD6Cr5wIU9ou8/XbZKJKb5bo+ly2UogCXx4+dZMBpodbWaFTZdCLkdWJs/O/wdRrXUuBCB1v7kFFE/4xYXGN+MlbDfK/Y3D/+s2ERnb3mKaQjZEE4AerMxKt/Xx8+KoyHUQzDVaFpfQj/OWlcIPXLr6fC909E29Slunsfl1sSeK6Xn0AoQNa2UQEuik3eapnVywX4Za/4y17x6+eB3jtuG/MiYAQuEMC8ZlO0SLgW496LKu5mBovcGL+GRvXRXE6WeRVikrMowneZ1sVKX55xeELNFlHiZaozKGlz7A3INZEiIQ7sA2wHeG+tMzJlFMQ4W09hFUqfr+IFU2ygDUOVqRqZ0VR/N+0bc//OxlKTcQ8B1wXzqyZIXp8nnCFajGD6J2fWq73aq73af/b2hwFJt/Cc0rPO5Gi+nFVIg5k6qPEtP0FtehhFBBXA1bf7dEDN9/2TQQBcTsrpTsuDqS+Fqu5j4E0Vt6L4NHr/b+6x/2gdYoIvt4LfPw8a3qXgszFpPI0DEbyp4qON2efFmxf9LjoLOJZN8XhENXh+IB5jJiEjD1gBjd2QLKVxTE/fv/3lDQLg//r339MD2ALMuPxleC+jz+G9y74K7/tofRqXNqV6OwDdFH9/3/F/f7/jHE5JUMH7VphHAs77bWeUpA/yqNX7AfiBPGa+RgxOeH1TjtcjGVkDRJjjIybYZBr20/s8r6HmVApwnEYPL+pcT6yaPutEKHCpmG0+vjGPgiktG/1ZGz2oljLLGhWnebV8VnGKV4BUvQYOgTAAjTVaIloo7naOWg69Dd+xmvLFAqcxhaSoXBWiwghMA38dj+XPJ6wyv+//Y0Ljs9tIPF08atctDDcHdxK0lkkDW/NPEgghQEZcV+bP7XkcfLwWPCLwpHwn9YmwGF+HJVgUUPVKoJe9FU8sKkmPujzvXBDPI3P5DGu48HMSoCLEIwwYOgF0DL8UQB1oVqcMtbPDWhislEYefXn/ATiOht5Zr+fttjlljwb6262QtqT08H9FwXk2Tw7vlIv2+w+wCGjUBQrjOyhm8T4xAfNBfMwZEbkuozDmyxq1inGXoGE9jaF/7BwDmydgrWtD8yMzBy5ByfLiL8qIh1qsFz5TvKNUGPEUQQoYrAs7vkMxETpV+jlBCoGk54n5PbfCQo823V7Zo1IEo0lKOBMYxxrkO+SXbbs62l7t1V7t1V4NwJ9UGBFO/WHBOmD3mg+lUlmot3mo0WDnwbkVV5xyladbUbQT0+oIh5wtfw8D+4eeLC/5MEZckas1g2Y5anqym1BP/+be4agD0Zw2o410i70U/PJ2w/37ApWUhec+B/BlK7j3gTYMu3tVH54ov3KFz6OjK6U9zzOSaJH0B+uUiSx1GrdZ1RsOHvwvIoLfPg48jhPtqUq9IGoLsNo5PaT8XXCyg45jYG0NCysAQW+hLFBQj7RWaC0onpA/Bguv3fYKGKl5UdgsDdPOvIR9K5m8uivn+2iU8KW8saJbz9oeQfsCKH8ahp4AKXGchQl9PPb08NPoOLyoXERMwgi93WhwjW6e7C7QgoyKhfEjBVmgcrhkaRjagWqHWVbi7oPUuVI9Adi8VoN5DobP3+o177hSiNzNjIjIZA6UIcfEzHMJNvYlZItjzVdPQI6rRt2bi2N/8dzGJnumzgC49M0um21S5kS5//dS8Pb+jvvnJ07zWjai6K7qtNeCliB8vVLU6hmXvR6qYKQcSSjn+vNE8nK8FGbvNy2ooigARjGcNqiotayBKCIZIEk5Ici8CX9CM0YGQgErx+4C9mLbXNW3zBitHN2odNc61Iv7xSKIwp+9D1KAyqyTkhLfMXceDYjIBYxR6JDEroVFTN9uBd8eJ6O/HuG1Yeh+jTEG6lZynPmOVtTKboVYhThyEQhmOVp+qXdAywTnYdT3YahP9E8f2hzXKKQKhCAGcIyBrc5k9ei3yBSuiDUswvdn7PbR+Q4ZEsa/eHFWc4qU5H5fi4rGYjMDFQnBqMpeSUsVA6TyOqUqaYg91rVklDnWcDx1RMP6oByxurCDVgpGxHflldP+aq/2aq/2Q/vDgMTMUHfFVjbczwMVns+wCT7H9E7Bi3wxobKg6tTuf6sVR+84spouploTrg62H4EIFsvJ/+kHOlVi4nu8oIGGco2IiXAQul9oV8FnY6E/VR6On8fhh6obHs5TuG0KE1ejMsPRRkqMwryQ1oJKbBha9hE0piL51uV+e9TScAMpAEM8XiSy//rBopNRdFFA/v2bU4Y+Hg0t+OGy1Fjx8YrE/aQmudJQF69p0ge+e67DZz+y7kcJ6lgYBQ5QTgedNgzSDFZIe6nKynxamXdynuTZV1Vslb8/zu5zPCvVZ0EzGKoUDBi+nSdlUJX/7jYlesXHVIUcegOVyEyQ2dNm7AcAKHRKCJ9jqV8ThRPFK8h7FGAMrN7Z+E6prEaP4QCiM8oRnu7IbYAn5coyB+FBNY904MJvt1z7hiVBG5LysunZ7xFFmMUcxa5KRetWuRhmC9BK40qePv+zZoYihbUjjAp6wwaKgFWqPaeIFeQJl4swmiI+zsNmEUnFNPLiScMtLkIlOfPxWUFFFFwMoB7J7sPnIpuPYwElZWOuA/CJCE4fhBwHnWIJ6/slhifmJuYlErTFBy4UuAJsJ8DUkKpGRi7V7zW8loik534B54AbzIYD897nGBgN+MsN+Dgb/rpvePSByCB7HM2dHLrkvPj9l/ds7+bFELkHCgTYFIfXQdJQe/vJoshIicS4zJ/znT4HTxxgtdOv+6XOPCVVVNABEJTOdEphEWYwpwqLK365c2AFveE0iPWyilqsTYokeBDnUgawZE6dYIxwLDjoaCxKOimcbFtV4PTCjQbKMActcAAPGZDxL3fVq73aq73af9r2hwHJMPc49xObzNoHH21gqwVf3jb88/sdXejJ24rSCHQP9ZdacY6BIz1QT/YSFi611/OYv/OfD6y55gtHWNIYzdwN533FudXNgOJfHbOi+BhuSAgwlpttnmvCqAQSQOwi0L1QVWYMN57MQZcbASBwAGgQwO+xFWVVbJ0V1oe5DKzL0AIsUDjGUo+kkP6TMrRe8+HzmEURBawvgTDaF0+wAJefhd0wXB5z82Jl3882jWDjGAwzPA4veBf0KJCW9bZVPE5WlO6dtJLiQLOPgW0rKEoFrV+/3zMqEB0Kg3FEtWObVCGukeEe2VlYZXoqCQJHuEA9QCSD1biLA2Rxq1GUSaqj0RsaScQxRxb3RADcaaCKcv76SalbMRBwLp+Hf19DocDgakMjQcbqdl/pMPE8QQ4J6th59DSQhwF9ND63AejT2FXVjDz4A+HappvXnn58jYr8/Gsd5MZLKTjbmXNloCNADNiLr18fSzEkzej5mvoECsOAjwRhx83ZWHDTkqo0wMjXrRb87e0Lfr1/4jxb7j9Z1j5VnpTRl+HUwwBMMWZliW4BCXZWr3g4H3IGfS3Xoq76NIGsqKtO+TujRrFYwPNDgFEUcvakZsa9tEiqlkEYBZVQlxPg3Qu1Rp7OvXcUeB6PhTx15MVYRkfW8TiPhv1W87lDNrqUJVJiyDnmQ839wKCHpSSwcfP8uLbM0I6eEcl2DibCg/tcfaJTcESQ+6n1nkUP43opJZ/zMSfnopSHWV9k7XM4UljolXtVIRhe4HSCkJb7MJTtRCVpceE42nfm7Z1tuOy7YZigCuWDp7Pl1V7t1V7t1aL9ccoWQMNIgE1Yr0Kr4N/ednzZKn4/Oz3hRgUT8UO/meG9sIL24apGPDtpgsWhcqGYhNGKyU/O79n87OVAwlILZHEBq5J73Ppgoindcyg2DQgW8ev4GEcaKXG/LZLi3eO7kWMFFEHzn/8Qz1n/GbbpMC9yCOylAlU9cZLetl0VkIK6VeD7B5pnvoYEZUj8AkDHSKWcMNKyYKCflmdjEjRsGY85LBfj9G0r6DBPBvWf7RU3VTz6wONs2Z94vjAkS1EcJ2uj7FvBMBqL0Z8v+4bfP4+srSIgNz4qOsfcl4h0+QRGRXAT0uaqhHBAGP/wP/3f/oN43H4M6KYwB1FqBhnm1JJpZJk57WoBCr0zV4U1HErSXkSQNK2scu59BLjOIs+5e5+pHJYpvQsFaRpfawuhhdY7aW6XWgiSxr4gANdEIuvW+Ve+2XXr0Bt+5fZfHAAOrMYYVAzyIp0Z5fLcEhHMSBZIW4EKE4/dOI78k1r0spZs8Y7H+Fz77tGgZZxC8vnoHTjuc4x8j0bogUxOVwVTxQlzFTeOgCyjYY7OVqGMBT/mmMVfxAGOqNO2fN/x0QlCbNBoL0rUZsPpR16TY1KboieG/VbcK+8RsoEEIyIEK9/biWGGfzwerLGiitPpizGfsLiXU8j8xTncox85XDHaWfU9MMCyHCJqQVrldGiEJDD+VSTAgKQogvuq2AQLDHB7MdGkbFlMJWuulOLUTAeqPuYpzbsA4AAeqxDJsmo4/hIAyFyxkOINw2bUOnL5igisSubwiAqK0ZnRPJIanw8AKaADpYiieHHcV3u1V3u1V5vtDwMSdR65gdXDa6WHXFVx9IHf7wcgyJoUw0aeCPfecG/XNPayKfrZ0zA9nwze/KvIxVj6Qds9T50wzKYSC4xgYivOswYyTwG0mdDNcPbOhGLnocN/XkRwDB6SN094fDhnPDzTZkzuh00jeh7iS7f872bwqsqz4njrAzctAAY+vn/icKWckDF+KwVH7zgljIZQZMI8EJ3EHcElEcxiiTKjAOxc8PUNJoJvxwntNG6r54IApGacPYxQSeAH0FiI2gNVNeuO9GHpcTUBvj9ONKehRBRgkwIx5sO0Mehpzan0+gUyjQwY54PGr1wqnwdQVqdKeZpCAtGs3h7Gkc9NzPeKas29ycXpZRURwTHomN7kMGg1q9d7gq5IUvkMkQiNrP58CVk57azFM4jTmUAAENLJOTDL7imlZC2dAEXrJ35qHl5AvDsDdO6tNVIRH//BME/nAP8nopEhRx2U+/y717NpZrgpoxRtzP1xTReeG2YFKHOimWMU0SOAUctvRxTBmzLWURci68CIMG+gdZwNmatyGRMkLJnPv/w+Irrm/4gaJNG3FeGHDS6+T7tXshcDzj5QZda6COfHCn60auYMibg8thegvXuh1gBa0b+zG8o2QXW0UCOLi49QinPqZeRf5DLxZ9PiYg5L5BdAUmNj3ZtYVjBfRMdyEMsWam10ePTG/BZchwwhIEJFOss9pWBeFaNnkkMNQa6TeI+xYLskjcp/md0xMGJ/u9WMVqNbAv/u+X4xz8NwkWgebaCWguJCBeGQCWCkyn0+jPlo2zoRr/Zqr/Zqrwbgz5D9FRr3ZoZf3m4oRfB5dPx6P/D5aFSA2SsP4KA6ufcz6Exm5uo4AFw/vzrdJOgdqkpKVRi4EfaOd7tzoUOhJoyFuJ+K4O9fbni0ju+PBj9TXamFko+ng423rXrOAGsB9MEiW2UxGNQ9eGaGhx80h3il4k7j+b0WtD5YIRgzikPDVxczh89RvfDhCMPLBJ+ulEMAQF75Vsnd//Z5UgXKwRuTvknXKoXj1TxhPNS+LIpz6aKC4+Oz1+IG+cioVRTqS2PfaHyralYG5xkvi4HG8R/GGjDh5VQf61lTIaIpklzwiO5Ul5fdVHEMLyiZczxBjIGRIZXi/WN9mVC6CbvKIsF9MCq2h/EDpMEd45FGL8KoceCS4GpG0SyA7riCsqhXEnzxWMNFaESpo8BYD+y6R20WH33Q3s4RORkX3673dHpko+fEl7OPTwGXNPxiHJcfzesbFmAy+xNguZ0DZVvkcdfm8x9iC0UlE96j9cGijiEGocKk5aqCo0ekD1mYNArxBYUuijj2GQjhn8NcAYx5Qu/75sZ5n/WSwHfLvXXPzzCoOGVy+PsDSOpajGmM91VGOB85x2q4wyLWKtw4LUUIhodheJFM5h55XpJMMYaIiq1gaC322JphnAtcMuZIBa3wfrQsJpn99vyQNaScdWj8fdsbRRq26hLdmO9SAFANSuR8cOtIYQwRZOFX6VxVqY7mDyICiL//16iiPA+qTAAfCnTNgDFYX2RGyv1Dy7yoOwLgeXe1CtoisBKfi2cLAHEcpJtWV/ZrY7jK34TJGYE0OltOmXW4YMgzoA1SeIsIpIC0uhcgebVXe7VX+6H9ccqW0ZB8v23MHWgNn8eJx0lqydte0XtnRVyvRD3iVHLjU2QazOIGyDkGvb3hMXOj/+yDnOYeoGaG+vOQCKyipIk1rwYeHlgR0jrOIV5xfNCAB1KxKg7t7spSKsJqv07tUMz7Aq6J75+FAbetYqsFW9UEJPD7qwrpUAG2/PkjZyXoVkEhOMaAVsWXWvBwWV0B8OVW8d0rElf/WXdPM9V7KCHV2vB6IZOTHZ7MGDcR9ukmgo/OxPDeDZ+NoDI8/J/niZsyGf2j96yBACMPXgVJpRhGQ8vAKEYY6r0NVmY2cxWzDb0zj4iJtUiJT3PLsIhmYj4NCMDcwGqdReosClL6MihLxAgOaC41NEQuhnrkyVw8wxmd4BcDlKWT3qY0MOeXnxud1aVjfPppADiPBsoXM384s4rmGgEBK3wej+ZSu9OBfOlb5CPI9ZfTgI6kWiyRE4t5x/Qa/6yF3WVIcAcgn+sCRH5AJbOFwVdA0EnpVP784RRFBXNwho/pVhVfa8XDAXJQsHIvx7NgAn1zgF7coASA44zaLPN9EhGARwsJVzd8ZRb2hGEa0pL2doJQwJPnc5zjvYHsp+WgEwwPn8Pi6l0x9nUjeLLB/WrDZbeLoNRyCbqUyntUl9Eejeu+exZ7qFP1sdbcmI6DogQ/6sncUcAzg9fe6dYNe0HuqXkhJn9bZM1Hy70mWRSxqE6wbnMtRcvLLvvn2eAPUB70sd4HRjiGfIEKprz1BF6AjQnoUuQk3n2+B2pV3LaanzFQwlzq7BMjZ1M9T0QYsWrDa7jwDGE+yUh1Mda6GhgKfHoV98crqf3VXu3VXu2H9ocBydtW8PcvOxOQYbifHUfrrM1ghtO5EOOkUb4XxVtVfDtaHsZmlpSmHYKHRx6KaCaPQ5hc2YZXLFeneawSjIvnFJje3E1YSf7/fDxgAP62VRxmOFrH4fKlbRjeasEQ4OHRgSpy8eiOoFDAICjQUoDeoTCPAFkemsfZsz7FpbkxLCJ4qwW/fz4gRfG2bWie6KwQ3ErB59kAEVcvUj6vAb/sN/TR8GiNkqQGHMf0/tLLyoO6qmaxPSmkt0SVc5jX/HBw8Oid8r6ee/K+FdRT8fsxcz1gwNetwlTw6fVL1MFTHwP7vvH5W3fwhUxCjcM/qF/DuH5gBBy3IlAM3EfP4mc6nHIDZU2HMQHsuVRpXueIz+MyyUB6eAGExcIiev7b1WDhR6J+QniFOW7dgH4SXKsslEHjGvJPZoG+7p76PkjhgJGaoirQWlyK1C59wLJ2W2dibISFko4naeNCQE+2pHH75P51K3Ca8Pxd3PGHyInNTz234Ws/9pVU/bGoYF5mersjasYUq3iOGWEcDjKD4tjOkQp337z+D8SLUzoKimKcw58mqGVhUQ8gpZVjPIM+KF7oYhW6ECCLe6aTI57Nreh1eM2fKX59qZHhe3AdTwGecnssPQPdCw9ybbrjo4eUtsGsY9vL7EoY3kKHiqpQ6MD38xiWe0xmlxATvjroeS3KE0eye2/Da/p4jZ+yRA4Nmai+AhWLl/QyB7rs+1gTCdZynTytGFl+a5FDtuSCef97HxmFqU7lRFKy5tpbRdKiWGxUtx8OYFsbqGVkvajbVvGwlg4UM8PZwqk2wbkak9uLulS5+PtV5vunCyPfZx9TuvkFSF7t1V7t1X5ofxiQ/HIjo/4YDOWHAlXQjAJwCIC/7hvGMHy0zhB8nF9G2ViNF7cbIHtVWGduChPMQ0YYLCIGJOXruUViYnj7gv4g3h8F8FYLvfxGutZtkGJCPf44bXngvVdN7y2MhkAZA49hGAKqhI3lsHcj5mhR3Wy2MYD7cdIrZzTeP44T77WSplQU97NzTITSsgOGvQgMis/HARPg3jqrczu1RUDaFg2uWZDxbObGNcflSAQH9xYz7+VxDpzd8L4XwPNEWgADpdFBJSLypkUIJLQoamEV47N3qoDBC+fJpNZspaT3shTWi2hj4N46vm4VHYbmifmk7+gsCrlYdlWZIH2YU6H82YZ7id02cFqdZQXtdS3CvG5OuDIRcrL8O6M7NqtzO8ioe2G0Z/kOKVGzrogCXpHdPDdC0mMaMsl7rTidE58e+1g3g3SbnylRQTxHyY3FMLK4F3iBiBQ8t5WeBcOkBsbll5oe0/rFRXFrGGAuuRsUuul7nwamYnqmI5coxz5uYZ64LqEMFn2f4ORoM2GeTg8Ciz4GwbZpFvoDgL5cO+RrzedzrWcR/45K5UFJTNwdYAWuXmYcnwgZxdNpPD6AgYEsobc+qIMPjg9FNritJrhrbbBgnj8/KX8etfP5DBWz+HmAm6i50YaxTg0mtTVqqCyLADBGV1obeZ+YeQLNgvOks2GMQcdLfD3AsI9P0BUhPhg29xNpmct7GgHal4WydGuiHsegBjSMuSaW/LgZ3cXi5OHPdFlHMUeZTyJBgzOPyk8HjhgjI5GHFc6hrEG0StH7QCpYZweY+UdVXV1NIreFCpPhZOlLxPzVXu3VXu3V2P4wIDmH4dEbvkdCtjLHgRW7xVWsBLUUHH1kFV4WdcM8ocJYA9J4e7SxHKxRnToMZKVhBFyKd6XUqhvsWy34sm8855zyoYPG0TmMX3YvYzMCkl0F56AM5F7oDddBvrnBC7O5lKMKE9pXc0zcy1k8+fxxzkMa/rhnG2jtoKGigsfR8Ti6F0mjBzhoQAPmBSdZhPH3zzvgVICigtutslBaCwLJk4EXSZnu2QxFo2c6x1ZppHwezFuxYTjdIHivlUYTDI/WcT87VbE2xRgD8MjXCRqjpxug6h7Gow/S7VQhSpWyKop7b4x2gbkfAa4MpDsoBB+tJcVGRbCp4vsRSbzsfBjA4TNvp6GBCm9ucxFsLAYpEAZWyLu6yWjmtT0uNlJWQ0eRNIIsJjQMzjB8IzqQ9+BfVNxT7mulFoGIYgygt07RhDCC/QICUmpGtwU0WSZmR8G2NPYEk6aV+MPSYALCoGS+QmIKw7KK17/gQu3i59e8lAVM2fWrAQxnzRHjOvYkbHWPfnwrjEMDlncBo6XMwXDBAHC/VgV2KenEiHfLXkpGQYZzeVTpKBlmPyhARZ5HjK/ks9ikJcYNMMcioovixiuAJ3lgm2GKZWDiR8M878MTuwOcBYU0Td8BWLmOMYyVxbnvM8CSOTAQrnlz6WFR7v24CBO9h9c7ia4K0bQ/bx8G7QOS/fHnK1wQWUx0WQoBO/nuifVvU/RjHY8cVgdpJkn1Oj0CG9eP80RMLqAh+w2+m0uJ7y5qWyCgbTLPkqCDRq5c9Os4SOPrHv0ggHQHgAOreD+Hkh73x3SYyUAC4MC2sbZLVbzaq73aq73atf1hQPLxaGhuBqsBZ29ZSyM845S2bamuk8nD4kpMg4Zoera3gnZ2JicDyTkvysTCOEzi4BdhscXm+v1pYAF4e9vRWsfoHXtR5qfwdEPBwPum+GwssMXK6bh6vA14dFYT3veS+RQCweHGY3flm92rMT/OjtZ65lNcqT2rjG0YDzSjt405J2fnEboVweGgC0Lw9/vHg/KzCtz2Sj65CGTwYG6NicbFZT1lwIv3USVqKzSb/vH9I935WhRVBO9F0Yri29nwaD0P/QLBBuB0MCJGMkzk/WTl4vQUT094ANKQ8fy6VxobY7CSNnhQ33tn7gm8IBxoTLUxssYEDIyMtEALbuQAONBzTCFB36ElsBolwAStdcnTEU8KtwZYDznh8J7ze0U5zioCiEc/PELR+/SsilIYIJKwi07Q0Jfs3qoKUcXZGzCikCQN2/vZUGzK4kIwOf82o4LpcU/zV662cz40+yzwPoT31j+SUZCfgRDDYpQ/Of8xQdtqK4dToari8CikCjLXKUDKWEDixWtujNzFfm8+vgqvci+Cgsj98EjHUo07Kn7ng/g6eJwEt5EnEjVOViAl64M8Pan4QPFzMiO9C/CIr0e0jdFZ9+IHkPV3AUDH+7YXnEf3qAIpSRx7X3/nAGzWlTFD5lVcAKQD3li0ocoVTo0xBmqZCnytMf8q+gjQyN82RWsEHK0ZxPdcJt3HItC5zmakWq6qW4Mdzjoz8fX4y7I5Y22E9HlMRqzDfFRxkGZUbsyk9GFQZUQCBnSX8+2+/4YZ3rYKASOkw98hpNgKJcqLMrE95ieGsxtk83fGMHQf60dv2Epx0Oyyv07XZZ5Qz/kSE+j2AiSv9mqv9mrP7Q8Dks+z4e22QVRwfzR6gLwgWCYi+iEaHO4KRiAiF8CgGNbxtRYc5smYbkQ0p2bZQCr2CLw4X+8skOcJorKVLLx4eGGqb98+M18jEtWDOyyg4VILDYvWnf7jyCi83QREI8P6fRisuDeuFpTenUakWaSrDcP5aDSSovkpLA5+EqC4R7aqYtMCKTOxt7qqFmJcILBBXlLmDfgBWUuhcSE03JrXIKiqeNsK3m83iFZ8Pu7JU48k7L2UPO/3qni0kRGFqosSk0z5z0i2XQsGjkFlrXMBYQCNbTNGQh5nw14qBKS8xbiY57kUN/SCo99G5KOwZk1UeO820FsYOkHJE+fk88ZBFQI41kVD5CCiBuZGL/KOocyT0ybI+5Ti9CsJdSCnx7DGXRq0kbQfRlBQXJifA5w2x76oplADQEOJUQGvuQLAOijfKhP0iO+LMOoG5vqK2juyPEPkX1CxKCRjr9b3D3Z4rNN4Nv/x6J4gjIgu/Vh2IuhCMcXFlYrOMWbQwNY/uTdTIMBrS2Q/HGS09ftAzru5sV+VdL97Y54aa0Vw7JtDtiiqeHlOBAVQEgBPQ3ka0wD3b4nfPCM0TOOcc5RhgmW4g2YpqSK27cXld8UT+OMtReA2zv40W7hMnwGZp5AA23ABaiwuCGxuwP8QrPDrFVXIZq78xZ+1YRAHTMXVt2J8rrTZGTmJPoYQyAUFA6m8GDVE3raKogW/tzuQ+weLg2vGHoeFyAWfcyuMzFPhig9XfR8XI+gwAA80bDrzE0UZRbMRtbK8UCUYaY/1H2PYhyvMxXsIhtEb3kvNKY7K819uN3zcHywIWwodQD9A+ld7tVd7tVf7w4CklAIb5HqrAF9uO5p5yNu5VIJ5MJgx52LY5NU6kxyfbrybe55EBTpGHuRB7dhd9jYUewBkAjHwg6MVMHrardPVa2DOyq0opDCB/N466mLYwEiret8qBgaN94UbVlRwqxWHe/ABYPjhWWtUXP+55zm9o09W3tE7+oOUln1jEvvjbFnL4vfHAQErAQePPgzTWpjb8GgNYwCtdVd3Ifg7XH74Vjec1vNgJNvKk3rdk7iLoovhdDASqj2RGyJFYJApW9rDT43kw9tie1Q3XqJa9OgdRYHRveq4TuoFBjCUxsetFDyIRNk/p5cMGCIZuhSBdWDbBCpRCA6Lex+xCGFuzExFrPnRYZFczXmJaSH1idQz+BgpQmJXc2xCwScMl5RUlrk2g54UXu1ZqX3x1raZz9Dce79vXk3eJiiPfYLF2bqaOYal/kNEQyw+JxcP9RN2/OFiqw3JdRK/fzKsYkDBfRB1ImKMCdRHerTxL64TSb9mQXERj6JSAFbKophnrO7dBmtoiPLeR2fE7OgUSJAOyEawK4ILNfDy2BHVyiguf9Y7Rz4oOjAj6J5BAVKJMhozl6AZECnp04iPd5Vfw98JtRbPY+M3Rh+eZM7P/WyO1qVeqzotyy9rBjOZiej+X2tjfqYPlBIOG+TeFTDXJBLdVbj3NX4Z8+V/RrR0GZLAXvNzI5wDehEQEGF0AiDY2WvB2XrKxcf6YcFSyfy07IMv6OIR6DnaIZAiGTUbrcOK4VYrRmswB24CTKWuuLa5CqPnbVln/tfoJyAEQbDhRRH5LKT6FpgYjtaw1QIZguNsE+C92qu92qu92qX98cKIIvg8GmwY3m8bWmt+eJOOBQX2Qk/v0Vgs8MDIF34bwd0l0acUSS97MyYNesTfDyUBlMZOJMsOA/bKAlql0LsPIHn3oW5jNvMu1D2TxUgDKjLrghQt6K54BcMl0hM0n94G7r25YUTK1Xm2VOIyLNK0afhNeoV6HkJQKgC4B55iAN0EZ2OU6R4Jkv4cS27lNB4WY7WPkdWgo4mwDsMjCqj5GJRCnniT4RWWgXunbn5XjwaJpSENmUpBY1gWHRvDsFWPsiggww0B73PvAw0El1tVHK2jCiNdj9ZdspdUBxNGUvroDj6QvPhbKWhO8Yto1TBDM8EGBw4qsPZkcBqYqO+JxDCuT3X1MjgwppLbBAUKYZFCkWXMqSAUFJE1cie+XpkLMr33YajArzsTm2duS64Lr5USa2jbdM57PHM8kyFV6ARU/uGvpgEa4C2qpwtCsSov4df7MRU+8bSt8trLbwJXj6nItA65gXMMmdK/GCyGCAdzGb1ZvhPXTsqfG6B9GNCuYC73nEc3DFSMi+gm3DNv5lFELPk0ywOrSIK4iB5EnYzhrnIDIGaXPJG5xiKDycfSL2QwdBOIWEau4mFTZhiAdYo6hDMGhqXI5iowPG+6Fh2sRWfuSd7GI9Y2Euhl9Xiwb0mXuwCcKTaw3I7zHOtdZiSAexSTwgVkRBry/HdecRgY/QVzqQIwHPe7g1iOsAbNNfpsk8IXE2DGsYvrTZDNeehgXo4qxVF6H7DK9znplXBVs5GRzyi4um0RoebY3UoBdkY997KhnwdMligygMfp9aCUFNOowcT9u4aPXu3VXu3VXg34EwDJ0U5ULWij03C3ABA2E8IBfBw9k/zcPkAUzouwey0zwbW7V64ZD5KgvKh//95nbkYU9opiVk0NRSibG4mckRBJG4GqUb2zwi6Uh87ZOm6lkBs8SPO6nz29nVGwzsD6BYKR3tb8EJYDXARf9goVwff7mcAKQiBSqkcfeHZR2tdpaGVwLG47pYjD0mFSp1/jMVD3woRT8cKCQ/C+VXw8zqQLSVgtKsxRccASxR27AUe3fI5bVUAE2g0NrJlhAkjVi9fTwtAQKj/VIvh89OTIM6m/4HRAV4Tc8PA2dze89lIIEpSGQ1g0IwtchoHA+25FYe5prBsVgXah339xbDLxdmlmjPgApGa8uVe4m+HjPGFwFTFh9AeAE8gBU0tp15FgA+kZD8MnchsCsJxjZHFEyTozMYDIaEWu5TAMfaBr5AIta6oUgYyppLRcDl0mkOLPppEUIGsdJ2SfkUZ75Nys4zY9+nNYVpuedLg53gQP/j7wqFLznCABqTCbr5kxGDVdAeSad0W6j49xPrdkZDK+dIk4dUacmCAumcw9QE/25R7wdwIkje341QCldwUBqEI8YdbWiQKO8fkYGFkGMVSXapn9NXg+zBpONL93gId47+mk9PlUJRgSf/bqNW5iPcD7Kco8MoSjJvJtMN+tLSrFY4LonEuVXPfZfG2Zy6bnLR1M8xpBVRSULYA5gUtZQFcCdnC+Ip9DVbCLUz1DkAR8YFvmL979hplsnt2XuVbhc6hSHMQuBV+9/611B9VcC6VwXcQ1zRj18Ivhfj4ICtvA4ZTTAKVFJJ1j3aNHWXjz1V7t1V7t1S7tjxdGBCktdS/YhPSgUCTpYjAFPteESKEnkJ9BVugOrfu90GMdlcIVgncV3OFUGz9p4mwMv2UYUZET0DGySBVA2oI75rLQ4VDBCcMGD8UH51oU38JLp+Ja9oK/1oLvQd3Ak0ET+RzLuMCA91rwGcnaoRSmNLJGS/PLjSmPQniOyr4VvO0Fny4BO3zc4lthREkYnuIV7kHqRtQCQacBWAywUBRzml0YWqWSQgGPTDUvQqgSRjgoe2oAwqAQp8lUxaaC4xzpec3cCBW0Tk/kbav4PE7m2RgwMIth1r1i87yQx3BvMNEjIMDbVj3hf3g1e4ooYEQRQUnDUN1lS0lSy/mY00Pv7Dk6bqVmYUMzYC+kY1DGWryGQJ9rzj3PY7hUtXPfo5BlUQUKf9+GoYqiC5+XBsl13QCI5I8UVrj8KoyuAPLLz5IWtq4JIOdKlrkIGyj2i9n0kEdxuVhTBYLWaaSKxh7H5R6BUTKysURQkvs/vEpIGp0RDWVV9O4R0LdtIyDM79klehEqSOu6L1F7AvNzoV6UanMjjHXS3VSBsOlzBuK9ZFcBgWWp5B+W/8PWMaBhxMPlBOYQUMHMQjkMs5C4BvqyGfV9QoDpQ/e9zWjvKl6AXAMhAhHvpIhg2dJ5gnedc1Snk6f7c50nI3jFaV8RTTNzamSzXG8xTkzw9r7oEu2Jn/s1rtfSpJnFej7N8/lE0AvFNyKayP/RzB0yCKNUPgZb1cw7zD0qTr8CLo4igPNSwfdRawNH72hjyrMH8IxHjfdDEck8saoe9R2ek2hwRwUdcCnFvSyZWFor2Hu1V3u1V3s1tj8MSPoYeKsbhhk+PWnwVhXH8ERwoQf8VhT31vHoI42N8KwNBwTNC3QF33eENw3CqtaQWfDPohbFwOMkeOlmOM4GAQ/UIWMBKeaUJMkjPRzREAklV3y0RpDk/HcYDzyFEIwUKlfZ4q3k1aJN79wA8O/fHxktEEXKjtY6q6qLKH657aSoFcMYHaMb6mKAA9NbCrj8bSn00CqwK/9+nC3H3R8tDZXWDWqCmxS8V8EDM3dB3eDbiqIDsDFSt7+q4PSiY7UoTC0PflXWe6lFMTCwiQADOIyRkj7431bEcwCQdJjihlpzuV94Im/QKAjeaNiUnR74Wll48fv9nEn5AMzVbYJjrtXT4j26IIADHpKZVJh431pz8EDP/eESw6EMxu8xinb0xpn2iEipNGTDWIEXagtqRsryjpnDIRJRklBxWxTXbBowQZcJJSrlBkialwGpMAZb5/l5Pdo0Bv2/WdzPHIBPKlH0kx7q0LFCJhbnPfxzl5wWv3mRSMqeinqhvBbiCW0wx6Ob4ft5oKiiN1yMaN9OT8/jHm9ZnBLeFy4hcxrkpACKIIuUroA+BibGcIKN/7jBOJ6+Y/4/8Q6IfbgqTCVt7/K9CTwFSJBKBQL+vm6eI2UByub7cJjB2oANV2NblbB+eCROYAhR1I3AfZw9xxAFlyZFXMlvSVhPC5s3CIrsCupK0awGH48D474cIyIpvtY7wdqujIqkmpwQLK41icwN/wAhVZT70TdJFNqNOQoFvFhJZoZHa/hSN9YvMktnWtwjHGgBUMKRxKKck24n7lCj4h5l0APsO+6c0cOiL8rWq73aq73aT9qfECGZRlS8nM/FUMRw/u7G4nlDQU9cvKwx6RBh5LRh2FRgDjhMmB9yOP0lPOIGjzSYwRqToQEaLLvnM2xbxfE4ASAVlt6qYi9MDN8LiVjNK/NGArbYQB9MWmy9e8KmYlfFOToup66FMg8uBk/WPPADr5pgL3SVmgEoq7wljWr1hPEi4hQ4WxSN2PZaqJI1hitKKQ5jYbWgNiQHfJ0st0jFyIM2jQRRTaUvVdZECcN39OHV7AmAauGBezo9T4ye9IxoeW6PqhvpRtrWQKgbabouLUBmGLsSOTrwSsqWdLbmBcswuhvHAxBLDz6ruQvO3tMjG4YACxkONIsE66DKpC01a2UMigqojpQdfts2HL0np3yPOi6YKlvVk+0BFwuQCdpChtWGZcQtKEqSKGT2xZYoig1g1+pAZ+Q8huFHylxEPHxVyg8Od4QSWuZI+HVinAIwqC1JyT4/EIEao4zDmENwheOzsdCfonnxt80pZ/ezOXBjcrr5Po17GGi8Xoy1f4kLnsD20+dF4EBkAr2gj+VH07BdojwxgjlxwA8PKv/yHxPsPY2/rJ80IAoIMuIYUYeny8n8fERUYqykIOuxQJAy6JFr0dtAxwQD63Un4FujD9fnGN3QdGTtn3yfbYJ2wAtEBoB2wK8B/gwWCnKySFVLPAOpZ9aWHBDYZa7oDDJ3dhWcw3DbSK/cXfr94zzRzPC3282/Z7iPhqMNVAhEFKpg3lYMaQJ6yXG7dxbd3WrBcKAR/WDAmFHb1ro7UiYQeq6nEpGq4nW4Mirp9+L7FZNq+Gqv9mqv9mrZ/jAgAXi+Fucvh36+qgCFEqwNA+cYuG0FxRS9H+jdsDmPIYtNtYFNhQa7ABsEB0jhWfnp4YUWUTds6Gk928C21aw3cPPDrFYqgW0FeICFxKpHFD5Go2KWkMLVDXgrwD9bVAgmEOlxcBVPancvbHqzYyw0PNvIxMug26gI7qPjiyjeS8Up9N6yrogAneO3Vl6HIVWFds8VkUr5UgicN07w0s9xoY0F7SkpAsKfPfrAI3jebmR3I4c8VIlKpcFDw3nWRmhtXA1BkVTfgnv/mw3caiF464MV7rvho58JPsP7CIMDAMkaNY/OAoFa1SlnpD+d9xNFBG9bYdSij0kj8ydOOkgPb75lPYvpsbToLiNCSfewlH2dSbiC+2g5jmGjqgi0FDzOmauDOcyAjxfMq81HcpX30TCyUGXkWND4dIMakjTEz/P0miX8/qSipK87QUkIHoghaVar0R9AEMv6ij0MTEDNubly8QVerFICiM3v5LtgUVmKnK7497Aw0jjXu5Z0RDQbOHtExy4wA1hBlMzoQ/xu+gVmUrLIHAQDLjK0qb6ECdBWcObmtoOWp0nFFaf8DLP8K7C2fiHWYv7sAhpwUcWaiw4oO9c3BmYCtkctUgXPn6P1QanlBJZI2mfOuwq0zByX6EHkq6yOkDUyFn8NIz2AfqnCXKnOAVVdx2rmS0XNJkEk2ROotDFQbxW70+wEwBgDBXzvHtLzeapHgdoYOHv3eTboXjHGwObvnzEGWvTB38OxXRvDT9BCh4sV9lbdIfQ4ljxEH5/c364Wp/pUoFTmXvtxQfxsxbzaq73aq73aHwYkEVGA50aoMem2ADhtel9DpSmoBMUpB1FBbVOBFcG+V+ggCDmMFC4xJgeHRy6pKnDVIo2kV/dcuZLKO4BN3RN2NmCbNUpqa15kzo0QIS/4OBs+huDrzghE67Nieh/Dk9xHyr0GdWL4GFQvMkj6GrngkSMTdta9G0QGk7ZpmuLjOF0BbGaIirjn0cQTgF2Bq41Mni2Fxm6PfJGfGGsisyBdFGsLrn4YuaUwepTVzA05Z+nh4xenwfHs1hWvYu8G1xgDH2dDrYq9KnNhwD5vXpek1CnfHLUXwmiIPIS4i4KSwh8RvglbMf9UKJj033MA2DERGtPNLKNHYUz0MZI+ZwCLEqpAXGo3PL2jUxO0O7Wj9TMpGl0CyPjn4TQY8eRnobFUzZ8dllEpEUm1NTF6moGRibfH2YGNvwsrNhSIJoBwwLXOyJj/CKM7DKUhix28GJprswA/mfvBz81aF76/hwN3N/BJkdEE4wLurRaSqqCqHdW3XEEpjE8QJDZX6gvDUZZu9mHYXIY1wDEN1zCQl4cQrCs0qVBRTfu6Sn5iO/6kPW+z5+/J0zg6trvc6/mLAc5t2cSyftAN+1C16h6FaEGRWr6QQMeAfjpIcZAmS4K6Gamyw2Re1yfJzNAak7rDwdTbE+XNWynMQQsMqCLAFgn/mGtGqBxIainrCakDkVK8VpTnoTx6d+ofHUqwAFJe8FK5hvqgc6oNyyrtX95u+P3jw9ed4rRZgBPw6Cv8xd8l+806OSxuGOqNgEeMjO9mnl+SdEctkvV12ugsX3T1CuXcFNV0Mrzaq73aq73atf1hQHK6UhVVrCzrYoQtFEZfVRqXrfMQDC9mFK7bQY/Z9+NMzy4LTlnKAKsQaIRH6tG8irlOT9z9caYB/Y+gjXiVddECGTyOHn1gF4V4cuLnAL7Uglv1Gh9g9OF0KlJccziNCpjJmWHtleoyxG7o30pJz/ywaZRBxHNsGm0NlcwTea+Mgpw5gvQaU7rT0otonnQNc++mThUYAHlfFSqIiQh2CN48wvO9dxx+bfj3shr3cFUbN+7UIx/qAKG3cCdP08ncCA8POfM53GPfDffBuVChQXE+htO/FBLgpLhH07+YFa3dKAoFHY2ojAO9Gsa5P2/2HfG9mBPvrVusKpJRiqLhv2UrqqRTjUFueyGFsBTBaIa/fPmCj/snBELg7SIOUSFafP1oUYgxf+W0ntE7GpfqhrT75B3jBahBzOQCHjQobZfKc8g16hjmB6+7X+piDKWjnPZugpz0gIdB5k6F4ns5QKeER1gBgwCeyM950OzXGTLN4hLAxpu3YVTZQswBVeaacV2eo18jBLnVLDu/2N5UkxLNjmdUaMXOjg6ehu+HdoEEK3BY7/fD53/eDLgY8jPOJvM6lsNyBVS5Zv0u641lEbSIG62dWfrNHAf/mAM3c1ERDYdJj309B7Y74OHvcFFTi0jLGAa1hSIa0+MRQTMKeIQzIpxYbRiKwN8DVFpTAMfZcbTOAqhFUeuGCuBxnPmYKp571umcKcqaM2LAbx8fXF9meCsFzbpLBcLH3DLquw4bZbnn0In3LfLZxujYXS5blusEbTPSdlJJzua8RA7LK3/k1V7t1V7t5+1PqUMSuQRVFTYGih+0RYWKQ8aEwc3zDyIRc6sFYuTtdph7q6e8axQXBJA1MgAeEltRPM6OW604x5QAjjoOojOnReDVtQc/H574boZ+0vO1eyLz0Tq+nx2b0pCM8xmYB1RRwafrzJv3E+qHpOe0qAreXM72MVy9RhX7VlxpauEki6QizefR8Ne3DeLUlcilSMUjp3aVIlmAsRSdOvrApFC4slgVxaaK7/cDj0JweLSReQ8UmGFRvjBETRYjSJERoTizYy5uVVFEcB+8XtxThIbm/8Pe3zVJkiNZothRAGYekVXdvTNL7r5wRO7D/a/7K8n7cClC7nJ3pqsqM8LdDFDlw1FVwDyzZpdS9cR2tHRFhoe5GQyAGc7Rj6P7VvHztuFb73i4VLPAY8SHAYXFG8UHuA+lEhi4VhJMGkFAyDerGZq4p8blffsY38V2Rx0TkVkULxK0g7AwVKzgfpyuFMT7twKUVlDcG1SF3ioT4DgO9/5p1t4INbK5TuvMBRHmNegwlxHmIrfsi/fX6EUJchT5UJHQG6RLpGSdjQRWKyBNYjNrScCmElSu6XiOnZAVY36NBqtyABzEKYrfBfiMAK2YPyCKHjI77HAZ62ihZEVFIuaMHD5vq/W4m3r+lntKVlIQoTNCsiuu0JeJ4EstlpXRCOb8P7fvCMX6wQ+O/582//4s0ifLPPmYLTU7cuqW0NRkJsb8nTzK8zLMiXCEGwZXscsJ4YTCw55AcrDKKodXJs4Z5COfPbgnwI0l8HVoJhinppx15GWtay6uV8RzWtKzTANG5GnVWlAr14thigCMYVAZOMyyUGhUWX/YoEx44ZqNZ5nKyvR8ftlq5n6ZTh+i5GDx+zR8ABhPRFPcO+Tz0IcyL2owH0RtEScpguMcy/sA6bHfWk21vld7tVd7tVf7vv1hQmKgJbgPxV4LPgff6FUKpREVF4nZTQTDLerhNr+J4ASyWJq51yTio4tvpBBkSEj3TeAYrBC/FapDqZlL8FqqJ3VTVCUQv/czPQwwKlkx3cXDFJSAKUOXFk+DgNa71tzybizEtW1MiLQFCVQRPIwJlsO9DyLcJA1MnhZjomgSHxCw/Xo/cWuVVmIYNqES0hgMIatNcsOOWehjAu/3rWJvFZ+PntcBgC/7lqQHQI5PWtW97xYEwT/TgQyFqXuBaSh+iVtMC4oZ3mvBw6Uwu9FS2ErBo2qG84XHorqsmbnV9X50NJSs0rwVwS+fx8XrU/x6RSO5OiP+6D0QhjupWygBQS3Aly8/4Z//+jP04wP/7bev+PACllXciqmumCXild6ZOCzGivURmgSxDPk6By36j95JtDFrOSDA+hK6YWAO0EMnKHFjfXpUssaFzVysbasoHsaX3jgnCCRYM6zt0mR6E4xIDTaQg3WpMyGSBT+bMITuzKRc+y4EKRS0xJ/HIHt96UfUIRlP6H/480XyrhdSdQHjfp3q7xA4KQnL9V5Z3yYEIlaAnYObgwx/ryzrPAApJM8Z6yjP8x1Lmd4I+dEf8/KuWrYcVyDYpFB97gf3ej3Jci+eAJ+fRT4SGO4Ik8x3iOdqDMsQwHSeDCeDWMZqHSInLflcx936oekFwbwvKQBawSXPxPsfxSoFBO7x7EZeSylCsYh+OsmogBT0fkLNEsC3Ijh7Z44V6GUWQXrdTMy9RJKGrlP5HNJbzeekL+PmE5LrIn93YxLMLhLzIlH8lX8/+qCRwHOsjnMk4epDUVTSI7K5FHUVQW0NAsGh5+/P/au92qu92j9o++NyH7bEl5eCvRZKvyKIA5N3z6H47B0jPBMOrscw3H3zOjWKKbpFGUutBfimHn8HPQ5FhAmeCry1jRuRKkGTd2soE96HUmufgJp/j7999oFTCTgjvISbzEx2htDTwjAG/s546IGjK85zkOgoE+fPTiWmClodTx34eByujOXWQyU5CZxURTy0i4maY4y0kMP7w0RV5iWsxfFEBH/7csPfvtzSKnfbqPhynAMqgn1r+MuXHV9uG1K339wUGhZRmyAv/7SAGHEEEyEVnydBeQUZroD1V6IW+LfzxDmmdT4qu4f1UHzz7kPxl9uGf/5ym2FbPkbmHjJVz08QwVvkxYDCA9ULHYoI6tZgXqTsr//hP+L/9r/975BWmYsk7GQfzPMxXyO10ApciiSgJHhmvkJ4iML7MxyAr/cS5+NALXhHCAilSOJLw7XmAYR9iFA8wQzn8tPN8C33/FWhitlF8WclaGXeR/yYc8sPmxPQUIqLSY5aM/m9vH6ayaeH0PtXDFnNO+8F39+DGnC6gEKAP3+k5m2YV7x3742AJJCFNKfkcITNXEz6iaR9PLILNjuCmJu1hpBcf37HG66hfTHHIk/H+BozID1KkKf5/t3GYy81adaL+BiHt3IYvURtSRR/7lOE0n5XAwf+nj75Lr782fscRNh0GY585S/jkfc8TxKV5kmSFMX47Peh+Hwc2ErBLgUfjxPfPh8ZlhmqYcXfhYfn15Hocv8YY9a5ibkn8a8MDQRrDbVI7F88TuJeyIK5Ngx8Tw/1ME9b6KeIS2FTROToM+8M/mwfHiIcda4E4S0Hjj5wP7t7XF4qW6/2aq/2as/tjye1u8SnOoAGgF1YIPGIF3ohAnmvDZ/n4Kbj1vQiBDFhSXvoQBPgrbKabncrFwC8+QY5wPPDX+61CfoYuPcO8/AowYzXjUruPeKgBWilYtsKRjec3avIG3C4lfCEUq42rL7G87VS8NPWcAxNNagsvhemRkwwf/pGuglJWVQkX1WU1oTqqG7eB5XJuhq+6SNlPgN4moelRaVlMcO+FfyHn274dpz4OEgS9kqr3C/f7mhCxabY6FGBqlQbmgUbbYI5vx8ai0mUzCSB+FDD1weVs0YfCLtfH4zd/vltQy2C3x7nhAsGL1JXEMUxH0fPufp6P3EOJsMD0R+Cz9PDzAJxGUJaGbi9v6HA8Hkc2PcN/+mf/gPUgMf9jo/ffsH/8X8c+K//+nda1R2chAzvUIUNxb5VqLkXxsM4FJTbjST/NUdngBZaE5nJvLiGCnJdzOTs5so/tOlyfKV46Jm7AEIyNVqAnlCEyloVCXAZ1jVchGFESMyPcI+H56znP+m2Ah9VSqvWEsCW/ZW5HHI9+GOBJjMpP8G9hedkhYq4Al4EOVk+XMCh+D8GLAv1BeW4Rz0jtTmWPiYZApf9mJb768XjWmt+B/+bGDc7kz26Ok9spVvfE6oAwcPoGWhSYO4lWS+RtC35lCwfYhKcLDa4MMU4zt08dSuoTgLi3bRWk38eg9U7+kyWIhxMxN+j9Up8L+ORNyO5ruMiagoMegxaoxfnzYm02iqcMVUKs7CtE3Qzw6GULBd/B0TeRxF6KU14jXjXUyqe71sUpHpYvIss7jmMQj6WSSrieYw7iQKXIYjgnvbn+Tv64HOtSml1J1kMV33lkbzaq73aqz23P16HpJTcOMYY2Laa+7f4BhNVdRXmye2Slrzim6uCKj1dDcOADZ6QLYJTNC356sWyQobRnCjExtJqA0UeDeLJmxETXSurhlOO1VwfnxWMFcgCiwDB9v3sTB5vU2lmaxVSGdYiKlnteIJPB4l+7nDjByiLTTrCVIp5boHRatjV0DTGy/vPLzA0yMwBLVA0LJiS///tfuBxDoyh2OtUKBtmMCdeozPMbmsVpbJ2RwCIBQPlPZUqWbDyjLAOQ1bi/nJr9EA5kFZQJQfqdRGUYAxwTwIspY5DjKAUKon99X1HKUJFLh/bW6NEcxA0fodkld4iw+PzEx3AT7cb/sPPP2PfdjweDzyOE9/ud/zbr3/PdZIYzoB+Klqh9ZMeMHEPDJW6DHCy4HK9jsj3Wilx7Amvkfc0fF2FlReY4DXycra2FH70OQ5reChUFfFaKYvxOdeXPy/MqUGSna3Sc3T04cnlXEQXAL2cLJS5sOAjgxMU91aKMJzSjApMUWgwMbD/v5tdrmFq6Dbo6SzTwwSs/VnDqH7cJt7mXDO/hX/JsKQE53b9nn/5Kg09vyKQrHkBzHCkOOP33fodUnI55zzyuQ0AG1jEVCA4bOQzM7u+gF9I/mrmIa3F/yJY1lf0aSFWy5D8yCty6bYs5Gmd1CRD8z0Xf/9uSO3yY/nYCVI444n98b41hhwCGDLVuyJh/tZ2QFxhDmD9ESe4EKSRSpykBWmqoLhKhAMCQPGQv3WZBAGC+P6Uhpcgf5OMxPsuah5FGC8NSXNNx/3F7+bvBQNgkRNjDLl9tVd7tVd7tWv7w4RkrxVSGDcfLvChzGk4eiQfAIB4ArbHHmcIlPjLvsKMYQOtMu+iuvUslJlG8SRhD9mBGQ5X3WI4TWfSOYBumGTBQdsYTLiPRPHzHFSZAqjF73HE6+6ytVljIuRqqxG+TGu5j8VW6UUAk3JVDR2KWuqsUl4F/aD2/U+tODCxVI9qrqYFEHucw1AqAGHol4gArYJ2N6pzBU7oqrifPcf/cXZoLfg4ultXfdNuTHLv5zWZuJSCWoDjGE7uSh4fFdtHkDwzQIVkoHMcWykepoacW4NL4EYIlgOf1mLkPF8Igret4T4GVbxyJydg2SpDqbp5PgqKh1m5JdRmMvWvH9/w9etveC+A9M46OSLQxRobuQ/nOWCbF74xpIpQBYmTqdETApJHyMxPooWe93SpQeAkOcKeYpHEPLVaU/5UwrtSIolfPJzQwwNVoeaWdTdDiwiKRcL+9xbtW2sog7lT5scH4k2rtS2A1kktXAhClbkkAh9vuIQxmXEmNxMbSuZzxYxWAU0CC18I8sRIyYU4/AArC9bvsQ1jjsOeRefsd1jB9ftxrz86qha51DxZQWWGeD0hTbHLr/zn5A3z8CBD8Z4rXHtdgF0Kc5EwiXEujgD6gjlHvi4tLzDFEGjRseVv8/IzlO1Ht88LhEfiMoy2DOzyjjMPRS0y11EYMdZR4mMi+XV6BibhqWXW7YiwXvj7RQD3TroqXys02hSGAj88xBWgsYdCHDSMtNgXECFT4qGU7FjWA6p8tjpW77akGEUQ50i+nxLbuOShxN+B6Rm8eDdthpsOcU9OlX8/f+jVXu3VXu0ftP0pKlvmmvGQSPzzUKVW0kolwhyREpZdCBP+LMJxQnVqxrIfoHV9KzUTIeNt3z1xsQhBeZCGIxJlwUOrW2dHJ0ivMjeNSH4X0Go5TD1ROogQPIzHsljhMQYUxZPBPVwnwjJUPaSJyMLgSfdFvRo6oEv+yMdSfDGsnpH7okBK1U6rJ0MAWinokAw/GMM8+Xkm40OARx949OGqYyEWAIioS+3aVH7xzTTiyKXw3uF3YgZ8+zxdbhcJuLatYrjSUcjxRjXj6PiaxxB8j0peXrsCwPut4cvWsG0V344TTQR9HClZdaim7KwZWK3ayWWHK7AJ19LbtgOjo4pCT15z6JRvTpDk+SsZaqV6ie8Oxa6BCRwNrvhWPQQmkvUdnDQn1isMnPDO48o1SLQPkYbnLIAP5zm+kfkhFtKqlgDofnbsrbq1WXJtk5gLHl6fJnJXBEBzEhGAuZ8KHYbtRu+fwtDFAAvvD8nKts0ih/GTynojrc4BjKNa/doEmTuc7wS/retBP8LQfgFVhs9dyMjvEJPfbZJRQE8Xm2DSFja0ki1bPrPlHsJSj+X3ODAVp4zhZ92f9XepUAMOGy59bJdzBvnMPqyEIxajBim53gYEqFuBDMuctTjR9KhcBzsMA8ZOX+YlvWJKed6Ufv7+suswJyGL86+FA6UImntOtHJfaKWk92+YuWQ265Ac8bn3PDzP4pPZJIxHJCHN38Umglup/P4yVrWIq91NAhUEIufQX1ZPvHQSSW+r2p3ARR2Wz+JYNVCK8dVe7dVe7dUu7Q8Tkl8+76ileJ2QgtIIyKpLQWbxMTMPy4o6AQ7wz1WqlWExCre8uWVMwfCRvTUmJY8OqFdZD4BGySTfgLjBqCc/GjzsKPIWpGBrgr+0hqGGx1LfIjDFVgvet4Yigs8xoB4yBQWtXUFoPLkUIDAGaLl73zbmtAAZh816KgVtKyxuGDu6ozjxcYRvxgGwq2+Wd1cwE68+fGsNhw1A6FXqjnAv8eXgxvqX20aS1we2jR6S+6NfNtXuwGXbCt5vG36+7fg8T3ye3cHIek4nhl6N/lSFR1ek+hOttDz2HIMyuF64MICRAfhpq/iPP91Qa8X/5+tneoh4C+ZeGWHxwTBfK8d5ROzIYqmspUFKxW08cD+ZELucEJApAcvQukn6DLOYG0FOwUAUomTyvHi9mZAOjuJrYkDXkVbgCEuMy5bF2lpcnSyS6QsIjmIteZQIK1p7v55Bd0huBynZas25iUJ0b60yfMsYXhL3WQD0Ttlr9RDA0wz7e6P8q7rl2gxSKoG1LuTZrx/PF3Kul/754gvPksbYr14dm2IH+ZGP/YVv+CEhaiDBbqeN4iINHE3Wu5b4hO1ZAWwi0OWjhWgtmP7SJ8fvPyAwPDLyN0okWntOUi1Uk4O5OuHS4r2R3VpP/PRv8mLBhQZ7f0oTQOhJgIVxwS3/WH1VTkLg78+nwTTMX81m+F7k55Uq+FE388sVGT44XH2Q+TQ8XyssKAvxQokluBafr0fvS26JE5zMRmdfj65UQPSbL0W8ppQr8oHhkofnRFFoYrm3ZS3Ffc6bn63IJP7rV9ebD8/+d2Gbw145JK/2aq/2aj9of1z2193ux2D4TOmZZwoAs36FbzwByszJAoAsdDjU+GUBKrhBhXVezfDonVK74ObCDU2zHkeYvxkyHEXqfDPyZMzmYTSl0Y+fNl9xxZhhKK0QyA2DCTev6oTltlVADZ/9e0358AQQvNOiD1cZMgNanapF+1bxODorE3uC+s/b5hZ5hXSGJnVlwjLgRSQdGg0z3DuBqBT6Gd5ag5rh49GvoQNurXu7NdYvKSWLB15QFkiyto0A9PM4ce/MR7m1hnprONzivjWGcw3feHVQdevjHKieRxRrI6oen2NMxaGlUYFtoD8683YQdWcIsjLfxoFr5Bx1UbwVkrLIYehD8a+//oLeByoMw+c1QKE5ggwQUWu5WDvDe1IWMFhLSdBOgD7HTQyZRK5qGQoWzwb/PaHfGuZXqsei2ySd4cGJqQm1HlvOm2BTGEJ4DHrC1AxbYbQ+oyhJAjb3jg3MpPx+KvqZvook2NotJUuDN3Sl0QAOVGXpV6yjIPORuBuhRnzoSz5D3RgeOb11cy7ytbECwIW8xqrRkAN+Bsy4jj1y1MU9uE5qEGE5T+QDSIGCZ3T9DLKnqtk1GdqW/q7HhpHECoBuWUtj0rvZnQsHGhexAAEAAElEQVQ2fgLKz16JYEtXRa71hvz9uokXmV17/YS0/UuX+48+/ODQEKUAQkBhoZBO7mJNZZK4h+0d4HukFnFlwYIxFHdV1EJPTDFgqxXfjiPzr3jNMt8R7vmDhejEJCsGvldZzZ2e2zXXicnsAITiFLnGlvdiPL1zzObahcxheV6ycVyO6jIn3xG2V3u1V3u1V/vjhOTmgPgYw0GH1wjwTfJxnEwKZ5EQ5og01gzZa8VZIkV10X6Pt7cD/OKej+bnHl7BWU29kq5lfQMBrVBmBtnKtN55f0iMGMZw962jIorOzQTuxzlwnop9Y24ECsPQwtKogtxgadET7JvL87pSlQVYNybOF2HhLDNa89SYeA+3BHbVBCpbqzgeZ+YRNK/4rW6aba06qC14PE5UVNRW8ThOgufVZGfAx9FxDCWRgGTScwK4J3B3qEJP9VoQxatxM7TtfvQs0lg0Nl5a1BmqwFyISFzfSkHHzPXZ3MMAJ5pDgF8eJ6oDx1PNC+fNImqCCbIrgEexJDxwIR6Sl5CT5ofFi+ZZuBxgT4TIIbRg5tJIybEJEh25GAYSo3IBI4bA3zpY5O1H5tPVgxCgXkFS93CyBnFlniAu8TzYdX7YD8/hAkMDD69dcpMpAxwAqzgS7E7wAJe0Bk8kXql7eG5LuxVEZn9a1d2bhFQqgofLWD6uZhPQTqCo053gZC49VIKL7LXzt3m7fsyzYFiGoSWT5HMxh3tSglbpiVI1RD7DpUkoikl0Lr0vz7h8zh37EPnS8f649tGyNkjmIYgAVfAoTPpHn/MR8xweo3W9mJO79MTYJFhmRuEFeeqwxvrhd8NgcqlREl9ZiI4t/51jND/K5ajzuNGdlNgMO5OQWPNrGgxWC0YfaFtBryTiTQT3rihSsJeCViu6USL36/3ge8UNB0MN3TpavGv9UbPBTkXhTphXXnevzL17fSyvCxLzleF0LgV/MTbEeOSCXsbnBwsj6xUtUxR/j+vJ83df7dVe7dVeDcCfQEiqV03vQ70QlaEIa3AALFgoEEjlBixgccTmHouIKQ/JxyKCv/3lL/j27SvlhGHYW8MYHTCgDoW65+TnvQEC/Ho/M28DRkss/RfC8DF4RXIHpUeobJWCrZUMN1DQm2JmWVUYYCHBWgtureLeB3Qo2jbDWGKDCfAcVeX3rbGWiCqaFqDiQkrg5Eg8TOFjMDTq3e8rCZQycVPVw948tOvWNgD8+8MGVJiozzt3AGQeggHKTRYFzKWaw9paPYTMgLQ4ju5FGEXw17cdP+8bPvvA3QtchgSvwUmFK8q0PdTPjEC30IrffHe+68DjHJk42jxEr48BU0MDtf7Duh+W5bfW0qt2mJHkguTHxLJI2VYq3t4aaq24bRu22w0fX3/Dr/cHPrXnZMW4m03gVECsHcBnqxEG84QgPOQliAFJkuD0nKCoGeOHUqThKfE7ftZacHpoX4R48DyG5nVVYBF7jwSk6TUS1qVpFbnWPg714pIlE4kBenoKmFcSFelD7lTcO6jDYK6ktn9pLHynBozpCQioGiGHQfji+Z1eEkBSqziS8ScBvlj1n/FvAGBBFsW7HO4AmwIVuADrmDERhnxGtfc4x4W0yDXHKdeHLPWV/HrxRYtr4sdEJEPQDCnkEceKgsaRwb+p6oUgZ5jWCn59/LJ39v14ZP6Qd1A8ebp431k40Nd9fPt6AgBeF8gvF6GTzyQx18HqAQCNTeJjI8L1a0aSnmPnMVJBfK0VqMxk9iKCbdtQlFLmcOIZf4NohjXGmEavzCddxPNLvN9QEqKoRM+MdnOJbCfLMdBeqT28sHMufkceYHk92A8OWPt3MVK82qu92qu92qX94QpNXRXfzu5AHmnxHQ5qrADdX+21Umq2IgyllipbxYlELYJvv/0GVUULuVdPeD+HMoRIvbiiTbf9+pavVaZEK0AAPHie0yKwZGn+S2zGOqgmc3i4khrlJx9np5KLJ8qvJwlAObpiq/TMDHViZoAok4cL2LdIrmRiNQi8KgvzHU7uAFrthidamg8wFaAKfvryE46z57ipwcG8hyL55iyYBfLOrvg4ThydIE3BuWqt4P3WsDWGpI2T6gQEAvQO/XY/0E1xuzUqFHWXC06QCc/b4WfT8Mt8CTXmuvznv73jp7cNBo/vtnlvcb2tVaDASY/hcXSE10kqPSklgIbNULgqgn/+61/x822HlYbPozMc7CluOxR4wjMS3pEqzIsIaWX2P5J4DVDzqEIHfg7sopYOSeokHzG+z2E50YpwPUSBzCwyKAwPNMBDkyY4jOuMxRq9rkM1rvm7k874XJy83FplIrznNMCBKtfjzHUYnwN1gGTEwaR6mNelJosI4GFxJNvLOGcWuKQ8K9xLIeZFPpe+J8nLsb+qOK1tLUAXVuh1zgAsOS4L6Eco2jFUKOfK+DzEc2m+NlNRLV4zdl0za+PrzK9YBPsWFnmLi/iLMnI5rnfHe7E0VuTxa+/9hpdVMd9osT4iInPwGs0LfrZW0faakufR5yQENYD/QsbiPzLPn3Pm/Vxua+Ju/zDqeUSvUz7X3Niiho0SbzjHwOfnJ8VPRNC2ivSmuYc01mcQNVNLcjyLaAqqef5SGBA0SGAUNZ1eoxjJJNuw67qcg43IeYzncM7bnKU4Pp3++P11/Gqv9mqv9mp/goekD2UOg1vQ7p6kDgBbFUgVjNP12t1iCTjQNpt5AVFjoxN48jgmCEcUlC6ADQJ8dILxzAAGEBElYS2McIi0aPpB+1YI2pUWWLFIYB4sauUW+mmLNIY5eYyV6hWUGUL5S3A/O8mB10x53xqKAR8nPS2xZ4cnQd0KyDwV4OiKPoAMf/BjQiZ2qKIU4H/88nf0znj6SLAPE7oqiVHkoeuYtVxOtSmr652v7skKZaWQTD77wP/4ek/lsWYFb3vDtjX8dj5QxdBaRSSDS6EV/LZvqDrwvjV8nCdureJxAl9uG7ZWYeVE2yrOxwA8pKW5BZ/FMOmdMR/HKpjqT8oNPoucKVA3bviP0fH//Nd/hSkLS3KtPcFGW6zimAmoATQDDEYeCz0vBWr0XBSbFn4DyVcWXCwzrIuyvCTkm9QEtGHIFszEajXAXMIaYJ2YHvVjnKyXwuTfLI4pjI0PWeXweMV6PIdi6Ik3ryGj5nUefK1ve8GjcLxrEfSijN2/eeG5YRjioqoLKK6QC2ADcJHWVlXse7sYnqNXCs4nZNZyuIYmxfMklzmK01zhI6/5Zd/wcZyXsJgQtcDynfQACNLzZMKchvCArF4RNaSsdox7ZHFdbgsOrDGNGlH7ZJWQDe9ZawVR92IN/RM/z9X7sAojzAlO0QgsCm15XwhHCb0EGuRpLrzamJCuYwHlwUNCd0TnOD3Pw+yw5bxlnlEcN2Y4WqyD1VMVeVM6mA8Wqolf3HhxgOuvtoIIVzObtZxsOW88u0cf9Lr7sZT6xQxN7XzGwisqIrAgrctt5q09sYj0VE6nz9N4zDHKaLnnsXsxk1d7tVd7te/an5LUHlWdh9GiDQC3Ihi+KdZKzwFzFwaGA+8K5jK0WvE4T8Y2F8a7BzCMl3pY+WshcD36SBJwUTzx79xawxDDUCoYjUFlm9CqL5Xnu1VWoj4tvBBund4rHo9xVXwyek7CRLh6AAJ8tJ1hNvc+0Aclev/pbUMfSrUu9360xlC3ocy9MA/HqoUW8zHUY+RdwrUyJKgPVh7WwQKJ+1YZKucWfXPQubXqYxiwxcGLuBSyzZAZA4HkEcBlBBFa7rMIdCgt4ICrm/Hzoeqb/gQ0j6MDYvgwVl43t0reWsW3o+PozJeRjURj8+rgwzwXpRTUWtGPTpC2FQ+18LF2giU+L+OkotAwih88URCwq9OSnGB1IWa6EmTIhagUkSlZa2DuT6AN9wSGPC6weC/45yQO8LUMozrW2eNzc0BPMqJBjnyG6HVkxesoWAiDh/C5XKpfM8OLwDyrz8MyhMtsSvKGF2ZTT3h3RTEJKdQgV5U5YE/GfFxKCToZvb011nZRikowudhrcHRjUTg3J0eFbOZi8UxDKUEsP/DdPuO4GJ0iwny0MZ6x8/yuXEmoLWOr4DhCGU5a/KUTUtF1m0VYIVMqPEBrH7PIpXl4kWkUYJ1jGdddidIKei/5MMtNxzpfvSkBbCXXlB8e18OiBOVg/nJyN2JUMv18mcV1RIC2N7Ra8HE/57O2zHoSpOy2IbWlfW2uJDGuML0lTlp8PKwB76Xi4V737gaoyHUyz0NJlT4hgQsZaBOOefH3ZVyrFEkPaXhPAEyVLu/MSgwvAy3zwxlCuXzH5nxcPCbrVC6f/94afbVXe7VX+0duf0Kl9mnlD9C7VYY1wQynTWsbLbrAvhXstaCUio/jYB5AdKgUJqr7W/utFq8xEfr4mKAagEABFZh4H8SlfoU5GwBQm6C1hn4OgnUpme+ihRvs2RmOtVVepz9pxT+r9/BDYC1MoAC+nd3zZgj8ftorNhF864ovW8VQwzcPa6nixb18/LhpFrfKuxVapqLVw62QrVK2N0J8giS1WvD+peE8hjtAohK6QF0paWvVJ2omtacsqXtZwroXIITJ6JoAqHfF8M13VhxnXRmDh1H534d7Fe5eEX1rlQUhDUkqMRSbAz5q9wva3rCx4AGlfX38WxEgEqeLzd3diEgid+EHxs0F4M9mHmPSQwrUyfUasiM+v6tVPcEwnqz7Pm7Psp/TOM3PHsfA6Upt5mtFjYC9lFnL5roG4YXkKItaXJmISfzu1SpMEhYPoRpKYPjoA2UDikUon4fMgCGDDYIG4AQ9T7Ss+w2GRw3ImitxQ6sFmOMG7HvNMWDhPMs4/ASDCoiTolYk69v4oz4L7y3nBq4jUnzef3scWfU76tQkuBdk7tgYS4L5AiipJVAwThaTrHWGLmXuAoeWnrD43pIrFABVzfNw7Pv1JzKTqi8387ws1y/6uFl6KtZ3D1w+2BXONIwMNgv4PXcizqnzmZqnzMwzvg/qEh7lx00MvyL460Vm3ZVYHTK9LkEeYOm1Bpz8deYZhgdDCnOzBNObHNLjvUfRwkk0U0TDxUwAuMLfmtO0hvpx/vJ5W4YkCcbyGGZBXzxN2VxOc2rk+aBXe7VXe7VX+/faHyYk8cIO0KbKiuenKczd4VshWA2h3FttgBSMMRK0lOq7i4DWW4XXNvHq2mYsKijAe2u09hYmBFcD7sp6CrGpPsagRGkRHAeJCIQhZW2ntfvTrewBKrmxc0eKxGL4fSFAjiyb1rqpe6sRhgUSoW6UCI6E+dMIivZKT83dS5+HPlBU9rbI34B46Mhgfoh3ieFfHioEw9ZIds4+MLDUX3FQ1QpD1CDwcSLA7p6jEso0ZmA4A0BLoJNAVSaFtlaTrEQ+B/pUSMsaBxIgQvDo7Ot//usXvG8FfXjyvYHrQwTDqIpjns8wHh0P8eJ6GVIS60EzVr0uhdRksVBGK6Ai2jM4WImCCAFc9dDDmOsALN1lZquE149hWhcPkq+TIBxmrDAvmIlaxJPMseljWmzVSOJbKVC5WpRXYhXeP3Oicds3PB4frGyfjMegYIJ628LTKMv1+YREMrX4uAZB3WpBA++5C8F1XJjAMASoPN8qQnXWewRmQrFNKeQVKMaxce+rlGqQwmg/wtTsttfr8ectpcN98KjexTkIwmZWsG11Asi4N0GGnWmGOCHFLSr4rK1euQhaa95/tZnYXUKGK0hNWWp+/IgtzwX01ILcLOzF11mEnpn3Z62OHuNG7+Zy3bULSTQFrVR8aRtOHfg4D4pNmMKUeX+HP6/w9bcmtK9Ek3+/rl6R9dpBZJd7zSXmHpuSPCx5D8krBTjUgFtb7tnPU6qhukLehSHg+pq+kI40OMgyxj9oC7d6piRxf7IcE/vhyxvyaq/2aq/2v9b+eMgWFguVmtd1MOxS0QsAo7eA4UgFt615lWgmMObmbnS3i8waJAQZwFCwrofnXwyjd+H+OBjS5BXfgzCwD2FR47l1RLV1hjpFavupigpgl4IvpTBuGcCo4tY4mwXhnpGhxAgAgKtJOYGqvjmdXfFNDffhtSoAvHllbSavzw0+6mWEte6tVpym9EI4KCn+vehG7L5hmT1sZMhFJNfvpeDb6AjFsW4R5uAAKqsVzxh3YIY1jaGoraBGkT6//dIKAau4hRN+g15fo2sQI1dgcoL1cZzM1xHgfdsgoCynuDiBhPUSDnj9eg0Fw+gNyKRSD7mKCPk1odyAzKHhKF3bBTZVSQCRvMZvtsV6Qihz2bSU2iykSK/DDI9zfbkJDB2tFLfS37aKCsH96LhtjZ4ML0YYoPOKaAxmQXgNXz8+3PofCNQgoc/sVvP1vqvnbx0um71CsAupMubMVGNsf/eehxcH4DqpIu6tkcyFMX/Oq0wgeqai2zW5uXtYonQaA84wKCzekTkPT3Mnke8z50FKQSmex2KTdDoPyzmeH84xMAXK5mNn9DpuW0Eps+YFCiDDvV+RK4L53olE8ugfRFKu9sI1fo9hLfN8Ab9BUn3wSvw77tHXHoL0uARwOlR0jkN2YeE3b7XhrTV6iFvB53lSpcoALYa324ZSBPfjjOG5kqonowy7JovU+nXyOG4uhiHzPKXgQkZy3GTx3GA1dlyf7XjvwfsYfxfPGxqe01KWCch3maSa9XdrLadEvvto/m0d0+X8ElXeX8Tk1V7t1V7t321/mockdmcditIKSYO/qO99YC+V8ci9MxZYCBxaKejn4Gbvm7i69fHwEKZQmmrFlWAA/PY4Z60GnUAJIHh481ADgqlInuUxjz4y16UVeiv2UvAYim3fcL8/ssp7AOOwcgbA7EsiJG+fAKuUkgAiiik+VHMjNzNo9Vh5YX5N7xMwBAnbCxPSb63ifvbclMcCwDKp21gHwGCsoeHW/dEN3RSHDbfeArIhAXZ3bf44X3H1sLC8QjyRvoTazSSNJpIJuFIF2tWt04JmBCQBNmotGDD89693/PW249EHxmDeAomjMnfIQcyAixoY676IAbf3nblF48AYA92AL+835jx4X71+Nz0ZPwBB198d9Eqsu0lGwsAb97c5hBFhdelTR55zDewzFx0oMTYraMPMU3Be4F6RilIYlhgJ/WH1j9CqZ2t0H/DQrgJTzTAdALBO4Fw9zC86WkRcHIIkXM2wibnKlFwAszpYLBA+tzB0J81e3oW1eeJ58hwKeI2h5oQrAOXWKs4+a6uY8VlRA0oUpnMAGWPjr4K45fVHzl94MYJcDdUFf9uFx4h7W0uVNcpyeXXx2XGoDADowyA6MqcE8DAmW4nc8hzCUqIWmATisgyWe8l7XIA1rlOdoZTRZvjqvO/wgkjcvPfXZILkBMwSJGF+v7nn9KMf+Dx7KlYBwNE7K7JH11YG4P+YQV3fVyaXYBDrPa1Ecb1dP7eO6e0JwwNJQ7mOW9JJDuLpCeutlnzXRl+SuxouRRDpYbLvx/+6OJZBnPcqceKlj0AMf3jv4jmIwX8xk1d7tVd7tR+1P16HJK2ZfHOHos/Ho2PbKratojna6V5ROsLSt0IL5LZ5MqIw5+GEgyZXeyrCYnnD6Hk5BgHh3irOPmYuApAEqYuTA/NY/gLYmJthFNiL5OP7YIjW+TiyJkddwpCqMOma9VWc3PhFCxiHz/onDlCEMf5NBLdS8WmWdS6G0ksTij9bLThdzWcrBW9hAWwb7ie9QOFxMTDhPiqoC5A1JYowSZ9yr+aEp3g+DE8wuuJt33CMga1ViBMMAEvMtqRXSXxOpiysZBx2yPQmaAoSYwBUPWmWoWLnOXCcA/+mj8zL+Ntt96KAHq6lJGIGQEdHazUt8ffjRK0V7+9vUACPs6OPQbLjymC1UA65/2jTX4FFWFoTVDxhj+XrhoCoC0BawBLMMKBYv8ZwHiqxFY8HDM4wTHEeVBEL7Li1kgnQWynQ4Wc0J5gOfDLmfQug68AxqmR7B6gwpXnf4Z0CFhEIAA8dOF1ooMrMv/kRedsEeEQCsfAej6E4w6y8eNO0lVRQiv5sjWs81KbiOjXBtqDITBZfuNQEw94ijDNIxwXsS6jySf7dO5GeqcvcxhAKJWJHzJ+ZFxsEVKbXMMfU72ErBaizIF+ELGbnfzCe3p0kHNdm3x2XRHfNWVkHxz+LgrAAFmv9Mo4yickkKoavj0eGlA03njR/l0FcBruP76z8AsHbbWPumF+XCfD+lr08c/Pucg7s+sz1oUBPjE8lMF+/qpQM7y7scds9dBTTU2bmimny/TUBpLBGSIvH34aHJYYXFE/z9x1rWjwxQUyiaGjuWdUlh/0aFiWQ5Eer4dVe7dVe7dX+OCERSTgmAoSIztveWGPCycNUE+ILuhbB3likTUGVIgzDm3n1avDdPRwx3Bqt7DDDfVBpKGKIm4c69dgAhuHshq0hY8qDlDR4LZRaMFRxjMEQMr9ehAeFspABqK3CjInItu6wft5bq9gqE+Lvqng8BjdFLww4DNjA8BaBpXwvhEpjHBOSngJ6HzoEOqgw9d4aTgf4MSaxYVcHS/dHhyorwIuIh1J5cTGZ1tC3rWIT5s/Aw41Yk2HWSxiuBFYKwUiEZcU9r0QszKNrLDcEDB0CFdRCMW2rNONyzJgz0QD8vG349Tjw1TrMjGFvInhgQCvn5DwHpCv+8uUnlO1EwWCejyPSpdzFBBbRne9A3wxWWo8N4LsKPDnn8AKNgSkW67yANVeWc9BDM9dHSDaoAeepCcoiWZrjFcRXMg8J8Vz5fw2guld7Ik8rUeyWlmBVJsmLTDA6LHJXpifpw4UY3lrNnATnQPnvs3sROVBLYLhnoIhLRld6G4evwbdtgn/xgWyt4H72i5zyBIaWhTaz2ZyTZ6IUx625CwHwU5whTzYt2NP/Mb9nHsajvvYRc+xeLvP3U4Q2mgHa+TxqFU+C58nW/ApZLpOdXp4f/rp8aMt9ZfdinC69zn4stz7v1NnSRbLXD6r+WQD5IDpcf1NYQP37IvSSXBTA4v4KyXQYIW5bxU0tC7+uSn5zJq4t1zAw79+7TW/szF+pNxKSICBR2DTNTJIdRN7IMyEypHf2Mh/CuQiPSXoNcwjjeMHeCn6+NXx6KOLeKg6dz0cIYqzdKE2ylo98Nwqv9mqv9mqv9ocJSSklAUCpBd2mstI5lNWhQwUGBFxROVlDFtQB2eiKDw31KcEYSJC2VYZudTXs7nk4zSVihcpc6qAp8zF0FjUL1aPtVr3mRoBobg/hZQklKFWDVY/X75qelGirpVUBdAc1UUWY1ZjNK6qzWvShg7Kg3lcdBDphZaZ8aUHb2rSgbwxFyTAeRjIx90MALaz8DsAt8EsS7BJaIgB+3hsE8BweP1YNVgrEpnpQkIewaPN+8Z1FV/37EPcGVQaAUwGLX+hjzMJykLzAGIZPDPxl23g9T9gPQNy7YjTOvQlwe9sAM3w8PnD0063aQHjACNgmuYs+2xMIXGbwCgv8OIvA9+XzLJaXRGwWgCNgnKpK8c1Ias4wJVnr1hClDK+1kuvJk+ubFNZbsZnoHfcgEnVA4jaY4ySgR4vXmipJWY0erOSung8VIVUhZdxVce+uche5CMu4qbjYBKaK2Zdb83mYidVbLXicLF6a4gj+twjpC1IQXhtdl8ZTi2tFS+/IuhDl++/UIuhj/j0kjNdjclh9jHp4Lb2/MY/hmQiSNlzwYnOp5TxbiXW3Su4+9e+H3bbLn1bqUSSIRYzj9bsc/4JuOv+Y11j64EOmiBwKXwO+pnJ9YRJumL9r1MUNLowJaG1KjovQeyxV8NfbjdfwMb0f3UlNkMIY92Vc5NptCK8d4helCB7HyOepd0OtocrHNRRe0vXeM6TOCc53A73MD5+1UDIMmfky8/p8zG6t4utBSfgqcLGDaQgIUYtJmIIIu3pbyD++2qu92qu9WrY/TEjUSUapAqkFu1R89k6rnkpugOLIpxSBdQKE961Cuxdw8zh0pRkvg/NjzzhC618EKK7042EmaoAFeDaXBBaklVrA7wRw/Xyc9JI4aOx+fYjAwvotwF6p6DJEMQ5WJYdEkTrJvJQ+FG+teSG6yCMgPnmc/F5XzT6TbHH3CqImIlmrsHd6Yrr3/1SGsw1T6IDLipqD3OHSqgHAY4xWELPU03DPUuRbNM81iH5LEWjxxH+/v1IFt70BC5FphWpZoeYlDrCLheXfMo8jpVgRIJDeolNnPtHdRlokCwfZC9s4eDfFMHq0oIA+lJXt95K3SvniFQTHP9YVe4V93ympLYApyYgZqtDTQyUu96vYVEKLeH3z+SwQDCBDeQQCU+YklcK8CjPm+GxS0wo+hGFRxSZQX36gSME//fQX/PrxjSC0cq0JkLK/MGDfWKwy4PJWSlafD2/AipVj/PoYUCMpyXwp8yKTDraYM20JXnNEff3tG2uCxAXUKDucOV+RLwQvjujJ7aVOKP4jcnKZQQfTPzQ2Bz8onldiSAJmuS58bTohjPdPrYLz1PQuZTX7OK1Mort6xQBP0jajRK88TdwPb2K528sNx5zK07HrtSfHjyKVFucL5gTJhyDIJ5Z7TwJt8exMMhUqf30wvPDJGpOhht0NObW4IlkST+Dn286iqQb8v//1VzzOfhmC7POPCFvc4/IOW9dZV0UqsxtmnRcF1PNpzkPz/fR84TBYXS7v3vZ9ryk4wlBiGqpESOWOoS5sABhkPhvmRRv1+YJTDEOiEuervdqrvdqrXdqfktQucKu7DtTGmiAigtIKbChlREGgS1BOoPbt6JAiHs40k5MBwTiVydfuYWHuCWVxi+cmqOdKxMZtMOy14Eur+DU2v8WTIQLcj459Yy2OhyeLx0YiiHAZrydQuCkfJz0Txeip+cu2oZvh18fBTayyP6fnx8zKwtzwPk+GhZXKvBV1a1sVoeStRP+R+RWsCm/oXqTQljAMKZaeGN6XWzxDuhdIC7S4KdIM+O04mbgr0/IeWKN6HoN5PHWCHmHRuWrAtld8e3SUInhrG3od6IMeGkuFNbbh4E7A5GAARNm2VOgG8HBVMEr8L9WnRZgjNBS2MbelorinyovVNXoSGsTrMRR8hz7+PWS7HpLAx39xBaAYh1U0oUDS0sv1LygLwDdDEuAq9Jp1D4MTB255bTVYCdli/p8eRmRc/4q7ex/473//hXPtJCZQW9sK1OuOqIf4AdOrsIakzMTsNOGmlXqoQhVolcUUVUnCpZT01g01fNOO5vdYC630AqAKw/HEyeujj+lh9PEyB9JRsyNG5EfY9Icz9h2SxYJw+aN4bk0cak8nDHLSBz2rHKdJPMKTGsIOAnJyHZbkicO2hAgu75uV2GYXg7TKGjo2ScT09v3gvp54i13/k5/OgMR5zehajoEEyJdUhgN4z0MJ5FMqGXOkW6sXmeN4LoZ7g0shGe1D8e048fj24YYeZKHX9XorIX5uz2shCdQy0eGIisKUA7PQ4qXukM1hpterwNyYk14wuGfYSYhhGrFY80lTuRCCVF+MY6XQ0FTLfD9QMfGau/SiI6/2aq/2at+3P8VDAhBQhMcgN+gCj6/HYs00blDG5MQvpeIhSKAUVr+3W8NWC+5eRLBJgZQJYpLAgPHtsVuZmVuzQqZ1bsKtlJTMPYfO4oKY3pZaC6oUjN5RDDhOKkA1KWgQvNUCKYKPxwlzS1vz8/RT8Xar+Lx3dJfKfWuF6kmjYy+VqlvnQKkF7y4TPI6eIWPh5j+HewwK/SZTDXZaMqNFETRik1mTo3pRyb029DFgoCCAjglOVDyEQ5nwDmAJb/GN3QHZ4xzYW/UNeuD0onwBNIp7J8IzUoXgBkLvAIQqXma0MpqHWGwbQ+SaSyxF0UoTFrQcfWCIokJQFOgDuO0VJsBhigEXSPAxKZi1QL5vDmkWJOScbVnT05ocHDk+syAVRgC+6jytsCri86N45VCKB+ytcl6DENokoZCQRi4QIUDuizk8iFGEnpQi7gnBJEi+hljHkvNWJaqOOzyX+dzmLE+0l8C368BwkrEXJ4Ph6hQ+70fklUjJWiq+DKnwNqa6VjzbF3Dt171UUf+dWROZIFOeQft6YJzHqCg3fAxX8BvPyqmK0Umeo7BnhNqd50giwxoq7HzdymW8p6dkqjdd7sHn2wxuSHCpbZnfAZz0pVHm928vr+tofKqkuXcDS6igLTK3Nr8fxQKTMPkhI7zFtq4n/izh3fUiqe7UzD4PMzweRwL5x3l6uJPmu3K4JLHEBZ4H69+b1vmfvFefrnw+xO/Zlntaz1Fq8fzFmvdliNo6yP0B/o4NzxGfZyQJuxKkCFu0JEcQH7fYD5XzspXqCiWv9mqv9mqvtrY/nkOybKK3kBrVsIKahzz5xqEO6HwTHmY4umHbGh6dxbgCXJcimfEaFcvNkABPAsQE4TD2pavhs2tuFCsojTyM0Qcts63BzHCrjfkdFlZDxe3W8Hh0QJwMwdC74RDDfZw4PN4cYEjVOZSEydXA4JvXYwy81Yq3W2MFbSc9vQ98G4rbVj2nYyq3DPFNT4HqOvamloXbssWG6iBn+QitVQKuU9FFJ6BVz8uAAyljeM/wOHD4GKRF0Tflu+f9VDW8bw0nPNHXgRanS3KeolAiwB/73ghO/AbaVrL4ZY8E5OWarENjgBhaq9CzowsJTCsMrdtLwX14yIhIWriLA5f+NCa2ohSLH5bgK4tRSskDAoSqKotCBtlZLbRyJb6GWI/MTYpK9nFvFywtXo+jVuIU97gNqw4mAbUpHdS2whyToRSDCECaRBWpygSASfBlWpJjPKZXkf8V4JL8P5fAVNYq8DkuFQrDiSVspgAdBtPB50Uorx1rrkRdnwX9ZiHD5dOpB/fjZkvfnz9fWxzBOP8ZorbeYO/TVh15AuG5C6W5WDO9a3oA1/mbilFXBLwS3nmRtX8yxzeenThNjH0MhHD6rfMdEJ4vrH+3ebGhM48sSF8UGTf4PF6YW9wCpXNnn2fnSxHsraErg0zFgpwgQxl7p2ekm1G5rRTcamF+0sl3afGbChU0xHOxeNCia+v9TyIS9+vvTJuEcJ0GkUmU4rPq1d9VWQMryCdkriiSqZXc+fMXh5bZj3ROxnNns98x1nF/OriyqSb48pG82qu92qs9t/9lQvJ4PPB4PPL3X3/9FcBSPM8tSEOnstJIYiC+KfLNrQZsHqt9t4F3lx01zGT0xzmw+VdDhhfAYvnDtHr6blKrpPUfy+fRxjC8bxW3IvgNgwXbAJgpdhEcDqocneI+FF/2HbCBR1dUjyF+LEBGHOkLgC/7lrHzAm6WfRhGMVQHILG5xW77OKdy11DDA0oLbKFSVj/pGileOwRu8QxydUW3E8icrnQTgxXkicCiYBOinGM4WAATgVmhmaEaZ1d6UIrgvdWUnwXg0qEeOiZTTar4WBQAqnPewvB76a3nAqmZ5zhQijjEDwQzdK+IQD18C6D1fUPBu7RUfFKEpV3yHJxf3s/oBmmeZiEATFwgQD23BrSW+1OhXOCoruKmTj4YOlhceMAuuQwrLA1gyM/pAQrSNnwBB8FhNXiSkCquHBcF7nyOq7Fo6E+3Hb89HgvoWSCZIBW3LMfDDQESIJhIas7HTMK25ZnKv0ucgxNfRLBJ4ZwpvSDRjwFg6JjywOm8FFjSDf7orlIU14p7sOW/QT9k7dvSrjTgB2TGfK4D3c5HIsMeDQao5FpfQ6aSsPlnIdUc14KPSTL+tTNrR0SAyuclwr1IWkvWXrkCW+ZDrVb8lQ1l0nw8WL4+p7dt7cdCAvF9i9nri2ck50wMW2MS9kggTaPK1irOx5l1d6Ioa/Vk8L2WXG9FCkoD0ICjM4x3uOhJFFUVC4KN+Z+LRJ77IHzPaRsLs6rO8WBI6+Jx8/MEydClVs3KdxgqybFrpcy94TKFkiIDpiT+a02bdbjj+RPhHhmiAK3V797Zr/Zqr/Zqr/bj/emH7b/8l/+Cv/3tb/n/f/mXfwHgL2m3WtdaIa5K0geRSAVf1tUMm1u+s+Kzv5cfRyfo81j77kCvD6XakrvJY5MMe9Za0RvwOOYq+Ke3DX/dq9fAmBatfWP4VIFQ1akwN2HzJPhibiVXw/0+WGMADJ35675lCFmQsObgpbubf6sFP+0bbp6wHB6HsBRHCJLqVGWhogstyvvG+OwRClyOZiM3ovg1AnBOk+rMVygB4BBx/5L1QHa3WMIAURLEt1bwpVbsMtXGhrospsTGariVgi+leviZMsRMfW/10KvwUqRFepk3M+RcmU2c0T3XYcBQtgKrJALHUJzKpO/uVutSBM0EDdT4714fYYyBrgMPrzA9jOICsW58sRAzjqul3ACPI3egKLN4YITzhSz0GpMectO4hG9cgWyMQRwf4VoJWMK6awRUwz1/BippMc7dJXKNxBxSUNo2vVG43k/c6uwTpsdqbQvaeq6k/d0hi8esez+7cmybFLy3ipuvDcBzYYjc0FphSJ6DYimCbWN4l4FjTmGFH4O038P3OXfLcT86g8E9NPB3hx8USevxJc79nP/wRARB0WGpbHfpzw8YUHgY17kPorjUk8xcg3mi2cc1nErjeSnzJi8hm4b0NK3jtHrsntf82kIdMHIi4h4CUAPIcVjH+fNxcizz2DC6kGCfbuygzDPvrsd7TTycTqcoRngqfNRwXcUckwhrY7FGz8tr8f+Csskl94qkD9hqzTEJ70f028BjbpXS12ohNoL0tBTxApCuepFJ9gtJNjjxB6ZktBrz8qLJ9+P/aq/2aq/2aoDY76GRp/YjD8m//Mu/4H/73/+FSbrGDcYcoBoEwwaKrlYogrtWWOgwrEalFJfpnBb1sHANd3W3KtjFk2dV8ejKZPJSskaCgV6S/8ttw6mGX8dw2UqSiq1VFDP8pVUcZvja6Z1pIngYa3aoA/+oCP/hVtzbVunBWDwae6uZvF1E8M9f3nBrFZ/niX/7+mDtEKFVrrh1fHgWeRFB2Qt1/A04jjF3UCCrDtcyK8qLgAUiPVcnpUnFa6GUGcIQZOdjjCQ9NwNEDZ3RXLSochFg90Tr386elugZrw/stUKMROGtVfx02yAC/P1+eGx5uQBb+8HGW2RRtilMqF+Tr6sDVhFWflcx2EDu+N0LQW5bQ0DxSLqFGtrWUERwP89pLY0Rzb4tVmcL4GBZ2NGM67KWGYo4umatlr3V9FAJkKEfkbOUIMfnYXhdmCCbtTD8J4gJMHMIBMxjiDA55tJoFhqVQvBuDrKC8OQ4+4MWAKl6zs4afhK4NpBwgFkRuCfoCeRLfGdRzAOTh8sCEENY4X6OtBoz4ZfPRhQCLT7GY1AutraZ+7MSjPXf8/Z+XMNh/Q5+8G9ghhSmL8efj6izE4aLIB1RmyPaJUF6xcpzWVFBaUpZ5TUu/YxnP58PuRgW5r1L5iWs4WY8dHrWwivyI2/pesIq15F7HsuuOkPYfKyex+BH4wpbapkUCjJQDGDJ8QALfJ5jJDmm0iDf7QH2Dy++mHO/TGytBT+/71AzFl/EJEzxXlkJ1LM3jWtZrvMIekNyr1lIXYz5xWJnfEaC5Oa5/ULDSXqoCqq/S8JowT2IRob/x//9/8Qvv/yCv/71r88j+mqv9mqv9g/Z/pdDtm63G26323efp6XJJWClhkWRidunMnm5eb7HGF74zt3dVVy21WhBjOgHgVfQBTwxu6AasJa8C8tVawXoHnIAwVf3sKTcMApavYJTUbuo6MwE0bBeG0QK3iqTHzuwXHnGv9fKcIUvX3aUIvg4TiaGOuGSQqAwhmI4SN63gr+97/iMuhDG+g1HJNGCG3BrbnM2waP3tEAG4OUEAO9bxZetwsW78OideRZmuIFjfXOXxF0MW61UCgJSKraDG2gmL9scK1PggE4c5rhLRPBl31zSmFbzWoVAWCLECVmT4DwHynYFsOroVSxALmBRv8YAqR76JLRimwHnSaW0lCotQKkVt33D6COBxwyvYFgHgWYO24K8v4e0YUEfnpQdEr8wuIocvx7SqKFgFYhKPYk81mktLkGLkoArw+h97Rl4r1uVHF9xpTHASZwZREkmS6Vn6YKLjectIOg91RKMWt6jJJC0JxNvWU4WhC68BnWBsFHQs/uKpAoa7zGs1/D7SYOEr8WQhTZ/f8T4f09A4lmblu1sMu93krvfb7EWBTNRuQhlr604MYbg5zeGXQ67roW4XsiDx9yDTiuI8d2lFh1OzncF1mXSzyDV35EsAwYoOxvDE4aJAPkX7x9wJSO2jF6SvaA5/C2FR2yuu+hWGBieW6z5OYZzXMTDGhnKaFCb74vwmMZd55hielRrEeyl+rMStT8UX24bPo4Tj95ZLT7uZ5nPeJZFkElIP6JmP7K9lSI4+nBiUxZPPNfWZQpj/XxPy3LYM7RPaSzBct/pnftfswG+2qu92qv9Q7U/RfY3LF6f5yCYKgIxxveag/0o/seYeHoywlpm7tL/su84z5PhMoaFJPCYAW6l8WbvIdUJgkdzq9xjrbegM2SoFRaU6/AQFlPcB8ORCNpCwlHwqYpSIhExkhunZTE2vDGUClxF8N9++cDZR5KJYd4vBWxRpO1m+Pv94D0Nxmi3Ivjr24Z7HzjMizG6Jb150cBhLje6WOfS4mwUb/k46VIYgNeoEGy+ez/A446HV0R3QLChACFVrIZq9CptQkvnMQbGUGy1ogC498GkVR+Hn/cdX8/Dq1VTucvAcL3qAFyF6kQxcLEuYvM3MKegGj0EJgvxbJO0xI1qEIACWFdsb5wDLGpbMU9FMBOBgbwmQPCuw2BVnjGcg4sAjlNh55KADOZGBMQLMhTkEJCUCg0hhwjRowfkaq3ug2u6lqUujQW5FUiF1+mZsrGXpF7/2cpM5A71n/SmzFuFCNDELbqw9ISYhRjQFdoZXOlueRY4HpIFN3NCDVk8cAyD6shwmjjmGZvFvcyk73+fbKzY+3kMnj9VA+tUKD0zBniikOGnfcdtq8ybcvdhhP7FOyQJsDM31p+ZXqOVePCn0wCvzVPIMt3Y4Xe5eO7i/s8xcnJ4XcBs0AMjsx/5NZtGlKQdfp04UJUlfSACy44KIBS+WHMwyhMZCVLRqosp+DMQNZuqhzqa8Z1cpbgYg89lui1m6Nfwwq8UIqHyggrwpVZXB5SUe6+1YBd6P4/ONRSeRxNkcdaUN/Z5WRdCSKLHnAQ5jLwYkol5jst3MddZCHmsh4RgRX7ygwUoIrhtze/7RUhe7dVe7dWe2x8mJGZUqzn9JdtdpUUMufHyxe8qJyIJznYP8znBQnx2nEwUxtxkAI/pH6xzoYNa8G+t4FR+721viKTh+9EnmBF4KBH7sAlDszqArQiaFTzGwGGKW3F5XiOSakVwgHKnvTPpOzwwQGzcAikF//zlDd/uJ0MOQGtmbN4RkhVFBHlDE8xVrwa/t0aLbS04j06Q7Amla8hGgOCQ7GG+g0H6oHGwzPCcpiQdb/uGX87OuH+3iFdhzo6akURBk6CoAMPHrgK4lYajDBydUskG4OvB4pc/7RtOHfRUmQN8Y5L6rRR8joHhcwGh/C/vZYLaTN6VUGSCx7PzO1shkXmEYpUgPR7aSaIeZ8cxBm6VctFMdKfVOz0Xfj4Nj8MS6jEWoQIALq6gqfoWXx/ueRtqeHSOaQEglbKwJuZheYSGtRBw3TyGPQpq7ulFWKqu+8xSUW0SgVYKjvDOEOFCKgkAC2ZOgBNAF+KhWOuJERbe8DpcvStcX1MRzAxLzMrVOyIy5wd+2GkMv4wTRn2HfqoTKvgYLSDyEhJ0BWric/Qjy/ZzSE505fnQoJN8BxR0Y4HG4giT+SXMB4r8I4Fg8+Ks53kGt8priJBkZv+EpAOwrDMSqDXIWpLc9D4uHV08kl3n2oz1Gc9FrIuVtAVSDkONYNadyfPEZeRKxiHA2d1L40QhpMJX8ZBYUiuYjtCk5qGOUeU+8gNXXrqeizYFvkdFaAAaRqXCVgrXtTF8TM1wPzve9oa3zaXLfb8JriX6RDzW9ZJkTTK0M2se+TymYWMleQvZCyKS8xd/Xh6clRSHx69WgRUX4gDf61xjz2v+1V7t1V7t1YA/ow6JGgpouV9DPABkkcFdBGdh0qAKwV8DN7iaLviAqQ4sls2kiIN83/zevTbHJ5TeBP9/KyzRq0rAFsArCrnVVjNJecDQjQCCtR7Uk5Q9REwE96G4j06yFCBAWHdkqwUD5mpUAx+P0++dVrfzMTw+ufg4DJzdcNsrijCOmBWtZyXgrRR8nmNueGAuSYbqJEidm7CAYPBQzeTr6mPwXgRvtw3f+kCHoTSBHkQYW6uoG8HUeSpBgJO9L63l/Q5lET1KFWvWSwFIBOk9QVpuN2Fiv0DwGVK98PojxYGXTplZ7YCUWZgS8bkXbyxACiQEORBPoDcBLaFEiYBQNEBUof10ZTJfp4E23Cv1P0udYhifA0fyhiR7QxVHZ9IuhOvsjPynONafhdboIXicA1udKluPwSKaSdZsfpdJwV5PB06K9wpdc088ZCbCs4Johicw1kLev/9WJMJzZhhXAGv1G4hQNyqIhWfSn2msic0k/iV/m6RA1YBKgv9sKTezlAKeIXQLyF6etVSNWtpl5tZH4opN0+egrqTW6jQUnOdIyfLbPsP/aMXnjZzHSDKR9VUkcsvj7K6yhut4m4nnrSwSWss0x7EKV2HykLFAv4ZY7+l7g7Oo5SrLndoE3DOnxK+xAGpg5pfFPEXuEuA5EnE/8WhBropSy8/0UgCZNxFrqjhrXWueFL/uqsoYMt/hEWFxQhaTJYEQnGOkuEeo96krlgU5Jlf/ASPF7FOagnwRx/23VpdaPUjmNjn5E2lxQhWHZqFLmcYmES+Si0lMq7/rX+3VXu3VXu3a/riHBESNpTA0qbQJUo6THoPDwVJXT9R1b8cwhaqlSlWGKgQi9yIXtdaszn6LxG0F3rcNOjrgxEIA1nBwq1lYkYcaiqvmVAhsqFeHJxDehZKqEXgTalXm3ofvLZK01jcPHfgfxyc3PLcIVxFoJ7MZw3LDvrWK4ipao7PDwz084uc8zpHjAe/DmtgNBAhg3P6tksg8VDOE4nS55U8B+tGZ7A6D9RnDbmboynljmF1Fh6IPw4ewgvHeCh737n24kiAz4PPRs8hYTFeQwmMwLnuXhltr+HY8ZkJ7hKKklZyEkyDDQygUqRAGMKxKTNA2WnD/01/f8cvngW+jA8Xc+stwF1ZSTxgHAdBtWpkDkAWAULUUEMjaAxlSJp4zIlkAMpJXpVAoIcaziOB+dCe19KBF0rcaPUwCoHicfYScAYvnwz0Iw2WAA0m1UjAqx2RIxKcjC0quoL8IwVo+SuYkVRx8FuaeJNhK4Onw10mTmGRNnaAJPcdUEnydQ9FBr8EmJcEmcbEXucQEc9d1IPl0zXeKXKz0z+0C554PWb6jgIeKUVRC3HJdB40Ee60MjfN5jbEzkGAWCP728w0fR/+udsTvkaSAvgE65bu/+3+9YGzXaexIr4kt+T02z7sSyOu1JwCO75uE6h1gni82e04VrJD5ba1kSFNIfpPcTI9Dkgx/TuJvzBvxfLrFW5eGJpjniLACuggWD8oU7VgJcChUhbhId8W7rdGgE++J8ACGdLCfiOO3LAXDJFpch8yjO/3+Rab3JwhQjH2Qkci1CuPBQkX4L4v6RDkFi3ABcgy/bBU2rmvp1V7t1V7t1f4EQnJRkfH3cysFtRYcp6e8GoH5kJHHffaOjHN2K1xUwwW8kFduDKxtAsxNhlZbhv0wNIp/b6VAodP651aqKoLT45ZrLdgMUBRoETQHTMOAvQqqAp8eP76GjoUVUUS8NopcFFoIvoATBKyjK+pbTVnc0qgQ1r22htjU/n+cA599MJHfd/+sDQGkCVD8ngMlijDEai9eF8IUhwwSIgA3lzMtGSbmCfkOFs0M7yI4DbBG6avIg7mHddvBxlvzSu8AldQMsMJxbVKgAL6dJ/BgmEurBT+/3VBhKZ0aILNUJq2HByvi0od6LkMk/9rMe0iLtwH/9VeSwERaZghN1UMHrfwLepMVoQiJqyQQnfUnDFwfxzFgbhI2DYDNE0YcfauzKnl4aELqWYp43ZGCIobhdS7OoSgOyIcTBCxhOCoeTuRrI64hQq9WyMCdC0COsVObRQAvQHhZQzP0ZIKuLPYmzGkYvl6BqQj1fC0gZJeZf1CK53K5J3P34olDQwxAJjEBVetEgEm9J4ALhaYJ9/7nLYjPJb8izy0paqHGMMjRfY0I8HF0vLWKvRYcXfHpMuT/4ac3ADQkHB0ZTvqc7h1jqyBJrUXm+C73sAJktSl6sBL9AL9mBu1eUHIZhUvo0Hf3GWuUrfgzU4vg+WIhGBKS4M8nDc+IhtspnyOS8LESNCcGXQPg87mq7j008N+10aMaieF75Bf5NaMG0t0FPIYy1O+2MwxTnETeasPn2fHt8+HEe00zn+x6DRvmfUi+R8bQmcuT5Dm8HevcyvLfy3TNv8h8l8b5W5FLWCLXp2IUwTGeJu7VXu3VXu3V/owckklKigiaOHGIeOcFhEZtDm4ibr2LStiL1Qwwlzc1nH1u8qcpfj1GJvueXl2c1nWDhrVVQrZzkpKw+L63Ch0DpylUABXgAcYxqxk6KGHUw0LuYTpFJKV4za1pjzHSyh47lpnh9tZwnpQiftyvGz9lXUduWlVKhkGFWlWiyQuqtPQalBI6+h764Ddt5nHctcCMm/Sphi+tYPigpSywA5+Ifa8qCdShsy4EBXZdsctB5MdJwFDKlFPl/PNYLZYepo/HA19uDU2YB9Kj6rED67005oa4d4ASnp7wqiQ8MRQR7y8A1OV0iucliK+9WgqO0WdeyoKnaiteT0KZ0+Reklo9KdslYLFLhlqYGewgmNZTc0qaAyRLEGwZ979W0461Q+UggrGwyBtR7CTk3tMhDJODzurgVSTzVUpfCIWDrerV5bnmp7U9lOgCKEYKbxSkBAQ1CfAEWyl7KtPyns+6Hzv8CyIcLwI/xTH4nU283oh5uE9XjGEeEnUFdvSILB6Ep0fgcvBTM8wK4+t9761mf1uRScoAfLlt6SX7+W3DW2OBzfNxwszwl7cbirhMuYsQnKfXzUlqzHC2DI8ScQ/h7PMaLBTjGhLlKY6QR/gz6Vb+usUamkPwnFAd92oWH87nRTAlnfE8hzEWa20TP0XkmiQRWsa8Rtiih1HClmKy4Hs2SHE3zbUfnhAs6ubDzMeTBDVUrmKcBHP9vm0NEfZlYCX4vrf0wq9NBF70cmUYfPkVKRhL1pZg5unk2vvBWjPQs7nV+b5e52DaOqKH4bXNQFR0NRxdMfT7Pr/aq73aq/2jtz+usgVukk0K9rahFOA4OxMPF2t/bJYWVlp/o0doB4AZKuIEI8JFotBWJGADwP7WUMwBZeGLf90kBQCUCkKZ1GiGfkZ9h2nNMgG2raL34RbfsEQyPGzGZTM53eVhpvU+Nx3e1hHFE40guLnFvXsF67BItlrwl7eCX+8Hw7ouYzXP56ODvRa8V8GHOhASeB4M4WmFy8UaUqlpmOGjDybLh3fCN/kKwe4XCbCjw7BvBUM8TMpDfc6u+PV+YvOaMxDeWwByeiN4E6xkLu69GhBsqFLQRbG3hsOLpakZUJmXoObhR61gaBSbNGBYJtpf7IoOpiKunASPYV/7tuF+nGgIr5tAUDDGLGrJMC3L+inDmHTNcC/MuHgPa4u48/QGqMGCXGECJwlLvKwzB+zuHTMD/vK2434OPM7OcDB1UO8LUuHCAmZAH3NJFBJnAcds2LSdC/gMDg3NrwD6S2haIEEgle0ESELFuiWcxvBQuYMswWmQzwjVKbskcATCB8fvBWHfSmE1dwNai8J1odAFP9/FEL+s/ifm8tQMQO92ISNFBPve0ruUN2IE6Eww5rzXOutQVBH85X3H8ARtXRYcvSwhib2E5sDS+BEkMTOXJN4RPH6oXgQILjVkArbK8t3LXV7b+t6M9b/wjAyZkvi7XD0txcNJL2O58I/0juT4IRPf474jTCkOCWNB1kda1sIxBt63jd4af3+WWNjF81zA9/uX247z7FCIe9xKPm8fR8f73rzmieWa4D5QPORsvr/NmVp6KeDCHMFVwiPkLPviHbGQCee+9befvuDj874MicU3l5my/G4QHLNJYX9nOl/t1V7t1f7h2x8mJKVKVjkecDUdsMhVaNN/hyPs+3eyCC3VTQTHUG5YZVYHPjpjns03xlBFMhBcMg+iZAhUbQEakZVyG1gx/oi8EJsx4+bW4/SoYBaz+7ifbnHzKwbAAfLfmShpodhEtBfqM+IA/3H0OXZuxQ3pWUjIg3LEmAtj02IpwBnhFz6GA6BnBIIhQFNWczexBOhDFQ+fj8h5iGTOyLlgHYACbO5KMRcqsJlQr2acG2+q5opVAtmKF4ic6kNR+O7rcSAq09dCIKudIW0bBO+3hscY9Fj5+BdHy2LI8aAcLePj6aEhIQoP0akn++Jr5uzK/AHxmHdLbOWW8wkCzVV9WCCP1eAHDFZwqSthSuAeucoiXiOmhCeBIKUssSBDkUIIXA8FtRpkSIYZMfWGx4swL+h0j9noiubzJkUgw0OzEnDNFmGP8enw4pyzMN4T40UkHEuuyZgr8UGL39U4HuYkGDLrkcwzTZBnZthrxVYrWq14nD3zWAxTDepKq9YmP/44rleBEZK1fr7WCgugZnI25yzyDVS9HlBrqJE3BLfWR+FNrz1kzsbU70XEpW9V06BRS0mPbcx+hrXFM6ohvPHdneV4L4P4u/e8Qt+naV8+C0/drC3yo+ELkhrPVn5o/qDADRRAihzcWkXxXBBzC8bCCfxdNddAeAjUqCqnpnhvDfezwzyvLd6NfShq41oZyvXej54U9/PsnB/h+N6PfilOCCDJ3vToBSWYLUiSRsdFLqFdcbw71i7t68cH8w4xn9XpbUaSHizn4dtgqq+VAqj+zoJ+tVd7tVf7B25/iockQqZKyDkWSs12G0sehlw2igilCOtdKcxRKMIq7lmvAG5Z7FMOMyz8ADehsyu6KratojXWytAxAg8mkFQAb6XgIYbTQPDnnTi8oKEIvKI2804O3xQvLCqsfLlrPW18Nn/TAZwY2LeK2grOY+Qhn0fH0cfMqxBkMcQCQTHFiUk+zqGwMqtJJ6gpgi+l4uvZMUDFnKgoDCPoebhnJ4AglJs8ALxVgSjQqzKvRY3eD/PQIUFGPSTwcqAdmzAThkuGuKmb8iN0AQIv6Ge4VVa4L0LQfx8ztyhCkyz64OC6OmmiCILH1veQ9QUmrPWaBh5a8/62TeleEPhwNs3XlsfrhydFBGo8xwrs4QC1efjJat0Oy+x6XCSnG6bE7lbowfjl44G3vboXyXutlDsWSIblBHhqraY11lQJpI2r5GHDwyNnOBy/uyxFBHCM2h7hmQi4ZNMyz1tI70soShksFZIS+C6QLQwPZnN9bv4cpWz1in3FCSbmH/5/gmkVJItVYJ3X3vfqCddTKWqMa05MWNp7U3zZGaZ19IHfPg4WwyyCn942vG8t1fuy7oZ7AilGML1QQZzns8Ein3xGLPvCHCV/KWHmx83E/h+01YKfhpCFqF2+yL81f06iTzGuWd8n5raIhyvi8q5spTLHQqa3hBLOJZ+PVq+J5OJfNkNK6kYXmwhksDDq0Wl4+HLbaIhx71a8z6OzpQhum8+n3w8FQDb3XLDfxfeezDta5v5pIPO8aitpDu8R5vVtfj2f3zkV/l69rl1biLXApbqXPJvoUpzv1V7t1V7t1a7tDxOSTZwACHDvXpXdi+xplBoGEKBovug91EiYNArhpnS4Vfj0UJ2wWu6t4DwVpQBf9gYD47lH9w1WQwHJwyLMMqkSmBtzJL9mZeKhueFFVynDOaClZK0HCyt58SRRCHpI4Mqse8KNPZkXAE907wNQYNtJuh6PntbTaKHsVDx0BgWwQbQTVrzRld6awlwFU8Zw3z1nZHoTpoX3VM3wlDFo5W6tYCsV/VR8+hgLSoKezPtxWV3x+wwralQhDnx0HCRWda8edgcUi9h2w+pgChnf97dGD4CvjSJAPzXVeAocWAtwqxScPYtCz35hf5EvIiBP7Ka4bS2VrEoVj92f8tTMI3EAIQJqJgTyAFBnfg7HmfLFLUCZ30sRZCjcBDZJH2DOalTNPUhUDfr24BhkH500M4mZa3urJSudAxQFOI6BvVW8NWoBEdAZ2l6yUngkq69kJCzdXBsLuQgYZfAif7yPBqRHbGsVze95VvSWfK5Ml+KBati3hreNakh9KO6ec3RzmesgmCNIDH7cfvdvVUhGXD0q1s95Kuo+K9edXafM8tnh9hK0Khk+F7lDvC8KW9yPgbfaXMyAYZBDGdY3fMTCQp6DIMgaHIjj3TsVxwfgn5YZuTKGPGD+HgQyr7PSNnseI1nUpIJMIPOGJOiFk9EE2RJhn5z7kNXNXJZSvH6OZr5S5B8B8c7iv0MEQeBqgwI8jo7P0+OoXOt6KEnNrdXMyzmjlokIHmfHGIq/vN9cPIHvl+ae07MPD7+bOYSxnn+0juJ5WD06QUYWm9KFZMLfuSYkedNzOP9+4RZ+jijWGycUYS6lxbv1ux6+2qu92qu92h8mJHtjbREdU9nKHORfCkCthr0lUTmOq4U1JO6fDwBOCnwXkeLx21H5HTN8ghZIyZAZ9Yp5Bpf8NI8DLoJHV5zC3IcbPFxCWSNiLYAXMrCRl9E8vyTCPm6NRbpOLPe0/DfSLJSsgMAsCu+dwJe3DWchwIyvCSSTq6OYHmWKPUk5CIL6QJoBKJDCMTo8VA0SIUK8j2FMRlePlTc1B3QexmOC43QrsHlhu0JiIFXcU8L8BIMnQy/5EbHhRl5FGcpKzz4f1md/Gxjq9Dg6SSuQlbNFBOfwooKwzCNSkNioGd72CuvA3SyL85VljZnRu6NmeGsNKh7mJytA9wryhYn/8zau54vIlQIPPYsEbThIWTwqrRQcXoxFnLDFeifMjXj7qBEyLaZRdRq1ZDKw42aSGBEmDavhPAfD/rQTiAmldlsrqFvBLhWPcyQBKAJPdp/jk0ISMvsQ1EImHAP8+dgaPTmmroiWZl6uxeFGh/d9y1odq7G7D2VYp0wVPRLHlbrNubmEJc1VBncIeYy/QQ+F9lA6E1/3ynoVVlLdqxTWE4l8KAFcctxcHY4J05FP8dNGCe5zDM/HSdjtksdBDzliCy53UMwP0ntwfVSSCGatkPjLBUfPl+X0jCyfyzwseFF4F+fv0ygi/oxifsSfwxXpimDbGHwXtXHmNMS7mV4TGivURSuweBa51gSCxxh8coWhmdoV0jy/SgTjPvA4XRa8TgXErgqxgtNz3lRkWSdcS1/vB2pxSXmzFFZoJYQ8nlhaPoqy1CiZRgBxoxcJWL5WL5MWv4bXUHK+QuIek3gg3v1zPylFMPw9HUp2r/Zqr/Zqr3Ztf1z2txSM0T2UwyBNcHSF9ecDr/8OS35Yk87B4nxBQgBMUOeAe2us/h2WWoZWecKxWyeHA+lWC6wA0hUFzhBqQYFhF8GRIGIqCkXfklgVQd2Yj0GMaVATl1ydVsswXIbxU4SA99RBCzn4h0sNjPQ28P+lOrkzQCzyblgj5BH1WUQi+xN7rQzRydCsCBFxQmSen+KbX4Ss1FpwV3ogxkmPVsiUQpgTFOAsLN9Zzboyr4GWZodkQrDZNoZXjW4QY20VGL0Hw+VAD+uoTiTDGwSjZfu52ZiSsaUJHqZobsWOBNjifSbABR69w0TwT3/9C77cbvjXX39JwBLTVTE9A7EGmxR00yQZ+1Y9tGR6zuLYxDoBbkUgLoe8hoZdyHjckyt7Rd0GmBMfJ4rSPIDQQ9LOobhtFVCgSMHbXnAvrAtzmmKvDV9uDSXC6+AhKcClbgbzg2pakfNzkbk+EYC5xNQi6AJzIPi3vVWqkSk9oJEbUzOHhk3Nn2lVz8uZ4BX2nVArvhuteLyShPjv3Y0S61jnOVxaWkcmq6t7RMWfX5igO2k5x0BrDUWA9xtVnLg+Ii/J0qI9nIzYpbPm98VrZy2LC6mawBSCiyd29TJNs/z8uYYS2eUv8wMDsKWk8fz8ismnd0YgXsNjCe+rksevUHmdkyKC0irQKVRxangxowBt1JXy4p1ujEEF37+ZmubvFjPc+0BTI6kuS+6ZMYyO0r98TrnuGPIV/Yl8lRA9YZ4Un+X5ep7Xa4snJQpkptfD7/c5pyaKZw5zYlUEkY0fMuHBLWeI23UcdxH0UqaYyqu92qu92qt91/4wIfl6f7h13wvbedhW7tthtXt6Ecd+P5QWdR2Ku5OYFTRFvoim67zgY4wMh4gQkthUh9GyTUKBtGiHdZTSxILDd5Gzj7zemhoSfRymXt3cE8Id2IxhaVUL63psqGaG3sfTzjQTw3/7PBKMA4y1f98q+xsJ+OK1QgBWag9O4uA1FWZWgFkK3hoJ281j4M9Oq/FtY6JvhheBQHWrhRW1h2ZBOwIYhlFsIjAHx+fgdYsgQ5YAD+15jIyzH6VAKwEpANxqwamGYxhrptSC0UeKFESHLHb3BI/8w/D8iscYXv/E0P2LzVj9PHJxamU15DH6HEeEGpBbvH3c9tYYnuIAShWwrvTE+Jo12FQsSvMz0jotIjh6v3hq1kVOL89UPzNxNSwb62Gsyi7hozCM7sUapaE0gqFjdNQqMONzYEJRgjYIsJBWX7jldrGyAxmK07xifE+vmj+r7pmLOX6uMdSKMHTGx0XN8BZkxK3FkaR/esG/ELzIhF9b8k3m2Vd+z7FfrNQJ000wzpHPKJ8zRdvYBwi9RmdXJ1EDo2sShrjm6AYVAt7mHoviYhHdIqfI17YgQ8tyvp7eEeaAmGO+kBBcvzTzR/yuvmMZ11/jHfmMcuc/JztaDPKInIq1hRZG4UsQkRcU3umVZ9l6DeF8Pc7uAJwhqAJfXwUeFjrSKJXEM9SuPDcqCXFcz8eNYbHTy9MKyWLUohmqNBKcNYvnxrqiZ1bznbDXirfKeicr6VrXW0gvPxfeXHMTI29IgBQxGMNcPjpIDlDjXRgfiGQIcFx3jOlRbVXQX5zk1V7t1V7tu/anJLWXKmkFj01M3NxWK0ORjq65a4aFM0DKKZGwPjf7sMhDkOD/7IrRHBR7tWCL0C4oEPhKkABghlTQy1FAl/leuLlNvkDvB4CZwG1Uv2pu4b25JXyMWTcl+r1tDG1pteBxdBzn8DAznZbLABbxpewniykWD+sxERTjGOkKzPy74l6DrG4+zMOAnJw5iFhrHsBmvsIespdO4g5jMb4IwxBhWBv8s9NsKpsZ3Ctis96FuWLY5rVGhrlCFM/VjXVdfJgZkrEVSOdglw1ZbPCp4DI3diXUO3VA3NL5dmv4OM6stryCQDPDL1+/YWsNMIWo8h7Fq9oPgqehyjCkUKJqBLS9m0tWL7k7Ht6lql5XgTVkhheSLJ7oDl//5mt0TXRdPRRBGuJvYSGGwENSGGN/jo69NYai+bNWTTBOxeepuN2qq0VNFTQBiVgLxbMFnAZA6vGw5OcCSVS7hDrK/Hv3OV3DkboqRErmWdzPnrkyqT6ExTK+QOk8swBWl0XuxHixagCwJI+CaeAwzByHeJ9w7LFcxy7XAzzXqA+ctaK5xyoS+EO++eM4vvteINuwJ6R89fzT0zdWFa0fIVFnqcslJhGxSdSX4zNHDRNAx7XNxzCIkvg7h+9Fce4neR3BVDEXmWQxOGKVkqQFcGNIMBJZ7w0pNx3Xz4EWgXgeHAkRFtVC9tMQMtaU5Q0xhEcfFBfRgT7GysFS5CKJmszQr/BsJDkLgrkkFc5xmApbPGYam9bfYSGFjjQedNjFgxf3E81f8TNk0QSjv+qQvNqrvdqrPbc/oTCiJXDNDcl3s9WSJLgC/QBoPADp/hYAt62gd8vK6KUYxsFyVh+dljMF0lqroGemVEHdZvhWAaBVsnYDjCFEVmj537aNSlO5kxN4Q5B5K+agoKtSttRY5fc6CMhdPdSm6jBs7pU4jpHJzVIkC0aKWyszHAC0QquEtZzj02qhalg0IQGspTKJuHKH7wp8jsF8AgfZUlilPUIg9lanyovRAizG/JEBeBgEZ2daxa/qTQE64PnDkaag4so9Mjd6HYaOxC8E/EMxHh2tFnx527luRoeq4vGgPHHbCr5sO0wNv37cael2cPbl1lAq497VhveB416k4PNxYGsNfXS8tw1f3r/gl29fYTD8x59+wn/77TeU5iEbwRKdsA41HEsI2VASoIIZenYORR9AqepECoCPd653JyUTZLpULtxL57K+HErJAfIl4Z4QA0xxP6gAhTK9HqhU3GqlZH2MzyOkUadS149bCExYXjOQXiRxq9mi5iZozdWJPIRmhBiEGfNnzJPKt5KhRsyvWWL04zF7bhUTNGP1rvpyNwADkFpQ3wrO+7hQDLj12WApmBA5ULSgOzgPKz385CIkuVIdvFOatptNz8oyfwvlhRrSU7Te12p3CM8pMHML0k12ZYN5H74g/HfB80QueNxzhBZSsPQ3zhPJ5nE8ECGqlkaKfgy0rULqFOeIXBeAxoK9begegidlhkqJIEPjLA0DfiEP0ypxa+bGjDLzMeI/Bi+oqBQOEKHn+ByKY2jmKGbtGD82PamC7JNhejhqmaqFh+enxV6ze2X4rpbKeTDP9zNDu7WUBy7uKVY1KtwJuDcgCFUQH3+O/NYsSJ5NEvPEX17t1V7t1V4Nf0YOibi8aby467SkFRA4R427BBj+ts68BSwF7IShRx091Vwi9GMo5U2rMOb4PGhpP7tn3AoBtTlB6g6ozDEASZFgK4LHeeJQvRYIW+IwSiWY3xzs0fI/Fa6wgIBaWf8gErtrLWjbtG5GDD2rVNPaeHj9jhpgFHMTDcAXGzaBzBxDKQCUoSfDFN2An1vFb3142JVgACiebyICDAW2MuuuxE8A2CA4PUk5PDYhDdphXhPD8FOrMPHicAKoJwpF3HU/FW2vYRKE6QTnoWylNhgq1hqGGq2eDqoizCGs3W/7BlPF17sDYFDS2ApDyLgOFP/p53f8/fOBU2cY1nEceCsMPfv2+YG9VtzPE/+vv/+Krda0sEdRQABZOwIQekQMF5C1WqoNJHmuPHsBpPD5MiepJvS+VcSysSR28XtMMfyzCOEKL1QANDPDGeEgVfDt7HhD9ZA6vZwnnqlwPqyUIEnldWlluGVIMsdhw8NWAnjC4KFaEZLCZ6Z4OFD1EDJ+33M+5uOVo2UevmMeonZJKAbXeT861J+dVspq0XDpWn6pd8V5DJTm74Jh9MQJMPo0gETeU/V8m4+zX2SLIdNTsDn4jT6HWttqBV8pw0pG4vfwFLKuxzMZiUGxPJesrAPId1hcIQwF65qMd9TqMZn5EGt+j4sdFOZ8ELzTyLKVljeQRWrBMCNVy0T/GEOYZf5VqJSlGcXX/1qP5cKzSozCIhcNQ5OpgGaVRTU/tV/U3UKxLCmizB9rLZAoZmtGo0uIiMT3FPRii4UBS1LQpHfOcxDvKhQC0WVc85m5rARZptOfFSd6MR4/DO98tVd7tVf7B29/modEPAFDQBDfoRfLOg9ercHzswA2YZFU1VTC6UrPx2ZMnj/D8q+0XtdWsTUAIl57wgE3wArYDgjZaOUtAPYiOBEFFhewZEGqWHFeS8HWCrZ9w7fPY1osY+MzEpVxN7dqA7dby6Rtc7NlawW1TKtdL5rAbi38xzh4frbXiq993YyRO+BWKdt7DIZEHR5HDWOyevGijpvBJYEZ/1y86vGMXLDcuEstrpykFwD01qhU1A0YNjxp2rIicmzDEbIVpDCtguJWRwH2VrG7zPOwgaN3FrITgZWCbedYaZAVBwiwwnlxi3sUOVQz/Po4UUtNS+2XL1/w27ev+BwDOkbGlqdnCsyFCEnjBA/dsgZK3r0Dm7qCiApP2o1JWSHpXNfxsWIhLRYSvB4eFgg45wIJBPm9UOdimF3UNhA/l4nhw718aZW1WS18DD5LV7UmouO155McZXfc+u734D+L0DBQa0mAWQvJPzyMrXqoZVyw1YqOkSR3HVxVgz5cUODGuhPhQBiujpUAUoEjkqnyMWQnzlNxnvScFM+vGaeyijtijTqYd0UpCdKYoNiPXcbyHJRfDq9khu/gapfw20kp87ioc/N1OWS/LS62fo6n5vO12C2w1eo1hezyxQzN838vHGQ5M79TXaFQwqMwDB/jzHpJBNOGrdR8D4fBYNaREpyuuCUSHhJ/LjMk93pfsyAhFufPHDOOF58LVcOQ5QTL7YZ3Zh3P6NsyCFkAtvdltILEgTmCrQqKMYQvPK391CR1OgxW+L4LWe7rjNll7C9/XQhIyGrX8sy6X+3VXu3VXu1P8ZCI7+5SGKKxibCgX7y6fZeKSspqrGYeL/YBjwN3c7q6hfp+nKhV8FZqelVsELh92sCtFey14CwEvKpAiSrDpeC9FTzUJSp1KY4Gw1YrNqHX4OMeMcOSRILhKS5zOhiaw2RuEpFaBDoogRub4bSuDXQP+4laIeZkZHNJXBzcPMeyaZp5zkTxOikbgWhfQZiP5VADRLE3FuB6mDnwiaJoZAQG5nZsrXAcADzc+hv9HoO1Y1Q8hCu1P5lIPkyogBZejJjzsJaLYLu1DFOKomwJQtwyuTlQFaH4gC8gehoK8zsOG1l75tE784LUUJqkXHSCFveu3MfAT7c3vO0b7o8Tv379itOJXJC9o1N56cu20WswnAw4IPsd3HNZ5xYAdFyt6RegGdMUAH6ZNv7flgrYjsry2oICzxXxfxtIpmAET5sUHJcA/OWafh86mAOkxlh6uAchqmAzL2ZKqsaJ1nh7n9YL6JuRRgFIJ3iPeydRWVEZj2u1MgdE53NvBdDHzEuKXsQd2SJ3HeEuqzaGFCqiAUiJX1Xks2fwXDXIUgRQJpHwS0XInxlJh2AmKpuBRhB/h8S44Lkvgu8t38+EJcdRrp7Z75oBTmyKlOW8ridokTc3T1psvoeLd+i6lue72DCNQCaSpATge2ULo8kY2GqB9knEQpXKDHhrFR+jJxG7jGvMopO+CKmjqqIbjcKok+MjSaaKTE9dLQVWKS0PQwoZrK06UU4PCea6uZDuyz/YNB5mi3mcaoPbVqDFx73MxS5r35Mcz1+rAMNzvarIZX3+3qy/2qu92qv9I7c/gZAgk6MxaP15hOkcSLBxSWaVCTxiL4i4+m6KPkZanEp83xj6pMbrbUVwKwwP0kiSB4Ai0K54uzW8bRvOj0+X7BTctg3388RHV9yI8RifjJB3RG5WETbBBF5ufsOTJQOYbK3w3IV6+7VStQcCaPOEdgdEAeJXdS0AWcW+bgIMJoQXISiNgoXqITGrxZOhWYbWGsYAdgOaAb/1AROgd0PbkPk2rNvhick2x8tcHe304nC2AA/4te+uEjPNyhNoBYk7j56W8RA0AFyS0yWbizBf5rP3tOBGCIwKfzYpzCkpBW/bDV8/P2Y4HqYvIcBHKYJb2/DWKh7HiVqA//i3v0L7id8+72gsfw4AuN129OOEeLJ4GYuV2vvdSsG5SAAnFCyghOmQBGdc4hNAO468PBvRIgRIYv0IC8w1EajMauAQFzQIS7bHtjM1gqBvE/ZxXghJTML6rEaSD++jAU7YI9H3SmTmyC59Xiy/giUxN9cyrt+ZE/Rd+oPIFGHoQxFVL+tWKGvcJOVUY/BKE9hJ6e1SCzAM50FPSymC262lbPhKnr4DioXvjiQ9Pn8q/lyUkiFHeY/geM8aNjxZSSI2Ry3UmNbB+xGxXT0nqvaDI+a3S5nj7XaabD9S/TKzWXNGktKtLHICc+9/zmGsHycPj4OKWu+3jR5DhBd1Mg2FJVGb1IeekuEexeq1i8ay2Nj3Za35jVX33IbCW9xE11lbJK8iyBC+i5ekcJ1lWJkJpPnCOJ8SyZfFbz7AUngPQYR6p7Rx81pMoSQZz/qs9cL/MCrR3/9wxbCtQkSwCZ/jjuvcvdqrvdqrvRrbn6KyBeW+F6on59CMlTWEJC8tTjoUUkMCZyaYBgRrIjApmTDbhwF9TIu0t5RQjGKJKxgy4OFV1Ed+yWCunX90ZeL4GldsrvD0bP00T2JPzBnAnPtcgIDbVqhG5f241YKHn7eW4mpOlL2V6R5gv7wfBRzHUsTlYQWIkBUnYhfQo6xKvoK/rQhO3/g/z5FypqUWDCC9HGfWC5jx8DmEbqU0sC83Kfh2nMACxsIaG98hCNAJYItLACutmT/vGx5RWE0ddPiGXkpIghqO3lFLwc09OltlJec41sDq5GaGn/Yd276h1YrWNhyD9RW+PT7xT2/vnH+v+g6wwGHWwVCOSSkF+jgXtObCAqBF3dN1+GevrRBYZk16jn+soGkuyPkjiqLRA4KsAxJ4j93jWRi6QlJbWc0BGXZkglFmwmyM4wqQI69A4loWluqYSrk+VLmw5trnvMyPx1AnSclNef4yv5NE5hmVi1v8i2G41blsE5zyPmIcSRTKzYmKkxEONQUNJmCn/O/wZ2WVCg/SOgmDeT5ZPHucEyEK5Xi5F/ZiRPH7VVimuRSZ+Tn5uljGZVkWl6F9JoEXJicEsii41qrxNWNP34p+TfK5NMv/zKvllDtBs6vJnhLKJY0Xe61J+uL1yHdxeO84GocXngxQLv6d4Z7pJPHeycwtyfftVFZT/07UJJmcKZhTvIfnDU+54Xh3cV8Yh6HuZdb6WUdkmQxV1rWK94PBsO1R58oP87VWgjgvczMJ/ULiJVQdOeZnrKnnRfFqr/Zqr/Zqf5yQ1GUX7AvILZXVfUPONayqYxjE80Ay+dA3XgXzHNQMRWf8LsxDiRYAW1rBaUAT4LZV3G1QfhXMNXj0ASlen0FppevQjBEWt+KN2CyfcdlTrEUk3sfmKBB0NTQw2VsNuJ+KspVUfyleoFAKWAEdJGRbqxjVAPV6B8a8DZUIe+BVhjF8oohX+hWPYU7ZMIaM6VAcg5MZYWPhcVCXr1Uzl5Gd4ReZPOubNW97huMUMFwl47g9SXut+pyz75vubSvYSkEHa6CIy6rWUoAoHFe5SUfuyopdDfREnaqQ4/DQNOQBBQWKQWBbK/Ztg5SCX75+RZFCAQE1/PrxkbHan0fH6WFvQWxVFXtpzHsKK/JirS1iqSZU1PN70inBfCV+Z+rLZmG0hdCtRNkPy1AV8zUt3h/UeZIgDpGHpRhofq3wKFYD7qqw6CcIAkNymHxW85okehPIX8htgr8ZjjbrNbDnFmTjgoi5kAL7xtoiPn4GXoJS6AUzKNRDCuNZC7gYnqDSilfvRpKRfa9pGQ9p6/McLiPrZM+FIwLAz/ucN6x5tbjjvJUMt5ES4ZRPc2gONJffg4BKjMV3dx7Ec15tOi9izl1pysFu/jkukO+GSXqzyOraxfTe+Hee+yLw4ogL4QJcurt5baaZ1A+wrhE8+X8laucY6BreFj7B4QmLmizD5jMRYH8lV4aZpzXVGnlsifwk8FETRUoGmz+jvKcncj1L7GA8Zr5evLrWQ+NvfRha49rZ98p357LYQ2hE1VC2ciE3awhXfEOKpLLe8PeHgEaGV3u1V3u1V7u2Px6yVUOaV3COGZbCf8+iEgGiYoO8tZrF7DJp1UFtdRWlrKTtlahPM1fyYUL32cesdyIC9fCW2ip0KPMUPIejeLKs2QT13QlRqGOtRbFWwJ4F5lZ8JYslTyOhkyDz9NolsenR+2GuPz8rOlts5DJD11jngZ+fapDGOhPaLUF/WPMgwKaCN1QMcW8EgB5dDJAgPOdwUJ6baJn1K9iz2ZckfwBue8U973GSlhVsl8ockJsnj+ui+JQAPFBWJpcj10OCIldpa6VCpMCM4XtmDKd6bw1f1fC3L+/YtxtarRhj0KrrtQuGqwGx+jrcei8J7NTnCUXw3jb0cUfwnrjpCDdJ74AD5MiRKSKw8b21OmrdXKRY26wLkfkAhiymJ5ieq+IZ0FUED51hJgY4kCleX4RrdHRF2yq2xkrsIdUbfW9OysJqrBYyxpJEkN4seM5JnUDdSA6751WcygRvKTLr2wR5cgliVZshnJc2QXIRQVXARL0f00MaNTbMB1SUkt4AyUgNFT8nXucxljogkiAdy/2tTfAE6qN3E/1DwLSbJ3s6RAQ3TwZfQzcl5F+D2gTPvlzf70/wvSSzzJDRfPfMW/C5me+fddxlDlaOML679kpg+PvQdZzZGDY1c3zSgGHTiypCMYZIdIfMd0j8PSWAYy58oEnk4tkCFD7/+YwFIeVaVABVQxlQYJ5+px5CyvfRQjzzZm3WC3GDlFSBLRUJJZK7fFxifNQMmzDPcdaBcU9aCLeEx21ZHunrT3Iocx3AZY7NMnfn1V7t1V7t1a7tT0lqZ32GqwkxQIGZwTxspoTlrBAUrh6QqB+wFU/gdctka4wfF5hb4hgmcXTC7ofB84INtRUMr+exRZiUOAHxsBcRqlKFfCPVjlh7Yk3yJSjHLMCIqZMvAIsWmuHhsqylBLqbofAiBObV80kigbR3Dy8oy7UwQdkwTkyrzFEJT5M5Y8laKX7cw5g4GbKww0NQMl9FgLfGsT9cQSvuIULaos9vreZxAeBFgb+979hLwb99PnA/AyFF7zlWLRLIz8GQOYn14VKpuoIopLUURfL+Vy8YAJgqbrXCRLC3DWMM/Pz2hv/0f/3P+OXvf8e3jw+0rWV151oKuuVUOKjzc8kVuDx6x3kOEprqyksFSQpgkUPAvmuNPI81hySegwk+AjAmmQliHPcsM5TQXJ1oqxXdFJuDlm421dXisQJwmrI6uxePa40n7i4MEGvpEk4Gfz5ca/XzoOREKwV7432XAoiV9GYikpRlqaHhz2VEXEZIZsj+QiJZ+hpapK7QxDo4RILVE/UjFybCW0qRBICsWTMwhrpnZEoECEj84R6meJCaE6Z1ooOYX3IXco4YHhnPE4H0hWYCIFh/azWT0VslYb0f3UnUNTcgiMTz2lj/DvBZLhLvk+jrXLuxlqI2THw581YuZ4s5X7w3l8+RoYHA9HQlmTbPO3JDUhQMVaXohYi5Qp97lQVMiJc5gJG7FONd433rC0SczLD/kgUQg5BHyFOEXxkYhtrdi57FHQ0uwR7zOHO+TJcRWbwWUpePfKBjvZWFKCj4Xhygpx4+L6UuktMxcDbPGRzmmXHEYcXLuj8XUny1V3u1V3u1P4OQ2NwcRZCgE1g2Qwf+Ip6YrrMid/w9AP9YNhC4te08WW+kufu+bKyYHkX4himklPQ4/HR7p2XdjBV+ldKjh7Kw4VaKK+4Q9J1DL5uMG+pY98DlTUUEzVFGAfBwYK8KbF6ZeliBqhcyTKUreOiM5eY+pSBprT6csEXYQUi1FmGs/nMRsdjM1clHH4YurBdSiqBBMNaqxgq87RWtAL8Mw+FhPFurzNUQ8WJ/c1JqATYhADMHH2WrTih9A3bLI0AwWRt3/FoLdgDHGFBVNPfyFAg2ZeX3Gf0UFkX+N0DR+37Dx/2OVit+en+DKvDt8463bcPttuPbb7/hfh44+wGD4edW8csYGWYU4xVgNEJsegAdA9QVxJjrQvnh921DEcHj6PTAhRoRzIvzRYgMc1DEx/dqdX8iEjQHz2fC5xhwNSyhjO7o9Oo0aThHx49agPUx6PEKqWnOEb1UMaDxLC2pUVx37iGJsSpODgLwBpg8dUwCbjNGP8hH3KXBlYmWsBVKpbqQgks+32qFLfPDe1Hoaai3Ai1xbeaaiHrNIZeTjlyuEIpY16ZIhNpdcOIiYiY5CJGrwnfOEom3khhfm83VkTYnrGZItb7IpYlvrKFMZXmf2NO5o0UNokhSX0nM+h1BiBTwRuPYlZLMQLHlXfyD64aCoPhaiGsbaBT6+nlQYKR6mKV///RnCyLYvNhsXC08KCsN4jsv9OImXZOFXK1eHAFSQCC+H10/1bK/uvSX71/mJJLc+LPgIgYQJDlVl6WOLxYnGEkWRNJrCHiIla/zyHGL3DdZCagAfZmn+HnhtML5ifCtf79o6au92qu92j9m+1PqkLBmCIsGihfYW4zzV0ttbLhq2FtNtSSA8fJdkMmFCdo8ljs20nMMhNW6etG+qKw+AHy7f8LM8NNt4yZRaPWqUmCq6KeiFCaNFwi6EUSXwrokLJZF78xeGVo2hJbBTaLeSSQlGz02avhSBN/CeunJ5EMNFay+ftsrzs46GrVI1vEAuGGt4RNDDc3JyDDNUAgey+OHGr4enWSgUv43LNwjw+ccbBhwdoa9AfzDJoKi1Pr/qTV8tY7PRweENUXEgdhhA59j4NvX7qo7CATh8yN421sm+FKqmDA4gNlpVFY6l/yXsHRqEhsumlprqk7dz4F2dDzOE6aKWm+opeW5b7cbdCh+eTwSuJxDZ06Mr9FpyZyfP6O+sw+UR8H7vuPzzsrxUgSbS4yOru6hIhALwzBcJnlaZadlO64ZHqBuxhwg/3s8K8NloU2QieycJrmY1wsYuhLeu+q/qz8ceahbkxOmukHgGIOkxYna/VRK8tqstWJAKteFStrRB8H5ek7/qV60kmuSz2vWXvDioyEja/DclKj03r0InidFm3AszTSFBVKOGx7mWCYoRyu4iXhY2UJuZZkDH/+I88/EakxvQRy8niOKJ8LHTscEw+H2KkXwvm94nN0J/XyILx6ypRGIT0/Q5W/Rd5ukxvw7ZYkzunp73PDhn+lyzXhXBPJWmEciscjoOCzDOuMwNcM5aOgoDuyhSAKhRinq0zVs1SLvx9eHcf5WGeSKGTKYj81CMKKvxd+LywOLCAt7fndwfYF1gYA5v/5MzvwaQ22TuAdRCQPQXmeuY1yZ6nezDhC/ZjDjSk+p9+cJjPkCjR8VIWAhF+fKq73aq73aq13bHyYkBDKAqKBUZFw1gLTeBugMS1NInwJwsKGeA8DN43S52+YWT3XAEjK6lJDlBt11OGhA5g7ERndewliQITORk2KF4R5ftobhm+3NVZv2245fvn1DP8/clAYM1Qwf54AardtvhUnCkagPMH751hg6ZJ2b5rZVL4hoKEpL9gldQsBCjYz/VvfEQATHqZ5/gBmj7WbdYexXKP9UEexFMCzqkbjnSQgsI6Qj/kv11e+lU/ug12AYx1sVCdDFi4xJIRmJatbhkUCQqwUkGZAAd6nKmCCHXrTC3J+h+OXrV8aRG/Dbtw9aKoVhSp+f3wARvO07zt4ZejVGjk0kQOdF8r+zrf2qRbyit0BF8e24J5o0pYITre+ea+RW4Rogw5OsI0Y9Qr4Ua90Wm5Za8/AN5vmnF4dgG+hh7w5r8QJj2lbRXUEukobNx0/NMhwkLNEBNAMAQoDPs+daiWfhRzU0jsHwsLXIXYDPAH99RF7KTK7mPU8SKMJClOGBizyFavxO2Zn8K8Z8kX5GHkfUb/A8GPekQpm0X4obBcKoEUaQ+CnzZoKYik1Duc5Bnrftz9hWhTZwf2cUoVCE2SQyrG7Od9HGpBMn4kEarmcP0AyzTKqfn3+/SOPXAPrDKJRRlrVbgOVMOXVJRGLOsjaJkxF6lwuOc9Db4QQ2n0X3fFZffUMmkTj8/bzV6u8YXnHlC/AxWsMbBfG+t/Q6xfqKdTLfIVfRgJirUPyy5W9BKiPETNYvLoM5l8MsViiYIYeX4bdJRoJJ1HDFLZPzPR2JcRRgKKzyKgXC/eMHx7/aq73aq73an0BIiofiaAEw6C2xc6SVaKu04n6cPa3TpTLdPZJlY3OPzUSEZKQVVtA9jJsdxPNBfE9gMjM3l+4KKNWtaV3p6m8R1uV/b7UCYFjQVivDnbRjKNxrYlDt+OXbCXj40OaJ66dbbQl8FSUAuhQWaFPFOCnDWwdgTWiZK1jIGPse8r4EB1PRKPJDighO1VTFCmttVv2Wac81eIK9EOsfrg4gfu9vtWCDoG4V3zrwUFpFY2y6Wyn3WlBvG4YqHq6uNFQpg+oETNWgQst1ADVIhOpE7sCsal0rwU3MffOkYIO510pQVPC+7fjL2xv+67/9gjFYcTuBviuaDlV8/byjgiRsa8wdedt31NFnbkyndTZqriRQDUSFmf8QIKkt4NOENRjuR1/uYyae8/7LBYyICNBInEsmZvPCUv3iOtc/fJyEy5HW8KwCrSm0EGMI72uQEQDMqfL5F/f4zZo/8zuyKMIWP6YW1v0JWVf4c6gwnGPgftDiH30IT44Uwc9vGwzuyTF6wiJsxw3aF9CsqnicI63Tce9mJOqtFS/oaMxP8u+lwpqr98XDowBsKKpS/leq4LRxFSbIiYGDUU/yd2s4reT+IC6H1iLMqxF6FFcwPcUZ2P8IOzojb81D+E73lKwkwzTyTiaIteW6WD5LzwpmKFFa1+36Bf3B9wF6kyNBPj4PmWni/sWLLUEeotaGpZFCwfpGFTRqVHEPAWTmMomkTLrlOCHXVITzdTUv9snnpaumd2YVe5jnmOOfYgxF8HDlQPHp06EMv9KpurUaQy7LwT3XMzRwelW+z7z5/rcLb4zNa/mD+GdSBFJ8X2uLUey7Hr3aq73aq70a8GfkkCC022k6HA4eiK8Eb5XhNZtbDrtbnCOMA25tA5aNEf7i9mTGsMSpOtgXJrafSqt/KSxIGEnqp7tCWN9D0YSJ1WpAKZp69P0cmdxuZhjdMBrjp9OTA8MwnnfzmGp6HJyIDYNCMUqBloKhnXKhZgl21Azwfkax37jnn/aGAsGv/UQpdSkMBoI437AVEaLmimVu5dxbcQs0QZ+UIHMFw+xiNS/moKkB92PgNMPdiz0WAJsI9ir4RYfn5JAg/e2247cHE6HF82VMLS2V5mCRcxcqVvSYMbFVMuRuKwJUgr0MRwKw1Z0epUCVC1oLxRqB4ePxwE9vN/zzX/+G++cHDAIdAz9tO4Z2HGPg9tZ43x2QKE4ZSasLRlljxlslsHqYYnidGnoxCsbgmiXWMJRWngAIpqKQhyyGFyFiZ1Kdq3poYSgFKY/f9spwrUiucsI6nDyu4VfRgtDVIkkshudUBFkM0psFOkEgvnmtifB48JkzHJ3y2fejpzdnbVEMdKjnwQRQFq/y3aYMcgx3eCbznbF4UlQNN6n4dnbADLe9ZRL8lKVluCTj8D2UzGvwdGW+lYD3dOp8n6zXVPMK7huyw+lJ4fKlMERjIU1fyth8Di7S4IJ8LgXIPBbOSYQiYRpgynziVxISJGAttriu0VqmtGwId6jNMMjvb3P2UQJw+3iv3o+QAj/HyGdW4KSzXJWgIvQrSGYWaoTntg2GuGrWIdFJ/gEnFfxcEKDfaXcQJotxw+W7eVc28+5CgXAOIudWu9JTtc1QrMhJ+Z6Y+HMQRh5/YKZDZVEN85sXsIZUyQXj4/00CUkAY3LNMHy/KyXEJr4nSq/2aq/2av/o7U8I2VKcg9b9rTUcOkH0MODQgVvlZfowKkGtm/B6MpubUcSzR2jItjUco0NPRan0AvShaX0bsAQYxzkIVEph/LvQYs9tp6SVmBuqW72N4Ps0hUe0TDncCrxtlddUncpUhcSoCJWuGkrK8Q4DJICp39u9K7QrPS7++X0ofto32EEy91YrSgV+O3paCGNcwjZrFqpIwOMx3NorGbqivrlue0E/FadSMeYBdrYWwZdbI0hVAsn7GBnSEt4ocdJYhNb0WgsefaBtFY+DNQnCki87Y79r3bzmhwNdn58TJIdwVZ0s/QGCka+fHwTtCzBYk6RXE2MpBff7A98eB35+f8cugs/jwPttx1upqJ1j9zk6RgHsO91/WeLh3RLtuQLWed+FZtokw8Mr2SNIk3uyVvREbCcRR+N9ZccNQNsjHp2gShX46f0Nx+Ogx2FVelgejNGN5C6Mv8s1t1pJAoIYYBKtICLDLdGbW+hZoNPcsm2XukBDKW5QKwlp5B8EoWu1zNArs/x7AZXkhtfZyR46sWqtMLnd7y2T39W4piIBfixKTxKKfJj5FhagmvdExTpPYvbvBBaMtRVULjxT7AMfqgIC/60VJvgLcHcPb3g8IlQvlmGuz5hmv1atBU2Aj0dPw0EOQoQuzaVx8Qys0UURorXy8lxb7i2+hthNj0gUz4x7E18vBiqbtdYwiuI8e1anz+v6HKva5R21kssA52P5nirXlqq/L8O7Yf4WsHm/zWtAxU3FO+LiTfLHq3guWoxH/LvWkv2hrUczrMuU+SI0jMTAunZXvD/820UoTlJwbStpjJ9BxlQsvX/Zh6cvx9REuGb8m6QK3zOuV3u1V3u1V/szKrUbihQcyiKBrTC5OoqT0XJpeHur+O0bC961VjJPRN29HbbAzRPdhxEs11JxdMXP7xsAw6nAYwxWfbfYiJX1ScBN+FZY1fq2NXw7TnptvKlyR7q5tcp8VwsrZFjTY2O5tTorU4Ob3rZVvPkx5xiMNVbFRz8ztt38BFFTJav8VoaTiTEfAJ1jsreC83QiZoYvreJb7xdAACCTgTN51Pe2yAUI0AwzJu/XKNQYCaMEDbUwqbUq8HE/EySPHknrhttWE8Seg/0shQpUkfsSRSwjrv/sJ47RAcwK2bVUVAParQGmEBOUIHVSIDXkPqn8FUn8JUDdAjpgoIz0Btz2G7oqzt5RS8WjD/cYcDXpZrh3FuI7u07QI5HjMuPNP8ZIziPqoSvKta3aUQSoW8l8HmAhBnaBJFDFExhESsoGUYCHWJ3Hia01PPqZgBWYik2cfsMYBN2RRxGQpquiacnk4AnOwmJtKaKQYN0M996XvB8HTbZKrwLbFuF1cEJT03KcHgObFvjhoYLHOWKgCUAbf5YiOI6RwxVW++H1YuiRKBQ/8HHQ6DME6mFf8jw+Q6GlMjTNJnGfxfJ477VJ3lskYd9a8do/rEpucHC9gP583tRyroOTxvyLkxd1kE+h8qWf8X2/r3AOxly6LkJ6tGBIi7z5KoAt3q4VRRvmfQWRkbmO4t1zjIHzHIAIc0eCYINra9+YMRLhrxfYvBBezet5bp0xb273EFjk80EgXz00FMJwODV64gZ05v7Y9Yqs20EC8t4aWq347X6kV6VUFmDdW8XnceJx0IoU74ww4JgGwY3xy+nIZyHIyswpku85w7oe/KhgWeIv6ZWsxn4Rc6xDmQslDDV+tVd7tVd7tWv7w4Tk7CNzlM8+3ILGDagVwRDgNx1MIHdArMp8BBiLUB091LQKdveyqCoGWIm9FMHjZM0IOAmJRFwR1r+oW6Hl0K2lpUzlIAGAKqmipcM87MQ3RGHIV62SFvO54QDFDB9Hz12sNq9noupqNB21FdZZUbr2Q/r3HOrF8hykFnpmHmfHDYxV//R6GKUw3Ox+9Cc0MFupBS0STmPzBRWgeifZ22rBX953fB4d31w1qwgQ++AYLDoWNSgGTZm0PraZB1IrgW5XT8ZcQqxieFg4saEYwyZGeDiMoGx3SdlilNldwy2aFFQp6FAmzKsTklNZnwMEWE0EP7/v6MNwP06oKXof2Bzc1FrQB9XG1K2zqiz1GMpVIlM0oHdDaUsYy/ITYCjU4aTXbBaK22tFLRX3YyEPq+VeHBA72CluhbUK6Gk5YJnHIfQaHtqfcgHmINda2Afzooc6LcTwNfh59gv6CYWyQEebq9YdXRG5A/A7dXr0nVU4wmS2jTkXIwpzSvTLvT0u2MCFBSc98RBZ5mvAMJORHSxDeL7jGEmYpU6ZawPvV8TFACJfXOZP5uH4OK+EDzRULBeEwdLzVUVwc5nq46RHI8K9GOqG9BAkmQdSTCKcLQLmM4nQMxvhoAAT+bnukNeHSHqm1tkW8J2RXoLl+WcfJIvrBXheczXmGl68KuFh9RygIqxAfzj5DZZxUeRaQpXWd+C6NsQZzzINTkxIfCOsqgg9jK0WvG0Nj5M5WcNCYCNUz2iYsGVMeD2O1ec5sDvRi3GLYozhpY3PLspyTparrN4qJ2DCcODIf1kJRBDN1dOWX8T8zOIgmR6e9KhdbiX6GN74632+2qu92qu92p9UGDEth+YEwePIu1KyFmG1s0g6pCdFvQbErZVM0B0OvgooXTsKQeHX+92lgj2JUqbF94yq7KDU4psDjVC8KQ5odjD34yGGeygVCVICcozpSRAwxwQAemEoyZedGch7ERxqnuPBjfBWPWfDQeapLLZXCtDHwGnIWPfqCkshHxubmirvN0INpFyLdvFuDBH50kJe1RgCVZwU/eVtZ/iLA5i9MS7/4YQxTIjHGFGMGAZgbwX7XvEYmgpSkfy97Y1JqLoAHS6AGfsNS+WnVAYC8OgnKm8pxQwMhlOVJBDMpRiDnq6/fnnDUMXH/UT1mHBWpye5MABWmDvS+8Dt/Qs+Pv+On9+/QF0S+nEyMT6SdKvXWykA0Ja8GglvU0A09xAIc2DUgjyH+pWlkAN83ESQiexS3St2eh2YRUULAAG2V5yGMW/nBKVyH50qSitcEY89H77ASbboqRIv6jdMUaxcAGMSDwf/6zpD9jy+sPyawGpag4tQEGGVTw4EtrWStYVEHLDLPJG59by1Au1XPahQ2IORaCNAvRnqXvN+g2KUJr7+1pPMcWLIH2a+0HBfSoBGm18JQFuL4M0J1VB+nwX/BCIu2a1K4tUKpHotJB8ng3sMTkWIVlRIhrMZJN9nGb6zgP74h5QltAlPJMGBON81Be9747Ps18sxiJm18GCFBLimspX6+0p1qQWEUDTk2j10XNZgzMOa8zWf+dnfUxVbrZR9dlR/jkEVPDcgbLVCz+7qiVOUQZ3VB8kKsZLDvTX3PlCERoFhlIw/OhW6zh6FHCmVHoRhFUlZ7ycMBSRoSPIMX2nxmKzfe/aY2DI/PKfPlcSzY7MavMf0hTT3K4fk1V7t1V7t+/aHCcnb1qACPFyRaCsV1cFuhI5UZlYmKYEnXMu6ofv5aqmURxRhKBCQGvF7qwz1WqxW4i/45hbOtJo5kD51JmGqcAPfquDwDV6NVlNKtMbmz76+740qLiIZghY1Ni4Sk+LxyhIFIElkdAykc94CyM/O2zBazBH1UBQWtQwEUzM/rJ++YYvN5FLzEJsqBFZMavaQjASQBOYqE2AO1VnvRRVj8Nx7ISFhwbSpYFbiHpet/bZvgIZscRRsNOyFYW6sHTKS7JV6tV5SmE0d2BG0NmHFdQB4v3F5DmO4mKcIMFehd6gItrahn6dXcWdSO+ASzZUAspjMnCQAg5UMPTcmCI+DeE8yH8Nr27g3DHDBhgBkNsF3McEmDPOZORtu4QdBdHFguheSxkMH3gsLRpoLHgxhjlJY4+HPC/N0JmkKLx4ww2bc/p7tYhE2w9nPWYE+R+LCT51cBZrjj+4J5s2T4AOGRviKmkHPkWT+Yjb3Fs8kvZllek3gidtR3NEtyHED41RfMzbrj/g92FjqiTj4NcNcYz43tvTFYvUOg42BLQp9+jMc54ETSB1RXJInOYdmXolZkEO7jPwKYPeNtTrEx1e+O2aGV6kuIWDLOQy+zsw9KCDI//n9hsd5MjHdTxoCBes6Zcge70Gd1Eotl+u0VlJZLPLjTJYEbh+U+HUlPkki/LMID4x3BjDlc48+oMVmDp4vsrmWFm+LUtVwXnsm9B9DcXSgd+U+4+SbJEdRhWF4FTP0yvx9w9oiixdOlhmxpzkKw4tc9bdiDMIY4ba4zCUC4CF1C2szTIvMi4+82qu92qt91/4wIbmfPUN/ALcMb/y3uiVcFbhtPEbTxe0FBqNIW6cl7HGemSjdVbG3hr1VPM6Bo4+01Il4UnktaL7rlCoZ/jUcsAfpMTMcDtADzKeF81lAH0gCAgG0FFjj5vLow62rPI77zQwdKJU1QDIOW8I+Pa3DYsCbFJIgoScmwLAudsuQsIz+S4lqxIKaINJScYubrnjBRVdeuknmBsBmgnHTAhEPf9MIM+BxuxR0UFkKtWQMeEWFea2ZqGLfzYtEurRvRcFPtx33k1kAZdmUqzDsBMKE1WoEMOKgVA146EgvTN58/uA9bKUy/KsUjGJopQJmECm0tJt5pXs44JwA2jx8BUB6W9IaaiQdvbsy15Cs38B5Y/hagJwCkCgICe0IsBUkOIikMawQwnycVUmrG4GXKQFWhPU8W2drFfQoCR0IqEySdSElT4TAfC2VyCNBJPZ6nsIyNjVAv8C9VrRCW5mhSCTjkbO0Xj/+EUwgujsr08OCQBcnxN6Ptd82+6zDkpgXYXiWdVf3arOvGg+bnyzrsSzrJ/JqAMPRDbdby/AnglR6QqLPcVMJwgXonvcQoN8wDSvPtVyGxbMZZ8kBSSIUxAZr//3wSEYPT58IpXaHCf62Uczg375+XGSZY9yD3OVzs8xPFE2N8ZZCL2Xvir02fLkxzDLet8ihiBpS6xk9lG1S6O8kgOnV4MBGxfdI8obff9K6pauCKT4xfIFE7loB81E+x5kGJ4Y3zjlTUII7k8kx36NZ1wlkEiQU9hS+xrUSpNacqAaRWrgqf/jaD8/IciuTDX33h1d7tVd7tVcD/pSkdoYy6DB0Izo5z4G3faP07FDPrxC01qAGHL27nClw87ogo9O7YUrQNzxxc6j7GCQSRXEBLWqGEwR8fnlKCy/hReG3DxnRSxMHfMKYYoDWreK5HgWCqppqWoGZdg/RsvyELTbm1ZpsMDQRNBOG/QiBVDNxS6BlbY7lRNm/Cc4NZw9ZTv5vrxVbaxjKpOxahOpSSnnjt9ZoVfRaEBUhY6qeCD8vOTznJZJAS2V9jgKCcRgrfUe8Q6gyCXWOeQ4zWD+hqvjSWkoPnzoBUoFgLwXNrc4mBAmjTzIW01zcg3F6+FyEu5VS0GrjUrCOfaPoQT+Yz7PVwlAmSBJWNRdLiCEOVaASawlJ3MTXdXFrL9eFZHhSzHtxQHuKTnAik+BwLTAk6cREciKuuoZZ5VwaPVTvteLb6NlXJukb0KZaT4xPNCWym58u6yeul0pRVdCkuFLSDO1BwRR5UFqYsYyXOOll+Jhe+pCkZL3xtX+/8+xN4sY+tFoQ1dRLxRz7uEbXVJMrhX0WR7IGwNTJ1doHDSs+17IWQds45kUKIue5SoEJ1dQKggzMp5hkP5TgbL4MxA0fCxoOlaz44DIsfr/hhRQIrPCP21ZTTaq7pK4g1uZ8Pv7+2wdaKThPnR65hcRbTgiuC4WDc/k8yKINQ90LHuqFhxywJ62JwYi5kNVb4GF1/o7cak2j0+m5YyFhPbvhwhj+O18rHjr25JW4a4cBmYgf5LI4aYWv732rSeabhOFoXjM8pcvU5X0CVyLLPLbwRk9v+DOhiLyxHBfEalwMCzaNPmd/JbW/2qu92qs9tz9eGFGAx8l4g2pEdhEa1WpFEeA0Sr5WLbnhJEDRSJ5t+PntHf/j779C6pRoDIuYGD0gpbJat6qie4XdxMPiVXedrUQ8L/eRCSZnKJOTi1YT+AA8h+qAloL3rWLzzf5EJAvTosrNbG5wamE1t/xbxEQ3cSlZ/8rn2T3pu6S1ct28wjoqkZsggq01FwVQ3LaKn283fL0/8Pl4ANU3cSs4PT9Gh6JucHBuVDACUA3YQ4oZ6n1wGcw+cGuCj+NkSJOTJ12A1zCFlIrmIXTq1kYzAkh6S+j5uB89xQdio6b1EQSTnheiI+LHAwgFqBP0PlKlCfG5CIYphgLvW4PpyfmO3ACihwQ1apSXDWAQlk8m7bulG+JrTJjr4SskVJYmEHFg77+zcrc4KQgQ53PtngkW1bRJsjSKdVoqHtycjOyloBtli8kPbOYSiVxISfDtXM0rEF3WVfH1BPdsBUKO9ZW3ZYbj1KU6u9fsGYpNaiYs11ZQFEkULxjtd0jJ2oYaymDRx6y/4ffK50cvdVDMfI18926QaVm3yLVg36uTZhgwfGhmoczFa7bwOBb6sySn621ccL2PZxCX9dZj3cV7x5wrXqbFwWkUCgwp6WMMbJU5LeGlLaVS6AKcx7MrzmN8Z8AwXN8hF0S/3EQ+W34PqqC3VA2P3jO8zh/RyXHliegYjSvrvcd7uLtqWU5NeCWXbvFZoGEi8ru+41CStg4AV/W4iin6oE4UVyETA6YXZJFd7sb8tb1E3tVCUvyLoVIWYWuZc7YMqua/luGVIGpX4iKcXho5/hw74Ku92qu92v9ftT/8ZtxrxWmUfPTqAW5FB+79zORKGHCa4lZZz0KKXNSioIauLOwH8bhj95ikPKiHComRRBSxLKIWReLYuAEJCMZbKaD9nN6UDFlw1HCMQWATQcx+njEUp3gVeuOmotWBsIfvFAFMeQ5K7M6YezODeo6Iicu8GhO/W6OkbsRa5/bmZETCBAkPs5KC277hcZxoIvhpbzjOE/feabn3uRhjVo0+fLzMgdpPt0awZoJ7kAoAf9kaHudgvo3A5X15//fR0UCJzUgaLoXehyP6bgyb6p5X05XFKD87a6C0Coixj2Ku8rULzjETSANBRJgaJZgJlMyAn/cNm0gSq27ASdaFxxl5Q9ULYCq0svr3AOs2hFV7FqGb4C2SjE3mWkvcUYGGyrwDj82JWH7FrEkgYX1HkBtk/kl4DotJWrNbmUA2gPVWxYv7Gb7dSbBakwSzYvTM1Sb4PLuHlDwB0N8BogJ6WkqRqSzk8sRxXBEhGXHgX2uh59IR4eHkIwqQWnEC+CPvx3fM6KkZvXHDJZYvOSkGFD9nKVOdLyz0EdJpkRMRZNfDu9g/nrefY4ntnxBewDyh1iRJCoUTopKHey8ijGcB3lHFPCzesNVjIEm4Z02gdVLYD0pfc33GnKkpKlgPJd4ffWiGxEYS9w/HWOYV8lO7fh7/2CrzmM4x0rswehh+1jXJZxCRA+jPziQ9cllv63PD97UmQcwu+D+bu1I2KUneDMDn0dM4sLlIR1cXRvHzZL4grp6okMRWm5+n52NhOqaL+qJfeRgyL3BzL12slnKZO3gB00UtS+Y8REX6Zbl4vpzMGk+v9mqv9mqv9l37w4TEDNiLb6K10uLnsbxR3bp6snKAjbdtgxlDI5iEPJj/8fjMjT82v97pfTEwZKF3JiW3reRm875vLIAYdTswi1AFUDxVcV+8IBF+UwpzDvqxEgL+NAOKGZoKNrfMfaqhm6EVJsffveJ29fuLCtyn0ao/ukK2ChTBVio+T4UaFbIiRGlNuA60HNr4acWF4ePjk5KvQmWx963gWxc/XyXhcSth5AN8Hp3eBd+Aj2HYBDih0HPg59YI/n2MaNjjrrk15o+MYahiU9LUicuwwXCxPhCwohYSkgEPdVLDEFa8DgC3t4pbqfQoqCWwhjJWvvrcfz5oFW7u4QlSemqnhbvQW/a27zg6a6O8bzuOfibZVB8H9aTrUPZJsCYTPBpsxRZTBAALwMMEPLG+aCmn1d28IGetDM/T5bumhnEwhBGFpLQIvQ9DDQcUrWjWzin+HIlM4YBtK0lk730shRc5iXO9XFupgq02RL6TFAHUK7ZjIWX+TXOAHrlBz4Cu96ghYdPFsOK2JNRPPQmk5t9TUC66lOlNYIclq4xHbSDTyD3wQ5qQhJToY+SXCZqD+OjjytWc1+AcM2yxFVc/A9XUgrgWSm65OIX4CM21FLdn6zrxQyXchhfou8yJh8ApXDQgEvYRYiDMG/n14+CztIRRPY/n95K5k8SGSp+Bxp+sSaPLfIA5Na2WrJNhuXhxfWZw9QrFApcgFxLhkUyMj1Db7/oo66zM5aNKz9nWqj/HBaP3ebllyc2cRGSeTfHODkMSjwitFB8Du1wR6ZnbWnjVgojixy3YlwBCRZOFCBqujAQIQRP5wTi82qu92qu92p9ASB46cCuNRc+gKFFLAgRHb3tD2wrGYHx/hJoMQyYAb1vD/Tw9hnwmV5eoHeKFBSnJyF2id7rcIQ7oW8Xj7B4C4kmntdAqL1clL2C68jdhrPw3mQDhil5iw+Oup16r4M0o/QsH2LUK7n3kdw0z3vk4B0ZhTPwmBSdIakJ56YgYbluuZ57ICpm5D76xhZLOLg0/tYqPwRyXj95RRfC324aPY8z4aQeU6nkmEWZhw4BKInL0ga1MqeAWVb1t8QI4KOye0FtbxdCBAcPh6EWVhQj/ujf89/HI8aa08qydEiERkYvSpKC9VYYQDcr27k6+3m6N44CZK1EKtXNvpdCzZgyjMwj2rQECPI4zwbbj75wb+L+jhddAA4gsn8NB42w+nv73GlXqzJKoENOE9dmlbZugbSWt8aWI16gRmDCM5LfjhJlhc9lbYitP7m2s69MAvO18dO99uHw0MpTlCu+8uaW7uzfR0y8S4Kt50U0R1BJjJrOwZoROOriNAoD2o8GEpCfmjCqgTrSTj0T/3O3hZWOWezaUWtBPPhvF6xbFlQSuqFUE2ilTHfLdtZVMXK4OsK/zxxZ1Pap75WpoLrv3JhL/adQwhOeLj3XkQ7k34Gm4TaZ4xkqC4gPFVBSrpWDzxO+uXkTVwyvPrp5Az+/VUlIuPML4iniNmfT0JR/3Z67QIxdDYFwDIkECzUkZDRASim7lej/rc7HebqhspQcSfKfmPMW6DI+SD0MVhk8VoffY4DWkasVtazkvUoDj8l3L+YtXNMAQVRMKH+Tz7NLNgKDIDEOM5yTWYxVBDQLkc77e5OXpt8j9MX+fWN5n5iw+tQwtjL3k1V7t1V7t1S7tDxMSHYYuilurMAH2reHzODMMIyoP10Jr7HEO/No/08pnMDQHgUUI4od6oq/nVvI8xcENLjt8K4KHFyAL/X/1TUGNKlZioQjlFuu4nhnKAB7DCVDjxn12TQATQEJB+V9p9f/L3t80SZLkyIIgAyKq5h6RVT3dO3PYpe3f+/7k0l72tkv0uiszw91MVQTYAwMQNY+sfjOUeWuTosoI97APVVFRFTDAYMaWTaS2gouWZ5QZU1uGafCUm2TWdziDmWMa1bgydXcdIqH4w4pK7u4ui+bxq5zYIoNsGuegS80qVczYiEuFnr2RApHzdDob5WdmZCeqxyez77eoWgwArkB3ZujT9T6aKBaYE+BzTNxag2rDZyrrOIrGYsYAPClm+01LxeZ+UDln2xrd4rWVN4sLM6djGj4fB/q3d9wfRzX8Js553zbM1hiMxnzLRZdzxFpKpafpBhVFE5Q8KqlygiOaUD2dwCe9ZXpT7Bs/MJPJqiFcEMpZSS1yc7TWykRQJOh9I3jvUEyxRQOpuUz1NFIN7zZgreHWG962HrQnLx8PzGvOGTUn7o5jjFqgFp+b6kcJNjQSBSop1Yyq1KXKmzklea9rtQ7aF/B8uiBPr8NqM5GKtQlYAlRo9HvlvW4J2q/3WNwXb3uPzDiTF7kGr3SzP8x0B/DYmsKF1a1zWnVZO5ZkLWIOJ5L+l1+zlNTqAaAEz2NMgpwI5jMgdWCtSbDye4IKVFlhFbGiuvplvjIYHiE+kWCANLbn4DjBv4YIRVKe5kRJL/eePX0EPqoNXRRDllu7hWxw14a9KX7YWY/grEZkn1hdl5wTpO/QH18CzesQz5+3rcflkjrfy2Pl+brk7az0fkqQ3LWFCJ3kkiyQngDG3ctvJvIiT8vkOf2whpmRkpVviGcaAnBRxlyeD/iyNESw3vsar/Ear/EaNf58D8lGzwn6JyhOY7PldMPfvr0DYhBzdCiGjeozsFAccgfux3npdUDs6avZdbtQdiroF6D1jr99/4bfPn4Azsx9KddIgiVA4yxvvWGa4RzRsWGOj8iQbtvi14/ibAHDEY2N4e7ujq0pHkZd/JSBdKuC/NP8rOyd4weCdqBy6XdBbV4CFA8dePa9qMAM3NQOmzg/J1qjh0ByvpsIfjtIXftl36jgNVkBcVDNa98aG96bYEQQdM3ajagC1eEJM9r0pFiBzIxemZRYThdmKPAw0phaU7TyAWHwNOH48ThXBlmAxzlhh5dk8fveI0CiaeY5bakMqcKVLtDnceJxnGyQj+veRPFxnkVdY3OwFq1nOkUWENnUzPRPtydQyWvgFXTkekx6BxrKVoCAy3DrHafNCMw96GYGj+PKzPY4J6yi1KCXNA2ne3/KpFY/VcwV+3dCtUgA2FXSdt0feRHZh5FO2CnTutbUWrUe3xcmhWNWD5eBwCp7pnJNSpRXGDRH2CdBr/JFjylVKkc0pvM1M/qEVtSPqvgkz8ZxUTnKzxEJ/548EVYiJahf+dLWKC88pi255fVVOEd47PgCgymm4AhFLXg1a+czK59V2RuW0+0iSFtBv76n7qWQ6DYLZT2O++Os5m0RhL/Q88i1h1jnAkpgHza5jnOt5tTF+siEhCISM2PCDNg3xXlOgpIAL2d44qw5dMjGqoxGzxF9jJYQwTq49denScYCbklcyuOfl8qJePrdXD5WggIakxMYg7RF86XwOFcF6/os4zUMxThZmFifVk7KAH+hov001vq4AmOJA8v7KsFj/nmVg5bn2XmN13iN13iNGH+B3McKw4/HCH49ICZ4yAHpgu7AMKptlXO2kAqSGcxs7FUVvPWNwW9UGPZ9I2hpq2wPAPfjwDkHqxTmUGXWeNrEcY48vKLQiABtoxzlMQxtC+d0bfBoksysXzYfnp7GYsDWmbmFsgJxRtDwmCG526LCkr4mdazcrM7M3how5soo7m15tDQRPDLbLyu2fMIlDvTG5skdwL/eOv7n/cC/vG34PCf7RlTx4xz41283PM6B+0mhgcwapj+II6kPjnMK3rTh4XNlGOPfzWZ5wwBRqRkMuNum8MG5IL2OgOIYht8e9COxoFDw9P2Zf+/A42Aw2WVlSc0cv30e9ZqckwF+ZocCbdF5PF7HQMwDwPnTcWfU0MMILj1lNqU62ZwR5MCXbHVQXu4Xj5SmbH6FB/1ua8CgkpdHalgQlJFNLz0swDjtOeNL3laYMfIky23cVjY3Defg9AfJ7PE1rbsoI/5UEUrncI1Avqh/dax8oVsG6Ou+zGqFe6rYxX2VPQ/xNdkzBXNMXZW2nHbBqrZU5h6ozH6+7vrn9S/sNVqBpYKgqTmv2TRDl1U12PcemIY9CYiG8es9ZSBgz8pMro8ZLpwC+SLp6rCoruXrTTNpEY3+kEoQrEpKHHoG+7IoPykDW1WjP4qJF6KJ52SIbhjXwRxESqxK8vVWp5OA2zHmKGCdFUuACRMRYJ6GvTNYVxGc5pjHRNsae58yMSQJzGItXI77shzrnhQpKPJUHSu6ozARsnWtXpS8Ttc+fgoKZNKE1UsB+91yHrOXyOGriq2shkywqj7M474iGP2qlvbT8ouD1NhMrnLUDtLirs+0lBJ/moicuP8S9LzGa7zGa/z3HH8ekLhDtEHd0Xw1L7cWWTQDfhyTBnjCzHr2c2x7w3HMCBjSaM3hjRWWc3JzPM+zuO6eGVVI8cSZKYysVQTOzI5K+Yucg0pab28btq1hOrBri0wiUGQWJT1MzOFJRYpTPeYEBjBUsO8NuiuOSQdkOhs79r3BD+49NGmM3SijtgrCvQKd99bw1lpQNwzj9KfsKSTpFtHoDkGHwpT0gX/cT9xaw6/3E3tr6BFAf46Jz8eJb00xWsNHVK8e56iG0QSFEsFuBhPjNHz/tsc5CB7HYNViWpg5kg7z8Xnihl7Be3pV3ForWeYMbjMbqo3h721vbNKHFwVMwGoJsOh1GSCrhNeMk4q3dTphX9OSCUYyIIklWoNZbFTUlI7umutpGsFqF0i0P1hkyCXPJSgux+CapgFbuK0P+okgwaRHVlhQVY517yDja1Ydok0i+22SOgZ9Dnxa9ILU+dStmFHPOll6OrDyUhWFAKRFBdRrxYLr/qrmZGPN5xVgFLWt5T3PQHJGz0mBpVzzubamFSBJaV65AFZP5FbnVLdBndfWWxzTEs/YtobzNIh6ZKyNtLOgc2kXdAuFJsvwmFWSra9Jvty1SLWtn0YBhADCyn6WaWsdt6BLZvY8z8ei9wwe1MEv6zMRjARgqOoYCEqlXhRKYU3RmudSeQp3KYSVDfuL1maTVcIeFMIEqHnf5THQmBKwc1KcA/ycUZWq9YXXWfL4zxW8JCjJ9yU4cKBkgfPdVxmCpheJ5kjo1Bf6qhqn+toxDG9743NDOMdb+pO4w0QClGDdF7KOuRCkP4OrOjoP1/t8nvULyMq5TAWyWiNZzVvg+zVe4zVe4zXW+NOApKmiN/LNpdN3glkv9myIeWVns1GwEknZjAtBg5SU4ke4fAMrw/aHWSVH8ftbV9xaI0UHq3cjzdZ2EdKCxgR6Y3XEHWqARzDlxuMVyerEJZKSpVYzM9BG9Lc0BmFduHmm3wk3KW5pcvmc2mudG3G6l7sIjtKFvJxvBpoBnlRR/h8MUikD3FRxn2wyz0z+aQ5skc23GRxmXfhIojkYQRmKaoI5pWfhwN++33A/Bm57w2OysacaaC0AmcbmHNnY346zHJ0zcEwVLTbjZvAZXhRzbehyqTB4XMOWEUOAxE0ZkI6TVJy2keqR54JYVxlU1sK7Lh8HfLK3YjRGSFsnBY1qXrPoK8OYSb/1DulR6ZjsgdHO5u9NFOhWcsAOf/LOYIBO8JceJF00AMslgAkqE5GD1LkAjh6qV6lEVrFtgEqNgLWroreGLap5c4z6jqxSzGnFxef1F+xoJSqRc3RlguXI+0tb+JrEMbgnzc2rf6z8WdLBOtazR/XxaugnTaGdXzhPq2g2ldYyMGffjeAWXjjTmBABHOcx0Tctr41cZ4j7XJUUrqwYTRJIA6it21P+4HwBPmsSjOWSTCPDM71ulFWMrOq2UCI0omycYfD4NKdxD7YA7IFlWOE7l/BFTpeqLl8WLq2nDyv8Jpc/hZWVOS+S4KkUuDW8vXfsqqzmukM3TYjyBH7rFz//9edfBn3xaY3n3JWgQKukw0XIN4471ft8TUp+RlxXd8fWG44zKkbTITH3X3cOypdTZhszP45nV0WyCxh5PnFfh1AVSFn3SQInc8yT6967QBoCjIVIwWu8xmu8xms8jT9fIYkN0yOlx43UcIyVdWcwr8UNV0QmMTbumZSoFtr4EbCoXoLLyhTyyS8IlRzEBjIsaDHs8UjXXgaYoFO4Sun7iwqOUKfae1AEwg1eROiqfdnKBOSKj6CsPKKyk5uQgFnrZtwMGfCs8TXAyQ9N/vQJrwZjs5830WtA6772Qm30+7h1fh8Bi5RiksTvIKHmZEB4Ij5JqALsAfm2dfz24HGcQQ/6PCnr+zhn9dAwQOJRjhHVgZC8PY39IMXJdmQUXH0hTQS/7BtUBL8dR/V29DhRj4C7rbQiM+NbY6AkXE9ZYZFlLk3KVLw/A4YygnNEHwyd4d1ZtctKmIoATSDmwER5IGQk72AwPCKd3zdF31p4DDh7ay6ATZ4uOoGOjVBQi+A9DxW4YqYVpKcPTfboCCIbHAE4+zQIgrctBZhpugmQ3pWmmHm/nEYg1xHouy1ws4WIwT3W+E9RM1B9GanGZiH0cD3fXMd1Gfzyf0kK1jrVBB9uC/zXs4OxXM3RnCmIIKQY6Qo+zRx+WvhYZDS+Avas1DLwdHRpSOWlOt5IENTp5DRI9imtc9QAdQkC3FlZMJGoqgFzzFp7/PP52ZJfJJpVMNKRZnx+9sYAKQksC2PHsXo8jzSenVSw8qggRP/WOYuelddEIyEAsM/u763jNwz8fp5cX5tcqHDpV4JlFngtXdUMehzr5QI//1MJa+S9udfNDlzbigSh3HgOZHohr12el6pU8zyEAgG5N6WU+AXvQ8UxTbCFAAFv52fIlathVY8CEIJgJ+mVPUB/fjc8aYj8FHOgY9EXm17ky17jNV7jNV4DwF8ASASgZOU0DDhuWy/KyZhUbUnjQiDoUcHBzgxhltLTETu3BDevwJT+ALgENM+bev5Tjhag5HHMyFIC10ysR3Z4j+M8nc6/JuklIZHZW3z3MVfj6+LYgxQRCEz8CcZkoPFUyr/Ckvj9dMeHT8yo9mxdMabjLYImqohx08vIJbPPCVTup9FLAcyeT7By8m3rGGb4HJQ+7UFfmR6yyoQsGGYY0/G7s/fm377fME7DP+4H7ufEdIOdpHm4XiJoRJXhMSJQnDU/hsv1ze3ZCVibkjLWI8NuDpw+wvtD4G64tApX38OIa3PMie4KMUBdwrPjElReAiZep+jPAMpATRC0PhU0KB5RQcp/WyptXmt6ioeXSsc5RgVGBSI91eL4XVmxSTpSCjr4nAGm4ruwJFOHWdGfstcnewUcbHI/I8O/AiXeGBmknSFBnZ9bwX1koA+zqLJIVYpU2eSvwoxuC3NEBACbFx+fEYA317c2xQyPnaSvVBUNtQjiAuRNkQih/sNfz6T2aQXjM/puVpAn8VYPwYaoVMS1NTPMCai0qDIFLSyfNdd78Avmqmz55TXXAFjiHKjsFeDUadhpYRoKX+vCzMtz6Ot4qryk4aY7thTbzgA4hBmuniI5hwywpUwqTzh8WgF8bxLVq7h/Y6726KcDgPt5wqbjW9sAkEb6OUZV+m5X0ZGYogS+KY3tl7mrw7s8DfPHK3w5w5m+/1EZLkYClt5W32E9w2QBIope+EqAxJwKUr58HbfHQ2KGWEIXUsicUn+1Ahx+OYN1H6+LdzlsWV9/xWZJY82K3B+kpl7jNV7jNf7bjz8NSKYZMAc5uRO4dWasJ5hpFQBo9Etg5nDJWcKBtinGMWuj0KbcHC50juSXz9gNsiQPRNYwUuN7GPk5aFr4eR/M5gfVw21t4OeYGBC0jc7YpzukKSWIVfDWFOpKw8AI4OwL2nhWT0F8rhU14rq5CrCMjReuYNDoDp3pgi7hbSH4t+9vEBH8fmcF4R8hh8tAB0BkF3twmA+jN8txLBOxjzFwxJx/7x1bU/aSxHyYrOZWM68qR3pkiAgec0IlHYxZHap+hZj7AoeOpaF5GZ6FBuHfp5Bmc2pUDSK7m4HXnFbVj5wsc0FaR5e8c0Q4twiuP5wKV1dga/CL9CdWT0qLgBrhpg7S8MyczeRJMTLH3hpcuCYFwHA24W+iVS0poQBbayMDkTyOlGO1CPCbagU+0oQywJMfktWOM4BA9matCtpl/UXQdg7D+97x7a3zvIz9VcfJ/h72cIV2lKAUocSRHMQCH6Q3Cc7TnsH/Zf3OQcrdrTfcLSuWlD+t6tjlTRmAP8WdcVNIVB9E6DPkANre4NOrUpDV0965Ruq5UEvvEpjHvG1b4+8uX1wAESB1tJIGwDP3aY1UFDNEhcVT/S0kspW/lxAoqLWU83W97wO4Zd9DUu0Q53jMiXPQuFEg6HgG2Lke0gjQwZ41N0fr9H2a6UxoF3EBR1HCzrEoiXl4xxgYIrifBCOQrK5wXfx4DGzbf5Xh9wt9CasKdlkD+ben88i5ryj++UUiwFvvuJ9jecoE9UpjT8hnUjb15/U1eFAatX6fvSO5Rl0o8Z2S7PW9WJWnOLsngMJKGp6PN54ZbVf4tHoWyPXiv8ZrvMZrvMbT+Euc2ud0bL6C1y02mNpoLvK110exM7WHzJ6lKsySVVwGVjT2EswIdhCvY7lcylV8b4r7NLqpNy1OeNIcmgOPkHwdZvggC6AqEA7ynTUO9HDy9jdn9WRGJOHuK6st4QgsYexowMVYeHG4M/r9MsakNLJnYB+Voh+PMxyigc9zPHPOI4j5tm/YVXAPOs+VLmQOPIbhb7ctFIhWv4BFc3rO9Yo3V6NvOrfnXGsT2GB/wjkNb1uDTWdfyYr28dO+e81KgqC1N8XnOfC/7W/YWsPHMUqBKGVv+b4FLBDeHmNOKv4ISmb1063mWQOcZK9LYieLE82gF4LyiUhaGxDZ+Iw2Yo4M9ClxMYiHMo8qAZ2FD42k271gg1bfgIJ9CtEHy8z/FspGMTnNFTZC9SuavVPON6WVc07XX72uVxrfiSyaW7qwqwA9aXoeAMcCAATgTxAMJzjLQO2M3oUuAkSlcQ6rQI3rje/VoEHmfIs/Cwvw+kith+tg9YdvzIRFBuwOABMlwSsg9S+XySUORIogSASb0xwS4MadwfqqMvA1GjROG3g+MMdPlhIJ0g187mXlQ7s+UZjSgyhPOUx2ns45JYATiOVEOT+E1C3Rup8TJ6W/k5tjIFQA49/q/GZ9Cf2fLKpInbTVTZL6FFW3RiB1zInpmWDwAo8unPf3Ww/86EU3hPPaZMB9Db8vd2/9lP/POS66U0jCV19ZABS9SFb16PV7lrn2An6aSoIS904hhj9oJfd1Hb71jse0p1cVhlyPk6dLWHsVUU99nioIfpQmj+IocQuIfGngf43XeI3XeA3gL1LZ0vSigGNrDc2dD2DjpjUiGyvODWU1CyManZ+zZtVCGTvCNIKLvbPx8X4SXPSowPQo5wOkLpkzWN96g9mkkVUEmA9n1jGDKlEpOo6CtKwNpEqNTKc5aVBbU7xtDJ4NC5TAgSGoQPcrlewyVU8BVMU+sXnC06iPVJkzKhbsvxGIyQpY4nvu54B3ehFA2eMyQu0KYKNnE8EUwcegMaJFMMqK07OaF6L68tv9jM04wgtdtDdRhbpg3xo+7FxRl6zM6PV6umcwlVlwfvdjTPTHgfsxqsJgcexpwPclURq0q2jCF+qtumGpCIGSzSX3mSIBF5A044BEBbtSheoejvMLC0kAkVBQi/mEx7XSRUsDaHb5tnV80x33x4NSyb68YUQUuPgp+Ihj61FZiWpLVSaE6lYe5tHkwEdA7ml+CWy9Q9yC6kZviUe4dm9NsbUOVhTocGjDMCLKkgiwXChdnL6j5bwd/CvqCHgBWcTPKx7kmitlOF/B9kyaI6PYp+y5XoOz/M6I+NI75qd7KQI7heC2NfZZYAX7uT5vm2IMw/BoNI/16adh21sADQbRCTJE1zlfA2a53AdQUKwhqre3W68Kkvuymy96l1z8ay5gR0OAIBUBEZVZ+PJ22vZVycglbAjVt+nhSSolez2GkQ4LlNRx70zJ7BvNRKUvKhiQSZLVk8J+O0t0V9UT3k4eClv01ek9QTPXfw8Qer3dSvUrkEtSra45CzNH61wU2fMjWLTYlNH2AEot+g7zsXOtQj6vE4LvXIvXkYkAgBXEH48Tp7En6vrQqeRIvk9wqfrk+aDeE9sFe0walfp8ck3lx16V417jNV7jNV6D4y/wIUE4qzOYvoni9IlhhiOCwiZsEmZGCaUGtHJp/M/lub5oXZHlbA24xASV4dagLLBZlIGuTQMaudPpFYIINnrjZn9GBUWEG+ycBB1Z1TmjYrFF4wEz3AzWmYGLplxhgEJKCXAKFXUsqEjXnbd6GHydtCYYEfZC7EqaWIss7i4taFzA977hx3GyIhE75pyGjwhmJCsCxi/JYGKa4ZiGCcdhDFpyo2VFKA5SMmvMHzalRGoGkelBcUSfyO9ngBZdgLKyhpnVvfwe8dpqFHfgt4+jsKeJl7dFGhJ6rJ8FsmLq3BlIg8FRFjg6CBwfk/0gt60FOECB5jzWFWdkJcXLJJKVt7XGVUiHykZqDRCtkHB5F5w2q//DZlINvYJ3FYW0+J4AyR6S0VMoavC+7xhzsj/FkZ0EcY8lgOZ6z1m3OBmNxuPeGYgdw9A0uPOemWfF7g33M/x7JLK37mEiqTXnpAxxjT6mLUPEHMKGcwDVGJygtDd9WgMr3ZwAcgH3rWn4gfADHCFFDfaBpDpTa1I0qAwye9OggdZtxmvQG/qmmEde8wAfca2zilZN+WBmOyVlZ7w+KaGsAPALzoNra987jmNQuCOPM05VlKIJ2uQZUcdIwF0N/Hqplih7hLoIbq1janiEGM033RZIKvJezMcYDKrft47T173rEoIQgtW7d71f42bobVX9Un0rQQSwmvndKeLRA7CKR4UOiTjX6wJv83hjPq/wYJrBT/bgnLb6QrLhPS9s9YhgfUVe9wz3y4cnp71ecOlNjHNP+WlXx/2cuIWs8R9gm6risO+Oz/xk4wHxTA+wWokZ5/296KdxjK8KyWu8xmu8xk/jzwOS4E6LRaAQIODMAEpC4eqSbWuZpQMqKsyMFTNMXq7ZNBsMSdd45dZaeB/wvZnEUgFODQ34Jjj8IucZn5ECTCrkRG9NgYGiP7SmeJxsnL71XgZYFhvQnBNbU0pjmpeySzYAZ2PtLXo14KEQk1QSIR0qjhwiIZs8OEcPYwVnTCuPBjehI/OFGuWO6vVgdpVz05tiUssYLsAR1KxIeBYNS8CgG0IK0RiLAsP5At72jma2AjgA/a1jDIKzrSvO01Y/T55VALHclCsWjc9gYSYodS0M7TaNoMNX9jiCAPeLgRoQ/SydgeKI6ptEAAXBW2cvBgDcokeja9CV4nzqCkR2143UF1Up+lPSlqhwFLQUSQAX5xJRSQsKzQx5oDGNYNIpdpCAoqli64rjHDgRfhDDoJ3VgAIioVYGX7QqBlk0FZ11rZw3hhGg0TTOK+icZpCmlNWG4QgwIEEr2pSVxyOc49PbJys8Z6xDjZ6NCrbNL55AcQ/LCkAJurJ+lCtg/XEN+poKNlEcMJgZzBOUINZLVmVCntstqq/0KqqM8yXKdec6bFE1vCYG3BxoWtf0WtVoojGXDOLzuy9PLOw3elyMQSEIFYm+Cq6BY0zIdGhUbcvAMo5LJK7BXEHuirv90hMTD8SQ+b5m1h2AxS3RkHS9NJZt2BvX3ohnYPrMiJPONqPqCwQVLt5vMbfAqlwrBOpJ94wTiATQiOrKW1Sv7Yri45rU1PvqWbr8c/TBrPlN/yGCeSzpXr8Aqa8xvV8/8fo3fvatd5wzxQ/oI5S9WOaspgOrKiPxjFyu7/lMi32HKuqw9XDjNQzcEdibQhBflmcmVl7jNV7jNV5jjT8NSMxI93gXwYiArYvgjID3bdvg7vj1QcftpIBUxhGov60wT8i/VTbL5r+lP8J0x65LPSWD1h6qUZIZ3slqwNvWMINyM2KTMGDJEjuBz5hUm1Jw8/04R23aYxr23gAwSBMoPVBih2ydhoTq7CO9hXHbaRZUEAY3CdJ44qHwooq+oRpm1dNEkFWTW1NsKhBQwedRs88srl2CLxVguzW6z09jL0hQVtKV3MHP/uW2cUMWgWDicY61WUpS1mI+VbC3hhNL6hUSPPoJVGftJWhIRFLBQ4CUrTU4SDFpQR3SAFgT0VQv0XcRmdoMdoteE0H71hoVqKLJX3pWRxg097eOOSbu0dRTrtsRoz7SyI4RD/nqcb2pxsVK2P3ktW7RzJyRNwFCfKgB0lCBzvQAV0BcO8cIh/UuClfScz7vpL31cIgXJc8/s9SiAm81hQTryvN/nNQ73rYWweRzsPPxONkzsLeiFyb1bgsVq/scjHvj2o+sigXIQlBzWlP2aD1Grfs0AcwM/zRH+ovk8foFj6yVy3FTrYC0NwG04RHrdUknE2i3OD4NOpZFEC2CyjrnZyWd0uO83IG9LQECwUWIoRIhITwQ9L9zzktfE4qSiXjvcU72l3UiVhVWTW6DFaj0Tbk2tqsuYQJzBFXpeWSyQJzqaulTlFhAED1zreGRzWqS645Jkk0VW/mtoGR0XdjvdAUA7nmvxmeUwh2/M2mLSUFkbL4qDqz2WVTInpUEi/4XSY4GqQrM5RDq74IEAqvCMQNzV2Avi06ZvzNfPjykI67esUxu5OdPM6SR5zRjhS4TEFeAel2tcT/I+rHA+9M85t8NAZxTEfE1XuM1XuM1/qvx5wEJQk1GULSYJqQefb/tsYE79klXbXNfGvMRqEuWLWJkZh3wypiPyWzonA7dGOinKkoGA+Ye3G4Gbe4M+L59e8OPxwN72/D97Q3/v//4R0m/ZvZSfdEEoKRlaFN4Y3BSFIt4zT2rHBEg2PTK/qkqTgBvW8M36fh9zJKIfdqENYLzmJDeFmXjLYGO0q/iY078fpwFpNwiMyuCQ7z6THrrGONk07Uw+BkRgCLBkK/g03KusIItGLni5zmLy99lVZgABhbTvahJwKrCQLKqEQ3w0azalJSbvSksPug4B7Ppp8OdAHDfgRMoIIK2gkeKDxhskN60q5KuF3whr2ZtHsyPzyNADysVuT5IE1rrzSLayzpMCSsEncYjqLwKMLl4UTROcxptgpLNotn4PCmxGjLHFpXEGaDZ4NhuveSSEWvyOEn3SQob4viv3z+N5nWsrEz0Tj+NbNxPl+0Jhx2DlB2ggqg5DdgUzcmbP86B261DfUWHCSbMHN9uHbfW8PkYALx6PByAzyWrjFgHtdQTvWJdwwQJ7AdBKeGl+IQDC9RIVhEyIBRIBx5HgH1fgSl9PAL5mnNtcOWz2tqj4TxAMPWx+d0NUuIUP44T46B4Qt+pdJWVnzymBHEZOBv4bPj+vqE1xe/3o6od2rK6k3Q7wVvvXJMR4abCHs+diRHxALmJgWNCcy7ymTWjf0RlCTUk8M0qzxVMSQBlxHnn9QYQEttfLl3MoeKizJZXVbKHRKiE95VPVSPWgK9/lprLJcVdoOB6r+G6L6DmLBMeIoLb3lbfiQHZx8PvWkptCbJEgN7aRb3tcrJPR83qon4BYn6Zh7XEec9lhXbRk1/jNV7jNV7jvxp/iQ9JxgNzGh5joLngx8EA/NY7gwyRaqadIE+4icA0gs3IPiaX34fj7W1DA+kKjzPK7Rs3vHMaG8sz9pDc4C7BVB7gHLhB8G2/4cfnPfjY3KSvakZJFciMYWYc31rH297xGcZcLZp1c+NtIuhg4I6gOxgoFdwlDPh+mjRumsMMvRFYbZEt3iDooHQyDeyysuN1ThnQ5Ub61jtm0EUygMxNu6STa/NGSIvSu+Qx5jKxi+DvfWv4PCbMge/hgn5aBjYB/mzRKjJAy3nPys/eGPAeY7I5XBQm7COpKlD4rdjDgC6hLGTYGwPBc05IuGqmulUBCkkQHMFCnHcqR804uKacV2+ksT2Ogb61CPgju71puMsHoAhBgYh7ah37XK8RIUVKGkGp0/xiZeGxArxNFdaSSuWV2b9S2XIyuYpQn5P/Lx+GCHJ60OY8+5AvwMDdlwxtZPQzWPfwnZlRIWpR9aJyHTPrEsc0owoyzfFw9p7sW0drguOcS3Ur7uNrMJtrQuLaixCw90gypFO8YlE7y2MnqGc2HFMM0lvFi8M8emnWsyMrSseYaJuWZK6Gu/24SBk3FRyH4Zx87Yw+kL99e8f0CZukTrYtPkNX1t49nNbj7ypr7rbecAzDvjX8W3/DNMfnOXgPhyyvCHubeniWUJyA3/M4BrxEpULAwAluc40B4PrtC+BkM/v7vlEtywzvW8fjHLDp6Mrq8UyjROczszOTw3Uc9/EF3/F+v8TqHgvz2qBf1ZeK1JNimIppXn/P++qfjSdYIKi+pcI4WGBERMoP5+3WmBgKubzWQss5juUMcYUEcTN+v/WAY/+kryMBaEst4RgqqH6zPN6cN1GBtkioYDXiR2npNV7jNV7jNf5g/GlA0pSb4u9j8mHvwN4btkHJyvs58H3fSD/AjJ4Ocv1nBGPf3m44zrOaNdPrwY2VCHcn3UJASoA5erzfwP6Nt409BQf4+qxaDDP85/2AODD8E+ccFay6kTM+oiXai6u+MsMw4IHJao7ze+9Fg+AG+7413FRxRjb/CPlId8f7vqHLxNSVddxE8W1v+P0YMHP0jWpgPbJvj2kYiMbX+ByB4HZruKcHSGT1TgfeeisqUNJOsiGUjfUS4IHfn0n3aZQ3TrO01dxORa5oxcHw1QPUg8aU9JUmpOr9lAyN4OYM4JFN5w3sk8hm763TI8J1VS/S/JBUKAKUx5j42/uNfRUAvt1Y9fLwTVk+BPH1EXwIWA2B09shRRC2zszomzaYOE5YJG+9/pTwa7gaahYn/BIgQbzUkrJ1FeaYGmskAvEB0qRuqvjtPJmNR6gWeVZMMn6TUqHyWOMevRBuy307A/iUgc3g2xFeGZIKSYjKoWfLCQPc6AUx8L0zFJZEJapihvOcodYEfJ6zgLAGqE51qBwZ1PIHVNUJEuZ/DjxOusAP8HkBv/rRCFliGhVQLKnh1rXA77P3DarnyhBqYE2x76wKpfBGChdY0CXNHHYsQ8xff3zwnmwENFl9nVGdzfd4VHIkwOempP18HqPuLxXBt7cdW2/4//7njwByXHfZE9UCtG/aKEeOURWMytqHVvfK4ns4s/N8UhQrj+dzjKLS5nOIlWgmTs7I7fPZo2sKFT8Zu16BcYIBf3rFSkBkxeNye8S9iEXBsoufTDxnBT+/yRFKcnKpbFy+xwKImTlut1ZVUX4MP3gLwQVVGoUKUBWoPE4VVqPyzXL5fs+pd9RN1C4vsEB2Sc28PH2qopoqhtnHlHTU13iN13iN13gef76p3Sj/eAjVjRTcGP/1/YbpjvOw8uugEg8f1NnIOc1xPA4GbNPQlQ24p9NlPTPtFoGUu1TmmRsBN50zUsTZJ0GueAS5YBA3xoNSqFtjI/VOjfgRPF+bUkF9DoeHH4CgRT/LObMXI7Kl0/DeGyQqI70pdfpd8DkNJilHG0GzsjH/W6dxYdLFsvH9vSuObJZXZcBq0QzvrAQIqLzVGqsP0xx/v224u5EuEEHptmk4m1sY7oVCUVRCbr3h4RaZRlQwCjCoM3d0N9J9IqAFENQQvn+eI6oI16g0GnGxAo4MFjXmaEYTOYMUhQqrRXtrASYIXHvLeZ/VKP3jfq8KTQ6NLH9V2eL3h80K4q99Az16HtJAL0HMBIPWv71vMIQHDBJt0HjtSY5WBAiVNrtkhBWpAseKkHbF5xx4RCdsKlxJyISdcwYHPuYLq6F3zvQ/SUPHlNX1ElTIXpjpqVLGIEijetCiMd01qgZZDRLgtjeq2cU5ZE9NjjEdc84KDj2SCtumUS14umnWWhBZlZ+kL8nFqA8EJ6ychCpcvLerBuWJiYOUH07g3JtSsc35QJBOEHWMGX41FpUZKZqeiOAYk3S4prgJqsoH5zHM09A6+1RUWems9eWs7m5b5xpOSql5Nf1PMFhtTfDbx5Ih761FRcjTfolrT4C31nkSSmnmrGRlY7QorzGrLAAxXD6rIvNfvQq87vPi6zEdkDBXSrqlCCWFE9i2qNA+XcsM8d1/slJJwJ9LZUnkytO7694qMPC8VqY5/X10ya/ne5lssCdRFAoeRM8KZIFipPjFqpJ6rL2mAsz4rjpDh0U56nroCfRSCXKaYzgplAk0l0+LVB+cO58d3G8uIE3wh31Ur/Ear/Ear7HGX9JDkg/5/NmddKDPyNr/dj+ogBUba/UvRFZ5OCk3mTm7bR2qzGidZvWZ5X6d3+2VpqI8qFJWsse29cCizeTOmdSL62aVLSwVxF6CnlRV0gAAD1tUjUz7ndNwHxMjKhl7VwyngZ9F5jcbILe2mqJb1+LrZzWDlJxQwVE2Z761himOjzEq03hrpC250ANlHhMfvjT3x/DIrgcE8DDPA89/U8WtN5hTTevHnS7wKXsMoAIEgEpFbo77MbB3+rFk/9BzOpTT0sLALDP8DkCin2Hb6Y0h4hWAbmAAClkVpjkN6pS5/RLj1jpgWByN40khw8rICiPSJe/qi2p2uMMnc8KEePEepeRxb7oyuYxECkB1YRCap68RtGlUHRTRwwFAG6MTmxaCBQxCy9xNGEyraEjvCsYxaa4ZgfoR9KbeG9WCpmGOFYh5ANVpFnKm8dkOuMZ6t4KHfL0GhW7wPaqC+zEC9Gh5bRSYjD9dAbHo6ZCgr/i6yZ7C2bz49TOz+1zvXK8p+jAv85nGgpnIcCGQF9B3yCJgn2eCbMCGwaPq5LoAAiWahRWISAhkBNo7vUx6lwKBW2s4DoaWueZa14uJJtfPCMA+bT0rkhZkcPgEhg0k5SsBalaVR9yvx5zYdFL9KScrrk9m9FkFU/ZTVUU3QL/Rx0O6VL8W6tj57Ln1Tmqms8rb43OPc2LbW3kA4QJqrmCiru4/KYN44PX6dT0fPQsFz2+6/JyBfPdLlbYgw7oPUx79PEP5TxXve3/q0WhxX16rdMdc/X6ZdEBcC4VUP1vksPi9Baz8Ui2U2ofObB7D9fWAnV5r4Wmq4nmiChzHP6esvcZrvMZr/Hcdfx6QOLNVcMAaN5hUhcns64ig9KaKAT6st9bx8fmARLbXJeg/wQHPzSfpOGn8pqoYNCeoYG6LoGLbGswMZ2wsmyi8A5irX2Gao9miWxyPyd6IK1cBQEYnDvKS77kp6zIzEwGDIl8N5vcx8aYdj+OAu2NEgPmmigesHK0BlJxrbtMjaBY0NVNsESRMpfpXfncTymy+9YaPMbCJYsjFXyRARwa9qUA0I7jcO2kDuygePiMwuoAsMCubPR+cDq/M4RleB9PCmBEXSkaAvU0V0sAGaMeSEI3PPwfVoXoEluc0EvqcbaMM6oMS4xHgC+dfQ7qUgSwBQsU3yMBpnf8cFnQ/KR8cywoCQNA0yftPudcEHNlrlD07MknnaU0hkwpIm2oYtfFcbrcFuHs4Z8/psLkCogJqF28ad4duzA+3kH7uG4GUjOjlCIUgi+ubAY8ZHd1HBEYpjiASQdow3mtAmU8iwB6N9SIzHPeYymo0j8tfFbSUBZaRyliSSXl4poIroMPT380Aj76pDA0zYKNi17qWLlSTIr2LAWNT4CaKwwZMWKWbCZTijSVIIBJO6pTWznsjkClMCdLLmNW5LnOdd9VSwcqmdlzWetb/mqa6n+AxRgEZNtjzeqpQGKLQeYD/AxMqivucFEVgSbiefQ3prRTJhbjux5hPVYd8dJ1jFtXQ4BBDBfRZUZqRhGlCc8nh/kR/y2b3a56hRl5elZ/+PZ9j+RzJayJxfX9Cp1gJBYCP4JbPri+vAaJXryk+jc+cPe7DBEx5za+qWkACf17DK72zDBPj2e/wJeOb55Hvj5NLKp3FOqj+mgSum1ZDe/069iPR6AP05zl4jdd4jdd4jb8CkASvundyoUUVP8bAGQFQZra29MyIgDpN2vIBzxjBsXUGWx7BWzXXRvaOG/xF6SQ2k1KFaop5TvYmCF9Jbj53mgzaU/L0qZfxshnx5wieJ8MPgo5WmbIrf0FFsIf0b7pTN1Uo+PfPCHQA0ru0KcY5sTVSvcZ0PCJLndUSVVJ4gkIOBwOo3ljdcI9qQgSI63Au0YQBIzVuA4zcWoMB+HWc1afRu+JxhHCACCRocmt3Rm3iZo6Px6hKQ/LoIwUJm44HL2AFshLzmQaDSYkgF351roonZYMRqCsz3Da9IsHkxc9oIJ8IzwpztF0RmkgXZa6clnjddIxzVsUjqWxAsLKCoifKBnaAgci31uDG6yRCk80tPnoar69qTQPBhKMajl0IhPdOKeKbKgUbomIyp0Maz1Mbs7IZ0LQuGKeXL05SwZiRZ/Z9b1TZmpfAVWUptwFBaYx/zn6T7E/pKjiCenRrHdoEn4+xqocZlEUQbOawrBo5ngMtv6om1RIi2IrXb40iAqcvypcDFfyV87vkHBugit/HwPvW8dtx1k2boDirFPS4WdUFymNzPUsen5NepQgVv1yXkpTInyLjyoTnulbhdeI6k1CVY0IlwcCmpDvmMs9zVQhaSHnDQmI6gl4HVmInHO7HabCLeqBGo3VWbFQEspPuuEFwH4OvkZBkdxS1iD9LPcuWgtma77zeWLfeE+i//Fh/1wBuXnOUYG8BzUtBY1UrwATNDNn1BDQqmcRYfS852LfhP62zP+rRWGBX6r6oim9TnEi6o0c1fH0GK/H5LBF4gFSXy/zk2Zj/NDkiWaVDVWle4zVe4zVe43n8aUCSGa4em/59TJzBvaY0LZtWb6p4BJ1g7w3nNGyRBVYAmwimAIMfysznoJRqa4pt46FavM/McdRBeOj7RzVFmXHfQmc+N4aulJs1czzccAuH6DXkKUObkVG5wgftol2qJHxXNpIbHtHnAGFztqqUGzecQecBw9QT5zD8y7d3jOOARhC1NQbDH8dJw8EMAgG83zrjdHP84zgxp1WAejmFEgcAUB3FHgH9GcpaKgSDMzCHXKKQBJjiwHFp9Ddb1ZZsIC0aHRHlOgb4U9Bmzsy4SWbguQ7qM6L/4RiTlQqL4CACKFWaQ7oTCHhEScNmBOQOtNXULHEMyQNfFQB+ZmtKgCuLMy+xAr71Rmf7UDh7CtCQ0rCcg0fI+mZArBHwTzeMudYyMkMrgjcVjFBVetcOOSd+P0+IMuhsIXGbilpJ47pGXszaRqAK9gHgPNFE8S/f3vEYRwX0Yxq2oHpl9GQO+LDKHjfVoM4J7k6JbVhShQSiSzFIwn3czVltweoxWFw5/wLuUWByTMetN/yydfw4B0J+j29lQaMa5dPDIyk4c7AH5oh7dLqVpwwQ7wv6V9Iks0rpIDgUUNUqe2HUwcZ91VBdWtn9Y8z6ctUFFrLaMjyqnnHe2e8mAgIRLDUm5mNWJQdOeqnF88MV1eQtiPmNNVW0NMtnwQY4cMyJX953uDs+x4jAfwXp4ZdKyqYI9q3hR3ikDDPctoYW4Kw3LbDwOGepcSUgeKo6XD67nlGCquDyDBeI/TkEX5SwvEWvzxnAw90cldRSkXJX/wkQ5QkLAL/QTrH6Cn0mqIqKu/AZc8Sz1+J5m9XQBA/lrH5Zh5l0uK5tRKJErsclKGW32i+uiOw1XuM1XuM1APwFgCQzcClvKSrou2IDwcGIjeSMiHBTgc1ZG8uYbBZsHpK1IID55dt3YA789nkPwz8pE0SNQCB3gtysOgSuAlOv3o0x2Z+ytaCwuADC7zb4hbe9tpHaY3OTATNjczogQXlICk94Ufx+0KCs+goyk+yco6T+CLgBmzmgwDhP3EI5aDwmjjmr36E3ZlypnqQ8djAIe28Np5GPn0H9MWfthO4ZBGPtjhHgHNOwdaCwjC1VIYno4WEzKiUrs5fmdNkwXRUSEQb5IaGZGVvoJaDFcqgX8LOYePQIYpaKUGXigZKwnSHvqQFC9t5hNuGDGX7dVo8IEgxlJJTBTkwEK3MeFLaU5ETRtTwypWf0sqSMrzl7R75vHUcEgOdjQjvBcFJ3phsklqfFmkiwMszx2/3E1pV+DhnARNO5uUezf4AmGKo/XRc4y6xsCka0qEBOM4zz4L/FZwHsZ9rC/DNPyVJ5qWtcD75+3xpureMxBrbe2MsTVRvM576grC7w+C79Psg5j+VTWHUBwMPTlM7p41KltAj48zMr/8yIUBx4jLgPnxZ59GntDcdj4Dj4PJGgZdHwVOq5sCvQIdAu0JOiHE9EpABq7AdxjNOhXSHhDyN0+MNQ9kDlW2+N3jspEuC+VOkWTiuEBrFYd7bWaFW1LvN2rRbkR7xtvfpsNlUcMyhnce9NM+gMURClGeetNQyz6Dfh97a4DiP7nywrvKvaca2OJC1L4jlKLKDVD5SBez1H81aMhET67qxrG2/IP/glVR3OJNDH46Ts99ZLsa3W2QX1rF4UVMV0SlSgLle5xFZi/ZVwQqzTpXSGWktXcJX/PKvK+rx+NECN+Hrf9dhe4zVe4zVeg+NPA5KuQe+JLGTvDeKOvXWYG4NGp1yiRsA2Yodb6kb0wnBn5rSJ4PPzE3NSbaZfNoFhS09eIuA7wYDA0q/CnlWWJDP0uXsUxWQZ5DGQRpkU8riYSd1bw2NOKl5FU3s2yjItGjTkDPAjC8pglo2MT5WO3mASnmxCYDACoMDJo/629VASs6LnJL1qDMNNFW976NEEyPjPu11UpLwC8uc2Y2aP7bTqp9CmwddvpZ1PiguA6TCbFfDmWCwGqcCxNcF779iUwWw2byf1Ls3t3Gjk5wDSnVA2VixUIlCP4KurVlOzmbHnwgUyJ0aoPomC1x0R+MXmPyNYV6GykTj7gUSBNyXlbU6vjGwGE3OyOV0g8KzSKQGHiOBwo5u4ANutRRFqybAiwZABCg+fDaEBnbA5PAUeUurWnVn6ch53nqeKRFN6KK6FZ8y2NQZp02kIZ15rMwGhm9f6yOvXnEHjGIZty0B1AYE95H3fuqLrRrW3yZ6h4V7AMBFR0pwcgNjqB8jvjZh7AZS4B49JEYjve6/C2lJpijWh6/Wk1kVwq1J9a5kVF5ElpOCO/dZxPAaviZGq2ZviFmpxx5gY8cxREezaLoaAl8ZnRIV0A4454LE2AMA0+1UiOAeCrpVBuMGjGRoBcot+5OvadFXcx1iBMdhDlIHssGVy2lpQzSKJkEEz6WIt7it+X2ukj+X9/4j7hWpjS8VsimOOGX0OrKKqCPboE0sAeh153qn4F/UQCjPIglwX+HS5tF7v4RzHOpH1b0oEV8/5OR2fjwGLZ3a7PIvyM6/fIJffqgipeQ3rXL68PSvqa61GouAKxARVefUvJ9UahVWABZ5EUFWedTSv8Rqv8Rqv8UfjL6BsBb3KwpzNGHz6PHDrDZsoBKlkJdW0XVRgp558Gmkheko2ALfeMNzKAVklFFds0XJI9WGV44DgFlWPERQLCFZFA1gccYmAWgIHBAfnGlA5orm6sYEyM8J2aUzkMaA2Jm5Ya7fbA/y0zgB/VoaafS0WWfgzA+N467fWcM9m+tgZH8eoYGxOrcCCBoIxnv271kVKjpEsSsQUYEMjRSjOmtQzPO3v1ctjVCBSZcNz7sqtK4FoGLJ5UIionET6TzXgmqM3KbnmCQaLmRxX0QoKM+bYVDChrBa5Q7WFXDHfM+Dht+KViU0nZgdBbFJszBF0rOXajDjn9BBxDXfzABdXrvh90lyw95B8jXWUKlTpXL+SoFKBzRgWUsNXGVNWFW5vHeOcFBOITD+yoT6uWTZJL9EIlByzIBrnAzz5MGinvHRmbscgYN20oSnlentUZTAcN21oTfHjOAEbeNsaWtyvn1EBlFo/nDe/rhWpJVHnv5ICWNQXWb//8ThJG4zrv/qz1mcBq1etRUUtqVmB0QmqlNl3qrsZgbYtpbCSt22KDQ33Y2D6xLd9q16in0Pvy+ldTyqOt0XVdZzG5EEkKlxyvXkpZQGrmsA1ys+YUc3N+98BeEp8B8UUUQ2YkcQxM1hQ0qCGTTumG25bx+fj5Pd2Nn1nkgHgfTsDTO9Nw6g+QFUA0703nGb48TjLcwUQ9E1j3hPoa1Wacx04PChSXlP1NI/uVUHJB8wCAFfq33qfOHA/Rr1yDFaRs2L2R4O3NeeTFbFZz5ystDZZym6X1pT11Y6nRdgu17+SBpfX559MXiwRkJfvyGu8xmu8xv96/GlAMs2gFs27EUC99U5FEedmRuIJA74GBHUq6CORAstG2TMy6Vs09FKhi9SvLgwaGGymklRsagKsnF1QgWaY28lF0tWB751qSvdjhjmiVAVkbyGrClT2erjh1hoeITEsaaKlgKRc6FyBRv7l1hR/2+lU/zEmtib4mMxU3qRjV2Aq6WqCpYZzmuFXi0b1OKepS+3FAPx2Dvxb2yhHeQneVyo6M86FKoAMgi/ZRW6sS+b4lko885lm4DHnVz+A/ACbjmOOUt55CFOF6kkbunI4HO6yKGLC9ZAGeGnT1kOdyGRllt1YJWGVzPC97/hhDrHJRm67TECuiwuwoGEaLtLAlEDN2Mhi9TxsokOxmcAbRQWooETAMINCqEoaU2ZEqwnbs6LDQ9G2QImqYEMoRxkb80Xo57HvPeaeFKhsSLdwGC8BgQCvzEgL7o9R11NVqsrB76QqWjXpg8D2beswEczw/oHQr0Wc6mqHGf6mpKaNDNSfssLXIMt/+tkTBMfac/v5VRmMAwgq5bp+V3nZXJsaqFXBeWf2P9f6ksh1gN/njn1vlXwo08TB4FSDevW+cd5hHvLFXwfPp/Ul5dpVqcQ2s98mj5vrKgcDc4PWymZV2aJKmJLOqSqYVYHe8vUEUNqW+po7ovHCK2Y2W58xhpWy8fI9IYC7grzsr0HeD+Bcl2qZgCXcC/CrD4g3EMMECIsjKrEQ8We6Vlx1B0oJK1qEEgsVkJiT7zd37Jr0Tn7xNDrV3/b0K7pkDFYW5bJ+AgAGOEw6WF5rPoPSkFXDsDf60wMgSxzzxPqKtTpQpq55zTO/Jrjei3+0tl7jNV7jNV4D+L8ASB6PBx6PR/3866+/8gNUKeEaw9wxW9B+omJiQBm3HZPc5XzY114i66E9huH3UCSyS/B1XI6nZcUjAsEtKD+5ASUHOLcpqrgAgOBt28KEzkoNLFV4RphwZRALAMdYcr2hIlybKIryA6RniUems0fgP5z0tHOSrzwc6PDqN8kMWsryCgBv3OQyQ5k+Fz4ZlA44/uNx4n9/3yEuOG0dLw8Glf3PY7tmE7VREvU8DXPQCK4J/Qp6BNxUDKLHisdxZoY2A9nsASnPi5xzY+CQNK0cLkt5LRKvVGM7rQLmbEBOBSmApoHZL+DOzz9tkMKC1UjMD5Si9hUw0y/BGFEDAw9ZUyXuwARuu0J7w+8hHtCa4n3rmM3wcQyYODZp8MlGa8hak5AQZ+gEdQ2Cv//yCz7un5ihtrYFHWZOwNxwPDiP+96w906zQAfebzvOOXGmvHJeh0FazeGz5mnfWO2C8O8aRopTPALuKpbgsMjmj7jP4tNN2Pz8r1vHcU78fi6ufwaRtfZBOtmqikhFfz8FX4k31gVYQNgB7RLVDNSbs2cqT9ziPpCGoqdR5ECxR6VoXHw55qAM7vveUTpe5ryfm2PrHQ5KV6sw6Lc/MHnM+7uF8Wv28GTPWxXaQCAkLeYmrlfUvPiYS3WvuGemURra4ny2ruitYd9Iw3uMURVDxP05PYUEVtJhTIOFiAbiGcrXN3RRPALMVmCclTQ4xli9Z03py1HqhYKFFuI6JujD5c+8vno57/z9dfQWSntpbHgBBajnNu/PFOfIazzMCuSPMSmYsnXSMb9+WT1z1nMGwJPkcSYIqnrriwrswKU6dPm4rGKvj0dSdOsQBCVi8gzA66H8Gq/xGq/xGl+G/q9fwvE//sf/wL/8y7/U///93/8dwGpUBhhYSnCc3Rg0zGiOHOb4/Rx4TJqXbXurzHFuOvyQ2JQ8jMfyqV47Fh/xlXkHIttomMPXRhcf5iEH6w5sAH7pDTddmdSszmgjDacpeeZZ3gdQ5o8a1R6VSlBGRnQF3ZVAdMdHnG+LxtzBtC2GGY5pOMzw4xiksTERyWAADLhba+idQaYZKz5JCwJIVfqf9xP/OAeOaFB9Gl+igmowj9/zfMM00Dwabtlg3NOLIhzGJYIoBtGGt61h71pzmCfvxgB9TlZtOrAoEvFdfWsRvHopJGnSQWQFWlklOU9y36EocYBcA70pvr1t+OVtx23rca1s4VzBokbF/zzm0KYx45nHULPFwPu3cWJEINiFQbuq4HajbDN9EJLXT+qZDWbLOwQdy8/jH7//jjEm9tarSiWCWnPptn4cE/M0/H3fICL4vB8YUbFjoMRrv2+NtLERynW3jn1vNXfznLifo+hqt97wvnXsofhjl76KBDRX07hPM/x68QNyoEQlRIDb1vG/ve/4+9tW160W3JXa9ASSpf6fzuMS9LcUiSgwkv+5Bn9IlSovgNRCZvuMAHzvDVtUiPquMKfL/Ka6+kEQIgBNAjwuqlZ6klzvnJTiTqf3Ob0qOwlAV4Can5RhNYrWhPhNKv9pJE0ygZFS2KqseCx5WD6/krKYYC7XOWl+qGfQtrXydZmDMrp7OIrrugSczzSnlFW1UOE12TatpFErY1EG2/NrYB0/qpAamNRUALzGKnjbWqy3ALi4HousuV7WRxCglO5aAKpcI2cYeiJzMZf1U/P2dHwe1Mrst/IngC0iIYJyRRscWTmhn5DD57rs169MAY9cvyZeYPiPCYGv8Rqv8RqvAQDi/ydF0f+oQvLv//7v+H/8P//vaFsDkJk+yrJ2zSDN60GclKNs2GQZ3i/Z/HyQX3+xApVIBtaozTnfUqnKla4SyeZovvF7U6gqfoxJB9/4quSWN2W2MZWk4lOwd7oC+zR8HBNTqLgDMLh1WzKjmcFXAX65bRjTcL/0SbAxk9SIbBJOLw8RQKOZuW0Mtsawp0AcksAiKgqRjpu2MnXXPfXWqaqzd0WHwqJZOKs+AuB0j34fVFUEHiBTmb3O6o87Ke3DVnUoA4aUqoWzOtKCvpGVj7q2khLKWts0N3L6MqQ60fU78q17oyoUjc0IIDNQPYbhMeiO3aLyRUftpeo2hy36VFN0Za9FJJdDklhxmuNzDsrBgtWiAWanz6gQ3ZrChTS8ambOapWgrqvb6gXJjG02MEvSvpzgCwDedxYvaRL6vO4BRDBOulYaMO69oYHA8R6VmDwXrn96UwwLSVX3kl6ujHTMATPu69FwBQuIz3zrlLV9HDPkoeXLLZjoHHWfJTOrN63fSRPMUMRqqiFPnODmsp4z6I0sO38fYg9pvOlRuWgRHJ9xrQFoyNqOYdhaY19USxf1kHPGRSUu7v3brePzPFelwtcB+fXcIlGQamM1d/E5Pe4vEU5lUjK5RmdJoe9bx23rmGZlPNrDG8ex+h4yGtYyX1zPhM/HyeB7OvbGdTqFCnB5PUWWj1EOyeMXwW3rOM5R31esungU3UJVry61UJDjiLWXGDUbu5nQsLpuEn8+FTaQAiGc2z0UyywOunptYt8QEbzftuoL5KNlfSBBByusa/1ev+/S72W8ML1RHv48rU5sa4KzeozW2tSYyzxfguzLtS+glusKcDP8v/9f/x/84x//wN///ne8xmu8xmu8xv8FytbtdsPtdvvp99lDkRlOmvoZNm3YWoP7xP0gTz57BpJvn4ZlVRYH8H3reNs7fjsHjnMUb1w0ggusYGxOC13+kMWVAAd+2ZA8vAqEbs2/jYlpIzKSeGpIn2a4KOfWZpnHqOZ47x33EZl1CPySycxAHCAY+dY73rvit6jkdNUKAo74XfZzZEAIANBooHzKvOZBZRySQTp7HDJGUaX851tvdBp3x7et4Rikec3of8leFRl0uocQiDiALngyCcvdVuI4LOhY5uSZJ6jJWDwjAzOP/otwrI6G+64N09kPMp00kyZSMrgAz+EMGkoquLWguFApiJS4vXfcx8Rxnvh222ueb1svAIgALDYZqI2LYec5Dedw3DEhQiDwtnV6cjTBYcnZ5/x2kEe+dzaLRxiOHlKqlDuOi3ZaeB8EmIvSmkdQlVU2RKApsoLtM8D7t43nl/z2DJRzHpyLgJlbscoif986Pgflte8nAci+tQITUPpkEKzxu6dZVVjsst6eMs+5DnBZLyEXPWKOq1jiy88hs9VNUFLCczi2rnhTBW6Kgci+PwjS81xvvZUiWQK2K/3IHWiOcL2nWlwqU6UIxpzOSqkAvTccY0JBWuKMlAmLcFLeQRbn/wh/j6fbsK7zz0FuVnASgOUNTKC9QMkmBGXjUuEg4DCcgxUucc5vSXBfeE5m+EltKl/Se5pOTpxmXK95GSOYryJGUl3jMxIoP3zE2i0MEl9ymYgcea9dcg71TxLJiwvwee5vW3N0/disnizAI2gdwImqAHlUyrW3p++8fldWt1LZTyIZwcPNhBfnJQHfrSumGswvNLd4/TqJ57Y15sd89UPF71ut5dgvvlhHvcZrvMZrvMZf0NTOaIAZYJP0RIgGdTc2sYuUP0EGtMkdv2atvm8d7xVMZKAX/gjxHolADUA82CNQMIISr93lkq1FBKBYXiaZ6KxzqONZ+2Rm8boK/rZ1vDfFI3pgPLOTTeGeKlJ5OvzuCccwBjnvW4O44Md51s7fNWQm3Z82qaQVpJrN3hsevioFV538rFxoUOW2pvjWW3DJGcSeEYhpBNNJhyPliBt10iLy83JaZphczkBqLTLtSUMQX70y57AFXi5ZSl5vVnIEDBY2VZxZASGirUx9yr0e54wMa4K2cKjOTLAL7seJHwd9PeAMcLuH1HJOtC/RgG1ruN0ETUh3GpMSvjOoftPDYE6YFfU4vlGACQHqOF+NGAPv2oFGFa4jQOpAgIzIbkMEE1aN8EdWoaYBUW1rqSSWODACW8WzclEFViI1P9KkijO5fhPszGk4QFlWEcGttTIVHGOGK73ja6yUQaaDVBqP+47SsFQ7O6OnoYVsdvlpfIlMRYDb1jCda/+tM/jfOsFnArVKXoBB95gGdXr59DA7NVg1TzPJwcpiqtlt0mCx/lUdDqv7JgPu3lmdy/h6uKODAWRrCp8WNMGfA+W8EE9nmGiAt27J2ULSe8WjQsEeiiYERACpkVSw44ffz1GgNY1EMwDmNYj11xr2FoDbCeS6SCVytq54HCNMaS+Buq/qtHvSNXMtMdlDmqQsM9S4d6WR7pY9PV9i9HjOrIWYRfBak3iuKlzHtYiRqowLW3gkv/hTi7UwJudu3e7P5oTldRRVyPLx8Wd1rby2SbNkBZZJiFwzOVokl7Lvz+PySzwf876pYkmAcm2CqV/R3Gu8xmu8xmv8eUCSj+kIAM3Jr502aRCW7nvCTU5wyVhZOIJJSAcD+PUYDJ6Fgco4GSzRHBFV/Sg5zwzuw/Ttqu8PWQ3jWxGTL4fuKCBxiTHWmQkDp10psWsq+M+PM8CUlzN8pbcBSAdglKr9l9uNKjoXt3ip4ARlgAegqF5rQ5Pa6Eq55hlFBcUm6CEGQKnYc855Cdqd5okJmKIi5OY4hVUAB8p920AaD5RAYpyG5gIIqVT5Wa1JpQcLVPnzRkttfv7OpmEO/s5UcA5SyLYMcp3Bssa1vfus6kpvWrLRIgzk99uOx5gQAHtjYFzULpXKUua8Bkat6odNx21ruG0N37FhGFWPipdvhrux4qZNMAnlkP0lWTlThJqYGeljreGczITrDszBXqCmeOLVe6yFBJ7ZGJ/Zc49o5mOycf+bdpzGvqN5CY4SdGwx14cxwJ5X+/K4RmaANF/UIcugVNa9dFFUyqARdUzr70BUSAai54EN5E8B3tN64Nq9Pyb2PfqiIiD9HBPndKpPhZDDeXI+LPxaRlzrFEnoYTY6jWpJW1dAFDIM6MLgvBIRXoZ9XAb8jhnPCr1ckwEHiW/sxXjMiT8a7kn1uYS+GRADEHN4uyRdav54BF0Ihj7PS/XFk+7J9/CaLLfyeszEWiZYCQd6s6CVcZ411lYG/Zmln+DnNpfqa1n1zRCiyEpePDM0etjy1UW3zfXgz1S9VclZ81HTo4sWt6o1cnnFep9K9N3J5VPi8/NZVs+4TEIhJdVBieFYhxaLWUUL1f1UqIjjUOX3Xg/LBNWoDqCEBYDawp5MPKtqnscczwsXL2rfa7zGa7zGa6zxFwCSyJp7KJgIippzP2dRNpQ7RWV1r5mjfVsc4xYeFZsI7JxA09VA6impyCCs6E4eVBe/0L9kZREh7CNI6tC8yGzmBp+b/ZVFwGCG/QHpvKxN8G1reJwTqWecdICkPjBA8DLmayK4T8MxRgWimaUjKLKcCqhmkOG1kdWIv5eSFxjg994IMGao7FRGL4KxuAYOVMouKQ9pMEf/imww5jyROsbKA/taLpu4sw+mtxbNpV5RqyCy9cYKTjYFJ01jb4ojGvt7qHsl9cIAKjfFXDTVUIsyzDgXUeDzOHksKjR1E3qk8HpGlr6cmUmT2zubaj8/j3AIxxcQsNZZE4KmaQ7dpGIlB3tvGliROo2C1hL0HVNWjM6okmSDuXUqf2XIkj0vZeA5vQIpFWDOST56BEMjqo8poZzVuDRAHHOt9wKGnmsmjs0ZKJ9i+DhHrHcJozktVaes0thlPoqGhATx6zxgUqpXC9hfwfP6h7yvjpPncTpBn6jivTf8lkDEFpcy17oKxRfMHdaBtjWIUZzAnWvb3KGhgnyMiS3oZPtGkPH5GKVAlfdEAuKkaI7oWWjh8Z19Htd2dUgCBHk6zwpavXDI07VwZ+W0gcBqDFZbt67loZLUoWc/m7yuIb0da//qcZEAJJuy/fLVI9BYGotifg3/60tK3aqes7IwAeciwN1SgVhvx8V3Q/gcUAAmIT8cL88Eiz+/vQBGfpoFynEhgOZzQepY3D2qFVmVCMqdMRFzBcWstg20nq+/fvPlVASl8HZVfbkqcbmn+to6g6SWsqK8QGa+F/GMkRdl6zVe4zVe46fxFwCSS2NzbIgzMnz5dFcBgQikPA6Sw9WU0pTjnPScGI5+Y1D2sHQhzgyhl0IQsDbsOcM3Qxm9VYDJWJEZMiEY2lRgVyqJr/PwiF4Z0vOYxaPfpQd9qzFMAVCNl6qR7TavJmaNDXJMw2mLqgFkIIrKkLsv6k19Tpq6ZbB+oS6sAA0V6GcMoAL2LcRenBnU2jcvEYDDS9I3/6k1rWDtXRo+feIRzZ0zaA/aNLwBQt3MvXwTqklfgrYRfycVglnt0xx9Y0VrhNJVD6UpMxRlSUBTtzPkTDP2S5qIucFOB1TwcQ50o18MDd8CDGVW0h3npPfHrQdwwcr0jqsXRMQZqoJNL30IxkCyRcXuNAKxCUdTQzfBtnUGgKGu1lWxbR3DJrS1OI7lNVKXpKgspBbymnoFeA8LFS/3JRQQgMauKPHq4phDMnfMClhS4Xqn0t08DW5sJBcsJbN0474WOiSTCmlAmMAj1nPee9ljlG/WRoArILUvfsQcDDqbW1U4y0DxAgB6U/zytmOa4ffPA+c50TZdPR+2QIXHvavV1xYy1Y1UviHZ/sF/nGAztjmrRxMZiF4qUQDm5agqYMc1S48CijwG3r9Pt50sxS31UFvLOY7rmd+Z9K0/1B0JAN5bgwcdK6ui7LVaEsAuBOdqsuTMiRKenh2XVRTrP9aY1SODa2ikz0Y2kj9nTiqov/7On3/+ukT5nX6ZqC//ZuttaWKZ53ztMxMnTTZvrgT58JBCdtA0VKWocHL5nv6F9qiCi6T6UnbMZEGBZl8gJas/q6YU86w/nfZrvMZrvMZrxPgLekhwCSBwURW6RHZgQ+oIUCEiGMGP7iL4e2uQ3vHrccIF+HE/AfDhvkcDamb0tTG48Wm4ba28AAAvOdx8r/tS15l2yUhHgCbIfe4PdsE4l2zY7iJ4f++AKD7nuGySdFkXFfi5Np1hhl+PEw1UtlFQ379oJNMRxG1WDbrWTv6miret4TENn2M+0aFqDxQGheZOyhAYoPzyfsPH41HVkgzirz4d5QhtKNfvNB4cNqMhVvADpGhJZFU10pupfpUGkpyKBEnMRntcAwirMK5S1Z/VXKwrkygrw7iBm/0ww3HO4vozdMNqOp4egQ/PxczwOQ0zmqAFwE0bBIKbtqqw0HcDFSxbNEubZzVnUWQAwM81Xy4BXiBwETRwPkijUtgjVJG6RpY154mUpEdQwCBaIg2Iz7j+HSBdyQGqrQVlJrPPRjWHC1jwCkhJr5GMAld2Hqj+K1aLBPcwaBRQ/S658Zc7Gu6r2R1B6YnCWSlSpQzxrqwe/Xo/cfgkyIdTtayat3n/nXOtGRHg98coWpte5Xdj7T5K8Sl6e6ZDetLzvPrDWsxDx6pyugHnOWBmrI5ZVIzmMgvVuB9cQusiG5ora89z6bICWccyhM3iw+WwS99gvZ+B6jnobdOz2dqXkEB9Bi949X1UD1F8ViZHWu+rUoBVgchmfY9HTQHt+KxMrDwPqWD+So/NB48l8Iz7rsxSL4fscLzvreiAAuCcq1cnn7k1o9eKXvwuQbdcfs9rC3SXosOdYuveRYLRnCcgKzpPdMnscVptJ/xeWaIsT8AhDjQ9ZDSUB5G3l13odPGcyPOob+BFqde+xmu8xmu8xvP4Syhbld0F1hM+qwB62QByRFCYQdKPyE4z3nH8623Hfz4ObkxI6cfkezPgGRB8HiOClQzSUHQxETa4svLQAJ/MhJsXvzy2ragy4On4IMvMMc286GJMfjubzSnNeU72y3xWZoyb4TEmNg06jzslZpvi8xhl0JWUCPLZBSKO04B5zpAhlac9LYOcHr4AqT7EypHh9897+WU8SSs7IOGbwbnKCAVPVDgRVPaRicagY30Zw0dFW1lwaiqVOXxrG3ps7o5s/rwEIXNRgFQFt77hGAMNDPCy4gJBmcfltSklp/ryWGdxHMeYgITniTBQ+ZoJTTBqRuWtVODZt4ZU3kkqYr7+6tNgTloV15fiJpSWNqHHhWnD9/cb/uM//kGPGKXTe/r2ZIB/TS7X378EpjMleD3vsecArqoQcU/lknGPoEkjSzvpKdOiGnecbCQXSMnh7tqQVJjKpn+9N3L95LqMxELed+YIiuQSs0jaVPVcAVDwM7JRPbPPCXq1qmacp2MaugpuO1Xa0NnAndVDQQba6+fMkGelyeNnaYoZju0A3egr0L6crohUIL1d1tB1PhRBPwqg5bqqCoa8r5/fmVXft97KFDGv//WeR1Qh8xIUIH2qbLB3rKS5ERl8M1wtA7UpjjFygvldfjmgfAhe5oF9D+vZLqHsJXEDmSQN0escBlhp2DtV3cQIQ440/QGf1U95oPXVPE9dNMA8NsWVlkkqo9b9su4Pv3xOVoDsyzPMuBlAe6sKV9LJPEBsrueuEk3uwL63y0WMP1SgF/DznChY1xF+me/XeI3XeI3XeBp/HpBkSg542iB/evLaz6+HZDPmgGo48Ybp2NYaTaWEtJdjspm8d/aUMPtP2g8DfoEKg5h5octkE6z0jsel6TMrNelNQC8RlNO1u4fpHAO70w0yCYLMyfk+Q28f8NLzzw0098nTDFtkVFujOtE1owi+nVWWS6DZm+BvbzsVnoYtLxAw2GiiMJC+8zAL/lYEQEnbwJJyBSKQjz+XIMDaPTNTbk/XjmdSscM1sPL1XQYPygsBxKcd/Lc0XcwMa1IacAEWDjj4OWNMTHe02Pez0jGnlWEb+7UjXMogTiJwymDQ6UD9EXK5b70Vb/2aeT1CGtdizgWoZmdg0ZYAQQvgmJ+jEGza8Mv3dxyPBxutnQpmAsF//OM3es2ARonT/ZJNfcqfPgGTvNbX6xaHe1k3nLgthSMCQCSYut5rLUDS4yI1fT8m0ogPvrwtZlTj9qakUk7DxxhLBY7LDK0rxrmcrRO83M+JES7yEIQpKqPzPYwQmwp2Ufx+P/GwWZnppFghAIVlf05cX7gXkG5RXTNhz06CICivzXSn2lSskTms5qe1dU33qJ7yvol1hJUcESRFcIHvBPAZB1+z4vV8C1AlFhN2CbwFTJbkvDMrfwF42VAe6yQrCCrr2ZQ/V79GAkjwuP3MRMta7815PY45y5C0ToIX4RmX4EtPXpzfW1cmd4bX9arWfwWmAD4Nfw+/qXu60DfBNCpYPS3+Wt3rl57XOh4Q7pGEEdRzL98j8tXP6Av4QwikTK/EF4DovaIkvRsV+h7njGcx94KseBOo5F/Wxcxf5fOtqjL5bEUmf0I84QvgfY3XeI3XeA2Ov6RC4v71IesRlF9CqNg/BMKKQ2X2GVApuOHs4VWyqeI4B+7npPNwUAPStVtkcaxTtWtacNUjO9mD0nTOSQ65KLQDx4Vq5NMxMyvXCV5unfSe85x0nK9KAlWENAK8s5yspYAIg+8la+xu1f8ivnwkak5qrvD0e3P2nYxhYbKYPRkRgAfFJD0Mpi2HYcnX5MfJkqkUkDrmqwRSGVmB4+eRm3z893JJr5WlMrqL7zvOib236nXI5ulTDKrp+O6lcGRzVCA5zYsGk9dZAszMabiF50BSuZ6mU4RN8REgT3Mc54kxJr7dtloTBs5xVmNEbPHCfcUcDLYZZOyyZJMhgm2jKtjvH5/o8b3HjPXphtMd3oDmrBTZXNU8UWbe5zVzmxneL+nVCnpw+Y+nLKlAJgGdZYo6K1EBnJsSDGk4os9p1WNxDdBy3QnCvFSAR/UExYEYiq7SGu/lc1L9q4lezAH58nSZfxwT55i4vXU8puNHgMb0Acn7onrEMuj3BDfsX9o29puNcKifbrA4p3wOtQAlj+nQaN3KKoxImFBCoN2f5zuuc65jdwKebICeZk/FKblcL4v5WzDz8lyISHaF0PUKnDarEidCj5YKYENJjOvwucqSx3RttHfzelYBDNwpIMI+o+nGHihZClvXe1YC4MyZiZhMsKyjT4BmX9YogKJdtqCfHrEWhvmlp4qu8UfOe97/+fm5Lq+rP3FJJARaHJOK1PVBzHAe73WeHMC+d6gxSTHH+nSCfQLzt61jmGEiK58SwBRPc43LHH8FFwkioaikggeAli8iBK/xGq/xGq+xxp8GJNUsmyVpoNSmnvK5ESGLALe9F1//+23D52PgMBqV/csv3/Hx+UHpWhV8u3XAgLfeqt9BnPzxBDWAV7CRveO36D3JAJeJreQJoEz20jU+5UZzo916Q4/gYKacsFAmlj0wBBoa0sQ2vfqJBQyWzyMahYXUEkcGoAywvo4MEAFugjOkaWUKVb3iNaoalDfBN234cQxWYt52NidHED/G2vCLw55BgGT2FfV6REZ0eaJkcPkMRJ4w1UWGJs3bstIyzELelPScJtyUH5PGlK3T7FKddKEW/hwKqqLhEoSJ0MNij0ZUcxpVnqG+tY42QIwr1FmREmXP0u/3E/vWymH6cc4CSy0rZfEh1FeSAtF5vfK7m7BickyCxrZ3+o8E4DZ4+WogQFkq8JxHrBdfx7vup0U5qapJxrdZQbgglNYFzVgpvI4MjLoKdlXc856JSpJuUopO9V2X5MH9GKQsYgEFdwL4VE0zYZ9LgQe7AP2oJPXGmbTIEszT2EsSQGjvDaJxX7gDGjz+WmTRO6Mh+oCLoqygjCRtSiQUCIazOuCOVa2JY+khYT0jqKcnTgCaS+b9Ch7Mk/gl6566HF+BkbxmocC3bpXsglpFia4CtMbER5z+GKuDnMmGlRDItaqX+6IqSrFmtlBLm/HakhIOlD1BD6Bj2pfFxteUr8blfkf2PSjX4OFcFVeaJwTQrti6VGJkupOaKQSJYxrmlEggSQEW3mMBDuNw0nQTxsplJlSoGriAh12Maa+P1WvFEXEvNAE8pNpLeIMd8JH0Qq21BA4es6t57fx6TS9JgstiKZuiSMpJ00qeXXvTXuM1XuM1XmONv4ayhednMi6bgQqVijQqCi70K3jfN2gECX1TfH4MeHP8/vEJOBuA07hqgtzxLQLaocBxDCprAbVBNU3aBzm/2aBaWW/46g0IR3MG0CjJUESWb8wwZ5TIFhs9Q1aGWarHRC7zkFnuORfNSgOQ2PVYrhtYRIRlfBj/dJ8TN7TCdylzXMEh6HHxfd/w63HgHCdEBe+N3G33GQ3IUhukSqgc3RQzmrUzG6oiSP8BHojUOWUfjKoyaIpj38L/xYwVKY1KAQERqzs0p2NzNI9f4cZsbe/0JRFftCEA1aDaIji4NfZ2JH/dLQI6A6tQES1ovHdXzluL3g0DaTn3c2CY4aYawQxPsNSZAGR5KepaRWGbSAoX5/JzsoImjbS5d2Fwe5+TMqugetPjZN66NcGYBLEJgv8ZKMnf5dpLfrpngC6kobSmUDVE6aY+g6dFMH5KUF66FnWJ83a5jzNolcwGU/b4SfVJ2Ew8LSSmMxjFWtfrXgtZ5LEqXV1Cnc0cI77vnPS52briOOfyaAiQ3MKNUcMvJ48pwbsNj+SBQgLgCgR9o6xzrr/M7l/nRwG8NVa5zjOC/yvgy3nJh1s0zxdtShAN3+xrs7pGPAEXv3yX1LXj+ZDeZ4NrUIPKhryM9VzNZ9rzsyENYxN4bqoYQppdAxMmD7OVxEH6OEUVI3rJWqznHj0bddyXdemeMuQEG6yEIJ4VnJZtb+WpdPXJcfDZwuojnwljTCgaukjQt3LGpNa/hXjBHiaMKZV8vUFKzcqZeNjiO+rxFc/6VX3j/ah7v9xjlA3PamlSeVOlML/OQQn04fZTVeR6XeCXv4NzpD+94QVJXuM1XuM1vo4/DUiWtORqE6+Hffx7D0fwGc7H7sDHMSAKDAjuj1Gfd38ceN83CEg3+f1+Yrrhe6eizJEZ5wheRQTSGNDu0ejtQSNJvn9Pnnj2MsSGqo3Z0u2mGGPiHsaNmerUcP9NudVN2djQt47Pz6MyaaJ0a6+AOvbY/KwxDN/fNjyiOfmJegHB1htmUH3y6x0g5zmqCTn4+zDv8+VsvXWq2mzCyoA4N1/RUKYK+kHKT8KAbVOcJ93CmWV2zmUGl00qOsr+FSkAw4BghslJ0r5yjrtQYvV0Z5N5b+jmOJw8/66KDYKRYdqFapTZZsv40FnNuPUGQC6UFsEmDWKCwyY8st1p/OeRDW674DGsVMHyuPdG47srJSkBbNJSMqicxnnrsd5Pm3AJ5bGYV3OKMDQRurTHvGUfExDKWQGUk2JUayEDzwxIHVUJ5LxI0BG9gOZgCWCtj0syIH++h8yvzAQQmTm/BEaeGd24t0r9OXxjsrFaolfDQRNQhBBCYNQW1Y0qNMR50reCSnt2OcamUtz9Asf5WZ0Axjwz91IKWdlX1bpCewhdePbE0ADP3CrRkKC+YWWp3xorbglWRtB3RFL+Ot7rXo3xHgG05hzmJF+v4+UmXsrjCSjCnC+eEdnfcb1mZYIqq4mdl/85srW4TquiyUOZ8YEKrkPPmyhWW1Y23IFfbhscwN4Vvz1O9pzpuscgAukOG1wXPZI+ANXfcu0k1WupAUqdb51Xrm/hdQSAYVfjSR7XNC/XepdFE8s/4ytDOZHvpIIaK9j1AMGzMple7/O45qJA38KHJz438hyr2lFnU1cXP6HWhUTXP19f/kco5jVe4zVe4zVq/HlAUhk2ZuzmZXO+PrLvJ2lFPpkppjGd4zhONixr8OzBADb7DyCsYHyEws7MoFoUmwqGz8iCciNzSe55JTPLhK6OGc+eApZB3fAwpiNqKfWViMLFw/PBjTKnERA6UH0r7g5tittGx+5s4j6m0TwxR26MDpxjREDnPwcd16A1JnTacqF+BNUt+ykygDvCV2JvDdlv8DDy+CGhuKSN8zY4b61zux+ZeZzMmGpD0RCYlbxcY0+6F9/zfes4xsQppJth0gBxTMPvFln1JqhIXoBNFOclMLFLGDMnAySf9DphDLwY3SkTnEH+FmnaDLzh7OF4CyrJYRMwUoQ0qCDX7LNJBPwRxF0Vj9wclsFaKMd5W1ld9qNE8GIe691LJnQclK9O4JGVl6TEXZLFTylXEVmu6teop8ULK+BcgW2CCeBKgWIwTGf1AJoeXkDZMOwOV1JZ3Ehl2XuH6sQRRpG8LSlznL0bkAAjMyPsy1IPMDCiifg6RFj1qGQBBBLCBKqsKu69YQyjOl0qjgFVpbDpZdL3t7cdH58nA1jhBU0QCpD2Nd3xtnecwyCBpLpQOAMi6LdW1zTXeKts/oo9r4AyKan57MkVnApduHyWp0RxAAkN8HB9YH6Zwp+eC3DHMUZUJ73A0QzQsL4sjjee0wmgVsM619d5kb0S8UhgEISrKuY5Ib7ofbpuCwLGp+eCXDBBNsoTZLT3HRuAmwp+O5ZLfQLiTakYprJkwDlHz1Ag75cEc+4ERFNZuc5XX+c++6OKBieoih2EyZOvcKPOKNb2+vf4/ABMnOPrAaIAdl5P5FPrBU5e4zVe4zV+Gn8akMxpdEyWFcRQAYsAo0l4HVw2aotmbI1sZ4ICn6RXuDF7nRtZauxrmB+kCpJog/lAF9IzzI1N6KGOhUu2Nc20UrI1t6tzTkyTMsbr0QRMP4fFlU5qAODYeseczIGb8Zx7azjmKBDzWZstN+Qfx3jaCJvq6m25BKEOXBN8gAJ7GOplMOigOzXivdpXk6oIlaMOI31p2qKCUMKYtKpjTHLXwSyzBVjQqDKxsZW/pzJRqCX9QcB8BSVUQFNWApJu1RsNKd2pOmUEnb0RMJl7NXw6HONYQWceD5rgPgdOm7i1zqqXe6l7DTg6tOY/phEJNQTArSu6kV5lYP9JeiIoBNLWNRhwbFIhFW5NwuvEi6ZylRIG2DQ8w2bezAuM8O92iai4ALNy9zW6zeoHgc+l6dz9Mv2kK82RgEC+ZOoD9ECK2paN/H4JSDNgquAOlPDVUNgCgM9zYFPF29bx8aBHkBswxZAp54yBt+g7mTPWajwPtF09GHKtsrJX96uvAK83glBX4HMOmJGaJZpqcNGr5MCt03hSlJXRQYMdvPdOcQqj5PfWaaR4jomPxwkFcChlkNmj0ta9J2tO7Do5hpD3RVVfe1Occ+I4Z/Vu1PXyBVbynHPux2Cjd1Yx19s8sfQTLWtNHQU3rrdh+R/NiZ7rTCW8M/I5w2O7bRveescxBqYDx7y0wkfFU7EOSMEqVgoC5DPK52U9XpbeE5Cq9cp57I2ViE/Pf+crkkJ2jznJkWA3WWThZLMkqQXYtkaRjGE4xkRzPqOfMRyfPZmkahq9Lg6cMCZh8niu1yF+R8DnkQz5gin8mgiQWi9fK5XZ4PKloPYar/Ear/EaAPR//ZL/xQeowo2NpBlENhV83zvESRd52xveomkws4jMYTl6b/h228j77w23reP72wZHZJjh+HbbipZyLcGfx4E9ZEXHNJzHLIWYbGStIE+kNosZzevpDD0iWGwi5XNiw/F4jPrMYVYSnWYzAhWDTaozbU1r07fi5wfs8RU45M8JRrRdMvqaAfACJrfOJuxv214bqULCgDLpMgxO3R0/xsAAKVoI47vPg4Cwda1gNytbNOnjl7VGSd3e8nUETlsEEa2lQeHzuRT3HaRWKVKKVS5BFT06jjkD6DEgO05SqYZdFMWyqdRRTfMSX5Dzlv8/xsTnYF/IaRPTgbdtQzak58SL8L157ZOPnoBwbw1/63t4v6ACQhGaH5p59aFcA/Cv1aJ0lf+2bTW3EmA43cSNjVFx/8iiCEXw2rIJNoOwAIVXMGjT2RxvfqHTRRR0CeiSntQ1M95SAPO2tVWpDE8VQPA4WEXag6L4tnWYGX7cj7pPyoDRKBGca7wFoM+MtqSZZgKvSxlA4tz6rti3xvOGhG8R53MMo/BBo1Ruzk/ryr4RFfzy7R1764CzGV+EvhDm8RyI71Yw+77tvbxZJH6vInjbgyZUx5r3YlQgAnh/3zr+b+87vt8Y9J5nrOPxBbC7rEoNnh5HS6WqAtkVnF8H3yPL2DDmL+enAElcE6jg9+PEj+PEEYaL8DX/XRVv24a//cvfgXZJZMR3a6rxyQJBaSaapoEp2FAFuzquCN7jGZ+sr6TcDUuDzaTREeBkH9pjzFLiyvNJDxRDUFRBWfIE1u6LJirK6iuraKvXo3p34m+3rhQZccdjzqoIP817PLMk+2Z8zQfqc9fcx1WKOYy+kXy5oNDJC4y8xmu8xmv88fjTFZJyvcZ62Jp7bIYMSLYIgI6SsNXINDFYMEVtjNMMQ9gA/ZgTTZQ0nGl4nCMkeQUIucytKeZhYVwlxf2/ZtAAVLa3GAK5kbY0aaQHBowu3Gn8JpH5FxGcc5Jz7DRsu0eT/ghTvUtoiqyM/NEGtEcgNUKBJhWBAJC7n+lZZ6XiYczutaAjPem0XDY996g8iVbzqWw8l8cMOlHyv5sy0AYN/hKsbcIeDO8RLG6KmypmI+1Mm7IPJLKAOXcM4vnZww2tNRxjMKATsMEWXgGfCGDDcdiorKm0Zz+GFqneLhou56SV3G3ilgASYURoK+j58ThKeevWOjqWYpELIBfOPSWFw227Nby1hvscwSEP2c8QKCiH+7jEX4NLAaskAI+3h6R1zXfT6M2I4NFD3c295H+Jw4LOk9/hqPdB1vWvJXNZZ2WIWaiWWYdfto7DDv6bORwG3VrcL1xnR4L5AEl7F8A77sfg/RzH15qiReo6pXFTrnaMGQEwJ6SHP4TZyvyvuhUYhAbdJ71IRAT71vF4HPzORlGMC8ZHNh83Ffx2/0SD4n27AX6yUiqO9/c3jMeBqcp1O2clDDITfs3Gq4QXTlRers3IzO43fN873lqDiuL3j09WdxAGjZkEiedOqk3lYyivG5X78nqvL4mnRqwvrwrc8yMkQEICpwQoed8YytfkKkiQXzCm4eN44PEfJ6oYIPL83bGexNYzOb96OdF7AWh8eW+eS4qIpFhA+iK1qEoNLJf7rGCtTkTUM6w+ML/Wfz43Aalm+dg/zgH3xoq7LI8ZuOPjGLw3zeqjHaHeJfyToG/12hT4AJ6uyR+BSH7m2jdq7jyB3h++5TVe4zVe47/1+NOAhI2VEXzHBsfN0Kox1gRo8SRX1Wpy31vHOUdRH+4Hm9t9R/HuxTPgEwIZMMDKzXprCmtsSs9AqhSELvHBNSGZG77L8mHouqQl04zPPY3FmC1733qoFhlmBGPfN8q9Po5IeWdGFg7PCbmOCGjPk70cGAxT9t7oE9CUXgHmeETgPqMxmu7arHZ0XXS3REOpZvOtd9zHqPOAkE4nCK1991IQAxw2OG/ivE652WemT8DAUgB83zf84/PA/RykuXStYF2E1ZX7OWlsKFTcYnWAzezZ/WGDAdTeGvat4T5nXRszFHd8Dodu/P5HgFwaaNI/5NY7birldXAeAz/GxNYb3vaNmf/OjPqPx4C5Yw+TxOnslxgeFRan+tZpVF5alJTIpEsqJUV46ctoTQVcT9Pxu50/gZasTkWrEA0csYwWIQSDt674cU5sXfH2RtrUGVKwvRPgpMeNqFcVJdd7ij3UYgeKjpKBalKEZty7LW7OM0Dr237DOahid84Z3xnnAa6J6QvIhlFDmIVaBJmkXUI5Z6rhOB/RnVS0L9UkP5OXI8DjOJcQA1D0x3xBF0VrDdMmj9NO+Hnil9sNrXc8jgfGeeI0Qw9KV2bK2ahOGtm14R1A9KlJHccVDMxpuD8G7hisclY3eVICG6mAWbWSZ1pfKrnZJcDPheJ1Z6yM+x+Np9+KLJnbBDn5mfoHnxD3dno5ZV+HPNXJv8CnBNuSQCnrM1iA5uvb4al6XGAkgeh0qqoZgI/HKGXEMvVECAYIABUKE1zRQILd+PKaqXzWO/cOG075ZzXsm0JC6CL7+rR/AXuegFmKNyCc4if1P+D5cJ6mLH+8qJRde2R++oDXeI3XeI3XqPGnAcmmiinMYrpbKbF8u3V8HOyzeAwDwmE7A4JxDBw6sXfy6DWyfLnR2xS8tV5UqXRTtgiI3BhMZiNkbUpC5SMGMgksMqzEJaaRS8DN95ArjCcaFzdgwb41vO29GmtVFdvGgPcxFl1NMpbJoFGwMmyxER2hfZ+boMiSrawAJoLUzLBvshqIMzOcCjyMCR3nSaCS2cCi5zjQGsFbqiBBUJUkd85/g4Q4Ab9vhHKYKSowOIdhBi2JLuzAtf/hGAymATCggIfMMoOQBgDaYMpA/K01tK54RFN7avcjPrY14XEMTqYbmyG88zw+zhNdtQAa/Vr4/uMcaE1grtgbe1l+HCceQU/qKmguGMYAeYLH9Pd9x8MNdztXoA8UAJQIyKu/RqSue55DXR8RyoWaYdhEb4oR9JnsEZEWUkki+N4bPg4KNaAR21JB7drqvxZzNqhLqS35UwrWA3j/fo543TrQMYwUK5FS0ZoTGGNgS3+Psb5TlcFa0uZSECDnZqrj/dYxBr1GUtkOIKDWJhBbvWZJOeSNu75HwKAyezvOaSV9DEkTVAdg6Eoq6MMMxxj4XYB/3RqaKD7PE11Jw6KsL2qdQglsue6xqFUXGtEZXkMASrmN/kNLiUnq0PmXBsWUiWkoKeoMdFOJqrcGEdJMJ9H3H0jDrlHX3fFTNfq9U5ji8xiYsqhLX40LrzEzrzM/aYCGllzjfqm6PC+lBc353yby5NsD5H3xc+WCfUFZ7VjgAwK8bx1e87oqHFlsuto1FUDK52rOfXyhqsCG4SrcldUoFU8f2PKbUpU63jk8lBcdGlRFJiIEYXtZ1RC/Lteaqsv8fAEoXwHIi7b1Gq/xGq/x8/hLfEh606BM8dnbw7jv1ls1Yn+MCdkU3RY9C84sVlPFbetoreHj81GBuikND89J3XwJhZwR4CS1/XsjrSs9B1u6cV+ysRKbnVw2WQgg0fshQEmLnilrCgaX33cqR/3jflD/H7GBCikfXRSnzPpM7boyrLlD2Qonpco1FyoBLtlEVUxYU5MNuwABAABJREFUgRG+luCrg0GwCmAKqEsFo0m3mbHZplPzzmYQpEN5gkJL07KuaBdwRABorG64s+cjqgMSMC8DBsbUK7vZw3RwzkXPMgvjMY9Gb2FWvkVwmXgm+x2ung0ZJGYjs8Y6WEwICQlWuqTnb5OKNY3eI/cpl0iAa+M4AZdJieKWEs7MypoZ3m4bpjkex1gCBF8Cs6zkJHBpEspmcezHdOhGUzbpjZQmYDlmby2y6fSB+J/3s3xCsocqM7SpssV5zab1SyCvYFXuOuK6ngEANlUcY2ZRg5SjRsEIaQEyQIqghq/Fx8Gm59uWMthcEz2qnEdQK0XpMyFxPV0Ft42S1mMYgVVzuC038KyuFuqLSM+MtLMe8yhNoKEZPkKFrwdQVqEQxtbYbzUHqyFdU6yB/TL3czzFiSqCTUhZs1jXerl+LYLn923D++0GN8OvH5+srDlWv9ElWw8PUQe3ENKwCv63raFJyqBLfcblUmEtJv7csv8IfzyGOzawJ8IC9Kd/Sza+Q1AyxV+HuXMTiESHF8hYx1DPp+ihSyXBPN9rbH6tTF8eszWf7C0DED0e33b2/nyMgXv49bhcZLcvn8HnFurDn0BBPCd6T6PJi7jKdPSGeD5pGer2RtVGgBLGzR1jsDerNaVHUjx38vuBfw5G6tcJmK6/vMzDq0LyGq/xGq/x8/jzlC3nh2SDoUjQs8DNkqJDftlQvILU20a6znQCgzZXMPK2b3Cj1O/HOWEQvAmpNo80tAvAMT025ghIIDQVdAds2PJxyBEghVlo7mYjNuRSPar41fEYs+gtJTkq7C0YkVXce18Vh9iinl3Pn77+p3J/ysUykKfSUVEYIrNq8BWYC/1Q3L1kU4EAVZo9CjyGKVSRaYhm32gg1zif1hVqrHaN6TV3BB2LqmHG4NoFmMMik7jmS0NgQEQw5sSGhuMxSnEqZZlT4cZF4LpUzajsg+rv4Zpa3hyiwNY6phne9sYG+micH1GtyJ4fyAJprIApRFmdsDhG01iL4tjR8N4bHI5fH4PX9CZUaPJnMJJ0/a6CvbM6A4A9RZeFZogeBTNsorjPQQPI6dh2rTVIqh0Dbm1a/S8zwNtpBO1J0clrw4oR6nxj+i7HwKNOwNhj3iXWL+lWrMJtm1Z1ykKkYmhkhqPakyBhhininI4DVufvacTnl6bt+HkPnxyAvg98vVeWPWlDRdFKT5C2KnEmrLaJRV+DsKJ4Tqpbfds3nIMiFN9uN17vOUN4I4BkBtdOEHgkxSzW3NutIw1EU1xg04beN3jSS+v6LgfvDOhFBS0kkSHAOJ/BRN+4xgweDvXrAbFobJdx9RjBc+IdiN6oRuCYRqeafV1RDctn0T8dlhULvkada8fF13c6qwhTDH1vJT2+Dp4XL5/zz8cpcb9ogbDHnPi2cSZnyiBjCSYoBPMiAO6xVitJcTmdC0aJfpe1j6zEideJlIcPUHLxxMSC1kFzTTM4UulxneL1O5/G9RfX3EfNzarwyB9c5td4jdd4jf/u408DktowkhYtNCjchMHPjE3ADaFckpm4bNqMBvZjUGXrbcM4SW35GCMyzqzAmAFNwzgslFbOGVKPsSmrCH4cJ+kSggUgfB1fBhwQXQZnDmzbhtut4fffPshFjgDBYhe0GdlkXcFZuqDPoKtZZKKr2pFD1sZ+mbw6tjGXqRvcabCnCwyk4zWAMHsLQDQX1UEEIWPM5nMIIKIYEZT2aAx2MBjMTKg4sG/9kvFDVVdcHJ/T0E2xRWVi6/oEvtIvYExflBJznJjVvDvjGFrT+o4GwTlT8hcY/rzpV5Vj8Nh3bXh/f8evHz9wDGPzPXzRPeDom1alKCtk5o45JrraU6QwhxWNjVUY4Me51InmQbqHRPCagcaM/hXSiRxbVBa+Nxr8ZdVia51VDvOg/zAw3xowxOFpJBcAuQmljNulagRB9TatoAZPlZE8sAx4qn4jl+UWa3SDVJWvqVD62FIOtuNxnNVgPicR3b61AtcpDmFuRdeJ2gWGe0h9L0nrM+aYFQven8Mdbzv7fmqNg9fpPGedd8oCV7DYFGdUP2ac694bfjuOqm68325wN2z7jvuPDyx1MsHWWhnxsdpIUHz4LEDyGJPVvDgnqolN/OPHb5WxX2t0zbPmBRKu66SE5TruTcudvUz6kJ4/0W8CLaCZ35GN1bmWE9Cn/LTBcZgxgaH0F8qMUFPSPAlAv0bJ616vgN5XI7cANcfHg3O+dSaPbPJhY25FreP1w0/B9nW+Ulmri+Bujv3WYDEHI2TH6/WRUEBWZBxVzcg5z8TAtcqc10XS4+cJM8kzmIlq1pRLJUYE+41u91lt/JLOqmm8robscfraNuj1n3XgLj9fh9d4jdd4jf/u489TtvzrPscy+MYcIY7T0LbwpRDSg+bJjXqaAYMbEgT4vM8KQH7cH9yIwWBUJRSkXCtYEhX2qSjoOeAesrL+LJFzCbTh9OS7bexPOcYKCoETKiP8IVafxBFBUlIAWm9QBEd+BoBoCoeQGuDsCXnKjZbsUbh7I7HHajDXJlCLBu3IHjdlNjJpO70veWH3oCCEahlNJhMoMWAZYkGBQDStcwNuWxx7IIjHiHMUBm6fxwnM8CBoUpngczq+tRbyn3EOcf1m9CGklHFmxNnT4yuLKmxkfrsxYG+uP2ccgaJKaGPze1PB/X6HAvQIccEDRglXu2z+AUaK1hcBz2yLtjKjypY6OzYHpgnOYXjfOgTA55iLTgRWLOCrJwbgdbsPg2NGH0Jkpc1xKismKgp3fu5jjlq7c1qFNG4MjMuQLqtiARYkwHWKPaSEcC2rtH6vRS41izktbpThTgnscVHVAnh/ZX9RiFHDzHGOUGGLPg6qvQkV6czhzXGEWhhAf5LMWKcRoQ3jvRGBpAkrajmHpAZS4UiUNNBdFW+9QXtWthwngN5bXD+nx1FIb/OembifJ+5j4PvtDccYAbap7nfcZ/RcIXqG2KNznsysp5EpWlTnAkibsopw7ZEQBVqYcpazOeKaxIu23kg3kytlSkpe2yPAt5RVCwAVOZBYP5VkJxgNMJLPkPsFxLkTwLfOeUyOZoou5HcsmtG68xwog8bskzAAuvFem+6sHgiwv7V6LkNSHCTBzLPHTX62OSWiNV5/Bi10OKstHoCOy5gV1dbinrJ4ziQ8yGdmfklU91pTzBmKcAgJbax5zFtCQPEMi0yO+upfcbA6lnTjAkfrdrrMm2cOCdClqlWzWokEzyv/B+WV13iN13iN1/jzxohwYK7mT4+M3Y6Gt95wP2f5CMxh0MkgYAYtRGC47Y1BVlQu9s6N+jEmH+i6pEgHHC1lGc2xb42UJScnGM5SPJ/7sQkEL2TtR2zgvg/j70UWfSJ45+Q5OyBWlKIxLdzamSEXdUyw4docuG1UGarsdWzq1+ybx58tguYRyjitt+jFId9eBdWg7nEOGaAI2Az61hS/HQPTDLd9Q7/t+HwcBRR6eFuknO9qQnY0UfTOHgKP69aEWf/MDEPAfo3YcO/TcDqVxUaY/pHmoJiTQVkLvxmJLO22P5sVNlWcoUh2n4Nx7Xk+ZfLzj7xe2histymVOU8/gpvQiG9c3kzwtXosFIK+B+0HrAiJ8hqM08rlXoQeDeYMzG9bA5yBusHRQYoWABxupHzYOtoBp/Ozh19CUJsGSAtydjmHGZ6utRkfMYfBLIDP16glQMkcpPRVQl5Q0qgCAqWSRJXVa5PRrHu4eXcJGtgK6s7JSsE0w3AuojQvBVh9GmceWzhiR6KgZGyxijTa9QJCUVlwbeyxyKzyW2Om/GNQrteNQEabwAOguRllWiUFFkhVdOdaotT4oHqWsg+kq2J7e8c5Tswx4GbsD7kE+KdbYLmgzl2qm0m9zPnLdZNZeY9769o4kTSnEWpoktcKwNfEuHgIFjTDOEm35G1zXf3rpwqB4xkQPrEFILIxiCazTKhsvVHxykmLyp51VoklZNWlrt/1EBPUd03hgwDoQslu7bxnVIAOxeTtQqpunu8lgHfw+5IyyYoRz/txDGxbq9cCQZuDVIKH1MsQ5QAKqK+vYbKnNQHbyZz0wvjcazN9XosZVbprdVZBcY6raENdgLzULk/rQy7/zfzABY9d/vU1XuM1XuM1/mj8JRUS7QKJwNoNOKbh46BnyN4b7mMiKRVZjZjm2BqpDJlVBrhh9ggKtk6p1yzNa2SG74OBbFcau7EJnbztW7gx3+dcm4UA3982HMeoTOvvx7k2F6zk8tWN3NzRnUBJhLKe/EC+oUHYYq4EKwq+5vMcT1Mkgsr0zUn3+i6Cw9NxGhBLpSQ26b+HWRhAYCGN2b8taEoO4ABf+7ifELBptm+NGXin0/XWGp2rhW7LxzTYCPqULMlelWwWJ9C79Yb0b55GX5GuDeOc+O08I5O5gJc2IkcVrAw+VvY9AZWAPQSXGC6y77auhzDzfM5Z/QmIrLYC6CAVsPnK5FfONz7YwH/81jvu50Sm/SWbwadXUPatd/TWItCJxRbsLnf22NxaKiExElVTPMaACPBt62hN8eMcBZgEwDFGBe1mjps0KEjbySpJmbtFNeSaVvaaG4e6M8CP5XftLVhNJbnepNZd/tlFYEZju23rJfRACpVVdSuz3K2zQV2bULUoAnAgAFNRYqSqX0tymGAizR2BoPmBoH/MySQDSMd87w2fc0YVI4A6HArH53EgaoLQAMxuQTcbrEJ2VVZbFEDLHhnF5+OAANjf3gAAahPfbzuvU9x793nC3aoCZdPpweOXfgjhd6YilWdWPObWwYW5cuaoqgjA4PVaRr5iRHdWnLb3ho/Ps+iP9TlIDxSFXWibXihk3UcE2wGMkt/E7EL0bSlsklZHYYkQATCD2XP/UxXbsICSSFZL4vfGZ5nV+XHG0gi1jj8O8tYoV/EZQiYqitNYfZM9vJNiTswdXValNdfyjCrddD7b8muzT5GKiB2nMLFTuaEECBdklz9fgaIgqG62Kn41J38AMtYbL//4T8HIC5K8xmu8xmv8s/GX+JDYZNOypNmIO3ni8WNmf5MPvDY0h7ZVSjdjYOYbvThKKccNTRpSfj65yKRxRVY8GiYNi4sOIUXp29aD2sRmyltv5WlxnjQ7vKYGNaRNKSmqYZ5GCsGIBuCtMbg8h8EtsvhzmTVaSOZmFi/N+0Qzk4o1OfCihSV4gQj23vE5JzrlhLBJe/JgEQAmE/vGCtMtHON/mwcbwLcdcxKEaQOOixEYaR+zQnkDcMyB1nuZEyaAdGEjvEa/TEqkXjOHqgt8oH6/glYAVWmp9z1Pe/2cmVUzJ70sM48K7K2HCzeDISRVBMtN+io1Os0BY4DbVK4xA5XZYBXw7JEpdQha0Mw0ZGWLGhJxYFPB5q2a6e8nG6tnigc0CWwj1TOQ3ysx/+OY6PulutQ1QOlSJ6upCqBIgLAiqqLeFJUoJIfjPRZBo4qgb4L7SXqQBHfqmKsXJHPk4lyDvWtUbQKYyrqWT1Lal58LFDqPlzLTof4WNLkWPSUt5Jo/x4QK8Le3HRDBI36G8/5Nqk7GfPegZfau5UC+9RbVCVZYznlS/GDb8fH5AcCx9Y7f7w/03tF7xzEycRBgfC4g57hc8wh2zbN3xwMcS2XD1+wFPkwwZusaXWLhGtq0hBEEgt9+3OGQn2SAcw2t6o2sPqP48ASHEmvg1lr1CPWmJaCQvWRNG7a+4fH5ef2mOEMpcJiXVERgRyi/5XVsKMrmkjq/3Ctx3k0oDkAxAsEYA//4cce+N/hk9ZE5A6k5zOdUym0nUFn9U4VGLhMRAD8a2reuF6y+AFweZ9LEEpSsQ886jVxxX4G+58pjzv/X65swiZ9zuVvxGq/xGq/xGs/jzze1u1PqU6jO0prQSd3Z0HoOu9CN1saSGe80fdPGYCz56VmWz02xueAUf9qAU7HrbWP/yBm88jnpr2BBTfm2dXycNL9DNCJn46gw2qRXxKDhWVNF6xL0kpDQDCWf3hXf950maTMDmgyYGJiyUqGwg/S0zBSn9j2Q3hIT7qyQvG8d3953/Ppxr16E6axUnINeJ0NJH/u+NbxFZel+TgwzvPcNb1tn5Qe8FmIzwBCz4D4Muza8tY4DcwUojQZ8dhqOyGduIf8KCHYozunRcL0ipdqUY0NPKVnkn76ywE8jAwC/vhhPmUWRkJOeBrPIuEv4Pzh7QppqVMwmpAl+2TkHP46TtMGmuIHVqN/OE7sSiAIMpkjlC0W2JvildRpDZtB3oTxlUL6CVB7fBJ3KexOMqTjnwHTA5wKOBipydaHs7mzAiRNKqSt4NAcD0TAc89ICECSQdyLDyzSuCKjWMhggupC+ktLbj5CATUAsTrreCCqjBIDKNHBWeSzojo6UjuWFTWj3R+pN+d4M8lgFvWTcp0WCIK5zmKUesc6pikeQ3pvibWO1bk7DcTCR0LsG1Q543AfOOUtK151VgDkMBwa28Dpqorg7RQrSaaK3hmOMoBBdeoC+AG6AxQZWMJ6WMgTRs5SvFUCM92Au85+ASNCpco0fY+IcM6/q83wiqUXLDPX6GlEUyIAn0AvfE2d1Z3nHhCrdORcFNSqDI65lPi8SPLs7HuHZwrUT6n8hchGYELsIJkB5bzwVcEJwBHiEkEPfGtffSXqqAkGptGsuI8Qz1rPm2pmXhcE87wTWGr/US6/X02T69cd1kG6IBNiS+uUXXa4bVov7pS77T4ofC+Dm8f4XL36N13iN1/hvPf4SHxIHg9rb1vCtK/7jQaWeCQYjZ2TXxZmxnrjQEsxxnoYWG6kKMAbVmd5vnZUOD9qAkuKRJmklixu0IwtFo/eQkzyckqT3k27TLouTLLFh6dapkJVUFSEF5+GOMSf2vqGplqldU3Kps9G8RWazsrQWSkPhNTCGVRAXf7A5NBqKW4CV3gTTJisvGbia4ffHyUBFBG4TaIoR/TbbvmQpzeiMfWuG3+2AKQFayryapTGYQ5R9F8z085yaNkjvzJ6DNLRdG445AKdqTc7RU6IxM5mIk8sqBFPMPO+Jul75vlo+VxBy+b2nApOHitkwCBSHzKiCseLTVaHR6D8DqGTmuLUIxi5Bs4oU26kCnyY4zfD7PLF3OlebXH0meDpngJxrDC4i+DFOvGkD3J7+LRW8mkRlKU42pZH3t17rg83Ezp6mCBptWjUmO1IhaGWEue6x1q4GVc0533OS5lfHENGYGb08LgwrUtg4QQRSHv1hjrq/pAJuHiulWFNmFheJa4KnJhKy3o4jKi3L3BP4vt+YyADFKX6/HwAIFlPFbJrj9/tJ9bS4fnnvlHkpos9nonr7c2FOm+gu2FoPChclqf/27R2A43EfkS0Hbrceb1v58bz2M6hUV3nz65C4fltraNrw+XisSsGXtd3j/FIhr6ni/jgLNH4dKwD3p34sEVaG09RVwHtbI5kxkwJXdu4ZvK+iwsfjACQrCUl7ooFp0qIgwDkosZ1JmjHscmxEcPm9V6qTCCvGW9PLs5DfsWdvR4o7eMr0rgpnwPQnClkevH2ZD2DdY1kpC1X3Apf6JQnilzlBVBmfvusPhlz+kuDHstICPD8ffnrnf/XJr/Ear/Ea/33HnwckiNJ3PPQfqVoVwZE75U+H0bV9qyZZVPOzTRpS6a4VULUWJl1YG9wudBKnWhFVjeagT8SmCnHHDM60C4BQ87yHFGtTLXdkUUGbDG56z6wYIKr4MSYpQZGBh6SqDSk5Z0j0ppneFv4oIsDbreE+Bj4eEejElqRC47t0Ay/t+5iHx5zYhEHsdMd/fj4CiMRrHNhvfWUTQeCmqth7wzkn7mEu1hozgzOIJRZvGEEv27tXtWq6YwwCo/d9g082ne6SqkWKQQHQ2uyB5025MqkiZWgGXDb6fH28tl+bqX2Zw2WmM+NJANgaQdcZPRY2vZqbtSnOCATgdOt+nDTm21SAyazpBIP8BKX5ZTOMB8sDBQQLDbqy5fFaEQ9Tt1i7YI9Eh2Ca4HNOpLJQmVTGfGwq+DwnfoyJHk25Kd0qwCXQ5TprEEhDiTFk03ULMGUJLaL3J4EmqwMB5rJaEEDlTXsBs+OcP4VFIvkfBnNnShLndYvjJbqNi6VeTc5ZdvFJcQlx4DMMFc8LcFhrRvDjk9TCM/oaEkiak5JFwQrSID0qdNPYW3ZdVw5+r8kCvK0pvr3tTECYYRPB4YZf3t9xP098fN4BEbxtGz6Po+R4s/+JzvNRFUAkDmKK4pHwBEpqGuA4z7OUzPI+y+v89+/v+DyO8A4yiFFmdkxfJoh/AHgARN/Xoku2UKwCfKmiZZUASY/1el7U/SjAbe8VPAtC0IO4gv45oujK6iMTMfFc6A1THB3safHWgDimrIJfazwigvdOSfERB2dOQYLb3us1+fwFBBMea4+g+grI1t+j4nyppOe6SrCe4hDZz+IBoq9Tq/UeD/U2v6z7df8XjzQnLOdXcaF7rQpiHuOCfmudvCDJa7zGa7zGz+NPAxJSBbKBkc3kvbOxOs332BPRMOYkYMmdL0Zu3Km+ktGhGTO8ZhPHOXGMia4T73uHIkzrwM3thOHWGlRDOcfWZ2Smd8wJUcX7tuF+DNJkhgdA0UjzZ4DKjY3VGjxxuEVkSZZGQN1UMd1wH5PeC2GydzxmBIaRuXaqQ4kwUGA1go3C710wxsRHOA0DmS1EbdC3reO3jwOf0/B9azgmHd2T2sY+liWjO92LHtVinh8h2ft1TDN82zYcw3EPLxdD+CoIinO9AMMzfeQr2ST7GMqEDyhvGnLZaXI5gt6UVCkAQc9a9IitsdKVSGUOi54KxXJlzutBMHVMqqilvHCHlCKXGwPcpDDlV3sCFUcJLmSg0eKaP8aIZvvVuJzmj0WJiqmwCKoMjl2X+3QBipy/SOG2zu8j+DIqfbXVf+H+7ECSQIbXemEDi96Fc0xIb7BQtxsWzu8VmHkFlPnBVJjjvXjbGhWOhOs2YzX3aKCOviJPzw0R3HrDMfj+R3i6ZJCdnjMZlFY2OYLIK9DPZm5VwXHMktxV1QIItKqwUnwTJ3h423rN7ffbG8YcUFX89vFJAQNhH81t6zgn7/0mBMpbypRbyFgH2vBIMHy77TjHqArNahInQPjb24Zphh/HAALsqgJ///bO85rrpFUFn8fJXp8QAnCsHojrSBonG8mxwMn1WYrnJvC1Tnitr3P3CLEROJWxChS4Y4JGmj0FO+I+yMZzaQIPFUAqcaVCFp7oebdQO7sfY62vqGZbzO+mCp9e93sqE1raBmUSRKToYHmemdjg8l2AVK439brF6/MueQnuXr7AZk7e9TWlg3x5j8Tz5DrHV8CRgG89Fv3p3n2N13iN13iNNf4CY8T408LMr3fc5wxqD4POM1SnttYAm9EQmbSUKNPHLlYZxQz03OljEpSJYYYf9wO3rdcGcI7JKoEZ3nvHLorHNNJDDAUuppP/PdwieLcV0ArlWdMdO2krFdWEKdzVs2HrjdKVY1IlCtxysqnUHTgzkBFu7qUSM9nPkpQtEcGPx2AAmUFyNGUEQ6aO7W3r+BwDn5PN9VvI+/72+YiKT3umdUj6BKyNPJug1wYpUFHcz1Gu8CP46hMBELCqBiqAm5RRZS2G+L4W1Sw3h3aCjc+gnt0aG26/9YZ/PA7cj1nX3cwxgzam9V0SvQYM2BoA0cagJihAbuSlawSAFr+b08KLhI7QAOCTogct1L5aZlAvi9pjXQHsM4gpumRH44USggXqF+DIysRA9BWMoJ9kfOTR+C6s2N3Ce+cIqVgaOTJjfZyzzDd7V2gj9z4z2nVcufoSMMSXCUhbOdJA8wKWVkZ3VaSu+g45Bzmvx5liCF7H5F8qfU2FSQcB9p1A6AiPjwQlCinhhAwONSo5GtLd2RexqeKmig8Ifpyj1jqfJ4rWQlVOqCKnEGy945gjXOMdx5i43W7o2vE47vj+9oYxJ874f9MGmxOQMH0M09amDRNWa74uv6++i5x8qlgJ3rQFUGDgf4boQdeG+3GWsIIA+HbbYNPwHz/uaw6VN/tNG/YQ43icE/fjLNqYuRe1M691VsnSsHRTLfGJ7OkBKDdtoeaXC+H97YbPxwPnnAs4IpUQFYbwKPKshDu+9a0qvgWwL8eAeAbeeiuvD4OxF24aRUhy2QrBYIFiPqSeVa5qfbKCUrAgXp9QwUEwPwPNZNXwCkLq4xLAB0i+FASf7oHMGOTf+XEBgeLZDXP2DcWzuyqpmWipU33++TVe4zVe4zU4/jQgEVDG9TwnPk66rRujwSUjO5mRV0lQsTabbWsMMnPTNycNx4N2oMukMAP4cUwcNtE6v9fBzK8qoK1B3dHBTXrrbJZNassMKdNtbxhHkJqaRiVkAQ6R1fDaIuOcG9o5J7OpzuAZmlUEBgBTmDez2DdFgpYkAcQ8Mt4xgW+94zMCDpYVVmAJ/hiAihUY+qC0MFYjhUmd1DR3VABB929UX0AGD1+DUICB5sfjQMr+JihzZ0CpKmg9speRKRcHaPqXBoRWPUL8UB530qHO6fh26/jbtmNrJMN8ax13meHJYqSs5Eln4AxUpUKQa8XDoJLgcETFZCrPZRP2wUwHPs+BTYVZ+5Y9CAQ3NIdcijqpotRbI6hxRF9KmF9GhUEbe4fMnNUB9+htimP2ALAbs+5v2wa5gIQzgNTWlJK8AD6OAR8o74qkScmkAhev2ZIrTnrjU0SI5z/NHJ8+qxlYwO9MiuWcAXizcV0l/i51CcfMnihdFZoEtB6vjWs1g7Kzb4rzXApmK4jjazxusj2MHheo4d/ftF0as3kv//1tp8z1OaLSanhTJaBzYAuQOucMIJBzYDjvn/i+31htGSc+HidsGp8PQkCsKRnscY17r2fV+0WZa1qeVyQuWtQ6hTLm5njq4XCEt8vk8+iXb7cQazBKhHvKZgftc+ukUG4Nw6ko1zfFPLJyKuGTwe9DXL/z0sM0zLEpK7fpIcK+qMvaivv4x/mIPhNZzx4hXXNGb1rSrbIE4pHgyQtnAbJFFvC+xf354xj4/eNRoKk3JXiMhTGOiT3mEMI+j+qmkac/1g+x7s0NDQ3j5AO6N8WI5yDimbHevMDg02cLzV/PLDHWqT4jfrl8hoPgPqszUFY3WzwPUzaYPjWSD84LhH2N13iN13iN6/jTgGTbOrRzY2GjN7O3e9cIPBx/e9vx6+PAMRiqbtGEzM1UStlEBdEoG87DWE2WDiDlVjR6QRQ0FLRjMDemgm3b8bjf8RiTYEGYWU4XaAPN50gjQzl5OwhMklPsznMbY4QSEaln5gQQItzQ5xHSuQp833sZ7h3R25JBZezxBUKKliMMJDL7CQSfOgP/yxZm5vi4U0Vr64qPg/PdlEEtlWwEI4Khlt/hM2gekd1Os7mgGC0p15Xl9qCvpZHiNIcPqQqIRMDfIEUFO+P8yIPnZn7bViZ3GBXB/vNxAJFNPs5RzbwZW7svGeH8mf9nb4MhqVEM5Fv0JdFQMvwv4vqaOQ6f6C3kjS8OaCVYlcGNcG1soeA0o8IiADwCOwhBXhrNHWMiifuSKV5H9Ygkj/9+sGG7B7UPAG69h3loBNgZYLkWALGge9k5q4qY8X9lX31dEws6Xkkn133Da7ullw48gCd/UlW8v+24Pw4gZK+5JhwwgSuz5cOykBD0xWt45QzUUh3MLomH7LmpKbqcQwamQPQMxf3y2zGWUpMwQ3+eg1ROXUDmfev4x/3ALg2qio/jxDALuWwCqi508GZ2fsLj2eBYlbCU286APasL55hwDOyXa5zXd2ZDNhxvbzt6a/g4zqL1zcjWG6LvLJrOx6SAhcS55T3YVUtQgsBjBCDzaoTPKR/mGEaJZG1SPUYAsGcjORZFD+awMSkCIYlMQiBEeE0qGI8H1nT6/nRd/isQ4HMMsEKw6HUpx27iVJQTekR9HicpZo1VJxXBeVhVbeHAqYbvb9vTM+B5Xa1blT/L+rc4aTfHabMSP1WpxgIXjiUbX+tPBbtSIe+5eCGXvy36KCSkf/OYfB3z1RQ3e8jy2ZUJhD+iy77Ga7zGa/x3H38akFDBR2FtZdS2pjgGJWpNgbtNaFPgws1/33o0mHOrGNNIaYqtozelTC8i4HQ2NEMZULemmKeVARirMsDHxyemG7N/oAxl0pMkwAaz2ux4H87MuoiQWhTACg583EMpJ3dNF3xThajiPgbGYMB52ztEgN/OE996xyPkS5ntvwR2sgK9ropt69hbK2+UVAiySw8JfAUsCSggEhlWnvP3veGXfavN9bfHwaZ/4TydY+JIUzX3LMLEZu4MQOPvc6I8NNzYFL5HPwyACtK54SqkY2WEpxEIKIPH1paxWY5hjnHQUPDDjpK51b4yjQqP8+V7RLAc40HO+WHG6k9koFtXiJHqNAcwdMncamOlRILylXSrpMDNcIE+zXDbOoOqYSVn6lhNzRYVkt5IbkqvDUEWhGQ1SAsA8+opygZ9TAa7pxmOx8TjXJS1bMrNHgJSdOJey0b1r3QWgNdDWX2Ty9pJRJ+0t6Q+OtIRfvnHZGBeHx3vy0D4Ho37kFQ2ukSwWF95jvlcuYnPalnhzJ4EJO2KXiwilKO99gakaSfACmBWBbZQ75tm4QkE/HicQfmLZ8rJKsS2dexxXf/+yxvOMaCD9E9ICEkY14MUcCCArkqQsR8nqVpb0PiuRM0xDeeguMTMvi6sqpaIUNUKFNiY08o7B7Hmt5DgBhwHJs45MAKMbl3Rhc+La7BsjpqnW6fZ4TEnhRbApEtH0JIMsNPiPluBvcPr3siqlkWkfU6jWlpSSJGVAXlahwIKOMCZtNl6x6+fd8zpeNsaHFjPISwgAfD5c5yzjF2/Ukp/Xmn5DwR3Cciv90L19zXFEXS0fK5mhYv9I47PYxaVMbBY/T2v7zrwqJJcDorbhC9/qfi3qmQGoPb59Emv8Rqv8RqvEeNPA5JsIGfDL6kwv9w2/OePRzVJuqM26GmG42SJ3jzUdSIj+fmg0/Vt71CJDJ/N2pxal8smRjrCpqRkZcB+Pw5AdKlZDcMUOlVLbMqZqeobecvzZANxUMiRe4pF8J4B23TH3QyWG31UFxSrJ+ARhozfbxtureFxTvx6fxQQAYC3vZd3yuccFYBlhjnlXOsiZWNvAhWP3oQcvvwFHmPiEQ7v04G9NegmOIX9Fun3Ms3ruk0jdcUbG/8ZKDGLusW5u4E+MUKQaUaJ3ZkHGqe3i0Cjh4U9C5z3IyhxYtmIe2liFin6HQBSYDwtBJxzMR1to2iBmFTQFfFPBcrbzh6LjBW066ooxO8kLnCLdUlVLMcWkr/TlilhNplzDliFIUVsFh2m+iFi3Whk7nP9tyCoTzP0RgPL1hQfYczXOiVRFVh+JOYpAVSN0CISoITgfAWDfN15qTRVucspKZ2f6U4KTqpH0bdnBWkadLEEA45L1hdJWAmPlACTZXb6NWqMOclrzIAdmUomxUWplNeEjvB5/6gKpoSsKwh+95CmTdEGm8s7w4XAT+vfuIZvtw1owGkT3/aGW2v4z/D7yKy2gP1J0GqFZsUyAskmAum6MvEVhGZHAN/3435UNj49h7Jqx3VlVRE6z4nf7wc9WUIGmPcMQcodBjtIY0yZc3TFv3274X9+PMJzCfUc2sMk0sxLUACWSRiUsITk8UVlp0pkl+uViygvpXmYE4pXhUIur811bkbzye7AL+/vcBGcv33gbWvYew+gOOg9hVqeNR7hWTXNEYzYp9dlFSaTI9m74VTeqGtTBq1Cr5djzidksyob0ZhuKFXF6f58UF8mJtdH9WLFwyznxeO2rY8IUJLVk1d15DVe4zVe44/HX2KMeAZnt0Xlwtzxy9sNn+Nk83DXyA4HPcqAxzHpN6CtHvKsEhB0nGNUwNWbssICh7WlyOTwUMYhPauBdIeuDG5mqAOVLLExg/V92wBBNGUCbRfolPI98DBWnKfBM0iJjWbWeQOAY2+k3bwFncsd+PU8yTmPjfHNqOolAkrrwvHb44hgkcH3ckTmptv7c1Mq8LyBZyZdVHAfE34/KsO5ieCMTO4xTirddMW8BBH7piU93FsPgTHOZ+uLAjSM/Rlwgq6q8LQI/IzHmiDg//jlHY9JiVuJrK94qmC1ao7PBvW7Mfvq5ug7fTkGUtggzjSajOEhQ+x0dhYPF/SoxKTiU7lSI3wHElBU8MqeH1M206YHh8vqRdqi4XweS7EoQUbK9FYmN8DgNYh7isuVEqTmhp6UlaCCZYC09ewFCAlWrMw6P48f3sCsuzT2ZrGKotXYfc0sV7wUme3ETccx6xxSxU1y7dlVxcqeAIsK/SEA0iABwxiZQ0bRxOq8L1UZFyo8XcUffLAC11VwxPXKJEGCg701evK4Q7TDbaBB8DhHKY/dKexc59SiP0l8gQACUsXjOMu5PCtCEdfC43ruvS2fJEc9OxLWJqAWR0kzx2xVdYa9L7n0eJ5NFd/3XokZAaszGfBvjQmWrTV8jlHVYggTKS0SIH972+lW7+yPKVAOVpjQqehl844pfOaZsc9LlQtd83pPgoC6Jpf1e8WX0x23pniYFWBtCMPVFeHDJqtIv90/cZwTW1RszAyneVQpWZlx80Vjje86UtHtUo35CkZSXINKd15KDJ43qfD52OPeSWW7WpeXv2xNQ8QDJSH8x4Mz4mAyiFUtKfGI+uBIKuW9OMF9qUGiz9Aw/vmXvMZrvMZr/LcdfxqQMNMm6Bde8rA03COlp0ej++Mcoc7joSREbr9eopjpszZMi6BvTkPfmHVXEXjswKwKREBkDtPkMWtlyp4DRGbB34NWle9bG/LKmtHFPDLVuKjuxAbcg0pz2sQ4DLpvEbDy+34/T7wFrePf/vaO3z4eOMbE/RxFz9kaHZU/w306aUE95m65gmeTOwOT7FPJ44azUiWTr6FizTIMO6KBPs3GYI7z9OgX0ZVp9wX2AOBv7zf8+nFnM2wn3cjSWTmy7tn8jgh6Dlv9KhnUsc8jmuQjRdhDIlXcKpj+vndsb6wc/DhGZV4lAswMTAQI2pSwbMMDKeUncfblIAI9WPplrGCSISx/py2y7SdBsgnn6qKmusBBgUMpABEfUyMD3LXuEOAxvjcawzUcrz25YbIqEBUQxprfe6ip5e8jHStx/RyIpmyCRvXgxkdwPaZRehWrKvK2dbhTbS7Pj8pxFDVtSkBa6mCZ6TUmIZIy+PX88wSy56Aqk7YU9cwBKELMgJF7JjSAqIKYY49K3TknxM/6Tkopo1CQxTl9yz6ESC5o0NxsGn5/HLzn2jIBnNOK1pn33JOqVj4b6lp7VbzGpZeF1V5OxqasaFLIQwOghJhAXN/b3jmP4aeksabd03BVMICnXplhjvs58G3vMHd8joHhtprJg540zfDrxyc8FQIF8FDWsup9YGUXYLVmqV6ttYj19qgWC761Hk39iHuMVVUPgI9YR2eo9b3tGwCEmWk8n9OLSmNOLzjA9QKkfV3bpJEp9NL/se4/PrtRwgRZlaDsNH4a/OSsZKIA5dU75ufXe9G0EpjXkOs9G/+JjMN0yoz4dKgDuype4zVe4zVe43n8aUDy/2fvX5YsSZIsQewwi6heM/eIyKomwmvRAGGBWQEfMISv61X/zeB3QDQgAjDAzGC6qyojM9zN7KqKMGNxmFn0mkf21FDkrq5UZbi72X2oioqq8GE+fI6CdIau/N9PP/2EcZx4P47gQgNvHwwEkv+dXOz0dSgvB3E0kBveew9FGCk+s0ZAuPWO+3nWRry3hvfBfpK+NbSu0KATtXah7EQTPbDcu9NwLXnsABuqK2CKPpDWFeaWffXRJxAZ1Gn4s9sKzHODM8efXl9KhvJ+jgrsemfQkk3GjqAaeAR+uDQMxx+9s6/mSitIZk6O3BST453ZunHJuhflAZQ6XoFwbNM8SHwcZ2WRNYKwvUdlxBlk9ZY8eQZv345RQExkbfyZuYcw8DrCuyHleEUc34+Bf/ey4+cAjKeRmqTK/p6siNAfgX0kedYqykyprd6Iwrm+ggSJc7kYngdQYUDZGs/L4nvGXISlK0jIfyPW6Nfbho9z0AQw5/kSs6Sh3DRfFKgrWolAUCRds9PYDrWu6jNlAelI0KMnGJNFJdwRKllm5W6eZoz71tACDPeu1TOTM9pU0RwQI4gyX03qGexRQMF+ACPX8xYweAuPujqPPOUEiE15b7svyVoDRQNSKjt9MObkvQQF2nZxGBeUgpoFFXSm0SAQohrsBclbyJOa1wQve6t7hmtBY42u+01V0UCQ/3Ef6F1xi/fl8ZVSX4DyJgoXrnkToJng4xikmoJeHSXhC8cMY8YU+/CQwXYHvsUzxAEcZ1SASwmZVCcxMNivAJvHbgqoeT1TEUBoa40VqPhZVuOqchbXcZpj+OP6LvAtjmEEJwDBU28CjwqtBijdgn5q5gWQLzifohNNHmhP9bzyaFavZ5/HelrJiqiNgdLHgjPpbnEm16WaMuw5mkjsC4XA6+y5vvhlqhQxiYOL58q6R5GvlXwExbXVoAdf+bjP8RzP8RzPAeDv5NTO6oFSGtcc5xjM/MVmsaXBHMILpCs8OfNC87SuGoE0ueVlIBfl+KQLORyGE4UGQHWs5JqTEhZN6m0FB7sqfto7fjsn3sZktSZew2A9/QZCqSgoA5BQ4gJ7Mirj6Itak3z7Kx/bDRjiuI+B85x4P9gfk70ZDm7a72Ogi5bTcu62VzCSwSn9PRTmQRyLQKtMhME99GXjp/XIevam+JfvHyUSUMeYx+5eGT+JX+wqS5q2a23nCQ4zkMygReM4y0/C2LdzTwdoA7ytY5zmDJBCHSilVN/OidfeOL8newLm4MVo+flNI/scTbUZvIdhim4CNan+kBXS8Nw85D1ZbUP1ZLSuZbA3I7jRClJQ6y0ToBnpTnc2VLs/AJH8UwLwiSXoWNF4ZqDz7wDKiT0DxwK+dQ5p3omiDmUm3UElMlaJJNSZpGg2Ft/blOD21jv+L//V/xF/+fNf8P/+n/6JDeetQ4yeES7sF2lodOaeXll4VYEYD/A6vwlEa/3GX0s1DXFf2wpE1ydIeXE4UEA6A+sZ55fVK3fe83NkIMj1eZxUk2qqNNOzvPi8B9+PE783MnxVjcqtA713/PTlFX/+7bfI0vPLtQuljc3x008vwDmgwvtawp/HzXHH6jk7jhneOXxObX2BkTr/XAcRLP+87XibAz5Dgtc9RBpQCmUEfnx/uyQJVuKCf5mX6kImIXId2boEDzd3GcXWDIW4QiZNcpHGYH+aAb3DHPiYs9T4WiiPXamFrQtpedGjBRBI9pYGkBp9f5ebII4/wdM0K8GGXtVbhUh4q+CxMV1BAJJJjQQn+Tyh2REoQAHAU7JXhHTJPJC/gS3SODS2FIL5UPjz33/LczzHczzHv+nxxyskkcrq247z445v37/jPgYpNALctOF0KxncFrKWqc9PRo0XTUHiM0c06DbNIBi1CRqRDbd5AaQJNKRGVQW32w047jhCfpameR231vDtnKXK4oKHwCYDzPTvcEc0j0dTZ4AOVSl1Lwf4M0E5zfemFcTex4RUZl4XzQqIQBpIo44MTH9vx8r5yqZuzyjkMhJMvEUWVaN6pMom6uH28NlJibiq0whQ1+djjHKPzs+/Zr+vVYZVHWLFyS4BTmbl8zszQ5of9tKpgvSX4+Sxu0dPCgEj+2y4dkwInsaIvpSgr+XFSJAIRfUs5DHm9Gbwb+6wcwUJKQWdoOJ0w9dtw3tIzXpMQjYEX+dizlmBUP1cUNS/KVaSqMmDr+D807XO92fWWh/WhNecZgY/w/mkSKkIzmEVsIoK6WG+wO0xSbn63/7Dz/iv/+v/K/6f/+3/Hf+/X39FD3DzdpwEbZrywwEMlEDPLBv/V0NvxqbQAF814TzHn153uDu+fZw85zw+kbq/zCndmueSgXw2igO835PSNY5VwWvCKmd5/BgwxvLuYIZ+Y1UnQ9SoaCRoy8Muo76Y8/Mc2NpGiqHRewhUvqUc99sHEyMBeNRTljf8mNwxZj1i6tpPMwpuxJcVmSe+28Dekn/oN3w/TmT1Js0xt1uPZ5HH/wcF1RdtKSsDHtcxjzNlaQ18rsxooK+eqFqPvMZHgcMsHgRVzK3ickGKJ6AAxLWqLG6xFr2qwwS2PPYelMl4GBZw6aoPzxE4qn/DwTl3t6oACyT8g+Jz8FgdUWWPD0AVx5y7SgzU42klGIpOmTRfd1ZKbFUnL4dXn1NUUfHP2O05nuM5nuM5YvxxH5IWcrXnWUFDV9KkmlAN6eOYFUD1VNdyxy9fv+B+pz+DgDKo2bAoyqbEphfPjPhOMZSE6zmpelXZsd5wP05yzAdTsMykC97OSdAiAlPuZIpoRs+NHNx4SmIXKQ8ZG0nQiBisMWAWEbz2BgOlSdNHpCkz/y+9409bx7fzrB6IKx0A+dmhb59Qhz9aAWeOz5vaNbEJeMnV0gdFgaCGVEWhXrtoXfXZzuzk22AGuWfDuGfmfs1Ffl/uxPn5b2Ne6E6PwKn6eipCAj7GhPSGX7YNv77f8Zd3uqj3UFVTBaTpMkuzoCgB5YECWTS3rJYkuE0jyvzKPNacxDkdrS+QnCP7oG7hFcIgZcn+plTx1ho+7qMCr5wwBtl5DAQ4nBcvU7rqy40gcvpab6wSSJn8ZeCvmr0716u/1kYTAYL21ZTghAEgr+U5JisKAvzD169oqnj7+MAxqIB321t9VzrCp5qa+6UakwvtCkbiHok4rIqGAsHb/cRty0eOFL0sPzPnI8Ffyg1fTURVpVzs963hPvm8GdNw4rFfQISUrnFafAcrhum/MmPec16GeTwfFG1bU3uOiY/zHe6UeO4i2KHwDpiNi4yy4WXfoeCzY0xWadYMsKohQK3raY4hDmoayFJvqq8XyvcaDVBbLBhtgg6aT7LnB/X8bZZgalGz8oJ2VZp+RvUzKw2KuPdtUWMrKM8sf5TqVPUCSi6Lz9lXU9K68cwHIkkRlWs4G+m3BNqecbukaji8IwRLrKrRrX2K+H19/eUJFiIOdXJRdL6QUoUA5yz5clT1+ApaPidg+ECJZ18mqORCR43+nGvR5HotRVn1fVK2nuM5nuM5fhx/GJB0odfHOUYErKGGZXQchlBd5HAvB+pb7/iwE799f78EicvYrjUFdNFmRAU+rPjrmcV3QfiREJCIAu9hHLj3FlK1DG6+fxx416BfeSi2mFfAOXxlYD03VVlZMVWB7KyMpGLN3hq2zt6Y6R4Gfw6bK6PXsqLijtfe8B7ggPSmcPW99Ck8whTg857PH0pR2VY0eHnjBQN0Ab5uHSP46Heb62Mia1jfJZRgdTALfQUe+VUul8BCsNS5ErgkKM0ArDWcwX8jYMngeik2zWn4bo7/1Zcb/jc/v+Kf3g+MAKc9DDaz4RQmOEGaSS/Xda4rg1c1YflkRGB8UXiSCJw+j8CEvN6N4Or7eTID7VnJs0slBaywZaCc6yq+X0WATkWxrbdo9ge2trj4AHCGiWBml0WZfJcmuO29KhIiguM+0HT1HT2skzj2BNMtKnVnSBTnuihvE3f8d//Tf8J/83/7b/Bl33CeNA6cH7aMAVUegrKmpARN86IISXxwve6yDlXCIC8aob9/nFGRoAnpGVXNvNdGgBxVoXdErC93XpM5PPo0gJetYUSPCUBgmD1PyLVbn833p6iERkY9zQ1z/bbwJLmfA7feAWHj+Zhcc1sAqmOyL2fbtOJ9Bemeww1N2Fd0hKfRtTeBZolMgEiep+sD5dElRT0ct95xzolzTMiW+CCqOhCcPmvdLjEL9kUxX8AJUBe0zmeyi2XzRz2PWgBAC5XBx0RHYpSVQNEEJQHuzRfNTJugb62ONaswHvdRc4qTuHh5l1CdN445BB+aKAUNsqlEPh1UJAEErGYnmN2jd7Boipe3FU01dx6PWZD1788jqVcJaLJnhABEatlfPqboX8KThjpo/HstpTzHczzHczwHgL8DIPkttPdFoj9Ck4cL3OfE5mxMfd03TOHvtr6RznBS2rIpG5Z718t+szjkjHskMuZLOWlGQKSdqavyK1HCopdbr74QaQy257SopFCKMcv6TUhryVL8xIV2wK8hyBCHmmNvitd9w2mG04zmdgDCHQ/DDNvWygBNIiB/6Y0c/wBWp1k0rz5m6Pxalfk8qspyfQeqn+Oa5jvN8M9v78XbrtfWRyV9yCvwqywuqk5T782AtuYmjrMFBzsDFXeqqykAUcUZ9BWCygx043Ojj+Nf3u/4x9cbXlrDh7N35XQqOm29lWFlC6PGM4L3zFK2pKhEwFCnG9UEgSw6yY9TWnSypBDR54IBxsvW0Nwx2/Vz+UcTxdcXOnTTCRx0pEbICINzs/cG8wltgpv0ikv2bR1TKhhl8y+/QNEaqhL0cTArf9taXRsH6hzvx+A562oG9/i/ETKvEu/5dj/x8U+/0pDPLK641D1n06sKyMZtnjhV1thrlaDhcWGh7t8ZOeOkf2XlJIPvrCyN6AMAVt9Oa0IlMaNyGNyxbfz3n3/7gDtw2xte9o0+DwHwtSn2vZWEtgUAyH4lj5R1xtMpqbv3jt/e75frG/02Y0Cy/0sQUadDQkXLzjBjVcdLUJG+HyNoUcz6nxGsN1FMmTXHEFDqOp5Nu7JJPntsBqgyWGIWl/wD1tXifegE5m6ktramBRpSYN095ImNlRmACY4Wz8UxrHyHruv8Wk19yPyDSZzyJBIU4MyloQFmkrablXIHVd5UBFsXuPFeiadpfGY8o/I44kvz+ZSdWFd5dIDrSTRksi/z1qJKmSdg8JJ8z5HPsPrJp+ppnucVI+W4vi7NJcfJ6ujt1jDn53c8x3M8x3M8xx8GJLn5u9PRd0bfhqhAmuI4TzRV/HTb8XaeQam6Y5yzNrBhzj4QrAbyiL3YvOnMxqb8qMVmIo1ZQBECIbdswJZqxKQalpUXw7Z3aFQzpGsIMzG7h2x8lbXJVL+LARsE3gRT+fqPc+BuVko9uTtlYJs9MYjNNBWEWmcjf+ZyizqgKEPEcTITv4Xfh3+Koh1rk8Vlvj5vmh7Z2StV60r5GiN8RswhTbHfWgW4mfXOMERqA47AJgPU+A5V+r+IM8D6GQRW5oDNWco/02lKKDG/C8Aa/vntjl9eNuxtw58/jqCdRfP5yL6YNSd7NGefThnYMjSM4JM9CVb9EwtixfUVQQuakDngeqF9gQHd1lutyT0kpYcTXDUR/gx0o7beIkvKoF/EisL3cY7w7+CHfcI1cdxafghZpaNvhVfw7bbU6a5BlGMBGncDTvY1wTnPU2LSP62lYY5znjkh9d1ba3D1oPHwZ7keqjMnI+MVIf+w/urXvnpi2iXAIw0uE/aXSPCSSW5KF/NplMUdZ4CcLmi94f1k30nvGjSzWO+B1Hos3i08aiaodqQRHDs4V+/3g9U2Y/N8b1QP1JeNviMS95MAbQ+pcw95YfA5NgIQzGkwISVMEWpbl0nimvSqRrkIbBimcr5XoGxwEXoHTa+1WJ8V00WQp0y8rAYu6KYlfyxBFZxRlVMJ4BDJmD3Wus1Qrnu4V6LHRVDVnKuqFClnjltv7FNJqBTV3DmzTwgwWx4wIqAC1UxfJEFzwf0g/bUH7SuX7vW+cUitmXoGXl5TDfQin6TU17xlMuO6ht3Xs6SSPLKqHw/+I/FZEve95TMmHqLujp6VtN95Rj/HczzHczzH30NlKx7ima3LB3c2F95edvi0oqjcQ+pRRbBtPTKjzJ5nxssNYeaF4HuvakFmOs0Y5CX33p0bgIBZ2d7YQD6C6oUAPbt20rQa8HY/KU3pqA08S/H5nbkdZ2b4pTeMabjPiXMacqu87b2CoGNMZpexAEBualkhaKph/sh5k2g6zibonErIAmnLmZvDmN57ACWfR2Gsa8CYfSm+mqBlY2An0bAv8b68vg9xp19AZ2Q9e+N16FGNON1xDyA53KA9s9wxD7Z8SqqRt5Mu89v9JH3MbQUb5viyb3UdSOfIgId8ehXBCYOBWdhNCEjPQHl0l/fFRXd+9wSvx9bDvwYoStLrzirb+xgQAHfj926q5LjHoNIa3dL7RiO4DNwyiEkJ6pzazBxfI5QEaZHzLVPBun4RqNc1AKI6xybhmX07vhr8M3M8p12CtVU5eQj+fV14dyqPiSVN7yIacBm8RFk9WU3u8ulc85o7UAaCSyb5ssDy2kQyIFXsWlRKzHmO29YoIX2yYiRY93EqXOV3jmGrf824Xpv2oEuFBHlUTygtzB6QPIfy20GYFELoVxMT0LaszgVYE8p0n4MAqmR4kc8DeTjhWgKCAuj53RZrUaN/pPrQMgCPz+za8HEuMCJCs9mtt5BnjvtNHPvWfhCbcCFtSwb7duRyvQR4SGqsax/Vs1jkTQT/7rbheyy06asyK8pndIo/QMBnvUf1K352H7OSS8i14ijwd13TGitumq+KhRNMtujxM0P1L24iJf98XXKZXHDggeJVx3m9SJd1nfvE/U7hi9fXrY4tyq5VgZbfyxg9x3M8x3M8B4C/k+zvqijkhscf2HR8zDsMwPtg0NeDVmPu6EGZ2FtSN7yqDcPJ2W5Nyf/HUuLCZSPtPTL6zjL8/ZzoEVjDmVndheZwPTZcd0fbWnl6iFwUlizc38FMuUZWszc20PcZvPxp4RQspGZlED4Ged97R1ZGWkST5tksz8D9tfdSxAKALoq7D9IlMlBxwBN1yGPg9pkffbkcAPi7qqJc5cQiIHKwObzdtKgFCYI8Qcg1ERiflRQQQYCX+HwKA8SxOylVHiDkZVO8hbpZ9iBUjJ3f52uNvI9R2Xh4csMdGj41JwnnXD/BVU9AdDppgmecS6p6UQrVoWnyOMnRNyMNCAgHeWHQ5JfvzkkQLMWz3huNMSPwcL/QgxDBewZFkUVHmlPiAsTic1Pu9zrd1wD9ISiTnG8GysPYK5JNyfuW9wUemsLhQYMKMJXeInmhE9RmFr2MAYObT0UzqUoB/Jp5vwSsGV/G/Zr/JrBxmKx74Zq0vk5IgozsibkfJ5BiBl0LlGn2L8XntKbom9IrJ0CzqgAKfIwRWXOp+8AcUc3iv0VYieJl9/rZDL8TBemdI5QDtae/0VovpRIX6ymfRXUPAb9z4gEVPQAhLhl5sO+oqUSFWKrakeIFH+eo3hQIsKng9bbxGRcAMyvHooKJSNZkEiboTZxDqc/JNZHHLJfjTjC0hVIVBLj7umYrhl90LwdWMqLFkzbeIxZ9QkEL3ZqiubPH7wK0uC5QD6rrUzBBiRmw7w26SYA3KSW36/1MR3VgE0XqhS3Jba+qRlaHrrikKK3xM5OLKEUA6XpV3b94jud4jud4jk/jDwOSL/tGfnNmoWNjGYiegWmxYYe0e2MQS5oGOdPUqOdGPyXVoaQoWnMSOLRQ73JFBb4ZTF0z7r0ptqbYe8cxRgVKJiiPFETw+6INQHCqhbSB29bhZhGsMpibIL3p1/sHlXnCzEwEuN8PfA83eWBJFSeHesCxYW1wGYhsqviy9Qq+Z6jPaAQHKXfKcdngI3AqMzXPbVHylZc41isY2FTw0ulk/TbO1TOTgVmesy+jr6xIMAxdI6s8xxyAC2SjP8oMULBrK+WaDLS/7I0qPAC2trwMyt8FqF6CCozzi93xHpz8omGEWMD5zn6dzKhmpSkVcVTZQ2ThcWCDykQ27BLkZHNvgj6PQJLH/qqdZnzhT2BwfB8HaDrpmCcbgVUJao4ZoU1UFvbWcJwjMrUrP54xKoDyLbgG9NlnY1igAPV6XvutK9QCgEoIKYisSot0vB9nUaasaCwoIJd0mwKXuVajYrd3XTKpSmPK7/fzATDV2ohu5weTOKD+nQpU0S5SQW0G1iqUFn4AbNHonUGvZeW0urnjMCIg96jUKaREIxThBh8o/Rown2PWGkgQY9Oi503hUW0TsJJwPwfGJJAd98lKEtaxufMZ1TpFM44j/TBQ1Z/q5xGvha5t3cd8afhZAFWlyp9zXmisCADfjgPSpdbG3jd8DPofQUiBcs8KxQLc2i/qdwC2W8Mm7GM5QvI65yV7fxIMOlD+QH1XvJ8DhxkFJ4o5lx1MPI4EmnnhUhRBhb4uqyl/VWU2pWz5iErDhamIUu6ST30esaZSxIF9PKvPhdmQOAIP2qkoptvD2i253nVR1vF7PN8aexmvAHslFAjKU3TjCuie4zme4zmeg+OPy/52Nm4nbxaZgcJ6oGeQN8bE1vjaM5SxeteU8+fmmFlOR/F6j5N9GgYGfcVfDm77DGpX/q6pYG8dw2bIBys2VRzTip6TgTaUfSotmlOhHt4FPPZUZpoTtcH1puWm/fZxEliFWRycmfMCS4hmXSy/jMqqCTdaaw0fY6IpKWGqBFQf5yhjuJhMVo1ig53he5IynZkBzT033a43Fby0jr3RmfA+GdhfI77eOu7jYIAuKA+LvTdWOx7oPnV5odF87cbqx5gThzCjCaPSk4P9IVvjdZhupOlFc38GsEmXuecJRAY+0ZBNNg2raBV8IOwvSZqLe1ToGn9ncZmzgpFN6+NYqm2trYx/ZjHVV3WIoIEVDtOH0y/A0rdF99J4QRfFvm84xkn1pWE4Tioz7b1VoHSJs7n2s/oE9iqkkpnnnx6KResQGOxAim+fP5c4vy8vGwAGtcecVPZ6uKCoKkIFVUIVLAfQ+8bA2biermaRV2WnlCTODHk1GisBV4Ihq6Ifry/Xpl/WNh8GYgTqeXx537YA62Y01os8e/nm5HdzDtd85GETgKCMN6c5xMn1HzP6ziK5grEkctkbpthbg81FFbv66nBNI55HwBFS4JlAkEjAeK7PB6iPqmylIEd1PRkz8L3EAfhsUxUcRlBkCIAqwj6ZuA8hi756juuXAToELy99VS3yIRzBusY9EH70ND0EIKqVYGFPFaBdcbrBplS/jieSzOTAw9ev5EkKElyBq8taT6JMDAyjQWcCnCaCGSDy1ltRgKtfxNd987k6ks8Mie+rimBlCfJF1+Nd4DjBWev5DObaza8uyfi4Lc1XP99zPMdzPMdzrPGHAcl9TnSsh2waqLUIeGemnWNbfT/Ixd+/bBCnw7IgKRiIAIfNmVtI1ao4dCPNpEVAC2Fz5DhZ7fj6eoMLN8vMaqVje/7f+3mWmV4m3oPsE4pIVopIKbOa3GREZk6U2eq3+1k69C0CgDGT0sHzsMnXbprmglKxRwbG6Y+hznOWCNr5alZiMuN+C6qRO1jlgS7lnajytDyx4J0LqA729bZHleHEGYFfcbOn4+O8B5Dx8D65ZO4jq3d1V3ZQDpVmlApp4SsgKfEpq4Ezgv0RkqwvqtijHyCBRVvlmMqWZkY+s9yZub42+IsgxA0oL9s65X3j0uBuzMQnDS6byi0msrXgzavg/BiYIvjyuoWKFI+/AogAhOx/yEAq6FhYoIZePJz3DmDfdryPia878HZM2HQGkPEd6d3z075hbxEQg1W5ORk9SiJ2XKo4WPMrJbF2mZt47VXiNKs1Ft+h0VdhFipg0czNJexVvjB37F1xgsF7Vy2AfQUn5rweqlLrCII616oUVJY4AlUAX142zPj+rH4tdbgFXIEiMSKKppeseYB9RyjlLbrMMbn+tpZ0L4G71fV1YSVma6E0BUd3re9/2TuOk8+vY0y8bJ1B7w3VfzCN9/0mvJ4O4G0Y5hxLJUq4pm9bDwPKkCFGZOuFVMLWEhjyjS9bx3lJsrR4Tnj01ex7K1BsDozJXrYMtrXoXpchwLZpyWXn/Z0gnpWJGfOJAFLxP7fqoRjT41oQ+OjWcD9X5YhLKSqvnw7B4hqNYZfnrkGgoTjH8091LlZkjB5UHqIowqrsy9bxdp4E9VFpc2dFb85Hn5o8zXws53GuOyvAYM4h4jmSFTZBmfN+BpXwfC6hgEuC8c8CJc/xHM/xHM/xdwAkuSHmvim9UZZUCDLgUhKO2eArQWtJ5as5jaouXfCqPSgqARxsZWA9JHbbplCQIqTKbPO+ddw/DiazDDSqQ/YdCN49MuBxzBabCX0CQoWlBe1CEfKgjmzCoFJSRLkZ5EXKVUTRNoVAQ11mZddhjtbbg+meBVipDLIIuc6RxUxX79vWgqJkGKdBJ13NaZ4mRDFzBWACCZlZVHY4r1F6WaxjWJtv/p37KqsD2Uh/H5OqObL6VXJzNnDTNfIdgnonJd+adJQuEfRGQJJA6Opo7+54aeHToqx+deEaGNOrITz73GtNYBV6PkJmepqVqZ47KVp+6T9i3BprIQCqw/Hy0mEWFMGoPMXlgUUQmb0vGgaW6pwHk8/u6xKgbcAA7G1jsNisfG5GAjIDWvRgvEUfSAKhRxO1Chd/GNWfUGNBpgeqnwTFJILTfW/oqvgIsQkDK40prmDwqJDNJU0t6Vfh2FoAxwvASNohgAK5GdRlP4+EJ5CFQ/cxDS0qqJRrXVlrIHsa6itg0x8qjgsekmrlCdJAsHuOpIg5hsTaS+oakjYUSZS6GVaYqULBgmmOt490sY9nm0sBUgOrLLfwXjktng/ZS3TpRzJ37G1RG1FXV8qzI9UFIcDhbMYW96IVba3h8Hk5B1zuiUdVL1GJDNH6WWtRVYt7coYHSS7kFAEA2FOE8CfRqAjsjSCtBfXzPK9Bv1TF8nNVoJ5DUVEfD1WoAJhggkuF4D7yLIAIujZsqrhPi+ot1yiORW1bzz1BawjTxgt+yPnFAvkPSRe5VEziv7XmPFceauWtiV4AJ1/7+Zn1HM/xHM/xHI/jjze1c8d5yCwJopSdZfVQV0FkYpuESVsEfKmVb8PxJhObam1KSX8wF5jEey1oYBe+S9eGv9wHRIGvX29QCD7GoKQtUNx+CaBzbbrM41VBuVqPoKqsgJABhYIBrkTwYiFlOaLJPZszHcyS6nb1VuFIOdrc5I7BAOzn24aPQSqbK9XCtqYBGJa/i2AZL9plO1RlYJT+F7mxDsqV4aVRGeqwlRXOjfKh4VJYxZjCrDKpVIvflU3oCBAETkXQ2IBml2wggNYa5nGyCtIEQwAbrBTcXqhOtmtWe7zmcO9UUdKMsERIxfKMf1dw5RYBfsvgacmKqqAklnOZtqbsETBmot2WWzNiXVIalgFmAbwreT0iqJbUoKiU8DPiIJ1Z8+/jg87vIvBYfyVIIFSb+svHQaldZwOzCjO7EiDvGkh+DmpyOn4v+1rrxqVU1xhY0XRumEG7YJy2KJZKsCC+msaTaiWNgXYCgarYxEHMaZCm0VPjMJPqlcnPVwhetx4yxZyLI9TxGHCubL4jKg+FoIEtPEaq0kLFAkqQx7vmNGxRVdTeMKOHR5viPENgQRWtKX552XEOw/scgBMMHxfUngplvfO+kLivWHUwvE/OcesKdYpymGQj9loLqloqdoLsNyOdVLJr+jKasMfu/RjY94ZfXm70xwGNGdMB/bGL7PdXSRaYMnkBsOqShp1JK8yjoFQxgKgoaSRmWjSwZw/KmFS2G3E/VT9KPKO95XMmgE+sJfdVFdEmATL1IVEhmhWQqELmehfAnRLgAuCAY9OGIxTnUvkrxUyufWlcy6jqxfVDNSopaSZ5ncv69gAjKSOOSyXw4R2ef/r6u/z4uud4jud4juf4OwCSbCqP/Bw32QAYlLadzErPlRmaw+ClCe8VFCvAjSk+18ZcgTgSOADTJhD85RHZ7/Mc9Z1wUrjG+yNf1xF8dFs/aEKKRv47v6kqIJdUaVJbGFhIVQ2mO+aYOHHJdLpjdsXrtoVh3WN4UHugh3SlAfdh2FSxRXN8bqL3cwAOfNwn9tZKT19BGsucVhnolO/MYIHHHUIDbmWINqN/Y9taBGDZPICirLXGzdzNMSTqTZ5Sl8tsDwAM9Fa5bY0eIAFS5zSMbNo3gxiimpSLwbG1VM4yDOdaEXNMiQpIzHXK3FTQLQl/HQs2yjqquH4qCpN5CRBQ12QOW5lXz/6cOLMMRo8ELlpVBviSsU1J2KRsaYAUM8etNTgMpwnO8F5oTXGLpn/S+hyZTU7zSEHS5IDT5qL8PeS81/DLn9eMbXHYcbmPHCWZ7b78MmhaxxPUWO+tt6qYWAbgTqpXb0u2l1jkRzodwUW4kw9DE+B1b3g7ZzXF37YGBZu836PBYQ5fVDCg7sWmAt2kqoxZGUrPFon1Lh5O5vnvAAVzLE+a/HSuBVZgdhAQzgi8fXqJTODy+rynBEy8jGFoPcCps/L1snWIKN7vJ+mNYGXm4VmQiRH3ot1JXLeu+XnAFtXSMSeOaTjcqAplhqvkRH7251UiceC9aT0vepOi0omT7inprp6xtiNk2FllgK3sP4HiJJg8P9Gh0i9FAMmWsEtFQUVwP+dFRnolpx7X8qLCbW1dsysYaKKwOWgg2emFlGpjrYUceKoB4lP1Qq7fBWyNkt0/APuiRCKukRTAfnjZ9dh/50aV64ue4zme4zmeo8YfBiSn2drQ8+EeD9w5GUipAabRsB7Z+GzQLBCjzNamDCtkyasmrxggHUdUcJiR2hFfuvcGDyuQc0z89dsbtDX8/PIa9KAN396+YcwBF69s3La3i4LRRU0l/lIBam3QK1OWyfKrEzYnYP3heNx/krLiWMGTx/ef58T+stU8Jq1EgrrURPA+J5oZXjupNtMdUMWtd5xmsDFKyWpl9ShrOWJTJhUigGAHOhQnJswFt664Y2K6QV2LtvMgC/ywoS5+dWr/94sMqzb6WABW547JDHz27RzB7c7rnp9PP5FEAOyxqabUa1QUVaEEjZ8vgOu18ZrfYQFsroFm0bMuAS5ireZHPpx/BL7V2KpUVDqnBXUtFJqGw0N1CIg+E2MWtm8a9L31dVtr+PLygt/e3nCaRWUPUQHBD6Omwa+vWUppfjneBJXp1k7AFkDW2ESfvRpZnVnXJgQBzglVguY8bvb82CXrTy8PEb6XZoWANMUZgDez1OkLksGyX9dn0n0iYZGBNYL2VcCkKVQpFDB9xvrhuPWGwwGBRQDqdXzaqD415wdEgNttY++akao0fNYxZE9LNqhLi8ZxAC+vvZTNqlp3DLxuG15axzkmxumYkxTIy6pb1yR+sjXFFk3+mZQQYdXl23nW8jPx6v3I4eK/u0a4vgV9o8GiI6lUvIhp3pn0MLscj8S95rbWSIt78rz04ORCzMbtrhdwkVTLXMdYhy3Ciq/Lolvmgs4nmIFS3lvX+u46r1BdHtFnpkK5X5GgkM41h7h+77otikp8H2eAmdWAn1S/3x3+41/r6CQhFR6u73M8x3M8x3P8OP4wIEmfEI3AXRNwxObDTKLBh6Pv3Dlc/CGbzgc2aRIQZuMywBvuS440ggiPzOjrtvH9kZFPMzsgaFPnwDlGGKOdqHy6oYwTU+4TggomeF5C2kVSDOxxQypue6grPbi1g+ef6mNsWA9wlZlcMJj1VADq3PVHBPVFn6qsNZV9RIC344T58t6Y0/F9HpWZz0x9b63A4vdzPPQFJMBrDvzUFb9ezMJureGYM5qrV/Xhc59CfsbWGZyeIxtN6a6css0nPDptUfKtEmDAjVSRVC+DJBigdOvkxWTQYLOCl+Sln9MY6MScpa8CjyyO30B/AYlsL1cIEJSdl63h4yAIG6GmpsL+hwzGHq69LSWdYRbypg4RwxkZWQlFsHtQx/amuGMplWUfhXd+Rxuh9CYMQn97f6NqmwCSQOw6EiDjEZv9YCDt+Z/Lz37n760rfBivBxzaWK2EsQfD496QWL+U8yZ/btt7UX0Arsdp4RMTgKhUiMxxz6x4LCeqrYVpoQd4FH4/QYOW/4a5AyebtbVKj1FlMMMo0wgpxTPKDIfqUoLinLfoH2r1WeEo7r4SJWNiYnmLAASYGqphvRG89VDaMwg0RDXe7icAhKnhhE+HNb8E1Tw2XiMt8Gn22POVAXV66eQ5vPZeDudVFcVaF5elAmDdO9l1Y9OiSiEPC+l6q6/+Mf7yOCf23tACQKYIwxWoj2k1fygwwu+YnvSurNIq74XgVZ5hYpm5gEQxhlD70yWdDeFzdGsN7+eAONtkLOh/raYkgZr8AExyqABnUO8QQDnnLqGRYlVVfm+erz/P53dSD5n88N/PKjzHczzHc/wbH3+8h4TsKW6e0fsA8JmbAcScFsE5gOumGQCmslcRvKTT8Yiud9FVqjcnDeZ164CAPRchM6mXTd4dGKHFY+6YYBZ1V5pfZZ9CZsgzM0s6wwoAPJpur6OoSwUcMgOPh4jwOCfGNLxsNK/Iw0vgRiUwhLQrN7/DDJs1zMjMOpgZ/Xnfal6/7lQjmhFMLH70CrS6UjK1d6rx3MfA9ItJHhgsOBjI3XrD5jwW9sSEas4lTskGXJrvrUuZgUfbCaiOYXS5BgNxFSzFrMaglFLLPLfelnpYEyE9zBfou85+E63rPCdpQH3TOo4MJIvCFh8w50V2VVagnsEqvTwqhsj/XOSgpbL9Odd0gJZL8LEU1hDZ5+8HfSA6SME5Y2131eVpYk7RAmHPUIon0NhyZdBr3cRn1DlgAdu8/p7nGe+9Bra5Fj1+QENSXKpIvHcp9xoqU5eUuYpEr8YyDVyfm9LT8TlxjOP0VSG7RnFxP4wAeBpUv9ZDZEKiumKLmtj7qsCoRva98SPZYM0Kw5wTU6g2JSp4vXUcY0KQyn7sC4NrVBUd0wf2APJ5kCOeDT3BZoBVB0ElAqC25iEfHGBdWEFJamoLgHVN158xr9vGiifi+XeNWaXugkj25E/co0J9DYUjUL+k5KuA8SlytqhGWyxgj2uba0PA5wHiOVlKiub4OCdaSUf/CHgTlKpYzWUqHLL6xGdz62mKu9bWhEdCZR1ICUyA1EfPpAcyMYKqYCXt6zTDNEqrS3xH3tqfiiysrOW9nfeGXOYOmeCQy78fqyy/9/M5Ldzp2b83zTCzoe05nuM5nuM5avxhQKJNqmG4da2AVwA2M7qggZnvDDbmtdciXpu7RLYyrLB5bXYajbgf56RTevSqPEiIIgKaJnCP4zGqwow52X9x2VTu90FqSpeqXsARFQ+BNLAjWlaAnIdk4VewfnT5rwEI+c53c7zeJPoJlj+Ce9B3ZPXg9NbKlfgWbtNmhmNaeHgs2oiBAc3nTdHBRlDzib0vSc8MKDTSn6KCA45f3bCLoovitInTL0RxkNpjQR/JnhVHAMAMAjT8OKIJ/whAMt2xhdpPZncVUlWgrlZBwtY7mjiOd1ZrNKSg87yyV8MSdDirM1nNquZRRwXoRRPB50CE/HkzxxnSAD2+j5WPAGa2HLcZ5AsgXtncAq6X7G9PLVpfWWsHm/1nAJBpjjYFM2W6wOD9Hm72aS5JsMCgMcFzBqWLJPhjQJjrew6r64jwQhBZ789Kj1/WRn6nSwM01mnSKJsWIEg1ozGM852fGwGsaPRsxEE9SM7WvKEC6ry9ao25UQjBmZyQFM+ItStCIMf1w7XYQir8PEfQGCdE6Q10nhPiwG3vGGNS2CAb14XHN+es/p7pjnNQI5B+PLyeGmugvssMql7AJe8dVos5R10EelPolIdqa1MhNRKXxIejrm0B0JozzpUGABuRTEgAqIKHz09gmodVi9G9fJMyc39OhymrN6lQJkKfJ4vXZ88Q3POxGFUKLOPK2gAWuOrRqzKiIk1QKwUUEqhKzNsCrPHB8UVZsTYBRRCE9/F9zDpZcQBBubJJsQQRUuEkKi358ea8Bk2kZKEzucSKVAoQ8IRSKfByipe5fRw2eU5NU66eFfzsEXyO53iO53iONf54UztW7OqOkL+UFXg7qI36kGMSmCyXbAeqGTSf9AUZZMk4egQibVPM02BjoqdDcmyQqfoDC0WbyJBiMEOpkJBo5ee93nr8jEG0J/0mO1eB6neo3oLLqE3p888vJQRzx8cxcHsNMc746BbZQIntLo0gTzPswd9XRGVizvpuNk7zy1+C9nYMw1GGjtx8d9WgaPC1zLCvy+FwKLT2/NOtFLi05nVttueYYfqIFTyAgekRga/m/3CRfoVjF8U9zNMszs9smc85gOM8Czz1rVHF7AK4gOUlIRC87iwxZBNxcr2vlAqAAceXtsGAkEvlOb1og03D9zNofcas63kwo751reoGe4yEBpsR5E5HeXeYTcjGRikDM/4I5S5HqK0Ci1oGUjnGR/DeNcOcBJQM/LqE8VuuswB2EpH59VSvARKwwJNc7i2XdNYGFIoR1UJPkBoB4ZgMxsclY14gG4BIrm3UfSIBeDSN+x7+s5Dl5yDOEVXW7KVJE7nh6Jus18R5jGFoCLAFNsVLVKrEHWIh9hDPmKYa1CRH74I5J7bWcNs3/PbxwcdMU/jkLL+dB8aM+RXBdmuB51bDdK7r5eSO6t1Kienp7KG77R3HHGhCYeg0esxAXmRJYV/nheedAfBS5nKh6WZm8BNAJsWIsssSzegervVSFV3HoiNlosWAMtWc8c2COD4ljYqAa60wQVYuQgXOHw78hyj92jf0QLcz3peaZfJ4+6MH1FJ6y8+CAIc5WoA+ifvIZYlW9Lakj1P2PaV7zR0vG8Hpe8hep3eIJPCt9boehFdRjXXXrtO3VHZEVoUQFaEUZXncK57jOZ7jOZ7j7+RDkqZttVl48G2DvjUsNndfWXoBNzF10hi2rnSPNsd2awEIHrnmRaWJzS6bp5ezLzfwrbVV4m8C1V50kQlu3h/HwK1vETBaVCuSs8PPb6H4JdcNpKhAl+ihfp0wyqsadJ2TYxp6ZxNznpMkQAB56OSHG073yOgRkJxGBaIWgcWHGV46FbeYgXQEOwhNBT/f9qVABGbtt+YPgEpBSVEHqvcjGRhLQYqvbZBS6ILkSUeAk/QxXzKsDlKxmmoFS9UoHpnHM65lKvq6M5g7xwSaVN/NarTNtRNVBvXlFeDMmONCO8qjNE8Q6A/Nut8+DoLhTu5+C/OHlJRtkKK+nc2xt2WSB6PLw3SDNBrVAQSQt+ipmcMwDluxuPBgJPoPco35SjpzemT9e/ji5zPoUkKSXKdYr8VaurFUpa5HBqISQXQLUJTViSXqHO9NMHhBDynJahkAXuY46S48xTjnPO9PkbbEmnR/FMLItQTjfYvp5cmSaypPepyctG1rlCUW1HvLh8dZwW0hKbsa5/lJI7kzKjCjSta8AI7K5ItUoqV3wfv7yfUtLSoIfN51FZzDKgmBWBFmNBjcWsN0wLrhuI+qvhXgyym6rOHPV1WbYougm/ep4TwmetOiMOU7XDyATlzH1tAbimaainAiEo38QXEF78EtDE/hwB4qX8eMXrO41nuA9nE40gclv/+6NvNcHTSBvDX2BybAssHqg+ryg6r7QRcgq/6yWFwCYMS37b3VsbmHKEZU8ppm9d4xDUHr41x+P0bQufjMWscfzzg83oP5dwPq+UgVunj+xXEl6MreNhVSNUcoyT3HczzHczzHGn+8hwQZhMqizAC1Qd6j0TBHZjk9+jjPaNw9p1UlxKZDzfHaO97PUcaK2iMt7SvL9TAkA1tDax2AR5OiXBScvPwLFPS6SMnZFuo6rcmSls9NKJ2tL43vwKIa1Iszw2eLUJMNuEfQx8wdYlg+E/Ayq3NzYNIDYzZy5tPgEcAyb8wIN3bHolJE4FjqO4JSgiIVgse3RwNuysxGuq/6JBrSMA1AUMRgBABQ0iIaGExIU7ithu3MJs+gtI0MUCNo3aqfKObQHS/7Ded5Frc8EWitnXWIEDDLfY/oXcvcjb4JFVAigvL4jku8RAAVWeLK5zubhFWAX4+lZjSlLAb53wjyGHgCPsKx+nL9Ewi0BDHOL3JfmX1tdI4vpa9EqIFg8l6azmoKM9+k7lGu9wKMkVOWQLGW3qKVhVoY6X5SakgAFo0xTuFqhJnz3pWBeYLDB28QJDiJeUmZ1WuE/HDLXnpPpgcrZykSJZj3yzXzWFwegEjbOk9S+ZZca4NcFAB5vHuAl9Yc92PCDv5em1YTeZnqJRBXRYfgpXe87B1NFf/9fVSwaUD5GkkE7hl8V3YfQINSytguwB8Ebx0E7WhrgnIZCLIK7UAIcdCnY1X7xlhCGJmUMaQkc6j0hYDGBJ+PSa2dMHRZ3hsac6d7D1WtMIp0CzDUcB6sJGVl8nOgvtYCCnC4kWYGf7wfPW7ATBgxEeIPSQ/FqpQ6UBW5/DobPJYe3lWQtX6qGnVZowkQ0lCxKaWbJaoZddyxnpfI+QVbx6UyW0pn4gRo2vmsPcZ8vHfkKif/HM/xHM/xHNfxhwHJekAvecatU3/3/TgfM2YFCiLYAIpe0DWMDyNzlY/s3lZGaUZWNJtLM/uUlJQu3KyPMfFx0KldGoNnrY2TvO6k45yIRvwASC0CdSAbXqOyExKb2a+QzcaCS0Y+zzWzzhHUZWCWZmyZuUM0ObcIxuiXYWhbwzkG3s7Bhnihg3uqaAHZhEkDujENY1w2affLsaGOpckCWk2YbT/mhBmg6mjayPXuK0vooGnhhxtak/JDkGmhYCM44lr2i4cMhA3uEuZlXQVnBPZdFYcbxKK6IYL7PAt27Xv4fYABgibwwMp8Z59Ca+Eqnn4eHgEVAriYh5+DYrrh7Zwre11rESXI0LCC8+lUSOuSjbdBl4oAJXsyOqJxXxCmnvowf/X37KFIcGCsRHiojyX6EoQSWWaiRdA6f+NO7rxigZ1sLM4qhRZFMu/NvAf5+SmPWrGao2hSczjMqX7UZBnc9aYVhI/TqkrixorSmA6bVl+rFxGAPP86onWq69iigta6VsCOy/pNsJ73Wg+FLwfB5Xkw2E9qksbPPfk3Dtx6xxGy2Ak6NJzHm7KBvhzD3bFtDT+/7vjptvGZ5Gwn2/Ylx625ThN8GcrcMs8jfYQKLF7u0wR4nnMk6QHD43YQtA4PupQZvGso4fFzbi9bgdRhNCmcxuvB9QBI42zluV2TGseY2MJ/JJ/JTQXDZnkDqVCRsLXs/UrVQMCDriWIapQj/FEeRyaFHNHjlmvvAr7zdZVvqomJxfKJ7uS+FO/q/X7p+yjwbAsAx/NqOiumLnx2eZN1dST+c3mWXisleRQSJ2TmYQzL999D0ARCSuFVqvgqNf4cz/Ecz/EcHH8ckJgzigMAYSbRweycRiCXmb7WV2PwDE3VVLXahE1/5zS8B5jIzePK62ghAXqlojDIX7zh3C1qAwbL9LlJZaaKgTM3bo3Kg0LgGtbyEeBdZUIRak1L8egSLEWAmWne3N7y8Lfe0PvqLKYSELOpbEw1mBuGeWVAu9GA7ra1oB7xO/dGXvsxrNyJEeeXwdMR1Yle1J1FKTCE+oww2zknGPQGyMtNWzwavLH8VwCCGXFStbooJOhzd5vVVwRg+ZK4I2JqnOlJIlKApNpEh5epWga0JkDf+Pnm4ZXRox9HCQDpbSORnaY6VAsqigp//naelZllZYWv6UFXmROQTSpQzF4QUUCc4OY+jGguqCyOcHQPILSaZiPjO5ePjM+gAca6y3uhKgGyQK7EwsnA/SEO8+hfsImkCrmzQpCfm83QVR3xlT3O63Ifs/j8Kbu8darDqSzloRlreyB8fxQQW/fFccwVNCYAbvLYxI4fs8uff/fw8+tbZVVces91YKWA90DRi/M0eDTmR7AYIOV17/h2P2HDqVYHx/s5VgVNWGUbk5WsTbVoPO/jxF/vB585KuwfioA1AYhGgJzzZxZGsO4P/hr1NIpEjspKMKi2uP94DXtT9vtMgmkzgqVv94NmlUlZm8DHwerN1pS9I533QIIHvQTagnCC760qYw4q12kc1/Rl/ike1WtlD4ulD0wAxa2TwtZE4HEvVg/YBWDMudzZNaiSpXwcY0bVQwRwVbzc6LP0ec1YVIGaLqU9IOhUsf6vIiYaJp0FLDxU4QTYhFLjeU1z3/Iq/6xjbHG/eMxJ6+zlMzBh4LlXdc7jiP3gWlB/jud4jud4jjX+eA+JSFUJDFQJahC8dDYcm1soYklkrA0eCjYV7AD4sIGHnSsymFltyJ0ggUSL7Dl/FxnWCPy6angbyMMmd1X/cXNsHk3lTdF7Q/co4piVRG5m6DL7pxCoh9HghZohSpCwhYfHFkHMMUYpQH15adDwJumt4af9Baagy/ucOAbnwCLTa87vUGlFz2i91UY9jGZhGdjCGQjuERicc0bQyWy3RuWA8whYUBw0qGpZVQBQlQ4BaR1JZZnT6ZQNFgh6V9wzOw7U52R/QgLEBjagpnfFw7XIC444pkvcMQPYTrWqmkAfMOoDLamkQJPBJsD7GPgYo86nNy0AmtWkFgo8U6nGdgu1sPfzRNdWx3jbWiVtR2RdW5xnU/3RaVoWKOVxBhqURTe6RuL1t8u63ZRO9qUuJoAHV8bhobR2peVFszHkMk8ri1y9MFHFIG2Q86oi2KSx6hZ9RBIZ5hRfA1DqSJ+Pu0fCwJ1UN/YP2UoU5LXCj8Od9KPHX2ZWfMl6Z57Ccz6vUxbHinGhdLnjZdvw67ePyliLpoP3oj11VbxulAZOfaVv9xMuCHoj7zdSBFvcRMYeBgF9SQLYGACNfpYR1Lap2UcBiDCwN8RzKwCcm2OKYdsaXnf2uB1xD28hu62q1QRuYFB+RgWxqUKVwgIdATbjOcx7+nF6cy6Hs8qa87n1VTHpup6jCzgTaGVfFnDpO4umMAHd4LN/rLVHPx2blNXOniYPQHStqnmUUYoaJXnPolzeW/hg5R0BrD6iPAcWIBNYJDIGsmTsCCCJNMPFRaZ+0bWYZNPwe4pvjKyBinAtaHj3GCvpmaBxECB/Ft14jud4jud4jr8DINlbgwtwa70ySikbm/4fL7fOjP2YeDvGYyoso6RLgFYBnf9OZt4BurwbjP5ozMYGIJlHZIjbI8WDtLAWQS3wqqQ9vM9Zje59azhHSMCKYAZ/OtWvADxsqA3cbKUJWmt43TZsXfEFW3Gqhxl8DAgE9zHQXKOKsePb+x0/f33Fz//4M/67/+F/rPPrwv6bM/ocphhlLSuoZQCRgUAUobBvbJzNqlTSV8x53L2txlVR4L1kLjN4kzpHUrm8QIzEhp88b56bl9fMrTMAet07TjDweRszjOJYDXs7J3BObDvnoLtAgrphuQyusUIGAJ20LIkSWI+GcIapEpltNulm/OrCrKQayrdgLaIIZGV5iNw2ysL+5eMOUcGfto7jpEx0jybcdxsQF3wJCsafoyn+l+gtsLjeH4OVC23MTueilp6u6LGuI6Bc2eM8+aWslOingxLNazzmWR2cn5TgnpdKUWbgW/T6tK0RMGIZ9KXjeYoxWFB+RFu4uiPkhyP4NhSNLYPUHmuohexxcwbwPY7BfB3XD6Dkmt7OaYhjo2wqwUPEh+tSXkAOwOuevUvaeS40vhxwd+y90/vDHe9z4v1OZ244sG2hSKcUOshKy9s5aLoYUaq5Y7aJY1J2eLspxB4b0dm/wID79XWjuaKvjh8Cyx8j0960qkCkRfEeft02mDu+3Q+cY+J163jZNljQY1UEH/eTfjop4GGGFhLGSdM73bgm4kY7z7m8dQRVcZ7hN1SGs/H8mPG5ttA0EGsvZdg1KgWYa13AwesR7xiDHko0s7xMhX8qjiWi8JDn1RThWPd0yUErfgTh8XbL4/RQS4t7BoK6B2cgSfHoFcS6XgopKptiCW6UkWcA0Q0CDyEMwRJ4kTi2a5/TczzHczzHc6zxxylbyN6DcGGHQ4ZXiZpl/Iw2I4i5cHr8skNncHht1M2MMKJng82j0ewsgm3rmGMicrxIpRSP7L+PUJIx0n66kM6QwSON37hJ/HY/sCurGGmUuDXF3ltUIha4YZVDYT7rmL8fJ36SDVtQOd7HwHkJ+ud0nIP9MO/3E+7A948PbL/9lXzj2DD3qIJoqPbcx4SdRnfojRu/muA+J7AregRJr1uv7CXi2Ll5M9e3q2KAgPE673AEj9txDlavqonUnRssFr2h3Nij2vNlJ+XjSwQkYzoz0Bp9MU7xggxgWzQsCPi9pdAUAZFnYARAo9KUoHRlPAXXVgn3aL61x3/PUjKSomjkp2XA93Pv6Cq4qeLX4wCc2de9KV56w2GOb+dgQDmsrs+cDLiPpnjdOS8fwbnvuFRHPBrjJSiBYC/CNZAGVgWPWewUi8iqiIAVxxWRX+sq8es6xwz6Z3psO6BOoHDYRNOGPf02wjF7DKvej/xsC/lbX1+15vOyhLZo0GeQZtWTpQhzQBU0AGYpCf4JlPxu1jgU8yIIdXZkLxfvrOBg+VPk53oCKAPenWaJV7WmaQ7tBCvHYPB9moFQMgNfLxA+puG1d5gY7pNV33mErPBcanQ5ymVdrHyMsl+kAJlfZGCFdL5hhnEQYBydlZGv+8a+q5K8RvRGLdf1EdStc8xqct96472vgtsLjWSzd+njPB96NzKBA2T1a6271pT9b8prfJ6k+rVQLMOFmldeOQJs0Q+Ula28XgB/l31tc2Rf1+M9XqvAHe/3gX1v1dfkAVI+r5v8UakbAuvex6LBZWVfAHg2ssdzT8F5unUqgQFMEuU9n2XmqtZn+ROsBG8m6LcN5ob3+xFaBVo9K7/LWXyO53iO5/g3Pv64ylY0Fk94ZN/jx0GdAiJQjNEiiK8fZSRa4zFFFr2d69+Rve3KwPU8ByQ+99YbXvYNxzCcc0KdfQKbdJhNZA9Kfs8wvwSqAgyHbKCR2tZolhiBSgZiSX3JwD/Nt8wdUMVvHwe+3jacoWKjktUbPGSj4SlFa1DtaLYy+5lJfdhUwyNgi+zzHsHI9/PEjE32NMNNFQ3MzAuAj+gvyV4DmOCYVLxh9QJBN0EEGnGOD0hxXaMEJQCBznahZX0Mq03cIoMpYE+CdMG+t7p2yaU+o+KS87vA53VkiBKyoVg89KSnpQF2BevXcpuGOEI0LGc1jJ4ii8qSPU/XZm/AqSYWwYqZ4ftxVhAsIvjrMXAH8BqN3xLBqAAV3GdPCk/UV6Zf13LPqhozvhlVA/e4rzyisGvQne+7BmaC688DFCkrRUnR2rfGxueYqzFmHC8z2m7OSE1ojJfoIcUcpi1gl/OdlR94VBGGPfR8pbpYHmQd8t9MGAfFE4rW1rVRAMcZdLmtxRzz01QJrKgAFoDaw+dCpTLaGs+BHskJn8a+pLgvN1WcTnDpw6BK8PL9brxHj0cKWwX2CiTTMxx7HpWVEijPRR+81k08ruU5Df/8l3e83jp+eb3BxXHrHV0HznPgN/vArfeidd2Pgd/e7qyWaHyIO9qmda4ZxUtTbM6KYOtLMtlVohE+gFisuRkNHuVDFPdW0utqjV9uubzGZXIYACKrbEnBOm3NS1VWLnNVmMMd99Q1v3xJ9vPUyCrUQ8klq6fsD1qIJql1su6pvF4AfBil10XKF0iQc8VP7/lczK+M58j9OACwulfP9Mv/nuM5nuM5nuNx/KsByf1+x/1+r3//9a9/BRDmfpcG0yyZJ1d6qQBdm8PlYRN+GCJFQVr/4WYipTzDpm+qQ7IH4h+/vDAAn5Pyup4mWIoWSkakTwE/7RvuY2K4VQ+Lxo5y1sYTUsGRTWuhBzklnN81wYnAQ9Z2OgOwt3MwkHJmApszENKozhyTUZUbFcm+bBveHPA4ntz8HhysA9DkBj3cMKYzcxfTdD8nft41+kVQ/Tdpoj3dSalyX5SvACOZDV6bJa9RU+AWlRVHViFWplN0cd8PJ0XvbtzIuyqrOJpmfBHsRmCQ/P05jHPx0pEu2KXpzxmogNNjQswYKJ0ZvF+qcBWoA6GUdgnSlb1AW1N8nKTRHDKxhav3BGgmF9eWDvULJPfecAuaogNQs6KH/TYmLIJwbeHzkUGmk0/e947jHKEMZpBNH4JVfq+v6375S2kA+QWiZRBovhBN3lWf5iR7roYbxv1Ab60qd+6h2gVWFdJzYwY4rSsgKMB2zWST4rPmONfsOajORosXr99rfMC8BKTrwNefVIADYOxXGtNxP2cFu450il+fcY2BIdHrklRDRylFfYtMf4HgCzjOCimEVSIfjvc+IpgOP6G8gfL+uZx3GgbyHBJwxyCDsfqW1rGiKKk++J77OfCfx8RPLztV7ILG6eYQzKoevX8c6E3Z41TL4HJf1LRG31CKRMT8m4UnTiQkWteQC2c/isW1yufadc0CC3j8EGpLglXeQ1e/I5Scdo4Lyv68wICqiucyf/BUkgUqsgSVUtL5fXwU+OW+yV1qyffmM9DBKv8wVkrXqUZiB2sNj8taURHuK1hVfOCR6vu3AfhzPMdzPMe/3fGvBiT/8T/+R/yH//Affvj5sJBovGwSAj78KZPqmaSuIQok2V0uv1gZ3wwyAYCbYm/MN97PUIWKjbRtzPBl4/J0R4diC4lPEVLJDOQIuxu+HSe9MfCYcGPTYSobkaaxdQb4TUhH8sHvJhCLZsyNwYkbA8OJJfU7jeozdk7cx4CqUmpUVvyYAVbJaZ72sBdngLVvvebpnF5N1UmhmWa4R6Cyg5k9nwzcK+nfudnS7I3BZxqUKUs2VRC5qeLrRspSNpAC2SjM66uq4SFjbGgWwZdO6ti7seFem6IpaV0DfG0LlaJjGlQb5kipT6+elWxolYrU1vVqKkA0xCZwvI5yvhaa3qmzkjeyDwFYTdERYA2jWEKuDBXBP70fFGXYNKpdhvfTq3k+s/BmDA6hpNwplppPBkHmjuN+AmA2+ZzObwt/kmowSfAVfTPp5s37ZfmaSAKdAvBrDvLfD/GdXla7CIZPNCgujBPOnTkgVEES4BJ8o8QNHr8oziUXrV2Pgwpucy6pXVYlvK7vA4hcp49MBiCulZljnLM+O5vyt61FVcRKtal3xcdxMaALUOUWADPuT5VQy7oExzMAtijXrrmXKtlta0vwIQBrVg7gWP5Flym64EQGw00KoKst+h6fm4KXreHdBwaWiMFfvkdDfm/V43HOCRxcb19ed1bw4pmUzzdkRTMiZofjpQWo7sBvx8H7uPM51FI++DTSuGTR4ejRpFDlcyPVBjPCr0v36cFVa3/MPKSHCcprP4P69QlD1T4gQCl5HWM9vytZcX0EPIALlOBDPts8wE/dV2AVU9vqn8ljP41Kgi3ogSlisZI2q0/vDMEWxLNRFCX4kRXgJx55jud4juf4cYj/K+vHv1ch+ff//t/j//Rf/R+YWdV8yPPB2zUaHCNDKU55zc9P4xnVgKuZXb4kKTTJaW4SdIwsezuD6NaZkW4ieFE217/ZAIwcdAjVv/ampM74o2ILYmO1YWwMFlClyWnO2JviHj0eaSRI478ADrlpZ4YVKMAhAajSRK73BleepQC4bT0yn140sPNM5ax0gebn3KLRVgC4Ko4xwoV4NVkqgJfo6VE4Ps6J91Di2rtiF8Fvx6ggIWODlPZMHvlPPebNDPP62gwclfNNHrlhg6ALsG8bTAS/HQeGsVqw9w339wMjzdcicK9M53Q2CyOkUWP8raXpWMo6Dq81gVpBj++l+RkBRUra7iFgYHC8bHSUP8xKUehriB785/c7ZqhAd9CLARH0aqzLGU3SGcDetEEdOGAPQdKIIKo1SgCbeznN57qBrKqOR2VGEXMWF+vaI8LFcak4FqiPSob74tLgkhmOH6WL9TmySTjWpsgSi3BG2o5HgPM4x5fKxENguA4h1bfKz2Sy12RTwT2oQriCr3ivxHqr74/P1ya47RRbvh+sXrSmsEkhDQgliVOGN/sUSmkOXmaoRUWMxEBVNWIe6cPC3+1bw9vHua6Z81iymR+IALhJNcFDBXZynWrnvdPjxUdU2QSkAL22jsMmjni+DKu8PnubutZkNyH9Lq9cAkYH+4fkQdKJ8/fzvmNTNqi/j4EzhAbmoFGqOwrc5Bxk0kM0lPbiMuR9l6aQqvFki/uihyTxnIbjmJcKBh5GVfrwCOb4u/XLrSu2ziQIe9XSlypw8CWRBSRtj29vsr44VQJLdhukMmYlu0lIXocnTx7TS2/RB7Y+J3tD0u8k17Douh+SsjudVMb/1//j/4O//OUv+OWXX/Acz/Ecz/Ec/wsqJLfbDbfb7Yefp4dBZbJj5N+yuTMbWbUkEzPDy4ZxCboTEM3myhdcObfuzAZ+nKOCMDNq/7vxdyn520XgyiBQu+DWO14a+wa+nydo/nZRQPKskqCUWDxAUDZiD58rsxsSqXV83JGq+pAbnYGgyNxqA8wdMjfS5FX3DIQc4WeSxmsM2kdI4AKUHhYw0BtBkQIorTvMgEla1D9uG76GmSEgeJ8MCuY1gI0+Bo/NuKvgpSt+PQYlZVtGZr6oMebwcJZu0bwOCO4GiDpu+475/o55TrzdZ/UXTSPNrEPr+z7GxAwwuDjhfxsnh2BvVUBaU9iwChKu7/UIDgxeDe/mHtlzrsPTqGSWr88g/wArcypUoHIQcGSlwesaSPiC8ANsy3XvD1SipAoBgPTlj3COyc/MeNY+nX3cTJelw0uARevLzHTNQJyH1ALKz1gp2gzChpUne32Hmdc12Tb6YpzDsTUGhA72Bo2g3ck6zEWDAu/LOm4JSViQBmWTYPp16zjtrOC2KHgJyuL9n/GpmbM/SS4SxBEYV5DaHI5Z/QEEW1pToi3kvCN7PoJSlJ+Vfx0zSxmsiMBRGfM810xUXDP8WQ22SfCbFkdMACwg58I5Ocz4zGpMvmy9QUNhOOfyGIbb3iHCHrRz8PNe9q2eEQLgmCErHGfOo3V8jIGPOL4ZFVRVSlpjcE19HKOSHElh2qNaJHGRf1AVs3imBqhbrSvZzL3W4eOavMzXuoyXv/OFKoKXveNl6/h2PwAQ4H0GMFkzCT2GRQH+nWdK0rno6+TVm5fH5ZPJtey3+xgTt9aWuhaWelwZrl4rnbE3aoCRz+f7HM/xHM/xHBx/uKk9S+GZWarsXNCa8uEOEewND6orXcNJu7WqUrh7eVMIVrZPwCzbdARl4WK4dQmk73NWJnXM4EIr5Ra/32cFpyLB/wcDww5B7x3vg9UDFcGXjb0mJsCXreMcHsAlUl6V/aV7u12yu9wElwGjiuB223Afg1nhTs+K+32QS65UadKoqFxlKVHnKUF9oPlZNqsKlhElQNWz4eGlAgZJI9SfLCgHmQHWABX8vrVZ/noGGAFqUz+jTyEzpnMYdqZEMUJO1GzgfoxS7cprt/eG4Y4ZzdMpLzuM1yjB3xXSVmLU8fD3ekWtrU/B+jXuiN+pSCmZ5SjRgATNRtPFfeuQkDhFAJlamwjlqcoaY8mm5nkZM9OZGcf1+HNtZBZVsneDwatH0Gtn+M5sWj0BFaDFd229xfFTti57Va7nnvP0CNVWpaFvDdIEPaoEGVyJU4pZm2DbtMDOGFY0qbo2l3XTAgB5zFM60Tt4/z44rguzy389zsvFysxAzN2n6k6e3nUuKingrArc9sZrGddDbTUl51rNz7BJh+281UrpzLIBeX03A/QwCdTHi5Iyu5LVs8t8dFHcLftVAsSLVCIiQRcEZfBnHiaQEsBXALQ4BkM9N2g2S+PX9/uJ29YpKBKV4Y/zvBQNvEDWkva1MKlVPus8EhrhpQEBXATjJFBKeOPmD/1ZjlBpEyGAsjVvNhM0xPW9joWPH4DFQ8weD6bXveP//L//X+Ovb3e03xT//O3tIQl2fWNSNnPK6/vj+a25mAJYblWZzURHUC5lVdIQ6+wMVToCQq//wTNBB0A09qF4xvzOffkcz/Ecz/Eca/x9jBEFxUU3X5n8DKRapEW1dTgcb/eD2aIDFdQ/fiZqE1q9JBzsydAlFYukUwi+T1ZOWm3A/KwxLdRj+O+tKTahGlRyhTdls/nXbcO348SJiREO1P/wekNvio/o7C7udAwHg+oG8tSLueEo3vRPLztet44/T8NULynNOR3blpSvVOByIEwYJ9h8nllcEcFr0/Lc2CIofgsg1iCURQY/658/KGObrtn/+OWGr7cNf/m4VzAxbYHJJhQJYP8NQV4TNvt7NBgnwHCJgCoCzXlVTxPSSTYRNtGbRzDLyEuh+Jg0nVMVbHuPXgm+/aIMDSlZTv49g4PsH0mZYq6dx8WUMbpEBnhmczOw+l4S2PUAZ9Pw2ziYXXagtwUScy2TTy+8ftFsXSo6CVSmwydfd02LZhBNMMOAaEwKLuTvpZzgHWII9SWp74Y7rMD14ssDqCz9jB6UAkQJ2OI4srIDoe8GnHMyR15fKnNNo5rZa1N8+3bH/Zi4HyGDnSg2AFoB1uD0JPDl35lkyLfx+kg0dwN2VN3u8UA/Dan/JEVJHqhXc3qZ7Img/DPqWcIHVaimzVBfW5Qt2PKvkMuXJYhege0CQwkw4VTA2zcCcBUJql722FB4dg7BrhqVyqCmYvVRZF/RvEp5IUE4QdM0g1gogylBzMdxlhIWPXRaSY8HzkCPyo5HYseBMpLN+6oa9ON/NW0TpTCV9M4E03Cu400IhsYwtEjc5PPncukeDAI5zQUbHqovfDEB5nkO/OnLDfdz4J9+S6XCkEB2h0Ui4NE/agkHeFzH2l/guJUJZCSyIlF1jBANUNKvUjWNQMWBqPJaUN6qGimkBVp9B2qTS7nh53iO53iO53gcfxyQ4FHa0R3YtVWwkq62dH1ObjJqQ5fLZnfdgxwILdbrlwlEgjqjwJyXrLihNrSMO/at1UbLCooWV3sC8XNuwG+DXgVba4AfsdlGo/ic+H6epaZSVR9wE8oNmm3iXvxkNxqxfdk3iAj+8n5nsATH/T4qO27uOA8LSlv0zERlI5tMzRfNqqtgD7qZO/tE8rxvIbN6jpWRFYlARpkddid1jjGjl+uwgsFUSsFuqmhJV4jMcVOClK5Z/eEcmKAqCeKCl97wc2fPzj/fj+ivkDjHR4M8AMtp2VCBW9FDMo2aQS/SY8QruP8vrtFcnpENFbk20Ma6qNoBm3tf9oZWWU5+RpdL4y547aK4h9ZIYZrD8NrZ+LwAJtC2eFcEVu6OMxqHVSRoWvz0AhYZ4ESmNXvAGQQBGGn+t9Zcnu8KJj0CylUlSQDTVat3yTQrl1JVguHh4eKsbpyXXp1Hh3SCafbfeCTCo4pg1wrA5Tpeur/tChbyuGXhkeucX4GVCn0x0gPp4+Os+2XGnOzRQN+awi8u8H75sPX3uK5R4UjBjkw+TMu5i3UPJjduTbH1hrc56r7ZWoOYrcpMnQOvh8HgorH2CPYpnc4PViOVrECdrwA+A1xPWt3WIqtP2uxx0nz29bYHUEtlKy7kBO8zrjMBrESP1SjFKaoCSgiJ8AS0BU1VrudUpwUg6G2IinaYI5bCWr687uf4HF2N4nVNPt3W78eJ//Z//Bf88rrjn7594JwTrSk2bdh7x5w0gEwANC2qxm31H6U8dR5zE6l7w/Le8rgThVTATZaK129vJ8wJ0OFrPyjwGs/R7B10oRDGQrh4jud4jud4jt8Zf9yHRFamsDLcAUQykD3PWaZeS/IRC5QAmIO9CtcgFYLlCSEoOtc0w2KBA2d4EmTG7rZ1aNe10YQalSuqsiCxA52RBUtZ31/fP0JVR4MxomzGxwrCcrPySD0z2xiHmZlTYybtp9dtGR1+zpKDhnJjWDXtQ5N6Q1Dic/UplHQmHNLa4oc3gY8IaprjRbMywQ13TDbNNoRRWUSrDsEvW4c5cDqz4el5cWstqkKzAgwBwliy0aXdHV8ajQ/fbDUluxDwTdDE8dZy8yY4TBUnEQnpZqoH2TQcYBCskKouJYWGDcXc7l3yIkaw/V8AJZk9B6Kx1XMdMOgzt3Ba51y/3FplUTPrrSrhHcEVWzK2GWSDlRRxxbY1uAFHN/Rct7hWfRbvXSIglzyPvDWc67l1LW+G/LrMkpNa1QCsANIKfARd6hIEaWSLr1Q6VuYs+jm0RCLu56iAXl1wHBPng4/IyiA8SjKv6zGHV6BZtKN6IQ/gQdo67yv19WFXBCHrfb0ptr3V9bnfGShuKV4w5nI8j0pQ1K4CHOXHPX5+b4qtKZW4IrlQ5ws+S1JO++dbD7olAdENnX4uoTw33erey+dF3scidE1/7RsABvETYCY+KkZw/OBEn3NnAa4NrOj1nY/yEUH4dKebOTJBIyV+kROeKohzsjcoG9kV7BtqSpnhvA9yTWZSp+44ycWEUhn0y/W7Vrl/Nx6Pa+gFvtcrRS7g14Ff3+749W2Jq5g5XKnglb0ulASPtakp6Zv3Dc89l9PWUrkwnO0ljGdBkJ7VF4FUf5E7kxYiBKQ9vUp8fU/e7ynakn1hy9/pOZ7jOZ7jOa7jDwOSafRNKO8MMJM0Qu3l2/1YQRZWotQ+PZe1y/JSiJGbmmX2OLOn/KIaNq0yd3Byr6cA7lZ+FS2ldsEMJhwwMYz4vuRUiwhetr5K/rCLAlJ6MfA9LSsI0a9RgR9Qpn0EI2yGnE76TvaWZAZcwUxvEwYY6Q7s4fanYXKYwaU5A4/eNBo312eZAFOAn7rir2ly1hj4a8zfz63Vpv8S2eXfzkneuiqrH2A1hVlvgi5eO3LN+V3U6k+Rgory4phON9xPw/ucBQSTZuWwep8bMMYM+shCtVl5600hG4p6BaRiTsqbrmbxH9Kqn36UVZ2M8D6OSaniG+c4fR3ydHLJpZ9IreWoKl1cJKCi0A24D14bUoWs3M7Thd6TUuSOrKplpjWDJQiqUsYlJ/XzdqGcJFgFsm8r10pWEh9lg5Hn6LgATamK3rSgAzkgSW8TCjLcthCUqDlY01v39fRav/BYw1jfX4IASbEL0NS6AE5wfgX4NS5BOeNXD6C4zgNAgSZRHu9xGn65dbwfY1UbzX9cJoKqADqy1y3nalUZWbVj9vtjGHQ63Ce2Hh4gSprVaRZS4FFZFCn61NYVvTfc7wOHEvAf56T61kUxKoURai3G800l5M6xrlH5piCDbSpyuQelSTSePcCXTr+fYY6344A3lAP5rr2qtAS1S0lPG4U9cu0Fc7IqNlkhsM8Pdywg8hCPx8IRJODxRZ3L9fWAfH4cUv+JxFYcR++KTRN5Xiqped8GsMjqlwqTIuVxE2th0bSW8EMdjiNMeA0vvTG5YV4V87p341zyGW5XYP8cz/Ecz/EcAP4OgMTMYNnB6WwqzSxpypUuk7Esna/c5PXhDlkmVuuHWFFhBOcars0ASuXHqys7gk5wa2aT4TIP9OkYMOzaYHF8mb0UTXf5zGSu7Fx5hMTn5IaVzfVLQpLc6U0VP912AMDbceA+J156x9244XVpK/MnHs2vQmO+mNd5GvZbW3zuDDmmwUAZUohgeIgLKAPLzNTdVHAYKQMG/jtd4H/qrHJMETQAuwqsMVCKXDA8qjTTHK9bw5zGpnwFKTkOfLOBLYBRZvt7VxxuuB+zgrikMcBX70VeHzhwnL4yrRL+EC+t5l6Q4DeDwusSyUDjU8ATiyyDnMA3sHSmA9dUSpm1qDAUEEkM7EuYoJzsOfVQAY7DKvueYJs9JxH0xMLsATI8gYetY8sG2GujfoIUygNfKFlBmctqHLDEIpqGUamwhyduRs6ZoNZ1BoGlDHSpciSFqjXhdb7cuwKpnp4qH8g6hqoGxJdcqzLm7IfpG9dL9nvkdWuq617M+3V9fF0yyrJqLZeuCumZtWbVK2lcwwy/vh/oXXHbOoZNvH+MqjZp05p3NuRnBSNBVIJtHkzOqWW5K85xOpudj2mkY5357HIgDAv3Jtgy4AfgveEjKse9B23QHWdy8/BjAM9g+jI3USmckZThXKMUr5ISa25oznv7t4+jqE0aIgP3QQ+SBB+I654UsjT7dOfvM+if4cu01k+u4fWcz7Mp8JDnFNdd5NI7l+d0efZfpXnl8nn5p/ulChLXqzepvzdtAT6spM3fzwEB8BF/9vAoGuZlhJhfkN+VppCfz8kceD8ndLJPjbLAPLA857xXjTc1nuM5nuM5nuNx/F2a2q9+FrlBJGO9hQyvA+H4DOaEL6mtVQlZ3OGKyy4BiouUKpTn5nzJrF1HggUHA7jmSyEIyECMVYwzjs+FNIcxjQZokenrl0pIbqAEIczkTqdkLxC9FAB++fICBdWvPsYsLnpmWLNnofjdTTCEgIINkYvzX87OGrKbvRUo6wDQW046efVOmkrriuM+4CEy0DbFHBMzpI/ewuegxWSbAPcxICo4Zqhhgfz4rTfcVPD9GGhxdb9sDeYarsTpjeG1iReIcsd00tMkmsJdQt3HuGqMkXvMCf0L3AluKmCVi+8HUHNIzf9cfT/St5idXFQQEXLjaYZIoPP9Y6C3FYBK2DAXRorMr4PVHMdFrEEjKBaJKkVwzhPrVCVlrUuhYxrBa8gyz6DndSX9wwO0tEZFM/NVwYGv7G72fPRYH2y9WkmCHJmhFfwozIAATioS19dXQsEJHh0gQI6g7jwnroBdq4dkgXmJBmoqLWUigtl1DWGHhwOMoLJ6UR4Onuf/uveScp0hlmDTl/pVgND7MWhw2DR4/l6u9I6liHRVzfJYX+mZsr4+qyTsJWGQzjUxjM82Cjw4pK9rBLD6MJqha+MnOSucd5t1PfI7amVffo4EuHmfJmCrhM8C6xJeKXCnkIegnp8f51j3ZDxrck67hhqhLRnnz/eRRTWGFSLBeSwRi7i1kNUjVoz9Yf3VX2ujiM+9fE9Wv7KnzT/9/vGIIlkQXkm9pWQv10IqD1LiHeFBJOuZC5AWqYr3++DxC+l+R0g7f05w/PD9n+bn/T7Qm+J1owQ9iaqci6xEPgHJczzHczzHj+MPA5LznNyAIwjipm8PD+qkZ2RC9aJhc2VoPWxYfn1vvCbVkDLje6UGZEYqX5yZ5q6K123Dbx+Ld5wZyszMZQI0eDRheuiVeWtbqEzBK2hYXimoDdrjM90dY05K3UYGVBoD9yuHGxK9Mwp4eJ1lo4EiMq9B98kM6t70h01aIoDfkdljfschjm3TMFokz1pF8H1ysz3M0cRxilOCOTLWq4AQ2XA3HKfjy9brPLcm+LJvOMwIZM5Rcrh5vVIpSoRB9hlZ3DIo8wAVsq5LBqHToxl6Gjq0zO1SJatH78qDJ0iB2HAGjypCZe7Xoa1qShyDARjzkoX/W1nqXIARovt0mAkFB/I7VDBlZVN7SJNlQHdN9WazcfawmNHwbQW0jv7SYbIqFQIujvM+F2huChUvcJ5eLhkolqjpBbgeJRUdoO1Sucx5mm5FrxRB+fPka3Jq0mPFbWXVJUCW6npdz34eiWCwaQWF5SkR/1kVRNQ6EgmJ8RAiSBGqLT7nPifEBbd9gwjwunX8w+uO//TbO759P1ZyXi7N9ECqXKBr0tdQRoh5v61nzCVTXw+qeFbp5WeXCZru+Djp7TFEeN9kdcyvH3iJ1wUX5/q8FzPI5701hwVgiesSzw/pClSjeJgZBqDqrfH5GVXK7NPTSKh4VlziJjmHrWcbmBjYNsVNaC4KB+4homHmIV4hS6jhvxTFfx6+qnk1D7ku/sbrk2ZYPV1gIsh9gbesFOWXL+n4lWgoEHat/H3+4k/HLj/8g70m38wpjNEIq2YkQvYmqKzVczzHczzHc9T4w4DE3WGDwfuoh/XnHYdby5Vvnz++JOxW/rRi9hUEqC6n5OTAuyWfGYAx47pFRp1ZXn7j+3EWDcAio5p52XJsBzfCrARMp4TuEXK6Ipkvj2MTwX0s9/cMRj2VeCIYex8DclGmSWNFvjYCIo8MuJHHnOeeU2lmGAL8tG/42htOd7zNiRFZ6jkdr7eoPsQmPNxxz2C1U/UsHZ9V6LsiLWRjfTXaijomgBuYpT9HNHqGG3TfGHH1aII9gitPF+YIFJ1VAkMEVUn9iYBFGqWFVVg5ARZVaUFVhH/M6gvwuF4uqKbjuioRrKbvxZIBRlU3ylckP+0BNYNUtIu7MjKLWuszKVle/RaZcZZQK0KsgbFC38iq8xxSuSkDzxaGklX1yeZXWQpdYxiky1IIi6zwCqgjUz9JuxGgKnHZpGxInxzeGymVXL4Jl8lPJbYE4Kq8hud9oiuPWZvgp33Dtw9KeKek87972bGL4D9/HLDICl9j6PR0KPpLgEwIgblCeD+Y1f22MvXZF+Fx78R9G31s6QcjQEkVdwVeG/uzCuRd4sHCPLL6krJqAlyC4yso+lw9idebONAV4g4NVTULJcCsCDsQPVjZg7SAcfm0phjY5ZmYvVX098n1zrW991Y9HxrPLHUvalceY576mBRxGBpgxgUvfYOK4/sxCFI8+jHi3kxJbJ/rntAmeNkppZ0N36R1hRBFXKBibl2A2gOguwK4+rk/zPFV1ev38E1cuXBNz0p20NvgBWrcs0KJ6hcaAaoKdDkg7dO35ZxfjvWHRIWjkI+D/Wm3DXjdO05ZQOi/jMie4zme4zn+bY6/C2Wr9dV0fY5Z/OraXyKYq83nUykf8d7sC6lsZIwWPiPZ45FZ5QjhuIlomA1uDVNATfoIdPJgCshkoN0Vy+U5jBwBaGTXS+L0coxyOS8JUOIGfH3ZSCeahlsnj/jtOMswsklQvuIT3SmL2VSpBuTAeRDg2DSM08IR3ssA8T4nlXMEJZ08ooflcMM4J157h4ji1jXkgC9yroLg//NcT2efyNY7jvPATy833M+TVZ2otGRPwNsx8Lr3B4rGfU6MMauBt2R9QalRDeCg4eNxBR19C9+IYbj0JNd64fzmuln9FXMGbUSwMrGoxGgEvgStYxjs8oFXoFv/jnl0WX0EDoJFu/YlGatIqgKfi96UlZlsNF8ZYanPX9ApsHNQglTXcQWmfoiBktqXvy9qoKE8cvL0ki50le4F/PJxj9XIpH99zgA7VmN7VmNUBVDBtnNd35SBfk7P1hS/3Dbch+GXlx0igj8B+PV+YN/1kmUn4Od8kkqTAH5dc1nKRFg/S0CTFcpjWlH4rpVSVcHeGu5j4uvW8UtXnCFl+7fG9bmTPS957+cE1rp34GWPXgt3KKyeRXk9q/LmqZK2bhqHl0lozbl40acSUOFy3RKwq0d1sTMhkrQ7qmcBR1x/CgtY0R3zUzJozy+4qeJ0JghOGI4xYSOkdPcWj2qvvjORqISB4HuLateIBMUxZ8njLqBxaX6/VJeufUafQeJl2usfdav6+qVcJiqn08zKWwq2+pPWxy9pZfn0nQ83aexTpfKYgDH7f7JKGHvKerbwz9b5bBrO/pyXvbPK/mm9PsdzPMdzPAfHH5f9xcrmqdD74zjnCt7jlys4u/R8RBYsYijMT8/pBB8VkBgwYIufDjy8P4OC6Y7phq0pTrOikLGBOji90YsyQurxS98oHWmGUwSefS943BivtAAAsekYvn2c1O3vbGZ/PwY+xoD2CMjmWApPWBnL/O+mCnmJTey01ewLfqZn0Bknmhl6ACWXnBfBxPEv9wF3UrzIGLqAggwwwODvOI7IxE8oaNjmCLWveO00w28fB4P9xu//fo5qpt5C2vjWO7owaDnNYWJQX9lSxBwMsTJ7TCMzQTQZr4gciIBfQ3qTgDeyti3mb01mBR5X0YHfi3ikAqcVrcTplrBCBhWLZsdM7aYCnVwZemme5WsSmKwA1QJx9U5a0TkWVcgd6BkA56lkgOUBDDQqawDGpJzuypJLUeNgGbCtG0l+iLpQ694lm5+lGoJH+MMUWIoITavCBZgC7x7UMuEpv50TX7aGN5sQkPrz+rLBE6RvbKjeGmW0UwEqQSycADArVACiQvaYKU/KoDsD4apYZPO1CkG7A10Idv/p/cTbMepuk0/LwWIykw7VGlbG3Jdcc2bpx3S8bIpdgL5teDsHRghH8F4vlAsD1alsOqQBXdncfh/r+JuSEoo4L430e1ZeVbQod8EsCyNF3g8TVMu7NYKIL7cN3+8nRngd7XurK5lrBgDEea+fztXVmsDinmkxFym9/SUd4HsjbdSB133Dr98/6L8Tz0XBpT8pBAwS0F8TTY+gJS9M/NPXj6+/iwVZv6zPimfKEdTUQOjrbfldawJ43e1CBUuc5lj0r4enP5v0xR3QMPN0PnsBlEKg5LN5rCOcgx4++9aKYvocz/Ecz/Ecj+MPAxKq2QD51Jf4WfGOIdi7ruwWX8mAyD5liyx4/5r0FFkZ7GvGqoL6tUttXailH+ZtngHpDD50J7iJFH5wxWOnmsAZgRnjupURzA0yj9ux+k6u2fmvt41eGu54P068z4m2sbIzUgq1dlDU+8xClWvX+j6NbHQCutwgUwEqM3OI4FmD2rQpM50fYy5evhleto63c+BVW7jTU00GEWyzebzBQ0L3pTU0Bb4dAwYpytbbMSHhUHwMgiY6nTPbv0HZW7LRdf3PHwd2YYAzL1UOAYDJa5Tz8drDxFKlQFutF0eBlJwP1QUUHNHwjgyKGDywsmQFdh7M/BzVAJ2fb6HA1kNRqMVkJ5D0qOx1bdi3xT2fIS/N4DHoUVkxCs54C0W0VddbmdtZ0sWk+Gi2SomS7pfdvbmEOkrCNhYiE8Lw8qFIatvvhT8Za6WsrEcmGc65SAAMOCR6W85BT42tN7xPKsW5RAUgwPt3M8jd6jq1pjhPwwhqIwMyhR+fDgSIfgawBwKrKsr+p7juAvx8I8j57eOMyoTUvdg+3Se/fgw0FXw/lwP8Z8ZMYKESEkhjz8KXn/7M63UEPe7wEfK0DILreRYPjgSWrS8j0/ugX4pNfl8KGGRl79Y7bFpRAqc5poQktxAcvGwbxpwht+5LxAAETqxkKI5zYgzHvmnde+lzYpPvE1VsolT82tYJC1BKcHehXHEzhSjw1/cDrzufeW8BjlIaN0FM60K1q6jqjCE4Tx5v0useF+bvLNac9N8bFxDjlcAB1l2Gh3ug/EE+7R/lDSLrNfyUlXu6drG4O2ziwb09j4f3P2qz8AAw+WzbID+e93M8x3M8x3P8HSokHpmj2MEEgtaAlHzsTdEkaAvx7J6x2T4G6FIbwrVBPOOHzF7h8u/8vQiwtQZVxcdx8kWm0Jviy674GINmikFDyUxWHD69DNJNF4hAfQWwmc1LqljKv17HdMNfj8jeK31VUOdxee31ryqYp0GFYOQ8jDz0yIB2WVz/PNbkVndVuLP6I41gzF1gRk74MIdJNv/yu4YzU2cSLs1gxrrECDx6PxzYpGFrrWgYbx+U+6W3wgRA75T/3S9fcE/alrNqM8xIFzOqb2U2vpSKYiLmuRrRe1N8uXV8u49lFBgRhmM1TaPkUS99IgFid1GcSB+Ly+/SaFpSKUlKJlkaisLHfgvF163DpuPWWznSfzsGhgN7a1CEqlY0a58muDvpcWNaXW+vyIfX7jhGZfxTwar8b3RJNxftK+4Ly9JhUF/Es6dgLai8xgnyS43ucck9jLy3MtsucGxb9DBJ9FRIKC/F9502AVsO1yOM89xTdYvX6nXvYdbppeB0mEOd89NVMXX1UKVyl2go6TmqX6SvUiu+388CFVeTwT08No4IoOHAu3HtauN9Udcjzj1FMkoEIMDQjCpRqqhx7cTjJ+79jzGhmCXxmvOQZa7Pz4cUmjjnonixYuCV4FBmQzB8rsSIECzX8yfWVQv6ZwNwnAa0hhGyw0k3MzP0RnNDu9AbkxLnAHZtNEbsMSe6KkVba9he9EJfE/z2fuBbPG+nEZjN6B9JEKlCifDetUxNFXxGwUnr/SEm/wQUP48fChafHqk/+NbUGz+9Pp7tdu0ni2dTJnvyOXsp8SN7afJeznW7RFEWhQsp2hBJj1ynZo73YeGP8hzP8RzP8RzX8YcByTEmXm4bcrdglUFwC+MubqaxQcZDmZt3KKN8yhiZs0leBNDekI3wDAb4LWl4peBGf4zoYVBAGqO2lcWMTLo29glgZd5bZOMz2KLS6yUT9ulcM0iuXhQsoHI3Q9t09RJcAA/0EtB8+kDpEs3ul+PxbKaNoK/6XZZSk0FwDgvOvOK1t5gHfp92gQ3HCQOi3WAk1cm9qANJzTkjeERTHGb4CJ8CB6lbbIZXaJj9pX/LP7994KfbRkf4qITYyQqNK5Wc8lxqM8ejaz2MVSz0RprdnKwOVBCIh+tfv4gg006DvET2PYJJ5LUSgTSCRFGNTPuPF2NMgtTb1tgYHlKhH0bjs1RI24UUl8M5X+c0gu244C4rqJsW/isZnAiDsjEoY1aUsgC/8um4PFWKAvh8bqj97OJ9na+1gDOwuv6V9440gWaDr7CCcc6JMytVwqqRjeyvCr+UWEvznFAVfL1tmHDMqKJMc7wFXWhrrYKxGR37TQT7vlHNaViB2evtN6cthT2RkthNOtC2aVG61MPDRAX3j6Pu1QxiU2rVKtDMezf6kYLmtSaev0/535zPXMPZr2N+EcXIwBRspJagSU7PytssumQqPGUTvTvX7HkGWNnYZyMKfO3s2/p+nJhuUAjuc+IrOj8rjvP9GGUS2lRwaw0fgzS1EnRIkB7/zeXhUdWtJYME2pT+7trwcQxMX0IDosCfv7/DLNa7IfxJWn3GmI496E0KPmOyilnlwfyyWveOh4dlgZC4mPLp9fJ4zNc/cz1dweFSKfP14t975lcpTerai2YV0+GRbCpHeERCIJ8Dmd8ibuG91ii6kSIdz/Ecz/Ecz7HGHwYke+tRjma4ohnEGqkgW9MIlK0C+HzsX/eG2oNiRzCjjwApOsy0ZWbJDPjl6wtkMjM/MXCMSWO0YJCZA6ITQMPeO+5jlEFdk2jYJp9iVWHkE4hyZj57SzDwsHddUAdW0JKZ6dMrU8/KwNqsrvuw6FLesREN4Fn9iBdLBGPX7z4me0S21rCpokvIic5Z1KI8rHMwcFRnZnrMxafPioZFgDAzkBYU6BCQxjORClOoIHkA+Ov9LMqUgpKm4kuO86etwwwBTsiJ/7I1THfcB2lABoLbKpxFcjKNEx2RQY4grzXFAM0js48nKyal2insd6ngKzOhCUKBJe/snF8DcATtKT1KRmSm5zB8t7MCkyPd5eO6Jo1qmFHlzb2Ce0EGyQuAzAAciybyGFSpyuKm53Fn5haXQCsWsM9LZekCVDIqUln30HuAiaoyqITUq0KVx2jmGAd7sW47A+D3uCeT5qXR/7Cp4strGIHez5V4APD19QXf3z/gAfgA4G4Tf9o6rAN/GewzylvKh6+JwDqXzNT3yMTDSePKHothhr0RVPllftj4rSVcUFOYwORvNBkn/UsjUy6ylM8uM8vnV6yxKxiWPKH8ogBX1aujKGPVJoKBALSRVBFhlXRvUeWNdXhMq/+dsY7mYei7VJzflE3n5+WhlSIJtWQ86JvTHtdfrKcWlR6DY98bjpO9bgDXxmtv8MZKDmwGTuBafdk7kwXDIcpvbQA+8jmW1c8f+EufkgW/d2nk8vMrcPndsdbVw4P6OpyVqPREWg/aBZzcF8j4/JV1KOaXZ0+uDQ/5Y9R99beP9Tme4zme49/u+ONO7ULvChuDoKHTMyKbVgW4+JL47z7Nrw/5CuwRm4Dz/TDBEcHUvnV8ffmC4zxw3D/IjwalR7eg1HxEcDvheDsOuFHdJj/fwA3EsXyqHrS9RDCygTpm6aqik9SpDMquEr4uK/DM8yBd6ApIlp+DYzU+uwPTJuUz47Xl1g0E55sByFUV6vuYOHNjHXFMuuZ2znx/UMAiGD3NYg+OrD6CQhJBtIaremuKcc6iA7UIHDZl8/oAjdj2rWNXxasqPsbEPYL7+0wzQXo9ZLDKa+FoQlBVcq8eB85+3AoK3cm/VxXsaJAvZHEf7jixfCxKUvXTek36C4CSWYWk6pVimFVj93rPOs4xCDD2zmoR+5ouQZ7xnpDGY8iG9Qw8tVGBDIJQH5NQq0qJ3FBUEgaEEwxoHioIuW4ydsqu6zjYrNJlkpfzzs+7qeLry45/ef/AxzkjicCgswv7DNC0fCpUBL98ueF17/g4B97CGPPlpVPeOACXS9xz5rhtHeeY+PnWcTpgc+K2b3g/Dnwco0wvf/0IXxAlmFNxmtchqGwZ1AmpTkAILcCgrtibooHB+k97h0jDtFFUqzQLVElaGp9NiKb1f43aEe9RRqSJRWptSK4oBvu19vhGeICPfJ14yE9zFWIYyvwPCmyXpudc74cZNmFfyXv4mLg7/vntI2S8pS40aW9W2futNQw4WtxLug4aQJinimBcbhSp//L6S4++i8gUTKfa3BiGPx+zpNgfPzmqfUGHPKJvpHWtvr56zl8qTP/lIT/ezI9f+uOv8rmeYOQTHrlSO9eFw+XGwrqJfnggXHeL1a/1GbB4/ZvVwNrPnuM5nuM5nuNh/HEfEiFn3AcD3bPc0FNWlCV7q2B9BfK5gf/+Bz/+s0WTelfFbd/ofXAOaGtQd3y97WivwC2qCf/pt7fQzF/qLvcxST1R+fTx3DqyPyQzWwKqhl23GRGUulWeQGtK0KUO7MzwzpM0K8jKrG2thWu913bmgqWmkx8qYTCm3EE5rzMCufX9GoHgaYaPUBG6bZ0Axxw9gwknfWJM9pwYIiYrirxfd06+ZxrOyf4Ld8DCKbw1IT1GGNAogFtQ2NrWYcL3Mqve8OvBKsgeWe17SB1/nIPzGyZtHoF5Uqp43NF0G0e5tY4OxxaA5jSrrLE7QnXrce1IzHFlK6/0JSB8Ewg+syomAkgEzfn9Hsdl2fdQX7X+fq2WkAG0qgg91MOuAJYN1Kh74Nq4n9FNChbU+ivQgvXva2h0uZ+STpTfediETcc2Db/cbmh64v1+wgMQ5nFsELwNKwqbu+Pbx8G1ewGkhwcFZ3qhu+mUrL5Fg42b4aU1fDeuiffJHqGts3KaIB4JJh3oTdAE+IjqFRXnBC0MWBtYOfo+zgKXpx1cnyp4uVER6v0+MIZBe1TVlJLAh1v0iNHY9bOS1+e5TObYD+D2+uzKNRXXUz6tG8QxV79I0vo8e1mEiQgIPj4Y6L++bDji6m7a8KKKw708eBzr2aI9lNI6+aHHJEWsq2LEunO7eJNIJf+pJHaJx+1aIcUCbq0rzjGrcsjnFABhEkGiF0k1KkCRGGBSA5X46H2p7tkFzK9Vfp3kH6/L7/7+MxrAtSpyvZ7Xe/f6zwQdl4nIXxbgj4dDJLLkAsaA5b2SL60zi+dOJtj+50/qOZ7jOZ7j397444Ak1JL23vBxDjaPXrJRGn0bSeXKXaOyR5+yVvWKjBtjn9jD9LCJQGzi7fs39G2H2MRxTmwvG445cJxWsbWZ48R8UGOaALroYlLkBpL/zeMRKUPBDOr5qhUC5mGrCG4vGz1FoPDN8e0w7CbQrvgAqT3VaHzdj3xlx80dPRp6tStUIihWwb61ohbZtPqZKHtJEIHPCLqUweGTn50+CwmmVMK5GVp9DGbRlBrZPheQQiYZTAuOc2LfGmVKh+E0RxhC49YagyenItB/vh/409bxj7cNf7nTbO1FBK6Uvs05H86m52kWgR8pKluAWVKpmLkfY/BnhupXAYDeO8wMMplyTjU1uQRdOQFXeo7bUmWqXiOJBv+RfTJ87RyUb+1RAeT7PSQ+V8R6XRc9/HlSzSoDtN40BAYokauN/RktAGaaGs649uLAHJFFlgWai3IoqMb3q9t9rk2RNJIETjf8y/0DX7cd297L1HA6m9JvveGevUlbRw86lAPR/Kz4+eWGBspE76rYtoZjTBzDynPiNKv3iQDi7JloIeU9KksuNZddSfU5puH9tAKSt73F9SeA0a4FRAGUuIBmcsAde+t42RzvFnLCws//+WXD22ClBwL0reEMvx6/HFJ9dmbIL8D44d7NuY6Hmcd7UsY5+8LsIg+Yqz9fu6tSAliXQlN+/601bCq4qeBl3/Dnj5QoW1VZFXmQ0E4Z468blfq+30fgRQok5DOvki9xo3jgStV4PnS99CfxmFNBMd8mGoIBiOpnSxENgiWIY987znMSHAqiUqKYYaZp5olJQ/GK/3DUX/91wz/9mSAFuPA4f+ctgTPWPx5f4FhGmUlvrOqLLTBLsH6RLc+Pqt6S/yUn8xzP8RzP8W9r/GFAoo3GiDdl9j834nyoz3BJrJpA/L4SdZVAkseNJDJLxAarqjFjt3YY3E7MaFz/OO+4n8xy56YLgCZ24pXVB4BjTnTRoDutaom7w+I4IjYtIJKBlNV5oLLPP+8dfwr+PEBqzD/8wqn9Hv0b3+1kI2xQXH4YcdxTPAzf+CUjwEZra0PsW8PLrQEu7GMIhR8TegnsnTSme/gxTPdwgnfc9o6vrxu+vx/U7Q9TRlXSN15vHQan0WKQn82dUskb55ANxqFUBQbDh1hlAfMy//njxFuf2FSxa8NLU7y447dz4PW2AaL49ePAFIv5terzMQf2DP493cOXMzxpZQx5PbLuBodkqjeyz+6+VKmAouk9rGGRymJ7fk4GHOD5J90C0Kj2KOwclbnPz6baUPgUXDgjSf3J7y4XawTlMaKnNFpjoMkDyMJOUy2+f65PYAkdZIDZwyMhqVulkhS3lpnj23Fgm4oOSrPSRBMxv4afXm4Fhr5snb1ge8f/8Jfv+HY/4QGKX6MnhJVHhu2tUa73Lap6Z93fbMImfsvmbooumDtmb1B1/MOt4zcfeEt1r0vyYA7DEfOWGfxstu8RgNs0/PZ2hyhw2ymhKyBIfztPvGw0qTsnA+S9K1XpMsC/XINcy1W1utz7PwxZKm4WSlbD1ueseJTKhAkgjpDuzeLd7daqB2G4wQYFBram6KI4leCK1Ze1nrLPLNfFfc7y+NG5DqGAPlhRbc1xP0c8k5NaGCBFBV/3jvs5o8lfoZtQ6KHUyCSqcEygOIByzQy0ViaNMRU21/magPfo5fe/H7b/jYn//KOFIRdt8XdAhohff/RYGBFU6unh42PtieDBOBWI/eP6fJe1vy1O1+8tnOd4jud4juf447K/ETwbHD+97ng/R3kHtAtdK3FKbgEpB1n8Y80HNyqz5dkMKHyBR+bRI9t6HGflGjPLPS7uihmwJJXm6ltyTsMwyt4W2LgAkdy0WhxYfmd6WuTm8mVr+Mcv+/IBiH1nU8X7nOgiOBGblV/VpRbnHBk4J40DYOUpsq4AMG1l97eNPOxhVN2RAAYuwE9br2ZYFcdwBpkSHBVzw/txhvwog+jXW6c8c0U3rBRpVAsyeG4q+KV3vE1WC4RRHvbOk3iblPNSEeyt430e+BiGoY49fFZYIaD61sdBoQHtDKQTSH2MGcBEMYymczkPmemHSKlb+ZiL3x8lLrmso8xULsoEihoGUMKXCwaLWoJwhVd+cN9b9RCNadAEACoVgNh0YKzeKfiSiE6BArgvidiYD0QFZUwPA0KujWEeHiZcVKKCTdtSoMKSgm1xHARXii97x8d5VrZa8cjdJ7d/wqI6lYGhBeB7v5/45csrAMP3MWCHYRfFS2/47ePE3hU/3WhaMd3jGoEKaVHty3s874EUNfAAYNIIxjSuk7nhcMG/HAPRnkPJcHOoJ1jQavQHSEGaYEUxj6FAPARTHC+9YVeFAfh+nnAMdG346XZDF8f9nNUkfg9X92sSpILQyz1+HXm9EshY3csBRq5vkwVyu0b1yZd6GAN7Xu/phmkMiw8HmkflyhUdQNsVt94xzfDXMDfNXg80ygGXMpjld7NS+1PfMAbvV8pba3ko5bPqPA0vt17CF1xbZOg1FTRpK9BP8Bbnk9977QdrQYPMBAiAAoUWN2d+yhUMLKCykg3197qvLhfE159XIOJAeA49HPL6qAtYECwgudSz5HL/fHpvnntqCFwONe/Vywp6jud4jud4jk/jj1O2QJ69Ofnm2hRvcmJXxa1zwzojELmHupN49FMM8pzTHwKyKCbuqJ6HyhSeXpt5BQAg/716RUr9JzoyJBpHPfsyUMDE3HGMCRHD3hs1+50UodTqj5O8BBUSmykByj++7hXYXjcmgAHYX+8nDDzf3Dfp17E+P2UhBQzWplk4WK+ASJsAnaBkDMNwQ98pk9ucAOR+zvJseDsHtt6wmZHyFEHB1km5om8GA9W9tws1hcPCvA1wnOYRaCru5thEcA+/j9em+Kk1fMyJt2logpL6zYz9OQ2HGZoLdhFIa/j2/oEZDdAtLngewtYUH8fEb+OD/PrksAtVvYAFJhbtBEvNStbGT9qVQo2Z6HuIL1SgFn1G6QUjTapqAVmBh4O0rQz6Z2XYJdS/MvjkSczpi9o1GaVQQQ2ViU8hgVuYQhoYOKqypwayAHWudUmQr5HRH7ywGv1FBJ4WimX+CMACIOS/gTRlzMS9F/WrN0XvDcc58X4MOoKP5ejtAL4fA69bK4rcNIt+D19O7wWECbSlMRteUsZ5fpIKcDTtvEePwr4pKxiTkaQo4BNItSwee1Dnrk3qAT4djrdzwHurysBf3wmoXraGX15u0FeCYDjw3//6DR9Rac2qJPDjs6NiYZE61+wR4e8fPYhKtODy3jmtgvTyN9JLNS9u/jL0i4b4LWiWM3ri6MPSMIUAZk6rTH3FzZFocZHqo8uKZnrnSAAWDwS/bTy2Y8y6TgOsznzZCFSOmR41i8xK76MV+RfB1fMarvma0wi4IxmwZvwavi/TQzzMPq4/fPx3vuRf2z+ez4xMYMjlZ7j0HF6/Ty7PGl9Xtqo/ASwRlcbre57jOZ7jOZ7jcfxhQJLNjKUUJDRF20Rjg1VMH5jDcNs2fP36E96+f4fNycCqcmKsKvR4iJuzudW9lSHhGZt2jwd/yqIOs+I/t+hnIYiJioSHYd9IJStmCd1WZu5+TogwWygIeozZct0Ft6WsGiAldM0hiE31AnTezon3MABTCF7S3yJ+n6pBZl5ADYgsdajbOEtPAU7iGDLImBlgMti3aEr+60FKSu8NujW8h3P23rWMys4wLftR7WUF42aOl07O/9uYGCDX/cvWcc5JcKjAEMfsgG4btmFoCkwQGHkEWBOO0w3j5Od++foVfTvRBo3bAGGwGwHgnNdsaQRJzj6iPQBIql1pY1XM4eXyLSAn3SPTLcoG26wETHO0lkGjR/aY36aiFX5kz/+4BrpGw8muSfmLY4kgrzVgjOVMnxSgFCCweQnUqurDdZaVAnegRwN3qtVl87eqVsNxNUaPUERSrsnXW8d0YN5XAsAqyEIF6zYN29Ye+rX21tCaojXFcRxcp8bm76xwJUC+NfY1jbi3mgpaeGh4rG2bjtGiETuy5KYE3Bm4IbLIabBX4DIy569bwwcM9xEKC8h+jxW8JxC4Shlnpt/huI+JL7cNKore+NpjTN5vAFpr9LC5BIsWQJCSyI9iHFeTTbsAkXxc8LGT13oB4M8B9DTSFZsIbp1GpGfMVRTPMD2SA4I639u+4TgHzpBTp1GlUlQg6HQJOvIZaNNDHITPrY8xMaahxTNvetISV8WgkjyQS+JFIsmU12/NmWIpApbOXSkPE5CnV40I5cQhTICsucmJunxOLND6us/A439u5PoH1pr79BGOSwUlMRQulRIQ0OWrE2QQfGhVp7wow/KQEPtM23yO53iO53iONf4OgCRjuczGLnfw6Q6fE9oafnl9xTkG7DzL+fkacEoEvAB19Wu7kPSi4INcRWLTYLC5bYqPMxyQp0e2HwEE8iC5A2WAww0iqDZz0QTcgI+TPSm3rYX7+eoZ8Ycdi5WA//Ttg30DIviyd/x82/AxJr6dA7fesWmjx0hkWFVkOVCrBtjotdlbc/z1+OAGHd97lbBdtBEHpuPjCM+FvvwZqkF7Gl5a8OORjtdAc4GHKtLL3kuNKTPqrQleW49eFs7z3hXS2OfxfU42tjow1NB7w9Z4Tc4IMiei8hOTdZpjpPLPeZCyEjKg45JAnWAWeO+NWevLOhnGwNYlLq4EIM7oInhaKcmMDMARpm1gdKAxp3PymqMlyAwzuHjPiAw2nK9L6pR7ghsCwqw8jGGsdEk2snOUwpyt3qa6eSLgJMbl2Ziz0pCqcntU+9gT5CX6U1W/JgXYfnrZqXJ0PyPoWt/3UEBwUhTPi6lozn+LjHlmx4FFsdkbqWvHOfHbOBhoKQKgaR2fIvwphPdJmiY6FK1LVZbOwOKlhBbHVq71Drzdx6LBxaSVipXXj1g90vQSWuCPYg8EJVtnxeXt48Tb/cSv397hAtwjwL6PZZB4rapCVsUjXdenO9x+TMH/SDFan3e99PyT1c3WWoG2LvQPKR+UWOvs2SI98z4GDptw48+3II0e50DvutS9hIpoopT4tkigHAG2zsFqWtH9HvrbvI772kvRA4j/0FeHyzMqgKNI9g96gGA+H/IzRAlMi06Y1zM+Y8kmPwLQy5f9ULUILPMIVh6ACz9THtDX5Yw/f6b75XeXKxcAkb0kAVpUSEG9oBq/flyCuOd4jud4jud4GH8HylZkCSNwn9NxzvHp+S+4H0dkGBMcRHk/XukAjmgayX4N0aD/RAbSAHzpzOCasQGaCjaOfWukQRXvewWnGSxeN7ylenI9Th7JDBO/HtnEGfKygkcJ0NzPylvgpFmhi+Cld27YRuBxPwem8TjfjxNjGr7cqMyVQRTBnKBvjR4ieqER5CtibqCCEYpiqbQ1Um5XG959YoSHAeU/sy8hjjl9T4A4t8dGXgA4kVUJL7f27+eAOkq2lY3CA6+C8hhIh3GRBaAYRPPv5xjcuFVhKrBhcAXucU0FEsZuSeMh6BqLo8ORtB8hwLyuN0H4rTSEq7bX8bE65pURn/En+0bsgaqTVTXEWmuiBJbIfib2PmTlIClPjwHNamIvRJOvia8qNaYIcG0yM51Sz+YM2r4EDXL4Mh5sXQmYmuJ79BLQVDSCJvl0OL4auBP4WEjrMsNe01iHqFH5dEeY7fFeTilZBpzpCI5VpYhze9kbPqasqoEkm+aquMfzTYCm8QyYjqI4ko8v1bCfFdZMTqTfS4LRKy1qGnuZ1FHPkAbe00nde3gixKE+9LoJ75ekjT4IF+Tye7y0MVePgARCEJevOcbgvwWxzkBSpKSHCr9jGqlvM8o1JSqhBpnArlTnG2FG6EbT2g1avjZnVCh6V3wNw8vTvBTXIJznMkYVqWemgMC4iVQPzIjgu14b90qdaq4FI91rD5rffaxnUBnHhjDC1QD0OmcPCxmXf8unv39+zeUeWEBkvXBdH0eVDH/85cOF9esXC5jcSEqkxjNmLlUuz/N6jud4jud4jh/GH29qx8qeuTn+9PUr/uW334rPLZXGjNf62jUeOMKg+lXuCSpAB2Vo8+cMqI2BrDveg/e99YbWBeKN9JRhD/sWA7fI/mfw75k9ftzlrj85jXz2HoFx0hcyaM5MOBCce1X0poCEtGk4oHdVeNAxvn/M6FvJRJ5XwJnzte8dp806kOse1hGUtMgiH0apVQ0J22zgTxrQCGrEyIDO+fcxrGSI09xOPu2VFsDq2/1k5h6kjryq4PtpuJtDmrDHYM5QxGJgcp78vm3X+t6stmSsMcwIXqKa4E5nZ9J6gJ9edmxNcdq9KG6aFQskEIyfx3wmiDR3vM9Rl3aBEK8A3WOdJd0qm5EzAGkpexrAYBh7mm69Ac5mbEH6wsSaCBqVJ3rNixoL+4csed0OgmzITw5/+UhEwzVAauFPtw3uhgkG1ltrlDuOvpaVkf9UKYr1lDSw1hgQb53f4Y6gd6WhIAFaXrMjlJXy+vWmlUAY02DiZUK4icDiXhuTdDyqs0WAjxSbQH0ee0m4fntvuG2UmPUAciohKBBeQyVxnDQt5POG/8vKVQa3E5lUoBqSeQDscDQf7hQpSGAe13f1gax+i7p0nv09K2j9hEXrWkscX0k/x5xDHF/3jd4u0wCflfjYA6AlPSqrMwCYtIjkwBSCbxgFFDTAYt5X7uzvOi3EOxoBv0ZyY1cmfNg/s6qljlCOkpAW1qzisSqda8gMcGH/EAqYcAbMeY/fNlbXNlXc56osFnU0n3fyqWfk92L4K2D4POGff3fNVSAXyeVncvmlZ+VtAd1rxeb6gXWGlwp8fa2te/i6xSSIf47neI7neI7H8ced2qP64BFZbPcDKgqTmYkjDr9kE4G1+cQ/csPOnyQgAOjnkFnmDAqy4f22d+gWMrmZPe2KBoQ/x5LXzIZ5fv4CFQ/7TP4+NhSH44jscVdFj4ytYDUnA+TYz2noTfGyyQ8b222jWdtf3+7MGofssEZW+kwwllMzHzc0j0pLi8ALkTWlazID7dbYX5BVpRZSRdWnkxn9yI4KBB/HwBZBfkmzZkBhpGBNS2lPwdet47U3bDIh5vhwNv9uKjgacNxZJdo2BipXTvbWNNYMKyKbtjDYC1jhKPd0BxOVSUELfIOG6MVAHJOvIHQEEDBhcNV6CBtEJcVkqR+JMvue2eiminnSkO5ztjubUlsEEzZYict+hWsGtsfnj2zaKATij/fDZckB5O+v4IWfvbeGW2uQ1nC+3+GQMI0kzWcIwWkaZ26Nakm5nFVIKcvKV1YB3JOCtWhbCcgcAVSU9CDLwEpXlSKDasvA3cOLpzV83Toz6ADk1vB2UtRhRoXtaoh3BWcJnM5ppKk1xXGkLG/DOUn5q+pVTG1mn0UXkIKEBG6Is1XgaAR06XHTVPB2Trzs9D8ZxsqBNceIwByCAu7w1YfEKtxjLHxtYEeC0kvaBUEFnZPUMPcLwHA+55oI7pbGgopznOyrA587w42+JOH3ASE9rkFgGsl9z74P/huypKE97rEe9/PpjnFaCRVABFtPM0OrNT5SIa2es2sNt+jlmlF5E32U0s7rk/02386z7hdStQQe67/uvHi+VfAeky2Xe8rrP1iv+XxjPWKPy7Xin73pUmG8vj6eN79b0QiAm/PP+1ouru8oUPz5GJ5g5Dme4zme4/fH3wGQGCARfIKNzLmp5EM/ub8JAgDE5oKHDeUh71SbCl9giEqDkNd+HrNel3sGJX8juxbRhEemG+P3N5fVeIra8K4BHYDylzh94tZIDbPgbg9nxaZvbLD/69sd/hrN8UoJ1vz43hq23mAnpWzPYdh6YxD0UNpPGg4rEE3osj2m4XRgBwOvkfQUX83TDtLHkmoGIaVjRjUiM9tfXjbA2di7hd+HOXAchq0Luih+ux/4hjteXzb8w8sNt5YKU463yaC8OXsyPs4JNMFt79WnsQIXqZ6Ca+B52CygyX4aheb1k5BJdqpbZRCgArx0Bo9vYwGZWo+O8qFRhPIRwArCXIGMgNQtG6wqaVSzNOgaxRiJNfoRSkMS36HCYMolnLbjdVe39roJcp0HLeXzuq+DiuWvKthirWis4T2qNf/4esOtU+0s+x0cwL513EK57j5m+EgAX2477uegxHJE5ynvnJfH3AG73AuXIHZ60iplBVZxz1lIwWa17hwTv8Y8CggkAGASn9PQ8uQ67KHg9DBNEYSe0+DHwK1RGON+TtKZolclM/h1PQP82XRoS0CAapxemuLsEWrSq0q29Yb7OdGi4qIQbE3xpXf85e0OYCm5Zd/a53j3Gpjmd18zMQzaWclKr6Tr+kpn86/SMWKdfrndcNjEOVE9QwpguuA+DS9R1TuN6xwCjElg0mPOzWmoOMzx7f2sez+rFGfQ7dgDp5WEMV+glOplrLppU6rQmWOelBwf02BT6FEE4KpwVz4ul/9k76AGUNk2ClpMaF3HeDMeyiSJSwTwQDMia35/uI8eLs7jz1r0XOVxfpaLv67Lh0v58D0/oo1SRcx3enyWpQBC4JTfAznP8RzP8Rz/xsffhbKVQKI3xdvxsdRXgNqkHx/W9SusLesS/WFVQ5rw72MY+q6kG6jg60vnRhyZ3TscaIBMrwpGbhoCSqWekfVMnvPDnhJ/r02Uuys33dxIjU3n2ujzMNwwz7WzZR/AX9/uDPpvG162XpUZgeBPX17wfpz4fj9wzFm0hVTRybE3hauHYaFSDthXlYO8ckaGqQSEpFk40DaBewYtC4y8vmzYu1agnIpkTQUNALqjAWG4yMByDMNrUJa+z1kKUkf0znREY602aJNH2lBch4fWXwdgITkbm7S54yft2DorIG/HwImJdwDaBc20fBDOaayexdQXRz0+ByIhP7sy8eLXy+xwl+KSZ08FgMoKIwLoRbEgnL6GPxlUlW/E9B+CjRVT8dsvCfHHIZwnBa9ZVwLR3jrexwk0RRfB2xg4vC3hAgdunZ4j1hR349yIg2prCtyzetm0gtsHfFE0RNQPWUVBqLHx/MUQcsQonxqNLLu742XfcLdZVbgE+BagULtge+kYH/OiHhanr5dAFqsi11o42LtjuoRvkOB9Tpw+y6uo5jpASIIV0XXVEzgm8HJ4VCIIpnpT/LxteNlJU8y+o6JvRTA7B/18qpL4cBml1DSy36s3xdZpOJqAPitSFtd8OiV03+egeMHxeH/kOb7uHQNOjxJ3Xmtckj7xYiq+8fg+7mfN6zkNmyvQLw37Gj1lQiCclEHPeysMAK9V5ez14L207h++cFEgLe9TSRC8nq/poTQD5RdQ09gLHoA931TPuQsdspIy1wvxN2P+db3Mo8fjU+W+7vnf+wypq/zDRz5IAMvqyYutpE7niUee4zme4zl+HH/cqT3TfLICgoe8UgZk12wZ8ldrExWEWovTkCtpNiMyn8BqmBUhfcGcGb7MaueTX3wZa+Vx5CaLPAoHIEvFJYOOfMc1u5cmb6lAswU3PjPOuHzskgk1/PX7Hd/bgZ9eb/iy98qMv+4bVATf7gfe7ye0KbbQ7rcZje1ZIYlgerpjbw1HGIl5zP305eHgIB/bNaQmLyFemsots7fc0BGBPUHfHAZ0ZkIzSDym4f/77a2oPq8tlYx4XY7h1aC7S8PHGEgKGCVxgX1rFcBwiYQjfRzCropbU7zsDW/HwP3OxvfZCXrMHNtOyeHzUhmQCGwySDZB0D+wjjEj7eDcw1PsYFH2ssemZJUrW8uoOftSck6dcVd99ArILn4f1zhHgNV4f2mevoJhEBBBgI+T9CLoUSpo5zQMpau6QvF62/BxjBKMOILKuAWI+DgG3u8n3LlmmyrucwbQjrUdVJ7WMth7WM7Ve5N0O87VAl6ipGqJLglvBCD5GLP6hLSxWpj6ep+pK+nLUv0lkxXEHClXew7Dl9cdH3PiduuYp3GewDWWVTg3q/6g4DGVrPL1GqWcrTQNB/sTUMH7cT6AxzTaFBH0jc+kdEZ3jx4myfsqnhOt4bYF4JfQg+sRwPtq5s/nyLdxslkdwLCJXRv9WOKp5O445sREJCEcuLWGTPerkPL1dmfv1HTHx5yQLuwxC8pe64ozqpIW12I41fJqARgTE+pA3xrejwGfABQYhwVYQxnfpsCCOyWrk1JbQPOhGsbEzQxqaYLTlG3P+8mvWYy4CB4PjKRecrHlHoOHe259Hwq4tKgQIdZY9hQqAkRkRQioZ8r6oFg7kiau8vB8uVZU83CWZDBB77zIfj/HczzHczzHGn+csuWOBpb81/idaohc4rv8GbgRjsmMbrkby8qw5hsy250GgmcELNoEt9CyT6Wjqy6+uwWNx2KTZp/Hyqp7yWM+qOz4yhx7BKQiAhPyyL+fB5JCdM2w5Z7Yu2IObtTnmLAwH8wNau8NL9bx/eOAeFQagttuZrhHcKmQkpjtIjgTqKWppNOvRYXmfuSA74CN8I6QAkm3vYWiVCsmUR23AR/HjOCCm3xmWLsIKXJCDrw48G2SAtSb4hQe6x6ga1fBPaoFZxifLQkDASL4OSaz6eqsaHzMieNOHv8vt06Of6wDM8Pb2x37ttyhs+pkSCO+S3ASICZBS3zzBSDnyyNDSk5ZSKsuNTJEpnmLCtFDMH653oXvImuePVUZ5C8qD6MWLtVc2wtQb1vDvjUcxgZyGNCC3kRqFYNoc3L/zzEL1B9BLXSXoKUsOtUYxjXDkiN/l0C1SVG80r8FuPROYJ0bvVcML61ji6s64VG5CUGFVLSzKMtJeIy8r0D88qh4GE1ZUTjO1ditQTtyWPWv/LTvVCDbHf/Tr99LUS3XhXYpgNOERqkrS4+6p1l58To/F+Av73f6g3S9xpeBTfkw0gu9smoHglJXEOd5OPhc21tjRTW8ZCx6xpS3A6YmUAFet4aXxl6Tw9fx8nnFuR3RI/OltXBO1/BMWsIKnL90Vw/xhwj4e/RmvedCl1A0CxABB8ZJNa2XreFl7zid1ZiuSnA8Da3RX0nlIkwRIDcDf/PHfj3SR3094yWljRfY/7yB1HW4XJAr/rsmlqoXxfHDWrsmqRKclD9I7EF2qbr5euvlWFdyKp9q+alpyGsBJEt5LI+zCa475XM8x3M8x3Nw/HEfknhip0lcGgdWeTr+GwSjh4w2D2Bxyd0IHPzzblD/jGAM3Di2rZUpo8Ym5uDmxs2KijNuKY/LQIG0HFI/UlKYPReXL4yNZEbvgDvwervhfhwAwmvFV5a0GlqTOuCUg9VGBZ+346TsZgSITVkVgTE7P4fhiGwk3HG3iW2jB8V9BNjYO+RjNfo3ZXC5t0aglV3aPqGgFLAaZYSbkppCZR/SU8xX5jv7TdwBn1TEuUWvxk9bx7fzxDHZfL8H135GdvWlN3ycE9MMb+aQTmd0B7DvDKyStuagnGlRqQBoA4ZP3CfQnEHgTWiA+aUxGD22pQBUAX6AEQEwh5c3ye/RNxxB5UtUEsFLmsc1FaBdKF6CoN44DBLqabymIxp3XVBqSYCjb63MAHOsNRbHZjzOK21DWwbPDPJ6b3hpHQfGAiaI6huCGgbQ3yZAYTbn9rhtVEISN2ldG3uVvNEjhskBgs05neZ4wn6dNKaER6VHpRSVEJ+dfRX3Oelv4QQdEuBmDoLsKxsmG9q97n8vYMh1QYrUrbWVpBCa6c1Jg8Sct5egGp4WWfjG9aiRtU6VsAR6KQaQx9MvnimV0XavYP5KIcs/K5QN4JbV2GvYSy8P5TxGY7ob8G0clOcO0K8a0uXO7Lxb9FEbIA04ffI+KSCSABzhtk6Rhu9jUDo8APDbwfv8PUwxc33DQ7mwNwohDMPwdQ8IWPk4z4m+N/SN9Nimgs9J/QS7SVFsIrBAGwkGkp4GIUUtxRVSvatuw6DkacqrR+f8p0f/JTf1N5BK/Lnkma9XjbeyYpmNpjrYDBW3BN+rv2f1CtX81yJ4RNF5XtlzQ6GJeTmWWCugkl461T/HczzHczzHGn8Xp/Z80J/TKmstuQ9msOHXjT2zVwzE9k5d+ikOgJt5ZcP4hvgyWYGcSG3QegkePDetKMc0ETRlUDzS5C3oGW7p5B58apHiOLfgQJNXHa7zEXznBjXNYAFwQgH10+QwOFOVku6cxmNK929VCWdlkmjGmcco6M7s5ta0PCqyidozwhDBEMcx6NjuAL68dNzvM5q7EU7lpAzsey8AmFMrzkDudetw8LPOc2JXxaZSjeESgeFvH2fxow0C71eqWpxfBCfSWHqgMaOCiXiGjQ2xebvBB4KeFsE2gCOALYM2ggIBHsCjpYxXBCSMFyI4KprR45URBMd9XrwWgPo3FGh9VflsOt7uZ/27NdLpkoYzpwWYZgXPR6pRRS9L+JZYrs25jlkCsPQmBSo+7mdQV6SEDXK9k+Li+NPrhtet4+Mcpax1GL1z7iMlmNc9JMK+pAPhUh8Zfs6ZRTVHS5ksKUlzGHrXUoDKCtGb02toRKCpIGXqI9ZvZsVbjx6EqD5lQJpApBLevipeqXqWcR9vQ8fWFe3iXDTNcT9GzTUxFFfXiEwJe6Qc5zC60Mc6dRAMNF/Hyoqa48vWWYHNxqu6WTIw/TSx69dUw+tc/yqXbHncY6LhZSNxQ1Uyxqs6/P3O5MUvX264Dwbr6cXjDmygq/vHmDhhMInqmDnux6zETaCXWv99a9g2lpFMg6YYjxE+L8IDxwxwLVGPM+SkHY6tCQxSFRVHqA7qhbYY1/YMnyQLGmLWE+p5rSvwP8d8vE99Te+n2/dhXfNFlz/zvrpWSbJKIalqJoAtkY2USLYQqciRuIHnG3PqhXFjJXh9d1axxrwcS/4hpMrZ+SPYeo7neI7neI6/AyDpW0fvSyKSz+H1JGamUqG+SvqP4XBmdBm8uwJHbgSfss3XkZtFNtYuSVKB+NqhcnNu4aB9nvMi1yvVB+BwNG1ABPWZSUvXY2kCwKoXwu8eKj7c9MZg4JnZr9y0LGhfzNIGRzpQ2ozsZAMd28fIXg9+xnEaG9oRmWDzqHBEsB8b4H3axcAP6Aez+dvecI6J8wy/lq2F4SQ/v4sWpcdbFgQEA4bTHW/HwNYV71i0oBkO7Qn8VKlUJSrAyQDCRJbRXMRc92GwVsnayrIfoZRVfaxx6WZcBIt5YhHC8do7BMAWwdDZArHkHxngtZUNNyOwS4O7PCb2mmiBkhYVkrx4WddrkKpqDEv3+PCBOUfRRsyCV98pQlDrs1FJyKK35RqQZ4O1tGi6Bisw6eMCAXw6tp2UsXS6junAS+sRKDtck75G0GfRjVwrsmLoRZ9rAkhvBW6TriVNMI7l0p4N3Cr0spiXAFKV6nrHOStoT2pQBpMaPSrz+HQ/i1yyFRL+MfTpoRO6V1JjTMcJiip8ESqKHRfjSgCkol3u6ZTp3ZSGluPaD4NcW45N0ieFQelPtw1//ThCvpnzoR7gqp5gqxKclbfsScgKJEIYIZMgSeeb4LNCPZq/4zMl5h4idW4uTKLMrETZem4mjc8E8JkYh3Odilo5h61xfaT/Sx73GFb0Rt4vTsqcMeHQArzaRADUFufLSk9vivsxQjTkEoXHdUjwq1EJgRCk0ET14kGCS2Ujr+F1uXwCHll54HW/ULUeF9iabwOmeIHdUsSL3rrWUkxl7RvaBJisw6ZRJxzli3SdMwjKyJTPj5wLUmtVaQp5N8NzPMdzPMdzPI7/f3tv02RLjmMHHoB0v/FeZlWpezZjMus/qZ1WMq30J8dmIc1iNq1S5ceLuO4kMYsDgPQbr3raOtOmNCpHW3XGi7jXP0i6EwfAOfjNgKRUd22CZJjOAC1qtON3BbN0h/v1dccRYdRchVKYH32WHhSdGZJJkF46Jruj7Hul+5UznllU0LzMqURKYzl9HyNJvMO8V0fUU5vhEReeEdyO3q48BWDum6UqieIyMESwmZeBDW55pyv1RA+A4uVJ2fvBgGcfsHCUHSDtqvydR/cqeJ6tsmZJlVyXvRQ6KC4prAlAZrMPNWY9zjHw8AyJ+f2FY1KqAiruPLCEJrIWoQgVHaBhAe68JM6bqg0zvHs0uy6Zi+7lT+zG3RdneZoBiJqnp6shVZmcHwuA9BJKjQC3ANmjIiQ/h/NYao2Kbo+geulhALUAtdaj0eU8/umk3DyfGXpP3z7r5an65qCnEtn0RnABLxE6nh0PcD73raCXQYlcIwiV5pF9V4WKbAMFFnjNOwz/ox0EdTVKTxiNN3OQN/z63FELuVOBwDqSSL5VxYjMoDC7U5XOfu9zHFYAE3NH6D4dU3/kCHDiYfRntlRFMzYBTTEAwPteTL4MDHj3bFAfA++HS2d7o8SVoxDKRrE+h7+DNimovra7GUZ3KWdjZqWIohlJ8gJKWA8/D6V1X15u+S7jWEcD1XiWQ6VNZAHKQJaDdSPwVJnZunUtvXeeezwN24NNBTEIsp6nCwb02WwUAmhVWBveHFZQtgIpfEjI4xOXBB55D7PUcT5vkSmOCd20YFMGRlKYwN+xvY8JRhagE5kJUXiJGrPUa5DJ/P85nst36dpvJNBHjE7cawR51qayc3Ete4Kj9yiJM4xUT1M/T3SuL94/asRz4vvOGOalZ8ZsSXCEhiVga4NZNdmWHiyAS5iv6+a222677bZX++2yvw4qQurXvMzo1akMY7fziJBHWQB3GKbQJR26ILiKGR5bddKmzV1sOWZIZy7+zqcNCuaOnKwqXMutmGE0EkC3WiZx1cLx8siiUKEmvh7k7+STLMeMzXWDshkZ5uYbdyEWGQKX47QpRTm8HGhTRd0LIFSkesLQe/ca6CDEmnMdnLDv0UCnqmSkNPp7aKHyUhXDt/eGYSfenDT+tlV2r/ZIKcsavJRMhbLEBvy7LyQX//n9wK/H6UpWcxAyYyQOZAYmkPBoPoSObtxHDE843lW934s74W0Q4KWjsEQrFUvDspCSoocMwDJ7ZuNay+2487K2ZiPJkSVa6t8tpbCLvJBfEZk/KhZxjYs3iEhApO68Dueb6NJsztfSSirWIhhMOuA4uoMpy0jze2v4iGuy+cyYGdow7M4tUaFT9qsDwuKTc3j5V1FBP0c6XSKuCuWLNbJBgDeHXJ3FWMdmmaULsB/kXwFgnkENABOg71NE3bMYyeeSeZ64RwjwcbYUQqtOWM/nyn8vXipJhTpNdbwi7MMRZVRbIXCMqDf/27BtBW97wfNgQ8JYx68cggBDWymZ7aPk9uVjOYaAgxIzmPfhYIRfc80FkCmqQOXfi4OdAYJ7WcoN03UfkVXy58KzA6PP4Meuig4+U9HIcNvKbAbp/9tCHjwjPYIve80ysVqdk7FoL4eIRgRZRo91EcGKF7tO/zJWYKZiphsuc8vA0bIMhdLuKaiwHtTf/eLBlsi8xrVWLwFdgwtjGBoouCG+VgMY83wzaBEBkepAl+8jTW5ighGxzMjddtttt912td9B9hdkJXdvVAhjdEnnRpkbpr+YfU9gFNWijpeOQimz1l5E8PWN/TEM4p3bxZ2TaLLoTqNMRzY3Z4v49gpSJM8t6wVi1rjHNaoK3moFDElGt2VXrSoYSyO9iHCGwx0E6ehFAGH5T5GCZ+uMxvk9q18bijIrAoPCmxsa69qDmDtAkuhw4u9brS4HzOOoSJb0MDrM8dqKAh04fa6sdXzZK9604FEVH2fHL17vPbwHirjTEb69quAf3nbyF/w4z7MvfqNMRTUg+wbkevH+BSqC7hK0lwZqmGBEQAf7rVYc1nF0EoJHZ4bLPLMTQFBVYZpLJBeowtiws3u5iq9RkclnsDJPzp4vXt7lgeRH3ShS4PcYPWR2Kdiq4tnYuHINPMeiz4iuSTZtHOfMFoRjI2CjvnBKLcbLHXsDMEaHDcNHCx7PoKCDsCzkT/uOvfB69lrYT8Yzfj/Wih+2jX1mzPDPH08MZWQ7wYjPcdmYBuvnwObKdq2Th7Gr4rSZwYCDcVVlJ3UHg7NzOSbxfCkDG52Zongu4/3QHWlUd2qDZC+CbGgYQxycEMFSvuk9OgKxxDXlewHXjBn8330wM7JVygubAF+2in2rsLPlOwbL+eOHTamiJfF/67L3e6rl+vsAUMHREWHZWwA1Ca6Vc6dC4Qs2wXQcIy9tGfOQTtbCrGyHl6d5OVlmk0QghfdQlsCOAaieHXt6ppQKiHORk0/lmeW4Xc/8xPHzbq847mUQr3b97hxHw5SA7jYFUFSQgYkL6rF45/t7PZLDHpAQnV3mGXyYkzbMeWGYwZHM/MU8xr7j87Epy45jzYeSIwSwIhhRinnbbbfddtvFfjMgWaO7uUUK673Docj0ezip7kCtFk3CugUBceYvwhHXpWQrvh9RUr+a716jGNIpZPROcbZ+Ic7Cr1P8eMfZ8aZKAqoKZFBXH0U9yu4Ryz6wuF24/DiWMgy/gHCehjJqLQiipeW9fnHCKiS6r7N8LUAHFDi8v8c//vjAJopna+ggEKml4NePI3s6xL2pCnYVfPjG3c1wwvAAgVKCMQHaUkxXfDPWjeIDRzccduL9bPhSeK1PP6bEvao4qBKvtrIsoTIYhpfkFCdzRx+DcMwDBBoGRj+9fh7p6FMJiUTrIGJfIqOxrtosz2htYHOlJjoKgta6c5AWIJQOHu+DAKRNdTQRFK345TixF01nprqTFLg5o78BwjFlQC0X5vzM0QYem+DLY0Nr7B7exvCSR1eb8u+3NjzxQ8AJmQ0EBexPoe4IHy428VYLyyDHwHMwY1GL4jw69qpoXn6SjTwDaLhMdpRN/m9f3/Dfv33g6cpmKk78BSZ/IxxFhROGB/tY+FjsW8FpuPR8iPWawB+TEA5f10W90We8c0Q8m8PvHNY/OfwRhPjo7M/xttU8T3fOWFXF0OJZAV5n6wPmsmWRLUjobEhBDPG1Hlk4LveQ3mXWshTnoiVYicDHzESJCPa94Hm0BTR50MePZwHAA5CsWVzPnlVjtkPrVBHkWDHTGgT1MQguAgwF/0EtykEDIxq2nYidAg4EsPteoLBUmAp56Tn6AaCW5/I7ACRff8u7fNlW8mg8xxSViM9HWW6CGN8UYh8BZJa1JV+J49ucC1WrQoage4nw5br85xL7g19RBJ3EPxjlja0NlOprABMsTqB522233Xbbq/1mQHL2AXN1nzBu9sj69Frm70P9RSWaxy1v/bTrv5ujHt+3eSzfpNeX+5CXbxs3U3YF5rmzqVhEzXyTASLyR1Wtp8vYdqOSVuuMNEdtOyKqHSBL5OIkhWPSjwGtgO0Kw8CzOdFdDKaRwWBJGiA4XMZz3ypJ0OA4vp8tpYIN8Lpw4KEFp7FeXIScjY92ZOlGXM8ww9E6thrCsHSiWuv4VS07n0fk+hwd6iU/AB1Hls9xPqoRrP2wbzCwthwibKRWSx4vYE1EHq1TgnaY4ewNUuDXSqcvnMQW0pzmYDUWEMhBKer9WUQuUfPlY4hml+siSQfY/97Dj/Q1tXk/jiivEXc8DjPnEhDQRvnU7MfAZoTdI7JzBfhajTWxOl196VMAgof3s2WzyHCaZ+bNs3CRPsnFF44ZHLQqzLNJzT8a19pBgILl2Or9Y6SwLK13g5qiy4BWgmF0pIT1gEErxRhGSGo7oOjNkutAgr3zhca8d4MLRmxUHRIfJBXPcoGlZGsJDeClQUNdyYpZgzfvXN5szIi6hLsIZhZVkr8U0tcBfCNYMozHggEfzcHnVnCKZUlcTGZwzI4WXJON2ZFr7MHV8ziTGqDFZsT+8uZzcDYwJYcvvnxE4gtLjEIOOOaQ7yTn5KCjNQcrylIyESpZqQrn0p+zVWUumn+OAfTWMUQ8ixiwhBmDWG99GJoYts25cq4et3JJYj4uP/oaXjNIuZzFsy62BCBy6KnaFuuFvB8HI0upGjyYkFk3XY4zltiYme8ZBhvdgVlcZUJPfs3Xc4DH4u/7q7RvqDUSjERwIzHQOf4qKLvttttu+3u336VTOwmO4W34xgkAsWlLdUfq5U38slHly998D1k35Igy5bFxrT/HBDvhvkVEMv5W2NAA5+KoZxQ1ziGWkrxjGH5+P+bGn9fLZozBW4ma4OXPMPPeFpUR7mgC6NDBS1x4DScGpBi+bhs+zhOtNTxq9XIxQ7RIpuwtHcutlpTXbcNwWKjW0KnWwdKBgnA86DAPdbUs8bKWZjjdJc9magpkbcMywN0Vns7B8qmvWwVU8ONjyzl49iC3zl4QZsiacivwcih3zIYBhZ3pg9TcnAhfnKysIjh757x41LnwAB795erJBoMglyTI2FGHHhHcyLa9ltbEuoqoqzoHJEEoPMsB8wyVZNlWm2mQyU0xP7b/TQIZByjR6bTEemNkPsj9/ENRwcMlfsPhiftMSG6gsMAY6OeJMQa5A4tz2Fb5VZnX5XQK9rEBn4GnZxNUyXEQjzyLZ/YCIK7cKU+MUZkOSHU3zEtIZ7CPgVorAdCgFPGmiloK3o8zP7t6tr0bFJSPlg34OBobqy7AM0YtwMbmXJ/W2ZOnKOfzTCDF8RsO2IpoZroK+PxsriI1ZOQrLInzKuijz/eSkOMFg8s5a+RMHDxbrsc1C/Q82Gi0VIUWxYSzywjk+gLepGB3NS4De/SIAo9Sed6qLEssS+BFBefoDLJ0gsWQJT+ePXvg9BESuPMeIUjlvFjXYzBos6MSqITnfcWR89nSmXkzg2euQzEQySOLkrBsKhrvEl+n8bzAouGjpIx72gUYuXT2DFVc9pHhx4hMZFFBEYLvflm864+GWgoeW0XrHLvmWesMZnh2ML771xQjb7vttttu+506tSOcESy9POI97Bvz2itk3RrCwq+U5d8WzvEVd8yf/8VIk++MeSlOhoZlZF2W769OaRB7CYgsy8kYRZSZDTI6LA1rtJM7q4AbbPTmOE7v0cLwGUsfTHKzfz5PfDyPjAqKDi8XAk6jI3D0gQY6g90Bzs/HSbnZQkJs1XCA5jAkn2cYfn2eLDEKxz3KDNb6ax8b+qx0BljawvllF/qOowxoa9hLgYng23nSwRszMh4+yi7Kfgle8mHCsp3WgwOBLGmo1ftFxBQLezd0TM7J6Zt/RiT9evfKJc2eGeTZRJYmVIaCo3HJPjhwaIOApQhr+EPJKVBEH4af2wmDsTO9r3UbQHQqWWvfYx1cFu4LcEk54rgJWYjwApzdYHbmHEXkN7vML8c2MzzHuGRZIgk5S7L82tyBj1Iydzf57DmJ34xZC9FoqskxUG/MGQp6/J/f3OA9qwiqKDpmViqutqg6SF8ai4qkM5oZNXdAiwswMKnKDApAaWyDoWxKEJnPIc91tJ4lUOSXGD782VGZ679IcCWYSelmLvENHJ1Sw8WBTYynFs37ySC8MVu4LYA+nqOLM71MW3DNoj4rOGivFu8YA7OqPzx2ZuiMWZwqisPBXC0c394HhpKNwjWFBPsB5oNjJCP6gYBcLJtcEpYf2aeLMSPQLUqxg37Okrn8aLyDlpLbkNBlFSzL5FKcIoNaHjiQKKMzz7zN45Jit3C3wmwBA6vamQIyMO8rXjC+bt+8gSgU2MALTLGU5Z251YJ/9/UNIoKj8T3x6zjm8XJNO/Rc0eWNS2677bbbPtlvV9kSf8eG42pBdOVbNxSogOmLTW9/bngI58Bf5uEAV+h09HE9zhIoA+DqUbKQ6S2crRm9hSGvL8u2/PwC14lvnRHmbhlBHN4d24SSuiSQC2WMl+Ewjz53s+SjqFDrX5SdsbFcfziM7aWEobWeGv09L5GKOcAEbM0d/JCt5P1EF/hBR0uZiVCl46XDkqT6dd/ceZ2100XpzBuQmZyYp1TvcYf/53c6PQZk48KQsp1X7Q6bO591K9gcDPxyNqdScFZ5DE4UicZ0QDPyHdFVH6f4NMJxDb5IHyw1wgI2vZQIfl/SF6C8OBIwoMGds2VthEW5TNxf8YXVIzPkmZ4JhpdzrN5yLualnAeSkeE1HssA9PXLFwfXf+2nnc+H/7uPgd6MSm3xd0dKoQy1giAZgKtJ5LNNIjESFJrPx7YpaiHwbqEStnBDBJJ0mbi2CFyE07beWTr5fnOlzkxSHwMVBXvVPJ+GhPc6bOJZj7PjODv5B/vmJZghWcsSzgKC/uAjjWHoZweE3eChQHkoeVaD68gclchL2Wisj/feLn5nSN4WJ5TXUvJ7os6DKtfj5HtsXTZ+j8+z4Z9/5TPXjaVHInw/HceZznzvdhWcsOClCIpRIS5I9ReiO5BqaiNkouzlogBXlevouAp+rNcMEechzYAAbHKG4nwsw7R830Zfp+CLxDqMnwMgfQIjL4M475tvEZM5JvNaKYEd4LednKvqggBFIxtmeGwFqupS6QVfHhueR8O35WG0YRgyZtkYbMpafw9t3nbbbbf9ndtvJ7UPciG4dwV0CAUs5AbXGjedy0Ycm9MaLcTcfIYZhoaTsrzsgbkhLhtgEqIdD0VkmgTNSbAvRXCcVIaJSFY4Rs0GyyaGN7MbLKN4uERxi5KLEcpeURrkrmdc5gC+7hVVFb8eZ2ZdeM1OShV21xabnJr4PbAqvlydNluc6jjW2uk5SqIC/MBJqOHQB1meEe7h0sAu4dkHNlVslfN0dlcOkumsqDhB1xglJnF9zj38ftjTwjsUg+Ch+pw9vfP0ACWIEfNnLMPIqK0Au5aM1DNLM8fkshYlovgse4KDQ13mJ500BxHR/yEi2KsnNQEAcu1oVTzcaR2DkenTnTalVzWfBYF7+0hvPIGHBaBYbsK9cfH/qk+6wB00f176WPhLL8NQVGGjz74JnjUTExQveYleK2szvly/fsC3rbIcRoAhgtYp4vDjly/49vGeCnm53M0FI1y6NknmrXufBi6YGNI+eGzRCcJMOFwstdJ5P+Kck8LfVz9eHxHqnh6yAp8qQ9UzOewqb/68eskWJlE9yrgi7xFgHOB8DSBLBU3cEX51Ln39iArMVa4eW8HwrGzzcssIksDno/W59FYgkxyFBaAG2Hi2nlmvonyXNOfeFGUUvz9bvidiLGHMHIVy2xnCD8Nw8ZfXC7Hlv3nx65/nv+PPCcJh2TgXNt9ZdNBjPZgDey8NM99bPJtcfD1EAKEPoDfLAMP1QuX6z6XVEH/nD836fLvgBgNJFHJobaQqH6Dem8TLSgf7wPx68j1ahbyyybHhw9maB0b83V6r4riVtm677bbbPtnvoLI1INB0njXKTuBlMTpLuMJJ+rJvjMZNL4227CNVNTMA0T8ggk3RayIiW7wOLGVGExgMdwLTb/ENNZywUnRKQWYQ0DICV1VzY63eVM8ANCHJ0dwRDYcs+Cb7RgCzycJVcBCzypDGudcO4bAJLpIgvzgEsUGHhj4EaOeYHJcB8kcchBl4XgVlK6P7dHNC9mNnDfhxskN2U8HXjURdHSE+OmvRY9yCKzLiXjDvv4eD61HBX3vDYyvefwF4P1jzXopmVPsMyWHfvEuQJRLBIsmiqwuUPCEHAnQiZllbRPOzuebguISTE8cYsEwx2PxDjrsB5AB4lqYEebtdCbgsJ/IItS3lgcZ5Wo9vsIVXIoiO8NNR9zUvQDsjyovsvaOgIzmBMKV0W5/cJuqvIccgI824li2uzwBLFZG9eABDaw2//PoLh2WRefWLXxz8CXRgzA5m9NziPC7rvW/sO2J02roZirCp6MfSHFGXdXL0zlKdMcFHDP+K4QHyaoZZvofMbDY59A+tjVsFPGY0Nd1qAYyZlIcK2pLZscUvvwyjcBQYUR8YpjjPkd3TQxYXwNJvZVnHq3t/ebEhgwbZXHQwS7NpwZd9xy/HkcBvCLDtLIuMDE2U3+Vc+w20znX4GV8tfX3yOgHLF9j1/i3/bTlf4tfpfUBRXR5aRTDUgXPzJp2RyRDgsYhjmD/TwRWJEtoIjNg6eS8TMtf7sjZs/fv8/PAGqKVQ+nqcJEx1b8AJE4Ls6Mg+vKmrdGhViFhyh4YRTIkA5gGfpUXTbbfddttti/12QAIsUoh0ZKIxXkSnAf5dlS/zs3c60mHfeUlHIC508aOe3fKvwKs3xcQFgULB7AY+vxekcmQ9uJbrLkFSJbIh4RBG7poZ2rMxI+DE7JAbFZlOXzg6kdKP+y2queHHmOS9GNLJTY/qxTmwMctbtEyQ0gdJyXXzKnYLnoBiwDMNwkxGH0F8HwkeIMD7s1F+dyPICTWlbiTxNpt11DHO6WjE/Nl0UDMb4YpVUQrCCDOSh8LmZgG26K3oMqbrvFbVLN4jyX1Mx9eduSJUKYsGd2bXyC0zBjzw5iT6AKfn2bNePfsZCF7CvRa+N6B0tAPDiPia8QvyQHpMZUoTz0aWyxIey1oY8PI6ygt/9QaV33rj752cG5Cs9X4B9AKhipbN80+gvY6pJXiIv4ea1IDh2wfLfrZHmWNcHAAFTlxq82UBVDJmX5Lu3t4Ys+neyl+qpWBYA0xmyaUAogrNB9ezGu6I2urEC1L6do7B/LlfItbLUIksghzL+MgEbBGdJ6geKFpwqgcf3EmefvmKjCzHHSD5fgyD9cmTCJAUcrmRrYgLD4eeh4vsGNCenaVUhSfrLjv+g1RsAL6owrTg8HdPLYq6Kdo5Uua3+7xl0dN8OeZDva7fWQQ719j81eLZXwbYh2HJTogAey05x+ZroE+UmuCAWN/y2YqsSj6bmGDqcnk6xx2YhHz4e8XWiVlsnfveqazId/1ShmwMSDDjNLLxZ61895oFqGNp13E2mJmvcUPZBDaugZDbbrvttttov51DAldxjB3mxSZQmftXdmiW+MSs7w1HO74jQoUlK4pN9Hq8l3S9+f8V/5zBydCDpFT1bIe5g67DO1UXsATLWMIDi2i6O2hGZzm6tRdTvBVF8c8BgBX254grOdpAHz0zGUHaVWCW3Cz3EqUM3bMDm/MIIopJQOdjKiw7it+zlABZ/9w9a2PhFbhDE0790Xid1YFHfC/uhRwSSz982Hf3cCzxU8d04W1OGDC7zrMPiOVYTDKvhOO/LJr1dCG3ya4HkwBeEIpsPF6UGJUiaH6P6Tz5GIezlXMSazLXYi7JLNEyn68oBxttkm9jXGKNCJD3a+Zk7Coe0adcrrnDHuAzngs6U5a9U0pRHGd3Z9au1wzAjDLP4ayJUVntD18f+DhbRqYhksIBmZHyM6+rMOaCwyieBfFxdActScVGx+xtU2ylJOHek2aeWQDMS/NCXnfNaKgI3p8namYS+OzyUterJGF7CLvVt8PLe+LZzGMu0CDm0L+fSlP+d2YKx+SyzEGdPrUHUPatZs+gsOlEc96Ggd3onc8S77gg31cHpMNBZZXJqVhmNM788iqlI9sOBhT2Nyf3qKDuZFE9+8Bbpfz6XpSloJgkcki8q2bvlUBhK3C9pAtySOzyeJqvdf6D75gAm5f7iLQgCED25R1jeVxXPhPJTDNBolDJTiWzEaVyXKIHj4mXSPn1qQPm1qcUdd0036FXDtYywgkqJ3fGgAv4mZlCXn0opYlIllZ6PIjrw3wv2lxspEiS91/3rdtuu+22234PQBJOs/8znIHvv3KjdGIGEtMZ9V+8lkDEcaL8aAmETu2edW9ZQEtYKk+5UxI8hG0rOM6G3qYzVjyiFl2ft+icPsxJjiSMSwd+PRu+7hWbCN7E5Vsiym4DUjy6PBg9Kx7Zz21aZizUEGpLmJF7YUTTDEmuryJ4P7r30xA8NnXSPOvdI9L6bARhoXD25nXrAjbNK+5stcMYtfRon8L7Tvj1wlibvo79RW0nQIlPPIGib7oapWqU3cyymTYSqBTPoqzHH+4cV70upObsVfNMTzh0A5OkqqoelGU52gwzI0GlIMZXsr4+CPkhXgDxngfOOek+JjEfL0OQEVTOX3SRdolnWzqSKzNsCjqwEHINzMGt+Hj0YfilnRwTowMcTniUU0UTQ5LSIwJs2Y+hFoVEueN6rdOXTg8qXTQRmA1se2H3egMwHEh09s+J53XfCv7gSk9PbwgZ5WPmTlsq0nnfkGF01tTXe4CITRXN16vJLGUKINHjvsBnoaq6ItdsEhhOZcCscHrDx75wb2wR0fD1u757oveNmJdIVsG30XNtAuZyxQ6MxsBxdJRiCAy89lEZw7BVb5AYIC8yBXneeBdY/jv+biAXK7gXcx5578/R8Zcn8FYoynGc3dfbDDJIPNt4LdXzk9AbX6vZJki1ZQ2twGVVK1if4viz/7u6pHNUYcbzH5nNrXhGbcw9IBTNQo4c3UGMnz8zWebd7reCIoCc3pzQQUBmvUeMqy0BiPmCuMTIXizkri03rzl0s98M/Hnne2ffawoCqAjURVbK905w22233fZ3br+bytannxdbN9wSzQA9iq++CcZ+FtHldFJlLXFaIuqYETXIjLb5YS6mvsOak9BXWeKtFoxudPjCYw9H1x3DXZXN18aAuQyknHRSzQy/uLTs6ZuVCEu0NrhEbwyORyODSyOgExq9OubmbzmWsUkqXMVKuPkW51IEL6LWucmZO68lxlWD1O/On0ca00ErQS4XNGMJUEFck+Um/WkbnV5sxnTHoLKRAahgrTgK8lhz6GcvApZqIdVyCiR7yAR5ujkJuXfLyCU5NMuFLU5TjJWCYJClfDPbY3MhJaE/5gXwqHc3jLNN/yOcxzWKHD/GopMlMAwHlJ5xYLkV0o+TKN3Q8snJAfiZR2WPE/VO9aKeEQsHqAqqeQYGy3Ng/Nym8zkK52364Ha5hWjepxr8iOmhWx84veauOok33Pmqir0UnG3gOdgssI9c9cwO+PyKEBDHcy0QPM9Grkdcz+B9xvrmL4P/ofmeCC5T4FZZ7gUW5XHIRoMEcvHCQJKo17zrFNpgNjOvyTCJ8AJYZ9YqgGFmysYEytlLRxjVPxu5H7EOcinN5etjxr8/VHF6c1QzgelsCBnvx9U+esdHay43zmMHcH+rBc+ze0YiH9vM+l7W3gs4W68vnoN8ZzlaiXdyDJC9XB0bwA6IaL4D8r1ifF7jF/HdPiQza0KUCFXBtheMPsjLES+HFGZ+tlKwbwUPB28NLJXLsZUpAPf5xi6P8eWHS5+T5XdqwVczD3bwHROqZRQ38DdkcHv+RVmw22677ba/T/tdSrbSVqdq+V3udb5RkwjoBcv+jo+XfThBWlzJyXVun61DqlycvaxFjpL/+K5vllHGZDYdC2CW+MQFi1iWtFQvaQmFJ0au2Ucjos8Fim1TvB+G//E8Z6Q+InYC9NFxgk6NKqDhNBojvNanAw9dQIjR2eneeE9AvkM22/N/G6bEbQy0gWOhQrWjonTWnq0zYzJGyv92Bw6i18zTcJASY9D6SFWjdtnJZ5mGeSlOEUmZ4WHsyF7c+Xp/Nuhw5ywLw9ljo6hgV3WABwIoRMQRSYwPsnrxHhgTwE7gZCAINDOORRVEd4pjDJi6M+njLsDiZAFQ1oxnk0h3mPiRWK/LIn8BEaux5EuuykWx7F5t4QzFfERTO2btyCnZi+LDs1+xjPkojRSU6MasV1xDHtfmycVB33pNwyh4oC63WryM0QA8toqvteLXzi7mXyu7u7OJXvSBeCEPwx01cF4jc9OEym4PdywjQarGjGR3ABnzm+U2Ium8Hq2jVC8jexn+dS2LTiAe6yMEFxSS6mjxuxBAmHOIpbkgj93PmfGiyqCkAEWtOrMwy1RXJ8mPyKoE8FkjL3H1fqFnHwRgAkCMwtx/xeFHHmJycfzomV2OksNSNZX3EpeLQOLel/W6ZkbivyqydHWnyINgvsNeL20NKkUPqJUvdHmcBB6IQMqY90HVq20vDoAFQ0tm27W4ImIzPGUkQC2YgZco+5wA8HsP4fU+sVw333ETHMd773yO5PRFNjSyPhqlrzBszkUxAbTeHJLbbrvttlf7nUq2piMiHpGMNPl8hwcnwWOVwyBVs8Nt7M2xURR3ZjUiZhnNA+BRLiu+edlgqYs7mpsGqLhKtyI2O7/e3of31CDXBMLSmGhytlc2vhtjEqip4DjwAW50IbELdxyzxMIBT/QNEXESfIApj6qKg6ZSlo5dQqcZYti2QlL6HG5ulIDL6iIVd6J0agygikur+r3UIqi14uNo+Dg7HanBe9XBSG6UlZkBp82Ggl59leUPEWmPSKyGTJRf+76XGYF23KnOcfDBYCRxwCPyhnkIj4LnuPG62tkB9Trs5W+Xn91xnY0G14XqimQ20OAZKi+fw8txwnHmNSdszbFc11POSQJrwMSWjJT7kxdn6LN916E2rp8A0DEfuxZ8eJ+LAAK63EMf5KCoH6MsfwtIaRJ9XizLE8XP0QecIF1wmOEYHQbD2QlqT39W1cFaGwO1lLzyAFTB74gyOPYq4flVKQsdClDTATZ82Sq6MWu5doHfi0JE8PRypOrzs8Q1JiidzXsWZ3mCkuBysYRmKunNpnzxPYf6HgmJDJ26ShTMeyY5xyRKki7nBjLbEwIPdGD5IZN5zrAICGj0BIxoxXp8W0DmAjzFKHYxPO0qWnFEw0JhgIRNDK/cmbiGrahnh0c+GjHOADI4UouiYXw3exDPpipB5mV9y2xgmQIYmNLc8HdivDP4rjAHr+yYZDCcR3fQQuARjv7IsbEEmKtEcwC37z6Py33GK+0VpGIFnMb9RkqhNHQIHQillUMGuHfD20axgYbbbrvtttte7TcDklqKN8eiM60qkIismqUTOh2GuemcLssaJRUFMxJP3X7FEAcv6r0Y4EThLEsZGe0OZ2K4FzCGOw/VNzXuLnOT6jajiZ5Ol24evQQ+jhMhY5vO1TAccHWcItil4Ie9kk/ytuFbazhX5SNwc6IPZ5eofDgT5kRwFS/r8QxBlDFELXVsgtFkMTY/Zg9mHTN9L8kNFcbsQDjps2uyeQ8SdlAPV7/ZImMrTtAcEb1ERuKXpI07BbyerZbZzAyrv8/o4eZN9CIaKhL9ThZCca4Z5w4MpFxykSgWiqNaRvhTRjXWQjha/vGigiHiZXoEwnWjo2vgWlSb9eQXJwmTpzGvcp5r/RWHn06kLL/zC0b4l6utAGvzqHsAchHyKD5GxxeteBi5AuGMs/+G4PHYMTp/H1m+RTwpz3+OkWPVhU5VgUd1O/V0N2VWr4vzvgSz5EdYijgGQd3h1yJ+H8WB5NmHq3OBgDKymmbYtMzMlpFnNAz4djY2/PMsXvHnoHcCe8DXvIAN60TxmjMIUIq8b38e1inzY3UjAVx9URtcye1sCaggFLwI8JS9VQDAldmqA6Y8ZyydWHtVcTr/KwnOy6JZ5weZpmCpYdxdkKlzzaiPCyxLEVUVP2wbzjHwPE+c3d+nS6BoRNNQH4bsxePHfVTF0ZEKYzGe8T4sS3mfgI1d50XNHyOT2TwzqzoDWLZ8J0QCIls2PBv6UAWKYnjdVWQuBwz7VgDheqUYiJ98EDiG47+WZ+YFymXErz/a/MgloBVDv4IzYTZnU2a9AzyPbjNz7wgrM0U3qf2222677ZP9ZkBSVNAFkC65wc6Ip6SzGFFCYAIH+As6+mlkdqGDXI021WBU52YVEq0AS7uK9wdJLoA7vnBn5TXC9bodmM0NkI5oOMt0CLUINlFUERw2XIXFUEXxh1qx14J9L3T8ml1PItfoYoxRByCFZSp0pvlnNiYsWaZlRge/9Y7nMRK01KJQZe+QD5ftjY0/I5LR30IFZQj2WlCk4qwDT3dSVLw7Muj0tMb7W52KvJU1Crv8wfwXBQSTZ+vZQG4FAlk6bYzCHsZIcxDTi1INKs6hAJ7PnlyByN5wHVg6BmtX9PT5PRIdnZ+ZWXFSdIA5uEKck+6hzJpNR0kyUxLHHHIFS5dRivERBz5R8xWLLI4ajpMY1spFgWcB/NxdCLarl7MFm6Vj4OtW0GyguTP9cFJ49yzG5l3VScaNcrZwf6d078UkboPzcfSBY4wsNTElL6iboWEJOXvvhloUW9EsFzoGVYbiGYhMWwxXlOhFxDpsDJZ1QVjy9qr+FkNKyVs+B3kL7uiak+MndJ2FW+YlN/lu8PmqXuMpYIlha15ONiQzJUU1G6ryfKHANEu1vuO35nFrdJhvDXVTqoq9zMMkvXO8TrME+6+pNvPMwUqgLwVA4Ttzq8U5V+Iy25jvVT/cpiTbf5wtRTGaA82xKE3FIonXQxDQJ0H96sCH6AIgKGUJZvhd5qPh47RV8pL6GOTjjckdy2fZz108IBSAV/wdsD6/V+iG5UVm6xDGbb08zlPcIv68vvyKKr7sFU9vMMmgljf+FQL05s+5eMr96cqImb277bbbbrst7TcDkvfjhDqBeCWLf3rfuwe7bgRFJLuEA7GZeM1zVVifndIjOs7yAI/K9YExOvatXEqggsS8yitGVE5i48lL5XGjLwHADudf94rYCYfyvFUFrbsuvXDj7Gb4OJrLCssMwb46e3jZ8wKYCM/3MPEN3jfAJMryXFspMOt0Zjy6GXyP4WRXgJHNIqGdrz5mA3sp+GHfoCJ4tgZRwTmEPBIgj0lwFlmleROdSG9G+WQdQy8pMyxzQGC4aXAoxGO97D1xdjZGFAeawT+JEqk2BnbvGD8wS5IMM+IfRPxQUePyY8R0DUKamdfPL3XkHqgUYUsHM2MJnP9OA+S+ZGPWKHv+O6bUwGyACB61wLxTPR01pPPG0zsg0hgby/EvKunsFQFr+50bpACeZ8fDAVoz4EsteFN2U//5bHTQBKiY/VoiYxaAQB10hNM2YCi2yBGr4OfGDIE5iX74cyIujQ13/NWAf3hsLFMxdjxvOQHTgY1oesgmh8JZPhv+XKpzB/gdzc80l7cupeAEge8CRehoJlS8uqPrszezGFwPm6vOmRFUH62ncELwQiL7kO+QJeIemb6Yv8iOXcR7/Q9amJFsrVMZb/v0yTyWCJaSz7n+GaCZ3JhaFN37Y8T3qAbmDrxnGEJIYYyRfDuO64jXIEQE+8a+GVFKW6ryGcH83Xw/ecCkdS93RPLU1oyR5DqYZa0rsH9sBRWCXw6uOXU0lmIjy2yKZ13MnGu4ZK/XrEsugVhcAYCWj3wnXnBdMfbyK7d9K/jxsePZ3jNzA7CskaphSjVAVzVLxbAx+Uq33XbbbbdN+82AhO96Syfvr34IyJd7UV1KHqY+vIHO3oArCrmiT3HAA/hmr7Ps6DgocZnARpAv/sjUyFrYHWDEQgMfCah4fMHu0c5hA882UHdvsgiZEVh6KPj5OGe5gCyOpV9r3HNIdM6o4ERuHfAO4BxHNZeSlDjfvF4VlmTEhhwnGEaZ16KC0YH3s+HHL2+wweaGpw385XmQM+LOaDiJgJPuHVRZx+fNHJ7FCOd5AV7xsfy+zyPHidffvOzD+bw420j51ijTi4aG1ZV4Ti+pCzWkOOaInhDCcevORYn6/E/9aQJkxHEiO6LRVR2JGKLvQahsfQpf50Hnj+ku0bMHtjn/xcUQRmd03bwpaACTXB8OGNoYsOY8CQHKXpLkLYLMVjQbqAK8lQpxp/3wv5GcPlC9zbtg9kWQzuZ0VQRamGWxAfYw8bmBeqO+UO6K0qZhmG4wx3FXSk8/zfD0/hBrE031Z0CW9RJlkhGnz9dDqmthZjLcYg3kmMvMQrU2XH0q1Pp4hWsE3oDkhkWX+00L193ZcSII3pLcibWHkLAmDsknsevzjQQlEVkHoifPXIezjKwUxTgJSkpBPjffA07Ba4qbMTDYEM0bUQQ6kCAO4PHaSYnckL8O0KV5LzzeP7zt+HY2nGBQ6BkZyeI6Y86VW985A14Oq0QXrJq1PDfLTSVBjsZ7cxkLQxDkBZsInufAcTRIUfKDNO57NrEEWO7Jvh6xRmSCNIns50vvFExy/7quZoZuGfz875IRFu5F8Y5TEXx440Mom5EWdcVDUUAMmwjGEBTwmk7vU/O6lm+77bbbbvs9AIm/5C9gZAUni4MY5Q4lAIJMUq2BdcSD+yt2FXzVgncb7E/QgpMCwDerooKtKs42cLrcqBRGNEXp2IqBKjhjdnkOTko4nnG9DHK5UwcSioeYZz9AAqeDkdgHO4yytum4v9z/d4YkouYJjjyeWkoBikc4h8F0djYf7nDse80sEAQ4TptOmTcQg7AM42wNBktJ3ffzRAGj92MBeDPCR9MoNfBrZPPIqdqTCATTyRqDwGolVwNO/B/MPiiA7VEBoQJXVcVwUCEOACkPak68neV3qossb0TPF6cWWJyLiMQaHdwAdiPAr8z7Mkxp1Jio3nkzEvUhK2iYUPIT0BaDd3KmRCvMcFpwJPiBSCIKpiOXWRuwFv04vExNFZoR7bleRHgtxUtVWu/4GCSBT5Uqfq6N4Zwb/4V75QYnyessM2pxcYZLaVQ4xpE9UaWTBSVo/LA22fJ+rMTbNvkCFuNgk/C+WvQAMrued86tLMDTeWVtoBtQ65wSkyk1vAY78jjupAfhOJxnGDLSH9/Pm0lgOsFIZrYCjKwgJJ9r4LK4MA9Vt4LeoqeOXu43nr1YB3C5dB7duRjreA5/Zvz5HzaSgxROP/y9UVTxw1bw7hy+99Zxhm40gNaNTV2rOvAjeBrLWo4syLAprqGFmZT1Hng5PGcfgJk3F/XPDBgq+A43M/z42Jh5luixwzHRKuhebibxkANec2kZjOrJ41jHXLKpbAD0leQ+19uc7uvan8GekPltY+Bo3HOysaYBj6L4oSr+crYEMc+z47EVRN1aP29Actttt932ar8TILFLxHiNNJmTIWvVKTfrkTU64YsCizFj8YCiCtAiojVYcqPwTuTTqyMhWSV5C21QkrMUj7D5TiHEP1PyU92hQ3TEbtm8TEs4a8C2adxolvxE2QHwQnpc7j8Bx2qLc7TiFwGd+epR2ciKDBtex+4RQN/8im/IRQVvu2AYJX5jQxXQoaxq2Iuy/4Yw69Q6JSTyxdIAADpxSURBVIAfj5plbuElC5BZBqF3PUsZ0nFm1iNAU28jla8kNv3FqRxGB3LbCt68X0AbVPCKJnuGmb3g5LhCmqsgqRhaNCVzGwDULPkjUaYU/R9ivnk5knNB8vJUw0mIsdZumGSDwnU9p4O5zBsA5yr476L8EOSDHJ318EVmSWCU1kTtfXIPjJmqIJuPPqj65oRZFSQ3p3n279k7XIcBKoK3UvGMHiDCEqTu91qMpXwnxuQZhQPbLecvSqviMR7GskJzADPMOQbi2ZB02mN2lrmMBSk+acISzJDNXYYzuTwrQFuPocKyrXiG5eVUcb3klsQ9SM6b5XcEIuyYHu+AWAPbXi5r/nI/E1kiszFrmsTXyBUCIZHyjLfPd5BslANu4dSrQJNPZ2jngGyencp7lZmRtgV0xTsXU12tjcGGrio4Oh3oooLHXnE8OU5n1MLFuPp6qiBPo3US4qswOzFg2ErBpgIM4OidQSVH12sWOGahm30Ch7Fmuxkql7VnAPmeq1BU0Wx8Sglx9ZK/KcAQjUtzW8ggE89dq6YSWCmCXSt+/Tiv6EMuM5bvUjPDl33LEricwQhs+c1uhaWlbRjeHWT2PvA8Gsy8yatLyof64W233XbbbdN+MyC51Oyum7NH54rzO47WcZ4jI5vimRJGFvmdIoKv7hifw/Ah3QmnCmzc2vZS8P48eW7/f6qCx1b4sj+6RzrpKAehcLoDgm1T1FqcH+DqTB5Zi3rl1RdZa/xXizKElbsc3/nOx7MkJhzliNCWyg3xdCWclDI1LykSS9I/eTOCfeONmQMVvJwyyhnOpct6kJu1qHNs+Lvu8quqnl3y85D8PKOPMF5Ts5HqOQEoDZNbYi87+15Jdo4xjIgto/ezXK4UdzYM+b+QlYX3xlj8B5gxEyQi3hk9Rzqdk2GGfg7UrTjIMAerBT3LyHRGuf/a/C1/n1mYZf2LpCOvhevlBKVuuca8HMvvK8sLHdyGeIINI4diEGwdR8djL6mqVhbS8TCkJLR6qUhkIjYHr18eO749n977hZm06G1Rsxaf4DvWydrDIsoTh4GqZICPGQeBz+BlwnMNrCDAbJb0qQi5ERefnXNWMRXOApiI131djhmlVOOasQxe1RooSVAiHMPhJV7RI4dXvcg0h3O6OPg57/kWiZWWK+7y73lfL++Gl7/BgzUteTUg98CPqTIvIPqIRMZpqmZ5qWc8p36BP+4bntK9Lw8yI7mp4BzD8aFnvETx0Sd5XoU8iJBWPoJjNq4ZL1FAB8Ugsomhk+lDuQswV2mzXP9h3df50wELh4TPxOlApzsZvKqyj1BkfIz8JaoALmXDJgkexLPovbMxIwz4aA1ezYjoTB/fnUCE17E/KFhynh19xJqwy+dLUQZHjMpv793wPDvaOd+9Zzc8KjKQcNttt91229V+MyAZoVCEuVWHclaWNfimGeoi5hGvdKPdaRgK/OxE4KgNjuixeCRzKwVPbVcghBmzFCHgMAsCvDsvQQJdsgGxqT6dSAlc5S/XplhxqUBIfs5NiyVE05ldry0ismsUNf4gwlKEWfYmUCnYPFIowgxNqEt1Y9RtCDfZGYmcQeh0eIW18M0jmk3oKPQGlvkccT3T0YPx3or3IQiJTzb+8nmEpYMjAbAuY7XMid93c3Wc7C4u/Nvx0SAysD8K+6SooIVzMGZ5SDj/sZErlN2O/Zw9QCGmE3tRcquapUriAy+A8xo8yilIqdnrqK7rbJk8XyNFFR3hZBj2rWIS7A3NGNnVQacERs5LKH8FAI5yNMqZaqqfdWNGsXqTy8hoFXfKuhketWBXoAFJYm9gv5IvteBoG4adDkglo+pXoeXFBFceToLMKfs6Pbf5mXWYkhFhhn66PGxURjnImSVKM9OV68oPmmVI6+X5/K5VOb0PVGj2LUF+P9b3CnRmP5uLYIHPd66AF88xrlFleZ94+WeS2pfxzEaBLy7ozMhMQvtWS36snT1LWaVQVhbu+Ab4GmYOxhbQk6ex7CNSVfHsHc8xyBuCopaCZ+8QE/z4tuPDOsYxsG3qYgos/Ss+tmbkjg1BZrZ3VYoLeMPa4NrAWJ5pg2VOw0HgfIdO7lRwbiBwRTiJ7cCliBU/vu0YNnCcHe+exc4u8WOWAdaqBLljkvtNeJzz6HNsY13nC/wFRPp3AL4P+C60fAcNGODPr7hCYom1AcPRBtoqtmC8jt4HxBgEu/uQ3Hbbbbd9tt+eIcF0xiPyfWnSZgNHcxWXMjePlcSZCiz+8o6oaHHPJEpO1ID3caJUhdrqD82f9hrqQ9wQs/Gae6uR5i81iOuWKf3YRZ7nQK2SCktrLwuFLFkXoAzB0aiDH1mDAFKQUFW6lvrA77lsS0TTGMH8Q93wVQF7+4L/+89/RjECBANLlADgbM4xeI3WuhOsIF+i+eZPovMatTb05s6Vsgv3Ft2DBZyvYfjxbYNA2BjP72vt9bGW2726tXG/dBgYPQxic0QuHzsbNR5HR3ljpoNzN6ajpV7jr5N3MKbAPwAe5zxPRnNBaeZx8gJKpayqeVVKOMHNm0PG1QteHKf8/ed7I4jhT90BgIGyyj9sD3z0E+fomYGSqtiq4lEKvgk7nW+Vzl8VOoxRrhLnG3Ag42PW+kDxNWjuwO2FWZG9FIhx/dHR5Bw/WyN4UcH//seveD9O/PRxUgmsTI6Q6DXT0ftAIQHh0kgxnrm1xAzABNSXcZMsuVubWQIxj/P5B2ZPC4CADeDaVL+syGYWkYX/xAK80wbONvuqkF8DRJnUAjEwurlk9gva+DzFfpL5q35SAODxKBlsQWRqfOK6e9vzjSQLQFqCB5cxC3DDay5VYW0pQcr1Ns8T3w3ANh3gQCcs5/u6bdjgXdVBjoNAIAP4w2PHP3z5gp/PA7+Ow0HSQNECc1W6UGLbi+AEoF7C2o3PU3Zcd7nnMQxdDUfrKVqRXdr92pxTv8y+3yOWAIQK/vhlhwL4H08Kh/TuWW9fC81jEqUqWvRhEsk+POgsCx2+YFJu2wfw+mwHgOa/yC8UtNYBb7Qrvgc1GKo3bNy3giLsnZMNZ9d1FKczZjvLpmx6e9ttt91228V+e6d2cHNVBxBZW+1mQqlL6wO6cTMMx5HOHGvtI142VazckfZmZJkpWXaRT/Fr/1x3kre64zW6ZT8KVUFr7HEC5zTw2HS4gKmfH07a0WfNfQSGAzyJkHjeh5Ohl+xQbL7DArjNa44SEiz3cI6Ob8cTvw5Dfz/xy/vBcoAmeOwl5SRVvJRLKTsc5VzAjJ4+W88sh8EjdO6Yw51zrQqF4Mcve5afnS6l/NgK9kKFJ/T0cbKxXYbNV2/r08JwToSZk6QnsDNjDf/bo3rmzPA8Bq9TfedHKOdw3KpwDih+4MdSoPVGR8RHU0Sw78xchKJNcBZifa29SwJdfuIDSUTWv+9A9GEQb9i41YKiik0Mx4i1JKnwdphBzPBlKx69Jvg5rOfxsuGj1+xlY8Nu5HD4dQy/1tY63lTRDBhez18heA+OzmCJ41ZBUOmcKAHwVgre+wCWhnlxDeZAIgY+It8RPhZwDa3E9FjX6s8CQKDfXRItyNQGXLqvx/E3LT575p3dSfSGUD71dDUw1QnQ85qLwIwN/LgkDaWUTE4o5julOHfsX7Kc7bgp4f0W1ZkNiD+9ZgbXl5IsgxMHnigsG5HGOhuR3hS5BlMCPMaXZQYWIuAAm9mZeM/0bnhKx8P7ZRRV7LXgwwMaAPDr88BbLUCp+OnsDLj4tUWMRoWS0tGrB0bVvuNwTgrmewZiWZL3PBpGLXjbKswEfVnrMdcxTKEAluvLeG2n7xEBYqMBrPg7b53J0Wdz3imvfZ2K13TbnC65zI1ZPAMMBtStoAA4ukFFM/hkNvDTe2Np7MAy9/AeQPNcIf27CnHcdtttt91G+106tdfisrhZ6sT3cgc3tq0oLOrrs7zBIGVG5WOfIMmRpEArdD4e1UO1vmHMjMeMoApCeUYgohiu9Q9hCdcwApbWxtX5isjmcKc5+j1EBFfIgYjoXW6CixNRiuJrZebFMOv717jwygsBwsmLn+NeBH95P8iZMH6meslA7wZUqryEBGZrVCArGw8Q90hcJDB3TON+upf+bLVg3xQfR0uyZpQx1aJ4bHQi5sWH+8N7DmDYV3ngv2YCqNAx/eiNDkPILAvSOXx/9/4D0XTOwRwAL/URPJyt+uwsSZnOg2d9XDlHPFMXdeUivii9bGi0ACOzlOh7mIMKRd608uLd+I/DsNeKr4+Kj9bx49sbBgw/vx9sfOnXkhmJQTCxK524BoHYFEqY64MnqsHPMTr15zCcY2YkAZbhvangGwxtdFR4A8GTznkbgzX+Cmwi+FIUx0CulUcp7L2B4Y7nwHkOqMI7pPNckS3sDjDHYFlPRH+zF4SDMBuzLEscLPVmWdpTAyj6sQj+kWVdmqpTk1cADRGFyQmJCRE1lvL5eVMKWOZ6EiBVrajKFYT3uEcutpG60m4DWW4azxKWZyHWYGbU5ApiReQSwIBd12/MffAaxC+mCMn/Y6z8kM9Zu+jdk+/VeJeq4Owd48l3wNfHhufR8e39CSmKP//6jn2r+PGxQzywMcbAeXQ64cqeJAbyjRpwfWfZvP8ArQZmbfatXJo1BjANcJgJCf9vNCsNWfJNo3ySwaLMXNSZiWHWFQlYJkj0sbArCT0EJ167xMf7fB3UKN1dZdfP4dk+Yb+n92fDr+8NyyPrX0YGf8TRnQ2Z75Ebj9x22223fbLfDEiyS61NjsAwc8nJSRK/RBJlbp/xyzVaFk4OQMdFU/8fEUCkG+FOAAPsg034hkGFKltaqmctfMPrLhVrU+lI3SmZ9d4u+RvO1Hc2tzWKNty5eGyK3aO8dSibq2WN1OJExO5n12MBgHWqifEfdMVaH8wiDP7c28AXl/7tNmDd8KT4cG7qu6pvwHBNfIEIyfBf3zaqxtjALx8nvux1IeczQxJOXJRNxTWve27s5xlJz/mbHtp0xEgcPxtJqgjekc2+GsGloTMqU0kN0xHMDM8ydOlc+MfZ2VwyEh+gQ4XlI5xfdwBfSALTzWf5XNE1ar3ePP/3h8eepVUf7x0ff/4JULkoSAF0NLcv1cfD8BwEJRXkmAATGJtx7RV34gVsnhnqQyKTVD58nDim5AuZEUhsYwIiMzY93IUcnU3n2t39Pr+6YOtfDjYF7B0Q1ezdwf/NdbzVgl1LRqM/ekuQbjByB3zdt8PL14xZEzbxXECAzl4ZYt7DItfXnBhVzVJKG1ynMT9mPE71dfbaiybWSstnf4KKII9HGdWrwwpBrteoPjMfjxVA5nngIHYBTeEow4DWWH709uUBs7W544tfKwJTRW8dUnXKUOdV+5qJyA+A2VgVmYHuoxOkto5nNM4E5X1b6fjp+cSueimF3Ir6e1MBJ8CHMh3y7OL3aoH5csJEgFq5LwSvKcYhwDC5aZaDI3HP/p0Q2RjD0I1ljVU1MwwBEkWQ2W+zWY6a68cBbwEDXNF49OzXjE288/K58f+KILOPpSj2ovjLtyeeRydoWTNu8fqLQy/lvQBSLfK222677bar/Q4lW5ZOg81/paM/P/VXvodlE/b9qfjmq+JRZbPL9y/B6mVPa862zuNKELLnRqMiGOJ15OGAQFC1ZIlMbHzTKZ8O5upwhJN8PhtqUfYBAeXmq6nr1K9OOrCw+dOxDcnMwxXC8iRGtbBf2pHjUookWdM40Dhd5jhUYKgo4w6AWWYASKR2px+KP7zt2OqUojz7QBuDfUo8ArnyKqLkJSLDquId3q/9FqIkSuBRdL+ZbVOE4mV0IgeQGZDMki08pMP5FUUFpzH6LCrQQSdb1sUwDO0Y2B7R3ZsT2DuvJcYaoMPf+1T9CVAGYCmNIycj530Bbo9a8BydzhJYasaBfFnpDqLMZr0/wLKuzTMFLaOmU0whGlAe8Gi6X0NkB0Id7DwHfkLDEeC4GzYTViOCkWbrA8cYyZk62sgmbSJekuJCBoLp3Mm8BQYbPIMYcyXKJotn6yy5csf0DCUhIe9i9PlMDrNLD5AowRo9CNqWNfvW6bRGpoSBiKkoFc9rPp62lMNk9mSZiFCMi487mFNHGTENHuznfHimLpxUZhGmc51wYw0s5A/epO9kWVxxnpZ6GR+HdHlPejPX+BzABoBwVTRmhqOnhmR22NRIOF9AYE6cH7oPwy8ffI/USh7D5LwBz9YpEb40UYzePeuYBD8pyixLKPZBLj1I4iJE5pzEd8UBXo6TrKpu81mLYY37eXPBiF0Knp38KPVeUgkKnDGuJRrqSmbFVGeDTYN5/xmef7QxG+mKv5Pigtw6yOP7y7dnNi6FyWzoufQ6iRVifcmiweXKP63N22677bbbfpc+JBGh5Ps7yjJeY+ruHEMSRYgt/dR8w2P9sfcu8WzG1SzPGehBjBsipSF5zg6PkMv8HuCbo0VUzyN8oAoUAFctWsKgtjjO/qvh5V1bKYxG73ppsigieNsrZWVtKRvKnSp/kRHv1sbnZnGy7IcC9khRSignybcoRJYME9jJvRpldnun7G2WEfg8ABQAYOSThODj7DhbR2+GfS/pMGSZRV4KHd2IMM77W8bJxwgA50DIMdKIzjcsx5xOWUZ4IekEwpCN0wIUBY9gKuAIoFHaIlnGtS4fqlh535SXdXVtDDnBUWQiJlgVSo2C5FYzwzjZA6fby0FBR6nuzj+awmAspwK5IVWAM+7Ns1PNAcb3XJciiiYEjxDgW+/TeRPgcC5TVaAG18OAjz4oMuHy21+qoohigIClD5dELuWSJYglCxHU6s+XkafUvXRLhLLVgGcHxBKMILNb8cyRdN47HVvxxpiRjgsu1srlivlUTEAekrCr4x3rL4FHAny+bOKe/BTZpwjeqR655vjFKH+KR/Y187I8nnkZZpzrLFkSyXIhwJ1lLRg9siOe5SqSWYh8TWDpUi8uYz2CbzSfrfhIiHCz47y/Tmw5JhyAquLrVtCcn4TKoMgPjw1jAFsV/Pnnd0pEYz6PORbLNfG97X/ytRYBinW0cigjWBAL1m0rFH6IdxQzJR1nH9hrYR7YgOLP+drJHi4gMTo/83gUmDiIVsWmExgNMFOX50FuJQAw3w+CLDccgyIi70fDcU7Vrov5+WzE3a7iD14ypjIzUbfddtttt6X9bp3aL02v8u2eoSKPRAtK9Rpzl9OKDupBfu7u5G0yeQaxOWf2Ra6bW/EopvkfhlmkMBiRM0kuRRKDPRoWm5QBqdQSCmARDU+31pCbYFVG4dnF3DMXi9MqAPZa8X6cM7oYjndiKcmmaJI1+8geFHHSAHaMLpv3AkCWrIRIgM8INq8FP9xZM6Oa06MWVAA6ZlO9b63n5s6sh0KLeMO7WRYC0GHYXeWGUb7CTAem8xyOSCkKk3EhpQ/vBSAQaCFPYJiXnoHjwz17koZhnKsxho8x19GQ6UxU1Sx5eryxBK1FP5O8Jh5MxWV6vWwlHMxXLNEHmf9iMteNAG9bYRkcADsbjkHxgFpmQ8P5cCx+yzDqgwa4M87s6cC8gj1fGiw5UtOZmRbP2gTwoOO1gC8tit4H2O+uY/eeK62zJ4VWgXXyWd5Hx66CbNQtJIezjwmyYWILxz6uw0gi3gt7pDyk4BwjSyRHnzLf0znjc1WquqNPweTz9CxU1O3DFcbcy9XVufY7NXPnW4BP/l04qi/oPprn8fotZWaHgaB+LFwGf3Vljx/3UaOUUDUf6jxXOO3DGAAoDo7jWd0w33GxwONKs0lmlQmiYuiW9ZTfEGS2MT4eXJ63UvDYKr6dje8HKdi8oewIBTsYntHnw5jdEAiOPvC27zhbQ90q1MFxlsz6Wyzf+z5Gul5rDM0Cvi8BC//HXB0uf+wgsw2uq6N1nM4Fat2VNZSrZt8KAxVjoJ8D21bwhy8bZAC/ns7rMIMOUGRC5nmD12QOHsZw9S6/x30v2fBT/LE1gL1FYiE6+FiDS8is75zADHSoZNlfu1W2brvttts+2b8akDyfTzyfz/z3Tz/9BABOAI1aYmCIoaxhQ0znmz/7hpvv6SCGkysSGvZSASkKSVAwvxOEVoE7SrG5wLJiJhqnwWZWJMCAmWX2YggVuOLfm5eLuHeG1SOIe0gdfPGmWEtEfdXDiUhlOI/hdEfU7Xmyi696V/nY11bHNo4twvKt3GgrQYcK+7cgnNNhGT0uRVEMkMpiih8KlbpEBecwdMw+GhgsDVJ3+sfqAbqdLgX6qIVlLhIOHGYkOceKxx4AyqDj0rwx2cDw7uKSmJW+DpWVZFkXWULitd9xTaHE9GrqEfbhzsVaOjgVgXjOWhQdjOLrUkLSFx5K8ouUYOTLVhGcooGSvWFImBdKei7LxoxE6ijTWBVwk5RrwNNGSkXH+okxTYcT5AUMA8nwCM7DCtqpbmTD2HXcHeStFAzz0j4AVphJg7F8TOACEYNZiC+1QMDyxqMPlyYmSFBwLY5uQGXpHITAcBc6vh/n7LZAEDmlt1NFD1N4ID8ok7gc4JaKaObBiZXS/7JEl/fNJ4u1hCW6bnHTE9wpPGsrXCsDniWLVSQE0iWi/3Evfn+1VHTrGEkiiKeePxYjEBQ/dvi24pGX6PexIlGBuBz6zJgxG8djG1EBCfDd0KrgrRBU7aXgq6tsPceYWVs/TjWKiDw9CHT0hl8/DogAj1qxlQI151vY95445Lz6w523TTDrwN+WksUXoJ1lYAB+Pdj09uNsWdYXjTmjkWcVYVkpjFyNAjxU0YbgUQRvWmFgVrWN4SVYku/+uKbIgBRl3yopgn52jKHzmfJs1C/PlvLzEusp7mGs4YDXSIL4eWIZGr47iLfddtttf+f2rwYk/+W//Bf85//8nz/93oZlRoHNovIvF2cza3dfwIUIvOSDL/GqApNJKO4jonG+OS0BxNVxFY+Unn1MguoiOcoIqWWJz6U5mziJ3YCPZ8NXbFmr/xqh5kXDS9NcY3/xHqNMihswO8gfZ7/sUUUEp/UrEFmcT60KHZZjCjBL0NtUFzMvr+GY8ruRpWqDDqiKYC90ngq4ob87GCOPgBwXLSTOjgGUbSnVseksRRakDWAHsxrP3jNzEI61vThTofqFi5KV5PxB3OHLc5o7Eby3x1Y/ReYjtBy9ReJ74mOQ0U2ZjkKeL67gki0b5AooO1MXmfwi8+xNUaqPrcD6i9DxeT+aN8vDjNYLUl0rHCGDSwX7/cd998GeMbE2inN9AmzEkGZJ3zCcB09USqjIueMrBJVtTPUqE0BtUCpVCWYgExDBLO+XHd8Fx6Ca1ZdSsTn4PLOnj2D0ARGFCfvGdL+/NsyVoaa4qfh7YXKS5jxokPdt/rtWxqT5HE2i9VwEuFg+WwtCGcMw1GYPjD7PK0LQGo0G4967r50IsKQCn115FJtK+t1RLhVAurn0XApFuLqTwXACkCQ9BaAOgOUPUcBMIVib9738fPFpvTwryuPAkj0R9ro5xsB/fz5nfwy/sTys36MIwedeCg7rzjVyta2NWdNdKnw5E6CI4LE/8HEcGA6o4515AYvC51T8HnPsVtDlgKV3D0A54IZ5kAXkbwwA1tnrpHt5FgGK4hwDHx3ZiJXg3RLcigjM+WrDjGp7Pq9RllqKpsy8Co/9y/vpsuVwxSx8Fk2QGZTKgQ6AHP1P/O/1/0V2+rbbbrvt79H+1YDkP/7H/4j/8B/+Q/77p59+wj/90z95VL0Ao2cZwRh0fsIJG4iNGL75wT9ruQEJBG+Pgg7nBReXLh10SopLeL7iAwGY1TDgl48D0YE6/sgu7ZQ87QBsyMU5LL7DSjiw5upgANQERUAytefvLTbvwXsy50RgLPc0KA+pqoAaNo0O59EnxSPq4LGmJLCl30FJZMuyjDAzOqHXsbD8/6zJF5gysj2UkdI/7pW9MYZlOVY7GT3clL1iHlth9qITsIgDquhOzKhjx+EoIBzxvbJsp59j1uHHvUE4f6LQAAcOlGI8irLPwekOhA3gUSapNu5tcV9QPOqoqyOwfOaSlVt+3yUcFEaGAScWD4A9EDTXxOytADy2kipd4W2JCL5uFQI4yVWyaWYICPDjns2Ifi4+4W3QkV+nmBkXQxmS3IwE9c60DV7U6AwGjPVejRkGhDCAAAcMG5j5OE+P9YcjDQdBAhyJd0jmhoXqm2Svm6dHnU0AE8P7eaI0ZuMoGcwStlLUS1go5RqNTifInQAggGmsjZjjyGjGJE5XHtn36MyU6BzDDGAsFtmRUhQ/fnlD7w3NRoLCNWsgHv2+BLpj2v35HQG+gXReY05T7jh+78eLUtPMFIzprIoDBa4VzKzIBVJbZhgiMzOGwUJQwT/29VHx3jqe/k6etVNxvcigUAC25qA8Ss1C1MLMoIPzX6viTVnW9TEMX2pxxSquia+loFZKYLfe8VYr3wv+FF/m028kS/Q8a9Vbx3l2aFEU5yutYwe4RPvREJyi6JTe+nAw5uPn72oIYEvp6PpWECHJHw5kiioeXt6mCnx7dudqScadLkGqT+k4B5VTSC4zMvEur7Xgtttuu+22q/2rAcnj8cDj8fju32x0jzrOEptu0QSKm00HAGGZzADoGHfD0XvqtVdVbADLmQbrm1lKI5nyXp0XNUYRex94nj03IAEgVXKzCCdGgFlWAyo4PdyxQVH29CiStd9AOCZyUbA5vYtycfkqqrgMbLUsEVPQafDPdlgSlmNjYhZn3k9crADpcHTvcl+C8+BOySSVTue5N0ZGOwiKRhs4Cktq2gi1rZkl2nZ1fkaoywiqcbxVZoPI5jK2UV5znB21Kn5826HC8TjDSUUIF/Beighg5K+8bRv7HNhA8xI7RisZNSyu1JQOmjsWPWq1sfhdi0MdTlzMUWQlQjY3uDnhD8VwV1EMNQwZXpqjeOxlNjDzKKgoWKbm3zSJzAP//igFz6OxW7oDKV2zJTHXmGBi8pMwU1HrM2XmzewEWynuls6Ibq1+7d2ADr/nhUfig9N93k/wYa86+RihHsUeC85Rck/V/DmsD4ojNKP6WgD5qPXnyeCCCOQM7dsimRxg3ge+OMgawzLKzEwFUL1pY3CkskTJ10HcO2yRoPUPxOgF/0oEmfmI2hpxoNhaA4SiFGdnFmAVUTB3VPN88QLxFXh+ChIYhgX4nutUBJSWlrxMALMp5mygiuU7Mn+Gf8le4JVx3kezqGTLzz+qMqjTmeVghnWB8guQinGtDvyHv6e2Ep3dOW8KwPrAz+cT56NmSaNg4JePdwJ7B9aRO9q8P1XzZ13ipnyt85zA6e/tx8MbWaoDBH193zHAc7qqn4qgQigeAI7n89lCZIu9oxxgQRaRFR8OxVSIY6d5QKDM0jhQbp3Pa75rzTMjOTn5MOc5CKTnnyLLEwBXoyT4tttuu+22i/1mUnsR72AMOs1ve8XXfSMvo3f8fLTcdEli9tdxBjYFA+xye5wN8LKZdnbsO6mWKlSWCkna4tKbTyc9xjHLtjqe3mQLU0mrgc6ZsBwaocrFBoQCcce7OaekuGStusN7umNVa8noczgRA9zoMwo8yJlIZ9qQ/SWKropMluUmawQ4rs8MGX29kuvDefJf2VR3kcrj71thlkSAn3vDaJ69WRpSikyg8fi6oZ8HukkSt4eX7kTEUIvirTiXwjf5vRh+PU7nK1iWuMC4odeNYG8X753RzQFPyfvNCgh3yAK0mlEOeUbOkf0LVuUi2OQKAUuPAgDimbAVjOSxVFALy+r6oNrUEDaJYxM+lrzRCR8TRC7gglwepdRurAnMyDAAV4Kb12f541wH69XFb+nM9TlncTwfuXYyH1h3hZZZFxclZMEzGWPgHHQ2Hyo4nJfhStFZMmbr3AH4djSYjweMSkO7ajZSjDlHEWxC6es+WO5TC0t9Rof3nbjeQ935HD2fbQYMPAMxOSRzbiMbFj58PPfrGp6/C+fTcDqCeOwMGJx+bQKWKMV8rHP3alG+dUk2xP+TAA324qiuAHqZO1kxaJ70c7DdP5j36++A3hbBgERis9zt6BMxZVlquveJ+ZcsjqLYSNL/Ab4XW8clsysq+HY2qAB/qAXdnz9pvJAOZmNjTJoT6ANkWue9fNnLlAIOhAlQJa8I3mrBR3cBAs8adTFsMoF02ShdTGEFxZeNPXF+PpqDiLkX7KqopWT5ZXfQmllML0PsIAiJ0VNBio2krLfxD1xzyxyu//H/qkr23wkuYSnyqdzrtttuu+2236MPycsu+qXyxf/eSOqMPhfxCq6DBEQT4C+j0QHqAGD4GB3PUGYyw8dz9oBovrMNMfTWcbSZEdEgFPulFACaApixqQLoyLr6uOzorh61xgCBQ3NAknfnWZKUll1uSlXwtpHoPRzM0AUIMORkayMgiO7ra3dh7nOJpqbDsE2yOzkKa2+VcCLXzZG/7wY8KqDOoA2H8xXYjGHop+HxKHh/fuBrKSi1oA3BGeVEy3cFoTRkeSwBsBfF0UY2wlzbvZlf03s/3RG37P0w8hOYEWaZpzw9QxT8Az84SlVUQXqRkR2BzCj19NXmtX5yN82j9o18mCCoNy+r62NAi+CX5wm14NjwezKcBB1OuQQomn1UMrotKwhZR2b5cQZww++Bmff1kMnViusPp3sMsP/K23KA5U7pMwlQgCZUXKs2z3EuvA51J7jlUHtZGIBnZwklQtAgnH4n9Y7VEYODFc+EVC+DMXiQQGawgAuBGdO9SnY6z6Z0cG6BWJb2vHbaNpEsyxLJZZGZFIpPaApZmPi9WSipLdOygo5lzQx54ZS5Uzr6SBENASDqs2TLdMxHLpXkxrBLWd/ntRkLJi6IilLBqYjjGeA9YRRPz+4lwHrBSHNt4FKmWmQ+e5EE2AozEmYsdSQnhk71e2SEO0FdNzbZnO+ZKTBSRbFtgrGRu6OqPmbA/lan1LHB+VvIrGypXCVvZUMtkg0Tu0tXqwBdgZ+83LNsJaXWrRswDF9/2AEY2vDsbwEanOvj5WmnDTTjszHfFP4O96ZPBm+C6MoHYqFYN0vpgm+XAZRl8M08u4jbbrvtttte7TcDkket7ohwk/zJ1XXCd5z12Yzq7R5tDmUrAF7iodmMba3pnrwCbgofw0FKYVlMKOYMj94C9JfGEv3l1cWmx83ix8eWzRGjn4LozHCwRGe6ymdj87hoMhjHzc94ZJclWNExfnGMZTrNzbMOtjSMK8I67TaizRijsuEgGlwBS4E1W5DZlaVUBB0IvosqGCE2RhUjSJ1cYRVsj9kYLuRHqxBOPY2AYC31iCzIFlkiY7ndITxPKBXx/Etk1n8SsEyr5LqZTln6e+5QRmM8FcF5dCcncz2Yl7Glypkf71MEcnHQLa9g+nrDqFrWz9lADe40Z8d4B28wdQIscBwN6s0q1ddCF0HrA02W6HjM03It3wnCZyR8zsX829kHdnaQnIcQpENlLwcyUExAA9gupUAfZtgLS17MSddRSLIpf3fKYK8V1wM2oXzqaAO9GN5q8TLACZBbC5UByiuLgNF8MxTMRpvx3IXXXFTQwrnsY2bxHFhAgC06pfv4rverqhgeAIkxCeJ6cKpUGbGnE86fv3qGjv1kkIBiFQgw43+j6WkAapg/BwK00WEdKf+NMYFUXNM694YATD4ni+86V+dcnxO04YpUfUXDvLN6YYM/QZSrSb4H8hjCUtdcz5HlkOClBdpWn5cJwLu/g80ED1VIo8rhcI7YH7aKPx8Hy5MiQWFU86v+pqxFPLPdswFu8fmAAW8i+HD+GufWQTcGhvEdaZiEdQAofX4+381GsDcAvJ8NjxfgN4ycNQjfXRXkr3QMBP8ks3HCNd5bPJhIgNJPXBoz8r4111FcS+wRn57V22677bbbAPwOgKQNbgZ9RLRppMNYnSD4HuTdbvjwSBuMjsSXTX2TscwgDHcum7FrcYGgFS9/Mi/VcS8/wIgNm2UAqh7/WpCDzIhXlKUUVRydpWBfaqEz5o7GMQYepQBCwvL788RWC354bCgOFDoYZY0IaGxAKks03p2a6X54zfOgExEdy6sqNi8fOXuAkumY0ImJLs3TAuyUOpv9mUelYzy5mTKyGjXWEhFo/oMYZhielENK5ziizwHy4nrOQeeCG3YQo308G3dsUdZmpxO3XG/vA6bipVRLKcllztwR6IazhYwqfz/y+sN5mL05VouxG5jXED9l00o4kdevS0rhdTsiMAM284ZpjaV4RxvZDRpmMGPZVlGBlRi468UEGLac0PzPp2t+/UuMz/RtveykTFCxkrmjVCsi5YHA4vuHGaoCexEU8y7YfaDZwFDBo1QAhvfGsjH4OUpVfK10L7tyvGotaK2HlBJGqsHNZ62BpGMzEKhr4EfLJpcsoVGIk8aRYOolwL9MdHGyvaggQvJsljh5RVpfRtgj2c2u3KPufYhyhN0pVXiHdgOfFWN5KQGzwjV5yfeCuoqShxXi2hMUz6ld5cLnpUX2ZwEl8bcoFfr8JexV8eEZIjPP5mAFuT5ePvDmN8eSzJLZWq4RBiROm3wznW8DL2Vi6Vv3957qwE9Hw3EwuFNcdUycS3S0lgpzXx8bAOcsHZ2ZFsxsXQtwqMgM7dkH9lIpCQ32CXKuOcdwWJbVxe0W51WRG8WM3emZl26WEucG4K0WHN58NeaMvDL+nZkay75ZMR/I0zHra/5wW16K5XzPrN0LCem222677bbfDkiO1iHeiO/VIdwLI9tVFc2bn0UJR2w4x6AySnwtuBhTlMvLhpbIZzquE5dkpD5LZV4tIoLCEoI+Br4dZ0pE1uV7AvYDaF5z36Im2z08ETa0G8uxAXJkTILULXmscIC4uVs6hj/WDc/eqe7iqYvq5TAhUXxx5JfzWRxXIiLoYzBmw7daCs5+AhDya3yXZJmc4W0v+f0AVs3BkBm86eOMgHvrMACuyuOnPXtP3sDppXRmRsJphTufkywsBpyd/IftraTE7Yxf+jzk5LJuHoDLck7HC0sZzYg5di98rkXP0M2Qpx+fCmc8npf99YF+dohNBaFQHAoFqwFQXU2Q3ep5mgFHwhN0XJdIOjysjb/avFzL8VjHYAxL5SFzYnmqz7lDmZH+xYMfZlkmFXMDAxoIFHYBzsZzbqJUQDNDHx0C8YwXn9uHZ0aqR+mbZzTolLqssLJ8yryp4kVGDKz7Fzjhxtdw9fvoHnDQAG/L2ERWpeh0JDPQkCAWC4LHbKbpv89XR9JtpnMp/qIRmaWdGsBhWY+bCJ4+rqVc8BG5HSXOM8f9dZ7XdZ5gOp1XPpSyHtitFMVwwB/S5XtluWQo3HF+fZ2IE6rj3eipTgF/H1nqWgQ7SoKdaIZoYBkVxSnYyLKIoBvwzEnwII7N96QYvBEogxV/etvx8/Mg+AP74TxEIbV4ySMzLS24Hd6cFf4eUgU+nPtTMaXeMYcLw7k1KmxuWCEJtj56Z78RH/fgP8Esn+WizITH+yrmKp+vkO9dew0tYD96cq0mIhS/WCb9FU/edtttt932e3BIgPmGFW5Wm/J/USZSwJd9lF0Nm9K13QxLUDI3ZfEMBMwWAjh8M7U8bycKmZuCb1QsA5jfEyB5Fj+87Swn6SMdcfdtL5931xxf9oqtKDYvyRipujKjXzMCGs5u3E/cms3MjAh2Lfh2NqqMGVCMpSwAE/4RWYyo5YClkyDL+fKS43zubJUi2fPBXhwj94eXe6Xsq1ko1sx5Pc+BYrp0c+cXzz7w07cnI+IJm0j4b30kquxjZJlFDBkdAmDolWsRzmA0SgsrVdn7pA3v4M3O47pOgdAZtGXMLk7omM56lAYKAsBw8s2lcIJQXUQwVNnAspOUHdkvdTAzB1EupPpXr4NjLssF22WtxCrMR2md2wWuBT4pOsvsShH0Pp32yBquFlH3zCL6NYoA7815QKpoYPaHAA74YatZUvOtdUCAZ+84vOxHwNIoGwYTQ3GQW7YCMapvRSYnggkEMAP7VmYGJ+ZcAMPkyqxzGc8px2wu+AGCZh0yldGEa3HxF9epmoEMHw1B8DliTsyfB+A5Bp4HifZrn5h2dJg3Ro3zRtPVGspufvQECsuUZrDB/N3kv5eCdGIDlMQaL0XQh6RSV4CxZkY+gy3HX58lcV5U3LvLs5tnp8ag4mF8V9xhV8+CVhXYYBCpIJq68r2irmjIfjMKFc73gIM2d+jVSw4By15JXzcqt5kIfnqeLM2TOV/NVQpVBcfZ0Zr5ePATpSg27wc1xKAb+7CokG+SGEk9eGZICespsGJ4enZMqyaw92FCKPgySBMSdZI1lRF8EAOgvmj8M8t08Hm7hpZuu+22225z++0qW1pwnFTSemwMiXVjSRLrfj0C6LXmpoIv6mVawo68rc+NWpbGVe4azL/h6ljkpjvMAYZHGp0Uz53WMEtHuCnGRhpd2U8noV9PEHXGBExb8VKB2KS9/EA84hjSk7F5qgrr15G+NgyMQKsIPhqLp2LjY6SZ5W/q5U9if+We/9p4CFLyVoTKZAL6ALF/RiO4Ur1DuzuEcS6Fk5FBXoX4BdowRn6X6OuIL79cC6Pd/PmSsVouVouk7GkqOyGaG/p9xoYvPGaUokElyzxywx9zYC7OrCyOBGZpW3R/juZzFmBu8VRXnpOo4G0vaObN/QY8G+X3G2OQkdMZCl0d6dUfCf6RAug+gguOugKrV0fmZfJDCCLWenwx1t86vgCcy8H+Lxx/9pfYXP56OECuqqjCEp733i+Od4xjpDBDRWs4Cb8182j+BIu8dufnDBKcY43GYIn/ImSDIXD53CvI8j/kQBSlwxzZtFpKkqf5KrhqbMd9p9soyJ8/ZSd8TDrALBgArZoZwdXYPwnYNpaihlO7Oqer8ILINTsTl8hbvh7chHPt/RexV2VWYZu1nPnMYwXBc95yGjyQUz0TGM8EBp/9AE2PWlGU3I9NBSeAoxFQcnJZLjUll8UVFckL2b0B5R+2gk0Vfz7PFEkQFeehRDd4CqF0MzxKwfAXUxFlJ3Vfo4+tuvofe6A8G2U0CrwBLoaTx2Xed8YDOOuaGtyADXJHIqiD+acE3urZvymbnEg6PxvJEAKU+X58fW/fdtttt912td8MSPogORESkSkgIrHGH+m4W2iw06E8giyL6dwA7hT6VWVUyY/5XTqghVMn2Zk91ZiAlF2ME6xZAgFLtfoL6OEGKN6PQrD533/+OKFV8Hhjwy/lju/OC9WOCM7Y1C6PKXQFo0Hv07Mi2SBt3gpkGDqo+gJjKcWlC7CP1/eaRM4bWJ1ZmUAJvI6vteA0SyWsNXI7M0zqNdaz87n1GLhwOq68EoAgRSCZSYhmZBHdz005wcjLRu3/UJWMfB6tQwbwZauwAY4Npk++1nXz9zKvafUCBZQKXTwIW9dF+m5UE2pjTJJ/IYfgPEYCpSjhML+/9GvDl01w8Ndtjsl0FCd4WQbImzZ+7/sX8+uFzCwQMEUTQt3pY/TsP5PlPWY4RsdeFA289uZO/J/fD7Q+oEWz03T0aDA1KmPB0Lypnfrz0d0x5u1EpJwkcSomGWRpMpQlnbrI/q53+QmFX6dYRTLLd7bmmSRG6WWRHY8SQmA2QQzHcwXTmZVyDkKUCFpkKBzpv+KXMQbGmIpgtvw9YadN7lQNPoPMT8T9LoF8Bh08+VKLMrAwZvkSL/Uq9jB87AkCI9rPdRXvqe7rJhtIwt8FJti04KOdAFhqOeAlt8UzNd1LWwdFIdi/cyRAGWZ4dxW7ogoTwV4KWu/45Ww+7py/oiw/+7IX7EXxlA4YgUgtir1UDDP8+jxRinN7Iu3jz27wii6P3twC4LGViRV8/iMINpa/BcCId7jqbKgaEyQy97r8reSX/Do8O2J22Z9uu+22226j/Q4ZEm5MFlU6WN/9voNKkIrpZJ+tZemOdcuNJNSUopQrPnPxLNdQ6vKTgQT40RcPd/3KUqO0HuHog/Xwl2AXI4bnOaB7kIW5wZ/nAISNAUvVLDdbnb8xbFHDokcgmA235kWEq369JjND994Jw0icVpGUmJ1Rv+WGYjw9c2PK2vJhSInkrXKD7CEAIPP74YjHcbMRo0eqE1zK3KCXGf7OP66/CrWj2PDXT8TYCViWMczw9bFhUzpbe9FcG6Y8FhMblNBsy1qI4fm0SvwXcS/ycp3xkYFQgJu/Lw6kj+cCRoIoXWRmRdyhKaK8Jlkc38uF8B+v1NYLYMvr4X8VzFJUkHwPYc285rMS5+bnuoOtcNI3Vfxh2+gcjgYMls3oGpL3/x6NUWiB4NkG/uKEZIAStz1iz17WY0CWz217SVlsEzafG2N2ZBfMdRsSvt+z5Jmtf/4X/LjIgmm5AvUSEXggSzkjJyIpb3WVO1CbC0jgqmPPDinOxYpxDU6bCMbol/mbhPUAK8uKfHngDa6IpljO+x2LbKR4qVIh8fwyRkInOvr4pLqaoxkBgXQVzksVZljSSbYYd6oARtY71A6rSyfzfSSoAoytZIZShM0ZT3/O2jlgtaJjuHIf8IcffoSNgZ9/+cX7EjHlpMJ+UKqKRykU3gB5Wo+N2ZLHtuHbx5Fj9laBAUE3BnzESPHI/WUOS45DN0Mps1t6AE4RAqujjQVkSq5vjr184kQtUwO8rllMsGoWWefvr/nbbrvttr9n+zcDknBeu0cCo2Tp1aIe316/a+t73TJiHn8Yrgq1ZsXVy77GClDiK8IMTKgjzYg5y2uKCh61ei00swMfnqnYpczGVx5dffdOx60B3feuaBbWG5vobU2SKBk9BYpRKeZsDTDvSGyGc/TPDqgstedrhNOofmOI8iXD8DIuCLIUIhqZRQOudOwFgClERvYMMRiOc5ZQWYmTBiAMUAjAgUGArVAjylEXwJTytxq+9hreF0PvgVgGfvG5rKFKFfcPTCcLBKxmJI+3s+P9/fTyjAKA6jvnGM6l4clCKWvtNi8R9VZMeeO4NAUuHsPiIQ9v5JbN5HxsFQTOrQXjSCDUCoB0ge7O54i5cjWpyAaGRzIfj9fn5IKGPwFUcoqAj/PEvm0Y4vfd2Ctn+Jqpqjht0CETJFgoQpL4U4HWDc82Mz9TBGC9LMPHGHigoIh4WRL/yAzLmNcooTjnXIIRdf9Owo9wfqzzeE8Y+RhUfluf5QWw+0lCTQ22AofrWPZuKU5guSaAw8n6oYgUST6NrKYtTrs/+yPeWXEtw8nfBnjnP2whd5dIR6k0tqy7bn32anmd6/zZ1wx4n2UBVJdVYpdv4G0reD/bhTOzRvzNfynOjTIiU8wiNQKo59lw9oE+OkvczCjwMfjf3ju+jeH8LYqTDHh21dh7BFXIO/L39aaCj6P7nA98HCe6DRSIyzb/DCg8ozJmsMOAjz7ww1YAfzcLDGJUMOsd6O1Aby33g2+N2bkNkU1tDn7lU8QmpX4B6A68gmFxMQLLzKgDSZlzYcMyixSniHfmBW3HHuVjGaWNLIsLUY5/AWHfdtttt/2d2b8ZkPzzP/8zAOD//D/+r9/tYm677bbbbrvt78F+/vln/OlPf/pbX8Ztt9122/8U9m8GJP/4j/8IAPiv//W/3i9VAD/99BP+6Z/+Cf/tv/03/PGPf/xbX87f3O7xmHaPxdXu8bjaPR5X+199PMwMP//8M/79v//3f+tLue222277n8b+zYBEvWThT3/60/+Sm8a/1f74xz/e47HYPR7T7rG42j0eV7vH42r/K4/HHcS77bbbbrvaZ9me22677bbbbrvttttuu+22/4/sBiS33Xbbbbfddtttt91229/M/s2A5PF44D/9p/+Ex+Pxe17P/2/tHo+r3eMx7R6Lq93jcbV7PK52j8dtt91229+fid3ag7fddtttt91222233Xbb38jukq3bbrvttttuu+2222677W9mNyC57bbbbrvttttuu+222/5mdgOS22677bbbbrvttttuu+1vZjcgue2222677bbbbrvtttv+ZnYDkttuu+2222677bbbbrvtb2Y3ILnttttuu+2222677bbb/mZ2A5Lbbrvttttuu+2222677W9mNyC57bbbbrvttttuu+222/5m9v8Ag29mcq45JekAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 600x1200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(\n",
+    "    figsize=(6,12), \n",
+    "    nrows=2, \n",
+    "    ncols=1\n",
+    ")\n",
+    "plt.suptitle(\"Mosaic Source Image Metadata\", fontsize=16, x=0.8, y=0.92)\n",
+    "ax[1].imshow(((rgb_arr/10000)*255).astype('uint8'))\n",
+    "ax[1].set_title(\"Mosaic RGB\")\n",
+    "\n",
+    "n_categories = len(unique_indices)\n",
+    "colors = np.zeros((n_categories, 3))\n",
+    "for i in range(n_categories):\n",
+    "    hue = i/n_categories\n",
+    "    colors[i] = plt.cm.hsv(hue)[:3]\n",
+    "cmap = ListedColormap(colors)\n",
+    "\n",
+    "im = ax[0].imshow(dmap[0], cmap=cmap)\n",
+    "ax[0].set_title(\"EDA Mosaic Source Images\")\n",
+    "\n",
+    "legend_elements = []\n",
+    "for i, idx in enumerate(unique_indices):\n",
+    "    idx_df = date_df[date_df['value'] == idx]\n",
+    "    source_s2_id = idx_df['source_s2_id'].iloc[0]\n",
+    "    legend_elements.append(\n",
+    "        Patch(\n",
+    "            facecolor=colors[i], \n",
+    "            label=source_s2_id\n",
+    "            )\n",
+    "    )\n",
+    "\n",
+    "ax[0].legend(\n",
+    "    handles=legend_elements,\n",
+    "    bbox_to_anchor=(1.7, 0.5), \n",
+    "    title='S2 Image ID'\n",
+    ")\n",
+    "\n",
+    "ax[0].set_yticklabels([])\n",
+    "ax[0].set_xticklabels([])\n",
+    "ax[1].set_yticklabels([])\n",
+    "ax[1].set_xticklabels([])\n",
+    "\n",
+    "plt.savefig(\"mosaics_s2_data_source.png\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da9acd4d-8743-4fde-a85f-0c1ea42898d2",
+   "metadata": {},
+   "source": [
+    "#### More on Temporal Diagnostics of EarthMosaics\n",
+    "Beyond just looking at source Sentinel-2 image IDs, we can determine which date a particular came from with this metadata. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "69792112-fc54-48ee-8dae-7ed7c27f014a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Filter values not present within our bounding box\n",
+    "date_df = date_df[date_df['value'].isin(unique_indices)]\n",
+    "dates = pd.to_datetime(date_df['date'].dt.strftime('%Y-%m-%d'))\n",
+    "unique_dates = sorted(list(set(dates)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d01c8f05-8571-40f2-ab82-440c0118e84a",
+   "metadata": {},
+   "source": [
+    "Here we will set a dictionary lookup table to cast numpy array values to int corresponding to it's acquisition date:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "499a4443-aa10-4f1c-ba78-85428a17bbb8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Map of date: value\n",
+    "date_mapping = {i: date for i, date in zip(range(len(date_df)), date_df['date'])}\n",
+    "date_to_num = {date: i for i, date in enumerate(unique_dates)}\n",
+    "value_to_datenum = {int(val): date_to_num[date] for val, date in zip(date_df['value'], dates)}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bd4cc278-4460-434f-bb46-215820f1da3c",
+   "metadata": {},
+   "source": [
+    "Replace source_map value with date it is associated with"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "c49fed00-ad92-4b7c-9f2a-7d12123091ca",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1, 2, 3, 4, 5, 6])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "temporal_data = np.vectorize(lambda x: value_to_datenum.get(int(x), np.nan))(dmap[0])\n",
+    "np.unique(temporal_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77181f6c-26f4-4ade-acff-bf24aff6d132",
+   "metadata": {},
+   "source": [
+    "##### Plotting Acquisition Dates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "8dcb3ead-303b-45fb-94ba-493a28e87016",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(5,5))\n",
+    "colors = plt.cm.RdYlBu(np.linspace(0, 1, len(unique_dates)))\n",
+    "cmap = ListedColormap(colors)\n",
+    "im = ax.imshow(temporal_data, aspect='auto', cmap=cmap)\n",
+    "legend_elements = [plt.Rectangle((0,0),1,1, facecolor=colors[i]) for i in range(len(unique_dates))]\n",
+    "ax.legend(legend_elements, unique_dates, loc='center left', bbox_to_anchor=(1, 0.5))\n",
+    "ax.set_xticklabels([])\n",
+    "ax.set_yticklabels([])\n",
+    "plt.title(\"Mosaic Pixel Acquisition Date\", x=0.8)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "733927b6-c40c-4bdb-8f9e-2b5152315eb1",
+   "metadata": {},
+   "source": [
+    "##### Summarize Pixel Count by Acquisition Date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "94154ad6-3bfd-4ea9-94cf-5a9fe695a7d4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 750x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(7.5,5))\n",
+    "ax.hist(\n",
+    "    temporal_data.flatten(), \n",
+    "    bins=np.arange(len(unique_dates) + 1) - 0.5,\n",
+    "    align='mid', \n",
+    "    rwidth=0.5\n",
+    "    )\n",
+    "ax.set_xticks(range(len(unique_dates)))\n",
+    "ax.set_xticklabels(\n",
+    "    unique_dates,\n",
+    "    rotation=30, \n",
+    "    ha='right'\n",
+    ")\n",
+    "plt.title(\"Mosaic Pixel Acquisition Date Distribution\")\n",
+    "ax.set_ylabel(\"Num Pixels\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fefcf2f-079f-42f5-b801-ad8d0177563b",
+   "metadata": {},
+   "source": [
+    "### _Cleaning Up_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "a23021fb-183c-4031-ac19-eeb51f62880b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "os.remove(\"mosaics_s2_data_source.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c8944b7-5327-4762-8e56-45bb9fd9e468",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Introduction to EDA EarthMosaics/requirements.txt b/Introduction to EDA EarthMosaics/requirements.txt
new file mode 100644
index 0000000..59c0cc5
--- /dev/null
+++ b/Introduction to EDA EarthMosaics/requirements.txt	
@@ -0,0 +1,2 @@
+earthdaily>=0.3.0
+dask[distributed]
\ No newline at end of file
diff --git a/Introduction to EDA EarthMosaics/template.env b/Introduction to EDA EarthMosaics/template.env
new file mode 100644
index 0000000..e62bbf4
--- /dev/null
+++ b/Introduction to EDA EarthMosaics/template.env	
@@ -0,0 +1,4 @@
+EDS_AUTH_URL="<EDS AUTH URL>"
+EDS_API_URL="https://api.earthdaily.com/platform/v1/stac"
+EDS_SECRET="<EDS SECRET>"
+EDS_CLIENT_ID="<EDS CLIENT ID>"
diff --git a/README.md b/README.md
index 8c7607f..495e37f 100644
--- a/README.md
+++ b/README.md
@@ -2,20 +2,24 @@
 
 This repository is designed to serve as an introduction to the EarthDaily Platform. 
 
+> **_NOTE:_** To gain access to the Earth Data Store data referenced in this repo, please [create an EarthDaily account](https://console.earthdaily.com/mosaics/signup)
+
 ## Installation
 
 The majority of the examples located in this repo rely on the [EarthDaily Python client](https://earthdaily.github.io/earthdaily-python-client/). Each notebook series contains a `requirements.txt` file containing packages which must be installed ahead of time. 
 
-To begin, create a new Python virtual environment (>3.10). Once your environment is activated, install the dependencies contained in this repository with the following:
+To begin, create a new Python virtual environment >3.10 and activate it, we recommend using [Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html). Once your environment is activated, install the dependencies contained in this repository with the following:
 
     pip install -r requirements.txt
 
+> **_NOTE:_**  For detailed environment management instructions, refer to the [Virtual Environment Setup Instructions](#virtual-environment-setup-instructions)
+
 ## Authentication
 
-In each notebook directory there is a sample `template.env` file which should be updated with your credentials. These can be retrieved from the [EarthDaily Account Management](https://console.earthdaily.com/account) page.
+In each notebook directory there is a sample `template.env` file which should be updated with your credentials. This file can be downloaded from the [EarthDaily Account Management](https://console.earthdaily.com/account) page.
 
     EDS_AUTH_URL="<EDS AUTH URL>"
-    EDS_API_URL="<EDS API URL>"
+    EDS_API_URL="https://api.earthdaily.com/platform/v1/stac"
     EDS_SECRET="<EDS SECRET>"
     EDS_CLIENT_ID="<EDS CLIENT ID>"
 
@@ -25,8 +29,40 @@ A general outline of the tutorial notebooks contained in this repo is as follows
 
 ### Basic Examples
 
-#### EarthMosaics
+* [Getting Started with EarthDaily.ipynb](Getting%20Started%20with%20EarthDaily/Getting%20Started%20with%20EarthDaily.ipynb)
 
+### EarthMosaics
+
+* [Introduction to EDA EarthMosaics.ipynb](Introduction%20to%20EDA%20EarthMosaics/Introduction%20to%20EDA%20EarthMosaics.ipynb)
 * [EDA Mosaics - EarthMosaics vs Sentinel-2 NDVI.ipynb](EDA%20Mosaics%20-%20EarthMosaics%20vs%20Sentinel-2%20NDVI/EDA%20Mosaics%20-%20EarthMosaics%20vs%20Sentinel-2%20NDVI.ipynb)
 * [EDA Mosaics - Dixie Fire Burn Extent.ipynb](EDA%20Mosaics%20-%20Dixie%20Fire%20Burn%20Extent/EDA%20Mosaics%20-%20Dixie%20Fire%20Burn%20Extent.ipynb)
-* [EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb](EDA%20Mosaics%20-%20Rio%20Grande%20do%20Sul%20Flood%20Extent/EDA%20Mosaics%20-%20Rio%20Grande%20do%20Sul%20Flood%20Extent.ipynb)
\ No newline at end of file
+* [EDA Mosaics - Rio Grande do Sul Flood Extent.ipynb](EDA%20Mosaics%20-%20Rio%20Grande%20do%20Sul%20Flood%20Extent/EDA%20Mosaics%20-%20Rio%20Grande%20do%20Sul%20Flood%20Extent.ipynb)
+
+## Appendix
+
+### Virtual Environment Setup Instructions
+#### Windows - Anaconda and Miniconda
+The following are steps to set up a new Conda environment and set up the EarthDaily Python Client:
+1. Download and run the .exe located at the [Anaconda Downloads page](https://www.anaconda.com/download/success)
+2. Open the Anaconda Prompt
+3. Create a new virtual environment by running the following in your Terminal:
+
+        conda create -n earthdaily jupyter
+
+4. Active your new virtual environment by running the following in your Terminal:
+
+        conda activate earthdaily
+
+5. Install [earthdaily](https://pypi.org/project/earthdaily/) by running the following in your Terminal:
+
+        pip install earthdaily
+
+6. Install the [EarthDaily Example Notebooks](https://github.com/earthdaily/Example-Notebooks) by running the following in your Terminal:
+
+        git clone https://github.com/earthdaily/Example-Notebooks.git
+
+7. Initialize the Jupyter Lab client by running the following in your Terminal:
+
+        jupyter lab
+
+8. Navigate to the newly cloned Example Notebooks folder