{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with Geospatial Hydrologic Data Using Web Services"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Dam Impact on streamflow: Python*\n",
    "\n",
    "| Author | Affiliation |\n",
    "| ------- | ----------- |\n",
    "| Taher Chegini | University of Houston |\n",
    "| Mike Johnson | [Lynker](https://www.lynker.com/solutions/water-environmental-resources/) |\n",
    "| Marc Weber |  US Environmental Protection Agency |"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This is the second part of the \"Working with Geospatial Hydrologic Data Using Web Services\" workshop. In the [first part](https://mikejohnson51.github.io/IOW2022_R/slides.html), we covered some basic concepts related to geospatial analysis. Although R is used in the first part, the introduced concepts are applicable to Python as well. So, in this tutorial, we won't repeat the same concepts, instead we focus on equivalent tools in Python and provide an in-depth hands-on example geospatial analysis workflow."
   ]
  },
  {
   "attachments": {},
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   "metadata": {},
   "source": [
    "## Geospatial Tools in Python\n",
    "\n",
    "This is non-exhaustive list of geospatial tools that we directly/indirectly use in this tutorial:\n",
    "\n",
    "* [PyNHD](https://docs.hyriver.io/en/latest/readme/pynhd.html): Navigate and subset NHDPlus (MR and HR) dataset using web services.\n",
    "* [Py3DEP](https://docs.hyriver.io/en/latest/readme/py3dep.html): Access topographic data through National Map's 3DEP web service.\n",
    "* [PyGeoHydro](https://docs.hyriver.io/en/latest/readme/pygeohydro.html): Access NWIS, NID, WQP, HCDN 2009, NLCD, CAMELS, and SSEBop databases.\n",
    "* [PyDaymet](https://docs.hyriver.io/en/latest/readme/pydaymet.html): Access Daymet for daily climate data both single pixel and gridded.\n",
    "* [xarray](https://xarray.pydata.org/en/stable/): An open-source project and Python package that makes working with labeled multi-dimensional arrays simple, efficient, and fun!\n",
    "* [rioxarray](https://corteva.github.io/rioxarray/stable/index.html): Rasterio xarray extension.\n",
    "* [GeoPandas](https://geopandas.org/en/stable/): An open-source project to make working with geospatial data in python easier.\n",
    "* [Folium](https://python-visualization.github.io/folium/): Makes it easy to visualize data that's been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations and passing rich vector/raster/HTML visualizations as markers on the map.\n",
    "\n",
    "You can find more geospatial tools at [Awesome Geospatial](https://github.com/sacridini/Awesome-Geospatial) repository."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "The primary goal of this hands-on tutorial is to introduce a handful of geospatial web services for conducting scientific studies. For this purpose, we're going to take a look at the impact of building dams on their downstream streamflow. Here are some example peer-reviewed papers on this topic.\n",
    "\n",
    "- [Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates](https://doi.org/10.5194/hess-17-3189-2013)\n",
    "- [Nonlinear Filtering Effects of Reservoirs on Flood Frequency Curves at the Regional Scale](https://doi.org/10.1002/2017WR020871)\n",
    "\n",
    "We set the area of interest (AOI) to Texas and study dams that have been built in the 1995-2005 period.\n",
    "\n",
    "Workflow:\n",
    "\n",
    "- Get gauge stations within Texas that have enough streamflow data\n",
    "- Get dams within Texas that have been built have been built between 1995-2005\n",
    "- Filter out stations that don't have any dams in their upstream up to 10 km\n",
    "- Get streamflow data for the remaining stations\n",
    "- Visually inspect the streamflow data for dam impacts\n",
    "- Check land use/land cover type around the dams"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Streamflow Gauges\n",
    "\n",
    "First, we use the National Water Information System (NWIS) service to check streamflow data availability in our AOI and 10 years before and after the period of our study, i.e., the 1985-2015 period.\n",
    "\n",
    "Let's start by importing the required libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "from pathlib import Path\n",
    "\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import pygeohydro as gh\n",
    "import pygeoutils as geoutils\n",
    "from pygeohydro import NID, NWIS\n",
    "from pynhd import NLDI, GeoConnex, WaterData\n",
    "from pynhd.exceptions import ZeroMatchedError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "start = \"1985-01-01\"\n",
    "end = \"2015-01-01\"\n",
    "texas = gh.helpers.get_us_states(\"TX\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "nwis = NWIS()\n",
    "query = {\n",
    "    \"stateCd\": \"TX\",\n",
    "    \"startDt\": start,\n",
    "    \"endDt\": end,\n",
    "    \"outputDataTypeCd\": \"dv\",  # daily values\n",
    "    \"hasDataTypeCd\": \"dv\",  # daily values\n",
    "    \"parameterCd\": \"00060\",  # discharge\n",
    "}\n",
    "sites = nwis.get_info(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to further filter the stations based on thier drainage area and only keep the stations with drainage area greater than 10 km$^2$. For this purpose, we can use GeoConnex API to get the drainage area of the stations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "area = GeoConnex(\"gages\").byid(\"provider_id\", sites[\"site_no\"].tolist())\n",
    "area = area[[\"provider_id\", \"nhdpv2_totdasqkm\"]].set_index(\"provider_id\")[\"nhdpv2_totdasqkm\"]\n",
    "area.name = \"nhd_areasqkm\"\n",
    "sites = sites.merge(area, left_on=\"site_no\", right_index=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "source": [
    "We can check the number of streamflow gauge stations in Texas that fit this criterion, using:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3630"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sites.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yZct02w0MDIY+/xvTHQODXlBcfKludvrMM8+Ql5dHfX09kiRx4MCiI3p+l6sNkDCZTISG5pCX105s7Onk5bUTFpbXMfh1d+xnYGAw1DEMskH/cAymvUlSPaDMTtvb20lLe4a2tnZtdipJdUf0/GZzKBCG2+0mNDRHty0nJ5+UlMewWDI69jMwMBjqGAbZoH/wqPZ0LOBwNAPKMozZnITNJpOUdBU2m4TZnKQtzaj7HSksFqX8aGvrZz7bkpOvZdKkwiN6fgMDg6OHYZAN+pVjpbiE1RoJRBAffzNTpuiLOUyZUkV8/M1ARMd+Rwa7fQdOZwMzZ87E6azHbt95xM5lYGAw8By7CaUGBn0kL+9wwG3p6ctJT1/eb+eSpFZqa1/TKYTV17+u068uKbmGuLgLte2CYCEh4SJEMbzf+mFgYDBwGAbZoH8QBI4Rb/WAUFZ2G4cOPeHzubd+dXPz17rtdvsW0tNXHq1uGhgYHEEMl7VBv3OsuK2PJqmpDxERcTwAmZmZfPrppxQUFPDee+8BikJYQUEBn376KZmZmQBERJxAaupDA9VlAwODfsYwyAZHjOrqVeTnC1RXrxrorgx6RDGc8eO/ITV1BSUlZV3oV5eRmrqC8eO/RhSNCGsDg2MFwyAb9A+yjDoxViOty8pu0r0PJgbrYCE5eTHZ2Vtpamph+XL9GvXy5ctpamohO3srycmLB6iHBgYGRwrDIBscMUTRqXsfTAzmwYIoRgBuTSHsmmuuYefOnZxxxhmAG1GMGuguGhgYHAEMg2xwRKiqWokkScycORNJkqiqenKgu6SjJ4MFl6uGwsIFuFw1R7pbABw8+ICXQtgqnULYwYP3H5V+GBgYHF0EubtV5w0MAlBSUsL5NhttjS04nVAUNgG7fTOiCNu3byc3NxdZFggL66wZLAgWsrJWHxU9aG+qqlZSXv5bZsyYwYYNGxg58nGSk68LuH919UpKS28iLW0lSUm/OeL927YtFYejHIDQ0PFkZb1HYeE5tLXtAsBqTWXSpFK/xz65ZzYZCU0kTkuHd9454n01MDDoPwyDbNBnEhISqKvzlZGcM2cOn376Kaeddhrr1q3z2W4yxTN1au0R7ZvDUUJh4fm6/F67fVOPBgt7955CU9OXxMScwpgxnx/R/kqSi82brYiiiYSEm0hLW6FtKy29ldravyNJbqZOdSCKvlmLhkE2MBi6GC5rgz6zadMm7YfU3ZQdEMnJ2XHE+1ZQMI3W1g3Y7fnaCyRmz56t5feCpNve2rqBggLFQDud1Rw+/DUzZ86kqekrnM5DR7S/omgmLu5isrK+0BljgLS0FWRlfUFc3MV+jbGBgcHQxjDIBn0mPT0d92WXkW0JoaSkpIuUnRJCQnKx2dxYrcOPeN9ycjah/sy7GixkZGR0HCUwatTzNDd/y6FDj2lqWYIAhw6tpLn5W4/XBt3suz/IyHiRqKjj/W6LijqejIwX+/V8BgYGgwPDIBv0D7LM9+kTWUoKjY2NflN2GhsbSUl5gokTtx+1blmt6dhsbkJCcrscLBQXF6sXQ1HR2ezefQKVlcuYPVtRy5o1aw6VlcvYvfsEj9dM6uvfOmrXY2BgcOxiGGSD/qEjFCERC4Ig+E3ZEQRhQIK4ACZO3E5KyhNBBwsjRjzG8OFLEASBzMwsj9n02wC8//47Hq73LARBYPjwO4mLWzgQl2RgYHCMYRhkg/6hwyDf4Sr2Stl5Rpeyc+DAoqPWpbKye8jPFygruwcAiyUl6GAhJCSTkSPvZezY9VRU2Fm48IIAs+kLqKiwM3bsekaOXIYgDNx6bkPDWvLzTTQ0rB2wPhgYGPQPhkE26FeaBAmAZcuW0d7eTlraM7S1tbNs2TIAJMk3GvtIUVV1t+69uPjSbg0WoqJmkZ29Bbs9kuXL9YFVy5evwG6PIjt7C1FRs47atQSipOTXgERJyZUD3RUDA4M+Yhhkg36j2eEAwGQyYTYnYbPJJCVdhc0mYTYnYTKZAHA4mo9Kf0wmQfcuSfVA9wYLgmDF6axk/vwzvGbTp+NyVSIIIUflGrpCkqo73qu62NPAwGCwYxhkg34j0molVIb4+JuZMkVvIKZMqSI+/mYgAqs18oj3pbT0Dp1SWGHhH4DuDxYaGz9Ekhwds2kbq1Y9R17edOrr63G722ls/PCIX0NX1Ne/jyS5O67RTX39vwe6SwYGBn3AEAYx6B8uuYT6bwuoOChy6YT/HtVTt7XtYs+e+ciyS/vM5SpFFEUP8Q/1Zx6B2RyPIJgZN24NoaHjASgp+R01NU+Tl3cYgKKiBdTXK8FciYlXM3LkXygvv4OaGqUYRVzcAjIz3zxq1+hy1VBSsliXYtXUtAZo1q5REKI4VQgh0uokJD4Cy+zZPPzwwyQmJh61fhoYGPQewyAb9A8XX0z9dzsHxCDn54cC7T6fd6UUBiHYbG0+n8qyxJYtUZhMVlJTVxEXt0DbVl//FmVlV+F2O5gy5TCCcHScTDt2TKKtzTddrKtrnDRpElu3bj0aXTQwMOgjhsvaYMiTm7tZ+3f3lcIgN3eX3/YEQSQ19VHGjdusM8agzIzHjdtMauqj/WKMuxslnZ39uVblqbvXGB0dzVdffdXnPhoYGBwdDINs0D/IMjKdtZCPJqGh47HZZEym5G4phZlMydhsMqGhowO2mZh4JSEho/xuCwkZRWJi/0Q1dzdK2mxOZNq0JqKjz+rWNZ6VlERjYyOxsbH90k8DA4Mjj2GQDY4Zpk49SELC0qDiHwkJS5k69eAA9dCXnkZJp6T8EZeLoNf4ctwo3v/pT/u9rwYGBkcWwyAb9A/C0Z8Z+yMkJD2o+Edo6JiB7qJGb6KkS0quBVxBrzFJNIPdfuQvwMDAoF8xSsYY9A+DJDZQMVid4h/t7e289NJL3HbbbUiSRHHxFSQmXnTU+xUoSlotXJGbm8uBA4uoq5uvbRcEC+npD2M2d0ZJO507AXQCJ97XeGNdMTsajnxqmYGBQf9iRFkb9A+/+hV13++ivMrM5eM3DFg3Nm4U8fxJJyffTVXVn7W/BUEgL0866v3qbZR0aOgkcnOVKOnDh79i795TALRrFAQrmZnvU1R0NrLcIcwiCLjOOceoh2xgMMQwXNYG/cMgGNe1tTUAiviHIIRhs8mkpv4Jm01GEMI08Q91v6NJb6KkwUJk5EmUlv6O0tLfsX//rzRDrFyLhWHDbuTw4XUMG3YjZnMyJpMJCWhzuXz6YGBgMLgxXNYG/UOHoRiIKGuV0NBYZNlEZOQCxox5XbctL6+VffsupLHxLUJDY49639Qo6b17z6akZA0LFy5k9erVTJgwAeiMkj7//PNpbm7GZErE7a6hpuZxXTtz5syhqKgIs9nMnj17qK7Wa22PIhRMEqFm47+2gcFQw/hfa9CvDKRBBrDZnAG3KUb69YDbjwZjx75PQ8Naiorms3z5cubOnattU6OkMzPXEBU1kx07JuJ0lpGZmcnTTz/NyJEjSU9PJyIigpaWFkpKSigvL+eaa66hqKgIiyWN5y2jmZTUOoBXaGBg0FsMl7WBwVHGbE4IGiWtaGvHMHlyKYmJ13Ur7zgx8TomTy4h0mSMsQ0MhiqGQTYwOMoUF/86aBnI4uLLtX1HjXqCrKyvaWxsCpB33ERW1teMGvUE4OGhGARr+gYGBj3DMMgG/YNhALpNe3sBoJSBdDhksrI+or1d0spAqttVTKYYBIEAM2owmeK1fUX56EeQGxgY9A+GQTYwOIq4XG2AhMlkIiwsj7y8dmJjTycvr52wsLyO6Gl3x34KpaU3B51Rl5bepO0rqwItg0SoxcDAoPsYBtmgnzEMQTDM5lAslgxSUh4jJydfty0nJ5+UlMewWDIwm0O1z1tavgaUGbXLFUZ29vc4naHajFrdbmBgMLQxIkAM+g/Da90tJk0qDLgtOflakpOv1f52ux3Ichsmk4mIiDMYO/YD2tp2I4oRhIVNxW7/Gkmy43Y7MJmsR6P7BgYGRwhjhmxgMADs2/cr8vMF9u37VdD9TCYrYWEzSE9fzdixHwBQXr4Ep7McszmR9PTVhIXNMIyxgcExgDFDNjAYABobX/V4fyXovhMmfKf7u7X1M+09K+tN4uPPOyJ9NDAwOLoYM2QDgwFAlfFU37uL3b4Dp7OBmTNn4nTWY7fvPBLdMzAwGAAMg2zQPxzltKfq6lXk5wtUV68acu3v3bsASZI6yi5K7N17gd/9JKmVQ4eepbr6Se1VUnKdViEKoKTkGt329xwVtEpG6pOBwVDEqPZk0D9ccAG1/91HWXUIvx7/7RE/3caNYchyG4IQSl5e/9f+7a/2m5u/Zffuuegj3uyIosj27dvJzc3tKBgR5rFdIDv7E+rqXuPQoSd82uyqQtSvo4bx7JwTjGpPBgZDDGOGbNA/HOXiEqLo1L0P1vZ37z4BaAXsHi+YPXs2EyZM4NRTT+3Y03N7K7t3n0Bq6kNERBwPdL9C1BQxhrviUvvUZwMDg4HBMMgGQ46qqpU6l29V1ZODtv3s7G+0f3e/7CJkZ29CFMMZP/4bUlNXUFJS1oWedRmpqStYFZFHqGj8tzYwGIoYLmuD/uH886n9oZDS6lCuHP9N1/t3E4ejhMLC85Hlzpmq3b4JUcTD5SsQFjZN2y4IFrKyVmO1pg94+yr5+VbMZpnIyEhWr16tq/L0ySefaGUXXS4Bm83hc3xb22527pzEqaeewieffKJ9PnfuXNav/4IJE7YRGprNk3tmk5HQROK0dMNlbWAwxDCG0gb9itzPko0FBdNobd2A3Z6vvUDycvlKuu2trRsoKJjWVdNHpX0Vm81BRMT5NDY2BigS0UhExPl+jTGAKEYAbr961uBGFKN61B8DA4PBh2GQDQY1OTmbUH+m3Xf5iuTk7BgU7XsSEpIZtOxiaOiEgMcePPiAl571Kp2e9cGD9/e4PwYGBoMLwyAb9A9HaOXDak3HZnMTEpLbrbrAISG52GxurNbhg6J9T6qrlwUtElFVdWfAYxsb3wUUPWtByCA3dycwWtOzVrcbGBgMXQyDbNCvHKko64kTt5OS8kRQl29KyhNMnLh9ULTvL49Z6HDnL1u2jPb2dmJiFtHW1qYZVSGAu1+SXDidFZhMZpKSFpObu5PQ0Gxyc3eSlLQYk8mM01mOJLl6c+kGBgaDBMMgG/QrwhGsMGGxpAR1+fYkyOpIt19WdpPuvbn5IKAqcwnYbDJjxryCzSYDgqbYpe7niSiaiYu7mKysL0hLW6Hblpa2gqysL4iLuxhRNJRwDQyGMoZBNhgyFBdfGtTle+DAokHTvncec2TkcGRZxmyegs2mV9Ky2STM5inIskxkpH9XeEbGi0RFHa/9XVZ2D/n5AmVl9xAVdTwZGS/29HINDAwGGUbak0H/8MtfUvtjEcWHwrk6+6sjcoqNG0U8f65pac9QWnoNqgqWIAjk5fVeNtK7/bCwPOz2jdrf3W2/qmol5eW/ZcaMGWzYsIGRIx8nOfm6XvfLH/n5JkACRGw2t/a5kfZkYDB0MXxcBkMCh6MZUFy+gpDAlClVACQlXcWWLcnIci2SJOFwNGO1Rva5/ZSUOyktvYm0tJVUVi4L2H7gPGZFbzo3N5eyst9QW/sPbXtv8pi9MZkE3G7l3cDA4NjAcFkb9A9H2NGiGMEI4uNv1oyxypQpVcTH3wxE9MoY+2u/sfFtAJqa3g7a/tHKY/aktPQOnZJYaemftG2ibBSWMDAYqhgua4P+4fTTqd1Tw4FDEVyT/eVA96ZPOJ3VbNuWwowZP2PDhv8wadJBLJZhfvd1OErYti0DkMjMzOTpp59m5MiRpKenExERQUtLCyUlJZSXl3PNNddQVFQEiEyaVN6t1Km2tl3s2TMfWe6MoHa5Sn2KU5jNaQAkuiqxigIf26Yy/r//7Y/bYWBgcJQwXNYG/UNNDUcwwPqIIctOWlrygc512Kamj7UShxMnTuTQoZVER8/zOMpERIQNQbBoeczbt0+kpGQ3CxcuZPXq1UyYoIh8qHnMqjRmSEhuj1KzduyYCrT7fO45A1+3bh0uVykABwEkmPrDD7T1+G4YGBgMJMYM2aB/WLCA2vwD7KpL4rdj1wx0b7pNXd1r7N/vGz09Z848Pv10LXPmzGP9+k98tmdkvEZ8/IW6z6qrV1FWdg1z5szx0Ztet24dqalPk5R0VY/619a2ix07FOPe/Rk47M/NZXRODpxwAlx/PZiNsbeBwWDHWEM26DdkQcAkDy1xiri4hQwfvgRBEMjMzPKQzlTWkN9//x0P6cwsBEFg+PA7iYtb6NPWkciTDg0dj80mYzIld0tJLA4Lh0bbGGkOpT6/CPmll2DGDKiu7tuNMjAwOOIYBtmgf5BlBFnGIvsvjjBYEQQLI0fey9ix66mosLNw4QUBDN4FVFTYGTt2PSNHLkMQfGecRzJPeurUgyQkLA2qJJaQsJS3Yn9OfT3sL4LKg1BcDC4XcN554Hb7b9zAwGBQYBhkg37lSElnHmmiomaRnb0Fuz2S5cv1aljLl6/Abo8iO3sLUVGzArYhSfVApzRmWtoztLW1a9KYklTXpz6GhKR3UZxiDE+PuId1EWfzUfT5vDj8dlpbobwCZLsdLr+ctS+9hMlkYu3atX3qi4GBQf9jGGSD/kGWh2JMlw5BsOJ0VjJ//hleBu90XK5KBCEk4LGeecxmcxI2m0xS0lUdKlxJmjSmul9vKCm5NugMvLj4CgrDJvKPlKW8PPw21sct5LGR99PSAiUl4NhSwK+vvx5Jkrjyyiu7d9LWVvjmG9i7t9f9NjAw6B6GQTYw6KCx8UMkydFh8GysWvUceXnTqa+vx+1up7Hxw4DHHuk8aQBBUJYD1Bl4cvLdXsUpfJcL/hs9h+Vpf6elBepqobpNib2uqqry2deHlhZYuBBuvhkuvBDWret13w0MDLrGiLI26B/OPZeaTSXsr43munGfDXRvekVR0QLq65VgrsTEqxk58i+Ul99BTY1SsSkubgGZmW8OSN/a2hooKIhHFEUkyUpeXqu2bePGcETRgSRJ5OTUERoa63P8qfVvkVZ2Ozc592uSnv96+21+/otfQHs7PPwwbN0KUVGQmwu/+AWsW4f0+BOUFMPw4RAaCkycCBddBHPnHr2LNzD4H8EwyAb9wxA3yLIssWVLFCaTldTUVcTFLdC21de/RVnZVbjdDqZMOYwgDIxjKT/fQkzMAsaMed1n2+bNY3C7C0lI+A2jR6/E5aqhpGSxh6SnjKPhbdpESRMUiRJF5k+ZAk1NyDU1CG6Bh0amMzzUjFnxsOOWYM8eMImQPgpEEawW4I474Nxzj9q1Gxj8L2AYZIP+YYgbZICammeJijqNkJBRPtva24s5fPhTEhO7ufZ6lMnP7wyms9lkduyYRFubrwDJnDlz+PTTTznttNNY58cFPZZQPojKZVgixMQoiqh7PJaPQ6yQmqa8s3YtJCYeicsxMPifxFhDNugfhtC4rrp6Ffn5AtXVq3SfJyZe6dcYA4SEjBq0xhjQgsbU9+zszxHFKEARFOnMr34PgPfee88jvzoTgAhEZo96ngbiOFgFB4qhuERp/zzTaHJb8/lzwwGqq0GSgdNPB6cTAwOD/sEwyAb/c5SV3aR7H+rs33+VrtjE/v3XYTYnMm1aE9HRZ3VLUOSn5lROnnSAHxMv4DdjP+brmP+jvV1ZXn5++B3sOqysrb9KLYcPKwFiAHziq2JmYGDQOww9PYN+ZSjkIYuiE7dbeR9qtLZuZPfuuXhqb0tSA6IoauUe6+qeoqHhDW27LIfR0NDA8uXLmesRjKUKimRmrsEdezpq3LUsiKwa8WdWjfiztq/JZMLtdmsz8Pp6SEgEYcsWOPPMI3rNBgb/KxgzZIP/KaqqVupmk1VVTw50l3rEzp0/QZJqkaQG7QV4lXtEt12WDwMEFBQxm5OCntN7Bn6lbEaSO4S/3n+/367txhtvRBAEbrzxxn5r08BgKGEEdRn0Dx1BXUW1MVw/bv1A9wZQSiMWFp7vEWkMdvsmRBGP0oUCYWGdtYkFwUJW1upe6U4fDVpbN7Jzpw3oWbEJgKVLl/Lggw/S3t5OaGgot912G8uWLSM0dDK5uVu09gPNwD3LPUYjIgggCGCKjuaTtWvJ+9nPlFiCTZvAYlHSp8Tuj/kFodO7YjyWDP4XMQyyQf/wi19Qs7mU4ppIrsn+YqB7A8DmzQm43b5ylV1FGptM8UydWuvz+WBi48YoTKY2IiMjWb16tc4V/cknn2jlHt3uUMCOLCsGVhCsZGa+T1HR2cgduuOCYCYvTxm05OebAMnnfF3dMxFw22y+HX3wQZg9u1vXZDabNbe4y+VbpORXv/oVr776KosWLeKVV17pVpsGBkMJw2Vt0D90jOvcgmmAO9JJTs4m1J94dyONQSQnZ8eA9Lcn5OUdJibm2qDFJmJirmXy5EOAhMlkIiwsj7y8dmJjTycvr52wsLyONWE3Lpei4DVhwg9aO92/Z/BV8gQaGqClFQ4ehEOHoOkw8Pvfw3PPQUVFR5ULLxobobqaq668UucWv+6663x2ffXVV3XvBgbHGoZBNjhmsVrTsdnchITkdivSOCQkF5vNjdU6fIB73j1CQjK6KDYxHrM5FIslg5SUx8jJydcdn5OTT0rKY1gsGZjNoQCEh+dhs8kIQmS37lk4AjvCbcQdDqeiUqkuVVcPh2qgvAwaGkF+/Ak46yylDORJJ7Hx/fdJjI8nLiKCuPh44lJSePYf/0AQBP7xj38A8NRTTxEXF0dcTAxxViuJVqs+tcvRIRO6Zw/cdBNcey0UFBylO29gcGQwXNYG/cM551CzuYyiusGzhuxJdfUqysquYc6cOXzikaozd+5c1q1bR2rq0yQlXTWAPew5qns50NowiNhsvS+5eODAjdTVPR7wnsXH38DoUX8n0VlJsymGZGcpcc5DHAgdT6yrhl8eeoyJLf8hPBzCw0GSIGkYWDbl+3GKd+0WFwRBk/38ZVQUb9x6K3z/Pe1lh5BkCAtFKYQRGtrrazYwGEiMGbJB/yDLIAzetCeLJSXobHKwBnEFQxCUsbRabEIQIryKTfRtrN2dGTiCQI11BG2mCIpDx7M56kQaLMM4EDaBB9Mf581hN9DaCjU1UFenqH59mjRBO4c/t/gf/vAHwsLCsFqtXtfbOYNe3dRE+J//TPjatcRszydxRz7fNjfDjz/26ZoNDAYSwyAb9A+SMueRB+lPqrj40qClCw8cWDTQXewRra01gKrMZSY29jxkuYXY2AWAWXPvqvv1hoqK24Les/Ly4MIqZWX3cFfxFZwZcSo3jl3L3aOfp8o0kuHN4ewItxGKqHOL/+EPf0AQBObMmYPdbsfh0Fev8k7tsne82oFW4ITdu2GUf6U1A4OhgOGyNugfOqKsC2tjuWHc4CvTt3GjqEulSUt7htLSa6CjirMgCOTl+XOkDl7y80UiImYzfvw6tm2Lx+Gox2qNZ9KkWnbtmkNLy2fYbL2/Ju97lpDwG2prH9P+7uqedUZs613n0a46ypq/ZW/hOUREzKe19UPNXe1NT1K7NmVnM3XrVvCaWRsYDBUG53TGYMgiMPjGdw5HM6DMJs3mJGw2maSkq7DZJMzmJG02qe43VLDZJMaPX4fdvgOns4GZM2fidNZjt+9k/Ph1fTLG3jNwm01m9OiV2Gwy3Z2Bm0yC9p6fL1BScjsATeZ4DpRcC0jY7V9rbnG1TVBSoIBuBZZZgIqRNiZHRMJbbynLJ0VFiu6ngcEQwjDIBv3KYDTIVmskEEF8/M1MmVKl2zZlShXx8TcDER37DW4kqZVDh56luvpJ7VVScp1ufbWk5Brd9kOHnkWSWrtoWU94eCKyDKGhp2Cz6SVGbTYnoaGnIMvKfv4oLb1Dl8YEcOjQQx7XUQ2AIDQjSRIvvPACkiRpRlmdmbtcLp/UrlWrVjFv3jwaGhqIiDifzeE2Leiahx+Gn/wEfvlLpWbzpk3+L9DhgHvugenTlVKSrT27P8ciNTU1LFiwgJqa3i9zGPQNw2Vt0D+ccw41W8oGlVLXsUhJyQ0cOvSEz+ddRSgPG/YbRHEYVVV/Jjn5blJT/9RvfWpr28WePfOR5c48Y5er1EfdC8BsTsPlqgHsiKKoGWsVz0hq9RhRFFmxYgXz5s3jkUce4YUXXtDWl5OT7+Ue0cHI+re50rGHD9LGMcYcSksrDBsG1rhI+OIL305feCHynr20t0NIKEoo4ooVcPLJ/XFDYOtWiIuDHTvgpz+FESO6PKympoZrr72Wp556isQBKGu5cuVKbrrpJlauXMlvfvObwDvKMvzhD7B+Pbz6KmRnH71OHuMYxSUM+ge3G1kGicEjDHIskpr6EK2tW2hp+Va3vtrW1kZqaioffPABoaGhuvXViIgTSE19iE2bFJdvVVX/GuQdO6aihFbpmT17NsOGDSM5OZmDBw8CiqFW8TbG0BlJnZubq9tPDSxrb2/X5SNXVd3Jc9Pasde/y0HJyZLScv4WmgVAZARYkyz6E1RUwPLlsHcvhw5BTS1YLTBiJITfeis88wzk5fX+ZrS3wyWXKC5zlAgFITJSMVwjRwY99PXXX+ftt9/mlFNOCW4Q+xu3G5Ys4e2XXwbg7bfeCn7+e+5BXr8etxvMixYpA47p02HBAoiOPkqdPjYxXNYG/YPLBTK4BWOMdyQRxXDGj/+G1NQVlJSUaeurf/nLXygvL+e+++7zWF8tIzV1BePHf40ohurWdPuLsrJ78DTG3mlMs2bN0oxxd/COpFZRU7sAH1e4S7SySyoD4AuzwGFTHBYzhEeglKVS2b0bzjoL1+dfcbhZETCREXE4FRETGeDqqxXjcu658N57/ut879kDf/kLLF4M27bpt+3YAUVF1NQoqV5794KzoVlZ2/Zm61a46ipYuhQaG3n7baXEpfp+RHE4FEP84Ydw6qlUf/wxX1dWMnPmTL766isOVVT4P+677+CDD2ioV66tvALavv4v7seeUCRSp09X7o9BrzAMskH/4HIhGwb5qJGcvJjs7K00NbWwfPlyPvvsMwA+++wzli9fTlNTC9nZW0lOXgz4rumWlvbPDLmq6u6OfymPEu8grM8//5yoqChAb6wLPFS1Akl0vvbaa37OKOrWywG2bMn2CGprYHtLMZIETicQ2REXcPgwLFqE06lIe5aWwtawGVyd/QU7w6drbcko6mKHd5Qg33sv/O1vyoavv1aMzcknw0UX0f7Gu7R98hVceaV+nTo5GYC2dqg+pIxT29pQjNSePUo/QEkTXLIE+/ebcH3wEdUnncTXX33VaRAPHerFt9FBays/nTYNQRD4aWqqIpai0tiI87zz2DB5Mt/+3//xza238mXFQf66r6rzvgoCK6dP59sTTuDbZ57h22+/ZcMHH+A86SS46SacLmXJXZYV5dOiIuXvw83gdAEXXdT7vv+PY6whG/QPs2dTta+JHYfT+X3WOwPdm/8JHI4yduwYxe9+9zseeughbe31sssu4/nnn8dkGoHQoS3ub03XbE7T2hIEM+PGrVHEPjw4cOBGamsfIyHhN4wevdKnD/n5nrPtHKBAyyX2VPcaNmwYDQ0NPsUw4uPjOXz4sN8iGVFRUTQ3+0a+T5gwgRtvvJFHH32U3bt3A+iuTZRl/hKbRlSUsjZsSUzkIiBMEKk+BLW1YBcjuGbcFyAI5Lb8l9tLric0VDEyanB2SgrEjR0GL78Mp5+O261sN5mVybYsQUYmhE7Lgdtug3ffVQ7++GOqqqC2TlnCGZHsJj6+s//Ok08m/yc/wX3XXRysUgYO/xGbWNlSxbbt25k4cSJLlixh3rx52jEmkwmbzYbF4uWCV6mpUSz/f/8L992HkN8pkyrbbHD66RASAu+/zys1dVxcvN+niblz5vDxp58yb84cPlnvGwfyyqgMLkyIp7oamg9DJcNZNuofPLLvTAQgIQHMFoiP074oxZOQPvREdwYKwyAb9A8nncTB/a1sa8nkj5n/HOjeHLNIUiu1ta8hy07q61fT3PwlaWlplJeX+wRQedNV4BeEYLO16T7xNLhKylMnpaV3UF39V59WvIOwbr75ZtauXcvixYt9jPXDDz/Mrbfe6teIH3fccXz//fdAZz7yc889x+uvv97ja7s+cRh3hqTTUK/Mgi8d/19kodNBeHzjGs6ofYU6SxL/jZrD1ZV3KQY5FjjrLOR//YuaQ8oENzZOmWWDMiFOiAcsFtqbnVgsyizxwH5YE3sRSY4yZji/YvRoqKwA0QSfWeu4+ICvQZw3Zw5rP/2UeXPn8omfnOzXXnuNCy+8UP/h88/D44/rPvrp9u1sdLm0ylklyVNJTlYqYba2gClU5paCCp52VJGZmcFTQfK8r73mGoqK9vPbqGSuFUcgIiBJird7acYrFIeOJ7t1I0uKrwYUm58yXBm0iCJYzCjR7PPn+1yP+t2vWLGCxYsX+2z/X8RwWRv0Dx1ryEZQ15GlrOw2SkquorT0epqbvwSgtLQ04Nqr6g7++c9/zrp16/jVr34VsGJTbu4un/N55gZv3ZrJli3p2ks1xqLYWVHLYrEEVPcCfKQ4f/e73wFKmlNsbKxOonPhwoWIoojFkq65wi+44AKOP/543bV1VY0qT4zgqtZU6uthR/hPfIwxwLcx87kz8zUeTnuEesswQDEuAPzrXxxuUgpmtLV3GmOT6LHE7HTS3KLsU1ICZebRvJd4JW8Nu45GZziFhUr1q4YG+HloHH9MHo6AQJbHNbzdcQ3vvPuudg1ZWVkIgsCdd97JwoUL9V/OVVfB449zuBkam6CkVDn/D+3tuuWJUyu2s2+fspxeXALlxQI3mkfy62E3UVFhZ+HCC/zmeZ+/cCFNpQd5LGwq/2eaSX7ISTid8E3E6fx2zBqKO7wpu8PzuGbcF3yYcAnt7XCgGIoKoboa3BLIf/oTdCypeHL77bfr3g2MGbJBf/Gzn1FZ5mZT23j+lGHUqj1SSFIru3fPorX1v4waNYpnn3024Oxm7ty5mEwmIiMjaWho0NqQZVlXM1mWE5g61Tfwav/+q6iv/wczZszQZqreqDPTiIgIHA4HbrdbN0OfN28eH3/8se4Yz2IYgiB4pEQpgiPeRTJMpgRGjPirrjjIww8/zB//+EfCw8OD1INuZXTSnfxedmKS3fwr4XLKQsd0eY9DpFae2HMaIUI74WEgCSJtrRKSBNeM+4IodwPLC8/h47BqFteW8syUKVxpNlNXpxjc9nZYnPUvaqxKqlNK+wFmNbxLpXUUp9X/kzTHPmQZ/uM+zK3yQYRwE6+vfsPnGi664AJCZJlXHnuMWYsWKdZ/507FNT1xIhx3HK9V1LGo0ne27S/lzJMzYxdzMHM5Lnctu3ZN56STsvnkk87vae7ceXz11R7Gj/8Bs7n7KVhmyUGKo5i/7L8QQVA8CFFRHTPlDz4AkwmSkpR9u6h//b+IMUM26DuyrKQ9YQR1HWlEMZyEhF8BaNHUgVSsTCYzISGzaWxs1JcupLNmckLCUqZOPUhr60Y2bUpk06Y47VVX96xPABX4n5lWV1drs13PWfVPf/pTQjqmmoKguL/ViOmUlJd1+8uyTHt7O2lpz+iKZEhSnU9xkN27d/Puu+9y+PBhv/Wg1aC2mJSlPD3iHp4Y+ZduGWOAdjGc34z9mDcTruNT0+lslKbyUexFXD3uS+ymSKqtqQD8sVaJ7L5p61ZkGQ5VK8b4nlHPacYYoDJkNK8l38Lncefy1/QneSXpVl4Y/kfeG/sR6RMKabFHs3z5Cl0fVixfTmRrKz+OHMWsF19UGn7mGSWl6uqr4Re/APBrjCFwtLrKhw0PgyAgCFaczkrmzz/Dq4DI6bhclQhCiN/jA+ESrZSGjuXWrPeRZWWWrPF//6e4rqdP577jj9fN4h988MEenedYxTDIBn3HregUyzK4jdT2I05jo5IWExExXYuy9qTTIG0jIeFCZFnWPfzOOOMMj4pNipHaufMnSFItktSgvaDzwT5nzhyt/aKiIs455xyfgUBYWBiyLDNp0iQf46uiGl9BEBgx4lc+fRsx4pEOWVMZsGj7HzhwiY8r/Be/+AWyLPutRgVuRDGq1/fYbork/cRf8+TIe7lv1DO8mryYNlOEtn1z5Im4TMrj0ymKiAKEhsE3MT9nX/jkgO0eNsfxcfyFfBZ3HuUhmQEN4ulnnMFBp4uqUgG5rg4eeADefpv6Bth/AFr2V7G6qk7Xdndd+AAZGcpsuLHxQyTJ0XFfbaxa9Rx5edOpr6/H7W6nsfHDXt2/Q9aR/DHzn0gSfLGznZyt28neto1xW5TXku++0w32br/9dsaPH6+9Jk6cSGFhYa/OPZQxDLJB31HdTTJIgrGGfCRxOqs5fPhrZs6cSXPzj8iyS2eQXn31Vb744gskycmOHVMoKbkc0JcuXLt2LbfdplRyKi5eRH5+BGlpz2jnCPZgVx/qLS2+AwF1Rqsab9WYLl26FFBmwG5t8CazbdtUvNOYKioWU1AwnYKC6YSFTQaGIcsWZLlBO4c6i3Y4HF5GepWuGtXBg/f334334kHCdQOJxyurcLRDvVlZf66uXkV+vkB19aqg7fgziLYOg9guuVnX1khFOcj/+hfU1dHcDHY7FBfDBWX62XF3dL9V4uMV93hDgzK4W7ZsGVFRFzN5ciWRkYu071Ld3hvKQzK5LetdznbsYKeznT0OB3tdygt8Z/G7d+/WXjt27GDKlCm9PvdQxVhDNug7LS1w8smUlcF30s94MP3xro8x6BJZdtLSkg90VkpqavqYqqr72L59GxMnTkSSJC677DJeffVVnE5nwLa6jrBWoqg3bozCZGrzm4b0ySefMH/+fG3db/ny5bpIau/1Sqt1Eg7HduhC37zrvkUiCC2IooggJGh65Nu2peJwlGt7jR2bT2npItradnWcP5VJk0r9tNczHI4SCgvPR5Y776/dvglRRFunFWSZsUIU5SGZuAUzdvtGQEYQQsnLswOKkS4tvZq0tGdISroKgKKiBdTXK0YvMfFqRo78C+Xld1BToxjyrKiT+Je7hREpEBMDhYWw15TNm8NuoLjmYz6rvQdQBlFms5m9e/f6RKvPnTuXdevWad9NRsbHxMfPRZYltmyJwmSykpq6iri4Bdox9fVvUVZ2FW63gylTDiMIvZ+7WQ9/y/d7TtD62d3qXaWlpaSmpvb6vEMRY4Zs0HfUWQ9GlHV/Ul//Jrt3z2T37hO0V2XlMmbPnsOECROYNWsWAC+88IJfY9wTF2Z2tiJukZd3mJiYa30KOgAsWbJENyvcvHmz5j6eOHEi0DkrttlkJk3a6lNRS33kdL9vIpMm7cW7OIgkuXA6KzCZzISF2RCESKKj88jN3UlS0mJMJjNOZzmS1PdgoYKCabS2bsBuz9deIOlmeBKwWz5Mc9sW7PZ8TB3ubFHs/F7Kym7SvcuyRFPTR1itsWRmvsmoUU9jNicyatQzZGa+idUay4HWHykMmcChQ7B3Hzic8GrSYrZGHkfj6Lu1VLSSkhL27NnjE8WuuvDVJQSbTdZmx4Igkpr6KOPGbdYZY4C4uAWMG7eZ1NRHu22MA3kFHFHHY7PJWCyjuzWLH22xIP/tb6QuWQL//rdWa/1/AcMgG/SdDpe1odTVv8TFLWT48CUIgkBmZpaHAVNmVO+//76HAVPSY4YPv5Nhw24Guu/CtNlkIiOnaucNCcnQ1nYvv/xyJk+ezOWXX86+fft07uUXX3yR9vZ2wsKOQ5IkzSWtPvxV1IpaghCJzeYmJCS3W30LCcnFZnNjtQ4nL+8w6emdAwRRNBMXdzFZWV+Qk/MjeXmHtW1paSvIyvqCuLiLEcW+/x5zcjbR04GE58ClqurJjj47de/dNYh/T1vB+oiz+Dzi/7gz4zV2RdhwuWooLFyAy1WDzSZjMk3Tzusv5cyfbjhAYuKVhISM8mtMQ0JGkZh4Zbfvk/eAw5vJk/eTlPSA38GeGmR4Z0gShZMmwyuvIG3fgXzXXYqE6f8IhsvaoO9UV8P8+ZSUwBfibP6eakRM9ieHD39OScmvCA1tZ/Xq1/yk+FxEW1sI6emvEBU1q+OYbyks/BWSVBzQhRkdfRFjxvimqOXnmwD/D/DuuL4FQSAnp47Q0NiA11RdvUqXxuTdt9TUpzW37mBh+/aJuN27de78kpISzj//fGpqaigqKtIMnz7tSMBkGoEklWtqasnJyxg5ckmv+1JdvZLS0ptIS1tJUtJv2Lv3fA4fflO3ZDBx4kS2b9+u/S0IAnl5/r/XjRvDkOU2nYu9p2ze3JnGNHWqf89Ebe0/KSm50K9wzO9+9zueiRrF/Mh4QkKUFLLRo0AMC4F//UuRAnM4lETvHTvg0CGoqoJRo+Css5SJQUMDeHh+hhrGDNmg76gzZMBlzJD7naioWWRnb8Fuj/RJj1m+fAV2exTZ2Vs0Y6wcczwJCRcHdWGGhk7wez5B0I/RuzsrtFjSiIw8F1k2BTXGyr4pQftmtQ4+ucWJE7eTkvKEboY3bdo0NmzYwL59+3Sz0MjISC6++OKO2b+E212m8y4cPHinFrxWUDCdnTtn4nCU+DutX9RI+6Ym9V1Rx/NMOdu3b58WUKd+Xle3z2973rP3nlJVtdKvV8Cb4uIrgs7ib2w8QH29Ir5itXR4q9vbYd48RUv8uOPggguQly2Dp57C/da7yI88ohS2mDtXqYP997/36hoGA4ZBNug7HQ8iWYZId9MAd+bYJFi+qNNZwYEDV3bUGe6kunpZ0IdfVdWdPudpbVXaUB7gZhITr+uWezkx8TomTy4hO/ttbLauH+rFxZcG7duBA4v6ftOOAN4DidNPP12nVPbpp58SHR1NU1MT+fn5Oi1u76hizzXp1tYNFBRM61YfPCPtm5q+wuk8pAmsqFHsISE/0eVyq4It8fG+udjdNaYqDkcJO3fO1AYTmzcPp6zsJt2Ao6zsNwEGHK1AZ7T8iBErdP1sE+DGsBnktubzXG01e/cpCmf2NmXc73QqRSwOVip2urxckSR1OJXqXc0twEsvKZW0hiCGy9qg7+zfDwsXcuAA7JHGcEfmGwPdo0GNy1VDcfG1jBr1VLdVkOrqXmf//os6VK6W43A4CQmxctttt2oPM9V9qbJxo6hzYcbELKKx8VXt70AuzPx8kYiI2Ywfr7ikm5s3sGfP8cyZc6of9/J6xo37lsjIGT26B959S0t7htLSa1AjsoO5VweSzZsTcLvrdGpjoaGhmhpaZGQkjz76KJdffjmSJPUgqlhk0qRyrNbhuvN1J9LeYrkOh+MJRFHE7XaTnf09ERE2BMFCfr6AyWRCkiRGj95DZKS1y4hxWRYIC+scHAiChays1ZrXQr0H3nS1nCGKcchyA6IoIssRTJvWqG3btCkGQWjp8DKEIMttiEII28ImYrEo4l4NDSAIilCZyaQUDnG6lJhSq1XxZkdGwogUMF9+Mfz2t736jgcSY4Zs0Hc8groKwyYOcGcGP3V1r9PQ8DZ1dd0fuHjmi7a320lJeUDLF1VnaKr7EqC5WZHCVGa6AjabzJgxr3RE5SoPaVmW/UbFZmWtoaXlcxoa1na0EYMgEMC9DCZTPD3B4WjW+mY2J2GzyR1iIPqIbHW/wYQkKZrcnoInbW1t1NTU4HK5aGho4G9/+xtut5vc3J4Hr3nTdaT9HNrbH9fNjnfvnkl9vVJ/2WaTkaR4bXbcnYhxkILO3nsT5AYiubkFyLKVmJgrdMYYYNq0RmJirkCWrZ1Bb6KL2zPfwulUZsItLdDcrDxu2tsVXfGtoT+lMGwiLU4roGx3SyiWewhiGGSDvuNQEv1lQJAH36xmsOG9/tcVnukxoJTfq6xcwqhRzzBq1LPIsqxzXwJERg7vKLE4BZtN/50ohq9TdME7Krak5NeAREmJEmFbWnpzUPdyaan/qNpAWK2ReKcxqagR2RDRsd/gwXsggaZKZ+74W2H//v3s3LmT448/nqVLlwaNKk5JeYKJE7cTiK4j7d/xG2kfF9dZiCIvr1pLj+qtMc3J2aG1Z7Wm+0TL//WvfyUyMpJ77rkn6IDDZmsjI0MRofGO7M7IeIbU1If0qXUNH3HJ+B/4zdhPuHrcl1wy4Ufd6waiOKv2RU4LP5F7Rz3beePcnR6FoYThsjboOwUFcMklFBbBDnES94x+fqB7NGhxOqvZti2FGTN+xoYN/2HSpINYOqoLeeLt1q6peZbIyFPYuTMbSZIQRZGxY7/ycV8mJy8hOnqeR0smzX3pTaCo2M2bLbjdLkwmM1OnOtm0KRxJUiJvTaZYxoz5iH37zsDtbgAUfe1p01r69T71FH+iG12huOJnMW7c5912uW/cGEVi4jWkpy/3uX/q355FMlRSUlJYv369T1RxRsYaYmPnBTmjQm8i7YPhL2Jc355SeMRkytYGDHb7Nnbvnoen+9ztrtYVCFHd5p1iJJHk5HxLWNgkn+/IM5o/LMzWcY6euc/z80U6pgJcNOFHlhRfTVYWhPx8Ltx3X5f3YbBhzJAN+o6HdGZh2KSB7csRoLl5Axs3htHcvKFHx8myk+bmDTQ3f6u9Dh16TAt+EQQ4dGilbntz8wZk2enj1k5MvJLKymVaJK8kSX7dl5WVy3TuTU/3pSeBAnnq699Hktwdn7upq3sPWW7DZDIRHf1zpk6tJzJyBlOn1hMd/fMO17cdt9vRx7vcN7rKgfVHScm1yHIbJSXXdfsYNR+6ouI+3f0rLLxY+9vtdmvyniqVlZV9Cl7rTaS9v9zitrZdbN2aidvdhMsVEXT27nJF4HY3sXVrJm1tuygoyMPtrsTtrtZeoKz3e2qU68VIDlNQkAf4+446PTe9dZ+rAiwmk0iY22NQaO9d6tZAYxhkg77jsYZ8LKY99ebBDd1b/wtkQA8dehGA8vI/apGqdXVKdSTFfZnZbfdlRMTPdFGxBQXTKSu7GVmWGTZsGLIsU1Z2PZs2xVFUdK4uWra4+FIEIZ6QkBmIYiRFRZdo0dxjx35AevpqwsJmYDJZ++t294qepu2Uld2D3b4FAKdzZ9B929sL2b59Itu2je94jaWyconuPjU0vIIsyxw8eFCbLdbUvOfVTjspKX+nra1dV8mqK1TDWlPzeo8qM3UawBvZujWVtrbd7NgxFadzPy5XKdDYhbJXIy5XKU7nfnbsmEpOzkatbfX3FxMTgyRJusFJTk6OTowkJ0e5v57fUVXVSl1fe+M+Ly7+re6831U91tngqFFd3tfBiGGQDfqORx7ysVjtSX1gd/Xg9qa363+RkSfT1pYPgCQ1e8weZObMmcP69es5ePBgkGChC6iosDN27HpGjlzGzp0/8RvIExERwb/+9S+tv0qFJy9JSKkJSaqltfVbGhreoL7+ZXbvnq0dEx9/HhMmfNfre+upONVbvGf7ZWV3aQYo8DF3af92ux0cPvxtwH137JhCe/sOHI7dHS8ll9dficP9+zsLPtjta3zaGjHiRr/Ba8GKUaiGtbz81h5VZuo0gC6cznLKy+8kN3eztl0QhKCxAZ6Ka7m5uwgLm0RurvJ/oKioiNNOO43GxkatLc8yneqAA2Dv3tnk56d4fUc3IYoiBQUFQNeqcmokusmUSEHBFDZvTqam5u+68+5s/CcntW4mfcdmkpcuZcSIEWzbts33Cx3EGGvIBn3nu+/gppvYsxfejL2ad4ddPdA96jcOH/6KvXtP0RSWxo79mqio43vYRuD1vzVr1nD++RficFhITv4z4eF5NDV9TGWlEj0dKHWmuLiY4447jtzcXK9UpHl88cVGnM4aba3O4Shh27YMQN9WeHg4kyZN4vDhw91OzxHFaCZNKsZsju2X++utONUV3Sn00LmeGUtISBaSJBMdPQNBCNOOqa19RFv/lSQJszmVuLhfatsFwUJKyh8wmWI6ZshK/m6g+/TUU09p9aA9MZlM2nncAQKNlKIegZWyPNeq1Tb8FaKIi1tAZuabgDJIKS//rfa7lWUZqzWeSZNqO9ocjiRV61LPnnnmGa655hrtM0EQEMUkpk49qO2Tnx8KdK6Nq3RHwU2vXiYTGRlJdnY2u3fvprm5GUEQghTGAH9FSro6r9lsDlp0ZbBhGGSDvvPVV7B4MXv2wBvx1/OvxCsGuke9wu1upLLyft3Dvr7+n7jd5dqDJNiDOxguVw27dk3npJOy+eSTj7XPJ02azPbtvqN49UETERGBw+HwCb5pamoiMTGRBx980K8EoTLD0T/cAwXynH322axZs6bLAJ/w8PmMHft+D+9qcPbuPYWmpi+JiTmFMWM+73L/7uTAfv75510aQUEQNGOVnp5OcXGxzz5RUXMZN67zu9q6NQNZLtPdp1WrVnH11YEHoJ7nCfSotdnkgAF2voY1hMzMl3Xa11VVj3fMoiXCwvIAIeAgxWrNxWQKxemUcbs3IYoioijicHTGAFitVs0NPXFiky7ava1tFzt2KApvgQYnI0aMoKnJVyCo6zxlMaCk5vDhK6mouCHoef1VjNq7dy9jxviKoQxWDJe1Qd/xdFkP4XrIhYULqKq6n+rqFdrL6SzVuSadzlLd9qqq+yks/GWXbQdS2rr00ksQBCVXWO/Wfg+A6upqv6kzH374IU6ns8PdmKdzX3bqKetnBv6kH0EpUjFx4sSgAT6jRn3Q78bYn+JUV3SVtnPfffpgq04U96uas61fJy8mJSWFxMREbTsMIytLn5Y2fPgdWq6xep9uuil4EJm3K9eb6Og/aC73qVOn4na72bIlXbfWr2/DQWXl/ToFrLKyP6AGSNntGwMER3Uc7diB3Z6Py7VRy11+8MEHdb/JBx54oEPZy+qTehYaOl5XYcqfm3nlys714Z5UHAuuKvcnbDYZUYzrVm53XGgosiwPKWMMhkE26A+0ovNDew05K+stLBal/mpP9Ju9H9z+8FeIXjWgsuwmPv4SysubWLjwfJ8HDeATfPPCCy8AylpdSMgsn8LyCQkJfmUQA2lIn3LKKUEDfDzzbHtDXyLOPfHMgT1w4ABnnXUWTz75JC+99BJPPvkkt956awAjqBgR1UjPnj2bYcOGkZCQAChR0DU1NR5GvAmTSW+MPCO41fukukM9NaQ98WcUPWlqul8zuuqszuUq7VHUsXd5xO4aQBV/RrArBEHA5XL5HcS98sorHe7uxG4Zz9zcXG29WhVcSUt7xm/w27RpdcTFLQ46eLwlJo66++/v8hoGI4ZBNug7uihr33zXoYLJFMPkyaU91m/2fnD7w1NpKyrqYs2A3teRK1lX9yLt7YdobKznoYce0h27bJmvJvWnn35KeHg4AE1Nn7Bnz+m0tGxEVeFqbW3tiJ7WawoXFZ3jdyby6quvBp2hFBdf3qd725eIc39MnLidsLCTsNvtrFy5kuuvv57rr7+er7/+OqAR9B5kvf7669TUKMFkN9xwg2acQQli8kb1OJhMJurq6sjNzfU7Gw82mIuM9PdbUYyuZwBST6KOZVnSBgQmk6nL3216errOMKtGMDn5bp2utCD4T2Wz2zuXDAIN4pTynTVERJwf1HjOmDGD559/Xuu7KMZ2qdwWEjI66OAx0xpqKHUZ/A9TreQjIoPczWLmg5lRo54gK+trGhub/D5IGhoacLlcOsGCYAQrRJ+R8TqiqKSrjB6dgdls5swzz9Q9aNR1UPXBGRk5H1mWaW1t7TiDWxeJPWPGDP7+978zZ84cvGdUqqiD90zk0KFD2ucOh0xW1ke0t0vaw7m9vaBP97Q/FKe8GTbsBu3fXRkwQRB8Bllvv/225qJetWoVtbVKwJMghBIaOlp3rvLyu3XGd9myZciy7Hc2rkYg5+Tk8NhjSiqOahSDGe709HSam5vJysrqkeTm8OG/0/XN06WuohrA66+/nqamJoqKirT8YUEIw2aTSU1V3MKCEKYZwba2Bp/7HhYWjywLQOAobZXGxn8GNZ7ffPMNJ510EmazuaOWtt7T4K3c5nLVUFZ2Q/CKUZWlAX8zg52h//Q0GHhCQ5FRnIKp7YUD3Zt+IZh+s0p3RSiCFaKPj7+AnJzdJCffSnl5vbYubLPZeO6555g8eXJHf5QH1bhxn5Gd/aEmOqE8UAVSU1O1h/vHH3/MlVde6XdGpT6EPTWkp0xp1Yk7TJxYS2zs6eTltRMWltfxuRuXq63X91MQLIwceS9jx66nosLOwoUXdCtlSwiS164Uo4DTTjutSwNmMlkICZmtzdaqq6v56quvNNlRp9OpXb8st/nkbR88eJdf4xseHs7FF19MVFSU3z7+4Q9/4OGHHwYUo2jvEKzwlJ307vNf//rXLg2rLKcgiqEdfbvHp28FBQVMnDiRxMREpkyZws9+9jMEQeCrr76isbGJ3NxdyLKJyMiF5OW16s6Rl9dKZORCv2U01TS1KVOqtEmovxl254xdCQ675ZZbyMnJ8ZNaFUFbW7vm+veXl52evpy8vMOAogOvLj+o5x027Pf6ylaCoMn5DjUMg2zQd/bs0TIS9geosTvUCKbfrD5selI7NjHxSkJC/IsVhISMIjV1ORERJwDKg+biiy+msrKSyy+/XAu+iY39P02JSR0MuN0yskwXecmdMyp/GtJmcygWSwahoacgCJG6QJ6cnHxSUh7DYsnAbA7t/g0MQG8UpwKhFnr49NNPO9YzDwcwYM2kpj6H1ZqCLMtER0dzzTWKMRdFkX/84x8dLlZllgn4ydv2vx7c3NxMfn4+TU1NxMTEcPPNN/v089Zbb+W7777zENwIHGAHsHTpUi0PONDM0u0Ots4M5eXl7Nixg9raWrZu3cry5cuRJIk9e/YgCCCKUdhsTsaMed1vLviYMa/7LaOpKshVVT0H4HeGDaYAgXUKnsYTWntUVKS+frV2XrBis8mkpz+gzOwxd9Z9zs8P2MZgxjDIBn0nNVXLELTIvjmKQ5GWlq8BxTi6XGFkZ3+P0xmqred2t3Zsd5FlicOHP8NkMnHppZdy8803s2TJEm655RYuvfRSTCYThw+vR5b1EdQmk4DNJgV8uHsXMVClH72ZNKmQ8ePXaTMRT5KTr2XSpP7zfASr7exPccof3oUeJk0qRRDkAB4NNwcO/Ir6ekX97O233+a9995DlmVthqv0y3cG3N21XFEUeeqpp3jkkUf89vfkk0/WRcDX1u7RAuxiY2MRBIETTzxRt0QhCEJAt2xP+gaKEQSw2+1IksTBg51BTz2pPqYWRrHbP1KCON1urNZMnTcB9K58z/VtJcZhOBCrM8DdKSridFbT0vK99n9v8uQy3faLx3/Lie5wBFkm3jqwynG9xTDIBn3HakVNsWwTIwa2L/2A2+1AlpUHmCDEYrVmUVLyG6zWrI7PulOIvWcIgkhc3CLcbjfp6em6SOz09HTcbjdxcYsQBNGvDnWg6Gl1RqWK8XvS0LCW/HyTVmaxu9TWriY/X6C2dnWPrxO8I86nsWrVKs3Y+FOc8od3xaiDBx8I6NGQZbkjP1fBU4Hq8OHD5OerqmgS33zzTcfau0J31nJDQ0OZNm0aV199dcBoa3XdWSUqKpTi4kuRJIl33nkHgG+++YZp06ZRWFjIzJkzkWU5YNSxvzVxf31T9w0NDdX1rbHxXY9/d6/6mHeaWmhoDgDt7TsClnNMT0/3mi3LuN0HMZlEHwPs6ZruOipf8InKb2z5kUfCxtI6yQY2W9BrGawYwiAGfeell3D97e/s2QOPpj5EfjfcjYOdnTuPw27fiiz7VjHqSuDAZIpn6tTaHp+zqGgB9fXKQ1FVYiotvalj3QxMpjis1ky/FXGUPFs3S5cu5cEHH6S9vZ3Q0FBuu+22jjW9BKZO1ctTbt06EqezAotlpM9sIxibNsUgSU2IYgzTpjV06xiXq4aSksXIspPW1m9xODoDb7799luOP75T/cxqTSM8/HgEwUJ6+sOYzYldtr9tWyoORzmg5MpmZb1HYeE5tLWp0dKJQI2mfqaiikyceeaZOBwOQkNDqamp0UQmLrjgAurq6gIqSFmtVl1VJ1UI5L///a8m9BEVFdWx7uv5qBVQ13m81bw8Fa0gjHHjOs+7b9//IctKW0lJK6iuvjWIupVMZORpNDevw1PlymQyI0lupk514HbX+a0+JstOWlo6gwABn8pigmDC7e50a48YMUJztauCI6WlpT4KXUofRiAIJgTBzLhxawgNHa/7PuvqXmP/ft/CG3PmzOPTT9cyZ8481q//xGf7g9YMbsqOJ+TKS6CLHPHBiDFDNug7Lpf2/30o5yF7MmHCd0ycWEBfa8d2l0CR2I2NilKUIvHYEDA31Tt6GsK6LGIgSdUd71U+24IhCC0d74HX+rzZvXsW9fUv09DwBk5nmTZbmzNnDscdd5w2KzWZTDidZX51swMhSS6czgpMJjNJSYvJzd1JaGg2ubk7SUpajMlkRhBqATMREWdjtaYSFhZGeHi4NstU3cROp1M3y6ytrfXrefjZz36GLMs6Y6zcE4HZs2f7RD37zns6//Zeb1W/29mzZyPLrbpUMLe7HoslB1mWcbkKg3pFRoxYQXb2J9oarRpRnpz8EJGR82ht/U/AXPDKynuDpqlNnZqHJLmYOXOm5nGoqKjg4MGDVFZWUl5eTmlpqe56PNfe3e4KXeEKb3oTlZ+b8GvmmeK6/L0MZgyDbNB3XC7t8SINYaUub/wVYu9OGorVOrzH5woUia0qU7ndbhISEvwOCv773//qoqRBZNKkoqDBMt5lFuvr/92tftbUvKgzIDU1r3bruOzszxFFJRI5ISGBF1980e/g5sUXX/TIBzbT1raNkpLbAf/lBAFE0Uxc3MVkZX1BWpo+UCwtbQVZWV8QF3cxNpuTrKwXcDqrcDqd/OUvf2Hp0qU0NDTorunJJ5/U1t4FIcKvK9x7rV4lPDycv/71rwiCwOmnnx5QLtMTzyUQURSpqalh+vTp1NbWMnnyZF5++WVdKlh7+14Aamsf70LdqrMe8JQpVUREnA5ARcUtHD68NmgueGXlPdqxiYmJXHDBBVx22WVMmDCO3/3ud1RXH/Sz5t75u+/J+ra/nO/eROVPSboB8xDNP1YxXNYGfeeJJ3A8/Rz79sED6U+wI+KnA92jfqe6ehVlZdcEdA+mpj5NUtJVR+z8XRWUnzdPKXIfEpKrFZRXKSq6lvr6Z4mN7czpbWpaAzRrrkRBiCI6er62XdHovo3S0t/r1LKam79GFF0eLkgLkZEn6o7LyHgOt7uJPXtOZdy49YSGZmvb9+49m5aWDxFFkVdffZWFCzv75K2b3dT0AWrxeZtNClqAobscPPgo5eU3A5CSkkJlZSWgL3wgCAIpKSmUl5cjCILOqKak/J3Kyq5doXPmzOGbb77Rgqm62vf1118nNzeXajWn34vQ0BGkp79CVNQsv8UmANLSnulIBessDpGX1+mel2UnFRV3U1V1HxkZmTz99FNB9KCvZf/+IuLiFlFXtxrwjbj2t3QjiiLh4eG0tbV1qY0uywm6whWBCKQDP3fuPL76ag/jx/+A2ZxIdusmlhRfRVYWhsva4H+YujrNAycdoz+p3gRN9SfB0mSWL1+OIAikpT3jY4wB7PZvATcNDW9oL0lq8imz6Lm9vv5lCgryOHx4Lc3N67UXOLxckA7d9sOH17Jz588oL1+ilfzzZOzY94mLuwqn08nSpUt9rsNTN9uz+Dz0vOaxP8rLb9P+rRpjwOteSJSXl2vb1Ohgm01mxIgbgRCPzzvxnhV6ymp++umnuv39qYZVV1ezZMkSn9QpQRihpYJ5B/QBupxyT6+ILMs6j0JvZp0ZGS8zceJOurN0ExUVpeUcB5LVVL/jhISl3TLGSr+7G5U/9OeWx+bT0+Do4lHZJdLdOIAdOXKoEbGB3IMHDvgGoPQV7yjo3g4KPN3F3U/jiSYnZytg7dFxYGXChI20tn4GoL170tb2X0BZOw2km+1dfL6gYFaf082UlLHuSVyq16TmgE+aVAGA3b4NtfygdyUpz2WN5cuX43a7CQ8Px+12c9ppp2kBW55r156qYYBP6tTDDz+MIFSxe/dpAYpNKHrqnlH+Eyb80BHBrOAtYNPTXHCzeRiiaOa4444LunTT3KwsiXhGggf6rYaGdr/oQzAdeM+o/BCp98I1gwXDIBv0nbQ07Z/tYliQHYcuqghFV+L3/UlJya8BiZKSK4HeDwrM5kSmTWsiOvqsbq2FR0efxbRpjYSFTcBmayc8PPiDWD0uPPw4bLZ2XK4qnM6GDgWseuz2nVpflFzSTcycOZN9+/YxdepUnnnmGXJycrjzzjuRJIndu23U1PwdWZZpampClmXs9i+80s2uZ9u23B6lmwmCyKhRTzFixP1YLGO6nTYEsGvXaeTnCxQUTA7YfmRkJA0NDSxYsIC77roLwEPeVGH27NmEhIToZpDV1dV8/bWSTqTKd4Iys1a+WzdtbZsDioB4F5soKJhGevryoAI2Xc06KysfIT9foKzsHs0gKucT/c58VU12NS8cQrrQRg9cotV7IOqpA+90Cj6FVNTt7aKHcI15aAaXGgbZoF9xdEPUYajhLULRlfh9f+EdBd3XQcHYse8zatQHPS6zOGHCt6SmvuL3uEWLFtHQ0ACkkZDwK6qrn6Sk5DoEQeCpp55ClmX277+A0tLfUVr6Ow4cuExnWB0OF2ppRG/jBbBjR2fEurchcjgKfAxRVyQmXklKyu1MnryXlJQnaGhoYN68eaxd25mLrd4Lq/UU7TOn03cpwBvlPii5zZ54zsTvuece6uvrSesYxI4fP5677uqU5fQU0XC73dp3GxER0aMof3+56p50NeusrlYMbFXV3TqDGBl5tt+Z79lnn92hgnZJh6ymQztGScGb2a3CFaAfiKrZB+p9EQQHZnMigqBEU5vNYTQ1rUGWJSQ8lhDW9iy3frBgGGSDfmHor94ExluEwpPuKAz1Bu8o6EOH3gT6PigwmxOCuhIbG78McFwSsizz+eef8/rrr2vHqdWSXK79lJZeT2np9TQ3KxWXtm9XjJjdvlWrH93U9JEurUdxIXf+ejIzM3n55Ze1FJ0jmW5msaRo/77ssst8qhW1tvrmmHeF2v/JkyczefJkTCaTrkzk5ZcrVbNKS0uRZZmVK1fy5JNPMmvWLJ566qmAkpMtLS3MmzePc889V5tFq7P5s88+u6N0YwhhYdPYt+/nPq5tbwGb0tIbAd/qY6rB7Fy/F3TpeG53Y9CCEi5XhVaQwlNWMzf3u24VrgD9QFQRzLlcWx5wu13U1/+bQ4ce6jifndTURxEEEZdgQVZN2rTuFX4ZbBhR1gZ9Z+VK2le9SGEh/GXUM+wOz+v6GAMNT9EMFX9R0JLUgtU6hvDwaT6iGTt3nkZr6zrS0p4JGO3tcJSwbdt4wB5QQAQgLKxT5UgQLGRlrWbXrhNwOks7PlMij0NDQ2lvb9eikFWRDTVy12q1smTJEpYvX05mZiZPPRU8qreoqBCz2axF5y5evJjduwNHlqvRuiZTtt9gtq7YvDkBaNRFLHvfC3/k5eWxceNGAFJTUykvL0cURZ815a4QRZGoqCjMZjOCIFBTU+NXRMOb+Ph4zSjPnTuXTz/91O9+wQRsFPEOE6NGva5Ls6uvf4uioosQBBczZsxgw4YNREScyejRjxESMopNm8KRJCXC3WSKJT39OYqLF2mfiWI406a1kJ9vISZmAWPGvO7Tr4KCk7HbvyIr6yNiY0/XbTt06EVKSi4jISGB2tpawsNPpK1tC5LUGaciitEIQov2vUVHX0R6+sPkOkqNKGsDA4O+4SmaESwKGtw4HLv9imbY7d8AwStQKS5d5cHZKSAC7e3tOgPkb03S5SrzWJMUGT36DS2lRy3IUFJSqluTtVgsPPjgg9x///1drNcqUb3jxn2mKz6/fft2nniiexrdvcHtrtNmpKox1Rc+6MRzpj5qVGeRkIMHDyLLMgkJCTpJzmDHq0iSRGNjI7W1tZqnYfbs2bzwwgtB85ffeustP9XHBJ/zBPMoyDKMGfMdYWET2bo1ky1b0tmyJZ2SksWAUze7bm7+N7t2nciWLema4bVaT2Dq1Hri43/BtGmtREf/vCOy247b7dAKV/jD5doHQHHxFRQVXUJh4YXaq6RE8SCoA47W1q+RpCadK1+SmnSehM7/C0N/bmkYZAODbtJb7eeu6G0UdHb2V1ob3UkJGjfue01AxGq1auc5fPgweXl5WinHDz74QOcKHjv2By3aGJTo4gMHLgE6RS0EQcDlcvo1nuvWrcPlkmltjegyqte7+Pxbb73V63SzsrJ7tMAkl6tG9/Dfu3eBrv9d4TmgePfdTh1ol8sFQHV1tY8RVb/L0NBQ7fif//znPobb+zt/6KGHtL55i2jccMMNnHHGGT6uYpMpvocCNhKRkT9hx46pOJ37cblKtRf4rtd7bgNwOH7QXcPYsR+Qnr6asLAZmEzBCzuoLmlZrvYZiIKsGd/MzEyefPJJIiIifPKuvb83p7OSt3bP4aTWzYwu2My2ioqgfRisGAbZoF9QHzHCMbwC4h313F/0NgrabI4F6DKAB5TBxM6dEzCZkoFhSJKkO09+fj6PPfYYycnJXHTRRezfvx9RTCAp6Rbq6p7w02slKMf7wR3IeCr1lA91mUtaVnaTbo3yk08+6XW6WVXV3dq7txdCLaTw05/+lCuuCBzxqxrLpUuX0tjYyPnnn++3gERISIh2/SpFRUWcdtpptLW14XK5aGhooKioCFmWEUVR29f7O1fXz0VR9In2fvzxxwMG9HWVq+7Po5Cbu9nnWnujrlVZ+TD79y8gNlZf79sbfWyEBITqzr1u3Try8vKIjo6mqKiI6667jpYWRarVc0nA+3fndtfgkOqpxc1Bt5u8Bx8M2o/BimGQDQy6SU+1nwNJPQaiO1HQKSmrcLmqdQE6XQXwbNuWR2HhOYCEy1VNZORMXC6Tz3muvfZaJk2axOHDhzvqA9dqwVieBHpwZ2VlBa241J1cUkHQa3KrRsvTxd7dyHKTSdDeA3khdu7cyYYNGwK2oRpLpW+CJrM5depUnfH11rTuCkmSOopHwE9+8hPtu/jtb/X51w0NDdosvDsBfT3NVQ8NHY/NJmMyJXdrMGgyJWOzyTQ1far7bVdU3K57B3y8EoWFF3LgwCVeUqFWTKYRFBUVccYZZ3D66afzww8/0OShbaDSkwHDzosu6tH3MVgwDLJBv3DszosVutJ+bmvbzdatqbS17dY+U9dzg63retNVFHRZ2W9pbd0QsNydWmzCc7vDsQlVzAKkjtJ77UFms514PgSbm5uxWCyUlJRw5plnMmPGDFJTU4mLiyM1NZXCQqVmst54OnRrsoGiehsa3sZuV4yrWnx+0qTDHn+judRzcmq6jCwvLb1DZ9gqK//OtGlNhIbOpqioiHnz5nHWWWfpUpTUa83KysLckceqzmz//Oc/a5HPgiDw2muvIcuy33Vjk8mExWJh4sSJPts872dcnJK68/333yPLMt999x1///vfA7rR3W43Lpe9Q5xEwTvKv7e56lOnHiQhYWm31bW8f9smk6x7h+7HRrjdFdq9Vgcf3vcqJiame94jRNom2Rjz06Ep32sYZIO+4+Gmloe4uDt0b2R/4MAi3fY9e+b6SEX2RuqxuPjXQR+ogjCCnleg6kQ9JiYmJmj6CkBCwhU+D0GHw8H555+Pw+GgqamJhoYG7aWuTy9evNijpnCnEVMNqFrJatSoZ8jMfBOrNZampjWEhsYiywLh4fOx2dp16WY2m0x4+HxkWSAsLF5niCSpTBeYtGVLOtXVf9V9X9XVy9iyJZ22NkU5TJIk9u3bp0svUq/1iSee4Ikn/LnpFVSDopaM9BwwqOucDz74oJb2BWgGXnVj5+bm8vXXX+vaVV2z/qojdXKYggJ9FoNnHeGe5Kq3tPyHjRtj2Lgxio0bo6iqWhZ0MFhVtYyNG2NoafmP7rddUXGfbvBTUfEg1dWraGvbTk+V3kJCQvjuu++IjY3V/fYaGhpYvHhx0AHDmKhFfB8+NNOdVAyDbGDgRXdH9vrtivaxKhXZnXVdf7S3K1G4y5Ytw+GQycr6iPb2zuL2srwvaAUqu93OjTfeyBlnnEFRURGCEN2RJqJfr1RdguqD+6abbvISbhAYPfofZGV9TWNjk+4h6G3o1YftWWedxdq1a1mxYkVACcoJE3bqjo2LW8C4cZu1XFKbzc24cf/StuflHSY9XTn3uHH/wmbrXEdUDVFPApO8UY3EGWecoVPP8tSy9rxGT4Py8ccfd7jiO79ndS25rq5ON3v2nPkp36P/ALBABkttS/EQ6O+hujRSUbES6H6u+q5dM5HlJmS5GVluBlxBB4PgQpab2LVrBm63m5CQENxuN5WVS3SDn8rK2yktvbqjdw4gkqKiIv7v//6PnJwcXnvtNcC/Ktrvf/97Zs2apbnqPQ3w6NGjgw4YIi1HVk/+aGAYZIO+4/HgORaCunoT9azqFjscdeTnx1JWdhOyLAdc1/Un9ehytQESJpOJsLA88vLaiY09nby8dsLC8joeqG5crraAATyzZs1i/fr1mgGQ5SYkqYnRo0djMplISkrSFKXUv2VZZufOnR25qbG6B7fJFIMgoHsIqkZbLQ6hGvnrr79emxl7P2wFIbJjlqsvRA8QEjKKxMTeB8r1NjAJ0AY0a9as0RSz5s+fz913363br6SkhLPPPptzzz2Xk08+menTp3PyyScjCILOGKmz3E6BDf/lSNV+fvPNN1r7gdyxnpHZoijS1KTPO1bdxgcP/p6eCNiMH/+9rj/e6/V33nlnwDQw0K+bew9+PL0G0AyEamlyN3nkB6uzW/X3qg5ER41SItk9DfANN9wQdMDwY3VnucmhimGQDfqFoe+o7iRY1HNrayuvv/46Tz75JGeddRYHDhzQjuuUfuwssBFoXdef1KPZHIrFkkFKymPk5OTrtuXk5JOS8hgWSwZmsxKZ6i+A56mnntLco57s37+fE088kYqKCkRRxGKxcPHFF3POOefoZhljx67XPbhLS2/2eQh6PrhBMRLBXIkxMddqLtUjQU8Dkzzx7PfDDz+sXasnmZmZzJgxg9bWVnbt2kV+fr72kmVZM0aqgVaNkWeqWGdfle9O7WdLSwuiKJKWlkZjYyN33XUXM2fOJCoqSquprIqvqLPwsrIbdIM7WVYMnSg6dR4Fbzxd28p9+Rk2mwyEdih90TEYDEOW5Q6pzMDqc4EGP0uWLPFRHBs9+p/afXE6nT6z285zKwPRxMRzAEH321O9CvoYBU+vjl7dbChiGGSDfmHoz4t98Rf1fNttt3HVVVexcuVK7Ha7j8RhZmam1+ygZ1KPkyYVkpx8rd/+JCdfy6RJhdrf/gJ45syZw+9//3ttnxEjRvC3v/2NV155hZ/97GeAsn56++238/rrr/sR/b9M9+BuaVHWOdWHYFRUlO7awsPDueeee7qo7OM7Kz4SdCcwKS7uDs1omkwZun6rAV7Lli3TuZtLSkr4/ntlNql+7s8Y/fvf/yY1NZUbbrhB9z2r5RoBbZbo6Y51u93cdtttCILApk2b2LBhg1Y5STVCoihq+d4gewX1Kdt7WwXLZrMTF/drZFkmPj5epyk+adIk7d+e15yWlhbQa3Dfffd5BaaJHDhwts5IqwVF1q1b1/F/yOIzEFW/As+Ie0+PgyAIHQMKq/Z5nb2jTva+fT2+D4MBwyAb9Avq4+tYCOryxDvqua2tjWkdOrneEci5ubkUFRXpHjxjxowhMjKSG264wUuYwY3VOrxPfQsUwKNW3gGoqKjglltu4Ve/+hUPPPBAgDSizllGe/t2XC5FNcrtdiDLbR3yhD8nJCQXu92OLMtYLBZMJhN2u5077rgjqCuxvPzoSRiGhKQHHRyEh2drXghQdJkXL15MTk4OgG52CyYEwYrL5dJmumrkdKCZ+LPPPstLL73U4aaPJi5uEbGxt2j96zQqFr/u2BNPPNHvdc2ZM4cJEyZ4BMvp+eMf/wh0b2nE/33LRBRF7rjjDt19W7hwIaIoIop670NJSQkPPPBAQK9BZGQkF198cYdHQNEr9xc9vmbNmo5/OYmLm6997q+gixrw570erlQkm48sQ3xYR7W58PAur3kwYhhkg37lWFhD9sQ76vm5555j586dnHbaaVrE7E9+8hNN0xj0KkJqKtDnn3/eEahiJTPzpT73q6sKVMEwmUzk5eX5PNzVh9yOHSd1/G0lLGwG6emrGTv2A23dWhAETjzxRFavXs2MGTN8XIkJCb/xciUevd9EScm1XZb9U70Q6oBG7b+3i1kQJPLy2oFYbSCzbZuScuQdcKTiuSYqy00dwYEPeOwR0bEk4PTrjvXUpfYc8Kn1kt955x0fb0tGRgZ33XVXt5dG/HHw4J1B75skVfvELKSmpnbcJ73XIDo6mqamJvLz87GrM1b068zeXiSAHTs6++mvoIsa8OdvPXzcuH9x0YQfOy9oxIgur3kwYhhkg75zjM2KPQkU9ez54GxpadFSf6CrB08rO3f+pM/96qoClcmUoPtMfVimpqayYsUK8vPzfVzpbrcbWVYq86hMmPAd8fHnaX97rlvn5OSQlZWlu76srLWMHr2yw5Vo1j5vba3p8zV3B++yf8nJd/st++c5oFHezVitmaSmPuknIrnB5zxJSUlBZ+JJScqgSBSjPSonmbQ1Xn+eCv11CNTW1gZcD1+wYAGHDh3i+eefZ9u2bZjN5j5VwfJ2D8fF/drrvvnGLCxapOQ033mnkuqnzqBXrlypqY2p99FqtWqu/Xnz5vmtapWbq++n53r4gQM3kp8vcOCAUqXKez0cQJQ9lo+G6DPJMMgGfecYmxWrdBX17Im/NcXw8HC/D54JE3pWJjAQwQJ4Jk7slDb01FJ+9tln+e1vfwv4C3YyMWVKvSbJ6Q/vdetXXnkFWZa12ZKn8ITN5iQ09BRkGcLDE/t+wV3gr+xfauqf/Jb9s1ojkWWrx/fjJjX1UZKTr/WZganVrVREMZHq6uqgM8rq6mqio89ixIh7fdLfGhtLtH4G4tRTT+Xxxx8POAtvamrC5XIxYsSILjSru14aaWzcqcl5gojNJpOZ+WzHoErU+rl//8W6a/aMjAZwuZRiGa+88gput5tRo0bhdru1/HWbzcb06dO5/fbbfdzXYWE29u37ueZq37t3vrZ0AlBb+5ju3R9uwTeYcahhGGSDfuVYWkPuKuo5IuJkACwWi+a+njp1KsOGDSM8PJx//etfftfNdu7MIz8/nPz8CJqbvz1CvY/UZmFOp7NLF6vFkofN5gpqjMH/ujUIFBcXd2zXRyiPH78Om+3oRL8qwiImIiMXkpfXqts2eXIJgpCGLMsUFp5Gfn5nXq8/sRens5zY2F9QW6uUWVSNks0mM23aIZ8Z7jPPPOOTIuR0lvuVNS0vP7fDPS4QEpKt7e89qLvxxhuDzsLtdnu/VMFqb1/XcY2jdHneyvW6sVp/1jEgadRds3eQFUjIsozD4eDyyy/XKlipqWC7d+8mPz8fSfJWltNXGLPb82lq+oi6uje0lv25uL0R8PidSUMz4towyAb9yrG2hpyYeANlZddRWfmwzzanc1/He6cSl8PhwG63a2tn/lWX7B2vVnbvPuGI9NtsDsVsHo0ohiBJykMs2MM9Pb3r6Nyu1q2DSVkeLQKV/du9exYu1wEA2trUtcZ2xo4dG1Dspb7+ZQ4evKxDIjOtY8aovw+RkZEUFBTw448/Eh0drTtnMFlTBRft7Z1Sq96BYupsO7BQB72qguVNY6OyPh0ePsrv9pycb3Uypp1BVlZiYq7wiVn48ssveeGFF2hpaWHGjBma+7r7lcyU35FaAGT//qt0Xob9+68LcCVDfzJgGGQDgyD4E80HkCQXTmcFJpOZpKTFREd3PiR6Ik6Rnb3piPV98uQi0tIeIzx8ekefgwU7Xd5le12tW3sH2gwmsrM/R5Vx9JxtqTP7YCUubTaZKVP2a20p7m5FDOaWW27R7qeaqgQ9FygRhFAslhM0L0Zzc7PPLDw09DgiIy/WqakdPHiwx1WwPHE6qzl8+GtmzpxJU9NXOJ2H/O7nP8iqjYyMZzq+++v9Xvu6detwu92MHz++mzni6ciy1NGfL9m4MYa6umd1Xoa6uqfYtCnO45VIa+vGbl3vYMcwyAYGQfAnmg8gimbi4i4mK+sL0tJW0NT0tLatqKioGw8eCzabTGTk1CPa/4SEK2ht/Y/Pw91sNuNwODzSnQq61V5PhCcGE2ZzIoKgPO48Z1tqXnBXJS69UdvyDPaT5c41zO7WJVYHB6LoJCREkRj99NNPueCCCwBl/f/SSy9FFEXCwqZo+t/qcQ888ECXmtUqsuykuXkDzc3faq9Dhx7zqGkNhw6t1G1vbt6ALCseoGDf/ciRnSl1/q59586dXH/99bplE6fTyYYNG7jzzjtpaGggPn4xUKIzvrLc1HHuPOrq6pg+XR1cNni8atm58yfIxgzZwODYxZ9ovicZGS8SFaUUGPBO7Qm2XhsRcT42m+PIdr4DQRCRZWVdsDMS+iPcblFze3pKcg4kPS1X2RUORwk7d870UbTyXtdPT09n+vTpLFiwgIaGBlJSVjF27PsB2+2OxGlXa/YpKU8wbNg1XqUWn9P2+/DDD5FlGVmWSU9PR5Ik6uuVZYWIiNO19KyeLB3U17/J7t0z2b37BO1VWbmM2bOVHOdZs+ZQWblMt3337pnU17/V5b1WZ9DDht3qV/8cFFe257LJ6aefzsyZM/nhhx8AqK5W/n+pLv7Zs2drx/7444+ccMIJ/PDDDzz00EM+XgafQEkv7fChgmGQDQyA9vZCtm+fyLZt47WXP9F8z+3bt0+kvb1QS+nxLhMYWLlqwlG7LperTYsSFoQUbDbZx3i43W4sltGaJOdA0ZtylcEoKJimK1Wp4r2uX1paSn5+vqbUVVr6a01Mo6FhLfn5Jhoa1mrHd0fiFPRpUYsWLWLKlCkUFBQgyzIHDz7oE/AF3sFLUbS3t+tc1EBH5HckiYmLmTKliu3bf0p+vsD27T8NunQQF7eQ4cOV33RmZpaHS11Zq33/fc8c5ywEQWD48DuJi1vYrfutzqD96Z/v3LmTPXv26JZNPvvsM+3/ij8X//vvv6/1JytL6c+dd95Jbm6uX410XVBXYaH/Tg5yDINsYADs2DGF9vYdOBy7tRf4Prw9t7e372DHjimEhyf6VP0Jtl5bVXVnsK70K6rxSE19kilT9NWOVONhtWYyaVLRUeuTN6rR89Rk7gvqzBhGap/1bE1X0sQ0Skp+DUiUlOiLX3QlcWoy6Ssnvfbaa2zdulUTj1ECAn2jjfVpcocxmeKBTkPd0HAA0LuP29t/0L0HWjoQBAsjR97L2LHrqaiws3DhBQFc6hdQUWFn7Nj1jBy5DKGH6UT+9M/z8vK05QHPCH23W4nMLi4uDurit9vtrF+/nmXLlvG3v/3Nr0a6Wfb43fjRcx8KGAbZwADIzd2i/burh/fw4Z55nSY2bVIKzXvPdjpFH8w+pQ2PJj3Rxx4IVKMH9LhcpT/UmbHbvc3jHD0rOqGKaUhSdce7PoitK7zTw5KT/6pty8zM5OGHHyYsLIxvvvmG8PBwreqT92/I7W4BwjTRFrNZXxYSupcS5ElU1Cyys7dgt0eyfPkK3bbly1dgt0eRnb2FqKhZPbpmFU/9c5crjOzs72lr0wuFeLvZZVnucPHr+/PQQw9hMpl48803eeONN7qnkS4DfmqBDwUMg2zQLwz1ZKeQkCxsNhmLZXSXD++DBw9qxynlDRuAYIXlO9ez1AdSc/NB/lfxXttVjZ3JZOpRucpA5ORsQn20qYOrpUuDF53wrFeslqGsr38fSXJrwiH19f/u5vX5poelpv5BE9ooKSlh8eLF2O122tratHfw9xtqR0mRU/BOk9u2bYpuVr19u61bfRQEK05nJfPnn+G1rHI6LlclghDSdSN+8NY/nzq1nsjIGdhsLciyiNvtRhAE3O7OGIopU6qIi7u+w8Wv78/8+fNpampi1qxZXWqkO3vZ58GEYZAN+pWhLgwyefJ+kpIeCPrwjo39rfZZT1yhMTGLtJlOZGTfCksMZbzXdj0NSmFhYZ80mQGs1nRsNjchIbna4AqC52EDhIfPICxsOhBGcfHlHDhwSUDhkMLCCykqukSnJtV5/sDpYYrQxim6z3qaIpWfL2gvh2Orro/t7Rt12/PzBerq3vbpY2Pjh0iSo8OtbGPVqufIy5tOfX09bnc7jY0fdutee+Otf66/dhcZGW8RFjYDk8mq2xYdfZyHm1vtj2J8nU4nDoejS410XZT1ENVDMAyyQb+g/lc4FoRBrNbUoA/vuLiTO+QYI7vlClUDTxobXx3gKxtYXK4aioouISLieO0zQRB0BmXRokXExMRwxhlncPLJJ2v3tLuazJ6oxTAaGxtZtmxZlyIbyiDhR2S5lYaGN5CkJt2M1Z9wyK5dJ1FYuMDHMAdLERo+/LeIosjf/vY3LBZLN93ploDXGdgzo7B//wKfzxoaFCO9bNkyoqIuZvLkSiIjF2nGTt3eG7z1zz2Jjz+PCRO+8/ncuz9jxmzXGd+4uAVdaqQbBtnAAHRC7sKQd15DcfEVQR/eBw5cAigP3ZiYa4POpj0DT3q61nessXv3LOrrX6apqXPmJMuyzqA0NTXx9ttv89FHH/Hll192yC6G9LpcpVoQQU0TUtd0FyxY4CN1qdJ9RaloEhIuo6HhbZ3Mozfe6VyeeuCiKHaZIqWmyWVkdKYf9WRWnZHxsa5dWZZoavoIqzWWzMw3GTXqaczmRC3H2WqNpalpDbJ8dOQn/fUnOjobEAgJmejTn6OtkX40MQyyQd85xgwyKDrI6sN7xIgVXg/vFm3PkJCMoLNpNfCk+/J/Qwt/aUGByM7+HFGMAro2KMnJyR1HmZkypXvr7f76oho/6BwIhYaGMmFCZ+qZmnoDEB19VrdmrKpwSHOzUs9XlXn0h3c6l3fAV0TE/KC/IVFUavvGx5+nyXd2N0jNZpOJj5+r648giKSmPsq4cZuJi9PPnuPiFjBu3GZSUx/VxE+C0R+544H6Y7NJTJy4zW9//Gmkix2BgW/W1yLceiurV6/udZ8GCsMgG/QrQ10tp71dUQYymUyIYjQ2m0xKymJsNrmjlJ5Jt19FxW0+s+mcnByWLFnSEXjyGzZtijtm5f8CpQX5w2xOZNq0pm4ZvaoqNdArtsuCF8H64lnzWJ0le0e8u92WjjxtgVGjXmXUqA+CzlhHjfqAsWPf77bspJrGJYpOXcCXOjhpaVkT1CNTX683djabjMk0LWgfTaZpmvH2R2LilYSE+NeuDgkZRWJi198n9F/ueH/0R+owZzdUKoORa665pk99GggMg2zQrwz1GXJISLQmmj9tWqNu27RpjcTEXIEsWwkJUQoJqIEl6mwnIeE3ALrC7IGisP3J/w01epMWNHbs+10avU63fn2v++Id7SwIkQwbdis2m6xTtJo06RDDht2KKqZhNif4zFi3bt2qzaodjopuy04ePPiIzjNSX/8yasCXKknprzZyV2ly3fXMHGk8BxuDhZaO++WpLT5UMAzy/wBq/dHbb7+96517S8czY6jPkKFTNN8fGRnPYLMpKSqtrTW6Ork2m8zo0SuZMKFTvakna32q/F9t7Wry8wVqawe3y623aUGAX6OnGhRvkZXutOuvL97Rzp6BVt6KVp5iGsXFv/aZsU6fPp2///3vyLJMaemvNdnJsWPHBZWdLC9f7FN+MTQ0m+bmL3RGTBkcCNhsMjabzLhxX3p8DpWVepd4U9M/g86qGxtf1vZ1uWr8Bp51RVvbbrZuTaWtbbff7VVVK31qPQ8kAjLvO2t0fXr11aEVSCnI8gCGo7lcsHEjNDd3KqtIkhIhd+gQtLVBfDyEhiqfqS91H/WlIgid65nqv/195u/f3sd4t+n9uSdd3UJBgJAQ5VVbq1yrIHQe592uv/MESydS2/Jsz7Og+nHHIaPYTOm773oXgSjL4HAobVss+j499hiOHXvYtw/+mv4UOyOm97z9IUpnXd1Q8vLsXttMmM0ikZGRrF69mrlzO9fyPvnkE84//3yam5txu0N1ikObNsUgSU2IYgzTpjUclevwprl5A3v2zGLcuM+JjJyBy1VDSclibVYH0NS0Bmhm+/bt5ObmIghRREfP17YLgoX09Icxm30Db3bsmExb2zZuueUWHnnkEWRZRhRFJkyYwI4dOxBFUWsXIomJOdPjaDdutz44ri998WbjRrOm/y0IVlJS/kpFxa3a9szMTEpKSnC5XISEhNDW1kZLSwslJSWUl5dzzTXXUFTUqXw2Z84cPv30U0477TTWrVvn0SeBGTNm8P333wORJCV1uljr6/+J212u3Q+LJQ2rNZuWlnVERMyhpaWzHYCQkJ9oSl1q23l5yppqdfVKSktvIi1tJUlJv+ny+lUKCxfQ0PA2sbELSEtbQWHh+brv327fhCii3XNZFggL60xNEwQLWVmrtVKQ1dWrKC29mrS0Z0hKuqrb/QiE01nJ/v1XaH2KcB+mzv5f3B6/HYvFwoknnqgdY7FYeO6550hJSenz+Y8EA2eQW1pgwQLF8BocUcybN+N2uxXR+6lTj8g5HE7Ytw/uT3+Sgoih53rtLZs3m7V7O3Wqi7a23ezZcyrjxq0nNDSbAwdupK7ucebMmcMnn3yiHTd37lzWrVtHfPwNjB69MmibRwuXq4bi4msZNeop9uyZg92+hbCwqeTkbGLHjkm0tfkWvA9kbFRCQyeRm7vV53NPo+ePrtrtzTGB+uKJy9XG1q3hiKKI1TqFnJx8CgqmYrdvQRDCEIR2RFHU8skFQdCCxj755BN++ctf0tzcTFJSEi+99BIjRyrynVdccQVtbW04nU7a29vZt2+fNujIycnp0z3wXCvOzxcwmUxIksTo0XuIjx/D3r2n0NT0JTExpzBmzOdd3keVbdvicTjqsVrjcbvB7fatINVVH02meKZOrQVg48YwZLnN7+C1N2zdmobTWdbjPqWlpfkosw0WBk7w8+23cVcdorxMmQiryD7/8FKBkn3/1iH4+ae/CWfAPwJ85KfdnoxkRAFEkzK5lwJkExwJZ+9fWoo1F86GDRv49ZZi/uBRiLzfRmMyyIhUWv0HZhyLeLrsNmzYQFXVkzQ3r8fpLKe8/E6yst70Wet75JFHuPnmmznjjDNYv369z1pfTc2LujZral4lMbF7tW37Sl3d6zQ0vE1U1Ck4nTsBtPfs7M/Zti0TSTpMZmYmTz/9NCNHjiQ9XZn9vPfeez4zRLWesDee1ZJEMRe3e3+P2hWEyA5jbu9zX7xRtb+Tkm7T5EbVeyDLbR3udCuiKGmz+ieffJLrrruO5ctX0NYWh8k0nEOHClm4cCGrV6/mwgsvpK7O15ipMQUnnXQSX32l9C3Y9UyaNEkbqCkBavHYbLW6Nm02mY0bk5DlQ8THj9EFnm3YoASeWSzDurwPdvsOnM4G7XeYlfUp+/bNBaRu33Pv3HFRdOJ2999684QJ/2Xr1tGAo9t9slqtbNw4eIMnB26G/N57yPfeS2UFNDTC2vhFNJtikBAZ7iih1jKcExv/zSHLCHZE/BSHEIIsCMiIyAjaWqUsKH8rwUSyJkwhaHspn3dcrJ9tKsqxnp93bu/c5g8ZQVOoEmQZWRB0AhkCMla5jVDJTrSrDocYQpUlTbe9K/zt4/1Zmb2Cl2oeRfKoetIqN+vcf7IsEy50VoEREbk48WZGho3UriUY0e56HEII7WKYz/7bI37GvvDJXV7LUMThKOmWy85kMuN2OzCbrVitebS2bgBg6dKlPPjggx2F5kO57bbbtKCdyMhOQYfm5q8RRZdHmxYiIztdboJgISPjOSyW/ne5qTOp8PAp2O1bmTFjBhs2bGDs2K+1MpN7955Na+uaLt3w4eHzg5Yw3LYtS2f0etPu3r1n09T0L0AJiLrzzju7PCYQDQ1rKSw8k6ysD4mNPV37vLb2nxw4cD7h4eG0trZqn6vu5g0bNiDLMrm5uTQ0NFBeXk5Y2E+Ijj6X6uo7mDNnDs8++ywZGRlIkq8xi4iI0Nzdv//971m7dq3fe3D99dfz1FNPaeccOfJxkpP1qXOy7KSlJR/o9Dw0NX1MVdV9bN++jYkTJ5KcvITo6HkeR5kIC5tAXd2but92ff3rtLZ+q/0OIyJOIC7uQioq7kEQarr8nkymbCZO7PSoVFWtpLz8t0H731t27jye9vb/IIoir776qqbM5t2nn/70p3z77bf9cs4jxcAZ5K1b4YorKK+Axka4ZPwPwddJDbokP9+Cp26ySteuLzM22+CJkhyMbN6c0C2XnfeD2puEhN9QW/tY0HN19X1ZLGlMnhzc5XbgwI3U1j5GQsJvfFzinrjdjVRW3o/L1Uht7ZOkpKRQWVmpG8SZzanExf1SO8bhKKGh4U1OO+00v274zMw1OqPWXRoa1lJUND+ge99fu+r3YrVatQjl3vRl69aROJ0ViGIkiYmda7nV1Sv87m8ymdi2TTFykl+XVySi2MqKFSuYN28ejzzyCOvXr6e4uDioMWtsbESWZaKjoxk7dqy2PT8/32tg7btem5BwIaWlv8WbOXPm8emna5kzZx7r13/isz0q6jQOH/7Uz3GBf4eCIAT8noYP/yuNje/1ab25p+zffzl1dS+QnZ3Nrl27fPr0+vLlnL94ca/aPpoMXJT1s8/idIGzQ2PcROD1JIPukZPT6YrpSXRvTs7Oo93VIYd3wYIPPviAe+65hzPPPJMnn3ySM888E5vN5lOtB9S0FZH09FWkpz+gyf950v3vy8qECf5dbkVFV5KfL1BUdKVm9P0Zf1l20ty8gebmb9mzZw5VVfdTW6tEyFZWVgL6FC2ns5Tq6hXaq6HhTcC33q2acmM2J/Xw7ioEi7wO3K6SDy5JUp/6oqZMCYJdd62BmDNnDhMmTGDOnDkB9nD6REGXl5czd+7coOleSUl3KVfV1ER+fr72Au+0OV+t7/Lyu3pV7zgr6y1NzrS7v8Ng31Nl5b06rXKlFrV3qcnea5X7o719MxD4dzDiqaegvvspdAPFwBnk6moEAdo6BrXuHtbcNPAlLGxSh4BFXLeUfEQxDptNJixszAD3fPDjXbDgvPPO409/+hO33HIL119/Pbfccgv5+fl+dYWVmbJESclVlJUpqWc2m5OIiFMBgfDw47r1fYWHH4fN1o7F4j9SuL7+H9p7MJnO+vo32b17Jrt3n0Br64/a590fFCj/VwOl3BQXX96re+wv3ShYu56pTm63m0mTJvWqL/qUKWW2a7VaGTNmDDk5OZpqmOf9efttxci98847foyVGaVKk772b1tbO2vWrAlqzJqa9K717n8nIrm5Bb2qd2wyRTN+/Dekpq6gpKSsi99hGYIQFvR7EkUL3tW2utP/nmqVqzid1bS2bmHmzJns27ePqVOn+vRp0YEDcNppvWr/aDJwLut33kG+7z5KS5Wsp+0RP+PB9McHpCvHIiUlt1NT81BAt1Ji4m2kpz8wgD0cuqjpGzExMTQ2NgZdF/QMKImIOIFx4z5FFEN92qytXU1x8YUBv69Ro14nIeH8oP1So7NBv8YZF3cNGRmdOaKy7KSi4m6qqu4jIyOTp59+imeffZa33367y7XB2NirqK19RpcWlJn5PkVFZyPLjo7PzOTl9XwJxDvdyLtdgNjYC7R/e6c6ybJMePjJtLZ+hWe4omcUcnfStwI9EkNCQggLC/N7f5To6hbS0l7C6aylouImRFFEEBJ0FZ/UNLlAMQWCIHicX8BsNvV4vVa9zl27pnPSSdl88kmnlvXcufP46qs9jB//g98UsLa23ezcOYlTTz3F53e4fv0XTJiwjYKCCbp7lJb2DKWl12j3XJmhr6Gw8AwAYmNje9z/QAReJ/+L7vsbPvxuDh68C8/fgWyzwY8/+rQ5mBi4GfI55yAAaWlgtcDElv/w0s7pRLt81+kMek5IyOgulHzGDXQXhywWSwqiKHLXXXfx+9//Xps9BJtVpKauYPz4rzVj7K0BrChJBf6+LJYRfvvS2rqRTZsSyc+34Ha7EUXlv3Qwmc7Nm1OIiztXN5O64oor+Prrr2lqagrgTm0iK+trRo58GDVCOiwsj7y8dmJjTycvr52wsLyOGbm7I5K6+3hGXvtrV8Wz2pJ3NSblfnyJd+6AZ1/UAhddtePN2LFjefLJJwO6m5uamkhJeZyEhAsZPvw3BCq/6K3Kpc6cPYtcqLWEbTZJq1YVyMWdkvKEX2Pmr97x66+/zueff0Z7e1nAeseiGAG4/f4Ole9V0Pqo1npOSroKm03SqZ8VF1/R0V5sr/ofCE/vjvqqrFymfX+zZ88G4ODBP+P9O2h1OuGFF7p9roFg4AyyKMJrryEAo0fDyJFgEuHBwvOYdvgrRrXt6qoFgyCUld0U1K1UWnqttm9vlXz+V/Gs1vPoo4/idDqDPKhbyM7eSnKyPqDEWwPYs03/FaZ+pR3b0vIfNm6MYePGKHbutCFJtajBfKrLtTsynVFRs8jO3oLdHsny5SuIiYkBAq0NKzmlalpQSspj5OR0KpIB5OTkk5LyGBZLBmazrxcgGF21O3z4Q6iJgd13g4Yiium6vnSnwIW5Q6TI091///33c+uttwYdNFVU/FHb31/5RW8pT3/GTJZlRox4UaslrFarCnTOQEFQ/uodL1q0CJfLBbgC1js+ePABr9/hKt3vsK7uMQINNjzVz2RZ0ZcQhOag/Xe7m9m4MYzm5g1+++NNXNzCAOvk7wHw/vvv+6yT/0SIIBYRl90Cjz0Gn33WrXMNBAMrnTluHHzwAea8ycREQ1IyhEuHuaVsMcv2/4o7iq8mvW3PgHZxqCII+nJzw4b93ksft9Plo+afBishZ9CJd7WelJQHAj50wK0ZAE/UXExZbqOhYS0uV5lHm05Gj36DtjaH9n2p2wF27ZqJLDchy3qt3t7IdHrOpK688souBnHK4GHSpEItXcmb5ORrmTSpsKe3tMt2R478HTab1KNqTDabnWnTinXtdFXgYt26dbjdnevJUVFRCILAU0895WGU/N8fSQru3fOW8vRENWaCEElSUmfeedcDNf856v7qHYtiZ1xBoHrHjY3vascJQga5uTuB0drvsLHx3aC1ntPTl5OR8YpOxjRY/ysqfocst1FS0r0UKEGw9HidPGryAb4Nn8bBKnC5gd//vlvnGggGVjrTk8cfR37+eWprISwMnE5FZdLebuKR1OVsjjqx6zYMALDb69i5M7FDUciEzdaZDpKfH4LJpPwnmTChhrCweC3/NCrqOEymFEaNeqpbEoP/izgczWzfHq1bHywpuZFDhx4LuC44bNiNpKf/XWtDzck0m804nU4gBDUIyGrNYNKkTtnFbdsycbtLkCSJSZOasVjCaWn5D7t2zQA6hSTOPvtsHA5Hj2U66+peZ//+i1i6dCn33nuvtjYYGhpKW1sbohiOJCn5t6IYzrRpnaUnB4repEf5o6bmDYqLLyQ5OZlZs2YBsGbNGpqbu15PnjFjBv/5z3+IijqdpqaPAMUdPXFiU4fh7R1lZfdQVfVnkpPvJjX1T2zcKHa5XqtKZKrIssSWLVGYTFbi4q6jquoBRoy4n8rK2z1S8qzk5bXqShpKkovNm62IoomEhJtIS+uMMi8tvZXa2r8jSW6mTnUgiooXoadr8mFhP8Fu75T4VEVOzOYQpkzp6TJH99fJn959ChE0M26cItI0WNeSB09xieuuQ7jiChKHiUSEQ2xSCBkZEBnm5vKDfyXRUTHQPRwyhIXFI8sC4eHzdcYYwGZrJzx8fkceYLxOyefw4e9oaHibgwcfHaCeD378zXI8ZxUuVwQQjues4tChpygomK69yspu9gre6fyOZFlk586ZOBxKnvGkSUUMG3Y3opiAxaLUxTWZYrFYRgJWbZb37rvvcu211wZdr4uJuVZnjEE/k1LaNmGxpNHWIZ8XEzOf6Oifd7hT7bjdDgaa3qVH+VJZuQSAqqoq3njjDd544w2amrpeTwY47bTTkGWZlpb/kpn5JqCUcFQCynpPVdXd2nt3XNzQ6QpXkaTDREScRFTUQqqrVwISFRV/0MUVmEwRlJX9ntLS31Fa+jvKyv6ILLcQF3cxWVlf6IwxQFraCrKyviAu7mLNGEPP1+Q7jbGpo69SR5S8g8OHeyba4W+dXPkdnI7LValbJ38kdTmSBA0NHR/sHJypnoPHIIsiXH89fPMN/Pe/8PnniGmpjBgJSVRzbo3/6jsG/rHZ3Iwb9y/dZ2r+6YgRt5Od/ZVPCTmVmprHdCXkPEe/Bvr1QUly4XRWYDKZSUpazNSptdhsLeTm7iQpSV03dvrkZE6cOFFzjXquVTqdhT45mSNHLmHq1E7N9/LyJTid5cTGnkVU1KWaEc7I0Mt0ZmdnIwgCDQ0NfkvyybJEU9NHWK2xZGa+SVjYDNLTVzN5cgmZmW9itcbS1LSGMWPeJz19NWFhMzCZrH26d/1Ryaqn6VGBkKTOB3Ywd78+hUw5Rh3ASFIdcXELMJvjASgpubrX16WcQ9DePQd/KSn36oIAvatVeVJYuICmprXU1q5CFO1ae55G0u2u0+VbV1XdT2HhL8nIeFFTZfMmKup4MjJe1H3WnTX5goIC3n33XS1GASwkJl6LIETpnj3791+oDRDUQYLb3VkC1TvWxd86eV7edOrr63G723Xr5LvClcDAhgaQZODz7mt6H00Gj0FWsVoV42y1wpNPYo0JJzYOZjR9TJyzeqB7N6QJHKE4h4SEBA/DcFhXQq6+/q0B7fdgRhTNQWcVo0d33rvw8HBOPvlkzjjjDPbv348gKA9JSZJ88oajok4NGGTX2vqZ9h4SkqkZ4d/97nc6Q7VnjxJ/8cMPPyBJEuXl+iLygiCSmvoo48ZtpqWlgNbW72ltVdaW4+IWMG7cZlJTH0UQROLjz2PChO/6fL9Ug1VS0vvi8e3tBYBiFB0Omaysj2hvlzQjqW7vCre7Mz4l0Lr0Aw88oCvnl5Jyj089ZYejGVlWNKV7Uhfam9LSO3TnKi39kzb48w4CBHQlIz3JynoLiyW1oz+d7V1zjXLP/cUVWCxpZGX5X1cORldr8uqa7oIFC2hsVI2rk5qax5Hlw0EFaNRBgop3rIu/dfLIyEXa78BznTyzTflNxMZ2uKxP77mS3NFg8KwhB+Jvf8P98qsUFUJ+yHEs91iLM+gZ/8/eecdHUeZ//D3b0nuHkJCEDqFkOQXPfijKKahgP/Hs5U7lOMspeoqoZ9dTTwXL/U49xXYnFkRF786KJQgECKGkdxKy6dk28/tjdiY72xNC38/rta/A7swzz8zszvf5ts9H6T9tbLyfYcOGc8stN5OWlkZGRgbvvvsuy5cvV3NMMTGxdHV1kpx8KamplyEIEcTEmBEE44E+jUMO/pSSYmNj6enpQRTFgJSbubn/IDV1ISCT/peWFnpt65kDhv78nPLXV75RQXGxHhABHWZzaKx5odJzumNvlax8qTEp2LrVjM22EVEUmTy5J2Clt+c4w4bdz65dpxMdHc2IEf0882VlZV5c8CbTWNcYTYiihREjnqe29jr1nuTlvU9S0hkBz6Ovbxvbt89BkvqvgcNR43Usg0GeiyTVB7xuvnK5Fsu76HROdby4uDjmzJElKRsaGvj222+x2+2kpl5Hbu6zAecbCgLl9j/77DP0+lSczpaQ+/aNxhFMnLgVvV6OALirVhUUfK7mybOzXyApaYF6vLa2d6itvQqn08aUKZ0Igo683q0srVxIVhYkJXLQ5pAPfoPc3Q1nn42lfA/1DbBo1EfsMWYc6Fkd0qipuZXm5ke83tfpdMyYMYNvv/XtCeXmvkxq6uBYmI5kOBwtqlKSLyjtLoEKiYYPfxidLtaL9N9zW/fctKeRFwSBceOaiY72LtgbjKFUSC5AS77hDy0t/6C6+jJ1Tjk5rw5KycpTmMIdTU3P09z8iN9Kb3cRiZqa36njdHX9SFnZUT73CUUG0d2QhqLFXFwciXvtQLBjud9LX8IMg5XHNJkKKCzc6fOcBoqurh/ZsWOGhr970aJFrFmzhptvvpnRo3+ktfVFLJYXQiKgcV8k2O3NlJRkMWPG0axb9z2FhY20t68iLu4UIiK8Feas1io6Oz8jNfVKAF4pnY4gQG4OREcTNsh7hb/+Fef/vcqOnfBB0qW8mX7DgZ7RIY2qqutoaXne6/1Zs2YF1F1NTb2e3Nwwm9pgsWHDFJxO33q8ng9OnU7nR7QgNLEQcHh5WwCCqvSlY+zYT4mJOZqamjvYvftB9YGflnYnI0bcG8L5+DfinuLxcGCVrBQoIhJG43AmT+5vJduyZTJ9fSXq//15cVOnTmXnTm8DNlAt5r6+bWzZMt7rWBBYO9mfMENu7t8oKzvRp4ylPw8UYMyY74mL870QGSiUa+iv2yAycjITJ26kq2sd27f/klmzfuWjSv5zRo/+n4t+NLhqldVaRU3NTYwY8QzJyef4jeCtKDueRFMP+XmuN8IGeS9QXw9z51LfICfl/5mxmE+SLzrQszpkIYo9bN/+K7q713n9eBMSEtSH7Jo1a0KifVTgLnAfbpvyhqdilL8H588//8xxx8mGKi4ujs7OwA/ZvRG4NxhGBAyVgkyFOWbMak1RWEXFVbS1veSXnnOw4vGhKFntDTZsMOJ0OtDrDUyd2r9YcKftBDAYDD69uLfeeovzz5cpTEM1fDpdPIWFVRgMiT7mk4kgtKrH8qedHOy66fXJTJ3aGrKMZX5+Ptu3bycubjZjxqwZ1LX0RDDqU4VStbe3lG3bJvn1pLOyHqau7mYf1yCwalVe3uskJ1/oc26n7lnJb5oeJWcExCpr0ueeg1/8YkjOfahw8BV1+cKwYXDCCWr8/6yWF9FLA88/hSFDp4smPV0uDnGnfZwzZ46mCOSUU07xSfvoD5WVv8dieZfKynAEwxcUQhGdTkdWVhbV1dUsWLCAf/3rX8yfP59Zs2Yxb948Lr74YnW777//HvBfdFRTU4PR2O8VBCMH8YTDUQN4M3s5HDXqy26vYMuW8Rr6zT17XgxIz2m3d6CIUAyFktVQQCsi4aSt7UPXucq0nTLkR2JcXJzPFrIXX5TPW6/Xh0xQMm1au09jDDB1aiMpKXepx/r5559V+tPBCDOMHr2K3NwPAra/ORwmteCvu/urQV5NLYJRn7pTqtbULApYJd/e/knIqlXKd99giCYp6Vy/8/vclWNuagKn6Kq0vu46mSTkIPJJDw2DDPDIIwjHHENSEsQ6Ozhlz+DbJsKAqqonALDb7VgsFmbPns2XX37p1QLlcDiorb2V4mIDxcUG2ts/8Tck7e1vuf6G7w3IEYPy8oXs2nUhpaXz1fdFUeS4447D4XDQ3t7OnXfeySeffMLnn3/O559/TnW17CEqRnLWrFnqtr4esk4nTJy4DYgMaiTcMRBmL3ne/fSb7vPzRc8pyyKKQ6ZkNVC4X3vlVVm5UPP9rqy8mF27LnS1SUURFXU0U6Y0ER8/l7a2tiCUj06MxqKAhi839wNGj17lY3ZaRETkqMfq7u7myiuvpKCgIKTrFhExEbPZicmUqY4XrE977Niv1N5yUeyhuFigpGTw0ofyMUOnVFUWAXLffhRjx36H3R6pVkf39HwTEhvX2WcvwOFwuPqYe+nr2+F3fk7BwD8zFmO1wY4dsGsXdHQg02hWVu7VuQ8lDh2DrNPBb39LZKQccjij9R/8KtyOMyhIkogo/ujzM++GfhE5lyO/du703S5gtzej18tfJ71eR1/ftiOeH9udNKGn51+aAqy33pIXL4IgqOFp8G8kv/jii6D0nGZzr6Yv2R2KkUhKugKzWUKvzwjpga/XZzB+fHHQ+fmj5xw//huys18LOKfs7NcYP35gpBDBEAphhSh2qJ9JUg+9vd9TVnayy4hGBvTiIJKcnGeGhKCkuvraQWkn+xNmCKVPe/ToD8jJ6V8422wb9uJqywiFUtXptCFJfaqAxtSpbcTGzmDq1DYvAhp3rvUHH3yIF198keeee47nnnuOm266ie7uPs0Cq7r6Gpqbn1Nfu3e/qLLMAXySfBGLRn2EKMqs6EaTOrm9PvehwqFjkAGmTYPx48nIgBGxe7i08UGurr+Hid3fH+iZHVIQBB2Jif1h5YE8ZEeN+kojcK+8yssXasLdO3eejcXyLg0ND2gIRvr6yti0KZu+vrL9fdr7HZ6kCR988IEa7lRUfyRJ4sQTT1RDb/6M5JNPPhnwIdvY+CCApi/Zt8qXXEjkGSp1h/LAT0m5i6lTG4mOLsJslhCE2JCMuCDEYjZLREfLOefBKlkN1bUHuP/++4N+v3W6eMaOlZm2BEGrZ3z00Ud7cMFbh4ygRBBsmmNlZCylr68vqHayP2GJUPu0k5PnB9TN3hfQ600qAY0ioKFAWSS4E9AobFw2m5WrrrqK66+/nuuvv55t27YhSVbNAqur6ytqaq5XX+764wqUDh0JcDhcBKSLFu37Ew8Rh5ZBFgR46CFMxx3N8GGQkQ4ndn3IbdW/4+Kmx/hl+2rG9vyMIPmuTg2jHwUFT1FUJBdghPKQBQGzWSIh4Viamp71Ihjp6vpEs1q1WmW1rubmJ1SCkaamZ1WWqbq6Ow/Iee9PeJImXHLJJWRkZPDgg7LxdJfikzmt8RuaVqpRlYd2aup1QK6G9B+gsfHOgEaioeEWdUz3UKlv4z1KM4eiok4SEgZOzzkQJauhgnLtBUGue7jzzjtDzvVarR2AbKRMJhMRERF8//33REZGYjKZVOM1FAQlfX0W9ViCEIXZLJGd/We1jWygwhIDyeVu2jRRs4guKZk86Os9EIwf/y3JyfN9fuZJQKOwcR177LHq7yVUByIm5liys73bO28p+Bd2O9TWQF8vsH79QZNHPrQMMsgFXn/7G9x0EykZBkaPgZRkON3yBtfU/5klVVdxY92tYVavECBJMiFFoPxke3s7JtNJmM39i5yGhqU+xwvGAdzYeK+GZepIQUHBGyQlXY/FYqGtrY2nnnpKDV8rD/etW/sf3p5GsqSkBKvV6npoRzJmzBfk5j7LxInbSE9fjF5vwG6vQxQduJ5ZquFOSrrCw7Prn5evUKnWw7vc61wiIvKCGPFxXvt4Kll5Ko85HLVUV99GcbFAdfVtXvvvDXQ6h+uvLuRcb0REPJIk4XQ6sdlsGmNrs9lwOp2u+7f3utCRkYlIkp7Y2HMpKurRfBZMO9mXupS/XG5r65v09q5X575xYxR2+1bNItpmK6G4WNC89obidCigsG099NBDpKRcxbBh91JdPXD9cXc0mXJ4ftgyJMBqdXnJixfLikYHGIeeQVZwySWwahXC/PlkZMC4sTBuHGQPh+ld/+Xh8vlk2PZd+8ThAIX2MTZ2XpCHrLatZuLEDShfndDD3QLp6Xdjt1uYOXMmdnsbvb0HJ8H7UKO29hZ275YZ5qxWKzU1cmWz8tCPj4/nkksuUY2zp5E86qijKCwsVB+mtbV3qOIT7qT/vb3yA1oeR4fZLJGf/yJTpsg82Er1bne3vFj1FyrtN97eQhL19bcENOKe9Jx2e486J5MpD7PZicXymutTnWuuErt3y56M8ncooK2qFsnNzQ0p1+tw9KmpBX/GVg61jxwSXWiz2c6oUW9o3hussAT4zuVWVl7g89jBFtH+9tsf8ORaz81dTlbWXYwdW0JHR+eA9Mc98UPcr2g2ZlPfADYbSF99BauCF+DtaxwafcjBsHUr1NbKr+efx24TKS+HnyOP4bERTyIJh+66Y39AYVzy19APvpmYNm+ehNNZFrTnURZFl+He7xoTcyxJSf19g4JgJCXlInS66H11qgcEotjDzz8nAf0GLjs7m7i4OMrKyvwSgBgMBjIyMqirq/P6TOk79URxsUBU1DFMmNBfJNXc/DQ1NTdiNOZht1dgNkv09VnYujXZRUBi0nhn69dHo9PZEEWRCRP2EBmZ6PaZVg4wJeX3tLY+o/7fFz3nhg1ppKUtYvjwJa7/9/cCp6Xdw+7dTwJte0mpGVwG0Gg0YrfbkSQJnU7HxIkTKSkpUQkr3LE3bGBDhfXr40hNvUYVMmlufoGamqtdnnIZLS3LfXJZ+0Jr65uqcR0IccjIkatJSTl935xgCGhpedGLjctmq2XLlly/fcwTJ9ZgMgWvS5jb8jILdj9LaiqkpUHrokVc+957PP/886SmHhgehcPDUk2YAKeeCpdfDnfeidEAEREwuftb7q+4MBy+DgLP0Fh09KkenpLgc79JkzaTnv5QkJ5H7cN1oEUYhwPkBYbW26ytraW0tNTLGCueWWZmJkajkaamJkwmk1cxmNJ36gmzWdIYY4D2djnsFx2dqy6sAoVKi4p6iI09F0nSExmZSHPzCxQXC9TWPg4oHrgBs1li5MinXWMaVK+tp0dbWT916m7VGHv2AkdHTyEp6SJNLrOq6o8hXFUtQqmqttls6mJCzpnKzFy+cr2hVAwPBA0Nj1NcLNDQ8HjI+7irigEagQl/whL+kJJyvnrvQ6sZkb9LoRpjTyUmX7BY1lBcrMdiCZ2IJDX1Si9qzMbGhzyiNC/4LHAMhondP6DTQUqKXHX9RksL7777LitXrgx5fkONw8Mgu+PMM2HUKEaMgPR0GGHbxd2VlxHnaDvQMzso0d4u//iUh6nZLDF+/Cfqj1d5X9nOE3Z7fcBwNwyuCEMxAorc3KEMzzxifn4+v/3tbzX/z8nJQafTqWHsxsZGLrnkEhoaGvjVr36lvi9J8j1y7zsNBHe9646OL7Hb+2UcfYVKFYwa9QZms+xtKoaguXkJkgSRkSeqn7mPFRl5IpKEypXtqxe4vPxcJEli+/btSJJEefmZtLQ8pclltrQ8zoYNGW6vYfT2lhAIocoAehJqyAie691b1Nffpvk7GOh0ds3fwcBsltDpJgVcROt0k0LiJneHpxKTL1RXXwGIVFdfOZipq3DXHxeEPCZOLMVdf1z5PBhMUh8mEyhr4ndfkJ817747cNWrocLhZ5AFAZ5+Gv20KaSmwKgCSJOauKj5iYOmku5gQkJCjkt4YITXj1BudRmBJEkkJPhusdi9+6mAOUWdThfCity7CMOX3NyhCoMhEpMpn+zs54iNPYXq6mreeustdDodGRlyP3BHRwe/+93vEASBiIgI3n77bZYvX05qaqoaZTAYTOj1UUh+ugh8taO5610LAuze/bTm81D0rt0NgdksMm6cbxrOcePWaor/fHmtII/V2qoNt3vmMp3OZrdXA1u3FgW5xnJVdVTUUZSXlzNv3rygVdVms5Ps7OdCzvXuDfR6SfN3oGhqeloTRWhqei74Tn4wmMK8YFCiMB0d/o2ZKDa7/g5eotJTf3zixFIiI8eq+uPuBY7B8F7qlfT1QXUVVHXZ+aq0lJkzZ/Lll1+ye/fuoPvvCxx+BhnkhMCLL8IDD2CMMZGRAb9sX82strcP9MwOSpjNElOmVPj8bMqUCr+rZblKW/7iK+FuQBPuliSJxYsX+12R+yvCGApv4GCCEgKNihqLw+FQZRevvvpqnE4n7e3tfPml3AN76623MnHiRM2DUqfT4XDYEIQkBD81EYH0rsePH89JJ82ioWGZ5vNgetd7Ywh8ea2Kx+r+Xij97xMmhFYAqFR09/T0hFRV7S/8PJjwqj/U1z+guYb19Q8H3N5mq6a0dCZbt05XX7W1izRRhNra32s+Ly2dqRb6BUNn578DLqI7OrRebrBwdKAojAJ/tKUDRTD9caXAUacz+B1DWbh+g8Cdyb/hu94uHqncjSAIXHqp3KJ344038s0336ivdevWqa2J+xKHR1FXIHzyCSxZQmMTtO7R8fywe/ku4eAUpz7UYLN1sXlzPDqdDkFIYcSIJ6mouIi77rqLZcuWuaj5RK699lqWL18echFGU9PT1NXdFFBu7lBFSUk2NludRiYR5GK3yMhIenp6AhbXTZnS5pcXWdG7bmp6gLy8fJYvfz5A4c61VFSUk5GxhGHD7kYQDNhs1ezadb7GY+7t/RmdjoBKQwUFb/olqQB8Ch4kJyfT2dkZtCBQFOOYNs27vccf+gvG9Dz66KN+ZQBjYwN73P5UoYLBat1FaelJOJ016HTDMBjisNn8ayqDLLowevQqIiIKXOegFSFREKrARDB4FuaZTFM1TF2ehXlKUeCIEU+TlnYN3d3FBFJiSkv7Az09m920ngW6u79HELoHJFG5r7Bnz+tUVHj3cM+eNYuSrVupr6/3ud/rr7/OhRf6Fq8YKhz+BhngiScQX/sntbXQ1QUvZd3F/xLmapsywxgU3CtBy8sX0NYmh6xSU68GDLS0rADkH2a/obERGRmhGhq9PgOTKVsdcyiMwMEIUXSwYYNJ1SbW6XQ4nf0PNk8jPWfOHFavXq353LOC2Rc6O/9DdfVviIy08uabr/swdhfR1xdBTs5rxMWdpH62Lw2BL/H62267jUceecSnoP3atWtJTb2FnJyHgp6vgra2VVRUnK0u5M477zzee+89vzKA/uBekeypCuUL7tXPtbV/QJK6vbYJdg0FIYaiIrmFyWarpqQkDxAHUBGto7CwLmhtQWvrdqqqxqnfPffoV3GxoC6ic3O3kZIyBoAdO06ko+N/JCScSHLyVT6NWTAlplCugadEJUBfXxnbt/+KMWM+JzJyrNc+g0GghWtiYiIOhwODwcDHH3/MtddeS3l5OUuWLOHuu+/GYPDveQ8FjgyDbLfDr39NV80eWlqgpwf+lziPf6Yvpk8fc6Bnd1hAkkQ2boxDrzeRnf0CSS51FYCNG1NxOOQHdmTkOAoK3mPXrrPo69vmd7yh8gYONlRUXEpb2z81MnVg92ukFSgPykmTOjCZYr0+94TD0cK2bdM5/vixfPppvyDIqafO5ssvtzNu3I9e3si+NAS+xOszMjK4//77/UZOhg9fQXr6FX7PL1ibk/xoE4iOPp6eni9xUUCoMoD+sH59DJLUoxbZ5eW9T1LSGQG2j0KS+hCESCZO3Exp6ViNhGko7UWTJtUQEZGtGddfW+ELL7zA1VdfTWRkJA6HA71+rE9Oa3+Q2xyTMZt9tc2lAHtUQ223N1NSksWMGUezbt33TJpUw+7dz4YYhZHP7+KLL+a2224jPz9/wBKVu3YtwGJ5l8TEBRQUDG3K0XPh2tvby9ln9y/ooqOjSUhI4LXXXuOkk04KPuAQ4PDMIXvCaIRbbiE2Xs/IXEhPgxMtq/jbjlO5vOH+cLGXBwZT4SwIOrKz/8qYMRs0xlgUHTide9DrDcTFneJVhOGOwcjNHWoYMWI57gxPkybJD0WZVF+upBYEgfXr1xMbG6u2OiUk/A6ICckYQz8H8Jw5p3sU7pyGw9GAIER47WMy5WA2O4mImDhopSF/8MX7vGzZsoC5zJoa321HEFqbkwyJnp7/oRhjGf1V1Z6V4Dt2nIMk9biuoRxBKy8/j+JigdLSE1yV4gs1+VT3eoeens2afHGw4jKjcSRms+RljEFuK8zKetar/uLGG+VCx76+Pr8CE4FgNks+jbEk2Rk79iPGjv3ab1FgS8vzJCScTnb2X6mttXD22fOpqKjwcX4XUFPThE6n46OPPqKhoWFQEpX7itnP4Whh9+6/ExFxNO3tPSy8ZCELF2rVwHp6ejj66KNZsWIFF154IQsXLqSlZd+K5RwZHrKCzk544QV4/XXsDtjTCq17YHPM0fw1+xGshxkhxWDhvuIvKurd6/EqKi4lNfVq4uJ+6fVZZ+c3tLSsoLu7OCSSkYF6AwcjPEkniot1gMRdd93FAw88gNPp9MgdC5rq5VCwZ88baj7/4YcfxWazExFh4pZb/siyZcvIy3uD5GT/LEzNzS9QW3uN33BycvL1jBz5jN/9PeFbvH6OJkSflnYru3f3FzwFCtE7HC2UlOQjip0he/M6XTzp6XexZ89zaiHXli2F9PV5f59GjhxJVVUV48eP19CaKoiMLGTs2C8oKzsdq7VY9aokyYROZ9d46RkZGaqHZTQaqays5OuvvyYr61GysgIzSrW1fUhl5TxNFOGll15SPfCRIz8iMXF2kKsfGvzlVoOFoydNKqSkpD/U7B6F6er6yStVIW8jf4/y81eTmOi7pqe3dwulpYXqtR0/fgtRUeOH4Ez93/dgkbnCwkI2bdrk9f5Q4cgyyArKyuDxxxF/KqajAxob4T/xZ/FS1uEveBAKNmww7BVr0mARzAhkZy8nPf2q/Taf/QXfxmoekmRzvRc4xOoLnvn84cPvZ+fOc1Qt2qSkBeTn+w4BOhwt7Nx5Lr29X/oNJ4uiicTEs9R9AhXlyEIG0eh0OkymKUyYUExv7x5KS1PVEL0gCEye3IPBEElxcQR6vRNRFBk/voWoqGS/5+leMPbHP/6Ru+++m48++ojTTjtNs5CLjp7jpU1stzdQXv4burr+iywziou5TOSoo47ixx9/xGg04nQ6vdIIkZFT6esrBaw+CrZM2Gw29a8nMjMzaW5uJjf3HZKTz/Z7btCf13cv9BMEwW0BEInZ3BNwjFAx0KJAOdwu8OijDxMbG8u1117L888/T09PD7fccjuFhbvp7d3mlarwVWAnij20tr6uSUG0tb1BT883+4TZbzALuvj4eKqqqkhMTByCq+0bR0bI2hNjx8LTT6O7dCGJCTJTywmW98KMXgxtv+NAYTRmDUpu7lDGQNR5QoUvDmCDIZWeHlkDW6830NGx2m8/c1nZSXR3/zeIHnCfJlzc1vYqZWUn+xzPl+BBVFQykiQQHT3HqxfYbLYSHT3HVczn3xgDjB69itzcD2hvb1dD4FdeKRNP+BOPUFBaehRdXV/gbowlSWLmzJn89NNPHHfccdhsNvX34I6+vg2A3ObnGSZXjLDyNy4uTtPCdckll7jUmhYGPDebrVotsutvKxQQBIH58+e7ogu9A2p/am19069ohCAYGT78PkaP/pz6+l5X2NlXuP0C6ut7ycy8AxBpb2/n2mvlaM+1115LW1sbTqeV9vaPQpaorK29herqqzTMfV1dX+0zZj+lb12vzwwpPTN37lza29v3qTGGI9VDdsddd2H/4GN27IB30q7n/VRvhZvDFfuqzWWw8OUNuIdu9foUpk7dtzmcA4F9wZvsiwNYiXzodDpGjFhOaqpvxiSHo4VNm9I14eSlS5dyzz33qO8JgsCnn34atChnf0ApGBMEAafTicFgYNOmTQHbnCTJTnv7J+zadTbgIDExEYvFAsDpp5/Oxx9/zLhx46iqqsJqtbJ582YmTOgXWQnkVSlCIEohXlRUFDabDb1+LFZrf+1DsKr5n39ORhS9GQZnzZrFDz/8QEdHh8/9AhU8/vxzAqLYgU6XwLRpFr/HDqUosLr6WjUK4wtJSQuwWP4dUvRHFHvYvv1Uuru/CdljjYk5ljFjPvOp6BQKlEJUSQJJ6vUbmfvwww+ZM2dOgJGGDkemh+yOwkIMBoiOggW7n+Xs3SuOmCKvrVun0dOzjt7eYvUFoseKX9R83tOzjq1bpwUbelBQHj4DkZs7HDDUvMngzQHsHvmQi8f8h8BFUX7AKbSpiYmJzJgxA1EUSU/vVxqaN29e0KKc/QHFC1POz+l0MnnyZC8vTIHD0UJZ2cns2nUmSkueYowBPv74YwC2bdtGb2+v+nuYNWuWuo0/r+rpp7URpsjISHp7e8nN/YBJkza7qCvj3TSVfRtVUFTVZHgWPHZ3y61Ver1+QAWPgtDt+uutEqXdLnBRIBjVKEx6+i3q+ej1etLT/4TJlOiKwjhDiv7odNGMG/c12dmPUV1du1fyioHgTviiFKLm5r4RMDKXmRkaTe1QIOwh22xw2mn0NXewezd0ur6nC8f/dGDntR+wL9tcBj4XLcnIlCn99HobN2YgSa0Davs5kjEUkQ+lvzw+fpZXUc7NN9/ME088gSRJAYty9hU8W55kSk68crnuSEq6RM1xexb0KN/9qKgoTj/9dDo7g+cVL7jgAlpbW4mPj2f06NHqWMXFxT7nYTKNQ6+PUa9zXd197NnzCmZz8FSEZ/tTQ0MDl112mZpHjoyMxG63By14bGn5B9XV/fvl5LxKaqp3ERf4Lwq87rpreOKJJ4iOnokkOTAaM+noWIsg9LnltaOIj/8VdnsjfX1biIwsZMyYD73qC/xFf/r6yigtLeRXvzrRy2P9/PP/Mn58idqTPNA+ZV+EL1u2TKavr8RvZG7y5Mls3Oi/b30oETbIANu2weLFSM3N7N4NSmX7FWO/wa7zbg853BCqjOK+rnD2lJtzR3X1zQOSmzuSMZQEH776hwfKejXUGGyFrEI84V7Qk5WVpUoyvv66TKIyb948Vq9eHfD34O5RD3QeA+mht9sbqKi4HKu1EpttG0lJSXR3d+NwODwKycZhMg0H5MVVdvb91NYu0SzKurq+Qqdz389IbOxx6ueCYCQv72WMxiyfRYF1dXfQ0uK7FTLQYgjAaJzA5MmhtSoORF5xoH3K7tKfCuGLe1GlEYGVw/K5sKEcm+s8DAbDfqHNhHDIWsa4cfDeewhAaiokJ8lyXC+V/ZKcvu0Henb7HP76HaG/MGYw/Y4DhafcnDsGKjd3JGPChJ9Rftp729sdalHOYDBYRa/BKDvpdPGMHStzhSsFPfHxc9m9ezc2mw2DwcBjj8ncyKtWreKDDz4I+HsQhDjN+/uqh7609Cg6O9dgs8kkOm1tbdhsNh+FZNvo6vqcrq7P6excQ2npL+jsXKO+19X1OeC5n03zubzf0X6LAnNzVxAR4bvtyLv/W4uIiIyQz3kg8ooD6VP2xaetFFUqeNqUz0wSsRYVUTRlCnq9HqfTSV/fvlUDUxA2yApMJli7Fp0AGZmQmQV6PdxXcRER4t734h7sOBIrnA9XDCXBh6IVvGzZMmw2iYKCj7FaRTWv70tLOFQMVtHL3aCGcn7+ctxKhXZHRwctLS2cfnp/vrSjoyOIrKg2BxuqxjDoKCnJoaPj85DOdfz4HwATMBCjb2L8+A2D3G+9X5IfeT7fYTBkBR33/vvvV/cxGkcwatT7IZ0vhC6v2Nu7BbvdwsyZM7Hb2+jt7Rcg8SX9WVmpJf6orLzYtaCMAmRKzCW2cjLl06N4/XqeeeYZ8vLyiIzct2pgCsIha09IEsyeDXv20N0NVa7f0a3579LoIZR9OOFIrXA+3LE3vd2++ocVbN1qxmbbiCiKav/wQDEU/e6+OLJBSzwBsGvXryko+EiT766tvZemprvV/99111088sgjOBwOVfLSnc40MjKSs846i5UrV/rlIvc3D1+P2YFoDhcXCxgMhqBpJZPpKMaP/0b9rLT0l9hsPwx4v2Coqroei+UFv+OedtppLjrYaIqKvLm9/UHhe9fp9KSk3KgqOoliDzt3zqOr6wskSSQ7+2kslrf89ik3NCxzFZ9pESydACCZzfDUU3DMMSHPe6gQ9pA9IQjg+kEZTZCQIL/1cPl8Ximdzoz2T4h0hv4FO1RwJFQ4DzZEeihjbyIfvvqHFUyYUExW1jMYjXl0df13wFKFQ9XvbjCkBDw/gyGd6uorAJHq6v42L4tljcYYg/zd7+vrU+lKAZXOFGKxWkVWrlypvp+cvIjRo/sf6oHmcf/992t6kUeP/i7kc7TZuhAEAYfDETCMnpn5gpdRHT/+G7KzXwu4X3b2awMyxgC5uc+SlbXc77g6nWxadDpvYpRA8CevWFt7C52da9Xe+draGwL2Kbsb49DTGvKcP2xrg4gDUzsUNsj+8MwzmIwwfBiMKoDoaPkeXV+/hBXbT+CV0umHDZGIzSaH3/R6PQZDOmazRHr6VZjNIgZDf5uLst2hisGGSA9lVFVdGjAHXFnpu8pWQSgtWeXlFwEi5eW+x9qX+r6h5LhFUf6dimJ/5X519RXq97ofgiskLxfwuLfyFBW1U1Rk1ezT1fUVtbW3ERVldo3vfx5Llixxha11mM0S8fEzgp6bArmrIIb4+HMDGv2oqAKf+xsM6T73S0hIQJIkl5ziwNHY+Bevcb/99lu2b9/uttgauPZxXt4/vGh2s7MfISZGfi9UAxsTcyyxsXNCTids3rwZQRC4uLKSC2+8kQsvvHC/cVgrCIesA8Fuh0cegX/9C1ECUYTWVhCdYGmXo9uvZdzMpwE4gfcnLJY1PkNzoeBIqHA+UJSgBxKe2rcjRqygpuYa+pWPQpN0DARZPUiGrzDsvpR1DEY7Kr/fTzWpKDcVFwvq+z/88ANOpxOTKZnCwlbXOekRBEmzHzipqDibadOmsX79+oDzWrFiBddcc42GSEWSpIDnpMg4pqT8ntbWZ71+x8XFiUA7c+bM4fPPP8dqlWk7//CHP/DYY49hNOYweXKV17ibNuVgt9d4paPsdrsach9I+Lx/PvJ9LywsZPPmzV763vtC+7ip6XEaG28nNjY6QAi+h8zMv5CRIfOEB0trSJJ0wDmsFYQ95EAwGuGOO2D5cnR5IzHoISMd0tMhNweiouA3TY/ySul0op0H3lj5Cs2FisO9wvlAUoIeKOyPyEdb2yqNJ+nLGxrKqm93eNKOTp5cx549r5OQcA46XaK6nSRJVFdXI0kS5eVnUlwsFzsJgsDtt9+O0+kkNTUVm20PxcURFBdHAyKSJJGYmOja7yzKyxcgCIIXQ1Z2djaCIKjX4YknnuDYY4/lqquuIjk5WeNVBzonJXLT2voMvn/H7QCsXr0aq9VOcvJvEUVRrQ53OGr9XCf5fTkdZWfkyJX09fUvWLwjBcHhcPSpYf2SkhKvHLl7KFkUO0KmWQ2GjIzFjB27iY6Obp+h8o6ObsaO3aQaYwie1njnnXcCfhfj4+P58ssvBzXfgSJskEOB2QzvvAPffw///Cf6/FyioyErSzbOAM9vP+mAM3z5Cs0didiXIdJDCUqoMzl5kYZoBWDKlCaSkxcxEElHX5Wr5eUXaBY65eXneXy+EJ0uekBV34KQAYhYLB8EnI9njttdklEULZpt6+rq3P4nh6RHjx7NI488AuAWkrQB/V0VCmsXOAEHJ598Mt99951qxAwGA42NjW65ZjRh656eHqZPn+5GEOKfUEeRcVTGdv8d2+1aAQmz2YnDUeGaQ7RrH8lrO+X/er0ekykPs9lJSsr5ZGc/qblv9fV/9TsvXxAEd9Mhz9dzsfXCCy+wdu1ali5d6rcFbTDQ6WIAp08DC061JU5BsLTGLbfccsA5rBWEQ9aDxRtvwGOPIQFNjbDHRTn7c+zxvJ6xiKb93CbU1raKioqzvUJzRyL2ZYj0SMbGjeNxOLZ5vR+MFMJgGM+UKXJ7VChV37W1Nw5K/tOXgs91113Hzp07A+537LHHsnHjRg1DVyisXWeccQZff/01BoPBJfyA5vyTk5PZs6f/exgoPdDU9DR1dTcxevRoduzY4fU7bmp6moaGP6gpl/T0+2lsvIMZM45m3brvSUu7jdbWF5g6dbfX2MXFCej18ZhM/b3Ae8tZL0l2tmwpIjn5AuLjT6S29jas1u81VddRUVH09fVhMpmIjo52qW6dxujRgRdawVBdfQO7dz/jFoK3ERkZoXaEpKXdQE7OU+r2wdXUBJdgigzlu7h69WpOO23/stCFPeTB4sIL4ccfEZD7llNSwKAHc/eXPLLrHCLEoZFE84VQe+w8PRV3UfXDGfsqRHoow73C3J3PdyDwF9kMRgqh1/fnmEOp+lY8ReVvqPDVn3zLLbf43V4QBH7/+9/z7bff8tZbb3H66aer+3V3d9PR0cHcuf57nW+//XZMJhN9fX2qIVa8261bt3LnnXeqlbvK+x0dtWoEZ9Omqfz8czI//5zkWoRI1NfXuwqtut1C7Hpqa2/UeLQNDX9yEXh0IEkira2vkJPzPF1d37he61SWLr3egNNZO6Sc9W1tb2O1bqah4U7Kyo6lu/sbrypwhd3K6XTS3t6Ow+EgJeWiAd1TXwi1TxkCq6lFRIxT78vPP//s9V1MV8Kf+xFhg7w3EAT4738RkEPXo0bDiBEyy9fclr/vs8O6h+aUlyh27LO8zaGGoSTGOFyg5Cdraq6mouJCBlNrIJP5D5wha9y4/paaYFXfu3advde5fndJxsWLF2s+c8+XSpLE3/72N1WycfXq1dx9990aoxKMtaunp0cznhK2dj8nvT4FnS4fSZKIj89WRV3s9o2IYpsmvN7VJefztQVEsvfmvuBWsGWLvIh0OuuoqFhAWdmxrtdM2treAfbNAjUp6VwyM5cgCAL5+QV89tlnvPnmm+pi684779TcR0mSSEq6Ap0ublCLQfVKiA7s9nr0egPp6YuZOLGUyMixTJxYSnr6YvR6A3Z7HaIoF20Gat2LFq04nU4SEhKYOXOm13fxsssGz0I3WIRD1kMBUYQnn4TXXwdg+w5wOODzpHP5R8atsuEeQgxGXPtAyuMdSHiGSF944QWuvvpqxo0bR1lZWUBijMMJSoU5oNIBuvP5DgQ7dsyjpycw17McnpzjpUPsWfVtNOZht1dottGGwAcn/6lwcC9dupQHH3yQ7u5uTCYTNpuNsWPHsnPnTjX8q0g22u12jjrqKIqLizU8yr/61a+48MILfXIrexp8Zf7uIVDPULW7qItSfe3+O54xY4ZPacVgKZeYmBgyMjKpqCgnI2MJw4bdjSAY1M/3BWd9Z+d/2LnzPGAPOp0Oh8NBVlYWDQ0NPlIZEciLCztgpLBw56AYACsqLiU19Wqv1ih5Pt/Q0rKCvLx/BB1nw3o9Tldfs0kQWPV//8e8q65Sdaz3J4e1grCHPBTQ6WDxYnhXJmNPSpTf+lXb25y/++khP9xQUQceCfAMkSpC6jt37jxiKEGVCvP+YqHB94iC7IGmpz8akGwiPf1xL2PsWfWt1yd7GWPwDIEPTv5z1y7ZE1+5cqXqxSoP2qamJkRRZMyYMRrJxqOPPpqKigovD/7888/369UDmgrrgoKPkaR+I+irkt09gqPX69Hr9VRXV3PmmWcyYcIEbr/9djXUHapHKxt2HfX1vYwe/TnDhy/TGGPYN5z1cXEnAQ5EUVTZzRoaZFIO71SGFaWgTq8XBy3j6qtPuX8+vwzJGBd0fIuIJPeYR0Vh/e9/OW3hQqxWK0VFRfudw1pB2CAPJXJz4aijSEuDMWMgLhZ+3foK8Y59w3LlHprz9wPLzf3A68F4JMEzROrOwBQKMcahBvcKcyVHqeQnnU6nS96yP/RZXj6Pn39OZceOuQOqNWhufipgLri52btq17Pqe1/m+h0Omdd4y5YtXoVmFosFSZLYtUuW/VOuxQ8//KBWW8stQjZVK7f/PauGz1vxcCUpGbNZ8tL7laMSMVgsb3ixxCkGUpYVnaQ+/JcuXYrT6WTixNBSLhMnTmTWrFNwOlMYO3ajy0j6xr7grB837iv13/7uo+AWJVTC2MOHPzngYwGDroFQoJfs3F5/K9kYeSgpi+IJE8Ctirq4uHi/c1grCBvkocbf/ga33qqKVADcUHfbPjtcKNSBRzI8KUHd81ry54c+Jag7lPxkb2+xmqN0hyh6F/OIYisdHR8MqNbA4SgPmAt2OHb53M+9331f5frlQp7gcDqdSJLE119/7acgTaKx8T6g39MVBIHY2BNVo6sY+8JCbcucQi1qMuVTVNTplyVOMZAnnXSSegy73c4111zD22+/zVFHHRVwwT1mzBjefvttTj/9NByOBgQhMOXj3jK3+UJvb4l6bZT7WFJSwnXXXceFF17IlVdeqSluc289HEzh6d7wLQBM7/wPJqmPLaML+WNuBkyeDIWFmm2uvfZadcG2PxE2yEMNQYDzzoNf/QqTUabcHNvz8z7rUd6X8niHMmy2arZuPcrNO9IDOq/CGEmS2Lx52mHTiyx7nd4YjEyhP7iTQvhTgZK5l0MzjEMfSu1CEGIwGBJc5xT4MXfjjTf6uRZxjBv3tVoUlJ39HEZjniqkMWFCMdnZz2Ey5fsU18jIuJaMjD9RXCz4rRxXDOTy5cs1i0Xld7xu3bqAC+6tW7eqv3en00p7+0cBzzUYZ73T2Upr65vBLrAGFoucqpN1mWfQ3t7O5ZdfzquvvsrKlStZuXKl5tzeeOONvSo89cW30NdXxqZN2fT1lQXdf0zPRgRkrQIAbrllyOt8BouwQd5XuOEGAOJcPeqjXKvIoca+lMc7lLF16zR6e390e8cJiBQVFVFUVITZbFY/sVo3DCg/eTDDZMqhsLCfPjE/P58ZM2aE5IHGxp46oFoDX60kSqh2oBjKUGpZ2UlIUjdOZwczZ870aknyhN1u97oWBkM206Z1YDAkqnzeCne3O3y95w7FI3Y3SDU196tpBaVfvqenx2ux2NfXhyiKARfcynbK710xjr4QjLlNQXX1NX7H8ISinazTRQMCERGFLopQ7bV2P7dly5ZRWlpKVlYWqamp6rahLAZ9aRoD1NUtwW6vo67uzqBzXpN8ERJQr3DFeFSuH0iEDfK+QnY2IHvIAFk2b47ZvUWgHrv+B6MzZE/lcIK//KTVaqWvrw+bzXbY9iLLoWAJvT6L6upqtm3b5tXOo8C91mDs2E9CGj9UFaiBSDL6CqVOmjSJxYsXBw2lSpKdrq51ag9udvaDgAlJkvjuu++QJIlhw4apeVnQCkeIosgf//hH7rzzTiwWCxkZDzN5crnXcRyOFnbtWhAwrOrJEidJ8m/P3SA1N9+pphXc4auf2zN/DQaNAVY+j46egMmUSEfHalURyRPBmNv6w/KhU6kq2slyO5xEW5vcpuZZJe55bnV1dTQ0NNDS0uLKswtei8GB8C20t8t1Mu3tq4KGvX+sf5CJPcXc21Upv7HNm+zmQCFskPclpk9XyRTm7Hl1yIffFw/GwwX+8pNlZXJIq6ys7LDvRc7NXaGSNbz//vtDWmsQigrUQOArlOreOhQo19/W9jZlZTPVHtydO89ApsDsR319PdDftyuKIiNHjlTzyI8//jg//ihHVOrqFlNSMl6TvnA4Wti+fRYWy7vs2bPS71zcc/juBtcfeUqgVMK//y0TXCiGsrCwgdzc55g0qVLDRW42m+nt3UZ+/udkZ//Vg9ZSC3+c9S0t/9B48S0t//Taxl8xVWrqlUhSq2auwc5NuxCGiRO9F0AD4VuQJLnCW5LsbNsWWMdY5gqHf9hbcYpAY2PA7fcnwgZ5XyIlBaMBTCZIt/kmft9bDPWD8XCDe35yyZIl2O12Zs6cic1mY8mSJYNq9ThUUFV1KSB7UbW1tQdtrYG/UKq7F+u+nSc8SSpCgSAIqpH2Bbt9lyZ9sWfPG/T2bgSgo8M7LKx4xjBcfS+YQTIYDAFTCZdddpmrGyCBoiIbNlslkZHjsdtrKSj4FyaTzJH96quvIgjQ3v4ekZHjfbJ1ac+tge3bT6esbJb6qqr6LZIkqa1LVVW/obhYoLg4nrKyWWzffrrrO9JfTKUY6Nrau93CyP2LqFBlD8eOLSYycqTXPMeO/c+AiWjke5tKc/Nz6mv37hcR3ZgT3b9XkogsSnCQIEwMsi/x5pvwyCNUVUF3Dywfdi/fJMwJvl8Yew2ns52GhgeRJDt9fbvo6HiPxMREOjo6VLKChIQELBYL8fHziYwciSAYycr6E3p9woGe/pDAnYTDk6ziggsuYOXKfk9PEAwUFQ09CYIiKThixIqABCye8p8Kt7PC6SxJRsxma8BjdXb+h+rq3+B07sFuD5ymmTVrFv/5z3805CCeKCxsUCMm27f/ks7Ob0lMTKS9vYPCwkaMxjR1W1/86QaDwS8Jx/z581VWLkEQ/HJ7R0SYiYwchc1WSU/POh/nMZvPPlvDrFmz+fzzT70+z8t7neTkCzXvbdo0Arvdv4Mwa9YsP1zvevV6xcWdS3v7KiSpFxDQ6QQ3EhAjiYnn0NOzGZttM5mZmZSUlJCamqo5t+OOO44vv/ySyMjJTJy40e98QiWimTNnDj09PT7nnpb2e3Jynqay/Ar2WP6ufq+uSUriudLSfpWgA4ywQd6XqKiAc8+lvR1aWsFqhUvH/YAUIKQUxtBg+/ZT6Oz0/mEGYzuKizuVMWNCy6UezLDZuti8OR6Qq18FQUCn06HTDcdu11aSK3nUyZN7hjy9sX59VFChCJutml27ztd4cwMRP3DfX5Ic9PVtAULTu545cybr1q3jhhtu4MMPP6S8XA6dZmY+TEKCHPp0ONooL5/LjBkz+P7775EkiczMO4mPn62O43DsZteuc4B+1q1vv/2We+65x6ex/eyzz9T/63Q6nyxgN998s2YRpSA/v4Dly58PwM53rV+2LpA95E2bRgI2da6nnXaaamyHDRtGTU0NgNtiRafRh1YKt5R9TjrppIC/q9GjR3PSSSf5PLdQFoPBNI3fffddzj77bJ8shTJM6HTRiKLFi0HMXclJr9fz6aefUlRUFHA++wphy7AvkZcHf/wjCQmQ6HK6FtXefGDndISgoOAdjEa5sC7UcJfROIKCAv9VqocSTKZYJMkIuEJzkkBW1jNMnlyF2SwhCFHo9XoXif5j+6zWIBShCM+860DFD9z37+vbiGKM3UOTyssTiprPU0895fbwhsbGW9Wc9K5dZ2oKiXJz82hoWObGG30su3adTV7ePzU1C4DfvL38WRRAwFRCXFycpiWtoOB96ut7OffcC/yEgi8IyNYFckW72WwlOvoYqqurOeWUUzyqwGvUbWVjrEeni/WqAnffx2q10tLS4vN3ZTKZKC8v91khHmrhqS++heXLl7N27VokSeKcc87h3nvv9RkSl2FTOcM98/kWi0V9tba28otf/CLgXPYlwh7yvoYkwaxZOPa0U1cH3d3wz4zFfJK896onhztCDXcGQnn5lXR2/iNouCsu7lLy818cqqkfNPAMBbujuvpmWlqWU1TUuU+O7Rl2Hj78b2RkXOe1nTu3c6jc7KCjsLAOkylTs38gCILAjBkz+OGHH9QQtSAIHH300axb5x0Odsepp57KJ598wuzZszUemoKEhLMoKHgbQTCo/Ol6vR6Hw+EmE2glMjJSlQnU61MQxT0aJrEVK1ZwzTXXqO8ptJzuvOAORwvbtk1n/PgkNm3axEcffcRpp53GqafO5ssvtzNu3I8YDKk+z8Ni+Yhdu+a6vaPl3A5kDtLT0zn55JP54osvaG5u9vI0BUHg/PPPp6GhgW+//daLBzojYylNTXdrjjd8+LM0Nz8StNZly5bJ9PWVaK6lJ3Q6HU6nk1NPPZXPP/8vI0eupKrqPNWLX7NmTQjfKygtLWXcuHEB57OvEDbI+wPNzTBnDg4n1FRDb184dB0KQgl3hoLi4mgEoc9vuEuSIjGb951c5pGAvQ07w+DFD5Rj+8qxukOn03H77bfzwAMPqA9vJew6fvx47rjjDv785z9TUSHza7svDq644gq+++47Zs6cyUsvvaR5iCcn/4aRI/+ueqNtbR9SWTnPRanZ/3hdsGAB77zzjmZOSirB6XRyyimnqN/PjIwMWltbEUWR7Oy3SE9foO7jdHawaVMasbGRdHR0EB0dzU8//cSaNWu45ZbbKSzcjV4f5/MaFBcPjAAjPz/f1XZW6fVZsPQPKOkQE0VF/b+v9euj0elsiKLIhAl7iIxMDDoP93krmsaVlWdo7qFer6ekpEQNiaen30NT093qgjAiIoJVq1b5/V5FRkbS2blvFqehImwR9gfS0+HRRzHoITZWlmd8bNdZCH76BcOQMVhdXE9MmFAcsOVnwoQNQzDbwx/umsqe2NuwMwyesUs5djBER0fzl7/8ReUxd68KLi0t5ZJLLlGNMUBdXZcaGv7uu+8A+O6779xCorUUFPybvLxXNaFhpaca+sPmkZGRjB8/3rWFoKYLIJrY2AvQ6XSa7+d///tfjj32WCRJIjq6v4IYoL39I0TRRnd3N4BLEGF6SGxdBQX9YiLRCkmCB9xD+9XV1bS0tBAVJYfXA6V/UlJSvMaKjT1XY4wBiop6iI09F0nSh2SMteFsI0VFViRJpsHNysrS3MsJEyaoIfHGxj9rwux9fX0sWLCA6dOnM336dGbOnMk999xDe3s711577QE3xhA2yPsPJ5wAQGqaXGWfaq/nmI7BkaMfCVAUivZGF1dBTc2igHm6mpobgw9yhEJpbamuvo2amqsBmX1KMc6KgR4qoYiBMnY5HC1ERp4Q0rl0dXW5FRJ5awu7o7CwinHjttDbG8MjjzyiyUc/9thjrqp1iIvz5sBWeqoVQQ9PekpBgOTkRUAMRUVdWK2bfH4/jz/+eACvljSFjcv992EwHBsSW1di4q8xm2Wv3V3LWTt/eVwl5N7d3c2xxx7L3LmB1eUsFot6jQAiIyczatQb6rju9JajRr2B2RzqQtu93c1OcXE05eVnIUkSDQ0NXvdSuQ4ARqMRQRDUfHFnZyfFxcUUFxezbt06NmzYgCAIByxE7YlwyHp/wumEo49GlGD7drBLBi4bF3xlf7hjKMKdgfDzz9GIohzy1usTGTXqY3buPB2n0wKAThfNtGndQ3tShwk2bRqO3V6P7NX1h3lF0ejGQtWfUthbzV2lfShQ3nXq1H4mpi1bCunrG3gPebBwq16fTGFhBZs2pZKZmUZDQ4Ma+szOzqaxsRG73U5e3hskJ1+g7qdUt8uqWikaRqyNGzOQpFaXulOHizkL1q83IElKTlsOx5aXz0OS+slNkpIucf0+JCyWtwFRk8MVhDgiIyfR2/sDkiSSlHQROTlP+M0lgzYMrNfryczMpK6uDp1Ox8iRI9WcqnsV+OLFi/nkk0+80j9Tp05l06ZNmipsBbm5r5GaejG7di3AYnmXxMQFFBS8HeKdgk2bcr06A9wR7F5GRETQ2trqM1/8hz/8gSeeeEJNGxxohA3y/sZ338ENN1DfABZLOJcMvns4IbSH5tSprQHHdjptbNwYiU6nIybmdEaP/kD9bMeOM+nu/hhRFJkypQ+93hRgpCMTGzYYcTrlqmWlKGrdunWqYINioKdO7W8zUoqa/OXss7OX+y3Sc++dBhgxYgU1NdcA/UVORUX9qR6Ho4WSknxEsTNoUVLoBWPe8Cxg8h77PZKS5rnOIfRCOoejj02botHpdJhMUzSMe1u3mrHZNvo1FMF+H5GRhUycuAmAPXvepaJigdc2ocKzmGr69OmkpaVRVlbG2LFj+eKLL7Db7X6vUVLSJbS3v4codmIyJVNY6Pt363C0UF29WLM4t1jeB7Te/EDuZUVFBSNHjtQsCKMdIh0eBW2+Wsz2N45sS3AgMHMmADGu9E20eODzFgca+1IXV683ERU1g5ycNzXGGGD06A/IyXmTqKgZYWPsBoV1atOmUTidDoxGuX1KCQ0qoVgltOl0OikuFqivfwgYvFBEMPEDd8au3bv/QXGxwMaNaYiu35A7CYon4uLiQmaO8gV/1JcKysvPUv/tj54SICfnUU1Veyj0tzpdzoAZqzyFGgZjjN1zyf1c2jJ++uknPv74Y8rLy/n444+xWq0Br1Fb26uIYiczZ87Ebm+jt7fU5zF90WVCD7NmzWLu3LkYDHKuPpR7aTQakSSJkSNHAto6hO+ip7El2ozB7TwVLewDibBB3t9wUdPZXQ6FXjrwYZIDjX2li6tg/PhvSU6e7/Oz5OT5jB//7ZCdy6EKhch/27Z5lJTk0tOzDrtdbkVR2lckSdKoZHnm7hoa/uTK752JKIqsXbuWCRMmhKy5G0z8QMm7mkyxVFf/1u+5iKLo1XN8+umnq7ze/grGFNpIBcGMn3teOT/fd5VxKAhGfzttWhXTpnUQHx84h6v8PuLj53oJNeTl9Vd3p6SkePVoK+hXXtKGcEeMGMFnn32milkoGMgCGlCJVaqrr/FJbxmILnPVqlW89dZbCILAiBEjgt7Lhx9+2O+CsDpiDABt48ycGCn33ytMYgcSYYO8v+H6wocLrL0x9Lq4YYQKxTPp7n5f8777A1iSJHp7+9vPFI9Iyznd//lHH8nVvjpdoqaoKZBQRKjeZU7O/6nvux9fma+7Udbr9bz11lvq+Sie+/nnn09GRgZFRUWa8xwzRtblC2T8zjjjDE1Rlc223e85DRVGj15Fbu4HQVW7lH5ldyQnz8doHAagtlMpc3c3yE6nk5SUFK/wbU1NDaeccopXKDr0qIOIyWRCFOW/XV1fUVNzvfqqrr6K2trbMBhSAy4+srOz1d7xQFEYwD9ve+VF5Fi3Y9BDVBSsHTfuoAhXQ9gg73+0twPgigKS4AicAz3SMJS6uGGEDnfPRIHBYPB6AHt6LU8/ra2GT05OVrd1l/PzFXbeG6SlXapWC7v3oirz9dXaBLKhvuuuu5gwYQJvvfUWzc3NvP/++65t5MdhXNwwzGYJg+Eo2tvbueeee5g5c6baLrNgwQKsVqsmQlBb+3tVcnHr1umUls7EZqumoeFxiosFGhoe36vzVeCLsSqQape7hKFcnId6fSZNmoQkSdhsWmWs1latclMgfevLLrss4AIhOjpa/b4o90EURS8POibmWLKzH1H397f4uOKKKxBFkbfffjuoTrS7cpj7gtDpqoJPSwe9Drj11iBXff8hbJD3N1xhnTb5O0FtRGjqNEcKfOnihhLuPFgw1A/g/QV3z8RgMKh52MjISARBUHtWy8vLmT17NnPnzuWEE05g0aJFGsO0Z4/i/ca7GURZSN4z7DxQWCwfUVys17wU+Cp88tfapIg6KIZm+/btru0l1cgDRETkIwgCGzZsYN26dWq7jNKvGkqPdX39bQDq371FVZVskD777DOf6QDPFin3nKw7jEYjL7zg3U+en5/P/fffD2jbqtLT070MtLIICrRA6Ojo4PTTT+fcc8/F4XCQmpqKw+HgnXfeUXu5s7MfY9y4r9DptNStvhYfW7duBfrvt3tu21MnOlAdQpfNRncXOJyAD9KTA4WwQd7f8Cg4OdIrrD3hSxc31HDnwYChfgDvbyieiSRJjBs3jr6+PgRB4P7771fJIURRZOfOnRQXFyOKIscccwx/+ctfSEtLcxupw6eQvN1eR0LCGZSXL/QrJL9x43hXwdZ4DRnJrl1nIFM9ur/8I1ghlrvBUcKc7p57e/triKLI5Zdfrr430KJDvV428MrfvYXVKhuk1atXu94xYrWK6u/Dat2q8YohG5mKSJ67UuDkSWtpMplIS0ujvLycJUuWANoFTXNzM06nk2HDhuF0OjEajTidTl5++eWgnqrD4VB1qJXCqaVLl2KxWIiOnkVX148+vw/K4sN9bPc+cjlFEYXZLBEVVeS1YBg7tkwz3pQpTWQmXUekpCM+0kTWMDDogVmzBnMr9gnC1mB/w/VwiHNFBw2iLcDGRxYGUmV7sGKoH8D7Ev6YtxTPRCGmUB6K7vljd8O0Z88eXn31VZqbmzXj+BKSV15tba9SVnayz3k5HNvUv7W1MmlLbe2NGpYp9+MrXpPn+4rBVMQcTj75ZA2blLvB0euHIUlGLJZX1SIjBX/7299c/4ocUNFhS8vLGqNfX/9wgLsRHDJjlagpxNLrRYqKrG4GycmWLcepXnFf3xqUljFP1q2MjAy335SN3bt3a46XmJjInDlz1Cp7QNWQ9jTo/jxVvV6vWajEx8dz3HHHqR5uR8dqv98HZfGxbNkybDaJgoKPNSkJp9OpsoApFekmU75fFjBBEvm7s4ni6KnkjHCFq195BQ6QspMvhPuQDwSmT6e9A+rq4KOUS3kz/YYDPaODBgdSDGFvUV//AI2Nd6q9upmZDzJs2MGTn/KEP65whcg/Li4uIJ1gYmIib775JkVFReTn59PZ2Rm0P/SUU05R958ypU1TCaxgwwaDmhcG717n4mLBp9Zwamoq7e3tXu8bDAafIe1QuZidTqcayvbXY61IM+r1Gej18jnZbGVe/csm01h1H0EwMHr0KiLc0lYWyxp27fo1BQUfkZh4mtd8SkoKiIycTmfn2xrRDkEwuJjUUpgyZZvam52Tk8Pu3bvp7e0lIyOD5uZmZs2aRVRUFO+//75L4GE4tbWyPrI/7mp3vmiDwYDVaiUiIsKnyIPSD67IesbExNDX18cpp5zC6tWr6e7uJjZWm7LQ6eIpLKxSvw+h9GcPVDJ0escX3Fh3K7m5EBOrgyefhGOOCWnf/YWwh3yAEBUpB5LmtL5yoKdyUGEgPZwHElbrLjZvnkRJyTj11dCwRON1NTTcpvl88+ZJWK2BVW32J/xxhSueSWdnpxoa9AWl4CY1NZWOjo6g1IrnnnuuZqyysl97jblhQ4Gmv9kXfarZLCFJuV4FP8uWLfPZ2uRe1BVqyDkm5lgAJClNk1f2V3S4fv16AJzOJmy2Mmw2OVzqGTZXPrPZyrBat7BlyxTN+VdXXwGIVFdf6dpe7glXisX0+iQ6Ot7xKiiTyVMA9rBjx5lMnLiZ+Pi51NfXExERwbRp02hqakKSJHbv3q1pZVOMsXx8rRftXrWu3BObzcbMmTOx2Wx88MEHmuum1+u55557AJg3bx4RERF0d3dz9913q2H2mJgYTXjZV5tWKP3ZA5UMPcnyb6KjXRwQd9990BljCBvkAwZBkANJApIs0RhGQOgk50ElxrFlyxSs1i2aBywM/AF8oOCPK1wJi0K/p+N0RlNYKC+EPFuM3A3Tgw8+yG9/+1u/VbcWi0VjHPv6vlX5sJWX01mOJEkqy5IkScyYMcNlOK53bWfE6dzldfwbbrhBnbfy/jGuh+5MFyFP8JBzf5GR2SwxbVqD5jz8FR1eccUV6jah55lh4sRtmvFFsdn1V+7DDlW0Q6/Xue6LTi0oc69UVgrXADZs2MDHH3/s83vhcDjo6uoiPj6ezMxMTYhYiW64LwYuvvhiZs+erd6v+fPnqwb5/fff54EHHkAQBD74oJ+UR+YB7//udXT4FsMI1p8dTLLRHQbRxqjeEmJigORkmDMn5H33J8IG+UDgrLMwGOXvBcBx7R8G3v5IhiRxTf2f+b9tR/OPbUfxSul0rqpfil4KlZh+32DixI3qv/fmATyU8JcT9vSytm6dTm3tIg8vSzZ2W7aMR5IMGI0jkaQ4MjPvw2xWeJcNmgepp2GaMGECW7duVSk2p0yZQmpqKpMmTVLzvO4ed6B2mqamfmKQJ554wuNTOXTteXwlLC2KIg8//DATJkzgu+++U89TEASXB93hc8HQ0dHN2LGbyMhY7Hde/ooOn3/+eXWb0FikRmI2S0REZMtn5Ghh40aZGa2goECtTA+FxW7JkiVeLV4Ki53BkIIkSYwaNUqdnzLO2WefHfD6NzY2at679957Ae2is6OjQ7PIeuuttzRGXCnu+uGHHxAEQV3kaSvgnV4Ls23brvY7t8FgdtsbRItdxMcD06fLHtFBiHAO+UBAkuAXv0CU5Ir7vj64auyXWHW+5dCOZFzU9ASn7fknMTEQGSnzfyvpwHpTHk9mP0pjRO4Bm9+mTXlIUm1QMQVByGby5IoAI+09/OWEB8sVDjpMptHq/3zlRP0hMjKSvr4+r/ejo6Pp7e31KUIA2lwl9OePlb5iJUd96qmnBjx+oPN0F0t48sknGT58OHfffTcAhYV1mEzDfI4TqnBEevr9NDcv8cvlnZX1KGlpCzWczVbrdnp75bB3XFyc6zsTR3y87Mm1t69GkjowmUzk5+erhh5g/fr1CILgU4ilt3cz4J3n9RSQ8IWRI0cSExPDli1bBswDPnPmTJ/319898QX3VMFgYRStnLf7b5y6ZyWpKSIZGQL8858wZsxej70vEPaQDwQEAVavRidAWpr83xfKjj/QszoocaLl3yQmQm4OZKRDXh6kp8nGeSQVPFw+nyS7HOaLdVgwd/6HB8ovYG7Ly0SIPSBJjO/+iXOb/8YJllV+w94RYi8ntf2LsT0/D2h+kydXkJ7+UEByhPT0h/a5MQb/OeFQvCzfXqsYNCSvwHN/X8YYZMm/QNKH/vLHzzzzDDk5OVRXV6uh00Aetr/zvOiii7w8a8UYAzQ2Puh3zFCpPaOiCgL25kZE5HlxNvf2rlfPp6enx6syXZI6ALkaetu2bWpPdHFxMZIk+e2J9mWMlevsbkB9Xcva2lrq6uq4+uqrqa2tDZkHXKfT+by/er2ekSNHsmbNmqCRpJiY2/3eh1BhFK3cVv07Tmt7nYx0kfR04LLLDlpjDGGDfOCQLjPqxMRARIT81uiejQF2OPyR4Gjl1D0rubL+Xubvfo7jLe8TKfaoLWJceSUmI6SmQn6efAkFAf66cw6vlE7n2R2zuKn2FnIdOzm35VleKDueV7b9gturr+XM1r9zRcMy/rHtKI61fEi0s784LMnezF/Kz+fyxge4o+oaLm56nMsb7g/ZOJtM2UEfwPsagfSjg3GFv/POO5p9dbphTJq0U90/WEg+OTnZByuW/0fLySefTExMDHHqje2HJEl0dMjGx91wX3/99dTU1Kh800rbi7+iM39hY8VjlUPOEmDSLCba2/8d8DqHUnRYVXV5EHKbhV6czTfffLPmGl5wwQVehkoQtIVWA0mVBIMoivziF7/QXE+lQK6iooJNmzbR3d0dEg+4v0Wb0+mksrKSs846K6BRN5slxo17IOS5+8OJlvcY27eB3FxIzTIhXHcdXOs7J32wIByyPpCor4e5c7HbYVc5iCIsHP/TgZ7VfsfsPa8zt+Vl4lz6xILQX+em08kLWt1NN8LChfKb1dXwu99BQwN9fdDeAVarzA+elAxGgyze0dEue9JGk/x5TzfY7f3CHu7Q6yAnV04hSJJMbWq3Q7c+npczl/BjvG9yCYD162ORpG6/Gr6CEDuk1eF7ox+9e/ebNDbeSlJSEkWu/suvvvoKh8Phtq+R2NjjAOjq+gqwERMTw7/+9S/GjRvH+eefj91up729nfLycpcRdw9lQ1RUEb29bYDshXmGPHNyctxYvXwjlLCmfG6CzxC4IAiasLHD4cBkMqHT6YiKOpmxYz+luFjw2n/aNDs6nWFA98QdnhKSw4Y9Rn39HzXbREcfjSQ5sFp3IIryAsT9GhqNRiZMmEBJSQlOpxOdLg1R7AM6ueuuu1i2bJnP1i/Qpko8BTP8QTn2hAkTgP7UgRLenzJlCrNmzdKE+hctWsSaNWvUxcQHH3xAQUFB0JD2L3/5S77++mv12EooX5L0mM1DVxtyUdMTnNn5T0aNAmHECFi5st/7OUgR9pAPJIYNg+uvx2iEpCT5rQybfwm4wwkXNz3OP0rlIq2Lmx4n1WCRQ/ipMGoU5I2UQ9RpaaAT0IaZcnLggw/ghReIjJS3yxkBubkQHycTxsfHwfBs2ZtOiJfD3MOzoWAUjBgBSYmQmAAmE2RkyN52RARERkBWFmRmykY51dTBlQ3LgpyNTE6gFPoMG/aYhhwBuof02oVaeeuLynH3blkisa2tjc8//5zPP/8cm83msa+Nrq7P6er6HJCJaxTvaNq0aSqN5M6dO1WPWLu/5JpTf0jU02P9+eefVXpORTAA/Ht9S5cuBdAQe0B/tbdS+OXuLXtGLf73v/8RFRWF0+nEaq1g48YcdbtHH31UNaLbts3w4qQOFVZrhzoPnS4es1kiK2sxZrOEThevnmdPz/f09harxtjzGtpsNjZs2OBWqLYbkBd1yvcqJub8oIpH7tdToQz1hWOOOYbrr79evcbuBXJ79uxh1qxZiKJIbW0tkyZN8snIdfbZZ3Pddddx3XXX0dLS4tP71el0LFiwwI8gRIrPuQ0WxXEnYrdDdRVINTXw1FNDOv6+QNhDPhgwfTrd3VDl+t0f7l5yfu8W7qm8lJgY2QtNSYHYGNlzjYpSiP7cMGYMvPaaF+2oiu5u2L4ddu+GGTMgPh5aWmDdOjj2WEhIgI8+gk2bYNs2cGN2EiWXwfeAU5QjFjU1ctHdwnE/+qzMtFo72LIlEZ1OhyTFMG1au/rZzz8nIAjdiKLIxIkWIiLiB3G1vGGzVVNSkgeIAyi20VFYWEdJyRiUB3uwfWfPnq2poH3iiSeorq5WjZ+y/7fffsvdd9/NihUruOiii/wW+nh6rCCHLG02G7GxscTHx1NfX+/T6zOZTF7sUAoUT1q+B9rHmXvUwh8Urd0bb7zR5+d6fTJTp4YuAlNcHEly8kLy8lZ4fVZefiVtbf351dDvnwmwuRYgckFZW9uHVFbO8+u1mky/wOEo1lxPd1WrmJgYpk+fTnR0NN98842aKhgKFBYWsmnTJk0hmxIl8BdJgqEp5HLH/N3PcVbLS4zIgdhYAd55R165H6QIe8gHCaJj+hWgDncsbHwYvU72VEcVyN6q0QjRcQaEW2+FH36An36C776DV1+Fl1/2b4xBTsRPmwanniobY5Bd4zPOgMRE2ZCecQbccYdMlff993Kl5QMPoPvd9fD66/Lx3noLVqyAL75Af8F5GA39kYvZbW/4PHRERDySZCIh4XKNMQaYNq2dhITLkSTTkBlj2Dv9aEHo95KC7espSbdnzx5NC5Ky/3333QfAjTfeqO5/1llnUV5ejsEwUjUCvvLs9913n5qrHDt2LM8+61t+U5mL4gH78qQ7OzvV/KlyzH5KR+2Py3P/d999F4CjjjrKK/+qtBCFCrO5z6cxlo/7ImazxJgxXwDGEOULozCbrQhCrKagLJgQi92+00sxyT1f3t3dzf/+9z8+/vhjjTHuz1n355NlsQaDT6lL5d8KTzbAtGnTvOoovO+JwUsQYqixOvkSKiLHU1ODXDNw//0HNe9D2EM+GPCf/8Att9DQAG0WuHHUx1iMaUF3OyQhSbyy7RfExcoGmWuvhblz1SK3gwpPPQWvvEJ1DXR1wdcJZ/Be6pU0m7IP9MxU+KNyVDyT7OzlpKdfBUB9/dM0NMheoMGQTnb2U1RVXehz388++8zn8dzbkpSiKkXMXq/X43A4OOaYY/juu+/UfZTeU/DvHSm5yoiICH7/+99rvL60tDQeeOABn3niq666ihUr+o3fp59+ytlnn01vb686LxnKgk7EYJDzw4rnOHXqVLKysjj66KP5/vvviY2NpaenB4fDQWFhAyZT5uBuThA4HC2UlIxDkvb4vX9yz66BoiLv6IBnrnrEiBUuxi75PUEQGDPme3bsmMFjjz3Gjh07eO6558jNzdVQY+bk5DBmzBiMRiMbNmygoaEBf/CXrzcajUiShMPhUO+31vuNRBCs6j1x94SLiwWVZjM6+l+MG3fWwC9mAJjEPv5Sfj55EXXkjEBe5I8fP6THGCqEPeSDAS4WoYREOVz71M7Tyenb94LnBwI319wEQFyqSX7jnHMOTmMMcN11AERHy1Hvk3o+5NFdZzF7zxvoJG9u5P0BT/KPgehHNzb282o7HM1UVd2hikjMmzePgoICfvGLX6jG2LsVSlAF7BVD56k7/Oc//5kNGzZo5uz+4PYnQqB4etdff72G2GPFihXcf//9flulXnjhBWbOnKnmKB999FF6e3uRJCPJyYvczkFwRQkmIEkSOp0Oi8XCnXfeyTPPPKMZv6OjA4fDBAi0tv6Trq51NDc/75N0ZSDwvHeCYEIUWwPePxlOF4NaP4IJsSjXvazsGERR5L777uPZZ59FkiTq6uo0Y1VXV7N27Vo+/vhjjTGeOnWq+m8l3+9OsuIOu92uqYD3rKMQBKtaGe8ZljabJVXLem+NcYatmhMsqzip7V/q65j2j6mLyKe7W05RUVKyV8fYlwgb5IMBkZEwYQLRUZCeAXo93FdxEem22uD7HkIYbi1ncve3pKVBYpQNbryxn67sYITRCHPnkpICw4fJuW6DHn7T9Bhntv79gEzJXf0IBqYfrfQnK0ZKkuQK6aeeeor333+f8vJyfvqpv37Bu5VJfpAqAvYK3I3ZsmXLMJlMXvP2bE+aNWuWaqjdQ5kKPL00z1Ya97HWrVvHmDFjPAxZFBERuV6tYMOHL1H5mAF+/PFHli1bpo5/8smK4lAPIFFffzNlZTOpqdFe92Do6lrH+vVRdHWtU9/zvHft7TJlZKD7p9Ml+eRsDtYTDUqVuGwk3e+ZZ/jfE5999hkPP/ywZmHlq3jPV++6IofoXsimfD5pUrvfHLHZLA06fxwh9nK85X3urLySR3adwxUNy7i88QG31/1M7foKSZK7LSgtHdRx9gfCBvlgwf/9HwApyXIRscEAj+46i2mdXx7YeQ0h7qu4CIAI5XmttDEdzLj1VgTXPDs7ISMToqJhZN++o8AMBE/yD08qx5SU33t4nnJrkWefMvQbQnfZvfj4eObPn09WVpbG0GZlZTF//nzi471z4Z7Gsr293WsbxTvyzPsq8GUc/FVcL1q0yCu/bbVamTBhAo888ojrs3Yf9KC/p6HhMQQh0Wv8f//73+r4W7du1RibzMw70etFzXUPhurqa5GkPqqrr1Pf87x3Fsu76mfy/bMTE3OS5v5JUrtfzuZAPdGTJvV/P5XzVEL17t+DG2+80atf+dxzz2XixIksWSKLpfi6DwsWLPCxYItk2jRtYdi+qqMAiHfsYf7u53ly56+5suFeinQbGD4cxo2TI9Lur5Ej5cV0Xx9QVhZs6AOGcA75YIIkwXPPwcsv43BAQwN0dsEzwx/kh/iDR0R7MIh37OGZHaeSmgqpKaC74Dy49eCVJtTA1S9eVy879K2tUNudzO/HfBp83yFEU9PT1NXdpObwMjIep6lpsYbKcdOm4djt9Zr9IiKmYrVu8uhTljT5X18I1gdcVFTEa6+9FrTvNDs7G51O57OC2l0a0WAwaPpmDQYDRqOR9PR0IiP7PcSysjLXOQuafPZAz0Gv1xMXF+dV0X3PPfdw7733qtc5Kekq2tpe0MgdZmRc53koDTZujMDhsGEwRDBlSp/XvRs27Bnq6hYhCA50Oh16fQ6FhfL1amt7h/Ly89DrZRGGwsIujMaB0+rK1fjeFcX+6E+zsrLUyMQpp5zCp59+yn/+8x9OPvlk9Ho9hYWFatuZd++6PE5srLwoEwQjeXkvYzRmDXjewTDcuou7Kq8kWuxEp5PrNpOTwWQE8vPhtNPkfkkFDQ3wz38idXUjAbrpZli+fMjnNRQIG+SDERYL3Hor0vr17NzRT2TRo4vjoZy/URE14YBObzBYUXY8kWIP+flyry9ffy2H6g8FSBLcdhvSF18ggFrk9bfhD/BT3Ek4haEvjw+V/AMk9Po0TKYRCIKRnp51fsdUjNO4ceMo8+MlBGrD+fe//82SJUvUbePi4njnnXf8klKYTCZSUlJoaGggNjaWhQsX8vTTT6sFTA888AB33nmnzyKhWbNmcd5553H11b5FBvLz86moqPDLiR0ZGcn69ev9ajIrQgeiKJKZmcmJJ54IQFdXFx9+KIu9TJw4kS1b5AprTyMWGTkFQZA9ToV0RcnXt7a+RWXl+URHR9PT04PJNBabbYfXvTMYsnE4atHrM4mIyNGMYbVWUV19E93d3zB16m4GAoejherqxbS1rQS8PfpQCFeeeOIJtajOvWhuIOMYjSOYPHnoeBXG9GzgjNZ/MLXrKwx62QgnJYHepIfZs+GCC2R32Fe1dkcHfPEF9PbK3Rge/ewHC8IG+WBFeztceCHOxmYaGsDhAGuf3B/brY9nccH79Opjg49zECC3bxvLKn5DaqqLu/u008DVKnPIQBThyitxbthEhYtVzeGE2ohRLMl7HUkY2uzP4AUh5GIcJf/ny8BGRUX55ZoOxP502mmnIUkS0dHRPPnkk1xzjf/q7nvuuYc//vGPGkYuRdA+NTWVuLg4KioqvAzd8OHDMZlkOsuKigqN5yuHjzMxmUw+9/X0lF966SUuv/xyzTkoFdjyYy8Cf1zPA7/ukaSn/w6A5ubHUfLtAxljoP3O/rBlSyF9fZs17wXrd77gggs0eWZ//ds6nY5PPvkkpL7pyZPrMBpT9+pcDKKNGR2fcrLlX4zq3UREhGxL4+NBFxMtF4VeeKHM7nMYIJxDPliRkAAvvoj+lzPJHg4jc2H0GPl7Fyd2sHz7iaqowsGOqV0yTV58vIv0wyXjdkhBp4M//Ql9pIlRo2SuktxcyLbu5B/bjuI3jY8y3OpfOWegSE/vD+cPlLP49ddfV/PD7n2uDoeD22+/3csYu4+fnZ3tl/1JqbS12WysXbs2YHWwXq8nJiaGtrY2dQzl4d7S0kJFhSy2oeSflXOoq6ujoqKCnTt3qsbV6GrQdzqd6ufu+yq5a8+w9VVXXeV1DrIxNpGW9kfy8uTCPKUILT8/n1dffVU9T8/rvm7dOr7++mtef/11H9e9j+bmx2hufgx3Y+zv3inXN00NreoG3O+soKHhcYqLBRoaHgfQ8GQrIeby8vKA/c6ehXrLli3DZpNISZEXGe79yMH6pqOjj8Fstu6VMY5xdjC35WWe3HkGVzfcwxTdJkaMkCPSiSOT0J18Enz4ISxadNgYYwgb5IMbw4bJvbB/+xuccw46QS76Gj5c/vhkt6KQgxnn7F6OXi8XVXDMMYFJPg5mjBkj8+Hedx8UFRETLefDo6Pg9I6V/KX8PC5senJIDtXYeI/rX0KI5BEyZs2apTFSCunGo48+yoIFC3jwQW81I/fxKysrfRra4cOHa5SY3nrrrYDVwXfeeaeqgewJX0aqqqoKkB/8ngsMd4augSxObr/9dp+LhYKCVeTkPKoWVdlsNoxGWUnqhhtu4OOPP2biRG/SlWuvvZa+vj7uuusuN9KVcRiN2V5z6+rq8jmGcu/+/Oc/A3JBnTtxy2BQX3+b5q/BkMq0aR3Ex89VDa0snOGfZtO9iE2v1xMVVURRkZWRI58hOnqGpoDLYrH4HSc7+zXGj/9mUOcBsmLb+c1P8dcdczi35Vly4/ZQUCCrvcVNGomwdCl8/DE88kg/CdBhhEP0yXgEQRDg6KNllilXS0pUlCygMK/lJVli8CCGIIkISCQkyJXjnHvugZ7S3iEnRy4aWbECTj6Z9HS5gnP0aJk/+5S2N4l07j13dX+Lko6sLN/sVcpDMCEhwaeRWrt2LcOHD0eSJLZu3UptbX8bnbvxeOutt2hvb1eNtSiKvPzyy0ycOJEVK1YwadIk1ev27AX211cMMn2iUjwG+PTaFSPlnjlTisF8KTkFWpycccYZGqpOnU7ntxVMkkQ6Oj7GZEokP/9tJk+u0rBabd682Ys1rNTVLlNVVUV7eztZWc8yaVIpkyfXkJp6ndfcfI2hQLlmer2eSZO04eWBQq+XNH8VjB69KiC3t7JI8ewlh+FERIxh164L2bXrAnp61nnd+927dzNnzhwKCgqYN28exx13HIIgYDT61pIOhhhnBwuan+XxXXM5s+0VhqX0MXoUZA3XEXH6r+Cvf4W334Zf/9r1IDk8ETbIhxreeQeDAbJdZFEvlB1/UBtloyT3e6qtqZMmHbjJDDUeflherT/1FDpB5jcxSHZmtb29V8N6tih1d68PGB5ubW31aaTOOusslQSirq6ObdvkVpjhw4drjIci7jB37lzVaJaUlKhGUhRFHwIU/qFQKbq3Jun1enU8d68d4IEHHvDRQiMb6dmzZ2vG9txXwaOPPuqV71QWCyNGrKCvz6ppBRMEHdnZf2XMmA0kJS0AwGBI0Vznd955R/3/q6++it1uVyMEkiRpSFdyc5+loOAr2ts7NHNT2sfc792DDz6oOd+Wln8GvJ6BUF+vvXb19Q+rn3l+j0RRZOfOnSrhitImBtpecqezWtVhtljeBGRKUfd7v2HDBj7++GPKy8t5//33efrpp12Lnd8MaP6CJPLr1ld4YucZnLXnZYYn9TBqFKQPN2G4YAH861/w0EPwy1/6LtY6zBAu6joU8X//h/TMMzS6qDYBnh+2jG8TTj+g0/KFsT3rWVJ1NSkpsioTf/kLuATmDyt8+inccQe1dXJB57Lcl9gRPSXobqFVU8s/Ufe2FJ1Ox5IlS1zyjnFAl1eBlTuFpWdRT1JSEna7nczMTHp6eujo6FCrrxUmK1EMXbwiLi6OTz75hO7ubs455xw6O4PLTfor7nKn4tTr9SqJhwKFZtNTUOGWW25R9wPUVjAFGzdmIEmtiKLIpEkdLnKNfmzZMpm+vhJuvvlmjVFVKrm924UiSE//vetYRhITz2LHjmM0c3vttdfo6ekhLy9PzX0r5+BL7lIZy1fLkNW6ix075iFJ/a1hNluZj3kpq1/5uq1Zs0b1hP0hWMFZUlISe/bs8dva1j93HUVFobPYLWh+lrmtL5OcLKd/DJEGOPtsuOyyg5fBbx8i7CEfirj0UgQgM0vOrcTEwLX1d3FFw7IDTpzuTg84veMLllRdjSC4EXK5aEIPO5xyChQVkZEh58rvqrqCP1deRoKjJeBuoUkpynBnrxJF0S083BWUftEznKrkZRsbG1VhgW3btiFJEpMmTcLpdJKamhpS/nru3Ll0dHTQ2dnJueeeS29vr89z9WTw8lXcZTAYNF6de6GWci6+ctfvv/++Zj+TaaZPBqvk5EVAjJcxBrBa5Zy3p/e9bt06zRz774lVLeRqanqQnTvneM2tp0eOXrkbY++x+uUuu7o+p7NzDaWlR3vNb8uWKVitW7DZytSX73nZUIwxwPz58/1GNeLi4oLm4wVBUOsBPO99fPxczGYJkynPtRCSsNtDj9il2+swGGTZVYMBeO89uO22I9IYQ9hDPnQhinDUUYDcCtVQDx2dsCXmKN5Ju47KyPE4hf2fa1m/PgpJ6kMQInkl7XqOcfyPjHRZzUr4059gwYL9Pqf9hl274De/QbLZabNAc7N8mx7PfoINccf53GVvpBRLS6eoHp8kSQFk7aKBHgRBYOzYsWroGmQjabPZ/B77tdde47rrrvPb3rR69WpOO+00zXuQDjSTl5fP8uXPM3z4cFX43h2xsbE+NXoVj2/ChAlByUt0ulREsUWzn+Ipmkxj1e0EwcDo0auIiCjwOY7D0cemTdEuko5JOJ2bVW97zZo1Qe+J0TgCu70JxRDq9Ynk5LxNRUV/NGggrUeTJ+/2qlK2WnexefOokMZy915rampISkry+Vl0dDT//ve//faSOxwOlSREgXKf8/NXk5h4mvp+Xd397N795ID6ppPszfx15xyyMiHp6DGy8toRjLCHfKhCp5OLvD79FL0OhmfLi8rJfT9wd+Vl/H3bDF4pnc4rpdO5ufpGcvq2BxVE2LLllxQXC2zZ8su9mFY/PWBR1/+IjJQ9eOEPf4D58wc97iGBggL45BMEcxHJSXKrWkQELK79AxO7v/e5y95IKSoen7KmVlpVCgo+xmp196Blj0WSJI0xBtRwsL9jW63WgN53d3e313v5+f9g9OjPqa/v5dxzL6CmpkatooZ+T9eXMQY5x/3SSy8RERGhKThy31eBYozB21N09ySt1i1s2eI/hWAwRGI05pGV9QzZ2Us13va8efMC3pPU1OuYOHEngmBHr9cTH38GU6e2kZw8C0GIxWgcqbnGr7zyitrr7av1SBAifbYMRUQUYDZLGI0jQ/qupKenI0kS2dnZPr9HCQkX0dvb67dYMCnpFnQ6nd97r4hY9N+3JSEb42hnJ8dZPuD49g8AMEVwcPPa7yeEPeTDAaIot0e98Qaiw0lXF9hs0N0tc7f2iSa1uGpV6hW8m+ab9q+4uP9hNxiid096wCX64SwakUFKMmqF+BGDLVvgssuQRJEdO2Rily0xR/FG+iKqI8f43GUgUooK3D07k2kKEyYUq58VF5vwZGpyl08EOTfY0iIbNUEQvI4dGxtLd3d3QFF5QPOeXp/C1KktOBwtbNs2neOPH8unn37CJZdcwmuvvebz3KOiovyGuv1RPcLAPMVJk2qIiNBKZyqsVu45/I6O1UCX5pgZGRmcdNJJgNwXXVlZyddff8OYMd8QGzsDgNLSY8jI+CPJyd4Lzz173qW29jYcjnLV409ISMBisaj31z13PnWqw2sMdzQ0PE5Dw80BZRv9ebbK96it7UMqK+f5zMfffPPNwAhEscrvvY+MnMzEiRsDztMXkuzN3Ft5CQkOeQGSkCCLt/DII+C6xkcqwh7y4QCdTm6QX70a3YL5xA+PJzVFzi+PGQOFY2wMGyb3y85reYnZe97wOYwv9RZ/sNmqKS2dydat09WXJ5n/A45aTm3YyvStW5k+ebJGJu+wx8SJ8N57CMhtUUmJcvTivoqL/LZFDURKUYG7Z+dujMG7DSY5OVnj+V1++eVUVlaydetWnn76aZ/HVoykXLEsj+fZ3iRXMXsLWgiCCbu9gTlzTqe0tFQ1xnPmzFH3VUg4/DGHga8caT9C8RSNxpGYzZKXMQYoKzuJtrZX3aqKVyKKHV7HbGpqYuXKlaxcuZJXX32VHTt2IAgyu5aC8eO/9WmM5Ws/n9zcFzQefldXl9/Wo507L6a4WPAr+WgyZQetGwj2PQqmFCaKclTDX+RFybkPBEn2Zp7c+WtSaaWgAEaPkukWOOMMcNGXHskIG+TDCSkpcPvtMmfrV1/B3XcjzJ6NLjaaxAT5i6/TwcVNjzGyVytBtnnzdM0DYcuWGQEPFUoxkgis7+uluLeX4pIS1q1bx7Rp0/bd+R9sGDYMXnsNU0EOWVkwYoT89tUN9/jcfCBSiu4oLNxFRsa1mveampbjdDqIju4XJdizZ49mwfTSSy9xwgknMHfuXG644Qa1LUY59uTJk1VKSkGIxGy2Aib1ga+0NyUnX4LZLCEIUepizmbror39I0TR5jofs7rf6tWr0el0agHXXXfd5dPzDUYAotfrA7ZBtbe3k57+EJMnawuq3OHOahXomApbmIJLLrkEURRVWcZQoNxfp9NJTEwMTqeTCRMmcM899wDa1qP29v5cak3NNZSWzsRmq3Yb6/KA3xUg6PfIUynMsz1M6QNXSEISE0+jqMhKVBJvNTIAADmHSURBVFSR6z576zT7g0G0cUbL//Fw+XyMBonsEbLqm/HsMxAefxzuvvuIaGsKhnDI+kjBX/6C+M672Kzw4pY2bqTcRfCn/AgkH6FB7Q8kP//fJCXNAwZXjKTT6airqyMzc3CMRIc0HnwQ6Z13aGgUsLRJXDX2K6y6KM0m69frNIZpxIgV1NRcg0LFKAgCRUVa2UHwHXa1WFb6nEYoXNiCYCI/fxXl5fOQXKkOQTBQVGR3zTOO1NRriIgYRXPzIxp5wOrqm2lpWU5RUSfl5Qtoa5PZsPT6cxHFdzQFWoIgaM5XaWf6wx/+EJBT+/zzz8disajSgBUVFX7Drrm575CcfLbP83THjh3z6OlZ7feYc+bMcQv1x+F0WlxzjmbaNN8RD7u9gYqKy9X70tX1ecA5HH/88aSlpbF7926++UZmu3JXs3Lnuvb8rgwb9hj19X/0Oa6v79GkSR1s3hyvUQpT4N4elpb2MCNG3Ow1ZlPT81733h/G9qzniob7yLJVk5Qs89nrdcAbb8iMOmGoCHvIRwpuugldhInISLhBNcYg/0jl/3mHBiXNq7z8LHWvgRYjTRw3DqfTeWQaY4DbbkMA4uPka32c5QPNxzabXOCk1+sxGNIxmyXS06/CbBYxGNI1nqcnfIVd3TEQukm9flJQb0jR4c3IuNbrgZyT8yhFRZ1eTFhTp76FJElIUpombKvX69V2KMXjU2QYFc93165dTJo0iXHjxnHWWWdhsVgA2bDU19cH9BQrKs6htfXNoLdn9OhVGqYudyjRAyV6lJX1APHxZ7jITnpxOm0+xywtPYrOzjVqO5OCGTNm+OTLPvPMM3n33XdJTEzE6XR6kaUoXNdWa4d67XS6eMxmiaysxZjNEjpdvBq5gAS/3yMZMSQnLwrYHubLGAM+770nTGIfCxsfZknV1eTrq8nPh8wsHfoLzpOjeGFj7IWwh3yk4e23WfWnP3GWq9BlIEUx+flrSUryzuMFK0Zavny5F9H/EYnLLqPvpxJqa+Wiuz/lv019RJ76seJ5+hKdd/c8PeFwtFBSko8odnrdz6OPPpqysrKA3qbS3gLRmM3e3t5AvCF3tLS8SFzcKURE9Gvy2mxdqmfm2WPs+ShSPOY77rjDZ8HXrFmz+PzzzwMSXsjjJDBtmiXofLu6fqSs7Chyc3OJjY2lsbGRzMxMtm7diiAIGunEqKhpOBxt2O2NREdP1kgnKrDbG9i0aSTg3Vb28ssvc+ON/eHuiIgIbDabV8RAG7FSIioC0ENs7IWMHattE7JY1rBrl0wQ5KswM9D3aCiRaa3ixrrbyLHtJD1DlkkUJk+WU2phQ+wXYQ/5SMO55zJv7Vokl/xhqMIFZrPk0xgDGA2ZAQtMcnK8i5GOSNx5J5ERci5Zr4MHy8/llD393pviefqC4nn6gruYwED4lJU8q2yMQRB8VzmH4g35QmrqlRpjDLgIOWKIj/+9G1e1XGzV771pCUDcjbG7R/nKK6+o+0VGRiIIAhluyj/9jF2+26s8UVV1hetvFVu2bKG1tZUtW7YgSZJH9Eikt7cYu70c6KGnZx1bt3rXRhiNWZjNVgyGqZSXlzN79mzmzp3LCSecwKJFi9DpdERFyUbWarV6LSy8I1a9rpfcxtbb+4nXMaurr3Ade7jPcwz0PRoKRIi9XND0V+6vuIh8aScj8yA5zYBw663w4othYxwEYYN8JCIvD5YsQerr46hf/CLgw9pgOCpoC9TuivkBw4YXX+y7GOmIQ0EBvPEGEWkJFIyC5CT4TdNjpNnqhmR4f2FXX3zK2orc+IAh8aFGUVEn+flPqtXhZnMNkiThdEYydaoVQejvN3av5gbtAjIrKwuTycTll19OTEwMkiTR1NSE0TiS3Nz/88kXbbGsobhYj8WyxmtenlXDoYf6A0snSpK8qFWK5oqLixFFkaKiIo2XPNBjDhv2tNe5iGKz6682DD1YdHWtY/36KLq61gXcziDa+HXrKzy+cy6/3vMqGYlW8vMgcnSOTPZx3nmHrsrbfkT4Ch3JiIggv6Ag4MM6w5DKSW3/4jjLB+gl797IuS0v0yXI7yvVmivuvx+rtb9aUxGoDwPZQ1i5EsOvTyM9A3SCyFGdgYt9BgJPgYRrrrmG3/zmNwEXTHq9kYiIk5AkCYvFd0vcvoB7dbjZLGE2d6HXm5Ak2YtSFgnyZ/LLs6q6r6+PpUuXavR8IyIKqKq6WlO1XFV1OWVls9i1ax4gUl5+FnZ7PxWpnB8X1api99qIb7/9lrFjx1JWVhaQqMUfJkz4Wf13SkoKt99+OwA//fQTDz30kGbbgZDDNDbeAohUV18JQFvbKkTR6VqEOGlr+3Cgt8QL1dXXIkl9VFf75i5QcEXjfVyw+yly4tooGAWZWQK6006VjbGHnGYY/hE2yEc4XnvttYAP66qu97m88QGualjK37fNwCRq2xxGtn0JyA/PdIMBqaGBq+64A1EUSU/vLyLxx8p0RCItDebORSfIMpoxzo4hG7qq6gqv+6lwVQdSP+rt/RqA2trQ23j2FczmMpfHLBclufOjjxz5pteCw5OWUy6g8lSnkvmi9Xo5b63TOTR80Z793JMmbVZlL++44w7q6uq48847AbjtttuwWCwkJFwbknSie265tbWVZ599lgsvvFCtElc84qeffjpoG5cs+bgZh6NF9YJFsZFduy6ksnKhZhFSWXmxS0JRfpWXL8QRhFvdE3Z7qeavT0gSv2xfTUoKZGWB6denwptvwgMPQGTkgI53pCNskI9wuIcGrVYrxxxzjIbkQRAEEhNlLXABeLHsWK6p/zMnt71LhNjDdMdmoiRYlJxM06efglsVdVNTE4sWLSImJobYWG8y/yMaLppAoxGyrTuHbFgl7KqQOYwYIUtBytXbBgRBICpqglfVrTvl6cEA2SOWvV5lkVBbeyOVlQsRRZEXX3xR1WtWqq4hcMj3nnvuQRRFDAYDTqcTu10r1+jZz60QtXR3y4VuH330EaWlpWqRY2vripAMnMPRoiHd6ejooKWlhQ8//FDjEY8cORLwr1vsTuqxZUuRJiTvi9BEFDs0lfdtba9SVnZyyPegs/NLnE5FctJGZ+c3XtsIksilTbLkY0wMsjf8wANhr3iQCFdZH8EoLy9n1KhRasWr+1dBKbgRRZGdeXnkxiexuwUsFpmp0x3D80wkRNrgu+9kCxNGcLjEQVr3QFMT/Hbc94hCcIa0QHA4+ti4US4S0uvTSUm5BIDm5scA2Lp1KxMnTsRgGE5S0vkAdHT8h74+WW9ZoTwdPvxvZGQEDlHuT2zYYND04/rCrFmz6Onp4YcffiA2Npbly5fz4YcfYrfb6ejoYO3atdhsNlVWUkFi4gXqvwXBSE7O4xgMqa7jpuB07tFcG6PRiNPpVOcxYsTTqgSjPxQXpyEIreoYkiTxxBNPMHv2bAoLC4mKimLmzJkUFxer6R3/VKVGEhPn09HxEdCtVmFHRUVxwgknEB0djdFoRBAEfve739Hb2+vGAxBPYWEVBkOi1xydznYaGh7U9LK3tb2F01mnHsNgyCYp6TzN9bpJiOasjlVkZMo1ETzxBBznW0gljOAIG+QjHIIgkJmZqZH2U5CVlUVjYyPS0qXw/vvYHbIdEUWZVKe924hJZyc+HvQLzoE77jgAZ3AIY84c2nc0U1cPV439EqsuOvg+QVBcHI1ciauFQggyc+ZMVU7QHdoWG7mtR4EgGH229ewPePKjuz+ufLXs/eMf/+Cyyy4jOjpa9WzdMWvWLP7zn//4NfAGw3CyspYAUFNzPeDdfiQIgspDHRExggkTtqFz3buWlleoqroUo7FANXy+9K3dta1BNsD33Xdf0BYuz3MJRPIycuRILBYLXV1dREfPYfToVX7H2r79FDo7vccIdoyZQhwf5o0hOVUPf/qTrGUcxqARNshhhIbNm+Gaa8DqCvNlZkJjoxzLPuEEmUs7IeGATvGQwxlnsKe0kcZGuC/3RbZHT93rIZ3OdrZsmYTdXuvTYCUnJ9PW1ua1X7AHrztL1L6CzVbNrl3na7w0X8ZMp0tBkuxIUgc6nY6///3vLFy4EID//Oc/zJo1i6VLl/Lggw/S3d2N0WjEbreTkJBAXFwcdXV1qoFPT08nJibGFYY24inGAZCens7JJ5/MF198QXNzM4IgIAgCRx99NOvWrcNgGElMjJyPHixDWmRkJH19farcZEREBD09PeTlvUF19Q04nS1qxOpf//oXY8eODcgbEB8fz9SpU/nqq6+8ZBJ9Idj3xtcxMjHyZeZERg/Xw113wbx5Id7pMPwhbJDDGDx6emRVcQ/h+TBCxHHH4ejsZdcuWdP60RFPsSn2mCEZuqrqeiyWF7wIQaqrqxk5ciSSJA1Yf9mzklgmofg1BQUfBX3ghwIlROyJYMbMYDBgt8uGNCcnh5qaGu666y6vlikFgdSjFOTn57t4nyu9PsvLy6O6upqSkhKfOs/KMUaOHBky6Y47TKaJ2GxyG1VS0gLy89+muvpmdu+WUw+JiYkBSV6GDRvGmjVrVPrQ0aN/JDa2yOc8PeHve+N5jPlSIk9k5JKZBcLFF8Mf/hDS+GEERrioK4zBIzo6bIz3Br/7HXqDTBRiMMDNAxAqCIbc3GcpKPiK9vYOTcVuTk4Os2bNAgbWYuOrrUcmoehvu9lbyO1B3pSSweg+b7/9dkpLS7niiiuoqakBvPuX3RFIPUpBdXUtLS0tXqISABUVFcyaNYvx48d76TMrEEWR8vJyr+v71VdfMXHiRObNm6eS7sTHx3PppZcCIAhRFBZuJj//bUymRDo6ViNJIjk5j2I2y4pLgaqwJUmiurpa2ylRdZnf8/SEv++NcoyO9nZe0RfwTLbLGJ93nhwdC2NIEDbIYYRxoHD++QijRhEdDUoRel7vwCXt/EGvT0AQfMvw6XQ6UlLuCqnFxh+GmoRioPzocohZxrRp03j55Zf9jj0QAz9ixLuMHbuJnh4rxx9/PKNHj1arpA0GA1u3buXdd2XRDIWTWq/Xq2Nce61SqR2JxWJh4cKFXHjhhSxcuJBLL70USZLo6elR89dWq1Vls4uIkHuwk5IWMGbMBrKz/4og9D+mffWZu1dhO517L5MY6HuDIDApW09qug7hxhvhllvCKk1DiLBBDiOMAwVBkBVvgPR0+a2llQtV4fa9RU3NooA95hbLvwesv6xgX5BQKHDvAQ60WBAEuVpaafHKy/u3up27AYaBUcSmp5+DThcDOBk2bBg7duzA6XS62n+cvPPOO8TExPD0009rWo/Ky8spKiriueeeY8qUKYDcs69oKb/66qs0N8uLGFmYQjaeNpvk03hGROSSmqqNPvjqM3e/p5GRk/ZKJhGCf29u2dMAr70GCxeGjfEQI5xDDiOMA421a5H+9Cd6e6GqElalXM476dfv9bA//xyNKMoV13p9IqNGfczOnaer0oEK/LXY6PUpTJ3a4lPesaNjNdCl5mIFIY74+Dnq554tRANFW9uHVFbO08gqFhUVcd111yFJEiNHvk9V1Tx0Oh0m0xQmTChW9924MRto0uRBR48eza5du/wKoOh0BUydukM91+7u77DZdmrapCZPnsymTZsAOY9rsVg0+WhBEJg8eTJ6vZ6NGzficDhISkoiKSlJkytWKt0lKRqzWSbM2brVjM22EVEUmTy5B4PBN6HG+vUGJEmRr5RlMnftmkO/tGK/TCYMThjE/XsTh54VkaO4xrqTDtdxoyMj6fYh9hHG3iNskMMI40BDFGHxYvj6a6qqoa0nkivHfb1XQzqdNjZujESn0xETczqjR/fLPe7YcSbd3R8jimJI+stbthTS1+cdug5eOVzIxImbBjV/pcDLfbHgDr0+Bb0+gfT0WzRkHgpqa5fS3Hwvs2b9ik8//VRtd/KnmxwRcQoTJqzxOtd+LWLfPdD+roH7foIguAQ8ItHpbJqCMvc+aKu1Aqu1gWnTqnxeE4ejj02bon0uQkI16MGQ3FvB2tICdDodxwsxfDhmNFFRMinQmQ0NfNzUhCiK9PX1qbKZYQwdwiHrMMI40NDpZIOMXCNnkvoY27N+r4bU601ERc0gJ+dNjTEGGD36AzIzX3JtF1x/eezY/6DTxQGh52J1unjGjv1yQHN2F34QRbk1y53u053tShT3eDFruSM9/QpNHvTzzz8PGIZVlJPczzU1NdVLkziUa5Cenq7ZT1HTgj6vgjJ3Jq3e3u8xmfy3DnrSe7pjwoRisrKewWjMG5QxNog2Lmx6kicrz2WKEMULSTmsnTya6HG5CDffDG+9xQe1tbz55pvMmDEjbIz3EcIechhhHAyQJDj5ZMT2TnbuhPcTLmFlxk379JAD1V/esWMePT2rg7bEBCOh8IdNm4Zjt9cDaQhCCzqdDkFIYcqUJtraVlFRcbaGIKSwsNMl5+iN6uob2L37GTcP24bi+cuIBbT86nFxp6lh+a6urwCbJiRtNBoxGAz09PSg1+vVQrJHHnkEu91OQ0MD33zzDQ6Hw6u1SmHRUl7Lli2jp6dH0/4UiElrX2Jq51dc0vQo6Y46UpIhNdUlzHT11fDb34Y7KfYjwgY5jDAOFrzyCjz1FNu3w0cJF/HPjMUHekZesFjWUF4+x28uNhQSCn/YsMGI06l4k3pMplFER8uMYZ45a89wr2fOuqQkG5sqa5mMILSpFLEAJlM2hYU1FBcLQSk5g/VA93vAoe9XWFjIo48+uteLmL1Bqq2eS5oeZVrXl8TEyFw/ESbgmGPgnntUvvUw9h/CIeswwjhYoIoLwJSur8mwVe+zQ7krKA0EwdpuDIb0Qc3HvWpbhhObrUwN53oKJwB+hRNE0YHdXo9ebyA9fTFmc6uqt5yevhi93oDdXocoOjCb5fdlyJ5gqGF5vV7Pv//9b69eZYPBoO43Y8YMABYuXKhprVq0aJFaMZ6b+8F+NcYG0cbclpd5qHwBR/V9SXY25ORAxEwzvPUWPPVU2BgfIIQ95DDCOFjQ0QGnnEJbq5PGRjmK/VDOs2yJOWrID7V+fRSS1IcgRFJUFHrF7JYtk+nrK/FbmR0ZOZmJEzcGHCNY1bY7+1WobGKe4d6KiktJTb2auLhfeh2/s/MbWlpWEBNzLDU1VzNixArS068CoLT0l9hsPwQNyzscDs01UCgvlUIuxWtW6C4VKN54XFwcS5cuHTCT1l5Bkpje+R/O3/00mbYaklPk8LQ+LUWuYTj11HAb0wFG2CCHEcbBhBdfhOefx26H8gooM03m3tyXhvxB6a6gNHWqd8jVH3y13ZSXz0OSbK73tG03vjCQqm2DwbDPctb+FiWtrW9SVXWh37C89yMzBWjVqEI9+OCD3HrrrarUowL36us77rgj5EXMXkGSmNr1NfNbnie3r4zYGMjIgIgoHVxwgcxR7+rNDuPAIhyyDiOMgwlXXglXX43RCDHRMKp3EzfV3TKkh2hq0hJaNDU9F9J+MrmEiF4v53eLiqyDIqEYSNV2SkqKX4IQi8WCw+EgOfmigV4CwL8GtMGQHjAs7w6TaTQmk5y3FgSBl16Sq9dvu+02jEYjoih6VIf3X/fBMmmFCkESKer8H0srL2Vx7R8YrysjN1cJTxfJ5B6LF4eN8UGEsEEOI4yDDZddBjk5DM+WGbzMnf8l2tkZdDdfsNmqKS2dydat09VXbe0ijfGorf295vPS0pnYfOSvDYZIJEnRztaGuQfSdmMwpDJtWgfx8XODMmg1NTX5NY4KqquvGfB1CbQoqaq6NGCLlDtsth3YbGUAGI1GZs+ereaUHQ4HkiRpjiNJEpWVlRovW5IcbNt2Mtu3n47d7i2DOlDoJCfHWT7ggYoLWFT7RybqtpKTA7m5EFM0Dv76V1i+HMaM2etjhTG0CIeswwjjYERDA5x5JrV1cmp5sHrJg1VQ8ie3qFRC6/UGpk4NHJr2B/ccss1WT2/vVz7Dw5999hkyJYXkM2f9wAMPqOFfk2kq4Fu7OTRZx34N6N5e9x5fHSNHvk5l5UWA1hhDf457zpw5quKUJ0JRl1JgNI5g8uTBFfPpJTsnWN7n4qbHMEo2YmMhNUXWgGH0aLmN6cQTw3nigxhhgxxGGAcj7HaYM4fO6jZqauW3VqVeybtpvokw/MFmq6akJA8Q91pu0bMXOC/vfZKSzhjwqXnmkHU6nU8GrcWLfbd9CYKAJEmanK37Y8xzMTHYRQkImM39RrikJB+nsxpRFCks7KK0dCKSVEtsbCwPPfQQ11zj21MPfhwFJiZPrsNoHBjdqE5ycrzlfea1vkSKvZGEBEhJhshIYPJkOeJy7LFhQ3wIIGyQwwjjYMXq1Uh//jM2K7S0Qns7XDfmC7r18QMeavPmSTidZUELpPT6sUyatHmf8lc7HC2UlOQjip0YjUbsdrvfqm3F+AJMnTqVyMhIIiIi+N///ufX84yOPha9Ppa8vJcxGrMGuSgRKCys91qU1NXdz+7dTzJ16m4AGhoep77+jwA89dRT3HijLKEZ+nGUOR/D+PHfhH5DASSJoq4vOb/5abJslcTHQ1oqREQgM3s89xwUFYUN8SGEsEEOI4yDGdOn02eFqipwOuHScT8gCYMr/WhufoHa2mv8Vg9nZy9X23/2B3/1jh3z6Oz8QDWmJpOJVatWMW/ePGw2W9D9g83FM/zrb1GyZs0a5syZQ1RUFDabTV2U+ILFsoZdu35NQcFHJCaeRmvrW1RWng9ARkYG8+bN46WXXkIQhKCLHyWnnJv7Bikp54d0zRSk2uq5quFexvf8REyMXGsQFQnMmAHXXQcTJw5ovDAODoSLusII42DGQw8RGQEJLopjicF7O0ZjVshyi/uDvzov701Arj6Oi4vDarVy2mmnYbVaiYuLU4UZJkwoB/QDmguYGD9eywfuT9bxiiuuUDWKg2lAV1dfAYhUV8uyiFVVl6tV1C0tLaxYsQKn04nD4QgoH3n++efz6KOPIggCRuOwkK8ZwAmWVTxQcQGT7T/JxVo5EHXUZHj5ZXjmmbAxPoQRNshhhHEw47jjIDoaoxEcghGBwQe0glUPV1ZerG47kEro6upq4uPnMm1a+4B4mA2GSPT6YTidTu69917NImHp0qWugq1hREXlkZ//HhCarnF09DGYzVafuVhfixJ3jeJAGtAAotjs+tsEgCR1a6qok5KuULcNtPj55z//6XbdfxPyNZvW+SVXNCwjM76H/HyIHZUFjz4KL70k54vDOKQRNshhhHEwo60Nenro7QWDZCda7Aq+jx/4UlDq67Oq/bCi6F34NHr0KnJzPwjo7Q2E+tFub2D79tMpK5tFWdksVZvZ1yIBwOm0sH376VRWXgLAmWeeGXAu2dmvBczF+lqUOJ1O1aDu2jXf774tLa+q9J6i6GTr1mMAbf9xe/vb6vaiKPLyyy9TWFjos3VKue4OR23Q6xYh9nJe8zNc2XAvsbEwLAv0vzoJVq4MV04fRgjnkMMI42DHVVdh++FnKsrhk4TzeCXz1gEPYbN1sXlzvEZBScHGjRlIUiuiKDJpUoeXglJX14/s2DHDr5bwQKgfN20agd3u2wCZTCbGjx/Pxo3erFXuxV3+qrJvvvlmCgr+S3z8cT7Hdzha2LgxzeNd3xrFkmSlu3s9giAQETEVgyESi+VNdDrBq5AsPT2dk08+mf/+9780NjaGdB3kUPVITdW20ei7rU2QRH5XdwczutcSHy/niw3TJstecdgQH1YIe8hhhHGw4957MUXoSEqCX7W9Q27ftgEPIRvZGJKTF2mMMcCUKU0kJy8CYnzKGVZVXREw1F1VdVnI8xg//gcUEYecnBwEQXDRd07FarXyzTffsHXrVkaNGqXmkBXIuVohSNjdf/h327YTfLzrW6O4vf3fOBxV2O2VdHW9h8WyEpC8tgVobm5m5cqVNDY2Mnr0aI9cNkAimZn3YTZLbucBBQU/kJa2FJ0uxa8xBsjtK+OozrUMy5I9Y8Pxv4Qnnwwb48MQYQ85jDAOBTz8MOKbb1FeDp9Fz+OlrLv226GHgr/aE4qIg9Pp5He/+x1PP/20+plSiWyxWIAIzOY+Vbu5peVxtxYnhbTjQhStY0HQUVTkW0rR3UMeSFtSTk4OL730UtBt4+Pj+fvf/84VV1zhqqJOYNq0Fq95bNs2i+7uLzQ9zv4wumcjlzfez0ixnIIC0J18EjzySMjXOYxDC2EPOYwwDgVMnoxOANEJKfam4NsPEdz5q6OiigbNX+2J8eO/ITv7NQDKyso0nyn54JEjV2I2y+MWFXWSlXUvoBRf5WE2O0lJOR+zWcRkynPNRcJu7/F5TIMhFbNZGlChWnz8XOrr64NuO3fuXNrb23n++efVvLovYwwwbtzaoMa4oLeE26uu5a6qK8iXyskZAboR2bB0aWgXOIxDEmGDHEYYhwJGjAAgKQkmda/jjqqryevdN6IE7jAYIjEa88jKeoYJE4o1nw2Ev9r32IFFHDzbgYzGaHS6FNLSllJYWK75rLCwPKTwLwysUC2UbZ955hkyMzOHRBd6mLWCP9Qs5u7Ky5jq/IkR2ZBfABGjRsg6xdEDp08N49BB2CCHEcahgIkT4eKLSU2T2ZimONfzu7o79suhCwt3kZHhm7IzI+NaCgt3DWrc4G1Y3vngqVN3M3z4Es17zc0vUFwsYDSmqwxawWAwpPhcDBx33HGukLgx6LaK8f3d7363V3l1kOkvz9r9Ag+UX8BR1i8ZPhzy8yFuwgiEu++GN9+UZZrCOKwRNshhhHGo4KabEM45h7Q02VNOt9dyaeNDpNnqDvTMBgWl3Uduw7IzcuRK+vpsA2oHAqitvVHz1xMWyxqKi/VYLGvU9/wVqn3zzTeuzxcG3VYxvk6nk4KCj7FaByepmGGr5s+VlzO/ZTnpqU4KCiChIA3hjjvg7bfhzDPBZAp5vDAOXYSLusII41DDn/6EY81a2iyw2+UQ/hR3MqtSr6AqcuwBnVqosNt7KCmJRafTodfnaELQniIOwULQGzYYVNWnqVMdXp9v2jQcu70eo3E4kyfLRt5foZogOFQNY2Usz21zc9+isvIsdXz3oratW83YbBsRRZHJk3uChvKP6ljLlQ33Em/oYdgwiI7RwW9/C5df7lKHCONIQthDDiOMQw0334zhNxeQliqr6qWnwTF9X3BX5RXEOdoO9OzUEHJz8wt+txmqfHAgXWMFnuxa/grVCgtrkCRJHauvr8bntikp8zCZ8jEaR3gVtYWcV5ckzt69gt/X/Yn02B7y8iB6bI5Mf3n99WFjfIQi7CGHEcahivXr4fXX4b//xeGEHTvgq/hfs2LYga3EXb8+CknqQxAiKSrqHbJxB6prDOB0dmK371BlGo3GKdhsGwATaWk3kZw8T922o+MTmpoeYPPmEiZOnERm5hLi42eza9d5JCVdRHLyfGJizAhCf365qel5mpsfGVAe3SDauKrhXmZ2rCE9DVJSQZgzB/70p3DR1hGOsEEOI4xDHRUVcO65tLRA82742/C/8H38KQdsOsFCyIMfN7Cu8XHHHcfXX3/t9bk/mUZfmDVrNp99toZZs2bz+eefen2el/c6yckXDvocopxd3FxzE2P6NjJ8GMQnCHDjjfCb34SJPsIIh6zDCOOQR14ezJlDQiLExMD1dXeQZa08IFMJJYQ8WEyY8DPKI8uX6tOePd7GGtCwayksWcpfBWlpaa6x3gVg1ap/uSlIFSAIApmZd5KUdO6g5x/jbOf26usYZ9vIyFyIT4+UST4uuSRsjMMAwh5yGGEcHmhuhmuvRayqpmwbvJS5hP8mnb1PDzmYELIgGCkoeDOoqlIg+NM1bmlpIScnh97eXp9MXL/85S/57rvv1PC156Pvk08+8aFdfBF9fRHk5LxGXNxJg55zgqOFP1VfT66jnJwciMxMlKUSx40b9JhhHH4IG+Qwwjhc8NNPcO21lFfARt003km7jl2Rk3Do9k3LTLAQ8imnnMLatWu9Ptfrk5k6tXWvjt3c/AK1tdcwa9YsPv20P7R86qmn8tlnn6n/l8U0ZO/T6XR6ha/1er0aXnc6naxZs4bZs2e7xprNl19uZ9y4HzEYvKUcQ0WifTd3Vl3FcKmWnFyIGJYKzz4rNxqHEYYbwiHrMMI4XDBlCqSnk5oK43t/ZknV1dxVdSWCFJwzeTAIFkJ+77333MK+ivHRMWHClr0+ti9dY4WsQ6frf6wpfcJOp9y25CkO4R5eBzjttNPcxjoNh6MBQYgY9DwjxB5urrmJ4VItuSMhIjcLXnwxbIzD8ImwQQ4jjMMFRiP84Q/EJ+gYPQYyMiCvbysmaWA806HCZMrBbHYSETExJG7oiIiJmM1OTKbMvT52MJYvd+Tn53P99dcDsHbtWgRBUD13dy1jBStWrGDChAksXrwYp9NKe/tHg5ukJHF1/VJG2rczIgdMucNkycTs7MGNF8Zhj3DIOowwDjfs3AkXXEBLq5xafnk/5JMDhZDXrl1LdvZy0tOvGrLjrV+v0+SAhw17jPr6P/rc1mAw4HD4rvYOFl4HSEpaQH7+2wOe4+mtr3Fh85NkZ0N8Zgz83//JBXhhhOEHYQ85jDAON4waBcceS3KS3NZ6eeP9xDt8VyAPFQKFkAVB2KsiLk/YbF2AXCltMKRjNkvo9UbNNu46yp7GOPTwuoyOjtVIAwz7j+rZxAXNT5GSAvFxwLJlYWMcRlCEDXIYYRyOWLoUnU4OWwNk2Sr36eGCC0VcPGTHMpligRiSkxcxZYrMvtXe/q5XS5PCrpWUdC06nY4nnngCIGB4/cwzz1R1kM1miUmTKsnO/iuCEPqjUic5ubrhHmKiRNLTkWkwjz9+iM4+jMMZYYMcRhiHIxISYMIE7K6OpEndP+zTw4miTNkpC0VYGTFiBX19VlVsQRSH1kMvKuokJ0eWQ7Tbm+no+J+mQEuSklTJyLa259XFQkREBA6Hw6+cYl+fnG8XBJm6MiIil9TUKwc0t1G9JWTaqknPAGHCBLjmmiE44zCOBIQNchhhHK5YsID4ONk2n2B5b58dxlcIOT39KsxmEYMhXfVYle32BpJkZ8+e99i8eSIlJeMoKRnHli1TAc8CLQvNzU9SUtLf56ssFiDOb3hdmatOZ2ewmNb1FQY9REUB550HHiQkYYThD2GDHEYYhyvmzgXAYIBERwu3VV9PtLNzyA/jK4SsYMqUJpKTFwExru32Dm1tb1NRcTZW61ZstjJstjKczgbAs6VJVD93h9ksAZ0+w+uffPLJXrOMHdP+Mb9qe5vYWFce+5hj9vqcwzhyEK6yDiOMwxlnnomtqoHGJujqgm3RRTyQu+JAz2rQkCQ7lZU3sWePbCx9MXJ1d3dTXV1NXV0d11xzjZoTLixswGTK9KrQdoeWOGRgLGPmzv9yU+3NJMRDRiYYjp0JTz89tBcgjMMaYQ85jDAOZzz+OCYTpKVBZiaM61nPVfVL0bn0fT1hsayhuFiPxbJmP080NAiCkby8Zxkz5gtAP4D+ZwmTKZPGxg0Bx/f0snt7i9VXT886tm6d5nO/aGcnlzfcT1wcDBsOhmOOhvvuG9qTD+OwR9gghxHG4YzRo+Hll4mKlHPJiQlwfPsHnL7nnz43r66+AhCprh5YIdP+RlzcSUyZ0ojTGee3QKu9vZ2srGeZNGmz+n5m5lSXdywwlCxjZ7e8QILURmYmCCeeKPNUJyQM6TmHcfgjbJDDCONwx+TJ8MUX6MeOZtgwSEyC85uf4pzdy71yynZ7vetv3YGY6YAgCCYkqW3A/c9ms4TZLA4Zy9gwawWn7HmT1BQwxkTAzTeH1ZvCGBTCBjmMMI4ExMfD66/D3LlkZECECc5qeYHnt5/EnZVXMrN9DR2t72p2aWv78ABNNjQolJZ70/88adJmsrKeHZCXrYEkcXHT40QanSSnAJdeKucGwghjEDAc6AmEEUYY+wmCAH/6E7qvv8bU3cyd9dV0WSWcbbug7V3qxQ6N+lFl5cXs+f/27j24yvrO4/j7eZ5zTs7JObmQhECAnIQ7SLiGFdCOVKRrUUSquOtotVtmhXWmg3RdL9tV2y6d0W1ZqsOMl1bXqdNtZXSYbe3idpTV1htrQeVSKHJNiFzCJReSnPs5+8eTBEIAIZzkOcn5vGYYOHnO5Xv+4ZPf8/v9vr9TN531cjfB4JorOvkonRobz/wC0bHfOTf3WtraPris/c/ndhl7+umnWblyJQsWLGDjxo0X7TI2pfUjJrd+xJARYJYNhXvvvcJvJdlMgSySTTweWLuWm6ZNY0e4+6ETRtJgzpw57ecFN9PY+GqX66HQZ0yatK2vqr2gVCpJQ8NvMAyj/YjF4s4tVw0Nr7N//x1YlkUymSQabbnolqtzu4xFIhFeeeUVHnrooc5R9rRpJ8772kUn/gOfDwJ5wIoV4PX2xteVLKFb1iLZZvx4Xvv0U6z2Ywpzc3OZO3cugUCgS3ONQCDA3Llzyc3NbX+hxejR6x0quivDMKmoeA7wddv/PGjQEqqqDuLzzeNS9j/3tMvY2LatjAt9RkkxGCNHwvz5aflukr20D1kkC02ePJkdO7rPi86cOZMdO3ZQVVXF5s2bu133eidnxAg5XaLRFnbsyO82ygbYunUIqdRJkskkVVXN3YJ9Rd1DXBt9h1GjwPjBD2Dhwj6uXgYajZBFstA777xDXl4e0HXbTyQSIRwOE41Gu237Mc18xo//o5Nlp11Pu4yVRA9TffoPFA0Co7gYbryxz2qWgUuBLJKFSkpKaG5uZtGiRV22/ezebbea3L17d5dtP/n5i5g+vQmXq9DZwnvB2QdVnCsYXM2MGd3bjd7Y8CouK0lBIXa/are723NELpduWYtkucrKSmpra6murmbLli3Mnj2bTZs2dT62rAqmTj3gdJkZw52MsHbP1ykfdJohIzywYQMUFjpdlgwAWmUtkoWampp46qmniMVi1NTUALB3797ORV2TJk1i7969pFIp4vGDHDr0TxiGm7KyR7Gs7O5AdfXpjeQmTzOoEPja1xTGkjYKZJEstGTJEt5+++0uP2tsbGT+/PmdvZzPvl5f/+8AtLV9wrhxv+/TWi+mvv7nHDq0jPLyn1Fael+ffOb1Devx++0dZNx2W598pmQH3bIWyUJNTU1UVVVRV1d3yScmud3lTJq0E8u68mMU0+WTT3ykUmEMw8uMGaFe/7xhkQM8tf8Ohg+HgmmjYN06tcmUtNGiLpEsVFBQwKFDh1i2bNkl9XIuLl7GlCm1GRXGAKYZ6/J3b7um6U0sC/LygMWLFcaSVgpkkSz2wgsvMHjw4Iv2ck6lBlNZ+YJDFV7YsWNrSSaTzJkzh2QyybFjz/X6Z05t/YBAAEwDbXWStNMcskiW27hxI1VVVRfs5Tx+/LtOl0g0Wsu+fX9LKnVmJBwKfYppnlmEVlf3HU6efKnzumG4GT163UV7UV+O/PgpKsK7CRQBEyZAcXFa3lekg0bIIllu5cqVFz0x6dChFU6XyM6d02lr20QotKXzDySZN29e5yI0SHa53ta2iZ07p6ethqrW/wPA7wdmz07b+4p00KIukSyXm5tLKGQviCq0LH5TMYaF+/dymgQAppnL9OmtTpZINFrL9u0jgeQlL0IDk8mTvzjvGcY9sezw95kf+W9GjQSefx5mzkzL+4p00AhZJItFo1HC4TCWZbFw4UIali5lTl6AunHTmOfOx7IsUqkQiUTU0To9niDV1QlyciZd0iK0nJxJVFcn0hbGAFe1bsafC+TkwJQpaXtfkQ4KZJEs5vF4mD17NuvWreONN96AH/0I94wp5OfBLweP5UnXWHy+WViWx+lSAaiq2kFZ2bMXXYRWVvYsVVXdD864EgXxkxTFj+HLBSZPbt+ELJJeCmSRLPfhhx9y++232w9KS+HFF6GwEH8Abrb8zB39mrMFnsPtLsMwjM5FaMuXL2fXrl0sWLAAwzDStojrbBVhu8e314u9oEukFyiQRaQr04RZs/B57Ydl0YOOlnOumppvXXQR2sGDd6f9M8uiNRhG+xkS7adfiaSbAllEutu+nbb2xletZr6ztZwjmWwAYNWqVUQiEcrLf0Y4HGHVqlXt10+l/TML4ydwucAAGJq+eWmRsymQRaS7SASXZf+z1cqcQI5GWwCwLAuXq5Tq6hSlpfdRXZ3E5SrFsqwuz0uXgvhJ3B1dG0pK0vreIh0UyCLSVSoFJ08Sa+/BYZJ0tp6zeDwBwE9R0UqmTj3W5drUqccoKloJ+Nuflz6BRCPtWa/TnaTXqFOXiHS1217AFInYD09bhc7Vch4zZpy+4LVgcDXB4OoLXu8pb7IN093+IJBZ/bxl4NAIWUS6Stoj4lDYfuhLOtsUJBO4U9Ez50i43Rd9rkhPKZBFpKugvW3I57Oz58FDD2Cl+uY0JZFspkAWka4CAViwgCGlMHw4lMVq+YfDTzhdlaPCZi7JRPuDlvQuGBPpoEAWke5++EOYMAGfzx4pz2p+C3cy4nRVjmkz80h0rG1TIEsvUSCLSHemCStWYEDn3OlP995CeXiPo2U5pcUqINExQm5qcrQWGbgUyCJyfjNnwsyZBIN2c6oS6xSLT7zodFWOaHYVEY+3P6ivd7QWGbgUyCJyfqYJa9difOMbeHPsLlV/dXojs5rfcrqyPnfUEyQex75tXVvrdDkyQCmQReTC3G645x4wTYYMgfw8uP+LxxgWOeB0ZX3qaPuBFbEoCmTpNQpkEbm4YBBWryZQPohhw8FlJri6+W2nq+pTRz3lAESjQE2Ns8XIgKVAFpEvd9118NJLmAbkBWB+w2t4kmGnq+ozrVYBDa5Su1nKrl2dzVNE0kmBLCKXJhiEWbMoLoH8xClGhnc5XVGf2uerIhwC2trg4EGny5EBSIEsIpdu+vTOU6C+fuo/7YMossQ+XxWhcPtX/uwzp8uRAUiBLCKX7qqrcLnsI4GrT7/LhLZPnK6oz/wldwbJZHuP7z/9yelyZABSIIvIpbvmGqiuJi/PfhhIZE+TjAPeiYRMP62twObNmkeWtFMgi8jluekmXJbdwas4ftTpavpM0rD4S241ba1AQwPs3et0STLAKJBF5PJMnIhhQMAPNzS8jpWKf/lrBojt/tm0hbDbaL6VfQ1SpHcpkEXk8owdCzNmUDIYhkZruao1e+ZTP86fTzJl0tQMbNig29aSVgpkEbk8hgELF+L1gmnAiMg+pyvqM82uIrb7Z9vnSxw7Bps2OV2SDCAKZBG5fBUVGIAnB8aEtjtdTZ/6Y+EiQiGIxrAXd4mkiQJZRC5fLAacOXBi+eEnMFLZcft2j28KgN0kRIEsaaRAFpHLN3EilJZSUQnDyuDapg38dcM6p6vqEw3uUg57RtLSCuzcCc3NTpckA4QCWUQun98Pr76K+Td3UFgIhYVwy4mXs2bF9V7fZFpbIAUaJUvaKJBFpGfy8+HBBwHIyYG8RAOuVNThovrG9sBsYvH2058UyJImLqcLEJF+7N13SWHftTVIserANznqCbI5bx6HPZUcyamk1cp3usq02+a/hhQGoVCKnK1bnS5HBggFsoj0XDCIYZrk5SUJhWC8r5ayplqmtbzf+ZSfjljDAe9EKiKfs887iRZXoXP1pknIClCXM4ZBbXso3LMHWlvt2/giV0CBLCI9N24cLF9O8XPPUVAAbpc9n+zxwOHDEInAd+v+sfPpccPNv4z8NUdyKh0rOV12505ndMseuznI1q12n2+RK6A5ZBG5Mt/+Nsbjj+NethQWLcI/ZhhuFwwfDhUVUFwEQ4ZAZSV4zRj/tn8JNzS87nTVV2x37jSiMYgngB07nC5HBgCNkEXkypgm3Hpr159t24brscdwHT7MkCFnflxUBM2n4VtHnyKFwf8Our1va02j/d5JgL0fOfDnPztcjQwECmQRSb8pU+C3vz2zRzc/H9asoeRXvyLXD1/Uwd8dfRKDFH8oWETCcJEy+tcNu+PuYbRa+YRCzQR27YJUym4rKtJDRiqVSjldhIhkibvuIvX554RDUFcHsXO2LZ90D+XJ4PPUe0Y4U99lerj2O8wxNlFeDvzudzB0qNMlST/Wv34lFZH+7Re/wPB48PqgotL+kd8Pg0vAsmBw/Cir9y3mlV0zeWXXTK5t2uBouV9mv/cqQqH2BiE7dzpdjvRzCmQR6TtuN7z/PsZ99+Fxw6iREAzC4MEwYrg9wMz12Y1GcnJg+eEnCMQbna76gmq844kn2s9HPnDA6XKkn9Mcsoj0LdOE5cth9Gi8770HgwbBm2/i5yQA/oB9aEU4DIfq4Nk98wF4s+ibvFq6IqPmmjturcdi4DpyxOFqpL9TIIuIM+bPt/8ArFxp96F8/33cDz8MQCAAlRVQUwsuCxac+iVNrmI2FN/jXM3naHANBuxA9tXXO1yN9HeZ86umiGQ3jwfmzbN7Q2/eDI8/js9n39YuD9pzzHfWP8MTB5dSHt7jdLUAnLYKiRtu4nHg+HGny5F+ToEsIpnp1lvh+efxeCDHAwUF9qh5XGQb36tdjisZxZ2MYKVijpWYMkxarXwScWBPe9cukR7SticRyXx33UVq9+dEo1B7yL5F3BO/L7qL/yr5+7QeePG9muXMSG2hohKMn/wErr8+be8t2UWBLCKZLxaDZctg+3aiUbtH9vET9txyImn344jH7dXOHo/971TKHrDm5NjT04mE/bxz/8d7p/A2Xh76zz1u6jGn6X+4//BjjB0L7vvvsxesifSAFnWJSOZzu+Hll2H3bjw//jGerVvxB+xLqaQ9v9zSYodzfv6ZO8emYedsLGYHclMztLXZ7S47Fmtf37ie6xvXc+/Enp1rnJ84hWnaNZCXd+XfVbKW5pBFpP8YPx5eegnWr8ecex2mAdaYkYA9v1yQb2+ZssaMwnJbGKNHwZQpuN3g9UJpqb3vefQYGDUKguX26wDuPPZMj0oaGdqFYdjhT2FhWr6mZCfdshaR/i8WgyNHYMQIe5/z+USjsGYNvN71pKlwBGpq7BH0C8P+lQ8Kbjrvy/2JZu6sf4bC+An8iWbGhLZ3uT5xAhh3LIFHH03LV5Lso0AWkez1yCOwcSMNjXDihJ3r7xXcws+Hfb/zKYF4Iyu+eIQJbVuwLEgmwJMDLpd9mzoSBrfHPm7S+u4DcE/m7JOW/kWBLCLZbelS2LaNEyftw6nCYfh16UreLLqbQfHjPL13IZaZxDIh12+39zRN+9Z4x3+eBsCwYbB2rX0ItEgPKJBFJLvFYjBnDmDf1d6370zQtpl55CZPEyy356BdHctgFy+Gr34VPv4YysrghhugpOTCt8tFLoECWUQkkYCFC+H4cVpaoakRQmE7oMFeCBbwA3ffbbf51LnH0gsUyCIiYO+VeuAB+OgjABqboL7enjOuqASfF7ulp0gvUSCLiJwtHIavfAWAWNxuMuL1gnH11fDssw4XJwOZJjxERM7m9dpzw8uW4XbZI2Pj5pvtBVsivUgjZBERkQygEbKIiEgGUCCLiIhkAAWyiIhIBlAgi4iIZAAFsoiISAZQIIuIiGQABbKIiEgGUCCLiIhkAAWyiIhIBlAgi4iIZAAFsoiISAZQIIuIiGQABbKIiEgGUCCLiIhkAAWyiIhIBlAgi4iIZAAFsoiISAZQIIuIiGQABbKIiEgGUCCLiIhkAAWyiIhIBlAgi4iIZAAFsoiISAZQIIuIiGQABbKIiEgGUCCLiIhkAAWyiIhIBvh/hV+IDSrFVz8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=90, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's filter these stations a step further to include only those stations that have around 30 years of daily streamflow data with drainage area of larger than 10 km$^2$ that have been impacted by human activities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "321"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sites = sites[\n",
    "    (sites.parm_cd == \"00060\")  # discharge\n",
    "    & (sites.stat_cd == \"00003\")  # mean\n",
    "    & (sites.count_nu >= 30 * 365)  # at least 30 years of data\n",
    "    & ~sites.hcdn_2009  # not pristine\n",
    "    & (sites.nhd_areasqkm > 10)\n",
    "].copy()\n",
    "sites.shape[0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Upon applying this filter, we're left with 280 stations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=90, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Dams\n",
    "\n",
    "Next, we need to retrieve the dams in Texas that have been built between 1995 and 2005. We use National Inventory of Dams (NID) web service for this purpose. First, let's check out the fields that NID exposes through their web service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55                yearCompleted\n",
       "56              yearCompletedId\n",
       "57                yearsModified\n",
       "176        hydroApprovedIdfYear\n",
       "181    hydroOrigIdfApprovedYear\n",
       "186        hydroPmfApprovedYear\n",
       "192           hydroOtAepDevYear\n",
       "198            hydroTopInfoYear\n",
       "256     dsoPiExtensionTenYearId\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nid = NID()\n",
    "nid.valid_fields[nid.valid_fields.str.contains(\"year\", case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16                stateFedId\n",
       "19                     state\n",
       "21               countyState\n",
       "27          stateRegulatedId\n",
       "29     stateRegulatoryAgency\n",
       "91                 cityState\n",
       "249                 stateKey\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nid.valid_fields[nid.valid_fields.str.contains(\"state\", case=False)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Based on these, we should use the ``stateKey`` and ``yearCompleted`` fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dam_list = nid.get_byfilter(\n",
    "    [\n",
    "        {\n",
    "            \"stateKey\": [\"TX\"],\n",
    "            \"yearCompleted\": [\"[1995 2005]\"],\n",
    "        },\n",
    "    ],\n",
    ")\n",
    "dams = dam_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=110, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "dams.plot(ax=ax, marker=\"o\", markersize=20, color=\"g\", edgecolor=\"k\", label=\"NID dams\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "As is evident from the plot above, there are many stations that don't have any dams in their vicinity. One way to eliminate these stations is using a spatial query based on a search radius. We can determine an estimation for our search radius based on the upstream drainage area distribution of the streamflow gauges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sites.hist(\"nhd_areasqkm\", figsize=(4, 2.5), bins=\"auto\")\n",
    "_ = ax[0][0].set_title(\"Drainage Area (km$^2$) Histogram\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can see that most stations have a drainage area of less than 15000 km$^2$. Since they're not very large a search radius of 10 km should be sufficient. Now, we define a function that carries out an efficient spatial query to find the stations that have at least one dam within a 10-km radius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def distance_filter(gdf1, gdf2, dist_km):\n",
    "    \"\"\"Filter gdf1 to only include points within distance of gdf2.\"\"\"\n",
    "    buff = gdf1.to_crs(5070).buffer(dist_km * 1e3)\n",
    "    idx2, idx1 = buff.sindex.query(gdf2.to_crs(5070).geometry)\n",
    "    return gdf1.iloc[pd.unique(idx1)].reset_index(drop=True), gdf2.iloc[\n",
    "        pd.unique(idx2)\n",
    "    ].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sites, dams = distance_filter(sites, dams, 10)\n",
    "\n",
    "ax = sites.hist(\"nhd_areasqkm\", figsize=(4, 2.5), bins=\"auto\")\n",
    "_ = ax[0][0].set_title(\"Drainage Area (km$^2$) Histogram\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=110, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "dams.plot(ax=ax, marker=\"o\", markersize=20, color=\"g\", edgecolor=\"k\", label=\"NID dams\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Flowlines and Hydrolinking\n",
    "\n",
    "So far, we obtained only the stations that have at least one dam in their 10-km radius, but we didn't find if those dams are in their upstream or downstream. We use the Hydro Network-Linked Data Index (NLDI) web service to obtain the upstream flowlines of the streamflow gauges up to 10 km. Note that this 10 km is the distance along the flowlines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "nldi = NLDI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_up = {}\n",
    "noflw = []\n",
    "for agency, fid in sites[[\"agency_cd\", \"site_no\"]].itertuples(index=False, name=None):\n",
    "    try:\n",
    "        flw_up[fid] = nldi.navigate_byid(\n",
    "            fsource=\"nwissite\",\n",
    "            fid=f\"{agency}-{fid}\",\n",
    "            navigation=\"upstreamTributaries\",\n",
    "            source=\"flowlines\",\n",
    "            distance=10,\n",
    "        )\n",
    "    except ZeroMatchedError:\n",
    "        noflw.append(fid)\n",
    "noflw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "sites = sites[sites.site_no.isin(flw_up)].copy()\n",
    "sites, dams = distance_filter(sites, dams, 10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We now have flowlines and dams that are closer than 10 km, but we still don't have a way of linking these features. For this purpose, we use NHDPlus's Common Identifier (`comid`). One way to obtain the first downstream flowline of coordinate is to use NLDI's `hydrolocation` endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "coords = list(dams[[\"longitude\", \"latitude\"]].astype(float).itertuples(index=False, name=None))\n",
    "nid_comids = nldi.feature_byloc(coords)\n",
    "dams[\"nhdplus_comid\"] = nid_comids.comid.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "coords = list(sites[[\"dec_long_va\", \"dec_lat_va\"]].astype(float).itertuples(index=False, name=None))\n",
    "site_comids = nldi.feature_byloc(coords)\n",
    "sites[\"nhdplus_comid\"] = site_comids.comid.values"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can then use these obtained comids to hydrolink the dams, stations, and flowlines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>usgs_id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>nhdplus_comid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.71624 33.23529, -97.71599 33.2...</td>\n",
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       "    <tr>\n",
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       "      <td>LINESTRING (-97.69438 33.24547, -97.69389 33.2...</td>\n",
       "      <td>1305591</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.69002 33.24999, -97.68994 33.2...</td>\n",
       "      <td>1305589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id                                           geometry nhdplus_comid\n",
       "0  08044000  LINESTRING (-97.69269 33.23604, -97.69307 33.2...       1305635\n",
       "1  08044000  LINESTRING (-97.69154 33.23755, -97.69228 33.2...       1305593\n",
       "2  08044000  LINESTRING (-97.71624 33.23529, -97.71599 33.2...       1305595\n",
       "3  08044000  LINESTRING (-97.69438 33.24547, -97.69389 33.2...       1305591\n",
       "4  08044000  LINESTRING (-97.69002 33.24999, -97.68994 33.2...       1305589"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_all = pd.concat(flw_up.values(), keys=flw_up.keys()).reset_index().drop(columns=\"level_1\")\n",
    "flw_all = gpd.GeoDataFrame(\n",
    "    flw_all.rename(columns={\"level_0\": \"usgs_id\"}), crs=flw_up[\"07312200\"].crs\n",
    ")\n",
    "flw_all.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Finally, upon hydrolinking these features we can determine the stations that have at least one dam in their upstream up to 10 km."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>usgs_id</th>\n",
       "      <th>nhdplus_comid</th>\n",
       "      <th>dam_id</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>08057445</td>\n",
       "      <td>1260363</td>\n",
       "      <td>TX09216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07312200</td>\n",
       "      <td>13730353</td>\n",
       "      <td>TX07042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>07312110</td>\n",
       "      <td>13734222</td>\n",
       "      <td>TX07025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>08177300</td>\n",
       "      <td>1638809</td>\n",
       "      <td>TX07200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id nhdplus_comid   dam_id\n",
       "0  08178700      10839872  TX07211\n",
       "1  08158920       5781345  TX07223\n",
       "2  08158920       5781345  TX07494\n",
       "3  08095000       5531532  TX07074\n",
       "4  08095000       5531532  TX07061\n",
       "5  08057445       1260363  TX09216\n",
       "6  07312200      13730353  TX07042\n",
       "7  07312110      13734222  TX07025\n",
       "8  08177300       1638809  TX07200"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_dam = pd.merge(\n",
    "    flw_all[[\"usgs_id\", \"nhdplus_comid\"]],\n",
    "    dams[[\"federalId\", \"nhdplus_comid\"]].rename(columns={\"federalId\": \"dam_id\"}),\n",
    "    on=\"nhdplus_comid\",\n",
    "    how=\"left\",\n",
    ")\n",
    "flw_dam = flw_dam[~flw_dam.dam_id.isna()].reset_index(drop=True)\n",
    "flw_dam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['08178700', '08158920', '08095000', '08057445', '07312200',\n",
       "       '07312110', '08177300'], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_dam = flw_dam.usgs_id.unique()\n",
    "site_dam"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Streamflow Observations\n",
    "\n",
    "Upon finalizing the stations that satisfy our criteria, we use NWIS to obtain the daily streamflow data. But first, we need to obtain the year that the construction of dams were completed, so we can exactly specify the required streamflow data period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "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>associatedStructuresCount</th>\n",
       "      <th>conditionAssessDate</th>\n",
       "      <th>conditionAssessDetail</th>\n",
       "      <th>conditionAssessId</th>\n",
       "      <th>damHeight</th>\n",
       "      <th>damLength</th>\n",
       "      <th>distance</th>\n",
       "      <th>drainageArea</th>\n",
       "      <th>eapId</th>\n",
       "      <th>dsacAssignedDate</th>\n",
       "      <th>...</th>\n",
       "      <th>lastEapExcerDate</th>\n",
       "      <th>dataUpdated</th>\n",
       "      <th>usaceDistrict</th>\n",
       "      <th>noConsequencesId</th>\n",
       "      <th>secretaryAgricultureBuiltId</th>\n",
       "      <th>nrcsWatershedAuthorizationId</th>\n",
       "      <th>isAssociatedStructureId</th>\n",
       "      <th>fedRegulatedId</th>\n",
       "      <th>inundationNidAddedId</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>544499</th>\n",
       "      <td>0</td>\n",
       "      <td>2014-06-18T12:00:00.000Z</td>\n",
       "      <td>NOT RATED</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.13</td>\n",
       "      <td>3</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>2024-09-10T12:00:00.000Z</td>\n",
       "      <td>Fort Worth District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (-97.3783 28.7772)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544213</th>\n",
       "      <td>0</td>\n",
       "      <td>2020-09-30T12:00:00.000Z</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>1300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>2024-09-10T12:00:00.000Z</td>\n",
       "      <td>Fort Worth District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (-97.60174 31.78104)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543855</th>\n",
       "      <td>0</td>\n",
       "      <td>2014-06-18T12:00:00.000Z</td>\n",
       "      <td>NOT RATED</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>3</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>2024-09-10T12:00:00.000Z</td>\n",
       "      <td>Fort Worth District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (-98.91696 33.92299)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542221</th>\n",
       "      <td>0</td>\n",
       "      <td>2024-03-20T12:00:00.000Z</td>\n",
       "      <td>POOR</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>2024-09-10T12:00:00.000Z</td>\n",
       "      <td>Galveston District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (-97.89934 30.24614)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542209</th>\n",
       "      <td>0</td>\n",
       "      <td>2021-04-30T12:00:00.000Z</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>2</td>\n",
       "      <td>49</td>\n",
       "      <td>6615</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.72</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>2024-09-10T12:00:00.000Z</td>\n",
       "      <td>Galveston District</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (-98.45066 29.55025)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 98 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        associatedStructuresCount       conditionAssessDate  \\\n",
       "id                                                            \n",
       "544499                          0  2014-06-18T12:00:00.000Z   \n",
       "544213                          0  2020-09-30T12:00:00.000Z   \n",
       "543855                          0  2014-06-18T12:00:00.000Z   \n",
       "542221                          0  2024-03-20T12:00:00.000Z   \n",
       "542209                          0  2021-04-30T12:00:00.000Z   \n",
       "\n",
       "       conditionAssessDetail  conditionAssessId  damHeight  damLength  \\\n",
       "id                                                                      \n",
       "544499             NOT RATED                  5         22          0   \n",
       "544213          SATISFACTORY                  1         47       1300   \n",
       "543855             NOT RATED                  5         27          0   \n",
       "542221                  POOR                  5         26        730   \n",
       "542209          SATISFACTORY                  2         49       6615   \n",
       "\n",
       "        distance  drainageArea  eapId dsacAssignedDate  ... lastEapExcerDate  \\\n",
       "id                                                      ...                    \n",
       "544499       NaN          1.13      3             None  ...             None   \n",
       "544213       NaN          0.36      1             None  ...             None   \n",
       "543855       NaN          0.20      3             None  ...             None   \n",
       "542221       0.0          1.34      1             None  ...             None   \n",
       "542209       0.0         16.72      1             None  ...             None   \n",
       "\n",
       "                     dataUpdated        usaceDistrict  noConsequencesId  \\\n",
       "id                                                                        \n",
       "544499  2024-09-10T12:00:00.000Z  Fort Worth District                 0   \n",
       "544213  2024-09-10T12:00:00.000Z  Fort Worth District                 0   \n",
       "543855  2024-09-10T12:00:00.000Z  Fort Worth District                 0   \n",
       "542221  2024-09-10T12:00:00.000Z   Galveston District                 0   \n",
       "542209  2024-09-10T12:00:00.000Z   Galveston District                 0   \n",
       "\n",
       "       secretaryAgricultureBuiltId nrcsWatershedAuthorizationId  \\\n",
       "id                                                                \n",
       "544499                           0                            5   \n",
       "544213                           0                            5   \n",
       "543855                           0                            5   \n",
       "542221                           0                            5   \n",
       "542209                           1                            3   \n",
       "\n",
       "        isAssociatedStructureId  fedRegulatedId  inundationNidAddedId  \\\n",
       "id                                                                      \n",
       "544499                       No              No                     0   \n",
       "544213                       No              No                     0   \n",
       "543855                       No              No                     0   \n",
       "542221                       No              No                     0   \n",
       "542209                       No              No                     0   \n",
       "\n",
       "                          geometry  \n",
       "id                                  \n",
       "544499    POINT (-97.3783 28.7772)  \n",
       "544213  POINT (-97.60174 31.78104)  \n",
       "543855  POINT (-98.91696 33.92299)  \n",
       "542221  POINT (-97.89934 30.24614)  \n",
       "542209  POINT (-98.45066 29.55025)  \n",
       "\n",
       "[5 rows x 98 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dams_info = nid.inventory_byid(flw_dam.dam_id.to_list())\n",
    "dams_info.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We use the `yearCompleted` field to determine the required study period by looking at 15 years before and after the year completed for each dam. The reason that we opted for 15 years is the fact that during the construction the streamflow is temporarily diverted from its original path and also upon completion it usually takes some time for dams to be filled and reach their operational capacity. So we consider a 5-year buffer around the year completed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>usgs_id</th>\n",
       "      <th>nhdplus_comid</th>\n",
       "      <th>dam_id</th>\n",
       "      <th>nidStorage</th>\n",
       "      <th>nidHeight</th>\n",
       "      <th>yearCompleted</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>08178700</td>\n",
       "      <td>10839872</td>\n",
       "      <td>TX07211</td>\n",
       "      <td>8741.00</td>\n",
       "      <td>53</td>\n",
       "      <td>2004</td>\n",
       "      <td>1989-01-01</td>\n",
       "      <td>2019-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07223</td>\n",
       "      <td>156.31</td>\n",
       "      <td>26</td>\n",
       "      <td>1999</td>\n",
       "      <td>1984-01-01</td>\n",
       "      <td>2014-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07494</td>\n",
       "      <td>189.00</td>\n",
       "      <td>28</td>\n",
       "      <td>1996</td>\n",
       "      <td>1981-01-01</td>\n",
       "      <td>2011-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07074</td>\n",
       "      <td>731.00</td>\n",
       "      <td>73</td>\n",
       "      <td>2000</td>\n",
       "      <td>1985-01-01</td>\n",
       "      <td>2015-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07061</td>\n",
       "      <td>410.00</td>\n",
       "      <td>23</td>\n",
       "      <td>1998</td>\n",
       "      <td>1983-01-01</td>\n",
       "      <td>2013-12-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id nhdplus_comid   dam_id  nidStorage  nidHeight  yearCompleted  \\\n",
       "0  08178700      10839872  TX07211     8741.00         53           2004   \n",
       "1  08158920       5781345  TX07223      156.31         26           1999   \n",
       "2  08158920       5781345  TX07494      189.00         28           1996   \n",
       "3  08095000       5531532  TX07074      731.00         73           2000   \n",
       "4  08095000       5531532  TX07061      410.00         23           1998   \n",
       "\n",
       "       start        end  \n",
       "0 1989-01-01 2019-12-31  \n",
       "1 1984-01-01 2014-12-31  \n",
       "2 1981-01-01 2011-12-31  \n",
       "3 1985-01-01 2015-12-31  \n",
       "4 1983-01-01 2013-12-31  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_dam = pd.merge(\n",
    "    flw_dam,\n",
    "    dams_info[[\"federalId\", \"nidStorage\", \"nidHeight\", \"yearCompleted\"]].rename(\n",
    "        columns={\"federalId\": \"dam_id\"}\n",
    "    ),\n",
    "    on=\"dam_id\",\n",
    "    how=\"left\",\n",
    ")\n",
    "flw_dam[\"start\"] = pd.to_datetime(flw_dam.yearCompleted - 15, format=\"%Y\")\n",
    "flw_dam[\"end\"] = pd.to_datetime(flw_dam.yearCompleted + 15, format=\"%Y\") + pd.DateOffset(\n",
    "    years=1, days=-1\n",
    ")\n",
    "flw_dam.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We then use these dates to obtain the streamflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dates = (flw_dam.start.min(), flw_dam.end.max())\n",
    "qobs = nwis.get_streamflow(site_dam, dates)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's take a look at the data and assess the station by visual inspection. Note the there are several methods for quantifying the impact of dams on streamflow such as Reservoir Index, but in this tutorial we just rely on visual inspection for brevity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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f+Pn50a5duxLv6+OPP6Zx48bY2NjQpk0bfv/9d+PrOp2OJ554gkaNGmFjY0NwcDDz5s0rdozx48dz//338+mnn+Lt7Y2rqytTp06lsLCwzD5evHiR4cOH4+npib29PZ06dWLz5s3F2gQGBvLBBx8wceJEHBwc8Pf359tvvzW+Hh0djUql4o8//qBv377Y2trSpk0b9u3bZ2wzY8YM2rZtW+y4n3/+OYGBgcavw8LCGDBgAG5ubjg5OdG7d2+OHDlS9gW+wfjx43nuueeIiYlBpVIVO/b10tLSGDduHA0aNMDW1pbBgwdz/vx5wPD/4O7uzqpVq4zt27Zti4eHh/Hrffv2YWFhQXZ2dqnHP3LkCBcuXGDo0KHFtl++fJlHHnkEFxcX7Ozs6NixIwcOHAD+uz6LFy/G398fe3t7Jk+ejE6n4+OPP8bLywsPDw9mzZpV7JgzZszA398fKysrfHx8+N///md8Ta1WM2TIEH755ZdyX8PbYZLrrMyePZs33niDadOm8fnnn9d0d8QdSM3RsGzfJePXC3dcpEeQWw32SAghhChbXqGOkHeq9k5xWSL+byC2lhX7aDZhwgR++OEHHn30UQAWL17MxIkT2b59e7F2b731Fn/88QcLFiygadOm7Ny5k7Fjx+Lu7k7v3r3R6/U0bNiQX3/9FTc3N/bu3ctTTz2Ft7c3Dz/8sPE427Ztw9vbm23btnHhwgVGjRpF27ZtmTRpUqn9y87OZsiQIbz//vtYW1uzdOlShg0bxtmzZ4uN/nz22We89957vPHGG/z+++9MnjyZXr160bx5c2ObN998k08//ZSmTZvy5ptvMnr0aC5cuFDu0Y2srCwef/xxvvjiC+M5hwwZwvnz53FwcLjl/vPmzaNJkyZ8++23hIWFoVarS203fvx4zp8/z99//42joyOvvvoqQ4YMISIiAgsLC3r16sX27dt58MEHSUtLIyIiAjs7OyIiIggJCWH79u106NABe3v7Uo+/c+dOmjVrhqOjY7Hr3Lt3b3x9ffn777/x8vLiyJEjxaZoXbx4kXXr1rF+/XouXrzIQw89RFRUFM2aNWPHjh3s3buXiRMn0q9fP7p27crvv//O3LlzWbFiBaGhoSQmJnL8+PFifencuTMff/zxLa/dnTC5YCUsLIxvv/2W1q1b13RXRCVYvDuKXI2OQFdbYtPy2HU+mVNxGbT0darprgkhhBC13mOPPcbrr79uHH3Ys2cPK1asKBas5OTkMGfOHLZu3Uq3bt0AaNy4Mbt37+abb76hd+/eWFhYMHPmTOM+jRo1Yu/evfz666/FgpUGDRrw1VdfoVarad68OUOHDmXLli1lBitt2rShTZs2xq/ff/99Vq9ezd9//82zzz5r3D5kyBCmTJkCwKuvvsrcuXPZvn17sWDlpZdeMo4mzJw5k9DQUC5cuFCszc3cfffdxb7+5ptvaNCgATt27ODee++95f5OTk44ODigVqvx8vIqtU1RkLJnzx66d+8OwM8//4yfnx9//vknI0eOpE+fPsaRo507d9KmTRv8/f3Zvn27MVjp06dPmf2Ijo7Gx8en2Lbly5dz9epVwsLCcHFxASAoKKhYG71ez+LFi3FwcCAkJIS+ffty9uxZ1q5di5mZGcHBwXz00Uds376drl27EhMTg5eXF/3798fCwgJ/f386d+5c7Ji+vr7ExMSg1+urbL0ikwpWsrOzefTRR/nuu+94//33b9q2oKCAgoIC49eZmZlV3T1RQRm5hSzZGw3Aa4NbsPZkAn8fj+ebnZF8ObrdzXcWoi5Zvhxyc8HWFsaMqeneCCFuwsZCTcT/Dayxc1eUm5sbQ4cOZenSpSiKwtChQ3FzKz6DISIigvz8fAYMGFBsu0ajKTZdbOHChXz//fdcunSJvLw8NBpNialVoaGhxUYUvL29OXnyZJn9y8nJYebMmaxZs4b4+Hi0Wi15eXnExMQUa3f9TWqVSoWXlxdJSUlltvH29gYgKSmp3MFKUlIS77zzDlu3buXKlSvodDpyc3NL9OVOnD59GnNzc7p06WLc5urqSnBwMKdPnwagT58+TJs2jeTkZHbs2EGfPn3w9/dnx44dPPXUU+zdu/em1cXy8vJKrAZ/7Ngx2rVrZwxUShMYGFhsBMnT0xO1Wl0syPD09DRe95EjR/L555/TuHFjBg0axJAhQxg2bFixkSwbGxv0ej0FBQXY2NiU7yJVkEkFK1OnTmXo0KH079//lsHK7Nmzi90BEKbnh71RZBdoCfZ04J4QT/xcbPj7eDz/nojnlYHB+LnY1nQXhager7wCcXHg6yvBihAmTqVSVXgqVk2bOHGicZTi66+/LvF60VSgf//9F19f32KvWVlZAfDrr7/ywgsv8Nlnn9GtWzccHBz45JNPjDkPRSwsLIp9rVKpbloN6uWXX2bDhg18+umnBAUFYWNjw0MPPYRGo6nwca9vo1Kpir03MzOzEjk/N+bSjB8/nqtXr/L5558TEBCAlZUV3bp1K9GXO1FW3pGiKMY+t2zZEldXV3bs2MGOHTv4v//7P/z8/Jg1axZhYWHk5eVx1113lXkONze3EgFieQKF0q7xza67n58fZ8+eZdOmTWzevJkpU6bwySefsGPHDuN+qamp2NraVlmgAiaUYL9ixQqOHDnC7Nmzy9X+9ddfJyMjw/iIjY2t4h6KisjKL2Tx7igAnusXhJmZilAfJ3o2dUOvGJLuhRBCCHHnBg0ahEajQaPRMHBgyVGhkJAQrKysiImJISgoqNjDz88PgF27dtG9e3emTJlCu3btCAoK4uLFi3fct127djF+/HgeeOABWrVqhZeXF9HR0Xd83Bu5u7uTmJhYLFg4duxYib7873//Y8iQIYSGhmJlZUVycnKl9iMkJAStVlssyEtJSeHcuXO0aNECMAQEvXr14q+//uLUqVP07NmTVq1aUVhYyMKFC2nfvv1Nc2jatWvHmTNnir3X1q1bc+zYMVJTUyv1/djY2HDffffxxRdfsH37dvbt21csUDp16hTt27ev1HPeyCSCldjYWKZNm8ZPP/1UYlirLFZWVjg6OhZ7CNPx475LZOZraeJux+CW3sbtk3s3AeDXQ7GkZBeUtbsQQgghykmtVnP69GlOnz5datK3g4MDL730Ei+88AJLly7l4sWLHD16lK+//pqlS5cChvyGQ4cOsWHDBs6dO8fbb79NWFjYHfctKCiIP/74g2PHjnH8+HHGjBlTJety9OnTh6tXr/Lxxx9z8eJFvv76a9atW1eiL8uWLeP06dMcOHCARx99tNJHBJo2bcrw4cOZNGkSu3fv5vjx44wdOxZfX1+GDx9erL/Lly+ndevWODo6GgOYn3/++ab5KgB9+/YlJyeH8PBw47bRo0fj5eXF/fffz549e4iMjGTVqlXFKqZV1JIlS1i0aBGnTp0iMjKSZcuWYWNjQ0BAgLHNrl27uOeee277HOVhEsHK4cOHSUpKokOHDpibm2Nubs6OHTv44osvMDc3R6fT1XQXRQVkF2iNIyfP3d0UtZnK+Fq3Jq608nUiv1DP0uuqhAkhhBCi4nR6hbQcDXb2Dje9cfvee+/xzjvvMHv2bFq0aMHAgQP5559/aNSoEQDPPPMMI0aMYNSoUXTp0oWUlBRjwvudmDt3Lg0aNKB79+4MGzaMgQMHVsmd+BYtWjB//ny+/vpr2rRpw8GDB3nppZeKtVm8eDFpaWm0a9eOxx57jP/973/FSgZXlh9++IEOHTpw77330q1bNxRFYe3atcWmXPXt2xedTlcsMOnduzc6nY7evXvf9Piurq6MGDGCn3/+2bjN0tKSjRs34uHhwZAhQ2jVqhUffvhhmRXLysPZ2ZnvvvuOHj160Lp1a7Zs2cI///yDq6srAHFxcezdu5cJEybc9jnKQ6WYwCp9WVlZXLpU/IPrhAkTaN68Oa+++mq5VgfNzMzEycmJjIwMGWWpYQt3XOTDdWdo5GbHphd6Ya4uHhP/eyKBqcuP4Gxrwd7X7q51c4OFqLCGDf/LWbl8uaZ7I4S4Jj8/n6ioKBo1alTumR2mJjY1l7RcDR4O1ng51c73ICru5MmT9O/fnwsXLpSr7HJVePnll8nIyCi2Js6NbvYzVt7P7ibxKdHBwaFEQGJnZ4erq2u5AhVhOvI0Or7baRhVmdKnSYlABWBQSy8CXG25lJLLyrBYJvRoVN3dFEIIIWq9Qp2e9DxDEnl2gbaGeyOqU6tWrfj444+Jjo6mVatWNdIHDw+PEqNXVcEkpoGJuuPnA5dIydHg52LD/e18S22jNlMxqWdjAL7fFUWhrvLnrgohhBB1XUp2gTHJOq9Qh15f45NlRDV6/PHHayxQAcPIiqenZ5Wfx2SDle3bt8vq9bVMfqGOb4yjKkFYlDKqUuShDg1xs7ckLj2PNSfiq6uLQgghRJ2g0yuk5BhK7qowlMbN1UiOr6h7TDZYEbXPyrBYrmYV4ONkzYPtG960rbWFmvHdAwH4ZkdkmXXJhRBCCFFSWq4GnV7BylyNo40hcTtHI1PBRN0jwYqoFAVaHQt3GOqxT+4bhKX5rb+1HusaiJ2lmjOJWWw/d7WquyhEzfHyMiTXe3nVdE+EEHWAoigkXyv/72ZviZ2VIQU5R/JWRB0kwYqoFL8fvkxCRj6ejlaM7HDzUZUiTrYWjO7sD8A3O+584SkhTNahQ4YqYIcO1XRPhBB1QEZeIRqtHnMzFQ1sLbG7VlUzV6OTmQqizpFgRdyxQp2e+dsMwcYzvZtgbVH+mt4T72qEuZmK/ZGpHItNr6IeCiGEEHWDYVTFkKviYmeFmZkKawsz1CoVekUhv1DyVkTdIsGKuGOrj8QRl56Hm72VcaSkvHycbRje1lA1bOF2GV0RQgghbiZXoyNXo0WlUuFqbwmASqXCtmgqmCTZizpGghVxR7Q6PV9tuwDA070aV2hUpcjTvQ1ljDdEJBJ5NbtS+yeEEELUJVezDLkqDWwtilXdtLM0/P2VvBVR10iwIu7I38fjiUnNxcXOkke7VmxUpUgzTwf6NfdAUeC7XZGV3EMhTMDTT8PIkYZnIYS4TQWFOjLzDYtAutlbFXvN7rqRFclbMW3R0dGoVCqOHTtWI+fv06cPzz//fI2c+3ZIsCJum06v8NVWw6jKkz0bYXstwe92PNOnCQCrDseRlJVfKf0TwmT8+y/8/rvhWQghblNRBTBHawuemfQEKpUKlUqFhYUFjf19eXrMA/z284/k10AJ4/feew9vb29SU1OLbT9+/DiWlpb89ddf1dqfxMREnnvuORo3boyVlRV+fn4MGzaMLVu2VGs/KkttCzAqkwQr4ratORFPZHIOzrYWjOsWeEfH6hjQgPb+zmh0en7YE10p/RNCCCHqCq1OT1pu8VGVQYMGkZCQQHR0NOvWraP7Xb34eMbr3HffMLTa6g1YXn/9dfz8/Jg6dapxW2FhIePHj2fMmDEMHz680s+p0WhK3R4dHU2HDh3YunUrH3/8MSdPnmT9+vX07du3WP9E7SDBirgt+utGVSb2aIS91e2PqoAhOfCZ3obRlZ/2XyLr2jC3EEIIISAlR4NeUbCxUGNnZchPsbKywsvLC19fX9q3b89Lr77G54t+ZvPGDSxZssS475w5c2jVqhV2dnb4+fkxZcoUsrP/yxFdsmQJzs7OrFmzhuDgYGxtbXnooYfIyclh6dKlBAYG0qBBA5577jl0utIT+M3Nzfnxxx/566+/+P333wGYNWsWqampfPHFF2RkZPDUU0/h4eGBo6Mjd999N8ePHzfuf/HiRYYPH46npyf29vZ06tSJzZs3FztHYGAg77//PuPHj8fJyYlJkyaV2pcpU6agUqk4ePAgDz30EM2aNSM0NJTp06ezf/9+Y7uYmBiGDx+Ovb09jo6OPPzww1y5csX4+owZM2jbti2LFy/G398fe3t7Jk+ejE6n4+OPP8bLywsPDw9mzZpV7PwqlYoFCxYwePBgbGxsaNSoEb/99tvN/nuJiIhgyJAh2Nvb4+npyWOPPUZycjIA48ePZ8eOHcybN884mhYdHX3L/QBycnIYN24c9vb2eHt789lnn920H6ZIghVxW9aHJ3I+KRsHa3Mev7YS/Z3q38KTJu52ZOVr+eVgTKUcUwghhLgtc+ZAw4a3ftx3X8l977uvfPvOmVOuruj1CinXyhW7O1ihUqlKbWdnaU6XHr1oHtqKP/74w7jdzMyML774glOnTrF06VK2bt3KK6+8Umzf3NxcvvjiC1asWMH69evZvn07I0aMYO3ataxdu5Zly5bx7bffGgOR0jRv3pwPPviAyZMns2HDBmbPns0PP/yAg4MDQ4cOJTExkbVr13L48GHat29Pv379jNPGsrOzGTJkCJs3b+bo0aMMHDiQYcOGERNT/PPAJ598QsuWLTl8+DBvv/12iT6kpqayfv16pk6dip2dXYnXnZ2dAUMJ6Pvvv5/U1FR27NjBpk2buHjxIqNGjSrW/uLFi6xbt47169fzyy+/sHjxYoYOHcrly5fZsWMHH330EW+99VaxIAjg7bff5sEHH+T48eOMHTuW0aNHc/r06VKvW0JCAr1796Zt27YcOnSI9evXc+XKFR5++GEA5s2bR7du3Zg0aRIJCQkkJCTg5+d3y/0AXn75ZbZt28bq1avZuHEj27dv5/Dhw2X+H5okpY7IyMhQACUjI6Omu1Ln6XR6ZeDcHUrAq2uUzzacqdRjrzwYowS8ukbpPGuTkl+ordRjC1FjfH0VBQzPQgiTkZeXp0RERCh5eXklX3z3XcPP7a0eXbuW3Ldr1/Lt++675epncna+cjw2TTkdn6Ho9HpFURTl8ccfV4YPH16sXaFWpxyPTVMGDntAad6iRZnH+/XXXxVXV1fj1z/88IMCKBcuXDBue/rppxVbW1slKyvLuG3gwIHK008/fdO+6vV6pU+fPoqZmZkybdo0RVEUZcuWLYqjo6OSn59frG2TJk2Ub775psxjhYSEKF9++aXx64CAAOX++++/6fkPHDigAMoff/xx03YbN25U1Gq1EhMTY9wWHh6uAMrBgwcVRVGUd999V7G1tVUyMzONbQYOHKgEBgYqOp3OuC04OFiZPXu28WtAeeaZZ4qdr0uXLsrkyZMVRVGUqKgoBVCOHj2qKIqivP3228o999xTrH1sbKwCKGfPnlUURVF69+5tvJ5FbrVfVlaWYmlpqaxYscL4ekpKimJjY1PiWFXlZj9j5f3sfmdzd0S9tPn0Fc4kZmFnqWbiXY0q9djD2/nw2aazXMks4K+j8Tzcya9Sjy+EEEKUi6Mj+Preup27e+nbyrOvo+MtmyiKQnKWYVTF1d4KszJGVQDM1WZYW6i5sRjYtm3b+OCDD4iIiCAzMxOtVkt+fj45OTnG0QdbW1uaNGli3MfT05PAwEDs7e2LbUtKSrppf1UqFW+++Sbbt2/nrbfeAuDw4cNkZ2fj6uparG1eXh4XLxrWWMvJyWHmzJmsWbOG+Ph4tFoteXl5JUZWOnbseNPzK9fefFmjT0VOnz6Nn58ffn7/fc4ICQnB2dmZ06dP06lTJ8Aw9czBwcHYxtPTE7VajZmZWbFtN16Xbt26lfi6rOpfhw8fZtu2bcWudZGLFy/SrFmz29ovLy8PjUZTrC8uLi4EBweXejxTJcGKqBBFUfjyWq7K490Dcba1rNTjW5mrmdijEbPXneGbnRd5qENDzMxu/gtHCCGEqHTTpxset+PvvyutG1n5Wgq0OtQqFS52Frdsb2epJurCWfz9AwC4dOkSQ4YM4ZlnnuG9997DxcWF3bt388QTT1BY+F9+qIVF8WMXVRm7cZter79lH8zNzYs96/V6vL292b59e4m2RdOyXn75ZTZs2MCnn35KUFAQNjY2PPTQQyWS6Eub2nW9pk2bolKpOH36NPfff3+Z7RRFKTWguXF7ZV6XsgIovV7PsGHD+Oijj0q85u3tXebxbrXf+fPnb9mn2kByVkSFbD97lZNxGdhYqHmikkdViozp4o+DtTkXr+aw+fSVW+8ghKhWpxMymfLzYf7vnwh0elnPQYiqdPVauWIXe0vUZrf+2HZ43y7On4mg/xBDLs2hQ4fQarV89tlndO3alWbNmhEfH1+lfb5R+/btSUxMxNzcnKCgoGIPNzc3AHbt2sX48eN54IEHaNWqFV5eXsYk8opwcXFh4MCBfP311+Tk5JR4PT09HTCMosTExBAbG2t8LSIigoyMDFq0aHFb7/N6N+aw7N+/n+bNm5fatn379oSHhxMYGFji+hQFZ5aWliWKG9xqv6CgICwsLIr1JS0tjXPnzt3x+6tOEqyIclMUhXlbDFH6Y90CcL1hQarK4mBtwdiuhjtC3+yURSKFKLLuZALrTyXUWICQlJXPa6tOMPSLXaw9mcjiPVHM/CdcFqAToorkarTkFGhRocLVruTf3IKCAhITE4mLi+PIkSN88MEHPDrqIXr1H8ig+0eh0ys0adIErVbLl19+SWRkJMuWLWPhwoXV+j769+9Pt27duP/++9mwYQPR0dHs3buXt956i0OHDgEQFBTEH3/8wbFjxzh+/Dhjxowp12hFaebPn49Op6Nz586sWrWK8+fPc/r0ab744gvjlKj+/fvTunVrHn30UY4cOcLBgwcZN24cvXv3vuVUs/L47bffWLx4MefOnePdd9/l4MGDPPvss6W2nTp1KqmpqYwePZqDBw8SGRnJxo0bmThxojFACQwM5MCBA0RHR5OcnIxer7/lfvb29jzxxBO8/PLLbNmyhVOnTjF+/PhiU9hqg9rVW1Gjdl9I5lhsOlbmZjzZs2pGVYpM6B6IpdqMw5fSCItOvfUOQpiy0aPhiScMz7dBURTmbDzL5J+P8MxPRxgwZwerDl9Gq7u9P+QVlV+o4+ttF+j7yXZWhMWiV6BHkCsqFfy47xLzt1+sln4IUd8U5ao42VpgaV7yI9v69evx9vYmMDCQQYMGsW3bNr744gsWLFmBmdqMXI2Wtm3bMmfOHD766CNatmzJzz//zOzZs6v1fahUKtauXUuvXr2YOHEizZo145FHHiE6OhpPT08A5s6dS4MGDejevTvDhg1j4MCBtG/f/rbO16hRI44cOULfvn158cUXadmyJQMGDGDLli0sWLDA2Kc///yTBg0a0KtXL/r370/jxo1ZuXJlpbznmTNnsmLFClq3bs3SpUv5+eefCQkJKbWtj48Pe/bsQafTMXDgQFq2bMm0adNwcnIyBhYvvfQSarWakJAQ3N3diYmJKdd+n3zyCb169eK+++6jf//+3HXXXXTo0KFS3mN1USl15JZYZmYmTk5OZGRk4FiOhDVRMYqi8PA3+wiLTmNCj0DeHRZa5ed8/Y8T/HIwln7NPVg0vlOVn08IU6QoCp9uPMvX2wwBgYOVOVkFhsXe/F1smdq3CQ+0a1jqB5nKOPc/JxL4aN0Z4tLzAGjd0Im37w2hU6ALP+yJYuY/EQB88lBrRnaUghiidsnPzycqKopGjRphbW1d090pRqPVczYxCwWFph722FiWP804JjWX9FwNHo7WeDma1vuqD1QqFatXr75pzkx9cbOfsfJ+dpeRFVEu+yNTCYtOw9LczLh4Y1Wb1LMxKhVsOZPEuStZ1XJOIUyJoih8uP6MMVB5a2gL9r3Rj9cGN8fVzpKY1FxeXXWSvp9uZ9n+SxRoS1+s7XYcjUnjwQV7+d8vR4lLz8PbyZq5o9rw55QedAp0AWBCj0bG3wev/XGSbWdvXiVICFF+ydkFKCjYW5lXKFABQ5I9QG5B9a5iL0RVkGClkqVkF5BfWHkfGEzFF9dyVUZ19MOzmu7SNHa3Z2CIFwDf7JDcFVG/KIrCrH9PG7/3ZwwL4cmejbG3MueZ3k3Y9Wpf3hraAncHK+LS83j7z1P0/ng7P+yJuqPfQXHpeUxbcZQH5u/lSEw6NhZqpg9oxtYX+/BAu5LV+V4dFMyIdr7o9ApTfjrCsdj0O3nbog7KKdDy4IK9PPr9/koNqOsynV5PWo5hCpibQ8XzQ+2sDMFNrkaHvm5MoBH1mAQrlSgqOYcH5u9l2oqjdapCTlh0KvsiU7BQq3imT/WMqhR5undjAP46FkdCRl61nluImqIoCv+3JoLvd0cB8N7wUMb3KJ4nZmtpzpM9G7Prlb7MGBaCl6M1iZn5zPwngrs+2sZ3OyPJ1ZT/rmpOgZZPN5zl7k+389exeFQqeKhDQ7a/3If/9WuKzbU7tTdSqVR89FBrejVzJ69Qx8QlYURezb79Ny/qnPf/jeDwpTT2XEhhgeQ3lUtqjgadomBtrsbBquKrTFiZm6E2U6FXlDp5A9XUKYoiU8AqkQQrlSgpM5/EjHw2hF/hvTURdaZCTtGoykMdGuLrbFOt527n34AujVzQ6hUW7Yqq1nMLUWmaNzcs/lZG2crrKYrCu3+H88OeaAA+eKAVj3ULLLO9tYWa8T0aseOVPrx/f0t8nW1Izi5g1trT3PXRNuZvv0D2TaaC6PQKv4bF0ufT7Xy17QIFWj1dGrnwz7N38enINuUaSbVQm7Hg0fa08nUiNUfD4z8cJCkr/5b7ibpvy+kr/HLwv9KwX2+7wHmZ1ntTekUhOfu/UZVbLW5YGpVKhd21qWM5BRKsiNpNgpVK1KWxK3NGtQFgyd5ovq0DZXePxqSx63wyajMVU/oE1UgfikZzfjkYQ0Zu4S1aV49jsenM/CecvReS0dehUTRRRbKzISvL8HwTer3CW3+e4sd9l1Cp4KMHWzGmi3+5TmFlrmZs1wC2vdSHjx5shb+LLak5Gj5ef5a7PtrKF1vOk5FX/Odn78Vkhn25m1dWneBqVgEBrrYsHNuBFU91paWvU4Xeop2VOYvHdyLA1ZbY1Dwm/BBGVr5p/LyKmpGSXcCrq04C8MRdjejX3INCncKrq06Y3OwDU7q5mJFXSKFOj7mZGc62t14Esiy2VobR0BzJWxE1qDJ+tiRYqWT3tvbhraGGxYRmrzvDX8fiarhHty85u4DXrv2heaCdL34utjXSjz7N3Gnu5UCORsdPBy7VSB+uFxGfydjvD/DDnmjGfH+Auz/bzsIdF0m+tnCXELdDr1d4Y/VJfj4Qg0oFHz/YmlGdyheoXM/S3IxRnfzZ+mJvPhvZhsZudqTnFjJn0znu+mgrczae5XhsOpN+PMSY7w4QkZCJg7U5bw1twaYXejOopddt3ckFcHew4seJnXG1syQ8PpPJPx1Bo62e8srCtCiKwpurT5GcXUBTD3teHhjMe/e3xN7KnCMx6fy0v+Z/l8N/q5Pn5ubWcE8MFEUhOcvwt8TN3hKz2/xZBIwjK7kanUkFY6J+KfrZKvpZux1SuriKvLcmgkW7o7BQq1g6sTPdm7jVdJcqJCkrn0e/O8D5pGzcHaxYPaU7DRvUTLACsProZV5YeRw3e0t2v3o31halz5+varGpuTy4YC9JWQU0drfjamaBsYyshVrFPSFejO7sT/cmriUSkUXV0+sVkrIKiEnN5VJKDklZBViqzbC2MMPKQo21hRprczOsLdTYWKqxNldjbWH42uras7W5Ggu16rY/sJeqYUOIiwNfX7h8ucTLOr3hbvPvhy9jpoLPHm7DA+0aVsqpdXqFf08m8OWW85xPKj6yozZTMbaLP9P6N8PFzrJSzgdw4nI6j3y7n1yNjuFtfZj7cFv5eahnVh2+zIu/HcfcTMWfU3sYR+qW7Yvm7b/CsbNUs3F672qfWlyahIQE0tPT8fDwwNbWtnJ/9isop6CQy2l5qFQqGrvZYa6+/XvKekXhQlI2iqIQ6GqHVQ393RT1k6Io5ObmkpSUhLOzM97e3iXalPezuwQrVUSvV3jul6P8ezIBBytzfpvcjeZeNd+v8riSmc/o7/YTeTUHL0drlk/qQmN3+xrtU6FOT59PthOXnscjnfz44IFW1f7hJy1Hw4ML9xJ5NYfmXg6sfLobFmoVa44nsPxgTLEqSP4utjzS2Y+HOjTEw0Fq3Fem/EIdl9PyiEnN4VJKLjGpucSk5HIpNZfY1FwKKuFOvtpMZQxqrC3UhPg4Mr57IN2buN7eB5mbBCs6vcLLvx3nj6NxmKlg7qi2DG/re8fv4UZ6vcL68ES+2HKeM4lZ9A12582hLQjycKj0cwHsOHeVJ5aEodUrPNWrMW8MaVEl5xGmJy49j0Fzd5JVoOWle5rx7N1Nja/p9YY1uw5dSqNvsDuLx3eq0eAADB+qEhMTSU9Pr9F+gGFGQ36hHnsrNc62d34D4WpWAQVaPQ1sLYwVwoSoTs7Oznh5lT5iL8GKCcgv1DFu8UEORqXi5WjNH1O642MCd5FuJj49jzHf7Sc6JRdfZxuWT+pCgKtdTXcLgHUnE5i6/Ah6BR7u2JDZI1qjrqaAJU+jY8z3+zkak46PkzV/TOmBl1PxICQiPpMVYTGsPhJnHG0xN1MxIMST0Z39uSvITe4ul1NOgZbzSdnXApHrgpLUXBIz87nZby21mQofZ2sCXOzwcrJGp1fI0+jI1+rIL9SRX6gnv1BHgVZ/7Wsdede230qwpwMT7wpkeFvfio3ulRGsaHV6XvztOH8di0dtpmLeI225t7VP+Y97G/R6heScgmoJov84cpnpvx4HDGvEPNmzcZWfU9QsvV7h0e8PsC8yhXb+zvz2dLcSowMXkrIYMm83Gp2eeY9UTXB+O3Q6HYWFNZdnFZWcw5NLw0AFP07ojG8lzGZYvDuKnw9cYkCIJ68NlhsGonpZWFigVpf9t1KCFRORkVvIQwv3cj4pm2ae9vz2THecbG5/3l5VupyWy+jv9hObmkfDBjb8MqlrjeWplOWvY3G8sPIYegVGtPflk4faVHnAotXpeeanw2w+nYSTjQW/P9ONpp5l343O1Wj594RhtOVoTLpxu5+LDY908mdkh4Z4yIrCpVIUhd8OX+a9NRFk5ZedFGpnqcbf1Y4AF1v8XW3xdzE8Alxt8XG2weI2pk4oikKBVk9Bob5YYJOVX8g/x+P57fBlcjWGqjoudpaM6ezPY90CyrfuUCnBilan5/mVx1hzIgFzMxVfjm7H4FYlh8lru4U7LvLhujMAfDG6Hfe1qdpgTNSsRbujeG9NBDYWatZN60mgW+k3u77Ycp45m87hYmfJ5um9K3UaYm31yu/H+fXQZQa39GLB2A6Vcswd567y+OKD+LvYsvOVvpVyTCEqiwQrJiQuPY8Hvt5DUlYBXRq58OMTnbEyN625ozEphkAlLj2PAFdblk/qahJziUuz5kQ801YcQ6dXGN7Wh89Gtrmjeb03oyiGpOdfDsZiZW7Gz092oeO11bvL43RCJisOxvDH0Tjjh2+1mYr+LTwY3dmfXk3dZbTlmsSMfF7/4wTbzl4FDMmljd3s8bsWhAS42hr+7WKLi51ltU8dycgr5NewWJbsjSYu3bDmj7mZintbezPxrka0buhc9s43BCuFOj3TVhxl7clELNQqvhrTnoGhXtXzRqqZoijM/CeCJXujsVCrWDKhMz2CTC+Hr1Cn51JKDk3c7Wt8WlJtdf5KFkO/3I1Gq+f9+1sytmtAmW01Wj3DvtzN2StZPNDOl7mj2lZfR01QUlY+d324DY1Oz6rJ3ekQ0KBSjpuVX0ibmRvRK3DgjX7VtqizEOUhwYqJiYjP5OFv9pFdoGVYGx/mjTKdhNOo5BzGfLefhIx8GrvZsXxS1xJTnEzNupMJPPfLUbR6haGtvfl8VNvbupt+K3M3nWPelvOYqWDB2A63/YEyT6Pj35MJ/HIwhsOX0ozbfZ1teLJnI8Z1C6y2KW2mRlEU/jgSx4x/wsnK12JpbsaLA5rxZM/GJnlNtDo9myKu8MOeaA5Gpxq3dwxowMS7GnFPiGfJ4Pm6YEUTHcNzvxxhQ/gVLNVmzH+0Pf1DPKv5XVQvvV7huRVH+fdEAvZW5qx8uiuhPhUrjVxV8gt1/Hb4Mt/suMjltDwGhnoy5+G2Mr+/gjRaPSMW7OFUXCZ9gt35oRy5KEdj0hixYC+KAksmdKJPsEc19db0fLrhLF9tu0CHgAasmty9Uo899ItdhMdn8tWYdlU+zVSIiijvZ3eTKF08e/ZsOnXqhIODAx4eHtx///2cPXu2prtVqUJ8HFk4tgPmZir+OR7Ph+vP1HSXALh4NZtR3+wjISOfIA97Vjxl+oEKwOBW3sx/tD0WahX/nkjgf78crfQSqcsPxDDv2oKY/ze85R3d+baxVPNQh4asmtydDc/3Ynz3QBytzYlLz2PmPxGM/nY/sammUTqzOiVl5jPpx0O8+NtxsvK1tGnoxL/P3cXTvZuYZKACYK42Y3Arb359phv/PHsXI9r5YqFWcehSGlN+PkLvT7bzzY6Lpa4JpABTfr4WqJib8c1jHep8oAJgZqZizsNt6NrYhewCLeN/CKvx7/fsAi3f7LjIXR9t4+0/T3E5zTBatiH8Cg8t3GccPRPl8+XW85yKy8TZ1oKPH2xdrtGpdv4NmNC9EQBvrj5Vb9cDydVoWXatlPOkno0q/fidrs0GCItKvUVLIUyTSYysDBo0iEceeYROnTqh1Wp58803OXnyJBEREdjZlS+529RHVopcn3D67rAQJvSo/F9M5XX+ShajvztAcnYBwZ4O/PRkF9wdrGqsP7djy+krhrUcdHoGhHjy9Zj2WJrfeQy+KeIKTy87hF6B/90dxPR7giuht8XlF+r49VAsH607Q45Gh52lmrfvDWFUJ786Pw1FURT+Ph7PO3+Fk5FXiIVaxfP9m/F0r8ZVNqWvKiVl5vPT/kv8dCCG1BzDytM2FoYAdXyPQJoc2I4mK4cFB+KYax2MpbkZ343rSO9m7jXc8+qVmV/Iwwv3cSYxi8Zudvw+uXu15yqk5mhYsieKJXujybw2NdPX2Yanezemibs901YcJTlbg5u9Jd881rHSpuPUZUdi0nhowV70Cnw9pj1DW5c/9yqnQMs9c3cSl57HhB6BvDsstAp7app+3BfNO3+FE+Bqy9YX+1T6jZp/TxiK04R4O7J2Ws9KPbYQd6JWTwO7evUqHh4e7Nixg169epVrn9oSrAB8ve0Cn2w4i0oF88e0r5Gk2tMJhoUNU3I0tPB25KcnOuNqX7sClSLbzybx1LLDaLR6+jX3YP7Y9neUE3T4UipjvjtAgVbPqI5+fPhgqyoNHmJScnnpt+PGKUV3N/fgwwdb1dmSx1ezCnjrz5NsCL8CQEtfRz4b2ZZgr6opoVud8gt1/H08nsW7oziTmGXc3ifYnUKdnj0XUrAyN2PR4524q6np5W1UhyuZ+YyYv5e49Dza+jmzfFIXbC2rfspVYkY+3+2KZPmBGPIKDYUSmrjbMaVPEPe19TFOI72clsukHw9zOiETS7UZs0e04sEOlbPmTV2Uq9EyZN4uolNyub+tD58/0q7CxyhKAlepYNXk7rT3rz8Bok6v0PfT7cSk5vJ/w0MZ1y2w0s+RlJlP5w+2oFLB8XfvwdHaNIv8iPqnVk0Du1FGRgYALi5lJzIXFBSQmZlZ7FFbTOnThLFd/VEUmLbyGGHR1Ts0Gx6fwZjv9pOSo6GlryO/TOpSawMVgD7BHix6vCNW5mZsOZPEUz8eJv/ah5GKupCUzRNLD1Gg1XN3cw9mPdCyykc5/F1t+eWprrwxpDmWajO2nkli4NydrD2ZUKXnrQlrTsRzz9wdbAi/goVaxYsDmrF6So86EagAWFuoebijH+um9WT5pC70b+GJSgXbz15lz4UUrC3M+GF8/Q1UADwdrVk6sTPOthYci03n2eVHuZyWW2UrbEcn5/D6Hyfo9fE2Fu2OIq9QR0tfRxaObc+mF3rzYIeGxfLdGjaw5fdnujEw1BPNtdLSs9edRqc3uft6JuGDtaeJTsnF28mamcNb3tYxejdzZ0Q7XxQFXlt1otKn9JqyjeGJxKTm4mxrwUNVFBR7OFoT4GqLosCR63ImhagtTG5kRVEUhg8fTlpaGrt27Sqz3YwZM5g5c2aJ7bVhZAUMd1Oe+ekwmyKu4GRjwarJ3apscbbrnbiczmOLDpKRV0ibhk78OLELTrZ14y7L3gvJPLH0EHmFOno2dePbxzpiY1n+EZaauuN7vbOJWbyw8hgRCYbge3hbH/7vvpa1/v8oJbuAd/4K599rAVgLb0c+G9mGEB/T/1m9U9HJOSzZG83R2HReH9ycro1da7pLJuHwpTQe/X6/cX0bZ1sLWvo4EerrSKiPEy19HAl0tbvtQiRnEjNZsP0i/xyPpyjO6NzIhal9g+jV1O2WNyH0eoU5m87x1bYLAPRr7sHnj7TFQe5KGxWNiAD8/GSXO6rylpqjof+cHaTmaJg+oBn/69f01jvVYpfTcjkQmcqCHRe5kJTNs32DeGlg5U83LvLir8dZdeQyU/s24eWBzavsPEJURK2dBjZ16lT+/fdfdu/eTcOGZd9lKCgooKCgwPh1ZmYmfn5+tSZYgeILDfo627B6SvcqXX/jaEwa4xYfJCtfS3t/Z5ZM7FznhoP3R6YwcUkYuRod3Zu48v3jHcsVcJjCXPoiGq2eL7ee5+ttF9Ar4OVozccPtaZXLc1vWHcygbf+PEVKjga1mYqpfYN4tm9QpeQW1RqHD4NGA5aW0KFy1k+oC3adv8pH689wNjGLQl3JP0V2lmpCrw9gfB0Jcre/aV7TkZg05m+7wObTScZtfYPdmdI3yJhoXBF/HYvj5d8Nd/ubedrz/bhO+Lua1vpTNSE9V8M9c3eSlFXA+O6BzLjvznNN/joWx7QVx7BUm7F22l3VcgOvuhQFJ/sjU9gflUJs6n8FHOws1Wx7uU+VTv1dGRbDq6tO0rmRC78+3a3KziNERdTKYOW5557jzz//ZOfOnTRqVLHE89qUs3K91BwNDy7YS1RyDiHejqx8umuV3Lk7FJ3K+B/CyC7Q0jnQhcUTOmFfR0tzhkWnMn7xQXI0Ojo3cuGH8Z1uWoa0QKvj8cUH2R+ZiruDFX9M7m4Si2EeiUnjxV+PE5WcA8BjXQN4fUjzSh/tSczIZ9vZJHadv4pOrxDgamdY18TF8OztZH1bSe9pORre/Tucv4/HA4bV3z97uA0tfU2jZG21KmMFe2FQoNVx/ko2p+IyOBWfwam4TM4kZhpHXa5nZW5Gc29HWvo40tLXiVAfR5p5OnAoOo2vt11gX2QKACoVDGnlzZQ+Te64TPKx2HSe+vEQSVkFNLC1YOHYDnSp5yNkzy4/wpoTCTR2t+Pf53pWaBS7LIqiMHFJGNvOXqVDQAN+e7qbyZT4r6jLabnsLwpOIlOM1eaKqM1UtG7oRNfGroxo53vThYYrw8Wr2fT7bAeW5macnHGPya31JuqnWhWsKIrCc889x+rVq9m+fTtNm1Z8+Le2BitgSLAesWAPydkaejZ1Y/H4TpW6ZsiByBQmXBtt6NrYhcXjO1X79KbqdvhSGuMXHySrQEvHgAYsmdi51ODsxvUfVjzV1aQ+TOdpdHy47jRL9xnKWga62vLZw23vqEKRTq9wLDadbWeS2HomyTjlrCzmZir8rlshPuDayvFFizRaW5T8o7cxPJE3Vp8iObsAMxVM7tOE//VrWn//QEqwUmFanZ7I5BxDABOXyan4DCLiM8kupbytmQrjVC9zMxUj2vvyTO8mNHa3r7T+JGYYymyfjMvA3EzF+/e35JHO/pV2/NqkaAREbabij8ndaePnXGnHjkvP4545O8jR6Kok4fxUXAZfb7tAbFournZWuNpb4mZvhaudJa72176+tt3FzrLU32+lqUhw0rWxKx0CGlTrDUNFUej4/mZScjSsmtyNDgEVH2UUorLVqmBlypQpLF++nL/++ovg4P/mbDo5OWFjU75V1GtzsAJwPDadR77dT16hjhHtfflsZJtKSezeeyGZiUvDyC/Uc1eQG9+Nq1geR212LDadcYsOkJmvpZ2/M0tvmPamKAr/tyaCH/YYVtb+YXxnk0183nX+Ki//doLEzHzMVPBM7yY8379ZuadSZeQWsuP8VbadSWLHuavG8rpguAPdpqEzdzf3wNHanEupucSk5BKdkkNsah4aXdnJriqVYZqav4stga52+Lvacv5KFn8eM4ymBHnY89nINpX6YaZWkmClUuj1CjGpucbRl/D4DE7FZZCWW4i1hRmPdPJnUq/G+DqX7+9GReVpdLz0+3H+PWHIvZrQI5A3h7SoleW2b1dCRh4D5+4kM1/L8/2b8nz/ZpV+jqV7o3n373DsLNVsmt4bn0r4/zx/JYs5m86x7lRihfZzsDLH1f5aIGNnafj3tWDG0tyMozHpJhmclObpZYfYEH6FVwc1Z3KfJjXaFyGglgUrZX0o/+GHHxg/fny5jlHbgxWAbWeSePLHQ+j0Ck/3bszIDn53dLzzV7J4fuUxCrR6ejdz55vHOpT7LlFdcfJyBmMXHfivoMATXXCyMQQs3+y4yOx1hsU55z3SluFtfWuyq7eUkVfIzL/D+eNoHGBIUp87qg3NvUp+vyuKwrkr2Ww9k8S2M0kcjkkrVs3IwdqcXs3cuTvYgz7B7mVWg9PrFRIz84lOySEmJZdLqblcSsnhUoohoMkqYxE3MxVM6tWYF/o3q3ffc6WSYKXKKIrhe9Teyrxakt8VReHLrReYs+kcAL2aufPl6HbG3yt1mV6v8PgPB9l1Ppk2DZ34fXL3Sp0FcP15Hlq4lyMx6dzd3FDt8XZv3l1KyeHzzef581gcimK4wTK8jQ9DWnmTnldISraG1JwCUrI1JOdoSMk2/Dslp6DUPKqy3BicdAxocNPpxzXh+12RvP/vafo192DR+E413R0halewUhnqQrACsOJgDK/9cbJSj1kZa4/UZuHxGYz9/gBpuYW09HXkpye6sO1sEi+sNCzO+eaQFkzq1biGe1l+604m8Mbqk6TlFmKpNmP6Pc2Y1LMxhTo9ey8mXwtQrpZYgbuphz13N/egb3MPOgQ0uOMPGYqikJqjMY7EXEoxBDIFWj0T72oki+ldT4KVOmftyQSm/3qM/EI9jd3tWPR4Jxq5lW8R49qqaMTD2sKMf//XkyaVOM3uRuevZDH0i91odHq+GN2O+9r4VGj/+PQ8vtx6nl8PXTbeqBkU6sX0e5rRrBz5IYqikJmvNQQv14KY5GyNMZBJydaQVaAl1MfRZIOTGx2PTWf413twsrHg6NsDam0+kKg7JFipxb7fFck3OyMpvMn0m/IaGOLFe/e3rF+Vl0pxOiGTR78/QGqOhsbudsSk5KLVKzxxVyPevjekprtXYUlZ+bzxx0ljxaNAV1sSM/OLJSRbmpvRvYmrIUAJ9jCJogH1lgQrddKpuAwm/XiIhIx8nGws+HpMe5OdSnqnLl7NZugXu8gv1DPzvlAe7x5Y5eect/k8czefw9XOks3Te9OgHBUar2YV8PW2Cyw/EGOcwton2J0XBwTTqqHp5CPWhEKdntYzNpJXqGPD873qzPpWovaSYEWIG5y7ksWY7/aTnG3I1xjWxod5o9rW2rtLiqLw26HL/N+aCGPSsbeTNX2be3B3sAfdg1zrfCGFWkOClTorKTOfp5Yd5lhsOmozFe8OC6mSVchrUqFOz0ML9nL8cgY9m7qxdELnavm9qdHquffLXZy7ks2I9r7MebhtmW3TczUs3BHJ0r3R5F1bFLhLIxdeGhh8WyWr66pHv9/PngspvHd/Sx7rGlDT3RH1nAQrQpTiQlI2zy4/QhMPe+Y83KZOTI2LT89j38UUQnwcae7lUCmFGUQlk2ClTssv1PH6HydZfS2frFtjVxo2sMHFzpIGdpY0sLWggW3Rvw1fO9taoq4lN0qKRjgcrc3Z+EJvvJyqbj2QGx2JSePBBXtRFFg6sTO9b1hvKiu/kEW7o1i0K8qYQ9fGz5mX7wmmR5Cr/D68wdxN55i35TzD2/ow75F2Nd0dUc+V97O73HYV9UqQhz3rn+9V092oVD7ONjzYoewFVIUQVcvaQs2ch9vQ1NOeTzacNa71cjMqFThaW+BiZ4mzrQUutpY421riYmcIZNzsLQn2MtyAqIkiFRm5hRy/nM6RmDS+3HoBgPfub1mtgQpAe/8GPN4tkCV7o3njj5NsfKEXdlbm5Gl0LN0XzcIdF0nPLQSguZcDL90TTL8WHhKklKFzI8Mo06HotBruiRDlJ8GKEEIIcYdUKhVT+gTRq6k7xy+nk55bSGqOhrRcDWk5GtJyC43/zszXoiiGCn8ZeYU3Pa7aTEVTD3ta+joZF8IM8XGs1CmeBVodpxOyOBaTxvHLGRyPTSfy2mK0Re5t7V1jFRNfHhjMpogrxKXn8dH6MzR2s+OrbRdJzi4AoLG7HdMHNGNIS+9aO623urT1c0ZtpiIuPY+49LwqK/NdV2TkFbJwx0Wy87VM6tkYf1fJ/awJMg1MCCGqWlYWxrqpDpLUWt9pdXrS8wpJz9WQmlNYakCTmJlPeHxmsTWRiqhU0MTd3hi8hPo4EerrWGwdqbLo9QpRKTkcj03neGw6x2LTiUjILLVMb6CrLW38nOkY6MLDHRvW6LTZbWeTmPBDWLFtDRvY8Hz/Ztzf1qderXVzp4Z/tZvjlzNqRcn+mqLXK/xxNI4P15025rmam6kY2bEhU/sG0bBB9QctWfmF/HksnoxcDV0bu9LGz7lKSodXJ8lZEUIIIWqxojVkTsVlcirOsADmqfgMrmQWlNo+0NWWUF8nWvo40dLXkZY+Tmj1CseuBSbHLxueM/NLro/kYmdJWz9n2jR0po2fE20aOper+lZ1mr7yGH8cjcPT0Ypn727KqI5+9b7S5e14b00Ei3ZH8WgXf2Y90Kqmu2NyTsVl8M5fpzgSkw5AE3c7fJxt2HU+GQALtYpRnfyY2jcIb6eqH5mKTc1lyd5oVobFGovpANhZquncyIUeQW70CHIj2NOh1o0sSrAihBBC1EFJWYZRl1OXDcHLqbjMEusq3YyVuRmtfJ1o4+dMGz9n2vk507CBjcnneWh1esKi02jn7yyLzd6B9acSeeanwwR7OrDhhbqVw3kn0nM1fLrxLD8fiEFRDMHAtP5NGd+9EZbmZhyKTmXu5nPsuWDISbM0N2NMZ3+m9GmCh2Pl53IdvpTGot2RrD+VSNGazkEe9jTztGd/ZGqJUVdXO0u6NXGlR5AbdwW51YrlCiRYEUIIIeqJtBwN4fGZnLw2+hIel0F0Si4qlWFB2DYNnWnrbxg5CfZyqPXTR8TtS84uoOP7mwE49s4AnG1NawStuun0CivDYvlkwxnSrhVrGN7Wh9cHtyi1oMT+yBTmbDzHwehUwBD8P9Y1gGf6NMHN3uqO+qLV6Vkfnsj3u6I4Fptu3N6zqRtP3NWIXk3dMTNTodcrnEnMYs+FZPZcTOZAZKqxZHcRPxcbejRxo3uQG92buN5x36qCBCtCCGEq5syBzExwdITp02u6N6KeyMovRKVSYW/iK6uL6nf3Z9uJvJrDosc70q+FZ013p8YcjUnj3b/DOXE5A4BgTwdmDg+la2PXm+6nKAp7L6bw2cazxuliNhZqxnUP4OleTXCp4BTKjLxCVobFsHTvJeMoqaXajPvb+TDxrkY097r551qNVs+x2HT2XEhm78Vkjsako9UX/3jf3Mvh2pQxVzo3cjWJ3wsSrAghhKmQdVaEECbk1d9PsPJQLE/3bszrg1vUdHeqXXJ2AR+vP8Ovhwy/jx2szJl+TzMe6xpQoWINiqKw83wyczae5fi1gMfOUs2EHo14smejW45axaTk8sPeKH4NiyVHYxgZcbWzZGzXAMZ2DcDd4fZGQ7ILtIRFpbLnQjK7LyRzJjGr2OvmZioe7eLPzOEtb+v4lUXWWRFCCCGEECV0auTCykOx9W69Fa1Oz88HYvhs41ljoYmHOjTk1UHNbyswUKlU9G7mTq+mbmw9k8ScTecIj8/kq20XWLo3mid6NmLiXY2KVepTFIVDl9L4flckmyKuGPNRmnrY82TPRgxv63vHOVn2Vub0be5B3+YegCE423cxhb0XDcFLbGoeLnamNy2sLDKyIoQQVU1GVoQQJuRSSg69P9mOhVrFyRkD60XBgoNRqbzz1ynjKEOojyP/NzyUDgEulXYORVHYGHGFuZvOGc/jaG3OU70aM7ZrADvOXWXR7ijjtDOAXs3cefKuRvRs6lZtRS5iU3OxMjerksIAFSEjK0IIIYQQogR/F1s8HKxIyirgeGw6XW6Ro1GbJWXmM3vdGVYfjQPAycaClwcGM7qzP+pKLvWrUqkYGOrFgBaerDuVyOebz3E+KZtPN57js03nKBoesDQ3Y0Q7Xybe1YhmntW/9lZtqBR2PQlWhBBCCCHqEZVKRadAF/49mUBYdGqdDFa0Oj1L9kbz+ebzZBdoUangkU7+vDwwuMIJ8BVlZqZiaGtvBrX0Ys2JeOZtPk9kcg5u9pY81jWQR7v6m2R1LlMlwYoQQgghRD3TKbDBtWCl7uWtaHV6nvvlKOtOJQLQxs+Z/7svlDZ+ztXaD7WZiuFtfRnaypvolBwaNrCtF1PuKpsEK0IIIYQQ9UzHQEOuxpFLaej0SqVPiaopOr3CS78dZ92pRCzVZswcHsqojn41urq7udqMII/qn+5VV8iqUEIIIYQQ9UwLb0fsrczJKtByJjGzprtTKfR6hTdXn+TPY/GYm6mY/2h7Rnf2r9FARdw5CVaEEEIIIeoZtZmK9gENAAiLSq3h3tw5RVGY+U84K8JiMVPB54+0pX9I/V3wsi6RYEUIIapa+/bQtavhWQghTESnomDlUu3OW1EUhQ/XnWHpvkuoVPDJQ224t7VPTXdLVBLJWRFCiKr299813QMhhCihUyND3kpYVCqKolTbOh+V7fPN5/lmZyQAs+5vxYMdGtZwj0RlkpEVIYQQQoh6qK2fMxZqFUlZBcSm5tV0d27Lgu0XmbflPADv3BvCmC7+NdwjUdkkWBFCCCGEqIesLdS08nUC4GB07ctb+WFPFB+tPwPAK4OCmXhXoxrukagKEqwIIYQQQtRTna6VMD5Uy4KVXw7GMPOfCAD+d3cQU/oE1XCPRFWRYEUIIaraffdBt26GZyGEMCFFwUptGllZffQyb6w+CcBTvRrzwoBmNdwjUZUkwV4IIarakSMQFwe+vjXdEyGEKKbDtYpgkVdzSMkuwNXeqoZ7dHP/nkjgxV+PoygwrlsArw9uXmsLA4jykZEVIYQQQoh6qoGdJc087QEIizbtEsabI64wbcVR9Ao83LEhM4aFSqBSD0iwIoQQQghRj3WsBXkru85fZcrPR9DqFYa39WH2iNayMn09IdPAhBBCCCHqsc6BLiw/EMPuC8kcjTGMrqhUKopCAZUKir66fiCjtO0WahUBrnZYqCvvfvj+yBQm/XgIjU7PoFAvPhvZBrUEKvWGBCtCCCGEEPVYx0BD3sqZxCwemL/3jo9nY6GmrZ8zHQMb0DHQhXb+zjhaW9zWsY7EpPHEkjDyC/X0DXbni9HtMK/EQEiYPpMKVubPn88nn3xCQkICoaGhfP755/Ts2bOmuyWEEEIIUWc1bGDLmC7+7D6fjIKCohi2Fz0b/q2g8N/2oq8M//6vbZ5GS45Gx77IFPZFpgCGUZfmXo50DGhgDGB8nW1u2a9TcRk8vvggORodPYJcWTC2A5bmEqjUNyYTrKxcuZLnn3+e+fPn06NHD7755hsGDx5MREQE/v6yGqkQQgghRFX54IFWlXIcvV7h4tVswqLTOHQplcOX0riUksvphExOJ2SybP8lAHycrOkQ6EKnwAZ0CGhAcy/HYlO7ziZm8diiA2Tla+kU2IDvxnXE2kJdKX0UtYtKUa6Pm2tOly5daN++PQsWLDBua9GiBffffz+zZ8++5f6ZmZk4OTmRkZGBo6NjVXZVCCEqpmHD/0oXX75c070RQohqlZSZz+FLaYRFp3H4Uiqn4jPR6Yt//LS3MqedvzMdA1xo5mnP23+Fk5xdQJuGTvz0ZBccbnMamTBd5f3sbhIjKxqNhsOHD/Paa68V237PPfewd2/pcycLCgooKCgwfp2RkQEY3rgQQpgUvf6/Z/kdJYSoZ6yBHgF29AiwAxqSq9Fy8nIGR2PSORKbxvHYdDIzc9lxKpMdp2KM+wV7OfDlQ81RNHlkavJqrP+iahR9Zr/VuIlJBCvJycnodDo8PT2Lbff09CQxMbHUfWbPns3MmTNLbPfz86uSPgohxB1LSAAnp5ruhRBC1AqxQMBrt2wmarmsrCycbvK30SSClSI3LuyjKEqZi/28/vrrTJ8+3fi1Xq8nNTUVV1fX21ogKDMzEz8/P2JjY2UaWRWQ61t15NpWLbm+VUeubdWS61u15PpWHbm2VctUrq+iKGRlZeHj43PTdiYRrLi5uaFWq0uMoiQlJZUYbSliZWWFlZVVsW3Ozs533BdHR0f5wahCcn2rjlzbqiXXt+rIta1acn2rllzfqiPXtmqZwvW92YhKEZOo/2ZpaUmHDh3YtGlTse2bNm2ie/fuNdQrIYQQQgghRE0yiZEVgOnTp/PYY4/RsWNHunXrxrfffktMTAzPPPNMTXdNCCGEEEIIUQNMJlgZNWoUKSkp/N///R8JCQm0bNmStWvXEhAQUC3nt7Ky4t133y0xtUxUDrm+VUeubdWS61t15NpWLbm+VUuub9WRa1u1atv1NZl1VoQQQgghhBDieiaRsyKEEEIIIYQQN5JgRQghhBBCCGGSJFgRQgghhBBCmCQJVoQQQgghhBAmSYIVIYQQQgghhEmSYEUIIYQQQghhkiRYEUIIIYQQQpgkCVaEEEIIIYQQJkmCFSGEEEIIIYRJkmBFCCGEEEIIYZIkWBFCCCGEEEKYJAlWhBDCBM2YMQOVSkVycnKpr7ds2ZI+ffoYv46NjWXKlCk0a9YMGxsbXFxcaNWqFZMmTSI2NrbE/rt372b06NH4+/tjZWWFnZ0doaGhvPjii5w5c6ZYW0VRWLFiBT179sTDwwNra2saNmzIwIED+f7778v9njZv3ky3bt2wtbXFzc2N8ePHk5SUVOr7LuuxYsUKY9tffvmFXr164enpiZWVFT4+PgwbNoy9e/eWOPePP/7II488QnBwMGZmZgQGBpbax61btzJx4kSaN2+OnZ0dvr6+DB8+nMOHDxdrp9PpmDNnDoMGDaJhw4bY2trSokULXnvtNdLT00s99pdffknz5s2xsrKiUaNGzJw5k8LCwhLtkpKSGD9+PG5ubtja2tKtWze2bNlyi6srhBB1kwQrQghRy12+fJn27duzadMmpk+fztq1a1m8eDGjR48mLCyMyMjIYu3feustevbsyaVLl3jrrbdYv349f/75JxMnTmTTpk20aNECnU5nbP/6668zevRoWrRowffff8+6det4//338fT05K+//ipXH3fs2MHgwYON+8ybN4/NmzfTr18/CgoKjO2efPJJ9u3bV+LRsmVLbGxsGDRokLFtSkoKPXr0YP78+WzcuJE5c+Zw5coVevXqxY4dO4qdf9myZYSHh9O5c2eaNGlSZj8XLFhAdHQ006ZNY+3atcybN4+kpCS6du3K1q1bje3y8vKYMWMGAQEBfP7556xdu5ZJkybx7bff0qNHD/Ly8oodd9asWUybNo0RI0awYcMGpkyZwgcffMDUqVOLtSsoKKBfv35s2bKFefPm8ddff+Hp6cmgQYNKvCchhKgXFCGEECbn3XffVQDl6tWrpb4eGhqq9O7dW1EURXnnnXcUQImMjCy1rU6nM/57+fLlCqA888wzil6vL9FWr9crX331laLVahVFUZTc3FzFyspKGTdu3C2PfTOdOnVSQkJClMLCQuO2PXv2KIAyf/78m+4bFRWlqFQqZezYsbc8T3p6umJhYaE89thjZfZz6NChSkBAQKn7X7lypcS2rKwsxdPTU+nXr59xm1arVZKTk0u0/e233xRAWbZsmXFbcnKyYm1trTz11FPF2s6aNUtRqVRKeHi4cdvXX3+tAMrevXuN2woLC5WQkBClc+fOZbxrIYSou2RkRQgharmUlBTMzMzw8PAo9XUzs/9+1b///vu4ubkxd+5cVCpVibYqlYqpU6eiVqsByMnJoaCgAG9v71seuyxxcXGEhYXx2GOPYW5ubtzevXt3mjVrxurVq2+6/+LFi1EUhSeffPKW53JwcMDa2rrYecrbT6DUa2hvb09ISEix6XRqtRpXV9cSbTt37gxQrO369evJz89nwoQJxdpOmDABRVH4888/jdtWr15NcHAw3bp1M24zNzdn7NixHDx4kLi4uHK9DyGEqCskWBFCiFquW7du6PV64xSjzMzMUtvFx8cTERHBgAEDsLa2Ltex3dzcCAoKYv78+cyZM4czZ86gKEqF+nfq1CkAWrduXeK11q1bG18vjV6vZ8mSJQQFBdG7d+9S2+h0OgoLC4mOjmby5MkoilJietWdyMjI4MiRI4SGht6ybdFUsevbFr2/Vq1aFWvr7e2Nm5tbsfd/6tSpMq8TQHh4eMXfgBBC1GISrAghRC03ZswYnn76aTZv3sygQYNwdnYmJCSE6dOnEx0dbWxXdLc/ICCgxDF0Oh1ardb4uD4gWb58OQ0aNODFF1+kRYsWODk5MWzYMJYtW1auwCUlJQUAFxeXEq+5uLgYXy/Nxo0biY2N5YknniizTWhoKJaWljRq1Ih//vmH9evX06FDh1v2q7ymTp1KTk4Ob7755k3bxcXF8dprr9GxY0fuvfde4/aUlBRjEYMb3fj+U1JSyrxORa8LIUR9IsGKEELUciqVioULFxIZGcn8+fOZMGEChYWFzJ07l9DQ0HIlZru6umJhYWF8rFq1yvhap06duHDhAuvXr+eNN94wVqcaN24c9913nzFguTHg0ev1JfpZVv/LsmjRIszNzRk/fnyZbVatWsWBAwf47bffCAkJYfDgwWzfvv2W77k83n77bX7++Wfmzp170wAoNTWVIUOGoCgKK1euLDHt7Gbv8cbXKtJWCCHqOglWhBDCBBXlXFxflet6Wq0WCwuLYtsCAgKYPHkyixYt4vz586xcuZL8/HxefvllAPz8/AC4dOlSieNt376dsLAwFi5cWOr5LCwsGDhwILNmzWLDhg3ExsbSp08f1qxZw7p16wDo169fsYBn4sSJAMbcjtJGBVJTU0sdSQBITk7m77//ZujQoXh5eZXaBgwjK507d+ahhx5i/fr1BAQEMG3atDLbl9fMmTN5//33mTVrFs8++2yZ7dLS0hgwYABxcXFs2rSJxo0bF3vd1dWV/Px8cnNzS+x74/t3dXUt8zpB6aNTQghRl0mwIoQQJsjT0xOg1IRqRVFISEgwtinLww8/XCwnxMfHh9DQUDZt2kR+fn6xtm3btqVjx44EBweXq3+urq48//zzwH85Gd988w1hYWHGx4wZMwDDmjAAJ0+eLHGckydPGl+/0bJly9BoNOVKrC9ibm5O+/btOXfuXLn3Kc3MmTOZMWMGM2bM4I033iizXVpaGv379ycqKopNmzaVmm9SlKty4/tPTEwkOTm52Ptv1apVmdcJKPNaCSFEXSXBihBCmKC7774blUrFypUrS7y2fv16MjMz6d+/PwAJCQmlHiM7O5vY2Fh8fHyM2958802Sk5OZPn16ufJNCgsLy8yTOH36NIDx+MHBwXTs2NH4KFp40dfXl86dO/PTTz8VGynav38/Z8+eZcSIEaUef9GiRfj4+DB48OBb9rNIfn4++/fvJygoqNz73Oi9995jxowZvPXWW7z77rtltisKVCIjI9m4cSPt2rUrtd2gQYOwtrZmyZIlxbYvWbIElUrF/fffb9z2wAMPcObMGQ4cOGDcptVq+emnn+jSpUux/0shhKgPzG/dRAghRHVr0qQJzz77LJ988gnp6ekMGTIEGxsbwsLC+PDDD+nYsSNjxowBDAsO7tmzh1GjRtG2bVtsbGyIioriq6++IiUlhU8++cR43NGjRxMeHs6sWbM4fvw448ePp2nTpuj1emJjY1m2bBlgKAEMhkpYgYGBjBw5kv79++Pn50d2djbbt29n3rx5tGjRosxg43offfQRAwYMYOTIkUyZMoWkpCRee+01WrZsWaKkL8CBAwcIDw/njTfeMJZRvlH37t257777jEn/0dHRLFiwgIsXL5YohxwREUFERARgGNHIzc3l999/ByAkJISQkBAAPvvsM9555x0GDRrE0KFD2b9/f7HjdO3aFTAsCjlw4ECOHj3K559/jlarLdbW3d3duPiki4sLb731Fm+//TYuLi7cc889xpGnJ5980nhugIkTJ/L1118zcuRIPvzwQzw8PJg/fz5nz55l8+bNt7zOQghR59TUAi9CCCFuTq/XKwsWLFA6duyo2NraKpaWlkrTpk2VV199VcnKyjK2279/vzJ16lSlTZs2iouLi6JWqxV3d3dl0KBBytq1a0s99s6dO5VRo0YpDRs2VCwsLBRbW1slJCREmTx5snLo0CFju4KCAuXTTz9VBg8erPj7+ytWVlaKtbW10qJFC+WVV15RUlJSyv1+Nm7cqHTt2lWxtrZWXFxclHHjxpW6CKOiKMqkSZMUlUqlXLx4sczjvfjii0qbNm0UJycnxdzcXPHy8lIeeOABZc+ePSXaFi2yWdrj3XffNbbr3bt3me2u/5MZFRV103aPP/54iT7MmzdPadasmWJpaan4+/sr7777rqLRaEq0S0xMVMaNG6e4uLgo1tbWSteuXZVNmzbd5MoKIUTdpVKUChbMF0IIIYQQQohqIDkrQgghhBBCCJMkwYoQQgghhBDCJEmwIoQQQgghhDBJEqwIIYQQQgghTJIEK0IIIYQQQgiTVGfWWdHr9cTHx+Pg4IBKparp7gghhBBCCCHKoCgKWVlZ+Pj4YGZW9vhJnQlW4uPj8fPzq+luCCGEEEIIIcopNjaWhg0blvl6nQlWilZbjo2NxdHRsYZ7I4QQVeCHHyAnB+zsoJRV34UQQojaIjMzEz8/P+Nn+LLUmWClaOqXo6OjBCtCiLpp2rSa7oEQQghRqW6VviEJ9kIIIYQQQgiTJMGKEEJUsR3nrvLggr1EJ+fUdFeEEEKIWkWCFSGEqGLf7Yzk8KU0fj0Ue2cHSkiAy5cNz0IIIUQ9IMGKEEJUIUVRCI/PACA8PvPODtapE/j5GZ6FEEKIekCCFSGEqEIJGfmk5RYCEJFwh8GKEEIIUc9IsCKEEFXo+tGUq1kFJGXl12BvhBBCiNpFghUhhKhCRVPAipxOyKqhngghhBC1jwQrQghRhU7FGUZWzK6VkY+407wVIYQQoh6RYEUIIapQxLWRlV7N3A1fS96KEEIIUW4SrAghRBVJy9EQn2HIUXmoQ0Pgv+BFCCGEELcmwYoQQlSRouT6AFdbOjdyASAyOYdcjbYmuyWEEELUGhKsCCFEFSlKrg/1ccTDwRo3eysUBc4mSpK9EEIIUR4SrAghRBU5dW1kJdTHCYAQH0dA8laEEEKI8jKv6Q4IIURddf3IStHzznNXb78i2JYtoNWCufzqFkIIUT/IXzwhhKgCOQVaopJzgOtGVrzvcGQlOLhS+iaEEELUFjINTAghqsCZxEwUBTwcrHB3sAL+mwZ2JiELnV6pye4JIYQQtYIEK0IIUQWKFoMsmgIGEOhqh42FmrxCHdEpOTXVNSGEEKLWkGBFCCGqQFG+SktfJ+M2tZmK5t4OwG2uZL98OXz/veFZCCGEqAckWBFCiCoQHl9yZAXuMG/llVdg0iTDsxBCCFEPSLAihBCVTKPVc+6KYS2VouT6IkV5K+G3WxFMCCGEqEckWBFCiEp2PimLQp2Co7U5DRvYFHvNOLIiwYoQQghxSxKsCCFEJQuP+28xSJVKVey15l6OmKkgObuApKz8muieEEIIUWtIsCKEEJXsxsUgr2djqaaRmx0goytCCCHErUiwIoQQlcyYXO9bMlgBCLmWx3Lbi0MKIYQQ9YQEK6LeWXMinsOXUmu6G6KO0usVTif8Nw2sNJK3IoQQQpSPBCuiXgmLTuXZ5UcZ9c1+/jkeX9PdEXVQdEoOORodVuZmNL423etGRRXBZGRFCCGEuDkJVkS98svBGAC0eoVpK47y++HLNdwjUdecujZa0sLbEXN16b9ii0ZWopJzyNVoq61vQgghRG0jwYqoNzLyCll7MgGAnk3d0Cvw0m/H+fnApRrumahLbpZcX8TdwQp3BysUBc4kZpX/4F5e4OtreBZCCCHqAQlWRL3x97E48gv1BHs6sHRCZ8Z3DwTgzdWnWLQ7qmY7J+qMiPib56sUua28lUOH4PJlw7MQQghRD0iwIuqNFWGxAIzq5IeZmYp3h4XwdO/GALy3JoKvt12oye6JOkBRlP8qgd1kZAUkb0UIIYQoDwlWRL1wKi6D8PhMLNVmPNDOFwCVSsVrg5rzfP+mAHyy4SxzNp5FUZSa7KqoxRIz80nN0aA2UxHs5XDTtlIRTAghhLg1CVZEvVCUWD+wpRcN7CyN21UqFc/3b8arg5oD8MXWC8xed0YCFnFbTl1bub6phz3WFuqbti0aeTmTmIlOL99vQgghRGkkWBF1Xq5Gy9/HDGWKR3fyK7XN5D5NeHdYCADf7ozk3b/D0csHSFFBRcn1IbeYAgYQ4GqHraWa/EI9Uck55TvB00/DyJGGZyGEEKIeMK/pDghR1daeTCSrQIu/iy1dG7uW2W5Cj0ZYmat588+T/LjvEgWFej4Y0Qq1maoaeytqs/ByJtcDqM1UNPdy4EhMOhEJmQR52N/6BP/+C3FxhopgQgghRD0gIyuizlsZZpgCVpRYfzNjuvjz2cg2mKlg5aFYpv96DK1OXx3dFHVARDmT64sYk+wlb0UIIYQolQQrok67kJRNWHQaZip4qEPDcu0zon1DvhzdHnMzFX8di+fZ5UfRaCVgETeXlqMhLj0PKN80MIAQb8MITNH0MSGEEEIUJ8GKqNOKRlXubu6Bp6N1ufcb2tqbBWM7YKk2Y314Is/8dJj8Ql1VdVPUAUVTwAJcbXG0tijXPtePrEhRByGEEKIkCVZEnaXR6ll1JA6ARzr5V3j/ASGefPd4R6zMzdh6Joknlx4iV6Ot7G6KOqI8K9ffKNjTATMVpORouJpVUFVdE0IIIWotCVZEnbX59BVSczR4OFjRJ9j9to7Ru5k7SyZ0xtZSze4LyYxfHEZ2gQQsoqSKJNcXsbFU09jdkFgfLotDCiGEECWYRLAyY8YMVCpVsYeXl1dNd0vUckUr1o/s2BBz9e1/q3dr4sqyJzrjYGXOwehUxn5/gIzcwsrqpqgjKlK2+HqyOKQQQlQ+nV7hSEyarGNVB5hEsAIQGhpKQkKC8XHy5Mma7pKoxS6n5bLr/FUAHu5Y+toqFdEhwIXlk7ribGvBsdh0Rn+3n9QczR0fV9QNuRotkdfWSmlZgZEVuC5vRUZWhBCi0izccZER8/fy8YYzNd0VcYdMJlgxNzfHy8vL+HB3v71pO0IA/HroMooC3Zu4EuBqVynHbNXQiV8mdcXVzpKIhEwe+XYf6bkSsAg4nZCJooCHgxXuDlYV2rdoZOW0jKwIIUSlUBSF3w9fBmDp3miSsyUnsDYzmWDl/Pnz+Pj40KhRIx555BEiIyNv2r6goIDMzMxiDyHAMPT72yHDFLBHOlc8sf5mWng7svLpbng6WnHuSjZL916q1OOL2im8guurXK/FtWAlKiWHnFvlQ40eDU88YXgWQghRqoiETKKujXbnF+r5btfNP1MK02YSwUqXLl348ccf2bBhA9999x2JiYl0796dlJSUMveZPXs2Tk5Oxoef351P9RF1w87zV0nIyMfZ1oJ7Qjwr/fhBHva8PLA5AP+ciJeSsyaoUKdn29kkvtsZSZ6m6ktOh8dVPLm+iLuDFR4OVigKnEnMunnjTz6B7783PAshhCjVmhMJAPg4GZYsWLbvkkzdrsVMIlgZPHgwDz74IK1ataJ///78+++/ACxdurTMfV5//XUyMjKMj9jY2OrqrjBxKw8avhceaOeLtYW6Ss5xT6gnlmozLiRlc/bKLT5gimqh1yvsj0zhzdUn6TxrMxN+CGPW2tPM336hys8dnlDxssXXk7wVIYSoHIqi8O+1YOX1IS0I9XEkV6Nj0W4ZXamtTCJYuZGdnR2tWrXi/PnzZbaxsrLC0dGx2EOIq1kFbD59Bbi9tVXKy9HawlgO+Z/j8VV2HnFziqJw4nI676+JoPuHW3nk2/38fCCGtNxCbC0NgeofR+LQV2E1GI1Wz7nEbABa+lZ8ZAWkIpgQQlSWk3EZxKTmYmOhpl8LD/7XrykAS/dekkqetZRJBisFBQWcPn0ab2/vmu6KqGVWHbmMVq/Qzt+ZYC+HKj3XsDY+APxzPEGmglWz81ey+GzjWfp+up37vtrD97ujSMzMx8HanIc7NmTZE50Je7M/9lbmxKXncehSWtX1JSkLjU6Po7U5DRvY3NYxZGRFCCEqR9Goyt0tPLC1NGdAC0+aezmQXaBl8Z6oGu6duB3mNd0BgJdeeolhw4bh7+9PUlIS77//PpmZmTz++OM13TVRiyiKwspra6s80qnqc5j6tfDAxkJNTGouJy5n0MbPucrPWZ/Fpubyz4l4/j4WXyy3w9rCjP4tPLmvjQ+9g92xMv9v6t/gll78dvgyq4/G0bmRS5X0qyi5PsTHEZVKdVvHKBpZOZOQiVanL3tdoObNIT4efHzgjJTjFEKI6ymKYsxXGdbacMPbzEzFc3c3ZeryIyzeE8UTPRvhaG1Rk90UFWQSwcrly5cZPXo0ycnJuLu707VrV/bv309AQEBNd03UIgejUolKzsHOUs29rX2q/Hy2lub0D/Hkn+Px/HM8XoKVKpCUlc/aEwn8fTyeIzHpxu0WahW9mrpzX1sf+rfwxM6q9F9lD7Tz5bfDl/n3RDwz7gspFshUlojbWLn+RoGudthaqsnV6IhOySHIo4xRwexsyMoyPAshhCjmWGw6cel52Fqq6RPsYdw+uKUXQR72XEjK5se90Tx7d9Ma7KWoKJMIVlasWFHTXRB1QNGoyrA2PmV+eK1sw1p788/xeNacSOCNIS0wM7u9O+viP3q9wt/H4/ntcCz7LqZQlG6iUkG3xq7c18aHQS29cLa1vOWxujR2xcvRmsTMfLaducqgll6V3t+iletvN7keDHf+Wng7cvhSGuHxmWUHK0IIIcpUNKrSv4VnsQI7htGVIKatOMb3u6MY36MR9tX0OUHcOZPMWRGiojJyC/n3pOGX1KhqmAJWpHewOw7W5iRm5ldpXkR1yC/UVWkienmcTcxi5Df7eH7lMfZcMAQqbf2ceefeEA683o/lk7rySGf/cgUqAGozFcPbGkbZ/jwaV+n91esV48jK7SbXFzEm2UveihBCVJher7D22ueAe1uXzHm+t7UPjd3sSM8tZNk+WSOtNpFgRdQJfx2Po0Crp7mXA22rcTqWlbmagaGGu/W1uSrYpZQc7vpoK90/3Mqvh2LRVXPQkl+o45MNZxj6xS4OX0rD1lLN8/2bsvPlvvw5tQcT72qEh6P1bR37/na+AGw9k1TplWCiU3LI0eiwMjejsZvdHR3LmGQvFcGEKNXhS2k8tugAZxLlZ0SUdCQmjYSMfByszOnVzL3E62ozFVP6BgHw/a5IcjW3WIRXmAwJVkStpygKv1xbW2VUJ7/bTnK+XUVVwdaeTECr01fruSuDTq8w/dfjJGdrSMzM55XfTzD0i13sOHe1Ws6/6/xV7pm7k6+3XUSrV+jfwoNN03vzfP9m+Lva3vHxW3g70tzLAY1Oz9pTCZXQ4/8UJdc393YsOym+nK4vXyzV5YQoTqdXeHXVCXadT+aDtVJcQpRUNAVsQIhnmWusDW/rg7+LLSk5GpYfiKnO7ok7IMGKqPVOxWVyOiETS3MzHrh2F706dW/iioudJSk5GvZFplT7+e/UtzsjOXwpDXsrc6b1a4qjtTlnErN4fPFBHlt0wJiTUdmSswuYtuIojy06SExqLl6O1iwc24HvxnXE1/n2SgCXpWh0ZXUlTwULNybX3/k6T8FeDpipICVHQ1JWwR0fT4i65K9jcVxIMhSW2HnuqvHfQoAhmC2aAja0lClgRSzUZkzt2wSAb3ZGkl+oq5b+mZKkzHyeWXaY2NTcmu5KuUmwImq9FWGGuyODQsuXdF3ZLNRmDG5ZO6eCnU7IZM6mswC8MyyEFwY0Y+crfXnyrkZYqs3YdT6Ze7/czfRfjxGfnlcp59TrFVYcjKHfZzv461g8KhWM7x7Ipum9GNTSq0pGxu5r44NKZagYdzmt8n5BV0ZyfRFrCzVN3O0BmQomxPUKdXo+32xYJLooKXrJXlkvQ/znUHQqSVkFOFib07NpySlg13ugXUN8nW24mlXAioP1a3Rl29kkBs/bxfrwRF5ddaKmu1NuEqyIWi1Xo+WvY4YAoTrWVilL0VSw9acSKdDWjjs1BVodL6w8RqFOoX8LT0Z2aAiAs60lb90bwpYXezOsjQ+KYlgFvu+n2/lo/Rky828/7+P8lSxGfbuP1/44SUZeIaE+jvw5pQcz7gvFoQrr3vs429C1kSuA8fvlTimKYhxZaXkHZYuvJ4tDClHSb4cuE5Oai5u9FV+MbgvAqsNxshq5MCoqsDMw1AtL85t/tLU0N2NyH8PoysIdkbXmb/adKNDqeH9NBBN+CCMlR0NzLwf+b3hoTXer3CRYEbXavycSyC7QEuBqS9fGrjXWj06BLng6WpGZr2XXueQa60dFfL75PGcSs3Cxs2T2iFYlRjT8XGz5cnQ7/pzag86NXCjQ6lmw/SK9P97GD3ui0GjLn5+TX6jjs41nGfLFLsKi07CxUPPW0Bb8NbVHta1P88B1U8EqIyckMTOf1BwNajMVwV6VU2r4+rwVIYThd8eXWw2jKlP7NqFvsAfNvRzIK9QZR9VF/WaYApYIlF4FrDQjOzY0lrX/7dDlquxejYu8ms2DC/by/W7DaOT47oH8ObVHrSqRL8GKqNWK1lZ5uKNfja5xojZTMbSVYXTlnxOmPxXsUHQq3+y4CMAHD7TC3cGqzLZt/ZxZ+VRXvhvXkSbudqTlFjLznwjumbuDtScTbvnBf/f5ZAZ9vpMvt164NorjwabpvXiyZ+M7TkqviEGtDHfcLiRlG0dE7kR4nOEYQe72ZSZzVtQtR1YWLoRffzU8C1EPLD8QQ0JGPt5O1ozu7I9KpWLiXY0A+HHfpVpZ1ERUrgNRKSRnF+Bsa0GPILdy7WNlruaZ3o0BWLD9YoVuvtUmqw5f5t4vd3MqLhNnWwu+G9eRGfeFVtrfrOoiwYqotS4kZXHoUhpqMxUPXZvCVJOGtTHc0dkUcYU8jekOK+cUaHnxt+PoFRjR3rdcCyWqVCoGhHiy4flezHqgJW72VkSn5DLl5yM8uGAvh6JTS+yTkl3ACyuPMXbRAaJTcvF0tGLh2PZ8N64jDRvceZWvinK0tmBAC0+gctZcqczk+iItro2sRKfkkF1QSlnNe++FkSMNz0LUcbkaLfO3XwDgf/2aGj9g3dfGB1c7S+LS89gYcaUmuyhMQFEVsEGhXlhU4AbYI539cXewIi49jz+O1K3Rlaz8Ql5YeYwXfztOrkZH18YurJ/WiwEhnjXdtdsiwYqotVZcK1fcN9gDz9tcg6MytfVzpmEDG3I1OraeSarp7pTpg7WnuZSSi4+TNTPuq9icVXO1GY92CWD7y334X7+m2FioORKTzkML9/H0skNEXs1GURR+DYul35wdrD4aZ0yg3zy9N4Naeld7aenrFVUF++t4/B2vJVOUXB9SicGKm70Vno5WKAqclbUkRD23ZG80ydkaAlxti92QsrZQM6aLPwA/7JFE+/pMq9Oz/pRhCtjNqoCVxtpCzdO9DKMrX2+/QGEdGaU7HpvOvV/uZvXRONRmKl4c0Iyfn+yKl1PNf066XRKsiFqpQKvjj2t3x0d3rrnE+uupVCrubX1tKpiJVgXbdjaJn6/Vlv90ZBscbzOp3d7KnOkDmrH95T6M7uyHmQo2hF/hnrk7GfT5Ll5ZdYL03EJCvB1ZXQ0J9OXVu5k7zrYWXM0qYO/FO8stCq+kletvJHkrQkBGXiHf7IgE4Pn+TUvcMR/bNQBzMxVh0Wmciqua8urC9O2LTCE1R4OLnSXdbiNvdUwXf1ztLIlNzau04is1Ra9X+HbnRR5csJdLKbn4Otuw8qmuPNevKeoanCZfGSRYEbXS5ogkUnM0eDpa0buUlWprStFUsK1nk8i6g6pZVSEtR8OrvxtKFU7oEUj3cs7tvRlPR2tmj2jN+ud7cXdzD7R6hbNXsowJ9H8/24O21ZRAXx6W5mbGBMw7WXMlLUdD3LVSzpU5snL98UrNWzl8GPbtMzwLUYct2h1FRl4hTT3sua9NyfWzPB2tjT/Li2V0pd76t2gKWEuv28qBtLU0Z1LR6Mq2C3c84l5TkrLyefyHg3yw9gxavcLgll6s/V9POga61HTXKoUEK6JWKqoCM7KDX7Umad9KiLcjjd3t0Gj1bDKxudRv/3WKpKwCmrjb8eqg5pV67GaeDiwe34nlk7rwbN+gGkmgL6+iqmAbTiWSqyklL6QcigIJfxfb2x6dKkuIt2GkptSRleHDoXt3w7MQdVRqjoZFuwyjKtMHNCvzrvCEHoZE+3+Ox5OUlV9t/ROmoVCnZ314xaqAlWZs1wCcbS2ISs5hTS0okHOjHeeuMmTeLnadT8bawozZI1ox/9H2ONnW/GyGymJ6nySEuIXY1Fx2XzBM4Xm4o2lMASuiUqkYZoJTwf4+Hs+aEwmozVTMebhtlVUC6d7EjZcGBtdIAn15tfdvgJ+LDTka3W0HlJW5GOSNikZWziRmSaUjUS99s+MiORodoT6ODAwtuwBIGz9n2vs7U6hT+Hm/lDGub/ZcSCY9txA3e0u6NLr9pQvsrcx58lqFuS+3XkBfS0ZXNFo9H6w9zeOLD5KcrSHY04F/nr3LWDWvLpFgRdQ6vx2KRVGgR5Ar/q6m96G4aCrYrvPJpOVoarg3kJiRz9t/ngLg2b5B1bauialSqVQ80NYwunK7VcGqKl8FIMDFFltLNQVaPVHJOZV+fCFMWVJmPkv3RQPw0j3BtyxJXzS68vOBS/VicT/xn6IqYINbet9xTsa47oE4WptzISmbddcS9k1ZdHIODy3cy7c7DSOQj3UN4K9ne9DUs/asnVIREqyImzoSk8YXW86XXka1Buj0Cr9eW8DpkU7+Ndyb0gV5ONDC2xGtXjEOUdcURVF4ZdUJMvIKaeXrxLN3B9Vof0zF8GtTwXaeTyY5u6DC+xcl9FZ2vgqAmZnKWMJYVrIX9c1X2y6QX6invb8zfYJvnY84qKUX3k7WJGdrWHM8oRp6KEyBRqtnQyVMASviaG1hDHy/3HrepEdXVh+9zNAvdnHicgZONhZ881gH3ru/Za1bO6UiJFgRZVp1+DKjvtnHnE3neOfanfmatvPcVRIz83G2teCeUNOtF140ulLTU8F+PhDDznNXsTQ3Y+6oNhWqQV+XNXG3p01DJ3R6hTUV/D/K1WiJvDbiURXTwK4/rlQEE/XJ5bRcfjlomM710sDgck1lsVCb8Vi3AMCQaH+rRWpF3bDr/FWy8rV4OFhVWhL5xB6NsLcy50xilsms36PV6bmQlM2aE/F8uuEsj36/nxdWHidHo6NzIxfWTet506mSdYV5TXdAmB5FUfh883nmbTlv3PbH0TjubePN3c1rNkAoSqwf0a4hVuamexdhWGsfPl5/ln2RKSRl5uNRA+vARCfnMOvf0wC8Oqg5QR51c3j4dt3fzpfjlzNYfSye8dfuqJXH6YQsFAXcHazwcKia/9ei8sXhEqyIeuSLLecp1Cn0CHKle5PyVysc3cmfL7acJzw+k7DoNDo3qhsVkETZiqqADWl151PAijjZWjC+eyBfbbvAl1vPMzDUs1pzP1KyCziTmMXphEzOJGZxJjGT81eyKdAWz100U8G0fs149u6gWl+SuLwkWBHFaLR6Xlt1wriGyeQ+TSjU6vl+dxRv/HGKjdNdKr36UXklZeWz5bRhscVRnUwrsf5Gfi62tPVz5lhsOmtPJlTow3Bl0OkVpv96jLxCHd0auzKhe2C1nr82uLe1D+//e5rjselEXs2msbt9ufaLqMLk+iLXly9WFKXOJUsKcaPIq9msOmL4u/PiPcEV2reBnSUPtGvILwdj+GFPlAQrdVx+4X/FUSpjCtj1Jt7ViMV7ogiPz2TrmST6taj8G7QFWh0XkrI5m5hVLDi5mlX6lGQbCzXBXg40v/boHuRGszqam1IWCVaEUUZuIc/8dJh9kSmozVS8f39LRnf2J79Qx5YzSUQl5zBrzWk+eqh1jfTvt0OX0eoV2vk7E+xl+j+ow9r4cCw2nX9OVH+w8s3OixyJScfBypxPH25zyyTV+sjdwYqeTd3YfvYqfx6LZ/qAZuXaz5hc71P5yfVFmnk6oDZTkZqj4UpmQa1eeViI8vh883l0eoV+zT1o79+gwvtP6BHILwdj2BCeSGxqLn4upld85UZ6vcKMf8IxU6l4594Q+T1dTjvPXSWrQIu3k/Vtfa/cjIudJY91C+CbHZF8seU8dzf3uOObRXkaHVvOXGFzxBUiEjKJvJqDtpScGJXKUGCluZcjwV4OtPB2oLmXI/4utvX+e0OCFQEYygFPWBLGhaRs7CzVzB/bwbjYorWFmo8ebM2ob/ex8lAs97bxpmfT6l2IMTw+gy+uTUt7tEtAtZ77dg1t5c37/0Zw+FIacel5+DrbVMt5I+IzmbvpHADv3hdabeetjR5o52sIVo7G8UL/puX6o3SqGkZWrC3UNHG349yVbCISMiRYEXXamcRM/rm2vsX0e8p30+BGzTwduCvIjd0Xklm2/xJvDGlRmV2sEj8fuMSP+y4BhqmfD5v4jAFT8e/J/6aAVcWH+Ek9G7N0bzTHL2ew83zybS08rdHq2XX+Kn8fj2dTxBVyNcUr1TnZWBhHSpp7O9Lcy4Fmng7YWcnH8tLIVREcj03niaVhJGdr8HK0ZvH4TiWqHHVu5MLj3QJZsjea11adZMMLvbCvph+qzPxCpvx8hAKtnj7B7oxoV3I1Y1Pk5WRN50AXDkSl8u+JeJ7q1aTKz1mg1TH912MU6hTuCfHkwfa141rVlHtCvLCzVBOTmsuRmHQ6BNz8Ll2hTs+5xGwAQqtwZAUMH17OXckmIj6zxnPFhKhKczaeQ1EMN3ju5OdqQo9Adl9IZsXBGJ7v3xRbS9P9iBOfnseH684Yv/5g3Wn6tfDA1d6qBntl+vILdWyuoilgRdzsrXi0SwCLdkcxb/M5ejV1K9eNLJ1e4UBUCv8cj2fdqUTScwuNr/m52DCstQ+dAl1o7u2Al6O1TO+tACkNVM9tDE9k1Lf7SM7W0MLbkT+n9iizHOsrg4Lxc7EhLj2PD9edrpb+KYrCS78e51JKLr7ONsx9uG2tGg4d1qZogcjqKak5d9N5ziRm4WpnyQcjWskvw1uwsVQzsKWhkkp51lw5fyUbjU6Pg7U5fi5VO2J1fd6K0enTkJFheBaiDjhxOZ2NEVcwU8ELA5re0bH6BnsQ6GpLZr7WmP9iihRF4e0/T5Gj0dHe35kW3o6k5xYy+7rgRZRu+9kkcjQ6fJ1taFuFa4Y93asxluZmHIlJZ+/FlDLbKYrC0Zg0Zv4TTrfZWxjz3QF+ORhLem4h7g5WTOgRyOop3dn5cl9eGdScvs098Haykb/NFSTBSj22eHcUT/90mPxCPb2bufPbM91uOt3E1tKcj0YY8lV+2h/Dvpv8AFeW73dFsTHiChZqFfMfbU8DO8sqP2dlGtzSC7WZipNxGVW+wF9YdCrf7LwIwOwRrXCTO3Tl8sC1kbo1J+LRaG++YnzRyvUh3o5V/scmxNtwh7lY+WIHB3B0NDwLUQd8utEwZfX+dr53XLHQzEzF+GvFRH7YE2Wya2WsOZHAljNJWKhVfPRga2Y90BKVCn4/fJn9kVX/d7U2++daFbB7W3tX6e9gD0drRl+blvfFdZVRi5xNzOKTDWfo/cl2Hpi/lx/2RJOUVYCTjQWPdPJj+ZNd2P96P94dFko7/wYSnNwhCVbqIZ1eYcbf4fzfmggUBcZ08WfR4x3LNa2re5AbY7oYFmN8ddUJcjVVt1hkWHQqH6433Gl6596QWrnyuqu9FT2CDCU4K7qeR0XkFGh58dfjKAo81KEh99SDuuuVpXsTN9wdrEjLLWTnuas3bVuVK9ffqIW34YNbdEquySzKKkRlOhiVys5zVzE3U/F8v9vLVbnRQx39cLAyJ/JqDjvP3/znuSak5WiY8Xc4AFP7BtHU04H2/g0Y09nwd/XN1Scp0Opudoh6K1ejZeu1iqBDq2gK2PWe6dMES7UZB6JSORCZQkxKLl9tPc/AuTsZ+PlOvt52kZjUXGwt1Qxv68OixzsS9mZ/PnywNd2D3OpNWeHqIMFKPZOr0fL0ssMs2RsNwOuDmzPr/paYV2CxwNcHN8fHyZqY1Fw+2XC2Svp5NauAqT8fQadXuK+ND2O71o6k+tIMu/ZLtSiBtCrMWnuamFTDVLl3hoVU2XnqIrWZiuHXpuutPnbzqSPh1ZBcX8TV3gqva+vznJGV7EUdoygKn240/P14uJMf/q6VU73L3sqckR0Nd8R/2BNdKcesTLPWniYlR0NTD3sm9/kvj/GVQc1xs7fi4tUcvt0RWYM9NF1bzySRV6jD38WWVtVww8jbyYaRHRsC8MTSQ/T6ZBufbjzH2StZWKrNGBDiyZej23Horf7Me6Qd/Vp4YmkuH6urglzVeiQpK59Hvt3P5tNXsDQ34+sx7Xm6d5MKD086WFsw+0HDdLAle6M5FJ1aqf3U6RX+98tRkrIKCPKwZ3Ytz724J9QLS7UZ564Y6qpXto3hiSw/YFgs85ORrWtsHZza7P5rU8E2R1whM7+w1DZ6vWKcklXVyfVFSuStzJkDM2YYnoWoxXZfSOZgVCqW5mY8d3dQpR57fPdAVCrYce4qF5KyK/XYd2L3+WR+P3wZlQo+fLB1sYWNnWwsePteQwWzL7ddILqKpw3XRkULQQ6t4ilg15vcpwkWahXZBVrMVHBXkBsfP9iasLf68924jgxr42PShRzqCglW6olzV7J44Ou9nLicQQNbC36Z1OWOhlF7N3NnZIeGKAq88vsJ8gsrb9h67qZz7ItMwdZSzcKx7Wt9KT8nGwt6BxtKH/5TyVPB1p5MYOryIwBM7NGoQqs+i/+E+jjS1MOeAu3/s3ff8U2V3wPHP0lHOugu3YO9WvbeS7ZMB4rCDwfKcCC4UL9uxYk4QFDEwVBUNiKy9957lELppIvupm2S+/sjbaR2UKBp0/a8X6++Sm9ubp7clvae+zznHAMbTscVu09EchaZuXo01mrq13askHEVdLI35a3MmgXvvCPBioVSFIXtF+I5EnGjsodi0RRF4bP8WflHOwbj61K+xSqCPBy4J7+Z3097r5Trse9Udq6eGStPAjCuU3CxlQeHtfSjWwNPcnUG/rf6NIpimTk3lSEjR8fW88YlYOaqAlacADcHfn6sAx+ObM6B1+5h8ZMdebB9IC72clOwIkmwUgPsDUvkvm/3Ep2STV1PR1ZO7krb4Lvv8PvGvc3wdtYQnphp6utxt7aev84328IAY5L43SZcWgpTVbCTMeX2B2jJgQimLD1Knl5hSHNfXh3UpFyOWxOpVCrT7EpJVcEKloA18XG6rWWTd6PYimDCIl1JzGTsDwcZ/+Mh7p+3l0X7rlb2kCzW5nPxnIhKxd7GqtBSqPL0WNc6ACw/Ek1qVvGzpRXpi80XiUzOxs/FjpcGFv+7WqUyNmO2tVaz61KiKZlcwJZz18nRGajr6Wi6iVNRCnJ1aztJ0ZrKIsFKNffnkSjGLTxIulZH+zpurJjUhTqe5XNX2MXehg9HNgfg+13hHLt2d3cTI5OzeGHZCQDGdQ5meKvq0yPknqZe2NtYEZGUxano1Ls6lqIozNkWxusrT5sKJHz1cGtZK3uXhrcyBpT7wpOITc0u8vjp6PwlYBWwVrpAwR/l83Hp6PSlVyoTlSNHp2f25osMmL2T3WGJqFWgKPC/1Wf49J/zVf7u+N+nYnlw3j5m/n2Ok1Epd/1+DAaFz/NzVR7rWsdsF4Cd63nQxMeJ7Dw9yw5fM8trlNXJqBQW7DLmobw/MrTUYjZ1PB15prdxWdy7a8+Sml35gZYlWFewBKx5xS0BE5ajaq+vESZ5egM3MnNJzMglOTOXpMwcjl1LMSXSD23px6f3t8DOxqr0A92mvk29GdHKj1XHY3j5z5Ose65boXW4ZZWj0zNl6VFSs/NoGejK60Msv/vw7XCwtaZvUy/WnYxl7YkYWgS43tFxDAaF9/86x8I9xqUNz/ZpwLR+jeSXdzkIcHOgQ113Dl5JZs3xGJ7uWfiOb0Um1xcIcnfA0daKzFw94YmZlE+9pFszGBSSMnOJS9USm5pNXJqW2FTtv1+narmelkNzfxc+f7Alge7lkxxd1ewJS+R/q04Tnp9f0L2hJ+8ND2XNiRhmbbrInG2XuZ6Ww8xRzbGpoNm48mIwKMzadNE0033wajLzd4QT4GbP4Oa+DG7uS8sAl9v+3fPXqVjOx6XjpLHmqR71zDF0wDhL8XjXury8/CQ/743g8a51K2xG9GZ5egOvLD+FQTEu8ypLg9ene9Zj1fFowhMy+eyfC7w3IrQCRmq50rV57LhgrOx2b8uKWwImLIcEKxZKb1C4kZVLUkYuSRk5JGUaPydn5pKYmUtyhjEgScrIJSkzt9S7L5N71efF/o3N1kzxraEh7A5L4lJ8Bl9vCePFAY1v+xjvrTvLyahUXB1smDOm9R0FPJZuaEs/1p2MZd3JWGYManrb3488vYGX/zzJyvxlSv+7txlPdKtrjqHWWCNb+3PwSjIrj0UXClYUpeKT68HYN6KprzOHI25wNiat3IKV+HQt0Tey84MP7U3BSDaxqVqup2nJ09/6DvrBq8nc+/Vuvnq4NT0b1S6n0Vm+hPQcPvjrLKuOG3PQajtpeGtoM9Nd3+f6NsTLScPrq07z55EoEjNymDOm6uTfpWnzeOG342zJzxF4qH0g6VpjzkDUjWy+2xnOdzvD8Xe1Z3BzHwY396VVoOstAxed3mBaMjyhRz1cHczbN2tYKz8+2nCe6JRsNp29zqDmFX+h+/2ucM7FpuHqYFPmSo0aayveHxHKmO8PsPhABPe1DTBrA0RLt+nsdXL1BurXdqSxd/VYGi5uT9X4zVmDHL12g7nbwth2IQH9bTa0UqvA3dEWD0cN7o62uNeyZXCor9nrkbs52vL+iBAmLj7KtzsuMzDU57b6UKw6Fs3i/cZp+i9GtyLArXrepe3ZqDZOGmtiU7UcuXaD9nXKnjeUnWucedp6Ph4rtYpP72/BqDYBZhxtzTQ41Je3Vp/hfFw652LTaJq/DOt6mvGGgZVaRROfiv1j2czPGKyciUllxF0eKzU7j9dXnjItqSiNSgVeThp8XOzxcdbg62KPj4sdvi52+Djb4WBrzRurT3MiMoXxPx5ker9GTO7VwGw3RSyBwaDw66FrfPz3edK0OlQqY7L09AGNi1The6iDcY37lKVH2X4hgYe/38/C8e0tvllreEIGE345zOWETGyt1Xx8X3NGtjb+rsnO1bPtQjzrT8Wy9Xw80SnZfL/rCt/vuoK/qz2DQn0Y3MKX1iUELiuORROemImbgw2PV8CNFjsbK8Z0COKbbWH8uOdqhQcrVxIzmb3Z2FDwf0Oa3db3vkt9T0a18WfF0WheW3GKNc90rZSZIUvwl6kRpJ+sIqihJFixAIqisPdyEnO2hbH3P13h3RxsjAFILQ2etWxNwYhHrZs/Gx93tbeptAuFgaG+DGnuy1+nYnnxjxOseaZbmXIoLl1PZ8aKU4BxSVPvxl7mHmqlsbOxon+ID8uPRrH2REyZg5XU7Dye/PkQh67eQGOt5ttH25RpKYG4fS4ONvRp4sWGM3GsOh5tClYKloA1qF2r3JdS3oqpIthdJtkfvprM878dJzolG5UK/PKDDx8XO3yd8z/fFJDUdtLccunS70934u01Z/n14DU+23iRE1GpfP5gywotn309Tcu32y+TrtXRo5EnPRvVNssd+7Mxaby+6hTHrqUAEOrvzIcjm5e6pLNvU29+ndCJx386xMmoVO77di+/PN6BYI+KqSZ3u7ZdiOe5X4+RrtXh42zH/LFtCzXjtbe1Mi0By87Vs+NiPH+dimPLuetEp2SzYPcVFuy+gp+LnfFvQgsfWge6oVaryNUZ+DL/wn1Sr/plakJcHsZ2DmbejsscvJrM6ejUCmnoCsbA9tXlJ8nVGeje0Bh43K7XBzdly7l4zsam8dPeqzzZ3XzL5ixVanaeqblnRVYBE5ZFgpVKpCgKW87F8822MI5HpgBgrTZWJZrQvR71aztWqTsp7wwPYV94Eufj0vl2+2Wev6dhqftn5OiYuPgI2Xl6ujbwYOo9FbUiv/IMbenL8qNRrD8Vy5v3Nrvl9zc+Tcu4hQeNa7ztrFk4vv1tzciI2zeitT8bzsSx+lgMrwxoglqt+je5vgLzVQoULDs7G5OGAtzu7Qid3sA328L4asslDAoEezjw5UOty2VZicbaipmjmtMywIU3V59h09nrDP9mD/PHtqWRmZdr5OkN/LTnKrM3XyQz11g6ffnRKNQqaBvsRu8mXvRp4kVjb6e7uhubmaNj9uaLLNxzFb1BoZbGmun9GzGuc50ydahuHeTG8kldGLfwIBFJWYyau5cfH2t/x3lr5qAoCvN3hvPxhvMoivH8fftoG7yc7Ep8jr2tFQNDfRkY6os2T8/2CwmsPxXLlnPXiUnVsnDPFRbuuYKvix0DQ32wsVITnZKNl5OGsZ3qVNh783a2Y0gLX1Yfj2HhnivMerBVhbzu74cjOXAlGXsbKz4ceWe9wjxqaZgxqAmvrjjFrE0XGdzcFz/X8i3zbOk2nokjT6/Q2NuJhrIErMaSYKUS6A0Kf52KZe62MM7nNwm0tVbzUPtAnupRr8oug/KspeHtYSE89+sxvtl2iQGh3jTxKf7iTlEUZqw4xeWETLydNXz5UOsy/eGv6ro28MTNwYbEjFz2hyfTrWHJfVEikoylUK8lZ1HbScMvj3cw3ekX5tO7SW2c7ayJS9Oy/0oSXep7mmZWmlVCsNLQuxZWahU3svIwKAq3M68TnZLN1N+OceiqsVLfqDb+vDu89GpEd+KhDkE09XVm0uIjXEnMZMScPXxyfwvubeFXrq9TYO/lRN5afYZL+Q3/Wge50qGOO9svJHDhejqHrt7g0NUbfLLhAv6u9vRqXJs+TbzoUt8Te9uyn8F/zsTx9pozxKZqAWMlov/d2wwfl5Iv4otTr3YtVkzuwmM/HuJMTBoPfbefuY+0oZcFzCRn5+p5ZflJ1uT3gHqofSDvDA+5rbxBOxsrBob6MDDUB22enh0XE/j7VCybz8UTm6ot1En+mT4Nbut7UB4e61qX1cdjWHfCmC9o7hK08WlaPlh/DoDp/RvdVQGKB9sF8ueRKA5H3ODtNWf4bly78hpmlfDXqX8bQYqaS4KVCpSrM7DyWBTfbr/M1aQsABxtrXi0czBPdKtb6l2sqmJoC1/Wnohh09nrvPTHSVZO7lLs7MGi/RGsPRGDtVrFnDFtLH4dd3mxsVIzqLkvSw9cY+2JmBKDlbMxaYxbeJDEjByC3B1Y9ITlLh2pbjTWVgxp4cevB6+x6lh0frBS8cn1BexsrGhQuxYXrqeT3DiU2kFBUPvWyezrT8Xy6vKTpGl11NJY88HIULOWA28Z6MraZ7vx3G/H2BOWxDNLj3EiMoVXBjYptxniuFTjRWBBc1V3R1teHdSE+9sEoFarmDG4KVE3sth2IYFt5+PZE5ZIdEo2Sw5cY8mBa2is1XSu70GfJl70buxV4kVk1I0s3l5zls3nrgMQ6G7Pu8NC6d3kzoMLLyc7lj3dmUmLj7DrUiJP/nyYj+5rwf1tKy/3LDolm6d+OcyZmDSs1SreGtqMRzsF39VMlJ2NFQNCfBgQYgxcdl1KZP2pWDafvU6guwOj2weW4zsom1aBrrQOcuXYtRSWHIgw+yz+W2vOkK7V0TLAhce63l1ujlqt4sNRzRn85S42nr3OprPX6desZiwDvpGZy+5LiYAEKzWdSqnqReDzpaWl4eLiQmpqKs7OlnX3OTtXz2+HrvHdznDTHTpXBxse61KX8V3q4OJQvTqhxqdp6ffFTlKz83h5YGMm92pQ6PHjkSk8MG8veXqFN4Y0rXHrcPddTuLh7/fjbGfN4Tf6FcntOXQ1mcd/OkS6VkcTHyd+ebwDXs5VP5CtSg5eSebB+ftw0lizeXpPOn64BYATb/WvlM7FLyw7zspj0Uzv14hn+5a+vDIrV8c7a86y7HAkYAwivn6oNUEeFTNjq9Mb+HTjBebvMPaV6FTPnW/u8oZEnt7Aj3uu8OXmS2Tm6lGr4NFOwUzv17jU35/aPD37Liex9Xy8KSH8Zg29ahkDlyZepo7iC3dfYfbmS2Tn6bGxUvFUj3o807thuc0G5OoMvLL836p+Lw1ozORe9Ss8cfhAeBKTlxwlKTMXd0db5j7Shk71PMz2egWXGpWVIL32RAzP/noMz1oa9rza22wVJzecjmPi4iNYq1WseaZbuc3GfrzhPN9uv4yfix2bpvWsMpXl7sayQ9d4Zfkpmvo68/fz3St7OMIMynrtXv1/2itRmjaPRfsiWLj7CkmZuYCxus6E7vUY0zGo2v6y8XK24817mzH9jxPM3nSJ/s28TZ3ob2TmMmWJsev6oFCfGll6t0Ndd7ycNMSn57DrUgJ9m/57l2zLuetMXnKUHJ2B9nXcWPB/7Svl4rimaxfshr+rPdEp2Xy1xZgUHOTuUGnfi2a+zqw8Fn3LJPvT0ak899sxwhMyUamMZcun3tOoQnt8WFupmTGoKa0CXHnxjxPsD09m6Ne7mftIG1oHud328faGJfLmmjOE5S/5ahPkyrvDQ8uUKG1nY0Xv/GDkXUXhUnyGKXA5EnGDS/EZXIrPYP7OcJzsrHFzsOVasnHWu0Mddz4YGVru6+RtrdV8/kBLvJw1zN8Rzqf/XCAuVcvbw0IqbCns4v0RvL3mDDqDQjNfZ74b19bsy48ru4rTwFAffJztiEvTsu5ELPeZYUYrNTuPN1efBoy9Uspz2ehzfRqy9kQMUTey+XLLJV4bXL16kRVnnakKmMyq1HRVJ3u7CknOzOWzfy7Q9aOtfPrPBZIycwlws+f9EaHsfLk3E3rUq7aBSoFRbfzp3bg2uXoDL/15Er1BwWBQmLrMWI2orqcjn9zfotL/gFUGK7XKNKVdsJwFYPmRKJ5adIQcnYG+Tbz45fGOEqhUErVaxYjWxnyL3w4ZZygqI7m+QMFFT0nBisGgsGBXOKPm7iU8Pw9syZMdeWlAk0prRjiouS+rn+lKvdqOxKZqGT1/P0sPXCtzB/S4VC3PLD3KmAUHCIvPwMPRlk/vb8GfE7vcUUUnlUpFI28nJvasz+9Pd+boG/34+uHWjGrtj7ujLelaHdeSs3BzsOHT+1uw7OlOZkvoVatVzBjUlLeGNkOlMi6LnbLkKNo8vVler0CuzsCMFad4Y9VpdAaFe1v4snxSlyqbJ3k7bKzUjO0cDMCPe6+U+efwdnz093ni03Oo5+nIs31KnwG9Xfa2Vrw33Ngc8ofdV0x9n6qrpIwcU3VUCVZE9b5irmDX07TM3xHOrwevkZ3/R6eBVy0m96rPsJZ+Vaqy191SqYzrbPvP2smxayn8uOdKfqnLBDTWauY+0ganCixvammGtvTjxz1X2XT2Otm5epYevMZ7684CMKq1Px/f36LKdbyubka08mfOtsumfkeVGawUFFaISMoiXZtX6P9OQnoOL/5xgh0XjeU9+zXz5pP7WuDmaN6Ge2XRwMuJ1VO68uIfJ/jnzHVeW3mK45E3eHd4aIkloHN1BhbuucJXWy6Rlb/ka2ynYKbdYsnX7XJxsGFoSz+GtvRDb1A4EZXC1cRMejX2wr2Czt1jXetS20nDtGUn2HAmjnE/HOT7ce3MsjQ4IT2HSYuPcDjiBiqVcfnZpJ4Vv/ysMo3pEMRXWy5xOjqNwxG31+vqVvaHJ/HrQWO/sJmjmpulxHnvJl4Mbu7D+lNxvL7qFMsndqm2fY02nIlDb1Bo7u8i+ZpCZlbK08Xr6Szcc4XsPD3N/V2Y92gbNk7twag2ATUqUCng62LP60OMU9Wf/HOBWZuNnYvfHxFa46tatQ50xd/VnsxcPU/8fMgUqDzetS6fPdBSAhUL0NDbiVD/f39OKyO5voC7oy2+LnZ8v/xdVF26wLBhAOy4mMCgL3eabgK8NyKU78a2tYhApYCTnQ3zHm3LKwOboFbB74ejeHD+PqJuZBXZd09YIoO+3MlHf58nK1dP22A31j7bjXeGh5o1t89KraJNkBuj2gRUWKBS4N4Wfvz8eAec7Kw5eDWZ++ftJeY/uTV362RUCsO+2c3hiBs4aaxZ+H/tmdyrQY0KVMDYwLig38k3W8NIzMgpl+Nq8/SmfmFjOgbR0Yy5P2/eG0ItjTXHrqWwND84qm5Ss/JYfiQKkMR6YSRXROWoWwNPHu0UxM+Pd2DNM10ZGOpbbe96lNXo9oF0a+BJrs6AohjLYj7QruKrwVgalUrF0JbGZUYFU90vDWjM/+5tWuN/ZizJiJuqZ1XmzAoY81ZC4y5T69hhlKNHeX/dWf5v4UESM3Jp7O3Emme6MfYuKzmZi0qlYlKv+vzyeEfcHGw4GZXK0K93myr9xKZmM2XpUR5ZcIDLCZl4ONry2QMt+ePpzpUaJFaUzvU9+GNiZ7ydNVyKz2DU3L1cyC9rf7dWHYvmgXn7iE3VUq+2I6ue6XpXVc2quvFdjHmSOy4m0P6DzQz7Zjefb7zA4avJ6PSGOzrm11svcSUxEy8nDa8OalKewy3Cx8WO6f2N1cw+3nCehPTyCbgqW67OwMYzcUxcdIT2H2zm6LUUVCpjuXAhpBqYMLuoG1mMmLOXIHd7lk7oVOEdwC3V2Zg0Bn+1C5XKONv0SMfgyh6S+I+E9Bz6f7EDfzd71j1budVoPt94gTH3dcU3I4lEl9q0m/gjAOM6B/Pa4KZV5v9V1I0sJi0+yqnoVNQqGN7Kn3/OxJmWfI3rXIcX+jWqkfla0SnZjF94kEvxGTjaWlHfqxYqlQorFahVKtRqFWqVcSZIrVKV+Jhxu4rMHB1bzscD0KeJF7MfaoVzDV5+W+DPI1Es3H2lSA6Yk5013Rt60rNRbXo0qo2vy60bMJ6NSWPYN7vRGRTmj23LgBAfcw3bRG9QGDFnD6eiUxneyo8vH2pt9tc0B0VROBaZwsqj0aw7GcONrDzTY018nHimTwOz9WoSlqGs1+4SrIgKodMbjH9AZdagkA2nY3FzsDXrsgFxd25k5mJrra70ohh/n4qlVZfm+GYkEVvLg8EvLeWT+1tWyZ4L2jw9/1t1mj/yl3qAsQLbO8NDasRMSmlSsnKZ8MthUyPP8jC5V32m928sv3//Iz5Ny85Liey4mMCuSwmk3HSxDMYL5p6NatOzUW3a1nErUu5Yb1AYOXcPJ6NSGRTqw7ePtq2wsZ+KSmX4nN0YFFj0RAe6N7x17yVLcS0pi5XHoll1PJoriZmm7V5OGka09mdka/8av1S8ppBgRQghqpHI5Cysg4PwzUgiybU2eVev3XYndUuiKArLDkXy55EoHu4QxKg2/ha5hK0y5OkNHIm4QXau3lhJUSn4oPDXBtArxkqLBsX4b0VR8vcxVolrHuBi1v4p1YXeoHAyKoUdFxPYfiGBE1Ep3Hx15GBrRZf6HvnBixdBHg4s2BXO+3+dw8nOmi3TelZ4P6y315zhp71XqePhwIapPSx6djU1K4+/TsWy8lhUoUDc3saKgaE+jGrjT5f6nhJQ1zASrAghRDWT6eWLY0Icir8/qqioWz9BCHFHbmTmsisskR0XEthxMaFIMn5dT0diU7PR5hn4aFRzHuoQVOFjTNfmcc+sHVxPy+G5vg2Z1q9RhY+hNLk6A9svxLPyWDRbzsWTm58TpFZB1waejGztz4AQn0qftRaVp0o2hZw7dy6ffvopsbGxhISEMHv2bLp3l66lQggB4JjfRV3uPQphXm6Otgxr6cewln4YDArn4tLYcTGBHRcSOBJxw7R8qXM9D0a3r5yiMU52Nrw1NITJS44yb/tl0rV5ONhaYW9jhZ2NFfa2VthZGz8X2majxt4mf1v+Y6VVoFRumtXTGxT0+bN3hT4UBb3e+DkxI4c1x2OKzUMZ1caf4a388a7gWShRtVlMsLJs2TKmTp3K3Llz6dq1K/Pnz2fQoEGcPXuWoKCKv2MhhBBCCKFWqwjxcyHEz4XJvRqQps1jb1gS5+PSGNMxqFKXLw4K9aFX49psv5DAj3uu3vFxrNQq7G2ssFKrigYhhjtfgOPlpGF4Kz9Gtg4wNbcV4nZZzDKwjh070qZNG7799lvTtqZNmzJixAhmzpx5y+fLMjAhRLUXEADR0eDvD7IMTAgBJGfmsuxQJGnaPLJz9WjzjB/ZeXqy8wxocwv+rSc7V0+Ozvg5O0/PXcQhJtZqY/Gcgg+NtRXdGxqXeXVtIHkoomRVahlYbm4uR44c4dVXXy20vX///uzdu7fY5+Tk5JCT8+8a0tTUVMD4xoUQoloyGP79LL/rhBAYL+QeaXP71cAURSFXb0CbazAGNzo9eoMBK7Ua6/xy2Nb5ZbKt1P9+bQpM8vcpTWZG+fQLEtVTwTX7reZNLCJYSUxMRK/X4+1duASnt7c3cXFxxT5n5syZvPPOO0W2BwZKw0EhRDUXGwsuNbvErxBCiOohPT0dl1L+pllEsFLgv+s+FUUpcS3ojBkzmDZtmulrg8FAcnIyHh4ed7R+NC0tjcDAQCIjI2UZmRnI+TUfObfmJefXfOTcmpecX/OS82s+cm7Ny1LOr6IopKen4+dXevNPiwhWPD09sbKyKjKLEh8fX2S2pYBGo0Gj0RTa5urqetdjcXZ2lv8YZiTn13zk3JqXnF/zkXNrXnJ+zUvOr/nIuTUvSzi/pc2oFCi5Vl0FsrW1pW3btmzatKnQ9k2bNtGlS5dKGpUQQgghhBCiMlnEzArAtGnTGDt2LO3ataNz58589913XLt2jYkTJ1b20IQQQgghhBCVwGKCldGjR5OUlMS7775LbGwsoaGhrF+/nuDg4Ap5fY1Gw1tvvVVkaZkoH3J+zUfOrXnJ+TUfObfmJefXvOT8mo+cW/OqaufXYvqsCCGEEEIIIcTNLCJnRQghhBBCCCH+S4IVIYQQQgghhEWSYEUIIYQQQghhkSRYEUIIIYQQQlgkCVaEEEIIIYQQFkmCFSGEEEIIIYRFkmBFCCGEEEIIYZEkWBFCCCGEEEJYJAlWhBBCCCGEEBZJghUhhBBCCCGERZJgRQghLNDbb7+NSqUiMTGx2MdDQ0Pp1auX6evIyEgmT55Mo0aNsLe3x93dnebNmzNhwgQiIyOLPH/37t08/PDDBAUFodFocHR0JCQkhOnTp3P+/PlC+yqKwm+//Ub37t3x8vLCzs6OgIAABgwYwIIFC8r8njZv3kznzp1xcHDA09OT8ePHEx8fX2S/sLAwxo4dS1BQEPb29tSvX59p06aRlJRUZN/w8HBGjRqFq6srtWrVol+/fhw9erTIfnXq1EGlUhX5mDhxYqH9xo8fX+x+BR/79+8v9r0pikKPHj1QqVQ888wzpZ6Hs2fPotFoUKlUHD58uNBjP/30U4mvHRcXV+pxhRCiOrKu7AEIIYS4O1FRUbRp0wZXV1emT59O48aNSU1N5ezZs/z++++Eh4cTGBho2v+NN97ggw8+oHPnzrzxxhs0bNgQnU7HyZMn+fnnn5k1axY6nQ4rKysAZsyYwccff8yECRN46aWXcHJyIiIigq1bt7J69WqefPLJW45xx44dDBo0iCFDhrB69Wri4+N55ZVX6Nu3L4cPH0aj0QCQkJBAp06dcHZ25r333iMoKIhjx47x1ltvsW3bNo4cOYJarTbt2717d9zc3Fi4cCF2dnbMnDmTXr16cejQIRo3blxoDF27duWzzz4rtM3b27vQ1//73/+KBDAAQ4cORaPR0L59+2Lf35w5cwgLC7vledDr9Tz++ON4enoSExNT4n4//vgjTZo0KbTNw8PjlscXQohqRxFCCGFx3nrrLQVQEhISin08JCRE6dmzp6IoivLmm28qgBIeHl7svnq93vTvpUuXKoAyceJExWAwFNnXYDAo33zzjaLT6RRFUZSsrCxFo9Eo48aNu+WxS9O+fXulWbNmSl5enmnbnj17FECZO3euadv333+vAMrmzZsLPf/DDz9UAOXo0aOmbS+99JJiY2OjXL161bQtNTVV8fT0VB588MFCzw8ODlaGDBlSprH+1/bt2xVAeeONN4p9/MqVK0qtWrWUFStWKIAyZcqUEo/16aefKv7+/sqXX36pAMqhQ4cKPf7jjz8Wu10IIWoqWQYmhBBVXFJSEmq1Gi8vr2IfL5iJAHj//ffx9PTkiy++QKVSFdlXpVIxZcoU06xKZmYmOTk5+Pr63vLYJYmOjubQoUOMHTsWa+t/J/S7dOlCo0aNWLlypWmbjY0NAC4uLoWO4erqCoCdnZ1p28qVK+nTpw/BwcGmbc7OzowaNYq1a9ei0+luObay+OGHH1CpVDz++OPFPv7UU0/Rr18/Ro4cWepxLl26xJtvvsncuXNxdnYul7EJIUR1J8GKEEJUcZ07d8ZgMDBq1Cj++ecf0tLSit0vJiaGs2fP0q9fv0IX/aXx9PSkQYMGzJ07l1mzZnH+/HkURbmt8Z0+fRqAFi1aFHmsRYsWpscBRowYQVBQENOnT+fMmTNkZGSwc+dOPvroI4YOHUrTpk0ByM7O5vLlyyUeMzs7m/Dw8ELbd+7ciZOTEzY2NjRr1ozPP/8cvV5f6thTU1P5888/6du3L3Xr1i3y+IIFCzh48CDffPNNqcdRFIUnn3ySe++9l2HDhpW6L8C9996LlZUV7u7ujBo1qtA5EkKImkSCFSGEqOLGjBnD008/zebNmxk4cCCurq40a9aMadOmcfXqVdN+BYn2N89EFNDr9eh0OtPHzQHJ0qVLcXNzY/r06TRt2hQXFxeGDh3KokWLyhS4FCTGu7u7F3nM3d29UOK8i4sL+/fvJy8vj9DQUJycnOjZsycdO3bkjz/+MO1348YNFEUp8Zg3vy7AkCFD+PLLL/nrr7/4888/adOmDS+++CLjx48vdey//vor2dnZPPHEE0Uei46O5sUXX+STTz7Bz8+v1OPMmTOHU6dO8fXXX5e6n4+PD6+//joLFixg27ZtvPfeexw6dIhOnTpx4sSJUp8rhBDVkQQrQghRxalUKubNm0d4eDhz587lscceIy8vjy+++IKQkBB27Nhxy2N4eHhgY2Nj+li+fLnpsfbt2xMWFsaGDRt47bXX6Ny5M1u2bGHcuHEMGzbMFLD8N+AxGAxFxlnS+AvcuHGD4cOHk5aWxpIlS9i5cydz585l9+7dDBs2rMjSrpKO+d/H5syZw2OPPUaPHj0YPnw4ixcv5plnnmHx4sUcO3asxGP88MMPeHh4FLvEa+LEibRs2ZIJEyaU+HyAiIgIZsyYwaefflokof+/Bg4cyPvvv8+9995Ljx49mDJlCrt27UKlUvHmm2+W+lwhhKiOJFgRQggLVJDbUdIyJZ1OZ8rvKBAcHMykSZP44YcfuHTpEsuWLUOr1fLSSy8BmCqCRUREFDne9u3bOXToEPPmzSv29WxsbBgwYAAffPAB//zzD5GRkfTq1Yt169bx999/A9C3b99CAU9BjkdBFaviSg8nJycXmh35+OOPOX78OJs2bWLMmDF0796dSZMmsWTJEjZu3MiSJUsAcHNzQ6VSlXhMKH4m52aPPvooQInliE+ePMnhw4d59NFHTdXKCvz5559s2LCBTz75hNTUVFJSUkhJSQEgNzeXlJQU8vLyAJgyZQqhoaHcd999pv2ysrIAyMjIIDU1tdRx1qlTh27dupU4TiGEqM6kdLEQQliggjvw0dHRRe7GK4pCbGws7dq1K/UYDz74IDNnzjTlO/j5+RESEsKmTZvQarWF8lZatWoFGC+ey8LDw4OpU6eyfft2Tp8+zeDBg5k/fz7p6emmfTw9PQFjTxiAU6dOMXjw4ELHOXXqlOlxgOPHj+Pv718kob+gZHDBe7G3t6dBgwacOnWqyNhOnTqFvb099erVK/U9FMwIlVQk4IcffgAotjTz6dOn0el0dOrUqchj33//Pd9//z0rV65kxIgRnD59moiICNzc3Irs27t3b1xcXEyBTmljLUsxAyGEqG4kWBFCCAvUp08fVCoVy5Yto02bNoUe27BhA2lpadxzzz0AxMbGFlutKyMjg8jIyEL5FK+//jpjxoxh2rRpzJkzp9RlVAB5eXmkpaUV2+Pj3LlzAKbj/7evSQF/f386dOjA4sWLefHFF02Vxvbv38+FCxeYOnWqaV8/Pz+2bNlCdHQ0/v7+pu379u0DICAgwLRt5MiRzJ49m8jISNOsUXp6OitWrGDYsGGFKo8V55dffgEoNuDIyclh8eLFdOjQoVAwVWD8+PGFmnIW6N27NyNGjOD55583Pe+3335Dq9UW2m/Dhg18/PHHzJs3j5CQkFLHeeXKFfbs2WP6fgshRE0iwYoQQlig+vXr88wzz/Dpp5+SkpLC4MGDsbe359ChQ3z00Ue0a9eOMWPGAPDBBx+wZ88eRo8eTatWrbC3t+fKlSt88803JCUl8emnn5qO+/DDD3PmzBk++OADTpw4wfjx42nYsCEGg4HIyEgWLVoEgJOTE2CshlWnTh0eeOAB7rnnHgIDA8nIyGD79u18+eWXNG3alFGjRt3y/Xz88cf069ePBx54gMmTJxMfH8+rr75KaGgojz32mGm/KVOmsGTJEvr168err75KYGAgp0+f5v3338fb25tHHnnEtO+LL77IokWLGDJkCO+++y4ajYaPPvoIrVbL22+/bdpv6dKlrFixgiFDhhAcHExKSgp//PEHv/32G+PHj6dly5ZFxrtq1SqSk5NLbHhZp04d6tSpU+xj/v7+hQKZ4oKhgsIHbdu2LTRDds8999CjRw9atGiBs7Mzp06d4pNPPkGlUvHee+8V+3pCCFGtVVqHFyGEEKUyGAzKt99+q7Rr105xcHBQbG1tlYYNGyqvvPKKkp6ebtpv//79ypQpU5SWLVsq7u7uipWVlVK7dm1l4MCByvr164s99s6dO5XRo0crAQEBio2NjeLg4KA0a9ZMmTRpknL48GHTfjk5Ocpnn32mDBo0SAkKClI0Go1iZ2enNG3aVHn55ZeVpKSkMr+fjRs3Kp06dVLs7OwUd3d3Zdy4ccr169eL7Hf06FFl5MiRSkBAgKLRaJR69eopTz75pHLt2rUi+4aFhSkjRoxQnJ2dFQcHB6Vv377KkSNHCu2zb98+pW/fvoqPj4/pvbZv316ZO3duiU0t+/Xrpzg6OippaWllfn+KotyyKWSBkpo/Tp06VWnWrJni5OSkWFtbK35+fsqjjz6qXLhw4bbGIYQQ1YVKUW6zYL4QQgghhBBCVADJ1hNCCCGEEEJYJAlWhBBCCCGEEBZJghUhhBBCCCGERZJgRQghhBBCCGGRJFgRQgghhBBCWCQJVoQQQgghhBAWqdo0hTQYDMTExODk5HTLjsxCCCGEEEKIyqMoCunp6fj5+aFWlzx/Um2ClZiYGAIDAyt7GEIIIYQQQogyioyMJCAgoMTHq02w4uTkBBjfsLOzcyWPRghRbfz4I2RmgqMjPPZYZY9GCCGEqBbS0tIIDAw0XcOXpNoEKwVLv5ydnSVYEUKUn+efr+wRCCGEENXWrdI3JMFeCCGEEEIIYZEkWBFCCCGEEEJYpGqzDEwIIcwiNhb0erCyAl/fyh6NEEIIUaPIzIoQQpSmfXsIDDR+FkIIIUSFkmBFCCGEEEIIYZEkWBFCCCGEEEJYJAlWhBBCCCGEEBZJghUhhBBCCCGERZJgRQghhBBCCGGRJFgRQgghhBBCWCQJVoQQQgghhBAWSYIVIYQQQgghhEWSYEUIIYQQQghhkawrewBCCGHRtmwBnQ6s5delEEIIUdHkr68QQpSmcePKHoEQQghRY8kyMCGEEEIIIYRFkmBFCCGEEEIIYZFkGZgQQpRm6VLIygIHBxgzprJHI4QQQtQoEqwIIURpXn4ZoqPB31+CFSGEEKKCyTIwIYQQQgghhEWSYEUIIYQQQghhkSRYEUIIIYQQQlgkCVaEEEIIIYQQFkmCFSGEEEIIIYRFkmBFCCGEEEIIYZEkWBFCCCGEEEJYJAlWhBBCCCGEEBZJmkIKIURpfHwKfxZCCCFEhZFgRQghSnP4cGWPQAghhKixZBmYEEIIIYQQwiJJsCKEEEIIIYSwSBKsCCGEEEIIISySBCtCCFGap5+GBx4wfhZCVJqE9Bx+3HOFpIycyh6KEKICSYK9EEKU5q+/IDoa/P0reyRC1Fh5egOP/3SIU9GpLD1wjWVPd8bd0bayhyWEqAAysyKEEEIIizZ780VORacCcCk+g/9beJB0bV4lj0oIUREkWBFCCCGExTp4JZm52y8D8PLAxrg72nIqOpUnfj5Mdq6+kkcnhDA3CVaEEEIIYZHStHm8sOw4igIPtA1gcq8G/PJ4B5w01hy8kszExUfI1Rkqe5hCCDOSYEUIIYQQFunNVaeJTskmyN2Bt4aFABDq78LCx9pjZ6Nmx8UEpi47hk4vAYsQ1ZUEK0IIIYSwOKuPR7PqeAxWahVfjG5FLc2/NYHa13Hnu7HtsLVSs/5UHDNWnMJgUCpkXIqisHD3FQbO3smOiwkV8ppC1GQSrAghhBDV0LqTMWw4HVfZw7gjUTeyeGPVaQCe6d2AtsFuRfbp0ag2Xz3cCrUK/jgSxbvrzqIo5g1YbmTmMuGXw7y77izn49J58Y8TpGZLor8Q5iTBihBClECbp5cLEVElnY5O5Zmlx5i05AjXkrIqezi3RW9QmPb7CdK1OloHufJsnwYl7jsw1JdP728JwE97r/LFpotmG9fhq8kM/moXm8/FY2utxstJQ0J6Dp/9c8FsrymEkGBFCCGKZTAoTP/jBFn51YZyJIlXVCHf7jBWz1IUWHrwWiWP5vbM33mZg1eScbS1YvboVlhblX6pcl/bAN4dbsxn+WprGN/tvFyu4zEYFOZsC2P0d/uJTdVSz9ORlZO7MPuhVgAsPhDB8ciUcn1NIcS/zBaszJ07l7p162JnZ0fbtm3ZtWtXiftu374dlUpV5OP8+fPmGp4QQpTq800X+OtkLGua9eS3Fv1Z07SnJPGKKuFKYiZ/n4o1ff3H4UhydFWjxO/p6FRmbTTOjrw1LIRgD8cyPW9c5zq8NKAxAB+uP8/SA+UToCWk5/B/Px7k038uoDcojGjlx5pnuxHi50KX+p6Mau2PosBrK07J7wchzMQswcqyZcuYOnUqr7/+OseOHaN79+4MGjSIa9dK/+Vx4cIFYmNjTR8NGzY0x/CEEKJUvx+OZM42491Z688/4+P7pvNSx0dZtD+ikkcmxK3N33EZg2LM6fBxtiMpM7dK5K5k5+p57rdj6AwKA0N8eKBtwG09f0rvBkzsWR+A11edYvXx6Lsaz96wRAZ/tYtdlxKxs1Hzyf0tiiT6vzakKS72NpyNTePnffL7QQhzMEuwMmvWLJ544gmefPJJmjZtyuzZswkMDOTbb78t9XleXl74+PiYPqysrMwxPCGEKNHesEReW3EKgGf7NOCJbnV5Mf+O7axNF0nKyKnM4QlRqrhULcuPRgHGn9+HOgQCsKScZhrM6YP1ZwlPyMTbWcPMUc1RqVS3fYxXBjbm0U5BKApM+/0Em89ev+1j6PQGZm28wCM/HCAhPYdG3rVY+0w3HmwXWGRMnrU0vDqoCQCzNl4gNjX7tl9PCFG6cg9WcnNzOXLkCP379y+0vX///uzdu7fU57Zu3RpfX1/69u3Ltm3bSt03JyeHtLS0Qh9CCHE3wuIzmLj4CDqDwtCWfkzr1wiAh9oHEeLnTLpWx6eSTCss2A+7w8nTK7Sv40b7Ou481D4IK7WKg1eSuXg9vbKHV6It566zeL8xoPrsgZa4Odre0XFUKhXvDgtlZGt/9AaFyUuPsjcssczPj0vVMmbBAb7aGoaiwMMdAlk9pRsNvZ1KfM7odoG0DXYjM1fPO2vO3tG4hRAlK/dgJTExEb1ej7e3d6Ht3t7exMUVPw3t6+vLd999x/Lly1mxYgWNGzemb9++7Ny5s8TXmTlzJi4uLqaPwMDAcn0fQoiaJSkjh8d+OkiaVkfbYDc+vb+F6S6qlVrFO/kN6ZYdjuRkVEoljlSI4qVk5ZpmUCb3MlbQ8nGx456mXgDllsdR3hLSc3j5z5MAPNGtLt0b1r6r46nVKj69vwX9m3mTqzPw5C+HOXrtxi2ft+18PIO/2mVK7v/yoVbMHNUCe9vSV3mo1So+GBmKlVrFhjNxbDl3+7M5QoiSmS3B/r9TpYqilDil27hxYyZMmECbNm3o3Lkzc+fOZciQIXz22WclHn/GjBmkpqaaPiIjI8t1/EKImkObp+epRUeITDZ2yv5ubFvsbPIvUJo0AWdn2g3swohWfigKvLXmTIU1oBOirH7eG0FWrp4mPk70avzvBf8jHYMBWH40iqxcXWUNr1iKovDynydIysyliY+TKUn+bllbqfl6TGu6NfAkK1fP+IUHORdb/AqMPL2BmevP8dhPh0jOzCXEz5l1z3VneCv/Mr9eEx9nnuxWF4A3V5+xuPMsRFVW7sGKp6cnVlZWRWZR4uPji8y2lKZTp05cunSpxMc1Gg3Ozs6FPoQQ4nYZDAov/XmSIxE3cLazZuH49njU0vy7Q0YGpKdDRgYzBjfFwdaKY9dSWHns7pJ3hShPWbk6ftp7BYBJveoXujnYrYEnwR4OpGt1rD0RU1lDLNbi/RFsu5CArbWa2Q+1+vcmQTnQWFvx3bi2tA12I02rY+wPBwhPyCi0T2RyFg/O38f8neEAjO9ShxWTu1DXs2xVyG72/D0N8Xe1Jzolmy+3lHz9IoS4PeUerNja2tK2bVs2bdpUaPumTZvo0qVLmY9z7NgxfH19y3t4QghRyBebL7L2RAzWahXzHm1LA69aJe7r7WzHs32MVQpn/n2edK00jBSW4deDkdzIyiPI3YEhzQv/7VSrVYzpEARYVqJ9WHw67/91DoBXBjahiU/533R0sDXegGjm60xiRi6PLjhAdIoxCX7D6ViGfLWLY9dScLazZt6jbXl7WAga6zsLmBxsrU39Xn7YdYXzcZJLK0R5MMsysGnTprFgwQIWLlzIuXPneOGFF7h27RoTJ04EjEu4xo0bZ9p/9uzZrFq1ikuXLnHmzBlmzJjB8uXLeeaZZ8wxPCGEAODPI1F8vTUMgA9HNadLA89bPufxbnWo6+lIYkaO6blCVKZcnYEFu4wzA0/3rFdsE8X72wZga6XmZFSqReRc5eoMPP/bcXJ0Bro39OSxLnXM9lou9jb88kQH6tV2JCZVy6MLDvD6ylNMXHyUNK2O1kGu/PVcdwaG+tz1a/Vt6s2AEG90BoXXV56W5aJClAOzBCujR49m9uzZvPvuu7Rq1YqdO3eyfv16goON62ZjY2ML9VzJzc3lxRdfpEWLFnTv3p3du3fz119/MWrUKHMMT4hq5Zd9V2n+1j88smA/C3aFczkhA0WRP5C3su9yEjNWGJN6J/eqz4PtylakQ2NtxZtDmwGwcPcVwuIzbvEMIcxr1bFoYlO11HbScF+b4nuTeNTSMLi58WJ8yf7Kn12ZtekiZ2LScHOw4bMHWqJW336Z4tvhWUvDkic74u9qz5XETNMM09M96/H7050JdHcot9d6e1gIjrZWHIm4we+HJZ9WiLulUqrJVU1aWhouLi6kpqZK/oqoMdK1eXT9aCtp2sLJnMEeDvRu7EXvJl50rOteruvAq4PLCRmMmruX1Ow8hjT35euHW5d8sRQQANHR4O8PUVGmzU/8dIgt5+Pp3tCTXx7vcEc9IYS4W3qDQr9ZOwhPzGTGoCY8nd8UsTiHribzwLx92NtYsf+1vrjY21TgSP+173ISYxbsR1Fg3qNty2VGo6yuJmbyyIIDaPP0fPZgS3o39jLL6yzYFc77f53Dxd6GLdN74nlzHpwQAij7tbvZqoEJcbPMHKmMYg5LDlwjTaujXm1H/ndvM7o39MTWSk1EUhY/7b3K/y08SOt3N/Hkz4dYvD/CtFa7JkvOzOXxnw6Rmp1H6yBXPn/wzu7q/u/eZthaqdl1KZFNd9B4Tojy8M+ZOMITM3G2s+aRTsGl7tsu2I1G3rXIztOz8mhUqfuaS2pWHtN/P46iGPuTVGSgAlDH05GtL/Zk/2t9zRaogDFRv5mvM6nZeXy4/pzZXkeImkCCFWF22jw9/b/YyYt/nCAuVVvZw6k2tHl6ftidX/2nZ32e6FaXRU905Nib/fhubFse7hCIj7Md2Xl6Np+L541Vp+n60VYGzt7JR3+f5+CVZHR6QyW/i4qVo9Pz9KLDRCRlEeBmz/fj2t3xrFMdT0ee7G4sVfreX2fR5unLc6hC3JKiKHy7/TIA/9elDrU01qXur1KpeDQ/oFly4FqFLxdVFIU3Vp8mJlVLsIeDaTllRdNYW2FTTF5PebK2UvPhqOaoVLDiaDR7L5e9MaUQojAJVoTZ7biYQHRKNn8eiaLXZ9uYtfECGTLTctf+PBJFQnoO/q72jGj9bz8AR401/UN8mDmqBftm9GH9c915aUBj2gW7oVbB+bh05u24zIPz99HmvU08s/Qoy49EkZSRU4nvxvyM/RxOcujqDZzsrPlxfPu7XpoxpXcDfJztiEzO5vv80qdCVJTdYYmcik7FzkbN+DImqI9o7Y+9jRWX4jM4dPXWjRLL06rj0aw9EYOVWsXs0a1wvEVwVdW1CnTl0fweN2+sOk2OTm5oCHEnqvdvCmERBoT4sHJyFz5cf45DV2/w1dYwlh6MZFq/RjzYLqDYyjWidDq9gfk7jXdUJ3SvW+JdQpVKRTM/Z5r5OTOldwNuZOay81IC287Hs+NiAjey8lh3MpZ1J2NRqSDQzQEfZzu8nDX4ONvh7WyHt4sd3k4afFyMX1fV/JfZmy+x+rixRPG3j7SlobfTXR/TUWPNjMFNeP6348zZHsaotgH4u9qXw2iFuLW524y/Ax5qH1S4N1ApnO1sGNHaj18PRrJ4fwQd6rqbc4gmkclZvLnqDADP9WlI6yC3CnndyvbigMZsOBNHeEIm83eE81zfhpU9JCGqHEmwFxVGURT+ORPHR3+f52pSFgCNvGsxY3BTejWqLQnKt2HVsWimLjuOh6Mtu1/pg73t7QcQeoPC8cgUtp2PZ9uFeM7ElK0ngIu9Dd7OGmMg42yXH9T8+3WguwPujra3PR5zWnksiheWnQDgo1HNeSi/50SZrFsH2dlgbw/33lvkYUVRGD1/PwevJjOkhS9zxrQpr2ELUaJj124wcu5erNUqdrzc+7aC5FNRqQz9Zjc2Vir2zehr9uRvvUHhoe/2cejqDdoGu7HsqU416ibVmhMxPPfrMWyt1Wyc2oM6d9BwUojqqKzX7hKsiAqXqzOw5EAEX265REqWsaletwaevDa4Kc385Ht3KwaDwqAvd3HhejovDWjMlN4NyuW48elaIpKyuJ6mJS5VS3x6DnGpWq6nGT/i0rRo88qW43JfmwBeHtgYb2e7chnb3TgQnsSjPxwgT68wsWd9Xh3UpNxf42xMGvd+vQuDAksndKRL/Vv3axHibkz45TCbzl7n/rYBfPZAy9t+/vBvdnMiKpVXBjZhUq+SK4iVh7nbw/hkwwUcba34+/keBHmUX5ngqkBRFMYtPMiuS4lSPVCIm0iwIixealYec7aH8dOeq+TqDahUcH+bAKb3b4yPS+Vf5FqqzWev8+Qvh6mlsWbPq30qrPyooiikaXX/Bi/FBDTX03KISzMWUXCwtWJK7wY80a1upS0du5KYyci5e0jJymNwcx++ebiN2fo5/G/VaRbtj6CxtxN/PdfNYu8cJ2fm8tfJGDQ2Vjjb2eBin//hYIOznTW1NNZyIWXhLl5Pp/8XO1GpYNMLPWjgdftLGn8/HMnLf54k0N2eHS/2Ntv/i9PRqYycu4c8vcIn97cocz+j6uZqYib9Z+8kV2fgy4daMbyV/62fJEQ1J8GKqDIik7P4eMN51p2MBcDexooJPerxdI961T4B83YpisKob/dy7FqK2WYJ7taxazd4d91Zjl1LASDAzZ7XBjdlUKhPhV4Ex6drGT1/P1cSM2kZ6MqypzqZNWi6kZlL78+3k5KVx9tDmzG+a12zvdadytUZeHD+Po5HppS4j5VahbOdNc72/wYyznY2hb+2t8bF3obWQW6So5MvO1fP8qNRLN4fQW0nDV8/3BpXB/Msh5y27DgrjkUzIMSb+WPb3dExsnP1dPhwM+laHT8/3oGejWqX8yiNFQuHfr2bS/EZDAjxZt6jbWt0IPzVlkvM2nQRz1oatkzvWWl9boSwFBKsiCrn6LUbfPDXOY5EGCvU1HbS5CfhB2Jl5u7GVcW+y0k8/P1+NNZqdr/Sh9pOltloTFEUVh+P4aO/z5tmWjrUdeetoc0I8XMx62ufiEzhl30RrD0ZQ67OgL+rPaumdL3zc3XkCOTmgq0ttG1b6q6L90fwxqrTONtZs+3FXmVOeq4ob685w097r+JkZ027YDdSs/PyP3SkZeeRe5ulrDXWat4bEVpj75YDJKTnsGjfVRbtj+BG/rJWgCY+TvzyRAe8nMp3ljgyOYten21Hb1BYPaUrLQNd7/hYBT8P/Zp58/24Owt6SvPu2rMs3HMFz1oa/pna3eL+P1S0HJ2eQV/uIjwhk0c7BfH+iOaVPSQhKpUEK6JKUhSFDafj+GjDeSLyk/AbezsxY3ATepmxgVdVMfaHA+y6lMjYTsG8NyK0sodzS1m5OubtCGf+jsvk6IxL/Ua3C2R6/8blGmhp8/SsOxnLon1XORGVatoe6u/M7NGt7miZjEkJHeyLozcoDP16N2dj03i4QyAzR7W489ctZ+tOxvDM0mMA/PB/7ejb1LvIPto8vSmASTMFMgX/1v37tTaPyOQszselA/BA2wDeHR56R4UeqqpL19NZsOsKK49Hk6szBnkBbvY81D6Qn/dFkJCeQ11PRxY/2bFcZ5/eXH2aX/ZF0LWBB0ue7HRXxwqLT+eeWTtRq2DPq33wdSm/ce4JS+SRBQcAWDi+HX2aFP15q4n2Xk5kzPcHjP1XJnWpMVXRhCiOBCuiSsvVGVi0P4KvtlwiNdt4t7J7Q2MSflPfmvn9LajgY6VWsf3FXgS6V50k1eiUbD76+zxrT8QAUEtjzbN9GjC+ax001nd+gRuZnMXi/RH8fjjSdFfb1krNkBa+jO0cTOtA17tfdnIbwQrAoavJPDBvHyoVrJ7SlRYBrnf3+uXgckIGw77eTWaunkm96vPKwLtfPmgwKMzZFsYXmy9iUIwzCXMfaUO92rXKYcSWSVEU9l5O4vtd4Wy/kGDa3irQlQnd6zEgxBtrKzVXEzN5ZMEBolOy8XOxY/GTHcvlvCRm5ND1o63k6AwsebIjXRvcfSGH0fP3ceBKMs/1bci0fo3u+nhgzEcc+OVOYlO1PNIxiA9GygzCzab9fpwVR6Np5uvMmme6Wmx+mxDmJsGKqBZSs/L4euslft53lTy9gkoFk3vVZ+o9jczegdjSTFp8hL9PxzGqtT+zRreq7OHckcNXk3ln7VlORRtnP4I9HHh9cFP6NfMuc1BhMCjsuJTAon0RbLsQT8FvMH9Xe8Z0DGJ0+8DyLcV6m8EKwPO/HWP18RjaBLny58QuZkteLovsXD0j5uzhwvV0OtZ1Z8mTHcv14mhvWCLP/XaMxIxcamms+fi+Fgxp4Vtux7cEuToD607GsGDXFc7GGkt8q1TQv5k3E7rXo22wW5Gf35iUbB5dcIDwxEw8a9my6ImOd32j5dN/zjNn22VaBriwakrXcsn/WHsihmd/PYaXk4Y9r/Ypl9+rz/16jDUnYqjj4cD657vjYCu5hzdLzMih7+c7SM3O440hTXmye73KHpIQlUKCFVGtXEsyJuH/dcqYhN86yJWvHmpdpWYX7kZYfAb9vtiBosDGF3rQqBwaGlYWg0Fh+dEoPvnnAgnpOQB0beDBm/eG0Nin5PeVkpXLH4ejWHwgwrREEIwzbmM7BdO3qbd5cpvuIFiJS9XS5/PtZOXq+fyBltzXNqD8x1UGiqIw/Y8TrDgaTW0nDX89163ccygArqdpeXbpMQ5eTQZgfJc6vDa4KbbWVfuGQmpWHksPXuOnvVe4nmb8WbW3seKBdgE83rXuLftlJGbkMPaHg5yLTcPZzpqfH+9wx8t+0rV5dPloK+laHfMebcvAUJ87Os5/5eoMdJ65haTM3HI57urj0Tz/23Gs1Cr+nNhZljmV4LeD13h1xSkcbK3YPK0nflKoQtRAZb12r9p/SUSNEeThwJxH2vDNmNY42Vlz7FoKg7/cxZr8ZUXV3bwdl1EU6NfMu0oHKgBqtYoH2gWy7cVeTO5VH1trNXvCkhj05U7eWHWK5MzcQvufikrlpT9O0PHDLXyw/hwRSVk42VnzeNe6bJ3ek0VPdKR/iI9FFWHwcbHj2T7GTtUfbThPujbvFs8wj2WHIllxNBq1Cr5+uLVZAhUAb2c7lk7oyMSexn4dP+29ygPz9xF1I+sWz7RMkclZvL3mDJ0/2sLHG85zPS2H2k4aXhrQmH0z+vDu8NAyNfbzrKXhtwmdaBPkSppWxyMLDrD3cuIdjWnx/muka3U08KpF/2bll/9ha63mwfbGAglLDkTc1bFiU7P536rTAEzp3UAClVI82C6QdsFuZOXqeXP1aQyGanHfWAizkJkVUeVEJmfx/G/HOJpfGveBtgG8Mzyk2i41iE7Jpucn29AZFFZOrn4JmZHJWXy4/hx/n44DwNnOmufvaYSbgw2/7IsoVGa3qa8z4zoHM7yVX8V9v+9gZgWMlX8Gzt7FlcRMnupRj9cGNzXjIIs6HZ3KqG/3kqszVEjjvwJbzl1n2u8nSM3Ow9XBhi8ebEXvJuYtjpGnN5Cu1Zm+vvnP2n//wN38F0/5z6PXkrJYuOcKG07HUXDt2NjbiSe712VYK787zq/KzNHx1KLD7AlLwtZazbePtCm2wEFJtHl6un28jcSMHD57oCX3l/NMXWRyFj0+3YaiwPYXe91Rh3WDQWHswgPsCUuiZYALf07qUuOW6t6uC3HpDPlqFzqDwtCWfnz+QMsqPxspxO2QZWCiWtPpDXy15RJfbwtDUaCepyNfPdyaUH/zlsWtDAXlRbvU92DphLur/mPJ9l1O4t11ZzmXnxNQwMZKxeDmvozrHEyboKK5AWZ3h8EKwLbz8Tz20yGs1So2TO1BA6+KST5Pzc5j6Ne7uZacRd8mXnw/rl2F5s1EJmcxZelRTuZXZpvcqz7T+jUq11yZPL2B3WGJrD0Rw8Yz18nI0d36Sbehe0NPJnSvR/eGnuXyM6fN0/PM0mNsPncda7WKL0a3YmhLvzI9d9H+CP636jT+rvZsf6mXWYKA8T8eZPuFhDsOrBfuvsK7685iZ6Pmr+e6U78aF1ooT+tOxvDCsuPk6RV6NqrNt4+2qbY33oT4LwlWRI2w73ISLyw7TlyaFlsrNa8MasLjXetUm8ZjSRk5dP14K9o8A4uf6Ei3hndf/ceS6Q0Kvx+O5JutYQA83CGQ0e2DKrefzF0EKwCP/3SIrefj6dGoNj8/1t7sP5uKovD0oiNsPHudADd71j3bzWzNCUuTo9PzwV/n+GWfcWlRp3rufPVQa7yc73wpmsGgcOhqMmtOxPD36bgiSwbL6uZvwc3fDY21FUNa+PJk97o08Sn/vyN5egMv/nGC1cdjUKlg5sjmPNQhqNTn6PQGen++ncjkbLM2G9109joTfjmMm4MN+2b0va0GqpeupzPk693k6gy8NzyEsZ3rmGWM1dWOiwlMXHSE7Dw9bYPdWPh/7XFxkIaRovqTYEXUGDcyc3ll+Uk2nr0OQK/GtfnsgZblWxGqknz2zwW+2RZGiwAXVpdT9R9xm+4yWLmamEn/L3aSqzfwfN+GPNe3oVnza77fGc4H689ha6Xmz0mdK7108toTMby6/CSZuXo8axk7u3eu71Hm5yuKwunoNNaciGbdyVhiU7Wmxzxr2TK4uS/DWvrROsiNm0+rpf5f0RsU3lh1ml8PXgO4ZTWoVceimbrsOO6Otux5pY/ZetnoDQrdP95KTKqW2aNbMaK1f5mel6szMHLuHs7EpNGzUW1+qoCAvDo6EpHMYz8eIk2rMzYUfbzDXQX2QlQFkmAvagw3R1vmj23LeyNC0Vir2X4hgYGzd7HrUsKtn2zB0rV5/LzvKgCTezWQC4Aqqo6nI8/0aQDAl1su8dB3+4hMNk/i+aGryXy04TwAbw5tVumBCsDQln6sebYbjb2dSMzI4ZEF+5mzLeyWCcVh8RnM2nSRPp/vYOg3u/l+1xViU7U42VnzQNsAFj3Rgf0z+vLu8FDa1XHHSq1Cpfr3w1JZqVV8ODKUp3oYA5T3/zrH7M0XKe6+oaIofLv9MgCPdalj1qabVmqVaZZn8f6yJ9rP3nyRMzFpuDrY8On9LSz63FuytsHu/D6xM15OGs7HpXP/vH1cS6qaBSqEKG8ysyKqlQtx6Tz761EuXs8A4Oke9Zjev3GVTFr8dvtlPt5wngZetdg4tUel9uqo0dLTjVnZKhU43VklNkVRWHE0mjdXnyYzV4+Txpr3R4YyvFXZ7l6XRUJ6DkO+2kV8eg4jWvnxxehWFnXhmJ2r53+rT/PnEePsVO/GtZn1YCvcHP9dohadks3aEzGsOR5j6mcCYGejpm9Tb4a19KNno9q3tUTJUimKwjdbw/h800UAnuxWl9eHNC30Pdty7jpP/HwYR1sr9r7a1+xLg+LTtHT+aCt6g8KGqd1vuRTu0NVkRs/fh0GBbx9pw6Dm1au/TmW4lpTF2IUHiEjKoraThl8e71BjGyGL6k+WgYkaS5un5/2/zrJ4v3GZRYsAF756qPUdVbipLOau/iMqx7WkLKYu+7eS3fBWfrw3IhRnu7u7CNUbFMb+cIC9l5No4FWL1VO64qixzCTd3w9F8r/Vp8nRGfB3tefDUc2JSMpkzfEYDkfcMO1nrVbRo1FthrX0455m3tSy0Pdzt37cc4V31p4F4KH2gXwwsjlWahWKonD/vH0cibjB0z3qMaOCqskVNJ8d2ymY90aElrhfRo6OQV/uJDI5m/vaBPD5gy0rZHw1QXy6lnE/HOR8XDrOdtYsHN+ednXcK3tYQpQ7CVZEjffPmThe/vMkqdl5ONpa8f7IUEa2rhoX/RVR/UdUDp3ewDfbwvh6axh6g4K/qz2zH2pF+7u4GJm18QJfbQ3DwdaKNc90pYGXZffiORuTxuQlR7j6n2UuKhV0rOvOsJb+DAr1KTTrUp39fjiSV5efxKDAvS18+WJ0K45G3GD0d/uxtVaz++XeFZa/sPtSIo/+cIBaGmsOvNa3xKD35T9P8PvhKPxd7fl7ave7DrhFYanZeTzx0yEOR9zAzkbNt4+2pXdj85YAF6KiSc6KqPEGhPjw9/Pd6VDXncxcPS8sO8G0ZcfLvcRpedPpDczfYVyn/lSPehKoVDPWVmqm3tOI35/uTKC7PdEp2Yyev4/PN14gT2+47eNtuxDPV/nV02aOam7xgQpAMz9n1j7bjSEtjMuGWga68saQpux7tS+/PdWZMR2DakygAsYGgV8/3AYbKxXrTsby9KIjfJ3/Pb2/bUCFJlp3qe9BXU9HMnJ0JTbd/edMHL8fjkKlglkPtpRAxQxc7G1Y9ERHejeujTbPwISfD7P6eHRlD0uISiEzK6La0xsU5m4LY/aWS+gNCsEeDkzp1QBXBxuc7W1wsrPG2c742cnOptI7oa88FsULy07g4WjLbjNW/xFlNGsWpKWBszNMm1auh07X5vH2mrMsP2rM42gZ6Mrs0a2oW8Yli9Ep2Qz5ahcpWXm3XLZjqTJzdBa7ZK2ibbsQz8RFR8jRGYNWtQq2vdiLYI+KXcJaUFEuxM+Zdc92K5RHk5Cew4DZO0nOzOXpnvWYMahim53WNP8td/3uMCkNLaoPWQYmxH8cvprM878dJzolu9T9HG2tcMoPXgqCGdPXps/WeDvb0buJV7nOfBgMCgO/3MnF6xm8NKAxU3o3KLdjizt0l6WLy2LdyRheW3GKNK0OB1sr3h4awgPtAkpNkM/VGXhg/j5ORKbQIsCFPyZ2vuMO68Jy7A9P4smfD5ORo2NYSz++erh1hY/hRmYuHWduIVdnYNWUrrQKdAWMRQGe/PkwW87H08THidXPdJWfuQpgMCi8vfaMqWfRC/c04rm+UiFSVH1lvXaX21mixmhXx531z3fnqy2XuHg9nXStjnRtHulaHWnaPLR5xruZmbl6MnP1xKXd4oBAA69avDW0Gd0b1i6XMW4+d52L1zNw0lgztnNwuRxTWL57W/jRJsiNab8fZ394Mi8vP8m2C/F8OLJ5icuhPlx/jhORKbjY2zBnTBu5aKwmOtXz4LenOvHH4UgmV9LNCjdHW+5t7suKY9Es3h9hClZ+PRjJlvPx2Fqpmf1QK/mZqyBqtYp3hoXg5mDLl1su8cXmi9zIyuXNe5tJlUhRI8jMihD5cnUGMnJ0pGXnmQKZNG0eaVqdMaC5aXu6VsfBq8mmDtr9m3nzxpBmBHk43PHrK4rCyLl7OR6ZwqRe9XllYJPyemviblTAzEoBvUHh+13hfPbPBXQGBW9nDbMebEXXBp6F9lt3MoZnlh4DYOH4dvRp4m3WcYma50hEMvd9uw+NtZqDr93DjaxcBn25i+w8/S0bWQrzubl63MjW/nxyfwvJaxRVlsysCHGbbK3VuFvb4l7GxN7U7Dy+3HyJn/ddZePZ62y/mMBT3esxuXd9HGxv/7/WvvAkjkemoLFW83jXurf9fFH1WalVTOxZn671PXl+2THCEzJ5ZMEBnupRj+n9G6GxtuJyQgav/HkSgMm96kugIsyiTZAbTXycOB+Xzu+HI1l/OpbsPD2d63nI76dK9FjXurg52DL9jxOsPBZNWnYecx5pUy16DwlREgnHhbhDLvY2vDm0GRue7063Bp7k6owlaft8toPVx6OL7UhdmrnbjBXARrcPpLaTxhxDFlVE8wAX1j3bjUc6GjuKf7cznJFz9nIqKpVJi4+QmaunUz13pvVrVMkjFdWVSqXikU7GpagfbzjPsWspOGms+ezBlrL0qJKNaO3P9+PaorFWs+V8PON+OEiaNq+yhyWE2UiwIsRdaujtxKInOjB/bFsC3OyJS9Py/G/HeXD+Pk5Hp5bpGCejUtgdloiVWsUEWV4hAAdbaz4Y2Zzvx7XD3dGWs7FpDP1mNxevZ1DbScNXD7fGWpZ/CDMa0coPB1srdAbjjZd3R4Tg72pfyaMSAH2aeLPoiY44aaw5eDWZh+bvJyE9p7KHJYRZyF86IcqBSqViQIgPm6f1ZHq/RtjZqDl09QZDv9nNaytPmXJbSlIwqzK8lR+B7nee9yKqn37NvNkwtTs9GhmLOFipVXzzcGu8nCqu94aomZzsbLivjbGR7pAWvoxo5V/JIxI361DXnd+e7oRnLePNjJf+PFHZQxLCLCTBXggziEnJZubf51mb31TN2c6aaf0a8Win4CJ3w8Pi07ln1k4ANr3Qg4belt/Ur0apwAT70hgMChvOxOHqYEOX+p63foIQ5SA7V8+2C/H0aeIleREW6kpiJi/9cYIvRreSm12iSpE+K0JYgAPhSby99iznYo11kBt7O/HW0GZ0uam60/TfT7D8aBT9m3nz3bh2lTVUURILCVaEEKIkiqJI3xVR5ZT12l2WgQlhRh3rebDu2W68PyIUVwcbLlxPZ8yCA0xecoSoG1lE3chi9fFogErrqSBuoU0b6NTJ+FkIISyQBCqiOpOZFSEqSEpWLrM2XWTx/ggMCmis1TT0rsXp6DS6NvBgyZOdKnuIQgghhBAVQmZWhLAwrg62vDs8lL+e606neu7k6AycjjYuD5vcS2ZVhBBCCCH+S5pCClHBmvo68+uETqw/FcdXWy7R2MeJLvU9KntYQgghhBAWR4IVISqBSqViSAtfhrTwreyhCCGEEEJYLAlWhBCiNMOGQUIC1K4Na9ZU9miEEEKIGkWCFSGEKM3Ro/+WLhZCCCFEhZIEeyGEEEIIIYRFkmBFCCGEEEIIYZEkWBFCCCGEEEJYJAlWhBBCCCGEEBbJbMHK3LlzqVu3LnZ2drRt25Zdu3aVuv+OHTto27YtdnZ21KtXj3nz5plraEIIIYQQQogqwCzByrJly5g6dSqvv/46x44do3v37gwaNIhr164Vu/+VK1cYPHgw3bt359ixY7z22ms899xzLF++3BzDE0IIIYQQQlQBKkVRlPI+aMeOHWnTpg3ffvutaVvTpk0ZMWIEM2fOLLL/K6+8wpo1azh37pxp28SJEzlx4gT79u0r02umpaXh4uJCamoqzs7Od/8mhBACICDg39LFUVGVPRohhBCiWijrtXu591nJzc3lyJEjvPrqq4W29+/fn7179xb7nH379tG/f/9C2wYMGMAPP/xAXl4eNjY2RZ6Tk5NDTk6O6evU1FTA+MaFEKLcGAz/fpbfL0IIIUS5KLhmv9W8SbkHK4mJiej1ery9vQtt9/b2Ji4urtjnxMXFFbu/TqcjMTERX1/fIs+ZOXMm77zzTpHtgYGBdzF6IYQoQWwsuLhU9iiEEEKIaiU9PR2XUv6+mq2DvUqlKvS1oihFtt1q/+K2F5gxYwbTpk0zfW0wGEhOTsbDw6PU1ylJWloagYGBREZGyjIyM5Dzaz5ybs1Lzq/5yLk1Lzm/5iXn13zk3JqXpZxfRVFIT0/Hz8+v1P3KPVjx9PTEysqqyCxKfHx8kdmTAj4+PsXub21tjYeHR7HP0Wg0aDSaQttcXV3vfOD5nJ2d5T+GGcn5NR85t+Yl59d85Nyal5xf85Lzaz5ybs3LEs5vaTMqBcq9GpitrS1t27Zl06ZNhbZv2rSJLl26FPuczp07F9l/48aNtGvXrth8FSGEEEIIIUT1Z5bSxdOmTWPBggUsXLiQc+fO8cILL3Dt2jUmTpwIGJdwjRs3zrT/xIkTiYiIYNq0aZw7d46FCxfyww8/8OKLL5pjeEIIIYQQQogqwCw5K6NHjyYpKYl3332X2NhYQkNDWb9+PcHBwQDExsYW6rlSt25d1q9fzwsvvMCcOXPw8/Pjq6++4r777jPH8Iql0Wh46623iiwtE+VDzq/5yLk1Lzm/5iPn1rzk/JqXnF/zkXNrXlXt/Jqlz4oQQgghhBBC3C2zLAMTQgghhBBCiLslwYoQQgghhBDCIkmwIoQQQgghhLBIEqwIIYQQQgghLJIEK0IIIYQQQgiLJMGKEEIIIYQQwiJJsCKEEEIIIYSwSBKsCCGEEEIIISySBCtCCCGEEEIIiyTBihBCCCGEEMIiSbAihBAW6O2330alUpGYmFjs46GhofTq1cv0dWRkJJMnT6ZRo0bY29vj7u5O8+bNmTBhApGRkUWev3v3bh5++GGCgoLQaDQ4OjoSEhLC9OnTOX/+fKF9FUXht99+o3v37nh5eWFnZ0dAQAADBgxgwYIFZX5PmzdvpnPnzjg4OODp6cn48eOJj48vsl9YWBhjx44lKCgIe3t76tevz7Rp00hKSiqyb3h4OKNGjcLV1ZVatWrRr18/jh49WmS/9PR0nnvuOfz9/dFoNDRq1IhPPvkEvV5faL/t27ejUqmK/di/f3+R4x49epR77rmHWrVq4erqyqhRowgPDy/2/X/99dc0adIEjUZD3bp1eeedd8jLyyuyX3x8POPHj8fT0xMHBwc6d+7Mli1bSjyvQghRnVlX9gCEEELcnaioKNq0aYOrqyvTp0+ncePGpKamcvbsWX7//XfCw8MJDAw07f/GG2/wwQcf0LlzZ9544w0aNmyITqfj5MmT/Pzzz8yaNQudToeVlRUAM2bM4OOPP2bChAm89NJLODk5ERERwdatW1m9ejVPPvnkLce4Y8cOBg0axJAhQ1i9ejXx8fG88sor9O3bl8OHD6PRaABISEigU6dOODs789577xEUFMSxY8d466232LZtG0eOHEGtVpv27d69O25ubixcuBA7OztmzpxJr169OHToEI0bNwZAp9PRr18/Ll68yHvvvUejRo3YsGEDr776KlFRUXz11VdFxvvhhx/Su3fvQttCQ0MLfX3+/Hl69epFq1at+P3339Fqtbz55pt0796d48ePU7t2bdO+H3zwAf/73/949dVX6d+/P4cOHeKNN94gOjqa7777zrRfTk4Offv2JSUlhS+//BIvLy/mzJnDwIED2bx5Mz179rzluRZCiGpFEUIIYXHeeustBVASEhKKfTwkJETp2bOnoiiK8uabbyqAEh4eXuy+er3e9O+lS5cqgDJx4kTFYDAU2ddgMCjffPONotPpFEVRlKysLEWj0Sjjxo275bFL0759e6VZs2ZKXl6eaduePXsUQJk7d65p2/fff68AyubNmws9/8MPP1QA5ejRo6ZtL730kmJjY6NcvXrVtC01NVXx9PRUHnzwQdO2X3/9VQGU5cuXFzrmU089pajVauX8+fOmbdu2bVMA5Y8//rjle3rggQcUT09PJTU11bTt6tWrio2NjfLyyy+btiUmJip2dnbKU089Vej5H3zwgaJSqZQzZ86Yts2ZM0cBlL1795q25eXlKc2aNVM6dOhwyzEJIUR1I8vAhBCiiktKSkKtVuPl5VXs4wUzEQDvv/8+np6efPHFF6hUqiL7qlQqpkyZYppVyczMJCcnB19f31seuyTR0dEcOnSIsWPHYm3974R+ly5daNSoEStXrjRts7GxAcDFxaXQMVxdXQGws7MzbVu5ciV9+vQhODjYtM3Z2ZlRo0axdu1adDodAHv27EGlUjFo0KBCx7z33nsxGAyFXr+sdDod69at47777sPZ2dm0PTg4mN69exc65oYNG9BqtTz22GOFjvHYY4+hKAqrVq0q9J4aN25M586dTdusra159NFHOXjwINHR0bc9ViGEqMokWBFCiCquc+fOGAwGRo0axT///ENaWlqx+8XExHD27Fn69etX6KK/NJ6enjRo0IC5c+cya9Yszp8/j6IotzW+06dPA9CiRYsij7Vo0cL0OMCIESMICgpi+vTpnDlzhoyMDHbu3MlHH33E0KFDadq0KQDZ2dlcvny5xGNmZ2ebckdyc3NRq9WmQKhAwdKzkydPFjnGlClTsLa2xtnZmQEDBrB79+5Cj1++fJns7OwSXz8sLAytVlvo/Tdv3rzQfr6+vnh6ehZ6/6dPny7xmABnzpwp8pgQQlRnEqwIIUQVN2bMGJ5++mk2b97MwIEDcXV1pVmzZkybNo2rV6+a9itItL95JqKAXq9Hp9OZPm4OSJYuXYqbmxvTp0+nadOmuLi4MHToUBYtWlSmwKUgMd7d3b3IY+7u7oUS511cXNi/fz95eXmEhobi5OREz5496dixI3/88Ydpvxs3bqAoSonHvPl1mzVrhl6vL5IgXxCA/Pf1n3/+eebPn8+2bdv48ssviYyMpFevXvzzzz9lfk+KonDjxg3TvgVFDG71/pOSksr0noQQoqaQYEUIIao4lUrFvHnzCA8PZ+7cuTz22GPk5eXxxRdfEBISwo4dO255DA8PD2xsbEwfy5cvNz3Wvn17wsLC2LBhA6+99pqpOtW4ceMYNmyYKWD5b8BjMBiKjLOk8Re4ceMGw4cPJy0tjSVLlrBz507mzp3L7t27GTZsmGlp162OefNjjzzyCO7u7jz11FMcOHCAlJQUfv31V1Ni/c1L2Vq3bs3s2bMZMWIE3bt357HHHmPv3r34+vry8ssvlzr20h4r6363u68QQlR3EqwIIYQFKsjt+G9p3QI6na7Isqbg4GAmTZrEDz/8wKVLl1i2bBlarZaXXnoJwFQRLCIiosjxtm/fzqFDh5g3b16xr2djY8OAAQP44IMP+Oeff0yzDevWrePvv/8GoG/fvoUCnscffxwwBkJQ/KxAcnJyoZmEjz/+mOPHj7Np0ybGjBlD9+7dmTRpEkuWLGHjxo0sWbIEADc3N1QqVYnHhH9nIzw9PdmwYQMAnTp1ws3NjWeffZZZs2YB4O/vX+x7LuDq6sq9997LyZMnyc7OLtN7UqlUpjwbDw8PtFotWVlZt3z/Hh4eZXpPQghRU0iwIoQQFsjb2xug2IRqRVGIjY017VOSBx98sFBOiJ+fHyEhIWzatMmUT1GgVatWtGvXzlTu91Y8PDyYOnUq8G9Oxvz58zl06JDp4+233wb+Lfl76tSpIsc5depUoZLAx48fx9/fv0hCf/v27Qu9lr29PQ0aNCjxmPb29tSrV6/Q88+ePcuVK1c4ffo0MTExpvyXHj163PL9FsweFcxs1K9fH3t7+xJfv0GDBqa8oIJclf/uGxcXR2JiYqH337x58xKPCUXLJwshRHUnwYoQQligPn36oFKpWLZsWZHHNmzYQFpaGvfccw8AsbGxxR4jIyODyMhI/Pz8TNtef/11EhMTmTZtWpnyTfLy8krMkzh37hyA6fiNGzemXbt2po86deoAxpmLDh06sHjx4kIzRfv37+fChQuMGjXKtM3Pz4+oqKgiQdq+ffsACAgIMG0bOXIkW7duLdT0Mj09nRUrVjBs2LBClccK1KlTh5CQEGxsbPj888/x8/PjgQceKPUc3Lhxg3Xr1tGqVStTAGJtbc3QoUNZsWIF6enppn2vXbvGtm3bCr2ngQMHYmdnx08//VTouD/99BMqlYoRI0YUek/nz5/nwIEDpm06nY7FixfTsWPHQt9LIYSoESqrZrIQQojSPfvss4pKpVKeeuopZdWqVco///yjvP/++0qtWrWUdu3aKTk5OYqiKMqUKVOUVq1aKTNnzlT+/vtvZfv27cqPP/6otG3bVgGUhQsXFjru66+/rgBKly5dlO+++07Ztm2bsmXLFuWnn35S+vbtqwDKhg0bFEVRlISEBMXR0VEZP368snjxYmXHjh3KX3/9pbz00kuKra2t0rRpUyUzM/OW72Xbtm2KtbW1MnLkSGXTpk3KkiVLlMDAQCU0NFTRarWm/Q4fPmw67s8//6xs3bpV+eqrrxQvLy/F29u7UN+Z+Ph4xdfXV2nevLmycuVKZf369UqPHj0UJycn5dy5c4Ve/7XXXlN+/fVXZfv27covv/yi9OrVS7G3t1e2bt1aaL+HH35YeeWVV5Q//vhD2bZtm/Ldd98pjRs3VqytrZVNmzYV2vfcuXNKrVq1lB49eijr169XVqxYoYSGhip+fn5KfHx8oX3ff/99RaVSKa+99pqyfft25dNPP1U0Go0yYcKEQvtptVolJCRECQwMVJYsWaJs2rRJGTlypGJtba1s3779ludZCCGqGwlWhBDCQhkMBuXbb79V2rVrpzg4OCi2trZKw4YNlVdeeUVJT0837bd//35lypQpSsuWLRV3d3fFyspKqV27tjJw4EBl/fr1xR57586dyujRo5WAgADFxsZGcXBwUJo1a6ZMmjRJOXz4sGm/nJwc5bPPPlMGDRqkBAUFKRqNRrGzs1OaNm2qvPzyy0pSUlKZ38/GjRuVTp06KXZ2doq7u7sybtw45fr160X2O3r0qDJy5EglICBA0Wg0Sr169ZQnn3xSuXbtWpF9w8LClBEjRijOzs6Kg4OD0rdvX+XIkSNF9ps0aZISFBSk2NraKp6ensp9992nnDx5ssh+M2fOVFq1aqW4uLiYzuPIkSOVgwcPFvueDh8+rPTt21dxcHBQnJ2dlREjRihhYWHF7vvll18qjRo1UmxtbZWgoCDlrbfeUnJzc4vsFxcXp4wbN05xd3dX7OzslE6dOhUJlIQQoqZQKcptFswXQgghhBBCiAogOStCCCGEEEIIiyTBihBCCCGEEMIiSbAihBBCCCGEsEgSrAghhBBCCCEskgQrQgghhBBCCIskwYoQQgghhBDCIhVt71tFGQwGYmJicHJyQqVSVfZwhBBCCCGEECVQFIX09HT8/PxQq0ueP6k2wUpMTAyBgYGVPQwhhBBCCCFEGUVGRhIQEFDi49UmWHFycgKMb9jZ2bmSRyOEEEIIIYQoSVpaGoGBgaZr+JJUm2ClYOmXs7OzBCtCCCGEEEJUAbdK35AEeyGEEEIIIYRFqjYzK0IIIcogNhb0erCyAl9fGYsQQgiLJjMrQghRk7RvD4GBxs+VzZLGIoQQwiJJsCKEEEIIIYSwSBKsCCGEEEIIISySBCtCCCGEEEIIiyTBihBCCCGEEMIiSbAihBBCCCGEsEgSrAghhBBCCCEskgQrQgghhBBCCIskwYoQQgghhBDCIkmwIoQQQgghhLBI1pU9ACGEEBVoyxbQ6cDaAn79W9JYhBBCWCT5CyGEEDVJ48aVPYJ/WdJYhBBCWCRZBiaEEEIIIYSwSBKsCCGEEEIIISySLAMTQoiaZOlSyMoCBwcYM0bGIoQQwqKpFEVRKnsQ5SEtLQ0XFxdSU1Nxdnau7OEIIYRlCgiA6Gjw94eoKBmLEEKISlHWa3dZBiaEEEIIIYSwSBKsCCGEEEIIISySBCtCCCGEEEIIiyTBihBCCCGEEMIiSbAihBBCCCGEsEgSrAghhBBCCCEskgQrQgghhBBCCIskwYoQQgghhBDCIkkHeyGEqEl8fAp/rkyWNBYhhBAWSYIVIYSoSQ4fruwR/MuSxiKEEMIiyTIwIYQQQgghhEWSYEUIIYQQFu96mpbPN14gJSu3socihKhAEqwIIYQQwuJ9+s8Fvt4axpdbLlX2UIQQFUhyVoQQoiZ5+mlITgZ3d5g/X8YiqgRFUdgTlgjAjosJlTwaIURFkmBFCCFqkr/+guho8Pev7JFY1liERbualEVsqhaA8IRMIpOzCHR3qORRCSEqgiwDE0IIIYRF23s5sdDXOy/J7IoQNYUEK0IIIYSwaHsvJwHg5mADwE5ZCiZEjSHBihCi3Kw4GkWfz7fz68FrKIpS2cMRQlQDiqKwPz9YmdK7AQB7w5LI0xsqc1hCiAoiwYoQolykafN4e80ZwhMymbHiFE8vOkJyppQYFULcnYvXM0jKzMXORs2jnYJxd7QlPUfH8ciUyh6aEKICSLAihCgXP+25SppWh2ctDTZWKjaevc7A2TtluYYQ4q4U5Ku0r+OOnY0V3Rp4ArIUTIiaQoIVIcRdS9PmsWBXOABvDW3GysldaeBVi/j0HMYtPMi7a8+izdNX8iiFEFVRQb5Kl/rGIKVHo9qAlDAW5perM7D6eDSbz16v7KHUaBKsCCHuWsGsSkOvWgxu7kuovwtrn+nG2E7BACzcc4URc/ZwIS69kkcqhKhK9AaF/eHGYKVzfQ8AejQ0Bi2nolNlqakwC22enl/2XaXXp9t4/rfjPPnLYcLiMyp7WDWWBCtCiLty86zKc30bYqVWAWBva8V7I0L54f/a4eFoy/m4dIZ+s5sf91yR5HshRJmciUklXavDSWNNqJ8zAF7OdjTxcUJRYJeUMBblKDNHx3c7L9Pt4228ufoMMfm9fQDWnIipxJHVbGYPVmbOnEn79u1xcnLCy8uLESNGcOHChUL7KIrC22+/jZ+fH/b29vTq1YszZ86Ye2hCiHLw31mV/+rb1JsNU3vQu3FtcnUG3ll7lvE/HiI+XVvM0YTZPfwwPPGE8XNls6SxCIu0L38JWMd67lhb/XvJ0jN/KdjOi4nFPk+I25GancdXWy7R9eOtfLj+PIkZOfi72vPe8BA+ua8FAGuOR8uNtkpi9g72O3bsYMqUKbRv3x6dTsfrr79O//79OXv2LI6OjgB88sknzJo1i59++olGjRrx/vvv069fPy5cuICTk5O5hyiEuEMlzar8V20nDQvHt2fR/gg++OscOy4mMHD2Lj6+rwX9mnlX5JDFp59W9gj+ZUljERapIF+lc36+SoGejWozf2c4Oy8loCgKKlXxv3uEKE1SRg4/7L7CL/siyMjRAVDX05FJveozsrU/NlZqMnN0vLXmDFeTsjgZlUrLQNfKHXQNZPZgZcOGDYW+/vHHH/Hy8uLIkSP06NEDRVGYPXs2r7/+OqNGjQLg559/xtvbm6VLl/L000+be4hCiDt0q1mVm6lUKsZ1rkPneh4899txzsWmMeGXw4zpGMQbQ5riYGv2X0dCiCokV2fg0NVkALrk56sUaFvHDXsbKxLSczgXm06z/CViQpRFXKqW73aGs/RgBNo8Y7+ext5OTOnTgCHNfQvdeHPUWNOvmTdrTsSw+niMBCuVoMJzVlJTUwFwd3cH4MqVK8TFxdG/f3/TPhqNhp49e7J3794Sj5OTk0NaWlqhDyFExSnrrMp/NfR2YtWULjzVox4ASw9c496vd3MqKtVsYxX/uhCXzowVJ4lJya7soQhRqpNRKWTl6nF3tKWxd+FVFhprK1PC/U7JWxFlFJmcxesrT9Hjk20s3HMFbZ6BFgEufDe2LX8/351hLf2K/Vs2vJUfAGtPxqA3yFKwilahwYqiKEybNo1u3boRGhoKQFxcHADe3oWXgnh7e5seK87MmTNxcXExfQQGBppv4EKIIm5nVuW/NNZWvDa4KYuf6Ii3s4bwhExGzt3Dt9svyx8CM3tz9Wl+PRjJS3+ekPXXwqIVLAHrVM8ddTEXkAVVwaTfiriVywkZTP/9BL0+286SA9fI1RvoUMednx/vwOopXekf4lPsz1iB7g1r4+pgQ0J6jimPSlScCg1WnnnmGU6ePMmvv/5a5LH/rje91RrUGTNmkJqaavqIjIws9/EKIYp3p7Mq/9WtoScbnu/BoFAfdAaFjzecZ8z3++Wuv5mExWfw4WsPcuqLB3j3lQfYcLrkG0IVokkTcHY2fhbiPwqaQf43X6VAQb+Vw1dvkJWrq7BxiarjbEwaU5Ye5Z5ZO1h+NAq9QaF7Q0+WPdWJ3yd2pmej2mXKd7K1Vptuyq0+Hm3uYYv/qLBg5dlnn2XNmjVs27aNgIAA03YfHx+AIrMo8fHxRWZbbqbRaHB2di70IYSoGHczq/Jfbo62zH2kDZ/c1wIHWysOXElm4OydbDxTyRfS1dDSA9dwyM3GKTcbh9xs3v/rHNm5ldisMyMD0tONn4W4iTZPz9FrKUDRfJUCdT0dCXS3J1dvMPViEaLA36diGfzVLv46GYuiQL9m3qye0pVFT3SkY73if6ZKM7ylcSnYhtNx0uS4gpk9WFEUhWeeeYYVK1awdetW6tatW+jxunXr4uPjw6ZNm0zbcnNz2bFjB126dDH38IQQt6m8ZlVuplKpeLB9IOuf607LQFfStDqe+fWYlDcuR9o8PcuPRpm+tlKriE7J5tvtYZU4KiGKdzTiBrk6A97OGup5Oha7j0qlokfD/G72F2QpmCjs+/y/U70a1+bv57vz/bh2d5Uc376OO34udqTn6Nh+Ib6cRinKwuzBypQpU1i8eDFLly7FycmJuLg44uLiyM42LvNQqVRMnTqVDz/8kJUrV3L69GnGjx+Pg4MDY8aMMffwhBC3qTxnVf6rjqcjf07sTKtAV3J1Bn7YfaVcj1+T/XUyltTsPFNw6WxnA8C8neFcS8qqzKEJUURBvkqX+p6lLtMpWAq285L0WxH/ikzO4ui1FFQq+Pi+FjT1vfvVN2q1iqH5ifarj0uDyIpk9mDl22+/JTU1lV69euHr62v6WLZsmWmfl19+malTpzJ58mTatWtHdHQ0GzdulB4rQlgYc8yq/JeNlZpn+zQAYPG+CFKz8sr9NWqipQevAeBgawWAxkZNtwae5OoMvLvubGUOTYgi/s1XKX25Tpf6HlirVVxJzCQyWYJuYfTXqVgAOtZ1x9vZrtyOO7ylPwBbzseTppW/TRWlQpaBFfcxfvx40z4qlYq3336b2NhYtFotO3bsMFULE0JYDnPOqtysTxMvmvg4kZmr55d9V832OjXF+bg0jkTcwFqtwj4/WFEBbw9rhrVaxeZz19kmyxqEhcjI0XEiv5R551vkFjjZ2dAmyA2AHVIVTORbd9I48zE0P8+kvDT1daKhVy1ydQb+qewCJTVIhfdZEUJUTRUxq1JApVIxqVd9ABbuuSKVfu7S0gPGWZX+Id5Y3bSkpoGXE491rQPAu2vPkqOTpFFR+Q5dTUZvUAh0tyfQ3eGW+/doJCWMxb/CEzI4HZ2GlVrFoNDyvammUqlMPVfWnJClYBVFghUhRJlU1KxKgSHNfQlyd+BGVh6/HZTS5HcqM0fHiqPGUptjOgQXefy5vg2p7aThSmKm5AgJi1DQx6JLveJLFv9Xz0ZegDHPJU9vMNu4RNWw7qRxCVjXBp64O9qW+/GH5S8F2xOWKEVgKogEK0KIW6rIWZUC1lZqJvY0zq58tzOcXJ1chNyJtSdiyMjRUcfDodgSsE52NswYZOxz8vWWMGJTpceNqFwF+SpdGpStvGyInzMejrZk5Og4GnHDnEMTVYBpCVgL89xUC/JwoHWQKwYF1p2INctriMIkWBFC3FJFz6oUuK+tP15OGuLStKw8FnXrJ4giChLrH+4QVGKH5pGt/WkX7EZ2np4P15+vyOEJUUhKVi5nYtKAW+erFFCrVXQr6GZ/SZaC1WQX4tK5eD0DWys1/UN8zPY6BT1XVstSsAohwYoQolSVMatSQGNtxYTu9QCYtyMcvUGpsNeuDk5FpXIyKhVbKzX3t81vxjtvHvz+u/FzPpVKxTvDQ1CrjDMxBctwzK6YsYiabX94MooCDbxq4XUbVZwK+q3svCgljGuytfnBQ49GtXGxtzHb6wxp4YdaBSciU7iamGm21xFGEqwIIUpVWbMqBcZ0DMLF3oYriZn8fVqm3G/H0oMRAAxq7oNHLY1x4733wgMPGD/fJMTPhTEdgwB4e80ZdBWx9r+EsYiaa19ByeLb7DDePT/J/lR0KokZOeU+LmH5FEVhrakKmHn/VtV20tC1gfFnThLtzU+CFSFEiSpzVqWAo8aa8V3qADB322UUpWrOrlR0zk26Ns/UuGxMh6AyPefF/o1xc7DhwvV0Fu2PMOfwhCjWvvCCZpC3F6x4OdnRLL/x325pEFkjnY5OIyIpCzsbNfc09Tb7641oZUy0X3U8usr+XaoqJFgRQpSosmdVCozvUgcHWyvOxqaxvYqVJ9Xm6Zn62zGav/0PGyqwLv+q4zFk5epp4FWLDnXdy/QcVwdbXhzQGIBZmy7KHWpRoRLSc7h4PQOATrc5swI3dbOvYr8jRPkomFXp29QbR4212V+vf4g3Gms14QmZpjwrYR4SrAghimUJsyoF3BxtTbMD3267XGnjuF2JGTk8/P1+Vh2PIUdn4I1Vp0nNNn/XY0VRWJI/MzKmQxCqm3qrcOQI7Ntn/FyMh9oHEervTLpWxycbzJxsf4uxiJqlYFalma8zbndQctbUb+VSIgbJb6tRDAaFdSfMWwXsv5zsbEwzOLIUzLwkWBFCFMtSZlUKPNm9HrZWag5eTebgleTKHs4thcWnM3LuHo5dS8HF3oYAN3sSM3L4fOMFs7/2scgUzselo7FWc1+bgMIPDh8OXboYPxfDSq3inWGhAPx+OIrjkSnmG+gtxiJqloJ8ldtdAlagXbA7DrZWJGbkcC5O7nTXJEev3SAmVUstjTW9GntV2OsOK2gQeTxGCsCYkfnnyYQQVY4lzaoU8HGx4762Afx68Bpzt4fRoW6Hyh5SifaEJTJx8RHStTqCPRxYOL4911O1jFlwgEX7I3igbSDNA1zM9vpL9hvLFd/bwg8Xh9uviNM22I372gSw/GgUb60+zcrJXUsseyws1x+HI1GpVP9WgrNwewuaQZaxv8p/2Vqr6VzPgy3n49lxMYEQP/P9HxOWpaARZP9m3tjZWFXY6/ZqXBsnO2vi0rQcvJJM5zsMtMvCYFB46c+THLqajFplrOKoUoFapUJF/uf87cbH/33s323/fh4Y4sPj3eqabbzlSYIVIUQRljarUmBiz3osO3SN7RcSOBOTapEXI78fiuS1lafQGRTaBbvx3bh2uDvaUr92LUa08mPV8RheX3WKlZO7miUITM3KMzVFe6RT2RLri/PKoMb8cyaOE1Gp/HEkktHt7/xYouLtCUvkpT9PAsZlgQ+0C6zkEZUuOiWbiKQsrNQq2tcpW45VcXo2rs2W8/HsvJjA5F4NynGEwlLpDYopWBma3/+komisrRgc6suyw5GsORFt1mDlp71XWX60/PqNFRSkqAokWBFCFGKJsyoFgj0cubeFH2tOxDB3+2XmjGlT2UMyMRgUPtt4gbnbjTk1w1r68cn9LQrd5XttSFO2nI/nZFQqSw9EMLZznXIfx/KjUeToDDTxcaJ1oOsdH8fLyY6p9zTk/b/O8fGGCwwM8b2jWRpR8fL0Bt5Ze8b09esrT1Ovdi3aBrtV4qhKV9Dbp7m/C052d/5zVtBv5UjEDTJzdBWSaC0q14HwJBIzcnCxtzGVE65Iw1v5sexwJOtPxfH2sBA01uU/sxOekMEn/xhzCF/s34jO9T0wKMa/OwpgUBQUBRTF+G+DYtyuKAoGAzfto+TvA8EeDuU+ThXKgIcAAPQaSURBVHOR/8VCiEIsdValwKRe9VlzIob1p2IJT8igXu1alT0ktHl6pv9+gr9OGe/uPdenAS/0a1Q4sR1jAPDSgMa8ufoMn/xzgQGhPng5lb3x3a0oisKSA8bE+kc6BRd5/dv1f13qsOxQJJfiM/hi80XeHhZSHsMUZrZoXwQXr2fg7mhL60BXtpyPZ+LiI6x9phs+LuX381ae9t5lvkqBOp6OBLk7cC05i32Xk7inmflL2IrKVVAFbFCoD7bWFZ+K3bGeB15OGuLTc9h5MZF+5fwzp89f/qXNM9CtgSdTeje469/tVY0k2AshTCx5VqVAU19n+jbxQlFg/o7wyh6OqeLXX6disbFS8fkDLZnWv3GJf0we6RhMc38X0rU6Zq4v32pbB68kczkhEwdbK0a0uvvlEDZWalOA8su+q5yLlaRlS5eYkcMXmy8C8NKAxnz1cGsaezuRkJ7DU4sOo83TV/IIi1IUxTSz0qX+3d8Z/7cqmJQwru7y9Ab+zi8JX9FLwApYqVWm1159PLrcj79w9xWORNyglsaaj+9vUeMCFZBgRQhxE0ufVSkwuXd9AFYciyI2NbvSxnHpejoj5vxb8WvREx257xbJzFZqFR+MDEWlgpXHok13lMvDkgPGxPrhrfzuainNzbo28GRwcx8MCry15ow0P7Nwn264QLpWR6i/Mw+2C8RRY83349rh6mDDyahUZqw4ZXHfw6tJWcSmarG1UpfLUrWCpWA7pN9Ktbc7LJGUrDw8a2nuqDdPeSloELn53HUycnTldtyw+Aw+za8g+b97m+Lval9ux65KJFgRQgBVY1alQNtgdzrWdSdPr/D9ziuVMoY9YYmM+nYvUTeyCfZwYMXkLmX+Y9kiwJVHOwYD8L9Vp8ulu31SRo6p6eSYDsF3fbybvT6kGXY2ag5eSZZ+AhbsRGQKvx+JBOCdYaGm/8NBHg7MHdMGK7WKlcei+X5X5c9I3qwgYG8d5Iq97d2v9+9c3wNrtYqIpCwikjLv+njCcq3N/300uLlPpf7NCvV3pp6nI9o8A5vOlk/zX53ewPQ/TpCrM9CzUW0etPAiGeYkwYoQAqg6syoFpvQ2Vvr59eA1kjNzK/S1lx26xv8tPEi6Vke7YDdWTu5K/dvMnXlxQGM8a9lyOSGzXC4e/zwSRa7eQIsAl3Ivi+zvas8z+ef7w/XnyCzHO4eifBgMCm+uOYOiwKg2/kVmKLo08OTNe5sB8NHf59l+Ib4yhlms8lwCBsZmfQXvX7rZV1/aPD2bzlwHKm8JWAGVSmXqubLqWPnc0Pl+1xVORKbgZGfNR/c1r5HLvwpIgr0QVZyiKFy8nsGNrFyyc/Vk5erJytXlf9aTXfDvPD1ZOcZ/Z+fpTY8X7FtwwW/psyoFujf0JNTfmdPRafy05wrT+jc2+2saDAqfbrzAt/kVv4a38uPj+1rcUV1/F3sbXh/SlBeWneDrrZcY1tKPQPc7q85iMCj8etC4BOyRjuYpMfxk93r8fjiKa8lZfL01jFcHNTHL64g7s/xoFCciU6ilsebVgcV/b8Z1DuZcbBq/HYrk2V+PsWrK7QfZ5e3mfJXyLPvao1FtDlxJZsfFRLNU3ROVb8fFBNJzdPi62NE2qPIr3Q1r6cfszZfYHZZIYkYOnrU0d3ysi9fT+WKTMffsraEh+LrUzOVfBSRYEaIKUxSFqcuOs/p4+dzJaRHgUiVmVcB4J2tKrwZMWnKUn/ZeZUKPeuWWp1GcIhW/+jbkhXsa3tXdrhGt/Pn9UBT7wpN4e80ZFvxfuzs63t7LSVxNysJJY33rO4znzhnrW97m69jZWPHW0GY88fNhftgdzgPtAu7+QvcOxyIKS9Pm8fEGY7GG5/o2wMu5+IpfKpWKd4eHEhafweGIG0z45TCrpnTF2Yz/b27l4vUMkjJzsbNR0+ouSm3/V89Gtfn0nwvsu5xIrs5QKVWihHkVLAG7t4WvRTStrVe7Fi0CXDgZlcr6U7GMu8MgOU9vYPrvJ8jVG7inqRf3tfEv34FWQRKsCFGFzd1+mdXHY7BSqwj2cMDB1goHG2vsba1w1Fhhb2Nt3GZrZdxma3zMwfRhbXrMwdaaADf7KjGrUmBAiA/1ajsSnpDJ0gPXeLpnfbO8TmJGDk/+fJjjkSnYWKn4aFSLWybSl4VKpeK9ESEM+nIXW87Hs+nsdfqH+Nz2cZYeNJYrHtnGHwfbW/xad3K6k6EC0LepN70b12bbhQTeWXuWnx9rf3dLE+5iLOJfX26+RGJGLvVqOzK+S+kdqW2t1Xz7aFuGfbOb8IRMnv/1GAv+r32l/b8vyFdpX8e9XAOKZr7OeDjakpSZy5GIG2Zt1nc3CvpeWMLFdlWSlatjyznjUsZ7W1TuErCbDWvpx8moVFYfj7njYGXe9sucik7Fxd6GD0fW7OVfBSRYEaKK2nY+ns/yq4S8OzyERzqWb1J1VaBWq5jUsz4v/XmSBbuv8H9d6tzRkqzSXLqezmM/HSLqRjYu9jbMH9u2XKvONPByYkL3eszdfpl31p6lW0PPWwccN4lP07Ixf932GDMtAbvZm0ND2BO2k50XE+44uBLl59L1dH7eexUwLhcpywV/bScN341tx/3z9rLtQgKf/nOh0pb17S3nfJUCarWK7g09WXU8hp2XEiwyWAmLT2fS4qPYWqv59alOlTrDVdVsORdPdp6eIHcHWpRzjt7dGNrSjw/Wn+NIxA0ik7Nue2nv2Zg0vtp6CTD+XS9plrSmkXlRIaqg8IQMnvvtGIoCD3cIqpGBSoHhrfzxc7EjIT2HP49Eldtx8/QGvt8Zzog5e+6o4tfteLZPQwLc7IlOyebLLZdu67m/H45EZ1BoG+xGEx/nch/bf9X1dOTJ7sa79++sPUuaNs/srymKpygK76w9i86g0K+ZNz0b1S7zc5sHuPDJ/S0AmLfjsln6Q9yK3qCwP7wgWCn//1c9GxvPhyUm2e8PT2LU3L1cis/gTEwa/1t1urKHVKUULAEb2tLXomYevJ3t6Jz/N+J2Kyfm6gy8+McJ8vQKA0K8GVbJRQMsiQQrQlQx6do8Jvxy2FSJ6p0a3lXc1lrNUz3qAcaLLp3+7ssA7w1LZNCXu/hg/Tkyc/V0rOt+RxW/ysre1sr0ffxh1xUuxKWX6Xl6g8KvB42lasucWD9rFrz9tvHzHXqmTwMC3Y3B1Yzld9G3oxzGUpP9cyaO3WGJ2Fqr+d+QZrf9/OGt/JnUy7h08uU/T3IyKqWcR1i6szFppGt1ONlZE+JX/oF29/x+K2di0khIzyn349+pVceiGfvDAdK0Opr5OmOlVrH6eAwrj5XfzZbqLE2bx/YLxgC0squAFWd4flWwNbeZSzpnWxhnY9Nwc7Dh/RGy/OtmEqwIUYUYDAovLDvB5YRMfJztmPtoG0kcBUa3D8LD0ZaoG9msPXnnxQZiUrKZsvQoYxYcICw+Aw9HWz65vwW/TuiEu6NtOY64qL5NvenXzBudQeF/q06XKQDYeTGB6BTj8rQyF0aYNQveeeeuAgQHW2u+frgN1moVf52KZWl+JbLbVg5jqam0eXreW3cOgKd71CPI484qyb3YvzF9mniRozPw1C9HiE/XlucwS1WQr9KxrjvWVuX/e8yzlsYUBO0Oq/zZFUVR+GbrJaYuO06eXmFIc19WTO7C830bAvC/VWe4lpRVyaO0fBvPXCdXb6CBVy0ae1te3tvAUF9srdRcuJ7O+bi0Mj3ndHQqc7aFAfDeiFBqO915JbHqSK5yhKhCZm+5xOZz17G1VjN/bFu8nGQ9KxhnJh7vZlya9O32yxgMt3enP0enZ+72MPp+voO/TsaiVsH/dQ5m6/RePNgusMKSX98eFoK9jRUHryaz/Oitl+UUdKy/v21Auefq3EqrQFdeHmgsF/3u2rNl/qMsyse8HZeJTsnGz8WOyb0a3PFxrNQqZj/Uivq1HYlL0zJp8VFydPpyHGnJ9ppKFpdvvsrNeuQvjdtxoXKDlTy9gRkrTvHZRmM52qd71OPrh1tjZ2PFlN4NaF/HjYwcHc8vO0ZeOcwOV2fr8m9IDW3hZ5GzDy72NvRuYvy5K0vPlRydnhf/OIHOYAxgLalggKWQYEWI25Sj03PoajJbz18vl87jZbXhdBxf5eczfDAilJblWOazOni0UzBOGmsuXs9g87nrZX7ejosJDJq9i082XCA7T0/7Om6se7Y77wwPxcWhYhNe/V3tef4e413WD9efIyWr5GaXMSnZbD1vfJ8PdzB/Yn1xnuxWj16Na5OjMzBlyVGycqVZZEWITM4y9fp5fUizu+767mxnw/fj2uFkZ82RiBu8uerMnS/tK6NcnYFDV5MB8+SrFOiRvxRs16XE276JUV7StXk88fNhfjsUiVoF7w0PYcbgpqabIFZqFV+MboWTnTXHrqXw9W3mrdUkyZm57L5knJG7t6Xlltkf3spYbnjtiZhb/tx9vSWM83HpeDja8u7wmr2suyQSrAhxC9o8PXsvJ/LFpos8/N1+Wry9kQfm7ePxnw4z5vv9xKeZf9nExevp/8/efcdVVf8PHH9d9pAhIEMZggPBLQ7QHOXWLBtqmZqWlWnTpmXzW1k/y2w4y7IyTc3ShuXe4kJwb5QlG9nz3nt+f1y4iYCCcrkXfD8fj/sAzv3ccz7nKNz7Pp/P5/3mpVVRAEzs2ZxRXX0Mfsz6xsnWknFhukQD87ZfuOGHrfgr+Tz10yEe/e4A0Wl5uDWyZs7ojqx6KoxgA8yfr67HevnTyr0RGXnF/N+GM1W2W3kwDq0CoQEutHQ3TmE/MzMVn43qiIejNRdS83hn3Qmj9ON289H6UxSptYQFuDKsfe1kYwto0oivx3bBTAUrD8XpM4wZytH4TPKLNbjYWxl0Kk+IX2PsrcxJzyvmZGLdj/4lZRUyamE4O8+mYmtpzuLxXSstUund2I4P72sPwNfbznPgYkYd97R++Pd4EmqtQtumjkYvaHo9d7Vxp5G1BQmZBUTEXqmy3ZG4TBbs0N14+GBkO1xvoZBkQybBihDXyCtSs/NsKrM3nGbUwr10eHcjY7/ZzxdbzhEenU6RWourvRWNrC04FHOFu7/aTUSM4d5YsvJLePLHQ+QVawgLcOXN4UEGO1Z991gvf6wtzDgSl6mvin2twhINX245x4A5O9hwIhlzMxWP3+HP1pf7cn8Xb6NPK7CyMOODke0AWHEglshK3ujUGi2/HNRNARtr5Exwro2smTumM2YqWB0Rz9rIus8qdTvZcz6Nf44nYW6m4t172tbq/9e+rZswY6ju78v//j7FnvNptbbva+mr1ge4GnSapZWFmX6a2Y46zgp2KjGb++bv4XRSDm6NrFn5VCgDgj2qbH9Px6Y80MUbrQIvrowiq0Ay7V3rv0KQpj1VysbSnMGlad2ryrRXWKKb/qXRKtzTsSlD60lBZmOQYEXc9rILS9h6OplZ609x77w9dHhvIxO+O8C8bRc4eOkKxRot7g7WjOjYlA9GtmPz9D4cmjmAP5+9g9YejUjJKeKhxfv4aV9MrU+d0GgVnv0lkkvp+TRztuXrsZ2xNMBC1IaiiYM1Y7rpRp3ml06TudrW08kMnruTOZvOUliipYe/C+uf681bdwebVI2DHgGuPNDFG0WBN38/XiHD2dbTKSRnF+Fqb8XgtlV/+KkrYS1cefYu3fS1N38/xsW0PCP3qOaK1VqOJ2SZdCrmEo2Wd/7QjV6ND/Uj0LP2RyQm9/bnvs7N0GgVpi0/bLAF3/+tVzF8/ZO+rXXBSl2mMN55NpVRC8NJzCqkpXsjfp/akw7ezjd83Xv3tsXP1Y6EzAJmVjPRxu0iJbuQfRd1/2/u7mD6H+zLsoL9fTSx0nVIn28+y7mUXNwaWd/2WT1vRIpCittOVn4J+y6msz86g/0X0zmVmM21U0qbOdvSI8CFHv4u9PB3xc/VrsIdTH83e36f2otXfj3C+mNJvLX2OMfiM3n/3na1tth59oYz7Dybio2lGYsnhMgQcTU82SeA5ftj2X0+jai4TDr5OBObns97f55gy2ldxWMPR2veHB7MiA6mlaP/ajOGtWHzqWROJmbz074YJvX6rzK5fmF9V2+sLep2YX1Vnuvfin3R6ey/mMEzyw/z29SeJtO3G7mYlsfUnw9zKjEbczMVIb6N6RvYhH6BTQj2cjSZ/yM/hsdwPiUXF3srXhzQ2iDHUKlUzLq/PdGpuRyJz2Lyjwf5bWovGlnX3seFwhKNfmpMXQQrZYvsI2KukFNYgoOBb0ysOhjHG78fQ61V6OHvwuLxXau9/q2RtQVzx3TiwYXh/HnkMv1aN+GBEG+D9re+WH8sEUWBzr7ONS62aAw9W7ji1siKtFzdOps727jrn4uIucI3O6MB+Oi+djQ2cLbJ+k5u0Yrbhlar8GP4JUJnbeGpnyL4bs9FTlzWBSr+bvaM6erDnNEd2f3anex5/S7mjO7EmG6+NHezr/LDir21BfPGduH1oW0wU8GqQ/GMWRTO5cyCW+7vH0cus7B0Luv/PdiRtk1Np0qvKfNubKdf3PjllnPM2XSWAZ/vYMvpFCzMVDzVJ4AtL/Xjno6mmUmmjFsja322rc82niW5dG1UXEY+O8/p7hCPNdLC+sqYm6n44qHOuNhbceJyNrPWnzZ2l6rlr6OXGfHVbk4lZmNlboZGq3DgUgazN5xh+Je76fHRFl5ZfYS/jyYadVpOak4RczfpMkm9OjjQoMkfbCzNWTS+K+4O1pxNzmX6yqhaXZx+OOYKxWotHo7WBLjZ19p+q+Lnao+fqx1qrVLl9NDaoCgKn208w6trjqLWKozs1JQfH+9e43+rzr6NebE00cbb644Tk274kcq8IjUz1x7j1V+PkGOio4t/Hk0EdFnA6gMLczP9dLWrp4IVlmh4ZfURtArc37kZg9rWzrqzhkyCFXFbiL+Sz7gl+3l73QkKSjQEuNkzLtSXrx7uzP43+rPt5X588mAH7u/ijXfjmt2xUalUTOnbgh8e646znSVH4rMY8dXuW3pTPHE5i1d/PQLAU30DpJJtDT3dLwCVSjdd6sst5yhWa7mjpRv/vtCHGcOCavUusSE93M2Xjj7O5Bap+d9fJwHdOhZFgd6t3PBzNfwHvZrwdLLhs1EdAVi69xIbTiQZuUdVK1JreHvdcZ5ZHklukZruzV3Y+eqd7Hr1Tv43sh0DgtyxtTQnJaeI1RHxTFt+mC7/28SohXv5eus5jidk1Wl2qf/79zQ5RWo6eDsxug4SbHg62bBwfAhW5mZsPJnM9FVRFBTXTkrjsilgPVu41dkNg7KsYGWBfm0rVmt5adURvtqqq5XxzJ0t+XxMp5seXXy6X0u6+7uQV6zhuV+iDJrOODY9n/vn72XZvlhWHYpn1MJwkrLqrt5OdSRkFhARcwWVCobXgylgZe4pnQq28WSyPlvipxvOEJ2Wh7uDNe+MkOlf1SHBimjQFEVh1cE4hszdxd4L6dhamvP+vW3ZPL0vH4xsz4iOTfFwrJ1aJb1bNeHPZ+4g2MuR9Lxixi3Zz7e7oms85zgjr5gnf4ygsERLn9ZNeHVwm1rp3+2kpbsDw9rp3tCaOtkw/5Eu/PR4d6NlzbpZZmYqPhzZDjMV/HU0ka2nk1l1qIYV66/VpQuEhuq+GsCdbdx5orduytqrvx4l4XqjjAbuS1Vi0vN4YMFefgyPAWBqvxYsf6IHnk42+LjYMT7Uj28f7UbUOwNZ9ngPJt/hT0v3Rmi0CgcvXeHTjWe5+6vddP9oCy+tOsKfRy5fN830rYqKy2R1hK66+bv3tK2zuj9dfBvzfw92wNxMxdqoy9w3f0+trEcqKwZZF1PAyvQtnQq282ztJw3IKijh0e8O8FtkAuZmKj6+vz0vDw68pUCsLJ2xo40FR+Iy+WKzYdIZ7z6Xxoivd3MmOQd3B2vcGllzOimnNDGA6dRO+ru0tkr35i619p5dFzr7OOPrYkd+sYZNJ5M5eCmDJXsuAvDxA+3rPD1+faVSGsjqrezsbJycnMjKysLR0XhpR4XpSM4u5PU1R9lWWgwsxK8xn47qiL+Bpx0UFGt44/dj/F6aFemejk355IEO1aqFUKLRMmHJAcKj0/FzteOPaXfIH7OblF+sZs/5dHq1dMXOqn6MpFTl3T9OsHTvJWwtzSko0eDuYM2e1+8y2WQLxWotoxaFcyQukxC/xvzyZKjJ9PWfY4m8+utRcorUNLazZM6YTtwZ6H7jF6Ibod1+JpXtZ1LZeyGN/KtGGsxUuuk7fVs34a427rRtWjtrXbRahfvm7+FIfBYPdPHms9Edb3mfNbUvOp1nlkeSlluEg7UFn47uqM90VFO5RWo6vbcRtVZh92t31ngk+2blFanp9P5GSjQK21/uR/Naeh+Iv5LPpO8Pci4lF3src+aPC9EHRrXhr6OXeWZ5JCoV/PJEKD0CaifAUxSFJbsv8tH6U2gVXZHXReNDKFZrmbT0IOdTcnGwtmDBuBDuaGW4op3VNeKr3RxLyOKDke0YF2rcDIg19dnGM3y19Ty9WrqScKWAS+n5jArxZvaouv9dNjXV/ewuwYpocBRF4Y8jl3l73QmyCkqwMjfj5cGtefyOAMzr6I6koij8sPcSH/x9CrVWoY2nA4vHd8XX9fpvzO/9eYLv91zC3sqc36f1orUB6w+I+iOnsIT+n+0gJacIgGfvaslLgwKN3Kvri03PZ/iXu8gpUjO1XwteHWLcEcIitYZZ60+ztLR+SIhfY756uDNNnW1van/Fai2HLmWw/Wwq28+kcDY5t9zzzZxtGdTWg8FtPenW3OWm//asOhjHq2uO0sjagq0v98XdwTh3lZOzC3lm+WEOXtItjH+qbwCvDArEooZB6LYzKUz6/iC+LnbsfPVOQ3S1Sg8tDmdfdAbv3dOWR3s2v+X9HYvP4rEfDpKaU4SHozXfTexmkLWFr6w+wuqIeJo62fDP831u+QZWYYmGN347xm+lN9QeDPHmg5H/JYbJyi/hyZ8Osf9iBhZmuoQLxqztdSktj36fbsfcTMWBN/rXu0Qz51NyGDBnp/5nLycb/n2hD062ciOyup/dTeNWlxC1JD23iKk/H+b5X3Q56ts3c+Kv5+7gyT4t6ixQAd06lom9/Pl5cg/cGllxOimHEV/vZvuZlCpf82tEPN/vuQTAZ6M7SaAi9BxsLJl5dzAAKhX69MymzNfVjo8f6ADAgh0X2GWgtQLVEZeRz+iF4fpA5ak+AfzyZOhNByqgq9/Rs6UbbwwLYuOLfdnz+l18dF97BgZ7YGNpRkJmAd/vucRDi/fR7cPNvPrrETafTKawpPrrPrIKSvjkX12iguf7tzJaoALg4WjD8idCefwO3RS/RTuiGb/kAKmlAXR1XV1fpa710U8Fu/n/i4lZBayNTGDGb8cYszic1Jwi2ng68PvUXgZLgvLuPW1p7mrH5axC3lh77JbSGSdmFTB6Ubh+yto7I4KZ/WCHchksnews+fHx7tzbqSlqrcIrvx5l7uazRkuj/FfpFLCeLVzrXaACumnJwV7/fRD/+IEOEqjUkIysiAZjw4kk3vjtGOl5xViYqXiufyue7tfC6NNPErMKeHrZYaLiMlGp4OVBgUzt16LcFJEjcZmMWhROsVrLc/1bMX2gYdKSivpLURS+33MJF3srRnZuZuzuVNsbvx9j+f5Y3BpZsf753nX+gXvDiSReWX2E7EI1TraWzBndkf5Bhq1NU1CsYde5VDacSGbL6WQy8//LrmRnZU6/wCYMbuvJnW3cr1vf5/0/T/Ldnou0aGLPP8/3wcrCNO4v/n00kVd/PUJesQYPR2vmP9KFED+Xar327q92cTwhmy8e6qTP2ldXjidkcfdXu7GzMifq7UE3vJ6KohCXUcC+i+kcuKhLdR+XUX4NVu9Wbsx7pIvB6zQdicvkgQV7UWsVZj/Y4aZGOg5dymDKssOk5RbR2M6SeWO70LNl1VO8tFqFzzadYd42XVbKB0O8+ei+9nX+/3Dw5zs5k5zD/z3YoU6SSxjCsn0xzFx7nHGhvnwwsr2xu2MyZBrYbSgjr5gj8ZkcidM9TiZm4+diz+Te/gwI8qizRZl1LSu/hHf/PKFfIxLo4cBnozvSrpnppPotUmt4948TrDigWxw9uK0Hn43uRCNrC1JyCrnnqz0kZRcyIMiDxeNDGuy/lTAB99wDqanQpAn88YfBD1dYomHkPF0V7ztauvHjY93/+/9twL4Uq7V88u9pluzWLWbt7OvM12O70OwWRlNuhlqj5cDFDDaeTGbDiSQSr8qyZGmuIjTAlcFtPRkU7IH7VQuHzybnMPSLXWi0Cj8+1l0/KmAqzqfkMGXZYc6n5GJhpuLN4UFM7Nn8uut0MvOL6fy/TSgKHHijf7nzrQtarUL3j7aQllvE8id60LNF+Q/qiqJwITWX/RczdMFJdAZJ2eWzYpmpoF0zJ7o3dyGshSt9Wzep8VS4mzVv23lmbziDnZU565/rXaN1NysOxPL2uuOUaHTTkr+Z0LXatUqW74/lrXXH0WgVerV0ZcG4kDoronsmKYfBc3diaa7i0MyB9XZEouz/VosmjUw6ZX5dk2ClgSso1nDichZRcZkcic/iSFwmsRlVVxoOaGLPU30CGNm5Wb0p1FYd28+k8NqaoyRnF2Gmgqf6tuCFAa1M9hxXHIjlnXUnKNZoadHEnnmPdGHm78c5FHOFFk3sWTutl8ELlonbnLc3JCRAs2YQH18nhzyfksOIr/ZQUKLhlcGBTLuzpUH7En8ln2eWRxIVlwnA5Dv8eXVIG6OPTCiKwrGELDacSGLDiWTOp/y3zkWl0mUOGtzWk0FtPZm59hh7zqczKNiDxRO6GrHXVcsrUvPamqP8VVb/omNTPr6/PfZVpAbfcCKJp36KoKV7IzZP71uXXdWbvjKK3yITmNK3Ba8ODuR0Ug4HLqbrA5T0vPJZ3SzNVXTwdqaHvwvd/V0I8WtstL/RGq3C2G/2sf9iBh29nfj16Z43nDlQrNby/l8nWLZPV0h2eHsvZo/qUOOkI9vOpDDt58PkF2sI9HDg+0ndbmkaZXWVLU4fEOTOt492M/jxRN2SYKUB0WgVzqXkcCQuk6g4XWByJjkHTSU5/gOa2NPJ25mOPs608XRg+9lUlu2LIadQl9/b3cGax+7wZ2wP3zq7M2IIuUVqPvz7FCsO6P4AB7jZ8+nojnTxbWzknt3Y4dgrTF12mKTsQlQqUBRwsLZg3TO9CGhSv1LrinrICMEKwKpDcbz661HMzVSsfDKUrs1dDNKXLaeSmb7qCFkFJTjaWPDpqI4mW3TtQmouG0/oRlzKAqurWVmYsWV6X5Ou1l02PfGj9bpkIq3cG7FgXEilacLLstpNCPPj/XvbGaG3sDYygRdWRuFgY4EKyC59byxjbWFGF9/GdPd3oYe/C519G1crk2NduZxZwNAvdpFVUHLDxBVpuUVMXXaYA5cyqpyCXBPHE7KYtNTwCQXKKIrCXZ/t4GJanlGmDQrDk2ClntJoFWIz8jlxOYuj8bqRk+MJWeVSZJZp4mBNJx9nOvk409HbmfbeTpUOkeYUlrDiQCxLdl8kOVu3GLKRtQWP9PBlUi9/PJ3qT85y0C3QfOXXI8Rf0c0dntSrOa8ObmNSbyg3kppTxLSf/3sT+e7RbtzZpnrpU4W4JUYKVhRF4cWVUayNukxTJxvWP98b59YBtdaXEo2W2RvOsHhnNAAdvZ34emwXk/6gf7WkrEI2nUpm44kkwi+ko9YqvDCgFS8MqB/r1w5dymDa8sMkZxdhb2XO7FEdGda+fPG+QZ/v4GxyLgvHdWFIO+MU9kvLLaLHR1v0N/vsrcwJaa4LTHr4u9De28lkR+bLrD+WyNSfD6NSwfLJoZXWqzmekMWTPx7iclYhDtYWfPFwJ+5qc+trtQydqvlqZWuMbCzNiJg5sMoRO1F/SbBSD6TlFnEmKYdTidmcScrhTHIOZ5NzKCypWKm2kbUFHbyd6FgamHT0ccLT0aZGd0iK1VrWRSWweGc050qnH1iaq7ivczOe7BNAS3fTzT6l1miJv1LAD+GX9BmzvBvbMvvBjnVaWKw2lWi0/LwvhmaN7RgYbNgFv0LoGSlYAd2I6IivdnMxLY9BwR4semMkqlroS1xGPi+sjCIiRpdWd1Kv5swYGmT0aV83Kyu/hAtpuXT2ca5X89tTc4p4dsVh9kVnALrpd68NbYOluRmpOUV0+3AzKhUcnjmQxvZWRuvnttMpXEjNpVtzF9o2dayzNSe16bVfj7LyUBxeTjb883xvnO3+u57rohJ49dejFKm1BLjZs3hC11otiJtVUMKUnyIIj07H3EzFR/e1Y0y3myxSex2z1p9i0c5ohrf3Yt4jdVs4VtQNCVZMSEGxhnMpOZxOyuFMUg6nk3TBSVpu5RWPbSzNCPRwoEPpdK5OPk4EuDWqtUXXWq3CtjMpLNxxQZ8zH2BAkAdT+gbopmcYgaIopOYUEZ2WR3RqHhfTcrmYlkd0Wh6x6fmor5r29nB3X94cHkQjudMiRM0YMVgB3d3S++fvpVij5cR3k7FPTapWX9QaLbEZ+USn5hGdlqv7Wvp92d9SBxsLZj/YwWh37YXu32n2xjMs2qEb4ere3IWvx3Zm38UMnlsRSbCXI+uf723kXtZ/eUVq7i4N/Ie192Te2C5oFfi/f0+zqHR08c7AJsx9qLNBFqUXq7W8tuaoPrHNs3e1ZPrA1rUWXCuKwh2fbCMhs4AFj3RhaHv5nW6IqvvZ3aQ+6c2fP5/Zs2eTmJhI27ZtmTt3Lr17158/amVTuM4kZesDkzNJOVxMz6OykFClAj8XO9p4OhLo6UAbTwfaeDni62Jn0JogZmYq+gd50D/Ig4iYDBbtiGbTqWQ2lz5C/BozpW8L+rdxN0hWquzCEi6m5ukDkYtppYFJah55lUx3K2NjaUZrDwemD2xNv2pWnBZCmJZ2zZx4Y1gb3v3zJDmFJVybzygjr5joVF0wciEtlwspuoDk2hsW1+rq15g5ozvdsPCqMCwLczNmDA2is09jXl59hAOXMhj25W4CSjNX9aynI+Gmxt7agi8e6sT98/ey/lgSS3ZfZNe5NHaU1pCZ2q8FLw0KNNhnCSsLM+aM7oh3Y1u+2nqer7aeJ+FKAR8/0KFWRjQPx2aSkFmAvZW5TJEWphOsrFy5khdeeIH58+fTq1cvFi1axNChQzl58iS+vrU/vGgIey+kMX7JgUqfc7W3ItDTgUBPB4JKg5NWHo1qnJGjtoX4ubB4ggvnU3L5dlc0vx1OICLmCk/8eIgWTex5qk8L7u3cFGsLcxRFoUitpaBYQ36JhoJiNfnFGvKKNBSU6L7PL9boni/WPZ931feXMwuJTssjLbfqImJmKvBxscPfzR5/N3sC3Ozxd2tEQBN7PB1tJKWvEA3Aoz2bs+dCuv4mTmZBCY/N30N0Wl65miTXsrE00/89aNGkES2a2BPg1gj/JvYyympihrTzpLVHI55edpgzyTn6v/s9W0qwUls6eDvz0qBAPvn3NB/8fQoAW0tzZo/qwN0dmhr8+CqVipcGBeLd2JY3fj/Ob5EJJGYVsnB8yC2P5vx5RFcIclBbz3IFK8XtyWSmgfXo0YMuXbqwYMEC/bagoCBGjhzJrFmzbvh6U5gGlppTxB2fbKW1h4N+pET31ZEmDvWj6mpydiHf77nEz/tiyCnSZUmxtzJHpVKRX6zmOjc2a8TdwVoXjDSxLw1MGuHvZo+vi129nWcuRL1g5GlgZTLziyn2aoZ7dhqJjVwJm/aD/rmmTja0cG9EgJs9AU10wUlAk0Z4yQ2Leie/WM0bvx1jbdRlrCzMiJg5QNKz1yKtVuGRb/cTHp1OM2dbFk8IMWiGrqrsOJvK1GUR5BVraOneiD6tmlCs0VBUoqVYo6VYraVIrftarNZSpNFSVKLRP1fueY1WnwDhu4ldayUxgDBN9WrNSnFxMXZ2dqxevZr77rtPv/35558nKiqKHTt2VHhNUVERRUX/3aHPysrC19eXuLg4o65Z0WgVg07hqis5hSX8GhHHT+ExpORUXFtjaW6GnZUZtpbm2FqZY2tpoftqZYa9pQU2VubYWZnrvlpYYGtlRhMHa5q72uPraidvVkIYS5s2kJgIXl5w+rRRu1LSOhDL5CRyXJqw+49dNHezw8/V3ugjzqJ2KYrC5lPJ2FtbVCjEKG5dTmEJW06l0Ld1E6MmLjiVmMW0nw9X+pnhZrR0t2fVUz3lBmYDlp2djY+PD5mZmTg5VR1km8Q7QlpaGhqNBg+P8tGzh4cHSUlJlb5m1qxZvPfeexW2+/j4GKSPQgjRoCQmwnXeHOpURircUXW9CCHE7ScOaPKGsXsh6kJOTo7pBytlrs0ioShKlZklZsyYwfTp0/U/a7VaMjIycHV1valsFGXRnbFHZhoqub6GI9fWsOT6Go5cW8OS62tYcn0NR66tYZnK9VUUhZycHJo2vf4aK5MIVtzc3DA3N68wipKSklJhtKWMtbU11tbl14E4Ozvfcl8cHR3lF8OA5Poajlxbw5LrazhybQ1Lrq9hyfU1HLm2hmUK1/d6IyplTGIioJWVFSEhIWzatKnc9k2bNtGzZ08j9UoIIYQQQghhTCYxsgIwffp0xo8fT9euXQkLC2Px4sXExsYyZcoUY3dNCCGEEEIIYQQmE6yMGTOG9PR03n//fRITE2nXrh3r16/Hz8+vTo5vbW3NO++8U2Fqmagdcn0NR66tYcn1NRy5toYl19ew5Poajlxbw6pv19ckUhcLIYQQQgghxLVMYs2KEEIIIYQQQlxLghUhhBBCCCGESZJgRQghhBBCCGGSJFgRQgghhBBCmCQJVoQQQgghhBAmSYIVIYQQQgghhEmSYEUIIYQQQghhkiRYEUIIIYQQQpgkCVaEEEIIIYQQJkmCFSGEEEIIIYRJkmBFCCGEEEIIYZIkWBFCCBP07rvvolKpSEtLq/T5du3a0a9fP/3PcXFxTJ06ldatW2Nra4uLiwvt27fniSeeIC4ursLrd+/ezcMPP4yvry/W1tbY29vTtm1bXnrpJU6fPl2uraIo/PLLL/Tu3Rt3d3dsbGzw9vZm8ODBfPvtt9U+p82bNxMWFoadnR1ubm5MnDiRlJSUCu3Onz/P+PHj8fX1xdbWlhYtWjB9+nTS09PLtTtx4gRTp04lLCwMe3t7VCoV27dvr/TYzZs3R6VSVXhMmTKlQtvIyEhGjhxJ06ZNsbOzo02bNrz//vvk5+dXuC5ffvklbdq0wdraGi8vL55++mmuXLlSrt3Zs2d5+eWXCQkJwdnZGRcXF3r16sWvv/5aaV9TUlKYOHEibm5u2NnZERYWxpYtW653aYUQosGyMHYHhBBC3Jr4+Hi6dOmCs7MzL730EoGBgWRlZXHy5ElWrVpFdHQ0Pj4++vYzZ87kww8/JCwsjJkzZ9KqVSvUajVHjx7lhx9+YM6cOajVaszNzQGYMWMGn3zyCU888QSvvPIKDg4OxMTEsHXrVtatW8fkyZNv2McdO3YwdOhQhg8fzrp160hJSeG1116jf//+HDp0CGtrawBSU1MJDQ3F0dGR//3vf/j6+hIZGck777zDtm3biIiIwMxMd5/t0KFDrF27ls6dO9O/f3/+/PPP6/ahV69efPrpp+W2eXh4lPv55MmT9OzZk8DAQObOnYubmxs7d+7k/fffJyIignXr1unbvvzyy8ydO5eXX36ZAQMGcPLkSd5++20OHjxIeHg4lpaWAGzcuJG///6b8ePH061bN9RqNStXrmTUqFG89957vP322/p9FhUV0b9/fzIzM/niiy9wd3dn3rx5DBkyhM2bN9O3b98bXmshhGhQFCGEECbnnXfeUQAlNTW10ufbtm2r9O3bV1EURXn77bcVQImOjq60rUaj0X+/fPlyBVCmTJmiaLXaCm21Wq3y9ddfK2q1WlEURcnPz1esra2VCRMm3HDf19OtWzclODhYKSkp0W/bs2ePAijz58/Xb/vmm28UQNm8eXO513/00UcKoBw+fLjSY69evVoBlG3btlV6fD8/P2X48OE37Oebb76pAMr58+fLbX/yyScVQMnIyFAURVHi4+MVc3Nz5dlnny3Xruz6Ll68WL8tNTW10ms9fPhwxc7OTiksLNRvmzdvngIoe/fu1W8rKSlRgoODle7du9+w/0II0dDINDAhhKjn0tPTMTMzw93dvdLny0YiAD744APc3Nz4/PPPUalUFdqqVCqmTZumH1XJy8ujqKgILy+vG+67KgkJCRw8eJDx48djYfHfgH7Pnj1p3bo1v//+u35b2WiEk5NTuX04OzsDYGNjU6Nj19T1jm9mZoaVlRUA+/btQ6PRMGzYsHLt7r77bgDWrFmj3+bm5lbpte7evTv5+flkZGTot/3+++8EBgYSFham32ZhYcG4ceM4cOAACQkJt3iGQghRv0iwIoQQ9VxYWBharZb777+fDRs2kJ2dXWm7y5cvc/LkSQYOHFjuQ//1uLm50bJlS+bPn8+cOXM4ffo0iqLUqH/Hjx8HoEOHDhWe69Chg/55gJEjR+Lr68tLL73EiRMnyM3NZefOnXz88ceMGDGCoKCgGh37ajt37sTBwQFLS0uCg4P57LPP0Gg05do8+uijODs78/TTTxMdHU1OTg5//fUXixYtYtq0adjb2wNQXFwMoJ++VsbS0hKVSsXRo0dv2J9t27bRpEmTckHm8ePHq7xOoFunI4QQtxMJVoQQop4bO3YsTz31FJs3b2bIkCE4OzsTHBzM9OnTuXTpkr5d2UJ7Pz+/CvvQaDSo1Wr94+qAZPny5TRu3JiXXnqJoKAgnJycGDFiBD/99FO1ApeyhfEuLi4VnnNxcSm3cN7JyYl9+/ZRUlJCu3btcHBwoG/fvvTo0YPVq1dX+5pca/jw4XzxxRf8/fff/Prrr3Tp0oWXX36ZiRMnlmvXvHlzwsPDOX78OC1atMDR0ZERI0bw6KOP8sUXX+jbBQcHA7Bnz55yr9+7dy+KolRIBnCtb7/9lu3btzNz5kz9KBborlVV16nseSGEuJ1IsCKEEPWcSqVi4cKFREdHM3/+fCZNmkRJSQmff/45bdu2ZceOHTfch6urK5aWlvrH1dOYunXrxvnz5/n3339544039NmpJkyYwD333KMPWK4NeLRabYV+VtX/MleuXOHee+8lOzubn3/+mZ07dzJ//nx2797NPffcg1qtvplLxLx585g0aRJ9+vTh3nvvZdmyZTzzzDMsW7aMyMhIfbtLly4xYsQIXF1d+fXXX9mxYwf/93//x9KlS8slEujYsSN9+vRh9uzZrF69mszMTPbu3cuUKVMwNze/7hS1f/75h2nTpvHggw/y7LPPXvd61OQ5IYRoiCQbmBBCmKCytR3XTlMqo1ar9esryvj5+fH000/rf161ahUPP/wwr7zyCgcOHNBnBIuJiamwv+3bt6NWq4mIiKg0na+lpSWDBw9m8ODBgO4O/4MPPshff/3FP//8w7Bhw+jfv3+5wOjRRx9l6dKluLq66l9zrYyMjHIjCZ988glRUVHExMTo18n07t2bNm3acNddd/Hzzz/z6KOPVnpNamrcuHF8/fXX7Nu3j86dOwPw+uuvk52dTVRUlH7KV58+fXBzc+Oxxx5jwoQJ+oxcq1evZuLEiYwePRoAKysrXnzxRTZv3kxmZmalx9ywYQP3338/AwcO5Oeff64QfLi6ulZ5naDy0SkhhGjIZGRFCCFMUFlK3coWVCuKQmJiYoW0u9caPXp0uTUhTZs2pW3btmzatInCwsJybTt16kTXrl0JDAysVv9cXV154YUXgP/WpCxatIiDBw/qH++++y6gqwkDcOzYsQr7OXbsmP55gKioKJo1a1ZhQX+3bt3KHas2lI0IXT0KEhUVRXBwsD5Qud7x3d3dWb9+PcnJyRw5coSUlBTef/99zp49S58+fSocb8OGDYwcOZK+ffuyZs0a/WL9q7Vv377K6wSUu1ZCCHE7kGBFCCFM0F133YVKpWLlypUVnvv333/Jzs5mwIABACQmJla6j9zcXOLi4mjatKl+25tvvklaWhrTp0+v1nqTkpKSKtdJnDp1CkC//8DAQLp27ap/NG/eHIBmzZrRvXt3li1bVm6kaN++fZw5c4b7779fv61p06bEx8dXCNLCw8MB8Pb2vmGfq+vHH38EIDQ0tNzxyxb2V/f47u7udOjQAScnJxYuXEheXh7PPPNMuTYbN25k5MiR3HHHHaxdu7bCwvwy9913H6dPn2b//v36bWq1mmXLltGjR49y/5ZCCHE7kGlgQghhglq0aMEzzzzD7NmzyczMZNiwYdja2nLw4EE+/vhjunbtytixYwH48MMP2bNnD2PGjKFTp07Y2tpy8eJFvv76a9LT05k9e7Z+vw8//DAnTpzgww8/5MiRI0ycOJFWrVqh1WqJi4vjp59+AsDBwQGArKwsmjdvzqhRoxgwYAA+Pj7k5uayfft2vvjiC4KCgsoFG1X55JNPGDhwIKNGjWLq1KmkpKTw+uuv065dOyZNmqRvN23aNH7++WcGDhzI66+/jo+PD8ePH+eDDz7Aw8ODRx55RN82Pz+f9evXA7rAB3TFJ9PS0rC3t2fo0KGALkHAb7/9xvDhw/Hz8yMzM5PVq1fzyy+/MHHiRDp27Kjf5wsvvMDIkSMZOHAgL774Im5ubuzbt49Zs2YRHBys3yfAN998o/+3yszM5J9//mHJkiV89NFHdOnSRd9u9+7djBw5Ek9PT9544w2ioqLKXZvg4GAcHR0BeOyxx5g3bx6jRo3i448/xt3dnfnz53PmzBk2b958w+sshBANjvFKvAghhLgerVarLFiwQOnatatiZ2enWFlZKa1atVJee+01JScnR99u3759yrRp05SOHTsqLi4uirm5udKkSRNlyJAhyvr16yvd986dO5UxY8Yo3t7eiqWlpWJnZ6cEBwcrTz/9tHLo0CF9u6KiIuXTTz9Vhg4dqvj6+irW1taKjY2NEhQUpLz66qtKenp6tc9n48aNSmhoqGJjY6O4uLgoEyZMUJKTkyu0O3z4sHLfffcp3t7eirW1tRIQEKBMnjxZiY2NLdfu4sWLClDpw8/PT98uPDxc6d+/v+Lp6ak/127duinz58+vtKjl1q1blUGDBimenp6Kra2t0rp1a+Wll15S0tLSyrVbtGiREhQUpNjZ2SmNGjVSevfuraxdu7bC/soKfFb1uLaQZVJSkjJhwgTFxcVFsbGxUUJDQ5VNmzZV+zoLIURDolKUGibMF0IIIYQQQog6IGtWhBBCCCGEECZJghUhhBBCCCGESZJgRQghhBBCCGGSJFgRQgghhBBCmCQJVoQQQgghhBAmqcHUWdFqtVy+fBkHBwdUKpWxuyOEEEIIIYSogqIo5OTk0LRpU8zMqh4/aTDByuXLl/Hx8TF2N4QQQgghhBDVFBcXh7e3d5XPN5hgpazaclxcnL4SsBBCmITvv4e8PLC3h6uqtddrDfGchBBC1Jns7Gx8fHz0n+Gr0mCKQmZnZ+Pk5ERWVpYEK0IIIYQQQpiw6n52lwX2QgghhBBCCJMkwYoQQgghhBDCJDWYNStCCGGyEhNBowFzc/DyMnZvakdDPCchhBAmR0ZWhBDC0Lp1Ax8f3deGoiGekxBCCJMjwYoQQgghhBDCJEmwIoQQQgghhDBJEqwIIYQQQgghTJIEK0IIIYQQQgiTJMGKEEIIIYQQwiRJsCKEEEIIIYQwSRKsCCGEEEIIIUySBCtCCCGEEEIIkyTBihBCCCGEEMIkWRi7A0II0eBt2QJqNVg0oD+5DfGchBBCmBx5lxFCCEMLDDR2D2pfQzwnIYQQJkemgQkhhBBCCCFMkgQrQgghhBBCCJMk08CEEMLQli+H/Hyws4OxY43dm9rREM9JCCGEyVEpiqIYuxO1ITs7GycnJ7KysnB0dDR2d4QQ4j/e3pCQAM2aQXy8sXtTOxriOQkhhKgz1f3sLtPAhBBCCCGEECZJghUhhBBCCCGESZJgRQghhBBCCGGSJFgRQgghhBBCmKSbClbmz5+Pv78/NjY2hISEsGvXrirbbt++HZVKVeFx+vTpcu3WrFlDcHAw1tbWBAcH8/vvv99M14QQQgghhBANRI2DlZUrV/LCCy/w5ptvEhkZSe/evRk6dCixsbHXfd2ZM2dITEzUP1q1aqV/Ljw8nDFjxjB+/HiOHDnC+PHjGT16NPv376/5GQkhhBBCCCEahBqnLu7RowddunRhwYIF+m1BQUGMHDmSWbNmVWi/fft27rzzTq5cuYKzs3Ol+xwzZgzZ2dn8888/+m1DhgyhcePGrFixolr9ktTFQgiT1RDT/DbEcxJCCFFnDJK6uLi4mIiICAYNGlRu+6BBg9i7d+91X9u5c2e8vLzo378/27ZtK/dceHh4hX0OHjz4uvssKioiOzu73EMIIYQQQgjRcNQoWElLS0Oj0eDh4VFuu4eHB0lJSZW+xsvLi8WLF7NmzRp+++03AgMD6d+/Pzt37tS3SUpKqtE+AWbNmoWTk5P+4ePjU5NTEUKIuuPpqRuB8PQ0dk9qT0M8JyGEECbH4mZepFKpyv2sKEqFbWUCAwMJDAzU/xwWFkZcXByffvopffr0ual9AsyYMYPp06frf87OzpaARQhhmg4dMnYPal9DPCchhBAmp0YjK25ubpibm1cY8UhJSakwMnI9oaGhnDt3Tv+zp6dnjfdpbW2No6NjuYcQQgghhBCi4ahRsGJlZUVISAibNm0qt33Tpk307Nmz2vuJjIzEy8tL/3NYWFiFfW7cuLFG+xRCCCGEEEI0LDWeBjZ9+nTGjx9P165dCQsLY/HixcTGxjJlyhRANz0rISGBH3/8EYC5c+fSvHlz2rZtS3FxMcuWLWPNmjWsWbNGv8/nn3+ePn368Mknn3Dvvfeybt06Nm/ezO7du2vpNIUQQgghhBD1TY2DlTFjxpCens77779PYmIi7dq1Y/369fj5+QGQmJhYruZKcXExL7/8MgkJCdja2tK2bVv+/vtvhg0bpm/Ts2dPfvnlF2bOnMlbb71FixYtWLlyJT169KiFUxRCCCN76inIyAAXF1i0yNi9qR0N8ZyEEEKYnBrXWTFVUmdFCGGyGmJNkoZ4TkIIIeqMQeqsCCGEEEIIURlFUTibnEMDuQ8uTIQEK0IIIYQQ4pYt2HGBQZ/v5K11x43dFdGASLAihKg1W08nM2ZROLM3nOZYfJbcXRNCiNtEVn4JC7ZdAGDZvlj+PHLZyD0SDcVNFYUUQohrFau1vPn7cRKzCtl/MYN52y7QzNmWwW09GdLOkxC/xpibVV3oVQghRP317e5ocorUWFmYUazWMuO3Y3TwdsLP1d7YXRP1nIysCCFqxbqoBBKzCnFrZM2w9p7YWpqTkFnAd3suMnpROD0+2syM346y/UwKxWqtsbsrhBCillzJK+a73RcBmDO6I92aNya3SM0zyyMpUmuM3DtR38nIihDilmm1Cgt36Ib/n+jtz1N9W1BYomHn2VT+PZHEllMppOUWs+JAHCsOxOFgbcFdQe4MaetJ38Am2FnJnyIhhKivvtkVTV6xhmAvR4a18yLErzHDvtjFsYQsPvnnDG+PCDZ2F0U9Jp8QhBC3bOPJZC6k5uFoY8HYHr4A2FiaM6itJ4PaelKi0bI/OoN/TySy4UQyqTlFrIu6zLqoy1hbmNG3dROGtPOkfxsPnOwsjXw2Qgghqis9t4iley8B8OLA1piZqfBysuXTUR15/IdDfLfnImEtXBkY7GHcjop6S4IVIcQtURSFBdvPAzAhrDkONhWDDUtzM+5o5cYdrdx4/552RMZdYcOJZP49nkRsRj4bTyaz8WQyFmYqwlq4MritJyM6NJXARQghTNzindHkF2to38yJAUHu+u39gzyYfIc/3+6+yMurj7D++d40c7Y1Yk9FfSXBihDiloRfSOdIfBY2lmZM6tX8hu3NzFSE+LkQ4ufCjKFtOJWYw78nkthwPIkzyTnsOpfGrnNp/LD3Ev883xsL8wawtO7hh+HKFWjc2Ng9qT0N8ZyEEDWSmlPED+GXAHhxYCtUqvJJVF4d0oaDlzI4Ep/Fcysi+eXJUCwbwt90UackWDFB+6LTWX0onhnD2uDWyNrY3RHiuuZv161VGdPVB9ca/n9VqVQEN3UkuKkj0we25mJaHhtOJDF/23nOpeSy/UwqAxrC1IHZs43dg9rXEM9JCFEjC3dcoLBES0cfZ+4MdK/wvJWFGV+P7cKwL3cREXOFzzed5dUhbYzQU1GfSXhrYjRahVd/Pcqaw/F8tvGssbsjxHUdjc9k9/k0zM1UTO4dcMv783ezZ0rfFozp5gPAykNxt7xPIYQQtS85u5Bl+2IAmD6wdYVRlTI+LnZ88kAHQHdza+fZ1Drro2gYJFgxMdvPpBCbkQ/ArxFxXM4sMHKPhKhaWQawezs2xcfFrtb2WxasbD2dQkp2Ya3tVwghRO1YsP0CRWotIX6N6dPK7bpth7X3YlyoLvnK9FVR8ndd1IgEKyamLKOGuZmKEo3CotIPg0KYmgupufxzPAmAKf1a1Oq+W7o7EOLXGI1WYc3hhFrdtxBCiFuTmFXA8v2xwPVHVa42c3gwbTwdSMst5oWVUWi0iqG7KRoICVZMyLnSxcVmKph1X3sAVhyMkzsQwiQt3hGNosCAIA9aezjU+v7HdC2dCnYwFkWp529qbdqAo6Pua0PREM9JCFEt87ddoFijpbu/Cz1buFbrNTaW5sx7pAt2VubsvZDOvG3nDdxL0VBIsGJCyjJqDAjyYFRXb0L8GlOs1rJ4Z7RxOybENRKzCvgtMh6Ap2t5VKXM8A5e2FuZcyk9n/0XMwxyjDqTmws5ObqvDUVDPCchxA0lZBbwy8GajaqUadGkER+MbAfA3M1n2R+dbpA+ioZFghUTkVVQwm+l010m9mqOSqXi2btaAvDz/ljSc4uM2T0hylmy6yIlGoUe/i6E+Bkmda29tQUjOjYFYNVBWWgvhBCm4Out5ynRKIQFuBIaUL1Rlavd38WbB0O80Srw3C+R8vlG3JAEKyZi9aE48os1BHo4EFb6y9+3dRM6eDtRUKJhye6LRu6hEDpX8opZfkB3V81Qoyplyhba/30skayCEoMeSwghxPXFZeSzujRL44sDW9/0ft6/ty0tmtiTnF3ES6uPoJX1K+I6JFgxARqtwo/huvR/j/Zsrh9SValUPHOnbnTlx/AYMvOLjdZHIcr8GB5DfrGGYC9H+rZuYtBjdfJxprVHI4rUWv44ctmgxxJCCHF9X209h1qr0LuVG939XW56P3ZWFnw9tgvWFmZsP5PKt7tluruomgQrJmDbaV26YidbS0Z2blruuYHBHrTxdCC3SM33ey4Zp4NClMovVrN0r26U7+l+LWo0V/lmqFQqxnTTpbtcWTpHWgghRN27lJanz874woCbH1UpE+TlyDsj2gLwf/+eITL2yi3vUzRMEqyYgLJ0xQ9188HOyqLcc7q1K60A+H7PRXIKZSqMMJ5fDsRxJb8EP1c7hrX3qpNj3te5GVbmZhxPyOZ4QladHFMIIUR5X249h0ar0C+wSa2tVXy4uw/DO3ih1io8szySrHz5jCMqkmDFyM4l57D7vC5d8bhQv0rbDG3nSUv3RmQXqvXTxYSoa8VqLd/s0g3VP9WnBeZmhh1VKeNib8XAth4ArJKK9kIIUecupOayNlI3qvJiLYyqlFGpVMy6vz2+LnYkZBbw2pqj9T9Vvah1EqwYWVm64oHBHlVWADczUzHtTt1C5m93RZNfrK6r7jVI+cVq1BqtsbtR76yLSiAxqxB3B2seCGlWp8d+qHSh/drIBApLNHV6bCGEuN19teUcWgUGBLnT0ce5VvftaGPJ12M7Y2mu4t8TSSzbJzdlRXkWN24iDCWroIQ1Ebo7FY/2bH7dtiM6NGXu5nPEpOfz875YnugTUAc9bFiyC0tYuP0C3+25iKu9Ne/e05aBwR7G7la9oNUqLNxxAYDH7/DH2sK8To/fq4UbzZxtScgs4N/jSYzsXLfBkhBC3K7Op+SwrjTBSW2sValMB29nXh8axP/+Osn//jpFF7/GtG3qVOP9KIpCTpGalOwiUnIKycjTJSYyV6kwM1NhrlJhbvbf92ZmVNxWtl3fRkUzZ1tsLOv2fU/8R4IVI1p9KI6CkvLpiqtiYW7GtH4teXXNURbtjGZ8mJ/84lRTsVrLz/tj+HLLOa6UzodNyCzgiR8P0b+NO+/e07bKUS2hs/FkMhdS83C0sWBsD986P76ZmYrRXX34fPNZfjkYW/+ClYULoaAAbG2N3ZPa0xDPSQhRwdzN51AUGNzWg3bNah5AVNdjvZoTfiGdzaeSeWZ5JH8+eweNrHUfUxVF4Up+CSk5haRkF5GcXUhKThGpOUX6bSml3xeW1P7MiSYO1qx4IpSW7o1qfd/ixiRYMRKNVtFPASsrAnkj93Vpxhdbzumqxx6IZWIvfwP3sn5TFIW/jiYye8MZYjPyAWjRxJ6XBwVyNCGLb3ZGs+V0CrvPp/HsXS15ok9AnY8Y1AeKorCgdFRlQlhzHGwsjdKPB7t6M3fLWfZFZ3ApLY/mbvZG6cdNuftuY/eg9jXEcxJClHM6KZu/jyUChhtVKaNSqfh0VAeGfbGLi2l5PLhgL9aW5qRmF5KaW0SJpvprWRxsLHB3sMa1kTUqQKsoaLQKGkU3U0CjVa7apui2KQpaLRW2FZZoSM0pYuL3B/h9ai+aOFgb7iKISkmwYiRbT6cQl1GgS1fcqXp3iS3NzXi6Xwtmrj3Owh3RPNzDVz5cVyH8Qjof/3OKI/G67FFNHKx5cUBrRnf1xsLcjKHtvbi/czPeWnecfdEZfLrxLL8dTuC9e9vSu5Vha4fUN+EX0jkSl4m1hRkTezU3Wj+aOdvSp1UTdpxNZdWhOF4d0sZofRFCiNvBF6WjKsPaexLk5Wjw4znbWfHlw50Zs3gfp5NyKjzvYm+Fu4M1TRyscXewwd3RGvdKvre1qr3PRum5Rdy/YC8x6fk8/sNBfnkytELmVmFYN3W158+fz+zZs0lMTKRt27bMnTuX3r17V9r2t99+Y8GCBURFRVFUVETbtm159913GTx4sL7N0qVLmTRpUoXXFhQUYGNjczNdNHk/lKUr7u5To1+qB0O8+WrrOZKyC1kTkWCUKTmm7GxyDh//c5qtp1MAsLcy56m+LZjc27/CH5dWHg6seCKUP45c5n9/nSI6LY/xSw4wvIMXbw0PxtOpYf7fq6myUZWHuvng1si4d5Qe6ubDjrOp/BoRz/SBrbEwlxwhQghhCCcuZ/HP8SRUKni+v2FHVa7WtbkLyyf34FxKri74cLTB3cEat0bWWFnU/d9810bWLJ3Unfvn7+FofBbPLo9k0fgQef+pQzW+0itXruSFF17gzTffJDIykt69ezN06FBiYysv2LZz504GDhzI+vXriYiI4M4772TEiBFERkaWa+fo6EhiYmK5R0MNVK5OVzy+inTFVbGxNOepPrrMYPO3n6dEsloBkJRVyGu/HmXI3J1sPZ2CuZmK8aF+bH/lTp7r36rKuyAqlYp7OzVj68t9mdizOWYq+PtoIv0/2863u6Jv++t7LD6LXefSMDdTMbm38ZM69A/ywNXeipScIrafSTV2d6ovIgLCw3VfG4qGeE5CCL25m88BcHeHpgR6OtTpsXsEuDIu1I9BbT3p5ONMU2dbowQqZfzd7Pn20W5YW5ix5XQK7/55QlIs16Ea/8vPmTOHxx9/nMmTJxMUFMTcuXPx8fFhwYIFlbafO3cur776Kt26daNVq1Z89NFHtGrVij///LNcO5VKhaenZ7lHQ1VWBHJgsAfejWu+sPvh7r64NbIi/kqBPu/57Sq7sITZG07T79NtrDwUh1aBIW092fhiH/43sl2155Y62ljy7j1t+eOZO+js60xesYYP/j7FiK92c/BShoHPwnQt2HEegHs7NjWJJARWFmbc30U3bXJlfaq5cu+90LOn7mtD0RDPSQgB6G5UbTqZjJkKnu/fytjdMQkhfo2ZO6YTKhUs2xfL4p3Rxu7SbaNGwUpxcTEREREMGjSo3PZBgwaxd+/eau1Dq9WSk5ODi4tLue25ubn4+fnh7e3N3XffXWHk5VpFRUVkZ2eXe9QHWfkl/HZYF2BM7HlzC+Rtrcx5ovQu9/ztF9Bob7/ovlitZemei/SbvZ152y5QWKKlq19j1jwdxsLxIbRocnMZO9o1c2LNlJ58fH97nO0sOZ2Uw6iF4by8+ghpuUW1fBam7UJqLv8cTwJgSr8WRu7Nf8aU1lzZejqFlOxCI/dGCCEanrmbzwJwb6dmkgHrKkPbezFzeDAAs/45zZ+lKZ2FYdUoWElLS0Oj0eDhUb42hYeHB0lJSdXax2effUZeXh6jR4/Wb2vTpg1Lly7ljz/+YMWKFdjY2NCrVy/OnTtX5X5mzZqFk5OT/uHj41OTUzGaVaXpitt4OhAa4HLjF1RhXKgfznaWXEzL46+jt88viy7D12UGfr6Dd/88SUZeMQFN7Fk0PoTVU8II8bv5a1rGzEzFQ9192fpSP30xwl8j4rnr0+0s2xdz2wSHi3dEoygwIMiD1h51OwXgelq6OxDi1xiNVmHN4dt7ZFEIIWpbVFwmW0qnUz8noyoVPH6HP5NKk828tOoIBy7evrMv6spNTQC8Ns2uoijVSr27YsUK3n33XVauXIm7u7t+e2hoKOPGjaNjx4707t2bVatW0bp1a7766qsq9zVjxgyysrL0j7g4058SUi5dcc/qpSuuir21BY+Xpi7+eut5tLfBB+jTSdmMnL+XZ5ZHEpOej1sjaz68rx0bX+jD4Laet3Q9K+Nib8XHD3RgzdM9CfZyJLtQzcy1x7l//h6OlWYZa6gSswr4LTIegKdNaFSlzJiuuiBy5cFYmTcshBC16PNNulGV+zo3w78+pYivQzOHBzO4rQfFGi1P/HiI8ym5xu5Sg1ajYMXNzQ1zc/MKoygpKSkVRluutXLlSh5//HFWrVrFgAEDrt8pMzO6det23ZEVa2trHB0dyz1M3dbTKcRfKcDZzpJ7q5mu+Hoe7dUcBxsLzqXksuFE9Ua26qvY9HzGfbufI3GZ2FmZ88KAVux4pR+P9PAzeEaOEL/G/PFML94ZEYyDtQVH4rO4Z95u3lp7nCK1xqDHNpYluy5SolHo4e9CiF9jY3enguEdvLC3MudSej775a6WEELUioiYDHacTcXcTMWzd7U0dndMlrmZirljOtPZ15msghImfn+A1Jzba6p4XarRpzwrKytCQkLYtGlTue2bNm2iZ8+eVb5uxYoVTJw4keXLlzN8+PAbHkdRFKKiovDy8qpJ90ze0r0XAXiom2+t5AB3tLFkUs/mAHy19XyDvcN8Ja+Yid8fIC23mGAvR7a/0o8XBrTG3rru8pxbmJsxqZc/W17qy72dmqIo8NO+GH22lIbkSl4xyw/osvuZ4qgK6EYWR3RsCsCqg6Y/qiqEEPXB55t072kPdvHGz1VGVa7H1sqcbyd0xc/VjvgrBTz+w0Hyi9XG7laDVONb0tOnT+fbb7/lu+++49SpU7z44ovExsYyZcoUQDc9a8KECfr2K1asYMKECXz22WeEhoaSlJREUlISWVn/TaN577332LBhA9HR0URFRfH4448TFRWl32dDcDY5hz3n03XpisNqlq74eh67wx97K3NOJmaz5VRKre3XVBSWaHjix0NEp+XRzNmW7yd1w93BeCmt3R1t+OKhznw+piMAS3ZfJP5KvtH6Ywg/hseQX6wh2MuRvq1Nt0Bm2UL7v48lklVQYuTeCCFE/bY/Op3d59OwMFPxjIyqVEtZDZbGdpb6Gizq27zkgSHUOFgZM2YMc+fO5f3336dTp07s3LmT9evX4+en+wCemJhYrubKokWLUKvVTJs2DS8vL/3j+eef17fJzMzkySefJCgoiEGDBpGQkMDOnTvp3r17LZyiaShLVzwo2JNmzra1tl9nOyvGhzUH4Kut5xrU6IpWq/DSqiMcirmCg40F30/qhoejadTeGdmpGaEBLhSrtczecMbY3ak1+cVq/Qjg0/1a1Po6oNrUyceZQA8HitRa/pCMLEIIcdMUReGz0rUqo7v5mESq+vpCarAY3k1N9p86dSqXLl2iqKiIiIgI+vTpo39u6dKlbN++Xf/z9u3bURSlwmPp0qX6Np9//jkxMTEUFRWRkpLChg0bCAsLu+mTMjVZ+SX8XpauuDSDRG2a3NsfG0szjsRnsfNcWq3v31hm/XOKv48lYmmuYtH4EJPKSKVSqZg5PBiVCtZFXSYy9oqxu1QrfjkQx5X8Evxc7RjazrRrHalUKkZ3+2+hvRBCiJvz/Z5LHLiYgZW5GdPulFGVmqpPNViu5BXz5ZZz9SopgPHKgd5Grk5X3MP/1lPrXsutkTVju+tGtr7a0jBGV5buucg3u3R3+D8d1ZGeLdyM3KOK2jVz4oEu3gB88Pepen/di9Vavt2l+wP7VJ8WBk9cUBvu69wMK3MzjidkczyhYWdoE0I0LGqNlkU7LrBk90Wjvn8cjc9k1j+nAHhzeFCtzv64nZh6DZb4K/m89+cJen68lTmbzvKNCQdU16q7Fcq3qavTFU/qdWvpiq/nqb4BLNsfw6GYK+yLziCshatBjlMXNpxI4r2/TgLwyuDAWsmcZigvDwrk76OJRMRcYf2xJIZ3qL9JIdZFJXA5q5AmDtb6KvGmzsXeioFtPfj7aCKrDsXRrpmTsbtUuVOnQFHAhKfV1VhDPCch6khekZpnV0Sy9bRuramiKEwuLfZcl7ILS3hmeSQlGoXBbT2YUItram9Hj9/hT/yVfL7fc4mXVh3Bw9GG7ga4SV0TpxKzWbTjAn8eTdTXiQv2cqSPCa9JvZbp3zqt57acSq7VdMVV8XC00dee+Gpr/c1QdTj2Cs+tiERRYGwPX6aaaDaqMp5ONjzZR/cG8/G/p+pVKmOtViH+Sj7bz6Tw7a5ovtii+38z+Q5/bCxvPVtdXSkr3Lk2MoHCEhO9/g4O4Oio+9pQNMRzEqIOpOQU8tDifWwtLbwI8NH6U+w6l1qn/VAUhRm/HSM2I59mzrb83wMdTXqdYn1hCjVYFEUh/EI6j353gKFf7GJt1GU0WoVeLV356fHu/P3cHfXq5qqMrBhY2cL6h7v7GvwD4JR+LfjlYCx7L6QTEZNRK9Xc69KltDwm/3CIIrWWu9q48/49bevFH86n+gaw4kAscRkF/LD3Ek/2Ma0Aq0SjJSY9n/MpuVxIzeV8Si7nUnK4kJJHwTUf7h1tLBjbw9dIPb05vVq40czZloTMAv49nsTIzvVjVEgIQyrRaPlo/SlUqHhtaCDWFvXnBkRDdj4ll4nfHyD+SgEu9lZ8M6ErvxyIZXVEPM8sj2TdtF40r6NCjMsPxPL30UQszFR8NbYzTnaWdXLchq6sBsvYb/cRGZvJxO8P8PvUXjRxsDb4sTVahQ0nkli04wJHSotXm6lgWHsvnurTgvbeJjr74AYkWDGgM0k57L2gS1c8LtTwQ6vNnG15oIs3vxyM48st5/nhsfqTTS2jtJZKRl4x7Zs58dXDnevFmgkAOysLXhkcyCu/HuWrLed5oIs3ro0M/0fpWgXFGn0won+k5hKTnkeJpvL50BZmKpq72dOySSNaujdiSDtPHGzq1xuWmZmK0V19+HzzWX45GCvBihDAh3+f0t8su5iWy4JxIfVqxLQyR+Mz+ed4EhPC/PByqn/rKvZHp/PkTxFkFZTQ3NWOpZO609zNnnbNHDmfmktkbCZP/HiI36f1opGB64idSszmvT91061fHRJIF1/TK/5bn5XVYLl/wV5i0vOZ/MNBVjwZip2VYf5dC0s0rDkczzc7o7mUriunYG1hxuiuPkzu7V/va+aolPq+KrhUdnY2Tk5OZGVlmUw1+xm/HWPFgViGtvNkwbiQOjlmTHoed322A41WYd20XnT0ca6T496KwhINY7/Zx+HYTLwb2/Lb1J5GraVyM7RahRFf7+bE5WwmhPnx/r3t6uzY/xxL5ON/TxObkU9Vv822lua0dG+kf7QoDU78XO2wrCdB4fVcziyg1ydbURTY/nK/OrszWW1z5kB2tm7a1PTpxu5N7WiI59RA/HIgltd/OwaAlYUZxWotvVu5sXh811opSFzXCks0fL7pLN/sikarQKCHA79N7VmnhYFv1R9HLvPyqiMUa7R09nXm2wldy93USs4uZMRXu0nJKWJgsAeLxoVgZmaYmQV5RWpGfL2b6NQ87gxswpJHuxnsWLe7i2l53D9/D1fySxgQ5M7nYzrV6g3BrPwSlu2P4fs9F0nLLQbAydaSR8P8mNCzOW5GuHFaE9X97C7BioFk5ZfQY9ZmCku0rHwylB4BdbfgffrKKH6LTGBgsAffTOhaZ8e9GRqtwtSfI9hwIhknW0vWPB1GS/f6OQd+74U0xn6zH3MzFRte6F0n53E49goPLdpHcWkRqsZ2lhUCkpbujWjqZNvg34we/e4AO86mMrVfC14d0sbY3SnP2xsSEqBZM4iPN3ZvakdDPKcG4OClDMZ+s48SjcL0ga3p1tyFx5YepKBEQ1iAK0smdjXY3V1DOHAxg9fWHOViWh4ANpZmFJZoGdbek3lju5j8VGFFUVi8M5pZ/5wGYHBbD+aO6Vxp0BgZe4UxpX/Pn+vfiukDWxukT9NXRfHb4QQ8HK355/k+uNhbGeQ4Qici5gpjv9lHkVr3Pm1vZY6Hkw2ejrpH2fcejjZ4ln7v1sjqurNLLmcW8N3ui6w4EEtesW46dzNnWx6/w58x3XzqTSBf3c/u9eNs6qGVh2IpLNES5OVY55kgpt7Zkt+jEth0MplTidkEeRk/eKvKB3+fZMOJZKzMzVg8PqTeBioAPVu4MSDIg82nkpm1/jRLJnYz6PGSswuZ8lMExRotg4I9mHV/e6NMPzMVD3XzYcfZVH6NiGf6wNb1ZhqhELUlIbOAp5dFUKJRGNbek2fvaolKpeKHx7oz6fsDhEenM/G7g3w3qZvBpxndqrwiNf/372l+CI8BwMPRmg9HtsfZzpKHv9nH+mNJLNhxgan9TLcmiEar8O4fJ/hpn+4cJvZszlt3B+sX1V+rs29jPrq/PS+vPsKXW84R5OnA0Pa1uwj614h4fjucgJkKvnyoswQqdSDErzFfj+3Cm78fIyWniLxiDdGpeUSn5lX5GjMVNHGwxqMsiCkNZNwdrNkXncG6qATUpZm92ng68FTfAO7u0LRBzJSojGn/taqnNFqFH/bq/jhN6mm4dMVVaeneiOHtvfjraCIzfjvGzOFBhPg1Nrk7UEt2X+T7PZcA+HR0xzodfTKUGcPasP1MCltOp7D7XBp3tDJMfZjCEg1P/hRBSk4RrT0aMWdMJ5P/8GFo/YM8cLW3IiWniO1nUhkQ7GHsLglRZwqKNTz54yHScosJ8nLk01H/ZXbq7u/Cj4/3YOJ3BzhwKYMJS/az9LHuOJro+rTd59J4bc1REjILABjT1Yc3hgfhZKvr77v3tOXN348ze8MZgrwcuTPQ3ZjdrVR+sZrnVkSy+VQKKpUuQ9Tjd/jf8HUPhnhz8nI23+25yEurj+DfxJ42nrVzw/F8Sg5vrT0OwIsDWjeI99z6YmCwBwODPcgvVpOUVUhSdiHJ2YUkZRWVfv1vW0pOERqtQnJ2EcnZRUDlNcRCA1yY0rcFfVs3MbnPd7VNpoEZwIYTSTz1UwSN7SwJn9HfKIsazybnMOKr3fphx3bNHJnY05+7O3iZxCLLf44lMnX5YRQFZgxtw1N9TSuD1q14948TLN17iTaeDvz9XO8q76LdLEVReHn1UdYcjsfJ1pI/nulV7xfP1ZYP/z7JN7sumt4UyIY4ZaohnlM9pSgKz66I5K+jibjaW7HumV54N7ar0O5IXCbjl+wnu1BNRx9nfnysuz4AMAVZBSV89PcpVh6KA3TTWj5+oD29W1WsBzHjt6OsOBCHo40Ffzxzh0mtU0vNKWLyDwc5Ep+FtYUZc8d0qtEIiVqj5dHvD7DnfDo+Lrb8Me0OGt/iCEhhiYZ7v97DmeQcerV05cfHetT6e5OoHRqtQnpuUWnwUvr1qmDG1d6Kib386VQP1iTfSHU/uzfM8SIjW1o6WvBQHaQrrkprDwf+fPYOxnT1wdpCV+H75dVH6PXxVj7beIbk7EKj9AsgIiaD51dGoSgwPtRPX6ekoXi+fyscbSw4nZTDrxFxtb7/7/dcYs3heMxUMG9sFwlUrjKmtObK1tMppBjx/7gQdWn+9gv8VZqCdsG4kEoDFYCOPs4sfyIUZztLjsRl8si3+8jML67j3lZu88lkBn2+Qx+oPBrmx8YX+1QaqIBudKWLrzPZhWqe/OkQuUXquuxulS6k5nL/gj0cic+isZ0ly5/oUeOpXBbmZnz9cBd8XeyIyyhg2vLDqEvXJd6s9/48yZnkHNwaWfH5mE4SqJgwczMV7o42dPB2ZmCwB+ND/Xh5cCCfjurIT4/3YO5DnRtEoFITEqzUstNJ2YRHp2NupqqTdMXX09rDgU8e7ED4jP68OiQQLycb0vOK+WrreXp9vJVnV0QSEXOFuhxci07NZfIPhyhWaxkQ5M679aSWSk00trfiuf6tAPh041nyavFNdM/5ND5cfwqAN4YFGWyaWX3V0t2BEL/GaLQKaw4nGLs7Qhjc5pPJfLrxDADv3dv2hmsk2zVzYsUTobjYW3E8IZuHv9lPem5RXXS1Uhl5xTz/SySTfzxEcnYR/m72rHoqjPfubXfdRcLWFuYsGBdCEwdrzibn8vKqI3X6XlaZg5cyeGDBXuIyCvB1sWPN0z1vut5Z49IaLHZW5uy9kK7/u38z/jhymRUHYlGpYO6YzvUu26YQEqzUsrK1KoPbetDM2TTywLvYWzG1X0t2vXon8x/pQvfmLqi1Cn8eucwDC/Zy77w9/HY43uDV19Nyi5j4/UGu5JfQ0duJLx/u3GDv7kwIa46fqx2pOUUs2nGhVvYZm57PtOWH0WgV7u/SrFrzn29HZaMrKw/GGv3DixCGdDY5h+d/idSPUj/So3o3yIK8HPnlyVDcGllzKjGbh7/ZR2pO3QYsiqLw19HLDJyzg3VRlzFTwVN9Avjn+d7VTkrj4WjDwnEhWJqr+PdEEvO2nTdwr6v299FEHvl2P5n5JXT0cea3qT0JaNLolvYZ6OnAnNGdAN2I+qpDNR+pv5SWxxulaayn9WspN7hEvSTBSi3KzC/m90jd3O2JPU3vg6SFuRnD2nuxakoYfz17B6NCvLGyMONofBbTVx2h18fb+HzTWYNMn8kvVvP4D4eIzcjHx8WWJRO71av0mTVlZWHGjKG69LmLd0VzuXSh6M3KK1LzxI+HdG+E3k58dF/7BjciVVuGt/fC3sqcS+n57L+YYezuCGEQmfnFPPHjIfKKNYQGuPD2iOAavb61hwMrnwrFw1E3MvHQ4vA6mzqZklPIlGURPLM8kvS8Ylp7NOL3qb2YMSyoxlOnQ/wa6+tafbbpLFtPJxuiy1VSFIVvdkYzbflhitVaBgZ78MsTobVW32JIO0+eLx2pn/n7cQ7HXqn2a4vUGp5ZcZjcIjXdm7vwwoBWtdInIeqaBCu1KCLmChqtQrCXI92am3Y12HbNnJg9qiPhr9/FK4MD8XS0IS23iC+2nKPXJ1t54ZdIouIyq70/tUZLem4RF1JziYjJYPPJZFYfiuObndHM3nCaCUsOcCQuE2c7S5ZO6m7yhYpqw+C2nnRv7kJhiZZPN5y56f1otQovrz7CmeQcmjhYs2h8V5NIkmCq7K0tuKdTUwBWHaz9NUNCGJtao+WZ5ZHEpOfj3diW+Y+E3FTK0hZNGrHyyTCaOtlwITWPMYv3kZh1azdWrkdRFNZExDNwzk42nEjGwkzFc/1b8eezd9xSAeOHu/sytocvigLP/xKlr8liaGWpicumaD0a5sfCcSG1Xnjz+f6tGBTsQbFGy5SfIqq95nTW+tMcT8imsZ0lXzzcSdK5i3pLsoHVspScQlKyi2jXzMlofbgZJRotG04k8f2eS0TE/HfnppOPMw90aYYCXMkr4Up+MZn5xVzJLyGzoET3fV4x2YU3XpdhZWHG8sk96Nq8buvOGNPR+Ezu+XoPAH8804sO3s413seXW84xZ9NZrMzNWPFkKCF+ph0Im4LI2CvcN38v1hZmHHhzgPEzHt1zD6SmQpMm8Mcfxu1LbWmI51RPvPfnCb7fcwk7K3PWPN3zlmtpxWXk89DifSRk6tZaLH+iR5WL9G/lGDPXHmfH2VRAl6Hy/x7oSHDT2nm/LlZrGfvNPg7FXKGleyPWTutl0HTueUVqXlgZxaaTupGcN4cFMbm3v8FGvHOL1Nw/fw9nk3Pp6OPMyidDr3vTqiwrKcB3E7tyVxtJ5S5Mj1SwFzftaHwmS/de4q8jifrK6NXlYGNBYzsrnO0scbazorGdpf7nAUEe9S6Iqw3TV0bxW2QC3f1dWPlkaI3ezDaeSOLJ0jecTx5oz5huvobqZoOiKApD5u7iTHIO/xvZjvFGTnYhRG1ZdTCOV9ccBWDhuC4MaVc7RQPjr+Qz9pv9xGbk08zZlhVPhOLrevMBS1Z+CfsvprP3Qjr7otM5nZQD6G5avTCgFU/2Dqj1O/0pOYWM+Go3ydlFDAr2YOG4EMwMkDp+w4kk3v/zJJezCrGyMOPz0Z0Y3qF2izdWJiY9j3u+3kNWQQkPdPHm01EdKn0/ib+Sz7AvdukypfUJ4I1hQQbvmxA3Q4IVcctSc4pYcSCWg5cyaGRtUS4A0X3VBSFlPzvZWjbY6qm34nJmAXd9tp3CEi0Lx4UwpJ1ntV53NjmH++btIa9Yw6NhfrxXOi9bVM+S3Rf5bvdFnuvfUoI80SBExGTw0OJ9lGgUXhjQihcGtK7V/SdmFTD2m/1cTMvDy8mGFU+EVrt+SW6RmoOXMgi/kE74hXSOX87i2k8XoQEufDCyHS3dHWq131eLjL3CmEX7KNZomT6wtT4zY22ISc/jnT9OsP2MbnSombMtcx/qRLc6nC2w+1waE77bj1aBt+8O5rFrEq2UaLSMXhROZGwmnXycWfVUGFYW8r4sTJMEK0KYkM82nuGrrefxc7Vj04t9b/jmkZVfwr3zdnMpPZ/QABd+eryHBII1VKTWYGFm1mAzzonby+XMAu75eg9puUUMbefJvLFdan3UACAlu5CHv9nHhdQ83B2sWf5EKC3dK2a1KizREBFzhb0X0gi/kM6R+Cw02vIfJwKa2BMW4ErPFm6EBrjgWkdrFVcejOW1NcdQqeDbCV3pH3RrU6AKSzQs2H6BBTsuUKzWYmmu4qk+LZh2Z8taX59SHUt2X+R/f53E3EzFD5O6l8vwNeufUyzaEY2DjQXrn+uNj0vtTucTojZJsCKECckrUtPv0+2k5hQxc3gQk3tXXQhTrdEyaelBdp1Lo5mzLX8+ewcut1i9WAhRfxUUaxi9KJxjCVm08XRgzdM9r1uD5Fal5hQx7tv9pUUErVn+RA+au9oTFZdJ+IV09l5IIzI2s8I0YR8XW31wEtbCFQ9H49XzeGvtcX7aF4ODtQVrn+lFi5tMI7ztdArv/HGC2Ix8AHq3cuO9e9reclriW6EoCi+vPsqaw/E42VryxzO98HO1Z9uZFCZ9fxCo3SmCQhiKBCtCmJiyu31OtpbseKUfznaVByAfrT/F4p3R2Fqa8+vTYbRtevut82lwGuJi9IZ4TiZIURSe+yWKP49cxsXeinXTetXJ3fL03CLGLTnAqcRsGllboNEqFJSUr8Xl6WhDWAtX3SPA1aTu4hertTzy7T4OXrpCiyb2rJ3WCweb6ifaSMgs4P0/T7DhhG4BvYejNW/f3ZZh7T1NIm18YYmGMYvCORKfRWuPRiwYF8KoheFk5BXLtGFRb0iwIoSJ0WgVhn+5i9NJOUzq1Zx3RrSt0GZtZAIvrIwCYN7YLnWyaFPUAW9vSEiAZs0gPt7YvakdDfGcTND87ef5v3/PYGGmYtnkHoQGuNbZsTPzixm/5ADHErIAcLW3IrSFKz1LgxN/N3uT+OBeldScIkZ8tZuk7EIGBHmwePyNF9wXq7V8uzuar7acp6BEg7mZisd6Nef5Aa0Nml3sZiRlFTLi692k5hRhbWFGkVpL26aOrHm6p6S3F/VCdT+7m9ZvnhANmLmZipnDgxm3ZD8/hccwPtSv3FSCo/GZvFaa5WfanS0kUBHiNrflVDKzS2s0vXNP2zoNVACc7axY8WQoW0+nEOjhQGuPRiYdnFxLV5cqhFGLwtl8Kpkvt567blKCvRfSeGvtcS6k6uq0dG/uwv9GtiPQ03AJAW6Fp5MNC8eF8PDifRSptdhbmfP12C4SqIgGR1bsClGH7mjlRv827qi1CrP+Oa3fnppTxFM/RVCk1tK/jTsvDQw0Yi+FEMZ2LjmH53+JQlHgkR6+Rku/3cjagns6NiXQ06FeBSplOvo48+FI3ZSouZvP6euiXC0lu5DnVkQy9pv9XEjNw62RFXNGd2TlU6EmG6iUCfFrzGejO9LSvRGfj+mEfzWztwlRn8jIihB1bMawILafTWXTyWTCL6QT4teYp5dFkJhVSIsm9nz+UCeDZPkRQtQPWfklPPHjIXKL1HT3d6l0yqiovlFdfTiekMUP4TG8uDKKtdN60dK9EWqNlh/DY5iz6Sy5RWrMVDAu1I+XBgUav5BsDYzo2JQRHZsauxtCGIwEK0LUsZbujXikhy8/hsfwwd8n6eDtxKGYKzjYWPDNhK441mARqBCiYdEtqI/kUrquOOOCR7pInYxaMPPuYE4l5XDgYgZP/niId+5py8f/nOZUYjbw3wjM7Vi4WAhTd1N/AefPn4+/vz82NjaEhISwa9eu67bfsWMHISEh2NjYEBAQwMKFCyu0WbNmDcHBwVhbWxMcHMzvv/9+M10Tol54vn8rHGwsOHE5mxUH4lCp4MuHOxs1HaYQwvhUKhUTezbHw9GabyZ0rbPaJA2dpbkZ8x/pgpeTDdFpeTz6nS7TmbOdJbPub8/vT/eUQEUIE1XjYGXlypW88MILvPnmm0RGRtK7d2+GDh1KbGxspe0vXrzIsGHD6N27N5GRkbzxxhs899xzrFmzRt8mPDycMWPGMH78eI4cOcL48eMZPXo0+/fvv/kzE8KEuTay5tm7Wup/fnVwG+4MdDdij4QQpuLONu7seOVOgptKZsva5NbImsXju2JdOlI1pqsPW1/qx8PdfWXqrRAmrMapi3v06EGXLl1YsGCBfltQUBAjR45k1qxZFdq/9tpr/PHHH5w6dUq/bcqUKRw5coTw8HAAxowZQ3Z2Nv/884++zZAhQ2jcuDErVqyoVr8kdbGob4rUGl779SgeTja8PqRNvVy8KqqpIab5bYjnJG4LF9Py0Gi1tHQ37cXzQjR0BkldXFxcTEREBK+//nq57YMGDWLv3r2VviY8PJxBgwaV2zZ48GCWLFlCSUkJlpaWhIeH8+KLL1ZoM3fu3Cr7UlRURFFRkf7nrCxdHvjs7OyanJIQRvX+sBYA5OTkGLknwqC02v++NpS/UQ3xnMRtwbW0Hq98XhDCuMp+B280blKjYCUtLQ2NRoOHh0e57R4eHiQlJVX6mqSkpErbq9Vq0tLS8PLyqrJNVfsEmDVrFu+9916F7T4+PtU9HSGEqFuJieDUwObFN8RzEkIIUWdycnJwus77yE1lA7t2uoqiKNedwlJZ+2u313SfM2bMYPr06fqftVotGRkZuLq63tR0muzsbHx8fIiLi5NpZAYg19dw5Noallxfw5Fra1hyfQ1Lrq/hyLU1LFO5voqikJOTQ9Om10+9XaNgxc3NDXNz8wojHikpKRVGRsp4enpW2t7CwgJXV9frtqlqnwDW1tZYW5fPkuLs7FzdU6mSo6Oj/GIYkFxfw5Fra1hyfQ1Hrq1hyfU1LLm+hiPX1rBM4fpeb0SlTI2ygVlZWRESEsKmTZvKbd+0aRM9e/as9DVhYWEV2m/cuJGuXbtiaWl53TZV7VMIIYQQQgjR8NV4Gtj06dMZP348Xbt2JSwsjMWLFxMbG8uUKVMA3fSshIQEfvzxR0CX+evrr79m+vTpPPHEE4SHh7NkyZJyWb6ef/55+vTpwyeffMK9997LunXr2Lx5M7t3766l0xRCCCGEEELUNzUOVsaMGUN6ejrvv/8+iYmJtGvXjvXr1+Pn5wdAYmJiuZor/v7+rF+/nhdffJF58+bRtGlTvvzySx544AF9m549e/LLL78wc+ZM3nrrLVq0aMHKlSvp0aNHLZxi9VhbW/POO+9UmFomaodcX8ORa2tYcn0NR66tYcn1NSy5voYj19aw6tv1rXGdFSGEEEIIIYSoCzWuYC+EEEIIIYQQdUGCFSGEEEIIIYRJkmBFCCGEEEIIYZIkWBFCCCGEEEKYJAlWhBBCCCGEECZJghUhhBBCCCGESZJgRQghhBBCCGGSJFgRQgghhBBCmCQJVoQQQgghhBAmSYIVIYQQQgghhEmSYEUIIUzQu+++i0qlIi0trdLn27VrR79+/fQ/x8XFMXXqVFq3bo2trS0uLi60b9+eJ554gri4uAqv3717Nw8//DC+vr5YW1tjb29P27Zteemllzh9+nS5toqi8Msvv9C7d2/c3d2xsbHB29ubwYMH8+2331b7nDZv3kxYWBh2dna4ubkxceJEUlJSKrQ7f/4848ePx9fXF1tbW1q0aMH06dNJT08v1+7EiRNMnTqVsLAw7O3tUalUbN++vcL+tm/fjkqlqvIxZcoUfduJEydet+2+ffv0bb/88ktCQ0Nxc3PD2toaX19fHnroIU6cOFHp+X/11Ve0adMGa2tr/P39ee+99ygpKanQLiUlhYkTJ+Lm5oadnR1hYWFs2bKlupdZCCEaFAtjd0AIIcStiY+Pp0uXLjg7O/PSSy8RGBhIVlYWJ0+eZNWqVURHR+Pj46NvP3PmTD788EPCwsKYOXMmrVq1Qq1Wc/ToUX744QfmzJmDWq3G3NwcgBkzZvDJJ5/wxBNP8Morr+Dg4EBMTAxbt25l3bp1TJ48+YZ93LFjB0OHDmX48OGsW7eOlJQUXnvtNfr378+hQ4ewtrYGIDU1ldDQUBwdHfnf//6Hr68vkZGRvPPOO2zbto2IiAjMzHT32Q4dOsTatWvp3Lkz/fv3588//6z02F26dCE8PLzC9gULFvDjjz9y33336be99dZb5YKXMiNGjMDa2ppu3brpt6WnpzN06FA6duxI48aNiY6O5uOPP6ZHjx5EREQQGBiob/vhhx/y1ltv8frrrzNo0CAOHjzIzJkzSUhIYPHixfp2RUVF9O/fn8zMTL744gvc3d2ZN28eQ4YMYfPmzfTt2/eG11oIIRoURQghhMl55513FEBJTU2t9Pm2bdsqffv2VRRFUd5++20FUKKjoyttq9Fo9N8vX75cAZQpU6YoWq22QlutVqt8/fXXilqtVhRFUfLz8xVra2tlwoQJN9z39XTr1k0JDg5WSkpK9Nv27NmjAMr8+fP127755hsFUDZv3lzu9R999JECKIcPH6702KtXr1YAZdu2bdXqj1arVQICAhQ/P78bnsP27dsVQJk5c+YN93vy5EkFUN566y39trS0NMXGxkZ58skny7X98MMPFZVKpZw4cUK/bd68eQqg7N27V7+tpKRECQ4OVrp3716tcxNCiIZEpoEJIUQ9l56ejpmZGe7u7pU+XzYSAfDBBx/g5ubG559/jkqlqtBWpVIxbdo0/ahKXl4eRUVFeHl53XDfVUlISODgwYOMHz8eC4v/BvR79uxJ69at+f333/XbLC0tAXByciq3D2dnZwBsbGxqdOyqbNu2jejoaCZNmnTD/SxZsgSVSsVjjz12w/02adIEoNx5/vvvvxQWFjJp0qRybSdNmoSiKKxdu1a/7ffffycwMJCwsDD9NgsLC8aNG8eBAwdISEiozukJIUSDIcGKEELUc2FhYWi1Wu6//342bNhAdnZ2pe0uX77MyZMnGThwYLkP/dfj5uZGy5YtmT9/PnPmzOH06dMoilKj/h0/fhyADh06VHiuQ4cO+ucBRo4cia+vLy+99BInTpwgNzeXnTt38vHHHzNixAiCgoJqdOyqLFmyBDMzswoBxLWysrL49ddf6d+/P/7+/pW20Wg0FBUVcfr0aSZPnoy7u3u5/ZadX/v27cu9zsvLCzc3t3Lnf/z48SqvE1DlehghhGioJFgRQoh6buzYsTz11FNs3ryZIUOG4OzsTHBwMNOnT+fSpUv6dmUL7f38/CrsQ6PRoFar9Y+rA5Lly5fTuHFjXnrpJYKCgnBycmLEiBH89NNP1QpcyhbGu7i4VHjOxcWl3MJ5Jycn9u3bR0lJCe3atcPBwYG+ffvSo0cPVq9eXe1rcj2ZmZn89ttvDBw4EF9f3+u2XbFiBQUFBTz++ONVtrG3t8fGxoagoCBOnTrF9u3by60RSk9P1ycxuNa155+enl7ldSp7XgghbicSrAghRD2nUqlYuHAh0dHRzJ8/n0mTJlFSUsLnn39O27Zt2bFjxw334erqiqWlpf6xZs0a/XPdunXj/Pnz/Pvvv7zxxhv67FQTJkzgnnvu0Qcs1wY8Wq22Qj+r6n+ZK1eucO+995Kdnc3PP//Mzp07mT9/Prt37+aee+5BrVbfzCUq5+eff6awsLBaiQGWLFmCq6truUX419q7dy/h4eEsW7YMBwcH7rzzzgojIFWde2XP1aStEEI0dBKsCCGECSpb86DRaCp9Xq1W69d3lPHz8+Ppp59myZIlnDt3jpUrV1JYWMgrr7wCoL/bHxMTU2F/27dv5+DBgyxcuLDS41laWjJ48GA+/PBDNmzYQFxcHP369eOvv/7in3/+AaB///7lAp6yNR6urq5A5aMCGRkZ5UYSPvnkE6Kioti0aRNjx46ld+/ePP300/z8889s3LiRn3/+ueqLVk1LliyhSZMm3Hvvvddtd/ToUQ4dOsS4ceP02coq06VLF0JDQ3nkkUfYtm0biqLwxhtv6J93dXWlsLCQ/Pz8Cq+99vxdXV2rvE5Q+eiUEEI0ZBKsCCGECfLw8ACodEG1oigkJibq21Rl9OjR5daENG3alLZt27Jp0yYKCwvLte3UqRNdu3Ytl273elxdXXnhhReA/9ZkLFq0iIMHD+of7777LqCrCQNw7NixCvs5duyY/nmAqKgomjVrVmFBf1nK4KvXd9yMyMhIIiMjmTBhQoVg71pLliwBqNYITBkHBwfatGnD2bNn9dvK1qpce/5JSUmkpaWVO//27dtXeZ2Acm2FEOJ2IMGKEEKYoLvuuguVSsXKlSsrPPfvv/+SnZ3NgAEDAEhMTKx0H7m5ucTFxdG0aVP9tjfffJO0tDSmT59erfUmJSUlVa6TOHXqFIB+/4GBgXTt2lX/aN68OQDNmjWje/fuLFu2rNxI0b59+zhz5gz333+/flvTpk2Jj4+vEKSV1Unx9va+YZ+vpywAud4aFNDVO1m2bBndu3evUYCQlpbGsWPHaNmypX7bkCFDsLGxYenSpeXaLl26FJVKxciRI/Xb7rvvPk6fPs3+/fv129RqNcuWLaNHjx7l/i2FEOJ2IEUhhRDCBLVo0YJnnnmG2bNnk5mZybBhw7C1teXgwYN8/PHHdO3albFjxwK6goN79uxhzJgxdOrUCVtbWy5evMjXX39Neno6s2fP1u/34Ycf5sSJE3z44YccOXKEiRMn0qpVK7RaLXFxcfz000+AboQAdNmwmjdvzqhRoxgwYAA+Pj7k5uayfft2vvjiC4KCgsoFG1X55JNPGDhwIKNGjWLq1KmkpKTw+uuv065du3KZs6ZNm8bPP//MwIEDef311/Hx8eH48eN88MEHeHh48Mgjj+jb5ufns379egB9ZfkdO3aQlpaGvb09Q4cOLdeHwsJCli9fTs+ePW+YVWzt2rVkZGRUOaqSlZXFwIEDGTt2LK1atcLW1pazZ8/yxRdfUFRUxDvvvKNv6+LiwsyZM3nrrbdwcXHRF4V89913mTx5MsHBwfq2jz32GPPmzWPUqFF8/PHHuLu7M3/+fM6cOcPmzZtveJ2FEKLBMV6JFyGEENej1WqVBQsWKF27dlXs7OwUKysrpVWrVsprr72m5OTk6Nvt27dPmTZtmtKxY0fFxcVFMTc3V5o0aaIMGTJEWb9+faX73rlzpzJmzBjF29tbsbS0VOzs7JTg4GDl6aefVg4dOqRvV1RUpHz66afK0KFDFV9fX8Xa2lqxsbFRgoKClFdffVVJT0+v9vls3LhRCQ0NVWxsbBQXFxdlwoQJSnJycoV2hw8fVu677z7F29tbsba2VgICApTJkycrsbGx5dpdvHhRASp9+Pn5Vdjvzz//rADKd999d8O+Dhw4ULG3t1eys7Mrfb6wsFCZPHmyEhQUpDRq1EixsLBQvL29lXHjxpUr8ni1L774QmndurViZWWl+Pr6Ku+8845SXFxcoV1SUpIyYcIExcXFRbGxsVFCQ0OVTZs23bDPQgjREKkUpYYJ84UQQgghhBCiDsiaFSGEEEIIIYRJkmBFCCGEEEIIYZIkWBFCCCGEEEKYJAlWhBBCCCGEECZJghUhhBBCCCGESZJgRQghhBBCCGGSGkxRSK1Wy+XLl3FwcEClUhm7O0IIIYQQQogqKIpCTk4OTZs2xcys6vGTBhOsXL58GR8fH2N3QwghhBBCCFFNcXFxeHt7V/l8gwlWHBwcAN0JOzo6Grk3QgghxE36/nvIywN7e5g0ydi9EUIIg8jOzsbHx0f/Gb4qDSZYKZv65ejoKMGKEEKI+uv5543dAyGEqDM3Wr4hC+yFEEIIIYQQJkmCFSGEEEIIIYRJajDTwIQQQogGITERNBowNwcvL2P3RgghjEpGVoQQQghT0q0b+PjovgohxG1OghUhhBBCCCGESZJgRQghhBBCCGGSJFgRQgghhBBCmCQJVoQQQgghhBAmSYIVIYQQQgghhEmSYEUIIYQQQghhkiRYEUIIIYQQQpgkCVaEEEIIIYQQJkmCFSGEEEIIIYRJsjB2B4QQQghxlS1bQK0GC3mLFkII+UsohBBCmJLAQGP3QAghTIZMAxNCCCGEEEKYJAlWhBBCCCGEECZJpoEJIYQQpmT5csjPBzs7GDvW2L0RQgijkmBFCCGEMCWvvgoJCdCsmQQrQojbnkwDE0IIIRqgDSeS2HIq2djdEEKIWyLBihBCCNHAJGcX8vSyCJ76KYIrecXG7o4QQty0Wg9Wdu7cyYgRI2jatCkqlYq1a9fe8DU7duwgJCQEGxsbAgICWLhwYW13SwghhLht7ItOR6uAWqtw4FKGsbsjhBA3rdaDlby8PDp27MjXX39drfYXL15k2LBh9O7dm8jISN544w2ee+451qxZU9tdE0IIIW4L4RfS9d/vj5ZgRQhRf9X6AvuhQ4cydOjQardfuHAhvr6+zJ07F4CgoCAOHTrEp59+ygMPPFDb3RNCCCEavPDoq4KVi+nXaSmEEKbN6GtWwsPDGTRoULltgwcP5tChQ5SUlFT5uqKiIrKzs8s9hBBCiNvd5cwCYtLzMVPpfj6ZmE1WQdXvp0IIYcqMHqwkJSXh4eFRbpuHhwdqtZq0tLQqXzdr1iycnJz0Dx8fH0N3VQghhDB5ZVPA2ns74+9mj6LAIVm3IoSop4werACoVKpyPyuKUun2q82YMYOsrCz9Iy4uzqB9FEIIIeqDfaVTwMICXOnh7wLA/osSrAgh6iejF4X09PQkKSmp3LaUlBQsLCxwdXWt8nXW1tZYW1sbuntCCCFE3fL0LP+1hsrWq4QGuJCZX8IvB+PYHy3rVoQQ9ZPRg5WwsDD+/PPPcts2btxI165dsbS0NFKvhBBCCCM5dOimXxqXkU/8lQIszFR0a+5CdqFurcrxy9nkFqlpZG30t30hhKiRWp8GlpubS1RUFFFRUYAuNXFUVBSxsbGAbvrWhAkT9O2nTJlCTEwM06dP59SpU3z33XcsWbKEl19+uba7JoQQQjRoZaMqHbydsLe2wMvJFl8XOzRaRdatCCHqpVoPVg4dOkTnzp3p3LkzANOnT6dz5868/fbbACQmJuoDFwB/f3/Wr1/P9u3b6dSpE//73//48ssvJW2xEEIIUUP7ShfXh7X4bxp12bqVfVJvRQhRD9X6eHC/fv30C+Qrs3Tp0grb+vbty+HDh2u7K0IIIcRtQ1EU/chKWICbfnuPAFdWR8RLvRUhRL0kk1eFEEIIU/LUU5CRAS4usGhRtV8Wm5FPYlYhluYqQvwa67eXjawci88iv1iNnZW89Qsh6g/5iyWEEEKYkr//hoQEaNasRi8rq6/SyccZWytz/XYfFzuaOduSkFlARMwVerdqUqvdFUIIQzKJOitCCCGEuDXhV9VXuZa+3oqsWxFC1DMSrAghhBD1nKIo+pGV0BaVBCsBZcUhZd2KEKJ+kWBFCCGEqOei0/JIySnCysKMLr6NKzzfw18XwByJy6KwRFPX3RNCiJsmwYoQQghRz+0rnQLW2ccZG0vzCs/7udrh4WhNsUbL4dgrdd09IYS4aRKsCCGEEPVceCX1Va6mUqn0oyuybkUIUZ9IsCKEEELUY4qi6As+Vra4voysWxFC1EcSrAghhBD12PmUXNJyi7C2MKOTr3OV7UJLA5nI2ExZtyKEqDckWBFCCCHqsbKUxV2bN8baouJ6lTIBbva4NbKmSK3lSFxmHfVOCCFujRSFFEIIIUzJww/DlSvQuGJWr8qULa4P9a96ChiUrlsJcOHvo4nsv5hBj+tMGRNCCFMhwYoQQghhSmbPrnZTrfaq9SpVLK6/Wqh/WbCSDrS62R4KIUSdkWlgQgghRD11NiWHjLxibC3N6eDtfMP2ZaMpETFXKFZrDdw7IYS4dRKsCCGEEPVUWcrirs0bY2Vx47f0Vu6NcLG3orBEy7GETAP3Tgghbp0EK0IIIUQ9daP6KtdSqVR0b65LYbxP6q0IIeoBCVaEEEIIU9KmDTg66r5eh1arsP/ijeurXOu/eisSrAghTJ8EK0IIIYQpyc2FnBzd1+s4lZRNVkEJ9lbmtGvmVO3dl1Wyj7iUgVoj61aEEKZNghUhhBCiHiqbAtbN3wVL8+q/nbfxdMDJ1pK8Yg3HL2cbqntCCFErJFgRQggh6qGy+io1mQIGYGamolvpupX9pfsQQghTJcGKEEIIUc9orl6vUs3F9VcLlXUrQoh6QoIVIYQQop45eTmbnEI1DtYWtG1a/fUqZcrWrRy8mIFGq9R294QQotZIsCKEEELUM+HRaQB093fB3ExV49cHN3XEwdqCnCI1J2XdihDChEmwIoQQQtQzNa2vci1zMxXd/Mumgsm6FSGE6ZJgRQghhKhH1BotBy9dASC0hovrr9bDX4pDCiFMnwQrQgghRD1yLCGL3CI1TraWBHs53vR+epQGOgcvZaCVdStCCBNlYewOiIoURaFEo2BlIbGkEELcdhYuhIICsLWt9OmykZAe/i6Y3cR6lTLtmjpib2VOVkEJp5NyCG5684GPEEIYinwaNkGzN5yh3Tsb2HM+zdhdEUIIUdfuvhtGjdJ9rUR4aW2UW5kCBmBhbkZIc1m3IoQwbQYLVubPn4+/vz82NjaEhISwa9euKttu374dlUpV4XH69GlDdc9kpecWsWT3RYo1Wt7/86SklBRCCKFXotFy6NLN11e5Vtm6lf2ybkUIYaIMEqysXLmSF154gTfffJPIyEh69+7N0KFDiY2Nve7rzpw5Q2Jiov7RqlUrQ3TPpP28P5YitRaAM8k5rI1MMHKPhBBCmIqj8ZnkF2tobGdJoIfDLe+vrDjkgUsZKIrcHBMNh1arEBEjdYQaAoMEK3PmzOHxxx9n8uTJBAUFMXfuXHx8fFiwYMF1X+fu7o6np6f+YW5ubojumazCEg0/hl8CoKtfYwDmbDpLYYnGiL0SQghRpyIiIDxc9/UaZSmLQwNcb2m9Spn2zZyxsTQjI6+Ycym5t7w/IUzFZ5vO8MCCcD7+55SxuyJuUa0HK8XFxURERDBo0KBy2wcNGsTevXuv+9rOnTvj5eVF//792bZt23XbFhUVkZ2dXe5R3/0RdZm03GKaOtnw/aRueDhak5BZwLJ9McbumhBCiLpy773Qs6fu6zXK1qvUxhQwACsLM0JKb47tj5Z1K6JhSM0p4rvdlwD4YW8MCZkFxu2QuCW1HqykpaWh0Wjw8PAot93Dw4OkpKRKX+Pl5cXixYtZs2YNv/32G4GBgfTv35+dO3dWeZxZs2bh5OSkf/j4+NTqedQ1RVH4dnc0ABN7NcfBxpIXBrQGYN6282QXlhize0IIIYysSK0hIkZXXyXsFhfXX62Hv25fUm9FNBSLdlygoHRWSrFGy1dbzhm5R+JWGGyBvUpVfnhaUZQK28oEBgbyxBNP0KVLF8LCwpg/fz7Dhw/n008/rXL/M2bMICsrS/+Ii4ur1f7XtV3n0jibnIu9lTljuvkCMCrEm4Am9lzJL+GbndFG7qEQQghjOhKXRWGJFrdGVrR0b1Rr++1xVSV7Wbci6ruUnEKW7dfNSHmuv27t8+qIeC6m5RmzW7XibHIOxxOyjN2NOlfrwYqbmxvm5uYVRlFSUlIqjLZcT2hoKOfOVR0JW1tb4+joWO5Rn32zSxeMjOnmi5OtJaBLK/nq4EAAvt11kZScQqP1TwghhHGVrVfpEeBa5c2/m9HRxxkrCzPScou5kFr/P9CJ29vC7dEUlmjp7OvMiwNa0b+NOxqtwuebzhq7a7fkfEoOI77azch5eziTlGPs7tSpWg9WrKysCAkJYdOmTeW2b9q0iZ49e1Z7P5GRkXh5edV290zSmaQcdp1Lw0wFk3o1L/fc4LaedPJxpqBEw1dbzhung0IIIYwuPFpXe6s2p4AB2Fia08XXGZB6K6J+S87+b1Rl+sDWqFQqpg/STan/48hlTl6un+ubi9Vanv8liiK1FrVW4d0/TtxWo6AGmQY2ffp0vv32W7777jtOnTrFiy++SGxsLFOmTAF0U7gmTJigbz937lzWrl3LuXPnOHHiBDNmzGDNmjU888wzhuieyVlSulZlSDtPfFzsyj2nUql4bUgbAFYciOVSAxjGFEIIUTOFJRoOx2YCtbe4/mpl61ak3oqozxZsv0CxWktXv8bc0dINgLZNnbi7g+7m95xNZ4zZvZs2d/NZTlzOxsnWEmsLM8Kj0/n7WKKxu1VnDBKsjBkzhrlz5/L+++/TqVMndu7cyfr16/Hz8wMgMTGxXM2V4uJiXn75ZTp06EDv3r3ZvXs3f//9N/fff78humdSUnOKWBt5GYDH7wiotE1YC1f6BTZBrVX4dGP9/EUTQghx8yJjMylWa3F3sCbAzb7W998jQNatiPotMauA5Qd0ny1fLB1VKfPiwNaYqWDzqRQOx14xVhdvysFLGSzccQGAj+9vz5S+LQD48O9T5Berjdm1OmOwBfZTp07l0qVLFBUVERERQZ8+ffTPLV26lO3bt+t/fvXVVzl//jwFBQVkZGSwa9cuhg0bZqiumZSfwi9RrNHSxddZnz6yMq8OboNKBX8dTeRY/O23uEoIIW5nZSmLQ2t5vUqZLr6NsTI3Izm7iJj0/FrfvxCGNn+bblSlu78LPa8ZfWzRpBEPhngD8OmG+nPTN6ewhBdXRqFV4IEu3gxt78XT/VrQzNmWxKxC5m+7YOwu1gmDBSvixgpLNPxUWkNlcu/KR1XKBDd15N6OTQH4vw2nDd43IYQQpmPfhdqtr3ItG0tzOvo4AbJuRdQ/CZkFrDyoywr74oDWlQb0z/VvhaW5ir0X0tlzPq2uu3hT3v3jJPFXCvBubMu79wQDut/Vt+4OAmDxzmhi0hv+8gAJVozot8MJXMkvwbuxLYOCb5wp7aVBgViaq9h1Lo3d5+rHL5oQQohbU1CsITKu9uurXEvWrYj6at628xRrtIQGuFQZ0Hs3tuORHrrlCLM3nDH56Y7/HEtkzeF4zFQwZ3QnHGws9c8NbuvJHS3dKNZo+d9fJ43Yy7ohwYqRaLWKfmH9pF7+WJjf+J/Cx+W/X7RP/j2NVmvav2hCCCFuwqlTkJWl+wpExFyhRKPg5WSDn6vdDV588/5btyLBiqg/4q/ks/rQf6Mq1zP1zhbYWJoRFZfJllMpddG9m5KcXciM348BMKVvC7qX1kIqo1KpePeeYCzMVGw+lcK2M6Z7LrVBghUj2X42hQupeThYWzCmm0+1X/fMXS2xtzLnWEIW64/fPpkghBDituHgAI6Ouq/AvtL1KmEGWq9SJsSvMRZmKhIyC4jLkHUron6Yt+08JRqFXi1d6XGDkUd3Bxsm9fIH4NONZ0zypq+iKLzy61Ey80to18yRF6oIwFq6O+jLXbz/50mK1Jo67GXdkmDFSL7ddRGAh3v40sjaotqvc2tkzRN9dOtbPt1whhKN1iD9E0IIYRquXlxvSHZWFrT3Llu3IqMrwvTFZeSz+lA8cONRlTJP9QnAwcaC00k5/Hn0siG7d1N+DI9h59lUrC3MmDumE1YWVX9Uf65/K5o4WHMxLY/vdl+qu07WMQlWjODE5Sz2XkjH3EzFoz2b1/j1k3sH4GpvxaX0fP2CMiGEEA1PXpGaI3GZgOEW11+tbN1K2WiOEKbsq63nUGsVerdyo2tzlxu/AHC2s+LJ0qRGn286a1I3fc8l5/DRet30zzeGBdHS3eG67R1sLHm9tBbfV1vPkZRVaPA+GoMEK0awZLduVGVYey+aOdvW+PWNrC149q6WAHyx5dxtk2dbCCFuC3PmwLvvwpw5HIq5glqr0MzZtkLRYEO4ut6KEKYsJj2PNYcTAF0dlZqYdIe//qbvmoh4Q3SvxorVWl5YqatS36d1EyaE+VXrdfd1bkYXX2fyizXM+ueUgXtpHBKs1LHk7EL+PKIbdnyit/9N72dsDz98XGxJzSni+z2Xaql3QgghjG7OHHjvPZgzh3ADpyy+Vle/xpipIC6jgMuZBXVyTCFuxpdbzqPRKvRt3YQuvlXXqatMI2sLnu7XonQ/5ygsMf56j7Iq9c52lsx+sEO116eZmal4/952qFSwLuoyBxrgFE4JVurYD3svUaJR6N7chQ7ezje9HysLM14eFAjAwu0XuJJXXEs9FEIIYSquXlxfFxxsLGnXTOqtCNN2MS2P3yNL16rUcFSlzLhQP7ycbLicVcjy/bG12b0au7pK/az72uPhaFOj17dr5sRD3XwBeOePE2hMMHHArZBgpQ7lF6v5ufQX4vFbGFUpM6JDU4K9HMkpUjNv2/lb3p8QQgjToQWOJWQBEFpHIyvw30J+qbciTNVXW86hVeCuNu508nG+qX3YWJrz7F2tAF1Gsbwi40ypv7pK/YMhuir1N+OVwYE42VpyKjGb5ftjarmXxiXBSh1aExFPVkEJfq52DAi6cRHIGzEzU/HqEN3oyo/hMSTIkL0QQjQYxWotGq2Cr4vdTa1vvFk9/KXeijBdF1JzWRulW6vywoBWt7SvUV298XO1Iz2vmKV7L9VC72ru6ir174wIvun9uNhb8dIg3SjTpxvPktGAZtxIsFJHNFpFv7D+8Tv8MTernVz5fVs3ISzAlWKNls83na2VfQohhLg551Nya20KRrFal6WorqaAlena3AWVSjfVJiW7YWYXEvXXl6WjKgOCPG5pOj2ApbkZ00unkS3ccYGs/JJa6GH1XV2l/vMx5avU34yx3X1p4+lAVkEJn248U0u9ND4JVurIllPJXErPx8nWkgdDvGttvyqViteG6tLW/XY4njNJObW2byGEENVXWKLhvvl76P3JVuZsPHPLhRX1wUodTgEDcLK1JNjLEYB9MroiTMj5lBz+KE1SdKujKmVGdGhKoIcDOYVqFu+6UCv7rI5rq9R3q2bq5euxMDfjvXvaArDiQCzHS6eR1ncSrNSRb0tHVcb28MXOqvpFIKujk48zQ9t5olVg9obTtbpvIYQQ1XM2OQczlYrLWYV8ufU8vf9vG2O/2ce6qISbyjZUojVOsAL/1VvZL/VWhAmZu/kcigKDgj30iSBulZmZSj996rvdl0jNKaqV/V5PdavU34weAa7c07EpiqJbbK8o9X+xvQQrdeBofCYHLmZgYabi0bDmBjnGy4MDMTdTsflUCgcvyZ0wUXNX8oo5m5xDXEY+6blFFJZoGsQfOSHqSgdvZ/a/0Z8vH+7MHS3dANh7IZ3nf4mi+4ebeXvd8Zrd6VQgwM2+xpmBasN/9Vbk/USYhrPJOfx9LBGgVj/cAwwM9qCjjzMFJRrmbzd8wqKaVKm/GW8MC8LOypyImCv8HplQq/s2htq9xS8q9e0u3ajKPR2b4ulkmDedFk0aMbqrNysOxPHJP6dZPSWs2jm6RfUoikJ2oZqkrEISswpQqVT0auGKhXn9jvkVReGnfTF88Ncpiq+p5GumAjsrC2ytzLGzMsfOyqL0a8Wfba0ssC/9vpu/C208HY10RkIYj42lOfd0bMo9HZsSl5HPrxHx/BoRT0JmAT+Gx/BjeAzBXo6M6ebDyE7NcLK7/hz1HnW8XqVM99IpKedTcknLLcKtkbVR+iFEmS9KR1WGtvMkuGntvr+oVCpeGRTIuCX7+XlfLJN7BxgsqUVNq9TfDE8nG565qyX/9+8ZZv3z/+3dd3xUxdrA8d9ueu+VJHQIvfeqKGJBARVFL4odxYoVr76oVy92xatYQMWCilhREaX3DqEHCAHSSe/J1nn/2GQlJEBIstlN8nw/7md3z86enR0Pm/OcmXkmnsu7htV7Pow9SbBiY2n5ZdYrAXcOr3+64vN5ZEwnft6Tys5Teaw6nMllXeufcaylUEqRW6InvaDcEowUlpNRUEZGgY6MwjLr9lJ91aEcg9oG8r8pfQi1w5XPhlBQZuCZH/fx54EMAHzdndGbzJQbLEGLWUGxzkjxRaZ0nD2+qwQrosWLDvTkscs78fCYjmxKyOb7ncn8ffA0h9ILmb30IK8sO8y4buFM7h/N0PZBaCsTr/Tty2Fnf1JcvOwyBAwgwMuV2HAf4jOK2JaYy9U965ZOtSEdO13Esv0ZTOrbiuhAT3tXRzSiw+mF1nOpRxporsrZhnUIYnC7QLYm5vLeymO8dkPPBv+Muq5SXxd3DW/Lkp0pnMgu4b1Vx/j31XXPNGZvEqzY2BebT2IyK4a0C2qw8ZXnEu7nzh3D2vLh2uO8/lc8l8SGNljWseZAbzQTn1HI/tQCknJLK3pILEFIRmG5dTLrhQR4uhDu50FSTgnbTuRy1XsbeW9Kb4a2D7bxN2hYe5PzefDb3STnluHipGHWlV24Y1gbNBoNJrOizGCiVGekVG+quBnPuj/HY52JdiHe9v56QjgMJ62GkZ1CGNkphLwSPb/EpbJ4RzLxGZbJwkv3phEV4MGN/aK5oX8UXt/9wFX/WYFSsL1d/Sfd1tWgtoGWYOVEjl2DFZNZMX9DIm//fRS9ycyCDYm8PLE71/VuZbc6icY1d+UxAK7uGWGzC2EajYYnr+jM9R9u4YfdKdw3ql2D/y2rXKU+4CJXqa8LN2cn/m98V+74fAefbzrJTQOibdKL0xg0qpkMSi8sLMTPz4+CggJ8fR3jim6xzsiQOasoKjfy6e39GdMAa6tcSEGZgZGvr6GgzMAbN/Tkxv7RNv9MR2Q2K45nFbM3pYB9KfnsTSngcFphtWFOZwv2diPCz51wP/eq974e1ufuLk4AJGYV88Ci3cRnFKHVwMzLO/HA6A7/XB11UEopPtt0klf/PIzBpIgO9OD9KX3pVceFtYQQF08pxf7UAr7fmcyvcWkUlVt6LzUa6Bxm6dHoEOrNypmj7FbHZfvTeWDRbjqH+fDXYyPtUofErGKeWLKX3Un5gOU3OrvYMgH6hn5RvHhtN7zc5Lprc3YwrYCr39uIRgN/PzqSjmG2PeG+c+EOVsdnMr5XJP+b0qfB9rvjZC43fbwFs4KP/tWXcd0b5wLA3V/sYOXhTEZ0DObLOwc61BSB2p67y79wG/p+RzJF5UbahXhxSefQRvlMPw8XHhjdnjl/xvPOiqOM7xVpPbmuiVKKUr2JwnIDReVGisoNFJYZKSw3UFjx3FmrYUKfVoT6OOZQJ6UUqfll7E2uDEzyOZBaWOPQJT8PF3pG+dEh1JtIPw9rMBLma7ldzCS3diHe/PzAMP7v1wMs2ZXCm38fZeepPN6Z3JsAL9eG/IoNJr9UzxNL9rHy8GnAMvb31et74ufRdMeyCtEUaTQaekb50zPKn39f1ZXlB9P5fkcKWxJziK9IQd/Y66ucbWDF4pBHTheRW6InsBF/18xmxcLNJ3n9r3jKDWZ83Jx5fnxXJvVpxXurE3h/9TF+2JXCrlN5zL25d73X2xCO692KXpVrekbaPFABeHxsJ1bHZ/Lb3jTuH9W+3vNjlFIczyqpskp9YwUqAM9f05X1x7LZcCybvw6eZlz38Eb77IYiPSs2YjIrRr2xhpS8Ml6Z2J1bB9luXOLZyg0mLnlzLekF5VzVI5xQH3eKyo0VAYklGCnSVQYnxlotYObmrOXWQa2ZPqqd3edn5BTr2JdSQFxyPvtS8tmXUkBODSu1erg40b2VLz2j/OkV7U+vKD9iAj1tclXh+53JPP/LAXRGM5F+7rx/a1/6xgQ0+OfUx65TeTz87R5S88twddLy/DVd+Nfg1g51lUWIlu5UTglLdqZwMK2AF67tRusgL7vW57K315GQWcycST2YMjCmUT4zKaeUJ3/Ya81ENqJjMK9e37PKhOdtiTk8ujiO9IJyXJw0PDG2M/eMaOfwPdvi4hxILeCa/21Eq4G/HxtFh9DGGWL84De7+X1fOpd1CWXB7QMu+v05xTo2Hc9h47EsNh7LJq3AsrhqVIAHfz4yotEnu7/51xHeX5NAVIAHK2eOOu9F7MZU23N3CVZs5M/96dy/aDcBni5sfmYMHq6Ne2B8vyOZp37cV+vyzloNPu7O+Li74OvhjI+bCz7uzvh6uJCQWUxccj5gCVqmDIzh/tHtGzWdZkJmMd9uT+Kvgxmk5JXVWP/YCB96RvnTO8qfntF+dAjxbtRMXYfTC5mxaDeJ2SU4azU8e9U/c0DsyVwx3vuNv45gNCvaBHny/i19bT6HSghRR9deC1lZEBICS5fatSov/naQzzedBKBvjD93j2jHFd3CbTIfUinFom1J/HfZYUr1JjxdnXj2qi7cOiimxt/R/FI9z/y4n+UHLQlCRnQM5q0be9n9gppoOJVDmCb0juTdmxtuSNaFHM8q5vK312FW8NMDQy948bHcYGLHyVw2VvRgHEovrPK6q5OWAW0DeP4a+ySfKdUbueytdaQVlPPoZR0bPPVzXUmwYmfXf7iZXafyeOjSDjw+tnOjf77JrPhwbQKnC3WW4MO9IviouPdxd8HvjO0eLk7nPKlWSrExIZt3Vx5j16k8AFydtdwyMIbpo9rbLB2zzmhi+YEMFm1LYvsZuf41GsvaA70qekx6RvnRJcLXIa4UFJUbeOan/fyxz5K15Mru4bx2Q0987ZQyMLdEz+Pfx7HmSBYA43tF8t+J3Zt0CkMhmr2oKEhNhVatICXFrlUpKjfwn98P8cueNOucv+hAD+4c1pYb+0fj3UDzRdLyy3j6x31sOJYNWIagvXlDL2KCzp/1SynFdzuSefG3g5QbzAR5ufLmjb24JLZxhl7XRbnBRGJWCQlZxRzPLMbT1YlhHYLpGuErPUNn2Jucz3UfbEKrgZUzRzV64panftjL9ztTGNo+iG/uGVzlNbNZcSi9kA3HstmYkMWOk3nVkvTEhvswomMwwzuGMLBNYKNftD7b7/vSePCbPbg5a1k5c5RDZNSTYMWOdiflMWneZlydtGx85hKHnetxsZRSbErI4d2VlrkZYAlapgyI5v7RHRosaEnMsvSi/LArhbxSA2BZ7+PS2DBuHhDNoHaBDn2yrZTiyy2nePmPQxhMlp6Mebf2a/C88Bey/UQuD3+7h4zCctyctcwe340pA6Pt3tMjhLgABwpWKmUV6fhqy0m+2nrK+rvs4+7MLYNimDa0DRF+dVuTQinFkl0p/Oe3QxTpjLg5a3l6XCzThra5qBP3hMwiHvo2jsMVV7TvGNaGZ66Mxc3ZfieIuSV6jmcVk5BpCUoSsoo5nlVMSl4ZNZ15BXm5MrxjMCM6hjCiY7BdFgN1JHd8vp01R7KY1LcVb0/u3eifn5JXyiVvrsVgUiy6exCtgzzZlGDpOdl8PIfcs4afh/u6V/z/C2Zo+2BCfBxrbSKlFLfM38aWxBzGdQvno6n97F0lCVbsacai3fyxP50b+0Xxxo297FoXW1BKsfl4DnNXHmP7SUuPh6uTlpsGRHP/6PZE1mEhJb3RzF8HM/hmWxJbEnOs2yP83LlpQDQ3DYiu8x9De4lLzmfGot2k5pfh5qzlpeu6Mbm/7YMFs1kxb20Cb684illBuxAvPrilL10i7N/jKISoBQcMViqV6U38tCeFTzecIDG7BLAMw726ZwT3jGh3UcNLMwvLmfXTflbFZwLQJ8aft27sVecr6OUGE68tj7cOW+sS4cv/pvS2abpWs9mS4KWyl8QanGSVVDuZPZOfhwsdQr1pH+JFbomeLcdzKDlrHa/OYT6M7GQJXga2DXSI0QONZU9SHhPnbcZJq2HVzFG0CbbP3K0Xlh5k4eaTuDprq/WceLk6MaR9EMM6WAKU9iHeDn8x8EhGEVe9twGTWfH1XYMY3tG+Sy5IsGInybmljHpjDWYFyx8d0awXxlNKsSUxh3dXHrMO03J10jJ5QBQPjO5Qq6DlZHYJ3+5I4oedKdZJ8hoNXNI5lFsGxjC6c0iTXiE+v1TPzO/3srrij/H1faN4eUJ3m3UHZxXpmPl9nHUoxaQ+rfjPhO6S2lOIpsSBg5VKZrNizZFM5m9IZGviP8N0B7cL5O7h7bg0NvScPSNKKZbuTeP/fj1IQZkBVyctM8d24p4R7RpkLsya+EyeWLKXnBI97i6WXuWbB9T/QlFlVqfdSXnsScpjb3IBidnF1kV0a9LK34P2FUGJJTjxpkOoN0FerlXqozea2ZOUx4Zj2Ww4lsW+1IIqvS+uzloGtQ1kREXPS2y4j0OdGJvNipS8Mg5nFHIiuwS90YzJrDArhcmsMCmF2awwmalhm+WxUlgfH0qz7OeGflG8aceLvplF5VzyxlpK9CactBp6RfkxvKLnq3e0Py5N8PykMgAb1iGIRXcPvvAbbEiCFTv5z++H+HTjCUZ0DOaruwbZrR6Nbctxy/CwyuwtLk4aJveP5oFLOlTJ4AKWH+UVh07z7fYkNiZkW7eH+bpxU/9obhoYU+09TZnZrPho/XHe/OsIZmW5WvbBrX0bPKvJ5oRsHlkcR1aRDncXLS9d150b+0U51B80IUQtNIFg5UwHUgtYsCGR3/elY6zILtku2Is7h7fl+r5RVS7OZBfreO7nA9ZJ8d1b+fLWjb3pHN6wvR+ZheU8vmSv9cLNld3DeXVST/w8az+EuFhnZG9yPrtP5VkClOR88iuGwJ3JxUlD22AvayBSGZS0C/HC07VuF4pyS/QVQ46y2HAsm/SKbFKVQnzcGNEhmJGdQhjWoXGHHBWUGojPKCQ+o6jiVsjRjKJqPUP15eKkYeXMUXbPiHcko4jU/FL6twm02/zThlRQZuDTjSe4b2Q7u1/ItHuwMm/ePN544w3S09Pp1q0b7777LiNGjDhn+XXr1jFz5kwOHjxIZGQkTz31FNOnT6/15zlCsFJYbmDonNUU64x8cedARnUKsUs97GlromV4WOVQLhcnDTf2j+aB0e0xm+HbHUks2ZliXdRLo4GRHUO4ZVAMY2JDm3QvyoVsTczhoW/3kFWkw8vViTnX9+TaXpF13p9SCp3RTEGZgW+2JfHe6mMoBR1Dvfng1r50aoR89EIIG2hiwUql9IIyFm4+yTfbkqyLXAZ4uvCvwa2ZOqQ1u07m8e9fDpBbosdZq+GhSzvywCXtbXZ12mxWLNhoyYRoMCki/dx59+Y+1vVjzqSU4kR2CbuT8tmdlMfuU3kcPV3E2Zn93Zy19Izyo29MAH1i/Okc7kt0gIdN/3ZZenSKWX/UErxsTcylzFA1MIgN96GVvweBXq4EersS6OlqeVxxC/JyI8DLBW8351pfwNIbzSRmF3Mko4jD6UUcqQhQzg6cKrk6aekQ6k3HMG88XZ1x0oJWo0Gr0eCktdwsj8FJo0Gr1fxzf+ZjDWi1Grq38nO4JQBEw7JrsLJ48WKmTp3KvHnzGDZsGB9//DELFizg0KFDxMRUz9N+4sQJunfvzj333MN9993Hpk2beOCBB/j222+5/vrra/WZjhCs/H0wg+lf76J9iDd/PzayRV/R3paYw9xVx9h83BK0OGs11m5esFwVmtw/ipsHxDhERorGkllUzsPf7rEOm5g6uDUzL+9EqcFEQamBgjLLrbDMQGH5P8/P3G55bKSwzGDNzlNpcv8oXrzWdsPMhBCNoIkGK5WKdUaW7Ezms00nSM61pJp31mqsvS6x4T68eWOvRkufvi8ln0e+i+NEdglaDTx4aUfuHtGWA6kF7Emy9JzsSc6vcY5JK38P+rYOoG+MP31jAugS4XtRiwfbgs5oYtepf4aMHUgtvPCbKrg6aQn0ciXAy5WgM+4rt5XojMSnW4KS41nFGEw1nyK28vegS4QPncN9iA33JTbchzbBXk1yWJSwH7sGK4MGDaJv3758+OGH1m1dunRhwoQJzJkzp1r5p59+mqVLl3L48GHrtunTp7N37162bNlSq890hGAFLItZZRXr6NdargaAJSPV3FVH2ZRgCVpGdAzmloExXNY1rMX+qBlNZt5ZeZQP1hxvkP05aTWE+7rz+NhOTOob1SD7FELYURMPViqZzIq/D2Ywf0Miu5Py0Wrg/tHteXhMx0bP0lWiMzJ76UF+2HXu9nR11tKjlZ81MOnbOqBJZOTKLtax+1QeOSV6cs+45ZToyTvj+dm9MbXh4+ZsCUgifOgc7kuXcB86hfs0i+FQwv7sFqzo9Xo8PT1ZsmQJEydOtG5/5JFHiIuLY926ddXeM3LkSPr06cPcuXOt237++WcmT55MaWkpLi7V/1HodDp0Op31eUFBATExMSQnJ9s9G5ioLjG7GDcnLa0CWk4vyoWsP5bF8z8fIKdEj4uTFl93Z3w8LGvh+Fbc+3m44OP2z3MfDxf8KhfurFi082K69YUQTUBsLKSnQ0QExMfbuzYN4lBaAW4uWtqH2Hd46rL96bz020GKdSbCfd3oFW1Zr6tXlB+xEb52TXVsa2V6E7klOvJLDeSW6skvtQQx+aUG8ioeuzpp6RTuQ6cwHzqGehPp7yF/X4TNFBYWEh0dTX5+Pn5+5+5pbfCZNdnZ2ZhMJsLCwqpsDwsLIyMjo8b3ZGRk1FjeaDSSnZ1NREREtffMmTOHF198sdr26OjoetReCCGEcBDp6XCeP+CifpKBHfauhBCCoqKixg1WKp0diSulzhud11S+pu2VZs2axcyZM63PzWYzubm5BAUF1ekqQGV0Jz0ztiHtazvStrYl7Ws70ra2Je1rW9K+tiNta1uO0r5KKYqKioiMPH+yoQYPVoKDg3FycqrWi5KZmVmt96RSeHh4jeWdnZ0JCgqq8T1ubm64uVVN1efv71/3ilfw9fWVfxg2JO1rO9K2tiXtazvStrYl7Wtb0r62I21rW47QvufrUanU4DOcXV1d6devHytWrKiyfcWKFQwdOrTG9wwZMqRa+b///pv+/fvXOF9FCCGEEEII0fzZJB3TzJkzWbBgAZ999hmHDx/mscceIykpybpuyqxZs7jtttus5adPn86pU6eYOXMmhw8f5rPPPuPTTz/liSeesEX1hBBCCCGEEE2ATeas3HTTTeTk5PDSSy+Rnp5O9+7dWbZsGa1btwYgPT2dpKQka/m2bduybNkyHnvsMT744AMiIyN57733ar3GSkNwc3Nj9uzZ1YaWiYYh7Ws70ra2Je1rO9K2tiXta1vSvrYjbWtbTa19bbaCvRBCCCGEEELUR8tclU8IIYQQQgjh8CRYEUIIIYQQQjgkCVaEEEIIIYQQDkmCFSGEEEIIIYRDkmBFCCGEEEII4ZAkWBFCCCGEEEI4JAlWhBBCCCGEEA5JghUhhBBCCCGEQ5JgRQghhBBCCOGQJFgRQgghhBBCOCQJVoQQwgG98MILaDQasrOza3y9e/fujB492vo8OTmZBx54gE6dOuHh4UFgYCA9evTgnnvuITk5udr7N27cyJQpU4iJicHNzQ0vLy+6devG448/Tnx8fJWySim+++47RowYQWhoKO7u7kRFRXHFFVewYMGCWn+nlStXMmTIEDw9PQkODmbatGlkZmZWK5eQkMDUqVOJiYnBw8OD9u3bM3PmTHJycqqUO3jwIA888ABDhgzBy8sLjUbD2rVrq+1v7dq1aDSac96mT59epfyePXuYMGECkZGReHp6Ehsby0svvURpaWmVcufbZ2xsbLV6/O9//yM2NhY3Nzfatm3Liy++iMFgqFYuMzOTadOmERwcjKenJ0OGDGHVqlW1aWIhhGh2nO1dASGEEPWTkpJC37598ff35/HHH6dz584UFBRw6NAhvv/+exITE4mOjraWf+6553jllVcYMmQIzz33HB07dsRoNLJv3z6++OIL3n77bYxGI05OTgDMmjWL1157jXvuuYcnn3wSHx8fTp06xerVq/n111+5++67L1jHdevWceWVV3L11Vfz66+/kpmZydNPP82YMWPYuXMnbm5uAGRlZTF48GB8fX35z3/+Q0xMDHv27GH27NmsWbOGXbt2odVarrPt3LmTX375hT59+jBmzBh+++23Gj+7b9++bNmypdr2Dz/8kC+//JKJEydatx06dIihQ4fSuXNn3n33XYKDg1m/fj0vvfQSu3bt4tdff7WWrWmf27Zt49FHH62yT4BXXnmF559/nmeeeYaxY8eyY8cOnnvuOVJTU/nkk0+s5XQ6HWPGjCE/P5+5c+cSGhrKBx98wLhx41i5ciWjRo26YFsLIUSzooQQQjic2bNnK0BlZWXV+Hq3bt3UqFGjlFJK/d///Z8CVGJiYo1lTSaT9fE333yjADV9+nRlNpurlTWbzer9999XRqNRKaVUaWmpcnNzU7fddtsF930+AwYMUF27dlUGg8G6bdOmTQpQ8+bNs26bP3++AtTKlSurvP+///2vAtTu3btr/OwlS5YoQK1Zs6ZW9TGbzapdu3aqdevWVfbz73//WwEqISGhSvl7771XASo3N/e8+502bZrSaDTq2LFj1m3Z2dnK3d1d3XvvvVXKvvLKK0qj0aiDBw9at33wwQcKUJs3b7ZuMxgMqmvXrmrgwIG1+m5CCNGcyDAwIYRo4nJyctBqtYSGhtb4emVPBMDLL79McHAw77zzDhqNplpZjUbDjBkzrL0qJSUl6HQ6IiIiLrjvc0lNTWXHjh1MnToVZ+d/OvSHDh1Kp06d+Pnnn63bXFxcAPDz86uyD39/fwDc3d0v6rPPZc2aNSQmJnLHHXdU2c/5Pl+r1eLq6nrOfRYVFbFkyRJGjRpFhw4drNuXL19OeXk5d9xxR5Xyd9xxB0opfvnlF+u2n3/+mc6dOzNkyBDrNmdnZ/71r3+xfft2UlNT6/R9hRCiqZJgRQghmrghQ4ZgNpuZNGkSf/31F4WFhTWWS0tL49ChQ1x++eVVTvrPJzg4mA4dOjBv3jzefvtt4uPjUUpdVP0OHDgAQM+ePau91rNnT+vrABMmTCAmJobHH3+cgwcPUlxczPr163n11VcZP348Xbp0uajPPpdPP/0UrVZbLYC4/fbb8ff35/777ycxMZGioiJ+//13Pv74Y2bMmIGXl9c59/ndd99RUlJSbVhc5ffr0aNHle0REREEBwdX+f4HDhw4ZzuBZZ6OEEK0JBKsCCFEE3fLLbdw3333sXLlSsaNG4e/vz9du3Zl5syZnDx50lqucqJ969atq+3DZDJhNBqttzMDkm+++YaAgAAef/xxunTpgp+fH+PHj+err76qVeBSOTE+MDCw2muBgYFVJs77+fmxdetWDAYD3bt3x8fHh1GjRjFo0CCWLFlS6zY5n/z8fH766Scuv/xyYmJiqrzWpk0btmzZwoEDB2jfvj2+vr6MHz+e22+/nblz5553v59++in+/v5cf/31Vbbn5ORYkxic7ezvn5OTc852qnxdCCFaEglWhBCiidNoNHz00UckJiYyb9487rjjDgwGA++88w7dunVj3bp1F9xHUFAQLi4u1tuPP/5ofW3AgAEkJCSwfPlynn32WWt2qttuu41rr73WGrCcHfCYzeZq9TxX/Svl5eVx3XXXUVhYyKJFi1i/fj3z5s1j48aNXHvttRiNxro0URWLFi2ivLy8xsQAJ0+eZPz48QQFBfHDDz+wbt06Xn/9dRYuXHjeRAIHDx5k27Zt3HrrrTX2Wp3ru9f02sWUFUKI5k6ygQkhhAOqnNthMplqfN1oNFrnV1Rq3bo1999/v/X5999/z5QpU3jyySfZvn27NSPYqVOnqu1v7dq1GI1Gdu3aVS2VL1jmclxxxRVcccUVgOUK/w033MDvv//On3/+yVVXXcWYMWOqBEa33347CxcuJCgoyPqes+Xm5lbpSXjttdeIi4vj1KlT1nkyI0aMIDY2lksvvZRFixZx++2319gmtfXpp58SEhLCddddV+21Z555hsLCQuLi4qw9ISNHjiQ4OJg777yT2267rcaMXJ9++ilAjQFNUFAQ5eXllJaW4unpWeW13Nxc+vXrV6XsudoJau6dEkKI5kx6VoQQwgGFhYUB1DihWilFenq6tcy5TJ48ucqckMjISLp168aKFSsoLy+vUrZ3797079+fzp0716p+QUFBPProo8A/czI+/vhjduzYYb298MILgGVNGID9+/dX28/+/futrwPExcXRqlWrahP6BwwYUOWz6mrPnj3s2bOH2267rVqwV/n5Xbt2rTZk63yfr9fr+eqrr+jXrx+9e/eu9nrlXJWzv39GRgbZ2dlVvn+PHj3O2U5AlbJCCNESSLAihBAO6NJLL0Wj0bB48eJqry1fvpzCwkIuu+wyANLT02vcR3FxMcnJyURGRlq3/fvf/yY7O5uZM2fWar6JwWA45zyJw4cPA1j337lzZ/r372+9tWnTBoBWrVoxcOBAvv766yo9RVu3buXIkSNMmjTJui0yMpKUlJRqQVrlmiZRUVEXrPP5VPaA3HXXXTW+HhkZaZ3YX9vPX7p0KdnZ2efc57hx43B3d2fhwoVVti9cuBCNRsOECROs2yZOnEh8fDzbtm2zbjMajXz99dcMGjSoyv9LIYRoEeyYNlkIIcR5PPTQQ0qj0ah7771X/fLLL+qvv/5SL7/8svL29lb9+/dXOp1OKaXUjBkzVO/evdWcOXPUn3/+qdauXas+//xz1a9fPwWozz77rMp+K9cSGTp0qPrkk0/UmjVr1KpVq9TChQvVmDFjFKCWL1+ulFIqKytLeXl5qWnTpqmvv/5arVu3Tv3xxx/qySefVK6urqpLly6qpKTkgt9lzZo1ytnZWU2cOFGtWLFCLVq0SEVHR6vu3bur8vJya7mdO3da9/vFF1+o1atXq/fee0+FhoaqsLCwKuvOlJSUqCVLlqglS5aoxx9/XAHqhRdeUEuWLFHLli2rVoeysjIVEBCghg4des56/vrrr0qj0ajBgwerxYsXq1WrVqlXXnlFeXt7q65du1rb/Ezjxo1THh4eKj8//5z7ffnll5VGo1HPPvusWrt2rXrjjTeUm5ubuueee6qUKy8vV926dVPR0dFq0aJFasWKFWrixInK2dlZrV279rxtLIQQzZEEK0II4aDMZrP68MMPVf/+/ZWnp6dydXVVHTt2VE8//bQqKiqyltu6dauaMWOG6tWrlwoMDFROTk4qJCREjRs3rsaTdqWUWr9+vbrppptUVFSUcnFxUZ6enqpr167q/vvvVzt37rSW0+l06s0331RXXnmliomJUW5ubsrd3V116dJFPfXUUyonJ6fW3+fvv/9WgwcPVu7u7iowMFDddttt6vTp09XK7d69W02cOFFFRUUpNzc31a5dO3X33XerpKSkKuVOnDihgBpvrVu3rrbfRYsW1Ri8nW316tVq7NixKjw8XHl4eKhOnTqpxx9/XGVnZ1crm5SUpLRa7TkXzTzT3LlzVadOnZSrq6uKiYlRs2fPVnq9vlq5jIwMddttt6nAwEDl7u6uBg8erFasWHHB/QshRHOkUeoiE+YLIYQQQgghRCOQOStCCCGEEEIIhyTBihBCCCGEEMIhSbAihBBCCCGEcEgSrAghhBBCCCEckgQrQgghhBBCCIckwYoQQgghhBDCITnbuwINxWw2k5aWho+PDxqNxt7VEUIIIYQQQpyDUoqioiIiIyPRas/df9JsgpW0tDSio6PtXQ0hhBBCCCFELSUnJxMVFXXO15tNsOLj4wNYvrCvr6+dayOEEEIIIYQ4l8LCQqKjo63n8OfSbIKVyqFfvr6+EqwIIYQQQgjRBFxo+oZMsBdCCCGEEEI4pGbTsyKEEEI0C+npYDKBkxNERNi7NkIIYVfSsyKEEEI4kgEDIDraci+EEC2cBCtCCCGEEEIIhyTBihBCCCGEqLfdSXlcOXcD649m2bsqohmRYEUIIYQQQtTb55tOcji9kFk/7afcYLJ3dUQzIcGKEEIIIYSoF7NZsTkhG4DU/DK+2HzSvhUSzYYEK0IIIYQQol6OnC4ip0Rvff7+mgTyznguRF1JsCKEEEIIIeplU0WvyoiOwcSG+1BUbuSDNQl2rpVoDiRYEUIIIYQQ9bL5eA5gCVZmXdUFgC+3nCI5t9Se1RLNgAQrQgghhBCizgwmM9sSLcHK0PbBjOwYzPAOwehNZt78+4idayeaOglWhBBCCCFEne1NzqdEbyLA04WuEb5oNBqeuTIWgF/j0tifUmDnGoqmTIIVIYQQwpGsWgUHDljuhWgCNiX806ui1WoA6N7Kj4l9WgHw32WHUUrZrX6iaZNgRQghhHAknTtDt26WeyGagMrJ9UM7BFXZ/vjYTrg6admSmMPaI7JQpKgbCVaEEEIIIUSdlOqN7EnOA2BY++Aqr0UFeDJtWBsA5vx5GJNZelfExZNgRQghhBBC1Mn2E7kYTIpW/h60DvKs9vqM0R3w83Dh6OliftyVYocaiqZOghUhhBDCkXzzDSxYYLkXwsFVDgEb1iEIjUZT7XU/TxcevKQDAG+tOEKZ3tSo9RNNnwQrQgghhCN56im45x7LvRAOrnJy/bAOwecsc9vQ1kQFeHC6UMdnm040VtVEMyHBihBCCCGEuGi5JXoOpRcCMKR90DnLuTk78eQVloQRH649Tk6xrlHqJ5oHCVaEEEIIIcRF21Kxan3nMB9CfdzPW3Z8z0i6t/KlWGfkf6sTGqN6opmQYEUIIYQQQly0jedIWVwTrVbDs1d2AeDrrac4mV1i07qJ5kOCFSGEEEIIcdE2H6+YXN/+3PNVzjS0QzCjO4dgNCte/yvellUTzYhDBitz5sxBo9Hw6KOP2rsqQgghhBDiLMm5pZzKKcVJq2FQu8Bav++ZK2PRaGDZ/gx2J+XZsIaiuXC4YGXHjh188skn9OzZ095VEUIIIYQQNajsVekV5YePu0ut3xcb7ssNfaMAmLPsMErJQpHi/BwqWCkuLubWW29l/vz5BAQE2Ls6QgghhBCiBrVJWXwuM8d2ws1Zy46Teaw4dLqhqyaaGYcKVmbMmMHVV1/NZZdddsGyOp2OwsLCKjchhBBCCGFbSql/5qvUIViJ8PPgruFtAXh1eTxGk7lB6yeaF4cJVr777jt2797NnDlzalV+zpw5+Pn5WW/R0dE2rqEQQgjRCMLDoVUry70QDujI6SKyi/W4u2jpE+Nfp31MH92eAE8XErNKWLwzuWErKJoVhwhWkpOTeeSRR/j6669xdz9/nu5Ks2bNoqCgwHpLTpYDXQghRDOwcyekpFjuhXBAlUPABrQJxM3ZqU778HV34eExHQF4Z8UxSnTGBqufaF4cIljZtWsXmZmZ9OvXD2dnZ5ydnVm3bh3vvfcezs7OmEymau9xc3PD19e3yk0IIYQQQtjW5oS6DwE7062DWtM6yJPsYh3zNyQ2RNVEM+QQwcqYMWPYv38/cXFx1lv//v259dZbiYuLw8mpblG7EEIIIYRoOAaTma2Jlp6V4fUMVlydtTx1RSwAn6xPJLOovN71E82Ps70rAODj40P37t2rbPPy8iIoKKjadiGEEEIIYR/7UvIp0Zvw93Sha0T9R7Vc1SOcXtH+7E3O592Vx/jvxB4NUEvRnDhEz4oQQgghKtx3H9x4o+VeCAdTOV9lSLsgtFpNvfen0Wh49kpL78riHckkZBbVe5+ieXGInpWarF271t5VEEIIIRrfH39AaqolI5gQDmZTA81XOdOgdkFc1iWMlYdP89ryI8y/rX+D7Vs0fdKzIoQQQgghLqhUb2R3Uh7QsMEKwDNXdkargRWHTrP9RG6D7ls0bRKsCCGEEEKIC9pxMg+DSRHp506bIM8G3XeHUB9uGhADwH+XHUYp1aD7F02XBCtCCCGEEOKCzkxZrNHUf77K2R67rCMeLk7EJefz54GMBt+/aJokWBFCCCGEEBe00QbzVc4U6uvOPSPbAfDa8njKDdXX2RMtjwQrQgghhBDivPJK9BxKLwRgaPsgm33OvSPbEerjxqmcUt5ZcdRmnyOaDglWhBBCCCHEeW1JzEEp6BTmTaivu80+x9vNmVcq1lr5ZEMiu07l2eyzRNMgwYoQQoiLYjCZmbFoNy/+dtDeVRFCNJLKIWBD29tmCNiZLu8axqS+rVAKnlyyV4aDtXASrAghhLgoG45l8cf+dD7fdJKUvFJ7V0cI0Qg223i+ytlmX9ONMF83ErNLePOvI43ymcIxSbAihBDiovy+L936eE18ph1r0kxNmQJ33WW5F8IBpOaXcTKnFK0GBrULbJTP9PN0Yc4ky3CwTzedYOdJWXulpZJgRQghRK2VG0ysOHja+nyVBCsN7403YMECy70QDqBy1fpe0f74urs02udeGhvGDf2iUAqeWLKXMr0MB2uJJFgRQghRa+uPZlGkM+Ll6gTA5uM5lOqNdq6VEMKWKoOVYY0wX+Vsz1/TlXBfd07mlPKGDAdrkSRYEUIIUWuVQ8BuHhhDVIAHeqOZzQk5dq6VEMJWlFJsPm75Nz60g+1SFp+Ln4cLc663DAf7fPMJtiXK701LI8GKEEKIWik3mFh52DIE7JqeEYyJDQVkKJgQzdmxzGKyinS4u2jpGxNglzpc0jmUm/pHW7KD/bBPenNbGAlWhBBC1Mqa+ExK9SZa+XvQO9qfSyqClTXxmSil7Fy7ZiQ2Fnx9LfdC2NnGY5YhYAPaBOLu4mS3evz7mi5E+LmTlFvK68tlOFhdKaVYtj8ds7np/GZLsCKEEKJWKoeAXdMzAo1Gw+B2QXi4OJFRWG5d2Vo0gOJiKCqy3AthZ5uPN976Kufj6+7Ca9f3BGDh5pNsOS7Dwerirb+P8sCi3Tz9474mc5FJghUhhBAXVKIzsiq+cghYJADuLk7WNRdWH5ahYEI0N0aTma2JlpTBwxtpfZXzGdkphCkDYwB46se9lOhkONjF+GLzSd5fkwBAv9YBaDQaO9eodiRYEUIIcUGr4jMpN5hpHeRJ91a+1u1juliGgq0+IsGKEM3N3pQCinVG/Dxc6Brpe+E3NIJnr4qllb8HybllvPpnvL2r02T8vi+NF347CMDMyztxc0XQ1xRIsCKEEOKC/tiXBsDVPSKqXI27pLMlWIlLzie7WGeXugkhbKNy1foh7YJw0jrGVXifM4aDfbX1lLWO4tw2H89m5uK9KAVTB7fmoUs72LtKF0WCFSGEEOdVVG5gzZEs4J8hYJXC/dzpFumLUrC2oowQonnYVDFfZVhH+w8BO9PwjsHcOsjSM/DkD/soluFg53QwrYB7v9yF3mTmqh7hvHBttyYz/KuSBCtCCCHOa+Xh0+iNZtqFeNElwqfa62POyAomhGgeyvQmdp/KB2BY+8ZfX+VCZl3VhagAD1Lzy5iz7LC9q+OQknNLmfb5Dop1Rga1DeTtyb0dpofsYkiwIoQQ4rx+31uZBSyyxityl3YJAyyr2+uN5katmxDCNnaczEVvMhPh507bYC97V6cabzdnXr/BMhxs0bYka4plYZFdrGPqp9vIKtIRG+7D/Nv72zX1dH1IsCKEEOKcCsoMrD9WOQQsosYyPVv5EeztSpHOyM6TuY1ZPSGEjWw6I2Wxow4bGto+mNuGtAbg6R/3UVRusHONHEOJzsidC3dwMqeUVv4efHHnQHzdXexdrTqTYEUIIcQ5/X0wA4NJ0SnMm05h1YeAAWi1GkZXTLRfLUPBhGgWNidY1jEZ3tHxhoCd6elxscQEepKaX8Z/ZTgYeqOZ6V/vYl9KAQGeLnx510DCfN3tXa16kWBFCCHEOf2zEGTkectVzluRYKUBfPQRfP+95V4IO8gv1XMgrQCw/2KQF+J1xnCwb7cns+5oy030YTYrnvphLxuOZePh4sTndwykfYi3vatVbxKsCCGEqFFeiZ5NFWlBzzUErNLwjsG4OGlIzC7hRHZJY1Sv+brmGrjxRsu9EHaw5XgOSkGHUO8mcVV+cLsgpg1tA8AzP+6jsIUOB5vz52F+iUvDWavhw3/1pXe0v72r1CAkWBFCCFGj5QczMJoVXSN8aXeBq3M+7i4MbBsISO+KEE1d5XwVR1i1vraeGteZ1kGepBeU8/Lvh+xdnUY3f30i8zecAOD1G3pah+Y2Bw4RrMyZM4cBAwbg4+NDaGgoEyZM4MiRI/aulhBCtGh/VA4B63X+XpVKl8ZasoKtjj9tszoJIWxvU8V8laEOmLL4XDxdnXnjhl5oNPD9zhTWHGk5F01+3pPCKxXzdWZdGcukvlF2rlHDcohgZd26dcyYMYOtW7eyYsUKjEYjY8eOpaREhhIIIYQ9ZBfr2FxxdfWaHuefr1Lp0op5K9sSc1tsVp6Nx7LZdSqvfjvZtQu2bLHcC9HI0vLLOJFdglYDg9o1nWAFYGDbQO4Y2hawDAcrKGv+v0Nrj2Ty5JJ9ANw1vC33jmxn5xo1PIcIVpYvX860adPo1q0bvXr14vPPPycpKYld8kMthBB28eeBDMwKekb5ERPkWav3tA32ol2wF0azapFrHmxNzOFfn25jyvytpBeU1X1H110HQ4da7oVoZJXz1HpG+ePn0fTS3T55RWfaBntxulDHf5r5cLC9yfk8sGg3RrPiut6R/PuqLg6bZro+HCJYOVtBgSUDRWBg4DnL6HQ6CgsLq9yEEKLSobRCXlh6kKwinb2r0iT9vjcNuPDE+rNdUtG7sqqFzVspN5h49uf9gCV16Edrj9u5RkLUTWWwMqxD0+pVqeTh6sQbN/REo4EfdqXw+aYTmM3K3tVqcIlZxdyxcAelehMjOgbzxg290DbB1elrw+GCFaUUM2fOZPjw4XTv3v2c5ebMmYOfn5/1Fh0d3Yi1FEI4srT8Mm77bBsLN59k9tID9q5Ok3O6sJztFYs7XtXj4oKVyhTGa49kNssThHOZt/Y4iVkleLlaVoj+dkcypwvL7VwrIS6OUopNxy3zVYY5eMri8+nfJpB7R1iGQ7342yFunr+V41nFdq5Vw8ksLOe2z7aTW6KnRys/PvxXP1ydHe6UvsE43Dd78MEH2bdvH99+++15y82aNYuCggLrLTk5uZFqKIRwZOUGE/d9tYvsYj0Ay/ZnsENWVb8of+5PRynoE+NPVEDthoBV6t8mEB83Z7KL9exLLbBRDR3L0dNFfLg2AYDXbujJwDaB6I1mPpTeFdHEJGQWk1Wkw81ZS9/WAfauTr08NS6W2eO74unqxPYTuVw5dwMfrEnAYDLbu2r1Ulhu4PbPd5CSV0abIE8+v2MA3m7O9q6WTTlUsPLQQw+xdOlS1qxZQ1TU+TMZuLm54evrW+UmhGjZlFI88+M+9qdaVu4d29WSnerl3w+1qKv89VXbhSBr4uqsZUQnyxXZ1Yebf1Yws1kx66f9GEyKMbGhXN0jgkcu6wjAN9uTpHdFNCkbK4aADWgTiLuLk51rUz9OWg13DGvLX4+OZGSnEPRGM2/8dYTx/9vI3uR8e1evTsoNJu79cieH0wsJ9nbjyzsHEeztZu9q2ZxDBCtKKR588EF++uknVq9eTdu2be1dJSFEE7Rgwwl+iUvDSath3q39eGViD7xcndibUsDSijkY4vzS8svYeSoPjQauvsghYJWsKYxbQOrQb7YnsetUHp6uTrw0oTsajYah7YPo3zrAMndlnfSuiKbDmrK4ic5XqUl0oCdf3DGAd27qRYCnC/EZRUyct4mXfz9Eqd5o7+rVmlKKx5fsZWtiLt5uziy8Y0Ctk580dQ4RrMyYMYOvv/6ab775Bh8fHzIyMsjIyKCsrB7ZVIQQLcr6o1nM+dOSZ/75q7swpH0QIT5uPHBJBwBeXx5PucFkzyo2Ccv2W3pVBrQOJNyvbitXj+4cgkYDB1ILyShovj0LpwvLee3PeACeGNuZVv4eAGg0mn96V7YlkSm9K6IJMJrMbEts+vNVaqLRaJjYJ4qVM0dxXe9IzAoWbDzBFe+uZ8OxLHtXr1a+2nqKP/al4+Kk4ZOp/ejeys/eVWo0DhGsfPjhhxQUFDB69GgiIiKst8WLF9u7akKIJuBkdgkPfrMbs4LJ/aO4fWgb62t3DW9LK38P0grK+XTjCftVson4/SIXgqxJsLcbvaL8AZr1wmwvLD1Ikc5Iryi/KsccWFb+7tc6AJ3RzMfrE+1TQSEuwv7UAop0RnzdnZvtiXCQtxtzb+7D59MGEOnnTnJuGVM/3c7j3+8lr0Rv7+qd0+H0Ql7+w3Ix7tmrujC0Q/MKJi/EIYIVpVSNt2nTptm7akIIB1esM3LPlzspLDfSJ8af/1QMxank7uLEU+M6AzBvTQKZRXKV+1ySc0uJS85Hq4Fx3cPrta/KrGCrm2kK478PZvDngQyctBrmTOqJ01kpQzUaDY+MsfSufL31lBx3wuFVpiwe0j6o2vHc3FwSG8rfM0cxbWgbNBr4cXcKl7+zjt/2pqGUY81vLNObePjbPeiNZi6NDWXaWRdGWgKHCFaEEKIuzGbFY4vjOJZZTJivGx//qx9uztUnhY7vGUmvaH9K9CbeWXHUDjVtGv6oGAI2qG0QoT51GwJW6dIulmBl47HsZjf8rqjcwP/9ehCAe0a0o2tkzQleRnQMpk+MPzqjmU/WSe+KcGyV81WGtZCr9t5uzrxwbTd+mD6UjqHeZBfreejbPdz9xc76LerawP7zxyGOZRYT4uNWsX5M8w4kayLBihCiyZq76hgrDp3G1UnLR//qR6hvzSfYWq2G56/uAsDiHckcTpdFZGvy+76KhSDrMQSsUtcIX8J93SkzmNhaMQ6+uXjr76NkFJYTE+hp7T2pSZXelW2nar9A6eHDUFBgua8jpRQfrj3Ogg0SJIkL25eSz85TlhTvQ5vZfJUL6dc6gN8fHs6jl3XExUnDqvhMLn97PV9tOWn3LJLLD6TzzbYkNBp4Z3JvglpA5q+aSLAihGiSlh9IZ+6qYwD8d1IP+sScf02A/m0CubpHBGYFr/xx2OG6+u3tZHYJB1ILcdJqGNetfkPAwHKiXrma/ZpmNBRsd1IeX2w5CcArE7vj4Xr+9K6jOoXQO9qfcoOZT9bXMjOYjw/4+lru6+jb7cm8tjyel/84zG+SCU+cR3axjvu+2oXBpLi8axjtQ7zsXaVG5+bsxKOXdWLZwyPoG+NPsc7I878eZPLHW0jILLJLndLyy3j6x/0A3DeyPcM7tqwg8kwSrAghmpz4jEJmfr8XgDuGteGGfudfl6nS0+NicXXSsjEhm7VHmkYGmMZSOQRsaPugBrt6VzlvZVV8ZrMIDg0mM7N+3I9SMKlPK0Z0DLnge87MDPbV1lNkF9eyd6UeEjKLeOn3g9bnz/96QDKSiRoZTGZmLNpNekE57YK9eGtyrxY5zKhSxzAflkwfyovXdsPL1Ymdp/K4au5GPliT0Ki/YSaz4tHv4igoM9Aryo/Hx3ZqtM92RBKsCCGalPxSPfd+uYtSvYmh7YP491Vdav3emCBPpg1rA8Aryw5jbOIrGTekyqvv1/Ss/xCwSkM7BOHqrCUlr4xjmcUNtl97+WR9IkdOFxHg6cK/r679cTe6Uwi9ovwoN5iZb+PMYDqjiYe+jaPcYGZ4h2C6t/Ilv9TArJ/2N4uAUTSsV/44zLYTlnU7PrmtH77uLvaukt05aTXcPrQNf88cxSWdQ9CbLItJPv/rgUYbFvb+6gS2n8zFy9WJ96b0wcWpZZ+ut+xvL4RoUowmMw9+s4ek3FKiAz344Ja+OF/kj/iMSzoQ4OlCQmYx3+5ItlFNm5aEzGLiM4pw1mq4ogGGgFXydHVmaHvL4nJNPSvYiewS67DD56/pelG9T2f2rny55RQ5F+pdeftteOEFy/1Fen35EQ6nFxLo5crbk3vx1o29cXXSsio+kyW7Ui56f6L5+nFXCgs3nwTgrcm96BBa92GHzVErfw8+mzaAlyd0R6OBr7cmMeun/ZhsHLDsPJnL3FWWRDAvT+xO66CWNyzvbBKsCCGajDl/xrMxIRtPVyfm39afAC/Xi96Hn4cLj11u6VJ/Z8VRCssNDV3NJqdyYv2IjsH4e158m56PNYXx4aYbrCil+PfP+9EbLb0VE/u0uuh9XNI5lJ5RfpQZTHxyoUnvb78NL7540cHK2iOZ1rWE3rihJ6G+7nQO97EOIXnpt0Ok5JVedN1F87M/pYBnf7bMh3j40g4NepGiOdFoNPxrcGventwLrQYW70zmiSV7bdYrX1Bq4JHv4jArmNinFRP71G6Ic3MnwYoQokn4cVeK9UTsrRt7ERtec7rY2pgyMIb2IV7kluj5YE1CQ1WxyfqjciHInpENvu/KSfY7T+WSX+q4i66dz4+7U9l8PAc3Zy2vTOxepzH9Z2YG+2rLKXIbeAG6rCIdTyyxzOO6fUhrxnQJs75294h29GsdQLHOyFM/7LN7hiNhXznFOu77aic6o5kxsaE8elnLng9RGxP7RPG/KX1x1mr4eU8qj3wXh6GBAxalFM/+vJ/U/DJaB3ny0nXdGnT/TZkEK0IIhxeXnM+siquAD13agSt71G9ehYuT1jrn4PONJ0nObblXm49kFHEssxhXJy2Xdwu78BsuUlSAJ53DfDArWHe06SU1yCnW8fIfhwB49LJO9RqScWlsKD1a+VGqNzG/AVMKK6V48oe9ZBfr6Rzmw6yz5nE5aTW8dWMvPFyc2Hw8h6+2nmqwzxZNi8FkZsY3u0krKKdtsBdv39QbbTNfALKhXN0zgnm39sXFScMf+9O5/+vd6IwNt4bU4h3J/LE/HWethvdu7oOPzB+ykmBFCOHQMovKmf7VLvRGM5d1CeWxBroKeEnnUIZ3CEZvMvPa8vgG2WdTVDkEbGSnEJtNrr2kCa9m/5/fD5FfaiA23Ie7R7St1740Gg0PV/SufLn5ZIP1rizcfJK1R7Jwddby3pQ+uLtUT6fcJtiLWVfFAjDnz8OcyC5pkM8WTcucZfFsTbRM3P5kaj/8POSE+GKM7RbOJ7f1x9VZy8rDp7n3y10NsuhtQmYRL/5muSjyxBWd6RXtX+99NicSrAghHJbOaOL+r3eTUVhOh1Bv3mnAq4AajYZnr+qCRgO/70tn16m8BtlvU6KU4veKIWDjG2AhyHMZU7Ga/dojWU0qA9u6o1n8EpeGRgOvXt+zQTLyXNYllG6RvpToTQ2yYOPh9ELmLLME289d3YXO4eeeJP2vQa0Z1iGIcoOZx7+Ps/lEYeFYftqdwmebKobSTu5NxzCZUF8Xl3QO5fNpA/BwcWLd0SzuXLiDUr2xzvsrN1gy+JUZTAzvEMy9I9o1YG2bBwlWhBANwmAy8/ryeIa9uppJ8zbx9A/7WLAhkbVHMknNL7votKlKKWb/epBdp/LwdXdm/m39G7xbvGukL5P7RQOWK+gtLbXrwbRCTmSX4OasrTLHoaH1ifbH39OFgjIDe5LzbfY5DalUb+TfFUMPpw1tQ+8GutJ55tyVLzafJK8evStlehMPf7sHvcky92Dq4NbnLa/Vanj9hl74uDmzOymfT2ycRlk4jgOpBcz66Z+htOO6y4T6+hjWIZgv7hyIl6tlaOXtn22nqI7JWl5bHl8lg58My6vO2d4VEEI0facLy3nomz1sP5kLQGp+GbuT8quU8XJ1okOoNx1CfegY5k3HUG86hvoQFeBR44/z11tP8d2OZLQaeG9KH9oG2yZ94+NjO/HbvjTikvP5bV861/Zq+EnmjqpyIchLY0PxdrPdnwNnJy2jOoXwa1waqw5nMqBNoM0+q6HMXXmMlLwyIv3ceXxs5wbd9+Vdw+ga4cuh9EI+3XiCJ66o2/5fWXaIY5nFhPi48foNPWs18b+Vvwf/N74rT/6wj3dWHOWS2JB6JasQji+nYoV6ndHMJZ1DZEJ9AxnYNpCv7h7E7Z9tZ8fJPKZ+up0v7hx4UUPrVsef5vNNJwF480ZLBj9RnQQrQoh62XI8h4e+3UN2sQ5vN2f+b3xXPFycOJZZTEJmEcdOF3Miu4QSvYm9KQXsTSmo8n53Fy3tQyqClzAfOoR6YzQp6/jdp8fFMrpzqM3qH+rrzv2j2vPWiqO89mc8Y7uG1Tjmv7mxDAGzzFe5ugEXgjyXS2ND+TUujdXxp3nmylibf159HEgtYEFF5rmXruve4IFc5dyV6V/vYuHmk9w9ou1Fp4z++2AGX29NAuDtyb0uat2XG/pF8dfBDFYezuTx7/fy8wPDcHWWgRbNUeXaVKn5ZbQJ8uTdm/vgJFfuG0zfmAC+uXswUz/bRlxyPrfM38rXdw2qVVr9zMJynliyD4A7hrXh0ljb9W43dRKsCCHqxGxWfLT+OG/+dQSzgthwH+bd2pd2Id7VyhpMZk7llHDsdDHHMitup4tIzCqh3GDmYFohB9MKq73v2l6R3DvS9uN37x7Rjm+2J5GaX8Znm07wwOgONv9Me9uXUkBybhkeLk5cGmu7YLDSqE4hOGk1HD1dTHJuKdGBnjb/zLowmZV14bere0RwWVfbnECM7RpGlwhfDlf0rlxM701GQTlP/Wg5ybl3ZDtGdAy5qM/WaDT8d1IPdr6znoNphby/JoGZl8vV9uZozp/xbEnMsUyov62/TKi3gR5Rfnx7z2D+tWAbB9MKmTJ/K1/dNYgQn3NfQDCbFTO/30tuiZ4uEb4OfwHH3uRSihDiohWUGrj3q528vtwSqEzq24qfHxhWY6ACllTBHUJ9uLJHBA+P6cj/pvRh+aMjOfTSFax5YjSfTO3Hk1d0ZmKfVnRv5Yu7i5aBbQJ57fraDW2pLw9XJ56sGIozb81xsi+0wngzUNmrMqZLKJ6utr9u5e/pSr+YAADWHHHcrGALN59kf2oBPu7OzB7f1Wafo9VqeGSMJSheuOkkBaVnjHfv2xcGD7bcn8VykhNHfqmB7q18eaKOQ9RCfdx5eUJ3AD5Yk8DeJjKXSNTeL3tS/1mbanIvOsmEepvpEuHL4vsGE+rjRnxGETd/soXTheXnLP/JhkQ2JmTj7qLlf1N64+bc/Hvz60OCFSHERTmQWsA1729g5eFMXJ21zJnUw7KGg+vF/9g6O2lpG+zF2G7hzLikA+/c1JvfHxrB4ZfG8f30IXXaZ11N6N2KHq38KNYZeWfF0Ub7XHtQStl0IchzubQiK9gqB13NPiWvlLf+PgLArCu72Hz8+Niu4cSG+1CkM/JpRZYmAJYuhS1bLPdn+WRDIpuP5+Dh4sTcm/vUa/jWNT0jGd8rEpNZ8fiSvQ2SglU4hgOpBTxd0fs245L2jOtu+6GeLV2HUB++v28IkX7uHM8qYfLHW0jNL6tWbm9yPm/+ZfmdeWF8NzqEShB5IRKsCFFHLS1zlFKKb7cnMenDzSTnlhEd6MGP04cyZWBMg/d+NEZvytm0Wg3PVSwU+e32JI6eLmr0OjSW3Un5pBWU4+XqxOjOFzeEqD7GVAw325KYU69Un7aglOK5Xw5QqjcxsE0gNw+ItvlnarX/rLvy+cYTVXtXarAv5YyTnGu70v4cPZkX46VruxHi40ZCZrE1UBNNW26J3jqhfnTnEGZe3rAJIsS5tQn2YvF9Q4gO9OBUTimTP9pCUs4/iw4X64w8/N0ejGbFVT3CuakRfmeaA5mzIsQZzGZFbqmerCIdmUU6sipumUXl1m3ZFdtMSjG5fzQPjG7f7DN4lOlNPPfLAX7cnQJY1op468be+Hk2r/HPg9oFMa5bOMsPZvDKH4f54s6B9q6STVQOAbu8kZMJdAj1JirAg5S8MjYl5HC5jeaDnE9huYH0/HLS8stIKygjLb+M9PxyknJL2XkqD1cnLf+d1L3R0oeO6xZO5zAfjpwu4rNNJ3jsHHNHSnRGHv72n5Ocyf0b5iQnwMuVVyf14K4vdrJg4wku7xrOwLaOn61N1MwyoX43qflltA7yZO5NMqG+sUUHerL43iHcumAbJ7ItPSzf3DOIdiHe/N8vBziVU0orfw/mTGycYc7NgQQroskoKDOw+1QehopF5RRg6dyw9HAodeY2UCjrNsvr/5QrLDeQWXhGIFJseZxdrL+ohdIWbj7Jt9uT+Nfg1kwf1f68E+qaqsSsYh5YtJv4jCK0GsvqutNHtm+2ueCfuTKWVfGnWXc0i7VHMm2aicwezGbFsv2NPwQMLD1mY2JD+WLLKVbHn27wYEVnNJFRUE5qRQBiCUjKST8jKCnSnb9H59HLOzbqsIzK3pUZ3+zms00nuHN42xonQb+w9CAnc0qJ9HNv8JOcMV3CmNw/iu93pvDEkr38+cgIvGyYylrYzmvL49l8PAdPVyc+mdq/2V1Qaioi/T1YfO9gbl2wjWOZxUz+eCu3Dorhpz2paDUw9+bmd7HPluTXSDi8pJxSPtt0gu93JlOqb5wx1UFeroT4uFW9ebsR6utOiLfleWp+GXNXHmV3Uj6fbjzBom2nuG1IG+4d2Y7gi0gj6sj+3J/Okz/so1hnJNjblfem9GFo+2B7V8um2gR7cfuQNizYeIL/LjvM8A7BODfAyuWOYvvJXE4X6vBxd2ZEp8b/f3lpl7CKYCUTpVS9TrqVUmxKyOHTjYnsTy2sdWIEf08XIv08iPR3J8LPg0h/y+P2Id50b+VX5/rU1ZXdw+kU5s3R08Us3HSSR957HLKyICQEli7lt71pLNmVglYD797cxyYnOc9f05VNCTkk5Zby32WHeWVijwb/DGFbv8alMn+DZe7Tmzf2onO4zIWwp1Bfd767dzD/+nQ7h9MLmbvqGACPjOlE/yaw1pQj0ahmMvC+sLAQPz8/CgoK8PWVBa6ag12nclmw4QR/HcygsrOjdZAngV6uVJ7eaDQaNEDl+Y4GDRX/Vbxu2WZ9veK5t5szob5u1sDD8tidEB83grxdcanlyalSivXHsnlnxVHiKrLpeLg4cdvQ1tw3sj2Btci17ogMJjOv/hlvzSQzsE0g/7ulD2HNfLhbpYJSA6PeXEN+qYH/TuzBLYNi7F2leinVG1l5OJPf96ax9mgWeqOZG/pF8eaNvRq9LuUGE31eWkGZwcTvDw2vU3BgMiv+PJDOR+uOcyC1asprdxdtRSDiQYSfuzUQsTy3PG6M7GcX67e9aTz07R583Z2Jm38X2rRUaNWKlP1HuXLuBorKjTx8aQdmNvAClWfanJDNLQu2AfDFnQMZ1anx5jOJ+jmYVsD1H26m3GDmgdHteWqcpMJ1FPmleqZ+up39qQUMbBPIt/cOlqF5FWp77i7BinAoRpOZvw+dZv6GRPacsQL6qE4h3D2iLcM7BDvkGE+lFGuPZPHOyqPsq1j00MvViduHtuGeEe1qtUCUo8goKOfBb3az81QeYFnH4ckrOtc6gGsuPt90ghd/O0SwtytrnhiNj3vT6rIvN5hYeyST3/als+rwacoNZutrncN8mH9bf2KC7LPWyT1f7mTFodPMvLyTdYJ5bZQbTCzZlcL89Ykk5Vomrbq7aLl5QAyT+rYiKsCTAE8Xh/yNuBCTWTHu3fUcyyzmwKd34Z19GtWqFTf++3t2nsqjb4w/3983xOa9fC8sPcjCzScJ93Xnr8dGyrocTUBeiZ7x728kJa+MUZ1C+GzaADkZdjDFOiNr4jMZ3Tmkyf0tsSUJVkSTUqwz8v2OZD7bdIKUPEuqP1cnLRP7tOKuEW2bTH54pRSr4zN5Z+VR6xVfbzdn7hjWhruHt3P4MaqbE7J5+Ls9ZBfr8XFz5o0bezGue7i9q2UXBpOZK95ZT2J2CVf1CGd051CCvV0J9nYjyNuNIC9Xh1vpXmc0seFoNr/vS2PFodOUnDFssnWQJ9f0jOCanpHEhvvY9YT+u+1JPPPTfnpH+/PLjGEXLF9QauCrrSdZuPkk2cV6AAI8Xbh9aBtuG9KmyfZgnm3p3jQe/nYP2+ZNI6wom6LgMHrc9Snebs78+ciIRllIs0xv4qr3NnAiu4RJfVrx9k29bf6Zon7uWriDVfGZxAR68tuDwx3+74wQlWp77u54feECg8lMdrGOUr2JMr2JcoOJMoPlcZV7g4nyiselFfflVV43E+rjRu9of/rE+NMzyh9vB5s0mZZfxhebT/LN9iSKyi0TXwM8XZg6uDVTh7RpchPWNRoNY7qEcWlsKCsOnebdlcc4lF7I/1YnsHDTSe4Y3pa7zjGB1h6UUqQXlHP0dBFbjucwf0MiZmVZ4OrDW/vSJtjL3lW0GxcnLbOu6sI9X+5k2f4Mlu3PqFbGx82ZYB83gr1dCfJyI9in8t6NYC9Xgn0sQU2wjxs+bs42CRAMJjObj+fw+940lh/MsP47Amjl78HVPSMY3zOS7q18HabH4ZKKFMZ7U/LJKtKd8995Wn4Zn208wbfbk6yBVyt/D+4Z0ZbJA6IdcjhXfVzdI4K5K49irriGWFyRDOCVid0bJVABywKpb97Ykxs/2sJPe1IZ2y28xV6waCoeGtOREzklzLu1rwQqolmSnhU7KSg1kJRbesatxPo4Lb/8ojJS1ZZGA51Cfegd7U/vGH96R/vTKczHLt3F+1MKWLAxkT/2pWOs+K7tgr24a0Rbru8b5XBXrOvKbFb8feg07648SnyGZd0OH3dn7h7ejjuGt8G3kbqDlVJkF+s5errIejuSUcSx08XVsiPd2C+K/0zo3mz+H9SHUoqvt54iLrmA7GIdOSU6sov05JToMJgu7t+oq7PWOkfqzKQNNT2/UNubzIptiTn8ti+d5QfSyTtjfY5QHzeuruhB6RPt77BZ26753wYOpBbyxg09ufGsNLzHThfx0bpEfo1Ltf4+xIb7MH1Ue67uGdGshyT+GpfKwBG9iCjOId07iDcWrLRL78arf8bz0brjBHm58vdjIwmqQ9IQk1lRUGYgv1RPXqmBYp1R5sHYiMmsZOiXaHKa5DCwefPm8cYbb5Cenk63bt149913GTFiRK3e62jBitFkJr3Akrv/VI4lCEmuCEZO5ZRQWH7+9JnOWg2erk54uDrh6eqMu4sTHi5aPFyd8HBxwt3FyfK6ixPuFfceLk7W1z1cnXB10nIqp5S45HzikvNrXEnV09WJnlF+9I4OsPbA2GoStdmsWBWfyYINiWw7kWvdPrhdIPeMaMclnUMd9sSqvsxmxfKDGby78ihHTxcD4Ofhwt3D2zK+VyQerpb/p+4uWlydtPW6Ap5fqudIRhFHM4s5mvFPcJJ3jgXnnLQa2gZ70TnMhyu6h3Ntr8ZNZ9sUKaUoLDOSXWJZdyenRE92sSX1dXaxjpwqj/XWK+S15ePubEn84ONGiM8/GeiCvF05mFrAsgMZZBX9k/kqyMuVK3uEc03PSAa0CWwSJy1v/32E91YncFWPcObd2g+AHSdz+XjdcVaescL94HaBTB/VnlGdQhymZ8iWTGZFbmAoIQXZZPoG43E6zS5j3HVGE9f+bxNHThcxrls4b9zYk/xSA/mlBvJK9eSV6qs8zy/Vk19mIK/UEpzklxooLDdw5hmGRgPHX7mq2f7OCyEuTpMLVhYvXszUqVOZN28ew4YN4+OPP2bBggUcOnSImJgLZ+JxhGDlcHohr/xxmKTcUlLzyy7YOxLi40ZMoGfVW5DlPsTbrcF/0DMLy9lTEbjEJeWzLyW/ypj2ShF+7pbel2h/+sQEWNIfKtCbzOhNZgxGMwaTGV3Fvd5oxmBS6E0m9EZVpYy+4vUSnYlf41JJzC4BLMHYNT0juHtEO7ukCrUXs1mx7EA6c1ce41hmcY1lNBpwd7YELpWBqVtFIOPu7FQR2Fgeu1UEqWalSMgs5sjpoionsWfvt3WgJ53CfCy3cB86hXnTNtgLN2fpRbGlcoOpYh0fXdUFR4v/WXi08rneaL7wDrEEu+O6hTO+VySD2wU2ufTKccn5TPhgE95uzrx5Yy/mb0hkV0VSB40GrugazvTR7ekd7W/fitqBPiIS14x0DOGRuKSn2q0eB1ILmPDBJmvvVl35uDnj5+lCgKcr3907WNZwEUIATTBYGTRoEH379uXDDz+0buvSpQsTJkxgzpw5F3y/IwQrR08XMfad9dbnrs5aogM8zghEvKyPowM97D7e2mS2nODGJecRl5zPnqR8jp4uwgYj0Kx83J25ZVAM04a2IcLPw3Yf5OBMZsXv+9L4aF0ip3JKKDeYGrTdW/l70CnM2xKQhPrQOdyH9iHeeLhKUOLIlFIUlhvJKir/J6A5K6gJ83Xn6h4RDOsQjKtz0wpQzmQ2Kwb+d6V1wjxYkmpc368Vd49oR/sQbzvWzs6ioiDVkrqYlBS7VuWjdcd59c94ANyctQR4uuLv6YJ/RfDhX/E8wNPF8tjDhQAvVwI8XfDzsLzWnIftCSHqrkkFK3q9Hk9PT5YsWcLEiROt2x955BHi4uJYt25dtffodDp0un+uIBcUFBATE0NycrLdgpVyg4k/96cTHeBJVKAHoT7uTa67u0Rn5FBaIftSLT0v+1MKyCz652TCxVmLq5MGVyctLk4aXJy1uDhpK57/89jZWWMt51yxrWukL9f2buVwk/wdgVIKg0lRbjSh05soN5rRGS0JE8oNZsqNZsoNJnQGEzqDGZ3JkkhBZ7C8x4yiTaAnHUK9aR/qI20smoSXfz/EdzuS8XZzYvKAGKYOiiGkhazlc16xsZCeDhEREB9v79qQX6qvGKYqFzuEEA2nsLCQ6Oho8vPz8fM79ygbhzijyc7OxmQyERYWVmV7WFgYGRnVM/AAzJkzhxdffLHa9ujo6BpKC0dxv70rIIRwSC9W3MQZ0tPhPH/AhRCiOSgqKnL8YKXS2ZMnlVLnnFA5a9YsZs6caX1uNpvJzc0lKCioTpMwK6M7e/bMNGfSvrYjbWtb0r62I21rW9K+tiXtazvStrblKO2rlKKoqIjIyPMn9nGIYCU4OBgnJ6dqvSiZmZnVelsqubm54eZWNZWiv79/vevi6+sr/zBsSNrXdqRtbUva13akbW1L2te2pH1tR9rWthyhfc/Xo1LJIWa9ubq60q9fP1asWFFl+4oVKxg6dKidaiWEEEIIIYSwJ4foWQGYOXMmU6dOpX///gwZMoRPPvmEpKQkpk+fbu+qCSGEEEIIIezAYYKVm266iZycHF566SXS09Pp3r07y5Yto3Xr1o3y+W5ubsyePbva0DLRMKR9bUfa1rakfW1H2ta2pH1tS9rXdqRtbaupta9DpC4WQgghhBBCiLM5xJwVIYQQQgghhDibBCtCCCGEEEIIhyTBihBCCCGEEMIhSbAihBBCCCGEcEgSrAghhBBCCCEcUrMKVtavX8/48eOJjIxEo9Hwyy+/VHn99OnTTJs2jcjISDw9PRk3bhzHjh2rUiYjI4OpU6cSHh6Ol5cXffv25YcffqhSJi8vj6lTp+Ln54efnx9Tp04lPz/fxt/O/hqrfdu0aYNGo6lye+aZZ2z99eyqIdr2+PHjTJw4kZCQEHx9fZk8eTKnT5+uUkaOXdu2b0s8dufMmcOAAQPw8fEhNDSUCRMmcOTIkSpllFK88MILREZG4uHhwejRozl48GCVMjqdjoceeojg4GC8vLy49tprSUlJqVKmpR2/jdm2cuzWvX0/+eQTRo8eja+vLxqNpsZjUo5d27WtHLt1a9/c3FweeughOnfujKenJzExMTz88MMUFBRU2Y8jHLvNKlgpKSmhV69evP/++9VeU0oxYcIEEhMT+fXXX9mzZw+tW7fmsssuo6SkxFpu6tSpHDlyhKVLl7J//34mTZrETTfdxJ49e6xlbrnlFuLi4li+fDnLly8nLi6OqVOnNsp3tKfGal/Aut5O5e25556z+fezp/q2bUlJCWPHjkWj0bB69Wo2bdqEXq9n/PjxmM1m677k2LVt+0LLO3bXrVvHjBkz2Lp1KytWrMBoNDJ27Ngq/+5ff/113n77bd5//3127NhBeHg4l19+OUVFRdYyjz76KD///DPfffcdGzdupLi4mGuuuQaTyWQt09KO38ZsW5Bjt67tW1payrhx43j22WfP+Vly7NqubUGO3bq0b1paGmlpabz55pvs37+fhQsXsnz5cu66664qn+UQx65qpgD1888/W58fOXJEAerAgQPWbUajUQUGBqr58+dbt3l5eakvv/yyyr4CAwPVggULlFJKHTp0SAFq69at1te3bNmiABUfH2+jb+N4bNW+SinVunVr9c4779is7o6uLm37119/Ka1WqwoKCqxlcnNzFaBWrFihlJJjt5Kt2lcpOXaVUiozM1MBat26dUoppcxmswoPD1evvvqqtUx5ebny8/NTH330kVJKqfz8fOXi4qK+++47a5nU1FSl1WrV8uXLlVJy/Cplu7ZVSo5dperWvmdas2aNAlReXl6V7XLs2q5tlZJjV6n6t2+l77//Xrm6uiqDwaCUcpxjt1n1rJyPTqcDwN3d3brNyckJV1dXNm7caN02fPhwFi9eTG5uLmazme+++w6dTsfo0aMB2LJlC35+fgwaNMj6nsGDB+Pn58fmzZsb58s4oIZq30qvvfYaQUFB9O7dm1deeQW9Xt8o38MR1aZtdTodGo2mymq07u7uaLVaaxk5dmvWUO1bqaUfu5VDCAIDAwE4ceIEGRkZjB071lrGzc2NUaNGWY+7Xbt2YTAYqpSJjIyke/fu1jJy/NqubSvJsXvx7Vsbcuzarm0rybHbMO1bUFCAr68vzs7OgOMcuy0mWImNjaV169bMmjWLvLw89Ho9r776KhkZGaSnp1vLLV68GKPRSFBQEG5ubtx33338/PPPtG/fHrDMuQgNDa22/9DQUDIyMhrt+ziahmpfgEceeYTvvvuONWvW8OCDD/Luu+/ywAMP2ONrOYTatO3gwYPx8vLi6aefprS0lJKSEp588knMZrO1jBy7NWuo9gU5dpVSzJw5k+HDh9O9e3cA67EVFhZWpWxYWJj1tYyMDFxdXQkICDhvmZZ8/NqybUGO3bq2b23IsWu7tgU5dhuqfXNycvjPf/7DfffdZ93mKMeuc6N9kp25uLjw448/ctdddxEYGIiTkxOXXXYZV155ZZVyzz33HHl5eaxcuZLg4GB++eUXbrzxRjZs2ECPHj0A0Gg01favlKpxe0vRkO372GOPWcv37NmTgIAAbrjhBuuVk5amNm0bEhLCkiVLuP/++3nvvffQarVMmTKFvn374uTkZC0nx251Ddm+Lf3YffDBB9m3b1+13iaofuzV5rg7u0xLPn5t3bZy7DZs+15oH3XdT1Nk67aVY7f+7VtYWMjVV19N165dmT179nn3cb792EqLCVYA+vXrR1xcHAUFBej1ekJCQhg0aBD9+/cHLNl+3n//fQ4cOEC3bt0A6NWrFxs2bOCDDz7go48+Ijw8vFoGIICsrKxqEWxL0xDtW5PBgwcDkJCQ0CJ+eGpyobYFGDt2LMePHyc7OxtnZ2f8/f0JDw+nbdu2AHLsnkdDtG9NWtKx+9BDD7F06VLWr19PVFSUdXt4eDhguUIXERFh3Z6ZmWk97sLDw9Hr9eTl5VXpAcjMzGTo0KHWMi31+LV129ZEjt3atW9tyLFru7atiRy7F9e+RUVFjBs3Dm9vb37++WdcXFyq7McRjt0WMwzsTH5+foSEhHDs2DF27tzJddddB1iyTgBotVWbxcnJyZrxZ8iQIRQUFLB9+3br69u2baOgoOC8P/wtSX3atyaVmcLO/AfXUp2rbc8UHByMv78/q1evJjMzk2uvvRaQY7c26tO+NWkJx65SigcffJCffvqJ1atXVwve2rZtS3h4OCtWrLBu0+v1rFu3znrc9evXDxcXlypl0tPTOXDggLVMSzx+G6ttayLHbu3atzbk2LVd29ZEjt3at29hYSFjx47F1dWVpUuXVpm7CQ507DbaVP5GUFRUpPbs2aP27NmjAPX222+rPXv2qFOnTimlLFkO1qxZo44fP65++eUX1bp1azVp0iTr+/V6verQoYMaMWKE2rZtm0pISFBvvvmm0mg06o8//rCWGzdunOrZs6fasmWL2rJli+rRo4e65pprGv37NrbGaN/Nmzdb95uYmKgWL16sIiMj1bXXXmuX79xY6tu2Sin12WefqS1btqiEhAT11VdfqcDAQDVz5swqZeTYtV37ttRj9/7771d+fn5q7dq1Kj093XorLS21lnn11VeVn5+f+umnn9T+/fvVlClTVEREhCosLLSWmT59uoqKilIrV65Uu3fvVpdeeqnq1auXMhqN1jIt7fhtrLaVY7d+7Zuenq727Nmj5s+frwC1fv16tWfPHpWTk2MtI8eubdpWjt26t29hYaEaNGiQ6tGjh0pISKiyH0f73W1WwUplaruzb7fffrtSSqm5c+eqqKgo5eLiomJiYtRzzz2ndDpdlX0cPXpUTZo0SYWGhipPT0/Vs2fPaql2c3Jy1K233qp8fHyUj4+PuvXWW2tMp9fcNEb77tq1Sw0aNEj5+fkpd3d31blzZzV79mxVUlLSmF+10TVE2z799NMqLCxMubi4qI4dO6q33npLmc3mKmXk2LVd+7bUY7emdgXU559/bi1jNpvV7NmzVXh4uHJzc1MjR45U+/fvr7KfsrIy9eCDD6rAwEDl4eGhrrnmGpWUlFSlTEs7fhurbeXYrV/7zp49+4L7kWPXNm0rx27d2/dcfxcBdeLECWs5Rzh2NUopVfd+GSGEEEIIIYSwjRY5Z0UIIYQQQgjh+CRYEUIIIYQQQjgkCVaEEEIIIYQQDkmCFSGEEEIIIYRDkmBFCCGEEEII4ZAkWBFCCCGEEEI4JAlWhBBCCCGEEA5JghUhhBBCCCGEQ5JgRQghhBBCCOGQJFgRQgghhBBCOCQJVoQQQgghhBAO6f8Bgf4zLlLAW6MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x1000 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ma = qobs.groupby(pd.Grouper(freq=\"YE\")).mean()\n",
    "yc = flw_dam.set_index(\"usgs_id\").yearCompleted\n",
    "fig, axs = plt.subplots(\n",
    "    nrows=ma.shape[1], figsize=(8, 10), sharex=True, constrained_layout=True, dpi=100\n",
    ")\n",
    "\n",
    "for i, s in enumerate(ma):\n",
    "    (line1,) = axs[i].plot(ma[s], label=\"Mean annual flow (cms)\")\n",
    "    axs[i].set_ylim(0, ma[s].quantile(0.95) * 1.7)\n",
    "    axs[i].set_title(s)\n",
    "    yrs = yc.loc[s.replace(\"USGS-\", \"\")]\n",
    "    yrs = [yrs] if np.isscalar(yrs) else yrs\n",
    "    for yr in yrs:\n",
    "        line2 = axs[i].axvline(\n",
    "            pd.to_datetime(yr, format=\"%Y\"),\n",
    "            color=\"r\",\n",
    "            linestyle=\"--\",\n",
    "            linewidth=2,\n",
    "            label=\"Dam Year Completed\",\n",
    "        )\n",
    "_ = axs[0].legend(handles=[line1, line2], loc=\"best\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can see that based on the available data and visual inspection, the first station shows a noticeable difference before and after the dam construction. Next we take a closer look at this station, `USGS-07312200`."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Land Use/Land Cover (LULC)\n",
    "\n",
    "To gain a better understanding of the land features around and near the `USGS-07312200` station and its dams, we use the LULC data. For this purpose, first, we obtain the local catchments up to 30 km upstream and downstream of the station. The WaterData web service has several layers one of which is local catchments. Let's use the COMIDs to obtain their corresponding catchments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "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>geometry</th>\n",
       "      <th>gridcode</th>\n",
       "      <th>featureid</th>\n",
       "      <th>sourcefc</th>\n",
       "      <th>areasqkm</th>\n",
       "      <th>shape_length</th>\n",
       "      <th>shape_area</th>\n",
       "      <th>direction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MULTIPOLYGON (((-98.95702 34.00904, -98.95757 ...</td>\n",
       "      <td>1347768</td>\n",
       "      <td>13728581</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>3.667051</td>\n",
       "      <td>0.082690</td>\n",
       "      <td>3.579443e-04</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MULTIPOLYGON (((-98.95302 34.00727, -98.95292 ...</td>\n",
       "      <td>1347933</td>\n",
       "      <td>13728583</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.005346</td>\n",
       "      <td>0.003188</td>\n",
       "      <td>5.217419e-07</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MULTIPOLYGON (((-98.95483 34.00319, -98.95537 ...</td>\n",
       "      <td>1348044</td>\n",
       "      <td>13728585</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.150286</td>\n",
       "      <td>0.018680</td>\n",
       "      <td>1.466643e-05</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MULTIPOLYGON (((-98.94654 34.00018, -98.94817 ...</td>\n",
       "      <td>1347921</td>\n",
       "      <td>13728587</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.010543</td>\n",
       "      <td>0.004362</td>\n",
       "      <td>1.028886e-06</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MULTIPOLYGON (((-98.94831 34.0039, -98.94784 3...</td>\n",
       "      <td>1347981</td>\n",
       "      <td>13728589</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.142392</td>\n",
       "      <td>0.027063</td>\n",
       "      <td>1.389548e-05</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            geometry  gridcode  featureid  \\\n",
       "0  MULTIPOLYGON (((-98.95702 34.00904, -98.95757 ...   1347768   13728581   \n",
       "1  MULTIPOLYGON (((-98.95302 34.00727, -98.95292 ...   1347933   13728583   \n",
       "2  MULTIPOLYGON (((-98.95483 34.00319, -98.95537 ...   1348044   13728585   \n",
       "3  MULTIPOLYGON (((-98.94654 34.00018, -98.94817 ...   1347921   13728587   \n",
       "4  MULTIPOLYGON (((-98.94831 34.0039, -98.94784 3...   1347981   13728589   \n",
       "\n",
       "      sourcefc  areasqkm  shape_length    shape_area direction  \n",
       "0  NHDFlowline  3.667051      0.082690  3.579443e-04  upstream  \n",
       "1  NHDFlowline  0.005346      0.003188  5.217419e-07  upstream  \n",
       "2  NHDFlowline  0.150286      0.018680  1.466643e-05  upstream  \n",
       "3  NHDFlowline  0.010543      0.004362  1.028886e-06  upstream  \n",
       "4  NHDFlowline  0.142392      0.027063  1.389548e-05  upstream  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_id = \"07312200\"\n",
    "flw_ut = nldi.navigate_byid(\n",
    "    fsource=\"nwissite\",\n",
    "    fid=f\"USGS-{station_id}\",\n",
    "    navigation=\"upstreamTributaries\",\n",
    "    source=\"flowlines\",\n",
    "    distance=30,\n",
    ")\n",
    "flw_dd = nldi.navigate_byid(\n",
    "    fsource=\"nwissite\",\n",
    "    fid=f\"USGS-{station_id}\",\n",
    "    navigation=\"downstreamDiversions\",\n",
    "    source=\"flowlines\",\n",
    "    distance=30,\n",
    ")\n",
    "flowlines = gpd.GeoDataFrame(pd.concat([flw_ut, flw_dd]), crs=4326)\n",
    "wd = WaterData(\"catchmentsp\")\n",
    "catchment = wd.byid(\"featureid\", flowlines.nhdplus_comid.to_list())\n",
    "flw_dd[\"nhdplus_comid\"] = flw_dd.nhdplus_comid.astype(catchment.featureid.dtype)\n",
    "catchment[\"direction\"] = \"upstream\"\n",
    "catchment.loc[catchment.featureid.isin(flw_dd.nhdplus_comid), \"direction\"] = \"downstream\"\n",
    "catchment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "catchment.plot(ax=ax, column=\"direction\", edgecolor=\"k\", lw=0.5)\n",
    "flowlines.plot(ax=ax, color=\"b\", linewidth=1.5, zorder=1)\n",
    "sites[sites.site_no.isin([station_id])].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"r\", marker=\"*\", markersize=150, label=\"Station\"\n",
    ")\n",
    "dams[dams.nhdplus_comid.isin(flowlines.nhdplus_comid)].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"m\", marker=\"^\", markersize=50, label=\"Dam\"\n",
    ")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, we can retrieve the LULC data at 30-m resolution within the union of these catchments using the Multi-Resolution Land Characteristics (MRLC) Consortium web service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
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       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 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: 1MB\n",
       "Dimensions:      (x: 1258, y: 804)\n",
       "Coordinates:\n",
       "  * x            (x) float64 10kB -99.12 -99.12 -99.12 ... -98.71 -98.71 -98.71\n",
       "  * y            (y) float64 6kB 34.04 34.04 34.04 34.04 ... 33.82 33.82 33.82\n",
       "    spatial_ref  int64 8B 0\n",
       "Data variables:\n",
       "    cover_2019   (y, x) uint8 1MB 127 127 127 127 127 ... 127 127 127 127 127\n",
       "Attributes:\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    AREA_OR_POINT:           Area\n",
       "    scale_factor:            1.0\n",
       "    add_offset:              0.0\n",
       "    _FillValue:              255\n",
       "    nodatavals:              (255,)</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-97cea6ed-484a-4b6f-b108-023d7eb0b18e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97cea6ed-484a-4b6f-b108-023d7eb0b18e' 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'>x</span>: 1258</li><li><span class='xr-has-index'>y</span>: 804</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fcb900fc-4fd7-4a9b-8b41-9315f227f7a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fcb900fc-4fd7-4a9b-8b41-9315f227f7a0' class='xr-section-summary' >Coordinates: <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 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'>-99.12 -99.12 ... -98.71 -98.71</div><input id='attrs-d087e6ce-5f8a-4518-9010-b5ffcd0e2aac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d087e6ce-5f8a-4518-9010-b5ffcd0e2aac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b25deb3a-4770-4400-ac61-556a2b5d4f32' class='xr-var-data-in' type='checkbox'><label for='data-b25deb3a-4770-4400-ac61-556a2b5d4f32' 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>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-99.119952, -99.119628, -99.119304, ..., -98.71327 , -98.712946,\n",
       "       -98.712622])</pre></div></li><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'>34.04 34.04 34.04 ... 33.82 33.82</div><input id='attrs-e6eabaab-3aaf-40e0-b336-c4f7ab616733' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6eabaab-3aaf-40e0-b336-c4f7ab616733' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71c24220-e46b-4a19-a8a5-b8d1acf37b95' class='xr-var-data-in' type='checkbox'><label for='data-71c24220-e46b-4a19-a8a5-b8d1acf37b95' 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>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([34.039062, 34.038791, 34.038521, ..., 33.822522, 33.822252, 33.821981])</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-b00a775d-89ae-4fee-ab97-22ff9897c900' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b00a775d-89ae-4fee-ab97-22ff9897c900' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec7d69d3-a31d-4810-95a4-db0eb1313d05' class='xr-var-data-in' type='checkbox'><label for='data-ec7d69d3-a31d-4810-95a4-db0eb1313d05' 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>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;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>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;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-99.120114 0.000324049284578708 0.0 34.039197 0.0 -0.0002703370646766173</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-09eee6d1-2526-42da-bebc-62e29821d9a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09eee6d1-2526-42da-bebc-62e29821d9a1' class='xr-section-summary' >Data variables: <span>(1)</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>cover_2019</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>127 127 127 127 ... 127 127 127 127</div><input id='attrs-e61d02f0-bd86-4e64-bf92-c3a413bb57c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e61d02f0-bd86-4e64-bf92-c3a413bb57c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793ac16b-8f35-4605-8559-dacdf3058e2c' class='xr-var-data-in' type='checkbox'><label for='data-793ac16b-8f35-4605-8559-dacdf3058e2c' 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>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>127</dd><dt><span>nodatavals :</span></dt><dd>(127,)</dd><dt><span>units :</span></dt><dd>classes</dd></dl></div><div class='xr-var-data'><pre>array([[127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       ...,\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127]], dtype=uint8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fbc47b1-0c67-4ebb-b76a-de2b38a4c5ec' class='xr-section-summary-in' type='checkbox'  ><label for='section-0fbc47b1-0c67-4ebb-b76a-de2b38a4c5ec' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-498efa6a-5380-4ef0-8e31-4b2a1c78787d' class='xr-index-data-in' type='checkbox'/><label for='index-498efa6a-5380-4ef0-8e31-4b2a1c78787d' 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([-99.11995197535771, -99.11962792607314, -99.11930387678855,\n",
       "       -99.11897982750398, -99.11865577821939, -99.11833172893482,\n",
       "       -99.11800767965023, -99.11768363036566, -99.11735958108108,\n",
       "        -99.1170355317965,\n",
       "       ...\n",
       "       -98.71553846820349,  -98.7152144189189, -98.71489036963433,\n",
       "       -98.71456632034975, -98.71424227106517, -98.71391822178059,\n",
       "       -98.71359417249602, -98.71327012321143, -98.71294607392686,\n",
       "       -98.71262202464227],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1258))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-05493fe7-c7b6-4e6a-afc3-a115fde0f7cb' class='xr-index-data-in' type='checkbox'/><label for='index-05493fe7-c7b6-4e6a-afc3-a115fde0f7cb' 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([ 34.03906183146766, 34.038791494402986,  34.03852115733831,\n",
       "        34.03825082027363, 34.037980483208955,  34.03771014614428,\n",
       "         34.0374398090796, 34.037169472014924,  34.03689913495025,\n",
       "        34.03662879788558,\n",
       "       ...\n",
       "       33.824414202114426,  33.82414386504975,  33.82387352798508,\n",
       "         33.8236031909204, 33.823332853855725,  33.82306251679105,\n",
       "        33.82279217972637,  33.82252184266169, 33.822251505597016,\n",
       "        33.82198116853234],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=804))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-365b5cab-70c6-4bfd-b021-0f479445dc1c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-365b5cab-70c6-4bfd-b021-0f479445dc1c' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>255</dd><dt><span>nodatavals :</span></dt><dd>(255,)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 1MB\n",
       "Dimensions:      (x: 1258, y: 804)\n",
       "Coordinates:\n",
       "  * x            (x) float64 10kB -99.12 -99.12 -99.12 ... -98.71 -98.71 -98.71\n",
       "  * y            (y) float64 6kB 34.04 34.04 34.04 34.04 ... 33.82 33.82 33.82\n",
       "    spatial_ref  int64 8B 0\n",
       "Data variables:\n",
       "    cover_2019   (y, x) uint8 1MB 127 127 127 127 127 ... 127 127 127 127 127\n",
       "Attributes:\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    AREA_OR_POINT:           Area\n",
       "    scale_factor:            1.0\n",
       "    add_offset:              0.0\n",
       "    _FillValue:              255\n",
       "    nodatavals:              (255,)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geom = gpd.GeoSeries([catchment.union_all()], crs=catchment.crs, index=[station_id])\n",
    "nlcd = gh.nlcd_bygeom(geom, 30, years={\"cover\": 2019})[station_id]\n",
    "nlcd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11     Open Water - All areas of open water, generall...\n",
       "12     Perennial Ice/Snow - All areas characterized b...\n",
       "21     Developed, Open Space - Includes areas with a ...\n",
       "22     Developed, Low Intensity -Includes areas with ...\n",
       "23     Developed, Medium Intensity - Includes areas w...\n",
       "24     Developed, High Intensity - Includes highly de...\n",
       "31     Barren Land (Rock/Sand/Clay) - Barren areas of...\n",
       "41     Deciduous Forest - Areas dominated by trees ge...\n",
       "42     Evergreen Forest - Areas dominated by trees ge...\n",
       "43     Mixed Forest - Areas dominated by trees genera...\n",
       "45     Shrub-Forest - Areas identified as currently s...\n",
       "46     Herbaceous-Forest - Areas identified as curren...\n",
       "51     Dwarf Scrub - Alaska only areas dominated by s...\n",
       "52     Shrub/Scrub - Areas dominated by shrubs; less ...\n",
       "71     Grassland/Herbaceous - Areas dominated by gram...\n",
       "72     Sedge/Herbaceous - Alaska only areas dominated...\n",
       "73     Lichens - Alaska only areas dominated by fruti...\n",
       "74     Moss - Alaska only areas dominated by mosses, ...\n",
       "81     Pasture/Hay - Areas of grasses, legumes, or gr...\n",
       "82     Cultivated Crops - Areas used for the producti...\n",
       "90     Woody Wetlands - Areas where forest or shrub l...\n",
       "95     Emergent Herbaceous Wetlands - Areas where per...\n",
       "127                                     Background value\n",
       "dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta = gh.helpers.nlcd_helper()\n",
    "pd.Series(meta[\"classes\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap, norm, levels = gh.plot.cover_legends()\n",
    "fig, ax = plt.subplots(figsize=(8, 4), dpi=100)\n",
    "cover = nlcd.cover_2019.where(nlcd.cover_2019 != nlcd.cover_2019.rio.nodata)\n",
    "cover.plot(ax=ax, cmap=cmap, levels=levels, cbar_kwargs={\"ticks\": levels[:-1]})\n",
    "ax.set_xlabel(\"\")\n",
    "ax.set_ylabel(\"\")\n",
    "ax.set_title(\"Land Use/Land Cover 2019\")\n",
    "dams[dams.nhdplus_comid.isin(flw_up[station_id].nhdplus_comid)].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"m\", marker=\"^\", markersize=50, label=\"Dam\"\n",
    ")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()\n",
    "\n",
    "fig.savefig(Path(\"_static\", \"dam_impact.png\"), bbox_inches=\"tight\", facecolor=\"w\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's take a look at the differences in land cover types, upstream and downstream of the station. We use `cover_statistics` function of [PyGeoHydro](https://github.com/hyriver/pygeohydro) to get the statistics for each land cover types. For this purpose, first we need to mask the NLCD dataset based on the `direction` attribute of the `catchment` geo-dataframe using `xarray_geomask` function from [PyGeoUtils](https://github.com/hyriver/pygeoutils)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "ut_geom = catchment[catchment.direction == \"upstream\"].union_all()\n",
    "ut_cover = gh.cover_statistics(geoutils.xarray_geomask(nlcd.cover_2019, ut_geom, catchment.crs))\n",
    "\n",
    "dd_geom = catchment[catchment.direction == \"downstream\"].union_all()\n",
    "dd_cover = gh.cover_statistics(geoutils.xarray_geomask(nlcd.cover_2019, dd_geom, catchment.crs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "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>Upstream</th>\n",
       "      <th>Downstream</th>\n",
       "      <th>Upstream - Downstream</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Water</th>\n",
       "      <td>1.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Developed</th>\n",
       "      <td>1.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>-2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barren</th>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest</th>\n",
       "      <td>0.7</td>\n",
       "      <td>6.8</td>\n",
       "      <td>-6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shrubland</th>\n",
       "      <td>29.0</td>\n",
       "      <td>13.4</td>\n",
       "      <td>15.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Herbaceous</th>\n",
       "      <td>62.5</td>\n",
       "      <td>50.6</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Planted/Cultivated</th>\n",
       "      <td>3.6</td>\n",
       "      <td>24.6</td>\n",
       "      <td>-20.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wetlands</th>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>-0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Upstream  Downstream  Upstream - Downstream\n",
       "Water                    1.1         0.4                    0.7\n",
       "Developed                1.4         3.6                   -2.2\n",
       "Barren                   1.6         0.4                    1.2\n",
       "Forest                   0.7         6.8                   -6.1\n",
       "Shrubland               29.0        13.4                   15.6\n",
       "Herbaceous              62.5        50.6                   11.9\n",
       "Planted/Cultivated       3.6        24.6                  -20.9\n",
       "Wetlands                 0.1         0.3                   -0.2"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats = pd.DataFrame([ut_cover.categories, dd_cover.categories]).T\n",
    "stats.columns = [\"Upstream\", \"Downstream\"]\n",
    "stats[\"Upstream - Downstream\"] = stats.Upstream - stats.Downstream\n",
    "stats.round(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notably we see that the upstream area has significantly more grassland than downstream, while the downstream catchments have significantly more cropland. The implication is that these dams were constructed to support the transition of grassland to agricultural land."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Final Remarks\n",
    "\n",
    "This tutorial demonstrated the application of various web services for obtaining hydrolinked geospatial data using only web services. These web services are powerful tools that make big geospatial data more equitable and the rich ecosystem of tools that are available in R and Python facilitate accessing them."
   ]
  }
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