{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial\n",
    "\n",
    "### Working with `Opendata`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "from IPython.display import display, HTML\n",
    "from numpy import ceil\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Opendata gives you access to useful public datasets. It further implements automatic caching, which temporarely stores the dataset, making it readily available when loaded again. \n",
    "\n",
    "To import the library `faculty_extras.opendata`, run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from faculty_extras import opendata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can then view the datasets that are available in `faculty_extras.opendata` by means of `opendata.ls()`. This command accepts the optional argument `prefix`, which can be used to focus on a specific dataset. For instance, we will next analyse the census of the United Kingdom, provided in `faculty_extras.opendata`. To list the files that pertain to the UK census, we write:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['uk_2011_census/census_by_outputarea.csv',\n",
       " 'uk_2011_census/census_variable_info.csv',\n",
       " 'uk_2011_census/outputarea_localauthority_mapping.csv',\n",
       " 'uk_2011_census/outputarea_lsoa_msoa_mapping.csv',\n",
       " 'uk_2011_census/outputarea_parliamentaryconstituency_mapping.csv',\n",
       " 'uk_2011_census/postcode_outputarea_mapping.csv',\n",
       " 'uk_2011_census/ukpostcodes.csv']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opendata.ls(prefix=\"uk_2011_census/\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The caching functionality of `faculty_extras.opendata` makes repeated loading of a dataset considerably faster. For example, the first time we \"read in\" the UK census, the process takes about 5 seconds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 5.321612354573562 seconds\n"
     ]
    }
   ],
   "source": [
    "# Measure dataset load time without cache\n",
    "start = time.time()\n",
    "census = opendata.load(\"uk_2011_census/census_by_outputarea.csv\")\n",
    "finish = time.time()\n",
    "print(\"Time elapsed: {} seconds\".format(finish - start))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By contrast, the second time the same dataset is loaded, the process takes only 0.2 seconds. The improvement in speed is achieved by temporarely saving the data into memory, so that any subsequent retrieval becomes straightforward. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time elapsed: 0.21984278934579285 seconds\n"
     ]
    }
   ],
   "source": [
    "# Measure dataset load time with cache\n",
    "start = time.time()\n",
    "census = opendata.load(\"uk_2011_census/census_by_outputarea.csv\")\n",
    "finish = time.time()\n",
    "print(\"Time elapsed: {} seconds\".format(finish - start))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Insights from `Opendata`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's carry out some analysis on the census, in particular on data that concerns employment in different sectors of the economy. More specifically, we will compare employment figures for England, Northern Ireland, Scotland and Wales so as to understand the importance of different sectors towards the regional economies of the UK. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load information about the census dataset\n",
    "info = opendata.load(\"uk_2011_census/census_variable_info.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select information about industry-sector columns\n",
    "sector_info = info[info[\"VariableSubDomain\"] == \"Industry Sector\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select OA column and industry-sector columns\n",
    "selected_cols = [\"OA\"] + sector_info[\"VariableCode\"].tolist()\n",
    "sector = census[selected_cols]\n",
    "\n",
    "# Set useful column names for dataframe 'sector'\n",
    "selected_names = [\"OA\"] + sector_info[\"VariableTitle\"].tolist()\n",
    "sector.columns = selected_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Consider England, Northern Ireland, Scotland and Wales individually\n",
    "sector_england = sector[sector[\"OA\"].str.startswith(\"E\")]\n",
    "sector_northern_ireland = sector[sector[\"OA\"].str.startswith(\"N\")]\n",
    "sector_scotland = sector[sector[\"OA\"].str.startswith(\"S\")]\n",
    "sector_wales = sector[sector[\"OA\"].str.startswith(\"W\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the number of individuals employed in each sector\n",
    "tot_sector_england = sector_england.sum(numeric_only=True)\n",
    "tot_sector_northern_ireland = sector_northern_ireland.sum(numeric_only=True)\n",
    "tot_sector_scotland = sector_scotland.sum(numeric_only=True)\n",
    "tot_sector_wales = sector_wales.sum(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the working population of each region\n",
    "working_pop_england = tot_sector_england.sum()\n",
    "working_pop_northern_ireland = tot_sector_northern_ireland.sum()\n",
    "working_pop_scotland = tot_sector_scotland.sum()\n",
    "working_pop_wales = tot_sector_wales.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the number of people in each sector as\n",
    "# a fraction of the working population in the region\n",
    "ratio_sector_england = tot_sector_england / working_pop_england\n",
    "ratio_sector_northern_ireland = (\n",
    "    tot_sector_northern_ireland / working_pop_northern_ireland\n",
    ")\n",
    "ratio_sector_scotland = tot_sector_scotland / working_pop_scotland\n",
    "ratio_sector_wales = tot_sector_wales / working_pop_wales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_sector(\n",
    "    axis,\n",
    "    sector,\n",
    "    num_england,\n",
    "    num_northern_ireland,\n",
    "    num_scotland,\n",
    "    num_wales,\n",
    "    fontsize=14,\n",
    "):\n",
    "    \"\"\"For a given sector, plot the number of individuals employed\n",
    "    as a fraction of the working population in each UK region.\"\"\"\n",
    "\n",
    "    # Calculate % population employed in the sector for each region\n",
    "    num_uk = [num_england, num_northern_ireland, num_scotland, num_wales]\n",
    "    num_uk = [100.0 * n for n in num_uk]\n",
    "\n",
    "    # Prepare title, xticks, and labels\n",
    "    title = sector.replace(\"_\", \" \")\n",
    "    xticks = [i for i in range(len(num_uk))]\n",
    "    xticklabels = [\"England\", \"N. Ireland\", \"Scotland\", \"Wales\"]\n",
    "    ylabel = \"% population employed in this sector\"\n",
    "\n",
    "    # Plot\n",
    "    axis.bar(xticks, num_uk)\n",
    "    axis.set_title(title, size=fontsize)\n",
    "    axis.set_xticks(xticks)\n",
    "    axis.set_xticklabels(xticklabels, size=fontsize)\n",
    "    axis.set_yticklabels(axis.get_yticks(), size=fontsize)\n",
    "    axis.set_ylabel(ylabel, size=fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "// Disable autoscroll in subsequent Jupyter cells\n",
       "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
       "    return false;\n",
       "}"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "// Disable autoscroll in subsequent Jupyter cells\n",
    "IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
    "    return false;\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We plot the number of individuals employed in various sectors of the UK economy. Data from different parts of the UK are compared, with each value expressed as a percentage of the working population in the region. This is to balance out the fact that England has a much larger population than Northern Ireland, Scotland and Wales. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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ES+fWI1hK93J3XxrTpiXB8n3HA5uAF4Hr3D0/pk13YARwKMEqAQ+6+9OxsZjZ5cD1QDPgszSPZVAYx+HAHsB+7r6ICNQfERERSSwvL2+VuzeutKG718pHx44dXURExN39rbfe8qFDh/o//vEPr1evno8aNSrSflu2bPEjjjjCe/fu7Q0aNChV9/XXX3v9+vV98ODBvmDBAh85cqRnZmb6K6+8UtLm73//u2dmZvrIkSN9wYIFPnjwYG/QoIEvXry4pM2ll17qzZo184kTJ3peXp53797df/nLX3phYaG7uxcWFnq7du28e/funpeX5xMnTvRmzZr54MGDtzkWYD7wOLAeaOnhtRN4iuCLfU/gCGAK8CmQEdZnEKwAMCWs7xm2fzzmGPsBG8LjtwUuBgqAvjFtzgrLLg7bpHssVwNDw38dyHH1R0RERLYLMMsjXEtTnlxI1kOdBBERSaRBgwaRkxZXX321Dxw40EeNGlUmaXHDDTd469atS5VdeOGFftRRR5Vsd+rUyS+66KJSbVq3bu033XSTu7v/73//86ysLH/hhRdK6pcsWeJm5u+88467u48fP97NzJcsWVLS5m9/+5vXrVvX16xZs02xFHcSCGaKvy98vgeQD/T3n7+stwC2AieH273C7RYxbX4PbAZ2D7cfAL7wmGsy8CwwI2Z7JvBMXJu0jCWuPFdJCxERkeoRNWmhOS1EREQSeOutt3jzzTd5/PHHE9bPmDGDk046qVTZySefzKxZsygoKCA/P5+8vLwybU466SSmT58OQF5eHgUFBaXatGjRgrZt25a0mTFjBm3btqVFixalzrNlyxby8vK2KxZgItA1fN6RYGnCicWV7v4tsDCmTRdgYVhebAJQN9y/uM1ESpsA5JpZlpnVCdvGt0nXWERERCSFlLQQERGJ8/3333PxxRfzwgsv0LBhw4Rtli9fTpMmTUqVNWnShMLCQlatWsWqVasoKipK2Gb58uUlx8jIyCgzv0Z8m/hjZGdnk5GRUWGbKLEAK4Cm4fOmQBGwqpI2K+LqV4X7VdRmBcE8WtnhI6OcNukYi4iIiKSQkhYiIiJxzj33XC677DI6d+6c6lBkB2Rmg8xslpnNWrlyZarDERER2aEpaSEiIhLnvffeY/jw4WRmZpKZmcmFF17Ihg0byMzMZOTIkQA0bdqUFStK/0C/YsUKMjMzyc7OLhkNkahN06ZNS45RVFTEqlWrKmwTf4zikRMVtYkSC9AEWB4+X04w6iB+WZX4NvHDNYpHK1TUpglQSDASong0RKI26RhLlbn7SHfPdffc+BVcREREpGqUtBAREYkzb948Pv3005LHnXfeSb169fj000/57W9/C0CXLl2YNGlSqf0mTZpEbm4uWVlZ1KlTh44dOyZs07VrMF1Cx44dycrKKtVm6dKlLFy4sKRNly5dWLhwIUuXLi11jLp169KxY8ftioVgxY3p4fM8glU0ehZXmllzghU1itvMANqG5bHH2BLuX9ymJ6X1JJhsq8CD5UjzymmTjrGIiIhIKkWZrXNHfGi2bhERKbZu3TqfM2eOz5kzx+vVq+fDhw/3OXPmlCw9etNNN/nxxx9f7v6JVg8pXmb0qquu8gULFvgzzzzjWVlZZZYZzcrK8meeecYXLFjgV155pTdo0MAXLVpU0ubSSy/1fffd1ydNmuSzZ8/2Hj16JFzy9LjjjvPZs2f7pEmTfJ999km45GnUWAiWPH2UYGnPVv7z6hhPAUuBE4HDgfdJvMzoe2H9icB3JF5m9I8ESYaLCFYCiV9mND+sa7sDxNIUOAzoR7B6SO9wu5GrPyIiIrJN0JKn6iSIiEjg/fff9/DLZqnHgAED3N19wIAB3qpVq3L3T5S0cHefMmWKH3744V6nTh3Pycnxp556qkybP/3pT96qVSuvU6eOH3HEET516tRS9Zs3b/bBgwd7o0aNvF69ev6rX/2q1PKm7u6LFy/2Pn36eL169bxRo0Z+xRVX+ObNm7c5FoKlQvOAYz22UxCsvPE48COwEXiDmCVFwzYtgTfD+h+Bx4C6cW26A7MJRj18A1zqcddp4HJgET+PjEjnWO5I9PkBBsYfK/6h/oiIiEhiUZMWFrStfXJzc33WrFmpDkNERCTtmFmeu+emOo6dgfojIiIiiUXtj2hOCxERERERERFJS0paiIiIiIiIiEhaUtJCRERERERERNKSkhYiIiIiIiIikpaUtBARERERERGRtKSkhYiIiIiIiIikJSUtRERERERERCQtZaY6gB1Jzk1vpTqEWm3R/X1SHYKIiIiIiPr9SaZ+v1SFRlqIiIiIiIiISFpKWdLCzIaamZvZE5W0a29mU81sk5l9Z2a3m5nVVJwiIiIiIiIikhopuT3EzI4CBgFzK2m3OzAJmAYcCRwMjAI2AA8nOUwRERERERERSaEaH2lhZnsAY4ALgJ8qad4fqA8McPf57v4K8AAwRKMtRERERERERGq3VNweMhJ4xd3fj9C2C/CBu2+KKZsA7APkJCE2EREREREREUkTNZq0MLOLgdbArRF3aQqsiCtbEVMnIiIiIiIiIrVUjc1pYWZtgHuBbu5ekKRzDCKYK4OWLVsm4xQiIiIiIiIiUkNqcqRFFyAb+MzMCs2sEOgOXB5u102wz3KgSVxZk5i6Utx9pLvnuntu48aNqzN2EREREREREalhNZm0eA1oDxwW85gF/D18np9gnxnAMWa2a0xZT+B7YFEygxURERERERGR1KqxpIW7/y9cAaTkQbB06epw283sPjObHLPbi8BGYLSZtTOzM4CbgBHu7jUVu4iIiIiIiIjUvBqb0yKiZsABxRvuvsbMegJ/IhiV8RPwMDAiNeGJiIiIiIiISE1JadLC3XvEbQ9M0GYecGwNhSQiIiIiIiIiaaJGlzwVEREREREREYlKSQsRERERERERSUtKWoiIiIiIiIhIWlLSQkRERERERETSkpIWIiIiIiIiIpKWlLQQERERERERkbSkpIWIiIiIiIiIpCUlLUREREREREQkLSlpISIiIiIiIiJpSUkLEREREREREUlLSlqIiIiIiIiISFpS0kJERERERERE0pKSFiIiIiIiIiKSlpS0EBEREREREZG0pKSFiIiIiIiIiKQlJS1EREREREREJC0paSEiIiIiIiIiaUlJCxERERERERFJS0paiIiIiIiIiEhaUtJCRERERERERNKSkhYiIiIiIiIikpaUtBARERERERGRtKSkhYiIiIiIiIikJSUtRERERERERCQtKWkhIiK13rRp0zjttNPYd999MTNGjx5dYfspU6bw61//mmbNmlG/fn06dOjAX//61zLtpk6dSseOHdl1113Zf//9efrpp8u0efLJJ9lvv/3Ydddd6dixIx988EGp+i1btnDFFVeQnZ1NgwYNOO2001i6dGmpNkuWLOHUU0+lQYMGZGdnc+WVV5Kfn7/NsQBHmFmemR0TW29mdc3scTNbZWYbzOx1M2se16almb0R1q8ys8fMrE5cm+7h8Teb2ddmdml8LGZ2uZl9E7ZJ21jMrFEYx3/MbJOZfWtmT5nZXmXeYBEREal2SlqIiEitt379etq1a8ejjz5KvXr1Km0/ffp02rdvzyuvvML8+fO57LLLGDRoEC+++GJJm2+++YbevXvTtWtX5syZw9ChQ7niiisYO3ZsSZuXX36Zq666iptvvpk5c+bQtWtXevXqxZIlS0raXH311YwdO5aXXnqJDz74gLVr1/KrX/2KoqIiAIqKiujTpw/r1q3jgw8+4KWXXuKVV17h2muv3eZYgAXAdOBtM2sZ89L/CPQFzgGOAXYH3jSzDIDw37eA3cL6c4AzgYeLD2Bm+wHjw+MfDtwHPG5mfWPanAU8CtwbtknnWPYB9gVuANoDvweOBV5CREREks7cPdUxJEVubq7PmjWrWo+Zc9Nb1Xo8KW3R/X1SHYKI7AQaNmzIE088wcCBA6u03+9+9zuKiopKEgE33ngj48aN44svvihpc9FFF/HZZ58xY8YMADp37kyHDh145plnStoceOCBnHnmmdx3332sWbOGxo0bM2rUKPr37w/At99+S6tWrXj77bc5+eSTefvtt+nTpw+LFy+mRYsWALzwwgtcdNFF/PDDD+y+++5VjsXM8tw918y+AF5x96FmtgewEjjf3ccAmFkLYDHQy90nmFkvgkRBK3f/Nmzze+BZYG93X2tmDwBnuPuBxbGY2bPAoe7eJdyeCcx194tj2qRlLIk+C2bWG3gT+IW7r03Uplgy+iMiknzq9yeX+v0ClPRHKmunkRYiIiIRrF27lj333LNke8aMGZx00kml2px88snMmjWLgoIC8vPzycvLK9PmpJNOYvr06QDk5eVRUFBQqk2LFi1o27ZtSZsZM2bQtm3bkoRF8Xm2bNlCXl7edsUCTAS6hs87AllhGQBhMmBhTJsuwMLiJEFoAlA33L+4zURKmwDkmllWePtGxwRt0jWWRHYHtgAbK2gjIiIi1UBJCxERkUq8+eabTJ48mUGDBpWULV++nCZNmpRq16RJEwoLC1m1ahWrVq2iqKgoYZvly5eXHCMjI4Ps7OwK28QfIzs7m4yMjArbRIkFWAE0DZ83BYqAVZW0WRFXvyrcr6I2K4BMIDt8ZJTTJh1jKcXMfgHcBTzj7oXltBlkZrPMbNbKlSsTNREREZGIlLQQERGpwEcffUS/fv147LHH6NSpU6rDkRQys4bAG8B3BHNcJOTuI909191zGzduXGPxiYiI1EZKWoiIiJTjww8/pFevXtx5551cdtllpeqaNm3KihWlf6BfsWIFmZmZZGdnl4yGSNSmadOmJccoKipi1apVFbaJP0bxyImK2kSJBWgCLA+fLycYdZBdSZv44RrFoxUqatMEKCQYCVE8GiJRm3SMBShJWIwPN3/l7psRERGRpKs0aRHe87nczA6tiYBERESKFRQU0LRpUz777LMaP/e0adPo1asXd9xxB1dffXWZ+i5dujBp0qRSZZMmTSI3N5esrCzq1KlDx44dE7bp2jWYLqFjx45kZWWVarN06VIWLlxY0qZLly4sXLiw1DKokyZNom7dunTs2HG7YgF6EqyWAZAHFIRlAIRLjLaNaTMDaBu39GhPgvkd8mLa9KS0nsAsdy9w9/ywbaI26RgLZrYb8A5BQqS3u69HREREakRmZQ3cvcDMCoDaucyIiIikraysLLKysjCz7TrO+vXr+fLLLwHYunUrS5Ys4dNPP6VRo0a0bNmSoUOH8sknnzB58mQApkyZQp8+fbj88svp169fydwRGRkZFA/3v/TSS3niiSe4+uqrueSSS/joo48YPXo0L73080qYQ4YM4dxzz6VTp04cffTRPP3003z//fdceumlAOyxxx5ceOGF3HDDDey9997stddeDBkyhA4dOnDiiScCwcSdhx56KOeddx4PP/wwP/74I9dffz0XX3wxu++++zbFAuxqZo8SLOf5NIC7rzGzvwAPmtkPwI/ACGAu8G54mInAZ8DzZnYtsBfwB4L5HYpX0XgaGGxmfwT+DBwNDCRYkrTYCOBvZvYJ8BFwabrGEiYsJhJMvvkboIGZNQj3XR0mPkRERCRJKk1ahB4HhprZ+eVNOiUiIpIMV1xxBffddx+jRo0iMzPqZau0WbNmcdxxx5VsDxs2jGHDhjFgwABGjx7NsmXL+Oqrr0rqR48ezcaNG3nooYd46KGHSspbtWrFokWLANhvv/0YP34811xzDU899RT77LMPjz32GH379i1pf9ZZZ/Hjjz9y9913s2zZMtq1a8f48eNp1apVSZs//vGPZGZmctZZZ7Fp0yZOOOEEnn/+eTIyMoAgUfLWW29x+eWXc/TRR1OvXj369+/PH/7wh5JjVDUW4BCCEQm93X1xzFt1NcGtEy8D9YDJwHnuXgTg7kVm1gd4kuAL/iZgDHB98QHc/ZtwSdBHgMuA74Er3X1sTJuXzWwv4FagGTA/jWPpCBwVPv+c0o4DpiAiIiJJY+6VD6AwszeA7gQdgvnAhth6dz8twjH+D7gEyAmLPgPudveEiyCbWQ7wTYKqXu7+TmXnS8a66FqvObm0XrOIJHLqqacydepU6tWrR7t27WjQoEGp+tesCjy8AAAgAElEQVRffz1Fke24oq6LLtsvGf0REUk+9fuTS/1+gej9kag/Wa0CxlbaqmJLgRuBLwjm0hgAvGZmHd19bgX7nQL8O2Z79XbGISIiO5Ds7OxSIwZEREREZOcRKWnh7udv74nc/Z9xRbeY2WVAF4J7VMvzo7svr6BeRERqsVGjRqU6BBERERFJkSrdHGxm+xPcB+vAQnf/eltOamYZwG+BhsTMzl2OcWa2K8EIjUfc/ZVtOaeIiOzYvv76axYsWICZ0bZtW/bff/9UhyQiIiIiSRYpaWFmuwN/AfoCW38utrHAhe6+LuJx2hMsP7YrsB443d3nldN8PXAdweRahcBpwMtmNsDdX4hyPhER2fGtXbuWCy+8kLFjx7LLLsFK3e5O3759+ctf/sJuu+2W4ghFREREJFl2idjuUaADwSzZ9cLHCWHZH6twvv8ChwGdgaeA58ysXaKG7r7K3R9294/dfZa7306wXNkN5R3czAaZ2Swzm7Vy5coqhCUiIunqqquuYu7cubz//vts2rSJTZs2MXnyZObOncvVV1+d6vBEREREJImiJi1OAy5y96nuXhA+pgCDCNYsj8Td8939S3fPc/ehwKfANVWIdyZwYAXHH+nuue6e27hx4yocVkRE0tXrr7/Os88+S/fu3cnKyiIrK4sePXowcuRIXnvttVSHJyIiIiJJFDVpUQ/4MUH5aoJbPbbn/HWr0P4wYNl2nE9ERHYwmzZtYq+99ipT3qhRIzZv3pyCiERERESkpkRNWnwE3GVm9YsLzKwBMJzKJ9Isbn+/mR1jZjlm1t7M7gN6AGPC+vvMbHJM+wFm1s/M2ppZGzO7Dvg/4PGIMYuISC1w9NFHc9ttt7Fx48aSsg0bNjBs2DC6du2awshEREREJNmirh4yBHgH+M7MipcnbQ9sBE6OeIymwAvhv2sIljnt5e4TwvpmwAFx+9wKtAKKgM+BCzQJp4jIzmXEiBGccsop7LvvvnTo0AGAefPmUb9+fSZMmFDJ3iIiIiKyI4uUtHD3eWZ2INAfODgs/hswxt03RTzGwKrUu/tzwHNRji0iIrVX+/bt+eKLLxgzZgz/+c9/ADj33HPp378/9erVS3F0IiIiIpJMUZc8PRaY7u7PxJVnmtmx7j4tKdGJiMhOb9q0aXTt2pWLL764VHlhYSHTpk3j2GOPTVFkIiIiIpJsUee0eB9olKB8j7BOREQkKY477jhWr15dpnzNmjUcd9xxKYhIRERERGpK1KSFAZ6gfC9gQ/WFIyIiUpq7Y2Zlyn/88UcaNGiQgohEREREpKZUeHuImb0ePnXgBTPbElOdAbQj4uohIiIiVXHaaacBYGb8/ve/p27dn1fILioqYv78+Vo9RERERKSWq2xOix/Dfw34CYiddDMf+BB4Jn4nERGR7bXXXnsBwUiLPffcs9Skm3Xq1KFbt25l5rkQERERkdqlwqSFu58PYGaLgD+4+8aaCEpERGTUqFEA5OTkcP3111O/fv0URyQiIiIiNS3qnBavAK3jC82sg5kdUr0hiYiI/OzMM8/kyy+/LFM+d+5cFixYkIKIRERERKSmRE1ajCSYvyLeIWGdiIhIUgwaNIj58+eXKV+wYAGDBg1KQUQiIiIiUlOiJi06AJ8kKP8X0L76whERESlt7ty5dOrUqUz5kUceybx581IQkYiIiIjUlKhJiyJgjwTlexJM0ikiIpIUGRkZrFmzpkz5Tz/9hHui1bhFREREpLaImrSYCtxiZhnFBWaWCdwCTEtGYCIiIgDdu3fnnnvuoaioqKSssLCQe+65h2OPPTaFkYmIiIhIslW25GmxGwiWN/3SzD4My7oBDQH1GEVEJGkefPBBunXrRuvWrenWrRsAH374IevXr2faNOXNRURERGqzSCMt3P2/BPNavAg0Ch9jgF+6+8LkhSciIju7Nm3aMHfuXPr168fq1atZvXo1/fv359///jdt27ZNdXgiIiIikkRRR1rg7ssIbgcRERGpUc2aNeOee+5JdRgiIiIiUsOizmmBmbU3syfMbLyZNQvLfmNmhycvPBEREZg3bx6DBw+md+/eLFu2DIDXXnuNOXPmpDgyEREREUmmSEkLMzuJYHnTfYETgHph1QHAsOSEJiIiAhMnTuTII4/ku+++Y/LkyWzatAmAr776iuHDh6c4OhERERFJpqgjLe4Chrj76UB+TPkUoFN1ByUiIlLstttuY8SIEbz66qvUqVOnpLxHjx588sknKYxMRERERJItatKiHTA+Qflqgkk5RUREkmL+/Pn07t27THmjRo1YvXp1CiISERERkZoSNWmxmuDWkHhHAEurLxwREZHSGjVqxHfffVemfPbs2TRv3jwFEYmIiIhITYmatHgR+IOZNQccyDSz7sBDwPPJCk5ERKRfv35cf/31LF26FDOjsLCQqVOnct1113HeeeelOjwRERERSaKoSYtbgW+AxUBDYAHwHvAhoDXoREQkae6++272228/WrVqxfr16znkkEM4/vjj6datG7fcopW4RURERGqzzCiN3L0A6G9mtxHcErILMMfdv0hmcCIiIllZWYwZM4a77rqL2bNns3XrVg4//HAOPPDAVIcmIiIiIkkWKWlRzN2/Br4GMLPWZraru29OSmQiIiIx9t9/f/bff38AvvzySzZv3syuu+6a4qhEREREJJki3R5iZvea2YDwuZnZJOBzYJmZdU5mgCIisnO7+eabee655wBwd3r27MlBBx1Es2bNmDlzZoqjExEREZFkijqnRX/gv+HzXsBhwFEEk3Den4S4REREABgzZgxt2rQB4O233+bTTz/l448/5rzzzuOmm25KcXQiIiIikkxRbw9pws9Lm/YG/p+7f2Jmq4FZSYlMREQEWLFiRcnSpuPHj+d3v/sdnTp1olGjRuTm5qY4OhERERFJpqgjLX4EWoXPTwImh88zAavuoERERIrttddeLF68GICJEydywgknAFBYWIi7pzI0EREREUmyqCMtxgIvmtnnQCNgQlh+GPBlMgITEREB6Nu3L/369eOggw5i9erVnHzyyQB8+umntG7dOsXRiYiIiEgyRU1aDAEWAy2BG9x9Q1jeDHgqGYGJiIgAjBgxglatWrFkyRIefPBBGjRoAMCyZcu47LLLUhydiIiIiCRTpKSFuxcCDycof6TaIxIREYmRmZnJtddeW6b8mmuuSUE0IiIiIlKTos5pISIiIiIiIiJSo5S0EBEREREREZG0pKSFiIiIiIiIiKQlJS1ERERkp2Jmx5rZ62b2nZm5mQ2MsE97M5tqZpvC/W43My37LiIikmTblLQws3pmdqKZtarCPv9nZnPNbG34mGFmfSrZRx0EEREpZdOmTbz77rssXrw41aHIjqshMB+4CthUWWMz2x2YBKwAjgz3u55gdTURERFJokhJCzMbbWaXh8/rAJ8AE4H/mlmviOdaCtwIHAHkAu8Br5lZh3LOqQ6CiIgwcOBAnnzySQDy8/Pp1KkTJ510Em3atOHtt99OcXSyI3L38e5+s7u/AmyNsEt/oD4wwN3nh/s9AAzRjykiIiLJFXWkxcnAx+Hz04DdgKbAHeGjUu7+T3d/292/dPfP3f0WYB3QpZxd1EEQEREmTJjAUUcdBcDrr7/OunXrWL58OXfccQd33HFHaoOTnUUX4AN3jx2VMQHYB8hJSUQiIiI7iahJiz2BH8LnpwBj3f0H4O/AIVU9qZllmNnZBMMzp5fTTB0EERHhp59+Yu+99wbgnXfeoW/fvuy9996cffbZLFiwIMXRyU6iKcHIz1grYupKMbNBZjbLzGatXLky6cGJiIjUZlGTFsuBdmaWQTDq4t2wvCFQEPVk4RwV64EtwNPA6e4+r5zmVeogiIhI7dS0aVPmz59PUVEREyZM4MQTTwRg/fr1ZGVlpTg6kbLcfaS757p7buPGjVMdjoiIyA4tM2K7vwIvA98DRcDksLwz8J8qnO+/wGHAHsCZwHNm1sPd51fhGOUys0HAIICWLVtWxyFFRCTFLrjgAs466yz22WcfMjIyOOGEEwCYOXMmBx98cIqjk53EcqBJXFmTmDoRERFJkkhJC3e/08w+A1oC/3D3/LCqkGCeiUjC/b4MN/PM7EjgGuDCBM2r3EFw95HASIDc3FyPGpeIiKSv22+/nUMPPZQlS5bw29/+ljp16gCQmZnJjTfemOLoZCcxA3jAzHZ1981hWU+CH3MWpSwqERGRnUDUkRa4+9gEZc9t5/l3AeqWU6cOgoiIANC3b98yZQMGDEhBJFIbmFlDoHW4uQvQ0swOA1a7+xIzuw/o5O4nhG1eBIYBo83sbuAg4CZguLvrRxIREZEkKjdpYWZnAG+4e0H4vFzuPq6yE5nZ/cBbwLcEq4/0A3oAfcJ6dRBERASAcePGceqpp5KVlcW4cRVfYs44o8JLlEgiucD7MdvDw8dzwECgGXBAcaW7rzGznsCfgFnAT8DDwIgaildERGSnVdFIi1cIJrz8IXxeHgcyIpyrKfBC+O8aYC7Qy90nhPXqIIiICABnnnkmy5cvZ++99+bMM88st52ZUVRUVIORSW3g7lOAcpdPd/eBCcrmAccmLyoRERFJpNykhbvvkuj5tkrUAaisXh0EEZGd09atWxM+FxEREZGdy3YnI0REREREREREkiHyRJxm1pxg1MPexCU73F23bIiISNIsXbqUadOm8cMPP5QZeTFkyJAURSUiIiIiyRYpaWFm/YG/EixxupJgHotijuaZEBGRJBkzZgwXXHABmZmZNG7cGLOfpyIwMyUtRERERGqxqCMt7iSYBPM2d9eMZyIiUmNuv/12rr32Wu666y4yMqLM+ywiIiIitUXUOS2aAM8qYSEiIjVtxYoVXHTRRUpYiIiIiOyEoiYtxgOdkxmIiIhIIr1792bmzJmpDkNEREREUqDc20PM7IyYzUnAA2Z2KDAPKIht6+7jkhOeiIjsjMaN+/my0rNnT2688UY+++wz2rdvT1ZWVqm2Z5xxRvzuIiIiIlJLVDSnxSsJym5OUOaAxuyKiEi1OfPMM8uU3XvvvWXKzIyiIt25KCIiIlJblZu0cPeot46IiIhUq/hlTUVERERk5xQpMWFm55lZ3QTldczsvOoPS0REJPD888+zZcuWMuX5+fk8//zzKYhIRERERGpK1NEUo4A9EpTvFtaJiIgkxfnnn8+aNWvKlK9bt47zzz8/BRGJiIiISE2JmrQwgrkr4rUEyvYkRUREqom7Y2ZlypcsWcIeeyTKp4uIiIhIbVHRRJyY2TyCZIUDU82sMKY6A2hFsByqiIhItWrfvj1mhpnRvXt3MjN/vmQVFRWxePFievfuncIIRURERCTZKkxa8PMKIu2At4D1MXX5wCJgbPWHJSIiO7viFUTmz59Pnz59aNiwYUldnTp1yMnJoW/fvqkKT0RERERqQIVJC3cfDmBmi4C/u3vZmdBERESSYNiwYQDk5ORw9tlnU7dumfmgRURERKSWq2ykBQDu/lyyAxEREUlkwIABqQ5BRERERFIk6kScIiIiIiIiIiI1KtJICxGRmpRz01upDqHWWnR/n1SHICIiIiISmUZaiIiIiIiIiEhaUtJCRERERERERNJS5NtDzKwzcAKwN3HJDne/sprjEhERKTFz5kwmT57MDz/8wNatW0vVPfbYYymKSkRERESSLVLSwsyuAx4EvgS+Bzym2hPuJCIiUg0eeughbrjhBlq3bs0+++yDmZXUxT4XERERkdon6kiLq4Ar3f2JZAYjIiIS79FHH+Wxxx5j8ODBqQ5FRERERGpY1DktdgfGJzMQERGRRNauXUvv3r1THYaIiIiIpEDUpMVLwCnJDERERCSRc845h3feeSfVYYiIiIhICkS9PeRbYLiZHQ3MBQpiK919RHUHJiIiAtCiRQuGDRvGRx99RIcOHcjKyipVP2TIkBRFJiIiIiLJFjVpcRGwHugaPmI5oKSFiIgkxbPPPkvDhg2ZPn0606dPL1VnZkpaiIiIiNRikZIW7r5fsgMRERFJ5Jtvvkl1CCIiIiKSIlHntBARERERERERqVHljrQws8eAoe6+IXxeLne/stojExGRndaVV17JfffdR4MGDbjyyoovMY89VuElSkRERER2YBXdHtIeyIp5Xh6vvnBERERg3rx5FBQUlDwvj5nVVEgiIiIikgLlJi3c/bhEz0VERJLt/fffT/hcRERERHYumtNCRERERERERNKSkhYiIiIiIiIikpYiLXlaHcxsKHAG0AbYAnxMMNHn/Ar2yQESrXXXy93fSUKYUsvk3PRWqkOo1Rbd3yfVIYiIiIiISC1WkyMtegBPAl2B44FC4F0zaxRh31OAZjGP95IUo4iIiIiIiIikiRobaeHuJ8dum9m5wBrgaOCNSnb/0d2XJys2EREREREREUk/5SYtzKxl1IO4+5JtOPduBCM9forQdpyZ7Qp8ATzi7q9sw/lERGQHsWRJ9MtKy5aRL1ciIiIisoOpaKTFIsAjHidjG879KPApMKOCNuuB64CPCG4nOQ142cwGuPsL8Y3NbBAwCNSJFRHZkeXk5GBmkdoWFRUlORoRERERSZWKkhZHxjw/CHgQeJqfkwxdgEuAG6t6UjMbAXQDurl7ub1Nd18FPBxTNMvMsoEbgDJJC3cfCYwEyM3NjZpwERGRNPOvf/2r5Pnnn3/ODTfcwKWXXkqXLl0AmDFjBn/+85954IEHUhWiiIiIiNSAcpMW7p5X/DxMMlwTd1vGe2b2X+Aq4KWoJzSzR4CzgePc/euqh8xM4Pxt2E9ERHYQHTt2LHk+ZMgQHnnkEc4888ySsuOPP542bdrw6KOPcs4556QiRBERERGpAVEn4uwEzE1QPhfomKA8ITN7FDiLIGHxn6j7xTkMWLaN+4qIyA7mk08+oUOHDmXKO3ToQF5eXoI9RERERKS2iLrk6SLg8gTllwOLoxzAzP5EMEKiH/CTmTUNHw1j2txnZpNjtgeYWT8za2tmbczsOuD/gMcjxi0iIju4nJwcnnzyyTLlTz75JK1atUpBRFIbmNnlZvaNmW02szwzO6aS9v3M7FMz22hmy83sBTNrWlPxioiI7KyijrS4BnjVzE4BPg7LOgM5wBkRj1Gc9JgcVz4cuCN83gw4IK7+VqAVUAR8DlyQaBJOERGpnR555BFOP/103nnnHY466igAZs6cyaJFixg3blyKo5MdkZmdRTAh+OXAh+G/b5vZIYlWRDOzo4G/EUwO/hrQBHgSGAOcUFNxi4iI7IwijbRw93eAA4FxwO7hYxxwkLu/HfEYVs7jjpg2A909J2b7OXc/xN0buPvu7p6rhIWIyM7llFNO4YsvvuCMM85g7dq1rF27ljPOOIPPP/+cXr16pTo82TENAUa7+zPuvtDdryC49fSyctp3AZa6+yPu/o27f0ww6rNzDcUrIiKy04o60gJ3XwrcnMRYREREEmrevDn33ntvqsOQWsDM6hDMx/VQXNVEoGs5u30E3GtmpwJvAnsRTCo+PllxioiISCDqnBaYWXsze8LMxptZs7DsN2Z2ePLCExERgXnz5jF48GB69+7NsmXBXMyvvfYac+bMSXFksgPKBjKAFXHlK4CEc1S4+wyCJMUYIB9YCRgwIFF7MxtkZrPMbNbKlSurK24REZGdUqSkhZmdBPwL2Jfg3s16YdUBwLDkhCYiIgITJ07kyCOP5LvvvmPy5Mls2rQJgK+++orhw4enODrZGZjZIQS3g9xFMErjFIIEx58TtXf3keEtrbmNGzeuuUBFRERqoagjLe4Chrj76QS/MBSbQrAcqoiISFLcdtttjBgxgldffZU6deqUlPfo0YNPPvkkhZHJDmoVweTeTeLKmwDLy9lnKPCJu//B3ee6+wSCyTvPNbPmyQtVREREoiYt2pH4vs3VQKPqC0dERKS0+fPn07t37zLljRo1YvXq1SmISHZk7p4P5AE946p6AtPL2a0+QaIjVvF25FttRUREpOqiXmhXE9waEu8IYGn1hSMiIlJao0aN+O6778qUz549m+bN9SO3bJMRwEAzu8jM2prZo8A+wNMAZva8mT0f0/4N4NdmdpmZ7R8ugfoYMDvREqkiIiJSfaImLV4E/hAOgXQg08y6E8y8/XyFe4qIiGyHfv36cf3117N06VLMjMLCQqZOncp1113Heeedl+rwZAfk7i8DVwO3Ap8C3YDe7r44bNIyfBS3H02wTOpgYD7wCvA58Ouai1pERGTnFHXJ01uB0cBigtmyF4T/vgjck5TIREREgLvvvpuBAwfSqlUr3J1DDjkEd6dfv37ccsstqQ5PdlDu/iTwZDl1PRKUPU4wGaeIiIjUoEhJC3cvAPqb2e3A4QQjNOa4+xfJDE5ERCQrK4sxY8Zw5513MmfOHLZu3crhhx/OgQcemOrQRERERCTJIiUtzOw3wBvu/hXwVXJDEhER+dlrr73GqaeeygEHHMABBxyQ6nBEREREpAZFndNiDPCdmT1gZgclMyAREZFY/fv3Z9999+XGG2/k888/T3U4IiIiIlKDoiYtmgLDgO7AQjP70MzON7MGyQtNREQEli9fzvDhw5k6dSpt27alW7dujBo1ig0bNqQ6NBERERFJskhJC3df5+5/dvejgA7ATOA+YJmZPWNmRyUzSBER2XnttttuXHLJJXz88cfMnTuXzp07M3ToUJo1a8bFF1/Mxx9/nOoQRURERCRJoo60KOHunwGPACOBOsBZwAdmNtPMOlRzfCIiIiUOPfRQrrnmGgYNGkR+fj4vv/wyxxxzDJ07d2bu3LmpDk9EREREqlnUJU8xsyzgdOAC4ASC0RaXAi8DewL3hs/bVn+YIiKSznJueiupx/eiQjZ+PoP18yaxefG/qdusDQ1PuIz6Bx/D7pvX89m05+l4XB/2vfjppMaRCovu75PqEERERERSJurqIY8D5wAO/A0Y4u4LYppsMrObgO+rP0QREdmZrZ70NBsWTgOgwaHHsefxF1Enu2VJ/S5Zddmz+0CW/um8VIUoIiIiIkkSdaTFIcBgYJy755fTZhVwXLVEJSIiEir4cQmNTryE+m26YhlZCdvsUn93mpxzbw1HJiIiIiLJFilp4e4nRGhTCEzd7ohERERiNDm78mSE7ZLBri3b10A0IiIiIlKTqjKnRQfgOoJRFw4sAP7g7vOTFJuIiAgA+T98w9pPxlHw47eAkZXdgt07nUGdxjmpDk1EREREkijS6iFmdhowG2gBvA28A7QE5pjZqckLT0REdnYbv5jJstFXUbhuFfX260i9/Y6gcO1Klo2+io1fzkx1eCIiIiKSRFFHWtwN3OPuw2ILzezOsO6N6g5MREQE4H8f/I09upzFL47pH1f+Av+b9jfqt+6coshEREREJNkijbQADvr/7N15eF1V2bDx+0mapk3neZJSBoEiItACL2WwvIog+iGCii8o4ASoKIgKiKDixCSjgFBEEZxQcUBQoWBRhAqUQSmDMrQMhY7p3KZt0vX9sU/CSZq0p5AzJL1/17WvnL322ms/yT7DynPWXpvsriFt3QTs2HnhSJLU2rr6OfTZZcN5nvu85UDW1c8pQ0SSJEkqlUKTFvOBCe2UTwDmdV44kiS1Vl03kLVzn92gfO3cZ6nuM7AMEUmSJKlUCr085Drg2ojYHrg/V7Yv2cScFxUjMEmSAPq+7V0suuMqGhe/Su2Y8QA0zHmSZQ/+jgF7HVHm6CRJklRMmzOnxQrgi8C3cmWvAF8HrihCXJIkATBg0oep6tmbZQ/+jiX3/hSA6r6DGbjf0fSbcFiZo5MkSVIxFZS0SCkl4FLg0ojolytbXszAJEkCiAj673k4/fc8nPVrVgFQVVtX5qgkSZJUCoWOtGhhskKSVC4mKyRJkrYsHSYtIuJxIBXSSEpp106LSJK0xXvl+s9CREF1R3/8yiJHI0mSpHLZ2EiL35QsCkmS8tTtuG+5Q5AkSVIF6DBpkVI6t5SBSJLUbOB+R5c7BEmSJFWAzZrTIiK2A8bnVp9KKT3X+SFJkrShdYtfZd2ilwCoGbIVNYNGlTkiSZIkFVtBSYuIGAJcDxwGrH+tOG4DPp5SWlSk+CRJW7im1ctY9OcrWP3MA63muei93Z4MOfQUqnv3L2N0kiRJKqaqAuv9ENge2B/olVsOALYBritOaJIkwaI/X0Hj4lcYccwFjP3S7xj7pd8x4ujzaVw6j0V/+X65w5MkSVIRFZq0OBj4VErpvpRSY265Dzgxt02SpKJomPUoQw75HL3etDNRVU1UVdPrTTsz5ODP0jDrkXKHJ0mSpCIqNGmxAFjZTvkqoKBLQyLiKxHxUEQsi4gFEfHHiNilgP3eGhF/i4jVETEnIr4WUeB98CRJXV5VXX+iptcG5VFTS1UvLw2RJEnqzgpNWnwTuCwixjQX5B5fnNtWiMnA1cAk4H+BRuCuiBjc0Q4R0R+YCswD9gROAb4MnFbgMSVJXdyASf9H/d3X0bh8YUtZ4/KFLP7r9QzY98NljEySJEnFVujdQ04FxgGzI2JOrmwM0AAMj4jPN1dMKe3aXgMppVaXkUTER4GlwL7AHzs47jFAHXBcSmk1MDMidgJOi4hLUkqpwPglSV3U8hl/oHHZfOZc8wmq+w4BoGnFIqJHT5pWLWX5w699hIz++JXlClOSJElFUGjS4jdFOHY/spEeizdSZx/g3lzCotkdwLfIkiizihCXJKmC1O24b7lDkCRJUpkUlLRIKZ1bhGNfDjwGTN9InZHAy23K5uVta5W0iIgTgBMAxo4d2zlRSpLKauB+R5c7BEmSJJVJoSMtWkREL9rMhZFSWrWZbVwC7Afsl1Jq2twYOpJSmgJMAZg4caKXjkhSN5Ma15LS+lZlVe1M0ilJkqTuoaCkRURsDVwBHAj0aadKdaEHjIhLgQ8DB6aUnt9E9bnAiDZlI/K2SZK6ucal86m/61oaXoAbB8MAACAASURBVPw3ad2aDbZvffqtZYhKkiRJpVDoSIufAr2Az5FdnvG6RjFExOXAUWQJi6cL2GU6cEFE9EopNeTKDgJeAWa/nhgkSV3Lwtu+R2pcx+B3nkR1n4HlDkeSJEklVGjSYndgz5TSU6/3QBFxFfBR4HBgcUSMzG1akVJakatzHrBXSukduW0/B74O3BAR3wZ2AM4EzvXOIZK0ZVg773lGHXspNUO3KncokiRJKrGqTVcB4F/AsDd4rM+Q3THkbuDVvOVLeXVGAds1r6SUlpKNrBgNzACuAi4GLnmDsUiSuoiew7ehafXScochSZKkMih0pMUJwBURcQUwE1iXvzGl9OKmGkgpRQF1jm+n7HHggALjlCR1M4MPPpnFd1/L+gmHUTN0a6K69TRKPfoPL1NkkiRJKrZCkxZVZBNg/o7W81lEbr3giTglSdo8iaaVS1jw2+9A5OW/U4IIJ+KUJEnqxgpNWvwEmA+cwRuYiFOSpM216PZLqaobyLAPfIzquoGtExeSJEnq1gpNWuwE7JZS+m8xg5Ekqa11i15m1MeuoGbwmHKHIkmSpBIrdCLOB4FtihmIJEnt6TnqzTQumVvuMCRJklQGhY60+AFwWURcDDzOhhNxPtLZgUmSBNBv90Opv/s6+i9fSM9h46Cq9TRKtSO3L09gkiRJKrpCkxa/yP2c0s42J+KUJBXNwlsvAqD+L1duuNGJOCVJkrq1QpMWXhoiSSqLMSdd32ltLX/kdpY++FuaVtTTc+hYBr3jU/TaapcO66emdSy9/2ZWPDGNphWLqK4bRP+93k//iYe11Fn5n/tYeu9PWbfkVWoGjmLgAR+lbodJr7WREkvv+zkr/nUH6xtW0HPUDgw+6NP0HLZ1S52mhhUsvutaVj3zAAB1b96bwe88kapefVvqPP7445x88sk8+OCDDB48mBNPPJFzzjmHyJuY9JZbbuGcc87hueeeY7vttuM73/kO73//+1vFcu655wLsGhGrgQeAz6aUnmiuExGDgCuA5l/yVuBzKaUleXXeClwJ7AXUA9cC30oppbw6RwLfArYDngO+mlL6Xd72AL5Odlv1QV0glq8ChwK7AXWF3MpdkiS9cQXNaZFSemFjS7GDlCRtuXoMGL7RpVArn/o79XdPYcD/fJDRx19B7ZjxzP/1N2hcNr/DfRbceiGrZz3MkINPZsynrmXY4WfSc/i4lu1r5jzFwj9cQJ+dJzP6+O/TZ+fJLPj9+ax55T8tdZY9cAvLHvo9g955IiOPvYTquoHM/9U5rF+zqqXOwlsvYu3c5xjxoXMZ8aFzWTv3ORbedvFrbSxbxkEHHcSIESN46KGHuPzyy7nooou45JJLWupMnz6do446imOOOYbHHnuMY445hg9+8IM88MADLXUuvPBCLr74YoAXgT3J7gw2NSL65f3aPwf2AA7JLXsANzVvjIj+wFSyu4ntCZwCfBk4La/OPsDNwM/I/sn/GfDriNg77zinA18EPtdFYqkFfgtchiRJKplCJ+IkIt4dEbdFxJMRsVWu7JMR8Y7ihSdJEqx+bgbzf3Mur/zw0zQuWwDA8n/dwerZjxXcxrKHfk/fXd5Bv90OoWboVgw+6CSq+w5i+aN/av+Ysx6hYfa/GP6Bb9B7m93pMWAEtaN3pNfYXV9rc8at9Bq7KwMmHUXN0K0YMOkoeo19K8tm/AHIRjYsn/EHBuz9AfrsuC89h41jyHu+wPq1q1n51N8AWLfwJRpmPczgQ06mdsx4aseMZ/Ahn2X1cw+xbtHLAPzsZz9j1apV/OQnP2GXXXbhAx/4AGeccQaXXHIJzQMKLrvsMg488EC++tWvMn78eL761a8yefJkLrvsspZYLrvsMs4880yAJSmlmcBxQD/gaICIGE+WHDghpTQ9pTQdOBF4b0TsmPu1jwHqgONSSjNTSr8BLgBOi9eGfZwKTEspfSel9FRK6TvAPbny5pENpwLnp5RuqfRYcn+/r6WULgYebfcJI0mSiqKgpEVEHAP8CniG7FKRmtymarJvJyRJKooVT0xjwa0X0GPQaBqXziOtb8o2pPUse+CWgtpITetYO/dZem2zR6vyXuP2YM2cp9vdZ9Uz/6R21JtZ9tDvefmq45gz5VPU33Ut69eubqmzZs7T9Npm99ZtbrMHa+Y8BUDj0nk0rVzcqk5VTS293vSWljprXnmK6Nmb2jHjW+rUjtmZqOnVUmf69Onsv//+9O7du6XOwQcfzCuvvMLs2bNb6rzrXe9qFcvBBx/M/fffD8CsWbOYO3duqzoppdXA34Hm61n2AVYA9+c1cx+wsk2de3P7NrsDGA2My6tzJ63dkdfGNsDI/DoVHoskSSqTQkdanA58KqX0BaAxr/yfZEMtJUkqimUP3MKQg09m8Ds+1erOIbWjd2Tt/FkFtdG0ahmk9VT3GdiqvLrPQJpWLm53n8Ylc2l4+UnWzZ/FsPefxeB3nsTq5x9m0e2XvtbuysUbbbNpxeKWsnxVfQa2bGtauYTq3v1bzU0REVTXDWhpZ+7cuYwYMaJVG83rc+fO3Wid/O35++WZR/ZPO7mfC/Lng8g9nt+mzrx22qCAOiPb1NtUnUqJZbNExAkRMSMiZixYsOD1NCFJknIKTVq8GZjeTvkKoH/nhSNJUmuNi19tNQqhWdT0Jq1d1c4enSQlIoKhh32Z2tE70nvbCQw+6CRW/ff+DhMdEkBKaUpKaWJKaeKwYcPKHY4kSV1aoUmLV4Ad2ik/gGwWbkmSiqK672DW1c/ZoHzNSzPpMbCwL8Kr6/pDVNG0ckmr8qaVS6juM6iD4w6iuu8Qqmr7tJTVDNkKoGVejeo+gzbaZnXfQS1l+davXNKyrbrPQJpWLyNvQAEpJZpWLW1pZ+TIkcyb13ogQPP6yJEjN1onf3v+fnlGAHNzj+cCw/Lmg2ie82F4mzpth2uMyNu2sTpz29TbVJ1KiUWSJJVJoUmLKcAVEbFvbn2riDgOuBD4QVEikyQJ6LvbwdTfdS0NLz8JQNOyBax4/G4W3/Nj+u1+aEFtRHUNPUduT8Ps1nMoNsx+lNoxO7W7T+2YnWlaUd9qDovm5EmP/sNzdXaioc1koA2zH2sZGdJjwAiq+wxqVSc1rqXh5Sda6tSOHk9au7rV3Bpr5jxNWtfQUmefffbh3nvvpaGhoaXO1KlTGT16NOPGjWupM3Xq1FaxTJ06lUmTsmkZttlmG0aOHNmqTkT0AvbntXkjpgN9yeaBaLYP0KdNnf1z+zY7iOwLjtl5dQ6itYPy2phFlhBoqVPhsUiSpDIp9JanF5Ld5msqWWdhGnANcE1K6arihSdJ2tIN2PsD1O04ifk3n0Na28C8X5xF/Z1X0W+3d9Nvj/cW3E7/PQ9nxeN3s/xfd7Bu4UvU33UtTSvq6bdblvhYeNvFrW4z2mfnt1PVux+L/nQZaxe8QMPLT7L47inU7bhvyxwV/SYcRsML/2LpP3/NukUvsXT6r2h48d/0n/g+IJubot/E97H0n79h1X/uZ+2C2Sy8/VKqevamz/i3A1AzdCt6bTOB+juuZM2cp1gz5ynq77iS3tvtSc2QNwFw9NFHU1dXx/HHH8/MmTP57W9/y/nnn89pp53WMhfGKaecwl//+lfOP/98nn76ac477zymTZvGqaee2hLLqaeeygUXXAAwMCJ2AW4gu9Tz5wAppaeAvwDXRsQ+uduFXgvcllJqvo/rz4FVwA0RsUtEHAGcCVySN//E5cD/RsSZEbFTRHwFOJDc7UJz9S4DzoiIIyo9ltzfb2xE7EZugs+I2C239O3oOSdJkt64HoVWTCl9NSK+A+xMlux4MqW0omiRSZKUM+iAYxmwz4dYt/AlSOupGTqWqp69N71jnj7jD2D96uUsvf9m6lfW03Po1gz/4DfoMSAbNdF8yUezqp69GXHUt6m/61rm3ngaVb360PvN+zDo7ce11On1pvEMPex0ltz7U5bc+zN6DBzJsMPOoHb0ji11+u99JKlxDfVTf0BTwwpqR+/I8A99k6raupY6Qw/7MounXsO8X30NgLrt92bwQSe1bB8wYABTp07ls5/9LBMnTmTQoEF88Ytf5LTTTmupM2nSJH75y19y9tln87WvfY3tttuOm2++mb333rulzumnn87q1as599xzxwIzgAeAd6WUluf96kcD3ye7wwbArcDJzRtTSksj4iDgqlwbi4GLgUvy6twfER8Gvg18k+xS0qNSSg/kHedCoHeunUFdIJZvkt0KtVnzsJ0DyW6hKkmSiiDyr6HtTiZOnJhmzJjRqW2OO/P2Tm1Prc0+/z2d3qbnrLiKcc7A81ZMnrOupxjnLCIeTilN7PSGtYFi9EckFZ+fa8VVrP6IupZC+yOFzmkhSZIkSZJUUiYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJEKvntIRNQBuwHDaZPsSCn9tpPjkiSpxfp1DaydN4v1q5ZAmwmk63acVKaoJEmSVGwFJS0i4p3AL4Ah7WxOQHVnBiVJUrPVsx9j4a0Xsn718g03RrD16beWPihJkiSVRKEjLS4HbgfOSim9UsR4JElqZfFdU+i93Z4MPOBYevRrL3cuSZKk7qrQOS3GAd8yYSFJKrXGZfMYMOnDJiwkSZK2QIUmLe4DdixmIJIktad2zM401r9c7jAkSZJUBoVeHnIN8L2IGA08DqzL35hSeqSzA5MkCaDfbu9m8bQf0biinp7DxkFV62mUakduX57AJEmSVHSFJi1+k/s5pZ1tTsQpSSqaBb8/D4D6v1y54UYn4pQkSerWCk1abFPUKCRJ6sCYk64vdwiSJEkqk4KSFimlF4odiCRJ7ekxYHi5Q5AkSVKZFDrSgojYFfgSsDPZJSFPAhellGYWKTZJkgBYO38Wyx78LesWvQQENUO3ov9eR2RzXEiSJKnbKujuIRFxGPAIsBXwZ+AvwFjg0Yj4f8ULT5K0pVv1zAO8esMpNC5fSO9tJtB7mz1oXLaAV284hVXPPlDu8CRJklREhY60+DbwnZTS1/MLI+KbuW1/7OzAJEkCWHLvTQzY5ygG7n9Mm/KfsuTvN1G3/d5likySJEnFVtBIC2AH4KZ2ym8Cduy8cCRJam1d/Rz67HLgBuV93nIg6+rnlCEiSZIklUqhSYv5wIR2yicA8wo9WEQcEBG3RsSciEgRcfwm6o/L1Wu7HFLoMSVJXVt13UDWzn12g/K1c5+lus/AMkQkSZKkUin08pDrgGsjYnvg/lzZvmQTc160GcfrC8wEbswthToE+Ffeev1m7CtJ6sL6vu1dLLrjKhoXv0rtmPEANMx5kmUP/o4Bex1R5ugkSZJUTJszp8UK4IvAt3JlrwBfB64o9GAppT8BfwKIiBsKjhIWpZTmbkZ9SVI3MWDSh6nq2ZtlD/6OJff+FIDqvoMZuN/R9JtwWJmjkyRJUjEVlLRIKSXgUuDSiOiXK1tezMDa+G1E9AKeAS5NKf2mhMeWJJVRRNB/z8Ppv+fhrF+zCoCq2royRyVJkqRSKHSkRYsSJytWkF2Cch/QCBwG3BwRx6WUftq2ckScAJwAMHbs2BKGKUkqBZMVkiRJW5YOkxYR8W/g7SmlxRHxOJA6qptS2rUYwaWUFgIX5xXNiIihwOnABkmLlNIUYArAxIkTO4xXklTZXvnRyYw4+nyqe/Xlles/CxEd1h398StLGJkkSZJKaWMjLW4B1uQ9rpQkwAPAx8odhCSpeOp2mERUZx9RdTtOAjpOWkiSJKn76jBpkVI6N+/xN0oSTWF2A14tdxCSpOIZuN/ReY+PKWMkkiRJKqeqQipFxF8jYmA75f0j4q+FHiwi+kbEbhGxW+7YY3PrY3Pbz4uIu/PqHxcRR0fE+IjYMSK+BHwW+H6hx5QkdW1zf3EW6xtWbFC+fs0q5v7irDJEJEmSpFIpdCLOyUDPdsp7AftvxvEmAtPy1s/NLT8BjgdGAdu12edsYGugCfgv8PH2JuGUJHVPa158nNTUuEF5alzLmpefKENEkiRJKpWNJi0iYo+81V0joj5vvRo4GJhT6MFSSvewkQuTU0rHt1n/CVlCQ5K0hVkz99mWx2sXzKZqed/XNqb1rJ71CNV9h5QhMkmSJJXKpkZazCCbgDMBd7azfTXwuc4OSpKkuT/5QnbXkAjm33zOBtujpieD33liGSKTJElSqWwqabEN2ciI54G9gAV529YC81NKTUWKTZK0BRtz0vVAYs41n2TksZdQXTfgtY3VPaiuG0BUVZctPkmSJBXfRpMWKaUXcg8LmrBTkqTO0mPAcAC2PuOPZY5EkiRJ5VLoRJxERA+y0RZjaTMpZ0rpxk6OS5KkFml9E2te+S9Ny+aT1reelLPvLu8oU1SSJEkqtoKSFhGxE/BHXrtcpCm37zpgDWDSQpJUFOsWvcT8W75J45J5WUFUwfomqK4mqmtMWkiSJHVjhV72cRnwMDAAWAWMJ7t96WPAkcUJTZIkqL/7OnqO2J6tTv0VUVPL6E/+gJHHXUrP4dsy7PCzyh2eJEmSiqjQpMWewLdTSiuB9UCPlNIjwOnAxcUKTpKkta8+w4BJR1HVsxcQsL6J2pHbM2jyx1g87fpyhydJkqQiKjRpEWQjLCC7g8iY3OOXge07OyhJkl6TiJpeAFTXDaBxxaLscb+hNC5+tZyBSZIkqcgKnYhzJvA2slufPgicERFNwKeAZ4sUmyRJ1AzdmnXzn6dm4Eh6jtqBZf/8DRFVrPjXHfQYNKrc4UmSJKmICh1p8R2y0RYAZ5PdQWQa8C7g80WIS5IkAAbs8yFI2eOBB3yUxmULmPeLs1g9+1EGv/OE8gYnSZKkoipopEVK6Y68x88D4yNiMLA4pZSKFZwkSb23ndDyuGbgSMZ86hqaVi+nqldfImIje0qSJKmrK/TykA2klOo7MxBJkgpV3btfuUOQJElSCXSYtIiIWwttJKV0WOeEI0kSzL/lmwXXHX7k14oYiSRJksppYyMtFpUsCkmS8lT16l/uECRJklQBOkxapJQ+VspAJElqNvQ9p5Y7BEmSJFWAQu8eIkmS1G1ExGciYlZENETEwxGxf4H77RcRjRExs9gxSpKkAifi3NT8Fs5pIUkqlk3Nb+GcFtpcEXEUcDnwGeAfuZ9/joidU0ovbmS/QcCNwN3AmFLEKknSlq7QkRaL2izLgG2AA4CFxQlNkqRsfotWS886GpfMo+GlJ6jq7dwXel1OA25IKV2XUnoqpfQ54FXg05vY73rgJ8D0YgcoSZIyBY206Gh+i4i4mCyBIUlSUXQ0v0X9X39IVc+6Ekejri4iegITgO+12XQnMGkj+30GGAF8GzinaAFKkqRW3uicFtcCn+2MQCRJ2hz9dns3yx+9vdxhqOsZClQD89qUzwNGtrdDRLwV+DrwkZRSU3HDkyRJ+d5o0mLHTolCkqTNtK7+5XKHoC1ARNQCNwNfSinNKnCfEyJiRkTMWLBgQXEDlCSpmyt0Is4r2hYBo4B3Az/q7KAkSWpWf9e1rQtSomlFPatnPUzftx5UnqDUlS0Emsgu9cg3ApjbTv1RwHjgxxHx41xZFRAR0QgcmlK6M3+HlNIUYArAxIkTUyfGLknSFqegpAXw1jbr64EFwBcwaSFJKqK1C2a3Wo8IqnoPYND/foq+u5q00OZJKa2NiIeBg4Bf5206CLilnV3msGE/6DO5+u8HZhchTEmSlFPoRJwHFjsQSZLaM/L/zit3COp+LgFuiogHgfuAk4DRwDUAEXEjQErp2JTSOmBm/s4RMR9Yk1JqVS5JkjpfoSMtAIiI3sB2udXnUkqrOz8kSZI2tH7dGhqXvApAj4GjqKqpLXNE6qpSSjdHxBDgbLLLP2aSXebxQq7K2LIFJ0mSWil0Tota4ALgRKAn2ZwWayJiCnBGSqmheCFKkrZkqXEdi+/5MSv+9RdSUyOkRPSooe/bDmbQ5I8RPXqWO0R1QSmlq4GrO9g2eRP7fgP4RqcHJUmSNlDoSIsfAO8CPglMz5XtA5wH9AM+3vmhSZIEi+68ioZZjzL4kM9RO2Y8AGvmPMWSv93I+rWrGXroqWWOUJIkScVSaNLig8ARKaWpeWXP567pvAWTFpKkIln1n/sYdvhZ9N5m95aymoEjqa4byILffxdMWkiSJHVbVQXWW0k2e3ZbcwDntZAkFU3U1FLdb8gG5dX9hhA9nNdCkiSpOys0afF94Ou5iTiBlkk5z8ltkySpKPrv8f9Yet8vWL9uTUvZ+nVrWHr/L+k34b1ljEySJEnFVujlIf8DvB2YExH/zpW9Nbd/n4i4tbliSumwzg1RkrQlW/PK0zS8NJM5Vx9HzbBxAKxb8AJpfRNpXQPzb/lmS93hR36tTFFKkiSpGApNWiwkm7si36xOjkWSpA1U9R5A3Q77tirrMWBkmaKRJElSKRWUtEgpfazYgUiS1J6h73GiTUmSpC1VoSMtAIiIbYGdgQQ8lVJ6vihRSZLUxrolc1m38EWIoGbIVtQMdLSFJElSd1dQ0iIi+gPXA0cC618rjluAT6SUlhfYzgHAl4AJwGjgYymlGzaxz1uBK4G9gHrgWuBbKaVUyDElSV3b+jWrWPTny1n1n/shoqW8bodJDHn356mqrStjdJIkSSqmQu8ecjmwK3Ag0Du3vCNXdtlmHK8vMBM4hQJulZpLlkwF5gF75vb7MnDaZhxTktSF1d81hbULZjPi/77L2C/+lrFf/C0jPvxt1i6YTf3d15U7PEmSJBVRoUmLw4BPppT+llJal1vuAU4ADi/0YCmlP6WUzkop/YbXRmxszDFAHXBcSmlmbr8LgNMi8r5ukyR1W6uffYAhh3yOXmPfSlT3IKp70Gvsrgw55GRWP/PPcocnSZKkIio0adEbWNROeT3Qq/PC2cA+wL0ppfxRGXeQXVoyrojHlSRViNS4lqre/Tcor+rVl9S0tgwRSZIkqVQKTVrcB3wrIlouHI6IPsC5wP3FCCxnJNmlIfnm5W1rJSJOiIgZETFjwYIFRQxLklQqtWPGs/Ten7J+XUNL2fq1DSz9x8+pHT2+jJFJkiSp2Aq9e8gXyEY4zImIf+fK3gqsAg4uRmCvR0ppCjAFYOLEiU7UKUndwKB3fJL5v/oac646jprh2wCwbsFsokctwz/0zTJHJ0mSpGIqKGmRUpoZEW8mm2Nip1zxTcDP2ly60dnmAiPalI3I2yZJ6uZ6DhvH6BOmsPKJe1hX/zIAfd5yIH12nkxVTW2Zo5MkSVIxFTrSgpTSKqDU07RPBy6IiF4ppeZxwQcBrwCzSxyLJKlMqmp60W+3Q8odhiRJkkqs4KRFROwBnArsnCt6Crg0pfTIZrTRF9g+t1oFjI2I3YD6lNKLEXEesFdK6R25Oj8Hvg7cEBHfBnYAzgTOTSl5+YckbSHWzH2W5TP+wLpFLwFQM2Qr+k18H7Ujt9/EnpIkSerKCpqIMyKOAR4CRgF/yi0jgAcj4iObcbyJwKO5pTfZRJ6PAs0XJY8CtmuunFJaSjayYjQwA7gKuBi4ZDOOKUnqwlY8MY25N55G04rF9N52Ir23nUjTyiXMvfE0VjwxrdzhSZIkqYgKHWnxHeCclNJ38wsj4ivAt4GfFtJISukeIDay/fh2yh4HDigwTklSN7Pk7zcxcP+PMGCfD7UqXzr9Vyz5+030fcuBZYpMkiRJxVboLU+HAb9qp/zXwPDOC0eSpNbWr15K3U77bVBet9N+rF+1tAwRSZIkqVQKTVpMAya3Uz4Z+FtnBSNJUlu9xu5Kw4uPb1De8OLj1G61SxkikiRJUqkUennIn4HzImIi8M9c2f8ARwDfiIgjmiumlH7buSFKkrZkvbedwJK//YS1c5+hdnR21+01rzzNqv9OZ+C+R7PqP/e31K3bcVK5wpQkSVIRFJq0+H7u5wm5Jd+VeY8TUP1Gg5IkqVn91GsBWPHYHax47I422655bSWCrU+/tZShSZIkqcgKSlqklAq9jESSpE619Rl/LHcIkiRJKhOTEZIkSZIkqSKZtJAkSZIkSRXJpIUkSZIkSapIJi0kSZIkSVJFMmkhSZIkSZIqUqG3PG0REW8BJpPd2vQfKaVHOjsoSZLas3bBC6x56XHS+vXUvmlnakduX+6QJEmSVESbNdIiIk4EpgFvB/4XuCciTi9GYJIk5Vv+2J+Z98uzaHhxJg0v/pt5v/gKSx/4TbnDkiRJUhFtdKRFRAxLKS3IK/o8sGtKaW5u+/7ALcCFxQtRkrQlalq1lOq6AS3ry2f8kdEfu5LqvoMAaHhpJgt+fx4D9v5AuUKUJElSkW1qpMWDEXF83voqYKe89Z2BZZ0dlCRJr954Gisev6tlPWpqWVf/Usv6ukUvUdWzrhyhSZIkqUQ2NafFfsCVEfFR4FNkIy1+HRE1uX0bgY8WN0RJ0pZo5DEXUD/1GlY+8VcGH/J5Br/zBBb8/nzS+iZY3wRV1Qx972nlDlOSJElFtNGkRUppDvD+iDgSmApcB+wAbEc2SuM/KaWGokcpSdri9Og3lOFHnM3K/9zH/JvPpu/bDmb0CdfSuGQupPXUDH4T0aNnucOUJElSERV095CU0i0RMZVs7or7gBNSSg8VNTJJkoA+O+5L73G7s/ieHzH3p6cz5JCTqR21Q7nDkqSCjTvz9nKH0K3NPv895Q5BUhFtMmkREYcC44F/pZROioj9gB9FxN3AV1NKK4sdpCRpy7T6uYdYt+glaoZvy5CDT6bh5SdY9KfL6bX12xh4wLFU9exV7hAlSZJURBudiDMiLgZ+DOwJXBsR56SU/gFMAJYCj+aSGpIkdar6v/6QhX+6nDWvPkP9HVey5L5f0OtNb2HU8ZdRVduHV2/4PKufc9CfJElSd7apu4ccDxyaUvowWeLiowAppbUppa8DhwNfKWqEkqQt0srH72b4B7/BsPedwchjL2XlE9MAiOoaBu5/DMOOOJul//x1maOUJElSSvVROAAAIABJREFUMW3q8pCVwDbAw8BWQKtJN1NKTwL7Fyc0SdKWLGp60bhkLrUjt6dp+YINJt3sOXQsI4+5sEzRSZKkSuP8McVTzrljNpW0+ApwY0RcAdQBxxU/JEmSYODbj2XR7Zey+O4prF+3hqHv+UK5Q5IkSVKJbeqWpz+LiL8A2wLPpJSWlCYsSdKWru9bDqT3thNoXDKXmkGjqerVt9whSZIkqcQ2efeQlNIiYFEJYpEkqZXq3v2p7t2/3GFIkiSpTDY1EackSVK3ExGfiYhZEdEQEQ9HRIdzdEXEERFxZ0QsiIjlEfFARBxWynglSdpSmbSQJElblIg4Crgc+C6wO3A/8OeIGNvBLm8H/gq8J1f/T8DvNpbokCRJnWOTl4dIkiR1M6cBN6SUrsutfy4iDgE+TTu3ck8pndKm6NyIeA/Zrd/vLWqkkiRt4RxpIUmSthgR0ROYANzZZtOdwKTNaKofsLiz4pIkSe0zaSFJkrYkQ4FqYF6b8nnAyEIaiIjPAm8Cburc0CRJUlsmLSRJkgoUEUcCFwFHp5Re6KDOCRExIyJmLFiwoLQBSpLUzZi0kCRJW5KFQBMwok35CGDuxnaMiA+Qja44NqX0x47qpZSmpJQmppQmDhs27I3GK0nSFs2khSRJ2mKklNYCDwMHtdl0ENldRNoVER8iS1gcn1L6TfEilCRJ+bx7iCRJ2tJcAtwUEQ8C9wEnAaOBawAi4kaAlNKxufUPkyUsvgT8PSKa575Ym1KqL3HskiRtUUxaSJKkLUpK6eaIGAKcDYwCZgKH5s1RMbbNLieR9Zkuyy3N/gZMLm60kiRt2Up+eUhEfCYiZkVEQ0Q8HBH7b6Tu5IhI7Sw7lTJmSZLUvaSUrk4pjUsp1aaUJqSU/p63bXJKaXKb9Whnmdxe25IkqfOUNGkREUcBlwPfBXYnu3b0zxHR9huNtt5C9k1I8/JMMeOUJEmSJEnlV+rLQ04DbkgpXZdb/1xEHAJ8GvjKRvabn1JaWPToJEmSKty4M28vdwjd1uzz31PuECRJbZRspEVE9AQmAHe22XQnMGkTu8+IiFcj4u6IOLAoAUqSJEmSpIpSystDhgLVwLw25fOAkRtWB+BVslEYRwJHAP8B7u5oHoyIOCEiZkTEjAULFnRO1JIkSZIkqSwq+u4hKaX/kCUqmk2PiHHAl4F726k/BZgCMHHixFSCECVJkiRJUpGUcqTFQqAJGNGmfAQwdzPaeQB4c2cFJUmSJEmSKlPJkhYppbXAw8BBbTYdRHYXkULtRnbZiCRJkiRJ6sZKfXnIJcBNEfEgcB9wEjAauAYgIm4ESCkdm1s/FZgNPAH0BD4CHE42x4UkSZIkSerGSpq0SCndHBFDgLOBUcBM4NCU0gu5KmPb7NITuAh4E7CaLHnxnpTSn0oUsiRJkiRJKpOST8SZUroauLqDbZPbrF8IXFiCsCRJkiRJUoUp5USckiRJkiRJBTNpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRSp50iIiPhMRsyKiISIejoj9N1H/7bl6DRHxfEScVKpYJUlS92R/RJKkrqGkSYuIOAq4HPgusDtwP/DniBjbQf1tgD/l6u0OnAd8PyKOLE3EkiSpu7E/IklS11HqkRanATeklK5LKT2VUvoc8Crw6Q7qnwS8klL6XK7+dcBPgC+VKF5JktT92B+RJKmLKFnSIiJ6AhOAO9tsuhOY1MFu+7RT/w5gYkTUdG6EkiSpu7M/IklS11LKkRZDgWpgXpvyecDIDvYZ2UH9Hrn2JEmSNof9EUmSupAe5Q6gM0XECcAJudUVEfGfcsZTAYYCC8sdRKHignJHUBE8Z12P56xr6jLnrUjnbOuitCrA/kg7tvTXW1fUZc4ZeN5yPGddj+eswP5IKZMWC4EmYESb8hHA3A72mdtB/UbaOcEppSnAlDcWZvcRETNSShPLHYcK5znrejxnXZPnbYtmf6TEfL11PZ6zrsdz1vV4zgpXsstDUkprgYeBg9psOohsNu72TO+g/oyU0rrOjVCSJHV39kckSepaSn33kEuA4yPikxExPiIuB0YD1wBExI0RcWNe/WuAMRFxWa7+J4Hjge+VOG5JktR92B+RJKmLKOmcFimlmyNiCHA2MAqYCRyaUnohV2Vsm/qzIuJQ4FKy25C9Anw+pXRLCcPuyhya2vV4zroez1nX5HnbgtkfKTlfb12P56zr8Zx1PZ6zAkVKqdwxSJIkSZIkbaDUl4dIkiRJkiQVxKRFNxQR4yIiRUTRZ6ONiNsi4oZiH2dLFhE3RMRtJTjOxNzzZlyxj9Xd+Jrrmkp53qQtke+N3Yv9kcrna65rsj+yaSYtSiz3hp/aWf5Z7ti2dHnn5pw25ZNz5UM3oy3ffMokIoZFxNURMTsi1kTEvIi4OyLazvz/etu/JyKu7Iy2VJiIODEiVkZEz7yynhGxKiJmtqm7fe61947SRyp1HfZHKpf9ke7B/kj3Y3+kfExalMddZBN/5S+HljUiNWsAvhwRw4p9oIioKfYxtlC3AHsBnwB2AN4L/BkYUs6g9IZMA+rIzmuzvYGlwJvbvF4PBNYA95UuPKnLsj9SueyPdH32R7of+yNlYtKiPNaklOa2WeoBchm5EyLi17lM3vMR8ZH8nSNi74h4JCIaIuLRiDg0t9/k9g4WEdURcX1EzIqI1RHxTEScHhFVeXVuyA3zOiUi5kTE4oj4cUTU5dWpy9VbkcsWn1Wkv085TQNmA+dsot5myfum4/8i4q8RsRo4MbdtUkT8LZelnRMRP4iI/htp65CIuDd3juoj4o6IGN/OsY6MiKm5dp9sm9nPtfN07nl0L9kHapcWEQOB/YEzU0p3p5ReSCk9lFL6Xkrpl7k6PSPiuxHxQu6bj+cj4vN5bRwQEQ/k/i7zIuLS5ox6ZMMg3w58Nu9byXHtxOFrrhOllP5LdreGA/OKDwTuBmYAk9uUT08pNUTERyLioYhYHhHzc++rYzZ2rIjYOSJuz9vnFxExMm/7WyP7pmxZ7rz8KyIO3FibUgWzP1K57I90YfZHuif7I+Vj0qIyfQ34A/A24GbgRxExFiAi+gK3AU8DE4DTgYs20V4VMAf4EDAe+CpwFvCxNvX2B3YB3gkcBbwfOCVv+/eAg4AjgXcAuwMHvJ5fsIKtB84EToqI7YrQ/nnA1cDOwO8j4q3AncCtZOf7CGA34EcbaaMPcBlZlncyWXb3j5E3VC3nO8AVuXYfAn6Ze/4QEVsBvwem5o73feDCN/7rld2K3HJYRPTqoM5PgGOB08heD58AlgDkPkD+DDxK9vz+BPB/ZOcNstfDdODHvPat5EvtHMPXXOebxoadhHtyS3755FxdgJ7A18leA+8FhgK/6OgAETEK+DvZ7S/3IjsvfYE/5HXwfg68mtu+G/ANsm9Epe7I/kj52B/p2uyPdF/2R8ohpeRSwgW4AWjktTez5uWC3PYEnJdXvwewCvhIbv1EoB7onVfn6Nx+k3Pr43LrEzcSx/nAXW3iegmoziu7rrkO2QtlDXBM3va+ZG+uN5T779qJ5+a23ONpwC9zjyfn/p5DN6OtVucgb/2LberdCFzfpmy3XN3hbePq4Fh9gCZgvzbHOjGvzphcWXOd7wL/JXfb41zZ2bk648p9Lt7geTwy9xppIPtA/x6wd27bm3O/4yEd7Psd4BmgKq/s+Nxzvy63fg9w5cbOdwdt+5p7Y+f1E8BqoBbolTu/2wPvAp7K1dkp/3neThvN29/U3nkDvgnc3WafQbk6e+XWlwHHlfvv4eLyRhfsj1Tsgv0R+yP2Ryp2wf5IWZYeqBz+DpzQpmxJ3uN/Nz9IKTVGxAJgeK5oJ2BmSml1Xv0HNnXAiDgJ+CSwNdAbqAFeaFPtyZRSU976K2TXaQFsR5YlnJ4X24qIeHxTx+6izgCmR8SmvjXaXDParE8Ato+Io/LKIvdzO2B+2wZy37h8i+zcDCPLolcBY9tU/Xfe41dyP5ufR+OBf6bcu17OdLqBlNItEXE72bcG+wCHAF+MiK8Cz5J9ezWtg92b/y7r88r+Qfbc357Wf9ON8jXX6f5K1jnYh+w1siCl9GxEvApslxsyeSDZP1UPAETEHmTfbOwGDOa119ZY4OV2jjEBOCAiVrSzbTvgQeAS4IcRcRzZcNBbUkpPd86vKJWc/ZHKZ3+ki7I/0m3ZHykDLw8pj1UppWfbLAvztq9rUz/xBs5V7gPoMrJM6sFkL5iryd6A8nXqcbuylNKDZBModfYQxZVt1quAH5Kdk+blbWQZ+Mc6aOM2ss7BiWQfKLuTfVvW4fnM6wxsEeczpdSQUpqaUvpmSmkScD3ZsLk31GyhFX3Ndb6U0iyyTtbk3PK3XPlK4OG88n+klNZFRB/gDrJOw0eBPck6jLDheWhWBdxO69fjbmSvx9tyx/sGueHUwCTg3xHx8U76NaVSsz9S4eyPdG32R7of+yPl4UiLrudp4LiI6J337cZeG9sB2A94IKXUcluk13F95HNkb2j/Azyfa6MP2fVvz21mW13FWcCTvPbGUgyPAG9JKT1bSOWIGEL27dZnUkrTcmV7sPmv5aeAIyMi8joQ/7OZbXQlT5L9jZ4m+yA4EPhLO/WeAj4UEVV5327sB6zltef5WqB6E8fzNVcc08jOXZANZW52D/C/ZJ2ES3JlO5FdM3pWroNBRByxifYfIbvu94WUUtsOXIuU0jNkw3aviIgfkH2DtbHrvqXuyP5I6dgf6T7sj3QP9kdKzAxaedRGxMg2S6G3tPo52fWC1+VmlX0n2YcZdJx5/S+wR0S8OyLeHNl9v9++OQGnlFaQZYcviIiDIuItZC+KTb1Zdlm5D+4ptJ6ICIDIZrk+uRMOcwGwV0RcExG7R3ZP5/dGxLUd1F8MLAQ+lav7duAasm82Nsc1ZNfPXRYRO0bEB4CTXufvUDEiYkhks6F/JCJ2jYhtIuKDZBPE3Z1S+jfwK7LhdEfmtu8fER/NNXE1MBq4OiLGR8R7yK79vDKltCpXZzbZORsXEUPzJkTK52uuOKaRdZr2JusYNPsb8GGy4cbNQ21fJLsG9+SI2DZ3Lr+1ifavAgYAN0d2V4RtI+KdETElIvpFRO+IuCoiJufO/95kHcInO+03lErL/kgXYH+k67E/0u3ZHykxkxbl8U6y2V7zl0cL2TGltBz4f8BbcvtcxGvDzDqaMfZasjfGn5PN2jwOuPh1xP0lshfg73I/Z5JdD9udfZP2P4B3JMuaviG5D60DyM7J34B/kc0MPa+D+uvJZnXelezvfxXZ7dDWbOZxXySbGfyQ3DG/QDZLeVe3AvgnWcfub8ATZJN8/Zzs7wbZTN0/J5vJ/GmyIZMDAFJKc4B3kw1xfYzsQ/kXvNYRh2wirbVkHwwL2PDaXfA1VyzTyIZSzm/zbeA/yK7TXUY2NJOU0gLgOOBwsnP1dbIZ2juUUnoF2JfsOuO/kD1/riJ7fa0h+wdtENlz5j9k52X6ptqVKpj9ka7D/kjXYn+ke7M/UmLRet4bdUUR8T6yJ+vwNteiSpIklYT9EUlSMTinRRcU2Syxz5PdnmgXsgl2/mgHQZIklYr9EUlSKZi06JpGAOcCo4C5ZLPLnlHWiCRJ0pbG/ogkqei8PESSJEmSJFUkJ+KUJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kKSJEmSJFUkkxaSJEmSJKkimbSQJEmSJEkVyaSFJEmSJEmqSCYtJEmSJElSRTJpIUmSJEmSKpJJC0mSJEmSVJFMWkiSJEmSpIpk0kJqR0QcHxErOrnNeyLiys5sszNExAkR8WJErI+Ib5Q7nq4oIm6LiBs2Ued9EfFMRDRGxA0RMTkiUkQMLfAYKSI+8EbrSJK6jtznxW0lOE5B/Z5K+pyJiKG5eCaX6fjjcsefuBn7fCMiZhYzrgLj6PR+7usVEbMj4kubUX+Tr4nXc25U2UxaqEuLiD0ioiki7uvkpm8Gtu3kNlvZ3DfpIsUwCLgKuAgYA3yvjLFs1j/xXdD1wC3A1sApwP3AKGBRJx5jFPDHTmxPkipeR//ERMTE3OfKuNJH1bVVyj/XFe4lss/dx8odSFewkefUnsDVm9HUKcBH8tpt70tBz00306PcAUhv0CfJ3uiOjYjxKaWn3miDEVGTUloNrH7D0ZVARFQBkVJqeh27b032PnBbSunVNxBDz5TS2te7f6Ueq7NExEBgCHBHSmlO3qa5nXmclFKntidJktqX63d1uc/diKgpdwz5UkoLNrP+0gLqdMlzo4450kJdVkT0/v/s3Xu8tfWc//HXu2IqYZjSAXc3hVCJbjl2mjQO/TTIjCGjcohhnJqQY0pJKDlTM0QKoxiaIibKqcFNVMqx7uhcahwqnXx+f1zXrtXaa+993fdea+/dXq/n47Eee63vdfqstQ/XZ3+u7/d7Ac8BjgSOB14wYJ1HJflRkj8nOTPJU3q7EvZc3X9Kku8nuRF44qBuc+0630tyfZLfJTkxyZrtskm9JqYbDpLkNJqCwbva41fbPui4t+uBMLFOG885wI3Ag9tleyU5t32/v0jy6raoMSiGPYEz25fn916NSvLiJL9KcmP79UV921aSlyX5fJJrgbe37Q9JclKSPya5Ismnk2zQs90WSU5N8of2PfwkyY7tcb/RrnZlu/+jez7HDyd5d5Irge8k+Vj/VbUkq6UZ5rLPFO939ST/keSC9nv4yySv7f18Jq7WJXllkouTXJPk40nW7lln7Xa9PyW5PMkbBh2vZ/0dgGval1+f+Pkb8H29e5Jj2s/tz0nOT/Kqvt3dM8nnklzbLn9u37Fu7bab27pG7pbka0mua382du7bZpckP2+P+c0k/xSvTEpahPr/7rZtt+tG3rPOk5P8sD1ffCvJfZJs3563/tSeK/6mZz+PTPLVJFe157hvJ3lM3/ErzZDMKf+OTxP7dOeltOezX7fxnj3g/PCO9m/99WlylnemzWEGHGtPYH/goW3M1bZNmPZcNGB/Q/ls2v38sD1fnQk8qsPntl2S/22/Z79Pk+tt3rP8Ge3ndUOS3yZ5Y5L0LL9zkrcnubBd5/wkr2iX9f/szJhndIj3M0k+0vP6oPYYj+5p++3EZ5Mm93lz23ZD+17+vmfdiRifneTrSa4HXjzguPdI8p0kpyS5yxSxPan9XbgmydXtug/uW2ejJMemyZOvS/LjNHnenkzxM5WeHDrJcUlO6Nvnau3726d9fWvPqjS54vbAy3r2u7T/e9Ouu0o56vTfMc0Vixa6I3smcGFVnQ0cQ9Pb4tbqcZJ1gP8GfgZsDbyWZhjEIIcCbwI2A77XvzDJk4AvAV9r97UjcDqr/jv0DOAi4ECa7msbruT2awJvpjnxPAS4ME1h4e3AW2iKGP8GvA546RT7+CzwpPb5Nm0Mv03ydOADwBHA5sB7gQ8leWrf9vsDJwNbAB9MsiHwTeCcdn9PANYBvthzwj4OuLRdvhXwVuDPNN34dmvXeWgbyyt7jvVcIMC2wPOAo4AntcecsDOwAc3PwiCrARcD/9h+Pm8E3gDs1bfetu37fgLwLODpfbG8uz3WbsBOwMOB7aY4JjTDQB7aPt+tfW/fHbDeQTSf5f8DHgQ8v42311uALwIPo/n+fSzJkmmODXAw8L52mx8An2l/N2i3/TxwUrv8fcA7Z9ifJI2DA4BX0fxjfA+av7lvAfYGdqD5u/7WnvXvSnP+2ZbmHPdj4OT0FDZaq/J3fKbz0kE0F25eRpMTHAJ8NMkuPetcS3NeeTBNXvBPNOfBQT4LHAb8nNtylM/O4j3M+rNpz1snAecDy4D9mGFIa5I12v19u93no2hym1va5VsDn6M5D27R7vP1wL/27OYTNHnHPjSf3QuA/5vikF3zjOmcRvPzNWEH4KqJtiSbAvdp14Pm5+A1NPneFsAXgM8n2apvv4fQ9Ex+CPBfvQuSbESTv10EPLWqrp0itrvQfH7btPH8HjgxyZ3b/dyFJjdeCjytjefAdtuZfqYmfArYJcnde9q2b9f/9ID1XwmcAXy8Z7+/7V9pljmqFoKq8uHjDvmg+YO9b/s8wArgmT3LXwxcDazV0/YcoIAd2tc7tK9369v3nsCfel5/B/jMNLGsmIilL74PTPN60Da3O25fjOv2rFPA1n3r/Qb45762VwHnThP3snZfS/ve68f61jsa+HbP6wLe37fOgcCpfW33aNfdpn39B2CPKWK53fvs+9zOGrD+OcB+Pa8/Cxy/kj9D7wD+p+99/hZYvaftqIl1aE5wNwC79yxfhyaBOXqa46zb+3M3xff1S/2fe98+Cjik5/UawHXAc/vWeWb7fGn7+sU9y+/dtj2+fX0IcF7fcd7Q/zPhw4cPHwv50f7tvhn4U9/jut6/Z4POMz1/K5f1rfPEnnX+tW17RE/bW4FzpokpNP8A9f+Nnvbv+BTvbbrz0l1ohrNu27fdEcDJ0+z3JcCvel7vye3znoHvb1XewzA+G5pi0f8B6/Ss81z6zq19x7lnu3z7KZYfC3y9r+2twEXt8we02z9piu1v97MzxTr9ecZMPzebtfvcEFibJud4Hc3wUmiGRfd+3y4G3tK3j9OAT/XF+G996+xJ8zuyKXAB8BFgtZX8vbsLTQFoIqd4EfBH+vK4Dj9TK7gtn18DuBx4Qc/yfwe+2vc78d997/cDffu83feGWeaoPub/YU8L3SG1lebH01RFqeavzbHcfojIZjR/HHvnppjUi6K1fIZDPhw4ddWiHYmb6ZlcKMl6wH1prqz8aeJBc7LcZCX3/WCawkWvb9NU53v1f2ZbA9v1HX+i2j0Rw+HAv7ddFN+YZLOOMf1wQNtRtFcvktwT+HuayS6nlOQlSZYnubKN79VA/9Whc+v284NcAtyr533cmaaqD0BV/Qk4u+P7mM6HgWe13RHfnWT7Aeuc1XPcm4Ere2Kbylk9zy9pv05ssxlN74teU/2OSNJC9k2aq6O9j+fMYn+9fzsvb7+e3dd269/fJPdK8tE0QzN/T/PP272YfI5Zlb/j052XHkLT+/Irfefff6Hn/J/kmWmGZVzWLn/PgNi6Wqn3MKTP5sE0FzB6h9CewTSq6mqaf3BPaYcF7NPXI2SqfOfeSe5Gk/v9hduGr86oY54xXcw/o5mLYQfgscCvaS7KPK7tTbwDbS+LNsaNpngPM+Vs0OQz36Ypbr2kqv4yw3vbpB2+8eskf6D5HVit5/09nOZ7dNXM73Sw9vv+WWD39ph/RdNL9VOrus/WKHNUzQEn4tQd1QuB1YHfpGfoIUCS+1bVpK5hM5iqK1xXf5k4fo9Vmeio635u6EtgJgqQL2Hw0INhqL7X/Z/ZajRdNwfdEeVygKp6a5JjgScDTwT2T/KSqvrYDMce9P05Bjg0yeNpTpRXAqdMtYMkz6K58rQvzWf0B5qutE/vW/WmvtfFHAylq6ovJ9mY5rPZCTgpyeeqqrdb6arEdus2VVXt74sFa0mLzXVV9avehjSTIPea+Kes9zw71bm69+9t0xWgqr+t92/pJ4D1af5JXUFzhfxUmn8Mp9rvoP3MFEv/NhNfn0rT43LSdmnmQ/gMzZCXV9P0WNiVVb9j2Mq+h1F+NtOqqr2SHEEzHHZX4OAkT6uqKfOFnmOvlJXIM2ZyOs0w5CuAb1TViiRX0dxlY3uaISwzmSlng+bz/irwlCQbV9WFM+zzv2mGkLyYpofHzcC5TP4+ztangDOS3JtmSM+daYbwzMYoc1TNARNX3eG0YxT3oPmj3XtF5WE0VfqJf/J+BmyeZsLOCdus4mHPpPlHcipX0jMvRZrJrWaq0N5IU3jp38/abfV8Qv+4xEmq6nKaKy+bVNWv+h8zbd/nPOBxfW2PpzkxTedHNGN8LxwQwx97Yv1lVb2vqnah6RnxwnbRxB1B+j+TgdorKJ+nGaP7fOATM1wleDzwvar6QFX9qP1cVrYXyq9pTvK9E2LdhWas8axV1VVVdUxV7UnTa2iP9irDqPyMZohQr1X9HZGkhW7iLgW98yHNeI7t6PE0wyZPqqqf0vQmWNn5qlbFuTRFgI0HnHsn/gl9HHBxVb2tqn5QVb+kmQx8OoNylFU1jM/mPGCL3H6SyEdPtXKvqvpJVR1aVTvQ9FLYo2efg/Kdi9q85cc0/yt1nYxxGHkGbYw70tOrov36Inrms6iqP9DkfquSs0FT2NiTprfFN6abl6Sdf2Qz4O1V9T/V3K3vrtz+AviZwJaZ+tb1nX6mqur7wK+AZ9P0uPhiXw9ZVpezAAAgAElEQVSbVdnvbHNUzTOLFroj2oVmjoCjquqc3gfNlYS90lxOPo5mrN1RaWYMfgLNeH1Y+Qr6wcA/pJnF+SFJHprmzhwTs3d/Hdg9zazjDwU+xsw9mVYA2ya5d88f+O/RVMMPSbJpkt2YeiLNfvsDr23jelCSzZM8L0mXinyvdwH/nObuIA9I8nKak8ZMEzR+ELg78Nk0d225f5InJDkyyV2TrJXkg+1ntDTJo7j9ifVCmu/LLknWSztZ5AyOamN7GM1nPp1fAI9IMyP8A5K8meaKRWftSfM/aHp47NzzvZ51YpfkwCRPa2N7MM1kredX1Q2z3fc0PgJs0g5HeVCSZ3DbrOIrfZVJkha4X9F0CX9rkgcm+TuaSbiH4RfAc9sc4ZE0+cjIb8/d/sP1buDdSZ7f5g5btcMU9u6J7d5Jdm/Pzf9C8w/hdFYAGyd5RJJ1Z1lAH8ZncxzNlf2PtTnYzkw9kSgASe6X5q4pj02ycZo7QWzJbXnHYcD2SSZ+HnanmcT8nQBV9QvgP2mGDOzW7m/bJP88zfucVZ7ROo1mroltuH3R4rnAr6vqop513wXsm+buIA9MciDNhKedetG0F3v2oOkZcto0hYtraCYEfVH7M7Y9TQ5xc886x9H0Dvli+zndP8muue0OHCvo/jN1LE3BYBdmHhqyAtimzS3XzeC7tcw2R9U8s2ihO6IX0HSX+92AZZ+jmXxn5/ZE/lSayuqZNH/Y39qut1KzAVfVyTTd+57c7mui697Elf1DaAoXX6Tpavdtbrud6FTeQjMPxa9pr/60vQd2p7k7xdk0E0+9uWOM/07T4+CfgZ8A32q3v6DL9j37+S/g5TTdOM+lmZn5pVV14gzbTVT7/wJ8BfgpzUnihvZxC82kR0fTzB79BZrxqPu0219MU3g5mKar3sDbxfY5jaar4mlVdf4M636UJvk4jmYeh6U0CcvK2pdmfOsX2q/n0Iylnq0baN77T2jGp96V5ud3ZNqrcLvRdJn9Cc33/IB2sTNmS1pU2uEd/wTcn+Zv3gHcdjFjtp5PMzHzD2n+Kf8YzT9Tc+HNNPnNvjTn3q/R/G2/AKA9f7+LZujCWTQ5xltm2OcJNHcIO5UmR5mpyDGdWX827UWD/0czOeaPaP4pf90Mm10HPJAmN/wFzTCVY2nuGEdV/Qj4B5rP6hyaecDewe3zj+fR5A3vo+mdeDTNP7+DDCXP6JnX4hdVNdE76DSai2Gn9a3+Pprv7Tvb9/B0msnlf7ISx+stXAzscdGu8yyaos85NPndm2lyl4l1rqUp0lwEnNiudwC3XQRZmZ+pT9HcSe33NHn1dN5NUwQ7t93voPhnlaNq/qWZv1AaD2nuXf0F4F6zmShIC0M79Odi4OVVdex8x7MYJHklzSzbf12eICRJkjTPnIhTi1qSPWju6f1bmnkHjgBOtGBxx9Z2/VuXphfI9TRXNrQKkryM5orQlTTjg99Mc/tWCxaSJEmadxYttNitT9M1bUOarnYnMXN3Qi18S2i6vV4E7NU3o7tWzqY03aP/hubz/AhNTwtJkiRp3jk8RJIkSZIkLUhOxClJkiRJkhYkixaSJEmSJGlBWrRzWqy77rq1dOnS+Q5DkqQF54c//OFVVbXefMcxDsxHJEkarGs+smiLFkuXLmX58uXzHYYkSQtOkgvnO4ZxYT4iSdJgXfMRh4dIkiRJkqQFyaKFJEmSJElakCxaSJIkSZKkBcmihSRJkiRJWpAsWkiSJEmSpAXJooUkSZIkSVqQLFpIkiRJkqQFyaKFJEmSJElakCxaSJIkSZKkBcmihSRJkiRJWpAsWkiSJEmSpAXJooUkSZIkSVqQLFpIkiRJkqQFyaKFJEmSJElakCxaSJIkSZKkBcmihSRJkiRJWpDWmO8ApFFaut9J8x3CorbiHbvMdwiSJElDZw45WuaQWhn2tJAkSZIkSQuSRQtJkiRJkrQgWbSQJEmSJEkLkkULSZIkSZK0IFm0kCRJkiRJC5JFC0mSJEmStCBZtJAkSZIkSQuSRQtJkiRJkrQgWbSQJEmSJEkLkkULSZIkSZK0IFm0kCRJkiRJC9Ia8x2AJEmSJEmztXS/k+Y7hEVrxTt2mbdj29NCkiRJkiQtSBYtJEmSJEnSgmTRQpIkSZIkLUgWLSRJkiRJ0oJk0UKSJEmSJC1IFi0kSZIkSdKC5C1PJUnSopFkO2BfYGtgI2Cvqjp6inU/CuwNvKaq3j3DfrcHDgceClwCvLOqPjLE0LWIeRvG0ZrPWzFKGj17WkiSpMVkHeAc4JXA9VOtlOSZwDY0BYhpJbkfcDLwXeDhwCHA+5PsNoyAJUnS1OxpIUmSFo2qOpmmwECSowetk2Rj4L3AE4Avd9jtS4BLqurl7evzkjyKpkfHCbONWZIkTc2eFpIkaWwkWQP4NHBQVZ3XcbPHAF/tazsFWJbkTsOMT5Ik3Z5FC0mSNE4OAK6qqg+vxDYbAJf3tV1O02N13WEFJkmSJnN4iCRJGgtJdgD2BLYa8XH2ppngkyVLlozyUJIkLXr2tJAkSeNiB2BD4NIkNye5GdgYODTJRdNsdxmwfl/b+sDNwFX9K1fVkVW1rKqWrbfeesOJXJKkMWVPC0mSNC4+BBzf13YKzRwXR02z3RnA0/vadgaWV9VNwwtPkiT1s2ghSZIWjSTrAJu2L1cDliTZCri6qn4DXNG3/k3AZVX18562TwJU1fPapo8A/5rkCOCjwONohpk8e4RvRZIk4fAQSZK0uCwDzmwfa9FMvHkmcOBK7GNJ+wCgqi4AngJsB/wYeCPwiqrydqeSJI2YPS0kSdKiUVWnAVmJ9ZcOaNthQNvpwCNmEZokSVoF9rSQJEmSJEkLkkULSZIkSZK0IFm0kCRJkiRJC5JFC0mSJEmStCBZtJAkSZIkSQvSnBUtkrw+yQ+S/CHJlUlOTLJ5h+22SHJ6kuuTXJzkLUk6zwouSZIkSZLumOayp8UOwIeAxwJ/C9wM/E+Se061QZK7AV8DLgceCbwSeA2wz6iDlSRJkiRJ82uNuTpQVT2x93WSfwZ+DzwOOHGKzXYH1gb2qKrrgXOSbAbsk+TwqqpRxixJkiRJkubPfM5pcdf2+NdMs85jgG+1BYsJpwAbAUtHF5okSZIkSZpv81m0eC/wY+CMadbZgGZoSK/Le5bdTpK9kyxPsvzKK68cTpSSJEmSJGlezNnwkF5JDgceDzy+qm4Z1n6r6kjgSIBly5Y5dES6g1q630nzHcKiteIdu8x3CJIkSVJnc160SPIe4J+AHavq/BlWvwxYv69t/Z5lkiRJkiRpkZrT4SFJ3gs8G/jbqvpZh03OALZNsmZP287AJcCK4UcoSZIkSZIWihmLFknulOSyJA+dzYGSfBDYC3gOcE2SDdrHOj3rHJLk1J7NjgOuA45OsnmSZwD7Ad45RJKkRWJYuYYkSVp8ZixaVNVNwE3AbIsEL6W5Y8ipwKU9j3171tkQ2KTn2L+n6VmxEbAc+CBwGHD4LGORJEkLxBBzDUmStMh0ndPi/cDrk+xVVTevyoGqKh3W2XNA29nAdqtyTEmSdIcx61xDkiQtPl2LFtsC2wMXJzkHuLZ3YVXtOuzAJEnSWDHXkCRJk3QtWlwFnDDKQCRJ0lgz15AkSZN0KlpU1V6jDkSSJI0vcw1JkjRI154WACS5P/AQmomyzquq80cSlSRJGkvmGpIkqVenokWSuwH/AewG/OW25pwAvKCq/jii+CRJ0hgw15AkSYPMeMvT1nuBLYEdgbXax05t2xGjCU2SJI0Rcw1JkjRJ16LFrsALq+r0qrqpfZwG7A08bWTRSZKkcWGuIUmSJulatFgL+N2A9quBNYcXjiRJGlPmGpIkaZKuRYvvAG9LsvZEQ5K7AAcA3x1FYJIkaayYa0iSpEm63j1kH+ArwMVJzmrbtgCuA544isAkSdJYMdeQJEmTdCpaVNXZSR4A7A5s1jYfAxxbVdePKjhJkjQezDUkSdIgXW95uh3w3ao6qq99jSTbVdU3RxKdJEkaC+YakiRpkK5zWnwDuOeA9ru3yyRJkmbDXEOSJE3StWgRoAa0/w1w7fDCkSRJY8pcQ5IkTTLt8JAkX2qfFvCpJDf0LF4d2Bxn9JYkSavIXEOSJE1npjktJu6XHuAaoHcirBuBbwNH9W8kSZLUkbmGJEma0rRFi6raCyDJCuBdVXXdXAQlSZLGg7mGJEmaTqe7hwDHA5sCZ/U2JtkSuLmqzh12YJIkaayYa3S0dL+T5juERWvFO3aZ7xAkSX26TsR5JM2Y0n4PaZdJkiTNhrmGJEmapGvRYkvg+wPafwBsMbxwJEnSmDLXkCRJk3QtWtxCc5/0fvegmThLkiRpNsw1JEnSJF2LFqcDb0yy+kRDkjWANwLfHEVgkiRprJhrSJKkSboWLV4LbAv8KskxSY4Bfgk8HnjNqIKTJEljYyi5RpLtknwpycVJKsmePcvulOTQJGcluTbJpUmOS7Kkw363T/LDJH9Ocn6Sl6z8W5QkSSurU9Giqn5OM9b0OOCe7eNY4GFVdd7owpMkSeNgiLnGOsA5wCuB6/uWrQ08Aji4/fr3wH2Br7S9OgZKcj/gZOC7wMOBQ4D3J9ltJeKSJEmroOstT6mqS2m6aEqSJA3dMHKNqjqZpsBAkqP7lv0e2Lm3LcmLgZ8CDwbOnmK3LwEuqaqXt6/PS/IoYF/ghNnEK0mSptd1eAhJtkjygSQnJ9mwbXtakoePLjxJkjQu5inXuFv79Zpp1nkM8NW+tlOAZUnuNJKoJEkS0LFokeTvaG45dm9gJ2CtdtEmwP6jCU2SJI2L+cg1ktwZOAw4saoummbVDYDL+9oup+mxuu6A/e6dZHmS5VdeeeXQ4pUkaRx17WnxNmCfqno6cGNP+2nANsMOSpIkjZ05zTXaOSw+Bfw1sNcw911VR1bVsqpatt566w1z15IkjZ2uc1psTjs+tM/VNBNlSZIkzcac5RptweLTwBbADlX1uxk2uQxYv69tfeBm4KphxiZJkm6va0+Lq2m6a/Z7BDBdd0pJkqQu5iTXaOeg+CzNnUp2rKrLOmx2Bn0TeLavl1fVTcOKTZIkTda1aHEc8K4k9wEKWCPJ9sC7gU+OKjhJkjQ2hpJrJFknyVZJtqLJc5a0r5e0PSw+BzwaeDZQSTZoH2v17OOTSXqP+RHg3kmOSPLgJC8E9mxjkyRJI9S1aPEm4ALgQpr7n58LfB34Ns29ziVJkmZjWLnGMuDM9rEWcED7/EDgPsDfAxsBPwQu7Xk8q2cfS9oHAFV1AfAUYDvgxzS3ZX1FVXm7U0mSRqzTnBZt18fdk7yZppvmasCZVfXLUQYnSZLGw7Byjao6Dcg0q0y3bGIfOwxoO72NS5IkzaGuE3ECUFXnA+cDJNk0yZpV9eeRRCZJksaOuYYkSerVaXhIkrcn2aN9niRfA34BXJrkUaMMUJIkLX7mGpIkaZCuc1rsDvy8ff5kYCuaSaw+CbxjBHFJkqTxYq4hSZIm6To8ZH1uu93YU4D/rKrvJ7kaWD6SyCRJ0jgx15AkSZN07WnxO2Dj9vnfAae2z9egw4RWkiRJMzDXkCRJk3TtaXECcFySXwD3BE5p27cCfjWKwCRJdxxL9ztpvkNYtFa8Y5f5DmGumGtIkqRJuhYt9qG5b/oS4LVVdW3bviHw4VEEJkmSxoq5hiRJmqRT0aKqbgYOG9D+nqFHJEmSxo65hiRJGqTrnBaSJEmSJElzyqKFJEmSJElakCxaSJIkSZKkBcmihSRJkiRJWpBWqWiRZK0kT0iy8cxrS5IkrRxzDUmSBB2LFkmOTvLS9vmdge8DXwV+nuTJI4xPkiSNAXMNSZI0SNeeFk8E/rd9vitwV2AD4K3tQ5IkaTbMNSRJ0iRdixb3AK5onz8JOKGqrgA+AzxkFIFJkqSxYq4hSZIm6Vq0uAzYPMnqNFdC/qdtXwe4aRSBSZKksWKuIUmSJlmj43ofAz4LXALcApzatj8K+NkI4pIkSePFXEOSJE3SqWhRVQcm+SmwBPhcVd3YLroZOHRUwUmSpPFgriFJkgbp2tOCqjphQNsnhhuOJEkaV+YakiSp35RFiyTPAE6sqpva51Oqqs8PPTJJkrSomWtIkqSZTNfT4niaW41d0T6fSgGrDzMoSZI0Fsw1JEnStKYsWlTVaoOeS5IkDYO5hiRJmokJgiRJkiRJWpA6T8SZ5D7AdsC96Ct2VNXhQ45LkiSNGXMNSZLUr1PRIsnuNPdPvxm4kmZs6YQCTCQkSdIqM9eQJEmDdO1pcSBwGPDmqrplhPFIkqTxZK4hSZIm6TqnxfrAv5tESJKkETHXkCRJk3QtWpwMPGqUgUiSpLFmriFJkiaZcnhIkmf0vPwacGiShwJnAzf1rltVnx9NeJIkabEy15AkSTOZbk6L4we0vWFAWwGrDyccSZI0Rsw1JEnStKYsWlRV16EjkiRJK81cQ5IkzaRTspDkeUn+akD7nZM8b/hhSZKkcWKuIUmSBul6hePjwN0HtN+1XSZJkjQb5hqSJGmSrkWL0Iwn7bcE+P3wwpEkSWPKXEOSJE0y3UScJDmbJoEo4PQkN/csXh3YmOYWZZIkSSvNXEOSJE1n2qIFt83qvTlwEvCnnmU3AiuAE4YfliRJGhPmGpIkaUrTFi2q6gCAJCuAz1TVDbM5WJLtgH2BrYGNgL2q6uhp1l8KXDBg0ZOr6iuziUWSJM2/YecakiRpcek0p0VVfWJIScQ6wDnAK4HrV2K7JwEb9jy+PoRYJEnSAjGsXCPJdkm+lOTiJJVkz77lSfLWJJckuT7JaUke2mG/uyU5N8kN7denzzZWSZI0szm9P3pVnVxVb6iq44G/rMSmv6uqy3oeN44qRkmSdIc20wWS1wL/BrwceCRwBfC1JHedaodJHgN8FjgW2Kr9+rkkjxpu6JIkqd+cFi1m4fNJrkjynSTPnO9gJEnSwjTdBZIkAV4FvKOqTqiqc4A9aG6r+pxpdvsq4BtVdXBVnVdVBwOnte2SJGmEFnrR4k80c2D8I/AU4FTgs0meO69RSZKkO6L7ARsAX51oqKrrgW8Cj51mu8f0btM6ZYZtJEnSEMx095B5VVVXAYf1NC1Psi5N185P9a+fZG9gb4AlS5bMSYySJOkOY4P26+V97ZcD955hu0HbbDBgXfMRSZKGqHPRoh23uRNwL/p6aFTVK4Yc13S+B+w1aEFVHQkcCbBs2bKaw5gkSdIsLaBcY1bMRyRJGp5ORYsk+wLvBH4FXAL0noDn+mS8FXDpHB9TkiSN0BzlGpe1X9cHftPTvn7Psqm2W7+vbaZtJEnSEHTtafFK4BVV9YHZHCzJOsCm7cvVgCVJtgKurqrfJDkE2KaqdmrX3wO4CTiTZjKtpwIvA143mzgkSdKCM5RcYwYX0BQadgZ+AJBkTWBb4DXTbHdGu827etp2Br47mjAlSdKErkWLuwEnD+F4y4Bv9Lw+oH18AtgT2BDYpG+bNwEbA7cAvwCeX1WT5rOQJEl3aEPJNTpcIDkCeEOSn9HkFW+imfj7uJ59nAp8v6pe3za9F/hmkv2A/wKeDuwIPH628UqSpOl1LVp8GngS8KHZHKyqTgMyzfI9+15/gqagIUmSFreh5BrMfIHkncBawAeBe9DMlfV3VfXHnm02AX478aKqvpvkn4CDgAOBXwPPqqrvzTJWSZI0g65Fi98CByR5HHAWzZCNW1XV4cMOTJIkjZWh5BodLpAU8Nb2MdU6Swe0HQ8c3yUGSZI0PF2LFi+k6Tr5WCbfk7wAixaSJGk2zDUkSdIknYoWVXW/UQciSZLGl7mGJEkaZLWZV5EkSZIkSZp7U/a0SPI+4PVVdW37fEpV9YqhRyZJkhY1cw1JkjST6YaHbAHcqef5VGp44UiSpDFiriFJkqY1ZdGiqnYc9FySJGkYzDUkSdJMnNNCkiRJkiQtSBYtJEmSJEnSgmTRQpIkSZIkLUgWLSRJkiRJ0oJk0UKSJEmSJC1IU949JMmSrjupqt8MJxxJkjQuzDUkSdJMpixaACvofl/01WcfiiRJGjMrMNeQJEnTmK5o8cie5w8E3gl8BDijbXsM8GLgdaMJTZIkLXLmGpIkaVpTFi2q6ocTz5McDry6qo7vWeXrSX4OvBL49OhClCRJi5G5hiRJmknXiTi3Ac4a0H4WsPXwwpEkSWPKXEOSJE3StWixAnjpgPaXAhcOLRpJkjSuVmCuIUmS+kw3p0WvVwNfSPIk4H/btkcBS4FnjCAuSZI0Xsw1JEnSJJ16WlTVV4AHAJ8H7tY+Pg88sKq+PLrwJEnSODDXkCRJg3TtaUFVXQS8YYSxSJKkMWauIUmS+nWd04IkWyT5QJKTk2zYtj0tycNHF54kSRoX5hqSJKlfp6JFkr8DfgDcG9gJWKtdtAmw/2hCkyRJ48JcQ5IkDdK1p8XbgH2q6unAjT3tp9HcokySJGk2zDUkSdIkXYsWmwMnD2i/Grjn8MKRJEljylxDkiRN0rVocTVNd81+jwAuGl44kiRpTJlrSJKkSboWLY4D3pXkPkABayTZHng38MlRBSdJksaGuYYkSZqka9HiTcAFwIXAOsC5wNeBbwMHjyY0SZI0Rsw1JEnSJGt0WamqbgJ2T/IW4OE0xY4zq+qXowxOkiSNB3MNSZI0SKeiRZKnASdW1a+BX482JEmSNG7MNSRJ0iBdh4ccC1yc5NAkDxxlQJIkaSyZa0iSpEm6Fi02APYHtgfOS/LtJHslucvoQpMkSWPEXEOSJE3SqWhRVX+sqo9W1aOBLYHvAYcAlyY5KsmjRxmkJEla3Mw1JEnSIF17Wtyqqn4KvAc4Ergz8CzgW0m+l2TLIccnSZLGjLmGJEma0LlokeROSf4xyVdobkn2t8BLgPWBjYHzgM+OJEpJkrTomWtIkqR+Xe8e8n7g2UABxwD7VNW5Patcn2Q/4JLhhyhJkhY7cw1JkjRIp6IF8BDgX4HPV9WNU6xzFbDjUKKSJEnjxlxDkiRN0qloUVU7dVjnZuD0WUckSZLGjrmGJEkaZGXmtNgyySeTLE/ygySfSLL5KIOTJEnjw1xDkiT161S0SLIr8CPgvsCXga8AS4Azkzx1dOFJkqRxMFe5RpLVk7wtyQVJ/tx+PSjJtL1Pk2yR5PQk1ye5OMlbkmRYcUmSpMG6zmlxEHBwVe3f25jkwHbZicMOTJIkjZW5yjVeB7wM2AM4G9gS+ARwA/C2QRskuRvwNeCbwCOBzYCPA9cChw0pLkmSNEDX4SEPpJnJu98xwIOGF44kSRpTc5VrPBY4sapOrKoVVfUl4EvAo6bZZndgbWCPqjqnqo4HDgX2sbeFJEmj1bVocQWw9YD2rYHLhxeOJEkaU3OVa3wb2DHJZgBJHgL8LXDyNNs8BvhWVV3f03YKsBGwdIixSZKkPl2HhxwFfDTJpsB327bHAfsC7xpFYJIkaazMVa5xKHBX4Nwkt9DkQgdX1Yem2WYD4KK+tst7ll3QuyDJ3sDeAEuWLBlGzJIkja2VmdPiT8C/cdt4z0uA/YH3jSAuSZI0XuYq13gW8DzgOcBPga2A9ya5oKr+YxgHqKojgSMBli1bVsPYpyRJ46pT0aKqCngP8J4kd23b/jjKwCRJ0viYw1zjXcC7q+oz7euzk2wMvB6YqmhxGbB+X9v6PcskSdKIdJ3T4lZV9UcLFpIkaVRGnGusDdzS13YL0+dEZwDbJlmzp21nmp4gK4YanSRJup0pe1okORvo1KWxqrYcWkSSJGkszFOucSKwX5ILaIaHPBzYB/hkT1yHANtU1U5t03E0w1SOTnIQzZ1O9gMOaHuISJKkEZlueMjxcxaFJEkaR/ORa7ycZs6MDwH3Ai6lmQT0wJ51NgQ2mXhRVb9PsjPwQWA5cA1wGHD4HMUsSdLYmrJoUVUHzGUgkiRpvMxHrtEOO3lV+5hqnT0HtJ0NbDe6yCRJ0iBd7x4CQJJNgAe3L8+rql8PPyRJkjSuzDUkSVKvTkWLJH9DM6P2rsBfbmvOfwPPr6rfjSg+SZI0Bsw1JEnSIF3vHvLvwKbAtsCa7WM74H4040AlSZJmw1xDkiRN0nV4yBOBnarqjJ627yR5MfA/ww9LkiSNGXMNSZI0SdeeFlcC1w5ovw6wu6YkSZotcw1JkjRJ16LFgcARSe490dA+P4zb3yJMkiRpVZhrSJKkSboOD3kVsBRYkeTitu3ewJ+BeyV5xcSKVbXlUCOUJEnjwFxDkiRN0rVocfxIo5AkSePOXEOSJE3SqWhRVQeMOhBJkjS+zDUkSdIgXXta3CrJmvTNhVFV1w0tIkmSNNbMNSRJ0oROE3Em2TjJF5P8gWZm7z/2PSRJklaZuYYkSRqka0+LTwFrAi8HLgdqZBFJkqRxZK4hSZIm6Vq0eDjwyKo6b5TBSJKksWWuIUmSJuk0PAT4CbDeKAORJEljzVxDkiRN0rWnxd7A+5K8DzgHuKl3YVX9ZtiBSZKksWKuIUmSJulatFgNWB/4ArcfY5r29epDjkuSJI0Xcw1JkjRJ16LFJ4ArgNfh5FiSJGn4zDUkSdIkXYsWmwFbVdUvRhmMJEkaW+YakiRpkq4TcX4fuN8oA5EkSWPNXEOSJE3StafFh4EjkhwGnM3kybF+NOzAJEnSWDHXkCRJk3QtWny6/XrkgGVOjiVJkmbLXEOSJE3StWgxlO6aSbYD9gW2BjYC9qqqo2fYZgvgA8A2wNXAR4G3VZUTdEmStHg4NESSJE3SqWhRVRcO6Xjr0Nx7/ZPtY1pJ7gZ8Dfgm8EiaSbo+DlwLHDakmCRJ0jwbYq4hSZIWka4TcZLkyUn+O8m5Se7btr0wyU5d91FVJ1fVG6rqeOAvHTbZHVgb2KOqzmm3OxTYJ0m6HleSJC18w8g1JEnS4tKpaJFkd+A/gV/SdN+8U7todeC1owkNgMcA36qq63vaTqEZWrJ0hMeVJJ7qbQIAACAASURBVElzaB5zDUmStIB17WnxWuBFVfVq4Oae9v8Fthp6VLfZALi8r+3ynmW3k2TvJMuTLL/yyitHGJYkSRqy+co1JEnSAta1aPEA4IwB7X8C7ja8cGanqo6sqmVVtWy99dab73AkSVJ3d4hcQ5Ikza2uRYtLgAcOaN8O+PXwwpnkMmD9vrb1e5ZJkqTFYb5yDUmStIB1LVocCbwvyePa1/dNsgfwTuDDI4mscQawbZI1e9p2pklsVozwuJIkaW7NV64hSZIWsK63PH1nkrvT3H50TeAbwA3Au6vqg10PlmQdYNP25WrAkiRbAVdX1W+SHAJsU1UTs4QfB+wPHJ3kIJorMPsBB1RVdT2uJEla2IaVa0iSpMWlU9ECoKremORg4CE0BYdzq+pPK3m8ZTRJyIQD2scngD2BDYFNeo75+yQ7Ax8ElgPXAIcBh6/kcSVJ0gI3pFxDkiQtIp2LFgBVdR1N8WCVVNVpQKZZvueAtrNpxrNKkqRFbra5hiRJWly6zmkhSZIkSZI0pyxaSJIkSZKkBcmihSRJkiRJWpAsWkiSJEmSpAWp80ScSdYGtgLuRV+xo6o+P+S4JEnSmDHXkCRJ/ToVLZI8Afg08DcDFhew+jCDkiRJ42Uuc40kGwLvAJ4C3BU4H/iXqjp9mm22AD4AbANcDXwUeFtV1bDikiRJk3UdHvJe4CTgPlW1Wt/DgoUkSZqtOck1kvw18B2aW7DvAjwYeDlwxTTb3A34GnA58EjglcBrgH2GFZckSRqs6/CQpcCuVXXJCGORJEnjaylzk2u8Fri0qp7X03bBDNvsDqwN7FFV1wPnJNkM2CfJ4fa2kCRpdLr2tPgO8KBRBiJJksbaXOUaTwO+l+SzSa5I8uMk/5ok02zzGOBbbcFiwinARjTFFkmSNCJde1p8BHh3ko2As4GbehdW1Y+GHZgkSRorc5Vr3B94KfAemnkttgLe3y77wBTbbABc1Nd2ec+ymXpqSJKkVdS1aHF8+/XIAcuciFOSJM3WXOUaqwHLq+r17eszkzwAeBlTFy1WSpK9gb0BlixZMoxdSpI0troWLe430igkSdK4m6tc41Lg3L6282gm15zKZcD6fW3r9yy7nao6krb4smzZMue7kCRpFjoVLarqwlEHIkmSxtcc5hqD5s54IDDd8c8ADk2yZlX9uW3bGbgEWDH0CCVJ0q26TsRJki2TfDLJ8iQ/SPKJJJuPMjhJkjQ+5ijXeA/w6CRvTLJpkn8AXgF8sCeOQ5Kc2rPNccB1wNFJNk/yDGA/wDuHSJI0Yp2KFkl2BX4E3Bf4MvAVYAnNONCnji48SZI0DuYq16iqH9DcQeQfgXOAg4E3Ax/qWW1DYJOebX5P07NiI2A5TYHjMODwYcUlSZIG6zqnxUHAwVW1f29jkgPbZScOOzBJkjRW5izXqKqTgJOmWb7ngLazge2GFYMkSeqm6/CQBwLHDGg/hrm5p7okSVrczDUkSdIkXYsWVwBbD2jfmtvuUy5JkrSqzDUkSdIkXYeHHAV8NMmmwHfbtscB+wLvGkVgkiRprJhrSJKkSVZmTos/Af8GvK1tuwTYH3jfCOKSJEnjxVxDkiRN0qlo0d7O6z3Ae5LctW374ygDkyRJ48NcQ5IkDdK1p8WtTCAkSdIomWtIkqQJUxYtkpwFbF9V1yQ5G6ip1q2qLUcRnCRJWrzMNSRJ0kym62lxAnBDz/MpEwlJkqRVYK4hSZKmNWXRoqoO6Hn+1jmJZoFbut9J8x3CorbiHbvMdwiSpDlkriFJkmayWpeVknw9yV8PaL9bkq8PPyxJkjROzDUkSdIgnYoWwA7AnQe0rwlsO7RoJEnSuNoBcw1JktRn2ruHJHlEz8stk1zd83p14InAxaMITJIkLX7mGpIkaToz3fJ0Oc2kWAV8dcDy64GXDzsoSZI0Nsw1JEnSlGYqWtwPCHA+sA1wZc+yG4ErquqWEcUmSZIWP3MNSZI0pWmLFlV1Yfu069wXkiRJnZlrSJKk6czU0+JWSdaguQKyhL6Jsqrqk0OOS5IkjRlzDUmS1K9T0SLJZsCJ3NaF85Z225uAGwATCUmStMrMNSRJ0iBdu2IeAfwQuDtwHfBgYBnwY2C30YQmSZLGiLmGJEmapOvwkEcC21fVtUn+AqxRVT9K8lrg/cCWI4tQkiSNA3MNSZI0SdeeFqG56gHNrN73bp9fBGw67KAkSdLYMdeQJEmTdO1pcQ7wMJrbkX0feF2SW4AXAb8aUWySJGl8mGtIkqRJuhYtDgbu0j5/E3AS8A3gKuAfRxCXJEkaL+YakiRpkk5Fi6o6pef5+cCDk9wTuKaqalTBSZKk8WCuIUmSBuna02KSqrp6mIFIkiT1MteQJElTFi2SfKnrTqpq1+GEI0mSxoW5hiRJmsl0PS1+N2dRSJKkcWSuIUmSpjVl0aKq9prLQCRJ0ngx15AkSTNZbb4DkCRJkiRJGqTTRJwzjTl1nKkkSZoNcw1JkjRI17uH9I85vRPwMOC+wOeHGpEkSRpH5hqSJGmSTkWLqcacJjkM+MNQI5IkSWPHXEOSJA0y2zktPgq8bBiBSJIkDWCuIUnSGJtt0eJBQ4lCkiRpMHMNSZLGWNeJON/X3wRsCDwZ+Niwg5IkSePFXEOSJA3SdSLOLfpe/wW4Eng1JhKSJGn2zDUkSdIkXSfi3HHUgUiSpPFlriFJkgbp2tMCgCRrAZu0L39dVdcPPyRJkjSuzDUkSVKvThNxJvmrJEcAVwM/Ac4Crk7y3iRrjjJASZK0+JlrSJKkQbrePeTDwDOBFwIPADZtnz8d+NBoQpMkSWNkXnKNJK9PUkk+MMN6WyQ5Pcn1SS5O8pYkGVVckiSp0XV4yD8Az6iqr/W0nZ/kCuAE4PlDj0ySJI2TOc81kjwa2JumV8d0690N+BrwTeCRwGbAx4FrgcOGHZckSbpN154W1wIXD2i/GHCsqSRJmq05zTWS3B04lqYYcs0Mq+8OrA3sUVXnVNXxwKHAPva2kCRptLoWLd4P7N9OjgXcOlHWm9tlkiRJszHXucaRwPFV9Y0O6z4G+FbfpKCnABsBS0cQmyRJanUdHvJoYHvg4iQTXSi3aLe/S5IvTaxYVbsON0RJkjQG5izXSPIimjkznttxkw2Ai/raLu9ZdsFs4pEkSVPrWrS4imY8aS9P0JIkaVjmJNdI8iDg7cDjq+qmYe+/PcbeNHNlsGTJklEcQpKksdGpaFFVe406EEmSNL7mMNd4DLAu8NOe6ShWB7ZL8hLgLlV1Q982lwHr97Wt37PsdqrqSJrhJyxbtqyGFLckSWOpa08LAJLcH3gIUMB5VXX+SKKSJEljaQ5yjf8Clve1fRz4JU0PjBsHbHMGcGiSNavqz23bzsAlwIohxydJknp0Klq0t/r6D2A34C+3NecE4AVV9ccRxSdJksbAXOUaVfV/wP/1Hfta4OqqOqd9fQiwTVXt1K5yHLA/cHSSg4AHAvsBB1SVPSkkSRqhrncPeS+wJbAjsFb72KltO2I0oUmSpDGykHKNDYFNJl5U1e9pelZsRNNL44PAYcDhcxyXJEljp+vwkF2Bp1XVt3raTmsnmvoC8IKhRyZJksbJvOUaVbVD3+s9B6xzNrDdqGKQJEmDde1psRbwuwHtVwNrDi8cSZI0psw1JEnSJF2LFt8B3pZk7YmGJHcBDgC+O4rAJEnSWDHXkCRJk3QdHvJq4BTg4iRntW1bANcBTxxFYJIkaayYa0iSpEk6FS2q6pwkDwB2BzZrm48Bjq2q60cVnCRJGg/mGpIkaZCuPS2oquuAo0YYiyRJGmPmGpIkqV/XOS1I8ogkn0yyvH0ck+QRK3vAJC9NckGSPyf5YZJtp1l3hyQ14LHZVNtIkqQ7pmHlGpIkafHoVLRIsjvwA5r7lp/cPtYHvp/kuV0PluRZNPdhfzvwcJqJtb6cZMkMmz60PfbE45ddjylJkha+YeUakiRpcek6PORg4M1V9fbexiSvBw4CPtVxP/sAR1fVRNfPlyd5EvAvwOun2e6Kqrqq4zEkSdIdz7ByDUmStIh0HR6yHvCfA9o/B9yryw6S3BnYGvhq36KvAo+dYfPlSS5NcmqSHbscT5Ik3aHMOteQJEmLT9eixTeAHQa07wCc3nEf6wKrA5f3tV8ObDDFNpfS9MLYDXgG8HP+P3t3HiZLVd9//P0BVMQtRpBFc70CKiAoyhXEsBkhomRRNEZFBRXBnyaaEGNwi6iJgApRA0RxQwMIUYwbGkRkVVxQFJDFBSER5IqCKPvi9/fHqeH2bWbpuXeWnun363n6me6qU1Wnq7q7vvOtc07BaZONgyFJkhakmYg1JEnSIjNo95AvAwcnWQZ8s5v2ZFoi4aAke44VrKrPzFTlquoyWqJizLlJlgL/CJzdXz7JfsB+AEuWTDVMhiRJGiLzEmtIkqThNmjS4t+7v3cnBXoc0fO8aK0pxvMr4C7aoFq91geuGbAeAN8Cnj/ejKo6GjgaYNmyZTWNdUqSpPk1E7GGJElaZAbqHlJVawz4mDCIqKrbge8Cu/XN2o12F5FBbU3rNiJJkhaJmYg1JEnS4jNoS4uZcjjwn0m+DXwdeCWwEfABgCSfAKiql3Sv/w64AvghcG/gRcCzaGNcSJIkSZKkRWxOkxZVdWKShwBvpt2H/SLgmVV1ZVekfyCKewPvBh4O3EJLXuxRVV+aoypLkiRJkqR5MtctLaiqo4CjJpi3S9/rdwHvmoNqSZIkSZKkITPoLU8lSZIkSZLmlEkLSZIkSZI0lKbdPSTJY4FdaLcbO6eqvjfTlZIkSaPLWEOSJI2ZVkuLJPsDpwM7A38CnJHk9bNRMUmSNHqMNSRJUq9JW1okWa+qru2Z9BrgcVV1TTd/R+AkHCxTkiStAmMNSZI0malaWnw7yT49r28GNut5vQXw25mulCRJGhnGGpIkaUJTjWmxA3BEkhcDr6Bd/fhUknt1y94JvHh2qyhJkhYxYw1JkjShSZMWVXUV8OwkzwFOBT4EPBrYhNZK47KqunXWaylJkhYlYw1JkjSZgQbirKqTgCcAS4GvA2tX1Q8MIiRJ0kww1pAkSeOZ8panSZ4JbA78oKpemWQH4KNJTgPeVFU3zXYlJUnS4mWsIUmSJjJpS4skhwEfA54EfDDJW6rqHGAb4Abg/C7QkCRJmjZjDUmSNJmpuofsAzyzqp5PCyZeDFBVt1fVW4FnAW+Y1RpKkqTFbB+MNSRJ0gSmSlrcBDyye/5HwEr9Sqvq4qracTYqJkmSRoKxhiRJmtBUSYs3AJ9IcjVwJvCW2a+SJEkaIcYakiRpQlPd8vS4JP8DbAz8uKp+MzfVkiRJo8BYQ5IkTWbKu4dU1a+BX89BXSRJ0ggy1pAkSROZqnuIJEmSJEnSvDBpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkombSQJEkjI8kbknwnyW+TXJvkC0m2HGC5rZKcmeSWJFcl+eckmYs6S5I0ykxaSJKkUbILcBTwFOBPgDuBryb5w4kWSPJA4FRgOfAk4LXAPwIHzHZlJUkadWvNdwUkSZLmSlU9vfd1khcDNwB/DHxhgsX2AtYB9q6qW4CLkmwGHJDk8Kqq2ayzJEmjzJYWkiRplD2AFg9dP0mZ7YGzu4TFmFOAjYCls1c1SZJk0kKSJI2y9wHfB86dpMwGtK4hvZb3zJMkSbPE7iGSJGkkJTkc2AHYoarumsH17gfsB7BkyZKZWq0kSSPJlhaSJGnkJPk34AXAn1TV5VMUvwZYv2/a+j3zVlJVR1fVsqpatt56661+ZSVJGmEmLSRJ0khJ8j5WJCwuHWCRc4Edk6zdM2034GrgipmvoSRJGmPSQpIkjYwkRwIvBV4IXJ9kg+5x/54yByc5rWex44GbgWOSbJlkT+BAwDuHSJI0y0xaSJKkUfIq2h1DTgN+0fN4XU+ZDYFNxl5U1Q20lhUbAecBRwKHAYfPTZUlSRpdDsQpSZJGRlVlgDL7jDPtQmCn2aiTJEmamC0tJEmSJEnSUDJpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkombSQJEmSJElDyaSFJEmSJEkaSiYtJEmSJEnSUDJpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkombSQJEmSJElDyaSFJEmSJEkaSiYtJEmSJEnSUDJpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkombSQJEmSJElDyaSFJEmSJEkaSiYtJEmSJEnSUDJpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkombSQJEmSJElDyaSFJEmSJEkaSiYtJEmSJEnSUDJpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkozXnSIsmrkvwsya1JvptkxynK79yVuzXJ5UleOVd1lSRJi5PxiCRJC8OcJi2S/DXwPuCdwBOAbwBfTrJkgvKPBL7UlXsCcDDw70meMzc1liRJi43xiCRJC8dct7Q4ADimqj5UVZdU1d8CvwD+3wTlXwlcXVV/25X/EPBx4HVzVF9JkrT4GI9IkrRAzFnSIsm9gW2Ar/TN+grwlAkW236c8qcAy5Lca2ZrKEmSFjvjEUmSFpa15nBb6wJrAsv7pi8Hdp1gmQ2Ar45Tfq1ufb/onZFkP2C/7uWNSS5bnQovAusCv5rvSgwqh853DYaCx2zh8ZgtTAvmuM3SMXvErKx1YTAemXuj/n1biBbMMQOPW8djtvB4zAaMR+YyaTHrqupo4Oj5rsewSHJeVS2b73pocB6zhcdjtjB53DSbjEdW5vdt4fGYLTwes4XHYza4uRzT4lfAXcD6fdPXB66ZYJlrJih/JwsoKyVJkoaG8YgkSQvInCUtqup24LvAbn2zdqONxj2ecycof15V3TGzNZQkSYud8YgkSQvLXN895HBgnyT7Jtk8yfuAjYAPACT5RJJP9JT/APCwJO/tyu8L7AO8Z47rvVDZNHXh8ZgtPB6zhcnjNtqMR+aW37eFx2O28HjMFh6P2YBSVXO7weRVwOuBDYGLgL+vqrO6eWcAVNUuPeV3Bv4NeCxwNXBoVX1gTistSZIWFeMRSZIWhjlPWkiSJEmSJA1irruHaA4kWZqkksz6aLRJvpjkmNnezihLckySL87BdpZ1n5uls72txcbv3MI0l8dNGkX+Ni4uxiPDz+/cwmQ8MjWTFnOs+8GvcR7fnO+6jbqeY/OWvum7dNPXnca6/PGZJ0nWS3JUkiuS3JZkeZLTkvQPoreq6z8jyREzsS4NJsn+SW5Kcu+eafdOcnOSi/rKbtp995429zWVFg7jkeFlPLI4GI8sPsYj88ekxfz4Kq0Pbe/jmfNaI425FfjHJOvN9oaS3Gu2tzGiTgK2BV4OPBr4M+DLwEPms1JaLacD69CO65jtgBuAR/V9X58K3AZ8fe6qJy1YxiPDy3hk4TMeWXyMR+aJSYv5cVtVXdP3uA6gy8jtl+RTXSbv8iQv6l04yXZJvpfk1iTnJ3lmt9wu420syZpJPpLkZ0luSfLjJK9PskZPmWO6Zl6vTXJVkuuTfCzJOj1l1unK3dhli984S/tnPp0OXAG8ZYpy09JzpeMFSb6W5BZg/27eU5Kc2WVpr0ryH0keOMm6dk9ydneMrktySpLNx9nWc5Kc2q334v7MfreeS7vP0dm0E+qCluQPgB2BA6vqtKq6sqq+U1XvqaoTujL3TvLOJFd2Vz4uT/KannXslORb3X5ZnuTfxjLqac0gdwZe3XNVcuk49fA7N4Oq6ke0gQ+f2jP5qcBpwHnALn3Tz62qW5O8KMl3kvwuyS+739WHTbatJFskOblnmU8m2aBn/lZpV8p+2x2XHyR56mTrlIaY8cjwMh5ZwIxHFifjkflj0mI4/TPwOeDxwInAR5MsAUhyf+CLwKXANrSRz989xfrWAK4CngdsDrwJeCPw0r5yOwJbArsCfw08G3htz/z30O5L/xzgacATgJ1W5Q0Osd8DBwKvTLLJLKz/YOAoYAvgs0m2Ar4CfJ52vPcEtgY+Osk67ge8l5bl3YWW3f1Cepqqdf4VeH+33u8AJ3SfH5L8EfBZ4NRue/8OvGv13968u7F7/EWStSco83HgJcABtO/Dy4HfAHQnkC8D59M+3y8HXkA7btC+D+cCH2PFVcn/G2cbfudm3uncM0g4o3v0Tt+lKwtwb+CttO/AnwHrAp+caANJNgTOot1JYlvacbk/8LmeAO944Bfd/K2Bg2hXRKXFyHhk/hiPLGzGI4uX8ch8qCofc/gAjgHuZMWP2djj0G5+AQf3lF8LuBl4Ufd6f+A64L49ZV7YLbdL93pp93rZJPU4BPhqX73+D1izZ9qHxsrQvii3AXv1zL8/7cf1mPnerzN4bL7YPT8dOKF7vku3P9edxrpWOgY9r/+hr9wngI/0Tdu6K/vQ/npNsK37AXcBO/Rta/+eMg/rpo2VeSfwI7o7CHXT3tyVWTrfx2I1j+Nzuu/IrbQT+nuA7bp5j+re4+4TLPuvwI+BNXqm7dN99tfpXp8BHDHZ8Z5g3X7nVu+4vhy4BbgPsHZ3fDcF/hS4pCuzWe/nfJx1jM1/+HjHDXg7cFrfMg/uymzbvf4tsPd87w8fPlb3gfHI0D4wHjEeMR4Z2gfGI/PyWAvNh7OA/fqm/abn+QVjT6rqziTXAg/tJm0GXFRVt/SU/9ZUG0zySmBf4BHAfYF7AVf2Fbu4qu7qeX01rZ8WwCa0LOG5PXW7McmFU217gfon4NwkU101mq7z+l5vA2ya5K97pqX7uwnwy/4VdFdc3kE7NuvRsuhrAEv6il7Q8/zq7u/Y52hz4JvV/ep1zmURqKqTkpxMu2qwPbA78A9J3gT8hHb16vQJFh/bL7/vmXYO7bO/KSvv00n5nZtxX6MFB9vTviPXVtVPkvwC2KRrMvlU2j9V3wJI8kTalY2tgT9kxXdrCfDzcbaxDbBTkhvHmbcJ8G3gcODDSfamNQc9qaounZm3KM0545HhZzyyQBmPLFrGI/PA7iHz4+aq+knf41c98+/oK1+sxrHqTkDvpWVSn077whxF+wHqNaPbXciq6tu0AZRmuoniTX2v1wA+TDsmY4/H0zLw359gHV+kBQf7004oT6BdLZvwePYEAyNxPKvq1qo6tareXlVPAT5Caza3WqsdtKDfuZlXVT+jBVm7dI8zu+k3Ad/tmX5OVd2R5H7AKbSg4cXAk2gBI9zzOIxZAziZlb+PW9O+j1/stncQXXNq4CnABUleNkNvU5prxiNDznhkYTMeWXyMR+aHLS0WnkuBvZPct+fqxraTLQDsAHyrqu6+LdIq9I/8Ke0H7cnA5d067kfr//bTaa5roXgjcDErflhmw/eAx1bVTwYpnOQhtKtbr6qq07tpT2T63+VLgOckSU8A8eRprmMhuZi2jy6lnQieCvzPOOUuAZ6XZI2eqxs7ALez4nN+O7DmFNvzOzc7Tqcdu9CaMo85A/gTWpBweDdtM1qf0Td2AQZJ9pxi/d+j9fu9sqr6A7i7VdWPac1235/kP2hXsCbr9y0tRsYjc8d4ZPEwHlkcjEfmmBm0+XGfJBv0PQa9pdXxtP6CH+pGld2VdjKDiTOvPwKemOQZSR6Vdt/vnadT4aq6kZYdPjTJbkkeS/tSTPVjuWB1J+6jWXkgIgDSRrn+mxnYzKHAtkk+kOQJafd0/rMkH5yg/PXAr4BXdGV3Bj5Au7IxHR+g9Z97b5LHJHku8MpVfA9DI8lD0kZDf1GSxyV5ZJK/og0Qd1pVXQD8F6053XO6+TsmeXG3iqOAjYCjkmyeZA9a388jqurmrswVtGO2NMm6PQMi9fI7NztOpwVN29ECgzFnAs+nNTcea2r7v7Q+uH+TZOPuWL5jivUfCTwIODHtrggbJ9k1ydFJHpDkvkmOTLJLd/y3owWEF8/YO5TmlvHIAmA8svAYjyx6xiNzzKTF/NiVNtpr7+P8QRasqt8Bfw48tlvm3axoZjbRiLEfpP0wHk8btXkpcNgq1Pt1tC/gf3d/L6L1h13M3s74J+DH0LKmq6U7ae1EOyZnAj+gjQy9fILyv6eN6vw42v4/knY7tNumud3/pY0Mvnu3zb+njVK+0N0IfJMW2J0J/JA2yNfxtP0GbaTu42kjmV9KazL5IICqugp4Bq2J6/dpJ+VPsiIQhzaQ1u20E8O13LPvLvidmy2n05pS/rLvauA5tH66v6U1zaSqrgX2Bp5FO1ZvpY3QPqGquhr4Y1o/4/+hfX6OpH2/bqP9g/Zg2mfmMtpxOXeq9UpDzHhk4TAeWViMRxY345E5lpXHvdFClOQvaR/Wh/b1RZUkSZoTxiOSpNngmBYLUNoosZfTbk+0JW2AnS8YIEiSpLliPCJJmgsmLRam9YG3ARsC19BGl/2nea2RJEkaNcYjkqRZZ/cQSZIkSZI0lByIU5IkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkSZI0lExaSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkSZI0lExaSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkSZI0lExaSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkX736zgAAIABJREFUSZI0lExaSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLaRUkOSLJGTOwnoOSXDQDVZoXSZYlqSRLJymzTpJPJ7lhqrIzUJ+Lkhw0W+tfVUn2SXLjfNdjVSS5IsnrplH+mCRfnKLM0u6zsGz1ayhJ8yfJsUk+O9/16DfdeiVZq/tdftZs1muCbW/QbXuHScoM5X4eBavwWdo3yW8GKPfzJH+3erXTqDBpoXEleWKSu5J8fb7rshhM8k/ae4Cd56NOc+hlwE7ADsCGwP/Nb3XmxYnAxvNdiclMkkB7EnDUNFb1WuBFPes9I8kRfWX+j/ZZ+P60KypJc6hLxNY4j627Iq8G9pnHKk5kWOu1qhbb+xk6SXbtPtt/0Ddruvv+OODRPev9lyTjne+fABw97YpqJK013xXQ0NqX9o/KS5JsXlWXzHeFFqOquhFYkFfgp2FT4JKqunC+KzLTkqwF3FVVNVm5qroFuGVuajWzquraaZa/YYAydwHXrHKlJGlufRV4cd+0X8Fgv3nzYVjrtaqG4f0kuVdV3THf9Zhr0933g8Y8040vNNpsaaF7SHJf4IW07OengZePU2ajJMcl+XWSm5N8P8lTe+Y/M8m3ktzSlflCkrW7eQ9O8vEk13fzv5rksT3L7pPkxiTPSHJpt/7PJ3lQkucm+XHX1eA/u7qOLXdGkv9IcliS65Jcm+S1Se6T5Mgkv0nyv0le3PdeturqcEu33DFJHtQzf80k7+nqe32S9wJr9q1j9yRnd/OvS3JKks17ivys+/udLot9RrfcSle3k6yR5C1J/i/JbUkuTPKXPfPHWmw8J8mp3b65OMluUxzTSes36Hq79Vya5NYkZ9OTSZ9gu2fQrrzv1Pe+J/0MdGX27N7/bd3+eFOS9Mx/aJLPdctfmeRlk9WlW+aPumWu697jpUme3zP/YUlO6DnWJyd5VM/8g9K6oOyT5KfAbcDfJlmepP8zcXySz3fP79E9JJN/R+6d5NC0ppM3J/lOkqdP8d6m+gxO+L1Nsg/wVuCxWXEVcZ9umbu7h3Tv6aS+da7RHZ8Dutd3dw9JcgytJdGre9a7NOO0PEqyRbe/f5fkl0k+mWSDnvlbJTktyW/Tfh9+kJ7fHEmaRbdV1TV9jzvhnk3nk5yT5P3db/ivu/PDoUnW6Cmzd5Lzut+75UlOTLJhz/yxK95/0v3+j50HHt9bqSRPSXJ6kpvSYpyvJll/gno9s6vbb7pzxJeTPGY6OyHJdmkxwq+63+Kzk2zbM3+si8m+SU7q6vXTJC8YZz3np8US36O16Jtq26uyn5+bFkeMxXdnJFmvm3ePq//p69YwVibJy5NcDtyaZO2p9mWSTbv98OzuvHVzkh8m+ZO+7W2Rdu4fO699I8kWffW5pNtPlyV5TbIiDhpnHz0qLV5e3q3vu0me0VfmPkkOSYuHb+uOz6uTbAqc2hW7vqv/h/v3fZJXJbm6dz930/8ryWf692OSfYE3AY/PijjgRd28lbqHJPmDJB9OiwF+2x2vJ/bMf3BaDHNtt09+muRvJtofWlxMWmg8zwWu7K6M/yettcW9xmYmuR9wJrAUeBawFfD2nvm7A5+n/fhtAzy1Kz/2eTsG2A74S2Bb4Gbgf9KTgADuA/wDsBfwNGAZcBKwN/Ccbrt/Bryqr+57Ab/r1n8I8F7gs8CPunV8HPhwuuCgey+n0Fo7bAs8G3gK8NGedf4D8Apgf2B7WsJir77t3q/b1rbALsANwBeS3LubP3ZS353WLH5Pxvda4B+Bf6Lt1/8GPpMVzVDH/CvwfuDxwHeAE5Lcf4J1DlK/Kdeb5I9o+/JUYGvg34F3TbJNuvf5MeBcVn7fxzDJZyDJNsCngM90++FA4A1A78npGForjl1pn4eX0D6TkzkKWIf2mXws8HfA2Il1HeB04FbaP9rbA78AvtrNG/NIWlLvr2j76ZPAg4C7EzzdPvtL4NjxKjHAd+RjXR1eCGxJ+9x+IX0Ba59Jj/EU39sTgcOAy2jHacNuWr9jgT3Sk9Tr6rlhtx/6vZZ27D/Ws957dA/qvo9nARd19d8VuD/wuZ7A6Hja8diW9vk7iHasJGnY7E07r21PO8+8jha7jLkX8BbaOeQvgA1ov3H93tkt+0Tab/pxY/+0dv/MfQ24lBa3PIUWJ91rnPVAO0ccRksQPLWr3+d747sBPIB2PtqRdg6/EPhykgf3lXtrV5fH087jxyR5eFfvBwAn08432wBvpHWVXRUT7uckD6Odlz4CbE7rpjrePp7KprTz/XNo557bGXxfvhM4nLYfzqfFVOt09Xs4cA5wBy3OfSLwH3St4JP8P9o5+s1d/V/fPd9/krqO7dtdaV0vPgd8Nj0XX2jn8RfS9tfmtJbVv6VdXHteV+YxtPP1AeNs40RgXeDuBEySBwJ/zvgxz3G02OSHrIgDPt1fqDvXfxl4KPBM2mfjG8DX0iXiaPtzs27+Y7q622pzVFSVDx8rPYAzgNd1zwNcATy3Z/4raImBdSdY/uvACRPMexRQwE490x5EOxnv273epyvzmJ4y7wHu6t0m7Z/WL/bV+9ye1wGuBT7fM+1etBPOc3veyw3AA3rK7NJtf9Pu9dXAm3rmr0FLgpwxyT68X1ffHbrXS7t1LusrdxBwUc/rq4B/Hud4HNu3nv175j+sm7bDNI7xRPWbcL20k8WPgPSUeXNXZukk2zqid18N+Bk4DvjaOPvq593zR3fr+OOe+Y/o3tNBk9TlAuCtE8x7GfDjvve3JvBr4Hk9dbgDWL9v2c8A/9nz+kXd+1m75zN944DfkU2A3wNL+qZ/FjhqNY7xVN/blT6LPdOvYMXvwVrAcuDlPfM/DHxliu/lEX3rHPu8Letevx04ra/Mg7sy23avfwvsPej79+HDh4+ZeHS/aXfSLm6MPb7cM/9Y4LM9r88Bzu5bx+nABybZxpbd790G3etdu9dP6ymzc1+ZE4FzJlnnSvUaZ/4Du3PNk7vXa3Xrf9Y09s1YnPX8vnW8o6fMvWmtEsfKvIp2Xl2np8w+TBHHTHc/0xLcBTxsgvX9C/D9vmn7Ar/pK3M7sN4U+6F/X27abbv3XPmIbtpYmUOBy4F7TbDOq4AX9E17HXDBND+/5wEHds837+qw6wRlxz53fzDFvv888LG+43c9cJ9J9uP3x9nez4G/657/KS1uuk9fmYuAA7rnXwI+NJ3372PxPGxpoZV0zcN2oMtGV/uVOI6Vu4g8gfaj+asJVvME4LQJ5m1O+2E/d2xCtb5yFwJb9JS7raou63m9HLimb5vLaRnZXhf0rLeAX3brHpt2B+2HdWy5zbv38ruedXyjq+MW3RXlDfvq+3vgW70bTbJJWtP5nyb5bVe3NYAlE+yHe+gy1RvR/qHtdQ4r75uV3ictqQL33BerUr/J1rs58M1uv445l+kb5DOwOePvh4d1+2lsHd/uWceVPXWeyPuANyc5t2v2uU3PvG1orSh+1zWrvJF2An0wLZEw5udVtbxvvccCz+ppkbEXcFJVTdQSYLLvyBNpgeDFY/Xo6rJHXz1WMsAxnup7O6VqzaFPpGtplOQ+tKtP47YomYZtaF2Iet/vWIuMsfd8OK2V1NfSugpttprblKRBnUW7yj722HeK8hf0vb6annN02p23Pp/WtfF3rIgppnNOnuw8cg9d14FPJrm8O0dcTTvXTCdOWT/J0Ul+lOQGWiL8IZPVu6pup43/0RtL/KCqbu4pvyqxxErb6fTu5+/RkuaXpN3BbP8k667CNq6svrEXprEvpzp+Z9c4Y2R0rQ83Aj7Sd178FyaPA+6f1p35krSuKzfSPq+9ccBdtFaXq+NYYM90XVppMcGnquq21VjnNrQWlr/ue8+bseI9HwXsldZl591JdlqN7WmBcSBO9duXdnX5f9MzfAC07gFVNZt3fuj9Z/jOceb1/7AX9+ziNF6ZQZabqj5T+SItY7w/LTt+J3Ax7QrDTOivy93vqaqqO1aTvadB6zfd9c60QfZ5TfB86gWrPpLkFFrTwl2BbyQ5uKoOor3P7wPPH2fR63qe3zTO/JNp+/Qvk5zWrXvSMSgmsQbtfT2Je352JxvYarY/g2OOBc7tmt5u163/M6u5zjVo+3C8W6suB6iqg5IcBzyDtm/fmuSVVfXRcZaRpJl0c1X9ZBrlJ4w7uu4RpwD/Q2uVdy2wPu0f7AnPyaw4363qOflkWheAV9D+gf490z9HHAv8Aa1rwZW0FhRnjLOOVY27pmvC7VTVnWljSGxPu4q/P3BIkh2r6iLa++8fH2K8rjITnfMH2ZerevzGyryCvotkTB73/But28Y/Aj+hdVs5bpx6ra7PAx8C/jzJOd02V3eMqTVoXUB3GWfeDQBV9cUkj6DFAbvSuiYdX1WvWM1tawGwpYXulnYnhL1pYwf0XlF4PC1b/NKu6PnA4ybJWJ9P6583nkton7vte7b7QFr/+otX8y2sikuArbogYsxTaHW8pGsB8AvgyWMzu/6kvQNPPYSWCX5nVX212p1WHsDKScHbu78rDdbYq6rGsvV/3DdrB1Zj3wxYv0FcAmyXrDQI1JMnKjzFeqb6DFzC+Pvh512rmEu7dfQehyW0KxOTqqqfV9XRVfU84J+B/bpZ36M16fxVVf2k73HdhCts67yNNgbHXsBf0/pYnjHJIpN9R86nBVIbjFOPq8ZbYMBjPNX39nYm+XyOqapv04KhF9De7+eq3QVnIoOs93u0MUauHOc9390Kqqp+XFXvr6o9aP2Up7raKUnDZgvgD2lN9s+uqktpSYvpmuw8spJuTIBHAf9SVad154gHMf3/A3YA3l9VX6qqH9L+od9gimX6XUIblLF3HLNViSWmVM03ugsT29Ba346N23AtsEFfTNM/ftg9zOC+PB/YcYIxRa6mJew3Huec+NNJ1rkDcExVfaaqLujW03u79fNp5+OdJ1h+ylgVoGtFehItBng+rWXk2ZMsMmgcsAFw5zjv+e6WLlV1bVV9oqpeQovfXjbNcVm0QJm0UK89aIPrfKiqLup9ACcAL+1+3I+n/fB/LsmOSTZO8hdZMZL/vwJ/1TW/3yLJY5P8fZJ1qurHtIGBPtgtuxUtc/9bVm2ApNV1HC0T/Ym0uxPsBHwQ+EzPVZX3Aa9PG4X6MbQBhTbsWcf1tKaPr0gbMXpn4AOs3Frkl7Sr5E/vmlf2DmTY693A65K8IMmjk7ydNuDVqg5SNWj9BvEB2lgE703ymCTPBV453coM+Bk4DNg57W4dj06yF21A1Hd167iMdpXqg0m2Txuo9BimuMVWkvel3WVj426Z3VmRKDmOFiR8LsnOSR6ZZKe0u9E8asKVrnAsrQXAK4FPdt2IJjLZd+RHXV2O6T5zG3dNiV+XZKIBXAc5xlN9b68AHpHkiUnWTev6MZHjaAmDPZi6a8gVwLZpdwxZN30jjneOpAV9J6aNKr9x2uj5Ryd5QJL7pt0BaJduPduxmsk8SZonV9D+ifvb7jzzZ8DbVmE97wKelHbXtMd15+X90g142edXtBaD+3XniF1ov7uTnafG8yPgxUk2T7tryAm01hbTMXbO+Eh3/ns67WLZjEq7s8obu/PnEtoA1A9nxXnjdGA94J/Sule+gjYY+1Rmal8eQet+emJXx02TvDDJ47puuAcBb0i7C95jkmyZdteZf5pknT+iddt4QpLH0c7Vd5/LuwTLZ4CPpt2hbSzOeVFX5Mru7x5J1svkA7wfS2vxsB9wfF/X4X5XAI9MsvUk8cUptC6/n03y9O5cv32Styd5Ctx9N5e/TOueswXteP14vC42WnxMWqjXy4HTq+rX48z7FO0f1t2q6iZalvbnwBdog+S8ja7JWlV9ifZD8gxaVvdMWrOxsR/0l9J+mD7f/V0H2L3afZ3nVNen8um0QZS+Tftn+lzaoIxjDqPd/eDDtGZ6a9BOBGPr+D3t6vrjaPviSNqo4Lf1lLkTeA3tH72ru+2M5/20xMW7unU9G3hOVf1gNd7jlPUbcD3/S7v7x+7AD4C/p93VY1VM+hmoqu+xYrTui2h3gjmEdpIfsw+teebXaJ/D42knxsmsQbvrycW0O3csp7UuGvss7EQbGOtTtNYcH6cFFdcP8J7OpnXL2IIp/pEf8DvyMdrn4FJa14+dWBFQ9K9vkM/gpN9b2lWTL9H6SF9La0kxkWNpI3ffAHxlsvdKS7jdTtvn1zJO/+mqGmth9HtaMuqH3Xu4rXvcRTsOx9BGnP9v2vd0vJHNJWlodWMi7UO7U9sltAGtp/1bVlXfpd21aitabPIt2nnzHv/AVdVdtHPEE2m//f9OSxRM95+9fWjdQ86nnXM/yDh3hJqi3r+l3f1ti249h9LujDHTbqCdN79E+2f+XbSBuE/o6nER7Y5kr6K1Jn4qLc6Yqv4zsi+77tY70eKfM2j74tV0Fxuq6gO0hMA+tJjrLFoM+bNJVvtaWrzydVoXlrNo47T12osW4xxBiy8+SmuZOTY22Nto+2o57SLdRM6gXQjZjKkvXnyKFiucQYsD/qq/QBfH7E6LpT5KO2b/RWvV8ouu2O3AwbT9cQ6wNu1ObRoBmTwxJkmSJEmSND9saSFJkiRJkoaSSQtJkiRJkjSUTFpIkiRJkqShZNJCkiRJkiQNJZMWkiRJkiRpKK013xWYLeuuu24tXbp0vqshSdLQ+e53v/urqlpvvusxCoxHJEka36DxyKJNWixdupTzzjtvvqshSdLQSXLlfNdhVBiPSJI0vkHjEbuHSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkSZI0lExaSJIkSZKkoWTSQpIkSZIkDSWTFpIkSZIkaSiZtJAkSZIkSUPJpIUkSZIkSRpKJi0kSZIkSdJQMmkhSZIkSZKGkkkLSZIkSZI0lNaa7wpIUr+lB54831VYtK44ZI/5roIkSUPPWGR2GY9oOmxpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKHkmBaSpNVm39/ZY79fSZI0ymxpIUmSJEmShpJJC0mSJEmSNJRMWkiSJEmSpKFk0kKSJEmSJA0lkxaSJEmSJGkoefcQSZKkBcS79cwe79YjScPHlhaSJEmSJGkozWnSIsmGST6e5Noktya5OMnOUyyzVZIzk9yS5Kok/5wkc1VnSZIkSZI0P+ase0iSPwC+DpwD7AFcC2wM/HKSZR4InAqcBTwJ2Az4GHATcNgsV1mSJEmSJM2juRzT4vXAL6rqJT3TfjbFMnsB6wB7V9UtwEVJNgMOSHJ4VdUs1VWSJEmSJM2zuewe8izgW0lOTPLLJN9P8jdTdPXYHji7S1iMOQXYCFg6i3WVJEmSJEnzbC6TFhsDrwIuB54OvA84BHj1JMtsACzvm7a8Z54kSZIkSVqk5rJ7yBrAeVX1hu71+UkeRUtaHDETG0iyH7AfwJIlS2ZilZIkSZIkaZ7MZUuLXwAX9027BJgsu3ANsH7ftPV75q2kqo6uqmVVtWy99dZb5YpKkiRJkqT5N5dJi68Dj+mb9mjgykmWORfYMcnaPdN2A64GrpjR2kmSJEmSpKEyl0mLfwOenORNSTZN8lfAa4AjxwokOTjJaT3LHA/cDByTZMskewIHAt45RJIkSZKkRW7OkhZV9R3aHUSeB1wE/CvwFuConmIbApv0LHMDrWXFRsB5tATHYcDhc1NrSZIkSZI0X+ZyIE6q6mTg5Enm7zPOtAuBnWaxWpIkSZIkaQjNZfcQSZIkSZKkgZm0kCRJkiRJQ8mkhSRJkiRJGkomLSRJkiRJ0lAyaSFJkiRJkoaSSQtJkiRJkjSUTFpIkiRJkqShZNJCkiRJkiQNJZMWkiRJkiRpKJm0kCRJkiRJQ8mkhSRJkiRJGkomLSRJkiRJ0lAyaSFJkiRJkoaSSQtJkiRJkjSUTFpIkqSRleQNSSrJEVOU2yrJmUluSXJVkn9OkrmqpyRJo2qt+a6AJEnSfEjyZGA/4IIpyj0QOBU4C3gSsBnwMeAm4LBZrqYkSSPNlhaSJGnkJHkQcBzwMuD6KYrvBawD7F1VF1XVp4FDgQNsbSFJ0uwyaSFJkkbR0cCnq+r0AcpuD5xdVbf0TDsF2AhYOgt1kyRJHZMWkiRppCR5BbAp8OYBF9kAWN43bXnPPEmSNEsc02Ialh548nxXYVG74pA95rsKkqRFLsljgHcCO1TVHbO0jf1oY2WwZMmS2diEJEkjw5YWkiRplGwPrAv8MMmdSe4EdgZe1b2+zzjLXAOs3zdt/Z55K6mqo6tqWVUtW2+99Way7pIkjZwpkxZJ7pXkmiSPnYsKSZIk9ZvBeOSzwFbA1j2P84ATuue3j7PMucCOSdbumbYbcDVwxWrWR5IkTWLKpEXXdPIOoGa/OpIkSfc0U/FIVf2muwPI3Q/arUuv615XkoOTnNaz2PHAzcAxSbZMsidwIHB4VRkfSZI0iwbtHvLvwBuSOAaGJEmaL3MVj2wIbDL2oqpuoLWs2IjWKuNI4DDg8FmuhyRJI2/Qk/6OtP6eVyUZuyJxt6r6i5mumCRJUp9ZiUeqape+1/uMU+ZCYKdVWb8kSVp1gyYtfgWcNJsVkSRJmoLxiCRJI2agpEVVvXS2KyJJkjQZ4xFJkkbPtPqEJtkY2II2CNYlVXX5rNRKkiRpAsYjkiSNjoGSFkkeCHwEeA7w+xWTcxLw8qr63SzVT5IkCTAekSRpFA1695D3AY8Dngrct3s8rZv23tmpmiRJ0kqMRyRJGjGDJi3+Ati3qs6sqju6xxnAfsCzZq12kiRJKxiPSJI0YgYd0+K+wK/HmX4dsPbMVUeaWUsPPHm+q7CoXXHIHvNdBUmjxXhEkqQRM2hLi68D70iyztiEJPcD3gZ8YzYqJkmS1Md4RJKkETNoS4sDgP8BrkpyQTdtK+Bm4OmzUTFJkqQ+xiOSJI2YgZIWVXVhkkcBewGbdZP/Eziuqm6ZrcpJkiSNMR6RJGn0DHrL052Ab1TVh/qmr5Vkp6o6a1ZqJ0mS1DEekSRp9Aw6psXpwB+OM/1B3TxJkqTZZjwiSdKIGTRpEaDGmf4Q4KaZq44kSdKEjEckSRoxk3YPSfL57mkBxya5rWf2msCWOFq3JEmaRcYjkiSNrqnGtBi7F3qA64HeQa5uB84BPtS/kCRJ0gwyHpEkaURNmrSoqpcCJLkCeHdV3TwXlZIkSRpjPCJJ0ugadEyLTwOb9k9M8rgkW8xslSRJksZlPCJJ0ogZNGlxNK2/aL8tunmSJEmzzXhEkqQRM2jS4nHAt8eZ/h1gq5mrjiRJ0oSMRyRJGjGDJi3uot0Dvd+DaYNiSZIkzTbjEUmSRsygSYszgTclWXNsQpK1gDcBZ81GxSRJkvoYj0iSNGKmuuXpmNfTbif2kyTndNN2AO4P7DQbFZMkSepjPCJJ0ogZqKVFVV1G60d6PPCH3eM44PFVdcnsVU+SJKkxHpEkafQM2tKCqvoFrfnlKklyEPDWvsnLq2qDSZbZCjgC2Ba4Dvgg8I6qqlWthyRJWrhWNx6RJEkLy6BjWpBkqyRHJPlSkg27ac9K8oRpbO8yYMOex4QjfSd5IHAqsBx4EvBa4B+BA6axPUmStIjMUDwiSZIWiIGSFkn+lHY7sYcBTwPu283ahHu2npjMnVV1Tc/j2knK7gWsA+xdVRdV1aeBQ4EDkjhCuCRJI2YG4xFJkrRADNrS4h3AAVX1bOD2nuln0LpuDGrjJFcn+VmSE5JsPEnZ7YGzq+qWnmmnABsBS6exTUmStDjMVDwiSZIWiEGTFlsCXxpn+nW0QbAG8S1gH2B34BXABsA3kjxkgvIb0LqG9FreM+8ekuyX5Lwk51177WSNOCRJ0gI0E/GIJElaQAZNWlxHa4rZ74nAzwdZQVV9uar+q6ouqKqvAn/WbX/vAeswyDaOrqplVbVsvfXWm6nVSpKk4bDa8YgkSVpYBk1aHA+8O8nDgQLWSrIz8B7gE6uy4aq6Efgh8KgJilwDrN83bf2eeZIkabTMeDwiSZKG26BJizcDPwOuBO4PXAx8DTgH+NdV2XCStYHNgF9MUORcYMeu3JjdgKuBK1Zlm5IkaUGb8XhEkiQNt4GSFlV1R1XtRWsV8TzghcBmVfXiqrprkHUkeU+SnZM8Msl2wKeB+wEf7+YfnOS0nkWOB24GjkmyZZI9gQOBw6uqBn2DkiRpcZiJeESSJC0sa02ncFVdDlwOkGTTJGtX1a0DLv5w4JPAusC1wDeBJ1fVld38DWm3LBvb1g1JdgOOBM4DrgcOAw6fTp0lSdLisprxiCRJWkAGSlokeSdwWVV9PEmAr9Duj35Dkt2r6ltTraOqnj/F/H3GmXYhsNMgdZQkSYvbTMQjkiRpYRl0TIu9gMu6588AtgaeTBv06pBZqJckSVI/4xFJkkbMoN1D1mfFrcSeCfxXVX07yXW0rhuSJEmzzXhEkqQRM2hLi18Dj+ie/ykwNmDmWkBmulKSJEnjMB6RJGnEDNrS4iTg+CQ/Av4QOKWbvjXwk9momCRJUh/jEUmSRsygSYsDaPdEXwK8vqpu6qZvCPzHbFRMkiSpj/GIJEkjZqCkRVXdSbvdaP/0f5vxGkmSJI3DeESSpNEz6JgWkiRJkiRJc8qkhSRJkiRJGkomLSRJkiRJ0lAyaSFJkiRJkobSKiUtktw3ya5JHjF1aUmSpJlnPCJJ0uI3UNIiyTFJXtU9vzfwbeArwGVJnjGL9ZMkSQKMRyRJGkWDtrR4OvDN7vlfAA8ANgAO6h6SJEmzzXhEkqQRM2jS4sHAL7vnuwMnVdUvgROALWajYpIkSX2MRyRJGjGDJi2uAbZMsibtKsdXu+n3B+6YjYpJkiT1MR6RJGnErDVguY8ChPtBAAAgAElEQVQCJwJXA3cBp3XTtwMunYV6SZIk9TMekSRpxAyUtKiqtyf5IbAE+FRV3d7NuhM4dLYqJ0mSNMZ4RJKk0TNoSwuq6qRxpn18ZqsjSZI0MeMRSZJGy4RJiyR7Al+oqju65xOqqs/MeM0kSdLIMx6RJGm0TdbS4tO024j9sns+kQLWnMlKSZIkdYxHtOAtPfDk+a7ConbFIXvMdxUkzaIJkxZVtcZ4zyVJkuaK8YgkSaPNk78kSZIkSRpKAw/EmeThwE7AQ+lLdlTV4TNcL0mSpHswHpEkabQMlLRIshft3uh3AtfS+o2OKcAgQZIkzSrjEUmSRs+gLS3eDhwGvKWq7prF+kiSJE3EeESSpBEz6JgW6wMfNkCQJEnzyHhEkqQRM2jS4kvAdrNZEUmSpCkYj0iSNGIm7B6SZM+el6cChyZ5LHAhcEdv2ar6zOxUT5IkjTLjEUmSRttkY1p8epxpbxxnWgFrzkx1JEmSVmI8IknSCJswaVFVg3YdkSRJmhXGI5IkjbaBAoEkL0lyn3Gm3zvJS2a+WpIkSSszHpEkafQMevXiY8CDxpn+gG6eJEnSbDMekSRpxAyatAitr2i/JcANM1cdSZKkCRmPSJI0YiYbiJMkF9KCgwLOTHJnz+w1gUfQbj8mSZI0K4xHJEkaXZMmLVgxYveWwMnAjT3zbgeuAE6a+WpJkiTdzXhEkqQRNWnSoqreBpDkCuCEqrptLiolSZI0xnhEkqTRNVVLCwCq6uOzXRFJkqTJzEQ8kuTVwP7A0m7SD4F/qaqTJ1lmK+AIYFvgOuCDwDuqarzxNSRJ82TpgRP+lGs1XXHIHvO27YGSFpIkSYvEz4F/An5MG5B8b+CzSbapqgv6Cyd5IHAqcBbwJGAz2p1KbgIOm6tKS5I0qkxaSJKkkVFVn+ub9KYk/w/YHrhH0gLYC1gH2LuqbgEuSrIZcECSw21tIUnS7Br0lqeSJEmLSpI1kzwfuD/wjQmKbQ+c3SUsxpwCbMSKLiaSJGmW2NJCkiSNlG6MinOBtWl3Inl2VV04QfENaF1Kei3vmfezWamkJEkCppG0SLId8DTgofS10Kiq18xwvSRJku5hhuKRy4CtgQcBzwU+nmSXqrpohuq4H7AfwJIlS2ZilZIkjayBkhZJXge8C/gJcDXQ23/TvpySJGnWzVQ8UlW3d+sA+G6SJwF/D7x8nOLXAOv3TVu/Z9546z8aOBpg2bJlxkmSJK2GQVtavBZ4TVUdMZuVkSRJmsRsxSNrAPeZYN65wKFJ1q6qW7tpu9GSJlfMcD0kSVKfQQfifCDwpdmsiCRJ0hRWOx5JckiSHZMsTbJVkoOBXYDjuvkHJzmtZ5HjgZuBY5JsmWRP4EDAO4dIkjQHBk1afBLYfTYrIkmSNIWZiEc2AI6ljWtxGvAk4BlV9eVu/obAJmOFq+oGWsuKjYDzgCOBw4DDV7MekiRpAIN2D/k/4G1J/ph2D/M7emdWlSduSZI021Y7HqmqfaY7v7uzyE7TqagkSZoZgyYt9qXdEuwp3aNXsQpXG5K8AXgncGRV/c0k5bYCjgC2Ba4DPgi8wyaZkiSNnBmPRyRJ0nAbKGlRVY+cyY0meTLtVmAXTFHugcCpwFm05pubAR8DbqI1zZQkSSNipuMRSZI0/AYd02LGJHkQbbCrlwHXT1F8L2AdYO+quqiqPg0cChyQJLNbU0mSJEmSNJ8mbGmR5P3AG6rqpu75hKrqNdPY5tHAp6vq9CRvnaLs9sDZVXVLz7RTgHcAS4GfTWO7kiRpgZnFeESSJC0Ak3UP2Qq4V8/ziQw8tkSSVwCbAi8acJENgJ/3TVveM2+lpEWS/WjdTliyZMmg1ZIkScNrxuMRSZK0cEyYtKiqp473fFUleQxt4M0dquqOqcqviqo6mtaSg2XLlhm8SJK0wM10PCJJkhaWQe8eMhO2B9YFftgzHMWawE5JXgncr6pu61vmGmD9vmnr98yTJEmSJEmL1FwOxPlZWrPOrXse5wEndM9vH2eZc4Edk6zdM2034GrgitmsrCRJkiRJml9zlrSoqt90dwC5+0G7del13etKcnCS03oWOx64GTgmyZZJ9gQOBA6vKrt/SJIkSdL/b+/e422p6/qPv96ABohYKQKaJxRFMCCQA0pyOaTkpfKnUFmhPzANzS7+RPOaIqARKjcVL5CKWJglVt4JEcjLUTlCAoGmIpQQx2MQChzAy+f3x8yGdTb7Moe91t5r7Xk9H495nLW+852Zz96zZ+/P+azvfEdaxhbz9pAutgd2nHpTVTcnORg4jWZUxk3AicBJSxOeJEmSJElaLEtatKiqVdPeHzFDn8uBAxYpJEmSJEmSNCZmLVok6fzM0Kr6z+GEI0mSdDfzEUmS+m2ukRbX0P2Z55suPBRJkqR7uAbzEUmSemuuosXeA693At4EvIvmiR7QPML0BcArRhOaJEmS+YgkSX02a9Giqr469TrJScBLqurDA10+m+QbwIuBD44uREmS1FfmI5Ik9VvXR57uA1w2Q/tlwF7DC0eSJGlW5iOSJPVM16LFNcCLZmh/EXDt0KKRJEma3TWYj0iS1CtdH3n6EuAfkzwF+FLb9jhgB+CQEcQlSZI0nfmIJEk902mkRVV9GngU8BFg63b5CLBTVX1qdOFJkiQ1zEckSeqfriMtqKrvAq8eYSySJElzMh+RJKlfus5pQZLdkrw9ySeTbN+2PSPJnqMLT5Ik6W7mI5Ik9UunokWSXwMuBh4KPBHYol21I3D0aEKTJEm6m/mIJEn903WkxXHAUVX1TODOgfYLaR4/JkmSNGrmI5Ik9UzXosWuwCdnaL8R+PnhhSNJkjQr8xFJknqma9HiRpqhmNM9Fvju8MKRJEmalfmIJEk907VocTbw5iS/ABSwWZIDgbcAZ40qOEmSpAHmI5Ik9UzXosVfAN8BrgW2Aq4EPgt8HnjjaEKTJEnagPmIJEk9s1mXTlX1I+CwJK8D9qQpdlxaVd8cZXCSJElTzEckSeqfTkWLJM8APlZV3wa+PdqQJEmS7sl8RJKk/ul6e8jfAtclOSHJTqMMSJIkaRbmI5Ik9UzXosV2wNHAgcBVST6f5LlJ7je60CRJkjZgPiJJUs90KlpU1Q+r6t1V9Xhgd+DLwPHAfyc5I8njRxmkJEmS+YgkSf3TdaTFXarq34GTgdOB+wLPAj6X5MtJdh9yfJIkSfdgPiJJUj90LlokuU+S30nyaZrHjf0q8EJgW+AXgauAD40kSkmSJMxHJEnqm65PD3kb8HtAAR8AjqqqKwe6rE/ySuD64YcoSZJkPiJJUh91KloAjwH+BPhIVd05S5/vAwcNJSpJkqR7Mh+RJKlnOhUtquqJHfr8GLhowRFJkiTNwHxEkqT+2Zg5LXZPclaSNUkuTvL+JLuOMjhJkqRB5iOSJPVLp6JFkqcDlwAPAz4FfBpYAVya5DdHF54kSVLDfESSpP7pOqfFG4A3VtXRg41Jjm3XfWzYgUmSJE1jPiJJUs90vT1kJ5pZuqf7APDo4YUjSZI0K/MRSZJ6pmvR4nvAXjO07wWsHV44kiRJszIfkSSpZ7reHnIG8O4kjwS+2LY9AXgZ8OZRBCZJkjSN+YgkST2zMXNa3AK8FDiubbseOBp46wjikiRJms58RJKknulUtKiqAk4GTk5y/7bth6MMTJIkaZD5iCRJ/dN1pMVdTA4kSdJSMx+RJKkfZi1aJLkcqC47qardhxaRJElSy3xEkqR+m2ukxYcXLQpJkqSZmY9IktRjsxYtquqYxQxEkiRpOvMRSZL6baPmtEiyI7BL+/aqqvr28EOSJEmanfmIJEn90alokeSBwHuApwM/vbs5Hwf+oKr+Z0TxSZIkAeYjkiT10SYd+/018Ehgf2DzdjkAeDhwxmhCkyRJ2oD5iCRJPdP19pAnA0+sqtUDbV9I8gLgM8MPS5Ik6R7MRyRJ6pmuIy3WAbfO0H4b4FBMSZK0GMxHJEnqma5Fi2OBU5I8dKqhfX1iu06SJGnUzEckSeqZrreH/D9gB+CaJNe1bQ8FbgcenOTPpjpW1e5DjVCSJKlhPiJJUs90LVp8eKRRSJIkzc98RJKknulUtKiqY0YdiCRJ0lzMRyRJ6p+uc1rcJcnmSbYcXDpu98dJLkvyg3ZZneTX59lmtyQXJVmf5Lokr0uSjY1ZkiQtL/c2H5EkSZOlU9EiyS8m+eckP6CZtfuH05Yuvgu8AngssBL4LPBPSWa85zTJ1sB5wFpgb+DFwJ8DR3U8niRJWkaGlI9IkqQJ0nVOi78BNgf+lKaIUBt7oKr652lNr0nyR8C+wGUzbHIYsCVweFWtB65IsjNwVJKTqmqjY5AkSRNtwfmIJEmaLF2LFnsCe1fVVcM4aJJNgd8GtgK+OEu3fYHPtQWLKecCx9HMHP6dYcQiSZImxlDzEUmSNP66zmnxNWCbhR6snaPiFuAO4F3AM6vq8lm6b0fzKcqgtQPrZtr/kUnWJFmzbt26hYYrSZLGy1DyEUmSNDm6jrQ4EnhrkrcCVwA/GlxZVf/ZcT/fAPYAHgD8FvD+JKuq6oqO28+pqk4HTgdYuXKlQ0YlSVpehpWPSJKkCdG1aLEJsC3wj2x4/2ja95t22UlV3Ql8q3371SR7Ay8BnjdD9xvaYw7admCdJEnql6HkI5IkaXJ0LVq8H/gezdM/hjnx1SbAz8yybjVwQpLNq+r2tu1g4HrgmiEdX5IkTY5R5SOSJGlMdS1a7AzsUVX/cW8PlOSvgE8A/wXcH/h9YBXw6+3644F9quqJ7SZnA0cDZyZ5A7AT8ErgGJ8cIklSLy04H5EkSZOla9HiK8DDgYUkCdvRPKpsO+BmmsecPrWqzm3Xbw/sONW5qm5OcjBwGrAGuAk4EThpATFIkqTJNYx8RJIkTZCuRYt3AqckORG4nHtOfHXJfDuoqiM2dn37ZJEDOsYoSZKWtwXnI5IkabJ0LVp8sP339BnWOfGVJElaDOYjkiT1TNeixcNHGoUkSdL8FpyPJHkVcAjwaOAO4EvAq+Z7/HqS3YC3A/sANwLvBo5zni1JkkarU9Giqq4ddSCSJElzGVI+sgp4B3AxzaNSjwU+k+QxVXXjTBsk2Ro4D/hXYG+aCUHfB9xKM9+WJEkakU26dkzy1CQfT3Jlkoe1bc9P8sT5tpUkSRqGheYjVfXkqnpfVV3Rzp31HGAb4AlzbHYYsCVweLvdh4ETgKOSZGFfkSRJmkunokWSw4C/B75JMzTzPu2qTYGXjyY0SZKku40oH7k/TT500xx99gU+V1XrB9rOBR4C7HAvjytJkjroOtLi5cAfVtVLgB8PtH8J2GPoUUmSJN3TKPKRU4F/A1bP0Wc7YO20trUD6yRJ0oh0nYjzUcz8x/wWYOvhhSNJkjSroeYjSU4C9gP2q6qfLDC2wf0eCRwJsGLFimHtVpKkXuo60uJ6YKcZ2g8Avj28cCRJkmY1tHwkycnA7wG/WlVXz9P9BmDbaW3bDqzbQFWdXlUrq2rlNttsszFhSZKkaboWLU4H3ppkapKqhyU5HHgT8M6RRCZJkrShoeQjSU7l7oLF1ztsshrYP8nmA20H0xRRrul6XEmStPG6PvL0TUkeQPO4r82BC2iebf6WqjpthPFJkiQBw8lHkpxG88SQZwA3JZmak+KWqrql7XM8sE9VTT2R5GzgaODMJG+gGe3xSuCYqqrhfHWSJGkmXee0oKpek+SNwGNoRmhcOfXHXZIkaTEMIR95Ufvv+dPajwFe377eHthx4Jg3JzkYOA1YQ/OkkROBkzb6C5AkSRulc9ECoKpuo/ljLUmStCQWko9UVTr0OWKGtstp5s6QJEmLqOucFpIkSZIkSYvKooUkSZIkSRpLFi0kSZIkSdJYsmghSZIkSZLGUueJOJNsCewBPJhpxY6q+siQ45IkSboH8xFJkvqlU9EiyZOADwIPnGF1AZsOMyhJkqTpzEckSeqfrreHnAp8AviFqtpk2mKCIEmSFoP5iCRJPdP19pAdgKdX1fUjjEWSJGkuO2A+IklSr3QdafEF4NGjDESSJGke5iOSJPVM15EW7wLekuQhwOXAjwZXVtUlww5MkiRpGvMRSZJ6pmvR4sPtv6fPsM6JryRJ0mIwH5EkqWe6Fi0ePtIoJEmS5mc+IklSz3QqWlTVtaMORJIkaS7mI5Ik9U/XiThJsnuSs5KsSXJxkvcn2XWUwUmSJA0yH5EkqV86FS2SPB24BHgY8Cng08AK4NIkvzm68CRJkhrmI5Ik9U/XOS3eALyxqo4ebExybLvuY8MOTJIkaRrzEUmSeqbr7SE7AR+Yof0D+Lx0SZK0OMxHJEnqma5Fi+8Be83QvhewdnjhSJIkzcp8RJKknul6e8gZwLuTPBL4Ytv2BOBlwJtHEZgkSdI05iOSJPXMxsxpcQvwUuC4tu164GjgrSOIS5IkaTrzEUmSeqZT0aKqCjgZODnJ/du2H44yMEmSpEHmI5Ik9U/XkRZ3MTmQJElLzXxEkqR+mLVokeQy4MCquinJ5UDN1reqdh9FcJIkqd/MRyRJ6re5RlqcA9wx8HrWJEGSJGlEzEckSeqxWYsWVXXMwOvXL0o0kiRJA8xHJEnqt026dEry2SQ/O0P71kk+O/ywJEmSNmQ+IklS/3QqWgCrgPvO0L45sP/QopEkSZrdKsxHJEnqlTmfHpLksQNvd09y48D7TYEnA9eNIjBJkiQwH5Ekqc/me+TpGpoJrwr4lxnWrwf+dNhBSZIkDTAfkSSpp+YrWjwcCHA1sA+wbmDdncD3quonI4pNkiQJzEckSeqtOYsWVXVt+7Lr3BeSJElDZT4iSVJ/zTfS4i5JNqP5dGMF0ybBqqqzhhyXJEnSPZiPSJLUL52KFkl2Bj7G3cMzf9Ju+yPgDsAkQZIkjZT5iCRJ/dN1mOUpwFeBBwC3AbsAK4F/Aw4dTWiSJEkbMB+RJKlnut4esjdwYFXdmuSnwGZVdUmSlwNvA3YfWYSSJEkN8xFJknqm60iL0HyiAc2M3Q9tX38XeGSnHSSvSnJxkh8kWZfkY0l27bDdbkkuSrI+yXVJXpckHeOWJEnLx4LzEUmSNFm6jrS4AvhlmkeNfQV4RZKfAH8IfKvjPlYB7wAupkk6jgU+k+QxVXXjTBsk2Ro4D/hXmk9XdgbeB9wKnNjxuJIkaXkYRj4iSZImSNeixRuB+7Wv/wL4BHAB8H3gd7rsoKqePPg+yXOAm4En0EyqNZPDgC2Bw6tqPXBFOwnXUUlOqqrqGL8kSZp8C85HJEnSZOlUtKiqcwdeXw3skuTngZsWUDi4P83tKTfN0Wdf4HNtwWLKucBxwA7Ad+7lsSVJ0oQZUT4iSZLGWNc5Le6hqm5cYIJwKs1s36vn6LMdsHZa29qBdRtIcmSSNUnWrFu3bgGhSZKkSTCEfESSJI2xWUdaJPlo151U1dM35qBJTgL2A/arqp9szLbzxHE6cDrAypUrTWAkSZpwo8xHJEnS+Jvr9pD/GcUBk5wM/C5wUDu0cy43ANtOa9t2YJ0kSVreRpKPSJKkyTBr0aKqnjvsgyU5FXgWTcHi6x02WQ2ckGTzqrq9bTsYuB64ZtjxSZKk8TKKfESSJE2Oez2nxcZKchrwXOD3gZuSbNcuWw30OT7J+QObnU3zPPYzk+ya5BDglYBPDpEkSZIkaZnr9PSQ+e4n7XgP6Yvaf8+f1n4M8Pr29fbAjgP7vTnJwcBpwBqaJ42cCJzU4XiSJGkZGVI+IkmSJkinogX3vJ/0PsAvAw8DPtJlB1WVDn2OmKHtcuCALseQJEnL2oLzEUmSNFk6FS1mu580yYnAD4YakSRJ0gzMRyRJ6p+FzmnxbuCPhxGIJEnSvWQ+IknSMrXQosWjhxKFJEnSvWc+IknSMtV1Is63Tm+imTTzqcB7hx2UJEnSdOYjkiT1T9eJOHeb9v6nwDrgJZgkSJKkxWE+IklSz3SdiPOgUQciSZI0F/MRSZL6p+tICwCSbAHs2L79dlWtH35IkiRJszMfkSSpPzpNxJnkZ5KcAtwIfA24DLgxyalJNh9lgJIkSWA+IklSH3UdafFO4NeA5wOr27Z9geOB+wN/MPzQJEmSNmA+IklSz3QtWvw2cEhVnTfQdnWS7wHnYJIgSZJGz3xEkqSe6XR7CHArcN0M7dcB3kcqSZIWg/mIJEk907Vo8Tbg6HbiK+CuSbBe266TJEkaNfMRSZJ6puvtIY8HDgSuS3JZ27Zbu/39knx0qmNVPX24IUqSJAHmI5Ik9U7XosX3ae4VHfSdIcciSZI0F/MRSZJ6plPRoqqeO+pAJEmS5mI+IklS/3QdaQFAkkcAjwEKuKqqrh5JVJIkSbMwH5EkqT86FS2SbA28BzgU+OndzTkHeF5V/XBE8UmSJAHmI5Ik9VHXp4ecCuwOHARs0S5PbNtOGU1okiRJGzAfkSSpZ7oWLZ4OPL+qLqqqH7XLhcCRwDNGFp0kSdLdzEckSeqZrkWLLYD/maH9RmDz4YUjSZI0K/MRSZJ6pmvR4gvAcUm2nGpIcj/gGOCLowhMkiRpGvMRSZJ6puvTQ14CnAtcl+Sytm034DbgyaMITJIkaRrzEUmSeqZT0aKqrkjyKOAwYOe2+QPA31bV+lEFJ0mSNMV8RJKk/uk60oKqug04Y4SxSJIkzcl8RJKkfuk6pwVJHpvkrCRr2uUDSR47yuAkSZIGDSMfSXJAko8muS5JJTmiwza7Jbkoyfp2u9clyb3+QiRJUiedihZJDgMuBrYHPtku2wJfSfLs0YUnSZLUGGI+shVwBfBiYN7bSpJsDZwHrAX2brf7c+CojYlfkiRtvK63h7wReG1V/eVgY5JXAW8A/mbYgUmSJE0zlHykqqYKHiQ5s8MmhwFbAoe3c2dckWRn4KgkJ1VVdf8SJEnSxuh6e8g2wN/P0P4PwIOHF44kSdKsliof2Rf43LTJPs8FHgLsMMLjSpLUe12LFhcAq2ZoXwVcNKxgJEmS5rBU+ch2NLeGDFo7sE6SJI1I19tDPgUcn2Ql8KW27fHAIcDrkxwy1bGqPjLcECVJkoAJyUeSHAkcCbBixYqlCkOSpGWha9Hibe2/d/0RHvD2gdcFbLrQoCRJkmawVPnIDTQTfg7admDdBqrqdOB0gJUrVzrfhSRJC9CpaFFVnR+NKkmSNApLmI+sBk5IsnlV3d62HQxcD1yzRDFJktQLFiMkSVKvJNkqyR5J9qDJhVa071e0649Pcv7AJmcDtwFnJtm1vQ3llYBPDpEkacQsWkiSpL5ZCVzaLlsAx7Svj23Xbw/sONW5qm6mGVnxEGANcBpwInDS4oUsSVI/dZ3TQpIkaVmoqguBzLH+iBnaLgcOGF1UkiRpJo60kCRJkiRJY8mihSRJkiRJGksbfXtIkl8CVtE8SuzzVXXJsIOSJEmai/mIJEn9sFEjLZK8ALgAOBD4VeDCJC8fRWCSJEkzMR+RJKk/5hxpkWSbqlo30PRnwO5VdUO7fn/gHOBNowtRkiT1mfmIJEn9Nd9Ii68kOWLg/W3AzgPvHwP8YNhBSZIkDTAfkSSpp+ab02I/4O1JngP8Ic0nG/+Q5D7ttj8GnjPaECVJUs+Zj0iS1FNzFi2q6jrgmUkOBc4DzgB2AnakGaXxjaq6feRRSpKk3jIfkSSpvzpNxFlV5wB7AjsAXwA2r6qvmSBIkqTFYj4iSVL/zPvI0yRPA3YBvlZVL0yyH/DeJOcDr6mqW0cdpCRJ6jfzEUmS+mnOkRZJTgTeB+wNvDvJa6vq88BewM3ApW0SIUmSNBLmI5Ik9dd8t4ccATytqn6XJlF4DkBV3VlVRwPPAF410gglSVLfHYH5iCRJvTRf0eJW4OHt64cBG9wzWlVXVtX+XQ+W5IAkH01yXZKa9viy2bbZLclFSda3270uSboeU5IkTbyh5iOSJGlyzFe0eBVwVpLrgYuA1y7weFsBVwAvBtbP1znJ1jSzhK+l+WTlxcCfA0ctMA5JkjQ5hp2PSJKkCTHfI0//NsmngUcA36yq/13Iwarqk8AnAZKc2WGTw4AtgcOraj1wRZKdgaOSnFRVtZB4JEnS+Bt2PiJJkibHvI88rar/qaqLlyhB2Bf4XFuwmHIu8BCax51JkqQeWOJ8RJIkLZF5ixZLbDuaW0MGrR1YJ0mSJEmSlqlxL1pslCRHJlmTZM26deuWOhxJkiRJkrQA4160uAHYdlrbtgPrNlBVp1fVyqpauc0224w8OEmSJEmSNDrjXrRYDeyfZPOBtoOB64FrliQiSZIkSZK0KBa1aJFkqyR7JNmjPfaK9v2Kdv3xSc4f2ORs4DbgzCS7JjkEeCXgk0MkSZIkSVrmFnukxUrg0nbZAjimfX1su357YMepzlV1M83IiocAa4DTgBOBkxYvZEmSJEmStBQ2W8yDVdWFQOZYf8QMbZcDB4wuKkmSJEmSNI7GfU4LSZIkSZLUUxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksWbSQJEmSJEljyaKFJEmSJEkaSxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksWbSQJEmSJEljyaKFJEmSJEkaSxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksWbSQJEmSJEljyaKFJEmSJEkaSxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksWbSQJEmSJEljyaKFJEmSJEkaSxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksWbSQJEmSJEljyaKFJEmSJLPFb8oAAAxsSURBVEkaSxYtJEmSJEnSWLJoIUmSJEmSxpJFC0mSJEmSNJYsWkiSJEmSpLFk0UKSJEmSJI0lixaSJEmSJGksLXrRIsmLknwnye1Jvppk/3n6H9j2uz3J1UleuFixSpKk5cl8RJKkybCoRYskzwJOBf4S2BP4IvCpJCtm6f9w4JNtvz2B44G3JTl0cSKWJEnLjfmIJEmTY7FHWhwFnFlVZ1TVVVX1p8B/A380S/8XAtdX1Z+2/c8A3g+8bJHilSRJy4/5iCRJE2LRihZJ7gvsBfzLtFX/AvzKLJvtO0P/c4GVSe4z3AglSdJyZz4iSdJkWcyRFg8CNgXWTmtfC2w3yzbbzdJ/s3Z/kiRJG8N8RJKkCbLZUgcwTEmOBI5s396S5BtLGc8YeBDw/aUOoqucsNQRjAXP2eTxnE2miTlvIzpnvziSvQowH5lB36+3STQx5ww8by3P2eTxnHXMRxazaPF94CfAttPatwVumGWbG2bp/2NmOMFVdTpw+sLCXD6SrKmqlUsdh7rznE0ez9lk8rz1mvnIIvN6mzyes8njOZs8nrPuFu32kKq6E/gqcPC0VQfTzMY9k9Wz9F9TVT8aboSSJGm5Mx+RJGmyLPbTQ04Cjkjy/CS7JDkVeAjwLoAkZyU5a6D/u4CHJjml7f984AjgLYsctyRJWj7MRyRJmhCLOqdFVX0oyQOBvwC2B64AnlZV17ZdVkzr/50kTwNOpnkM2fXAn1XVOYsY9iRzaOrk8ZxNHs/ZZPK89Zj5yKLzeps8nrPJ4zmbPJ6zjlJVSx2DJEmSJEnSPSz27SGSJEmSJEmdWLRYhpLskKSSjHw22iQfT3LmqI/TZ0nOTPLxRTjOyvbnZodRH2u58ZqbTIt53qQ+8nfj8mI+Mv685iaT+cj8LFossvYXfs2wfGmpY+u7gXPz2mntq9r2B23Evvzls0SSbJPkHUmuSXJHkrVJzk8yfeb/e7v/C5O8fRj7UjdJXpDk1iT3HWi7b5Lbklwxre8j22vviYsfqTQ5zEfGl/nI8mA+svyYjywdixZL4zM0E38NLk9b0og05Xbgz5NsM+oDJbnPqI/RU+cA+wDPA3YCfgP4FPDApQxKC3IBsCXNeZ3yOOBm4FHTrteDgDuALyxeeNLEMh8ZX+Yjk898ZPkxH1kiFi2Wxh1VdcO05UaAtiJ3ZJJ/aCt5Vyd59uDGSR6X5JIktye5NMnT2u1WzXSwJJsmeU+S7yRZn+SbSV6eZJOBPme2w7xenOS6JDcleV+SLQf6bNn2u6WtFr96RN+fpXQBcA3w2nn6bZSBTzp+L8lnk6wHXtCu+5UkF7VV2uuSvDPJ1nPs6ylJPteeoxuTnJtklxmOdWiS89r9Xjm9st/u5+vtz9HnaP6gTrQkPwvsD7yyqs6vqmur6uKqektV/V3b575J/jLJte0nH1cn+bOBfRyQ5Mvt92VtkpOnKupphkEeCPzxwKeSO8wQh9fcEFXVf9A8reGggeaDgPOBNcCqae2rq+r2JM9OcnGSHyb5Xvt79aFzHSvJY5J8YmCbDybZbmD9bmk+KftBe16+luSgufYpjTHzkfFlPjLBzEeWJ/ORpWPRYjy9Dvhn4JeBDwHvTbICIMlWwMeBrwN7AS8H3jzP/jYBrgN+B9gFeA3wauC50/rtD+wKPAl4FvBM4MUD698CHAwcCjwR2BM44N58gWPsp8ArgRcm2XEE+z8eeAfwGOCfkuwG/AvwUZrzfQiwB/DeOfZxP+AUmirvKprq7scyMFSt9Ubgre1+Lwb+rv35IcnDgH8CzmuP9zbgTQv/8pbcLe3y9CSbz9Ln/cD/BY6iuR6eB/wvQPsH5FPApTQ/388Dfo/mvEFzPawG3sfdn0r+1wzH8Jobvgu4Z5JwYbsMtq9q+wLcFzia5hr4DeBBwAdnO0CS7YF/pXn85T4052Ur4J8HEryzgf9u1+8BvJ7mE1FpOTIfWTrmI5PNfGT5Mh9ZClXlsogLcCbwY+7+ZTa1nNCuL+D4gf6bAbcBz27fvwC4EdhioM/vt9utat/v0L5fOUccfwV8Zlpc/wVsOtB2xlQfmgvlDuCwgfVb0fxyPXOpv69DPDcfb19fAPxd+3pV+/180Ebsa4NzMPD+pdP6nQW8Z1rbHm3fB0+Pa5Zj3Q/4CbDftGO9YKDPQ9u2qT5/CfwH7WOP27a/aPvssNTnYoHn8dD2Grmd5g/6W4DHtese1X6NT5ll2zcC3wQ2GWg7ov3Z37J9fyHw9rnO9yz79ppb2Hl9HrAe+Blg8/b8PhL4NeCqts/Ogz/nM+xjav0vzHTegGOB86dt83Ntn33a9z8ADl/q74eLy0IXzEfGdsF8xHzEfGRsF8xHlmTZDC2FfwWOnNb2vwOvL5t6UVU/TrIOeHDbtDNwRVWtH+j/5fkOmOSFwPOBXwS2AO4DXDut25VV9ZOB99fT3KcFsCNNlXD1QGy3JLl8vmNPqFcAq5PM96nRxloz7f1ewCOTPGugLe2/OwLfm76D9hOX42jOzTY0VfRNgBXTul428Pr69t+pn6NdgC9V+1uvtZploKrOSfIJmk8N9gWeArw0yWuAb9F8enXBLJtPfV9+OtD2eZqf/Uey4fd0Tl5zQ/dZmuRgX5prZF1VfSvJfwM7tkMmD6L5T9WXAZI8luaTjT2An+fua2sF8N0ZjrEXcECSW2ZYtyPwFeAk4K+THE4zHPScqvr6cL5EadGZj4w/85EJZT6ybJmPLAFvD1kat1XVt6Yt3x9Y/6Np/YsFnKv2D9ApNJXUJ9NcMO+g+QU0aKjHnWRV9RWaCZSGPUTx1mnvNwH+muacTC2/TFOB/7dZ9vFxmuTgBTR/UPak+bRs1vM5kAz04nxW1e1VdV5VHVtVvwK8h2bY3IJ227Wj19zwVdV3aJKsVe1yUdt+K/DVgfbPV9WPktwPOJcmaXgOsDdNwgj3PA9TNgE+wYbX4x401+PH2+O9nnY4NfArwGVJ/mBIX6a02MxHxpz5yGQzH1l+zEeWhiMtJs/XgcOTbDHw6cY+c20A7Ad8uarueizSvbg/8ts0v9AeD1zd7uN+NPe/fXsj9zUpXg1cyd2/WEbhEuCXqupbXToneSDNp1svqqoL2rbHsvHX8lXAoUkykEA8fiP3MUmupPkefZ3mD8FBwKdn6HcV8DtJNhn4dGM/4E7u/jm/E9h0nuN5zY3GBTTnLjRDmadcCPwqTZJwUtu2M809o69uEwySHDLP/i+hue/32qqansDdpaq+STNs961J3knzCdZc931Ly5H5yOIxH1k+zEeWB/ORRWYFbWn8TJLtpi1dH2l1Ns39gme0s8o+ieaPGcxeef0P4LFJnprkUWme+33gxgRcVbfQVIdPSHJwkl+iuSjm+2U5sdo/3Kez4UREAKSZ5fpPhnCYE4B9krwryZ5pnun8G0nePUv/m4DvA3/Y9j0QeBfNJxsb410098+dkuTRSX4LeOG9/BrGRpIHppkN/dlJdk/y8CS/TTNB3PlVdRnw9zTD6Q5t1++f5DntLt4BPAR4R5Jdkvw6zb2fb6+q29o+19Ccsx2SPGhgQqRBXnOjcQFN0vQ4msRgykXA79IMN54aavufNPfg/kmSR7Tn8rh59n8a8ADgQ2meivCIJE9KcnqS+yfZIslpSVa15/9xNAnhlUP7CqXFZT4yAcxHJo/5yLJnPrLILFosjSfRzPY6uFzaZcOq+iHwm8Avtdu8mbuHmc02Y+y7aX4xnk0za/MOwIn3Iu6X0VyA/9j+ewXN/bDL2bHM/Af40TRV0wVp/2gdQHNOLgK+RjMz9NpZ+v+UZlbn3Wm+/6fRPA7tjo087n/SzAz+lPaYL6GZpXzS3QJ8iSaxuwj4d5pJvs6m+b5BM1P32TQzmX+dZsjkAwCq6jrgqTRDXP+N5o/yB7k7EYdmIq07af4wrOOe9+6C19yoXEAzlPJ70z4N/DzNfbo/oBmaSVWtAw4HnkFzro6mmaF9VlV1PfAEmvuMP03z83MazfV1B81/0H6O5mfmGzTnZfV8+5XGmPnI5DAfmSzmI8ub+cgiy4bz3mgSJfk/ND+sD552L6okSdKiMB+RJI2Cc1pMoDSzxF5N83iiXWkm2PmYCYIkSVos5iOSpMVg0WIybQscA2wP3EAzu+wrljQiSZLUN+YjkqSR8/YQSZIkSZI0lpyIU5IkSZIkjSWLFpIkSZIkaSxZtJAkSZIkSWPJooUkSZIkSRpLFi0kSZIkSdJYsmghSZIkSZLG0v8H+lgc0n0XEDEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x1728 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# List employment sectors\n",
    "# to be visualised in plot\n",
    "sectors = [\n",
    "    \"Information_and_communication\",\n",
    "    \"Mining_and_quarrying\",\n",
    "    \"Agriculture_forestry_and_fishing\",\n",
    "    \"Human_health_and_social_work_activities\",\n",
    "    \"Accommodation_and_food_service_activities\",\n",
    "    \"Financial_and_insurance_activities\",\n",
    "]\n",
    "\n",
    "# Specify overall width and\n",
    "# height of the figure\n",
    "num_subplots = len(sectors)\n",
    "fig_width = 18\n",
    "fig_height = 4 * num_subplots\n",
    "\n",
    "# Specify the arrangement of subplots\n",
    "num_subplot_cols = 2\n",
    "num_subplot_rows = ceil(float(num_subplots) / num_subplot_cols)\n",
    "\n",
    "# Initialise figure\n",
    "fig = plt.figure(figsize=(fig_width, fig_height))\n",
    "\n",
    "# Add subplots\n",
    "for i, sector in enumerate(sectors):\n",
    "    ax = fig.add_subplot(num_subplot_rows, num_subplot_cols, i + 1)\n",
    "    plot_sector(\n",
    "        ax,\n",
    "        sector,\n",
    "        ratio_sector_england[sector],\n",
    "        ratio_sector_northern_ireland[sector],\n",
    "        ratio_sector_scotland[sector],\n",
    "        ratio_sector_wales[sector],\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this broad level, we see some interesting trends:\n",
    "\n",
    "* England is more heavily dependent on the service industries than the other countries, especially in the information and communication sectors. \n",
    "\n",
    "* \"Mining and quarrying\" is much larger in Scotland due to oil and gas extraction in the North Sea.\n",
    "\n",
    "* The agriculture, forestry and fishing industries have almost completely disappeared in England with almost sixteen times more people employed in health and social work activities. \n",
    "\n",
    "* Accommodation and food-service activities employ a greater fraction of the working population in Scotland and Wales. This is probably linked to the importance of tourism for the economy of these regions. \n",
    "\n",
    "* The census has many additional variables (age, gender, education), and a finer level of detail than \"Country\". For example, Scotland shows a higher level of employment in financial and insurance services than England; however, if we were to further split England into regions, we would observe that these jobs show a significant concentration in London over the rest of the UK. "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}