nyc_schools/Analyzing NYC High School Data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Analyzing NYC High School Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The SAT (Schoolastic Aptitude Test) is administered during the senior year of high school. Colleges across the country rely on SAT  scores as one of their key admission critera.\n",
    "\n",
    "A college degree is important to unlocking increased opportunities for social and economic advancement. Because of the SAT's importance in the college admissions process it come under increased scrutiny and concern that it may help perpetuate societal inequality, rather than reducing it, by being subject to various biases.\n",
    "\n",
    "We will use data published by the New York City Public schools in order to investigate some of these questions and explore some of the demographic factors that may be connected to variations in SAT scores. The inital dataset covers  435 highschools with over 100 pieces of information on school performance, programs and student demographics for each school.\n",
    "\n",
    "We start by analyzing all the factors and identifying those with the strongest relationship to SAT performance. Then we drill into specific areas of interest.\n",
    "\n",
    "* Subsidized school lunch in relationship to SAT scores and other factors\n",
    "* How the results of a survey of students, parents and teachers relate to SAT performance\n",
    "* The school safety ratings from those surveys and how they relate to SAT scores\n",
    "* The relationship between students receiving subsidized school lunch and SAT scores\n",
    "* Racial differences in SAT Scores\n",
    "* SAT performance by hispanic students\n",
    "* Gender differences in SAT performance\n",
    "* The relationship between SAT test scores and participation in AP (Advanced Placement) testing\n",
    "* Relationships between class size and SAT performance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Caveat: This analysis looks at relationships between SAT scores and other factors. These relationships could exist because of coincidence, or because they stem from the same underlying cause, or because one is the cause of the other.  This analysis can't distinguish among them.\n",
    "\n",
    "**The single strongest relationship to SAT scores is the socioeconomic status of students.** New York City Schools reports the percentage of students receiving free or reduced price school lunch at each high school. If we compare this percentage to average SAT scores at each school, we find that the more students qualifying for subsidized school lunch programs the lower the schools SAT scores.\n",
    "\n",
    "Other factors:\n",
    "\n",
    "* Schools with higher proportions of asian and white students tend to have higher average SAT scores, while schools with higher proportions of black and hispanic students tend to have lower average SAT scores. *However, no racial/ethnic component is as strongly related to SAT scores as the percentage of students receiving free or reduced-cost school lunch*.\n",
    "\n",
    "* Schools with larger proportions of hispanic students generally cater to new immigrants and have a significant % of students who are learning English. They also tend to have more students receiving free or reduced-cost school lunch.\n",
    "\n",
    "* Schools with high proportions of students learning English tend to have low average SAT scores. The SAT is only administrered in English, so it makes sense that English language learners would be a strong disadvantage.\n",
    "\n",
    "* The gender makeup of schools does not appear to be closely related to SAT scores.\n",
    "\n",
    "* There is not an obvious relationship between SAT scores and the number of students taking AP exams.\n",
    "\n",
    "* By analyzing survey data, I found that student and teacher perceptions of school safety have some relationship to higher SAT scores, as do student perceptions of academic expectations.\n",
    "\n",
    "* Further investigating the student responses about school safety, I found that:\n",
    "  * Brooklyn, Queens and the Bronx all have school districts that get the highest safety ratings from students, and *also* have school districts that get lowest safety ratings. \n",
    "  * Staten Island's single district is slightly below the overall average.\n",
    "  * Manhattan's schools are all in the middle of the range, with no schools at either end of the extreme.\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "## Import libraries and configure notebook environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import numpy\n",
    "import pandas as pd\n",
    "from pandas.plotting import scatter_matrix\n",
    "import re\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "#pd.options.display.max_rows = 200\n",
    "pd.options.display.max_columns = 30"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Read in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "data_files = [\n",
    "    \"ap_2010.csv\",\n",
    "    \"class_size.csv\",\n",
    "    \"demographics.csv\",\n",
    "    \"graduation.csv\",\n",
    "    \"hs_directory.csv\",\n",
    "    \"sat_results.csv\"\n",
    "]\n",
    "\n",
    "data = {}\n",
    "\n",
    "for f in data_files:\n",
    "    d = pd.read_csv(\"schools/{0}\".format(f))\n",
    "    data[f.replace(\".csv\", \"\")] = d"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Read in the surveys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "all_survey = pd.read_csv(\"schools/survey_all.txt\", delimiter=\"\\t\", encoding='windows-1252')\n",
    "d75_survey = pd.read_csv(\"schools/survey_d75.txt\", delimiter=\"\\t\", encoding='windows-1252')\n",
    "survey = pd.concat([all_survey, d75_survey], axis=0)\n",
    "\n",
    "survey[\"DBN\"] = survey[\"dbn\"]\n",
    "\n",
    "survey_fields = [\n",
    "    \"DBN\", \n",
    "    \"rr_s\", \n",
    "    \"rr_t\", \n",
    "    \"rr_p\", \n",
    "    \"N_s\", \n",
    "    \"N_t\", \n",
    "    \"N_p\", \n",
    "    \"saf_p_11\", \n",
    "    \"com_p_11\", \n",
    "    \"eng_p_11\", \n",
    "    \"aca_p_11\", \n",
    "    \"saf_t_11\", \n",
    "    \"com_t_11\", \n",
    "    \"eng_t_11\", \n",
    "    \"aca_t_11\", \n",
    "    \"saf_s_11\", \n",
    "    \"com_s_11\", \n",
    "    \"eng_s_11\", \n",
    "    \"aca_s_11\", \n",
    "    \"saf_tot_11\", \n",
    "    \"com_tot_11\", \n",
    "    \"eng_tot_11\", \n",
    "    \"aca_tot_11\",\n",
    "]\n",
    "survey = survey.loc[:,survey_fields]\n",
    "data[\"survey\"] = survey"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Add DBN columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "data[\"hs_directory\"][\"DBN\"] = data[\"hs_directory\"][\"dbn\"]\n",
    "\n",
    "def pad_csd(num):\n",
    "    string_representation = str(num)\n",
    "    if len(string_representation) > 1:\n",
    "        return string_representation\n",
    "    else:\n",
    "        return \"0\" + string_representation\n",
    "    \n",
    "data[\"class_size\"][\"padded_csd\"] = data[\"class_size\"][\"CSD\"].apply(pad_csd)\n",
    "data[\"class_size\"][\"DBN\"] = data[\"class_size\"][\"padded_csd\"] + data[\"class_size\"][\"SCHOOL CODE\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Convert columns to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "cols = ['SAT Math Avg. Score', 'SAT Critical Reading Avg. Score', 'SAT Writing Avg. Score']\n",
    "for c in cols:\n",
    "    data[\"sat_results\"][c] = pd.to_numeric(data[\"sat_results\"][c], errors=\"coerce\")\n",
    "\n",
    "data['sat_results']['sat_score'] = data['sat_results'][cols[0]] + data['sat_results'][cols[1]] + data['sat_results'][cols[2]]\n",
    "\n",
    "def find_lat(loc):\n",
    "    coords = re.findall(\"\\(.+, .+\\)\", loc)\n",
    "    lat = coords[0].split(\",\")[0].replace(\"(\", \"\")\n",
    "    return lat\n",
    "\n",
    "def find_lon(loc):\n",
    "    coords = re.findall(\"\\(.+, .+\\)\", loc)\n",
    "    lon = coords[0].split(\",\")[1].replace(\")\", \"\").strip()\n",
    "    return lon\n",
    "\n",
    "data[\"hs_directory\"][\"lat\"] = data[\"hs_directory\"][\"Location 1\"].apply(find_lat)\n",
    "data[\"hs_directory\"][\"lon\"] = data[\"hs_directory\"][\"Location 1\"].apply(find_lon)\n",
    "\n",
    "data[\"hs_directory\"][\"lat\"] = pd.to_numeric(data[\"hs_directory\"][\"lat\"], errors=\"coerce\")\n",
    "data[\"hs_directory\"][\"lon\"] = pd.to_numeric(data[\"hs_directory\"][\"lon\"], errors=\"coerce\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Condense datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "class_size = data[\"class_size\"]\n",
    "class_size = class_size[class_size[\"GRADE \"] == \"09-12\"]\n",
    "class_size = class_size[class_size[\"PROGRAM TYPE\"] == \"GEN ED\"]\n",
    "\n",
    "class_size = class_size.groupby(\"DBN\").agg(numpy.mean)\n",
    "class_size.reset_index(inplace=True)\n",
    "data[\"class_size\"] = class_size\n",
    "\n",
    "data[\"demographics\"] = data[\"demographics\"][data[\"demographics\"][\"schoolyear\"] == 20112012]\n",
    "\n",
    "data[\"graduation\"] = data[\"graduation\"][data[\"graduation\"][\"Cohort\"] == \"2006\"]\n",
    "data[\"graduation\"] = data[\"graduation\"][data[\"graduation\"][\"Demographic\"] == \"Total Cohort\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Convert AP scores to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "cols = ['AP Test Takers ', 'Total Exams Taken', 'Number of Exams with scores 3 4 or 5']\n",
    "\n",
    "for col in cols:\n",
    "    data[\"ap_2010\"][col] = pd.to_numeric(data[\"ap_2010\"][col], errors=\"coerce\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Convert Graduation data to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 405 entries, 3 to 2494\n",
      "Data columns (total 23 columns):\n",
      " #   Column                              Non-Null Count  Dtype \n",
      "---  ------                              --------------  ----- \n",
      " 0   Demographic                         405 non-null    object\n",
      " 1   DBN                                 405 non-null    object\n",
      " 2   School Name                         405 non-null    object\n",
      " 3   Cohort                              405 non-null    object\n",
      " 4   Total Cohort                        405 non-null    int64 \n",
      " 5   Total Grads - n                     405 non-null    object\n",
      " 6   Total Grads - % of cohort           405 non-null    object\n",
      " 7   Total Regents - n                   405 non-null    object\n",
      " 8   Total Regents - % of cohort         405 non-null    object\n",
      " 9   Total Regents - % of grads          405 non-null    object\n",
      " 10  Advanced Regents - n                405 non-null    object\n",
      " 11  Advanced Regents - % of cohort      405 non-null    object\n",
      " 12  Advanced Regents - % of grads       405 non-null    object\n",
      " 13  Regents w/o Advanced - n            405 non-null    object\n",
      " 14  Regents w/o Advanced - % of cohort  405 non-null    object\n",
      " 15  Regents w/o Advanced - % of grads   405 non-null    object\n",
      " 16  Local - n                           405 non-null    object\n",
      " 17  Local - % of cohort                 405 non-null    object\n",
      " 18  Local - % of grads                  405 non-null    object\n",
      " 19  Still Enrolled - n                  405 non-null    object\n",
      " 20  Still Enrolled - % of cohort        405 non-null    object\n",
      " 21  Dropped Out - n                     405 non-null    object\n",
      " 22  Dropped Out - % of cohort           405 non-null    object\n",
      "dtypes: int64(1), object(22)\n",
      "memory usage: 75.9+ KB\n"
     ]
    }
   ],
   "source": [
    "data['graduation'].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "for col in data['graduation'].columns[5:]:\n",
    "    data['graduation'][col] = pd.to_numeric(data['graduation'][col].str.strip().str.replace('%',''), errors=\"coerce\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Combine the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "combined = data[\"sat_results\"]\n",
    "\n",
    "combined = combined.merge(data[\"ap_2010\"], on=\"DBN\", how=\"left\")\n",
    "combined = combined.merge(data[\"graduation\"], on=\"DBN\", how=\"left\")\n",
    "\n",
    "to_merge = [\"class_size\", \"demographics\", \"survey\", \"hs_directory\"]\n",
    "\n",
    "for m in to_merge:\n",
    "    combined = combined.merge(data[m], on=\"DBN\", how=\"inner\")\n",
    "\n",
    "combined = combined.fillna(combined.mean())\n",
    "combined = combined.dropna(axis=1, thresh=len(combined)*.25)\n",
    "combined = combined.fillna(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Add a school district column for mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "def get_first_two_chars(dbn):\n",
    "    return dbn[0:2]\n",
    "\n",
    "combined[\"school_dist\"] = combined[\"DBN\"].apply(get_first_two_chars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Find correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frl_percent                    -0.722225\n",
      "Local - % of grads             -0.494732\n",
      "Still Enrolled - % of cohort   -0.491914\n",
      "Local - % of cohort            -0.467951\n",
      "Dropped Out - % of cohort      -0.458537\n",
      "                                  ...   \n",
      "SAT Writing Avg. Score          0.987771\n",
      "sat_score                       1.000000\n",
      "schoolyear                           NaN\n",
      "grade_span_max                       NaN\n",
      "expgrade_span_max                    NaN\n",
      "Name: sat_score, Length: 80, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "correlations = combined.corr()\n",
    "#correlations = correlations\n",
    "print(correlations[\"sat_score\"].sort_values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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x1vFX4HhS8uM3wG3A27mE0znl0kqS5gG2B14Dfl1OGkXEB7USXZIWIiVEXgZOKLV7gDT7YC5SwqzsunLSICdT9gNeBw4sfedfkGZyBLBTWzctaVjVD2nhcjMzMzMzMzMzmwI4cWDTlIi4AliYNEB8DPAP0nO+NXC9pCF50HkCSYuRBuufiYgHC4duIQ2Ubi3pG90Ucq3szbo5lqVIC+IW12IYCvQv1JBvLXHwSDfEWM9zETGuYv/ovJ2zsG950iD/AxXt7+tA3+uSyvPcFhGvFvZfSirdMzCX1qlpydsBTGoA8Hk+rxhrZVx5sL7qHtotksNI3/dPgJNJMwHmJyVFhknao3DKiqRn+Z6I+LCNy9fu4d6I+Lzi+J2ldkVVz9ASpETD+8DheZ2HCT/AAcDHwFJtxGVmZmZmZmZmZlMBlyqyaU4eKL01/9RKqWxLqgf/M1LpmmsLp+xBeku9pXSd8ZIuIb1NPRCYZPHcLlIb/F+vtC3W0R8K/BhYXtLLpFr7r0bE0xXXe70bYqxnbJ39tVJAxbI5vYAxxTJBBW90oO/aLJCW4s6IGFMoMbUVae0F8hoIzwJbSpozIt6V1Bf4HqlM09ulWFuLqyPx1pVnXVyef5D0NeAQ4HDgVEnXR8QbpDUlAF6tuExZ7R5eq3O8tr93xbGqZ2juvF0cOKqVfmdv5RgAETHZwsyQZiIAfds638zMzMzMzMzMup9nHNg0LyK+yDMRTsq7JpT9yW+lD8y/Hi8pij9MXEy3+OZ3V8b2Mmnh3cUkfSvHNhYYUWhWm32wLmlmhKi/5kJ3LOLcFcYBc0mqSlbO254LSfomaQYJwGUV39m2+Vi5xNSFpHULts+/12YfDCm1q82iqBdXu+Jtr4j4MCKOIM14mBlYPR8am7cLNnCZ9/J2vjrH5y+1mySEVq53TUSolZ9FG4jNzMzMzMzMzMymcJ5xYF8l7+dtsVTRVsA8wDPUL5mzDrCEpLUj4u5uiOsOUtmd9YH+wN3F+vUR8bSk10mJg5cK53SFWq366Vtt1XkjSPGvRirHU7RGO681AJgJGAaMrNNmS2B9SYtGxIt534XA74EBks4DdgDeBm6siLUyrlwuarV2xttR5ef1EVK5p7Ukfa2NckUT7kHSDBUzPWpragxvMJanSYmLVSTNWKf8kZmZmZmZmZmZTSM848CmGZJ2kLRBYS2A4rH5mDhroDhwXXsr/ciI2L3qBziu1Lar1coSHUhaF+CuijZ3AWuSFryFrkscvJO3C3fR9eqpLWB8rKSZajsl9QKOaOe1at/jPq18Z2eRBtx3r50UEaNJn/UqwP7AN4FLKwbB7yfNAllH0ialY3uS6v1PRtLCkpaUNFsjNyHpN5KWqXNsDdLg/njgwRz/W8DfSLMF/lR+ziXNnj9PIuIV0mLLfUjrDxTbrQzsCLxLKtvVppx4ODX3fYqkWStinl/S0o1cz8zMzMzMzMzMpmyecWDTkpVJA8KvS7oPqL1pviiwGTArcB257r2kRUlv+b/NpGselF1OWrh2W0n7RcSYLo77TlJ5mO8Xfi+7i/SG/KKkRZwbqXPfiAeBj4ADJM3NxPr2p0ZEVRmbjrqQtADwxsDjkq4HZiSVFfoX8F3S2/StktSfNHD/n4hobSHo84DfAbtIOqrwxv0Q0nd+XOH3SUTEl5J2Jy2Ofb2kq0iJhB8AGwA3A5tUxHshsDZpwH9oW/cC7AScIOlp4CHSugNfA5Yhzc4QcFBE/K9wzr6kdRl+Tlow+5+kxaAXJS0IvmWh75+TkiB/lLQh8CjwLeBHOfZdIuJ9GncMsGy+7haS7iSttzAPae2D1Umf+ZPtuKaZmZmZmZmZmU2BnDiwacmJwHOkgeEfkAZSZyG9VT8UuJT0hnmthvvupMHZiyLis3oXjYgPJF1GetN9ABPXSugSEfGWpP/kmN8GHq9oVpyF0FWzDciLBG9LWvB2IGngGuBiquvfd7SfkLQNcBiwM7AfaaB8CHA6ac2CcXUvMFFttsG5bfQ3StLtpIH+LZj4Zv3VwF+BOYDHI6KyVE9EDJW0NnAsKekE8DApKbBT/r2ReFuzS772uqQSVfORnsdXgcuAMyJikvJZ+ftajTSLYHvSDIgvgNGkxb+fLLR9QdIKpEWWN819jCMlRP4vIv7VnmAj4nNJWwM/JT0rm5MWQ36LlKQ7ArikPdc0MzOznjdq8GZtNzIzMzOzrzxNHEM1M+t5kjYAbgUGR8ShzY6nLZLuJ81u6dXGOgPWDpKG9e3bt++wYcOaHYqZmZmZmZmZ2TShX79+DB8+fHhE9GvvuV7jwMx6hKQFKvbNDQzOvzZUb78nSJpNUu+K/QNJiyPf6qSBmZmZmZmZmZlNq1yqyMx6yp8lLQs8QCpvsxBprYC5gLPaWLOgpy0MjJB0G/A86b+VywNrAGOBg5oXmpmZmZmZmZmZWfdy4sDMesrVwLykNQd6A58AT5AWMj6veWFVeoNUr7+22PHMpIWjLyCtD/DfJsZmZmZmZmZmZmbWrZw4MLMeERFXAFc0O45GRMS7pMWzzczMzMzMzMzMvnK8xoGZmZmZmZmZmZmZmU3gxIGZmZmZmZmZmZmZmU3gxIGZmZmZmZmZmZmZmU3gxIGZmZmZmZmZmZmZmU3gxIE1jaShkqKd5wyUFJIGdlNYVX0Oyn3276k+e5qklnyPfQr7+uR9Lc2LzMzMzMzMzMzMzHqaEwdNIGl6SXtIulvSGEmfS3pT0r8lnStpyzbO3ykP6IakDUvHhhaONfLT0o64l5R0qqTHJb0n6TNJ/5N0o6TdJM3cwY+k2Ef/HNegzl6rWQqJhuLPJ5Kel3R2cXDeOkfStyR9kT/j45odT3tJ+pGkW/Lf/+eS3pH0pKSLJQ1odnxmZmZmZmZmZvbVNEOzA/iqkTQ98A9gY2AscCPwCjATsAywI7AkcH0rl9kTCED537cWjrUAQ0vttwaWBa4DRpaOlX+vF/eRwFGkZNODwBDgA2BeoD9wLrA3sEIj18t+BszWjvYA1wAPAa+187xmuJuJ38XcwLrAHsB2klaOiOeaFViDXgWWAt5rdiCt2J30TAawi6QjI2J8k2NqiKSzSc/Dx6T/DrxI+pteEtiC9Hc1pFnxmZmZ2bSpzyE3NjsEMzMzs6YbNXizZocwxXPioOftQEoaPAasHRGTDMpKmg1Yud7Jkr4LrAXcDswJbClp3oh4AyAiWirO6UNKHFxbdbwtkg4DjgZGAz+KiIcr2mwOHNSe60bEy+2NJX9eU/JAdtHQiBhU+0XSdMANwKbAYcAuTYqrIRHxOfB0s+OoJyfhdgXGARcD+wBbAlc3M65GSFqDlDR4BVg1Il4pHZ+RlDgwMzMzMzMzMzPrcS5V1PNWy9uWctIAICI+ioi7Wjl/j7y9gDS7YEZgYFcGWJSTDoOAz4FNq5IGABFRm0Ux4bxaKSRJS0i6PJdj+bK2VkB5jYNcNql270eVSv3Uzqm7xoGkhSSdIuk5SR/nMlCPSDqi1G6dXDLoSUnjctvHJR0laZaOfVJti4gvSd8ZwIoV8c8m6VBJIyV9KOkDSQ9K2qGi7UyS9pV0k6SXJH2a7/d2SZvUi0HS+pLuzdcfI+laSUvWaVu5xoEK6yFI2kvSf3Ippjfy59qrzvU2knR/uW9VrK/QoE2AhYDLgTPyvj2KDST9JF/7pDoxzSzpXUmvSZqhsL+XpJMlvZLv7WlJv5L07arPpANq/x24qpw0gJS0iYjb6sS8oaQb8t/Tp5JGS7pO0vqldtNJ+rmkf+Vn6cP8771zEqt83ch/k/MplUx7VakM1MBCm5UlXSnpdaVSZaMlnSVpgc59HGZmZmZmZmZmNiXxjIOe907eLtHeEyXNBAwgvXF/DTArcCKwu6QTIqJdCw03aBdScuJvEfF4aw0j4tOK3d8BHgaeBS4hxTyuziWuzdsBTFrmB2BUa31LWgH4JzAXcA/prfPZgKVJiY9jCs0PJpWDeYBUImYWYPXcrr+k9SPii9b66wKfF3+R1Bu4E1geGA6cT0rsbQRcKmmZiDi8cMpcwF/yPdwGvAXMTypxc5OkPSLi3FIf25EG2T/L29eANUilp/7dgXs4Icd3A6lc1jqkgfvFSGWZin3/BLgU+AS4Ive9Wu77sQ70DalMF6Qk3OOShgEbSlokIl7Kx64l/b3sKOk3FWWMtgJ6AyfWjuXk0Z1AX2AE6bntBfwOWLODsZbV/juweHtOknQ0cCSpTNi1pFlAC5A+y5+SZiLVXEQqfTaaVEosgG2A00nf+04VXcxFKgX2Aelv6Evgjdz3rsDZwKekUmqjc/y7A1tIWqUjs4jMzMzMzMzMzGzK48RBz7uaNHD9c0lfJyUAhhUGOlvzQ+AbwNkR8THwsaQbgG1JA7V3dEO8a+RtR6+9BnB8RBzWVsOIuFbSWFLiYJIyP63JCZW/kwY9d4qIS0vHFyqdsg/wYjnRIukY4HCgNsDepZRK6+yWf72vdPhkUtLg4Ig4oXDOLKQB4sMkXRkRI/Ohd4FFKkrc9ALuB06QdEl+TpA0O3AWaSB4zYh4tHDOScABHbilVYDv1waL8xv7dwLrSFopIh7J+79OmhHwOaksz4REgaTBpL+HdpG0IKnk07MR8UDe3QL0Iw1kHwEQEZ9IupyUZNiYtL5IUW0B4uJaAr8hJQ3+BuxYe04k/R8pqdMVbiElNDaVdH3u61/A8/USgEoLoR9JWgthzYh4tXR8ocK/dyAlDUYAa0XEB3n/4aSk3I6Sbiz/rQDfJyUcdi0mWSQtAZxJSuCtXexb0nqkxNFfSIkJMzMzMzMzMzObyrlUUQ+LiBGkN4PfyNurgFGS3pF0jaQtWjm9VoalpbCv9u896R7z5+1k5VQa9AZpfYTutAXQB7i+YiCU8uB6RLxQZ3C2Vs5moy6Kq7+kQfnnFODxfO0nKcyAkDQ36Vl4tJg0yLF+QhpYF2kguLb/0zolbt4jzVaYk0nLIW1FSqxcWkwaZIPo2LoRvy++YZ4Hmi/Iv65U6rs3cEkxaZAdS1okvL12BaZn0r+FS0mzKXbNSZqaWlJgQGEfkuYjfR8jIuI/hUMDSAmWQ4vPSUSMJiV4Oi0PvG8D/Jf0/F5CmpXznqRbJP20dA8A++XtQeWkQb5m8XnYNW8PqSUNcpsPmZio2b0itM+AX1fMzNibNPNo/3LfEXEHaQbCFjlJ1CpJw6p+SLOAzMzMzMzMzMxsCuAZB00QEVdIuoZU2mUN0pvmawBbA1tLuhAYWBy0lLRYbv9MRDxYuNwtwOv5vG9ExNs9dBuNeqxOCaOutEre3txIY0lfA/YnDdwuAXydNDBfs2AXxbV2/ikaCfQvrW+xImkQPCQNqrjOjHm7VHGnpGVIb8evRUrwlNdnKN5H37y9u3zxiHhP0siKWNtSTkBAKl8DKXFRs3zelmdZEBEf5L77N9pprs+/G2lw/8LCtcYUZuBsRhrMJiIekPQsaWB7zoh4N5+yE6Xkg6Q5SOW1RkfEqIruJ7uHjoqIu/Kb/KuTPvvl8783yj8DJG1e+PtZhVRu6JYGLt+X9PkMrTh2N/AFE7+XolER8WbF/lXzdm1Jk63PAcxD+iyXAIY1EJ+ZmZmZmZmZmU3BnDhokoj4nFTe41aYUMZmW9Lb4j8jlTC6tnDKHqTB7ZbSdcZLugQ4iLRI8p+6ONTXSAPWHR1Mf70LY6mnd95O9hZ2maQZSeV0ViLNALictD5Abc2Bo4CZuyiuoyNiUB7oXhD4NfBL4ApJm+TFkgHmztsVqVg0uWD2wn2sku9jBlIZqetJa0d8CSxHesu/eB+1BYvfqHPtjnxPYyv21d5UL74t31bf9fbXsxGwCPDPijfvW0h/R3uSEwfZEOD/gJ8wcSHlAaTvvThLZY4ujrVV+Rm4N/8gScAGOd71SW/6n5yb9wberZWfakMvYExEfFbR53hJb5MG+8vqPQe1Z/Q3bfQ7exvHiYh+VfvzrIO+VcfMzMzMzMzMzKxnuVTRFCIivoiIK5hYLmfC4rJ5sHtg/vV4SVH8ISUNYGIpo65Ue8N6vQ6e3x0LNpeNzdtGkhtbkZIGLRHx/YjYMyJ+l9dTOKs7gouILyNidETsD1wJbAjsW2hSm31wUkSolZ91CuccTlpoesOI2CQiDoiII/N9PFwRRq2PeeuEOV+Hb7BttcWw6/Vdb389tbJcG1X8LdyQj20s6VuFcy4iJVUGAEhanlTP/6bSLJ2ujrVdIrmV9P3CpItMjwXmlDRrA5d6D5gr/7djEnktim9QvUh5vb/X2vPTq41ndLIZLWZmZmZmZmZmNvVx4mDK837eFkvnbEV6O/gZ4Lw6Py8AS0hqb7mZtlxAeit7W0lLt9ZQUle8qf9F3pbru7fmobzdpIG2i+Xt1RXHuvqzq3IQ8ClwZC6LA/AIedHidlxnMdIb5UMrjlXdx/B6x/KCysu1o+/2GpG3a5QP5EWbG+47r0uwOWnQu97fwv2k56dW57+2PsGdwMqSvkv1oshExDjS39KCkvpUhDDZPXSTqv8OPJR/37iB80eQ/vu+VsWxtUifT3sWeq79jbXnGTUzMzMzMzMzs6mUEwc9TNIOkjbI5WvKx+Zj4qyBewqHam9YHxkRu1f9AMeV2naJXOd9EDATcKOkFaraSdqYBtcYaMM7ebtwO865ARgFbClph/JBSQsVfh2Vt/1Lbb4N/KEdfXZIXkz4HFLpl4PyvjdJi+OuIOmIikVxkfQdSYsWdo0ivVH+g1K73ahe3Pk64F1gx4rvcBATywl1h+tIb6zvJGnZ0rHDmVhqqhG7ksozXdLK38JA0pvzu5X+zlrydjdgB+Bt4B8VfVxI+m/j8bl0EAB5BsMBVUFJ6iVpSUnzVx2vaL+xpB/WmREwe6Gf4n8HTs3bEyVNNrumtO/8vD1e0myFNrMBg/Ov5zUSa3YaKYF4Ul6Xodz3TJKcVDAzMzMzMzMzm0Z4jYOetzJpYd7XJd0HvJj3L0pa0HVW0kDrlQB5sHh90iDnta1c93JSLfRtJe0XEWO6KuCIOC6XNzkK+JekB0gL435AKt2yFrA41YvlttczpLUKfiLpc+Al0iDwRRHxUp34PpP0I9J6EZdK2ov0hvQspPUZ1mPis34D8DzwK0nfJ72ZvTDpLfYbaV/CoqOOIw1eHyjp1FwqZ1/SZ/h7YOf8bLwBLJDvYUXSYHfteTmZlCC4T9IVpIH5FUhvxF8JbFfsMC9CvCfpOblX0uWk9SvWAL5HGqCueju90yJinKRfkMoFPZDjfQ1YDViWtFjv2qRZF3XlQfzd86/nttLf85LuJiWHNiF9r5DWDRlHGpSfETg1rzVSdgJpofKfAN+VdCspsfJj0ue0dUWs25Bm5wxhYlmx1ixJKkv2rqR7gedI60MsRPrvQG9SyanTCvd1q6RjScmWpyRdS1qMel7S9/hQre+IuFTSVjnmJ3LbyLEvClweEZc0EGet76cl7UpKSDwh6RbgWdLnuDBpJsJb+b7MzMzMzMzMzGwq58RBzzuRNEi4PvAD0uDvLKQ37YeSFmq9NCJqtcZ3J5UnuahqodOaPDB8GWnGwgAmrpXQJSLi95L+DuwDrAPsUoh7JOlt/Yu7oJ8vJG1Deiv6R8DXSfd/HymJUO+8RyUtBxxCGixejVTu5XngyEK7DyWtm6/fnzTg+QJwDPBnYPvO3kNbIuI1SWcAvwIOBQ7Kg+trk2aM7Eha4HcWUvLgOeBA4LbCNW6RtAVpEHl7UomnR0jfzbcpJQ7yOVfmmSFHkQaUPyUNhK9K+ty6JXGQ+75E0hjgiBxvse/agt5VNfeL1icNeo+IiLbK7JxD+n73JCcOIuKj/AzvltsMqToxIj6WtA4pibMd6bN/kZTwuZc0+N5WrG25OF9jA1LyZC3SwsJjSX9PfwfOLf/NR8QRkh4kLbK9OfA14E1S0u7CUh87kJIyuwJ75X1Pkf4bdAbtFBEXS3qMNFNmHdJaHR8C/yMlqy5v7zXNzMys540avFmzQzAzMzOzqYAmjk+bmfWsXJbpBWCmiGiozE8zSdoDOBv4eUR0y2LaX1WShvXt27fvsGHDmh2KmZmZmZmZmdk0oV+/fgwfPnx4RPRr77le48DMup2k3sVa+3mfSDMmFiaVEZpiSFqgYt/CpBkT40klr8zMzMzMzMzMzKZJLlVkZj1hFeDyvF7AKFJZnlWA5Uh1+gc1K7A6rsoLFw8jlQ/qQyoNNBtwaET8r3mhmZmZmZmZmZmZdS8nDsysJzwD/ANYHdiU9N+eV4BTgOMi4s0mxlblImBn0loTvUgLgT8MnBYRVzczMDMzMzMzMzMzs+7mxIGZdbuIeBHYqdlxNCoiTgdOb3YcZmZmZmZmZmZmzeA1DszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDsys20kaJCkk9W92LGZmZmZmZmZmZtY6Jw7M2iBpekl7SLpb0hhJn0t6U9K/JZ0racs2zt8pD5qHpA1Lx4YWjjXy09JAvLW2X0r6Tivt7iq0Hdjo51HnWgO74jod7Pu23PdoSdP3dP+dIem7ks6R9LykTyR9KOlFSbdKOlLSvM2O0czMzMzMzMzMvnpmaHYAZlOyPBD9D2BjYCxwI/AKMBOwDLAjsCRwfSuX2RMIQPnftxaOtQBDS+23BpYFrgNGlo6Vf69nPOnvezfgsPJBSYsD/QvtpkqSvg2sR/p8FwI2IX1fUzxJ65Kep1mAB4FbgHHAAsBqwAbAA8AbzYrRzMzMpj19Drmx2SGYmZmZdbtRgzdrdghTval2wNCsh+xASho8BqwdEe8VD0qaDVi53smSvgusBdwOzAlsKWneiHgDICJaKs7pQ0ocXFt1vEFvAK8Bu0g6MiLGl47vnrc3ANt0sI8pwR6khMxg4BBSYmaqSBwAZ5GSBgMjYkj5oKQfAO/2eFRmZmZmZmZmZvaV51JFZq1bLW9bykkDgIj4KCLuauX8PfL2AtLsghmBgV0ZYCvOAeYDNi/ulFSL4QHgyaoTJfWT9BdJj+XyTJ9Iek7SiZLmLLUdSro/gAtKpZX6VFx7O0mPSPooX/tvkhZs781JmiHfxzjg98AwYNPitSTNImlsLi1VmSiVdEaOtfw57SRpuKSP8/kXSVqgVl6qvfGWrj0PsBjwXlXSACAi/h0RoyvOXUjSKfn7+Dh/ho9IOqKibT9JV+X4P5X0kqTTJc1f0bYlfw7flrRfLsX1cf5+a23mknS8pKfysfck3VEuwWVmZmZmZmZmZlM3Jw7MWvdO3i7R3hMlzQQMAN4DrgEuBT4DdpekLouwvsuAD5k4u6BmS2AeUmKhnj2AnwDPkJICZ5BmMPwKuF/S1wttW0hllcjbows/Y0vX3Qe4GBgF/BV4HNgeuF3SzI3eWOE+5gMuj4iPcxzTA7vWGkTEJ8DlwDdJZYwmkfvcnjRD45bC/t/mOPsAQ0ifwTLA/UDvdsZZ5T1SmajZqwbx65G0Amn2y37A/4BTgEuA94FBpbabk5JDW5BmvPyZ9H3uDTwqadE63fwFOAb4T/73/fl6i5CSM4cAbwFnkj7bpYBbJO1ReTUzMzMzMzMzM5vquFSRWeuuBg4Gfp4Hy68BhkXESw2c+0PgG8DZeWD7Y0k3ANsC6wJ3dFPMAETE+5L+BgyUtFBEvJIP7UF6S/8KKtY/yI4HfhERXxR3StoNOJeUAPhD7qcl50G2ou3yShsDK0bEfwrXvJRUEmqrHFOj9szb2myHS4ETgd0k/V9EfJn3t+S2A0ilmYq2JJWQ+nOtnFNeN+H/gLeBvrW3/iUdkvv4STtirBQRn0q6jvQs3CfpDOBe4D8R8VHVOTkR9XdgLmCniLi0dHyhwr9nJyU8ZgD6R8S9hWMHk0o7nQVUzRToCywfES+W9g8BFgF2iIi/Fa7Xm7ROxymSrq+V4TIzMzMzMzMzs6mXZxyYtSIiRgA/Jb2R/lPgKmCUpHckXSNpi1ZOr72B3VLYV/v3nvSMcyi8hZ/fGt8AuKTeADVARLxUThpk55OSDht1MJ5TikmDQowAKzV6kcJ9PBMRDwJExBhSYmCRYnz5+LPAFpLmKl1qQN4WywXtSBpwP7VYKigigvS2fdXn0hF7kBJTiwJ/BB4C3s/loY6VNG+p/RakGRDXl5MGOb5XCr9uRUowXF5MGmQnkmZ8bCBp4Yq4TignDSQtC6wNXFVMGuR+xwJHkdZr2Lbu3U681rCqH9Ii42ZmZmZmZmZmNgVw4sCsDRFxBbAwaTD6GNLiu9MBWwPXSxpSLj0kaTFgHQoD29ktwOvA1pK+0QOxP0wqObOrpOlIZYumo/UyRUiaUdK+ku7LNfS/yHX9vwTmANq9JkH2aMW+2uD8nBXH6qndR0tpf+33ctmcIcBMFGYL5IH5jYAREfHvQtvl8/a+cqd5pslk6w50RES8GxHbAt8Gfk6ayfEf4PvA74AnJa1YOGWVvL25gcv3zds7K/odD9yTf12+fBx4pGLfqnnbS9Kg8g8TZy4s1UBsZmZmZmZmZmY2hXOpIrMGRMTnwK35B0nTk96uPh/4GamE0bWFU/YARGlgOyLGS7oEOIi0sO+fujdyICUJTiHV+N+FVGppRBvnXA5sA7xAWrfgdeDTfOwAoL3rEdSMrdg3Pm+nb+QC+bPflZTEuKh0uJaY2ULSfBHxet5/ISnpMwA4Pe/bifTfwPLixL3ytl7JnTdIb/53iYgYRSobdBZMKDl0OmmGwTnAcrlp77x9tYHL1u7htTrHa/t7Vxx7vWLf3Hm7Qf6pZ/a2AouIflX786yDvlXHzMzMzMzMzMysZ3nGgVkHRMQXeSbCSXnXurVjkmYkJQUAjpcUxR9S0gAmfyu+u1wEfExazHZB4OzWGucFeLchLaj73YjYJSIOjYhBwO9Jb+430+bAAqT/fr1S+mw/Jy2YPAOTLpL8Cunt+5Uk1UriDMjty2V/xuVtuVQQbezvEjnWn5AW0l62UF5pbN42Mtvjvbydr87x+UvtJgmhlevtHxFq5WeXBmIzMzMzMzMzM7MpnGccmHXO+3lbLFW0FTAP8AwV5W6ydYAlJK0dEXd3Y3xExFhJVwI7Ax8Cl7VxymJ5e31tweCClYBZK86p1f1vaNZAJ9USLv+gelbA9KTEzW6Sjs9rE0Ca/bE+MEDS5cAPSPf4Vun8EaTEyRqUSv3ktRW+1QX30JZPSYmDmZj4bD2Ut5uQkkCtqc0o6Q+cVzwgaQZgzfzr8AbjqfW9Jmn2ipmZmZmZmZmZTcOcODBrhaQdgLeBOyLiy9Kx+Zg4iH1P4VBt4eMj86yEquvuRqppvyfQrYmD7HDSQrxvRcT7bbQdlbf9gVNrOyXNA/y1zjnv5G3VYrtdRtK3gI2Bd4EfRcQnddotRhr4Xx+4Le++mjSb4KdMTH60VJx+KXAksJ+kC2oLJOd1LI6nTnKkNpMhIp5u4D6+BvwKODsiqpIfB5DK/jwZEbXP9gbSd7OlpB0iYpIEkKSFCgskXwuMAXaQ9NeIeKjQ9ADSgsy3R8TLbcWa7+lRSfcCP5S0a0ScX3FP3wfeiIg3G7mmmZmZmZmZmZlNuZw4MGvdysD+wOuS7gNezPsXBTYjDUBfB1wJIGlR0mD120y65kHZ5cDJwLaS9ouIMd0RfE0eIG5okBj4F3A/aZD4AdKsiXlJb7o/A/yv4pwHgY+AAyTNzcQ6+adGRFU5nI7ajTRwf3G9pEF2LilxsCc5cRARH0v6e77GPqRkx43lEyPiv5KOBI4DHsuzE94j1fafC3iMNFuh7Km8VcWxshlJZZ+OkvQIMJKUDJkLWJ20QPKHpEWTa3F9JulHpHU2LpW0F2kmwCykRYnXI/83PSI+kLQr8Hfg7nzfLwP9SAsZvw7s1UCcRTuSZmCcJ+mXwMOk8kkLkT6P75EWUXbiwMzMzMzMzMxsKufEgVnrTgSeIyUDfgBsRBqofQcYSno7/dJCOZzdSQPHF0XEZ/Uumgd2LyPNWBjAxLUSmi4ivpC0JXAssCnwS9KCvOfmfU9WnPOupG2Bo0hlgr6WD11MdR39dpM0HRPXLTi3jeZ/B/4CbCVpnsJb8C2kxMGMwGX1vqOIOF7SK6RZAbuQSlL9E/gtaeB+XNV57TCOlIjZgJTg2Br4JvAJKTn1F+DkvHByMa5HJS0HHJLPXy3H9jxplkSx7XWSVgcOIz23vUgJgzOBYyKiKgFUV0S8IqkfsB9pYfCdSEmc10nPxKnAf9pzTTMzM+t5owZv1uwQzMzMzGwqoInjnWZm1hpJc5DWVRgZEas2O55piaRhffv27Tts2LBmh2JmZmZmZmZmNk3o168fw4cPHx4R/dp77nTdEZCZ2dRM0jclzVjaNwNpBsoswDVNCczMzMzMzMzMzKwHuFSRmdnktgV+L+l2YDRp7YG1gCVI6xGcWv9UMzMzMzMzMzOzqZsTB2Zmk3uYtCj0WsDced+LwP8Bf4iIj5sVmJmZmZmZmZmZWXdz4sDMrCQiRgA/bHYcZmZmZmZmZmZmzeA1DszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDqYCklokhaQ+zY5lSiVpUP6M+jc7Fpv2SJpD0imSRkkan5+15ZoYj/+bYGZmZmZmZmZm3WaGZgcwrZP0O+DY/OuSEfFMM+OxRNIg4KjS7k+BV4A7geMiYlQPh9UjJA0ELgB2iYiW5kYzKUk7AYcAiwIvkL6Hv1W0mxd4AmiJiF/3QGgnAHsB/wAuAr4AXu+BfqdYOUl3F3B0RAxqajBmZmbWsD6H3NjsEMzMzKYYowZv1uwQzKZYThx0I0kCdgcCELAH0BODnNa4u4Gh+d9zA+uSvqftJK0cEc81K7CvGklbAhcDDwNnApsAl0l6PyLK/w/3r8AY4IgeCm9z4NmI2KKH+jMzMzMzMzMzM2salyrqXhsCfYAhpLeTB0iaqakRWdnQiBiUf/YDvg/cBMwJHNbc0L5y9gaeA9bIswhWA8YCvyg2krQd8ENgt4j4uIdiWwB4rYf6MjMzMzMzMzMzayonDrrXHnl7DnAJ8A1gm3qNJa0v6V5JH0oaI+laSUtWtFsl1ze/ppVrPSXpU0lz5d9nkrSvpJskvZSPjZF0u6RN6lxjVP75mqQ/Sno5n/e8pIPzjIqq81aSdLmkV3P71yTdKunHFW1XlnSlpNclfSZptKSzJC1Q59r9JN0i6X1J43L8q9b7HNorIr4EWvKvK1b0P5ukQyWNzN/TB5IelLRDnXhnzusvvJA/ixclHZv3h6ShFefMIGkfSQ/le/xI0oj8/U1XatsnX6cl//tvkt6W9ImkRyVtXmo/lFSmCOCCfG7tp09u83VJR0h6PPf/vqT/5u+0X/s+0XZZBBgeEeMBIuI94Nm8vxb/XMBpwOkRcW9HO5I0v6S/5uf7M0lvSbq6fH+ShkqqzRhau/BZDW2wn4WU1kZ4TtLH+W/uEUmTzZTIz/ZVkt7Mz8pLkk6XNH8bfewl6T/5O39D0tmSetVp23AfmriOwrcl7Sfp3/kehkpqIZUpAjiq9Bz1b+SzMTMzMzMzMzOzKZdLFXUTpRrsW5LKmzwgaRxwELAncHlF++3y/s/y9jVgDeBB4N/FthHxkKRngE0lzR0R75SutRKwJHBVRIzJu+cC/gI8ANwGvAXMD2wB3CRpj4g4t+JWZgT+SXrj+mZgPLA1MBiYBTi61PcewBmkGvDXk94gnwdYAdgHuKLQdlfgbNLaAtcDo4HFSeWdtpC0SkS8XGi/GnA7MBNwNfA8sByp1NCdFbF31uele+ud+1keGA6cT0q+bQRcKmmZiDi80F7AVcBmpM/hNNLnORBYpqpDSTMCN+RrPgNcCnwCrAOcCqwM7Fxx6iLAI6R1AS4ifd/bA9dJWj8iaoO8LaS3+LcCrgNGFq4xNsd8C+lt/weBc0nf+UI5hnuBYVWxd4GXgeUkTRcRX0qaA1gix1FzCvAxaR2EDpG0KHAf6Zm+E7gM+BbwI2AzSdtGxD9y8xbS83UU8BITk0qjGuhnBdLfzlzAPaRndjZgaWAQcEyh7eakZ0XAlbmvfqRZGFtJWiMiXqzo5gTSs3IDcCvpO9oDWIxUdqsYT0f7+AuwJnAjaTbOF8C/8rEBTFruCxr4bMzMzMzMzMzMbMrmxEH32YU0SNwCEBGPSxoGrCNpsYh4vtZQ0uzAWcCXwJoR8Wjh2EnAARXXHwIcB+xAGpAuGlBoU/MusEhEvFJsmN9Mvh84QdIlFaVfFgAeAzaoHZN0NOlN8AMlHRcRn+f9SwOnA+PyfTxR6muhwr+XINWxHwWsHRGvFo6tRxoE/Qt5hkYe0D4fmBXYOiKuK7TfHzi54jNqN0nTA7vlX+8rHT6ZlDQ4OCJOKJwzC3AtcJikKyNiZD70U1LS4F5g/Yj4LLc/EnioTgi/Iw0EnwYcEBFfFOI6G9g193Fd6bz+wKCImJDIkXQpKQnwG/Lb4RHRkj5KtgKuLS+OLOn7pKTBtRGxTenYdEDlm+xd5EzgGuBeSQ+Q1jjoTUpEIWkzYCfSs/hBJ/tZADg8Iv6vtlPS6aQB/iGSFomID2qfj6SjgFGNLgKsVJLs76SkwU4RcWnpePFvYXbS3+oMQP/iTApJB5OSdGeRSp+VrQJ8v5ZgkzQDKRmyjqSVIuKRLuijL7B8OakgaSzpvzVD27M4cv7vYJXJZleZmZmZmZmZmVlzuFRRN8iD3LuTEgEXFg61MHGR5KKtSAOMlxaTBtkg4L2Kbi7K1x9Q3JkHLH8CvEmaIQBARHxaThrk/e+RBuTnpKI0T/bLYkIhIt4kva3eC/huod3epIHJY8pJg3zeK6W2MwL7F5MGud0dpBkIW0j6et69Wu7rnopB89OA/9aJvS39lUoJDZJ0CvA4aeD+SSZ9I3xuUiLg0WLSIMf7CXAw6bvdsXCo9t0cXksa5PZji9cu9DEdsB9pPYwDa0mDfM4XpBkrQRo8L3sJOLYU1z9Jb/Gv1Mr91zPZ2gER8WVEvNuBazUkIq4lzcboTZqdEsDOEXFDTnCdBZwXEbdL2lbS05K+UCo3tGcjfeQB+w1Jn0v5e3yANPtgLtIaCp2xBWl9k+vLSYPcV/Fvofb3f3lF+aUTScm1DSQtXNHP74uzcnKZp1opquL33pk+TqgzE8HMzMzMzMzMzKZRnnHQPdYFvgP8szQofilpkG6gpMNrb+qT3uiFVPJjEhHxnqSRwNql/a9IuoM02Ld0RDyZD21BGiA8qVYrvkbSMqS3z9cilSmapdTdghX38l5xdkTB6Lyds7Bvlby9mbbV1iVYW1JVwmIeYHpSqZphtP4ZfSHpPtJn3l5rU/psSeV7+uekSs2KOZ6QNKjiOjPm7VKFfcuTkjsPVLQvz2aAdK9zkcoaHa7qJSQ+LvUxIeZioqFgNBM/60Y8Sbr/HSQtQkoQ3UdKmHzW2ok1krYmlZAqx3dtW+dGxBAmnSlTc2LeHiSpL+lt/qtICyf/EDhL0qsRcWMbXSyft/cW/v6K7iQliJZn0qRfe7Xnb6H2bE9Wbisixku6h5SEWJ6U8CgqJxqh+m+zM3080krs7RYRletk5JkIfauOmZmZmZmZmZlZz3LioHvU3n5uKe6MiDGSbgC2Jb0BfGU+VCv/8kad671eZ38LsAHpzfaD876qMkVIWoU0aDgDUHujfxxpYHu5HM/MFX2MrdN3LSkxfWFf77x9lbbNnbe/aaPd7Hnb0c+oLUdHxKD8tv+CwK+BXwJXSNokL5ZcjHdF6s/MKMZbi3lMOYGTVd1HrY/FSTX1G+mjZmydtuNpx8yinIRZFzgS2A74Qz70vqQhwKENlAnamtJMGNLzeG2jcRRJWp9UPmqLnEg7CHgfGBgRH0q6kzSL4GBSHf7W1J6j1+ocr+3v3ZFYC2rnN/K30JmYxlbsq/rb7EwfHf3bMjMzMzMzMzOzqZRLFXUxSd8kDZwCXCYpij+kpAFMTC7AxFJE89a57Hx19l9DGvz/qaTpJc1Dqgv/WEQ8Vmp7OGl9gA0jYpOIOCAijsy1yR9u9P7aMDZvq2YulNXuuVdEqJWfu0vt2/sZNSSX4RkdEfuTEjobAvtWxHtSG/GuUzhnHDBXrjtfVnUftT6uaaOPRTtzr22JiHcj4sCI+BYTF6t+mvR5nNHA+QMrYh7YkVhybf5zgEti4oLFSwHPRMSHub8ARlBnwemS2mdc73mZv9Suo8bmbXv+Frozps70EZ3o18zMzMzMzMzMpkJOHHS9AcBMpPI659X5eQtYX1JtAHh43pZL5tQWL16uqqO87sAVpIVe1yfV15+B6lIvi5Hefh9acWyyfjuotuDvJu1ou2aD127tM5oeWKPB6zTiIOBT4EhJc+R9j5AXr27HdUaQ/sZWqzhWFe/TpAHnVSTNWHG8q9RKGk3faisgIp6PiPNIn/sHpJkpPWkwKeG1f2l/eXZMuexWPSPydo06CZ1a4md4xbH2aM/fQi2m/uUDOcbaM9eZmLqjj4afIzMzMzMzMzMzm7o4cdD1agsf7xMRu1f9kBZ5rS2gDKmO/LvAjpJWKF1vEBPLjFRpyduf5Z/xwCUV7UaR3n7/QXGnpN1IiwF3hTNy/0dIWrp8MC9MW3Ma8DlwkqQlKtrOJKk4SP8A8AywlqTy4PW+dGx9g0p5sdlzSKWDDsr73iR9ritIOiInK8oxf6eQDIKJNfKPzYtW19r1Ao6o6Hc8cCrp7e9TJM1a0cf8VZ9tO72Tt5MthCtpUUnfrjhnTtJg/WSLJneX/P3vA+wbEe8UDj0JLFOLM3+eawKTLchdlhclvo1Uz/+AUn8rk5Jv75Jm83TGDaS/uS0l7VA+WPpbuBYYQ1pXYpVS0wOARYHbi4sgd0B39FH3OTIzMzMzMzMzs6mb1zjoQpL6kxa4/U9EtLag6HnA74BdJB0VER9I2hO4HLhX0uWkmuNrAN8D7iEtaDyZiLhf0vPAj0gL9N6QB7nLTiYlCO6TdAWpJMkKuY8rSfXsOyUinpS0D3AmMELSdaSFfucmrQswjvxGd0Q8LWlX4HzgCUm3AM/me1iYNBD8FrBkbh85yXEbcJWkq4HnSbMx1gNuATbu7D0UHEeqq3+gpFMj4m1SgmJx4PfAznlB5jdIMz6Wyve4A/BivsaFwE9yXI9Luj7f37bAv4DvkmYxFB0DLAv8HNgi1+9/lbRY9OLA6qRn50k67kHgI+AASXMzsYb9qbnvqyX9C3gK+B/wTdJMgxmZuOZBt8pJk/OAqyPiytLhP5E+5zvzc7ABqTb/4AYv/3PgfuCPkjYkLTD8LdLf0JfALhHxfmfij4jPJP0IuBW4VNJepFkIs5CelfXI//3Nf/+7khZ8vlvS30kLFPcjlcx6Hdirk/F0Rx/PkJ7Nn0j6HHiJVNboooh4qTPxmpmZWfcZNXizZodgZmZmZlMBzzjoWrXZBue21igiRgG3k94s3yLvu5I0wDwM+DFpcHMMsCoTB6LrGUIa1K39u6rPW3JfTwLbkwbFPyUN5Le1oGzDIuIcUjLiH6SyKL8BtiQlAf5aansxaeDyEuAHpIH5n5LKKl1Jetu82P5+UkLhdlIJmP1IZaH603XrNNT6eo00g+LrwKF53zhSyZ79gLdJCYBfkT7D94EDSYmN2jUC2IaUDJgxn7cV6TuqrZ8wrtTv56Q1Mn5GGpjdnDTrYWPS3+sRVM8oac+9vZtjfxIYmOM7hjSr4FHSAPz43OdBpM96GLBpRPy5M323wzGkhNMvygciYiQp/g9In+NswB4RcVMjF46IF0hJszNJyZtfk+7xFmD1iLiuC+InIh4lJbbOABYhPSs7k5IcR5baXkdKCt1ESvD9mpRgOBPol2PubDxd2kdEfEF6vu8jJV2OJn1v3boGh5mZmZmZmZmZdT+lsU0z60mSNiC9jT44Ig5tdjxmzSZpWN++ffsOGzas2aGYmZmZmZmZmU0T+vXrx/Dhw4dHRL/2nusZB2bdSNICFfvmZmJZnc7W0jczMzMzMzMzMzPrUl7jwKx7/VnSsqTFnd8CFiKVxZkLOKuNtTDMzMzMzMzMzMzMepwTB2bd62pgXtL6Er2BT4AnSAv/nte8sMzMzMzMzMzMzMyqOXFg1o0i4grgimbHYWZmZmZmZmZmZtYor3FgZmZmZmZmZmZmZmYTOHFgZmZmZmZmZmZmZmYTOHFgZmZmZmZmZmZmZmYTOHFgZmZmZmZmZmZmZmYTOHEwDZDUIikk9Wl2LFMqSYPyZ9S/2bHYtEfSHJJOkTRK0vj8rC3X7Lg6Q1KffB8tzY7FzMzMzMzMzMx61gzNDuCrTtLvgGPzr0tGxDPNjMcSSYOAo0q7PwVeAe4EjouIUT0cVo+QNBC4ANglIlqaG82kJO0EHAIsCrxA+h7+VtFuXuAJoCUift0DoZ0A7AX8A7gI+AJ4vQf6NTMzM2uXPofc2OwQzMzMOm3U4M2aHYLZNM+JgyaSJGB3IAABewA9MchpjbsbGJr/PTewLul72k7SyhHxXLMC+6qRtCVwMfAwcCawCXCZpPcjovz/gP8KjAGO6KHwNgeejYgteqg/MzMzMzMzMzOzbuNSRc21IdAHGEJ6O3mApJmaGpGVDY2IQflnP+D7wE3AnMBhzQ3tK2dv4DlgjTyLYDVgLPCLYiNJ2wE/BHaLiI97KLYFgNd6qC8zMzMzMzMzM7Nu5cRBc+2Rt+cAlwDfALap11jS+pLulfShpDGSrpW0ZEW7VXJt8mtaudZTkj6VNFf+fSZJ+0q6SdJL+dgYSbdL2qTONUbln69J+qOkl/N5z0s6OM+oqDpvJUmXS3o1t39N0q2SflzRdmVJV0p6XdJnkkZLOkvSAnWu3U/SLZLelzQux79qvc+hvSLiS6Al/7piRf+zSTpU0sj8PX0g6UFJO9SJd+a8/sIL+bN4UdKxeX9IGlpxzgyS9pH0UL7HjySNyN/fdKW2E+rU53//TdLbkj6R9KikzUvth5LKFAFckM+t/fTJbb4u6QhJj+f+35f03/yd9mvfJ9ouiwDDI2I8QES8Bzyb99finws4DTg9Iu7taEeS5pf01/x8fybpLUlXl+9P0lBJtRlDaxc+q6EN9rORpPvLf9OqWLek9F0ukT/vNyV9qbx2R37+/yLpsXy9TyQ9J+lESXPWieHrkv4s6ZXc/mlJv6LO/z5ImlfSnyQ9k+Mem//dIunbjdy3mZmZmZmZmZlN2VyqqEmUarBvSSpv8oCkccBBwJ7A5RXtt8v7P8vb14A1gAeBfxfbRsRDkp4BNpU0d0S8U7rWSsCSwFURMSbvngv4C/AAcBvwFjA/sAVwk6Q9IuLciluZEfgn6Y3rm4HxwNbAYGAW4OhS33sAZ5BqwF9PeoN8HmAFYB/gikLbXYGzSWsLXA+MBhYnlXfaQtIqEfFyof1qwO3ATMDVwPPAcqRSQ3dWxN5Zn5furXfuZ3lgOHA+afB1I+BSSctExOGF9gKuAjYjfQ6nkT7PgcAyVR1KmhG4IV/zGeBS4BNgHeBUYGVg54pTFwEeIa0LcBHp+94euE7S+hFxV27XQnqLfyvgOmBk4Rpjc8y3kN72fxA4l/SdL5RjuBcYVhV7F3gZWE7SdBHxpaQ5gCVyHDWnAB+T1kHoEEmLAveRnuk7gcuAbwE/AjaTtG1E/CM3byE9X0cBLzExqTSqgX5+wsTv7wrS33Ttc32slVO/QyrX9Cwp4TgrMC4f24OUfLyb9LcwHdAP+BWwiVJ5rfcLMcwM3EFKgj2Wr9ebVOJp7YqYZwPuzzHcRnoWRXq+tgKuJD1jZmZmZmZmZmY2FXPioHl2IQ0StwBExOOShgHrSFosIp6vNZQ0O3AW8CWwZkQ8Wjh2EnBAxfWHAMcBO5AGpIsGFNrUvAssEhGvFBtK6kUaKDxB0iUVpV8WIA04blA7Julo0qDmgZKOi4jP8/6lgdNJg5xrRsQTpb4WKvx7CVId+1HA2hHxauHYesCtpETHNnmfSAP1swJbR8R1hfb7AydXfEbtJml6YLf8632lwyeTkgYHR8QJhXNmAa4FDpN0ZUSMzId+Skoa3AusHxGf5fZHAg/VCeF3pKTBacABEfFFIa6zgV1zH9eVzusPDIqICYkcSZeSkgC/Ae4CiIiW9FGyFXBteXFkSd8nDW5fGxHblI5NB/SqE3dXOBO4BrhX0gOkNQ56kxJRSNoM2In0LH7QyX4WAA6PiP+r7ZR0OnAPMETSIhHxQe3zkXQUMCoiBjXSgaSv57g/B1aNiMcKxwYDB7dy+hrA8RFRVSrreOAXteeicM3dSEmefYA/FA4dREoaXA38KM+oqcVQlQBaj5Q0ODkiDiz1MRMwcytx19rVSyxNNnvKzMzMzMzMzMyaw6WKmiAPcu9OSgRcWDjUwsRFkou2Ir0hfmkxaZANAt6r6OaifP0BxZ15cO8nwJukGQIARMSn5aRB3v8eaUB+TipK82S/LCYUIuJN0tvqvYDvFtrtTUpWHVNOGuTzXim1nRHYv5g0yO3uIM1A2CIPwEIazP4ucE/FoPlpwH/rxN6W/kqlhAZJOgV4nDRw/yRwTK2RpLlJiYBHi0mDHO8npIFgATsWDtW+m8NrSYPcfmzx2oU+pgP2I62HcWBxcDj/+yDSQts7VdzHS8Cxpbj+SXqLf6VW7r+eydYOiIgvI+LdDlyrIRFxLWk2Rm/SAHgAO0fEDTnBdRZwXkTcLmnbXHLnC6VyQ3s20kdOXm1I+lzK3+MDpNkHc5HWUOiMrfJ9XFJMGmTHkmZ91PMGpZk8hRhfKicNsvNJCbuNSvt3If134re1pEG+zouk2Rv1VH3/nxVnM5iZmZmZmZmZ2dTLMw6aY13SW7v/LA2KXwqcCAyUdHjtTX2gb97eXb5QRLwnaSSlsiIR8YqkO4ANJC0dEU/mQ1uQBj5PqtWKr5G0DOnt87VIZYpmKXW3YMW9vFecHVEwOm+LddVXydubaVttXYK1JVUlLOYBpieVqhlG65/RF5LuI33m7bU2k5dsGQn0z0mVmhVzPCFpUMV1ZszbpQr7licN2j5Q0b48mwHSvc5FKmt0uKqXkPi41MeEmOsMKI9m4mfdiCdJ97+DpEVICaL7SAmTz1o7sUbS1qQSUuX4rm3r3IgYwqQzZWpOzNuDJPUF/k4qA/UL0iD/WZJejYgb2+hi+by9t/D3V3QnKUG0PJMm/dqr1s9k33NEfJD/pvvXOfexiPi06kAuZbUXKTm4NCl5V0wQL1ho+3VgMWB0RFQl1oaSSjAV3Q28ChySP+ebSDOS6j1fk4mIynUw8kyEvlXHzMzMzMzMzMysZzlx0By1t59bijsjYoykG4BtmVgvHCaWf3mjzvVer7O/BdiA9GZ7rfRJVZkiJK1CGhSdgVTz/HrSG8pfkgZ5t6K6DMnYOn3XkhLTF/b1zttXadvcefubNtrNnrcd/YzacnREDMpv+y8I/Br4JXCFpE0Kb2nX4l2R+jMzivHWYh5TTuBkVfdR62NxJh/QrddHzdg6bcfTjplHOQmzLnAksB0Ty968L2kIcGgDZYK2pjQThvQ8XttoHEWS1ieVj9oiJ9IOAt4HBkbEh5LuJM0iOBhoK3FQe45eq3O8tr93R2Kt6Kfe81pvP7T+LF9OKt/1Aimp8zppjRBIJc2Kf8Pt/puJiHH5vxVHk9Zoqc1geDuXcjq2TsLFzMzMzMzMzMymIk4c9DBJ3yQNnAJcJumyOk33ZGLioPZm+7x12s5XZ/81pMH/n0o6jDTwvAnpjeVyeZTDSesDrBMRQ0sxH0pKHHTW2LxdEHi6jba1e+4VEeNabTlp+/Z+Rg3JCYLRwP6SFiANmu/LxHIutf5PiohfNXjZccBckmaoSB5U3Uetj2siorOlcjoslyM6kLSGxWKkGRl7kT6P3lQvzlw8fyCp5FCn5fU/ziGV/KktWLwU8ExEfJj7C0kjSPX521L7jOs9L/OX2nVU7Zmu97zW2w+pRNNkJK1AShrcDmxSfKZy4uu3pVM69DeTS4rtlkuuLU2aQfULUjJpOtLCymZmZmZmZmZmNhXzGgc9bwAwE6m8znl1ft4C1pe0aD5neN6WS+bUFi9erqqjvO7AFaSFXtcn1defgepSL4uR3n4fWnFssn47qLbg7ybtaLtmg9du7TOanrSgbFc5iPQW95GS5sj7HiEvXt2O64wg/Q2uVnGsKt6nScmXVXJJmu5SKzkzfautgIh4PiLOI33uH9A1Cab2GExKeO1f2l+eHVMuu1XPiLxdQ1JVYnWdvB1ecaw9JvRTPpCTIct14JqL5e31FYmolUif0wR5PYLngQUlVZXx6t9aZ5E8ERGnkmY2wcSkqJmZmZmZmZmZTcWcOOh5tYWP94mI3at+SIu81hZQhlRy5F1gx/xWcdEgJpYcqdKStz/LP+OBSyrajSK9/f6D4k5JuzH5gqoddUbu/whJS5cP5oVpa04DPgdOkrRERduZJBUH6R8AngHWklQevN6Xjq1vUCkiXia95T43KYlQWxD6EmAFSUfkZEU55u8UkkEwsUb+sXnR6lq7XlS8tZ0Hg08lvfV+iqRZy20kzV/12bbTO3m7cMX1F5X07Ypz5iQN1k+2aG53yd//PsC+EfFO4dCTwDK1OPPnuSYw2YLcZflt+tuAPqTSPsX+ViYl394lzebpjOtIb/zvJGnZ0rHD6VgppFF527+4U9I8wF/rnHMB6X8H/pBnJdTOWZRUkmsSkpaRVDVDobbvo/aFbGZmZmZmZmZmUyKXKupBkvqTFrj9T0Q80krT84DfAbtIOiovlronqX75vZIuJ9VaXwP4HnAPaUHjyUTE/ZKeB35EWqD3hjzIXXYyKUFwn6QrSIOaK+Q+riSV5umUiHhS0j7AmcAISdeRFvqdm7QuwDjyG90R8bSkXYHzgSck3QI8m+9hYdJA8FvAkrl95CTHbcBVkq4mvU29HKlEzS3Axp29h4LjSHX1D5R0akS8TUpQLA78Htg5L8j8BmnGx1L5HncAXszXuJC0iO3GwOOSrs/3ty3wL+C7pFkMRccAywI/B7bI9ftfJS0WvTiwOunZeZKOe5A0AHyApLmZWOv+1Nz31ZL+BTwF/A/4JmmmwYxMXPOgW+WkyXnA1RFxZenwn0if8535OdiANBA/uMHL/5y04O8fJW0IPAp8i/Q39CWwS35bv8PyWgG/AC4CHsh/c6+RZp8sS1qEeG0m//5b868c9w8lPUBaeHle0gyfZ0jfVdmJpFkC2wLDJf2T9Fn9mPTflS1L7TcgfS4Pkv4e3wQWIn3/XwJ/bEe8ZmZm1gSjBm/W7BDMzMzMbCrgGQc9qzbb4NzWGkXEKFKd8vmBLfK+K0kDzMNIg3o/B8YAqzJxILqeIaRB3dq/q/q8Jff1JLA9aVD8U9JAflsLyjYsIs4hJSP+QXoz+jekwcm3KL0VHREXA/1Ib/L/gDQw/1NSSZYrSW+bF9vfT0oo3E4aLN2PVBaqP/BwV91D7us10gyKrwOH5n3jSIO9+wFvkwZjf0X6DN8nrQtwW+EaQapJfwzp+9mPNAA7JN8rTKyFXzvnc9JA789Ig8Gbk2Y9bMzE+vJVM0rac2/v5tifJK1FcEz+mZM0iD6YNHNk49z3JqTnctOI+HNn+m6HY0gJp1+UD0TESFL8H5A+x9mAPSLipkYuHBEvkJJmZ5KSN78m3eMtwOoRcV0XxE9EXAJsBjxG+pvbm5SwWzXHDqXvv43rfUH6WzqDlKz6Jelv7VxSUnCyRYsj4lNSGbOTSAmg/UnP8LGk57Xsn6QE0mykZ/UgUtLyNmDNiiSOmZmZmZmZmZlNhZTGLs1sSiJpA+BWYHBEHNrseKzn5DJXLwAzRcT8bbWfVkga1rdv377Dhg1rdihmZmZmZmZmZtOEfv36MXz48OER0a+953rGgVkTSVqgYt/cTCyr09la+jaFktRb0mylfSKtcbAw/u7NzMzMzMzMzKxJvMaBWXP9OS+O+wCpXNNCpLI4cwFntbEWhk3dVgEul3QraWHj2fO+5YDRpIXPzczMzMzMzMzMepwTB2bNdTVpAdstSIvSfgI8QVr497zmhWU94BnSWh+rA5uS/nv8CnAKcFydRczNzMzMzMzMzMy6nRMHZk0UEVcAVzQ7Dut5EfEisFOz4zAzMzMzMzMzMyvzGgdmZmZmZmZmZmZmZjaBEwdmZmZmZmZmZmZmZjaBEwdmZmZmZmZmZmZmZjaBEwdmZmZmZmZmZmZmZjaBEwc2TZDUIikk9Wl2LDbtkTSfpCGSXpH0RX7WejcxnqGSoln9m5mZmZmZmZnZtG2GZgdgU64ODEzuEhEtDV57FEBE9GlnH11CUgswoLT7Y2AUcDMwOCLe6uGweoSkQcBRwDoRMbS50UwkaTrgl8DewALAk8DvIuL2irZLAyOAgyLitB4IrwXYELgMeB4I4JMe6HeKJWkgcAHt+Ls3MzOz5utzyI3NDsHMzKZQowZv1uwQzGwK4sSBteboin0HAL2AvwBjS8dGdm843eI6JsY9L7Ap8CtgW0n9IuKdZgX2FbQvcBJwG/AP4EfAzZJWiIjHao0kTQ+cDzwM/LW7g5I0E7ABcHtE7NTd/ZmZmZmZmZmZmTWbEwdWV0QMKu/Lbxn3Ak6OiFE9HFJ3uLb4trSkWYCHgGVJA9lVyRPrHnsDd0XEhgCSTiO93b8XsE+h3YHAD4BlI6InyvXMRyrr9r8e6MvMzMzMzMzMzKzpvMaBdRlJP5Z0j6T3JH0s6T+SDpU0c6FN/1wCaRFgkVwrvvbTUmi3taSLJT0r6cP8M0zSL3NJm24REZ8Al+RfV6y4x7kkHS/pqXyP70m6Q9KGVdeT1EvSybk2/ieSnpb0K0nfLt9z4ZzZ8uc2Mt/3B5IelLRDRdv++TqDJC0n6UZJYyV9JOluSauV2o8ilSkCuKv4+RfazCvpT5Keyf2Pzf9ukfTtRj/LDlgEeKT2S0S8CLyd99diWxz4PXBkRDzX0Y4kLS7pQkmvSvpM0v/y74uX2o0CXsq/Dqh6VtvoZ0lJ50saJelTSW9KulfS3hVt15N0i6Qxue2zkgZL6tXK9WeQdJik5/I5oyX9Ic+SqGrfcB+1dRQkzSTpyPwMfJqfg6GkMkUAF5T+jvs08tmYmZmZmZmZmdmUyzMOrEtIOg44lDTQeynwAbAJcBywkaQNI+Iz0hoCR5NKHgGcXLjMyMK/BwNfksrRvEqa5bAuqUTSisDO3XIjk/q8+IukRYChQB/gXuAW4GvA5sAtkvaKiHMK7WcB7gT6kurxX0K6j98Ba1Z1qLTg7p3A8sBwUkme6YCNgEslLRMRh1ecugLwW+BB4FxgYWBb4A5Jy0XEM7ndycDWwNrAENL3Uex/NuB+4DukkkE3ACIN3m8FXAm8UBV7F3gZ6FeIZRHgG+SBe0kCzgP+Qypp1CGSVgRuB74OXE9aS2FJ4KfAVpLWj4h/5eYnk77v/YHHgGvz/pEN9LMZ8HdgZtKzchnQmzSb5bfAGYW2e+XfP8znvAn0Bw4GtpC0ekSMrejmUtKzdDMwjlRq67fAPMAupXg62sdVpL+5m/P9v0n6OxhLeiaK5b5g8hJmZmZmZmZmZmY2lXHiwDpN0qqkpMFoYKWIeD3vPxS4hjSw/mvguFzeaJBSyaPKckjZZhHx31I/05Hecv6ZpNMi4uFuuJdZmZiUuK90eAhpAH2HiPhb4ZzepIHUUyRdHxFv5EO/ISUN/gbsWCurI+n/SEmBKieTkgYHR8QJhT5mIQ3aHibpyogYWTpvM0qL1OaB4jNJg977AETEyTnetYGWisWR1yMlDU6OiAOLB/Jb7DPTfc4ETpJ0M/AEsB1pEeKz8/FfACsDy0fEFx3pICcfLgTmAH4aEZcUjm1P+q4ukrR0RHyZP68+pM9wZCvPa7mfb5AG9WcA1o2Iu0vHFyr8exHgFFKybaWIeLpw7HRSCacTgD0ruvoOsExEjMntf0dKcPxM0qGFv8XO9LEI8L2IeLt0D5ASB5OU+2qLpGF1Di3Z6DXMzMzMzMzMzKx7uVSRdYVd8/bY2kAlQESMBw4izRzYvT0XLCcN8r4vSTMOIL2B3xW2zmV+BuUB1GeA7wP3MOkb4cuSBtuvKiYNclxjSeV/ZiG95V8zgHTvhxZr8UfEaCadaVHrY27SW++PFpMG+ZxPSG+GC9ix4j7urxi8PR8YD6xU595b83F5R0R8FhHvd+BajTqFlGxZDPg58BYpgTQyD94fDxwTEU9K2juX//lCqfzTVg32sRppgPrBYtIAICIuJyWLvgus0cl7GUBKTpxRThrkvl4p/PpTYCbgtOKAfvY74H1gZxVKfhUcXEsa5Ot+SJrZMh1pFkpX9HFEOWlgZmZmZmZmZmbTNs84sK7QN2/vLB+IiGclvQIsKqlXRLzXyAXzIPpvSKVXvk0qCVS0YCfiLdoq/xTdRhqwLpYqWjVve0kaVHGdb+btUgCS5iC9DT66ziLS5dkMkMrBTA9EnT5mLPZR8mh5R0R8LukNYM6K9vXcTSoNdYikvsBNpNJFIxt9yz/PJulT2j20YnZDOd4vgT/ln7JzSAslD5a0NXA6KbFzFSnJcJWk5SPiP22EV/dZLexfgzTr4542rtWaVfL25gbatvb3866kEcBapITHY6Umk33vpJk/MOn33pk+Himf0xkR0a9qf56J0LfqmJmZmZmZmZmZ9SwnDqwr1BZWfa3O8ddINfd7A20mDnIpnX8Bi5IGLS8ExpDenu9NKhvTVSVzdomIFknTkxIUxwDbkwali7Mk5s7bDfJPPbPn7Rx5+0addlX7a32sSMXCzBV9FI2t03Y8KRnRkIgYJ2kV0joUWzJxZsfbeUbGsaWESpWBpNkZZUMbjaNI0u6kWvwrRcR4Sb8hJRF+EREh6SFgQ1Ki6WdtXK6RZxXSc9YZtfNfbaBth2OqsybB+Lwtfu+due/XK/aZmZmZmZmZmdk0zIkD6wq1ZMB8wGQlhoD5S+3asjspaXB0uaZ8Xk9h/w7E2Kr8Nv1zknYkvS2/W16v4PrcpBb7/hFxSgOXHJe389Y5XrW/1sdJEfGrBvroFrmMzm55PYClSYtS/wI4klQC54g2zu/fVbFIWpA0A+EPETEi714KuL1W/ikiPpT0DLBMA5csPqtV2vus1jM2bxckLebcaExPdFNMHe6jWGbLzMzMzMzMzMy+GrzGgXWF2oBu//IBSYsBCwEvlt6O/oL6b8IvlrdXVRyrepO9y+RyObXExB/yTASAh/J2zQavMw54AVgw1+cvq6qh/whpTYSG+uiEWsmhVmciRPJERJzKxFkWW3dnYBXOJL21//vS/vKMk1kavF7dZzVbJ2/rLV7dqNrzskkDbVv7++kNLAd8AjzViXi6o4+GniMzMzMzMzMzM5v6OHFgXeH8vD1cUq3WP3nQ/U+k5+y80jnvAN+UNGvF9Ublbf/iTknLA4d2QbytioiHgX+Q6r3/LO97FLgX+KGkXavOk/R9SfMUdl1Iuvfj89v7tXbfAg6o6PdN0sK2K0g6opC0KPbxHUmLdvTesnfyduGK6y8jqWo2RG3fR53su2GSfkpa42LXiPiscOhJYK28jgSSvk2aGVH1Jn3Z/aQFsNeQtF2pv+1ISZtnqV6Doj2GkGad7C1prfJBSQsVfr0Y+BzYLyfaio4hlb26OCI+7UQ83dFH3efIzMzMzMzMzMymbi5VZJ0WEQ9IOgH4LfC4pCuBD0lvW3+PNAj7x9Jpd5Dq+N8i6R7gU+CxiLiBNOD+G+BkSesAzwGLA5sDV5PWIOhuRwKbAUdJuiQPXO9IWlz2PEm/BB4mlaRZCPgB6V5XBd7M1ziB9Ib+T4DvSrqVVGv+x6SFd7cmzTAo2pd0r78HdpZ0H2k9hAVIJXpWBHYAXuzEvd2V+z1e0veAdwEi4ljSzII/SnqQNID+Zr6/rfI55e+xW+Tkxcmksk0Plw6fAFwHPJA/0x/m/W3GltdEGEBaAPtySdcBTwPfJX0f7wM/yzNPOiwi3s5lr64E7pJ0M/Bv0gD9D4BvkcpxERGjJB0A/BUYLukK4C3S7JpVc3wHdzKe7ujjQVIi6YC8mHltLYRTG10E3czMzHreqMGbNTsEMzMzM5sKOHFgXSIiDpY0gjTw/TNgRtJ6B4cDJ5beGAc4lrQQ6xbA6qRyJ0OAGyLif5LWBAaTSvpsRBrY3Ae4nR5IHETECEnXkAal9yINhr4iqR+wH7AtsFOO+3XSW/CnUqhnHxEf58TH74HtgANJA/7HkWYvbM3EtRBq54yTtDawJylRsS2pDM8bpATKgaRB787c21N58PzXpM+0VubnWOCfpDfI1yIlC+YgLZx7G/DniHigM323w19JC2JPtp5CRFwvaS/SQPe+pM/lhxHR1loCtfMflrQi6dlcn/QMvg1cBhwTEc90xQ1ExI2SVshxrkdawPld0rN8fKnt6ZKeJ30n2wKzAaNJyZDj6iyC3N54urSPiHhX0rbAUaQFsb+WD11M59eIMDMzMzMzMzOzJpLXvTTreZL2AM4Gfh4RZzU7HrNmkzSsb9++fYcNG9bsUMzMzMzMzMzMpgn9+vVj+PDhwyOiX3vP9RoHZt1I0gIV+xYmvUk/Hrihx4MyMzMzMzMzMzMza4VLFZl1r6skzQgMI62H0Ie0VsNswKER8b/mhWZmZmZmZmZmZmY2OScOzLrXRcDOpJryvYAPSIsqnxYRVzczMDMzMzMzMzMzM7MqThyYdaOIOB04vdlxmJmZmZmZmZmZmTXKaxyYmZmZmZmZmZmZmdkEThyYmZmZmZmZmZmZmdkEThyYmZmZmZmZmZmZmdkEThyYmZmZmZmZmZmZmdkEThyYmRVIGiop2nlOSBraTSGZmZmZmZmZmZn1KCcOzMy6gaRBOaHQv9mxmJmZmZmZmZmZtccMzQ7AzGwasBTwUbODMDMzM2tLn0NubHYIZmbWDqMGb9bsEMzsK8qJAzOzToqIp5sdg5mZmZmZmZmZWVdxqSIzm2ZIml3SZ5LuL+2fVdInuXTQzqVje+f9u5b2zyDpMEnPSfpU0mhJf5A0U0W/k6xxIGkUcFT+9a58PMprJ0iaTdKhkkZK+lDSB5IelLRDJz6DPrmvFklLSrpW0ph8/fskbdjKuTtIukvS2Px5PSXpcEkz17tnSfNJOlfSq5K+kDSwo7GbmZmZmZmZmdmUwTMOzGyaEREfSHoEWFnS1yPi/XxodaA2+L0ecFHhtPXy9o7S5S4F1gRuBsYBmwK/BeYBdmkjlJOBrYG1gSHAqHIDSb2BO4HlgeHA+aRk7kbApZKWiYjD2+inNYsCDwL/Ac4C5ge2B26WtGNEXF6K53zSfb0CXAWMBVYBjgHWk7RBRIwv9TEX8BDwAXA18CXwRidiNjMzMzMzMzOzKYATB2Y2rbmTlChYC6gV8V0P+AK4m4mJAiRNB6wDvBARL5Wu8x1gmYgYk9v+DngM+JmkQyPi9XoBRMTJOTGwNtASEUMrmp1MShocHBEnFGKaBbgWOEzSlRExsqG7ntxawJ8i4jeFa59GSiacKenmiBiX9w8kJQ2uAXaKiI8L5wwizZ74BfCXUh/fJyVhdq1IKpiZmZmZmZmZ2VTKpYrMbFpTmzmwXmHfesAw0lvxC0laIu9fjvTWfHm2AaQB/TG1XyLiQ+AS0n83V+hMgJLmBn4KPFpMGuR+PgEOBgTs2Ilu3gN+X7r2o6R76A1sUzi0PzCelAD4mEkdA7wD7FTRx2fAr9uTNJA0rOoHWLLRa5iZmZmZmZmZWffyjAMzm9Y8CHxMThxI6gX0BU4gzUYgH3sWWDf/fieTe7Ri3+i8nbOTMa4ITA9EfqO/bMa8XaoTfQwvlGoqGgoMIM12GCJpNmBZ4G3gAElV1/q0TiyjIuLNTsRoZmZmZmZmZmZTICcOzGyaEhGfSboPWF/SN4HVSIP0d0TEU5JeIyUOzsjboCJxEBFjKy5fe7N++k6GOXferph/6pm9E33UW2ugVmKpV97OSZrd8E0mLujcqLrlmuqJiH5V+/Osg77tvZ6ZmZmZmZmZmXU9lyoys2nRnaTB8PXyzyfA/YVj60iambT48RNNeGv+vbw9KSLUys86nehj3jr75yvFUNuOaCOWqqkI0Yn4zMzMzMzMzMxsCuXEgZlNi4rrHKwLPJDXDqgdmwvYG/ga1esbdIUv8rZqdsIjwJekxEV36Svp6xX7++ftCICI+AB4AlhG0lzdGI+ZmZmZmZmZmU0lnDgws2nRcNKb9FsByzBpcqBWlujQ0u9d7Z28Xbh8IM9wuARYQdIRkiZLLkj6jqRFO9F/L+DI0jVXIC1y/B5wTeHQn4GZgPMl9a6IZU5JLiNkZmZmZmZmZvYV4TUOzGyaExFfSBpKShxAIXEQES9J+i/wHdKsgLu7KYy7SLMKjpf0PeDd3P+x+fi+wOLA74Gd87oMbwALkBYiXhHYAXixg/3fA+wuaWVSmab5ge1JCeO9ImJcrWFEnC+pH7AP8F9J/wReJs3MWBRYC7gA+HkHYzEzMzMzMzMzs6mIEwdmNq26g5Q4GAc8WnHsO8CwiHivfGJXyAsxDwB+TRqQnyUfOjYfHydpbWBPYEdg29zmDeA54EDgtk6E8CJpoH9w3s5Mmonx+4j4Z0W8v5B0c267PtAbGENKIPwRuLgTsZiZmdkUYtTgzZodgpmZmZlNBRThtS3NzKYVkvqQkgZDImJgc6NpnKRhffv27Tts2LBmh2JmZmZmZmZmNk3o168fw4cPHx4R/dp7rtc4MDMzMzMzMzMzMzOzCZw4MDMzMzMzMzMzMzOzCbzGgZnZFCyXHhrYYPOTuy0QMzMzMzMzMzP7ynDiwMxsytYHOKrBti0RMQpQt0VjZmZmZmZmZmbTPCcOzMymYBExFCcCzMzMzMzMzMysB3mNAzMzMzMzMzMzMzMzm8CJAzMzMzMzMzMzMzMzm8CJAzMzMzMzMzMzMzMzm8CJA7NWSGqRFJL6NDuWriapf763Qc2OZUonaXFJ10h6PX9mY5sczyhJo5oZg5mZmZmZmZmZTbucOLAelwde2/MzsB3XniIGVCV9TdK+km6R9JqkTyV9IOlZSZdJ2kHSjM2Oc0oiaSZJx0p6UdJ7ku6S1LdO2/Xzs7F5D8Q1PXAtsCnwD+BoYHB39zulkzQofwf9mx2LmZmZmZmZmZl1rRmaHYB9JR1dse8AoBfwF2Bs6djI7g2na0laDbgcWAh4A7gTGE1K1C0MrAP8BPgVsGKTwpwSDQYOBK4CXgF2Bu6StGREvFZrJGl24Bzgkoj4Rw/EtSiwNHBOROzZA/2ZmZmZdZs+h9zY7BDMzKZJowZv1uwQzMy6lBMH1uMiYlB5X55V0As4OSJG9XBIXUbSMsAtwNeA3wF/iojPSm2mB7YBftHzEU6ZJAnYC7ggInbN+64BhpISCCcUmg8GZgX276HwFsjb//VQf2ZmZmZmZmZmZk3lUkU2xZP0Y0n35PI1H0v6j6RDJc1caNNfUgCLAIuUSh21FNptLeniXDLow/wzTNIvJXXF38OpwNeBwRFxXDlpABARX0TElcAGpfucsOaApJUk3ShpTHGNBUnrSDpb0pOSxuXP43FJR0mapc7nN6+k8yS9kduPlDSg3g1I+nbu4/ncfkz+zM+UNHdnPpxWfBOYDXiksK/270UKsa0J7APsGxHvdLQzSf0kXSXpzVxG6iVJp0uav9QugLvzr0cVnqlBDfazkqTLJb2a+3lN0q2SflzRts3nvOKcr0n6o6SX8/Wfl3RwTsRUtW+4D+WyX5LmkPTn/O/P8/M5CjgqN72r+PfWyOdiZmZmZmZmZmZTNs84sCmapOOAQ4G3gUuBD4BNgOOAjSRtmAfnR5FKIB2QTz25cJmRhX8PBr4EHgZeJc1yWJdUImlF0tvtHY31O6QyRB8z6RvylSJifJ1Dq5Lu+T7gfOAbQC0BcTCwJPAAcCMwC7A6MAjoL2n9iPiiENM3cttv5+vdB8wPnAncWnEP8wP/AuYAbiKVDZqFVK5nZ+A0oMMD9q14m/S59SvsWyFvX8qxzQqcB1ydEy8dorQuwlWAgCvz9fsBewNbSVojIl7MzY8G+gADSAmEoXn/UNogaQ/gDOAL4HrgOWCefF/7AFcU2jb6nBfNCPyTNCPiZmA8sDXpGZ+FUkmwDvYxE6nU1lyk52Uc8CLp72trYG1gCOnvz8zMzMzMzMzMphFOHNgUS1JtAH00sFJEvJ73HwpcA2wO/Bo4Lpc3GqS8kHJVOaRss4j4b6mf6YALgJ9JOi0iHu5gyKvn7bCIeK+D1wDYEPh5RJxVcWwf4MWImOTNbknHAIcD25HWV6g5jpQ0ODkiDiy0Pw14sOL625EGiQ+IiL+U+vgaKenS5SLiS0lnA7+U1IuU1NmZNFB9SW52DDA3nSjxpLQ+whDSf/v6R8S9hWMHkwbdzyJ9B0TEIKXFfwcAQ1t5rsr9LA2cnuNfMyKeKB1fqPDvhp/zUjcLAI8BG0TEx/mco4FngQMlHRcRn3eyj/mBJ4G1I+LD0j30JiUOWiJiaCOfi5mZmZmZmZmZTR1cqsimZLvm7bG1gU6Y8Kb+QaRB7N3bc8Fy0iDv+5I04wBgo46FCsB8eftq1UFJB+QyL8WfPhVNR9ZJGhARL5STBtlJeTshfkkzAjsB75NmJBSv8ygTB+SrfFzR94e1AepucjDwB2AlYDfgCWD9iHhV0kqk2ST7A2/lz+41SeOVSk2tXveqk9qKlBi5vJg0yE4kvTm/gaSFO3kve5OSE8eUkwYAEfFK4dfOPOe/LH4nEfEmcB1pJs13u6iPg8pJg87I39dkP6SZNGZmZmZmZmZmNgXwjAObkvXN2zvLByLiWUmvAItK6tXoG/65Rv9vgE1Jb+J/rdRkwU7E25YDKNTrz4YyeZmXR6gjv/W/P2lx5SVI6ykU69kX41+StG7AvXU+n6GkN+mLrie9df5XSRuRSuHcDzxZJ2FRFeMBQO/S7msjYmRr50XEp6S34g8tXW8m0oyQWyLi4nz9o0ileO4nLUJ9i6TFIuKNNsJr7ZkaL+keUmmi5YGX27hWa1bJ25sbaNvR5/y9iHi+4nqj83bOLujjE+DfDdyDmZmZmZmZmZlNQ5w4sClZr7x9rc7x14CFSYPUbSYOcmmVf5Hq9T8CXAiMIdWG700akK+7EG0Dam9yL1B1MCL6FGK5mDQboLXrTCLPILiT9Eb+46SSRG8Bn+cmRzFp/LXPr95g+mT9RMRL+e3+QcDGwA/zodGS/hQRp9S5VtEBTJ4gGcWka020x5GkhMiG+fffAHfUygZJeiZf/xe5bWsaeaZg8sRHe9XOr5x9UtLR53xsnfa1tTOm74I+3mw0YdSoiOhXtT/POuhbdczMzMzMzMzMzHqWEwc2JasNYM4HTFZiiFR/vdiuLbuTkgZHl2vV5xrw+3cgxqL783YFSXNExLgOXqfeQO1WpKRBS0TsUjyQFzU+qtS+9rnMW+d681XtjIingO0lzQAsC6wP7Af8RdKHEXFeq8EXEiSdJWk5UgmjvXPJojlIiZkJZZYi4mVJbwPLNHDJ4jNVpb3PVD1j83ZB4Ol2xNQVz3lX9tGlSQMzMzMzMzMzM5s6eI0Dm5KNyNv+5QOSFgMWIi0UPLZw6AsmfdO6aLG8vari2NodC3GivH7CUGBW0lvxXa0W/9UVx6rifxr4CFguLzhc1r+1ziJifEQMi4g/ADvk3Vs3Fmrn5cTFBaRFic8tHS7PDJmlwcu29kzNAKyZfx3e4PXqeShvN+lkTPWe8/bqjj6+yNt6f29mZmZmZmZmZjaVcuLApmTn5+3hkr5Z2ylpeuBPpOe3/Pb7O8A3Jc1acb1Redu/uFPS8pTq6nfCfsAHwGGSDs7lhSYhaTpgjg5ce1Te9i9d79ukRYUnERGfk97M/zqlxZElrUBFqSRJ/eokGWqzFj5qZ8ydcQgpWbJHbUeexfEqsHEe6EfS2qR7nGwR4grXkspT7SBpldKxA0gzUm6PiM6sbwBwBqlk0BGSli4flLRQ4deOPOft1R19vJO3nV1I2szMzMzMzMzMpjAuVWRTrIh4QNIJwG+BxyVdCXxIeov7e8B9wB9Lp90BrEhaLPce4FPgsYi4gbSmwW+AkyWtAzwHLA5sTnqLf/suiPnxvKjw34HBwAGS7iIttDs9qVTMOqQSNi8ycSHbRtwAPA/8StL3SW+RL5zjv5HqAdzDgPVyHCuQPrP5Sfd6E7Blqf3OwF6S7iOVtHkX+A6wBemzPLkd8XZYHmw/AjgoIkaVDp8A/AW4V9LDpATIB8Bf27puRHwgaVfS93O3pL+Tvpt+pDUUXgf26mz8EfGkpH2AM4ERkq4jPW9zk57PcaTnoKPPeXvj6Y4+7gK+BI6X9D3Ss0JEHNuZWM3MzMzMzMzMrPmcOLApWkQcLGkEsC/wM2BG0oD24cCJEfFZ6ZRjSQu8bgGsThqsHwLcEBH/k7QmaUB/DWAjUjmffYDb6YLEQY75AUlLALvmONYF5iItYvwaaS2Ea4CrK+Jv7bofSlo3x9+fVFbnBeAY4M9V8UfE25JWB47LsawAPAPsTZrBUE4cXEYqA7QaaTB9VtIb/n8jfd6PNxpvR+W34M8HHqY6GXAqacbGz0mL6T4GHBgR9RaBnkREXJc/k8NIz0AvUsLgTOCYiPhfp28i9XOOpMeBX5O+r62Bt4F/A+eW2rb3Oe9IPF3aR0Q8JWkA6f72YWK5KCcOzMzMpmCjBm/W7BDMzMzMbCqgCK99aWZmzSVpWN++ffsOGzas2aGYmZmZmZmZmU0T+vXrx/Dhw4dHRL/2nus1DszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDszMzMzMzMzMzMzMbAInDsw6QVKLpJDUp9mxTKkkDcqfUf9mx2JmZmZmZmZmZmZtc+LAvrIk/S4PaIek7zY7HksKiYbizyeSnpd09rScpJE0MN/vwGbHYmZmZmZmZmZmX10zNDsAs2aQJGB3IAABewC/bmpQVnY3MDT/e25gXdL3tJ2klSPiuWYFZmZmZja16nPIjc0OwcxsmjJq8GbNDsHMrFt4xoF9VW0I9AGGAK8DAyTN1NSIrGxoRAzKP/sB3wduAuYEDmtuaGZmZmZmZmZmZtMuJw7sq2qPvD0HuAT4BrBNvcaS1pd0r6QPJY2RdK2kJSvarZJLzVzTyrWekvSppLny7zNJ2lfSTZJeysfGSLpd0iZ1rjEq/3xN0h8lvZzPe17SwXlGRdV5K0m6XNKruf1rkm6V9OOKtitLulLS65I+kzRa0lmSFqhz7X6SbpH0vqRxOf5V630O7RURXwIt+dcVK/qfTdKhkkbm7+kDSQ9K2qFOvDPnskgv5M/iRUnH5v0haWjFOTNI2kfSQ/keP5I0In9/05Xa9snXacn//pukt3PZpUclbV5qPxS4IP96QalUU5/c5uuSjpD0eO7/fUn/zd9pv/Z9oo1r772YmZmZmZmZmdnUzaWK7CtH0rzAlsCzEfGApHHAQcCewOUV7bfL+z/L29eANYAHgX8X20bEQ5KeATaVNHdEvFO61krAksBVETEm754L+AvwAHAb8BYwP7AFcJOkPSLi3IpbmRH4J7AAcDMwHtgaGAzMAhxd6nsP4AzgC+B64DlgHmAFYB/gikLbXYGzgU9z29HA4qTyTltIWiUiXi60Xw24HZgJuBp4HliOVGrozorYO+vz0r31zv0sDwwHziclRjcCLpW0TEQcXmgv4CpgM9LncBrp8xwILFPVoaQZgRvyNZ8BLgU+AdYBTgVWBnauOHUR4BHgBeAi0ve9PXCdpPUj4q7crgUYC2wFXAeMLFxjbI75FmA10rN3Luk7XyjHcC8wrCr2LtTovZiZmZmZmZmZ2VTMiQP7KtqFNEjcAhARj0saBqwjabGIeL7WUNLswFnAl8CaEfFo4dhJwAEV1x8CHAfsQBqQLhpQaFPzLrBIRLxSbCipF3A/cIKkSyLi49K1FgAeAzaoHZN0NPAscKCk4yLi87x/aeB0YFy+jydKfS1U+PcSwP+zd9/hdlV1/sffHyli+RnE3iBgHwuaiB0JRVERwTIiVmBURkYFdRxAUaIgomOJ2HuwIDiACINiAQMCCpoQRsSKBgEVpQSkt+/vj7VPOJycm3tvcm9uyvv1POfZOXuvvdZ373POzfOs715rfRZYBGxVVZf0HdsW+AEt0fGibl9oHfV3AXauqu/0ld8bmDPkHo1bknWAf+venj5weA4tabBvVX2o75wNgOOAdyY5uqoWdodeRUsa/ATYrqpu6sq/B/jZCCG8i5Y0+CSwT1Xd2hfX54E9uja+M3DeLGB2VS1J5CQ5gpYEeAfwY4CqmtsNFNkJOK6q5g5c/+NoSYPjqupFA8fuBEwbIe6JNIsxXIskSZIkSZJWb05VpLVK18n9Oloi4Kt9h+Zy+yLJ/XaiPVV9RH/SoDMbuGpIM1/r6n9t/860NRReDvydNkIAgKq6cTBp0O2/itYhf0+GTM3TeUt/QqGq/k57Wn0a8Mi+cm+kJQoPGkwadOddPFB2PWDv/qRBV+5k2giEHZP8v27307u2ThvSaf5J4IIRYh/NrG4qodlJDgPOo3Xcnw8c1CuU5F60RMAv+pMGXbw3APvSPttX9B3qfTYH9JIGXfnF/XX3tXEn4M209TDe2ksadOfcShuxUsArh1zHhcDBA3F9H/gz8ORlXP9IBhNIVNVtVXXlctQ1Xit8LUnmD3vRRuJIkiRJkiRpFeCIA61ttgEeCnx/oFP8COAjwG5JDug9qQ/M6LanDlZUVVclWQhsNbD/4iQnA89O8i9VdX53aEdaEuJjVXVL/zlJHkN7YvtZtGmKNhho7kFDruWq/tERfS7qtvfs2/fUbvs9Rtdbl2CrJMMSFvcF1gEeQZsaZ1n36NYkp9Pu+XhtxcC9pU3fM6tLqvRs0cVTSWYPqWe9bvvovn1PpCV3zhxSfnA0A7Rr3Yg2rdEBGb6ExPUDbSyJuT/R0Ocibr/XY3E+7fp3TbIJLUF0Oi1hctOyTuxJsjNtCqnB+I4bYwwTdS2SJEmSJElahZk40NrmDd12bv/OqroiyQnAS2ijDI7uDvWmf7l0hPr+NsL+ucCzaU+279vtGzZNEUmeSpuff12g90T/1bSO7Sd08dx5SBuLR2i7l5RYp2/fht32EkZ3r277jlHK3b3bLu89Gs17q2p297T/g4D/BN4CfCvJ87rFkvvj3YKRR2b0x9uL+YrBBE5n2HX02ng4cOAY2+hZPELZWxjHqK8uCbMN8B7gpcAHu0P/THI4sH9VXTNKNTszMBKG9n08boxhLB5h/5ivpaqGLuLcjTqYMeyYJEmSJEmSVi6nKtJaI8l9aB2nAN9MUv0vWtIAbk8uwO1TEd1vhGrvP8L+b9M6/1+VZJ0k9wWeB5xbVecOlD2Atj7Ac6rqeVW1T1W9p6pmA2eN9fpGsbjbDhu5MKh3zdOqKst4nTpQfrz3aEy6aXguqqq9aQmd5wBvGhLvx0aJd+u+c64GNkoyLHk67Dp6bXx7lDY2XZFrHU1VXVlVb62qh3D7YtW/od2Pz4zh/N2GxLzbZMYsSZIkSZKk1Y+JA61NXgusT5te50sjvP4BbJek1wG8oNsOTpnTW7z4CcMa6tYd+BZtAePtaPPrr8vAaIPOw2hPv88bcmypdpdTb8Hf542j7JZjrHtZ92gd4JljrGcs3g7cCLwnyT26fWfTLV49jnrOof39e/qQY8Pi/Q0t+fLUJOsNOT5RetMArbPMUkBV/aGqvkS779fQRqZIkiRJkiRJK8zEgdYmvYWP96qq1w17AZ+jLaT7uq7sd4ArgVckedJAfbO5fZqeYeZ229d0r1uAbwwpt4j29Pvj+3cm+TfaYsAT4TNd++9O8i+DB5M8uO/tJ4GbgY8lecSQsusn6e+kPxP4LfCsJIOd129i+dY3GKqq/gx8gTZ10Nu7fX+n3dcnJXl3l6wYjPmhfckguH1h7IO7Rat75aYB7x7S7i3AJ2jrTxyW5C5D2njAsHs7Tpd3242H1L9pks2GnHNP2lRWSy2aLEmSJEmSJC0P1zjQWiHJLNoCt7+sqrOXUfRLwLuA3ZMcWFXXJHkDcBTwkyRHAX+lPZX+WOA02oLGS6mqM5L8AfhX2gK9J3Sd3IPm0BIEpyf5Fm1anCd1bRxNm89+hVTV+Un2Aj4LnJPkO7SFfu9FWxfgamDrruxvkuwBfBn4VZKTgN9117Ax7cn+fwCP6spXl+T4IXBMkmOBP9BGY2wLnAQ8d0Wvoc8hwL8Bb03yiaq6jJageDjwPuDV3YLMl9JGfDy6u8ZdgT91dXwVeHkX13lJju+u7yXAz4FH0kYx9DsI2Bz4d2DHJKfQ1oy4b9f2M2jfnfNZfj8FrgP2SXIvbl8f4hNd28cm+Tnwa+AvwH1oIw3W4/Y1DyRJkiRJkqQVYuJAa4veaIMvLqtQVS1K8iPawsY70ua0PzrJc2mL4r6MNlXOacDTgP0YIXHQOZzW4dz797A2T0qyI22tg11o09WcTevI34wJSBx07XwhyXm0RYZn0dZ7uAz4PwbuS1V9Pcm5tKf6t6atK3AtrbP6aFoipb/8Gd0ohPdz+3RIZ3XtbM8EJg6q6q9JPgO8DdgfeHtVXZ1kK9r6FK+gJQA2oCUPfg+8lZbY6NVRSV4EvBN4NfBmWkLocODTtHtz9UC7NyfZGXgVsBvwAtpiyP+gJSTezfARJeO5tiuTvIT2XdsNuFt36OvAL4BDaVMTPZc20uAftKm3Dquq761I25Ikae2w6NAdpjoESZIkrQZSVVMdgyStMpI8G/gBcGhV7T/V8awtksyfMWPGjPnz5091KJIkSZIkSWuEmTNnsmDBggVVNXO857rGgaS1UpIHDtl3L9pT/QDfXrkRSZIkSZIkSasGpyqStLb6aJLNaYs7/wN4MG2apY2Az42yFoYkSZIkSZK0xjJxIGltdSxwP9paFhsCNwC/oi2Q/aWpC0uSJEmSJEmaWiYOJK2VqupbwLemOg5JkiRJkiRpVeMaB5IkSZIkSZIkaQkTB5IkSZIkSZIkaQkTB5IkSZIkSZIkaQkTB5IkSZIkSZIkaQkTB5IkSZIkSZIkaQkTB5I0Rkl2S1JJdpvqWCRJkiRJkqTJsu5UByBJkiRJWjmm73fiVIcgSaulRYfuMNUhSNJKZeJAksbu28DPgL9OdSCSJEmSJEnSZDFxIEljVFVXAVdNdRySJEmSJEnSZHKNA0lrpG49gmOS/DHJ9UmuTnJGklcNKbtZks8n+UNX9ookv0zy2ST3GqhzqTUOkmzdnX9+1871Sc5LcmCSDYa0N7urZ1aSlyY5O8l1XbtHJnnQClz33K7uzZK8LclvktyQ5OIkH0tyjxHOe3CST3b368Yklyc5PskWo8T/iiRnJbkmyaLljVuSJEmSJEmrDkccSFpTfQb4FXAabWqhewHPB76W5JFV9W6AJA8Afg7cA/gucAywAbAp8Grgk8Dlo7S1L/Ao4EzgxO78ZwCzgVlJtquqW4ectxfwQuB44FTgKcAuwOZJnlBVNy7XlTcfA54FfAv4DrA9sA+wZZJnVtUNvYJJZgA/ADYCvg8cC9wb2Bk4PcmLquq7Q9p4O/Bs4ATgx8C0FYhXkiRJkiRJqwgTB5LWVI+tqgv6dyRZH/gesF+Sz1bVJcBLaR3m+1TVxwfK3w24bQxt7QX8qapq4PyDgAO6No4act5zgS2q6pd95xwB7ArsROv0X17PAJ5QVRd29e4P/A/wYuAdwEHd/nW7du4ObF1Vp/bF8kBaUuVLSaYPSWRsAzytqs4Za1BJ5o9w6FFjrUOSJEmSJEmTy6mKJK2RBpMG3b6bgE/RkqbbDhy+fkj5a6tqqf1Dyv1xMGnQ+Vi33X6EUw/rTxp0vtBtnzxau6P4eC9p0MV4Gy1hcBuwR1+5HYCHAp/oTxp05/wF+BBwf5a+XwCfH0/SQJIkSZIkSasHRxxIWiMl2Zg2hdC2wMbAXQaK9NYROB44BPhUku1pU/WcAZw/QjJgWFt3A/YGXgQ8Avh/QIa0NegXQ/Zd1G3vOZa2l+HUwR1V9cckFwHTk2xYVYuBp3WHN0kye0g9D++2j6ZN5dTv7PEGVVUzh+3vRiLMGG99kiRJkiRJmngmDiStcZJsRuvUvifwE9r8/VcBtwLTgdcCdwaoqguTPJm2HsFzaVP5AFyU5MNVddgoba0HnEIbIXAebUqifwA3d0UO7LU1xOIh+27ptussq90xuHSE/X8DNqGtR7CYtvYDwL+OUt/dR6hLkiRJkiRJaxgTB5LWRG+jdYjvXlVz+w8k2ZWWOFiiqn4N7NLN9785sB3wZuDjSa6tqi8to62daEmDuVW1+0BbD6AlDqbC/YDfDtl//2571cB2p6o6fpxtjGlEhiRJkiRJklYvrnEgaU30sG57zJBjW410UlXdUlXzq+qDtAWKAXYeY1vHjqetlWCptruRGA8BFnXTFAH8rNtuuZLikiRJkiRJ0irOxIGkNdGibjurf2e3hsHrBvbNTDJtSB3367bXLWdbmwEfHDXSybN3kk364rkT8N+0v/tf6Sv3HeAC4D+SPH9YRUmeluSukxmsJEmSJEmSVh1OVSRpTfRpYHfgf5IcDfwFeCxtDYNvAbv0lX01sGeS02kd6FcCDwV2BG4E5ozS1gnAH4C3JXkccA5tMeYXACd2/54KZwALkxxFm45oe9o0TPOBD/UKVdXNSV5MWxT6xCRnAgtpCZOHAFsAmwEPYPQkiiRJWsUtOnSHqQ5BkiRJqwETB5LWOFX1f0m2Bg4GdqD9rTuXtvDxYu6YOPgmbfHipwMzgbsAlwBHAh+pqvNGaevaJNsAh9JGHWwJ/BE4CPjoQFsr01uBFwGvpy0IfTnwceA9VXVDf8Hufm1OWxviBbSky23AX2mJkAOBy1Za5JIkSZIkSZpSqXJtS0laUySZS1v8edOqWjS10YxdkvkzZsyYMX/+/KkORZIkSZIkaY0wc+ZMFixYsKCqZo73XNc4kCRJkiRJkiRJS5g4kCRJkiRJkiRJS7jGgSStwpLsRlujYDQLq+q4SQ1GkiRJkiRJawUTB5K0atsN2GoM5Q4Hjquq3bpzJEmSJEmSpOVi4kCSVmFVNWuqY5AkSZIkSdLaxTUOJEmSJEmSJEnSEiYOJEmSJEmSJEnSEiYOJEmSJEmSJEnSEiYOJGkVlGRukkoyfapjkSRJkiRJ0trFxZElDZXkXcDB3dtHVdVvRyi3G/CVgd03AX8BTgU+VFXnj9JWjTO83atq7jjPWaa+6xhz3atC3JIkSeMxfb8TpzoESZoQiw7dYapDkKQ1mokDSUtJEuB1QAEBXg/85yinnQsc1/17GjALeC3wsiTbVNXPlnHue4fs26er5+PA4oFjC0eJZWVZXeOWJEmSJEmSRmTiQNIwzwGmA3OB5wKvTfLOqrppGecsrKrZvTdd8uErtOTBB4CtRzqx/7y+83ejdcDPqapF44x/pVhd45YkSZIkSZKWxTUOJA3z+m77BeAbwL2BF42ngqoq4NPd2ydPXGiQ5ClJjk7ytyQ3JbkoyeeSPHBI2c2SfD7JH5Jcn+SKJL9M8tkk9+rKzOP26Za+0q0t0HtNn6CYd07y9SS/S3Jt95qf5C1Jxvy3OMnmSS5JcnWSZ/ft3yjJB5L8urvOq5KcnOQ5Q+rYrbu23ZI8N8m8rnz1ldkyyQlJLk5yY3evf5bkwBW/G5IkSZIkSVqVOeJA0h0kuR/wQuB3VXVmkquBtwNvAI4ab3XddrxrASwrvj2AzwM3AscDFwEPp02ttGOSp1bVn7uyDwB+DtwD+C5wDLABsCnwauCTwOW0kRWLgZ2A73DHKYUWT1DohwK3AWcBl9BGJWxDm9Joiy6eZUqyLXAscC3wrKpa2O3fBJhHGyXyE+Ak4G7AC4CTkuxZVV8YUuVLaSNKvgd8Ftikq++5wInA1bR7fAmwEfBoYC+GT9EkSZIkSZKkNYSJA0mDdgfWo3WmU1XnJZkPbJ3kYVX1h7FU0k1VtFf39qyJCCzJI2gd3IuArarqkr5j2wI/oHXE90ZHvJTW4b1PVX18oK670Tryqaq5LVx2Ao6bpAWMd6iqCwZiuBNtpMNrknyyqka8T0leBXwZ+APwvKq6sO/w4bRO/12r6si+czakJRQOS3J8VV06UO3zgedX1UkD+19PG5E2q6rOHYjj3qNe6TJ036VhHrUi9UqSJEmSJGniOFWRpCX6FkW+Dfhq36G53L5I8kiekGR29/oYsAB4DXA98K4JCvGNtKTG3v1JA4CqOpn2dPyOSf7fwHnXD1ZUVddW1VL7J8tg0qDbdxst0QGw/UjnJtmP9nmcBTyjP2mQZHNgK+CY/qRBV/9i4EDaKIuXDKn6O0OSBv2G3bfLllFekiRJkiRJawBHHEjqtw3wUOD7Ax3zRwAfAXZLckBV3Tzk3M27F8DNwF+BrwGHVtX5ExTf07rtVkm2GHL8vsA6wCOA+bREwiHAp5JsD3wfOAM4v1uDYaXp1lN4B+0p/81oUwn1e9AIp34M2Jk2zdKrquqGgeO9ezItyewh59+n2z56yLGzR2jzG8CLgbOSHAX8GDijqi4eofyYVdXMYfu7kQgzVrR+SZIkSZIkrTgTB5L6vaHbzu3fWVVXJDmB9tT6TsDRQ849vKp2m9To4F7d9h2jlLs7QFVdmOTJwGzaXP4v7o5flOTDVXXYpEQ5oJsy6Oe0tRXOpo0euAK4BdgQ2Bu48winP6vb/u+QpAHcfk+e3b1Gcvch+/42rGBVHZvkBbS1LfYA9uyuYz6wf1X9cBntSJIkSZIkaTVn4kASAEnuQ3uyHeCbSb45QtE3MDxxsDJc1W2nVdXVYzmhqn4N7JJkXdqIiO2ANwMfT3JtVX1pckK9g9fRkgbvrarZ/QeSPI2WOBjJzrS1Db6UZL0hixz37sney5EIGXHURVWdCJzYrQXxFNpCy28E/jfJEydwFIkkSZIkSZJWMSYOJPW8FlifNsXPwhHKvBDYLsmmVfWnlRVYn58BM4EtgRPHc2JV3UK7tvlJzgROo3XK9xIHt3bbdSYk0jt6WLc9ZsixrUY59yLaqIOTgc8lWb+qPtV3/GfddktgwkdQVNW1wCnAKUmuBN4HPA8wcSBJkiRJkrSGcnFkST29hY/3qqrXDXsBn6Mtkvy6KYrxk7T1Ez6W5BGDB5Osn2TLvvczk0wbUs/9uu11ffsu77YbT1SwfRZ121n9O5M8Edh/tJOr6q+0BMMvgU8meXvfsV8APwFenGSPYecneVyS+4412CTP6kZoDBp23yRJkiRJkrSGccSBJJLMoi0o/MuqGmnBXGhP578L2D3Jgd1T/CtNVf2m6xz/MvCrJCcBvwPWo3X4bwn8A3hUd8qrgT2TnA5cAFxJW/x5R+BGYE5f9T+ldYjv0y1k3Jv//xNVdRUr5qu0dRnmJNka+D3wcNr0P8cCu4xWQVX9ozv3+8CHk2xQVe/vDr+CNirgS0neApwFLAYeDDweeCxtEeW/jzHew4AHJTmDlvS4iTbSYxvgQuDIMdYjSZJWMYsO3WGqQ5AkSdJqwMSBJLh9tMEXl1WoqhYl+RFtEd4dgW9PdmBDYvh6knNpC/duDTwHuBb4C23thaP6in+Ttujw02kd33cBLqF1fH+kqs7rq/fKJC8BDgR2A+7WHfo6t68jsLwx/6UbCXEo8Exge+A3wF7AjxhD4qCr54ok2wLfAw7ukgfvrqqLk8ykrd3wEuCVtCmX/kabUugTtNEKY3UI8CLgSbQ1IW4D/tztn1NVV46jLkmSJEmSJK1mUjXi2piSJK0USebPmDFjxvz586c6FEmSJEmSpDXCzJkzWbBgwYKqmjnec13jQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQJIkSZIkSZIkLWHiQNIyJZmbpJJMn+pYtGzd5zRvquOQJEmSJEnS6m3dqQ5AWhslqXGesntVzR1j3YsAqmr6ONuYEEnmAq8dpdjhVbXb5EezakmyG/CV8ZxTVZmcaCRJ0tpo+n4nTnUIkjRuiw7dYapDkKS1jokDaWq8d8i+fYBpwMeBxQPHFk5uOJPiO4wc90j713QLWfqzn05LtFwIzF254UiSJEmSJElLM3EgTYGqmj24r3safRowp6oWreSQJsNxYx0lsbaoqoUMJE2SzKIlDhYN+15IkiRJkiRJK5trHEirgSQvS3JakquSXJ/kl0n2T3LnvjKzuimQNgE26ea7773m9pXbOcnXk/wuybXda36StyRZ6X8TkhzXxfiWIccO6o59qW/f+knelOS7SS5McmOSK5L8KMnzRmhjUfe6e5KPJbmou48Lk+zclVk3ybuS/D7JDUkuSPKmIXUlyWuTnJnkH13Zi5J8P8kuE3hfpiV5R5JTklyc5KauveOTPG2cdb0jyW1JzkiyUd/+pyQ5OsnfuvovSvK5JA8cUse87rNYN8k7u/t0Y3fOB5OsPxHXLUmSJEmSpKnniANpFZfkEGB/4DLgCOAa4HnAIcD2SZ5TVTcBi2jT4OzTnTqnr5qFff8+FLgNOAu4hDbKYRvaFElbAK+elAsZ2R7AOcCHkvykqs4BSLIt8E7gfODNfeU36mI9E/gh8A/gAcCOwHeTvL6qvjiknfW68hvRplFaH9gVOCbJc4C9gKcA3wNuBP4V+ESSf1TVUX31vJ/2efwJ+BZwVdf+Ft05/WVXxKO7tk4DTgSuBDYGXgg8L8mOVXXSsiroEkFzaPfvWOCVVXVDd2wP4PO0az0euAh4OPA6YMckT62qPw+p9ghgS9p9uhp4PvBfwH2B3VfgeiVJkiRJkrSKMHEgrcK6J8v3p3XqPrmq/tbt3x/4NvAC4D+BQ7rpjWZ3Ux4NnQ6ps0NVXTDQzp1oi/a+Jsknq+qsCQh/5yTTRzh2ZFX9povziiS7AqcCRyWZAdwN+DqtU/tlVXVd37lXAptU1cUD1zANOIOWgPhGVV0/0OYDgQXArKq6sTvna7SO+f8BLgAeW1WLu2MfBX4D7McdkwF70hIujx2IiyT3XvYtGZdfAw+sqssG2ngwcDbwMWDExEGSDYBvAC8GPgnsXVW3dcceAXyWlmzaqqou6TtvW+AHtOTMi4ZU/VDgMVV1RVf+XcC5tO/O/r3v6DLimj/CoUct6zxJkiRJkiStPE5VJK3a9ui2B/d3yFbVLcDbaSMHXjeeCgeTBt2+22gdxQDbL1+oS9kJOHCE1x06iavqTODdtCfePwd8Dbg/8Jaq+tVA2RsHkwbd/quALwP3pD39P8w+vaRBd85PaCMH7gns20sadMf+SEtEPDbJOgP13AzcOiSGywb3La+qumpYfd21Hw08KsnGw87tpiP6Ea3jf9+qenMvadB5I20Ext79SYOu/pNpIxB2TPL/hlS/by9p0JW/lpaguBPwpPFcoyRJkiRJklZNjjiQVm0zuu0pgweq6ndJLgY2TTKt6zgfVZJ7Ae+gTTGzGe3p/n4PWoF4++0+zsWRPwhsDbyie//NEaYcIsljaNfwLNo0QRsMFBl2DYuHJU2AvwCbAsOehL+E9nfy/t2/oXWSvxk4P8m3aCMlfjrW+z8eSZ4B7A08jTYV0OA6Ag8CBqcTuh8t4bEZ8KqqOmJI1b01ErZKMizJcl9gHeARLH1ffjGk/EXd9p5Djt1BVc0ctr8biTBj2DFJkiRJkiStXCYOpFXbtG771xGO/5U27/2GtLn2lynJhsDPaR3lZwNfBa4Abunq2Bu48winT6qqqiTHAs/pds0ZVi7JU2mJlHWB3tPxV9NGXzyBNtJh2DWMdH9u6dofdvyWbrte3763An+kzee/X/e6Jcl3gbdX1R9GaGdckryINrLgBtraDBcA19KucxawFcOv8/7APYCLgdNHqP5e3fYdo4Rx98Ed/aMy+vTu0+DIDEmSJEmSJK2GTBxIq7ZeZ/b9aR3Hgx4wUG40r6MlDd47uAZCt57C3ssR44RI8nDgw7Q1DKYBX0zy5N5ivn0OAO4CbF1V8wbq2J+WOJg0VXUrLakxJ8l9gWcCL6ctjPyYJI/pnw5pBRwE3AQ8qap+3X8gyedoiYNhzgW+CMwFTkuyTTftUr/e92VaVV09AbFKkiRJkiRpDeIaB9Kq7ZxuO2vwQJKHAQ8G/jTwFPitjPzk98O67TFDjo3UET3pktyZtgDx3YBdgA8Aj2P4qIOHAVcMJg06K/UaqurvVXVsVb2MNgriocBjJ6j6hwHnD0ka3ImWrFhWXF+nJTMeSEsePGKgyM+67ZYTFKskSZIkSZLWICYOpFXbl7vtAUnu09vZLdb7Ydpv+EsD51wO3CfJXYbUt6jbzurfmeSJwP4TEO/y+jDwROBDVfVD2gLKZwB7JvnXgbKLgI2SPL5/Z5J/Y+IWdh4qyZ27dQcG968HbNS9vW6CmlsEPDzJA/vaCTAb+JfRTq6qo4GXAvcGTu3Whej5JG2B548NSSqQZP0kJhUkSZIkSZLWUk5VJK3CqurMJB8C/gs4L8nRtHnun0d7sv104L8HTjsZ2AI4KclpwI3AuVV1Am1Ng3fQptnZGvg98HDgBcCxtKf9J8rOSaaPcGxRb+Hkbi7/NwFn0aYhoqpuTbIrsJA2ZdH8vul25tASBKd3ixNfBTyJ9hR+r7N8styla/cPtEWDL6QtzPxs4NHA8YMjBFbAx4DPAuckOYbW0f8MWtLgBGDH0SqoquOT7AR8G5iXZLuqOreqfpNkD1pi6ldJTgJ+R1vLYWPaSIR/AI+aoGuRJEmriEWH7jDVIUiSJGk1YOJAWsVV1b5JzqF1rr+G1rl7Aa2T/SNVddPAKQfTFjrekdbRvA5wOHBCVf2le5L8UFpH+/bAb4C9gB8xsYmDnRh5vYFTgblJNqaNmLgKeHlV9RbZpaou6jq3jwOOTPLMqrqpqk5KsiPt+nehTc10NrA1sBmTmzi4Fti3a+vpwM7AP2mfxxu5fYTICquqzyW5EdgHeC1wPfAT2qLML2EMiYOunu8neT4t2fDjJNtX1c+r6utJzgXe3l3Pc7rr+wstAXPURF2LJEmSJEmSVi+pqqmOQZK0lksyf8aMGTPmz58/1aFIkiRJkiStEWbOnMmCBQsWVNXM8Z7rGgeSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEweSJEmSJEmSJGkJEwdaKySZm6SSTJ/qWLTmSXL/JIcnuTjJrd13bcOpjmtFJJnVXcfsqY5FkiRJkiRJK5eJAy23rlNxPK/dxlH3oiSLJi/6UdufOyT+65Kcn+QjSe4zVbFNtiSzu+udNdWx9EtypyT7JPltkn8mOSvJdiOU/ZckNyZ500oKby7wauBU4GDgvcANK6ltSZIkSZIkaUKtO9UBaLX23iH79gGmAR8HFg8cWzi54UyK73B73PcDng+8DXhJkplVdflUBbYWehPwMeCHwP8C/wp8L8mTqurcXqEk6wBfBs4CPjXZQSVZH3g28KOqeuVktydJkrQipu934lSHIEksOnSHqQ5BkjQKEwdablU1e3BfN6pgGjCnqhat5JAmw3FVNbf3JskGwM+AzWkd2cOSJ5ocbwR+XFXPAUjySeAPwJ7AXn3l3go8Hti8qmolxHV/2uitv6yEtiRJkiRJkqRJ51RFWmmSvCzJaUmuSnJ9kl8m2T/JnfvKzEpSwCbAJgNTBc3tK7dzkq8n+V2Sa7vX/CRvSTJp3+uqugH4Rvd2iyHXuFGSDyT5dXeNVyU5OclzhtWXZFqSOd3c+Dck+U2StyXZbPCa+865a3ffFnbXfU2SnybZdUjZJfPUJ3lCkhOTLO6mXTo1ydMHyi8CDuze/rj//veVuV+SD3dTBl3b1ffbbnqnzcZ6L5fDJsDZvTdV9Sfgsm5/L7aHA+8D3lNVv1/ehpI8PMlXk1yS5KYkf+neP3yg3CLgwu7ta4d9V0dp55VJFnTflb8n+VqSByaZ13/Pu7L9n+WTu8/yivSt3ZFk6ySf76bUurqr97wkB3ZJr2Ex3C/Jl5Jc2pVfmOS1y4h5s66NP3Tlr+h+y59Ncq+xXLckSZIkSZJWbY440EqR5BBgf1pH7xHANcDzgEOA7ZM8p6puAhbRnuLfpzt1Tl81C/v+fShwG206mktooxy2oU2RtAVtvvnJdnP/mySbAPOA6cBPgJOAuwEvAE5KsmdVfaGv/AbAKcAM4BxaQmIa8C5gy2ENpi24ewrwRGABbUqeOwHbA0ckeUxVHTDk1CcB/wX8FPgisDHwEuDkJE+oqt925eYAOwNbAYfTPo/+9u8KnAE8lDZl0AlAaJ33OwFHA38cFvsE+DMwsy+WTYB703XcJwnwJeCXtCmNlkuSLYAfAf8POB44H3gU8CpgpyTbVdXPu+JzaJ/33sC5wHHd/oVjaOe/gA8CV9Lu9VW0KY/O6P49kqfRfkun0z7/ewM3dcf27WI9EzgR2AB4BjAbmNXFfmtfDPfuym7W1Xc68ADgs8APhsT8AODnwD2A7wLHdG1sSvvNfRJw+i5JkiRJkqTVnIkDTbokvY7Oi4AnV9Xfuv37A9+mdaz/J3BIN73R7HQLKQ+bDqmzQ1VdMNDOnYCvAK9J8smqOmsSruUu3J6UOH3g8OG0DvRdq+rIvnM2pCUUDktyfFVd2h16By1pcCTwit60OkneT0sKDDOHljTYt6o+1NfGBrRO63cmObqqFg6ctwOw+8C0S3vSOoj3ppvqp6rmdPFuBcytqnkD9WxLSxrMqaq39h9Im+v/zkyezwIfS/I94FfAS4ECPt8d/w/gKcAT+zvHx6NLPnyV1jH+qqr6Rt+xXWif1deS/EtV3dbdr+m0e7hwGd/XwXY2A95PS6TNqKqLuv370RJrL1/G6c8B/r2qPjfk2F7AnwanaEpyEHAA7Z4d1XfoEFrS4A6fZ9o0UD8dUv9LgY2Afarq4wNt3I2WzJMkSZIkSdJqzqmKtDLs0W0P7iUNAKrqFuDttM7G142nwsGkQbfvNtqIA2hP4E+EnbupYWYn+TTwW+BxwGnAZ3qFkmxO62w/pj9p0MW1mDb9zwa0p/x7Xku79v37O3q7TuQ5g4F008C8CvhFf9KgO+cG2tPmAV4x5DrO6E8adL4M3AI8eYRrX5brB3dU1U1V9c/lqGusDqMlWx4G/DvwD1oCaWHXef8B4KCqOj/JG5MsSnJr2vRPO42xjafTntj/aX/SAKCqjqIlix4JPHMFr+UVtMTtJ3pJg66NAvYDlpX4WDhC0oCq+uMI6zr0RmAs+V0kWQ94JfBP2oiE/np+we1Tcg0z7PO/tqqW2j8obUqxpV60+y5JkiRJkqRVgCMOtDLM6LanDB6oqt8luRjYNMm0qlrWFC1LdJ3o7wCeT3ti+m4DRR60AvH226l79fshrcO6f6qip3XbaUlmD6nnPt320QBJ7kF7cv+iERaRHhzNAG0KpnWAGqGN9frbGPCLwR1VdXOSS4F7Dik/klNpU0Ptl2QGbbqaM2id2WN6yr8bTTJ9YPe8IaMbBuO9Dfhw9xr0BdpCyYcm2Rn4NC2xcwwtyXBMkidW1S9HCW/E72rf/mfSRn2cNkpdy/LEbrvU51xVFya5iKXvUc/ZI+zvPfW/N/Ai4BG06ZbSV6T/d/Eo4K7AT0b43c2jJbf6HU8bpfCpJNsD36d9/uevpIWoJUmSJEmStBKYONDKMK3b/nWE43+lzbm/Icue2x1YMvXPz2nzqp9Nm1rmCtrT8xvSOk4nasqc3atqbpJ1aAmKg4BdaJ3S/aMkeovCPrt7jeTu3fYe3fbSEcoN299rYwuGLMw8pI1+i0coewstGTEmVXV1kqfS1qF4Ibc/wX5ZNyLj4IGEyjC70UZnDJo31jj6JXkdMIs2DdYtSd5BSyL8R1VVkp/Rpvd5B/CaUaoby3cV2vdsRfTaWdbnP32EY38btrMbQXAKbQTJebQpif7B7WtxHMgdfxejxbBUO11S48m0EQrPBV7cHbooyYer6rAR6uqvY+aw/d2ogxnDjkmSJEmSJGnlMnGglaGXDLg/sNQUQ7TFWPvLjeZ1tKTBewfnlO/WU9h7OWJcpu5p+t8neQWtQ/ffuvUKju+K9GLfeyydp8DV3fZ+Ixwftr/Xxseq6m1jaGNSVNXFtOsP8C+0Ran/A3gPbfqzd49y/qyJiiXJg2gjED5YVed0ux8N/Kj3BHxVXZvkt8BjxlBl/3d1mPF+V0fS//n/asjxkb4X0NZ1GGYnWtJgblXt3n+gW9T4wIHyvWsYqa2h96Cqfg3skmRdYHNgO+DNwMeTXFtVX1pG7JIkSZIkSVoNuMaBVoZeh+6swQNJHgY8mLag6+K+Q7cy8pPwD+u2xww5NuxJ9gnTTZfTS0x8sBuJAPCzbrvlGOu5Gvgj8KBufv5Bw+bQP5u2JsKY2lgBvSmHljkSoZpfVdUnuH2Uxc6TGdgQn6VNnfS+gf2DI042GGN9I35XO1t325EWrx6rXjtLfc5JNgEeshx19n4Xxw45Nux38RvgOuAJSaYNOT5rWY1V1S1VNb+qPgjs2u3eeWyhSpIkSZIkaVVm4kArw5e77QFJenP903W6f5j2PRx8Svly4D5J7jKkvkXddlb/ziRPBPafgHiXqarOAv6XNkf8a7p9vwB+Arw4yR7DzkvyuCT37dv1Vdq1f6B7er9X7iHAPkPa/TttwdonJXl3X9Kiv42HJtl0ea+tc3m33XhI/Y9JMuwJ9d6+61aw7TFL8iraGhd7VNVNfYfOB57VrSNBks1oIyOGPdk/6AzaAtjPTPLSgfZeSkva/I7ha1CMxxG0aaLe3H3evTZCW+R5zNNH9VnUbWf17+yu/4ODhbsppb5BWwdh9sA5T6ItnMzA/pkjJBlW+ucvSZIkSZKkyeNURZp0VXVmkg8B/wWcl+Ro4FrgecBjaZ2w/z1w2sm0efxPSnIacCNwblWdQOtwfwcwJ8nWwO+BhwMvoD1tvcvkXxXvAXYADkzyja7j+hW0Oea/lOQtwFm0tQUeDDyedq1PA/7e1fEh2hPaLwcemeQHtHnnX0ZbeHdn2giDfm+iXev7gFcnOZ02R/0DaVP0bEF7+vtPK3BtP+7a/UCSxwJXAlTVwbSRBf+d5Ke0DvS/d9e3U3fO4Oc4KbrkxRzatE1nDRz+EPAd4Mzunvbm4R81tm5NhNfSFsA+Ksl3aE/mP5L2efwTeE038mS5VdUFSd5DW2j43CRH0aYOejawEXAu7TszHifQ1nZ4W5LH0UY1bEz7XZzIkEQQ8E5gW2CfLllwOm06pl1oC1+/cKD8q4E9u+/dBbTvxkOBHWm/0TnjjFmSJEmSJEmrIBMHWimqat8k59A6vl8DrEfreDwA+MjAE+MAB9MWoN0ReAbtCezDgROq6i9JtgQOpU31sj2tc3cv4EeshMRBVZ2T5Nu0Tuk9gU9U1cVJZtLme38J7YntdWiLzJ4PfAL4ZV8d13eJj/cBLwXeSuvwP4Q2emFnbp8Lv3fO1Um2At5AS1S8hDYNz6W0BMpbaZ3eK3Jtv+46z/+Tdk970/wcDHyf1gH9LFqy4B60BYN/CHy0qs5ckbbH4VO0BbGXWk+hqo5PsiewL+379nvgxVX1y8Gyw1TVWUm2oH03t6N9By8DvgkcVFW/nYgLqKoPJLkYeBuwOy0p8X1agu0HDHz2Y6jv2iTb0H4Xs2ijI/5IW9D7owz5XVTVZUmeQfvO7Qg8iTbi4o20EQyDiYNv0qaBejowE7gLbaqoI2m/4/PGE7MkSVr5Fh26w1SHIEmSpNVAuvVDJa1Ckrwe+Dzw71X1uamORytPN8XSpcDCqnraVMezsiSZP2PGjBnz58+f6lAkSZIkSZLWCDNnzmTBggULqmrmeM91jQNpCiV54JB9G9OepL+FNv2M1kBJ7pNkvYF96wIfoY3y+PaUBCZJkiRJkqS1nlMVSVPrmK7zeD5tPYTptDnp7wrsX1V/mbrQNMleArwvyY+Ai2hrGzwLeASwkDa1lSRJkiRJkrTSmTiQptbXaAvOvoS2MPI1tEWVP1lVx05lYJp0Z9EWI34WcK9u35+A9wMfrKrrpyowSZIkSZIkrd1MHEhTqKo+DXx6quPQyldV59AW15YkSZIkSZJWKa5xIEmSJEmSJEmSljBxIEmSJEmSJEmSljBxIEmSJEmSJEmSljBxIEmSJEmSJEmSljBxIGlSJZmbpJJMn+pYJEmSJEmSJI3OxIG0Guo64sfz2m0cdS9Ksmjyoh+1/blD4r8uyflJPpLkPlMV22RLMru73llTHYskSZIkSZLWXutOdQCSlst7h+zbB5gGfBxYPHBs4eSGMym+w+1x3w94PvA24CVJZlbV5VMVmCRJ0upq+n4nTnUIktZgiw7dYapDkCRNEBMH0mqoqmYP7utGFUwD5lTVopUc0mQ4rqrm9t4k2QD4GbA58CaGJ08kSZIkSZIkrSCnKpLWAkleluS0JFcluT7JL5Psn+TOfWVmJSlgE2CTgamC5vaV2znJ15P8Lsm13Wt+krckmbS/KVV1A/CN7u0WQ65xoyQfSPLr7hqvSnJykucMqy/JtCRzklyc5IYkv0nytiSbDV5z3zl37e7bwu66r0ny0yS7Dik7q6tndpInJDkxyeJu2qVTkzx9oPwi4MDu7Y/7739fmfsl+XCS33btL+7+PTfJZmO9l+M13muRJEmSJEnS6s0RB9IaLskhwP7AZcARwDXA84BDgO2TPKeqbgIW0Z7i36c7dU5fNQv7/n0ocBtwFnAJbZTDNrQpkrYAXj0pF3JHN/e/SbIJMA+YDvwEOAm4G/AC4KQke1bVF/rKbwCcAswAzqElJKYB7wK2HNZgkg27c54ILAC+TEu+bg8ckeQxVXXAkFOfBPwX8FPgi8DGwEuAk5M8oap+25WbA+wMbAUcTvs8+tu/K3AG8FDgh8AJQGiJnp2Ao4E/Dot9Ao31WiRJkiRJkrQaM3EgrcGSPI2WNLgIeHJV/a3bvz/wbVrH+n8Ch3TTG83uLaQ8bDqkzg5VdcFAO3cCvgK8Jsknq+qsSbiWu3B7UuL0gcOH0zrQd62qI/vO2ZCWUDgsyfFVdWl36B20pMGRwCuqqrry76clBYaZQ0sa7FtVH+prYwPgOOCdSY6uqoUD5+0A7D4w7dKewGeBvYG9AKpqThfvVsDcqpo3UM+2tKTBnKp6a/+BJOsDd2byjelaJEmSJEmStHpzqiJpzbZHtz24lzQAqKpbgLfTRg68bjwVDiYNun230UYcQHsCfyLs3E2NMzvJp4HfAo8DTgM+0yuUZHNaZ/sx/UmDLq7FtOl/NqA9Gd/zWtq1799LGnTlL+KOIy16bdwLeBXwi/6kQXfODcC+tKf/XzHkOs7o72jvfBm4BXjyCNe+LNcP7qiqm6rqn8tR13it8LV001ot9QIeNcGxSpIkSZIkaTk54kBas83otqcMHqiq3yW5GNg0ybSqumosFXad6O8Ang9sRpsSqN+DViDefjt1r34/pI146J+q6GnddlqS2UPquU+3fTRAknvQnty/aIRFpAdHM0CbgmkdoEZoY73+Ngb8YnBHVd2c5FLgnkPKj+RU2tRQ+yWZAXyXNnXRwqq6dSwVdKNJpg/snjdkdMNIJupaJEmSJEmStAozcSCt2aZ127+OcPyvtHnqNwRGTRx0U+n8HNgUOBv4KnAF7YnzDWnT1UzUlDm7V9XcJOvQEhQHAbvQRhv0j5K4V7d9dvcayd277T267aUjlBu2v9fGFgxZmHlIG/0Wj1D2FloyYkyq6uokT6WtQ/FCbh/ZcVk3IuPggYTKMLvRRmcMmjfGMBaPsH/M11JVM4ft70YdzBh2TJIkSZIkSSuXiQNpzdZLBtwfWGqKIeABA+VG8zpa0uC9g2sgdOsp7L0cMS5T9zT975O8gva0/L916xUc3xXpxb53VR02hiqv7rb3G+H4sP29Nj5WVW8bQxuToqoupl1/gH+hLUr9H8B7aFPPvXuU82dNdoySJEmSJEla/bnGgbRmO6fbzho8kORhwIOBP3VrAfTcyshPjz+s2x4z5NiwJ9knTLeOQi8x8cFuJALAz7rtlmOs52rgj8CDkkwfUuSZQ/adTVsTYUxtrIDelEPLfHq/ml9V1Se4fZTFzpMZmCRJkiRJktYeJg6kNduXu+0BSXpz/dN1un+Y9jfgSwPnXA7cJ8ldhtS3qNvO6t+Z5InA/hMQ7zJV1VnA/9IW0n1Nt+8XwE+AFyfZY9h5SR6X5L59u75Ku/YPdE/v98o9BNhnSLt/B74BPCnJu/uSFv1tPDTJpst7bZ3Lu+3GQ+p/TJJhoyF6+65bwbYlSZIkSZIkwKmKpDVaVZ2Z5EPAfwHnJTkauBZ4HvBY2kLA/z1w2sm0efxPSnIacCNwblWdQOtwfwcwJ8nWwO+BhwMvAI6lrUEw2d4D7AAcmOQbVXUT8AraAtBfSvIW4CzafPwPBh5Pu9anAX/v6vgQ7Qn9lwOPTPID2noQLwNO647dNtDum2jX+j7g1UlOp62H8EDaoshbALsCf1qBa/tx1+4HkjwWuBKgqg6mjSz47yQ/BX7XXcuDaQtI38bSn6MkSZIkSZK0XEwcSGu4qto3yTm0ju/XAOvR1js4APhI1/He72DaQsc7As+gTZtzOHBCVf0lyZbAobQpfbYHfgPsBfyIlZA4qKpzknwbeDGwJ/CJqro4yUzgzcBLgFd2cf8NOB/4BPDLvjqu7xIf7wNeCryV1uF/CG30ws7cvhZC75yrk2wFvIGWqHgJsAEtefD7ro4fruC1/TrJa4H/pN3TDbpDBwPfp41EeBYtWXAP2uLWPwQ+WlVnrkjbkiRp7bDo0B2mOgRJkiStBlJVUx2DJK0ykrwe+Dzw71X1uamOZ22RZP6MGTNmzJ8/f6pDkSRJkiRJWiPMnDmTBQsWLKiqmeM91zUOJK2VkjxwyL6NgXcDtwAnrPSgJEmSJEmSpFWAUxVJWlsdk2Q9YD5tPYTptLUa7grsX1V/mbrQJEmSJEmSpKlj4kDS2uprwKtpaxVMA66hLar8yao6dioDkyRJkiRJkqaSiQNJa6Wq+jTw6amOQ5IkSZIkSVrVuMaBJEmSJEmSJElawsSBJEmSJEmSJElawsSBJEmSJEmSJElawsSBJEmSJEmSJElawsSBpLVWkt2SVJLdpjoWSZIkSZIkaVVh4kCSJEmSJEmSJC2x7lQHIElT6NvAz4C/TnUgkiRJK8P0/U6c6hAkraEWHbrDVIcgSZpAJg4krbWq6irgqqmOQ5IkSZIkSVqVOFWRpNVCtx7BMUn+mOT6JFcnOSPJq4aU3SzJ55P8oSt7RZJfJvlsknsN1LnUGgdJtu7OP79r5/ok5yU5MMkGQ9qb3dUzK8lLk5yd5Lqu3SOTPGgFrntuV/f0JHt213FDkku7GKcNOaeSzButvr5907t9c5M8NMnRSS5P8s8kP0jy2K7cfbo2/9rF8PMkWy/vtUmSJEmSJGnV5IgDSauLzwC/Ak6jTS10L+D5wNeSPLKq3g2Q5AHAz4F7AN8FjgE2ADYFXg18Erh8lLb2BR4FnAmc2J3/DGA2MCvJdlV165Dz9gJeCBwPnAo8BdgF2DzJE6rqxuW68uZDwPbACcAPgK2B1wMPA7ZZgXr7TQfOAn4NzO3evwiYl+RpwEnA1cBRwEbAy4HvJXlEVf15gmKQJEmSJEnSFDNxIGl18diquqB/R5L1ge8B+yX5bFVdAryU1qm9T1V9fKD83YDbxtDWXsCfqqoGzj8IOKBr46gh5z0X2KKqftl3zhHArsBOwLfG0PZIngo8rtdBn2Rd4BRg6yRPrqqzV6Dunq2AA6rq/b0dSd4NvI+WUPgWsFdV3dYd+yHwVeCt3UuSJEmSJElrAKcqkrRaGEwadPtuAj5FS4JuO3D4+iHlr62qpfYPKffHwaRB52PddvsRTj2sP2nQ+UK3ffJo7Y7iff1P9VfVLcBXJqjunkXAoQP7Du+2dwbe0UsadI4AbgGeMNYGkswf9qKN8JAkSZIkSdIqwMSBpNVCko2TfCrJb7r1AypJ0aYiAuitI3A8cA3wqW5NhDckeUySjKOtuyV5ZzeH/1VJbuva6k1xNNKaBb8Ysu+ibnvPsbY/BXX3LBwyBdNfuu3vquqf/Qe6spcCD56g9iVJkiRJkrQKcKoiSau8JJsBZ9M6yH9Cm+P/KuBW2jz8r6U9EU9VXZjkybT1CJ4LvLir5qIkH66qw0Zpaz3aFEBPBs6jTUn0D+DmrsiBvbaGWDxk3y3ddp1ltTsGk1l3z1WDO6rqli7nstSxvhjWG2sDVTVz2P5u1MGMsdYjSZIkSZKkyWPiQNLq4G20xZB3r6q5/QeS7EpLHCxRVb8GdunWAdgc2A54M/DxJNdW1ZeW0dZOtKTB3KrafaCtB9ASB6u6YuS/7xuuxDgkSZIkSZK0GnKqIkmrg4d122OGHNtqpJOq6paqml9VH6QtUAyw8xjbOnY8ba1irgQeMrgzyTqMYz0CSZIkSZIkrZ1MHEhaHSzqtrP6dybZHnjdwL6ZSaYNqeN+3fa65WxrM+CDo0a6ajgb2DjJcwb2HwBsMgXxSJIkSZIkaTXiVEWSVgefBnYH/ifJ0bQFex9LW8PgW8AufWVfDeyZ5HTgAtrT9w8FdgRuBOaM0tYJwB+AtyV5HHAOsDHwAuDE7t+rug8D2wPfSXIUcAXwdGBTYB4DSRFJkiRJkiSpn4kDSau8qvq/JFsDBwM70P52nUtb+Hgxd0wcfJO2ePHTgZnAXYBLgCOBj1TVeaO0dW2SbYBDaR3sWwJ/BA4CPjrQ1iqpqk5OsjPwHuDlwLXAD2mxv3cKQ5MkSVNs0aE7THUIkiRJWg2kqqY6BknSWi7J/BkzZsyYP3/+VIciSZIkSZK0Rpg5cyYLFixYUFUzx3uuaxxIkiRJkiRJkqQlTBxIkiRJkiRJkqQlXONAklaiJLsB08dQdGFVHTepwUiSJEmSJElDmDiQpJVrN2CrMZQ7HDhuUiORJEmSJEmShjBxIEkrUVXNmuoYJEmSJEmSpGVxjQNJkiRJkiRJkrSEiQNJkiRJkiRJkrSEiQNJkiRJkiRJkrSEiQNJkiRJkiRJkrSEiYNlSDIvSU11HBMpycOTfDvJ35JUksVTHZMgyezu85g1jnOmd+fMnbTAJEmSJEmSJK111p3sBvo63v8MPLKqbhhSZhGwCbBeVd0y2TGtrZKsAxwHPAz4GnAxsNTnMeS8sSRPtq6qeSsSn5bW3ftTq2rWVMeytkryEGB/YCbt79Q9gcuBC4AvA1+vqptXoP4DgIO6t8+uqh+tWMSTY5S/A2dV1VNXWjCSJGm5Td/vxKkOQdJqbNGhO0x1CJKklWTSEwd9Ngb2AQ5diW3qjjYF/gX4QlW9YTnOf+8yji1arojU80ngSFqCTauWhwKvBM6iJd6uAO4FPI+WOHh1kucsT9IzyQzgPcA1wN0nKuBJdCEwd8j+i1dyHJIkSZIkSZpEKytxcCVQwH5JvlhVl62kdnVHD+y2f1mek6tq9sSFon7db8LfxarpTOCeVXVb/84k6wE/ALYGXgx8azyVJtmANvLn57TRC6+ekGgn1yL/DkiSJEmSJK35VtYaB9fRpuKYBhw4lhOSzOrmb589wvFF3RRH/ft2687ZLcmzk/wkyTVJ/pHkK0k27Mo9Mcn/JrmyO358kunLiOXOSQ5O8qckNya5IMmBSdYfofyjksxNclGSm5JcmuSIJI8cUnZuF/NmSd6c5P+SXJ9k3hjv08wkxyT5exfbhUk+neQBA+UKOLV7e2DX5oj3d3kl2TTJ4iRXJNlk4Njdkvw6ya39c/kneUSSQ5P8ovusetfx+SQPHtLGku9GkiclOSnJVd3neUw3tQzdPT2yq/P6JD9OsvmQ+u6X5MNJfpvk2i7+33afzWZjuOafdp/z3Qb2n9rF+aWB/Y/u9n+1b98d1jjofZe7w1v1fV5DP7O09Q6OTHJZkhu6e/mC0WIfqGPLJCckubj7DP6W5GdJlvrNJrlrkn27dv7Z/Y5+neSwJPcbKPuAJJ9K+83e1H0exyaZOaTe/t/wc9PWGbmq716QZN0ke3WxXZ3kuiTnJHlTkqX+piV5YZKTk/y1u66/dJ/NXmO5L1V102DSoNt/M20EAsDDx1LXgA/QRgHtBixV/1gkuVOSf0/y8+4zuLb79xtHuBfV3dP7J/likku63+Nuy9O+JEmSJEmS1kwrc6qiTwFvAvZMclhV/X4S23oh8ALgf4HPAk+ndc5NT7I/cDLwE+BLwOOAHYHNkjx+WAch7UniLYCjgZuBnYDZwJOSvLCq+js1nwscC6wHnAD8AXgw7YnkHZJsXVULhrTxcWBL4ETgu8Cto11k1zF8DJAutgtp87C/EdgpyTOr6k9d8fcC04HX0hII87r985hAVfWnJK8D/gc4IslWfVO4fBp4FDB7YD2EFwP/DvyY9nT3TcBjgNcBOyZ5UlVdMqS5LYB9u+v5Au2zfDHw2CQ7AacDvwG+Spub/sXAD5NsVlXXQOsAB86gTUfzQ9pnlq78TrT7+sdRLvtk4Km0z++kvnp7c75vO1B+277zRrKQ9pkdyNLTw8wbKLsJcHYX59eAjYBdgO8k2a6qfjxK/L3v7YnA1cDxwCVdPY8G9qJvmqok96R9VpsDv6VN13MT7R7uTvv+X9qV3ZT2OTwQOAX4JvAQ4F9pv4eXVNX/DgnppcBzge/RfsObdPX1flfbd20fQVunY2vgE8BT6HtyP8kbgM8Bf+vOuwy4L/D4LtZPj3ZvRpK2Zsjzu7f/N85ztwH2Bt5aVb9PsrxhfA14BXAR8EXayK4X0a7rmbQplgZtBPyMNj3SsbSkxaVjbG/DJHsA9weuAuZX1c+WN3hJkiRJkiStmlZa4qCqbk6yH61D+YO0TtzJ8kJg26o6FdpTucD3ge1onfJvqKpv9Ap3T4TvQUsgfGdIfY8GHlNVV3bl30XrOH0B8Cpa512vQ/WbtBEWz6qq8/vaeCyts+6LwIwhbcwAntjX0b9MSe4OHE77DGdV1U/6ju1LW0vic8BzoE0z1D3N/lpg3vJMNzLsSffODVW1ZO2Kqjo6yWdoCYyDgP2TvBZ4De2+HTRw/teAj1XVjQPtPYfWcXxAV9eg5wOvGuGzPBP4SFW9v+/Yu4H3Af9GS9RA68R/KDCnqt460P76wJ1HuOZ+pwDv6uo6qdu3JbA+LRnx7CQPraoL+trsnTdUVS0EFnZP+482PcwsWjKmv3P/iC6Wd9Du+WheTxuBNKuqzu0/kOTeA2U/RUsafBb4j/5kW/e9XKev7GdpSYMDBj6LTwOnAYcn2aSXyOnzfOD5VXXSwP530ZIGnwT2qapbu/rWAT4P7JHk6Krq/Y73pCU1Nq+qv49yXcvUlX8TLbF0H+DZtIXGj6iqE8ZRzzRaIugnwGHjiWGgnl1pSYNzaH9vesmwA2jJtFckObGqjhg49XG039wey7Euw+a0hGt/HOcCr66qX44x7vkjHHrUOGORJEmSJEnSJFlZUxUBrUMZ+CnwoiTPnMSmvtlLGnTt3kbXuQ+c19/R3OlNGfOEEeo7qJc06Oq7Adi/e7tHX7nXABsCB/YnDbpzzqM9Ff/EJP8ypI0PjTVp0NmJ9uTwUf1Jg85HaIsVPzvJxuOoczQHjvDab0jZtwHnAvsmeROts/kfwCsHR3VU1SWDSYNu/w+AX9E6ioc5fchneXi3vYqlF+Je1ud8/ZD2b6qqf47Qdr8zaU+9948s2Ba4hdun5toWliSxZgG/r6qLxlD3WFwIHNy/o6q+T1to+cnjrGvYfViy9kKS+9JGM/wV+M8hn+U1VXVVV/bBtMTVn4EPDZQ7k5Zk24jhScTvDCYNunv3Ztrogbf2kgZdfbcCb6c9cT/4lP0ttJFCI17XGN2b9nm+h5bIeijwYdpopvH4BO26d+8frbQcen979utPvFTVtbSRONBG7Qy6ifbZjTdp8FHgGbSkyf/j9lFYmwOnJHnQOOuTJEmSJEnSKmplTlXU83ZaR+uHuX0ql4n2iyH7egsCD3vatTcNzlLz6XdOHbLvdNp0Qk/s2/e0brv5CE/nP6LbPho4f+DY2SO0PZLeqIWlnlqvqluSnEabmuiJtI7bFVZVY55PpapuSLIL7bP4BK1D96VV9dfBsmnztLyS1gG7OXBP7vjU+k0jNLOsz3lhf8dyZ9jnfGq3f78kM2gjUs4Y4fyhums9E9g6yb2q6nJgG+DnVfXTJJfSEgefp31uGwJHjaXuMRop1ou4/Ts5mm/QOvDPSnIUbZTCGVV18UC5LWgJx9O6Dupl6f02ftKtBzDoFNqInSdye1KnZ9jv4RG0DvffAweMML3P9bTfV883aIm085McSfu8z6iqf4wS+1Kq6je0r+s6wINoUwK9D3hmkh2q6orR6kjyEtpUSv9RVaNNgTWaGbRphuYNOXYqS/996lk0OPpiLKrq7QO7fgH8a5KjgZcA/wm8dakTl65nqbUtYMlIhGGjsSRJkiRJkrSSrfTEQdeRejTw0iS7VNVEdqD2XDVk3y1jOLbeCPUtNf931znfmy+9517d9vWjxHf3Ifv+Nso5g6Z126U64gf2bzjOeifS72hzvz+dlij5wQjlPgrsQ4v5+7SO/N6T77vRzW8/xLg+5+4zg77PuaquTvJU2hz+L+T20Q2XddPpHDxCp/egk2nJgq2TnEzrsD2kO3YKsF2XIBnL+gbjtXiE/bcwxlFFVXVst2bG22lPsu8JSzpz96+qH3ZFN+y2w9acGLQi39Fhv4fe7+vhLHuR9SW/r6r6aPc73Qt4C+17VklOBd5RVcOST8vUJWn+DHy8Swp9k5ZAeNOyzkuyEW3qppOBz4y33SGmAVdU1VKJtRH+PvWM92/NaD5LSxw8a4LrlSRJkiRJ0hRZqVMV9dmfNnXIB7p55IfpTYEyUnJjw4kOahnuN7gjybq0qUuu7tvd66zevKqyjNfhg/XRnsgfj15b9x/h+AMGyk2F/WhJg8toix3vP1igm/rmLcB5wCOr6lVVtW9Vze7m9V9qCqOJVlUXV9W/0TpZH9vFczltSpr3jLGa3siP7WgL9d6J25MDp9Cmd9mcljgoxrbuwEpVVSdW1Ta0ER/bAh+jfW7/2ze91uJuO5ZpaVbkOzrs99Ar9+1Rfl+b3qGiqq9W1VNpiYcdaHP0Pwv4fpL7jOE6luV73XbWGMpuTPubsS1wW5LqvWhrj0BbvLuS7DOG+q4CNuoWjL6DEf4+9azI9EjD9EZv3G2C65UkSZIkSdIUmZLEQVX9Afg0sCltzvJhemsKPGTwQJKHcfvTzCvDVkP2PZM2nc45fft+1m23nPSIbm931uCBrtOwF8OClRDLUpI8nfYU9m9pnfG/Bd47ZG2LzWjfwx8MrifQzZG/2UoIF4BqflVVn6AtfAuw8xhP/zmtk3Zb2siD62nrecDtCYTn0+aI/79xzK9/G3ectmnSVdW1VXVKVb2NNmpifeB53eGzu5ielWS0juLed/SZ3Xdy0Nbddqzf0d/QEhdPHdZZPpqqWlxV362q19MWJ96IFX9KvpdAGct6AZfTkhbDXr/vynyve3/eGOo7h/bbGXYNz6J9b1bG77835dyKTr0kSZIkSZKkVcRUjTiA1qm8GHgXw6fu+Q2tI3an7ql0AJLcBThsZQTY591J7tkXwwbAB7q3X+kr9xXaNR2YZKlFaZPcKcmsCYrpOOAKYNduqp1++9CSMj+qqglZ32A8unv1Tdoc6y+vqktpC+reAhzRTdnSs6jbPrObO75Xx91pi0lP6nRaSR6TZKkRJdw+yuS6sdTTTV9zGvAw4F9pCzff2B37E+069wbuypB1KZbhcoYkzyZakmeN0Ll/h/vQrQ1wJG20wIe7BYv767l7kmld2YuBH9LW2thnoNxTgFfQEoTfHkuM3WK+n+jaPqz7WzB4HQ/oX3w8ydYZvhhC72/KqJ9vkhn9382+/XcHPt69PXEM8V9UVa8b9qKt+wLw0W7fj0arD/hyt/1Akrv2xXVXbl8Y/EtjqGdUSR4/wsiGxwPv795+fSLakiRJkiRJ0tSbisWRAaiqK5IcAnxohOM3J/k48G7gnCTfpsX7bNoCuH8Zdt4k+TXwq25thpuBnYCH0joLv9YX8+VJXkrrCP1ZN9f9r2hTgzyEtlDtvYANVjSgqromyR7A/wCnJvkf2rzrM4Hn0OYx33NF2+k3woLPPcdV1cLu31+mTcvylt6+qjo3yduBT9Ke9n5ht/9v3aK1LwcWJvkBbTTJs4EbgIXAEybyOgY8G/jvJD+lrcnwd9riyTvRnqz/73HUdTLwAlqn9OAaBicD/9b37/HU+fIkJ9CeHr+ZtjDxaeOoYywOAx6U5AxakuMm2ndpG+BCWrKg5020UST/DsxK8v2u/Ka0NSJeyO0L9v47bbHp/07yHNqCug+hJVduA3YfHGkyioNoUz79O7BjklNo6y3cl7b2wTNoycje4uPfBq5J8rPuukIbjbMFbaH0sXTQvwd4RrcA9p9pyYaH0EZhbEjr9P/AiGdPkqo6IslOwMtof5+Oo/2t2Zn2WRxVVd+YoObeRrvfP6Etun0j8CjgubSRDV+gJQslSdIqbtGhO0x1CJIkSVoNTFnioHMYbdHS6SMcP5DWSfd64A20zvAjgdnc3jG4MryMlsB4JfBAWkflbODQqrrDfOFVdXL3FO5/0jpRt6R1qv6F9qT5MRMVVFV9J8kzgHd2bU2j3aPPAgdV1UQnV5a1IO0iWsf/m2kdl8d3U/70x/upJNsCL0ry1qr6WHfo32jTnOwC/AdtzvTjaR22E3a/RvB9WpLjWbRkwT1oi/b+kPb095nLOHdQf0JgcFRBL3FwC21kwljtTesM3pY21dGdaAs5T3Ti4BDgRcCTaOs03EbrJD8EmFNVvanDqKoru6mo9qF9Zm+gjS65iJY0Or+v7B+TPAk4oIt/Fm0k0UnA+6vq5+MJskso7gy8irZw9gtoI5b+AfyJ9jvt7yzfj/bbmNG1fwMtEbIv8JkxLnz9BeAa4Mld/HeljZSYD3wL+HI3GmIq7AqcSt+C1rRE50eYmAWYe46j/TYeT0smbUAbDfM94AtVdfwEtiVJkiRJkqQploF+b0mSVrok82fMmDFj/vz5Ux2KJEmSJEnSGmHmzJksWLBgQVXNHO+5U7nGgSRJkiRJkiRJWsWYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJAkSZIkSZIkSUuYOJC0RksyL0mN85xKMm+SQpIkSZIkSZJWaetOdQCStDpIMhs4ENi6quZNbTSSJEnLZ/p+J051CJJWYYsO3WGqQ5AkrSJMHEjS0h4NXDfVQUiSJEmSJElTwcSBJA2oqt9MdQySJEmSJEnSVHGNA0mrrCR3T3JTkjMG9t8lyQ3dWgSvHjj2xm7/HgP7103yziS/T3JjkouSfDDJ+kPavcMaB0kW0aYpAvhxd7wG105Ictck+ydZmOTaJNck+WmSXVfgHkzv2prb/fvIJJd11/+LJC8Ycs7s7pxZy6pvYP/cbv+mSd6U5PyujUXdfUtX7l+TnN1d39+TfDLJXZb3+iRJkiRJkrTqccSBpFVWVV2T5GzgKUn+X1X9szv0DODO3b+3Bb7Wd9q23fbkgeqOALYEvgdcDTwf+C/gvsDuo4QyB9gZ2Ao4HFg0WCDJhsApwBOBBcCXacnZ7YEjkjymqg4YpZ1l2QQ4G/gj7Xo3AnYBvpNku6r68QrU3e/DwCzgBOAHwAuB9wPrJ7kCOBQ4DvgJ8GzgP4B1gDdOUPuSJEmSJEmaYiYOJK3qTqElCp4F9Fbz2xa4FTiV2xMFJLkTsDXwx6q6cKCehwKPqaorurLvAs4FXpNk/6r620gBVNWcLjGwFTB3hMWR59CSBvtW1Yf6YtqA1tH+ziRHV9XCMV310mYBs6vqvX11HwGcBLwDmKjEwUzg8VV1SdfGbOAPXRvXATOr6tfdsTsD5wB7JDmwqv4+WuVJ5o9w6FETELskSZIkSZImgFMVSVrV9UYObNu3b1tgPnAs8OAkj+j2P4H2JP7gaANoHfpX9N5U1bXAN2h/B5+0IgEmuRfwKuAX/UmDrp0bgH2BAK9YgWYuBA4eqPv7wJ+BJ69AvYMO6iUNujYWA8cDdwU+00sadMduBI4C1qctKC1JkiRJkqQ1gCMOJK3qfgpcT5c4SDINmAF8iDYage7Y74BtuvensLRfDNl3Ube95wrGuAVtup7qntAftF63XZHO9YVVdeuQ/RcBT1uBegcNu09/6bbDRgv0kgwPHkvlVTVz2P5uJMKMsdQhSZIkSZKkyWXiQNIqrapuSnI6sF2S+wBPp3XSn1xVv07yV1ri4DPdthiSOOienB90S7ddZwXDvFe33aJ7jeTuK9DG4hH238LEjh67aoQ2Rju23pBjkiRJkiRJWg05VZGk1cEptKl+tu1eNwBn9B3buptvf0vgV2OZa3+C9TrUP1ZVWcZr65UUz23ddlhyeMOVFIMkSZIkSZJWUyYOJK0O+tc52AY4s1s7oHdsI+CNwN0Yvr7BROhNEzRsdMLZtM76LSep7fG6sts+ZMixFVrPQZIkSZIkSWs+EweSVgcLaE/17wQ8hjsmB3rTEu0/8H6iXd5tNx480I1w+AbwpCTvTrJUciHJQ5NsOkmxDTq72+6eZMmogyQPAd6zkmKQJEmSJEnSaso1DiSt8qrq1iTzaIkD6EscVNWFSS4AHkobFXDqJIXxY9qogg8keSzdU/1VdXB3/E3Aw4H3Aa/u1mW4FHggbVHkLYBdgT9NUnxLVNVZSU4DngWcneQU4H7AjsD3GT4SQZIkrQUWHbrDVIcgSZKk1YAjDiStLnrJgquBX4xwbH5VDVvAd4VV1a+B1wJ/A/YCDupeveNXA1sBbwYuA14CvA3YGvgn8Fbgh5MR2wh2Ar4IPLiL6YnAfwH7rsQYJEmSJEmStBpKVU11DJKktVyS+TNmzJgxf/78qQ5FkiRJkiRpjTBz5kwWLFiwoKpmjvdcRxxIkiRJkiRJkqQlTBxIkiRJkiRJkqQlXBxZklaiJNOB3cZYfE5VLZ60YCRJkiRJkqQhTBxI0so1HThwjGXnAosnKxBJkiRJkiRpGBMHkrQSVdU8IFMdhyRJkiRJkjQS1ziQJEmSJEmSJElLmDiQJEmSJEmSJElLmDiQJEmSJEmSJElLmDiQpDVEkupeFybZYIQyi7oyrnEjSZIkSZKkoew4kqQ1z8bAPsChUxyHJElaxUzf78SpDkHSJFp06A5THYIkaQ3hiANJWrNcCVwB7Jfk3lMdjCRJkiRJklY/Jg4kac1yHXAQMA04cKIrT7JlkhOSXJzkxiR/S/KzJBPeliRJkiRJkqaGiQNJWvN8CrgA2DPJwyeq0iTPBeYBzwROBj4CHAfcCOw1Ue1IkiRJkiRparnGgSStYarq5iT7Af8DfBB48QRV/XpawnlWVZ3bf8BpkSRJkiRJktYcJg4kaQ1UVUcn+SnwoiTPrKrTJ7D664e0d9lYTkwyf4RDj1qhiCRJkiRJkjRhnKpIktZcb++2H56g+r7Rbc9K8tkkuyR58ATVLUmSJEmSpFWEiQNJWkNV1U+Bo4GnJNllAuo7FngBcA6wB3AkcFGSXyR59hjrmDnsBfxmReOTJEmSJEnSxDBxIElrtv2Bm4EPJFl/RSurqhOrahvgnsC2wMeAxwD/m+RfVrR+SZIkSZIkTT0TB5K0BquqPwCfBjYF3jyB9V5bVadU1duAQ4D1gedNVP2SJEmSJEmaOiYOJGnN9z5gMfAu4O7LW0mSZyVZd8ih+3Xb65a3bkmSJEmSJK06hnUASZLWIFV1RZJDgA+tYFWHAQ9KcgawCLgJmAlsA1xIW/NAkiRJkiRJqzkTB5K0djgM2AuYvgJ1HAK8CHgSsB1wG/Dnbv+cqrpyBWOUJEmTbNGhO0x1CJIkSVoNmDiQpDVEVWUZx26krXOwIvV/C/jWitQhSZIkSZKkVZ9rHEiSJEmSJEmSpCVMHEiSJEmSJEmSpCWcqkiS1lJJNgT2GWPxuVW1aNKCkSRJkiRJ0irDxIEkrb02BA4cY9l5wKLJCkSSJEmSJEmrDhMHkrSW6kYQjLigsiRJkiRJktZOrnEgSZIkSZIkSZKWMHEgSZIkSZIkSZKWMHEgSZIkSZIkSZKWMHEgSZIkSZIkSZKWMHEgabWUZG6SSjJ9qmOZaElmddc2e6pjkSRJkiRJ0tpn3akOQNKqI0mN85Tdq2ruGOteBFBV08fZxoRKcjdgd+AFwObARsDNwF+A+cDxwNFVdfOUBSlJkjRJpu934lSHIGmSLDp0h6kOQZK0BjFxIKnfe4fs2weYBnwcWDxwbOHkhjOxkjwdOAp4MHApcApwEW301cbA1sDLgbcBW0xRmJIkSZIkSdKUMnEgaYmqmj24L8lutMTBnKpatJJDmjBJHgOcBNwNeBfw4aq6aaDMOsCLgP9Y+RFKkiRJkiRJqwbXOJC03JK8LMlpSa5Kcn2SXybZP8md+8rM6qZA2gTYpJu7v/ea21du5yRfT/K7JNd2r/lJ3pJkIv5WfQL4f8ChVXXIYNIAoKpuraqjgWcPXOeSNQeSPDnJiUmu6F9jIcnWST6f5PwkV3f347wkBybZYIT7d78kX0pyaVd+YZLXjnQBSTbr2vhDV/6K7p5/Nsm9VuTmLEuS3bpr3a27znlJ/tld54lJHj1ZbUuSJEmSJGnlc8SBpOWS5BBgf+Ay4AjgGuB5wCHA9kme03XOL6JNgbRPd+qcvmoW9v37UOA24CzgEtooh21oUyRtAbx6BWJ9KG0aouuBD41WvqpuGeHQ02jXfDrwZeDeQC8BsS/wKOBM4ERgA+AZwGxgVpLtqurWvpju3ZXdrKvvdOABwGeBHwy5hgcAPwfuAXwXOKZrY1PavfkkcPlo17aCXgDsBHyvi/NfgOcDWyT5l6q6bJLblyRJkiRJ0kpg4kDSuCXpdaBfBDy5qv7W7d8f+Datg/k/gUO66Y1md1MeDZ0OqbNDVV0w0M6dgK8Ar0nyyao6azlDfka3nV9VVy1nHQDPAf69qj435NhewJ+q6g4LTCc5CDgAeCltfYWeQ2hJgzlV9da+8p8Efjqk/pfSFnLep6o+PtDG3WhJl8m2M7B9VZ3c1/YHgP2APRhDUkaSJEmSJEmrPqcqkrQ89ui2B/eSBrDkSf230zqxXzeeCgeTBt2+22gjDgC2X75QAbh/t71k2MEk+3TTEPW/pg8punCEpAFV9cfBpEHnY912SfxJ1gNeCfyTNiKhv55fAN9YxrVcP6Tta6tqqf2T4Mj+pEHn8932yWOpoJt+aqkXbbSGJEmSJEmSVgGOOJC0PGZ021MGD1TV75JcDGyaZNpYn/Dv5uh/B23qm81oixj3e9AKxDuafWhrMPSbR5tmqd/ZI1XQPfW/N21x5UfQ1lNIX5H++B8F3BX4yQj3Zx4wuNbB8bRRCp9Ksj3wfeAM4PwREhbDYtwH2HBg93FVtXAs5wO/GLLvom57zzHWIUmSJEmSpFWciQNJy2Nat/3rCMf/CmxM66QeNXGQZEPa/P2b0jrnvwpcAdzS1bE3cOcRTh+L3qiIBw47WFXT+2L5Om00wLLquYNuBMEptKfuz6NNSfQP4OauyIHcMf7e/bt0rO1U1YVJnkwbofBc4MXdoYuSfLiqDhuhrn77sHSCZBF3XGtiWRYPieuWJADrjKWCqpo5bH836mDGsGOSJEmSJElauUwcSFoevWTA/YGlphiiLfLbX240r6MlDd47uAZCt57C3ssRY78zuu2Tktyjqq5eznpGerJ/J1rSYG5V7d5/oFvU+MCB8r37cr8R6rv/sJ1V9WtglyTrApsD2wFvBj6e5Nqq+tIyg+9LkEiSJEmSJEkjcY0DScvjnG47a/BAkocBD6YtFLy479CtjPxU+sO67TFDjm21fCHerls/YR5wF9p0SBOtF/+xQ44Ni/83wHXAE5JMG3J81rIaq6pbqmp+VX0Q2LXbvfPYQpUkSZIkSZKWzcSBpOXx5W57QJL79HYmWQf4MO1vy+DT75cD90lylyH1Leq2s/p3JnkisP8ExAvtyfxrgHcm2bebXugOktwJuMdy1L2o284aqG8z4IODhavqZtoCyP+PgcWRkzyJIVMlJZk5QpKhN2rhunHGLEmSJEmSJA3lVEWSxq2qzkzyIeC/gPOSHA1cCzwPeCxwOvDfA6edDGwBnJTkNOBG4NyqOoG2psE7gDlJtgZ+DzwceAHtKf5dJiDm87pFhf8HOBTYJ8mPgT/TRkLcH9iatojxn7h90d+xOAH4A/C2JI+jjcjYuIv/xO7fg94JbNvF8STaPXsA7Vq/C7xwoPyrgT2TnE6bHupK4KHAjrR7OWcc8UqSJEmSJEkjMnEgablU1b5JzgHeBLwGWI/WoX0A8JGqumnglINpCx3vCDyD1ll/OHBCVf0lyZa0Dv1nAtvTpvPZC/gRE5A46GI+M8kjgD26OLYBNqItYvxX2loI3waOHRL/suq9Nsk2XfyzgC2BPwIHAR8dFn9VXZbkGcAhXSxPAn4LvJE2gmEwcfBN2gLLTwdm0qZdugQ4kna/zxtrvJIkae216NAdpjoESZIkrQZSNdJan5IkrRxJ5s+YMWPG/PnzpzoUSZIkSZKkNcLMmTNZsGDBgqqaOd5zXeNAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAkiRJkiRJkiQtYeJAklZzSap7XZhkgxHKLOrKrLuy45MkSZIkSdLqxQ4kSVpzbAzsAxw6xXFIkqRV1PT9TpzqECRNkkWH7jDVIUiS1iCOOJCkNcOVwBXAfknuPdXBSJIkSZIkafVl4kCS1gzXAQcB04ADJ7rybpqjeUkemORrSf6e5Pok85O8YqLbkyRJkiRJ0tQxcSBJa45PARcAeyZ5+CTUf0/gTOBxwFeArwKbAd9I8o5JaE+SJEmSJElTwMSBJK0hqupmYD9gPeCDk9DE44GzgRlVtW9V7QnMoE2T9P4km01Cm5IkSZIkSVrJTBxI0hqkqo4Gfgq8KMkzJ7j6W4F9q+q2vvb+BBxGS1a8erQKuqmNlnoBj5rgWCVJkiRJkrScTBxI0prn7d32wxNc75+7RMGged32iRPcniRJkiRJkqbAulMdgCRpYlXVT5McDbw0yS5VddQEVX3pCPv/1m2njSG2mcP2d6MOZixnXJIkSZIkSZpAjjiQpDXT/sDNwAeSrD9Bdd5vhP3377ZXTVA7kiRJkiRJmkImDiRpDVRVfwA+DWwKvHmCqt04yfQh+2d123MmqB1JkiRJkiRNIRMHkrTmeh+wGHgXcPcJqG8d4INJlvzfkWRT4C3ALcDXJ6ANSZIkSZIkTTHXOJCkNVRVXZHkEOBDE1Tl/wFPAeYn+QGwIfCybvtfVXXBBLUjSZIkSZKkKWTiQJLWbIcBewHTJ6CuK4Hn0RIRuwP3AM4HPlxVR0xA/ZIkaZItOnSHqQ5BkiRJqwETB5K0mquqLOPYjbR1Diaqrb8Ar5qo+iRJkiRJkrTqcY0DSZIkSZIkSZK0hIkDSZIkSZIkSZK0hFMVSdJaJsmGwD5jLD63qhZNWjCSJEmSJEla5Zg4kKS1z4bAgWMsOw9YtKx1FCRJkiRJkrRmMXEgSWuZbgSBiQBJkiRJkiQN5RoHkiRJkiRJkiRpCRMHkiRJkiRJkiRpCRMHkiRJkiRJkiRpCRMHklZbSeYlqamOY6IlWZRk0VTHIUmSJEmSpLWTiQNJI0oyPUklmTtB9VWSeRNR18q0piYoBiWZ1X1Gs6c6FkmSJEmSJE2ddac6AEmSJEnSyjF9vxOnOgRJy2nRoTtMdQiSpLWIIw4kSZIkSZIkSdISJg4kDdVNV/On7u1ruylseq/dujJ3SvLvSX6e5Jok13b/fmOSO/XVtVvfVD9bDdQ1e6DcMUn+mOT6JFcnOSPJqybpGl+Y5OQkf01yY5K/JDk1yV7d8eld3Ft17/vjntdXz4hTMCWZ2x2fPrA/Sd6U5FdJbkhySZJPJpk2Ssy7JvlxksXdeb9OckCSOw8pW900S/dO8vm+6/xVkt0H4wR+3L09cOBaZ3Vl1k/yliQLklyZ5LpuPYbvJNluWXFLkiRJkiRp9eFURZJGMg/YENgbOBc4ru/Ywm77NeAVwEXAF4ECXgR8Gngm8Mq+8u8FDgQuBOYOtNPzGeBXwGnAX4F7Ac8HvpbkkVX17hW9qJ4kbwA+B/wNOAG4DLgv8Hhg9+4aFndx7wZs0v27Z9EKhjAHeAvtOj8P3AzsBDwFWB+4aUjMX+5iuxg4povvqcBBwLZJnl1VtwyctiFwRlff0cCdgX8Fvpzktqo6vCt3XLd9LXAqd/xcFnXbucCuwHnAV4HrgQfSPuvnAj8a89VLkiRJkiRplWXiQNJQVTUvySJa4mBhVc3uP55kV1rS4BzgWVV1Tbf/AFrH8yuSnFhVR1TVQmBhkgOBRYN19XlsVV0w0M76wPeA/ZJ8tqoumaBL3JPWmb55Vf19oM17A1TVYmB298T9JsuIe1ySPJ2WNLgAeHJVXdHtfxftqf8H0BIs/efsRksafBt4ZVVd33dsNi0p8x/Axwea2xz4ErBnVd3alZ8D/B+wL3B4d63HJVlMSxzMG/J5TwNeDswHntKrq+/4vcZ7HyRJkiRJkrRqcqoiSctrj267Xy9pAFBV19I6pAFeN54KB5MG3b6bgE/REp3bLl+oI7qF9qT/YJuXTXA7g3rTBL2/lzTo2r0B2H+Ec/amxbtHf9KgcxBwObeP8Oh3HfC2/o7+qjqfNgrh0UnuPsaYCwhwI3DbUgerLh9LJUnmD3sBjxpjHJIkSZIkSZpkjjiQtLxm0DqQ5w05dipwK/DE8VSYZGNa0mFbYGPgLgNFHjTuKEf2DeAjwPlJjqTFfEZV/WMC2xjJjG576pBjp9Pu3RJJ7kobOXAZsE+SYXXeCDx6yP7fV9XVQ/Zf1G3vCVwz5PgdVNXVSU4AdqSNHjkG+AlwVlVdN9r5kiRJkiRJWn2YOJC0vKYBV3QjAu6gqm5J0lszYEySbAacTevI/gnwA+AqWif6dNoUOkstALy8quqjXYx70aYN2geoJKcC76iqX0xUW0P0FkC+dEhcvXvX7560p/3vQ5uSaDwWj7C/txbCOuOoaxdaYucV3L7eww1Jjgb+s6qWup5BVTVz2P5u1MGMYcckSZIkSZK0cjlVkaTldRWwUZL1Bg8kWRe4NzDsSfeRvI22GPK/VdWsqnpLVb27m2v/+xMR8KCq+mpVPbVrdwfaWgDPAr6f5D7jqYqRE7EbDtl3Vbe93+CBvns3rPw5VZVlvcYR87hV1fVVNbuqHkEbEfIq2giJV9EWXpYkSZIkSdIawMSBpGXpTZkz7Kn0c2h/Q5415NizunMWDOy/bYS6AB7WbY8ZcmyrZYe5YqpqcVV9t6peD8wFNuKO19VbVHik2K8EHjK4syv/hCHle/dl2HU9k4F71K0h8SvgMUk2GvFCVtyyPu87qKqLquobwPbAH4BnukCyJEmSJEnSmsHEgaRluZL2NP3GQ459udt+oJuDH1gyH/+h3dsvDZxzOUM62DuLuu2s/p1JtmeciyyPRZKtM3yxgN70Sv3z9vcW/h12H6BNsbRxkucM7D8A2GRI+bnd9l39iYAkGwAfGKGNjwLrA19OsuHgwST3TLKiU/2MeJ1J7pPkcUPOuRtwd9rUR0tNWyVJkiRJkqTVj2scSBpRVV2T5CxgyyTfAH5Heyr9+Ko6IslOwMuAXyU5jpZk2BnYFDiqeyK938nAy7tFdhcANwOnVdVpwKeB3YH/6ebM/wvwWOC5wLdo8+tPpG8D1yT5GS1pEWBLYAtgPvCjgbj/FTg2yXeB64ELq+pr3fEP0568/06So4ArgKfT7sM8BpIhVXVGkk8AbwbO6673ZmAnWrLmr4PBVtWXk8ykrclwQZLvA3+mjY7YlDZC4ivAvy/3HYHfApfQPqObgQtpn+nXaOssnJPkl8D/0RZXvgfwAuD+wGFV9c8VaFuSJEmSJEmrCBMHkkbzauBjtA78XWkd7BfTOo93BU4F9gD27Mr/GvgI8Jkhde1N64jeFng+bdTTe2nJg/9LsjVwMG29gXWBc4EX0xb4nejEwX60zv4ZXSw30DrK9wU+U1U395X9Im3kwMuB/+piO5XWoU5VnZxkZ+A9XZlrgR92Mb+X4famJWL+g3bvLqclM95Ju+6lVNV/JPkeLTmwHW39hCtoCYT/Br4+rjuwdP23JnkRbcTIvwL/j/Z5nw4spC3MPAvYmrYOwxW0ZMN+wJEr0rYkSVo5Fh26w1SHIEmSpNVAqmqqY5AkreWSzJ8xY8aM+fPnT3UokiRJkiRJa4SZM2eyYMGCBVU1c7znusaBJEmSJEmSJElawsSBJEmSJEmSJElawjUOJK0RkkwHdhtj8TlVtXjSgpEkSZIkSZJWYyYOJK0pptMW7x2LubQFlyVJkiRJkiQNMHEgaY1QVfOATHUckiRJkiRJ0urONQ4kSZIkSZIkSdISJg4kSZIkSZIkSdISJg4kSZIkSZIkSdISJg4kSZIkSZIkSdISK5w4SFLd68IkG4xQZlFXZt2+fbO6ffOWUff0rsyigf279bV72ijn39Yru4zY+183dvEenuTRQ86ZNcJ5d3gNnDN3SJnrkpyf5CNJ7jPSNSxLknWT/FuSHyT5e5Kbuu0Pk7yu/36PIZ7+17xxxPDsJN9O8peu/SuT/C7J/yR5S5J05Ua9ZwOv3brzet+d6cuIYV5XZtbA/mGf7T+SLEjyxSTPS7LOct6jSjJ3hPbG/FtY3vvSnbtFkm907d2Y5OokFyQ5Icl/Jbnb6J/gUvF9KsmtSe47hrIPTPKx7nt8XZLrk/w5yalJ3p/koSt6TwfOf1dfuUeOcF/H+prdd+4jk3whyR+S3JDk2iR/SvtdvSfJ/cZ473Ybrd0RYp4+lv0jtDn0uz9C2RX5To/7NyRJkiRJkqTV19CO5eW0MbAPcOgE1jmaW4Atkzyyqn475PjrgHTllnWt7+379zTgycBrgJckeWZVLRxyzoXA3HHG+x2gV9f9gOcDb+vamVlVl4+1oiQPBo4HnghcCpwI/BW4P/A8YDtgryQvrKqLxxBPv0VjjOGdwPtp9/ck4LfArcBDga2AlwKf7o6/d0gV+9Du98eBxQPHhsW1vHptrwNsCDwGeDXwb8Avkryyqn43wrkj3SOWsX88v4Xlui9JXgUcTvt+nwJ8G7ge2AR4JvAC4FjgD2OIga7OADsDp1fV30cp+1jgVGAj4JddLFcA96X9ft4J/Am4YMjp476nXWyvA4p2za8H/rOvyBzaZ9tvN9r9OJylv9Pzunq3of12NgB+SvseXw08EHg68GzgTNpvbKzOBY4bR/mVbXm+0yvyG5IkSauQ6fudONUhSBrBokN3mOoQJElaYqISB1fSOvT2S/LFqrpsguodzf/SOjpfB7yj/0D3FOzuwM9pnYAPGqmSqpo9uC/JJ4A30Tpxdxty2qJh543iuKqa29fGBsDPgM27toZ1Ii8lyV2B7wGPpXWK7lVV1w0c/zTwWuC7SZ7af3ykeMYjySbA+2idrM+sql8OHL8TrdP1VhjxHu9G6yCfU1WLlieOsRih7fsBnwD+FfhRkieN0Fk+3ns0rt/C8tyX7vP9VNfOc6rq5CFlng6M93f4ZNpv5b/HUHYOLWkwu6qW+t4m2QxYf4Rzl+d79xxgOi1Z91zgtUneWVU3AVTVnCExzKIlDuZW1bwR6v0cLWmwW1UdPqSOx9M+0/FYuBx/G1amcd//FfwNSZIkSZIkaTUzUWscXAccROvsPHCC6hyLX9GeEn5tkvUGju1A6wT9wnLW/YNuu1zTCI1FVd0AfKN7u8U4Tn0bLWlwJrDHYFKge79Hd/xxwFtXPNqlPIX29PGPB5MGXQy3VdX3q2qpKaJWBVV1KfBy2pPnD6E9IT8RVsZv4bHAPYDzhiUNAKrqzKpaPM56X9RtjxtD2ad324+P0P4fq+o342x/WV7fbb9A+83cm9vjXS7ddEwPA64aljQAqKr/q6qLVqSdNdUk/oYkSZIkSZI0xSZyceRP0aYl2TPJwyew3tF8gda5v9PA/tcD1wDfXM56t+u2v1jO88fr5nGU7XWiHlxVtw0r0O1/f/f2DSsS2Ah60ypttrrOcd7do4O7t7t20+FMhMn+LfTu/QOzHOsYLMOLgHPGOPqjF8MjJrD9obon218I/K6qzuT2KcJW9Ht9FW0arbsnecAK1rVWmsTfkCRJkiRJkqbQhK1xUFU3J9kP+B/gg8CLJ6ruUXyLNm3K64GjAZI8iDbP/1eq6prR+rL6F0qlPcm9BfAM2lRIHx7htOkD5/X7TVUdOVrgSe5Cmycc4PTRynfnPIQ2h/4tdPO0L8OPu3IbJ3nwkLUOdh5hAdY5Y3ha/We0dR4eB/y4W1T1LNq13zrKuauS02n36L60qXD+NHB8pHsEcOSwp+pXwm/hj7QpuLYAzkjyBdrokl/1pu4ZrySPoSUB3j3GU44C3g4cn+QztO/awqq6egznjvee7g6sR5cwqKrzkswHtk7ysKoa8zoO/arqxiTfAV4CnN5dx0+AX44wtddYPWGEvw3HjbBeyso27u/0KEb7DUmSJEmSJGk1M5GLI1NVRyf5KfCiblHhMXWGr2Cb1yY5gvZ09/Tuaek9aNPojHWaomFTypz//9m77yjLqjLv498f0TQCoqiI0jrqYHgN3YqiKI0JAQVMYxiVIBgYAwYUI41jQEdHzAmxDaAYRpTB7Ng4oBi6AQMqBgoRUEQkZ3jeP/ap4nK5t+pWdVVXh+9nrbtO3XP23uc5t251r3Wes/cDfK6qLhnSZ+sh/aAVHx2UOOi9YbcFrYDtnYEfAB8eMdbxJ6P/XlVXTNawqq5I8ndaIeYtgf7Ewe7cdKYGtBu0F04x9mVJdqPVWHhE9wK4IslPaTeWP1FVV002znzrbh6Pf0a346Y3PYd9RtAKyQ68yTqXfwtVVUmeSvvsFwMf6A5dk+RkWlHkD494E3/c+LI/Xxmx/etpSba9gSXdq5KcTisw/L6q+uOQviN/pj1Fka8HPt3TbimwiJYwfM2IMQ+yH63Y8pO4obbD9Ul+CRwLvL9bkmc67t+9+o0xu0W/Z2pG3+lhRvgbupEu6TPINtM5ryRJkiRJkubObC5VNO6V3XbYk/pz4eO0m3/P64ryPg/4eVX9ZJTOVZXxF3Ar2vr9fwWOTPLWId2O7+3X99pjSJ/dacmGg4EX0ZIG3wEes5JPOM/U3kPiHxulc7f++wNpT76/mpYsOQ94JG25nh8n2Wyugp9F41NSBtVjGPYZpaqOmWLcOftbqKo/VdWOwL2BlwGfoc1E2BY4FPhFkrtOY8gnAb+rql+NeP6rqur5wFa04uEfBn5CqxnwMuCXSZ4wpPt0PtNHAf8MfKeqzu7ZfxRwNbDXgPomI6uqf1TVU4C7AS8EDgd+QZtJ83rgtCTTqT8C8Kkh17Z0pnHOspX5Tg8z2d+QJEmSJEmS1jCznjioqh/Rlgx6SJKnT9J0fG3+yWIYPzZwHf+ec64AVtCeft6ZNhtgRkWRq+qyLuHwZOAy4NXd8kCzYe8uObEBbVmYo4HHMvpsA4C/dNvNu6WOhuqOb969PWeasY6sqn5WVf9ZVc+sqgW0xMtvaE9dr2yB4Fn7ngyS5GbAbbq3f5tu/8lM429hZc7x66p6X1U9t6q2Ae5FKxh+F+A9o4yRZGtgIaPPNug9/1+r6lNVtX9VPZQ2k+Zw4ObAEUk2mu6YfcbrGCztO+8FtBkBWzD86fmRVdVYVX20qvarqgfQPr9jad+NmRZYXydM92+oqhYNejHNmQ6SJEmSJEmaO3Mx4wDgtbRiv2+f5MbhRd128yHHAW7bbS8c4ZwfA+4EfAS4AvjsCH2G6tb4/y3tJv/ClRlrwNjXVdXvgGfR6gI8r1v2Z5S+fwLO6uJaPEXzxV27Pw2obzBnusTLi7u3j1rJ4Wb7e9Jve9pn9NdRZ1pM0yh/C7OmW59+vG7GqJ/9+DJF/z0L578AeAHwJ9qyNfed6VhJbgfs0b39XJLqfdFqE8AcFP/u/l6eQZvVcP8kt5miy7psrv+GJEmSJEmStIrNSeKgK1b6IeCuwEuGNPstcBVwzyTDbgpv121PHeG0R9FmCGwFfHGE4r6jGF9mZ64+p+tpy7oAvCPJ+iN2Pbzbvi5DKj93Sza9rnv7sZlHOWPjtSEmr0w9tfHf/XaDDnbfnXvQvku/nc7A3Wf0+u7tUTMNcDIj/i3Mtul+9k+izUgZaWmvqXTf68umGcMgewIbAcuBTwx5/Q14zDSXZRrVVbTEAaz893ittCr+hiRJkiRJkrTqzdWMA4A3054Afz2tbsCNVNWVtDXxNwD+s/8GeJKtgAO7t0unOllXxPjxtJugb1iJuMfPvwftZu81wA9XdrxhqurHwP/QCoM+d8Ru/wX8mvak7+H9SxZ17z/eHf8lIy5ZMx1Jtk2y16Dlkro158cL1v5gJU+1tNse2H0nes+zHq2g7Qa0QtYjF2JOsgXt+7eY9nT821YyzslM+rcwXUnumuSlSTYZcCzccCN3ys++e6r/4cAxVTXy+vRJDu4p9N1/7Km07/M/aN+/mdqv2+5fVfsOegEfpd3U33e6gye5ZZI3Jrn9kCYH0H5fp1XV32dyAWuzVfw3JEmSJEmSpFVog7kauKouSPI24J2TNHslrbDu3sB2Sb4DXEyrUbA78E/AO6rq+BHPecJMYk2ypOftLWkFZ3fu3r+uqv46oNuCvn79DpvGrIc3AbsCByc5sqqunqxxVV2a5PHA14B9gF2SfJ1W/+D2wC7AHYFTgCfOUeHlLYFPAh9IcgJwGnBld97HA3cAfk+7aT5jVbUsyTtpxZdPS/JV4Ezg1rT6ENt0537lsDF6fk/rAZsC96ElVTaiPWX/b1V1/pDuewy7QQ6MjVLwdsS/henYBHgvLeF2Iu3m/CW09f4fRSv0ex6TfCY9dgfWZ/r1DV4OLElyMvAz2pP/m9CW9doOuBZ44ZBkzpSfaZLFtDogv5iiyPknaImSvZMcXFXXTuMaNqR9Pw9O8hPa38s/aOv1P5xWIPkyWtHk+fCuJJcOOfambtmycQcl2WtI2/d1dWDGTfs7vZJ/Q5IkSZIkSVrDzFnioPM+YH9gwaCDVfX3JA8BXkqbKbAXrajq34HjgQ9X1dfnOEa4cQHf62g3QY8FPlBV3xnSZ2smL/y7lBHX3K+qk5N8hVaQ+QXA+0fo86ckD6Z9Zk8HdqPd0LsQ+HkX29KqumaUGGbge7QaDY8DFgEP6s5/Ma3I6Xtpn9+wG58jq6rXJPkB7QbuY2n1Dq6gLU30euC9VXXZJEOM/56upt1gPxP4NPBl4Nvd0jrD7M7w4rvHM8JsmM6kfwvT9Gva38vjgIfSfv+3AS6nJWveSvtMRin2/CTazfJl04zhCbTk2g60RNHtacmCP9OW0npfVf1iSN9RPtPx2QaHD2kHtKLGSb5L+148keklQC6mXcNjaTfB96DVZbgSOIP2HT5sHtftf8okxw6jPeU/bqdJ2h5DKx4/bibf6ZX5G5IkSauRsUN3ne8QJEmStAbINFYnkbQWSfJPtCTZ0VW153zHo3VbkuULFy5cuHz58vkORZIkSZIkaa2waNEiVqxYsaKqFk2371zWOJC0etsF2JjpL1MkSZIkSZIkaS1m4kBaR1XV0VWVqjpmvmORJEmSJEmStPowcSBJkiRJkiRJkiaYOJAkSZIkSZIkSRNMHEiSJEmSJEmSpAkmDiRJkiRJkiRJ0gQTB5IkSZIkSZIkaYKJA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQNIqleSlSU5LckWSSnLAfMc0XUmWdrEvmO9YJEmSJEmSpNm2wXwHIGndkeQZwHuBk4HDgKuAk+YzJkmSpHXJgoOOm+8QJPUYO3TX+Q5BkqSBTBxIWpWeML6tqnPmNRJJkiRJkiRJA7lUkaRVaUsAkwaSJEmSJEnS6svEgaQ5l2RJkgJ27N7X+KunzTZd7YCzklyd5K9JjkryLwPGG68xcNckL+5qJlyZZCzJ65Kka/e0JD9JclmS85J8IMnNB4y3R5LPJjm9a3tZkuVdPYZp/TuZ5CFJvpTkL911nJXko0m2nPYHd9PrXZDkBUl+0V3vX5N8LMkmA/pUkmVTjdezb0G3b2mSf+6u4e9JLkny7ST37drdrjvnuV0MP02y40yvTZIkSZIkSasflyqStCos67Z7AVsDh/QeTPJ44L+BDYFjgd8DWwFPBnZNsmNVrRgw7ruAxV2fbwO7AW8FNkpyAXAocAzwf8BjgX8H1gde1DfOocD1wI+Bs4FNgEfR6jE8GHjOKBeZZB/gY7TaDV8DzgLuAewLPDHJQ6vqT6OMNcQ7gZ244Xp3BPYD7t7FOxsW0D6HXwNLu/dPApYl2Q74JnAxcDRwG+AZwDeS3HMlr02SJEmSJEmrCRMHkuZcVS2j3XheDGxdVUvGjyXZDPgccDnwyKo6refYfWnFkw8HFg4YehFwv6o6u2u/hJZ0OLAbb1FV/bo7tjGtKPM+SQ6uqvN6xtm1qv7QO3A30+CTwHOTfKCqfjzZNSa5J/ARYAzYYTym7tijaTf630u7CT9TDwX+3/gN+iQbAP8L7Jhk26r6yUqMPW4H4A1V9dbxHUneCLyZllD4ArB/VV3fHfsO8Gng5d1rUkmWDzm0zUrGLUmSJEmSpFniUkWS5ttzgU2Bg3uTBgBV9Uvg48ADk9x7QN//6L1BX1UX0p70vwXw4fGkQXfsKtpT8hsB9+o7z42SBt2+62k3+qE95T+VF9FmTLysN6ZurO91cT0xyT+NMNYwb+59qr+qrqUlNwC2XYlxe43RZmD0+lS33Rg4cDxp0DkKuBZ4wCydX5IkSZIkSfPMGQeS5tt23fb+3YyBfvfstvcCTus79rMB7ccLLw96sn38hv5WvTuTbE6bpbALcDfgln397jRgrH7j17FDkgcPOL4FbZmkew6JbRSDrvesbrvZDMfsd0pVXde3b/wzPb2qLuk9UFXXJfkrfZ/pMFW1aND+bibCoFklkiRJkiRJWsVMHEiab5t32/2maHerAfsuGrDv2hGObTi+I8mmwE+BuwI/oS27c0HXdlPgZbQn7acyfh0HTtFu0HWM6sIB+8avaf2VGLfXTT63qrq2qzc96DMdj2HDIcckSZIkSZK0hjFxIGm+jd+Mvn9V/Xwezr8vLWlwSG/tBYCuGPDLRhxn/Do2qaqLZy+8GSuG/xu/6SqMQ5IkSZIkSWsYaxxImm8nddtHzNP5795tvzzg2A7TGGe+r6PfP4A79+9Msj7WI5AkSZIkSdIkTBxImm+fpC3Bc3CSmxT4TbJeksVzeP6xbnujcyR5IPDaaYzzAeAa4D1J7tl/MMlGSVZlUuEnwF2SPK5v/xuArVdhHJIkSZIkSVrDuFSRpHlVVX9P8lTgK8BJSb4H/Iq21M6daUWHNwduNkchfJpWl+CwJDsCvwPuATwB+G/g6aMMUlW/SbIPcATwqyTfBE6nrf1/F9pMhL8B28z6FQz2LmAn4KtJjqbVbXgYbVmmZfQlSiRJ0rph7NBd5zsESZIkrQGccSBp3lXV94D7AR8CFgAvBJ4H3Bf4X+AZc3juc2g39Y8DtgdeTHsif3/goGmO9VlgEXAk7XpeDDybthzSl7oxV4nuM92DloR5BrAnbXbFtsCZqyoOSZIkSZIkrXlSVfMdgyRpHZdk+cKFCxcuX758vkORJEmSJElaKyxatIgVK1asqKpF0+3rjANJkiRJkiRJkjTBxIEkSZIkSZIkSZpgcWRJWsWS7EWr5TCVU6rqmDkNRpIkSZIkSepj4kCSVr29gB1GaPcp4Jg5jUSSJEmSJEnqY+JAklaxqlo83zFIkiRJkiRJw1jjQJIkSZIkSZIkTTBxIEmSJEmSJEmSJpg4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCRZHljpJXg+8pXu7TVX9tufYY4FvAz+tqm2nGOdZwJHA16pq925fjRDCjlW1rGu/F/DJvuNXA38BTgDeWVWnThHHd4DHAH8GFlTVdVO0vyfwQmAxsAD4J+AS4HfA/wGfq6rlfX2WAAdPcV3HT6cYcJKNgOcATwYWArehXfsfgGXAEVX18wExHFJVS0Y9T9f334DPdm93qqpvT9J2U+AVwG7A3YENgfOBs4ATgc9W1cl9ff4FeBWwI7AVcB1wHu0zPQH4aFX9dcRYtwQOBHai/X4C/A04oxvriKr6Q0/7pcCewN5VtbTbt4Spf18Tqio9403rOyxJklZPCw46br5DkNZZY4fuOt8hSJI0MhMHEpAkwL5A0W7I7ke74Tvuu7QbtA9O8v+q6heTDLdft/3YgGOHTNJvbMC+U4Fjup9vDTwceBbwlCSPrqoTBw2U5G7Ao2nXsxWwM/A/Q9oGeFP3Wg9YARwNXEBLHtwPeAnwyiQvrqoPDhjmeNpN/VGva6AueXEMcC/aTfnvAH8CNgLuTUtsvDTJHlX1tVHHncTzueF3/nxacmhQXFvSkgMLgD/SEkPnA5sBi4ADgCuAk3v6PAo4DrgZ8CPgm8DFwJbAw4DHAj8EpkwcJLkv7TO+DfAL4FO0388WwLbA62jfzz8MG6OzbKpzAf9K+/x/NeT4dL/DkiRJkiRJWsOYOJCax9FuCi8FHg/smeR1VXU1QFVVksOBt9ISAy8dNEiSuwM70J5C/0b/8ek+EQ+c0t8nyUeAF9BmR+w4pN9+tJvhhwIH0W6KD0wc0BIGS7qYnzkoGZFkC9rN8U2GjLFsBtfWf47bA9+jJToOA15XVVcMiONg2g37ldLNBngkLSm0GbBbktsPmQHwZtr34whg36q60dP3Se4I3LGvz0dpSYO9qupTA85/P+AfI4Z7GC1psKSqbnLjvksUbTTVIN1sgGXDjifZnfZ9OB944pAxlowQryRJkiRJktZg1jiQmvFZAh+nPU1+W+BJfW2OAK4Fnp3kZkPG2Zd2w/4TVXX9XAQKfKLbPnjQwSQbAHvRnm5/M7Ac2CXJnQa0vRvwBtpSQDsPm8FQVedV1euAd6509MO9hZY0+FxVvbw/adATx78Dn5+F843/zj9JSxhtSPvcBnlYt31/f9Kgi+vcqlox/r5LcNwduGhQ0qDr8/OqOmvEWMfP/94hY/2xqn4z4lgDdYmMz9K+40+pqjNWZjxJkiRJkiStuUwcaJ3XPem+G3B6Vf2QdhMZ2lP6E6rqL7Sn9jcDnjJgnA1oa8pfR0syzLVrhuzfDbgDcHR3830psD6wz4C2e9NmHn2pqoYtTTOhqq6dWaiTS3JzWl0DmHwpnPE4rlrJ821E+11dBHwFOIqWPNm3W7qp39+77T1HPMVFtBvwt+pmI6ys6Z5/WrpEx7HArYD9q+oHc3EeSZIkSZIkrRlcqkhqN883pEsYVNUvkywHdkxy96r6fU/bjwF70J5WP7JvnCfSbtgfN+xJ8q447SBXVtWhI8Y7ntA4YYrj48WVjwLeDTwvyVv7ZkI8vNv+74jnHmbxJNf2zao6aYr+DwI2Bs7uLUo9h55Mm1XysS65ckWSY2kJoUfRlkzqdTSwPXB4kgfRaiGcXFV/Z4CquirJV7vxTkjyYVqB6V9U1eUziPdo4JXA17qxvk9bxuriGYx1I0k2ptWVuAtwWFUdPkX7JUMOjfQd7v62Btlmqr6SJEmSJElaNUwcaJ3WUxT5euDTPYeW0ore7ge8pmf/t4AzgR2S3KOqftdzbN9uO6go8riDh+y/iFaPoN8Dem7U3hp4BO0m+zm0G8k3kmRrWtHd31bVjwCq6oKem+I7cePaC3fotmcPGGsBN12658KqOmxAnDt0r0EuBKZKHIw/lf/nKdrNlvFlipb27FtK+4yez00TBx+kFTV+OXBg9yLJGK1Gwgeq6tQB5whtyav/7PZdn+SXtKf73z+knsIgr6f9/vem1aNYAlSS02lFl99XVX8ccax+Hwe268Z51RRtYfrfYUmSJEmSJK1hXKpI67pHAf8MfKeqem+ejy9ds1eSDcd3dk/rj9cYGE8UkGQrWlHlc4Djhp2sqjLktemQLven3ag9mHbT+kHAn4Dtqur0Ae33pf1dL+3bP/5+P0a3oOfc468DhrQ9ZJJrO2wa55xzXQHrHelJrnS+CfwF2CPJbXv7VPM6WoLjGbRixT/o3u8LLE+yX1+ff1TVU4C7AS8EDgd+Afw/WiLgtCQD61T0q6qrqur5tBoQewEfBn5Cq6PwMuCXSZ4w6mcwLslBtCWifgM8o6quGyGW6X6H+/svGvTqYpAkAyDT6AAAtn5JREFUSZIkSdJqwMSB1nXjy/os7d1ZVRfQngrfAti9r88RtDoGe/YkFfah/T0dMcrN12n4VFWlG/sOtBvOdwaOTXKL3oZJxusYXA98pm+c8ZviT0xyh579f+m2W/afuKqWjd8Upi3lNJfO7bY3KeA8B8ZnAizt3dnVbzgS2IghRZKr6sKqOror3rwDsDmtqPP6wPu7ehn9fcaq6qNVtV9VPYC2JNCxwG1oT/uPrKr+WlWfqqr9q+qhtO/n4cDNgSO62g0jSbI78DbgAuCJVXXRdGKRJEmSJEnS2svEgdZZSW5Hq1cA8Lkk1fvihgLI/UWSzwa+DtyediN+PW64YT/p+vAz1T3x/teqehutXsH9aDesez2BlgBYD/hz37VcQ0s8bMCNiySf2G0fPRdxT8PPgKuArZLMSQFggC7Rs1f39u0Dfufjyz+NNDOjqi6rqjfS6k1szA01Iybr82farIWrgfsnuc00L6N3rAuAF9BmodwOuO8o/ZLcD/gsLQH21L46HpIkSZIkSVrHWeNA67I9aU+XLwdOGdJmN+AxSe5aVWf07P8YrRjyvsBlwNa0IsBnzl24E95Mi/3FSd7fE9f4ze7/AQatnb8+7ab585K8vaqK9tT9QcBTk7ylqn49p5EPUVVXJPkM7fN8E/Dsydon2biqrprBqXanPaX/W4YXl94RuGeSHarq+BHHvWQ8tBHbX0VLHGw0jT4DVdX1SS4b9fxJtqDNeLgV8KKq+v7KnF+SJEmSJElrHxMHWpeN32jfv6p+MqhBkv8A3kC7of36nkPfoBXy3QnYpNs3rWVnZqqqLknyDuBdtCK5eya5M63Gwj+Ap1XVlYP6duv7bw88hlbX4Q9J3tKN840kz6qqHw7ouumsX8hNvYF2Df+W5FzgTVV1RW+DrvbAm2jJnk/N4Bzjs0feVFVfGNQgyfNoM0eeDxzf7TsQ+HpV/WpA++1pyYZrgR91+24JvAL42JACyAfQbtyfVlV/nyroJAfTlq0aG3DsqcA2tN/9L6cYZ2PgGNpySR+sqo9MdW5JkiRJkiSte0wcaJ2UZDFwT+AXw5IGnU/QEgZ7Jzm4WwefqrouyRG0m9gPo9UK+NoI510yyeFjquqUUeIHPgS8Cnh2kkOBp9NmFHx2WNKgczgtcfB84DvdvjfTnlR/I3BikuW0wrsX0BIGC2iJBmgFgQdZPMm1XThKgeSq+muSR9NubL+KlhD5Dm0Zno2AewGLaUsC7TFgiD2SLBgy/LdpN/UfA5zfnWOYo2nFj5+S5CXdckD/BrwzyW+Ak2g1GW4J3IdWYDvAK6vqnG6MDWmf68FJfkKb0fIPWl2Dh9MKJF9GK5o8ipcDS5KcTFvW6W+0hNVCYDta0uKFI8zCeHfX/grgwim+jwCHVdWFvTtm8TssSZLmwdihu853CJIkSVoDmDjQump8tsGkNQmqaizJd4HH0pYm+krP4cNpT8mvB3xyPKkwhYMnOTbG8CWT+uO6IsnbgPfRCtwu6olpMl8E3gvsnmSLqjqvW7JoSZLP0W5k7wg8i3Zj/BLgD8CHgc9U1Yoh4+7QvQY5k3YjfpTrOj3JA4Dn0GpMPIpWgPgq2udzOPDxqvrFgO73716DXEi7yR/adVw9SQyXdp/FfrQlod4D7A3s2sWzmFYvIsDZwOeAD1dV79JHFwM7074329MSHbcDrgTOoP0ODhs0g2CIJ3Tj7UCblXF7WrLgz7TP5H1DPpN+4zUQbs6NZ9AMs5T22fWale+wJEmSJEmSVl9p9wwlSZo/SZYvXLhw4fLly+c7FEmSJEmSpLXCokWLWLFixYqqWjR16xtbby4CkiRJkiRJkiRJayYTB5IkSZIkSZIkaYKJA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQJIkSZIkSZIkTTBxIEmSJEmSJEmSJpg4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCSYOJM25JMuS1HzHsSolGUsy1rdvrySVZK/5iUqSJEmSJEma2gbzHYCklZdkAXAG8Kmq2msWxivg+KpavLJjae0z2983SZK06iw46Lj5DkFaq40duut8hyBJ0qxwxoEkSZIkSZIkSZpg4kCSJEmSJEmSJE0wcSCt4ZIsoS0bA7Bnt4Z+9a6ln2S9JC9M8tMklya5rPv5RUnW6xlrr55aBDv0jbWkr92Xk/wxyRVJLk5yYpJnz+F1PiTJl5L8JcnVSc5K8tEkWw5ou6yLeYMkr0vyuyRXdX3ekWSjAX2q63eHJIcnOTvJdb31CJL8a5IfJLmou+5fJHltko1X8trGutetkryni/OKJKck2aNrs0GS13fXcmWSPyR58SRj7pTk60nO7679D0n+M8mmk5z/ll2bP3V9fp/kNUnS03YJU3zfJEmSJEmStGazxoG05lsGbAq8DDgVOKbn2Cnd9jPAs4CzgMOBAp4EfAjYHvi3nvaHAAcDZwJL+84z7sPAr4AfAOcCmwO7AJ9J8i9V9caVvaheSfYBPgZcBXytu457APsCT0zy0Kr604CuRwGPAL4BXNzF+GpgC2DvAe1vA5wEXAr8N3A98NcuhrcBrwXO78a9FNgZeBuwU5LHVdXVK3GZGwLf6WL4KrAR8Ezgy0keB+wPPKS7lquApwHvT/K3qjq6d6AkBwNLgAuA/wHOA+4HvArYJcl2VXXxgPN/C9iyO8e1wB7AocDNaN8LGO37JkmSJEmSpDWYiQNpDVdVy5KM0W7knlJVS3qPJ3kmLWlwMvDIqrq02/8G4HjgWUmOq6qjquoU4JTuxvNY/1g97ltVf+g7z0a0G84HJflIVZ09G9eX5J7AR4AxYIfecZM8Gvg28F5aIqTfPwP3qaoLuvavp93sfm6S11bVX/ra/z9akmWfqrq25zzb0ZIGZwHbjvdL8lrgK8ATaDfl37YSl7olsAJYXFVXdeN/hpac+SLwB9rnfmF37L+A3wAHAROJgyQ70pIGPwJ2GW/fHdsL+CQtCfDyAec/FXhsVV3RtT8EOB14eZK3VdU1U33fppJk+ZBD20xnHEmSJEmSJM0dlyqS1n77dNuDxpMGAFV1GfCa7u2+0xmwP2nQ7bsa+CAtIfnomYU60ItoT8O/rD8ZUVXfo81AeGKSfxrQ9zXjSYOu/WXAkbR/+x40oP3VwKt6kwad8c/wLb3Jhq7dK2kzE6b1GQ5xwHjSoBv//2jLAm3WXcuFPcf+CJwI3DfJ+j1jvLTb7tfbvuuzlDYr4N8Y7KXjSYOu/Xm02Q+bAP8yoyuSJEmSJEnSGscZB9LabyHtxvayAceOB64DHjidAZPchZZ0eDRwF+DmfU3uNO0oh9uu2+6Q5MEDjm8BrA/cE+h/mv1nA9qf1W03G3BsrLtZ3m9ht/3f/gNVdXqSPwN3TbJJVV00oP8oLhyUkAHOAe7KTa8N4Gzav+N36H6G9nldAzwtydMG9NkIuF2Szavq7z37L6qq3w9oP9nnNW1VtWjQ/m4mwsJBxyRJkiRJkrRqmTiQ1n6bABcMWn+/qq5Ncj7t5vtIktwN+AntRvL/0ZYKuoiWgFgA7AmsVLHgPpt32wOnaHer/h39T9x3xmcTrD/gWP/SReM26bbnDjl+Li2Bsints5iJYf2uBRiSkBi/lg179m1O+7f94CnOdyugN3Fw4WTnZ/DnJUmSJEmSpLWQiQNp7XcRcJskG1bVNb0HkmwA3JZWOHhUr6DdnN67W/qmd7xn0hIHs2n8hvkmAwr6zraaIoY70GoN9LtjX7v5dBGwXlXdZr4DkSRJkiRJ0prJGgfS2uG6bjvoqfCTaX/rjxxw7JFdnxV9+68fMhbA3bvtlwcc22HyMGfkpG77iDkYe1Qnd9vF/QeS3B3YCjhjyAyHVe0kYLMk95nDc0z2fZMkSZIkSdIazsSBtHb4B+1p+bsMOHZEt317kluM7+x+PrR7+4m+Pn8H7jzkXGPddnHvziQ7MTsFgvt9gLZm/3uS3LP/YJKNksx1UmH8M3xDktv1nHt94F20f0v7P8P58p5u+/EkW/YfTHLLJA9dyXNM9n2TJEmSJEnSGs6liqS1QFVdmuTHwCOSHAmcTnsq/GtVdVSS3YF/BX6V5BjaTd89aEV3j66qI/uG/B7wjCTH0mYjXAP8oKp+AHwI2Bv4YpIv0Yr33hd4PPAF4OmzfG2/SbIP7eb9r5J8s7u+DWk3rh8B/A3YZjbP2xfDD5O8E3g18Mvuui8DdqZd+wnAf87V+aejqr6X5CDg7cDvknwdOINW02Br2qyQE2i/r5meY7Lv289X9hokSZIkSZI0v0wcSGuP59CeNn888EwgwJ+Bn3fvjwf2AV7Qtf818G7gwwPGehktufBoYBfaE/WH0JIHP0+yI/AWYFfavyOnAk+mFdid1cQBQFV9NsmpwCuBHYHH0W7cnwN8CTh6ts85IIbXJDkZeDHwXFri4g/AG4B3Dyo+PV+q6h1JTgReCmwP7E6rfXA28DHgqFk4zWTfN0mStJoaO3TX+Q5BkiRJa4BUDasFKknSqpFk+cKFCxcuX758vkORJEmSJElaKyxatIgVK1asqKpF0+1rjQNJkiRJkiRJkjTBxIEkSZIkSZIkSZpgjQNJq1SSBcBeIzY/rKounLNgJEmSJEmSJN2EiQNJq9oC4OAR2y6lFVyWJEmSJEmStIqYOJC0SlXVMiDzHYckSZIkSZKkwaxxIEmSJEmSJEmSJpg4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCSYOJEmSJEmSJEnSBBMHWmskqe51ZpKbDWkz1rXZoGff4m7fsknGXtC1Gevbv1fPeX8wRf/rx9tOEnvv66ou3k8ludeAPouH9LvRq6/P0gFtLk9yWpJ3J7ndsGuYTJINkjwvybeTnJfk6m77nST79n7eI8TT+1o2jRgem+QrSc7pzv+PJKcn+WKSlyZJX/spP7skiwecZ70kT03y5SRnJbkyyWVJfp3kY0ke3rXba8Rz3OR3Nex70nP8QUk+meSPSa5IcnGSXyT5zyR3GtKn9/vyhSFtxr/nJww4tmmSNyc5Jcml3ffz7CQndd+dBw6LV5IkSZIkSWuWgTfzpDXcXYADgENX4TmvBR6R5F+q6rcDju8LpGs32d/dIT0/bwJsCzwXeEqS7avqlAF9zgSWTjPerwLjY90e2AV4RXeeRVX191EHSrIV8DXggcBfgeOAc4E7ADsDjwH2T7JbVf15hHh6jY0Yw+uAt9I+328CvwWuA/4Z2AF4KvCh7ni/QwbsG3j+JHcAvgQ8HLgE+A7wB9rv9h7AM4H9krwEOGHA2AuAPZnZ74wu+XEo8GratXwH+CKwEfAw4FW0z3rPqvrSJEM9LclDq+qkEc+7JXBiF/8fgSOB84HNgEW0v7crgJOne02SJGnVWnDQcfMdgrTWGTt01/kOQZKkWWfiQGubfwAFHJTk8Ko6fxWd93+APWgJggN7DyRZH9gb+CmwJTDwiXCAqlrSvy/J+4EX027O7jWg29igflM4pqqW9pzjZsBJwP27c012M703tlsA3wDuC3wK2L+qLu87/iHazfKvdzerLx8w1I3imY4kWwNvBi4Gtq+qX/QdXw94LC2RcBOjfnbdtXyT9hl9nnat/+hrc2vazftNuiTPKX3HF9M+i5n8zgDeSEsajAFPqKpf9Y3/FOCzwOeTPLaqvj9gjD/QEirvArYf8bxvpiUNjgD2rar+mSx3BO44+mVIkiRJkiRpdeZSRVrbXA78B+1p/YNX4Xl/BfwI2DPJhn3HdqUlDD4+w7G/3W1ntIzQKKrqStpT5AAPnkbXV9CSBj8E9ulPCnTv9+mO/z/g5Ssf7U08BFgf+H5/0qCL4fqq+lb/ze4ZeDktaXAi8G/9SYPuXBdX1ZtoN+VnVZIFtMTBNcBu/UmD7vxf7uJcH/hwlzTpdxJthsfDu0TDKB7Wbd8/6HOsqnOrasWIY0mSJEmSJGk1Z+JAa6MP0p6qfkGSe6zC836cdnN/9779+wGXAp+b4biP6bY/m2H/6bpmGm3367ZvqarrBzXo9r+1e/v8lQlsiPFlle7Wze6YK+Ox/8ewax1XVVfNwfn3ps0S+8qgBEmPw2lLRf0LbZmmQcaXOjp0QKJrkPHP+J4jxipJkiRJkqQ1mEsVaa1TVdckOYi29vs7gCevolN/ATiMdjP9SwBdodqdgU9W1aV99XlvIsmSnre3pj39/3DaUkjDnmJf0Nev12+q6vNTBZ7k5sBzurc3KYw7pM+dafUkrgWWTdH8+127uyTZakCtgz26J+r7HVZVF04x9km0mgH/D/h+kqXAj2nXPnB5ol6TfHZXVtWhXZveaz1+qjHnyPiyQt+drFFVXZvk+8CzaN+dmyxXVFWnJ/ko8O/Ai4D3TXHuo7vzH57kQbRZMCdPpxaGJEmSJEmS1hwmDrRWqqovJfkR8KSuqPBIN8NX8pyXJTmKNtNhQVWN0ZbpWZ/RlykatLzSacDnquqSIX22HtIP2pI0gxIHvTfqtwCeANwZ+AHw4RFjHV/T/u9VdcVkDavqiiR/pxVi3hLoTxzszk1nakArIHzhFGNflmQ3Wo2FR3QvgCuS/JR20/sTk8wCGPbZXcQNBbZ7r/XKyeKZQ+MxnDVC2/E2W07S5hBasuhNST5VVRdN0vaD3Vgvp9XwOBAgyRgtkfGBqjp1hLhIsnzIoW1G6S9JkiRJkqS551JFWpu9stvO+nrzk/g4EOB53fryzwN+XlU/GaVzVWX8BdyKtn7/X4Ejk7x1SLfje/v1vfYY0md32g3zg2lPnN8Z+A7wmCHFi+fa3kPiHxulc1X9vKoeSJuh8WpasuQ84JG0m94/TrLZkL7DPrtNZ+XKVlNV9TdaYmRz4PVTtK2qeh0tefEM2syaH3Tv9wWWJ9lv+AiSJEmSJElak5g40Fqrqn5EWzLoIUmePknT8fXqJ/t7GD821dr2K4AVtPXod6bNBphRUeSquqxLODwZuAx4dbdkzmzYu0tObEBbt/5o4LGMPtsA4C/ddvNuqaOhuuObd2/PmWasI6uqn1XVf1bVM6tqAS3x8htaUeOVKZZ9brfdPMnNVjLMmRr/vEf5Doy3meqzfg9tdsJLk2w91aBVdWFVHV1VL6+qHWi/07fQZtW8P8ntRxhj0aAX7fckSZIkSZKk1YCJA63tXksr9vv2JBsNaTO+RMvmQ44D3LbbXjjCOT8G3An4CHAF8NkR+gzVrfH/W9pN/oUrM9aAsa+rqt/R1sP/MW2mxG4j9v0T7abzBsDiKZov7tr9aUB9gznTJV5e3L191EqMcxbwJ9o1PHIWQpuJ8eW2HjNZo65A9OLu7YmTte2WXXoDsDHwtukG1CW33tjFtjGtpoIkSZIkSZLWcCYOtFarqt8DHwLuCrxkSLPfAlcB90wyLHmwXbcdZR33o2gzBLYCvjhCcd9RjC+zMyd/s1V1PfCy7u07upvPozi8274uQyo/d0s2va57+7GZRzlj47UhJq9MPbXx2N/QXdNQSTZeyXMNshS4jla34z6TtNuHVo/gt4xWyPkzwMnAM4EHzTC22fqMJUmSJEmStBowcaB1wZtpMwVeT6sbcCPdU9efpz1N/p/9N8CTbEVXDJZ283ZSXRHjxwNPoj3NvVKS7EFLfFwD/HBlxxumqn4M/A+tSO1zR+z2X8Cvge2Bw/uXLOref7w7/kva0jizKsm2SfYatFxSkg2B13Rvf7CSp3oPLXH0CODTSTYdcL5bJTkYeNVKnusmquqPtFkBGwJfS3LvAeffA3gvLcHwoi4hNNW4RYs3wNsHtUly4LBkRZLtgR2Ba4EfjXQxkiRJkiRJWq1tMN8BSHOtqi5I8jbgnZM0eyWtsO7ewHZJvgNcTKtRsDvwT8A7qmqUJ7ipqhOmbnVTSZb0vL0lcG9arQSA11XVXwd0W9DXr99h05j18CZgV+DgJEdW1dWTNa6qS5M8Hvga7Un3XZJ8nbYe/+2BXWgFdE8BnjhHhZe3BD4JfCDJCcBpwJXdeR8P3AH4PS2BdBNTfHbHVNUpAFV1eXetXwL+DXhi9z35A+2m+92BRwO35oblkWbbEtr34hXAqUm+BfyKlkx4GK2mwxXAM6vq+6MOWlX/2/3edhnS5N+Adyb5DXASrebDLYH70JaACvDKqpqz+hWSJEmSJEladUwcaF3xPmB/YMGgg1X19yQPAV5KmymwF3Bz4O+05V4+XFVfXwVx9hbwvQ74G3As8IGq+s6QPlszeeHfpYxWm4GqOjnJV2gFmV8AvH+EPn9K8mDaZ/Z0YDdg0+6cP+9iW1pV14wSwwx8j1aj4XHAItpyO5vSEj+/oT2B/4GqunRI/8k+uzFa0gOAqvpLkkcCT6Et7fNQ4Am0otl/Ar4IHFFVczIzpJtB8MokRwP/Tqu38Gjad2UMeDctUTSTOhIHAjvRCh3325uWUHoUrX7CHWjJgrOBz9H+PmaULJMkSavW2KG7zncIkiRJWgOkrVIhSdL8SbJ84cKFC5cvXz7foUiSJEmSJK0VFi1axIoVK1ZU1aLp9rXGgSRJkiRJkiRJmmDiQJIkSZIkSZIkTTBxIEmSJEmSJEmSJpg4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCSYOJEmSJEmSJEnSBBMHkiRJkiRJkiRpgokDSZIkSZIkSZI0wcSBJEmSJEmSJEmasMF8ByBJWnWS3At4BvAA4IHAnbtDG1bVtUP6PBZ4fNfnAcBtgBOravs5DleSJEmSJEnzwMSBJK1bdgLeBFwH/A64ErjZFH3+Hdi9a/t7WuJAkiStgRYcdNx8hyCttsYO3XW+Q5AkabXhUkWStG75BvBQ4J+q6l7AX0fo8w7gvsCtgCfOYWySJEmSJElaDZg4kLTOSLJXki8n+WOSK5JcnOTEJM8e0v42Sd6a5JdJLk9yUZJTkxya5JY97RYleW937IIkVyb5XZJ3J9lsJeJNkj2T/DDJ37pxz0ryrSRPn8mYVfXbqvpxVV0xjT4/qqpfVdV1MzmnJEmSJEmS1iwuVSRpXfJh4FfAD4Bzgc2BXYDPJPmXqnrjeMMkdwW+D2wNLO/6rgfcE3g58BHgsq75fsCTgOOB73btFgGvAHZO8pCqumQG8b4VeC1wBvAF4CLgjsCDgacBR89gTEmSJEmSJGlSJg4krUvuW1V/6N2RZCPa8j0HJflIVZ3dHTqSljR4XVW9va/PbYFLe3a9Hfj3/ifykzwPOBzYn7bcz3S9ADi7i/vyATFIkiRJkiRJs86liiStM/qTBt2+q4EP0hKpj4a29BCwHXAKA274V9X5VXVlz/szhyzjcwRwMa0g8UxdQytkfJMYVmLMeZNk+aAXsM18xyZJkiRJkqTGxIGkdUaSuyT5YJLfdDULKkkBX+6a3KnbPrTbfquqrh9h3A2TvDjJCV2Ng+u6ca8Hbt0z7nQdCSwATkvy9iSPT7LJDMeSJEmSJEmSRuJSRZLWCUnuBvwE2Az4P+DbtJoB19Fuzu8JbNw137Tbns1ojqbVOPgj8FXgL8BV3bEDesadrpd3Y+4NHNS9rk3ydeCVVfX7GY47b6pq0aD93ayDhas4HEmSJEmSJA1g4kDSuuIVtGLIe1fV0t4DSZ5JSxyMu7DbTjlTIMmDaEmD7wI7V9W1PcfWA14904C75Y8OAw5LsgWwPfAMWmHk+yS5T1VdNckQkiRJkiRJ0rS5VJGkdcXdu+2XBxzboe/9Sd12p+7m/yjjfq03adDZFrj56CEOV1XnVdV/V9W/Av8L/DNw39kYW5IkSZIkSepl4kDSumKs2y7u3ZlkJ2Df3n1VtRz4IfAA4DX9AyXZPMnNphh3C1rR5RlJsnGShw/YvyFwm+7t5TMdX5IkSZIkSRrGpYokrSs+RKsV8MUkXwLOoT2x/3jgC8DT+9o/G1gGvC3JU7qfA9wDeBywDS1p8FPgRODJSX4InADcHtgZ+G13npm4OXBCkt8Dy4EzgZsBjwXuRZvh8OvpDprktsC7enbdttt+oivoDHBoVf2mp8/23JBcuVW3vUeSpeNtqmqv6cYiSZIkSZKk1ZOJA0nrhKr6eZIdgbcAu9L+/TsVeDKtpsHT+9qfkWQhrUbBHsCLgStpyYJ3A+d17a5Lsls37i7AS2lFlQ/v9p02w5Avo8122BF4WBfDJcAfgBcBR8xw3Ftx43oO457b8/NS4Dc97+8+oM8Wffv2mmE8kiRpFRo7dNf5DkGSJElrgFTV1K0kSZpDSZYvXLhw4fLly+c7FEmSJEmSpLXCokWLWLFixYqqWjTdvtY4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCdY4kKRVJMkDaLUKplRVS0Yc8wBg0xGaLquqZaOMKUmSJEmSpHWbiQNJWnUeABw8YtslI7Y7ANh6xLbLRmwnSZIkSZKkdZiJA0laRapqKbB0lsdcMJvjSZIkSZIkSdY4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCSYOJEmSJEmSJEnSBBMHkjRHktw6yfuSjCW5NkklecB8xyVJkiRJkiRNxuLIkjR33gm8APgf4DPAdcBf5jOgJFsBewIPAB4I3A0IcI+q+v2QPtsCT+rpc3vg7KraahWELEmSJEmSpFXMxIEkzZ0nAKdX1RPnO5AeDwLeAhRwBnARsOkUfZ4FvAy4BjiNljiQJElroAUHHTffIUirpbFDd53vECRJWq24VJEkzZ0tgXPnO4g+PwMeCWxaVf8MnDpCn6XAQuBWVfWAuQtNkiRJkiRJqwMTB5LWeUl2S/K9JOcmuSrJOUmOT7J/T5tFSd6b5NQkFyS5Msnvkrw7yWZ94y1LUrQlgHboahtUkmVzEdt0VNWfq+r/quriafQ5papOrqqrZ3JOSZIkSZIkrVlcqkjSOi3J84GP0moPHAucD2wB3A/YG/hQ13Q/2jr/xwPfpSVeFwGvAHZO8pCquqRruxRYBhwMnNm9Bxibo9gkSZIkSZKkWWPiQNK67gXA1cD9q+q83gNJbtvz9u3Av1fVdX1tngccDuwPvAOgqpZ2xw4GxqpqyRzHJkmSJEmSJM0aEweSBNfSCv/eSFWd3/PzmUP6HgH8F7ATXeJgVce2JkmyfMihbVZpIJIkSZIkSRrKGgeS1nVHArcATkvyniR7JLldf6MkGyZ5cZITuhoH13V1DK4Hbg3cab5ikyRJkiRJkmaTMw4krdOq6r+SnE9bauilwAFAJTkeOLCqftY1PZpW4+CPwFdpdQeu6o4dAGw8j7GtMapq0aD93UyEhas4HEmSJEmSJA1g4kDSOq+qPg18OsmmwMNoCYJ9gG8l2QbYutv3XWDnqrp2vG+S9YBXz1dsVfW3uTq3JEmSJEmS1k0mDiSpU1UXAl8Hvt4lBPYBHgls2DX5Wm/SoLMtcPN5jO3Lc31uSZIkSZIkrVuscSBpnZZkxyQZcGiLbns5MNb9vLiv7xbAB+c5NkmSJEmSJGlWOeNA0rruK8ClSU6iJQgCPAJ4MLCctjzR9cCJwJOT/BA4Abg9sDPwW+CceYxt2pIs7Xm7Tbd9R5JLup8Pr6oTetpvAxzUN8xmfeO8qqrOn0k8kiRJkiRJWr2YOJC0rjsI2IlWmHcX4ErgTOA1wIer6hqAJLsBb+navBQ4Gzi823fafMY2A3sO2Pfknp+X0ZIj4+4woM8t+vYtAUwcSJK0mhs7dNf5DkGSJElrABMHktZpVfUR4CMjtLsA2H/I4QVD+gxaZmhko8Y2g3GnFVdVLaPNdpAkSZIkSdI6wBoHkiRJkiRJkiRpgokDSZIkSZIkSZI0waWKJGkVSbIA2GvE5odV1YUjjLkXQ5ZK6nNKVR0z4rklSZIkSZK0DjNxIEmrzgLg4BHbLgUuHKHdXsAOI7T7FHDMiOeWJEmSJEnSOszEgSStInNRZLiqFs/meJIkSZIkSZI1DiRJkiRJkiRJ0gQTB5IkSZIkSZIkaYKJA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQJKmKcmCJJVk6XzHIkmSJEmSJM22DeY7AEmSJEnSqrHgoOPmOwRp3owduut8hyBJ0hrDGQeSJEmSJEmSJGmCiQNJkiRJkiRJkjTBxIGkNVJvnYEk/5zkS0n+nuSSJN9Oct+u3e2SfCzJuUmuTPLTJDv2jbVlkjclOTHJX5JcneScJEclufc047pFktcmOSXJZUkuTfKjJM+cpWtdkOTzSc7vrudnSZ4woM+Srs/iycbr27+023/XJC9Oclp3jrEkr0uSrt3Tkvyku77zknwgyc1nen2SJEmSJElavVjjQNKabgHwY+DXwNLu/ZOAZUm2A74JXAwcDdwGeAbwjST3rKo/dWM8EjgI+D7wZeBS4B7AU4Hdkjy8qk6dKpAkmwL/CzwQWAEcQUvQ7gQcleQ+VfWGlbjWrYGfAH8EPtNdz9OBryZ5TFV9fyXG7vUuYDFwLPBtYDfgrcBGSS4ADgWOAf4PeCzw78D6wItm6fySJEmSJEmaRyYOJK3pdgDeUFVvHd+R5I3Am2kJhS8A+1fV9d2x7wCfBl7evaDd7L99VV3SO3CS+wMn0m6U7zxCLIfRkgavqap39oxzM9qN9tcl+VJVnTLtq2wWA0uq6pCesY+iJUcOpCU+ZsMi4H5VdXZ3jiXA77tzXA4sqqpfd8c2Bk4G9klycFWdN9nASZYPObTNLMUuSZIkSZKkleRSRZLWdGO0G/u9PtVtNwYOHE8adI4CrgUeML6jqs7rTxp0+0+lJRV2TLLhZEEk2Rx4NvCz3qRBN86VwGuAAM+a+pKGOhN4S9/Y3wL+BGy7EuP2+4/xpEF3jguBrwG3AD48njTojl1Fm82xEXCvWYxBkiRJkiRJ88QZB5LWdKdU1XV9+87ptqf3JwSq6rokfwW26t2fZFfghcCDgNty038fbwucO0kcD6Yt11PdE/r9xhMPK3NzfdC1ApwFbLcS4/b72YB945/poBkD40mGrQYcu5GqWjRofzcTYeFI0UmSJEmSJGlOmTiQtKa7qH9HVV3b1fG9ybHOtdxwI58kL6MtM/QP4Du0J/gvBwrYA7g/bfbCZDbvtg/uXsPcaopxJnPhkP3XMrszyAZ9bteOcGzSWRmSJEmSJElaM5g4kLROS7IBsAT4C7Cwqs7tOz7qk/zjN9TfU1WvmL0IZ2x8eaZB/85vugrjkCRJkiRJ0hrGGgeS1nW3pd1I/+GApMGtGH35nJ/QbtY/Ylajm7l/dNs7Dzj2oFUZiCRJkiRJktYsJg4krevOoy1LtKhLFADQFUN+Ly2xMKWqOg84EnhQkjcmWb+/TZJ/TnLX2Ql7Sj/ptnt3syrGY7gz8KZVFIMkSZIkSZLWQC5VJGmdVlXXJ3kfcBDwiyRfBTYCdgRuA3y/+3kULwbuAbwZeE6SE4C/AlvSiiI/GHgmcMasXsQAVfXjJD8AHgn8JMn/ArcHngh8i8EzESRJ0lpu7NBd5zsESZIkrQGccSBJ8EbglcAVwAuAJwM/A7alFUoeSVVdDOwAvAQ4H3gK8Apa4uES4OW04suryu7A4cBWXUwPBF4NvGYVxiBJkiRJkqQ1TKpqvmOQJK3jkixfuHDhwuXLl893KJIkSZIkSWuFRYsWsWLFihVVtWi6fZ1xIEmSJEmSJEmSJpg4kCRJkiRJkiRJEyyOLEmrWJIFwF4jNj+sqi6cs2AkSZIkSZKkPiYOJGnVWwAcPGLbpcCFcxWIJEmSJEmS1M/EgSStYlW1DMh8xyFJkiRJkiQNYo0DSZIkSZIkSZI0wcSBJEmSJEmSJEmaYOJAkiRJkiRJkiRNMHEgSUMkWZqkkiyY71h6JVnSxbV4vmORJEmSJEnS2sfiyJJWqSQ1zS57V9XSEcceA6iqBdM8x6xKcktgP2A34L7ApsDlwOnAd4BPVNUf5y3AWdAlU84APlVVe81vNJIkaVQLDjpuvkOQ5sXYobvOdwiSJK1RTBxIWtUOGbDvAGAT4L3AhX3HTpnbcGZXkocCXwLuBPwZ+DpwDnBL4IHAa4ADkzy0qlbMW6CSJEmSJEnSECYOJK1SVbWkf1+SvWiJg8OqamwVhzRrkmwDfAu4FXAQ8O6quravzV2BdwC3XvURSpIkSZIkSVOzxoGk1VqSf03ygyQXJbkiyS+SvDbJxj1tFndLIG0NbN2t/z/+WtrTbo8kn01yepLLutfyJC9NMhv/Hr6flhB4R1W9oz9pAFBVZ1TVvwI/6rvOeyT5dJKzk1yd5Jzu/T0mO2GSpyb5SZLLk1yQ5PNJ7jSk7cjn6K2jkORZSX6c5NIkY0mW0JYpAtiz7/Pea6RPSpIkSZIkSastZxxIWm0leRvwWuB84CjgUmBn4G3ATkkeV1VXA2O0JZAO6Loe1jPMKT0/HwpcD/wYOJs2y+FRtCWSHgw8ZyVivSvwGOBK4J1Tta+qq3r6Phj4LvBPwNeA04BtgGcDuyd5TFX9dMAw+9PqKHwNOB54CPB04P5JHjBL53gl8FjgWOD7tM9sGa1uw8uAU4FjetqfMtW1S5IkSZIkafVm4kDSainJdrSkwVnAtlX1l27/a4GvAE8AXgW8rVveaMn40+6DlkPq7FpVf+g7z3rAJ4HnJvlAVf14hiFv322XV9WFo3ZKEuDTtJkKz66qI3uOPR34PPCZJPeuquv7uj8eeHBV/aKnz1HAM4HdgS/MwjkeBWxXVSf3xT1GSxycMsnnPeh6lw85tM2oY0iSJEmSJGluuVSRpNXVPt32LeNJA4Bu+Z9X0mYO7DudAfuTBt2+62kzDgB2mlmoANyx2/55mv0eRrtp/qPeG/pdbEcDJwD/wg2JiV7v600adD7ebbedpXN8rD9pIEmSJEmSpLWbiQNJq6uF3fZ/+w9U1em0G/R3TbLJqAMm2TzJoUl+3q3XX11thPGn4AfWBphjQ6+zb/8DBxz72YB9Z3XbzWbpHD8Z0mdGqmrRoBfwm9k8jyRJkiRJkmbOpYokra7GEwLnDjl+LnAX2lr7F001WJJNgZ8Cd6XdDP80cAFwLTes17/xkO6jGI9zusmHUa4TWoz9Lhywb7wg8/qzdI6/DNgnSZIkSZKktZiJA0mrq/FkwB2AmywxxA1LA02ZNOjsS0saHNK/Jn9XT+FlM4ix1wnd9kFJNqmqUePqvc5Bpnuds32OWonzSpIkSZIkaQ3kUkWSVlfj6+ov7j+Q5O7AVsAZfYWIr+PGT9r3unu3/fKAYzvMLMQbVNUZwHeBmwEHTtU+yfjshqHX2dmx265YifDm4hzXddthn7ckSZIkSZLWUCYOJK2ujui2b0hyu/GdSdYH3kX79+sTfX3+Dtwuyc0HjDfWbRf37kzyQOC1sxAvwEuBi4HXJnllkpvM6kpylySfB7brdp0I/BbYPslT+9o+FXgEcDo3zGiYibk4xz9osxHushJxSZIkSZIkaTXkUkWSVktV9cMk7wReDfwyyZeAy4CdgfvSbnL/Z1+37wEPBr6Z5AfAVcCpVXUsrabBgcBhSXYEfgfcA3gC8N/A02ch5l8n2Qn4Ei258bIk3wPOAW4J3B94OO2G+zu6PpVkT+A7wNFJvkorFPwvwB7AJcBzq+r6lYhr1s9RVZcm+THwiCRH0hIP1wFfq6qfzzRWSZI0t8YO3XW+Q5AkSdIawMSBpNVWVb0mycnAi4HnAhvS6h28AXh3VV3d1+UttAK/T6TdoF8f+BRwbFWdk+QRwKHA9sBOtJvn+9OWGFrpxEEX80lJtgH2A3YDdgU2Ay4Hfg+8G/hYt7TReJ8fJ3lwd12P6eI/H/gc8B9V9dtZiGsuzvEc4D3A44FnAgH+DJg4kCRJkiRJWoOlyrqXkqT5lWT5woULFy5fvny+Q5EkSZIkSVorLFq0iBUrVqyoqkXT7WuNA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQJIkSZIkSZIkTTBxIEmSJEmSJEmSJpg4kCRJkiRJkiRJE0wcSJIkSZIkSZKkCSYOJEmSJEmSJEnSBBMHkiRJkiRJkiRpgokDSeqT5NZJ3pdkLMm1SSrJA+Y7LkmSJEmSJGlV2GC+A5Ck1dA7gRcA/wN8BrgO+MuonZMsAM4APlVVe81GQEkKOL6qFq/kOI8FHg88oHvdBjixqrafpM/zgG279v8PuDnw1qp6w8rEIkmSVr0FBx033yFIq8zYobvOdwiSJK2xTBxI0k09ATi9qp4434HMgX8HdgeuBH5PSxxM5d3AJsA/gHOAf56z6CRJkiRJkjTvXKpIkm5qS+Dc+Q5ijrwDuC9wK2DUxMgzgAVVdRvgLXMVmCRJkiRJklYPJg4krbGS7Jbke0nOTXJVknOSHJ9k/542i5K8N8mpSS5IcmWS3yV5d5LN+sZb1i0JFGCHrrZBJVk2jZiW0JYpAtizZ4xKsldPu/WSvDDJT5NcmuSy7ucXJVmvp91eXUz0xVTduaalqn5UVb+qquum0eebVXXmdM8lSZIkSZKkNZNLFUlaIyV5PvBRWu2BY4HzgS2A+wF7Ax/qmu4HPAk4HvguLWG6CHgFsHOSh1TVJV3bpcAy4GDgzO49wNg0QlsGbAq8DDgVOKbn2Ck9P38GeBZwFnA4UF2cHwK2B/6tp88hA2IaP5ckSZIkSZI0q0wcSFpTvQC4Grh/VZ3XeyDJbXvevh349/4n7LuCv4cD+9OW76GqlnbHDgbGqmrJdIOqqmVJxmiJg1MGjZHkmbSkwcnAI6vq0m7/G2gJjmclOa6qjqqqU4BTViam1UmS5UMObbNKA5EkSZIkSdJQLlUkaU12LXBN/86qOr/n5zOHLMtzBHAxsNPchTfUPt32oPGkAUBVXQa8pnu77yqPSpIkSZIkScIZB5LWXEcC7wZOS/J52pP6J1bV33obJdmQNjvhGcC9gU24cdL0Tqsm3BtZCFzP4KWGjgeuAx64KgNaVapq0aD93UyEhas4HEmSJEmSJA1g4kDSGqmq/ivJ+bSlhl4KHABUkuOBA6vqZ13To2m1A/4IfJVWE+Gq7tgBwMarMOxxmwAXVNXV/Qeq6truurZY9WFJkiRJkiRJJg4krcGq6tPAp5NsCjyMliDYB/hWkm2Arbt93wV2rqprx/smWQ949SoPurkIuE2SDavqRkstJdkAuC1tGSVJkiRJkiRplbPGgaQ1XlVdWFVfr6r9gKXAbYBHAnfvmnytN2nQ2Ra4+RyFNF5TYf0hx0+m/fv7yAHHHtn1W9G3//pJxpMkSZIkSZJmjYkDSWukJDsmyYBD40v8XA6MdT8v7uu7BfDBOQsO/gEUcJchx4/otm9PcoueuG4BHNq9/URfn78Dd57NICVJkiRJkqRBXKpI0prqK8ClSU6iJQgCPAJ4MLCctjzR9cCJwJOT/BA4Abg9sDPwW+CcuQisqi5N8mPgEUmOBE6nzUL4WlX9vKqOSrI78K/Ar5IcQ0s07AHcFTi6qo7sG/Z7wDOSHEubjXAN8IOq+sF0YkuyPbBv9/ZW3fYeSZb2xL9XX599ge27t+OzOJ6YZKvu599U1aFIkqTV3tihu853CJIkSVoDmDiQtKY6CNgJWAjsAlwJnAm8BvjweO2AJLsBb+navBQ4Gzi823faHMb3HOA9wOOBZ9ISG38Gft4dfyZwPK0mwwu6fb8G3g18eMB4L6MlFx5Nu5b1gEOAaSUOaDf+9+zbt0Xfvr36jm8/oM/9uhe06zBxIEmSJEmStJZIVc13DJKkdVyS5QsXLly4fPny+Q5FkiRJkiRprbBo0SJWrFixoqoWTbevNQ4kSZIkSZIkSdIEEweSJEmSJEmSJGmCNQ4kaQpJFnDTdf+HOayqLpyzYHok2RQ4YMTmS6tqbM6CkSRJkiRJ0lrDxIEkTW0BcPCIbZcCF85VIH02ZfS4lgFjcxWIJEmSJEmS1h4mDiRpClW1DMh8x9Gvm0Gw2sUlSZIkSZKkNZs1DiRJkiRJkiRJ0gQTB5IkSZIkSZIkaYKJA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQPMmyfpJ9ktyfJILklyT5LwkP09yeJLd+tovTlJJlvXsW9DtG/W1V0/fpSO0XzrNa9osyZuS/CTJP5JcleSsJF9I8thJ+o1NEceSEc9fSWo6Mff0Pb3r/8Mp2i0bEN+lSU5JcnCSW03R/05J/iPJj5Kc3/3eL0pycpIPJVk8oM9eI/yuxgb0e2ySryQ5J8nV3e/k9CRfTPLSJOnaTec7dKPv0Qif62OTHJnkjCSXJ7kiye+TfCbJzn1tb/Idn8Z57pzkuq7/26ZoO62/va7Ppkne3P2eL+2+22cnOSnJu5M8cLoxS5IkSZIkafW0wXwHoHVTkvWB/wEeD1wIHAf8GdgIuA/wLGAb4GtTDHUhcMgUbe4JPBO4DvjNgONfBU4Z0nfY/ptI8kjgy8BtgV8DRwKXAPcAdgWeluSzwL5VddWQYd5Lu6Z+y0aNYyaS7EiLs4Dtkty3qn45RbdPAWNAgC2BPYAlwG5Jtquqqwec5/m0a7wZ7XfxFeA84JbAvwDPBV6U5F1VdeCAc54KHDMkngv7zvU64K3AtcA3gd/SvgP/DOwAPBX4UHd80HfoAGATBv9OThkSQ+/5/wn4NO1zuRL4X+C/gWuAuwK7AM9O8u6qetVU441gX1oyuIC9k7ypqq4dENe0//aSbAmcCCwA/kj7bp8PbAYson1WVwAnz8J1SJKkObTgoOPmOwRpTo0duut8hyBJ0lrBxIHmyzNpNy5PBXaoqot6Dya5BfCQqQapqgtpN6sHSnIb4Mfd25dX1UkDmh1TVUtHinr4ee4NfB24OfAS4INVVT3H70y74f1s4GrgeUOGOqyqxlYmlhl6frd9B3BQ9/6lU/RZWlXLxt8kOQj4ObCQ9vv9VG/jJM8FPgr8A3hGVX21f8AktwZeANxlyDlPqaolU8RFkq2BNwMXA9tX1S/6jq8HPJaWSGDQmN2sgk2Ywe+kG/+LwE7A94FnV9U5fW02Bl5IS2ytlC4ZsA/tej8L7A/sRktU9JvJ396baUmDI2iJr+rrc0fgjit7HZIkSZIkSVo9uFSR5svDuu3S/huXAFV1eVV9f2VOkGQD4EvA3YGPVtX7V2a8KbyP9tT8O6vqA/03VqvqLOAJtJvm+yR52IAx5kWSzYEnAb8D3gj8hfYk/M2mM05V/Z0bZgM8uO8cmwCHdW+fPihp0I1xcVX9J/Dy6Zx7gIcA6wPf708adOe5vqq+1f97mkXPpCUNfg88sT9p0MVwVVW9F3jFLJxvZ2Ar4Gjgw92+/Ya0ncnf3nif9w/6zKrq3KpaMf2wJUmSJEmStDoycaD58vduu9JPW0/iA8COtGV+XjJXJ0lyV+DRwFXAO4e1q6pzgcO7ty+Yq3hmYE9gY9qN5Gtpy9BsBjxtJca8pu/9U7sxf1hV35mq86AldqZp/Pt1t+5p/FVtfAbHu6rqsskaTrJs1UzOt7RbYmo58Lhu5kW/mfztrYq/V0mSJEmSJK0mXKpI8+W/gdcAL+zWgv8KsLyqzpyNwZO8hHZz/g/AU6uq/0Z2rz2SLBhy7PNVNaguQq/tu+3yqvrHFG2/AxwIPHzI8QOSXNi378KqOmyKcVfGfsD1tPX4AZYCr6TdjP7MqIMkuR1t5gLACX2Hx6/3f2ccZfOADC8UfVJVfXP8Z+BM4P8B308rcv1j4DdVdd1KxjCpbqbLQ7u335vLc3XnuxOtXsLpVTVe2HoprfbAvrRZJL1m8rd3NO17fniSBwHfBk7uZplIkiRJkiRpLWPiQPOiqk5O8mxa4dlndy+SXAD8ADiiqo6dydhJHge8h7be+xNHuLm5e/ca5BQGF1TuNb62+1kjhDfeZsshx182YN+Z3LDMz6xK8ghaIdxvV9WfAarql0mWA9snuVdV/XpI972SLOaG4shPAjYHvkC7Gd3rDt327AExbEorrnsjQ2oZ3L97DfJeWhFkquqyJLvR6iw8onsBXJHkp7Qb4Z+Ypaf9+92GVmgYWtHhubYPbVmmpT37jgLeTVsWa0lvsmSGf3sfpP2OX05LfB3Y9RkDvgt8oKpOHSXY7rs1yDaj9JckSZIkSdLcM3GgeVNVX0jyFdpyQtsDD+y2e9BmAXwa2Gs669An2YZ24xpaAd5hN7177b2yxZFn0V1XcXHk8SVuPtm3fyntifX9GL4G/54D9n2yqvaZZgybAgcP2L9kwL5PVdVeowxaVT8HHtg9Ib8jrWjzdsAju9fzk+w4wiyR1VZXhPl53HjGCFV1QZJjgacAuwJf6+033b+9bvu6JO+k1W54KO3zfAhtVsPeSV5UVR+fw8uVJEmSJEnSKmKNA82rqrqmqr5dVW+qqicCtwWeDlwGPJfhMwFuIsltgGOBTYADq+obcxHzAH/ptnceoe14m5sUy13VkmxGqz1wITcUNR53FHA18NwkGw8ZYseqCu3p+vvTliHaO8kbBrQd/4xuMtOiqsaqKuMvBsxKWBlV9bOq+s+qemZVLaDd7P5NF/OghMXKuoD22QHcaQ7G77UTsDXwnarq/9yWdtvnM8BM/vaq6sKqOrqqXl5VO9BmmLyFNuPh/UluP1XAVbVo0IupZ/ZIkiRJkiRpFTFxoNVKVV1XVV+gLTUE8KhR+nXryn8RuDttqZX3TNFlNo2v57+oW3ZnMo/ptifOXTgjey5wM9oT/1ckqfEXrRjuRrQbw0+ZbJDuBvTPgSfSllU6JMkD+5qNX++jZzH+GamqnwAv7t6O9P2a5vjX0moswNxf73hSYKfe31/3OxxfbujxSaZMas3kb6+qLquqN9L+BjZmeO0OSZIkSZIkrUFcqkirq0u6bUZs/37ajc7/A140JxENUVV/TPJ92rIvBwKvH9Suexp7v+7tx1ZReJMZj+VzwOUDjm9Cm5GwH20GwqSq6vIkrwE+D7wTeGzP4S8B7wIeluTRVTXnRYOnMN3v13R9jLYc0quSfLaqBn2+LYBk45nUWkhyB+AJtFoeXxzSbBvazfx9gENGHHomn81cf56SJEmSJElahUwcaF4keSZwPvC9qrq+79gduOGm9g9GGOslwAuBMeDJVXX15D3mxMtoT5m/Jsmfq+rDvQeT3Im2HNBmtDoA8zrjIMnDgPsAp1XVs4a0WQ/4I7A4yT2q6ncjDP0FWuLkMUkWV9UygKq6KMkBtOVzvpBkz6r6nwHnvAWw4QwuqX+cbYF7A0dX1RV9xzYEXtO9nfL7NUOfA55DW0roq0meW1Xn9sWxEe17fi9umAExHfvQ/g0/sqr2H9Qgyd2B04HnJfmPqrp+Jn97SQ4Evl5Vvxpwju1pSbNrgR/N4DokSZIkSZK0mjFxoPnyENrN9r8kOQE4o9t/V1ox15sDX6U9qT5Ukodyw9IqPwVenEz60POy8ZvZPfZIsmBI+7FRCidX1S+SPKGL90NJ/h34Pu1J7LvTrukWwJGsghkRSZZOcnh/blji5hPDGnU3mT9JK1L8fNpsiklVVSV5E/AV4G3Aw3qOfaqrl/A+4Ngkv6YtYXQecCtgK+Bx3c/Dbug/IMmSSc4/fmxLWsHnD3Tfr9OAK4E7Ao8H7gD8HnjzVNc0E91n9zTgM7RaAX9M8j3g18B1wALaDJnb0WZi9Ntmkt/hn2i1Gfbt3h8+SRy/T3I8sBjYGTiOmf3t/RvwziS/oSXIzgVuSUs+PYo20+CVVTXvtTskSZIkSZK08kwcaL68G/gdbc3/+9GezL4ZbW39ZbSlcY6qqppinG1ohVkBnjbiuZf1vd+d4UWYj+eGIrOTqqrvJ7kn8BLaEjLjNQT+Bnwd+HhVfXvEGFfWnpMcO5j2WV0NfHqKcY4A3gTsmeT1o8zmqKpjkiwHtkvyxKo6tufYx5J8nZY8eQytfsI/0ZZKGqMlVj5XVccPGf7+3WuYJd32e8CzaImIRcCDaLUcLqYV4X0v8IGqunSq65mpqrqElpR6HLAXsB2t5kFoxbG/C3y6qr45oPvtGf47PJW2JNddgZOrasUUoXycljh4Pi1xMJO/vb1pSYVHdWPdobuOs2mzKz5cVScgSZJWe2OH7jrfIUiSJGkNkKnvy0qSNLeSLF+4cOHC5cuXz3cokiRJkiRJa4VFixaxYsWKFVW1aLp915uLgCRJkiRJkiRJ0prJxIEkSZIkSZIkSZpg4kCSJEmSJEmSJE0wcSBJkiRJkiRJkiaYOJAkSZIkSZIkSRNMHEiSJEmSJEmSpAkmDiRJkiRJkiRJ0gQTB5IkSZIkSZIkaYKJA0maY0luneR9ScaSXJukkjxgvuOSJEmSJEmSBjFxIElz753AS4BfAG8HDgH+MmrnJAu6ZMPSlQ0kyVOTvD/J/yW5uBv3s5O03zDJy5J8MskpSa7u+uy7srFIkiRJkiRp9bTBfAcgSeuAJwCnV9UT5zsQ4A3A/YFLgT8D20zR/pbAYd3Pf6UlPO48V8FJkqS5teCg4+Y7BGlOjR2663yHIEnSWsEZB5I097YEzp3vIDovB+4J3Bp40QjtLwd2AbasqjsAR8xhbJIkSZIkSVoNmDiQpE6S3ZJ8L8m5Sa5Kck6S45Ps39NmUZL3Jjk1yQVJrkzyuyTvTrJZ33jLkhQQYIduiZ9KsmwaMS0Bzuje7tkzRiXZa7rXWFXfr6rfVVWN2P7qqvpGVa0uiQ9JkiRJkiTNMZcqkiQgyfOBj9KW4jkWOB/YArgfsDfwoa7pfsCTgOOB79ISsIuAVwA7J3lIVV3StV0KLAMOBs7s3gOMTSO0ZcCmwMuAU4Fjeo6dMo1xJEmSJEmSpJGYOJCk5gXA1cD9q+q83gNJbtvz9u3Av1fVdX1tngccDuwPvAOgqpZ2xw4GxqpqyXSDqqplScZoiYNTZjKGJEmSJEmSNB0mDiTpBtcC1/TvrKrze34+c0jfI4D/AnaiSxzoppIsH3JoqiLNkiRJkiRJWkWscSBJzZHALYDTkrwnyR5JbtffKMmGSV6c5ISuxsF1XR2D62kFh++0iuOWJEmSJEmSZpUzDiQJqKr/SnI+bamhlwIHAJXkeODAqvpZ1/RoWo2DPwJfpdVEuKo7dgCw8SoMe41TVYsG7e9mIixcxeFIkiRJkiRpABMHktSpqk8Dn06yKfAwWoJgH+BbSbYBtu72fRfYuaquHe+bZD3g1as8aEmSJEmSJGmWmTiQpD5VdSHwdeDrXUJgH+CRwIZdk6/1Jg062wI3n6OQxgsxrz9H40uSJEmSJEkTrHEgSUCSHZNkwKEtuu3lwFj38+K+vlsAH5yz4OAfQAF3mcNzSJIkSZIkSYAzDiRp3FeAS5OcREsQBHgE8GBgOW15ouuBE4EnJ/khcAJwe2Bn4LfAOXMRWFVdmuTHwCOSHAmcTpuF8LWq+vl0xkqyB7BH9/YO3Xa7JEu7n8+vqlf19TkI2KZ7+4Buu3eS7bufT6iqw6cThyRJkiRJklZfJg4kqTkI2IlWoHcX4ErgTOA1wIer6hqAJLsBb+navBQ4Gzi823faHMb3HOA9wOOBZ9ISG38GppU4oN3437Nv3926F7RrflXf8ccDO/Tte1j3GmfiQJKkNcDYobvOdwiSJElaA5g4kCSgqj4CfGSEdhcA+w85vGBIn0FLIE1LVf0eeOIsjLMEWDLNPotX9rySJEmSJElac1jjQJIkSZIkSZIkTTBxIEmSJEmSJEmSJrhUkSStYkkWAHuN2PywqrpwLseRJEmSJEmSepk4kKRVbwFw8IhtlwIXzvE4kiRJkiRJ0gQTB5K0ilXVMmA2CibPyjiSJEmSJElSL2scSJIkSZIkSZKkCSYOJEmSJEmSJEnSBBMHkiRJkiRJkiRpgokDSZIkSZIkSZI0wcSBJK2FklT3OjPJzYa0GevabLAS51i2UoFKkiRJkiRptTOjm0WSpDXGXYADgEPnOQ5JkrQaWHDQcfMdgjSysUN3ne8QJElaZznjQJLWXv8ALgAOSnLb+Q5GkiRJkiRJawYTB5K09roc+A9gE+Dg2Ro0yV5Jqnu7Q8+ySJVkyWydR5IkSZIkSfPDxIEkrd0+CPwBeEGSe8zSmKcAh3Q/n9n9PP5aNkvnkCRJkiRJ0jyxxoEkrcWq6pokBwFfBN4BPHkWxjwFOCXJwcBYVS1Z2TElSZIkSZK0+jBxIElruar6UpIfAU9Ksn1VnTBfsSRZPuTQNqs0EEmSJEmSJA3lUkWStG54Zbd917xGIUmSJEmSpNWeMw4kaR1QVT9K8iXgqUmeXlVHz1Mciwbt72YiLFzF4UiSJEmSJGkAZxxI0rrjtcA1wNuTbDTfwUiSJEmSJGn1ZOJAktYRVfV74EPAXYGXzMKQ1wPrz8I4kiRJkiRJWo2YOJCkdcubgQuB1wO3Wsmx/g7ceWUDkiRJkiRJ0urFxIEkrUOq6gLgbcBmwOYrOdz3gK2THJvkkCRvSPLIlQ5SkiRJkiRJ88riyJK07nkfsD+wYCXHeRlQwKOBXWjJ6EOAH6zkuJIkaY6MHbrrfIcgSZKkNYCJA0laC1VVJjl2Fa3Owcqe4zzgWSs7jiRJkiRJklYvLlUkSZIkSZIkSZImmDiQJEmSJEmSJEkTXKpIkkSSTYEDRmy+tKrG5iwYSZIkSZIkzSsTB5IkgE2Bg0dsuwwYm6tAJEmSJEmSNL9MHEiS6GYQDC2oLEmSJEmSpHWHNQ4kSZIkSZIkSdIEEweSJEmSJEmSJGmCiQNJkiRJkiRJkjTBxIEkSZIkSZIkSZpg4kDSWinJgiSVZOmI7ffq2u81t5Hd6JxLunMuXlXnlCRJkiRJkqaywXwHIEmSJK1tFhx03HyHIA00duiu8x2CJEmS1gDOOJAkSZIkSZIkSRNMHEiSJEmSJEmSpAkmDiSt9ZJsk+SYJBckuSzJCUkeN2LfHZN8LMlpSS5OckWSXyY5OMnNhvRZP8kLk5yY5KKuz++THJ7kHiOc8y5JfpXk6iTPmcH1LutqJ2yc5C1JzkhyVZI/dHFvNKTfNkmWJjmrO/dfkxyV5F8GtF3aneNuSV6S5OfddS6bbrySJEmSJElavVjjQNLa7q7Aj4BfAB8F7gg8HfhGkmdV1dFT9H8NsA3wQ+A44GbAw4ElwOIkj6mq68Ybdzfl/wd4LHAWcBRwMbAAeBJwAvC7YSdLcn/g68A/AbtU1Xend7k38gXgwcCXgGuA3bu4H5Rkt6qqnvM+HvhvYEPgWOD3wFbAk4Fdk+xYVSsGnOO9wCNon83XgesGtJEkSZIkSdIaxMSBpLXdI4F3VdWB4zuSfICWTPhIkm9U1cWT9N8fOKP3Jns3xn8AbwCeCvQmH5bQkgbHAk+rqqt6+mwM3HrYiZI8BvgycBnwiKo6daQrHO5ewH2q6h/d+K8Hvg88AXg28Jlu/2bA54DLgUdW1Wk9Md0XOAk4HFg44BwLgQdW1RmjBJRk+ZBD24zSX5IkSZIkSXPPpYokre0uAt7cu6OqfgYcCWxKmwUwVFX9sT9p0HlPt91pfEeS9WmJhiuAF/YmDbqxrqqqvw06T5Jn057YPxt46CwkDQD+Yzxp0J3/SuC13dt9eto9l/ZZHNybNOj6/BL4OPDAJPcecI53jpo0kCRJkiRJ0prBGQeS1nYrquqSAfuXAXsCDwQ+NaxzklsCL6MlGO5JW0IoPU3u1PPzNsAmwI+r6pxpxPgy2jJCJwK79d7sX0nHD9h3Am05oQf27Nuu294/yZIBfe7Zbe8FnNZ37CfTCaiqFg3a381EGDSjQZIkSZIkSauYiQNJa7u/Dtn/l267ybCOSTYE/hfYFvglbUmiv9HqBQAcDGzc02XTbnv2NGN8JC0Z8b1ZTBrAgGuvqmuTnA9s0bN782673xTj3WrAvr8M2CdJkiRJkqQ1mIkDSWu72w/Zf4due9EkfXenJQ2WVtXevQeS3JGWOOh1Ybe9E9PzPOAg4OAk61XVm6bZf5jbA3/q3ZFkA+C2tILN48Y/g/tX1c+neY5ByzhJkiRJkiRpDWaNA0lru4VJ/mnA/sXd9uRJ+t692/73gGM7DNj3G1ry4H5Jthw1wK7PY4H/A96Y5J3T6DuZQTFuD6zPja/7pG77iFk6ryRJkiRJktZgJg4kre02AW70BH+SBwH/RnvS/iuT9B3rtov7+t8NeEd/46q6DvgQcHPgI0k27uu3UZLbDTpRV4fh8cD3gAOTvHeSuEb1xiSb9Zz/ZsDbu7ef7Gn3SVry4uAk2/YPkmS9JItnIR5JkiRJkiStAVyqSNLa7gfAvkkeQis+fEfg6bTE6Quq6uJJ+h4L/B54RZL/R3tK/y7AE4Djup/7HQI8BHgicHqS/wEuAe4MPA44EFg66GRVdXmSJwBfBl7a3eh/YVXNdDmgXwO/SvIlWl2G3YF/7mL/TM95/57kqbQkyklJvgf8irYM0Z1pxZM3B242wzgkaZ0zduiu8x2CJEmSJM2YMw4kre3OAB4G/AN4IfCvwApgl6o6erKOVXUZ8CjgKOA+wEuB+wH/ATx7SJ+raTMHXkIrTrxn9/O2tBvzJ0xxziuBJ3Vtnw98MslM/63+V+AIWhLjxbR/85cAT+lPRlTV92jX9iFgAe2zeh5wX1qB6GfMMAZJkiRJkiStYTLzB1klSaujJMuAHaoq8x3LqJIsX7hw4cLly5fPdyiSJEmSJElrhUWLFrFixYoVVbVoun2dcSBJkiRJkiRJkiaYOJAkSZIkSZIkSRMsjixJq7kkBwCbjtB0WVUtm9NgJEmSJEmStNYzcSBJq78DgK1HbLusqhbPXSiSJEmSJEla25k4kKTVXFUtmO8YJEmSJEmStO6wxoEkSZIkSZIkSZpg4kCSJEmSJEmSJE0wcSBJkiRJkiRJkiaYOJA0p5IsSFJJlo7Yfq+u/V5zG9mqlWRpd10L5jsWSZIkSZIkaTIWR5YkSdKsWHDQcfMdgqQpjB2663yHIEmSpDWAMw4krW6+Atyr265NXku7rrPnOxBJkiRJkiRpMs44kLRaqaqLgIvmO47ZVlXnAufOdxySJEmSJEnSVJxxIGmV6eodfD7J+UmuTPKzJE/oazOwxkGS+yX5XJKxJFcl+VuSFUkOS7JhT7slXf/FSfZMcnKSK5Kcl+SIJHcYENeiJO9NcmqSC7rYfpfk3Uk2G9B+IsYkOyZZluSSJBcnOS7JvQb0GVrjIMm2SY5OcnZ3becm+XaSf53eJzwxXnUxbZnkM921X5FkeZJnTdJvpyRf734/VyX5Q5L/TLLpgLZj3evWSf6r+/maJEtmErMkSZIkSZJWH844kLSqbA38BPgj8BngNsDTga8meUxVfX9YxyT3A34MFPA14Azg1sDdgf2BNwDX9HV7OfA44Gjgm8D2wN7A4iQPqaq/9bTdD3gScDzwXVpSdRHwCmDnrv0lA0J7ArA78A3gI8C9gV2ABye5d1WdP9WHkmQ/4MPAdd21/Q7YAnhQd21fmGqMITYDfghcCHwS2BT4V+DIJHeqqv/si+NgYAlwAfA/wHnA/YBXAbsk2a6qLu47x0bA/9J+l98GLqb9biRJkiRJkrQGM3EgaVVZDCypqkPGdyQ5inZT/0BgaOIA2BO4GbBHVX2190A3I+DyAX12Bh5SVSf3tH0PcABwKPC8nrZvB/69qq7rG/t5wOG0G/jvGHCOPYCdqup7PX3eDhwE7AO8c5JrIsm9gQ/Rbrg/oqp+1Xd8q8n6T+F+wBeBZ1TV9d14hwLLgbcm+XJV/bHbvyMtafAjYJequrAnhr1oiYdDaMmYXncETgN2qKrLRgkqyfIhh7YZ6aokSZIkSZI051yqSNKqcibwlt4dVfUt4E/AtiOOcUX/jqr6x/iN8T6f6U0adJbQ6ic8K8nGPWOc2Z806BxBu6m/05B4Pt+bNOh8rNuOck0voiVw/6M/adDF9ecRxhjmOuA1vZ9NVZ0BvA/YEHhOT9uXdtv9epMGXZ+lwCnAvw05zytHTRpIkiRJkiRpzeCMA0mryilDbs6fBWw3Rd+jgZcBxyT5Em05oROr6g+T9Dm+f0dVXZTkFGAH4F60G+J0NRJeADyDttzQJtw4sXqnIef42YB9Z3Xbm9RGGOCh3fYbI7Sdrj91iYJ+y4CDgQf27NuOttTT05I8bUCfjYDbJdm8qv7es/9K4OfTCaqqFg3a381EWDidsSRJkiRJkjQ3TBxIWlUuHLL/WqaY/VRVP0nyCOD1wFPpnpZP8lvgkKr63IBufx0y3F+67SY9+46m1Tj4I/DVrs1V3bEDgI0Z7MIBsV6bBGD9IX16bdptzx6h7XRN5/o3p/1/cPAUY94K6E0cnFdVNbPwJEmSJEmStLoycSBpjVBVPwKe0C0xtAh4PPAS4Kgkf6uq7/Z1uf2Qoe7QbS8CSPIgWtLgu8DOVXXteMMk6wGvnr2ruIkLu+2dgN/M8tgjXX/Pz+tV1W2meQ6TBpIkSZIkSWshaxxIWqNU1VVV9cOqehM3rM2/+4CmO/TvSLIJ8ADaEju/7nbfvdt+rTdp0NkWuPlKBz3cSd125zkY+y5JFgzYv7jb9tZ/OAnYLMl95iAOSZIkSZIkrWFMHEha7SV5WJJBN/DHn6q/fMCx5yR5YN++JbQlej5XVeNLEY1128V959wC+OBM4p2GD9OWanpjknv3H0yy1UqMvT7wjm7WxPh4d6UlW64FPtvT9j3d9uNJthwQxy2TPLR/vyRJkiRJktZOLlUkaU3wauBRSf4POAO4FLgP7Un9fwAfG9DnG8CJSb4AnAts373GgIN62v0UOBF4cpIfAifQEhI7A78FzpmD6wGgqk5Lsj/wEeDkJF8FfkerOfBg4GJgxxkO/3PgIcDyJN+m1VP412776t7C0lX1vSQHAW8Hfpfk67TP+VbA1rTZGyfQloeSpKHGDt11vkOQJEmSJM0CEweS1gQfoiUIHkK7+b8B8Odu/7ur6swBfd4DfIVW3PjptGTDUuB1VXXeeKOqui7JbsBbgF1oT+SfDRze7TttTq7ohvN/PMkvgVfRZj3sAZxPu/F/+EoM/Q9a8uOdwN7ArWnX8q6qOmpAHO9IciLt+renLf90Ee2z+Bhwkz6SJEmSJElaO6XK2paS1h5JlgAHAztW1bL5jWZ+JCng+KpaPN+xjCrJ8oULFy5cvnz5fIciSZIkSZK0Vli0aBErVqxYUVWLptvXGgeSJEmSJEmSJGmCiQNJkiRJkiRJkjTBGgeStBpLsimtTsMollbV2JwFI0mSJEmSpHWCiQNJa5WqWgIsmecwZtOmtJoNo1gGjFVV5iwaSZIkSZIkrfVMHEjSaqybQWAiQJIkSZIkSauMNQ4kSZIkSZIkSdIEEweSJEmSJEmSJGmCiQNJkiRJkiRJkjTBxIGktUaSZUmqb9/iJJVkyTyFJUmSJEmSJK1RLI4sSZqWLglzMLBjVS2b32gkrS4WHHTcfIcgaQRjh+463yFIkiRpDeCMA0mSJEmSJEmSNMHEgSRJkiRJkiRJmmDiQNJqL8lDknwpyV+SXJ3krCQfTbLlKjj30q5Gwt2SvCLJb5JcmeTPSd6T5NZD+m2V5ANJ/pjkqiR/T/K1JA8e0HZJd47FSZ6V5MdJLk0y1tPmFklek+RnSS7pjv/6/7d333F2VPX/x19vQlcgFAEBISAdpSR0gQSpGpEuFoSA8qUKAUSKhSAiAfVHL6JCQLqAFOktSEcSQotUWQi9hg4h8Pn9cc5dhsnc3bub3b27y/v5eNzH5M6cOefcmdm7m/OZ+RxJx0taoFTf7JIOljRB0ru57J2SflDRduscEJJWlnSlpMmS3pN0i6S1S+VbSGmKAG7O+0Z5bgkzMzMzMzMzM+u7PMeBmfVqknYGTgM+BC4HJgFLAT8FNpO0ZkQ80wNdOQZYD7gQuAzYBBgJrCtpnYj4oNDnwcB1wDzAtcAlwHzAFsBtkraMiKsq2tgf2Ai4ArgZmCvXN3d+vxLwKHA6MAX4KrBTrv+lXHYgcBOwCjA+l50h9/dcSStExK8q2l4V+AVwJ/BXYFFga+BGSStHxKO53LH5cwwFzgRa2jtwZmZmZmZmZmbWtzhwYGa9lqSlgVNJg9NDI+K5wrYNSIPzxwFb9kB3vgGsHBFP5/YPBv4BbAUcABye189ICi58kTR58C2FPi8E/Af4m6RBEfFhqY1vAmtFxH2l9SeRgganAntGxCeFOr8IDCiUPZYUNDgwIo4ulJsVuBQ4RNJFETGh1MZwYKeIGFPYZ9fc5j7AHgARcWwOTgwFxnR0cmRJ4+psWrYj9ZiZmZmZmZmZWfdxqiIz6812B2YC9ikGDQAi4kbSEwibSZqjB/pyXC1okNv/hBQw+ATYuVBuOOlJgBOKQYO8z/PA0cCCwAYVbZxWDhpImh/YDngB+HkxaJDrfCci3sxl5wW2B+4tBg1yuQ+AAwEBP6xo+/Zi0CA7HZgKrF5R3szMzMzMzMzM+ik/cWBmvdlaeTm0am4AYH7S3fZLA/XuZO8qt5RXRMT/JE0CBkkaGBGT+bTPi0kaVVHPUnm5HFBOV3RPRfnVSEHef0fEu+30cTXS8Yg6bc9UaLvs3vKKiPhI0kvA3O2027CIGFK1Pj+JMLir2jEzMzMzMzMzs85z4MDMerN58/KAdsp9sbs7Qp5DoMKLwGKk+Qgm82mft22nvqo+v1ixbmBePlexrazW9mr51ZG2J9cpO5XPpkIyMzMzMzMzM7N+zoEDM+vN3szLuSLirab2BBYgTUxctmBevllabh4Rl3ewjahYNzkvF25g/1rbx0TEfh1s28zMzMzMzMzMDPAcB2bWu92Vl+s2tRfJ0PIKSUsAXwFacpoi6Po+30OaR2E9SV9osGx3H6+P89JPIpiZmZmZmZmZ9UMOHJhZb3Yi8BFwjKSlyxslzSypp4IK+0harND2DMAfSN+jZxTKXQY8Cewp6dtVFUlaS9LsjTQaEa8A5wNfBv6Y2y3W9UVJc+WyLwPnAKtK+rWkaQb2JX1V0uKNtN2G1/Jy0emsx8zMzMzMzMzMeiGnKjKzXisiHpG0M3A68LCka4DHSJP8Lkq6s/4VYNke6M7twARJF5BSAm0CrESalPnoQp8/krQVcC1wpaQ7gAnAe6SnE1YDliAFAt5rsO29gK8BuwHDJF0LTAEWz/34LjC2UHYp4LfAjyXdRpqfYSHSpMirAT8AnuroASi4mfRkw5GSvga8ARARv5uOOs2sj2sZPbzZXTAzMzMzM7Mu4sCBmfVqEXG2pPuB/YH1gY2Bd4HngYuAC3qoK/sCWwK7AINId90fB/wmIj4o9fkBSSsB+wHfAXYiDbS/ANwHHAq82mjDEfGGpLWBkcB2wP+R0gVNIgVVJhbKviVpaC7zQ2BrYFZS8ODx/Dmu79Ann7Y//5W0I/BzYI9cP4ADB2ZmZmZmZmZm/YAiqubiNDMzAEljgB2BxSOipbm96b8kjRs8ePDgcePGNbsrZmZmZmZmZmb9wpAhQxg/fvz4iBjS0X09x4GZmZmZmZmZmZmZmbVy4MDMzMzMzMzMzMzMzFp5jgMz+1yRNII0R0F7JkTEpd3aGTMzMzMzMzMzs17IgQMz+7wZAQxtoNyZwKURMSLvY2ZmZmZmZmZm9rngwIGZfa5ExLBm98HMzMzMzMzMzKw38xwHZmZmZmZmZmZmZmbWyoEDMzMzMzMzMzMzMzNr5cCBmZmZmZmZmZmZmZm1cuDAzPo1SSMkhaQRze6LmZmZmZmZmZlZX+DAgZmZdYikMTkYM6jZfTEzMzMzMzMzs643Y7M7YGZmZmZda9BBVza7C2bWS7WMHt7sLpiZmZlZH+AnDszMzMzMzMzMzMzMrJUDB2bWaZK+K+lGSS9I+lDS85JukbRHoczYnNZmFkm/k/RULvukpEMlzVyn7mVzSpxJkqZIeknSuZKWqVN+SUn/kPSGpHcl3SFpum+p64n+F1L/LCHpZ5IekPS+pLGFMvNIOkLSQ5Lek/SmpPsljZb0hVJ980g6UtJ/cz1v5vO0cUXbrXNASFo/f963Jb0l6UpJy5XKB7BjfvtU3jcktXT86JqZmZmZmZmZWW/kVEVm1imS/g/4M/AicAXwKjA/sCKwE3ByaZcLgdWAi4CPgM2BUcCqkr4bEVGoe1PgEmCmXPcTwCLAVsBwSetHxPhC+aWAO4F5gauBCcCSwKX5fVfotv4XHAesC1wJXAV8nOtbHLgZWAwYB5xCCvwuDewLnAq8m8suBowFBgG3AtcAXwC+A1wjadeI+EtF29/Jn+nqXN/ywLeB1SQtHxGv5nKHAVsAK+X+Ts7rJ2NmZmZmZmZmZv2CAwdm1lm7AlOAlSLi5eIGSfNVlF8OWCEi3shlfkkaDP8OsD3w97x+buA84D1gvYiYWKj3a8BdwF+BwYW6TyIFDUZGxHGF8puTggddoTv7XzMYWCUiniqtP4cUNDgkIo4sbsjH+p3CqjNz2R9ExPmFcgNJAYXjJV0eES+V2tgC2CQibizscyRwELAzcDRARIzKkyKvBBwbES0Vn8PMzMzMzMzMzPowpyoys+kxlXT3/WcU7k4vOrw26J7LfAAcnN/uXCi3AzAQOLQ46J73eQj4C7CKpOUBJC0CbAQ8BZxYKn8ZcEvHPlJd3dL/kqPLQQNJQ4C1SE9RHFXeISJezX1B0krAUODiYtAgl5sMHArMCmxd0fb5xaBBdlperl5RvlMkjat6Act2VRtmZmZmZmZmZjZ9/MSBmXXWOcCfgImSzicN0N8eEa/UKV81gH8bKR3PKoV1a+XlSpJGVeyzdF4uB0ws7HtbRHxcUX4saTB9enVX/4vuqSi/Zl5eGxGftNPHWttz1Wn7S4W2y+6tWDcpL+dup10zMzMzMzMzM+tHHDgws06JiP8n6VVgD2BvYCQQkm4BDoiI8kB0OTUOETE11zF/YfW8eblLO134Yl7OVa/+7MV26mlUd/W/qKqvA/PyufY6WGh7o/zqSNuTyyvy5wMY0EDbDYmIIVXr81MHVembzMzMzMzMzMyshzlwYGadFhFnAWfl/PlrA1uS0vZcK2nZ0tMHCwDPFPeXNCMwH/BWYfWbeblSRDzQQDdq5Reos33BBupoRHf1vygq1k3Oy4Ub2L/W9j4RcXwH2zYzMzMzMzMzMwM8x4GZdYGImBwRV0XELsAYYB5gvVKxqnRB65DuZr+vsO6uvFy3weZr+64jqerO+GEN1tOe7up/e2r1bSKpve/srm67nlpKqC57EsHMzMzMzMzMzHoPBw7MrFMkra+cx6aklrbnvdL6X0tqzZUvaVbgyPz2jEK5M0h32R8qaZpJeSXNIGlY7X1EPAtcDywO7FUquzldM78BdFP/2xMR44A7gJWBAyvqmzf3hZwe6lZgK0k7l8vm8l+XNH/Vtg54LS8Xnc56zMzMzMzMzMysF3KqIjPrrH8C70i6C2gBRLrTfTVgHHBDqfx/gYclXQR8BGwOfBW4Evh7rVBEvCZpm1z/XZJuBB4mpfH5CmkC4HmBWQt17wncCRwraWPgfmBJUuqkK4DNuuDzdmf/27M9aZLn30vaOv9bwFLAxsCypHMA8EPgJuBvkvYG7iYFMhYBVgS+lvvwcgfaL7sROAD4i6SLgbeByRFx4nTUaWZmZmZmZmZmvYQDB2bWWQcBm5AmtP028AHwNOmu+FMi4qNS+e8BvwZ+BCxEmux3FDA6Ij6T2z8ibpS0IvDz3Ma6wBTgedKg+MWl8o9LWhMYDWxISk/0ALAF8CW6JnDQbf1vT0Q8JWkw8AvSZ9qLdLxbgD9RCAJExLOShgA/A7bO/R1Amnh5InAC8GBH2q/oz7WS9idNAD0SmJl07h04MOslWkYPb3YXzMzMzMzMrA9TabzLzKxLSRoLDI2IqrRGvV5f739fIWnc4MGDB48bN67ZXTEzMzMzMzMz6xeGDBnC+PHjx0fEkI7u6zkOzMzMzMzMzMzMzMyslQMHZmZmZmZmZmZmZmbWynMcmNnniqSRwMAGio6NiLHd2hkzMzMzMzMzM7NeyIEDM+tWETGs2X0oGQks1mDZsb2w/2ZmZmZmZmZmZt3KgQMz+1yJiEHN7oOZmZmZmZmZmVlv5jkOzMzMzMzMzMzMzMyslQMHZmZmZmZmZmZmZmbWyoEDMzMzMzMzMzMzMzNr5cCBWTskhaSxze5HbyapRVJLs/vRLJKWkvRPSS/m62Vys/s0vSSNyJ9lRLP7YmZmZmZmZmZmPatfBQ7yIFfx9bGk1yWNzYNganYfu0tfG7iV9LCkB3ugncfytXBHd7dl3UvSzJJ+J+kpSW9KulnS4DplN8zn/Ts90K8BwKXAt4F/AYcBo7u7XTMzMzMzMzMzs+4yY7M70E0Oy8uZgCWBLYGhwKrAXs3qlCWSlgaWB37bze2sDywFBLCWpK9FxEPd2aZ1q9HAvsDFwLPAj4GbJS0bES/UCkn6IvAX4JyI+FcP9Gtx0vX8l4j4vx5oz8zsMwYddGWzu2BmfUjL6OHN7oKZmZmZ9QH96omDmogYlV+/jIjtgPWBT4A9JC3e5O5ZCuQA/LOb26kN4h5Vem99TH5aaFfgjIjYJiJGAlsBc5ICCEWjgdmAfXqoewvl5fM91J6ZmZmZmZmZmVm36peBg7KIuB14BBAwpLxd0hqSLsr5yadImiTpz5IWmqayVH41SddJelvSW5JukLSWpFE5Pcqwin2WlTQm1z1F0kuSzpW0TEXZMbmeQZJ2lfSgpA/yPqdJmqtQdpikABYDFiulahpTKLeupCskPSvpw/xZ75J0aHvHT9Iyub5zSusXL7S1bmnbUXn9Nyuq3BJoiYgJpX2+J+nfOQ3N+/lzHyxplvb6WNHneXM7jwO/Bl4Etpc0a53yM0v6taQn8/F5KqfFmaZtSafmz7Z5nbrWyNsvKqxbWtJoSfdKeiW38XQ+n4tU1DEs1zFK0sqSrpQ0WdJ7km6RtHadtgdI2k3S7YXj+ISkv0paqlR2Rkl75OvgrVz3fZL2kjTNd4OSvZTSTH0g6TlJJxavx270JWB24J7Cutq/Fyv0cV1gD2CviHits41JGiLpYkkvF87VyZK+XCoXwC357aGFn4dRDbQhSftImlg+nqpIPabCnAOSNlVKwfZm7kOtzBaSzlZK0fVufo2TtHfVOc37LCnpH5LeyOXvkFT3VkRJK0o6L/fxw3w9j5d0rKSZ2vvcZmZmZmZmZmbW+/XXVEVt+aj4RtLOwGnAh8DlwCRSepufAptJWjMinimUXw+4DhgAXAI8CXwduBm4qapBSZvmsjMBVwBPAIuQ7pgeLmn9iBhfsevRwCZ5n+tIT07sQkq/VBuQbyGlZhqZ3x9b2H9Cof0rgbfyZ3wOmAdYjjTIehhtiIhHJT1XaLNmg9K/by29/wD4zNwCkhYGVi/1E0m/Bw4GXgXOBd4BvgX8HthE0sYRMaWtfpbsCMwCjImIqUpBj/2BbYG/l9oWcCGwOel8ngjMDOxMOrdlZ5Luft8BuKxO2wBjCuu2AnYjXSd3AFOAFfj0Ols1Ip6rqGtV4BfAncBfgUWBrYEbJa0cEY8WPsfMpBz7G5Gu43NJ53wQKYhyGymQQh7gvYJ0fT2ay35AusZOANZg2jv5jwX2Bl4g/cx8RDpma5COV0fOT0e9CrzPZwN/q+bl0wCSZgP+BlwSERfRSUrzIlxMCjRelOsfAuwObC5pnYh4Khc/jHR8dyQFEMbm9WNp30m5zudJx3MK8F3Sz8dMlL6rCrYBNgWuBk6lEDghPW3xCXA36ed8LtLP7XHAapTOaQ4m3QnMm+ubQPp+uTS/p1R+xVx3kL5LniI99bEk6bvkV23028zMzMzMzMzM+ojPReAgD/YvSxqYu6ewfmnSwFsLMLQ4cCtpA9Jg/XHk1Dr5jt2/kQakvx0RVxfK7wacUtH23MB5wHvAehExsbDta8BdpAHhqkle1wS+XgtcSJqRFJxYX9LqEXFPRLQAoySNgJSmqaKeXUhPlwyLiPtL/ZuvonyVm4AfS1ohIh7O6zYgDeg+m/89qvCZVwHGRsQHpXq2IA3IXlLow1qkoMEkYPWIeDGvP5iUzug7wM9JQYRG7UIaQD0rvx9DChz8H6XAAfAD0gD4XcD6tT4rPY3xn3LFEXGnpMeA70iaJyJeL3yWWYDvAy8D1xR2+ztwTER8WKxL0sakAdpfkQaRy4YDO0XEmMI+u5Ku231Ig7U1o0hBgyuAbYtt5X7NWSj7S1LQ4ERgZER8nMsNIA1i7yzpooi4LK9fmxQ0eJJ0jl7P639JCoZ8mTyA3x0i4hNJpwF75yccniMNgr8F1J6EOZw0AL5nZ9tRmh/hTNJ347CIuLWw7UDSwPyfgY1zv0YpPWG0I+l6H9VgO+uSzvdjwBoRMTmvPwS4gZT+qN7x/Dbp++eaim3DI+LJUlszAGcAO0g6MSLuLmw+iXTMRkbEcYV9NicFD8p2BGYFtqhdG4V95iZ9z5mZmZmZmZmZWR/XL1MVKaV3GSXpCEkXkAbiBPy8OIkqaeBuJmCf8t3eEXEj6Y7azSTNkVevTbqz9uZi0CA7jTQIWLYDMBA4tBg0yG08RJrEdRVJy1fs+9vi0w4RMZU0AAjpruSOer+8IiJebXDfG/Oy+JTBN0kBhRuANSR9Ia9fn3Rt3ci0tiQNqhefRNg5L39XCxrkvk0lDfZ/QrozvyF5UHZZ4IaIeDbX9RAwDlhH0nKlXXbKy0OKgY48OH54nWbOJN1l/4PS+s2AuUkT804t1PVcOWiQ118HPEwaxK9yezFokJ0OTKVwDeQB/z1I53i3clsR8WFEvJLLzgD8jJS+ad9a0CCX+5h0zAP4UaGK2jE6ohgoycfr4Dp972oHkuarWB34Cem4bRgRz0lanfTUzT7AK/nn/wVJU3Oqnm802MbmpKdxLigGDbI/kYKMG0ladDo/S+2plCNqQQOA/FRNe8fzsjpBA8pBg7zuE1IAFArXmVKKrI1ITw2cWNrnMj5NwVSl6rvkjdxWm/L5mOZF+pk1MzMzMzMzM7NeoL8+cVDO2x/ATyLijNL6tfJyqKTVKuqZn5SSaGnSoPMqef1t5YL5jug7ctmqNlZSdd7zWvnlgImlbfdWlJ+Ul3NXbKvnHFKqnLtzIOVm0oD0sx2oo5aGaQPg+Py0xPyk4MAk0hMB65Hunv9maR+g9Y7koaQJbosDjIOrygNExGOSngUWlzRXRLzZQF9rkyCXz/cYUsqZXYD9Su1/QsV5pX7KmbNIQYUdSXdt11SlKaqlQ/oRMAJYiXT+BhSK1EvzM801EBEfSXqJz14Dy5LS0twdEe1N0rs0aXD8ceBXqWvTeJ90TdbUzlHVYPJtwMcV6ytJGkkKphVdWp7zoiwHQw6mNLCeUzSdAVwTEWfn+g8lpRG6nfR0xTWSloyIl9rpXlvX4lRJ/yalJloFeKZcpgPqfpeQnnyZWrG+5p56G5Tm9jiA9FTCEsAXSkUWrupDMXhUMJb081p0ASk4c6nSHB43kL5LpglYmJmZmZmZmZlZ39UvAwcRIYB8B/xapPRCp0p6OiKKA4Lz5uUB7VT5xbysTQJbb/Cxan2tjV0abKNocsW62oDigIptlSLikpy3fX/S3f27QrrzFzg4Iq5voI5Jkh4nBVkG8OmTBzeS7lz/KK+7Oi/fYto0P98lXXP/LK2vHdcXqPYCKbf/QKDNwEEOTmxDOnaXljafS7prfAdJBxfuyp8LeD0iqnKzv1ixjoh4VtKNpLvPl4uI/0qan5R7fkJEPFDa5f+R7oh/AbiWlGqndtf2CD6bp75ocp31U/nsNTAwL6vmSSirXZNLMW2Qrah4Tda99vOAeqNPrkA6DuXP20Kek6MTfkMaEN84vz8AuLGWNkjSo7n+PXPZtjRyLcK0gY+Oaut4fiyprYmdK69JSQNJP3OLk4ILZwGvk66VgaQB/+Jk3+19n03TTkTck5/o+SXp5+zHue1HgcMi4rw2+l2rY5oJ6nMd46hO2WZmZmZmZmZmZj2sXwYOaiLiXeAGSZsB44EzJS0TEbU83LVB6Lki4q0GqqyVWaDO9qr1tTZWqhhM7jERcSVwZQ6mrEGaN2B34F+SVimnUarjJlLQYTVScODp2p3Gku4BNpS0EOnu939V3MW8JekYllMY1Y7RgqQc+mVfLpVryw6kHOyzAu/XuZt+XtIEw+cW6p1H0kwVwYMF22jrTFKqlx2Bg0hPFMyY17fKAYW9gYeAtSPi7dL2crqjzpiclwu3VSirHcd/RsRWDdZf22cB4H/FDXnujflIc120KyIGNdhmuyStTEphtHtOWTQnaX6A2rwHRMQzObCxQgNVFq/FKh25FttS/C4pH88BpGu0XhAo6qz/KSlocFh5roU8j8g+pfLFc1ql8hhExJ2k+T1mIT3Bsykp9dW5kl6JiBvq1GdmZmZmZmZmZn1Ev5zjoCwP2P8FWATYt7Dprrxct8Gq7svLdcobct74tSv26WgbnfUxDTyFEBHvRsRNEbEfabLhmYFvNdhGbcB/E1JaohtL21YEtiuVBUDS7KQ7wq/MedyLasd1WLlBSUuSzttTxVzwbag92XEe6UmT8uuiUjlIQaUZqDivVX0quIQ0ALx9Pv87ku7uPrdUbolc/3UVQYNF8vbp9QgpeLBiDt40UnZNSTM1WP/4vCynroF03Bp+Aqar5IDFGaRJif9a2jxL6f2sDVbb1rU4I5/+HI8vb++gut8lpEnROxPUXTIvL67YVnXeWvuQgxVlw9pqLM+bcUdE/IYUGIM0R4SZmZmZmZmZmfVxn4vAQfY74EPg5zmdDaQJQT8CjpFUnpsASTPntBw1t5PuiF9fUnmw/f+Ydn4DSAObk4FD8wSu5TZmkDSsYx+l0mvAlyTNVtHGennQs6x2p/F7Fduq3Ey623kPUpqTYnDgJtIE1AcV3hdtCszGtGmKIE32Cynf/pcK/R4A/JF0nf6tvc5JWpt0V/nEiPhhRPy0/CIFNp4GhklaKu9amwvhCEmzFuqbB/hVvfYi4n3gQtJd/vuS5i64KiJeLhVtycvPDNBK+iIpoDXdT/7kpztOJh3jU/Pd4K3ytfylXHYqcALp7vnj61wzXy5N2D0mL3+Zj0ut3KzAkdPb/046iDRY3hoEyk8OPQdsWrvmJQ0F5iBNptyeS0npfX4gac3StpGkO/pvKE5a3kln5eUvJdVSBtXma/h9J+tsycthxZWSVqFiwuU8x8n1pM+0V2mfzakINkhau+p6oePfJWZmZmZmZmZm1ov161RFRTmNyamkdB2/IOX2f0TSzqSB64clXQM8BsxEyqm/LvAKKfVObQLknwLXAJdLupgUSFiRlLLmatLd+58U2n1N0jakAfO7cl78h0kD8F8hzcEwL43fEV3PjaQUQtfkCVw/BO6PiCuA44GFJd1OGlycQkox8k3SIPr5jTQQEa9KeoA0QA6fDQ7cSRo0nJ90zB4s7b4V8AHpGJXrvUPS0aTz8lCedPVd0rH8GmkC2T800MXapMh1gwz5HJ4BjMrlDyA9nbAdaQ6GhyRdRroGtiHljP9qG22eSUoRc2ThfbnNFyWdD3wfmCDpOlLgZSPSMZkArNzA52vPYaQ0VJsBj0n6F/A26TrbmPRZx+Syh5PO427AZpJuIg24z0+a++AbpDz2E/NnuF3SCaSUNLVz9BHpDvM3qD8nQLfIQY1fA/tHREtp89HAccCtku4mpZB6h89OYl0pIt7J3wn/AG6R9A/SJMhDSMfwRfIcIdMjIm6RdBrpGnw4f5d8RDp3bwLPU/geadBZpHN8rKT1SZNfL0VKS3YJnz4NVLQn6Wf3WEkbA/eTgjFbAlfk/hT9AvimpFuBp0jHdQXSz+obwGkd7LOZmZmZmZmZmfVCn5vAQXYk6e7kvSUdGxEvRcTZku4nTRy8Pmlw8F3SwN1FwAXFCiJibL6D+XfA8Lz67rzvj/L7t0r73ChpReDnpDQ/65IG758nDb5XpRbpqN+RJkDdjDToO4A0iH0F6Q7mLYFVgQ1JA5LP5PXHRsQbHWjnRtKA88SIaJ08NSKmSLqNdPxujojWPOw5Hc5w4PqIeKeq0og4UNJ9pDufdyAN3D9JuuP/TxXpjT4j37W9Lem4ntVWWVKg6DfAjpJ+mfu+LekO9hG5Dy+QnkT4LWlwv1JE3CbpCdJg6+vAv+oU/Qkpl/12pMHaV4DLcz+64vzXzsGmpGDADqTUSSJdZ/8kBWBqZT+StAWwPekzf4c0GfIrpAHhX1OYJyDbhxRY25M0eP5arvcQ0oBzj8hPbZxO+rmrCgacAMxJOg6Dc9/2jYh6kwB/RkRcJukbpM+1CSnI8yJwKnB4RDw/3R8i2Z2UNmrX3Nfi8XyW6vk+2ur38/kJqdGkFEib5Pr3AG6gInAQEY/nJytGk74bhgEPAFsAX2LawMHJpADBGrmNGXNfTyb9nD7dkT6bWddoGT28/UJmZmZmZmZmHaDC+K5Np3xH/xqkyZbfbXZ/eot8J/O1wM4RcUZ75c0+z3IKrceA8yOiKybO7hMkjRs8ePDgcePGNbsrZmZmZmZmZmb9wpAhQxg/fvz4iBjS0X0/T3McdAlJs0saWLF+BGly5OscNJjGlqTJm69odkfMegtJC+ZJtYvrZgeOzW+r5gMxMzMzMzMzMzPrdp+3VEVdYVHgPknXA0+QjuEqpLQdk0kpj6wgInYnpWUxs0+NJE3CPJaUGmtBYANgEdJcIP9oWs/MzMzMzMzMzOxzzYGDjnuJlPt9KGleg1lI+c/PAI6IiA7lJTezz63rSfOFbAzMA0wlpSg6njT3iPPImZmZmZmZmZlZUzhw0EF5IuGfNrsfZta3RcSNpMnGzczMzMzMzMzMehXPcWBmZmZmZmZmZmZmZq0cODAzMzMzMzMzMzMzs1YOHJiZmZmZmZmZmZmZWSsHDszMzMzMzMzMzMzMrJUDB2ZNImmUpJA0rNl9sbZJWlDSmZKelfRxPm8Dm9ifsZKiWe2bmZmZmZmZmVn/5sCBdVoePC2+PpT0iqTxkv4q6VuSBjS7n/2NpNkl7Svp35JelTRF0guSrpC0rSR1UTuD8nkd0xX1NdDeDJJGSnpU0tuS7pa0YZ2yy+frba+e6BswBvgxcAvwO+Aw4IMeartXkjQiXx8jmt0XMzMzMzMzMzPrWjM2uwPWLxyWlwOAgcAKpEHWnwD3SvpRRDzWpL71K5JWAK4AFgeeBi4GXgMWBYYD3wGul/S9iJjcrH520l7AMcD1wL+AbYGrJa0aEffXCuVg1OnA3cBJ3d0pSTMDGwE3RMSPurs9M7OOGHTQlc3ugpn1MS2jhze7C2ZmZmbWBzhwYNMtIkaV10laADiBNPh7Qx78fbmn+9afSFqQNKj+ZeBI4DcRMbWwfR7gXGAT4EJJm0bEJ03pbOfsDtwcERsDSDoReALYFdijUG5fYEVgpYjoiXQ9C5Keznq+B9oyMzMzMzMzMzNrOqcqsm4RES8B3wfGAl8BDilur+VolzSzpN/k9DQfFtPiSBoi6WJJL+dtT0s6WdKXy+1JGpPrW0LSfpIekfRBzkl/jKQ5K/Zpya+5JJ0o6bm8z0RJe9dL+SNpDUkXSXoxpwmaJOnPkhaqU36IpGty+p23JN0gaa2OHM/sd6SgwfkRcUgxaAAQEa8DWwP/I90h/4NSP0LS2Dp9rB2/Qfn9KOCpvHnHUkqqEZ3oeyMWA+6pvYmIp4BX8/paP5cCfksKmjze2YYkLSXprHzOp0h6Pr9fqlSuhfRkB3z2OIxpsJ1lJZ2er7MP87V8q6TdK8pukK+T13PZxySNljRXG/XPKOkQSY/nfSZJOio/JVFVvuE22voZzdfRGbnoGaXrY1Ajx8bMzMzMzMzMzHovP3Fg3SYiPpH0O2AY8ANJ+1bcIX4xsBpwNXAp8DKApO/kbQIuIg3eDiHdlb65pHXywHLZMcB6wIXAZaS770cC6+Z9ynnpZwZuIKVYOj+/3xo4DlgG2LNYWNLOwGnAh8DlwCRgKeCnwGaS1oyIZwrl1871zwxcQrqDfmVSQOWm6iM3LUmzAdvnt7+tVy4i3pX0J1IKn/8Dzmm0jZKxpGOyD3A/6dzUTOhkne15hnSOAZC0GDAfeeA+B3L+BjxIOs+dImk10jmZg3QOJwLLko7v5pI2jIj/5OLHAoOY9jhMaKCd4cA/gFmAa4DzSMd0JeAXwCmFsrvm9+/mfV4m/dwcSLquvlEn9dS5wLqkn5+3gG/nuucHdir1p7NtVP2MjgUmA5uTfs6Kx6OqDjMzMzMzMzMz60McOLDudhswlTSQOYhP72KvWQz4WkS8Wlsh6YvAmaTrc1hE3FrYdiAwGvgzsHFFe98AVo6I2mDzwaRB0q2AA4DDS+W/TLpD/2sR8WHe51DgP8Aeki6IiH/n9UsDpwItwNCIeK7Qrw2A60gBhy3zOpFy8c8GbBERlxXK70MalG7UqqQB6Ocj4r/tlL0+L9eUNCAiPu5AOwBExNh8t/0+wISqdFTd4FTgGElXAw8D2wBBCtRACuKsAazSmc8ErefkLGBOYPuIOKewbTtS8OjvkpaPiE8i4th8B32HjoOk+UiD+jMC34yIW0rbFyn8ezHgeOAdYPWIeKSw7WRSsOxoUiCo7KvACvlpEyT9khTg2EHSwRHxYhe0Mc3PaN4PUuDg0ogY084hMTMzMzMzMzOzPsSpiqxb5cH41/LbL1UU+XV5QJI0GDkPcEExaJD9iTRwv5GkRSvqO64WNMjtf0IKGHwC7FynmwfXggZ5n9f5NMBQvGt7d2AmYJ9i0CDvcyPp7vXNJM2RV69Nemrh38WgQXYi8GSd/lSppWea1EDZWpmZgXk70EazHU86V0sCuwGvAMMjYkIevD8SODwiJkraPaf/+VgpLdXmDbaxNunpgjuLQQOAiLiAFOhaBlhnOj/LjqTgxCnloEFu69nC2+1J5+rE4oB+9kvgbeDHkmapaOfAWtAg1/su6SmTGUjBpq5oo+pntNMkjat6kc6LmZmZmZmZmZn1An7iwHpCba6Aqols76lYNzgvp0nlExFTJf2b9PTCKqT0NkVVg7T/kzQJGCRpYCkdy1Tgjoo+jM3LVQrravMSDM3pbsrmBwYASwPjCp+jqk8fS7qNdMd4v5LnQBhUWj02Isa2tV8O8vwxv8r+QkrzNFrSFsDJpLQ7F5OCDBdLWiUiHmyne3WvrcL6dUjn/d/t1NWWNfPy6gbKtnW9vyHpPlL6rWVJTxMU3VtRXy1wNHcXtVH1M2pmZmZmZmZmZv2YAwfWrSTNSnp6ANId5GUvVqyrTdT6Qp1qa+sHVmx7qc4+L5JSrszFZ3Owv1on7U2tX8VJY2t37x9Qp42aL5b2batPjaqV/UoDZWtlpvDp0x49aQQwtGL92M5UJumnpFz8q+fA0QGkIMKeERGS7iKlrToA2KGd6qbn2uqI2v7PtVUo63Sf6sxJUJs0e0BXtEHHrtN2RcSQqvX5qYPBVdvMzMzMzMzMzKxnOVWRdbd1SAGqlyKipbyxYrJkgDfzcsE6dX65VK5ogTr71Ooq7zOfpAHlwnXK1/49V0SojdctpfLt9akR/yFNyLyQpOXaKbthXt5VCooE9YOFAzvQlzZFxLCKYzKqM3VJWpj0BMJREXFfXr0ccF/t2snpeR4FVmigyum5tjpicl4u3EDZnuhTp9uo8zNqZmZmZmZmZmb9mAMH1m0kzUDKnw5pothG1QaIh1XUOSOwbn47vmLfae50l7QE6S78loo7tGck5b0vq7V9X2HdXXm5Lo2p9a+qTwPoQB79iHifT4/hr+qVkzQbsF9+e1pp8xtUPLGQ+7JyRXW1oENVYKWnnEq6a/+3pfXlXPyzNlhf3WsrWz8vq66tjqhdK99qoGxb1/tA0rn5AGhvUuyebqM3XB9mZmZmZmZmZtYNHDiwbiFpfuB80kDlM8DvO7D7pcDrwA8krVnaNhJYHLghIsrzGwDsI2mxQj9mAP5AutbPqNPekcVJYSXNw6eD88V9TgQ+Ao6RtHS5EkkzSyoGFe4g3Qm/XsXkvXvR8fkNfkVKe/RDSYfnIEqx/bmBi0iTC98AnFfa/x5gUUkbV9S7GNN6g/SUQtUk1N1O0vbAt4GdI2JKYdNE0jGdM5dbAlgeeLiBam8nnZN1JG1Tam8bUlDoMdIkydPjTOAtYHdJ65U3Slqk8PZs0nX1M0lLlooeTppk+eziBN6d0B1t1NJgNeX6MDMzMzMzMzOz7uM5Dmy6SRqV/zkDKeXNCqS76WcmDVb/KCJebbS+iHhH0s7AP4BbJP2DFHwYQspl/yKwa53dbwcmSLqAlHZlE2Al0mTFR1eUf4F09/pDki4HZgK2IaVuOTkiWifIjYhHcr9OBx6WdA1pkHkm0uDpuqR5HJbN5UPST4DrSZP3XkLKzb8ysAFwDbBpB47L83nQ/3LSYP/2uQ+v5/aHkybEvQHYNk82XPTHfDwuy8fnddLTFouT5h8YVmrvHUl3A+tKOid/1o+ByyPigUb73RmSFgCOBY6JiLtLm48GLgPukHQdsFVe/4f26s3nZEfSOblA0mXAI8AywBbA28AOFceuQyLiVUk/JAVybpZ0NfAAaYB+RdKTH4vnsi2SRgInAeMlXUi6joaSJuR+BDhwOvvTHW3cCbwHjJQ0L5/OhXBCRExvqiczMzMzMzMzM2siBw6sKxyal1NIA69PA2cBFwPXdWYQNiIuk/QN4BDSYPdcpIHJU4HDI+L5OrvuC2wJ7AIMIt0VfRzwm4j4oKL8FNKcAL8Hvg/MB/wPGA2cUNGvsyXdD+xPSmuzMfAu8DxpkPiCUvnb81MIR/Bp2pq7SYP0m9CBwEGu7wFJK5ACJ1sB25EmY36d9ITDWcA/qvLSR8SNkrYAfpM/67ukAfTtgMPqNPlj4Jjczx8AAp4lDYJ3p5NIn+nX5Q0RcbmkXUkD3XsBjwNbRcSDjVQcEXdLWo0UfNkQ2Ax4lfSExuER8WhXfICIuFLSqrmfG5CulTdIg/RHlsqeLOkJ4OfA1sDswCRSMOT3dSZB7mh/urSNiHhD0takn/8RwBfyprOZ/jkizKxBLaOHN7sLZmZmZmZm1g/J815afyBpDLAjsHjVJMx19mkBiIhB3dUvM2uMpHGDBw8ePG7cuGZ3xczMzMzMzMysXxgyZAjjx48fHxFDOrqv5zgwMzMzMzMzMzMzM7NWDhyYmZmZmZmZmZmZmVkrBw7MzMzMzMzMzMzMzKyVAwfWL0TEiIhQo/Mb5H0GeX4DMzMzMzMzMzMzs89y4MDMzMzMzMzMzMzMzFo5cGBmZmZmZmZmZmZmZq0cODAzMzMzMzMzMzMzs1YOHJiZmZmZmZmZmZmZWSsHDszMzMzMzMzMzMzMrJUDB2bWLkljJUWz+9EskhaUdKakZyV9LCkkDWxifz7X58PMzMzMzMzMzLrXjM3ugNnnSW2wNyLU7L70NpJmAPYGdgcWAiYCv4yIGyrKLg/cB+wfESf2QPfGABsD5wFPAAF80APt9lqSRgBnADtFxJjm9sas/xt00JXN7oKZ9RMto4c3uwtmZmZm1gc4cGBmvcVewDHA9cC/gG2BqyWtGhH31wpJGgCcDtwNnNTdnZI0M7ARcENE/Ki72zMzMzMzMzMzM2s2pyoys95id+DmiNg4IvYHhpK+o3YtldsXWBH4SUT0RLqeBXM/nu+BtszMzMzMzMzMzJrOgQOzXkrSLJIOkvSgpPckvSXpVknfa2Of1SVdIOk5SR9KekHSdeV9JI2QdLGk/0l6P9d9u6Ttu/+T1bUYcE/tTUQ8Bbya1wMgaSngt8BvIuLxzjYkaSlJZ+XjNEXS8/n9UqVyLcDT+e2OeW6DkDSmwXaWlXS6pJZ8Pl7O53D3irIbSLpG0uu57GOSRkuaq436Z5R0iKTH8z6TJB2Vn5KoKt9wG7V5FCTNLOk3kh7N+4yRNJaUpgjgjMJxCUmDGjk2ZmZmZmZmZmbWezlVkVkvlAd+ryXddf8IKSXP7MA2wAWSVo6IQ0r77AKcAnwMXA48DswPrArsAVxYKH4K8DDwb+AFYF7g28DfJS0TEb/uvk9X1zPAkNobSYsB85EH7iUJ+BvwICmlUadIWg24AZiDdJwmAssC2wObS9owIv6Tix8LDAL2Ae4HLs3rJzTQznDgH8AswDWk+REGAisBvyCdg1rZXfP7d/M+LwPDgAOBzSR9IyImVzRzLrAucDXwFukc/oJ03ncq9aezbVwMrJbbuDTvNxaYDGwOXFY6HlV1mJmZmZmZmZlZH+LAgVnvVEvVczXw3YiYCiDpMNJd+QdL+ldE3JHXLw+cTBo8XjciHi5WJmmRUv1fi4gnS2Vmzu0dJOnUiHiuGz5XW04FjpF0NSmosQ1pEuLT8vY9gTWAVSLi4840kIMPZwFzAttHxDmFbdsB55OCJ8tHxCcRcWy+g34fYEJEjGqwnflIg/ozAt+MiFtK2xcp/Hsx4HjgHWD1iHiksO1kUgqno4H/q2jqq8AKEfF6Lv9LUoBjB0kHR8SLXdDGYqTr5dXSZ4AUOLi0I5MjSxpXZ9OyjdZhZmZmZmZmZmbdy6mKzHqnnUmD5vvVggYAEfEycHh++9NC+d1Jg9SHl4MGeb9nS++frCgzhfRkw4zABtP7ATrheOAAYElgN+AVYHhETMiD90eSPt9ESbvn9D8fS3pE0uYNtrE2aYD6zmLQACAiLgBuA5YB1pnOz7IjKThxSjlokNsqno/tgZmBE4sD+tkvgbeBH0uapaKdA2tBg1zvu8A5pO/2VbuojV+XgwZmZmZmZmZmZta/+YkDs15G0hykwfPnKgZ5AW7Ky1UK69bMy6sbbGNRUoqaDYBFgdlKRRZuuMPT1j2ClN6naGxEjG1rv4j4BPhjfpX9BXgCGC1pC9LTFaeQ0ujsBlwsaZWIeLCd7g3Oy5vqbL+JFDRYhZTGqbM6cj7q9iki3pB0H7AeKeBxf6nIvRX1TcrLubuojXvK+0yPiBhStT4/iTC4apuZmZmZmZmZmfUsBw7Mep/aRLUv1NleWz+wsK7273bTC0lagjQYPDdwK3Ad8CZpboRBpLvlq+48b9QIUpqlsrGdqUzST0m5+FePiKmSDiAFEfaMiJB0F7Ax6WmFHdqprjPHtjNq+zeS7qnTfaozJ0HtCZUBXdEG8GKdfczMzMzMzMzMrJ9y4MCs93kzLxess/3LpXLw6YS0C5MmU27LfqTJkHcq56aX9ANS4KDTImLY9OxfJGlh0hMIR0XEfXn1csANERG5vXclPQqs0ECVnTm2nTE5LxcmTebcaJ+mSTPVRX3qdBu142xmZmZmZmZmZp8fnuPArJeJiLeBJ4GFJS1VUWT9vBxfWHdXXn6rgSaWzMuLK7ZVPSnQTKeS7tr/bWl9+YmIWRusrxZ8GFZne9Wx7YyOnI+6fZI0EFgZ+AD473T0pzvaqE1QPaDNUmZmZmZmZmZm1uc4cGDWO50OCPiDpNaBWUnzAb8ulKk5hZSi5teSli9XJmmRwtuWvBxWKrMJn51wuakkbQ98G9g5T9xcMxFYT9KcudwSwPJU30lfdjvwKLCOpG1K7W0DrAs8RpokeXqcCbwF7C5pvfLG0vk4G/gI+JmkJUtFDydNsnx2RHw4Hf3pjjZey8tFp6NfZmZmZmZmZmbWCzlVkVkTSBrTxuY9SOl5vgVsDtwv6SpgdmBbYH7g6IhoHdyOiImS9iDdoX+fpMuAx0kpiVYjDWLX7qY/GdgJ+Ieki4Dnga8BmwIXAtt10cfsNEkLAMcCx0TE3aXNRwOXAXdIug7YKq//Q3v15jkRdgSuBy7Ix+kRYBlgC+BtYIc8UXOnRcSrkn4IXATcLOlq4AHSAP2KwFeAxXPZFkkjgZOA8ZIuBF4hPf2xVu7fgdPZn+5o407gPWCkpHn5dC6EEyJielM9mVlJy+jhze6CmZmZmZmZfY44cGDWHG3NIzAyIt6TtBFpPoIfAj8jPVFwf95+XnmniPiLpIeAn5OeJtgCeJU0YP3XQrkHJK0P/A4YTvoeuJ80AD+ZXhA4IA1wv86nT1e0iojLJe1KGujeixQg2Soi2ptLoLb/3ZJWA34FbAhsRjpO5wGHR8SjXfEBIuJKSavmfm5AmsD5DdIg/ZGlsidLeoJ07rYmBYkmkYIhv68zCXJH+9OlbUTEG5K2Bg4lTYj9hbzpbKZ/jggzMzMzMzMzM2sied5LMzNrNknjBg8ePHjcuHHN7oqZmZmZmZmZWb8wZMgQxo8fPz4ihnR0X89xYGZmZmZmZmZmZmZmrRw4MDMzMzMzMzMzMzOzVg4cmJmZmZmZmZmZmZlZKwcOzMzMzMzMzMzMzMyslQMHZmZmZmZmZmZmZmbWyoEDMzMzMzMzMzMzMzNr5cCBmZmZmZmZmZmZmZm1cuDAzMzMzMzMzMzMzMxaOXBgvZakUZJC0rDS+pA0tpGy/YmkQfkzjimtH5PXD+rGtvv98W2LpJkkHSbpcUkf5mOxRRP787k+H2ZmZmZmZmZm1r1mbHYHrP+QNADYGdge+DowB/AG8CJwD3B5RFxeKD8COAPYKSLG9HBfRwGHtlPslogY1v29sRpJGwNHAMsBzwInAydERJTKzQbcDzwQEdv0QNf2B34D/Bu4EPgIeKQH2u21cqDqKeDMiBjR3N6Y9R2DDrqy2V0ws8+5ltHDm90FMzMzM+sDHDiwLpGDBv8CNgUmA1eSBn5nBlYAfggsC1xep4oqJwLnA890ZV9LbgHG1tnW0o3tWomkVYCrgEeBU4F1gOOAj4GTSsUPB+YF9uyh7n0HeAfYKCKm9FCbZmZmZmZmZmZmTeHAgXWVH5CCBvcDQyPizeJGSbMDa3Skwoh4FXi1y3pYbWxEjOrmNqwx/we8DawdEW9KmhGYSAoOtAYOJK0OjARGRMRLPdS3hYDXHDQwMzMzMzMzM7PPA89xYF1l7bwcUw4aAETEexFxc+19nqPgjPz2jJyvPYq5+ntbHvfa3AqS5pN0mqQXcr77hyXtVFF+WN5nlKTVJV0p6fXSZ5xF0kGSHpT0nqS3JN0q6Xtd1Oc1JF0k6UVJUyRNkvRnSQvVKT9E0jWS3s59uUHSWl3RlwYsBjxau34iYipwX15f69/MpOvmmog4u7MNSZpL0pGSHpX0gaQ3JF0racNSuTGSAlgcWKxwjbY02M48ko6Q9FA+v29Kul/SaElfKJVdStJZkp7L5+r5/H6pdtrYRtI9uf7XJZ0vaeE6ZRtuo/jzJ+mHku6W9I6klpzq66lcdMfSz++IRo6NmZmZmZmZmZn1Xn7iwLrKa3m5dIPlx5BSGm0OXAZMKGyb3EV96g4DgduBKcBFwCzAtsDpkj6JiDMr9lkLOBi4DTgdmA+YkgfBrwWGkvLlnwTMDmwDXCBp5Yg4pLMdlbQzcBrwISlF1CRgKeCnwGaS1oyIZwrl1wZuIKWXugR4AliZlMrpps72owOeAdaU9MWIeCenv1oZeLpQ5jfAwsDGnW1E0kDSOVwe+A9wLOmcfA+4TtLuEfHnXPxSUsqqkfn9sXk5uYF2FgduJgU+xgGnkIK1SwP7ktIxvZvLrkY69nOQztVEUmqv7YHNJW0YEf+paGYP4Lt5n1tIT/VsB6yUr58PC/3pbBv7AxsBV+TPMxfpmhgI7EN6yujSQvkJ7R0bMzMzMzMzMzPr3Rw4sK5yCXAgsJukOYB/AuMi4umqwhExRhKkwMGlPT05csGwfPd0lWsi4q7SupWAvwG7RsTHAJKOBR4gff6qwMHGwG6FwWjyfgeTggZXA9/Nd9gj6TDSZNIHS/pXRNzR0Q8laWnSwHQLKXXUc4VtGwDXkeYP2DKvEymoMRuwRURcVii/D58OmHenvwC7AHdIugZYlzTIvnfux8qkY7x78fN0wlGkoMFppPMSuf6jgHuB4yVdGxEtEXEpcGntLvoOprU6hxQ0OCQijixukDQfac6E2rE/C5gT2D4izimU2440z8ffJS0fEZ+U2tgUWC0iHizscy4pddjmpImcp7eNbwJrRcR9pc/QQgocTOjIcZE0rs6mZRutw8zMzMzMzMzMupdTFVmXyIOK2wMv5eXFQIuk1yT9U9JmTe1gfUOBQ+u81qwo/x6wXy1oABARE0l3sC8n6YsV+0woBw2ynYHI9U0t1PcyafJfSE8HdMbuwEzAPuVB9oi4kXTH+WY5yAMp1dQywL+LQYPsRODJTvajYRExDtgM+Ih0J/28wH7ASUrzHZxBmpPir5KGShonaapSyqhf5cHxNuWnPLYnDdofXAsa5PYfB44nPXGxw/R8FklDSE+aTCAFKsqf9dWI+CC/XZs0aH5ncUA/l7uA9KTKMqTJosuOLwYNsr/k5eqFddPTxmnloIGZmZmZmZmZmfVvfuLAukxEXCjpn8D6pAHIVfJyC2ALSWeRJrSN+rX0uMM6eBf54xHxVsX6SXk5N/lO8oJ7yoXzgP2SwHMR8UhFfbXUQKt0oG9FtXkJhuYUNWXzAwNId/SPAwbn9beUC0bEx5JuA77aSMNKc1IMK61uaeSpkoi4Criqos5DSMdry5y//ypSmqFvkQbFDwfeoDCJch3LkNJB3R4Rr1dsvwn4FZ0/7jW1oNO1FXfwl9WOfb10UDfx6c/Tv0vb7q0oX7wWu6KNaa7f6RERQ6rW5ycRBldtMzMzMzMzMzOznuXAgXWpiPiIlAbnOoCcp35rUhqcHUgpjC5tVv+6wOQ662tPDAyo2PZixbq58vKFOvXV1g9sqFfTmjcvD2inXO0JiVp/XqpTruoz1DOM9MRG0S2keS06TNLywK+B/SOiRdIRpJRKP46IScD1ktYjpTFqL3DQ3ce9prZ/IymVpqdPkyvWVV2L09NGR869mZmZmZmZmZn1A05VZN0qIj6OiAuBY/KqbzazP01S9YTFm3m5YJ19vlwq11G1/eaKCLXxuqVUfoE69dXr5zQiYlRFO8M68yFy4Ol04G4+DQosB7yagwY144CvFFIv1dPdx71mcl4u3EDZnujT9LTRm54QMjMzMzMzMzOzHuDAgfWUt/OymIe+Nk9A1V36/VpEvE2aN2BhSUtVFFk/L8d3sonapM7rNli+1s7Q8oY8eF+V+74n7AusCPyklOJqllK5WRus71HSPBUrSRpYsX16j3tN7fhvIqm979na/AHD6mzvij51Rxuf259fMzMzMzMzM7P+zoED6xKSfiBpo6pBUkkLArvkt8X86a/l5aLd3b9e6nRSIOUPeXAeAEnzkVLz1Mp0xomkSYaPkbR0eaOkmSUVgwp3kAbV15O0ean4XjQ4v0FXygGV3wK/yRMX10wE5szpicgTJ28KTMoBmboiYgpwDjAHn05AXWvvq8DepOP29+npe57o+Q5gZVIKpc+QNK+kWrDjdtKxX0fSNqVy25CCP4+RJjDurO5o4w3S0wif159fMzMzMzMzM7N+y3McWFdZA9gHeDFPpPtUXr84MJyUk/4y4KLCPneS7v4eKWlePs2lfkJETG+qmEYNkzSqzrbJEXFsN7b9R9LkvpsD90u6ijRx77akyYuPjohODRZHxCOSdiYFHh6WdA1pYHgm0kDvusArwLK5fEj6CXA9cLGkS4AnSAPfGwDXkAbne4QkAX8DHuTTNFc1JwEjcz/PBVYDlgL2bLD6g0iff688cfTNwHzA90gBhb0i4qk29m/U9sBY4PeSts7/Vu7rxqRj35KP/Y6kY3+BpMuAR0gTOW9BelpnhwYmWa6rO9qIiHck3Q2sK+kc0vX1MXB5RDzQ2b6a9Xcto4c3uwtmZmZmZmZm7XLgwLrKn4DHgQ1JqWU2IaWPeY00YHoucG4x3UxEvJEHVA8FRgBfyJvOZvpzzDdqKBXpebKngWO7q+GImCJpI2A/4IfAz0gT294PjIyI86az/rMl3Q/sT0pFszHwLvA8KYBzQan87fkphCNIAQ1IcwsMI53PHgsckIIAawCrRMTHxQ0R8YKkb5Guud2AV4FfAac0UnFEvC5pLeBgYCvS8X8fuAf4Q0Rc1xUfICKekjQY+AVpcH4v4AOgJff95ULZu3MQ41ekn6HN8uc6Dzg8Ih7tgv50Rxs/JgV2NgV+QAqMPAs4cGBmZmZmZmZm1ofps2nDzczMep6kcYMHDx48bty4ZnfFzMzMzMzMzKxfGDJkCOPHjx8fEUM6uq/nODAzMzMzMzMzMzMzs1YOHJiZmZmZmZmZmZmZWSsHDszMzMzMzMzMzMzMrJUDB2ZmZmZmZmZmZmZm1sqBAzMzMzMzMzMzMzMza+XAgZmZmZmZmZmZmZmZtXLgwMzMzMzMzMzMzMzMWjlwYGZmZmZmZmZmZmZmrRw4MLPpJmmspGh2P5pF0oKSzpT0rKSPJYWkgc3u1/SQNCx/jlHN7ouZmZmZmZmZmfWsGZvdATP7VG3wPSLU7L70NpJmAPYGdgcWAiYCv4yIGyrKLg/cB+wfESf2QPfGABsD5wFPAAF80APtmlkfMuigK5vdBTMzWkYPb3YXzMzMzKwPcODAzPqKvYBjgOuBfwHbAldLWjUi7q8VkjQAOB24GzipuzslaWZgI+CGiPhRd7dnZmZmZmZmZmbW3ZyqyMz6it2BmyNi44jYHxhK+g7btVRuX2BF4CcR0RPpkxbM/Xi+B9oyMzMzMzMzMzPrdg4cmPVRkmaRdJCkByW9J+ktSbdK+l4b+6wu6QJJz0n6UNILkq4r7yNphKSLJf1P0vu57tslbd/9n6yuxYB7am8i4ing1bweAElLAb8FfhMRj3e2IUlLSTorH6cpkp7P75cqlWsBns5vd8xzAoSkMQ228yNJ4/MxflnS3yUtVDVnRHHOgXwer5T0el43KJdZX9Jpkibmc/a+pIckHSpp1jp9WEDS3yS9lMtPkLRjG31eIrfxRC7/er4GT5U0byOf28zMzMzMzMzMejenKjLrg3J6nGtJd90/QkrJMzuwDXCBpJUj4pDSPrsApwAfA5cDjwPzA6sCewAXFoqfAjwM/Bt4AZgX+Dbwd0nLRMSvu+/T1fUMMKT2RtJiwHzkgXtJAv4GPEhKadQpklYDbgDmIB2nicCywPbA5pI2jIj/5OLHAoOAfYD7gUvz+gkNtPML4CjgDeBM4E1SyqPb87/rWQs4GLiNlJJpPmBK3nZg7usdwJXArMA3gFHAsNz3jwt9mC+XXSLXdxvwZeBU4LqKPn8Z+A8wJ3AVcHFuY3Hgx8CJwGvtfXYzMzMzMzMzM+vdHDgw65tqqXquBr4bEVMBJB1Guiv/YEn/iog78vrlgZOBt4B1I+LhYmWSFinV/7WIeLJUZubc3kGSTo2I57rhc7XlVOAYSVeTghrbkCYhPi1v3xNYA1ilODjeETn4cBZpYHz7iDinsG074HxS8GT5iPgkIo7Nd/vvA0yIiFENtrMEcATpiYnBETEprz8IOBf4fhu7bwzsFhF/rti2B/BUOUWTpMOBX5EDS4VNvycFDY6NiH0L5U8E7qyofxtgHmBkRBxXauMLwCdt9LtWblydTcu2t6+ZmZmZmZmZmfUMpyoy65t2Jg2a71cLGgBExMvA4fntTwvldycFCg8vBw3yfs+W3j9ZUWYK6cmGGYENpvcDdMLxwAHAksBuwCvA8IiYkAfvjyR9vomSdpfUIuljSY9I2rzBNtYmDWDfWQwaAETEBaQ78pcB1pnOz/JD0nE8oRY0yG0EcBDpqZB6JtQJGhAR/6szr0PtCYxNaiskzQT8CHib9ERCsZ57gc98/pL3K9p+NyKmWW9mZmZmZmZmZn2Pnzgw62MkzUEaPH8uIh6pKHJTXq5SWLdmXl7dYBuLktLebAAsCsxWKrJwwx2etu4RpPQ+RWMjYmxb+0XEJ8Af86vsL8ATwGhJW5CerjiFlEpnN+BiSatExIPtdG9wXt5UZ/tNpKDBKqQ0Tp1VOze3lTdExNOSJjHtMaq5p8762l3/+wBbAkuT0i2pUKR43pYlpbe6NSKqUiONBcpzHVxOekrhJEmbkNJl3Q5MbHQi6ogYUrU+P4kwuGqbmZmZmZmZmZn1LAcOzPqeufLyhTrba+sHFtbV/t1ueqGcRuceYG7gVlKu+zdJd8EPIg0mz9KB/paNIKVZKhvbmcok/RQYBqweEVMlHUAKIuwZESHpLlJ6nwOAHdqprjPHtjNq7bxUZ/tL1A8cvFi1Mj9BcBOwOvAQKSXRK8BHucihfPa8tdeHadrJQY3VSU8obApslTdNkvTHiDi+Tl1mZmZmZmZmZtaHOHBg1vfU7g5fsM72L5fKAUzOy4VJkym3ZT/SZMg7RcSY4gZJP2Dau9A7JCKGTc/+RZIWJj2BcFRE3JdXLwfcULsDPiLelfQosEIDVXbm2HbGW3m5AGm+hrIF2ti33p39m5OCBmMiYqfihjyp8aGl8rXPUK+tymMQEf8FtpM0I7ASsCHwM+A4Se9GxN/a6LuZmZmZmZmZmfUBnuPArI+JiLeBJ4GFJS1VUWT9vBxfWHdXXn6rgSaWzMuLK7ZVPSnQTKeSnqL4bWl9+YmIWRusrxZ8GFZne9Wx7YxaO9PMlSBpMeArnaizdt4uqdhWdd4eAd4DVpY0V8X2YW01FhFTI2JcRBwF/CCv3qKxrpqZmZmZmZmZWW/mwIFZ33Q6KXf9HyQNqK2UNB/w60KZmlOAqcCvJS1frkzSIoW3LXk5rFRmEz474XJTSdoe+Dawc564uWYisJ6kOXO5JYDlqb6zv+x24FFgHUnblNrbBlgXeIyKuQk66FzS+fiZpNYggSSRJnkeUG/HNrTk5bDiyvz5jyoXjoiPSBMgz0FpcmRJq5ImTqa0fkidIEPtqYX3OthnMzMzMzMzMzPrhZyqyKwXkjSmjc17kNLzfIuUnuZ+SVeRJrrdFpgfODoiWge3I2KipD1Id+jfJ+ky4HFSSqLVSKlzanfTnwzsBPxD0kXA88DXSDntLwS266KP2WmSFgCOBY6JiLtLm48GLgPukHQdn+bh/0N79eY5EXYErgcuyMfpEWAZ0t30bwM75ImaOy0inpT0G9JEw/dLuoCUOmgjYB7gfmDFDlZ7BWluh/0kfZ30VMOiwHeAK/O/yw4hTYA9MgcLbiOlY9oOuAr4bqn8j4FdJd1GeurlDeCrwGbAh6RzYmZ1tIwe3uwumJmZmZmZmTXEgQOz3qmteQRGRsR7kjYizUfwQ1KO+amkAeeREXFeeaeI+Iukh4Cfk+5K3wJ4FXgA+Guh3AOS1gd+BwwnfU/cTxqAn0wvCBwAJwGv8+nTFa0i4nJJuwIHAnuRAiRbRcSDjVQcEXdLWg34FSl//2ak43QecHhEPNoVHyAijpT0LOkc7kQKSlwL/II0IfVbbexeVd+7kr4JjCad33WB/wGHA/+PivMWEa9K+gYpgLEZsCrpiYvdSU8wlAMH55HSQK0NDAFmI6WKOh/4U0Q81JE+m5mZmZmZmZlZ76Q8f6iZmfUCOcXSS8CEiFir2f3pKZLGDR48ePC4ceOa3RUzMzMzMzMzs35hyJAhjB8/fnxEDOnovp7jwMysCSR9SdJMpXUzAn8iTeb8z6Z0zMzMzMzMzMzMPvecqsjMrDm2Bn4r6QZgEmlug/WApYEJwAnN65qZmZmZmZmZmX2eOXBgZtYcd5MmI16PNEk1wFPAEcBREfF+szpmZmZmZmZmZmafbw4cmJk1QUTcR5pw2szMzMzMzMzMrFfxHAdmZmZmZmZmZmZmZtbKgQMzMzMzMzMzMzMzM2vlwIGZmZmZmZmZmZmZmbVy4MDMzMzMzMzMzMzMzFo5cGBmfYqkvSVNlPS+pJA0soF9xuSyg7q/h2ZmZmZmZmZmZn3bjM3ugJlZoyR9HzgOuA84FvgQuKuZffq8ktQCEBGDmtuT3mnQQVc2uwtmZmaVWkYPb3YXzMzMzKwPcODAzPqS79SWEfF8U3tiZmZmZmZmZmbWTzlVkZn1JQsBOGhgZmZmZmZmZmbWfRw4MLNeT9IoSQGsn99H7VV4P1bSgpL+Kuk5SR9LGtFF7dfqX0jS3yW9nOdYGCfph23st4mkqyS9KulDSU9K+oOkgRVlW/JrTkn/L//7I0mjCmWWlXR63vZh7setknavqG/ZPLfDJElTJL0k6VxJy1SUbZ0DQtKukh6U9EHe5zRJcxXKDsvHfTFgseK5kDSmwwfXzMzMzMzMzMx6HacqMrO+YGxejiANWB9WUWYe0nwH7wCXAJ8AL3VhH+YG7gAmA2cAA4HvAedIWjgi/lAsLOlQYBTwOvAv4GVgReDnwLclrRURb5XamBm4KX+W64C3gKdyfcOBfwCzANcA5+U+rAT8Ajil0PampGMwE3AF8ASwCLAVMFzS+hExvuIzHg1skve5jhSo2QVYEvhmLtNCOv4j8/tjC/tPqKjTzMzMzMzMzMz6GAcOzKzXi4ixwFhJw4DFImJURbGvA38Hdo6Iqd3QjRVJA/ffj4hPACSNBsYBR0i6OCL+l9evTwoa3Al8OyIm1yrJT0GcQRp837fUxpeBicDQiHi3sM98wLmk7+xvRsQtxZ0kLVL499ykoMJ7wHoRMbGw7Wuk4MpfgcEVn3FN4OsR8UwuPyMpkLG+pNUj4p6IaAFG1Z7mqHMuzMzMzMzMzMysD3OqIjPrL6YAP++moAHAx8CBtaABQEQ8BRxPurP/x4Wye+flLsWgQd5nDOnO/B/VaWf/YtAg2xGYEzilHDTIdT5beLsD6UmEQ4tBg1zuIeAvwCqSlq9o+7e1oEEuP5UU5ABYvU5/OySnd5rmBSzbFfWbmZmZmZmZmdn08xMHZtZftETEy91Y/zM5UFA2FjgUWKWwbi3gI2BbSdtW7DMz8CVJ80bEa4X1HwAPVJRfMy+vbqCfa+XlSsX5EQqWzsvlSE83FN1bUX5SXs7dQNtmZmZmZmZmZtYPOHBgZv3Fi91cf735EmrtzlVYNy/p+/XQdur8IlAMHLwcEVFRbmBePtdOfbW2Ic1N0F7bZZMr1tWe4BjQQNvtioghVevzUwdV6ZPMzMzMzMzMzKyHOXBgZv1F1YB7V1qgzvoF8/LNwro3gRkiYp4OtlHvM0zOy4WBB9upo9aPlSKi6ukFMzMzMzMzMzOzNnmOAzOzxiwqaVDF+mF5eV9h3V3A3JJW6KK278rLb3Wg7Lpd1HY9H9NFTyGYmZmZmZmZmVnv4sCBmVljBgBHSWr93pS0OGki5KnA2YWyx+TlXyQtVK5I0hckrVle34YzgbeA3SWtV1HfIoW3Z5CeUDhU0jQTGkuaQdKwDrRdz2ukeRpm64K6zMzMzMzMzMysF3GqIjOzxjwArAGMk3Qdad6B7+XlLyLiyVrBiLhR0kHAkcDjkq4CniLNK7AYMBS4Ddi0kYYj4lVJPwQuAm6WdHXuz5zAisBXgMVz2dckbQP8E7hL0o3Aw6Q0SF8hTZ48LzBrp49EciOwGnCNpH8DHwL3R8QV01mvmZmZmZmZmZk1mQMHZmaNeYOUKuhoYCfSoP1E4I8RcW65cEQcJel20hMJ6wCbk+YfeA44DZhmn7ZExJWSVgUOBDYANs59eoQUoCiWvVHSisDPgU1IaYumAM8DNwEXd6TtOn5HCppsBnyD9ETGmYADB0DL6OHN7oKZmZmZmZmZWacporvnEzUz69skBXBLRAxrdl/6K0njBg8ePHjcuHHN7oqZmZmZmZmZWb8wZMgQxo8fPz4ihnR0X89xYGZmZmZmZmZmZmZmrRw4MDMzMzMzMzMzMzOzVp7jwMw+VyQNBEY2WHxMRLR0W2fMzMzMzMzMzMx6Ic9xYGafK5IGAU81WHz9iBjbfb2xGkmvzTbbbPMst9xyze6KmZmZmZmZmVm/8N///pf333//9YiYt6P7OnBgZmZNJ+kpYE6gpcldWTYvH2lqL6w/8LVkXcnXk3UVX0vWVXwtWVfy9WRdxdeSdZX+dC0NAt6KiMU7uqMDB2ZmZpmkcQARMaTZfbG+zdeSdSVfT9ZVfC1ZV/G1ZF3J15N1FV9L1lV8LSWeHNnMzMzMzMzMzMzMzFo5cGBmZmZmZmZmZmZmZq0cODAzMzMzMzMzMzMzs1YOHJiZmZmZmZmZmZmZWSsHDszMzMzMzMzMzMzMrJUiotl9MDMzMzMzMzMzMzOzXsJPHJiZmZmZmZmZmZmZWSsHDszMzMzMzMzMzMzMrJUDB2ZmZmZmZmZmZmZm1sqBAzMzMzMzMzMzMzMza+XAgZmZmZmZmZmZmZmZtXLgwMzMzMzMzMzMzMzMWjlwYGZmZmZmZmZmZmZmrRw4MDOzfk/S2pKukvS6pPclPSBppKQBHahjlKRo5/VkaZ9h7ZQf3fWf1rpTV1xLuZ62rou72tjvO5LGSnpT0juS7pa04/R/MutpXfS9tLCkn0m6WlKLpA8lvSbpeklb1dnH30t9kKRFJJ0u6fl8nlskHStp7g7WM0/er3a9PJ/rXaS727beYXrPp6QvSPqRpHMlPSLpXUlvS7pX0v6SZq6zX6d+71nv1hXfD/nvmrauj1nr7Le8pAslvSzpA0mPSjpM0mxd9wmtp3TBd1N7f9/UXl8p7efvpn5E0jaSTpB0q6S38nk8u5N1dfia7I/fSzM2uwNmZmbdSdLmwMXAB8AFwOvAZsAxwDeAbRusamwb2zYDBgNX19l+S539b2uwbesFuvBaqnkaGFOx/tk67e8FnAC8BpwNTAG2AcZI+npE/LyD7VuTdOG19DPgQOAp4GbgRWAxYCtgQ0nHRMR+dfb191IfIemrwB3A/MBlwCPA6sA+wKaSvhERrzVQz7y5nqWBm4DzgWWBnYDhktaKiP91R9vWO3TR+VyX9DvoddL3zqXA3MB3gT8CW0naICI+qNi3Q7/3rHfrhu+Hw+qsn1rR9hqk77GZgIuAScA3gd8AG+Rr8MMOtG1N1EXXUgv1r6Gvk/42eigiJlVs93dT//ErYCXgHdL5W7YzlXTmmuy330sR4Zdffvnll1/98gXMCbwMfAisWlg/K+kPgQC+P51tDCD9URDAiqVtw/L6Uc0+Fn71rmsplx/bgfKDSIPMrwGDCuvnBp7I9a3V7OPkV89eS6T/BA+tWL8c8Gaua0hpm7+X+tgLuDafs5+V1v+/vP7UBuv5cy7/p9L6vfP6a7qrbb96x6srziewMvAjYObS+jmAcbme/Sv269DvPb96/6sLv5vGpqGphtsdAEzMbXy3sH4G0mBdAAc1+/j41fPXUhv1n5fr2btim7+b+tELWB9YClDhb96zO1FPh67J/vy95FRFZmbWn20DfAk4PyLura2MdBfcr/Lb3aezjW8DiwB3RcQD01mX9V49cS21ZWdgFuDEiGgptP8G8Pv8drdubN+6TpddSxFxSUTcUrH+v6QnGSD9p8n6qHzH28akOylPKm0+FHgX+LGkL7RTzxeBH+fyo0qbTyTdbbmJpCW6um3rHbrqfEbEhIg4JyKmlNa/Dfwpvx3WFX223qvJ3w9DSQHyf0fE5bWVEfEJ8Iv8djdJ6oa2rYt197UkaT5gS+B94KzO99T6goi4OSIejzxq3xmdvCb77feSAwdmZtaffTMvr6nY9m/gPWBtSbNMRxv/l5entVFmSUl7STpE0s6SlpqO9qw5uuNaGpivh0Mk7SlpzU62f3WpjPVuPfG9BPBRXk6T4iHz91LfsH5eXpf/89kqD9TeDswOtPX9Qd4+G3B73q9YzyekO+uK7XVl29Y79MT5bO97pyO/96x36/LrSdJ2kg6StJ+kb7Xxe7Du79FI6dYeI6XtW6K83Xql7v5u2pF0880/ImJynTL+brKizlyT/fZ7yYEDMzPrz5bJy8fKGyJiKikv+Ix08he40mSS3yKlBLmgjaI/IuWmPwL4G/CYpIsanezLeoXuuJZWIl0PR5Du+L1T0gRJX+9g+y+Q7nxZRNLsHWjfmqNbv5cAJM0JbE16LPq6OsX8vdQ31L1essfzculuqKer2rbeoSfO5855WRUYhY793rPerTuup/OBI0lPrlwFPCNpmx5q25qnu8/nLnn55zbK+LvJivw3U4EDB2Zm1p/NlZdv1tleWz+wk/X/hJTP8OyIeK9i+yvAQaQJueYgpSf5FnAfaVDvCkn+Xdw3dPW19P9Ik+B+iXRtrEbKf7kScJOkhTvZ/lx1tlvv0a3fS/kR6L8CCwCn5LRFRf5e6lu66nrpTD3d/TvUelZ3f/fsBWwKTABOryjS0d971rt15fV0GbAZKfXnbKTJTI/M+14gadNubNuar9vOp6ShpAHdhyLijjrF/N1kZf6bqcD/KTAzs15NUouk6MDr7B7q1wykwAHUuYMlIh6OiKMi4qGIeCciXo2Ia0i5f58i/ZG6WU/013rXtRQR+0fEHfmaeCci7o2IbYGLgfmAn3dX2zb9etO1VOFPwLbArcB+5Y3+XjKzriZpK+BY4EVg64j4qFzGv/esnog4JiL+FRHPRcQHEfFoRBwC7E8aszqyyV20vqvdlLL+bjJr24zN7oCZmVk7ngQ+6ED55wv/bu8u7Nr6yR3sE6Q7dL9CmhT5wY7sGBFvSToX+CWwHulOK+t+vfVaKjqVdNf3eqX1b5L+8zIX8Fob7de7y8W6Vq+8liQdDexLmitheER82Oi+/l7qtbrqeulMPT31vWc9o1vOp6QtSClmXgbWz7mcO6Le7z3r3Xri++GvwDHAypLmKMzP4u+m/qW7vpvmIX23vA/8vRP98nfT55f/Zipw4MDMzHq1iNhgOnZ/FFiVlEtwXHGDpBmBxUkT+HX0P7nw6R0sbeXLbMsrefmFTu5vHdSLr6WietfFo6TAwdLAnaX2v5zLP1snZZZ1sd54LUk6BhgJ3Ax8p5PXgr+Xep9H87JeTtzapNb1cupOTz1d1bb1Dl1+PiVtC5xLetLgmxHxeDu7VPH3Tt/U7d8PEfGBpLeBuUnXRy1w4O+m/qW7zmdtUuQz25gUuS3+bvr88t9MBU5VZGZm/dlNeVnOjQrp7pHZgTs6clcugKSFgOG0PylyW9bMy+kdaLae0S3XUoV610Vb7X+rVMZ6ty69lpScRAoaXE960qCzASR/L/U+N+flxuW5JyTNQUot9R5wVzv13EW66/Ibeb9iPTMAG5fa68q2rXfo0vMp6UfAeaQnqoZ2MmgA/t7pq7r9+0HSMqSgwdvAq4VNdX+PSlqCNHD3NL6m+oruupZqkyLXTVPUDn83fX515prst99LDhyYmVl/dhHpPxrfl7RqbaWkWYHf5benFHeQNLukZSUt2ka9tUmR/x4R79crVGyztH57YDtgCnBhIx/Emq7LriVJK0qaqdyApBWBI/Lbck78M4APgb0kDSrsMzdwSH57akc/lDVFV15LIv2HeA/gauC7bX0n5X38vdSHRMSTwHXAIGDP0ubDSHdC/j0i3q2tzNfKsqV63iGlavgCMKpUz165/muLaWY607b1Xl11LeX1OwJnAc8A67WXnqiTv/esF+uq60nS4jmlDKX1XyL97QNwfkRMLWy+BfgvsJ6k7xb2mQE4Kr89NSKiM5/NelZXfjcVtq8LLEfbkyL7u+lzTtJM+Vr6anF9J//+6bffS+qDfTYzM2tYzr17ESkf+fnA68B3gWXy+u8Vf4FLGka6y+CWiBhWUd8MpDsFFgNWbGt+A0ktpJQj9wLPArMCqwGr5/W7RMSY6fqA1mO66lqSNIY0+eytwCRSQGBZ0h0qA4C/ALuW/7CU9DPgeNIcBxeQBni3ARYB/hQRnrytj+jCa+lQ0iDw+6SJSadUNDchIi4t7NOCv5f6lPwf2juA+UlzT/wXWANYn/TI+9oR8VqhfABEhEr1zJvrWZp0Z9w9pIGVzUn56dfO/1nudNvWu3XFtSRpfeAG0k2Ip5N+j5VNjohjC/uMoRO/96x366LraQTpxofbSH9fvw4sCnyblBP8XmCjcqoZSWuQvsdmIv3efAbYgJQK8HZggy54CtR6SFf9nits/zuwPbB3RJzQRrtj8HdTv5L/xt4iv10Q2IT03XJrXvdq7f9M+Wasp4CnI2JQqZ4O//3Tb7+XIsIvv/zyyy+/+vWL9DjhVcAbpAG2B0kTiA6oKDsMCGBsnbq+lbff2UC7B5JSh0zK7X5AmlT1DGClZh8Xv5pzLZH+mL0EeAJ4izTY+wJwBemO8bba34x0R8vbwLvAf4Adm31c/GratTQmr2/rNaa0j7+X+uAL+Eo+Ry/k74ynScGiuSvKRvpvXmU98wDH5f1r3z2nA4t0Rdt+9f7X9F5LwIgGvndaSvt0+veeX7371QXX09fz77IHSTdGfEQKHtwK/AyYuY22lwf+QXqK70PSYN5hwGzNPi5+9fy1VNg2d/775j1gYDtt+rupn71IN9Q09PuJ9ETBNL+zCts7/PdPf/xe8hMHZmZmZmZmZmZmZmbWynMcmJmZmZmZmZmZmZlZKwcOzMzMzMzMzMzMzMyslQMHZmZmZmZmZmZmZmbWyoEDMzMzMzMzMzMzMzNr5cCBmZmZmZmZmZmZmZm1cuDAzMzMzMzMzMzMzMxaOXBgZmZmZmZmZmZmZmatHDgwMzMzMzMzMzMzM7NWDhyYmZmZmZmZmZmZmVkrBw7MzMzMzMzMzMzMzKyVAwdmZmZmZmZmZmZmZtbKgQMzMzMzMzMzMzMzM2vlwIGZmZmZmZmZmZmZmbVy4MDMzMzMzMzMzMzMzFo5cGBmZmZmZmZmZmZmZq0cODAzMzMzMzMzMzMzs1YOHJiZmZmZmZmZmZmZWav/D8imAZUa0eR5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 574,
       "width": 775
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlations[correlations[\"sat_score\"].abs() > .25][\"sat_score\"].sort_values().plot.barh(figsize = (10,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "`frl_percent`, which is the percentage of students who qualify for free or reduced-price school lunch, has a strong negative correlation with `sat_scores`, with an R-value of -0.722225. The only other correlations of this magnitude are positive, and are other metrics of academic performance.\n",
    "\n",
    "Other demographic characteristics with a negative correlation to SAT scores:\n",
    "\n",
    "* `black_per`: percentage of black students in student body\n",
    "* `hispanic_per`: percentage of hispanic students\n",
    "* `ell_percent`: percentage of students learning english\n",
    "* `sped_percent`: percentage of students receiving special education\n",
    "\n",
    "The academic measures that correlate most strongly are, not surprisingly, the SAT subscores (Writing, Math, Critical Reading). Percentages of students receiving advanced \"Regents\" diplomas also correlates strongly with high SAT scores.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "Interestingly class and school size also seem to have a positive correlation with SAT scores.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Significance of Students Receiving Subsidized School Lunch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "We saw above that the percentage of students receiving free or reduced-price lunch (FRL) correlates strongly with lower SAT scores. Below I investigate that relationship, and identify other factors that correlate strongly with the percentage of FRL students."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='frl_percent', ylabel='sat_score'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kBRW/l3Smc+4Ff/lXJK2X9FUzW+mc25p1nIvlBRVrJb3JObff3+bbkn4l6TtmtsY59+cIzxsAAABIrNQNhXLO3eOce8I55wKs/gr/8efZQYUv04NwXM7yhf7jlzNBhX/crZK+JalF0gdytvmI//i5TFDhb/OApB/4x7gowPkCAAAAqZS6wCKk//Uf55hZ7nPN5EvclbP8fP/xzjz7W5WzjsxspKRZkvZJ+mWQbQAAAIB6k8ahUGH8XNJPJL1T0qNmdpekAUkzJL1B0jfl9UJIksysTVKHpD3OuR159veE//iqrGVTJDVI2uKcOxRwm4LMbH2BXzHwGQAAAIlV14GFc86Z2UWSPi8v6fvUrF/fLenmnGBgrP+4q8AuM8vbI24DAAAA1JW6Diz8YUrLJM2R9DF5eRX75CV0f0PejE3vTtKMTc65GfmW+z0Z06t8OgAAAEAg9Z5jsVjSuyV91jl3nXPuGefcbufcKnnJ1E2S/j1r/Uzvwljll1neF3EbAAAAoK7Ue2CRSdA+akpa59xGSS9ImmRmx/rL9krqlTTazCbk2d8r/cffZS37vaRBSa/w62YE2QYAAACoK/UeWLT4j7lTysrMWiS9xP9xIOtXa/zHC/Lsb07OOvKnl10raZSkNwbZBgAAAKg39R5YZKZ//YwfSGT7grwckwdyCtd923/8rJkdk1loZpPl5WkckPT9nH1d6z9+yc/ryGxzprzq23+S9OPynwYAAACQbKlL3jazCyVd6P94gv/YaWbX+//f6Zz7tP//L0uaJ+lNkh43szsl9ctL3n6d////k71/59xaM1siaZGkR8zsVknN8gKEcZI+kVN1W5JukTel7UWSHjKzFZKO9bdpkPQh59zuSE8cAAAASLDUBRaSTpd0ac6yV+jFKtvbJH1akpxzvWY2XdI/SHqrvIrZIyTtkHS9pH9xzj2eewDn3JVm9qi8HooPSzosaYOkrzjnVuZZ35nZ38gbEvVBSZ+QtF/SfZK+5JxbG+H5AgAAAIlnzrlanwMCMLP106dPn75+faH6eQAAAEA0M2bM0IYNGzYUKoFQTBp7LFAFvX39WtazVSs37tDzewc0rq1Zc6dN0ILOyepob6316QEAACBhCCxwlLWbd+ryZQ9q38Dg0LLevn5d171Fy3u2aemCmZp18vganiEAAACSpt5nhUJIvX39RwUV2fYNDOryZQ+qt6+/ymcGAACAJCOwwBGW9WwtGFRk7BsY1PKebVU6IwAAAKQBgQWOsHLjjkDrrdi4vcJnAgAAgDQhxwJHeH7vQOmVQqwnkQgOAAAwHBBY4Ajj2poD5U+Ma2sOtD8SwYHhhRsJADB8MRQKR5g7bUKg9eZNm1hyHRLBgeFl7eadmr2kW9d1b1FvX7/6Dw4O3UiYvaRbazfvrPUpAgAqiMACR1jQOVmjmhuKrjOquUHzOyeV3BeJ4MDwwY0EAACBBY7Q0d6qpQtmFgwuRjU3aOmCmYGGNJAIDgwf3EgAABBY4CizTh6v1Yu6tLBrijraW9Xa1KCO9lYt7Jqi1Yu6AudEVCIRHEAycSMBAEDyNvLqaG/V4jlTtXjO1LL3EXciOIDk4kYCAIAeC1RMnIngAJIt6A0CbiQAQP0isEDFxJkIDiDZuJEAACCwQMXEmQgOINm4kQAAILBARcWVCA4g2biRAAAw51ytzwEBmNn66dOnT1+/fn2tTwUACurt69fynm1asXH7UOXtedMman7nJIIKAEiBGTNmaMOGDRucczPCbsusUEi93r5+LevZqpUbdww1ZOZOm6AFnZNpyABVFseMcgCAdCKwQKqt3bzzqGq/vX39uq57i5b3bNPSBTMZbgUAAFAF5FggtXr7+o8KKrLtGxjU5cseDFRLAwAAANEQWCC1lvVsLRhUZOwbGNTynm1VOiMAAIDhi8ACqbVy445A663YuL3CZwIAAAACC6TW83sHYl0PAAAA5SOwQGqNa2uOdT0AAACUj8ACqTV32oRA682bNrHCZwIAAAACC6TWgs7JBav8ZoxqbtD8zklVOiMAAIDhi8ACqdXR3qqlC2YWDC5GNTdo6YKZFMkDAACoAgILpNqk8W268IwOjW5plEkySaNbGnXJ61+m1Yu6KI4HAABQJVTeRmrlq7otSXsOHNJPNvTqLa+ZQG8FAABAldBjgVSi6jYAAECyEFgglai6DQAAkCwMhUIqham6vXjO1AqfDWqht69fy3q2auXGHXp+74DGtTVr7rQJWtA5mSFwAADUAIEFUomq28Nbvvya3r5+Xde9Rct7tmnpgpkk7gMAUGUMhUIqUXV7+CK/BgCAZCKwQCpRdXv4Ir8GAIBkIrBAKlF1e/gKk18DAACqh8ACqUTV7eGL/BoAAJKJ5G2k1qyTx2v1oi4t79mmFRu3D80MNG/aRM3vnERQUafGtTUHyp8gvwYAgOoisECqdbS3avGcqUwpO4zMnTZB13VvKbke+TUAAFQXQ6EApAr5NQAAJBM9FsAwk/bCcpn8mkJTzpJfAwBAbRBYAMNIvRSWI78GAIDkIbAAhomgheVWL+pKRcOc/BoAAJKFwAJIoEoMVwpTWI7GOgAACIvkbSBh1m7eqdlLunVd9xb19vWr/+Dg0HCl2Uu6tXbzzrL2S2E5AABQSfRYYFhIS8JyJYcrUVgOAABUEj0WqHuV6gGohDDDlcIKWjCOwnIAAKAcBBaoa0F7AIJUcq6GSg5XmjttQqD1jntJsMrWAAAA2QgsUNcq2QNQCZUcrhSksJwkPfzUrsT15AAAgOSLNbAwsyYzu8DMrjCzq7KWjzSzl5oZgQyqKm0Jy5UcrpQpLBckuEhaTw4AAEi+2Br6ZnaBpK2Sfi7pa5K+kPXr0yXtkPSeuI4HBJG2hOWgw5XmTZtY1v4zheVOP2lsyXWT1JMDAACSL5bAwsxmSrpdkpN0haSbs3/vnPu1pD9IekcMx7rIzL5pZr80s91m5szsxhLbNJjZ5WZ2n5m9YGb9ZrbFzH5gZq8qsM2lZvYbM9tjZrvM7F4zm1viGFeY2SP+/p83szvMbFbU54zypS1hOchwpVHNDZrfOansY3S0t+pPfw4WSCWlJwcAACRfXD0WV0naJ2mmc+4bkp7Is84DkqbFcKzPSfq4vF6Q3lIrm9loSb+Q9B1JL5F0g6R/l3S/pLMkHRVYmNlXJV0vaYK/3Y2STpO0wsw+nmd9k3SLpCWSmiX9h6TbJJ0j6T4ze3u4p4i4VLoHIG6lhiuNam7Q0gUzI0+Rm7aeHAAAkHxx1bE4W9LtzrlniqzzlKS3xnCsKyQ9LWmzpC5J95RY/zpJ50ta6Jy7LveXZtaU8/MsSVdK+r2kM51zL/jLvyJpvaSvmtlK59zWrM0ulnSRpLWS3uSc2+9v821Jv5L0HTNb45z7c8jniogWdE7W8p5tRRO4o/YAxC0zXGl5zzat2Lh9qO7GvGkTNb9zUix1N8a1BZv5KSk9OQAAIPni6rEYLanUFDKj4jiec+4e59wTzjlXal0zmy7pvZJ+kC+o8Pd3MGfRQv/xy5mgwl9vq6RvSWqR9IGcbT7iP34uE1T42zwg6QeSjpMXeKDKqtUDELeO9lYtnjNV9y8+X5u+eIHuX3y+Fs+ZGtt5pq0nBwAAJF9cgUWvpL8osc7pkrbEdLyg3us//j8zG2tml5jZ/zWzD5vZyQW2Od9/vDPP71blrCMzGylplryhYL8Msg2qK9MDsLBrijraW9Xa1KCO9lYt7Jqi1Yu6NOvk8bU+xaqrRi4HAAAYXuIaCrVK0kIze4Nz7le5vzSzOfIa39fEdLygzvQfJ8kb2nRs1u+cmV0r6ZPOuUFJMrM2SR2S9jjn8s1Tmskdyc7LmCKpQdIW59yhgNsUZGbrC/xqapDtkV+mB2DxHF5G6cWenELFA5PakwMAAJIrrh6LqyX1SfqFmf2LpFMlycze6v/8I3nTzS6J6XhBvdR/XCLpXkmnyEvgfrO8QOOj8hLPMzJzcO4qsL/M8vaI2wA1R08OAACIUyw9Fs65XjP7S0k/lPR3Wb/6mSST14h/p3Ou2qV8M4HT45Lek+mZkHS3mV0kaYOkRWb2z865REx/45ybkW+535MxvcqngzpHTw4AAIhLXEOh5JzbYGavljfzU6e8YUe7JP1a0k8LDBOqtD7/cUVWUCFJcs5tNLM/yBvKdIqkjXqxd6FQ9bDM8r6sZeVsAwDDWm9fv5b1bNXKjTuGZj6bO22CFnROZggeAKRULIGFmX1P0qPOua/L66X4WRz7jcFvJb1OhRv1mVmfWiXJObfXzHoldZjZhDx5Fq/0H3+Xtez3kgYlvcLMGvMEUPm2AYBha+3mnUfl9/T29eu67i1a3rNNSxfMZCgeAKRQXDkW79WL+QxJcpf/+JrcX5hZi15s9G/N+tUa//GCPPubk7OO/Oll18qbTveNQbYBgOGqt6+/4KQBkrRvYFCXL3swUJ0VAECyxBVYbFUyA4sfS9ou6T1m9rqc310lb5jSPTmF/b7tP37WzI7JLDSzyZI+JumApO/n7Ota//FL/vSzmW3OlPQeSX/yzwUAhrVlPVuLFqyUvOBiec+2Kp0RACAuceVY3CxvutljsovKVYKZXSjpQv/HE/zHTjO73v//Tufcp6WhoU3vl7RS0i/N7Cfyam6cJekNkv4o6W+z9++cW2tmSyQtkvSImd0qqVlegDBO0idyqm5L0i2S3imvCN5DZrZCXo7Je+RNRfsh59zuqM8dANJu5cZ8M3kfbcXG7UwqAAApE1dgcbWkmZLuMbPPSXrAOfdsTPvOdbqkS3OWvcL/J0nbJH068wvn3Gq/t+IqedPMjpX0jLyeiS8657bnHsA5d6WZPSqvh+LDkg7Lm0HqK865lXnWd2b2N/KGRH1Q0ick7Zd0n6QvOefWlv1sAaCOPL832AR8QdcDACRHXIHFfv/RJP1Uksws33rOORfpmM65L0j6QshtNsrrTQizzfWSrg+x/iFJX/f/AQDyGNfWHCh/YlxbcxXOBgAQp7gCi19KcjHtCwBQp+ZOm6DrureUXG/etIlVOBsAQJziKpB3bhz7AQDUtwWdk7W8Z1vRBO5RzQ2a3zmpimcFAIhDXLNCAQBQUkd7q5YumKlRzQ15fz+quUFLF8ykSB4ApFBslbczzKxJ0lRJ7fKqUm9yzh2M+zgAgHSadfJ4rV7UpeU927Ri4/ahytvzpk3U/M5JBBUAkFKxBRZmNkbSv0qaL2lk1q/2m9lySYudc31xHQ8AkF4d7a1aPGcqU8oCQB2JJbDwg4r7Jf2FpD/LS+beIWmCvOlhPyzpDWY2i3oOAAAAQP2Jq8fi/8oLKq6V9NnsngkzGyvpS/JqQvxf/x8AAAX19vVrWc9Wrdy4Y2io1NxpE7SgczJDpQAgoeJK3n6npF875z6WO9zJObfLOfcJST2S3hXT8QAAdWrt5p2avaRb13VvUW9fv/oPDqq3r1/XdW/R7CXdWrt5Z61PEQCQR1w9FpMk/bjEOt2SrojpeABSgLvOCKu3r1+XL3uw4HS0+wYGdfmyB7V6URfXEAAkTFw9FnslvbTEOsdJ2hfT8QAkHHedUY5lPVuL1riQvOBiec+2Kp0RACCouAKLByS928xeme+XZjZF0l/76wGoc0HvOvf29Vf5zJB0KzfuCLTeio3bK3wmAICw4hoK9RVJv5D0gJl9U9I98maFOkHSuZI+IWm0pK/GdDwgEoboVFaYu85MN4psz+8diHU9AED1xNJj4Zy7W9JH5dWv+Iyk1ZL+R9Jdkq6S1Cbp4865u+I4HhAFQ3Qqj7vOKNe4tuZY1wMAVE9cQ6HknLtO0qsk/aOk2ySt8R+vkvQq59y1cR0LKBdDdKqDu84o19xpEwKtN2/axAqfCQAgrNgqb0uSc+5JSV+Oc59AnBiiUx3j2poDBWeZu84MTUPGgs7JWt6zrej7dFRzg+Z3TqriWQEAgoitxwJIA4boVEeYu84MTUO2jvZWLV0wU6OaG/L+flRzg5YumEnACQAJFEtgYWYLzez3Zpa3b9rMOvzfXxbH8YByMUSnOhZ0Ti7YMMwY1dyg2acez9A0HGXWyeO1elGXFnZNUUd7q1qbGtTR3qqFXVO0elGXZp08vtanCADII66hUO+VtMM5l/c2r3Ou18yelnSJpO/GdEwgtLBDdFCezF3nQkFD5q7zLx57hqFpyKujvVWL50zl7w4AKRLXUKhXS9pYYp1HJPENgZoiMbR6gtx1ZmgaAAD1I64ei7GS+kqss1vSMTEdDygLiaHVVequM0PTAACoH3EFFjskvbbEOq+V9KeYjgeUJegQnSQmhtbjzEkMTQMAoH7ENRTqHkkXmNkb8v3SzN4oaY6ku2M6HlC2NCaG1uvMSQxNAwCgfphzLvpOzF4taYOkBkn/KelOSb2SOuQFFB+RNChppnNuU+QDDkNmtn769OnT169fX+tTQZX19vVr9pLuksO3Vi/qSl3PRT0/NwAA0mjGjBnasGHDBufcjLDbxtJj4Zz7raS/lnRA0qckrZKXrL1K0v+RtF/SuwkqgPDCFPVLG2oWAABQP2KrvO2c+7mZvULS+yWdJaldXkL3ryXd4Jx7Lq5jAcNJmJmT0jg1Z2Zo2vKebVqxcftQ/si8aRM1v3MSQQUAACkRW2AhSX7w8LU49wkMd8Nh5iRqFgAAkH5xJW8XZGbHmFlbpY8D1KugMyIxcxIAAKilWHoszOxNkv5K0tXOuRf8ZS+V9CNJb5B0yMy+5ZxbFMfxgOFk7rQJuq57S8n1mDkpuHqcurdSeK0AAEHFNSvU7ZJe45w7OWvZMkmXSNosabSk4yX9jXPuh5EPOAwxK9TwxcxJ8Vq7eWfJOiZJnHK4Foq9ViObRmj2Kcdrw5N9BBwAUEdqPiuUpGmSfpX5wcxaJV0kabVz7lWSXi3pKUkLYzoeMGwwc1J8evv6CzaUJW92rcuXPRioaF+9K/Va7T94WCse2VFXdVUAANHEFVi8VNL2rJ/PkjRS0vWS5Jz7s6SV8gIMACGlsahfEtXz1L1xC/Ja5UNwBgDDV1yzQh2QlH279I2SnKT7spbtljQupuMBww4zJ0VX71P3xinoa5VPJjgb7q8hAAw3cfVY/EHS+Vk/v0vSE8653qxlJ0mifxxAzQyHqXvjEvU1WLFxe+mVAAB1Ja7A4gZJp5nZOjP7paTTJN2cs85rJf02puMBQGhM3Rtc1NeA4AwAhp+4AotrJd0iaaaks+XlU/xL5pdm9hp5wca9MR0PAEKbO21CoPWYujf4a1UIwRkADD+xBBbOuYPOufdKOkbSWOfc251zB7JWeUbSGZK+GcfxAKAcCzonF5xdK2NUc4Pmd06q0hklV5DXqhiCMwAYfmKtvO2c2+3PAJW7fKdzbqNzblf2cjP7P2ZWuvIXAMSAqXuDK/VaFTOycUTo4Ky3r19Xr9qks69Zo1OuulNnX7NGV6/axOxSAJAicc0KVa52SdwaBFA1mal7l/ds04qN24eKu82bNlHzOycRVGTJ91qNaW3Uzj0HNHi48HZhy67mK8SXqYuxvGcbRQsBICViqbxd9sHNPi/pH51z5fe3DxNU3kY19fb1a1nPVq3cuIOqyjjC1as26bru0h3NC7umBJpulsryAJAsUSpv17rHAkDCcPcYxcRdCyRM0cI462IQPANA/AgsAAzp7es/KqjIlqmqvPyys/SLx56hUTYMxV0LpBZFCwmeAaAyCCyABEjK3dOgd4/fc12PDh1+cRgljbLhY1xbc6CE6qDTzVa7aGHQ4JmhV/FJyucbgMqLdVYoAOGt3bxTs5d067ruLert61f/wcGhhvrsJd1au7l6BeuD3j3ODiqyZRplzORTv+KuBVLtooVhhl4huiR9vgGoPAILoIaC3j2Ns6FebFrPOO4K0yirb3HXAql20cIwQ68QTS0+3+oN0zAjbQgsgBqq9t3TUncP2yIURMtGo6x+xV0LpNpFC6s99Go4o3coGnp7kEbkWKDiGF9bWDUTV4PcPTxYrDhBCDTK6keh9+/yy87S6seejVwLJBOoFLo2swOVOD5L4s4RQWG1SMyvF+QCIa1iCSzM7GWS+pxzu4us8xJJxzjnnsxafG8cx0dyMftKcdW8exrk7uHBQafGEVYwhyIoGmWFpSnQDvL+jaNBGKRoYVyfJXOnTQhUhyOuoVfDGb1D5avVNMxAVHENhfqDpP9TYp1P+usNcc51O+f+v5jOAQnD+NrSqpm4GvTuYfuopoJDU5oaLNA+aJTll6ahDdV+/3a0t2rxnKm6f/H52vTFC3T/4vO1eM7UoZ6KuM6l2kOvhrNqJ+bXE3KBkFZxBRbm/wOGML62tGomrga9K7j3wKBWL+rSwq4p6mhvVWtTgzraW7Wwa4pu+XAnjbIypS3QTtL7N85ziTtHBIVVOzG/ntDbg7SqZvL2CZL2VvF4qDHuuJRWzbunYe4eFrp7PGPSMXXRKKvFTCtJaqgHkaT3b9znkhl6lS94Xr2oa1gPz4wTvUPlo7cHaVV2joWZLchZdHqeZZLUIOllki6R9Gi5x8s67kWSuiSdLmmapJdIusk5d0nA7ZdKusz/8ZXOuc151mmQN3TrA5JeKalf0q8lfck5t7bAflslLZZ0saRJknbLyyH5vHNuU8CnV1e441JamMTVqOIaWx5kPHyS1SrvJ22JrEl6/1biXDLBcxJe63pVzc+3ekMuENIqSvL29ZIyGZ5O0tv9f7kyQ6T2SYojn+Jz8gKKPZKelhT4W8HM5skLKvZIGl1gHZN0i6SLJP1W0n9IGifpPZLuM7N3Oed+mrNNi6TVks6W9KCkf5d0kqR3S3qrmZ3vnFsX4jnWBWZfCaZaDfUFnZO1vGdb0bvmQe8eprVRVsuZVpLUUA8iSe/fJJ0Lwkn7jYhaifPzGqimKIHFB/xHk/Q9SbdL+mme9QYlPSepxznXF+F4GVfICyg2y+u5uCfIRmZ2nKTvSPqBvGFZXQVWvVheULFW0pucc/v97b8t6VeSvmNma5xzf87aZpG8oOJWSe9xzh32t/mBvNfle2Z2Wmb5cMEdl+Cq0VDn7mFtZ1pJW+M4Se/fJJ0Lws9sltYbEbXE5zXSquwcC+fcDf6/6yV1S7o9a1n2vxudc6tiCirknLvHOfeEcy7sfJj/5T9+rMR6H/EfP5cJKvzjPiAvKDlOXuAhaaiHY6H/499nBw9+z8YvJZ2qwoFM3WJ8bfIM97HlQYcj3br+qdiPnbZE1iS9f5N0LsNdmmY2S7vh/nmNdIqljoVz7rw49lMpZvZ+SRdKutA595wXC+Rdb6SkWfKGbf0yzyqrJM2XdL6k7/vLpsjLIfmdc+4PBbZ5o79NoN6VesEdl2QazncPgw4z2rlnQL19/bFem1GHNlS7/kWS3r9JOpfhjKJt1TecP6+RTtWcFaomzGySvJyHG3NzI/KYIi/ZfItz7lCe3z/hP74qa9mr/cffFdhnvm0KMrP1+f4pRC5JknDHBUkSZphR3LMzRZnmtFZ3iZP0/k3SuQxXaZvZDED1xdJjIUlm1ibpo5L+SlKHpJY8qznn3JS4jhngnEZIukFesvYnA2wy1n/cVeD3meXtEbcZVrjjgqQIOlZfqszsTOUkstb6LnGS3r9JOpfhKG0zmwGovlgCCzNrl5fYfKq8aVbHyGtQN0vKfNNtl3QwjuOFcIW83Ia3OudeqPKxy+Kcm5Fvud9rMb3KpwPUlQWdkwMHFjv3HKjIOYRtHNcy4RzIlraZzQBUX1xDoT4nL6i4TNIx/rKvy5vSdZakDZJ+L+mUmI5Xkpm9StKXJX3fOXdHwM0yvQtjC/w+s7wv4jYAasAbQhPsY6+pIRkjRZNUqA7DG0XbAJQS1zfn2yTd55z7fvZsTc7za0lvkZcj8NmYjhfEqfKGY33AzFz2P704Q9MT/rIL/Z9/L2963FeYWb7enFf6j9n5FL/1HwvlUOTbBkCNNIxIRsAQFHeJkRRpm9kMQPXFlWNxkqQVWT8fVlaOhXPuj2a2Sl6NiKtiOmYpWyV9t8Dv3iqvlsWP5A3d2ipJzrn9ZrZW3ixOb9TRszjN8R/XZC37vaQnJb3KzF6eZ2aofNsAqJFDh4OVkwm6XqWlrf5FKZWc3Srufefub0xro04YO1LP7Nqv3f2HKj4zV9JQtA1AKXEFFvvkBRMZu+Q13LM9Ky+puyqccw9Lujzf78zsXnnn9xnn3OacX18rL6j4kpllF8g7U1717T9J+nHWcZxfPO+fJf2rmWUXyHu7v6/H5NX6AFBjx7a1BGqoH9uWb/6J6qun4nBrN+88KhE9M7vV8p5tWrpgZtmzO8W973z76z84qGd3v5h7E9e5pwXT/gIoJa4xAU/J67XIeEzSOf6sTBlvkPRM1AOZ2YVmdr2ZXS9psb+4M7PMzL4a8RC3yKugPUvSQ2b2r2b2XXm9Fw2SPuSc252zzRJ5lbovkrTOzK4xs5v9/eyT9MHhVnUbSKq0Deeol+JwQWe3ChL0VXrfpfYXdf9pxrS/AIqJK7DoltRlL1ae+4G8mhB3mNnHzOxHkl4vKWgSdTGnS7rU//dX/rJXZC27KP9mwfg5In8jaZGkQ5I+Iemdku6TdE6+WhjOuQOSZkv6orxpZa/wf75d0pnOuXVRzglAfNLWUI9S/yJJKlkDIe59B9lfvv3/5z25HeD1KTOz2f2Lz9emL16g+xefr8Vzpib+GgRQeZaVa13+TsymS/qQpH92zj3lJz7/UF6164z7Jc1zzvVFPuAwZGbrp0+fPn39+vW1PhUg9fINc8nINNSTdue1t68/VP2LpDn7mjWB7uh3tLfq/sXn13TfQfeXyyTddPlZJa+daldRB4AwZsyYoQ0bNmwoVAKhmFhyLJxzGyR9JOvnQ5LeaWYzJJ0sLzn6AYYDAUiCcgrV1Vrai8NVcnaruPdd7gxbTipZrLCSeSYAUGuxVd4uYKukl8kbHmRF1wQwhDualZf2hnraVHJ2q7j3HXR/+ewbGFTXv96j48eMPOo9W+sq6gBQabHkWJjZR8xsnZmNy1o2Q9Lj8hKY75C01sza4jgeUM/Wbt6p2Uu6dV33FvX29av/4ODQHc3ZS7q1dvPOWp8iEqa3r19Xr9qks69Zo1OuulNnX7NGV6/alKhk4komzQfd97O79wd6bYLur5BDh13e92wl80wAIAniSt5+j7y85+ezln1FXhXu78sLLM6UtDCm4wF1qZIz56A+pSUQrWTSfJB9S4Ub/OXuL4js92ySqqinIRgFkD5xBRavlPRI5gczGy+vuvV3nXOXO+fmSXpA0ntjOh5Ql7ijiTCSHohmN17f/LVujWpqUFND/lGxUWa3KjVzVj7FXpty9lfqWMt7tiWminpaglEA6RNXYHGspD9m/Xy2/3hb1rJfSkrG/I1AQiXpjiaSL8mBaL7G6869Azo46NQ4wjR+dHOsNRBy6ys0jiid1lfstclXryFKoLFi4/ZQOR6VkvRgFEC6xRVYPC8p+xuhS14l7rVZy5ykkTEdD6hLSbmjiXRIaiBaqvF66LDTvoFB3XVlV6w1ELLrKxw/JtjXTbHXJrdew+pFXWUHF8/vHUhEccYkB6MA0i+uwGKTpHlmdqyZtUu6WN70stkVqicrhsrbQD1Lwh1NpEdSA9EkNF4r8dpEGSI1rq05EcUZkxqMAqgPcQUW/y5pgqSnJT0l6XhJ/5mzzuslbYzpeEBdSsIdzbQajsmoSQ1Ek9B4rdRrU86QK8l7zyahinpSg1EA9SGuAnk/M7OFkj7sL7rJOXdj5vdmdq6k0ZL+O47jAfVqQedkLe/ZVvRub6XvaKZRPRQdK6d2ydxpE3Rd95aS+652IJqExmtcr02xv8viOVPV29ev2Uu6A79na12csZL1RADAnHO1PgcEYGbrp0+fPn39+vW1PhVUWL5GckbmjmbSG8nVFLRhl+SiY+X+zZP63M++Zk2gxmtHe6vuX3x+Rc4hjtcm6N8lDe/Z9dte0D+t/F898tQuBfnWX9g1heKRwDA1Y8YMbdiwYYNzbkbYbeMaCgUgJvlmo4lr5px6lITx/FFEmaUnCUNr8knCkL6or02Yv0vS37Pfue/3ete1a7UxYFBBryiActFjkRL0WAD5JeHueBRXr9oUaMhOsTvIvX39NRtaU+h8ktKTUu5rE8ffJQnWb3tB77p2bekVfUnpYQFQO1F6LGLJsQCAWknCeP4owiQ6F2rAZqZFTUoDN9NbUGp4UDWCnnJfmzj+LknwudsfDbRe4wjp8jdOqVkwCqA+EFgASLW0J6OmPTDKlZ3sPHjYaXSL9zVz6PBhHdvWEltPSjnJ7mHUy9/l8R1/DrTe4GElOkCqR5W+hoFaILAAkGpJnRkpqKCBUcMIU29ff6Ib5PmSmA8cOizJ66X4ykWvjWWITTVmAUt7wJoRdLAzg6Krqx5msgPyIXkbQKoloehYFEETnfccOKTZS7q1dvPOso+1dvNOzV7Sreu6t6i3r1/9BweHGjNR9x0lCT2Jx0lCAjrilZRaN9W6hoFaILAAkGpJnRkpiN6+fv15/yEFK7EWrcFR6cZMtWbnqtZx0h6wZjQ1BL26VNdFJSsZVIeV9pnsgGIILACkXtKn+8wn09C5ed2ToYahlNvgqHRjJmiy820PPR3prnG1qnqnOWDN9tbTgvW8SKpZQ7vSktZDkITK9EClEFgAqAuZ2X/uX3y+Nn3xAt2/+HwtnjM1kQ2/Ug2dUsppcFS6MRM0ifnZ3Qci3TWuZlJ1GgPWXH93wVQ1h+i1kOpvKE7SegjqZWIAIB8CCwCosiANnWLKaXBUujETNYk5aGM26HHiSqpOU8CaT0d7q67/wOs0sinc1309DcVJWg9Bta9hoJoILACgyoI2dAopp8FR6cZM0GTnYoI0ZkmqDm/WyeN195XnDvW8BO2/qJehOEnrIeAaRj0jsACAKovagCmnwVHpxkyQZOcgSjVm/2LCmJL7SENSdbVl97yMbAr2d6qXoTjV6CEIM+NUvUwMAORDHQsAqKB8dSMaRoQb856t3AbHgs7JWt6zregQrCiNmVLVtoMq1pjt7evX4p+UriR9zTtPq9hQpXooalYvNTqCqnStm7A1KZJUmR6IGz0WAFAhhaa43HPgUFn7i9LgqMYsR8WSnY8f0xJoH8Uas0FzUx4LWG06rCRNWRrFcBuKU8kegnJnnKqHiQGAfMw56m2mgZmtnz59+vT169fX+lQABNDb16/ZS7rLvnvf1GAa19as3f2HNK6tWfOmTdT8zkmxVN5e3rNNKzZuH7rjHte+i7l61aZAd40Xdk3R4jlT8/7u7GvWBLrT3tHeqvsXnx/6HIsJ8vcc1dyg1Yu6jnodk9bLEeW5pFW+XoWMTFBdTmM+jusaSJoZM2Zow4YNG5xzM8Juy1AoAKkXd8Mtjv1FmfkpSkOnlMxY+0o1cgq9dn956gmRh2LVMgk3zJSl2a9t2GEy1TAch+JkegjiDqrD1G8hsMBwQI9FStBjgVpI2p3WfOK+ExnX/oLeXR/d0qixrU1V7T2olFKv3RVvfqW+ftcTZb+2teyxKOfYSe8ZqFXvVT055ao71X8w2A2Emy8/iyFOSAV6LADELol3WnMFHd8ctOEW5/6C3jUfPOxibwTXQpDX7ut3PaHll52l1Y89W1ZjNs4k3LBBczm9JeX2clRL1N6rNNx4qLSgifCSQn0WAWlFYAHgKHE32Csl7oZbnPsbbjPvBH3tVj/2bNmN2bhmtionaC7n7xmmMFtShskEDRbCvIaZfd7+UK+e2zMg5yQz6djRzbrwjI7YhiyOaW3UCWNH6pld+4dykyod6AQNdqXaBpFAtTArFICjhGlg11LcFXXj3N9wm3nn9od6A61320NPl32MOGa2KncWn6B/z139B4fqF1Q7JyRMLYV8gs56FeY1zN7ns7sP6NBhp0HndOiw07O7D5Q9o1a+c3129wFtfGqXnt19oGozdoWt31IvRQeBQggsABwl7gZ7pcTdcItzveFWBOu5PcFeu6DrFRJlms7evn599Kb1ZQXNQRuQew4cGmrMtgVscMbRaxV1KtwwwULQGw/X3rs5UF2TQsFcuecadf9hZILdoCpVdDBqUAnEhcACwFFqOftOGHFX1I1zvWrUjUiSoPOAxDFfSHYV6U1fvED3Lz5fi+dMLfpaZhreG5/aFegYuUFzqb9nrn0Dg9q1/2CgdaP2WpXbC5MtTC9l0BsPtz+0PVTjP2gPaDkzrlWyh3XWyeNjqdNSrnqpr4L6QGAB4ChxN8QrJe7hRnHvbzgVwbKAxcQHndPLF/9cr/n8f+uztz1alTuqYe9wS9Jzew8ctSz77zm6pXSK4sFBp8YSVdbj6LWKOnRx/bYX9L1f/SHQsTJJ90HsDVkIMu4hi+XuvxwXntERaL24hz7GEVQCcSJ5G8BR4px9p5LiSuat1P6kyteNSIpjRzfr2d1HN8bzcfKGDN207kn9eP3T+t77z4w9yMpO7H12934dOhyuq+TAwcNau3nnUeeV+Xuu2Lg9UAX19lFN2jcwGEu9iEKJ1UHzW/IliX/nvt/ry3c8Hmh7SUPHrURDtdI9pZXsYa3EZ0cQSZ95DMMPPRYAjpKW/IC4hxsNt+FLcQp6xzbX/kOHddkN8d5RzR0aEjaokLzgp9id3uB37Qdj6bUqNtwlaECXe87rt70QKqiQNBTMBNEWoFcn25jWxkB5AuX2lFaihzWT2/DX3+7R4GGnQv1TlfrsSEs+HIYPAgsAR0lTAzvu4UbDafhSnMLOjpOt/2B849/LGfZUSLHhQ2GGC5aTE5ItrueUe87/tPJ/Q+9j3rSJgW88vO30cD2az+0ZCJQnEDSwyXfuccoN9g4cOqxMCGuSmhtGVPyzIy35cBg+GAoFIK9MAzsNlXnjHm40XIYvxSkTjJbbAI6rlkM5ib3FFDqvag4XjOs55Z7L/zy9O9T2mV7KUn/rzI2HSePbdPtDvYHPvVDPUnbdHEnasz9c7kb2ucelVLDnJDU2mH64sLOin5XDrV4Oko/AAkBBNLARRm4wGmZ4U1x3VMtN7C2k0HlVc0x9HM/JJO3ef1C9ff1DDd3BEFN05fZSFrrxcO6rj5Mk/d2tj+j5vQNqa2nQwKHDZQ1Hy7ZvYFDX3LFJdz/+x9BBViV6WJOS25CWfDgMHwyFAgDEJnvYT5iGXFx3VOMe8lHovKo5XDCO5+Qk3bzuyaFhRWGCPpPyDuXpaG/V/M5Jmjttgsa1NetPfz6gm9c9qZvWPTk0nGnnngEdOuzU1GA6prVJJSbJKmrFIztCBxWjWxorMgwpKbkNacmHw/BBYAEAqIgwY+HjuqMa95CP417SUrARXq18nKDP6fgxLbrk9S8rmEAsvTis6D/v2Rz4+NNOas8bIP3s4V6d+5V7hnIMBgZfzDHIdXDQaf+hw2purG6z45LXV2bYZlJyG9KUD4fhgaFQAICKWNA5WTes3ar9Bw8XXa+1Kb47qkGHhjSMkA4fVsGGcMbDT/Vp9pJuLV0wM2+gUI3hgkGf0zvOOFFOruRz2jcwqJ8+HPxO+lVzTz1q2c8e7tUnb3k48D4kL0m/mip5pz5JuQ1pyodD/aPHAgBQER3trfrepWeqpchd6pGNI/TdS+O7oxp0aMh9f3++brr8rEAzWdW6yFiY4S5Bh+gELV7X1GCaMemYI5b19vVr0Q83Btq+Vip9pz7uYppRRZ15DIgLPRYAgNjkK+J20YwTtffAId216Y9DDdq2lkZdeMZEfeTck2Nt/ASdsaijvVUd7a1avahLH7tpgx5+qq/ofmtZZCzMc4p76M1LXzLyqGXLerZGTsaulAYzfeicV1T8Tn3Y5P1CxQ0XdE6m8Y+6QmCBYY8PfCRBsetQUiqu0bWbdx7V+O3t69dN654cavxWqg5I7us3prVRrzp+tHbs2q/d/Yc0rq1Z5009TofdizMWZV7HHbuC9UTc+OttRzVY8/3dul59nEzSvb/9U+C/V6nPoezhLrc99LSe2zMg5yQz6SUjG/XzR3do5aM7NHCo+LCzjLaWxkCVw/PdcQ9a6bsWPnTOK44I/gq9rn956gn6xWPPhH5PZe8vUxAvX4g1wqSWxhF689e61dbSoL59B48IxjI1Or5z3xaNbW3S/oOHC55Db1+//vOezfrpw9uPCMzfdvpEfey88gLzMN971fqOrIfv4rDPoR6ecy5zIaabQ+2Y2frp06dPX79+fa1Ppa7kawhlVLohBGQUuw5bGkfI5FWozmWSmhtHaPzolpp/GfX29Wv2ku6Sd3BXL+qK/RyDvI8lxVJkLvtzodhxS20b9vwz24Q9ZiFvmvpS3f34H0uu942LT9fbTn+xqvrazTv13qXrIh27UkzSr7JmIyvntWpqMH3t3dOOeM4Zcb32peReYx+8/oG873/J+3z4/vvPDPU9Fdf1Fud3ZD18F4d9Dkl+zjNmzNCGDRs2OOdmhN2WwCIlCCziV8uGEJAR5DoMqpZfRlev2hQowXhh15RYhxMFef1amxrk5EomkQc1qrlByy87S/O/u66sv9vxY1p04RkdQ71RQT+Hgqwbt+zPwDiv1Upobhih3315jqTo76vcgKrazz1zjV2ydF3JpPeRTSN095XnBvqeCvO9JwW/NqN8R9bDd3HY55D05xwlsCB5G8NWmAJHQKXEWSm6lknGtZrXP8jr139wMLagQvJe5y+u/N+y/27P7j6g67q3aPaSbl19x6bAn0NxVxUPIvszsBbHD+O4l7QM/T/quS764cYj3kfVfu7eNfZYoJm09h88HPh7Ksz3XrW+I+vhuzjsc6iH51wIgQWGraQUOEJt9Pb16+pVm3T2NWt0ylV36uxr1ujqVZuq3iiPu1J0rb6MajWvf9yvX1APP7Ur8j72DQzq548E/xyq1XPNfAbW6vhBZeeDRD3XQ4fdEe+jWjz3R58Ofo0F/Z4K871Xre/IevguDvsc6uE5F0JggWErKQWOUH1rN+/U7CXdQ4W9+g8ODiVTZioTV0slrq9afBkFna8/7nn90/7+DDoY+fm9AzV7rpnjJv21nn3q8UP/j+Ncs99HO/cciLy/sAZDDFWP+/sszPUW9bWuh+/isM+hHp5zIQQWGLZq1RBCbfX29RdNwKz2cKJKXF+1+DKq1bz+cb5+x49p0eiWZE6WOK6tuWafRZnjtrWUrvlRS6sfe3bo/3G8Vpn3UW9ff+DZtuLUYMVqqB8p7u+zMNdb1Ne6Hr6Lwz6HenjOhaQusDCzi8zsm2b2SzPbbWbOzG4ssO4rzewfzGyNmT1lZgNm9qyZ/dTMzitxnEvN7DdmtsfMdpnZvWY2t8j6DWZ2hZk9Ymb9Zva8md1hZrOiPmdURtIKHKE6kja2Neh1GEY5X0ZRh4aFKeIW57nF+fq944wT9b7Xvyy2/cXp3Fcfp/EvqU0jY960iert61ffvoM1OX5Q2T0McVwXmffRsp6tgXuW4nTaiWMDrxv0eyrM914lvyOz39PP7t5fseNUS9jXqp7bH6kLLCR9TtLHJZ0uqdRk2l+UdI2k4yXdIelrku6X9FZJa8zsk/k2MrOvSrpe0gRJ35F0o6TTJK0ws4/nWd8k3SJpiaRmSf8h6TZJ50i6z8zeHuYJojoq2RBCciVtbGuQ6zCssF9GcQwNyxRxK/Rcyq2EXOrc/mLCmJKvX2tTg0Y2Ff+6y7zXK/H3KKXUfemWxhH6yYZebYwhryOsUc0Nmn3q8froTesTWxQvI7unLo6/Y+Z9VIv8ilHNDbpq7qlqbSr9HEY2jQj8PRXme69S35G57+kg11XSv4vDvlb13P5IY2BxhaRXSRoj6SMl1r1T0nTn3F845/7WOfd/nXPvlPQmSQclfcXMjggb/R6GKyX9XtJrnXNXOOc+JmmGpOclfdXMJucc52JJF0laK+l059zfOecuk3SepEFJ3zGzl5T/lFEJlWoIDWdJSYguJmljW0tdhy2NIzSyMfhHddgvoziHhmWKuC3smqKO9la1NjWoo71VC7umaPWirtDT4AY5t8U/eVTXvPO0gq/fyKYRevMpLy06xCm3GvfSBTPV1BB8GEpUc187oej5y7lAswNVwhVvfqXmf3ddLEHNqOYGffYtUws/1xDXeT7ZPXUd7a265p2nlb2v7PdRtYcWZq7HGZOO0XcvnVn0dWlpHKHvXXpm4O+pMN97lfiOLPWejus41Rb2tarn9keq61iY2bmS7pF0k3PukpDb/kLSbEkXOed+nLV8maT5kj7onPt+zjb/JOkqSf/knPt81vL7JL1R0vnOuXtytim4v5DnSx2LCunt69fynm1asXH7UOXLedMmHlVhF8UludhPtrOvWROokdzR3qr7F59fhTPyFLsOJQ397k9/PqCDg4fzDs0o53WuVf2JIMKc2/zOSUe9ftNf1q67Nv2xYKN8fFuzLpp5Ut73+ln/fJee3R08YbfBTGYKfVc/u2ZAvr//E8/+OVAhu2wmrxr37v2lK2uXMrJxRMHibMU0jjC1j2rS3gODR32mFrvW3/mf94d63bNlrtFMNeObfv1koOriuXLfR0E/M6LqaG/N+93T29eva+/drNsfOrLy9ttPn6iPRqi8HfR7L87vyKDv6cYRpuPHjEzdd3HY1yqp7Y9hWyAvYmDxc0lvkXShc+6nWcufltQhaaJzbkfONp3yeiV+5Zx7o79spKQ9kg5IGuucO5Szzd9IulnSjc65+QHOq1DkMHX69OmjCCyQREkv9pMtyQ3poOL8MkpqoCVFO7eo1+QpV90ZqpdgYdcUrdi4PVQDtFQg2NvXrzdcsyb0+P6RTSM0wqwmNSdGSPqwH+iFvZMdNRhYvahL23buDX1HvMFMzY0jCr6Pgn5mRFGL91ctJPnzBi+KElgkc/qLCjOzSfKGQ+2TdF/W8jZ5QcWe3KDC94T/+KqsZVMkNUjakhtUFNkGqCthEqJr3Vhf0DlZy3u2lWxwJnlsa0d7qxbPmRrLa5m0oWHlHDPfelGvyXFtzYGDhMz18v37/xBofenFXpZije9yk4YbR4woq3Eeh9ee1B76uizW2xnUqOYGfeuezbptQ2/oYWPNjSO06YsXFPx9kM+MqI57SYt6+/prfuOl0pL8eYN4pDHHIhIza5F0k6QWSV9wzr2Q9evMFAyFBpNmlrdH3KYg59yMfP8kPR5ke6AWkpYQXUw9j20tR5KnPYxyblGvyTCzCg0edvrrb/focMARAKNbGrV4ztSS19jtD5WanyR5duwKN2SonDH3+ezcM6Cb1z1ZVi5Kqeus1GdGHB5+qq/qNXRqoS3ga5jGaVbhGVY9FmbWIGm5pLMl/UDSV2t7RkB9SNtdqEyScRLHtlbb3GkTAg3zqMW0h0HP7bypx+nqVZu0cuOOob9l0CksC12TYe5SHzh0uCJj8J/bE/79Mqq5QQcHq19zIWN3f7iekiA9S5WW79rODM3KvqbecUaHJOmnD2+vSI9QZqKEJAwZrYTevn7t2h9syuI0TrMKz7AJLPyg4kZJ75b0Q0mXuKMTTDK9C4Umj84s74u4DVBXgg4bSdJdqDiHE6VZkoeGBTm3kY0jdOv6p7X/4IuN6TCN/P6Dg3r54p+rraVRbzt9oj7mJ8Nm7lLHcTc916HDwRr+YVMgM71tV/zw4bIToKMK+x6vxVSu2fJd2/mGZvX29eumdU9qVHODrnnnaVr8k0crEhAlZchoJSzr2aqDg6Uv6sYRluihqChuWAyFMrMmSf9P3rSwN0t6b758COfcXnm1MUbnTkPre6X/+LusZb+XN6XsK8wsX6CWbxugrtRzsZ+0CTvlb5KHhpU6t9amBjnpiKCiHE7SngOHdPO6J3X+V+8dGo6Sb/rcOCpzH9vWEmi9EIWXj5jS94SxI8s8s+jCvsdr2YuZ79oOMsXx3//4kaJTHEeVhCGjhUSZUjxoENk+qqkue2yGi7rvsTCzZnk9FG+XtEzSB5xzxb6F1sibHvYCSbnTw87JWkeS5Jzbb2Zr5U03+0Z5s1QV3QaoN5W6651vOMLcaRO0oHMyXzx5FLrTel33Fi3v2VZwBqIkDw0rdm679x/UzeuejPV4Bw4d1gdveEB3X3nuUM9Fds/W2desiTwMJmjj+9jRzYF6Ho4f03LEHe5ndgUbBha3Yu/x7Pfyzj0H1NTg3desRX2O0S2NuuT1k/Je20GGZu0/eFirH3v2qOtyTGujntszELmQYLFgq5afieV+vmQEDSL3Hqjt0DhEU9fTzfqJ2j+RN63sdyV9uERQkSmQd7+8nogzM8ndflG89ZLaJE11zm3N2iYzpexaSW9yzu33l58p6Vfyhkud7JzbHeG5UscCiRZ3HYu01MVIijRN+RuXStYXKDTdcNhpaHOZvFmIxo9uKdggDDv16iWvf5naWhqHGpv7Dw6WNZtUFCObvEJt+d6TP3u4V4t+uDERlbtz3wO5DfWBQ4c1GKBdZJJ+tfj8o/52xT63TAr0dyk01WotPxPj+Hxhqtn0iDLdbOqGQpnZhWZ2vZldL2mxv7gzs8zMshOyvy0vqNgpb4jTP5rZF3L+nZu9f+fcWklL5E0j+4iZfd3MviXpQUnjJH06O6jw3SLpVkmzJD1kZv9qZt+VF/Q0SPpQlKACSIM4qy7HWQ16uAgzvWq9CHoHtHGEqaO9VWFqaRcajhI1T8jpxWTv67q3HDUT0NrNOzV7Sbeu694SKKjI5Jhc171FvX396i8jqGhtaog8rOeiGScWDCo+ecvDiQgqJB0x9OlnD/fq3K/cc8RrFySokLy/Y773UrHPwfee9bJA+y6UTF7Lz8Q4Pl8YMjs8pHEo1OmSLs1Z9gr/nyRtk/Rp//8v9x/HS/rHIvu8N/sH59yVZvaopI9J+rCkw5I2SPqKc25l7sbOOef3WqyV9EFJn5C0X16NjC/5wQpQ9+JKiE5TXYxyVGI4Q5jpVdP4muUTdNKA48eM1P2Lzw/V21AoaAk6U9XpJ7XrT38+oOf2HtCBg/krpUtHzgQkKVSyeGtTgw47pwMRckwyd7ovu+HBsvchSfc8/qejlvX29evKH22MtN84HT+mZSj4yQQ8URR6LxX6HOzt69dtD/WWNWS01p+JcXy+JHmiCMQndT0WzrkvOOesyL/JWeueW2Jdc859ocBxrnfOnemca3POvcQ515UvqMha/5Bz7uvOudOcc63OuWOcc28hqADCS1NdjLCy70hn7pIWunsdRtqm/I1D2DugYXobCq27oHNyybv7o5ob9K33Tdf9i8/XpbMml+xByDQIg069OrqlUQu7pugd0zt04FB5QYXJG0KV6U2M2hNTqEhhkFmACp1f3N5xxomSpPXbXtCnfvBw5P2FfS9FmSihGp+JxRKz4/h8SfJEEYhPGnssANS5em0kBx3OUE4eRBqn/I0q7B3QoL0NUvHaBqOaGgoeM7dxVIkG4djWJi2eM1VnX1PenCD5xuOHeW3yiVKkMFdrU4PuuvLFxOhnd++PZSjVn/cfHMr3iGNk1sChwzrlqjtD9TgWm4xg9qnH6xePPaO/u/WRo3oyK/2ZWCoxu625IVBvX6nPlyRPFIF4EFgASJx6bSRXcjhDkgvdVUqpWhO5jfwFnZO1bO22kg2kkU0jAtU2yHbMqCZNOrZNO3b167IbHhxqFO7cE6yeRJgGYWbdsI3I48e06B1nnHhUA663r1979h8KnFycT77rKuhzzzWurfmI4URxJenftO5J3RTjLGKDzh3R4xhkZiQp/1CptZt3av5311W8YZ9PkBseQYfnBfl8oYZQfSOwAJA49dpIrmQeRJTxy4VyPv7y1BP0i8eeSfR0v2HugHa0t+q7l87UB69/QPsLDCFqafRmN8qeNeg/79msm9c9WbTR/cK+g3phX9/Qz5lGYdAhPZkGYZiAOmgAnvGOM0486rpau3mnLrvhwUgzXeW7rnr7+jVQ5jCt3Pd1Wnom9w0MasH3fqO5r52gB7a+EPg9E6RhH7SaejmfiXFVPyc/AlIKcywA1L+g49jT9iVWyeEM5Y5fLpbz8a5r18aeCxK3TFCUHVTMnTah4LCKWSeP192fPleXvP5lGt3SKJM3nn90S6Ped9bLtObT5w7dcV67eafe9LV7dVOJoKKYoNvNmzYxdM5I0PUzcodb9fb164PXPxA5qMh3XS3r2VrWa5avtyhNPZOHDjvd/vD2UO+ZIA37g4NOjSOKh6nlfibGUf2c/Ahk0GMBIHHCDnFJi0oP8Qo7frnUndJCouSCxKncgl0d7a360oWn6UsXnlZw3719/frA9Q+UnRwdxqjmBs0+9Xj9ZMPTJYcjZTceg/RSZcsNWP/zns0Fe26COP2kdn3rfdMjJRsfxUnbdu49Yp9R8z/K1ThCuvh1L9M9j/8pVI2LfDLvmeWXnXVUL+Cu/oOB9tE+qqngsKQon4nl9gg1jjAdP2Yk+RE4AoEFgESqxyS/agzxCjN+OcoQiFpP99vb1190CE/U4Odb92yONagoFDCMbBqhaSeO1UXXri15hz+38ZgJwN+3dF2g3oHcgPWnD5c/g1Bm5qtCr225jdX9hw4f9XcLG0DFZclfn663nd4x9HPU4oj7BgZ18X/1HDFTVpihbHsPDB6R1B7XZ2LYIXUZmWmcgWwMhQKQWJlG8v2Lz9emL16g+xefr8VzpqYyqJCSN8Qr6hCIWk73e80dm0o28qIUBPxZhEZ3Pi1NI44qmjbvtRPknNSz5fmigYFJet9ZL8tbaHLWyePLLry2N0ABvnyC3B2PMnwp9+9WaphfqSFCYY0w6RsXHxlUSPEMySp3+t3M8SvxmRh2SF1GWnJfUF0EFgBQJUmbxz1qw6BWDYvevn6tfKSy8/qX2+gu5Ni2liMahD9c2Km7H/9joF4RJ+klI5sKXhcfPe/kqgWsp5/UnjfAkY6sg/Ds7v2RjpP9d+vt61f3E3/SS0Y2qnGEqcHMH4bTooVdU/SDv+2MXDk8o3GE6UcLZx0VVEjlN8DjUqnJKoLc8MgnTbkvqB4CCwCooswQr9y71wu7phRssFVK1IZBrRoWYRKDk3JXNbdRGHYYWrEAKROwtjblbxy2NuUPWNtawo+G/tOfD+QNcHInAYhadyLzd8ve77O7D+jQYadB53TosNOf9x/SOa8crxmTjikasAc1qrlByz74Os2YdEze35fbAI9DJXsyS93wKCRts/KhOsixAIAqS8o87lGTYmvVsAgzhKvc4Ke1uXARvLDyNQrDDkMLEiC5AuHWwOCgPnnLQ9p7YPCI6U/fdvpE3RyyrkO+8yh3EoBiMuP+S03DetkND+od0zvU/ds/6VDAKVkLmX3q8Zo0vq3g7zMN8Eu//5tIQ5rKccWbX1nRnszsnLbbHnpaz+4uXoMkTKBTaDrrJE1bjfjQYwEAw1SUO7C1nO43TC9EucHPpGNHBVrv2LZmfePi00MPbwvbk1IsQMo0wPcfzN+wHjws7dwzcNT0p69/+Ti1NIZrBuQ7j7jqIGSbN21ioP32HxzUzeue9OpmRGzs//Th7SWnUp518njd8uHO2PM6Svn6XU/EUiSwmMwNj3WfebNuvvysWIZsFpvOOknTViM+BBYAMEyVOwSi1tP9Bu2FMKns4Cdow7+xwfS20ztCD28L25NSLEAqp2G/b2BQi3/yqL5y0Ws1sil4UyDfecRRByFbJmiNe79BZGYTK9aInzHpGC374OuqOiwqykQE5Zh18ngtv+wsnX7SWDWYF0Q1mOn0k8Zq+WVnFRyymZ1n8+rPrdL7lq4r2uNU6rVG+hBYAMAwVizn48cfmZWIXJBcQZNo5752QtnBz+7+YMnbmfXCztYTJhG4VO9QuQ3wfQODWvTDjRrb2qRTJ7yk7POIM49lZNOIoaC1VvkxpRrx+ZLJq9GBUc1Z2NZu3qn5312nh5/aNVS7Y9A5PfzULs3/7rq8PQ25vRMHDh0umQtV7YAJlUeOBQAMc8VyPmZMOqbmuSC5gtQ1GNk0QovfckrZx6h0McOgtRkKJV5ni9IAP3TY6dndB/Ts7gMa2ThCTso7U1WxXqpy6yDkc9GME4eC1jj3G9aKjdvzXvf5ijJWS7UCrSC5Lbm1RqLk2RR6rZFO9FgAAFIlyLS937v0zKrM7V9uDkep52CS5r12gu66snTvUFyzc+0/dFgjzHTh6RM1uqVR5p/H6JZGveOMjoKJzXFOw3rP43+qyH7DqlaSehj7Dw7q7GvW6OpVmwIHXNlDk0656s5A2wcZWpfb0xAlzyYpM7chHgQWAICqKqexk6vS0/ZWo5hhsefwq8Xn65vvLVzZOlucDfD+g4P66cPbtefAITl5NTT2HDikm9Y9WTDZNs5pWJ/b++JsRLWc3rVaSephOClU4nO5idNBh9ZlD82Kkg9DPYz6Ys5Vd8o0lMfM1k+fPn36+vXra30qAFC2YkNJMsNtapm/kS1J51psys5ndu3Xu65dW5XzGNXccMQQmIw4hwjNe+0ELX7LKepob63Z0KOFXVOOGp5z9jVrEpVoXOhvIXnXy+wl3UVft0Lbn3LVnSWr2kveML27ruzSsp6t+q/uLYFry+TK91qjtmbMmKENGzZscM7NCLstPRYAgKoIOnY7KY23pBQzLHbn+dyv3KNv3bO5KuchFU62LfRaXfL6l6khZEtjxSM79OaveXfUi+03zGxWYTSOMM0+9fijlu/cU7y2Q7UVS3wuZzhTRtAehLaWhqHrstygopbTVqMy6LFICXosAFRLpQpaXb1qU6CCfNzBfFGQO8/V1tHeqvsXnx9o3aB/83xMUkvTCB3b1pL3+ivWmzGyaYTkvLyRcuT2SK3dvFPvW7qu7AZ0WCYFOlahv0XQ3pXM9tnv+Wd37w9UOb1xhEWqsJ60Hkq8KEqPBbNCAQCG5GusZe6OL+/ZdkRDIGwAEmbsdpoCi7gCsXz7Gf+S5kQFFVK4ZNsoY++dpP0HDxe8/rKrRa/YuH3oNZs3baL+vP+gbgpZVTxb9sxHknT5sgerFlRkptoNMhzp+b0Dea+bZ3fvD3Ss5/cOlDXcrKnBQlcfzw4U502bqPmdk6i8XYfosUgJeiwAVFqYcdnbdu4NnX8QZuz2pi9eEP4J1EBceRhrN+/UB294oGD17CQJ02MR9G8eVLG8gmwzv7RaO/dEn22ocYRpZFOD9hwIVtckDgu7pmjFxu2BehzGj/YCz3KDz+PHtOjP+w+F2n5Uc4NGNTVoZ8jZnD77lqn60DlTwp4iaoAeCwBAZEHHZV9772b9ZENvqHnupcrXhggqzh6GUjkjH7zhAb1r+om697d/Knis3r5+feD6B/LWj0iiMFPsxl2LIpMXML9zUsG/oaRYggrJq/NRzaAik3Pg5AINIevbdzDScKQJY0fq2d27Sq7XOMJ0/JiRQz0Nb/5ad+hjff2uJ/SW106kl6LOkbwNAJAUfNjK7Q9tLysxtNK1IYIodwrOfIIEYvsPHtZN654seqxv3bM5NUFF2GTbStSiuHX9U0X/htfcsSn2Y1ZDdhHCIFPtNjVEz3HYsSvYkKnjx4w8opp8OcE/VbaHBwILAICk4GPn9wa8g5s9z71UndoQxcQ9K1WU/IHsY/3s4e2lNwjAYtlLYcWqbxdSiVoUO/cMFP0brnyk/L9LXII8Z5PU0jgi70xjQYpAjh3ZFOn8li6Yqd39wd7LuZ8N5QaMuZ8JUjx1bZAcDIUCAEiKf9hKbmMk01gqlZNQqaESYabgDJI8HrVicOZYQQO1Ut73+pdpdEtTqEJuhWYfamowjR3ZpL0Dg0MJ0eUk23a0t+qKN79SX77j8VDbRZGEzNEgr7+T9IGzX17wWiuWnB5mOFJmGFPu9pmeh3KGJy7onKzlPdtC53bkvmfCTBZRCZWaAW84I7AAAEjy7kIGGdfd1tIYaNx5vuESk8a36cIzOvSzh7cPNajbWhp14RkT9ZFzT67ol3ncs1LFEYjlu4NbjlHNDUOv34qN27VvINh5NTeO0AfOfnnehmscf4vevn59/a4nIu+nXpW61jraW7V4ztS86wS9/jLDmPIJ+p7PHZ5Y6iZBIdmfCUF7EIMk65ej1kFNvWIoFABAUvChSm87PVgORG5jJJPfcPO6J7XnwCE5eXdt9xw4pJ9s6NW2nXvLPPNggvYwBF0vjvyB5/cOqK0l2j2+3J6eMD0p40e3aPGcqbp/8fna9MULjhhHH4cwvSfDUZC/VaGhQl2vPi7QMYrlLEUZnphdvHB0wGs4+1yiFPGLKm3FOtOEwAIAICnYuO6lC2bqY+edHLoxkoQv8qAJp0HXiyN/YFxbs94eMFCTvCFKx49pKVoFPExibSUS5bMbwv9VZnG8qCqdbxKXhhFWNLeg2GQDt23oVUtj8WZcqZyloO/5QoFmpkflv684J/RnQpgexLjVMqipdwQWAIAh2XchO9pb8zZgy2mMJOGLPO5ZqUq9DkGP9dHzTtbIEg3EjIODTu8448SivQtBn2fjCIs9UT63IVyrfIe5r52g1qZ4k8YrYc+BQwVnDCsVjPcfHCw6K1TQnKUg7/lSyvlMiLsHMYxaBjX1jgJ5KUGBPABJ09vXXzCxNLcxc/Y1awL1RoQpvlbO+QYtABi2nkXu63Duq4/TTzb0Fi0Ol32stZt36n1L1wVqiJd6jYI8T0n6xsWn622ndwQ4YjC9ff1609furXmRv8zr+q17NuvmCNW3a2lUc4MuPKOjrPM3eYHV4recUvUE5LR8JtRjsc44USAPAFB1xRJLc9Xy7mRGpWalKvQ6vPW0CYGPNevk8WpuHBGonkWp16jU82xqMH3t3dNiDSok6eo7NpUdVDSOkOIo5ZF5XSXFNo1vLewbGCz7/J2kux//oxa/5ZR4TyqAMJ8J5SaOxyEpxTrrEUOhAAAVF3d+Q7niGPZRqWONH90SaL9BXqNZJ4/X8svO0uknjVWDeRkHDWY6/aSxuuXDnbEHFb19/fp5mfUjRjU36Ad/O0vzXjshUm7E6JZGrV7UJUmavaS7qhWzKyHKNMRpyA+oZV2bJBTrrFf0WAAAKq6WdydzhbmrWs1jxfka5ZtKc9A5PfzULs3/7rrYp9Jc1rO1rHyKTA/DjEnHaMakY7T4Ld5QmtseelrP7j4Qal+XvN5rgIadAjWq8aObtW9gMHGzXwWdNrlWalnXJkgdjkoW66xnBBYAgIpL6xd5NQtoxfUa1aI+QNgq5A1mOu3Esbpq7qmaMemYoeWZQMzJBQqyMjKvSy2mt71oxkma3znpiNyCtuYG7dp/UAcHjw63ChUlzBW0Xkwh5Q4rDHrNx/HeKFUEsFI5IrUu1lnPSN5OCZK3AaRdvrvoGZkv8iQVpKrF+cZxzKtXbQrUKF/YNSW2O9pBk2FzFXpOQRN7c/cRZrs4FEv2L5TIvHv/wUBJ2Ze8/mX6yYbesgOl48e0aN1n3hxqm6DXX9rey4WESTYfTqIkbxNYpASBBYB6kJYv8krNIBX02FFeo1rMthOlQZ/vdQwaqDSOMHX//XlD25Yb4JQjuwEd5u59mGtr2869ZQ/tGmHS37zuZfroecEq2gc9r+WXnaX5311Xk/cGqoNZoQAAqVDN/IYowtTdiPu5lHqNSjViazEDV9D8kHzyvY5BZ+05fszIIxqvY1obYw8sjh/TogljW7VjV7929x86KtDLd/c+U5Niec+2o+7ehxmG09HeetRQoQOHBlWkfMWQw066ad2T+vH6p/W9959Zsgch6DX/xZWP1ey9geRjVigAAHIktYBWsUrMmcJqtZiBK2oV8tzXsdxZe04YOzLQdk0Nweaf6mhv1brPvFm3f+xsrfvMm48qTFhuRfkwM4ZlAs37F5+vTV+8QC2N4V7n/YcO67IbSle1D3rNP/r0rkDrUVxueCKwAAAgRxLqbuQK2ojtevVxgfYX5wxcUauQ576O5U5F+syu/YGO19QQrPlT6jWKUlE+N2AoVEk9VzkBYf/B0tPPBr2WBwMOoa/mewPJQWABAECOpNTdyBa0ETvCVJP6APnuwmdqaJSS+zqWClRyZ+3p7evX1as26Y8Bp6g9eOhwLK9R0Lv837lvi0656k6dfc0aXb1qU6QE86C9ObluXf9U0d/HfS1TXG54IrAAACBHEgtoBW3E3vP4n0I1yuOUexf+8nNeHmi7fK9j0OFC2cPDgk5Hc+iw0zXvPC3yaxTmLn++YWvlKHfY2c49A0UDmnIDlkIoLjc8kbwNAECOJNbdCDM8q1b1AXJFfR2DJLKXM2uSk/TYjj9Hfo2CJpnn2jcwqPctXafmxhEaP7olVP2HUsnfxRRLqA7ytwoqiTVpUB1MN5sSTDcLANVVbK5+SRrf1qx3zTyxIsXy8qnFNLJxiFrzoNgsWMt6tpY9G1Ucr1PQmiFBhK3/0NvXr4/dtEEPP9UX+BilnnOpaz6INNWxQH7UsRgGCCwAoPoyNSVuXf+Udu7J32NQrYZULQrfhVUoCPjLU0/Q6seeDd0zUCooGdXcUPDvUkprU4M2ffGCsrbNCFL7IYyw9R96+/r1pq/dq/0HDwdaP8hzzq6jEqY3pqO9NZE1aRAegcUwQGABALVRy2J5STyPQuKuxhx3oz1XXD07cdzlzxY2MFy7eafeu3RdoHXDPue09pIhmiiBBcnbAAAUEWVK0TiFnSmpmsqt51BMkNc9iriSi6PMhpVP2PoPs04er/ed9bJA64Z9zkmcxADJRmABAEARSSqWF6awWjVVIvgK+rqXI+7k4nJnw8qnnPoPHz3v5IpMMVxuPZFqy0w3fPY1a2Kb1hflIbAAAKCIpBXLK7ewWiVVIviq1OtZjZ6dKJXIy6n/UKnerCT3kmUEqUaP6iGwAACgiCQWy0uaSgRfQV/P8W3NBRu+TQ2m8W3NVe/ZiVKJvNxhRZXqzUpqL5lUmSF4iIY6FgAAFDF32oRAszEN53HmQes5hAm+gr7uF808SfM7J9W8Zkeu3Foiz+09oAMHDxct4hd1WFGpuh9J229UYYbgJe3c61XqeizM7CIz+6aZ/dLMdpuZM7MbS2wzy8zuMLPnzazfzB4xs0+ZWcFbCWY218zuNbNdZrbHzNaZ2aUljnOpmf3GX3+Xv/3ccp8rAKD20jLOvJYqkeQb5nVP4vAw6chha49/cY5uuvysRA8rSpsk5T/Bk7rAQtLnJH1c0umSekutbGZvl3SfpHMk3SbpPyQ1S/q6pFsKbPNxSSskvUbSjZK+I2mipOvN7KsFtvmqpOslTfDXv1HSaZJW+PsDAKRQGsaZ11olgq96fN2TPKwojZKW/4QU1rEws/MkPS1ps6QuSfdIusk5d0medcf4642VdLZz7kF/+UhJayR1Svob59wtWdtMlvS4pL2SZjjntvrLj5H0gKQpkmY553qytpkl6X5Jv5d0pnPuhax9rZfUJmlqZl9lPm/qWABADWUXDkvKcJskibuORQavOwqhzkZlRKljkbocC+fcPZn/W+l5oi+SdJykZZmgwt/HfjP7nKS7JX1ER/ZcfFBSi6R/yQ4EnHMvmNk/S/qupIWSerK2Weg/fjkTVPjbbDWzb0m6StIHJH0+4NMEACRMUseZJ0VuTkFcQQCvOwoh/yl5UhdYhJQJT+/M87v7JO2TNMvMWpxzBwJssypnnSDHWSUvsDhfBBYAgDpGEIBqWtA5Wct7tpWsRj+c85+qLY05FmG82n/8Xe4vnHOHJP1BXnD1ioDb7JA3ROpEMxslSWbWJqlD0h7/97me8B9fFeSEzWx9vn+S+JQGAADw1WMeTtrVe4/FWP9xV4HfZ5a3h9ymzV9vX5nHAAAAQESVGoKH8tR7YJE6hRJl/F6L6VU+HQAAEEJvX7+W9WzVyo07hhq5c6dN0ILOyTRyK4QheMlR74FFprdgbIHfZ5b35Wwz3v/dc0W22ZXzGOYYAACgzuSbGau3r1/XdW/R8p5tZc+MBaRFvedY/NZ/PCq/wcwaJb1c0iFJWwJuM0HeMKinnXP7JMk5t1dePY3R/u9zvdJ/PCpnAwAA1Ifevv6C0+1KXgXoy5c9GGh6VCCt6j2wWOM/XpDnd+dIGiVpbdaMUKW2mZOzTpRtAABAnVjWs7Xo7ESSF1ws79lWpTMCqq/eA4tbJe2UdLGZzcws9Avkfcn/8dqcbb4v6YCkj/sF7jLbHCPpM/6P387ZJvPzZ/31MttMlvQxf3/fj/JEAABAcq3cmG9iyKOt2Li9wmeCtOvt69fVqzbp7GvW6JSr7tTZ16zR1as2paK3K3U5FmZ2oaQL/R9P8B87zex6//87nXOfliTn3G4z+5C8AONeM7tF0vOS3iZvWtlbJf0ge//OuT+Y2d9J+oakB83sB5IG5BXbO1HS17KrbvvbrDWzJZIWSXrEzG6V1CzpPZLGSfpElKrbAAAg2Z7fOxDbeiSAD19pz9NJXWAh6XRJl+Yse4VerEWxTdKnM79wzt1uZl2SPivpXZJGStosLwj4hnPO5R7AOfdNM9vq72eBvJ6dxyR9zjl3Q76Tcs5daWaPyuuh+LCkw5I2SPqKc25lWc8UAADEppIN9nFtzYHuKI9ray76+7Q3LNMqCcFc0Dyd1Yu6EhtgWp52NRLIzNZPnz59+vr162t9KgAApE6+BntGppBalAb71as26bruLSXXW9g1peC0qL19/Zq9pLtkJekkNyzTqNLXRlBxXENxmDFjhjZs2LChUAmEYuo9xwIAAAxz1ZixaUHn5IIVoDNGNTdofuekgr8nAbz6kjSbVz3k6RBYAACAulaNBntHe6uWLphZMLjI3Pku1tNQDw3LtElSMBdnnk6tpDHHAgAAILAwDfbcISZhxt7POnm8Vi/q0vKebVqxcfvQ+vOmTdT8zkklhy9Vs2GZhJyCJIhybcQtrjydWiKwAAAAda3cBns5idQd7a1aPGdqWY3QajUsSRB/UZJ6CeZOmxAox2LetIkVP5dyMRQKAADUtaAN8YYRNlQ74Kx/vkuXfv83VR17P3fahEDrRWlYJimnIAmCXhvV6CWII0+n1ggsAABAXQvaYN9z4JB6+/rVf3BQz+4+oIODxWfOjHvsfTUalknKKUiCagRzQcWRp1NrBBYAAKCuBWmwlyvOROpqNCyTmCBey0rTSeslyOTpLOyaoo72VrU2NaijvVULu6Zo9aKuxA9Ro45FSlDHAgCA8hWrVRBFa1ODNn3xglj32dvXX3YCeCmnXHWn+g+Wfg0q8bzySUINiSScQ5JEqWNB8jYAAKh7hWZs2tV/UHsOHCp7v5UYex8lAbyUJM08lJRK01Fn88KLCCwAAMCwkK/BfspVd0ba53lTj4t6WlWVpJmHwuR7VHqq10oGc8MJORYAAGDYinpnPm0jypOUU5DEfA9EQ2ABAACGraCzAhVy72//FNOZVEeSZh5KUg0JxIPAAgAADFtRZ4xKY6M3KTMPJamGBOJBjgUAABi2Mnfwy50xKq2N3iTkFCQp3wPxILAAAADDWr5ZgRpGWKDZosI0env7+rWsZ6tWbtwxNPPQ3GkTtKBz8rCceWhB52Qt79lWNKBLeqVpHIk6FilBHQsAAKqnt69fs5d0l2z0Bp0KlVoJ+fG6JE+UOhbkWAAAAOSIM8k5aL2GalSaTpqk5HsgHgyFAgAAyCOuwmlJqteQREnI90A8CCwAAAAKiKPRG6ZeA41rpBlDoQAAACqIeg0YLggsAAAAKoh6DRguCCwAAAAqKGh1b+o1IO0ILAAAACooSHVv6jWgHpC8DQAAEqXeCsmVqu4dZupaIMkILAAAQGLkK5jW29ev67q3aHnPttQWTItr6logyQgsAABAIgQtJBe02nXSUK8B9Y4cCwAAkAhhCskBSB4CCwAAkAhhCskBSB4CCwAAkAgUkgPSjcACAAAkAoXkgHQjsAAAAIlAITkg3QgsAABAIlBIDkg3AgsAAJAImUJyhYILCskByUYdCwAAkBgUkgPSi8ACAAAkCoXkgHRiKBQAAACAyAgsAAAAAERGYAEAAAAgMgILAAAAAJERWAAAAACIjMACAAAAQGQEFgAAAAAiI7AAAAAAEBmBBQAAAIDICCwAAAAAREZgAQAAACAyAgsAAAAAkZlzrtbngADM7LnW1tZxp5xySq1PBQAAAHVq06ZN6u/vf945d2zYbQksUsLM/iBpjKStNT6VaprqPz5e07NAWnH9ICquIUTB9YOoanUNTZa02zn38rAbElggscxsvSQ552bU+lyQPlw/iIprCFFw/SCqNF5D5FgAAAAAiIzAAgAAAEBkBBYAAAAAIiOwAAAAABAZgQUAAACAyJgVCgAAAEBk9FgAAAAAiIzAAgAAAEBkBBYAAAAAIiOwAAAAABAZgQUAAACAyAgsAAAAAERGYAEAAAAgMgILVJWZHWtml5vZbWa22cz6zWyXmf3KzC4zs7zXpJnNMrM7zOx5f5tHzOxTZtZQ7eeA5DGzS8zM+f8uL7DOXDO717/e9pjZOjO7tNrniuQwszf5n0XPmNkBM9tuZv9tZm/Jsy6fQTiCmb3VzH5hZk/718QWM/uRmXUWWJ9raJgxs4vM7Jtm9ksz2+1/R91YYpvQ10mSvt8okIeqMrOFkq6VtEPSPZKelHS8pHdKGivpx5Le7bIuTDN7u798v6QfSHpe0jxJr5Z0q3Pu3dV8DkgWMztJ0qOSGiSNlvQh59zSnHU+Lumbkp6Tdw0NSLpI0omSvuac+3RVTxo1Z2b/KunvJD0taZWknZKOkzRD0l3Oub/PWpfPIBzBzP5F0t/L+0y5Xd71c7Kkt0lqlLTAOXdj1vpcQ8OQmT0saZqkPfI+a6ZKusk5d0mB9UNfJ4n7fnPO8Y9/Vfsn6Xx5b5IROctPkBdkOEnvylo+RtIfJR2QNDNr+UhJa/31L6718+Jfbf5JMkl3Sfq9pK/418PlOetMlvch/ZykyVnLj5G02d+ms9bPhX9VvW4+5P/dr5fUnOf3TVn/5zOIf7nXxwmSBiU9I+mlOb87z78mtmQt4xoapv/86+GV/nfVuf7f+sYC64a+TpL4/cZQKFSVc26Nc26Fc+5wzvJnJH3b//HcrF9dJO8u4i3OuQez1t8v6XP+jx+p3Bkj4T4pL1j9gKS9Bdb5oKQWSf/hnNuaWeice0HSP/s/LqzgOSJBzKxF0pfl3cj4sHNuIHcd59zBrB/5DEKuSfKGkq9zzv0x+xfOuXsk/VneNZPBNTRMOefucc494fzWfgnlXCeJ+34jsECSZL7MD2UtO99/vDPP+vdJ2idplt9YwDBiZqdIukbSvzvn7iuyarFraFXOOqh/s+V9ef9E0mF/nPw/mNn/KTA2ns8g5HpC3nCT15nZ+OxfmNk5kl4iryc1g2sIQZRznSTu+43AAolgZo2SFvg/Zr9BXu0//i53G+fcIUl/kDee9RUVPUEkin+9LJd31/kzJVYvdg3tkNfTcaKZjYr1JJFUZ/qP+yU9JGmlvAD13yStNbNuM8u+28xnEI7gnHte0j/Iyw98zMz+y8yuNrMfSvqFpNWS/jZrE64hBFHOdZK47zcCCyTFNZJeI+kO59x/Zy0f6z/uKrBdZnl7hc4LyfSPks6Q9H7nXH+JdYNeQ2ML/B715aX+49/JG3/8Rnl3mF8rr1F4jqQfZa3PZxCO4pz7N3mTjjTKy9lZLOndkp6SdH3OECmuIQRRznWSuO83AgvUnJl9UtKVkh6XNL/Gp4OEM7Oz5PVSfM0511Pr80HqZL73Dkl6m3PuV865Pc65RyW9Q97MLV2FpgwFJMnM/l7SrfImAJgiqU3ejGJbJN3kzzoGDDsEFqgpf5q0f5f0mKTz/C7mbKWi7czyvvjPDknjD4FaJq/b96qAmwW9hgrd8UF96fMfH8pOdpQk59w+SZke09f5j3wG4Qhmdq6kf5H0M+fcIufcFufcPufcBnnBaa+kK80sM2SFawhBlHOdJO77jcACNWNmn5I39/L/yAsqnsmz2m/9x1fl2b5R0svl3XncUqHTRLKMlnctnCJpf1ZRPCfp8/463/GX/Zv/c7FraIK8O41P+41K1L/M9dBX4Pcv+I+tOevzGYSMuf7jPbm/8D9HfiOvfXWGv5hrCEGUc50k7vuNwAI1YWb/IOnrkh6WF1T8scCqa/zHC/L87hxJoyStdc4diP0kkUQHJH23wL+H/HV+5f+cGSZV7Bqak7MO6t/d8nIrTjWzfN+Br/Ef/+A/8hmEXJlZeY4r8PvM8sxUxlxDCKKc6yR532+1LBzCv+H5T94QFifpQUnjSqw7RtKfRGEh/pX4J+kLyl8g7+VKWAEh/tX8Wvmp/3e/Imf5X0o6LK/XYqy/jM8g/uVeP3/t/92fkdSR87s5/jXUL+lYfxnXEP+kYAXyQl0nSfx+M/8EgKows0vlJbsNyhsGlW/c31bn3PVZ21woL0luv6Rb5JW4f5v8EveS/tpxIQ97ZvYFecOhPuScW5rzu09I+oa8D98fyLuTeJGkE+UlgX+6umeLWjKzE+V9UZ8krwfjIXlf0BfqxS/vH2etf6H4DILP7+n6b0lvllcM7zZ5QcYp8oZJmaRPOef+PWubC8U1NOz4f/cL/R9PkPRX8oYy/dJftjP7+6ec6yRp328EFqiqrMZfMd3OuXNztjtb0mcldcqL3jdL+p6kbzjnBuM/U6RNscDC//08SZ+WNF3eMNDH5FUrvaGa54lk8GtV/KO8L+0JknbL+7K/2jn3mzzr8xmEIWbWJOljki6WdKq8YSrPy8uv+IZz7hd5tuEaGmYCtHm2Oecm52wT+jpJ0vcbgQUAAACAyEjeBgAAABAZgQUAAACAyAgsAAAAAERGYAEAAAAgMgILAAAAAJERWAAAAACIjMACAAAAQGQEFgAAAAAiI7AAAAAAEBmBBQAAAIDICCwAAAAAREZgAQA4ipl90sweM7N+M3Nm9qkA21zvrzu58mcIAEiaxlqfAAAgWczsYkn/LukhSf8m6YCkX9fynIYrM9sqSc65ybU9EwAojcACAJBrbubRObe9pmcCAEgNhkIBAHJNlCSCCgBAGAQWAABJkpl9wcycpPP8n13mX9bP95rZCWa21Mx6zWzQzN4f0/Ez+59oZsvN7I9+jsd6M3tvke3+yszuMLOdZnbAzH5vZl8xs/Y86271/40xsyX+/w+a2Rey1plqZt/zf3fAP49fmtlH8uxvqp9b8pSZDZjZs2Z2s5m9Os+6QzkoZva3Zvaome33t/kvMxubte65/us+SdKk7L+FmV0f+sUFgCpgKBQAIONe//H98hq0/1+edcbJy7fYI+knkg5LejbGczhG0lpJfZK+L6ld0l9LusnMOpxzX8le2cw+L+kLkp6XtFLSHyW9VtKnJb3FzDqdc7tzjtEsaY3/XH4habekP/j7e6ukH0lqkXSnpP/nn8M0SX8v6dqsY18g7zVokrRC0mZJJ0p6p6S3mtl5zrkNeZ7jv0r6K3+bX8gL5D4k6WRJ5/vrbJX3+n/K//nfsrZ/OM8+AaDmzDlX63MAACSImd0rqcs5ZznLM18YyyV90Dl3KOf310u6VNLLnXNbyzhuZv8/knSxc+6wv/zlktZLGi1pqnNui7/8PHkBQo+ktzjn+rL29X55gcm/OeeuyFq+VV7QdLektzvn9mb9bryk30tqlTTbOdedc34nOuee9v9/jKQtkgYlneOceyxrvdfIC75+55ybnuf1eUrSG5xzT/rLG/3n8UZJZznnfpNzviRvA0gFhkIBAMIYkPTp3KAiRoOS/iETVEiSc+4Pkr4hr2dgfta6n/QfP5QdVPjbXC/vzv77ChznyuygwneppDGSrs0NKvx9Pp314wJ5PRmfzw4q/PX+R9J3JJ1hZqfmOfY/ZYIKf/1D8oIgSXpdgfMFgMRjKBQAIIytzrk/VnD/T/qBRK57JX1e0hlZyzolHZT0bjN7d55tmiUdZ2bHOueey1q+X9IjedZ/vf+4KsB5dvqP07LzM7K8yn88RdJjOb97MM/6T/mPxwQ4NgAkEoEFACCMZyq8/0L5Gpnjjs1adqy877HPl9jnaEnZgcUfXf5xwO3+Y2+J/WWOLXm5EaWOnasvz7JMD1BDgGMDQCIRWAAAwqh0Yt7xBZaf4D/uylq2S9II59y4kMco9Bz6/McOSY+W2EfmPKY55/L1fgDAsEOOBQAgSV5mZpPzLD/Xf3woa9mvJR1jZn8R07Ez1cXnhFj3jTEdu5BB0YsBICUILAAASdIg6V/MbOj7yZ8V6pPyhgvdmLXu1/3H75jZxNwdmVmbmb0+d3kRN8ibevYjZnZOnv2dmPXj9+X1cHzezI5KuDazEWZ2bohjF/KcvDyR1hj2BQAVxVAoAECSPCLpLEnrzewXerGORbukv3fO/T6zonPubjNbLOlqSU+Y2R3y6lGMljelbJekX0m6IMiBnXM7/UJ8t0q6x8xW+eczRl5tjJMkvdxf9zkzu0jSbZJ+bWZ3S/pfecOsTpKX3H2spJFlvxKeuyWdKelOM7tP0gFJG51zKyLuFwBiR2ABAEiSF+QNRfpXSR+Q16h/TNJXnXM3567snPsXM7tfXo/GGyS9XV7+Q6+k/5J01DbFOOd+bmYzJf2DpDdJ+kv/nB6XF8Bkr3u3mWWK8f2VvGFRA5K2y6tL8eMwxy7gS/KCqnmSzpbXo3ODvOJ6AJAoFMgDACSCXyCv2zl3bq3PBQAQHjkWAAAAACIjsAAAAAAQGTkWAIDYmVm7pE8FXP1659zWip0MAKAqyLEAAMTOr0Xxh4Crn+ecu7dyZwMAqAYCCwAAAACRkWMBAAAAIDICCwAAAACREVgAAAAAiIzAAgAAAEBkBBYAAAAAIiOwAAAAABAZgQUAAACAyAgsAAAAAERGYAEAAAAgMgILAAAAAJERWAAAAACIjMACAAAAQGQEFgAAAAAi+/8Bkk0sZu9HEfYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 262,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='frl_percent', y='sat_score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Plotting SAT scores against the percentage of students receiving subsidized school lunch makes the relationship between the more obvious, and also underscores the fact that the average NYC public highschool has more than 50% of students receiving subsidized school lunch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SAT Critical Reading Avg. Score     -0.728239\n",
       "SAT Writing Avg. Score              -0.726211\n",
       "white_per                           -0.722343\n",
       "sat_score                           -0.722225\n",
       "SAT Math Avg. Score                 -0.676980\n",
       "Advanced Regents - % of cohort      -0.532949\n",
       "Total Regents - % of cohort         -0.523438\n",
       "white_num                           -0.522679\n",
       "Advanced Regents - % of grads       -0.514274\n",
       "Total Grads - % of cohort           -0.470011\n",
       "Total Regents - n                   -0.417284\n",
       "Advanced Regents - n                -0.400954\n",
       "AVERAGE CLASS SIZE                  -0.400651\n",
       "total_students                      -0.389917\n",
       "Total Grads - n                     -0.388740\n",
       "Total Regents - % of grads          -0.384044\n",
       "asian_per                           -0.383266\n",
       "female_num                          -0.381732\n",
       "N_s                                 -0.376787\n",
       "total_enrollment                    -0.359074\n",
       "SIZE OF LARGEST CLASS               -0.350282\n",
       "NUMBER OF STUDENTS / SEATS FILLED   -0.347165\n",
       "AP Test Takers                      -0.338138\n",
       "asian_num                           -0.336449\n",
       "N_p                                 -0.336445\n",
       "Total Exams Taken                   -0.321325\n",
       "Total Cohort                        -0.317794\n",
       "NUMBER OF SECTIONS                  -0.317639\n",
       "male_num                            -0.315578\n",
       "sped_percent                         0.314159\n",
       "lat                                  0.316872\n",
       "Local - % of cohort                  0.345558\n",
       "Still Enrolled - % of cohort         0.366292\n",
       "Local - % of grads                   0.384044\n",
       "Dropped Out - % of cohort            0.390397\n",
       "ell_percent                          0.432673\n",
       "hispanic_per                         0.571657\n",
       "frl_percent                          1.000000\n",
       "Name: frl_percent, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlations[abs(correlations['frl_percent']) >0.3]['frl_percent'].sort_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There are a number of factors with strong negative correlations with `frl_percent`. Most are other academic measures, which we saw earlier have a high positive correlation with SAT scores. Interestingly, the relationship is stronger for the Critical Reading and Writing SAT scores than it is for the Math portion. Other factors with a strong negative correlation include the percentage of white students.\n",
    "\n",
    "The strongest positive correlation is with the percentage of hispanic students (`hispanic_per`) followed by the percentage of students considered english language learners (`ell_percent`). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Plotting Survey Correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Our dataset includes responses to a set of survey questions presented to students, teachers and parents. This gives us an opportunity to explore how their perceptions relate to SAT scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# Remove DBN since it's a unique identifier, not a useful numerical value for correlation.\n",
    "survey_fields.remove(\"DBN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAAAYCWEfAAAAAIyEsA8AAAAARmLDtAsAYP+xccv50y4BAIBVNLP1uGmXAPs9O/sAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2LaCq7llV/6WqZqrqtqrqqnr0tOsCAAAAgN3ZMO0C1qg3Jnlxkv8vyXuT3J7kumkWVFUPSHJikkcneUyShyapJD/a3f+0izmPT/KsOXMOS3J1dz9gH5QMAAAAwD4m7FvYzyb5cncfP+1C5nhsktcl6SSXJ7khycF7mPP8JC9P8r0kX8wk7AMAAABgpBzjXdj9k1w77SLm+WySo5Mc3N0PS3LpIuZsS7IpyT26+9GrVxoAAAAAa8G6Dvuq6ueq6hNVdW1V3VJV11TVBVX10jljjqiqt1XVpVX1jar6blVdVlVnVtW95q23vao6k+OxxwzP6uuq2r4atS1Fd1/V3X/b3TcuYc6O7r6ku29dzj0BAAAAWF/W7THeqvrVJO/K5Fl6f5Xk+iSHJnlkkhckeccw9EWZPLfugiQfzyTgPCLJbyV5elU9obu/NYzdlmR7ktOSXDF8T5KZVaoNAAAAAFbMug37MnmBxq1JHtXdX5vbUVX3mfP1jCS/3t23zxvzwiRnJ3lpkjckSXdvG/pOSzLT3aevcm3rRlVdtIuuw/dpIQAAAADs0ro+xpvktkxePnEn3X39nM9XzA/6Bu9OcmOSp02rNgAAAABYSes57Dsnyd2TfLGq3lJVJ1TVfecPqqoDq+o3qurC4Zl9tw/P5bsjyT2T/PC0altPuvuIhf6SfGnatQEAAAAwsW6P8Xb3m6vq+kyO4b4sySuSdFVdkOSU7v7sMPTcTJ7Z989JPpjJc/RuGfpekeRuU6wNAAAAAFbMug37kqS7/zTJn1bVwUl+MpNQ76QkH62qw5M8eGj7eJKnd/dts3Or6i5JXjWt2rr766t1bwAAAAD2T+s67JvV3TuT/HWSvx5CvJOSHJ3kwGHIh+YGfYPHJ/mBKdb2l6t9bwAAAAD2L+v2mX1V9eSqqgW6Dh2u304yM3w+dt7cQ5P81ynXBgAAAAAraj3v7PtAkpuq6tOZhHqV5Kgkj0tyUSZHd+9I8qkkz66qv0tyYZLDkjw9yf9Ncs0Ua1uyqto25+vhw/UNVfWt4fPZ3X3hnPGHJ9kyb5l7zVvnld4QDAAAADAO6zns25LkaUk2JXlGku8muSLJqUne2d3fS5Kq+rkkrxvGvCzJ1UnOHtq+OM3aluHEBdqePefz9kwCzVn3W2DO3ee1nZ5E2AcAAAAwAus27Ovus5KctYhx38jkrbgL2biLOQsdwV20xda2jHWXVFd3b89kVyEAAAAA+4F1+8w+AAAAAODOhH0AAAAAMBLr9hjvvlRVG5NsXuTwt3b3zkWsuTm7OEY8z47uPm+R9wYAAABgPybsW5yNSU5b5NhtSXYuYtzmJMcsYtx7kpy3yHsDAAAAsB8T9i3CarzooruPXcn1AAAAAMAz+wAAAABgJOzsA2Cfmdl63LRLAAAAGDU7+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZiw7QLAGD/sXHL+dMuAVjAzNbjpl0CAAArxM4+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPvmqKp7VtV/qaqZqrqtqrqqHj3tugAAAABgMYR9d/bGJL+Z5PNJzkjy2iTXTbWiOarqhVX1rqr6TFV9ewgjX7eb8QdX1SlVdU5VfXFOgPnT+7JuAAAAAPaNDdMuYI352SRf7u7jp13ILpyZ5KAk30xyTZKH7WH8xkwCzCS5Ksn1SQ5breIAAAAAmC47++7s/kmunXYRu/HcJBu7+5Aku9zRN8cVSX46yb27+4FJPrKaxQEAAAAwXesy7Kuqn6uqT1TVtVV1S1VdU1UXVNVL54w5oqreVlWXVtU3quq7VXVZVZ1ZVfeat972quokleSY4ahrV9X2Jda1cZi3raoOr6rzhnvfXFUXVtVT9+Z3d/dHuvuKJYz/Znd/oru/sTf3BQAAAGB9WHfHeKvqV5O8K5Nn6f1VJkdTD03yyCQvSPKOYeiLkjwryQVJPp5JsHlEkt9K8vSqekJ3f2sYuy3J9iSnZbIbbtvQPrPMMh+S5O8zefbfu5L8UJJfTPLhqnp+d5+7zHUBAAAAYJfWXdiX5MVJbk3yqO7+2tyOqrrPnK9nJPn17r593pgXJjk7yUuTvCFJunvb0HdakpnuPn0vazw6yZu6+5Q59/3jTALAs6rqw919417eAwAAAADuZF0e401yW5LvzW/s7uvnfL5iftA3eHeSG5M8bfXKyw1Jfn9ebZ9Nck6SgzPZcbiuVNVFC/0lOXzatQEAAAAwsR7DvnOS3D3JF6vqLVV1QlXdd/6gqjqwqn5jeFbeN6rq9uG5fHckuWeSH17FGi+ec0R4ru3D9TGreG8AAAAA9lPr7hhvd7+5qq7P5Bjuy5K8IklX1QVJThl20CXJuZnsoPvnJB/M5Bl/twx9r0hyt1Us86u7aL9uuB60ivdeFd19xELtw+6+Tfu4HAAAAAAWsO7CviTp7j9N8qdVdXCSn8wk1DspyUer6vAkDx7aPp7k6d192+zcqrpLkletcomH7aL9fsP1hlW+PwAAAAD7oXUZ9s3q7p1J/jrJXw8h3kmZvBzjwGHIh+YGfYPHJ/mBVS5tU1X94AJHeY8drpes8v0BAAAA2A+tu2f2VdWTq6oW6Dp0uH47yczw+dh5cw9N8l9XrbjvOyjJ782792OT/FImu/o+sA9qAAAAAGA/sx539n0gyU1V9elMQr1KclSSxyW5KJOju3ck+VSSZ1fV3yW5MJOjtU9P8n+TXLPKNX4yyclV9YShjh9K8ouZhKsv7u4bl7NoVZ2c5Mjh648M1+Or6gHD5y9199Z5c96U5D7D19m5p1TVfxw+n9fd5y2nHgAAAADWlvUY9m1J8rRMXgrxjCTfTXJFklOTvLO7v5ckVfVzSV43jHlZkquTnD20fXGVa7w8ya8l2Tpc75bk4iS/390f3Yt1j0xy4ry2Rw5/SXLBcM+5fiGTZxjO9dQ5n2eSnLcXNQEAAACwRqy7sK+7z0py1iLGfSOTN/YuZOMu5ix0PHhZuvsfkzxzpdYb1tycZPMS52xcyRoAAAAAWLvW3TP7AAAAAICFCfsAAAAAYCTW3THefamqNmbxx2bfusS1H53khMWM7e7Tl7I2AAAAAPsnYd/ubUxy2iLHbuvumUzeDrwYj17C2qcvchwAAAAA+zFh32509/YsPrxb6trbkmxbjbUBAAAA2D95Zh8AAAAAjISdfQDsMzNbj5t2CQAAAKNmZx8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBIbJh2AQAsz8Yt50+7hCWb2XrctEsAAAAYNTv7AAAAAGAkhH0AAAAAMBLCPgAAAAAYCWEfAAAAAIyEsA8AAAAARkLYBwAAAAAjIewDAAAAgJEQ9u2HqmpbVXVVbZx2LQAAAACsHGEfAAAAAIyEsA8AAAAARkLYt4ZU1cbheO22qnp4VZ1bVV+rqjuqavNu+o5dwj06yYnD18uHNbuqZlbhJwEAAACwD22YdgEs6GFJPpPky0nOSfIDST63m74bl7D2a5OckORRSd6WZOfQvnPh4QAAAACsF8K+tenIJGd09+/MNsx5mca/6VuK7j59WOtRSd7a3TN7VyoAAAAAa4Wwb236aiY78Jbat2qq6qJddB2+TwsBAAAAYJc8s29turS7b1lGHwAAAAD7MTv71qbrltm3arr7iIXahx1/m/ZxOQAAAAAswM6+tamX2QcAAADAfkzYt3+6fbgeMNUqAAAAAFhRwr79078M1wdNtQoAAAAAVpRn9u2fPpHklCT/var+Msm3kuzs7j+eblkAAAAA7A07+/ZD3f3RJL+d5HtJXpHkD5K8cpo1AQAAALD37OxbQ7p7JkkttW+Z93pzkjev1HoAAAAATJ+dfQAAAAAwEsI+AAAAABgJx3hHoKo2J9m4iKE7uvu8VS0GAAAAgKkR9o3D5iTHLGLce5Kct6qVAAAAADA1wr4R6O5jp10DAAAAANPnmX0AAAAAMBLCPgAAAAAYCcd4Adapma3HTbsEAAAA1hg7+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMxIZpFwDA/mPjlvOnXQIArIiZrcdNuwQAWJCdfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwb8qqamNVdVVtq6qHV9W5VfW1qrqjqjbvpu/YJd7nsKp6U1X936q6uap2Dp+3VdVDV+fXAQAAALAvbZh2AfyrhyX5TJIvJzknyQ8k+dxu+m5c7MJVdfcknxrW+Zskf5Wkkjw4yTOTvD/JP6/EjwAAAABgeoR9a8eRSc7o7t+ZbaiqjbvqW6KfyiToe2t3/6e5HVV11yR329MCVXXRLroOX2ZNAAAAAKwwYd/a8dUkr11G31J8Z35Dd9+a5NYVWBsAAACAKRP2rR2Xdvcty+hbjAuSXJ1kS1VtSvLXmRzr3dHdty9mge4+YqH2Ycffpr2oDQAAAIAV4gUda8d1y+zbo+6+MckTk/yPJEckeVuSzya5rqpeW1UH7s36AAAAAKwNwr61o5fZt7jFu6/q7hcmOTTJI5K8LMm/JPm94Q8AAACAdU7Yt5/piS9099uTPGVoPmGKJQEAAACwQoR9+4Gq+omqOmyBrtm2b+/LegAAAABYHV7QsX94SpI/qqq/T/LlJF9L8oAkz0xyR5I/mmJtAAAAAKwQYd/+4aNJHpTk6EwCvnsmuTbJ3yR5c3f/3RRrAwAAAGCFCPumrLtnktRS+5Z4j39M8lt7uw4AAAAAa5tn9gEAAADASAj7AAAAAGAkHONdp6pqc5KNixi6o7vPW9ViAAAAAFgThH3r1+Ykxyxi3HuSnLeqlQAAAACwJgj71qnuPnbaNQAAAACwtnhmHwAAAACMhJ19AOwzM1uPm3YJAAAAo2ZnHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEhsmHYBAOw/Nm45f9ol7Bdmth437RIAAIApsbMPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsm5Kq2lhVXVXbqurhVXVuVX2tqu6oqs276Tt2iffZNqz10Kr6rar6UlV9t6quqqq3VNU9V+cXAgAAALCvbZh2AeRhST6T5MtJzknyA0k+t5u+G5d5n7ckOTrJ/0zywSRPS/KKJEdV1ZHd/d1lrgsAAADAGiHsm74jk5zR3b8z21BVG3fVtxf+f0ke3d1XDPd4dZK/SPLsJKck+YPdTa6qi3bRdfgK1AYAAADACnCMd/q+muS1y+hbqrfNBn1J0t13ZBLy3ZHkpBW6BwAAAABTZGff9F3a3bcso2+pLpjf0N3/XFVXJtlYVQd3985dTe7uIxZqH3b8bVqhGgEAAADYC3b2Td91y+xbqq/u4R4HreC9AAAAAJgCYd/09TL7luqwXbTfb7jesIL3AgAAAGAKhH37j2PmN1TVQ5M8MMnM7o7wAgAAALA+CPv2Hy+vqgfPfqmquyT5o0z+D/yPqVUFAAAAwIrxgo79x6eS7KiqczM5svu0JI9KclGSN06zMAAAAABWhrBv//GfkjwryYuSbEzyL0neluT3uvu7U6wLAAAAgBUi7JuS7p5JUkvt2wt3dPeZSc5c4XUBAAAAWCM8sw8AAAAARkLYBwAAAAAj4RjvOlNVmzN55t6e7Oju81a1GAAAAADWFGHf+rM5yTGLGPeeJOd19+ZhDgAAAAAjJ+xbZ7r72GnXAAAAAMDa5Jl9AAAAADASdvYBsM/MbD1u2iUAAACMmp19AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAI7Fh2gUAsP/YuOX8aZcA+8zM1uOmXQIAAPshO/sAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2zVNVG6uqq2rbCq7ZVbV9BdZ5SlWdWVWfqKp/Gda9cA9zXlhV76qqz1TVt4c5r9vbWgAAAABYezZMuwCW5NeTPDPJd5P8U5JDFjHnzCQHJflmkmuSPGzVqgMAAABgquzsW1/ekOQRSe6R5PhFznluko3dfUgSO/oAAAAARmxVw76qekJVvb+qrquqW6vqyuFI6f3njds+HC/dUFW/U1WXVdUtw/g3VNVdd7H+L1XVxVX1nar6WlW9t6ruP7veMuo9Pcnlw9cTh5pm/zbPGXeXqvq1qvo/VXVTVd08fH5JVd1lzrjNc+o4Zt56py+1vu7+++7+QnffvoQ5H+nuK5Z6LwAAAADWn1U7xltVJyX5b0luSfKhJFcm+dEkJyc5vqqe2N3/b9609yU5KsmHk9yY5BlJXpXk0CQvmLf+qzLZ6fbNJO9JckOSpyT51PB5ObYnOTjJy5NcmuS8OX075nx+b5LnD7/p7CSd5FlJ3pHkyCS/NGfOa5OcluSKJNvm3QsAAAAAVsyqhH1V9fAkZyWZSXJMd189p++nknwsydsyCcjmeliSn+jubwxjfzeT0O1XqurV3X3d0P7QJH+Y5Pokm7r7yqF9SyaB4XOXU3d3b6+qmUzCvh3dffoCv+15mQR9lyQ5urtvGtpfk+SCJM+vqvO7+33dvSPJjqo6LcnMQusBAAAAwEpZrWO8L0lyYJKXzw36kqS7P5HJTr/jq+oH5807dTboG8benOScoc7Hzhn3/EyCyrfPBn3D+E6yJcmij7kuw0nDdcts0Den1lOHryev4v2noqouWugvyeHTrg0AAACAidU6xvuk4XpMVT1ugf5DkxyQ5OFJLprT/tkFxs6Gefea0/aY4Xrh/MHdfUVVXZlk41IKXoJNSe7IwsdwL8gkaHzMAn0AAAAAsKpWK+y793A9ZQ/j7jH3S3fvXGDMbcP1gDltBw3Xr+5i3a9m9cK+g5J8o7tvnd/R3bdV1fWZhJmj0t1HLNQ+7O7btI/LAQAAAGABqxX2zb4g46DuvnEV1p9d87AkX1ig/7BVuOesG5IcUlUHdvf35nZU1YYk95lTHwAAAADsM6v1zL5PD9ejVmn9S4brkfM7qurBSR64F2vPPu/vgF30X5LJv9vRC/QdPcy7eF77HbtZDwAAAABWxGqFfX+c5HtJ3jK8mfdOququVbU3QeD7Mjne+5tV9a/BXlVVkjOyd8HaN5N0kgftov/dw/WMqrr7nHvfPcnW4eufzJvzL9m7ABIAAAAA9mhVjvF295eq6qRMgrEvVNVHknw5kzf0PiiTHX9fzzLf5NrdX6mq30vy+iSXVtW5mRyvfUqSQ5JcmuSRy1z7pqr6TJKjquqcoe7bk3youz/X3e+rqmcmec7w287LJBw8IclDkpzb3efMW/YTSZ5bVX+Vya6/7yX5ZHd/cim1VdWR+f6bfmefd/ijVbVtTv2b5805Od/fAfkjw/X4qnrA8PlL3b01AAAAAKx7q/XMvnT3n1XVpUl+O8mTkzw1yc1Jrkny/iTn7uX6Z1TVVUl+K8kLknwryUeTvCrJx7J3z8375SRvSfIzSZ6XpJJcleRzQ//zMnnz7klJXjy0/WOSM5O8c4H1Xp5JIPhTSZ6RyY7K1yZZUtiXSVh34ry2Q+e1bZ7Xf+QCcx6Z74ehF+T7OxIBAAAAWMequ6ddw4qqqntm8jbeHd39pGnXM3ZVddGmTZs2XXTRRdMuBVgHNm45f9olwD4zs/W4aZcAAMA6dcQRR+Tiiy++uLuPWOrc1Xpm36qrqvtW1YHz2jZksrvu3yX5wFQKAwAAAIApWbVjvPvAzyf5/ar6eJIrM3lW39FJHp5kR5K3T680AAAAANj31nPY95kkF2YS8N17aLs8yR8meUN3fydJqmpj/u1z7Hblrd29c0Wr3IWqOjjJKxY5fFt3z6xaMQAAAACMwroN+7r7kiTPXsTQjUlOW+Sy25LsXF5FS3ZwFl/X9iQzq1UIAAAAAOOwbsO+xeru7Zm8TXdNGXbqrbm6AAAAAFi/1u0LOgAAAACAOxP2AQAAAMBIjP4YLwBrx8zW46ZdAgAAwKjZ2QcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJDZMuwAA9h8bt5w/7RLWnJmtx027BAAAYETs7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQti3yqpqY1V1VW1bgbV+oareXlV/W1U3Duv+2W7GH1hVL6+q/1FVO6rq1mHOyXtbCwAAAABrz4ZpF8CSvCbJo5LclOSqJIfvYfy/T/LW4fNXk1yX5IGrVRwAAAAA02Vn3/ryn5I8PMk9k7xkEeO/neQZSe7f3fdL8u5VrA0AAACAKVtXYV9VPaGq3l9V1w1HUq+sqndV1f3njds+HFfdUFW/U1WXVdUtw/g3VNVdd7H+L1XVxVX1nar6WlW9t6ruP7veMuo9Pcnlw9cTh5pm/zYvdb3u/t/dfVl3L6qW7r61uz/c3dcu9V4AAAAArD/r5hhvVZ2U5L8luSXJh5JcmeRHk5yc5PiqemJ3/795096X5KgkH05yYya73F6V5NAkL5i3/quSvCHJN5O8J8kNSZ6S5FPD5+XYnuTgJC9PcmmS8+b07VjmmgAAAACwoHUR9lXVw5OclWQmyTHdffWcvp9K8rEkb0vyrHlTH5bkJ7r7G8PY380kdPuVqnp1d183tD80yR8muT7Jpu6+cmjfkklg+Nzl1N3d26tqJpOwb0d3n76cdQAAAABgMdbLMd6XJDkwycvnBn1J0t2fyGSn3/FV9YPz5p06G/QNY29Ock4mv/uxc8Y9P5Pg8+2zQd8wvpNsSXL7Cv6WdamqLlroL3t+SQgAAAAA+8i62NmX5EnD9ZiqetwC/YcmOSCTl1dcNKf9swuMnQ3z7jWn7THD9cL5g7v7iqq6MsnGpRQMAAAAAPvaegn77j1cT9nDuHvM/dLdOxcYc9twPWBO20HD9au7WPer2c/Dvu4+YqH2YXffpn1cDgAAAAALWC9h3+wLMg7q7htXYf3ZNQ9L8oUF+g9bhXsCAAAAwIpaL8/s+/RwPWqV1r9kuB45v6OqHpzkgXux9uzz/g7Y7SgAAAAA2EvrJez74yTfS/KW4c28d1JVd62qvQkC35fJ8d7frKp/DfaqqpKckb0L6r6ZpJM8aC/WAAAAAIA9WhfHeLv7S1V1UpJ3J/lCVX0kyZczeUPvgzLZ8ff1LPPNsN39lar6vSSvT3JpVZ2bydHhpyQ5JMmlSR65zLVvqqrPJDmqqs4Z6r49yYe6+3NLWauqTkhywvD1fsP1SVW1bfh8fXe/ct6cLfn+v8ujh+sLqmp2F+OF3X32UuoAAAAAYG1aF2FfknT3n1XVpUl+O8mTkzw1yc1Jrkny/iTn7uX6Z1TVVUl+K8kLknwryUeTvCrJx/L95/otxy8neUuSn0nyvCSV5KokSwr7MgnrTpzX9tDhL0muSPLKef0/k+SYeW0/OfzNEvYBAAAAjMC6CfuSpLs/n2TzIsYdu5u+bUm27aLvvUneO7etqu6Z5GFJdiy2zgXW/ackxy93/px1Tk9y+hLnHLu39wUAAABgfVgvz+xbdVV136o6cF7bhiRnJvl3ST4wlcIAAAAAYJHW1c6+VfbzSX6/qj6e5MpMntV3dJKHZ7Kr7+3TKw0AAAAA9kzY932fSXJhJgHfvYe2y5P8YZI3dPd3kqSqNmYRR4kHb+3unQt1rNQ6AAAAADBL2Dfo7kuSPHsRQzcmOW2Ry25LsnOV1wEAAACAJMK+Jevu7Zm8TXdNrAMAAAAAs7ygAwAAAABGQtgHAAAAACPhGC8A+8zM1uOmXQIAAMCo2dkHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEhumXQAA+4+NW86fdgkArGMzW4+bdgkAsObZ2QcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMxIZpF8DiVNUDkpyY5NFJHpPkoUkqyY929z/tYs7jkzxrzpzDklzd3Q/YByUDAAAAsI8J+9aPxyZ5XZJOcnmSG5IcvIc5z0/y8iTfS/LFTMI+AAAAAEbKMd7147NJjk5ycHc/LMmli5izLcmmJPfo7kevXmkAAAAArAVrPuyrqidU1fur6rqqurWqrqyqd1XV/eeN215VXVUbqup3quqyqrplGP+GqrrrLtb/paq6uKq+U1Vfq6r3VtX9Z9fbi7p/rqo+UVXXDnVcU1UXVNVLl7Ned1/V3X/b3TcuYc6O7r6ku29dzj0BAAAAWF/W9DHeqjopyX9LckuSDyW5MsmPJjk5yfFV9cTu/n/zpr0vyVFJPpzkxiTPSPKqJIcmecG89V+V5A1JvpnkPZkcjX1Kkk8Nn5db968meVeS65L8VZLrh/s/cqjhHctdGwAAAAB2Zc2GfVX18CRnJZlJckx3Xz2n76eSfCzJ2zJ5AcVcD0vyE939jWHs72Zy5PVXqurV3X3d0P7QJH+YSRC3qbuvHNq3ZBIYPncvyn9xkluTPKq7vzbvd91nL9admqq6aBddh+/TQgAAAADYpbV8jPclSQ5M8vK5QV+SdPcnMtnpd3xV/eC8eafOBn3D2JuTnJPJb33snHHPzyTsfPts0DeM7yRbkty+l/XflsmLMe6ku6/fy3UBAAAAYEFrdmdfkicN12Oq6nEL9B+a5IAkD08yd9fZZxcYOxvm3WtO22OG64XzB3f3FVV1ZZKNSyl4jnOSnJnki1X150kuSPKp7v76Mtebuu4+YqH2Ycffpn1cDgAAAAALWMth372H6yl7GHePuV+6e+cCY24brgfMaTtouH51F+t+NcsM+7r7zVV1fZKXJnlZklck6aq6IMkp3b1QIAkAAAAAe2UtH+OdfUHGQd1du/m7YJnrz77V9rBd9O+qfVG6+0+7+4mZhJbHJfmTJEcn+WhV3Xdv1gYAAACAhazlsO/Tw/WoVVr/kuF65PyOqnpwkgeuxE26e2d3/3V3vyjJtiSHZBL6AQAAAMCKWsth3x9n8oKLtwxv5r2TqrprVe1NEPi+TI73/mZV/WuwV1WV5Izc+cjvklTVk4d15jt0uH57uWsDAAAAwK6s2Wf2dfeXquqkJO9O8oWq+kiSL2fyht4HZbLj7+tJDl/m+l+pqt9L8vokl1bVuZkcHX5KJrvvLk3yyGWW/4EkN1XVp5PMJKmh3sdl8jKRjy9n0araNufr7O9+Q1V9a/h8dndfOGf84Zm8WXiue81b55XeEAwAAAAwDms27EuS7v6zqro0yW8neXKSpya5Ock1Sd6f5Ny9XP+MqroqyW8leUGSbyX5aJJXJflYvv9cv6XakuRpmbyl9hlJvpvkiiSnJnlnd39vmeueuEDbs+d83p47v134fgvMufu8ttOTCPsAAAAARmBNh31J0t2fT7J5EeOO3U3ftkyel7dQ33uTvHduW1XdM8nDkuxYbJ3z1jwryVnLmbuHdRc6Gry78dsz2VUIAAAAwH5gLT+zb9VV1X2r6sB5bRuSnJnk32VyHBcAAAAA1oU1v7Nvlf18kt+vqo8nuTLff1PuwzPZ1ff26ZUGAAAAAEuzv4d9n8nkGXdHJ7n30HZ5kj9M8obu/k6SVNXGLOIo8eCt3b1zT4OqanOSjYtYb0d3n7fIewMAAACwH9uvw77uviR3fsHFrmxMctoil92WZOcixm1Ocswixr0nyXmLvDcAAAAA+7H9OuxbrNV40cXuXigCAAAAAMuxX7+gAwAAAADGxM4+APaZma3HTbsEAACAUbOzDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCQ2TLsAAPYfG7ecP+0SFjSz9bhplwAAALAi7OwDAAAAgJEQ9gEAAADASAj7AAAAAGAkhH0AAAAAMBLCPgAAAAAYCWEfAAAAAIyEsA8AAAAARkLYt45U1Qur6l1V9Zmq+nZVdVW9bjfjD66qU6rqnKr6YlXdNsz56X1ZNwAAAAD7xoZpF8CSnJnkoCTfTHJNkoftYfzGJG8cPl+V5Pokh61WcQAAAABMl51968tzk2zs7kOS7HJH3xxXJPnpJPfu7gcm+chqFgcAAADAdK3ZsK+qnlBV76+q66rq1qq6cjjCev9547YPR1M3VNXvVNVlVXXLMP4NVXXXXaz/S1V1cVV9p6q+VlXvrar7z663zJo3DrVsq6rDq+q8qvpGVd1cVRdW1VOXs+6s7v5Id1+xhPHf7O5PdPc39ua+AAAAAKwPa/IYb1WdlOS/JbklyYeSXJnkR5OcnOT4qnpid/+/edPel+SoJB9OcmOSZyR5VZJDk7xg3vqvSvKGTI7DvifJDUmekuRTw+e99ZAkf5/k80neleSHkvxikg9X1fO7+9wVuAcAAAAA3MmaC/uq6uFJzkoyk+SY7r56Tt9PJflYkrcleda8qQ9L8hOzu9iq6neTXJrkV6rq1d193dD+0CR/mMnz6zZ195VD+5ZMAsPnrsDPODrJm7r7lDm1/3EmAeBZVfXh7r5xBe4DAAAAAP9qLR7jfUmSA5O8fG7QlyTd/YlMdvodX1U/OG/eqXOPq3b3zUnOyeQ3PnbOuOdnEnK+fTboG8Z3ki1Jbl+B33BDkt+fV/tnh3oOzr8NKte8qrpoob8kh0+7NgAAAAAm1tzOviRPGq7HVNXjFug/NMkBSR6e5KI57Z9dYOxsmHevOW2PGa4Xzh/c3VdU1ZWZvMV2b1zc3d9aoH17khOHGt6zl/cAAAAAgDtZi2HfvYfrKbsdldxj7pfu3rnAmNuG6wFz2g4arl/dxbpfzd6Hfbta+7p5Nawb3X3EQu3D7r5N+7gcAAAAABawFsO+2RdkHLRKz7WbXfOwJF9YoP+wFbjHrta433BdiZeAAAAAAMCdrMVn9n16uB61SutfMlyPnN9RVQ9O8sAVuMemBZ4pmCTHzqsBAAAAAFbMWgz7/jjJ95K8ZXgz751U1V2ram+CwPdlcrz3N6vqX4O9qqokZ+TOR36X66Akvze3oaoem+SXMtnV94EVuAcAAAAA3MmaO8bb3V+qqpOSvDvJF6rqI0m+nMkbeh+UyY6/r2eZb4Ht7q9U1e8leX2SS6vq3EwCuKckOSTJpUkeuZc/45NJTq6qJyT5VJIfSvKLmYSrL17u8eSqOjnf35H4I8P1+Kp6wPD5S929dd6cNyW5z/B1du4pVfUfh8/ndfd5y6kHAAAAgLVlzYV9SdLdf1ZVlyb57SRPTvLUJDcnuSbJ+5Ocu5frn1FVVyX5rSQvSPKtJB9N8qokH8v3n+u3XJcn+bUkW4fr3ZJcnOT3u/uje7HukZm8zXeuR+b74eQFwz3n+oUkD57X9tQ5n2eSnLcXNQEAAACwRqzJsC9JuvvzSTYvYtyxu+nblmTbLvrem+S9c9uq6p5JHpZkx2Lr3M29/zHJM/d2nXlrbs4i/k3mzdm4kjUAAAAAsHatxWf2rbqqum9VHTivbUOSM5P8u3imHgAAAADr0Jrd2bfKfj7J71fVx5Ncmcmz+o5O8vBMdvW9fXqlAQAAAMDy7K9h32eSXJhJwHfvoe3yJH+Y5A3d/Z0kqaqNWfyx2bcupYCqenSSExYztrtPX8raAAAAAOyf9suwr7svSfLsRQzdmOS0RS67rbtnktQixz96CWufvshxAAAAAOzH9suwb7G6e3sWH94tde1t2cXLQwAAAABgOfbLF3QAAAAAwBjZ2QfAPjOz9bhplwAAADBqdvYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMxIZpFwDA/mPjlvOnXQLr3MzW46ZdAgAArGl29gEAAADASAj7AAAAAGAkhH0AAAAAMBLCPgAAAAAYCWEfAAAAAIyEsA8AAAAARkLYBwAAAAAjIeybp6o2VlVX1bYVXLOravsKrPOUqjqzqj5RVf8yrHvhHua8sKreVVWfqapvD3Net7e1AAAAALD2bJh2ASzJryd5ZpLvJvmnJIcsYs6ZSQ5K8s0k1yR52KpVBwAAAMBU2dm3vrwhySOS3CPJ8Yuc89wkG7v7kCR29AEAAACM2IqFfVX1+Ko6t6qurqpbquraqvpYVT1n3rjnVNUnq+qGqvpOVX2+ql5dVXdbYM2Z4e8eVfWWqrpymLOjqk4Yxmyoqt+tqsuq6rtV9ZWq+o1l/obTk1w+fD1xOPI6+7d5zri7VNWvVdX/qaqbqurm4fNLquouc8Ztrqoevh4zb73Tl1pfd/99d3+hu29fwpyPdPcVS70XAAAAAOvPihzjraoXJXlnktuTfCjJZUkOTfLYJC9N8j+Hca9P8uok1yd5X5Kbkjw9yeuTPK2qntrdt85b/sAkf5PJkdUPJrlrkucl+cuqeuqw/hOSfDjJLUn+Q5K3V9XXu/vcJf6U7UkOTvLyJJcmOW9O3445n9+b5PlJrkxydpJO8qwk70hyZJJfmjPntUlOS3JFkm3z7gUAAAAAK2avw76q+vFMQq4bkxzV3V+Y1/+A4fqkTIK+K5M8vruvG9pfneQDSX42ySszCf7mun+Si5Mc2923DHPem+STSf4iyVeSPKK7dw59b07ypSRbkiwp7Ovu7VU1k0nYt6O7T1/g9z4vk6DvkiRHd/dNQ/trklyQ5PlVdX53v6+7dyTZUVWnJZlZaD0AAAAAWCkrcYz3JZmEhn8wP+hLku6+avh40nB93WzQN/TfluS3k9yR5ORd3OMVs0HfMOdvMzlue68kp84GfUPfPyf5VJJHVNUBy/1RuzH7O7bMBn3DfW9OcurwdVe/Y92qqosW+kty+LRrAwAAAGBiJcK+Jw7XD+9h3Kbh+r/md3T3l5NcleQhVXXQvO6d3f2VBda7ZrhetEDf1ZkEkPfbQ03LsSmTYHL7An0XZHKU+TGrcF8AAAAA2K2VeGbfwcP16j2Mmw3xrt1F/7VJHjSsd8Oc9hsWHJ3cliTdvVD/bcP1wD3UtBwHJfnGAs8WTHffVlXXZ/K8wlHp7iMWah92921aqA8AAACAfWsldvbtHK4/vIdxs6Hcrnbb/dC8cWvVDUkOqap/EyRW1YYk98nk+YUAAAAAsE+tRNj36eH69D2Mu2S4Hju/o6p+JMkDklw+9/l7U3L7cN3V8/4uyeTf7egF+o4e5l08r/2O3awHAAAAACtiJcK+d2ZybPY/D2/mvZPZt/EmefdwfU1V3XdO/wFJ3jTU8icrUM/e+maSzuRI8UJmf8cZVXX32cbh89bh6/zf8S9JHriSRQIAAADAfHv9zL7u/mJVvTTJWUkuqaoPJrksyb2TPC6TI61P7u6/q6o3JnlVkn+oqvcnuTmTHYGPSHJhkj/a23r2VnffVFWfSXJUVZ2T5MuZ7Pb7UHd/rrvfV1XPTPKcJF+oqvMyCQdPSPKQJOd29znzlv1EkudW1V9lsuvve0k+2d2fXEptVXVkvv+m33sM1x+tqm1z6t88b87JSY4cvv7IcD1+Tgj7pe7eGgAAAADWvZV4QUe6+79X1T8keWUmx3RPSHJ9ks8lOXvOuFOr6pIkv5HkVzJ5gcZXkrwmyZkLvfRiSn45yVuS/EyS5yWpTN4W/Lmh/3mZvHn3pCQvHtr+McmZmex0nO/lmQSCP5XkGZnsYnxtkiWFfZmEdSfOazt0Xtvmef1HLjDnkcNfMvkdwj4AAACAEajunnYNrGNVddGmTZs2XXTRRdMuBVgHNm45f9olsM7NbD1u2iUAAMCqO+KII3LxxRdf3N1HLHXuSjyzDwAAAABYA4R9AAAAADASK/LMvrWsqjbm3z7Hblfe2t07V62YOarq4CSvWOTwbd09s2rFAAAAADAKow/7kmxMctoix25LsnO1Cpnn4Cy+ru1JZlarEAAAAADGYfRhX3dvz+RtumvKsFNvzdUFAAAAwPrlmX0AAAAAMBLCPgAAAAAYidEf4wVg7ZjZety0SwAAABg1O/sAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjMSGaRcAwP5j45bzp10C+4mZrcdNuwQAAJgKO/sAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPtWWVVtrKquqm0rsNYvVNXbq+pvq+rGYd0/2834A6vq5VX1P6pqR1XdOsw5eW9rAQAAAGDt2TDtAliS1yR5VJKbklyV5PA9jP/3Sd46fP5qkuuSPHC1igMAAABguuzsW1/+U5KHJ7lnkpcsYvy3kzwjyf27+35J3r2KtQEAAAAwZWs27Kuqx1fVuVV1dVXdUlXXVtXHquo588Y9p6o+WVU3VNV3qurzVfXqqrrbAmvODH/3qKq3VNWVw5wdVXXCMGZDVf1uVV1WVd+tqq9U1W8s8zecnuTy4euJwxHa2b/NS12vu/93d1/W3b3I8bd294e7+9ql3gsAAACA9WdNHuOtqhcleWeS25N8KMllSQ5N8tgkL03yP4dxr0/y6iTXJ3lfJsdbn57k9UmeVlVP7e5b5y1/YJK/SXJIkg8muWuS5yX5y6p66rD+E5J8OMktSf5DkrdX1de7+9wl/pTtSQ5O8vIklyY5b07fjiWuBQAAAAC7tebCvqr68STvSHJjkqO6+wvz+h8wXJ+USdB3ZZLHd/d1Q/urk3wgyc8meWUmwd9c909ycZJju/uWYc57k3wyyV8k+UqSR3T3zqHvzUm+lGRLkiWFfd29vapmMgn7dnT36UuZv5ZU1UW76NrTcwMBAAAA2EfW4jHel2QSQv7B/KAvSbr7quHjScP1dbNB39B/W5LfTnJHkl29dfYVs0HfMOdvMzlue68kp84GfUPfPyf5VJJHVNUBy/1RAAAAALDa1tzOviRPHK4f3sO4TcP1f83v6O4vV9VVSR5SVQd19w1zund291cWWO+aJA9JstAOtqsz+be63/B5v9PdRyzUPuz427RQHwAAAAD71lrc2XfwcN1TqHbQcN3Vyydm2w+e135DFnZbkswLBu/Ul8nz/gAAAABgTVqLYd/O4frDexg3G8rdbxf9PzRvHAAAAACM2loM+z49XJ++h3GXDNdj53dU1Y8keUCSy+c+f29Kbh+unvcHAAAAwKpai2HfOzM5Nvufhzfz3sns23iTvHu4vqaq7jun/4Akb8rkt/3JKte6GN9M0kkeNO1CAAAAABi3NfeCju7+YlW9NMlZSS6pqg8muSzJvZM8LsmNSZ7c3X9XVW9M8qok/1BV709ycyY7Ah+R5MIkfzSN3zBXd99UVZ9JclRVnZPky5ns9vtQd39uKWtV1QlJThi+zh5fflJVbRs+X9/dr5w3Z0uSw4evjx6uL6iqI4fPF3b32UupAwAAAIC1ac2FfUnS3f+9qv4hySszOaZ7QpLrk3wuydlzxp1aVZck+Y0kv5LJCzS+kuQ1Sc7s7lv3beW79MtJ3pLkZ5I8L0kluSqT37MUj05y4ry2hw5/SXJFJv9mc/1MkmPmtf3k8DdL2AcAAAAwAmsy7EuS7v77JD+/iHF/nuTPF7nmxt30Hbubvs1JNi/mHruY/09Jjl/u/DnrnJ7k9CXOOXZv7wsAAADA+rAWn9kHAAAAACyDsA8AAAAARmLNHuNdq6pqYxZ/pPet3b1zNdcBAAAAgFnCvqXbmOS0RY7dlmTnKq8DAAAAAEmEfUvW3dszeZvumlgHAAAAAGZ5Zh8AAAAAjISdfQDsMzNbj5t2CQAAAKNmZx8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQtgHAAAAACMh7AMAAACAkRD2AQAAAMBIbJh2AQDsPzZuOX/aJQDst2a2HjftEgCAfcDOPgAAAAAYCWEfAAAAAIyEsA8AAAAARkLYBwAAAAAjIewDAAAAgJEQ9gEAAADASAj7AAAAAGAkNky7ABanqh6Q5MQkj07ymCQPTVJJfrS7/2kXcx6f5Flz5hyW5OrufsA+KBkAAACAfUzYt348NsnrknSSy5PckOTgPcx5fpKXJ/leki9mEvYBAAAAMFKO8a4fn01ydJKDu/thSS5dxJxtSTYluUd3P3r1SgMAAABgLVhTYV9VPb6qzq2qq6vqlqq6tqo+VlXPmTfuOVX1yaq6oaq+U1Wfr6pXV9XdFlhzZvi7R1W9paquHObsqKoThjEbqup3q+qyqvpuVX2lqn5jL3/Lz1XVJ4bfcEtVXVNVF1TVS5ezXndf1d1/2903LmHOju6+pLtvXc49AQAAAFhf1swx3qp6UZJ3Jrk9yYeSXJbk0EyOr740yf8cxr0+yauTXJ/kfUluSvL0JK9P8rSqeuoC4daBSf4mySFJPpjkrkmel+Qvq+qpw/pPSPLhJLck+Q9J3l5VX+/uc5fxW341ybuSXJfkr4ZaD03yyCQvSPKOpa4JAAAAAHuyJsK+qvrxTAKwG5Mc1d1fmNf/gOH6pEyCviuTPL67rxvaX53kA0l+NskrMwn+5rp/kouTHNvdtwxz3pvkk0n+IslXkjyiu3cOfW9O8qUkW5IsOexL8uIktyZ5VHd/bd5vuc8y1gMAAACAPVoTYV+Sl2RSyx/MD/qSyRHW4eNJw/V1s0Hf0H9bVf12kmckOTn/NuxLklfMBn3DnL+tqsuTPCTJqbNB39D3z1X1qSRHVtUB3X37Mn7TbZm8GGP+b7l+GWtNXVVdtIuuw/dpIQAAAADs0lp5Zt8Th+uH9zBu03D9X/M7uvvLSa5K8pCqOmhe987u/soC610zXBcKsq7OJIC83x5qWsg5Se6e5IvDcwJPqKr7LmMdAAAAAFi0tbKz7+DhevUexs2GeNfuov/aJA8a1rthTvsNC46e7L5Ldy/Uf9twPXAPNf0b3f3mqro+k2cBvizJK5J0VV2Q5JTu/uxS15y27j5iofZhx9+mhfoAAAAA2LfWys6+ncP1h/cwbjaU29Vuux+aN25quvtPu/uJSe6d5Lgkf5Lk6CQftcsPAAAAgNWwVsK+Tw/Xp+9h3CXD9dj5HVX1I0kekOTyuc/fm7bu3tndf93dL0qyLZM3Ah893aoAAAAAGKO1Eva9M5Njs/95eDPvncy+jTfJu4fra+bujquqA5K8KZPf8yerXOseVdWTq6oW6Dp0uH57X9YDAAAAwP5hTTyzr7u/WFUvTXJWkkuq6oNJLsvkCOzjktyY5Mnd/XdV9cYkr0ryD1X1/iQ3Z7Ij8BFJLkzyR9P4DfN8IMlNVfXpJDNJKslRmfyWi5J8fDmLVtW2OV9n34L7hqr61vD57O6+cM74w5NsmbfMveat88r1+oZgAAAAAO5sTYR9SdLd/72q/iHJKzM5pntCkuuTfC7J2XPGnVpVlyT5jSS/kskLNL6S5DVJzuzuW/dt5QvakuRpmby44hlJvpvkiiSnJnlnd39vmeueuEDbs+d83p5J4DnrfgvMufu8ttMz+XcGAAAAYJ1bM2FfknT33yf5+UWM+/Mkf77INTfupu/Y3fRtTrJ5MfdYYO5ZmexSXFHdvdDR4N2N357JrkIAAAAA9gNr5Zl9AAAAAMBeEvYBAAAAwEisqWO8a1VVbczij/S+tbt3LmLNzUk2LmK9Hd193iLvDQAAAMB+TNi3OBuTnLbIsduS7FzEuM1JjlnEuPckOW+R9wYAAABgPybsW4TVeNHF7l4OAgAAAADL4Zl9AAAAADASdvYBsM/MbD1u2iUAAACMmp19AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAIyHsAwAAAICREPYBAAAAwEgI+wAAAABgJIR9AAAAADASwj4AAAAAGAlhHwAAAACMhLAPAAAAAEZC2AcAAAAAI7Fh2gXAWrJxy/nTLgFGbWbrcdMuAQAAYNTs7AMAAACAkRD2AQAAAMBICPsAAAAAYCSEfQAAAAAwEsI+AAAAABgJYR8AAAAAjISwDwAAAABGQti3jlTVC6vqXVX1mar6dlV1Vb1uN+MPrqpTquqcqvpiVd02zPnpfVk3AAAAAPvGhmkXwJKcmeSgJN9Mck2Sh+1h/MYkbxw+X5Xk+iSHrVZxAAAAAEyXnX3ry3OTbOzuQ5LsckffHFck+ekk9+7uByb5yGoWBwAAAMB0rYmwr6oeX1XnVtXVVXVLVV1bVR+rqufMG/ecqvpkVd1QVd+pqs9X1aur6m4LrDkz/N2jqt5SVVcOc3ZU1QnDmA1V9btVdVlVfbeqvlJVv7EXv2PjcEx2W1UdXlXnVdU3qurmqrqwqp663LWTpLs/0t1XLGH8N7v7E939jb25LwAAAADrw9TDvqp6UZK/S3LCcD0zyflJDk3y0jnjXp/k3CQ/luR9Sf44SSV5fZKPVtVdF1j+wCR/k+QZST6Y5L2ZHH39y6r6qWG9lyTZnuTsJPdI8vaq+sW9/FkPSfL3SQ5J8q4kf5HkiCQfXoG1AQAAAGBBU31mX1X9eJJ3JLkxyVHd/YV5/Q8Yrk9K8uokVyZ5fHdfN7S/OskHkvxskldmEvzNdf8kFyc5trtvGea8N8knMwngvpLkEd29c+h7c5IvJdmSSRC4XEcneVN3nzLnt/xxJgHgWVX14e6+cS/WBwAAAIB/Y9o7+16SSeD4B/ODviTp7quGjycN19fNBn1D/21JfjvJHUlO3sU9XjEb9A1z/jbJ5UnuleTU2aBv6PvnJJ9K8oiqOmC5PyrJDUl+f95v+WySc5IcnORZe7H2VFTVRQv9JTl82rUBAAAAMDHtsO+Jw/XDexi3abj+r/kd3f3lTN40+5CqOmhe987u/soC610zXC9aoO/qTALI++2hpt25uLu/tUD79uH6mL1YGwAAAAAWNNVjvJnscksmAdvuzIZ41+6i/9okDxrWu2FO+w0Ljk5uS5LuXqj/tuF64B5q2p2v7qJ9dlfi/FByzevuIxZqH3b3bVqoDwAAAIB9a9o7+3YO1x/ew7jZUG5Xu+1+aN64aTtsF+2z9a+VOgEAAAAYkWmHfZ8erk/fw7hLhuux8zuq6keSPCDJ5XOfvzdlm6rqBxdoP3a4XrJAHwAAAADslWmHfe/M5Njsfx7ezHsns2/jTfLu4fqaqrrvnP4Dkrwpk9/xJ6tc61IclOT35jZU1WOT/FImu/o+MI2iAAAAABi3qT6zr7u/WFUvTXJWkkuq6oNJLkty7ySPS3Jjkid3999V1RuTvCrJP1TV+5PcnMmOwEckuTDJH03jN+zCJ5OcXFVPyOTtvj+U5BczCSVf3N03LmfRqjo5yZHD1x8ZrsfPCUW/1N1b5815U5L7DF9n555SVf9x+Hxed5+3nHoAAAAAWFum/YKOdPd/r6p/SPLKTI65npDk+iSfS3L2nHGnVtUlSX4jya9k8gKNryR5TZIzu/vWfVv5bl2e5NeSbB2ud0tycZLf7+6P7sW6RyY5cV7bI4e/JLlguOdcv5DkwfPanjrn80yS8/aiJgAAAADWiKmHfUnS3X+f5OcXMe7Pk/z5ItfcuJu+Y3fTtznJ5sXcYw/3/8ckz9zbdeatuTlLrG13/w4AAAAAjMu0n9kHAAAAAKwQYd//v717D7PlLutE/30x3OSSGwdQJGzuQZk5MUG5GCGAkoSMEAIaVDwJgocZQAwwwhZ0EuSSjUPGwDkg80wm5IjMCIQ5wRERBmEDSbgZTFAxDAnsjNwHQhIgF0J454+qPbSd7uzu3at7ddf+fJ5nPbVW1a/eejvUbrq//asqAAAAAJiITXEZ72ZVVduy8stmz1xl7cMy3J9wj7r7tNXUBgAAAGDfJOy7ZduSnLrCsed0964ktcLxh62i9mkrHAcAAADAPkzYdwu6e2dWHt6ttvY5Sc5Zj9oAAAAA7Jvcsw8AAAAAJkLYBwAAAAAT4TJeWGDXjuPm3QIAAADAXjOzDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBE7DfvBgDYd2zb/q55twDAIrt2HDfvFgCAGTKzDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwb5GqOqqquqpOm1G9bWO9c2ZQ6ylV9f9U1Yer6pqx7p/cwvhbV9VvVdWbquriqvruuM8z19oLAAAAAJvPfvNugFX53ST/Z5JvJ/lCkkP3MP4OSc4c3381yVeS3HO9mgMAAABgvszs21qen+QBSe6c5F+tYPy1SR6f5Ee7++5Jzl7H3gAAAACYs3UP+6rq5Kp6R1V9rqquGy8/vaCqnrbM+IOq6pVV9XdVdW1VXV1Vl1TVjqq6w4JxR1TVa8dtV1bV9VX12ao6o6oO3Mtez0nygfHjqeMlr7tfRy0Yd9uq2l5Vfzv2eM14ae0vLap3WpLPjx9PWlTv5NX2190f6O7PdnevcPx3u/vd3f3l1R4LAAAAgK1nIy7j/aMkf5/kQ0m+nOTgDLPN3lxVD+zu39s9sKrunSFsu1eSi8Z9b5VhNtvzk7wxyXfG4b+R5ElJPpjkfeO4I5K8IMmxVfXQ7v7WKns9b1yeNNbduWDbrrHH2yR5T5JHJbk0yeuT/HCSpyR5a1Ud1t0vGffZmeSAJL+V5JIF9ZPk4lX2BgAAAAC3aCPCvgd39+ULV4yB2buTbK+qN3b3F8dNb8kQ9L2ku09ftM9dMtyrbrfTkzynu29aNO4ZSc5K8uwkr15No919XlVdlSHs29ndpy0x7IUZgr53J3lCd39vPO7Lknw8ye9U1Z9394XdvbOqdmUI+y5ept6WUFUXLbNpT/cNBAAAAGCDrPtlvIuDvnHddzPMiNsvyWOT4bLcJA/PMOPtZiFdd3+9u69f8PmKxUHf6Owk1yQ5ehb9L+HXk3SSF+wO+sZ+vpbk5eNHT7sFAAAAYMOt+8y+qjokyYszhHqHJLn9oiH3GJcPG5fv6e7vr6DurZM8K8lTk/x4kv3zT8PLeyy131pU1Z2S3C/JF7v70iWGvH9c/uSsjz1v3X3EUuvHGX+Hb3A7AAAAACxhXcO+qrpPhktbD0zy4STvTXJ1kpuSbMtwuextx+EHjMsvZmXemuGefZ9L8s4kX0lyw7jtlAV1Z2n/cbncAy92rz9gHY4NAAAAALdovWf2vSDDAzme3t3nLNxQVb+cIezb7apxuccZeVX1kAxB3/uSHLvwctqqulWSF62p6+VdPS7vvsz2H1k0DgAAAAA2zHrfs+9+4/IdS2x71KLPHx2XR4+B3Urq/tnCoG/007n5pcKrsfs+gD+0eMP4dN/Lk9yjqu6/xL6PHpefXEk9AAAAAJil9Q77do3LoxaurKqjs+ghFt19UZILkxyW4R5/WbTPwVV1uz3UvWuGB3+sxTfG5SHLbD87SSX5t1X1vwO88WnBv7dgzG7fzPBAj+XqAQAAAMBMrPdlvG9I8vQkb6+qc5N8KcmDkxyT5G1JTlw0/mlJdiZ5VVU9eXxfSe6f5HFJDs0Q9H0iyQVJTqiqC5Ocn+RuSY5N8pnxOHvrMxnuG/jUqroxyRUZwro3d/cVSV4zHueJSS6pqr9I8sNJfjHJXZP8QXefv7tYd3+7qj6W5Ger6i1J/nuG2X5/1t2fWk1jVXV8kuPHj7svJX54VZ0zvv96d//rRftsz/DfLRmC1CR5elUdOb4/v7vPWk0fAAAAAGxO6xr2dfenqurRSV6R5LjxeJckOSHDPfpOXDT+81V1eIZ77h2f5LlJrs8Q8J2R5GvjuJuq6glj3ccneV6GgO6scd2n19DzTVX1pCQ7MgR4d8oQOJ6f5Iru/m5V/XyG+xH+SpLfTPK98es6pbv/8xJlfy3JH2YIOX95rPeFJKsK+zKEdSctWnef8ZUMweS/XrT9mNz8kulHjK/dhH0AAAAAE1DdPe8e2MKq6qLDDz/88IsuumjerQBbwLbt75p3CwAssmvHcfNuAQBY5IgjjsgnP/nJT3b3Eavdd73v2QcAAAAAbBBhHwAAAABMxHo/oGPuquqw/OChFreou09bz14WqqptSU5e4fAzu/uqdWsGAAAAgEmYfNiX4aEWp65w7Gnr18bNbMvK+zonwwNNAAAAAGBZkw/7uvucDGHZptLdOzM8lRcAAAAAZsI9+wAAAABgIiY/sw+AzWPXjuPm3QIAAMCkmdkHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEfvNuwEA9h3btr9r3i0A62jXjuPm3QIAwD7PzD4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR966yqjqqqrqrTZlDrGVX176vqY1V17Vj3Fbcw/oCq+u2qektVfbqqvjfu83Nr7QUAAACAzWe/eTfAqpyRZP8k30zypST33cP4bUn+YHz/hSRfT3K39WoOAAAAgPkys29reWqSbd19UJJlZ/QtcEWSn0tycHffM8lfrmdzAAAAAMzXlgv7qurkqnpHVX2uqq6rqmuq6oKqetoy4w+qqldW1d+Nl75eXVWXVNWOqrrDgnFHVNVrx21XVtX1VfXZqjqjqg7cy17PSfKB8eOp4yW0u19HrbZed/9ld1+xivHf7O6/6u4rV3ssAAAAALaerXgZ7x8l+fskH0ry5SQHJ3l8kjdX1QO7+/d2D6yqe2cI2+6V5KJx31sleUCS5yd5Y5LvjMN/I8mTknwwyfvGcUckeUGSY6vqod39rVX2et64PGmsu3PBtl2rrAUAAAAAt2grhn0P7u7LF66oqtskeXeS7VX1xu7+4rjpLRmCvpd09+mL9rlLkm8vWHV6kud0902Lxj0jyVlJnp3k1atptLvPq6qrMoR9O7v7tNXsv5lU1UXLbDp0QxsBAAAAYFlb7jLexUHfuO67SV6fIbx8bDJclpvk4UkuzhIhXXd/vbuvX/D5isVB3+jsJNckOXoW/QMAAADAetlyM/uq6pAkL84Q6h2S5PaLhtxjXD5sXL6nu7+/grq3TvKsDA/B+PEMT71dGIbeY6n99hXdfcRS68cZf4dvcDsAAAAALGFLhX1VdZ8kH09yYJIPJ3lvkquT3JRkW4bLZW87Dj9gXH4xK/PWDPfs+1ySdyb5SpIbxm2nLKgLAAAAAJvSlgr7Mjws4+AkT+/ucxZuqKpfzhD27XbVuNzjjLyqekiGoO99SY7t7u8t2HarJC9aU9cAAAAAsAG22j377jcu37HEtkct+vzRcXn0GNitpO6fLQz6Rj+dm18qvBq77wP4Q2uoAQAAAAB7tNXCvl3j8qiFK6vq6CTPXLiuuy9KcmGSwzLc4y+L9jm4qm63h7p3zfDgj7X4xrg8ZI11AAAAAOAWbbXLeN+Q5OlJ3l5V5yb5UpIHJzkmyduSnLho/NOS7Ezyqqp68vi+ktw/yeOSHJoh6PtEkguSnFBVFyY5P8ndkhyb5DPjcfbWZzLcN/CpVXVjkiuSdJI3d/cVqylUVc9McuT4cfdsxF+oqh8b31/a3TsW7fOaJHcZP+7e97er6mnj+/O6+7zV9AEAAADA5rSlwr7u/lRVPTrJK5Icl6H/S5KckOEefScuGv/5qjo8wz33jk/y3CTXZwj4zkjytXHcTVX1hLHu45M8L0NAd9a47tNr6PmmqnpSkh1JfjHJnTIEjudnCP5W48j80/sSJsk/H19J8sHxOAs9Jcm9Fq173IL3u5Kct8o+AAAAANiEtlTYlyTdfWGSxyyzuZYY/40Ml/He7FLeReOuTPLsZTZvW0WLS9X+RJLHrqXGWOfkJCevcp9taz0uAAAAAFvDVrtnHwAAAACwDGEfAAAAAEzElruMd96q6rAM9//bo+4+bb3rAAAAAMBuwr7VOyzJqSsce9oG1AEAAACAJC7jXbXuPqe7ayWvjagDAAAAALsJ+wAAAABgIlzGC8CG2bXjuHm3AAAAMGlm9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEzEfvNuAIB9x7bt75p3CwAAbJBdO46bdwuwTzKzDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJiI/ebdACtTVQ9K8tQkhyX5yST3HDfduru/t8w+P5/kmHGfw5IclOSC7j5yndsFAAAAYA6EfVvH0Un+TZKbknw2yfVJbreHfZ6T5Inj2MsyhH0AAAAATJTLeLeOdyd5WJI7dfeDknx1Bfu8OsmDk9wxyS+sY28AAAAAbAJbIuyrqpOr6h1V9bmquq6qrqmqC6rqacuMP6iqXllVf1dV11bV1VV1SVXtqKo7LBh3RFW9dtx2ZVVdX1WfraozqurANfRbVXVSVV1YVf9zrPuPVfWeqjpxb2p292e6+2Pdfd0q9vlId/99d9+0N8cEAAAAYGvZKpfx/lGSv0/yoSRfTnJwkscneXNVPbC7f2/3wKq6d5IPJLlXkovGfW+V5AFJnp/kjUm+Mw7/jSRPSvLBJO8bxx2R5AVJjq2qh3b3t/ai31cm+Z0kn0/ytiRXJ/mRJD+V5BeTvHUvagIAAADALdoqYd+Du/vyhSuq6jYZLm3dXlVv7O4vjpvekiHoe0l3n75on7sk+faCVacnec7imW9V9YwkZyV5doZLYVfrWUm+OPZ97RI9AAAAAMDMbYnLeBcHfeO67yZ5fYbA8rHJcFlukocnuThLhHTd/fXuvn7B5yuWucT17CTXZHgoxt66McPDNG7Wwxpqzk1VXbTUK8mh8+4NAAAAgMGWCPuq6pCqen1VXTreg6+rqpO8Yxxyj3H5sHH5nu7+/grq3rqqnltV54/37LtprPv9JHdeUHe13pJkW5JPV9XpVXVMVe2/l7UAAAAAYEU2/WW8VXWfJB9PcmCSDyd5b4Z74N2UIVA7Kcltx+EHjMsvZmXemuGefZ9L8s4kX0lyw7jtlAV1V+v5Y82nJ9k+vr5XVX+R5IXdfdle1p2b7j5iqfXj7L7DN7gdAAAAAJaw6cO+DA/LODjJ07v7nIUbquqXM4R9u101Lvc4I6+qHpIh6HtfkmO7+3sLtt0qyYv2tuHx0uAzk5xZVXdNcmSSp2Z4OMdPVNVPdPcNt1ACAAAAAFZtK1zGe79x+Y4ltj1q0eePjsujx8BuJXX/bGHQN/rpJLdfeYvL6+6vdfd/6e5fSvL+JPdN8uBZ1AYAAACAhbZC2LdrXB61cGVVHZ3kmQvXdfdFSS5McliSFy8uVFUHV9Xt9lD3rhke/LFXquq2VfUzS6y/dZKDxo/XLt4OAAAAAGu1FS7jfUOGe9+9varOTfKlDDPjjknytiQnLhr/tCQ7k7yqqp48vq8k90/yuAxPj92V5BNJLkhyQlVdmOT8JHdLcmySz4zH2Ru3T3J+VV2W5KIkVyS5XZKfT/KgDDMJ/2G1RavqLkles2DVXcblfxwfKpIkO7r70gX7HJkfBKJ3HJf3r6pzdo/p7pNX2wsAAAAAm9OmD/u6+1NV9egkr0hyXIaeL0lyQoZ79J24aPznq+rwDPfcOz7Jc5NcnyHgOyPJ18ZxN1XVE8a6j0/yvAwP9jhrXPfpvWz5OxlmFT46ySPGHr6V5PIk/yrJ2XtZ9475p/cn3O3/WvD+nCSXLvh8vyX2ueuidSfvZT8AAAAAbDKbPuxLku6+MMljltlcS4z/RobA7WaX8i4ad2WSZy+zedsqWlxY88YkfzC+Zqa7d2WJr3UP+5yTIQAEAAAAYB+wFe7ZBwAAAACsgLAPAAAAACZiS1zGO29VdViGe+/tUXeftsKapyQ5YAVDd3b3zpXUBAAAAGDfJuxbmcOSnLrCsaetcNwpSe61wrE7VzgOAAAAgH2YsG8F1uNBF929bZb1AAAAAMA9+wAAAABgIoR9AAAAADARLuMFYMPs2nHcvFsAAACYNDP7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEzEfvNuAIB9x7bt75p3C5vCrh3HzbsFAABgoszsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMhLAPAAAAACZC2LdFVNWtq+q3qupNVXVxVX23qrqqnnkL+/xYVb20qt5eVZdV1ffHfe63kb0DAAAAsDH2m3cDrNgdkpw5vv9qkq8kuece9nlIklck6SSfT3J1kgPWpz0AAAAA5s3Mvq3j2iSPT/Kj3X33JGevYJ+/TvLIJAd0932TXLKO/QEAAAAwZ5s67Kuqk6vqHVX1uaq6rqquqaoLquppy4w/qKpeWVV/V1XXVtXVVXVJVe2oqjssGHdEVb123HZlVV1fVZ+tqjOq6sA19HvUeJnsaVX18Kp639jDt6rqPVX1kL2t3d3f7e53d/eXV7HPF7r7w919zd4eFwAAAICtY1OHfUn+KMm9knwowyWsfzp+fnNVvXzhwKq6d5JPJnlJkuvHfc9O8oUkz0/yfywY/htJnprkM0neNI79cpIXJLmgqu60xr4fmmRnkhuSvD7Ju5M8NsmHq+pn11gbAAAAAJa02e/Z9+Duvnzhiqq6TYbwbHtVvbG7vzhuekuGIPAl3X36on3ukuTbC1adnuQ53X3TonHPSHJWkmcnefUa+j4myW929/+7oPYTk5yX5OyqemB3f38N9QEAAADgZjb1zL7FQd+47rsZZsvtl2G2XKrqiCQPT3Jxlgjpuvvr3X39gs9XLA76RmcnuSbJ0Wts/bIkb1jUwzuTfDDJ/ZJsudl9VXXRUq8kh867NwAAAAAGmzrsq6pDqur1VXXpeA++rqpO8o5xyD3G5cPG5XtWMmOuqm5dVc+tqvPHe/bdNNb9fpI7L6i7tz68TB87x+VPrrE+AAAAANzMpr2Mt6ruk+TjSQ5M8uEk701ydZKbkmxLclKS247DDxiXX8zKvDXJk5J8Lsk7k3wlw/31kuSUBXX31leXWf+Vcbn/GutvuO4+Yqn14+y+wze4HQAAAACWsGnDvgwPyzg4ydO7+5yFG6rqlzOEfbtdNS73OCNvfCLuk5K8L8mx3f29BdtuleRFa+p6cLdl1t99XF49g2MAAAAAwD+xmS/jvd+4fMcS2x616PNHx+XRY2C3krp/tjDoG/10ktuvvMVlHblMH0eNy7+ZwTEAAAAA4J/YzGHfrnF51MKVVXV0kmcuXNfdFyW5MMlhSV68uFBVHVxVt9tD3btmePDHLNw/wxN9F9Z/YoaQ8rIMlyUDAAAAwExt5st435Dk6UneXlXnJvlSkgcnOSbJ25KcuGj80zI8AONVVfXk8X1lCN4el+GpsbuSfCLJBUlOqKoLk5yf4bLbY5N8ZjzOWv1lkjOq6tgkl2SYTXhCkuuT/PpKHiKylKranh88/fawcfn0qjpyfH9+d5+1aJ9zFnzcve+rq+pb4/uzuvv8vekHAAAAgM1l04Z93f2pqnp0klckOS5Dr5dkCM2uyqKwr7s/X1WHZ7jn3vFJnpshXNuV5IwkXxvH3VRVTxjrPj7J8zI82OOscd2nZ9D+x5L8fpKXj31UkvcneWl3f2INdY/JzS9hfsT42u2sRdtPys2dsOD9zgyBJwAAAABb3KYN+5Kkuy9M8phlNtcS47+R4TLem13Ku2jclVl0me0C21bR4i0d4yNJfm4WtRbUPGov9rnZfycAAAAApmkz37MPAAAAAFgFYR8AAAAATMSmvox33qrqsAz3/9uj7j5tlbWPyqInAi/jqu4+czW1AQAAANg3Cftu2WFJTl3h2NO6e2eWuJfgMo5aYe0rkpy5wpoAAAAA7MNcxnsLuvuc7q6VvPai9mkrrL1tHb40AAAAACZI2AcAAAAAEyHsAwAAAICJcM8+ADbMrh3HzbsFAACASTOzDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCL2m3cDAOw7tm1/17xbAADIrh3HzbsFgHVjZh8AAAAATISwDwAAAAAmQtgHAAAAABMh7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcK+TaaqenxdUVW3W2bMrnHMfms4xs41NQoAAADApiPs27wOSXLKvJsAAAAAYOsQ9m1O30xyZZLtVXWXeTcDAAAAwNYg7Nucrk3y8iT7Jzl1VkWr6uSq6vHjoxZcMtxVddqsjgMAAADAfAj7Nq/XJ7k8ybOq6v4zqnlxkpeN768Y3+9+7ZzRMQAAAACYk716wAPrr7tvrKrtSd6e5NVJTphBzYuTXFxVpybZ1d2nrXTfqrpomU2HrrUvAAAAAGbDzL5NrLvPTfKRJE+qqiPn3Q8AAAAAm5uZfZvfC5NcmOQ1SR42rya6+4il1o8z/g7f4HYAAAAAWIKZfZtcd38kyblJHlpVJ867HwAAAAA2L2Hf1vA7SW5McnpV3WbezQAAAACwOQn7toDuvizJG5LcO8lvzqDk95P80AzqAAAAALCJCPu2jt9PclWSlya54xprfSPJPdfaEAAAAACbi7Bvi+juK5O8KsmBSQ5eY7m/SnKvqvqvVfWyqvrdqnrkmpsEAAAAYK48jXdreV2SZyfZtsY6v5Wkkzw2yeMzhL4vS/KhNdYFAAAAYI6EfZtMd9ctbLshw3371nqMryX5lbXWAQAAAGBzcRkvAAAAAEyEsA8AAAAAJsJlvFtcVR2Q5JQVDj+nu3etWzMAAAAAzJWwb+s7IMmpKxy7M8mu9WoEAAAAgPkS9m1x40y9ZR/qAQAAAMC+wz37AAAAAGAizOwDYMPs2nHcvFsAAACYNDP7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJmK/eTcAwL5j2/Z3zbsFAABgwnbtOG7eLcydmX0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7Nomq6vF1RVXdbpkxu8Yx+210fwAAAABsfsK+zeeQJKfMuwkAAAAAth5h3+byzSRXJtleVXeZdzMAAAAAbC3Cvs3l2iQvT7J/klNnXbyqfraq/mtVfaGqbqiqr1TVR6tq5scCAAAAYOMJ+zaf1ye5PMmzqur+sypaVcck2ZnkyCR/leSMJOcluSHJs2d1HAAAAADmx4MeNpnuvrGqtid5e5JXJzlhRqV/I0O4e1R3X7Jwg0uGAQAAAKZB2LcJdfe5VfWRJE+qqiO7+/wZlr9uieN9fU87VdVFy2w6dM0dAQAAADATLuPdvF44Ll8zo3pvGZcfq6o3VtWJVfVjM6oNAAAAwCYg7NukuvsjSc5N8tCqOnEG9f5Lkn+R5G+S/HqSP03yj1X111X18yvY/4ilXkkuXWtvAAAAAMyGsG9z+50kNyY5vapus9Zi3f2u7n5MkgOTPDbJHyb5iSR/XlU/vtb6AAAAAMyXsG8T6+7Lkrwhyb2T/OYM636nu9/f3S9I8qokt0ly7KzqAwAAADAfwr7N7/eTXJXkpUnuuLdFquqRVbXUA1nuNi6v3dvaAAAAAGwOnsa7yXX3lVX1qiR/sMZSr0tyj6q6IMmuJN9NckSSxyS5IsM9/AAAAADYwszs2xpelyGgW4tXJXlfhnv0PTPJv8wwq+9VSX6qu7+5xvoAAAAAzJmZfZtEd9ctbLshw3371lL/bUnetpYaAAAAAGxuZvYBAAAAwEQI+wAAAABgIlzGu0VV1QFJTlnh8HO6e9e6NQMAAADApiDs27oOSHLqCsfuzNof8AEAAADAJifs26LGmXrLPtQDAAAAgH2Pe/YBAAAAwESY2QfAhtm147h5twAAADBpZvYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMxH7zbgCAfce27e+adwsAAMDE7Npx3Lxb2FTM7AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIYR8AAAAATISwDwAAAAAmQtg3R1XV4+uKqrrdMmN2jWP22+j+AAAAANhahH2bwyFJTpl3EwAAAABsbcK++ftmkiuTbK+qu8y7GQAAAAC2LmHf/F2b5OVJ9k9y6qyLj5cA76yqH62qN1fV16rquqq6qKp+ZdbHAwAAAGB+hH2bw+uTXJ7kWVV1/3Wof2CSC5P8syRvSvLHSe6T5C1V9dvrcDwAAAAA5kDYtwl0941Jtie5dZJXr8Mh/nmSjyc5vLtf3N3PSnJ4hkuIX1lV91mHYwIAAACwwYR9m0R3n5vkI0meVFVHzrj8TUle3N3fX3C8zyd5XYaA8df2VGC87PdmrySHzrhXAAAAAPaSsG9zeeG4fM2M6/6PMdxbbOe4/MkZHw8AAACAOdhv3g3wA939kao6N8lTqurE7n7rjEp/dZn1XxmX+6+gtyOWWj/O7jt8L/sCAAAAYIbM7Nt8fifJjUlOr6rbzKjm3ZZZf/dxefWMjgMAAADAHAn7NpnuvizJG5LcO8lvzqjsIVW1bYn1R43Lv5nRcQAAAACYI2Hf5vT7Sa5K8tIkd5xBvR9K8uqq+t//e1fVvZM8L8n3kvzJDI4BAAAAwJy5Z98m1N1XVtWrkvzBjEp+KslDk1xUVe9NckCSXxqXL+ruy2d0HAAAAADmyMy+zet1SXbNqNY3kzwiyd8neXqSk5J8Psmvdve/ndExAAAAAJgzM/vmqLvrFrbdkOG+fbM61peSPG1W9QAAAADYfMzsAwAAAICJEPYBAAAAwES4jHcLqaoDkpyywuHndPeudWsGAAAAgE1H2Le1HJDk1BWO3Zlk1y3dFxAAAACAaRH2bSHjTD3hHQAAAABLcs8+AAAAAJgIYR8AAAAATITLeAHYMLt2HDfvFgAAACbNzD4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJEPYBAAAAwEQI+wAAAABgIoR9AAAAADARwj4AAAAAmAhhHwAAAABMhLAPAAAAACZC2AcAAAAAEyHsAwAAAICJqO6edw9sYVX1jdvf/vYHPehBD5p3KwAAAACT8A//8A+57rrrruzug1e7r7CPNamqzye5c5Jdc25lKzp0XF461y5g4zjn2Zc439mXON/Z1zjn2Zc43+dnW5Jruvveq91R2AdzUlUXJUl3HzHvXmAjOOfZlzjf2Zc439nXOOfZlzjftyb37AMAAACAiRD2AQAAAMBECPsAAAAAYCKEfQAAAAAwEcI+AAAAAJgIT+MFAAAAgIkwsw8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfbJCqekRV/UVVXVlV11XVp6rqlKr6oVXWeUZV/fuq+lhVXVtVXVWvWK++YTlV9WNVdXZVfamqbqiqXVV1ZlUduMo6B4377RrrfGms+2Pr1Tus1izO96r6+ao6o6r+qqq+MX7/Pn89+4a9tdZzvqruUFW/WlX/qaourarvVNW3quqvq+qFVXWb9f4aYKVm9D3+t8ef9XdV1ber6pqq+tuq+nd+pmGzmdXP8YtqPrKqbvL76eZQ3T3vHmDyquqJSd6R5Pokb01yZZJfSPLAJOd29y+uotZVSfZP8s2xzn2TvLK7f3fGbcOyquq+SS5Mctck70xyaZKfTvLoJJ9J8jPd/Y0V1Dl4rPOAJO9P8okkhyZ5YpKvJXl4d39uPb4GWKkZnu/nZTi3r09yWZIHJ7mgu49cn85h78zinK+qY5K8O8PPKh/IcM4fmOQJSe4+1n9sd1+/Tl8GrMgMv8dfluTbSS5J8tUkt07yk0keleSaJEd199+sx9cAqzGrc35RzTsl+VSSuyS5Y/x+Ondm9sE6q6o7J/kPSW7K8H/yz+ju305yWJKPJHlKVT11FSWfmmRbdx+UxF9MmJc3ZPgB4XndfXx3b+/uxyT5wwwh9itXWOdVGYK+f9fdjx3rHJ/kt8b6b5h967BqszrfX50h4Ltjhj/4wGY1i3P+K0meluRHuvspY41nZfie/8kkj0jynPVpH1ZlVt/jH9zdh3X3Sd39ou5+fncfleT/TnLnVdSB9Tarc36h12aYkHL67NpkLczsg3VWVb+e5D8m+ePuPmnRtsck+askH+ruR+1F7ZOTvCn+csIGGv8aeFmSXUnu293fX7DtTkm+nKSS3LW7v3MLde6YYfbe9zP8MvitBdtuleRzSe41HsPsPuZiVuf7EnW3Jfl8zOxjk1mvc37RMX4lyVuS/Hl3C76Zmw063/dPclWSy7r7/mvtGdZiPc758Sq285L8WpL94vfTTcHMPlh/jxmXf7nEtg8luTbJI6rqthvXEqzJo8flexf+gJAkY2B3QZIfTvKwPdR5WJLbZwg7vrVww1j3PYuOB/Mwq/MdtoqNOOdvHJffW0MNmIWNON93B9qfWkMNmJWZnvNVddcMV7Gd191/MstGWRthH6y/B47L/754Q3d/L8PMjv2S3Gcjm4I1WPacHn12XD5gg+rAenKesq/ZiHP+18flUn8IhY008/O9qp5ZVadV1Wuq6j1J/r8kVyTZvvdtwszM+pz/DxlypX+5lqaYvf3m3QDsA/Yfl1cvs333+gPWvxWYiVmd0/5tsBU4T9nXrOs5X1XPTXJMkouTnL03NWCG1uN8f2aShy74/Ikkv9Ldl62uNVgXMzvnx9tVPSHJid391bW3xiyZ2QcrMD6KvFfxMoUZAGCBqjohyZkZHt7x5O6+8Zb3gK2nux/W3ZXhqaSPG1dfVFVHz7EtmKnx3sNnJnl7d79tvt2wFDP7YGUuT3L9KsZ/acH73X8d2X+pgQvWX7XKnmBeZnVO+7fBVuA8ZV+zLud8VR2f5E8zPJjp0R68xCaxbt/ju/sbSf5bVX0iyaVJ3lxV9+ru61bdJczOrM75s5Ncl+TZM+iJdSDsgxXo7seuYffPJHlIhvseXLRwQ1Xtl+TeGW5Q7YdetorPjMvl7uWx+0lzy90LZNZ1YD05T9nXzPycr6pfTPKfMszoe0x3f3YPu8BGWffv8d19VVV9JMnxSX4iyV/vbS2YgVmd84dnCAb/Z1Uttf2lVfXSJO/s7uNX2yRrJ+yD9ff+JL+a4f40/3nRtkdmeNrRh7r7ho1uDPbSB8bl46rqVguf5FVVd0ryMxmeMv3RPdT5aIa/CP5MVd1p4RN5q+pW+cGlLx9YamfYILM632GrmOk5X1W/muEBBV+MGX1sPhv1Pf4e49ITqJm3WZ3zf5zh99jF7p/hd9yLM0x0+Zu1Nszecc8+WH/nJvl6kqdW1UN2r6yq2yV5xfjxjxbuUFU/XFWHVtUhG9cmrEx3X57kvUm2JXnOos0vS3KHJG/u7u/sXjmez4cuqvPtJG8ex5+2qM5zx/rv8Ysh8zSr8x22ilme81V1UoZfCP9Hkkf6fs5mM6vzvaoOqaq7LXWMqnpWkp9K8o9J/nZ23cPqzfDn+Od19zMXv5K8aRzyrnHd69fti+EWVXfPuweYvPE+NedmuO/fnya5MsOTix44rv+lXvCPsaqOyvBXlw9291GLaj0zyZHjx/tl+OvLp/KDv5pc2t071ucrgUFV3TfJhUnumuSdSf4hw5PnHp1h2v8jxnvV7B7fSTLesHphnYPHOg/IMAv240kelOSJGe7r9IjxhxKYmxme70dmeEpjktwxyZMznOfv3j2mu09er68DVmoW53xVPTrJ+zJMLjg7Q9Cx2FXdfeb6fBWwMjM6349P8vYkH0lyWZKvJjk4ycOS/LMk307yL7r7g+v/FcEtm9XPNcvUPjlD4PfK7v7dmTfPign7YINU1c8keWmShye5XYYfBM5O8rruvmnR2KOyfNh3TpKTbuFQN9sH1kNV3TPJ72e4RP3gJF9O8v8neVl3f3PR2GV/SKiqg5KcmuFeNj+S5BsZwo9/091fWMcvAVZsFuf7gh+Al7WSH6RhI6z1nF/J+Z7kiu7eNruuYe/M4Hw/JMnzkvxshhlTB2X4I//nkvy3JK/t7qUCb5iLWf0cv0TdkyPs2xSEfQAAAAAwEe7ZBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAATIewDAAAAgIkQ9gEAAADARAj7AAAAAGAihH0AAAAAMBHCPgAAAACYCGEfAAAAAEyEsA8AAAAAJkLYBwAAAAAT8b8ApkjWqX3s3JYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 683,
       "width": 637
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "survey_fields.sort()\n",
    "correlations[\"sat_score\"][survey_fields].plot.barh(figsize=(10,12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Key:** \n",
    "* The first three letters indicate the question asked: \n",
    "  * aca: Academic expections\n",
    "  * com: Communications\n",
    "  * eng: Engagement\n",
    "  * saf: Safety\n",
    "  * r: Response rate\n",
    "  * N: Total number of respondants\n",
    "* The next letters are the different categores of respondants.\n",
    "  * p: parents\n",
    "  * t: teachers\n",
    "  * s: students\n",
    "  * tot: Total of all the above categories\n",
    "* The trailing number, where present, indicates the position of the question on the survey.\n",
    "\n",
    "**Observations:**\n",
    "\n",
    "* The strongest correlations are for the number of parents and students responding the the survey. This is largely determined by school size, which, we've already noted, has a positive correlation with SAT scores.\n",
    "\n",
    "* Among the survey questions, parent, student and teacher ratings of school safety show the strongest correlation with SAT scores. \n",
    "\n",
    "* Student reports of engagement correlate weakly with higher SAT scores, but much more strongly than teacher or parent perceptions.\n",
    "\n",
    "* Student reports of academic expectations correlates with higher SAT scores, more so than teacher perceptions, and much more than parental perceptions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Exploring Safety Scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "As noted above, student and teacher perceptions of safety have a positive relationship with SAT scores. This seems like an important relationship, and further, safety is also important on its own. I investigate this in more detail below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='saf_s_11', ylabel='sat_score'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 316,
       "width": 451
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='saf_s_11', y='sat_score', figsize=(7,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "While a correlation analysis identifies a relationship between SAT scores and safety scores, the relationship is only really evident above `saf_s_11` scores of ~6.5."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "### Safety Scores by District"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "district_averages = combined.groupby('school_dist').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 452,
       "width": 454
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,8))\n",
    "m = Basemap(\n",
    "    projection='merc', \n",
    "    llcrnrlat=40.496044, \n",
    "    urcrnrlat=40.915256, \n",
    "    llcrnrlon=-74.255735, \n",
    "    urcrnrlon=-73.700272,\n",
    "    resolution='h',\n",
    ")\n",
    "\n",
    "m.drawmapboundary()\n",
    "m.drawcoastlines(color='#6D5F47', linewidth=.4)\n",
    "m.drawrivers(color='#6D5F47', linewidth=.4)\n",
    "\n",
    "lat = district_averages['lat'].tolist()\n",
    "lon = district_averages['lon'].tolist()\n",
    "\n",
    "m.scatter(lon, lat, s=50, zorder=2, latlon=True, c=district_averages['saf_s_11'], cmap='summer')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "min: 5.875\n",
      "mean: 6.5847557596483375\n",
      "max: 7.12\n",
      "stdev: 0.35805290816706803\n"
     ]
    }
   ],
   "source": [
    "print(\"min:\", district_averages['saf_s_11'].min())\n",
    "print(\"mean:\", district_averages['saf_s_11'].mean())\n",
    "print(\"max:\", district_averages['saf_s_11'].max())\n",
    "print(\"stdev:\", district_averages['saf_s_11'].std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>saf_s_11</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boro</th>\n",
       "      <th>school_dist</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Bronx</th>\n",
       "      <th>07</th>\n",
       "      <td>6.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08</th>\n",
       "      <td>6.364697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09</th>\n",
       "      <td>6.655000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6.577273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>6.186667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7.116667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">Brooklyn</th>\n",
       "      <th>13</th>\n",
       "      <td>6.407692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6.685714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>6.177778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>6.007143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6.190909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6.390909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>7.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6.233333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>6.766667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Manhattan</th>\n",
       "      <th>01</th>\n",
       "      <td>6.768611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02</th>\n",
       "      <td>6.910660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03</th>\n",
       "      <td>6.716667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04</th>\n",
       "      <td>6.885714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05</th>\n",
       "      <td>6.314286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06</th>\n",
       "      <td>6.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Queens</th>\n",
       "      <th>24</th>\n",
       "      <td>7.107692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6.912500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6.760000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>6.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>6.627273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>6.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>7.033333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <th>31</th>\n",
       "      <td>6.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <th></th>\n",
       "      <td>6.611667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           saf_s_11\n",
       "boro          school_dist          \n",
       "Bronx         07           6.800000\n",
       "              08           6.364697\n",
       "              09           6.655000\n",
       "              10           6.577273\n",
       "              11           6.186667\n",
       "              12           7.116667\n",
       "Brooklyn      13           6.407692\n",
       "              14           6.685714\n",
       "              15           6.177778\n",
       "              16           5.875000\n",
       "              17           6.007143\n",
       "              18           6.190909\n",
       "              19           6.150000\n",
       "              20           7.120000\n",
       "              21           6.390909\n",
       "              22           7.025000\n",
       "              23           6.233333\n",
       "              32           6.766667\n",
       "Manhattan     01           6.768611\n",
       "              02           6.910660\n",
       "              03           6.716667\n",
       "              04           6.885714\n",
       "              05           6.314286\n",
       "              06           6.950000\n",
       "Queens        24           7.107692\n",
       "              25           6.912500\n",
       "              26           6.760000\n",
       "              27           6.390000\n",
       "              28           6.627273\n",
       "              29           6.075000\n",
       "              30           7.033333\n",
       "Staten Island 31           6.530000\n",
       "All                        6.611667"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.pivot_table(index=['boro', 'school_dist'], values='saf_s_11', margins='All')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "* Across all districts, `saf_s_11` scores, range from a low of 5.87 for district 16 in Brooklyn, to a high of 7.12 for district 20, which is also in Brooklyn.\n",
    "* Queens and the Bronx also repeat this pattern of having districts near both the bottom and top of the range.\n",
    "* Staten Island's only district's `saf_s_11` score is a bit below the citywide mean. \n",
    "* Manhattan's districts have a narrower distribution with scores falling within approximately one standard deviation of the citywide mean."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Differences in Survey Responses Between Teachers, Students and Parents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The survey scores show some differences between the different groups (parents, students, teachers) taking the survey. Here I investigate those differences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'Safety'),\n",
       " Text(0, 1, 'Engagement'),\n",
       " Text(0, 2, 'Communication'),\n",
       " Text(0, 3, 'Academic Expectations')]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 654
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "survey_data = combined[['DBN'] + survey_fields]\n",
    "survey_data = survey_data.melt(id_vars='DBN')\n",
    "#There has to be a better way?\n",
    "survey_data[['question','respondant']] = pd.DataFrame(survey_data['variable'].str.split(\"_\").to_list()).iloc[:,0:2]\n",
    "survey_data = survey_data.drop('variable', axis=1)\n",
    "survey_data = survey_data[survey_data['question'] != 'N']\n",
    "survey_data = survey_data[survey_data['question'] != 'rr']\n",
    "survey_data = survey_data[survey_data['respondant'] != 'tot']\n",
    "survey_data['respondant'] = survey_data['respondant'].map({\"p\": \"Parent\", \"s\": \"Student\", \"t\": \"Teacher\"})\n",
    "survey_data = survey_data.reset_index(drop=True)\n",
    "#Finally!\n",
    "ax = survey_data.pivot_table(index='question', columns='respondant', values='value').plot.barh(figsize=(9,4))\n",
    "ax.set_yticklabels([\"Safety\", \"Engagement\", \"Communication\", \"Academic Expectations\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "We can see, in the chart above, that parents, students, and teachers have similar perceptions of safety, engagement, academic expections and communications. Students rate things slighly lower than teachers do, while parents rate them slightly higher. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Racial Differences in SAT Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GnnvAuue13fr24XvW3Xu3/NCZueKAY+66W15S/da+bb96OgWttS47aP1uROmgkSkAALhRuBDC0Z8csv6Pd8vbHXbgzLxT9YvVPavfaLt97s/ant+pekx1iz2H3H63fNVp1njftsD17CMMRnXAua+13jwzf169657Vd9otv+gk7d36gHV/fMA6AAC44FwI4ejdDln/7rvltddz7MPbgtGVa60v2LthZt6jLRzt9brd8r06Pf+4enT1mJm52Vrrm07z+MO8W/V/966YmYuqv9s2ScQJJ74GH7rW+vXT7OOgWw4BAOCCcyE8c3TpzNzmgPWX75Yvvp5j33+3/JkDtt3vgHW/3RaQPmRm3vNUC9wd8zHV/6i+cWa+7TSOvT4H1fjR1c17+/N+4W55nyPqFwAALjgXQji6XfV2IzEzc/fqc9tGTH72eo69Zre8fN/x71t96/6dd1N6f091q7aZ8G6x77h3npm/d1BHu+eiHlI9u/rqmXni9dR1qr5xNxPdif5vWf2b3V9/aM9+P9QW0B4zM/fc38jM3GxmLj+CegAA4Lx1IdxW98vVP5mZe7VNeHDiPUc3q774JNN4n3jfz1fNzAe3jbbcuW0q7Kfv/rzfN1f3qj6h+j8z8/PVX1R/v/rY6qurKw/qbK31VzPz8W3Tef/zXZj5kkNmyzsVL61+c2b2vufo/Xa1/8iefl89M5/WFhRfODPPrn6z7Za5v982YcOd2t7xBAAAN0kXwsjRK6qPrF5bfUn1GdXVbS9Yvd4XwK613lA9oO1Frh9Y/fPqQ6rHtr0n6KBj/rptBOjL2yZEeMTuz/dsCx/PO0mfb2ybGe9nq/+n+qGZuaHX4TOqJ7UFtS9ru55XVJ+6P3CttZ7ddm7f0/bC2i9pexbqg9ompfisG1gDAABcEOaGD1pwXGbmOdX91lpzsn1vLGbmqksvvfTSq6467B2xnCsXP/rpx10CnNQ1j3vYcZcAwHnqsssu6+qrr776sFfMXJ8LYeQIAADgjAlHAAAAXRgTMpz3ZuZRve0Fs9fnOWut55zVYgAA4CZKOLpxeFT1Pqe473PWWpefvVIAAOCmSTi6EVhrXXzcNQAAwE2dZ44AAAASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKCqi467AODcuuZxDzvuEgAAbpSMHAEAACQcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEBVFx13AQCw38WPfvpxlwBwwbjmcQ877hLOG0aOAAAAEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4ejtzMwjZ2bNzCOPuxYAAODcEo4AAACqi467gBuZn61eWP3RcRcCAACcW8LRHmuta6trj7sOAADg3Dtvb6vbPR/00zPz8pm5bmZePzPPn5nPO2Df952Z75+Z39vt+5qZ+d8z830zc6d9bb7DM0czc//d8b+16+e6mfmNmXnMzNzygP6u2LVz+cx82sz86sz81a7fn5iZ9zqD875y1/b7zsxXzcxvz8wbZ+YPZubxM3PbQ45775n57t3X600z8+qZ+bmZucdJ6v+cmfmfM/OXM3PNDa0bAABu7M7nkaPvrX6z+uW22+DuVD20+pGZ+QdrrW+smpn3qP5XddvqGdVPV7es7lJ9fvXd1atP0tfXVnerXlA9fXf8R1VXVJfPzIPWWm854LgvrT6x+rnqudW9qs+sPnRmPmyt9aYbdOabx1f3rX6yelr14OpR1X1m5qPXWm88sePMXFo9q7pj9d+qn6n+bvVJ1fNm5pPXWs84oI9/UX1M9V+qX6pudwb1AgDAjdr5HI4+aK31sr0rZuadq2dWj56Z71trvar6tLZQ8Ki11hP37f8u1VtPoa8vrV6x1lr7jn9s9Q27Pp5ywHEPqe6x1vrfe455cvXZ1cPbgs0N9VHVh621fn/X7tdV/7n6lOqrq8fu1l+06+fW1f3XWs/dU8t7tgXH/zgzFx8Q1h5Q3Xut9eJTLWpmrjpk091OtQ0AADgO5+1tdfuD0W7dX1f/vi30PXDf5usO2P8Na613WH/Afi/fH4x2Hr9bPviQQ79rbzDa+YHd8p4n6/cknngiGO1qfGtbKHpr9YV79ntY9X7Vv9sbjHbH/GH1bdW7945fr6rvP51gBAAA57PzduRoZu7cdrvbA6s7V7fat8uJ53p+rvr/qn8/Mw9uu63s+dVvHRJ4DurrXaqvqD65umt1m2oO6Gu/Fx2w7pW75R1Ope/r8dz9K9ZaL5+ZV1YXz8zt11qvq+692/w+M3PFAe18wG55Sdtth3v96ukWtda67KD1uxGlS0+3PQAAOFfOy3A0M+/b9g/3O1T/o+15mmurt1QXV4+oblG11vr9mbln2/NBD2m77azqlTPzHWut7zpJX+9U/WLbSM9vtN0+92fV3+x2ecyJvg7wugPWvXm3vPn19XsK/uSQ9X9cvU/b80Gva3sWq+rTT9LerQ9pCwAAbhLOy3BUfVXbP/q/YK115d4NM/PZbeHob621Xlp95u75mw+tHlR9efXEmXnDWus/Xk9fD28LRleutb5gX1/v0RaOjsO7Vb9zwPp33y2v3bd8+Frr506zj1MaWQMAgAvB+frM0fvvlj99wLb7HXbQWuvNa62r1lrf2jYpQm0ztp1KXz9zOn2dA+/Q925E7e9X1+xuqavtpbZV9zlHdQEAwHnpfA1H1+yWl+9duXum6J/sW3fZzBw0BfW77ZZ/dQP7et/qW09a6dnzFTPzPnvquVn17W3X9If27Pe06mXVP5uZhx7U0Mzce2b+ztksFgAAbuzO19vqvqf6guo/z8xPVX9YfVDbM0U/2fYuoRM+v/rimXleW0h4bdvsbZ9Qval6wkn6+i/V71VfNTMfXL24bQKIj29759Gdj+aUTtvzq5fMzFPabp17cNstg1e1zUBX1Vrrb2bmU9omonj6zLygeklbKPz71T2q963eo5MHRQAAuGCdl+ForfXrM3P/6lvapqq+qPq1tskWXtfbh6Mfb5sw4SOry9pmtXtV9RPVd661fuMkfb1hZh5QPa5t9Og+1cvb3iP0b/f1dS59ZdvseV/UNgnFq6snVt+09wWw9bdfrw9te1br49uC5VvbXp774rbnpv78nFUOAAA3QnOKs1lzIzEzV7ZNOHGXtdY1x1vNqZuZqy699NJLr7rqsHfEArzNxY9++nGXAHDBuOZxDzvuEs6pyy67rKuvvvrqw14xc33O12eOAAAAjpRwBAAA0Hn6zNGFZGYe2fbM0Mm8ZK311LNaDAAA3IQJR8fvkZ3a+5J+uHrqWuuRu2MAAIAjJBwds7XW5cddAwAA4JkjAACASjgCAACohCMAAIBKOAIAAKiEIwAAgEo4AgAAqIQjAACASjgCAACohCMAAIBKOAIAAKiEIwAAgEo4AgAAqIQjAACAqi467gIAYL9rHvew4y4BgJsgI0cAAAAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQ1UXHXQAA7Hfxo59+3CUAcIauedzDjruE02bkCAAAIOEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAqptgOJqZ58zMOs1j1sw85yyVBAAA3Ajc5MLRUZmZK3ah6fLjrgUAADhzFx13AeeJS6q/Ou4iAACAs0c4OgVrrd8+7hoAAICz67y6rW5mbj0zfz0zz9+3/lYz88bdbW6fv2/bP92t/8J96y+amX81M787M2+amVfOzLfOzDsf0O/bPXM0M9dUj9n99Zd229f+Z5lm5u/MzNfNzEtm5g0z85cz8ysz89ln8DW4eNfXlTNzt5l56sy8Ztf+82bmY6/n2M+emV+amdftvl4vnZlvmJlbHHbOM/PuM/ODM/OqmXnLzDzyhtYOAAA3ZufVyNFa6y9n5lere83MbdZaf7Hb9FHViX/gP7D6kT2HPXC3fPa+5p5c3ad6ZvX66qHV11TvWn3BSUp5QvVJ1f2qH66u2b/DzNy++sXqw6urqye1hdEHV0+emQ9ca33DSfq5PnepfqX639V/qN6j+szqmTPzOWutp+yr50lt5/UH1U9Xr6s+onps9cCZ+Zi11pv39XHH6oXVX1Y/U721+pMzqBkAAG60zqtwtPOLbWHovtXTd+seWL2lem5vC0PNzM2q+1cvX2v9/r523q/6wLXWa3b7fn31a9U/mpmvW2v98WEFrLWesAs/96uuXGs954DdntAWjL52rfVte2q6ZfXU6l/NzE+ttV5ySmf9ju5bfcda66v3tP3dbYHp+2bmmWut1+/WP7ItGP1s9blrrev2HHNF2yjYP6ueuK+PD24Lml94QHA60Mxcdcimu53K8QAAcFzOq9vqdk6MAD1wz7oHVle1jW6898zcdbf+w9pGP/aPGtUWWl5z4i9rrTdUP9b2Nbn7mRQ4M3eqPq960d5gtOvnjdXXVlN9zhl0c231r/e1/aK2c7h99cl7Nn1F9ea2kHNdb++x1aurzz2gj7+u/uWpBiMAADifnY8jR79SXdcuHM3M7apLq29rG1Vqt+3/VA/Y/f0Xe0cvOmDdK3fLO5xhjfeobl6t3cjMfu+0W15yBn1cvee2wr2eUz2ibdTqh2fm71QfWv159aiZOaitNx1SyzVrrT89naLWWpcdtH43onTp6bQFAADn0nkXjtZafz0zz6seNDN/r/rItiDy7LXWS2fmj9rC0ffulqsDwtFa63UHNH9ihOTmZ1jmnXbLe+w+h7n1GfRx2LM/J24HvN1ueYe2Uaq/19smkThVh95aCAAAF5rz8ba62sLOtIWfB1ZvrJ6/Z9v9dzOw3af6zdMd/TgC1+6Wj19rzfV87n8GfbzbIevffV8NJ5YvPkktBw0prQPWAQDABel8DUd7nzt6QPWC3bM8J7bdsfqn1bt08PNGR+Etu+VBo0y/2jaz233OUt9Vl87MbQ5Yf/lu+eLaZvirfrP6wJm541msBwAAzmvnazi6um1E5OHVB/b2AejELXRft+/vR+3Vu+Wd92/YjVT9WHX3mfnGmXmHADUz7zczdzmD/m9XfdO+Nu/eNrHCtW0z053wb6t3rp60m2Vvfy13mBnPAwEAcJN23j1zVLXWesvupawP36169p5tvz8zL2ubqvvE9N5nwy+1jQ79m5n5oOq1u/6/Zbf9y6oPaJtR7vN3z0n9SfWebZMf3KP67OoVN7D/X67+yczcq+2WwhPvObpZ9cUnpvHe1fSkmbms+tLqZTPz36r/2zbCdpe2acF/qPqSG1gLAACc987XkaN6WyB6fe8489yJbVetta7tLFhrvbRtVrg/bgsdj919Tmx/fdt7kL68baa4T62+qu29S39RfWX138+ghFe0TUbx2rZQ8xltI2oP3f8C2F09/6z6hLbZ/h60q+UT20agvr3tvUwAAHCTdV6OHFWttf5d9e8O2fbF1Rcfsu3y62nzyurKA9YfOP/1WutHqx+9nvb+uvru3efI7QLaw0+649v2//nq509x3wPPGQAALlTn88gRAADAkRGOAAAAOo9vq7tQzMzF1SNPcfcnnLVCAADgJk44On4XV485xX2vXGtd0/YCXAAA4AgJR8dsrfWchB0AADh2njkCAABIOAIAAKiEIwAAgEo4AgAAqIQjAACASjgCAACohCMAAIBKOAIAAKiEIwAAgEo4AgAAqIQjAACASjgCAACohCMAAICqLjruAgBgv2se97DjLgGAmyAjRwAAAAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAlXAEAABQCUcAAACVcAQAAFAJRwAAAJVwBAAAUAlHAAAAVc1a67hr4CZgZl59q1vd6o6XXHLJcZcCAMAF7KUvfWnXXXfda9ZadzrdY4UjzomZeUV12+qac9jt3XbL3z6HfXJuuLYXNtf3wub6Xrhc2wvb+XR9L65ev9a6y+keKBxxwZqZq6rWWpcddy0cLdf2wub6Xthc3wuXa3thu6lcX88cAQAAJBwBAABUwhEAAEAlHAEAAFTCEQAAQGW2OgAAgMrIEQAAQCUcAQAAVMIRAABAJRwBAABUwhEAAEAlHAEAAFTCEQAAQCUccQGZmY+cmWfMzGtm5rqZ+fWZedTM3PwM2/2GmVm7z4OOql5O3VFc25l5r5n58pl55sxcMzNvmplXz8x/n5lPOZv139TNzHvPzJNm5g93X/drZuYJM3OH02znjrvjTly/P9y1+95nq3ZO7kyv78y8y8x87sw8eWZ+e2beMDN/MTMvmpl/MTPvfLbPgcMd1ffvvjbvOzNv2f1/9VuOsl5O3VFe25m5dPc9/Ae7tv5kZp47M//obNR+NnkJLBeEmXl49dPVG6unVK+pPqH6B9VPrbU+/Qa2e2n1wupN1a2rj1lr/cKRFM0pOaprOzOPq762ekX13OqPq/epPqW6RfX4tdZXHfkJ3MTNzPtVL6jetXpa9dvVPav7V79TfdRa69Wn0M6ddu3ctfrF6n9Vd6seXv1pde+11svPxjlwuKO4vjPzkOqZbd/bv1T9XnWH6hOrd9+1/8C11hvP0mlwiKP6/t3X5m2qX6/+btv/V//ftdY3HGXdnNxRXtuZ+bLqidVrq6dXr6ruWH1Q9Qdrrc868hM4m9ZaPj7n9ae6bds/jt5U3X3P+lu2feOv6rNuQLu3rH6zen71n3btPOi4z/em9DnKa9sWgu53wPpLqmt3bV123Od8oX2q/7b72n75vvX/drf++06xnf+w2/87963/57v1//W4z/Wm+DmK61t9WPW51TvvW3+b6qpdO//iuM/1pvg5qu/ffcc+qS0I/6tdG99y3Od5U/wc4c/mj63eumvvNgdsf6fjPtfT/Rg54rw3M19Y/cfqP621HrFv2wOqZ1e/vNa632m2+/jqi6sPrb6+ekRGjs6ps3VtD+jn+6svqv7lWus7z6Qt3mb3m8nfq66p3m+t9dY9225T/VE11buutd5wPe3cui0kv7V6j7XWX+zZdrPq5W2jgO+3jB6dM0d1fU/Sx+dUP1b9/FrrE864aE7Z2bi+uzsBnlp9fnVR9UMZOTrnjvLazsyvVe9f3Xmd5ijijZVnjrgQPGC3/K8HbPvl6q+qj5yZW5xqg7t/eH9F9XVrrd898xK5gY782h7ib3bLN59hO7y9+++Wz9r7P9+qXcB5fvV3qo84STsfUd2qev7eYLRr58RvLPf2x7lxVNf3+vjePD5Hen1n5l2rH6ieutb60aMslNN2JNd2Zj6o+pDqWdVrZub+M/Mvd88KPnD3y6vzznlZNOzzD3bL/7N/w1rrzW3PmFxUve+pNDYzt6uurP5H9V1HUyI30JFe24PMzG2rT227jeBZN7QdDnTo9ds58YuHu56jdjha5+K6fOFuedAvSDi7jvr6/kDbvzu/5EyK4kgc1bW9x275p9Vz2p4H/fbqO6pfqF4yM+9/w8s8HsIRF4Lb7ZbXHrL9xPrbn2J7/67tQcIvWO47PW5HfW3fzsxM9YPVu1Xfu9Z66Q1ph0Md1fU7q/8dcIOd7e/PL6seUr2k7TkVzq0ju767W6Q/sfrStdafnHlpnKGjurbvulv+4+ri6mG7tu9a/Wj1wdXTz7cZJ4UjbhR200eu0/iclSH5mfnUtnuhv8azC0fjxnJtD/Gd1ae3jRKaqQ5uJGabXv8JbbNKfupa62+u/whurGbm4rZr+Z/XWj95vNVwxE7kiJu3TY70jLXW63ePI/yj6kVtQelTj6vAG+Ki4y4Adl7WNlXzqfrDPX8+8RuO2x204571r7u+BmfmjtX3tT3k/72nUQvX79iv7UFm5tuqr2x7dulha603nW4bnNRRXb+z9t8BZ+SsXJeZ+aTqJ9pu1bm/X1Qdm6O6vk+qrqu+9Ahq4mgc1bU9sf2P11q/snfDWmvNzNOqu7dNEf7jp1/m8RCOuFFYaz3wDA7/nbZvvru2Tfv6t2bmououbQ/znux/sHdue+/CA6u3bndcvYP/vlv/lWutJ5xBzTcZN5Jr+3Z2MxE+qu2dKh+/1vqrM6iRw/3ObnnYfesfsFsedt/7UbfD0Try6zIzn149uW3E6AEmxDlWR3V9L237x/afHfL/1a+fma+vnrbW+qTTLZIb5Kh/Nr/ukO2v3S1vdWpl3TgIR1wIfrHtHRkP6R1/M3HfthlXfvkURgZe3TZt9EHu2/bD4pltIxu/cYOr5XQc1bWt/vYZo+9u+w3mf68evta67ujKZZ9f2i0/dmZudsB0sR/VNuPgC0/SzgvbfvP8UTNzmwOm8v7Yff1xbhzV9T1xzOdWP9z2AkkjRsfvqK7vf2r7Wb3fB7T9HH9J2y+/XnymBXPKjvJn8xuqi2fmXQ6Y9vuDdstXHEHN585xv2jJx+dMP20vCv2zTuNFoW0/qO/WNi//qfRxZV4Ce15f27Z3NvzA7phnVLc87vO7KXw6zRcN7q7d3Q5ox0tgb4SfI7y+j6je0u6dVcd9Xj5He30PafuReQnseX9tqyfu9n98be9P3a3/4LZfav1N27uUjv2cT/XjJbBcEHb3qP9U27MtP9H29u1PbJuu8qeqz1h7/mOfmcvbfnPy3LXW5afQ/pV5CeyxOKprOzOPqa5o+2H9hOqvD+juJWutpx71OdyU7V42+IK2WY2eVr20ulfbezb+T/WRa8+LA2dmVa21Zl87d9q1c9e2EcVfrS6pHt72bMpHrrVedrbPh7d3FNd3Zu7fNu3vzdqeT3nlAV29brmV+Zw7qu/fQ9p+ZF4Ce2yO8GfzbavnVh9W/c+2dyS9W/UpbbfTPWqt9cSzfDpHym11XBDWWk+dmftVX982K8ot297+/FXVdy2/BThvHeG1vctueavq6w7Z54fb3t7OEVlrvWxm7l7967bbIx/a9vb1J1bfvNZ67fUdv6edV8/MvavHVJ9U3aftVtgfqr5prfUHZ6F8TuKIru/79LZZr77wkH1+v+2XGpxDR/X9y43PEf5sfv3M3Kft/6ufXn1Z2y8hn1d9x1rrvHt/oJEjAACAvOcIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoBKOAAAAKuEIAACgEo4AAAAq4QgAAKASjgAAACrhCAAAoKr/HwHA8Pyg0zxSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 419
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "race_columns = ['white_per', 'asian_per', 'black_per', 'hispanic_per']\n",
    "\n",
    "correlations['sat_score'][race_columns].plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There is a inverse relationship between percentage of Black or Hispanic students and a school's average SAT scores. There is a stronger positive relationship between percentage of White or Asian students and a school's SAT scores.\n",
    "\n",
    "*Keep in mind that we earlier found that a proxy for socioeconomic status, `frl_percent` (the percentage of students receiving subsidized school lunch) had a strong negative correlation with SAT scores.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 419
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlations['frl_percent'][race_columns].plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Above we see how `frl_percent`, the percentage of students receiving subsidized lunch, correlate with racial makup of schools. Racial diferences in socioeconomic status could help explain racial disparities in SAT scores. This could be the subject of a separate analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## SAT Performance by Hispanic Students"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Let's take a closer look at the percentage of hispanic students and school's average SAT scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='hispanic_per', ylabel='sat_score'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 262,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='hispanic_per', y='sat_score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "We can see that the schools with highest average SAT scores have low percentages of hispanic students. In addition, the schools with nearly 100% hispanic students have some of the lowest average SAT scores.\n",
    "\n",
    "However, schools with the lowest SAT scores have a wide range of percentages of hispanic students. Moreover, schools with average SAT scores also have a wide range of percentages of hispanic students."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Let's look at schools with >95% hispanic students and see what we can learn about them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>44</th>\n",
       "      <th>82</th>\n",
       "      <th>89</th>\n",
       "      <th>125</th>\n",
       "      <th>141</th>\n",
       "      <th>176</th>\n",
       "      <th>253</th>\n",
       "      <th>286</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DBN</th>\n",
       "      <td>02M542</td>\n",
       "      <td>06M348</td>\n",
       "      <td>06M552</td>\n",
       "      <td>09X365</td>\n",
       "      <td>10X342</td>\n",
       "      <td>12X388</td>\n",
       "      <td>19K583</td>\n",
       "      <td>24Q296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <td>MANHATTAN BRIDGES HIGH SCHOOL</td>\n",
       "      <td>WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL</td>\n",
       "      <td>GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND M...</td>\n",
       "      <td>ACADEMY FOR LANGUAGE AND TECHNOLOGY</td>\n",
       "      <td>INTERNATIONAL SCHOOL FOR LIBERAL ARTS</td>\n",
       "      <td>PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE</td>\n",
       "      <td>MULTICULTURAL HIGH SCHOOL</td>\n",
       "      <td>PAN AMERICAN INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <td>66</td>\n",
       "      <td>70</td>\n",
       "      <td>56</td>\n",
       "      <td>54</td>\n",
       "      <td>49</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <td>336</td>\n",
       "      <td>380</td>\n",
       "      <td>339</td>\n",
       "      <td>315</td>\n",
       "      <td>300</td>\n",
       "      <td>321</td>\n",
       "      <td>279</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <td>378</td>\n",
       "      <td>395</td>\n",
       "      <td>349</td>\n",
       "      <td>339</td>\n",
       "      <td>333</td>\n",
       "      <td>351</td>\n",
       "      <td>322</td>\n",
       "      <td>323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priority04</th>\n",
       "      <td>0</td>\n",
       "      <td>Then to District 6 students or residents</td>\n",
       "      <td>Then to New York City residents who have lived...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Location 1</th>\n",
       "      <td>525 West 50Th Street\\nNew York, NY 10019\\n(40....</td>\n",
       "      <td>511 West 182Nd Street\\nNew York, NY 10033\\n(40...</td>\n",
       "      <td>501 West 165Th\\nNew York, NY 10032\\n(40.838032...</td>\n",
       "      <td>1700 Macombs Road\\nBronx, NY 10453\\n(40.849102...</td>\n",
       "      <td>2780 Reservoir Avenue\\nBronx, NY 10468\\n(40.87...</td>\n",
       "      <td>1300 Boynton Avenue\\nBronx, NY 10472\\n(40.8313...</td>\n",
       "      <td>999 Jamaica Avenue\\nBrooklyn, NY 11208\\n(40.69...</td>\n",
       "      <td>45-10 94Th Street\\nElmhurst, NY 11373\\n(40.743...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>40.765</td>\n",
       "      <td>40.8489</td>\n",
       "      <td>40.838</td>\n",
       "      <td>40.8491</td>\n",
       "      <td>40.8704</td>\n",
       "      <td>40.8314</td>\n",
       "      <td>40.6911</td>\n",
       "      <td>40.7433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>-73.9925</td>\n",
       "      <td>-73.9308</td>\n",
       "      <td>-73.9384</td>\n",
       "      <td>-73.9161</td>\n",
       "      <td>-73.8982</td>\n",
       "      <td>-73.8788</td>\n",
       "      <td>-73.8684</td>\n",
       "      <td>-73.8706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_dist</th>\n",
       "      <td>02</td>\n",
       "      <td>06</td>\n",
       "      <td>06</td>\n",
       "      <td>09</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                               44   \\\n",
       "DBN                                                                         02M542   \n",
       "SCHOOL NAME                                          MANHATTAN BRIDGES HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                          66   \n",
       "SAT Critical Reading Avg. Score                                                336   \n",
       "SAT Math Avg. Score                                                            378   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       525 West 50Th Street\\nNew York, NY 10019\\n(40....   \n",
       "lat                                                                         40.765   \n",
       "lon                                                                       -73.9925   \n",
       "school_dist                                                                     02   \n",
       "\n",
       "                                                                               82   \\\n",
       "DBN                                                                         06M348   \n",
       "SCHOOL NAME                       WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL   \n",
       "Num of SAT Test Takers                                                          70   \n",
       "SAT Critical Reading Avg. Score                                                380   \n",
       "SAT Math Avg. Score                                                            395   \n",
       "...                                                                            ...   \n",
       "priority04                                Then to District 6 students or residents   \n",
       "Location 1                       511 West 182Nd Street\\nNew York, NY 10033\\n(40...   \n",
       "lat                                                                        40.8489   \n",
       "lon                                                                       -73.9308   \n",
       "school_dist                                                                     06   \n",
       "\n",
       "                                                                               89   \\\n",
       "DBN                                                                         06M552   \n",
       "SCHOOL NAME                      GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND M...   \n",
       "Num of SAT Test Takers                                                          56   \n",
       "SAT Critical Reading Avg. Score                                                339   \n",
       "SAT Math Avg. Score                                                            349   \n",
       "...                                                                            ...   \n",
       "priority04                       Then to New York City residents who have lived...   \n",
       "Location 1                       501 West 165Th\\nNew York, NY 10032\\n(40.838032...   \n",
       "lat                                                                         40.838   \n",
       "lon                                                                       -73.9384   \n",
       "school_dist                                                                     06   \n",
       "\n",
       "                                                                               125  \\\n",
       "DBN                                                                         09X365   \n",
       "SCHOOL NAME                                    ACADEMY FOR LANGUAGE AND TECHNOLOGY   \n",
       "Num of SAT Test Takers                                                          54   \n",
       "SAT Critical Reading Avg. Score                                                315   \n",
       "SAT Math Avg. Score                                                            339   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       1700 Macombs Road\\nBronx, NY 10453\\n(40.849102...   \n",
       "lat                                                                        40.8491   \n",
       "lon                                                                       -73.9161   \n",
       "school_dist                                                                     09   \n",
       "\n",
       "                                                                               141  \\\n",
       "DBN                                                                         10X342   \n",
       "SCHOOL NAME                                  INTERNATIONAL SCHOOL FOR LIBERAL ARTS   \n",
       "Num of SAT Test Takers                                                          49   \n",
       "SAT Critical Reading Avg. Score                                                300   \n",
       "SAT Math Avg. Score                                                            333   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       2780 Reservoir Avenue\\nBronx, NY 10468\\n(40.87...   \n",
       "lat                                                                        40.8704   \n",
       "lon                                                                       -73.8982   \n",
       "school_dist                                                                     10   \n",
       "\n",
       "                                                                               176  \\\n",
       "DBN                                                                         12X388   \n",
       "SCHOOL NAME                       PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE   \n",
       "Num of SAT Test Takers                                                          30   \n",
       "SAT Critical Reading Avg. Score                                                321   \n",
       "SAT Math Avg. Score                                                            351   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       1300 Boynton Avenue\\nBronx, NY 10472\\n(40.8313...   \n",
       "lat                                                                        40.8314   \n",
       "lon                                                                       -73.8788   \n",
       "school_dist                                                                     12   \n",
       "\n",
       "                                                                               253  \\\n",
       "DBN                                                                         19K583   \n",
       "SCHOOL NAME                                              MULTICULTURAL HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                          29   \n",
       "SAT Critical Reading Avg. Score                                                279   \n",
       "SAT Math Avg. Score                                                            322   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       999 Jamaica Avenue\\nBrooklyn, NY 11208\\n(40.69...   \n",
       "lat                                                                        40.6911   \n",
       "lon                                                                       -73.8684   \n",
       "school_dist                                                                     19   \n",
       "\n",
       "                                                                               286  \n",
       "DBN                                                                         24Q296  \n",
       "SCHOOL NAME                                 PAN AMERICAN INTERNATIONAL HIGH SCHOOL  \n",
       "Num of SAT Test Takers                                                          55  \n",
       "SAT Critical Reading Avg. Score                                                317  \n",
       "SAT Math Avg. Score                                                            323  \n",
       "...                                                                            ...  \n",
       "priority04                                                                       0  \n",
       "Location 1                       45-10 94Th Street\\nElmhurst, NY 11373\\n(40.743...  \n",
       "lat                                                                        40.7433  \n",
       "lon                                                                       -73.8706  \n",
       "school_dist                                                                     24  \n",
       "\n",
       "[147 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_hispanic = combined[combined['hispanic_per'] >95]\n",
    "high_hispanic.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "**Select details:**\n",
    "* MANHATTAN BRIDGES HIGH SCHOOL: Caters to recently arrived students from spanish-speaking countries. 46% english language learners, but all have spanish as native language. 100% minority. 83% low-SES. High college readyness and performance on state-mandated standardized tests. Good discipline/order.\n",
    "* WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL: 81% low-SES. 91%hispanic. 16% english language learners. Lots of experiential learning. 90% graduate in 4y. Average college prep performance.\n",
    "* GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND M...:  Focus on spanish speaking students new to the country (less than 2y) with at least 8y education in their native countries. 78% english language learners. Entering students are often poorly prepared academically -- Low 4y graduation rate. 80% 6-year graduation rate. 99% low SES. Below average college readyness.\n",
    "* ACADEMY FOR LANGUAGE AND TECHNOLOGY: Focus on new immigrants. Most students graduate on time. 100% latino. 2/3rds english language learners. Orderly and Safe. 100% low-SES. Good college readyness.\n",
    "* INTERNATIONAL SCHOOL FOR LIBERAL ARTS 100% hispanic. 71% learning english (admissions focused on those who use spanish as primary language at home). 75% graduate on time. Average safety. 98% low SES. Many students enter with poor academic preparation but overall, students make good progress.\n",
    "* PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE: Focus on new spanish-speaking immigrants. Above average safety and discipline. 84% graduate in 4 years. 99% low SES. 88% english language learners. 30% interrupted education. 40% unaccompanied minors.\n",
    "* MULTICULTURAL HIGH SCHOOL: Mix of In US less than 3y and longer residing bi-lingual students. 98% hispanic. 88% english language learners. 93% low-SES. Average order but above average bullying. Many students are older than average and have to help support their families. Problematic college prep.\t\n",
    "* PAN AMERICAN INTERNATIONAL HIGH SCHOOL: All students have been in US less than 4y and speak spanish. Most teachers speak english-only. Good safety. 85% graduate in 4y. Problematic college prep. 99% hispanic. 84% low-SES. 84% english language learners.\n",
    "\n",
    "More than 80% at all these schools (>90% in most) qualify for free or reduced-price lunch, indicating that most students are of low socio-economic status. Recall that we earlier found that the percentage of students receiving free or reduced price lunch had a strong negative correlation with SAT scores.\n",
    "\n",
    "Most have ~50% or more students who are english language learners."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Let's contrast this with schools with low percentages of hispanic students and high SAT scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>37</th>\n",
       "      <th>151</th>\n",
       "      <th>187</th>\n",
       "      <th>327</th>\n",
       "      <th>356</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DBN</th>\n",
       "      <td>02M475</td>\n",
       "      <td>10X445</td>\n",
       "      <td>13K430</td>\n",
       "      <td>28Q687</td>\n",
       "      <td>31R605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <td>STUYVESANT HIGH SCHOOL</td>\n",
       "      <td>BRONX HIGH SCHOOL OF SCIENCE</td>\n",
       "      <td>BROOKLYN TECHNICAL HIGH SCHOOL</td>\n",
       "      <td>QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...</td>\n",
       "      <td>STATEN ISLAND TECHNICAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <td>832</td>\n",
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       "      <td>1277</td>\n",
       "      <td>121</td>\n",
       "      <td>227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <td>679</td>\n",
       "      <td>632</td>\n",
       "      <td>587</td>\n",
       "      <td>612</td>\n",
       "      <td>635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <td>735</td>\n",
       "      <td>688</td>\n",
       "      <td>659</td>\n",
       "      <td>660</td>\n",
       "      <td>682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>priority04</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Location 1</th>\n",
       "      <td>345 Chambers Street\\nNew York, NY 10282\\n(40.7...</td>\n",
       "      <td>75 West 205 Street\\nBronx, NY 10468\\n(40.87705...</td>\n",
       "      <td>29 Ft Greene Place\\nBrooklyn, NY 11217\\n(40.68...</td>\n",
       "      <td>94-50 159 Street\\nJamaica, NY 11433\\n(40.70099...</td>\n",
       "      <td>485 Clawson Street\\nStaten Island, NY 10306\\n(...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>40.7177</td>\n",
       "      <td>40.8771</td>\n",
       "      <td>40.6881</td>\n",
       "      <td>40.701</td>\n",
       "      <td>40.5679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>-74.014</td>\n",
       "      <td>-73.8898</td>\n",
       "      <td>-73.9767</td>\n",
       "      <td>-73.7982</td>\n",
       "      <td>-74.1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_dist</th>\n",
       "      <td>02</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>28</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                               37   \\\n",
       "DBN                                                                         02M475   \n",
       "SCHOOL NAME                                                 STUYVESANT HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                         832   \n",
       "SAT Critical Reading Avg. Score                                                679   \n",
       "SAT Math Avg. Score                                                            735   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       345 Chambers Street\\nNew York, NY 10282\\n(40.7...   \n",
       "lat                                                                        40.7177   \n",
       "lon                                                                        -74.014   \n",
       "school_dist                                                                     02   \n",
       "\n",
       "                                                                               151  \\\n",
       "DBN                                                                         10X445   \n",
       "SCHOOL NAME                                           BRONX HIGH SCHOOL OF SCIENCE   \n",
       "Num of SAT Test Takers                                                         731   \n",
       "SAT Critical Reading Avg. Score                                                632   \n",
       "SAT Math Avg. Score                                                            688   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       75 West 205 Street\\nBronx, NY 10468\\n(40.87705...   \n",
       "lat                                                                        40.8771   \n",
       "lon                                                                       -73.8898   \n",
       "school_dist                                                                     10   \n",
       "\n",
       "                                                                               187  \\\n",
       "DBN                                                                         13K430   \n",
       "SCHOOL NAME                                         BROOKLYN TECHNICAL HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                        1277   \n",
       "SAT Critical Reading Avg. Score                                                587   \n",
       "SAT Math Avg. Score                                                            659   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       29 Ft Greene Place\\nBrooklyn, NY 11217\\n(40.68...   \n",
       "lat                                                                        40.6881   \n",
       "lon                                                                       -73.9767   \n",
       "school_dist                                                                     13   \n",
       "\n",
       "                                                                               327  \\\n",
       "DBN                                                                         28Q687   \n",
       "SCHOOL NAME                      QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...   \n",
       "Num of SAT Test Takers                                                         121   \n",
       "SAT Critical Reading Avg. Score                                                612   \n",
       "SAT Math Avg. Score                                                            660   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       94-50 159 Street\\nJamaica, NY 11433\\n(40.70099...   \n",
       "lat                                                                         40.701   \n",
       "lon                                                                       -73.7982   \n",
       "school_dist                                                                     28   \n",
       "\n",
       "                                                                               356  \n",
       "DBN                                                                         31R605  \n",
       "SCHOOL NAME                                    STATEN ISLAND TECHNICAL HIGH SCHOOL  \n",
       "Num of SAT Test Takers                                                         227  \n",
       "SAT Critical Reading Avg. Score                                                635  \n",
       "SAT Math Avg. Score                                                            682  \n",
       "...                                                                            ...  \n",
       "priority04                                                                       0  \n",
       "Location 1                       485 Clawson Street\\nStaten Island, NY 10306\\n(...  \n",
       "lat                                                                        40.5679  \n",
       "lon                                                                       -74.1154  \n",
       "school_dist                                                                     31  \n",
       "\n",
       "[147 rows x 5 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_hispanic = combined[(combined['hispanic_per'] <10) & (combined['sat_score']>1800)]\n",
    "low_hispanic.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The schools with the highest SAT scores and lowest proportions of hispanic students are majority asian, with one exception. They all have ~0% english language learners, and <=50% low-SES (using subsidized school lunch as the proxy). All have selective admissions based on test scores.\n",
    "\n",
    "Most or all have a focus on Science, Technology, Engineering and Math (STEM)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>Num of SAT Test Takers</th>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <td>605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <td>654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priority04</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Location 1</th>\n",
       "      <td>240 Convent Ave\\nNew York, NY 10031\\n(40.82112...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>40.8211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>-73.9488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_dist</th>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                79\n",
       "DBN                                                                         05M692\n",
       "SCHOOL NAME                      HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...\n",
       "Num of SAT Test Takers                                                         101\n",
       "SAT Critical Reading Avg. Score                                                605\n",
       "SAT Math Avg. Score                                                            654\n",
       "...                                                                            ...\n",
       "priority04                                                                       0\n",
       "Location 1                       240 Convent Ave\\nNew York, NY 10031\\n(40.82112...\n",
       "lat                                                                        40.8211\n",
       "lon                                                                       -73.9488\n",
       "school_dist                                                                     05\n",
       "\n",
       "[147 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[(combined['hispanic_per'] >20) & (combined['sat_score']>1800)].T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There is only one school with high average SAT scores and more than than 20% hispanic students, the High School for Mathematics, Science, and Engineering (HSMSE). It is a small (~100 students per cohort) STEM-focused school located in Manhattan and draws from students from all five bouroghs. Despite having a significant hispanic population, the school has 0% english language learners. This sets it apart from the predominantly hispanic schools we looked at earlier.\n",
    "\n",
    "HSMSE, like other selective, specialized high schools in the NYC Schools requires a foreign language for graduation.  It is somewhat unusual though in that it only offers two languages. All students must take German, unless they can demonstrate proficiency in Spanish, in which case they can elect to study advanced Spanish, instead. This may not explain the relatively high percentage of hispanic students though as all the other competitive high schools, save one, offer Spanish among their language options. Two, Brooklyn Latin and the High School of American Studies, require Spanish of all students. Queens HS of Sciences also offers Spanish in addition to only one other language (Mandarin)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## SAT Scores and English Language Learners."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "We saw earlier that the more english language learners a school has, the lower the average SAT scores tend to be. Let's look at that in a little more detail, along side some of the other variables we've been interested in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ell_percent', ylabel='sat_score'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 262,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='ell_percent', y='sat_score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The relationship between `sat_scores` and `ell_percent` is most clear at the extremes. Top schools (investigated earlier) have few if any english language learners while schools that predominantly have english language learners have below school average SAT scores, and some have the lowest school average SAT scores in the system. Between the two extremes the relationship is still visible.\n",
    "\n",
    "Interestingly schools tend to either have fewer than 30% of students learning english, or more than 70%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>sat_score</th>\n",
       "      <th>hispanic_per</th>\n",
       "      <th>frl_percent</th>\n",
       "      <th>ell_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>BARD HIGH SCHOOL EARLY COLLEGE</td>\n",
       "      <td>1856.0</td>\n",
       "      <td>18.2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ELEANOR ROOSEVELT HIGH SCHOOL</td>\n",
       "      <td>1758.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>STUYVESANT HIGH SCHOOL</td>\n",
       "      <td>2096.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>30.3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>BEACON HIGH SCHOOL</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>22.8</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC &amp; A...</td>\n",
       "      <td>1707.0</td>\n",
       "      <td>16.6</td>\n",
       "      <td>21.7</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...</td>\n",
       "      <td>1847.0</td>\n",
       "      <td>21.2</td>\n",
       "      <td>18.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>BRONX HIGH SCHOOL OF SCIENCE</td>\n",
       "      <td>1969.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>34.2</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>BROOKLYN TECHNICAL HIGH SCHOOL</td>\n",
       "      <td>1833.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>50.7</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>BROOKLYN LATIN SCHOOL, THE</td>\n",
       "      <td>1740.0</td>\n",
       "      <td>17.9</td>\n",
       "      <td>53.3</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>TOWNSEND HARRIS HIGH SCHOOL</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>12.9</td>\n",
       "      <td>29.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>25.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>STATEN ISLAND TECHNICAL HIGH SCHOOL</td>\n",
       "      <td>1953.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           SCHOOL NAME  sat_score  \\\n",
       "5                       BARD HIGH SCHOOL EARLY COLLEGE     1856.0   \n",
       "26                       ELEANOR ROOSEVELT HIGH SCHOOL     1758.0   \n",
       "37                              STUYVESANT HIGH SCHOOL     2096.0   \n",
       "60                                  BEACON HIGH SCHOOL     1744.0   \n",
       "61   FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC & A...     1707.0   \n",
       "79   HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...     1847.0   \n",
       "151                       BRONX HIGH SCHOOL OF SCIENCE     1969.0   \n",
       "155  HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE     1920.0   \n",
       "187                     BROOKLYN TECHNICAL HIGH SCHOOL     1833.0   \n",
       "198                         BROOKLYN LATIN SCHOOL, THE     1740.0   \n",
       "302                        TOWNSEND HARRIS HIGH SCHOOL     1910.0   \n",
       "327  QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...     1868.0   \n",
       "356                STATEN ISLAND TECHNICAL HIGH SCHOOL     1953.0   \n",
       "\n",
       "     hispanic_per  frl_percent  ell_percent  \n",
       "5            18.2         18.0          0.2  \n",
       "26           11.6         15.8          0.2  \n",
       "37            2.4         30.3          0.0  \n",
       "60           22.8         18.4          0.2  \n",
       "61           16.6         21.7          0.2  \n",
       "79           21.2         18.5          0.0  \n",
       "151           7.2         34.2          0.1  \n",
       "155          18.0         20.8          0.0  \n",
       "187           7.9         50.7          0.1  \n",
       "198          17.9         53.3          0.4  \n",
       "302          12.9         29.2          0.0  \n",
       "327           7.9         25.6          0.2  \n",
       "356           5.3         17.0          0.1  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[combined['sat_score'] > 1700][['SCHOOL NAME', 'sat_score', 'hispanic_per', 'frl_percent', 'ell_percent']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "The table above shows schools with the highest high average SAT scores. Their hispanic student populations range from 2.4% to 22.8%, and the proportion of students receiving subsidized lunch (a proxy for low socioeconomic status) range from 15.8% to 53.3%. However, none have more 0.5% of their student body learning english."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Gender differences in SAT Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 412
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlations[\"sat_score\"][['female_per', 'male_per']].plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "These corrlation values are very low; there is no correlation between the gender-balance in schools and their average SAT scores."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Nevertheless, we can take this opportunity to look at the few high schools with predominantly female (>60%) student bodies and high (>1700) school average SAT scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>61</th>\n",
       "      <th>302</th>\n",
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       "      <th>DBN</th>\n",
       "      <td>01M696</td>\n",
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       "      <td>03M479</td>\n",
       "      <td>03M485</td>\n",
       "      <td>25Q525</td>\n",
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       "    <tr>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <td>BARD HIGH SCHOOL EARLY COLLEGE</td>\n",
       "      <td>ELEANOR ROOSEVELT HIGH SCHOOL</td>\n",
       "      <td>BEACON HIGH SCHOOL</td>\n",
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       "      <td>TOWNSEND HARRIS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <td>130</td>\n",
       "      <td>127</td>\n",
       "      <td>261</td>\n",
       "      <td>531</td>\n",
       "      <td>278</td>\n",
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       "      <td>624</td>\n",
       "      <td>572</td>\n",
       "      <td>577</td>\n",
       "      <td>566</td>\n",
       "      <td>621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <td>604</td>\n",
       "      <td>594</td>\n",
       "      <td>575</td>\n",
       "      <td>564</td>\n",
       "      <td>651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Students must be residents of New York City at...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Location 1</th>\n",
       "      <td>525 East Houston Street\\nNew York, NY 10002\\n(...</td>\n",
       "      <td>411 East 76 Street\\nNew York, NY 10021\\n(40.77...</td>\n",
       "      <td>227-243 West 61St Street\\nNew York, NY 10023\\n...</td>\n",
       "      <td>100 Amsterdam Avenue\\nNew York, NY 10023\\n(40....</td>\n",
       "      <td>149-11 Melbourne Avenue\\nFlushing, NY 11367\\n(...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>40.719</td>\n",
       "      <td>40.7701</td>\n",
       "      <td>40.7722</td>\n",
       "      <td>40.7737</td>\n",
       "      <td>40.7344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>-73.9761</td>\n",
       "      <td>-73.9534</td>\n",
       "      <td>-73.9878</td>\n",
       "      <td>-73.9853</td>\n",
       "      <td>-73.8214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_dist</th>\n",
       "      <td>01</td>\n",
       "      <td>02</td>\n",
       "      <td>03</td>\n",
       "      <td>03</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 5 columns</p>\n",
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      "text/plain": [
       "                                                                               5    \\\n",
       "DBN                                                                         01M696   \n",
       "SCHOOL NAME                                         BARD HIGH SCHOOL EARLY COLLEGE   \n",
       "Num of SAT Test Takers                                                         130   \n",
       "SAT Critical Reading Avg. Score                                                624   \n",
       "SAT Math Avg. Score                                                            604   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       525 East Houston Street\\nNew York, NY 10002\\n(...   \n",
       "lat                                                                         40.719   \n",
       "lon                                                                       -73.9761   \n",
       "school_dist                                                                     01   \n",
       "\n",
       "                                                                               26   \\\n",
       "DBN                                                                         02M416   \n",
       "SCHOOL NAME                                          ELEANOR ROOSEVELT HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                         127   \n",
       "SAT Critical Reading Avg. Score                                                572   \n",
       "SAT Math Avg. Score                                                            594   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       411 East 76 Street\\nNew York, NY 10021\\n(40.77...   \n",
       "lat                                                                        40.7701   \n",
       "lon                                                                       -73.9534   \n",
       "school_dist                                                                     02   \n",
       "\n",
       "                                                                               60   \\\n",
       "DBN                                                                         03M479   \n",
       "SCHOOL NAME                                                     BEACON HIGH SCHOOL   \n",
       "Num of SAT Test Takers                                                         261   \n",
       "SAT Critical Reading Avg. Score                                                577   \n",
       "SAT Math Avg. Score                                                            575   \n",
       "...                                                                            ...   \n",
       "priority04                                                                       0   \n",
       "Location 1                       227-243 West 61St Street\\nNew York, NY 10023\\n...   \n",
       "lat                                                                        40.7722   \n",
       "lon                                                                       -73.9878   \n",
       "school_dist                                                                     03   \n",
       "\n",
       "                                                                               61   \\\n",
       "DBN                                                                         03M485   \n",
       "SCHOOL NAME                      FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC & A...   \n",
       "Num of SAT Test Takers                                                         531   \n",
       "SAT Critical Reading Avg. Score                                                566   \n",
       "SAT Math Avg. Score                                                            564   \n",
       "...                                                                            ...   \n",
       "priority04                       Students must be residents of New York City at...   \n",
       "Location 1                       100 Amsterdam Avenue\\nNew York, NY 10023\\n(40....   \n",
       "lat                                                                        40.7737   \n",
       "lon                                                                       -73.9853   \n",
       "school_dist                                                                     03   \n",
       "\n",
       "                                                                               302  \n",
       "DBN                                                                         25Q525  \n",
       "SCHOOL NAME                                            TOWNSEND HARRIS HIGH SCHOOL  \n",
       "Num of SAT Test Takers                                                         278  \n",
       "SAT Critical Reading Avg. Score                                                621  \n",
       "SAT Math Avg. Score                                                            651  \n",
       "...                                                                            ...  \n",
       "priority04                                                                       0  \n",
       "Location 1                       149-11 Melbourne Avenue\\nFlushing, NY 11367\\n(...  \n",
       "lat                                                                        40.7344  \n",
       "lon                                                                       -73.8214  \n",
       "school_dist                                                                     25  \n",
       "\n",
       "[147 rows x 5 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
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    }
   ],
   "source": [
    "combined[(combined['female_per'] >60) & (combined['sat_score']>1700)].T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "All of the above schools have selective admissions. Unlike the other selective schools with high SAT scores investigated earlier, these schools don't seem to have a scientific/technical focus. They are instead either a more balanced liberal arts cirriculum, arts or humanities. All have less than ~30% receiving free or reduced cost school lunch and ~0% English language learners.\n",
    "\n",
    "There is only one school where the ratios are reversed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>79</th>\n",
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       "      <td>05M692</td>\n",
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       "      <th>SAT Math Avg. Score</th>\n",
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       "      <th>school_dist</th>\n",
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       "                                                                                79\n",
       "DBN                                                                         05M692\n",
       "SCHOOL NAME                      HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...\n",
       "Num of SAT Test Takers                                                         101\n",
       "SAT Critical Reading Avg. Score                                                605\n",
       "SAT Math Avg. Score                                                            654\n",
       "...                                                                            ...\n",
       "priority04                                                                       0\n",
       "Location 1                       240 Convent Ave\\nNew York, NY 10031\\n(40.82112...\n",
       "lat                                                                        40.8211\n",
       "lon                                                                       -73.9488\n",
       "school_dist                                                                     05\n",
       "\n",
       "[147 rows x 1 columns]"
      ]
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     "metadata": {},
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   ],
   "source": [
    "combined[(combined['male_per'] >60) & (combined['sat_score']>1700)].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
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   "outputs": [
    {
     "data": {
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       "      <th>SCHOOL NAME</th>\n",
       "      <th>sat_score</th>\n",
       "      <th>male_per</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>STUYVESANT HIGH SCHOOL</td>\n",
       "      <td>2096.0</td>\n",
       "      <td>59.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...</td>\n",
       "      <td>1847.0</td>\n",
       "      <td>65.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BRONX HIGH SCHOOL OF SCIENCE</td>\n",
       "      <td>1969.0</td>\n",
       "      <td>57.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>53.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BROOKLYN TECHNICAL HIGH SCHOOL</td>\n",
       "      <td>1833.0</td>\n",
       "      <td>58.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>BROOKLYN LATIN SCHOOL, THE</td>\n",
       "      <td>1740.0</td>\n",
       "      <td>54.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>56.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>STATEN ISLAND TECHNICAL HIGH SCHOOL</td>\n",
       "      <td>1953.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         SCHOOL NAME  sat_score  male_per\n",
       "0                             STUYVESANT HIGH SCHOOL     2096.0      59.3\n",
       "1  HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGIN...     1847.0      65.8\n",
       "2                       BRONX HIGH SCHOOL OF SCIENCE     1969.0      57.8\n",
       "3  HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE     1920.0      53.8\n",
       "4                     BROOKLYN TECHNICAL HIGH SCHOOL     1833.0      58.3\n",
       "5                         BROOKLYN LATIN SCHOOL, THE     1740.0      54.9\n",
       "6  QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK CO...     1868.0      56.5\n",
       "7                STATEN ISLAND TECHNICAL HIGH SCHOOL     1953.0      57.0"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[((combined['male_per'] > 50)) & (combined['sat_score']>1700)][['SCHOOL NAME', 'sat_score','male_per']].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There are, however eight high-scoring schools with >50% male student bodies. All, save one, are STEM schools. They make up the bulk of NYC's nine specialized high schools, with admissions determined by scores on a standardized aptitude test."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Relationship between AP Tests and SAT performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "combined['ap_per'] = 100*combined['AP Test Takers '] / combined['total_enrollment']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>ap_per</th>\n",
       "      <th>sat_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ap_per</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.057171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sat_score</th>\n",
       "      <td>0.057171</td>\n",
       "      <td>1.000000</td>\n",
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      "text/plain": [
       "             ap_per  sat_score\n",
       "ap_per     1.000000   0.057171\n",
       "sat_score  0.057171   1.000000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
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    }
   ],
   "source": [
    "combined[['ap_per', 'sat_score']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ap_per', ylabel='sat_score'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='ap_per', y='sat_score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There isn't a correlation between the percentage of students taking AP exams and SAT test scores. This is unexpected since both seem to go hand-in-hand as part of college prep."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Relationship betwee Class size and SAT Perfomance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3810143308095523"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlations[\"sat_score\"]['AVERAGE CLASS SIZE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='AVERAGE CLASS SIZE', ylabel='sat_score'>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 395
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined.plot.scatter(x='AVERAGE CLASS SIZE', y='sat_score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "There is a relationship between a school's average class size and it's average SAT score.\n",
    "\n",
    "It's not clear why this would be the case. One hypothesis is that on average the most capable students need less attention from teachers, and so schools assign more of them to a classroom."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This analysis investigated factors that relate to average SAT performance at individual schools. The presence of these relationship should not be taken to imply a causal link. These relationships could exist because of coincidence, or because they stem from the same underlying cause, or because one is the cause of the other.  This analysis can't distinguish among those possibilities.\n",
    "\n",
    "We found:\n",
    "* There isn't clear evidence of gender bias in the SAT.\n",
    "* There is evidence that race and associated factors do relate to SAT scores. However, this relationship also seems to involve the relationship between race and low socioeconomic status. \n",
    "* SAT scores of hispanic students are also likely influenced by a high percentage immigrant English language learners, many of whom didn't receive adequate schooling in their home countries. This intersects with the fact that the SAT is only given in English."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Appendix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The source of the data used in this analysis is [NYC's data portal](https://data.cityofnewyork.us). The specific source datasets follow:\n",
    "\n",
    "* [2012 SAT ResultsEducation](https://data.cityofnewyork.us/Education/2012-SAT-Results/f9bf-2cp4)\n",
    "* [2010 - 2011 School Attendance and Enrollment Statistics by District](https://data.cityofnewyork.us/Education/2010-2011-School-Attendance-and-Enrollment-Statist/7z8d-msnt)\n",
    "* [2010-2011 Class Size - School-level detail](https://data.cityofnewyork.us/Education/2010-2011-Class-Size-School-level-detail/urz7-pzb3)\n",
    "* [2010 AP (College Board) School Level Results](https://data.cityofnewyork.us/Education/2010-AP-College-Board-School-Level-Results/itfs-ms3e)\n",
    "* [2005-2010 Graduation Outcomes - School Level](https://data.cityofnewyork.us/Education/2005-2010-Graduation-Outcomes-School-Level/vh2h-md7a)\n",
    "* [2006 - 2012 School Demographics and Accountability Snapshot](https://data.cityofnewyork.us/Education/2006-2012-School-Demographics-and-Accountability-S/ihfw-zy9j)\n",
    "* [2011 NYC School Survey](https://data.cityofnewyork.us/Education/2011-NYC-School-Survey/mnz3-dyi8)\n",
    "* [2014 - 2015 DOE High School Directory](https://data.cityofnewyork.us/Education/2014-2015-DOE-High-School-Directory/n3p6-zve2)\n"
   ]
  }
 ],
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