GiantGatesAutoBalancerResults.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bbbbfbb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f4039c4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def take_and_clean(filename, keyword, print_info=False):\n",
    "    raw = pd.read_json(f'./data/giantsGates/{filename}.json')\n",
    "    ranks = raw[['creatorName', 'totalScore']]\n",
    "    ranks = ranks[ranks['creatorName'].str.contains(keyword)]\n",
    "    ranks = ranks[ranks['creatorName'].str.contains('GG')]\n",
    "    if print_info:\n",
    "        ranks.info()\n",
    "    return ranks\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "601b65eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "NAMES = ['MUN', 'THR', 'OGR', 'SHM', 'BRW', 'WRL']\n",
    "\n",
    "def collect_scores(ranks, col_names=NAMES):\n",
    "    by_units = []\n",
    "    for name in col_names:\n",
    "        units = ranks[ranks['creatorName'].str.contains(name)]['totalScore'] * 100\n",
    "        units.reset_index(drop=True, inplace=True)\n",
    "        by_units.append(units)\n",
    "\n",
    "    unit_scores = pd.concat(by_units,\n",
    "        ignore_index=True, axis=1)\n",
    "    unit_scores.columns = col_names\n",
    "    return unit_scores\n",
    "\n",
    "\n",
    "def print_score_data(unit_scores):\n",
    "    result = []\n",
    "    for name in unit_scores.columns:\n",
    "        units = unit_scores[name]\n",
    "        result.append([name, units.mean(), units.median()])\n",
    "\n",
    "    result.sort(key=lambda x: x[1], reverse=True)\n",
    "    print('NAME -- MEAN   --   MED')\n",
    "    for line in result:\n",
    "        print(f'{line[0]} -- {line[1]: <7.2f} -- {line[2]:.2f}')\n",
    "\n",
    "def boxplot_score(unit_scores, vert_size=6):\n",
    "    sns.set_theme(style=\"whitegrid\")\n",
    "    plt.figure(figsize=(16, vert_size))\n",
    "    sns.boxplot(data=unit_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3e61fa6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "WRL -- 2494.59 -- 2480.29\n",
      "SHM -- 1364.82 -- 1203.23\n",
      "THR -- 793.56  -- 789.42\n",
      "BRW -- 567.39  -- 620.46\n",
      "MUN -- 374.26  -- 516.49\n",
      "OGR -- 10.07   -- -37.20\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.23\n",
    "# team by 3\n",
    "# C point without assault\n",
    "front_team3_v0 = take_and_clean('rankingsC', '-C-', False)\n",
    "front_team3_v0_scores = collect_scores(front_team3_v0)\n",
    "print_score_data(front_team3_v0_scores)\n",
    "boxplot_score(front_team3_v0_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cb4ea139",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 216 entries, 56 to 273\n",
      "Data columns (total 2 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   creatorName  216 non-null    object \n",
      " 1   totalScore   216 non-null    float64\n",
      "dtypes: float64(1), object(1)\n",
      "memory usage: 5.1+ KB\n",
      "NAME -- MEAN   --   MED\n",
      "WRL -- 2167.11 -- 2182.07\n",
      "SHM -- 1300.05 -- 1322.52\n",
      "BRW -- 1281.19 -- 1365.39\n",
      "THR -- 796.32  -- 1159.64\n",
      "OGR -- 608.93  -- 1174.93\n",
      "MUN -- 228.45  -- 777.71\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.23.a\n",
    "# team by 3\n",
    "# ALT point with assault\n",
    "front_team3_v0 = take_and_clean('rankingsV23A', 'V23A', True)\n",
    "front_team3_v0_scores = collect_scores(front_team3_v0)\n",
    "print_score_data(front_team3_v0_scores)\n",
    "boxplot_score(front_team3_v0_scores, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4c5f0f99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 216 entries, 53 to 303\n",
      "Data columns (total 2 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   creatorName  216 non-null    object \n",
      " 1   totalScore   216 non-null    float64\n",
      "dtypes: float64(1), object(1)\n",
      "memory usage: 5.1+ KB\n",
      "NAME -- MEAN   --   MED\n",
      "SHM -- 1758.37 -- 1779.49\n",
      "BRW -- 1301.92 -- 1360.07\n",
      "WRL -- 1295.20 -- 1277.73\n",
      "OGR -- 1242.67 -- 1354.67\n",
      "THR -- 1219.35 -- 1448.76\n",
      "MUN -- 1050.17 -- 1239.13\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.23.h\n",
    "# team by 3\n",
    "# ALT point with assault\n",
    "# shaman maxHealth: 100 -> 105\n",
    "front_team = take_and_clean('rankings23H3', '23H3', True)\n",
    "front_team_scores = collect_scores(front_team)\n",
    "print_score_data(front_team_scores)\n",
    "boxplot_score(front_team_scores, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fa5b9d30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1296 entries, 0 to 1298\n",
      "Data columns (total 2 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   creatorName  1296 non-null   object \n",
      " 1   totalScore   1296 non-null   float64\n",
      "dtypes: float64(1), object(1)\n",
      "memory usage: 30.4+ KB\n",
      "NAME -- MEAN   --   MED\n",
      "SHM -- 2332.64 -- 2355.93\n",
      "OGR -- 2223.62 -- 2260.25\n",
      "THR -- 2217.23 -- 2268.75\n",
      "WRL -- 2216.58 -- 2230.28\n",
      "BRW -- 2144.06 -- 2206.29\n",
      "MUN -- 2115.64 -- 2171.93\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.23.j\n",
    "# team by 4\n",
    "# ALT point with assault\n",
    "# shaman maxHealth: 100 -> 105\n",
    "front_team = take_and_clean('rankings23J4', '23J4', True)\n",
    "front_team_scores = collect_scores(front_team)\n",
    "print_score_data(front_team_scores)\n",
    "boxplot_score(front_team_scores, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "52ae8102",
   "metadata": {},
   "outputs": [],
   "source": [
    "def collect_pairs_scores(ranks):\n",
    "    columns = []\n",
    "    result = []\n",
    "    for i, n1 in enumerate(NAMES):\n",
    "        for n2 in NAMES[i+1:]:\n",
    "            columns.append(f'{n1}-{n2}')\n",
    "            pairs = ranks[(ranks['creatorName'].str.contains(n1)) \n",
    "                  & (ranks['creatorName'].str.contains(n2))]['totalScore'] * 100\n",
    "            pairs.reset_index(drop=True, inplace=True)\n",
    "            result.append(pairs)\n",
    "\n",
    "    result_df = pd.concat(result,\n",
    "        ignore_index=True, axis=1)\n",
    "    result_df.columns = columns\n",
    "    return result_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fe6729a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 2399.89 -- 2424.95\n",
      "OGR-SHM -- 2377.88 -- 2379.55\n",
      "SHM-WRL -- 2323.73 -- 2332.62\n",
      "THR-WRL -- 2309.96 -- 2327.44\n",
      "MUN-SHM -- 2301.41 -- 2328.38\n",
      "OGR-WRL -- 2275.03 -- 2285.00\n",
      "THR-OGR -- 2239.98 -- 2275.03\n",
      "SHM-BRW -- 2230.64 -- 2258.88\n",
      "OGR-BRW -- 2207.42 -- 2248.39\n",
      "MUN-WRL -- 2172.09 -- 2177.47\n",
      "THR-BRW -- 2169.69 -- 2228.99\n",
      "MUN-OGR -- 2132.00 -- 2164.65\n",
      "BRW-WRL -- 2104.90 -- 2095.93\n",
      "MUN-THR -- 2098.01 -- 2160.86\n",
      "MUN-BRW -- 2093.91 -- 2159.17\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ladder_result = take_and_clean('rankings23J4', '23J4')\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 10)\n",
    "# pairs_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9d7dc1e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "SHM -- 2057.05 -- 2088.86\n",
      "WRL -- 1980.62 -- 2005.88\n",
      "THR -- 1968.97 -- 2037.09\n",
      "OGR -- 1963.92 -- 2020.65\n",
      "BRW -- 1949.76 -- 2032.16\n",
      "MUN -- 1841.28 -- 1917.33\n",
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 2128.95 -- 2147.29\n",
      "THR-WRL -- 2101.52 -- 2117.35\n",
      "OGR-SHM -- 2097.62 -- 2108.05\n",
      "SHM-WRL -- 2055.81 -- 2085.37\n",
      "OGR-WRL -- 2045.38 -- 2088.46\n",
      "OGR-BRW -- 2016.41 -- 2076.18\n",
      "SHM-BRW -- 2015.44 -- 2095.12\n",
      "MUN-SHM -- 2001.92 -- 2035.58\n",
      "THR-BRW -- 2001.77 -- 2101.65\n",
      "THR-OGR -- 1972.66 -- 2006.47\n",
      "MUN-WRL -- 1928.08 -- 1925.16\n",
      "MUN-BRW -- 1902.20 -- 1985.42\n",
      "BRW-WRL -- 1889.86 -- 1923.02\n",
      "MUN-OGR -- 1850.61 -- 1929.03\n",
      "MUN-THR -- 1826.73 -- 1891.06\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.24.б\n",
    "# team by 4\n",
    "# ALT point with assault\n",
    "# brawler\n",
    "# attackDamage 50 => 52\n",
    "# shaman\n",
    "# attackDamage 23 => 22\n",
    "ladder_result = take_and_clean('rankings24B4', '24B4')\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f6767357",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "PTOP- -- 2328.92 -- 2256.81\n",
      "FTOP- -- 2311.31 -- 2297.90\n",
      "PBOT- -- 2284.88 -- 2207.14\n",
      "FBOT- -- 2267.67 -- 2295.80\n",
      "FALTP- -- 1615.19 -- 1512.00\n",
      "PALTP- -- 1585.89 -- 1561.55\n",
      "FALT- -- 1339.26 -- 1325.94\n",
      "PALT- -- 1153.08 -- 1142.35\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PLACE_TACTICS = [\n",
    "    \"PTOP-\",\n",
    "    \"PBOT-\",\n",
    "    \"PALT-\",\n",
    "    \"PALTP-\",\n",
    "    \"FTOP-\",\n",
    "    \"FBOT-\",\n",
    "    \"FALT-\",\n",
    "    \"FALTP-\"]\n",
    "ladder_result = take_and_clean('rankings824NB', '824NB')\n",
    "place_scores = collect_scores(ladder_result, PLACE_TACTICS)\n",
    "print_score_data(place_scores)\n",
    "boxplot_score(place_scores, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9926d079",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "name_pairs = [f'{n1}-{n2}' for n1 in NAMES for n2 in NAMES]\n",
    "df = pd.DataFrame(columns=PLACE_TACTICS)\n",
    "for np in name_pairs:\n",
    "    line = {}\n",
    "    for pt in PLACE_TACTICS:\n",
    "        res = ladder_result[ladder_result['creatorName'].str.contains(np) &\n",
    "                            ladder_result['creatorName'].str.contains(pt)]\n",
    "        line[pt] = res.iloc[0, 1]\n",
    "    df.loc[np] = line\n",
    "\n",
    "plt.figure(figsize=(20, 10))\n",
    "# sns.color_palette('tab10')\n",
    "sns.heatmap(df.transpose())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eaf0e04c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "WRL -- 1596.39 -- 1575.58\n",
      "SHM -- 1530.06 -- 1547.19\n",
      "THR -- 1420.76 -- 1540.21\n",
      "BRW -- 1399.15 -- 1426.40\n",
      "OGR -- 1295.69 -- 1329.87\n",
      "MUN -- 1282.95 -- 1377.71\n",
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 1668.46 -- 1676.87\n",
      "THR-WRL -- 1647.87 -- 1626.41\n",
      "MUN-WRL -- 1630.51 -- 1649.04\n",
      "OGR-WRL -- 1568.00 -- 1536.17\n",
      "SHM-BRW -- 1546.14 -- 1544.60\n",
      "SHM-WRL -- 1533.24 -- 1529.08\n",
      "OGR-SHM -- 1521.57 -- 1519.30\n",
      "BRW-WRL -- 1501.88 -- 1472.79\n",
      "MUN-SHM -- 1454.13 -- 1513.19\n",
      "THR-BRW -- 1387.37 -- 1441.86\n",
      "OGR-BRW -- 1329.52 -- 1293.92\n",
      "MUN-BRW -- 1289.88 -- 1280.71\n",
      "MUN-THR -- 1284.33 -- 1520.75\n",
      "THR-OGR -- 1268.53 -- 1416.10\n",
      "MUN-OGR -- 1040.92 -- 1182.71\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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WAAAEQoOL2auuusrz//v27dPatWv10EMPKTY21jM/Li5OhYWFKioq8pofGxurwsJClZSUqFWrVoqIiPCaD8B68vPz9c2e3fpJuwA0Hl79z8HC3QFoXDpVHJBmQ0Z+fr52f/tPyd7K/41HuCRJu48V+L9tSXKcDky7AACg0RpczNb4/vvv9fTTT2vy5MkKDw/Xvn37PK+53W7ZbDa5XC7ZbLYL5tf8e67zp+sjNze3wfH7qrS0VJKUk5PTZN9pJCvla6VcpeDLt7S0VD9pJw0abnQkvtu+vjr+YPpbSsG1bGVvpfC064wOxWdVy3ezbC9i1apVOnLkSEDarmn3mWeeCUj7ktSxY0eNGjUqYO37ItiWbaBZKV8r5SpZK18r5SoFZ76NKmZzcnI0YcIETZ06VSkpKdqxY4eOHTvmef3YsWOKi4tThw4dvOYfP35ccXFxateunUpLS1VVVaXw8HDP+30VHx+v6OjoxqRSb0uWLJEk9evXr0m+z2hWytdKuUrBl++SJUt08qzRUTRc69atg+pvKQXXslWZeYevWbZ1W7JkiX44dEg2u93vbbv/vV/fV1bm97Ylye1wsGwNZKV8rZSrZK18rZSrZEy+5eXlFx24bHAxe+TIET377LN66623NGjQIEnS9ddfrx9++EEFBQW6/PLLtWrVKt17773q3LmzoqOjlZOTo379+mn58uVKSEhQZGSk+vfvrzVr1ig1NVXLli1TQkJCQ0MCAABNzGa3K3LUaKPD8FnlqhVGh4AgEcjr+qXgu7bf7PlyHwOcq8HF7O9+9zuVl5dr1qxZnnkPPPCAZs2apfHjx6u8vFxDhgzRiBEjJElz5szRtGnTdPr0aV177bV65JFHJEmvvPKKpkyZokWLFqljx4761a9+1ciUuNkIAADwL7MXABK/L+qSn5+vb7/dK7u9W0Daj4j4iSTp2LHKgLTvcPh2z4D8/Hx9t2evOrbtGpB4modV51t6pMLvbR85sd/vbcLcGlzMTps2TdOmTav1tRUrLjzaefXVV+vjjz++YH7nzp314YcfNjSMWuXn52vvN3vUtY3/7yTzE1v1nWQqDgXmRlX7T5r3VDwAAEJV9Y3M/qUwe4eAtO+OaCZJyj12MiDtuxxHA9JuqLDbu2n0qNp/1wa7Faum+/yZjm276unbXwpANIH1zsYZRoeAINPoG0AFq65t2mnabUlGh+Gz6ZuzjA4BAADUIszeQc1SHzE6jAYpW/mB0SEACDCzn0HSkLNHQraYBQAAAACrqD479V/q+pP2AWn/J6q+MV/FwRN+b3v/qYad9UoxC1PhemiEArMfOZVYlwEACEZdf9JeUweNMToMn722fXGDPkcxC1PJz8/Xv/bsVoc2vj+P+FKa2dySpJOHv/Z725J09KQ7IO3CfPLz8/X1t7sV6f+nmUiSqv7ds397bHdA2q90BKTZkMCBCgAIHvTJoY9iFqbToY1Njw8x36r73ian0SEgiETapcvS/H9QpikcX86BmbpU3yRoj2RvG5gviAiTJO0+diQw7TtOBKZdADBA9Wm336tr68sD0v5P3K0kSRUHfgxI+/tLDwak3VBivooAAIBgZm+riNTbjY6iQZwrNxodAgD4VdfWl+vF/s8bHUaDzNw51+gQgl6Y0QEAAAAAAOArilkAAAAAgOlQzAIAAAAATIdrZgEAAODF7HeB5Q6wgDVQzAJByuw/JCR+TKBaSUmJ5DitquWBeVRQQDlOqySixOgogCaXn5+v3G+/V7S9S0Dad0a0liR9f6zM722XOw74vU0AwYliFghS+fn5+nbP7kA/4UPHjgSmwOAJHwBgbtH2LuqaNtnoMHy2f/lso0MA0EQoZoEgZm8rjRpqzmeRrtrg27NIS0pKdKpY2r4+QAEF0KliqSSK0bu6xMTE6IDzlMLTrjM6FJ9VLd+tmJgYo8MAAAC1oJgFAAANUlJSIrfDocpVK4wOxWduh0MlEfwMAgAzoxcHEBRiYmJ0puKABg03OhLfbV8vRu8AAACaGMWsyXGTIACAUWJiYnTQ6VTkqNFGh+KzylUrOAgFACZHMWty+fn5+v6bXHVt0ywg7be2OSVJ5Yf2BqT9/Sf9fxdDAAAAAKGPYjYEdG3TTFMGX2l0GA0ya+sPRocAAAAsrKSkRA6HQytWTTc6lAZxOAoUEWGv9/tLSkp07MRxvbNxRgCjCowjJwrkbHaZ0WEgiIRkMVtSUqLjJ4s1fXOW0aH4rOBksS5rEWV0GEGrpKRERSfcem+T0+hQfHb0hFuu5tzxFgDMqKSkRC5HkcpWfmB0KA3ichxVSYTL6DCAJlVSUqLjpcc1c+dco0NpkILSg7qshOL9YkKymAUAAADqIyYmRk5nK40eNc3oUBpkxarpiomJrPf7Y2JiFFHWUk/f/lIAowqMdzbOUOsYBn3wHyFZzMbExKjl2QpNuy3J6FB8Nn1zlqK4IUWdYmJiFPbjQT0+xHyr7nubnGrDsgUAU4qJidEhZ5iapT5idCgNUrbyA8XEtDE6DKBJxcTEqOXpZnqx//NGh9IgM3fOVVRM83q/v6SkRMdPFem17YsDGFVgFJwq1GUlbp8/FxaAWAAAAAAACCjzDW8BABCkSkpKJMcJOVduNDqUhnGcUElEYO6ODwAIrJiYGLU8Y9PUQWOMDsVnr21frKiYtj5/jmIWAJpYSUmJKh3S8eW+n04TDCodUkkENzMDAADGopgFAMBPYmJidMBZpojU240OpUGcKzcqhmv7AQAmQTELAE0sJiZGhc4DuizNZnQoDXJ8uZuCBwAAGI4bQAEAAAAATIeRWQBA4DlOq2r5bv+3e7ai+t8WAXruoOO0FBuYpgEAQONQzAIAAqp79+4BazsvL0+S1CO2W2C+IDaw8QMAgIajmAUABNS4ceMC1nZGRoYk6Y033gjYdwBWVFJSonLHce1fPtvoUHxW7jigkojLjA4DQBOgmAWCVElJiRwnpFUbzPn4FscJKaIZj28BQp3b4VDlqhX+b/fsWUmSrUULv7ctVcetWM4hBwAzo5gFAAAN0jSnkAeo4IyN5RTyi4iJidFxZ3N1TZtsdCg+2798tmJimhkdBoAmQDELBKmYmBg5yw5o1FBzPr5l1QYe3wKEOk4hBwAYiWIWQNA4VSxtX+//dst/rP43urn/25aq41b7wLQNAACA2lHMAggKTXG64uXtewTmC9pzx1sAAICmRjFrciUlJTp+skyztv5gdCgNsv9kmS5rwU2CwOmKAADA//aXHtTMnXMD0vbJ8lOSpDbRPwlI+/tLD6qnrgpI26GCYhYAAACW5nAUaMWq6QFp++zZE5KkFi3aBqR9h6NAsbE9A9K22QX6rKlTeYclSbFdAnOtUU9dxZlfl0Axa3IxMTFqcdahKYOvNDqUBpm19QdFc5MgAABgkEAXC3l51aN3sQG6M3dsbE+fczhyYr/e2TgjIPGUlp2UJLVu1sbvbR85sV+tO9a/cA/kWV8SZ34FA4pZAAAAWJbVCp5AF+9F/y7eO3X0f/HeuqPvhTtCG8UsAABAPbgcR1W28oOAtO0+e1qSZGvRKiDtuxxHpVj/j5TBfKxWvFvN/lOFem374oC0fbK8up9qE+3/fmr/qUL1VFufP0cxCwAAcAmBPxX1uCSpR2znwHxBbBtGtIAQF/hrhB2SpNjLL/d72z3VtkHxN7qYPX36tB544AH95je/0eWXX65t27Zp5syZKi8vV3Jysl544QVJ0p49e/TSSy/pzJkz6t+/v1599VVFRETo8OHDysjIkMPh0JVXXqk5c+aoZcuWjQ0LIezoSbfe2+T0e7uny9ySpFbNbH5vW6qOu02ngDQNAAgwRrMABDsr9lONKmb/8Y9/aNq0adq3b58kqaysTFOnTtWHH36ojh076umnn9amTZs0ZMgQZWRkaPr06erbt6+mTp2qjz76SOnp6Xr11VeVnp6ulJQULViwQAsXLvT8oYDzBfKI0/F/P4u0c6fAPIu0TSeeRQoAAAD4S6OK2Y8++kivvPKKJk+eLEnavXu3unXrpi5dukiSUlNTtW7dOvXs2VNlZWXq27evJOmee+7R22+/rfvvv19ffPGFFixY4Jn/0EMPUcyiTjyLFEDQc5yQc+XGwLR9tqz63xbNAtO+44QU2zEwbQMA4GeNKmZnzPC+pXdRUZHXbcfj4uJUWFh4wfzY2FgVFhaqpKRErVq1UkREhNd8AADMKPDXVVafQdIjUAVnbEfOIAEAmIZfbwDlcrlks/3nekO32y2bzVbn/Jp/z3X+dH3k5uZ6TZeWlira51aCR2lpqXJycur93qgAxxNovuQb6DgkBUUs0n/iMTOWbe1Ytv6NQwqeZTtgwAANGDAgYO3/9re/lSQ98MADAfsOKTj+nsG2bAMt2PKtjifS6DAaLFj6KCn4lm2gWSlfK+UqBWe+fi1mO3TooGPHjnmmjx07pri4uAvmHz9+XHFxcWrXrp1KS0tVVVWl8PBwz/t9FR8fr+jo/5SvS5YsUcWps41LxkCtW7dWv3796vXeJUuWqPyUuUezfck3kJYsWSJJQRGLVB1P2Wmjo2gclm3tlixZIpUZHUXjsGyNYaV8rZSrFHz5LlmyREfLzNtRBUsfJQXfsg00K+VrpVwlY/ItLy+/YODyXGH+/LLrr79eP/zwgwoKClRVVaVVq1YpISFBnTt3VnR0tKeKX758uRISEhQZGan+/ftrzZo1kqRly5YpISHBnyEBAAAAAEKQX0dmo6OjNWvWLI0fP17l5eUaMmSIRowYIUmaM2eOpk2bptOnT+vaa6/VI488Ikl65ZVXNGXKFC1atEgdO3bUr371K3+GBAAAAAAIQX4pZrOzsz3/P2jQIK1YseKC91x99dX6+OOPL5jfuXNnffjhh/4IAwAAAH5S7jig/ctnB6Rt59lTkqSIFj/xe9vljgNS7FV+bxdA8PHryCwAAADML/B35j4kSeoR6/u9Ui4p9iruyg1YRMgWs/tPFmv65iy/t3uy/EdJUpvo5n5vW6qOu2fn9gFpG0DwqHRIx5e7A9J21b/vfxfeIiDNq9IhKfaSbwNgYoF8rrvEs90B+EdIFrOBPBp36t/P+IsNUMHZs3N7jibCw3FCWrUhMAXP2X/fpLJFs4A0L8cJKVCPwjS7pnsWaY/AfEFs4HMAAAC4lJAsZgN5NJEjiWgqTVXwxHYMTMET25GCpy6MeAAAADReSBazQCig4AEAAADq5tfnzAIAAAAA0BQoZgEAAAAApkMxCwAAAAAwHYpZAAAAAIDpUMwCAAAAAEyHYhYAAAAAYDo8micE7D9ZpllbfwhI2yfLnZKkNtGBWVX2nyzTVZ0D0jQAAACAEEYxa3Ldu3cPaPuleXmSpLjOPQLS/lWdA58DAAAAgNBDMWty48aNC2j7GRkZkqQ33ngjoN8DAAAAAL7gmlkAAAAAgOlQzAIAAAAATIdiFgAAAABgOhSzAAAAAADToZgFAAAAAJgOxSwAAAAAwHQoZgEAAAAApkMxCwAAAAAwHYpZAAAAAIDpUMwCAAAAAEyHYhYAAAAAYDoRRgcAAMC5Pv30U2VlZdXrvXl5eZKkjIyMereflJSkYcOGNSg2AAAQPChmAQCmFRMTY3QIAADAIBSzAICgMmzYMEZOQxSj7gAAf+KaWQCAae3du1d333238vPzjQ4FfhYTE8PIOwDgohiZBQCY1uzZs3X27FnNmjVL7777rtHh4BIYdQcA+BMjswAAU9q7d68KCgokSQUFBYzOAgBgMRSzAABTmj17ttf0rFmzDIoEAAAYgWIWAGBKNaOydU0DAIDQRjELADClbt26XXQaAACENm4ABcCUeMQHJk+erGeffdYzPWXKFAOjAWAVvux/JPZBZmK1ZRsK+VLMAgh5PN4jNPXs2VPdunVTQUGBunXrpu7duxsdEgBcgH1Q6LLasg3GfClmAZgSj/iAVD06m5GRwagsgCbD/id0WW3ZhkK+FLMAANPq2bOn/vKXvxgdBgAAMADFLAAAAIBaBfq6ymC6hhTmQzELAAAAwC+C8bpKhK6gKGZXrlypRYsWyel06tFHH9WYMWOMDgkAAACwvFC4rhKhy/BitrCwUG+99ZaWLl2qqKgoPfDAA7r55pvVs2dPo0MDAAAAAASpMKMD2LZtmwYOHKi2bduqRYsWGj58uNatW2d0WAAAAACAIGZ4MVtUVKTY2FjPdFxcnAoLCw2MCABgFg6HQ5MmTVJxcbHRoQAAgCZm+GnGLpdLNpvNM+12u72m6yM3N9ffYdWptLRUkpSTk9Nk32kkK+VrpVwl6+VrJVZatsuXL1dubq7mzp2rtLQ0o8MJOCstW6ux2rK1Wr4AAsPwYrZDhw7auXOnZ/rYsWOKi4vzqY34+HhFR0f7O7RaLVmyRJLUr1+/Jvk+o1kp3w8//FD79+/XlVdeqXbt2hkdTsBZadlajVWWrcPh0K5du+R2u7Vr1y49//zzIb/tWmXZWpHVlq3V8gXQMOXl5RcduDS8mL3llls0b948FRcXq3nz5srKytJ///d/Gx0WQoCvz0X7/vvv5XQ69dxzz6lz5871+gzPRgOMk5mZKZfLJan6LJ/Fixdr/PjxBkcFAACaiuHXzLZv314vvPCCHnnkEd11110aNWqUrrvuOqPDgsVUVlbK6XRKkoqLi1VZWWlwRAAuJTs727PdOp1OZWdnGxwRAABoSoaPzEpSamqqUlNTjQ4DIcaX56LNmzfPMzIbHh6uHj16MMIDBLnExEStW7dOTqdTERERSkxMNDokwMPXs4Py8vIkSRkZGfX+DGcHAbC6oChmAaPVNsJDMQsEt/T0dE+xEBYWpjFjxhgcke8oeFAjJibG6BAAwHQoZgExwgOYkd1uV1JSklavXq2kpKSQv/mTRMFjJr6cHQQAaBiKWUChMcIDWFF6eroKCgpMu81S8AAA0HCG3wAKCAY1Izw2m80yIzxAKLDb7ZozZw7bLAAAFsTILPBvZh/hAQAAAKyEYhb4t5oRHgAAAADBj9OMAQAAAACmw8gsAAAAGiXQj5niEVMAasPILICQ53A4NGnSJBUXFxsdCtAoVlqXrZSrFcXExPCoKcBkgrFfZmQWQMjLzMxUbm6uFi9erPHjxxsdDtBgVlqXrZRrKOAxU0DoC8Z+mZFZACHN4XAoKytLbrdbWVlZQXU0EfCFldZlK+UKAGYQrP0yI7NAiAj09UqSOa9ZyszMlMvlkiS5XK6gOpoI+MJK67KVcgUAMwjWfpmRWcCirHK9UnZ2tpxOpyTJ6XQqOzvb4IiAhrHSumylXAHADIK1X2ZkFvg3h8OhmTNnaurUqWrXrp3R4fiM65Vql5iYqHXr1snpdCoiIkKJiYlGhwQ0iJXWZSvlCgBmEKz9MiOzwL+de1E7Qkd6errCwqq7urCwMI0ZM8bgiICGsdK6bKVcAcAMgrVfppgFFLwXtaPx7Ha7kpKSZLPZlJSUZMpRd0Cy1rpspVwBwAyCtV+mmAVU+0XtCB3p6emKj48PmqOIQENZaV22Uq4AYAbB2C9TzAIK3ova4R92u11z5swJmqOIQENZaV22Uq4AYAbB2C9TzAKqvqg9IqL6fmjBdFE7AAAAgNpRzAIK3ovaAQAAANSOYhZQ8F7UDgAAAKB2FLPAvwXjRe0AcC6Hw6FJkyZxx3WYHusyAH+gmAX+LRgvageAc/E8bIQK1mUA/kAxCwCACfA8bIQK1mUA/hJhdAAAgIv79NNPlZWVVe/3f//99yovL9fzzz+vyMjIen0mKSlJw4YNa2iIaAK1PQ97/PjxBkcF+I51GYC/MDILACHI5XLp6NGjRocBP+J52AgVrMsA/IWRWQAIcsOGDav3qKnD4fDcxOzEiRNauHAh14GHiMTERK1bt05Op5PnYcPUEhMTtXr1arndbtlsNtZlAA3GyCwAhJDf//73crvdkiS3263f/e53BkcEf+F52AgVycnJXv1USkqKwREBMCuKWQAIIeefrsfpe6GD52EjVKxdu1Y2m02SZLPZtHr1aoMjAmBWFLO4qMrKSuXl5XGnQcAkam6qUtc0zI3nYSMUZGdne43MctANQENRzOKiCgsLdebMGZ4DBwBBgOdhIxQkJiYqIqL6ti1c/w2gMbgBlMX48oiPyspKz4js6tWrlZeXV6/HfPCIDwAAUJf09HTPbxGu/wbQGJYvZn19fmNeXp4kKSMjo96fMWtxV1hY6Pl/t9utoqIide7c2cCIAACA2dVc/7169Wqu/wbQKJYvZn0VExNjdAiN4ssjPu6++26v6R9//FFvvPFGIMIC4Cfh4eGqqqrymgaAYJOenq6CggJGZQE0iuWLWV+KO6n6GY4zZ87Uiy++GPJHEhMTE7Vq1SqvaQDB7Y477tBnn33mmWa7BRCMaq7/BoDG4AZQPsrMzFRubq4lboiUnJzsNc1z4IDg98QTT1x0GgAAIFRQzPrA4XAoKytLbrdbWVlZIf+4mr/85S9e05988olBkQDwRVhYmNe/AAAAoYhfOj7IzMz0XItWVVUV8qOz5z/3jefAAcEvMzNTNptNkmSz2UK+nwIAANZFMeuD7Oxsr2I21Iu7mgea1zUNIPhYrZ8CAADWRTHrg1tuueWi06GmZnSnrmkAwcdq/RQAALAuilkflJeXe01XVFQYFEnTiIuL85pu3769QZEAqC+r9VMAAMC6Gl3Mzp07V/PmzfNMnzp1SmPHjlVycrLGjBmjY8eOSar+QZWRkaHk5GTdfffdysvLk1R96urrr7+uESNGaOTIkcrJyWlsSAGzbds2r+mtW7caFEnTqFl2NYqKigyKBIHgcDg0adKkkL+RmdVYrZ8CYE7sgwD4Q4OL2dLSUk2dOlXvvfee1/y5c+eqf//+Wrt2re6//37NmDFDkvThhx+qefPmWrt2raZOnaoXX3xRkrR+/Xrl5eVpzZo1WrBggV588UU5nc5GpBQ4Vjvt1mr5Wo2VHjNlJWy3AMyAfRAAf2hwMbthwwZdccUVevzxx73mb9y4UampqZKkUaNG6fPPP1dlZaU2btyo0aNHS5JuuukmFRcX6/Dhw9q0aZNGjhypsLAwXXnllerYsaN27drViJQC5/bbb/eavuOOO4wJpIkMGjTIa5pr70KH1R4zZSVW66cAmA/7IAD+0uBi9q677tLYsWMVHh7uNb+oqEixsbGSpIiICLVq1UrFxcVe8yUpNjZWR48eVVFRkde1mTXzg9ETTzzh9fzGJ554wuCIAis6Ovqi0zCvzMxMuVwuSZLL5eLIeAixWj8FwHzYBwHwl4hLvWHt2rWaOXOm17zu3bvr/fffr9cXuN1uhYWFye12e53uVjPf5XLVOt8Xubm5Pr2/Ma6//nrt2rVLffv21Q8//KAffvihyb67qW3evNlr+vPPP2eUJ0R8+umnntP5nU6nPv30U0beQ4iV+ikA5sM+CIC/XLKYTU5OVnJycr0bjIuL0/Hjx9WhQwc5nU6dOXNGbdu2Vfv27VVUVKSuXbtKko4fP664uDh16NDB68ZCNfN9ER8f32SjhldccYVmzpypjIwMtWvXrkm+0yjDhg3TunXr5HQ6FRERoWHDhqlfv35GhwU/YNmGNiv1UwDMh30QgPoqLy+/6MCl3x/NM2TIEC1btkyStGbNGvXv31+RkZEaMmSIli9fLknauXOnoqOj1alTJyUkJGjlypWqqqpSQUGB9u3bpz59+vg7LDRAenq6Z9TcZrNpzJgxBkcEf0lPT/c6FZVlCwBoKuyDAPiL34vZiRMn6quvvlJKSooyMzP18ssvS5IefvhhVVRUKCUlRTNmzNDs2bMlSSNGjNBVV12l0aNH62c/+5lmzJihZs2a+Tssv7HS3ffsdrs6deokSerUqRMjPCHEbrcrKSlJNptNSUlJLNsQY6V+CoD5sA8C4C82t9vtNjqIhqoZdm6q04wdDocee+wxVVRUKCoqSn/4wx9CugN2OBx69NFHVVlZaYl8rcbhcGjmzJmaOnUqyzWEWK2fAmBO7IMA1Mel6j2/j8yGMqvdfS8zM1M1xzqskK/V2O12zZkzhx8RIcZq/RQAc2IfBMAfKGZ9kJ2d7XX3vezsbIMjCiyr5QuEArZbAABgFRSzPkhMTPS6IVJiYqLBEQWW1fIFQgHbLQAAsAqKWR8kJyd7Trt1u91KSUkxOKLAslq+QChguwUAAFZBMeuDtWvXeo14rF692uCIAstq+QKhgO0WAABYBcWsD7Kzs71GPEL9WjSr5QuEArZbAABgFRSzPkhMTFRERIQkKSIiIuSvRePaO8B8rNZPAQAA66KY9UF6errCwqr/ZGFhYRozZozBEQUW194B5mO1fgoAAFgXxawP7Ha7EhISJEkJCQkh/2y0tWvXek1z7R0Q/KzWTwEAAOuimG2gmtNvQ9n519px7R1gLlbopwAAgHVRzPrA4XDo888/lyRt2rRJxcXFBkcUWLfccstFpwEEH6v1UwAAwLooZn2QmZkpl8slSXK5XFq8eLHBETUtRnmA4Gf1fgoAAFgHxawPsrOz5XQ6JUlOpzPkT7vdunWr1/SWLVsMigRAfVmtnwIAANZFMesDqz3yIi4u7qLTAIKP1fopAABgXRSzPkhPT/d67mqoP/KiqKjootMAgo/V+ikAAGBdFLM+sNvt6tSpkySpU6dOIf/Ii6FDh150GkDwsVo/BQAArIti1gcOh0OHDx+WJB05ciTk7xJ6/t2Lb731VoMiAVBfVuunAACAdVHM+iAzM1Nut1uSNe4S+s4773hNL1q0yKBIANSX1fopAABgXRSzPrDaXUILCgouOg0g+FitnwIAANZFMeuDxMRErxurhPpdQrt163bRaQDBx2r9FAAAsC6KWR8kJyd7Tt9zu91KSUkxOKLAevrpp72mx40bZ1AkAOrLav0UAACwLopZH6xdu9ZrevXq1QZF0jS2bdvmNb1lyxaDIgFQX1brpwAAgHVRzPpgw4YNF50ONVbLFwgFbLcAAMAqKGZ9EBcXd9HpUGO1fIFQwHYLAACsgmLWB0VFRRedDjVWyxcIBWy3AADAKihmfTB06FCvu4QOHTrU4IgCy2r5AqGA7RYAAFgFxawP0tPTFRERIUmKjIzUmDFjDI4osKyWLxAK2G4BAIBVUMz6wG63a/jw4bLZbEpKSlK7du2MDimgrJYvEArYbgEAgFVQzProlltukc1m06233mp0KE0iOTlZzZs351mVgImw3QIAACugmPXRO++8I5fLpUWLFhkdSpNYu3atfvzxR55VCZgI2y0AALACilkf7N27VwUFBZKkgoIC5efnGxxRYDkcDmVlZcntdisrK0vFxcVGhwTgEthuAQCAVVDM+mD27Nle07NmzTIokqaRmZkpl8slSXK5XFq8eLHBEQG4FLZbAABgFRSzPqgZla1rOtRkZ2fL6XRKkpxOp7Kzsw2OCMClsN0CAACroJj1Qbdu3S46HWoSExM9j/iIiIhQYmKiwREBuBS2WwAAYBUUsz54+umnvabHjRtnUCRNIz09XWFh1atIWFgYz6sETIDtFgAAWAXFrA+2bdvmNb1lyxaDImkadrtdSUlJPK8SMBG2WwAAYBUUsz44/9ozK1yLlp6ervj4eEZ3ABNhuwUAAFZAMesDK16LZrfbNWfOHEZ3ABNhuwUAAFZAMesDrkUDAAAAgOBAMesDu92uhIQESVJCQgKjHgAAAABgkAYXszk5ObrvvvuUlpamRx99VIcOHZIknTp1SmPHjlVycrLGjBmjY8eOSZIqKiqUkZGh5ORk3X333crLy5Mkud1uvf766xoxYoRGjhypnJwcP6QVeDabzegQAAAAAMCyGlzMZmRkaPr06Vq+fLlSU1M1ffp0SdLcuXPVv39/rV27Vvfff79mzJghSfrwww/VvHlzrV27VlOnTtWLL74oSVq/fr3y8vK0Zs0aLViwQC+++KKcTqcfUvM/h8Ohzz//XJK0adMmFRcXGxwRAAAAAFhTg4rZiooKTZw4UVdffbUkqVevXjpy5IgkaePGjUpNTZUkjRo1Sp9//rkqKyu1ceNGjR49WpJ00003qbi4WIcPH9amTZs0cuRIhYWF6corr1THjh21a9cuf+Tmd5mZmXK5XJIkl8ulxYsXGxwRAAAAAFhTg4rZqKgopaWlSaou6ubPn68777xTklRUVKTY2FhJ1Xf8bdWqlYqLi73mS1JsbKyOHj2qoqIixcXFXTA/GGVnZ3tGjZ1OpyUezQMAAAAAwSjiUm9Yu3atZs6c6TWve/fuev/991VRUaEpU6bI6XTq6aefrvXzbrdbYWFhcrvdXteZ1sx3uVy1zvdFbm6uT+9vqD59+mjnzp2qqqpSeHi4+vTpY5prfAEAAAAglFyymE1OTlZycvIF88+cOaNx48apbdu2WrRokSIjIyVJcXFxOn78uDp06CCn06kzZ86obdu2at++vYqKitS1a1dJ0vHjxxUXF6cOHTqoqKjI027NfF/Ex8crOjrap880xBVXXKHHHnvMU8w+//zz3NEYAAAAAAKgvLz8ogOXjboBVLdu3TR37lxFRUV55g8ZMkTLli2TJK1Zs0b9+/dXZGSkhgwZouXLl0uSdu7cqejoaHXq1EkJCQlauXKlqqqqVFBQoH379qlPnz4NDSug7Ha7kpKSZLPZlJSURCELAAAAAAa55Mhsbb755htt2LBBPXv21N133y2pekT2t7/9rSZOnKgpU6YoJSVFrVu31pw5cyRJDz/8sF5++WWlpKQoKipKs2fPliSNGDFCu3fv9twcasaMGWrWrJk/cguI9PR0FRQUaMyYMUaHAgAAAACWZXO73W6jg2iommHnpjrNGAAAAADQNC5V7zX4NGMAAAAAAIxCMQsAAAAAMB2KWQAAAACA6VDMAgAAAABMh2IWAAAAAGA6FLMAAAAAANOhmAUAAAAAmA7FrI/27t2ru+++W/n5+UaH0iQcDocmTZqk4uJio0MBUE9stwAAwAooZn00e/ZsnT17VrNmzTI6lCaRmZmp3NxcLV682OhQANQT2y0AALACilkf7N27VwUFBZKkgoKCkB+ddTgcysrKktvtVlZWFqM8gAmw3QIAAKugmPXB7NmzvaZDfXQ2MzNTLpdLkuRyuRjlAUyA7RYAAFgFxawPakZl65oONdnZ2XI6nZIkp9Op7OxsgyMCcClstwAAwCooZn3QrVu3i06HmsTEREVEREiSIiIilJiYaHBEAC6F7RYAAFgFxawPJk+e7DU9ZcoUgyJpGunp6QoLq15FwsLCNGbMGIMjAnApbLcAAMAqKGZ90LNnT89obLdu3dS9e3eDIwosu92upKQk2Ww2JSUlqV27dkaHBOAS2G4BAIBVUMz6aPLkyWrRokXIj8rWSE9PV3x8PKM7gImw3QIAACuwud1ut9FBNFR5eblyc3MVHx+v6Ohoo8MBAAAAAPjJpeo9RmYBAAAAAKZDMQsAAAAAMB2KWQAAAACA6VDMAgAAAABMh2IWAAAAAGA6FLMAAAAAANOhmAUAAAAAmA7FLAAAAADAdCKMDqAx3G63JKmiosLgSAAAAAAA/lRT59XUfeczdTFbWVkpSfruu+8MjgQAAAAAEAiVlZVq1qzZBfNt7rrKXBNwuVw6c+aMIiMjZbPZjA4HAAAAAOAnbrdblZWVatmypcLCLrxC1tTFLAAAAADAmrgBFAAAAADAdChmAQAAAACmQzELAAAAADAdilkAAAAAgOlQzAIAAAAATIdiFgAAAABgOhSzAAAAAADTCbli9uDBg+rVq5defvllr/l79uxRr169tHTpUiUmJurgwYNerz/88MP6+9//Lknq1auX/vznP9f5+rmeffZZpaWladiwYbrhhhuUlpamtLQ0bd68WfPmzdO8efO83r906VJNmTJFkjRlyhTdfvvtns8kJSXpv/7rv5SXlxeUuUrS8ePHNWnSJN15551KTU3Vk08+qW+++cbrPdu3b9dDDz2k4cOHa9iwYZowYYKOHj3qiTk+Pt6Tc2pqqhITE/X2228HZb6LFy9WWlqaRo8erbS0NC1btszzWn2+68knn/R6vbi4WNdee+0F64XRuS5dulQDBgzw5Dpy5EitWbPGK9eRI0d6lltiYqImTJigs2fP6vHHH9dnn33mee/rr7+uG264QRUVFZ55t9566wWxGplvUlKS9uzZ45meMGGChg8f7pk+e/asbrjhBpWVlV0095rv9cWrr76qtLQ0jRw50mtb+OSTTzx9Q42///3vevjhhyVJ8+bN0+DBgz3vT05OVmpqqnJycur8rhUrVmj06NFKSUlRamqqFixYIKfT6ZXn66+/rqSkJI0cOVIpKSlef8PG9lFNme/hw4f1zDPPKDU1VaNGjdLEiRPlcDgkefe7dX1Xr169tGvXLq/3zJgxw6fl21S5nrtOpqSk6LnnntPJkyc9udZsy2lpaRo1apSSkpL02WefKScnR2lpaZ52SktLdc0112jRokWeeUuWLLkgViPzXbFihX72s595pr/77jv16tVLK1as8Mx78803NW/evIvmXvO9l+p7L+bMmTN69dVXNWzYMI0ePVrp6enavn275/VvvvlGTz31lJKSkpSUlKQnn3xSe/fu9bzeq1cvT2yjR4/WHXfcoZdffllVVVW1fp9R+5+mztXo/U9T52vk/keS1q1bp3vuuUejR49Wamqq/t//+3+Sat9fTpkyRUuXLpVUvRzOjVOSnE6nBg4cWGefce7fZeTIkXrppZdUXl4u6eL9gC/bfbDku2jRIs2YMcMz/de//lW9evXy6td+/vOfa+nSpZfsA8+Nwxd///vfPbXI6NGjlZycrD/84Q+efIcNG+b5zqFDh+qxxx7T8ePHNW3aNL3//vuedv7nf/5HvXr1UmFhoWfe//pf/+uCv5cv29/Fvl+qvU+rr4gGfSrItW3bVps3b1ZVVZXCw8MlSWvWrFG7du3q3cabb76pW2+9VR07drzo+xYsWCCpegWaP3++PvzwQ89rX3311SW/Z8KECbrnnns80zNmzNC8efM0d+7cesXZlLmWlZXpkUce0b333qs33nhDNptNW7du1RNPPKHMzEx1795dO3fuVEZGhubPn6++fftKqt4hP/vss/rkk08kSXFxcVq+fLmn3cLCQg0fPlwpKSnq0aNH0OT7j3/8Q3/+85/1pz/9Sc2aNZPD4dC9996rq6++WldffXW9vuuHH37QiRMn1LZtW0lSVlaWfvKTn9Trs02Zq1TdkcyaNUuSdOzYMQ0fPly33XabWrduLUl69913dfnll0uSKioqlJ6ermXLlmngwIHKycnRnXfeKUnatm2b+vbtq5ycHA0aNEgFBQVq0aKF57PBkO/AgQP15Zdfqnfv3qqqqtK3336rVq1a6cCBA+rSpYu++uor9e3bV82aNbto7unp6fWOrcYrr7wiqbqAf+SRRzzbQn12XA888IDGjx/vmX7//fc1a9asC4r4mvbee+89LViwQF27dtXp06c1ZcoUvfzyy3rttdckSePHj1fnzp21cuVKRUdHq6ioSE8++aRiY2N1++23S2p8H9VU+b788su66667NGrUKEnSO++8o1deeUXz58+vV5wdOnTQ+vXrdcMNN0iS3G63vvjii3p9tkZT5Sp5r5MzZszQO++8o8mTJ0vy3pYl6bPPPtPLL7+sTZs26eDBgzp9+rRatWqlbdu2adCgQdqyZYvGjRsnSdq5c6cSEhKCJt+BAwdq5syZnuktW7bo1ltv1ZYtWzR69GhPzJMmTVJBQUGdudf0Tw3ldrv1zDPPqHfv3lq9erWioqL0zTffaOzYsXrzzTfVvn17PfHEE3r99dc1ZMgQz3ePHTtW69atU1RUlCR57ftOnz6tUaNGacuWLZ7P1DBy/9PUuUrG7n+aOl8j9z+FhYV6/fXXtXTpUsXExOjMmTN6+OGHdeWVV9br82VlZfrXv/7lKaK3b98um8120c/U/F3cbrfGjx+vjz/+WGPGjJFUdz+wYMGCem/3wZLvwIEDNX369Fpj7tevnyQpJydHv/jFL/TRRx/53OfXV3x8vKcWOX36tFJSUjR48GBJ0vTp03XzzTdLklwulyZMmKD33ntPAwcOVFZWlh577DGv2Ddv3qz77rtPZWVlys/P9+wfz83Zl+2vru/PyMhoVM4hNzIrSS1btlTv3r29fohs3bpVt9xyS73bePTRRzVt2rRAhFeniooKHTt2TG3atKn3Z5oy1zVr1shut+vJJ5/0bMyDBw/WPffc4znStXDhQo0bN85TyErSmDFjNHLkSK8jNec6duyY3G63WrZseckYmjLfmrh+/PFHSZLdbtfbb7+tmJiYen/X0KFDtWHDBs/0unXrNGzYsHp91sj1+MyZM2rRooWio6Nrfb20tFSlpaVq27atBg0a5BnRKiwsVFRUlIYPH64tW7ZIqt7h1HSkF9OU+db8mJCqfzT27t1bgwcP1ubNmy8Z87m5G8nlcuno0aN19hfz58/XtGnT1LVrV0lSq1atNGPGDK1atUqHDh3Sl19+qe+//17/5//8H89yjouL0y9/+cs6l3tD+ih/uVS+x48f92yrUnW/U/ODqT7O31Z37tzp1Y81pUvlev57z5w5o8suu6zO9xw6dEht2rRRZGSkbrzxRs+B1i1btuiRRx7R4cOHdfr0aUnSl19+Wa/t1Z8ulm9cXJxiYmL0ww8/eGKeOHGiduzYIbfbrfLycu3bt0/XX399rW3X5N5YO3bs0OHDh/Xiiy96ipdrrrlG48aN08KFC/W73/1O99xzj1fhcuedd2rs2LGev+35SkpK9OOPP9balxi5/2nqXM/X1Pufps7XyP1PSUmJKisrVVZWJql6vztr1iz17NmzXp9PSkrS+vXrPdNr1qy5YPSyLpWVlfrxxx/r7KvO7Qcau93XaMp8+/Tpo4MHD3pGzbdv366JEyd61sUDBw6oVatWat++/UVz96fy8nKFh4d7Dgqd6+zZsyopKVGbNm00cOBAz3ZUUVGhvLw8Pfroo57Yv/rqK91www2e7aNGY7a/c7+/sUJyZFaSkpOTtX79eg0cOFC7d+9Wr1695Ha76/35p556Sp9++qn+/Oc/6/77729wHEuWLPEagj958qQGDhzomX777bf1/vvv68SJE4qOjtadd96pZ5991qfvaKpcv/76a/Xp0+eC+TfddJN+9atfSape4Ws7/eLc052KioqUlpam8vJylZSUqE+fPpo/f746dOhQr3ibKt+EhAQtXbpUt912m/r27aubb75ZaWlpXh3R2LFjFRkZ6Znev3//BbH+5je/0b333us5lSI2NrbesTblepydna20tDRVVVVp3759euqpp7w6rrFjxyo8PFwOh0MdOnTQQw89pOTkZLlcLu3fv1/l5eXasmWLBg8erMGDB+u5555TRkaGdu7cqaFDhwZVvgMHDtScOXMk/ecIZJcuXfTBBx8oPT1dX3zxhaZOnXrJ3P2tZhnUOHv2rNd2UdOfnDp1Si6XS7fffrtnlPVcxcXFOnTokK677jqv+W3atFHPnj31z3/+U4cOHVLfvn291l9JFxx59UcfVRd/5StVn76VkZGhefPmadCgQUpISNCIESPq/V0xMTHq0qWLdu/ereuuu05r1qzRyJEj9cc//jHocpX+0/c4HA6Fh4frueeeu+C7Tp8+rbKyMg0ePFgLFy6U9J8f0rfeeqt27NihqVOnasCAAfrb3/6ma665Rq1bt5bdbg+qfGti7tixow4ePKjrrrtOl19+ub799luVlpbqhhtuUERExCVzb4yvv/5a8fHxF4zK3HTTTXrzzTdVXFysn//85xd87oEHHvCaTktLk9PplMPhUI8ePTRt2rRaf5Abuf9p6lwlY/c/TZ2vkfufq6++WkOHDtWdd96p3r176+abb1Zqaqq6desmSZo2bZpatGjhef+RI0c0YMAAz/SIESP0f//v/9WECRNUUVGhb7/9Vg8//LB27NhR53fW9ANHjx5V+/btNWjQIM9rF+sHfNnugyHfiIgI9e3bV7t371bnzp3Vtm1bXXfddSouLlZJSYl27tzpdXDe1z6/vnJzc5WWlubZNpKTkxUXF+fJt3nz5iouLlabNm00cuRIPfbYY4qKilKbNm104MABz2+DAQMG6KWXXpLL5bog9hrXXnutT9tfXd/fWCE5MitVn7Ly+eefy+Vyae3atV4bfm2nCLjdboWF/efPERERoVmzZunNN9/UkSNHGhzHAw88oOXLl3v+mzBhgtfrEyZM0IoVK/T++++rsrJSt912m1q1auXTdzRVrjabrdbrPyorK72+p+b/KyoqPOfG33777Z4jkTWnGa9Zs0ZpaWlyu90+jQQ0Vb5RUVFauHChVq9ereTkZP3zn//U6NGjvU4ff/fdd72Wb3x8vFcbN9xwg3744QeVlpZq3bp19T6C2dS51nzX8uXLtWrVKmVnZ2v16tVatWqVV64rV67UK6+8opKSEo0YMUI2m03h4eG6/vrr9fXXX3vtmMvKynTy5Ent2rXL6wBOMOTbrl07tWrVSkePHvXEfOONNyo3N1cVFRU6dOiQ16l8deXubzXLoOa/c09Zkv7Tn3z00Udq2bKl+vbt69lJ1aY+22uNDz74wHNd07mFkT/6qLr4M9+EhAR9/vnnmj59utq1a6c33njD6xSuS32X9J+DKVVVVdq1a5f69+/vlzz9nav0n75ny5YtevTRR/Xkk096Dvyc+13dunXTFVdc4TmtbtCgQfryyy+Vl5enDh06qHnz5rrlllv097//XV988YXfRmX9mW9NzDt27PAsk5qYzz/yf7HcG6M++79zt6vHHnvMc43judd/Ll++XKtXr9Yzzzyj0tLSOgstI/c/TZ2rZOz+p6nzNXr/8+qrryo7O1sPPvigDh8+rP/6r/9SVlaWpOrTQM9dpxITE70+2759e7Vq1Up5eXnaunVrvfqLmra2b9+uAQMG6IUXXvC8drF+wJftPljyrYm5prCT/nMq7s6dO3XrrbfWK/fGiI+P1/Lly7Vy5Upt3bpV+/bt07vvvuvJd8WKFXr77bd18uRJDRs2zHPQqObgQU3szZo1U48ePfSvf/3rgthr+Lr9Xez7GyNki9mWLVvq6quvVk5Ojv72t795HVFo06aNSktLvd7vcDguuJbkpz/96QWnLf7xj3/0FGj+OmIvSd27d9ekSZM0efLkC2K7lKbK9brrrqv1OuBdu3Z5dqJ9+vTxFK1RUVGeDqJLly6qrKz0+lxYWJgmT56swsJC/e53vwu6fJctW6bt27erW7duGjNmjH7zm9/o0Ucf9bou5lJsNpvuuOMObdiwQevXr/e5mDVqPY6Li/M6AHGummuZzj1yXNMJ7t6923Nq5qBBg7RhwwbFxMTUu/hpynwHDhyoTZs26ezZs+rYsaOioqLUq1cvrVq1SjfccEOtPxZqy90IsbGxmj59un75y1/qwIEDkuTJLy0tTe3atVPXrl0vuKFRcXGxDhw4oGuuuUZ9+vTR7t27PT/iaq55fOWVVzw3EzpXY/qoxrpUvidOnNBrr72m6OhoJSQk6Be/+IVnR15cXFzv77nzzju1YcMGz4+ncw+UNJVL5Vqb+++/X/n5+SopKfGa36pVK73++ut69913PetC7969tX//fm3evNnzY2vw4MH6+uuvlZOT0+SnGNcn3wEDBmj37t3aunWr5wfVrbfeqt27d9cZc225N8b111+v3NzcC/ZjX331leLj4732fVL19W/Lly/XgAEDPKc4nuuxxx5TbGysZs+eLSm49j9Nnev5mnr/Y0S+Ru1/Nm7cqDVr1qh9+/a699579dZbb2natGn6+OOP693GiBEjtG7dOq1du1YjR470zC8sLPTk+dRTT13wubCwMN133321Ltfa+oGGbPdG5ztw4EB99dVXXjEPHjxY//jHP7R7927ddNNN9crdX1q1aqXk5OQL/uY33nijHn74Yf3v//2/PTeFrIl927ZtXvuGnJwcHTlyRD179tSGDRs8Of/617/2fM7X7a+272+MkC1mpeqj7G+++abi4+O9TkUYOHCgPvnkE89R7B07dujs2bO13nzoqaeeUklJiWdn+OCDD3oKtAcffNCv8Y4aNUqdO3du0ClRTZHryJEj9eOPP+qdd97xtLdlyxYtXbrUcxrx+PHjtWDBAv3jH//wtPvtt9/qwIEDnpv6nCsiIkKTJ0/WwoULdezYsaDKt6qqynOKkVQ90vz999/rmmuuqXecNbFmZmYqKirKp5sZNWWu56uoqNCXX35ZZ64TJ05UTk6ONm7cKKm641q+fLl++tOfemIcPHiw3nvvPZ9/HDdVvoMGDdIHH3zgddSwJubajkDWlbtRbrzxRt1+++164403JMnr6LIkPf/883rttdc8O8czZ85o2rRpGjlypDp37qx+/fqpZ8+e+u///m/PD7KysjJt3ry5ziKuMX1UY10s39atWys7O9vrbq979+6V3W736XqcmJgYde7cWb/+9a+9frQ0tUst2/Nt375dHTt2rLV/6dKlix566CHNmDFDbrdbNptN8fHx+vOf/+xZzy+77LKAjEbX16XybdOmjZo1a6bNmzd7TlGMj49Xfn6+ioqKdMUVV9Ta7vm5N0b//v3Vs2dPvfbaa56iJzc3V4sWLdLPfvYzjR07Vp988ok2bdrk+cyBAwf07bff1rk9TZkyRR9//LG+/fbboNr/NHWu52vq/Y8R+Rq1/2nWrJnefPNNz11j3W639uzZo969e9e7jZriLi8vz2sZtW/f3pPnb3/721o/u3379jqX6/n9QEO3eyPz7dWrl44cOaLvv//ec1neoEGDtGnTJsXExHid0nyx3P2lqqpKO3bsqPVv/vjjj+vMmTP605/+JEm6+eab9cUXX8jtdnsuRxg8eLD+9Kc/6cYbb5RUfR1+Tc4TJ0705NeQ7e/872+MkC5m77jjDu3Zs+eCHyU/+9nPdObMGY0aNUqjRo3Sr3/9ay1cuLDWc+9rTltsKpMnT9b//M//+Hx0pilyjYqK0h/+8Aft27dPI0aM0IgRI/T73/9e7733nqeg6N+/v9566y3NnTtXqampGjp0qKZPn65f/OIXdf5ISkhI0A033OA5yhMs+d57770aMWKEHnzwQSUnJystLU3XXHON7rvvvnrHKUl9+/bVsWPHvK7f80VTrcc11yzddddduuuuu9S3b1+vu9iey26366mnntLs2bPldDr105/+VCdOnPDaCQ8cOFD5+fk+3cCpKfO96aabtG/fPq+YBw8erO++++6iMZ+fu1R9Ol/NfykpKb6k2yg///nP9de//lU7d+684LWUlBRNnDhREydO1KhRo3Tffffpmmuu0S9/+UtJ1aM2CxYsUJs2bXT//fcrNTVVqampKisru+gOtaF9lD/UlW94eLjeffddrVmzRnfccYeSk5M1d+5c/eY3v6n1INrFjBgxQkePHr3g2uGmdrFlK1VfR5eWlqa7775b7777rue+BbV5+umndfDgQa1cuVJS9bZZUlLi9YOuf//+io2NrfOmO4F2qXwHDBig5s2be26AFBYWpq5du17yJl3n5/7OO+94ba/nPurjUubPn6+oqCiNGjVKI0eO1IwZM/TGG2/o5ptv1hVXXKE//OEP+tOf/qRRo0Zp+PDheuGFF/Tggw8qNTW11vauuuoq3XXXXXr99dcveM3o/U9T5ioZv/9p6nyN2v8MHDhQzz33nJ555hkNHz5cI0aMUHh4uE/3QWjfvr1at26t2267rV7vrxnJu+uuu5Sdne3ZB9Xm/H6godt9jabO12azqUePHurVq5fnQEdMTIwiIyMvuS6en/srr7zitWzr6hvPV3PN7F133aW0tDQ1a9as1pHyqKgoPf/885o3b55KS0vVunVrNW/e3OsAS+/eveVwOC4ae0O3v/O/X6o+YH5uzvVlczf2cCUAAAAAAE0spEdmAQAAAAChiWIWAAAAAGA6FLMAAAAAANOhmAUAAAAAmA7FLAAAAADAdChmAQAAAACmQzELAAAAADAdilkAAAAAgOn8f+P+OLqFP0AGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.8.27.a\n",
    "# team by 4\n",
    "# TOP/BOT point with assault\n",
    "# munchkin\n",
    "# attackDamage +1\n",
    "ladder_result = take_and_clean('rankings827NF', '827NF')\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0ef1514a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3AAAAAABLocwCAAAAAEyHMgsAAAAAMB3KLAAAAADAdCizAAAAAADT4WrGABCCXC6X3Kdq5So+YnQUBJn7VK1cMS6jYwAt5nK5VHPmpPZ+VWh0FARZzZmTcrmoCQh9rMwCAAAAAEyHj1wAIATFxsaqovakYlOuNToKgsxVfESxsbFGxwBaLDY2Vt+dcuvHN44zOgqCbO9XheynYAqszAIAAAAATIcyCwAAAAAwHcosAAAAAMB0KLMAAAAAANOhzAIAAAAATIcyCwAAAAAwHW7NAwAAAMBwp8/Wac+BSqNjtIm6+gZJUnRUpMFJWt/ps3Wt9tyUWQAAAACG6tmzp9ER2lR5ebkk6bowed+t9fOlzAIAAAAw1IwZM4yO0Kbmzp0rSVq8eLHBScyNc2YBAAAAAKZDmQUAAAAAmA5lFgAAAABgOpRZAAAAAIDpUGYBAAAAAKbD1YyBIPn2dL1e+viE0THaxOm68/dG6xRt/XujfXu6Xp2NDgEAAIBGKLNAEITbvdGq/v/eaN2ut/777qzw+/kCAACYAWUWCALujQYAAAC0Lc6ZBQAAAACYTtiuzDacc6m6fLPRMdqEx31WkhRhb29wktbXcM4lqavRMQAAAAC0srAss+F2/lv5/5/f2LNnOJS8rmH38wUAAADCUViWWc5vBAAAAABz45xZAAAAAIDphOXKLAAAAFqu5qxTe78qNDpGq6urP3/9kego619/RDr/c5XijI4BfC/KLAAAAAIWTteouHD9kR43hEvBiwurny/Mq8Vl9vTp05o8ebJ+97vf6dprr9XOnTv1zDPPqLa2VhkZGXrsscckSfv379eTTz6pmpoaDR48WAsXLpTdbtexY8eUnZ2tkydP6oYbbtDSpUvVsWPHFr8xADA796lauYqPGB2jTXjOuSVJEe2s/xmr+1StlGB0CqDlwukaJFx/BAhNLfqt4X//93+Vm5urgwcPSpLOnTun+fPna82aNerWrZtmzJih7du3Kzk5WdnZ2Vq0aJEGDBig+fPna926dcrKytLChQuVlZWl8ePHa+XKlVq1apWys7OD8d4AwLTC7RNx31XXE8LgfSeE388XAIDW0KIyu27dOi1YsEBz5syRJO3du1c9evTQddddJ0nKzMzUxo0b1bt3b507d04DBgyQJE2aNEkrVqzQPffco927d2vlypW+7ffddx9lFkDYC6cVD4lVDwAAELgWldmnn37ab1xZWam4uL+eSxAfH6+KiopG2+Pi4lRRUSGXy6VOnTrJbrf7bQcAAAAAoClBPTnJ4/HIZrP5xl6vVzab7YrbL/x5sUvHV6O0tLT5ocNAdXW1JKmkpMTgJLAK5hSCjTmFYGI+IdiYUwg25lRwBLXMJiQkqKqqyjeuqqpSfHx8o+0nTpxQfHy8HA6Hqqur1dDQoMjISN/jA5WYmKiYmJigvAcrWrdunSRp0KBBBieBVTCnEGzMKQQT8wnBxpxCsDGnrk5tbW2TC5cRwXyxW265RV9//bUOHTqkhoYGvfXWWxoxYoS6d++umJgY3ycPBQUFGjFihKKiojR48GAVFp6/P9kbb7yhESNGBDMSAAAAAMCCgroyGxMTo7y8PM2aNUu1tbVKTk7W2LFjJUlLly5Vbm6uTp8+rf79++v++++XJC1YsEA5OTlavXq1unXrpueeey6YkQAAAAAAFhSUMvvOO+/4/j506FBt2LCh0WP69u2r9evXN9revXt3rVmzJhgxAAAAAABhIqiHGQMAAAAA0BYoswAAAAAA06HMAgAAAABMhzILAAAAADAdyiwAAAAAwHQoswAAAAAA06HMAgAAAABMhzILAAAAADAdyiwAAAAAwHQoswAAAAAA06HMAgAAAABMhzILAAAAADAdu9EBAACAdW3dulWbNm1q09f86quvdO7cOc2ePVvt27dv09dOT09XWlpam74mAIQrVmYBAICl1NfXS5IOHz5scBIAQGtiZRYAALSatLS0Nl2pLCsr06xZsyRJdXV1mjFjhnr27Nlmrw8AaDuszAIAAMvIy8trcgwAsA7KLAAAsIyjR4/6jY8cOWJQEgBAa6PMAgAAy7DZbE2OAQDWQZkFAACWMWzYML/x8OHDDUoCAGhtlFkAAGAZM2fO9P3dZrNpxowZBqYBALQmyiwAALAMh8PhW40dPny4HA6HwYkAAK2FW/MAAABLmTlzpk6dOsWqLABYHGUWAABYisPh0JIlS4yOAQBoZRxmDAAAAAAwHcosAAAAAMB0KLMAAAAAANOhzAIAAAAATIcyCwAAAAAwHcosAAAAAMB0KLMAAAAAANOhzAIAAAAATIcyCwAAAAAwHcosAAAAAMB0KLMAAAAAANOxGx0AAAAAAIywdetWbdq0qc1ft7y8XJI0d+7cNn/t9PR0paWltfnrtgbKLAAAAAC0odjYWKMjWAJlFgAAAEBYSktLs8wqZTjinFkAAAAAgOlQZgEAAAAApkOZBQAAAACYDmUWAAAAAGA6lFkAAAAAgOlQZgEAAAAApkOZBQAAAACYTkiU2TfffFPjxo1Tenq6/vu//9voOAAAAACAEGc3OkBFRYWWL1+u119/XdHR0Zo8ebJuv/129e7d2+hoAAAAAIAQZfjK7M6dO5WUlKQuXbqoQ4cOGjNmjDZu3Gh0LAAAAABACDO8zFZWViouLs43jo+PV0VFhYGJAAAAAAChzvDDjD0ej2w2m2/s9Xr9xlejtLQ02LEspbq6WpJUUlJicBJYBXMKwcacAhDK2EcBocnwMpuQkKA9e/b4xlVVVYqPjw/oORITExUTExPsaJaxbt06SdKgQYMMTgKrYE4h2JhTAEIZ+yjAGLW1tU0uXBp+mPFPfvITffDBB3I6nTp79qw2bdqkESNGGB0LAAAAABDCDF+Z7dq1qx577DHdf//9qq+v1913360f//jHRscCAAAAAIQww8usJGVmZiozM9PoGAAAAADQ6pxOp/Ly8pSTkyOHw2F0HNMy/DBjAAAAAAgn+fn52rdvn9auXWt0FFOjzAIAAABAG3E6ndqyZYu8Xq82b94sp9NpdCTTConDjAEAAIDvs3XrVm3atKnNX7e8vFySNHfu3DZ/7fT0dKWlpbX566L15Ofny+PxSDp/m9K1a9fqkUceMTiVObEyCwAAADQhNjZWsbGxRseARRQXF8vtdkuS3G63tm3bZnAi82JlFgAAAKaQlpZmyCplWVmZ5s6dq5ycHPXs2bPNXx/WkpKSok2bNsntdstutys1NdXoSKbFyiwAAADQhLy8PJ05c0Z5eXlGR4EFZGVlKSLifA2LiIjQlClTDE5kXpRZAAAA4ArKysp09OhRSdKRI0d8588CzeVwODRq1CjZbDaNHj2aW/O0AGUWQMDq6+tVVlbG1fcAAJZ36Wosq7MIhqysLPXv359V2RbinFnAxIy6quOBAwfkdrs1e/Zsde/evU1fm6s6AgDa0oVV2QuOHDliUBJYicPh0JIlS4yOYXqszAIISH19ve8KfC6XS/X19QYnAgAAQDhiZRYwMSOu6vjiiy/6VmYjIyPVq1cv7o0GALCs9u3b6+zZs75xhw4dDEwD4GKszAIICPdGAwCEk4uLrCSdOXPGoCQALkWZBRCQlJQURUZGSpIiIyO5NxoAwNKuv/56v3GPHj0MSgLgUpRZAAHJysqS1+uVJHm9Xq7CBwCwtOzs7CbHAIxDmQUQMI/H4/cn0FJnz57Vvn37uH8jgJDTq1cv3+psjx491LNnT4MTAbiAC0ABCEh+fr7feO3atVwAykKMut1TWVmZvF6vnnjiCd10001t9rrc6gnA1cjOztbcuXNZlQVCDCuzAALyzjvv+I23bt1qUBJYxdmzZ32HrtfW1ja62AoAGK1Xr15av349q7JAiGFltg0ZteJx4MAB1dbW6vHHH1dUVFSbvjarHtZjt9ubHMPcjLjd08yZM/3G9fX1WrFiRZtmAAAA5sPKbBjwer3yeDw6duyY0VFgAadPn25yDATq8OHDfuNDhw4ZlAQAAJgJSyptyIgVD6fTqfvuu0+S9N1332nu3LlyOBxtmgHW0r17dx09etQ3vvbaaw1MAytgTgEAgOZgZdbiVq9e7Tf+3e9+Z1ASWEX37t2bHAOBYk4BAIDmoMxa3Pvvv+833rFjh0FJYBUlJSV+4z179hiUBFbBnAIAAM1BmQUQEJvN1uQYCBRzCgAANAdl1uISEhKaHAOBSkpKanIMBIo5BQAAmoMya3G9e/f2G994440GJYFVxMTENDkGAsWcAhDqnE6n5syZI6fTaXQUABehzFrcpeee7d6926AksIpLz8O+dAwEaufOnU2OAcBo+fn52rdvn9auXWt0FAAXocxaXERERJNjIFB2u73JMRCouLg4v3F8fLxBSQCgMafTqS1btsjr9Wrz5s2szgIhhGZjcWfOnGlyDATq9OnTTY6BQFVVVfmNKysrDUoCAI3l5+fL4/FIkjweD6uzQAihzFocVwlFsF1//fV+4x49ehiUBFaRmprqNx45cqRBSQCgseLiYrndbkmS2+3Wtm3bDE4E4ALKrMXddtttfuMhQ4YYlARWkZ2d3eQYCFRGRkaTYwAwUkpKiu+UGrvd3ugDOADGocyGGa/Xa3QEAPDzhz/8ockxABgpKyvLd82RiIgITZkyxeBEAC6gzFrcrl27mhwDgXr22WebHAOBuvSK2Dt27DAoCQA05nA4NGrUKNlsNo0ePVoOh8PoSAD+H5chBRCQw4cP+40PHTpkUBIAANpGVlaWDh8+zKosEGJYmbW47t27NzkGAsUFoBBsXKgOQKhzOBxasmQJq7JAiKHMWlxOTo7feN68eQYlgVVMnz7dbzxjxgyDksAquFAdAABoDsosgIC88847fuOtW7calARWxYXqAADA1aDMWlxeXl6TYyBQxcXFfmPut4eW4kJ1AACgOSizFnf06FG/8ZEjRwxKAqu4dNWMVTQAAAAYgTJrcVxYBcF24V57VxoDgWI/BQAAmoPfQi1u2LBhfuPhw4cblARWkZKS0uQYCBT7KQAA0ByUWYubOXOm35grz6Klpk2b5luNjYiI0LRp0wxOBLNjPwUAAJqDMhsGLi4eQEs5HA6lpqZKklJTU7nnHoKC/RQAAAgUvzVYXH5+vt8viWvXrjU4Eaxg2rRpSkxMZFUWQcF+CgAANAdl1uKKi4vldrslSW63m9uoICgcDoeWLFnCqiyCgv0UAABojhaX2eeff14vvPCCb/zdd99p+vTpysjI0L333quqqipJUl1dnbKzs5WRkaG77rpLZWVlks7f1mPx4sUaO3asxo0bp5KSkpZGwkVSUlJkt9slSXa73Xd4KACECvZTAACgOZpdZqurqzV//ny9/PLLftuff/55DR48WEVFRbrnnnv09NNPS5LWrFmj9u3bq6ioSPPnz9e8efMkSW+//bbKyspUWFiolStXat68eb5P6NFyWVlZfuMpU6YYlARW4nQ6NWfOHDmdTqOjwALYTwEAgOZodpndunWrfvjDHzY6Z664uFiZmZmSpAkTJujdd99VfX29iouLdccdd0iSbrvtNjmdTh07dkzbt2/XuHHjFBERoRtuuEHdunXTxx9/3IK3hIs5HA5FR0dLkqKjozksFEGRn5+vffv2cW4jgoL9FAAAaI5ml9k777xT06dPV2RkpN/2yspKxcXFSTp/uFinTp3kdDr9tktSXFycvv32W1VWVio+Pr7RdgRHWVmZzpw5I0k6c+aMysvLDU4Es3M6ndqyZYu8Xq82b97M6ixajP0UAABoDvv3PaCoqEjPPPOM37aePXvqlVdeuaoX8Hq9ioiIkNfrlc1ma7Td4/FcdnsgSktLA3p8OFm+fLnfeMGCBfrVr35lTBhYwoYNG/wu1rNixQrf0RhAc7CfAgAAzfG9ZTYjI0MZGRlX/YTx8fE6ceKEEhIS5Ha7VVNToy5duqhr166qrKzU9ddfL0k6ceKE4uPjlZCQoMrKSt/3X9geiMTERMXExAT0PeHi0lWzkydPatCgQQalgRU888wz8ng8kiSPx6PS0lL9+te/NjYUTI39FAAAuJza2tomFy6Dfmue5ORkvfHGG5KkwsJCDR48WFFRUUpOTlZBQYEkac+ePYqJidEPfvADjRgxQm+++aYaGhp06NAhHTx4UDfffHOwYwEIkqSkJL/x0KFDDUoCAACAcPa9K7OB+uUvf6mcnByNHz9enTt31tKlSyVJU6dO1VNPPaXx48crOjpaS5YskSSNHTtWe/fu9V0c6umnn1a7du2CHStsxcXF+W6PJCngVW/gUnV1dX7j2tpag5LAKthPAQCA5rB5vV6v0SGa68KyM4cZX1lmZqYaGhp848jISL355psGJoLZMacQbMwpAABwOd/X94J+mDFCy8UX17rcGAgUcwrBxpwCAADNQZm1uOTk5CbHQKCYUwg25hQAAGgOyqzFTZs2zXero4iICE2bNs3gRDA75hSCjTkFAACagzJrcQ6HQ6mpqZKk1NRUORwOgxPB7JhTCDbmFAAAaA7KbBi488471aFDB911111GR4FFTJs2TYmJiaygIWjYTwEAgEBRZsNAUVGRzp49q6KiIqOjwCIcDoeWLFnCChqChv0UAAAIFGXW4pxOp7Zs2SKv16vNmzfL6XQaHQkA/LCfAgAAzUGZtbj8/Hx5PB5Jksfj0dq1aw1OBAD+2E8BAIDmoMxaXHFxsdxutyTJ7XZr27ZtBicCAH/spwAAQHNQZi0uJSXF75YXF64YCrSE0+nUnDlzOBwUQZGSkqLIyEhJUmRkJPspAABwVSizFpeVleV3+N6UKVMMTgQryM/P1759+zgcFEGRlZUlr9crSfJ6veynAADAVaHMWpzL5fIbnzp1ypggsAwu1gMAAIBQQJm1uGeffbbJMRAoLtaDYMvPz/c7HYI5BSDUcHoNEJoosxZ3+PBhv/GhQ4cMSgKr4GI9CDbmFIBQx+k1QGiizFpc9+7d/cbXXnutQUlgFSkpKbLb7ZIku93OxXrQYswpAKGM02uA0EWZtbgbbrihyTEQqKysLL9DQrlYD1qKOQUglHF6DRC6KLMW99FHH/mNS0pKDEoCq3A4HBo+fLgk6ac//akcDofBiWB2DodDt912myRpyJAhzCkAIYVTIYDQRZm1uJSUFL8xh+8hGGw2m9ERYDEHDx6UJH399dfGBgGAS3AqBBC6KLMWl5GR0eQYCJTT6dR7770nSXrvvfc4dwgtVlZWpqNHj0qSjh49qvLycoMTAcBfcSoEELoosxZXVFTkW0Wz2WwqKioyOBHMjnOHEGzcQgxAKHM4HBo1apRsNptGjx7NqRBACKHMWlxxcbG8Xq8kyev1cp4HWoxzhxBs3EIMQKjLyspS//79WZUFQgxl1uI4zwPBxpxCsF1//fV+4x49ehiUBAAuz+FwaMmSJazKAiGGMmtxnOeBYGNOIdiys7ObHAMAAFwOZdbiOM8DwcacQrD16tXLtzrbo0cP9ezZ0+BEAADADCizYYDzPBBszCkEW3Z2tjp06MCqLAAAuGp2owOg9V04zwMAQlVsbKx69uypLl26GB0FAACYBCuzAAKWn5+vffv2cVseBA1zCgAABIoyCyAgTqdTW7Zskdfr1ebNm+V0Oo2OBJNjTgEAgOagzAIISH5+vjwejyTJ4/GwkoYWY04BAIDmoMwCCEhxcbHcbrckye12a9u2bQYngtkxpwAAQHNQZgEEJCUlRXb7+WvH2e12paamGpwIZsecAgAAzUGZBRCQrKwsRUSc33VERERwex60GHMKAAA0B2UWQEAcDodGjRolm82m0aNHy+FwGB0JJsecAgAAzcF9ZgEELCsrS4cPH2YFDUHDnAIAAIGyeb1er9Ehmqu2tlalpaVKTExUTEyM0XEAAAAAAEHyfX2Pw4wBAAAAAKZDmQUAAAAAmA5lFgAAAABgOpRZAAAAAIDpUGYBAAAAAKZDmQUAAAAAmA5lFgAAAABgOpRZAAAAAIDpNLvMlpSU6O6779bEiRP1wAMP6OjRo5Kk7777TtOnT1dGRobuvfdeVVVVSZLq6uqUnZ2tjIwM3XXXXSorK5Mkeb1eLV68WGPHjtW4ceNUUlIShLcFAAAAALCyZpfZ7OxsLVq0SAUFBcrMzNSiRYskSc8//7wGDx6soqIi3XPPPXr66aclSWvWrFH79u1VVFSk+fPna968eZKkt99+W2VlZSosLNTKlSs1b948ud3uILw1AAAAAIBVNavM1tXV6Ze//KX69u0rSerTp4+OHz8uSSouLlZmZqYkacKECXr33XdVX1+v4uJi3XHHHZKk2267TU6nU8eOHdP27ds1btw4RURE6IYbblC3bt308ccfB+O9AQAAAAAsqlllNjo6WhMnTpQkeTwevfjiixo1apQkqbKyUnFxcZIku92uTp06yel0+m2XpLi4OH377beqrKxUfHx8o+0AAAAAAFyJ/fseUFRUpGeeecZvW8+ePfXKK6+orq5OOTk5crvdmjFjxmW/3+v1KiIiQl6vVzabrdF2j8dz2e2BKC0tDejxAAAAAABz+94ym5GRoYyMjEbba2pq9PDDD6tLly5avXq1oqKiJEnx8fE6ceKEEhIS5Ha7VVNToy5duqhr166qrKzU9ddfL0k6ceKE4uPjlZCQoMrKSt/zXtgeiMTERMXExAT0PQAAAACA0FVbW9vkwmWLLgDVo0cPPf/884qOjvZtT05O1htvvCFJKiws1ODBgxUVFaXk5GQVFBRIkvbs2aOYmBj94Ac/0IgRI/Tmm2+qoaFBhw4d0sGDB3XzzTc3NxYAAAAAIAzYvF6vN9Bv+uyzz3TXXXepd+/estvPL+7Gx8fr3/7t33Tq1Cnl5OTom2++UefOnbV06VJde+21qq2t1VNPPaXS0lJFR0dr0aJF6t+/v7xer5YsWaJ3331XkjRv3jwNHz78qnJcaOqszAIAAACAtXxf32tWmQ0VlFkAAAAAsKbv63vNPswY5uF0OjVnzhw5nU6jowAAAABAUFBmw0B+fr727duntWvXGh0FAAAAAIKCMmtxTqdTW7Zskdfr1ebNm1mdBQAAAGAJlFmLy8/Pl8fjkSR5PB5WZwEAAABYAmXW4oqLi+V2uyVJbrdb27ZtMzgRAAAAALQcZdbiUlJSfLdPstvtSk1NNTgRAAAAALQcZdbisrKyFBFx/sccERGhKVOmGJwIAAAAAFqOMmtxDodDo0aNks1m0+jRo+VwOIyOBAAAAAAtZjc6AFpfVlaWDh8+zKosAAAAAMugzIYBh8OhJUuWGB0DAAAAAIKGw4wBAAAAAKZDmQUAAAAAmA5lFgAAAABgOpRZAAAAAIDpUGYBAAAAAKZDmQUAAAAAmA5lFgAAAABgOpRZAAAAAIDp2I0O0BJer1eSVFdXZ3ASAAAAAEAwXeh5F3rfpUxdZuvr6yVJX375pcFJAAAAAACtob6+Xu3atWu03ea9Us01AY/Ho5qaGkVFRclmsxkdBwAAAAAQJF6vV/X19erYsaMiIhqfIWvqMgsAAAAACE9cAAoAAAAAYDqUWQAAAACA6VBmAQAAAACmQ5kFAAAAAJgOZRYAAAAAYDqUWQAAAACA6VBmAQAAAACmQ5k1qSNHjqhPnz566qmn/Lbv379fffr00euvv66RI0fqyJEjfl+fOnWqPvzwQ0lSnz599Mc//vGKX0f4WbhwoSZOnKhx48YpMTFREydO1MSJE/Xaa68pJyfH77Effvihpk6dKkl64YUXNGzYMN/jMzIylJmZqZKSEiPeBkJITU2NFi5cqNGjR+uOO+5QVlaWPvjgA9/XP/vsMz300ENKT09Xenq6fv7zn+vAgQO+r/fp08c3r+644w6lpqbqqaeeUkNDgxFvByFg48aNmjRpku644w5lZmbq3//93yVd/t+vnJwcvf7665KkkSNHasyYMX5fd7vdSkpKarR/Q3j48MMPNXDgQN/+JSMjQ7///e8lnZ9Po0eP9u1/0tLS9OCDD+rEiRPKzc3VK6+84nue//qv/1KfPn1UUVHh2/YP//AP/D4VhqZNm6YtW7b4xosXL9bAgQNVV1fn2zZ8+HCNHDnyivNL0mV/h8fl2Y0OgObr0qWL3nvvPTU0NCgyMlKSVFhYKIfDcdXPsWzZMg0fPlzdunVrrZgwkQULFkg6/2HJ/fffr4KCAkny/TLYlMmTJ2vWrFm+8SuvvKK8vLxGH5ggfHi9Xs2cOVP9+vXTn/70J0VHR+uzzz7T9OnTtWzZMnXt2lX/+I//qMWLFys5OVmStGXLFk2fPl0bN25UdHS0JPnmoSSdPn1aEyZM0I4dO3zfg/BRUVGhxYsX6/XXX1dsbKxqamo0depU3XDDDVf1/efOndMXX3yhPn36SJI++OAD2Wy21oyMEJeYmKg1a9ZIOr9/GT9+vIYNGyZJWrRokW6//XZJksfj0ezZs/Xyyy8rKSlJmzZt0oMPPihJ2rFjh4YPH6733ntPd999t86dO6fy8nINHDjQkPcE4yQlJamkpESjRo2SJO3cuVMDBgxQSUmJhg4dqkOHDqlDhw7q2rWrHn300cvOr+zsbCPfgumwMmtiHTt2VL9+/bR7927ftvfff18/+clPrvo5HnjgAeXm5rZGPIQxj8ejb7/9Vtdcc43RUWCgXbt26dixY5o3b56vmP7oRz/Sww8/rFWrVumll17SpEmT/ErpqFGjNH36dJ0+ffqyz+lyuXT27Fl16dKlLd4CQozL5VJ9fb3OnTsn6fy/g3l5eerdu/dVfX96errefvtt37iwsLDRai3CV21trSIjI9W5c+dGXztz5oxcLpeuueYaJSUl6eOPP5Yk1dXVqaysTA888IB27NghSfrkk080cOBA334P4WPo0KG+uVFRUaHo6GiNGTPGNzf27Nnj+7DkYhfPLwSGlVmTy8jI0Ntvv62kpCTt3btXffr0kdfrvervf+ihh7R582b98Y9/1D333NOKSWF277zzjiZOnOgbnzlzRgkJCb7xH/7wB23ZskXfffedPB6PUlJS9Jvf/MaIqAgRn376qRITExutfN12221atmyZnE6nHn/88UbfN3nyZL/xxIkT5Xa7dfLkSfXq1Uu5ubm65ZZbWjU7QlPfvn2VlpamUaNGqV+/frr99tuVmZmpHj16SJJyc3PVoUMH3+OPHz+uIUOG+MZjx47Vr3/9a82ePVt1dXX6/PPPNXXqVO3atavN3wtCQ2lpqSZOnCiPx6PDhw8rIyND8fHxks7Pp/bt28vpdOqaa67RuHHj9OCDDyo6OlrXXHONvvnmGx09elQDBgzQkCFD9OSTT8rj8WjPnj0BLSzAOvr376/Dhw+rtrZWO3bs0LBhwzRs2DA9+uijys7O1p49e5SWlqYDBw5ccX4hMKzMmtzIkSP17rvvyuPxqKioSBkZGb6vXe7QKa/Xq4iIv/7Y7Xa78vLytGzZMh0/frxNMsOcRo4cqYKCAt9/ixYt8vv65MmTVVBQoHXr1qljx44aMGCA7xcChCebzXbZc1vr6+t9+6eL91MPPvigJk6cqJEjR6qwsNC3vaCgQH/60580c+ZMVVdXKy0trfXDI2QtXLhQ77zzjqZMmaJjx47p7//+77Vp0yZJ5w8LvXg/NXLkSL/v7dq1qzp16qSysjK9//77l10hQXhJTExUQUGB3nzzTb3//vs6ePCg/vVf/1XS+fm0YcMGrVixQn/5y180evRo32prUlKSPvroI19hadeunXr16qUvvvhCe/bs0fDhw418WzBIZGSkbrnlFn366ae+w8+vu+46nTt3Tn/5y1/08ccfKykpSVLT8wtXjzJrch07dlTfvn1VUlKiP//5z36fBF5zzTWqrq72e/zJkyf1N3/zN37bbrrpJg43RtDExcVp0aJF+ud//md98803RseBgW655RaVlpaqvr7eb/snn3yixMRE3Xzzzfroo49821955RUVFBRoyJAhvsNIL/bggw8qLi5OS5YsafXsCE3FxcUqLCxU165d9bOf/UzLly9Xbm6u1q9ff9XPMXbsWG3cuFFFRUUaN25cK6aF2XTq1EkZGRl++yVJuvXWWzV16lQ98cQTcrvdks6X2U8++UQ7d+70fSgybNgwlZSU6Pjx41d96Dus58IHHXv37tWAAQMknT/8eOvWrYqNjVWnTp38Hn+5+YWrR5m1gIyMDC1btkyJiYmy2/965HhSUpJee+0132HHu3bt0pkzZ9SrV69Gz/HQQw/J5XL5jvMHWuLWW29VSkqKnn32WaOjwECDBw9W79699Zvf/MZXaEtLS7V69Wr94he/0PTp0/Xaa69p+/btvu/55ptv9Pnnn/sdQXKxnJwcrV+/Xp9//nmbvAeElnbt2mnZsmW+q3x6vV7t379f/fr1u+rnuFBmy8rK9KMf/ai1osKEGhoatGvXrsvOi2nTpqmmpkavvvqqJOn222/X7t275fV6FRcXJ+l8mX311Vd16623tmluhJahQ4eqoKBAN910k+/38mHDhunll1++4tEgl84vXD3KrAWkpqZq//79jT5h/sUvfqGamhpNmDBBEyZM0G9/+1utWrXKr/BecOFwYyBYHn/8cW3btk179uwxOgoM9OKLLyo6OloTJkzQuHHj9PTTT+vZZ5/V7bffrh/+8If6/e9/r1dffVUTJkzQmDFj9Nhjj2nKlCnKzMy87PPdeOONuvPOO7V48eI2ficIBUlJSXr00Uc1c+ZMjRkzRmPHjlVkZKQeeeSRq36Orl27qnPnzvrpT3/aiklhFhfOmb3zzjs1ceJEtWvXTg899FCjx0VHR+tXv/qVXnjhBVVXV6tz585q376975BRSerXr59OnjzJ+bJh7qabbtKpU6f8DjVPSkpSeXn5FefGpfNLkiZMmKCBAwf6/sPl2byBXC0IAAAAAIAQwMosAAAAAMB0KLMAAAAAANOhzAIAAAAATIcyCwAAAAAwHcosAAAAAMB0KLMAAAAAANOhzAIAAAAATIcyCwAAAAAwnf8DNtLfPPo3pi8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ladder_result = take_and_clean('rankings827NC', '827NC')\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "# print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "ladder_result = take_and_clean('rankings827NF', '827NF')\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "# print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4f305d7b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "BRW -- 2570.81 -- 2343.28\n",
      "OGR -- 2242.03 -- 2163.45\n",
      "THR -- 2043.13 -- 2122.94\n",
      "MUN -- 2030.68 -- 1983.40\n",
      "WRL -- 2027.12 -- 1932.18\n",
      "SHM -- 1660.84 -- 1606.21\n",
      "NAME -- MEAN   --   MED\n",
      "MUN-BRW -- 2731.80 -- 2646.61\n",
      "OGR-BRW -- 2588.22 -- 2220.67\n",
      "THR-BRW -- 2520.25 -- 2387.31\n",
      "SHM-BRW -- 2432.04 -- 2207.46\n",
      "BRW-WRL -- 2393.63 -- 2159.15\n",
      "THR-OGR -- 2257.16 -- 2205.93\n",
      "OGR-WRL -- 2117.42 -- 2089.23\n",
      "MUN-OGR -- 2100.41 -- 1994.35\n",
      "MUN-WRL -- 2095.37 -- 2059.43\n",
      "OGR-SHM -- 2092.33 -- 2112.17\n",
      "THR-WRL -- 2083.72 -- 1924.46\n",
      "MUN-THR -- 1996.81 -- 1929.20\n",
      "SHM-WRL -- 1512.27 -- 1493.14\n",
      "MUN-SHM -- 1469.85 -- 1591.30\n",
      "THR-SHM -- 1206.97 -- 1316.98\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.9.09a\n",
    "# team by 2\n",
    "# TOP/BOT/CEN point with assault\n",
    "# munchkin\n",
    "# attackDamage +1\n",
    "ladder_result = take_and_clean('rankings909A', '909A')\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "996eae7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "THR -- 2592.79 -- 3115.71\n",
      "SHM -- 1962.97 -- 1858.74\n",
      "BRW -- 1935.11 -- 1773.11\n",
      "MUN -- 1607.13 -- 1478.21\n",
      "OGR -- 1537.25 -- 1474.70\n",
      "WRL -- 1435.40 -- 1318.87\n",
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 2756.14 -- 3150.86\n",
      "THR-BRW -- 2733.86 -- 3110.43\n",
      "MUN-THR -- 2460.10 -- 3147.38\n",
      "THR-OGR -- 2366.33 -- 3032.98\n",
      "THR-WRL -- 2249.06 -- 2858.19\n",
      "SHM-BRW -- 2058.92 -- 1921.96\n",
      "MUN-SHM -- 1759.99 -- 1782.94\n",
      "MUN-BRW -- 1682.04 -- 1581.25\n",
      "OGR-SHM -- 1648.26 -- 1586.24\n",
      "OGR-BRW -- 1637.21 -- 1559.52\n",
      "BRW-WRL -- 1543.67 -- 1484.34\n",
      "SHM-WRL -- 1523.35 -- 1428.25\n",
      "MUN-OGR -- 1212.29 -- 1020.55\n",
      "MUN-WRL -- 1080.70 -- 955.05\n",
      "OGR-WRL -- 1036.35 -- 938.11\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.9.09B\n",
    "# team by 2\n",
    "# TOP/BOT/CEN point with assault\n",
    "ladder_result = take_and_clean('rankingsG910B', 'G910B')\n",
    "# ladder_result\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7109db79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "THR -- 2957.45 -- 3653.80\n",
      "SHM -- 2222.43 -- 2030.75\n",
      "BRW -- 2084.16 -- 1490.99\n",
      "MUN -- 1957.94 -- 1375.73\n",
      "OGR -- 1905.48 -- 1416.21\n",
      "WRL -- 1800.91 -- 1249.60\n",
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 3058.59 -- 3591.23\n",
      "THR-BRW -- 2976.40 -- 3722.90\n",
      "MUN-THR -- 2854.15 -- 3615.58\n",
      "THR-OGR -- 2777.47 -- 3556.54\n",
      "THR-WRL -- 2696.04 -- 3248.56\n",
      "SHM-BRW -- 2163.80 -- 1998.64\n",
      "MUN-SHM -- 2098.68 -- 2115.15\n",
      "OGR-SHM -- 1983.58 -- 1743.75\n",
      "MUN-BRW -- 1844.62 -- 1337.56\n",
      "OGR-BRW -- 1827.10 -- 1403.52\n",
      "SHM-WRL -- 1790.08 -- 1339.71\n",
      "BRW-WRL -- 1725.95 -- 1289.90\n",
      "MUN-OGR -- 1635.60 -- 1084.11\n",
      "MUN-WRL -- 1558.00 -- 986.63\n",
      "OGR-WRL -- 1507.79 -- 1077.53\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.9.10c\n",
    "# team by 4\n",
    "ladder_result = take_and_clean('rankingsG910C', 'G910C')\n",
    "# ladder_result\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2799b236",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME -- MEAN   --   MED\n",
      "SHM -- 2219.49 -- 2305.46\n",
      "THR -- 2061.97 -- 2147.22\n",
      "BRW -- 2037.55 -- 2119.20\n",
      "WRL -- 1941.14 -- 2019.75\n",
      "MUN -- 1861.08 -- 2116.15\n",
      "OGR -- 1769.11 -- 1837.33\n",
      "NAME -- MEAN   --   MED\n",
      "THR-SHM -- 2312.04 -- 2346.18\n",
      "SHM-BRW -- 2310.90 -- 2355.46\n",
      "MUN-SHM -- 2153.20 -- 2304.55\n",
      "SHM-WRL -- 2146.98 -- 2200.63\n",
      "THR-BRW -- 2088.16 -- 2114.45\n",
      "OGR-SHM -- 2064.83 -- 2233.38\n",
      "BRW-WRL -- 2033.03 -- 2129.34\n",
      "THR-WRL -- 2028.57 -- 2096.55\n",
      "MUN-THR -- 1998.32 -- 2210.04\n",
      "MUN-BRW -- 1951.83 -- 2126.14\n",
      "THR-OGR -- 1856.57 -- 1863.78\n",
      "MUN-WRL -- 1839.35 -- 2071.28\n",
      "OGR-BRW -- 1821.56 -- 1907.28\n",
      "OGR-WRL -- 1732.45 -- 1744.60\n",
      "MUN-OGR -- 1556.20 -- 1690.11\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Version 0.9.13c\n",
    "# team by 4\n",
    "ladder_result = take_and_clean('G914B', 'G914B')\n",
    "# ladder_result\n",
    "unit_scores = collect_scores(ladder_result)\n",
    "print_score_data(unit_scores)\n",
    "boxplot_score(unit_scores, 6)\n",
    "\n",
    "pairs_scores = collect_pairs_scores(ladder_result)\n",
    "print_score_data(pairs_scores)\n",
    "boxplot_score(pairs_scores, 6)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}